Results 201 to 210 of about 87,048 (263)

Ligand-based machine learning models to classify active compounds for prostaglandin EP2 receptor. [PDF]

Sci Rep
Dupuyds P, Rayar A, Opuu V, Lescanne C, Wang S, Annereau JP, Nghe P, Briseño-Roa L.   +7 more
europepmc   +1 more source

Strategies for Mitigating Seasonal Heavy Metal Release in River Sediments Using Natural Mineral‐Based Materials

Environmental Quality Management, Volume 35, Issue 3, Spring 2026.
ABSTRACT This study presents an ecological and geochemical assessment of trace element contamination in the Huyva River (Ukraine), a right tributary of the Teteriv River that supplies drinking water to Zhytomyr and nearby settlements. The research involved monitoring key physicochemical parameters, including pH, mineralization, hardness, and major ion ...
Yuliia Trach, Olha Biedunkova, Maryna Kravchenko, Tetiana Tkachenko, Roman Trach   +4 more
wiley   +1 more source

Metals' Adsorption Onto Environmental Microplastics at Shoreline Sediments

X-Ray Spectrometry, Volume 55, Issue 2, Page 349-365, March/April 2026.
ABSTRACT This study assessed trace element concentrations and microplastic (MP) contamination in three sandy beaches on the southern coast of Ilha Grande (Rio de Janeiro, Brazil). Environmental MPs were manually extracted from sand samples, and beaches were classified using the microplastic pollution index (MPPI).
Adriana F. Curty, Fábio Tsuyama, Priscilla M. O. M. Cunha, Marcelino J. Anjos, André L. S. Salomão   +4 more
wiley   +1 more source

Transformer based sign-to-text translation for Bangladeshi sign language. [PDF]

Sci Rep
Dhrubo TH, Reza MT, Sahariar S, Mukto WA.   +3 more
europepmc   +1 more source

Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which embeds the observed plot among null plots, can reduce subjectivity but requires even more human effort.
Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas, Klaus Ackermann   +4 more
wiley   +1 more source

Protocol to discover terrain-precipitation relationships with interpretable artificial intelligence. [PDF]

STAR Protoc
Xu H, Chen Y, Zeng Z, Li N, Li J, Zhang D.   +5 more
europepmc   +1 more source

Literature‐informed ensemble machine learning for three‐year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model

Diabetes, Obesity and Metabolism, Volume 28, Issue 3, Page 1997-2026, March 2026.
Abstract Introduction Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemble machine learning model for three‐year DKD/DN risk prediction with deployment readiness ...
Ayla M. Tourkmani, Turki J. Al‐Harbi, Ahmad Abdullah Alghamdi, Ibrahim M. Youzghadli, Faris Saad Alosaimi, Ahmed Y. Azzam   +5 more
wiley   +1 more source

Application of python image analysis tools for particle structure detachment detection in high‑speed videos during model filter regeneration. [PDF]

MethodsX
Desens O, Meyer J, Dittler A.
europepmc   +1 more source

Seroprevalence of equine leptospirosis in Poland (2019–2023)

Equine Veterinary Journal, Volume 58, Issue 2, Page 523-532, March 2026.
Abstract Background Leptospirosis in horses is associated with various clinical signs, potentially leading to fatal outcomes. Additionally, the disease may pose a zoonotic risk to individuals involved in handling infected animals. Implementing a serological monitoring programme in the equine population is one of the key tools used to reduce the risk of
Jacek Żmudzki, Monika Ostrowska, Zbigniew Arent, Maciej Frant, Maciej Kochanowski, Agnieszka Nowak, Sylwia Zębek, Damian Kalinowski, Katarzyna Podgórska   +8 more
wiley   +1 more source

Establishing a real-time biomarker-to-LLM interface: a modular pipeline for HRV signal acquisition, processing, and physiological state interpretation via generative AI. [PDF]

Front Digit Health
Gellisch M, Burr B.
europepmc   +1 more source