Background: Dizziness is a common complaint in medicine. Nevertheless, there lack of valid data concerning the age and gender distribution dizziness disorders within larger population. Therefore, aim present study to undertake representative epidemiological survey that examines all groups an entire population describes most peripheral vestibular disorders. Methods: A population-based based on confirmed ICD-10 codes, national was performed. The 70,315,919 patients were leveraged, as provided...

The angiopoietins (Ang-1 and Ang-2) have been identified as agonistic antagonistic ligands of the endothelial receptor tyrosine kinase Tie2, respectively. Both demonstrated to induce translocation Tie2 cell-cell junctions. However, only Ang-1 induces Tie2-dependent Akt activation subsequent survival signaling quiescence. Ang-2 interferes negatively with Ang-1/Tie2 signaling, thereby antagonizing axis. Here, we show that both recruit beta3 integrins Tie2. This co-localization is most...

Literature review studies are essential and form the foundation for any type of research. They serve as point departure those seeking to understand a research topic, well as, helps communities reflect on ideas, fundamentals, approaches that have emerged, been acknowledged, formed state-of-the-art. In this paper, we present semi-systematic literature 218 papers published over last four decades contributed better understanding architectural design decisions (ADDs). These publications cover...

In large software engineering projects, designing systems is a collaborative decision-making process where group of architects and developers make design decisions on how to address concerns by discussing alternative solutions. For the process, involving appropriate individuals requires objectivity awareness about their expertise. this paper, we propose novel expert recommendation system that identifies who could be involved in tackling new projects. The approach behind proposed addresses...

Software architecture can be seen as a set of architectural design decisions. These decisions, especially their rationale, play an important role in understanding software systems and constraints that are imposed on future Documenting managing these decisions takes lot effort is therefore often neglected by architects. Following our vision to avoid explicit knowledge management, we present innovative tool used industrial practise able automatically recover from natural language text. The...

The architecture of any software can be thought as a blueprint its structure. This is an artifact generated based on series decisions taken by architects and determines the overall quality resulting software. first part this paper focuses identifying formalizing decision-making models in context designing Three are investigated detail: rational economic model, bounded recognition-primed decision model. steps making mapped to OODA Loop (Observe, Orient, Decide Act) cycle generic framework for...

The need to support a software architect's day-to-day activities through efficient tool has been highlighted both in research and industry. However, managing enterprises' Architectural Knowledge (AK) scenarios such as decision making, what-if analysis, collaboration during the execution of large industrial projects is still challenge. In this paper, we propose architecture an AK management framework architects manage AK. components including SyncPipes rule engine allow consolidate projects'...

Abstract Model transformations are central to model-driven software development. Applications of model include creating models, handling co-evolution, merging, and understanding evolution. In the past, various (semi-)automatic approaches derive from meta-models or examples have been proposed. These require time-consuming handcrafting recording concrete examples, they unable complex transformations. We propose a novel unsupervised approach, called Ockham , which is able learn edit operations...

The following topics are dealt with: learning (artificial intelligence); pattern classification; natural language processing; convolutional neural nets; feature extraction; support vector machines; multi-agent systems; text analysis; vectors.

Model transformations play a fundamental role in model-driven software development. They can be used to solve or support central tasks, such as creating models, handling model co-evolution, and merging. In the past, various (semi-)automatic approaches have been proposed derive from meta-models examples. These require time-consuming handcrafting recording of concrete examples, they are unable complex transformations. We propose novel unsupervised approach, called Ockham, which is able learn...

Robust and accurate segmentation of blood vessels is important for treatment diagnosis cardiovascular diseases. Here, we introduce a new approach 3D which formulated as convex parameter estimation problem combined with an incremental tracking approach. Parameter values are determined global optimum semidefinite program admissible shape variations imposed by constraints. The performance the has been evaluated using synthetic images clinical CTA aorta including pathologies.

Native-MR angiography (N-MRA) is considered an imaging alternative to contrast enhanced MR (CE-MRA) for patients with renal insufficiency. Lower intraluminal in N-MRA often leads failure of the segmentation process commercial algorithms. This study introduces in-house 3D model-based approach used compare both sequences by automatic lumen segmentation, allowing evaluation differences aortic diameters as well length comparing acquisition techniques at every possible location.Sixteen healthy...

Automated quantification of the morphology aortic arch is crucial for diagnosis and treatment cardiovascular diseases. We introduce a new approach <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fully</i> xmlns:xlink="http://www.w3.org/1999/xlink">automatic</i> segmentation characterization endovascular repair. Supraaortic branches are detected based on an analysis connected components within spherical volume around vessel. Segmentation 3D...

Although we learn as children that "you shall not lie", it is widely accepted deceptions and lies are necessary, yet unloved, parts of human communication. They part the clay holds together bricks our society. In human-computer interaction, however, deceiving machines seen a taboo. this paper, want to challenge perception by describing virtual agent improves decision-making processes decision-makers in controlled manner. A first survey conducted shows such bot could indeed lead more informed process.

We introduce a 3D model-based approach for automatic segmentation of fluorescent heterochromatin foci from microscopy images. The employs new parametric intensity model based on spherical harmonics (SH) expansion and can represent regular highly irregular shapes. By solving least-squares minimization problem, the is directly fitted to image data, parameters including SH coefficients are estimated. has been successfully applied real data compared previous approaches.

OBJETIVO: Descrever as implicações e riscos da gravidez ectópica para a saúde mulher. MÉTODO: A pesquisa é uma revisão integrativa, realizada com base na seguinte pergunta norteadora: Quais mulher? Sendo utilizada estratégia PICO, realização dessa pergunta, em que “p” população: Mulheres ectópica, “I” interesse: Avaliação das causados pela “C” “O” contexto: Descrição ectópica. Utilizou-se busca avançada por meio Biblioteca Virtual Saúde (BVS), cruzando os descritores dos operadores booleanos...