http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Yunlong Meng (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Angle-sensitive Pixels Based on Subwavelength Compound Gratings
Yunlong Meng,Xuemei Hu,Cheng Yang,Xinyu Shen,Xueyun Cao,Lankun Lin,Feng Yan,Tao Yue 한국광학회 2022 Current Optics and Photonics Vol.6 No.4
In this paper, we present a new design for angle-sensitive pixels (ASPs). The proposed ASPs take advantage of subwavelength compound gratings to capture the light angle, which enables pixel size to reach the wavelength scale of 0.7 μm × 0.7 μm. The subwavelength compound gratings are implement-ed by the wires of the readout circuit inherent to the standard complementary metal–oxide–semiconductor manufacturing process, thus avoiding additional off-chip optics or post-processing. This technique allows the use of two pixels for horizontal or vertical angle detection, and can determine the light’s angle in the range from −45° to +45°. The proposed sensor enables surface-profile reconstruction of mi-croscale samples using a lensless imaging system.
-
Effects of Nitrate Addition on Rumen Fermentation, Bacterial Biodiversity and Abundance
Zhao, Liping,Meng, Qingxiang,Ren, Liping,Liu, Wei,Zhang, Xinzhuang,Huo, Yunlong,Zhou, Zhenming Asian Australasian Association of Animal Productio 2015 Animal Bioscience Vol.28 No.10
This study examined changes of rumen fermentation, ruminal bacteria biodiversity and abundance caused by nitrate addition with Ion Torrent sequencing and real-time polymerase chain reaction. Three rumen-fistulated steers were fed diets supplemented with 0%, 1%, and 2% nitrate (dry matter %) in succession. Nitrate supplementation linearly increased total volatile fatty acids and acetate concentration obviously (p = 0.02; p = 0.02; p<0.01), butyrate and isovalerate concentration numerically (p = 0.07). The alpha (p>0.05) and beta biodiversityof ruminal bacteria were not affected by nitrate. Nitrate increased typical efficient cellulolytic bacteria species (Ruminococcus flavefaciens, Ruminococcus ablus, and Fibrobacter succinogenes) (p<0.01; p = 0.06; p = 0.02). Ruminobactr, Sphaerochaeta, CF231, and BF311 genus were increased by 1% nitrate. Campylobacter fetus, Selenomonas ruminantium, and Mannheimia succiniciproducens were core nitrate reducing bacteria in steers and their abundance increased linearly along with nitrate addition level (p<0.01; p = 0.02; p = 0.04). Potential nitrate reducers in the rumen, Campylobacter genus and Cyanobacteria phyla were significantly increased by nitrate (p<0.01; p = 0.01).To the best of our knowledge, this was the first detailed view of changes in ruminal microbiota by nitrate. This finding would provide useful information on nitrate utilization and nitrate reducer exploration in the rumen.
-
Recovery of [BMIM]FeCl4 from homogeneous mixture using a simple chemical method
Chongjun Zhao,Meng Wang,Bing Li,Xiuzhen Qian,Yunlong Xu,Guorong Chen 한국화학공학회 2010 Korean Journal of Chemical Engineering Vol.27 No.4
[BMIM]FeCl4 (1-butyl-3-methylimidazolium tetrachloroferrate) was successfully separated from a homogeneous mixture of [BMIM]FeCl4 and H2O via a simple two-step method of phase-division by adding inorganic salt plus chemical extraction, or alternatively, ultracentrifugation, or ultrastrong magnetic field. NaCl showed excellent and effective phase-dividing performance combined with chemical extraction method from the homogeneous mixture of [BMIM]FeCl4 and H2O lower to 1 v%.
-
Effects of Nitrate Addition on Rumen Fermentation, Bacterial Biodiversity and Abundance
Liping Zhao,Qingxiang Meng,Liping Ren,Wei Liu,Xinzhuang Zhang,Yunlong Huo,Zhenming Zhou 아세아·태평양축산학회 2015 Animal Bioscience Vol.28 No.10
This study examined changes of rumen fermentation, ruminal bacteria biodiversity and abundance caused by nitrate addition with Ion Torrent sequencing and real-time polymerase chain reaction. Three rumen-fistulated steers were fed diets supplemented with 0%, 1%, and 2% nitrate (dry matter %) in succession. Nitrate supplementation linearly increased total volatile fatty acids and acetate concentration obviously (p = 0.02; p = 0.02; p<0.01), butyrate and isovalerate concentration numerically (p = 0.07). The alpha (p>0.05) and beta biodiversityof ruminal bacteria were not affected by nitrate. Nitrate increased typical efficient cellulolytic bacteria species (Ruminococcus flavefaciens, Ruminococcus ablus, and Fibrobacter succinogenes) (p<0.01; p = 0.06; p = 0.02). Ruminobactr, Sphaerochaeta, CF231, and BF311 genus were increased by 1% nitrate. Campylobacter fetus, Selenomonas ruminantium, and Mannheimia succiniciproducens were core nitrate reducing bacteria in steers and their abundance increased linearly along with nitrate addition level (p<0.01; p = 0.02; p = 0.04). Potential nitrate reducers in the rumen, Campylobacter genus and Cyanobacteria phyla were significantly increased by nitrate (p<0.01; p = 0.01).To the best of our knowledge, this was the first detailed view of changes in ruminal microbiota by nitrate. This finding would provide useful information on nitrate utilization and nitrate reducer exploration in the rumen.
-
Improving Public Health Multidimensional Services through the Use of Smart Cloud Model
Li Kai,Yang Hua,Zhang Yunlong,Yang Zhehan,Zhu Yan,XinYing,Meng Qun 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.8
To better understand the practical applications of smart cloud technology in response to public services improvement, this paper researches the application results of Smart Cloud Model Based Public Health Multidimensional Services (SCMBPHMS). Different from the previous studies that focused on the details, this paper establishes a relatively macroscopic large model of SCMBPHMS, we have established a knowledge model based on artificial neural network on the model data processing to sense various users’ data acquisition habits of SCMBPHMS and let Public Health Smart Cloud Service (PHSCS) gaining the function of intelligent mining and data intelligent classification via training library. Finally, we give the example of some important features of SCMBPHMS via PHP language. In future, SCMBPHMS combined with the Residents' Health Card will greatly influence the quality of Public Healthcare Services
DBpia
ScienceON연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
