Prognostic value of serum inflammatory markers in patients with esophageal squamous cell carcinoma undergoing surgery: a two-center retrospective cohort study by Yaqin Dong, Fan Wang, Jiaying Deng, Tong Tong, Xiangxun Chen, Liming Wu, Yichun Wang, Mei Kang, Yutong Xu, Guangjie Shi, Liyang Zhu

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Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections by R., Kikawa, M, N. Ngungu, D., Ntirampeba, A., Ssematimba

Subjects: “…Proportions,Time series data, Predictions, Regression, Support Vector Machine…”
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Analysis of Metabolic Risk Factors for Microcirculation Disorders Post-Percutaneous Coronary Intervention and Predictive Model Construction: A Study on Patients with Unstable Angina by Kangming Li, Shuang Liu, Jing Wang, Zhen Liu, Chunmei Qi

“…The constructed nomogram provides good predictive accuracy.…”
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C-reactive protein to serum calcium ratio as a novel biomarker for predicting severity in acute pancreatitis: a retrospective cross-sectional study by Xinqi Chen, Yisen Huang, Qiaoli Xu, Bifeng Zhang, Yubin Wang, Meixue Huang

“…The area under the curve (AUC) for CCR in predicting moderate to severe AP was 86.9%, with a sensitivity of 73.7% and specificity of 89.2%.ConclusionThe CCR measured within the first 24 h of admission shows promise as a valuable biomarker for predicting the severity of AP. …”
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Medication adherence and blood pressure control in treated hypertensive patients: first follow-up findings from the PREDIcT-HTN study in Northern Bangladesh by Ahmed Hossain, Gias Uddin Ahsan, Mohammad Zakir Hossain, Mohammad Anwar Hossain, Probal Sutradhar, Sarowar-E. Alam, Zeeba Zahra Sultana, Heba Hijazi, Syed Azizur Rahman, Mohamad Alameddine

“…This study aims to investigate the prevalence and relationship between medication adherence and BP management among hypertensive patients in Bangladesh. Methods The PREDIcT-HTN study in Northern Bangladesh aims to evaluate major adverse clinical events in treated hypertensive patients. …”
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Geogenic perspectives on potassium dynamics and plant uptake: insights from natural and submerged conditions across different soil types with machine learning predictions by Saibal Ghosh, Gourav Mondal, Shreya Chakraborty, Sonali Banerjee, Sumit Kumar, Riddhi Basu, Pradip Bhattacharyya

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Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas by Hyunglok Kim, Muhammad Zohaib, Eunsang Cho, Yann H. Kerr, Minha Choi

“…The results of this study may allow us to acknowledge the utilization of microwave-based soil moisture datasets for investigation of near-real time dust outbreak predictions and short-term dust outbreak trend analysis.…”
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Computed tomography enterography-based radiomics nomograms to predict inflammatory activity for ileocolonic Crohn’s disease: a preliminary single-center retrospective study by Yuping Ma, Luanxin Zhu, Bota Cui, Faming Zhang, Haige Li, Jianguo Zhu

“…Radiomics features from CTE could predict the inflammatory activity of CD.…”
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Multiple Time-Scales Analysis to Predict the Quasiperiodic Oscillatory Response of a Thin-Walled Beam Subjected to 1:1:1 Simultaneous Resonance by Ali Kandil, Y. S. Hamed, Jan Awrejcewicz, Nasser A. Saeed

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Serum Glial Cell Line-Derived Neurotrophic Factor (sGDNF) Is a Novel Biomarker in Predicting Cirrhosis in Patients with Chronic Hepatitis B by Guangyue Yang, Liping Zhuang, Tiantian Sun, Yee Hui Yeo, Le Tao, Wei Zhang, Wenting Ma, Liu Wu, Zongguo Yang, Yanqin Yang, Dongying Xue, Jie Zhang, Rilu Feng, Ebert Matthias P., Steven Dooley, Ekihiro Seki, Ping Liu, Cheng Liu

“…We assessed the potential of glial cell line-derived neurotrophic factor (GDNF) as a useful biomarker to predict cirrhosis in chronic hepatitis B (CHB) patients. …”
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Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model by Suresh Kumar

“…In this study, random forest machine learning prediction systems were deployed with simplified amino acid for prediction of individual major metal ion binding sites like copper, calcium, cobalt, iron, magnesium, manganese, nickel, and zinc.…”
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Investigating the role of age, admission systolic blood pressure, and neutrophil-to-lymphocyte ratio in predicting left ventricular hypertrophy among patients with primary hypertension by Xiaoyong Hu, Djandan Tadum Arthur Vithran, Zhaoying Yang, Ting Zou, Rui Tang, Hongjian Li

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A theoretical prediction for generating isolated attosecond pulse in water window utilizing instantaneous frequency change of two-color driving laser pulse by Masoumeh Dehghanian, Mohammad Sabaeian, Siamak Noorizadeh

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Prospective observational study to compare subclavian vein collapsibility index with inferior venacava collapsibility index in predicting hypotension after induction of general anaesthesia by Manjunath C. Patil, Kola Hari Poornima, Raghavendra H. Kalal

“…Aim and Objectives: To compare subclavian vein/infraclavicular axillary vein collapsibility index with inferior vena cava collapsibility index (during spontaneous breathing or deep inspiration) in predicting hypotension after induction of general anesthesia. …”
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HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning by Jinchen Sun, Haoran Zheng

“…Abstract Background Drug–drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. …”
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Prediction of Climate Change Impacts on the Distribution of an Umbrella Species in Western Sichuan Province, China: Insights from the MaxEnt Model and Circuit Theory by Xiaoyun Deng, Qiaoyun Sun

“…These predictions are crucial for developing effective strategies to mitigate the threats that climate change poses to biodiversity. …”
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Evaluating the predictive efficacy of the El-Ganzouri risk index for difficult laryngoscopy and intubation with King Vision™ video laryngoscope: A prospective cohort study by Aneeta Elizabeth Baby, Moses Charles D’souza, Mathangi Krishnakumar, Dicin Davis Kavalakkatt

“…Background and Aims: El-Ganzouri risk index (EGRI) scoring is a predictive tool for difficult video laryngoscope (VL) guided tracheal intubation, and its use has been studied for various VLs. …”
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Exploring the predictive power of antinuclear antibodies and Rheumatoid factor correlations in anticipating therapeutic outcomes for female patients with coexisting Sjögren's syndrome and Rheumatoid arthritis by Anitha Krishnan Pandarathodiyil, Hema Shree K, Pratibha Ramani, B. Sivapathasundharam, Ramya Ramadoss

“…Biomarkers such as antinuclear antibodies (ANA) and rheumatoid factor (RF) are used for diagnosis, but their predictive power for treatment outcomes remains unclear. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

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Evaluation of CD4+ T Lymphocyte Counts to Predict Survival of ICU Patients with Sepsis Using Sepsis-3 Criteria: A Prospective Cohort Study by Guoge Huang, Xusheng Li, Chunmei Zhang, Haizhong Li, Mengling Jian, Chunyang Huang, Yingqin Zhang, Luhua Xian, Hongke Zeng, Yuanyuan Xia, Wenqiang Jiang

“…The purpose of this study was to investigate the predictive value of CD4+ T lymphocyte counts of ICU patients for their short-term prognosis. …”
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