Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

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A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding by Juntao Xue, Feiyue Ren, Xinlin Sun, Miaomiao Yin, Jialing Wu, Chao Ma, Zhongke Gao

“…The filter bank common spatial pattern (FBCSP) algorithm filters the MI-based EEG signals in the spatial domain to extract features. …”
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Characteristics of pore-fracture structure and three-dimensional spatial distribution differences in deep and shallow coal reservoirs: A case study of Junggar Basin by WANG Pengxiang, ZHANG Zhou, YU Wanying, ZOU Qiang, YANG Zhengtao

“…A pore network model for the samples was established using the maximal sphere algorithm to analyze the distribution pattern, morphology, and three-dimensional structural development of the connected pores and fractures. …”
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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…Complex construction environments can interfere with ground-based synthetic aperture radar (GB-SAR) deformation monitoring, potentially leading to missed or false alarms. Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. …”
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Thermal analysis of hybrid nanofluid flow in blood vessels with peristalsis: Case study for Hall current and radiative heat transfer by Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan, Lioua Kolsi, Nidhal Becheikh, Kaouther Ghachem

“…The properties of human blood are justified by using the tangent hyperbolic fluid model. The flow pattern is based on the peristaltic phenomenon associated to the complex wavy channel. …”
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Machine Learning-Enhanced Attribute-Based Authentication for Secure IoT Access Control by Jibran Saleem, Umar Raza, Mohammad Hammoudeh, William Holderbaum

“…Traditional authentication systems struggle to balance security, privacy and computational efficiency, particularly in resource-constrained environments such as Industry 4.0. This research presents the SmartIoT Hybrid Machine Learning (ML) Model, a novel integration of Attribute-Based Authentication and a lightweight machine learning algorithm designed to enhance security while minimising computational overhead. …”
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Graphlet decomposition dataset of Tallinn’s road network from January 2020 OpenStreetMap dataGithub by Mahdi Rasoulinezhad, Nasim Eslamirad, Jenni Partanen

“…The resulting dataset enables researchers to identify recurring patterns in urban street networks, study urban morphology, and compare structural similarities between different urban areas. …”
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Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels by Young-Ho Seo, Jang Hyun Sung, Byung-Sik Kim, Junehyeong Park

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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Whereas the CNNs extract spatial features from medical images, the LSTMs model the temporal patterns of wearable sensor data. Such a configuration increases the prediction accuracy by 10% more than that achieved by the individual models. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…Due to its widespread adoption, research on energy pile analysis theory has advanced significantly. …”
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Estimating the summer residual flow based on sea surface temperature within a narrow strait by Juncheng Xie, Peng Bai, Xiaowei Xu, Lingling Xie, Mingming Li, Ying Gao

“…Capitalizing on its distinctive summer SST pattern (eastern cooling vs. western warming) and prevailing westward residual current regime, we demonstrated that the thermal structure can be effectively characterized by a 1D balance equation incorporating temporal variation, horizontal advection, diffusion, and thermal forcing terms. …”
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Radiological Semiotics of Different Types of Nontuberculous Pulmonary Mycobacterioses by R. B. Amansakhedov, L. I. Dmitrieva, T. G. Smirnova, A. D. Egorova, A. E. Ergeshov

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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…IntroductionElectrencephalography (EEG)-based brain-computer interfaces (BCIs) have become popular as EEG is accepted as the simplest and non-invasive neuroimaging modality to record the brain's electrical activity. In the current BCI research context, apart from predicting extremity movements, recent BCI studies have been interested in accurately predicting finger movements of the same hand using different pattern recognition methods over EEG data collected based on motor imagery (MI), through which a mental image of the desired action is generated when a person ideally simulates or imagines carrying out a certain motor task. …”
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A Step-by-Step Harmonization Process for Nutritional Epidemiology Purposes: A Methodological Work of the Collaborative PROMED-COG Pooled Cohorts Study by Federica Prinelli, Silvia Conti, Claire T. McEvoy, Caterina Trevisan, Stefania Maggi, Giuseppe Sergi, Marianna Noale

“…In particular, the challenge was the harmonization procedure for dietary habits that required several steps: (i) access to documentation from the original studies, (ii) discussion with the researchers responsible for each dataset; (iii) exploration of each dataset before the final harmonization; (iv) agreement on portion size and food frequency standardization, and food classification for healthy dietary pattern computation; (v) name, definition, and categorization of the harmonized common variable and the original variables, for each study; (vi) development and application of the algorithm to obtain the harmonized variables from the original ones; and (vii) final pooled dataset preparation. …”
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Aryana-bs: context-aware alignment of bisulfite-sequencing reads by Hassan Nikaein, Ali Sharifi-Zarchi, Afsoon Afzal, Saeedeh Ezzati, Farzane Rasti, Hamidreza Chitsaz, Govindarajan Kunde-Ramamoorthy

“…It outperforms existing methods, such as BSMAP, bwa-meth, Bismark, BSBolt, and abismal, particularly in robustness against genomic biases and alignment of longer, higher-error reads, demonstrating suitability for cancer research and cell-free DNA studies. While the Expectation-Maximization (EM) algorithm provides only modest initial improvements, it establishes a valuable framework for future refinement and potential enhancements in sensitive applications.…”
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Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage by Tingli Cheng, Minyou Chen, Yingxiang Wang, Bo Li, Muhammad Arshad Shehzad Hassan, Tao Chen, Ruilin Xu

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A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Advances in molecular labeling techniques and optical imaging technologies have spurred extensive research into the patterns of long-range neuronal projections. …”
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SankeyNetwork: A clear and concise visualization tool for bibliometric data by Sher-Wei Lim, Willy Chou, Lifan Chen

“…Slope graphs showed upward trends in four core elements over the past four years.The study concludes that these methods provide clearer insights while reducing visual complexity, and recommends combining performance sheets, Sankey diagrams, and slope graphs in future bibliometric analyses to better detect hotspots and evolving research patterns. • Sankey diagrams to enhance traditional bibliometric visualization methods. • Analyzing 2252 articles from Journal of METHODSX (2020–2024) to highlight author collaborations. • Key insights include the prominence of U.S., and Symbiosis International (India) in author collaborations.…”
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A method for identifying relevant topics of pilot simulator training based on clustering of flight safety reports by Z. R. Zabbarov, A. K. Volkov

“…Natural language processing (NLP) technologies, in one of their applications, provide effective research of patterns and trends in large sets of textual data. …”
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