1,570 research outputs found
A Sample of Quasars with Strong Nitrogen Emission Lines from the Sloan Digital Sky Survey
We report on 293 quasars with strong NIV] lambda 1486 or NIII] lambda 1750
emission lines (rest-frame equivalent width > 3 \AA) at 1.7 < z < 4.0 selected
from the Sloan Digital Sky Survey (SDSS) Fifth Data Release. These
nitrogen-rich (N-rich) objects comprise ~1.1% of the SDSS quasars. The
comparison between the N-rich quasars and other quasars shows that the two
quasar subsets share many common properties. We also confirm previous results
that N-rich quasars have much stronger Lya and NV lambda 1240 emission lines.
Strong nitrogen emission in all ionization states indicates high overall
nitrogen abundances in these objects. We find evidence that the nitrogen
abundance is closely related to quasar radio properties. The radio-loud
fraction in the NIII]-rich quasars is 26% and in the NIV]-rich quasars is 69%,
significantly higher than ~8% measured in other quasars with similar redshift
and luminosity. Therefore, the high nitrogen abundance in N-rich quasars could
be an indicator of a special quasar evolution stage, in which the radio
activity is also strong.Comment: 8 pages, 4 figures; accepted by ApJ (ApJ June 10, 2008, v680 n1
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UVA Assisted 4-Thiothymidine for Cancer Treatment
This article reviews the developments of 4-thiothymidine analogues, assisted with UVA light, as a novel cancer therapy. First, the key points on synthetic chemistry, photochemistry and cellular toxicity of 4-thiothymidine are summarized. As the chemical structure of 4-thiothymidine is very similar to that of its parent thymidine, thus 4-thiothymidine can be readily incorporated into cellular DNA, and with the help of thymidine kinase, much more preferably into cancerous DNA. Unlike thymidine, 4-thiothymdine can absorb strongly in UVA (longer wavelengths of UV) light. Thus UVA-assisted 4-thiothymidine offers an effective cancer treatment. Some underlying mechanisms of action by 4-thiothymidine/UVA and compares this cancer approach with the commonly used photodynamic therapy are discussed. The various interactions between 4-thiothymidine with human serum albumin are introduced. Finally, a short conclusion on the past efforts and a brief prospect for future work in this exciting research field are given
CD147 promotes melanoma cell growth via SOX4-mediated glycolytic metabolism
Purpose: To determine the functional roles of cluster of differentiation 147 (CD147) in glycolysis in melanoma cells.Methods: CD147 expression in melanoma tissue and adjacent normal tissue was determined using quantitative real time polymrase chain reaction (qRT-PCR) and immunohistochemistry. Cell Counting Kit-8 (CCK-8) and colony formation assays were used to evaluate cell viability and colony formation, respectively. The role of CD147 in glycolysis in melanoma cells was investigated by determining glucose uptake, production of lactate, and cellular level of ATP.Results: CD147 was enhanced more in melanoma tissue than that in the adjacent normal tissue (p < 0.001). CD147 overexpression promoted the viability and colony formation of melanoma cells. On the other hand, CD147 silencing decreased the viability and colony formation of melanoma cells. Glucose uptake, production of lactate, and cellular level of ATP were upregulated in melanoma cells by CD147 overexpression and downregulated by shRNA-mediated depletion of CD147. CD147 increased expression of C-X-C motif chemokine ligand 1 (CXCL1) to activate the sex-determining region Y-related high-mobility group box 4 (SOX4) pathway. Knockdown of CXCL1 attenuated the positive regulatory effect of CD147 on SOX4. Besides, overexpression of SOX4 reversed the suppressive effects of CD147 silencing on melanoma cell viability, colony formation, and glycolysis.Conclusion: CD147 contributes to melanoma cell growth via upregulation of SOX-mediated glycolysis, thus providing a therapeutic avenue for the management of melanoma.
Keywords: Cluster of differentiation 147, CD147, Sex-determining region Y-related high-mobility group box 4, Melanoma, Cell growth, Glycolysi
Automatic Target Recognition Strategy for Synthetic Aperture Radar Images Based on Combined Discrimination Trees
A strategy is introduced for achieving high accuracy in synthetic aperture radar (SAR) automatic target recognition (ATR) tasks. Initially, a novel pose rectification process and an image normalization process are sequentially introduced to produce images with less variations prior to the feature processing stage. Then, feature sets that have a wealth of texture and edge information are extracted with the utilization of wavelet coefficients, where more effective and compact feature sets are acquired by reducing the redundancy and dimensionality of the extracted feature set. Finally, a group of discrimination trees are learned and combined into a final classifier in the framework of Real-AdaBoost. The proposed method is evaluated with the public release database for moving and stationary target acquisition and recognition (MSTAR). Several comparative studies are conducted to evaluate the effectiveness of the proposed algorithm. Experimental results show the distinctive superiority of the proposed method under both standard operating conditions (SOCs) and extended operating conditions (EOCs). Moreover, our additional tests suggest that good recognition accuracy can be achieved even with limited number of training images as long as these are captured with appropriately incremental sample step in target poses
Research on Cooperative Innovation Behavior of Industrial Cluster Based on Subject Adaptability
From the perspective of the interactive cooperation among subjects, this paper portrays the process of cooperative innovation in industrial cluster, in order to capture the correlated equilibrium relationship among them. Through the utilization of two key tools, evolutionary stable strategy and replicator dynamics equations, this paper considers the cost and gains of cooperative innovation and the amount of government support as well as other factors to build and analyze a classic evolutionary game model. On this basis, the subject’s own adaptability is introduced, which is regarded as the system noise in the stochastic evolutionary game model so as to analyze the impact of adaptability on the game strategy selection. The results show that, in the first place, without considering subjects’ adaptability, their cooperation in industrial clusters depends on the cost and gains of innovative cooperation, the amount of government support, and some conditions that can promote cooperation, namely, game steady state. In the second place after the introduction of subjects’ adaptability, it will affect both game theory selection process and time, which means that the process becomes more complex, presents the nonlinear characteristics, and helps them to make faster decisions in their favor, but the final steady state remains unchanged
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection
The dominant multi-camera 3D detection paradigm is based on explicit 3D
feature construction, which requires complicated indexing of local image-view
features via 3D-to-2D projection. Other methods implicitly introduce geometric
positional encoding and perform global attention (e.g., PETR) to build the
relationship between image tokens and 3D objects. The 3D-to-2D perspective
inconsistency and global attention lead to a weak correlation between
foreground tokens and queries, resulting in slow convergence. We propose
Focal-PETR with instance-guided supervision and spatial alignment module to
adaptively focus object queries on discriminative foreground regions.
Focal-PETR additionally introduces a down-sampling strategy to reduce the
consumption of global attention. Due to the highly parallelized implementation
and down-sampling strategy, our model, without depth supervision, achieves
leading performance on the large-scale nuScenes benchmark and a superior speed
of 30 FPS on a single RTX3090 GPU. Extensive experiments show that our method
outperforms PETR while consuming 3x fewer training hours. The code will be made
publicly available.Comment: Tech Repor
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