Results 121 to 130 of about 47,392 (266)

Solid–Liquid Triboelectric Nanogenerators as Physicochemical Encoders for Intelligent Liquid Recognition

open access: yesInterdisciplinary Materials, EarlyView.
Solid–liquid triboelectric nanogenerators are conceptualized as dynamic physicochemical encoders that encode intrinsic liquid properties into distinguishable triboelectric fingerprints. This review provides a unified framework for these platforms, covering sensing mechanisms in droplet impact, continuous flow, and immersion modes.
Mingrui Wang   +8 more
wiley   +1 more source

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways. [PDF]

open access: yesNat Mach Intell
Sun P   +5 more
europepmc   +1 more source

The importance of gene polymorphism in familial inheritance of endometriosis

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The study aimed to investigate familial transmission patterns in women with endometriosis by generating a customized single‐nucleotide polymorphism (SNP) array. Methods Patients aged 18–45 who were diagnosed histopathologically with endometriosis were included in the study.
Hale Goksever Celik   +4 more
wiley   +1 more source

Hyperoside alleviates endometrial stromal cell senescence in unexplained recurrent spontaneous abortion via DHX9‐mediated R‐loop resolution

open access: yesiMeta, EarlyView.
This study suggests that the food‐derived flavonoid hyperoside may act as a natural DExH‐box helicase 9 (DHX9) modulator, directly targeting Thr419 of DHX9 to help resolve pathological R‐loop accumulation. Consequently, it suppresses cyclic GMP‐AMP synthase‐stimulator of interferon genes (cGAS‐STING)‐driven endometrial stromal senescence and restores ...
Yuepeng Jiang   +18 more
wiley   +1 more source

Machine Learning for Coronary Heart Disease Prediction: Comparative Analysis of Framingham and Cleveland Subset of the UCI Dataset with SHAP-Based Interpretability. [PDF]

open access: yesEpidemiologia (Basel)
Raman S   +12 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin   +4 more
wiley   +1 more source

Optimizing feather hydrolysate via machine learning for microbial recycling of waste concrete fines

open access: yesJournal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The concrete industry faces significant challenges from CO2 emissions and the disposal of waste concrete fines (WCF). Microbially induced calcite precipitation (MICP) can bind WCF into bioconcrete, but the high cost of commercial culture media hinders its application.
Henrietta Ottová   +5 more
wiley   +1 more source

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