Next-Generation Computational Approaches for Biological Network Analysis by Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, Ahsan Jamal Memon, Muhammad Talha Nasir, Arleen Yousuf

“…We cover sequence-based approaches, such as homology, domain, and motif-based methods, as well as structure-based methods like structural alignment, comparison, and interface-based prediction. …”
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Innovative Mobile App (CPD By the Minute) for Continuing Professional Development in Medicine: Multimethods Study by Peter Slinger, Maram Omar, Sarah Younus, Rebecca Charow, Michael Baxter, Craig Campbell, Meredith Giuliani, Jesse Goldmacher, Tharshini Jeyakumar, Inaara Karsan, Janet Papadakos, Tina Papadakos, Alexandra Jane Rotstein, May-Sann Yee, Asad Siddiqui, Marcos Silva Restrepo, Melody Zhang, David Wiljer

“…The literature has highlighted the strength of using question-based learning interventions to augment physician learning and further enable change in practice. …”
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From Info Seeker to Startup Superhero: How Information Literacy Influences Entrepreneurial Intention and Skills Among Business Students by Iqra Bashir, Talha, Muhammad Asif Naveed, Muhammad Zaheer Asghar, Samma Faiz Rasool

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Evaluation of the Kirkpatrick Model Program at the Workshop on the Implementation of the Independent Curriculum of Luwu State Islamic High School by Abdul Zahir, Masluddin Masluddin

“…This study is an evaluation study with a mixed method approach using the Krikpatrick Model, where there are four levels measured, namely the reaction level, learning level, behavior level, and outcome level. …”
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Instrumental practice to shape character: Educational possibilities from a perspective of musical craftsmanship by David González Llopis

“…Through a concept of music practice based on craftsmanship, music and education can be used to influence the individual positively. …”
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Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support Vector Machine (SVM) by Primandani Arsi, Retno Waluyo

“…Application of sentiment analysis using machine learning methods shows that there are several methods that are often used. …”
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Microscopy without a microscope? Opportunities and limitations of dental studies in anatomy during the COVID-19 pandemic in Germany [version 3; peer review: 2 approved, 1 approved... by Ann-Kathrin Peters, Elisabeth Witt, Karsten Winter, Sabine Löffler, Hubert-Mario Kuntzsch

“…Methods This is an educational research study. The students’ subjective experiences are measured with the help of an evaluation survey and the learning success was objectively measured using a digital assessment course. …”
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PENGARUH MODEL PBM BERBANTUAN MEDIA CERITA DIGITAL TERHADAP PRESTASI BELAJAR FISIKA by Poni Ariramdani Fariansyah, I Wayan Santyasa, Ni Ketut Rapi

“…This shows that the digital story-based problem-solving learning model has a positive impact on the students’ physics learning achievement.…”
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Assessing Courseware: Insights From Medical Students on Textbook Efficacy in Palestinian Medical Contexts by Abedalkarim Ayyoub, Oqab Jabali, Firas Daraghmih, Shaden Jabali

“…Methods Data were collected from 216 medical students at a Palestinian university using a structured questionnaire. …”
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The Role of Islamic Religion Teachers in Overcoming Egocentrism Among Students at Madrasah Ibtidaiyah Ibrahimy Sukorejo by Alfina Wildatul Fitriyah, Moh. Bahzar, Wingkolatin Wingkolatin, Siti Munawati, Indah Wahyu Ningsih, Yunita Abdullah Aji

“…The results showed that religion teachers have an important role in instilling moral and ethical values through interactive teaching methods. The strategies applied include example-based learning, group discussions, and social activities that prioritize empathy and cooperation. …”
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Automatic question-answering modeling in English by integrating TF-IDF and segmentation algorithms by Hainan Wang

“…The improved model leverages a term frequence-inverse document frequency approach and an unsupervised participle algorithm based on deep learning. The precision and promptness of the question-answering model were enhanced by refining the weighted allocation of the term frequence-inverse document frequency algorithm and the unsupervised word-splitting algorithm. …”
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Psychological pathways in enterprise participation in university-industry collaboration: how does social cognitive theory explain participation willingness? by Jun Liu

“…This study constructs an analytical framework based on social cognitive theory to systematically examine how multiple cognitive factors and environmental factors influence enterprise decision-making in UIC participation.PurposeTo reveal how observational learning, self-efficacy, outcome expectations, and policy support jointly influence enterprises’ decision-making process in UIC participation, and to explore the moderating role of organizational characteristics in this process.MethodsThrough a questionnaire survey of 300 enterprises in China’s coastal regions, this study employed Structural Equation Modeling (SEM) to analyze the influence mechanisms of observational learning, self-efficacy, outcome expectations, and policy support on enterprises’ willingness to participate in UIC.ResultsThe research found that: (1) observational learning, self-efficacy, and outcome expectations have significant positive impacts on enterprise participation willingness (β = 0.285, 0.312, 0.356, p < 0.001), with outcome expectations showing the strongest direct effect; (2) risk and cost perceptions significantly inhibit participation willingness (β = −0.245, p < 0.001), this indicates enterprises carefully weigh potential benefits against perceived risks when making UIC participation decisions; (3) policy support indirectly promotes participation willingness by enhancing enterprise self-efficacy (β = 0.298, p < 0.001); (4) enterprises’ innovation capabilities and resource endowments positively moderate the relationship between policy support and participation willingness (β = 0.187, p < 0.01).ConclusionThis research extends the application of social cognitive theory in inter-organizational collaboration research, provides empirical evidence for policy design and enterprise practice, and emphasizes the need to enhance UIC effectiveness through capacity building, differentiated policy support, and risk management.…”
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Enhancing clinical skills in geriatrics: high-fidelity simulated scenarios for fourth-year medical students by Sophie Lansley, Aditya Maney

“…Conclusion: High-fidelity simulations are an effective tool for enhancing medical students' competence in managing complex geriatric cases. The positive feedback highlights the programme’s impact on student learning and engagement. …”
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Does environmental, social, and governance news coverage affect the cost of equity? A textual analysis of media coverage by Haixu Yu, Chuanyu Liang, Weiran Wang, Xinglin Liu

“…This paper investigates how ESG-related media coverage affects the cost of equity, with a focus on how improved information transparency can influence firms’ financing outcomes.MethodsWe construct an ESG performance index using a machine learning approach, based on ESG-related news text data and the level of media attention received by listed companies. …”
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FOSTERING CRITICAL THINKING AND GLOBAL AWARENESS THROUGH INNOVATIVE ASSESSMENT IN HIGHER EDUCATION by Khadidja Samira ZITOUNI

“…The study focuses on alternative assessment strategies such as project-based learning, digital portfolios, and peer assessments. …”
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A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing by Mritunjay Ranjan, Sanjay Tiwari, Arif Md Sattar, Nisha S. Tatkar

“…Data-driven sentiment analysis is three-tiered: document-level sentiment analysis determines polarity and sentiment, aspect-based sentiment analysis assesses document segments for emotion and polarity, and data-driven (DD) sentiment analysis recognizes word polarity and writes positive and negative neutral sentiments. …”
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Basic Training in Palliative Medicine for Internal Medicine Residents: Pilot Testing of a Canadian Model in Switzerland by Andreas Samuel Ebneter, Ebru Kaya, Petra Mair, Barbara Affollter, Steffen Eychmueller

“…Objective: To pilot two versions of a PC nonspecialist curriculum for IM residents in Swiss PC units. Methods: In the pilot phase, two curricula—short immersion (3–10 weeks, based on the University of Toronto's Internal-Medicine PC Rotation) and standard nonspecialist (11–18 weeks, based on the Canadian Society of Palliative Care Physician Competencies)—were assessed using a mixed-method online survey. …”
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Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence by David Peiris, James O'Donovan, Niall Winters, Shobhana Nagraj, Laurenz Langer, Promise Nduku, James Robson, Pallab Maulik, Chris Paton

“…Introduction This paper maps the evidence published between 2000 and 2018 on the use of mobile technologies to train community health workers (CHWs) in low- and middle-income countries (LMICs) across nine areas of global healthcare, including the neglected areas of disability and mental health.Methods We used an evidence mapping methodology, based on systematic review guidelines, to systematically and transparently assess the available evidence-base. …”
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“It shows that I belong”: a qualitative study assessing birth companionship of choice in a maternity clinic in Freetown, Sierra Leone by Olivia Munson, Joan H. Shepherd, Abubakarr Lewally, Foday Musa Janneh, Stefanie Theuring

“…Companions revealed that they were learning about facility-based delivery through companionship and sharing their positive experiences with their community. …”
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Effectiveness of AdaBoost and XGBoost Algorithms in Sentiment Analysis of Movie Reviews by I Gusti Ayu Nandia Lestari, Ni Made Rai Masita Dewi, Komang Gita Meiliana, I Komang Agus Ady Aryanto

“…Therefore, this study develops a sentiment analysis model to identify whether a review contains positive or negative sentiment using machine learning algorithms. …”
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