Study on main controlling factors of CO2 huff-n-puff for enhanced oil recovery and storage in shale oil reservoirs by CHEN Jun, WANG Haimei, CHEN Xi, TANG Yong, TANG Liangrui, SI Rong, WANG Huijun, HUANG Xianzhu, LENG Bing

“…To investigate the mechanisms and key controlling factors of enhanced oil recovery through CO₂ injection in shale oil, this study employed numerical simulation techniques, integrating logging data, geological parameters, and fracturing operation data to model the formation and distribution of hydraulic fractures. …”
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Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering by Qingdu Li, Keting Fu, Jian Liu, Yishan Li, Qinze Ren, Kang Xu, Junxiu Fu, Na Liu, Ye Yuan

“…While deep neural networks demonstrate robust performance in visual tasks, the long-tail distribution of real-world data leads to significant recognition accuracy degradation in critical scenarios such as medical human–robot affective interaction, particularly the misidentification of low-frequency negative emotions (e.g., fear and disgust) that may trigger psychological resistance in patients. …”
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Evaluating the Integration of Technology by Teachers in E-Education in Elementary Schools Based on the International Standards for Technology in Education (ISTE) by Maryam Pourjamshidi

“…All distributed questionnaires were collected after being completed by the teachers, and the collected data were analyzed using t-test and analysis of variance.FindingsResults from the single-group t-test showed that the standard for technology concepts and operations had a mean of 4.21, with a standard deviation of 0.63; technology-based measurement and evaluation had a mean of 3.32, with a standard deviation of 0.50; designing experiences and learning environments had a mean of 6.09 and a standard deviation of 0.53; teaching planning according to effective and multiple learning had a mean of 3.85 and a standard deviation of 0.067; professional performance and productivity had a mean of 3.70 and a standard deviation of 0.46; and human, legal, ethical, and social issues of technology had a mean of 3.32 and a standard deviation of 0.44. …”
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Range–Null Space Decomposition With Frequency-Oriented Mamba for Spectral Superresolution by Meimei Weng, Jianjun Liu, Jinlong Yang, Zebin Wu, Liang Xiao

“…Spectral superresolution (SSR) is a technique aimed at reconstructing hyperspectral images (HSIs) from images with low spectral resolution. Previous methods combining mathematical models with deep learning have shown promising performance for HSI reconstruction. …”
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Petrogenetic evidences in geodynamics and placement of Nordoz intrusive masses in Alborz-Azerbaijan structural zone by Shahryar Mahmoudi, Shiva Lavi, Shohreh Hassanpour, Amir Ali Tabakh Shabani, Mehran Yegane Far

“…This decrease was caused by a reduction in the opening of the Indian Sea, which led to the retreat of the Neotethys subduction slab and subsequent tectonic extension in central Iran (Hassanzadeh et al., 2004). The presented data, in conjunction with the findings of geochemical and isotopic studies, as well as the positioning of the Nordoz region samples within tectonic environment diagrams, permit the formulation of a model for the genesis of these rocks. …”
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Spatial Analysis of the Concentration of Knowledge-Based Firms in Iran by Najmoddin Yazdi, Mahdi Fateh-rad, Jamal Kadkhodapour, Siamak Tahmasbi

“…Thus, we rejected the assumption of randomness in the distribution of these firms and confirmed the presence of clustering, indicating spatial dependence in the data distribution. …”
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ARCHER-a Monte Carlo code for multi-particle radiotherapy through GPU-accelerated simulation and DL-based denoising by Chang Yankui, Wang Xuanhe, Cheng Bo, Wang Yuxin, Li Shijun, Ye Zirui, Pei Xi, Zhao Jingfang, George Xu Xie

“…The training data include a range of dose distributions covering low-count/high-noise (DoseLCHN) and high-count/low-noise (DoseHCLN). …”
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Catabolism of Branched Chain Amino Acids Contributes Significantly to Synthesis of Odd-Chain and Even-Chain Fatty Acids in 3T3-L1 Adipocytes. by Scott B Crown, Nicholas Marze, Maciek R Antoniewicz

“…We measured mass isotopomer distributions of fatty acids and intracellular metabolites by GC-MS and analyzed the data using the isotopomer spectral analysis (ISA) framework. …”
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Use of the TPI and TWI Methods for Identifying Karst Dolines in Purwosari District, Gunungkidul Regency, Indonesia by Astrid Damayanti, Muhammad Fauzan Akmal Hidayat, Riza Putera Syamsuddin, Diko Hary Adhanto

“…The findings are intended to guide spatial planning and environmental mitigation strategies. Data for the study were derived from a digital elevation model (DEM), more scalable and accessible elevation data, to generate the Topographic Position Index (TPI) and Topographic Wetness Index for analysing doline spatial patterns, their terrain shapes, their types (dry or watery), and morphometry. …”
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Stereo bathymetry to monitor small seasonal agriculture water ponds in ungauged areas by V. Vanthof, S. Ferrant, R. Walcker, R. Kelly

“…Small reservoirs represent a critical water supply to farmers across semi-arid regions, but their hydrological modelling suffers from data scarcity and highly variable and localised rainfall intensities. …”
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MA-YOLO: A Pest Target Detection Algorithm with Multi-Scale Fusion and Attention Mechanism by Yongzong Lu, Pengfei Liu, Chong Tan

“…Agricultural pest detection is critical for crop protection and food security, yet existing methods suffer from low computational efficiency and poor generalization due to imbalanced data distribution, minimal inter-class variations among pest categories, and significant intra-class differences. …”
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Spatial and temporal evolution of ecotourism development level and its driving factors under the perspective of sustainable development: the case of Ili river valley. by Pengkai Zhao, Haojie Sun, Jiangling Hu, Xinyu Zhao, Changying Song, Xueting Xu

“…Geographic detectors are utilized to explore the driving factors of ecotourism development. The data indicates that: (1) With a notably diverse spatial structure, the growth rate of ecotourism varies among the counties and cities in the Ili River Valley. (2) The level of comprehensive ecotourism development is continuously improving, with significant gradient differences in spatial distribution, forming a dynamic spatial pattern of 'high in the north and low in the south.' (3) The standard deviation ellipses of each year show a "northwest - southeast" direction, and basically form a stable migration rule from northwest to southeast; (4) The level of tourism income and economic development have a significant impact on the development of ecotourism, and the influence of tourism reception capacity and industrial structure level is gradually enhanced, while the promotion effect of ecological environment level is not significant. …”
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The co-evolution and driving mechanism analysis of ecosystem services value and tourism economic resilience from 286 cities in China by Shuang Zhao, Zhengyong Yu, Wei Liu

“…The key findings are as follows: (1) ESV displayed an inverted “N” trend, declining from southeast to northwest. (2) The spatial distribution of TER showed a persistent pattern of “high in the south, low in the north,” indicating a sustained stage of coordination. (3) The CCD of TER revealed positive spatial clustering, characterized by a distinct “two poles” pattern. (4) Economic and tourism-related factors were the dominant forces enhancing the CCD of TER, while social factors imposed constraints. …”
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Pore Structure and Multifractal Characteristics of the Upper Lianggaoshan Formation in the Northeastern Sichuan Basin, China by Jingjing Guo, Guotao Luo, Haitao Wang, Liehui Zhang

“…This study investigated pore structures of siltstone and shale samples from the Upper LGS Formation using low-pressure CO₂ adsorption (LTCA), low-temperature N₂ adsorption (LTNA), high-pressure mercury intrusion (HPMI), and nuclear magnetic resonance (NMR) methods. …”
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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…The conventional logging data with fracture and non-fracture labels were normalized, and machine learning algorithms were applied for fracture intelligent prediction. …”
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Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements by Sulaiman Khan, Zubair Shah

“…We excluded participants with incomplete data points. To handle class imbalance, we augmented our data using Synthetic Minority Over-sampling Technique (SMOTE) and SMOTEENN (SMOTE with Edited Nearest Neighbors), and to further investigated the association between bones data features and diabetes status, we employed ANOVA analytical method. …”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…Data preprocessing procedures were implemented to ensure the effectiveness and stability of model training. …”
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Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

“…Firstly, the proposed method utilizes a separable low-rank self-representation model to disentangle the class and view structure layers, respectively. …”
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Retrieval of Cloud Ice Water Path from FY-3F MWTS and MWHS by Fuxiang Chen, Hao Hu, Fuzhong Weng, Changjiao Dong, Xiang Fang, Jun Yang

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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Efficient resource allocation and workload distribution are vital to ensuring continuous and reliable service in growing IoT ecosystems with increasing data volumes and changing application demands. …”
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