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  1. 16661

    An atmospheric correction method for Himawari-8 imagery based on a multi-layer stacking algorithm by Menghui Wang, Donglin Fan, Hongchang He, You Zeng, Bolin Fu, Tianlong Liang, Xinyue Zhang, Wenhan Hu

    Published 2025-03-01
    “…The correction performances of MSM and comparative algorithms were evaluated using the median absolute error (MedAE) between the predicted and simulated water-leaving reflectance data. …”
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  2. 16662

    Predictors of specialist care referrals (SCR) following emergency department review or hospital admission in adults with previous acute COVID-19: a prospective UK cohort study by Anita Saigal, Songyuan Xiao, Owais Siddique, Prasheena Naran, Heba M Bintalib, Camila Nagoda Niklewicz, George Seligmann, Sindhu Bhaarrati Naidu, Amar J Shah, Chibueze Ogbonnaya, John R Hurst, Marc Ci Lipman, Swapna Mandal

    Published 2025-01-01
    “…Total number of symptoms, pre-existing co-morbidity such as smoking status, cardiac co-morbidities, and mental health illnesses may predict those requiring healthcare input. This information may enable better post-COVID support for ED attendees, a distinct group who should not be neglected when preparing for future pandemics. …”
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  3. 16663

    Leveraging machine learning to uncover multi-pathogen infection dynamics across co-distributed frog families by Daniele L. F. Wiley, Kadie N. Omlor, Ariadna S. Torres López, Celina M. Eberle, Anna E. Savage, Matthew S. Atkinson, Lisa N. Barrow

    Published 2025-01-01
    “…We then built balanced random forests (RF) models to predict infection status and intensity based on host taxonomy, age, sex, geography, and environmental variables and to assess relative variable importance across pathogens. …”
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  4. 16664
  5. 16665

    Poly (ADP-ribose) (PAR) levels in Peripheral Blood Mononuclear Cells (PBMC) during peri-implantation and early pregnancy in buffalo cows by Giovanna De Matteis, Anna Reale, Michele Zampieri, Emanuela Rossi, Federica Signorelli, Olimpia Barbato, Vittoria Lucia Barile

    Published 2023-11-01
    “…Since its involvement in the blastocyst implantation has been hypothesized and considered the importance of markers for predicting pregnancy success, with this study, we wanted to evaluate dynamic changes in PAR levels during peri-implantation and early pregnancy in peripheral blood mononuclear cells (PBMCs) in buffalo species. …”
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  6. 16666
  7. 16667

    Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

    Published 2025-01-01
    “…In addition, incorporating wearable device integration and predictive analytics could provide real-time health data, optimizing activity recommendations and health monitoring. …”
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  8. 16668

    Designing an Innovative Human Resources Model Based on Perceived Organizational Support Case Study of Qazvin's Government organizations by Hossein Rasouli, Morteza Mousakhani, Mahdi Alvani, parham azimi

    Published 2024-06-01
    “…This model is innovatively designed to predict the output variable based on the carefully evaluated values of the input variables. …”
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  9. 16669

    Global assessment of leukemia care quality: insights from the quality of care index (QCI) from 1990 to 2021Research in context by Yuzhe Pan, Qian Liu, Nan Zhang, Shuang Peng, Xinqi Li, Fuling Zhou

    Published 2025-01-01
    “…Then we employed the bayesian age-period-cohort (BAPC) model to predict future QCI trends. Findings: Between 1990 and 2021, both the age-standardized incidence rate (ASIR) and age-standardized death rate (ASDR) for leukemia exhibited a consistent decline. …”
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  10. 16670

    Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

    Published 2025-02-01
    “…A diagnostic model constructed using five pivotal genes (B3GNT5, FUT11, MAN1C1, ST6GAL1, and C1GALT1C1) exhibited predictive accuracy, with AUC values exceeding 0.96 for all genes. …”
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    Article
  11. 16671

    Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data by Abdullah A Alharbi, Nawfal A Aljerian, Meshary S Binhotan, Hani A Alghamdi, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Yasser A Alaska, Eid B Alwahbi, Mohammed A Muaddi, Ahmad Y Alqassim, Ronnie D Horner

    Published 2025-01-01
    “…Saudi Arabia has pioneered the nationwide Saudi Medical Appointments and Referrals Centre (SMARC), a centralized e-referral system using artificial intelligence and predictive analytics. ObjectivesThis study aims to analyze Saudi Arabia’s novel nationwide e-referral system for mental health services, using SMARC platform data to examine referral patterns, and service accessibility. …”
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  12. 16672

    Mamá Empoderada: study protocol for a pilot trial of a novel parenting and mental health prevention intervention for migrant mothers with young children at the Mexico-US border by Gudelia Rangel, Shira M Goldenberg, Eileen Pitpitan, Kaylee Ramage, Ietza Bojorquez-Chapela, Cecilia Martinez-Torteya, Katherine Rosenblum, Chelsie Hernandez, Monica Alvarez

    Published 2025-01-01
    “…The aim of this study is to pilot-test a novel parenting and mental health prevention intervention for migrant mothers with young children (MMC) in Tijuana, Mexico, including (a) assessing acceptability; (b) estimating effect sizes on symptoms of depression, anxiety, and parenting stress; (c) identifying which theory-based mechanisms of action predict changes in outcomes; and (d) identifying factors associated with differential intervention response.Methods and analysis ‘Mamá Empoderada’ (Mom Power) is a theory-based, trauma-informed group intervention to promote mental health and responsive parenting among mothers with young children (0–5 years). …”
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  13. 16673

    Molecular testing stratifies the risk of structural recurrence in high risk differentiated thyroid cancer: a retrospective cohort study by Jie Liu, Wensi Gao, Xiong Zheng, Shuping Wu, Yi Shi, Feng Wang, Yu Wu

    Published 2025-01-01
    “…Multivariate COX regression analysis confirmed that molecular characterize groups (HR: 5.77, 95% CI: 2.18-15.23, p < 0.001) and tumor size (HR: 1.32, 95% CI: 1.00-1.74, p = 0.047) independently predicted recurrence-free survival.ConclusionATA-RSS high-risk differentiated thyroid cancer often presents with late-hit genetic alterations, which are strongly associated with increased likelihood of structural recurrence. …”
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  14. 16674

    Differential diagnostic value of P wave dispersion and QT interval dispersion between psychogenic pseudosyncope and vasovagal syncope in children and adolescents by Zifeng Huang, Yi Xu, Shuo Wang, Ping Liu, Xingfang Zen, Yuwen Wang, Fang Li, Runmei Zou, Cheng Wang

    Published 2025-01-01
    “…Conclusions In children and adolescents, electrocardiogram parameters such as Pmax, Pd, QTmax, QTd, and QTcd all possess predictive value in differentiating between PPS and VVS. …”
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  15. 16675

    The association between stress-induced hyperglycemia ratio and cardiovascular events as well as all-cause mortality in patients with chronic kidney disease and diabetic nephropathy by Boning Cao, Zhendong Guo, Dan-Ting Li, Le-Ying Zhao, Zhen Wang, Ya-Bin Gao, Yao-Xian Wang

    Published 2025-02-01
    “…This study seeks to investigate the clinical value of SHR as a predictive tool for all-cause and cardiovascular mortality in these patient groups. …”
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  16. 16676

    A Systematic Review of Research on Guided Access Cavity Preparation Endodontic Treatment: Dentin Preservation Perspectives by Muryani A, Aripin D, Dharsono HDA, Rajion ZA, Wicaksono S

    Published 2025-01-01
    “…Studies show that advanced technologies in guided access cavity preparation endodontic treatment can improve dentin preservation, improve accuracy and predictability, particularly for root canal anomalies and difficult teeth, but clinicians must consider limitations and clinical applications. …”
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  17. 16677

    Five years comparation of efficacy and safety after ICL-V4c implantation for high and super high myopia correction by Qi Wan, Li Chen, Peiyuan He, Ran Wei, Ke Ma, Hongbo Yin, Jing Tang, Ying-ping Deng

    Published 2025-12-01
    “…Objectives The objective of the investigation is to examine the long term efficacy, safety, and predictability of ICL-V4c implantation for high and super-high myopic patients in order to provide reliable guidance for the selection of refractive surgical procedures.Methods We reviewed 125 eyes from 64 patients who implanted ICL-V4c at the Refractive Surgery Center of West China Hospital in Chengdu, China, between May 2015 and January 2017. …”
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  18. 16678

    Beyond LDL cholesterol: remnant cholesterol is associated with cardiometabolic risk factors in children by Ana Torres-Costoso, Vicente Martínez-Vizcaíno, Andreia Oliveira, Mairena Sánchez-López, Eva Rodríguez-Gutiérrez, Sergio Núñez de Arenas-Arroyo, Montserrat Solera-Martínez, Blanca Notario-Pacheco, Vanessa Martínez-Madrid, Arthur Eumann Mesas

    Published 2025-01-01
    “…Abstract Background Recent evidence from both randomized controlled trials and cohort studies in adults suggests that plasma remnant cholesterol (RC) levels predict cardiovascular disease. In children, studies are scarce, although high levels of RC might represent a marker of early atherosclerotic damage. …”
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  19. 16679

    Resveratrol contributes to NK cell-mediated breast cancer cytotoxicity by upregulating ULBP2 through miR-17-5p downmodulation and activation of MINK1/JNK/c-Jun signaling by Bisha Ding, Jie Li, Jia-Lin Yan, Chun-Yan Jiang, Ling-Bo Qian, Jie Pan

    Published 2025-02-01
    “…The target gene of miR-17-5p were predicted with different algorithms from five databases and further confirmed with dual-luciferase reporter assay. …”
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  20. 16680

    The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C by Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu

    Published 2025-01-01
    “…Phenotypic Age Acceleration (PhenoAgeAccel) is defined as the residual from a linear regression model predicting PhenoAge on the basis of chronological age. …”
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