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| 1 | Trending IC design directions in 2022显示文摘For the non-stop demands for a better and smarter society, the number of electronic devices keeps increasing exponentially;and the computation power, communication data rate, smart sensing capability and intelligence are always not enough. Hardware supports software, while the integrated circuit(IC) is the core of hardware. In this long review paper, we summarize and discuss recent trending IC design directions and challenges, and try to give the readers big/cool pictures on each selected small/hot topics. We divide the trends into the following six categories, namely, 1) machine learning and artificial intelligence(AI) chips, 2) communication ICs, 3) data converters, 4) power converters, 5) imagers and range sensors, 6) emerging directions. Hope you find this paper useful for your future research and works. | Chi-Hang Chan Lin Cheng Wei Deng Peng Feng Li Geng Mo Huang Haikun Jia Lu Jie Ka-Meng Lei Xihao Liu Xun Liu Yongpan Liu Yan Lu Kaiming Nie Dongfang Pan Nan Qi Sai-Weng Sin Nan Sun Wenyu Sun Jiangtao Xu Jinshan Yue Milin Zhang Zhao Zhang | 2022 | Journal of Semiconductors2022，43，7： | 3 |
| 2 | Exploring HONO formation and its role in driving secondary pollutants formation during winter in the North China Plain显示文摘Daytime HONO photolysis is an important source of atmospheric hydroxyl radicals(OH).Knowledge of HONO formation chemistry under typical haze conditions,however,is still limited.In the Multiphase chemistry experiment in Fogs and Aerosols in the North China Plain in 2018,we investigated the wintertime HONO formation and its atmospheric implications at a rural site Gucheng.Three different episodes based on atmospheric aerosol loading levels were classified:clean periods(CPs),moderately polluted periods(MPPs)and severely polluted periods(SPPs).Correlation analysis revealed that HONO formation via heteroge.neous conversion of NO_(2)was more efficient on aerosol surfaces than on ground,highlighting the important role of aerosols in promoting HONO formation.Daytime HONO budget analysis indicated a large missing source(with an average production rate of 0.66±0.26,0.97±0.47 and 1.45±0.55 ppbV/hr for CPs,MPPs and SPPs,respectively),which strongly correlated with photo-enhanced reactions(NO_(2)heterogeneous reaction and particulate nitrate photolysis).Average OH formation derived from HONO photolysis reached up to(0.92±0.71),(1.75±1.26)and(1.82±1.47)ppbV/hr in CPs,MPPs and SPPs respectively,much higher than that from O3 photolysis(i.e.,(0.004±0.004),(0.006±0.007)and(0.0035±0.0034)ppbV/hr).Such high OH production rates could markedly regulate the atmospheric oxidation capacity and hence promote the formation of secondary aerosols and pollutants. | Shaobin Zhang Guo Li Nan Ma Yao He Shaowen Zhu Xihao Pan Wenlin Dong Yanyan Zhang Qingwei Luo Jeannine Ditas Uwe Kuhn Yuxuan Zhang Bin Yuan Zelong Wang Peng Cheng Juan Hong Jiangchuan Tao Wanyun Xu Ye Kuang Qiaoqiao Wang Yele Sun Guangsheng Zhou Yafang Cheng Hang Su | 2023 | Journal of Environmental Sciences2023，，10： | 0 |
| 3 | BiodMHC:an online server for the prediction of MHC class Ⅱ-peptide binding affinity显示文摘Effective identification of major histocompatibility complex (MHC) molecules restricted peptides is a critical step in discovering immune epitopes. Although many online servers have been built to predict class Ⅱ MHC-peptide binding affinity, they have been trained on different datasets, and thus fail in providing a unified comparison of various methods. In this paper, we present our implementation of seven popular predictive methods, namely SMM-align, ARB, SVR-pairwise, Gibbs sampler, ProPred, LP-top2, and MHCPred, on a single web server named BiodMHC (http://biod.whu.edu.cn/BiodMHC/index.html, the software is available upon request). Using a standard measure of AUC (Area Under the receiver operating characteristic Curves), we compare these methods by means of not only cross validation but also prediction on independent test datasets. We find that SMM-align, ProPred, SVR-pairwise, ARB, and Gibbs sampler are the five best-performing methods. For the binding affinity prediction of class Ⅱ MHC-peptide, BiodMHC provides a convenient online platform for researchers to obtain binding information simultaneously using various methods. | Lian Wang Danling Pan Xihao Hu Jinyu Xiao Yangyang Gao Huifang Zhang Yan Zhang Juan Liu Shanfeng Zhu | 2009 | Journal of Genetics and Genomics2009，36，5： | 0 |
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