DeepMainMast Tutorial: Protein Structure Modeling on Web Server and Google Colab
Explore DeepMainMast for protein structure modeling on web servers like EM Server, Google Colab, or through source code. Gain insights into computational time limits, hardware parameters, model availability, installation process, and integrated protocols. Register on the web server for access and ut
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Computational thinking as 21st Century skill
Computational thinking is a critical skill for the digital age, involving problem-solving techniques that enable computers to process information effectively. It precedes programming and requires breaking down complex problems into manageable steps. Educators emphasize computational thinking exercis
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Master's Program in Computational Drug Discovery and Development - Fall 2024 Curriculum
This Master's program offers a comprehensive curriculum focusing on Artificial Intelligence, Computational Drug Discovery, and Development. With a blend of cutting-edge technologies and practical applications, students delve into techniques, AI/ML, big data mining, modeling, and more. Through intens
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Overview of Army Modeling and Simulation Office
The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod
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Understanding Computational Linguistics and Natural Language Processing
Explore the fascinating fields of Computational Linguistics and Natural Language Processing (NLP), delving into their development, applications, and significance. Learn about the study of human languages in computational models, the importance of corpora in linguistic research, and the various types
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Capacity Zone Modeling for Forward Capacity Auction 17 Results
This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr
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Distribution Feeder Modeling and Analysis Overview
This document delves into the modeling, optimization, and simulation of power distribution systems, specifically focusing on Distribution Feeder Modeling and Analysis. It covers the components of a typical distribution feeder, series components, Wye-Connected Voltage Regulator modeling, and equation
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Understanding Data Modeling vs Object Modeling
Data modeling involves exploring data-oriented structures, identifying entity types, and assigning attributes similar to class modeling in object-oriented development. Object models should not be solely based on existing data schemas due to impedance mismatches between object and relational paradigm
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Evolution of Modeling Methodologies in Telecommunication Standards
Workshop on joint efforts between IEEE 802 and ITU-T Study Group 15 focused on information modeling, data modeling, and system control in the realm of transport systems and equipment. The mandate covers technology architecture, function management, and modeling methodologies like UML to YANG generat
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Recent Advances in Computational Doppler Radar Data Modeling
Explore the latest developments in computational modeling of Doppler radar data, focusing on error estimation, dual vs. single pol radars comparison, uncertainty quantification, and methodology for analyzing Doppler radar predictions against gauge measurements. The study involves data from multiple
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Understanding Geometric Modeling in CAD
Geometric modeling in computer-aided design (CAD) is crucially done in three key ways: wireframe modeling, surface modeling, and solid modeling. Wireframe modeling represents objects by their edges, whereas surface modeling uses surfaces, vertices, and edges to construct components like a box. Each
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Mathematical Modeling and Error Analysis in Engineering
Mathematical modeling plays a crucial role in solving engineering problems efficiently. Numerical methods are powerful tools essential for problem-solving and learning. This chapter explores the importance of studying numerical methods, the concept of mathematical modeling, and the evaluation proces
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Introduction to Dynamic Structural Equation Modeling for Intensive Longitudinal Data
Dynamic Structural Equation Modeling (DSEM) is a powerful analytical tool used to analyze intensive longitudinal data, combining multilevel modeling, time series modeling, structural equation modeling, and time-varying effects modeling. By modeling correlations and changes over time at both individu
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Computational Photography: Texture Synthesis and Hole-Filling Overview
Delve into the world of texture synthesis and hole-filling in computational photography, exploring the challenges, goals, and techniques involved in creating new textures and filling in image gaps. Learn about building probability distributions, modeling textures, and the intricacies of synthesizing
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Understanding Object Modeling in Software Development
Object modeling is a crucial concept in software development, capturing the static structure of a system by depicting objects, their relationships, attributes, and operations. This modeling method aids in demonstrating systems to stakeholders and promotes a deeper understanding of real-world entitie
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Coupled Ocean-Atmosphere Modeling on Icosahedral Grids
Coupled ocean-atmosphere modeling on horizontally icosahedral and vertically hybrid-isentropic/isopycnic grids is a cutting-edge approach to modeling climate variability. The design goals aim to achieve a global domain with no grid mismatch at the ocean-atmosphere interface, with key indicators such
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Understanding Computational Complexity Through Statistical Physics
In the age of vast data growth, tackling complex computational problems is crucial. Statistical physics can provide insights into handling the new challenges arising from the exponential increase in data. As we delve into understanding the complexity of computational tasks, it becomes evident that e
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Introduction to Priority Search Trees in Computational Geometry
This lecture outlines the structure and query process of Priority Search Trees (PST) in computational geometry. It covers heap-based point queries, range trees for windowing queries, handling query ranges in 1D and 2D spaces, and using heaps to efficiently handle query ranges. The content discusses
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Fire and Smoke Modeling Evaluation Effort (FASMEE) Overview
FASMEE is a collaborative project aimed at assessing and advancing fire and smoke modeling systems through critical measurement techniques and observational data. Led by key technical leads, FASMEE focuses on diverse modeling areas such as fire growth, effects, coupled fire-atmosphere behavior, smok
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Advances in Aviation Fuel Surrogates and Computational Modeling
This study explores the formulation of petroleum and alternative jet fuel surrogates, coupling chemical kinetics with computational fluid mechanics for engine design, and the variability of aviation fuels. It delves into the concept of surrogate fuel models, previous research on jet fuel surrogates,
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Risk Assessment and Ventilation Modeling for Hydrogen Vehicle Repair Garages
This paper discusses the demand for additional maintenance facilities in hydrogen vehicle repair garages due to the increased use of hydrogen fuel cell electric vehicles. It highlights the need for ventilation and upgrades in existing facilities to handle hydrogen releases during maintenance. The ob
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Subarea and Highway Corridor Studies: Travel Demand Modeling and Refinements
In this lesson, we delve into subarea and corridor studies focusing on travel demand model refinements, highway network coding, corridor congestion relief, and trip assignment theory. Subarea modeling plays a crucial role in forecasting travel within smaller regions with detailed traffic patterns, t
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Essential Steps for Setting up a Modeling Study
Ensure clarity on modeling goals and uncertainties. Select sample areas strategically based on interest and available data. Determine appropriate resolution for modeling. Define variables to model and validate the model effectively. Assess sample data adequacy and predictor variables availability. E
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Water Storage Tanks Hydraulic Modeling and Water Quality Considerations
This presentation by Justine Carroll, P.E., Project Manager, focuses on the hydraulic modeling and water quality considerations related to water storage tanks. It covers topics such as water age evaluation, steady state modeling, extended period simulations, pump controls, demand patterns, EPS verif
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Advancing Computational Modeling for National Security and Climate Missions
Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re
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Flexible Framework for Stormwater Lids Modeling
A new flexible framework for forward and inverse modeling of stormwater lids is presented. It includes governing equations, hydraulic and contaminant transport, numerical methods, and demonstration cases for various green infrastructure components. The importance of different processes in modeling i
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Understanding Computational Biology: Proteins, DNA, RNA, Genetics, and Evolution
Computational Biology combines computational methods with molecular biology to solve biological problems. Explore topics like proteins, DNA, RNA, and genetics, learning about amino acids, nucleotides, and the genetic code. Understand the evolutionary processes of mutation and natural selection.
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Understanding Automated Speech Recognition Technologies
Explore the world of Automated Speech Recognition (ASR), including setup, basics, observations, preprocessing, language modeling, acoustic modeling, and Hidden Markov Models. Learn about the process of converting speech signals into transcriptions, the importance of language modeling in ASR accuracy
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Update on Modeling and Coordination Discussions
Weekly coordination calls with Ramboll and discussions with EPA OAQPS leads focused on Regional Haze and modeling adjustments. Final draft of procedures document with visibility projections and glide slope adjustments. Upcoming RTOWG meetings covering methodology, projections, and modeling evaluatio
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Importance of Data Modeling in Industrial Information Systems
Introduction to data modeling and design in Industrial Information Systems at King Saud University College of Engineering. The chapter covers the significance of data modeling, capturing data characteristics, structural information, and the role of databases and DBMS. Data modeling fills crucial gap
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Mega-Modeling for Big Data Analytics
Mega-Modeling is a comprehensive approach that encompasses model construction, evaluation, composition, evolution, and search to address challenges in various areas such as social and economic resilience, health, transportation, and energy management. The pillars of Mega-Modeling include Model-Drive
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Introduction to Computational Number Theory in Cryptography
Practical private-key cryptography can be done without advanced math, but understanding computational number theory is essential for public-key encryption. This field focuses on the computational difficulty of problems, analyzing algorithms' running times, classifying problems as easy or hard based
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Computational Tools in Planetary Astrophysics - Fall 2017
Explore a limited subset of computational tools in planetary astrophysics used for modeling planetary transits, secondary eclipses, phase curves, radial velocities, Bayesian parameter estimation, and atmospheric modeling. Tools include BATMAN, SPIDERMAN, RadVel, e.emcee, and Exo_Transmit, each servi
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Understanding the Essence of Computer Science and Computational Thinking
Delve into the fundamentals of Computer Science and Computational Thinking through chapters discussing the nature of science, predictions in physics, and the distinction between Computer Science and Computer Information Systems. Explore the relationships between Math, Physics, and Computer Science i
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Advancing Auditory Enhancement: Integrating Spleeter with Advanced Remixing Techniques in The Cadenza Challenge 2023
Our project for The Cadenza Challenge 2023 focused on improving audio for headphone users with hearing loss by integrating Spleeter's deep learning capabilities. We utilized N-ALR prescriptions, Butterworth bandpass filters, and Dynamic Range Compression to enhance audio quality. By leveraging advan
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NetLogo - Programmable Modeling Environment for Simulating Natural and Social Phenomena
NetLogo is a powerful and versatile programmable modeling environment created by Uri Wilensky in 1999. It allows users to simulate natural and social phenomena by giving instructions to multiple agents operating independently, making it ideal for modeling complex systems evolving over time. NetLogo
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North American Computational Linguistics Olympiad: A Competition for High School Students
The North American Computational Linguistics Olympiad (NACLO) is a competition for high school students interested in linguistics, languages, and computation. It consists of an Open Round in January and an Invitational Round in March, with no prerequisites needed. Participants tackle easy problems i
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Mississippi Center for Supercomputing Research (MCSR) Overview
The Mississippi Center for Supercomputing Research (MCSR) supports computational research in various fields like Chemistry, Bioinformatics, Physics, Engineering, and Computer Science for Mississippi IHLs. They provide training to optimize computational resources, offer classes for computational trai
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Exploring Computational Theories of Brain Function
In this series of images and text snippets, the discussion revolves around the emerging field of computational theories of brain function. Various aspects such as symbolic memories, the relationship between the brain and computation, the emergence of the mind from the brain, and computational thinki
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Computational Earth Science Course Overview
Explore the world of Computational Earth Science with Bill Menke as the instructor and Emily Glazer as the teaching assistant. The course aims to help you become proficient in applying Python-based computational methods to understand dynamic Earth Science phenomena. Through modeling, you will gain i
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