Consumer perceptions in the adoption of the electronic health records in Australia: A pilot study

The paper reports an empirical investigation of the factors affecting consumer perceptions of the adoption of Electronic Health Records in Australia. This paper also details the processes involved in the pilot testing of the instrument where it has been pilot-tested to a convenience sample by sending individual postal survey envelopes to shortlisted community organisations in Australia. Reliability analysis to check the internal consistency was performed using the Cronbach’s alpha. Content validity was achieved by reviewing the instrument with a panel of experts. The results of this pilot study proved the feasibility of a full-scale study and these could be used as the basis for refinement of the instrument. Based upon the outcome of validity and reliability testing, items for the final instrument were identified. The findings showed that the tested model does fit the data well and has a significant and positive impact on the consumer’s attitude in using the EHR

Consumer perceptions in the adoption of the electronic health records in Australia: A pilot study

The paper reports an empirical investigation of the factors affecting consumer perceptions of the adoption of Electronic Health Records in Australia. This paper also details the processes involved in the pilot testing of the instrument where it has been pilot-tested to a convenience sample by sending individual postal survey envelopes to shortlisted community organisations in Australia. Reliability analysis to check the internal consistency was performed using the Cronbach’s alpha. Content validity was achieved by reviewing the instrument with a panel of experts. The results of this pilot study proved the feasibility of a full-scale study and these could be used as the basis for refinement of the instrument. Based upon the outcome of validity and reliability testing, items for the final instrument were identified. The findings showed that the tested model does fit the data well and has a significant and positive impact on the consumer’s attitude in using the EHR

Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques.

Droughts are recurring events in Australia and cause a severe effect on agricultural and water resources. However, the studies about agricultural drought risk mapping are very limited in Australia. Therefore, a comprehensive agricultural drought risk assessment approach that incorporates all the risk components with their influencing criteria is essential to generate detailed drought risk information for operational drought management. A comprehensive agricultural drought risk assessment approach was prepared in this work incorporating all components of risk (hazard, vulnerability, exposure, and mitigation capacity) with their relevant criteria using geospatial techniques. The prepared approach is then applied to identify the spatial pattern of agricultural drought risk for Northern New South Wales region of Australia. A total of 16 relevant criteria under each risk component were considered, and fuzzy logic aided geospatial techniques were used to prepare vulnerability, exposure, hazard, and mitigation capacity indices. These indices were then incorporated to quantify agricultural drought risk comprehensively in the study area. The outputs depicted that about 19.2% and 41.7% areas are under very-high and moderate to high risk to agricultural droughts, respectively. The efficiency of the results is successfully evaluated using a drought inventory map. The generated spatial drought risk information produced by this study can assist relevant authorities in formulating proactive agricultural drought mitigation strategies

New Product Development: Impact of Project Characteristics and Development Practices on Performance

Concurrent product development process and integrated product development teams have emerged as the two dominant new product development (NPD) “best practices” in the literature. Yet empirical evidence of their impact on product development succes

Modeling Bangladesh's gross domestic product using regression approach

This study finds the factors that affect Bangladesh’s Gross Domestic Product (GDP) through regression approach. Stepwise and Ridge regression techniques have been applied to build the suitable regression model. Model adequacy also has been checked and multicollinearity problem is addressed for a plausible model using appropriate remedial measures for each of the model one after another that yields stepwise regression. The multicollinearity problem has also been tried to combat by ridge regression. Finally, the model which is adequate and free from multicollinearity problem after applying the ridge regression has been considered as the credible model for predicting the GDP of Bangladesh. The final model shows that the factors population, imports of goods and services, agriculture value added, manufacturing value added and labor force are positively affecting the GDP of Bangladesh

Geometric distortion measurement for shape coding: a contemporary review

Geometric distortion measurement and the associated metrics involved are integral to the rate-distortion (RD) shape coding framework, with importantly the efficacy of the metrics being strongly influenced by the underlying measurement strategy. This has been the catalyst for many different techniques with this paper presenting a comprehensive review of geometric distortion measurement, the diverse metrics applied and their impact on shape coding. The respective performance of these measuring strategies is analysed from both a RD and complexity perspective, with a recent distortion measurement technique based on arc-length-parameterisation being comparatively evaluated. Some contemporary research challenges are also investigated, including schemes to effectively quantify shape deformation

Angiogenic factors and their soluble receptors predict organ dysfunction and mortality in post-cardiac arrest syndrome

INTRODUCTION: Post-cardiac arrest syndrome (PCAS) often leads to multiple organ dysfunction syndrome (MODS) with a poor prognosis. Endothelial and leukocyte activation after whole-body ischemia/reperfusion following resuscitation from cardiac arrest is a critical step in endothelial injury and related organ damage. Angiogenic factors, including vascular endothelial growth factor (VEGF) and angiopoietin (Ang), and their receptors play crucial roles in endothelial growth, survival signals, pathological angiogenesis and microvascular permeability. The aim of this study was to confirm the efficacy of angiogenic factors and their soluble receptors in predicting organ dysfunction and mortality in patients with PCAS. METHODS: A total of 52 resuscitated patients were divided into two subgroups: 23 survivors and 29 non-survivors. The serum levels of VEGF, soluble VEGF receptor (sVEGFR)1, sVEGFR2, Ang1, Ang2 and soluble Tie2 (sTie2) were measured at the time of admission (Day 1) and on Day 3 and Day 5. The ratio of Ang2 to Ang1 (Ang2/Ang1) was also calculated. This study compared the levels of angiogenic factors and their soluble receptors between survivors and non-survivors, and evaluated the predictive value of these factors for organ dysfunction and 28-day mortality. RESULTS: The non-survivors demonstrated more severe degrees of organ dysfunction and a higher prevalence of MODS. Non-survivors showed significant increases in the Ang2 levels and the Ang2/Ang1 ratios compared to survivors. A stepwise logistic regression analysis demonstrated that the Ang2 levels or the Ang2/Ang1 ratios on Day 1 independently predicted the 28-day mortality. The receiver operating characteristic curves of the Ang2 levels, and the Ang2/Ang1 ratios on Day 1 were good predictors of 28-day mortality. The Ang2 levels also independently predicted increases in the Sequential Organ Failure Assessment (SOFA) scores. CONCLUSIONS: We observed a marked imbalance between Ang1 and Ang2 in favor of Ang2 in PCAS patients, and the effect was more prominent in non-survivors. Angiogenic factors and their soluble receptors, particularly Ang2 and Ang2/Ang1, are considered to be valuable predictive biomarkers in the development of organ dysfunction and poor outcomes in PCAS patients

dictyBase, the model organism database for Dictyostelium discoideum

dictyBase () is the model organism database (MOD) for the social amoeba Dictyostelium discoideum. The unique biology and phylogenetic position of Dictyostelium offer a great opportunity to gain knowledge of processes not characterized in other organisms. The recent completion of the 34 MB genome sequence, together with the sizable scientific literature using Dictyostelium as a research organism, provided the necessary tools to create a well-annotated genome. dictyBase has leveraged software developed by the Saccharomyces Genome Database and the Generic Model Organism Database project. This has reduced the time required to develop a full-featured MOD and greatly facilitated our ability to focus on annotation and providing new functionality. We hope that manual curation of the Dictyostelium genome will facilitate the annotation of other genomes

Antidiabetic Effects of Momordica Charantia (Karela) in Male Long Evans Rat

The hypoglycemic effect of Momordica charantia (Karela) has been reported from many laboratories. To our knowledge, the underlying biochemical mechanism of action of this important clinical effect has not been reported. During the course of investigation of this aspect of the herbal fruit, it was reported from our laboratory that ethanolic extract of Momordica charantia suppressed gluconeogenesis in normal and streptozotocin (STZ) induced diabetic rats by depressing the hepatic gluconeogenic enzymes fructose-1,6-bisphosphatase and glucose-6-phosphatase. The herbal extract had also enhanced the activity of glucose-6-phosphate dehydrogenase, the rate-limiting enzyme of hexose monophosphate shunt (a pathway for the oxidation of glucose)