Neighbor-Balanced Bipartite Block Designs

This article deals with the neighbor-balanced block design setting when there are two disjoint sets of treatments, one set consisting of test treatments and the other of control treatments. The interest here is to estimate the contrasts pertaining to test treatments vs. control treatments (with respect to direct and neighbors) with as high precision as possible. Some series of neighbor-balanced block designs for comparing a set of test treatments to a set of control treatments have been developed. The designs obtained are totally balanced in the sense that all the contrasts among test treatments for direct and neighbor effects are estimated with same variance and all the contrasts pertaining to test vs. control for direct and neighbor effects are estimated with the same variance.     

Simultaneous one-sided tolerance intervals for sets of contrasts from normal populations

This paper considers the problem of constructing simultaneous prediction and tolerance intervals for sets of contrasts of normal variables in situations where simultaneous intervals are available. Tables are given with critical values used in simultaneous tolerance bounds for two classes of contrasts: pairwise many-one and profile type.     

How top management team behavioral integration and behavioral complexity enable organizational ambidexterity: The moderating role of contextual ambidexterity

Little is known about how top management teams (TMTs) make balanced strategic decisions (exploration and exploitation) and spearhead organizational ambidexterity. To address the theoretical call to explore how TMTs can help create ambidexterity, we propose a theoretical model where TMT behavioral integration cultivates behavioral complexity in a TMT that can build organizational ambidexterity. Further, we argue that the relationship between TMT behavioral complexity and organizational ambidexterity is moderated by contextual ambidexterity. Drawing on research in the areas of leadership, TMT, organizational context and ambidexterity, we explore implications for future research.     

Social Support: An Important Factor for Treatment Adherence and Health-related Quality of Life of Patients with End-stage Renal Disease

ABSTRACT

End-stage Renal Disease (ESRD) or chronic kidney disease constitutes a serious public health problem in the United States. The purpose of this study is to examine the causal relationship of perceived social support with treatment adherence and health-related quality of life (HRQOL) of ESRD patients. The study utilized a non-experimental research design and Structural Equation Modeling (SEM) to analyze the data collected from a sample of 413 ESRD patients. The findings of the study supported a statistically significant relationship between perceived social support and HRQOL as well as between perceived social support and treatment adherence. Formulating appropriately targeted interventions to improve social support may help in enhancing the HRQOL and treatment adherence, where both those factors were empirically supported to be related to mortality and hospitalizations in ESRD patients. This study helps to enhance the body of knowledge relating to HRQOL of ESRD patients, and provided foundation for interventions in improving treatment adherence and the HRQOL. Future research may focus on the complexities associated with the HRQOL and treatment adherence in ESRD patients, with emphasis on demographic characteristics and its relationship with social support.     

Chemical Spill Exposure Assessment

POSSM, the PCB On-Site Spill Model, is a contaminant transport model developed to predict environmental concentrations associated with a chemical spill. The model predicts daily changes in chemical concentrations on a spill site (e.g., in soil and on vegetation) and losses of chemical due to volatilization, surface runoff/soil erosion, and leaching to groundwater. Spill areas consisting of soil/vegetation and/or an impervious surface (e.g., asphalt and concrete) can be analyzed, as can different spill cleanup practices. POSSM is used to analyze exposure levels associated with a hypothetical capacitor spill. While the model was developed for PCB spills, it is generally applicable to a number of organic compounds.     

Voting power: an information theory approach

In recent years, there has been increasing awareness of the importance of formal measures of voting power and of the relevance of such measures to real life political issues. Nevertheless, existing measures have been criticized, especially because of their dependence on the unrealistic assumption that different coalitions have equal probabilities. In this paper we show that the classical problem of measuring voting power can be naturally embedded in information theory. This perspective on voting power allows us to extend measures of voting power to cases in which there are dependencies among voters. In doing so, we distinguish between two different notions of a given voter’s power—‘control’ and ‘informativeness’—corresponding, respectively, to the average uncertainty regarding the outcome of a vote that remains when all others have voted and the average uncertainty that is eliminated when only the given voter has voted. This distinction settles a number of well-known paradoxes and enables the study of voting power on the basis of actual political behavior at all levels.