This study examines the behavioral commitment ( intent to stay ) of a sample of blue-collar employees from a manufacturing firm in Australia. The purpose was to test an integrated causal model of behavioral commitment based on four general classes of variables: structural, pre-entry, environmental, and employee orientations. The LISREL results indicate that variables rank ordered in terms of importance for their total causal effects on the decision process of employees to stay or leave an organization is as follows:Since the late 1940s there have been a numerous turnover studies in Australia.Most, however, have inadequately examined multi-factor explanations, and have failed to consider turnover process complexities. The aim of this paper is to present a causal model which is capable of explaining and predicting turnover intentions. Furthermore, the paper aims to evaluate a range of possible intermediate steps in the decision process of employees to leave an organization, and to identify variables that predict an employee's behavioral commitment. The formulated causal model is evaluated using a sample of production and maintenance workers from a pulp and paper manufacturer situated in a southeastern industrial area of the state of Victoria in Australia.Variables included in the causal model were selected based on the following criteria: (1) empirical support in the literature; (2) theoretical relevance; and (3) relevance to the sample studied. Our analysis intends to provide an expanded model of behavioral commitment by the integration and synthesis of previous cross disciplinary research. More importantly, as current research tends to focus

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Peste des petits ruminants is responsible for an economically important plague of small ruminants that is endemic across much of the developing world. Here we describe the detection and characterisation of a PPR virus from a recent outbreak in Tamil Nadu, India. We demonstrate the isolation of PPR virus from rectal swab and highlight the potential spread of disease to in-contact animals through faecal materials and use of faecal material as non-invasive method of sampling for susceptible wild ruminants. Finally we have performed a comprehensive 'multi-gene' assessment of lineage IV isolates of PPRV utilising sequence data from our study and publically available partial N, partial F and partial H gene data. We describe the effects of grouping PPRV isolates utilising different gene loci and conclude that the variable part of N gene at C terminus gives the best phylogenetic assessment of PPRV isolates with isolates generally clustering according to geographical isolation. This assessment highlights the importance of careful gene targeting with RT-PCR to enable thorough phylogenetic analysis.

Five hundred sixty-nine Salmonella were isolated out of 4745 samples from poultry products, poultry, and poultry environment in 1999 and 2000 from the Pacific northwest. These Salmonella were identified to their exact source, and some were serogrouped, serotyped, phage typed, and tested for antibiotic sensitivity. Food product samples tested included rinse water of spent hens and broilers and chicken ground meat. Poultry environment samples were hatchery fluff from the hatcheries where eggs of grandparent broiler breeders or parent broiler breeder eggs were hatched and drag swabs from poultry houses. Diagnostic samples were of liver or yolk sac contents collected at necropsy from the young chicks received in the laboratory. Of these samples tested, 569 were Salmonella positive (11.99%). Ninety-two Salmonella were serogrouped with polyvalent somatic antisera A-I and the polymerase chain reaction. Somatic serogroups B and C comprised 95.25% of all the Salmonella. Out of a total of 569 positive samples, 97 isolates of Salmonella were serotyped. A total of 16 serotypes and an unnamed Salmonella belonging to serogroup C1 were identified. The Salmonella serotypes were heidelberg (25.77%); kentucky (21.64%); montevideo (11.34%); hadar and enteritidis (5.15% each); infantis, typhimurium, ohio, and thompson (4.12% each); mbandaka and cerro (3.09% each); senftenberg (2.06%); berta, istanbul, indiana, and saintpaul (1.03% each); and an unnamed monomorphic Salmonella (2.06%). Ninety-two Salmonella were tested for drug sensitivity with nine different antimicrobials. All of the 92 Salmonella were resistant to erythromycin, lincomycin, and penicillin except one sample (S. berta), which was moderately sensitive to penicillin. All of the tested Salmonella were susceptible to sarafloxacin and ceftiofur. The percentages of Salmonella susceptible to sulfamethoxazole-trimethoprim, gentamicin, triple sulfa, and tetracycline were 97.83%, 92.39%, 86.96%, and 82.61%, respectively.