Stress factors among physiotherapy students at a university in Gauteng, South Africa by Zander I. Collins, Chané Siepker, Kelebogile J. Ralehlaka, Boitshoko C. Molefe, Tiisetso C. Phala, Simphiwe A. Vilankulu, Makwena M. Sibuyi, Thembelihle S. Ntuli

“…Contribution: The study adds to the body of knowledge pertaining to the mental health of students at higher institutions of learning.…”
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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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From Disruption to Reconstruction: Implementing Peer Support in Homelessness During Times of Crisis for Health and Social Care Services by Mathieu Isabel, Daniel Turgeon, Émilie Lessard, Andreea-Cătălina Panaite, Gwenvaël Ballu, Odile-Anne Desroches, Ghislaine Rouly, Antoine Boivin

“…Results: Three main learning points are of interest regarding implementation: 1) crises can precipitate challenges but also particular opportunities for the implementation of peer support initiatives in homelessness; 2) even during a crisis, certain key steps cannot be skipped when the goal is a successful implementation; and 3) research can be an external asset for clinical teams as they struggle to deliver care during periods of crisis. …”
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Developing a medication-safety self-assessment tool for rural primary care units - a case from Finnish Lapland by Päivi Sova, Ercan Celikkayalar, Sami Sneck, Anna-Riia Holmström

“…The included 144 statements were divided into 12 thematic sub-groups: (1) Patient information, (2) Drug information, (3) Communication of drug orders and other drug information; (4) Drug labeling, packaging and nomenclature; (5) Drug storage and distribution, (6) Medication device acquisition and use, (7) Environmental factors, workflow and staffing patterns; (8) Staff competency and education, (9) Patient education, (10) Preventive risk management, 11. Learning from medication safety incidents, and 12. …”
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A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD by Saeedeh Komijani, Dipak Ghosal, Manpreet K. Singh, Julie B. Schweitzer, Julie B. Schweitzer, Prerona Mukherjee, Prerona Mukherjee

“…We utilized a hierarchical clustering technique to mitigate these collinearity issues and implemented a non-parametric machine learning (ML) model to predict the significance of symptom relations over time. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Assessing the Impact of Traffic Emissions on Fine Particulate Matter and Carbon Monoxide Levels in Hanoi through COVID-19 Social Distancing Periods by Nhung H. Le, Bich-Thuy Ly, Phong K. Thai, Gia-Huy Pham, Ich-Hung Ngo, Van-Nguyet Do, Thuy T. Le, Luan V. Nhu, Ha Dang Son, Yen-Lien T. Nguyen, Duong H. Pham, Tuan V. Vu

“…To overcome this challenge, weather normalized concentrations of those pollutants were estimated using the random forest model, a machine learning technique. The normalized weather concentrations showed smaller reductions by 7–10% for PM2.5 and 5–11% for CO, indicating the presence of favorable weather conditions for better air quality during the social distancing period. …”
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DEVELOPMENT OF CLIP THINKING OF HIGHER EDUCATION STUDENTS IN INFORMATION ENVIRONMENT by Sergey Bushuyev, Halyna Korchova, Yurii Krasylnyk, Mykola Rudenko, Borys Kozyr

“….), ensuring an individual approach to the organization of educational and cognitive activities, taking into account the motives, needs and opportunities of higher education seekers, the variability of the selection of IT learning technologies and their combination. …”
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Risk prediction models for dysphagia after radiotherapy among patients with head and neck cancer: a systematic review and meta-analysis by You Pu, Jin Yang, Lian Shui, Qianlong Tang, Xianqin Zhang, Guangguo Liu

“…Of these models, most were constructed based on logistic regression, while only two studies used machine learning methods. The area under the receiver operating characteristic curve (AUC) reported values for these models ranged from 0.57 to 0.909, with 13 studies having a combined AUC value of 0.78 (95% CI: 0.74-0.81). …”
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Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…For this purpose, we have developed a novel deep learning analysis framework, based on data-driven anomaly detection techniques. …”
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A Digital-based Talent Acquisition Framework for Start-ups: A Qualitative Multiple Case Study by Mohammad Hosein Kenarroodi, Hasan Boudlaie

“…The final stage of research coding identified ten key themes for talent acquisition in startups, including: taking an aggressive approach to talent acquisition, creating a strong employer brand, managing relationships with talents, identifying risks in talent selection, designing selection criteria and methods, determining selection quality, setting onboarding timelines, and developing learning methods and content for onboarding.     Conclusion Drawing from the identified themes, this study proposes three digitalization-driven strategies to enhance talent acquisition in startups: talent recruitment, talent selection, and onboarding processes. …”
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Budgetary Factors and the Quality of Education Service Delivery in Public Secondary Schools in Northern Division Kabale District. by Atwongyeire, Redeemer

“…Some respondents also showed that students have access to up-to-date textbooks and learning materials. Teachers have the necessary teaching aids and resources. …”
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Assessment of Teachers’ Turnover and its Impact on Academic Performance in Government Aided Secondary Schools of Kayonza Sub-County Kanungu District. by Biryomumeisho, Gideon

“…Respondents indicated that the frequent changes in teaching staff disrupt the continuity of learning, weaken teacher-student relationships, and ultimately hinder students’ academic progress. …”
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A Program for Postgraduate Diploma in Monitoring and Evaluation (PGDME) by Kabale University

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Citizen engagement in public food procurement, a novel choose-your-own-adventure canteen campaign case study by Luke John Schafer, Anna Gundorph, Carla Mingolla, Christian Bugge Henriksen, Marin Lysak, Reni Todorova Boncheva, Maarten Crivits

“…Citizen engagement is an often-overlooked tool that can facilitate food system change with its participatory approaches leading to distributed learning and decentralised knowledge generation. Together with key stakeholders, this study combines both Public Food Procurement practices with citizen engagement strategies to facilitate the transformation to more sustainable food in local canteens at the University of Copenhagen. …”
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Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study by İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

“…OpenAI’s ChatGPT is a supervised and empowered machine learning-based chatbot. The aim of this study was to determine the performance of ChatGPT in emergency medicine (EM) triage prediction. …”
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Aksi Penyerangan Non-Player Character (NPC) Menggunakan Metode Naive Bayes pada Shooter Game by Edi Siswanto, Alfa Faridh Suni

“…Untuk mengatasi masalah tersebut banyak peneliti yang menggunakan teknik learning. Salah satunya menggunakan metode naïve bayes. …”
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PENGEMBANGAN E-MODUL BERBASIS WEB SEBAGAI BAHAN AJAR FISIKA PADA MATERI GELOMBANG BUNYI DI SMA by Miya Novitasari, Connie Connie, Eko Risdianto

“…At the design stage consists of choosing learning media, choosing the format of teaching materials, and the initial design of electronic teaching materials. …”
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Clinical anxiety among a sample of dental students in South Sinai by Christine Raouf George Mikhail, Mai Hamdy Ragab, Yousra Ahmed, Eman D. El Desouky, Fatma E. A. Hassanein, Mohamed Bekhit, Marwa Hassan Mostafa

“…Abstract Background Anxiety may be induced in the dental clinics, which is an essential learning environment for undergraduate dental students. …”
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Game Edukasi Pengenalan Sistem Isyarat Bahasa Indonesia (SIBI) Menggunakan Myo Armband pada Arsitektur Client Server by Rizky Yuniar Hakkun, M. Rizky, Buchori Rafsanjani

“…The current SIBI introduction and learning application is an application tied to the platform. …”
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