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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Urban Dynamics in Downtown Baghdad: Analyzing Syntactic Properties and Land Use Forms of AlShorja and Bab AlSharqi Areas by Noor Hadi Alsaffar, Dhirgham Alobaydi

“…This study explores how Baghdad’s downtown area incorporates this spatial arrangement into land use patterns to support vitality. Particularly attention is given to AlShorja and Bab AlSharqi (two districts within Downtown Baghdad). …”
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Graphical Notation for Document Database Modeling by M. V. Smirnov, R. S. Tolmasov

“…On the one hand, the development is well known to practitioners who have previously worked with relational data models, since its development took into account many years of experience in using graphical models in the field of relational database design, and on the other hand, it reflects the features of the structure of the document model.Conclusion. …”
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Extraction of <i>Suaeda salsa</i> from UAV Imagery Assisted by Adaptive Capture of Contextual Information by Ning Gao, Xinyuan Du, Min Yang, Xingtao Zhao, Erding Gao, Yixin Yang

“…In this paper, for <i>Suaeda salsa</i>, which is a weak target with a sparse distribution and inconspicuous features, relying on the high-resolution and spatial information-rich features of UAV imagery, we establish an adaptive contextual information extraction deep learning semantic segment model (ACI-Unet), which can solve the problem of recognizing <i>Suaeda salsa</i> from high-precision UAV imagery. …”
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A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT by Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim

“…Since the local binary pattern (LBP) and histogram of oriented gradients (HOG) feature extraction methods gave more successful results than other methods, a new feature map was obtained using the neighborhood component analysis (NCA) dimension reduction method after combining the features obtained using these methods. …”
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Cognitive constraints and lexicogrammatical variability in ASD: from diagnostic discriminators to intervention strategies by Sumi Kato, Sumi Kato, Kazuaki Hanawa

“…To clarify which linguistic variables contribute to this differentiation, the analysis focused on identifying key syntactic features associated with ASD-specific patterns of lexicogrammatical choices.MethodsThis study used the Tag Linear Model, developed in prior work, which enables identification of specific lexicogrammatical discriminators. …”
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Spatiotemporal Evolution of 3D Spatial Compactness in High-Speed Railway Station Areas: A Case Study of Chengdu-Chongqing North–South Line Stations (2015–2025) by Tijin Gui, Hong Yuan, Ziyi Liu

“…</i> Spatially, the southern line evolved from a <i>dual-core pattern at the terminals</i> to <i>multigradient development</i>, while the northern line maintained stable growth despite gradient discontinuities. …”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…The gathered information is processed with the help of Principal Component-Recursive Feature Elimination (PC-RFE), which eliminates the irrelevant features. …”
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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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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…To address these issues, we propose a novel interpretable residual shrinkage network, namely, ID3RSNet, for cross-subject driver drowsiness detection using single-channel EEG signals. First, a base feature extractor is employed to extract the essential features of EEG frequencies; to enhance the discriminative feature learning ability, the residual shrinkage building unit with attention mechanism is adopted to perform adaptive feature recalibration and soft threshold denoising inside the residual network is further applied to achieve automatic feature extraction. …”
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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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Comparison of the Spread of Novel Coronavirus: Topological Data Analysis of 13 Countries by Shaun V. Ault, Jia Lu

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Science and technology indicators by eyes of a librarian by V. S. Lazarev

“…The main directions of the International Conference «STI 2017: Open indicators: innovation, participation and actor-based STI indicators» (Paris, 6-8 September 2017) were the following according to the author's opinion: survey of geographical features, patterns of the science development and a choice of adequate indicators to evaluate these features and patterns; as well as development of new methods for data processing, sharing, analysis and use to assess science and technology. …”
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Detection Of Sentence Modality On French Automatic Speech-to-text Transcriptions by Luisa Orosanu, Denis Jouvet

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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…The biological interpretability of selected features reflects distinct neuroplasticity patterns between LGGs and HGGs, advancing understanding of glioma-network interactions.…”
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Backfire Effect Reveals Early Controversy in Online Media by Songtao Peng, Tao Jin, Kailun Zhu, Qi Xuan, Yong Min

“…These features capture psychological signals in user interactions—specifically, the patterns where controversial comments generate disproportionate replies or replies outperform parent comments in likes. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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Eosinophilic esophagitis: literature review and original case presentation by V. T. Ivashkin, Ye. K. Baranskaya, V. O. Kaybysheva, Ye. V. Ivanova, Ye. D. Fedorov

“…The aim of publication. To show features of clinical pattern, difficulties of diagnostics and treatment of eosinophilic esophagitis at the example of clinical case.Features of clinical case. …”
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Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convo... by Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid

“…Our approach leverages a combination of advanced feature embedding techniques. We extract multi-source protein information from primary sequences, employing FastText for discriminative subword-level patterns and ProtBERT (a protein large language model) for contextualized sequential features. …”
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Comprehensive Analysis to Reveal Amino Acid Metabolism-Associated Genes as a Prognostic Index in Gastric Cancer by Gangjun Zhao, Mi Wu, Qiuwen Yan

“…We developed a scoring system (AAM score) based on 4 AAM gene expressions to measure the AAM patterns of each patient. …”
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