Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

“…One of the key tasks when working with unstructured data is to find and identify patterns in order to understand them and develop filling patterns. …”
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Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method by Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang

“…Revealing spatial clustering patterns among urban geographic units is crucial for synergistic regional development and integrated urban management. …”
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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study by Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

“…In the future, strategies need to be developed to combat this deadly disease.…”
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Service Marketing Analysis Of Movies As Unique Service-Products by Horváth Ádám, Gyenge Balázs

“…One of the features of films compared to other cultural products is the possibility of their use for advertising and information activities and influence on the formation of needs and audience preferences, as well as different patterns of consumer behavior. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…This method leverages TCN's causal and dilated convolution operations to capture long-term sequential features, BiLSTM's bidirectional information processing to ensure the completeness of sequence information, and the SEAttention mechanism to assign adaptive weights to features, effectively enhancing the focus on key features. …”
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Panoramic spatial enhanced resolution proteomics (PSERP) reveals tumor architecture and heterogeneity in gliomas by Ziyan Xu, Yunzhi Wang, Tao Xie, Rongkui Luo, Heng-Li Ni, Hang Xiang, Shaoshuai Tang, Subei Tan, Rundong Fang, Peng Ran, Qiao Zhang, Xiaomeng Xu, Sha Tian, Fuchu He, Wenjun Yang, Chen Ding

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Exploring the association between gender equality in the family and fertility intentions: an explanation of the findings in low-fertility countries by Victor Leocádio, Ana Paula Verona, Simone Wajnman

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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. …”
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HISTORICAL, FAUNISTIC AND ZOOGEOGRAPHICAL CHARACTERISTIC OF MAMMALS OF THE CAUCASUS by G. M. Abdurakhmanov, A. M. Batkhiev

“…The aim of the work was to conduct a historical analysis of the development of a modern faunal zoogeographical structure of the Caucasus theriofauna.Methods. …”
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SPECIALIZED MAPPING OF CRUSTAL FAULT ZONES. PART 2: MAIN STAGES AND PROSPECTS by K. Zh. Seminsky

“…On the one side, the method requires time-consuming mass mea­surements and special processing of 'dumb' joints; on the other side, it provides for analyses of abundant jointing data, ensures a high level of detail in mapping of patterns of fault zones, reveals rank subordination of faults and helps to determine other specific features of fractures and faults. …”
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Speech Competencies in Russian-Speaking Monolinguals of the Tyva Republic in the Context of Tuvan-Russian Bilingualism by Evgeny Y. Litskevich

“…Language acquisition, especially when it is the second language, follows psychological rather than linguistic patterns, e.g., assimilation and imitation. In this research, we made an attempt to study the individual psychological features of speech as a higher mental function. …”

Generation and recognition of eye movement samples based on generative artificial intelligence by TAN Xueqing, SONG Jun, ZHANG Manman, ZANG Chuanli

“…Interpreting generative datasets based on grey relational analysis and confusion matrix.ResultsThe results showed that： （1）the eye movement datasets generated by VAE for 4， 5， and 6 years old children had higher accuracy than the MINIST dataset（mixed National Institute of Standards and Technology）， and were consistent with the MLP analysis results， with accuracy， diversity， and certain interpretability； （2）The results of generative eye movement data and confusion matrix indicated that in unfocused structure， children’s understanding level improved at the ages of 4~5 and 5~6， while the eye movement characteristics of object-focus structure and subject-focus structure changed less at the ages of 4~5 and more at the ages of 5~6， indicating that children’s understanding of focus structure was a critical period at the age of 5， which was in line with the development law of children’s understanding of focus structure.ConclusionsThe artificial intelligence coupling analysis proposed in this article could identify the development patterns of eye movement features and generate reliable new samples， providing new ideas for the combination of generative artificial intelligence and eye movement technology.…”
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THE HUNGARIAN FOOTWEAR INDUSTRY IN GLOBAL PRODUCTION NETWORKS: THE CASE STUDY OF BERKEMANN HUNGARY by ERNŐ MOLNÁR, ISTVÁN MÁTÉ LENGYEL

“…Sector-level assessment of the processes – including the changing geographical patterns of footwear industry which also indicate features of path-dependence – was performed in several previous works of the authors. …”
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Spatial analysis of femtosecond laser generated plasma using principal component analysis by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…Abstract The appearance of plasma generated during femtosecond laser machining depends strongly on the features present on the sample before machining occurs. …”
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CELLULAR GENOME IN PATHOGENESIS OF BASIC DISEASES IN HUMANS (ATHEROSCLEROSIS, AUTOIMMUNE DISEASES, CANCER) by V. A. Kozlov

“…First of all, it concerns epigenetic regulatory mechanisms of gene expression that show virtually identical patterns of changes, i.e., total hypomethylation and reversible hypermethylation of distinct genes. …”
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Cultivating big data talent by combing various disciplines and utilizing multiple resources by Libo WU

“…Rapid development of big data science and technology put forward great challenges to talent cultivation.Data scientist should have the capability of coax commercial value from tremendous data and require multi-disciplinary training.Based on the progress and demand of cultivating big data talent,the patlerns of cultivation big data talent by combing various disciplines and utilizing multiple resources were discussed.In the patterns of talent cultivation,core knowledge system should be built and the basis of innovation capability should be solid.The talent cultivation should have data resource.Therefore,breaking through the data open barriers of government,private firms and universities and providing real world data is essential for talent education.To strengthen the interdisciplinary features,talent cultivation should remove the barriers of disciplines and build up systematic standards through the teaching,internship,graduate and evaluation.…”
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The Time-Space Regimes of Human Mobility in the North Atlantic Island Spaces (Iceland, Azores, Madeira, the Canary Islands, and Cape Verde) by Luis Manuel Jerez-Darias, Josefina Domínguez-Mujica

“…To this end, it is necessary to recognise the rhythms of the migration transition and its parallelism with the socio-economic development of the island spaces themselves. In addition, common features can be identified in their recent migration patterns in which a great diversification of origins and destinations predominates, as well as a multiplicity of motivations. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…The major challenge is inserting area-specific understanding into ML frameworks to extract features that effectively distinguish between different vessel types. …”
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From the Ocean to the Gulf: One Region’s Identity in the Context of Neomodernity by V. A. Kuznetsov

“…The first pattern considers the WANA region in a traditional modernist sense as the Middle East, whereas the second one accentuates its premodern features and conceptualizes it as part of the Islamic world. …”
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Intellectual elite and Homo intellectualis of the information civilization by Tamara L'vovna Salova

“…The emergence of a new class of intellectuals - the intellectual elite - is associated with the transition to an information civilization, which is considered by futurologists as the modern stage of human development, when intelligence becomes the central concept, and intellectual culture determines the level of intelligence development.The study of the role of the intellectual elite in the society and the description of the "portrait" of a representative of the intellectual elite is the purpose of the research.The methodological basis of the research is a dialectical logic, which gives an idea of the patterns of the development; a systematic approach associated with the idea of an object as an integral system, with the identification of diverse types of connections of a complex object and bringing them into a single theoretical picture.As a result of the research, the main purpose of the intellectual elite has been revealed, the features of intellectual labor in a society with a network structure of interaction determined, and the conclusion made that the intellectual elite is at the same time a spiritual and moral elite, i.e. represents the modern intelligentsia.The rationale for the introduction of the new concept of "Homo intellectualis" (intellectual person) into scientific circulation can be considered as a key conclusion.The relevance of the topic and its practical significance is connected with the strategic line of the state to raise the prestige of intellectual labor and increase the intellectual potential of the nation.…”
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