Effect of medical innovation policies on the prevention and control of the COVID-19 and the impact of the "Belt and Road" economy.

With the spread of the COVID-19, it is urgent for everyone to protect themselves. The introduction of the medical innovation policy has also brought certain effects to the prevention and control of the COVID-19. The specific effect will be reflected in the following research. This paper firstly analyzed research results related to medical innovation policy, COVID-19 prevention and control, and the "One Belt, One Road" economy, finding out the content that fits this research, and innovates the research work on this basis. Then, this paper provided a detailed explanation of medical innovation policies, the prevention and control of the COVID-19, and the "One Belt, One Road" economy. Among them, this paper focuses on the "One Belt and One Road," uses the α-convergence model to analyze the economic changes of the "One Belt and One Road," and conducts experimental tests in the medical field. The results have shown that from 2017 to 2019, the average hospitalization expenses paid by the pooled funds were 4986.19, 4997.34, and 4888.60 yuan, respectively.

New insights into the accumulation of vitamin B3 in Torreya grandis nuts via ethylene induced key gene expression.

Vitamin B3, derived primarily from plant sources, is an essential nutrient for humans. Torreya grandis is rich in vitamin B3, however, the mechanism underlying the biosynthesis and regulation of vitamin B3 in T. grandis remains unclear. A systematic transcriptomic investigation was thus conducted to identify the gene expression pattern of vitamin B3 biosynthesis in 10 T. grandis cultivars. The findings suggest that biosynthesis occurs mainly via the aspartate pathway. Expression and correlation analyses indicate that aspartate oxidase (AOX) and quinolinate synthase (QS) may play important roles in vitamin B3 accumulation. Furthermore, co-expression network and ethephon treatments indicate that the ethylene response factor (ERF) may be involved in the regulation of vitamin B3 biosynthesis in T. grandis nuts. Our findings not only help to elucidate the biosynthesis of vitamin B3, but also provide valuable resource material for future genomic research and molecular-assisted breeding to develop genotypes with higher vitamin B3 levels.

COVID-19's Impact on China's Strategic Emerging Industries: An Observation of Policy Difficulties.

The study investigates the influence of the COVID-19 on the rate of R&D investment and foreign exchange development of China's most important emerging industry firms. From 2010 to 2020, data were collected from 26 locations across China, focusing on seven different types of critical creating companies. To analyze the data, we have applied Fourier Increased Unit Root Test, Granger causality assessments test, Pattern Assessment test, Poisson pseudo most excellent probability (PPML) approach, Wald test, and Regression analysis test. The results of the tests reveal a clear underlying association among COVID-19 relates Chinese exports and imports. COVID-19's instant effects on imports and exports lack working capital have been calculated, but the short-term, medium-to-long-term products are composite and unidentified. The article result main results are following: (i) The COVID-19 impacts the R&D investment is main industries like as high-end equipment industry, new materials industry, and new-era data innovation. (ii) The COVID-19 highly affects the imports and exports development network of Chinese strategic emerging industries which emphasizes cross-industry grouping features. The study provides the guidance to the future researchers to focus on COVID-19 affects on the strategic emerging industries of developed and underdeveloped countries to determine of foreign direct investment inflow and unemployment growth rates. JEL: G20, O10, O40.

Effect of Temperature and Humidity on Oil Quality of Harvested Torreya grandis cv. Merrillii Nuts During the After-Ripening Stage.

Temperature and relative humidity (RH) influence post-harvest ripening, a crucial stage for quality promotion in some oil plants or fruits. Torreya grandis cv. Merrillii nuts, which are rich in unsaturated fatty acids (UFA), are easily affected by temperature and humidity, and they oxidize quickly during the post-harvest ripening stage, leading to the deterioration of nut quality. In this study, the main nutraceutical components, fatty acid composition, and related metabolic parameters of lipid rancidity under four treatments (20°C and 70% RH, T20-LH; 30°C and 70% RH, T30-LH; 20°C and 90% RH, T20-HH; 30°C and 90% RH, T30-HH) were measured. The post-harvest ripening process was advanced under HH treatments (T20-HH and T30-HH) compared to LH treatments (T20-LH and T30-LH) and was associated with a shorter time for the seed coat to turn dark black and a faster reduction in starch content. The amount of unsaturated fatty acids significantly increased under the T20-HH treatment, but significantly decreased under the T30-HH treatment from 12 to 16 d of ripening time. The acid value (AV) and lipase activity under the T30-HH treatment remained virtually constant from 12 to 16 d of ripening time, and this was accompanied by a dramatic increase in peroxide value (POV), lipoxygenase (LOX) activity, and relative expression of the LOX2 gene. Meanwhile, a significant positive correlation between LOX activity and POV, malondialdehyde (MDA) content, and O2⋅- content was observed. The results imply that the lower amount of oxidative rancidity induced by the T20-HH treatment is related to the LOX activity induced by down-regulation of the LOX2 gene during the late after-ripening stage. Therefore, the T20-HH treatment not only promoted the post-harvest process of T. grandis 'Merrillii' nuts but also delayed lipid oxidation, which was ultimately associated with better oil quality at the late after-ripening stage.

Constructing a linkage-linkage disequilibrium map using dominant-segregating markers.

The relationship between linkage disequilibrium (LD) and recombination fraction can be used to infer the pattern of genetic variation and evolutionary process in humans and other systems. We described a computational framework to construct a linkage-LD map from commonly used biallelic, single-nucleotide polymorphism (SNP) markers for outcrossing plants by which the decline of LD is visualized with genetic distance. The framework was derived from an open-pollinated (OP) design composed of plants randomly sampled from a natural population and seeds from each sampled plant, enabling simultaneous estimation of the LD in the natural population and recombination fraction due to allelic co-segregation during meiosis. We modified the framework to infer evolutionary pasts of natural populations using those marker types that are segregating in a dominant manner, given their role in creating and maintaining population genetic diversity. A sophisticated two-level EM algorithm was implemented to estimate and retrieve the missing information of segregation characterized by dominant-segregating markers such as single methylation polymorphisms. The model was applied to study the relationship between linkage and LD for a non-model outcrossing species, a gymnosperm species, Torreya grandis, naturally distributed in mountains of the southeastern China. The linkage-LD map constructed from various types of molecular markers opens a powerful gateway for studying the history of plant evolution.

Applying different independent component analysis algorithms and support vector regression for IT chain store sales forecasting.

Sales forecasting is one of the most important issues in managing information technology (IT) chain store sales since an IT chain store has many branches. Integrating feature extraction method and prediction tool, such as support vector regression (SVR), is a useful method for constructing an effective sales forecasting scheme. Independent component analysis (ICA) is a novel feature extraction technique and has been widely applied to deal with various forecasting problems. But, up to now, only the basic ICA method (i.e., temporal ICA model) was applied to sale forecasting problem. In this paper, we utilize three different ICA methods including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA) to extract features from the sales data and compare their performance in sales forecasting of IT chain store. Experimental results from a real sales data show that the sales forecasting scheme by integrating stICA and SVR outperforms the comparison models in terms of forecasting error. The stICA is a promising tool for extracting effective features from branch sales data and the extracted features can improve the prediction performance of SVR for sales forecasting.

Genetic linkage map construction and QTL identification of juvenile growth traits in Torreya grandis.

Torreya grandis Fort. ex Lindl, a conifer species widely distributed in Southeastern China, is of high economic value by producing edible, nutrient seeds. However, knowledge about the genome structure and organization of this species is poorly understood, thereby limiting the effective use of its gene resources. Here, we report on a first genetic linkage map for Torreya grandis using 96 progeny randomly chosen from a half-sib family of a commercially cultivated variety of this species, Torreya grandis Fort. ex Lindl cv. Merrillii. The map contains 262 molecular markers, i.e., 75 random amplified polymorphic DNAs (RAPD), 119 inter-simple sequence repeats (ISSR) and 62 amplified fragments length polymorphisms (AFLP), and spans a total of 7,139.9 cM, separated by 10 linkage groups. The linkage map was used to map quantitative trait loci (QTLs) associated with juvenile growth traits by functional mapping. We identified four basal diameter-related QTLs on linkage groups 1, 5 and 9; four height-related QTLs on linkage groups 1, 2, 5 and 8. It was observed that the genetic effects of QTLs on growth traits vary with age, suggesting the dynamic behavior of growth QTLs. Part of the QTLs was found to display a pleiotropic effect on basal diameter growth and height growth.

[Photosynthetic acclimation to elevated CO2 in strawberry leaves grown at different levels of nitrogen nutrition].

Photosynthetic characteristics of strawberry (Fragaria ananassa Duch cv. 'Toyonoka') leaves grown in either elevated CO(2) (700 microL/L) or ambient CO(2) (390 microL/L), and at three levels of nitrogen nutrition (12 mmol/L, 4 mmol/L, 0.4 mmol/L) were studied. The results showed that for strawberry grown in 12 mmol/L nitrogen, P(n), maximal carboxylation rate (V(c, max)), maximal linear electron flow through photosystem II (J(max)), electron flow to the photosynthetic carbon reduction cycle (J(c)) and q(P) were all significantly higher in plants grown and measured at elevated CO(2) than for plants grown and measured at ambient CO(2) (Table 1 and 2, Fig. 2), which were due to a significant increase in J(c) exceeding any suppression of electron flow to the photorespiratory carbon oxidation cycle (J(o)). This increase in photochemistrical quenching with decreased non-photochemistrical quenching (q(N) or NPQ) at elevated CO(2) alleviated photoinhibition by high light (Table 2, Fig. 3). For plants grown at 4 mmol/L and 0.4 mmol/L nitrogen, P(n), V(c, max), J(c) and q(P) were all significantly lower in plants grown and measured at elevated CO(2) than for plants grown and measured at ambient CO(2) (Table 1 and 2, Fig. 2). Consistent with decreased photochemistrical quenching and increased non-photochemistrical quenching (q(N) or NPQ), for leaves grown at 4 mmol/L and 0.4 mmol/L nitrogen, the photoinhibition was aggravated by elevated CO(2) (Table 2, Fig. 3). Elevated CO(2) suppressed J(o) in leaves of plants grown at 12 mmol/L, 4 mmol/L and 0.4 mmol/L nitrogen (Fig. 2). The results above suggested that deficient nitrogen (4 mmol/L and 0.4 mmol/L nitrogen) and elevated CO(2) result in an acclimatory decrease of photosynthesis in leaves of plant grown in elevated CO(2).