Neurophysiological underpinnings of balance control and cognitive-motor interaction in early Parkinson’s disease by Manca Peskar, Paolo Manganotti, Uros Marusic, Klaus Gramann

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DIDACTIC POTENTIAL OF YOUTUBE CHANNELS FOR ENHANCED ENGLISH LANGUAGE LEARNING IN NON-LINGUISTIC PROGRAMS by Blynova Neliia, Medynska Svitlana, Voloboieva Anna

“…The study explores the potential of integrating these YouTube channels into classroom and independent learning activities for students enrolled in non-philological programs. Methodology. The research employed a multi-pronged approach. An analysis of existing literature on the research topic provided insights into the current state of mobile learning research, both domestically and internationally. …”
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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…The primary motivation of this research is to analyze students’ engagement characteristics in Virtual Learning Environments (VLE) and determine their prevalent instructional preference and learning style and recommend the best learning assessment tools. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…Generally, diagnosis requires expert supervision, but in recent times, the evolving emergence of machine intelligence and its widespread applications has necessitated the integration of machine intelligence with pathological expert supervision. This research aims to mitigate the diagnostics of urinary tract infections (UTIs) by visual recognition of Colony-Forming Units (CFUs) in urine culture. …”
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Comparative Analysis of LSTM and GRU Models for Ethereum (ETH) Price Prediction by Moch Panji Agung Saputra, Riza Andrian Ibrahim, Renda Sandi Saputra

“…While LSTM exhibits a slightly better Mean Absolute Percentage Error (MAPE) of 18.08% compared to GRU at 18.17%, the GRU model achieves a higher R² Score of 0.9442 compared to LSTM at 0.9282. Visual analysis of the prediction patterns and residual distributions further demonstrates GRU’s more consistent and accurate performance in capturing Ethereum price movements. …”
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MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES by Olga Zyma

“…Based on recent studies from Gradus Research, the Digital Global Overview Report, and other sources, the shift in media consumption patterns among the youth audience towards entertainment and visual content is demonstrated. …”
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Gaze behavior and decision-making among handball referees: exploring gender and expertise differences by Jacek Świdwa, Stefanie Klatt, Adam Kantanista

“…The absence of gender differences in gaze patterns challenges prior research suggesting systematic visual search disparities. …”
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Learning factors influencing second language proficiency: a cross-cultural comparative study of English and Chinese L2 learners by Xuancheng Wu, Xin Wen, Juan Lu, Weizhi Liu

“…Data were analyzed using SPSS for correlation and regression. Results Divergent patterns emerged between groups. For ESL learners, learning motivation directly shaped strategy use, which in turn were positively correlated with learning proficiency, with visual learning styles further enhancing the degree of proficiency. …”
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THEORY AND HISTORY OF ART TUITION AT SECULAR AND RELIGIOUS EDUCATION INSTITUTIONS IN THE 19TH AND EARLY 20TH CENTURIES by A. M. Kopirovsky

“…It is necessary to provide both new forms and methods of teaching, and judgment of the ways of conducting educational process existing earlier.The aim of the research is to identify specific features of academic subject formation patterns, in particular, the forms and stages of transitioning from random aesthetic knowledge acquisition («perception of beauty») towards more comprehensive curricula saturated with visual and factual information; and the nature of subject-specific tuition.Methodology and research methods involve the retrospective analysis of the archival materials, documents and other sources concerning the declared subject; generalization and projection of experience of the past to modern realities.Results and scientific novelty. …”
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Deteksi Persamaan Pola Gerakan pada Koreografi Tari Bali by Ni Made Rai Maryati, Made Windu Antara Kesiman, I Made Gede Sunarya

“…This value was chosen by visual observations of the skeleton image, where an image that visually has the same movement has a threshold value between 1.15 to 1.25. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…MABEC-Net integrates multi-scale feature extraction, which enables the model to analyze both fine-grained local textures and broader environmental patterns. Spatial and channel attention mechanisms are incorporated to dynamically adjust feature importance, allowing the model to focus on key visual information while minimizing noise.In addition to the network architecture, we propose the Adaptive Environmental Training Strategy (AETS), a robust training framework designed to improve model generalization across diverse environmental datasets. …”
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Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis by Jing Gao, Na Fang, Yao Xu

“…This study aimed to investigate the evolving and longitudinal publication patterns related to AI in ROP using bibliometric methodologies. …”
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A Kansei-Oriented Morphological Design Method for Industrial Cleaning Robots Integrating Extenics-Based Semantic Quantification and Eye-Tracking Analysis by Qingchen Li, Yiqian Zhao, Yajun Li, Tianyu Wu

“…Second, eye-tracking experiments captured users’ visual-attention patterns during robot observation, allowing us to identify pivotal design elements and assemble a sample repository. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…The CapsNet model is employed for feature extraction to recognize spatial hierarchies and capture intricate patterns from complex visual data. Moreover, the temporal convolutional network (TCN) model detects adverse weather conditions. …”
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Infantile Nystagmus Syndrome—Associated Inherited Retinal Diseases: Perspectives from Gene Therapy Clinical Trials by Xiaoming Gong, Richard W. Hertle

“…Inherited retinal diseases (IRDs) are a clinically and genetically diverse group of progressive degenerative disorders that can result in severe visual impairment or complete blindness. Despite their predominantly monogenic inheritance patterns, the genetic complexity of over 300 identified disease-causing genes presents a significant challenge in correlating clinical phenotypes with genotypes. …”
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RMPT: Reinforced Memory-Driven Pure Transformer for Automatic Chest X-Ray Report Generation by Caijie Qin, Yize Xiong, Weibin Chen, Yong Li

“…Automatic generation of chest X-ray reports, designed to produce clinically precise descriptions from chest X-ray images, is gaining significant research attention because of its vast potential in clinical applications. …”
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An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet by Armaano Ajay, S. Sandosh, Aryan Saji, Harsh Agarwal

“…These blocks improve multi-scale feature extraction and adaptively capture complex patterns from the weed images. The model also integrates Triplet Attention (TA) to refine feature representations and employs Grad-CAM and LIME for visual interpretability, offering insights into the classification process. …”
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Bangla Character Detection Using Enhanced YOLOv11 Models: A Deep Learning Approach by Mahbuba Aktar, Nur Islam, Chaoyu Yang

“…A key limitation lies in the absence of robust detection frameworks capable of accommodating the script’s complex visual patterns and nuances. To address this gap, we propose an enhanced object detection model based on the YOLOv11 architecture, incorporating a ResNet50 backbone for improved feature extraction. …”
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Application of the MALDI-TOF Mass Spectrometry Method in the Determination of the Causative Agent of Endophthalmitis. Clinical Case by A. V. Lizunov, V. O. Ponomarev, V. N. Kazaykin, S. M. Rozanova, M. V. Kirf, D. G. Hasanova

“…This mechanism leads to the fact that different biological microorganisms form patterns, or spectra, which makes it possible to identify them by the type of “fingerprint”, while the research time itself is usually not several minutes. …”
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Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins' Analogical Architectural Design Classification Framework by Hüseyin Özdemir

“…Deep learning models interact with analogical thinking patterns in the architectural design process, enabling designers to analyze and draw inspiration from analogical design examples. …”
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