Pathomorphological and molecular genetic features of diffuse gastric cancer by L. M. Mikhaleva, K. Yu. Midiber, V. V. Pechnikova, O. A. Vasyukova, M. Yu. Gushchin

“…An essential part of the work is discussion of the features of intestinal and diffuse types of gastric cancer, which reflect not only the differences in classifications used in modern diagnosis, but also the relationship between the pathological pattern and the molecular subtype of gastric cancer.…”
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Endosonographic Features of Histologically Proven Gastric Ectopic Pancreas by Jen-Wei Chou, Ken-Sheng Cheng, Chun-Fu Ting, Chun-Lung Feng, Yu-Ta Lin, Wen-Hsin Huang

“…In the literature, most cases of gastric ectopic pancreas were usually diagnosed by gross pattern during endoscopic examination or features of endoscopic ultrasound. …”
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EWING SARCOMA: FEATURES OF LYMPHOGENOUS METASTASIS AND PROGNOSTIC FACTORS by N. V. Vasilyev, S. V. Poletaeva, S. A. Tabakaev, Yu. I. Tyukalov, V. M. Perelmuter

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Morphological features of the major duodenal papilla in patients with cholelithiasis by V. M. Klymenko, D. V. Syvolap, S. I. Tertishniy

“…The purpose is to study the morphological features of the major duodenal papilla in patients with cholelithiasis. …”
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Features of Visual Dysfunctions in Patients with Primary Hypothyroidism and Thyrotoxicosis by V. G. Likhvantseva, V. N. Trubilin, E. V. Korosteleva, S. G. Kapkova, V. A. Vygodin

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Features and risk factors for recurrence of intradural spinal tumors by V. A. Byvaltsev, I. A. Stepanov

“…The search for literature sources in the Pubmed, EMBASE and eLibrary databases demonstrated the absence of studies devoted to study of the features and risk factors for the recurrence of intradural spinal tumors. the purpose of this study was to reveal features and risk factors of recurrence of intradural spinal tumors after microneurosurgical resection. material and methods. …”
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Dermoscopic features in children with vitiligo and other hypopigmentation disorders by Shijuan Yu, Shijuan Yu, Jingyi He, Hua Wang

“…Meanwhile, the trichrome pattern at the periphery of the lesion [area under the curve (AUC) = 0.8834, sensitivity 89.19%, specificity 87.5%] and the micro-Koebner/comet tail phenomenon (AUC = 0.7812, sensitivity 99.1%, specificity 57.14%) showed better diagnostic efficacy for active vitiligo, while the pigmentation at the periphery of the lesion (AUC = 0.8746, sensitivity 91.89%, specificity 83.04%) showed better diagnostic efficacy for stable vitiligo. …”
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Specific features of psychopathological manifestations in criminal clozapine intoxications by D. G. Slyundin, A. S. Livanov, V. V. Anuchin, A. G. Merkin, I. G. Bobrinskaya, E. V. Gutova

“…Clinical and laboratory studies were used to examine the patients. The pattern and situational features of the intoxication were revealed; the leading clinical syndrome and its degree were established. …”
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Ictal scalp EEG patterns are shaped by seizure etiology in temporal lobe epilepsy by Sha Xu, Qianwen Zhu, Jinqi Zhou, Lingqi Ye, Hongyi Ye, Chunhong Shen, Zhe Zheng, Hongjie Jiang, Shan Wang, Yao Ding, Cong Chen, Yi Guo, Zhongjin Wang, Shuang Wang

“…Abstract Objective To investigate how etiology and seizure localization influence ictal scalp electroencephalographic (EEG) patterns in temporal lobe epilepsy (TLE). Methods We retrospectively analyzed ictal EEG features from 504 focal seizures recorded in 189 TLE patients with various etiologies who underwent resective surgery. …”
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Exploiting high-order behaviour patterns for cross-domain sequential recommendation by Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian

“…Meanwhile, retaining domain-specific features is an important step in the process of cross-domain feature bidirectional transferring.…”
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Evaporation-assisted formation of surface patterns from polymer solutions via copper tubes by W. Sun, F. Q. Yang

“…Surface patterns with controllable features are constructed via the evaporation of an acetone solution of poly(methyl methacrylate) under the confinement of a copper tube. …”
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Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…This paper proposes a decision-level identification method based on the multi-feature fusion of cattle faces, muzzle patterns, and ear tags. …”
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Swarming motility Patterns of Pseudomonas aeruginosa isolated from Otitis media by Ibraheem A. Latif

“…The latter is characterized by rapid and coordinated group movement over a semisolid (viscous) surface resulting from morphological differentiation and intercellular interactions. A striking feature of P. aeruginosa swarming motility is the formation of migrating tendrils producing colonies with complex fractal-like patterns. …”
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Self-generated electrokinetic flows from active-charged boundary patterns by Ahis Shrestha, Eleftherios Kirkinis, Monica Olvera de la Cruz

“…We develop a hydrodynamic description of self-generated electrolyte flow in capillaries whose bounding walls feature both nonuniform distributions of charge and nonuniform active ionic fluxes. …”
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Insights into Galaxy Evolution from Interpretable Sparse Feature Networks by John F. Wu

“…Learning the relationship between pixel-level features and galaxy properties is essential for building a physical understanding of galaxy evolution, but we are still unable to explicate the details of how deep neural networks represent image features. …”
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OSFS‐Vague: Online streaming feature selection algorithm based on vague set by Jie Yang, Zhijun Wang, Guoyin Wang, Yanmin Liu, Yi He, Di Wu

“…In real big data‐related applications, the patterns and distributions of streaming features constantly change over time due to dynamic data generation environments. …”
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Personalized preictal EEG pattern characterization: do timing and localization matter? by Galya Segal, Galya Segal, Noam Keidar, Moshe Herskovitz, Moshe Herskovitz, Yael Yaniv

“…Preictal activity before two seizures in the same patient shared common electrodes and features but differed in duration and timing.ConclusionPreictal activity, defined as prolonged intervals of uncommon EEG activity, varies in time, localization and signal patterns between individuals and varies in timing and duration between seizures of the same individual.…”
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Spatial Patterns in Fibrous Materials: A Metrological Framework for Pores and Junctions by Efi-Maria Papia, Vassilios Constantoudis, Youmin Hou, Prexa Shah, Michael Kappl, Evangelos Gogolides

“…Despite the fundamental structural similarity, the key feature that should be considered depends on the specific application. …”
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Mapping spatio-temporal patterns of creative industries development in the Czech Republic by Pavel Bednář, Lukáš Danko

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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…This dynamic interaction between features enhances the model’s ability to capture complex patterns associated with driver fatigue, leading to superior performance. …”
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