#AppliedSciences #IssueCover All the papers in Volume 13, Issue 21 (November-1 2023) 🔗 https://lnkd.in/gQ3v4Qd8 Cover Paper: 📚 Dual #PID Adaptive Variable Impedance Constant Force Control for #GrindingRobot 🔗 https://lnkd.in/g2QEzXU2 👨🔬 By Prof. Dr. Kai Guo et al. 🏫 Shandong University #mdpiapplsci MDPI
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To improve the efficiency of water resources along the Yellow River, researchers with Beifang University of Nationalities (North Minzu University), Lvliang University, and Ningxia University created a model of a section of the Shizuishan section. https://lnkd.in/eBKimh3t #rivermodeling #civilengineering #waterresources #hydrology
Design and Numerical Simulation of the Headworks in the Shizuishan Section of the Yellow River
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We encourage you to submit an abstract (https://lnkd.in/d3yxMgW6) for a presentation about one of the main conference topics: - Structural health monitoring; - Performance and damage assessment; - Damage control; - Structural strengthening and repair; - Durability issues as related to harsh environments; - Shape memory alloys in civil structures; - Practical applications and case studies; - Visionary concepts. We have also accepted 16 mini-symposium proposals (https://lnkd.in/dsBvc3Xr), which you may consider for your possible contribution. Finally, we remind you that accepted full papers will be published in Open Access (CC-BY-NC-ND license) on the journal Procedia Structural Integrity (Elsevier) and, thus, indexed both in Scopus and Web of Science. #engineering #research #conference #conference2024 #structuralengineering #structuralhealthmonitoring #assessment #rehabilitation
📢We are pleased to announce that the abstract submission deadline for SMAR 2024 has been extended to 20 November 2023! 📢 📆 New Abstract Submission Deadline: November 20, 2023 🔗 Submit Your Abstract Now: https://lnkd.in/eUsNjwxW #SMAR2024 #Monitoring #assessment #rehabilitation #civilengineering #Structures #Innovation #Research #AbstractSubmission #conference Università degli Studi di Salerno, Empa, Empa - Structural Engineering Research Laboratory
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🎉 🎉 🎉 Exciting news: We are pleased to share that the guest editor Prof. Dr. Shirong Liu of the Special Issue “Hydrological Modelling of Forested Ecosystems” has been named an Academician of the Chinese Academy of Engineering. 🎄 Publish your interesting papers in the Special Issue and read more at: https://lnkd.in/gsj_snEz 📖 #foresthydrology #streamflow #hydrologicalprocesses #forecastsandprojections #climatechange #hydrologicalmodelling #forestedecosystems
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📃Scientific paper: Self-Interacting Forbidden Dark Matter under a Cannibally Co-Decaying Phase Abstract: In a usual dark matter \(DM\) model without a huge mass difference between the DM and lighter mediator, using the coupling strength suitable for having the correct relic density, the resulting self-interaction becomes several orders of magnitude smaller than that required to interpret the small scale structures. We present a framework that can offer a solution for this point. We consider a model that contains the vector DM and a heavier but unstable Higgs-like scalar in the hidden sector. When the temperature drops below $\sim m\_\{\rm DM\}$, the hidden sector, which is thermally decoupled from the visible sector, enters a cannibal phase, during which the DM density is depleted with the out-of-equilibrium decay of the scalar. The favored parameter region, giving the correct relic density and the proper size of self-interactions, shows the scalar-to-DM mass ratio $\in \[1.1,1.33\]$ and the scalar mass $\in\[9,114\]\,\{\rm MeV\}$. A sizable parameter space still survives the most current constraints and can be further probed by the near future NA62 beam dump experiment. ;Comment: 21 pages, 5 figures, The content redrawn; Some statements corrected; Figures revised; Main results unchanged Discover the rest of the scientific article on es/iode ➡️https://etcse.fr/lp3
Self-Interacting Forbidden Dark Matter under a Cannibally Co-Decaying Phase
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#RecommendedPaper #HighlyCitedPaper Development History of the Numerical Simulation of #Tides in the #EastAsianMarginal Seas: An Overview https://lnkd.in/g9bTzyXv #mdpijmse Ministry of Natural Resources #oceanmodel #SouthChinaSea #adjointassimilationmethod #internaltides #tidalmixing
Development History of the Numerical Simulation of Tides in the East Asian Marginal Seas: An Overview
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CEO & Hydrologist; The SHIBATANI GROUP Inc.; Expert Witness, Water Utility Counselor; Flood/Disaster Litigation; Reservoir Operations; Groundwater; Climate Change
“The quantity and quality of surface waters are inherently connected yet are overwhelmingly studied independently in the field of remote sensing” Remotely observable water quantity (e.g., water extent, water elevation, lake/reservoir volume, and river discharge) and water quality (e.g., color, turbidity, total suspended solids, chlorophyll a, colored dissolved organic matter, and temperature) parameters of inland waterbodies interact through a series of hydrological and biogeochemical processes. In this review, trends in remote sensing publications were examined to better understand the prevalence of studies on the quantity versus quality of open-surface inland waterbodies (e.g., rivers, streams, lakes, and reservoirs) as well as identified opportunities for integrating both water quality and quantity sensing in future work. The overview offers insights into these commonly ignored connections in the field of satellite remote sensing and offers future steps toward a more holistic observation of inland water dynamics. Specifically, the study objectives were to 1) provide a synthesis of satellite-observable water quantity and quality parameters of inland waterbodies; 2) identify connections between inland water quantity and quality; 3) help bridge the divide between water quantity and quality within the field of remote sensing; and 4) offer potential steps forward by highlighting knowledge gaps and suggesting relevant science questions. An insightful examination is provided by Ellis et al. (2024) in WIRES Water, “Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review”
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