Digital literacy curriculum transformation to overcome filter bubble in Pancasila character understanding by A. Achdyat, Dasim Budimansyah, Encep Syarif Nurdin, Mupid Hidayat

“…The results show that the bubble filter phenomenon on social media affects the way individuals access and understand information, mainly because algorithms tend to present content that matches personal preferences, thus limiting exposure to alternative perspectives. …”
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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…Images were segmented using the SLIC algorithm into 64 × 64 patches, from which six Gray Level Co-occurrence Matrix (GLCM) features were extracted: contrast, correlation, energy, homogeneity, dissimilarity, and angular second moment (ASM). …”
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Seasonal optimization of solar PV tilt angles for enhanced energy efficiency in Rajasthan, India by Saaransh Choudhary, Shiv Lal, Sumit Verma

“…The maximum solar radiance mainly depends on latitudes and optimal tilt angle. …”
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Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L. by Izreen Izzati Razalli, Muhammad-Redha Abdullah-Zawawi, Rabiatul Adawiah Zainal Abidin, Sarahani Harun, Muhamad Hafiz Che Othman, Ismanizan Ismail, Zamri Zainal

“…For the tungro virus and blast pathogen, enrichment was mainly observed in the defence and stress responses. …”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

“…Conventional tremor detection methods have mainly focused on resting state. However, resting tremor is not always sufficient to accurately distinguish PD tremor from other tremor disorders such as essential tremor. …”
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Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China’s Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Socia... by Cuiting Li, Dongmei Yan, Shuo Chen, Jun Yan, Wanrong Wu, Xiaowei Wang

“…Utilizing 2017–2021 NPP/VIIRS low-light remote sensing imagery to extract total nighttime light data, this study proposed an EPC prediction method based on the K-Means clustering algorithm combined with multiple indicators integrated with socio-economic factors. …”
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Assessment of Cognitive Function with Sleep Spindle Characteristics in Adults with Epilepsy by Yajin Huang, Yaqing Liu, Wenjun Song, Yanjun Liu, Xiaoqian Wang, Juping Han, Jiang Ye, Hongmei Han, Li Wang, Juan Li, Tiancheng Wang

“…Spindle characteristics during N2 sleep were extracted using a learning-based system for sleep staging and an automated spindle detection algorithm. We investigated the difference between cognitive subgroups in spindle characteristics. …”
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Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

“…The classic CPDP methods mainly concentrated on applying metric features to predict defects. …”
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On the electron agyrotropy during rapid asymmetric magnetic island coalescence in presence of a guide field by E. Cazzola, M. E. Innocenti, M. V. Goldman, D. L. Newman, S. Markidis, G. Lapenta

“…In a previous study, three main domains were identified, in the case without guide field, as X, D, and M regions featuring different reconnection evolutions. …”
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A Systematic Literature Review on the Application of Machine Learning for Predicting Stunting Prevalence in Indonesia (2020–2024) by Emilda Indrisari, Hidayat Febiansyah, Bambang Adiwinoto

“…The analysis focused on the algorithms used, data types, model performance, and implementation challenges. …”
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Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology by Ru Liu, Wenxi Shen

“…The IPM-EFPM system gathers data from wearable sensors, uses real-time location systems, and employs artificial intelligence's Long Short-Term Memory (LSTM) and machine learning algorithms to uncover new insights in healthcare and sports. …”
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Impulse Noise Parameter Assessment in a Batch Radio Channel by A. Yu. Bekkiev, V. A. Makoviy

“…Formulas that allow synthesizing the device operation algorithms are obtained. The structure chart of the measurer is developed; the algorithms used to assess measured parameters are given.…”
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Pascal as the Driving Force of Informatics Education in Schools in Poland by Maciej M. Sysło

“…As a confirmation of the conclusions drawn from the discussion in the ABACUS magazine (1984) on “Which is the best programming language for a first course in computer science,” Pascal very quickly became the basic programming language in Polish schools as a tool for practicing algorithmics. The first informatics textbook was published in 1988 and in it, after a short Logo course, Pascal took the main place as a language for developing solutions to algorithmic problems in the form of computer programs. …”
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Machine learning Techniques for Spondylolisthesis Diagnosis: a review by Rahma Rabee Aziz, Mohammed S. Jarjees, Mohammad R. Aziz, Ali Asim Hameed

“…Methodologies, sample sizes, algorithms, and measurement accuracy are the main topics of interest. …”
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THE POSTMODERN CITY TEXT IN SERHIY ZHADAN’S POETICS by Tetiana M. Starostenko., Ianina V. Gurtova

“…The purpose of the research paper is to distinguish and analyze the main categories of the Postmodern city as a text in poetry and prose by Serhiy Zhadan. …”
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Nailfold videocapillaroscopy in patients with deficiency of adenosine deaminase 2 (DADA2): a case-control study by Pietro Francesco Bica, Caterina Matucci-Cerinic, Elvis Hysa, Andrea Cere, Silvia Rosina, Stefano Volpi, Roberta Caorsi, Alberto Sulli, Sabrina Paolino, Vanessa Smith, Maurizio Cutolo, Marco Gattorno

“…Abstract Background Deficiency of adenosine deaminase 2 (DADA2) is a rare monogenic autoinflammatory disease mainly characterized by the presence of systemic inflammation and vascular manifestations such as vasculitis and early-onset stroke. …”
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Improving the efficiency of the automated process of drying flotation concentrate in a drum drying furnace by Kovalev Igor, Kulmurodova Nafisa, Kulmurodov Zarifjon, Voroshilova Anna, Kadirov Yorkin, Ibodullaeva Dinara

“…The study focuses on three main areas of optimization: managing humidity conditions, increasing energy efficiency and increasing the service life of equipment. …”
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A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System by Deng Yongsheng, Jiao Fengshun, Zhang Jie, Li Zhikeng

“…Firstly, the basic information of distributed PV system is introduced, and the main influence factors affecting the power output of distributed PV system are determined. …”
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MACHINE LEARNING MODELS FOR PERFORMANCE PREDICTION OF YOUNG PLAYERS IN FOOTBALL ACADEMIES – A REVIEW by Armand Florin Bertea, Cezar Honceriu

“…The main characteristics of these categories are reviewed. …”
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The ‘Implicit Intelligence’ of artificial intelligence. Investigating the potential of large language models in social science research by Ottorino Cappelli, Marco Aliberti, Rodrigo Praino

“…This paper addresses this gap. Our main hypothesis is that existing Artificial Intelligence Large Language Models (LLMs) can closely align with human expert assessments in specialized social science surveys. …”
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