Crystallization behavior and morphological features of ethylene-vinyl alcohol 44 copolymer by Clement Freymond, Alain Guinault, Matthieu Gervais, Miroslaw Pluta, Tomasz Makowski, Ewa Piorkowska, Cyrille Sollogoub

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Clinical features and outcomes of Rhegmatogenous Retinal Detachments in Acute Retinal Necrosis by Shabtab Nasir, Samreen Mehfooz, Soumyava Basu, Rajeev R. Pappuru, Mudit Tyagi

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Investigation into the Distribution Features and Determinants of Underground Commercial Spaces in Qingdao City by Jingwei Zhao, Heqing Wang, Yu Sun, Haoqi Li, Yinge Zhu

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TECHNICAL FEATURES OF ELECTRODE IMPLANTATION AND REMOVAL WITH CONSTANT HIS BUNDLE ELECTROCARDIOSTIMULATION by A. V. Ponomarev, G. V. Chudinov, F. V. Sklyarov, D. A. Karakozov, N. A. Peskov, A. A. Tatyanchenko

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Clinical and electrophysiological features of peripheral neuropathy in older patients with lung carcinoma by Tomanović-Vujadinović Sanja, Jovanović Dragana, Ilić Nela V., Dubljanin-Raspopović Emilija, Nedeljković Una, Ilić Branka, Samardžić Natalija, Ćeriman Vesna, Stević Zorica, Marković-Denić Ljiljana

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Clinical and morphological features of gastroduodenal pathology at alcohol-induced liver disease by I. V. Kozlova, M. A. Suschenko

“…To determine clinical and morphological features and mechanisms of development of gastroduodenal lesions at alcohol-induced disease of liver.Material and methods. …”
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Yenikapı 27 Shipwreck: Hull Members, Construction Technique and Structural Features by Evren Türkmenoğlu

“…This study analyzes the construction technique and structural features of the vessel based on a detailed post-excavation examination of the wooden hull members; its construction features have been evaluated within the framework of development of shipbuilding traditions in the Mediterranean and by comparisons with other contemporaneous wrecks. …”
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Features of the Clinical Course and Prognosis of Severe Traumatic Brain Injury Outcomes by Y. B. Vasilyeva, A. E. Talypov, M. V. Sinkin, S. S. Petrikov

“…To determine the clinical course features and prognosis of treatment outcomes in patients with various types of traumatic brain damage.MATERIAL AND METHODS. …”
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Palm Vein Verification Using Multiple Features and Locality Preserving Projections by Ali Mohsin Al-juboori, Wei Bu, Xiangqian Wu, Qiushi Zhao

“…New palm vein features extraction methods, global feature extracted based on wavelet coefficients and locality preserving projections (WLPP), and local feature based on local binary pattern variance and locality preserving projections (LBPV_LPP) have been proposed. …”
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Inferring internal states across mice and monkeys using facial features by Alejandro Tlaie, Muad Y. Abd El Hay, Berkutay Mert, Robert Taylor, Pierre-Antoine Ferracci, Katharine Shapcott, Mina Glukhova, Jonathan W. Pillow, Martha N. Havenith, Marieke L. Schölvinck

“…Furthermore, each state corresponds to a characteristic pattern of facial features that partially overlaps between species, highlighting the importance of facial expressions as manifestations of internal cognitive states across species.…”
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Investigating pathological features of myocarditis-related sudden cardiac deaths in Egypt by Nora Fnon, Asmaa Sharif, Hanan Hassan, Amal Hafez, Zahraa Sobh

“…The scarcity of autopsy data has led to this study, which analyzed the histopathological features of myocarditis-related deaths referred to the Egyptian Forensic Medicine Authority. …”
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Features of the Effect of Cataracts and Glaucoma on the Daily Activities of Patients with Sarcopenic Obesity by O. L. Fabrikantov, A. E. Kopylov, N. M. Agarkov

“…In particular, restrictions on threading a needle in patients with cataracts and sarcopenic obesity have 1.84 ± 0.03 points, which is significantly higher than in patients with glaucoma and sarcopenic obesity (p < 0.01). A similar pattern has been established for nail clipping, the limits for which are 1.75 ± 0.03 points and 1.43 ± 0.04 points, respectively. …”
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Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

“…This paper presents a wind power prediction method with feature selection and prediction called, Pearson Autocovariance Distinct Patterns and Attention-based Deep Learning (PACDP-ADL). …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Recent development of graph neural networks (GNNs) has demonstrated unsupervised modeling power on road network data, which learn the embedded vector representation of road networks through spatial feature induction and topology-based neighbor aggregation. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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Exploration on the Visual Design of Decorative Patterns in Tang Dynasty: Take the Demale Bag as an Example by Ke GAO, Fuquan DENG

“…As the inheritance carrier of incense culture, incense ware is the elegant supporter of the ancients. Its feature of distinctive decorative pattern is the typical representative of the aesthetic development of the Chinese nation. …”
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Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 by Xiao Wang, Yue Wu, Longfei Cui, Haizhong Qian, Bohao Li, Xu Wang

“…This paper introduces the YOLO11 object detection model to achieve the detection of building groups with linear patterns by integrating the dynamic snake convolution (DSC) which is used to enhance the feature extraction capability. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

“…In the approach, first, labels are defined based on statistical features related to speed followed by the creation of representative driving patterns (RDPs). …”
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Vegetation patterning can both impede and trigger critical transitions from savanna to grassland by Jelle van der Voort, Mara Baudena, Ehud Meron, Max Rietkerk, Arjen Doelman

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