Results 181 to 190 of about 30,992 (298)

Generative Artificial Intelligence in Clinical Practice: How Should Rheumatologists Evaluate and Monitor Emerging Tools?

Arthritis Care &Research, EarlyView.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source

A Programming Model for Portable Fault Detection and Diagnosis

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Dimitris Mavrokapnidis, Gabe Fierro, Ivan Korolija, Dimitrios Rovas   +3 more
openaire   +2 more sources

A Nonlinear Support Vector Machine-Based Feature Selection Approach for Fault Detection and Diagnosis: Application to the Tennessee Eastman Process. [PDF]

AIChE J, 2019
Onel M, Kieslich CA, Pistikopoulos EN.
europepmc   +1 more source

The Content and Reporting Completeness of Physical Therapist–Led Interventions for Glenohumeral Osteoarthritis: A Systematic Review

Arthritis Care &Research, EarlyView.
Objective This study synthesized the content and reporting completeness of published physical therapist–led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL, and PEDro (until June 2025) for any peer‐reviewed articles or studies describing ...
Daha G. Muhammad, Nadine E. Foster, Mickylle Pelaez, Karina O'Leary, Ilana N. Ackerman, Jonathan G. Quicke   +5 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Ga–O–Pt Electronic Bridges Bypass Single‐Site Constraints for pH‐Universal Hydrogen Evolution

Advanced Functional Materials, EarlyView.
Well‐defined oxygen‐bridged Ga–O–Pt catalysts are constructed for pH‐universal hydrogen evolution, highlighting the relationship between oxygen‐bridged electronic coupling, rapid surface hydrogen redistribution, and superior catalytic performance. ABSTRACT Single‐site descriptors often fail to capture hydrogen evolution on heterometallic interfaces ...
Rui Wang, Jinbo Sun, Nicole L. D. Sui, Zitao Li, Jie Chen, Shulai Lei, Yuntong Sun, Wenjun Fan, Jong‐Min Lee   +8 more
wiley   +1 more source

Digitally Printed Eco‐Friendly Electronic Devices

Advanced Functional Materials, EarlyView.
Fabrication of electronics using eco‐friendly materials through digital printing routes is a promising strategy for improving life cycle sustainability and reducing the environmental impacts of conventional manufacturing. This review highlights state‐of‐the‐art eco‐friendly materials, green ink formulations, various resource‐efficient digital printing ...
Nitheesh M. Nair, Mikel Rincón‐Iglesias, Cristian Mendes‐Felipe, Fatemeh Etehadi, Senentxu Lanceros‐Méndez, Gerardo Hernandez‐Sosa   +5 more
wiley   +1 more source

Measuring Blood Plasma Glutamine Levels Using a Nanopore‐Based Sensor

Advanced Healthcare Materials, EarlyView.
Glutamine (GLN) is a biomarker useful for predicting toxic ammonia accumulation. Here, we used a biosensor based on the Cytolysin A (ClyA) nanopore coupled with the GLN‐specific protein substrate‐binding domain 2 (SBD2) to demonstrate real‐time measurement of GLN in blood plasma, highlighting the potential for future point‐of‐care applications ...
Sofia B. Relvas, Iris M. Kormelink, Sandra Michel‐Souzy, Florian L. R. Lucas, Nieck J. van der Heide, Hans R. Waterham, Ramon Versteeg, Judith Jans, Loes I. Segerink, Carsten Wloka   +9 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source