Effects of cultivation years on effective constituent content of Fritillaria pallidiflora Schernk

Fritillaria pallidiflora Schrenk has been treasured in traditional classic medicine as an antitussive, antiasthmatic and expectorant for hundreds of years. With gradually decreasing wild F. pallidiflora resources, the herb can no longer satisfy the demand. Artificial cultivation is one of the most effective ways to solve the contradiction between supply and demand in the medicinal material market. During the growth of Rhizomes medicinal plants, root biomass and active ingredient content showed dynamic accumulated variation with increasing cultivation years. Up to now, hardly any attempts have been made to investigate the relationship between quality and cultivation years of F. pallidiflora. Therefore, in this paper, we determined the optimum harvesting time by comparing biomass and biological characteristics of F. pallidiflora at different cultivation times. High-performance liquid chromatography with evaporative light scattering detection and phenol-sulfuric acid visible spectrophotometry was performed to determine imperialine and polysaccharide content of F. pallidiflora bulbs. From year 1 to 6 of cultivation, we observed an upward trend in plant height, diameter and dry weight of F. pallidiflora, while water content decreased. Plant height and dry weight increased remarkably during the fourth year of cultivation. The content of imperialine and polysaccharide of F. pallidiflora bulbs, on the other hand, showed an upward trend from year 1 to 3, after which it decreased from year 3 to 6. By comparing plant growth, biomass development and the accumulation of imperialine and polysaccharide, the best harvesting time of F. pallidiflora was determined to be after 4 years of cultivation. Our results showed that it is possible to establish a safe, effective, stable and controllable production process, which could play an important role in achieving sustainable utilization of F. pallidiflora resources.Fritillaria pallidiflora Schrenk has been treasured in traditional classic medicine as an antitussive, antiasthmatic and expectorant for hundreds of years. With gradually decreasing wild F. pallidiflora resources, the herb can no longer satisfy the demand. Artificial cultivation is one of the most effective ways to solve the contradiction between supply and demand in the medicinal material market. During the growth of Rhizomes medicinal plants, root biomass and active ingredient content showed dynamic accumulated variation with increasing cultivation years. Up to now, hardly any attempts have been made to investigate the relationship between quality and cultivation years of F. pallidiflora. Therefore, in this paper, we determined the optimum harvesting time by comparing biomass and biological characteristics of F. pallidiflora at different cultivation times. High-performance liquid chromatography with evaporative light scattering detection and phenol-sulfuric acid visible spectrophotometry was performed to determine imperialine and polysaccharide content of F. pallidiflora bulbs. From year 1 to 6 of cultivation, we observed an upward trend in plant height, diameter and dry weight of F. pallidiflora, while water content decreased. Plant height and dry weight increased remarkably during the fourth year of cultivation. The content of imperialine and polysaccharide of F. pallidiflora bulbs, on the other hand, showed an upward trend from year 1 to 3, after which it decreased from year 3 to 6. By comparing plant growth, biomass development and the accumulation of imperialine and polysaccharide, the best harvesting time of F. pallidiflora was determined to be after 4 years of cultivation. Our results showed that it is possible to establish a safe, effective, stable and controllable production process, which could play an important role in achieving sustainable utilization of F. pallidiflora resources

Understanding large plastic deformation of SiC nanowires at room temperature

Tensile behaviors of SiC [111] nanowires with various possible microstructures have been investigated by molecular-dynamics simulations. The results show that the large plastic deformation in these nanowires is induced by the anti-parallel sliding of 3C grains along an ultra- thin intergranular amorphous film parallel to the (11¯1) plane and inclined at an angle of 19.47◦ with respect to the nanowire axis. The resulting large plastic deformation of SiC nanowires at room temperature is attributed to the stretching, breaking and re-forming of Si–C bonds in the intergranular amorphous film, which is also evident from the sawtooth jumps in the stress-strain response

Fracture behaviors under pure shear loading in bulk metallic glasses

Pure shear fracture test, as a special mechanical means, had been carried out extensively to obtain the critical information for traditional metallic crystalline materials and rocks, such as the intrinsic deformation behavior and fracture mechanism. However, for bulk metallic glasses (BMGs), the pure shear fracture behaviors have not been investigated systematically due to the lack of a suitable test method. Here, we specially introduce a unique antisymmetrical four-point bend shear test method to realize a uniform pure shear stress field and study the pure shear fracture behaviors of two kinds of BMGs, Zr-based and La-based BMGs. All kinds of fracture behaviors, the pure shear fracture strength, fracture angle and fracture surface morphology, are systematically analyzed and compared with those of the conventional compressive and tensile fracture. Our results indicate that both the Zrbased and La-based BMGs follow the same fracture mechanism under pure shear loading, which is significantly different from the situation of some previous research results. Our results might offer new enlightenment on the intrinsic deformation and fracture mechanism of BMGs and other amorphous materials

Pan-cancer analysis of whole genomes

Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

Large format heterodyne arrays for observing far-infrared lines with SOFIA

In the wavelength regime between 60 and 300 microns there are a number of atomic and molecular emission lines that are key diagnostic probes of the interstellar medium. These include transitions of [CII], [NII], [OI], HD, H2D+, OH, CO, and H2O, some of which are among the brightest global and local far-infrared lines in the Galaxy. In Giant Molecular Clouds (GMCs), evolved star envelopes, and planetary nebulae, these emission lines can be extended over many arc minutes and possess complicated, often self absorbed, line profiles. High spectral resolution (R> 105) observations of these lines at sub-arcminute angular resolution are crucial to understanding the complicated interplay between the interstellar medium and the stars that form from it. This feedback is central to all theories of galactic evolution. Large format heterodyne array receivers can provide the spectral resolution and spatial coverage to probe these lines over extended regions. The advent of large format (~100 pixel) spectroscopic imaging cameras in the far-infrared (FIR) will fundamentally change the way astronomy is performed in this important wavelength regime. While the possibility of such instruments has been discussed for more than two decades, only recently have advances in mixer and local oscillator technology, device fabrication, micromachining, and digital signal processing made the construction of such instruments tractable. These technologies can be implemented to construct a sensitive, flexible, heterodyne array facility instrument for SOFIA. The instrument concept for StratoSTAR: Stratospheric Submm/THz Array Receiver includes a common user mounting, control system, IF processor, spectrometer, and cryogenic system. The cryogenic system will be designed to accept a frontend insert. The frontend insert and associated local oscillator system/relay optics would be provided by individual user groups and reflect their scientific interests. Rapid technology development in this field makes SOFIA the ideal platform to operate such a modular, continuously evolving instrument.QN/Quantum NanoscienceApplied Science

Cerebron: A Reconfigurable Architecture for Spatio-Temporal Sparse Spiking Neural Networks

Spiking neural networks (SNNs) are promising alternatives to artificial neural networks (ANNs) since they are more realistic brain-inspired computing models. SNNs have sparse neuron firing over time, i.e., spatiotemporal sparsity; thus, they are helpful in enabling energy-efficient hardware inference. However, exploiting the spatiotemporal sparsity of SNNs in hardware leads to unpredictable and unbalanced workloads, degrading the energy efficiency. Compared to SNNs with simple fully connected structures, those extensive structures (e.g., standard convolutions, depthwise convolutions, and pointwise convolutions) can deal with more complicated tasks but lead to difficulties in hardware mapping. In this work, we propose a novel reconfigurable architecture, Cerebron, which can fully exploit the spatiotemporal sparsity in SNNs with maximized data reuse and propose optimization techniques to improve the efficiency and flexibility of the hardware. To achieve flexibility, the reconfigurable compute engine is compatible with a variety of spiking layers and supports inter-computing-unit (CU) and intra-CU reconfiguration. The compute engine can exploit data reuse and guarantee parallel data access when processing different convolutions to achieve memory efficiency. A two-step data sparsity exploitation method is introduced to leverage the sparsity of discrete spikes and reduce the computation time. Besides, an online channelwise workload scheduling strategy is designed to reduce the latency further. Cerebron is verified on image segmentation and classification tasks using a variety of state-of-the-art spiking network structures. Experimental results show that Cerebron has achieved at least 17.5<inline-formula> <tex-math notation="LaTeX">$\times$</tex-math> </inline-formula> prediction energy reduction and 20<inline-formula> <tex-math notation="LaTeX">$\times$</tex-math> </inline-formula> speedup compared with state-of-the-art field-programmable gate array (FPGA)-based accelerators.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.Electronic

[[alternative]]Method Development for the Analysis of Polynuclear Aromatic

[[abstract]]摘 要:近來台灣地區，由於高度工業化與高密度之機動車輛與多處 焚化爐之興建與運轉，造成國內空氣品質日益惡化之主因，其中多環芳香 烴化合物，因石化燃料之使用及塑膠廢棄物之燃燒，廣泛地散佈在空氣塵 粒中，且經証實具有致癌性及基因突變性，因此其研究已引起許多先進國 家的重視，並加以列管。本研究是針對美國環保署所列管之十六種多環芳 香烴化合物，由高流量採樣器與玻璃纖維濾紙採集大氣中之粒狀物，經超 臨界流體萃取法(SFE) 及索氏萃取後，再經膠滲透層析法(GPC) 淨化樣品 ，並由高效率液相層析儀(HPLC)配合紫外光與螢光偵測器進行分析測定。 本研究若僅使用SFE 萃取經認證之標準樣品 SRM 1649 可得 36.67 ﹪∼ 76.92 ﹪之回收率，若輔以索氏萃取 9 小時則具有 74.23 ﹪∼ 110.89 ﹪之回收率。整體而言， SFE 對於較高分子量 PAHs 之萃取效果較差， 輔以索氏萃取則可改善，較傳統之方法具有縮短時間、相同回收效果之優 點。方法偵測極限範圍約在 0.17∼3.86 μg/mL 及 0.39∼2.44 μg/mL 。 ABATRACT:Because of high degree of industrialization, the use of large numbervehicles and the operation of many incinerators, problems caused by air pollution are becoming well-known. Among these pollutants, PAHs are currently regulated by some highly developed countries, such as U.S.,due to their mutagenecityand carcinogenecity . In this study , the analysis of PAHs in airborne particulates is based on supercritical fluid extraction(SFE), soxhlet extraction, and gel permeation chromatography(GPC) followed by HPLC-UV - Fluoescence.with the optimized intrumental conditions, accuracy and precision of the method are varified by the analysis of SRM 1649. The recoveries through SFE range from 36.67 ﹪∼ 76.92 ﹪. The overall recoveries after SFE/Soxhlet extraction range from 74.23 ﹪∼ 110.89 ﹪ . Comparison of the Soxhlet/SFE method and SFE method for the analysis of PAHs in SRM 1649, shows that Soxhlet/ SFE method gave higher extraction efficiencies; but SFE method provided more rapid extraction.The deection limits of studied methodare 0.17 ∼ 3.86 μg/mL and 0.39 ∼ 2.44 μg/mL. ABATRACT:Because of high degree of industrialization, the use

Generating multivariate load states using a conditional variational autoencoder

For planning of power systems and for the calibration of operational tools, it is essential to analyse system performance in a large range of representative scenarios. When the available historical data is limited, generative models are a promising solution, but modelling high-dimensional dependencies is challenging. In this paper, a multivariate load state generating model on the basis of a conditional variational autoencoder (CVAE) neural network is proposed. Going beyond common CVAE implementations, the model includes stochastic variation of output samples under given latent vectors and co-optimizes the parameters for this output variability. It is shown that this improves statistical properties of the generated data. The quality of generated multivariate loads is evaluated using univariate and multivariate performance metrics. A generation adequacy case study on the European network is used to illustrate model's ability to generate realistic tail distributions. The experiments demonstrate that the proposed generator outperforms other data generating mechanisms.Intelligent Electrical Power Grid

Generating multivariate load states using a conditional variational autoencoder

For planning of power systems and for the calibration of operational tools, it is essential to analyse system performance in a large range of representative scenarios. When the available historical data is limited, generative models are a promising solution, but modelling high-dimensional dependencies is challenging. In this paper, a multivariate load state generating model on the basis of a conditional variational autoencoder (CVAE) neural network is proposed. Going beyond common CVAE implementations, the model includes stochastic variation of output samples under given latent vectors and co-optimizes the parameters for this output variability. It is shown that this improves statistical properties of the generated data. The quality of generated multivariate loads is evaluated using univariate and multivariate performance metrics. A generation adequacy case study on the European network is used to illustrate model's ability to generate realistic tail distributions. The experiments demonstrate that the proposed generator outperforms other data generating mechanisms.Intelligent Electrical Power Grid

Fourier phase grating for THz multi-beam local oscillators

A Fourier phase grating mirror will be applied to split a single, coherent terahertz source beam into multi-beams, which are spatially distributed as required for the local oscillator in an array receiver. We report on the simulation, design and fabrication of a Fourier phase grating at 1.25 THz for generating 2×2 beams, and the measurements at 1.39 THz as a proof of concept study. We find that the characteristics of the measured diffraction beams are in good agreement with the model. In addition, we present the simulation and design of a grating for 4×4 beams as required for the GUSSTO’s 4.7 THz local oscillator.QN/Quantum NanoscienceApplied Science