Training Load and Current Soreness Predict Future Delayed Onset Muscle Soreness in Collegiate Female Soccer Athletes by Brett S. Pexa, Christopher J. Johnston, Jeffrey B Taylor, Kevin R. Ford

“… # Conclusions Training load variables paired with the current day's DOMS significantly predict lower extremity DOMS in the future, with number of decelerations, accelerations, and HRmax best predicting future DOMS. …”
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Radiomic prediction for durable response to high‐dose methotrexate‐based chemotherapy in primary central nervous system lymphoma by Haoyi Li, Mingming Xiong, Ming Li, Caixia Sun, Dao Zheng, Leilei Yuan, Qian Chen, Song Lin, Zhenyu Liu, Xiaohui Ren

“…This study aimed to develop and validate radiomic‐based models to predict the durable response (DR) to high‐dose methotrexate (HD‐MTX)‐based chemotherapy in PCNSL patients. …”
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Elevated POSTN expression predicts poor prognosis and is associated with radioresistance in cervical cancer patients treated with radical radiotherapy by Cui-qin Huang, Wen-tao Xiao, Xiang-rong Yao, Zhi-min Li, Jun-yan He

“…A prognostic nomogram integrating POSTN expression and clinicopathological features demonstrated superior predictive accuracy for OS. Drug sensitivity analysis suggested that high POSTN expression may be linked to resistance to multiple chemotherapeutic agents. …”
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The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization by Fei Yin, Yong Hao, Taoli Xiao, Yan Shao, Man Yuan

“…Afterwards, the QPSO algorithm was proposed to optimize the weights and thresholds of the BP network, which showed that the minimum error of QPSO-BP was merely 9.4% in predicting the depth of bearing stratum and 2.9% in predicting the buried depth of pile foundation. …”
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Flexural Strength Prediction of Welded Flange Plate Connections Based on Slenderness Ratios of Beam Elements Using ANN by Amir A. Hedayat, Ehsan Jazebi, Saman AsadAbadi, Amin Iranpour

“…Proposed theoretical formulas and artificial neural network- (ANN-) based models developed in this study were able to adequately predict the connection strength.…”
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Predictive Analytics of In-Service Bridge Structural Performance from SHM Data Mining Perspective: A Case Study by Qiwen Jin, Zheng Liu, Junchi Bin, Weixin Ren

“…In-service bridge structural performance analysis and prediction are usually complicated and challenging because of many unknown and uncertain factors. …”
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One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling by K. P. Moustris, P. T. Nastos, A. G. Paliatsos

“…Concerning the PET prognosis, ANNs have a remarkable forecasting ability to predict the extreme daily PET values one day ahead, as well as the persistence of extreme conditions during the day, at a significant statistical level of .…”
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Enhanced extreme learning machine via competitive learning SSA (CL-SSA) for load capacity factor prediction by Nuriddin Tahir S Luoka, Wagdi M.S. Khalifa

“…Furthermore, the study assesses the effectiveness of the CLSSA-enhanced ELM (ELM-CLSSA) in predicting the load capacity factor. The findings reveal that the hybrid ELM-CLSSA framework significantly outperforms both alternative approaches and the traditional ELM framework in terms of training and prediction accuracy, achieving an impressive accuracy rate of 97%. …”
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Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN) by Robert A. Sowah, Kwadwo B. Ofori-Amanfo, Godfrey A. Mills, Koudjo M. Koumadi

“…The performance of the ANN as a predictive technique for attack detection, isolation, and reconfiguration was measured on a dataset with network-varied traffic conditions and mobility patterns for multiple attacks. …”
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A multi-modal deep learning model for prediction of Ki-67 for meningiomas using pretreatment MR images by Chaoyue Chen, Yanjie Zhao, Linrui Cai, Haoze Jiang, Yuen Teng, Yang Zhang, Shuangyi Zhang, Junkai Zheng, Fumin Zhao, Zhouyang Huang, Xiaolong Xu, Xin Zan, Jianfeng Xu, Lei Zhang, Jianguo Xu

“…The prediction was significantly associated with the growth of asymptomatic small meningiomas. …”
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Cord Direct Antiglobulin Test for Predicting the Need for Phototherapy in Neonates with ABO Incompatibility: A Prospective Cohort Study by Ranjith Balan, Sakthipriya Balaji, Arun Kumar, Subash Sundar, Shrinidhi Krishnan, Ashok Chandrasekaran

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Impairment in personality functioning predicts young adult suicidal ideation and suicide attempt above and beyond depressive symptoms by Kiran Boone, Kennedy M. Balzen, Carla Sharp

“…Overall personality functioning was a stronger predictor than depression symptoms, age, and gender when included in the same model predicting suicidal ideation or attempt. Both the self and interpersonal components of personality functioning were significantly associated with suicidal ideation and attempt, with larger effect sizes for self-functioning. …”
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Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer by Yibin Liu, Shouze Liu, Lu Yan, Qianqian Zhang, Wenhua Liu, Xianghua Huang, Shikai Liu

“…Besides, not only was this model a prognostic factor independent of other clinical characteristics but it predicted the intensity of the immune response in OC. …”
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Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

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Low Distribution of TIM-3+ Cytotoxic Tumor-Infiltrating Lymphocytes Predicts Poor Outcomes in Gastrointestinal Stromal Tumors by Chun Zhuang, Bo Ni, Zi-Zhen Zhang, Wen-Yi Zhao, Lin Tu, Xin-Li Ma, Lin-Xi Yang, Hui Cao, Ming Wang

“…Indicated by prognosis analysis, high TIM-3 expression of TILs was associated with improved outcome, while low expression levels of TIM-3 in combination with low amounts of CD8+ and CD56+ TILs predict extremely poor survival. The integrated analysis of TIM-3+, CD8+, and CD56+ TILs as one biomarker is a reliable independent predictor of prognosis. …”
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Can CT Image Reconstruction Parameters Impact the Predictive Value of Radiomics Features in Grading Pancreatic Neuroendocrine Neoplasms? by Florent Tixier, Felipe Lopez-Ramirez, Alejandra Blanco, Mohammad Yasrab, Ammar A. Javed, Linda C. Chu, Elliot K. Fishman, Satomi Kawamoto

“…SVM models were employed to predict tumor grade using the entire set of radiomics features or only those identified as harmonizable. …”
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The Cost of Regulating Effort: Reward and Difficulty Cues With Longer Prediction Horizons Have a Stronger Impact on Performance by Nanne Kukkonen, Senne Braem, Jens Allaert, Joshua O. Eayrs, Nicoleta Prutean, S. Tabitha Steendam, C. Nico Boehler, Jan R. Wiersema, Wim Notebaert, Ruth M. Krebs

“…In the random-dot-motion task, a high reward expectancy resulted in better accuracy, especially in easy trials, but only with long prediction horizon. Similarly, in the Stroop task, the reward facilitation of reaction time was only observed after reward cues with a long prediction horizon. …”
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Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction by Yu-Tzu Chang, Jinn Lin, Jiann-Shing Shieh, Maysam F. Abbod

“…The purpose in this paper is to find the optimal initial weights of neural networks via genetic algorithm to improve the predictability. Area under the ROC curve (AUC) was used to assess the performance of neural networks. …”
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Prevalence and predictive risk factor analysis of potentially malignant oral mucosal lesions among gond tribes of Bhopal by P. Arathi Menon, S. Sahana, Shubhangi Mhaske, R. Hari

“…The purpose of the present study is to identify the predictive risk factors for potentially premalignant oral mucosal lesions among a vulnerable Indigenous community in Bhopal. …”
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Physical-Rules-Based Adaptive Neuro-Fuzzy Inferential Sensor Model for Predicting the Indoor Temperature in Heating Systems by Liang Huang, Zaiyi Liao, Lian Zhao

“…In attempt to improve both the accuracy and robustness of inferential model, this study aims to investigate how to improve the performance of inferential sensors using physical-rules-based ANFIS in prediction of the hydraulic system temperature in order to adapt the good power needed in the dwellings. …”
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