Development and Assessment of a New Multichannel Electrocutaneous Device for Non-Invasive Somatosensory Stimulation for Magnetic Resonance Applications by Carolina Travassos, Alexandre Sayal, Paulo Fonte, Bruno Direito, Luis Lopes, Nuno Carolino, Sonia Afonso, Tania Lopes, Teresa Sousa, Miguel Castelo-Branco

“…This study presents the development and assessment of a novel multichannel electrocutaneous stimulation device designed for non-invasive somatosensory stimulation of the upper limbs in human participants within a magnetic resonance (MR) environment. …”
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Development of 3D flow diagnostic numerical simulator and rock property modelling for a homogeneous faulted reservoir by Surajo Muhammed Gwio, Ibrahim Ayuba, Umar Faruk Aminua

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To study the burden of post tubercular obstructive airway diseases in patients visiting chest OPD at a tertiary level chest OPD in North India: a descriptive cross-sectional study by Imrana Masood, Nosheen Neyazi, Shah Mohd Abbas Waseem, Hilal Hussain

“…Abstract COPD and tuberculosis are on the rise in developing countries. There is evidence of post-tuberculosis lung function deterioration and the occurrence of obstructive airway diseases in such patient groups.Objectives: To study the burden and severity of obstructive airway disease in subjects with a history of pulmonary tuberculosis and find the demographic trends, features, and clinical presentations in tuberculosis-associated obstructive pulmonary disease (TOPD) and non-tubercular obstructive airway disease (non-tubercular OAD).Methodology: We investigated 125 patients divided into two groups, i.e., post-tubercular airway disease (n = 50) and airway disease due to other aetiology (n = 75). …”
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Development of an Infant’s Peripheral Motor System Within the First 3 Years of Life as Studied Using Surface Electromyography by Yu. R. Zaripova, A. Yu. Meigal, V. I. Makarova

“…At the same time, quantitative changes in sEMG (increase of amplitude) continued during all 36 months of the study, which indicates a continuing growth of skeletal muscles. sEMG in preterm infants features a more simple temporal organization. This suggests the continuing «intrauterine» pattern of the motor neuron pool work.…”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

“…Through the multi-modal feature fusion, the model can effectively capture different feature patterns related to depression.ResultsWe conduct extensive experiments on the publicly available clinical dataset, the Extended Distress Analysis Interview Corpus (E-DAIC). …”
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Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

“…The dataset is refined using Random Forest Recursive Feature Elimination (RF-RFE) to select key features influencing accident severity. …”
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Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…This attack is mainly associated with serverless frameworks due to features like auto-scaling, cost amplification, pay-as-you-go, and limited control. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Furthermore, the binary olympiad optimization algorithm (BOOA)-based feature selection is utilized to extract the most informative features, reducing the data dimensionality. …”
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Identification, characterization and expression analysis of the CDPK family in kelp Saccharina japonica by Minghui Sun, Zihan Gai, Xiufeng Zhou, Cailing Yi, Linan Zhang

“…Some SjCDPKs possessed unique structural features and clustered into a specific group. Gene duplication and synteny analysis revealed CDPKs in brown algae are evolutionarily conserved and their evolution exhibits a relatively stable pattern. …”
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Land Spatial Development Intensity and Its Ecological Effect on Soil Carbon Sinks in Large-Scale Coastal Areas by Wenxiu Xing, Yuan Chi, Zhiwei Zhang

“…High spatiotemporal variance in land spatial development intensity occurs during rapid socioeconomic development. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

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The smart village concept from 1.0 to 4.0 in the context of ICT entrepreneurship development in the Polish villages by Hanna Godlewska-Majkowska, Agnieszka Komor, Patrycjusz Zarębski

“…Contribution & Value Added: We may consider the smart villages concept in analogy to the smart city concept as an innovation organising spatial structures according to a new pattern. We present the development of smart villages from 1.0 to 4.0 in analogy to the development of the smart city, together with a presentation of the conditions of this process related to the specificity of rural areas. …”
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Bridging Science and Lifestyle: A Feasibility Study for Developing a Novel Functional Food to Support Well-Being by Efstratios Christodoulou, Sotiria Laoutari, Fani Athanasiou, Eleni Poutli, Demetriana Andreou, Yiannis Kourkoutas, Antonios E. Koutelidakis

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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

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The Problem of Territorial Polarization in Armenia by Gohar Ghambaryan, Vardan Mkhitaryan, Anzhela Ayriyants

“…Against this backdrop, the settlement patterns in Armenia have evolved significantly. This article delves into the features, challenges, and spatial differences of this phenomenon, supported by a thematic map illustrating the changes in Armenia’s settlement patterns. …”
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Investigating Phonological Development in L2 and L3 Among Mandarin Speakers in Hong Kong: A Case Study by Tian Jing Xuan

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Relationships between vegetation indices and surface reflectance: Implications for detecting and monitoring sandification in arid regions by Yifan Yue, Wenzhi Zhao, Rentao Liu

“…The regional sandification patterning revealed a distinct “transformation-differentiation” dimension in 2000–2023. …”
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ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

“…Computer vision technologies rely on pattern recognition, machine learning, and neural networks to allow computers to break down images, interpret data, and identify features. …”
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The <i>g</i>-Strained EPR Line Shape of Transition-Ion Complexes and Metalloproteins: Four Decades of Misunderstanding and Its Consequences by Wilfred R. Hagen

“…Forty years ago, the theoretically and experimentally well-founded statistical theory of <i>g</i>-strain was developed as a prime model for EPR powder patterns. …”
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