Research on the Approach and Strategy of Traditional Logistics Enterprise Transformation Under the Context of the Internet

In order to study the approach and strategy of traditional logistics enterprises to transform to green logistics enterprises under the background of the Internet. In Sichuan province, 1,203 samples were taken and analyzed by SPSS data. Finally, the influence factors of consumers’ usage intentions are obtained. Based on the influence factors, the packaging and lines are designed to ensure the recycle. At the same time, the damage detection function of relevant magnetic stripe is used as auxiliary function, collecting the data information of consumers

Integrated Application and Improvement of Selection Method of Storage Sales Industry

In recent years, in order to adapt to the rapid development of the warehouse-storage sales industry and to solve the problems of location cost and efficiency and optimization of the methods of the new retail store, we have integrated and innovated the barycenter method and grey correlation method, and analyzed the grey correlation method with the weight obtained by the comprehensive analysis. In order to achieve the optimal cost effect, we choose the optimal solution from several alternative address schemes. It is found that using the integrated method as the reference standard for the location calculation of Warehouse Logistics Enterprises under the new retail background is helpful to improve the accuracy rate, and reduce the defects and defects caused by the independent use of the various methods, and adapt to the more practical and concrete conditions of the location selection of warehouse storage enterprises. At the same time, it is also an innovative attempt to cross discrete and continuous boundaries

Fatigue process of rib-to-deck welded joints of orthotropic steel decks

The numerous welded joints in orthotropic steel decks (OSDs) lead to a high probability of fatigue damage. One of the most detrimental problems is the severe reduction of the serviceability due to cracks in rib-to-deck welded joints, which require in-depth studies on the entire fatigue process. The linear elastic fracture mechanics has been proven to be effective in this aspect. When put into practice on actual projects, however, its accuracy and feasibility are largely dependent on features in various scales. This paper presents an investigation on the fatigue behavior of orthotropic steel decks with respect to multiscale concerns. By performing fatigue tests on OSD specimens welded by 15-mm-thick deck plates and 6-mm-thick stiffeners of S355 steel, the rib-to-deck weld toe crack that penetrates the deck plate is produced and the crack growth path is addressed using beach mark method. Afterwards, a two-dimensional local model of the rib-to-deck weld toe crack is built using the extended finite element method by which the stress intensity factors for early-stage cracks can be obtained. Based on the similar concept of nominal stresses, it can easily be linked to the macroscopic model and forms a non-concurrent method that enables to simulate the crack growth at rib-to-deck weld toe. As a result, a crack growth rate curve for the test specimen is given and different stages are analyzed with respect to the Paris law, indicating a clear influence of the early-stage fatigue cracks. The material constants of crack growth are obtained and validated, which may further be introduced to the fatigue assessment and life estimation for the maintenance work of OSDs

ARGONAUTE PIWI domain and microRNA duplex structure regulate small RNA sorting in Arabidopsis.

Small RNAs (sRNAs) are loaded into ARGONAUTE (AGO) proteins to induce gene silencing. In plants, the 5'-terminal nucleotide is important for sRNA sorting into different AGOs. Here we show that microRNA (miRNA) duplex structure also contributes to miRNA sorting. Base pairing at the 15th nucleotide of a miRNA duplex is important for miRNA sorting in both Arabidopsis AGO1 and AGO2. AGO2 favours miRNA duplexes with no middle mismatches, whereas AGO1 tolerates, or prefers, duplexes with central mismatches. AGO structure modelling and mutational analyses reveal that the QF-V motif within the conserved PIWI domain contributes to recognition of base pairing at the 15th nucleotide of a duplex, while the DDDE catalytic core of AtAGO2 is important for recognition of the central nucleotides. Finally, we rescued the adaxialized phenotype of ago1-12, which is largely due to miR165 loss-of-function, by changing miR165 duplex structure which we predict redirects it to AGO2

5-{(2S,3R,4S,5S,6R)-3,4-Dihydr­oxy-6-hydroxy­meth­yl-3-[(2S,3R,4R,5R,6S)-3,4,5-trihydr­oxy-6-methyl­tetra­hydro­pyran-2-yloxy]tetra­hydro­pyran-2-yloxy}­-7-hydr­oxy-2-(4-hydroxy­phen­yl)chromen-4-one monohydrate

In the title compound, C27H30O14·H2O, the hydroxy­phenyl ring makes a dihedral angle of 20.05 (11)° with the chromenone ring system. The crystal structure is stabilized by intra- and inter­molecular O—H⋯O hydrogen bonds. The absolute configuration was assigned on the basis of an analagous structure

Investigating the Short-Term Effects of Cold Stress on Metabolite Responses and Metabolic Pathways in Inner-Mongolia Sanhe Cattle

Inner-Mongolia Sanhe cattle are well-adapted to low-temperature conditions, but the metabolic mechanisms underlying their climatic resilience are still unknown. Based on the 1H Nuclear Magnetic Resonance platform, 41 metabolites were identified and quantified in the serum of 10 heifers under thermal neutrality (5 °C), and subsequent exposure to hyper-cold temperature (−32 °C) for 3 h. Subsequently, 28 metabolites were pre-filtrated, and they provided better performance in multivariate analysis than that of using 41 metabolites. This indicated the need for pre-filtering of the metabolome data in a paired experimental design. In response to the cold exposure challenge, 19 metabolites associated with cold stress response were identified, mainly enriched in “aminoacyl-tRNA biosynthesis” and “valine, leucine, and isoleucine degradation”. A further integration of metabolome and gene expression highlighted the functional roles of the DLD(dihydrolipoamide dehydrogenase), WARS (tryptophanyl-tRNA synthetase), and RARS(arginyl-tRNA synthetase) genes in metabolic pathways of valine and leucine. Furthermore, the essential regulations of SLC30A6 (solute carrier family 30 (zinc transporter), member 6) in metabolic transportation for propionate, acetate, valine, and leucine under severe cold exposure were observed. Our findings presented a comprehensive characterization of the serum metabolome of Inner-Mongolia Sanhe cattle, and contributed to a better understanding of the crucial roles of regulations in metabolites and metabolic pathways during cold stress events in cattle

Protecting public’s wellbeing against COVID-19 infodemic: The role of trust in information sources and rapid dissemination and transparency of information over time

ObjectivesThis study examined how trust in the information about COVID-19 from social media and official media as well as how the information was disseminated affect public’s wellbeing directly and indirectly through perceived safety over time.MethodsTwo online surveys were conducted in China, with the first survey (Time1, N = 22,718) being at the early stage of the pandemic outbreak and the second one (Time 2, N = 2,901) two and a half years later during the zero-COVID policy lockdown period. Key measured variables include trust in official media and social media, perceived rapid dissemination and transparency of COVID-19-related information, perceived safety, and emotional responses toward the pandemic. Data analysis includes descriptive statistical analysis, independent samples t-test, Pearson correlations, and structural equation modeling.ResultsTrust in official media, perceived rapid dissemination and transparency of COVID-19-related information, perceived safety, as well as positive emotional response toward COVID-19 increased over time, while trust in social media and depressive response decreased over time. Trust in social media and official media played different roles in affecting public’s wellbeing over time. Trust in social media was positively associated with depressive emotions and negatively associated with positive emotion directly and indirectly through decreased perceived safety at Time 1. However, the negative effect of trust in social media on public’s wellbeing was largely decreased at Time 2. In contrast, trust in official media was linked to reduced depressive response and increased positive response directly and indirectly through perceived safety at both times. Rapid dissemination and transparency of COVID-19 information contributed to enhanced trust in official media at both times.ConclusionThe findings highlight the important role of fostering public trust in official media through rapid dissemination and transparency of information in mitigating the negative impact of COVID-19 infodemic on public’s wellbeing over time

Spatiotemporal genomic analysis reveals distinct molecular features in recurrent stage I non-small cell lung cancers

Stage I non-small cell lung cancer (NSCLC) presents diverse outcomes. To identify molecular features leading to tumor recurrence in early-stage NSCLC, we perform multiregional whole-exome sequencing (WES), RNA sequencing, and plasma-targeted circulating tumor DNA (ctDNA) detection analysis between recurrent and recurrent-free stage I NSCLC patients (CHN-P cohort) who had undergone R0 resection with a median 5-year follow-up time. Integrated analysis indicates that the multidimensional clinical and genomic model can stratify the prognosis of stage I NSCLC in both CHN-P and EUR-T cohorts and correlates with positive pre-surgical deep next generation sequencing (NGS) ctDNA detection. Increased genomic instability related to DNA interstrand crosslinks and double-strand break repair processes is significantly associated with early tumor relapse. This study reveals important molecular insights into stage I NSCLC and may inform clinical postoperative treatment and follow-up strategies

Polymorphisms in Epigenetic and Meat Quality Related Genes in Fourteen Cattle Breeds and Association with Beef Quality and Carcass Traits

Improvement for carcass traits related to beef quality is the key concern in beef production. Recent reports found that epigenetics mediates the interaction of individuals with environment and nutrition. The present study was designed to analyze the genetic effect of single nucleotide polymorphisms (SNPs) in seven epigenetic-related genes (DNMT1, DNMT3a, DNMT3b, DNMT3L, Ago1, Ago2, and HDAC5) and two meat quality candidate genes (CAPN1 and PRKAG3) on fourteen carcass traits related to beef quality in a Snow Dragon beef population, and also to identify SNPs in a total of fourteen cattle populations. Sixteen SNPs were identified and genotyped in 383 individuals sampled from the 14 cattle breeds, which included 147 samples from the Snow Dragon beef population. Data analysis showed significant association of 8 SNPs within 4 genes related to carcass and/or meat quality traits in the beef populations. SNP1 (13154420A>G) in exon 17 of DNMT1 was significantly associated with rib-eye width and lean meat color score (pG) of DNMT3a was significantly associated with six beef quality traits. Those individuals with the wild-type genotype AA of DNMT3a showed an increase in carcass weight, chilled carcass weight, flank thicknesses, chuck short rib thickness, chuck short rib score and in chuck flap weight in contrast to the GG genotype. Five out of six SNPs in DNMT3b gene were significantly associated with three beef quality traits. SNP15 (45219258C>T) in CAPN1 was significantly associated with chuck short rib thickness and lean meat color score (p<0.05). The significant effect of SNP15 on lean meat color score individually and in combination with each of other 14 SNPs qualify this SNP to be used as potential marker for improving the trait. In addition, the frequencies of most wild-type alleles were higher than those of the mutant alleles in the native and foreign cattle breeds. Seven SNPs were identified in the epigenetic-related genes. The SNP15 in CAPN1 could be used as a powerful genetic marker in selection programs for beef quality improvement in the Snow Dragon Beef population