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| 1 | A de novo Genome of a Chinese Radish Cultivar显示文摘Here, we report a high-quality draft genome of a Chinese radish(Raphanus sativus) cultivar. This draft contains 387.73 Mb of assembled scaffolds, 83.93% of the scaffolds were anchored onto nine pseudochromosomes and 95.09% of 43 240 protein-coding genes were functionally annotated. 184.75 Mb(47.65%) of repeat sequences was identified in the assembled genome. By comparative analyses of the radish genome against 10 other plant genomes, 2 275 genes in 780 gene families were found unique to R. sativus. This genome is a good reference for genomic study and of great value for genetic improvement of radish. | ZHANG Xiaohui YUE Zhen MEI Shiyong QIU Yang YANG Xinhua CHEN Xiaohua CHENG Feng WU Zhangyan SUN Yuyan JING Yi LIU Bo SHEN Di WANG Haiping CUI Na DUAN Yundan WU Jian WANG Jinglei GAN Caixia WANG Jun WANG Xiaowu LI Xixiang | 2015 | Horticultural Plant Journal2015，1，3： | 10 |
| 2 | Sequence stratigraphy, paleogeography, and coal accumulation regularity of major coal-accumulating periods in China显示文摘There are 9 major coal-accumulating periods during geological history in China,including the Early Carboniferous,Late Carboniferous-Early Permian,Middle Permian,Late Permian,Late Triassic,Early-Middle Jurassic,Early Cretaceous,Paleogene and Neogene.The coal formed in these periods were developed in different coal-accumulating areas(CAA)including the North China,South China,Northwest China,Northeast China,the Qinghai–Tibet area,and China offshore area.In this paper,we investigated depositional environments,sequence stratigraphy,lithofacies paleogeography and coal accumulation pattern of five major coal-accumulating periods including the Late Carboniferous to Middle Permian of the North China CAA,the Late Permian of the South China CAA,the Late Triassic of the South China CAA,the Early-Middle Jurassic of the North and Northwest China CAA,and the Early Cretaceous in the Northeast China CAA.According to distribution of the coal-bearing strata and the regional tectonic outlines,we have identified distribution range of the coal-forming basins,sedimentary facies types and coal-accumulating models.The sequence stratigraphic frameworks of the major coal-accumulating periods were established based on recognition of a variety of sequence boundaries.The distribution of thick coals and migration patterns of the coal-accumulating centers in the sequence stratigraphic framework were analyzed.The lithofacies paleogeography maps based on third-order sequences were reconstructed and the distribution of coal accumulation centers and coal-rich belts were predicted. | Longyi Shao Xuetian Wang Dongdong Wang Mingpei Li Shuai Wang Yingjiao Li Kai Shao Chao Zhang Caixia Gao Daxiao Dong Aiguo Cheng Jing Lu Congwei Ji Di Gao | 2020 | International Journal of Coal Science & Technology2020，7，2： | 9 |
| 3 | Distinct immune signatures discriminate between asymptomatic and presymptomatic SARS-CoV-2^(pos)subjects显示文摘Increasing numbers of SARS-CoV-2-positive(SARS-CoV-2^(pos))subjects are detected at silent SARS-CoV-2 infection stage(SSIS).Yet,SSIS represents a poorly examined time-window wherein unknown immunity patterns may contribute to the fate determination towards persistently asymptomatic or overt disease.Here,we retrieved blood samples from 19 asymptomatic and 12 presymptomatic SARS-COV-2^(pos)subjects,47 age/gender-matched patients with mild or moderate COVID-19 and 27 normal subjects,and interrogated them with combined assays of 44-plex CyTOF,RNA-seq and Olink.Notably,both asymptomatic and presymptomatic subjects exhibited numerous readily detectable immunological alterations,while certain parameters including more severely decreased frequencies of CD107a^(low)classical monocytes,intermediate monocytes,non-classical monocytes and CD62L^(hi)CD8^(+)Tnaive cells,reduced plasma STC1 level but an increased frequency of CD4^(+)NKT cells combined to distinguish the latter.Intercorrelation analyses revealed a particular presymptomatic immunotype mainly manifesting as monocytic overactivation and differentiation blockage,a likely lymphocyte exhaustion and immunosuppression,yielding mechanistic insights into SSIS fate determination,which could potentially improve 5ARS-CoV-2 management. | Shanhe Yu Caixia Di Shijun Chen Mingquan Guo Jiayang Yan Zhaoqin Zhu Li Liu Ruixue Feng Yinyin Xie Ruihong Zhang Juan Chen Mengxi Wang Dong Wei Hai Fang Tong Yin Jinyan Huang Saijuan Chen Hongzhou Lu Jiang Zhu Jieming Qu | 2021 | Cell Research2021，31，11： | 4 |
| 4 | Three-dimensional theoretical analysis of seepage field in front of shield tunnel face显示文摘To evaluate hydraulic head distribution in front of a shield tunnel in a saturated soil layer,theoretical analysis and numerical simulations are carried out in this study.Based on the partial differential equilibrium equation of seepage flow,a three-dimensional(3D)theoretical analytical model of the shield tunnel face and the seepage field in front of it is established using the eigenfunction and the Fourier series expansion methods,and the hydraulic head calculation formula is derived.Combined with engineering cases,the theoretical analysis results and the 3D numerical simulation results are compared and analyzed.The effect of the water pressure of the tunnel face on the hydraulic head distribution is also analyzed.The results of the proposed analytical solution are in agreement with those of the numerical simulation solutions;moreover,the proposed analytical solution requires less time to calculate the seepage hydraulic head than the numerical simulation.The ratio of the initial water table to the diameter(D)of tunnel face has a more significant impact on the hydraulic head distribution at a position 0.5D above the tunnel vault.When the water pressure on the tunnel face is not considered,the values of the hydraulic head are significantly underestimated. | Qiguang Di Pengfei Li Mingju Zhang Caixia Guo Fan Wang Jie Wu | 2022 | Underground Space2022，7，4： | 1 |
| 5 | Comprehensive reutilization of herbal waste:Coproduction of magnolol,honokiol,and β-amyrin from Magnolia officinalis residue显示文摘Herbal extraction residues(HERs)cause serious environmental pollution and resource waste.In this study,a novel green route was designed for the comprehensive reutilization of all components in HERs,taking Magnolia officinalis residues(MOR)as an example.The reluctant structure of MOR was first destroyed by alkali pretreatment to release the functional ingredients(magnolol and honokiol)originally remaining in MOR and to make MOR more accessible for hydrolysis.A metal–organic frame material MIL-101(Cr)with a maximum absorption capacity of 255.64 mg g^(-1)was synthesized to absorb the released honokiol and magnolol from the pretreated MOR solutions,and 40 g L^(-1)reducing sugars were obtained with 81.8%enzymatic hydrolysis rate at 10%MOR solid loading.Finally,382 mg L-1β-amyrin was produced from MOR hydrolysates by an engineered yeast strain.In total,1 kg honokiol,8 kg magnolol,and 7.64 kg β-amyrin could produce from 1 ton MOR by this cleaner process with a total economic output of 170,700 RMB. | Lukun Xiao Anyi Zhao Jie Qiu An Liu Sha Chen Jinzhu Jiang Jun Zhang Cong Guo Jipeng Di Jintang Cheng Chang Chen Kangxin Hou Aiping Zhang Yan Liu Caixia Wang | 2024 | Green Energy & Environment2024，9，2： | 0 |
| 6 | Improved diagnosis of thyroid cancer aided with deep learning applied to sonographic text reports:a retrospective,multi-cohort,diagnostic study显示文摘Objective:Large volume radiological text data have been accumulated since the incorporation of electronic health record(EHR)systems in clinical practice.We aimed to determine whether deep natural language processing algorithms could aid radiologists in improving thyroid cancer diagnosis.Methods:Sonographic EHR data were obtained from the EHR database.Pathological reports were used as the gold standard for diagnosing thyroid cancer.We developed thyroid cancer diagnosis based on natural language processing(THCaDxNLP)to interpret unstructured sonographic text reports for thyroid cancer diagnosis.We used the area under the receiver operating characteristic curve(AUROC)as the primary metric to measure the performance of the THCaDxNLP.We compared the performance of thyroid ultrasound radiologists aided with THCaDxNLP vs.those without THCaDxNLP using 5 independent test sets.Results:We obtained a total number of 788,129 sonographic radiological reports.The number of thyroid sonographic data points was 132,277,18,400 of which were thyroid cancer patients.Among the 5 test sets,the numbers of patients per set were 439,186,82,343,and 171.THCaDxNLP achieved high performance in identifying thyroid cancer patients(the AUROC ranged from 0.857–0.932).Thyroid ultrasound radiologists aided with THCaDxNLP achieved significantly higher performances than those without THCaDxNLP in terms of accuracy(93.8%vs.87.2%;one-sided t-test,adjusted P=0.003),precision(92.5%vs.86.0%;P=0.018),and F1 metric(94.2%vs.86.4%;P=0.007).Conclusions:THCaDxNLP achieved a high AUROC for the identification of thyroid cancer,and improved the accuracy,sensitivity,and precision of thyroid ultrasound radiologists.This warrants further investigation of THCaDxNLP in prospective clinical trials. | Qiang Zhang Sheng Zhang Jianxin Li Yi Pan Jing Zhao Yixing Feng Yanhui Zhao Xiaoqing Wang Zhiming Zheng Xiangming Yang Lixia Liu Chunxin Qin Ke Zhao Xiaonan Liu Caixia Li Liuyang Zhang Chunrui Yang Na Zhuo Hong Zhang Jie Liu Jinglei Gao Xiaoling Di Fanbo Meng Wei Ji Meng Yang Xiaojie Xin Xi Wei Rui Jin Lun Zhang Xudong Wang Fengju Song Xiangqian Zheng Ming Gao Kexin Chen Xiangchun Li | 2022 | Cancer Biology & Medicine2022，19，5： | 0 |
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