Healthcare Providers’ Interprofessional Collaboration Experience with Integrated Information System for Non-Communicable Disease Management at Primary Care in Indonesia: A Qualitat... by M. Agung Akbar, Sukemi Sukemi, La Rakhmat Wabula, Didi Kurniawan, Haeril Amir

“…Field notes were taken to capture non-verbal cues and contextual observations.Results: Three themes emerged in this study, namely “enhanced IPC through information systems”, “Optimized patient management via digital integration”, and “Improved health workers’ accessibility through adaptive technologies”.Conclusion: The integrated information system strengthened IPC and NCD management in primary care by streamlining workflows and improving data accessibility. …”
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Exploring barriers to the adoption and utilization of improved latrine facilities in rural Ethiopia: An Integrated Behavioral Model for Water, Sanitation and Hygiene (IBM-WASH) app... by Aiggan Tamene, Abel Afework

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Integrating Sustainable Development Goals into Urban Planning to Advance Sustainability in Sub-Saharan Africa: Barriers and Practical Solutions from the Case Study of Moundou, Chad by Ernest Haou, Ndonaye Allarané, Cyprien Coffi Aholou, Ouya Bondoro

“…In response to these challenges, it is essential for strategies to integrate local socio-economic specificities while navigating the inherent complexities of these issues, leveraging contextually appropriate resources within a sustainability paradigm. …”
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Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model by Shiwen Zhou, Masnizah Mohd

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Personalised Risk Modelling for Older Adult Cancer Survivors: Combining Wearable Data and Self-Reported Measures to Address Time-Varying Risks by Zoe Valero-Ramon, Gema Ibanez-Sanchez, Antonio Martinez-Millana, Carlos Fernandez-Llatas

“…While electronic health records (EHRs) offer extensive clinical data, they often lack crucial contextual information about patients’ daily lives and symptoms. …”
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Adaptation of Islamic Boarding Schools to the Changing Times: A Comparative Study of Curriculum Modernization by Yumni Febriani Tanjung, Yusnaili Budianti, Junaidi Arsyad

“…The results of the study show that the Ummi Kalsum Islamic Boarding School emphasizes the integration of the national curriculum (Merdeka Curriculum) with the Salafist curriculum. …”
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Digital Innovation in Islamic Religious Education: A Study of Madrasah Aliyah in Banda Aceh by Fakhrul Rijal, Hasanuddin Hasanuddin, Ainal Mardhiah

“…Using a descriptive qualitative method, data were collected through classroom observations, in-depth interviews, and document analysis at two public madrasahs. …”
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From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

“…<h4>Results</h4>Employing data-driven methods, standalone progression rates were 63% (prescription), 78% (NLP), and 54% (CV), compared to the 99% progression rate from manually applied clinical guidelines using integrated data sources. …”
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Freshwater fish monitoring in a subtropical reservoir: Integrating eDNA metabarcoding and traditional methods in biodiversity resolution, invasive species detection, and environmen... by Yen-Ting Lin, Yi-Feng Dai, Hong-Yu Yang, Yu-Hsiang Lin, Yen-Ting Hsu, Yu-I Lin, Hsiang-Yi Hsu, Yu-San Han

“…Moreover, eDNA-derived biodiversity data can enhance ecological risk assessment by linking species distributions with environmental drivers.…”
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Characterizing the neighborhood risk environment in multisite clinic-based cohort studies: A practical geocoding and data linkages protocol for protected health information. by Ariann Nassel, Marta G Wilson-Barthes, Chanelle J Howe, Sonia Napravnik, Michael J Mugavero, Deana Agil, Akilah J Dulin

“…This protocol can be implemented by study staff who do not have prior training in Geographic Information Systems (GIS) and can help minimize the operational costs of integrating geographic data into public health projects.…”
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…We develop a regression-based convolutional neural network model, trained on ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) mission data, which performs pixelwise LST predictions using 5 × 5 image patches, capturing contextual information around each pixel. …”
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Maintaining exercise in fitness centre settings: insights from the physical activity maintenance theory by Luiz Fernando Santos Tross, Helton Magalhães Dias, Marcelo Callegari Zanetti

“…Data were analysed using Bardin’s Content Analysis, exploring the participants’ experiences and the factors contributing to their sustained activity. …”
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Cautiously optimistic: paediatric critical care nurses’ perspectives on data-driven algorithms in low-resource settings—a human-centred design study in Malawi by Margot Rakers, Daniel Mwale, Lieke de Mare, Lezzie Chirambo, Bart Bierling, Alice Likumbo, Josephine Langton, IMPALA Study team, Niels Chavannes, Hendrikus van Os, Job Calis, Kiran Dellimore, María Villalobos-Quesada

“…Patient monitors equipped with data-driven algorithms that monitor and integrate clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. …”
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Medical Marijuana Documentation Practices in Patient Electronic Health Records: Retrospective Observational Study Using Smart Data Elements and a Review of Medical Records by Donielle Beiler, Aanya Chopra, Christina M Gregor, Lorraine D Tusing, Apoorva M Pradhan, Katrina M Romagnoli, Chadd K Kraus, Brian J Piper, Eric A Wright, Vanessa Troiani

“…Customized smart data elements (SDEs) were made available to clinicians at an integrated health system, Geisinger, following MMJ legalization in Pennsylvania. …”
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Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping by Apostolos Mavridis, Stergios Tegos, Christos Anastasiou, Maria Papoutsoglou, Georgios Meditskos

“…The exponential growth of digital data, particularly in specialized domains like healthcare, necessitates advanced knowledge representation and integration techniques. …”
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Implementation of an open chemistry knowledge base with a Semantic Wiki by Charlotte Neidiger, Tarek Saier, Kai Kühn, Victor Larignon, Michael Färber, Claudia Bizzarri, Helena Šimek Tosino, Laura Holzhauer, Michael Erdmann, An Nguyen, Dean Harvey, Pierre Tremouilhac, Claudia Kramer, Daniel Hansch, Fabian Schönle, Jana Alpin, Maximilian Hartmann, Jérome Wagner, Nicole Jung, Stefan Bräse

“…These enhancements allow for effective data comparison and contextual analysis within an expandable Wiki environment. …”
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“Less words, more pictures”: creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management by Virginia LeBaron, Natalie Crimp, Nutta Homdee, Kelly Reed, Victoria Petermann, William Ashe, Leslie Blackhall, Bryan Lewis

“…Orienting clinicians to unfamiliar, contextual data sources from remote health monitoring systems (such as environmental data and quality of life data from caregivers) and integrating these data into clinical workflows is critical to ensure these types of data can optimally inform the patient's plan of care. …”
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Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

“…To address these issues, this study proposes a time-series fusion network model (CSF-RTDNet) for red tide detection using time-continuous GOCI data from the East China Sea. By integrating multi-temporal GOCI data, the model comprehensively captures spatiotemporal characteristics of red tides, enhancing dynamic process modeling. …”
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Unveiling the Impact of Socioeconomic and Demographic Factors on Graduate Salaries: A Machine Learning Explanatory Analytical Approach Using Higher Education Statistical Agency Dat... by Bassey Henshaw, Bhupesh Kumar Mishra, William Sayers, Zeeshan Pervez

“…This study investigates determinants of graduate salaries in the UK, utilising survey data from HESA (Higher Education Statistical Agency) and integrating advanced machine learning (ML) explanatory techniques with statistical analytical methodologies. …”
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Advancing the understanding, measurement and monitoring of healthy ageing: A systematically derived framework and dataset mapping associated constructs, measures and measurement ap... by Andreea Alexandra Piriu, Maria Vittoria Bufali, Giulia Cappellaro, Amelia Compagni, Aleksandra Torbica

“…This enables researchers to generate new hypotheses, explore underrepresented areas – such as environmental and psychosocial dimensions – and advance integrative metrics. The framework and dataset also enhance methodological transparency and data reuse due to a structured design anchored in thematic identification, construct classification and comprehensive mapping of measurement practices. …”
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