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14601
A meta-analysis for the nighttime light remote sensing data applied in urban research: Key topics, hotspot study areas and new trends
Published 2025-06-01“…Nighttime light (NTL) data have become an essential tool for urban remote-sensing research in the past 25 years because of its ability to intuitively detect human activities. …”
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14602
Multi-century mean summer temperature variations in the Southern Rhaetian Alps reconstructed from <i>Larix decidua</i> blue intensity data
Published 2025-03-01“…The results from this investigation will extend the current knowledge on the applicability of using BI data to study the European larch, and the reconstruction described herein is the first attempt to determine whether this proxy can be used for dendroclimatic aims. …”
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Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study
Published 2025-04-01“…ObjectiveWe aimed to create a novel machine learning model for delirium prediction in ICU patients using only continuous physiological data. MethodsWe developed models integrating routinely available clinical data, such as age, sex, and patient monitoring device outputs, to ensure practicality and adaptability in diverse clinical settings. …”
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14604
Evaluation of diabetes care services, data quality, and availability of resources in Ethiopia: Difference-in-differences analysis of the NORAD-WHO NCDs’ midterm project evaluation...
Published 2024-11-01“…Clinical trial number Not applicable.…”
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14605
Peat oxic and anoxic controls of <i>Sphagnum</i> decomposition rates in the Holocene Peatland Model decomposition module estimated from litterbag data
Published 2025-06-01“…<p>The Holocene Peatland Model (HPM) is a widely applied model for understanding and predicting long-term peat accumulation, but it is difficult to test due to its complexity, measurement errors, and lack of data. Instead of testing the complete model, tests of individual modules may avoid some of these problems. …”
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Análisis de habilidades y percepciones sobre mHealth en el manejo de pacientes crónicos por profesionales de atención primaria
Published 2025-02-01“…Measurements: Participants completed an anonymized ad hoc questionnaire divided into two sections: sociodemographic data and questions regarding the use of mobile health technologies and the internet. …”
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14610
Factors associated with self-care in people with advanced chronic kidney disease and their experience of care in Catalonia: an application of Leventhal’s self-regulatory model
Published 2025-08-01“…A thematic analysis of the data was carried out, identifying dominant themes related to the mental structures and coping strategies for ACKD in accordance with the concepts described in the SRM. …”
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14611
The Unfolding Analysis for Symbolic Objects Based on the Example of the External Car Advertisement Evaluation
Published 2024-03-01“…Results: The empirical part presents an application for unfolding symbolic data to evaluate customers’ preferences, where car advertisements are used as the example. …”
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14612
Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI
Published 2025-06-01“…Irritability, defined as a lowered threshold for angry responses to blocked rewards, is a promising neurodevelopmental marker for mental health risk due to its robust, transdiagnostic predictive power in youth. In this study, data from the Adolescent Brain and Cognitive Development (ABCD) baseline sample (N = 6065) were utilized for a novel application of a 3D CNN to whole-brain fMRI data acquired during the reward anticipation period of the monetary incentive delay task to predict parent-reported youth irritability severity, measured dimensionally. …”
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Conceptual framework for data harmonisation in mental health using the International Classification of Functioning, Disability and Health: an example with the R2D2-MH consortium
Published 2024-12-01“…Although the linking process necessarily entails an element of subjectivity, the application of established rules can increase rigour and transparency of the harmonisation process.Conclusions We present the first steps towards data harmonisation in mental health that is compatible with contemporary approaches in psychiatry, being more capable of capturing diversity and aligning with more transdiagnostic and neurodiversity-affirmative ways of understanding data.Clinical implications Our findings show promise, but future work is needed to address quantitative harmonisation. …”
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Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction.
Published 2024“…Therefore, this study proposes the application of supervised machine learning techniques in the prediction of crimes basing on the past crime data. …”
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14616
Determination and Application of Critical Control Points on Ebi Fry Production (Value Added Product) at PT. Jala Sembilan Semarang, Central Java
Published 2022-09-01“…The working method used is a descriptive method with data collection including primary data and secondary data. …”
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application
Published 2025-07-01“…Federated learning has been successfully applied in medical settings, including diagnostic applications involving medical images such as MRI data. …”
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