Factors Hindering the Proper Management of Academic Libraries in Kabale Municipality: A Case Study of the Uganda Martyrs University Kabale Campus Library. by Oliva, Arineitwe

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Impact of Continuous Assessment on Pupils’ Academic Performance in Primary Schools in Kabale Municipality Kabale District. by Tibasiima, Margret

“…The study recommended that good application of continuous assessment using different strategies would help in moving towards accomplishing learning objectives and restoring greater confidence in the class and school systems.…”
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Contribution of Universal Primary Education Towards Girl Child Education in Kitumba Sub-County Kabale District. by Ishimwe, Jonan

“…These measures aim to create a more supportive learning environment and ensure that the benefits of UPE lead to long-term educational success for girls in Kitumba Sub County.…”
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Impact of Social Classes on Academic Performance of Pupils in Public Primary Schools in Kabale District. by Ampeire, Justus

“…Additionally, 36.6% of respondents highlighted the source of basic needs as a significant influence, while other factors included maximization of profits (30.5%), improved learning activities (14%), good quality education (9.8%), and other aspects (8.5%). …”
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Impact of Continuous Assessment on Pupils’ Academic Performance in Primary Schools in Kabale Municipality, Kabale District by Asaph, Aturinzire

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TAME 2.0: expanding and improving online data science training for environmental health research by Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager

“…Training topics were prioritized based upon ongoing engagement with trainees, professional colleague feedback, and emerging topics in the field of environmental health research (e.g., artificial intelligence and machine learning). TAME 2.0 is a significant expansion upon the original TAME training resource pilot. …”
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Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine by Ningsang Jiang, Peng Li, Zhiming Feng

“…The integration CCDC with SVM represents a novelty in combining time series analysis and machine learning techniques and helps monitor annual swidden agriculture in the tropics.…”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…The system incorporates an Autoregressive Moving Average-Generalized AutoRegressive Conditional Heteroskedasticity model that offers an interpretability advantage over machine-learning methods. The main strength of the AATS is its ability to allow the embedded hybrid forecasting model to adapt to the changing environments that characterize EMs. …”
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Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result by Michael J. Morris, Sheila A. Habib, Maggie L. Do Valle, John E. Schneider

“…**Objectives:** This study evaluated the potential cost savings for US payers of CyPath® Lung, a novel diagnostic tool utilizing flow cytometry and machine learning for the early detection of lung cancer, in patients with positive LDCT scans with indeterminate pulmonary nodules (IPNs) ranging from 6 to 29 mm. …”
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A longitudinal study on the professional identity formation of health promotion practitioners: evidence from undergraduate students in Switzerland by Verena Biehl, Verena Biehl, Andreas Bänziger, Frank Wieber, Frank Wieber

“…Given the importance of a strong PI, the following interventions are suggested to strengthen health promotion students’ PI: (1) incorporating PI formation as a learning objective within curricula, and (2) enhancing the visibility and clarity of health promotion’s professional profile within undergraduate studies and in society. …”
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Multi-organ frailty is enhanced by periodontitis-induced inflammaging by Yoshitaka Kase, Satoru Morikawa, Yuji Okano, Tatsuya Hosoi, Takazumi Yasui, Yoko Taki-Miyashita, Mitsutaka Yakabe, Maraku Goto, Kazuyuki Ishihara, Sumito Ogawa, Taneaki Nakagawa, Hideyuki Okano

“…Cognitive function assessment revealed increased activated microglia and decreased adult neurogenesis in the hippocampus, impairing spatial learning. Thus, periodontitis induced both physical and cognitive frailties. …”
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A data-driven intelligent fault diagnosis framework for permanent magnet in PMSM by Huizhen Wang, Lei Wang, QiYa Wu, Haoying Pei, Lijun Diao

“…Furthermore, ensemble learning integrates the outputs of multiple base learners to enhance generalization. …”
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Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
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Lithuanian Language at School: Scientific Insights and Pedagogical Experience by Ona Laima Gudzinevičiūtė, Džiuljeta Maskuliūnienė

“…The field of topics is broad, discussions include: general language, dialects, language norming, language in the digital space, language didactics, the process of language teaching and learning, and the effects of bilingualism. The articles in the literature section are divided into five thematic blocks: 1) Promotion of reading, professional press for teachers; 2) Lithuanian writers’ works in school, concerns of reading classics; 3) Children’s literature and school; 4) Working with the text to prepare the future reader; 5) Non-traditional literature teaching methods and other problems. …”
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Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer by Rui Wu, Kunchen Wei, Xingshuai Huang, Yinge Zhou, Xiao Feng, Xin Dong, Hao Tang

“…Finally, potential biomarkers were picked out by applying machine learning methods including random forest and stepwise regression and prediction models were constructed by logistic regression.ResultsThe presence of metabolites and proteins in peripheral blood plasma was causally associated with both non-small cell lung cancer and PD-L1/PD-1 expression levels. …”
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MicroRNA-155 modulates methotrexate-induced spatial memory impairment by disruption of the blood-brain barrier integrity by Yu-Chieh Chen, Li-Tung Huang, Hong-Ren Yu, Jiunn-Ming Sheen

“…Besides, IP MTX resulted in impaired learning acquisition, which can be reversed by anti-miR155 treatment. …”
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Predicting Solar Energetic Particle Events with Time Series Shapelets by Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

“…Our objective is to mitigate the interpretability challenges inherent to most machine learning models and to show that other methods exist that can not only yield accurate forecasts but also facilitate exploration and insight generation within the data domain. …”
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The philosophical foundations of digital twinning by David J Wagg, Christopher Burr, Jason Shepherd, Zack Xuereb Conti, Mark Enzer, Steven Niederer

“…We also argue that digital twins naturally include aspects relating to the philosophy of artificial intelligence, including learning and exploitation of knowledge. We discuss the following four questions (i) What is the distinction between a model and a digital twin? …”
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