Using the Internet for Organizational Research: A Study of Cynicism in the Workplace

The Internet can be a valuable data collection tool for organizational psychology researchers. It can be less expensive than traditional paper-and-pencil survey methods, and the potential pool of participants is much larger. In addition, it can be used in situations where traditional data collection methods are not feasible, such as research involving sensitive issues such as negative employee attitudes or deviant behaviors at work. In this study, we examined the organizational attitudes of employees from various companies using (a) a snowball sample, who completed a traditional paper and pencil survey (n = 135), and (b) a sample recruited over the Internet, who completed an on-line survey (n = 220). Participants in both the non- Internet and the Internet group were asked to describe a negative incident involving their company, and answer a number of questions regarding how they felt about their company and how they behaved toward their company following the negative event. They also completed measures of organizational cynicism and job satisfaction. The two groups were compared on demographic characteristics and on their attitudes toward their organization. There were very few demographic differences between the two groups. The Internet group tended to be more cynical and to judge their organization more harshly than the non-Internet group; however, the response patterns of both groups were similar. These results suggest that, when used with caution, the Internet can be a viable method of conducting organizational research

Safety of improved Milbond-TX mycotoxin binder when fed to broiler breeders above recommended levels

An increasing concern in poultry nutrition is the effects of mycotoxins in contaminated grain. Several new products have come onto the market that chemically bind these toxins preventing mycotoxicosis. However, many of these products have not been tested for safety if accidently overfed to broiler breeders. In order to simulate a feed mixing error at a feed mill, Improved Milbond-TX® was overfed to broiler breeders to see if this would cause any negative effects on bird performance. A typical corn-soybean based diet supplemented with Milbond-TX mycotoxin binder at three different levels of inclusion (0%, 0.5%, and 1%) was fed to 300 broiler breeder hens. Data were collected on egg production, egg weights, hatchability, fertility, and chick weights from 24 to 35 weeks of age. Eggs per hen housed were not significantly different between the three treatments. The differences in egg weights, hatchability, fertility, and chick weights were also insignificant among the three treatments. We were able to conclude that overfeeding Improved Milbond-TX had no negative effect on bird performance and is safe to feed at a level of up to 1%

Making Claims for Migrant Workers: Human Rights and Citizenship

Migrant workers claims for greater protection in a globalized world are typically expressed either in the idiom of international human rights or citizenship. Instead of contrasting these two normative frames, the paper explores the extent to which human rights and citizenship discourses intersect when it comes to claims by migrant workers. An analysis of the international human and labour rights instruments that are specifically designed for migrant workers reveals how neither discourse questions the assumption of territorial state sovereignty. Drawing upon sociological and political approaches to human rights claims, I evaluate the Arendtian-inspired critique of international human rights, which is that they ignore the very basis ‘right to have rights’. In doing so, I discuss the different dimensions of citizenship and conclude that international rights can be used by migrant workers to assert right claims that reinforce a conception of citizenship that, although different from national citizenship, has the potential to address their distinctive social location

Evaluation of phonocardiographic data of astronauts during orbital flights

Simultaneous electrocardiographic and phonocardiographic data obtained from Gemini flight

Substance Use and Depression Symptomatology: Measurement Invariance of the Beck Depression Inventory (BDI-II) among Non-Users and Frequent-Users of Alcohol, Nicotine and Cannabis

Depression is a highly heterogeneous condition, and identifying how symptoms present in various groups may greatly increase our understanding of its etiology. Importantly, Major Depressive Disorder is strongly linked with Substance Use Disorders, which may ameliorate or exacerbate specific depression symptoms. It is therefore quite plausible that depression may present with different symptom profiles depending on an individual’s substance use status. Given these observations, it is important to examine the underlying construct of depression in groups of substance users compared to non-users. In this study we use a non-clinical sample to examine the measurement structure of the Beck Depression Inventory (BDI-II) in non-users and frequent-users of various substances. Specifically, measurement invariance was examined across those who do vs. do not use alcohol, nicotine, and cannabis. Results indicate strict factorial invariance across non-users and frequent-users of alcohol and cannabis, and metric invariance across non-users and frequent-users of nicotine. This implies that the factor structure of the BDI-II is similar across all substance use groups

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures

Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, co-placement and scheduling of data with compute resources, and storing and transferring large volumes of data. We analyze the ecosystems of the two prominent paradigms for data-intensive applications, hereafter referred to as the high-performance computing and the Apache-Hadoop paradigm. We propose a basis, common terminology and functional factors upon which to analyze the two approaches of both paradigms. We discuss the concept of "Big Data Ogres" and their facets as means of understanding and characterizing the most common application workloads found across the two paradigms. We then discuss the salient features of the two paradigms, and compare and contrast the two approaches. Specifically, we examine common implementation/approaches of these paradigms, shed light upon the reasons for their current "architecture" and discuss some typical workloads that utilize them. In spite of the significant software distinctions, we believe there is architectural similarity. We discuss the potential integration of different implementations, across the different levels and components. Our comparison progresses from a fully qualitative examination of the two paradigms, to a semi-quantitative methodology. We use a simple and broadly used Ogre (K-means clustering), characterize its performance on a range of representative platforms, covering several implementations from both paradigms. Our experiments provide an insight into the relative strengths of the two paradigms. We propose that the set of Ogres will serve as a benchmark to evaluate the two paradigms along different dimensions.Comment: 8 pages, 2 figure

To the Editor:

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98180/1/j.1547-5069.1992.tb00704.x.pd

Judy C. Franz to Mr. Meredith (1 October 1962)

https://egrove.olemiss.edu/mercorr_pro/1316/thumbnail.jp