Best Selling Books by Hoang Nguyen

With wit, wisdom, and a “weird” approach through absurdity, Wild Wise Weird fosters readers’ awareness, self-reflection, informational connectivity, and even inspires them to confront stupidity to uncover wisdom. It may even inspire some readers to take up the pen. This book has the potential to resonate with readers, especially younger ones, embedding ecological sustainability in their humanistic values through the humor, vibrancy, and absurdity of its bird characters, as well as the wisdom woven throughout.

A View from the Bottom offers a major critical reassessment of male effeminacy and its racialization in visual culture. Examining portrayals of Asian and Asian American men in Hollywood cinema, European art film, gay pornography, and experimental documentary, Nguyen Tan Hoang explores the cultural meanings that accrue to sexual positions. He shows how cultural fantasies around the position of the sexual "bottom" overdetermine and refract the meanings of race, gender, sexuality, and nationality in American culture in ways that both enable and constrain Asian masculinity. Challenging the association of bottoming with passivity and abjection, Nguyen suggests ways of thinking about the bottom position that afford agency and pleasure. A more capacious conception of bottomhood—as a sexual position, a social alliance, an affective bond, and an aesthetic form—has the potential to destabilize sexual, gender, and racial norms, suggesting an ethical mode of relation organized not around dominance and mastery but around the risk of vulnerability and shame. Thus reconceived, bottomhood as a critical category creates new possibilities for arousal, receptiveness, and recognition, and offers a new framework for analyzing sexual representations in cinema as well as understanding their relation to oppositional political projects.

The book examines the psycho-religious mechanism behind the violent extremism of suicide attacks in the post-9/11 world. It employs the mindsponge concept, an original dataset, and original research results obtained from the authors'' statistical investigations using the Hamiltonian Markov chain Monte Carlo technique. It provides insights and implications for policymakers and strategists in their efforts to engage in peace talks and reduce violent conflicts worldwide.

The contribution of the data paper publishing paradigm to the knowledge generation and validation processes is becoming substantial and pivotal. In this paper, through the information-processing perspective of Mindsponge Theory, we discuss how the data article publishing system serves as a filtering mechanism for quality control of the increasingly chaotic datasphere. The overemphasis on machine-actionality and technical standards presents some shortcomings and limitations of the data article publishing system, such as the lack of consideration of humanistic values, radical race for big data, and inadequate use of expertise in data evaluation. Without addressing the shortcomings and limitations, the reusability of data will be hindered, and scientific investment to facilitate data sharing will be wasted. Thus, we suggest that the current data paper publishing paradigm needs to be updated with a new philosophy of data.

The major global challenges of our time, like climate and environmental crises, rising inequality, the emergence of disruptive technologies, etc., demand interdisciplinary research for effective solutions. A clear understanding of value is essential for guiding socio-cultural and economic transitions to address these issues. Despite numerous attempts to define value, existing approaches remain inconsistent across disciplines and lack a comprehensive framework. This paper introduces a novel perspective on value through the lens of granular interaction thinking theory, proposing an informational entropy-based notion of value. Grounded on quantum mechanics, Shannon’s information theory, and the mindsponge theory, this framework integrates both subjective and objective considerations and is highly compatible with interdisciplinary research. The informational entropy-based notion of value effectively bridges diverse concepts of value, including use and exchange value in economics, personal values in psychology, and cultural, moral, ethical, and aesthetic values in society. By offering a unifying perspective, granular interaction thinking theory provides a valuable framework for translating insights from quantum mechanics into socio-cultural, economic, and psychological contexts, enriching theoretical discourse and enhancing analytical effectiveness.

Climate change, primarily driven by human activities, is becoming one of the most urgent global challenges of our time. Over the past decade, significant efforts have been made to address the climate change crisis, resulting in certain impacts in combating climate change and raising awareness about its consequences. This paper critically assesses global climate mitigation efforts, highlighting both achievements and persistent shortcomings. Despite growth in renewable energy, international agreements, and technological innovation, as well as a carbon market, greenhouse gas emissions remain at record highs, and climate impacts continue to accelerate. Key strategies that predominantly rely on a growth-oriented paradigm and technological solutions have fallen short, often reinforcing existing exploitation paradigms rather than transforming them. Drawing on Granular Interaction Thinking Theory (GITT), the paper proposes transitioning from an eco-deficit to an eco-surplus culture—one that views ecological restoration and protection as fundamental for socio-economic well-being and development. Mitigating climate change requires not only scaling proven solutions but also reimagining socio-economic and governance structures to align with planetary boundaries and long-term sustainability.

Super-Resolution imaging refers to modern techniques of achieving resolution below conventional limits. This book gives a comprehensive overview of mathematical and computational techniques used to achieve this, providing a solid foundation on which to develop the knowledge and skills needed for practical application of techniques. Split into five parts, the first looks at the mathematical and probabilistic tools needed, before moving on to description of different types of imaging; single-wave, anomaly, multi-wave and spectroscopic and nanoparticle.As an important contribution to the understanding of super-resolution techniques in biomedical imaging, this book is a useful resource for scientists and engineers in the fields of biomedical imaging and super-resolution, and is self-contained reference for any newcomers to these fields.

Learning from the quantum and information theories, we provide a new definition of value, which is expected to help economists relax assumptions and loosen established economic principles in order to change and evolve. The new definition is also expected to enable social scientists to address newly arising phenomena or events that are not accounted for by existing value systems, such as environmental crises, artificial intelligence (AI), and interdisciplinary information, more proactively and productively. We hope that, by incorporating the quantum physics perspective into the interpretation of information and value, social scientists, particularly economists, will offer more reliable predictions and advice for societal transitions toward sustainability. Hanoi, July 21, 2024

The purpose of this thesis is to develop an algorithm to compute all the characteristic numbers of genus one curves in projective spaces of arbitrary dimension. The characteristic numbers of genus zero curves, genus zero curves with an ordinary node, genus zero curves with an ordinary cusp are also computed en route.

This data collection comprises of Amazon reviews of the book titled “Wild Wise Weird.” These reviews will be analyzed and updated to identify factors driving people to love a fiction book. Wild Wise Weird is a collection of 42 fables that blends traditional storytelling with modern sensibilities, weaving together life lessons, humor, and social commentary.

This discussion shows that a new approach to an enlarged definition (or view or notion) will likely empower us to more effectively consider different notions of value across research or professional disciplines--economic, socio-cultural, or humanistic--under a more enabling theoretical paradigm. It is because now the key ingredients, i.e., information, quantum states, interactions, information entropy, and probabilistic assignments, will help build productive thinking apparatuses from basic granules. ~~~ Please cite it as: Vuong, Q. H., & Nguyen, M. H. (2024). Further on informational quanta, interactions, and entropy under the granular view of value formation. https://ssrn.com/abstract=4922461

Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain expertise in identifying and modeling patterns that generate success Explore the concepts with Python using important libraries such as stats models Learn how to build models on real-world data sets and find solutions to practical challenges Book DescriptionThe ability to proficiently perform statistical modeling is a fundamental skill for data scientists and essential for businesses reliant on data insights. Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in data assessment, understanding, and inference generation. This book not only equips you with skills to navigate the complexities of statistical modeling, but also provides practical guidance for immediate implementation through illustrative examples. Through emphasis on application and code examples, you’ll understand the concepts while gaining hands-on experience. With the help of Python and its essential libraries, you’ll explore key statistical models, including hypothesis testing, regression, time series analysis, classification, and more. By the end of this book, you’ll gain fluency in statistical modeling while harnessing the full potential of Python''s rich ecosystem for data analysis.What you will learn Explore the use of statistics to make decisions under uncertainty Answer questions about data using hypothesis tests Understand the difference between regression and classification models Build models with stats models in Python Analyze time series data and provide forecasts Discover Survival Analysis and the problems it can solve Who this book is forIf you are looking to get started with building statistical models for your data sets, this book is for you! Building Statistical Models in Python bridges the gap between statistical theory and practical application of Python. Since you’ll take a comprehensive journey through theory and application, no previous knowledge of statistics is required, but some experience with Python will be useful.

Bachelorarbeit aus dem Jahr 2018 im Fachbereich BWL - Offline-Marketing und Online-Marketing, Note: 1,3, Ostbayerische Technische Hochschule Regensburg (Ostbayerische Technische Hochschule Amberg-Weiden Abt. Weiden), Sprache: Deutsch, Abstract: Die Bachelorarbeit mit dem Titel „Der Einsatz von Augmented Reality als Kommunikationsmittel – ein zukünftiger Standard im Marketing?“ von Hoang Anh Nguyen erscheint 2018 im Rahmen des Studiums der Betriebswirtschaftslehre mit den Schwerpunkten Kundenmanagement und strategisches Management und umfasst 56 Seiten. Die Arbeit untersucht die Entwicklung und den aktuellen Stand von Augmented Reality, ihre Anwendungsgebiete, bereits umgesetzte sowie zukünftige Einsatzmöglichkeiten. Dabei wird der Frage nachgegangen, wie diese Technologie speziell in der Marketingkommunikation für die Präsentation der Produkte und Angebote eingesetzt werden und sich in Zukunft als Standard im Marketing etablieren kann.

Masterarbeit aus dem Jahr 2018 im Fachbereich BWL - Rechnungswesen, Bilanzierung, Steuern, Note: 2,0, Universität Osnabrück (Fachgebiet Bilanz-, Steuer- und Prüfungswesen), Sprache: Deutsch, Abstract: Das Ziel der vorliegenden Arbeit ist es, die Besteuerung von (Publikums-)Investmentfonds und ihrer Anleger nach dem neuen Investmentsteuergesetz darzustellen. Mithilfe eines Fallbeispiels soll darüber hinaus aufgezeigt werden, wie sich die neue Investmentbesteuerung auf die Steuerlast des (Publikums-)Investmentfonds sowie von deren Anlegern auswirkt. Die vorliegende Arbeit besteht aus insgesamt acht Kapiteln. In Kapitel 2 werden zunächst eine Kurzcharakterisierung sowie die zivilrechtliche und steuerrechtliche Grundkonzeption eines Investmentfonds beschrieben. Anschließend befasst sich Kapitel 3 mit den Grundlagen der Investmentbesteuerung. Dazu wird zunächst im Abschnitt 3.1 das Verhältnis zum Kapitalanlagegesetzbuch dargestellt. Im nächsten Schritt beschäftigt sich Abschnitt 3.2 mit den Grundprinzipien des neuen Investmentsteuergesetzes. In Abschnitt 3.3 werden die Gründe und die Ziele der Investmentsteuerreform nahegelegt und abschließend wird in Abschnitt 3.4 der Anwendungsbereich des neuen Investmentsteuergesetzes erläutert. In Kapitel 4 findet die Darstellung der intransparenten Besteuerung von (Publikums-)Investmentfonds statt. Dazu wird in Abschnitt 4.1 zunächst ein Überblick gegeben. Darauf folgt Abschnitt 4.2 mit der Untersuchung der Besteuerung des (Publikums-)Investmentfonds mit der Körperschaftsteuer. Abschnitt 4.3 zeigt die Besonderheiten bei einer Beteiligung von steuerbegünstigten Anlegern auf, bevor in Abschnitt 4.4 die Besteuerung des (Publikums-)Investmentfonds mit der Gewerbesteuer dargestellt wird. Die Besteuerung der Anleger eines (Publikums-)Investmentfonds wird in Kapitel 5 widergespiegelt. Abschnitt 5.1 gibt zunächst einen Überblick über das Kapitel, bevor sich Abschnitt 5.2 mit den zu besteuernden Investmenterträgen aus dem (Publikums-)Investmentfonds auseinandersetzt. Abschließend wird in Abschnitt 5.3 die Erläuterung der Teilfreistellung für die jeweiligen Anleger vorgenommen. Im sechsten Kapitel wird die Besteuerung des (Publikums-)Investmentfonds sowie von deren Anlegern an einem konkreten Fallbeispiel illustriert. In Kapitel 7 wird das neue Investmentsteuergesetz kritisch gewürdigt, bevor im achten und damit letzten Kapitel die Ergebnisse der vorliegenden Arbeit zusammengefasst werden.

Projektarbeit aus dem Jahr 2017 im Fachbereich BWL - Offline-Marketing und Online-Marketing, Note: 1,7, Ostbayerische Technische Hochschule Regensburg, Sprache: Deutsch, Abstract: Schon der deutsche Gebrauchsphilosoph Klaus Klages (*1938) wusste: „Plagiate sind Ideen, die Vorfahren haben“. Zu Zeiten steigender Wichtigkeit von etablierten Produkten und Dienstleistungen bei Kaufentscheidungen, korreliert die Gefahr der Nachahmung hierzu positiv. Vor allem in den Ländern des asiatischen Raums werden Produkte von etablierten Unternehmen kopiert und für einen Bruchteil des Händlerpreises auf den Markt gebracht. Diese Unternehmen erleiden hierdurch einen erheblichen Schaden, der bis zu 20 Prozent betragen kann. Allein in Deutschland liegt der dadurch verursachte Schaden im Jahr jenseits der Milliarden Euro. Längst wird nicht mehr nur von Handtaschen oder Uhren geredet, gleichermaßen werden technische Erfindungen nachgebildet. Um einen solchen Schaden und derartige Nachahmungen in Form von Plagiaten zu reduzieren, haben Unternehmen die Möglichkeit, den gewerblichen Rechtsschutz des Deutschen Patent- und Markenamts zu nutzen. Hierzu werden verschiedene Arten des Rechtsschutzes angeboten. Diese gehen von Patenten, Gebrauchs- und Geschmacksmuster über Markenschutz und finden jeweils in bestimmten Bereichen ihre Verwendung.

From Illustrator, Character Designer and Comic Artist Hoang Nguyen. Hoang''s gorgeously evocative paintings are on display here in all their glory, as well as his comic book artwork.

The Deluxe Boxed Set for the official Carbon Grey RPG.

This paper analyses the international linkages of the Korean economy using the GVAR model developed by Greenwood-Nimmo, Nguyen and Shin (2012a, J. Appl. Econometrics). By employing a combination of generalized impulse response analysis and forecast error variance decompositions, we uncover a number of interesting phenomena. Among our most important results are the findings that the real economy and the financial markets are highly sensitive to the oil price even though it has little effect on inflation and that the interest rate is set largely without recourse to overseas conditions except to the extent that they are captured by the exchange rate. We find that the dominant sources of overseas influence on the Korean economy are the US, the Eurozone, Japan and China. Korea''s complex and open linkages with these countries will inevitably pose challenges for domestic economic management and stabilization policy faced by the Korean monetary and fiscal authorities.

A concise introduction to the core concepts in digital communication, providing clarity and depth through examples, problems and MATLAB exercises.

"We generalize the portfolio shifts model advanced by Evans and Lyons (2002a; b), and develop the dynamic asymmetric portfolio shifts (DAPS) model by explicitly allowing for possible market under- and overreactions and for asymmetric pricing impacts of order flows. Using the Reuters D2000-1 daily trading data for eight currency markets over a four-month period from 1 May to 31 August 1996, we find strong evidence of a nonlinear cointegrating relationship between exchange rates and (cumulative) order flows: The price impact of negative order flows (selling pressure) is overwhelmingly stronger than that of the positive ones (buying pressure). Through the dynamic multiplier analysis, we find two typical patterns of the price discovery process. The markets following overreactions tend to display a delayed overshooting and a volatile but faster adjustment towards equilibrium whereas the market following underreactions are generally characterized by a gradual but persistent adjustment. In our model, these heterogeneous adjustment patterns reflect different liquidity provisions associated with different market conditions following under- and overreactions. In addition, the larger is the mispricing, the faster is the overall adjustment speed, a finding consistent with Abreu and Brunnermeier (2002) and Cai et al. (2011). We also find that underreactions are followed mostly by positive feedback trading while overreactions are characterized by delayed overshooting in the short run but corrected by negative feedback trading at longer horizons, the finding is consistent with Barberis et al. (1998) who show that positive short-run autocorrelations (momentum) signal underreaction while negative long-run autocorrelations (reversal) signal overreaction."--Abstract.