Insights into 5G NSA Deployment and Performance in Rome
Explore the transition from 4G to 5G, specifically focusing on the deployment and performance of 5G Non-Standalone (NSA) networks in Rome, Italy. Detailed analysis includes coverage, application performance, and empirical data from large-scale measurement campaigns conducted by four Mobile Network O
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Procedure for Quantifying Interlaminar Damage in Refractory Composites Using Micro-X-Ray CT
This study presents a method to quantify interlaminar damage in refractory composites through in-situ micro-X-ray computed tomography. The procedure aims to capture the progressive failure in ASTM-sized specimens, providing empirical data for improving simulations of composite materials. Various spe
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Understanding Social Science Research for Non-Social Scientists at University of Bath
This resource delves into social science research fundamentals, encompassing types of inquiry, empirical research categories, primary and secondary research distinctions, and the importance of selecting a suitable research topic. It offers guidance on initiating research based on empirical observati
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Understanding Algorithm Efficiency Analysis
In this chapter, Dr. Maram Bani Younes delves into the analysis of algorithm efficiency, focusing on aspects such as order of growth, best case scenarios, and empirical analysis of time efficiency. The dimensions of generality, simplicity, time efficiency, and space efficiency are explored, with a d
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Overview of Semi-Empirical Methods Based on Hartree-Fock
Semi-empirical methods derived from Hartree-Fock theory aim to reduce computational effort by approximating or eliminating electron repulsion integrals. Strategies include introducing adjustable parameters to replace ERI calculations and utilizing zero differential overlap methods like CNDO, INDO, N
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Parallel Implementation of Multivariate Empirical Mode Decomposition on GPU
Empirical Mode Decomposition (EMD) is a signal processing technique used for separating different oscillation modes in a time series signal. This paper explores the parallel implementation of Multivariate Empirical Mode Decomposition (MEMD) on GPU, discussing numerical steps, implementation details,
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Understanding Percent Composition and Empirical Formulas in Chemistry
The Law of Definite Proportions governs the composition of compounds based on molar masses, allowing us to calculate percentage compositions of elements within a compound. Through examples involving various compounds like Fe3C, sulfur dioxide, ammonium nitrate, glucose, and acetic acid, we explore t
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Insights from Co-Editing the British Journal of Educational Technology
Co-editor's experience at the British Journal of Educational Technology, highlighting the journal's focus on theoretical perspectives, methodological developments, and empirical research in educational technology. Details on the publication process, criteria for submission, and key themes explored b
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Empirical Research on Surrogacy in New Zealand: Key Findings
Associate Professor Debra Wilson from the University of Canterbury in New Zealand conducted empirical research on public opinions regarding surrogacy. The findings revealed three surprising results, including perspectives on surrogates being compensated, the importance of genetics in surrogacy arran
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Generalization of Empirical Risk Minimization in Stochastic Convex Optimization by Vitaly Feldman
This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised
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Empirical Analysis of Kuwaiti Dinar Exchange Rate Behavior and Misalignment
This research focuses on studying the behavior of the real equilibrium exchange rate (REER) of Kuwaiti Dinars, estimating the equilibrium exchange rate using the BEER model, and calculating real exchange misalignments (RERM). It delves into the impact of exchange rate fluctuations on macroeconomic v
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History of Chemotherapy: From Empirical Use to Modern Era
The history of chemotherapy is divided into three phases, starting from the empirical use of compounds in ancient times to the modern era marked by targeted drug development. Ehrlich's pioneering work in the late 19th to early 20th centuries laid the foundation for understanding the selective toxici
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Understanding Contracts Law in Action
Explore the intricate world of contracts law through the lens of real-life applications and empirical insights. Delve into the nuanced interactions and influences that shape legal decisions, with a focus on the interplay between public and private actors. Gain a deeper understanding of the complex d
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Role of Institutional Quality on Remittances and Economic Growth in Sub-Saharan Africa
The study explores the impact of institutional quality, both financial and non-financial, on the relationship between remittances and economic growth in Sub-Saharan Africa. It delves into how factors like control of corruption, political stability, rule of law, and democratic accountability influenc
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Empirical Study on CSS Preprocessors: Insights and Findings
Exploring the utilization of CSS preprocessors in web development through an empirical study conducted by Davood Mazinanian and Nikolaos Tsantalis from Concordia University. The study delves into the motivations behind using CSS preprocessors, developers' preferences, features offered by preprocesso
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Empirical Evaluation of De Goede Learning Potential Model
This research paper focuses on the modification and extension of the De Goede Learning Potential Structural Model, aiming to identify non-cognitive variables influencing learning potential. Through model development, hypothesis testing, and empirical evaluation, the study explores factors such as In
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Understanding Research Design in Botany: An Overview
Explore the fundamentals of research design in botany through topics like introduction, parts, features, and importance. Learn about the meaning of research, problem formulation, data collection, and different types of research approaches such as descriptive, applied, quantitative, and qualitative.
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Analysis of Banking Crises: Deregulation, Credit Booms, and Global Impacts
This study delves into the causes and patterns of banking crises, focusing on deregulation, credit booms, and asset bubbles. It compares the global financial crisis of 2008-2009 with historical crises worldwide, highlighting common factors leading to such events. The research discusses the role of l
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Understanding Empirical vs Analytical Expressions in Natural Language Processing
Restricted quantifiers and literal analysis in natural language processing reveal the distinctions between empirical and analytical expressions. While empirical expressions refer to non-trivial intensions that require empirical investigation, analytical expressions denote constant intensions that ca
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Intertemporal Choice and Behavioral Economics Overview
Explore present-focused models, empirical regularities, and open questions related to intertemporal choice in behavioral economics. Concepts like hyperbolic discounting, dual-self models, psychometric distortions, and myopia are discussed using insights from prominent figures like David Hume, Plato,
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Choices in Measurement Design and National Poverty Assessment
This content discusses normative choices in measurement design, normative reasoning, relevance, usability, essential choices for creating an Alternative Poverty Measure (AF Measure), alongside measurement design considerations, and a purpose statement for a National MPI. It emphasizes the importance
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The Role of Literature in Academic Disciplines: Insights from Finance
Explore how literature is used in the finance discipline, focusing on theoretical analyses, empirical investigations, and testing theories in the real world. Understanding existing literature helps in classification, familiarity, and replication, essential for advancing knowledge in finance.
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Exploring RNNs and CNNs for Sequence Modelling: A Dive into Recent Trends and TCN Models
Today's presentation will delve into the comparison between RNNs and CNNs for various tasks, discuss a state-of-the-art approach for Sequence Modelling, and explore augmented RNN models. The discussion will include empirical evaluations, baseline model choices for tasks like text classification and
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Understanding Descriptive Statistics in Data Analysis
Descriptive statistics provide a vital framework for analyzing data by focusing on three key characteristics: measures of center, dispersion, and shape. Standard deviation, a fundamental measure, helps assess variability in distributions through the Empirical Rule and Chebyshev's Theorem. These prin
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Empirical Credit Risk Management at FMB Group Credit Union
Empirical Credit-Risk Management (ECM) presentation to FMB Group Credit Union by Financial Analytics Ltd discusses the background, traditional forecasting methods, income and risk recognition, provisioning approaches, and benefits for credit unions. ECM offers expert retail credit risk management th
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Recombination and Novelty in Social Protest: Insights and Implications
Exploring the concept of tactical innovation in social movements, this material delves into the dynamics of actors forging new relationships and transforming resources into novel ideas. It examines past explanations of tactical innovation and poses open empirical questions about novelty and tipping
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Impact of ZLECAf in North Africa: Empirical Evaluation
The Economist, Aziz Jaid, from the CEA Bureau for North Africa conducted an empirical evaluation on the impact of the ZLECAf in North Africa, focusing on goods. The context includes coverage of seven countries, the rationale behind the ZLECAf agreement, and details on the liberalization scenarios an
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Insights into Low-Carbon Lifestyles and Modeling Change
Conducting a large-scale review of literature on lifestyles revealed key insights for low-carbon research, spanning health, marketing, and environmental domains. Through the development of a conceptual framework and empirical application across four countries, the interplay between cognitions and be
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Understanding Auction Design: Empirical Analysis and Practical Insights
Auctions play a crucial role in various sectors due to their efficiency in price discovery and resource allocation. This article delves into auction design issues, the role of structural analysis, and the transformative Laffont program. Discover the importance of empirical analysis in optimizing auc
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Understanding Percent Composition and Empirical Formulas
Explore the concept of percent composition, empirical formulas, and how to determine them through examples. Learn how to convert percentages to grams, calculate moles, and find the simplest ratio among elements in a compound.
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An Empirical Study of Delay Jitter Management Policies
This study explores delay jitter management policies to support interactive audio over LANs, focusing on display queue management to minimize gaps in playout. The paper evaluates different queue management policies, including I-policy and E-policy, along with queue monitoring in the context of an em
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Decoupling Learning Rates Using Empirical Bayes: Optimization Strategy
Decoupling learning rates through an Empirical Bayes approach to optimize model convergence: prioritizing first-order features over second-order features improves convergence speed and efficiency. A detailed study on the impact of observation rates on different feature orders and the benefits of seq
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Bayesian Meta-Prior Learning Using Empirical Bayes: A Framework for Sequential Decision Making Under Uncertainty
Explore the innovative framework proposed by Sareh Nabi at the University of Washington for Bayesian meta-prior learning using empirical Bayes. The framework aims to optimize ad layout and classification problems efficiently by decoupling learning rates of model parameters. Learn about the Multi-Arm
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Investigating Dividend Smoothing: Theoretical & Empirical Analysis
Dividend smoothing behavior in corporate finance is investigated through the partial adjustment and information content hypotheses. A new integrated model is proposed to evaluate dividend smoothing behaviors, contributing to a deeper understanding of firm tendencies to smooth dividends. Empirical ev
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The Interplay Between Theoretical Psychology and Empirical Research
Exploring the potential for collaboration between philosophy, theoretical psychology, and empirical research, this article delves into the historical divide, recent renaissance, and avenues for mutual enrichment. It raises questions about how each discipline can contribute to and benefit from the ot
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Insights into Publishing in HERD: Webinar Series Summary
In the HERDSA Webinar Series, Wendy Green, Kathleen Tait, and Jisun Jung shed light on publishing in HERD. They discuss what editors and reviewers look for, how to select the right journal for your paper, and common reasons for paper rejections. HERD, a Q1 journal, has been influencing higher educat
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Empirical Formulation for Ice Crystal Fragmentation by Sublimation Breakup Study
This study by Akash Deshmukh at Lund University delves into the empirical formulation for the number of ice crystal fragments resulting from sublimation breakup. It discusses secondary ice production mechanisms, challenges in numerical formulation, observational bases, previous studies, and cloud de
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Spatial Externalities of Technological Innovation and Economic Growth: Empirical Study
This study explores the spatial externalities of technological innovation and economic growth, focusing on the convergence of growth rates in different regions. It delves into the impact of knowledge capital, patents, human capital, and internet development on regional growth rates. Various theories
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Empirical Studies on Intertemporal Choice by David Laibson
This collection of empirical studies explores intertemporal choice behavior, focusing on preference reversals, commitment, and other related concepts. The studies reveal how individuals exhibit time-inconsistent preferences when making decisions about future and present outcomes, showcasing examples
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Estimation Models in Software Development
Empirical Estimation Models like COCOMO and Constructive Cost Model play a crucial role in estimating software project efforts based on various factors such as lines of code (LOC) and function points (FP). These models provide a structured approach to predict project duration, effort, and team size.
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