Specific features of the clinical course and chemotherapy of tuberculosis in children exposed to tuberculosis with different drug resistance patterns by M. E. Lozovskaya, A. S. Kurova, E. B. Vasilieva, L. V. Klochkova, N. A. Nikiforenko, A. V. Mosina

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Pattern, clinical and laboratory features from of adult acute lymphoblastic leukemia patients from Kurdistan-Iraq by Dnya Jaza Mohammed, Sana Dlawar Jalal, Ahmed Khudair Yassin, Ali Ibrahim Mohammed

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Features of the clinical course of arterial hypertension in alien residents of Western Siberia with the establishment of patterns of metabolic changes by E. G. Ivanova, T. E. Potemina, O. O. Dvoynikova, E. K. Zeynalova, N. I. Minakova, V. A. Fadeeva

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Cellular Automaton Simulation of Tumour Growth – Equivocal Relationships between Simulation Parameters and Morphologic Pattern Features by Josef Smolle

“…Objective: To develop an interpretation procedure which estimates simulation parameters (tumour cell motility, tumour cell adhesion, autocrine and paracrine growth control, stroma destruction) of simulated patterns solely based on morphometric features of the morphologic pattern.…”
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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by Wafiq Azizah, Soffiana Agustin

“…The preservation of traditional batik patterns, often transmitted orally and through direct practice across generations, faces significant challenges in the modern era. …”
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Feature Set to sEMG Classification Obtained With Fisher Score by Diana C. Toledo-Perez, Marcos Aviles, Roberto A. Gomez-Loenzo, Juvenal Rodriguez-Resendiz

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Features of BE-perfect grammaticalization in the person-based auxiliation system of Barese by Danguolė Kotryna Kapkan

“… This paper seeks to identify patterns of the BE auxiliary usage in the Barese perfect which features a person-based auxiliary usage pattern but does not strictly adhere to it. …”
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Clinical characteristics, treatment patterns, and survival outcomes of 1031 patients with peripheral T cell lymphoma in china: a multicenter, real-world study by Ling Huang, Yong Yang, Zhenyu Zhao, Shengsheng Zhou, Jingsong Wu, Ning Wang, Fen Zhang, Keqian Shi, ChengPing Li, Xiaolei Wei, Hongyu Zhang, Yun Lin, Guowei Li, Hui Zhou, Hanguo Guo, Xinmiao Jiang, Xiaojuan Wei, Feili Chen, Sichu Liu, Caidi Lin, Zhanli Liang, Yilan Huang, Lu Pan, Hui Yang, Yirong Jiang, Yudan Wu, Shuqin Cheng, Huifang Yang, Xiaoqiang Zheng, Xinggui Chen, Xiaoliang Li, GuiNian Huang, Jihao Zhou, Zhigang Peng, Li-e Lin, Tingbo Liu, Wenyu Li

“…Method This retrospective study included 1031 patients of PTCL from January 2014 to March 2022 at 21 centers in China. The clinical features, treatment patterns, and survival outcomes of the Chinese PTCL population were reported. …”
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ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering by Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani

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Identification of lethality-related m7G methylation modification patterns and the regulatory features of immune microenvironment in sepsis by Dan Wang, Rujie Huo, Lu Ye

“…This study aimed to explore the patterns of lethality-related m7G regulatory factor-mediated RNA methylation modification and immune microenvironment regulatory features in sepsis. …”
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THE FEATURES OF RADIATING ELEMENT EXCITATION AMPLITUDE DISTRIBUTION INFLUENCE UPON RADIATION PATTERN OF MULTI-MODULE ANTENNA ARRAY by O. A. Yurtsev, N. M. Naumovich, A. P. Yubko

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The anthropotropic evolution of Chinese cyber language: a study of dissemination patterns, communication mechanisms, and self-regulatory features by Ke Jiang, Wei Li

“…This study analyses a corpus featuring cyber language collected over the past three decades, and examines content using a big data approach. …”
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A New Feature Extraction Technique Based on 1D Local Binary Pattern for Gear Fault Detection by Zrar Kh. Abdul, Abdulbasit Al-Talabani, Ayub O. Abdulrahman

“…In this paper, a new method is used to extract features from the vibration signal, called 1D local binary pattern (1D LBP). …”
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Clinicopathological features, molecular mechanisms and prognosis of microcystic, elongated and fragmented (MELF) pattern in endometrial carcinoma: a review by Xiaobo Zhang, Yixuan Zhen

“…This review aimed to remind pathologists of the clinicopathological features, molecular mechanisms and prognosis of the MELF pattern to avoid missed diagnosis or underdiagnosis.…”
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Variants of inward disorder pattern and self-awareness features among elementary school children with different dysontogenesis forms by Tatiana Adeeva, Inna Tikhonova, Svetlana Khazova

“… This study explored variants of inward disorder pattern (IDP) among elementary school children with different dysontogenesis forms. …”
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BIDpred: unraveling B cell Immunodominance hierarchical pattern using statistical feature discovery and deep learning prediction by Sungjin Choi, Dongsup Kim

“…To the best of our knowledge, this is the first study to systematically analyze and predict B cell immunodominance patterns, marking a significant advancement in vaccine design research.…”
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Construction of Ecological Security Pattern in Ecological Barrier Zone of Loess Plateau Based on “Importance-Sensitivity-Landscape Features” by Liu Hongjun, Niu Teng, Yu Qiang, Ma Jun, Yang Linzhe, Su Kai

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A weighted pattern matching approach for classification of imbalanced data with a fireworks-based algorithm for feature selection by N. K. Sreeja

“…To improve the performance of PMC+, Fireworks based Feature and Weight Selection algorithm based on the idea of PMC+ has been proposed. …”
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Novel accurate classification system developed using order transition pattern feature engineering technique with physiological signals by Mehmet Ali Gelen, Prabal Datta Barua, Irem Tasci, Gulay Tasci, Emrah Aydemir, Sengul Dogan, Turker Tuncer, U. R. Acharya

“…The proposed method employs the Order Transition Pattern (OTPat) feature extractor. The presented OTPat feature extractor captures both channel/column-based patterns (spatial features) using all channels for each point and signal/row-based patterns (temporal features) by extracting features from individual channels using overlapping blocks. …”
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Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning by Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi

“…We analyzed a number of complicated X-ray diffraction patterns using feature patterns obtained through unsupervised machine learning. …”
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