Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases by Daniele del Re, Luigi Palla, Paolo Meridiani, Livia Soffi, Michele Tancredi Loiudice, Martina Antinozzi, Maria Sofia Cattaruzza

“…<b>Conclusions</b>: This novel approach, combined with a machine learning predictive approach, could be a powerful public health tool to signal the start of disease outbreaks and monitor the spread of infectious diseases.…”
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Variative Components of the University Course of Mathematical Analysis: The Experience of Introduction into the Practice of Teaching by S. I. Кalinin, L. V. Pankratova

“…The results of the formation of professional competencies of future graduates obtained during pedagogical measurements (questionnaires, surveys of students, observation of their educational and research achievements) confirmed the effectiveness of using the designed variable components of the discipline “Mathematical Analysis” in the learning process.Practical significance. The research material and the authors’ conclusions described in the present article can be useful for methodologists of higher school and teachers of mathematics interested in improving the quality of mathematical training in universities.…”
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The trends of lung cancer burden in BRICS from 1990 to 2021 and its projection to 2035 by Yifan Wang, Jingwen Zhu, Shaoqiang Wang, Jihong Zhou

“…At the same time, many BRICS lung cancer prevention and control measures are worth learning from other developing countries.…”
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How to evaluate a multi-country implementation-focused network: Reflections from the Quality of Care Network (QCN) evaluation. by Gloria Seruwagi, Mike English, Nehla Djellouli, Yusra Shawar, Kasonde Mwaba, Abdul Kuddus, Agnes Kyamulabi, Kohenour Akter, Catherine Nakidde, Hilda Namakula, Mary Kinney, Tim Colbourn, QCN Evaluation Group

“…Learning about how to evaluate implementation-focused networks is important as they become more commonly used. …”
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THE DIGITAL FRONTIER: STRATEGIES AND TOOLS FOR CULTIVATING EDUCATIONAL-STRATEGIC COMPETENCE  FOR PRE-SERVICE TEACHERS by Vira Svyrydiuk, Ostap Bodyk, Larysa Kalinina, Nataliya Prokopchuk, Nina Khrystych

“…The article presents metacognitive, cognitive, and communicative learning strategies based on the utilization of digital tools in detail. …”
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Numerical Methodologies for the Analysis of Horizontal-Axis Floating Offshore Wind Turbines (F-HAWTs): A State-of-the-Art Review by Naghmeh Akbari Zadeh, Peter Ryan, David M. Kennedy, Fergal O’Rourke

“…The successful large-scale development of floating offshore wind farms will require significant expertise and learning from the onshore wind, oil, and gas sectors. …”
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Keefektifan Metode Practice Rehearsal Pairs dan Media Animasi Powtoon Pada Keterampilan Bercerita (The Effectiveness of the Practice Rehearsal Pairs Method and Powtoon Animation Me... by Arya Aqshal Prasetya, Rusnilawati Rusnilawati

“…Storytelling skills in learning Indonesian for the two classes are slightly different. …”
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Hybrid Quality-Based Recommender Systems: A Systematic Literature Review by Bihi Sabiri, Amal Khtira, Bouchra El Asri, Maryem Rhanoui

“…This study employs ASReview, an open-source application that uses active learning to help academics filter literature efficiently. …”
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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

“…The HM is made up of a Bayesian model averaging (BMA) and three machine learning models: random forest (RF), support vector machine (SVM), and artificial neural network. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

“…Support vector machines as a classical machine learning method outperformed the non-contextual fastText approach. …”
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The use of artificial intelligence in adapting process of UI design system for end customer requirements by Kyrylo Polishchuk, Eugene Brezhniev

“…Careful consideration is given to the selection of datasets, ensuring that they meet rigorous criteria for evaluating the quality and efficacy of artificial intelligence learning. These criteria encompass factors such as data relevance, diversity, and representativeness, as well as considerations for ethical and legal compliance. …”
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Recommendations for improving accessibility of digital health interventions for cardiometabolic disease for ethnically diverse populations by Mel Ramasawmy, Nushrat Khan, David Sunkersing, Madiha Sajid, Shivali H Modha, Manoj Mistry, Wasim Hanif, Fiona Stevenson, Kiran Patel, Kamlesh Khunti, Paramjit Gill, Lydia Poole, Amitava Banerjee

“…Discussions covered four areas: actions to support individuals to access and benefit from DHIs; translating learning about inclusive design into practice; the role of regulation and evaluation to improve inclusivity of DHIs used within the health service; and improving quality of data collection and use to reduce inequalities related to digital health and cardiometabolic disease. …”
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Conceptual model of sustainable development of pedagogical staff competences in quality assurance of higher education by Andrii Biloshchytskyi, Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Yurii Andrashko, Aidos Mukhatayev, Khanat Kassenov

“…Thus, the authors proposed an innovative approach to improving the level of competence of teachers of higher education institutions, which is focused on the effective assimilation of learning outcomes not only directly by teachers, but also by students of academic groups in which these teachers teach.…”
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Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation by Yu-An Huang, Yue-Chao Li, Zhu-Hong You, Lun Hu, Peng-Wei Hu, Lei Wang, Yuzhong Peng, Zhi-An Huang

“…The experiments have demonstrated that introducing pathway information significantly improves the learning of cell–cell graphs, with their resulting consensus graph enhancing the predictive performance of cell type prediction. …”
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Identification of Bacterial Lipopolysaccharide-Associated Genes and Molecular Subtypes in Autism Spectrum Disorder by He Y, He Y, Cheng B

“…This research aims to explore bacterial lipopolysaccharide (LPS)- and immune-related (BLI) molecular subgroups in ASD to enhance understanding of the disorder.Methods: We analyzed 89 control samples and 157 ASD samples from the GEO database, identifying BLI signatures using least absolute shrinkage and selection operator regression (LASSO) and logistic regression machine learning algorithms. A nomogram prediction model was developed based on these signatures, and we performed Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune cell infiltration analysis to assess the impact of BLI subtypes and their underlying mechanisms.Results: Our findings revealed 17 differentially expressed BLI genes in children with ASD, with BLNK, MAPK8, PRKCQ, and TNFSF12 identified as potential biomarkers. …”
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Precision livestock farming applied to the dairy sector: 50 years of history with a text mining and topic analysis approach by Lucia Trapanese, Giovanna Bifulco, Alfio Calanni Macchio, Francesca Aragona, Sissy Purrone, Giuseppe Campanile, Angela Salzano

“…A comprehensive search on the Scopus® bibliometric database was carried out using various related keywords such as: “precision livestock farming, sensors, machine learning and dairy”. The research identified 5362 papers published from January 1976 to April 2024 that, after filtering, became 1794 eligible records. …”
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Effectiveness of room-of-error interventions for healthcare providers: a systematic review by Su Jin Jung, Jiwon Kang, Youngjin Lee

“…The room-of-error education program serves as a solution, as it provides a case-based learning platform allowing nursing students to identify and resolve medical errors within a controlled environment systematically. …”
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Fra kurs til partnerskap? Dekomp som mulig samarbeidsarena – et lærerutdanningsperspektiv by Kristine Haugen Rubilar

“…The decentralised programme of competence development (dekomp) has the potential to become an important collaboration space and an arena for learning and creating new connections between the two institutions. …”
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Parenting after a history of childhood maltreatment: A scoping review and map of evidence in the perinatal period. by Catherine Chamberlain, Graham Gee, Stephen Harfield, Sandra Campbell, Sue Brennan, Yvonne Clark, Fiona Mensah, Kerry Arabena, Helen Herrman, Stephanie Brown, ‘Healing the Past by Nurturing the Future’ group

“…Theoretical constructs include: attachment, social learning, relational-developmental systems, family-systems and anger theories; 'hidden trauma', resilience, post-traumatic growth; and 'Child Sexual Assault Healing' and socioecological models. …”
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A comparative analysis and survival analysis of open versus minimally invasive radical antegrade modular pancreatosplenectomy for pancreatic cancer: a systematic review and meta-an... by Yating Zhou, Fei Xue

“…Further research is warranted, particularly regarding the learning curve of L-RAMPS and its broader applicability.Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42024498383.…”
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