Results 221 to 230 of about 194,005 (326)

PSII-4 Genomic prediction for meat tenderness in Nellore cattle: Multi-trait approaches and weighted best linear unbiased predictor. [PDF]

open access: bronze
C. de U. Magnabosco   +5 more
openalex   +1 more source

Noninvasive Disease Diagnostics: The Swiss Contribution Highlights to Breath Analysis Research

open access: yesHelvetica Chimica Acta, EarlyView.
Breath analysis networks across Switzerland linking health monitoring, clinical applications, population studies, and data‐driven public health decisions. ABSTRACT To celebrate the 125th anniversary of the Swiss Chemical Society, we present a review and perspective to highlight the recent research in breath analysis that has been conducted in ...
Stefan James Swift   +6 more
wiley   +1 more source

Spatial Empirical Best Linear Unbiased Prediction in Small Area Estimation of Poverty

open access: yesInternational Conference on Computer Science and Computational Intelligence, 2018
Novi Hidayat Pusponegoro   +1 more
semanticscholar   +1 more source

Organoids and organ‐on‐a‐chip models for investigating the pathophysiology of the human reproductive system

open access: yesInterdisciplinary Medicine, EarlyView.
Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang   +6 more
wiley   +1 more source

Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe   +2 more
wiley   +1 more source

Adolescents' trajectories of mental health in the MYRIAD trial

open access: yesJCPP Advances, EarlyView.
Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst   +8 more
wiley   +1 more source

Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios   +4 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher   +3 more
wiley   +1 more source

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