Trade-offs in AI assistant choice: Do consumers prioritize transparency and sustainability over AI assistant performance? by Tomohiro Ioku, Jaehyun Song, Eiichiro Watamura

“…As artificial intelligence (AI) becomes more integrated into society, concerns have arisen about unintended biases in AI-driven decision-making and the environmental impact of AI technology development. AI assistants such as Siri and Alexa, while helpful, can obscure decision-making and contribute to increased energy use and CO2 emissions. …”
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Adsorption of Cr(VI) onto Hybrid Membrane of Carboxymethyl Chitosan and Silicon Dioxide by Yanling Deng, Naoki Kano, Hiroshi Imaizumi

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Stochastic Stabilization of Malware Propagation in Wireless Sensor Network via Aperiodically Intermittent White Noise by Xiaojing Zhong, Baihao Peng, Feiqi Deng, Guiyun Liu

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The study of plant growth promoter production from leather industrial solid waste by John Sundar

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Aging in Place: Evolution of a Research Topic Whose Time Has Come by Sarinnapha Vasunilashorn, Bernard A. Steinman, Phoebe S. Liebig, Jon Pynoos

“….), with a substantial increase in manuscripts pertaining to technology and health/functioning. This underscores the increase in diversity of topics that surround the concept of aging-in-place literature in gerontological research.…”
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Bacterial Performance in Crack Healing and its Role in Creating Sustainable Construction by Digafe Alemu, Wubetie Demiss, Gamachis Korsa

“…Biological construction materials are currently emerging technology to combat emissions from the construction sector. …”
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Automated Testing of Ultrawideband Positioning for Autonomous Driving by Benjamin Vedder, Bo Joel Svensson, Jonny Vinter, Magnus Jonsson

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BIM-based Optimization of Placing Sequencing of A Concrete Gravity Dam by XU Xiaofeng, YU Hong, JIANG Kaiyun

“…To seek an ideal duration under a variety of limitations, the BIM technology and Shell's sort are jointly applied in the visual simulation of the dam placement plan. …”
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Recent Experimental Efforts on High-Pressure Supercritical Injection for Liquid Rockets and Their Implications by Bruce Chehroudi

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Critical Reviews on the Methodology in Law: A Case Study of Introduction to Research Methods in Law by Mohammad Saeed Taslimi, Khalil Norouzi, Mohammad Amin Hakemi

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History of Scientific Contacts between Russian and French Plant Physiologists in the Late ХIХ Century - 1970s by Mariya V. Malunova

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New Estimates of q1q2-Ostrowski-Type Inequalities within a Class of n-Polynomial Prevexity of Functions by Humaira Kalsoom, Muhammad Idrees, Dumitru Baleanu, Yu-Ming Chu

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The Aerodynamic Behavioral Study of Tandem Fan Wing Configuration by Du Siliang, Tang Zhengfei

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Russian industrial production development by A. K. Titov

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Multi-level agent architecture for war games by YU Xiaohan, YUAN Duo, YAO Changhua

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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

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Design of A Novel Robot with Omni-directional Mobile and Obstacle-crossing Function by 臧红彬, 许雄, 周颖玥, 陶俊杰, 蔡勇, 赵登峰, 沈连婠

“…Finally,the functions of the robot system including straight movement,lateral movement,zero turning radius and overcoming obstacles are simulated based on the virtual prototype technology. A well functioning prototype is designed and manufactured,and its performance is excellent.…”
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Deep reinforcement learning based algorithm for real-time QoS optimization of software-defined security middle platform by Yuancheng LI, Yongtai QIN

“…., a novel algorithm based on deep reinforcement learning for optimizing QoS in software defined security middle platforms (SDSmp) in real-time was proposed.Firstly, the fragmented security requirements and infrastructure were integrated into the SDSmp cloud model.Then by leveraging the power of deep reinforcement learning and cloud computing technology, the real-time matching and dynamic adaptation capabilities of the security middle platform were enhanced.Finally, a real-time scheduling strategy for security middle platform resources that meet QoS goals was generated.Experimental results demonstrate that compared to existing real-time methods, the proposed algorithm not only ensures load balancing but also improves job success rate by 18.7% for high QoS and reduces the average response time by 34.2%, and it is highly robust and better suited for real-time environments than existing methods.…”
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Interactive Multimodal Television Media Adaptive Visual Communication Based on Clustering Algorithm by Huayuan Yang, Xin Zhang

“…This article starts with the environmental changes in human cognition, analyzes the virtual as the main feature of visual perception under digital technology, and explores the transition from passive to active human cognitive activities. …”
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Breast fine-needle aspiration cytology in the era of core-needle biopsy: what is its role? by Ahrong Kim, Hyun Jung Lee, Jee Yeon Kim

“…Despite challenges, FNAC remains a valuable diagnostic method, particularly in low-resource settings and specific clinical scenarios, and its role continues to evolve with technology.…”
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