Aggregating information across multiple variants in a gene or region can improve power for rare variant association testing. Power is maximized when the aggregation region contains many causal variants and few neutral variants. In this paper, we present a method for the localization of the association signal in a region using a sliding-window based approach to rare variant association testing i...

hanna mina is considered as  one of the realist writers. he achieved fame in syria by his first novel al-masabih al-zorq (1945) and in his later works introduced himself as a prolific and talented writer.he was different from the others because the subject of his novels was life problems and he believed that realism can embrace other literary schools  such as  romanticism and symbolism. this ap...

MODerate resolution Imaging Spectroradiometer (MODIS) data are largely used in multitemporal analysis of various Earth-related phenomena, such as vegetation phenology, land use/land cover change, deforestation monitoring, and time series analysis. In general, the MODIS products used to undertake multitemporal analysis are composite mosaics of the best pixels over a certain period of time. Howev...

In this study, the authors present a new area-based stereo matching algorithm that computes dense disparity maps for a real-time vision system. Although many stereo matching algorithms have been proposed in recent years, correlation-based algorithms still have an edge because of speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult...

the study attempts to find out the impact of buyback announcement on share price. paired sample t-test is employed to compare share price before and after the buyback announcement. the analysis of variance is also used to find out whether there is any significant difference among industries in the price change due to buyback announcement. the study is carried out from 1st january 2005 to 31st d...

This paper presents the Multiphysics Analysis of a High-Power Microwave Window for Ka-Band Klystron providing 16MW peak power. After optimization electromagnetic performances, we analyze effect RF heating and stress pressure on window. We also multipactor effect, that is common cause window failure. Using such approach, it possible to realize virtual prototype capable represent in complete way ...

We study the problem of mapping from acoustic to visual speech with the goal of generating accurate, perceptually natural speech animation automatically from an audio speech signal. We present a sliding window deep neural network that learns a mapping from a window of acoustic features to a window of visual features from a large audio-visual speech dataset. Overlapping visual predictions are av...

Early vision relies heavily on rectangular windows for tasks such as smoothing and computing correspondence. While rectangular windows are efficient, they yield poor results near object boundaries. We describe an efficient method for choosing an arbitrarily shaped connected window, in a manner that varies at each pixel. Our approach can be applied to several problems, including image restoratio...

Several methods have been developed to enhance the performance of image denoising algorithms. In this letter we have developed an algorithm for image noise removal based on local adaptive window size/shape filtering. While rectangular windows are efficient, they yield poor results near object boundaries. We describe an efficient method for determining the variable size of the locally adaptive w...