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153 results for “interventions”

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Research ArticleOpen accessIn the abstractThe Effect of Health Education on Tuberculosis Case-Finding Based on Advocacy, Communication and Social Mobilization (ACSM) Movement in Majene District, West Sulawesi, IndonesiaMuhammad Syafar, Muhammad Ikhsan, Indra Fajarwati Ibnu, Rachma RahimThis research aimed to determine the effect of tuberculosis (TB) active case-finding interventions based on Advocacy, communication and social mobilization (ACSM) movement toward housewives’ knowledge at the work area of Banggae I Community Health Center, Majene District, West Sulawesi, Indonesia. Quasi-experimental one group pretest and posttest design was used in this research. Participants of the research were selected by inclusive … …American Journal of Infectious Diseases, Vol. 15, Issue 1 · 6 Feb 2019 · 7,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractParasites of Wild Animals Inhabiting the Territory of the Balkhash-Alakol Basin (Central Asia: Kazakhstan)Laura Zhanteliyeva, Nurgul Jussupbekova, Maratbek Suleimenov et al.This study presents data on the diversity and epizootiological significance of intestinal parasites in wild mammals inhabiting the arid Balkhash-Alakol Basin in southeastern Kazakhstan. The primary aim was to identify the range of parasites affecting local wildlife and assess potential zoonotic risks under natural ecological conditions. Field samples were collected non-invasively from three host species: Tolai hare (Lepus tolai), wild … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 27 Nov 2025 · 2,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,363 accessesView PDFCite
Review ArticleOpen accessIn the abstractBrucellosis Management in Dairy Cattle Farms: Reviewing Programs and Addressing Challenges in Iranian Dairy Cattle FarmsMaryam Dadar, Jamal GharekhaniBrucellosis, a zoonotic infection caused by Brucella species, remains a significant public health issue, affecting both animal and human health and the economy globally. This review focuses on brucellosis in dairy cattle farms in Iran, examining its prevalence, distribution, and control strategies. A systematic review of studies from databases like PubMed, Scopus, and Google Scholar found that Brucella abortus biovar … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 25 Aug 2025 · 5,206 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,106 accessesView PDFCite
Research ArticleOpen accessIn the abstractStabilization of Non-Surgical Polytrauma in Animal LimbsMarcelo Adrián Santamaría Brunengo, Santiago Ferrándiz BouThis project aims to identify and solve, or at least alleviate, certain problems associated with limb injuries in the veterinary area, where circumstances that are common in the medical sector have simple solutions but in animals represent long, painful processes and in a very large number of cases death, events that are easily solvable but which, due to a lack … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 1 · 21 Apr 2025 · 4,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel River Meander Migration and Cutoff Model: A New PerspectiveYoussef Ismail HafezAccurate prediction of river meander migration is crucial for effective river management and operation, particularly in light of climate changes and human-induced interventions. Existing models often rely on single-equation approaches, such as bank erosion rate versus excess bank velocity or excess bank shear stress, which limit their ability to comprehensively capture the complex dynamics of meander evolution. This study presents … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 21 Mar 2025 · 7,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Per Capita GDP in Intergenerational Mobility in Education: A Cross-Country StudyLida Fan, Meiying Zheng, Rong Luo, Alena AuchynnikavaThis study investigates the mechanism of how per capita GDP impacts intergenerational mobility in education. We propose an analytic framework in which per capita GDP affects educational mobility through government spending on education and other channels. Following this framework, this study conducts five-round estimations to examine the connections among per capita GDP, educational mobility, and government expenditure on education, using … …Journal of Social Sciences, Vol. 21, Issue 1 · 4 Feb 2025 · 8,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpousal Interaction and Breast Cancer Screening Among Korean AmericansUsha Menon, Eunice Lee, Jennifer Kue et al.Breast cancer screening rates for Korean Americans (KA) are low, leading to higher morbidity and mortality of the screening interventions tested, almost none account for family interactions and communication between KA couples. The purpose of this study was to explore communication patterns between KA wives and husbands about breast cancer screening after attending an educational program on breast health. Couples … …International Journal of Research in Nursing, Vol. 9, Issue 1 · 30 Mar 2018 · 7,244 accessesView PDFCite