2,716 research outputs found

    Nonlinear model identification by analysis of feedback-stimulated bifurcation

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    Local topological equivalence between two rival models breaks down when one of the models is at a state of bifurcation. Creation of bifurcation conditions by feedback consequently may be a useful and sensitive approach for model identification

    Marek\u27s Disease - Leukosis

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    During the past few years there have been many significant new findings concerning the avian leukosis complex. Until recently these diseases were termed visceral leukosis, neural leukosis, or avian lymphomatosis. Recent research work in England and this country has clarified the cause of these diseases and they can be divided into two distinct diseases. These two diseases now known as Marek\u27s disease and lymphoid leukosis, are caused by two different viruses. Today, the tumors and associated conditions caused by these diseases are the major disease problems of broiler and laying flocks. The loss in the United States from death and condemnation at the processing plant, is estimated to be in excess of 200 million dollars annually

    Fostering Emotional and Social Intelligence in Organizations

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    This paper integrates diverse research to provide a theoretical model of the process whereby emotional and social intelligence (ESI) is fostered in organizations. The purpose of this paper is to provide: (1) an overview of the theory of ESI, including the historical contributions and current conceptualizations; (2) the impact of ESI on performance, including the research evidence and examples of organizations using ESI; (3) developing ESI competencies and a model for desirable, sustainable change; and (4) a call to action for education and management, including guidelines for fostering ESI in organizations. Unlike general intelligence or personality, the key assumption and rationale for the current paper is that ESI can be developed. Increasing ESI competences through the learning process can guide program design, implementation, and measurement for scholars and practitioners. Research has demonstrated that ESI competencies may be developed through a process of desirable, sustainable change called Intentional Change Theory (ICT)

    Fostering Emotional and Social Intelligence in Organizations

    Get PDF
    This paper integrates diverse research to provide a theoretical model of the process whereby emotional and social intelligence (ESI) is fostered in organizations. The purpose of this paper is to provide: (1) an overview of the theory of ESI, including the historical contributions and current conceptualizations; (2) the impact of ESI on performance, including the research evidence and examples of organizations using ESI; (3) developing ESI competencies and a model for desirable, sustainable change; and (4) a call to action for education and management, including guidelines for fostering ESI in organizations. Unlike general intelligence or personality, the key assumption and rationale for the current paper is that ESI can be developed. Increasing ESI competences through the learning process can guide program design, implementation, and measurement for scholars and practitioners. Research has demonstrated that ESI competencies may be developed through a process of desirable, sustainable change called Intentional Change Theory (ICT)

    Using preliminary data and prospective power analyses for mid-stream revision of projected group and subgroup sizes in pragmatic patient-centered outcomes research

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    Pragmatic clinical trials are commonly used in patient-centered outcomes research to assess heterogeneity of treatment effects. Patient-Centered Outcomes Research Institute (PCORI) methodology standards for assessing heterogeneity of treatment effects are extremely rigorous, but their implementation in real-world settings can be difficult. Predicting recruitment effectiveness and subgroup characteristics is often challenging and may require mid-stream revision of projected group and subgroup sizes. Yet, little real-world data are available to demonstrate methodologically valid approaches to address situations where such revisions are necessary. These data were used for mid-stream revision of group and subgroup sizes in the Management of Diabetes in Everyday Life (MODEL) clinical trial. The planned number of randomized participants retained over the one-year study period was reduced from 800 to 581 due to recruitment difficulties among potential participants residing in rural areas. Prospective power analyses are based on the revised target of 581 participants retained and the proportions of 167 participants with various key baseline characteristics, who had been randomized in MODEL by January 2018, as reported to the Patient Center Outcomes Research Institute (PCORI) and the MODEL Data Safety and Monitoring Committee. Power calculations are based on two-sided t-tests with type-I error rates of 0.05 and the assumption that effect sizes will range from small (standardized difference = 0.36) to medium (= 0.50). The primary outcome variables are how many days in the previous week participants 1) ate healthy meals, 2) participated in at least 30 minutes of physical activity, and 3) took medications as prescribed. The POWER procedure of SAS 9.4 was used for all analyses. These data, along with the approach, can assist statisticians as they plan future pragmatic clinical trials evaluating heterogeneity of treatment effects. These data can help inform investigators, conducting patient-centered outcomes research, as they define subgroups for either confirmatory analyses for testing heterogeneity of treatment effects or for exploratory analyses where estimation of confidence bounds may be useful for generating future hypotheses. (This work was supported through a Patient-Centered Outcomes Research Institute (PCORI) Project Program Award (SC15-1503-28336), www.ClinicalTrials.gov and Identifier: NCT02957513 [1].
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