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| 1 | Paleoclimate Modeling in China: A Review显示文摘This paper provides a review of paleoclimate modeling activities in China. Rather than attempt to cover all topics, we have chosen a few climatic intervals and events judged to be particularly informative to the international community. In historical climate simulations, changes in solar radiation and volcanic activity explain most parts of reconstructions over the last millennium prior to the industrial era, while atmospheric greenhouse gas concentrations play the most important role in the20 th century warming over China. There is a considerable model–data mismatch in the annual and boreal winter temperature change over China during the mid-Holocene [6000 years before present(ka BP)], while coupled models with an interactive ocean generally perform better than atmospheric models. For the Last Glacial Maximum(21 ka BP), climate models successfully reproduce the surface cooling trend over China but fail to reproduce its magnitude, with a better performance for coupled models. At that time, reconstructed vegetation and western Pacific sea surface temperatures could have significantly affected the East Asian climate, and environmental conditions on the Qinghai–Tibetan Plateau were most likely very different to the present day. During the late Marine Isotope Stage 3(30–40 ka BP), orbital forcing and Northern Hemisphere glaciation, as well as vegetation change in China, were likely responsible for East Asian climate change. On the tectonic scale,the Qinghai–Tibetan Plateau uplift, the Tethys Sea retreat, and the South China Sea expansion played important roles in the formation of the East Asian monsoon-dominant environment pattern during the late Cenozoic. | JIANG Dabang YU Ge ZHAO Ping CHEN Xing LIU Jian LIU Xiaodong WANG Shaowu ZHANG Zhongshi YU Yongqiang LI Yuefeng JIN Liya XU Ying JU Lixia ZHOU Tianjun YAN Xiaodong | 2015 | Advances in Atmospheric Sciences2015，32，2： | 12 |
| 2 | Tocilizumab in patients with moderate or severe COVID-19: a randomized, controlled, open-label, multicenter trial显示文摘Tocilizumab has been reported to attenuate the“cytokine storm”in COVID-19 patients.We attempted to verify the effectiveness and safety of tocilizumab therapy in COVID-19 and identify patients most likely to benefit from this treatment.We conducted a randomized,controlled,open-label multicenter trial among COVID-19 patients.The patients were randomly assigned in a 1:1 ratio to receive either tocilizumab in addition to standard care or standard care alone.The cure rate,changes of oxygen saturation and interference,and inflammation biomarkers were observed.Thirty-three patients were randomized to the tocilizumab group,and 32 patients to the control group.The cure rate in the tocilizumab group was higher than that in the control group,but the difference was not statistically significant(94.12%vs.87.10%,rate difference 95%CI−7.19%–21.23%,P=0.4133).The improvement in hypoxia for the tocilizumab group was higher from day 4 onward and statistically significant from day 12(P=0.0359).In moderate disease patients with bilateral pulmonary lesions,the hypoxia ameliorated earlier after tocilizumab treatment,and less patients(1/12,8.33%)needed an increase of inhaled oxygen concentration compared with the controls(4/6,66.67%;rate difference 95%CI−99.17%to−17.50%,P=0.0217).No severe adverse events occurred.More mild temporary adverse events were recorded in tocilizumab recipients(20/34,58.82%)than the controls(4/31,12.90%).Tocilizumab can improve hypoxia without unacceptable side effect profile and significant influences on the time virus load becomes negative.For patients with bilateral pulmonary lesions and elevated IL-6 levels,tocilizumab could be recommended to improve outcome. | Dongsheng Wang Binqing Fu Zhen Peng Dongliang Yang Mingfeng Han Min Li Yun Yang Tianjun Yang Liangye Sun Wei Li Wei Shi Xin Yao Yan Ma Fei Xu Xiaojing Wang Jun Chen Daqing Xia Yubei Sun Lin Dong Jumei Wang Xiaoyu Zhu Min Zhang Yonggang Zhou Aijun Pan Xiaowen Hu Xiaodong Mei Haiming Wei Xiaoling Xu | 2021 | Frontiers of Medicine2021，15，3： | 2 |
| 3 | Stable PbS colloidal quantum dot inks enable blade‑coating infrared solar cells显示文摘Infrared solar cells are more efective than normal bandgap solar cells at reducing the spectral loss in the near-infrared region,thus also at broadening the absorption spectra and improving power conversion efciency.PbS colloidal quantum dots(QDs)with tunable bandgap are ideal infrared photovoltaic materials.However,QD solar cell production sufers from small-areabased spin-coating fabrication methods and unstable QD ink.Herein,the QD ink stability mechanism was fully investigated according to Lewis acid–base theory and colloid stability theory.We further studied a mixed solvent system using dimethylformamide and butylamine,compatible with the scalable manufacture of method-blade coating.Based on the ink system,100 cm2 of uniform and dense near-infrared PbS QDs(~0.96 eV)flm was successfully prepared by blade coating.The average efciencies of above absorber-based devices reached 11.14%under AM1.5G illumination,and the 800 nm-fltered efciency achieved 4.28%.Both were the top values among blade coating method based devices.The newly developed ink showed excellent stability,and the device performance based on the ink stored for 7 h was similar to that of fresh ink.The matched solvent system for stable PbS QD ink represents a crucial step toward large area blade coating photoelectric devices. | Xinzhao Zhao Mingyu Li Tianjun Ma Jun Yan Gomaa Mohamed Gomaa Khalaf Chao Chen Hsien‑Yi Hsu Haisheng Song Jiang Tang | 2023 | Frontiers of Optoelectronics2023，16，3： | 0 |
| 4 | Unraveling templated-regulated distribution of isolated SiO_(4) tetrahedra in silicoaluminophosphate zeolites with high-throughput computations显示文摘Silicoaluminophosphate(SAPO)zeolites are well-known catalytic materials because of the mild acidity originating from the isolated SiO_(4) tetrahedra in their frameworks.Regulating the distribution of isolated SiO_(4) tetrahedra in SAPO zeolites is formidably challenging because SiO_(4) tetrahedra tend to agglomerate to form Si islands and the isolated SiO_(4) tetrahedra are difficult to determine using conventional characterization techniques.Here we synthesized Si-island-free SAPO-35 zeolites by using N-methylpiperidine as a new template,which exhibited excellent thermal stability compared to conventional SAPO-35 zeolites and a substantially improved methanol-to-olefins catalytic lifetime even comparable to that of commercial SAPO-34 zeolites.More strikingly,with the aid of high-throughput computations on 44697 structure models combined with various state-of-the-art characterization techniques,for the first time,we reveal that the host–guest interactions between template molecules and SAPO frameworks determine the specific distributions of isolated SiO_(4) tetrahedra,which are responsible for the improvement in the chemical properties of zeolites.Our work provides an insight into the template-based regulation of isolated SiO_(4) tetrahedra in SAPO zeolites,which opens a new avenue in the discovery of promising zeolite catalysts with optimal SiO_(4) distribution. | Yan Li Chao Shi Lin Li Guoju Yang Junyan Li Jun Xu Qinfen Gu Xingxing Wang Ji Han Tianjun Zhang Yi Li Jihong Yu | 2022 | National Science Review2022，9，9： | 0 |
| 5 | Rock mass quality classification based on deep learning:A feasibility study for stacked autoencoders显示文摘Objective and accurate evaluation of rock mass quality classification is the prerequisite for reliable sta-bility assessment.To develop a tool that can deliver quick and accurate evaluation of rock mass quality,a deep learning approach is developed,which uses stacked autoencoders(SAEs)with several autoencoders and a softmax net layer.Ten rock parameters of rock mass rating(RMR)system are calibrated in this model.The model is trained using 75%of the total database for training sample data.The SAEs trained model achieves a nearly 100%prediction accuracy.For comparison,other different models are also trained with the same dataset,using artificial neural network(ANN)and radial basis function(RBF).The results show that the SAEs classify all test samples correctly while the rating accuracies of ANN and RBF are 97.5%and 98.7%,repectively,which are calculated from the confusion matrix.Moreover,this model is further employed to predict the slope risk level of an abandoned quarry.The proposed approach using SAEs,or deep learning in general,is more objective and more accurate and requires less human inter-vention.The findings presented here shall shed light for engineers/researchers interested in analyzing rock mass classification criteria or performing field investigation. | Danjie Sheng Jin Yu Fei Tan Defu Tong Tianjun Yan Jiahe Lv | 2023 | Journal of Rock Mechanics and Geotechnical Engineering2023，15，7： | 0 |
| 6 | Chemical vapor deposition synthesis of two-dimensional freestanding transition metal oxychloride for electronic applications显示文摘Two-dimensional transition metal oxychlorides(MOCl, M = Fe, Cr, V, Ti, Sc) with the metaloxygen plane sandwiched by two layers of chloride ions possess many exotic physical properties. Nevertheless,it is of great challenge to grow two-dimensional single-crystal MOCl because polyvalent nature of transition metal elements usually gives rise to mixed oxyhalides compounds with distinct physical properties. Here, we take VOCl as an example to present a solution for synthesizing 2 D freestanding MOCl with various thicknesses through chemical vapor deposition(CVD) method. The single crystal and elementary composition as well as elements ratio of as-grown samples have been characterized through measurements of X-ray diffraction, X-ray photoelectron spectroscopy and energy-dispersive spectroscopy, respectively. Furthermore, we demonstrate that 2 D VOCl-based memristive devices show low power consumption and excellent device reliability due to the layered-structure and electrically insulating properties of 2 D VOCl flakes. Besides, we utilize the feature of multilevel resistive switching that memristive devices exhibit to emulate depression and potentiation of synaptic plasticity. This method developed in this study may open up a new avenue for the growth of 2 D MOCl with single crystal and pave the way for high-performance electronic applications. | Shengnan YAN Pengfei WANG Chen-Yu WANG Tao XU Zhuan LI Tianjun CAO Moyu CHEN Chen PAN Bin CHENG Litao SUN Shi-Jun LIANG Feng MIAO | 2019 | Science China(Information Sciences)2019，62，12： | 0 |
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