Search

Author

Subject

Date issued

Has File(s)

Search Results

Results 491-500 of 2278 (Search time: 0.021 seconds).
    • Financial inclusion and business practices of microbusiness in Colombia
    Authors: Juan Carlos, Urueña-Mejía; Luis H., Gutierrez; Paul, Rodríguez-Lesmes;  Advisor: -;  Co-Author: - (2023)

    Financial inclusion is known to be relevant for improving the growth perspectives of microbusinesses. This research has three aims. First, to explore how adopting business practices can impact the usage of financial products and services of these firms. Second, to determine if higher levels of microbusinesses’ formalization mediate the impact. Third, to establish if there are differences according to gender and education level. A structural equation model was estimated to test these hypotheses while considering the potential endogeneity of the main variables of interest. The model includes latent variables modeled in the form of confirmatory factor analysis. Estimates are based on self-reported information collected through a survey of 1542 microentrepreneurs in 10 Colombian cities ...
    • Continuous models combining slacks-based measures of efficiency and super-efficiency
    Authors: Vicente J., Bolós; Rafael, Benítez; Vicente, Coll-Serrano;  Advisor: -;  Co-Author: - (2023)

    In the framework of data envelopment analysis (DEA), Tone (Eur J Oper Res 130(3):498–509, 2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency scores, unlike classical radial efficiency models. Next, Tone (Eur J Oper Res 143(1):32–41, 2002) developed the SBM super-efficiency model in order to differentiate and rank efficient DMUs, whose SBM efficiency scores are always 1.
    • Housing prices in Spain: convergence or decoupling?
    Authors: Corinna, Ghirelli; Danilo, Leiva-León; Alberto, Urtasun;  Advisor: -;  Co-Author: - (2023)

    In this article, we measure changes in the synchronization of housing price cycles across Spanish cities over time. We rely on a regime-switching framework that identifies the housing price cycles of pairs of cities and simultaneously infers the evolving relation between those cycles. These bilateral relationships are then summarized into an aggregate index of city-level housing cycle synchronization. The estimates suggest that Spanish housing prices have followed a convergence pattern that reached a peak in 2009 and decreased slightly afterward. We also identify the cities that have been the main contributors to this convergence process. Moreover, we show that differences in population growth and economic structure are key factors in explaining the evolution of housing price synchr...
    • Nuclear Power Plants
    Authors: Awwad, Nasser;  Advisor: -;  Co-Author: - (2021)

    This book focuses on the hot topics related to nuclear power plants. The first of these hot topics is how to use nuclear power plants to generate electric energy using nuclear fuel such as Uranium Oxide (UOX). The second hot topic provides an advanced level of understanding of the complete fuel cycle by following nuclear fuel from its origin and fabrication, through its stay in the reactor with all alterations induced there, and ending with reprocessing options and waste management issues for the spent nuclear fuel. In other words; “Nuclear Power Plants - Processes in the Nuclear Fuel Cycle”
    • Developing Graphics Frameworks with Python and OpenGL
    Authors: Stemkoski, Lee;  Advisor: -;  Co-Author: - (2021)

    Developing Graphics Frameworks with Python and OpenGL shows you how to create software for rendering complete three-dimensional scenes. The authors explain the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive computer-generated worlds. You will learn how to combine the power of OpenGL, the most widely adopted cross-platform API for GPU programming, with the accessibility and versatility of the Python programming language. Topics you will explore include generating geometric shapes, transforming objects with matrices, applying image-based textures to surfaces, and lighting your scene. Advanced sections explain how to implement procedurally generated textures, postprocessing effects, and ...
    • Diversity in Computer Science
    Authors: Bjørn, Pernille; Blanco, Maria Menendez; Borsotti, Valeria;  Advisor: -;  Co-Author: - (2023)

    This is an open access book that covers the complete set of experiences and results of the FemTech.dk research which we have had conducted between 2016-2021 – from initiate idea to societal communication. Diversity in Computer Science: Design Artefacts for Equity and Inclusion presents and documents the principles, results, and learnings behind the research initiative FemTech.dk, which was created in 2016 and continues today as an important part of the Department of Computer Science at the University of Copenhagen’s strategic development for years to come. FemTech.dk was created in 2016 to engage with research within gender and diversity and to explore the role of gender equity as part of digital technology design and development. FemTech.dk considers how and why computer science ...
    • A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning
    Authors: Paul K., Mvula; Paula, Branco; Guy-Vincent, Jourdan;  Advisor: -;  Co-Author: - (2023)

    In Machine Learning, the datasets used to build models are one of the main factors limiting what these models can achieve and how good their predictive performance is. Machine Learning applications for cyber-security or computer security are numerous including cyber threat mitigation and security infrastructure enhancement through pattern recognition, real-time attack detection, and in-depth penetration testing. Therefore, for these applications in particular, the datasets used to build the models must be carefully thought to be representative of real-world data.
    • Automatic facial emotion recognition at the COVID-19 pandemic time
    Authors: Giovanna, Castellano; Nicola, Macchiarulo; Berardina De, Carolis;  Advisor: -;  Co-Author: - (2023)

    People use various nonverbal communicative channels to convey emotions, among which facial expressions are considered the most important ones. Thus, automatic Facial Expression Recognition (FER) is a fundamental task to increase the perceptive skills of computers, especially in human-computer interaction. Like humans, state-of-art FER systems are able to recognize emotions from the entire face of a person.
    • Solution of ill-posed problems with Chebfun
    Authors: A., Alqahtani; T., Mach; L., Reichel;  Advisor: -;  Co-Author: - (2023)

    The analysis of linear ill-posed problems often is carried out in function spaces using tools from functional analysis. However, the numerical solution of these problems typically is computed by first discretizing the problem and then applying tools from finite-dimensional linear algebra. The present paper explores the feasibility of applying the Chebfun package to solve ill-posed problems with a regularize-first approach numerically. This allows a user to work with functions instead of vectors and with integral operators instead of matrices. The solution process therefore is much closer to the analysis of ill-posed problems than standard linear algebra-based solution methods.