Results 211 to 220 of about 913,111 (290)
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
Does darkness increase the risk of certain types of crime? A registered report article. [PDF]
Uttley J +5 more
europepmc +1 more source
Revisiting the Impact of Foreign Direct Investment on Crime: A Global Analysis
ABSTRACT Drawing upon extensive literature on Foreign Direct Investment (FDI) spillovers, we hypothesize that FDI inflow represents a double‐edged sword with respect to crime in host countries. On one hand, FDI can contribute to economic growth and social well‐being by infusing capital and knowledge into the host countries, thereby potentially ...
Yuan Chen +3 more
wiley +1 more source
Comparative Analysis of Violent Crime Statistics in Korea by Mental Illness Status (2012-2022): Implications of Deinstitutionalization. [PDF]
Park C +5 more
europepmc +1 more source
Land Use Policy and Racial Segregation
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley +1 more source
Conflicting trends in violent crime measured by police recorded crime and the crime survey in England and Wales since 2010. [PDF]
Francis BJ, Walby S.
europepmc +1 more source
Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias
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
Molecular genetics as evidence of environmental harm in ecocriminological analysis. [PDF]
Morelle-Hungría E.
europepmc +1 more source

