Results 171 to 180 of about 48,035,777 (265)

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among US Veterans

Arthritis Care &Research, EarlyView.
Biomedical research involving US veterans continues to advance health care beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both veteran ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

Assessment of clinical education (ASSCE): a scoping review of use and experiences of the tool. [PDF]

BMC Nurs
Löfmark A, Engström M, Mårtensson G.
europepmc   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

INSPIRE: a healthcare-specialized instructional design methodology for high-stakes e-learning in the era of artificial intelligence. [PDF]

BMC Med Educ
Alturkistani H, Almalki F.
europepmc   +1 more source

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

Arthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif, Catherine Wright, Samantha Rodriguez, Sarah Graves, Tamar Krishnamurti, Mehret Birru Talabi   +5 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Development and Educational Evaluation of a Radiation Visualization System in a Virtual Reality Training Module for Radiopharmaceutical Administration: Mixed Methods Study of Students' Learning Experiences. [PDF]

JMIR Med Educ
Kakimoto A, Fujise D, Watanabe S, Otaka Y, Minemoto S, Yasumatsu A, Hasegawa S.   +6 more
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

ManyBabies 3: A Multi-Lab Study of Infant Algebraic Rule Learning. [PDF]

Dev Sci
Visser I, Geambasu A, Kachergis G, Oliveira CM, Rocha-Hidalgo J, Zettersten M, Ahamat T, Alessandroni N, Althaus N, Arunachalam S, Aussems S, Axelsson EL, Aydin Z, Baumgartner HA, Bergmann C, Bettoni R, Black AK, Bulf H, Byers-Heinlein K, Capparini C, Carroll L, Carstensen A, Cebulla R, Chen X, Chládková K, Colavolpe B, Constantine RR, Cortes EE, Doyle FL, Exner A, Forbes SH, Franchin L, Geraci A, Gervain J, Gonzalez-Gomez N, Hagelund S, Hannon EE, Havron N, Jaffe-Dax S, Johnson SP, Jędryczka W, Kartushina N, Struhl MK, Koleini A, Kona A, Kong SP, Kosie JE, Kuc̆erová M, Cook K, Leslie JW, Lew-Williams C, Li SWY, Livne R, Marklund E, Mayor J, Misiak M, Moreau D, Mueller JL, Muhinyi A, Quinn AA, Raijmakers MEJ, Rosslund A, Schwarz IC, Shinskey JL, Shukla M, Sirois S, Sorokowski P, Sowan B, Tauzin T, Tsui ASM, Turconi M, Urizar RC, Wagner L, Wermelinger S, Westermann G, Weyers I, Yuan LSB, Zaharieva MS, Zamuner TS, Zapiór B, Zasso S, Zhou JG, Soderstrom M, Levelt CC.   +83 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