The Laplacian eigenmaps dimensionality reduction of fMRI data for discovering stimulus-induced changes in the resting-state brain activity by Nikita Pospelov, Alina Tetereva, Olga Martynova, Konstantin Anokhin

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Toxoplasma gondii seropositivity and cognitive functioning in older adults: an analysis of cross-sectional data of the National Health and Nutrition Examination Survey 2011–2014 by Meng Li, Chao Yang, Qingxia Zhao, Zeyu Zhang, Ge Song, Zhe Qu, Xuechun Lin, Hongyu Chen, Weixia Ma, Courtney Rose Standlee

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Finding New Hot Subdwarf Stars in SDSS Images by Jiangchuan Zhang, Yude Bu, Huili Wu, Yuhang Zhang, Shanshan Li, Zhenxin Lei, Zhenping Yi, Xiaoming Kong, Meng Liu

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Identification and analysis of oxidative stress-related genes in endometriosis by Chengmao Xie, Chang Lu, Na Lv, Weimin Kong, Yong Liu

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Selective Reading for Arabic Sentiment Analysis by Mohamed Zouidine, Mohammed Khalil

“…This work introduces a novel deep learning method for Arabic sentiment analysis, arguing that reading the entire input sequence is not always necessary. …”
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Exogenous sex steroid hormones and asthma phenotypes: a study protocol for a prospective cohort analysis with UK-wide primary care data by Aziz Sheikh, Holly Tibble, Athanasios Tsanas, Bright I Nwaru, Azhar Ali, Syed Ahmar Shah, Hilary Critchley, Tracy Jackson, Fatima Almaghrabi

“…Our study aims to enhance understanding of exogenous sex hormones’ role in asthma development and manifestation, considering phenotypic heterogeneity and focusing on metabolic syndrome-linked asthma that has shown increased severity in females.Methods and analysis A cohort study using primary care data from the Clinical Practice Research Datalink (CPRD) databases linked with additional data sources (Hospital Episode Statistics, ethnicity and deprivation) will include individuals aged 16–70 years, spanning 1 January 2005 to 31 December 2019. …”
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A Deep Learning-Based Prediction and Forecasting of Tomato Prices for the Cape Town Fresh Produce Market: A Model Comparative Analysis by Emmanuel Ekene Okere, Vipin Balyan

“…The proposed deep learning-based method significantly improved the results versus other conventional machine learning and statistical time series analysis methods.…”
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The chronic heart failure evolutions: Different fates and routes by Piergiuseppe Agostoni, Mattia Chiesa, Elisabetta Salvioni, Michele Emdin, Massimo Piepoli, Gianfranco Sinagra, Michele Senni, Alice Bonomi, Stamatis Adamopoulos, Dimitris Miliopoulos, Massimo Mapelli, Jeness Campodonico, Umberto Attanasio, Anna Apostolo, Emanuele Pestrin, Agostino Rossoni, Damiano Magrì, Stefania Paolillo, Ugo Corrà, Rosa Raimondo, Antonio Cittadini, Annamaria Iorio, Andrea Salzano, Rocco Lagioia, Carlo Vignati, Roberto Badagliacca, Pasquale Perrone Filardi, Michele Correale, Enrico Perna, Marco Metra, Gaia Cattadori, Marco Guazzi, Giuseppe Limongelli, Gianfranco Parati, Fabiana De Martino, Maria Vittoria Matassini, Francesco Bandera, Maurizio Bussotti, Federica Re, Carlo M. Lombardi, Angela B. Scardovi, Susanna Sciomer, Andrea Passantino, Caterina Santolamazza, Davide Girola, Claudio Passino, Marlus Karsten, Savina Nodari, Giulio Pompilio, MECKI score research group

“…We implemented a topological data analysis (TDA), based on 43 variables derived from clinical, biochemical, cardiac ultrasound, and exercise evaluations, to identify several patients' clusters. …”
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An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand by Nutchapon Prasertsoong, Nattapong Puttanapong

“…The study also merges these satellite-based indices with official provincial GDP data from 2018 to 2022 to empirically analyze socioeconomic impacts using four machine learning algorithms. …”
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Predictive Deep Learning for High‐Dimensional Inverse Modeling of Hydraulic Tomography in Gaussian and Non‐Gaussian Fields by Quan Guo, Ming Liu, Jian Luo

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Effectiveness of Web-supported Videos on Students’ Academic Achievement, Critical Thinking Skills and Three-dimensional Learning by Salih Gülen, İsmail Dönmez

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State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…Recent trends in transformer fault diagnosis include the use of advanced monitoring systems and data analysis techniques, and implementing effective FDD strategies can prevent costly repairs, minimize downtime, and enhance the overall reliability of power systems. …”
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Effectiveness of Jigsaw Type Learning Model on Mathematics Learning Outcomes by Anissatussa’diyah Anissatussa’diyah, Aan Widiyono

“…The results indicate that the use of the Jigsaw model significantly positively impacts students' learning outcomes. Data analysis using this method shows a mean value of -29.523, with a standard deviation of 9.47428 and a standard error mean of 2.06746. …”
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ArabSis: Arabic Corpus Sentiment Analysis by Ziad Doughan, Sari Itani, Samir Itani

“…Our work introduces a reproducible framework for creating specialized corpora in low-resource languages, enabling future research in regressive dimensional sentiment analysis and other specialized NLP applications. The ArabSis corpus, developed through systematic data augmentation and human labelling, facilitates advanced analysis using traditional NLP techniques (TF-IDF, Bag of Words) and modern deep learning approaches. …”
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An Analysis of the Impact of Differentiated Instruction on Academic Achievement Among Grade X Students in Vocational Education by Dedi Aviadi, Albert Efendi Pohan, Tubagus Pamungkas

“…Employing a classroom action research design over two cycles, data were collected through learning outcome tests, student attitude observations, and documentation. …”
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Pendekatan Konseling Kelompok Analisis Transaksional Untuk Meningkatkan Motivasi Belajar Peserta Didik SMP by Siti Nurdiyaningsih, Asrowi Asrowi, Rian Rokhmad Hidayat

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Amazon Web Service–Google Cross-Cloud Platform for Machine Learning-Based Satellite Image Detection by David Pacios, Sara Ignacio-Cerrato, José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Nikolaos Schetakis, Konstantinos Stavrakakis, Alessio Di Iorio, Jorge J. Gomez-Sanz, Luis Vazquez

“…Satellite image analysis is a critical component of Earth observation and satellite data analysis, providing detailed information on the effects of global events such as the COVID-19 pandemic. …”
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PROBLEM-BASED LEARNING: THE IMPLEMENTATION AND THE URGENCY FOR IMPROVING LEARNING QUALITY. by Kokom Komariah, Herminarto Sofyan, Wagiran Wagiran

“…PROBLEM-BASED LEARNING: IMPLEMENTASI DAN URGENSINYA BAGI PENINGKATAN KUALITAS PEMBELAJARAN Abstrak Penelitian ini bertujuan untuk menggambarkan implementasi model Problem-based Learning (PBL) dan urgensinya bagi peningkatan kualitas pembelajaran di SMK. …”
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Learning Motivation and Mothers’ Democratic Parenting Style on Learning Behaviours by Rr. Hayu Mayangsari, Sri Aryanti Kristianingsih, Maria Goretti Adiyanti

“…The results of the partial regression analysis revealed a significant positive correlation between learning motivation and learning behaviors, with a regression coefficient of 0.400 and a significance value of 0.000 (p<0.05). …”
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THE EFFECT OF THE SAVI LEARNING MODEL ON THE COGNITIVE LEARNING OUTCOME OF STUDENTS by Indar Kusrini, Peduk Rintayati, Moh Salimi

“…Purpose – The cognitive learning outcomes of pupils are essential for assessing student progress and the quality of the implemented learning procedure. …”
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