A Novel Method of Self-Healing Concrete to Improve Durability and Extend the Service Life of Civil Infrastructure by Yan Xue, Weiliang Gao, Yanming Zhao

“…Concrete civil infrastructure often suffers severe damage to its internal structure due to insufficient durability in high and cold complex environments, affecting the service life of the infrastructure. …”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…Using specialized feature selection models we identify descriptors that are highly specific and, conversely, broadly important to predicting the effects of different classes of mutations, interface regions and complexes. …”
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Formation of Orthogonal Components of Input Currents in Microprocessor Protections of Electrical Equipment by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

“…To increase the speed of the selection of orthogonal components of the input currents, it is proposed to form them as equivalent ones in terms of the cosine and sine components obtained using digital Fourier filters by multiplying by the resulting coefficient. …”
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Bilevel Programming Model of Urban Public Transport Network under Fairness Constraints by Jingjing Hao, Xinquan Liu, Xiaojing Shen, Nana Feng

“…The upper layer minimized the travel cost deprivation coefficient and the road area Gini coefficient as the objective function, to solve the optimization scheme of public transport network considering fairness constraints; the lower layer was a stochastic equilibrium traffic assignment model of multimode and multiuser, used to describe the complex selection behavior of different groups for different traffic modes in the bus optimization scheme given by the upper layer. …”
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Study on Roadheader Cutting Load at Different Properties of Coal and Rock by Xueyi Li, Binbing Huang, Guoying Ma, Qingliang Zeng

“…Aimed at the characteristics of coal and rock which affect the cutting load, several simulations with different firmness coefficient were taken repeatedly, and the relationship between three-axis force and firmness coefficient was derived. …”
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Numerical Simulation of a Two-Dimensional Groundwater Pollute Transport Problem Using Incompressible Steady-State Navier-Stokes Equations and Diffusion-Convection Equations by Jacob Nyende, Isaac Enyogoi, John Mango, Henry Kasumba

“…Most of the real contaminant problems are defined domains that are geometrically complex and can have different boundary conditions in different areas. …”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…The research results show the following: (1) compared with other methods, the PCA-based interferometric pair optimization method significantly improves the selection performance. The minimum value decreases to 0.248 rad, while the mean and standard deviation are reduced to 1.589 rad and 0.797 rad, respectively, effectively suppressing error fluctuations and enhancing the stability of the inversion; (2) through comparative analysis of the effective pixel ratio and standard deviation of deformation rates, as well as a comprehensive evaluation of the deformation rate probability density function (PDF) distribution, the PCA optimization method maintains a high effective pixel ratio while enhancing sensitivity to surface deformation changes, indicating its advantage in deformation monitoring in complex terrain areas; (3) the combined analysis of spatial autocorrelation (Moran’s I coefficient) and spatial correlation coefficients (Pearson and Spearman) verified the advantages of the PCA optimization method in maintaining spatial structure and result consistency, supporting its ability to achieve higher accuracy and stability in complex surface deformation monitoring. …”
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Nanoindentation characterization of shale micromechanics and fracturing ability evaluation of reservoir by Lichao CHEN, Diankun ZHANG, Yuhang XIAO, Shengwei WANG, Shuaifeng LYU

“…The brittleness coefficient of crutchy shale is 0.27, which belongs to elastoplastic shale. …”
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Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps by Yuandong Chen, Jinhao Pang, Yuchen Gou, Zhiming Lin, Shaofeng Zheng, Dewang Chen

“…In this study, we aimed to improve the search efficiency and path planning quality of the A* algorithm in complex and large-scale environments through a series of optimisation measures, including the innovation of weight design, flexible adjustment of the search neighbourhood, improvement of the heuristic function, and optimisation of the node selection strategy. …”
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Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms i... by Yue Chen, Weili Kou, Wenna Miao, Xiong Yin, Jiayue Gao, Weiyu Zhuang

“…This study aimed to accurately map burned forest areas and analyze the spatial distribution of forest fires under complex terrain conditions. This study integrates Landsat 8, Sentinel-2, and MODIS data to map burned forest areas in the complex terrain of western Yunnan. …”
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THE STUDY RESULTS OF ADAPTIVE-ECOLOGICAL TRAITS OF THE NEW VARIETIES AND PROMISING LINES OF WINTER SOFT WHEAT IN THE RYAZAN REGION by O. V. Levakova

“…A number of objective reasons for the modern agrarian complex show that it is necessary to orient the most part of the agricultural establishments to a wider introduction of environmentally adaptable varieties. …”
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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
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Genetic analysis of citrus fruit-related traits in the progeny of HB Pomelo × Huagan No.4 hybrids by CHENG Hanyuan, ZHENG Jierong, XU Chenyu, YI Hualin, WU Juxun

“…The soluble solid to acid ratio had the highest coefficient of variation (32.87%) and a heritability of 57.80%, indicating that it is a complex trait with a genetic tendency towards lower values. …”
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Unveiling Performance and Genetic Estimates of Tongil-Type Rice Genotypes for Yield Improvement and Breeding by Barnabas Justo Sitta, Lupakisyo Mwakyusa, William Titus Suvi, Fatma Suleiman Ally, Mbaraka Abbakari Batare, Sophia Kashenge-Killenga, Sang-Bok Lee

“…However, owing to its complex genetic basis, selecting for yield alone is often insufficient. …”
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Deep characteristic learning model for real-time flow monitoring based on H-ADCP by Yu Li, Xin Zhao, Yibo Wang, Ling Zeng

“…This study can serve as a reference for real-time flow monitoring under complex hydrological conditions.…”
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Abiotic and biotic drivers of soil microbial diversity in an intensively grazed natural ecosystem by Daan T. P. Kinsbergen, Annemieke M. Kooijman, Elly Morriën, Katherine English, J. Gerard B. Oostermeijer

“…We therefore used a novel innovative information-theoretic approach to structural equation model selection and multimodel path coefficient averaging to identify these drivers. …”
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Conflict evidence combination rule based on multi-dimensional weighted evidence optimization method and its applications in pattern recognition by Fuhai Xi, Mengli Mei, Shi Yang, Hang Guo, Min Yu

“…First, systematic indicator classification and coefficient of variation analysis are conducted to rigorously select key conflict evaluation metrics. …”
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Evaluation of the APSIM common bean model using different cultivars and water-management scenarios by Seyedreza Amiri, Nader Zakeri, Tayebeh Yousefi

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Double‐Sided Conformable Piezoelectric Force Sensor with Enhanced Performance and Bending Correction by Joseph Faudou, Mohammed Benwadih, Abdelkader Aliane, Christine Revenant, Daniel Grinberg, Minh‐Quyen Le, Pierre‐Jean Cottinet

“…Indeed, conformability on complex surfaces induces bending stresses in the piezoelectric sensors, interfering with the measurement of compressive force. …”
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Research results of local samples of winter garlic in the Republic of Dagestan by N. M. Nimatulaev, V. G. Suzan, N. V. Litvinenko, I. V. Grekhova

“…Sample 2-13-1 also exceeded the average values for the number of bulbs and bulb mass, but it had an average bulbs less than 20 g and a coefficient of variation of 41%. The results of studying the collection of Dagestan origin showed that the samples represented a complex population with high differentiation in bulb mass and inflorescence characteristics, which made it possible to isolate the source material using individual selection. …”
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