Abstract.On the basis of ACLA(Advanced Centroid Location Algorithm), IACLA(Improvement to Advanced Centroid Location Algorithm)was proposed. IACLA used the located unknown nodes and beacon nodes to get the final estimate. It was equivalent to weighted centroid location algorithm, and made the weights more reasonable. Analysis and simulation results show that IACLA produces smaller error than ACLA with the same coverage rate of location.
We report on the preparation and hydrogen desorption/absorption kinetics of nanocrystalline magnesium hydride (MgH2) added commercial TiO2by high-energy ball milling. The phase and composition of the as-milled powders are characterized by X-ray diffraction (XRD). The results show that the milled sample contained MgH2phase, small amount of Mg and various phases of TiO2such as tetragonal and orthorhombic structure. The effect of the milling time (10, 20 and 30 h) on the hydrogen desorption property of MgH2has been investigated and found that the milling time of 20 h has excellent dehydrogenation properties, which can release 3.3 wt% H2within 60 min at 300oC, which indicates that the kinetics of hydrogen desorption of MgH2-TiO2composite has been greatly enhanced compared to the pure MgH2. Moreover, hydrogen absorption kinetics of the sample milled 20 h has been studied and the hydrogen content is 0.7, 0.8 and 1.2 wt% H2at 250, 280 and 300oC within 60 min, respectively.
Calcium (Ca 2+ ) signaling in endothelial cells plays an important role in regulation of wide range of physiological processes in the pulmonary microcirculation. A dysregulation in the intracellular Ca 2+ concentration can serve as an initiator of different pathological conditions like lung endothelial barrier disruption, edema, inflammation, etc. Normal physiologic signaling is localized spatio-temporally and signaling 'signatures' define the specificity of outcomes within the cells. However, analyzing the signaling dynamics acquired through imaging of live tissues has been challenging owing to the intricate patterns of the distinct signals. Moreover, signal analysis tools based on whole-field or static region of interest (ROI) assessments may under-or overestimate measurements of signaling parameters with respect to event origination, spread and duration. In the current study we designed an algorithm for detection and analysis of these biological signaling events based on dynamic ROI tracking, where time-dependent polygonal ROIs are automatically assigned to the changing perimeters of detected signaling events. This approach allowed for robust tracking of signals and quantification of the signaling event parameters over time We next applied this algorithm on image sequences of lung slices isolated from genetically encoded mice expressing the endothelial specific cdh5GCaMP8 (GFP-based) calcium indicator, and observed an inherent dynamic Ca 2+ signaling profile within the pulmonary microvascular endothelium. To investigate the versatility of our algorithm, we further treated the lung slices with acetylcholine (ACh) or subjected them to Ca 2+ -free (CAF) medium, to examine the emerging change in patterns of the profiles from the inherent basal dynamics. Under both these conditions, our software revealed distinct changes in event parameters with respect to event amplitude, duration and spread of the signaling events. Thus, our algorithm allowed us to identify distinct Ca 2+ signaling patterns associated with various stimuli, thereby enabling identification of these signatures under a wide variety of sub-cellular/pathologic challenges.
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