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| 1 | Isotope Chronology and Geochemistry of the Lower Carboniferous Granite in Xilinhot, Inner Mongolia, China显示文摘Geochronological and geochemical analyses were performed on K-feldspar granites and monzonitic granites from the Xilinhot area, Inner Mongolia, China. Zircon U/Pb ages indicate that the two types granites were emplaced during the Lower Carboniferous. The K-feldspar granites(332 Ma) have the typical A-type granite characteristics of a post-collision setting. The monzonitic granites have an emplacement age of 323 Ma. Zircon εHf values of the former range from +12.8 to +14.2, with an average T_(DM2) of 453 Ma. The latter have lower zircon ε_(Hf) values, ranging from +5.4 to +10.7, with an average T_(DM2) of 798 Ma. The strong, positive ε_(Hf) values of the zircon indicate that both sets of samples are from a juvenile crust formed in an oceanic crust subduction stage, although the monzonitic granite may have undergone a hybridization of crustal materials. These results indicate a younger post orogenic event. The Paleo-Asian Ocean had closed before the Early Carboniferous and the Xilinhot area started its post-orogenic evolution with an extensional tectonic environment during the Early Carboniferous. | Xiaocheng Zhao Wenxiao Zhou Dong Fu Bo Huang Mengchun Ge | 2018 | Journal of Earth Science2018，29，2： | 8 |
| 2 | High-risk phenotypes of genetic disease in a Neonatal Intensive Care Unit population显示文摘To the Editor: Genetic diseases contribute to 35% of deaths during the first year of life and are a significant cause of intensive care.[1] A previous study based on the China Neonatal Genomes Project investigated the genetic causes of early infant deaths and found that >25% of deceased neonates with genetic diagnoses can be cured if diagnosed in time.[2] Therefore, it is crucial to target and diagnose neonates with genetic diseases as early as possible. According to our experience, the typical phenotypes, such as special facial features or multiple congenital anomalies (MCAs), indicate a high risk of genetic disease and lead physicians to perform genetic testing in neonates as early as possible. However, in practice, infants without typical phenotypes typically undergo a long and costly diagnostic process before genetic diagnoses are confirmed. Moreover, a recent survey by the American College of Medical Genetics and Genomics (ACMG) and other national professional organizations indicated that there are insufficient numbers of qualified geneticists to fulfil genetic service needs.[3] The ACMG published the general clinical features for genetic testing indications. For example, patients with phenotypes or family history data that strongly implicate a genetic cause may undergo genetic testing.[1] However, the study indicated that many genetic conditions arise de novo or are inherited with no family history.[1] A previous study attempted to apply the non-phenotype-driven panel approach in neonates admitted to the neonate intensive care unit (NICU).[4] However, at present, the diagnostic yield is only 3.45% (1/29).[4] In addition, the economic and ethical issues associated with genomic screening remain challenging. Therefore, the available indications for genetic testing may improve the management of genetic diseases. | Tiantian Xiao Qi Ni Huiyao Chen Huijun Wang Lin Yang Bingbing Wu Yun Cao Guoqiang Cheng Laishuan Wang Liyuan Hu Hongfang Mei Yulan Lu Mengchun Gong Xinran Dong Wenhao Zhou | 2022 | Chinese Medical Journal2022，，5： | 2 |
| 3 | Experimental study of electron capture excitation in collisions between Li-like N^(4+) ions and Na atoms显示文摘WITH the rapid development of the technique of ionized atoms, the charge states of atoms that can be obtained now are so high that the H-like U91+ ions and naked U92+ ions | LIU Zhanwen, ZHOU Sixin, ZHANG Wen, ZHANG Xuezhen GUOXiaohong, WANG Youde, MA Xinwen, YANGZhihu, LIU Huiping, ZHAO Mengchun, YANG Feng, PAN Guangyan and LI Dawan1. Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China 2. Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China | 1997 | Chinese Science Bulletin1997，42，5： | 0 |
| 4 | Excitation of Ar by Ar^(7+) Ions Impact at 2.3-3.0keV/u显示文摘Excitation of Ar by Ar^(7+) Ions Impact at 2.3-3.0keV/u￥WangYoude;YangZhihu;MaXinwen;LiuHuiping;ZhaoMengchun;ZhouSixin;LiuZha?.. | Wang Youde Yang Zhihu Ma Xinwen Liu Huiping Zhao Mengchun Zhou Sixin Liu Zhanwen Zhang Wen Zhang Xuezhen Guo Xiaohong Yang Feng Pan Guangyan and Li Dawan | 1994 | IMP & HIRFL Annual Report1994，，0： | 0 |
| 5 | Electron Impact Excitation of He^+ Ions in a Crossed Beam Experiment 显示文摘Electron Impact Excitation of He~+ Ions in a Crossed Beam Experiment ￥WandYoude;liuHuiping;ZhaoMengchun;MaXinwen;YangZhihu;Zh?.. | Wand Youde liu Huiping Zhao Mengchun Ma Xinwen Yang Zhihu Zhang Wen Liu Zhanwen Zhou Sixin Zhang Xuezhen Guo Xiaohong Pan Guangyan Li Dawanl and Yang Feng(Institute of Physics, the Chinese Academy of Sciences, Baijing.) | 1994 | IMP & HIRFL Annual Report1994，，0： | 0 |
| 6 | Electron Capture into Excited States in Collision between Li-like N^(4+) Ion and Na Target显示文摘Electron Capture into Excited States in Collision between Li-like N^(4+) Ion and Na Target￥LiuZhanwen;ZhouSixin;ZhangWen;Zhan?.. | Liu Zhanwen Zhou Sixin Zhang Wen Zhang Xuezhen Guo Xiaohong Ma Xinwen Yang Zhihu Liu Huiping Zhao Mengchun Wang Youde Li Dawan Yang Feng and Pan Guangyan(Institute of Physics, the Chinese Academy of Sciences, Beijing.) | 1994 | IMP & HIRFL Annual Report1994，，0： | 0 |
| 7 | Effect of Boron Fertilizer on the Root Growth Characteristics and Nutrient Contents of the Tuberous Root of Yacon显示文摘[Objectives]This study was conducted to investigate the effects of boron fertilizer on the root system and nutrient contents of yacon.[Methods]By the field test method,high-and low-dose of boron fertilizer(Na2B8O13,9000 and 3000 g/hm2)and equal amount of clean water(CK)were sprayed 3 times in the soil area where plants were grown in the early,middle and late stages of yacon growth,and the effects of applying boron fertilizer on the growth and fruit quality of yacon were analyzed.[Results]The indexes of the root system of yacon treated with boron fertilizer were significantly higher than those of the CK.The yield and total sugar,vitamin C,ash,Ca,Fe,Zn and other nutrients of the boron fertilizer treatments increased significantly compared with the CK.The yields of the low-and high-dose treatments increased by 77.2%and 211.2%,respectively,compared with the CK;and the contents of total sugar,vitamin C,ash,Ca,Fe and Zn in the high-dose treatment increased by 28.4%,163.6%,33.2%,73.3%,41.2%and 56.2%,respectively,compared with the CK.The nutrients in yacon treated with the low dose of boron fertilizer were lower than those with the high dose.The application of boron fertilizer could increase the yield of yacon,improve its quality and increase the contents of nutrients such as Ca,Fe,Zn and total sugar.[Conclusions]This study provides a reference for the reasonable application of boron fertilizer in the production of yacon and the improvement of the quality of yacon. | Mengchun ZHOU Xinyan ZHOU Mao TAN Yaling DUAN Yanzi HE Maoying XIANG Hualun ZHOU | 2020 | Agricultural Biotechnology2020，9，5： | 0 |
| 8 | Comparison of nomogram and machine-learning methods for predicting the survival of non-small cell lung cancer patients显示文摘Background:Most patients with advanced non-small cell lung cancer(NSCLC)have a poor prognosis.Predicting overall survival using clinical data would benefit cancer patients by allowing providers to design an optimum treatment plan.We compared the performance of nomograms with machine-learning models at predicting the overall survival of NSCLC patients.This comparison benefits the development and selection of models during the clinical decision-making process for NSCLC patients.Methods:Multiple machine-learning models were used in a retrospective cohort of 6586 patients.First,we modeled and validated a nomogram to predict the overall survival of NSCLC patients.Subsequently,five machine-learning models(logistic regression,random forest,XGBoost,decision tree,and light gradient boosting machine)were used to predict survival status.Next,we evaluated the performance of the models.Finally,the machine-learning model with the highest accuracy was chosen for comparison with the nomogram at predicting survival status by observing a novel performance measure:time-dependent prediction accuracy.Results:Among the five machine-learning models,the accuracy of random forest model outperformed the others.Compared with the nomogram for time-dependent prediction accuracy with a follow-up time ranging from 12 to 60 months,the prediction accuracies of both the nomogram and machinelearning models changed as time varied.The nomogram reached a maximum prediction accuracy of 0.85 in the 60th month,and the random forest algorithm reached a maximum prediction accuracy of 0.74 in the 13th month.Conclusions:Overall,the nomogram provided more reliable prognostic assessments of NSCLC patients than machine-learning models over our observation period.Although machine-learning methods have been widely adopted for predicting clinical prognoses in recent studies,the conventional nomogram was competitive.In real clinical applications,a comprehensive model that combines these two methods may demonstrate superior capabilities. | Haike Lei Xiaosheng Li Wuren Ma Na Hong Chun Liu Wei Zhou Hong Zhou Mengchun Gong Ying Wang Guixue Wang Yongzhong Wu | 2022 | Cancer Innovation2022，1，2： | 0 |
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