Molecular identification of original plants of Fritillariae cirrhosae bulbus, a Tradtional Chinese Cedicine (TCM) using plant DNA barcoding

Background: DNA barcoding is a widely used tool that enables rapid and accurate identification of species based on standardized DNA regions.Materials and Methods: In this study, potential DNA barcodes, namely three plastid regions (rbcL, trnH-psbA and matK) and one nuclear ribosomal internal transcribed spacer (ITS) were adopted for species identification of original plants of Fritillariae Cirrhosae Bulbus.Results: The rbcL and trnH-psbA regions showed better success rate of PCR amplification and DNA sequencing, as well as superior discriminatory ability. On the contrary, ITS region did not possess effective genetic variation and matK was faced with low success rate of sequencing. Combination of multi-loci sequences could improve identification ability of DNA barcoding. The trnH-psbA + rbcL could discriminate 25% - 100% species based on the Blast, Tree-Building and Distance methods.Conclusion: The potential DNA barcodes could not completely solving species identification of botanic origins of Fritillariae Cirrhosae Bulbus. In future, we should pay more attention to super-barcoding or specific barcode that enhance ability to discriminate the closely related plants.Keywords: Fritillariae Cirrhosae Bulbus, species identification, DNA barcoding, internal transcribed spacer (ITS), traditional Chinese medicine (TCM

FPGA-Based On-Board Geometric Calibration for Linear CCD Array Sensors

With increasing demands in real-time or near real-time remotely sensed imagery applications in such as military deployments, quick response to terrorist attacks and disaster rescue, the on-board geometric calibration problem has attracted the attention of many scientists in recent years. This paper presents an on-board geometric calibration method for linear CCD sensor arrays using FPGA chips. The proposed method mainly consists of four modules—Input Data, Coefficient Calculation, Adjustment Computation and Comparison—in which the parallel computations for building the observation equations and least squares adjustment, are implemented using FPGA chips, for which a decomposed matrix inversion method is presented. A Xilinx Virtex-7 FPGA VC707 chip is selected and the MOMS-2P data used for inflight geometric calibration from DLR (Köln, Germany), are employed for validation and analysis. The experimental results demonstrated that: (1) When the widths of floating-point data from 44-bit to 64-bit are adopted, the FPGA resources, including the utilizations of FF, LUT, memory LUT, I/O and DSP48, are consumed at a fast increasing rate; thus, a 50-bit data width is recommended for FPGA-based geometric calibration. (2) Increasing number of ground control points (GCPs) does not significantly consume the FPGA resources, six GCPs is therefore recommended for geometric calibration. (3) The FPGA-based geometric calibration can reach approximately 24 times faster speed than the PC-based one does. (4) The accuracy from the proposed FPGA-based method is almost similar to the one from the inflight calibration if the calibration model and GCPs number are the same

On Board Georeferencing Using FPGA-Based Optimized Second Order Polynomial Equation

For real-time monitoring of natural disasters, such as fire, volcano, flood, landslide, and coastal inundation, highly-accurate georeferenced remotely sensed imagery is needed. Georeferenced imagery can be fused with geographic spatial data sets to provide geographic coordinates and positing for regions of interest. This paper proposes an on-board georeferencing method for remotely sensed imagery, which contains five modules: input data, coordinate transformation, bilinear interpolation, and output data. The experimental results demonstrate multiple benefits of the proposed method: (1) the computation speed using the proposed algorithm is 8 times faster than that using PC computer; (2) the resources of the field programmable gate array (FPGA) can meet the requirements of design. In the coordinate transformation scheme, 250,656 LUTs, 499,268 registers, and 388 DSP48s are used. Furthermore, 27,218 LUTs, 45,823 registers, 456 RAM/FIFO, and 267 DSP48s are used in the bilinear interpolation module; (3) the values of root mean square errors (RMSEs) are less than one pixel, and the other statistics, such as maximum error, minimum error, and mean error are less than one pixel; (4) the gray values of the georeferenced image when implemented using FPGA have the same accuracy as those implemented using MATLAB and Visual studio (C++), and have a very close accuracy implemented using ENVI software; and (5) the on-chip power consumption is 0.659W. Therefore, it can be concluded that the proposed georeferencing method implemented using FPGA with second-order polynomial model and bilinear interpolation algorithm can achieve real-time geographic referencing for remotely sensed imagery

MARKET SURVEY ON TRADITIONAL MEDICINE OF THE THIRD MONTH FAIR IN DALI PREFECTURE IN YUNNAN PROVINCE, SOUTH WEST CHINA

Background: The Third Month Fair in Dali is a historical festival and fair. The market of traditional medicine (TM) is one of the main parts in the fair, which has important influence on local and peripheral people. Materials and Methods: In this study, approaches of ethnobotany, pharmacognosy, and participatory rural appraisal were used in market survey. Twenty-six druggists were selected randomly as informants and their TMs were recorded. Results: As a result, 427 TMs were recorded including 362 plant medicines, 33 animal medicines, 13 mineral medicines and 19 unidentified medicines. Xinyi, Shanza and Gancao were the most popular medicines due to their popular usages, whereas Sanqi, Tianma and Renshen were relatively fewer in this investigation probably owing to high price and limited output. The plant medicines were from medicinal plants of 117 families belonged to Angiosperm, Gymnospermae, Pteridophyta, Bryophyta, Lichenes and Fungi. Asteraceae, Apiaceae and Fabaceae provided the maximum numbers of TMs successively. Moreover, these TMs were mainly from the cultivated especially familiar TMs, which reflected significant progress in utilization and conservation of medicinal resource in China. Conclusion: Medicinal market in the Third Month Fair is the most important traditional bazaar in Yunnan province. This study systematically surveyed TMs in the fair for the first time, analyzing and revealing resource compositions and current market situations. These newly gathered data provided precious information for development of medicine cultivation, resource protection and market management as well as further pharmacognostical, pharmacological and clinical researches

Experimental investigation of the flame retardant and form-stable composite phase change materials for a power battery thermal management system

© 2020 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/.An efficient battery thermal management system (BTMS) will undoubtedlypromote the performance and lifespan of battery packs. In this study, a novelflame-retarded composite PCMs composed by paraffin (PA), expanded graphite (EG), ammonium polyphosphate (APP), red phosphorus (RP) and epoxy resin (ER) has been proposed for battery module. The thermophysical and flame retardant properties are investigated at both macro and micro levels. The results show that the proposed composite PCMs with an APP/RP ratio of 23/10 exhibit the optimum flame retardant performance. Besides, the APP/RP-based composite PCMs for 18650 ternary battery module has also been researched comparing with air cooled and PCM with pure PA modes. The experimental results indicated that the fire retardant PCMs shown significant cooling and temperature balancing advantages for battery module, leading to a 44.7% and 30.1% reduction rate of the peak temperature and the maintenance of the maximum temperature difference within 1.36°C at a 3 C discharge rate for 25°C. Even at 45°C, the temperature uniformity can still be controlled within 5°C. Thus, this research indicates the composite PCM had good flame retardant and form stable properties, it would be utilized in BTMS, energy storage and other fields.Peer reviewe

Structural Optimization and Thermal Management with PCM-Honeycomb Combination for Photovoltaic-Battery Integrated System

© 2022 Xinxi Li et al. This is an open access article distributed under the Creative Commons Attribution License, https://creativecommons.org/licenses/by/4.0/Power lithium–ion batteries retired from the electric vehicles (EVs) are confronting many problems such as environment pollution and energy dissipation. Traditional photovoltaic (PV) battery systems are exhibiting many issues such as being bulky and expensive, high working temperature, and short service span. In order to address these problems, in this study, a novel PV–battery device integrating PV controllers and battery module into an independent device is proposed. Phase change material (PCM) as the energy storage material has been utilized in battery module, and the aluminum honeycomb is combined with PCM to improve the heat conductivity under natural convection conditions. Three types of PV battery systems including the general PV–battery integrated system (G–PBIS), honeycomb PV–battery integrated system (H–PBIS), and honeycomb–paraffin PV–battery integrated system (HP–PBIS) have been investigated in detail. The results reveal that the maximum temperature of the HP–PBIS coupling with the double–layer 10×165×75 mm3 PCM was reduced to 53.72°C, exhibiting an optimum cooling effect among various PV battery systems. Thus, it can be concluded that the aluminum honeycomb provides the structural reliability and good thermal conductivity, and the PCM surrounding battery module can control the temperature rising and balance the temperature uniformly. Besides, the optimum PV–battery integrated system performs a promising future in energy storage fields.Peer reviewedFinal Published versio

MOLECULAR IDENTIFICATION OF ORIGINAL PLANTS OF FRITILLARIAE CIRRHOSAE BULBUS, ATRADTIONAL CHINESE MEDICINE (TCM) USING PLANT DNA BARCODING

Background: DNA barcoding is a widely used tool that enables rapid and accurate identification of species based on standardized DNA regions. Materials and Methods: In this study, potential DNA barcodes, namely three plastid regions (rbcL, trnH-psbA and matK) and one nuclear ribosomal internal transcribed spacer (ITS) were adopted for species identification of original plants of Fritillariae Cirrhosae Bulbus. Results: The rbcL and trnH-psbA regions showed better success rate of PCR amplification and DNA sequencing, as well as superior discriminatory ability. On the contrary, ITS region did not possess effective genetic variation and matK was faced with low success rate of sequencing. Combination of multi-loci sequences could improve identification ability of DNA barcoding. The trnH-psbA + rbcL could discriminate 25% - 100% species based on the Blast, Tree-Building and Distance methods. Conclusion: The potential DNA barcodes could not completely solving species identification of botanic origins of Fritillariae Cirrhosae Bulbus. In future, we should pay more attention to super-barcoding or specific barcode that enhance ability to discriminate the closely related plants

INTERNAL TRANSCRIBED SPACER (ITS), AN IDEAL DNA BARCODE FOR SPECIES DISCRIMINATION IN CRAWFURDIA WALL. (GENTIANACEAE)

Background: DNA barcoding is a technique used to identify species based on species-specific differences in short regions of their DNA. It is widely used in species discrimination of medicinal plants and traditional medicines. Materials and Methods: In the present study, four potential DNA barcodes, namely rbcL, matK, trnH-psbA and ITS (nuclear ribosomal internal transcribed spacer) were adopted for species discrimination in Crawfurdia Wall (Genetiaceae). Discriminatory ability of these DNA barcodes and combinations were evaluated using three classic methods (Distance, Blast and Tree-Building). Results: As a result, ITS, trnH-psbA and rbcL regions showed extremely great universality for a success rate of 100%; whereas matK was disappointing for which only 65% samples gained useful DNA sequences. ITS region performed very well in this study which could clearly and effectively identify the five species in Crawfurdia. On the contrary, trnH-psbA and rbcL were much weaker in discrimination among these species. Conclusion: ITS marker was an ideal DNA barcode in Crawfurdia and it should be incorporated into one of the core barcodes for seed plants

HOW TO CORRECTLY IDENTIFY HERBAL MATERIALS IN MARKET? A CASE STUDY BASED ON DNA BARCODES

Background: Traditional methods for identifying herbal medicines have many shortcomings. In this study, we aim to test discriminating ability of DNA barcodes and explore feasible method on evaluating identification results. Materials and Methods: Materials of whole-plant medicines were sampled from herbal market. 111 samples were used for DNA sequencing of ITS2 and trnH-psbA regions. Assembled sequences were searched against reference database using the BLAST method. Comprehensive evaluation based on pharmacognostic investigation, macroscopic identification and identification of DNA barcodes were performed for authentication of the herbal materials. Results: As a result, ITS2 had better identifying power than trnH-psbA in species-specific level (55.86% & 45.95%), as well as worse success rate of DNA sequencing (74.58% & 94.59%). In total, 89.19% individuals could be identified in genus level at least. Conclusion: It was revealed that DNA barcoding was useful tool in identifying herbal materials. Both ITS2 and trnH-psbA should be incorporated into the standard regions of DNA barcodes for identifying herbal materials

Data-driven assessment of immune evasion and dynamic Zero-COVID policy on fast-spreading Omicron in Changchun

Due to its immune evasion capability, the SARS-CoV-2 Omicron variant was declared a variant of concern by the World Health Organization. The spread of Omicron in Changchun (i.e., the capital of Jilin province in northeast of China) during the spring of 2022 was successfully curbed under the strategy of a dynamic Zero-COVID policy. To evaluate the impact of immune evasion on vaccination and other measures, and to understand how the dynamic Zero-COVID measure stopped the epidemics in Changchun, we establish a compartmental model over different stages and parameterized the model with actual reported data. The model simulation firstly shows a reasonably good fit between our model prediction and the data. Second, we estimate the testing rate in the early stage of the outbreak to reveal the real infection size. Third, numerical simulations show that the coverage of vaccine immunization in Changchun and the regular nucleic acid testing could not stop the epidemic, while the 'non-pharmaceutical' intervention measures utilized in the dynamic Zero-COVID policy could play significant roles in the containment of Omicron. Based on the parameterized model, numerical analysis demonstrates that if one wants to achieve epidemic control by fully utilizing the effect of 'dynamic Zero-COVID' measures, therefore social activities are restricted to the minimum level, and then the economic development may come to a halt. The insight analysis in this work could provide reference for infectious disease prevention and control measures in the future