Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping by Christian A. Webb, Boyu Ren, Habiballah Rahimi-Eichi, Bryce W. Gillis, Yoonho Chung, Justin T. Baker

“…Abstract Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and phone usage patterns) which may predict increases in negative affect in real-time in individuals’ daily lives. …”
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“Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

“…The topic is of particular interest to linguists, since the active development of the digital environment leads to the emergence of new means and forms of speech production and speech perception, with their own distinctive features, patterns and rules of construction. …”
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A hybrid LSTM-transformer model for accurate by Tianren Zhao, Yanhui Zhang, Minghao Wang, Wei Feng, Shengxian Cao, Gong Wang

“…These complementary features are fused to enable joint modeling of battery health states. …”
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30th anniversary of the Ural school of drama: Institutions and persons by Oleg A. Bogaev

“…The purpose of the article is to identify patterns and features of the formation and development of the Ural School of Drama since the 1990s. up to the present time from the standpoint of institutions and persons in the socio-cultural context.…”
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Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt by Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ali Maher, Amir Ismail

“…Seismic attribute analysis can enhance the tracking of subtle stratigraphic features. It is challenging to investigate these subtle features, including channel systems, with conventional-amplitude seismic data. …”
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Agglomerations of The Stavropol Region: Comparison of Spatial and Demographic Dynamics by V. M. Eshrokov, A. A. Cherkasov, N. V. Sopnev

“…At the present stage, demographic processes in the Stavropol Krai most intensively occur within the “borders” of the represented agglomerations; migration processes are observed leading to the population being drawn into the centers of agglomerations, which increases their role in the settlement system.The purpose of this study is to compare the spatial and demographic dynamics of agglomerations in the Stavropol Krai, highlighting common features in demographic processes and features characteristic of each agglomeration.Materials and research methods. …”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…Deep learning techniques, on the other hand, excel at extracting complex patterns and features from large-scale data. By integrating fuzzy logic with deep learning, the EIFL-DL framework harnesses the strengths of both approaches to overcome the limitations of traditional RSs. …”
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Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics by Pavel Ilyushin, Boris Papkov, Aleksandr Kulikov, Konstantin Suslov

“…The algorithm and methods developed to analyze the power consumption patterns of industrial enterprises can be used to develop automatic power consumption management systems.…”
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Calculation and Experimental Study of the Dynamics of the Track Mover Bypass of a Cross-Country Transport Vehicle by Alexey I. Taratorkin, Sergey V. Abdulov, Viktor B. Derzhanskii, Alexandr A. Volkov, Evgeniy B. Sarach, Alexandr I. Komissarov

“…Thus, based on the results of the studies, the features of dynamic processes in the track mover were established, the main patterns of the formation process of transverse oscillations, their dependence on the design parameters of the bypass and various operational factors were revealed.…”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…For two of those pipelines, Common Spatial Patterns (CSP) and Short Time Fourier Transform (STFT) were successfully used as feature extraction algorithms where both these algorithms are significantly new for meditation EEG. …”
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Modern trends in the health care system of Russia: drop or rise by Yuliya Zh. Sadykova

“…Banin, McKee Martin and others).The main directions of development of the national medicine for the specified period of time, its characteristic features and problems of concern that cause dysfunction in the work of the health care protection mechanism for the citizens were identified in the context of the dynamics in such statistical indexes as the total number of hospital and outpatient clinics, hospital beds in them, the number of doctors and the state of morbidity of the population, published by the Federal State Statistics Service.As a research task, attempts were made to assess the impact of changes in these indexes on the state of Russian health care over the period as a whole. …”
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A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

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Current Approaches to the Treatment of Traumatic Shock (Review) by D. A. Ostapchenko, A. I. Gutnikov, L. A. Davydova

“…The use of a comprehensive multicomponent intensive care strategy matching the pathophysiological changes is a difficult challenge for a critical care physician.The aim of the review is to demonstrate the specific features and sequence of events occurring in the body during the development of traumatic shock, the pattern of manifestations of clinical signs, and potential use of intensive therapy methods tailored to the pathophysiological responses in traumatic shock.Material. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

“…Additionally, the influence patterns of proppant volume on well productivity were comprehensively analyzed to optimize reasonable proppant volumes for different wells and intervals. …”
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THEORY AND HISTORY OF ART TUITION AT SECULAR AND RELIGIOUS EDUCATION INSTITUTIONS IN THE 19TH AND EARLY 20TH CENTURIES by A. M. Kopirovsky

“…It is necessary to provide both new forms and methods of teaching, and judgment of the ways of conducting educational process existing earlier.The aim of the research is to identify specific features of academic subject formation patterns, in particular, the forms and stages of transitioning from random aesthetic knowledge acquisition («perception of beauty») towards more comprehensive curricula saturated with visual and factual information; and the nature of subject-specific tuition.Methodology and research methods involve the retrospective analysis of the archival materials, documents and other sources concerning the declared subject; generalization and projection of experience of the past to modern realities.Results and scientific novelty. …”
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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

“…Algorithms for a dermatoscopic module are based on the Haar transform, Local Binary Patterns and color features. Algorithms for OCT are based on the texture features of Haralick, Tamura, fractal dimension, complex directional field and Markov random field. …”
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Historian of science in the historiographic space of Caucasian studies by Petr A. Kuzminov, Angela A. Zhurtova, Inna S. Tahusheva, Natalia S. Lavrova

“…How is historical fact included in the system of historiographic relations? Are there any features in the development of this process in Caucasian studies, or do they correspond to all-Russian patterns? …”
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Research progress on effects of CO2 injection on formations during geological storage by WANG Zhanpeng, LIU Shuangxing, LIU Qi, YANG Shugang, ZHANG Min, XIAN Chenggang, WENG Yibin

“…Fluid dissolution, migration, and precipitation are the fundamental features affecting formation stability and storage efficiency. …”
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Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer by Nobuko Irie, Naoki Takeda, Yorifumi Satou, Kimi Araki, Masahiro Ono

“…Here, we introduce an integrative approach combining molecular biology and machine learning to elucidate Foxp3 transcriptional dynamics through flow cytometric Timer analysis. We have developed a convolutional neural network-based method that incorporates image conversion and class-specific feature visualisation for class-specific feature identification at the single-cell level. …”
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Unraveling Street Configuration Impacts on Urban Vibrancy: A GeoXAI Approach by Longzhu Xiao, Minyi Wu, Qingqing Weng, Yufei Li

“…While previous studies have emphasized the connection between built environment features—especially street network centrality—and urban vibrancy, the broader mechanisms through which the full spectrum of street configuration dimensions shape vibrancy patterns remain insufficiently examined. …”
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