Virksomhedssoftware

In this book, the author will present the computer mathematical modeling of fluid mechanics processes in variable gravity, using algorithmization, programming of these models and analysis of the numerical results of work of these models, simulated on a personal computer screen in comparison with experimentally obtained data from the fly tests on the board of fly labolatory (FL) aircraft IL-76K results.

We are currently witnessing the emergence of a ¿third culture¿, driven by unprecedented developments that are changing the playing field. These include advances in AI, big data analysis and robotics. The traditional ¿two cultures¿ view (S. P. Snow) distinguishes between the sciences and the humanities. The wisdoms these two cultures offer are separated from each other, with little to no interaction or mutual comprehension. However, over the past two decades, and for the first time in human history, a new, third culture has appeared. This new culture, rooted in new technologies, not only pursues its own form of rationality but also supports advances in the original two cultures, deepening and expanding our individual and collective consciousness so that we can see more and do better. It will eventually give rise to new forms of consciousness based not on biochemical signals, but on copper wires and lithium chips. These new machine intelligences will change the world and force us to realise: we are no longer alone. The human species¿ position in the twenty-first century will be fundamentally redefined: not as a conductor leading the orchestra, but a single string player within it.

Master Salesforce DevOps while exploring deployment, packages, Git workflows, and organizational monitoring using third-party tools such as Salesforce DX, GitHub, Jenkins, Gearset, and CopadoKey Features:Learn to build a DevOps culture to mitigate project risks and boost return on investment (ROI)Delve into the principles of DevOps and how to apply them in Salesforce for maximum efficiencyExplore Salesforce DevOps tools, with examples and strategies for building a robust DevOps stackPurchase of the print or Kindle book includes a free PDF eBookBook Description:As the Salesforce Platform evolves into an increasingly complex landscape, architects face a growing demand for advanced solutions. The key to successful Salesforce projects lies in effective DevOps practice, and this book helps you achieve just that by offering strategic and practical insights into Salesforce components.The book starts by cultivating a DevOps mindset, focusing on collaboration, coordination, and communication, and learning how to efficiently demonstrate governance, visibility, and accountability. Building upon this architectural foundation, you'll delve into tools and techniques to plan your strategy using the capabilities of SFDX. Once you've gotten to grips with Salesforce packaging, you'll learn how to build a CI/CD stack with freely available software and configure it for automated change delivery. You'll then address the operational concerns of a mature DevOps process as you explore topics such as ticket management, backups, change monitoring, and data seeding-essential for maintaining a clean and healthy Salesforce org. Finally, you'll learn about the ecosystem of third-party solutions, which provide out-of-the-box capabilities to accelerate your Salesforce DevOps journey.By the end of this book, you'll have demystified Salesforce DevOps, empowering you to deliver Salesforce projects with the expertise of a DevOps professional.What You Will Learn:Grasp the fundamentals of integrating a DevOps process into Salesforce project deliveryMaster the skill of communicating the benefits of Salesforce DevOps to stakeholdersRecognize the significance of fostering a DevOps culture and its impact on Salesforce projectsUnderstand the role of metrics in DevOps architecture within Salesforce environmentsGain insights into the components comprising a Salesforce DevOps toolchainDiscover strategies for maintaining a healthy Salesforce org with a variety of supporting DevOps toolsWho this book is for:If you are a Salesforce architect or senior developer looking to bring DevOps best practices to your projects, this book is for you. To learn from this book, you should have a strong familiarity with Salesforce platform development both in code and low-code, understand concepts such as metadata, JSON, and XML, and feel at ease with command-line operations.

Jasmin Michl realisiert eine tiefgehende Untersuchung zum Einsatz von Personalinformationssystemen in der Personalentwicklung und im Talent-Management mit besonderem Fokus auf strategische Einsatzgebiete und die Rolle von Stakeholder*innen. Im Rahmen ihrer Analyse verbindet die Autorin Perspektiven unterschiedlicher Interessengruppen, um die zentralen Herausforderungen digitaler Einführungsvorhaben im Personalbereich für Unternehmen und ihre Mitarbeitenden herauszuarbeiten. Hierbei wird auf Grundlage eines Mixed-Methods-Ansatzes deutlich, dass die erfolgreiche Bewältigung von technologischen Einführungsprojekten in HR keine rein technische Frage darstellt, sondern vielmehr eine der organisationalen Rahmenbedingungen und der sozialen Transformation. Die Erkenntnisse der Untersuchung bieten einen Einblick in transformationale Bewältigungs- und Positionierungsprobleme von und in Organisationen und bieten eine Grundlage zur Erarbeitung von möglichen Handlungs- und Zielfeldern für die Praxis.

This handbook collects the most up-to-date scholarship, knowledge, and new developments of big data and data analytics by bringing together many strands of contextual and disciplinary research. In recent times, while there has been considerable research in exploring the role of big data, data analytics, and textual analytics in accounting, and auditing, we still lack evidence on what kinds of best practices academics, practitioners, and organizations can implement and use. To achieve this aim, the handbook focuses on both conventional and contemporary issues facing by academics, practitioners, and organizations particularly when technology and business environments are changing faster than ever. All the chapters in this handbook provide both retrospective and contemporary views and commentaries by leading and knowledgeable scholars in the field, who offer unique insights on the changing role of accounting and auditing in today¿s data and analytics driven environment. Aimed at academics, practitioners, students, and consultants in the areas of accounting, auditing, and other business disciplines, the handbook provides high-level insight into the design, implementation, and working of big data and data analytics practices for all types of organizations worldwide. The leading scholars in the field provide critical evaluations and guidance on big data and data analytics by illustrating issues related to various sectors such as public, private, not-for-profit, and social enterprises. The handbook¿s content will be highly desirable and accessible to accounting and non-accounting audiences across the globe.

In today's fast-paced business world, proficiency in Microsoft Office isn't just a valuable skill-it's a necessity. "Mastery in Microsoft Office: A Comprehensive Guide" is the quintessential resource for anyone looking to elevate their office productivity skills to a professional level. Whether you're a student preparing for the workforce, an office worker seeking to enhance your software capabilities, or even a seasoned professional aiming to stay updated with the latest Microsoft Office features, this book is your ultimate guide. Spanning across the most widely used programs of the Office suite-Word, Excel, PowerPoint, and more-this guide delves deep into each application, offering insightful, step-by-step instructions. Begin your journey with Microsoft Word, where you'll learn to format documents, use templates, and implement advanced text editing techniques for professional reports and manuscripts. Then, transition to Excel for a comprehensive breakdown of formulas, functions, pivot tables, and data analysis tools that will transform your approach to data management and decision-making processes. PowerPoint is next on your learning path, where you'll discover how to craft captivating presentations with custom animations, audio-visual aids, and effective communication strategies. Not forgetting Outlook, this guide covers time management and email communication skills that are essential in any professional setting. But it's not just about the how-to's. "Mastery in Microsoft Office" also focuses on the practical applications of these tools in real-world scenarios. From managing complex datasets in Excel to creating persuasive business presentations in PowerPoint, the skills you'll acquire are directly applicable to your everyday professional tasks. To ensure a comprehensive understanding, the book includes:Detailed tutorials and practical exercises.Tips and tricks from industry experts.Latest updates and features in Microsoft Office.Real-world case studies and project examples. This guide doesn't just teach you to use Microsoft Office applications; it empowers you to harness their full potential, turning routine tasks into impactful projects. "Mastery in Microsoft Office: A Comprehensive Guide" is more than a book; it's a career investment, equipping you with the skills to excel in the modern digital workplace.

Projects based on the principles of magnetic resonance and electromagnetic resonance spectroscopy with elements of artificial intelligence and artificial neural networks.These are innovative powerful tools that mimic the ability of the human brain to process and interpret information. They continue to evolve and improve, opening up new possibilities for artificial intelligence.

Encryption and protection technologies and cyber security today is one of the strategically important aspects of innovative development of high-tech industries and this key issue is supposed to be discussed in detail in this book. A properly constructed system of protective identification can prevent unauthorized intrusion of intruders into corporate communication networks. Information protection built on the principles of non-contact dimensional identification of coding layers.

In this book, the author will present the computer medical-statistical modeling of the course of the entire process of malignant neoplasm and prediction of its generalization after treatment, using algorithmization, programming of this algorithmization on computer programming languages Turbo BASIC and Turbo C, and analysis of the numerical results of work of this model, simulated on a personal computer screen, in comparison with experimentally obtained data from the test results.

This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation. Computer simulations based on a mathematical model enable us to find a novel biological mechanism and predict an unknown biological phenomenon. Mathematical biology could further expand the progress of modern life sciences. Although many biologists are interested in mathematical biology, they do not have experience in mathematics and computer science. An educational course that combines biology, mathematics, and computer science is very rare to date. Published books for mathematical biology usually explain the theories of established mathematical models, but they do not provide a practical explanation for how to solve the differential equations included in the models, or to establish such a model that fits with a phenomenon of interest. MATLAB is an ideal programming platform for the beginners of computer science. This book starts from the very basics about how to write a programming code for MATLAB (or Octave), explains how to solve ordinary and partial differential equations, and how to apply mathematical models to various biological phenomena such as diabetes, infectious diseases, and heartbeats. Some of them are original models, newly developed for this book. Because MATLAB codes are embedded and explained throughout the book, it will be easy to catch up with the text. In the final chapter, the book focuses on the mathematical model of the proneural wave, a phenomenon that guarantees the sequential differentiation of neurons in the brain. This model was published as a paper from the author¿s lab (Sato et al., PNAS 113, E5153, 2016), and was intensively explained in the book chapter ¿Notch Signaling in Embryology and Cancer¿, published by Springer in 2020. This book provides the reader who has a biological background with invaluable opportunities to learn and practice mathematical biology.

This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world data: longitudinal data analysis, state space models, spatial data analysis, Gaussian processes, Bayesian optimization, dimensionality reduction, model selection, and information criteria, demonstrating that Stan can solve any one of these problems in as little as 30 lines.Using numerous easy-to-understand examples, the book explains key concepts, which continue to be useful when using future versions of Stan and when using other statistical modeling tools. The examples do not require domain knowledge and can be generalized to many fields. The book presents full explanations of code and math formulas, enabling readers to extend models for their own problems. All the code and data are on GitHub.

A new look at nearly 20 years of theoretical and practical research on IT outsourcing. The book explores how good IT outsourcing theories shape practice and how effective IT outsourcing practices inform theory. It highlights the importance of examining theories borrowed from economics, strategy, and sociology to study IT outsourcing.

Software development is an exciting and demanding field that focuses on the process of creating computer programs. These programs power almost every aspect of our daily lives, from our favorite apps on our smartphones to the complex systems that run banks.In this chapter, we will explore the basic concepts of software development, why it is important, and the different types of software developers that exist.What is software?Software is a sequence of instructions that tells a computer to perform specific tasks. It is in contrast to hardware (the physical components of a computer), which executes these instructions. Software comes in various forms, including:· Operating systems: These control the basic functions of a computer, such as managing files and running other programs. Examples include Windows, macOS, and Linux.· Application software: These are programs designed to perform specific tasks, such as word processors, web browsers, and games.· System software: These programs facilitate communication between a computer's hardware and other software. Examples include drivers and utilities.Why is software development important?Software is essential to our modern world. It powers our devices, our businesses, and our governments. Software developers are responsible for creating the software that we use every day. They play a vital role in shaping our world.Different types of software developersThere are many different types of software developers, each with their own specialized skills and knowledge. Some common types of software developers include:· Web developers: These developers create websites and web applications. They use a variety of programming languages and technologies, such as HTML, CSS, and JavaScript.· Mobile developers: These developers create apps for mobile devices, such as smartphones and tablets. They use a variety of programming languages and technologies, such as Java, Kotlin, and Swift.· Desktop developers: These developers create apps for desktop computers. They use a variety of programming languages and technologies, such as C++, Java, and Python.· Data scientists: These developers use data to solve business problems. They use a variety of programming languages and technologies, such as Python, R, and SQL.DevOps engineers: These developers combine development and operations to deliver software more effectively.&

This book offers a comprehensive collection of the latest research presented at the 8th International XR-Metaverse Conference, held in Las Vegas, USA in 2023. Its goal is to bridge the gap between academia and industry by advancing the state of the art in metaverse, XR, AI-based AR and VR technologies, and by exploring their applications in various fields such as business, marketing, education, health care, tourism, events, fashion, entertainment, retail, and the gaming industry. Including contributions by prominent XR scholars from around the globe, the book addresses a wide range of significant topics concerning XR and the metaverse. Showcasing cutting-edge research outputs, it will be of interest to both academics and practitioners eager to catch up on the latest developments in this rapidly evolving field.

O guia inclui um arquivo do Power BI para download para que você possa trabalhar e experimentar o código. Este guia completo foi pensado para uma rápida resolução dos casos mais comuns que podem ser encontrados ao realizar modelagem do zero no POWER BI. Através de seu uso, pretende-se parar de investir horas em desenvolvimento e código mal escrito (não otimizado) que gera falhas graves. O resultado deste guia é uma base de conhecimento que nos orienta na hora de encontrar o código em DAX que precisamos ou de poder gerá-lo por nós mesmos. Nele, você encontrará a resolução de um mesmo caso a partir de diferentes perspectivas aplicando diferentes FUNÇÕES E COMBINAÇÕES ENTRE ELAS para que possa encontrar a melhor que se adapte à necessidade do projeto. À medida que consultar este guia, aprenderá:Usar e combinar FUNÇÕES em Linguagem DAX.Criar código usando uma sintaxe mais limpa.Adquirir um estilo de desenvolvimento ágil. Se quiser aprofundar-se na programação em DAX, este guia o ajudará a escrever código de maneira limpa e ótima.

La guida include un file Power BI scaricabile per poter lavorare e sperimentare con il codice. Questa guida completa è destinata a risolvere rapidamente i problemi più comuni che si possono incontrare quando si esegue una modellazione da zero in POWER BI. Grazie al suo utilizzo, si intende evitare di spendere numerose ore nello sviluppo e nel codice mal scritto (non ottimizzato) che genera gravi bug. Il risultato di questa guida è una base di conoscenze che ci guida a trovare il codice DAX di cui abbiamo bisogno o a generarlo da soli. In essa troverete la risoluzione dello stesso caso da diverse prospettive applicando le diverse FUNZIONI E LE COMBINAZIONI TRA DI ESSE, in modo da poter trovare la migliore che si adatta alle esigenze del progetto. Durante la lettura di questa guida, imparerete: : Utilizzare e combinare le FUNZIONI nel linguaggio DAX.Creare codice utilizzando una sintassi più pulita.Acquisire uno stile di sviluppo agile. Se volete approfondire la programmazione DAX, questa guida vi aiuterà a scrivere il codice in modo pulito e ottimale.

This book picks Cisco as an example to propose a framework of ambidextrous integration of innovation and operation, which is the key to the success of global companies along their evolutions, especially for those technology companies. The authors try to find how the company combines active innovation and efficient operation for its sustainable development. On the basis of comprehensive analysis of the strategic leadership, change management, innovation system, M&As, IT-enabled value chains, collaboration, etc., in Cisco, as well as the interviews with Cisco staff, this book shows that management practices shape the balance of internal-external resources for explorative-exploitative innovations. IT strategies and implementation enable efficient operations when innovations are identified and justified in the leading company. Managerial insights for sustainable competitiveness can be gained from Cisco practices in this book. The companion of the book, Huawei: From Catching up to Lead, telling another growth path of technology company in China by similar framework.

This guide is purely practical so all the DAX code in this publication can be tested through a .pbix file available for download. "90 Solved Cases on Time Intelligence in DAX" is a guide for users of Microsoft Power BI that provides solutions to very common practical cases in time intelligence models in the DAX language.To promote understanding and versatility of the DAX language, several parts were chosen to address the same case from different perspectives, using TIME INTELLIGENCE FUNCTIONS and combining them to find the best option for the model's needs. By applying the contents of this manual, users will be able to: - Use and combine TIME INTELLIGENCE FUNCTIONS in DAX language.- Write code using a refined syntax.- Acquire an agile development style. If you are interested in getting deeper into DAX programming, this guide will help you write code quickly and optimally.

ERP is Enterprise resource planning. It is the integrated management of core business processes in real time. To study the effectiveness of the overall operations in an organization after implementing ERP. Various departments use their corresponding modules of the ERP and have significantly improved in their operations. The ERP¿s contribution to the overall organizations performance effectiveness is analyzed.

Documented signal retrieval and identification is a meticulous process integral to various fields, encompassing the systematic extraction and recognition of signals from complex datasets. At its core, this endeavor involves the collection of raw data from diverse sources, often characterized by noise and complexity. Signal retrieval, the initial phase, employs techniques such as data filtering and preprocessing to isolate relevant information from the noise, enhancing the clarity of target signals. This step ensures that subsequent analyses are conducted on a refined dataset, optimizing the accuracy of signal identification. The identification process entails the application of specialized algorithms and methodologies tailored to the nature of the signals being sought. In fields like telecommunications, radio frequency (RF) signals, or biomedical applications, these algorithms may range from classical signal processing methods to advanced machine learning techniques. Classification algorithms play a vital role in discerning and categorizing different types of signals, enabling automated recognition. Moreover, feature extraction is employed to distill key characteristics of signals, facilitating their identification. In scenarios involving complex or rapidly changing signals, adaptive algorithms and real-time processing become essential to keep pace with dynamic environments. The documented aspect of this process involves maintaining a comprehensive record of methodologies, parameters, and outcomes throughout signal retrieval and identification. This documentation not only ensures reproducibility but also aids in refining and optimizing methods over time. Furthermore, it provides a valuable resource for analysis, allowing researchers and practitioners to trace the evolution of signal identification approaches and compare the effectiveness of different techniques. Interdisciplinary collaboration is often critical, as signal retrieval and identification are applied across diverse domains such as telecommunications, astronomy, healthcare, and military operations. In telecommunications, for instance, documented signal retrieval and identification play a pivotal role in spectrum management, interference detection, and ensuring efficient communication systems. In healthcare, the identification of physiological signals, such as electrocardiograms (ECG) or brain signals, is crucial for diagnostic purposes and monitoring patient health. Military applications involve the identification of radar signals, ensuring situational awareness and security. The continuous evolution of signal retrieval and identification methods is driven by technological advancements and the growing complexity of data sources. Emerging technologies, including cognitive radio systems and artificial intelligence, bring new dimensions to this field, enabling more adaptive and intelligent signal identification processes. In conclusion, documented signal retrieval and identification form the backbone of various scientific and technological endeavors, providing the means to extract meaningful information from intricate datasets. The synergy of data filtering, preprocessing, specialized algorithms, and documentation ensures not only the accuracy of signal identification but also paves the way for innovation and advancements in diverse domains where signal recognition is paramount.

This book is a vital guide, exploring fundamental principles, methodologies, and challenges in software engineering. It defines and outlines the scope of software engineering, emphasizing its crucial role in designing, developing, and maintaining software systems. The book elucidates key principles like abstraction, modularity, and reusability, thoroughly examining agile and waterfall models. It addresses challenges, offering strategies for complexities and anticipating the impact of AI, ML, and DevOps on software development. Beyond theory, it explores practical aspects, including software components, challenges in componentization, and best practices for effective development. Navigating the software crisis, it highlights origins and provides mitigation strategies. Further chapters cover software engineering processes, the Software Development Life Cycle, models, requirements engineering, and quality assurance. This invaluable resource equips readers with essential knowledge and skills for success in software engineering.

This book draws on recent debate surrounding the emergence of cognitive intelligence in organizations, exploring the redefinition of the labor market and consequently, employment. Now in its second edition, it has been re-conceived to reflect the huge transformation experienced by organizations and individuals following the COVID-19 pandemic, which has changed our understanding of the meaning of working and has reshaped HRM and its function within organizations.With a particular focus on Human Resource Management (HRM), the authors analyse the socio-cultural transformation of traditional practices and methodologies that are occurring in the workforce. Digital HR presents detailed case studies and interviews with HR managers of large multinational companies, providing comprehensive empirical evidence for academics and students interested in the development of HRM in today¿s digital landscape. The book will also be valuable to practitioners and managers looking to adapt the role of HR in their own companies or organizations.

What are Formal Methods? Why are they Important for Software Engineers? 1. What are Formal Methods? Formal methods are a design and process used to manage the software development process. They help to plan, design, develop, test, and maintain software projects. Formal methods are based on mathematical and logical principles. They use precise and rigorous techniques to specify, analyze, and verify software requirements, designs, and implementations. Formal methods can be used to improve the quality, reliability, and security of software. They can also help to reduce the cost and time of software development.¿¿¿¿¿¿¿¿: ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿? ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿¿ ¿¿¿¿¿¿¿¿¿?1. ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿?¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿ ¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿. ¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿¿, ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿.

Esta guía es puramente práctica por lo que todo el código DAX recogido en esta publicación puede ser probado a través de un fichero .pbix disponible para su descarga."90 casos resueltos de Time Intelligence en DAX" es una guía para usuarios de Microsoft Power BI en la que se da solución a casos prácticos bastante frecuentes en modelos de Time Intelligence en lenguaje DAX.Para facilitar la comprensión y la versatilidad del lenguaje DAX, se ha optado en varios apartados por la resolución de un mismo caso desde diferentes perspectivas, utilizando y combinando las FUNCIONES de TIME INTELLIGENCE para poder dar con la mejor opción que se adapte a la necesidad del modelo. Aplicando el contenido de esta guía, el usuario será capaz de:Usar y combinar FUNCIONES de TIME INTELLIGENCE en Lenguaje DAX.Escribir código empleando una sintaxis depurada.Adquirir un estilo de desarrollo ágil. Si tiene interés en profundizar en la programación en DAX, ésta guía le ayudará a escribir código de manera rápida y óptima.

Ce guide est purement pratique alors tous les codes DAX dans cette publication peuvent être testés sur un fichier .pbix disponible en téléchargement."90 cas résolus de l'intelligence temporelle en DAX" est un guide destiné aux utilisateurs de Microsoft Power BI qui fournit des solutions à des cas pratiques très courants de modèles d'intelligence temporel en langage DAX.Afin de promouvoir la compréhension et la polyvalence du langage DAX, plusieurs parties ont été choisies pour aborder le même cas sous différents angles, en utilisant des FONCTIONS D'INTELLIGENCE TEMPORELLE et en les combinant pour trouver la meilleure option pour les besoins du modèle.En appliquant le contenu de ce manuel, les utilisateurs seront en mesure de :Utiliser et combiner les FONCTIONS D'INTELLIGENCE TEMPORELLE en langage DAX.Écrire un code en utilisant une syntaxe raffinée.Acquérir un style de développement agile.Si vous souhaitez approfondir la programmation DAX, ce guide vous aidera à écrire le code rapidement et de manière optimale.