Role of emotional disorders, personality features and disorders of intraceptive sensation in development of somatic symptoms at irritable bowel syndrome by Ye. A. Poluektova, A. A. Kurbatova, G. Ye. Rupchev, A. A. Sheptulin, V. T. Ivashkin

“…Number of days of feeling sick for the last year, number of medical encounters for the same time, intensity of abdominal pain according to VAS, frequency of bowel movements per day (number of defecations per day at IBS-D and number of defecations per week at IBS-C) were taken into account in correlation to disease severity and severity of anxiety and depression according to respective scales, to personality features of patients, and also to pattern and volume of individual dictionary for description of internal somatic sensations. …”
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ENSO Teleconnection Pattern Changes over the Southeastern United States under a Climate Change Scenario in CMIP5 Models by Ji-Hyun Oh, D. W. Shin, Steven D. Cocke, Guillermo A. Baigorria

“…In addition, the authors examine whether the teleconnection pattern persists in the future under a global warming scenario. …”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…Afterward, these GSPs are refined via a multi-layer aggregation algorithm that encodes deep feature representations into a Gaussian Mixture Model (GMM) to model the distribution of human gaze patterns. …”
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The Train-Line Pattern on Duplex Ultrasound Helps Differentiate Intramural Thrombus from Atheromatous Plaque in Common Carotid Artery Dissection by Ming-Hsing Chang, Yen-Yu Huang, Fang-I Hsieh, Kuan-Yu Lin, Hsu-Ling Yeh, Kai-Jing Yeh, Li-Ming Lien

“…This distinctive “train-line” pattern was identified in three intimal flaps and two intramural thrombi. …”
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Bioinformatics and experimental approach identify DNMT3A as a diagnostic marker associated with regulated cell death patterns in psoriasis by Linyu Zhu, Zhiyu Ye, Ling Wang, Shaomin Chen, Menger Guo, Lvya Zhang, Yuansheng Wu

“…Furthermore, Mendelian randomization screening revealed five genes (CDH6, MTHFR, DNMT3A, SETD1A, and RGS14) as feature genes for psoriasis, and validated in psoriasis patients. …”
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Exploring Floristic Diversity, Propagation Patterns, and Plant Functions in Domestic Gardens across Urban Planning Gradient in Lubumbashi, DR Congo by Yannick Useni Sikuzani, Bernard Kisangani Kalonda, Médard Mpanda Mukenza, Jonas Yona Mleci, Alex Mpibwe Kalenga, François Malaisse, Jan Bogaert

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DNA methylation valley as a distinguishing feature occurs in root-specific expressed nicotine-related genes in Nicotiana attenuata by Ahui Tong, Ahui Tong, Bingwu Wang, Jinsong Wu

“…It remains unknown whether DNA methylation pattern of nicotine-related genes differs in root and leaf tissues. …”
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The optimized Maxent model reveals the pattern of distribution and changes in the suitable cultivation areas for Reaumuria songarica being driven by climate change by Xinyou Wang, Zhengsheng Li, Lijun Zhang, Yanlong Wang, Ying Liu, Yushou Ma

“…Results show that setting parameters to RM (regulation multiplier) = 4 and FC (feature combination) = LQHPT yields a model with good accuracy and high reliability. …”
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Improving crop rotation classification using a random forest model incorporating spatial heterogeneity by Xiaomi Wang, Qi Tang, Kang Yang

“…Crop growth conditions generally exhibit a strong spatial heterogeneity pattern, resulting in crop growth characteristics varying with locations, limiting the classification accuracy of crop rotation. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

“…Spatially, this disconnect can be categorized into three distinct types: the "polarized" pattern in the central city, the "experience enhancement" pattern in the Huadu, Panyu, Baiyun, and Conghua Districts, and the "insufficient supply" pattern in the Zengcheng, Huangpu, and Nansha Districts. …”
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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…A linear transformation layer post embedding improves feature representation, aligning and standardising features across sequences for improved pattern recognition. …”
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Rolling Bearing Degradation Identification Method Based on Improved Monopulse Feature Extraction and 1D Dilated Residual Convolutional Neural Network by Chang Liu, Haiyang Wu, Gang Cheng, Hui Zhou, Yusong Pang

“…Finally, the degradation state identification performance across different network architectures is compared in pattern recognition experiments. The results show that the proposed improved feature extraction method significantly reduces the iterative calibration computational burden while effectively extracting local fault degradation information and overcoming complex working condition influence. …”
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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…Firstly, the endoscopic images undergo preprocessing before being subjected to feature extraction. This step involves image resizing along with the augmentation step. …”
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Agricultural Mutual Insurance in Asia, Latin America, and the Caribbean: An Integrative Review of the Micro-Level Schemes by Rival Valcin, Tomohiro Uchiyama, Rika Terano, Dario S. Celestin, Bénédique Paul

“…It is unique in providing a pattern based on successful models and highlighting what countries facing similar natural disaster exposures can learn from each other to enhance resilience and adaptation to climate risks.…”
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An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition by Shixin Huo, Na Duan, Zhizheng Xu

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Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning by Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii

“…Using pre-trained CNNs allows us to extract rich feature representations without the need for large, specialized training datasets, effectively capturing intricate patterns in the microstructures. …”
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Optimized Demand Forecasting for Bike-Sharing Stations Through Multi-Method Fusion and Gated Graph Convolutional Neural Networks by Hebin Guo, Kexin Li, Yutong Rou

“…A detailed analysis of the temporal, spatial, and user-related factors is conducted to examine how these features interact and shape demand patterns in the bike-sharing network. …”
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High-performance glass classification using advanced machine learning and deep learning algorithms with a comprehensive feature analysis by Mohammed Bouziane, Abdelghani Bouziane, Samia Larguech, Khatir Naima, Mohammad Salman Haque, Younes Menni

“…Findings prove RF and XGBoost to provide the highest classification accuracy, and BiLSTM to be the best in recognizing complex data patterns. Feature importance analysis pinpoints significant features and identifies magnesium and barium among those used to distinguish between glass types. …”
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An object-based spectral and elevation feature fusion framework for landslide mapping using time-series Landsat-8 imagery by Tsung-Han Wen, Tee-Ann Teo

“…The methodology employs multiresolution segmentation with a fusion of spectral and topographic features, enabling the model to capture complex patterns and improve segmentation quality. …”
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