Small-area estimation with spatial similarity

A class of composite estimators of small area quantities that exploit spatial (distancerelated)similarity is derived. It is based on a distribution-free model for the areas, but theestimators are aimed to have optimal design-based properties. Composition is applied alsoto estimate some of the global parameters on which the small area estimators depend.It is shown that the commonly adopted assumption of random effects is not necessaryfor exploiting the similarity of the districts (borrowing strength across the districts). Themethods are applied in the estimation of the mean household sizes and the proportions ofsingle-member households in the counties (comarcas) of Catalonia. The simplest version ofthe estimators is more efficient than the established alternatives, even though the extentof spatial similarity is quite modest.

Why did modern trade fairs appear?

According to our interpretation, modern trade fairs started in Europe during the FirstWorld War and in its immediate aftermath. With the closing of trade movements duringthe war, many cities had to resort to the old medieval tradition of providing especialpermits to traders to guarantee them personal protection during their trade meetings.During the tough post war crisis many more cities typically industrial districts-discovered in the creation of trade fairs a powerful competitive tool to attract markettransactions. We compare these developments with the remote origins of fairs, as, inboth cases, trade fair development is a reaction to the closing of free markets under thepressure of political violence.

Els termenals de Solius (Santa Cristina d'Aro, Baix Empordà) de l'any 916 al 1057

The boundaries of Solius (Santa Cristina d'Aro, Baix Empordà) from 916 to 1057. Basing its study on seven documentsfrom the years 916 to 1057, the place names are described and located on two maps marking the boundaries of the district of Solius (Santa Cristina d'Aro, Baix Empordà). There is an attempt to show, among these facts, that there actually existed three different districts of Solius, which we call here Solius Whole, Solius Maritime and Solius Continental; there is also reference made to the names of the different owners as well as the border relations with the neighbouring villages

[Archives de la Parole]. , The Prodigal son : in Mundari / [Sir George Grierson], éd. ; Linguistic survey of India ; Voix parlée, homme

[Traditions. Asie. Inde. Chotā Nāgpur. État du Jharkhand]

Report of the Governmental Reorganization Commission to Governor William S. Beardsley for Submission to the Fifty-fourth General Assembly,1950

This report deals with the reorganization of the government of Iowa. The Fifty-third General Assembly established and authorized this commission to examine and recommend changes in all state agencies in order to accomplish the following purposes : a reduction of expenditures and the promotion of economies; an increase in efficiency of governmental operations; a coordination and consolidation of judicial districts; a reduction of agencies by a consolidation of those having similar functions; and an elimination of overlappoing and duplicating of efforts on the part of existing agencies.

Executive Order Number Seventeen, September 25, 2009

This Executive Order expects the State of Iowa executive agencies and Regent Institutions own, purchase, build and lease property, including office space, worth billions of dollars for educational, correctional, recreational, conservation, transportation, communication, public health, workforce and related public functions and the placement of state offices in historic central business districts "downtown" can strengthen and revitalize Iowa's cities and towns.

Burnout levels among Portuguese family doctors: a nationwide survey

AIM: To characterise the prevalence of burnout syndrome in a sample of family doctors (FDs) working in the Portuguese National Health System. DESIGN: Cross-sectional survey. SETTING: Primary healthcare centres from the 18 continental districts and two archipelagos of Portugal. METHOD: The Portuguese version of the Maslach Burnout Inventory-Human Services Survey was sent to 40 randomly selected healthcare centres and distributed to the FDs employed. Socio-demographic and work-related data were also collected. Participants were classified as having high, average or low levels of emotional exhaustion (EE), depersonalisation (DP) and personal accomplishment (PA) dimensions of burnout. RESULTS: 371 questionnaires were sent, of which 153 (83 women, age range 29-64 years; response rate 41%) returned. One-quarter (25.3%, 95% CI 18.6% to 33.1%) of FDs scored high for EE, 16.2% (10.7% to 23.2%) for DP and 16.7% (11.1% to 23.6%) for lack of PA. On multivariate analysis, being married, of older age, having many years of practice or working in a personalised healthcare unit tended to be associated with increased burnout components. Men tended to present higher EE and DP but lower lack of PA than women. Finally, the prevalence (95% CI) of burnout ranged between 4.1% (1.5% to 8.6%) and 32.4% (25.0% to 40.6%), depending on the definition used. CONCLUSIONS: High burnout is relatively common among Portuguese FDs. Burnout relief measures should be developed in order to prevent a further increase of burnout syndrome among Portuguese FDs.

Division of Soil Conservation Soil and Water Quality Review, 2009

Special Points of Interest: • The Division of Soil Conservation celebrated its 70th anniversary July 1, 2009. The Iowa Soil Conservation: Laws were enacted in 1939 creating the state soil conservation agency and governing committee and providing for the creation of Iowa’s 100 soil and water conservation districts. • The Mines & Minerals Bureau, through the federal Abandoned Mine Land (AML) Program, worked with various watershed groups to again secure an additional $1 million dollars in funding for the construction on projects in Marion, Mahaska and Monroe Counties. • Iowa hosted the Mississippi River/Gulf of Mexico Hypoxia Task Force tour and meeting in September 2009.

Education Task Force Report, August 2008

The Rebuild Iowa Education Task Force is composed of Iowans with experience and expertise related to the impact of the tornadoes, storms, and floods of 2008 on the educational system in Iowa. The massive damage greatly impacted educational facilities and enrollment, resulting in thousands of displaced students and significant long-term rebuilding needs. In addition, the education system is a “community center,” and in many ways acts as a first responder to Iowans experiencing the disasters. It is important to also recognize this role and the need for “non-educational” (and often non-quantifiable) supports as a part of the overall recovery effort. There are a few parts of the state that sustained significant structural and other damage as a result of the disasters. However, many school districts and educational institutions throughout the state experienced damage that resulted in re-allocating building usage, enrollment issues (because of housing and relocation issues in the community), or use of school facilities to assist in the recovery efforts (by housing displaced community agencies and providing temporary shelter for displaced Iowans). At this time, damage estimates are only estimates and numbers are revised often. Estimates of damage are being developed by multiple agencies, including FEMA, the Iowa Department of Education, insurance companies, and schools themselves, since there are many different types of damage to be assessed and repaired. In addition to structural damage, educational institutions and communities are trying to find ways to quantify sometimes unquantifiable data, such as future revenue capabilities, population declines, and impact on mental health in the long-term. The data provided in this report is preliminary and as up to date as possible; information is updated on a regular basis as assessments continue and damage estimates are finalized.

Supplemental Information to the August 2008 Education Task Force Report, August 2008

The Rebuild Iowa Education Task Force is composed of Iowans with experience and expertise related to the impact of the tornadoes, storms, and floods of 2008 on the educational system in Iowa. The massive damage greatly impacted educational facilities and enrollment, resulting in thousands of displaced students and significant long-term rebuilding needs. In addition, the education system is a “community center,” and in many ways acts as a first responder to Iowans experiencing the disasters. It is important to also recognize this role and the need for “non-educational” (and often non-quantifiable) supports as a part of the overall recovery effort. There are a few parts of the state that sustained significant structural and other damage as a result of the disasters. However, many school districts and educational institutions throughout the state experienced damage that resulted in re-allocating building usage, enrollment issues (because of housing and relocation issues in the community), or use of school facilities to assist in the recovery efforts (by housing displaced community agencies and providing temporary shelter for displaced Iowans). At this time, damage estimates are only estimates and numbers are revised often. Estimates of damage are being developed by multiple agencies, including FEMA, the Iowa Department of Education, insurance companies, and schools themselves, since there are many different types of damage to be assessed and repaired. In addition to structural damage, educational institutions and communities are trying to find ways to quantify sometimes unquantifiable data, such as future revenue capabilities, population declines, and impact on mental health in the long-term. The data provided in this report is preliminary and as up to date as possible; information is updated on a regular basis as assessments continue and damage estimates are finalized. Supplemental Information to the August 2008 Education Task Force Report

Analyse de la prescription de méthylphénidate dans le canton de Vaud en 2005 et comparaison 2002/2005

L'objectif de cette recherche est d'évaluer les prescriptions de méthylphénidate faites en 2005 aux enfants domiciliés dans le canton de Vaud et de commenter l'évolution depuis 2002. L'analyse comporte 3 volets. Un premier volet cherche à établir si les prescriptions semblent adaptées aux normes et aux recommandations émises quant à l'âge du patient et au traitement à suivre. Il porte sur les doses, la posologie, la durée de traitement et ses formes. Un deuxième volet s'intéresse aux tranches d'âge concernées par les traitements au méthylphénidate et observe s'il existe des variations selon le sexe des patients. Une répartition géographique des cas traités en comparant la répartition des prescripteurs et des patients traités a été faite à l'échelle des districts du canton. Le troisième volet s'intéresse aux médecins prescripteurs de méthylphénidate : est-ce que des différences existent selon la spécialisation médicale ? Est-ce que les médecins, qui, du fait de leur spécialisation (psychiatres ou pédiatres) sembleraient à première vue plus en mesure de décider de la nécessité d'un tel traitement pour un patient, sont plus nombreux à prescrire du méthylphénidate ? Pour chacun de ces volets, une analyse de l'évolution entre 2002 et 2005 des résultats a été faite. [Extrait, p. 4]

Community Policing in Switzerland's Major Urban Areas: An Observational Study of the Implementation and Impact Using Geospatial Data Mining

La présente étude est à la fois une évaluation du processus de la mise en oeuvre et des impacts de la police de proximité dans les cinq plus grandes zones urbaines de Suisse - Bâle, Berne, Genève, Lausanne et Zurich. La police de proximité (community policing) est à la fois une philosophie et une stratégie organisationnelle qui favorise un partenariat renouvelé entre la police et les communautés locales dans le but de résoudre les problèmes relatifs à la sécurité et à l'ordre public. L'évaluation de processus a analysé des données relatives aux réformes internes de la police qui ont été obtenues par l'intermédiaire d'entretiens semi-structurés avec des administrateurs clés des cinq départements de police, ainsi que dans des documents écrits de la police et d'autres sources publiques. L'évaluation des impacts, quant à elle, s'est basée sur des variables contextuelles telles que des statistiques policières et des données de recensement, ainsi que sur des indicateurs d'impacts construit à partir des données du Swiss Crime Survey (SCS) relatives au sentiment d'insécurité, à la perception du désordre public et à la satisfaction de la population à l'égard de la police. Le SCS est un sondage régulier qui a permis d'interroger des habitants des cinq grandes zones urbaines à plusieurs reprises depuis le milieu des années 1980. L'évaluation de processus a abouti à un « Calendrier des activités » visant à créer des données de panel permettant de mesurer les progrès réalisés dans la mise en oeuvre de la police de proximité à l'aide d'une grille d'évaluation à six dimensions à des intervalles de cinq ans entre 1990 et 2010. L'évaluation des impacts, effectuée ex post facto, a utilisé un concept de recherche non-expérimental (observational design) dans le but d'analyser les impacts de différents modèles de police de proximité dans des zones comparables à travers les cinq villes étudiées. Les quartiers urbains, délimités par zone de code postal, ont ainsi été regroupés par l'intermédiaire d'une typologie réalisée à l'aide d'algorithmes d'apprentissage automatique (machine learning). Des algorithmes supervisés et non supervisés ont été utilisés sur les données à haute dimensionnalité relatives à la criminalité, à la structure socio-économique et démographique et au cadre bâti dans le but de regrouper les quartiers urbains les plus similaires dans des clusters. D'abord, les cartes auto-organisatrices (self-organizing maps) ont été utilisées dans le but de réduire la variance intra-cluster des variables contextuelles et de maximiser simultanément la variance inter-cluster des réponses au sondage. Ensuite, l'algorithme des forêts d'arbres décisionnels (random forests) a permis à la fois d'évaluer la pertinence de la typologie de quartier élaborée et de sélectionner les variables contextuelles clés afin de construire un modèle parcimonieux faisant un minimum d'erreurs de classification. Enfin, pour l'analyse des impacts, la méthode des appariements des coefficients de propension (propensity score matching) a été utilisée pour équilibrer les échantillons prétest-posttest en termes d'âge, de sexe et de niveau d'éducation des répondants au sein de chaque type de quartier ainsi identifié dans chacune des villes, avant d'effectuer un test statistique de la différence observée dans les indicateurs d'impacts. De plus, tous les résultats statistiquement significatifs ont été soumis à une analyse de sensibilité (sensitivity analysis) afin d'évaluer leur robustesse face à un biais potentiel dû à des covariables non observées. L'étude relève qu'au cours des quinze dernières années, les cinq services de police ont entamé des réformes majeures de leur organisation ainsi que de leurs stratégies opérationnelles et qu'ils ont noué des partenariats stratégiques afin de mettre en oeuvre la police de proximité. La typologie de quartier développée a abouti à une réduction de la variance intra-cluster des variables contextuelles et permet d'expliquer une partie significative de la variance inter-cluster des indicateurs d'impacts avant la mise en oeuvre du traitement. Ceci semble suggérer que les méthodes de géocomputation aident à équilibrer les covariables observées et donc à réduire les menaces relatives à la validité interne d'un concept de recherche non-expérimental. Enfin, l'analyse des impacts a révélé que le sentiment d'insécurité a diminué de manière significative pendant la période 2000-2005 dans les quartiers se trouvant à l'intérieur et autour des centres-villes de Berne et de Zurich. Ces améliorations sont assez robustes face à des biais dus à des covariables inobservées et covarient dans le temps et l'espace avec la mise en oeuvre de la police de proximité. L'hypothèse alternative envisageant que les diminutions observées dans le sentiment d'insécurité soient, partiellement, un résultat des interventions policières de proximité semble donc être aussi plausible que l'hypothèse nulle considérant l'absence absolue d'effet. Ceci, même si le concept de recherche non-expérimental mis en oeuvre ne peut pas complètement exclure la sélection et la régression à la moyenne comme explications alternatives. The current research project is both a process and impact evaluation of community policing in Switzerland's five major urban areas - Basel, Bern, Geneva, Lausanne, and Zurich. Community policing is both a philosophy and an organizational strategy that promotes a renewed partnership between the police and the community to solve problems of crime and disorder. The process evaluation data on police internal reforms were obtained through semi-structured interviews with key administrators from the five police departments as well as from police internal documents and additional public sources. The impact evaluation uses official crime records and census statistics as contextual variables as well as Swiss Crime Survey (SCS) data on fear of crime, perceptions of disorder, and public attitudes towards the police as outcome measures. The SCS is a standing survey instrument that has polled residents of the five urban areas repeatedly since the mid-1980s. The process evaluation produced a "Calendar of Action" to create panel data to measure community policing implementation progress over six evaluative dimensions in intervals of five years between 1990 and 2010. The impact evaluation, carried out ex post facto, uses an observational design that analyzes the impact of the different community policing models between matched comparison areas across the five cities. Using ZIP code districts as proxies for urban neighborhoods, geospatial data mining algorithms serve to develop a neighborhood typology in order to match the comparison areas. To this end, both unsupervised and supervised algorithms are used to analyze high-dimensional data on crime, the socio-economic and demographic structure, and the built environment in order to classify urban neighborhoods into clusters of similar type. In a first step, self-organizing maps serve as tools to develop a clustering algorithm that reduces the within-cluster variance in the contextual variables and simultaneously maximizes the between-cluster variance in survey responses. The random forests algorithm then serves to assess the appropriateness of the resulting neighborhood typology and to select the key contextual variables in order to build a parsimonious model that makes a minimum of classification errors. Finally, for the impact analysis, propensity score matching methods are used to match the survey respondents of the pretest and posttest samples on age, gender, and their level of education for each neighborhood type identified within each city, before conducting a statistical test of the observed difference in the outcome measures. Moreover, all significant results were subjected to a sensitivity analysis to assess the robustness of these findings in the face of potential bias due to some unobserved covariates. The study finds that over the last fifteen years, all five police departments have undertaken major reforms of their internal organization and operating strategies and forged strategic partnerships in order to implement community policing. The resulting neighborhood typology reduced the within-cluster variance of the contextual variables and accounted for a significant share of the between-cluster variance in the outcome measures prior to treatment, suggesting that geocomputational methods help to balance the observed covariates and hence to reduce threats to the internal validity of an observational design. Finally, the impact analysis revealed that fear of crime dropped significantly over the 2000-2005 period in the neighborhoods in and around the urban centers of Bern and Zurich. These improvements are fairly robust in the face of bias due to some unobserved covariate and covary temporally and spatially with the implementation of community policing. The alternative hypothesis that the observed reductions in fear of crime were at least in part a result of community policing interventions thus appears at least as plausible as the null hypothesis of absolutely no effect, even if the observational design cannot completely rule out selection and regression to the mean as alternative explanations.

Division of Soil Conservation Soil and Water Quality Review, January 2010

Special Points of Interest: • The Division of Soil Conservation celebrated its 70th anniversary July 1, 2009. The Iowa Soil Conservation Laws were enacted in 1939 creating the state soil conservation agency and governing committee and providing for the creation of Iowa’s 100 soil and water conservation districts. • The Mines & Minerals Bureau, through the federal Abandoned Mine Land (AML) Program, worked with various watershed groups to again secure an additional $1 million dollars in funding for the construction on projects in Marion, Mahaska and Monroe Counties. • Iowa hosted the Mississippi River/Gulf of Mexico Hypoxia Task Force tour and meeting in September 2009.