On the Quality of Decision Functions in Pattern Recognition

The problem of decision functions quality in pattern recognition is considered. An overview of the approaches to the solution of this problem is given. Within the Bayesian framework, we suggest an approach based on the Bayesian interval estimates of quality on a finite set of events.

Quality uncertainty and allocation of decision rights in the European protected designation of origin

The paper considers some issue in the governance of the European Protected Designation of Origin (PDO). The PDO systems are the outcomes of both farmers and consumers expectations and connect the valorisation of the agricultural and rural resources of given territories to the quality of typical products. A critical point in the governance of the PDO systems is represented by the connection between the quality strategies and the uncertainty. The paper argues that the PDO systems can be thought of as strictly coordinated subsystems in which the ex post governance play a critical role in coping with quality uncertainty. The study suggests that the society's inducements given raise to complex organizational systems in which the allocation of decision rights to PDO collective organizations play a major role. The empirical analysis is carried out by examining ten Italian PDO systems in order to identify the decision rights allocated.

Painful bladder syndrome: management and effect on sexual function and quality of life

Primary aim of this study was to evaluate the effect of our therapeutical management in patients with painful bladder syndrome (PBS)/interstitial cystitis (IC) on sexual function, quality of life and bladder symptoms using validated tools prospectively

Extreme Situations Prediction by MultidimenSional Heterogeneous Time Series Using Logical Decision Functions

* The work is supported by RFBR, grant 04-01-00858-a

Crowdfunding campaigns: Perceived quality and success

Research in Crowdfunding is an emerging priority within the field of Entrepreneurship. Hundreds of platforms provide nowadays multiple Crowdfunding schemes which are intended to make it easier for entrepreneurs and others to collect money from the crowd. However, only a few campaigns become successful as others don’t reach the pre-established funding goal. It is thus necessary to keep on understanding the dynamics of these platforms and the factors which justify success. The asymmetry of information has been shown to be a delicate issue as people perceive quality in different manners. As so, this research aims to understand which components of perceived quality mostly influence investments decisions. Mainly Entrepreneurship and Marketing theories were explored along the way. This is research follows a causal approach where nineteen hypotheses are tested. An experimental survey was conducted and data was collected from 127 people who were asked to evaluate one of the most important pieces of any Crowdfunding campaign – the pitch video – and consequently invest on the presented products.

An empirical examination of the strategic decision-making process:the relationship between context, process, and outcomes

Despite concerted academic interest in the strategic decision-making process (SDMP) since the 1980s, a coherent body of theory capable of guiding practice has not materialised. This is because many prior studies focus only on a single process characteristic, often rationality or comprehensiveness, and have paid insufficient attention to context. To further develop theory, research is required which examines: (i) the influence of context from multiple theoretical perspectives (e.g. upper echelons, environmental determinism); (ii) different process characteristics from both synoptic formal (e.g. rationality) and political incremental (e.g. politics) perspectives, and; (iii) the effects of context and process characteristics on a range of SDMP outcomes. Using data from 30 interviews and 357 questionnaires, this thesis addresses several opportunities for theory development by testing an integrative model which incorporates: (i) five SDMP characteristics representing both synoptic formal (procedural rationality, comprehensiveness, and behavioural integration) and political incremental (intuition, and political behaviour) perspectives; (ii) four SDMP outcome variables—strategic decision (SD) quality, implementation success, commitment, and SD speed, and; (iii) contextual variables from the four theoretical perspectives—upper echelons, SD-specific characteristics, environmental determinism, and firm characteristics. The present study makes several substantial and original contributions to knowledge. First, it provides empirical evidence of the contextual boundary conditions under which intuition and political behaviour positively influence SDMP outcomes. Second, it establishes the predominance of the upper echelons perspective; with TMT variables explaining significantly more variance in SDMP characteristics than SD specific characteristics, the external environment, and firm characteristics. A newly developed measure of top management team expertise also demonstrates highly significant direct and indirect effects on the SDMP. Finally, it is evident that SDMP characteristics and contextual variables influence a number of SDMP outcomes, not just overall SD quality, but also implementation success, commitment, and SD speed.

Stability analysis of tree structured decision functions

In multicriteria decision problems many values must be assigned, such as the importance of the different criteria and the values of the alternatives with respect to subjective criteria. Since these assignments are approximate, it is very important to analyze the sensitivity of results when small modifications of the assignments are made. When solving a multicriteria decision problem, it is desirable to choose a decision function that leads to a solution as stable as possible. We propose here a method based on genetic programming that produces better decision functions than the commonly used ones. The theoretical expectations are validated by case studies. © 2003 Elsevier B.V. All rights reserved.

Tratamento farmacológico da DPOC

Aproximadamente sete milhões de brasileiros acima de 40 anos são acometidos pela DPOC. Nos últimos anos, importantes avanços foram registrados no campo do tratamento medicamentoso dessa condição. Foi realizada uma revisão sistemática incluindo artigos originais sobre tratamento farmacológico da DPOC publicados entre 2005 e 2009, indexados em bases de dados nacionais e internacionais e escritos em inglês, espanhol ou português. Artigos com tamanho amostral menor de 100 indivíduos foram excluídos. Os desfechos sintomas, função pulmonar, qualidade de vida, exacerbações, mortalidade e efeitos adversos foram pesquisados. Os artigos foram classificados segundo o critério da Global Initiative for Chronic Obstructive Lung Disease para nível de evidência científica (grau de recomendação A, B e C). Dos 84 artigos selecionados, 40 (47,6%), 18 (21,4%) e 26 (31,0%) foram classificados com graus A, B e C, respectivamente. Das 420 análises oriundas desses artigos, 236 referiam-se à comparação de fármacos contra placebo nos diversos desfechos estudados. Dessas 236 análises, os fármacos mais frequentemente estudados foram anticolinérgicos de longa duração, a combinação β2-agonistas de longa duração + corticosteroides inalatórios e corticosteroides inalatórios isolados em 66, 48 e 42 análises, respectivamente. Nas mesmas análises, os desfechos função pulmonar, efeitos adversos e sintomas geraram 58, 54 e 35 análises, respectivamente. A maioria dos estudos mostrou que os medicamentos aliviaram os sintomas, melhoraram a qualidade de vida, a função pulmonar e preveniram as exacerbações. Poucos estudos contemplaram o desfecho mortalidade, e o papel do tratamento medicamentoso nesse desfecho ainda não está completamente definido. Os fármacos estudados são seguros no manejo da DPOC, com poucos efeitos adversos.

Resistance Training with Vascular Occlusion in Inclusion Body Myositis: A Case Study

GUALANO, B., M. NEVES JR, F. R. LIMA, A. L. PINTO, G. LAURENTINO, C. BORGES, L. BAPTISTA, G. G. ARTIOLI, M. S. AOKI, A. MORISCOT, A. H. LANCHA JR, E. BONFA, and C. UGRINOWITSCH. Resistance Training with Vascular Occlusion in Inclusion Body Myositis: A Case Study. Med Sci. Spot-is Exerc., Vol. 42, No. 2, pp. 250-254, 2010. Inclusion body myositis (IBM) is a rare idiopathic inflammatory myopathy that produces remarkable muscle weakness. Resistance training with vascular occlusion has been shown to improve muscle strength and cross-sectional area in other muscle wasting conditions. Purpose: We evaluated the efficacy of a moderate-intensity resistance training program combined with vascular occlusion by examining functional capacity, muscle morphology, and changes in the expression of genes related to muscle protein synthesis and proteolysis in a patient with IBM. Methods: A 65-yr-old man with IBM resistant to all proposed treatments underwent resistance training with vascular occlusion for 12 wk. Leg press one-repetition maximum; thigh cross-sectional area; balance, mobility, and muscle function; quality of life; and blood markers of inflammation and muscle damage were assessed at baseline and after the 12-wk program. The messenger RNA (mRNA) expression levels of mechanogrowth factor, mammalian target of rapamycin, atrogin-1, and muscle RING finger-1 were also quantified. Results: After the 12-wk training program, the patient`s leg press one-repetition maximum, balance and mobility function, and thigh cross-sectional area increased 15.9%, 60%, and 4.7%, respectively. All Short Form-36 Health Survey Questionnaire subscales demonstrated improvements as well, varying from 18% to 600%. mRNA expression of mechanogrowth factor increased 3.97-fold, whereas that of atrogin-1 decreased 0.62-fold. Muscle RING finger-1 and mammalian target of rapamycin mRNA levels were only slightly altered, 1.18- and 1.28-fold, respectively. Importantly, the exercise did not induce disease flare. Conclusions: We describe a novel, and likely the first, nonpharmacological therapeutic tool that might be able to counteract the muscle atrophy and the declining strength that usually occur in IBM.

Efectividade de um programa de exercício aquático na osteoartrose do joelho

RESUMO: A osteoartrose do joelho é uma condição clínica cuja prevalência tem aumentado nos últimos anos na população idosa. Trata-se de uma condição que pode ser bastante incapacitante para o idoso, gerando um forte impacto social e económico. O exercício aquático tem sido identificado como um factor de promoção da melhoria do quadro clínico nesta população, mas a sua efectividade não está, ainda, determinada. Objectivo: investigar a efectividade, a curto e médio prazo, de um programa de exercício aquático, realizado em grupo, com a duração de 8 semanas, na amplitude articular, dor e rigidez do joelho, e na função física e qualidade de vida, em idosos com osteoartrose do joelho. Metodologia: Recorreu-se a um estudo quase-experimental, double-blind, controlado, sem aleatorização, cuja amostra, constituída por 43 sujeitos, foi selecionada por conveniência. Os sujeitos do grupo experimental (n=22) foram submetidos ao programa de exercício aquático e os do grupo de controlo (n=21) foram submetidos ao programa de exercício no solo. Ambos os programas foram definidos de acordo com as recomendações internacionais para a prática de exercício físico em idosos com osteoartrose (Arthritis Foundation, 2009a, 2009b). Todo o grupo foi avaliado no início do programa, no final do mesmo (8 semanas) e após 6 semanas de follow-up, nos seguintes indicadores: amplitude articular do joelho (através do goniómetro), dor, rigidez, função e qualidade de vida (através do KOOS). Resultados: A amostra deste estudo foi constituída por sujeitos maioritariamente do género feminino (76,7%), com uma média de 72,7 anos (DP=5,49). O programa de exercício aquático implementado demonstrou um aumento da amplitude articular passiva de flexão (p<0,0001) e extensão (p=0,016) do joelho, uma diminuição da dor e da rigidez articular (p<0,0001), um aumento da função nas AVD’s (p<0,0001) e no desporto/lazer (p=0,031), e ainda, um aumento da qualidade de vida (p<0,0001). Contudo, apenas os níveis de amplitude articular passiva de extensão do joelho (p=0,083) e de função no desporto/lazer (p=0,244) se mantiveram ao longo das seis semanas de follow-up. Conclusões: Apesar de algumas limitações, considera-se que este estudo é de grande importância para a comunidade científica e para os fisioterapeutas preocupados com a crescente prevalência da osteoartrose e dos custos associados. O exercício aquático parece ser uma estratégia importante na melhoria do estado de saúde dos idosos com osteoartrose do joelho.----------------- ABSTRACT: The osteoarthritis of the knee is a clinical condition that has been increasing among the elderly population over the past few years. It’s a condition that can be fairly disabling to the elderly individual, and which generates a strong social and economic impact. Aquatic exercise has been named as a promotional factor in the improvement of the clinical picture in this population, but its effectiveness is yet to be determined. Objective: To investigate the effectiveness, in a short and medium term, of an aquatic exercise program undertaken by a group over eight weeks, in the joint amplitude, pain and stiffness of the knee, and in the physical function and quality of life in elderly people who suffer from knee osteoarthritis. Methodology: was used a double-blind, quasi-experimental study with no randomization and its 43 subjects were selected as a matter of convenience. The subjects of the experimental group (n=22) were subjected to an aquatic exercise program and those of the control group (n=21) were subjected to a land-based exercise program. Both programs have followed international recommendations on the practice of physical exercise in elderly people who suffer from osteoarthritis (Arthritis Foundation, 2009a, 2009b). The entire group was evaluated in the beginning and at the end of the program (8 weeks later), and after a 6 week follow-up, in these parameters: knee range of motion (through a goniometer), pain, stiffness, function and quality of life (through KOOS). Results: This sample was predominantly female (76,7%) with a mean age of 72,7 years (SD=5,49). Aquatic exercise resulted in increase of passive joint flexion (p<0,0001) and knee extension (p=0,016), in the decline of pain and stiffness (p<0,0001), in the increase of function in the ADLs (p<0,0001). However, only the knee extension amplitude (p=0,083) and the function in sports/leisure (p=0,244) were kept through the six-week follow-up. Conclusions: Despite some limitations, this study is of great importance to the community and to the physiotherapists concerned with the growing prevalence of osteoarthritis and the associated costs. Aquatic exercise appears to be an important strategy in the improvement of the health condition of patients who suffer from knee osteoarthritis.

Kernel-based mapping of orographic rainfall enhancement in the Swiss Alps as detected by weatherradar

In this paper, we develop a data-driven methodology to characterize the likelihood of orographic precipitation enhancement using sequences of weather radar images and a digital elevation model (DEM). Geographical locations with topographic characteristics favorable to enforce repeatable and persistent orographic precipitation such as stationary cells, upslope rainfall enhancement, and repeated convective initiation are detected by analyzing the spatial distribution of a set of precipitation cells extracted from radar imagery. Topographic features such as terrain convexity and gradients computed from the DEM at multiple spatial scales as well as velocity fields estimated from sequences of weather radar images are used as explanatory factors to describe the occurrence of localized precipitation enhancement. The latter is represented as a binary process by defining a threshold on the number of cell occurrences at particular locations. Both two-class and one-class support vector machine classifiers are tested to separate the presumed orographic cells from the nonorographic ones in the space of contributing topographic and flow features. Site-based validation is carried out to estimate realistic generalization skills of the obtained spatial prediction models. Due to the high class separability, the decision function of the classifiers can be interpreted as a likelihood or susceptibility of orographic precipitation enhancement. The developed approach can serve as a basis for refining radar-based quantitative precipitation estimates and short-term forecasts or for generating stochastic precipitation ensembles conditioned on the local topography.

Analysis and spatial modeling of the indoor radon Swiss data

The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.

Feature Selection for Face Detection

We present a new method to select features for a face detection system using Support Vector Machines (SVMs). In the first step we reduce the dimensionality of the input space by projecting the data into a subset of eigenvectors. The dimension of the subset is determined by a classification criterion based on minimizing a bound on the expected error probability of an SVM. In the second step we select features from the SVM feature space by removing those that have low contributions to the decision function of the SVM.

Qualidade de vida, eficiência mastigatória e presença de disfunção temporomandibular em usuários de prótese parcial removível com arco dental curto inferior

Even nowadays there is in Brasil a large number of edentulous and a precarious financial condition of most of the population. In addition, World Health Organization aims for oral health, which consists on the maintenance of a natural dentition, functional and aesthetic composed of at least 20 teeth, without need of prosthetic intervention throughout life. From this and considering the lack of researches about the permanence of edentulous spaces in the oral cavity, and also avoiding overtreatment, this research has been proposed. Thus, the aim was to evaluate the effect of different lengths of the shortened lower dental arch in the presence or absence of a removable partial denture (RPD) on masticatory function, quality of life and occurrence of temporomandibular dysfunction. To achieve this goal, we compared the masticatory efficiency (colorimetric test), the oral comfort through the analysis of the impact of oral health in quality of life (OHIP-14), the presence of temporomandibular dysfunction (RDC/TMD) and the general quality of life (WHOQOL) of patients with shortened dental arches (SDA) (n=60), which is an arch with a reduction of teeth starting posteriorly, and patients with complete dental arch (Complete DA) (n = 34). The group of patients whit SDA was divided among PPR wears (PPD + SDA) (n = 17) and non-wears (n = 43). The population of this study consisted on patients who received or looked for treatment at the clinics of the Department of Dentistry of UFRN, from clinical analysis and records. The sample was chosen by convenience. For statistical analysis, it was a database in SPSS 17.0, followed by descriptive analysis with frequencies, absolute values, tests of central tendency and variability. The statistical tests used were chi-squared and analysis of variance as well as Tukey s post test, when applicable, all with a 95% confidence level. The results shown a prevalence of TMD of 47,1% among patients using PRP and 69,8% among those who didn t, but this result wasn t statistically significant. The mean of the results of masticatory efficiency, WHOQOL and OHIP didn t show association to the presence or absence of PPR and to the lower number of occlusal units of the patients (0, 1, 2 or more occlusal). The association only occurred among the different groups of SDA and the patients with complete dental arch. Taking into account the results, it could be observed that studied patients with low posterior support using lower PRP didn t have better masticatory efficiency, general quality of life, less impacts of their oral conditions in quality of life or not even less temporomandibular dysfunction or better masticatory efficiency when compared to those who didn t use the prosthesis