Estudo da Acessibilidade Organizacional aos Serviços de Saúde Bucal de um Município de Pequeno Porte do Nordeste Brasileiro

Objective: This study aimed to evaluate the accessibility to oral health services in Santa Cruz (RN), focusing on the organizational aspect which is characterized by variables like delay in getting consultation, waiting lines, difficulty scheduling appointments, lack of material, among others. Material and Methods: For such purpose, questionnaires were addressed to 194 users’ houses based on census tract. Results: It has been found that 12.9% of the population has never gone to the dentist’s office, and that the service demand has not been affected by users’ individual and socioeconomic characteristics, except for gender. Data have revealed that 36.1% of users went to the dentist’s in less than a year. In addition, the youngest users are among those who seek the dentist’s office more frequently (p<0.05). 63.3% of the interviewees have reported they find some kind of difficulty when seek for dental care, and 43.2% of users have waited three weeks or more for assistance. It is also noteworthy that 7.4% of the interviewees have been finding difficulties in getting access to urgency care, and that long wait for the consultation is the most frequently cited matter. Conclusion: It could be verified that accessibility to oral health services in the municipality of Santa Cruz (RN) has been hampered by factors related to public policies organization, especially with regards to the work process.

Do ancoradouro à sala de espera: as obras de melhoramento do porto e a construção de uma Natal moderna (1893-1913)

Through the nineteenth century, it was constant in the discourse of the local norte-rio-grandenses (Natal city, Brazil) administrators, the appeal for subsidy to the central government for the works of the port of Natal upgrade. The port in the capital, the main route of the Rio Grande do Norte communication, because of the limitations attached to it, as the dunes surrounding the city spreading sand in the riverbed, and several reefs located along the coast, did not allow the entry in his berth larger ships. These difficulties brought major problems the province, who could not hold the flow of production coming from the inside, resulting in the north of Rio Grande political scene, questioning the centrality of Christmas position in the province. Only Republican scheme had been approved credit by the federal government for the improvement works of the port. The port became the Republican political discourse Potiguar one of the main promises to bring "progress" the Potiguar land, being placed as a central issue of which depend on the "future" of the state. The objective of this study is to analyse the emergence of a new port concept in speeches and interventions of the local ruling groups in the early twentieth century. We analyse the emergence of a modern notion of port, marked by the organizing effort, rationalization and regulation of port activities by the state, and the new relationship assumed by the harbour front to the city resulting from this new perception. The port has become for local leaders to groups of capital "waiting room", requiring change of the composition of urban space for integrating the port to the city. The Port of Natal became endowed with a pedagogical function, incorporating the urban fabric, codes, values and practices considered by local managers as modern and civilized. This new city space, considered a "waiting room", caused conflicts between the local ruling groups and influential figures in the Potiguar political field, which sought to encourage with the process of organizing the harbour front undesirable regarded figures in the city views as an impediment to the image of progress and modernity that the dominant groups intended to expose the port.

Fatores pré-abate que influenciam na qualidade da carne de frangos griller

The consumption of a product is directly linked to its quality, and are required to comply with quality standard regulations. In chicken "griller" which comes from industrial strains, selected for best growth performance, shot with up to 35 days old and weighing 1,400kg, they have not been reported in the literature a number of quality aspects This study aimed determine the muscle transformation time in the flesh in chickens "griller" incidence of meat defects, "PSE" (pale, soft and exdudative) and "DFD" (dark, firm and dry) and their correlation between different window times slaughter (total time between beginning of the fasting and the time of slaughter) and pH curve, four different times post mortem. The base data for the study was composed of information of 208 chickens, collected between August and September 2014, in a slaughterhouse slaughtering chickens in the middle region of Triangulo Mineiro and Alto Paranaíba. We used the Minitab 17.1.0 program for the development of descriptive statistical analysis and Pareto charts. The Pearson correlation was used to evaluate the linear relationship between two variables and Excel 2013, Microsoft Office®, to produce tables and graphs. The analysis consisted of 11 chickens cities and the distance to the poultry slaughterhouse ranged from 24.5 km to 123 km. It was observed that the pH curve decays gradually until time 5horas after slaughter, and its increase was 24, indicating the transformation of the muscle meat. The incidence of regular meat was 39.9%, "DFD" 30.3% and "PSE" 29.8%. For "DFD" meat, it was observed that factors: low ambient temperature, longer transportation and fast window and mileage at dirt road, contributed to its occurrence (p <0.05). For "PSE" meat, it was observed that lower body weight factors, longer transport favored frequency (p <0.05) of the meat defect. There was no significant correlation in variance analysis between distance, waiting time at rest shed and humidity related to meat defects (p> 0.05). This high incidence of defects meat may be due to pre-slaughter stress factors.

The automation of protein crystal presentation for x ray diffraction experiments using standing acoustic waves in a microfluidic chip environment

As the pressure continues to grow on Diamond and the world's synchrotrons for higher throughput of diffraction experiments, new and novel techniques are required for presenting micron dimension crystals to the X ray beam. Currently this task is both labour intensive and primarily a serial process. Diffraction measurements typically take milliseconds but sample preparation and presentation can reduce throughput down to 4 measurements an hour. With beamline waiting times as long as two years it is of key importance for researchers to capitalize on available beam time, generating as much data as possible. Other approaches detailed in the literature [1] [2] [3] are very much skewed towards automating, with robotics, the actions of a human protocols. The work detailed here is the development and discussion of a bottom up approach relying on SSAW self assembly, including material selection, microfluidic integration and tuning of the acoustic cavity to order the protein crystals.

The automation of protein crystal presentation for X ray diffraction experiments using standing acoustic waves in a microfluidic chip environment

As the pressure continues to grow on Diamond and the world's synchrotrons for higher throughput of diffraction experiments, new and novel techniques are required for presenting micron dimension crystals to the X ray beam. Currently this task is both labour intensive and primarily a serial process. Diffraction measurements typically take milliseconds but sample preparation and presentation can reduce throughput down to 4 measurements an hour. With beamline waiting times as long as two years it is of key importance for researchers to capitalize on available beam time, generating as much data as possible. Other approaches detailed in the literature [1] [2] [3] are very much skewed towards automating, with robotics, the actions of a human protocols. The work detailed here is the development and discussion of a bottom up approach relying on SSAW self assembly, including material selection, microfluidic integration and tuning of the acoustic cavity to order the protein crystals.

An analysis of the attitudes of dental patients attending general dental practice in Galway

Aim: To describe the patterns of dental attendance and attitudes towards tooth loss of general dental practice patients in Galway. Objectives: 1. To determine the pattern of adult dental attendance in general practices in Galway; and, 2. To examine the oral health attitudes of these patients. Method: Questionnaires were distributed to 311 consecutive adult patients in the waiting rooms of ten general dental practices in Galway, which were randomly selected from the telephone directory. Results: A total of 254 of the 311 questionnaires distributed were fully completed, returned and included in the results, giving a response rate of 81.7%. A total of 59% of dentate participants attended their dentist for annual or biannual examinations compared to 23% of edentate patients. Some 10.5% of medical card holders and 0.5% of non-medical card holders were edentulous. Conclusions: The data from the survey indicated that medical card holders in Galway were more likely to be edentulous than nonmedical card holders. Edentate patients were less likely to be regular dental attenders than dentate patients.

Bayesian Inference in Large-scale Problems

Many modern applications fall into the category of "large-scale" statistical problems, in which both the number of observations n and the number of features or parameters p may be large. Many existing methods focus on point estimation, despite the continued relevance of uncertainty quantification in the sciences, where the number of parameters to estimate often exceeds the sample size, despite huge increases in the value of n typically seen in many fields. Thus, the tendency in some areas of industry to dispense with traditional statistical analysis on the basis that "n=all" is of little relevance outside of certain narrow applications. The main result of the Big Data revolution in most fields has instead been to make computation much harder without reducing the importance of uncertainty quantification. Bayesian methods excel at uncertainty quantification, but often scale poorly relative to alternatives. This conflict between the statistical advantages of Bayesian procedures and their substantial computational disadvantages is perhaps the greatest challenge facing modern Bayesian statistics, and is the primary motivation for the work presented here.

Two general strategies for scaling Bayesian inference are considered. The first is the development of methods that lend themselves to faster computation, and the second is design and characterization of computational algorithms that scale better in n or p. In the first instance, the focus is on joint inference outside of the standard problem of multivariate continuous data that has been a major focus of previous theoretical work in this area. In the second area, we pursue strategies for improving the speed of Markov chain Monte Carlo algorithms, and characterizing their performance in large-scale settings. Throughout, the focus is on rigorous theoretical evaluation combined with empirical demonstrations of performance and concordance with the theory.

One topic we consider is modeling the joint distribution of multivariate categorical data, often summarized in a contingency table. Contingency table analysis routinely relies on log-linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a reduced rank tensor factorization of the probability mass function for multivariate categorical data, while log-linear models achieve dimensionality reduction through sparsity. Little is known about the relationship between these notions of dimensionality reduction in the two paradigms. In Chapter 2, we derive several results relating the support of a log-linear model to nonnegative ranks of the associated probability tensor. Motivated by these findings, we propose a new collapsed Tucker class of tensor decompositions, which bridge existing PARAFAC and Tucker decompositions, providing a more flexible framework for parsimoniously characterizing multivariate categorical data. Taking a Bayesian approach to inference, we illustrate empirical advantages of the new decompositions.

Latent class models for the joint distribution of multivariate categorical, such as the PARAFAC decomposition, data play an important role in the analysis of population structure. In this context, the number of latent classes is interpreted as the number of genetically distinct subpopulations of an organism, an important factor in the analysis of evolutionary processes and conservation status. Existing methods focus on point estimates of the number of subpopulations, and lack robust uncertainty quantification. Moreover, whether the number of latent classes in these models is even an identified parameter is an open question. In Chapter 3, we show that when the model is properly specified, the correct number of subpopulations can be recovered almost surely. We then propose an alternative method for estimating the number of latent subpopulations that provides good quantification of uncertainty, and provide a simple procedure for verifying that the proposed method is consistent for the number of subpopulations. The performance of the model in estimating the number of subpopulations and other common population structure inference problems is assessed in simulations and a real data application.

In contingency table analysis, sparse data is frequently encountered for even modest numbers of variables, resulting in non-existence of maximum likelihood estimates. A common solution is to obtain regularized estimates of the parameters of a log-linear model. Bayesian methods provide a coherent approach to regularization, but are often computationally intensive. Conjugate priors ease computational demands, but the conjugate Diaconis--Ylvisaker priors for the parameters of log-linear models do not give rise to closed form credible regions, complicating posterior inference. In Chapter 4 we derive the optimal Gaussian approximation to the posterior for log-linear models with Diaconis--Ylvisaker priors, and provide convergence rate and finite-sample bounds for the Kullback-Leibler divergence between the exact posterior and the optimal Gaussian approximation. We demonstrate empirically in simulations and a real data application that the approximation is highly accurate, even in relatively small samples. The proposed approximation provides a computationally scalable and principled approach to regularized estimation and approximate Bayesian inference for log-linear models.

Another challenging and somewhat non-standard joint modeling problem is inference on tail dependence in stochastic processes. In applications where extreme dependence is of interest, data are almost always time-indexed. Existing methods for inference and modeling in this setting often cluster extreme events or choose window sizes with the goal of preserving temporal information. In Chapter 5, we propose an alternative paradigm for inference on tail dependence in stochastic processes with arbitrary temporal dependence structure in the extremes, based on the idea that the information on strength of tail dependence and the temporal structure in this dependence are both encoded in waiting times between exceedances of high thresholds. We construct a class of time-indexed stochastic processes with tail dependence obtained by endowing the support points in de Haan's spectral representation of max-stable processes with velocities and lifetimes. We extend Smith's model to these max-stable velocity processes and obtain the distribution of waiting times between extreme events at multiple locations. Motivated by this result, a new definition of tail dependence is proposed that is a function of the distribution of waiting times between threshold exceedances, and an inferential framework is constructed for estimating the strength of extremal dependence and quantifying uncertainty in this paradigm. The method is applied to climatological, financial, and electrophysiology data.

The remainder of this thesis focuses on posterior computation by Markov chain Monte Carlo. The Markov Chain Monte Carlo method is the dominant paradigm for posterior computation in Bayesian analysis. It has long been common to control computation time by making approximations to the Markov transition kernel. Comparatively little attention has been paid to convergence and estimation error in these approximating Markov Chains. In Chapter 6, we propose a framework for assessing when to use approximations in MCMC algorithms, and how much error in the transition kernel should be tolerated to obtain optimal estimation performance with respect to a specified loss function and computational budget. The results require only ergodicity of the exact kernel and control of the kernel approximation accuracy. The theoretical framework is applied to approximations based on random subsets of data, low-rank approximations of Gaussian processes, and a novel approximating Markov chain for discrete mixture models.

Data augmentation Gibbs samplers are arguably the most popular class of algorithm for approximately sampling from the posterior distribution for the parameters of generalized linear models. The truncated Normal and Polya-Gamma data augmentation samplers are standard examples for probit and logit links, respectively. Motivated by an important problem in quantitative advertising, in Chapter 7 we consider the application of these algorithms to modeling rare events. We show that when the sample size is large but the observed number of successes is small, these data augmentation samplers mix very slowly, with a spectral gap that converges to zero at a rate at least proportional to the reciprocal of the square root of the sample size up to a log factor. In simulation studies, moderate sample sizes result in high autocorrelations and small effective sample sizes. Similar empirical results are observed for related data augmentation samplers for multinomial logit and probit models. When applied to a real quantitative advertising dataset, the data augmentation samplers mix very poorly. Conversely, Hamiltonian Monte Carlo and a type of independence chain Metropolis algorithm show good mixing on the same dataset.

Group problem-solving skills training for self-harm: randomised controlled trial

Background: Rates of self-harm are high and have recently increased. This trend and the repetitive nature of self-harm pose a significant challenge to mental health services. Aims: To determine the efficacy of a structured group problem-solving skills training (PST) programme as an intervention approach for self-harm in addition to treatment as usual (TAU) as offered by mental health services. Method: A total of 433 participants (aged 18-64 years) were randomly assigned to TAU plus PST or TAU alone. Assessments were carried out at baseline and at 6-week and 6-month follow-up and repeated hospital-treated self-harm was ascertained at 12-month follow-up. Results: The treatment groups did not differ in rates of repeated self-harm at 6-week, 6-month and 12-month follow-up. Both treatment groups showed significant improvements in psychological and social functioning at follow-up. Only one measure (needing and receiving practical help from those closest to them) showed a positive treatment effect at 6-week (P = 0.004) and 6-month (P = 0.01) follow-up. Repetition was not associated with waiting time in the PST group. Conclusions: This brief intervention for self-harm is no more effective than treatment as usual. Further work is required to establish whether a modified, more intensive programme delivered sooner after the index episode would be effective.

Mothers but not wives: The increasing lag between nonmarital births and marriage

This study analyzed trends in marital behavior for unwed mothers who gave birth between 1960 and 2004. With nationally representative data on 15,353 White and Black unmarried mothers, results indicated that mothers who gave birth after 1989 were waiting much longer to marry than were mothers giving birth before 1968. The most pronounced delays were found immediately after a birth. Over the study period, the cumulative proportion of women who married within three years of a birth decreased for Whites by 27% and for Blacks by 60%. Findings underscore the separation that has developed between first births and first marriages in the United States, and they highlight the older ages at which children are experiencing a transition to marriage. © National Council on Family Relations, 2011.

Irish dental practitioners perceived barriers to the care of patients with special healthcare needs and the effect of postgraduate training

Inequalities in oral healthcare service provision to people with special health needs have been reported in the Republic of Ireland. These include higher unmet dental treatment needs and longer waiting period to access routine dental treatment than the general population. Aim: The aims of this study were to determine the groups of patients with special needs which pose a challenge to manage in the dental surgery and to examine perceived barriers to the care of these patients. We aimed to determine whether postgraduate training in the management of these patients increases the practitioners’ frequency of treatment and their desire for further training in this area. Methods: A questionnaire was used to survey 326 randomly selected dentists from the Dental Council’s register of dentists. Questionnaire and information sheets explaining the purpose of the survey, confidentiality and anonymity of the responses were posted to the dentists. Results: The results showed that children with intellectual disability posed the biggest challenge for dentists to manage in the dental surgery. Behaviour management issues and the degree of disability were perceived by many dentists as factors that would have high effects on their willingness to treat patients with special needs. Dentists who have postgraduate training in the management of patients with special needs were significantly more willing to treat these patients and to seek additional training in the future. Conclusion: There are links between the training and the willingness of practitioners to undertake dental treatment or patients with special healthcare needs.

Fondements épistémologiques et préceptes esthétiques de la théorie de la traduction d’Haroldo de Campos : l’apport de Max Bense

Dix années après le décès d’Haroldo de Campos, il n’existe pas encore à ce jour d’études exhaustives sur la théorie de la traduction du poète, critique et traducteur littéraire brésilien. Dans la présente thèse, nous examinons de manière critique une affirmation d’Haroldo de Campos à l’effet qu’il aurait été influencé par le philosophe allemand Max Bense. Nous tentons de retracer dans les textes publiés d’Haroldo de Campos quand et comment ce dernier a été initié aux thèses du concepteur de l’esthétique de l’information. Pour parvenir à évaluer la nature et la valeur de cette influence nous avons passé en revue l’ensemble des textes, c’est-à-dire des monographies, des essais, des articles de journaux ou tout autre type de source de référence, afin de questionner la pertinence de l’affirmation d’Haroldo de Campos. Diverses hypothèses sont examinées, à partir de la visite de Décio Pignatari à Ulm, jusqu’à l’analyse d’une allocution d’Elisabeth Walther-Bense sur le rapport qui existait entre Haroldo de Campos et son feu mari, Max Bense. Au terme de notre investigation, nous devons constater que les textes théoriques d’Haroldo de Campos sont insuffisants en soi pour que l’on puisse expliquer comment s’est opérée et articulé le rapport entre ces deux ténors de la poésie concrète.

¿Esperando a los bárbaros? : la invención del (nos) otro (s) en la literatura de J. M. Coetzee

J. M. Coetzee es uno de los más importantes escritores sudafricanos. Ximena Picallo Visconti contextualiza al autor y sus obras en el marco de un cambio político cuyos basamentos fueron el postapartheid sudafricano y la desarticulación de un discurso dominante sedimentado durante mucho tiempo. En Sudáfrica, los procesos de identificación están plagados de intersticios y negociaciones (muchas veces dispares) en la búsqueda y construcción de significados (Picallo Visconti, 2007). La mirada de Coetzee nos impulsa como lectores a un proceso de deconstrucción y de cuestionamiento constante, superando las construcciones ancladas del eurocentrismo ejercidas por la práctica del colonialismo y por el sistema segregacionista del apartheid. Por ello, este trabajo indagará sobre la mirada del autor, intentando acercar algunas lógicas de su obra respecto de la invención de un "Otro". Se trabajará sobre la novela Esperando a los bárbaros, en la que otro y espacio se tensionan para poner al lector en una disyuntiva superadora, en la cual quizás nosotros (el imperio) seamos los que nos encontramos fuera del muro.

¿Esperando a los bárbaros? : la invención del (nos) otro (s) en la literatura de J. M. Coetzee

J. M. Coetzee es uno de los más importantes escritores sudafricanos. Ximena Picallo Visconti contextualiza al autor y sus obras en el marco de un cambio político cuyos basamentos fueron el postapartheid sudafricano y la desarticulación de un discurso dominante sedimentado durante mucho tiempo. En Sudáfrica, los procesos de identificación están plagados de intersticios y negociaciones (muchas veces dispares) en la búsqueda y construcción de significados (Picallo Visconti, 2007). La mirada de Coetzee nos impulsa como lectores a un proceso de deconstrucción y de cuestionamiento constante, superando las construcciones ancladas del eurocentrismo ejercidas por la práctica del colonialismo y por el sistema segregacionista del apartheid. Por ello, este trabajo indagará sobre la mirada del autor, intentando acercar algunas lógicas de su obra respecto de la invención de un "Otro". Se trabajará sobre la novela Esperando a los bárbaros, en la que otro y espacio se tensionan para poner al lector en una disyuntiva superadora, en la cual quizás nosotros (el imperio) seamos los que nos encontramos fuera del muro.

Graded Exercise Therapy Guided Self-Help Trial for Patients with Chronic Fatigue Syndrome (GETSET): Protocol for a Randomized Controlled Trial and Interview Study

Background: Chronic fatigue syndrome, also known as myalgic encephalomyelitis (CFS/ME), is characterized by chronic disabling fatigue and other symptoms, which are not explained by an alternative diagnosis. Previous trials have suggested that graded exercise therapy (GET) is an effective and safe treatment. GET itself is therapist-intensive with limited availability. Objective: While guided self-help based on cognitive behavior therapy appears helpful to patients, Guided graded Exercise Self-help (GES) is yet to be tested. Methods: This pragmatic randomized controlled trial is set within 2 specialist CFS/ME services in the South of England. Adults attending secondary care clinics with National Institute for Health and Clinical Excellence (NICE)-defined CFS/ME (N=218) will be randomly allocated to specialist medical care (SMC) or SMC plus GES while on a waiting list for therapist-delivered rehabilitation. GES will consist of a structured booklet describing a 6-step graded exercise program, supported by up to 4 face-to-face/telephone/Skype™ consultations with a GES-trained physiotherapist (no more than 90 minutes in total) over 8 weeks. The primary outcomes at 12-weeks after randomization will be physical function (SF-36 physical functioning subscale) and fatigue (Chalder Fatigue Questionnaire). Secondary outcomes will include healthcare costs, adverse outcomes, and self-rated global impression change scores. We will follow up all participants until 1 year after randomization. We will also undertake qualitative interviews of a sample of participants who received GES, looking at perceptions and experiences of those who improved and worsened. Results: The project was funded in 2011 and enrolment was completed in December 2014, with follow-up completed in March 2016. Data analysis is currently underway and the first results are expected to be submitted soon. Conclusions: This study will indicate whether adding GES to SMC will benefit patients who often spend many months waiting for rehabilitative therapy with little or no improvement being made during that time. The study will indicate whether this type of guided self-management is cost-effective and safe. If this trial shows GES to be acceptable, safe, and comparatively effective, the GES booklet could be made available on the Internet as a practitioner and therapist resource for clinics to recommend, with the caveat that patients also be supported with guidance from a trained physiotherapist. The pragmatic approach in this trial means that GES findings will be generalizable to usual National Health Service (NHS) practice.

Commodification of health care systems: The Catalan case

Commodification of the public healthcare system has been a growing process in recent decades, especially in universal healthcare systems and in high-income countries like Spain.  There are substantial differences in the healthcare systems of each autonomous region of Spain, among which Catalonia is characterized by having a mixed healthcare system with complex partnerships and interactions between the public and private healthcare sectors.  Using a narrative review approach, this article addresses various aspects of the Catalan healthcare system, characterizing the privatization and commodification of health processes in Catalonia from a historical perspective with particular attention to recent legislative changes and austerity measures.  The article approximates, the eventual effects that commodification and austerity measures will have on the health of the population and on the structure, accessibility, effectiveness, equity and quality of healthcare services.