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Visual Studio code : end-to-end editing and debugging tools for web developers
The choice of a code editor is an important one for any web developer. Visual Studio Code, the free and open-source editor from Microsoft has swiftly become a favorite in the coding community. It provides all the basics in a lightweight package and adds a number of features that set it apart from other editors. Whether you are new to the program or are already a user, Visual Studio Code will equip you with a thorough knowledge of the out-of-the-box functionality and the available extensions for your cross-platform code editor of choice. This book is appropriate for developers using Visual Studio Code on Windows, Mac, or Unix, and guides you through the installation process for each platform. A detailed inventory of features, follows the development workflow, so you can follow along with this book to set up your workspace, project files, code editing tools, and source control integration as you go. Additionally, Visual Studio Code guides you through the extensibility features of the code editor, so you can locate and install key extension from additional language support to useful new functionality. Finally, this book will show you how to create your own extensions to make Visual Studio Code exactly what you need your code editor to be. Visual Studio Code is an essential guide to: Navigating and customizing the workspace ; Editing code in your language of choice using syntax coloring, refactoring support, and other productivity-enhancing features ; Choosing and implementing a file structure appropriate to your needs.
Book
HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling
PurposeOne popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2.Design/methodology/approachThe HTMT2 is designed in analogy to the HTMT but relies on the geometric mean instead of the arithmetic mean. A Monte Carlo simulation compares the performance of the HTMT and the HTMT2. In the simulation, several design factors are varied such as loading patterns, sample sizes and inter-construct correlations in order to compare the estimation bias of the two criteria.FindingsThe HTMT2 provides less biased estimations of the correlations among the latent variables compared to the HTMT, in particular if indicators loading patterns are heterogeneous. Consequently, the HTMT2 should be preferred over the HTMT to assess discriminant validity in case of congeneric measurement models.Research limitations/implicationsHowever, the HTMT2 can only be determined if all correlations between involved observable variables are positive.Originality/valueThis paper introduces the HTMT2 as an improved version of the traditional HTMT. Compared to other approaches assessing discriminant validity, the HTMT2 provides two advantages: (1) the ease of its computation, since HTMT2 is only based on the indicator correlations, and (2) the relaxed assumption of tau-equivalence. The authors highly recommend the HTMT2 criterion over the traditional HTMT for assessing discriminant validity in empirical studies.
Journal Article
Killer ChatGPT prompts : harness the power of AI for success and profit
By now, you've heard of ChatGPT and its incredible potential. You may even have tried to use it a few times just to see it in action for yourself. But have you ever wondered what ChatGPT is truly capable of? 'Killer ChatGPT Prompts' will show you the true power of Large Language Models (LLMs) like ChatGPT. Veteran IT educator and author Guy Hart-Davis shows you the exact prompts he's discovered to unlock a huge variety of expert business writing, like emails and proposals, data analysis use cases, lesson plans, information exchange scripts, and more! You'll also find: the perfect prompts for a huge array of job roles, including those in sales and marketing, web development, HR, customer support, and more. Use cases for ChatGPT in the home, with your kids, and in your relationship.
BOOK
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach
Monitoring of cerebrovascular diseases via carotid ultrasound has started to become a routine. The measurement of image-based lumen diameter (LD) or inter-adventitial diameter (IAD) is a promising approach for quantification of the degree of stenosis. The manual measurements of LD/IAD are not reliable, subjective and slow. The curvature associated with the vessels along with non-uniformity in the plaque growth poses further challenges. This study uses a novel and generalized approach for automated LD and IAD measurement based on a combination of spatial transformation and scale-space. In this iterative procedure, the scale-space is first used to get the lumen axis which is then used with spatial image transformation paradigm to get a transformed image. The scale-space is then reapplied to retrieve the lumen region and boundary in the transformed framework. Then, inverse transformation is applied to display the results in original image framework. Two hundred and two patients’ left and right common carotid artery (404 carotid images) B-mode ultrasound images were retrospectively analyzed. The validation of our algorithm has done against the two manual expert tracings. The coefficient of correlation between the two manual tracings for LD was 0.98 (
p
< 0.0001) and 0.99 (
p
< 0.0001), respectively. The precision of merit between the manual expert tracings and the automated system was 97.7 and 98.7%, respectively. The experimental analysis demonstrated superior performance of the proposed method over conventional approaches. Several statistical tests demonstrated the stability and reliability of the automated system.
Journal Article
Developing enterprise chatbots : learning linguistic structures
A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. This work will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of the book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches.
Book
Artificial Neural Networks in Biological and Environmental Analysis
Based on our knowledge of the functioning human brain, ANNs (artificial neural networks) serve as a modern paradigm for computing. Drawing on the author's substantial experience, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of ANNs in modern environmental and biological analysis. Presenting basic principles together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists use the power of the ANN model to explain physical concepts and to demonstrate complex natural processes.
eBook
Learning React : functional web development with React and Redux /
If you want to learn how to build efficient user interfaces with React, this is your book. Authors Alex Banks and Eve Porcello show you how to create UIs with this small JavaScript library that can deftly display data changes on large-scale, data-driven websites without page reloads. Along the way, you'll learn how to work with functional programming and the latest ECMAScript features.
Book
Understanding the determinants of business intelligence system adoption stages
Puklavec, B., Oliveira, T., & Popovič, A. (2018). Understanding the determinants of business intelligence system adoption stages an empirical study of SMEs. Industrial Management and Data Systems, 118(1), 236-261. https://doi.org/10.1108/IMDS-05-2017-0170 ---%ABS2%
Purpose – The purpose of this paper is to provide a better understanding of the determinants of business intelligence system (BIS) adoption stages. It develops and empirically tests a conceptual model for assessing the determinants of BIS diffusion on the evaluation, adoption, and use stages in the context of small and medium enterprises (SMEs). Design/methodology/approach – Drawing on data from 181 SMEs the influence of technological, organizational, and environmental factors on BIS adoption stages were analyzed using the PLS- SEM method. Findings – The paper provides empirical insights about how technological, organizational, and environmental factors affect individual BIS adoption stages. Practical implications – The paper includes implications for managers and solution providers to understand the influence of various determinants to more effectively conclude the adoption process. Originality/value – This study represents important progress in the theoretical understanding of the role of technological, organizational, and environmental factors across the different BIS adoption stages.
Journal Article
Meta-attributes and artificial networking : a new tool for seismic interpretation
\"Overview of meta-attributes and how to design them. Case studies demonstrating the application of meta-attributes. Sample data sets available for hands-on exercises. The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals\"-- Provided by publisher.
Book
Testing moderating effects in PLS path models with composite variables
Purpose
The purpose of this paper is to explain how to model moderating effects of composites using partial least squares (PLS) path modeling. It provides the methodological underpinning of moderating effects in general and describes the various approaches for forming the interaction term, i.e., the product indicator approach, the two-stage approach, and orthogonalization.
Design/methodology/approach
The paper discusses the use of standardized vs unstandardized construct scores and introduces spotlight analysis as a useful way to report findings.
Findings
Researchers should rely on unstandardized estimates when analyzing moderating effects. Centering or orthogonalization can help improve the interpretability of path coefficients.
Practical implications
PLS software implementations should facilitate unstandardized estimates.
Originality/value
This paper formulates step by step guidelines for analyzing moderating effects of composites using PLS path modeling. It is the first to propose spotlight analysis for PLS path modeling.
Journal Article