Grading characterization and yield stress prediction based on paste stability coefficient by CHENG Hai-yong, WU Shun-chuan, WU Ai-xiang, CHENG Wei-hua

“…Due to the different properties of the materials in different mines, it is difficult to analyze the factors that influence yield stress. …”
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Research on the evolution characteristics of creep energy in rubber concrete and the damage constitutive model by Xiaodie Liu, Lei Cui, Zhixi Liu

“…The findings reveal that: (1) The elastic strain energy density (u e) of concrete with varying rubber replacement ratios demonstrates a linear decline over extended creep time, characterized by linear attenuation. (2) Based on the results of uniaxial creep-unloading tests, this study proposes a method for calculating creep energy in concrete based on the linear attenuation characteristics of u e. (3) The dissipated strain energy density (u d) and input strain energy density (u) of concrete with different rubber replacement ratios increase over time, and this growth can be divided into the decay growth stage, uniform growth stage, and accelerated growth stage. (4) During the creep process, as the creep time increases, the proportion of u d to u in concrete with different rubber replacement ratios gradually increases, reaching its maximum at the critical point of accelerated creep and post-peak, and the higher the rubber replacement ratio of the concrete, the smaller the proportion of u d to u at the critical point of accelerated creep and post-peak. (5) This research develops a viscoelastic-plastic-damage coupled constitutive model founded on energy dissipation, adept at delineating the deformation curves of concrete of varying rubber replacement ratios during creep. …”
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YOLOv8-CBSE: An Enhanced Computer Vision Model for Detecting the Maturity of Chili Pepper in the Natural Environment by Yane Ma, Shujuan Zhang

“…In order to accurately detect the maturity of chili peppers under different lighting and natural environmental scenarios, in this study, we propose a lightweight maturity detection model, YOLOv8-CBSE, based on YOLOv8n. …”
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A study on the interaction between Verticillium dahliae strains and cotton varieties by WU Yuan-qi, GONG Le-chun, ZHOU Zhao-hua, FANG Wei-ping, HU Bing-min

“…In studying the interaction between the strains and cotton varieties, the disease indices of 23 different resistant or susceptible varieties inoculated with 18 isolates of Verticillium dahliae were analyzed by ANOVA, generalized linear model (GLM), additive main effects and multiplicative interaction (AMMI) model, and data transformation. …”
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Causes of the Outer Spiral Rainbands in Typhoon Yagi （ 2018） in Shandong Province of China by Chunyan SHENG, Sudan FAN, Qiaona QU, Shijun LIU, Wengang ZHU

“…What are the differences between outer spiral rainbands？ These issues deserve further studies.…”
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Real-Time Prediction of the Dynamic Spatial Configuration of Umbilical Cables Based on Monitoring Data During Deep-Sea In-Situ Mining by Chaojun Huang, Shuqing Wang, Jiancheng Liu, Lei Li, Wencheng Liu, Lin Huang, Zhihao Yu, Wen Shen, Yuankun Sun, Yu Liu, Yuanyuan Liu

“…At first, the environmental information, position and motion of the vessel–umbilical cable–mining system were collected by sensors arranged at different locations. Then, the data were converted and transformed to the local vessel coordinate system. …”
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Exact Longitudinal Vibration Characteristics of Rods with Variable Cross-Sections by Bulent Yardimoglu, Levent Aydin

“…Longitudinal natural vibration frequencies of rods (or bars) with variable cross-sections are obtained from the exact solutions of differential equation of motion based on transformation method. For the rods having cross-section variations as power of the sinusoidal functions of ax+b, the differential equation is reduced to associated Legendre equation by using the appropriate transformations. …”
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由TIMSS 2019電腦化測驗檢視 臺灣學生表現之模式效應及數位落差現象 The Mode Effects and Digital Divide Among Taiwanese Students Based on the TIMSS 2019 Computer-Based Testing... by 陳冠銘 Kuan-Ming Chen, 許添明 Tian-Ming Sheu, 任宗浩 Tsung-Hau Jen

“…In the digital age, the transition to CBT is inevitable as technology continues to transform education and assessment practices. The integration of digital tools in learning environments makes the adoption of CBT essential for aligning with modern educational needs while offering more interactive and efficient assessment methods. …”
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Screening of Cellulase Producing Strains and Study on Their Enzymatic Properties by Shili WU, Yingying XIE, Xuening DUAN, Manshi YE, Weiqi XU, Guidong HUANG, Xianfeng ZHONG, Hong REN

“…The cellulase-producing strains were screened by plate screening using Congo red staining method and enzyme activity screening using 3,5-dinitrosalicylic acid method, and the cellulase-producing strains were subjected to colony morphological observation, physiological and biochemical characteristics and molecular biology identification, to investigate the enzyme production of the strains under different stress conditions, as well as the enzymatic properties of the cellulase produced by the strains. …”
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Methodology сomparative statistical analysis of Russian industry based on cluster analysis by Sergey S. Shishulin

“…As the research tool used as the simplest methods of transformation, graphical and tabular visualization of data, and methods of statistical analysis. …”
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THE HERMENEUTICS OF THE ANCIENT MYTH IN THE VALUATION OF CULTURAL DIMENSIONS by FONARI, VICTORIA

“…However, the essential force is the artist’s individuality in which both immediately recognizable aspects and hidden elements shine through and are layered. The hermeneutic method of the myth presents the route of the actualization of the ancient myth involved in different arts.…”
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Efficacy and safety of evogliptin versus sitagliptin as add on to metformin alone in a combined russian-korean population. Evo-combi trial by Alina Y. Babenko, Anna A. Mosikian, Igor E. Makarenko, Victoriya V. Leusheva, Evgeny V. Shlyakhto

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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…This improvement also effectively reduced the rates of false positives and false negatives, resulting in more stable and reliable performance in rice disease detection tasks.ConclusionsThe rice leaf disease image generation method based on the improved CycleGAN model, as proposed in this study, effectively transforms images of healthy leaves into those depicting disease symptoms. …”
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Research on Block between Subway Line Adjacent Interlocking Stations Based on Network Communication by Datao ZHANG

“…In order to ensure the traffic safety between subway line adjacent stations, a blocking method based on network communication was proposed. …”
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Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches by Cvetkovski Goga, Petkovska Lidija

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Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle by Joko Hariyono, Van-Dung Hoang, Kang-Hyun Jo

“…The regions of moving object are detected as transformed objects, which are different from the previously registered background. …”
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New Perspective on the Conventional Solutions of the Nonlinear Time-Fractional Partial Differential Equations by Hijaz Ahmad, Ali Akgül, Tufail A. Khan, Predrag S. Stanimirović, Yu-Ming Chu

“…In addition, numerical results for different cases of the fractional-order α are presented graphically, which show the effectiveness of the proposed procedure and revealed that the proposed scheme is very effective, suitable for fractional PDEs, and may be viewed as a generalization of the existing methods for solving integer and noninteger order differential equations.…”
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Gene Expression Music Algorithm-Based Characterization of the Ewing Sarcoma Stem Cell Signature by Martin Sebastian Staege

“…Gene Expression Music Algorithm (GEMusicA) is a method for the transformation of DNA microarray data into melodies that can be used for the characterization of differentially expressed genes. …”
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HyperspectralMamba: A Novel State Space Model Architecture for Hyperspectral Image Classification by Jianshang Liao, Liguo Wang

“…Experimental results on three benchmark datasets—Indian Pines, Pavia University, and Salinas Valley—demonstrate that the proposed method achieves overall accuracies of 95.31%, 98.60%, and 96.40%, respectively, significantly outperforming existing convolutional neural networks, attention-enhanced networks, and Transformer methods. …”
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Cross-ViT based benign and malignant classification of pulmonary nodules. by Qinfang Zhu, Liangyan Fei

“…To solve this problem, a Cross fusion attention ViT (Cross-ViT) network that fuses local features extracted by CNN and global features extracted by Transformer is proposed. The network first extracts different features independently through two branches and then performs feature fusion through the Cross fusion attention module. …”
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