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It is of much importance to clarify the impact of technological innovation on carbon emission intensity for the low-carbon transformation of China's economy. This study, based on the panel data of 30 Chinese provinces and municipalities from 2010 to 2020, measures and analyzes the carbon emission intensity and the level of technological innovation, establishing a spatial econometric model to study the spatial spillover effect and a panel threshold model to analyze the nonlinear influence of technological innovation level on carbon emission intensity. The findings are as follows: First, the overall carbon emission intensity in China shows a decreasing trend from 2010 to 2020, with the average dropping from 3.09 in 2010 to 1.98 in 2020; Second, the spatial autocorrelation results reveal that the level of technological innovation and carbon emission intensity in China are obviously aggregated in the global spatial distribution pattern. Third, the regression results of the spatial econometric model show that the direct effect of technological innovation on carbon emission intensity is significantly negative at the level of 1%, that is, the improvement of the technological innovation in a certain area has a significant inhibitory effect on carbon emission intensity. Fourth, based on the level of economic development, there is a significant three-threshold effect of the level of technological innovation on carbon emission intensity in China, and the influence of the level of technological innovation on carbon emission intensity varies in the direction of existence and coefficient values within different threshold intervals. As economic development reaches the third interval, the technological innovation level has the most significant inhibition on carbon emission intensity. These findings enriches the research of the nonlinear relationship between technological innovation and carbon emission intensity, clarifies the spatial spillover effect and threshold effect between among them, and provides inspiration for better promote the low-carbon transformation of economy.

The characteristics of common prosperity include harmonious relationships between humans and the environment, as well as sustainable economic and social growth. The process of achieving common prosperity will necessarily have an impact on carbon emissions. In this article, panel statistics collected from 30 Chinese provinces and cities between the years 2006 and 2020 are utilized to assess the level of common prosperity and the intensity of carbon emissions in China. Then the SDM model is applied to explore the effects of the common prosperity level on the intensity of carbon emissions. The findings reveal that: (i) The common prosperity level in China has shown an increasing tendency. Between 2006 and 2020, the mean level of common prosperity increased from 0.254 to 0.486. From the regional perspective, eastern China has seen greater levels of common prosperity than central China, while central China has experienced greater levels of common prosperity than western China; regional disparities in the degree of common prosperity are substantial among Chinese provinces from 2006 to 2020; the common prosperity level is relatively high in economically developed provinces and relatively low in economically backward provinces. (ii) China's carbon emission intensity shows a continuous downward tendency. The annual average intensity of China's carbon emissions decreased from 4.458 in 2006 to 2.234 in 2020. From the regional perspective, the three main regions' carbon emission intensity likewise exhibits a decline in tendency between 2006 and 2020; still, western China continues to have the greatest carbon emission intensity, following central China, while eastern China has the smallest; however, certain provinces, notably Inner Mongolia and Shanxi, continue to have high carbon emission intensity. (iii) China's common prosperity level and carbon emission intensity both exhibit positive spatial autocorrelation at a 1% significant level under the adjacency matrix. The spatial agglomeration effect is significant, and adjacent provinces can affect each other. (iv) The SDM (Spatial Durbin Model) model test with fixed effects finds that the increase in the level of common prosperity suppresses the intensity of carbon emissions in the local area and neighboring regions. (v) The mediating effects model indicates that the process of common prosperity suppresses carbon emission intensity through high-quality economic development, narrowing the income disparity, and the development of a sharing economy.

Analyzing the influence of tourism on carbon emission has significant implications for promoting the sustainable development of tourism. Based on the panel data of 31 tourist cities in China from 2005 to 2022, this study utilizes a structural equation model to explore the carbon reduction effect of tourism development and its influencing mechanism. The results show that: (1) The overall carbon emission efficiency of tourism cities first decreased and then increased, rised to a peak of 0.923 in 2022. (2) Tourism development has a significant positive impact on carbon emission efficiency, and there are three influence paths: tourism → environmental regulation → carbon emission efficiency, tourism → environmental regulation → industrial structure → carbon emission efficiency, and tourism → industrial structure → carbon emission efficiency. (3) The influence of tourism development on carbon emission efficiency mainly depends on the direct effect, and the development of tourism also indirectly affect the industrial structure. Environmental regulation also mainly depends on the direct effect on carbon emission efficiency. (4) Foreign direct investment lead to the reduction of carbon emission efficiency in both direct and indirect aspects.

Against the backdrop of the “dual carbon” strategy, building carbon emissions have been incorporated into the construction review process. Currently, the calculation and accounting of carbon emissions throughout the entire building lifecycle have become a hot and challenging issue in the field of building carbon emissions. Commercial office buildings, due to their large scale, high energy consumption, and significant carbon emission base, have become a key area for energy conservation and carbon reduction in public buildings. According to the building lifecycle carbon emission assessment system, the lifecycle of commercial office buildings can be divided into four stages: production of building materials, construction, operation and maintenance, and dismantling and recycling. This study takes an existing commercial office building in Beijing, China, as a case study, and based on data from energy audit reports, calculates the carbon emissions of each lifecycle stage using national standards and relevant software, and discusses the factors affecting building carbon emissions. At the same time, a comparative analysis of the differences between Chinese and Western national standards is conducted. Ultimately, strategies to reduce building carbon emissions are proposed. This study is of reference value for the precise calculation of carbon emissions throughout the lifecycle of commercial office buildings.

Cities are important consumers of resources, and their carbon emissions are key to realizing China’s dual-carbon goals. However, the trend of urban shrinkage has grown increasingly pronounced in recent years, and how this affects the carbon emissions of cities is a major issue that deserves to be studied. This study zeroes in on 278 Chinese cities that rank at or above the prefectural level between 2012 and 2021, employs a comprehensive analytical framework, incorporating multiple methodological approaches including entropy-based measurement, panel fixed-effects regression, mediating effect analysis, and spatial econometric modeling, to systematically investigate how urban shrinkage affects carbon emission intensity. The study’s findings indicate the following: (1) Urban contraction exacerbates the further increase in carbon emission intensity. (2) Mechanism tests show that human capital level and industrial structure advancement are the primary pathways through which urban shrinkage influences carbon intensity. (3) Urban contraction has a greater effect on increasing carbon emission intensity in central, western, and resource-dependent cities, according to the heterogeneity study. (4) Urban shrinkage lowers nearby cities’ carbon intensity through spatial spillovers.

In light of the current situation where excessive amounts of excavated earth from subway tunnel construction are being stacked with low utilization and value, this study used residue as a mineral admixture to investigate the effects of different proportions of residue content (0%, 2.5%, 5.0%, 7.5%, and 10.0%) on the workability and mechanical properties of C50 concrete. The results indicate that: (1) The initial slump and slump loss of C50 concrete decrease gradually as the residue content increases. (2) The compressive strength of C50 concrete with varying residue contents is lower than the control group at early stages (3d, 7d), while it is higher than the control group at 28d. There exists an optimal content of residue for improving C50 concrete compressive strength, and it is found that the highest compressive strength at 28d is achieved when the residue content is 7.5% of the cement content. (3) The microscopic structure of C50 concrete with different residue contents at 28d shows that as the residue content increases, the microscopic structure of C50 concrete gradually becomes more compact and the porosity decreases.

Background Citrus flavonoids are considered as the important secondary metabolites because of their biological and pharmacological activities. Chalcone synthase (CHS) is a key enzyme that catalyses the first committed step in the flavonoid biosynthetic pathway. CHS genes have been isolated and characterized in many plants. Previous studies indicated that CHS is a gene superfamily. In citrus, the number of CHS members and their contribution to the production of flavonoids remains a mystery. In our previous study, the copies of CitCHS 2 gene were found in different citrus species and the sequences are highly conserved, but the flavonoid content varied significantly among those species. Results From seventy-seven CHS and CHS -like gene sequences, ten CHS members were selected as candidates according to the features of their sequences. Among these candidates, expression was detected from only three genes. A predicted CHS sequence was identified as a novel CHS gene. The structure analysis showed that the gene structure of this novel CHS is very similar to other CHS genes. All three CHS genes were highly conserved and had a basic structure that included one intron and two exons, although they had different expression patterns in different tissues and developmental stages. These genes also presented different sensitivities to methyl jasmonate (MeJA) treatment. In transgenic plants, the expression of CHS genes was significantly correlated with the production of flavonoids. The three CHS genes contributed differently to the production of flavonoids. Conclusion Our study indicated that CitCHS is a gene superfamily including at least three functional members. The expression levels of the CHS genes are highly correlated to the biosynthesis of flavonoids. The CHS enzyme is dynamically produced from several CHS genes, and the production of total flavonoids is regulated by the overall expression of CHS family genes.

Background: During the perioperative period of pediatric surgery, it is extremely stressful for children and parents to enter the operating room and receive the anesthesia induction. This study was designed to evaluate the perioperative outcomes with parental presence at induction of anesthesia (PPIA), intranasal dexmedetomidine, and combined use of PPIA and intranasal dexmedetomidine. Methods: In this prospective study, 124 children were randomly divided into four groups: control (no parental presence or intranasal dexmedetomidine), PPIA (parental presence), DEX (intranasal dexmedetomidine (1.0 μg/kg)), and PPIA + DEX (parental presence and intranasal dexmedetomidine (1.0 μg/kg)). The a nxiety of children was mainly evaluated by the modified Yale Preoperative Anxiety Scale-Short Form (mYPAS-SF). Secondary evaluation methods were, for example, the Induction Compliance Checklist (ICC), the Pediatric Anesthesia Emergence Delirium Scale (PAED), the COMFORT Behavior Scale (COMFORT-B Scale), the State-Trait Anxiety Inventory (STAI), and the Visual Analog Scale (VAS). Results: Children in the PPIA + DEX group exhibited significantly lower mYPAS-SF and ICC scores compared with all three other groups ( p < 0.001), and children in that group exhibited significantly lower mYPAS-SF and ICC scores compared with the PPIA and DEX groups ( p < 0.05). The children’s PAED scores in the PPIA, DEX, and PPIA + DEX groups were significantly lower than the control group ( p < 0.001).The STAI-S scores of the PPIA, DEX, and PPIA + DEX groups were significantly lower than the score of the control group ( p < 0.001). The VAS scores of the PPIA, DEX, and PPIA + DEX groups were significantly higher than that of the control group ( p < 0.001), while the score of the PPIA + DEX group was significantly higher than those of the PPIA and DEX groups ( p < 0.05). Conclusion: The combined use of PPIA and intranasal dexmedetomidine is more effective than PPIA or intranasal dexmedetomidine for alleviating the preoperative anxiety of children, improving children’s induction compliance and parental satisfaction.

Digital technology is gradually emerging as a new driving force in the field of water resources management. In this paper, we conduct a thorough analysis of panel data from 30 provinces in China spanning from 2013 to 2022. Utilizing the fixed-effects model, the mediation effect model, a panel threshold model, and a coupling coordination degree model, this study empirically examines the impact of digital technology on water resources management. The findings are as follows: (1) The direct impact of digital technology on water resources management is significantly positive at the 1% level, with notable regional variations. (2) Digital technology improves water management through green innovation. (3) In the process of digital technology promoting water resources management, green innovation exhibits a threshold effect, with an estimated threshold value of 1.840. (4) During the sample period, the national coupling coordination degree of digital technology and water resources management was barely coordinated, showing the following characteristics: Eastern China > Western China > Central China. These research conclusions will offer valuable insights and directions for advancing sustainable water resources management strategies and fostering the deep integration of digital technology and water resources management.

Zinc fingers and homeoboxes 1 (ZHX1) is a transcription repressor that has been implicated in the tumorigenesis and progression of diverse tumors. The functional role and regulating mechanism of ZHX1 has not been elucidated in glioblastoma (GBM). Previous reports have suggested that a large number of non-coding RNAs play a vital role in glioma initiation and progression. This study aimed to investigate the functional role and co-regulatory mechanisms of the metastasis-associated lung adenocarcinoma transcript-1 (MALAT1)/ microRNA-199a (miR-199a)/ZHX1 axis in GBM. We analyzed the expression of the MALAT1/miR-199a/ZHX1 axis and its correlation with patients’ overall survival using two different glioma gene-expression datasets. A series of in vitro and in vivo studies including dual luciferase reporter assay, fluorescence in situ hybridization (FISH), RNA immunoprecipitation, and pull-down experiments were completed to elucidate the biological significance of the MALAT1/miR-199a/ZHX1 axis in promoting glioma proliferation and progression. Elevated ZHX1 expression correlated with poor prognosis in GBM patients, and in vitro studies demonstrated that ZHX1 attenuated GBM cell apoptosis by downregulation of pro-apoptotic protein (Bax) and upregulation of anti-apoptotic protein (Bcl-2). Furthermore, knockdown of MALAT1 inhibited GBM proliferation and progression in vitro and reduced tumor volume and prolonged survival in an orthotopic GBM murine model. Finally, we demonstrated that MALAT1 promoted ZHX1 expression via acting as a competing endogenous RNA by sponging miR-199a. The MALAT1/miR-199a/ZHX1 axis promotes GBM cell proliferation and progression in vitro and in vivo, and its expression negatively correlates with GBM patient survival. Blocking the MALAT1/miR-199a/ZHX1 axis can serve as a novel therapeutic strategy for treating GBM.