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  1. 22481

    Identification of Breast Cancer Biomarkers by Constructing Protein-Protein Interaction and miRNAs-mRNAs Networks by Azizeh Asadzadeh, Bita Behboodian, Parsa Bernoos, Masoumeh Shojaei Barjouei

    Published 2025-01-01
    “…Finally, key microRNAs (miRNAs) were predicted.Results: After protein-protein interaction analysis, a total of 10 upregulated DEMs (DLGAP5, CCNB1, TTK, NUSAP1, RRM2, BUB1B, CDK1, CENPF, TOP2A, and ASPM) and 10 downregulated DEMs (PPARG, LIPE, CD36, FABP4, SCD, LPL, DGAT2, PNPLA2, ACSL1, and LEP) were screened as hub genes. …”
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  2. 22482

    Exploring the Association Between Triglyceride-Glucose Indices and Their Derivatives With Obstructive Sleep Apnea: Insights From the National Health and Nutrition Examination Surve... by Zhou Y, Xue F

    Published 2025-01-01
    “…The diagnostic capability was highest for TyG-WC, with an AUC of 0.647.Conclusion: The study confirms strong associations between OSA and the TyG indices, particularly TyG-WC, which demonstrates significant predictive power for OSA risk. Future longitudinal studies are recommended to further investigate these associations and enhance OSA management in resource-constrained environments.Keywords: triglyceride-glucose index, insulin resistance, epidemiological study, metabolic indices, obstructive sleep apnea…”
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  3. 22483

    Systematic approach to paired ceramic coatings deposited by oxygen fuel and metal in a tribological application by K.A. Habib, D.L. Cano, Emilo Rayón, J. Serrano-Mira, José V. Abellán-Nebot, I. Cervera

    Published 2025-03-01
    “…The proposed methodology may assist in predicting variations in lubrication regime parameters (Stribeck curve) by controlling the hardness ratio.…”
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  4. 22484

    A Quantitative Particle-Based Approach for the Geometallurgical Assessment of Tailings Deposits by Rosie Blannin, Max Frenzel, Raimon Tolosana-Delgado, Kai Bachmann, Alexandra Gomez Escobar, Lucas Pereira, Jens Gutzmer

    Published 2024-12-01
    “…The spatial distributions of processing-relevant particle properties throughout the tailings deposit were predicted with corresponding uncertainties. There are clear systematic trends in the spatial distributions of different particle types, resulting from the sedimentary-style deposition of the tailings. …”
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  5. 22485

    Early selective attention to the articulating mouth as a potential female-specific marker of better language development in autism: a review by Itziar Lozano, Charlotte Viktorsson, Elena Capelli, Teodora Gliga, Valentina Riva, Przemysław Tomalski

    Published 2025-02-01
    “…During the first year, more mouth-looking generally predicts better language development, but sex differences exist. …”
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  6. 22486

    Patients with chronic heart failure and predominant left atrial versus left ventricular myopathy by Xuanyi Jin, Wan Ting Tay, Dinna Soon, David Sim, Seet Yoong Loh, Sheldon Lee, Fazlur Jaufeerally, Lieng Hsi Ling, A. Mark Richards, Adriaan A. Voors, Carolyn S. P. Lam, Joost P. van Melle

    Published 2025-02-01
    “…Using multivariable logistic regression adjusted for LVEF and LA size, independent predictors of predominant LA myopathy were the presence of AF, diabetes, and higher GDF15, whereas absence of diabetes independently predicted predominant LV myopathy. Patients with predominant LA myopathy group had a lower probability of survival than the other groups (Log rank p-value = 0.01). …”
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  7. 22487

    Imprint of ancestral and modern threats in human mind – experience of fear, disgust, and anger by Eva Landová, Eva Landová, Jakub Polák, Jakub Polák, Markéta Janovcová, Iveta Štolhoferová, Šárka Peterková, Aleksandra Chomik, Daniel Frynta

    Published 2025-01-01
    “…Finally, our study reveals that pandemic fear is better predicted by specific behaviors rather than general anxiety, suggesting a need for new assessments.…”
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  8. 22488

    Synovial fluid leukocytes as diagnostic marker in periprosthetic shoulder infection by Stefan Köppe, Daniel Karczewski, MD, Rony-Orijit Dey Hazra, MD, Alp Paksoy, MD, Agahan Hayta, MD, Doruk Akgün, MD

    Published 2025-01-01
    “…The corresponding positive and negative predictive values (PPV and NPV) were 89% and 59%, respectively. …”
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  9. 22489
  10. 22490

    Genome evolution following an ecological shift in nectar-dwelling Acinetobacter by Vivianna A. Sanchez, Tanya Renner, Lydia J. Baker, Tory A. Hendry

    Published 2025-01-01
    “…Gene content changes suggest a shift to metabolism of monosaccharides rather than diverse carbohydrates, and scavenging of nitrogen sources, which we predict to be beneficial in nectar environments. Gene gains appear to result from duplication events, evolutionary divergence, and horizontal gene transfer. …”
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  11. 22491

    When Technology Meets Anxiety:The Moderating Role of AI Usage in the Relationship Between Social Anxiety, Learning Adaptability, and Behavioral Problems Among Chinese Primary Schoo... by Ma G, Tian S, Song Y, Chen Y, Shi H, Li J

    Published 2025-01-01
    “…Data analysis involved correlation and multiple regression analyses using SPSS, with the moderated mediation effect analyzed through Process Model 59.Results: Social anxiety was found to significantly and positively predict behavioral problems, indicating that higher levels of social anxiety were associated with more behavioral problems. …”
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  12. 22492

    Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review by Lamiece Hassan, Alyssa Milton, Chelsea Sawyer, Alexander J Casson, John Torous, Alan Davies, Bernalyn Ruiz-Yu, Joseph Firth

    Published 2025-01-01
    “…ObjectiveThis study aims to examine the utility of data from consumer-grade, digital, wearable devices (including smartphones or wrist-worn devices) for remotely monitoring or predicting changes in mental or physical health among adults with schizophrenia or bipolar disorder. …”
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  13. 22493

    Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators by Luis Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, Antonio Rodrigues

    Published 2025-01-01
    “…Notably, the implemented ML and XAI model achieved an F1-Score of 0.78 for 5G scenarios and 0.83 for 4G scenarios in predicting the Energy Sustainability Class, relying on a reduced set of indicators encompassing the most influential factors. …”
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  14. 22494

    Association between serum uric acid-to-high-density lipoprotein cholesterol ratio and metabolic dysfunction-associated steatotic liver disease among Chinese children with obesity by Meijuan Liu, Bingyan Cao, Qipeng Luo, Yanning Song, Kai Liu, Di Wu

    Published 2025-01-01
    “…ROC analysis indicated that UHR might serve as a predictive marker for diagnosing MASLD in obese children.ConclusionsIn children with obesity, UHR is significantly associated with MASLD and might serve as a novel and useful predictor for MASLD onset.…”
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  15. 22495

    The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets by Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

    Published 2025-01-01
    “…ResultsOur quantitative study suggests scattered effects of including categorical data for machine learning model training across predictive classes. Our qualitative analysis gives insights into how the categorical data were collected and why they were published, explaining some of the quantitative effects that we observed. …”
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  16. 22496

    Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

    Published 2025-01-01
    “…The proposed dual-stage model utilized a hypertuned Random Forest Tree (RFT) to classify the subjects into PD and non-PD classes at Stage 1 and a hypertuned Ensemble Regressor (ER) to predict the severity of illness at Stage 2. Further, we have implemented the proposed model on the data signals gathered from both feet of 166 participants using Vertical Ground Reaction Force Sensors (VGRF). …”
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  17. 22497

    Bienestar psicológico y satisfacción vital en adolescentes mexicanos tempranos y medios / Psychological well-being and life satisfaction in Mexicans at early and mid-adolescence by Blanca Barcelata-Eguiarte, Diego Rivas-Miranda

    Published 2016-12-01
    “…Self-acceptance and self-control predicted life satisfaction for both early and middle adolescents; however, positive relationships and life purpose, were predictors of life satisfaction for early adolescents, whereas future plans were a predictor for middle adolescents’ life satisfaction. …”
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  18. 22498

    The Mediating Role of Cognitive Reappraisal on Bedtime Procrastination and Sleep Quality in Higher Educational Context: A Three-Wave Longitudinal Study by Zhang Y, Rehman S, Addas A, Ahmad M, Khan A

    Published 2025-01-01
    “…Bedtime procrastination at earlier time points predicted poorer cognitive reappraisal (β= − 0.169, p< 0.05 to − 0.215, p< 0.01) and subsequent sleep quality (β=0.256, p< 0.001). …”
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  19. 22499
  20. 22500

    Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression by Wang P, Wang M, Xie Z, Zhi Z, Wang Y, Liu F, Liu Y, Zhao L

    Published 2025-01-01
    “…Each of these indicators exhibits predictive value for PSD occurrence, aiding in the early identification of high-risk groups.Keywords: acute ischemic stroke, post-stroke depression, insulin resistance, non-insulin-based insulin resistance indices…”
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