The need for private security to provide an effective response to physical threats has become more important, according to the author. Both the security director and administrator, he states, must determine an effective policy in advance. The article outlines such a use of force policy as well as discussing other considerations that are involved in carrying it out.
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Life satisfaction around the world: Measurement invariance of the Satisfaction With Life Scale (SWLS) across 65 nations, 40 languages, gender identities, and age groups.
PLoS One
January 2025
Faculty of Psychology, Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria.
The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions.
View Article and Find Full Text PDFFacing migration under adverse conditions: challenges and resilience in the Colombo-Venezuelan border area.
BMC Public Health
January 2025
Centre for Medicine and Society, University of Freiburg, Freiburg, Germany.
Background: Internal displacement and cross-country migration are an increasing global phenomenon drawing the attention of politicians and the public. Causes and effects on the migrants and receptor populations are varied and often shaped by immigration laws and how migrants and refugees are being dealt with by local conditions, policy frameworks and by the host population (receptors). The massive influx of Venezuelan migrants into Colombia for more than a decade has characteristics which warrant a systematic analysis to identify contextual and individual factors favouring and hindering the well-being of migrants and their new Colombian neighbours of the receptor population.
View Article and Find Full Text PDFDevelopment of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.
J Am Med Inform Assoc
January 2025
Department of Medicine, Stanford University, Stanford, CA 94305, United States.
Background: Generative AI, particularly large language models (LLMs), holds great potential for improving patient care and operational efficiency in healthcare. However, the use of LLMs is complicated by regulatory concerns around data security and patient privacy. This study aimed to develop and evaluate a secure infrastructure that allows researchers to safely leverage LLMs in healthcare while ensuring HIPAA compliance and promoting equitable AI.
View Article and Find Full Text PDFProfessional training of prison service workers in the Czech Republic: historical development, aspects of importance and current challenges.
Int J Prison Health (2024)
January 2025
Department of Pedagogy, AMBIS vysoká škola, a.s./ AMBIS University, Prague, Czech Republic.
Purpose: The purpose of this paper is to analyse the historical development and current challenges of professional training for prison service staff in the Czech Republic. This study focuses on the transition from a repressive system under communism to a democratic approach emphasising human rights, ethics and professionalisation. It aims to assess the effectiveness of the current training programmes and their alignment with international standards, highlighting their impact on safety, recidivism reduction and prisoner re-socialisation.
View Article and Find Full Text PDFA chaotic digital signature algorithm based on a dynamic substitution box.
Sci Rep
January 2025
Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, 07738, CDMX, México.
Given the large volumes of sensitive information transmitted over the Internet, digital signatures are essential for verifying message authenticity and integrity. A key challenge is minimizing computationally intensive operations, such as modular inverses, without compromising security. In this research, we propose the DSADHπ algorithm, which introduces a confusion step directly into the signature itself, rather than only applying it to the message, using a dynamic substitution box.
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