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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks

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Business and Management (R0)

Xiyuan Ma

Desheng Wu

Financial Fraud Detection Using Machine Learning

&lt;p&gt;&amp;nbsp;Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models and Applications.- Financial Fraud Detection Based on Litigation and Resampling Methods.- Financial Fraud Detection Based on Feature Selection and the GONE Framework.- Financial Fraud Detection Based on Multi-Source Data.- The Classical Case of Financial Fraud.&lt;/p&gt;

Energy (R0)

Muhammad Hussain

Tieling Zhang

Uzma Nazir

Inspection, Risk Assessment, and Mitigation for Future Energy Infrastructure

Hydrogen Pipeline Integrity

Essentials

Dieses essential zeigt, wie aus Sicherheits- und Risikomanagement ein gemeinsames Steuerungssystem entsteht, welches Doppelaufwände senkt, Prioritäten klärt und den Wiederanlauf nach Störungen beschleunigt. Der integrierte Risk-to-Resilience-Ansatz vereint Governance, gemeinsame Bewertungsregeln, wirksame Maßnahmensteuerung sowie Normbezüge zu ISO 31000, ISO 27001, ISO 22301, NIS 2 und RKE.
Der Inhalt
<ul>
<li>Herausforderungen, Silos und Konfliktfelder im Sicherheits- und Risikoumfeld</li>
<li>Big Picture und Prozess Risk-to-Resilience</li>
<li>Governance, Rollenmodell und gemeinsame Sprache</li>
<li>Risikokriterien, Skalen und Task Management</li>
<li>Incident, Notfall, Krise sowie Business Continuity Management (BCM)</li>
<li>Resilienzprinzipien und Umsetzung</li>
</ul>
Die Zielgruppen
<ul>
<li>Verantwortliche für Sicherheit, Risiko, BCM, Resilienz, Compliance sowie Cyber und Informationssicherheit</li>
<li>Interessierte, die sich in diesen Bereichen gezielt weiterbilden möchten</li>
</ul>
Der Autor
Manuel Lechner verbindet Ausbildung mit Praxis aus Beratung und Konzernumfeld. Er entwickelt integrierte Sicherheits-, Risiko- und Resilienzkonzepte, verbindet Cyber und Informationssicherheit mit physischer Sicherheit und Governance, führt Risk Assessments durch und leitet daraus technische, organisatorische und personelle Maßnahmen ab. Er studierte Integriertes Sicherheitsmanagement an der FH Campus Wien und Information Security Management an der FH Hagenberg. Mit Cyber Risk Instructor ML e.U. vermittelt er Grundlagenwissen in Online-Schulungen.
&nbsp;

Vom Risiko zur Resilienz mit einem integrierten Ansatz

Integriertes Sicherheits- und Risikomanagement

Mathematics and Statistics (R0)

Albert Cohen

Sooie-Hoe Loke

Actuarial Science, Mathematical Finance, and Sports Analytics

An Invitation to Undergraduate Research in Risk Management

THE INSTANT SUNDAY TIMES BESTSELLER'A masterpiece' Rory Sutherland, author of AlchemyWhat if everything you've been told about money is wrong?Here, a leading investor reveals what the wealthiest people know about money - but most of us don't. From why cutting down your spending will never make you rich, to why buying your own home might not be such a good idea after all, Rob Dix cuts through the bullshit to identify an alternative path to lasting wealth.__'A brilliant read that is equally engaging, informative and accessible. This book will make you revisit, reconsider and maybe even refresh your thinking on some of the things you always thought you knew about money and investing.' Jack Meaning, co-author of Can't We Just Print More Money?'A lively take on modern money management from a gifted storyteller, filled with intriguing financial predictions.' Claer Barrett, author of What They Don't Teach You About Money

And the Truth About Finding Financial Freedom

Seven Myths About Money

Business and Economics (German Language)

Mahmut Arica

Klaus Friedrich

Wolf-Dieter Hiemeyer

Marcus Stumpf

Einsatzmöglichkeiten von KI in Marketing und Vertrieb

Marketing & Sales Innovation 2026

Artificial Intelligence is no longer a future concern—it’s a present-day disruptor. As vendors and partners increasingly adopt AI-enabled products and services, third-party and supply-chain risk professionals face a new challenge: managing a rapidly evolving risk landscape with limited guidance. This book delivers the clarity and structure needed to navigate that complexity.
Designed for business professionals—not just technologists—this practical guide walks readers through the full lifecycle of AI-related vendor risk, from intake to offboarding. With hands-on examples, actionable templates, and real-world use cases, it equips readers to assess and manage AI risk confidently, even in environments without dedicated IT security teams. It also explores how AI can be used within TPRM programs to enhance efficiency and accuracy.
As regulatory frameworks around AI continue to emerge and evolve, this book provides timely insight into compliance expectations and how they impact risk programs and leadership. Whether you're a seasoned risk manager or new to the field, you’ll find concise, jargon-free guidance that respects your time and delivers immediate value.
AI may be complex, but managing its risk doesn’t have to be. This book transforms confusion into clarity, helping you turn disruption into opportunity—and build a resilient, future-ready risk management program.
What You Will Learn:
How to measure risk and risk-based approaches.
Third-party risk frameworks.
How to assess the risk of AI with vendors.
Major AI risk management frameworks.
Regulatory guidance for AI--a country-by-country analysis.

Who This Book Is for:
· C-level suite: this is not designed to be overly technical but covers material enough to allow this level to be conversant in strategy and leadership needs to success.
· Director-level in Cyber and IT: this level of personnel are above the individual contributors (IC) and require the information in this book to translate the strategy goals set by C-suite and the tactics required for the ICs to implement and govern.
· GRC leaders and staff: the focus on governance in this book will assist these teams to better understand the strategy and technologies to determine the governance models needed. 
· Individual Contributors: although not designed to be a technical manual for engineering staff, it does provide a Rosetta Stone for them to understand how important strategy and governance are to

Solutions for Assessing and Managing Your AI Vendors and Systems

AI and Third-Party Risk

Economics and Finance (R0)

James W. Kolari

Wei Liu

Jianhua Z. Huang

Huiling Liao

Using Machine Learning to Explain Stock Market Anomalies

Asset Pricing Models and Market Efficiency

IT Security can appear daunting to most when starting, the sheer amount of information, product types, threats and techniques used for hacking leaves one wondering where to start. This book aims to shortcut that complexity and offer in one volume everything one needs to know on how to setup a good Cybersecurity architecture and defences so as to prevent breaches and attacks.Theory is explained, but emphasis is given as to implement this in a practical manner, so that the reader can take these lessons and apply them immediately.By distilling a complex subject into its essential building blocks, this book makes advanced concepts accessible without sacrificing rigor. It is an invaluable guide for cybersecurity professionals looking to strengthen their foundations and apply these principles in practice, particularly as AI and technologies continue to reshape the security landscape.
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 
 Jikyeong Kang
 , President and Dean, Asian Institute of Management
 A practical and comprehensive guide that bridges the gap between cybersecurity theory and real-world implementation. Covering both IT and OT environments, this book equips security professionals and technology leaders with the knowledge needed to build resilient security programs in an increasingly complex threat landscape.
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 
 Muthukumar Natarajan
 , Field CTO,&nbsp; AMEA, Trend AI
 IT security has become notoriously difficult to grasp because everything feels like a high-risk emergency. This book changes that. By dissecting security down to its absolute essentials, it gives readers a comprehensive understanding of modern technology, implementation strategies, and the niche realities of IT/OT convergence. Written by a seasoned CIO who has lived through the trenches of tech evolution.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Engr. Jojo Nufable
 , ECE, CMC, CCISO, EMBA,&nbsp; Founding Board Director &amp; Internal VP, Cyber Security Council of the Philippines

The Cybersecurity Companion to IT and OT

SO SHOCKING IT WASN'T ORIGINALLY PUBLISHED - AVAILABLE FOR THE FIRST TIME IN THE UK. The book behind the headlines. The story the powerful hoped would disappear. Written by the world's bestselling storyteller James Patterson, this is the original and definitive account of how Epstein built his fortune, abused his power, and evaded justice for years - hiding in plain sight among the global elite.Drawing on original police interviews, court documents and victims' testimonies, the book traces the earliest investigations, Epstein's guilty plea and the shockingly lenient sentence that allowed his crimes to continue. Filthy Rich is also a chilling examination of how power protects itself - and how institutions failed those most vulnerable.An instant New York Times bestseller and the basis of the hit Netflix documentary series, this updated edition includes a new introduction covering Epstein's final arrest and death in custody.

The Jeffrey Epstein Story

Filthy Rich

Clinical Intelligence for Attorneys introduces a more disciplined way to interpret medical records, evaluate clinical evidence, and make better-informed litigation decisions.
Attorneys routinely receive thousands of pages of medical records, yet the volume of documentation does not guarantee clarity. Important clinical relationships may be buried across multiple facilities, providers, specialties, and episodes of care. A chronology may show what was documented, but it does not necessarily explain what the evidence means, what should have occurred, or whether an alleged failure materially affected the outcome.
This book bridges that gap.
Michelle Carroll presents Clinical Intelligence as a structured method for examining medical evidence through the combined analysis of record integrity, patient baseline, timeline reconstruction, standard of care, regulatory responsibility, and causation.
Written for attorneys handling medical malpractice, personal injury, wrongful death, long-term care, healthcare liability, and other medically complex matters, this book explains how to move beyond surface-level record review and identify the clinical issues that may strengthen, weaken, or fundamentally change a case.
Readers will learn how to:
Understand the difference between medical documentation and clinical reality.
Recognize missing, inconsistent, duplicated, or unreliable records.
Establish the patient's true clinical baseline before evaluating injury or deterioration.
Identify critical decision points and missed opportunities within the timeline.
Distinguish an adverse outcome from a potential breach in the standard of care.
Evaluate whether regulatory and organizational failures contributed to the event.
Separate clinical correlation from legally meaningful causation.
Ask more precise questions of clinicians, experts, witnesses, and opposing counsel.
Determine when the evidence supports further investment, early resolution, or strategic withdrawal.
Clinical Intelligence does not replace legal judgment, expert testimony, or clinical expertise. It strengthens the attorney's ability to use each of them more effectively.
By learning to see the medical record as an interconnected clinical system rather than a collection of documents, attorneys can evaluate cases earlier, prepare more effectively, reduce avoidable assumptions, and make litigation decisions with greater clarity and confidence.

Clinical Intelligence for Attorneys

Financial Fraud Detection Using Machine Learning

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