A comprehensive review of the components of nurse-coordinated care which are most effective in preventing coronary heart diseases.

Coronary artery disease occurs when there is inadequate blood flow to the heart muscle as a consequence of coronary artery blockage, resulting in heart muscle failure. During normal heart action, cardiac muscles will always need an adequate supply of blood to fulfill their oxygen requirements. Coronary heart disease is the most common kind of cardiovascular disease in adults and the leading cause of mortality in the United States. Growing understanding of the possible significance of environmental and lifestyle variables in disease development has enhanced the job of the nurse coordinator, whether at a lower or higher level of responsibility, to keep current ondiagnostic procedures, clinical symptoms, and innovative treatment choices. According to the national cardiovascular control program, secondary prevention of cardiovascular disease has increased, including measures such as cholesterol management, blood pressure monitoring, and smoking cessation. If you know more about NCC, it might be easier to figure out what roles it could play and what effects its use might have.

How does financial and manufacturing co-agglomeration affect environmental pollution? Evidence from China.

To investigate the direct influence and mechanism of China's financial and manufacturing co-agglomeration on environmental pollution, we constructed a panel data regression model incorporating mediating and threshold effects with the panel data of 285 prefecture-level cities from 2009 to 2019. The results showed a higher co-agglomeration level significantly increased environmental pollution. The transmission and upgrading from secondary to tertiary industries exhibited a remarkable intermediary role, yet the credit scale formed a nonlinear threshold effect. Both industrial structure optimization and credit scale expansion contributed to environmental protection. Nevertheless, the path of "industrial co-agglomeration → technological progress → environmental protection" was not obvious, and the positive externalities of technology need to be strengthened. These findings provide viable insights for the implementation of financial and manufacturing integration and green development.

The Lineage Differentiation and Dynamic Heterogeneity of Thymic Epithelial Cells During Thymus Organogenesis.

Although much progress has been made recently in revealing the heterogeneity of the thymic stromal components, the molecular programs of cell lineage divergency and temporal dynamics of thymic epithelial cell (TEC) development are largely elusive. Here, we constructed a single-cell transcriptional landscape of non-hematopoietic cells from mouse thymus spanning embryonic to adult stages, producing transcriptomes of 30,959 TECs. We resolved the transcriptional heterogeneity of developing TECs and highlighted the molecular nature of early TEC lineage determination and cortico-medullary thymic epithelial cell lineage divergency. We further characterized the differentiation dynamics of TECs by clarification of molecularly distinct cell states in the thymus developing trajectory. We also identified a population of Bpifa1+ Plet1+ mTECs that was preserved during thymus organogenesis and highly expressed tissue-resident adult stem cell markers. Finally, we highlighted the expression of Aire-dependent tissue-restricted antigens mainly in Aire+ Csn2+ mTECs and Spink5+ Dmkn+ mTECs in postnatal thymus. Overall, our data provided a comprehensive characterization of cell lineage differentiation, maturation, and temporal dynamics of thymic epithelial cells during thymus organogenesis.

The effect of urbanization and spatial agglomeration on carbon emissions in urban agglomeration.

This research attempted to investigate the impact of urbanization and spatial agglomeration on carbon emissions. To achieve the goal, the dynamic panel data model was employed to explore the nonlinear relationship between urbanization and carbon emissions for 166 cities in China taking the period 2005-2015, and the Gini coefficient of urban population size distribution in 15 urban agglomerations were calculated to analyze whether the spatial agglomeration of cities contributed to environmental protection. The results show that there is an inverted U-shaped curve between urbanization and carbon emissions; high-level urbanization development helps reduce carbon emissions; the spatial agglomeration of cities can contribute to carbon reduction to a certain extent based on the empirical results of the spatial agglomeration promotes the early arrival of the inflection point in the inverted U-shaped relationship between urbanization and carbon emissions; and the improvement of urban agglomeration level can present an abatement effect on carbon emissions at a lower urbanization level, which enhances the positive environmental effect of urbanization development compared with the decentralized urban distribution model. Furthermore, there is a significant U-shaped relationship between spatial agglomeration and carbon emissions, which indicates that the scientific planning of urban clusters will achieve economies of scale and agglomeration effect, thereby reducing carbon emissions. These findings contribute to complement the existing literature as well as provide some implications related to sustainable urban development for policymakers.

The dynamic time-varying effects of financial development, urbanization on carbon emissions in the Yangtze River Delta, China.

Based on the time series data of the Yangtze River Delta region from 1993 to 2015, this paper uses the state space model and the mediating effect model to investigate the time-varying effect and its mechanism of financial development (measured by two indicators: financial scale and financial efficiency), urbanization on carbon emissions. The results show a positive in the short term and negative in the long-run impact of financial scale on carbon emissions, while the impact of financial efficiency on carbon emissions is negative in the short term and positive in the long term, and the impact of urbanization on carbon emissions is always positive. Moreover, the results of mediating effect test demonstrate that urbanization is a positive partial mediating effect in the path of financial scale and financial efficiency influencing carbon emissions, and the mediating effect accounts for 71.64% and 61.69% of the total effect, respectively. The mediating effect of financial development includes chain effect and parallel effect; in the chain mediating effect, financial scale has a negative mediating effect with 27.40% of the total effect in the path of urbanization affecting carbon emissions, whereas financial efficiency plays a positive role with 2.07%; in the parallel mediating effect, the individual effect of financial scale and financial efficiency accounts for 24.39% and 1.05%, respectively.

Proteomics reveals key proteins participating in growth difference between fall dormant and non-dormant alfalfa in terminal buds.

To explore the molecular mechanism of growth differences between fall dormant (FD) and non-FD alfalfa, we conducted iTRAQ-based quantitative proteomics on terminal buds of Maverick (FD) and Cuf101 (non-FD) cultivars, identified differential abundance protein species (DAPS) and verified expression profiling of certain corresponding mRNA by qRT-PCR. A total of 3872 protein species were annotated. Of the 90 DAPS, 56 and 34 were respectively up- and down-accumulated in Maverick, compared to Cuf101. They were grouped into 35 functional categories and enriched in seven pathways. Of which, auxin polar transport was up-regulated, while phenylpropanoid biosynthesis, pyruvate metabolism and transportation, vitamin B1 synthesis process and flavonoid biosynthesis were down-regulated in Maverick, comparing with Cuf101. In Maverick, mRNA abundances of l-asparaginase, chalcone and stilbene synthase family protein, cinnamyl alcohol dehydrogenase-like protein, thiazole biosynthetic enzyme, pyruvate dehydrogenase E1 beta subunit, and aldo/keto reductase family oxidoreductase were significantly lower at FD than at other stages, and lower than in Cuf101. We also observed opposite mRNA profiles of thiazole biosynthetic enzyme, chalcone and stilbene synthase family protein, pyruvate dehydrogenase E1 beta subunit in both cultivars from summer to autumn. Our results suggest that these DAPS could play important roles in growth difference between FD and non-FD alfalfa. BIOLOGICAL SIGNIFICANCE: Up to now, as far as we know, currently the proteins related with the growth differences between FD and non-FD alfalfa cultivars in autumn have not yet been identified in terminal buds. This study identified the protein species expressed in alfalfa terminal buds, selected differentially abundant protein species in terminal buds between Maverick (FD) and Cuf101 (non-FD) cultivars in autumn and identified the important protein species participated in the growth differences. This study lays a foundation for further investigation of the molecular mechanism of the growth differences between FD and non-FD alfalfa and the cultivation of advanced alfalfa cultivars.

Screening and identification of key genes regulating fall dormancy in alfalfa leaves.

Fall dormancy (FD) determines the adaptation of an alfalfa variety and affects alfalfa production and quality. However, the molecular mechanism underlying FD remains poorly understood. Here, 44 genes regulating FD were identified by comparison of the transcriptomes from leaves of Maverick (fall-dormant alfalfa) and CUF101(non-fall-dormant), during FD and non-FD and were classified them depending on their function. The transcription of IAA-amino acid hydrolase ILR1-like 1, abscisic acid receptor PYL8, and monogalactosyldiacylglycerol synthase-3 in Maverick leaves was regulated by daylength and temperature, and the transcription of the abscisic acid receptor PYL8 was mainly affected by daylength. The changes in the expression of these genes and the abundance of their messenger RNA (mRNA) in Maverick leaves differed from those in CUF101 leaves, as evidenced by the correlation analysis of their mRNA abundance profiles obtained from April to October. The present findings suggested that these genes are involved in regulating FD in alfalfa.

Digital gene-expression of alfalfa saponin extract on laying hens.

Cardiovascular disease is a major cause of death worldwide, so people are advised to limit their intake of dietary cholesterol [1]. Egg consumption has been seriously reduced because of the high levels of cholesterol [2]. The objective of this study was to evaluate the cholesterol metabolism effects of alfalfa saponin extract (ASE) in liver and ovary tissues using digital gene-expression (DGE) profiling analysis. The liver and ovary tissues were isolated from laying hens fed with ASE for RNA sequencing. Here, we provide detailed experimental methods and analysis pipeline in our study to identify digital gene expression of alfalfa saponin extract on laying hens and analysis pipeline published by Singh and colleagues in the PLOS ONE [3]. The data generated in our work provide meaningful information for understanding the molecular mechanisms underlying the cholesterol-lowering effects of ASE.

De novo characterization of fall dormant and nondormant alfalfa (Medicago sativa L.) leaf transcriptome and identification of candidate genes related to fall dormancy.

Alfalfa (Medicago sativa L.) is one of the most widely cultivated perennial forage legumes worldwide. Fall dormancy is an adaptive character related to the biomass production and winter survival in alfalfa. The physiological, biochemical and molecular mechanisms causing fall dormancy and the related genes have not been well studied. In this study, we sequenced two standard varieties of alfalfa (dormant and non-dormant) at two time points and generated approximately 160 million high quality paired-end sequence reads using sequencing by synthesis (SBS) technology. The de novo transcriptome assembly generated a set of 192,875 transcripts with an average length of 856 bp representing about 165.1 Mb of the alfalfa leaf transcriptome. After assembly, 111,062 (57.6%) transcripts were annotated against the NCBI non-redundant database. A total of 30,165 (15.6%) transcripts were mapped to 323 Kyoto Encyclopedia of Genes and Genomes pathways. We also identified 41,973 simple sequence repeats, which can be used to generate markers for alfalfa, and 1,541 transcription factors were identified across 1,350 transcripts. Gene expression between dormant and non-dormant alfalfa at different time points were performed, and we identified several differentially expressed genes potentially related to fall dormancy. The Gene Ontology and pathways information were also identified. We sequenced and assembled the leaf transcriptome of alfalfa related to fall dormancy, and also identified some genes of interest involved in the fall dormancy mechanism. Thus, our research focused on studying fall dormancy in alfalfa through transcriptome sequencing. The sequencing and gene expression data generated in this study may be used further to elucidate the complete mechanisms governing fall dormancy in alfalfa.

Genome-wide identification of different dormant Medicago sativa L. MicroRNAs in response to fall dormancy.

BACKGROUND: MicroRNAs (miRNAs) are a class of regulatory small RNAs (sRNAs) that regulate gene post-transcriptional expression in plants and animals. High-throughput sequencing technology is capable of identifying small RNAs in plant species. Alfalfa (Medicago sativa L.) is one of the most widely cultivated perennial forage legumes worldwide, and fall dormancy is an adaptive characteristic related to the biomass production and winter survival in alfalfa. Here, we applied high-throughput sRNA sequencing to identify some miRNAs that were responsive to fall dormancy in standard variety (Maverick and CUF101) of alfalfa. RESULTS: Four sRNA libraries were generated and sequenced from alfalfa leaves in two typical varieties at distinct seasons. Through integrative analysis, we identified 51 novel miRNA candidates of 206 families. Additionally, we identified 28 miRNAs associated with fall dormancy in standard variety (Maverick and CUF101), including 20 known miRNAs and eight novel miRNAs. Both high-throughput sequencing and RT-qPCR confirmed that eight known miRNA members were up-regulated and six known miRNA members were down-regulated in response to fall dormancy in standard variety (Maverick and CUF101). Among the 51 novel miRNA candidates, five miRNAs were up-regulated and three miRNAs were down-regulated in response to fall dormancy in standard variety (Maverick and CUF101), and five of them were confirmed by Northern blot analysis. CONCLUSION: We identified 20 known miRNAs and eight new miRNA candidates that were responsive to fall dormancy in standard variety (Maverick and CUF101) by high-throughput sequencing of small RNAs from Medicago sativa. Our data provide a useful resource for investigating miRNA-mediated regulatory mechanisms of fall dormancy in alfalfa, and these findings are important for our understanding of the roles played by miRNAs in the response of plants to abiotic stress in general and fall dormancy in alfalfa.

Deep sequencing of the microRNA expression in fall dormant and non-dormant alfalfa.

MicroRNAs (miRNAs) play a critical role in post-transcriptional gene regulation that down-regulates target genes by mRNA degradation or translational repression. Evidence is increasing for their crucial roles during plant development. Identification of miRNAs at the global genome-level by high-throughput sequencing is essential to functionally characterize miRNAs in plants. Alfalfa (Medicago sativa L.) is one of the most widely cultivated perennial forage legumes worldwide. Fall dormancy is an adaptive character related to the biomass production and winter survival in alfalfa. However, little is known about miRNA-mediated developmental regulation of fall dormancy in alfalfa. Here, we provide detailed experimental methods and analysis pipeline in our study to identify miRNAs that were responsive to fall dormancy (Fan W et al., Genome-wide identification of different dormant Medicago sativa L. microRNAs in response to fall dormancy, submitted for publication) for reproducible research. The data generated in our work provide meaningful information for understanding the roles of miRNAs in response to seasonal change and growth regulation in alfalfa.