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The study intends to shed lights on whether the risk factors disclosed in the initial public offering (IPO) prospectus in Malaysia are able to reflect the actual risks of stocks once they are traded on the exchange. In other words, the purpose of this paper is to explore whether prospective investors will be able to benefit, in terms of the more accurate risk information, from the risk disclosures in the IPO-prospectus.

Using data obtained from 118 IPO prospectuses of Malaysian companies that issued shares on Bursa Malaysia in the period from 2009 to 2016, the authors investigated whether the “risk factor” section in the IPO prospectuses provides sufficient risk-relevant information to investors. To determine whether companies disclose risk-relevant information, a detailed content analysis of the risk sections was carried out to obtain an aggregate measure of risk disclosure.

The findings revealed that the aggregate measures of risk extracted from these texts did not successfully predict the following outcomes: the volatility of companies’ future stock prices, the sensitivity of future stock prices to market-wide fluctuations and the severe declines in future stock prices.

As indicated by the findings, the authors, therefore, deduce that the IPO prospectuses of Malaysian companies do not provide sufficient risk-relevant information in the risk factor section. The findings imply that overall the management of Malaysian companies would neither be able nor willing to disclose the right and relevant information to the public via IPO prospectus.

Many corporate risk disclosure studies focus primarily on the disclosures of annual reports of companies. The study intends to fill the gap by focusing on the risk disclosure in the IPO-prospectus. Risk disclosures in IPO-prospectus are farmore extensive than annual reports and, therefore, provide a richness of information that will not be available in the annual reports.

The scalability of similarity joins is threatened by the unexpected data characteristic of data skewness. This is a pervasive problem in scientific data. Due to skewness, the uneven distribution of attributes occurs, and it can cause a severe load imbalance problem. When database join operations are applied to these datasets, skewness occurs exponentially. All the algorithms developed to date for the implementation of database joins are highly skew sensitive. This paper presents a new approach for handling data-skewness in a character- based string similarity join using the MapReduce framework. In the literature, no such work exists to handle data skewness in character-based string similarity join, although work for set based string similarity joins exists. Proposed work has been divided into three stages, and every stage is further divided into mapper and reducer phases, which are dedicated to a specific task. The first stage is dedicated to finding the length of strings from a dataset. For valid candidate pair generation, MR-Pass Join framework has been suggested in the second stage. MRFA concepts are incorporated for string similarity join, which is named as “MRFA-SSJ” (MapReduce Frequency Adaptive – String Similarity Join) in the third stage which is further divided into four MapReduce phases. Hence, MRFA-SSJ has been proposed to handle skewness in the string similarity join. The experiments have been implemented on three different datasets namely: DBLP, Query log and a real dataset of IP addresses & Cookies by deploying Hadoop framework. The proposed algorithm has been compared with three known algorithms and it has been noticed that all these algorithms fail when data is highly skewed, whereas our proposed method handles highly skewed data without any problem. A set-up of the 15-node cluster has been used in this experiment, and we are following the Zipf distribution law for the analysis of skewness factor. Also, a comparison among existing and proposed techniques has been shown. Existing techniques survived till Zipf factor 0.5 whereas the proposed algorithm survives up to Zipf factor 1. Hence the proposed algorithm is skew insensitive and ensures scalability with a reasonable query processing time for string similarity database join. It also ensures the even distribution of attributes.

Purpose: In this chapter, I explore how American Sign Language/English interpreters came to enact an ally role with members of the American deaf community during the 1988 Deaf President Now (DPN) protest. The DPN protest, led by students at Gallaudet University in Washington, DC, was a historic moment in the deaf community's struggle for civil rights (Christiansen & Barnartt, 1995). During the events that unfolded over the week-long rebellion, students engaged in a variety of claims-making activities (Lindekilde, 2013), such as participating in media interviews and organizing rallies. To share their message with the world, the deaf protesters developed alliances with American Sign Language/English interpreters, who mediated a wide variety of protest-related activities.

Method: The data I analyze in this chapter come from (1) archival review and (2) semistructured interviews I conducted with DPN stakeholders, including interpreters and protesters.

Findings: Through these data, I explore how the protesters and interpreters came to develop shared understandings and expectations of allyship, including the roles that interpreters enacted in the protest.

Implication/Value: I frame this discussion within the context of a variety of metaphors that have been used to describe the role of signed language interpreters (Roy, 1993, 2002) and the concept of role-space (Llewellyn-Jones & Lee, 2014) to demonstrate the process of interpreters becoming allies in contentious political settings.

To understand how people using community public mental health services conceptualize community and their place within it within the post-deinstitutionalization era.

Two hundred ninety-four service users completed structured interviews in two urban, outpatient, public, and community mental health facilities in the Northeast. Quantitative and qualitative responses to the MacArthur Scale of Subjective Social Status, Community Ladder version, were analyzed to understand perspectives on community.

Mean subjective community status ladder score among participants was five (SD = 2.56). Participants identified four broad categories of definitions of community: geographic community; community related to social definitions; contributing to society; and mental health service-user communities. Explanations for the location of their placement on the ladder (subjective community status) include comparisons to self and others, contributions to community, and social relationships. There was also a set of explanations that spoke to the intersection of multiple marginalizations and structural constraints. Finally, we explore relationships among understandings of community and perceptions of place within community.

Community integration is a critical concept for community public mental health services, but little research has explored how mental health service users conceptualize their communities and their roles within them. Understandings of community are crucial to appropriately support peoples’ needs within their communities. Furthermore, participants identify mechanisms that facilitate their personal community standing, and these are areas for potential intervention.

The purpose of the study is to examine whether analyst coverage responds to changes in investor information demand for a firm and to test whether certain investor or firm characteristics moderate this association.

The authors model analyst activeness (AA) as a function of institutional investors' information demand, proxied by news readership on Bloomberg terminals and retail investors' information demand, proxied by the Google Search Volume Index (GSVI). Additionally, the authors take several steps to mitigate concerns about reverse causality that may confound the findings.

Results suggest that analysts respond to information demand shocks, but partially revert their coverage after the demand shock subsides. Furthermore, the results suggest that analysts cater their coverage more towards institutional investors than to retail investors. Evidence also suggests that analysts are more responsive to investors interested in firms with tech stock characteristics. Finally, the authors find evidence that specialist analysts respond more to institutional investors while generalist analysts respond more to retail investors.

The authors are the first to empirically examine the extent to which analysts cater to investor information demand. This is a vital topic to study because analysts are one of the primary sources of information for market participants. Understanding an analyst's motivation for providing information will help to facilitate market efficiency.

The concept of corporate social responsibility of the enterprise covers a vast territory! This paper proposes to limit the analysis and evaluation of this concept to three distinct aspects. The first will treat the comparatively new and evolving common law implied term in corporated into the contract of employment relating to the enterprise’s social responsibility of respect towards the employee. The second will analyse an other generically linked recent common law development in the field of the enterprise’s social responsibility of respect towards the employee, namely the implied over‐riding term. Thirdly, the novel and developing wider concept of corporate social responsibility will be addressed and assessed. Some concluding thoughts will follow.

Climate change adaptation strategies are critical for long-term road infrastructure development (RID) because it is expected to put more land and transportation infrastructure at risk from stronger winds, more intense storms, and rising sea levels. Deformation and subsidence could occur if concrete pavements crumbled and asphalt roads softened due to higher temperatures, and changes in the frequency and intensity of precipitation could have far-reaching consequences for the smooth operation of transportation networks. The developed world is primarily responsible for the carbon emissions that contribute to global warming, while less developed countries are insignificant. The African Union sees climate change as a major threat to the continent’s economic development and is working with member states and key organizations to address it. It is critical for developing countries to establish frameworks for detecting climate change risks, developing adaptation strategies, and implementing plans. The sustainable development plan (SRIP) is critical for protecting transportation networks from the effects of climate change. Sustainable development principles are critical for clarifying the proposed project’s relationships with the local and larger society, economy, ecosystems, and various institutions. The ability of a system or structure to recover from disruption while continuing to function and adapt to new circumstances is referred to as resilient infrastructure. Low-carbon infrastructure coexists with resilient infrastructure, and the pursuit of resilient infrastructure necessitates a reduction in the likelihood of failure, a lessening of the negative consequences when failures do occur, and a reduction in the time required to recover due to an increase in the facilities’ capacity to endure, adapt, and change. As part of the implementation process, RID experts must consider how climate change will impact transportation infrastructure. Risk assessment is a systematic method of looking for things that could go wrong, determining how bad they could be, and determining how likely they are to happen. Adaptable designs must include multiple measures to prevent system breakdowns. Climate change’s effects on road infrastructure, as well as rising sea levels, continue to jeopardize low-lying transportation infrastructure. Implementing SRIP necessitates the development of a climate change response mechanism.

Deals with the flow reversal in a buoyancy‐opposed rotating duct that causes heat transfer deterioration. An active technique of trailing‐wall transpiration is adopted to check whether it can avoid the flow separation and subsequently improves the heat transfer deterioration. Finite‐difference method is employed to solve the three‐dimensional Navier‐Stokes equations and the energy equation. Periodic conditions are used between the entrance and exit of a typical two‐pass duct for the closure of the elliptic problem. The predicted results reveal that fluid withdrawal through the trailing wall can avoid the flow separation from the leading wall of the radial‐outward duct (ROD) and thus eliminate local hot spots. In addition, the trailing‐wall suction not only increases the peripherally averaged heat transfer but also reduces the friction loss in the ROD. In the radial‐inward duct (RID), both the peripherally averaged heat transfer and peripherally averaged friction factor are augmented by trailing‐wall injection and are degraded by the trailing‐wall suction.

Man has been seeking an ideal existence for a very long time. In this existence, justice, love, and peace are no longer words, but actual experiences. How ever, with the American preemptive invasion and occupation of Afghanistan and Iraq and the subsequent prisoner abuse, such an existence seems to be farther and farther away from reality. The purpose of this work is to stop this dangerous trend by promoting justice, love, and peace through a change of the paradigm that is inconsistent with justice, love, and peace. The strong paradigm that created the strong nation like the U.S. and the strong man like George W. Bush have been the culprit, rather than the contributor, of the above three universal ideals. Thus, rather than justice, love, and peace, the strong paradigm resulted in in justice, hatred, and violence. In order to remove these three and related evils, what the world needs in the beginning of the third millenium is the weak paradigm. Through the acceptance of the latter paradigm, the golden mean or middle paradigm can be formulated, which is a synergy of the weak and the strong paradigm. In order to understand properly the meaning of these paradigms, however, some digression appears necessary.

A large body of literature focuses on ways that learning experiences in colleges of education can combat racist stereotypes while promoting cultural competence. However, because limited research investigates how student research projects (e.g., master's theses and doctoral dissertations) can accomplish these same purposes, additional studies are needed. For this reason, the current exploratory mixed methods study addressed the following research question: “How does the racial identity development of doctoral students from colleges of education align with their experiences of conducting dissertation studies focusing on racial and/or ethnic dynamics in schools, universities, or human service agencies?” The research team used well-established scales to measure the racial identity development of Black and White participants. The team also conducted a series of three interviews with each participant to learn about how racial identity statuses contributed to and responded to the experience of conducting dissertation research with a focus on racial and/or ethnic dynamics. Analysis of interview data pointed to the salience of “advocacy” in the experiences of participants. Advocacy connected to doctoral research by affording opportunities for personal advancement and by affording opportunities to promote social change. Further interpretation revealed differences in the importance of the two types of advocacy for White and Black participants, especially in consideration of their racial identity statuses. Despite such nuances, the experience of conducting dissertation research reinforced all participants’ previous commitments to social justice and advocacy, but it did not help them develop more wide-ranging and systematic strategies for working as advocates of social justice.