Biorational Reflections in Agricultural Chemical Research by Hans Geissbühler

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Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers’ Markets by Mei Liu, Yunhua Chen, Jinjun Rao, Wojciech Giernacki, Zhiming Wang, Jinbo Chen

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Efficient AI-Driven Query Optimization in Large-Scale Databases: A Reinforcement Learning and Graph-Based Approach by Najla Sassi, Wassim Jaziri

“…As data-centric applications become increasingly complex, understanding effective query optimization in large-scale relational databases is crucial for managing this complexity. …”
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A Fast Satellite Selection Method Based on the Multi-Strategy Fusion Grey Wolf Optimization Algorithm for Low Earth Orbit Satellites by Wei Lv, Mingjian Chen, Xingyu Shi, Yuxing Li, Yang Shen, Wanli Li, Shuai Tong

“…The traditional satellite selection algorithms have the problems of high computational complexity and significant hardware dependence. …”
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Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

“…Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> complex (SBSEC) are key contributors to ruminal acidosis and related digestive disorders due to their role in carbohydrate fermentation and lactic acid production. …”
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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…Therefore, feature selection (FS) is particularly important in IDSs. By selecting the most representative features, it can not only improve the detection accuracy but also significantly reduce the computational complexity and attack detection time. …”
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Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…Numerical results demonstrate the effectiveness and advantages of the proposed frameworks in enhancing FL efficiency.…”
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Restart Mechanisms for the Successive-Cancellation List-Flip Decoding of Polar Codes by Charles Pillet, Ilshat Sagitov, Alexios Balatsoukas-Stimming, Pascal Giard

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Optimizing demulsifier selection for crude oil dehydration: a fuzzy TOPSIS-based multi-criteria decision-making approach by Jianyong Yu, Merwa Alhadrawi, Farag M. A. Altalbawy, Ahmed Rasol Hasson, M. Mehdi Shafieezadeh

“…However, selecting an optimal demulsifier remains a complex problem due to the need to balance separation efficiency, environmental impact, cost-effectiveness, and ease of application. …”
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Reflections and trajectories for interdisciplinary research on the energy transition by Cesare Sposito, Francesca Scalisi

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Strategic Spatial Segregation in Silicon Photoelectrodes: Decoupling Catalytic and Optical Functions for High‐Efficiency Solar Water Splitting by Soohyeok Park, Dongho Seo, Sangbeom Hong, Geonhwi Kim, Yejin Han, Inkyeong Park, Seongmin Lee, Min‐Joon Park, Ki Min Nam, Han‐Don Um

“…Furthermore, a scalable fabrication strategy is developed utilizing controlled wet etching and selective catalyst deposition, enabling precise realization of these complex architectures. …”
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Identification of new inhibitors of the kinase acti­vity of CDK2 and CDK9 by molecular modeling and high-efficiency screening by G.V. Andrianov, I.G. Serebriiskii

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BiOI-embedded molecularly imprinted polymer-functionalized BiOIO3 photocatalyst with spatially coupled dual-active sites for efficient selective citalopram removal by Lin Liu, Runan Chen, Chenshi Luo, Pengfei Liang, Mengyuan Zhang, Yongli Liu, Guifen Zhu

“…Achieving high-selectivity priority identification and degradation of target pollutants in complex water environments using photocatalytic technology remain challenging. …”
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CFRP flexible manufacturing with superior quality and efficiency using a versatile spatially shaped femtosecond laser by Xueqiang Zhang, Xin Li, Yunduo Wang, Qimeng Song, Yiwen Li, Kaihu Zhang, Mengyao Tian, Yibo Lu, Xiaorui Li, Sumei Wang, Lan Jiang

“…Unlike traditional Gaussian lasers, the spatially shaped laser fields with precisely regulated energy distribution, shape and size are tailored for general-purpose CFRP manufacturing while ensuring superior processing quality and efficiency. For selective removal, the energy homogenization and size regulation enable the complete removal of surface resin without damaging the carbon fibers, demonstrating a 33.4-fold increase in effective scanning width. …”
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An FPGA Prototype for Parkinson&#x2019;s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…This paper proposes an efficient machine learning model for PD detection using voice-based features, which offer a non-invasive, cost-effective, and accessible alternative to complex imaging methods. …”
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State regulation of the oil and gas complex in the conditions of digitalization of the world economic system by S. E. Trofimov

“…It was concluded that it is necessary to reflect long-term goals and tactical tasks in program-targeted documents, expand co-operational interactions with various sectors of the economy and industries, and promote technological innovations at the state level that allow expanding industrial and production potential and ensuring faster development of the oil and gas complex. …”
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Deep learning optimization of STAR-RIS for enhanced data rate and energy efficiency in 6G wireless networks by Amal Megahed, Ahmed. M. Abd El-Haleem, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim

“…Abstract Unlike traditional reflection-only reconfigurable intelligent surfaces (RISs), simultaneously transmitting and reflecting RISs (STAR-RISs) introduce an innovative technology. …”
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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…When spectral bands are considered as scatter points in the image space, hyperspectral band selection can be transformed into the column subset selection problem for matrices. …”
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The antecedents and contingency factors for seaport users’ time efficiency: resource-based view perspective by Renger Kanani

“…Seaport efficiency is an important driver for seaport selection. …”
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An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

“…In the era of industry 4.0, artificial intelligence (AI) offers new perspectives for researching the complex sustainable chemical reactions in selective catalytic reduction (SCR). …”
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