Towards equivalent health care of prisoners: European soft law and public health policy in Geneva.

Prisoners have a right to health care and to be protected against inhumane and degrading treatment. Health care personnel and public policy makers play a central role in the protection of these rights and in the pursuit of public health goals. This article examines the legal framework for prison medicine in the canton of Geneva, Switzerland and provides examples of this framework that has shaped prisoners' medical care, including preventive measures. Geneva constitutes an intriguing example of how the Council of Europe standards concerning prison medicine have acquired a legal role in a Swiss canton. Learning how these factors have influenced implementation of prison medicine standards in Geneva may be helpful to public health managers elsewhere and encourage the use of similar strategies.

Hybrid consumption paths in the attribute space: A model and application with scanner data

This paper presents and estimates a dynamic choice model in the attribute space considering rational consumers. In light of the evidence of several state-dependence patterns, the standard attribute-based model is extended by considering a general utility function where pure inertia and pure variety-seeking behaviors can be explained in the model as particular linear cases. The dynamics of the model are fully characterized by standard dynamic programming techniques. The model presents a stationary consumption pattern that can be inertial, where the consumer only buys one product, or a variety-seeking one, where the consumer shifts among varied products.We run some simulations to analyze the consumption paths out of the steady state. Underthe hybrid utility assumption, the consumer behaves inertially among the unfamiliar brandsfor several periods, eventually switching to a variety-seeking behavior when the stationary levels are approached. An empirical analysis is run using scanner databases for three different product categories: fabric softener, saltine cracker, and catsup. Non-linear specifications provide the best fit of the data, as hybrid functional forms are found in all the product categories for most attributes and segments. These results reveal the statistical superiority of the non-linear structure and confirm the gradual trend to seek variety as the level of familiarity with the purchased items increases.

Location models in the public sector

The past four decades have witnessed an explosive growth in the field of networkbased facilitylocation modeling. This is not at all surprising since location policy is one of the mostprofitable areas of applied systems analysis in regional science and ample theoretical andapplied challenges are offered. Location-allocation models seek the location of facilitiesand/or services (e.g., schools, hospitals, and warehouses) so as to optimize one or severalobjectives generally related to the efficiency of the system or to the allocation of resources.This paper concerns the location of facilities or services in discrete space or networks, thatare related to the public sector, such as emergency services (ambulances, fire stations, andpolice units), school systems and postal facilities. The paper is structured as follows: first,we will focus on public facility location models that use some type of coverage criterion,with special emphasis in emergency services. The second section will examine models based onthe P-Median problem and some of the issues faced by planners when implementing thisformulation in real world locational decisions. Finally, the last section will examine newtrends in public sector facility location modeling.

Workshop: Capacity building for national public health advocacy: case studies from national associations

The first statement of the EUPHA on the Future of Public Health in Europe refers to the need for going 'to policymakers, politicians and practitioners in all sectors of society and advise them on how to promote public health throughout society'. WHO-EURO Director General Marc Danzon, quoted in the second EUPHA statement on the responsibility of policy makers indicates that 'learning is not systematically applied in health policy development in our continent'. Statement 3 calls for the integration of public health into the political agenda in all sectors. The first EUPHA president, Louise Gunning-Schepers, quoted in Statement 10 called on EUPHA to become 'a powerful advocate of the public health community'. In addition to the above, the EU is now actively seeking ways to build capacity to implement its health strategy. Learning and building the capacity to achieve our aims The aims and objectives to promote the public's health as reflected in EUPHA's 10 statements are also mirrored in the national public health associations. However, many of EUPHA's national associations have little or limited experience in promoting public health policy at the national level. To assist in the learning of advocacy for public health policies, case studies presenting experiences of national public health organizations in lobbying for national public health policy will be presented and discussed. In addition to sharing experiences, the presentations will identify successful approaches to public health advocacy as well as lessons learned from unsuccessful attempts.

Statistical learning theory for geospatial data. Case study: Aral sea

In recent years there has been an explosive growth in the development of adaptive and data driven methods. One of the efficient and data-driven approaches is based on statistical learning theory (Vapnik 1998). The theory is based on Structural Risk Minimisation (SRM) principle and has a solid statistical background. When applying SRM we are trying not only to reduce training error ? to fit the available data with a model, but also to reduce the complexity of the model and to reduce generalisation error. Many nonlinear learning procedures recently developed in neural networks and statistics can be understood and interpreted in terms of the structural risk minimisation inductive principle. A recent methodology based on SRM is called Support Vector Machines (SVM). At present SLT is still under intensive development and SVM find new areas of application (www.kernel-machines.org). SVM develop robust and non linear data models with excellent generalisation abilities that is very important both for monitoring and forecasting. SVM are extremely good when input space is high dimensional and training data set i not big enough to develop corresponding nonlinear model. Moreover, SVM use only support vectors to derive decision boundaries. It opens a way to sampling optimization, estimation of noise in data, quantification of data redundancy etc. Presentation of SVM for spatially distributed data is given in (Kanevski and Maignan 2004).

Learning-induced plasticity in auditory spatial representations revealed by electrical neuroimaging.

Auditory spatial representations are likely encoded at a population level within human auditory cortices. We investigated learning-induced plasticity of spatial discrimination in healthy subjects using auditory-evoked potentials (AEPs) and electrical neuroimaging analyses. Stimuli were 100 ms white-noise bursts lateralized with varying interaural time differences. In three experiments, plasticity was induced with 40 min of discrimination training. During training, accuracy significantly improved from near-chance levels to approximately 75%. Before and after training, AEPs were recorded to stimuli presented passively with a more medial sound lateralization outnumbering a more lateral one (7:1). In experiment 1, the same lateralizations were used for training and AEP sessions. Significant AEP modulations to the different lateralizations were evident only after training, indicative of a learning-induced mismatch negativity (MMN). More precisely, this MMN at 195-250 ms after stimulus onset followed from differences in the AEP topography to each stimulus position, indicative of changes in the underlying brain network. In experiment 2, mirror-symmetric locations were used for training and AEP sessions; no training-related AEP modulations or MMN were observed. In experiment 3, the discrimination of trained plus equidistant untrained separations was tested psychophysically before and 0, 6, 24, and 48 h after training. Learning-induced plasticity lasted <6 h, did not generalize to untrained lateralizations, and was not the simple result of strengthening the representation of the trained lateralizations. Thus, learning-induced plasticity of auditory spatial discrimination relies on spatial comparisons, rather than a spatial anchor or a general comparator. Furthermore, cortical auditory representations of space are dynamic and subject to rapid reorganization.

Penser la médecine communautaire s'apprend avec les pairs. [The spirit of community medicine: students learning from students].

At the University of Lausanne third-year medical students are given the task of spending a month investigating a question of community medicine. In 2009, four students evaluated the legitimacy of health insurers intervening in the management of depression. They found that health insurers put pressure on public authorities during the development of legislation governing the health system and reimbursement for treatment. This fact emerged during the scientific investigation led jointly by the team in the course of the "module of immersion in community medicine." This paper presents each step of their study. The example chosen illustrates the learning objectives covered by the module.

Cuatro casos, cuatro historias de uso educativo de las TIC

[spa] Este informe presenta parte de los procesos y los resultados del proyecto de I+D+I: Políticas y prácticas en torno a las TIC en la enseñanza obligatoria: Implicaciones para la innovación y la mejora, parcialmente financiado por Ministerio de Ciencia e Innovación. SEJ2007-67562. Recoge los cuatro estudios de caso llevados a cabo en dos Institutos de Enseñanza Secundaria Obligatoria y dos centros de educación primaria de Cataluña, que nos han posibilitado elucidar el impacto de las políticas de uso de las TIC y de otras iniciativas políticas para favorecer la innovación y la mejora en cada centro, prestando especial atención a: (a) los temas organizativos relacionados con el tiempo y el espacio; (b) el desarrollo del currículum en el centro (visiones sobre el conocimiento, el aprendizaje, el papel del alumnado y el profesorado, el lugar de las TIC, etc.); (c) las condiciones de trabajo del profesorado (acceso a formación, espacios y prácticas de colaboración; desarrollo profesional); (d) los resultados del aprendizaje (valor intelectual, social y personal de lo aprendido; capacidad de transferencia para seguir aprendiendo

Machine learning analysis and modeling of interest rate curves

The present research deals with the review of the analysis and modeling of Swiss franc interest rate curves (IRC) by using unsupervised (SOM, Gaussian Mixtures) and supervised machine (MLP) learning algorithms. IRC are considered as objects embedded into different feature spaces: maturities; maturity-date, parameters of Nelson-Siegel model (NSM). Analysis of NSM parameters and their temporal and clustering structures helps to understand the relevance of model and its potential use for the forecasting. Mapping of IRC in a maturity-date feature space is presented and analyzed for the visualization and forecasting purposes.

Spatial relational learning and memory abilities do not differ between men and women in a real-world, open-field environment

This study assesses gender differences in spatial and non-spatial relational learning and memory in adult humans behaving freely in a real-world, open-field environment. In Experiment 1, we tested the use of proximal landmarks as conditional cues allowing subjects to predict the location of rewards hidden in one of two sets of three distinct locations. Subjects were tested in two different conditions: (1) when local visual cues marked the potentially-rewarded locations, and (2) when no local visual cues marked the potentially-rewarded locations. We found that only 17 of 20 adults (8 males, 9 females) used the proximal landmarks to predict the locations of the rewards. Although females exhibited higher exploratory behavior at the beginning of testing, males and females discriminated the potentially-rewarded locations similarly when local visual cues were present. Interestingly, when the spatial and local information conflicted in predicting the reward locations, males considered both spatial and local information, whereas females ignored the spatial information. However, in the absence of local visual cues females discriminated the potentially-rewarded locations as well as males. In Experiment 2, subjects (9 males, 9 females) were tested with three asymmetrically-arranged rewarded locations, which were marked by local cues on alternate trials. Again, females discriminated the rewarded locations as well as males in the presence or absence of local cues. In sum, although particular aspects of task performance might differ between genders, we found no evidence that women have poorer allocentric spatial relational learning and memory abilities than men in a real-world, open-field environment.

Cuatro casos, cuatro historias de uso educativo de las TIC

[spa] Este informe presenta parte de los procesos y los resultados del proyecto de I+D+I: Políticas y prácticas en torno a las TIC en la enseñanza obligatoria: Implicaciones para la innovación y la mejora, parcialmente financiado por Ministerio de Ciencia e Innovación. SEJ2007-67562. Recoge los cuatro estudios de caso llevados a cabo en dos Institutos de Enseñanza Secundaria Obligatoria y dos centros de educación primaria de Cataluña, que nos han posibilitado elucidar el impacto de las políticas de uso de las TIC y de otras iniciativas políticas para favorecer la innovación y la mejora en cada centro, prestando especial atención a: (a) los temas organizativos relacionados con el tiempo y el espacio; (b) el desarrollo del currículum en el centro (visiones sobre el conocimiento, el aprendizaje, el papel del alumnado y el profesorado, el lugar de las TIC, etc.); (c) las condiciones de trabajo del profesorado (acceso a formación, espacios y prácticas de colaboración; desarrollo profesional); (d) los resultados del aprendizaje (valor intelectual, social y personal de lo aprendido; capacidad de transferencia para seguir aprendiendo

Public Art. Timeline of the XXth Century Evolution

The concept of public art is a polysemic term, and the dispersion of its meaning is reflected in the different ways of working during the XXth Century. It cross the fields of sculpture, monument, visual arts and urban space, defined from a civic perspective. This timeline had been constructed after the publications of my PhD: http://www.tesisenred.net/handle/10803/1549

Urban Regeneration. A challenge for Public Art [1999]. Edition 2005

Urban Regeneration. A challenge for Public Art, supposed the start of a trend of critical thought related to the topics of Public Art, Urban Regeneration and Urban Design. This trend agglutinated around the Public Art Observatory that, still today, develops its activities.The book gathers a series of critical proposals organized in the chapters " Art and Design in/for Public Space ", " Forms and Representations of Public Art/Public Space. The Producer/User Dilemma " and " Public Art / Cities in Competition: Strategies, Bridges and Gateways ", with the participation of, among others, Sergi Valera, Ray Smith, Martí Peran, Ian Rawlinson, Chaké Matosian, Enric Pol, J. Hyatt, J. Gingell or T. Bovaird.

Space Competition and Time Delays in Human Range Expansions. Application to the Neolithic Transition

Space competition effects are well-known in many microbiological and ecological systems. Here we analyze such an effectin human populations. The Neolithic transition (change from foraging to farming) was mainly the outcome of a demographic process that spread gradually throughout Europe from the Near East. In Northern Europe, archaeological data show a slowdown on the Neolithic rate of spread that can be related to a high indigenous (Mesolithic) population density hindering the advance as a result of the space competition between the two populations. We measure this slowdown from a database of 902 Early Neolithic sites and develop a time-delayed reaction-diffusion model with space competition between Neolithic and Mesolithic populations, to predict the observed speeds. The comparison of the predicted speed with the observations and with a previous non-delayed model show that both effects, the time delay effect due to the generation lag and the space competition between populations, are crucial in order to understand the observations