Body Mass Index and Its Change from Adolescence to Adulthood Are Closely Related to the Risk of Adult Metabolic Syndrome in China by Bingyang Liu, Yue Li, Jiamei Guo, Yuting Fan, Ling Li, Ping Li

“…Both BMIb and ΔBMI were predictive of MetS at follow-up, with prediction thresholds of 23.47 kg/m2 and 1.95 kg/m2. …”
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Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals by Chuang Lin, Qiong Xiao, Penghui Zhao

“…Conclusions Our model can predict up to 40 hand movements while achieving the highest predicting accuracy compared with other methods. …”
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Forecasting PM2.5 in Malaysia Using a Hybrid Model by Ezahtulsyahreen Ab. Rahman, Firdaus Mohamad Hamzah, Mohd Talib Latif, Azman Azid

“…Abstract Predicting future PM2.5 concentrations based on knowledge obtained from past observational data is very useful for predicting air pollution. …”
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Immunoinformatics Approach to Design a Chimeric CD70-Peptide Vaccine against Renal Cell Carcinoma by Haideh Namdari, Farhad Rezaei, Fatemeh Heidarnejad, Mohammad Yaghoubzad-Maleki, Maryam Karamigolbaghi

“…Molecular docking and dynamics analyses predicted stable interactions between CD70-CPP-TNF and the TNF receptor, indicating potential efficacy. …”
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rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA by Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien

“…While HLS4ML requires full synthesis to obtain resource and latency insights, our method uses trained regression models for immediate pre-synthesis predictions. The prediction models estimate the usage of block RAM, digital signal processors, flip-flops, and look-Up tables, as well as the inference clock cycles. …”
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The GOES‐R Solar UltraViolet Imager by Jonathan M. Darnel, Daniel B. Seaton, Christian Bethge, Laurel Rachmeler, Alison Jarvis, Steven M. Hill, Courtney L. Peck, J. Marcus Hughes, Jason Shapiro, Allyssa Riley, Gopal Vasudevan, Lawrence Shing, George Koener, Chris Edwards, Dnyanesh Mathur, Shelbe Timothy

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Assessing the performance and interpretability of the CNN-LSTM-Attention model for daily streamflow forecasting in typical basins of the eastern Qinghai-Tibet Plateau by Chuchu Zhang, Yuyan Zhou, Fan Lu, Jianwei Liu, Jiayue Zhang, Zeying Yin, Mengyi Ji, Baoqi Li

“…Higher base flow, increased daily minimum temperatures, lower relative humidity, and higher precipitation positively impact the model’s simulation and prediction capabilities.…”
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A Research on Professıonal Anxıety Levels of 3and 4 Grade Students of Faculty of Sport Scıences of Selcuk Unıversıty by Ramazan Topuz, İbrahim Bozkurt, Mehmet Özdemir

“…The aim of this research is to determine the level of professional anxiety of the teacher candidates who are studying in the departments of the Faculty of Sports Sciences, is the prediction of starting teaching profession and continuing their profession; is to examine the anxieties of the profession in terms of various variables. …”
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ICGenomics: A PROGRAM COMPLEX FOR ANALYSIS OF SYMBOL SEQUENCES IN GENOMICS by Y. L. Orlov, A. O. Bragin, I. V. Medvedeva, K. V. Gunbin, P. S. Demenkov, O. V. Vishnevsky, V. G. Levitsky, D. Y. Oshchepkov, N. L. Podkolodnyy, D. A. Afonnikov, I. Grosse, N. A. Kolchanov

“…Examples are: ChIP-seq analysis; functional annotation of gene regulatory regions in nucleotide and amino acid sequences; prediction of nucleosome positioning; and structural and functional annotation of proteins, including their allergenicity and evolution features. …”
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Rapid Emulation of Spatially Resolved Temperature Response to Effective Radiative Forcing by Christopher B. Womack, Paolo Giani, Sebastian D. Eastham, Noelle E. Selin

“…Abstract Effective assessment of potential climate impacts requires the ability to rapidly predict the time‐varying response of climate variables. …”
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Realization and research of self-healing technology of power communication equipment based on power safety and controllability by Danni Liu, Song Zhang, Shengda Wang, Mingwei Zhou, Ji Du

“…The primary objectives include improving fault prediction accuracy, enhancing recovery speed, and ensuring resilience under diverse and high-stress operational conditions. …”
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Comprehensive Analysis of N6-Methyladenosine RNA Methylation Regulators in the Diagnosis and Subtype Classification of Acute Myocardial Infarction by Xianpei Wang, Ying Wu, Ruoyao Guo, Linwei Zhao, Juanjuan Yan, Chuanyu Gao

“…Sensitive markers are necessary for the prediction of the risk of AMI and would be beneficial for managing the incidence rate. …”
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HLA I immunopeptidome of synthetic long peptide pulsed human dendritic cells for therapeutic vaccine design by Amy L. Kessler, Roel F. A. Pieterman, Wouter A. S. Doff, Karel Bezstarosti, Rachid Bouzid, Kim Klarenaar, Diahann T. S. L. Jansen, Robbie J. Luijten, Jeroen A. A. Demmers, Sonja I. Buschow

“…Currently, the design of SLPs relies on in silico prediction and multifactorial T cells assays to determine which SLPs are best cross-presented on DC human leukocyte antigen class I (HLA-I). …”
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A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems by Mario Amrehn, Stefan Steidl, Reinier Kortekaas, Maddalena Strumia, Markus Weingarten, Markus Kowarschik, Andreas Maier

“…Furthermore, an approximation of the findings regarding usability aspects in those studies is introduced, conducted solely from the system-measurable user actions during their usage of interactive segmentation prototypes. The prediction of all questionnaire results has an average relative error of 8.9%, which is close to the expected precision of the questionnaire results themselves. …”
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Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete by Fahid Aslam, Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Abdul Waheed, Arslan Akbar, Muhammad Faisal Javed, Rayed Alyousef, Hisham Alabdulijabbar

“…The results reveal that machine learning proposed adamant accuracy and has elucidated performance in the prediction aspect.…”
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania by Judith Leo, Edith Luhanga, Kisangiri Michael

“…Over the past decades, there have been great achievements in developing epidemic models for the proper prediction of cholera. However, the integration of weather variables and use of machine learning techniques have not been explicitly deployed in modeling cholera epidemics in Tanzania due to the challenges that come with its datasets such as imbalanced data and missing information. …”
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Talent identification and development in judo: A systematic review by Aline Aparecida de Souza Ribeiro, Francisco Zacaron Werneck, João Guilherme Vieira, Leandro Sant’Ana, Kathryn Johnston, Joseph Baker, Jeferson Macedo Vianna

“…On closer examination, there was a high degree of variability in the indicators that were found to discriminate between skilled and less-skilled judo athletes, predict performance and/or predict career pathway. …”
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Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“… In the past five years, the implementation of machine learning (ML) techniques has surged in civil engineering applications, particularly for optimizing and predicting solutions to various challenges.  More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

“…This sophisticated process improves CNN convolutions' stability during feature extraction, which in turn improves the model's overall performance in terms of prediction accuracy. The HAM10000 dataset was used as the main basis for training, evaluating, and comparing all of the models used in this comprehensive research, assuring a consistent and exacting method to progress the field of skin cancer classification. …”
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Estimation of Bearing Capacity of Strip Footing Rested on Bilayered Soil Profile Using FEM-AI-Coupled Techniques by Ahmed M. Ebid, Kennedy C. Onyelowe, M. Salah

“…In this research work, finite element method (FEM) and 2D Plaxis were employed to generate numerical values for bilayered soils bearing a strip footing of width B and depths, h and H, in order to predict the ultimate bearing capacity (UBC) of the strip footing underlain by layered soil profile. …”
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