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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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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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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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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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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Features of an Appropriate Capital Structure and Optimum Capital Structure
While developing a suitable capital structure, the financial manager aims to maximize the long-term market price of equity shares. An appropriate capital structure should focus on maximizing returns to shareholders, minimizing financial insolvency risk, maintaining flexibility, ensuring the company
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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 Fluid Mosaic Model of Plasma Membrane Structure
The fluid mosaic model proposed by S.J. Singer and Garth L. Nicolson describes the structure of the plasma membrane as a fluid combination of phospholipids, cholesterol, proteins, and carbohydrates. This model explains how phospholipids form a stable barrier, the role of saturated and unsaturated fa
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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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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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Energy Sector Model Structure and Commodity Abbreviations
This content showcases the template model energy system structure customizable for country projects, focusing on the power sector and providing simplified demand and supply representations. It also details the energy sector model structure encompassing various sectors, commodities, and abbreviations
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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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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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Overview of BSAI Pacific Ocean Perch Model Structure and Recent Developments
The BSAI Pacific Ocean Perch assessment model has evolved over the years, with a history dating back to pre-2000. Recent developments include the combination of separate models for AI and EBS, adjustments to age error matrices, and enhancements in handling composition data. The model structure focus
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Conceptual Model for Hydrometeor Structure of Mesoscale Convective Systems during MJO Active Stage
This study presented a conceptual model for characterizing the hydrometeor structure of Mesoscale Convective Systems (MCSs) during the Madden-Julian Oscillation (MJO) active stage. The research focused on the kinematic structure of MCSs and utilized radar data, compositing methodology, and convectiv
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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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Knowledge Graph Completion Model Integrating Entity Description and Network Structure at EEKE2021
EEKE2021 presented a model that integrates entity description and network structure to enhance knowledge graph completion (KGC). The model aims to predict missing information in the graph by considering various sources of data beyond the traditional triple structure. It discusses related work, resea
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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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Understanding DNA Structure and Denaturation Process
DNA is a double helical structure made of 2 antiparallel polynucleotide chains with nucleotide monomers. The structure contains deoxyribose sugar, phosphate groups, and nitrogenous bases (purines and pyrimidines). Hydrogen bonds between base pairs stabilize the structure. Denaturation can occur due
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Protein Secondary Structure Prediction: Insights and Methods
Accurate prediction of protein secondary structure is crucial for understanding tertiary structure, predicting protein function, and classification. This prediction involves identifying key elements like alpha helices, beta sheets, turns, and loops. Various methods such as manual assignment by cryst
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Understanding the Hierarchy of Protein Structure
To understand proteins' final shape and function, one must grasp the primary, secondary, tertiary, and quaternary structure levels. Proteins, composed of amino acids, fold into various shapes crucial for their roles such as signaling, catalysis, and structure. The primary structure represents the am
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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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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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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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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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Predicting Number of Crew Members on Cruise Ships Using Regression Model
This analysis involves building a regression model to predict the number of crew members on cruise ships. The dataset includes information on 158 cruise ships with potential predictor variables such as age, tonnage, passengers, length, cabins, and passenger density. The full model with 6 predictors
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Efficient Image Compression Model to Defend Adversarial Examples
ComDefend presents an innovative approach in the field of computer vision with its efficient image compression model aimed at defending against adversarial examples. By employing an end-to-end image compression model, ComDefend extracts and downscales features to enhance the robustness of neural net
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Understanding Model Bias and Optimization in Machine Learning
Learn about the concepts of model bias, loss on training data, and optimization issues in the context of machine learning. Discover strategies to address model bias, deal with large or small losses, and optimize models effectively to improve performance and accuracy. Gain insights into splitting tra
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Analysis of Multi-Wall Penetration Loss Model for HEW System-Level Simulation
In December 2014, a multi-wall penetration loss model for HEW system-level simulation was proposed by Kejun Zhao, Yunxiang Xu, and Xiaoyuan Lu from the National Engineering Research Center for Broadband Networks & Applications. The model provides more accurate calculations of penetration loss in ind
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Understanding the Waterfall Model in Software Development
The Waterfall Model is a linear-sequential life cycle model for software development. In this model, each phase must be completed before the next can begin, without overlaps. The sequential phases include Requirement Gathering, System Design, Implementation, Integration and Testing, Deployment, and
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Neural Image Caption Generation: Show and Tell with NIC Model Architecture
This presentation delves into the intricacies of Neural Image Captioning, focusing on a model known as Neural Image Caption (NIC). The NIC's primary goal is to automatically generate descriptive English sentences for images. Leveraging the Encoder-Decoder structure, the NIC uses a deep CNN as the en
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