Results 131 to 140 of about 47,788 (267)

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

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

Feedforward | unChambered

open access: yes
Feedforward | unChambered is an interactive robotic sound installation that explores how contemporary technological systems shape perception and agency through repetition and self-reference. The work is grounded in a premise drawn from quantum theory: observation is never neutral.
openaire   +2 more sources

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

Learned adaptive properties for mitigation of weight perturbations in embedded spiking networks. [PDF]

open access: yesFront Neurosci
Luca S   +5 more
europepmc   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad   +5 more
wiley   +1 more source

Total monomeric anthocyanin concentration estimation of red wines based on color data using multivariate statistical analysis and machine learning

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Emirhan Atlayan   +2 more
wiley   +1 more source

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