Potential Genetic Markers Associated with Environmental Adaptability in Herbivorous Livestock by Xiaotong Liu, Yongdong Peng, Xinhao Zhang, Wenting Chen, Yinghui Chen, Lin Wei, Qifei Zhu, Muhammad Zahoor Khan, Changfa Wang

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A Biologically Inspired Program-Level Imitation Approach for Robots by Pourya Aliasghari, Moojan Ghafurian, Chrystopher L. Nehaniv, Kerstin Dautenhahn

“…We propose a novel, biologically inspired imitation approach to enable robots to understand and perform complex actions using high-level programs that incorporate sequential regularities between sub-goals a robot can recognize and physically achieve. …”
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Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture by Zhu-xing Ma, Li-shuo Zhang, Hao Gu, Zi-zhong Xin, Zhe Kang, Zhao-lei Wang

“…In view of the low efficiency of the traditional manual evaluation method of substation equipment status under the background of complex environment, a panoramic evaluation method of substation equipment health status based on multisource monitoring and deep convolution neural network under edge computing architecture is proposed. …”
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Identifying NPP operator stressors using grounded theory by Ye Wang, Xiliang Tao, Wenqiang Peng, Zhaopeng Liu, Pengcheng Li

“…Abstract Nuclear power plant (NPP) operators manage crucial decision-making and operational tasks in precarious and complex environments, where psychological stress directly correlates with system safety and operational efficiency. …”
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Solving the Economic Load Dispatch Problem by Attaining and Refining Knowledge-Based Optimization by Pravesh Kumar, Musrrat Ali

“…The examination of the numerical and statistical results confirms the remarkable efficiency and potential practical ability of ARKO in complex optimization tasks.…”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. …”
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IEAM: Integrating Edge Enhancement and Attention Mechanism with Multi-Path Complementary Features for Salient Object Detection in Remote Sensing Images by Fubin Zhang, Zichi Zhang

“…However, most SOD methods prioritize detection accuracy at the cost of memory. Complex backgrounds, occlusions, and noise distort segmented target boundaries, while large memory demands increase computational cost, and reduced memory impairs segmentation accuracy. …”
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A New Single-Parameter Bees Algorithm by Hamid Furkan Suluova, Duc Truong Pham

“…These parameters must be chosen with due care, as their values can impact the algorithm’s performance, particularly when the problem is complex. However, determining the optimum values for those parameters can be time-consuming for users who are not familiar with the algorithm. …”
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Cascading Reliability Assessment of International Railway Freight Network Based on Coupled Map Lattices: A Case Study of China Railway Express by Si Chen, Xinyi Chi, Qian Zhang, Yinying Tang, Zhen Liu, Wenkai Tan

“…Next, we select three indicators to evaluate the reliability characteristics of the network and evaluate the robustness of the network with the maximum effective graph and the network efficiency. …”
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Generating diversity and securing completeness in algorithmic retrosynthesis by Florian Mrugalla, Christopher Franz, Yannic Alber, Georg Mogk, Martín Villalba, Thomas Mrziglod, Kevin Schewior

“…In order to generate a diverse set of synthesis plans for chemists to select from, we capture the concept of diversity in a novel chemical diversity score (CDS). …”
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Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems by Lei Shi, Zongyu Zhang, Yongrui Yu, Chun Xie, Tongbin Yang

“…Therefore, controlling MPPT under partial shading conditions is a complex task. OBJECTIVES: This study aims to introduce a novel MMPT algorithm based on the ant colony incorporated bald eagle search optimization (AC-BESO) method to enhance the efficiency of PV systems. …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…Although existing AD risk prediction tools demonstrate high accuracy, their complexity and limited accessibility restrict practical application. …”
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Investigation of the pathogenic potential and the possibility of cross-species transmission of H5 avian influenza viruses detected on the territory of the Russian Federation in 201... by Nikolay G. Zinyakov, Alena D. Grekhneva, Artem V. Andriyasov, Evgeniya V. Ovchinnikova, Nelli A. Guseva, Anton A. Kozlov, Zoya B. Nikonova, Pavel D. Zhestkov, Dmitry B. Andreychuk, Ilya A. Chvala

“…The rapid evolution of highly pathogenic avian influenza (HPAI) viruses through antigenic drift and reassortment can lead to enhanced replication efficiency and cross-species transmission to mammals, as evidenced by recent outbreaks in various animal populations. …”
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Dosimetric study of TrueBeam single-isocenter vs. Halcyon dual-isocenter VMAT radiotherapy plans for postoperative left-sided breast cancer by Chaojun Chai, Kainan Shao, Guoping Shan, Pu Li, Fenglei Du, Yiwei Yang

“…Abstract Background This study compared the plan quality and execution efficiency of VMAT plans using TrueBeam single-isocenter and Halcyon dual-isocenter systems for postoperative left-sided breast cancer, providing evidence for the selection and application of radiotherapy methods after breast cancer surgery. …”
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Technology’s dual role in smart cities and social equality: A systematic literature by Ayanda Ntanda, Randall Carolissen

“…After applying inclusion criteria, 37 studies were selected for analysis. Results: While smart city initiatives enhance urban efficiency and economic growth, they risk deepening social inequalities. …”
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Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models by Rozhan Feizi, Iman Parseh, Ali Zafarzadeh, Sahand Jorfi, Amir Sheikhmohammadi

“…The study supports AI-based models as strong tools which enable optimization of complex environmental remediation methods and enhance pollutant remediation procedures. …”
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On an RNA-Membrane Protogenome by Michael Yarus

“…Efficient evolution exists before DNA, else the DNA genome itself could not evolve. …”
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Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

“…However, these peptides’ structural complexity and diversity have posed challenges for functional prediction. …”
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Friction Prediction in Asphalt Pavements: The Role of Separated Macro- and Micro-Texture Parameters Under Dry and Wet Conditions by Jie Gao, Jingjing Fan, Chong Gao, Liang Song

“…The regression models effectively predict both friction coefficients, reducing field testing complexity and cost. These models provide an efficient tool for evaluating skid resistance and supporting pavement performance and maintenance management. …”
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Structure-based molecular screening and dynamic simulation of phytocompounds targeting VEGFR-2: a novel therapeutic approach for papillary thyroid carcinoma by Shuai Wang, Lingqian Zhang, Wenjun Zhang, Xiong Zeng, Jie Mei, Weidong Xiao, Lijie Yang

“…Additionally, the selected compounds exhibited highly favorable ADMET properties, including optimal water solubility, efficient gastrointestinal absorption, and a non-hepatotoxic profile, all aligning with Lipinski’s rule of five. …”
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