University of Nebraska Omaha

About: University of Nebraska Omaha is a education organization based out in Omaha, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4526 authors who have published 8905 publications receiving 213914 citations. The organization is also known as: UNO & University of Omaha.

Exploring the Role of Social Networks in Affective Organizational Commitment: Network Centrality, Strength of Ties, and Structural Holes

Abstract: While studies in public management have identified personal attributes, job characteristics, and organizational rewards as key factors that influence affective organizational commitment, limited attention has been paid to the influence of social networks on affective commitment. Given that organizational attitudes and behaviors are often socially constructed, this paper argues that employees’ affective commitment is influenced by their social networks in an organization. What are the social network configurations that lead to affective organizational commitment? This study attempts to answer this question by focusing on nonlinear relationships between several network dimensions (i.e., network centrality, tie strength, and structural holes) and affective commitment. These relationships are empirically tested by using both social network data and employee survey data collected from two local governments in South Korea. Results of the study show that employees’ network centrality has an inverted U-shaped relationship with affective commitment and structural holes have a U-shaped association with affective commitment, controlling for certain organizational rewards and individual attributes. However, the relationship between a tie strength and affective commitment is not statistically significant. The practical and theoretical implications of the study findings are discussed.

Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development

Abstract: It is well known that data mining has been implemented by statistical regressions, induction decision tree, neural networks, rough set, fuzzy set and etc. This paper promotes a multiple criteria linear programming (MCLP) approach to data mining based on linear discriminant analysis. This paper first describes the fundamental connections between MCLP and data mining, including several general models of MCLP approaches. Given the general models, it focuses on a designing architecture of MCLP-data mining algorithms in terms of a process of real-life business intelligence. This architecture consists of finding MCLP solutions, preparing mining scores, and interpreting the knowledge patterns. Secondly, this paper elaborates the software development of the MCLP-data mining algorithms. Based on a pseudo coding, two versions of software (SAS- and Linux-platform) will be discussed. Finally, the software performance analysis over business and experimental databases is reported to show its mining and prediction power. As a part of the performance analysis, a series of data testing comparisons between the MCLP and induction decision tree approaches are demonstrated. These findings suggest that the MCLP-data mining techniques have a great potential in discovering knowledge patterns from a large-scale real-life database or data warehouse.

Mapping of an autosomal dominant gene for Dupuytren's contracture to chromosome 16q in a Swedish family.

Abstract: Mapping of an autosomal dominant gene for Dupuytren's contracture to chromosome 16q in a Swedish family.Dupuytren's contracture (DC) (OMIM 126900) is the most common connective tissue disease of mankind and has both heritable and sporadic forms. The inherited form is most frequently observed among the xanthochroi peoples of Northern Europe where its most common manifestations are thickening of the palmar fascia and contracture of the fingers. We ascertained a five-generation Swedish family in which DC is inherited in an autosomal dominant manner with high, but incomplete, penetrance by the end of the fifth decade. Blood was collected from all affected and informative unaffected family members for the performance of a genome-wide scan at a resolution of approximately 8 cM for all autosomes. Linkage was established to a single 6 cM region between markers D16S419 and D16S3032 on chromosome 16. A maximal two-point logarithm of odds (LOD) score of 3.18 was achieved at microsatellite marker D16S415 with four other markers in the region producing LODs of >1.5.