Virtual pharmacy as a component of the electronic educational environment at the Department of Pharmacology in order to increase the clarity and efficiency of assimilation of educa... by Yu. V. Tuzkova, N. P. Vanchakova

“…When collecting data, Google forms were used, which, due to anonymity, made it possible to receive detailed proposals from students for improving the virtual pharmacy and teaching methods using the electronic information educational environment.Conclusion. …”
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Is Oral Communication Apprehension Reasonable?: A Study on Sociocultural Factors Among Indonesian EFL Learners by Haifa Ali Salem Mansoor Al Awlaqi, Imam Ghozali

“…Purposive sampling selected three ninth-grade students from selected private junior high school in Jember, who demonstrated apprehension in oral communication, and two EFL teachers experienced in addressing students' communication apprehension. Data analysis involved Ethnomethodological Conversation Analysis (ECA) and thematic coding. …”
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Evaluating the National University of Lesotho’s Records Management practices with the ISO 15489 by Tankiso A. Thaanyane, Pheladi T. Lefika, Sithembiso Khumalo

“…Method: A qualitative research method using a process evaluation approach was adopted with the employment of interview schedules. Data were analysed through descriptive content analysis with the additional use of thematic analysis. …”
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The Effectiveness of the Green Activity Program in Improving Pro-Environmental Consumer Behavior in Elementary School Students by Deasy Rahmawati, Nana Supriatna, Sapriya Sapriya

“…The N-Gain analysis revealed moderate learning gains, with values between 0.558 and 0.563. …”
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Impact of COVID-19 on the quality of higher education in Pakistan: students’ perspective by Maham Khalid, Aamir Sarwar, Sardar Ahmad, Bushra Rehman

“…The research aimed to explore how COVID-19 impacted higher education quality from students’ perspective and emphasized the need for faculty-student training in online teaching. Data from Lahore’s public and private university students were collected through a detailed questionnaire. …”
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Undergraduate Student Perceptions on Career in the Wake of a Pandemic by Emily L. Winter, Sierra M. Trudel, Aarti P. Bellara, Claire Metcalf, Melissa A. Bray

“…Two open-ended survey questions—(1) what is your intended career, and (2) how (if at all) has the COVID-19 pandemic changed your perspective about your future career—were administered with thematic analysis conducted. Qualitative analysis using hybrid data and theory-driven approaches revealed several themes around an increased desire to work within health-related fields, decreased desire to work in healthcare, non-medical to medical career shift, and additional undecidedness. …”
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Characterizing the Temporal Variation of Airborne Particulate Matter in an Urban Area Using Variograms by Gokul Balagopal, Lakitha Wijeratne, John Waczak, Prabuddha Hathurusinghe, Mazhar Iqbal, Rittik Patra, Adam Aker, Seth Lee, Vardhan Agnihotri, Christopher Simmons, David J. Lary

“…By applying temporal variogram analysis to particulate matter (PM) data over time, we identified specific measurement intervals that accurately reflect fluctuations in pollution levels. …”
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Designing an Organisational Strategic Planning Model in the Iranian Forensic Medicine Organisation by Nastaran Siahchehreh Soraki, Mohammadreza Bagherzadeh, Yousef Gholipour Kanaani, Mojtaba Tabari

“…At both levels, environmental monitoring activities, data interpretation and learning are conducted separately.…”
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A Low-Latency Dynamic Object Detection Algorithm Fusing Depth and Events by Duowen Chen, Liqi Zhou, Chi Guo

“…Moreover, state-of-the-art deep learning methods, which rely on RGB images as input, necessitate training and inference on high-performance graphics cards. …”
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MARSHA: multi-agent RAG system for hazard adaptation by Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, Joshua Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie J. Su, Camillo J. Taylor

“…Abstract Large language models (LLMs) are a transformational capability at the frontier of artificial intelligence and machine learning that can support decision-makers in addressing pressing societal challenges such as extreme natural hazard events. …”
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Predicting lung cancer bone metastasis using CT and pathological imaging with a Swin Transformer model by Wanling Li, Xin Zou, Jie Zhang, Minghong Hu, Guanfeng Chen, Shanshan Su

“…In this study, we developed a multimodal Swin Transformer-based deep learning model for predicting bone metastasis risk in lung cancer patients by integrating CT imaging and pathological data. …”
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Explaining the Quality of Practical Course Education from the Experiences of Students of the Faculty of Health at Hamadan University of Medical Sciences: A Qualitative Phenomenolog... by Mohsen Aliabadi, Parvin Cheraghi, Mehraneh Shabani, Maryam Afshari

“…The interviews continued until the data were saturated. Data analysis was performed using the Diekelmann and colleagues method. …”
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The impact of cross-validation choices on pBCI classification metrics: lessons for transparent reporting by Felix Schroeder, Stephen Fairclough, Frederic Dehais, Matthew Richins

“…Our results exemplify why detailed reporting on data splitting procedures should become common practice.…”
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Child death review: understanding variations in practice using normalisation process theory by Karen Shaw, Sara Kenyon, Anna Pease, Jenna Spry, Joanna Jane Garstang, Gayle Routledge

“…Qualitative data were analysed using directed qualitative content analysis and through a conceptual lens of Normalisation Process Theory.Results Questionnaires were completed by 13 Paediatric Intensive Care Units and 16 palliative care services. 25/29 (86%) held CDR meetings reflecting statutory guidance, 17/29 (59%) routinely informed parents about CDR and 10/29 (28%) shared outcomes with them. …”
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A review of the use of technology in sport coaching: current trends and future directions by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Rina Yuniana

“…Recent trends include the integration of artificial intelligence and machine learning algorithms, utilizing big data analytics, and the development of mobile applications for remote training and athlete monitoring. …”
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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…This research presents a comparative analysis of sleep position recognition using two distinct approaches: image-based deep learning and accelerometer-based classification. …”
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Fractional Optimizers for LSTM Networks in Financial Time Series Forecasting by Mustapha Ez-zaiym, Yassine Senhaji, Meriem Rachid, Karim El Moutaouakil, Vasile Palade

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Completing the “Nurses back to healthcare” training and returning to professional work: a qualitative study of nurses’ experiences by Kadri Kööp, Mare Tupits

“…Methods Semi-structured interviews were conducted to collect data, and an inductive content analysis was performed to analyse data. …”
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Baccalaureate nursing students’ experiences with high-fidelity simulation: protocol for a qualitative systematic review by Xiaoli Chen, Xianbo Pei, Yuxuan Zhu, Cong Geng

“…The two independent reviewers will use the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Qualitative Research to assess the methodological validity, following which the JBI standardised data extraction tools will be used to extract relevant data. …”
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Adolescent Development in Unprecedented Times: A Comparative Study of Theory of Mind Before and After COVID-19 by Meghan L. Maynard, Huma Khalid, Zahra Karimi Valoojerdy, Victoria Talwar, Sandra L. Bosacki

“…Implications for social–emotional learning and future research are discussed.…”
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