Coalition theories: empirical evidence for dutch municipalities

The paper analyzes coalition formation in Dutch municipalities. After discussing the main features of the institutional setting, several theories are discussed, which are classified as size oriented, policy oriented and actor oriented models. A test statistic is proposed to determine the predictive power of these models. The empirical analysis shows that strategic positions as well as some of the distinguished preferences are important in the setting of Dutch municipalities. Especially, the dominant minimum number principle yields highly significant results for coalition formations in the period 1978–1986

Estimating nonresponse bias and mode effects in a mixed mode survey

In mixed-mode surveys, it is difficult to separate sample selection differences from mode-effects that can occur when respondents respond in different interview settings. This paper provides a framework for separating mode-effects from selection effects by matching very similar respondents from different survey modes using propensity score matching. The answer patterns of the matched respondents are subsequently compared. We show that matching can explain differences in nonresponse and coverage in two Internet-samples. When we repeat this procedure for a telephone and Internet-sample however, differences persist between the samples after matching. This indicates the occurrence of mode-effects in telephone and Internet surveys. Mode-effects can be problematic; hence we conclude with a discussion of designs that can be used to explicitly study mode-effects

Minimum depth, mean depth or something in between?

Reliable information about the seafloor and river-bed bathymetry is of high interest for a large number of applications. A Multi-Beam echo sounder (MBES) system is able to produce high-resolution bathymetry data at relatively small cost. These measurements, providing a depth for each beam and every ping, are processed to obtain a more ordered structure, such as a grid. Most approaches for assigning a depth to the centre of a cell (in a grid) use the shallowest or the mean depth in each cell. However, while the grid derived from the mean depth might be too deep compared to the shallowest depth, using the shallowest depth approach can result in an artificially shallow grid, affected by outliers. This paper introduces a number of alternatives to the current methods by combining the mean depth with statistical properties derived from the point cloud of the MBES data. In addition, the possibility of assigning a depth based on the regression coefficients of each cell is considered. The methods introduced have been tested on data acquired in different survey areas. The resulting grids have been compared to their shallowest and mean counterparts to obtain a better understanding of their advantages and limitations.La información fidedigna sobre la batimetría del fondo marino y del fondo fluvial es de gran interés para un gran número de aplicaciones. Un sistema de ecosonda multihaz (MBES) puede producir datos de batimetría de alta resolución a un coste relativamente pequeño. Estas mediciones, que proporcionan una profundidad para cada haz y cada pulso, son procesadas para obtener una estructura más ordenada, como una retícula. La mayoría de los enfoques para atribuir una profundidad al centro de una celda (en una retícula) utilizan la profundidad menos profunda o la profundidad media en cada celda. Sin embargo, mientras que la retícula derivada de la profundidad media podría ser demasiado profunda comparada con la profundidad menor, el uso del enfoque de la profundidad menor puede resultar en una retícula artificialmente poco profunda, afectada por valores anómalos. Este artículo introduce un número de alternativas a los métodos actuales mediante la combinación de la profundidad media con propiedades estadísticas derivadas del punto de la nube de los datos MBES. Además, se considera la posibilidad de atribuir una profundidad basada en los coeficientes de regresión de cada celda. Los métodos introducidos han sido probados en datos adquiridos en diferentes áreas de levantamien-tos. Las retículas resultantes han sido comparadas a sus contrapartidas menos profundas y medias para lograr una mayor comprensión de sus ventajas y limitaciones.Des informations fiables sur la bathymétrie des fonds marins et des lits fluviaux présentent un grand intérêt pour de nombreuses applications. Les systèmes de sondeurs acoustiques multifaisceaux (SMF) sont à même de produire des données bathymétriques à haute résolution à un coût relativement faible. Ces mesurages, qui fournissent une profondeur pour chaque faisceau et pour chaque ping, sont traités afin d’obtenir une structure plus ordonnée, une grille par exemple. La plupart des approches permettant d’attribuer une profondeur au centre d’une cellule (dans une grille) utilisent la profondeur la plus petite ou la profondeur moyenne au sein de chaque cellule. Néanmoins, si la grille dérivée de la profondeur moyenne peut être trop profonde par comparaison à la profondeur minimale, l’utilisation de l’approche de la profondeur la plus petite peut aboutir à une grille artificielle-ment peu profonde, affectée par des valeurs anormales. Cet article présente plusieurs alternatives aux méthodes actuelles en combinant la profondeur moyenne avec des propriétés statistiques dérivées du nuage de points des données issues de SMF. En outre, la possibilité d’attribuer une profondeur basée sur les coefficients de régression de chaque cellule est envisagée. Les méthodes présentées ont été testées sur des données acquises dans différentes zones hydrographiées. Les grilles qui en ont résulté ont été comparées à leurs équivalents en eaux peu profondes et de profondeur moyenne afin de parvenir à une meilleure compréhension de leurs avantages et de leurs limites

Using knowledge: the dilemmas of 'bridging research and policy'

The 'knowledge agenda' has become a central part of development discourse. This paper addresses one aspect of this discourse - the use of policy research in the social sciences - and the dilemmas that have been encountered by both development agencies and researchers in communicating and making use of that research. Development agencies as well as NGOs have initiated work to evaluate and document the effectiveness of research partnerships, knowledge capacity building and (social) science policy impact. As a multilateral initiative, the Global Development Network (GDN), and especially its 'Bridging Research and Policy' project, provides a vehicle to address issues related to research impact. Twelve perspectives on improving research and policy linkages are outlined to reveal that how the problem is defined shapes policy responses. Taken together, these explanations provide a multifaceted picture of the research-policy nexus indicating that there are many possible routes to 'bridging' research and policy. These diverse perspectives will be categorised into three broad categories of explanation: (i) supply-side; (ii) demand-led; and (iii) policy currents. However, knowledge is part of the solution to many development problems but not of itself a panacea

Molecular Cloud Structure in the Magellanic Clouds: Effect of Metallicity

The chemical structure of neutral clouds in low metallicity environments is examined with particular emphasis on the H to H_2 and C+ to CO transitions. We observed near-IR H_2 lines and the CO J=1-0 line from 30 Doradus and N159/N160 in the Large Magellanic Cloud and from DEM S 16, DEM S 37, and LI-SMC 36 in the Small Magellanic Cloud. We find that the H_2 emission is UV-excited and that (weak) CO emission always exists (in our surveyed regions) toward positions where H_2 and [CII] emission have been detected. Using a PDR code and a radiative transfer code, we simulate the emission of line radiation from spherical clouds and from large planar clouds. Because the [CII] emission and H_2 emission arise on the surface of the cloud and the lines are optically thin, these lines are not affected by changes in the relative sizes of the neutral cloud and the CO bearing core, while the optically thick CO emission can be strongly affected. The sizes of clouds are estimated by measuring the deviation of CO emission strength from that predicted by a planar cloud model of a given size. The average cloud column density and therefore size increases as the metallicity decreases. Our result agrees with the photoionization regulated star formation theory by Mc Kee (1989).Comment: 45 Pages including 15 figures. To be published in the ApJ May 10, 1998 issue, Vol. 49

Rapid evolution of virulence and drug resistance in the emerging zoonotic pathogen Streptococcus suis

Background: Streptococcus suis is a zoonotic pathogen that infects pigs and can occasionally cause serious infections in humans. S. suis infections occur sporadically in human Europe and North America, but a recent major outbreak has been described in China with high levels of mortality. The mechanisms of S. suis pathogenesis in humans and pigs are poorly understood. Methodology/Principal Findings: The sequencing of whole genomes of S. suis isolates provides opportunities to investigate the genetic basis of infection. Here we describe whole genome sequences of three S. suis strains from the same lineage: one from European pigs, and two from human cases from China and Vietnam. Comparative genomic analysis was used to investigate the variability of these strains. S. suis is phylogenetically distinct from other Streptococcus species for which genome sequences are currently available. Accordingly, ,40% of the ,2 Mb genome is unique in comparison to other Streptococcus species. Finer genomic comparisons within the species showed a high level of sequence conservation; virtually all of the genome is common to the S. suis strains. The only exceptions are three ,90 kb regions, present in the two isolates from humans, composed of integrative conjugative elements and transposons. Carried in these regions are coding sequences associated with drug resistance. In addition, small-scale sequence variation has generated pseudogenes in putative virulence and colonization factors. Conclusions/Significance: The genomic inventories of genetically related S. suis strains, isolated from distinct hosts and diseases, exhibit high levels of conservation. However, the genomes provide evidence that horizontal gene transfer has contributed to the evolution of drug resistance

The association between green space and cause-specific mortality in urban New Zealand: an ecological analysis of green space utility

<b>Background:</b> There is mounting international evidence that exposure to green environments is associated with health benefits, including lower mortality rates. Consequently, it has been suggested that the uneven distribution of such environments may contribute to health inequalities. Possible causative mechanisms behind the green space and health relationship include the provision of physical activity opportunities, facilitation of social contact and the restorative effects of nature. In the New Zealand context we investigated whether there was a socioeconomic gradient in green space exposure and whether green space exposure was associated with cause-specific mortality (cardiovascular disease and lung cancer). We subsequently asked what is the mechanism(s) by which green space availability may influence mortality outcomes, by contrasting health associations for different types of green space. <b>Methods:</b> This was an observational study on a population of 1,546,405 living in 1009 small urban areas in New Zealand. A neighbourhood-level classification was developed to distinguish between usable (i.e., visitable) and non-usable green space (i.e., visible but not visitable) in the urban areas. Negative binomial regression models were fitted to examine the association between quartiles of area-level green space availability and risk of mortality from cardiovascular disease (n = 9,484; 1996 - 2005) and from lung cancer (n = 2,603; 1996 - 2005), after control for age, sex, socio-economic deprivation, smoking, air pollution and population density. <b>Results:</b> Deprived neighbourhoods were relatively disadvantaged in total green space availability (11% less total green space for a one standard deviation increase in NZDep2001 deprivation score, p < 0.001), but had marginally more usable green space (2% more for a one standard deviation increase in deprivation score, p = 0.002). No significant associations between usable or total green space and mortality were observed after adjustment for confounders. <b>Conclusion</b> Contrary to expectations we found no evidence that green space influenced cardiovascular disease mortality in New Zealand, suggesting that green space and health relationships may vary according to national, societal or environmental context. Hence we were unable to infer the mechanism in the relationship. Our inability to adjust for individual-level factors with a significant influence on cardiovascular disease and lung cancer mortality risk (e.g., diet and alcohol consumption) will have limited the ability of the analyses to detect green space effects, if present. Additionally, green space variation may have lesser relevance for health in New Zealand because green space is generally more abundant and there is less social and spatial variation in its availability than found in other contexts

The breadth of primary care: a systematic literature review of its core dimensions

Background: Even though there is general agreement that primary care is the linchpin of effective health care delivery, to date no efforts have been made to systematically review the scientific evidence supporting this supposition. The aim of this study was to examine the breadth of primary care by identifying its core dimensions and to assess the evidence for their interrelations and their relevance to outcomes at (primary) health system level. Methods: A systematic review of the primary care literature was carried out, restricted to English language journals reporting original research or systematic reviews. Studies published between 2003 and July 2008 were searched in MEDLINE, Embase, Cochrane Library, CINAHL, King's Fund Database, IDEAS Database, and EconLit. Results: Eighty-five studies were identified. This review was able to provide insight in the complexity of primary care as a multidimensional system, by identifying ten core dimensions that constitute a primary care system. The structure of a primary care system consists of three dimensions: 1. governance; 2. economic conditions; and 3. workforce development. The primary care process is determined by four dimensions: 4. access; 5. continuity of care; 6. coordination of care; and 7. comprehensiveness of care. The outcome of a primary care system includes three dimensions: 8. quality of care; 9. efficiency care; and 10. equity in health. There is a considerable evidence base showing that primary care contributes through its dimensions to overall health system performance and health. Conclusions: A primary care system can be defined and approached as a multidimensional system contributing to overall health system performance and health