KnowPulse ( https://knowpulse.usask.ca ) is a breeder-focused web portal for pulse breeders and geneticists. With a focus on diversity data, KnowPulse provides information on genetic markers, sequence variants, phenotypic traits and germplasm for chickpea, common bean, field pea, faba bean, and lentil. Genotypic data is accessible through the genotype matrix tool, displayed as a marker-by-germplasm table of genotype calls specific to germplasm chosen by the researcher. It is also summarized on genetic marker and sequence variant pages. Phenotypic data is visualized in trait distribution plots: violin plots for quantitative data and histograms for qualitative data. These plots are accessible through trait, germplasm, and experiment pages, as well as through a single page search tool. KnowPulse is built using the open-source Tripal toolkit and utilizes open-source tools including, but not limited to, species-specific JBrowse instances, a BLAST interface, and whole-genome CViTjs visualizations. KnowPulse is constantly evolving with data and tools added as they become available. Full integration of genetic maps and quantitative trait loci is imminent, and development of tools exploring structural variation is being explored.
The Luliang and Baoshan basins of Yunnan Province are two small-sized continental oil/gas-bearing sedimentary basins, which were developed at the bases of the Carboniferous and Devonian systems during the Late Tertiary, covering an area of 325 km 2 and 254 km 2 , respectively. Since the 1990s, there have been discovered small-sized natural gas pools in these two basins. The natural gases are composed mainly of hydrocarbon gases, with nonhydrocarbons accounting for less than 2%. Of the hydrocarbon gases, methane accounts for more than 99%, and the components above C 2 account for less than 0.2%. On the basis of previous studies of geological background, the composition of natural gases and their carbon isotopic composition, it has been defined that these two gas pools are of bacterial origin. In this work we have comprehensively measured the carbon and hydrogen isotopic composition of natural gases from these two basins and have gone into the details of the mechanism of gas generation. The δ 13 C 1 values of natural gases from the Luliang Basin are within the range of -72.1‰--73.3‰, and the δ D CH 4 values, -242‰--234‰, indicating that the bacterial gas generation is dominated by the way of CO 2 reduction. It has been evidenced that under continental-facies fresh water conditions there did occur the CO 2 reduction as a process of bacterial gas generation. The δ 13 C 1 values of natural gases from the Baoshan Basin are within the range of -62.5‰--63.5‰, and the δ D CH 4 values, -252‰--260‰. These isotopic characteristics are fallen into transitional phase of acetate fermentation and CO 2 reduction as defined by Whiticar et al. (1986). An important discovery in the Luliang Basin is the carbon isotopic composition of ethane of purely biogenetic origin, i.e., its δ 13 C 2 values are within the range of -61.2‰--66.0‰. These carbon isotopic values have been reported for the first time in China. As compared to the δ 13 C 2 values of less than -55‰ for the two cases encountered previously in the world, a significant difference is that in the latter two cases there are obvious signs of contamination caused by ethane of thermal origin. So it cannot be ruled out that the light δ 13 C 2 values are the result of isotope fractionation of ethane of thermal origin. The δ 13 C 2 values of natural gases from the Luliang Basin are all less than -60‰, and
As potential ‘hidden champion’ companies originating from Germany, specialized and innovative ‘little giant’ enterprises (LGEs) have become role models for small and medium-sized enterprises (SMEs) in China and have been considered important actors in the strategy of ‘strengthening and supplementing national supply chains’. Based on the exogenous growth theory of the firm, this article takes the perspective of the ‘dual circulation’ new development pattern of China and analyses the spatial patterns and their determinants of LGEs using the data of national-level LGEs from 2019 to 2021 and the geographical weighted regression method. The following results were obtained: (1) the national-level LGEs show the spatial distribution pattern of ‘east–central–west’ decline and are highly concentrated in Beijing–Tianjin–Hebei, the Yangtze River Delta, the Pearl River Delta and other national urban agglomerations and small-scale agglomeration in the capital cities of inland underdeveloped provinces. (2) The domestic and international circulations jointly affect the spatial distribution of LGEs. Local institutional thickness has the largest and widest impact, followed by local industrial synergy. The impact of global linkage is relatively stable. (3) The impacts of the main determinants have spatial heterogeneity. The positive impact of local government support shows a decreasing differentiation law from east to west, and local industrial synergy is mainly significant in the east area of Northeast China, Bohai Rim, Shandong Peninsula, and Huang-Huai-hai Plain. The spatial heterogeneity of the effect of international circulation comes from the difference in marginal effects among regions and the influence of the Belt and Road Initiative. The positive impact of FDI is mainly concentrated in the northeast and southwest regions. This article highlights the importance of the domestic value chain in the strategy of Innovative China, and proves that varying global-local nexus of cities creates ‘soils’ with varying fertility in which LGEs thrives as well.
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