Color Behavior Of BL Lacertae Object OJ 287 During Optical Outburst

This paper aims to study the color behavior of the BL Lac object OJ 287 during optical outburst. According to the revisit of the data from the OJ-94 monitoring project and the analysis the data obtained with the 60/90 cm Schmidt Telescope of NAOC, we found a bluer-when-brighter chromatism in this object. The amplitude of variation tends to decrease with the decrease of frequency. These results are consistent with the shock-in-jet model. We made some simulations and confirmed that both amplitude difference and time delay between variations at different wavelengths can result in the phenomenon of bluer-when-brighter. Our observations confirmed that OJ 287 underwent a double-peaked outburst after about 12 years from 1996, which provides further evidence for the binary black hole model in this object.Comment: 25 pages, 13 figure

Linear Feature Extraction of Buildings from Terrestrial LIDAR Data with Morphological Techniques

LiDAR has been a major interest of photogrammetry to acquire three dimensional objects. It has shown its promising capabilities in building virtual reality applications, such as virtual campus and virtual historic sites. However, point clouds of LiDAR data always occupy a large sum of storage capacity. This blocks further fast processing of LiDAR data to combine with GIS to build virtual reality. The research focused on linear feature extraction of buildings from terrestrial LiDAR data. To obtain linear features of buildings is one of the critical steps to realize minimization of redundant data and high efficiency of data processing. The paper discussed the procedure of linear features extracting of buildings and mainly put forward edge detection algorithms based on fractal dimension theory. Triangular method was chosen to obtain fractal dimension values of grids. The algorithm was not only effective and efficient to detect building edges, but also helpful for segmenting the building and nature objects. Future work was also discussed in the end

Linear Feature Extraction of Buildings from Terrestrial LIDAR Data with Morphological Techniques

LiDAR has been a major interest of photogrammetry to acquire three dimensional objects. It has shown its promising capabilities in building virtual reality applications, such as virtual campus and virtual historic sites. However, point clouds of LiDAR data always occupy a large sum of storage capacity. This blocks further fast processing of LiDAR data to combine with GIS to build virtual reality. The research focused on linear feature extraction of buildings from terrestrial LiDAR data. To obtain linear features of buildings is one of the critical steps to realize minimization of redundant data and high efficiency of data processing. The paper discussed the procedure of linear features extracting of buildings and mainly put forward edge detection algorithms based on fractal dimension theory. Triangular method was chosen to obtain fractal dimension values of grids. The algorithm was not only effective and efficient to detect building edges, but also helpful for segmenting the building and nature objects. Future work was also discussed in the end

Feedback Control Models and Their Application in Pedestrian Navigation Systems

Feedback control theory has been widely used in many fields; this paper introduces this theory into a model for a pedestrian navigation system. Based on the model, several feedback channels are designed and analysed using control theory. The pedestrian is not only a data receiver but also a data collector. All collected information is stored in a temporal database and can be used for spatial-temporal analysis. At the same time, feedback control theory can integrate all modules of the system as whole, which can help to improve the overall effectiveness. Based on information fed back and feedback control theory, the pedestrian navigation system will help users to "see more, understand better, and decide more quickly.

An expert system based on 1 H NMR spectroscopy for quality evaluation and adulteration identification of edible oils

Abstract(#br)The advantages of nuclear magnetic resonance (NMR) such as nondestructive and simultaneous detection, high reproducibility and rapidity make it easily develop the objective and credible methods for food analysis and identification. In this study, we developed a computer-aided, MATLAB-scripted expert system which enables NMR data to distinguish different edible oils and evaluate the quality of edible oils. The NMR spectral data of seven species of most popular vegetable edible oils in China were used to establish the assessment criterions including the content percentage of fatty acids and the quality parameters of edible oils. In our case, the identification accuracy of vegetable origin for the pure edible oils is 95.83% and that for the mixed edible oils is 89.58%, and all the recycled waste cooking oils and fried oils were correctly screened out and identified by the expert system. Further, the quality information of the edible oils was also provided. Our results show that the current expert system is a fast, easy-operated and convenient tool for the adulteration identification and quality control of edible oils

Hemodialysis or Peritoneal Dialysis, Which Is Better for Patients with Delayed Graft Function?

Background/Aims: Hemodialysis (HD) or peritoneal dialysis (PD) is an important renal replacement method in patients with delayed graft function (DGF) after kidney transplantation; however, it is not clear which dialysis modality is superior. This study determined the impact of different dialysis modalities on patients with DGF. Methods: It was a single-center, retrospective and descriptive study. We performed 673 kidney transplants from donors after cardiac death (DCD) between January 2010 and December 2016 at our center and 138 (20.5%) recipients developed DGF after transplantation. We classified the recipients into two groups according to post-transplant dialysis: DGF-HD (n=96) and DGF-PD (n=42). We analyzed the outcomes of the different dialysis modalities 30 days and 1 year post-transplantation. Results: There were no differences in baseline factors between patients with post-transplant HD (n = 96) or PD (n = 42). There were 10 patients with conversion from PD to HD during DGF. The DGF-PD patients had a higher rate of treatment failure than the DGF-HD patients (23.8% vs. 0%, p < 0.001), peritonitis (7.1% vs. 0%, p = 0.027), and longer duration of dialysis dependence (10.5 vs. 9 days, p = 0.003). There was no statistically significant difference between both groups with respect to acute rejection, hemorrhage, and patient and graft survival at 1 year. Conclusion: In renal transplant recipients with DGF, post-transplant PD led to increased treatment failure. PD did not result in rapid recovery of transplanted renal function, and had a high probability of peritonitis

A Fast Decline of Residual Renal Function in the First Year is a Predictor for Early Withdrawal from Peritoneal Dialysis in Non-Diabetic Patients

Background/Aims: Little is known about the relationship between residual renal function (RRF) decline in early period and survival in non-diabetic peritoneal dialysis (PD) patients. Methods: A total of 567 non-diabetic patients who began PD from January 1, 2005 to June 30, 2013 was investigated. The rate of RRF decline was determined by the “slope of the trend equation” of serial RRFs. A composite end-point of all-cause mortality and conversion to hemodialysis (HD) was used, survival status was censored on June 30, 2016. Results: The median of “the slope of RRF decline equation” was 0.308 (0.001-2.111) ml/min/1.73 m2/ month. In the median follow-up period of 43 months (range 12 to 120 months), 65 (11.5%) patients died, 90 (15.9%) patients converted to HD and 171 (30.2%) patients received kidney transplantation. Multivariate linear regression showed male, high baseline RRF, high baseline peritoneal Kt/V urea, low serum albumin and low uric acid were independently associated with the rate of RRF decline in the first year of PD. Multivariate Cox models revealed that RRF decline in the first year remained a predictor for composite end-point (HR, 2.74, 95% CI, 1.53 to 4.90, P=0.001). The patients were divided into high RRF decline group (> 0.308ml/ min/1.73m2/month) and low RRF decline group (≤0.308 ml/min/1.73m2/month). In the first three years of PD, the rate of end-point events was higher in high RRF decline group (23.2%) than that in low RRF decline group (11.0%) (P< 0.001). There were 189 patients in low RRF decline group and 171 patients in high RRF decline group maintaining PD for more than 3 years, in a median follow-up of 54 months (range 37 to 120 months), the survival rate was 30.9% in high RRF decline group and 46.4% in low RRF decline group (P=0.883). In high RRF decline group, there were 92 patients reaching composited end-point and 112 patients maintaining PD; multivariate Cox model showed high peritoneal Kt/V urea after 1 year of PD and high albumin level were protective factors (HR, 0.29, 95% CI, 0.13 to 0.61, P= 0.001; HR, 0.94, 95% CI, 0.90-0.99, P=0.022, respectively), while fast RRF decline remained risk factor for composite end-point (HR, 3.28, 95% CI,1.48-7.31, P=0.004). Conclusion: A faster RRF decline in the first year was a predictor for all-cause mortality and conversion to HD in non-diabetic PD patients, mainly in the first three year. For patients with faster RRF decline, increasing PD dose was effective to improve survival

The First Release of the CSTAR Point Source Catalog from Dome A, Antarctica

In 2008 January the 24th Chinese expedition team successfully deployed the Chinese Small Telescope ARray (CSTAR) to DomeA, the highest point on the Antarctic plateau. CSTAR consists of four 14.5cm optical telescopes, each with a different filter (g, r, i and open) and has a 4.5degree x 4.5degree field of view (FOV). It operates robotically as part of the Plateau Observatory, PLATO, with each telescope taking an image every 30 seconds throughout the year whenever it is dark. During 2008, CSTAR #1 performed almost flawlessly, acquiring more than 0.3 million i-band images for a total integration time of 1728 hours during 158 days of observations. For each image taken under good sky conditions, more than 10,000 sources down to 16 mag could be detected. We performed aperture photometry on all the sources in the field to create the catalog described herein. Since CSTAR has a fixed pointing centered on the South Celestial Pole (Dec =-90 degree), all the sources within the FOV of CSTAR were monitored continuously for several months. The photometric catalog can be used for studying any variability in these sources, and for the discovery of transient sources such as supernovae, gamma-ray bursts and minor planets.Comment: 1 latex file and 9 figures The paper is accepted by PAS