Optimizing Resource Fragmentation in Virtual Network Function Placement Using Deep Reinforcement Learning by Ramy Mohamed, Marios Avgeris, Aris Leivadeas, Ioannis Lambadaris

“…In the 6G wireless era, the strategical deployment of Virtual Network Functions (VNFs) within a network infrastructure that optimizes resource utilization while fulfilling performance criteria is critical for successfully implementing the Network Function Virtualization (NFV) paradigm across the Edge-to-Cloud continuum. …”
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Natural rubber composites incorporating alkali lignin: Property characterization and functional evaluation by Skulrat Pichaiyut, Bunyarit Panyapinyopol, Parinvadee Chukaew, Yuwanda Thongpanich, Fuangfa Utrarachkij, Sanchai Kuboon, Wasawat Kraithong, Pongtanawat Khemthong, Kriangsak Riewklang, Kamonwat Nakason, Wanwitoo Wanmolee

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Advancements in research on bacteria-algae symbiosis technology for treating biogas slurry in livestock and poultry breeding by ZHANG Yabin, DANG Tengfei, LI Zhiguo, GUO Xiaoying, GUO Qiong, WANG Yan, WAN Junfeng

“…Additionally, the research direction of bacteria-algae symbiosis technology in the field of biogas slurry treatment and resource utilization was analyzed, emphasizing the potential of bacteria-algae granular sludge resource utilization technology as a pivotal research area in biogas slurry resource treatment technology.…”
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Adsorption and Removal of Phosphate by Leather Collagen Fiber-based Material Loaded with UiO–66–NH2 by Xiaohan YANG, Songbo DAI, Yuqing HE, Xiudan TAO, Likun CHEN, He ZHENG, Zhengjun LI

“…The resource utilization of tannery waste is beneficial to the sustainable development of leather industry, and the removal of phosphate from phosphorus-containing wastewater is of great significance to environmental protection. …”
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Programmatic Approach to Outpatient Cardiac Catheterization in Children With Stable Pulmonary Arterial Hypertension by Gregory T. Adamson, Minnie N. Dasgupta, Zachary Kleiman, Lynn F. Peng, Michelle Ogawa, Vidhya Balasubramanian, Chandra Ramamoorthy, Jeffrey A. Feinstein

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Ethanolamine-induced assembly of microcompartments is required for Fusobacterium nucleatum virulence by Dana S. Franklin, Yi-Wei Chen, Yimin Chen, Manuel Wittchen, Angela Agnew, Alexis Luu, Julian P. Whitelegge, Z. Hong Zhou, Andreas Tauch, Asis Das, Hung Ton-That

“…We demonstrated here that this microbe assembles specialized metabolic organelles, termed bacterial microcompartments (BMCs), to utilize environmental ethanolamine (EA) as a key environmental nutrient source. …”
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Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

“…To develop a model of the resource allocation system structure based on the functional-network principle for integrating various public transport modes into a unified transport network. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Appropriate probability density functions (PDF) are employed to estimate the uncertain WP, PV source, HP, and load demand. …”
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Adsorptive Removal of Hexavalent Chromium from Aqueous Solution Utilizing Activated Carbon Developed from <i>Spathodea campanulata</i> by Meseret Dawit Teweldebrihan, Megersa Olumana Dinka

“…Heavy metal contamination of water sources has emerged as a major global environmental concern, affecting both aquatic ecosystems and human health. …”
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Synergistic fermentation of vitamin B2 (riboflavin) bio-enriched soy milk: optimization and techno-functional characterization of next generation functional vegan foods by Ananya Rana, Neetu Kumra Taneja, Anupama Singh, Tejpal Dhewa, Vikram Kumar, Ankur Kumar, Komal Chauhan, Vijay Juneja, Harinder Singh Oberoi

“…This advancement is particularly significant for lactose-intolerant and vegan consumers who may lack sufficient dietary sources of Vitamin B2.…”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…Unlike prior studies that rely on single data sources or unidimensional metrics, our multi-source approach enhances spatiotemporal resolution, improves the accuracy of subjective perceptions, and enables cross-validation between objective behavioral trajectories and residents’ self-reports, thereby significantly strengthening the comprehensiveness and reliability of community vitality measurement. …”
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Functional Properties of Polyphenols in Grains and Effects of Physicochemical Processing on Polyphenols by Shuangqi Tian, Yue Sun, Zhicheng Chen, Yingqi Yang, Yanbo Wang

“…Now, different physicochemical processing treatments and their effects have been summarized in order to provide the basis for promoting the development and utilization of food. The various functions of whole grains are closely related to the antioxidant effect of polyphenols. …”
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Extensive microbial and functional diversity within the chicken cecal microbiome. by Martin J Sergeant, Chrystala Constantinidou, Tristan A Cogan, Michael R Bedford, Charles W Penn, Mark J Pallen

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Antibacterial performance, microstructure, optical, and magnetic characteristic of eco-friendly magnetite/carbon dots ferrofluids synthesized utilizing plants extract by Mercuryta Dewi Noviastuti, Emi Kurnia Sari, Adhistinka Jiananda, Nurul Imani Istiqomah, Larrisa Jestha Mahardhika, Dyah Ayu Larasati, Sudarmono, Julia Angel, Ari Dwi Nugraheni, Edi Suharyadi

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Singlet Oxygen Energy for Enhancing Physiological Function and Athletic Performance by Chia-Feng Hsieh, Chun-Ta Huang, Cheng-Chung Chang, Tun-Pin Hung

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Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

“…This study presents a state-of-the-art explainable artificial intelligence (XAI) method to estimate corn yield prediction over the Corn Belt in the continental United States (CONUS). We utilize the recently introduced Kolmogorov–Arnold Network (KAN) architecture, which offers an interpretable alternative to the traditional Multi-Layer Perceptron (MLP) approach by utilizing learnable spline-based activation functions instead of fixed ones. …”
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Power and Frequency Control of Active Generator used for Smart Grid Applications by Ehsan Limouchi, Seyed Abbas Taher, Babak Ganji

“…Nowadays, renewable energy sources such as photovoltaic and active generators are utilized frequently in modern power systems especially micro-grid. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Principal component analysis and information entropy performed better in identifying construction and corridor areas, whereas nonlinear fusion showed advantages in source area identification. This study makes three key contributions: (1) it establishes a novel methodological framework for incorporating vertical geological factors into ESP construction, addressing a significant gap in traditional approaches; (2) it quantitatively reveals the spatial heterogeneity of land subsidence impacts on different functional ecological zones, providing evidence-based guidance for targeted management; and (3) it demonstrates the effectiveness of deep learning and multisource data fusion techniques in complex ecological-geological system modeling. …”
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Data- and knowledge-derived functional landscape of human solute carriers by Ulrich Goldmann, Tabea Wiedmer, Andrea Garofoli, Vitaly Sedlyarov, Manuel Bichler, Ben Haladik, Gernot Wolf, Eirini Christodoulaki, Alvaro Ingles-Prieto, Evandro Ferrada, Fabian Frommelt, Shao Thing Teoh, Philipp Leippe, Gabriel Onea, Martin Pfeifer, Mariah Kohlbrenner, Lena Chang, Paul Selzer, Jürgen Reinhardt, Daniela Digles, Gerhard F Ecker, Tanja Osthushenrich, Aidan MacNamara, Anders Malarstig, David Hepworth, Giulio Superti-Furga

“…This SLC-centric knowledge is made accessible to the scientific community via a web portal featuring interactive dashboards and visualization tools. Utilizing this systematically collected and curated resource, we computationally derived an integrated functional landscape for the entire human SLC superfamily. …”
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