Pegmatites of the Larsemann Hills oasis, East Antarctica: new field geological and geophysical data by Ivan A. Babenko, Irina V. Talovina, Dmitrii E. Ushakov, Nikita S. Krikun

“…These include borosilicate D2-3 pegmatites, rare-metal D4 pegmatites, muscovite-bearing post-D4 pegmatites, as well as two newly identified types not previously described in the region: K-feldspar D4' pegmatites and miarolitic rare-metal post-D4' pegmatites, which differ in morphology, mineralogy, and geochemical features. Special attention is given to the structural-tectonic control of pegmatite bodies, their geological setting, zoning patterns, and the results of gamma spectrometric and magnetic surveys. …”
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Investigating the role of thrombosis and false lumen orbital orientation in the hemodynamics of Type B aortic dissection by Joseph C. E. Messou, Kelly Yeung, Eric Sudbrook, Jackie Zhang, Shahab Toursavadkohi, Areck A. Ucuzian, Eleonora Tubaldi

“…Abstract While much about the fundamental mechanisms behind the initiation and progression of Type B aortic dissection (TBAD) is still unknown, predictive models based on patient-specific fluid-structure interaction (FSI) simulations can help in risk stratification and optimal clinical decision-making. Aiming at the development of personalized treatment, FSI models can be leveraged to investigate the interplay between complex aortic flow patterns and anatomical features, while considering the deformation of the arterial wall and the dissection flap. …”
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Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

“…Abstract This study aims to develop intelligent gymnastics teaching model based on Artificial Neural Network (ANN). …”
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BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding by Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan

“…The BCINetV1 utilizes three innovative components: a temporal convolution-based attention block (T-CAB) and a spectral convolution-based attention block (S-CAB), both driven by a new convolutional self-attention (ConvSAT) mechanism to identify key non-stationary temporal and spectral patterns in the EEG signals. Lastly, a squeeze-and-excitation block (SEB) intelligently combines those identified tempo-spectral features for accurate, stable, and contextually aware MI EEG classification. …”
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Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics by Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad

“…Our IFM successfully replicates diverse electric pulse patterns, making it highly suitable for neuromorphic computing. …”
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Different levels of policy change: A comparison between the public discussion on social security in Sweden and in Finland by Christian Kroll, Helena Blomberg

“…Results further show that the patterns of the discussion in the two countries studied bore a remarkable resemblance at a general level, whereas there are indications of differences in the driving forces behind suggestions for similar reforms in these two countries.…”
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Exploring the Complexity of Pan-Cancer: Gene Convergences and in silico Analyses by Teodoro L, Carreira ACO, Sogayar MC

“…To achieve this, we conducted an in silico analysis using publicly available datasets, which facilitated the identification of both common and divergent genetic and molecular patterns across different tumor types. By integrating these diverse areas, this review offers a clearer and deeper understanding of the factors influencing tumorigenesis and highlights potential therapeutic targets.Keywords: pan-cancer, tumor therapy, tumor biomarkers…”
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Comparative transcriptome analysis of PBMCs in cats diagnosed with and recovered from FIPV by Ju Young Lee, Hyeong Ryeol Cho, Hong-Geun Oh, Jeong Ho Hwang

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Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…Specifically, ANN models excel at detecting subtle, complex patterns that reflect battery health and performance, crucial for accurate SOC estimation. …”
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Visible and Near-Infrared Reflectance Spectroscopy for Investigating Soil Mineralogy: A Review by Qian Fang, Hanlie Hong, Lulu Zhao, Stephanie Kukolich, Ke Yin, Chaowen Wang

“…Clay minerals in soils are more complex and less well crystallized than those in sedimentary rocks, and thus, they display more complicated X-ray diffraction (XRD) patterns. Traditional characterization methods such as XRD are usually expensive and time-consuming, and they are therefore inappropriate for large datasets, whereas visible and near-infrared reflectance spectroscopy (VNIR) is a quick, cost-efficient, and nondestructive technique for analyzing soil mineralogic properties of large datasets. …”
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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…However, the need for interpretability in ML models is crucial, as it fosters deeper understanding about the underlying factors driving the predictions, thereby ensuring technical soundness and replicability. This work develops an explainable binary machine learning classifier using rough sets as the algorithm and amino acid composition as the features. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…Visualization of the relationships between numerical features also reveals significant correlation patterns between physiological variables and patient anxiety levels. …”
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Multi-channel EMG manifestations of upper-extremity muscle coordination imbalance among community-dwelling sarcopenic seniors by Haoru He, Xiaochu Wu, Na Li, Yi Jiang, Jiayuan He, Ning Jiang

“…Hexagons created by various EMG features, normalized with respect to respective MVC, and symmetry analyses were performed to estimate multi-muscle coordination patterns. …”
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From Viewing to Structure: A Computational Framework for Modeling and Visualizing Visual Exploration by Kuan-Chen Chen, Chang-Franw Lee, Teng-Wen Chang, Cheng-Gang Wang, Jia-Rong Li

“…This study proposes a computational framework that transforms eye-tracking analysis from statistical description to cognitive structure modeling, aiming to reveal the organizational features embedded in the viewing process. Using the designers’ observation of a traditional Chinese landscape painting as an example, the study draws on the goal-oriented nature of design thinking to suggest that such visual exploration may exhibit latent structural tendencies, reflected in patterns of fixation and transition. …”
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Genome-Wide Characterization and Haplotype Module Stacking Analysis of the <i>KTI</i> Gene Family in Soybean (<i>Glycine max</i> L. Merr.) by Huilin Tian, Zhanguo Zhang, Shaowei Feng, Jia Song, Xue Han, Xin Chen, Candong Li, Enliang Liu, Linli Xu, Mingliang Yang, Qingshan Chen, Xiaoxia Wu, Zhaoming Qi

“…Additionally, the <i>GmKTI</i> family demonstrated evolutionary conservation, with its functions likely linked to light induction, biotic stress, and growth development. This study characterizes the structure, expression, genomic haplotypes, and molecular features of the soybean KTI domain for the first time, providing a foundation for functional analyses of the <i>GmKTI</i> domain in soybean and other plants.…”
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Multinomial logit regression adoption: Identifying user characteristics of e-wallets in Can Tho City, Vietnam by Ngan Thi Thuy Nguyen, Khe Son Tran

“…E-wallet service providers could identify their target audience through the research findings and then work on developing both existing and new features that align with the needs of those potential users, all aimed at boosting loyalty and expanding user density. …”
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Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques by Vanita Agrawal, MVV Prasad Kantipudi, Jayant Jagtap

“…Additionally, deep learning techniques, which are well known for their ability to find intricate patterns and features in data, are incorporated into the proposed system. …”
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Colour Association with Music Is Mediated by Emotion: Evidence from an Experiment Using a CIE Lab Interface and Interviews. by PerMagnus Lindborg, Anders K Friberg

“…Correlation analysis suggested patterns of relationships between audio features and colour patch parameters. …”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…This improves the model’s ability to extract and understand complex data patterns.ResultsThe experimental results demonstrated that the model achieved recognition accuracies of 98.24%, 93.52%, and 92.27% respectively on the Ninapro DB1, Ninapro DB2, and Ninapro DB4 datasets. …”
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