Swin-Panda: Behavior Recognition for Giant Pandas Based on Local Fine-Grained and Spatiotemporal Displacement Features by Xinyu Yi, Han Su, Peng Min, Mengnan He, Yimin Han, Gai Luo, Pengcheng Wu, Qingyue Min, Rong Hou, Peng Chen

“…While substantial progress has been made in the field of individual identification, behavior recognition remains underdeveloped, facing challenges such as the lack of dynamic temporal features and insufficient extraction of behavioral characteristics. …”
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Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network by Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran

“…To address these issues, we developed a grouped second-order spatial features and spectral attention network (GSSAN). GSSAN incorporates a grouped second-order spatial attention (GSOSA) module to extract relevant first- and second-order spatial features. …”
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miR-155 and miR-223 as markers of biological and clinical features of chronic lymphocytic leukemia by M. L. Perepechaeva, O. B. Goreva, O. V. Berezina, T. I. Pospelova, A. Yu. Grishanova

“…Chronic lymphocytic leukemia (CLL) is a disease characterized by large individual differences both in the clinical course and in molecular patterns of expression of genes and regulatory RNAs, which can influence pathological changes. …”
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Computed Tomographic Features of Bezoars and Other Gastrointestinal Foreign Bodies in Dogs and Cats: A Comparative Analysis by Jongwon Koo, Kidong Eom, Jaehwan Kim, Jeongyun Jeong, Hongji Yoon, Minsu Lee, Jinsoo Park, Jongmun Cho

“…A total of 33 cases (26 dogs, 7 cats) with surgically or endoscopically confirmed foreign bodies were reviewed, classified as bezoars (<i>n</i> = 15) or distinct foreign bodies (<i>n</i> = 18). CT features such as attenuation values, transition zones, and proximal-to-distal small intestinal diameter ratios were compared. …”
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Insights into Biological and Ecological Features of Four Rare and Endemic Plants from the Northern Tian Shan (Kazakhstan) by Gulbanu Sadyrova, Aisha Taskuzhina, Alexandr Pozharskiy, Kuralai Orazbekova, Kirill Yanin, Nazym Kerimbek, Saule Zhamilova, Gulzhanat Kamiyeva, Ainur Tanybaeva, Dilyara Gritsenko

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Pathogenetic and clinical signifcance of EpCАM expression features in tumors and circulating tumor cells by V. M. Perelmuter, L. A. Tashireva, E. S. Grigoryeva, V. V. Alifanov, E. S. Pudova, A. V. Buzenkova, M. V. Zavyalova, N. V. Cherdyntseva

“…It described the causes and mechanisms behind the loss of membrane EpCAM expression, each holding distinct biological and clinical implications. Features of EpCAM expression in normal epithelial tissues, during regeneration, and in dysplasia/ neoplasia as well as carcinomas were carefully outlined. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…Conversely, CNN-based features are automatically acquired representations that identify complex patterns in nuclei images. …”
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Examining the Impact of Content Features on Customer Engagement in Social Media: A Data Mining Approach on Instagram by Azade Shekari, Mohammad Mehdi Poursaeed, Saeed Dehyadegari

“…Based on these results, the use of persuasive textual features—such as Holiday Mention and Remarkable Facts—along with informative textual features—such as price and target audiences—affect customer engagement on social media. …”
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Features of functional state restoration among military personnel after traumatic brain injury combined with acubarotrauma by A. V. Shvets, Yu. V. Podolian, M. I. Holinko

“…Aim – to study the restoration features of postconcussion symptoms and cognitive disorders based on the dynamics of the psychophysiological characteristics of combatants who received brain concussion and acubarotrauma in the acute period. …”
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Clinicopathological features of cranial-nasal-orbital communicating lesions and diagnostic indicators for differentiating benign and malignant neoplasms by Meng Xie, Jin Chen, Ya-Yan You, Zi-Xuan Su, Xi-Yin Zhu, Xing-Hua Wang, Peng-Cheng Li, Fa-Gang Jiang

“…AIM: To investigate the clinicopathological features of cranial-nasal-orbital communicating lesions and identify key diagnostic indicators for differentiating benign and malignant neoplasms. …”
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Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…This paper presents a robust zero-watermarking technique for color images, combining Local Binary Patterns (LBP) with deep features extracted from the CONV5-4 layer of the VGG19 neural network to overcome these limitations. …”
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Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

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ST-MSRN: An enhanced spatio-temporal super-resolution model for complex meteorological data reconstruction by Ping Mei, Zhi Yang, Changzheng Liu, Lei Wang, Zixin Yin

“…The framework employs parallel multi-scale convolutions to hierarchically extract meteorological patterns, while the integrated Efficient Multi-scale Attention (EMA) module adaptively weights features based on spatio-temporal heterogeneity. …”
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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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Multiple-Image Encryption Mechanism Based on Ghost Imaging and Public Key Cryptography by Leihong Zhang, Xiao Yuan, Kaimin Wang, Dawei Zhang

“…Then, all the detected intensity values are encrypted by using public key cryptography algorithm to obtain the final ciphertext. The use of basis patterns allows for high-quality reconstruction. In addition, randomness in the permutation operation and public key cryptography provide a strong security feature for the encryption system. …”
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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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APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection by Jingyuan Yang, Yu‐Dong Zhang

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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

“…From a wide range of examined user-defined parameters, four case examples are highlighted to demonstrate the identified temporal patterns in multi-modal HD trajectories and to study how these differ due to the combined effects of feature weights and granularity threshold. …”
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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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Age-Related Features of Reactive Catecholamine Shifts in the Spinal Cord in Acute Somatic Pain: Experimental Study by V. G. Ovsyannikov, A. V. Kapliyev

“…Objective: to study the age-related features of an adrenergic response of the central nervous system to acute somatic pain (ASP).Subjects and methods: The spinal cord (SC) levels of adrenaline (A), noradrenaline (NA), and dopamine (DA) were studied in albino male rats of five age groups: 1) neonatal (2—4-day) rats; 2) 17—18-day rats that began to see; 3) monthly rats; 4) sexually mature (3—4 month) ones; and 5) old ones aged over 2 years. …”
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