Setting Priorities for African Postoperative Pain Research Through an International Delphi Process by Asfaw, Gebrehiwot, Melkie, Tadesse B., Shiferaw, Ananya A., Mwiti, Timothy M., Nyirigira, Gaston, Retief, Francois, Mikailu, Alfa A., Zacharia, Amos, Jarju, Ensa, Lakew, Esubalew, Epiu, Isabella, Vishaal, Kissoon, Abed, Lynda, Yimer, Mequanent, Mohamed, Mubarak, Ekor, Oluwayemisi E., Bukuru, Prudence, Djagbletey, Robert, Ayad, Amany E., Forget, Patrice, Gebremedhn, Endale G.

“…These priorities aim to inform evidence-based policies, optimize resource allocation, and improve patient-centered care across diverse African settings.…”
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Social Media Platforms Manufacturing Small and Medium Enterprises Use to Enhance Market Performance in Wakiso District, Uganda by Mbowa, Henry Stanley, Marus, Eton, Tushabe, Sylivia Byarugaba

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From Political Rhetoric to Concrete Actions – A Human Rights-Based Approach to the Sustainable Development Goals in Africa by Ashukem, Jean-Claude N., Odaghara, Chidinma Therese, Kabaseke, Charlotte, Kabata, Faith

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Uganda: A Story of Persistent Autocratic Rule by Makara, Sabiti, Wang, Vibeke

Subjects: “…National Resistance Movement (NRM)…”
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A systematic review of the impact of generative AI on postgraduate research: opportunities, challenges, and ethical implications by Mabirizi, Vicent, Katushabe, Calorine, Muhoza, Gloria, Rugasira, Jack

“…The rapid improvement of generative artificial intelligence particularly large language models like ChatGPT, and GPT-4, has presented transformative possibilities in postgraduate research. …”
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Election and post-election management of the 2021 elections in Uganda. by Makara, Sabiti

“…On January 14, 2021, Uganda conducted its fourth multiparty general elections under the National Resistance Movement (NRM) regime, which has governed since 1986. …”
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis by Nabaasa, Evarist, Natumanya, Deborah, Mabirizi, Vicent

“…The other improvement was made on performance where the accuracy, precision, recall, and F1 score of the models particularly ResNet50 and Inception V3 produce dependable results. …”
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Social Media Use and Student Politics in Ugandan Universities by Solomon, Winyi, Omach, Paul, Makara, Sabiti

“…Social media sites such as Facebook, Twitter, and WhatsApp are essential in university students' daily politics. …”
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Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

“…The construction industry significantly contributes to environmental degradation,with many structures exhibiting high carbon footprints throughout their construction processes and lifespans.Activities such as cement hydration and other commoncon-struction practices substantially influence environmental conditions overtime,necessitating a critical evaluation of material and design choices.This study reported the environmental impact of fly ash(FA),which is largely used to enhance concrete strength.A prediction of two end point indicators,that is,global warming potential(GWP)and CO2 emission using soft computing methods are presented,which are particularly effective for handling complex,non linear relationships in environmental data.To achieve this, two machine learning approaches,the random forest(RF)and decision tree(DT)models,are employed to assess the environ- mental impact of structural materials and designs.Two data sets were obtained from reputable databases,including ResearchGate, Science Direct, Semantic Scholar,and Mendeley Data.The models are trained to explore the potential for optimizing structural designs and material selection stominimize environmental impacts.Feature importance is analyzed using Shapley values,providing insights into the most influential factors affecting GWP and CO2 emission Model performance is evaluated using R2 and root mean square error(RMSE) metrics. …”
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Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness by Kabiru, R. U., Abbas, U., Hassan, Aliyu, Terseer, A, Muhindo, D

“…Since the PCI is a measure of road pavement conditions (on a scale typically ranging from 0 to 100), an RMSE of 7.77 means that the model's predictions for PCI are, on average, about 7 to 8 PCI units off from the actual value. The study established a clear relationship between pavement condition and surface roughness, enabling the development of a model to guide maintenance decisions. …”
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Bamboo stem ash as a sustainable cement replacement in lightweight foam mortar enhancing mechanical thermal and microstructural properties. by Mydin, Md Azree Othuman, Azman, Nurul Zahirah Noor, Awoyera, Paul O., Özkılıç, Yasin Onuralp, Fadugba, Olaolu George, Abdullah, Mohd Mustafa Al Bakri, Omar, Roshartini, Datta, Shuvo Dip

“…These results show that BSA can be a green and practical substitute for OPC in lightweight building applications, especially for prefabricated panels, insulation layers, and non-load-bearing walls. Its ability to enhance mechanical strength while reducing thermal conductivity makes it a promising material for energy-efficient and sustainable building solutions.…”
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Kigyezi N'ebyamwo Omu Bugufu Kuruga Omugwa 1500 by Karwemera, Festo

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Yombeka gye Orurimi Rwawe Purayimare 2 B by Karwemera, Festo

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Yombeka Gye Orurimi Rwawe Ekitabo Ky'omwegyesa p1,2,3 by Karwemera, Festo

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Shutama Nkuteekyereze by Karwemera, Festo

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Yeyegyese Orungyereza-Runyankorekiga by Karwemera, Festo

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Omuzaano Oshwera Abuuza by Karwemera, Festo

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Yega Runyankolekiga, English, Rushwahili by Karwemera, Festo

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Kabale University Newsletter: by Sempungu, Godfrey J., Nuwagaba, Collins, Nowamani, Collins, Mwesigwa, Nicole H., Muyingo, Rajab, Ninsiima, Ruth, Niwamanya, Joshua

“…Kwesiga as Chairperson of the National Council for Higher Education, a tribute to the legacy of the 1st Chancellor Prof. George Mondo Kagonyera, and the induction of the 3rd University Governing Council. …”
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Self-competence and preparedness in implementing the Parish Development Model in Uganda: Voices of Parish Chiefs and Community Development Officers by Katusiimeh, Mesharch Walto, Wamara, Charles Kiiza

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