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| 1 | 16S ribosomal DNA clone libraries to reveal bacterial diversity in anaerobic reac- tor - degraded tetrabromobisphenol A 显示文摘 | Xingxing Peng Zaili Zhang Ziling Zhao | 2012 | Bioresource Technolo- gy2012，112，5： | 1 |
| 2 | Chaperone-mediated Autophagy Regulates Cell Growth by Targeting SMAD3 in Glioma显示文摘Previous studies suggest that the reduction of SMAD3(mothers against decapentaplegic homolog 3)has a great impact on tumor development,but its exact pathological function remains unclear.In this study,we found that the protein level of SMAD3 was greatly reduced in human-grade IV glioblastoma tissues,in which LAMP2A(lysosome-associated membrane protein type 2A)was significantly up-regulated.LAMP2A is a key ratelimiting protein of chaperone-mediated autophagy(CMA),a lysosome pathway of protein degradation that is activated in glioma.We carefully analyzed the amino-acid sequence of SMAD3 and found that it contained a pentapeptide motif biochemically related to KFERQ,which has been proposed to be a targeting sequence for CMA.In vitro,we confirmed that SMAD3 was degraded in either serum-free or KFERQ motif deleted condition,which was regulated by LAMP2A and interacted with HSC70(heat shock cognate 71 kDa protein).Using isolated lysosomes,amino-acid residues 75 and 128 of SMAD3 were found to be of importance for this process,which affected the CMA pathway in which SMAD3 was involved.Similarly,down-regulating SMAD3 or up-regulating LAMP2A in cultured glioma cells enhanced their proliferation and invasion.Taken together,these results suggest that excessive activation of CMA regulates glioma cell growth by promoting the degradation of SMAD3.Therefore,targeting the SMAD3-LAMP2Amediated CMA-lysosome pathway may be a promising approach in anti-cancer therapy. | Hanqun Liu Yuxuan Yong Xingjian Li Panghai Ye Kai Tao Guoyou Peng Mingshu Mo Wenyuan Guo Xiang Chen Yangfu Luo Yuwan Lin Jiewen Qiu Ziling Zhang Liuyan Ding Miaomiao Zhou Xinling Yang Lin Lu Qian Yang Pingyi Xu | 2022 | Neuroscience Bulletin2022，38，6： | 0 |
| 3 | Cleaner geopolymer prepared by co-activation of gasification coal fly ash and steel slag:durability properties and economic assessment显示文摘Geopolymer is a material with high early strength.However,the insufficient durability properties,such as long-term strength,acid-base resistance,freeze-thaw resistance,leaching toxicity,thermal stability,sulfate resistance and carbonation resistance,restrain its practical application.Herein,a longterm stable geopolymer composite with high final strength(ASK1)was synthesized from shell coal gasification fly ash(SFA)and steel slag(SS).Additionally,a geopolymer composite with high early strength(ASK2)was also synthesized for comparison.The results showed that ASK1 exhibited better performance on freezing-thawing resistance,carbonization resistance and heavy metals stabilization compared to the ASK2 at long-term curing.Raising the curing temperature could accelerate the unconfined compressive strength(UCS)development at initial curing ages of 3 to 7 d.Both ASK1 and ASK2 exhibited excellent acid-base and sulfate corrosion resistance.An increase for UCS was seen under KOH solution and MgSO_(4)solution corrosion for ASK1.All leaching concentrations of heavy metals out of the two geopolymers were below the standard threshold,even after 50 freezingthawing cycles.Both ASK1 and ASK2 geopolymer concrete exhibited higher sustainability and economic efficiency than Portland cement concrete.The result of this study not only provides a suitable way for the utilization of industrial solid waste in civil and environmental engineering,but also opens a new approach to improve the long-term stabilities of the geopolymers. | Xian Zhou Xia Chen Ziling Peng Yongmen Zhou Yan Li Wang Jian Zeyu Fan Yuchi Chen | 2023 | Frontiers of Environmental Science & Engineering2023，17，12： | 0 |
| 4 | Facial-sketch Synthesis:A New Challenge显示文摘This paper aims to conduct a comprehensive study on facial-sketch synthesis(FSS).However,due to the high cost of obtaining hand-drawn sketch datasets,there is a lack of a complete benchmark for assessing the development of FSS algorithms over the last decade.We first introduce a high-quality dataset for FSS,named FS2K,which consists of 2104 image-sketch pairs spanning three types of sketch styles,image backgrounds,lighting conditions,skin colors,and facial attributes.FS2K differs from previous FSS datasets in difficulty,diversity,and scalability and should thus facilitate the progress of FSS research.Second,we present the largest-scale FSS investigation by reviewing 89 classic methods,including 25 handcrafted feature-based facial-sketch synthesis approaches,29 general translation methods,and 35 image-to-sketch approaches.In addition,we elaborate comprehensive experiments on the existing 19 cutting-edge models.Third,we present a simple baseline for FSS,named FSGAN.With only two straightforward components,i.e.,facialaware masking and style-vector expansion,our FSGAN surpasses the performance of all previous state-of-the-art models on the proposed FS2K dataset by a large margin.Finally,we conclude with lessons learned over the past years and point out several unsolved challenges.Our code is available at http://gffzz188fe103f8f1460asnvnw509u6p0v6n9v.ffgz.tsg.suse.edu.cn/DengPingFan/FSGAN. | Deng-Ping Fan Ziling Huang Peng Zheng Hong Liu Xuebin Qin Luc Van Gool | 2022 | Machine Intelligence Research2022，19，4： | 0 |
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