Search results for: Xie Jinpeng

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Jinpeng</title> <meta name="description" content="Search results for: Xie Jinpeng"> <meta name="keywords" content="Xie Jinpeng"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Xie Jinpeng"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Xie Jinpeng</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> The Twin Terminal of Pedestrian Trajectory Based on City Intelligent Model (CIM) 4.0</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen%20Xi">Chen Xi</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Xuebing"> Liu Xuebing</a>, <a href="https://publications.waset.org/abstracts/search?q=Lao%20Xueru"> Lao Xueru</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuan%20Sinman"> Kuan Sinman</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiang%20Yike"> Jiang Yike</a>, <a href="https://publications.waset.org/abstracts/search?q=Wang%20Hanwei"> Wang Hanwei</a>, <a href="https://publications.waset.org/abstracts/search?q=Yang%20Xiaolang"> Yang Xiaolang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhou%20Junjie"> Zhou Junjie</a>, <a href="https://publications.waset.org/abstracts/search?q=Xie%20Jinpeng"> Xie Jinpeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To further promote the development of smart cities, the microscopic "nerve endings" of the City Intelligent Model (CIM) are extended to be more sensitive. In this paper, we develop a pedestrian trajectory twin terminal based on the CIM and CNN technology. It also uses 5G networks, architectural and geoinformatics technologies, convolutional neural networks, combined with deep learning networks for human behavior recognition models, to provide empirical data such as 'pedestrian flow data and human behavioral characteristics data', and ultimately form spatial performance evaluation criteria and spatial performance warning systems, to make the empirical data accurate and intelligent for prediction and decision making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title="urban planning">urban planning</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20governance" title=" urban governance"> urban governance</a>, <a href="https://publications.waset.org/abstracts/search?q=CIM" title=" CIM"> CIM</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a> </p> <a href="https://publications.waset.org/abstracts/168296/the-twin-terminal-of-pedestrian-trajectory-based-on-city-intelligent-model-cim-40" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168296.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> A Platform for Managing Residents' Carbon Trajectories Based on the City Intelligent Model (CIM) 4.0</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen%20Xi">Chen Xi</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Xuebing"> Liu Xuebing</a>, <a href="https://publications.waset.org/abstracts/search?q=Lao%20Xuerui"> Lao Xuerui</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuan%20Sinman"> Kuan Sinman</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiang%20Yike"> Jiang Yike</a>, <a href="https://publications.waset.org/abstracts/search?q=Wang%20Hanwei"> Wang Hanwei</a>, <a href="https://publications.waset.org/abstracts/search?q=Yang%20Xiaolang"> Yang Xiaolang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhou%20Junjie"> Zhou Junjie</a>, <a href="https://publications.waset.org/abstracts/search?q=Xie%20Jinpeng"> Xie Jinpeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change is a global problem facing humanity and this is now the consensus of the mainstream scientific community. In accordance with the carbon peak and carbon neutral targets and visions set out in the United Nations Framework Convention on Climate Change, the Kyoto Protocol and the Paris Agreement, this project uses the City Intelligent Model (CIM) and Artificial Intelligence Machine Vision (ICR) as the core technologies to accurately quantify low carbon behaviour into green corn, which is a means of guiding ecologically sustainable living patterns. Using individual communities as management units and blockchain as a guarantee of fairness in the whole cycle of green currency circulation, the project will form a modern resident carbon track management system based on the principle of enhancing the ecological resilience of communities and the cohesiveness of community residents, ultimately forming an ecologically sustainable smart village that can be self-organised and managed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title="urban planning">urban planning</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20governance" title=" urban governance"> urban governance</a>, <a href="https://publications.waset.org/abstracts/search?q=CIM" title=" CIM"> CIM</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20Intelligence" title=" artificial Intelligence"> artificial Intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a> </p> <a href="https://publications.waset.org/abstracts/168284/a-platform-for-managing-residents-carbon-trajectories-based-on-the-city-intelligent-model-cim-40" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168284.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Malachite Ore Treatment with Typical Ammonium Salts and Its Mechanism to Promote the Flotation Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayman%20M.%20Ibrahim">Ayman M. Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jinpeng%20Cai"> Jinpeng Cai</a>, <a href="https://publications.waset.org/abstracts/search?q=Peilun%20Shen"> Peilun Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=Dianwen%20Liu"> Dianwen Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The difference in promoting sulfurization between different ammonium salts and its anion's effect on the sulfurization of the malachite surface was systematically studied. Therefore, this study takes malachite, a typical copper oxide mineral, as the research object, field emission scanning electron microscopy and energy-dispersive X-ray analysis (FESEM鈥扙DS), X-ray photoelectron spectroscopy (XPS), and other analytical and testing methods, as well as pure mineral flotation experiments, were carried out to examine the superiority of the ammonium salts as the sulfurizing reagent of malachite at the microscopic level. Additionally, the promoting effects of ammonium sulfate and ammonium phosphate on the malachite sulfurization of xanthate-flotation were compared systematically from the microstructure of sulfurized products, elemental composition, chemical state of characteristic elements, and hydrophobicity surface evolution. The FESEM and AFM results presented that after being pre-treated with ammonium salts, the adhesion of sulfurized products formed on the mineral surface was denser; thus, the flake radial dimension product was significantly greater. For malachite sulfurization flotation, the impact of ammonium phosphate in promoting sulfurization is weaker than ammonium sulfate. The reason may be that hydrolyzing phosphate consumes a substantial quantity of H+ in the solution, which hastens the formation of the copper-sulfur products, decreasing the adhesion stability of copper-sulfur species on the malachite surface. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sulfurization%20flotation" title="sulfurization flotation">sulfurization flotation</a>, <a href="https://publications.waset.org/abstracts/search?q=adsorption%20characteristics" title=" adsorption characteristics"> adsorption characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=malachite" title=" malachite"> malachite</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrophobicity" title=" hydrophobicity"> hydrophobicity</a> </p> <a href="https://publications.waset.org/abstracts/170990/malachite-ore-treatment-with-typical-ammonium-salts-and-its-mechanism-to-promote-the-flotation-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170990.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">67</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Integrating Dynamic Brain Connectivity and Transcriptomic Imaging in Major Depressive Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qingjin%20Liu">Qingjin Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jinpeng%20Niu"> Jinpeng Niu</a>, <a href="https://publications.waset.org/abstracts/search?q=Kangjia%20Chen"> Kangjia Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiao%20Li"> Jiao Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Huafu%20Chen"> Huafu Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Liao"> Wei Liao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Functional connectomics is essential in cognitive science and neuropsychiatry, offering insights into the brain's complex network structures and dynamic interactions. Although neuroimaging has uncovered functional connectivity issues in Major Depressive Disorder (MDD) patients, the dynamic shifts in connectome topology and their link to gene expression are yet to be fully understood. To explore the differences in dynamic connectome topology between MDD patients and healthy individuals, we conducted an extensive analysis of resting-state functional magnetic resonance imaging (fMRI) data from 434 participants (226 MDD patients and 208 controls). We used multilayer network models to evaluate brain module dynamics and examined the association between whole-brain gene expression and dynamic module variability in MDD using publicly available transcriptomic data. Our findings revealed that compared to healthy individuals, MDD patients showed lower global mean values and higher standard deviations, indicating unstable patterns and increased regional differentiation. Notably, MDD patients exhibited more frequent module switching, primarily within the executive control network (ECN), particularly in the left dorsolateral prefrontal cortex and right fronto-insular regions, whereas the default mode network (DMN), including the superior frontal gyrus, temporal lobe, and right medial prefrontal cortex, displayed lower variability. These brain dynamics predicted the severity of depressive symptoms. Analyzing human brain gene expression data, we found that the spatial distribution of MDD-related gene expression correlated with dynamic module differences. Cell type-specific gene analyses identified oligodendrocytes (OPCs) as major contributors to the transcriptional relationships underlying module variability in MDD. To the best of our knowledge, this is the first comprehensive description of altered brain module dynamics in MDD patients linked to depressive symptom severity and changes in whole-brain gene expression profiles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title="major depressive disorder">major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=module%20dynamics" title=" module dynamics"> module dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=magnetic%20resonance%20imaging" title=" magnetic resonance imaging"> magnetic resonance imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptomic" title=" transcriptomic"> transcriptomic</a> </p> <a href="https://publications.waset.org/abstracts/190173/integrating-dynamic-brain-connectivity-and-transcriptomic-imaging-in-major-depressive-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190173.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">25</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> 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Search results for: Xie Jinpeng