Discourse Analysis of Merdeka Belajar Curriculum Application in Madrasahs toward the Islamic Religious Education Learning System by Muhammad Muhson

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Prediction of injuries in elite soccer players with the analysis of asymmetries in the CMJ through the use of Machine Learning tools by Ángel Aceña Rodríguez, Alvaro Vita, Raul Quintana, Carlos Reyes, Aitor Abal, Pol Corpas, Luis Vita, David Agusti, Enrique Portaz

“…Methodology: Through the use of force platforms (ForceDecks, Valdperformance) and 4 machine learning models, data from 29 Asian Football Confederation (AFC) Champions League elite level professional soccer players were analyzed during a regular season (with a total of 1265 jumps analyzed, during the days Match Day Training MD+1, MD+2 and MD-1). …”
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A Systematic Review and Meta-Analysis of Perceptual Learning and Video Game Training for Adults with Monocular Amblyopia by Xiaolu Ming, Gantian Huang, Xiaohang Chen, Meng Liao, Longqian Liu

“…Abstract Introduction Amblyopia is a neurodevelopmental disorder characterized by a reduction in best-corrected visual acuity (BCVA). This meta-analysis aimed to analyze the effectiveness of perceptual learning and video game training for adults with amblyopia. …”
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Extremist Ideology Classification in Kazakh: A Multi-Class Approach Using Machine Learning and Psycholinguistic Analysis by Shynar Mussiraliyeva, Milana Bolatbek, Kymbat Baisylbayeva

“…We employ a hybrid methodology that combines traditional text vectorization techniques, machine learning algorithms, and a psycholinguistic analysis module (PLAM) specifically adapted for the Kazakh language. …”
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EXPLORING THE USE OF MANDARIN PRONUNCIATION LEARNING STRATEGIES AMONG MFL LEARNERS IN MALAYSIA: ANALYSIS OF GENDER DIFFERENCES by Ting Hie-Ling, Ooi Sing Ee

“…T-test analysis employed in this study also portrayed that only cognitive learning strategies displayed a significant difference between male and female learners in Mandarin pronunciation learning. …”
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A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction by Dimple Tiwari, Bhoopesh Singh Bhati, Bharti Nagpal, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…A pretty significant thing for this presented model is that it can process multilingual and cross-platform social media data. This could be achieved by combining LSTMs with multilingual embeddings, fine-tuning, and effective preprocessing for providing accurate and robust sentiment analysis across diverse languages, platforms, and communication styles.…”
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Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

“…Recent advances in voice analysis and machine learning have shown potential for providing more objective screening methods. …”
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EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks by Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong, Xin Wang, Yang Chen

“…To ensure comprehensiveness, EasyHypergraph designs data structures to support both hypergraph analysis and hypergraph learning. …”
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Sustainable Energy and Exergy Analysis in Offshore Wind Farms Using Machine Learning: A Systematic Review by Hamid Reza Soltani Motlagh, Seyed Behbood Issa-Zadeh, Abdul Hameed Kalifullah, Arife Tugsan Isiacik Colak, Md Redzuan Zoolfakar

“…This literature review critically examines the development and optimization of sustainable energy and exergy analysis software specifically designed for offshore wind farms, emphasizing the transformative role of machine learning (ML) in overcoming operational challenges. …”
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Advancing non-target analysis of emerging environmental contaminants with machine learning: Current status and future implications by Alexa Canchola, Lillian N. Tran, Wonsik Woo, Linhui Tian, Ying-Hsuan Lin, Wei-Chun Chou

“…However, interpreting the vast datasets generated by HRMS is complex and requires advanced data processing techniques. Recent advancements in machine learning (ML) models offer great potential for enhancing NTA applications. …”
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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform by Sara Bagherzadeh, Mohammad Reza Norouzi, Amirhesam Ghasri, Pouya Tolou Kouroshi, Sepideh Bahri Hampa, Fatemeh Farokhshad, Ahmad Shalbaf

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Machine-learning aided calibration and analysis of porous media CFD models used for rotating packed beds by Ahmed M. Alatyar, Abdallah S. Berrouk

“…To this end, a direct sensitivity analysis is detailed to supplement a machine-learning (ML) algorithm built for calibrating resistance coefficients needed for porous media modelling. …”
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Sentiment and Emotion Network Analysis—SENA: An Analytic Framework and No-Code Software to Integrate Natural Language Processing, Linguistic Analysis, and Data Science with Qualita... by Manuel S. González Canché, Kaiwen Zheng

“…Based on this integration, we refer to the resulting analytic framework and software as Sentiment and Emotion Network Analysis—SENA. As part of our methodological and research design discussion, we also illustrate how to integrate SENA with machine learning text classification of documents or open-ended responses. …”
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Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients by Eva Paddenberg-Schubert, Kareem Midlej, Sebastian Krohn, Iqbal M. Lone, Osayd Zohud, Obaida Awadi, Samir Masarwa, Christian Kirschneck, Nezar Watted, Peter Proff, Fuad A. Iraqi

“…Hierarchical clustering analysis used the Euclidean distances between data points and Ward’s minimum variance method. …”
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Identification of potential biomarkers and mechanisms for keloid disorder based on comprehensive bioinformatics analysis and machine learning algorithms by Bowen Zheng, Jianxiong Qiao, Xiaoping Yu, Hanghang Zhou, Anqi Wang, Xuanfen Zhang

“…This study sought to identify biomarkers and potential therapeutic targets for KD through an integrative bioinformatics approach and machine learning analysis of RNA sequencing data. Methods RNA sequencing was performed on skin tissue samples from 13 patients with KD and 14 healthy controls. …”
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Terms of use of judicial acts for machine learning (analysis of some judicial decisions on the protection of property rights) by E. I. Alekseevskaya

“…The purpose of this article is to discover whether the current Russian judicial decisions may serve as input data for a machine learning algorithm in future. …”
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Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

“…The intrusion detection system (IDS) model, which can identify the presence of intruders in the network and take some predefined action for safe data transit across the network, is advantageous in achieving security in both simple and advanced network systems. …”
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Unveiling Salt Tolerance Mechanisms in Plants: Integrating the KANMB Machine Learning Model With Metabolomic and Transcriptomic Analysis by Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li

“…In this study, a novel machine learning model, KANMB is introduced, designed to analyze integrated multi‐omics data from the natural halophyte Spartina alterniflora under various NaCl concentrations. …”
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Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis by Ava Mohammadi, Gonzalo Napoles, Yamisleydi Salgueiro

“…Beyond predictive accuracy, interpretability analysis challenges the assumption that attention mechanisms reliably capture feature importance. …”
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Prognosis of COVID-19 Using Artificial Intelligence: A Systematic Review and Meta-analysis by Saeed Reza Motamedian, Negin Cheraghi, Sadra Mohaghegh, Elham Babadi Oregani, Mahrsa Amjadi, Parnian Shobeiri, Niusha Solouki, Nikoo Ahmadi, Yassine Bouchareb, Arman Rahmim

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