Clustering analysis of vehicle traveling and parking behavior based on license plate recognition data: Suzhou case by Kexin Wang, Xiang Wang, Xiangxi Liu, Yutong Wang

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Predictions of the Chinese Forest Frog (<i>Rana chensinensis</i>) Distribution Pattern Under Climate Change up to 2090s by Ying Fu, Juanjuan Lu, Pinhong Yang, Jie Pi

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Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics. by Rimsha Bibi, Noshaba Qasmi, Sajid Rashid

“…In this study, we conducted a comprehensive analysis of 5,985 cone snail peptides across 82 Conus species to identify unique cysteine (Cys) patterns and associated frameworks. The classification of these Cys patterns, based on conserved framework combinations, enabled the generation of species-level pattern barcodes. …”
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Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images by Zhendong Ji, Lingzhi Yin, Jinhong Wang

“…Studying spatiotemporal patterns of land use is crucial for optimal land resource allocation and sustainable development. …”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…Abstract Amid global climate change, analyzing spatiotemporal patterns and predicting urban demand-side electrical carbon emissions is vital for regional low-carbon transitions. …”
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Explainable semi-supervised model for predicting invasion depth of esophageal squamous cell carcinoma based on the IPCL and AVA patterns by Liumin Kang, Jinzhou Zhu, Haoxiang Ni, Shiqi Zhu, Lihe Liu, Jiaxi Lin, Yu Wang, Xiaohua Shi, Rui Li

“…Furthermore, Grad-CAM was for visualized explanation of images; local interpretation, feature importance, and partial dependence plots were conducted for classifiers; and t-SNE was for visualization of feature vectors. …”
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ANALYSING MARKET DYNAMICS: REVEALING OBSCURED PATTERNS IN LQ45 STOCKS (2021-2023) USING WARD’S HIERARCHICAL CLUSTERING by Giovanny Theotista, Margareta Febe, Michael Sannova Ryan

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Spatial pattern of woody plant species richness and composition in primary warm temperate evergreen forest in Kasugayama Hill, Japan by Shuntaro Watanabe, Yuri Maesako, Tomoya Inada

“…Our study also found that compositional shift along the elevational gradient was mainly caused by habitat specialization among congeneric species, suggesting that niche partitioning among closely-related species is a fundamentally important feature of the intermediate spatial scale species richness pattern. …”
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Optimizing Landscape Patterns for Tea Plantation Agroecosystems: A Case Study of an Important Agricultural Heritage System in Enshi, China by Jiaqian Wu, Chunyang Li, Tong Wang

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Mapping Crop Types and Cropping Patterns Using Multiple-Source Satellite Datasets in Subtropical Hilly and Mountainous Region of China by Yaoliang Chen, Zhiying Xu, Hongfeng Xu, Zhihong Xu, Dacheng Wang, Xiaojian Yan

“…A timely and accurate distribution of crop types and cropping patterns provides a crucial reference for the management of agriculture and food security. …”
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(Non)specific interaction patterns in families raising a child with disability or chronic illness: a latent profile analysis by Ariadna Łada-Maśko, Urszula Sajewicz-Radtke, Paweł Jurek, Paweł Jurek, Michał Olech, Bartosz M. Radtke, Małgorzata Lipowska

“…Therefore, the results suggest that family interaction patterns varied independently of the presence of a child with a disability. …”
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Genome-wide identification, tissue expression pattern, and salt stress response analysis of the NAC gene family in Thinopyrum elongatum by Jilin Sun, Xiaokuo Cui, Jiaqi Zhang, Fansen Meng, Jiangong Li, Shenghui Zhou, Changai Wu, Peng Zhou, Silong Sun, Long Han

“…RT-qPCR confirmed salt-responsive expression patterns for eight TeNACs demonstrating marked transcriptional changes. …”
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The PARPscore system using poly (ADP-ribose) polymerase (PARP) family features and tumor immune microenvironment in glioma by Cheng Zhang, Juan Feng, Xia Zhou, Jie Zhang, Chuming Tao, Hongwei Zhou

“…Our findings revealed three distinct PARPs modification patterns, each correlated with unique TME infiltration characteristics and tumor immunophenotypes. …”
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Somatisms in the dialect world view of the Kuban subdialect speakers: A fulfilled cognitive potential by O.G. Borisova, L.Yu. Kostina

“…This paper refers to the ideas of cognitive dialectology and studies the somatic cultural pattern in the dialect world view of the Kuban subdialect speakers. …”
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Clients Purchasing Tendency Community Classification in E-Commerce Scenario: Multi-Feature Search for Densely Distributed Clients in Huge Network by Mingyuan Li, Chun-Ming Yang, Yi-Wei Kao

“…This allows us to project complex purchasing patterns into a structured, hidden feature space. From this space, we construct a similarity-driven huge network. …”
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GL-ST: A Data-Driven Prediction Model for Sea Surface Temperature in the Coastal Waters of China Based on Interactive Fusion of Global and Local Spatiotemporal Information by Ning Song, Jie Nie, Qi Wen, Yuchen Yuan, Xiong Liu, Jun Ma, Zhiqiang Wei

“…These data-driven techniques often utilize classic convolutional networks (CONV) and long short-term memory networks (LSTM) to extract spatial and temporal features. Leveraging these spatiotemporal multimodal features enhances the analysis of evolving patterns in sea surface temperature over time and space, thereby improving prediction accuracy. …”
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Proteomics and machine learning: Leveraging domain knowledge for feature selection in a skeletal muscle tissue meta-analysis by Alireza Shahin-Shamsabadi, John Cappuccitti

“…Using biological context for interpreting the data resulted in improved model performance and made tailored analysis possible by reducing the dimensionality and increasing signal-to-noise ratio as well as only preserving biologically relevant features in each category. This integration of domain knowledge into data analysis and model training facilitated the discovery of new patterns while ensuring the retention of critical details, often overlooked when blind feature selection methods are used to exclude proteins with minimal expressions or variances. …”
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Insights from feature tracking of optical satellite data for studying rock glacier kinematics in the Northern Tien Shan by Ella Wood, Ella Wood, Tobias Bolch, Tobias Bolch, Richard Streeter

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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…However, achieving real-time processing of VO using a stereo camera on embedded CPUs and GPUs is challenging due to the high computational demands and irregular computational patterns. These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. …”
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Machine learning combined multi-omics analysis to explore key oxidative stress features in systemic lupus erythematosus by Hongwei Zhou, Xiaoqing Li, Yanyu Zhang, Feng Wei, Zhiyu Liu, Yan Zhao, Xubo Zhuang, Xia Liu, Haizhou Zhou

“…This study explores critical oxidative stress (OS) features and their interrelationships in SLE pathogenesis.MethodsThree transcriptomic datasets from the Gene Expression Omnibus (GEO) were analyzed to identify SLE- and OS-associated pathways via Gene Set Variation Analysis (GSVA). …”
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