Rethinking educational ethnography. Researching online communities and interactions

[eng] Proceedings for the 2nd annual conference: Rethinking Educational Ethnography - Researching on-line communities and interactions. University of Barcelona, 7-8 June 2012.

Educational workforce tools : strategic workforce initiatives, 2012

A compilation of sample pages from various employment statistical reports issued by Iowa Workforce Development (IWD), including URLs for locating electronic versions of the reports online at the IWD website

Rethinking educational ethnography. Researching online communities and interactions

[eng] Proceedings for the 2nd annual conference: Rethinking Educational Ethnography - Researching on-line communities and interactions. University of Barcelona, 7-8 June 2012.

Rethinking educational ethnography. Researching online communities and interactions

[eng] Proceedings for the 2nd annual conference: Rethinking Educational Ethnography - Researching on-line communities and interactions. University of Barcelona, 7-8 June 2012.

Educational Leave-Assistance Report FY 2014, September 16, 2014

Iowa Code section 70A.25(3)(b) states the department shall report the direct and indirect costs of educational leave and educational assistance granted to its employees during the preceding fiscal year. The report shall include the number of employees granted educational leave and the amount of tuition reimbursement allowed; the number of employees granted leave from work to attend classes and who continued to receive their salary and the number of hours of work which those employees were excused; and the number of employees granted a temporary leave of absence from work to attend the classes without pay and the amount of time missed.

Violent adolescents and their educational environment: a multilevel analysis.

OBJECTIVE: This study examined the respective roles of personal and environmental factors in youth violence in a nationally representative sample of 7548 postmandatory school students and apprentices ages 16-20 years in Switzerland. METHODS: Youth violence was defined as having committed at least one of the following in the previous 12 months: attacking an adult, snatching something, carrying a weapon, or using a weapon in a fight. Different ecological levels were tested, resulting in a three-level model only in males (individual, classroom, and school) as the low prevalence of female violence did not allow for a multilevel analysis. Dependent variables were attributed to each level. For males, the classroom level (10%) and the school level (24%) accounted for more than one third in interindividual variance. RESULTS: Factors associated with violence perpetration in females were being a victim of physical violence and sensation seeking at the individual level. In males, practicing unsafe sex, sensation seeking, being a victim of physical violence, having a poor relationship with parents, being depressed, and living in a single-parent household at the individual level; violence and antisocial acts at the classroom level; and being in a vocational school at the school level showed a correlation with violence perpetration. CONCLUSION: Interventions at the classroom level as well as an explicit school policy on violence and other risk behaviors should be considered a priority when dealing with the problem of youth violence. Furthermore, prevention should take into account gender differences.

Audit report on the Office of Treasurer of State, Iowa Educational Savings Plan Trust for the year ended June 30, 2014

Audit report on the Office of Treasurer of State, Iowa Educational Savings Plan Trust for the year ended June 30, 2014

Improvement of therapeutic drug monitoring of imatinib by Bayesian prediction of trough levels. Personalized drug dosage

Aims: Plasma concentrations of imatinib differ largely between patients despite same dosage, owing to large inter-individual variability in pharmacokinetic (PK) parameters. As the drug concentration at the end of the dosage interval (Cmin) correlates with treatment response and tolerability, monitoring of Cmin is suggested for therapeutic drug monitoring (TDM) of imatinib. Due to logistic difficulties, random sampling during the dosage interval is however often performed in clinical practice, thus rendering the respective results not informative regarding Cmin values.Objectives: (I) To extrapolate randomly measured imatinib concentrations to more informative Cmin using classical Bayesian forecasting. (II) To extend the classical Bayesian method to account for correlation between PK parameters. (III) To evaluate the predictive performance of both methods.Methods: 31 paired blood samples (random and trough levels) were obtained from 19 cancer patients under imatinib. Two Bayesian maximum a posteriori (MAP) methods were implemented: (A) a classical method ignoring correlation between PK parameters, and (B) an extended one accounting for correlation. Both methods were applied to estimate individual PK parameters, conditional on random observations and covariate-adjusted priors from a population PK model. The PK parameter estimates were used to calculate trough levels. Relative prediction errors (PE) were analyzed to evaluate accuracy (one-sample t-test) and to compare precision between the methods (F-test to compare variances).Results: Both Bayesian MAP methods allowed non-biased predictions of individual Cmin compared to observations: (A) - 7% mean PE (CI95% - 18 to 4 %, p = 0.15) and (B) - 4% mean PE (CI95% - 18 to 10 %, p = 0.69). Relative standard deviations of actual observations from predictions were 22% (A) and 30% (B), i.e. comparable to the intraindividual variability reported. Precision was not improved by taking into account correlation between PK parameters (p = 0.22).Conclusion: Clinical interpretation of randomly measured imatinib concentrations can be assisted by Bayesian extrapolation to maximum likelihood Cmin. Classical Bayesian estimation can be applied for TDM without the need to include correlation between PK parameters. Both methods could be adapted in the future to evaluate other individual pharmacokinetic measures correlated to clinical outcomes, such as area under the curve(AUC).

Diabète et conduite: réflexions et atelier pratique [Diabetes and driving: thoughts and educational perspectives].

In Switzerland over 200'000 people with diagnosed diabetes drive a car. Their physicians endorse many roles: usual medical care as well as informing properly about driving recommandations and handling the legal issues behing the licensing procedure. Ability to drive can be impaired in three ways: hypogylcemia, diabetes complications and hyperglycemia. Hypoglycemia is the main risk factor of vehicle accident for diabetic drivers and frequent while driving. However few accidents are reported due to hypoglycemia. Swiss medical guidelines about diabetes and driving mention the requested conditions, but practically how should we do? We sought to answear by creating a specific educationnal program focused on hypoglycemia management. Building patient knowledges through experiences is the main goal of the course diabetes and driving.

Iowa Educational Directory, 2013-2014

Annual directory of PreK-12, area education agencies, universities, colleges, and the Iowa Department of Education

Late side-effects after curative intent radiotherapy: Identification of hypersensitive patients for personalized strategy.

Radiation therapy undeniably enhances local control and thus improves overall survival in cancer patients. However, some long-term cancer survivors (less than 10%) develop severe late radio-induced toxicities altering their quality of life. Therefore, there is a need to identify patients who are sensitive to those toxicities and who could benefit from adapted care. In this review, we address all available techniques aiming to detect patients' hyper-radiosensitivity and present the scientific rationales these techniques are based on.