MoS2, MoSe2 and WSe2 thin flakes were fabricated by the standard micromechanical cleavage procedures. The thickness and the optical contrast of the atomic thin dichalcogenide flakes on SiO2/Si substrates were measured...MoS2, MoSe2 and WSe2 thin flakes were fabricated by the standard micromechanical cleavage procedures. The thickness and the optical contrast of the atomic thin dichalcogenide flakes on SiO2/Si substrates were measured by atomic force microscopy（AFM） and spectroscopic ellipsometer. A rapid and nondestructive method by using reflection spectra was proposed to identify the layer number of 2D layered transition metal dichalcogenides on SiO2（275 nm）/Si substrates. The contrast spectra of 2D nanosheets with different layer numbers are in agreement with theoretical calculations based on Fresnel＇s law, indicating that this method provides an unambiguous and nondestructive contrast spectra fingerprint for identifying single-and few-layered transition metal dichalcogenides. The results will greatly help in fundamental research and application.展开更多
Oilseed rape （Brassica napus L.） is one of the most important oil crops worldwide and provides about 50 percent of the vegetable oil supply in China （Yin et al., 2009）. The development of rapeseed varieties with h...Oilseed rape （Brassica napus L.） is one of the most important oil crops worldwide and provides about 50 percent of the vegetable oil supply in China （Yin et al., 2009）. The development of rapeseed varieties with higher yield is an effective measure to optimize balance between the supply and demand of edible vegetable oil. In oilseed rape, the number of silique per plant （SP） contributes most to the yield performance （Diepenbrock, 2000）. However, compared with the other two yield-component traits, seeds per silique （SS） and seed weight （SW）, SP is more sensitive to environmental changes （Li et al., 2007; Shi et al., 2009）. Therefore, it is difficult to perform the genetic improvement on SP trait directly in oilseed rape.展开更多
Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent...Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent that human diseases can also be caused by copy number variations （CNVs）, especially patient- specific novel CNVs （lafrate et al., 2004; Sebat et al., 2004; Redon et al., 2006; LuDski, 2007; Zhan~ et al.. 2009： Wu et al.. 2015）.展开更多
In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was proposed. The impro...In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was proposed. The improved Faster-RCNN algorithm uses ResNet50 combined with FPN (Feature Pyramid Network) structure instead of the original ResNet50 as the feature extraction network, which can enhance the accuracy of the model for small-sized digit recognition;the use of ROI Align instead of ROI Pooling can eliminate the error caused by the quantization process of the ROI Pooling twice, so that the candidate region is more accurately mapped to the feature map, and the accuracy of the model is further enhanced. The experiment proves that the improved Faster-RCNN algorithm can reach 91.8% recognition accuracy on the test set of homemade dataset, which meets the accuracy requirements of automatic meter reading technology for water meter digital recognition, which is of great significance for solving the problem of automatic meter reading of mechanical water meters and promoting the intelligent development of water meters.展开更多
基金financially supported by the National Natural Science Foundation of China(Nos.11304381 and 11174366)
文摘MoS2, MoSe2 and WSe2 thin flakes were fabricated by the standard micromechanical cleavage procedures. The thickness and the optical contrast of the atomic thin dichalcogenide flakes on SiO2/Si substrates were measured by atomic force microscopy（AFM） and spectroscopic ellipsometer. A rapid and nondestructive method by using reflection spectra was proposed to identify the layer number of 2D layered transition metal dichalcogenides on SiO2（275 nm）/Si substrates. The contrast spectra of 2D nanosheets with different layer numbers are in agreement with theoretical calculations based on Fresnel＇s law, indicating that this method provides an unambiguous and nondestructive contrast spectra fingerprint for identifying single-and few-layered transition metal dichalcogenides. The results will greatly help in fundamental research and application.
基金supported by the Hi-Tech Research and Development program of China (Grant No. 2011AA10A104)the National Natural Science Foundation of China (Grant Nos. 31171589 and 31201244)+1 种基金the National Basic Research Program (Grant No. 2011CB109302)the Special Fund for Agroscientific Research in the Public Interest (Grant No. 2101203032)
文摘Oilseed rape （Brassica napus L.） is one of the most important oil crops worldwide and provides about 50 percent of the vegetable oil supply in China （Yin et al., 2009）. The development of rapeseed varieties with higher yield is an effective measure to optimize balance between the supply and demand of edible vegetable oil. In oilseed rape, the number of silique per plant （SP） contributes most to the yield performance （Diepenbrock, 2000）. However, compared with the other two yield-component traits, seeds per silique （SS） and seed weight （SW）, SP is more sensitive to environmental changes （Li et al., 2007; Shi et al., 2009）. Therefore, it is difficult to perform the genetic improvement on SP trait directly in oilseed rape.
基金supported by the National Basic Research Program of China(No.2012CB944600)the National Key Research and Development Program of China(No.2016YFC0905100)+1 种基金the National Natural Science Foundation of China(Nos.31521003,31625015,31571297,31601046,31525014 and 91331204)the Science and Technology Commission of Shanghai Municipality(No.16YF1413900)
文摘Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent that human diseases can also be caused by copy number variations （CNVs）, especially patient- specific novel CNVs （lafrate et al., 2004; Sebat et al., 2004; Redon et al., 2006; LuDski, 2007; Zhan~ et al.. 2009： Wu et al.. 2015）.
文摘In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was proposed. The improved Faster-RCNN algorithm uses ResNet50 combined with FPN (Feature Pyramid Network) structure instead of the original ResNet50 as the feature extraction network, which can enhance the accuracy of the model for small-sized digit recognition;the use of ROI Align instead of ROI Pooling can eliminate the error caused by the quantization process of the ROI Pooling twice, so that the candidate region is more accurately mapped to the feature map, and the accuracy of the model is further enhanced. The experiment proves that the improved Faster-RCNN algorithm can reach 91.8% recognition accuracy on the test set of homemade dataset, which meets the accuracy requirements of automatic meter reading technology for water meter digital recognition, which is of great significance for solving the problem of automatic meter reading of mechanical water meters and promoting the intelligent development of water meters.
