Results 81 to 90 of about 1,215,136 (146)

Intelligent student systems : an application of viewpoints to intelligent learning environments [PDF]

, 1993
Intelligent Student Systems are a class of Intelligent Learning Environments that place the learner in the role of a tutor rather than a student.
Nichols, D.M, David M. Nichols, Nichols, David, Self, John   +3 more
core  

Metal nanostructure‐coupled label‐free localized surface plasmon resonance biosensors for rapid and sensitive disease diagnosis

BMEMat, EarlyView.
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng, Yunfei Sha, Jiongyan Yang, Hongru Yang, Xiao Liang   +4 more
wiley   +1 more source

Past and Future of Sustainability Indicator Research in Agribusiness: A Bibliometric and Forecasting Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study offers a forward‐looking assessment of sustainability indicator research in agribusiness by integrating bibliometric mapping with ARIMA‐based forecasting. Analysing 403 Scopus‐indexed articles, bibliographic‐coupling analysis identifies three contemporary thematic domains: Techno‐Managerial Sustainability, Systemic and ...
Marcelo Kratz Mendes, Olga Cam, Aurora Carneiro Zen, Roger de Bem Jaeger, Daniela Callegaro‐de‐Menezes, Juliana Matos de Meira   +5 more
wiley   +1 more source

Circular Economy in Food Supply Chains: Comprehending the Paradigm and Redefining Future Research Through a Multidisciplinary Review of Reviews

Business Strategy and the Environment, EarlyView.
ABSTRACT The inefficiencies of the global food system necessitate a shift towards a circular economy (CE) in food supply chains (FSCs). While research on CE in FSCs spans multiple disciplines, it often remains siloed within respective disciplinary boundaries, limiting its practical impact.
Lovish Raheja, Pankaj Dutta, Ananya Bhattacharya   +2 more
wiley   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

Nanophotonic Biosensors and the Paradigm of Trans‐Scale Autonomous Bio‐Integrated Diagnostics for Addressing Health Complexities

Electron, EarlyView.
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary, Harsh Sable, Sonu Sonu, Lakshita Phor, Reddicherla Umapathi, Pradeep Bhadola   +5 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Epilepsy‐associated SCN2A‐L1342P mutation drives network hyperexcitability and widespread transcriptomic changes in human cortical organoids

Epilepsia, EarlyView.
Abstract Objective SCN2A pathogenic mutations, such as the recurrent heterozygous Nav1.2‐L1342P, are monogenic causes of epilepsy. In this human‐induced pluripotent stem cell–derived model system, we aim to investigate the molecular and cellular mechanisms underlying SCN2A‐L1342P‐associated pathology. Methods Using a human male induced pluripotent stem
Maria I. Olivero‐Acosta, Morgan Robinson, Zhefu Que, Zaiyang Zhang, Karen V. Salazar‐Salazar, Hope Elizabeth Harlow, Vinayak Shankar, Seoyeon Hong, Muhan Wang, Conrad M. Otterbacher, Hina Kadono, Manasi Halurkar, Harish Kothandaraman, Nadia Atallah Lanman, Trang Nguyen, Kyle Wettschurack, Benjamin Zirkle, Layan Yunis, Ningren Cui, Xiaoling Chen, Jingliang Zhang, Jiaxiang Wu, William C. Skarnes, Chongli Yuan, Feng Guo, Megan Abbott, Yang Yang   +26 more
wiley   +1 more source

Automated segmentation of postsurgical resection cavities on magnetic resonance imaging in focal epilepsy: A Multicentre Epilepsy Lesion Detection study

Epilepsia, EarlyView.
Abstract Objective Quantitative assessment of extent of tissue resection following epilepsy surgery requires accurate delineation of the resection cavity on postoperative magnetic resonance imaging (MRI). Current methods for resection cavity masking are time‐consuming and labor‐intensive, and existing automated approaches exhibit variable segmentation ...
Jieun Seo, Mathilde Ripart, Helene Kaas, Cornelius Kronlage, Ben Sinclair, Lucy Vivash, Merran R. Courtney, Terence J. O'Brien, Siby Gopinath, Harilal Parasuram, Sedat Kandemirli, Natally Alarab, Lillian Lai, Marcus Likeman, Kai Zhang, Jiajie Mo, Georgian Ciobotaru, James Galea, Philip Sequeiros‐Peggs, Khalid Hamandi, Hua Xie, Venkata Sita Priyanka Illapani, William D. Gaillard, Nathan T. Cohen, Alexander G. Weil, Florence Henrichon‐Goulet, Kenza S. Lahlou, Aristides Hadjinicolaou, Agustín Ibáñez, Gonzalo M. Rojas‐Costa, Horst Urbach, Lara Bücheler, Marcel Heers, Adrián Valls Carbó, Rafael Toledano, Giulia Nobile, Costanza Parodi, Domenico Tortora, Alessandro Consales, Antonella Riva, Mariasavina Severino, Martin Tisdall, Felice D'Arco, Kshitij Mankad, Aswin Chari, Maria H. Eriksson, Rory J. Piper, J. Helen Cross, Torsten Baldeweg, Sofia González‐Ortiz, Jose Pariente, Nuria Bargalló, Yawu Liu, Reetta Kälviäinen, Carmen Barba, Matteo Lenge, Renzo Guerrini, Masaki Iwasaki, Daichi Sone, Hiroyuki Maki, Tomoki Imokawa, Noriko Sato, Julien Jung, Francisco Sepulveda, Daniel Mansilla, Andres Goycoolea, Ingeborg Lopez, Antonio Napolitano, Alessandro De Benedictis, Luca De Palma, Maria Camilla Rossi‐Espagnet, Nikolaos Kondylidis, Kostakis Gkiatis, Kyriakos Garganis, Joshua Pepper, Stefano Seri, John S. Duncan, Clarissa L. Yasuda, Lucas Scárdua‐Silva, Marina K. M. Alvim, Fernando Cendes, Antonio G. Gennari, Ruth O'Gorman Tuura, Georgia Ramantani, Mariam Josyula, Joel Stein, Nishant Sinha, Kate Davis, R. Edward Hogan, Luigi Maccotta, Sophie Adler, Konrad Wagstyl   +91 more
wiley   +1 more source

The genetic architecture of epilepsy across molecular mechanisms and clinical heterogeneity

Epilepsia Open, EarlyView.
Abstract Epilepsy comprises a highly heterogeneous group of neurological disorders unified by a persistent predisposition to recurrent seizures, yet driven by remarkably diverse genetic, molecular, and network‐level mechanisms. Advances in genomic technologies have revealed that epilepsy arises from a multilayered genetic architecture encompassing rare
Mohammad Reza Seyedtaghia, Jina Babanzadeh, Marcello Scala, Lorenzo Perilli, Pasquale Striano   +4 more
wiley   +1 more source