Results 221 to 230 of about 73,492 (280)

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

open access: yesInfoMat, Volume 8, Issue 4, April 2026.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee   +5 more
wiley   +1 more source

Impacts of Biostimulants on Nitrous Oxide Emissions and the Soil Microbiome

open access: yesJournal of Plant Nutrition and Soil Science, Volume 189, Issue 2, Page 216-229, April 2026.
Soil incubation experiment examining the influence of biostimulants on greenhouse gas emissions and the soil microbiome in fertilized soils. ABSTRACT Background Overapplication of nitrogenous fertilizer and enhanced microbial activity in agricultural soils are drivers of increasing greenhouse gas emissions.
Conor Blunt   +4 more
wiley   +1 more source

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 4, Page 1513-1523, April 2026.
Abstract Purpose The tibial slope is a well‐known risk factor for anterior cruciate ligament (ACL) injury. As machine learning continues to progress, it has become an increasingly explored tool for clinical screening and risk factor analysis. This study aims to develop and validate a prognostic machine learning model to predict the outcome of ACL ...
Cheng‐Hao Kao   +3 more
wiley   +1 more source

The Evaluation of Machine Learning Models Using Matrix‐Assisted Laser Desorption/Ionization Time‐of‐Flight Mass Spectrometry (MALDI–TOF–MS) Spectra for the Prediction of Antibiotic Resistance in Klebsiella pneumoniae

open access: yesMicrobiologyOpen, Volume 15, Issue 2, April 2026.
Machine learning models developed from matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry spectra can rapidly predict antimicrobial resistance in Klebsiella pneumoniae. By transforming routine spectral data into accurate resistance profiles within minutes, this approach could reduce diagnostic delays and support earlier ...
Stephen Mark Edward Fordham
wiley   +1 more source

Physiological Responses to Virtual Reality‐Based Stress Regulation and Relaxation Interventions: A Systematic Review

open access: yesStress and Health, Volume 42, Issue 2, April 2026.
ABSTRACT Physiological markers are increasingly used to monitor individuals undergoing Virtual Reality (VR) stress interventions. However, several challenges arise when employing these markers to assess the impact of VR stress interventions. This systematic review synthesises and critically discusses the literature on VR stress interventions across ...
Lisanne M. Robbemond   +3 more
wiley   +1 more source

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