Computer & IT

Python For Beginners: The Comprehensive Guide To Learning, Understanding, And Mastering Python Programming Easily Turn into a Python Programming Expert! Python is a straightforward yet effective programming language that can help you become a programmer from the very beginning. It is highly readable, and you won't experience the anxiety that many novices experience when trying to remember obscure syntax that is typically presented by other programming languages. On the other hand, you will have more time to focus on mastering programming concepts and paradigms. Discovering Python allows you to explore an endless array of programming opportunities. Python is an essential backend programming language used in everything from AI and machine learning to web, app, and video game development. Python powers the services of tech giants like Intel, IBM, and NASA as well as well-known brands like Google, Netflix, and Spotify. Python is, to put it simply, the popular, simple-to-learn programming language that gets things done. This book presents a novel strategy founded on three distinct principles:- Synthesis: The topics have been thoughtfully chosen to provide you with a wide overview of Python without overwhelming you.- Simplicity: To help you learn as many topics as possible in the shortest amount of time, each concept is broken down into easy steps.- Pragmatics: Unlike most books, ALL of the examples' outputs are given right away, saving you time when testing them on your computer. This book is the best option because it will undoubtedly introduce you to new, high-paying career opportunities, regardless of your level of programming experience.

Are you looking for a quick, highly-effective and easy way to understand blockchain and Bitcoin, without wasting countless hours sifting through unnecessary filler information?Do you want to get a firm grasp on what blockchain and Bitcoin are all about? Even topics such as Smart Contracts and Digital Tokens?Do you need to quickly learn the key concepts and vocabulary around blockchain and Bitcoin?This effective guide will help you understand blockchain and Bitcoin, including more advanced topics such as smart contracts and digital tokens, and will set you well on your way to blockchain and Bitcoin mastery.This Book will help you quickly master the most important ideas and topics in blockchain and Bitcoin.I look forward to seeing you inside!

Written by a team of well-known PostgreSQL experts, this new edition will cover all the latest updates of PostgreSQL 16 including 12+ new and improved recipes on logging, monitoring, security and high-performancePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesSkill-up as a database administrator by achieving improved query performance, backup, and recovery management, setting up replication and so onGet to grips with the essentials of database management with a recipe-based approach using the latest features of PostgreSQL 16New and updated recipes on crucial PostgreSQL topics like Monitoring, Logging, Scalability and so onBook DescriptionPostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide.This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges.By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.What you will learnDiscover how to improve batch data loading with the SQL MERGE statementUse logical replication to apply large transactions in parallelImprove your back up and recovery performance with server-side compressionTackle basic to high-end and real-world PostgreSQL challenges with practical recipesMonitor and fine-tune your database with easeLearn to navigate the newly introduced features of PostgreSQL 16Efficiently secure your PostgreSQL database with new and updated featuresWho this book is forThis Postgres book is for database administrators, data architects, database developers, and anyone with an interest in planning and running live production databases using PostgreSQL 14. Those looking for hands-on solutions to any problem associated with PostgreSQL 14 administration will also find this book useful. Some experience with handling PostgreSQL databases will help you to make the most out of this book, however, it is a useful resource even if you are just beginning your Postgres journeyTable of ContentsFirst StepsExploring the DatabaseServer ConfigurationServer ControlTables and DataSecurityDatabase AdministrationMonitoring and DiagnosisRegular MaintenancePerformance and ConcurrencyBackup and RecoveryReplication and Upgrades

Kryptowerte wie der Bitcoin stellen ein neuartiges Phänomen dar, welches vor allem in rechtlicher Hinsicht zahlreiche Fragen aufwirft. Die vorliegende Arbeit erforscht nach Erläuterung der technischen Grundlagen der Blockchaintechnologie die währungs- und aufsichtsrechtliche Einordnung von Kryptowerten am Beispiel des Bitcoin. Im Mittelpunkt der Arbeit steht dabei die Untersuchung der Frage, ob sich der börsliche Handel mit Kryptowerten unter bestehende rechtliche Strukturen fassen lässt. Zudem wird die Erfüllung von solchen Börsengeschäften mit Kryptowerten untersucht.

This book introduces readers to the latest technological advances in the emerging field of intelligent orthopaedics. Artificial intelligence and smart instrumentation techniques are now revolutionizing every area of our lives, including medicine. The applications of these techniques in orthopaedic interventions offer a number of potential benefits, e.g. reduced incision size and scarring, minimized soft tissue damage, and decreased risk of misalignment. Consequently, these techniques have become indispensable for various orthopaedic interventions, which has led to the emerging field of intelligent orthopaedics. Addressing key technologies and applications, this book offers a valuable guide for all researchers and clinicians who need an update on both the principles and practice of intelligent orthopaedics, and for graduate students embarking on a career in this field.¿

Explore the Core of Computing with "30 Essential Algorithms in Python". Dive into the world of algorithms with this insightful guide, perfect for anyone passionate about computer science. Whether you're a student starting your journey, a professional seeking to deepen your understanding, or a coding enthusiast eager to explore, this book is your gateway to mastering some of the most fundamental and powerful algorithms in computing. Unlock the Secrets of Algorithms:From sorting and searching to graph theory and beyond, discover the mechanisms behind 30 essential algorithms.Programmed Solutions in Python. Each algorithm is accompanied by its implementation in Python, providing practical, ready-to-use solutions.Real-World Applications: Understand not just the "how" but also the "why" as each algorithm is tied to its real-world applications. "Essential Algorithms: A Practical Approach" is more than a book; it's a journey into the heart of algorithmic thinking. Equip yourself with the knowledge and skills to tackle real-world problems with confidence and creativity. Embrace the world of algorithms today!

"Mindful Tech Habits for Teens" is a groundbreaking guide designed to empower adolescents in navigating the complex intersection of their developing brains and the ever-evolving world of digital technology. Chapter 1: IntroductionEmbark on a journey into the world of mindful tech habits as we set the stage for understanding the critical role technology plays in the lives of today's teens. Gain insights into the challenges and opportunities that lie ahead.Chapter 2: The Teenage Brain and Digital TechnologyDelve into the fascinating science behind the teenage brain and its interaction with digital technology. Uncover how these interactions shape cognitive development and influence behavior.Chapter 3: The Science of Habit FormationExplore the psychology of habit formation, providing a foundation for understanding how mindful tech habits can be cultivated and sustained for long-term well-being.Chapter 4: Mindful Tech Habits: Screen Time ManagementNavigate the intricacies of screen time with practical strategies for mindful consumption. Chapter 5: Navigating Social Media MindfullyExamine the impact of social media on teens' mental health and self-esteem. Discover mindful approaches to navigate these platforms while fostering positive online interactions.Chapter 6: Balancing Online and Offline LifeUncover the importance of striking a balance between the digital and physical worlds. Gain practical tips on managing online activities without sacrificing real-world connections.Chapter 7: Sleep Hygiene in the Digital AgeExplore the challenges posed by digital devices on sleep patterns and learn effective sleep hygiene practices to ensure restful nights for teens.Chapter 8: Cyberbullying Awareness and PreventionAddress the serious issue of cyberbullying, providing insights into its dynamics and equipping teens with tools to recognize, prevent, and respond to online harassment.Chapter 9: Cultivating a Healthy Digital Self-ImageGuide teens in developing a positive digital self-image, emphasizing self-compassion and resilience in the face of online challenges.Chapter 10: Parental Guidance and SupportUnderstand the crucial role parents play in fostering mindful tech habits. Gain practical advice on providing guidance and support while respecting teens' autonomy.Chapter 11: Digital Well-Being Education in SchoolsAdvocate for comprehensive digital well-being education in schools, exploring the role of educators in equipping students with the skills to navigate the digital landscape responsibly.Chapter 12: Seeking Professional Help When NeededRecognize the signs when professional intervention may be necessary and understand how to access appropriate resources for mental health support.Chapter 13: Building Resilience in TeensEmpower teens with tools to build resilience, fostering the ability to navigate challenges and setbacks in the digital age.Chapter 14: Empowering Teens as Digital CitizensInspire teens to become responsible and ethical digital citizens, contributing positively to online communities and understanding the impact of their digital footprint.Chapter 15: ConclusionWrap up the journey with a comprehensive conclusion, summarizing key takeaways and reinforcing the importance of cultivating mindful tech habits for a healthier and more fulfilling teen experience in the digital era.

Centra-se principalmente no problema da construção de modelos para representar o comportamento de utilizadores passados, capazes de prever as ligações mais prováveis que um utilizador solicitará ao visualizar uma página. O WUM foi especificamente concebido para realizar aplicações através da análise dos dados de utilização. Os resultados do algoritmo de agrupamento Grey são utilizados como entrada para o modelo de Markov de probabilidade móvel Grey para prever a próxima visita dos utilizadores. Esta abordagem modela as sessões de navegação e prevê o próximo passo de navegação utilizando probabilidades de transição com duas abordagens de estimação. A previsão é uma forma de analisar informações históricas para calcular a maior probabilidade possível do próximo pedido; o padrão de navegação quando os futuros utilizadores e clientes estão a navegar no sítio Web é correspondido. Existem muitas vantagens baseadas na Web para implementar a previsão, tais como a personalização do sítio Web, a estrutura adequada do sítio Web, a inteligência comercial, etc. As probabilidades de transação são mais adequadas para prever o próximo pedido dos utilizadores. No modelo de previsão, a cadeia de Markov de comprimento variável é utilizada para prever a categoria do estado seguinte dos utilizadores com a probabilidade de transação.

As mudanças na sociedade incentivam os indivíduos a envolverem-se em processos criativos e de experimentação que podem resultar em novos produtos, serviços ou processos tecnológicos. Este livro examinou a forma como as variáveis de inovação mais populares explicam a capacidade dos fornecedores de produtos e serviços de tecnologias da informação (TI) no cluster de hardware informático de Otigba, em Lagos, Nigéria, para conceber e aproveitar novas estratégias de resolução de problemas de TI. O estudo também investigou a capacidade dos inquiridos para adquirir, assimilar, transformar e utilizar conhecimentos, bem como a relação entre estas capacidades e a sua capacidade de inovação. Os dados foram recolhidos junto de 273 inquiridos com a ajuda de um questionário e de um programa de entrevistas aprofundadas. O estudo confirma a importância de uma rede mais forte para a transferência de conhecimentos, mostrando que a interação dos inquiridos com as fontes de conhecimento tem uma forte relação com a sua capacidade de inovar, adquirir, compreender e utilizar os conhecimentos. No entanto, a capacidade de inovação dos operadores do cluster não é necessariamente uma função das variáveis tradicionais de inovação. A capacidade de transformar o conhecimento em aplicações tem um efeito significativo na capacidade de inovação.

Il se concentre principalement sur le problème de la construction de modèles représentant le comportement passé des utilisateurs et capables de prédire les liens les plus probables qu'un utilisateur demandera lorsqu'il consultera une page. WUM a été spécialement conçu pour réaliser des applications en analysant les données d'utilisation. Les résultats de l'algorithme de regroupement de Grey sont utilisés comme entrée pour le modèle de Markov à probabilité mobile de Grey afin de prédire la prochaine visite des utilisateurs. Cette approche modélise les sessions de navigation et permet de prédire la prochaine étape de navigation en utilisant des probabilités de transition avec deux approches d'estimation. La prédiction est un moyen d'analyser les informations historiques pour calculer la probabilité la plus élevée possible de la prochaine demande ; le modèle de navigation lorsque les futurs utilisateurs et clients naviguent sur le site web est mis en correspondance. La mise en ¿uvre de la prédiction présente de nombreux avantages sur le web, tels que la personnalisation du site web, la structure appropriée du site web, l'intelligence économique, etc. Les probabilités de transaction sont plus appropriées pour prédire la prochaine demande des utilisateurs. Dans le modèle de prédiction, la chaîne de Markov à longueur variable est utilisée pour prédire la catégorie de l'état suivant des utilisateurs avec la probabilité de transaction.

Los cambios en la sociedad incitan a los individuos a emprender procesos creativos y de experimentación que pueden dar lugar a nuevos productos, servicios o procesos tecnológicos. Este libro examinó cómo las variables de innovación más populares explican la capacidad de los proveedores de productos y servicios de tecnologías de la información (TI) del cluster de hardware informático de Otigba, en Lagos (Nigeria), para idear y aprovechar nuevas estrategias de resolución de problemas informáticos. El estudio también investigó la capacidad de los encuestados para adquirir, asimilar, transformar y utilizar conocimientos, y la relación entre estas capacidades y su capacidad de innovación. Se recogieron datos de 273 encuestados mediante un cuestionario y una entrevista en profundidad. El estudio confirma la importancia de una mayor creación de redes para la transferencia de conocimientos al demostrar que la interacción de los encuestados con las fuentes de conocimiento guarda una estrecha relación con su capacidad de innovar, adquirir, comprender y utilizar conocimientos. Sin embargo, la capacidad de innovación de los operadores de la agrupación no depende necesariamente de las variables tradicionales de innovación. La capacidad de transformar el conocimiento en aplicaciones tiene un efecto significativo en la capacidad de innovación.

Si concentra principalmente sul problema della costruzione di modelli per rappresentare il comportamento passato degli utenti, in grado di prevedere i collegamenti più probabili che un utente richiederà durante la visualizzazione di una pagina. WUM è stato progettato specificamente per realizzare applicazioni analizzando i dati di utilizzo. I risultati dell'algoritmo di clustering grigio vengono utilizzati come input per il modello di Markov a probabilità mobile grigio per prevedere la visita successiva degli utenti. Questo approccio modella le sessioni di navigazione e prevede la fase di navigazione successiva utilizzando le probabilità di transizione con due approcci di stima. La previsione è un modo di analizzare le informazioni storiche per calcolare la probabilità più probabile della prossima richiesta; il modello di navigazione quando i futuri utenti e clienti navigano sul sito web viene abbinato. I vantaggi dell'implementazione della previsione sul web sono molteplici, come la personalizzazione del sito web, la strutturazione di un sito web appropriato, la business intelligence, ecc. Le probabilità di transazione sono più adatte a prevedere le prossime richieste degli utenti. Nel modello di previsione, la Variable Length Markov Chain (catena di Markov di lunghezza variabile) viene utilizzata per prevedere la categoria dello stato successivo degli utenti con la probabilità di transazione.

L'évolution de la société encourage les individus à s'engager dans des processus créatifs et des expérimentations qui peuvent déboucher sur de nouveaux produits, services ou processus technologiques. Cet ouvrage examine comment les variables d'innovation les plus populaires expliquent la capacité des fournisseurs de produits et de services de technologies de l'information (TI) du cluster de matériel informatique d'Otigba à Lagos, au Nigeria, à concevoir et à exploiter de nouvelles stratégies pour résoudre les problèmes liés aux technologies de l'information. L'étude a également examiné la capacité des personnes interrogées à acquérir, assimiler, transformer et utiliser les connaissances, ainsi que la relation entre ces capacités et leur capacité d'innovation. Les données ont été recueillies auprès de 273 répondants à l'aide d'un questionnaire et d'un programme d'entretiens approfondis. L'étude confirme l'importance d'une mise en réseau plus forte pour le transfert de connaissances en montrant que l'interaction des répondants avec les sources de connaissances est étroitement liée à leur capacité d'innover, d'acquérir, de comprendre et d'utiliser les connaissances. Toutefois, la capacité d'innovation des opérateurs du cluster n'est pas nécessairement fonction des variables traditionnelles de l'innovation. La capacité à transformer les connaissances en applications a un effet significatif sur la capacité d'innovation.

I cambiamenti nella società incoraggiano gli individui a impegnarsi in processi creativi e di sperimentazione che possono sfociare in nuovi prodotti, servizi o processi tecnologici. Questo libro ha esaminato come le variabili di innovazione più diffuse spieghino la capacità dei fornitori di prodotti e servizi informatici (IT) del cluster di hardware per computer di Otigba, a Lagos, in Nigeria, di ideare e sfruttare nuove strategie per risolvere i problemi IT. Lo studio ha inoltre analizzato la capacità degli intervistati di acquisire, assimilare, trasformare e utilizzare la conoscenza e la relazione tra queste capacità e la loro capacità innovativa. I dati sono stati raccolti da 273 intervistati con l'ausilio di un questionario e di un programma di interviste in profondità. Lo studio conferma l'importanza di una rete più forte per il trasferimento della conoscenza, dimostrando che l'interazione degli intervistati con le fonti di conoscenza ha una forte relazione con la loro capacità di innovare, acquisire, comprendere e utilizzare la conoscenza. Tuttavia, l'innovatività degli operatori del cluster non è necessariamente una funzione delle variabili tradizionali dell'innovazione. La capacità di trasformare la conoscenza in applicazioni ha un effetto significativo sull'innovatività.

Gesellschaftliche Veränderungen regen den Einzelnen zu kreativen Prozessen und Experimenten an, die zu neuen Produkten, Dienstleistungen oder technologischen Prozessen führen können. In diesem Buch wurde untersucht, wie die gängigsten Innovationsvariablen die Fähigkeit der Anbieter von Produkten und Dienstleistungen der Informationstechnologie (IT) im Otigba Computer Hardware Cluster in Lagos, Nigeria, erklären, neue Strategien zur Lösung von IT-Problemen zu entwickeln und zu nutzen. Die Studie untersuchte auch die Fähigkeit der Befragten, Wissen zu erwerben, aufzunehmen, umzuwandeln und zu nutzen, sowie die Beziehung zwischen diesen Fähigkeiten und ihrer Innovationsfähigkeit. Die Daten wurden von 273 Befragten mit Hilfe eines Fragebogens und eines ausführlichen Interviewplans erhoben. Die Studie bestätigt die Bedeutung einer stärkeren Vernetzung für den Wissenstransfer, indem sie zeigt, dass die Interaktion der Befragten mit Wissensquellen in engem Zusammenhang mit ihrer Fähigkeit zur Innovation, zum Erwerb, zum Verständnis und zur Nutzung von Wissen steht. Die Innovationsfähigkeit der Unternehmen des Clusters ist jedoch nicht unbedingt eine Funktion der traditionellen Innovationsvariablen. Die Fähigkeit, Wissen in Anwendungen umzuwandeln, hat einen signifikanten Einfluss auf die Innovationsfähigkeit.

Se centra principalmente en el problema de construir modelos para representar el comportamiento de usuarios anteriores, que sean capaces de predecir los enlaces más probables que un usuario solicitará al visualizar una página. WUM se ha diseñado específicamente para llevar a cabo aplicaciones mediante el análisis de los datos de uso. Los resultados del algoritmo de agrupación de Grey se utilizan como entrada para el Modelo de Markov de Probabilidad Móvil de Grey para predecir la próxima visita de los usuarios. Este enfoque modela las sesiones de navegación y para predecir el siguiente paso de navegación utilizando probabilidades de transición con dos enfoques de estimación. La predicción es una forma de analizar la información histórica para calcular la probabilidad más posible de la siguiente solicitud; se coteja el patrón de navegación cuando los futuros usuarios y clientes navegan por el sitio web. Aplicar la predicción tiene muchas ventajas, como la personalización del sitio web, la adecuación de su estructura, la inteligencia empresarial, etc. Las probabilidades de transacción son más adecuadas para predecir la próxima solicitud de los usuarios. En el modelo de predicción, se utiliza la cadena de Markov de longitud variable para predecir la categoría del siguiente estado de los usuarios con la probabilidad de transacción.

Osnownoe wnimanie udelqetsq probleme postroeniq modelej, predstawlqüschih powedenie pol'zowatelej w proshlom, kotorye sposobny predskazat' naibolee weroqtnye ssylki, kotorye pol'zowatel' zaprosit pri prosmotre stranicy. WUM special'no razrabotan dlq wypolneniq prilozhenij putem analiza dannyh ob ispol'zowanii. Rezul'taty raboty algoritma klasterizacii Grey ispol'zuütsq w kachestwe whodnyh dannyh dlq modeli Grey Moving Probability Markov Model dlq predskazaniq sleduüschego wizita pol'zowatelej. Jetot podhod modeliruet nawigacionnye sessii i dlq predskazaniq sleduüschego nawigacionnogo shaga ispol'zuet weroqtnosti perehoda s dwumq podhodami k ocenke. Prognozirowanie - äto sposob analiza istoricheskoj informacii dlq rascheta naibolee wozmozhnoj weroqtnosti sleduüschego zaprosa; pri ätom sopostawlqetsq model' prosmotra web-sajta buduschimi pol'zowatelqmi i klientami. Suschestwuet mnozhestwo preimuschestw dlq realizacii prognozirowaniq w Internete, takih kak personalizaciq web-sajta, sootwetstwuüschaq struktura sajta, biznes-analitika i t. d. Veroqtnost' tranzakcij bol'she podhodit dlq prognozirowaniq sleduüschego zaprosa pol'zowatelq. V modeli prognozirowaniq ispol'zuetsq cep' Markowa peremennoj dliny dlq predskazaniq kategorii sleduüschego sostoqniq pol'zowatelq s pomosch'ü weroqtnosti tranzakcii.

Izmeneniq w obschestwe pobuzhdaüt lüdej uchastwowat' w tworcheskih processah i äxperimentah, kotorye mogut priwesti k poqwleniü nowyh produktow, uslug ili tehnologicheskih processow. V dannoj knige rassmatriwaetsq, kak naibolee populqrnye innowacionnye peremennye ob#qsnqüt sposobnost' postawschikow produktow i uslug w oblasti informacionnyh tehnologij (IT) w klastere komp'üternoj tehniki Otigba w Lagose (Nigeriq) razrabatywat' i ispol'zowat' nowye strategii resheniq problem IT. V issledowanii takzhe izuchalas' sposobnost' respondentow priobretat', uswaiwat', preobrazowywat' i ispol'zowat' znaniq, a takzhe swqz' mezhdu ätimi sposobnostqmi i ih innowacionnost'ü. Dannye byli sobrany u 273 respondentow s pomosch'ü ankety i programmy uglublennogo interw'ü. Issledowanie podtwerzhdaet wazhnost' bolee tesnogo setewogo wzaimodejstwiq dlq peredachi znanij, pokazywaq, chto wzaimodejstwie respondentow s istochnikami znanij imeet tesnuü swqz' s ih sposobnost'ü k innowaciqm, priobreteniü, ponimaniü i ispol'zowaniü znanij. Odnako innowacionnost' operatorow w klastere ne obqzatel'no zawisit ot tradicionnyh innowacionnyh peremennyh. Sposobnost' preobrazowywat' znaniq w prikladnye programmy okazywaet znachitel'noe wliqnie na innowacionnost'.

Schaltzentrale ExcelWenn Sie viel mit Excel arbeiten, kennen Sie das Problem sicherlich: von einem anderen Menschen oder einem System erhält man Daten, die man beim besten Willen so nicht weiterverarbeiten kann. Um solche Daten zu "putzen" gibt es nun mehrere Ansatzmöglichkeiten: Man kann sie mit einem der vielen Assistenten in Excel bereinigen, mit einer Funktion oder Formel oder mit Power Query. Natürlich stehen Ihnen auch Programmiersprachen zur Verfügung - aber darum soll es in diesem Buch nicht gehen. Neben dem zentralen Thema "Daten in Form bringen", besser: die Daten so aufzubereiten, dass man mit ihnen effektiv arbeiten oder dass ein anderes System sie weiterverarbeiten kann stehen einige weitere, kleinere Themen im Zentrum:- Excel schneller machen- Power Query schneller machen- Sachen "verstecken"- Sachen finden

This book constitutes the proceedings of the 18th International Conference, ICTERI 2023, held in Ivano-Frankivsk, Ukraine, during September 18¿22, 2023.The 21 full papers included in this volume were carefully reviewed and selected from 90 submissions. The volume focuses on research advances in ICT, business or academic applications of ICT, and design and deployment of ICT infrastructures.

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops.The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

This book constitutes the proceedings of the 26th International Conference on Information Security, ISC 2023, which took place in Groningen, The Netherlands, in November 2023.The 29 full papers presented in this volume were carefully reviewed and selected from 90 submissions. The contributions were organized in topical sections as follows: privacy; intrusion detection and systems; machine learning; web security; mobile security and trusted execution; post-quantum cryptography; multiparty computation; symmetric cryptography; key management; functional and updatable encryption; and signatures, hashes, and cryptanalysis.

This book constitutes invited papers from the Second International Workshop on Frontiers in Software Engineering Education, FISEE 2023, which took place at the Château de Villebrumier, France, during January 23-25, 2023.The Editorial and the 8 papers included in this volume were considerably enhanced after the conference and during two different peer-review phases. The contributions cover the main topics of the workshop: education in technology and technology for education; new (and fearless) ideas on education; adjustments in teaching during pandemic: experience reports; models for class development; how to design learning objectives and outcomes; labs and practical sessions: how to conduct them; curriculum development; course design; quality course assessment; long-life studies in education; empirical research in SE education; experiences in starting-up new educational systems; blended education.FISEE 2023 is part of a series of scientific events held at the new LASER center in Villebrumier near Montauban and Toulouse, France.

This seven-volume set LNCS 14054-14060 constitutes the proceedings of the 25th International Conference, HCI International 2023, in Copenhagen, Denmark, in July 2023. For the HCCII 2023 proceedings, a total of 1578 papers and 396 posters was carefully reviewed and selected from 7472 submissions. Additionally, 267 papers and 133 posters are included in the volumes of the proceedings published after the conference, as ¿Late Breaking Work¿.These papers were organized in the following topical sections: HCI Design and User Experience; Cognitive Engineering and Augmented Cognition; Cultural Issues in Design; Technologies for the Aging Population; Accessibility and Design for All; Designing for Health and Wellbeing; Information Design, Visualization, Decision-making and Collaboration; Social Media, Creative Industries and Cultural Digital Experiences; Digital Human Modeling, Ergonomics and Safety; HCI in Automated Vehicles and Intelligent Transportation; Sustainable GreenSmart Cities and Smart Industry; eXtended Reality Interactions; Gaming and Gamification Experiences; Interacting with Artificial Intelligence; Security, Privacy, Trust and Ethics; Learning Technologies and Learning Experiences; eCommerce, Digital Marketing and eFinance.

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As a new interpretable model, three-way decision has also received academic attention in machine learning. With respect to different hesitant fuzzy information, this book deeply discusses the deduction process of decision rules of three-way decision and generates interpretable knowledge with the risk semantics. It further explores the applications of three-way decision to support healthcare management. This book is used as a reference for engineers, technicians, and researchers who are working in the fields of management science, operation management, computer science, information management, fuzzy mathematics, business intelligence, and other fields. It also serves as a textbook for postgraduate and senior undergraduate students of the relevant professional institutions of higher learning.

This book explores provenance, the study and documentation of how things come to be.  Traditionally defined as the origins, source, or ownership of an artifact, provenance today is not limited to historical domains.  It can be used to describe what did happen (retrospective provenance), what could happen (subjunctive provenance), or what will happen (prospective provenance). Provenance information is ubiquitous and abundant; for example, a wine label that details the winery, type of grape, and country of origin tells a provenance story that determines the value of the bottle.  This book presents select standards used in organizing provenance information and provides concrete examples on how to implement them.  Provenance transcends disciplines, and this book is intended for anyone who is interested in documenting workflows and recipes.  The goal is to empower readers to frame and answer provenance questions for their own work.  Provenance is increasingly important in computational workflows and e-sciences and addresses the need for a practical introduction to provenance documentation with simple-to-use multi-disciplinary examples and activities.  Case studies and examples address the creation of basic records using a variety of provenance metadata models, and the differences between PROV, ProvONE, and PREMIS are discussed.  Readers will gain an understanding of the uses of provenance metadata in different domains and sectors in order to make informed decisions on their use.  Documenting provenance can be a daunting challenge, and with clear examples and explanations, the task will be less intimidating to explore provenance needs.