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

“…The share of suggestions implying de facto a (further) departure from the basic features of the social security system also showed that the model was under continuous pressure throughout the 90s. …”
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Exploring the Complexity of Pan-Cancer: Gene Convergences and in silico Analyses by Teodoro L, Carreira ACO, Sogayar MC

“…These approaches help identify shared therapeutic targets across various tumor types, enabling the development of broader and potentially more widely applicable treatment strategies. …”
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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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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

“…We then review common methods to process soil VNIR spectra and summary spectral features of soil minerals with particular attention to those <2 μm fractions. …”
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The Spatial Relationship Characteristics and Differentiation Causes Between Traditional Villages and Intangible Cultural Heritage in China by Xinyan Qian, Yi Yu, Runjiao Liu

“…This study establishes a three-phase framework (“spatial pattern identification–spatial relationship analysis–impact mechanism assessment”) using nationwide data encompassing 8155 TVs and 3587 ICH elements. …”
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Novel Technique for Backside Alignment Using Direct Laser Writing by Melissa Mitchell, Siva Sivaraya, Simon J. Bending, Ali Mohammadi

“…Test samples are cut from a 2 inch Si wafer, and copper features are sputtered and developed onto the topside. …”
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…In recent years, automated methods have been developed to extract mobility phenotypes and analyse, using statistical methods, whether there are differences between control strains and disease model strains. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…To meet the practical needs of urban green space planning and management, this research conducts digital simulations of the geometric forms and attribute information of green space plants, and proposes directions for further improvement of green space information models, including the construction of modeling standards, the development of sharing platforms, and the research on generative algorithms.ResultsThe structures and characteristics of green space plants differ from those of other urban components, and their digital representation methods need to be explored based on the spatial morphological features of the vegetation in green spaces. …”
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An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System by Nana Rachmana Syambas

“…A simple powerful algorithm to extract feature parameters of object which is based on linear extrapolation is proposed. …”
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DNA damage response signatures are associated with frontline chemotherapy response and routes of tumor evolution in extensive stage small cell lung cancer by Benjamin B. Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R. Tyson, Kyle Concannon, Kavya Ramkumar, C. Allison Stewart, Robert J. Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V. Heymach, Barzin Y. Nabet, David S. Shames, Carl M. Gay, Lauren A. Byers

“…While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. …”
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

“…Tidal time series are affected by a combination of astronomical, geological, meteorological, and anthropogenic factors, revealing non-stationary and multi-period features. The statistical features of non-stationary data vary over time, making it challenging for typical time series forecasting models to capture their dynamism. …”
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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

“…Objective To explore the acceptability of family support through an AI-enabled mobile app and identify preferences for its novel family module features among patients with type 2 diabetes (T2DM) and family members. …”
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A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck by Rui Luo, Gongxin Yang, Huimin Shi, Yining He, Yongshun Han, Zhen Tian, Yingwei Wu

“…Demographic and magnetic resonance imaging (MRI) data were collected, with qualitative features (e.g., skin thickening, lesion morphology, lymphadenopathy, MRI signal intensity) and quantitative variables (e.g., age, lesion size, apparent diffusion coefficients (ADCs), wash-in rate, time to peak (TTP), time-signal intensity curve (TIC) patterns) examined. …”
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Analysis of emergency air medical services over 9 years in the Penghu archipelago of Taiwan by Meng-Yu Wu, Chia-Jung Li, Yueh-Tseng Hou, Yu-Long Chen, Fung-Wei Chang, Giou-Teng Yiang

“…This article analyzes dynamic changes in the disease patterns of transferred patients in both EAMS groups, providing a strong foundation for developing local medical systems.…”
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Higher-order topology for collective motions by Zijie Sun, Tianjiang Hu

“…Physical or mathematical models have been developed to formalize and/or regularize these collective behaviors. …”
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Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits by Gede Aditra Pradnyana, Wiwik Anggraeni, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo

“…DeXMAG effectively combines textual content, visual imagery, and user-level personality traits to capture the heterogeneous and individualized patterns of depressive expression across modalities. …”
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