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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Performance Disparity in Mathematics between male and female Students in Selected Secondary Schools in Kamuganguzi Subcounty, Kabale District. by Amos, Musimenta

“…Gender has long been considered as a factor contributing to differences in performances of male and female students in all cycles of learning. Although male and female students are taught together in the same classes countrywide, there have been differences in academic performance in Mathematics. …”
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Editorial by Daniel Halliday

“…These facts also remind us that while the study of inherited wealth owes much of its motivation to a concern to work out the degree to which it is compatible with justice, much can be learned from an interdisciplinary approach in which the tools of political philosophy are combined with those of the social sciences. …”
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Performance evaluation and prediction of optimal operational conditions for a compact date seeds milling unit using feedforward neural networks by Khaled Abdeen Mousa Ali, Changyou Li, Wang Han, Sali Issa, Mohamed Hamdy Eid, Samy F. Mahmoud, Marwa Abd-Elnaby Mohammed

“…This research pioneers the application of machine learning in optimizing date seed processing, potentially revolutionizing agricultural waste valorization and opening new avenues for sustainable resource utilization.…”
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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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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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Regulatory signatures involved in the cell cycle pathway contribute to egg production heterosis in chicken by Jingwei Yuan, Yuanmei Wang, Yanyan Sun, Yunlei Li, Aixin Ni, Qin Li, Hanhan Yang, Xinying Xu, Yunhe Zong, Hui Ma, Jilan Chen

“…Results In present study, we measured the continuous manifestation of heterosis ranging from 2.67% to 10.24% for egg number in the crossbreds generated by reciprocal crossing White Leghorn and Beijing You chicken. The high-quality transcriptomes of ovary for purebreds (WW and YY) and crossbreds (WY and YW) in 5 laying stages were sequenced and integrated to identify regulatory networks relevant to the heterosis. …”
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The utilization of technology in environmental education by Hamida Nurul Azizah

“…Digital technology has enhanced connectivity between learners and the natural environment to create innovative digital learning tools. Therefore, the identified technology can be used to optimize the environmental education process. …”
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Single-cell transcriptome-wide Mendelian randomization and colocalization reveals immune-mediated regulatory mechanisms and drug targets for COVID-19Research in context by Hui Ying, Xueyan Wu, Xiaojing Jia, Qianqian Yang, Haoyu Liu, Huiling Zhao, Zhihe Chen, Min Xu, Tiange Wang, Mian Li, Zhiyun Zhao, Ruizhi Zheng, Shuangyuan Wang, Hong Lin, Yu Xu, Jieli Lu, Weiqing Wang, Guang Ning, Jie Zheng, Yufang Bi

“…For pathway analyses, we found the putative causal genes were enriched in natural killer (NK) recruiting cells but de-enriched in NK cells. Using a deep learning model, we found 107 (81%) of the putative causal genes (41 novel genes) were predicted to interact with SARS-COV-2 proteins. …”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…ObjectiveThis study aims to use BERTopic (a topic modeling technique that is an extension of the Bidirectional Encoder Representation from Transformers machine learning model) to explore the perceptions of online cancer communities regarding immunotherapy. …”
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Plant Species Composition and Community Perception Towards Landscaping Work Executed at Hawassa University-Main Campus, Ethiopia by Birhanu Kagnew, Firew Kebede

“…In general educational institutions landscaping need to be encouraged to enhance the teaching-learning process, and to make the working environment attractive. …”
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Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“…The associated maximum clinical and economic gains were estimated at up to 4 422 284 bed days saved, up to 3 645 480 defined daily doses of antibiotics avoided, up to ¥117.6 billion (US $1.1 billion) saved in hospitalization costs, and a net monetary benefit of up to ¥18.1 trillion (US $169.8 billion). **Discussion:** Learnings from this study can be used by the Japanese government to help inform decision-making on the strategies that may be included in the upcoming National AMR Action Plan and facilitate allocation of the required budget. …”
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Role of Career Counselling in Medical Profession: Perceptions of Medical Students by Hina Ahmed, Abdullah Yousaf, Muhammad Ahmed, Muhammad Tauqeer Akhtar

“…Methodology: It was a cross sectional study done between April and October 2023, where140 medical students from Central Park Medical College, Lahore were enrolled via convenience sampling. After receiving formal IRB approval, data was collected via self-designed google forms and WhatsApp groups from MBBS students in their first to final academic year who volunteered to participate after piloting with Cronbach Alpha score of 0.81. …”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

“…Recent advances in deep learning (DL) models have shown promise in overcoming potential challenges in identifying Arabic dialects. …”
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Роль искусственного интеллекта в прогнозировании трудных дыхательных путей у взрослых: обзор литературы... by Андрей Юрьевич Зайцев, А. Б. Сорокин, Ю. А. Зайцев, К. В. Дубровин, Э. Г. Усикян

“…Поисковыми словами для англоязычных баз данных были artificial intelligence, deep learning, difficult airways; для русскоязычных — искусственный интеллект, глубокое машинное обучение, трудные дыхательные пути. …”
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Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis: Literature Review by Gregory J Downing, Lucas M Tramontozzi, Jackson Garcia, Emma Villanueva

“…Leveraging advancements in machine learning, researchers have explored linking search data with health records to enhance screening and outcomes. …”
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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…Due to kernel-based learning necessity in NTES, embedding the radial basis function (RBF), dynamic time warping (DTW), and polynomial (POL) kernels into dual HCs is on the agenda. …”
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Sensation seeking and risk adjustment: the role of reward sensitivity in dynamic risky decisions by Yin Qianlan, Chen Shou, Hou Tianya, Dong Wei, Taosheng Liu

“…By integrating the reinforcement learning model and neural measures obtained from dynamic risk-taking tasks, we aim to explore how these personality traits influence individual decision-making processes and engagement in risk-related activities. …”
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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

“…Using these features, four machine learning (ML) algorithms were developed. The optimal model was visualized and clarified using SHapley Additive exPlanations (SHAP) and presented as a nomogram. …”
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Rancang Bangun Website Akademik dengan Penyimpanan Sertifikat Digital Menggunakan Teknologi Blockchain by Windra Swastika, Hermawan Wirasantosa, Oesman Hendra Kelana

“…Abstract A certificate is a form of appreciation that a person receives after completing a certain competency or learning test. Certificates must be created and stored with good methods and security to prevent changes in content or even forgery. …”
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