Governor’s Office of Drug Control Policy Performance Report, FY2005

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2006

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2007

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2008

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2009

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2010

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2011

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Report, FY2012

Agency Performance Report

Governor’s Office of Drug Control Policy Performance Plan, FY 2013

Agency Performance Plan, Governor’s Office of Drug Control Policy

Governor’s Office of Drug Control Policy Performance Plan, FY2014

Agency Performance Plan, Governor’s Office of Drug Control Policy

Governor's Office of Drug Control Policy Five-Year Strategic Plan July 1, 2010-June 30, 2015

The Office of the Drug Policy Coordinator is established in Chapter 80E of the Code of Iowa. The Coordinator directs the Governor’s Office of Drug Control Policy; coordinates and monitors all statewide counter-drug efforts, substance abuse treatment grants and programs, and substance abuse prevention and education programs; and engages in other related activities involving the Departments of public safety, corrections, education, public health, and human services. The coordinator assists in the development of local and community strategies to fight substance abuse, including local law enforcement, education, and treatment activities. The Drug Policy Coordinator serves as chairperson to the Drug Policy Advisory Council. The council includes the directors of the departments of corrections, education, public health, public safety, human services, division of criminal and juvenile justice planning, and human rights. The Council also consists of a prosecuting attorney, substance abuse treatment specialist, substance abuse prevention specialist, substance abuse treatment program director, judge, and one representative each from the Iowa Association of Chiefs of Police and Peace Officers, the Iowa State Police Association, and the Iowa State Sheriff’s and Deputies’ Association. Council members are appointed by the Governor and confirmed by the Senate. The council makes policy recommendations related to substance abuse education, prevention, and treatment, and drug enforcement. The Council and the Coordinator oversee the development and implementation of a comprehensive State of Iowa Drug Control Strategy. The Office of Drug Control Policy administers federal grant programs to improve the criminal justice system by supporting drug enforcement, substance abuse prevention and offender treatment programs across the state. The ODCP prepares and submits the Iowa Drug and Violent Crime Control Strategy to the U.S. Department of Justice, with recommendations from the Drug Policy Advisory Council. The ODCP also provides program and fiscal technical assistance to state and local agencies, as well as program evaluation and grants management.

Determination of the critical period of weed control in corn using a thermal basis

Field studies were conducted over 3 years in southeast Buenos Aires, Argentina, to determine the critical period of weed control in maize (Zea mays L.). The treatments consisted of two different periods of weed interference, a critical weed-free period, and a critical time of weed removal. The Gompertz and logistic equations were fitted to relative yields representing the critical weed-free and the critical time of weed removal, respectively. Accumulated thermal units were used to describe each period of weed-free or weed removal. The critical weed-free period and the critical time of weed removal ranged from 222 to 416 and 128 to 261 accumulated thermal units respectively, to prevent yield losses of 2.5%. Weed biomass proved to be inverse to the crop yield for all the years studied. When weeds competed with the crop from emergence, a large increase in weed biomass was achieved 10 days after crop emergence. However, few weed seedlings emerged and prospered after the 5-6 leaf maize stage (10-20 days after emergence).

Hypofractionated radiotherapy in the treatment of diffuse intrinsic pontine glioma in children: a single institution's experience

Objective: To demonstrate our institutional experience in the treatment ofdiffuse intrinsic pontine glioma (DIPG) with an hypofractionated external beam radiotherapy schedule.Materials and Methods: Between April 1996 and January 2004, 22 patients, ages 2.9-12.5 years, with newly diagnosed DIPG were treated by hypofractionated radiation therapy delivering a total dose of 45 Gy in daily fraction of 3 Gy, given over 3 weeks. No other treatment was applied concomittently.Results: Fourteen of the 22 patients received the prescribed dose of 45 Gy in 15 fractions of 3 Gy, two patients received a total dose of 60 and 45 Gy with a combination of two different beams (photons and neutrons), in 5 cases the daily fraction was modified to 2 Gy because of bad tolerance and one patient died due to serious intracranial hypertension after 2 fractions of 3 Gy and one of 2 Gy. Fourteen patients of 22 patients/of the total showed a clinical improvement, usually starting in the second week of treatment. No grade 3 or 4 acute toxicity from radiotherapy was observed. No treatment interruption was needed. In six patients, steroids could be discontinued within one month after the end of radiotherapy. The median time to progression and the median overall survival were 5.7 months and 7.6 months, respectively.Conclusion: External radiotherapy with a radical hypofractionated regimen is feasible and well tolerated in children with newly diagnosed DIPG. This regimen does not seem however to change the overall survival in this setting. It could represent an alternative option of short duration to more protracted regimens.

On stand by: host genetics of HIV control.

The impact of host genetic variation on determining the differential outcomes after HIV infection has been studied by two approaches: targeting of candidate genes and genome-wide association studies (GWASs). The overlap in genetic variants that has been identified by these two means has essentially been restricted to variants near to the human leukocyte antigen (HLA) class I genes, although variation in the CCR5 locus, which was first shown to have an effect on HIV outcomes using the candidate gene approach, does reach significance genome-wide when very large samples sizes (i.e. thousands) are used in GWAS. Overall, many of the variants identified by the candidate gene approach are likely to be spurious, as no additional variants apart from a novel variant near the HLA-C gene have been consistently identified by GWAS. Variants with low frequency and/or low impact on HIV outcomes are likely to exist in the genome and there could be many of them, but these are not identifiable, given current GWAS sample sizes. Several loci centrally involved in the immune response, including the immunoglobulin genes, T-cell receptor loci, or leukocyte receptor complex, are either poorly covered on the GWAS chips or difficult to interpret due to their repetitive nature and/or the presence of insertion/deletion polymorphisms in the region. These loci warrant further interrogation, but genetic characterization of these regions across a range of individuals will first be required. Finally, synergistic interactions between loci may affect outcome after infection, as suggested by associations of specific, functionally relevant HLA and killer cell immunoglobulin-like receptor variants with HIV disease outcomes, and these require further consideration as well.

Statistical modeling of bowing control applied to violin sound synthesis

Excitation-continuous music instrument control patterns are often not explicitly represented in current sound synthesis techniques when applied to automatic performance. Both physical model-based and sample-based synthesis paradigmswould benefit from a flexible and accurate instrument control model, enabling the improvement of naturalness and realism. Wepresent a framework for modeling bowing control parameters inviolin performance. Nearly non-intrusive sensing techniques allow for accurate acquisition of relevant timbre-related bowing control parameter signals.We model the temporal contour of bow velocity, bow pressing force, and bow-bridge distance as sequences of short Bézier cubic curve segments. Considering different articulations, dynamics, and performance contexts, a number of note classes are defined. Contours of bowing parameters in a performance database are analyzed at note-level by following a predefined grammar that dictates characteristics of curve segment sequences for each of the classes in consideration. As a result, contour analysis of bowing parameters of each note yields an optimal representation vector that is sufficient for reconstructing original contours with significant fidelity. From the resulting representation vectors, we construct a statistical model based on Gaussian mixtures suitable for both the analysis and synthesis of bowing parameter contours. By using the estimated models, synthetic contours can be generated through a bow planning algorithm able to reproduce possible constraints caused by the finite length of the bow. Rendered contours are successfully used in two preliminary synthesis frameworks: digital waveguide-based bowed stringphysical modeling and sample-based spectral-domain synthesis.