COUGH IN CHILDREN: ETIOLOGY, DIAGNOSTIC FEATURES AND THERAPY APPROACHES by K. S. Volkov, L. S. Namazova-Baranova, E. I. Alexeeva, V. А. Barannik, А. Yu. Tomilova, E. А. Vishneva, К. E. Efendieva, О. I. Muradova

“…It is shown that selection of drugs depends on cough characteristics,its strength and other features.…”
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Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…An important aspect of visual saliency detection is how features that form an input image are represented. …”
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Transcriptional profile features in patients with early and late preeclampsia by V. E.A. Kotelnikova, D. E. Pantyukhova, F. D. Ablyamitova, S. N. Vikinskaya, Kh. U. Khalilova, L. F. Mustafaeva, D. A. Barieva, D. V. Yarovaya, N. D. Chopik, M. S. Ermakova, L. E. Sorokina

“…To examine PE phenotypic features, the main group of pregnant women with PE was subsequently divided into 2 subgroups according to the date of pathology onset: early (n = 10) and late (n = 13) PE. …”
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A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features by Diksha Giri, Ranjit Panigrahi, Samrat Singh Bhandari, Moumita Pramanik, Akash Kumar Bhoi, Victor Hugo C. de Albuquerque

“…Machine learning may help detect aberrant gait patterns early. Methods A novel ensemble classifier, the Dynamic Weighted Prediction Framework (DWPF), and an innovative feature selection methodology, Stability-Enhanced Dynamic Thresholding (SEDT), have been proposed for neurodegenerative disease detection. …”
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COVID-19 and post-disease features in patients with obesity by Ekaterina S. Frolova, Pavel P. Veselovsky, Galina A. Chumakova, Nadezhda G. Veselovskaya, Anna V. Ott

“…We focused on pathogenic infection mechanisms and features of post-COVID syndrome in people with obesity.…”
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A sparse tensor generator with efficient feature extraction by Tugba Torun, Ameer Taweel, Didem Unat

“…Another challenge lies in analyzing sparse tensor features, which are essential not only for understanding the nonzero pattern but also for selecting the most suitable storage format, decomposition algorithm, and reordering methods. …”
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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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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…With big data, it also allows us to reduce computational time, improve prediction performance, and better understand the data in machine learning or pattern recognition applications. In this study, we present a new feature selection approach based on hierarchical concept models using formal concept analysis (FCA) and a decision tree (DT) for selecting a subset of attributes. …”
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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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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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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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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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Unsteady Flow Patterns between Two Egg-Carton Corrugated Plates by Benjamin GIRÓN-PALOMARES, Abel HERNÁNDEZ-GUERRERO, Ricardo ROMERO-MÉNDEZ, Qiang HE

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