NEW STYLE OF THE CULTURAL HERITAGE by N. M. Mamedova

“…It is caused by deep-seated patterns of culture itself, increased integration in all spheres of society. …”
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THE ROLE OF FINANCIAL LAW DURING FINANCIAL CRISES AND RESTORATION OF ECONOMIC STABILITY by Andrii Borovyk, Oleksandr Kravchenko, Dmytro Makharynets

“… The modern global financial system is a complex dynamic mechanism whose stable functioning is a prerequisite for the development of both national economies and the global economy as a whole. …”
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Early repolarization syndrome in modern interpretation by T. V. Ashcheulova, N. M. Herasymchuk, I. V. Sytina

“…The history of the development of early repolarization syndrome has been shown since 1936 to present time, which was first described by R. …”
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Pigmentary Mosaicism: An Overview by C. Colmant, E. Legius, N. Cattaert, M.‐A. Morren

“…Pigmentary mosaicism is reflected by a patterned hypo‐, hyperpigmentation, or both combined in cutis tricolour. …”
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Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis by Nhat-Duc Hoang, Quoc-Lam Nguyen, Xuan-Linh Tran

“…The proposed approach includes image texture computation for image feature extraction and a piecewise linear stochastic gradient descent logistic regression (PL-SGDLR) used for pattern recognition. …”
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Spatial networks reveal how forest cover decreases the spread of agricultural pests by Débora C. Rother, Leandro G. Cosmo, Julia Tavella, Fredric M. Windsor, Mariano Devoto, Darren M. Evans, Paulo R. Guimarães Jr.

“…A next step in understanding the role of habitat heterogeneity in affecting pest spread is to understand how landscape features directly and indirectly affect spatial infestation patterns. …”
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ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data by Qiwei Dong, Runchen Yang, Xinrui Wang, Zongwen Feng, Chenggan Liu, Shiyu Chen, Yuxi Zhou, Dezhong Yao, Junru Ren, Qi Xu, Li Dong

“…However, few electroencephalogram (EEG) analysis methods were designed to capture these features. Here, we developed a novel approach to mine spatiotemporal information contained in EEG data. …”
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Sepsis like a severe complication of autoimmune liver disease in gastroenterological patients by A. A. Yakushev, I. G. Fedorov, L. Yu. Ilchenko, S. S. Shmycova, S. A. Rautbard, S. U. Orlov, I. G. Nikitin, A. V. Salicov

“…In article we present particular qualities of disease pattern and methods of treatment in patients with ulcer colitis associated with primary sclerosing cholangitis and autoimmune hepatitis. …”
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APPLICATION OF MARKET BASKET ANALYSIS ON HAJI UMAR STORE’S SALES DATA USING THE APRIORI ALGORITHM by Salsabilla Sadedin Nasution, Aninda Muliani Harahap, Adnan Buyung Nasution

“…To implement the Product Recommendation Feature, the study utilizes market basket analysis, a method used to examine consumer purchasing patterns. …”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

“…Integrating multi-omic datasets, we systematically explored the molecular features of MRM-related genes across various cancers and identified distinct expression patterns and prognostic associations. …”
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Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…ResNet, noted for its deep residual learning capabilities, significantly enhances the classifier’s proficiency in identifying intricate patterns and features from high-resolution images. …”
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Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. The training process incorporates a hybrid loss function that combines supervised contrastive (SC) learning and cross-entropy (CE) loss to enhance feature discrimination. …”
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JAMES BOND AND STIERLITZ IN THE CONTEXT OF “PERSONAL HISTORY” by Dar`ya A. Holub

“…The special understanding of the myth with its historical features, which has been developed in the literature by the end of the 20th century, with the obligatory coverage of the repetitive patterns in the life of mankind is emphasized. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…By fostering information exchange among local features, the model enhances comprehension of the global structural patterns of cracks and improves inference capabilities in recognizing intricate crack configurations. …”
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Optimality Theory in Egyptian Arabic Phonological Acquisition by Mona Maamoun

“…Previous research on EA phonological development has primarily focused on the acquisition of phonemes, syllable structures, phonological processes, and suprasegmental features. …”
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Economic-mathematical model for predicting financial market dynamics by Artur R. Musin

“…The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. …”
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Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

“…Artificial intelligence is a transformational development across multiple research areas within urban planning. …”
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Modeling Stock Price Changes Based on Microstructural Market Data by N. A.  Bilev

“…This paper describes the entire process of trading system development including feature engineering, models behavior comparison and creation of trading strategy with testing on historical data.…”
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Key social determinants of the Russian large family by R. M. Sadykov, N. L. Bolshakova

“…The authors analyse the social factors and features of having many children. The large families have undergone significant changes, have been greatly transformed in the process of social development and have a new social significance. …”
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Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease by Ibrahim Abunadi

“…In this study, four proposed systems with different methodologies and materials for tracking the stages of AD development are presented. The first proposed system is to classify a data set using artificial neural networks (ANNs) and feed-forward neural networks (FFNN) based on the features extracted in a hybrid manner by using a combination of Local Binary Pattern (LBP), Discrete Wavelet Transform (DWT), and Gray Level Co-occurrence Matrix (GLCM) algorithms. …”
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