THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT by Yuliya I. Demyanchuk.

“…On the other hand, the second analysis was created to illustrate the cognitive model of the metaphor through the military expression. …”
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A visitor-enriched census in the U.S. cities using large-scale mobile positioning data by Meicheng Xiong, Di Zhu, David Van Riper

“…The proposed data generation framework is adaptive, allowing future integration of diverse socio-demographic features at varying spatial and temporal scales. Overall, this visitor-based census represents an effort to enrich resident-based census knowledge by incorporating mobilities and spatial interactions in human digital traces, bridging the gap between aggregated and individual analysis, as well as between conventional census and mobile phone data.…”
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Urban sensing using existing fiber-optic networks by Jingxiao Liu, Haipeng Li, Hae Young Noh, Paolo Santi, Biondo Biondi, Carlo Ratti

“…Abstract The analysis of urban seismic signals offers valuable insights into urban environments and society. …”
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THE MAIN ASPECTS OF DIAGNOSIS AND PREVENTION OF OPISTHORCHIASIS by Татьяна Евгеньевна Помыткина, Ольга Ивановна Пивовар

“…The aim of the research – to identify the features of clinical manifestations and laboratory diagnostics of chronic opisthorchiasis in adults and children. …”
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A novel method for estimating functional connectivity from EEG coherence potentials by Narayan Puthanmadam Subramaniyam, Tara C. Thiagarajan

“…Abstract Analysis of functional connectivity can provide insights into how the brain performs various cognitive and behavioral tasks as well as the neural mechanisms underlying several pathologies. …”
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Identifying Key Idiolect Markers in Sociolinguistic Profiling: A Scoping Review and Analytical Framework for Real-world Applications by Vitalii Shymko

“…Our findings reveal that idiolect markers exhibit varying accuracy rates depending on the context, with digital communication settings achieving up to 91% accuracy using linguistic features, and spoken interactions excelling with non-linguistic markers at 85%. …”
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Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Neurons in sensory pathways exhibit a vast multitude of adaptation behaviors, which are assumed to aid the encoding of temporal stimulus features and provide the basis for a population code in higher brain areas. …”
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MEDICAL AND SOCIAL ASPECTS OF FEMALE POPULATION SUFFERING FROM TUBERCULOSIS IN VORONE ZH REGION by O. V. Velikаya, A. V. Аkulovа, S. I. Kаyukovа

“…Women living in urban settings suffered more often from infiltrate pulmonary tuberculosis with bacillary excretion. The specific features of pulmonary tuberculosis among female patients living in rural settings of Voronezh Region compared to those residing in urban areas are the following: higher frequency of severe forms of the disease (disseminated tuberculosis and caseous pneumonia) and post mortem detection of pulmonary tuberculosis and higher frequency of bacillary excretion.…”
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Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

“…The proposed approach is readily deployable within real-time monitoring systems, offering a reliable and interpretable solution for intelligent risk detection and early warning in cementing operations.…”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…Automated models can rapidly and accurately process large datasets, revolutionizing tumor detection and classification. However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. …”
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Assessment of degraded lands in the Ile-Balkhash region, Kazakhstan by Sanim Bissenbayeva, Ruslan Salmurzauly, Ruslan Salmurzauly, Aigul Tokbergenova, Nazym Zhengissova, Jialuo Xing

“…To achieve the set goal of objectives, a variety of methods were employed, including desertification divided index (DDI) for the identification of desertification dynamics, correlation analysis for the detection of relationships between different indicators, and Principal Component Analysis (PCA) for the modelling of the desertification risk rate in the study area. …”
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Bird Call Identification Using Ensemble Empirical Mode Decomposition by Jingxuan Liu, Hailan Chen

“…These ratios, in conjunction with the correlation coefficients are used as the call features. Finally, applying a support vector machine classification and recognition algorithm enables a comparative analysis of various calls. …”
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Assessing Locomotive Syndrome Through Instrumented Five-Time Sit-to-Stand Test and Machine Learning by Iman Hosseini, Maryam Ghahramani

“…Using acceleration data, 144 features were extracted, and seven distinct machine learning models were developed using the features. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…This work presents a new method combining advanced acoustic feature extraction techniques, such Mel-frequency cepstral coefficients (MFCC) and spectrogram analysis, with state-of- the-art neural network and its hybrid architectures such convolutional neural networks (CNNs), long- and short-term memory (LSTM) with CNN, and gated recurrent unit (GRU) combined with CNN. …”
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Identification of Novel Bioactive Compound Derived from Rheum officinalis against Campylobacter jejuni NCTC11168 by Mohammed Yosri, Basma H. Amin, Nermine N. Abed, Amal S. Elithy, Sayed M. Kareem, Nagwa M. Sidkey

“…Twenty plants were screened to detect their antibacterial activities. Screening results showed that Rheum officinalis was the most efficient against C. jejuni. …”
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Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach by Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais

“…NSCT's shift‐invariant, multiscale, and multidirectional capabilities allow for precise separation of oscillatory and transient components, while the split augmented Lagrangian shrinkage algorithm enhances decomposition efficiency. Features such as signal energy, entropy, and trend energy were extracted and visualized in a 3D feature space, demonstrating clear clustering for different PQ events. …”
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Analyzing the Morphology of Late-phase Stellar Flares from G-, K-, and M-type Stars by Denise G. Yudovich, Kai E. Yang, Xudong Sun

“…Our analysis identifies 10,142 flares with discernible classical and complex morphology, of which 197 (∼1.9%) exhibit the peak-bump feature. …”
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The diagnostic and predictive potential of lncRNA CASC2 targeting miR-155 in systemic lupus erythematosus patients with nephritis complication by Nada R. Mohamed, Abeer l. Abd El-Fattah, Olfat Shaker, Ghadir A Sayed

“…The disease activity index (SLEDAI) for SLE was evaluated, and the analysis of the receiver operating characteristic (ROC) curve was implemented. …”
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Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning Algorithms by Mengyi Sun, Linping Li

“…Weighted gene co-expression network analysis (WGCNA) was utilized to search for key module genes. …”
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Depth Mapping in Turbid and Deep Waters Using AVIRIS‐NG Imagery: A Study in Wax Lake Delta, Louisiana, USA by Siyoon Kwon, Paola Passalacqua, Antoine Soloy, Daniel Jensen, Marc Simard

“…Moreover, this model shows a maximum detectable depth of approximately 30 m, outperforming other methods. …”
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