Feasibility and Mechanical Strength Evaluation of New Customized Implants for Tibial Plateau Fractures Fixation by Meng Li, Mengmeng Hu, Xiaomeng Ren, Yi Gao, Longbo Du, Yu Jiang, Wei Zhang

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Indirect Determination of Basic Tomato Quality Parameters Using Color Digital Images by Tsvetelina Georgieva, Petya Veleva, Stefka Atanassova, Plamen Daskalov

“…The results of the correlation analysis showed that there were the following relationships between the color components and the chemical indicators: the dry substance had a moderate dependence with R(RGB), S(HSV), and b(Lab) and a significant dependence with H(HSV) and a(Lab); the ascorbic acid substance had a moderate dependence with H(HSV), S(HSV), and a(Lab); the titratable organic acids had a moderate dependence with S(HSV) and b(Lab); a significant dependence was found with R(RGB), and a strong dependence was found with V(HSV), L(Lab), a(Lab), X(XYZ), and Y(XYZ); the general dyes had a significant dependence with H(HSV), S(HSV), and a(Lab); the lycopene had a significant dependence with H(HSV), S(HSV),a and a(Lab); the beta-carotene had a significant dependence with R(RGB), G(RGB), B(RGB), V(HSV), L(Lab), X(XYZ), Y(XYZ), and Z(XYZ). …”
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A comprehensive assessment of gold leaching wastewater through pollution and water quality indices. Case study: Small scale extraction facilities in the department of Caldas—Colomb... by Guillermo H. Gaviria, Miguel-Ángel Gómez-García, Izabela Dobrosz-Gómez

“…Sampling was conducted for 14 months in small-scale gold mining facilities in the department of Caldas, Colombia. 23 physicochemical parameters were selected based on environmental regulations, standards of use for agricultural purposes and WHO recommendations. They covered general characteristics of effluents and critical inputs of the leaching process. 15 (pH, COD, TSS, CN−, Cl−, SO42−, S2−, Cd, Zn, Cu, Cr, Fe, Ni, Ag, and Pb) of them exceeded permissible limits. …”
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CONTEXTUAL APPROACH TO LITERARY CRITICISM: DOSTOEVSKY AND PSYCHOANALYSIS by V. G. Kalashnikov

“…The aim of this article is to demonstrate the possibilities of application of the contextual approach, developed in pedagogy and psychology, in the process of literary analysis. Initially contextual approach was developed by A. …”
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Construction of epilepsy diagnosis model based on cell senescence-related genes and its potential mechanism by Xiangyao Gong, Xiangyao Gong, Wei Lu, Qihua Xiao, Qihua Xiao, Xiaopeng Wang, Xiaopeng Wang, Chenchen Cui, Chenchen Cui, Hai Tang, Hai Tang

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Temporal-Spatial Evolution Characteristics and Dynamic Mechanisms of Regional Cooperation Network in the Yangtze River Delta by Cao Xianzhong, Fan Zhiqian

“…First, the regional cooperation network in the Yangtze River Delta is relatively close in general and has undergone a remarkable evolution process from loose to tight, from single center to multi-center, and from inefficient to efficient. …”
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Akebia quinata flower is an excellent potential herbal tea: Chemical quality, bioactivity analysis and metabolite profiles of Akebia quinata flower with different drying methods by Tianjiao Jia, Mian Faisal Nazir, Tao Zhang, Qiuping Zhu, Jie Xu, Longyu Dai, Yafang Zhao, Shuaiyu Zou

“…Metabolomic analysis identified 3,902 metabolites, with amino acids, lipids and organic acids being most affected by the drying processes. …”
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PITX1 as a grading, prognostic and tumor-infiltrating immune cells marker for chondrosarcoma: a public database-based immunoassay and tissue sample analysis by Zikun Huang, Zikun Huang, Dongchen Liu, Dongchen Liu, Dongchen Liu, Ying Zhang, Ying Zhang, Weiqing Lu, Weiqing Lu, Lan Hu, Lan Hu, Jinghao Zhang, Jinghao Zhang, Lei Xie, Lei Xie, Shubiao Chen, Shubiao Chen, Shubiao Chen

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Preliminary Analysis of a Novel Spaceborne Pseudo Tripe-Frequency Radar Observations on Cloud and Precipitation: EarthCARE CPR-GPM DPR Coincidence Dataset by Zhen Li, Shurui Ge, Xiong Hu, Weihua Ai, Jiajia Tang, Junqi Qiao, Shensen Hu, Xianbin Zhao, Haihan Wu

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Exploring Optimisation Strategies Under Jump-Diffusion Dynamics by Luca Di Persio, Nicola Fraccarolo

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Temporal trends in the planetary health diet index and its association with cardiovascular, kidney, and metabolic diseases: A comprehensive analysis from global and individual pers... by Haoxian Tang, Xuan Zhang, Nan Luo, Jingtao Huang, Qinglong Yang, Hanyuan Lin, Mengyue Lin, Shiwan Wu, Jiasheng Wen, Jianan Hong, Pan Chen, Liwen Jiang, Yequn Chen, Xuerui Tan

“…Globally, consumption of red/processed meat, saturated oils/trans fats, and added sugars substantially exceeded the EAT-Lancet Commission’s reference values. …”
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Managerial elites and electorate of southern Russia in connection with the 2024 presidential elections: external and internal factors of stabilization and destabilization by V. S. Semenov

“…An analysis of the impact of management measures on the economic situation in the southern region allowed us to draw conclusions about the reasons for the overall economic growth of the country, which was manifested in the growth of wages while maintaining prices for most goods, low unemployment, a general decrease in the poverty level and, ultimately, determined the election results. …”
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Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…Objective: to analyze the current technological and legal theories in order to define the content of the transparency principle of the artificial intelligence functioning from the viewpoint of legal regulation, choice of applicable means of legal regulation, and establishing objective limits to legal intervention into the technological sphere through regulatory impact.Methods: the methodological basis of the research is the set of general scientific (analysis, synthesis, induction, deduction) and specific legal (historical-legal, formal-legal, comparative-legal) methods of scientific cognition.Results: the author critically analyzed the norms and proposals for normative formalization of the artificial intelligence transparency principle from the viewpoint of impossibility to obtain the full technological transparency of artificial intelligence. …”
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Thymosin alpha 1 alleviates inflammation and prevents infection in patients with severe acute pancreatitis through immune regulation: a systematic review and meta-analysis by Yong Tian, Jiaqi Yao, Yihan Ma, Pengcheng Zhang, Xiaofang Zhou, Wenjie Xie, Wenfu Tang, Wenfu Tang

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The significance of folklore works for the social development of younger adolescents in the activities of a social pedagogue by I. S. Grishina

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S. cerevisiae ERG5DeltaNTH1DeltaAMS1Delta construction enhancing stress tolerance for ethanol production increase in the presence of inhibitors and mechanism analysis based on the... by Peizhou Yang, Zhuanzhuan Lin, Jianchao Chen, Shuying Jiang, Zhi Zheng, Kanglin Wang

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Immunological parameters of maternal peripheral blood as predictors of future pregnancy outcomes in patients with unexplained recurrent pregnancy loss by Yingrong Li, Irene X. Y. Wu, Xuan Wang, Jinlu Song, Quan Chen, Weiru Zhang

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A novel approach towards the robustness of centrality measures in networks by Jens Dörpinghaus, Vera Weil, Robert Rockenfeller, Meetkumar Pravinbhai Mangroliya

“…Centrality measures were first introduced in the Social Network Analysis (SNA), which is widely used in the humanities and social sciences. …”
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Data-Driven Strategic Approaches to Road Safety Management: Truth and Lies of Official Statistics by Artur I. Petrov

“…A comparison of such countries was chosen to illustrate the real problem of the low credibility of official statistical information available for analysis. Unfortunately, the low quality of statistical information does not allow for drawing accurate conclusions about the actual situation in Russia and African countries, and hence, competently and rationally managing socio-economic processes. …”
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Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…However, conventional machine learning methods for microseismic signal analysis exhibited limited feature extraction capabilities and were highly susceptible to noise, leading to reduced classification accuracy and poor generalization performance. …”
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