An Innovative Green Dust Suppressant for Dry Climate Mining Areas in a Copper–Nickel Mine: Integration of Moisture Retention and Erosion Resistance by Zijun Li, Zhe Zhou, Yu Xu, Yin Chen

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The mechanism of benzene degradation in groundwater by indigenous microbial degradation from the perspectives of isotopes and microorganisms in cold regions of China by Dongmei Ruan, Jianmin Bian, Juanjuan Wu

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Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

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DEVELOPMENT OF THE STATE SUPPORT FORMS PROJECTS IN INDUSTRIAL BUILDING by I. M. Meilanov, A. M. Esetova

“…In the course of the research the system, subject-functional and structural approaches were implemented to solve the problems set widening the scope of the complex approach to assessment of the current operating mechanism of the state financial support of the projects and financial volume; to criteria stipulation of the most effective projects contest selection: to the search of the investment resources accumulation instrument into industrial building.Results. …”
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A POSSIBLE RELATIONSHIP BETWEEN THE SETS OF QUASI-LINEAR LOCAL TRENDS STATISTICALLY DETECTED IN THE VARIATIONS OF THE MAGNETIC FIELD PARAMETERS BEFORE EARTHQUAKES IN SEISMICLY ACTI... by A. E. Volvach, L. P. Kogan, K. H. Kanonidi, L. I. Nadezhka, I. T. Bubukin, O. V. Boborikina, V. B. Shtenberg, L. N. Volvach, D. T. Biazitov

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Patterns of Variation and Coordination in Shoot Traits Across Four Branching Orders of <i>Larix principis-rupprechtii</i> by Yang Yu, Huayong Zhang, Zhongyu Wang, Zhao Liu

“…Intraspecific variation in functional traits can more accurately quantify plant responses to environmental changes and resource competition, while the plant economic spectrum provides a fundamental framework for understanding trait variation along environmental gradients. …”
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Identification of Proteins and Determination of Metal Contents in Two Kinds of Macrocybe lobayensis by SU Chunyue, LU Yaping, LI Shenman, GAN Zixia, CHEN Guangying, ZHAO Zhendong, HE Wenying

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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…It can be applied in protein homology detection, structure-function inference, drug repurposing, and other downstream biological tasks. …”
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Simulating Self-lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves by Sedighe Sajadian, Niayesh Afshordi

“…The shape of a self-lensing signal is a degenerate function of stellar radius and the compact object’s mass because the self-lensing peak strongly depends on the projected source radius normalized to the Einstein radius. …”
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A Label Correction Learning Framework for Gully Erosion Extraction Using High-Resolution Remote Sensing Images and Noisy Labels by Chunhui Zhao, Yi Shen, Nan Su, Yiming Yan, Shou Feng, Wei Xiang, Yong Liu, Tianhao Zhao

“…To achieve this, we introduce three key components in the framework, including an adaptive correction loss function, a multitree refinement module, and a noise correction module. …”
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Evaluation of the effectiveness of sliding redundancy of radioelectronic facilities by T. E. Gelfman, A. P. Pirkhavka

“…Practical recommendations on the selection of the redundancy mode are presented according to different reliability indices and constructed mathematical models of the sliding redundancy efficiency coefficients. …”
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The State and Prospects of Using Digital HR Tools by Russian Companies by N. V. Lomonosova, E. A. Yakimova

“…A comparative analysis of modern automation systems for personnel selection is presented and an assessment of their technological functionality is carried out. …”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…Rapid acquisition of underwater three-dimensional (3D) sound speed fields is essential for target detection, acoustic communication, and underwater navigation. …”
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The Physiological and Biochemical Mechanisms Bioprimed by Spermosphere Microorganisms on <i>Ormosia henryi</i> Seeds by Meng Ge, Xiaoli Wei, Yongming Fan, Yan Wu, Mei Fan, Xueqing Tian

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Genetic Variation and Assessment of Seven Salt-Tolerance Genes in an <i>Indica</i>/<i>Xian</i> Rice Population by Yuanhang Cheng, Tao Wang, Yeying Wen, Xingfei Zheng, Haifeng Liu, Xiangsong Chen, Ying Diao, Zhongli Hu, Wenjie Feng, Zhaohui Chu

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Characterization of Biocalcium Microparticles from Saltwater Crocodile (<i>Crocodylus porosus</i>) Bone and Their Potential for Enhancing Fish Bologna Quality by Theeraphol Senphan, Natthapong Mungmueang, Supatra Karnjanapratum, Sutee Wangtueai, Akkasit Jongjareonrak, Suthasinee Yarnpakdee

“…Saltwater crocodile (SC; <i>Crocodylus porosus</i>) bone, an underutilized by-product, can be converted into high-value bio-calcium (Biocal), serving as a potential source of calcium and minerals. This study aimed to produce SC bone Biocal as functional gel enhancer for fish bologna development and to increase calcium intake. …”
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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The article highlights the advantages of using automated systems to monitor chicken health under conditions of limited human resources. A software solution has been developed for monitoring chicken health, which enables video uploads from local sources or video services such as YouTube, selection of the communication language, and the LLM model. …”
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Comprehensive Evaluation of Different Oat Varieties in Semi-Arid Areas of Gansu Province by Guanlu Zhang, Jikuan Chai, Guiqin Zhao, Liang Zeng, Wenping Wang, Kuiju Niu

“…In light of the current global challenges, such as climate change, the overexploitation of natural resources, and increasing food demand, drought-tolerant forage crops present substantial potential for development in dryland regions. …”
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Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

“…RL-PASM dynamically allocates spectrum resources across three traffic classes: high-priority (HP), low-priority (LP), and best-effort (BE), utilizing reinforcement learning (RL). …”
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