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  1. 8921

    Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study by Lito Kriara, Frank Dondelinger, Luca Capezzuto, Corrado Bernasconi, Florian Lipsmeier, Adriano Galati, Michael Lindemann

    Published 2025-04-01
    “…ResultsOverall, 1976 participants using 206 different device models were included in the analysis. Differences in test performance between subgroups were very small or small, with percent differences generally being ≤5% on the Information Processing Speed, Information Processing Speed Digit-Digit, U-Turn Test, and 2-Minute Walk Test; <20% on the PT; and <30% on the Static Balance Test. …”
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  2. 8922
  3. 8923

    What factors are associated with informal carers’ psychological morbidity during end-of-life home care? A systematic review and thematic synthesis of observational quantitative stu... by Tracey Shield, Kerin Bayliss, Alexander Hodkinson, Maria Panagioti, Alison Wearden, Jackie Flynn, Christine Rowland, Penny Bee, Morag Farquhar, Danielle Harris, Gunn Grande

    Published 2023-11-01
    “…Results Findings from 63 studies were grouped into seven themes: (1) How the patient was: worse patient mental health and quality of life related to worse carer mental health. (2) How much caregiving affected carers’ lives: greater impact, burden and feeling tasks were difficult related to worse mental health. (3) Relationships: good relationships between family members and between carer and patient seemed important for carer mental health. (4) Finance: having insufficient resources may affect carers’ mental health. (5) Carers’ internal processes (carers’ thoughts and feelings): feeling confident and prepared for caregiving related to better mental health. (6) Support: carers’ mental health seemed related to support given by family and friends and to getting sufficient, satisfactory support from formal services. (7) Background factors: older carers seemed generally to have better mental health, and female carers worse mental health overall. …”
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  4. 8924
  5. 8925

    Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

    Published 2025-03-01
    “…To achieve this, we used Sentinel-1 Synthetic Aperture Radar (SAR) polarizations and Sentinel-2 optical multispectral spectral bands along with multiple time series indices. The processing of input data and exploratory analysis were performed using a clustering algorithm based on Dynamic Time Warping (DTW), with K-means applied to the time series. …”
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  6. 8926

    Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion by Arjun Kidavunil Paduvilan, Godlin Atlas Lawrence Livingston, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

    Published 2025-07-01
    “…Unlike prior approaches, this method effectively mitigates the challenges of data sparsity and dimensionality reduction while improving generalization across diverse datasets. Comparative analysis highlights a 15% improvement in accuracy, a 12% reduction in false positives, and a 10% increase in F1-score against state-of-the-art models such as HNC and MFNNC. …”
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  7. 8927

    From the Literature to Our Cells: A Critical Appraisal of the Bioactivity and Role of Vitamin C, Folate, and Riboflavin in Nutrition and Health Claims by Belen Beltramo, Miriam Urlings, Carmen M. Padilla-Díaz, Aalt Bast, Hanne Diliën, Alie de Boer

    Published 2024-02-01
    “…In particular, in fruits and vegetables, these water-soluble vitamins are registered as unstable and labile during processing and storage. Furthermore, the characterisation of such vitamins in regulations and general knowledge of the targeted compounds seems oversimplified. …”
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  8. 8928

    Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning by Ye Wang, Zhen Pan, Huajun Cai, Shoufeng Li, Ying Huang, Jinfu Zhuang, Xing Liu, Guoxian Guan

    Published 2025-03-01
    “…Furthermore, an online web calculator was constructed using the XGB model to facilitate the model’s generalization and to enhance physician decision-making.…”
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  9. 8929
  10. 8930

    Improving properties of chitosan/polyvinyl alcohol films using cashew nut testa extract: potential applications in food packaging by Thuy Tien Dang, Lam Anh Thy Nguyen, Duc Tien Dau, Quy Sinh Nguyen, Thao Nhien Le, Thi Quynh Ngoc Nguyen

    Published 2024-12-01
    “…Cashew nut testa, a by-product of cashew nut processing, is abundant in phenolic compounds and exhibits strong antioxidant properties, making it a potential additive for enhancing the antioxidant properties of biodegradable films used in food packaging. …”
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  11. 8931

    Addition of monosodium glutamate can reduce the oxidative stability of lipids in pork burger patties via early-stage Maillard reaction products formation by Arturo Auñon-Lopez, Verena Rohringer, Kübra Taranaci, Jon Alberdi-Cedeño, Marc Pignitter

    Published 2025-01-01
    “…Conversely, 1.2 % MSG addition had no general impact on the formation of protein carbonyls and advanced glycation end products, although it promoted the generation of Schiff bases. …”
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  12. 8932

    Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

    Published 2025-07-01
    “…Classification was performed using Support Vector Machines (SVM), and results were evaluated based on accuracy, recall (sensitivity), specificity, and the F-measure, alongside bias-variance analysis for model generalization capability.ResultsU-Net segmentation achieved high accuracy across datasets, with particularly notable results for polyps (98.00%) and brain tumors (99.66%). …”
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  13. 8933
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  16. 8936
  17. 8937

    Enhancing root-zone soil moisture estimation using Richards' equation and dynamic surface soil moisture data by Xizhuoma Zha, Wenbin Zhu, Yan Han, Aifeng Lv

    Published 2025-05-01
    “…Root-zone soil moisture (RZSM) is a critical variable for accurately modeling hydrological and ecological processes, but its monitoring is challenging due to the spatial and temporal variability at watershed scales. …”
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  18. 8938

    Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study by Jana Gundlack, Carolin Thiel, Sarah Negash, Charlotte Buch, Timo Apfelbacher, Kathleen Denny, Jan Christoph, Rafael Mikolajczyk, Susanne Unverzagt, Thomas Frese

    Published 2025-05-01
    “…Potential AI application areas identified were diagnostics, image and data processing, and administrative tasks, though participants stressed that AI should remain a support tool, not an autonomous system. …”
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  19. 8939

    Non-invasive control of oxygen consumption during inhalation anesthesia of antireflux laparoscopic interventions by the method of Minimal flow by V. I. Chernii, I. V. Shtompel

    Published 2020-12-01
    “…Formation, storage, analysis of electronic database, statistical data processing and visualization of research results were performed in license packages: MedStat v. 4. and Microsoft Office. …”
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  20. 8940

    Investigating the role of new physics in semileptonic $$\varUpsilon (nS) \rightarrow B_c l^-{\bar{\nu }}_{l} $$ Υ ( n S ) → B c l - ν ¯ l weak decays by Jin-Huan Sheng, Feng-Zi Zhou, Yuan-Yuan Li, Yuan-Guo Xu

    Published 2025-03-01
    “…Starting with the most general effective Hamiltonian relevant for the $$b \rightarrow c l^-\bar{\nu _{l}}$$ b → c l - ν l ¯ transition, we report the prediction of standard model for various observables, such as branching ratios, the ratio of branching fractions, the lepton side forward-backward asymmetries, the initial hadron and final lepton longitudinal polarization asymmetries and the convexity parameter, as well as for some new observable that is similar to lepton non-universality, $$R_{B_c}(q^2)$$ R B c ( q 2 ) , which is related to the processes $$\varUpsilon (nS) \rightarrow B_c l^- \bar{\nu _{l}}(n=1,2,3)$$ Υ ( n S ) → B c l - ν l ¯ ( n = 1 , 2 , 3 ) . …”
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