This presentation explores the modeling, optimization, and simulation techniques for power distribution systems. Topics covered include load definitions, demand factors, utilization factors, and load diversity. Examples and case studies are provided to illustrate these concepts. The content is based

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Explore modern threat modeling techniques for cloud systems at OWASP Sacramento's June 2023 event. Agenda includes community topics and more. Membership at Granite City offers workspace perks and access to exclusive events. Learn about threat modeling history and methodologies like STRIDE and PASTA.

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This information delves into the procedural safeguards for students with disabilities receiving special education services, covering topics such as laws governing procedural safeguards, parents' rights and responsibilities, abbreviation glossary, and the required Notice of Procedural Safeguards unde

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Point-of-care ultrasound (POCUS) is emerging as a potential tool for confirming endotracheal tube (ETT) positioning in neonates, providing a viable alternative to X-ray examination. The study aims to assess the accuracy of POCUS in determining ETT placement, particularly by using the superior aspect

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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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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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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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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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A soliloquy is a form of monologue where a character speaks to themselves, the audience, or a surrogate, revealing inner thoughts. This presentation explores different types of soliloquies and their significance in literary works, including examples from Shakespeare's Hamlet. Additionally, it delves

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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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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 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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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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European Patients Academy on Therapeutic Innovation explains how biomarkers are measurable indicators providing insights into health conditions. Biomarkers like glucose levels in diabetes management and MRI imaging for Multiple Sclerosis play crucial roles. The Academy aims to enhance the medicine d

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Explore the procedural safeguards, state complaint procedures, mediation, and due process in special education as outlined by the U.S. Department of Education. Learn about filing complaints, required content, and who can file a complaint. Get insights into the resolution process, surrogate parents,

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This content provides insights into CPSC 531: System Modeling and Simulation course, covering topics such as performance evaluation, simulation modeling, and terminology in system modeling. It emphasizes the importance of developing simulation programs, advantages of simulation, and key concepts lik

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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 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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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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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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The presentation discusses various endpoints in aortic valve development and Transcatheter Aortic Valve Replacement (TAVR) trials, including comparisons, study stages, and newer devices. It covers different trial populations, primary and secondary endpoints, and the evaluation of non-inferiority. Su

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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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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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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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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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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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The Texas Risk Reduction Program (TRRP) provides guidelines for managing Total Petroleum Hydrocarbons (TPH) in environmental assessments. Different regulations and programs govern TPH analysis depending on the source, with specific methods like TCEQ Method 1005 and 1006 used for TPH analysis and det

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This analysis delves into the challenges, strengths, weaknesses, and missing data in a clinical trial study focusing on rare diseases. It critiques aspects such as recruitment, study design, surrogate markers, and statistical analysis, offering valuable insights for interpreting clinical trial resul

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The research presented at the 18th Organic World Congress in Istanbul delves into the Sustainability and Organic Livestock (SOL-m) modeling approach developed by FAO and FiBL. The study aims to explore the potential impacts of global conversion to organic livestock production by 2050 on food securit

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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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Embryo transfer (ET) in cattle allows for the production of genetically superior offspring, increasing milk production and weaning weights. While offering advantages like rapid genetic improvement and flexibility in genetics transfer, ET also presents challenges such as increased costs and disease r

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Utilizing Bayesian optimization in ocean modeling, this research explores optimizing mixed layer parameterizations and turbulent kinetic energy closure schemes. It addresses challenges like expensive evaluations of objective functions and the uncertainty of vertical mixing, presenting a solution thr

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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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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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This research focuses on developing a systematic optimization model that incorporates a ReLU activation function-based neural network as input. The model generates a linear output that can be modeled as MILP and solved using a Mixed-Integer Programming approach. By producing scalable surrogate model

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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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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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Eugene J. Sullivan, MD, explains the importance of establishing efficacy in clinical trials based on substantial evidence from well-controlled trials. The discussion includes primary endpoints for Phase 3 trials, legal and regulatory requirements, and the significance of clinically meaningful effect

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The Animal Rule addresses the approval of new drugs when human efficacy studies are not possible. It serves as a surrogate for human studies, requiring well-controlled animal testing to predict clinical benefits in humans. Safety must still be demonstrated in human trials, and the rule can be bypass

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In the field of reservoir modeling, Gaussian mixture models offer a powerful approach to estimating rock properties such as porosity, sand/clay content, and saturations using seismic data. This analytical solution of the Bayesian linear inverse problem provides insights into modeling reservoir prope

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