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  1. 6361

    Temporal trends of cervical cancer demographics: a CDC WONDER database study by Grace Folino, Isabella Zent, Lillian Eason, Vikram Murugan, Taylor Billion, Ali Bin Abdul Jabbar, Mohsin Mirza, Abubakar Tauseef

    Published 2025-07-01
    “…IntroductionDespite advancements in cervical cancer screening and HPV vaccines, demographic disparities perpetuate the burden of cervical cancer. The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. …”
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  2. 6362

    International Index of Digital Economy and Society (I-DESI): Trends in the Development of Digital Technologies by L. P. Bakumenko, E. A. Minina

    Published 2020-04-01
    “…Purpose of research. The aim of the study is to conduct statistical research and assess the level of digitalization of the economy of the European Union and some non-EU countries. …”
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  3. 6363

    Phase-contrast MRI analysis of cerebral blood and CSF flow dynamic interactions by Kimi Piedad Owashi, Pan Liu, Serge Metanbou, Cyrille Capel, Olivier Balédent

    Published 2024-10-01
    “…Interestingly, extracranial CB_VC showed a greater variability compared to intracranial CB_VC. Conclusion Our results confirmed that CSF does not completely and instantaneously balance cerebral blood expansion during the cardiac cycle. …”
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  4. 6364

    Assessing the economic performance of agrivoltaic systems in vineyards – framework development, simulated scenarios and directions for future research by Larissa Strub, Maximilian Wittke, Max Trommsdorff, Max Trommsdorff, Manfred Stoll, Claudia Kammann, Simone Loose

    Published 2024-12-01
    “…IntroductionThis paper introduces a framework for assessing the economic performance of agrivoltaic systems (AVS) in vineyards. The study aims to classify factors influencing the profitability of integrating photovoltaic (PV) systems with viticultural practices, emphasizing potential synergistic benefits. …”
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  5. 6365

    Understanding the hidden burden: prevalence and factors linked to left ventricular hypertrophy in hypertensive patients receiving care in Harari region, Ethiopia by Ashenafi Tadesse, Zerihun Abera Ayele, Megnot Hailu Mekonnen, Sinetibeb Mesfin, Dawit Abebe

    Published 2025-04-01
    “…Associations between categorical variables were assessed using a chi-square test and odds ratio with 95% confidence interval. …”
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  6. 6366

    A Retrospective Machine Learning Analysis to Predict 3-Month Nonunion of Unstable Distal Clavicle Fracture Patients Treated with Open Reduction and Internal Fixation by Ma C, Lu W, Liang L, Huang K, Zou J

    Published 2025-05-01
    “…While all five models showed similar trends, the CatBoost model achieved the highest performance (AUROC = 0.863, AUPRC = 0.801) with consistent identification of the risk factors mentioned above. The SHAP values identified the CCD as the significant predictor for assessing the risk of 3-month nonunion in patients with UDCFs within the Chinese demographic.Conclusion: The refined model incorporated four readily accessible variables, wherein the CCD, HDL levels, and blood loss were associated with an elevated risk of nonunion. …”
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  7. 6367

    Daily time series of 12 human thermal stress indices in Greece, aggregated at commune level (1998–2022)Zenodo by Georgios Charvalis, Michalis Koureas, Chloe Brimicombe, Chara Bogogiannidou, Fani Kalala, Varbara Mouchtouri, Christos Hadjichristodoulou

    Published 2025-02-01
    “…In this paper we present a dataset that contains daily mean, maximum and minimum values of 12 heat stress indices averaged over Greek communes from January 1998 to December 2022. …”
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  8. 6368

    Multicenter Evaluation of Machine-Learning Continuous Pulse Rate Algorithm on Wrist-Worn Device by Weixuan Chen, Rafael Cordero, Jessie Lever Taylor, Domenico R. Pangallo, Rosalind W. Picard, Marisa Cruz, Giulia Regalia

    Published 2024-12-01
    “…Machine learning (ML)-based algorithms can improve long-term pulse rate (PR) tracking but are associated with more stringent regulatory requirements when intended for clinical use. This study aimed to evaluate the accuracy of a digital health technology using wrist-worn PPG sensors and an ML-based algorithm to measure PR continuously. …”
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  9. 6369

    Hyperglycemia Is a Potential Prognostic Factor for Exacerbation in Severe Psoriasis with Diabetes or Prediabetes by Yongpisarn T, Thadanipon K, Suchonwanit P, Rattanakaemakorn P

    Published 2025-02-01
    “…Multiple studies have found a correlation between psoriasis severity and hemoglobin A1C (HbA1c, average blood sugar levels for the last 3 months); however, it is unknown whether hyperglycemia can also cause psoriasis exacerbation. We aimed to explore the potential of hyperglycemia as a predictor of psoriasis flare-ups. …”
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  10. 6370

    Developing a novel diagnostic model for identifying high-risk plaques in new onset unstable angina pectoris using coronary CT angiography by Hui Li, Hui Li, Yao Li, Zhuoya Yao, Bin Chen, Shaohuan Qian, Miaonan Li, Miaonan Li, Hongju Wang, Hongju Wang

    Published 2025-07-01
    “…The area-under-the-curve (AUC) values, calculated using the bootstrap method with 500 replicates, for evaluating high-risk plaque in both the development and validation cohorts, were 0.851, accompanied by a 95% Confidence Interval (CI) ranging from 0.768 to 0.935. …”
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  11. 6371

    Economic Evaluation Methodologies of Remote Patient Monitoring for Chronic Conditions: Scoping Review by Siri Bjorvig, Elin Breivik, Jordi Piera-Jiménez, Carme Carrion

    Published 2025-07-01
    “…ConclusionsThis review highlights the diversity and methodological variability in economic evaluations of RPM interventions for chronic conditions. …”
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  12. 6372

    Potential Protective Effect of Orlistat: A Formulation of Nanocrystals Targeting Inflammation, Oxidative Stress, and Apoptosis in an Experimental Model of Doxorubicin-Induced Cardi... by Maha Alsunbul, Thanaa A. El-Masry, Enas I. El Zahaby, Mohamed M. S. Gaballa, Maysa M. F. El-Nagar

    Published 2024-10-01
    “…Furthermore, Orli has a favorable impact on the decrease in cardiometabolic risk variables. Thus, this study aimed to investigate the novel use of Orlistat Nanocrystals (Orli-Nanocrystals) to mitigate DOX-induced cardiotoxicity and to identify probable pathways behind the cardioprotective effects. …”
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  13. 6373

    Exploring the association between hemoglobin glycation index and cognitive function in older adults with hypertension: a cross-sectional study by Hong Ding, Tingyue Kang, Wenbo Gao, Qi Wang, Shu Liu, Xiaowei Zhang, Jing Yu

    Published 2025-05-01
    “…Abstract Background The Hemoglobin Glycation Index (HGI) quantifies the difference between the actual and expected values of glycosylated hemoglobin (HbA1c), a marker that has been closely linked to various adverse health outcomes. …”
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  14. 6374

    Antecedents and consequences of professional competence of school administrators with emphasis on environmental sustainability and sustainable development by mohamadreza rasouli, ghafar tari, hossein Baghaei

    Published 2024-09-01
    “…Abstract The aim of the present research is to investigate the antecedents and consequences of professional competence of school managers with an emphasis on environmental sustainability and sustainable development. …”
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  15. 6375

    Intergenerational chronic undernutrition pattern and determinants in Ethiopia: a multilevel and spatial analysis of EDHS data (2000–2016) by Mekuriaw Nibret Aweke, Asebe Hagos, Moges Tadesse Abebe, Amare Kassaw, Molla Azmeraw, Nigusu Worku, Tesfahun Zemene Tafere, Mekides Engeda Alemu, Amanuel Tesera Alemu, Demewoz Kefale

    Published 2025-06-01
    “…We used ArcMap to assess spatial patterns of undernutrition through Global Moran’s I, identify hotspots with Getis-Ord Gi*, and apply interpolation to estimate values in unsampled areas. Variables with p-values less than 0.2 in the bivariable analysis were included in the multivariable model. …”
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  16. 6376
  17. 6377
  18. 6378

    Drought monitoring using the Climate Hazards InfraRed Precipitation with Stations (CHIRPS) in Ethiopia by Birhan Getachew Tikuye, Ram L. Ray, Busnur Manjunatha, Gebrekidan Worku Tefera, Sanjita Gurau

    Published 2025-06-01
    “…However, statistical analysis via the Mann-Kendall trend test indicates that these upward trends are not statistically significant, with computed p-values (0.335, 0.419, 0.384, and 0.207) exceeding the significance level of α ​= ​0.05. …”
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  19. 6379

    Development and validation of models for predicting preterm birth and gestational latency following emergency cervical cerclage: A multicenter cohort study by Cheng Chen, Baihui Zhao, Yu Pan, Lujiao Chen, Xiaofu Yang, Min Lv, Liping Qiu, Mengmeng Yang, Xia Ying, Minmin Wang, Huanhuan Wang, Xiuying Chen, Xiaoxing Zhang, Xiaofeng Weng, Qiong Luo

    Published 2024-05-01
    “…In the derivation set, the areas under the curves were 0.84, 0.81, and 0.84 for predicting 1‐, 3‐ and 5‐week pregnancy prolongation, respectively. The corresponding values for the external validation were 0.78, 0.78, and 0.79, respectively. …”
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  20. 6380

    Analysis of dog movement using a single accelerometer in different body positions—a new approach by Rainer da Silva Reinstein, Franciéli Mallmann Pozzobon, Pâmela Caye, Amanda Oliveira Paraguassú, Brenda Viviane Götz Socolhoski, Otávio Henrique de Melo Schiefler, Ricardo Pozzobon, Ricardo Pozzobon, Daniel Curvello de Mendonça Müller, Maurício Veloso Brun, Maurício Veloso Brun, Maurício Veloso Brun

    Published 2025-04-01
    “…The data were processed using Fourier analysis to extract harmonic frequencies and analyzed for acceleration peaks and autocorrelation to assess gait symmetry.ResultsThe findings showed that larger and heavier dogs (G+15) exhibited lower movement frequencies and more stable patterns, especially during trotting, while smaller and lighter dogs (G−15) demonstrated higher frequencies and greater variability. Significant differences in acceleration peaks were observed between body regions, with the pelvis and knee showing the highest values. …”
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