101 research outputs found
Shang shu at the end of the 5th century and its influence on the poetics of Liu Xie's treatise The Literary Mind and the Carving of Dragons
No full textThe article is devoted to one of the most important issues for the study of Chinese canons - the emergence and spread of the Kong Anguo Shang shu . The article deals with the first use of quotations from the Kong Ango’s version in the treatise The Literary Mind and the Carving of Dragons and its influence on the literary theory of Liu Xie
Two⁃dimensional correlation infrared spectroscopy and hyperspectral imaging to detect the changes of polysaccharide during the drying process of Polygonatum sibiricum
No full textObjectiveTo study the changes of polysaccharide in the drying process of "one steam and one preparation" of Polygonatum sibiricum.MethodsThe slices were steamed by atmospheric pressure water isolation steaming, and then dried by heat pump at 60 ℃. Near infrared spectroscopy (NIR), hyperspectral imaging (HSI) and middle and far infrared spectroscopy were used to analyze the characteristic spectra of the drying process of Polygonatum sibiricum, and the changes of polysaccharide during the drying process were studied by combining two-dimensional correlation infrared spectroscopy (2D-IR) analysis method.ResultsThe content of polysaccharide was 3.39% after steam heating for 11 h, and 6.67% after drying for 11 h. The content of polysaccharide showed a gradual increase during the drying process. Through two-dimensional correlation analysis, it was showed that the characteristic functional groups of polysaccharides were constantly changing. And at 1 016 cm-1, the sequence of functional group changes was C—H stretching of —CH2 → stretching and deformation of O—H group in water → stretching vibration of N—H group → combination of O—H stretching and C—O stretching → combination of C—H stretching and C—C stretching → glucopyranoside. HSI technology combined with chemometrics, PLSR was used to establish the spectral prediction model of polysaccharide, and the Rp2 of the model was 0.903.ConclusionInfrared spectroscopy, HSI technology combined with 2D-IR technology can well monitor the changes of polysaccharide in the drying process of Polygonatum sibiricum
Research on the Significance and Strategy of Health Qigong Incorporating into Community Care Services
No full textThe mechanical properties of TCP phase of rapidly cooled molybdenum
No full textThe rapidly-cooling of pure molybdenum (Mo) at 1010 Ks−1 and the uniaxial tensile of the solid at a strain rate of 2 × 10 s−1 were studied by molecular dynamics simulation; then the structure evolution was investigated in terms of pair distribution function and the largest standard cluster analysis. It is found that Mo melt was cooled into a complex crystal with multiple characteristic lengths. Further analysis revealed that it is a mixture topological close packing (TCP) crystal composed of the dominated A15 phase (Mo-A15) and the less Z phase, with H phase as twin grain boundary. The Phonon spectrum, potential energy, and cohesion energy revealed that Mo-A15 is stable slightly inferior to Mo-bcc. Compared to the prevailing bcc Mo, Mo-A15 holds much higher Young’s modulus, ultimate tensile strength, and Yield strength, being a representative material for barrier layer with high hardness
Monitoring the Aging and Edible Safety of Pork in Postmortem Storage Based on HSI and Wavelet Transform
No full textThe process of meat postmortem aging is a complex one, in which improved tenderness and aroma coincide with negative effects such as water loss and microbial growth. Determining the optimal postmortem storage time for meat is crucial but also challenging. A new visual monitoring technique based on hyperspectral imaging (HSI) has been proposed to monitor pork aging progress. M. longissimus thoracis from 15 pigs were stored at 4 °C for 12 days while quality indexes and HSI spectra were measured daily. Based on changes in physical and chemical indicators, 100 out of the 180 pieces of meat were selected and classified into rigor mortis, aged, and spoilt meat. Discrete wavelet transform (DWT) technology was used to improve the accuracy of classification. DWT separated approximate and detailed signals from the spectrum, resulting in a significant increase in classification speed and precision. The support vector machine (SVM) model with 70 band spectra achieved remarkable classification accuracy of 97.06%. The study findings revealed that the aging and microbial spoilage process started at the edges of the meat, with varying rates from one pig to another. Using HSI and visualization techniques, it was possible to evaluate and portray the postmortem aging progress and edible safety of pork during storage. This technology has the potential to aid the meat industry in making informed decisions on the optimal storage and cooking times that would preserve the quality of the meat and ensure its safety for consumption
Detection of Pork Freshness Using NIR Hyperspectral Imaging Based on Genetic Algorithm and Deep Neural Network
No full textTo evaluate the effectiveness of a deep learning which is based intelligent assisted hyperspectral imaging system on the detection of pork freshness indicators, volatile basic nitrogen (TVB-N), total viable count (TVC), and 900~2500 nm near-infrared spectral data were collected from pork which were refrigerated at 4 ℃ for 12 days. Based on Python's TensorFlow and Keras platform, hyperspectral data was processed and a quantitative detection model of deep neural network was also established. And the characteristic spectral bands related to pork freshness were selected by genetic algorithm (GA). The results showed that the performance of the spectral model could be improved significantly by selecting the band of genetic algorithm. When the number of spectral bands reached 35 and 50, the prediction accuracy of GA+ANN model was higher than that of full-band linear regression model. The predictive performance of TVC was better than that of TVB-N, and the best Rp2 and RMSEP of TVC were 0.877 and 0.575, respectively. The best Rp2 and RMSEP for TVB-N were 0.826 and 1.01, respectively. In addition, it was also found that the NIR band selected by genetic algorithm had a high coincidence with the molecular vibration absorption bands of meat, such as O-H, N-H, C=O and so on. This study provides a new method which can be used for processing the near-infrared and hyperspectral data, and also provides a technical reference for rapid nondestructive testing of pork and other meat freshness
Assessing the Carbon Emission Driven by the Consumption of Carbohydrate-Rich Foods: The Case of China
No full textpeer-reviewedBackground: Carbohydrate-rich (CR) foods are essential parts of the Chinese diet.
However, CR foods are often given less attention than animal-based foods. The objectives of this
study were to analyze the carbon emissions caused by CR foods and to generate sustainable diets with
low climate impact and adequate nutrients. Methods: Twelve common CR food consumption records
from 4857 individuals were analyzed using K-means clustering algorithms. Furthermore, linear
programming was used to generate optimized diets. Results: Total carbon emissions by CR foods was
683.38g CO2eq per day per capita, accounting for an annual total of 341.9Mt CO2eq. All individuals
were ultimately divided into eight clusters, and none of the popular clusters were low carbon or
nutrient sufficient. Optimized diets could reduce about 40% of carbon emissions compared to the
average current diet. However, significant structural differences exist between the current diet and
optimized diets. Conclusions: To reduce carbon emissions from the food chain, CR foods should be a
research focus. Current Chinese diets need a big change to achieve positive environmental and health
goals. The reduction of rice and wheat-based foods and an increase of bean foods were the focus of
structural dietary change in CR food consumption.Natural Science Foundation of Guangdong Provinc
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