Immune-neuroendocrine reactivity and features of tuberculosis in pregnancy by Anna Starshinova, Anna Starshinova, Leonid P. Churilov, Igor Kudryavtsev, Igor Kudryavtsev, Artem Rubinstein, Artem Rubinstein, Ekaterina Belyaeva, Anastasia Kulpina, Anastasia Kulpina, Hong Ling, Min Zhuang, Dmitry Kudlay, Dmitry Kudlay, Dmitry Kudlay

“…In this review, we analyzed features of immunologic and immuno-neuroendocrine reactivity in pregnant women that influence for prevalence TB and TB/HIV coinfection. …”
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Features of BET method application to various adsorbents by V. M. Gun'ko

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Ecological features of mangroves as indicators of seawater intrusion by Suyadi , M. Basyuni, R. Amukti, C. Damayanti, D. Stokes, A. Mubaraq, Y.I. Rahmila

“…This study aimed to determine mangroves ecological features that can serve as indicators of seawater intrusion.METHODS: A geographic information system and geo-electric method were used, and remote sensing, vegetation survey, sample collection, and interview survey were performed.FINDINGS: Seawater intrusion is the major problem affecting groundwater quality in coastal areas, especially mall islands. …”
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Features of the sociocultural identity of a modern student by A. A. Ozerina, O. A. Ulyanina

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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

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ESSENCE AND FEATURES OF CONSULTING IN MODERN EDUCATIONAL ACTIVITIES by Lyudmila М. Skripnik

“…The article considers the concepts of «consulting» and «information consulting»; it reveals the features of pedagogical counselling in modern educational activities. …”
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FEATURES OF BILATERAL BREAST CANCER NODAL METASTASIS by Ye. A. Fesik, N. V. Krakhmal, M. V. Zaviyalova, Ye. M. Slonimskaya, S. V. Vtoryshin, V. M. Perelmuter

“…Thus, the identification of possible morphological and immunohistochemical characteristics of the tumor tissue and their comparison with the frequency and severity of regional lymph nodes would help to solve the problem of the identification of prognostic factors and markers associated with the risk of nodal metastasis in bilateral breast cancer. …”
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Distinctive Features of Faults for Use in Power Transformer Differential Protection by Glazyrin V.E., Litvinov I.I.

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Calculation Features of the Combined Schemes of Cooling of Refrigeration Units Condensers by Fot A. N.

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Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

“…This work presents a cost-effective proposal for feature selection, which is a crucial part of machine learning processes, and intends to partly solve this problem through computational time reduction. …”
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Maize leaf disease multiclass classification and recognition for sustainable agriculture using multi preceptive deep learning model by Vinay Gautam, Aadam Quraishi, Azzah AlGhamdi, Gaganpreet Kaur, Faisal Alghayadh, Haewon Byeon, Mohammed Wasim Bhatt

“…In order to address this problem, technology, more specifically artificial intelligence, has been a game-changer. …”
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Improving with Hybrid Feature Selection in Software Defect Prediction by Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi

“…So this research focuses on improving PSO performance by using feature selection methods with hybrid techniques to overcome these problems. …”
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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Classification is one of the most classic problems in machine learning. Due to the global optimization ability, evolutionary computation (EC) techniques have been successfully applied to solve many problems and the evolutionary classification model is one of the methods used to solve classification problems. …”
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PECULIARITIES OF CARTOGRAPHIC COMPETENCE FORMATION IN 10TH GRADE STUDENTS BY MEANS OF A GEOGRAPHY TEXTBOOK by Vitaly V. Bezugly, Galina О. Lisicharova

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RF Signal Feature Extraction in Integrated Sensing and Communication by Xiaoya Wang, Songlin Sun, Haiying Zhang, Qiang Liu

“…Radio frequency (RF) individual identification technology is an important means to solve its security problems at present. Whether using machine learning methods or current deep learning-based target fingerprint identification, its performance is based on how well the radio frequency features (RFF) are extracted. …”
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Promoting Emotional Well-Being in Older Adults: Teaching Self-Regulation to Address Obsession and Depression by Maryam Mehrara, Neda Fatehi, Valeh Jalali

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Feature of growing of winter crops at the terms of changes of climate by О. І. Рудник-Іващенко

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Train Hidden Investigation Method Based on Feature Set by CHEN Chaolu, CHEN Jianxiao, XIAO Zhijun

“…Aim at the problems of heavy workload, low efficiency and high residual error rate for the current artificial train hidden investigation, a method and system for train hidden faults automatic troubleshooting based on feature set matching was proposed through train characteristics data and fault feature samples acquiring. …”
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A Semisupervised Feature Selection with Support Vector Machine by Kun Dai, Hong-Yi Yu, Qing Li

“…Feature selection has proved to be a beneficial tool in learning problems with the main advantages of interpretation and generalization. …”
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