Results 221 to 230 of about 11,307,335 (373)

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

open access: yesInterdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai   +11 more
wiley   +1 more source

Regression analyses and Shapley value decomposition.

open access: green
Xiaobo Gu (1503574)   +2 more
openalex   +1 more source

The “Zhang Xuefeng Effect”: Information Intervention and the College Admission Problem in China

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT Information regarding the quality of colleges and labor‐market prospects of majors plays an important role in parents' and students' school‐choice decisions, particularly when these decisions are crucially relevant to the students' long‐run career choices and life earnings.
Yutong Huo, Yun Wang
wiley   +1 more source

Beyond Truth‐Telling: A Replication Study on School Choice

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT In a recent paper, Fack et al. (2019, American Economic Review) convincingly argue and theoretically demonstrate that there may be strong incentives for students to play non‐truth‐telling strategies when reporting preferences over schools, even when the celebrated deferred acceptance algorithm is employed.
Tommy Andersson   +4 more
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

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan   +3 more
wiley   +1 more source

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