Explore the vast range of titles available.

The green development behavior of construction enterprises is an environmental behavior that contributes evidence from construction enterprises to the field of resource recycling and environmental protection. Revealing the mechanism of green development behavior of construction enterprises has become the key to guide construction enterprises to adopt green development behavior and improve the level of green development. However, existing studies on the mechanistic discussion of green development behavior of construction enterprises do not reach a consensus. In order to reveal the mechanism of the green development behavior of construction enterprises, this study examines how the green development behavior of construction enterprises is influenced by factors based on the Theory of Planned Behavior. Using partial least squares structural equation modeling (PLS-SEM), this study analyzed 306 questionnaire data points from construction enterprises in 28 provinces (cities) across China. The main conclusions are as follows. (1) Attitudes, subjective norms and perceived behavioral control have significant positive effects on the green development behavioral intentions of construction enterprises, with attitudes being the strongest predictor. (2) Intention intermediates the relationships between attitude, subjective norms, perceived behavioral control, and the green development behavior of construction enterprises to varying degrees. (3) Regional green development level and enterprise size positively moderate the four groups of the relationship between attitude, subjective norms, perceived behavioral control, intention and green development behavior of construction enterprises. This study provides theoretical guidance for promoting green transformation and upgrading construction enterprises and helps the construction industry achieve a balanced mode of development that supports both economic growth and environmental protection.

Resource utilization of construction and demolition waste (CDW) is regarded to be an important means of achieving the sustainable development of the economy and the environment. However, previous research has not fully considered the green degree of products in the demand function of CDW remanufactured products. This study aimed to clarify how consumers’ green preferences and government subsidies affect decision making in the supply chain. First, a CDW resource utilization supply chain model composed of building materials manufacturers and retailers was constructed using consumer behavior theory. Second, the optimal decision making of members under conditions of decentralized and centralized decision making was analyzed using the Stackelberg game solution. Finally, the validity of the model and conclusions were verified by numerical simulation. The main conclusions are as follows. Government subsidies have a different impact on the pricing of new building materials products and CDW remanufactured products. Under decentralized decision making, the optimal profit of the CDW resource utilization supply chain with government subsidies is higher. However, under centralized decision making, the optimal profit is also related to consumers’ green preferences. According to consumers’ green preferences, choosing different decision-making models can not only improve the total profit of the CDW resource utilization supply chain, but also improve the reuse rate of CDW.

Background The mortality rate of secondary bloodstream infection (BSI) derived from the intestinal colonization of carbapenem-resistant Klebsiella pneumoniae (CRKP) is extremely high. This investigation aimed at clarifying the risk factors and prognosis of BSIs resulting from the initial colonisation of CRKP. Methods In this retrospective, cross-sectional study, we analyzed the clinical data of 167 patients with CRKP colonization who received active screening during hospitalization at Zhejiang Provincial People’s Hospital from January 2019 to December 2021. The cohort consisted of 34 patients with BSI (CRKP BSI group) and 133 patients without BSI (No-BSI CRKP group).Logistic regression was employed to identify risk factors for progression from CRKP intestinal colonization to secondary BSI.Cox proportional hazards regression models were used to analyze independent risk factors for 28-day crude mortality from CRKP BSI. Results Multivariable analysis revealed that previous use of carbapenems (odds ratio [OR]:4.14, 95% confidence interval [CI]: 1.07–16.0, P  = 0.040), corticosteroid use (OR: 3.18, 95% CI: 1.16–8.74, P  = 0.025), and agranulocytosis (OR: 7.54, 95% CI: 2.09–27.2; P  = 0.002) were independent risk factors for BSI in patients with CRKP rectal colonization. The overall mortality rate for CRKP infection was 20.4% (34/167), and the crude 28-day mortality rate for CRKP BSI was 44.1% (15/34), which was independently associated with hematologic neoplasms ( P <  0.001). Among the 11 genotypically evaluated CRKP strains, 10 harbored the bla KPC−2 gene. Conclusions Neutrophil deficiency, previous use of carbapenems, and corticosteroid use are risk factors for BSI following CRKP colonization. Patients with hematologic neoplasms associated with CRKP infection are at high risk of death. Patients with clinical risk factors should be identified early, and targeted intervention measures should be taken to optimize antibiotic use and reduce the risk of subsequent BSI.

Background Climate change significantly challenges public health, particularly through extreme weather events that disproportionately affect older adults. Those aged 60 and older are especially vulnerable to environmental heat and cold exposure (EHCE) due to physiological and healthcare access challenges. This study aims to analyze EHCE-related prevalence, incidence, mortality, and disability-adjusted life-years (DALYs) using the Global Burden of Disease (GBD) 2021 database. Methods We analyzed data from the GBD 2021 to estimate global, regional, and national EHCE-related metrics for adults aged 60 and older, including age-standardized prevalence (ASPR), incidence (ASIR), mortality (ASMR), and DALY rates (ASDR). Temporal trends from 1990 to 2021 were assessed using joinpoint regression and annual average percentage changes (AAPCs). Projections for 2022–2030 were developed using a Bayesian age-period-cohort (BAPC) model. Results In 2021, there were 4.4 million global EHCE cases (ASPR: 413.2 per 100,000; 95% UI: 362.4–475.6), with 301.2 thousand incident cases (ASIR: 28.2 per 100,000; 95% UI: 18.9–41), 19,078 deaths (ASMR: 1.8 per 100,000; 95% UI: 1.1–2.3), and 507.4 thousand DALYs (ASDR: 47.2 per 100,000; 95% UI: 34.4–57.5). High-SDI countries exhibited the highest prevalence (ASPR: 707.4), while low-SDI countries had the highest mortality (ASMR: 3.0). Regionally, Eastern Europe reported the highest burden, whereas Southeast Asia showed the lowest. Nationally, Greenland had the highest prevalence (ASPR: 2221.2), while Mauritius had the lowest (ASPR: 75.4). From 1990 to 2021, significant global declines were observed in ASPR (AAPC: -1.33), ASIR (AAPC: -1.47), and ASMR (AAPC: -0.83). However, reductions varied across SDI regions, with middle-SDI countries showing the largest decreases in ASPR (AAPC: -2.31) and ASIR (AAPC:-2.14). The largest regional reductions in ASPR occurred in East Asia (AAPC: -1.91) and Eastern Europe (AAPC: -1.65), while Western Europe experienced a slight increase (AAPC: 0.10). Nationally, Albania exhibited the steepest decline in ASPR (AAPC: -3.68), whereas France recorded the largest increase (AAPC: 2.55). Projections suggest continued global declines in all metrics through 2030. Conclusions The global burden of EHCE among the elderly remains substantial; however, it has exhibited a slight yet significant decline over the past three decades, with variations across different regions and sociodemographic profiles. These findings underscore the importance of targeted public health strategies to mitigate the impact of extreme temperatures on vulnerable older populations. By providing comprehensive data and trend analyses, this research informs climate resilience policies and adaptive interventions to address the growing challenges posed by climate change.

Land use change plays a crucial role in global environmental change. Understanding the mode and land use change procedure is conducive to improving the quality of the global eco-environment and promoting the harmonized development of human–land relationships. Large river basins play an important role in areal socioeconomic development. The Yellow River Basin (YRB) is an important ecological protective screen, economic zone, and major grain producing area in China, which faces challenges with respect to ecological degradation and water and sediment management. Simulating the alterations in ecosystem service value (ESV) owing to land use change in the YRB under multiple scenarios is of great importance to guaranteeing the ecological security of the basin and improve the regional ESV. According to the land use data of 1990, 2000, 2010, and 2018, the alterations in the land use and ESV in the YRB over the past 30 years were calculated and analyzed on the basis of six land use types: cultivated land, forestland, grassland, water area, built-up land, and unused land. The patch-generating land use simulation (PLUS) model was used to simulate the land use change in the study area under three scenarios (natural development, cultivated land protection, and ecological protection in 2026); estimate the ESV under each scenario; and conduct a comparative analysis. We found that the land use area in the YRB changed significantly during the study period. The ESV of the YRB has slowly increased by ~USD 15 billion over the past 30 years. The ESV obtained under the ecological protection scenario is the highest. The simulation of the YRB’s future land use change, and comparison and analysis of the ESV under different scenarios, provide guidance and a scientific basis for promoting ecological conservation and high-quality development of river basins worldwide.

This study aimed to identify and validate prognostic genes associated with polyamine metabolism-related genes (PMRGs) in hepatocellular carcinoma (HCC), offering potential novel therapeutic targets and strategies. The HCC-related datasets and 19 PMRGs were included in this study. Prognostic genes were screened out through differential expression analysis, univariate and multivariate Cox regression analysis. Subsequently, the construction of the risk model and nomogram, as well as functional enrichment and immune infiltration analysis were carried out. Ultimately, prognostic gene expression was further validated by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme linked immunosorbent assay (ELISA). SMOX, SRM, and SAT1 were identified as prognostic genes. risk score and stage were investigated as independent prognostic factors to construct nomogram. Moreover, the drug metabolism cytochrome p450 pathway was found had a significantly enriched in different risk groups. After that, 11 immune cells differed significantly across risk groups, with Eosinophi having the highest positive/negative correlation with SAT1/SRM, respectively. Finally, SMOX and SRM were highly expressed in the HCC group, while SAT1 showed the opposite pattern. The three genes linked to PMRGs, were identified as prognostic genes for constructing risk models, which may provide a basis for understanding HCC pathogenesis.

Background Centromere function is fundamental and conserved across eukaryotes, despite highly divergent DNA sequences, even among closely related species. These regions often contain rapidly evolving repeats and retrotransposons, yet play a crucial role in chromosome segregation. Soybean, which harbors two distinct types of centromeric satellite repeats, is an ideal model for studying centromeric repeat organization and function. Results Here we generate the complete map of centromeric satellite repeats revealing the organizational patterns of different types of centromeric satellite repeats within centromeres. These maps are constructed using three recently available telomere-to-telomere soybean genomes. We find that certain centromeric satellite repeats exhibit chromosome-specific evolutionary trajectories and may serve distinct functional roles in centromere activity. We further analyze the potential relationship between centromere-specific histones H3 (CENH3) and centromeric satellite repeats, identifying consensus motifs associated with CENH3-binding sites. We also analyze the higher-order tandem repeats of the centromere and propose a hypothetical model of centromeric DNA replication. Conclusions We conclude that CentGm -1 and CentGm -4 evolve independently. The observation that completely identical CentGm -4 sequences consistently appear on the same chromosome across different soybean varieties indicates a stronger chromosome-specific preference for CentGm -4. We propose a model in which replication templates within the centromere region originate from multiple CENH3-nucleosome complexes bound to CentGm sequences. Both CentGm -1 and CentGm -4 contain similar motifs with the potential to bind CENH3 protein. The findings provide a new insight into the mechanisms behind centromere diversity and dynamics.

Agricultural arsenic pollution poses increasing environmental and public health challenges. Making evidence-based conservation strategy is key for effective pollution control, but is challenged by data scarcity which is common in China. To address the scarcity of monitoring data, we developed an integrated methodology combining the Soil and Water Assessment Tool (SWAT) and the Load Estimator (LOADEST) to assess long-term variations in the arsenic load within the Zhangjiang River (ZR) watershed, China. Our findings suggest that approximately 1% of the urbanized area may contribute to up to 75% of the current stream arsenic load (a preliminary inference based on load differences between GTDK and upstream sites), though this conclusion is constrained by data limitations (e.g., stream flow parameters transferred from an adjacent watershed, limited arsenic monitoring scope, and low NSE at GTDK). This area could be a potential pollution hotspot, while diffuse arsenic pollution across the watershed is on the rise due to expanding agriculture, increased contaminated manure usage and the shifting hydroclimatic condition. Results showed that recycling arsenic-rich animal waste as manure could have the unintended consequence of building up an arsenic storage pool in farmland soils, turning croplands into pollution sources and increasing the risk of diffuse arsenic pollution, thus calling for adjustment in current agricultural management strategy. The proposed modeling method proves as a promising tool for investigating arsenic pollution in data-sparse region, supporting the assessment and optimization of agricultural management practices and policies for arsenic pollution control.

Objectives The aim of this study was to identify the synergistic effect and mechanisms of fosfomycin (FM) combined with colistin (COL) against KPC-producing Klebsiella pneumoniae (KPC-Kp). Methods The bactericidal effects, induced drug resistance and cytotoxicity of FM combined with COL were evaluated by time-kill assays and mutation rate test. Time-kill assays and transcriptomics analysis were used to further clarify the mechanism of FM combined with COL. The bacteria were taken from different points in time-kill assays, reactive oxygen species (ROS), nitric oxide and redox related enzymes were detected. The mechanism of synergistic bactericidal action was analyzed by transcriptome. Results The bactericidal effect of FM combined with COL was better than that of monotherapy. The mutation frequency of FM alone at low dose (8 mg/L) was higher than that at high dose (64 mg/L). COL induced resistant isolates resulted in FM and COL resistance, while FM alone or combined with COL only resulted in FM resistance. The survival rate of Thp-1 cells in FM combined with COL against K. pneumoniae was higher than that of monotherapy. The intracellular nitric oxide, activities of total superoxide dismutase and catalase were increased along with the increase of FM concentration against KPC-Kp. FM combined with COL induced ROS accumulation and antioxidant capacity increase. Transcriptome analysis showed FM combined with COL could regulate the levels of soxRS and oxidative phosphorylation, in order to clear ROS and repair damage. In addition, FM combined with COL could result in synergetic bactericidal efficacy by inhibiting ribosomal transcription. Conclusions FM combined with COL mediated synergistic bactericidal effect by regulating ROS accumulation and inhibiting ribosomal protein transcription, resulting in lower resistance and cytotoxicity.

Most of the current studies on carbon emission reduction have been focusing on the urban and industrial levels, overlooking policy assessment studies on the carbon emissions of construction enterprises in the Yangtze River Economic Belt (YREB). To explore the impact of smart city policy (SCP) on the carbon emissions of construction enterprises, this paper constructs a theoretical framework model for evaluating SCP based on the Political-Economic-Sociocultural-Technological-Environmental-Legal (PESTEL) model and the perspective of the pollution halo hypothesis. In addition, this paper adopts panel data of 110 cities covered by the YREB from 2004 to 2021 and verifies the SCP impact mechanism on the carbon emissions of construction enterprises in the YREB through the difference-in-differences (DID) method, the propensity score matching (PSM) method, and the analysis of mediating effects and moderating effects. The conclusions are as follows: (1) the SCP significantly curbs the carbon emissions of the construction enterprises in the YREB pilot cities; (2) the SCP has a regional qualitative effect on the carbon emissions of the construction enterprises in the YREB and it curbs the carbon emissions of the construction enterprises in the upstream and downstream regions; (3) R&D and FDI are important transmission mechanisms; and (4) new urbanization construction has a positive moderating effect on the carbon emission reduction effect of the SCP on construction enterprises. As a research precedence, this paper reveals for the first time the mechanism of the SCP on the carbon emissions of construction enterprises in the YREB through the lens of the PESTEL model and the pollution halo hypothesis; the paper not only enriches the research related to urban policies but also provides new evidence from Chinese construction enterprises for assessing the impacts of pilot cities.