1000 resultados para Bacterial retention


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This paper reports on early findings from a pilot study into student retention beyond Year 10. Located in rural, regional and disadvantaged communities in Tasmania, the research has implications at State, national and international levels. It is being funded by a nationally competitive Australian Research Council Linkage grant and the Tasmanian Department of Education across three years. The paper begins by providing a conceptual overview of the research, including the background to the study, and then reports on trends that have emerged during the initial phase of data collection. Preliminary findings resulting from pilot data analysis of responses to questionnaires by students in Years 5 and 9/10 are discussed. The paper concludes with a discussion about what these early findings suggest in regard to factors impacting on student retention.

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In recent years, society has been increasingly concerned with bacteria that are no longer susceptible to commercial antibiotics. Faced with a lack of tools, medical practitioners today are forced to prescribe medicines that, although effective, cause as much harm to the patient as the principal infection. The purpose of this research project is to develop novel antibacterials that remain potent against bacterial infections without being toxic to the patient.

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It is now widely accepted that firms should direct more effort into retaining existing customers than to attracting new ones. To achieve this, customers likely to defect need to be identified so that they can be approached with tailored incentives or other bespoke retention offers. Such strategies call for predictive models capable of identifying customers with higher probabilities of defecting in the relatively near future. A review of the extant literature on customer churn models reveals that although several predictive models have been developed to model churn in B2C contexts, the B2B context in general, and non-contractual settings in particular, have received less attention in this regard. Therefore, to address these gaps, this study proposes a data-mining approach to model non-contractual customer churn in B2B contexts. Several modeling techniques are compared in terms of their ability to predict true churners. The best performing data-mining technique (boosting) is then applied to develop a profit maximizing retention campaign. Results confirm that the model driven approach to churn prediction and developing retention strategies outperforms commonly used managerial heuristics. © 2014 Elsevier Inc.

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Design Therefore, the aim of this study was to explore the relationship between post-partum psychological distress and PWR at 9 months, after controlling for maternal weight factors, sleep quality, sociocontextual influences, and maternal behaviours. Method Pregnant women (N = 126) completed a series of questionnaires at multiple time points from early pregnancy until 9 months post-partum.

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Cross-linked poly(ethylene glycol) diacrylate (PEGDA) hydrogels with uniformly controlled nanoporous structures templated from hexagonal lyotropic liquid crystals (LLC) represent separation membrane materials with potentially high permeability and selectivity due to their high pore density and narrow pore size distribution. However, retaining LLC templated nanostructures is a challenge as the polymer gels are not strong enough to sustain the surface tension during the drying process. In the current study, cross-linked PEGDA gels were reinforced with a silica network synthesized via an in situ sol-gel method, which assists in the retention of the hexagonal LLC structure. The silica precursor does not obstruct the formation of hexagonal phases. After surfactant removal and drying, these hexagonal structures in samples with a certain amount of tetraethoxysilane (TEOS) loading are well retained while the nanostructures are collapsed in samples without silica reinforcement, leading to the hypothesis that the reinforcement provided by the silica network stabilizes the LLC structure. The study examines the conditions necessary for a sufficient and well dispersed silica network in PEGDA gels that contributes to the retention of original LLC structures, which potentially enables broad applications of these gels as biomedical and membrane materials.

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This paper argues that the effectiveness of HRM practices in tackling employee retention can be enhanced by improving the compatibility between employee and organisational values. We test our hypothesis using structural equation modelling on a sample of 258 employees in business process outsourcing (BPO) firms in the Philippines. The results show that the fit between employee and organisation values positively and partially mediates the effects of HRM practices on employee retention. However, employee–organisation value clash in US-owned BPOs was found to have a negative effect on employee retention. Because employees are less likely to leave when they share similar values as their organisations, HRM practices can be used strategically to improve the employee–organisation value fit to improve retention. The implications of the findings for HR managers of BPOs in developing countries are fully discussed.

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PURPOSE: To examine the acceptability of the methods used to evaluate Coping-Together, one of the first self-directed coping skill intervention for couples facing cancer, and to collect preliminary efficacy data. METHODS: Forty-two couples, randomized to a minimal ethical care (MEC) condition or to Coping-Together, completed a survey at baseline and 2 months after, a cost diary, and a process evaluation phone interview. RESULTS: One hundred seventy patients were referred to the study. However, 57 couples did not meet all eligibility criteria, and 51 refused study participation. On average, two to three couples were randomized per month, and on average it took 26 days to enrol a couple in the study. Two couples withdrew from MEC, none from Coping-Together. Only 44 % of the cost diaries were completed, and 55 % of patients and 60 % of partners found the surveys too long, and this despite the follow-up survey being five pages shorter than the baseline one. Trends in favor of Coping-Together were noted for both patients and their partners. CONCLUSIONS: This study identified the challenges of conducting dyadic research, and a number of suggestions were put forward for future studies, including to question whether distress screening was necessary and what kind of control group might be more appropriate in future studies.

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BACKGROUND: To date, emergency nursing Transition to Specialty Practice Program (TSPP) evaluations have been single-site observational studies. The aim of this paper was to examine the professional development, recruitment and retention outcomes of Australian emergency nursing TSPPs. METHODS: An explanatory sequential design was used. Data were collected via online surveys and interviews of emergency Nurse Unit Managers and Nurse Educators. Survey data from EDs with TSPPs and EDs without TSPPs were compared. Qualitative data were analysed using content analysis. RESULTS: Data were collected from 118 EDs, and 13 interviews. TSPPs were offered in 72.1% of EDs. EDs with TSPPs had higher proportions of nurses with postgraduate qualifications (Mdn 28.3% vs. 22.1%, p=0.45) and Clinical Specialists (Mdn 16.4% vs. 6.3%, p=0.04). The median proportion of currently rostered nurses with TSPP completion was 34.2% in EDs with TSPPs introduced in 2000-2005 indicating ED high levels of retention. CONCLUSION: Emergency nursing TSPPs have had a positive effect on nursing professional development, recruitment and retention. To ensure consistency in outcomes and optimise reliability of emergency nursing skills and knowledge, a national emergency nursing TSPP framework is needed.

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OBJECTIVES: Parity, excessive gestational weight gain (GWG), and postpartum weight retention (PPWR) have been identified as risk factors for maternal obesity. The aim of this study was to explore whether GWG and PPWR at 6 and 12 months after birth differed for primiparous and multiparous Australian women. METHODS: One hundred thirty-eight Australian women provided weight measures in early to mid pregnancy (M = 16.7 weeks, SD = 2.3), late pregnancy (M = 37.7 weeks, SD = 2.4), 6 months postpartum (M = 6.1 months, SD = 1.4), and 12 months postpartum (M = 12.6 months, SD = 0.7). Height, parity, and demographic information were also collected. Prepregnancy body mass index (BMI), total GWG, incidence of excessive GWG, as well as change in BMI and BMI category from prepregnancy to 6 and 12 months postpartum were computed. Differences between primiparous and multiparous women were compared using analysis of covariance (controlling for age, prepregnancy BMI, and GWG) and χ(2) test of independence. RESULTS: Seventy women (50.7%) were primiparous and 68 women (49.3%) were multiparous. Primiparous women were more likely to retain weight at 12 months postpartum than multiparous women (p = .021; Cohen's d = .24). This difference was not reflected when analyzing change in BMI categories from prepregnancy to the postpartum. CONCLUSIONS: Evidence for the role of parity in PPWR is inconclusive. Future research should consider the temporal development of PPWR in primiparous and multiparous women, leading to tailored care in the postpartum period to help women return to a healthy prepregnancy weight.

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The recent upsurge in microbial genome data has revealed that hemoglobin-like (HbL) proteins may be widely distributed among bacteria and that some organisms may carry more than one HbL encoding gene. However, the discovery of HbL proteins has been limited to a small number of bacteria only. This study describes the prediction of HbL proteins and their domain classification using a machine learning approach. Support vector machine (SVM) models were developed for predicting HbL proteins based upon amino acid composition (AC), dipeptide composition (DC), hybrid method (AC + DC), and position specific scoring matrix (PSSM). In addition, we introduce for the first time a new prediction method based on max to min amino acid residue (MM) profiles. The average accuracy, standard deviation (SD), false positive rate (FPR), confusion matrix, and receiver operating characteristic (ROC) were analyzed. We also compared the performance of our proposed models in homology detection databases. The performance of the different approaches was estimated using fivefold cross-validation techniques. Prediction accuracy was further investigated through confusion matrix and ROC curve analysis. All experimental results indicate that the proposed BacHbpred can be a perspective predictor for determination of HbL related proteins. BacHbpred, a web tool, has been developed for HbL prediction.