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| 1 | Spectral characteristic of infrared radiations of some acupoint and non-acupoint areas in human arm surface显示文摘Using infrared spectrum detective device, we experiment on Neiguan, Laogong and Hegu acupoints of seven adult volunteers as well as contrastive points beside ones. We get 63 infrared spectrums. The experiment outcome tells us that the differences of the intensities among individuals are great, and so are the differences between acupoint and non-acupoint areas. However, the differences of spectral character are small, which indicates that infrared radiations of human body are based on the same biophysical fundament. | DING Guanghong YAO Wei CHU Junhao SHEN Xueyong HUANG Zhiming CHENG Huansheng LIU Hui WANG Shenzhang YANG Jing WEI Hu FEI Lun | 2001 | Chinese Science Bulletin2001，46，8： | 9 |
| 2 | Highly sensitive electrochemical determination of rutin based on the synergistic effect of 3D porous carbon and cobalt tungstate nanosheets显示文摘Rutin,a flavonoid found in fruits and vegetables,is a potential anticancer compound with strong anticancer activity.Therefore,electrochemical sensor was developed for the detection of rutin.In this study,CoWO_(4) nanosheets were synthesized via a hydrothermal method,and porous carbon(PC)was prepared via high-temperature pyrolysis.Successful preparation of the materials was confirmed,and characterization was performed by transmission electron microscopy,scanning electron microscopy,and X-ray photoelectron spectroscopy.A mixture of PC and CoWO_(4) nanosheets was used as an electrode modifier to fabricate the electrochemical sensor for the electrochemical determination of rutin.The 3D CoWO_(4) nanosheets exhibited high electrocatalytic activity and good stability.PC has a high surface-to-volume ratio and superior conductivity.Moreover,the hydrophobicity of PC allows large amounts of rutin to be adsorbed,thereby increasing the concentration of rutin at the electrode surface.Owing to the synergistic effect of the 3D CoWO_(4) nanosheets and PC,the developed electrochemical sensor was employed to quantitively determine rutin with high stability and sensitivity.The sensor showed a good linear range(5-5000 ng/mL)with a detection limit of 0.45 ng/mL.The developed sensor was successfully applied to the determination of rutin in crushed tablets and human serum samples. | Guangjun Feng Yang Yang Jiantao Zeng Jun Zhu Jingjian Liu Lun Wu Zhiming Yang Guanyi Yang Quanxi Mei Qinhua Chen Fengying Ran | 2022 | Journal of Pharmaceutical Analysis2022，12，3： | 1 |
| 3 | Artificial Shiro formation of Tricholoma matsutake显示文摘One type of soil collected from Maoer-shan in Heilongjiang Province,China was selected to induce hyphal growth of Tricholoma matsutake by a soil screening ex-periment.It was confirmed that hyphal growth of all the tested T.matsutake isolates was significantly stimulated in soil by supplemented with 0.5%~2.0%olive oil.The ag-gregation of hyphae and soil resembled natural Shiro.The biomass of hyphae in the soil increases with increasing olive oil concentrations.Moreover,seedlings of Pinus den-siflora grew well in the soil containing 0.5%~1.0%olive oil and were also successfully infected by T.matsutake isolate A in the soil containing 1.0%olive oil.This study estab-lished a culture system of artificial Shiro formation and also provided a premise for formulation of culture substratum for fruit body formation of T.matsutake. | LUN Zhiming LI Yuhua XING Shutang Vaario Lumin | 2006 | Frontiers in Biology2006，1，3： | 0 |
| 4 | Observations of the solar corona during the total solar eclipse on 21 August 2017显示文摘The Sun’s tenuous outer atmosphere,the corona,emits only about one-millionth as much light as the solar surface.In ancient times the corona was observed by human beings only during total solar eclipses,when the strong emission of visible light from the photosphere was completely blocked by the Moon.In 1931, | Hui Tian ZhongQuan Qu YaJie Chen LinHua Deng ZhengHua Huang Hao Li Yue Zhong Yu Liang JingWen Zhang YiGong Zhang BaoLi Lun XiangMing Cheng XiaoLi Yan ZhiKe Xue YuXin Xin ZhiMing Song YingJie Zhu Tanmoy Samanta | 2017 | Earth and Planetary Physics2017，1，1： | 0 |
| 5 | 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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