Skills for Collecting Research Data, Analytical Skills, and Lecturer Job Effectiveness at Nigerian Universities. by Oluwafemi, Ebenezer Jegede, Otu, Bernard D.

“…The instrument for data collection was constructed by the researchers using a four likert scale questionnaire titled; Skills for Collecting Research Data, Analytical Skills, and Lecturer Job Effectiveness at Nigerian Universities. …”
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The Effect of Poverty on The Social Welfare of Households in Kyanamira Sub-County Kabale District. by Natukunda, Barnabas

“…This research study, titled "The UTect or Poverty on the Social Welfare of households in Kyanamira Sub County, Kabale District," aimed to investigate the multifaceted impact of poverty on the social welfare or households in a rural context. …”
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Epidemiology of Trypanosomiasis in Wildlife—Implications for Humans at the Wildlife Interface in Africa by Keneth Iceland, Kasozi, Zirintunda, Gerald, Ssempijja, Fred, Buyinza, Bridget, Alzahrani, Khalid J., Matama, Kevin, Nakimbugwe, Helen N., Alkazmi, Luay, Onanyang, David, Bogere, Paul, Ochieng, Juma John, Islam, Saher, Matovu, Wycliff, Nalumenya, David Paul, Batiha, Gaber El-Saber, Osuwat, Lawrence Obado, Abdelhamid, Mahmoud, Shen, Tianren, Omadang, Leonard, Welburn, Susan Christina

“…T. evansi is mechanically transmitted, and T. vixax is also commonly transmitted by biting flies including tsetse. Wildlife animal species serve as long-term reservoirs of infection, but the delicate acquired balance between trypanotolerance and trypanosome challenge can be disrupted by an increase in challenge and/or the introduction of new more virulent species into the ecosystem. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…Inaccuracies and inefficiencies in traditional attendance management systems have long posed challenges for educational institutions. This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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