The Development And Validation Of An End-User Satisfaction Measure In A Student Laptop Environment

The purpose of this paper is to present the development and validation of a measurement model for student user satisfaction in a laptop environment. Using a “quasi Delphi” method in addition to contributions from prior research we used EFA and CFA (LISREL) to identify a five factor (14 item) measurement model that best fit the data. The structural model identified two factors related to overall student satisfaction. Suggestions and implications for how to use this measure are provided

Genome-wide investigation of light and carbon signaling interactions in Arabidopsis

BACKGROUND: Light and carbon are two essential signals influencing plant growth and development. Little is known about how carbon and light signaling pathways intersect or influence one another to affect gene expression. RESULTS: Microarrays are used to investigate carbon and light signaling interactions at a genome-wide level in Arabidopsis thaliana. A classification system, 'InterAct Class', is used to classify genes on the basis of their expression profiles. InterAct classes and the genes within them are placed into theoretical models describing interactions between carbon and light signaling. Within InterAct classes there are genes regulated by carbon (201 genes), light (77 genes) or through carbon and light interactions (1,247 genes). We determined whether genes involved in specific biological processes are over-represented in the population of genes regulated by carbon and/or light signaling. Of 29 primary functional categories identified by the Munich Information Center for Protein Sequences, five show over-representation of genes regulated by carbon and/or light. Metabolism has the highest representation of genes regulated by carbon and light interactions and includes the secondary functional categories of carbon-containing-compound/carbohydrate metabolism, amino-acid metabolism, lipid metabolism, fatty-acid metabolism and isoprenoid metabolism. Genes that share a similar InterAct class expression profile and are involved in the same biological process are used to identify putative cis elements possibly involved in responses to both carbon and light signals. CONCLUSIONS: The work presented here represents a method to organize and classify microarray datasets, enabling one to investigate signaling interactions and to identify putative cis elements in silico through the analysis of genes that share a similar expression profile and biological function

Development of an ESL curriculum to educate Chinese immigrants about hepatitis B.

Chinese immigrants to North America have substantially higher rates of chronic hepatitis B infection than the general population. One area for strategic development in the field of health education is the design and evaluation of English-as-a-Second language (ESL) curricula. The theoretical perspective of the Health Behavior Framework, results from a community-based survey of Chinese Canadian immigrants with limited English proficiency, and findings from focus groups of ESL instructors as well as Chinese ESL students were used to develop a hepatitis B ESL educational module. This research was conducted in Vancouver, BC. Survey data showed that less than three-fifths of the respondents had been tested for hepatitis B, and documented some important hepatitis B knowledge deficits. Further, only about one-quarter had ever received a physician recommendation for hepatitis B serologic testing. The ESL curriculum aims to both promote hepatitis B testing and improve knowledge, and includes seven different ESL exercises: Warm-up, vocabulary cards, information-gap, video, jigsaw, guided discussion, and problem/advice cards. Our quantitative and qualitative methods for curriculum development could be replicated for other health education topics and in other limited English speaking populations

An integrated genetic, genomic and systems approach defines gene networks regulated by the interaction of light and carbon signaling pathways in Arabidopsis

<p>Abstract</p> <p>Background</p> <p>Light and carbon are two important interacting signals affecting plant growth and development. The mechanism(s) and/or genes involved in sensing and/or mediating the signaling pathways involving these interactions are unknown. This study integrates genetic, genomic and systems approaches to identify a genetically perturbed gene network that is regulated by the interaction of carbon and light signaling in Arabidopsis.</p> <p>Results</p> <p>Carbon and light insensitive (<it>cli</it>) mutants were isolated. Microarray data from <it>cli186 </it>is analyzed to identify the genes, biological processes and gene networks affected by the integration of light and carbon pathways. Analysis of this data reveals 966 genes regulated by light and/or carbon signaling in wild-type. In <it>cli186</it>, 216 of these light/carbon regulated genes are misregulated in response to light and/or carbon treatments where 78% are misregulated in response to light and carbon interactions. Analysis of the gene lists show that genes in the biological processes "energy" and "metabolism" are over-represented among the 966 genes regulated by carbon and/or light in wild-type, and the 216 misregulated genes in <it>cli186</it>. To understand connections among carbon and/or light regulated genes in wild-type and the misregulated genes in <it>cli186</it>, the microarray data is interpreted in the context of metabolic and regulatory networks. The network created from the 966 light/carbon regulated genes in wild-type, reveals that <it>cli186 </it>is affected in the light and/or carbon regulation of a network of 60 connected genes, including six transcription factors. One transcription factor, HAT22 appears to be a regulatory "hub" in the <it>cli186 </it>network as it shows regulatory connections linking a metabolic network of genes involved in "amino acid metabolism", "C-compound/carbohydrate metabolism" and "glycolysis/gluconeogenesis".</p> <p>Conclusion</p> <p>The global misregulation of gene networks controlled by light and carbon signaling in <it>cli186 </it>indicates that it represents one of the first Arabidopsis mutants isolated that is specifically disrupted in the integration of both carbon and light signals to control the regulation of metabolic, developmental and regulatory genes. The network analysis of misregulated genes suggests that <it>CLI186 </it>acts to integrate light and carbon signaling interactions and is a master regulator connecting the regulation of a host of downstream metabolic and regulatory processes.</p

Diffusion of Cardiopulmonary Resuscitation Training to Chinese Immigrants with Limited English Proficiency

Cardiopulmonary resuscitation (CPR) is an effective intervention for prehospital cardiac arrest. Despite all available training opportunities for CPR, disparities exist in participation in CPR training, CPR knowledge, and receipt of bystander CPR for certain ethnic groups. We conducted five focus groups with Chinese immigrants who self-reported limited English proficiency (LEP). A bilingual facilitator conducted all the sessions. All discussions were taped, recorded, translated, and transcribed. Transcripts were analyzed by content analysis guided by the theory of diffusion. The majority of participants did not know of CPR and did not know where to get trained. Complexity of CPR procedure, advantages of calling 9-1-1, lack of confidence, and possible liability discourage LEP individuals to learn CPR. LEP individuals welcome simplified Hands-Only CPR and are willing to perform CPR with instruction from 9-1-1 operators. Expanding the current training to include Hands-Only CPR and dispatcher-assisted CPR may motivate Chinese LEP individuals to get trained for CPR

Compliance as a stable function in the treatment course of bipolar disorder in patients stabilized on olanzapine: results from a 24-month observational study

Compliance is a key factor in the maintenance treatment of bipolar disorder. This noninterventional study was conducted to explore factors associated with higher levels of compliance in bipolar patients, all treated in routine clinical settings. Bipolar outpatients (Clinical Global Impression of Severity score ≤3) who had been stabilized with olanzapine mono- or combination therapy for ≥4 weeks were enrolled in the study. Compliance to medication was assessed at baseline and after 3, 6, 9, 12, 18, and 24 months by a physician-rated, 4-point categorical scale using the following classification: noncompliant (patients being compliant to treatment schedule less than 20% of the time) and low (20% to 59% of the time), moderate (60% to 79% of the time), and high (≥80% of the time) levels of compliance. Both baseline and post-baseline factors were used in a generalized estimating equations (GEE) model to predict the likelihood of high compliance. Of 891 eligible patients, 657 patients completed the 24-month observation period. High levels of compliance (≥80%) were observed in 67% of patients at baseline, increasing to 80% in study completers. High compliance at baseline was identified as a strong predictor of compliance during study participation (odds ratio (OR) = 6.9, 95% confidence interval (CI) = 5.0 to 9.5, p < 0.001). Factors associated with high compliance during the study (GEE model) included greater life satisfaction (p = 0.002), better insight into illness (p < 0.001), less work impairment (p = 0.007), and fewer days of inpatient care (p = 0.002). Compliance ratings varied by country (p < 0.001) and duration of post-baseline treatment (p = 0.014). In conclusion, a number of clinical, functional, and social factors were identified as predictors of compliance in patients with bipolar disorder. As compliance is crucial for the long-term management of these patients, more attention should be directed towards compliance itself and factors associated with compliance levels in everyday treatment settings

Targeted Drug-Resistance Testing Strategy for Multidrug-Resistant Tuberculosis Detection, Lima, Peru, 2005–2008

Running head: Targeted Drug-Resistance Testing Strategy for MDR T

Scale-up of Multidrug-Resistant Tuberculosis Laboratory Services, Peru

One-sentence summary for table of contents: Strategic design and implementation of these services is feasible in resource-poor settings

Lack of association between PCK1 polymorphisms and obesity, physical activity, and fitness in European Youth Heart Study (EYHS)

Phosphoenolpyruvate carboxykinase-1 (PCK1) is the rate-limiting enzyme in the hepatic gluconeogenic pathway. Studies have shown that overexpression of Pck1 in mice results in obesity-related traits and higher levels of physical activity (PA). Therefore, our aims were to investigate whether common genetic variation in the PCK1 gene influences obesity-related traits, PA, and fitness, and to examine whether PA and fitness attenuate the influence of the PCK1 polymorphisms on obesity in children. Analyses were undertaken on data from Danish and Estonian children (958 boys and 1,104 girls) from the European Youth Heart Study (EYHS), a school-based, cross-sectional study of children (mean ± s.d. age: 9.6 ± 0.4 years) and adolescents (15.5 ± 0.5 years). We genotyped eight polymorphisms that captured the common genetic variations in the PCK1 gene. The association between the PCK1 polymorphisms and BMI, waist circumference (WC), sum of four skinfolds, PA, and fitness was tested using an additive model adjusted for age, age-group, gender, maturity, and country. Interactions were tested by including interaction terms in the model. None of the polymorphisms were significantly associated with BMI, WC, sum of four skinfolds, PA, and fitness, and also with the risk of being overweight or obese (P > 0.05). The interactions between the polymorphisms and age-group, gender, PA, and fitness were not statistically significant. This is the first study to comprehensively examine the association of PCK1 polymorphisms with obesity, PA, and fitness. Despite strong evidence from animal studies, our study in the EYHS cohort failed to identify an association of PCK1 polymorphisms with obesity, PA, and fitness

Repressor CopG prevents access of RNA polymerase to promoter and actively dissociates open complexes

Replication of the promiscuous plasmid pMV158 requires expression of the initiator repB gene, which is controlled by the repressor CopG. Genes repB and copG are co-transcribed from promoter Pcr. We have studied the interactions between RNA polymerase, CopG and the promoter to elucidate the mechanism of repression by CopG. Complexes formed at 0°C and at 37°C between RNA polymerase and Pcr differed from each other in stability and in the extent of the DNA contacted. The 37°C complex was very stable (half-life of about 3 h), and shared features with typical open complexes generated at a variety of promoters. CopG protein repressed transcription from Pcr at two different stages in the process leading to the initiation complex. First, CopG hindered binding of RNA polymerase to the promoter. Second, CopG was able to displace RNA polymerase once the enzyme has formed a stable complex with Pcr. A model for the CopG-mediated disassembly of the stable RNA polymerase–Pcr promoter complex is presented