A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem by Gaochao Xu, Yan Ding, Jia Zhao, Liang Hu, Xiaodong Fu

“…One is that it combines the artificial bee colony (ABC) idea with the uniform random initialization idea, the binary search idea, and Boltzmann selection policy to achieve an improved ABC-based approach with better global exploration’s ability and local exploitation’s ability. The other one is that it uses the Bayes theorem to further optimize the improved ABC-based process to faster get the final optimal solution. …”
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VLA-Grasp: a vision-language-action modeling with cross-modality fusion for task-oriented grasping by Jianwei Zhu, Xueying Sun, Qiang Zhang, Mingmin Liu

“…While recent approaches have incorporated semantic knowledge into TOG models to enable robots to understand linguistic commands, they lack the ability to leverage relevant information from vision, language, and action. …”
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Phytoremediation of Mercury Contaminated Soils by Swietenia macrophylla Inoculated with Arbuscular Mycorrhizal Fungi (Acaulospora sp.) by Mei Jayani Faradila, Faridah Eny, Nurjanto Handojo Hadi, Riniarti Melya

“…This study aimed to analyze the ability of S. macrophylla inoculated with AMF in Hg phytoremediation. …”
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Emerging Noninvasive Biomolecular Checkpoints for Healthy Microbiomes by A. Dahl, M. J. Pugia

“…Overwhelming the immune system reduces the ability of monocytes (CD14) to transform into macrophages and impairs the energy-yielding metabolism signaling of adipokines, lowering the ability to improve cardiorespiratory fitness (CRF) or achieve significant weight loss. …”
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Leveraging Dual Timestamps to Enhance Process Model Construction Using Time-Infused Inductive Miner by Yutika Amelia Effendi, Minsoo Kim

“…This approach enhances the algorithm’s ability to understand parallel structures within process models. …”
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Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application by Zhenyu Wang, Zijian Cao, Zhiqiang Du, Haowen Jia, Binhui Han, Feng Tian, Fuxi Liu

“…To enhance the optimization ability of DE in optimizing black box problems with unknown features, a differential evolution with autonomous selection of mutation strategies and control parameters (ASDE) is proposed in this paper, inspired by autonomous decision-making mechanism of reinforcement learning. …”
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Dynamic activation and enhanced image contour features for object detection by Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang

“…This paper proposes a lightweight and efficient object detection model based on YOLOv4, first using the lightweight network GhostNet to extract image features and reduce the number of parameters and computation of the backbone structure; then combining AFmodule and Meta-ACON activation function to enhance the feature extraction capability of the backbone network, which strengthen the mode’s ability to capture image spatial feature information; this paper also designs the RL-PAFPN feature fusion structure is with the Reslayer module to further improve the model’s ability to extract and fuse image features. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Our framework has two types of workflows depending on if external OOD data is available, the complexity of the original training loss is sharply reduced by adopting this modification, meanwhile, the adapted ability and detection performance are enhanced. Also, we contribute a mini dataset as a light and efficient alternative of the previous large-scale one. …”
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Trajectory Planning of Unmanned Aerial Vehicles in Complex Environments Based on Intelligent Algorithm by Zhekun Cheng, Jueying Yang, Jinfeng Sun, Liangyu Zhao

“…Ultimately, this review provides practical guidance for developing intelligent trajectory planning methods for UAVs to achieve the minimal amount of time spent on computation, efficient dynamic collision avoidance, and superior task completion ability.…”
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Probing non-standard neutrino interactions with supernova neutrinos at Hyper-K by Minjie Lei, Noah Steinberg, James D. Wells

“…Sensitivity to NSSI in the normal hierarchy (NH) at Hyper-K is limited by the experiment’s ability to efficiently detect νe, but deviations from no NSSI could be seen if the NSSI is particularly strong. …”
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Design and Construction of an Automatic Discharge and Sediment Load Monitoring Equipment by Hasan rezaei moghadam, Vahedberdi Sheikh, Maryam Azarakhshi, Mohsen Hosseinalizadeh, Jahangir Mohamadi

“…To carry out simulations that are both accurate and efficient, it is essential to have access to sufficient and reliable data and information for verification and validation purposes. …”
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Overcoming the Low‐Temperature Barrier: Controlling Li₂S Deposition and Enhancing Catalysis in Lithium‐Sulfur Batteries Using Island‐like Bi₂O₃ on rGO by Hai‐Ji Xiong, Ding‐Rong Deng, Yu‐Lin Luo, Jia‐Xi Song, Jin‐Wei Yan, Shuang‐Lin Cai, Jia Liang, Cheng‐Wei Zhu, Ye Zeng, Gui‐Fang Li, Yi Li, Wen‐Jun Zhang, Mei‐Lin Liu, Qi‐Hui Wu

“…This unique island‐like structure increases the contact area between the electrolyte and electrode, thus enhancing Li⁺ transport efficiency. More importantly, the IBG structure exhibits a targeted catalytic ability toward LiPSs at low temperatures, significantly accelerating the conversion of Li₂S₈ to Li₂S₄ and subsequently to Li₂S. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

“…IntroductionThe colony forming assay (CFA) stands as a cornerstone technique for evaluating the clonal expansion ability of single cancer cells and is crucial for assessing drug efficacy. …”
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Synergetically integrated vertical farms by Tess Blom

“…Vertical farming is often advocated as a sustainable food system, as they offer several benefits over conventional farming systems, including efficient land use, high yields, minimal water and nutrient usage, the redundancy of pesticides and herbicides, and the ability to be located within or adjacent to cities where food demands are high. …”
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Evaluation of the Tolerance of Promising Genotype of Bean (Phaseolus vulgaris Linnaeus) to Two-Spotted Mite (Tetranychus urticae Koch (Acari: Tetranychidae)) in Field Conditions by Sedighe Ashtari, Behrouz Asadi, Hamid Reza Dorri

“…The two-spotted spider mite, due to its extensive host range, rapid population growth, and ability to develop resistance to pesticides, is one of the key pests. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…In terms of record-keeping and efficient data management, the agricultural enterprise utilizes the Modiran Farmer software. …”
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Cultural aspects of organizational agility affecting digital innovation by Dulce Goncalves, Magnus Bergquist, Richard Bunk, Sverker Alänge

“…Sometimes the incumbents are even outcompeted and disrupted by startups because of their ability to embrace change, and rapidly seize new business opportunities. …”
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ANALYSIS OF PERCEIVED QUALITY OF EDUCATION SERVICE by Murwatiningsih Murwatiningsih

“…The method of collecting data using questionnaires, whereas method of data analysis using non-parametric statistics (descriptive percentages).The result shows that the quality of education services, which can be seen from the dimensions of relevance, efficiency, effectiveness, accountability, responsiveness, creativity, productivity, academic abilities, empathy, and appearance, are perceived well by students. …”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles by Fuxing Yao, Chao Sun, Bing Lu, Bo Wang, Haiyang Yu

“…Deep reinforcement learning (DRL) exhibits excellent capability of real-time decision-making and adaptability to complex scenarios, and generalization abilities. However, it is arduous to guarantee complete driving safety and efficiency under the constraints of training samples and costs. …”
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Generating Realistic Vehicle Trajectories Based on Vehicle–Vehicle and Vehicle–Map Interaction Pattern Learning by Peng Li, Biao Yu, Jun Wang, Xiaojun Zhu, Hui Zhang, Chennian Yu, Chen Hua

“…By leveraging a multihead self-attention mechanism, the model efficiently captures complex dependencies among vehicles, enhancing its ability to learn realistic traffic dynamics. …”
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