Clinical significance of serum cystatin C‐to‐creatinine ratio as a surrogate marker for incident osteoporotic fracture predictions by Ichiro Yoshii, Naoya Sawada, Tatsumi Chijiwa

“…Conclusions These results suggested that CysC/Cr may be a predictive marker of incident osteoporotic fractures. …”
Get full text

Predictive Model for Deformation of Adjacent Pipelines Caused by Tunnel Boring in Twin-Lane Tunnels in Soft Ground Layers by Kezhong Wang, Qianjiang Zheng, Maowen Hang

Subjects: Get full text

Polysomnographic features of children with obesity: body mass index predict severe obstructive sleep apnea in obese children? by Rungrat Sukharom, Prakarn Tovichien, Kanokporn Udomittipong, Pinyapach Tiamduangtawan, Wattanachai Chotinaiwattarakul

“…These findings suggest a cutoff BMI for predicting severe OSA of greater than 29.2 kg/m2 with 81.3% sensitivity and 48.5% specificity. …”
Get full text

The Influence of the Intermittent Behavior of the Nocturnal Atmospheric Flow on the Prediction of the Diurnal Temperature Range: A Simplified Model Analysis by Leandro L. Gonzales, Felipe D. Costa, Otávio C. Acevedo, Daniel M. dos Santos, Luiz E. Medeiros, Arlindo D. Carvalho Junior, Franciano S. Puhales, Vagner Anabor, Luis G. N. Martins, Giuliano Demarco, Gervásio A. Degrazia

“…It implies that it is difficult to predict the diurnal temperature range in places where low winds are common.…”
Get full text

Explaining the Unexplained: Examining the Predictive Value of Semen Parameters, Sperm DNA Fragmentation and Metal Levels in Unexplained Infertility by Navdeep Kaur Ghuman, Kamla Kant Shukla, Srividhya Nandagopal, Sunil Raikar, Shailendra Kumar, Priyanka Kathuria, Dinesh Choudhary, Poonam Elhence, Pratibha Singh

“…Background: There is ongoing research to find an optimum modality to predict male fertility potential. Aims: To compare the semen parameters, sperm DNA damage and seminal metal levels of Zinc, Lead and Aluminium among the male partners of couples with unexplained infertility and men with proven fertility. …”
Get full text

The Role of Severe Vitamin D Deficiency in Predicting the Risk of Severe Exacerbation in Patients With Chronic Obstructive Pulmonary Disease by Zhou L, Han C, Zhou Y

Get full text

Influence of Hydraulic Domain on Vibration Control and Overload Prediction of High-Speed Punching Press: Multidomain Modelling and Experiment by Teng Xu, Qinxiang Xia, Xiaoyu Wu, Jiaqi Ran, Feng Gong, Chunying Lee

Get full text

Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review by Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, Antonio Affinito, Salvatore Cuomo, Francesco Loreto, Michelina Ruocco

“…We conducted a comprehensive review of the use of Artificial Intelligence (AI) techniques to develop forecasting models based on soil microbiota data able to monitor and predict soil health. We also investigated the potentiality of AI-based Decision Support Systems (DSSs) for improving the use of microorganisms to enhance soil health and fertility. …”
Get full text

Corrigendum to “Plant MicroRNA Prediction by Supervised Machine Learning Using C5.0 Decision Trees” by Philip H. Williams, Rodney P. Eyles, Georg Weiller

Get full text

Unequal loss protection scheme using a quality prediction model in a Wi-Fi broadcasting system by Dong Hyun Kim, Jong Deok Kim

“…This study proposes an effective, prediction-based unequal loss protection algorithm that can be applied to wireless local area network–based broadcasting systems. …”
Get full text

Enhancing undrained shear strength prediction: a robust hybrid machine learning approach with naïve Bayes modeling by Chen Fang, Ying Li, Yang Shi

“…This will provide a neat methodology for improving accuracy in USS predictions and maintaining the optimality of the model performance. …”
Get full text

Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms by Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka, Muhammad Jehangir

“…., machine learning techniques on the nonfinancial firms of Pakistan and focuses on the practical application of AI techniques for the accurate prediction of corporate risks which in turn will lead to the automation of corporate risk management. …”
Get full text

Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach by Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro

Subjects: Get full text

The role of academic achievement in mathematically predicting licensure examination for teachers outcomes: Insights from secondary education graduates by Rodillo Makiling, Christian G. Abalos, Ma. Leah I. Abad, Jomar C. Cabuquin

Subjects: Get full text

Mathematical Physics Modelling and Prediction of Oil Spill Trajectory for a Catenary Anchor Leg Mooring (CALM) System by Xuanze Ju, Zili Li, Baohui Dong, Xianwu Meng, Shuguang Huang

Get full text

Prediction model, risk factor score and ventilator-associated pneumonia: A two-stage case-control study by Hua Meng, Yuxin Shi, Kaming Xue, Di Liu, Xiongjing Cao, Yanyan Wu, Yunzhou Fan, Fang Gao, Ming Zhu, Lijuan Xiong

Subjects: Get full text

Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework. by Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, Manning Yu, Lihao Zhang

“…As education increasingly relies on data-driven methodologies, accurately predicting student performance is essential for implementing timely and effective interventions. …”
Get full text

Individualized prediction of multi-domain intelligence quotient in bipolar disorder patients using resting-state functional connectivity by Xiaoyu Li, Wei Wei, Linze Qian, Xiaojing Li, Mingli Li, Ioannis Kakkos, Qiang Wang, Hua Yu, Wanjun Guo, Xiaohong Ma, George K. Matsopoulos, Liansheng Zhao, Wei Deng, Yu Sun, Tao Li

“…The present study aimed to infer BD patients’ IQ scores at the individual level using a prediction model. Methods: We applied a cross-validated Connectome-based Predictive Modeling (CPM) framework using resting-state fMRI functional connectivity (FCs) to predict BD patients’ IQ scores, including verbal IQ (VIQ), performance IQ (PIQ), and full-scale IQ (FSIQ). …”
Get full text

Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks by Yuxin Zhao, Shenghong Li, Jia Hou

“…Traditional link quality prediction algorithms are simply based on the statistical information of the links in the wireless sensor network. …”
Get full text

Gamma-Glutamyl Transpeptidase-to-Platelet Ratio Predicts Significant Liver Fibrosis of Chronic Hepatitis B Patients in China by Tianyi Ren, Huan Wang, Ruihong Wu, Junqi Niu

Get full text