ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome ProfilingYiran LiangYiran LiangMore by Yiran Liang, Hayden AcorHayden AcorMore Acor, Michaela A. McCownMichaela McCownMore McCown, Andikan J. NwosuAndikan NwosuMore Nwosu, Hannah BoekwegHannah BoekwegMore ...

Abstract The paper presents an approach to recognizing human actions using additional preprocessing stage of input data. growing volumes video information do not always allow support the quality data at a high level; this can cause limitations in further processing digital In regard, it becomes urgent introduce image enhancement into algorithm for video. proposed method includes three main step...

Before 9 months, infants use sound to retrieve a stationary object hidden by darkness but not one hidden by occlusion, suggesting auditory input is more salient in the absence of visual input. This article addresses how audiovisual input affects 10-month-olds' search for displaced objects. In AB tasks, infants who previously retrieved an object at A subsequently fail to find it after it is disp...

Pan-sharpening algorithms are data-and computation-intensive, and the processing performance can be poor if common serial processing techniques are adopted. This paper presents a parallel computing paradigm for pan-sharpening algorithms based on a generalized fusion model and parallel computing techniques. The developed modules, including eight typical pan-sharpening algorithms, show that the f...

background in supporting a therapeutic approach and medication therapy management, pharmacy information system acts as one of the central pillars of information system. this ensures that medication therapy is being supported and evaluated with an optimal level of safety and quality similar to other treatments and services. objectives this research aims to evaluate the performance of pharmacy in...

Multirate single-stage and multistage structures for highspeed recursive digital filtering are introduced. They can be used for arbitrary bandwidths and to increase the speed to an arbitrary level. Most of the filtering is performed at a lower sampling rate than that of the input and output rates which results in a low computational complexity. Design examples are included for demonstration.

The study of quantization in undoubtedly of extreme importance to all fields relying on a digital representation of the information, such as the fields of Signal and Image processing. This paper presents a new general framework of random quantization theory which encompasses the entire classes of deterministic (i.e. non-dithered) and dithered quantizers. Two new statistical characterizations of...