Results 171 to 180 of about 203,307 (268)

Customized Itinerant Frequency Combs by Cascaded Nonlinear Effects. [PDF]

Adv Sci (Weinh)
Wang Y, Liu Y, Li Z, Wang W, Wang S, Wang C, Zhou J, Liao JQ, Li T.   +8 more
europepmc   +1 more source

Effect Modification of Cigarette Smoking on the Relationship Between Posttraumatic Stress Disorder, Other Mental Health Conditions, and Rheumatoid Arthritis Risk: A Large Case‐Control Study in US Veterans

Arthritis Care &Research, EarlyView.
Objective We examined associations of posttraumatic stress disorder (PTSD) and other mental health disorders (OMH) with rheumatoid arthritis (RA), accounting for effects of smoking. Methods We conducted a matched case‐control study, identifying incident RA cases and controls using national Veterans Health Administration data (2006–2019).
Kelsey Coziahr, Harlan Sayles, Tate M. Johnson, Joshua F. Baker, Punyasha Roul, Grant W. Cannon, Gary A. Kunkel, Katherine D. Wysham, Gail S. Kerr, Amir A. Razmjou, Isaac Smith, Jennifer L. Barton, Maria I. Danila, Jonathan S. Richards, Bryant R. England, Ted R. Mikuls   +15 more
wiley   +1 more source

Physics-Informed Cascaded Learning for Predicting and Optimizing Geometry and Quality in Laser Cladding Repair of Carburized Gear Steel. [PDF]

Materials (Basel)
Xu Y, Zheng P, Liu Z, Du L, Yan S, Xie M, Gao Z, Luo Y.   +7 more
europepmc   +1 more source

Atmospheric physics: Particulate power [PDF]

Nature, 2009
openaire   +1 more source

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

Arthritis Care &Research, Accepted Article.
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

Physics-informed learning-based fault-tolerant control for robust wireless power transfer in electric vehicles. [PDF]

Sci Rep
Saleem MH, Amin AA, Alsuwian T.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

The abundance and radial distribution of faint and ultra-faint dwarfs in galaxy clusters. [PDF]

Mon Not R Astron Soc
Sadhu P, Sales LV, Navarro JF, Errani R, Benavides J, Peng EW.   +5 more
europepmc   +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

Ideal Heat Engine Cycles at Maximal Efficiency-The Ideal Gas and Beyond. [PDF]

Entropy (Basel)
Behrendt G, Deffner S.
europepmc   +1 more source