909 resultados para EVALUATION MODEL


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A particle swarm optimisation approach is used to determine the accuracy and experimental relevance of six disparate cure kinetics models. The cure processes of two commercially available thermosetting polymer materials utilised in microelectronics manufacturing applications have been studied using a differential scanning calorimetry system. Numerical models have been fitted to the experimental data using a particle swarm optimisation algorithm which enables the ultimate accuracy of each of the models to be determined. The particle swarm optimisation approach to model fitting proves to be relatively rapid and effective in determining the optimal coefficient set for the cure kinetics models. Results indicate that the singlestep autocatalytic model is able to represent the curing process more accurately than more complex model, with ultimate accuracy likely to be limited by inaccuracies in the processing of the experimental data.

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Over the past ten years, mentoring of children and young people has become an increasingly important feature of social policy in the UK. This has been mirrored in the rapid growth in the number of mentoring schemes operating. However, it is widely acknowledged that no one single definition or model of mentoring exists; rather there are a number of different models providing support to young people in a range of settings. This research was undertaken during the autumn term of 2006 and the summer term of 2007. The methodology comprised an analysis of mentoring models in the 180 participating schools; questionnaires sent to all co-ordinators and to mentors/proteges in 40 schools; interviews with co-ordinators, pupils and support agents in 8 case study schools. Includes: •Introduction •Evaluation methodology •Analysis of school pilot application forms •Evaluation results •Conclusions •Recommendations •Bibliography •Appendices

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Dascalu, M., Trausan-Matu, S., McNamara, D.S., & Dessus, P. (2015). ReaderBench – Automated Evaluation of Collaboration based on Cohesion and Dialogism. International Journal of Computer-Supported Collaborative Learning, 10(4), 395–423. doi: 10.1007/s11412-015-9226-y

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Ocean color measured from satellites provides daily, global estimates of marine inherent optical properties (IOPs). Semi-analytical algorithms (SAAs) provide one mechanism for inverting the color of the water observed by the satellite into IOPs. While numerous SAAs exist, most are similarly constructed and few are appropriately parameterized for all water masses for all seasons. To initiate community-wide discussion of these limitations, NASA organized two workshops that deconstructed SAAs to identify similarities and uniqueness and to progress toward consensus on a unified SAA. This effort resulted in the development of the generalized IOP (GIOP) model software that allows for the construction of different SAAs at runtime by selection from an assortment of model parameterizations. As such, GIOP permits isolation and evaluation of specific modeling assumptions, construction of SAAs, development of regionally tuned SAAs, and execution of ensemble inversion modeling. Working groups associated with the workshops proposed a preliminary default configuration for GIOP (GIOP-DC), with alternative model parameterizations and features defined for subsequent evaluation. In this paper, we: (1) describe the theoretical basis of GIOP; (2) present GIOP-DC and verify its comparable performance to other popular SAAs using both in situ and synthetic data sets; and, (3) quantify the sensitivities of their output to their parameterization. We use the latter to develop a hierarchical sensitivity of SAAs to various model parameterizations, to identify components of SAAs that merit focus in future research, and to provide material for discussion on algorithm uncertainties and future emsemble applications.

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Objectives: To determine the impact of the prospective payment system (PPS) for skilled nursing facilities on the pharmacologic treatment of depression.

Methods: We used a quasi-experimental study comparing the pharmacological treatment rates for depression in the pre-PPS period (1997) to the post-PPS period (2000) in 8149 residents with documented depression living in over 500 nursing facilities in Ohio. Logistic regression models adjusting for clustering effects of residents residing in homes using generalized estimating equations provided estimates of the PPS effect on use of any antidepressant and the use of selective serotonin reuptake inhibitors (SSRIs). We evaluated the extent to which the PPS effect was modified by organizational characteristics, including structural characteristics, resource characteristics, and staff resources available in the homes.

Results: Overall, there was no difference in the likelihood of any antidepressant [odds ratio (OR), 1.05; 95% confidence interval (CI), 0.93 to 1.18, resident-adjusted model] or an SSRI being used (OR, 0.98; 95% CI, 0.86 to 1.12, resident-adjusted model) after the introduction of PPS compared with 1997 when this reimbursement system was not in place (referent group). These trends did not appear to be modified substantially by organizational characteristics.

Conclusion: Although PPS did not appear to have influenced the treatment of depression in nursing homes, systems that provide checks and balances in relation to PPS are warranted.

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An innovative bioadhesive patch intended primarily as a vulval drug delivery system and, specifically, as a means to deliver photosensitisers, or their prodrugs, for photodynamic purposes is described. The patch was formulated with a copolymer of methyl vinyl ether and maleic anhydride (PMVE/MA) as a bioadhesive matrix and poly(vinyl chloride) as a drug-impervious backing layer. Adhesive strength to neonate porcine skin, as a model substrate, was evaluated using peel and tensile testing measurements. Acceptabilities of non-drug loaded patches were appraised using human volunteers and visual-analogue scoring devices. An optimal formulation, with water uptake and peel strengths appropriate for vulval drug delivery, was cast from a 20% (w/w) PMVE/MA solution and adhered with a strength of approximately 1.7 N cm-2. Patient evaluation demonstrated comfort and firm attachment for up to 4 h in mobile patients. Aminolevulinic acid, a commonly used photosensitiser, was formulated into the candidate formulation and applied to vulval intraepithelial neoplastic lesions. Fluorescence under ultraviolet illumination revealed protoporphyrin synthesis. The patch achieves the extended application times obligatory in topical photodynamic therapy of vulval lesions, thereby contributing to potential methods for the eradication of neoplastic lesions in the lower female reproductive tract.

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The incorporation of one-dimensional simulation codes within engine modelling applications has proved to be a useful tool in evaluating unsteady gas flow through elements in the exhaust system. This paper reports on an experimental and theoretical investigation into the behaviour of unsteady gas flow through catalyst substrate elements. A one-dimensional (1-D) catalyst model has been incorporated into a 1-D simulation code to predict this behaviour.

Experimental data was acquired using a ‘single pulse’ test rig. Substrate samples were tested under ambient conditions in order to investigate a range of regimes experienced by the catalyst during operation. This allowed reflection and transmission characteristics to be quantified in relation to both geometric and physical properties of substrate elements. Correlation between measured and predicted results is demonstrably good and the model provides an effective analysis tool for evaluating unsteady gas flow through different catalytic converter designs.

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This paper provides a summary of our studies on robust speech recognition based on a new statistical approach – the probabilistic union model. We consider speech recognition given that part of the acoustic features may be corrupted by noise. The union model is a method for basing the recognition on the clean part of the features, thereby reducing the effect of the noise on recognition. To this end, the union model is similar to the missing feature method. However, the two methods achieve this end through different routes. The missing feature method usually requires the identity of the noisy data for noise removal, while the union model combines the local features based on the union of random events, to reduce the dependence of the model on information about the noise. We previously investigated the applications of the union model to speech recognition involving unknown partial corruption in frequency band, in time duration, and in feature streams. Additionally, a combination of the union model with conventional noise-reduction techniques was studied, as a means of dealing with a mixture of known or trainable noise and unknown unexpected noise. In this paper, a unified review, in the context of dealing with unknown partial feature corruption, is provided into each of these applications, giving the appropriate theory and implementation algorithms, along with an experimental evaluation.

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Background: Health care organizations world wide are faced with the need to develop and implement strategic organizational plans to meet the challenges of modern health care. There is a need for models for developing, implementing and evaluating strategic plans that engage practitioners, and make a measurable difference to the patients that they serve. This article describes the development of such a model to underpin a strategy for nursing and midwifery in an acute hospital trust. An integrated model: The processes for strategy development (values clarification, critical companionship and focus groups) are discussed, together with the development of processes for implementation, based upon a modification of the PARIHS (Promoting Action on Research Implementation in Health Services) conceptual framework. Finally, the methods for evaluating the strategy (a pre-test/post-test approach measuring the quality of nursing care, the degree to which the organization supports professional nursing care, the leadership styles of ward managers, and patient satisfaction with care) are described. Conclusion: The model is offered as one that may be of use to others who wish to develop an integrated approach to strategic change; an approach in which the development, implementation and evaluation of strategic plans are informed by the core values of nurses and midwives.

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Genome-scale metabolic models promise important insights into cell function. However, the definition of pathways and functional network modules within these models, and in the biochemical literature in general, is often based on intuitive reasoning. Although mathematical methods have been proposed to identify modules, which are defined as groups of reactions with correlated fluxes, there is a need for experimental verification. We show here that multivariate statistical analysis of the NMR-derived intra- and extracellular metabolite profiles of single-gene deletion mutants in specific metabolic pathways in the yeast Saccharomyces cerevisiae identified outliers whose profiles were markedly different from those of the other mutants in their respective pathways. Application of flux coupling analysis to a metabolic model of this yeast showed that the deleted gene in an outlying mutant encoded an enzyme that was not part of the same functional network module as the other enzymes in the pathway. We suggest that metabolomic methods such as this, which do not require any knowledge of how a gene deletion might perturb the metabolic network, provide an empirical method for validating and ultimately refining the predicted network structure.

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Purpose: A number of cytotoxic chemotherapy agents tested at low concentrations show antiangiogenic properties with limited cytotoxicity, e.g., cyclophosphamide, tirapazamine, and mitoxantrone. AQ4N is a bioreductive alkylaminoanthraquinone that is cytotoxic when reduced to AQ4; hence, it can be used to target hypoxic tumor cells. AQ4N is structurally similar to mitoxantrone and was evaluated for antiangiogenic properties without the need for bioreduction.

Experimental Design:The effect of AQ4N and fumagillin on human microvascular endothelial cells (HMEC-1) was measured using a variety ofin vitro assays, i.e., 3-(4,5-dimethylthiazol-2-yl)- 2,5-diphenyltetrazolium bromide, wound scrape, tubule formation, rat aortic ring, and invasion assays. Low-dose AQ4N (20 mg/kg) was also given in vivo to mice bearing a tumor in a dorsal skin flap.

Results:AQ4N (10-11to10-5mol/L) hadno effect on HMEC-1viability. AQ4N (10-9to10-5mol/L) caused a sigmoidal dose-dependent inhibition of endothelial cell migration in the wound scrape model. Fumagillin showed a similar response over a lower dose range (10-13 to 10-9 mol/L); however, the maximal inhibition was less (25% versus 43% for AQ4N). AQ4N inhibited HMEC-1 cell contacts on Matrigel (10-8 to 10-5 mol/L), HMEC-1 cell invasion, and sprouting in rat aorta explants. Immunofluorescence staining with tubulin, vimentim, dynein, and phalloidin revealed that AQ4N caused disruption to the cell cytoskeleton. When AQ4N (20 mg/kg) was given in vivo for 5 days, microvessels disappeared in LNCaP tumors grown in a dorsal skin flap.

Conclusions:This combination of assays has shown that AQ4N possesses antiangiogenic effects in normoxic conditions, which could potentially contribute to antitumor activity

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Thermogravimetry (TG) can be used for assessing the compositional differences in grasses that relate to dry matter digestibility (DMD) determined by pepsin-cellulase assay. This investigation developed regression models for predicting DMD of herbage grass during one growing season using TG results. The calibration samples were obtained from a field trial of eight cultivars and two breeding lines. The harvested materials from five cuts were analysed by TG to identify differences in the combustion patterns within the range of 30-600 degrees C. The discrete results including weight loss, peak height, area, temperature, widths and residue of three decomposition peaks were regressed against the measured DMD values of the calibration samples. Similarly, continuous weight loss results of the same samples were also utilised to generate DMD models. The r(2) for validation of the discrete and the best continuous models were 0.90 and 0.95, respectively, and the two calibrations were validated using independent samples from 24 plots from a trial carried out in 2004. The standard error for prediction of the 24 samples by the discrete model (4.14%) was higher than that by the continuous model (2.98%). This study has shown that DMD of grass could be predicted from the TG results. The benefit of thermal analysis is the ability to detect and show changes in composition of cell wall fractions of grasses during different cuts in a year.

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This article describes the work of Newry Student Unit which operates in the Southern Health and Social Care Trust. The background to the unit is outlined and its development is discussed in the context of practice learning provision in Northern Ireland. The operation of the unit in providing Family and Child Care practice learning opportunities (PLOs) for student social workers is outlined and findings from evaluation questionnaires completed by students, college tutors and team leaders are presented. The paper highlights both the advantages and disadvantages of this model of PLO provision and concludes that it is a valuable resource for practice learning. Proposals for the development of the unit are discussed and it is suggested that the model has the potential be replicated in other areas of Northern Ireland.

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BACKGROUND: HIV microbicide trials have emphasized the need to evaluate the safety of topical microbicides and delivery platforms in an animal model prior to conducting clinical efficacy trials. An ideal delivery device should provide sustainable and sufficient concentrations of effective products to prevent HIV transmission while not increasing transmission risk by either local mucosal inflammation and/or disruption of the normal vaginal microflora.

METHODS: Safety analyses of macaque-sized elastomeric silicone and polyurethane intravaginal rings (IVRs) loaded with candidate antiretroviral (ARV) drugs were tested in four studies ranging in duration from 49 to 73 days with retention of the IVR being 28 days in each study. Macaques were assigned to 3 groups; blank IVR, ARV-loaded IVR, and naïve. In sequential studies, the same macaques were used but rotated into different groups. Mucosal and systemic levels of cytokines were measured from vaginal fluids and plasma, respectively, using multiplex technology. Changes in vaginal microflora were also monitored. Statistical analysis (Mann-Whitney test) was used to compare data between two groups of unpaired samples (with and without IVR, and IVR with and without ARV) for the groups collectively, and also for individual macaques.

RESULTS: There were few statistically significant differences in mucosal and systemic cytokine levels measured longitudinally when the ring was present or absent, with or without ARVs. Of the 8 proinflammatory cytokines assayed a significant increase (p = 0.015) was only observed for IL8 in plasma with the blank and ARV loaded IVR (median of 9.2 vs. 5.7 pg/ml in the absence of IVR). There were no significant differences in the prevalence of H2O2-producing lactobacilli or viridans streptococci, or other microorganisms indicative of healthy vaginal microflora. However, there was an increase in the number of anaerobic gram negative rods in the presence of the IVR (p= < 0.0001).

CONCLUSIONS: IVRs with or without ARVs neither significantly induce the majority of potentially harmful proinflammatory cytokines locally or systemically, nor alter the lactobacillus or G. vaginalis levels. The increase in anaerobic gram negative rods alone suggests minimal disruption of normal vaginal microflora. The use of IVRs as a long-term sustained delivery device for ARVs is promising and preclinical studies to demonstrate the prevention of transmission in the HIV/SHIV nonhuman primate model should continue.

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This article contributes towards redefining school improvement more broadly than conventional outcomes sometimes imply, and describes original and practical applications of school self-evaluation models. The significance of the work has been acknowledged by reviewers in the school improvement and peacebuilding and development fields. As a result of the research reported here, Smith was invited to support the work of the Department for Education Northern Ireland Schools Community Relations Panel and the Community Relations officers representing the five Education and Library Boards. The latter used the self-evaluation framework as a model for developing a regional whole-school self-evaluation document. Smith was the lead author of the paper.