Bayesian Prototypical Pruning for Transformers in Human–Robot Collaboration by Bohua Peng, Bin Chen

“…Action representations are essential for developing mutual cognition toward efficient human–AI collaboration, particularly in human–robot collaborative (HRC) workspaces. …”
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Molecular Modification Strategies for Enhancing CO₂ Electroreduction by Yali Wang, Leibing Chen, Guoying Li, Jing Mei, Feng Zhang, Jiaxing Lu, Huan Wang

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Novel methotrexate long-acting system using ambroxol coating and hydroxypropyl methylcellulose encapsulation for preferential and enhanced lung cancer efficiency. by Samaa Abdullah, Najla Altwaijry, Meaad Alnakhli, Ghezlan ALenezi, Alaa A Al-Masud, Hanan Henidi, Yahya F Jamous

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Effect of salinity stress and genetical parameterers estimation of some burley (Hordeum Vulgare L.) Cultivars lines in seed germination and seedling primary growth stage by سید محمدرضا احتشامی, زهرا امین دلدار, خداداد مصطفوی, محمد گلباشی, علی ایزدی دربندی, مهدی ضرابی

“…Also germination prcentage under salinity stress condition had high GCV and h2and suggested that there is high importance of additive gene action for seed vigority. So using these traits as selection index can be effective. …”
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Possibilities of Continuous Improvement of Budgets by the Kaizen Method in the Current Context by Svetlana MIHAILA, Galina BĂDICU, Nicolai JIERI

“…In order to guide their actions, the entities request information on the activity carried out, in which the most important place is the budget. …”
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IMPROVING THE QUALITY OF INVESTMENT DESIGN IN INDUSTRIAL CONSTRUCTION by I. M. Meylanov

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Smart greenhouse farming: a review towards near zero energy consumption by Abdellatif Soussi, Enrico Zero, Ahmed Ouammi, Driss Zejli, Said Zahmoun, Roberto Sacile

“…Future research should focus on cost-effective innovations, interdisciplinary approaches, and the scalability of energy-efficient designs. This review provides actionable information for researchers, policymakers, and practitioners to advance the transition to sustainable, near-zero energy greenhouse systems.…”
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Boosting Expression of a Specifically Targeted Antimicrobial Peptide K in <i>Pichia pastoris</i> by Employing a 2A Self-Cleaving Peptide-Based Expression System by Yunhui Zhu, Yuwen Li, Yuxin Fang, Mingyang Hu, Lu Zhao, Mingrui Sui, Na Dong

“…The optimized yield of KTK was 6.67 mg/mL, suggesting the efficiency of the expression system. Selectivity, antibacterial activity, biocompatibility, and the stability of the fermentation product were equivalent to the chemically synthesized peptide. …”
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Application of the Analytical Hierarchy Process in the management of private ambulance care systems in three selected European countries: a strategic decision-making framework by Jalal Rezaei, Roya Azouji, Mina Azouji, Hamzeh Ghorbani, Hamzeh Ghorbani

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Rationale for obtaining protein concentrate of industrial hemp seeds of Cannabis sativa L. of modern selection based on mathematical modeling and its application in food production by A. V. Petrenko, E. S. Tarasov, O. N. Kaminir, E. N. Guba, E. A. Kalinyuk

“…At the same time, the composition of globulin fractions, in comparison with albumin, indicates a great potential for the use of globulin in the formulations of functional food products, as well as a component of targeted technological action. In general, the studies have shown the feasibility of using protein concentrates from industrial hemp seeds of Cannabis Sativa L of modern selection in food products as a functional and technological ingredient.…”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…To solve this problem, this paper adopts a deep reinforcement learning method based on a deep deterministic policy gradient algorithm, and it applies an action space pruning technique to optimize the controller, which significantly improves the convergence speed of network training. …”
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Efficient joint resource allocation using self organized map based Deep Reinforcement Learning for cybertwin enabled 6G networks by Nivetha A, Preetha KS

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Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring by Asma A. Alhashmi, Ghada Moh. Samir Elhessewi, Mukhtar Ghaleb, Nazir Ahmad, Nojood O. Aljehane, Tareq M. Alkhaldi, Hamad Almansour, Samah Al Zanin

“…Furthermore, the Chimp Optimisation Algorithm (CHOA) model is employed for the feature selection (FS) process to select the most significant features from the dataset. …”
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Ribo-seq and RNA-seq analyses enrich the regulatory network of tomato fruit cracking by Zhaojiang Zhong, Zhen Wu, Rong Zhou, Xiaowei Yu, Yuanyuan Zhou, Yinghao Zhai, Haowei Lin, Fangling Jiang

“…Clarifying the molecular mechanism underlying tomato fruit cracking is of great importance for selecting and breeding cracking-resistant varieties. …”
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Incentivising cooperation by judging a group’s performance by its weakest member in neuroevolution and reinforcement learning by Jory Schossau, Bamshad Shirmohammadi, Arend Hintze, Arend Hintze

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Constructing sports facilities using environment-friendly materials by Rui Li, Chenxi Zhai

“…., Europe carries out the EU Horizon 2020 plan, which invests 3.018 billion euros for studying climate action, environment, resource efficiency, and rare materials for green manufacturing. …”
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Enhancing Sign Language Recognition Performance Through Coverage-Based Dynamic Clip Generation by Taewan Kim, Bongjae Kim

“…This metric quantifies how effectively a clip selection captures the temporal information in a given video, enabling the system to maintain both temporal fidelity and computational efficiency. …”
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Understanding Recruiters’ Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model by Filomena Almeida, Ana Junça Silva, Sara L. Lopes, Isabel Braz

“…The integration of new technologies in professional contexts has emerged as a critical determinant of organizational efficiency and competitiveness. In this regard, the application of Artificial Intelligence (AI) in recruitment processes facilitates faster and more accurate decision-making by processing large volumes of data, minimizing human bias, and offering personalized recommendations to enhance talent development and candidate selection. …”
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Alloy Substitution in a Critical Raw Materials Perspective by Paolo Ferro, Franco Bonollo, Sylvia Cruz

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Modeling the Potential Habitat Gained by Planting Sagebrush in Burned Landscapes by Julie A. Heinrichs, Michael S. O’Donnell, Elizabeth K. Orning, David A. Pyke, Mark A. Ricca, Peter S. Coates, Cameron L. Aldridge

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