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In this paper, in the context of rural revitalization + data platform, a grassroots employment platform for college students is designed according to the data architecture, and the data is processed hierarchically to achieve the organization and knowledge accumulation of cross-domain employment data, which makes multiple employment data standardized. Using data analysis parallelization algorithm and dimensionality reduction operation method, the training data are read and loaded into the distributed memory of the employment data platform to select the best employment features. According to the design platform of this paper, the employment rate for those employed in the eastern region and 80.16% in the central region has reached 91.15%. This paper's design model can improve employee efficiency and expand the grassroots employment space of college students, as indicated.

This paper performs feature extraction based on the Bayesian nonparametric model for smart sports courses to analyze the Gaussian process principle for composing random variables. The probability distribution of the parameters is estimated based on the known data set, given the input data vector to decompose the likelihood function. To calculate the posterior probabilities of the parameters, the kernel function features are analyzed to give the expressions of eigenvalues and eigenvectors, and data normalization is performed. According to the results, the experimental group had higher sports test scores than the control group, and the third test score of high-speed running reached 9 points. Therefore, colleges and universities should focus on cultivating students' innovative thinking abilities and helping them master sports knowledge and skills to achieve their educational goals.

This is a paper in the field of mineral processing engineering. Application of ultra-fine grinding technology to treat phosphate ore can change the physical and chemical properties of phosphate containing minerals in phosphate ore, thus improving the dissolution and release of phosphorus in phosphate ore, so that it can be used as phosphate fertilizer. As an ultra-fine grinding equipment, the feasibility of using stirred mill to treat phosphate ore and the research on the influence of process parameters on grinding effect are not perfect. A phosphate ore in Hebei Province was wet ground by a vertical stirring mill in this paper.The particle size distribution of the ground product was detected by NKT6100-D laser particle size analyzer.The effect of grinding process parameters on the particle size composition of product and the content of newly formed particles was explored, and the product particle size was parametrically analyzed by R-R equation to determine the more appropriate operating process parameters. The results showed that under the conditions of agitator speed of 550 r/min, grinding concentration of 65%, filling rate of 60%, feed to ball ratio of 0.5 and grinding time of 30 min, the available phosphorus content and phosphorus solubility in citric acid of 8.75% and 74.03%, particle characteristic parameter b of 0.371 and uniformity coefficient n of 1.426 were obtained. It can be seen that it is feasible to use a vertical stirring mill for ultra-fine grinding of phosphate ore.

Abstract Introduction This study examines the associations between asthma and nitric oxide (NO) synthase (NOS) gene polymorphisms. Methods After a systematic literature search in electronic databases, studies were selected based on eligibility criteria. Data were extracted from research articles and were synthesized and tabulated. Where a particular polymorphism data were reported by multiple studies, meta‐analyses of odds ratios were performed, or odds ratios reported by individual studies were pooled. Results Twenty studies (4450 asthma patients and 5306 non‐asthmatic individuals) were identified. Many studies did not find any association between CCTTT repeat polymorphism in NOS2 gene and asthma. However, a study reported that pretreatment mean exhaled NO levels in asthmatics were found to be significantly higher in genotypes with higher number of CCTTT repeats. Also, alleles with

Hainan yellow cattle are indigenous Zebu cattle from southern China known for their tolerance of heat and strong resistance to disease. Generations of adaptation to the tropical environment of southern China and decades of artificial breeding have left identifiable selection signals in their genomic makeup. However, information on the selection signatures of Hainan yellow cattle is scarce. Herein, we compared the genomes of Hainan yellow cattle with those of Zebu, Qinchuan, Nanyang, and Yanbian cattle breeds by the composite likelihood ratio method (CLR), Tajima’s D method, and identifying runs of homozygosity (ROHs), each of which may provide evidence of the genes responsible for heat tolerance in Hainan yellow cattle. The results showed that 5210, 1972, and 1290 single nucleotide polymorphisms (SNPs) were screened by the CLR method, Tajima’s D method, and ROH method, respectively. A total of 453, 450, and 325 genes, respectively, were identified near these SNPs. These genes were significantly enriched in 65 Gene Ontology (GO) functional terms and 11 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (corrected p < 0.05). Five genes—Adenosylhomocysteinase-like 2, DnaJ heat shock protein family (Hsp40) member C3, heat shock protein family A (Hsp70) member 1A, CD53 molecule, and zinc finger and BTB domain containing 12—were recognized as candidate genes associated with heat tolerance. After further functional verification of these genes, the research results may benefit the understanding of the genetic mechanism of the heat tolerance in Hainan yellow cattle, which lay the foundation for subsequent studies on heat stress in this breed.