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href="https://oxford.academia.edu/MBroome">Matthew Broome</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Oxford</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://unizg.academia.edu/AndrejDujella"><img class="profile-avatar u-positionAbsolute" alt="Andrej Dujella" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/29857/9709/9189/s200_andrej.dujella.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://unizg.academia.edu/AndrejDujella">Andrej Dujella</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Zagreb</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://gmu.academia.edu/EstelaBlaistenBarojas"><img class="profile-avatar u-positionAbsolute" alt="Estela Blaisten-Barojas" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/49782/3973570/4642817/s200_estela.blaisten-barojas.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://gmu.academia.edu/EstelaBlaistenBarojas">Estela Blaisten-Barojas</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">George Mason University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://cria.academia.edu/ArmandoMarquesGuedes"><img class="profile-avatar 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social-profile-avatar-container"><a href="https://ncit.academia.edu/RoshanChitrakar"><img class="profile-avatar u-positionAbsolute" alt="Roshan Chitrakar" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/371695/9733675/15833098/s200_roshan.chitrakar.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ncit.academia.edu/RoshanChitrakar">Roshan Chitrakar</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Nepal College of Information Technology</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://moscowstate.academia.edu/IrinaKolesnik"><img class="profile-avatar u-positionAbsolute" border="0" alt="" 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href="https://unsa-ba.academia.edu/IsadSaric">Isad Saric</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Sarajevo</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="45199469">View All (7)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="45199469" href="https://www.academia.edu/Documents/in/Information_Systems"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/WeiLu36","location":"/WeiLu36","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/WeiLu36","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div 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data-work-id="23303520"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303520/Genome_wide_association_study_identifies_a_new_breast_cancer_susceptibility_locus_at_6q25_1"><img alt="Research paper thumbnail of Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303520/Genome_wide_association_study_identifies_a_new_breast_cancer_susceptibility_locus_at_6q25_1">Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1</a></div><div class="wp-workCard_item"><span>Nature Genetics</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303520"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303520"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303520; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303520]").text(description); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303519"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303519/Single_crystal_metallic_nanowires_and_metal_semiconductor_nanowire_heterostructures"><img alt="Research paper thumbnail of Single-crystal metallic nanowires and metal/semiconductor nanowire heterostructures" class="work-thumbnail" src="https://attachments.academia-assets.com/43765695/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303519/Single_crystal_metallic_nanowires_and_metal_semiconductor_nanowire_heterostructures">Single-crystal metallic nanowires and metal/semiconductor nanowire heterostructures</a></div><div class="wp-workCard_item"><span>Nature</span><span>, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ad6150a134f9039d9db81a34d5f6138e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765695,"asset_id":23303519,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765695/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" 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Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[{"id":43765695,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43765695/thumbnails/1.jpg","file_name":"nature02674.pdf20160315-602-1cdxvr2","download_url":"https://www.academia.edu/attachments/43765695/download_file","bulk_download_file_name":"Single_crystal_metallic_nanowires_and_me.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43765695/nature02674-libre.pdf20160315-602-1cdxvr2?1458098286=\u0026response-content-disposition=attachment%3B+filename%3DSingle_crystal_metallic_nanowires_and_me.pdf\u0026Expires=1739968029\u0026Signature=NcueM24hKWxVtbAVYU7cYkRByXqVJgv0keJvVlxr-2SQmeOi2zeDTfzcvWjDnfmcwS9hVT7hy6YrfG79IkqOrghRhqNTgyERWi04ZMxag549a~LGUgsqVskPRX-DqwaekBWxF~2Bgq~1k9fSqcH1eRRwgR48qhZtjTSzzuk5U4jJVCEHRiQDi0Vbx9CxT6A~p8ipyfAniEKJ3jSkSxZ3UXQx6hFtQxcAbIEPllqap4cwoE48vdTH7U11gkAPMMoTS7I3mB6AGuAKJrgRUFEZZhvQro2wXC55B4V4NSJSEwos-A2GIlg2rH~PPI1nEMIgbcO0GGdfYUxaA0SCMGiWSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303518"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303518/Effects_of_Shape_and_Strain_Distribution_of_Quantum_Dots_on_Optical_Transition_in_the_Quantum_Dot_Infrared_Photodetectors"><img alt="Research paper thumbnail of Effects of Shape and Strain Distribution of Quantum Dots on Optical Transition in the Quantum Dot Infrared Photodetectors" class="work-thumbnail" src="https://attachments.academia-assets.com/43765686/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303518/Effects_of_Shape_and_Strain_Distribution_of_Quantum_Dots_on_Optical_Transition_in_the_Quantum_Dot_Infrared_Photodetectors">Effects of Shape and Strain Distribution of Quantum Dots on Optical Transition in the Quantum Dot Infrared Photodetectors</a></div><div class="wp-workCard_item"><span>Nanoscale Research Letters</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We present a systemic theoretical study of the electronic properties of the quantum dots inserted...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We present a systemic theoretical study of the electronic properties of the quantum dots inserted in quantum dot infrared photodetectors (QDIPs). The strain distribution of three different shaped quantum dots (QDs) with a same ratio of the base to the vertical aspect is calculated by using the short-range valence-force-field (VFF) approach. The calculated results show that the hydrostatic strain e H varies little with change of the shape, while the biaxial strain e B changes a lot for different shapes of QDs. The recursion method is used to calculate the energy levels of the bound states in QDs. Compared with the strain, the shape plays a key role in the difference of electronic bound energy levels. The numerical results show that the deference of bound energy levels of lenslike InAs QD matches well with the experimental results. Moreover, the pyramidshaped QD has the greatest difference from the measured experimental data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="393b979e45307c03f1aafbe8752bea6f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765686,"asset_id":23303518,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765686/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303518"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303518"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303518; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303518]").text(description); $(".js-view-count[data-work-id=23303518]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303518; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303518']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303517"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303517/Copper_sulfide_nanoparticles_for_photothermal_ablation_of_tumor_cells"><img alt="Research paper thumbnail of Copper sulfide nanoparticles for photothermal ablation of tumor cells" class="work-thumbnail" src="https://attachments.academia-assets.com/43765689/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303517/Copper_sulfide_nanoparticles_for_photothermal_ablation_of_tumor_cells">Copper sulfide nanoparticles for photothermal ablation of tumor cells</a></div><div class="wp-workCard_item"><span>Nanomedicine</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Copper sulfide (CuS) nanoparticles were developed as a new type of agent for photothermal ablatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Copper sulfide (CuS) nanoparticles were developed as a new type of agent for photothermal ablation of cancer cells. Materials & methods: CuS nanoparticles were synthesized by wet chemistry and their application in photothermal ablation of tumor cells was tested by irradiation using a near-infrared (NIR) laser beam at 808 nm to elevate the temperature of aqueous solutions of CuS nanoparticles as a function of exposure time and nanoparticle concentration. CuS nanoparticle-mediated photothermal destruction was evaluated using human cervical cancer HeLa cells with respect to laser dose and nanoparticle concentration. Their toxicity was evaluated by the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay. Results: CuS nanoparticles have an optical absorption band in the NIR range with a maximum absorbance at 900 nm. Irradiation by a NIR laser beam at 808 nm resulted in an increase in the temperature of the CuS nanoparticle aqueous solution as a function of exposure time and nanoparticle concentration. CuS nanoparticle-induced photothermal destruction of HeLa cells occured in a laser dose-and nanoparticle concentration-dependent manner, and displayed minimal cytotoxic effects with a profile similar to that of gold nanoparticles. Conclusion: Owing to their unique optical property, small size, low cost of production and low cytotoxicity, CuS nanoparticles are promising new nanomaterials for cancer photothermal ablation therapy.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fb1b2235c5ecb769aede6c9f8200fac9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765689,"asset_id":23303517,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765689/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303517"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303517"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303517; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303516"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303516/Preparation_of_carbon_coated_iron_oxide_nanoparticles_dispersed_on_graphene_sheets_and_applications_as_advanced_anode_materials_for_lithium_ion_batteries"><img alt="Research paper thumbnail of Preparation of carbon-coated iron oxide nanoparticles dispersed on graphene sheets and applications as advanced anode materials for lithium-ion batteries" class="work-thumbnail" src="https://attachments.academia-assets.com/43765681/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303516/Preparation_of_carbon_coated_iron_oxide_nanoparticles_dispersed_on_graphene_sheets_and_applications_as_advanced_anode_materials_for_lithium_ion_batteries">Preparation of carbon-coated iron oxide nanoparticles dispersed on graphene sheets and applications as advanced anode materials for lithium-ion batteries</a></div><div class="wp-workCard_item"><span>Nano Research</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report a novel chemical vapor deposition (CVD) based strategy to synthesize carbon-coated Fe 2...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report a novel chemical vapor deposition (CVD) based strategy to synthesize carbon-coated Fe 2 O 3 nanoparticles dispersed on graphene sheets (Fe 2 O 3 @C@G). Graphene sheets with high surface area and aspect ratio are chosen as space restrictor to prevent the sintering and aggregation of nanoparticles during high temperature treatments (800 °C ). In the resulting nanocomposite, each individual Fe 2 O 3 nanoparticle (5 to 20 nm in diameter) is uniformly coated with a continuous and thin (two to five layers) graphitic carbon shell. Further, the core-shell nanoparticles are evenly distributed on graphene sheets. When used as anode materials for lithium ion batteries, the conductive-additive-free Fe 2 O 3 @C@G electrode shows outstanding Li + storage properties with large reversible specific capacity (864 mAh/g after 100 cycles), excellent cyclic stability (120% retention after 100 cycles at 100 mA/g), high Coulombic efficiency (~99%), and good rate capability.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="127e86eefa83bba2f89151c3a5d0cd08" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765681,"asset_id":23303516,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765681/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303516"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303516"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303516; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303515"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303515/Coherent_Single_Charge_Transport_in_Molecular_Scale_Silicon_Nanowires"><img alt="Research paper thumbnail of Coherent Single Charge Transport in Molecular-Scale Silicon Nanowires" class="work-thumbnail" src="https://attachments.academia-assets.com/43765683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303515/Coherent_Single_Charge_Transport_in_Molecular_Scale_Silicon_Nanowires">Coherent Single Charge Transport in Molecular-Scale Silicon Nanowires</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report low-temperature electrical transport studies of molecule-scale silicon nanowires. Indiv...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report low-temperature electrical transport studies of molecule-scale silicon nanowires. Individual nanowires exhibit well-defined Coulomb blockade oscillations characteristic of charge addition to a single structure with length scales of at least 400 nm. Further studies demonstrate coherent charge transport through discrete single particle levels extending the whole devices, and show that the ground state spin follows the Lieb-Mattis theorem. In addition, depletion of the nanowires suggests that phase coherent single-dot characteristics are accessible in a regime where correlations are strong. PACS numbers: 73.63.Nm, 73.23.Hk, Studies of carbon nanotubes [1] and semiconductor nanowires [2] have demonstrated their potential as building blocks for nanoscale electronics. An advantage of these building blocks versus nanostructures fabricated by 'top-down' processing is that, critical nanoscale features are defined during synthesis, which can yield uniform structures at the atomic scale. Indeed, isolated carbon nanotube transistors have shown exceptional properties [3], although difficulties in preparing pure semiconductor nanotubes make large scale integration challenging. Silicon nanowires (SiNWs) could overcome issues faced by nanotubes since current growth methods enable reproducible control over both size and electronic properties of the nanowires . Recent studies have begun to elucidate fundamental transport properties of chemically-synthesized semiconducting nanowires , which are required to move beyond initial roomtemperature devices assembled with SiNWs [5, 8]; however, similar fundamental studies of SiNWs have not been reported. In this Letter we address this critical issue through low-temperature electrical transport measurements on molecular-scale SiNWs configured as singleelectron transistors (SETs).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07b2b6df1b76c7b5fc44005fbac9f1a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765683,"asset_id":23303515,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303515"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303515"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303515; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303514"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303514/Strong_and_Tunable_Spin_Orbit_Coupling_of_One_Dimensional_Holes_in_Ge_Si_Core_Shell_Nanowires"><img alt="Research paper thumbnail of Strong and Tunable Spin−Orbit Coupling of One-Dimensional Holes in Ge/Si Core/Shell Nanowires" class="work-thumbnail" src="https://attachments.academia-assets.com/43765679/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303514/Strong_and_Tunable_Spin_Orbit_Coupling_of_One_Dimensional_Holes_in_Ge_Si_Core_Shell_Nanowires">Strong and Tunable Spin−Orbit Coupling of One-Dimensional Holes in Ge/Si Core/Shell Nanowires</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigate the low-temperature magneto-transport properties of individual Ge/Si core/shell na...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigate the low-temperature magneto-transport properties of individual Ge/Si core/shell nanowires. Negative magneto-conductance was observed, which is a signature of one-dimensional weak antilocalization of holes in the presence of strong spin-orbit coupling. The temperature and back gate dependences of phase coherence length, spin-orbit relaxation time, and background conductance were studied. Specifically, we show the spin-orbit coupling strength can be modulated by more than five folds with an external electric field. These results suggest the Ge/Si nanowire system possesses strong and tunable spin-orbit interactions and may serve as a candidate for spintronics applications.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e35e460e21c8575a91ef25cbf6a3605a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765679,"asset_id":23303514,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765679/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303514"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303514"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303514; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303513"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303513/Si_a_Si_Core_Shell_Nanowires_as_Nonvolatile_Crossbar_Switches"><img alt="Research paper thumbnail of Si/a-Si Core/Shell Nanowires as Nonvolatile Crossbar Switches" class="work-thumbnail" src="https://attachments.academia-assets.com/43765684/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303513/Si_a_Si_Core_Shell_Nanowires_as_Nonvolatile_Crossbar_Switches">Si/a-Si Core/Shell Nanowires as Nonvolatile Crossbar Switches</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Radial core/shell nanowires (NWs) represent an important class of nanoscale building blocks with ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Radial core/shell nanowires (NWs) represent an important class of nanoscale building blocks with substantial potential for exploring fundamental electronic properties and realizing novel device applications at the nanoscale. Here, we report the synthesis of crystalline silicon/amorphous silicon (Si/a-Si) core/shell NWs and studies of crossed Si/a-Si NW metal NW (Si/a-Si × M) devices and arrays. Room-temperature electrical measurements on single Si/a-Si × Ag NW devices exhibit bistable switching between high (off) and low (on) resistance states with well-defined switching threshold voltages, on/off ratios greater than 10 4 , and current rectification in the on state.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ddeaf9a37f2248127e5b01d04fc62c50" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765684,"asset_id":23303513,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765684/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303513"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303513"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303513; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303512"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303512/Biodistribution_Pharmacokinetics_and_Nuclear_Imaging_Studies_of_111In_labeled_rGel_BLyS_Fusion_Toxin_in_SCID_Mice_Bearing_B_Cell_Lymphoma"><img alt="Research paper thumbnail of Biodistribution, Pharmacokinetics, and Nuclear Imaging Studies of 111In-labeled rGel/BLyS Fusion Toxin in SCID Mice Bearing B Cell Lymphoma" class="work-thumbnail" src="https://attachments.academia-assets.com/43765685/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303512/Biodistribution_Pharmacokinetics_and_Nuclear_Imaging_Studies_of_111In_labeled_rGel_BLyS_Fusion_Toxin_in_SCID_Mice_Bearing_B_Cell_Lymphoma">Biodistribution, Pharmacokinetics, and Nuclear Imaging Studies of 111In-labeled rGel/BLyS Fusion Toxin in SCID Mice Bearing B Cell Lymphoma</a></div><div class="wp-workCard_item"><span>Molecular Imaging and Biology</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose: We examined the biodistribution and pharmacokinetics of 111 In-labeled rGel/BLyS, a gelo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose: We examined the biodistribution and pharmacokinetics of 111 In-labeled rGel/BLyS, a gelonin toxin (rGel)-B lymphocyte stimulator (BLyS) fusion protein.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6f83270868ed932fb2660a997fa67dbe" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765685,"asset_id":23303512,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765685/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303512"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303512"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303512; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303511"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303511/A_known_functional_polymorphism_Ile120Val_of_the_human_PCMT1_gene_and_risk_of_spina_bifida"><img alt="Research paper thumbnail of A known functional polymorphism (Ile120Val) of the human PCMT1 gene and risk of spina bifida" class="work-thumbnail" src="https://attachments.academia-assets.com/43765687/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303511/A_known_functional_polymorphism_Ile120Val_of_the_human_PCMT1_gene_and_risk_of_spina_bifida">A known functional polymorphism (Ile120Val) of the human PCMT1 gene and risk of spina bifida</a></div><div class="wp-workCard_item"><span>Molecular Genetics and Metabolism</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Folate binding protein 1 (Folr1) knockout mice with low maternal folate concentrations have been ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Folate binding protein 1 (Folr1) knockout mice with low maternal folate concentrations have been shown to be excellent animal models for human folate-responsive neural tube defects (NTDs). Previous studies using the Folr1 knockout mice revealed that maternal folate supplementation upregulates the expression of the PCMT1 gene in Folr1 nullizygous neural tube tissue during neural tube closure. PCMT1 encodes the protein repair enzyme L-isoaspartate (D-aspartate) Omethyltransferase (PIMT) that converts abnormal D-aspartyl and L-isoaspartyl residues to the normal L-aspartyl form. PIMT is known to protect certain neural cells from Bax-induced apoptosis. Pcmt1deficient mice present with abnormal AdoMet/AdoHcy homeostasis. We hypothesized that a known functional polymorphism (Ile120Val) in the human PCMT1 gene is associated with an increased risk of folate-responsive human NTDs. A case-control study was conducted to investigate a possible association between this polymorphism and risk of spina bifida. Compared to the Ile/Ile and Ile/Val genotypes, the homozygous Val/Val genotype showed decreased risk for spina bifida (adjusted odds ratio = 0.6, 95% confidence interval: 0.4-0.9). Our results showed that the Ile120Val polymorphism of PCMT1 gene is a genetic modifier for the risk of spina bifida. Val/Val genotype was associated with a reduction in risk for spina bifida.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a74493e6f6758599c559b9ac76c6fbb6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765687,"asset_id":23303511,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765687/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303511"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303511"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303511; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303510"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303510/Genome_wide_transcriptome_and_proteome_analysis_of_Escherichia_coli_expressing_IrrE_a_global_regulator_of_Deinococcus_radiodurans"><img alt="Research paper thumbnail of Genome-wide transcriptome and proteome analysis of Escherichia coli expressing IrrE, a global regulator of Deinococcus radiodurans" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303510/Genome_wide_transcriptome_and_proteome_analysis_of_Escherichia_coli_expressing_IrrE_a_global_regulator_of_Deinococcus_radiodurans">Genome-wide transcriptome and proteome analysis of Escherichia coli expressing IrrE, a global regulator of Deinococcus radiodurans</a></div><div class="wp-workCard_item"><span>Molecular BioSystems</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gram-negative bacterium Escherichia coli and the Gram-positive Deinococcus radiodurans fundamenta...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gram-negative bacterium Escherichia coli and the Gram-positive Deinococcus radiodurans fundamentally differ in their cell structures and gene regulations. We have previously reported that IrrE, a Deinococcus genus-specific global regulator, confers significantly enhanced tolerance to various abiotic stresses. To better understand the global effects of IrrE on the regulatory networks, we carried out combined transcriptome and proteome analysis of E. coli expressing the IrrE protein. Our analysis showed that 216 (4.8%) of all E. coli genes were induced and 149 (3.3%) genes were repressed, including those for trehalose biosynthesis, nucleotides biosynthesis, carbon source utilization, amino acid utilization, acid resistance, a hydrogenase and an oxidase. Also regulated were the EvgSA two-component system, the GadE, GadX and PurR master regulators, and 10 transcription factors (AppY, GadW, YhiF, AsnC, BetI, CynR, MhpR, PrpR, TdcA and KdgR). These results demonstrated that IrrE acts as global regulator and consequently improves abiotic stress tolerances in the heterologous host E. coli. The implication of our findings is discussed in relation to the evolutionary role of horizontal gene transfer in bacterial regulatory networks and environmental adaptation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303510"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303510"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303510; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="23303509"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303509/Down_regulation_of_specific_gene_expression_by_double_strand_RNA_induces_neural_stem_cell_differentiation_in_vitro"><img alt="Research paper thumbnail of Down-regulation of specific gene expression by double-strand RNA induces neural stem cell differentiation in vitro" class="work-thumbnail" src="https://attachments.academia-assets.com/43765677/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303509/Down_regulation_of_specific_gene_expression_by_double_strand_RNA_induces_neural_stem_cell_differentiation_in_vitro">Down-regulation of specific gene expression by double-strand RNA induces neural stem cell differentiation in vitro</a></div><div class="wp-workCard_item"><span>Molecular and Cellular Biochemistry</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the postgenomic era the elucidation of the physiological function of genes has become the rate...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the postgenomic era the elucidation of the physiological function of genes has become the rate-limiting step in the quest to understand the development and function of living organisms. Double-stranded RNA (dsRNA) interferes with gene expression in various species, a phenomenon known as RNA interference (RNAi). We show here that RNAi is also effective in modifying gene expression in neural stem cell differentiation. The progenitor cells were obtained from E14 mouse embryonic forebrain and maintained using N-2 medium containing basic fibroblast growth factor (bFGF), epidermal growth factor (EGF) and B27.A gene (NM017084.1) was previously discovered and validated to express obviously differently between differentiated and undifferentiated neural stem cells in our laboratory. Here we report a long double-stranded RNA to knock out or knock down this gene. The results demonstrated that following RNAi inhibition of expression of the NM017084.1 gene, the differentiation of neural stem cells is accelerated. Thus the NM017084.1 gene may play a pivotal role in the process of differentiation of neural stem cells. (Mol Cell Biochem 275: 215-221, 2005)</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e84228dd3dc3fbcc89fb92884846ab9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765677,"asset_id":23303509,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765677/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303509"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303509"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303509; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303508"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303508/Surface_plasmon_polariton_coupling_induced_transmission_of_subwavelength_metallic_grating_with_waveguide_layer"><img alt="Research paper thumbnail of Surface plasmon polariton coupling induced transmission of subwavelength metallic grating with waveguide layer" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303508/Surface_plasmon_polariton_coupling_induced_transmission_of_subwavelength_metallic_grating_with_waveguide_layer">Surface plasmon polariton coupling induced transmission of subwavelength metallic grating with waveguide layer</a></div><div class="wp-workCard_item"><span>Microelectronic Engineering</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT In this paper, we present the nanofabrication of a potentially coupled waveguide–surface...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT In this paper, we present the nanofabrication of a potentially coupled waveguide–surface plasmon resonance biosensor (CWSPRBs) by nanoimprint lithography. Subwavelength metallic gratings (SWMGs) with the pitches of 300 and 500nm were fabricated by direct imprinting on PMMA layer which subsequently covered with a layer of Au. The key issue in this device is the coupling of surface plasmon with waveguide modes, which has been carefully investigated by measuring the coupling induced enhancement of light transmission. Both our measurement and simulation results indicate that the resonant coupling does exist for both 300 and 500nm pitched gratings. This proves that the developed nanoimprint lithography is applicable for the CWSPRBs sensors which has significant advantages over traditional ones with a prism.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303508]").text(description); $(".js-view-count[data-work-id=23303508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=23303508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303508,"title":"Surface plasmon polariton coupling induced transmission of subwavelength metallic grating with waveguide layer","internal_url":"https://www.academia.edu/23303508/Surface_plasmon_polariton_coupling_induced_transmission_of_subwavelength_metallic_grating_with_waveguide_layer","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303507/4D_CT_motion_estimation_using_deformable_image_registration_and_5D_respiratory_motion_modeling"><img alt="Research paper thumbnail of 4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling" class="work-thumbnail" src="https://attachments.academia-assets.com/43765682/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303507/4D_CT_motion_estimation_using_deformable_image_registration_and_5D_respiratory_motion_modeling">4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Four-dimensional computed tomography ͑4D-CT͒ imaging technology has been developed for radiation ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Four-dimensional computed tomography ͑4D-CT͒ imaging technology has been developed for radiation therapy to provide tumor and organ images at the different breathing phases. In this work, a procedure is proposed for estimating and modeling the respiratory motion field from acquired 4D-CT imaging data and predicting tissue motion at the different breathing phases. The 4D-CT image data consist of series of multislice CT volume segments acquired in ciné mode. A modified optical flow deformable image registration algorithm is used to compute the image motion from the CT segments to a common full volume 3D-CT reference. This reference volume is reconstructed using the acquired 4D-CT data at the end-of-exhalation phase. The segments are optimally aligned to the reference volume according to a proposed a priori alignment procedure. The registration is applied using a multigrid approach and a feature-preserving image downsampling maxfilter to achieve better computational speed and higher registration accuracy. The registration accuracy is about 1.1Ϯ 0.8 mm for the lung region according to our verification using manually selected landmarks and artificially deformed CT volumes. The estimated motion fields are fitted to two 5D ͑spatial 3D + tidal volume+ airflow rate͒ motion models: forward model and inverse model. The forward model predicts tissue movements and the inverse model predicts CT density changes as a function of tidal volume and airflow rate. A leave-one-out procedure is used to validate these motion models. The estimated modeling prediction errors are about 0.3 mm for the forward model and 0.4 mm for the inverse model.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="70a6f36faf1ebe11f7885f5a631e720b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765682,"asset_id":23303507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765682/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303507; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303506"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303506/SU_GG_J_03_3D_Pathology_Validation_for_Head_And_Neck_Tumor_Segmentation_in_PET_CT_MRI_Images"><img alt="Research paper thumbnail of SU-GG-J-03: 3D Pathology Validation for Head-And-Neck Tumor Segmentation in PET/CT/MRI Images" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303506/SU_GG_J_03_3D_Pathology_Validation_for_Head_And_Neck_Tumor_Segmentation_in_PET_CT_MRI_Images">SU-GG-J-03: 3D Pathology Validation for Head-And-Neck Tumor Segmentation in PET/CT/MRI Images</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303506"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303506; 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</script> <div class="js-work-strip profile--work_container" data-work-id="23303504"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303504/TH_D_213A_04_Application_of_Supervised_Spectral_Clustering_for_PET_Tumor_Delineation_A_Phantom_Study"><img alt="Research paper thumbnail of TH-D-213A-04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303504/TH_D_213A_04_Application_of_Supervised_Spectral_Clustering_for_PET_Tumor_Delineation_A_Phantom_Study">TH-D-213A-04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303504"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303504"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303504; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303504]").text(description); $(".js-view-count[data-work-id=23303504]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303504; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303504']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=23303504]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303504,"title":"TH-D-213A-04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study","internal_url":"https://www.academia.edu/23303504/TH_D_213A_04_Application_of_Supervised_Spectral_Clustering_for_PET_Tumor_Delineation_A_Phantom_Study","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303503"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303503/TH_D_213A_02_An_Improved_Iterative_Thresholding_Approach_for_3D_PET_Tumor_Delineation_Phantom_Study"><img alt="Research paper thumbnail of TH-D-213A-02: An Improved Iterative Thresholding Approach for 3D PET Tumor Delineation: Phantom Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303503/TH_D_213A_02_An_Improved_Iterative_Thresholding_Approach_for_3D_PET_Tumor_Delineation_Phantom_Study">TH-D-213A-02: An Improved Iterative Thresholding Approach for 3D PET Tumor Delineation: Phantom Study</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303503"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303503"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303503; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303503]").text(description); $(".js-view-count[data-work-id=23303503]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303503; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303503']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=23303503]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303503,"title":"TH-D-213A-02: An Improved Iterative Thresholding Approach for 3D PET Tumor Delineation: Phantom Study","internal_url":"https://www.academia.edu/23303503/TH_D_213A_02_An_Improved_Iterative_Thresholding_Approach_for_3D_PET_Tumor_Delineation_Phantom_Study","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303502"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303502/Application_of_the_continuity_equation_to_a_breathing_motion_model"><img alt="Research paper thumbnail of Application of the continuity equation to a breathing motion model" class="work-thumbnail" src="https://attachments.academia-assets.com/43765671/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303502/Application_of_the_continuity_equation_to_a_breathing_motion_model">Application of the continuity equation to a breathing motion model</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose: To quantitatively test a breathing motion model using the continuity equation and clinic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose: To quantitatively test a breathing motion model using the continuity equation and clinical data. Methods: The continuity equation was applied to a lung tissue and lung tumor free breathing motion model to quantitatively test the model performance. The model used tidal volume and airflow as the independent variables and the ratio of motion to tidal volume and motion to airflow were defined as ␣ ជ and ␤ ជ vector fields, respectively. The continuity equation resulted in a prediction that the volume integral of the divergence of the ␣ ជ vector field was 1.11 for all patients. The integral of the divergence of the ␤ ជ vector field was expected to be zero. Results: For 35 patients, the ␣ ជ vector field prediction was 1.06Ϯ 0.14, encompassing the expected value. For the ␤ ជ vector field prediction, the average value was 0.02Ϯ 0.03. Conclusions: These results provide quantitative evidence that the breathing motion model yields accurate predictions of breathing dynamics.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c78e0a51b01bae007714759d885b9068" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765671,"asset_id":23303502,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765671/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303502"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303502"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303502; 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Image mismatching could present as superior-inferior coverage differences, field-of-view (FOV) cutoffs, or motion crossing the image boundaries. In this study, the authors propose a method to improve the existing DIR algorithms so that DIR can be carried out in such situations. The basic idea is to extend the image volumes and define the extension voxels (outside the FOV or outside the original image volume) as NaN (not-a-number) values that are transparent to all floating-point computations in the DIR algorithms. Registrations are then carried out with one additional rule that NaN voxels can match any voxels. In this way, the matched sections of the images are registered properly, and the mismatched sections of the images are registered to NaN voxels. This method makes it possible to perform DIR on partially matched images that otherwise are difficult to register. 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The strain distribution of three different shaped quantum dots (QDs) with a same ratio of the base to the vertical aspect is calculated by using the short-range valence-force-field (VFF) approach. The calculated results show that the hydrostatic strain e H varies little with change of the shape, while the biaxial strain e B changes a lot for different shapes of QDs. The recursion method is used to calculate the energy levels of the bound states in QDs. Compared with the strain, the shape plays a key role in the difference of electronic bound energy levels. The numerical results show that the deference of bound energy levels of lenslike InAs QD matches well with the experimental results. Moreover, the pyramidshaped QD has the greatest difference from the measured experimental data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="393b979e45307c03f1aafbe8752bea6f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765686,"asset_id":23303518,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765686/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303518"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303518"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303518; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303518]").text(description); $(".js-view-count[data-work-id=23303518]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303518; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303518']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303517"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303517/Copper_sulfide_nanoparticles_for_photothermal_ablation_of_tumor_cells"><img alt="Research paper thumbnail of Copper sulfide nanoparticles for photothermal ablation of tumor cells" class="work-thumbnail" src="https://attachments.academia-assets.com/43765689/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303517/Copper_sulfide_nanoparticles_for_photothermal_ablation_of_tumor_cells">Copper sulfide nanoparticles for photothermal ablation of tumor cells</a></div><div class="wp-workCard_item"><span>Nanomedicine</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Copper sulfide (CuS) nanoparticles were developed as a new type of agent for photothermal ablatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Copper sulfide (CuS) nanoparticles were developed as a new type of agent for photothermal ablation of cancer cells. Materials & methods: CuS nanoparticles were synthesized by wet chemistry and their application in photothermal ablation of tumor cells was tested by irradiation using a near-infrared (NIR) laser beam at 808 nm to elevate the temperature of aqueous solutions of CuS nanoparticles as a function of exposure time and nanoparticle concentration. CuS nanoparticle-mediated photothermal destruction was evaluated using human cervical cancer HeLa cells with respect to laser dose and nanoparticle concentration. Their toxicity was evaluated by the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay. Results: CuS nanoparticles have an optical absorption band in the NIR range with a maximum absorbance at 900 nm. Irradiation by a NIR laser beam at 808 nm resulted in an increase in the temperature of the CuS nanoparticle aqueous solution as a function of exposure time and nanoparticle concentration. CuS nanoparticle-induced photothermal destruction of HeLa cells occured in a laser dose-and nanoparticle concentration-dependent manner, and displayed minimal cytotoxic effects with a profile similar to that of gold nanoparticles. Conclusion: Owing to their unique optical property, small size, low cost of production and low cytotoxicity, CuS nanoparticles are promising new nanomaterials for cancer photothermal ablation therapy.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fb1b2235c5ecb769aede6c9f8200fac9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765689,"asset_id":23303517,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765689/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303517"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303517"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303517; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303516"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303516/Preparation_of_carbon_coated_iron_oxide_nanoparticles_dispersed_on_graphene_sheets_and_applications_as_advanced_anode_materials_for_lithium_ion_batteries"><img alt="Research paper thumbnail of Preparation of carbon-coated iron oxide nanoparticles dispersed on graphene sheets and applications as advanced anode materials for lithium-ion batteries" class="work-thumbnail" src="https://attachments.academia-assets.com/43765681/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303516/Preparation_of_carbon_coated_iron_oxide_nanoparticles_dispersed_on_graphene_sheets_and_applications_as_advanced_anode_materials_for_lithium_ion_batteries">Preparation of carbon-coated iron oxide nanoparticles dispersed on graphene sheets and applications as advanced anode materials for lithium-ion batteries</a></div><div class="wp-workCard_item"><span>Nano Research</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report a novel chemical vapor deposition (CVD) based strategy to synthesize carbon-coated Fe 2...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report a novel chemical vapor deposition (CVD) based strategy to synthesize carbon-coated Fe 2 O 3 nanoparticles dispersed on graphene sheets (Fe 2 O 3 @C@G). Graphene sheets with high surface area and aspect ratio are chosen as space restrictor to prevent the sintering and aggregation of nanoparticles during high temperature treatments (800 °C ). In the resulting nanocomposite, each individual Fe 2 O 3 nanoparticle (5 to 20 nm in diameter) is uniformly coated with a continuous and thin (two to five layers) graphitic carbon shell. Further, the core-shell nanoparticles are evenly distributed on graphene sheets. When used as anode materials for lithium ion batteries, the conductive-additive-free Fe 2 O 3 @C@G electrode shows outstanding Li + storage properties with large reversible specific capacity (864 mAh/g after 100 cycles), excellent cyclic stability (120% retention after 100 cycles at 100 mA/g), high Coulombic efficiency (~99%), and good rate capability.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="127e86eefa83bba2f89151c3a5d0cd08" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765681,"asset_id":23303516,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765681/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303516"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303516"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303516; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303515"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303515/Coherent_Single_Charge_Transport_in_Molecular_Scale_Silicon_Nanowires"><img alt="Research paper thumbnail of Coherent Single Charge Transport in Molecular-Scale Silicon Nanowires" class="work-thumbnail" src="https://attachments.academia-assets.com/43765683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303515/Coherent_Single_Charge_Transport_in_Molecular_Scale_Silicon_Nanowires">Coherent Single Charge Transport in Molecular-Scale Silicon Nanowires</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report low-temperature electrical transport studies of molecule-scale silicon nanowires. Indiv...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report low-temperature electrical transport studies of molecule-scale silicon nanowires. Individual nanowires exhibit well-defined Coulomb blockade oscillations characteristic of charge addition to a single structure with length scales of at least 400 nm. Further studies demonstrate coherent charge transport through discrete single particle levels extending the whole devices, and show that the ground state spin follows the Lieb-Mattis theorem. In addition, depletion of the nanowires suggests that phase coherent single-dot characteristics are accessible in a regime where correlations are strong. PACS numbers: 73.63.Nm, 73.23.Hk, Studies of carbon nanotubes [1] and semiconductor nanowires [2] have demonstrated their potential as building blocks for nanoscale electronics. An advantage of these building blocks versus nanostructures fabricated by 'top-down' processing is that, critical nanoscale features are defined during synthesis, which can yield uniform structures at the atomic scale. Indeed, isolated carbon nanotube transistors have shown exceptional properties [3], although difficulties in preparing pure semiconductor nanotubes make large scale integration challenging. Silicon nanowires (SiNWs) could overcome issues faced by nanotubes since current growth methods enable reproducible control over both size and electronic properties of the nanowires . Recent studies have begun to elucidate fundamental transport properties of chemically-synthesized semiconducting nanowires , which are required to move beyond initial roomtemperature devices assembled with SiNWs [5, 8]; however, similar fundamental studies of SiNWs have not been reported. In this Letter we address this critical issue through low-temperature electrical transport measurements on molecular-scale SiNWs configured as singleelectron transistors (SETs).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07b2b6df1b76c7b5fc44005fbac9f1a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765683,"asset_id":23303515,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303515"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303515"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303515; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303514"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303514/Strong_and_Tunable_Spin_Orbit_Coupling_of_One_Dimensional_Holes_in_Ge_Si_Core_Shell_Nanowires"><img alt="Research paper thumbnail of Strong and Tunable Spin−Orbit Coupling of One-Dimensional Holes in Ge/Si Core/Shell Nanowires" class="work-thumbnail" src="https://attachments.academia-assets.com/43765679/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303514/Strong_and_Tunable_Spin_Orbit_Coupling_of_One_Dimensional_Holes_in_Ge_Si_Core_Shell_Nanowires">Strong and Tunable Spin−Orbit Coupling of One-Dimensional Holes in Ge/Si Core/Shell Nanowires</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigate the low-temperature magneto-transport properties of individual Ge/Si core/shell na...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigate the low-temperature magneto-transport properties of individual Ge/Si core/shell nanowires. Negative magneto-conductance was observed, which is a signature of one-dimensional weak antilocalization of holes in the presence of strong spin-orbit coupling. The temperature and back gate dependences of phase coherence length, spin-orbit relaxation time, and background conductance were studied. Specifically, we show the spin-orbit coupling strength can be modulated by more than five folds with an external electric field. These results suggest the Ge/Si nanowire system possesses strong and tunable spin-orbit interactions and may serve as a candidate for spintronics applications.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e35e460e21c8575a91ef25cbf6a3605a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765679,"asset_id":23303514,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765679/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303514"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303514"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303514; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303513"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303513/Si_a_Si_Core_Shell_Nanowires_as_Nonvolatile_Crossbar_Switches"><img alt="Research paper thumbnail of Si/a-Si Core/Shell Nanowires as Nonvolatile Crossbar Switches" class="work-thumbnail" src="https://attachments.academia-assets.com/43765684/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303513/Si_a_Si_Core_Shell_Nanowires_as_Nonvolatile_Crossbar_Switches">Si/a-Si Core/Shell Nanowires as Nonvolatile Crossbar Switches</a></div><div class="wp-workCard_item"><span>Nano Letters</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Radial core/shell nanowires (NWs) represent an important class of nanoscale building blocks with ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Radial core/shell nanowires (NWs) represent an important class of nanoscale building blocks with substantial potential for exploring fundamental electronic properties and realizing novel device applications at the nanoscale. Here, we report the synthesis of crystalline silicon/amorphous silicon (Si/a-Si) core/shell NWs and studies of crossed Si/a-Si NW metal NW (Si/a-Si × M) devices and arrays. Room-temperature electrical measurements on single Si/a-Si × Ag NW devices exhibit bistable switching between high (off) and low (on) resistance states with well-defined switching threshold voltages, on/off ratios greater than 10 4 , and current rectification in the on state.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ddeaf9a37f2248127e5b01d04fc62c50" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765684,"asset_id":23303513,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765684/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303513"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303513"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303513; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303512"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303512/Biodistribution_Pharmacokinetics_and_Nuclear_Imaging_Studies_of_111In_labeled_rGel_BLyS_Fusion_Toxin_in_SCID_Mice_Bearing_B_Cell_Lymphoma"><img alt="Research paper thumbnail of Biodistribution, Pharmacokinetics, and Nuclear Imaging Studies of 111In-labeled rGel/BLyS Fusion Toxin in SCID Mice Bearing B Cell Lymphoma" class="work-thumbnail" src="https://attachments.academia-assets.com/43765685/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303512/Biodistribution_Pharmacokinetics_and_Nuclear_Imaging_Studies_of_111In_labeled_rGel_BLyS_Fusion_Toxin_in_SCID_Mice_Bearing_B_Cell_Lymphoma">Biodistribution, Pharmacokinetics, and Nuclear Imaging Studies of 111In-labeled rGel/BLyS Fusion Toxin in SCID Mice Bearing B Cell Lymphoma</a></div><div class="wp-workCard_item"><span>Molecular Imaging and Biology</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose: We examined the biodistribution and pharmacokinetics of 111 In-labeled rGel/BLyS, a gelo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose: We examined the biodistribution and pharmacokinetics of 111 In-labeled rGel/BLyS, a gelonin toxin (rGel)-B lymphocyte stimulator (BLyS) fusion protein.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6f83270868ed932fb2660a997fa67dbe" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765685,"asset_id":23303512,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765685/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303512"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303512"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303512; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6f83270868ed932fb2660a997fa67dbe" } } $('.js-work-strip[data-work-id=23303512]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303512,"title":"Biodistribution, Pharmacokinetics, and Nuclear Imaging Studies of 111In-labeled rGel/BLyS Fusion Toxin in SCID Mice Bearing B Cell Lymphoma","internal_url":"https://www.academia.edu/23303512/Biodistribution_Pharmacokinetics_and_Nuclear_Imaging_Studies_of_111In_labeled_rGel_BLyS_Fusion_Toxin_in_SCID_Mice_Bearing_B_Cell_Lymphoma","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[{"id":43765685,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43765685/thumbnails/1.jpg","file_name":"s11307-010-0391-0.pdf20160315-3163-1jmbh4b","download_url":"https://www.academia.edu/attachments/43765685/download_file","bulk_download_file_name":"Biodistribution_Pharmacokinetics_and_Nuc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43765685/s11307-010-0391-0-libre.pdf20160315-3163-1jmbh4b?1458098285=\u0026response-content-disposition=attachment%3B+filename%3DBiodistribution_Pharmacokinetics_and_Nuc.pdf\u0026Expires=1740005419\u0026Signature=JGUETpW4ApXz1o3UjeB98RV891fzu2Ss-hQ2FEYyWVLi1Bp5frzzzov3ZoRrvzS~Uuc4PmLhCmTFxvot8LEDDxB7CG830Yyc84fQSNNnH5e38ic7vj8NIlRYYhHt9J8SF0qOHIQag66Lec9t6H0~EDQ~8dnCfFKlR~f8nkP~W9-4LHFqeyCxZIrJFhAJRHoVYY0g9~HumeKyiF1O6AMBk64pqvxIaYXJbg2DTE~LRRYdGfJfLybG-jfoIoCsv~qRwBKXXl~mszQwgRYJ4tT1XcO1~vt0P2bPWLuFISQ8pN4-NR5za6WSHaRcCc9pvRagk5zs54pRs9PvC1f9cV4c6g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303511"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303511/A_known_functional_polymorphism_Ile120Val_of_the_human_PCMT1_gene_and_risk_of_spina_bifida"><img alt="Research paper thumbnail of A known functional polymorphism (Ile120Val) of the human PCMT1 gene and risk of spina bifida" class="work-thumbnail" src="https://attachments.academia-assets.com/43765687/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303511/A_known_functional_polymorphism_Ile120Val_of_the_human_PCMT1_gene_and_risk_of_spina_bifida">A known functional polymorphism (Ile120Val) of the human PCMT1 gene and risk of spina bifida</a></div><div class="wp-workCard_item"><span>Molecular Genetics and Metabolism</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Folate binding protein 1 (Folr1) knockout mice with low maternal folate concentrations have been ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Folate binding protein 1 (Folr1) knockout mice with low maternal folate concentrations have been shown to be excellent animal models for human folate-responsive neural tube defects (NTDs). Previous studies using the Folr1 knockout mice revealed that maternal folate supplementation upregulates the expression of the PCMT1 gene in Folr1 nullizygous neural tube tissue during neural tube closure. PCMT1 encodes the protein repair enzyme L-isoaspartate (D-aspartate) Omethyltransferase (PIMT) that converts abnormal D-aspartyl and L-isoaspartyl residues to the normal L-aspartyl form. PIMT is known to protect certain neural cells from Bax-induced apoptosis. Pcmt1deficient mice present with abnormal AdoMet/AdoHcy homeostasis. We hypothesized that a known functional polymorphism (Ile120Val) in the human PCMT1 gene is associated with an increased risk of folate-responsive human NTDs. A case-control study was conducted to investigate a possible association between this polymorphism and risk of spina bifida. Compared to the Ile/Ile and Ile/Val genotypes, the homozygous Val/Val genotype showed decreased risk for spina bifida (adjusted odds ratio = 0.6, 95% confidence interval: 0.4-0.9). Our results showed that the Ile120Val polymorphism of PCMT1 gene is a genetic modifier for the risk of spina bifida. Val/Val genotype was associated with a reduction in risk for spina bifida.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a74493e6f6758599c559b9ac76c6fbb6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765687,"asset_id":23303511,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765687/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303511"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303511"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303511; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303510"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303510/Genome_wide_transcriptome_and_proteome_analysis_of_Escherichia_coli_expressing_IrrE_a_global_regulator_of_Deinococcus_radiodurans"><img alt="Research paper thumbnail of Genome-wide transcriptome and proteome analysis of Escherichia coli expressing IrrE, a global regulator of Deinococcus radiodurans" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303510/Genome_wide_transcriptome_and_proteome_analysis_of_Escherichia_coli_expressing_IrrE_a_global_regulator_of_Deinococcus_radiodurans">Genome-wide transcriptome and proteome analysis of Escherichia coli expressing IrrE, a global regulator of Deinococcus radiodurans</a></div><div class="wp-workCard_item"><span>Molecular BioSystems</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gram-negative bacterium Escherichia coli and the Gram-positive Deinococcus radiodurans fundamenta...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gram-negative bacterium Escherichia coli and the Gram-positive Deinococcus radiodurans fundamentally differ in their cell structures and gene regulations. We have previously reported that IrrE, a Deinococcus genus-specific global regulator, confers significantly enhanced tolerance to various abiotic stresses. To better understand the global effects of IrrE on the regulatory networks, we carried out combined transcriptome and proteome analysis of E. coli expressing the IrrE protein. Our analysis showed that 216 (4.8%) of all E. coli genes were induced and 149 (3.3%) genes were repressed, including those for trehalose biosynthesis, nucleotides biosynthesis, carbon source utilization, amino acid utilization, acid resistance, a hydrogenase and an oxidase. Also regulated were the EvgSA two-component system, the GadE, GadX and PurR master regulators, and 10 transcription factors (AppY, GadW, YhiF, AsnC, BetI, CynR, MhpR, PrpR, TdcA and KdgR). These results demonstrated that IrrE acts as global regulator and consequently improves abiotic stress tolerances in the heterologous host E. coli. The implication of our findings is discussed in relation to the evolutionary role of horizontal gene transfer in bacterial regulatory networks and environmental adaptation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303510"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303510"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303510; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="23303509"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303509/Down_regulation_of_specific_gene_expression_by_double_strand_RNA_induces_neural_stem_cell_differentiation_in_vitro"><img alt="Research paper thumbnail of Down-regulation of specific gene expression by double-strand RNA induces neural stem cell differentiation in vitro" class="work-thumbnail" src="https://attachments.academia-assets.com/43765677/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303509/Down_regulation_of_specific_gene_expression_by_double_strand_RNA_induces_neural_stem_cell_differentiation_in_vitro">Down-regulation of specific gene expression by double-strand RNA induces neural stem cell differentiation in vitro</a></div><div class="wp-workCard_item"><span>Molecular and Cellular Biochemistry</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the postgenomic era the elucidation of the physiological function of genes has become the rate...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the postgenomic era the elucidation of the physiological function of genes has become the rate-limiting step in the quest to understand the development and function of living organisms. Double-stranded RNA (dsRNA) interferes with gene expression in various species, a phenomenon known as RNA interference (RNAi). We show here that RNAi is also effective in modifying gene expression in neural stem cell differentiation. The progenitor cells were obtained from E14 mouse embryonic forebrain and maintained using N-2 medium containing basic fibroblast growth factor (bFGF), epidermal growth factor (EGF) and B27.A gene (NM017084.1) was previously discovered and validated to express obviously differently between differentiated and undifferentiated neural stem cells in our laboratory. Here we report a long double-stranded RNA to knock out or knock down this gene. The results demonstrated that following RNAi inhibition of expression of the NM017084.1 gene, the differentiation of neural stem cells is accelerated. Thus the NM017084.1 gene may play a pivotal role in the process of differentiation of neural stem cells. (Mol Cell Biochem 275: 215-221, 2005)</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e84228dd3dc3fbcc89fb92884846ab9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765677,"asset_id":23303509,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765677/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303509"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303509"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303509; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303508"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303508/Surface_plasmon_polariton_coupling_induced_transmission_of_subwavelength_metallic_grating_with_waveguide_layer"><img alt="Research paper thumbnail of Surface plasmon polariton coupling induced transmission of subwavelength metallic grating with waveguide layer" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303508/Surface_plasmon_polariton_coupling_induced_transmission_of_subwavelength_metallic_grating_with_waveguide_layer">Surface plasmon polariton coupling induced transmission of subwavelength metallic grating with waveguide layer</a></div><div class="wp-workCard_item"><span>Microelectronic Engineering</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT In this paper, we present the nanofabrication of a potentially coupled waveguide–surface...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT In this paper, we present the nanofabrication of a potentially coupled waveguide–surface plasmon resonance biosensor (CWSPRBs) by nanoimprint lithography. Subwavelength metallic gratings (SWMGs) with the pitches of 300 and 500nm were fabricated by direct imprinting on PMMA layer which subsequently covered with a layer of Au. The key issue in this device is the coupling of surface plasmon with waveguide modes, which has been carefully investigated by measuring the coupling induced enhancement of light transmission. Both our measurement and simulation results indicate that the resonant coupling does exist for both 300 and 500nm pitched gratings. This proves that the developed nanoimprint lithography is applicable for the CWSPRBs sensors which has significant advantages over traditional ones with a prism.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303508]").text(description); $(".js-view-count[data-work-id=23303508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=23303508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303508,"title":"Surface plasmon polariton coupling induced transmission of subwavelength metallic grating with waveguide layer","internal_url":"https://www.academia.edu/23303508/Surface_plasmon_polariton_coupling_induced_transmission_of_subwavelength_metallic_grating_with_waveguide_layer","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303507/4D_CT_motion_estimation_using_deformable_image_registration_and_5D_respiratory_motion_modeling"><img alt="Research paper thumbnail of 4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling" class="work-thumbnail" src="https://attachments.academia-assets.com/43765682/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303507/4D_CT_motion_estimation_using_deformable_image_registration_and_5D_respiratory_motion_modeling">4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Four-dimensional computed tomography ͑4D-CT͒ imaging technology has been developed for radiation ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Four-dimensional computed tomography ͑4D-CT͒ imaging technology has been developed for radiation therapy to provide tumor and organ images at the different breathing phases. In this work, a procedure is proposed for estimating and modeling the respiratory motion field from acquired 4D-CT imaging data and predicting tissue motion at the different breathing phases. The 4D-CT image data consist of series of multislice CT volume segments acquired in ciné mode. A modified optical flow deformable image registration algorithm is used to compute the image motion from the CT segments to a common full volume 3D-CT reference. This reference volume is reconstructed using the acquired 4D-CT data at the end-of-exhalation phase. The segments are optimally aligned to the reference volume according to a proposed a priori alignment procedure. The registration is applied using a multigrid approach and a feature-preserving image downsampling maxfilter to achieve better computational speed and higher registration accuracy. The registration accuracy is about 1.1Ϯ 0.8 mm for the lung region according to our verification using manually selected landmarks and artificially deformed CT volumes. The estimated motion fields are fitted to two 5D ͑spatial 3D + tidal volume+ airflow rate͒ motion models: forward model and inverse model. The forward model predicts tissue movements and the inverse model predicts CT density changes as a function of tidal volume and airflow rate. A leave-one-out procedure is used to validate these motion models. The estimated modeling prediction errors are about 0.3 mm for the forward model and 0.4 mm for the inverse model.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="70a6f36faf1ebe11f7885f5a631e720b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765682,"asset_id":23303507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765682/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303507; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303506"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303506/SU_GG_J_03_3D_Pathology_Validation_for_Head_And_Neck_Tumor_Segmentation_in_PET_CT_MRI_Images"><img alt="Research paper thumbnail of SU-GG-J-03: 3D Pathology Validation for Head-And-Neck Tumor Segmentation in PET/CT/MRI Images" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303506/SU_GG_J_03_3D_Pathology_Validation_for_Head_And_Neck_Tumor_Segmentation_in_PET_CT_MRI_Images">SU-GG-J-03: 3D Pathology Validation for Head-And-Neck Tumor Segmentation in PET/CT/MRI Images</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303506"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303506]").text(description); $(".js-view-count[data-work-id=23303506]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303506']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303505]").text(description); $(".js-view-count[data-work-id=23303505]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303505; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303505']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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</script> <div class="js-work-strip profile--work_container" data-work-id="23303504"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303504/TH_D_213A_04_Application_of_Supervised_Spectral_Clustering_for_PET_Tumor_Delineation_A_Phantom_Study"><img alt="Research paper thumbnail of TH-D-213A-04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303504/TH_D_213A_04_Application_of_Supervised_Spectral_Clustering_for_PET_Tumor_Delineation_A_Phantom_Study">TH-D-213A-04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303504"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303504"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303504; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303504]").text(description); $(".js-view-count[data-work-id=23303504]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303504; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303504']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=23303504]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303504,"title":"TH-D-213A-04: Application of Supervised Spectral Clustering for PET Tumor Delineation: A Phantom Study","internal_url":"https://www.academia.edu/23303504/TH_D_213A_04_Application_of_Supervised_Spectral_Clustering_for_PET_Tumor_Delineation_A_Phantom_Study","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303503"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303503/TH_D_213A_02_An_Improved_Iterative_Thresholding_Approach_for_3D_PET_Tumor_Delineation_Phantom_Study"><img alt="Research paper thumbnail of TH-D-213A-02: An Improved Iterative Thresholding Approach for 3D PET Tumor Delineation: Phantom Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303503/TH_D_213A_02_An_Improved_Iterative_Thresholding_Approach_for_3D_PET_Tumor_Delineation_Phantom_Study">TH-D-213A-02: An Improved Iterative Thresholding Approach for 3D PET Tumor Delineation: Phantom Study</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303503"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303503"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303503; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303503]").text(description); $(".js-view-count[data-work-id=23303503]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303503; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303503']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=23303503]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303503,"title":"TH-D-213A-02: An Improved Iterative Thresholding Approach for 3D PET Tumor Delineation: Phantom Study","internal_url":"https://www.academia.edu/23303503/TH_D_213A_02_An_Improved_Iterative_Thresholding_Approach_for_3D_PET_Tumor_Delineation_Phantom_Study","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303502"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23303502/Application_of_the_continuity_equation_to_a_breathing_motion_model"><img alt="Research paper thumbnail of Application of the continuity equation to a breathing motion model" class="work-thumbnail" src="https://attachments.academia-assets.com/43765671/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/23303502/Application_of_the_continuity_equation_to_a_breathing_motion_model">Application of the continuity equation to a breathing motion model</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose: To quantitatively test a breathing motion model using the continuity equation and clinic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose: To quantitatively test a breathing motion model using the continuity equation and clinical data. Methods: The continuity equation was applied to a lung tissue and lung tumor free breathing motion model to quantitatively test the model performance. The model used tidal volume and airflow as the independent variables and the ratio of motion to tidal volume and motion to airflow were defined as ␣ ជ and ␤ ជ vector fields, respectively. The continuity equation resulted in a prediction that the volume integral of the divergence of the ␣ ជ vector field was 1.11 for all patients. The integral of the divergence of the ␤ ជ vector field was expected to be zero. Results: For 35 patients, the ␣ ជ vector field prediction was 1.06Ϯ 0.14, encompassing the expected value. For the ␤ ជ vector field prediction, the average value was 0.02Ϯ 0.03. Conclusions: These results provide quantitative evidence that the breathing motion model yields accurate predictions of breathing dynamics.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c78e0a51b01bae007714759d885b9068" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43765671,"asset_id":23303502,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43765671/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="23303502"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23303502"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23303502; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23303502]").text(description); $(".js-view-count[data-work-id=23303502]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23303502; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23303502']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c78e0a51b01bae007714759d885b9068" } } $('.js-work-strip[data-work-id=23303502]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23303502,"title":"Application of the continuity equation to a breathing motion model","internal_url":"https://www.academia.edu/23303502/Application_of_the_continuity_equation_to_a_breathing_motion_model","owner_id":45199469,"coauthors_can_edit":true,"owner":{"id":45199469,"first_name":"Wei","middle_initials":null,"last_name":"Lu","page_name":"WeiLu36","domain_name":"independent","created_at":"2016-03-15T19:50:14.681-07:00","display_name":"Wei Lu","url":"https://independent.academia.edu/WeiLu36"},"attachments":[{"id":43765671,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/43765671/thumbnails/1.jpg","file_name":"Application_of_the_continuity_equation_t20160315-356-jt8s4g.pdf","download_url":"https://www.academia.edu/attachments/43765671/download_file","bulk_download_file_name":"Application_of_the_continuity_equation_t.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/43765671/Application_of_the_continuity_equation_t20160315-356-jt8s4g-libre.pdf?1458098286=\u0026response-content-disposition=attachment%3B+filename%3DApplication_of_the_continuity_equation_t.pdf\u0026Expires=1740005419\u0026Signature=PxJ17Lm8YMYA0Zeie00Qh5t6b25jT3RE70GoF099vivUEqLyz8iK6K-dD77GqpF9ID8oZuuNlTstiO2JlKbv3isbLHSrdjLKNTu6c1v~jvgtujOmf~YF7pxPJJbZ80UcBKvGAWcfPJlMkD2dtyWxJjasdeTnvjZubhhOqeSFyJBISP-Nc~fCf05zj9JCvcJ7grI18hPMOYYCysqxIeW5dYVBNdiSTVcgdDFgosj0QCVvgQbIexm7Adm2TMnJAqZ2j7MoRC2hfOBb3iznOab3dW8Hk-JGaRzcvhrZJSkZrROTpTmTt6-PCLUO1QKVeOtElJUJCpTSXlDDnsALHbB4GQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23303501"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/23303501/Technical_Note_Deformable_image_registration_on_partially_matched_images_for_radiotherapy_applications"><img alt="Research paper thumbnail of Technical Note: Deformable image registration on partially matched images for radiotherapy applications" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/23303501/Technical_Note_Deformable_image_registration_on_partially_matched_images_for_radiotherapy_applications">Technical Note: Deformable image registration on partially matched images for radiotherapy applications</a></div><div class="wp-workCard_item"><span>Medical Physics</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In radiation therapy applications, deformable image registrations (DIRs) are often carried out be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In radiation therapy applications, deformable image registrations (DIRs) are often carried out between two images that only partially match. Image mismatching could present as superior-inferior coverage differences, field-of-view (FOV) cutoffs, or motion crossing the image boundaries. In this study, the authors propose a method to improve the existing DIR algorithms so that DIR can be carried out in such situations. The basic idea is to extend the image volumes and define the extension voxels (outside the FOV or outside the original image volume) as NaN (not-a-number) values that are transparent to all floating-point computations in the DIR algorithms. Registrations are then carried out with one additional rule that NaN voxels can match any voxels. In this way, the matched sections of the images are registered properly, and the mismatched sections of the images are registered to NaN voxels. This method makes it possible to perform DIR on partially matched images that otherwise are difficult to register. 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