A Calibration Method for Wide Field Multicolor Photometric System

The purpose of this paper is to present a method to self-calibrate the spectral energy distribution (SED) of objects in a survey based on the fitting of an SED library to the observed multi-color photometry. We adopt for illustrative purposes the Vilnius (Strizyz and Sviderskiene 1972) and Gunn & Stryker (1983) SED libraries. The self-calibration technique can improve the quality of observations which are not taken under perfectly photometric conditions. The more passbands used for the photometry, the better the results. This technique has been applied to the BATC 15-passband CCD survey.Comment: LateX file, 1 PS file, submitted to PASP number 99-025 The English has been improved and some mistakes have been correcte

Few-shot Image Generation via Masked Discrimination

Few-shot image generation aims to generate images of high quality and great diversity with limited data. However, it is difficult for modern GANs to avoid overfitting when trained on only a few images. The discriminator can easily remember all the training samples and guide the generator to replicate them, leading to severe diversity degradation. Several methods have been proposed to relieve overfitting by adapting GANs pre-trained on large source domains to target domains with limited real samples. In this work, we present a novel approach to realize few-shot GAN adaptation via masked discrimination. Random masks are applied to features extracted by the discriminator from input images. We aim to encourage the discriminator to judge more diverse images which share partially common features with training samples as realistic images. Correspondingly, the generator is guided to generate more diverse images instead of replicating training samples. In addition, we employ cross-domain consistency loss for the discriminator to keep relative distances between samples in its feature space. The discriminator cross-domain consistency loss serves as another optimization target in addition to adversarial loss and guides adapted GANs to preserve more information learned from source domains for higher image quality. The effectiveness of our approach is demonstrated both qualitatively and quantitatively with higher quality and greater diversity on a series of few-shot image generation tasks than prior methods

Correlation between toll-like receptor 9 expression in peripheral blood dendritic cells and interferon-α antiviral sustained virological response in patients with chronic hepatitis B

Purpose: To investigate the link between dendritic cells (DC cells), toll-like receptor 9 (TLR9) and tumor necrosis factor-α (TFN-α) expressions in peripheral blood of patients with chronic hepatitis B (CHB).Methods: Peripheral blood mononuclear cells (PBMC) and CD cells were prepared from CHB patients and healthy volunteers, and the cell  proliferation was assessed. The surface expressions of CD83, CD86, CD40 and human leukocyte antigen DR (HLA-DR) on DC cells were assayed by flow cytometry, while the expressions of mRNAs of TLR9, MyD88 and NF-κB in each cell-group were determined by fluorescent quantitation PCR. Protein expressions of TLR9, MyD88 and NF-κB were analyzed by Western blot.Results: The rate of proliferation of DC cells in the CHB patients was slower than the rate in healthy volunteers (p < 0.05), and the expression of co-stimulatory molecules was significantly lower in CHB patients than in healthy volunteers (p < 0.05). The ability to stimulate T-lymphocyte proliferation of the CHB-DC group was much weaker than that of the D-NC group (p < 0.05). In fluorescent quantitation assays, the relative expressions of mRNAs of TLR9, MyD88 and NF-κB in cells of CpG-Stimulate ODN (CpG-S ODN) group were higher than those of the control group (p < 0.05), but the relative expressions of mRNAs of TLR9, MyD88 and NF-κB in the cells of the CpG-S ODN group were significantly lower (p < 0.05). Moreover, IFN-α level in the CpG-S ODN group was much higher than that in the control group (t = 6.633, p = 0.014 < 0.05). However, results from  Western blot showed that the relative expressions of TLR9, MyD88 and NF-κB in the CpG-S ODN group were lower than in the control group (p < 0.05).Conclusion: These results indicate that TLR9 on the surface of DC cells of CHB patients can eliminate HBV by generating IFN-α via regulation of MyD88 and NF-κB.Keywords: Chronic hepatitis B, Dendritic cells, TLR9, IFN-

Multicolor photometry of the galaxies in the central region of Abell 2634

An optical photometric observation with the BATC multicolor system is carried out for the central 56' x 56' region of the nearby cluster of galaxies, Abell 2634. We achieved the spectral energy distributions (SEDs) of 5572 sources detected down to $V \sim 20$ mag, including 178 previously known galaxies, with fourteen filters covering a wavelength range from 3600 \AA\ to 10000 \AA. After excluding the foreground and background galaxies, a sample of 124 known members is formed for an investigation of the SED properties. Based on the knowledge of SED properties of member galaxies, we performed the selection of faint galaxies belonging to Abell 2634. The color-color diagrams are powerful in the star/galaxy separation, and 359 faint galaxies are selected by their color features. The technique of photometric redshift and color-magnitude correlation for the early-type galaxies are applied for these faint galaxies, and a list of 74 faint member galaxies is achieved. Basis on the enlarged sample of member galaxies, the spatial distribution and color-magnitude relation of the galaxies in core region of Abell 2634 are discussed. We find a tendency that the color index dispersion of the early-type members is larger for the outer region, which might reflect some clues about the environmental effect on the evolution of galaxies in a cluster.Comment: 35 pages, 21 Postscript figures and tables, LaTeX, using aasms4.st

Multimodal sentiment analysis with image-text interaction network

More and more users are getting used to posting images and text on social networks to share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a research topic of increasing interest in recent years. Typically, there exist affective regions that evoke human sentiment in an image, which are usually manifested by corresponding words in peoples comments. Similarly, people also tend to portray the affective regions of an image when composing image descriptions. As a result, the relationship between image affective regions and the associated text is of great significance for multimodal sentiment analysis. However, most of the existing multimodal sentiment analysis approaches simply concatenate features from image and text, which could not fully explore the interaction between them, leading to suboptimal results. Motivated by this observation, we propose a new image-text interaction network (ITIN) to investigate the relationship between affective image regions and text for multimodal sentiment analysis. Specifically, we introduce a cross-modal alignment module to capture region-word correspondence, based on which multimodal features are fused through an adaptive cross-modal gating module. Moreover, considering the complementary role of context information on sentiment analysis, we integrate the individual-modal contextual feature representations for achieving more reliable prediction. Extensive experimental results and comparisons on public datasets demonstrate that the proposed model is superior to the state-of-the-art methods

Laboratory Study on Properties of Diatomite and Basalt Fiber Compound Modified Asphalt Mastic

In order to improve the performance of asphalt mastic, some researchers have added diatomite or basalt fiber as a modifier to the asphalt mastic, and the results show that some properties of the asphalt mastic were improved. For the simultaneous addition of diatomite and basalt fiber, two kinds of modifier, compound modified asphalt mastic had not been reported; in this paper, thirteen groups of diatomite and basalt fiber (DBFCMAM) compound modified asphalt mastic with different content were prepared to study the performance. Softening point, cone penetration, viscosity, and DSR tests were conducted, for the high temperature performance evaluation of DBFCMAM, whereas force ductility and BBR tests were used in the low temperature performance study of the DBFCMAM. The results demonstrated that the high temperature performance of DBFCMAM was increased; moreover, the low temperature performance of DBFCMAM improved by diatomite and basalt fiber according to the results of the force ductility test; however, the conclusion of the BBR test data was inconsistent with the force ductility test. In summary, the high temperature and low temperature properties of DBFCMAM had been improved