Meaning and Use of the Words DOBROVOLETS and VOLUNTEER in the Russian Language (according to the Russian National Corpus) by J. N. Ilyina

“…The relevance of addressing the stated pair of words is due to a question that arises, for example, to reporters: in which case it is better to use the word dobrovolets , and in which - volunteer . To solve this problem, an attempt was made to highlight the history of the formation and development of the semantic structure of the words dobrovolets and volunteer, as well as to identify and describe the distinctive semantic features of the considered lexemes in modern Russian language. …”
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Research on Particle Filter Video Tracking Algorithms by YU Shuchun, TONG Xiaoyu

“…Aiming at the problem of insufficient robustness of moving target tracking in complex scenes, a particle filter target tracking algorithm based on CNN feature extraction is proposed CNN selflearning mechanism is used to extract highlevel semantic features of objects in images Chaotic sequence variable scale firefly algorithm is introduced to improve the accuracy of target recognition A particle filter tracking algorithm combining mean shift and weight optimization is constructed to optimize the weight of particles, improve the diversity of particle sets and make video tracking more accurate The simulation results show that the proposed algorithm can effectively adapt to occlusion, illumination, violent motion and other scenes, and has good adaptability and high realtime performance to illumination change, scale change, occlusion and so on The results of comparison with seven other methods show that under the same experimental conditions, the tracking success rate and tracking accuracy of this method are 5%~40% higher than those of other methods…”
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An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets by Yuhao Hou, Baixiao Chen

“…The proposed approach leverages the augmented implicitly restarted Lanczos bidiagonalization (AIRLB) algorithm to decompose echo matrices into different subspaces, which are then characterized in relation to Doppler frequency, energy, and correlation. These features are employed to classify the clutter subspaces using an SVM classifier, which solves the problem of selecting the SVD threshold. …”
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Diabetes mellitus as a risk factor for development retinopathy of prematurity. Review by S. I. Makogon, N. V. Gorbacheva, Y. S. Khlopkova

“…Retinopathy of prematurity (ROP) is a complex and unresolved problem in pediatric ophthalmology, leading to visual disability. …”
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Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Phase Space Reconstruction and Improved GSA-SVM by Xiaofei XIA, Yufeng LU, Yi SU, Jian YANG

“…The PSO-GSA-SVM can quickly and effectively identify the fault types of circuit breakers, thus providing an effective solution to such problems as path distortion, energy leakage and mode overlap of existing diagnosis methods.…”
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Investigating the relationship between emotional intelligence and shooting scores among the military staff by ali roshandel hesari, Mohammad Hosein Daneshi Nejad

“…Conclusion: Therefore, paying attention to the features and factors of emotional intelligence can be helpful in improving the shooting scores of military personnel.…”
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Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification by Gayathri Rajagopal, Ramamoorthy Palaniswamy

“…However, information fused at feature level has the problem of curse in dimensionality; here PCA (principal component analysis) is used to diminish the dimensionality of the feature sets as they are high dimensional. …”
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DECOLONIAL CHALLENGES TO RELIGIOUS STUDIES by Frederico Pieper

“…In the first part, it points to the main features of what is understood as decolonial, adopting the thought of Walter Mignolo as a reference. …”
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Using an integrated approach in the process of esthetic education of schoolchildren by means of the ingush folklore by Fatima Belanovna Sautieva

“…The novelty of the research. The problem of organizing aesthetic education of schoolchildren by means of folklore is relevant for the regions of Russia, inhabited by peoples who are anxious about their original culture and are trying to pass its foundations to a younger generation. …”
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Resistant arterial hypertension: is it really so or have we missed something? by V. A. Ionin

“…This publication discusses the relevance of the problem of blood pressure control in patients with resistance to drug therapy in real clinical practice. …”
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Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure by Qun Luo, Zhendong Liu

“…The existing face detection methods usually had the problem of low accuracy of face recognition in the environment of occlusion interference, which was limited when applied to the face detection task in complex scenes. …”
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Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools by Md Akib Zabed Khan, Agoritsa Polyzou

“…Predicting the number of students enrolled in a specific class in the next semester can help with this task. To address this problem, we investigate various machine learning models (direct and indirect methods) using different features of course enrollment data of past students to predict the number of enrollments in possible courses in the upcoming semester. …”
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Formation of Zemstvo Electorate in Ufa Governorate in 1874-1912 by G. B. Azamatova

“…By comparative analysis with the data of the neighbouring governorates similar and distinctive features of the provincial electorate in the provinces of the Volga-Ural region are identified.…”
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THE CITY POLICE OF SMOLENSK PROVINCEDURING THE NIKOLAYEV ERA: ISSUES OF PERSONNEL POLICY by Chikov S.S.

“…When considering the degree of study of the problem, special attention is paid to modern historiography. …”
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FOOD WASTE MANAGEMENT USING STATISTICAL ANALYSIS TO OBTAIN NEW FUNCTIONAL PRODUCTS by Gjore NAKOV, Zlatin ZLATEV, Nastia IVANOVA, Ivan DIMOV

“…A problem in food industry is the various types of waste that are produced during and after food preparation. …”
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Człowiek i mistyka w ujęciu Evelyn Underhill by Mirosław Kiwka

“…Beginning with the concept of mystical experience and its main characteristics, the clasification of the phases of the Mystic Way, through the problem of the authenticity and unity of the mystical testimonies, step by step, including the context of magic, anthropological structures and psychology, are presented the fundamental features of Underhill’s theory of mysticism. …”
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Development of Latvian-English‑Latvian Dictionaries of Legal Terms (1991–2017) by Laura Karpinska

“…The analysis reveals some typical features of the Latvian-English-Latvian dictionaries of legal terms as well as their development that is related to increase in the number of headwords, complexity of the microstructure and lexicographic solutions applied in order to tackle the problem of non-equivalence. …”
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An emotional classification method of Chinese short comment text based on ELECTRA by Shunxiang Zhang, Hongbin Yu, Guangli Zhu

“…In response to such problem, the text proposes a new method based on ELECTRA and hybrid neural network. …”
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TSL:predicting popularity of Facebook content based on tie strength by Xiaomeng WANG, Binxing FANG, Hongli ZHANG, Xing WANG

“…The rapid development of online social networks leads to an explosion of information,however,there are great differences in the popularity of different messages,and accurate prediction is always a great difficulty is the current study.Popularity prediction of online content aims to predict the popularity in the future based on its early diffusion status.Existing models for popularity prediction were mostly based on discovering network features or fitting the equation into a varying time function that the accuracy of current popularity prediction model was not high enough.Therefore,with the help of the weak ties theory in sociology,the concept of tie strength was introduced and a multilinear regression equation was constructed combined with the early popularity.A TSL model to predict the popularity of Facebook’s well-known pages was proposed.The main contribution of this article was to solve the problem and few or no work based on sociology.A high linear correlation between the proportion of faithful fans was existed in Facebook homepage with frequent shares in the early and the future popularity.Compared with other baseline models,an experimental study of Facebook (including 1.54 million shares) illustrates the effectiveness of the proposed TSL model,and the performance is better than the existing similar methods.…”
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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…Firstly, the real-time and efficient target detection backbone network VoVNet is used to replace the feature extraction network VGG16. The residual structure is integrated to solve the problem of VoVNet network degradation to improve network performance. …”
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