Prediction of the Released Mechanical Energy of Loaded Lap Shear Joints by Acoustic Emission Measurements by Thomas Wolfsgruber, Martin Schagerl, Christoph Kralovec

“…The interfaces between two different materials are prone to damage and, therefore, the Structural Health Monitoring (SHM) of these areas is of interest. A new method for the damage evaluation of joints is developed and validated. …”
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Interval Prediction of the Proportion of Dominant Wound Pathogens in the Etiological Structure of Wound Infections and Evaluation of the Potential Effectiveness of Antimicrobial Ag... by S. G. Fominykh, A. I. Danilov, V. N. Gonnoshenko, E. V. Kalchenko

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Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network by Yang Yang, Lin Yang, Bo Wu, Gang Yao, Hang Li, Soltys Robert

“…Twenty-nine models have been compared and analyzed by using hidden layer, initial learning rate, batch size, activation function, and optimization method. It is found that the 4-15-15-4 model occupies a preferable prediction performance, and it can provide a kind of utility for traffic control and reduce the probability of vehicle accidents on the bridge.…”
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Predicting 1-year mortality among patients with decompensated cirrhosis: results of a multicentre evaluation of the Bristol Prognostic Score by John F Dillon, Stephen Barclay, Fiona Finlay, Kathleen Clare, Asma Ahmed, Sarah Pauline Bowers, Louise Hagerty, Kirsty McColl, Eva Smith, Alana Brown-Kerr

“…This study retrospectively evaluated the BPS in a cohort of patients admitted to three Scottish hospitals.Method Routinely collated healthcare data were used to obtain demographics, BPS and analyse 1-year mortality for patients with decompensated liver disease admitted to three gastroenterology units over two 90-day periods. …”
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Durability Probabilistic Evaluation of RC Structures Subjected to Chloride Ion by Han Seung Lee, Mohamed Ismail, Mohd Warid Hussin

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Smart grid forecasting method based on data preprocessing and Bi-LSTM by LI Yan, LIU Xinyue, QIAO Junjie, WANG Maotao, LIU Yifan, QI Leijie

“…In Bi-LSTM-DP, the acquired data first fills in the missing values by mean, then denoises the data based on the Savitzky-Golay filter, and finally uses Bi-LSTM to extract time series information to achieve short-term predictions. In order to evaluate the performance of the proposed method, the measured public data sets are used to predict the wind power generation capacity and load demand respectively, and the comparison with other reference methods shows the effectiveness and robustness of the proposed method.…”
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Comprehensive evaluation of tumor response better evaluates the efficacy of neoadjuvant chemotherapy and predicts the prognosis in gastric cancer - a post hoc analysis of a single-... by Xuejun Gan, Yongning Jia, Fei Shan, Xiangji Ying, Shuangxi Li, Yan Zhang, Fei Pang, Ziyu Li

“…Significant differences in overall survival (OS) and recurrence-free survival (RFS) were observed between responders and non-responders distinguished by the comprehensive evaluation method. Conclusions The combination of CT-thickness, TRG, and TMs could be used to construct a pragmatic NACT efficacy evaluation method with both high sensitivity and specificity, which could facilitate clinical decision-making, NACT-related clinical research conduction, and efficacy predictive biomarker exploration.…”
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Developing an HIV-specific falls risk prediction model with a novel clinical index: a systematic review and meta-analysis method by Sam Chidi Ibeneme, Eunice Odoh, Nweke Martins, Georgian Chiaka Ibeneme

“…Evidence quality and bias were assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) and the Mixed Method Appraisal Tool (MMAT), respectively. …”
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PREDICTION INTERVALS IN MACHINE LEARNING: RESIDUAL BOOTSTRAP AND QUANTILE REGRESSION FOR CASH FLOW ANALYSIS by Wa Ode Rahmalia Safitri, Farit Mochamad Afendi, Budi Susetyo

“…Unlike previous work focused only on point forecasts, this study offers insights into forecast uncertainty by evaluating how well each method quantifies, providing practical guidance for financial institutions aiming to improve risk management through interval-based forecasting.…”
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Prediction of Pathologic Response in Unresectable Hepatocellular Carcinoma After Downstaging with Locoregional and Systemic Combination Therapy by Yang C, Chen Y, Sheng L, Wang Y, Zhang X, Yang Y, Ronot M, Jiang H, Song B

“…Integration of mRECIST with AFP or PIVKA-II responses allowed for accurate prediction of MPR and could support decision-making on subsequent curative-intent treatment.Keywords: hepatocellular carcinoma, chemoembolization therapeutic, systemic therapy, pathologic response, response evaluation criteria in solid tumors…”
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A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

“…Educational Data Mining offers analytical methods to support the prediction of student outcomes, development of intelligent tutoring systems, and curriculum optimization. …”
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A Proof-of-Concept for Safety Evaluation of Inhalation Exposure to Known Respiratory Irritants Using In Vitro and In Silico Methods by Nikaeta Sadekar, Holger Peter Behrsing, Tanja Hansen, Vivek Patel, Hazel Paulo, Alex Rae, Detlef Ritter, Katharina Schwarz, Anne Marie Api

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Evaluation of a Candida Antigen Detection Method (Cand-Tec): Experience from a University Teaching Hospital by Todd J Anderson, Heather E Bryant, Deirdre L Church

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Analysis of Financial Distress in Telecommunication Companies in Indonesia Using the Ohlson O-Score and Zmijewski Methods by Ayyinah Nur Bayyinah

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Evaluation of predictive value and changes of 99mTc-MIBI clearance and myocardial perfusion in patients with heart failure and indications for cardiac resynchronization therapy by A. I. Mishkina, T. A. Atabekov, A. S. Platonov, S. I. Sazonova, R. E. Batalov, K. V. Zavadovsky

“…To study the significance of 99mTc-MIBI washout rate as a scintigraphic marker of mitochondrial dysfunction in predicting the effectiveness of cardiac resynchronization therapy (CRT), and to evaluate the long-term effect of CRT on 99mTc-MIBI clearance and myocardial perfusion.Material and methods. …”
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Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis by Hiroharu Natsume, Shogo Okamoto

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Accelerated Testing of High Power Transistors for Long Operation when Solving Problems of Prediction of their Reliability by the Method of Imitation Simulation by V. O. Kaziuchyts, E. V. Kalita, S. M. Borovikov, A. I. Berasnevich

“…When evaluating the individual reliability of semiconductor devices by gradual failures for a given operating time, the value of the electrical parameter of a particular instance for this operating time is predicted using the simulation method. …”
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Personalized dose reduction strategies for biologic disease-modifying antirheumatic drugs for treating axial spondyloarthritis: a clinical and economic evaluation with predictive m... by Bui Hai Binh, Nguyen Thi Thu Phuong, Vu Thi Thanh Hang, Ngo Thi Thuc Nhan, Nguyen Thi Nhu Hoa, Hoang Van Dung

“…Methods This 12-month prospective study, 368 AS patients receiving ≥ 3 months of full-dose bDMARDs were included. …”
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Establishing a high sensitivity detection method for SARS-CoV-2 IgM/IgG and developing a clinical application of this method by Chunyan Zhang, Lei Zhou, Hao Liu, Sibing Zhang, Yaping Tian, Junli Huo, Fei Li, Yao Zhang, Bo Wei, Dan Xu, Jinwei Hu, Jiayi Wang, Yuxuan Cheng, Wenjie Shi, Xiuli Xu, Jianping Zhou, Peipei Sang, Xudong Tan, Weiwei Wang, Minjie Zhang, Bin Wang, Yujun Zhou, Kan Zhang, Kunlun He

“…The analytical performance and clinical evaluation of this testing method was done and the clinical significance of the testing method was verified. …”
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Estimation of Fuel Cell Power Demand on Commercial Vehicles Based on Improved Multiple Grey Prediction Method Considering Dynamic Time Window by Yuan Wang, Yingjia Li, Jianshan Lu, Hongbo Zhou

“…An improved multiple grey prediction method is then proposed to predict the power demand during the sampling period of the fuel cell while considering a dynamic time window in the prediction period. …”
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