Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration

Recently, the economy has grown rapidly in China’s Central Plains urban agglomeration, with high energy consumption and a huge pressure on reducing CO2 emissions. Thus, low-carbon development is an important measure to solve economic, energy and environmental problems. To analyse low-emission development, this paper clarifies the evolutionary characteristics of CO2 emissions and the decoupling relationship between GDP and CO2 emissions based on the latest available data from 2000 to 2015. The results indicate that CO2 emissions of Pingdingshan and Changzhi are higher in the same year. The ratios from coal consumption accounting for the total CO2 emissions are clearly bigger than from other energy types and industrial processes. Changzhi, Luoyang and Pingdingshan have reached their peaks. Five cities have experienced strong decoupling after 2010, 13 cities present weak decoupling, 4 cities present growth connection, and 7 cities show growth negative decoupling. It can be concluded that a relatively smaller proportion of industry and strict policy implementations of coal reduction are the main factors in inhibiting the decoupling. So the proportion of coal purification should be increased firstly. Then, the energy consumption structure should be changed from the traditional coal consumption structure to coal, oil and gas. Lastly, economic means can be used to control CO2 emissions

Identification and validation of hub genes expressed in ulcerative colitis with metabolic dysfunction-associated steatotic liver disease

ObjectiveUlcerative colitis (UC) and metabolic dysfunction-associated steatotic liver disease (MASLD) are closely intertwined; however, the precise molecular mechanisms governing their coexistence remain unclear.MethodsWe obtained UC (GSE75214) and MASLD (GSE151158) datasets from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were acquired by the ‘edgeR’ and ‘limma’ packages of R. We then performed functional enrichment analysis of common DEGs. Hub genes were selected using the cytoHubba plugin and validated using GSE87466 for UC and GSE33814 for MASLD. Immunohistochemistry was employed to validate the hub genes’ expression in clinical samples. Immune infiltration and gene set enrichment analyses of the hub genes were performed. Finally, we estimated the Spearman’s correlation coefficients for the clinical correlation of the core genes.ResultsWithin a cohort of 26 differentially regulated genes in both UC and MASLD, pathways involving cytokine-mediated signaling, cell chemotaxis, and leukocyte migration were enriched. After further validation, CXCR4, THY1, CCL20, and CD2 were identified as the hub genes. Analysis of immune infiltration patterns highlighted an association between elevated pivotal gene expression and M1 macrophage activation. Immunohistochemical staining revealed widespread expression of pivotal genes in UC- and MASLD-affected tissues. Furthermore, significant correlations were observed between the increased expression of hub genes and biochemical markers, such as albumin and prothrombin time.ConclusionThis bioinformatics analysis highlights CXCR4, THY1, CCL20, and CD2 as crucial genes involved in the co-occurrence of UC and MASLD, providing insights into the underlying mechanisms of these two conditions

Global burden and risk factors of gastritis and duodenitis: an observational trend study from 1990 to 2019

Abstract In recent years, there has been a global trend of aging, which has resulted in significant changes to the burden of gastritis and duodenitis (GD). Using the global burden of disease (GBD) database spanning 1990 to 2019, we evaluated the temporal trends of age-standardized incidence rates (ASIR), age-standardized death rates (ASDR), and age-standardized disability-adjusted life years (AS-DALYs) for GD using estimated annual percentage changes (EAPC). Additionally, we examined the burden of GD across various strata, including social demographic index (SDI), age, and sex. Finally, the risk factors linked to the incidence and mortality of GD, utilizing Pearson correlation analysis. In 2019, there were 31 million GD patients globally, a notable increase of 12 million from 1990, while the ASIR, ASDR, and AS-DALYs for GD all showed a decrease. Correlation analysis showed a significant negative relationship between ASIR and SDI. Factors like hand hygiene and vitamin A deficiency had significant positive correlations with ASIR and ASDR in 2019. Over the past thirty years, the burden of GD has increased alongside global population aging. Future efforts should focus on exploring prevention for GD, with special attention to the elderly population in low SDI regions

Observation of D0(+)→KS0π0(+)ωD^{0(+)}\to K^0_S\pi^{0(+)}\omega and improved measurement of D0→K−π+ωD^0\to K^-\pi^+\omega

By analyzing an $e^+e^-$ annihilation data sample with an integrated luminosity of $2.93\ \rm fb^{-1}$ taken at the center-of-mass energy of 3.773 GeV with the BESIII detector, we determine the absolute branching fractions of the hadronic decays $D^0\to K^-\pi^+\omega$, $D^0\to K^0_S\pi^0\omega$, and $D^+\to K^0_S\pi^+\omega$ to be $(3.392 \pm 0.044_{\rm stat} \pm 0.085_{\rm syst})\%$, $(0.848 \pm 0.046_{\rm stat} \pm 0.031_{\rm syst})\%$, and $(0.707 \pm 0.041_{\rm stat} \pm 0.029_{\rm syst})\%$, respectively. The accuracy of the branching fraction measurement of the decay $D^0\to K^-\pi^+\omega$ is improved by a factor of seven compared to the world average value. The $D^{0}\to K^0_S\pi^{0}\omega$ and $D^{+}\to K^0_S\pi^{+}\omega$ decays are observed for the first time