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Work overload is an important and often singular objective for organizational interventions targeting nurse satisfaction and turnover in hospital settings around the world. The centerpiece of many such interventions involves the reassignment of nursing tasks to lesser licensed or unlicensed staff in order to provide immediate term relief to over extended professional nurses. These “Substitution Interventions” (SI) evolve from the diagnostic assumptions that “lightening the load” of professional nurses with more plentifully available “others” will provide, even in the absence of other changes, immediate relief to over-extended staff, reducing their growing sense of dissatisfaction and, thus, decreasing their desire or perceived need to look for another job. The purpose of this study is to critically examine the prevailing diagnostic assumptions that underlie “Substitution Interventions” (SI) and, propose and test in a sample of hospital care-givers (n=241) an alternative organization diagnostic model that may aid in understanding their propensity to fall short of management expectations.

This study aims to investigate workplace stress and its related patterns (sources, patient interactions, and coping strategies) among health care employees in the United Arab Emirates (UAE). Academic research in this area is limited, and the globalization of health care services requires an examination of areas that have the potential to affect employee performance - which ultimately impacts health care service and quality. Based on a sample of 175 employees from both public and private health care organizations, results indicate the primary source of workplace stress is role ambiguity, while the lowest cause of stress is patients. The primary coping strategy used by our sample participants is productiveness and activity. Our findings are useful to healthcare management in order to address employee stress-related concerns, and increase the quality of health care provided.

The central aim of this paper is to give an overview of theory and research on the crossover of (work‐related) wellbeing from employees to their partners at home. In addition, it seeks to discuss studies on the crossover of wellbeing from employees to their colleagues in the workplace. It aims to discuss possible moderators of the crossover effect and delineate a research agenda.

The paper takes the form of a literature review.

The review of the literature shows that strain may spillover from work to home, and consequently influence, the wellbeing of one's partner. Additionally, the paper discusses recent studies documenting that the enthusiasm for one's work may cross over to the partner as well. Furthermore, research has shown that employees influence one another in the workplace. Several conditions may facilitate such crossover, including the frequency of interactions, empathy, susceptibility to contagion, and similarity. The paper outlines a research agenda, and indicates what the gaps in the literature are.

The literature review reveals which advancements can be made in crossover theory. One way would be to further validate the spillover‐crossover model. This model postulates that job demands lead to work‐family conflict, which, in turn, leads to conflict with the partner (social undermining). Thus, job strain (or work engagement) first spills over from work to home, and then crosses over to the partner. This interaction sequence consequently influences the partner's wellbeing.

This public educational conference on our food and drug law has a particular significance. For in the first place it deals with the public law of greatest personal importance to our people ; and that is why it is truly called “ the people's law ” In the second place this law is inadequately known, mainly for three reasons. They are: (a) the general public ordinarily has no direct contact with this law; (b) its official reports do not reach that public, as a rule; and (c) other general publicity about it is insufficient. Furthermore, this conference has the additional value of recalling that our people now enjoy the highest food and drug standards of living ever reached anywhere. That situation has an essential relation to the national welfare ; and it was achieved by the great scientific, technological and economic progress of our food and drug industries. But the food and drug law has played an indispensable role in this achievement.

This paper provides a review of research on financial derivatives, with an emphasis on and comprehensive coverage of research published in 15 top accounting journals from 1996 to 2017. We begin with some brief institutional details about derivatives and then summarize studies explaining when and why firms use derivatives. We then discuss the evolution of the accounting rules related to derivatives (and associated disclosure requirements) and studies that examine changes in these requirements over the years. Next, we review the literature that examines the consequences of firms’ derivative use to various capital market participants (i.e., managers, analysts, investors, boards of directors, etc.), with an emphasis on the role that the accounting and disclosure rules play in such consequences. Finally, we discuss the importance of industry affiliation on firms’ derivative use and the role that industry affiliation plays in derivatives research. Overall, our review suggests that, perhaps due to their inherent complexity and data limitations, derivatives are relatively understudied in accounting, and we highlight several areas where future research is needed.

The purpose of this paper is to examine how pre-IPO cash flow and earnings volatility influence both post-IPO pricing and valuation. This paper provides an empirical extension of Pástor and Veronesi’s (2003, 2005) argument that uncertainty surrounding a private firm’s expected profitability can impact how the firm is valued in the IPO aftermarket.

This paper includes a sample of 695 IPOs between 1996 and 2011. Pre-IPO financial statement data are hand collected from the EDGAR database. Pre-IPO cash flow and earnings volatility is computed using the standard deviation of the firm’s three years of cash flows and earnings prior to the IPO. Tobin’s Q serves as a measure of post-IPO firm valuation. This paper includes two subsamples to account for the “hot” IPO market of the late 1990s.

Firms with higher pre-IPO cash flow volatility are associated with higher post-IPO aftermarket valuations. This result holds for both the “hot” IPO and the later sub-sample. Pre-IPO earnings volatility does not influence aftermarket valuations, suggesting that only the uncertainty surrounding cash flows serves as a salient measure to IPO investors. Finally, IPO underpricing is associated with pre-IPO cash flow volatility, suggesting another channel in which IPO pricing is influenced.

The hand collection for this paper is laborious and is limited to yearly cash flow and earnings numbers. The paper documents that quarterly and yearly cash flow and earnings volatility measures are highly correlated for the select stocks that allow for such testing. Further, a broader sample that accounts for more international IPO issues might corroborate the findings in this paper.

This study shows that investors both initially price and value IPO firms base on their pre-IPO cash flow volatility.

This is the first paper to examine the direct link between pre-IPO cash flow and earnings volatility on IPO aftermarket valuation and IPO pricing.

In this article some thoughts on the use of digitised artifacts for teaching visual analysis in Classical art are presented. In order to employ digital images as effective teaching tools it is important to be able to describe your expectations for the media in relation to the learners’ task; to consider how to use the type of presentation (e.g. still photographs or virtual reality) to best advantage; and to identify critical insights students may either obtain (or have diminished) as a result of the media presented to them.

WITH the passing of Easier the British librarian enters upon summer arrangements and a new financial year at the same time. There have been no severe complaints of undue financial “cutting” from public librarians; but there has been no very lusty jubilation caused by undue amplitude in appropriations. We may be grateful that in the general Stringency matters are not worse than they are. Our time will come. As for the summer work of libraries: of late there has been a tendency for the issues, during what are usually thought to be the slacker months, to approximate to those of winter time. This is not wholly, or even largely, due to the organization of holiday literature exhibitions and similar “added” activities, but it appears to be the result of increased reading habit. At the same time it must be remembered that last summer was not an out‐door one.

14. Peppermint extract is the flavouring extract prepared from oil of peppermint, or from peppermint, or both, and contains not less than 3 per cent. by volume by oil of peppermint.

This study aims to overcome the problem of traditional association rules relying almost entirely on expert experience to set relevant interest indexes in mining. Second, this project can effectively solve the problem of four types of rules being present in the database at the same time. The traditional association algorithm can only mine one or two types of rules and cannot fully explore the database knowledge in the decision-making process for library recommendation.

The authors proposed a Markov logic network method to reconstruct association rule-mining tasks for library recommendation and compared the method proposed in this paper to traditional Apriori, FP-Growth, Inverse, Sporadic and UserBasedCF algorithms on two history library data sets and the Chess and Accident data sets.

The method used in this project had two major advantages. First, the authors were able to mine four types of rules in an integrated manner without having to set interest measures. In addition, because it represents the relevance of mining in the network, decision-makers can use network visualization tools to fully understand the results of mining in library recommendation and data sets from other fields.

The time cost of the project is still high for large data sets. The authors will solve this problem by mapping books, items, or attributes to higher granularity to reduce the computational complexity in the future.

The authors believed that knowledge of complex real-world problems can be well captured from a network perspective. This study can help researchers to avoid setting interest metrics and to comprehensively extract frequent, rare, positive, and negative rules in an integrated manner.