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Polychlorinated dibenzo- p -dioxins (PCDDs), as a class of persistent and highly toxic organic pollutants, have been posing a great threat to human health and the environment. The sensing of these compounds is important but challenging. Here, we report a highly stable zirconium-based metal-organic framework (MOF), Zr 6 O 4 (OH) 8 (HCOO) 2 (CPTTA) 2 (BUT-17) with one-dimensional hexagonal channels and phenyl-rich pore surfaces for the recognition and sensing of two representative PCDDs, 2,3-dichlorodibenzo- p -dioxin (BCDD) and 2,3,7,8-tetrachlorodibenzo- p -dioxin (TCDD), based on the fluorescence quenching. BUT-17 exhibits high sensing ability with the detection limits as low as 27 and 57 part per billion toward BCDD and TCDD, respectively, and is very selective as well without the interference of similar compounds. The recognition of BUT-17 toward BCDD is demonstrated by single-crystal structure of its guest-loaded phase, in which the fluorescence-quenched complexes form between the adsorbed BCDD molecules and the MOF host through π-π stacking and hydrogen bonding interactions. The sensing of polychlorinated dibenzo- p -dioxins (PCDDs) is important for the environment and public health but challenging to achieve. Here the authors report a stable zirconium-based metal-organic framework for the selective sensing of two representative PCCDs based on the fluorescence quenching method.

AbstractInflammatory bowel disease (IBD) in humans is closely related to bacterial infection and the disruption of the intestinal barrier. Paeoniflorin (PF), a bioactive compound from Paeonia lactiflora Pallas plants, exerts a potential effect of anti-inflammatory reported in various researches. However, the effect of PF on intestinal barrier function and its related mechanisms has not been identified. Here, we investigate the PF potential anti-inflammatory effect on lipopolysaccharide (LPS)-stimulated human Caco-2 cell monolayers and explore its underlying key molecular mechanism. In this context, PF significantly increased TEER value, decreased intestinal epithelium FITC-dextran flux permeability, and restored the expressions of occludin, ZO-1, and claudin5 in LPS-induced Caco-2 cell. In vitro, treatment of PF significantly inhibited LPS-induced expression of cyclooxygenase-2 (COX-2), inducible nitric oxide synthase (iNOS), tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6), and matrix metalloproteinase-9 (MMP-9). In addition, we found that PF suppressed nuclear factor kappa B (NF-κB) signaling via activating the Nrf2/HO-1 signaling pathways in ILPS-stimulated Caco-2 cells. Our findings indicate that PF has an inhibitory effect on endothelial injury. Our findings suggested that PF has an anti-inflammatory effect in ILPS-stimulated Caco-2 cells, which might be a potential therapeutic agent against IBD and intestinal inflammation.

Acute type A aortic dissection (AAAD) has a high probability of postoperative adverse outcomes (PAO) after emergency surgery, so exploring the risk factors for PAO during hospitalization is key to reducing postoperative mortality and improving prognosis. An artificial intelligence approach was used to build a predictive model of PAO by clinical data‐driven machine learning to predict the incidence of PAO after total arch repair for AAAD. This study included 380 patients with AAAD. The clinical features that are associated with PAO were selected using the LASSO regression analysis. Six different machine learning algorithms were tried for modeling, and the performance of each model was analyzed comprehensively using receiver operating characteristic curves, calibration curve, precision recall curve, and decision analysis curves. Explain the optimal model through Shapley Additive Explanation (SHAP) and perform an individualized risk assessment. After comprehensive analysis, the authors believe that the extreme gradient boosting (XGBoost) model is the optimal model, with better performance than other models. The authors successfully built a prediction model for PAO in AAAD patients based on the XGBoost algorithm and interpreted the model with the SHAP method, which helps to identify high‐risk AAAD patients at an early stage and to adjust individual patient‐related clinical treatment plans in a timely manner.

Tens of thousands of metal–organic frameworks (MOFs) have been developed in the past two decades, and only ≈100 of them have been demonstrated as porous and hydrophobic. These hydrophobic MOFs feature not only a rich structural variety, highly crystalline frameworks, and uniform micropores, but also a low affinity toward water and superior hydrolytic stability, which make them promising adsorbents for diverse applications, including humid CO2 capture, alcohol/water separation, pollutant removal from air or water, substrate‐selective catalysis, energy storage, anticorrosion, and self‐cleaning. Herein, the recent research advancements in hydrophobic MOFs are presented. The existing techniques for qualitatively or quantitatively assessing the hydrophobicity of MOFs are first introduced. The reported experimental methods for the preparation of hydrophobic MOFs are then categorized. The concept that hydrophobic MOFs normally synthesized from predesigned organic ligands can also be prepared by the postsynthetic modification of the internal pore surface and/or external crystal surface of hydrophilic or less hydrophobic MOFs is highlighted. Finally, an overview of the recent studies on hydrophobic MOFs for various applications is provided and suggests the high versatility of this unique class of materials for practical use as either adsorbents or nanomaterials. The structural design, preparation strategies, characterization methods, and potential applications of hydrophobic metal–organic frameworks (MOFs), a class of unique materials with both microporosity and hydrophobicity, are overviewed herein. It is highlighted that hydrophobic MOFs can be prepared by some facile procedures, and this type of materials can act as either advanced adsorbents or nanomaterials.

Atmospheric ozone has long been a threat to human health, however, rational design of high-performance O 3 -decomposition catalysts remains challenging. Herein, we demonstrate the great potential of a series of isomorphous bimetallic MOFs denoted as PCN-250(Fe 2 M) (M = Co 2+ , Ni 2+ , Mn 2+ ) in catalytic O 3 decomposition. Particularly, PCN-250(Fe 2 Co) showed 100% O 3 removal efficiency for a continuous air flow containing 1 ppm O 3 over a wide humidity range (0 ‒ 80% RH) at room temperature. Mechanism studies suggested that the high catalytic performance originated from the introduction of open Co(II) sites as well as its porous structure. Additionally, at low pressures around 10 Pa, PCN-250(Fe 2 Co) exhibited high adsorption capacities (89 ‒ 241 mg g −1 ) for most VOCs, which are not only a class of hazardous air pollutants but also the precursor of O 3 . This work opens up a new avenue to develop advanced air purification materials for O 3 and VOCs removal in one. Warm-season O 3 pollution has been increasingly frequent worldwide in the past few years, exposing a threat to human health as well as the natural environment. Here, the authors showcase a stable MOF which can not only effectively capture various airborne VOCs, but decompose trace O 3 in ambient air.

PurposeThis study aims to build a framework of the influencing factors of construction workers' career promotion and identifies the critical determinants so as to propose suggestions for the government and enterprises to offer construction workers a path for career promotion.Design/methodology/approachIn line with the theory of human resources, such as Herzberg's two-factor theory, this study constructs a theoretical framework that affects the career promotion of construction workers. Using evidence from Guangzhou city, valid data provided by 464 workers from 50 sites were collected by a questionnaire survey, and the significance test on the influencing factors of construction workers' career promotion was taken by binary logistic regression.FindingsThe overall career development of construction workers in Guangzhou is worrying. The binary logistic regression indicates that age, working years, type of work, career development awareness, legal awareness, professional mentality, vocational psychological training and career development path are critical factors that affect construction workers' career promotion.Originality/valueThis study for the first time explores the career promotion of frontline construction workers. Specifically, it identifies the critical factors that affect the career promotion of workers and thus lays a foundation for further research and the promotion and continuous and healthy development of the construction industry. Thus, this study is original and has theoretical and practical significance.

We demonstrate that the thermoelectric properties of p-type chalcogenides can be effectively improved by band convergence and hierarchical structure based on a high-entropy-stabilized matrix. The band convergence is due to the decreased light and heavy band energy offsets by alloying Cd for an enhanced Seebeck coefficient and electric transport property. Moreover, the hierarchical structure manipulated by entropy engineering introduces all-scale scattering sources for heat-carrying phonons resulting in a very low lattice thermal conductivity. Consequently, a peak zT of 2.0 at 900 K for p-type chalcogenides and a high experimental conversion efficiency of 12% at Δ T  = 506 K for the fabricated segmented modules are achieved. This work provides an entropy strategy to form all-scale hierarchical structures employing high-entropy-stabilized matrix. This work will promote real applications of low-cost thermoelectric materials. The synergism of entropy engineering and the typical optimization mechanisms in high-entropy-stabilized chalcogenide is unknown. Here, the authors find high-entropy-stabilized composition works as a promising matrix of applying synergistic effect to realize high thermoelectric performance.

The purposes of this study were to develop and validate a nomogram for predicting postoperative transient neurological dysfunctions (TND) in patients with acute type A aortic dissection (AAAD) who underwent modified triple‐branched stent graft implantation. This retrospective study developed a nomogram‐based model in a consecutive cohort of 146 patients. Patient characteristics, preoperative clinical indices, and operative data were analyzed. Univariate and multivariable analyses were applied to identify the most useful predictive variables for constructing the nomogram. Discrimination and the calibration of the model was evaluated through the receiver operating characteristic curve (ROC), the Hosmer–Lemeshow goodness‐of‐fit test and the decision curve analysis (DCA). At the same time, to identify and compare long‐term cumulative survival rate, Kaplan‐Meier survival curve was plotted. The incidence rate of postoperative TND observed in our cohort were 40.9%. Supra‐aortic dissection with or without thrombosis, creatinine >115 μmol and albumin <39.7 g/L, selective antegrade cerebral perfusion (SACP) time >7 min and total operation time >303 min, were confirmed as independent predictors that enhanced the likelihood of TND. Internal validation showed good discrimination of the model with under the ROC curve (AUC) of 0.818 and good calibration (Hosmer–Lemeshow test, p > .05). DCA revealed that the nomogram was clinically useful. In the long‐term survival there was no significant difference between patients with or without TND history. The results showed the predict model based on readily available predictors has sufficient validity to identify TND risk in this population, that maybe useful for clinical decision‐making.

To evaluate the midterm efficacy of the Castor stent (CS) versus in situ fenestration (ISF) for reconstructing the left subclavian artery (LSA) in patients with type B aortic dissection (TBAD). Between July 2017 and July 2022, a total of 247 patients with TBAD were enrolled. One hundred thirty‐seven patients were treated using CSs (group A), while the remaining 110 patients received ISFs (group B). Data of the two groups were retrospectively analyzed. The success rates of surgery were 99.3% and 95.5% in groups A and B (p = .053), There were no deaths during hospitalization. During surgery, group B showed a longer surgical duration [68.0 (66.0, 77.0) vs. 62.0 (59.0, 66.0) min, p < .001] and intraoperative fluoroscopy time [18.0 (16.0, 20.0) vs. 16.0 (14.0, 18.0) min, p < .001] than group A. The follow‐up duration was similar for both groups (44.0 vs. 43.0 months, p = .877), and no patient died. Stent‐related complications were significantly lower in group A than in group B (1.5% vs. 8.4%, p = .009). Group A had fewer instances entry flow (0.7% vs. 4.7%, p = .048) and stent stenosis (0.7% vs. 2.8%, p = .206) than group B. All reintervention cases (4.7%) were from group B (p = .011). The rate of false aortic lumen thrombosis was significantly higher in group A than in group B (84.6% vs. 72.9%, p = .024). Both CSs and ISFs are evidently safe, feasible, and effective in achieving positive early outcomes in patients undergoing treatment for TBAD. Notably, at midterm follow‐up, CSs appeared to be superior to ISF in terms of reducing stent‐related complications and minimizing the need for reintervention.

Introduction The weight-adjusted-waist Index (WWI), an innovative metric for assessing obesity, exhibits superior efficacy in appraising lean muscle and adipose tissue mass relative to both the Body Mass Index (BMI) and Waist Circumference (WC). The objective of this research paper is to investigate the correlation between WWI and the incidence of Rheumatoid Arthritis (RA) and Osteoarthritis (OA). Methods In this population-based study, we collected data from adult participants aged 20–80 years using the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2020 to analyze the association between WWI and the occurrence of RA and OA. NHANES, a nationally representative cross-sectional survey, is designed to evaluate the health and nutritional status of the U.S. population. The current research incorporates an extensive, nationally representative sample of U.S. adults, utilizing weighted multivariate linear regression and smoothed curve fitting techniques to examine linear and non-linear relationships. Threshold effects were determined through a two-part linear regression model. Additionally, subgroup analyses and interaction tests were conducted to explore the connection between WWI and the incidence of RA and OA. Results Our findings reveal a linear positive correlation between WWI and OA prevalence, indicating that an increase in WWI is linked to a heightened risk of OA. Conversely, a non-linear relationship was observed between WWI and RA prevalence, exhibiting a significant threshold effect with a saturation value of 11.21 cm/√kg. A positive association was detected to the left of the saturation point, while no significant association was present between the two variables to the right of the saturation point, suggesting a complex non-linear relationship between RA prevalence and WWI. Conclusions This investigation demonstrates a positive linear association between WWI and OA prevalence, as well as a complex non-linear relationship with RA prevalence in U.S. adults aged 20–80 years.