University of Alabama

About: University of Alabama is a education organization based out in Tuscaloosa, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27323 authors who have published 48609 publications receiving 1565337 citations. The organization is also known as: Alabama & Bama.

Generalizability of an Organizational Commitment Model

Abstract: A multivariate predictive model of organizational commitment explained a highly significant proportion of the variation in commitment within a combined heterogeneous sample. Subsequent analyses of ...

Examining the Antecedents and Consequences of Corporate Reputation: A Customer Perspective

Abstract: This paper extends previous work to examine the antecedents and customer-related consequences of corporate reputation for one important stakeholder group, customers, and within a special service sector where product and corporate associations are synonymous. We begin by linking the concept of corporate reputation to related concepts. Then, using structural equation modelling on customer survey data (n=511), we examine the impact of customer satisfaction and trust on corporate reputation, as well as how corporate reputation affects customer loyalty and word of mouth behaviour. The management implications of these results are discussed.

Leaf litter decomposition and microbial activity in nutrient‐enriched and unaltered reaches of a headwater stream

Abstract: SUMMARY 1. Decomposition of red maple (Acer rubrum) and rhododendron (Rhododendron maximum) leaves and activity of associated microorganisms were compared in two reaches of a headwater stream in Coweeta Hydrologic Laboratory, NC, U.S.A. The downstream reach was enriched with ammonium, nitrate, and phosphate whereas the upstream reach was not altered. 2. Decomposition rate, microbial respiration, fungal and bacterial biomass, and the sporulation rate of aquatic hyphomycetes associated with decomposing leaf material were significantly higher for both leaf types in the nutrient-enriched reach. Species richness and community structure of aquatic hyphomycetes also exhibited considerable changes with an increase in the number of fungal codominants in the nutrient-enriched reach. 3. Fungal biomass was one to two orders of magnitude greater than bacterial biomass in both reaches. Changes in microbial respiration rate corresponded to those in fungal biomass and sporulation, suggesting a primary role of fungi in leaf decomposition. 4. Nutrient enrichment increased microbial activity, the proportion of leaf carbon channelled through the microbial compartment and the decomposition rate of leaf litter.

Boosted decision trees as an alternative to artificial neural networks for particle identification

Abstract: The efficacy of particle identification is compared using artificial neutral networks and boosted decision trees. The comparison is performed in the context of the MiniBooNE, an experiment at Fermilab searching for neutrino oscillations. Based on studies of Monte Carlo samples of simulated data, particle identification with boosting algorithms has better performance than that with artificial neural networks for the MiniBooNE experiment. Although the tests in this paper were for one experiment, it is expected that boosting algorithms will find wide application in physics.