Serum Beta2-Microglobulin Levels in Hepatitis B e Antigen-Negative Chronic Hepatitits B Patients under Long-Term Lamivudine Monotherapy: Relationship with Virological Breakthrough by Ioannis S Elefsiniotis, Nikolaos Scarmeas, Irene Glynou, Konstantinos D Pantazis, Helen Kada, Christos Mavrogiannis

“…OBJECTIVES: To evaluate the predictive value of serum beta2-microglobulin (β2m) levels for virological breakthrough in hepatitis B e antigen-negative chronic hepatitis B patients under long term lamivudine monotherapy.…”
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Insufficient Plasma Melatonin and Its Association With Neuropsychiatric Impairments in Patients With T2DM by Shuai He, Yue Yu, Peng-quan Chen, Hui-min Sun, Xin-ran Gao, Huai-zhi Sun, Jin-fang Ge

“…Conclusion: MLT levels decreased in patients with T2DM and were associated with neuropsychiatric impairments and inflammatory status, and MLT might be developed as a therapeutic agent and predictive indicator for T2DM-associated executive impairment and depression status.…”
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Technical review of radiative-property modeling approaches for gray and nongray radiation, and a recommended optimized WSGGM for CO2/H2O-enriched gases by Osama A. Marzouk

“…The study also presents results that help contrast several modeling approaches when used for emissivity predictions for a CO2/H2O mixture at different temperatures and pathlengths. …”
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Energy-based approach to the assessment of traffic flow by Volodymyr Polishuk, Stanislav Popov, Inna Vyhovska, Serhii Yanishevskiy, Liudmyla Nahrebelna

“…It demonstrates a strong correlation between the predictions and actual vehicle behavior on various road types. …”
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NOL-7 serves as a potential prognostic-related biomarker for hepatocellular carcinoma by Qiucheng Lei, Yingchun Huang, Feiwen Deng, Huazhen Zheng, Xitao Hong, Peng Wang, Jin Lv, Huanwei Chen, Zhenling Ji

“…The nomogram showed a good predictive performance based on the calibration plot. …”
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When math legitimizes knowledge: a step by step approach to Bayes’ rule in diagnostic reasoning by Yung Bruno de Mello Gonzaga, André Demambre Bacchi, Vitor Borin Pardo de Souza

“…OBJECTIVE: To present a step-by-step demonstration of Bayes' formula for positive and negative predictive values, fostering understanding and enabling its adoption in evidence-based medicine education and clinical practice as a supporting tool in the decision-making process. …”
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Preparedness of European pediatric oncologists to integrate AI in the clinical routine by Alberto E. Tozzi, Diana Ferro, Ileana Croci, Francesco Fabozzi, Angela Mastronuzzi

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Pretransplant HbA1c Is a Useful Predictor for the Development of New-Onset Diabetes in Renal Transplant Recipients Receiving No or Low-Dose Erythropoietin by Kazuaki Tokodai, Noritoshi Amada, Izumi Haga, Atsushi Nakamura, Toshiaki Kashiwadate, Naoki Kawagishi, Noriaki Ohuchi

“…Aims. To evaluate the predictive power of pretransplant HbA1c for new-onset diabetes after transplantation (NODAT) in kidney transplant candidates, who had several predispositions for fluctuated HbA1c levels. …”
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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…Evaluation revealed that XG Boost, AdaBoostM1, and Gradient Boosting achieved classification accuracies of 100%, with performance metrics including F1 score, MCC, Precision, Recall, AUC-ROC, and AUC-PR all equal to 1.00, indicating reliable predictions of diabetes presence. Researchers and practitioners can leverage the predictive model developed in this work to make quick predictions of diabetes mellitus, which could save many lives.…”
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Clinical value of serum biomarkers, squamous cell carcinoma antigen and apolipoprotein C-II in follow-up of patients with locally advanced cervical squamous cell carcinoma treated... by Yoko Harima, Takuro Ariga, Yuko Kaneyasu, Hitoshi Ikushima, Sunao Tokumaru, Shigetoshi Shimamoto, Takeo Takahashi, Noriko Ii, Kayoko Tsujino, Anneyuko I Saito, Hiroki Ushijima, Takafumi Toita, Tatsuya Ohno

“…There are currently no reliable, established serum biomarkers to predict the prognosis of radiotherapy for advanced cervical cancer. …”
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Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

“…For modeling the causation, the “Back door linear regression” approach has been considered which establishes a stable and interpretable framework in causal inference by focusing on clear assumptions. Predictive modeling was used to show the difference between correlation and causation along with interpretability modeling to make the predictive model transparent. …”
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Circulating miR-574–5p shows diagnostic and prognostic significance and regulates oxygen-glucose deprivation (OGD)-induced inflammatory activation of microglia by targeting ATP2B2... by Xia Yin, Chunlei Zhang

“…The downstream targets of miR-574–5p were predicted from public databases, and the targeting relationship was evaluated by luciferase reporter assay. …”
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…In non-gap areas validated against ground truth ECOSTRESS data, the model achieves LST predictions with at least 80% of all pixel errors falling within a ±3 °C range. …”
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Human–Robot Interactions: A Pilot Study of Psychoaffective and Cognitive Factors to Boost the Acceptance and Usability of Assistive Wearable Devices by Margherita Bertuccelli, Stefano Tortora, Edoardo Trombin, Liliana Negri, Patrizia Bisiacchi, Emanuele Menegatti, Alessandra Del Felice

“…While trait anxiety levels were predictive of the experienced effort (Adjusted-r² = 0.43, <i>p</i> = 0.02), the state anxiety score was predictive of the perceived overall workload (Adjusted-r² = 0.45, <i>p</i> = 0.02). …”
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In silico analysis of SNPs and miRNAs of KCTD13, CSDE1, SLC6A1 genes associated with autism spectrum disorder by Kübra Çoruh Kınalı, Ebru Özkan Oktay, Mesut Karahan

“…This data served as input for predictions, which were carried out using different computational tools like SIFT, PolyPhen-2, SNPs&GO, PROVEAN, MutationAssessor, PhD-SNP, PANTHER, SNAP-2, Meta-SNP, I-Mutant 2.0, MUpro, and Project HOPE. …”
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Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study by Anying Bai, Shan He, Yu Jiang, Weihao Xu, Zhanyi Lin

“…Discrimination analysis was conducted to assess and compare the predictive accuracy of the 3 aging metrics. …”
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Tolerance of Glyphosate-Resistant Maize to Glyphosate Plus MCPA Amine Is Influenced by Dose and Timing by Nader Soltani, Kris McNaughton, Chris L. Gillard, Robert E. Nurse, Peter H. Sikkema

“…/ha) at either the 4- or 8-leaf stage. The predicted dose of MCPA amine that caused 5, 10, and 20% injury was 339, 751, and 1914 g a.e.…”
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The correlation between the expression of androgen receptor splice variant-7 (AR-V7) protein with the time of occurrence of castration-resistant prostate cancer and overall surviva... by Indrawarman Soerohardjo, Narpati Wesa Pikatan, Andy Zulfiqqar, Irianiwati Widodo, Didik Setyo Heriyanto

“…Conclusions Diminished AR-V7 + protein expression emerges as a predictive indicator for a shortened time to CRPC onset. …”
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A quantitative module of avalanche hazard – comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simu... by F. Herla, P. Haegeli, S. Horton, P. Mair

“…For example, the numerical predictions can provide a valuable tool for assisting avalanche forecasters in the difficult decision to remove persistent slab avalanche problems. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

“…This study seeks to create an application capable of predicting procedure codes by analysing clinicians’ operative notes, aiming to streamline their workflow and enhance efficiency. …”
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