Theoretical Study and Application of Rate Transient Analysis on Complex Fractured-Caved Carbonate Reservoirs by Qingyan Yu, Qi Wang, Pengcheng Liu, Jing Zhang, Qi Zhang, Xiaojuan Deng, Kai Feng

“…The fracture features are observed either as a single large fractures or as a local fracture network. The characteristics of fluid flow in fracture-caved reservoirs vary as a result of the different combinations of fractures and caves. …”
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Correlations and functional connections in a population of grid cells. by Benjamin Dunn, Maria Mørreaunet, Yasser Roudi

“…Taken together, our results suggest that grid cells in the same module do indeed form a local network of interconnected neurons with a functional connectivity that supports a role for attractor dynamics in the generation of grid pattern.…”
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Research on the Layout of Courtyard Space in Underground Commercial Streets by Yu He, Xiaowei Chen, Meixuan Tian, Chi Zhang, Jing Kang

“…This research investigates the rationality of atrium spatial distribution in underground pedestrian streets, with particular emphasis on developing an evaluation framework for assessing atrium layout appropriateness, using pedestrian congregation patterns shaped by spatial network morphology as the primary evaluation criterion. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…Methods In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the GSE30122, GSE30528, and GSE96804  datasets, followed by an evaluation of the immune landscape in DN. …”
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Cancer Stem Cell Signaling during Repopulation in Head and Neck Cancer by George D. Wilson, Bryan J. Thibodeau, Laura E. Fortier, Barbara L. Pruetz, Sandra Galoforo, Brian Marples, Andrew M. Baschnagel, Jan Akervall, Jiayi Huang

“…A clear pattern emerged that was consistent with the growth inhibition data in that genes associated with stem cell pathways were most active at day 7 and day 12 after irradiation. …”
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Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…The study also systematically identified the essential and pattern characteristics of the dust time series data and utilized the variational mode decomposition (VMD) with Golden Jackal Optimization (GJO) to decompose the original dust concentration data. …”
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Unpacking Performance Variability in Deep Reinforcement Learning: The Role of Observation Space Divergence by Sooyoung Jang, Ahyun Lee

“…This pattern persisted even when agents started with identical network weights. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…To identify the irregularities in the cardiac data pattern, a gated recurrent unit (GRU) classifier and a one-dimensional convolutional neural network (1D-CNN) are introduced. …”
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Handwritten Geez Digit Recognition Using Deep Learning by Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran

“…Convolutional neural network (CNN) is preferable for pattern recognition like in handwritten document recognition by extracting a feature from different styles of writing. …”
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Intelligent Classifier for Identifying and Managing Sheep and Goat Faces Using Deep Learning by Chandra Shekhar Yadav, Antonio Augusto Teixeira Peixoto, Luis Alberto Linhares Rufino, Aedo Braga Silveira, Auzuir Ripardo de Alexandria

“…The aim of this work is to automatically identify individual sheep or goats based on their physical characteristics including muzzle pattern, coat pattern, or ear pattern. The proposed intelligent classifier was built on the Roboflow platform using the YOLOv8 model, trained with 35,204 images. …”
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Coexistence of CN1A autoantibodies in GAD65 encephalitis exacerbates neurodegeneration by Annika Breuer, Delara Kamalizade, Tobias Baumgartner, Juliane L. Berns, Thoralf Opitz, Franziska S. Thaler, Susanne Schoch, Lars Komorowski, Christoph Helmstaedter, Rainer Surges, Albert J. Becker, Julika Pitsch

“…Conclusion GAD65 antibodies directly affect neuronal viability and network activity. Co-existing autoantibodies against CN1A, present in anti-GAD65-positive patients, enhance autophagy and subsequent neuronal death in vitro. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…The system demonstrated a motion pattern recognition accuracy exceeding 95% and a response time consistently below 250 ms under various network conditions. …”
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Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions by Phanupong Tempiem, Rardchawadee Silapunt

“…Its ability to finely adjust the weight factor (<i>w</i>) or the probability of success in allocating SFs enables the optimization of spreading factor (SF) allocation, thereby achieving the optimal Data Extraction Rate (DER). To evaluate the algorithm’s performance, simulations were conducted using the fixed node pattern derived from actual dairy farm locations in Ratchaburi province, Thailand. …”
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Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples by Zhenshi Zhang, Qiujun Li, Wenxuan Jing, Guangjun He, Lili Zhu, Shijuan Gao

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Mapping and assessing the multifunctional demand for agricultural land based on the “P-E-F” framework: A case study of Hangzhou City, China by Qian Yu, Shan He, Chenxia Hu, Shixue You, Lin Lin, Yue Su, Congmou Zhu, Chenhe Zhou

“…However, the methodology for quantifying MAL demand is still exploratory and lacks a comprehensive evaluation system. This study thus proposed the “P-E-F” framework by integrating multi-source datasets (e.g., social network and remote sensing) in Hangzhou, China. …”
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Characteristics of pore-fracture structure and three-dimensional spatial distribution differences in deep and shallow coal reservoirs: A case study of Junggar Basin by WANG Pengxiang, ZHANG Zhou, YU Wanying, ZOU Qiang, YANG Zhengtao

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Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach by Umut Erman, Türker Tuncer, Nura Abdullahi, Sengul Dogan, Erhan Akbal

“…The final step of our model involves classification, wherein we employed a range of classifiers, including decision trees, linear discriminant analysis, quadratic discriminant analysis, Naive Bayes, support vector machines, k-nearest neighbor, bagged trees, and artificial neural networks. We subjected the results to a comprehensive evaluation, and all classifiers achieved classification accuracies exceeding 80%. …”
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Spatio-Temporal Evolution, Factors, and Enhancement Paths of Ecological Civilization Construction Effectiveness: Empirical Evidence Based on 48 Cities in the Yellow River Basin of... by Haifa Jia, Pengyu Liang, Xiang Chen, Jianxun Zhang, Wanmei Zhao, Shaowen Ma

“…This study employs the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Back-Propagation (BP) neural network methods to evaluate the level of ecological civilization construction in the Yellow River Basin from 2010 to 2022, to analyze its indicator weights, and to explore the spatio-temporal evolution characteristics of each city. …”
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An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine by Xinman Zhang, Qi Xiong, Yixuan Dai, Xuebin Xu, Guokun Song

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A spatio-temporal node-place-ridership model for classifying metro station areas: The case of Shenzhen, China by Dejiang Wang, Jiangyue Wu, Zhuolin Tao

“…Using a case study in Shenzhen, China, results show that ridership is more associated with the place values (i.e., land-use pattern) than with the node values (i.e., network accessibility). …”
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