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Localization-based super-resolution microscopy (or called localization microscopy) rely on repeated imaging and localization of active molecules, and the spatial resolution enhancement of localization microscopy is built upon the sacrifice of its temporal resolution. Developing algorithms for high-density localization of active molecules is a promising(More)
A novel significant vector (SV) regression algorithm is proposed in this paper based on an analysis of Chen's orthogonal least squares (OLS) regression algorithm. The proposed regularized SV algorithm finds the significant vectors in a successive greedy process in which, compared to the classical OLS algorithm, the orthogonalization has been removed from(More)
For the prediction of nonlinear time series, weighted least squares support vector machine (WLS-SVM) local region method is proposed in this paper. The method has the following two advantages. First, the WLS-SVM can obtain robust estimates for regression through the limited observation, and in the WLSSVM framework, there is a simple and efficient approach(More)
This paper presents an application of ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) for simultaneous screening and identification of 427 pesticides in fresh fruit and vegetable samples. Both full MS scan mode for quantification, and an artificial-intelligence-based product ion scan mode(More)
A simple and rapid multi-class multi-residue analytical method was developed for the screening and quantification of veterinary drugs in milk by ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). A total of 90 veterinary drugs investigated belonged to almost 20 classes including lincomycins,(More)
Soma localization is an important step in computational neuroscience to map neuronal circuits. However, locating somas from large-scale and complicated datasets is challenging. The challenges primarily originate from the dense distribution of somas, the diversity of soma sizes and the inhomogeneity of image contrast. We proposed a novel localization method(More)
The Real-time Architectural Specification (RAS) based on Time Petri-Nets (TPNs) formal method provides a modeling approach to support design and development of reliable real-time distributed systems. In this paper, we present a distributed TPNs simulation algorithm and its clustering implementation for RAS model simulation. The distributed algorithm and(More)
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