Search results for: Tyson Kaempffer

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Kaempffer</title> <meta name="description" content="Search results for: Tyson Kaempffer"> <meta name="keywords" content="Tyson Kaempffer"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="Tyson Kaempffer"> <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> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Tyson Kaempffer</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Case-Based Reasoning Application to Predict Geological Features at Site C Dam Construction Project</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shahnam%20Behnam%20Malekzadeh">Shahnam Behnam Malekzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20Kerr"> Ian Kerr</a>, <a href="https://publications.waset.org/abstracts/search?q=Tyson%20Kaempffer"> Tyson Kaempffer</a>, <a href="https://publications.waset.org/abstracts/search?q=Teague%20Harper"> Teague Harper</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Watson"> Andrew Watson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Site C Hydroelectric dam is currently being constructed in north-eastern British Columbia on sub-horizontal sedimentary strata that dip approximately 15 meters from one bank of the Peace River to the other. More than 615 pressure sensors (Vibrating Wire Piezometers) have been installed on bedding planes (BPs) since construction began, with over 80 more planned before project completion. These pressure measurements are essential to monitor the stability of the rock foundation during and after construction and for dam safety purposes. BPs are identified by their clay gouge infilling, which varies in thickness from less than 1 to 20 mm and can be challenging to identify as the core drilling process often disturbs or washes away the gouge material. Without the use of depth predictions from nearby boreholes, stratigraphic markers, and downhole geophysical data, it is difficult to confidently identify BP targets for the sensors. In this paper, a Case-Based Reasoning (CBR) method was used to develop an empirical model called the Bedding Plane Elevation Prediction (BPEP) to help geologists and geotechnical engineers to predict geological features and bedding planes at new locations in a fast and accurate manner. To develop CBR, a database was developed based on 64 pressure sensors already installed on key bedding planes BP25, BP28, and BP31 on the Right Bank, including bedding plane elevations and coordinates. Thirteen (20%) of the most recent cases were selected to validate and evaluate the accuracy of the developed model, while the similarity was defined as the distance between previous cases and recent cases to predict the depth of significant BPs. The average difference between actual BP elevations and predicted elevations for above BPs was 卤55cm, while the actual results showed that 69% of predicted elevations were within 卤79 cm of actual BP elevations while 100% of predicted elevations for new cases were within 卤99cm range. Eventually, the actual results will be used to develop the database and improve BPEP to perform as a learning machine to predict more accurate BP elevations for future sensor installations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=case-based%20reasoning" title="case-based reasoning">case-based reasoning</a>, <a href="https://publications.waset.org/abstracts/search?q=geological%20feature" title=" geological feature"> geological feature</a>, <a href="https://publications.waset.org/abstracts/search?q=geology" title=" geology"> geology</a>, <a href="https://publications.waset.org/abstracts/search?q=piezometer" title=" piezometer"> piezometer</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20sensor" title=" pressure sensor"> pressure sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=core%20logging" title=" core logging"> core logging</a>, <a href="https://publications.waset.org/abstracts/search?q=dam%20construction" title=" dam construction"> dam construction</a> </p> <a href="https://publications.waset.org/abstracts/164208/case-based-reasoning-application-to-predict-geological-features-at-site-c-dam-construction-project" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164208.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">80</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> Functional Neurocognitive Imaging (fNCI): A Diagnostic Tool for Assessing Concussion Neuromarker Abnormalities and Treating Post-Concussion Syndrome in Mild Traumatic Brain Injury Patients </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Parker%20Murray">Parker Murray</a>, <a href="https://publications.waset.org/abstracts/search?q=Marci%20Johnson"> Marci Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=Tyson%20S.%20Burnham"> Tyson S. Burnham</a>, <a href="https://publications.waset.org/abstracts/search?q=Alina%20K.%20Fong"> Alina K. Fong</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20D.%20Allen"> Mark D. Allen</a>, <a href="https://publications.waset.org/abstracts/search?q=Bruce%20McIff"> Bruce McIff</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: Pathological dysregulation of Neurovascular Coupling (NVC) caused by mild traumatic brain injury (mTBI) is the predominant source of chronic post-concussion syndrome (PCS) symptomology. fNCI has the ability to localize dysregulation in NVC by measuring blood-oxygen-level-dependent (BOLD) signaling during the performance of fMRI-adapted neuropsychological evaluations. With fNCI, 57 brain areas consistently affected by concussion were identified as PCS neural markers, which were validated on large samples of concussion patients and healthy controls. These neuromarkers provide the basis for a computation of PCS severity which is referred to as the Severity Index Score (SIS). The SIS has proven valuable in making pre-treatment decisions, monitoring treatment efficiency, and assessing long-term stability of outcomes. Methods and Materials: After being scanned while performing various cognitive tasks, 476 concussed patients received an SIS score based on the neural dysregulation of the 57 previously identified brain regions. These scans provide an objective measurement of attentional, subcortical, visual processing, language processing, and executive functioning abilities, which were used as biomarkers for post-concussive neural dysregulation. Initial SIS scores were used to develop individualized therapy incorporating cognitive, occupational, and neuromuscular modalities. These scores were also used to establish pre-treatment benchmarks and measure post-treatment improvement. Results: Changes in SIS were calculated in percent change from pre- to post-treatment. Patients showed a mean improvement of 76.5 percent (蟽= 23.3), and 75.7 percent of patients showed at least 60 percent improvement. Longitudinal reassessment of 24 of the patients, measured an average of 7.6 months post-treatment, shows that SIS improvement is maintained and improved, with an average of 90.6 percent improvement from their original scan. Conclusions: fNCI provides a reliable measurement of NVC allowing for identification of concussion pathology. Additionally, fNCI derived SIS scores direct tailored therapy to restore NVC, subsequently resolving chronic PCS resulting from mTBI. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=concussion" title="concussion">concussion</a>, <a href="https://publications.waset.org/abstracts/search?q=functional%20magnetic%20resonance%20imaging%20%28fMRI%29" title=" functional magnetic resonance imaging (fMRI)"> functional magnetic resonance imaging (fMRI)</a>, <a href="https://publications.waset.org/abstracts/search?q=neurovascular%20coupling%20%28NVC%29" title=" neurovascular coupling (NVC)"> neurovascular coupling (NVC)</a>, <a href="https://publications.waset.org/abstracts/search?q=post-concussion%20syndrome%20%28PCS%29" title=" post-concussion syndrome (PCS)"> post-concussion syndrome (PCS)</a> </p> <a href="https://publications.waset.org/abstracts/87552/functional-neurocognitive-imaging-fnci-a-diagnostic-tool-for-assessing-concussion-neuromarker-abnormalities-and-treating-post-concussion-syndrome-in-mild-traumatic-brain-injury-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87552.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">355</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" 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Search results for: Tyson Kaempffer