Results 141 to 150 of about 2,012,640 (258)

Endophytic Flavobacterium promotes root hair development and enhances drought tolerance via an ERF-CEP5 hormonal regulatory module. [PDF]

Nat Plants
Rahimi A, Stiegert S, Karami O, Lysenko V, Pantigoso HA, Guerrero-Egido G, Chopra P, Heyman J, Huang A, Wang G, Philippo C, Zhu T, Stegmann T, Gabarain VB, Kang J, Remus-Emsermann M, Willemsen V, Martin NI, De Veylder L, De Smet I, Wiermer M, Raaijmakers JM, Estevez JM, Mueller-Roeber B, Carrión VJ, Balazadeh S.   +25 more
europepmc   +1 more source

Race and Household Income Are Associated With Disease Outcomes in Pediatric Patients With Antineutrophil Cytoplasmic Antibody–Associated Vasculitis Hospitalized in the United States

Arthritis Care &Research, EarlyView.
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos, William Daniel Soulsby III, Emily von Scheven   +2 more
wiley   +1 more source

PEPRVision: a visualization framework for Pharmacoepidemiology research. [PDF]

Am J Epidemiol
Wang Y, Chen HK, Wen W, Cole DV, Maro JC, Rosales AN, Rasmussen SA, Winterstein AG.   +7 more
europepmc   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Efficacy and safety of a sustained release ashwagandha root extract capsules on muscle strength and cardiorespiratory endurance in recreationally active individuals: a randomized, double-blind, placebo-controlled trial. [PDF]

Front Nutr
Thanawala S, Shah R, Lopes A, Rudrappa G, Desomayanandam P, Srinivas S.   +5 more
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

Periodontal Procedure Intensity and Incident Tinnitus in Korean Adults: A Nationwide Cohort Study. [PDF]

Medicina (Kaunas)
Kim YR, Son M, Kim SR, Cho BJ.
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

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Blockchain, Artificial Intelligence, and Cyber Defense on Sensor Networks. [PDF]

Sensors (Basel)
Watanabe H.
europepmc   +1 more source