Results 141 to 150 of about 397,898 (309)
Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression [PDF]
, 2022 Gláucio Leboso Alemparte Abrantes dos Santos, Marcos Renan Besen, Renato Herrig Furlanetto, Luís Guilherme Teixeira Crusiol, Marlon Rodrigues, Amanda Silveira Reis, Karym Mayara de Oliveira, Carolina Fedrigo Coneglian, Roney Berti de Oliveira, Marcelo Augusto Batista, Marcos Rafael Nanni +10 moreopenalex +1 more sourceOral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats
Advanced Functional Materials, EarlyView.An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...Chenxiao Chu, Mingli Wei, Che Bian, Xiaoshuang Bi, Yaxin Deng, Peifu Xiao, Jiansong Zhao, Yuying Wang, Haibing He, Jingxin Gou, Tian Yin, Xing Tang, Li Yang, Hongbo Zhang, Yu Zhang +14 morewiley +1 more sourceSmarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications. Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park +17 morewiley +1 more sourcePartial least squares (PLS) regression and its application to coal analysis</a> </p><span class="r_subtitle"><img src="/img/openaccess.ico" alt="open access: yes" title="open access: yes" width="16" height="16"><i>Revista Técnica de la Facultad de Ingeniería</i>, 2003 </span><br><span class="r_content">Los métodos instrumentales de análisis químico hacen uso de las relaciones entre la señal obtenida y una propiedad del sistema estudiado (generalmente, una concentración).</span><br><span class="r_sub"><i>Carlos E Alciaturi<span id="ma_9" style="display:none">, Marcos E Escobar, Carlos De La Cruz, Carlos Rincón</span> <small><a href="#" style="color:#808080;" onClick="return toggle_div(this, 'ma_9')">+3 more</a></small></i></span><br><small><a href="https://doaj.org/article/1d77c19e48234290ae3611ac64584af6" target="_blank" rel="nofollow" title="doaj.org/article/1d77c19e48234290ae3611ac64584af6">doaj</a> </small> <br></div><div class="r"><p class="r_title"><a href="https://doi.org/10.3390/s22145410" target="_blank" rel="nofollow">Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients.</a> <b><a href="https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9318990&blobtype=pdf" target="_blank" rel="nofollow">[PDF]</a></b> </p><span class="r_subtitle"><img src="/img/openaccess.ico" alt="open access: yes" title="open access: yes" width="16" height="16"><i>Sensors (Basel)</i>, 2022 </span><br><span class="r_sub"><i>Ortiz-Barrios M<span id="ma_10" style="display:none">, Järpe E, García-Constantino M, Cleland I, Nugent C, Nugent C, Arias-Fonseca S, Jaramillo-Rueda N.</span> <small><a href="#" style="color:#808080;" onClick="return toggle_div(this, 'ma_10')">+7 more</a></small></i></span><br><small><a href="https://europepmc.org/article/MED/35891090#free-full-text" target="_blank" rel="nofollow" title="europepmc.org/article/MED/35891090#free-full-text">europepmc</a> </small> <div id="more_10" style="display:none"><a href="/sci_redir.php?doi=10.3390%2Fs22145410" target="_blank" rel="nofollow">openaccessbutton.org (pdf)</a><br><a href="javascript:navigator.clipboard.writeText('10.3390/s22145410'); alert('Copied the doi');">copy doi</a> <small>(10.3390/s22145410)</small><br></div><small><a href="#" onClick="return toggle_div(this, 'more_10')">+1 more source</a></small><br></div><div class="r"><div style="margin-bottom:2px;overflow:hidden"><div style="display: inline-block; float: left; font-size: small; padding-right: 16px; margin-top: -1px; padding-bottom: 1px;"><a href="/q-mathematics/" class="suggestion"onclick="show_loader();"><b>mathematics</b></a><br/><a href="/q-statistics/" class="suggestion"onclick="show_loader();"><b>statistics</b></a><br/><a href="/q-regression/" class="suggestion"onclick="show_loader();"><b>regression</b></a><br/></div><div style="display: inline-block; float: left; font-size: small; padding-right: 16px; margin-top: -1px; padding-bottom: 1px;"><a href="/q-regression_analysis/" class="suggestion"onclick="show_loader();"><b>regression analysis</b></a><br/><a href="/q-partial_least_squares/" class="suggestion"onclick="show_loader();"><b>partial least squares</b></a><br/><a href="/q-computer_science/" class="suggestion"onclick="show_loader();"><b>computer science</b></a><br/></div><div style="display: inline-block; float: left; font-size: small; padding-right: 16px; margin-top: -1px; padding-bottom: 1px;"><a href="/q-biology/" class="suggestion"onclick="show_loader();"><b>biology</b></a><br/><a href="/q-chemistry/" class="suggestion"onclick="show_loader();"><b>chemistry</b></a><br/><a href="/q-artificial_intelligence/" class="suggestion"onclick="show_loader();"><b>artificial intelligence</b></a><br/></div></div></div><div class="pagenav"><a href="/q-partial_least_squares_regression/p-14/" rel="nofollow"><b>previous</b></a> <a href="/q-partial_least_squares_regression/p-13/" rel="nofollow">13</a> <a href="/q-partial_least_squares_regression/p-14/" rel="nofollow">14</a> <b>15</b> <a href="/q-partial_least_squares_regression/p-16/" rel="nofollow">16</a> <a href="/q-partial_least_squares_regression/p-17/" rel="nofollow">17</a> <a href="/q-partial_least_squares_regression/p-16/" id="next" rel="nofollow"><b>next</b></a> </div><br></div>
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