944 resultados para Local information


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Selecció comentada de fonts d'informació sobre historia local de Catalunya: col-leccions, bibliografies, actes de congressos, biblioteques, i altres entitats i publicacions de tipología diversa.

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The influence of proximal olfactory cues on place learning and memory was tested in two different spatial tasks. Rats were trained to find a hole leading to their home cage or a single food source in an array of petri dishes. The two apparatuses differed both by the type of reinforcement (return to the home cage or food reward) and the local characteristics of the goal (masked holes or salient dishes). In both cases, the goal was in a fixed location relative to distant visual landmarks and could be marked by a local olfactory cue. Thus, the position of the goal was defined by two sets of redundant cues, each of which was sufficient to allow the discrimination of the goal location. These experiments were conducted with two strains of hooded rats (Long-Evans and PVG), which show different speeds of acquisition in place learning tasks. They revealed that the presence of an olfactory cue marking the goal facilitated learning of its location and that the facilitation persisted after the removal of the cue. Thus, the proximal olfactory cue appeared to potentiate learning and memory of the goal location relative to distant environmental cues. This facilitating effect was only detected when the expression of spatial memory was not already optimal, i.e., during the early phase of acquisition. It was not limited to a particular strain.

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The Rebuild Iowa Cultural Heritage and Records Retention Task Force respectfully submits its report to the Rebuild Iowa Advisory Commission (RIAC) for its consideration of the impacts of the tornadoes, storms, and flooding on Iowans and their cultural, historical, and arts institutions and organizations and records collections and archives. As the RIAC fulfills its obligations to guide the recovery and reconstruction of Iowa, the cknowledgement that culture and records as Iowa’s identity is important, and that if these items of cultural heritage vanish from Iowa’s landscape, the items that Iowans associate with their history, traditions, and sense of place also disappears. Iowa is certainly not the only state that has experienced this type of disaster; however, many states have not recognized culture and records as critical concerns as part of the recovery and rebuilding process. When rebuilding Iowa stronger, smarter, and safer, quality of life is an important consideration for attracting new residents, making it a necessity to keep culture alive and thriving in Iowa. Additionally, the cultural arts constitute a vital economic industry, providing employment to thousands of Iowa’s citizens and generating millions of dollars in local and government revenue across the state. In the case of records, these items are irreplaceable and provide important information for the daily workings of government and life in our state, and maintain vital records of Iowa’s heritage and traditions. This report provides background information on the damages incurred in Iowa from the disasters and additional context for policy and rebuilding discussions. It also offers recommendations to the RIAC for steps that might be taken to address the significant and important challenges faced by Iowa’s cultural, historical, and arts institutions and organizations; individual artists and other cultural workers; and records retention entities and officials. Supplement to main report.

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Eighty-five of 99 Iowa counties were declared Presidential Disaster Areas for Public Assistance and/orIndividual Assistance as a result of the tornadoes, storms, and floods over the incident period May 25 through August 13, 2008. Response dominated the state’s attention for weeks, with a transition to recovery as the local situations warranted. The widespread damage and severity of the impact on Iowans and their communities required a statewide effort to continue moving forward despite being surrounded by adversity. By all accounts, it will require years for the state to recover from these disasters. With an eye toward the future, recovery is underway across Iowa. As part of the Rebuild Iowa efforts, the Long Term Recovery Planning Task Force was charged with responsibilities somewhat different from other topical Task Force assignments. Rather than assess damage and report on how the state might address immediate needs, the Long Term Recovery Planning Task Force is directed to discuss and discern the best approach to the lengthy recovery process. Certainly, the Governor and Lieutenant Governor expect the task to be difficult; when planning around so many critical issues and overwhelming needs, it is challenging to think to the future, rather than to rise to the current day’s needs.

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Objective: Antibiotic stewardship includes development of practice guidelines incorporating local microbiology and resistance patterns. In case of septic arthritis (SA), addition of vancomycin to the empiric therapy and broad-spectrum antibiotherapy in some clinical settings are subjects of discussion. Our objective was to review the local epidemiology of native septic arthritis in adults, in order to establish local guidelines for empiric therapy. Methods: Retrospective study based on positive synovial fluid cultures and hospital discharge diagnoses of SA obtained from 1999 to 2008 in patients _16 years. Medical records were reviewed to assess the diagnosis and complete relevant clinical information. Results: During this ten-year period, we identified 233 SA on native joints in 231 patients. 107 episodes (46%) were obtained through positive synovial fluid cultures, and 126 episodes (54%) through the discharge diagnosis. 147 SA (63%) were large joint infections (LJI). 35 SA (15%) occurred in intravenous drug users. Preexisting arthropathy was present in 51% of cases. 42% of patients with small joint infection (SJI) were diabetic, vs. 23% with LJI (p = 0.003). When available, synovial fluid direct examination was positive in 35% of cases. Etiologic agents are reported in the table. Five of the 11 MRSA SA (45%) occurred in known carriers. SJI were more frequently polymicrobial (24% vs. 1%, p<0.001). For LJI, an empiric treatment with amoxicillin/clavulanate (A/C) would have been appropriate in 85% of cases. MRSA (8 cases) and tuberculous (7 cases) arthritis would have been the most frequently untreated pathogens. Addition of vancomycin to A/C in MRSA carriers would rise the adequacy to 87%. In contrast, A/C would cover only 75% of SJI (82% if restricted to non-diabetic patients). MRSA (3 cases) and P. aeruginosa (9 cases, 7 monomicrobial) would be the main untreated pathogens. An anti-pseudomonal penicillin would have been appropriate in 94% of cases of SJI (P = 0.002 vs. A/C, p = 0.19 if diabetic patients not included). Conclusions: Treatment with A/C seems adequate for empiric coverage of LJI in our setting. Broad-spectrum antibiotherapy was significantly superior for SJI in diabetic patients, due to different causative bacteria. In an area of low MRSA incidence, our results do not justify a systematic empiric therapy for MRSA, which should be considered in a known carrier.

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En la última década, distintos estudios han intentado contrastar empíricamente la existencia de una relación entre el stock de capital humanolocal y la productividad del territorio, así como la posible presencia de economías externas asociadas a aquél. El resultado común de dichos estudios ha consistido en encontrar una correlación positiva entre ambas variables Losdiversos autores no coinciden, en cambio, a la hora de explicar dicho resultado: un primer grupo de autores argumenta la presencia de economíasexternas vinculadas al capital humano mientras que un segundo grupo plantea la existencia de relaciones de complementariedad entre los diversos factores productivos y, más en concreto, entre el capital humano y el capital físico.El objetivo de este trabajo es analizar la existencia de una posible relación positiva entre el nivel de capital humano de las provincias españolas y su productividad de éstas y, a continuación, averiguar si el canal a través delcual se produce el efecto son las economías externas. Para ello, se aplica unametodología que consta de dos etapas. En la primera, se estima una ecuación de Mincer utilizando información de la Encuesta de Presupuestos Familiares a fin de obtener una estimación de la productividad media de cada una de las provincias españolas una vez controlado el efecto del capital humano de los individuos sobre su propia productividad. En una segunda etapa, la estimación de la productividad provincial media estimada se introduce como variable endógena en una nueva ecuación cuyas variables explicativas intentan aproximar el nivel de capital humano de cada una de las provincias. A partir de esta segunda regresión se detecta una relación positiva entre la productividad media estimada del territorio y el nivel educativo medio delmismo. Sin embargo, la principal conclusión del análisis realizado es que dicha relación no puede explicarse por el impacto de las economías externas generadas exógenamente por el capital humano, sino que debe atribuirse a otros efectos que, actuando también por lado de la demanda, impulsen al alza la productividad.

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En la última década, distintos estudios han intentado contrastar empíricamente la existencia de una relación entre el stock de capital humanolocal y la productividad del territorio, así como la posible presencia de economías externas asociadas a aquél. El resultado común de dichos estudios ha consistido en encontrar una correlación positiva entre ambas variables Losdiversos autores no coinciden, en cambio, a la hora de explicar dicho resultado: un primer grupo de autores argumenta la presencia de economíasexternas vinculadas al capital humano mientras que un segundo grupo plantea la existencia de relaciones de complementariedad entre los diversos factores productivos y, más en concreto, entre el capital humano y el capital físico.El objetivo de este trabajo es analizar la existencia de una posible relación positiva entre el nivel de capital humano de las provincias españolas y su productividad de éstas y, a continuación, averiguar si el canal a través delcual se produce el efecto son las economías externas. Para ello, se aplica unametodología que consta de dos etapas. En la primera, se estima una ecuación de Mincer utilizando información de la Encuesta de Presupuestos Familiares a fin de obtener una estimación de la productividad media de cada una de las provincias españolas una vez controlado el efecto del capital humano de los individuos sobre su propia productividad. En una segunda etapa, la estimación de la productividad provincial media estimada se introduce como variable endógena en una nueva ecuación cuyas variables explicativas intentan aproximar el nivel de capital humano de cada una de las provincias. A partir de esta segunda regresión se detecta una relación positiva entre la productividad media estimada del territorio y el nivel educativo medio delmismo. Sin embargo, la principal conclusión del análisis realizado es que dicha relación no puede explicarse por el impacto de las economías externas generadas exógenamente por el capital humano, sino que debe atribuirse a otros efectos que, actuando también por lado de la demanda, impulsen al alza la productividad.

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In groundwater applications, Monte Carlo methods are employed to model the uncertainty on geological parameters. However, their brute-force application becomes computationally prohibitive for highly detailed geological descriptions, complex physical processes, and a large number of realizations. The Distance Kernel Method (DKM) overcomes this issue by clustering the realizations in a multidimensional space based on the flow responses obtained by means of an approximate (computationally cheaper) model; then, the uncertainty is estimated from the exact responses that are computed only for one representative realization per cluster (the medoid). Usually, DKM is employed to decrease the size of the sample of realizations that are considered to estimate the uncertainty. We propose to use the information from the approximate responses for uncertainty quantification. The subset of exact solutions provided by DKM is then employed to construct an error model and correct the potential bias of the approximate model. Two error models are devised that both employ the difference between approximate and exact medoid solutions, but differ in the way medoid errors are interpolated to correct the whole set of realizations. The Local Error Model rests upon the clustering defined by DKM and can be seen as a natural way to account for intra-cluster variability; the Global Error Model employs a linear interpolation of all medoid errors regardless of the cluster to which the single realization belongs. These error models are evaluated for an idealized pollution problem in which the uncertainty of the breakthrough curve needs to be estimated. For this numerical test case, we demonstrate that the error models improve the uncertainty quantification provided by the DKM algorithm and are effective in correcting the bias of the estimate computed solely from the MsFV results. The framework presented here is not specific to the methods considered and can be applied to other combinations of approximate models and techniques to select a subset of realizations

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A benefit-cost analysis was used to examine the effects of alternative investment strategies on the local rural road system. The study first estimated the change in costs to the traveling public of various investment strategies, then compared the change for each investment strategy to the cost of implementing that strategy on the county rural road system. The basic purpose of this study was to develop guidelines for local supervisors and engineers in evaluating investment or disinvestment proposals, and to provide information to state legislatures in developing local rural road and bridge policies. Three case study areas of 100 sq mi each were selected in Iowa. A questionnaire was used to collect data from farm and non-farm residents in the study areas. Data were obtained on the number of 1982 trips by origin, destination, and type of vehicle.

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The purpose of the Introduction to Homeland Security and Emergency Management for Local Officials is to provide you with information regarding this system. Inside, you will learn about local and state emergency management and homeland security; the phases of homeland security and emergency management; hazards that affect the state; comprehensive planning requirements; emergency declarations; available state and federal assistance; and other important topics that will help you become more versed in homeland security and emergency management in Iowa.

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The local board of health is described in law in Iowa Code Chapter 137. It is described in rule in Iowa Administrative Code chapter 641.77. Law and rule define the structure, powers, and duties of the local board of health. The following information is a summation of the two. LOCAL BOARD OF HEALTH JURISDICTION AND APPOINTMENT: There are three types of local boards of health. 1. City (has to have been in existence before July 1, 2010) 2. County 3. District • City boards of health have jurisdiction over public health matters within the city. City board members are appointed by the city council. • County boards of health have jurisdiction over public health matters within the county. County board members are appointed by the county board of supervisors. • District boards of health have jurisdiction over public health matters within the district. District board of health members are appointed by the county boards of supervisors from the counties represented by the district.

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1. The formation of groups is a fundamental aspect of social organization, but there are still many questions regarding how social structure emerges from individuals making non-random associations. 2. Although food distribution and individual phenotypic traits are known to separately influence social organization, this is the first study, to our knowledge, experimentally linking them to demonstrate the importance of their interaction in the emergence of social structure. 3. Using an experimental design in which food distribution was either clumped or dispersed, in combination with individuals that varied in exploratory behaviour, our results show that social structure can be induced in the otherwise non-social European shore crab (Carcinus maenas). 4. Regardless of food distribution, individuals with relatively high exploratory behaviour played an important role in connecting otherwise poorly connected individuals. In comparison, low exploratory individuals aggregated into cohesive, stable subgroups (moving together even when not foraging), but only in tanks where resources were clumped. No such non-foraging subgroups formed in environments where food was evenly dispersed. 5. Body size did not accurately explain an individual's role within the network for either type of food distribution. 6. Because of their synchronized movements and potential to gain social information, groups of low exploratory crabs were more effective than singletons at finding food. 7. Because social structure affects selection, and social structure is shown to be sensitive to the interaction between ecological and behavioural differences among individuals, local selective pressures are likely to reflect this interaction.

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Many good maintenance practices are done routinely to ensure safe travel on low-volume local roads. In addition, there are many specific treatments that may go beyond the point of routine maintenance and in fact provide additional safety benefits with a relatively low price tag. The purpose of this publication is to try to assemble many of these treatments that are currently practiced in Iowa by local agencies into one, easy-to-reference handbook that not only provides some clarity to each treatment with photos and narrative, but also features references to agencies currently using that technique. Some strategies that are utilized by Iowa, other states, and are topics of research have also been included to allow the user more information about possible options. Even though some areas overlap, the strategies presented have been grouped together in the following areas: Signing and Delineation, Traffic "Calming," Pavement Marking and Rumble Strips/Stripes, Roadside and Clear Zone, Guardrail and Barriers, Lighting, Pavements and Shoulders, Intersections, Railroad Crossings, Bridges and Culverts, and Miscellaneous. The intention is to make this a “living” document, which will continue to be updated and expanded periodically as other existing practices are recognized or new practices come into being.

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Although many larger Iowa cities have staff traffic engineers who have a dedicated interest in safety, smaller jurisdictions do not. Rural agencies and small communities must rely on consultants, if available, or local staff to identify locations with a high number of crashes and to devise mitigating measures. However, smaller agencies in Iowa have other available options to receive assistance in obtaining and interpreting crash data. These options are addressed in this manual. Many proposed road improvements or alternatives can be evaluated using methods that do not require in-depth engineering analysis. The Iowa Department of Transportation (DOT) supported developing this manual to provide a tool that assists communities and rural agencies in identifying and analyzing local roadway-related traffic safety concerns. In the past, a limited number of traffic safety professionals had access to adequate tools and training to evaluate potential safety problems quickly and efficiently and select possible solutions. Present-day programs and information are much more conducive to the widespread dissemination of crash data, mapping, data comparison, and alternative selections and comparisons. Information is available and in formats that do not require specialized training to understand and use. This manual describes several methods for reviewing crash data at a given location, identifying possible contributing causes, selecting countermeasures, and conducting economic analyses for the proposed mitigation. The Federal Highway Administration (FHWA) has also developed other analysis tools, which are described in the manual. This manual can also serve as a reference for traffic engineers and other analysts.

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Simulated-annealing-based conditional simulations provide a flexible means of quantitatively integrating diverse types of subsurface data. Although such techniques are being increasingly used in hydrocarbon reservoir characterization studies, their potential in environmental, engineering and hydrological investigations is still largely unexploited. Here, we introduce a novel simulated annealing (SA) algorithm geared towards the integration of high-resolution geophysical and hydrological data which, compared to more conventional approaches, provides significant advancements in the way that large-scale structural information in the geophysical data is accounted for. Model perturbations in the annealing procedure are made by drawing from a probability distribution for the target parameter conditioned to the geophysical data. This is the only place where geophysical information is utilized in our algorithm, which is in marked contrast to other approaches where model perturbations are made through the swapping of values in the simulation grid and agreement with soft data is enforced through a correlation coefficient constraint. Another major feature of our algorithm is the way in which available geostatistical information is utilized. Instead of constraining realizations to match a parametric target covariance model over a wide range of spatial lags, we constrain the realizations only at smaller lags where the available geophysical data cannot provide enough information. Thus we allow the larger-scale subsurface features resolved by the geophysical data to have much more due control on the output realizations. Further, since the only component of the SA objective function required in our approach is a covariance constraint at small lags, our method has improved convergence and computational efficiency over more traditional methods. Here, we present the results of applying our algorithm to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the local-scale porosity structure. Our procedure is first tested on a synthetic data set, and then applied to data collected at the Boise Hydrogeophysical Research Site.