【Script-Based GPU-Ready ELM Development for Continuous Code Integration】 Full article: https://lnkd.in/gFM7gFdQ (Authored by Peter Schwartz, et al., from Oak Ridge National Laboratory, Environmental Sciences Division (USA), etc.) The E3SM Land Model (#ELM) is an integral part of the Energy Exascale Earth System Model (E3SM) framework, simulating the interactions between terrestrial land surfaces and other Earth system components. ELM has been instrumental in understanding hydrologic cycles, biogeophysics, and dynamics of terrestrial ecosystems. To facilitate the automatic porting of individual ELM modules, the researchers have developed a #software tool named SPEL. This work presents a SPEL extension that leverages the version control system (e.g., Git) to autonomous code generation and demonstrate its application to #continuous_code_integration and development of the ELM software system.
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Editorial Assistant-Scientific Research Publishing. Paper Submission contact: [email protected]
【Script-Based GPU-Ready ELM Development for Continuous Code Integration】 Full article: https://lnkd.in/gxi-nkbU (Authored by Peter Schwartz, et al., from Oak Ridge National Laboratory, Environmental Sciences Division (USA), etc.) The E3SM Land Model (#ELM) is an integral part of the Energy Exascale Earth System Model (E3SM) framework, simulating the interactions between terrestrial land surfaces and other Earth system components. ELM has been instrumental in understanding hydrologic cycles, biogeophysics, and dynamics of terrestrial ecosystems. To facilitate the automatic porting of individual ELM modules, the researchers have developed a #software tool named SPEL. This work presents a SPEL extension that leverages the version control system (e.g., Git) to autonomous code generation and demonstrate its application to #continuous_code_integration and development of the ELM software system.
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Geospatial Representation with R Studio The use of geospatial analysis tools has become essential in various fields of knowledge, ranging from biology and ecology to engineering and urban planning. R Studio, an integrated development environment for the R programming language, is a powerful tool for creating detailed geospatial visualizations. See this link https://lnkd.in/dTn4t_n4 , we discuss the creation and interpretation of a geospatial representation, such as the provided image, using popular packages in R Studio. Learn more with Milos Popovic, PhD 👌
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🌍 Exciting News! 🌍 After almost two years of work, we’re thrilled to announce the publication of our new building stock model (PULSE-AT), which can, depending on scenarios, estimate the potential future environmental impacts of Austrian buildings. 🔗https://lnkd.in/d5MVZcVG This model, developed using Python and Brightway2, integrates prospective life cycle assessment with dynamic material flow analysis. I will be presenting some of our results at the SETAC 26th Symposium, and Alexander Passer will present further key findings at the RENOWAVE.AT IMPACT DAYS—both happening this Wednesday, October 23rd. Join us to explore the model’s potential to help reach Paris Agreement objectives and net-zero targets through sufficiency, energy, material, and design-related measures. Looking forward to insightful discussions! #Sustainability #BuildingStockModel #LCA #MFA #GHGemissions #ParisAgreement #NetZero #SETAC #Renowave #CircularEconomy
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Exploring Logarithmic Functions 💥💥 GET FULL SOURCE CODE AT THIS LINK 👇👇 👉 https://lnkd.in/duaAPUSe Logarithmic functions are a fundamental concept in mathematics, and understanding them is crucial for many applications in science, technology, engineering, and mathematics (STEM). This practical slideshow provides an in-depth exploration of logarithmic functions, their properties, and applications. Logarithmic functions are used to model various phenomena in fields such as physics, engineering, biology, and economics. They have numerous applications, including(signal processing, noise reduction, and data compression. This slideshow aims to provide a comprehensive understanding of logarithmic functions by exploring their characteristics, graphing techniques, and practical applications. Understanding logarithmic functions is essential for problem-solving in various areas, includingstatistics, physics, and engineering. Logarithmic functions are used to represent exponential growth, decay, and oscillations, making them a powerful tool for modeling complex systems. Logarithmic functions have a wide range of applications, and mastering them can open up new possibilities for analysis and problem-solving. Additional Resources: None #stem #mathematics #logarithmicfunctions #problem-solving #physics #engineering #science #statistics #appliedmathematics #matheducation Find this and all other slideshows for free on our website: https://lnkd.in/duaAPUSe #stem #mathematics #logarithmicfunctions #problem-solving #physics #engineering #science #statistics #appliedmathematics #matheducation https://lnkd.in/dDvGF_7w
Exploring Logarithmic Functions
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📢 IEEE Geoscience and Remote Sensing Letters (GRSL): Call for Papers! A new IEEE Geoscience and Remote Sensing Letters Special Stream on “Restricted Label Learning for Remote Sensing Image Interpretation” is open for submissions. Submitted papers should focus on solutions that enable the training of machine learning models on datasets with limited labeled samples. All submissions will be peer-reviewed according to the GRSS guidelines and must not have been published or be under review elsewhere. Submission Deadline: December 31, 2024 🔗 Learn more: https://loom.ly/KbhfSaY #GRSL #GRSS #IEEE #CallForPapers #PaperSubmissions #SpecialStream #RemoteSensing #machinelearningmodels
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Probably the most important question I have ever asked. "If space is rationally parameterized, does there exist a finite path of increments of 1 from the origin to any point in the unit ball?" Equivalently, does such a path exist from the origin to any point in space? Note: if one does not exist, then I think there is some prime p that does not participate as one of the three lower values of a Pythagorean Quadruplet, ever, because participation — primitively or not — of a value z seems to be the only real criterion. But I may wish to refine that statement. Do limitations on Pythagorean Quadruplets disallow certain rational values? First one may wish to delve into whether a fair bijection always exists transforming any finite path to one of the type illustrated on the left (which may include an intermediate countably — potentially infinitely so — long oscillation around a circle transverse to the page, intermediately, and not change the criterion on "z," actually demanding potentially the existence of at least two Quadruplets meeting the criterion, or of the type illustrated on the right). If the fair bijection does not exist, this actually opens rather than closes possibilities.
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The DISPLIB2025 Computational Competition is finally here!! 1. Do you like developing optimization algorithms for real-life problems? 2. Are you up for a computational challenge? 3. Are you passionate about railway operations? If you answered "yes" to at least one of these questions, then you should definitely check out the following website, it is going to be fun! 😜 https://displib.github.io/ SINTEF Digital #optimization #algorithms #railway #trainscheduling #traindispatching
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🌟 My Development Journey Week 16 Day 2-4 Progress Update: Graph Algorithms & Cost Optimization 🌟Excited to share my latest progress (Days 2-4) diving into advanced algorithmic concepts! This week, I focused on: 🌳 Minimum Spanning Tree (MST) approaches for optimizing network designs 💡 Prim's Algorithm implementation for efficient cost estimation 📊 Practical applications in network optimization and cost minimization. These fundamental algorithms are crucial for solving real-world optimization problems in network design, infrastructure planning, and cost reduction strategies. Looking forward to applying these concepts in practical scenarios! #Algorithms #PrimsAlgorithm #GraphTheory #SoftwareDevelopment #LearningJourney
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