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Systematic Review and Meta-Analysis: Stepwise Approach for Medical and Biomedical Researchers presents a step-by-step approach to develop systematic reviews and meta-analysis for biomedical and medical research. Systematic reviews are the highest quality evidence in medical research, providing an answer to a specific question, and they can be developed in the form of comprehensive literature search, critical appraisal, and synthesis of the evidence. Systematic reviews and meta-analysis are key elements of evidence-based medicine by summarizing the results of previous studies with the use of specific and reliable methods.Initially, systematic review and meta-analysis were exclusive to clinical trials, however systematic reviews of observational and diagnostic studies have expanded, making it essential for members of the field to master those techniques. This practical reference is a valuable resource for biostaticians, researchers, students, and members of medical and biomedical fields who need to understand more about systematic reviews and meta-analysis in their research work.

Medical Oncology Compendium discusses several important topics in oncology with the help of leading experts worldwide who incorporate not only knowledge on recent developments in the field, but contextualize them within diverse socioeconomic environments to guarantee the applicability of the content in challenging scenarios. The book comprehensively discusses topics such as surgery, radiology, carcinogenesis, screening, assessment tools, evidence-based medicine, and precision oncology as applicable to different cancer types as non-small and small cell lung cancer, mesothelioma, breast cancer, gastric-rectal cancer, female specific cancers, prostate, skin and bone sarcomas. In addition, it discusses options to minimize oncology pain and palliative care. It is a valuable resource for oncologists, clinicians, researchers, healthcare workers and members of biomedical field who needs to understand more about diagnosis, treatment options and support for cancer patients.

Phytochemicals in Cancer Therapy and Beyond examines the role of natural products in the treatment of diseases, especially cancer. With a strong focus on the treatment of diseases, it demonstrates the mechanisms that natural products follow in treatment. In 24 chapters, the book describes not only regular cancer treatments, challenges, and developments in cancer treatment, in particular, phytochemicals and cellular mechanisms in cancer therapy, phytochemicals and molecular pathways in cancer, and Nano-scale delivery systems for phytochemicals in cancer therapy. The book concludes with clinical applications of phytochemical therapies. This book is a valuable resource for researchers in the field of oncology, disease therapy, diabetes mellitus treatment, cellular signaling scientists, and nanomaterial engineers.

Nanomechanics of Structures and Materials highlights and compares the advantages and disadvantages of diverse modeling and analysis techniques across a wide spectrum of different nanostructures and nanomaterials. It focuses on the behavior of media with nanostructural features where the classic continuum theory ceases to hold and augmented continuum theories such as nonlocal theory, gradient theory of elasticity, and the surface elasticity model should be adopted. These generalized frameworks, tailored to address the intricate characteristics inherent at the nanoscale level, are discussed in depth, and their application to a variety of different materials and structures, including graphene, shells, arches, nanobeams, carbon nanotubes, porous materials, and more, is covered.

The easy way to learn and retain key Microsoft® Excel skills!¿¿Prove your skills to employers and get certified! Provides prep for the Microsoft Office Specialist (MOS) Excel exam (Associate and Expert levels)Includes access to an online resource center with multimedia assets that enhance learningProvides training for beginning, intermediate, and advanced users Employs the unrivaled, proven learning techniques that Labyrinth has refined over more than two decadesProvides immediate job relevance through real-world exercises and case studies that illustrate business conditionsWritten by a teacherAlex Scott BBA, MM, is a Professor in the School of Business at Conestoga College and author of several in-demand textbooks. At Conestoga, he teaches intermediate- and advanced-level Microsoft Office courses as well as an array of business courses. Backed by decades of experienceFor more than 25 years, Labyrinth Learning has been a leader in preparing classroom students for the workplace. With the Boost Your Skills series, Labyrinth brings all of its experience from the classroom to the living rooms of learners across the globe. Boost Your Skills in Microsoft® Excel 365/2021 is an easy-to-use guide that takes learners step-by-step through the skills they'll need in the workplace.List of topics coveredIntroducing Microsoft Office and Using Common FeaturesTracking Customer DataCalculating Student Grades Using FormulasPerforming Calculations Using FunctionsData Visualization and ImagesOrganizing Large WorksheetsAdvanced Workbook FormattingDate Functions and Conditional FormattingFinancial Functions and What-If AnalysisText Functions, Conditional Functions, and Formula AuditingLookup Functions and OutlinesWorking with TablesPivotTables and PivotChartsWorking with MacrosData Management for BusinessWorkbook Completion

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity. Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.

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.

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.

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 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 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.

Dieses Praktikerhandbuch gibt einen praxisnahen Überblick über die Vorgaben der DSGVO und das deutsche Datenschutzrecht. Das Handbuch widmet sich unter anderem den organisatorischen und materiellen Datenschutzanforderungen, den Rechten der betroffenen Personen, der Rolle der Aufsichtsbehörden, den Schadensersatzanspüchen und den Bußgeldern nach der Verordnung, sowie deutschen nationalen Besonderheiten. Es enthält zahlreiche Praxishinweise und Anwendungsbeispiele sowie eine kompakte Übersicht zu den datenschutzrechtlichen Vorgaben für ausgewählte Verarbeitungssituationen mit hoher Praxisrelevanz, wie Cloud Computing, Big Data und Künstliche Intelligenz. Das Handbuch wurde für die zweite Auflage vollständig überarbeitet und berücksichtigt umfangreich neue datenschutzrechtliche Rechtsprechung und Behördenstellungnahmen.

Entdecken Sie "IT- und KI-Grundwissen für Einsteiger" von Klaus-Dieter Sedlacek - das perfekte Buch, um in die Welt der Informationstechnologie und Künstlichen Intelligenz einzutauchen. In leicht verständlicher Sprache führt Sie dieses praxisnahe Werk durch die Grundlagen der IT, von Hardware bis Netzwerken, Sicherheit und Programmierung. Im zweiten Teil tauchen Sie in die faszinierende Welt der KI ein, lernen Machine Learning und Deep Learning kennen und erfahren, wie KI unseren Alltag beeinflusst. Mit Wiederholungsfragen, Antworten und wertvollen Ressourcen bietet dieses Buch eine solide Grundlage für IT und KI. Egal, ob Sie beruflich oder persönlich interessiert sind, dieses Buch bringt Ihnen das nötige Grundwissen auf kurzweilige Weise näher.