Modeling the performance indicators of geotechnological blocks and the movement of the discovered reserves of an underground borehole leaching of uranium by D. R. Podrezov

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Expression characteristics and functional identification of PpD2 gene in peach (Prunus persica) by XIE Hefang, ZHANG Yajia, ZHANG Junjie, LIAN Xiaodong, ZHANG Haipeng, CHENG Jun, WANG Wei, HOU Nan, WANG Lei, ZHENG Xianbo, FENG Jiancan, WANG Xiaobei, TAN Bin

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A Trade‐Off Between Leaf Carbon Economics and Plant Size Among Mangrove Species in Dongzhaigang, China by Dalong Jiang, Tao Nie, Qiuyu He, Jing Yan, Erhui Feng, Qing Ye

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SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC by Andrii Kopp, Ľuboš Cibák, Dmytro Orlovskyi, Dmytro Kudii

“…This features are evaluated using “soft” modeling rules based on fuzzy membership functions. Additionally, an activation function with the 0.5 threshold is used to generate binary quality indicators and calculate an integral quality assessment measure. …”
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Fluorescent carbon quantum dots from Syzygium aromaticum as a selective sensor for Fe3+ and Cd2+ detection in aqueous solution by Said Ali Akbar, Muhammad Hasan, Muhammad Nazar, Ilham Zulfahmi, Edy Miswar, Muhammad Iqhrammullah, Zulkarnain Jalil

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Diversity and Abundance of Breeding Birds, Habitat, and Nesting Substrate Selection in Urban Areas: A Relevant Case from the Southern Slope of the Mediterranean by Ikram Douini, Wafae Squalli, Ismail Mansouri, Mohamed Mounir, El-Mostafa Benka, Mohamed Dakki, Soumaya Hammada

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Coupling Enteromorpha prolifera-derived N-doped biochar with Cu-Mo2C clusters for selective CO2 hydrogenation to CO by Xueyuan Pan, Caikang Wang, Bei Li, Mingzhe Ma, Hao Sun, Guowu Zhan, Kui Wang, Mengmeng Fan, Linfei Ding, Gengtao Fu, Kang Sun, Jianchun Jiang

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A High‐Quality Reference Genome and Comparative Genomics of the Widely Farmed Banded Cricket (Gryllodes sigillatus) Identifies Selective Breeding Targets by Shangzhe Zhang, Kristin R. Duffield, Bert Foquet, Jose L. Ramirez, Ben M. Sadd, Scott K. Sakaluk, John Hunt, Nathan W. Bailey

“…The high‐quality G. sigillatus genome assembly plus accompanying comparative genomic analyses serve as foundational resources for both applied and basic research on insect farming and behavioural biology, enabling researchers to pinpoint trait‐associated genetic variants, unravel functional pathways governing those phenotypes, and accelerate selective breeding efforts to increase the efficacy of large‐scale insect farming operations.…”
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SITE CHARACTERISTICS AND VEGETATION DRIVE THE ABUNDANCE AND DIVERSITY OF ARBUSCULAR MYCORRHIZA FUNGI IN SELECTED LAND DEGRADATION SURVEILLANCE FRAMEWORK STUDY SITES IN KENYA by Lukelysia Nyawira Mwangi, S. Kamau, G. Cheruto, T. Vågen, D. Lelei, L. Winowiecki

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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements by Bo Wang, Gang Wang, Yonglin Li, Rennong Yang, Yu Zhao

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Unveiling the placental bacterial microbiota: implications for maternal and infant health by Zhuojun Xie, Zhongsheng Chen, Yang Chai, Wang Yao, Guangyu Ma

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Design of a Non-Destructive Seed Counting Instrument for Rapeseed Pods Based on Transmission Imaging by Shengyong Xu, Rongsheng Xu, Pan Ma, Zhenhao Huang, Shaodong Wang, Zhe Yang, Qingxi Liao

“…Human–machine interaction software based on PyQt5 was developed, integrating functions such as communication between upper and lower machines, image acquisition, storage, and processing. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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The <i>f3’5’h (d)</i> gene for pink coloring of flax flowers is a member of the CYP75 family within the CYP450 gene class: from class function to gene function by A. A. Slobodkina, A. V. Pavlov, E. A. Porokhovinova

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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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Function over form: The benefits of aspen as surrogate brood‐rearing habitat for greater sage‐grouse by Michel T. Kohl, Charles P. Sandford, Paul C. Rogers, Renee Chi, Terry A. Messmer, David K. Dahlgren

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A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied to vehicle detection in the fields of road, marine, and aviation transportation. …”
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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

“…The result shows higher accuracy of 91.8 % for the vulnerability detection and model explainability outcome is highly influenced by “vulnerable”, “function”, ''mysql_tmpdir_list'', “strmov” tokens using both SHAP and LIME framework. …”
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