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This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selecta

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Springer Nature Proceedings excluding Computer Science

Dieky Adzkiya

Kistosil Fahim

Applied and Computational Mathematics

ICoMPAC 2023, Sukolilo, Indonesia, September 30

&lt;p&gt;Part 1: Applied Mathematics (Control Systems, Mathematical Simulation, and Modeling).- H. Margaretha, N. Satyahadi and F. V. Ferdinand, Simulation of Investment Behaviors using Risk-Influenced Utility Models of Health and Wealth.- R. K. Dewi, I. Magdalena and I. Marcela, Wave Attenuation by a Combination of Mangroves and Reefball.- R. M. Valerio and I. Magdalena, Resonance Detection in a Semi-Closed Basin with Constant Height and Triangular Width.- R. Rahmawati, L. Harsyiah and Z. W. Baskara, Comparison of Ridge Regression and Principal Component Regression in Overcoming Multicolinierity of Factors Affecting Poverty in Indonesia.- Ahmadin, J. Naiborhu, Fatmawati and Windarto, Identification on Class Nonlinear Control System with Relative Degree Two.- A. F. Khariri, P. K. Intan, Moh. Hafiyusholeh, A. H. Asyhar and A. Fanani, Implementation of K-Means Particle Swarm Optimisation for Clustering Football Players in The Top Five European Football Leagues.- M. Widianto, C. Imron and B. Widodo, A short review of numerical modelling for photocatalytic degradation in dye systems.- S. Subchan, H. Purnawan, T. Asfihani and L. R. Amalia, Reference Tracking of Quadrotor using Modified Nonlinear Model Predictive Control based on Nonlinear Disturbance Observer.- D. Savitri, M. Jakfar and L. Putri, Numerical Simulation and Dynamics of Sedimentation Rate with Seagrass Growth Considering Dredging Factors.- H. Nuha, N. Siswanto and E. Widodo, A Mixed Integer Nonlinear Programming for Allocation Polyethylene Terephthalate (PET) Waste Management in Reverse Logistic Network.- A. Zaki Al Muntazhar, D. Ratna Sulistyaningrum and Subiono, Quantum K-Nearest Neighbors For Object Recognition.- T. Asfihani, F. N. Sihan Novita Lutfiani, A. Maulana Syafi'I, Subchan Subchan and A. Hasan, Adaptive Kalman Filter for Automated Actuator Fault Diagnosis in Unmanned Surface Vehicle.- E. R M Putri, A. Wahyu Widianto, A. Hakam, V. Ryan Tjahjono and H. Susanto, A moving average genetic algorithm (MA-GA)for estimating the COVID-19 dynamic based on a stochastic SIRD model.- A. Hakam, E. R M Putri and L. Mardiyanto, A general solution of Black-Scholes equations on some Rainbow options.- F. Ardhiansyah, R. W. Prastianto, M. Murdjito, K. Suastika and S. Nugroho, Dynamic Response of Floating Crane During Lifting Operation: A Parametric Study.- Part 2: Computational Mathematics (Formal Methods and Data Science): M. T. Ammar, M. Arzaki and G. S. Wulandari, Efficient SAT-Based Approach for Solving Juosan Puzzles.- J. E. Sakti, M. Arzaki and G. S. Wulandari, Modeling Path Puzzles as SAT Problems and How to Solve Them.- H. Tanabe and M. Kimura, A trustworthiness scoring model for reviews using a graph structure.- M. Iqbal, A. Afandy and N. Hidayat, Non-Linear Reward Deep Q Networks for Smooth Action in A Car Game.- Arthur de Clairval, L. A. Erwin Schuler, M. F. Rellier, M. Isa Irawan, I. Mukhlash and M. Iqbal, College Student Activity Recognition from Smartwatch Dataset.- A. Taryana, D. Adzkiya, M. Syifa'ul Mufid, I. Mukhlash and A. Abate, LTL Model Checking for Verification of Electronic Medical Record (EMR) Design.- G. I. Permata Sari, Hsing-Kuo Pao, R. C. Hario Pribadi and M. Iqbal, Multi-Feature Subgraph Fusion with Text Knowledge on Citation Link Prediction.- I Komang Pande Prajadhita Wibawa Putra, I. Irhamah, Nur Iriawan and K. Fithriasari, Predicting Poverty Percentage Based on Satellite Imagery and Point of Interest Using Support Vector Regression and Random Forest Regression (Case Study of Central Java Province).- M. Hutapea, G. Wulandari and M. Arzaki, Preliminary Analysis of Isabelle Proof Assistant in Graph Programming Verification with GP2.- Part 3: Pure Mathematics (Graph Theory and Analysis): T. Irvan Haryadi, R. Rinurwati, D. Winda Setyawati, S. Soleha, I. Herisman, K. Baihaqi and S. Sadjidon, Nonlocal Edge Metric Dimension on Corona Multiproduct Graphs.- N. Ain Supu, I. M. Alamsyah and E. Suwastika, The Vertex Degree of Relative g-noncommuting Graph of the Dihedral Groups.- S. Wibowo and C. R. Indrati, On Conformable Fractional Riesz Bounded p-Variation of Order- α.- H. K. Ningrum, E. Y. Asmarani, I Gede Adhitya Wisnu Wardhana, S. Salwa and Z. Y. Awanis, The Wiener Index, The Harmonic Index, and The Graph Representation of the Prime Ideal Graph for the Integers Modulo Rings with Prime Power Order.- R. Rinurwati, M. Chalid Fansury, A. Hevita G.K. Saefulloh and T. I. Haryadi, Multiplicative Sum Nano Zagreb Index of Various 2-Power Corona Graphs.&lt;br&gt;&lt;/p&gt;

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

Forum Ethik

Algorithmen entscheiden mit - auch in Fragen von Gesundheit, Teilhabe und Gerechtigkeit. In einer zunehmend datenbasierten Gesellschaft untersucht die vorliegende Arbeit die Deutungsmacht algorithmischer Systeme: Sie zeigt, wie Bias entsteht, wie Daten als soziale Produkte gesellschaftliche Normen und Vorannahmen widerspiegeln - und wie technische Systeme diese nicht nur abbilden, sondern auch bestehende Ungleichheiten verstärken können. Mit einem besonderen Blick auf medizinische KI-Anwendungen werden zentrale ethische Fragen an der Schnittstelle von Mensch, Technik, Daten und Gesellschaft in einem multiperspektivischen Zugang beleuchtet. Ein fundierter Beitrag zur Debatte um Teilhabe, Macht und Verantwortung in einer pluralen digitalen Welt.

 

 [The Power of Interpretation and Dynamics of Exclusion. Bias in Artificial Intelligence from the Perspective of a Protestant Theological Ethics of Responsibility] 
 

 How do biased algorithms shape the exclusion of already marginalised groups - and what does responsibility look like in a digital age? Drawing from a Protestant theological ethics of responsibility and with a special interest in the medical use of AI, this book explores the power of AI systems as Deutungsmacht (the power of interpretation) - shaping what is perceived as 'normal', 'neutral', and ethically unquestioned. From Prometheus to machine learning, it reveals how data, far from neutral, is a social product rooted in human history and prejudice. The book invites thoughtful engagement with the ethical challenges of AI in today's pluralistic society.

Eine verantwortungsethische Perspektive auf Dynamiken gesellschaftlicher Exklusion durch Bias in KI-Systemen

Die Deutungsmacht der Technik

Inventory Optimization

This book serves as an essential guide for both beginners and advanced learners in the field of inventory control and supply chain management. It meticulously presents the fundamental terminologies, models, and theories necessary for understanding and mastering these subjects. What sets this book apart is its incorporation of modern, updated methods rooted in probability theory and fuzzy logic, offering readers a deeper insight into the complexities of inventory and supply chain issues. Instead of focusing solely on contemporary advancements, this book explores a wide range of inventory and supply chain problems, utilizing fuzzy logic to provide innovative solutions. It thoroughly integrates the latest developments in the field, ensuring readers are equipped with the most current knowledge. Ideal for beginners, professionals, and researchers alike, this book offers a comprehensive, up-to-date resource for tackling inventory and supply chain challenges effectively.

Innovative Approaches to Inventory Control and Supply Chain Management

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Routledge Studies in Innovation, Organizations and Technology

In an era where artificial intelligence is transforming industries, this book focuses on the pivotal role AI plays in talent acquisition and workforce engagement. It brings together insights from leading scholars to demonstrate how AI enhances recruitment processes, improves employee retention, and revolutionizes workforce management, ultimately reshaping the future of work.The book offers a comprehensive examination of how AI can be effectively leveraged to identify top talent, streamline hiring processes, and foster employee engagement through personalized experiences. International contributors offer both theoretical frameworks and practical applications of AI in recruitment and retention, illustrated with real-world examples, case studies, and cutting-edge research. From optimizing hiring strategies to engaging the workforce more effectively, this book provides actionable insights that bridge academic research and industry practices.Aimed at scholars and astute professionals, particularly in the fields of human resources, business management, and organizational development, this book is an essential guide for those who want to stay ahead in the rapidly evolving world of AI-driven workforce management. By understanding and implementing AI strategies, readers can enhance their organization's talent acquisition and retention capabilities, fostering a more dynamic and engaged workforce.

Enhancing Workforce Engagement

Talent Acquisition and AI

Dieses Buch bietet einen tiefgehenden Einblick in die Dynamik der chinesischen Volkswirtschaft. Es untersucht den Reformkurs und die wirtschaftlichen Leistungen Chinas seit der Reform- und Öffnungspolitik von Deng Xiaoping im Jahr 1978 bis hin zu den gegenwärtigen Herausforderungen unter Präsident Xi Jinping. Die Leser erhalten ein umfassendes Verständnis der zweitgrößten Volkswirtschaft der Welt, die das 21. Jahrhundert maßgeblich prägt und weiter prägen wird.In drei aufeinander aufbauenden Teilen gegliedert, behandelt das Buch zentrale Konzepte und Fragen: Wie hat sich China von einer Plan- zu einer Marktwirtschaft entwickelt? Welche Mechanismen bestimmen die heutige chinesische Volkswirtschaft? Und welche Herausforderungen und Chancen bietet das neue Wachstumsmodell der Zukunft? Mit seinen fundierten Analysen bietet es wertvolle Einblicke für alle, die den Aufstieg der chinesischen Volkswirtschaft und ihre Bedeutung für die Weltwirtschaft verstehen wollen.Der Inhalt<ul><li>Reform und Öffnung: Eine Frage von ‘Leben oder Tod‘</li><li>Der Unternehmenssektor</li><li>Die Außenwirtschaft</li><li>Chinas Wirtschaftspolitik der Zukunft</li></ul>
 Die Autoren
 Horst Löchel
 ist Professor für Volkswirtschaftslehre und Co-Vorsitzender des Sino-German Centre an der Frankfurt School of Finance and Management. Er hat viele Jahre in China gelebt und gearbeitet und war Vize-Präsident des Shanghai International Banking and Finance Institute (SIBFI) und Professor an der China Europe International Business School (CEIBS) in Shanghai.
 Tim Jablonski 
 war wissenschaftlicher Mitarbeiter am Sino-German Centre an der Frankfurt School of Finance and Management. Er hat einen M.A. in „China Language and Economy“ von der Universität Würzburg und hat anschließend mehrere Jahre in China gelebt und gearbeitet. Seine aktuelle Forschung konzentriert sich auf Chinas Innovations- und Industriepolitik.

Vergangenheit, Gegenwart und Zukunft

Der Aufstieg der chinesischen Volkswirtschaft

Studieren, aber richtig

Künstliche Intelligenz sinnvoll in den wissenschaftlichen Schreibprozess zu integrieren, ohne dabei die Verantwortung für den eigenen Text abzugeben – wie das gelingt, zeigt Isabella Buck in ihrem Buch. 
Sie erklärt Begrifflichkeiten und Funktionsweisen und geht auf Herausforderungen bei der Anwendung, wie ethische und datenschutzrechtliche Aspekte, ein. Anschließend erläutert sie verschiedene Nutzungsmöglichkeiten von generativer KI beim wissenschaftlichen Schreiben und zeigt, wie Prompting gelingen kann. In der zweiten Auflage hat sie neueste wissenschaftliche Studien integriert und das Kapitel über Prompting um einen Abschnitt zum Context Engineering ergänzt.
Ein aufschlussreiches Buch für Studierende mit erster Erfahrung im wissenschaftlichen Schreiben und Promovierende aller Fachrichtungen.

Wissenschaftliches Schreiben mit KI

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceMore than 90 percent of businesses surveyed say they want to capitalize on data--but two-thirds admit to feeling stuck. What these leaders do not realize is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that this success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with the book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

Synthesis Lectures on Digital Circuits & Systems

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.

This book, "Arduino V: AI and Machine Learning," second edition, is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Arduino V: Machine Learning, 2ed

This textbook aims to introduce radiographers to the basic principles, ethics, governance and clinical applications of Artificial Intelligence (AI) across different medical imaging modalities including advantages, challenges and future work needed for AI implementation. It is an essential resource for all clinical practitioners, educators, academics, researchers and students, working in medical imaging and radiotherapy, providing a coherent, evidence-based, comprehensive guide to current and future practice. Understanding both technical and practical aspects of AI through case studies enables safe and effective patient care, state-of-the-art academic radiography education, enhanced interdisciplinary team communication and collaboration, and appreciation of the accountability involved when employing AI models.&nbsp; This textbook also offers insights into the impact on careers, future roles and staff and patient acceptability. It also stresses person-centredness as paramount for AI integration into clinical radiography in a chapter co-produced with patients. Furthermore, it offers the perspectives, supportive statements and AI resources of different national and international organisations, professional bodies and learned societies. Moreover, a chapter led by industry experts brings a unique view on requirements for AI innovation and commercialisation, aiming to inspire hopeful innovators and entrepreneurs. Finally, the textbook discusses the changing role, responsibilities and competencies of radiographers in a future with AI. It highlights the need to update academic curricula, research priorities and policy to reflect the change of clinical practice and prepare the workforce for a digital future. 
The editors would like to sincerely thank Dr Charlotte Beardmore, Professor Patrick Brennan, Edward Chan, Samar ElFarra, Dr Kori Stewart, all renowned world leaders in radiography research, education, policy and practice for their kind forewords. This work is written by the global radiography community as an offering for all radiographers.

This textbook aims to introduce radiographers to the basic principles, ethics, governance and clinical applications of Artificial Intelligence (AI) across different medical imaging modalities including advantages, challenges and future work needed for AI implementation. It is an essential resource for all clinical practitioners, educators, academics, researchers and students, working in medical imaging and radiotherapy, providing a coherent, evidence-based, comprehensive guide to current and future practice.
 
 Understanding both technical and practical aspects of AI through case studies enables safe and effective patient care, state-of-the-art academic radiography education, enhanced interdisciplinary team communication and collaboration, and appreciation of the accountability involved when employing AI models.&nbsp;
 
 This textbook also offers insights into the impact on careers, future roles and staff and patient acceptability. It also stresses person-centredness as paramount for AI integration into clinical radiography in a chapter co-produced with patients. Furthermore, it offers the perspectives, supportive statements and AI resources of different national and international organisations, professional bodies and learned societies. Moreover, a chapter led by industry experts brings a unique view on requirements for AI innovation and commercialisation, aiming to inspire hopeful innovators and entrepreneurs.
 
 Finally, the textbook discusses the changing role, responsibilities and competencies of radiographers in a future with AI. It highlights the need to update academic curricula, research priorities and policy to reflect the change of clinical practice and prepare the workforce for a digital future. 
 
 The editors would like to sincerely thank Dr Charlotte Beardmore, Professor Patrick Brennan, Edward Chan, Samar ElFarra, Dr Kori Stewart, all renowned world leaders in radiography research, education, policy and practice for their kind forewords. 
 
 This work is written by the global radiography community as an offering for all radiographers.

Basic Principles, Clinical Applications and Implementation Considerations

Artificial Intelligence for Radiographers

This book responds to the need to distinguish human creations from those produced by AI. It does so by tracing human attributes of authorship and inventorship in statutory requirements for protection and ownership in European copyright and patent laws. Its main contribution lies in exposing shortcomings in how the laws are applied in the UK, Germany, and France. It shows that the human origin of creations is traditionally inferred from their expressive form or technical character. Given the advancements in AI, such inferences are no longer legitimate. What is more, these shortcomings may eventually lead to granting copyright or patent protection where none is lawfully permitted or sufficiently justified. To remedy the situation, this book offers doctrinal and conceptual amendments and proposes law reforms to implement them. This book guides authorities, practitioners, and students through the main arguments of the debate concerning copyright and patents for objects entirely or partly generated by AI. It also makes original contributions to advance the ongoing academic and policy debates on AI and intellectual property law.

Authorship and Inventorship Revisited

Copyright and Patent Laws for the Age of Artificial Intelligence

Rapidly transform your analytics teams to deliver AI-driven insights.

The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capabilities with the demands of an AI-powered business environment. Written for leaders accountable for data, analytics and business intelligence, this book provides tools for diagnosing capability gaps among data analytics teams, modernizing legacy stacks and delivering AI-driven insights to help organizations make better decisions. 

You'll learn how to:
- Diagnose skills gaps and map AI-augmented career paths
- Integrate modern AI tools with existing analytics stacks
- Launch six revenue-driving and cost-focused pilots in 90 days
- Embed ISO and NIST-aligned governance without slowing innovation
- Apply ROI calculators, governance checklists and sprint planners

Drawing on expert insights and real-world applications, this book helps you upskill your analysts, strengthen AI governance and provide AI-driven insights that drive real results.

Themes include: AI strategy, data governance, analytics leadership, ROI from AI, organizational transformation, executive decision-making

Improve Your Analytics with AI

The Ai-Driven Data Team

Applied and Computational Mathematics

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