Interpretable Multi-Sensor Fusion of Optical and SAR Data for GEDI-Based Canopy Height Mapping in Southeastern North Carolina by Chao Wang, Conghe Song, Todd A. Schroeder, Curtis E. Woodcock, Tamlin M. Pavelsky, Qianqian Han, Fangfang Yao

“…This study presents an explainable machine learning framework that integrates sparse GEDI LiDAR samples with multi-sensor remote sensing data to improve both the accuracy and interpretability of forest canopy height estimation. …”
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Factors that support home deaths for patients receiving at-home palliative and end-of-life care: a sequential mixed-methods explanatory study by Kelley Kilpatrick, Émilie Allard, Mira Jabbour, Eric Tchouaket

“…Results The mean age of patients requiring PEoLC was 77.97 (SD: 13.70) years. The sample included 50.3% men and 49.7% women. One quarter (25.8%) of patients receiving PEoLC lived alone. …”
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Exploring Pregnancy-Related Information-Sharing Behavior Among First-Time Southeast Asian Fathers: Qualitative Semistructured Interview Study by Kidung Ageng, Anushia Inthiran

“…This study specifically aims to investigate whether first-time fathers share pregnancy information, with whom they share it, through what means, and the reasons behind the decisions to share the information or not. …”
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Bi‐Regional Machine Learning Radiomics Based on CT Noninvasively Predicts LOX Expression Level and Overall Survival in Hepatocellular Carcinoma by Kexin Gao, Musa Yaermaimaiti, Yiwei Wang, Guanggai Xia, Ting Xu, Hongcheng Wang

“…The calibration curves and the Hosmer‐Lemeshow test revealed consistency of the prediction probability acquired by our models and the true value of LOX expression, while the decision curve analysis (DCA) curve showed that both models had clinical practicability. …”
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Evolution of COVID-19 in the Karisimbi Health Zone City of Goma, DRC 2020 by Fidèle Djamba Okitokonda, André André Kalabela Misombo, Ernest Ombha Loshima, Guy Bilulu Suama, Union Sacrée Mwanza Tsonga, Freddy Kambale Kavoga, Éric Panzi Kalunda

“…This justified the present study, the aim of which was to analyze Covid-19-related data and inform decision-makers and health providers about its evolution in order to contribute to the improvement of Covid-19 control strategies. …”
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Computer case-based reasoning simulation versus traditional lectures for medical interns teaching of diagnosis and antibiotic prescribing for acute respiratory infection: a compara... by Fatemeh Rangraz Jeddi, Mansooreh Momen-Heravi, Razieh Farrahi, Ehsan Nabovati, Hossein Akbari, Maryam Edalati khodabandeh

“…Methods This comparative quasi-experimental study was conducted from 2020 to 2022 in the Department of Infectious Diseases at Shahid Beheshti Hospital, affiliated to Kashan University of Medical Sciences. The samples were selected using a convenience method and assigned to the intervention and control groups using a permuted block randomization approach. …”
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Health literacy profiles of undergraduate health students in Brazil: a cluster analysis by Paula Rocco Gomes Lima, Suellen Cristina Dias Emidio, Viviane Carrasco, Juliany Lino Gomes Silva, Ana Railka de Souza Oliveira-Kumakura

“…Abstract Background Health literacy encompasses the cognitive and social skills required to access, understand, and apply health information, influencing decision-making and disease prevention. Research with health students highlights that incorporating health literacy into curricula enhances competency levels, and impacts the quality of care provided.. …”
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Sustainability of natural tourism attraction and satisfaction by Y. Yuliana, A.M. Ningsih, V. Kristiana, A.P. Maharani, C. Syahni

“…In this investigation, the sample size was 350 people who had just visited the Batu Katak Park nature tourism. …”
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Single-cell and bulk transcriptome analyses reveal elevated amino acid metabolism promoting tumor-directed immune evasion in colorectal cancer by Tianyue Sun, Yan Chen, Ying-Xuan Chen

“…Using this score, 23 additional CRC samples were classified into high and low AA score groups. …”
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Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records by Yankun Ma, Fengtao Cui, Yulong Yao, Fuhai Shen, Hongyi Qin, Bing Li, Yan Wang

“…Among 5 machine learning algorithms evaluated, the Decision Tree-based multimodal model showed superior predictive capacity on the test set of 142 samples, with an AUC of 0.94 (95% CI 0.88–0.99), accuracy 0.95, specificity 1.00, and Youden's index 0.83. …”
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Transcriptome sequencing revealed that lymph node metastasis of papillary thyroid microcarcinoma is associated with high THBS4 expression and PDGFRA+ cancer-associated fibroblasts by LeYin Hu, Yi Lin, JingYu Zheng, Li Wan, Rui Zhao, Yi Ma, JianMin Li

“…The study defined two groups of PTMC patients: LNM(n=50) and NLNM(n=50). 10 samples from each group were used for transcriptome sequencing. …”
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Prevalence and associated factors of adolescent fatherhood in Ethiopia: A multilevel analysis using the 2016 Ethiopian demographic health survey data. by Misganaw Gebrie Worku, Getayeneh Antehunegn Tesema, Achamyeleh Birhanu Teshale

“…<h4>Methods</h4>This study used the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 4455 adolescent men was included for the final analysis. …”
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Indication of Economic Populism in Local Governance: A New Approach for Classifying Populist Behaviour by Pavel Zdražil, Jan Fuka, Bohuslav Pernica, Robert Baťa

“…Additionally, many municipalities in the sample are governed by a ‘grey zone’ of local initiatives, complicating result verification. …”
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Anemia and its determinants among non-pregnant women of childbearing age at Tsirae Wonberta district, Tigray, Ethiopia, 2020: a community based cross sectional study by Zuriyash Tadesse Melkamu, Tedros Bereket, Gebretsadkan Gebremedhin Gebretsadik, Gebretsadik Kiros Lema, Abreham Habtemariam Weldu, Makele Hailu Beyene, Solange Cullen

“…Data were collected using a semi-structured, pretested questionnaire, and blood samples were collected to measure hemoglobin levels. …”
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Prognostic and diagnostic value of PVR gene and protein levels, serum amylase, and urinary IGFBP-7 and TIMP-2 biomarkers in multiple myeloma by Eman M. Habib, Asmaa M. Hasan, Sara A. A. Mohammed, Amira A. A. Othman, Rasha Elgamal, Dalia E. Sherief

“…Limitations include the single-center design, modest sample size, absence of disease comparator groups, and the cross-sectional nature of biomarker evaluation. …”
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Predicting response to iron supplementation in patients with active inflammatory bowel disease (PRIme): a randomised trial protocol by Andrea E van der Meulen-de Jong, Gerard Dijkstra, Zlatan Mujagic, Marjolijn Duijvestein, Rogier L Goetgebuer, Roberta Loveikyte

“…Clinical and biochemical data will be collected at the baseline and after 6, 14 and 24 weeks. Blood samples will be collected to measure hepcidin and other biomarkers related to iron status. …”
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Optimizing Allocation to Telehealth and In-Person Prolonged Exposure for Women Veterans with Military Sexual Trauma: A Precision Medicine Approach by Evangelia Argyriou, Daniel F. Gros, Melba A. Hernandez Tejada, Wendy A. Muzzy, Ron Acierno

“…Upon further validation with larger and more diverse samples, such a rule may be applied in practice settings to aid clinical decision-making and personalization of treatment assignment.…”
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Causal role of immune cells in primary liver cancer: a mendelian randomization study by Jia Liu, Tongyuan Zhang, Yang Gao, Dong Ji, Lijian Chen

“…These findings could assist in clinical decision-making and provide new directions for the treatment and research of primary liver cancer.…”
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An Australian Value Set for the EQ-5D-Y-3L by Tianxin Pan, Bram Roudijk, Nancy Devlin, Brendan Mulhern, Richard Norman

“…Data were collected using Composite Time Trade Off (cTTO) and Discrete Choice Experiment (DCE) data from two independent samples of adult members of the Australian general public. …”
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Uncovering the factors of financial well-being: the role of self-control, self-efficacy, and financial hardship by Jorge Hernandez-Perez, Salvador Cruz Rambaud

“…By elucidating the pathways linking self-regulation to financial well-being, this research deepens our understanding of the cognitive, emotional, and behavioral drivers of financial decision-making, with implications for theory and practice. …”
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