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Model Literasi Informasi dan Perumusan Masalah dalam Desain Komunikasi Visual

Materi ini membahas model literasi informasi, langkah-langkahnya, serta perumusan masalah dalam konteks Desain Komunikasi Visual. Mahasiswa akan mempelajari berbagai keterampilan dan langkah dalam mengolah informasi, merumuskan masalah, dan menentukan sudut pandang. Model-model literasi informasi se

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Lewis Two-Sector Model: Sustaining Economic Growth Through Labor Transfer

Lewis Two-Sector Model, based on the assumption of surplus labor in agriculture, explains how transferring labor to the industrial sector boosts economic growth. The model highlights the shift from traditional to modern sectors, increased output, wages, and profits, and self-sustaining growth capabi

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Building a Macrostructural Standalone Model for North Macedonia: Model Overview and Features

This project focuses on building a macrostructural standalone model for the economy of North Macedonia. The model layout includes a system overview, theory, functional forms, and features of the MFMSA_MKD. It covers various aspects such as the National Income Account, Fiscal Account, External Accoun

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NAMI Family Support Group Model Overview

This content provides an insightful introduction to the NAMI family support group model, emphasizing the importance of having a structured model to guide facilitators and participants in achieving successful support group interactions. It highlights the need for a model to prevent negative group dyn

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Urban Development Models: Burgess and Hoyt

The Burgess concentric ring model and Hoyt sector model are key frameworks explaining urban social structures. Burgess's model illustrates urban land use in rings around the CBD, while Hoyt's model emphasizes outward growth along transportation arteries. Criticisms include applicability limitations

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Understanding Automotive Knowledge Model (AKM) for Automobiles

Automotive Knowledge Model (AKM) is an expressive and extensible vocabulary and data model that provides semantics and standards-based signals, metrics, DIDs, and DTCs for automobiles. This model includes sample signals like HVAC station temperature settings and features a comprehensive data structu

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Understanding the Biopsychosocial Model of Healthcare: Insights from Dr. Caryl Sibbett

Exploring the biopsychosocial model of healthcare through the work of Dr. Caryl Sibbett at Kairos Consultancy in 2020. This model emphasizes the interconnected aspects of biology, psychology, and social factors in understanding and treating disease. It challenges the dominance of the biomedical mode

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Porter's Diamond Model for International Competitiveness

Porter's Diamond model explains the factors influencing the competitiveness of an industry internationally, focusing on firm strategy, structure, and rivalry; factor conditions; demand conditions; and related and supporting industries specific to each country. These elements shape how organizations

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Overview of EV Infrastructure Load Model (EVIL) by Alexander Lonsdale

The EVIL model, developed by ADM, provides hourly electricity load shapes for transportation in commercial and residential sectors. It uses R executable scripts and static outputs to drive model output, facilitating scenario building for utility rate structures and energy forecasts. The model functi

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A Unified Approach to Interpreting Model Predictions

Unified methodology for interpreting model predictions through additive explanations and Shapley values. It discusses the relationship between Additive Explanations and LIME, introduces Shapley values, approximations, experiments, and extensions in model interpretation. The approach unifies various

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Restructuring of USACE HEC-HMS Meteorologic Model

Significant modifications have been made to the HEC-HMS meteorologic model to enhance modeling tasks' ease and intuitiveness. The Met Model Restructure updates in versions 4.9 to 4.11 streamline meteorologic processes, introduce new features like automatic linkages and zonal editors for snowmelt, an

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Socio-technical Energy Transition Modelling: The TEMPEST Model

A simulation model, TEMPEST, incorporating societal and political factors, evaluates UK energy transition under three global SSPs. It analyzes the importance of political capital and societal preferences in adopting mitigation measures. The model's results are compared to the IMAGE model, suggesting

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Understanding Entity-Relationship Model in Database Systems

This article explores the Entity-Relationship (ER) model in database systems, covering topics like database design, ER model components, entities, attributes, key attributes, composite attributes, and multivalued attributes. The ER model provides a high-level data model to define data elements and r

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Communication Models Overview

The Shannon-Weaver Model is based on the functioning of radio and telephone, with key parts being sender, channel, and receiver. It involves steps like information source, transmitter, channel, receiver, and destination. The model faces technical, semantic, and effectiveness problems. The Linear Mod

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Understanding Atomic Structure: Electrons, Energy Levels, and Historical Models

The atomic model describes how electrons occupy energy levels or shells in an atom. These energy levels have specific capacities for electrons. The electronic structure of an atom is represented by numbers indicating electron distribution. Over time, scientists have developed atomic models based on

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Understanding ROC Curves and Operating Points in Model Evaluation

In this informative content, Geoff Hulten discusses the significance of ROC curves and operating points in model evaluation. It emphasizes the importance of choosing the right model based on the costs of mistakes like in disease screening and spam filtering. The content explains how logistical regre

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Understanding the OSI Model and Layered Tasks in Networking

The content highlights the OSI model and layered tasks in networking, explaining the functions of each layer in the OSI model such as Physical Layer, Data Link Layer, Network Layer, Transport Layer, Session Layer, Presentation Layer, and Application Layer. It also discusses the interaction between l

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Regression Diagnostics for Model Evaluation

Regression diagnostics involve analyzing outlying observations, standardized residuals, model errors, and identifying influential cases to assess the quality of a regression model. This process helps in understanding the accuracy of the model predictions and identifying potential issues that may aff

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Exploring Class Design in Java Programming: Coupling, Cohesion, RDD, and Refactoring

Delve into the world of Java programming with a focus on class design principles such as coupling, cohesion, responsibility-driven design (RDD), and refactoring. Understand the importance of good design for code quality, ease of debugging, maintenance, and reusability. Dive into the adventure of Zuu

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MFMSA_BIH Model Build Process Overview

This detailed process outlines the steps involved in preparing, building, and debugging a back-end programming model known as MFMSA_BIH. It covers activities such as data preparation, model building, equation estimation, assumption making, model compilation, and front-end adjustment. The iterative p

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Proposal for Radio Controlled Model Aircraft Site Development

To establish a working relationship for the development of a site suitable for radio-controlled model aircraft use, the proposal suggests local land ownership with oversight from a responsible agency. Collins Model Aviators is proposed as the host club, offering site owner liability insurance throug

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UBU Performance Oversight Engagement Framework Overview

Providing an overview of the UBU Logic Model within the UBU Performance Oversight Engagement Framework, this session covers topics such as what a logic model is, best practice principles, getting started, components of the logic model, evidence & monitoring components, and next steps. The framework

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Regression Model for Predicting Crew Size of Cruise Ships

A regression model was built to predict the number of crew members on cruise ships using potential predictor variables such as Age, Tonnage, Passenger Density, Cabins, and Length. The model showed high correlations among predictors, with Passengers and Cabins being particularly problematic. The full

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Understanding Regression Discontinuity Designs in Applied Economic Research

Regression Discontinuity Designs (RDD) allow for estimating causal treatment effects in non-experimental settings by exploiting precise rules determining treatment. This design provides good internal validity but limited external validity. RDD is well-suited for analyzing quasi experiments near know

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Exact Byzantine Consensus on Undirected Graphs: Local Broadcast Model

This research focuses on achieving exact Byzantine consensus on undirected graphs under the local broadcast model, where communication is synchronous with known underlying graphs. The model reduces the power of Byzantine nodes and imposes connectivity requirements. The algorithm involves flooding va

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Comparison of Random-Digit Dial vs. Web Panel Employment Survey Samples

This study compares samples from random-digit dialing (RDD) and web-based panel surveys in employment data collection. Findings highlight differences in demographics, age distribution, race composition, and regional representation between the two survey methods. The goal is to assess survey accuracy

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Calibration of Multi-Variable Rainfall-Runoff Model Using Snow Data in Alpine Catchments

Explore the calibration of a conceptual rainfall-runoff model in Alpine catchments, focusing on the importance of incorporating snow data. The study assesses the benefits of using multi-objective approaches and additional datasets for model performance. Various aspects such as snow cover, groundwate

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Understanding Asp.Net Core MVC - Building Web Applications with Model-View-Controller Pattern

Asp.Net Core MVC is a framework for building web applications based on the Model-View-Controller pattern. The model manages application data and constraints, views present application state, and controllers handle requests and actions on the data model. Learn about the MVC structure, life cycle, mod

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Challenges in RDD Telephone Surveys for Young Adults: Item Nonresponse and Coverage Implications

This research study conducted in Quebec, Canada, in 2011 focused on the challenges faced in RDD telephone surveys, specifically targeting young adults. It discussed issues such as decreasing coverage due to wireless-only households, nonresponse rates, and the impact of emerging trends on survey meth

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Understanding X-CAPM: An Extrapolative Capital Asset Pricing Model

This paper discusses the X-CAPM model proposed by Barberis et al., which addresses the challenges posed by investors with extrapolative expectations. The model analytically solves a heterogeneous agents consumption-based model, simulates it, and matches various moments. It explores how rational inve

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Innovation and Social Entrepreneurship Initiatives in Higher Education

This project focuses on establishing a leading center for promoting innovation and social entrepreneurship within higher education institutions. It aims to encourage students and staff to develop creative solutions for community challenges, expand social involvement, and foster sustainable positive

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Principles of Econometrics: Multiple Regression Model Overview

Explore the key concepts of the Multiple Regression Model, including model specification, parameter estimation, hypothesis testing, and goodness-of-fit measurements. Assumptions and properties of the model are discussed, highlighting the relationship between variables and the econometric model. Vari

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Cautionary Tale: Internet Surveys for Identifying People with Disabilities

Internet surveys offer advantages over traditional methods like Random Digit Dial (RDD) surveys for identifying people with disabilities, including cost-effectiveness and flexibility. However, caution is needed due to potential pitfalls such as non-response rates and uncertain sample quality. Variou

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Cognitive Model of Stereotype Change: Three Models Explored

The Cognitive Model of Stereotype Change, as researched by Hewstone & Johnston, delves into three key models for altering stereotypical beliefs: the bookkeeping model, the conversion model, and the subtyping model. These models suggest strategies such as adding or removing features to shift stereoty

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Harnessing RDD in Program Evaluation: An R Simulation

Explore the application of Regression Discontinuity Design (RDD) for program evaluation through an institutional simulation in R. The study by Gabe Avakian Orona delves into the intricacies of RDD methodology and showcases how to implement it using the statistical tool R. Gain insights into leveragi

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Understanding Bohr's Model of the Hydrogen Atom

Exploring the significance of Bohr's hydrogen model in physics, this lecture delves into the Bohr radius, the correspondence principle, and the success and limitations of his model. Discover how characteristic X-ray spectra contribute to our understanding of atomic structures, leading to the conclus

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Overview of RegCM4 Model Features

RegCM4 is a community model developed since the 1980s, with over 800 scientists contributing to its advancements. It features a fully compressible, rotating frame of reference and a limited area dynamical core based on the Penn State/NCAR Mesoscale Model 5 (MM5). The model uses hydrostatic and nonhy

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Connecting Spark to Files Containing Data - Overview of RDD Model Expansion

Today's lecture explores the evolution of Spark from its inception at Berkeley to its widespread adoption globally. The focus is on the RDD model, which has transitioned into a full programming language resembling SQL, Python, or Scala. Examples of RDD programming at Cornell and in industry settings

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Understanding Topological Sorting in Spark GraphX

Explore the essential concepts of Topological Sorting in Spark GraphX, including necessary background knowledge, stand-alone versus distributed implementations, and practical examples. Delve into Spark GraphX's capabilities, such as RDD manipulation, high-level tools, and graph parallel computation.

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Understanding Entity-Relationship Model in Databases

The Entity-Relationship Model (E/R Model) is a widely used conceptual data model proposed by Peter P. Chen. It provides a high-level description of the database system during the requirements collection stage. Entities represent things of independent existence, each described by a set of attributes.

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