introduction: temporomandibular disorders (tmd) lead to masticatory muscle pain, jaw movement disability and limitation in mouth opening. pain is the chief complaint in 90% of the tmd patients which leads to disability and severe socioeconomic costs. the purpose of this study was to evaluate the therapeutic effects of low level laser therapy (lllt) compared to pharmacotherapy with nsaids (napro...

objectives: the purpose of this experimental study was to evaluate the efficacy of low level laser therapy (lllt) for pain reduction after midpalatal expansion in rats.   materials and methods: sixty male sprague six-week old rats weighing 180±10g were divided into seven groups (two experimental groups of 24 rats and one control group of 12 rats). the experimental groups were subjected to expan...

background: numerous in vitro reports suggest that low level laser therapy (lllt) affects cellular processes by biostimulation, however most of them emphasize on using visible light lasers which have low penetration. the aim of this study was to determine the effect of infrared laser light (which is more useful in clinic because of its higher penetration) on secretion of fibroblast growth facto...

one of the world's major mineral dust source regions lies along the border between iran and afghanistan. in this studyit is hypothesized that a low-level jet may play in role in generating the intensity of this source region. the presence of alow-level jet east of the seistan mountains is documented here for the first time. the jet exists mainly from may toseptember and has a core at 850 mb. ma...

Cross-media retrieval is becoming increasingly important nowadays. To address this challenging problem, most existing approaches project heterogeneous features into a unified feature space to facilitate their similarity computation. However, this unified feature space usually has no explicit semantic meanings, which might ignore the hints contained in the original media content, and thus is not...

Scene categorization is an important mechanism for providing high-level context which can guide methods for a more detailed analysis of scenes. State-of-the-art techniques like Torralba’s Gist features show a good performance on categorizing outdoor scenes but have problems in categorizing indoor scenes. In contrast to object based approaches, we propose a 3D feature vector capturing general pr...

We develop a fully automatic image colorization system. Our approach leverages recent advances in deep networks, exploiting both low-level and semantic representations. As many scene elements naturally appear according to multimodal color distributions, we train our model to predict per-pixel color histograms. This intermediate output can be used to automatically generate a color image, or furt...

| Feature extraction remains an important part of low-level vision. Traditional oriented lters have been e ective tools to identify features, such as lines and edges. Steerable lters, which can be adjusted at arbitrary orientation, have made decisions of feature orientations more precise. Combined with a pyramid structure of a multiscale representation, these lters can provide a reliable and e ...

We describe a new method for detecting features on a marked RoboCup field. We implemented the framework for robots with omnidirectional vision, but the method can be easily adapted to other systems. The focus is on the recognition of the center circle and four different corners occurring in the penalty area. Our constructive approach differs from previous methods, in that we aim to detect a who...

With the use of terrestrial laser scanning, it is possible to capture thousands of 3-dimensional points on the surface of an object. The problem is that the vast quantity of data that needs to be manipulated sometimes hinders its application. There exist several techniques for the semi-automatic extraction of low-level features that help compensate for this problem. In addition to reviewing som...