The Social Construction of Sarbanes-Oxley

The closer one looks at SOX and its origins in the financial scandals of the early 2000s, the blurrier the picture, which lets commentators see what they want to see and draw inferences accordingly. That is why social construction is so crucial. My aim in this paper is to illuminate the social nature of SOX\u27s diffusion into practice. I will leave to the reader the judgment about whether this has been or will be good or bad, and for whom. If I seem to challenge SOX\u27s critics more than its supporters, it is because the critics have been more venomous than is fair. Venom aside, the bite still deserves attention

Eigenvector localization as a tool to study small communities in online social networks

We present and discuss a mathematical procedure for identification of small "communities" or segments within large bipartite networks. The procedure is based on spectral analysis of the matrix encoding network structure. The principal tool here is localization of eigenvectors of the matrix, by means of which the relevant network segments become visible. We exemplified our approach by analyzing the data related to product reviewing on Amazon.com. We found several segments, a kind of hybrid communities of densely interlinked reviewers and products, which we were able to meaningfully interpret in terms of the type and thematic categorization of reviewed items. The method provides a complementary approach to other ways of community detection, typically aiming at identification of large network modules

The Chronicle [May 29, 1970]

The Chronicle, May 29, 1970https://repository.stcloudstate.edu/chron/2692/thumbnail.jp

Brief fof the R Street Institutte, Public Knowledge, and the Niskanen Center as Amici Curiae in Support of Petitioner

The Java SE declarations of this case are simply a language of commands. As an application programming interface, or API, they exhibit features common to any language: a structured vocabulary and grammatical syntaxes, which a computer system understands as instructions to perform predefined tasks. What Oracle accuses as infringement is “reimplementation,” namely the building of a system, in this case Google’s Android platform, that repurposes the same words and syntaxes of the Java declarations

The Deregulation of Private Capital and the Decline of the Public Company

From its inception, the federal securities law regime created and enforced a major divide between public and private capital raising. Firms that chose to “go public” took on substantial disclosure burdens, but in exchange were given the exclusive right to raise capital from the general public. Over time, however, the disclosure quid pro quo has been subverted: Public companies are still asked to disclose, yet capital is flooding into private companies with regulators’ blessing. This Article provides a critique of the new public-private divide centered on its information effects. While regulators may have hoped for both the private and public equity markets to thrive, they may instead be hastening the latter’s decline. Public companies benefit significantly less from mandatory disclosure than they did just three decades ago, because raising large amounts of capital no longer requires going and remaining public. Meanwhile, private companies are thriving in part by free-riding on the information contained in public company stock prices and disclosure. This pattern is unlikely to be sustainable. Public companies have little incentive to subsidize their private company competitors in the race for capital--and we are already witnessing a sharp decline in initial public offerings and stock exchange listings. With fewer and fewer public companies left to produce the information on which private companies depend, the outlook is uncertain for both sides of the securities-law divide

Beyond oracles – a critical look at real-world blockchains

This thesis intends to provide answers to the following questions: 1) What is the oracle problem, and how do the limitations of oracles affect different real-world applications? 2) What are the characteristics of the portion of the literature that leaves the oracle problem unaddressed? 3) Who are the main contributors to solving the oracle problem, and which issues are they focusing on? 4) How can the oracle problem be overcome in real-world applications? The first chapter aims to answer the first question through a literature review of the most current papers published in the field, bringing clarity to the blockchain oracle problem by discussing its effects in some of the most promising real-world blockchain applications. Thus, the chapter investigates the sectors of Intellectual Property Rights (IPRs), healthcare, supply chains, academic records, resource management, and law. By comparing the different applications, the review reveals that heterogeneous issues arise depending on the sector. The analysis supports the view that the more trusted a system is, the less the oracle problem has an impact. The second chapter presents the results of a systematic review intended to highlight the state-of-the-art of real-world blockchain applications using the oracle problem as a lens of analysis. Academic papers proposing real-world blockchain applications were reviewed to see if the authors considered the oracle’s role in the applications and related issues. The results found that almost 90% of the inspected literature neglected the role of oracles, thereby proposing incomplete or irreproducible projects. Through a bibliometric analysis, the third chapter sheds light on the institutions and authors that are actively contributing to the literature on oracles and promoting progress and cooperation. The study shows that, although there is still a lack of collaboration worldwide, there are dedicated authors and institutions working toward a similar and beneficial cause. The results also make it clear that most areas of oracle research are poorly addressed, with some remaining untouched. The fourth and last chapter focuses on a case study of a dairy company operating in the northeast region of Italy. The company applied blockchain technology to support the traceability of their products worldwide, and the study investigated the benefits of their innovation from the point of view of sustainability. The study also considers the role of oracle management, as it is a critical aspect of a blockchain-based project. Thus, the relationship between the company, the blockchain oracle, and the supervising authority is discussed, offering insight into how sustainable innovations can positively impact supply chain management. This work as a whole aims to shed light on blockchain oracles as an academic area of research, explaining why the study of oracles should be considered the backbone of blockchain literature development

Decentralised Autonomous Organisations and the Corporate Form

It has been suggested that the development of decentralised autonomous organisations (DAOs) will lead to a paradigm shift in the way we perceive businesses. DAOs ostensibly eliminate agency costs due to the absence of a board of directors, automated governance mechanisms and transparency provided by the blockchain upon which the DAO is launched. This article undertakes a comparative analysis between DAOs and corporations and questions whether DAOs really do improve the corporate form. Using a corporate governance and legal realist lens, this article suggests that a number of the purported benefits of DAOs are overly simplified. Moreover, there are several practical and legal obstacles that technological advancements and improved engineering must overcome before DAOs become a viable, mainstream organisational structure. Balancing the inevitable improvement in technology against these significant obstacles, this article predicts an incremental integration of DAOs into society through a hybrid approach, involving interim legal solutions and varying degrees of automation and decentralisation

A Novel Optimization for GPU Mining Using Overclocking and Undervolting

Cryptography and associated technologies have existed for a long time. This field is advancing at a remarkable speed. Since the inception of its initial application, blockchain has come a long way. Bitcoin is a cryptocurrency based on blockchain, also known as distributed ledger technology (DLT). The most well-known cryptocurrency for everyday use is Bitcoin, which debuted in 2008. Its success ushered in a digital revolution, and it currently provides security, decentralization, and a reliable data transport and storage mechanism to various industries and companies. Governments and developing enterprises seeking a competitive edge have expressed interest in Bitcoin and other cryptocurrencies due to the rapid growth of this recent technology. For computer experts and individuals looking for a method to supplement their income, cryptocurrency mining has become a big source of anxiety. Mining is a way of resolving mathematical problems based on the processing capacity and speed of the computers employed to solve them in return for the digital currency incentives. Herein, we have illustrated benefits of utilizing GPUs (graphical processing units) for cryptocurrency mining and compare two methods, namely overclocking and undervolting, which are the superior techniques when it comes to GPU optimization. The techniques we have used in this paper will not only help the miners to gain profits while mining cryptocurrency but also solve a major flaw; in order to mitigate the energy and resources that are consumed by the mining hardware, we have designed the mining hardware to simultaneously run longer and consume much less electricity. We have also compared our techniques with other popular techniques that are already in existence with respect to GPU mining.publishedVersio

Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier

As universities recognize the inherent value in the data they collect and hold, they encounter unforeseen challenges in stewarding those data in ways that balance accountability, transparency, and protection of privacy, academic freedom, and intellectual property. Two parallel developments in academic data collection are converging: (1) open access requirements, whereby researchers must provide access to their data as a condition of obtaining grant funding or publishing results in journals; and (2) the vast accumulation of 'grey data' about individuals in their daily activities of research, teaching, learning, services, and administration. The boundaries between research and grey data are blurring, making it more difficult to assess the risks and responsibilities associated with any data collection. Many sets of data, both research and grey, fall outside privacy regulations such as HIPAA, FERPA, and PII. Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Commercial entities are besieging universities with requests for access to data or for partnerships to mine them. The privacy frontier facing research universities spans open access practices, uses and misuses of data, public records requests, cyber risk, and curating data for privacy protection. This paper explores the competing values inherent in data stewardship and makes recommendations for practice, drawing on the pioneering work of the University of California in privacy and information security, data governance, and cyber risk.Comment: Final published version, Sept 30, 201