Stability Prediction in Sustainable Energy Systems Using Machine Learning Models by Md Sarowar Hossain, Mohammad A. Abido

“…By analyzing diverse datasets covering factors like demand, supply, environmental variables, and grid dynamics, machine learning models can capture complex patterns in power system behavior. The proposed approach aims to improve the reliability of stability predictions, allowing for proactive decision-making and real-time interventions. …”
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Exploring gender differences in empathy development among medical students: a qualitative analysis of reflections on juvenile correctional school visits by Hsiang-Chin Hsu, Tzu-Ching Sung

“…Using a qualitative analysis of reflective journals collected from 28 participants, the study employed thematic analysis to identify gender-based patterns in emotional engagement, interpretive framing, and learning outcomes. …”
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Representation of Authorial Stance in German Scientific Text: Diachronic Change by Y. S. Klochkova

“…The topicality of the research question is due to the growing interest in the evolution of discourse in general and of discursive patterns in specific spheres of communication, such as scientific communication in particular. …”
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The role of transformational leadership in promoting cultural change in Eswatini High Schools by Naboth Mudavanhu Phebeni, Phumuzani Mpofu

“…Thematic analysis, a robust method that integrates data, uncovers insights, and formulates patterns and trends, was employed to analyse the collected data, to unearth key leadership practices that contribute to a thriving school environment ensuring the study's rigor and originality. …”
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Strategic Digital Water Resources Management: Challenges and Opportunities in the Period of Industrial Transformation and Climate Change by Ahmad Anaraki Mohammadi

“…However, even the most advanced technologies and systems—designed to identify users’ water consumption patterns and provide detailed analysis and data—come with their own set of challenges. …”
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How artificial intelligence reduces human bias in diagnostics? by Artur Luczak

“…Artificial Intelligence (AI), particularly Deep Neural Networks (DNNs), offers transformative potential to overcome these limitations by automating behavioral analyses and reducing biases in diagnostic practices. DNNs excel in processing complex, high-dimensional data, allowing for the detection of subtle behavioral patterns critical for diagnosing neurological disorders such as Parkinson's disease, strokes, or spinal cord injuries. …”
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Key performance indicators for optimizing academic performance and course design in online educational platforms by Sonia Val, Alejandro Quintas

“…This study employed a quantitative, correlational design to examine the relationship between students’ interaction patterns on a digital learning platform and their academic performance, and data from 63 postgraduate students were analyzed through Moodle interaction logs. …”
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Automated sleep staging using sequential XGBoost and multi-scale temporal fusion by Jiří Kuchyňka, Oldřich Vyšata

“…Abstract Sleep stage classification is crucial in sleep medicine, but manual scoring is time-consuming, and automated solutions often struggle with complex sleep patterns. This study introduces a novel approach combining multi-scale temporal fusion with sequential XGBoost (eXtreme Gradient Boosting) processing. …”
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Enhancing gas concentration prediction and ventilation efficiency in deep coal mines: a hybrid DL-Koopman and Fuzzy-PID framework by Keyi Yuan, Ke Gao, Yujiao Liu

“…By analyzing historical data on gas concentrations and wind speeds, the model identifies underlying patterns to develop a robust predictive framework. …”
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Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka, Patchanok Srisuradetchai

“…The existing literature often lacks practical methodologies for creating predictive intervals, especially for time series with trends and seasonal patterns. …”
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A bibliometric review of evergreening loans literature: An analysis of scopus-indexed publications by Mohammad Q. M. Momani

“…Abstract This paper employs a comprehensive bibliometric approach to analyse the growth trajectory, publication patterns, journals, global author distribution, scientific output, and thematic focus within the field of evergreening loans. …”
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Using Eye-Tracking to Assess Dyslexia: A Systematic Review of Emerging Evidence by Eugenia I. Toki

“…This study explores key questions, including how eye-tracking outcomes guide intervention strategies and influence educational practices, and assesses the practicality and time efficiency of these evaluations in real-world settings. …”
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Agroecological strategies for innovation and sustainability of agriculture production in the climate change context: a comparative analysis between California and Italy by Lorenzo Negri, Sara Bosi, Giovanni Dinelli

“…Agriculture is profoundly affected by climate change, with regions like California and Italy experiencing significant challenges due to rising temperatures, altered precipitation patterns, and extreme weather events. Climate change is expected to reduce yields of specialty crops by up to 30% due to lower productivity and crop failure. …”
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An Analysis of Stakeholder Management in Project Performance: A Case of Lusaka 400 Road Construction Projects by Dalisani Phiri, Kelvin Chimbomba

“…This study used triangulation to interpret themes and patterns from the collected qualitative data. The findings of the study revealed that stakeholder management strategies significantly impact the overall success of construction projects like the Lusaka 400 road project. …”
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Chord Progressions and Secondary Dominants in the Reharmonization Process by Sercan Özkeleş

“…During the reharmonization process, primary degrees of the song were identified based on patterns within the melodic line, and secondary degrees were established, considering the type and function of chords within primary degrees. …”
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A mechanism for tracking the water level by Muradov Khayot, Djalilov Anvar, Nurmatova Feruza

“…By leveraging Internet of Things (IoT) technology through the Blynk application platform, the solution enables comprehensive tracking of both water levels and consumption patterns. The system incorporates threshold-based alert functionality to notify users when water reserves reach critically low levels. …”
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Enhancing community awareness of antimicrobial use and resistance through community conversations in rural Ethiopia by Mamusha Lemma, Biruk Alemu, Kebede Amenu, Barbara Wieland, Theodore Knight-Jones

“…Results The data revealed knowledge and behavioral patterns in antimicrobial use and resistance, which vary between communities based on gender roles and information sources. …”
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A task-oriented framework for efficient lithological mapping of imbalanced categories using hyperspectral imagery by Yuanchao Wang, Li He, Zhengwei He, Jiang Chen, Fang Luo

“…However, the distribution of geological units is typically imbalanced and heterogeneous, with practical tasks requiring high-efficiency mapping over large regions. …”
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Golf players as a customer segment: the influence of handicap level and residency in customer satisfaction and expenditure by Ricardo Macías, José Bonal, Iyán Iván-Baragaño, Jairo León-Quismondo, Marta Herráiz, Mercedes Leguina, Javier del Arco, Benito Pérez-González, Pablo Burillo, Álvaro Fernández-Luna

“…In addition, this research aimed to establish a multivariate model that allows predicting the place of residence and the handicap based on the interaction of the analyzed variables, with the intention to establish a behaviour pattern based on these variables for those attending an elite golf tournament. …”
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Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces by Xiuyu Huang, Shuang Liang, Yuanpeng Zhang, Nan Zhou, Witold Pedrycz, Kup-Sze Choi

“…We develop a new and effective approach where, unlike the original episode learning, the temporal pattern between trials in each episode is encoded during the learning to boost the classification performance. …”
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