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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Petri nets are a powerful modeling tool characterized by their asynchronous state transitions, making them ideal for representing concurrent and distributed systems. Originating from Carl Adam Petri's work in the 1960s, Petri nets have found diverse applications in fields such as computer science an

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The natural history of disease development outlines the progression of a disease in an individual without intervention, from exposure to outcome. Learning objectives include defining prevention terms, understanding disease severity, prevention levels, and intervention measures. Studying disease prog

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Epidemiology is the study of disease patterns, factors influencing disease occurrence, and the core functions of surveillance, field investigation, and analytic studies. It involves understanding disease characteristics, natural history, and evaluating the effectiveness of activities to mitigate dis

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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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Tyzzer's disease is an acute bacterial infection affecting rodents and rabbits, caused by Clostridium piliforme. Discovered in 1917 by Ernest Tyzzer, the disease is characterized by necrotic lesions in the caecal mucosa, liver, and heart. Initially known as Bacillus piliformis, it was later renamed

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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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This article discusses disease control processes in epidemiology, including reducing disease incidence, duration, and transmission. It covers public policy interventions, elimination, eradication, and extinction of infectious agents. It also highlights preventable causes of disease and different lev

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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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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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Patients with coronary artery disease should be screened for peripheral vascular disease as it is a frequent integrator of global cardiovascular risk. The association of atherosclerosis in various arterial diseases highlights the importance of identifying multisite artery disease. The prevalence and

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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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The Human Disease Symptom Network (HSDN) is constructed using a large-scale medical bibliographic records database to form a network of human diseases based on symptom similarities. By integrating disease-gene associations and protein-protein interaction data, correlations between symptom similarity

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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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Columnaris disease, also known as Saddleback disease, is a common bacterial infection in fish that is often brought about by poor handling and high stress levels. This disease manifests as tail and fin rot, leading to rapid fish mortality. The causative organism, Cytophaga (formerly Flexibacter), is

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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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Explore the latest findings from the Alzheimer's Disease Genetics Symposium 2019 on disease mechanisms, drug targets, and genetic pathways. Dive into the progress made by the Alzheimer's Disease Genetics Consortium over the past decade. Transition to a Genome-Wide Association Study uncovering suscep

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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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Dr. Somen Banerjee, Director of Public Health in London Borough Tower Hamlets, highlights the concerning liver disease mortality rates in the area, with high incidence of cirrhosis, cancer, and hepatitis B and C. The data reveals a significant burden of liver diseases such as Non-Alcoholic Fatty Liv

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Inflammatory Bowel Disease (IBD) encompasses Crohn's disease (CD) and ulcerative colitis (UC), chronic conditions with immunologic basis. This article delves into the epidemiology, pathophysiology, and differences between CD and UC, highlighting clinical features, pathology, and complications like a

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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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Fabry's disease is a rare X-linked lipid storage disorder characterized by deficient lysosomal alpha-galactosidase A activity. This condition primarily affects males, leading to chronic kidney disease and progression to end-stage renal disease. Kidney involvement is a critical aspect, and high doses

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Explore MIST, a Python framework supporting chronic disease modeling with High Performance Computing. Learn about its features, installation on Ubuntu/Linux and Windows, activation, and a simple disease model example. Access MIST on GitHub for free, and delve into the world of microsimulation for pr

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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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Viral pathogenesis involves the process by which a virus leads to disease, exploring the interplay between viral and host factors. It encompasses the concepts of virulence, viral disease, and the effects on infected cells and the host's immune response. Changes within infected cells, including cell

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