Occupational Safety and Health Policy by Kabale University

“…Kabale University strives to provide a healthy and safe working and learning environment. This is not just a moral and legal responsibility but also a preliquisite for it to achieve its primary mission to teach, conduct research and promote community outreach at the highest standards through the attraction and retention of high quality staff, students and other working partners. …”
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Perceived effects of the hidden curriculum of return to entrepreneurship with the mediation of goal orientation by Ahmad KarimiDashtaki, Mohammadbagher Akbarpour Zangalani

“…The hidden curriculum is the learning that students learn during their time in the institution outside of the official curriculum and from the behaviors and attitudes of their professors (Lalezari & Kakamanshadi, 2023). …”
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Causal Discovery of Flight Service Process Based on Event Sequence by Qian Luo, Lin Zhang, Zhiwei Xing, Huan Xia, Zhao-Xin Chen

“…Most ground support studies mainly use machine learning methods to predict flight delays, and the flight support model they are based on is an ideal model. …”
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Intuitive stent simulation with internal cavity airway models created by a consumer-grade three-dimensional printer: A case series by Naoya Kitamura, Toshihiro Ojima, Yoshifumi Shimada, Keitaro Tanabe, Ryo Yokoyama, Naru Kitade, Koichiro Shimoyama, Tomoshi Tsuchiya

“…Airway stenting, which can cause life-threatening complications, requires advanced techniques as well as safe and reliable procedures. Learning effective techniques and accurately identifying and simulating malignant airway stenosis before the procedure are crucial. …”
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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

“…Shapley Additive exPlanation was applied for interpretable ensemble learning.ResultsThe HDE-Stacking identification model achieved 97.78% accuracy. …”
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Student nurse education and preparation for palliative care: A scoping review. by Abiola Durojaiye, Ruth Ryan, Owen Doody

“…Educational models utilised were theoretical and experiential learning and educational process, early integration and multiple learning methods which were highlighted as facilitating factors. …”
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Developing the data management component of an academic discipline program for an educational management information system by Ju. V. Starichkova, I. E. Rogov, V. S. Tomashevskaya

“…The classification of learning management systems according to various criteria, key requirements for academic disciplines, and ADP structure is considered.Results. …”
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Mechano-gated iontronic piezomemristor for temporal-tactile neuromorphic plasticity by Xiao Wei, Zhixin Wu, Hanfei Gao, Shiqi Cao, Xue Meng, Yuqun Lan, Huixue Su, Zhenglian Qin, Hang Liu, Wenxin Du, Yuchen Wu, Mingjie Liu, Ziguang Zhao

“…By micro-integrating the mechanogate with an oscillatory iontronic memristor, it exhibits stiffness-induced bipolarized excitatory and inhibitory neuromorphics, thereby enabling the activation of temporal-tactile memory and learning functions (e.g., Bienenstock–Cooper–Munro and Hebbian learning rules). …”
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A pilot study on diabetes detection using handheld fundus camera and mobile app development by Hamada R. H. Al-Absi, Gilbert Njihia Muchori, Saleh Musleh, Syed Abdullah Basit, Mohammad Tariqul Islam, Younss Ait Mou, Tanvir Alam

“…Subsequently, we developed a deep learning model for early diagnosis of diabetes based on fundus image only. …”
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Research on the Spatial Network Connection Characteristics and Influencing Factors of Chengdu–Chongqing Urban Agglomeration from the Perspective of Flow Space by Yangguang Hao, Zhongwei Shen, Jiexi Ma, Jiawei Li, Mengqian Yang

“…Based on the results of the SOM neural network machine learning model, the connectivity capabilities of cities within the CCUA are divided into five levels. …”
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation by Mayr W, Triantafyllopoulos A, Batliner A, Schuller BW, Berghaus TM

“…We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation. …”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The practical significance lies in the fact that the use of information and communication technologies and gamification of the learning process motivates to gain knowledge and encourages learning not only due to the game strategy, but also due to the fact that the child receives approval and the opportunity to perform the task again so to improve skills. …”
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A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone by Seung-Won Seo, Gyumin Choi, Ho-Jin Jung, Mi-Jin Choi, Young-Dae Oh, Hyun-Seok Jang, Han-Kyu Lim, Seongil Jo

“…These findings underscore the potential of advanced machine learning techniques in enhancing aquaculture practices and offer a robust framework for managing complex, multi-variable systems in sustainable farming.…”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Noise profoundly affects the quality of electromagnetic data, and selecting the appropriate hyperparameters for machine learning models poses a significant challenge. Consequently, the current machine learning denoising techniques fall short in delivering precise processing of Wide Field Electromagnetic Method (WFEM) data. …”
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Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid S... by Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth

“…Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. …”
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Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare by Marina Ramzy Mourid, Hamza Irfan, Malik Olatunde Oduoye

“…Search terms encompassed “pediatric epilepsy,” “artificial intelligence,” “machine learning,” “ethical considerations,” and “data security.” …”
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Explainable surrogate modeling for predicting temperature separation performance of the vortex tube by Hyo Beom Heo, Jun Ho Lee, Jeong Won Yoon, Sangseok Yu, Byoung Jae Kim, Seokyeon Im, Seung Hwan Park

“…Therefore, this study aims to develop a general surrogate model for predicting the performance of the vortex tube using symbolic regression, a representative white-box machine learning model. A white-box machine learning model is one that allows users to understand how it was able to produce its output. …”
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Construction and effect of interactive teaching methods in the college badminton classroom using fuzzy-assisted virtual reality modeling: a case study in Chinese universities by Yinghao Li, Mohd Jawis

“…Fuzzy-assisted  VR badminton classes provide several potential benefits for Badminton Students' learning abilities, including repeated practice and understanding of essentials, adjusting posture and mastering the knack, teamwork and mutual support, and promoting motivation and learning. …”
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Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis by Robert A Verheij, Niek Klazinga, Erica Barbazza, Lotte Ramerman, Dionne Kringos

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DIGITAL AND NON-DIGITAL GAMES IN YOUNG LEARNER EFL CLASSROOMS AT WARTIME IN UKRAINE by Ilona Huszti, Enikő Nagy-Kolozsvári, Márta Fábián

“… The present study aims to investigate the gaming habits of young learners (YLs) in the process of learning English as a foreign language and examine the role non-digital or conventional and digital games play in teaching English to young learners. …”
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