Validação do Body Image Relationship Scale para mulheres com câncer de mama

ResumoOBJETIVOValidar o instrumento Body Image Relationship Scale (BIRS) em mulheres brasileiras acometidas pelo câncer de mamaMÉTODOSO instrumento foi aplicado por entrevistadoras treinadas em 139 usuárias do Sistema Único de Saúde que foram submetidas aos tratamentos do câncer entre 2006 e 2010. O instrumento foi aferido considerando-se a consistência interna e a confiabilidade. Para efeito de comparação as técnicas de análise fatorial utilizadas no artigo original foram aplicadasRESULTADOSO valor de correlação Spearman-Brown foi 0,8, o que indica alto nível de confiabilidade, e o alfa de Cronbach encontrado foi 0,9, indicando alto nível de consistência interna. A análise fatorial mostrou que quatro questões não tinham poder discriminatório e carga fatorial baixa e outras cinco foram realocadas em outros domínios. Dessa forma, foi aplicada e mostrou variabilidade semelhante ao instrumento originalCONCLUSÃOA versão brasileira do BIRS, renomeada como Escala de Relacionamento e Imagem Corporal (ERIC), apresentou evidências de adequada confiabilidade e consistência interna, o que torna esse instrumento recomendável para aplicação em mulheres brasileiras com câncer de mama, apesar de alguns poucos limites

Utilization of Particle Image velocimetry in PPOOLEX condensation experiments

Particle Image Velocimetry, PIV, is an optical measuring technique to obtain velocity information of a flow in interest. With PIV it is possible to achieve two or three dimensional velocity vector fields from a measurement area instead of a single point in a flow. Measured flow can be either in liquid or in gas form. PIV is nowadays widely applied to flow field studies. The need for PIV is to obtain validation data for Computational Fluid Dynamics calculation programs that has been used to model blow down experiments in PPOOLEX test facility in the Lappeenranta University of Technology. In this thesis PIV and its theoretical background are presented. All the subsystems that can be considered to be part of a PIV system are presented as well with detail. Emphasis is also put to the mathematics behind the image evaluation. The work also included selection and successful testing of a PIV system, as well as the planning of the installation to the PPOOLEX facility. Already in the preliminary testing PIV was found to be good addition to the measuring equipment for Nuclear Safety Research Unit of LUT. The installation to PPOOLEX facility was successful even though there were many restrictions considering it. All parts of the PIV system worked and they were found out to be appropriate for the planned use. Results and observations presented in this thesis are a good background to further PIV use.

Computed tomography image of the mediastinal and axillary lymph nodes in clinically sound Rottweilers

Trough computed tomography (CT), it is possible to evaluate lymph nodes in detail and to detect changes in these structures earlier than with radiographs and ultrasound. Lack of information in the veterinary literature directed the focus of this report to normal aspects of the axillary and mediastinal lymph nodes of adult dogs on CT imaging. A CT scan of 15 normal adult male and female Rottweilers was done. To define them as clinically sound, anamnesis, physical examination, complete blood count, renal and hepatic biochemistry, ECG, and thoracic radiographs were performed. After the intravenous injection of hydrosoluble ionic iodine contrast medium contiguous 10mm in thickness thoracic transverse images were obtained with an axial scanner. In the obtained images mediastinal and axillary lymph nodes were sought and when found measured in their smallest diameter and their attenuation was compared to musculature. Mean and standard deviation of: age, weight, body length and the smallest diameter of the axillary and mediastinal lymph nodes were determined. Mean and standard deviation of parameters: age 3.87±2.03 years, weight 41.13±5.12, and body length 89.61±2.63cm. Axillary lymph nodes were seen in 60% of the animals, mean of the smallest diameter was 3.58mm with a standard deviation of 2.02 and a minimum value of 1mm and a maximum value of 7mm. From 13 observed lymph nodes 61.53% were hypopodense when compared with musculature, and 30.77% were isodense. Mediastinal lymph nodes were identified in 73.33% of the dogs; mean measure of the smallest diameter was 4.71mm with a standard deviation of 2.61mm and a minimum value of 1mm, and a maximum value of 8mm. From 14 observed lymph nodes 85.71% were isodense when compared with musculature and 14.28% were hypodense. The results show that it is possible to visualize axillary and mediastinal lymph nodes in adult clinically sound Rottweilers with CT using a slice thickness and interval of 10mm. The smallest diameter of the axillary and mediastinal lymph nodes not surpassed 7mm and 8mm respectively. Their attenuations were equal or smaller than that of musculature in the post contrast scan.

The Shadow Moiré method using the phase shifting technique and digital image processing: computational implementation and application to the 3D-reconstruction of a buckled plate

The Shadow Moiré fringe patterns are level lines of equal depth generated by interference between a master grid and its shadow projected on the surface. In simplistic approach, the minimum error is about the order of the master grid pitch, that is, always larger than 0,1 mm, resulting in an experimental technique of low precision. The use of a phase shift increases the accuracy of the Shadow Moiré technique. The current work uses the phase shifting method to determine the surfaces three-dimensional shape using isothamic fringe patterns and digital image processing. The current study presents the method and applies it to images obtained by simulation for error evaluation, as well as to a buckled plate, obtaining excellent results. The method hands itself particularly useful to decrease the errors in the interpretation of the Moiré fringes that can adversely affect the calculations of displacements in pieces containing many concave and convex regions in relatively small areas.

A Well Stated Time Domain Integral Representation for Elastodynamic Analysis and Applications

This article discusses three possible ways to derive time domain boundary integral representations for elastodynamics. This discussion points out possible difficulties found when using those formulations to deal with practical applications. The discussion points out recommendations to select the convenient integral representation to deal with elastodynamic problems and opens the possibility of deriving simplified schemes. The proper way to take into account initial conditions applied to the body is an interesting topict shown. It illustrates the main differences between the discussed boundary integral representation expressions, their singularities and possible numerical problems. The correct way to use collocation points outside the analyzed domain is carefully described. Some applications are shown at the end of the paper, in order to demonstrate the capabilities of the technique when properly used.

Real-time Image-based RGB-D Camera Motion Tracking and Environment Mapping

In this work, image based estimation methods, also known as direct methods, are studied which avoid feature extraction and matching completely. Cost functions use raw pixels as measurements and the goal is to produce precise 3D pose and structure estimates. The cost functions presented minimize the sensor error, because measurements are not transformed or modified. In photometric camera pose estimation, 3D rotation and translation parameters are estimated by minimizing a sequence of image based cost functions, which are non-linear due to perspective projection and lens distortion. In image based structure refinement, on the other hand, 3D structure is refined using a number of additional views and an image based cost metric. Image based estimation methods are particularly useful in conditions where the Lambertian assumption holds, and the 3D points have constant color despite viewing angle. The goal is to improve image based estimation methods, and to produce computationally efficient methods which can be accomodated into real-time applications. The developed image-based 3D pose and structure estimation methods are finally demonstrated in practise in indoor 3D reconstruction use, and in a live augmented reality application.

Brand attitudes influence on city brand image, and their impact on behavioral intention

The main objective of this Master’s Thesis was to examine the perceived city brand image of tourists and residents. It was aimed to accomplish by examining first the contribution of city attributes and marketing communications on forming brand attitudes, and then discover how the brand attitudes influence on city brand image. The impact of brand attitudes and city brand image on behavioral intention was also reviewed. The empirical part of the thesis was conducted with a quantitative method through online-based survey. The sample (n = 492) consisted of tourists and residents of the case city. The data was analyzed with statistical analyses by SPSS program. Brand attitudes, based on the main attributes, were calculated through multi-attribute attitude model. The results confirmed exposure to marketing communications has direct and positive influence on brand attitudes, especially the offline marketing communications. The findings revealed brand attitudes impact directly on city brand image perception. Brand attitudes and brand image dimensions had direct impact on tourists and residents’ behavioral intention. The findings provide important information for the city marketers. They increase marketers understanding on how target population perceives the city brand image and how it impacts on their future behavior. This thesis reveals the perception of current city brand image and gives guidance on what to emphasize in city branding to increase city’s attractiveness in conjunction with its economic development. Furthermore, the created framework can be utilized also in the future researches.

University Image vs. University Identity: Congruence between Expectations and Experience

The aim of this thesis was to examine congruencies between university identity and university images of prospective and current students. Therefore, factors essentially influencing on expected and experienced university images were identified. Providing an understanding on the differences in the formation of both concepts allowed the analysis of potential incongruities between a university’s identity and the perceptions its students hold. The study was conducted in July and August 2013 at Lappeenranta University of Technology by means of a web-based research survey. The sample consisted of 160 international Master’s degree students who were admitted in 2011, 2012 and 2013. Descriptive and multivariate statistical analysis methods were used to process the data. The results of the study indicated statistically significant incongruities between the case university’s identity and its students’ images. Further, the expected and experienced university images showed incongruities to each other. Deviations were additionally detected to be dependent on the students’ home regions. All in all, there is potential for an improvement of the students’ experiences resulting from a low perception of the student’s preparation for future job life.

Brand Identity and Image in B2B Factory Automation Context

The goal of this thesis is to study how a solution-oriented business-to-business company can utilize its brand as a strategic asset by using the concepts of brand identity and brand image. The study analyses the intended brand message (identity) contrasting it with the customer perceptions (image) to reveal points of parity and congruence. The study uses a case company as an example and discusses the benefits of brand management as well. Internally, brands can be studied by performing a set of interviews amongst top and middle management. The interviews need to consider the various elements of branding from associations to differentiation and value creation. Customers’ perceptions can be reliably studied via online survey designed to compare the intended brand message with customers’ experiences. From the perspective of industrial management the incentive for brand development lies in both monetary and managerial benefits. In literature the four essential benefits of B2B branding are risk dilution, efficiency of communications, strategic direction and price premiums. As a result, suggestive models for brand identity and image were devised and compared. The Case Company perceives itself as a technically oriented open-integrator, with a strong focus on reliability and customer service. Customers agree with the picture in general, but there are some points of parity as well: they are quite satisfied with the company and perceive it as reliable and providing the promised value. The problematic areas revolve around customer interaction and maintaining the leadership position. The results confirm previous findings in B2B branding theory, where the reliability and credibility of the supplier are in major role. The results also suggest a holistic, corporate approach on branding.

Scalable algorithms for height field illumination

Global illumination algorithms are at the center of realistic image synthesis and account for non-trivial light transport and occlusion within scenes, such as indirect illumination, ambient occlusion, and environment lighting. Their computationally most difficult part is determining light source visibility at each visible scene point. Height fields, on the other hand, constitute an important special case of geometry and are mainly used to describe certain types of objects such as terrains and to map detailed geometry onto object surfaces. The geometry of an entire scene can also be approximated by treating the distance values of its camera projection as a screen-space height field. In order to shadow height fields from environment lights a horizon map is usually used to occlude incident light. We reduce the per-receiver time complexity of generating the horizon map on N N height fields from O(N) of the previous work to O(1) by using an algorithm that incrementally traverses the height field and reuses the information already gathered along the path of traversal. We also propose an accurate method to integrate the incident light within the limits given by the horizon map. Indirect illumination in height fields requires information about which other points are visible to each height field point. We present an algorithm to determine this intervisibility in a time complexity that matches the space complexity of the produced visibility information, which is in contrast to previous methods which scale in the height field size. As a result the amount of computation is reduced by two orders of magnitude in common use cases. Screen-space ambient obscurance methods approximate ambient obscurance from the depth bu er geometry and have been widely adopted by contemporary real-time applications. They work by sampling the screen-space geometry around each receiver point but have been previously limited to near- field effects because sampling a large radius quickly exceeds the render time budget. We present an algorithm that reduces the quadratic per-pixel complexity of previous methods to a linear complexity by line sweeping over the depth bu er and maintaining an internal representation of the processed geometry from which occluders can be efficiently queried. Another algorithm is presented to determine ambient obscurance from the entire depth bu er at each screen pixel. The algorithm scans the depth bu er in a quick pre-pass and locates important features in it, which are then used to evaluate the ambient obscurance integral accurately. We also propose an evaluation of the integral such that results within a few percent of the ray traced screen-space reference are obtained at real-time render times.

Local Features in Image and Video Processing - Object Class Matching and Video Shot Detection

The usage of digital content, such as video clips and images, has increased dramatically during the last decade. Local image features have been applied increasingly in various image and video retrieval applications. This thesis evaluates local features and applies them to image and video processing tasks. The results of the study show that 1) the performance of different local feature detector and descriptor methods vary significantly in object class matching, 2) local features can be applied in image alignment with superior results against the state-of-the-art, 3) the local feature based shot boundary detection method produces promising results, and 4) the local feature based hierarchical video summarization method shows promising new new research direction. In conclusion, this thesis presents the local features as a powerful tool in many applications and the imminent future work should concentrate on improving the quality of the local features.

European luxury brands made in China: the effect of low-cost country manufacturing on brand image and purchase decisions

European luxury brands have an image of manufacturing their products in the same country where the brands originate. However, in the past years many luxury brands have shifted their manufacturing to countries outside Europe. China is now a common manufacturing country for European luxury brands despite the country’s poor image as a manufacturer. Chinese manufacturing is often associated with bad quality, bad labour conditions, mass production, and counterfeits. The image of China does not quite match the image luxury brands enjoy including characteristics such as high end quality, craftsmanship, details, design, or premium price. A negatively perceived country-of-manufacture may have an effect on a brand’s image and consumers’ purchase decisions. This thesis is focused on European luxury brands manufacturing in China, and how this effects the brand image and purchase decisions among luxury consumers. The empirical part of this thesis is based on focus group research, which is a popular method in the field of qualitative research. The main focus group is female luxury consumers in Finland. This main group has been divided into three categories: 1) the university students, 2) the young career women, 3) the experienced luxury consumers. This categorization has been done based on their different stages in luxury consumption. All in all, the empirical research consisted of 11 interviews and 29 participants. The main contribution of this thesis was that there is a difference between the opinions of the younger groups (university students and young career women) and the experienced luxury consumers when discussing the effect of country-of-manufacture on brand image and purchase decisions of luxury brands. The younger participants thought that manufacturing luxury products in China might affect the brand image, but their purchase decisions would not be that much affected by the country-of-origin. The experienced luxury consumers had quite a different view on the country-of-origin of luxury brands – they found it an important decisive factor prior making purchases. The majority of experienced luxury consumers would not buy luxury products made in China, and they would always check where these products are made in.

Biomedical Event Extraction with Machine Learning

Biomedical natural language processing (BioNLP) is a subfield of natural language processing, an area of computational linguistics concerned with developing programs that work with natural language: written texts and speech. Biomedical relation extraction concerns the detection of semantic relations such as protein-protein interactions (PPI) from scientific texts. The aim is to enhance information retrieval by detecting relations between concepts, not just individual concepts as with a keyword search. In recent years, events have been proposed as a more detailed alternative for simple pairwise PPI relations. Events provide a systematic, structural representation for annotating the content of natural language texts. Events are characterized by annotated trigger words, directed and typed arguments and the ability to nest other events. For example, the sentence “Protein A causes protein B to bind protein C” can be annotated with the nested event structure CAUSE(A, BIND(B, C)). Converted to such formal representations, the information of natural language texts can be used by computational applications. Biomedical event annotations were introduced by the BioInfer and GENIA corpora, and event extraction was popularized by the BioNLP'09 Shared Task on Event Extraction. In this thesis we present a method for automated event extraction, implemented as the Turku Event Extraction System (TEES). A unified graph format is defined for representing event annotations and the problem of extracting complex event structures is decomposed into a number of independent classification tasks. These classification tasks are solved using SVM and RLS classifiers, utilizing rich feature representations built from full dependency parsing. Building on earlier work on pairwise relation extraction and using a generalized graph representation, the resulting TEES system is capable of detecting binary relations as well as complex event structures. We show that this event extraction system has good performance, reaching the first place in the BioNLP'09 Shared Task on Event Extraction. Subsequently, TEES has achieved several first ranks in the BioNLP'11 and BioNLP'13 Shared Tasks, as well as shown competitive performance in the binary relation Drug-Drug Interaction Extraction 2011 and 2013 shared tasks. The Turku Event Extraction System is published as a freely available open-source project, documenting the research in detail as well as making the method available for practical applications. In particular, in this thesis we describe the application of the event extraction method to PubMed-scale text mining, showing how the developed approach not only shows good performance, but is generalizable and applicable to large-scale real-world text mining projects. Finally, we discuss related literature, summarize the contributions of the work and present some thoughts on future directions for biomedical event extraction. This thesis includes and builds on six original research publications. The first of these introduces the analysis of dependency parses that leads to development of TEES. The entries in the three BioNLP Shared Tasks, as well as in the DDIExtraction 2011 task are covered in four publications, and the sixth one demonstrates the application of the system to PubMed-scale text mining.