228 research outputs found
Evolution of the DREB subfamily in green plants identifies neofunctionalization of the lineage-specific genes
This Dataverse contains the AP2/EREBP protein sequences identified in 169 green plants, multiple sequence alignments and phylogenetic trees presented in "Evolution of the DREB subfamily in green plants identifies neofunctionalization of the lineage-specific genes" by Jiapeng Han, Xiaoxue Xie, Yang Zhang, Xiaofen Yu, Guangyuan He, Yin Li, Guangxiao Yang
The origin and diversification of MADS-box transcriptive factors in green plants
This Dataverse contains the predicted 3D structure of Type II proteins in Viridiplantae and MEF2s in other eukaryotes presented in "The origin and diversification of MADS-box transcriptive factors in green plants" by Jia-Peng Han, Jun-Nan Wan, Zhi-Lin Guan, Qing-Feng Wang, Tao Wan
Profiling plasma peptides for the identification of potential ageing biomarkers in Chinese Han adults
Advancing age is associated with cardiovascular disease, diabetes mellitus and cancer, and shows significant inter-individual variability. To identify ageing-related biomarkers we performed a proteomic analysis on 1890 Chinese Han individuals, 1136 males and 754 females, aged 18 to 82 years, using weak cation exchange magnetic bead based MALDI-TOF-MS analysis. The study identified 44 peptides which varied in concentration in different age groups. In particular, apolipoprotein A-I (ApoA1) concentration gradually increased between 18 to 50 years of age, the levels of fibrinogen alpha (FGA) decreased over the same age span, while albumin (ALB) was significantly degraded in middle-aged individuals. In addition, the plasma peptide profiles of FGA and four other unidentified proteins were found to be gender-dependent. Plasma proteins such as FGA, ALB and ApoA1 are significantly correlated with age in the Chinese Han population and could be employed as indicative ageing-related biomarkers
Radio Frequency Interference Characterization and Mitigation for Polarimetric Weather Radar: A Study Case
Radio frequency interference (RFI) has become a growing concern for weather radar, distorting radar variable estimation. By simultaneously or alternately transmitting the horizontal and vertical polarized waves, polarimetric weather radar can be referred to as SHV radar or AHV radar. The SHV radar can mimic the AHV radar by discarding either H- or V-channel measurements, which leads to an alternating scheme. In this research, the real RFI measurements from an operational C-band SHV radar are used to characterize the RFI temporal, spectral, and polarimetric features. Then, the RFI is simulated to quantify the performance of the object-orientated spectral polarimetric (OBSPol) filter in RFI mitigation. The OBSPol filter has been previously proposed by the authors to mitigate the narrowband clutter (both stationary and moving) and noise. This work extends the application of the filter to remove the RFI for SHV radar. Specifically, by taking advantage of the low copolar correlation of the RFI signal measured in AHV radar, the RFI mitigation method is designed, and its effectiveness is proven by qualitative and quantitative analyses. In particular, in the case of RFI overlapped to weather echoes in the time domain, the RFI can be mitigated, also when the duty cycle of the RFI is high. However, this work does not provide a full evaluation of the RFI mitigation performance on all radar data outputs but a proof of concept to show the effectiveness of the proposed filter for RFI mitigation.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Atmospheric Remote SensingGeoscience and Remote Sensin
Ban dao ti wei qiang zhong dian ci ji hua zi liu ti de tu an xing cheng
Chan, Ka Pang = 半導體微腔中電磁極化子流體的圖案形成 / 陳家鵬.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 168-171).Abstracts also in Chinese.Title from PDF title page (viewed on 30, November, 2016).Chan, Ka Pang = Ban dao ti wei qiang zhong dian ci ji hua zi liu ti de tu an xing cheng / Chen Jiapeng
Research on ABS and TPMS Merging System Based on Sliding Mode Variable Structure Control System
Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar
The use of spectral polarimetric filters in the range-Doppler domain shows great promise for clutter mitigation in weather radar applications. One limitation of these filters is that they cannot deal with situations in which ground clutter and precipitation overlap. In this letter, we propose a new signal recovery technique based on kriging in the spectral domain to recover the precipitation in clutter-contaminated areas. Using synthetic radar data, we test our new method and compare its performance to that of Gaussian model adaptive processing and bilinear interpolation. Our results indicate that kriging is the most accurate and robust technique out of the three.Atmospheric Remote Sensin
UAV-aided weather radar calibration
Weather radar is well recognized as an effective sensor for obtaining the microphysical and dynamical properties of precipitation at high spatial and temporal resolution. Radar calibration is one of the most important prerequisites for achieving accurate observations. In this article, a portable, cost-effective and repeatable radar calibration technique, namely, unmanned aerial vehicle (UAV)-aided radar calibration, is proposed. A UAV serves as the stable aerial platform carrying a metal sphere, flying over the radar illumination areas to complete the calibration process. The flying routine of the UAV can be pre-programmed, and thus, the antenna pattern regarding different elevation and azimuth angles can be retrieved. To obtain the position of the sphere, the real-time single-frequency precise point positioning-type global navigation satellite system solution is developed. In addition, the radar constant is calculated in the range-Doppler domain, and only the data where the metal sphere separates from clutter and other objects are selected. The S-band polarimetric Doppler transportable atmospheric radar (TARA) is used in the calibration campaign. The experiments demonstrate the following results: 1) antenna pointing calibration can be completed and 2) antenna pattern can be retrieved and weather radar constant can be accurately calculated.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Atmospheric Remote SensingGeoscience and Remote SensingMicrowave Sensing, Signals & System
Spectral Polarimetric Filter Design for Wind Turbine Clutter Suppression
Nowadays, there is an intensive use of wind turbines worldwide to generate green and renewable energy. In addition, the sizes of wind turbines keep increasing for higher efficiency. However, echoes from wind turbines are severe clutter for weather radar, deteriorating its performance significantly. In this work, the spectral polarimetric filters (SPFs) are designed to mitigate wind turbine clutter (WTC). The SPFs consist of the moving double spectral linear depolarization ratio (MDsLDR) filter [1] and the object-orientated spectral polarimetric (OBSpol) filter [2], which have been previously proposed to mitigate the narrow-band clutter (both stationary and moving) for polarimetric radar with and without cross-polar measurements, respectively. Data collected by a polarimetric Doppler weather radar known as the IRCTR Drizzle Radar (IDRA) are used to validate the performance of the proposed algorithm. Mounted on the top of a 213m tower in Cabauw Experimental Site for Atmospheric Research, the Netherlands, the X-band operational research radar is still affected by wind turbines which are 120m in height and 3400m far away. Different case studies demonstrate the good performance of the SPFs in sidelobe WTC suppression. Moreover, these filters can be applied in real time due to its low computation complexity
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