Fibroblast growth factor 21 predicts arteriovenous fistula functional patency loss and mortality in patients undergoing maintenance hemodialysis by Xinhui Hu, Hong Ding, Qing Wei, Ruoxin Chen, Weiting Zhao, Liqiong Jiang, Jing Wang, Haifei Liu, Jingyuan Cao, Hong Liu, Bin Wang

“…The optimal cutoffs for FGF21 to predict AVF functional patency loss and all-cause mortality in patients undergoing MHD were 149.98 pg/mL and 146.43 pg/mL, with AUCs of 0.701 (95% CI: 0.606–0.796, p < 0.001) and 0.677 (95% CI: 0.595–0.752, p = 0.002), respectively.Conclusions Serum FGF21 levels were an independent risk factor and predictor for AVF functional patency loss and all-cause mortality in patients undergoing MHD.…”
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An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. …”
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Immunoinformatics Approach for Epitope-Based Peptide Vaccine Design and Active Site Prediction against Polyprotein of Emerging Oropouche Virus by Utpal Kumar Adhikari, Mourad Tayebi, M. Mizanur Rahman

“…A total of five highly conserved and nontoxic linear B-cell epitopes “NQKIDLSQL,” “HPLSTSQIGDRC,” “SHCNLEFTAITADKIMSL,” “PEKIPAKEGWLTFSKEHTSSW,” and “HHYKPTKNLPHVVPRYH” were selected as potential vaccine candidates. The predicted eight conformational B-cell epitopes represent the accessibility for the entered virus. …”
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VMLP neural network design using optimization algorithms to predict spider suspend (Case Study: Watershed Dam Kardeh) by masooume darmani, mohammad nohtani, haydeh ara, Ali golkarian, Salman Sharif Azari

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A Component Prediction Method for Flue Gas of Natural Gas Combustion Based on Nonlinear Partial Least Squares Method by Hui Cao, Xingyu Yan, Yaojiang Li, Yanxia Wang, Yan Zhou, Sanchun Yang

“…Hence, the proposed method has higher predictive capabilities and better robustness.…”
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sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction by Maëlle Plawecki, Marion Morena, Nils Kuster, Leila Chenine, Hélène Leray-Moragues, Bernard Jover, Pierre Fesler, Manuela Lotierzo, Anne-Marie Dupuy, Kada Klouche, Jean-Paul Cristol

“…The aims of this study were to evaluate (i) the interest of circulating sST2 level in heart dysfunction and (ii) the bioclinical score (Barcelona Bio-Heart Failure risk calculator) to predict the risk of composite outcome (major adverse coronary events) and mortality in the CKD population. …”
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Adiabatic Temperature Rise Test of Cemented Sand and Gravel (CSG) and Its Application to Temperature Stress Prediction of CSG Dam by Minmin Jiang, Xin Cai, Xingwen Guo, Qinghui Liu, Tianye Zhang

“…The proposed model is implanted into the ANSYS software platform for predictions of temperature distributions and stress fields of a typical CSG dam. …”
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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

“…The transformer model demonstrated excellent prediction for nonsuicidal sessions (AUC-ROC=0.96, 95% CI 0.96-0.99) and good prediction for SI and ASE, with AUC-ROCs of 0.85 (95% CI 0.97-0.86) and 0.87 (95% CI 0.81-0.88), respectively. …”
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Assessment framework to predict sensitivity of marine calcifiers to ocean alkalinity enhancement – identification of biological thresholds and importance of precautionary principle by N. Bednaršek, H. van de Mortel, G. Pelletier, G. Pelletier, M. García-Reyes, R. A. Feely, A. G. Dickson, A. G. Dickson

“…Our assessment framework was developed to predict the sensitivity of marine calcifiers to OAE by using data originating from OA studies. …”
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Early Hyperglycemia in Pediatric Traumatic Brain Injury Predicts for Mortality, Prolonged Duration of Mechanical Ventilation, and Intensive Care Stay by Shu-Ling Chong, Sumitro Harjanto, Daniela Testoni, Zhi Min Ng, Chyi Yeu David Low, Khai Pin Lee, Jan Hau Lee

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Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm by Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza

“…ABSTRACT Machine learning is important in the treatment of heart disease because it is capable of analyzing large amounts of patient data, such as medical records, imaging tests, and genetic information, in order to identify patterns and predict the risk of developing heart disease. However, most ML algorithms require more accurate data in order to build an accurate prediction model and do not tolerate missing values. …”
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Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction by Xingxing Ma, Hongnian Liu, Zhen Peng

“…In numerical model simulations, data assimilation (DA) on the initial conditions and bias correction (BC) of model outputs have been proven to be promising approaches to improving PM2.5 (particulate matter with an aerodynamic equivalent diameter of ≤ 2.5 μm) predictions. This study compared the optimization effects of these two methods and developed a new scheme that combines DA and BC simultaneously. …”
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PURP: A Scalable System for Predicting Short-Term Urban TrafficFlow Based on License Plate Recognition Data by Shan Zhang, Qinkai Jiang, Hao Li, Bin Cao, Jing Fan

Subjects: “…traffic flow prediction…”
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Tumor aggression-defense index–a novel indicator to predicts recurrence and survival in stage II-III colorectal cancer by Tong Wu, Lin Fang, Yuli Ruan, Mengde Shi, Dan Su, Yue Ma, Ming Ma, Bojun Wang, Yuanyu Liao, Shuling Han, Xiaolin Lu, Chunhui Zhang, Chao Liu, Yanqiao Zhang

“…Therefore, precise predictive models and research on postoperative treatments are crucial for enhancing patient survival and improving quality of life. …”
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Predictive Utility of the HALP and Modified HALP Score for the Assessment of Operative Complications in Patients Undergoing Laparoscopic Cholecystectomy for Acute Cholecystitis by Yasemin Keskin, Hakan Sevinç, Selçuk Mevlüt Hazinedaroğlu, Şevket Barış Morkavuk, Şiyar Ersöz

“…<b>Background and Objectives</b>: The aim of the present study was to calculate HALP and modified HALP scores for patients diagnosed with acute cholecystitis (AC) and to determine the predictive utility of these scores for surgical timing and morbidity in patients who underwent surgery for AC. …”
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Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction by Ming Wei, Xiaopeng Du

Subjects: “…PM2.5 prediction…”
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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer by Xiaolong Liu, Pengxian Tao, He Su, Yulan Li

“…In conclusion, the prognosis model based on CRGs could be used as the basis for predicting the potential prognosis of patients with GC and provide new insights for the treatment of GC.…”
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Molecular phylogenetics of the Ophiocordyceps sinensis-species complex lineage (Ascomycota, Hypocreales), with the discovery of new species and predictions of species distribution by Yongdong Dai, Siqi Chen, Yuanbing Wang, Yao Wang, Zhuliang Yang, Hong Yu

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A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia by Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios

“…This framework adapts effectively, predicting EMS zones and guiding system configuration. …”
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A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions by Yasser Zare, Muhammad Tajammal Munir, Kyong Yop Rhee, Soo-Jin Park

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