1,193 results match your criteria: "de La Salle University[Affiliation]"

Background: In electoral contexts, mental health topics have recently attracted sociopolitical relevance, influenced by policy developments, election-related psychopathology and popular discourse about individual candidates. Yet, whether this reflects generalised trends or is contingent on election-specific and contextual factors remains difficult to ascertain.

Aims: This study sought to examine correlations between Google Trends (GT) data on mental health and four national elections in the US and the UK from 2008 to 2020.

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Tuberculosis (TB) is an infectious disease caused by Mycobacterium. It primarily impacts the lungs but can also endanger other organs, such as the renal system, spine, and brain. When an infected individual sneezes, coughs, or speaks, the virus can spread through the air, which contributes to its high contagiousness.

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Artificial intelligence and inequality: insights from the Philippines.

J Public Health (Oxf)

August 2024

Department of Sociology and Behavioral Sciences, De La Salle University, Manila 1004, Philippines.

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Background: Migration and health are key priorities in global health and essential for protecting and promoting the health of migrants. To better understand the existing evidence on migration health, it is critical to map the research publication activity and evidence on the health of migrants and mobile populations. This paper presents a search strategy protocol for a bibliometric analysis of scientific articles on global migration health (GMH), leveraging the expertise of a global network of researchers and academics.

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The statewide consumer transportation demand model analyzes consumers' transportation needs and preferences within a particular state. It involves collecting and analyzing data on travel behavior, such as trip purpose, mode choice, and travel patterns, and using this information to create models that predict future travel demand. Naturalistic research, crash databases, and driving simulations have all contributed to our knowledge of how modifications to vehicle design affect road safety.

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Introduction: Fine-grained, descriptive information on habitats and reproductive conditions of plant species are crucial in forest restoration and rehabilitation efforts. Precise timing of fruit collection and knowledge of species' habitat preferences and reproductive status are necessary especially for tropical plant species that have short-lived recalcitrant seeds, and those that exhibit complex reproductive patterns, e.g.

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Fostering LGBTQ+ Mental Health Promotion in Non-Health Academic Programs: A Filipino Perspective.

Health Promot Pract

June 2024

Department of Sociology and Behavioral Sciences, De La Salle University, Manila, Philippines.

This article emphasized the urgency of promoting LGBTQ+ mental health in the Philippines, a nation known for its friendly attitude toward LGBTQ+ individuals. Despite this, a significant portion of the population maintains negative attitudes, fostering persistent stigmatization and discrimination against gay men and lesbians. These adverse social conditions, coupled with the absence of comprehensive LGBTQ+ rights protection, exacerbate mental health disparities among LGBTQ+ individuals.

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Article Synopsis
  • Deep random forest (DRF) combines deep learning and random forest techniques, offering similar accuracy and interpretability as deep neural networks (DNNs) while being computationally efficient for edge intelligence tasks.
  • The main challenge in accelerating DRFs lies in executing branch-split operations at decision nodes, which is crucial for improving performance.
  • This study introduces a new DRF implementation using ferroelectric analog content addressable memory (ACAM) that enhances energy efficiency and latency, achieving significant improvements over existing DRF hardware on CPUs and ReRAM.
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Background: As the number of genome-wide association study (GWAS) and quantitative trait locus (QTL) mappings in rice continues to grow, so does the already long list of genomic loci associated with important agronomic traits. Typically, loci implicated by GWAS/QTL analysis contain tens to hundreds to thousands of single-nucleotide polmorphisms (SNPs)/genes, not all of which are causal and many of which are in noncoding regions. Unraveling the biological mechanisms that tie the GWAS regions and QTLs to the trait of interest is challenging, especially since it requires collating functional genomics information about the loci from multiple, disparate data sources.

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Rolling out protection: analyzing a mobile COVID-19 vaccination van in South London.

J Public Health (Oxf)

December 2024

Department of Theology and Religious Education, De La Salle University, 2401 Taft Avenue, Manila 1004, Philippines.

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Navigating COVID-19: addressing worker mental distress in the Philippines.

J Public Health (Oxf)

August 2024

Department of Theology and Religious Education, De La Salle University, 2401 Taft Avenue, Manila 1004, Philippines.

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Generative AI in public health: pathways to well-being and positive health outcome.

J Public Health (Oxf)

December 2024

Department of Theology and Religious Education, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, Philippines.

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Exploring vaccine acceptance: altruism's insufficiency in promoting uptake.

J Public Health (Oxf)

August 2024

Department of Theology and Religious Education, De La Salle University, 2401 Taft Avenue, Manila 1004, Philippines.

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Inhibitory and anti-adherent effects of L. leaf extract against in co-infection with and : A sustainable one-health approach.

Vet World

April 2024

School of Allied Health Sciences, Southeast Asia Water Team (SEA Water Team), World Union for Herbal Drug Discovery, and Research Excellence Center for Innovation and Health Products, Walailak University, Nakhon Si Thammarat, Thailand.

Background And Aim: Keratitis is a serious ocular infection often caused by pathogenic microorganisms such as spp. Among other harmful microbes, keratitis presents a particular challenge due to its resistance to conventional antimicrobial agents. Linn.

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