LRIG1 inhibits STAT3-dependent inflammation to maintain corneal homeostasis.

Corneal integrity and transparency are indispensable for good vision. Cornea homeostasis is entirely dependent upon corneal stem cells, which are required for complex wound-healing processes that restore corneal integrity following epithelial damage. Here, we found that leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) is highly expressed in the human holoclone-type corneal epithelial stem cell population and sporadically expressed in the basal cells of ocular-surface epithelium. In murine models, LRIG1 regulated corneal epithelial cell fate during wound repair. Deletion of Lrig1 resulted in impaired stem cell recruitment following injury and promoted a cell-fate switch from transparent epithelium to keratinized skin-like epidermis, which led to corneal blindness. In addition, we determined that LRIG1 is a negative regulator of the STAT3-dependent inflammatory pathway. Inhibition of STAT3 in corneas of Lrig1-/- mice rescued pathological phenotypes and prevented corneal opacity. Additionally, transgenic mice that expressed a constitutively active form of STAT3 in the corneal epithelium had abnormal features, including corneal plaques and neovascularization similar to that found in Lrig1-/- mice. Bone marrow chimera experiments indicated that LRIG1 also coordinates the function of bone marrow-derived inflammatory cells. Together, our data indicate that LRIG1 orchestrates corneal-tissue transparency and cell fate during repair, and identify LRIG1 as a key regulator of tissue homeostasis.

A first-principles analysis of the magnetism of CuII polynuclear coordination complexes: the case of [Cu4(bpy)4(aspartate)2(H2O)3](ClO4)4·2.5H2O

The magnetic structure of the [Cu4(bpy)4(aspartate)2(H2O)3](ClO4)4·2.5 H2Ocrystal - using fractional coordinates determined at room-temperature ¿ has beenanalysed in detail. This analysis has been carried out by extending our first principlesbottom-up theoretical approach, which was initially designed to study through-spacemagnetic interactions, to handle through-bond magnetic interactions. The only input datarequired by this approach are the values of the computed JAB exchange parameters for allthe unique pairs of spin-containing centres. The results allow the magnetic structure ofthe crystal, which presents two types of isolated tetranuclear CuII clusters, to be definedin quantitative terms. Each of these clusters presents ferro and antiferromagneticinteractions, the former being stronger, although outnumbered by the latter. Thecomputed magnetic susceptibility curve shows the same qualitative features as theexperimental data. However, there are small differences that are presumed to beassociated with the use of room-temperature crystal coordinates.

Development of a two-step screening ESI-TOF-MS method for rapid determination of significant stress-induced metabolome modifications in plant leaf extracts: the wound response in Arabidopsis thaliana as a case study.

To study the stress-induced effects caused by wounding under a new perspective, a metabolomic strategy based on HPLC-MS has been devised for the model plant Arabidopsis thaliana. To detect induced metabolites and precisely localise these compounds among the numerous constitutive metabolites, HPLC-MS analyses were performed in a two-step strategy. In a first step, rapid direct TOF-MS measurements of the crude leaf extract were performed with a ballistic gradient on a short LC-column. The HPLC-MS data were investigated by multivariate analysis as total mass spectra (TMS). Principal components analysis (PCA) and hierarchical cluster analysis (HCA) on principal coordinates were combined for data treatment. PCA and HCA demonstrated a clear clustering of plant specimens selecting the highest discriminating ions given by the complete data analysis, leading to the specific detection of discrete-induced ions (m/z values). Furthermore, pool constitution with plants of homogeneous behaviour was achieved for confirmatory analysis. In this second step, long high-resolution LC profilings on an UPLC-TOF-MS system were used on pooled samples. This allowed to precisely localise the putative biological marker induced by wounding and by specific extraction of accurate m/z values detected in the screening procedure with the TMS spectra.

Location referencing system team report : final report, 1998

This report is a culmination of the Location Referencing System (LRS) team. The team was charged with defining a system that coordinates the collection storage, and access to location referencing information by developing an LRS to be used throughout the Iowa DOT.

Does the physical disector method provide an accurate estimation of sensory neuron number in rat dorsal root ganglia?

The physical disector is a method of choice for estimating unbiased neuron numbers; nevertheless, calibration is needed to evaluate each counting method. The validity of this method can be assessed by comparing the estimated cell number with the true number determined by a direct counting method in serial sections. We reconstructed a 1/5 of rat lumbar dorsal root ganglia taken from two experimental conditions. From each ganglion, images of 200 adjacent semi-thin sections were used to reconstruct a volumetric dataset (stack of voxels). On these stacks the number of sensory neurons was estimated and counted respectively by physical disector and direct counting methods. Also, using the coordinates of nuclei from the direct counting, we simulate, by a Matlab program, disector pairs separated by increasing distances in a ganglion model. The comparison between the results of these approaches clearly demonstrates that the physical disector method provides a valid and reliable estimate of the number of sensory neurons only when the distance between the consecutive disector pairs is 60 microm or smaller. In these conditions the size of error between the results of physical disector and direct counting does not exceed 6%. In contrast when the distance between two pairs is larger than 60 microm (70-200 microm) the size of error increases rapidly to 27%. We conclude that the physical dissector method provides a reliable estimate of the number of rat sensory neurons only when the separating distance between the consecutive dissector pairs is no larger than 60 microm.

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.

Extreme homogeneity among Brazilian wheat genotypes determined by RAPD markers

Random amplified polymorphic DNA markers (RAPD) were used to estimate the variability of 14 genotypes of Brazilian wheat (Triticum aestivum L.), using a set of 50 random 10mer primers. A total of 256 reproducibly scorable DNA amplification products were obtained from 48 of the primers, 83% of which were polymorphic. Genetic distances among genotypes were calculated and a dendrogram and a principal coordinates analysis showing the genetic relationships among them were obtained. Despite the low variability found (average genetic distance of 27%), two groups of genotypes could be identified, which probably reflect how they were formed. Studies such as this one may be important in the planning and development of future improvement programs for this plant species.

Tumor-host interactions Part 1: Stromal signatures of breast and prostate cancer Part 2: GLG1 and the control of the secretory pathway in tumor cells

Tumor-host interaction is a key determinant during cancer progression, from primary tumor growth to metastatic dissemination. At each step, tumor cells have to adapt to and subvert different types of microenvironment, leading to major phenotypic and genotypic alterations that affect both tumor and surrounding stromal compartments. Understanding the molecular mechanisms that govern tumor-host interplay may be essential for better comprehension of tumorigenesis in an effort to improve current anti-cancer therapies. The present work is composed of two projects that address tumor-host interactions from two different perspectives, the first focusing on the characterization of tumor-associated stroma and the second on membrane trafficking in tumor cells. Part 1. To selectively address stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to analyze the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Comparison showed that invasive breast and prostate cancer elicit distinct, tumor-specific stromal responses, with a limited panel of shared induced and/or repressed genes. Both breast and prostate tumor-specific deregulated stromal gene sets displayed statistically significant survival-predictive ability for their respective tumor type. By contrast, a stromal gene signature common to both tumor types did not display prognostic value, although expression of two individual genes within this common signature was found to be associated with patient survival. Part 2. GLG1 is known as an E-selectin ligand and an intracellular FGF receptor, depending on cell type and context. Immunohistochemical and immunofluorescence analyses showed that GLG1 is primarily localized in the Golgi of human tumor cells, a central location in the biosynthetic/secretory pathways. GLG1 has been shown to interact with and to recruit the ARF GEF BIGI to the Golgi membrane. Depletion of GLG1 or BIGI markedly reduced ARF3 membrane localization and activation, and altered the Golgi structure. Interestingly, these perturbations did not impair constitutive secretion in general, but rather seemed to impair secretion of a specific subset of proteins that includes MMP-9. Thus, GLG1 coordinates ARF3 activation by recruiting BIGI to the Golgi membrane, thereby affecting secretion of specific molecules. - Les interactions tumeur-hôte constituent un élément essentiel à la progression tumorale, de la croissance de la tumeur primaire à la dissémination des métastases. A chaque étape, les cellules tumorales doivent s'adapter à différents types de microenvironnement et les détourner à leur propre avantage, donnant lieu à des altérations phénotypiques et génotypiques majeures qui affectent aussi bien la tumeur elle-même que le compartiment stromal environnant. L'étude des mécanismes moléculaires qui régissent les interactions tumeur-hôte constitue une étape essentielle pour une meilleure compréhension du processus de tumorigenèse dans le but d'améliorer les thérapies anti cancer existantes. Le travail présenté ici est composé de deux projets qui abordent la problématique des interactions tumeur-hôte selon différentes perspectives, le premier se concentrant sur la caractérisation du stroma tumoral et le second sur le trafic intracellulaire des cellules tumorales. Partie 1. Pour examiner les changements d'expression des gènes dans le stroma en réponse à la progression du cancer, des puces à ADN Affymetrix ont été utilisées afin d'analyser les transcriptomes des cellules stromales issues de carcinomes invasifs du sein et de la prostate et collectées par microdissection au laser. L'analyse comparative a montré que les cancers invasifs du sein et de la prostate provoquent des réponses stromales spécifiques à chaque type de tumeur, et présentent peu de gènes induits ou réprimés de façon similaire. L'ensemble des gènes dérégulés dans le stroma associé au cancer du sein, ou à celui de la prostate, présente une valeur pronostique pour les patients atteints d'un cancer du sein, respectivement de la prostate. En revanche, la signature stromale commune aux deux types de cancer n'a aucune valeur prédictive, malgré le fait que l'expression de deux gènes présents dans cette liste soit liée à la survie des patients. Partie 2. GLG1 est connu comme un ligand des sélectines E ainsi que comme récepteur intracellulaire pour des facteurs de croissances FGFs selon le type de cellule dans lequel il est exprimé. Des analyses immunohistochimiques et d'immunofluorescence ont montré que dans les cellules tumorales, GLG1 est principalement localisé au niveau de l'appareil de Golgi, une place centrale dans la voie biosynthétique et sécrétoire. Nous avons montré que GLG1 interagit avec la protéine BIGI et participe à son recrutement à la membrane du Golgi. L'absence de GLG1 ou de BIGI réduit drastiquement le pool d'ARF3 associé aux membranes ainsi que la quantité d'ARF3 activés, et modifie la structure de l'appareil de Golgi. Il est particulièrement intéressant de constater que ces perturbations n'ont pas d'effet sur la sécrétion constitutive en général, mais semblent plutôt affecter la sécrétion spécifique d'un sous-groupe défini de protéines comprenant MMP-9. GLG1 coordonne donc l'activation de ARF3 en recrutant BIGI à la membrane du Golgi, agissant par ce moyen sur la sécrétion de molécules spécifiques.

Role of FGF and Wnt pathways in endoderm patterning and pancreas organogenesis

Summary Between gastrulation and gut tube formation, the endoderm becomes regionally specified along the anterior-posterior axis. An early sign of patterning is the expression of organ-specific genes in restricted endoderm domains. We studied the role of the fibroblast growth factor (FGF) and Wnt pathways in the establishment of the antero-posterior (A-P) axis domains. Here we report the first evidence that graded FGF4-mediated signaling establishes gut tube domains along the A-P axis in vivo from gastrulation to somitogenesis. At gastrulation, FGF4 may act cooperatively with Wnts, since both of them affect the gut tube patterning by promoting posterior and inhibiting anterior endoderm cell fate. The activity of the Wnt pathway is however time restricted, since. it does not affect patterning at somitogenesis. Our experiments point to a global mechanism that coordinates the A-P patterning of all three primary germ layers. Soon after regionalization of the gut tube, morphogenetic evidences of organogenesis appear. We focused our attention on one of these organs, the pancreas. We report a comprehensive investigation of the activity and the role of the Wnt pathway in pancreas organogenesis. We have used two mouse reporter lines to monitor canonical Wnt-pathway activity during development and after birth and demonstrate activity in early pancreatic bud, endocrine cells and in the mesenchyme. We have specifically deleted the ß-catenin .gene, a key component of the Wnt pathway, in the epithelium of the pancreas and duodenum using Pdxl -Cre mice. In agreement with Wnt pathway activity in pancreatic endocrine cells, we find a reduction in endocrine islet numbers. Our study reveals that ß-catenin deletion also affects cells in which Wnt pathway activity is not detected. Indeed, ß-catenin mutant cells have a competitive disadvantage during development that also' affects the exocrine compartment. Moreover, the conditional KO mice develop acute edematous pancreatitis perinatally due to the disruption of the epithelial structure of acini. These effects are likely to be due to the function of ß-catenin at the membrane. Résumé Entre la gastrulation et la formation du tube digestif, l'endoderme est progressivement régionalisé le long de l'axe antéropostérieur (A-P). Un des premiers signes de cette régionalisation est l'expression de gènes spécifiques à certains organes dans une région restreinte. Nous avons étudié l'implication des voies de signalisation FGF et Wnt dans l'établissement de la régionalisation A-P. Nous rapportons les premières preuves que FGF4 établit la ségrégation des domaines de l'endoderme le long de l'axe A-P in vivo de la gastrulation à la somitogenèse. Cette activité peut être menée en collaboration avec les Wnts, puisque ceux-ci influencent aussi l'endoderme en inhibant le destin antérieur et en induisant le destin postérieur des cellules. Cette activité des Wnts est perdue à la somitogenèse. Nos expériences démontrent une régionalisation coordonnée des trois feuillets germinaux le long de l'axe A-P. Peu après la régionalisation, les premiers signes morphologiques de l'organogenèse apparaissent. Nous nous sommes intéressés au rôle des Wnts dans un des dérivés de l'endoderme : le pancréas. Nous avons utilisés deux lignés de souris rapportrices de l'activité de la voie canonique des Wnts, qui montrent une activité dans le bourgeon précoce du pancréas avant la différentiation, puis plus tard dans les cellules endocrines et le mésenchyme. Nous avons utilisé la souris transgénique Pdxl -Cre pour inactiver spécifiquement le gène de la ß-caténine, un intermédiaire de la voie des Wnts, dans la région pancréatique. En accord avec l'activité de la voie de signalisation Wnt, la perte de la ßcaténine conduit à une réduction du nombre de cellules endocrines. De plus certaines cellules qui ne montrent aucune activité de la voie Wnt sont aussi affectées. En effet, les cellules ayant perdu la ß-caténine ont un désavantage compétitif face aux cellules sauvages dans un environnement mosaïque. Cette compétition résulte en l'absence de cellules déplétées en ßcaténine chez l'adulte. De plus, vers la naissance, les animaux déficients pour la ß-caténine développent une pancréatite aiguë due à la destruction de l'architecture des acini. Ceci est probablement aux fonctions d'adhésion de la ß-caténine à la membrane.

Predictive analysis and mapping of indoor radon concentrations in Switzerland

It is estimated that around 230 people die each year due to radon (222Rn) exposure in Switzerland. 222Rn occurs mainly in closed environments like buildings and originates primarily from the subjacent ground. Therefore it depends strongly on geology and shows substantial regional variations. Correct identification of these regional variations would lead to substantial reduction of 222Rn exposure of the population based on appropriate construction of new and mitigation of already existing buildings. Prediction of indoor 222Rn concentrations (IRC) and identification of 222Rn prone areas is however difficult since IRC depend on a variety of different variables like building characteristics, meteorology, geology and anthropogenic factors. The present work aims at the development of predictive models and the understanding of IRC in Switzerland, taking into account a maximum of information in order to minimize the prediction uncertainty. The predictive maps will be used as a decision-support tool for 222Rn risk management. The construction of these models is based on different data-driven statistical methods, in combination with geographical information systems (GIS). In a first phase we performed univariate analysis of IRC for different variables, namely the detector type, building category, foundation, year of construction, the average outdoor temperature during measurement, altitude and lithology. All variables showed significant associations to IRC. Buildings constructed after 1900 showed significantly lower IRC compared to earlier constructions. We observed a further drop of IRC after 1970. In addition to that, we found an association of IRC with altitude. With regard to lithology, we observed the lowest IRC in sedimentary rocks (excluding carbonates) and sediments and the highest IRC in the Jura carbonates and igneous rock. The IRC data was systematically analyzed for potential bias due to spatially unbalanced sampling of measurements. In order to facilitate the modeling and the interpretation of the influence of geology on IRC, we developed an algorithm based on k-medoids clustering which permits to define coherent geological classes in terms of IRC. We performed a soil gas 222Rn concentration (SRC) measurement campaign in order to determine the predictive power of SRC with respect to IRC. We found that the use of SRC is limited for IRC prediction. The second part of the project was dedicated to predictive mapping of IRC using models which take into account the multidimensionality of the process of 222Rn entry into buildings. We used kernel regression and ensemble regression tree for this purpose. We could explain up to 33% of the variance of the log transformed IRC all over Switzerland. This is a good performance compared to former attempts of IRC modeling in Switzerland. As predictor variables we considered geographical coordinates, altitude, outdoor temperature, building type, foundation, year of construction and detector type. Ensemble regression trees like random forests allow to determine the role of each IRC predictor in a multidimensional setting. We found spatial information like geology, altitude and coordinates to have stronger influences on IRC than building related variables like foundation type, building type and year of construction. Based on kernel estimation we developed an approach to determine the local probability of IRC to exceed 300 Bq/m3. In addition to that we developed a confidence index in order to provide an estimate of uncertainty of the map. All methods allow an easy creation of tailor-made maps for different building characteristics. Our work is an essential step towards a 222Rn risk assessment which accounts at the same time for different architectural situations as well as geological and geographical conditions. For the communication of 222Rn hazard to the population we recommend to make use of the probability map based on kernel estimation. The communication of 222Rn hazard could for example be implemented via a web interface where the users specify the characteristics and coordinates of their home in order to obtain the probability to be above a given IRC with a corresponding index of confidence. Taking into account the health effects of 222Rn, our results have the potential to substantially improve the estimation of the effective dose from 222Rn delivered to the Swiss population.

Mobile robot experimental modeling and control strategies using sensor fusion

This research work deals with the problem of modeling and design of low level speed controller for the mobile robot PRIM. The main objective is to develop an effective educational, and research tool. On one hand, the interests in using the open mobile platform PRIM consist in integrating several highly related subjects to the automatic control theory in an educational context, by embracing the subjects of communications, signal processing, sensor fusion and hardware design, amongst others. On the other hand, the idea is to implement useful navigation strategies such that the robot can be served as a mobile multimedia information point. It is in this context, when navigation strategies are oriented to goal achievement, that a local model predictive control is attained. Hence, such studies are presented as a very interesting control strategy in order to develop the future capabilities of the system. In this context the research developed includes the visual information as a meaningful source that allows detecting the obstacle position coordinates as well as planning the free obstacle trajectory that should be reached by the robot

ABS: a database of Annotated regulatory Binding Sites from orthologous promoters

Information about the genomic coordinates and the sequence of experimentally identified transcription factor binding sites is found scattered under a variety of diverse formats. The availability of standard collections of such high-quality data is important to design, evaluate and improve novel computational approaches to identify binding motifs on promoter sequences from related genes. ABS (http://genome.imim.es/datasets/abs2005/index.html) is a public database of known binding sites identified in promoters of orthologous vertebrate genes that have been manually curated from bibliography. We have annotated 650 experimental binding sites from 68 transcription factors and 100 orthologous target genes in human, mouse, rat or chicken genome sequences. Computational predictions and promoter alignment information are also provided for each entry. A simple and easy-to-use web interface facilitates data retrieval allowing different views of the information. In addition, the release 1.0 of ABS includes a customizable generator of artificial datasets based on the known sites contained in the collection and an evaluation tool to aid during the training and the assessment of motif-finding programs.

Kernel-based Mapping of Meteorological Fields in Complex Orography

Due to the advances in sensor networks and remote sensing technologies, the acquisition and storage rates of meteorological and climatological data increases every day and ask for novel and efficient processing algorithms. A fundamental problem of data analysis and modeling is the spatial prediction of meteorological variables in complex orography, which serves among others to extended climatological analyses, for the assimilation of data into numerical weather prediction models, for preparing inputs to hydrological models and for real time monitoring and short-term forecasting of weather.In this thesis, a new framework for spatial estimation is proposed by taking advantage of a class of algorithms emerging from the statistical learning theory. Nonparametric kernel-based methods for nonlinear data classification, regression and target detection, known as support vector machines (SVM), are adapted for mapping of meteorological variables in complex orography.With the advent of high resolution digital elevation models, the field of spatial prediction met new horizons. In fact, by exploiting image processing tools along with physical heuristics, an incredible number of terrain features which account for the topographic conditions at multiple spatial scales can be extracted. Such features are highly relevant for the mapping of meteorological variables because they control a considerable part of the spatial variability of meteorological fields in the complex Alpine orography. For instance, patterns of orographic rainfall, wind speed and cold air pools are known to be correlated with particular terrain forms, e.g. convex/concave surfaces and upwind sides of mountain slopes.Kernel-based methods are employed to learn the nonlinear statistical dependence which links the multidimensional space of geographical and topographic explanatory variables to the variable of interest, that is the wind speed as measured at the weather stations or the occurrence of orographic rainfall patterns as extracted from sequences of radar images. Compared to low dimensional models integrating only the geographical coordinates, the proposed framework opens a way to regionalize meteorological variables which are multidimensional in nature and rarely show spatial auto-correlation in the original space making the use of classical geostatistics tangled.The challenges which are explored during the thesis are manifolds. First, the complexity of models is optimized to impose appropriate smoothness properties and reduce the impact of noisy measurements. Secondly, a multiple kernel extension of SVM is considered to select the multiscale features which explain most of the spatial variability of wind speed. Then, SVM target detection methods are implemented to describe the orographic conditions which cause persistent and stationary rainfall patterns. Finally, the optimal splitting of the data is studied to estimate realistic performances and confidence intervals characterizing the uncertainty of predictions.The resulting maps of average wind speeds find applications within renewable resources assessment and opens a route to decrease the temporal scale of analysis to meet hydrological requirements. Furthermore, the maps depicting the susceptibility to orographic rainfall enhancement can be used to improve current radar-based quantitative precipitation estimation and forecasting systems and to generate stochastic ensembles of precipitation fields conditioned upon the orography.

Dedicated to Better and Safer Highways, Iowa State Highway Commission, July 1973

The planning, construction and maintenance of its highways is the state's second highest business, next only to education. Of the nearly 113,090 miles of roads and streets in Iowa, the 10,271 miles in the Interstate and primary system are the direct responsibility of the Highway Commission.From its central headquarters in Ames, the Commission coordinates its statewide activities through facilities located in each of the 99 counties. These include six district offices, 47 resident offices and 165 maintenance garages.

Governor's Office of Drug Control Policy Five-Year Strategic Plan, July 1, 2013-June 30, 2018

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.