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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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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Metabolic syndrome combined with insulin resistance showed great predictive value in evaluating recurrence in patients with atypical endometrial hyperplasia and early endometrial c... by Yuman Wu, Jingyuan Wang, Yuan Fan, Jianliu Wang, Xingchen Li

“…Conclusion MRS is a new evaluating predictor that could significantly improve the predictive accuracy for recurrence in fertility preservation treatment for AEH and early EC patients, especially when combined with IR.…”
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A Fuzzy Neural Network-Based Intelligent Prediction Model for Useful Lifespan of Lithium-Ion Batteries by Yaowei Xu, Zhenxing Hao, Wei Li, Angang Cao

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Advantages of trend analysis in stability studies for prediction of potential OOS result within estimated shelflife of medicinal product by Milena Nanov, Sanja Despotovska, Gordana Mitrovska, Vasilka Dubrova Koceva, Jelena Acevska

“…The trending analysis was performed to evaluate whether the data demonstrates increasing or decreasing trend (change of mean) for the stability indicating parameters over time or the data indicate no discernible change at all, as well as predicting potential OOS results during shelf life. …”
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Accurate Method for Solar Power Generation Estimation for Different PV (Photovoltaic Panels) Technologies by Aissa Meflah, Fathia Chekired, Nadia Drir, Laurent Canale

“…This study provides valuable insights for selecting an appropriate maximum power prediction method and choosing the most suitable PV module for a given climate.…”
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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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SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm by Yancheng Song, Jiaqi Lu, Huai Zhang, Guangjun Liu

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A risk-based preoperative evaluation method and management strategy for removing intrauterine contraceptive devices in postmenopausal women by Zijun Li, Yaqin Zheng, Min Liu, Linlin Pan

“…It is very important to develop a risk scoring system for the removal of IUCDs (RSSR-IUCDs) to evaluate the preoperative risk of removal and offer management strategies for postmenopausal women.MethodsA systematic case retrospective analysis was conducted on 320 enrolled women who underwent IUCD removal surgery. …”
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Preoperative prediction of lymph node metastasis in patients with ovarian cancer using contrast-enhanced computed tomography-based intratumoral and peritumoral radiomics features by Jing Zhang, Qiyuan Li, Haoyu Liang, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao

“…PurposeTo develop and validate computed tomography (CT)-based intratumoral and peritumoral radiomics signatures for preoperative prediction of lymph node metastasis (LNM) in patients with ovarian cancer (OC).MethodsPatients with pathological diagnosis of OC were retrospectively included. …”
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A Simple Method for Predicting Intensity Change Using the Peak Time Lag Between Lightning and Wind in Tropical Cyclones by Xiangzhen Kong, Yang Zhao, Zhenfeng Qiu, Xinyi Tao, Wenjuan Zhang

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WMRCA + : a weighted majority rule-based clustering method for cancer subtype prediction using metabolic gene sets by Guojun Liu, Zhaopo Zhu, Yongqiang Xing, Hu Meng, Khyber Shinwari, Ningkun Xiao, Guoqing Liu

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Vehicle Motion State Prediction Method Integrating Point Cloud Time Series Multiview Features and Multitarget Interactive Information by Ruibin Zhang, Yingshi Guo, Yunze Long, Yang Zhou, Chunyan Jiang

“…According to the test results, the proposed BiLSTM model based on point cloud multiview and vehicle interaction information is better than other methods in predicting the state of target vehicles. …”
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A Hybrid Spatial–Temporal Deep Learning Method for Metro Tunnel Displacement Prediction Under “Dual Carbon” Background by Jianyong Chai, Limin Jia, Jianfeng Liu, Enguang Hou, Zhe Chen

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MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug–Drug Interactions by Xiang Li, Xiangmin Ji, Chengzhen Xu, Jie Hou, Xiaoyu Zhao, Guodong Peng

“…Known DDI datasets were used to train and evaluate the proposed model. The experimental results indicate that integrating multiple drug features into the hybrid graph method can enhance the DDI prediction accuracy, increases the success rate of combination therapy, and has the potential to enhance drug safety.…”
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Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer by Alexander Pearlman, Christopher Campbell, Eric Brooks, Alex Genshaft, Shahin Shajahan, Michael Ittman, G. Steven Bova, Jonathan Melamed, Ilona Holcomb, Robert J. Schneider, Harry Ostrer

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CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines by Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

“…In order to overcome these shortcomings, a method has been developed for predicting cytoplasm-associated lncRNAs in 15 human cell-lines, identifying which lncRNAs are more abundant in the cytoplasm compared to the nucleus. …”
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Deep Learning‐Based Prediction of Global Ionospheric TEC During Storm Periods: Mixed CNN‐BiLSTM Method by Xiaochen Ren, Biqiang Zhao, Zhipeng Ren, Yan Wang, Bo Xiong

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