Affect of Features of a Microorganism Strain on a Scope of Exclusive Rights by F. S. Ivanov, K. V. Nasonova

“…A brief review of regulatory acts on registration of a strain as an intellectual property subject is presented. It was defined features of a microorganism strain for patenting and for establishing an infringement of patent rights in the territory of Russian and foreign countries. …”
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Bearing fault diagnosis method based on dual-channel feature fusion by ZHANG Xiaoning, ZHU Huilong, XIN Liang, YANG Muchen, WANG Hao

“…To solve this limitation, this paper presents a rolling bearing fault diagnosis method based on dual-channel feature fusion. …”
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A Study of Stylistic Features of Cricket Commentary: A Discourse Analysis by Hamid Naveed, Hazrat Umar

“…After analyzing the data in the light of Halliday’s notion of register comprising field, tenor, and mode, it is found that cricket commentary is characterized by special syntactic features such as ellipsis, extensive use of exclamatory sentences, the abundant use of the simple present tense and simple sentences, passive construction notably in elliptical form, first and third conditionals, and inversion. …”
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HISTOLOGICAL AND HISTOMETRIC FEATURES OF THE LARGE INTESTINE IN THE BRONZE TURKEY (MELEAGRIS GALLOPAVO) by D. Yovchev

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Relationship of white matter hyperintensities with clinical features of seizures in patients with epilepsy by Ferda Ilgen USLU, Elif ÇETINTAŞ, İsmail YURTSEVEN, Alpay ALKAN, Mehmet KOLUKISA

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A Study of Stylistic Features of Cricket Commentary: A Discourse Analysis by Hamid Naveed, Hazrat Umar

“…After analyzing the data in the light of Halliday’s notion of register comprising field, tenor, and mode, it is found that cricket commentary is characterized by special syntactic features such as ellipsis, extensive use of exclamatory sentences, the abundant use of the simple present tense and simple sentences, passive construction notably in elliptical form, first and third conditionals, and inversion. …”
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Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy by Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger

“…Conclusion The introduction of disease‐modifying SMA therapies, followed by the implementation of SMA in newborn screenings, has presented physicians with never‐seen patients. We used feature engineering tools to overcome one of the main challenges when using data‐driven approaches in rare disease data sets. …”
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Image Classification of Imbalanced Wood Microscope by Integrating Multi-source Features by Zhikang Tian, Na Zhang, Jiwei Wang, Liwei Sha, Hongping Liu, Li Zou

“…This paper presents a multi-source feature fusion classification, which combines traditional local feature description with automatic feature extraction by deep learning. …”
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Methodology for acid treatment design considering structural features of the bottomhole area by A. G. Malov, L. S. Kuleshova, R. A. Gilyazetdinov, R. F. Yakupov

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Feature Generation with Genetic Algorithms for Imagined Speech Electroencephalogram Signal Classification by Edgar Lara-Arellano, Andras Takacs, Saul Tovar-Arriaga, Juvenal Rodríguez-Reséndiz

“…This algorithm can efficiently explore ample feature space and identify the most relevant features for the task. …”
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Features of Labour Productivity Measurement in Medical Organizations of the Kemerovo Region – Kuzbass by Artem N. Popsuyko, Galina V. Artamonova

Audio Feature Space Analysis for Emotion Recognition from Spoken Sentences by Lukasz SMIETANKA, Tomasz MAKA

“…An analysis of low-level feature space for emotion recognition from the speech is presented. …”
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Discriminative Features Extraction for Plant Disease Classification Using Deep CNN by Hira Farman, usman Amjad

“…Other measures of evaluation of the presented model are precision of 0.9139; recall of 0.9034; the F1 score was 0.9019. …”
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Influential nodes identification for complex networks based on multi-feature fusion by Shaobao Li, Yiran Quan, Xiaoyuan Luo, Juan Wang

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An Indoor Scene Classification Method for Service Robot Based on CNN Feature by Shaopeng Liu, Guohui Tian

“…To solve this problem, an indoor scene classification method is proposed in this paper, which utilizes CNN feature of scene images to generate scene category features to classify scenes by a novel feature matching algorithm. …”
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Study of structure features and properties of thermodifusion heat resistant coatings on copper by V. M. Konstantinov, V. G. Dashkevich, I. V. Pletenev

“…The article presents data on the features of the structure and properties of heat-resistant layers obtained by thermal diffusion aluminization and siliconization of copper (grade M1) in powder saturating media. …”
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Imaging Features of Leydig-Cell Tumour of the Testis: A Case Report by Shrishail Adke, Ajith Varrior

“…The authors report a case of a 19-year-old male who presented with complaints of small testes. Apart from raised 17-alpha-hydroxy-progesterone (6 ng/mL), the rest of the hormonal and tumour marker workup was normal. …”
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Recombining Features of Frequency Domain and Location for Machine Recognition of Sign Language by Sirous Tannaz

“…In this article, a system for recognizing Persian sign language alphabets is presented. This system is able to recognize 32 hand postures for Persian alphabets and translate it into Persian text. …”
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A Deep Learning Approach for Spatiotemporal Feature Classification of Infrasound Signals by Xiaofeng Tan, Xihai Li, Hongru Li, Xiaoniu Zeng, Shengjie Luo, Tianyou Liu

“…Infrasound signal classification remains a critical challenge in geophysical monitoring systems, where classification performance is fundamentally constrained by feature extraction efficacy. Existing two-dimensional feature extraction methods suffer from inadequate representation of spatiotemporal signal dynamics, leading to performance degradation in long-distance detection scenarios. …”
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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

“…We exploit the richness of a wide range of facial features extracted from video recordings during the task, to train a Markov-Switching Linear Regression (MSLR). …”
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