Results 71 to 80 of about 9,406 (253)
ABSTRACT This study examines how environmental regulations can drive technological change, drawing on the innovation systems perspective and the strong Porter hypothesis (SPH). The SPH suggests that well‐designed stringent regulations can foster innovation and enhance firm competitiveness, performance, and survival, yet prior research remains largely ...
Muhammad Zubair Khan +3 more
wiley +1 more source
ABSTRACT This study examines the potential associations between anxiety and aggressive behaviors in college students with high‐risk adverse childhood experiences (ACEs) and explores how this relationship may be influenced by bullying perpetration, applying general strain theory. A sample of 282 college students aged 19 to 29 (Mage = 21.59, SDage = 2.48;
Jeoung Min Lee +5 more
wiley +1 more source
Differences in Immediate and Delayed Suggestibility Among Children With Dyslexia and Controls
ABSTRACT The primary aim of this study was to investigate the relationship between dyslexia and suggestibility in children, and the extent to which this relationship is accounted for by performance on Word Tasks. Participants comprised 95 children with dyslexia and 109 controls.
Gisli Gudjonsson +2 more
wiley +1 more source
The Role of Artificial Intelligence in Predicting Criminal Offender Profiles [PDF]
The rapid expansion of artificial intelligence (AI) has significantly transformed various domains, including criminology and criminal justice. Given the growing complexity of criminal behaviors and the limitations of traditional investigative methods ...
Saman Abdollahi
doaj +1 more source
Predictive Hotspot Mapping for Data-Driven Crime Prediction
Predictive hotspot mapping is an important problem in crime prediction and control. An accurate hotspot mapping helps in appropriately targeting the available resources to manage crime in cities. With an aim to make data-driven decisions and automate policing and patrolling operations, police departments across the world are moving toward predictive ...
Karthik Sriram +2 more
openaire +2 more sources
Predicting Financial Crime: Augmenting the Predictive Policing Arsenal
Financial crime is a rampant but hidden threat. In spite of this, predictive policing systems disproportionately target "street crime" rather than white collar crime. This paper presents the White Collar Crime Early Warning System (WCCEWS), a white collar crime predictive model that uses random forest classifiers to identify high risk zones for ...
Sam Lavigne +2 more
openaire +2 more sources
ABSTRACT Bullying, both traditional and cyber, has become a public health concern. Nevertheless, few studies have differentiated between traditional bullying and cyberbullying to examine how their interplay shapes distinct bullying involvement profiles and how these profiles link with well‐being and mental health outcomes.
Xingzhou Zhang +3 more
wiley +1 more source
Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model
Accurate crime prediction is crucial for the proactive allocation of law enforcement resources and ensuring urban safety. A major challenge in achieving accurate predictions lies in identifying generalized patterns of criminal behavior from ...
Miaoxuan Shan +3 more
doaj +1 more source
ABSTRACT This is a retrospective case study of an antisemitic lone actor terrorist who completed the deadliest attack against the Jewish community in American history. The analysis through the lens of the Terrorist Radicalization Assessment Protocol (TRAP‐18) finds that 72% of the warning indicators were present, including four proximal warning ...
Molly Amman, Julia Kupper, J. Reid Meloy
wiley +1 more source
Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability
Crime prediction has become a valuable tool for enhancing predictive policing, enabling law enforcement agencies to allocate resources more effectively and implement proactive crime prevention strategies, particularly in high-crime areas.
Filiz Ersoz +3 more
doaj +1 more source

