Results 131 to 140 of about 1,077,149 (188)

Mean Value Engine Modeling of a Turbo Charged Spark Ignited Engine : A Principle Study

, 2001
Object oriented modeling of physical systems is an interesting paradigm, which has the potential to offer reusable models and model components. The aim of this study i to investigate how to build mean value models for automotive engines. MathModelica, a modeling tool for the object oriented modeling language Modelica, is used in this study. Several sub
Brugård, Jan, Eriksson, Lars, Nielsen, Lars   +2 more
openaire   +1 more source

Generative AI and Learning Dynamics in Higher Education: A Longitudinal Empirical Study

Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background Generative AI tools such as ChatGPT are increasingly integrated into higher education. Empirical evidence on how they shape learning dynamics over time remains limited. Previous studies have often examined single learning outcomes, neglecting the interplay between cognitive, motivational, and metacognitive processes that evolve ...
Chrysanthi Melanou, Maik Beege, Martin Kimmig   +2 more
wiley   +1 more source

Large language models show distinct multidimensional performance profiles and variable reproducibility in consensus‐based bone stress injury

Journal of Experimental Orthopaedics, Volume 13, Issue 4, October 2026.
Graphical illustration of study. Abstract Purpose This study evaluated five publicly available large language model‐based systems using a multidimensional, expert‐based assessment of consensus‐based clinical questions on bone stress injuries. Methods Ten standardised questions derived from a 2025 international Delphi consensus on bone stress injuries ...
Silvia Gandini, Jakob Lindskog, Yinan Yu, Felix Öttl, Richard Willy, Paolo Emilio Adami, Francesco Della Villa, Stefano Di Paolo, Fabio Bonsanto, Stefano Mazzoni, Francesco Feletti, Kristian Samuelsson, Eric Hamrin Senorski   +12 more
wiley   +1 more source

Enrichment and Proteomic Profiling of Stromal‐Associated Extracellular Vesicle Subpopulations From Arthritic Synovial Fluid by Size‐Exclusion Chromatography Coupled to CD90‐Directed Immunocapture

Journal of Extracellular Vesicles, Volume 15, Issue 10, October 2026.
Synovial fluid contains heterogeneous EV populations reflecting stromal and immune‐associated cellular inputs from the arthritic joint. SEC‐UF enrichment coupled to CD90‐targeted immunocapture enables recovery of stromal‐associated EV subpopulation from complex patient synovial fluid, while focused LC‐MS/MS and cell‐of‐origin analysis enable molecular ...
Stefanie Kurth, Edveena Hanser, Simone Häner‐Massimi, Stavros Giaglis, Florian Geier, Dominik Burri, Katarzyna Buczak, Ute Heider, Stefan Wild, Yves P. Acklin, Christian Egloff, André N. Tiaden, Diego Kyburz   +12 more
wiley   +1 more source

Reduced Complexity I/Q Turbo Detection for Space-Time Trellis-Coded Systems

, 2004
A reduced-complexity turbo-detection scheme, referred to here as the R-TD arrangement, is proposed for employment in space-time trellis-coded (STTC) systems using the inphase/quadrature-phase (I/Q) cancellation technique that was previously developed for
Yeap, B.L., Hanzo, L.
core  

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, Volume 47, Issue 8, Page 1369-1396, October 2026.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, Volume 47, Issue 8, Page 1423-1437, October 2026.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

Inter‐Shot Motion Correction of Segmented 3D‐GRASE ASL Perfusion Imaging With Self‐Navigation and CAIPI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1557-1571, October 2026.
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu, Frederik J. Lange, Peter Jezzard, Joseph G. Woods, Mark Chiew, Thomas W. Okell   +5 more
wiley   +1 more source

Zero‐Shot Self‐Supervised Learning of Single Breath‐Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1666-1681, October 2026.
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim, Marcel Dominik Nickel, Florian Knoll   +2 more
wiley   +1 more source

Design of an 8‐Channel Transmit 32‐Channel Receive 11.7T Head Coil and Evaluation of SNR Gains

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 2004-2018, October 2026.
ABSTRACT Purpose To design and develop an 8‐channel transmit 32‐channel receive 11.7T head coil for the strongest human MRI scanner to date, demonstrate safety, and evaluate signal‐to‐noise ratio (SNR) gains compared to 7T, the most used ultra‐high‐field (UHF) platform.
Son Chu, Jeslin Parackal Issac, Caroline Le Ster, Alexis Amadon, Vincent Gras, Paul‐François Gapais, Rüdiger Stirnberg, Nicolas Boulant, Shajan Gunamony   +8 more
wiley   +1 more source