Epidemiological Community and Differences of Transmissive Infections in Astrakhan Region by S. V. Ugleva, V. G. Akimkin, Z. B. Ponezheva, R. R. Akhmerova, A. E. Spirenkova, Y. Y. Chernikova, S. V. Shabalina

“…The territory of the Astrakhan region hosts natural foci of severe infections of arbovirus etiology – Crimean-Congo hemorrhagic fever (CCHF) and Astrakhan fever (spotted fever resembling the Mediterranean spotted fever, Astrakhan spotted fever (ASF). …”
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Building a FAIR data ecosystem for incorporating single-cell transcriptomics data into agricultural genome to phenome research by Muskan Kapoor, Enrique Sapena Ventura, Amy Walsh, Alexey Sokolov, Nancy George, Sunita Kumari, Nicholas J. Provart, Benjamin Cole, Marc Libault, Timothy Tickle, Wesley C. Warren, James E. Koltes, Irene Papatheodorou, Irene Papatheodorou, Doreen Ware, Doreen Ware, Peter W. Harrison, Christine Elsik, Galabina Yordanova, Tony Burdett, Christopher K. Tuggle

“…In addition, we verified data ingestion into Terra, hosted on Azure, and demonstrated the use of a workflow to analyze the first ingested porcine scRNA-seq dataset. …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…Digital pathology is a process of converting microscope slides to computer image files. …”
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CREATING THE KULTUK POLYGON FOR EARTHQUAKE PREDICTION: VARIATIONS OF (234U/238U) AND 87SR/86SR IN GROUNDWATER FROM ACTIVE FAULTS AT THE WESTERN SHORE OF LAKE BAIKAL by S. V. Rasskazov, E. P. Chebykin, A. M. Ilyasova, E. N. Vodneva, I. S. Chuvashova, S. A. Bornyakov, A. K. Seminsky, S. V. Snopkov, V. V. Chechel'nitsky, N. A. Gileva

“…In general, isotoperatios of U and Sr in groundwater and surface water depend on the composition of host rocks, weathering, and alkalinity. Dissolved uranium migrates as uranyl‐ion (UO22+) characterised by its highest degree of oxidation (+6). …”
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Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri by G. Ozen, R. Sultanov

“…MapReduce is one of the methods used to process big data hosted on large clusters. …”
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Mobilité scientifique et réflexivité des chercheurs by Ana Spivak L’hoste, Matthieu Hubert

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The Legal Effects of the Maritime Border Demarcation Agreement on the Lebanese State by Mohamad Mokdad, Omar Abou Taha

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Making, Multi-Vocality and Experimental Archaeology: The Pallasboy Project by Benjamin Gearey, Mark Griffiths, Brian Mac Domhnaill, Cathy Moore, Orla-Peach Power

“…The ethos embodied by the approach can be conceived as one of ‘multi-vocal understandings’, a concept inspired by the process known as ‘Deep Mapping’. Springett (2015, p.628) has described this as an approach through which: “There is no privileging or authorizing knowledge of one source of information over another and all agents have equal resonance ... at least philosophically.” …”
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Detection of Sedimentary Basins and Karstic Faults in the Yucatán Peninsula by Gravity Inversion and Euler Deconvolution by José Carlos Ortiz-Alemán, Mauricio Nava-Flores, Jaime Humberto Urrutia-Fucugauchi, Sebastián Ortiz-Aguilar, Mauricio Gabriel Orozco-del-Castillo, Sebastian López-Juárez

“…This work aimed to resolve the shallow crustal structure and identify major tectonic features that influence karst processes and groundwater dynamics. We applied a rapid 3D gravity inversion method, linear back projection (LBP), to Bouguer anomaly data, combined with Euler deconvolution to map shallow and deep fault systems. …”
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Cyclodextrin Metal–Organic Frameworks for Catalytic Applications: Current Research and Future Outlook by Edgar Clyde R. Lopez

“…Catalysis is a fundamental process in chemistry and industry, driving the transformation of reactants into valuable products while minimizing energy input and waste generation. …”
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Les « Ramli », Jardins de culture du littoral nord-est tunisien : cartographie de l’évolution récente d’un système original d’irrigation by Hamouda Samaâli, Ibtissem Tounsi-Guerin

“…Our methodology is based on the use of a variety of large-scale mapping, photographic, and satellite data processed under a GIS. …”
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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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THE PRIVATIZATION AND FINANCIALIZATION OF URBAN SPACE: THE SEARCH FOR CENTRALITY AND NEW FORMS OF MARGINALITY IN THE TRANSFORMATION OF MILAN’S PIRELLI-BICOCCA AREA by Luca Ruggiero

“…The article shows how this process is inextricably caught up with the radical redefinition of the social dimension of the urban spaces once hosting this industrial production and, at the same time, the relative failure to effectively integrate renewal projects into the larger urban fabric conceptualized as physical and social space. …”
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Role of Lysogenic Phages in the Dissemination of Antibiotic Resistance Genes Applied in the Food Chain by Rafael Dorighello Cadamuro, Mariana Alves Elois, Giulia Von Tönnemann Pilati, Beatriz Pereira Savi, Leonardo Pessi, Yasmin Ferreira Souza Hoffmann Jempierre, David Rodríguez-Lázaro, Gislaine Fongaro

“…Advancements in metagenomic tools have improved our understanding of phage-mediated gene transfer, but significant knowledge gaps remain. Future research should aim to quantify these processes in real-world settings and develop strategies to mitigate the risks associated with lysogenic phages in food systems.…”
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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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Handover decision with multi-access edge computing in 6G networks: A survey by Saeid Jahandar, Ibraheem Shayea, Emre Gures, Ayman A. El-Saleh, Mustafa Ergen, Mohammad Alnakhli

“…MEC optimises communication and computational resources by hosting application processes close to the user equipment (UE) at the network edge, improving communication reliability and stability while reducing latency. …”
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The Widening, Deepening, and Lengthening of the Seven Mountains Mandate (7MM) Network: The Role of Network Apostolic Leadership by Fernando Mora-Ciangherotti

“…A new classification of apostolic networks is proposed in this article and a partial map of some of the networks that participated in the expansion of the 7MM is presented. …”
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Cliff ecosystems: A critical yet uncharted frontier for research and conservation by Martí March-Salas, María Begoña García, Isaac H. Lichter-Marck, Juan Lorite, Manuel J. Steinbauer

“…In this context, we aim to help elucidate evolutionary and functional patterns and processes in this unique ecosystem, while also promoting the conservation of cliff habitats and their hosted organisms.…”
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A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

“…In the mapping process, care was taken to retain the overarching damage level definitions (e.g., slight, moderate, severe damage) while customizing the specific descriptors to reflect hazard-specific damage mechanisms. …”
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Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

“…The proposed approach exploits the fact that underground cables usually follow the street pattern, thus relying on open street map (OSM) and smart meter (SM) data. Three stages compose the proposed approach: In the first stage, a hierarchical minimum spanning tree algorithm is proposed to generate the initial topology with an accurate number of sub-branches from the pre-processed OSM data and peak demand. …”
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