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Background: Doxorubicin (DOX), a broad-spectrum chemotherapy drug, is clinically employed to treat cancers especially for breast cancer and lung cancer. But its clinical applications are limited by the dose-dependent cardiac toxicity. Resveratrol (Res), a polyphenolic antitoxin, has been proved to be capable of improving the cardiomyocyte calcium cycling by up-regulating SIRT-1-mediated deacetylation to inhibit DOX-induced cardiotoxicity. Purpose: The objective of this study was to develop a solid lipid nanoparticle (SLN) loaded with Res to trigger inhibition of DOX-induced cardiotoxicity. Methods: Res-SLN was prepared by emulsification-diffusion method followed by sonication and optimized using central composite design/response surface method. The Res-SLN was further evaluated by dynamic light scattering, transmission electron microscopy for morphology and high performance liquid chromatography for drug loading and release profile. And the Res distribution in vivo was determined on rats while the effect of inhibit DOX-induced cardiotoxicity was investigated on mice. Results: Res-SLN with homogeneous particle size of 271.13 nm was successfully formulated and optimized. The prepared Res-SLN showed stable under storage and sustained release profile, improving the poor solubility of Res. Heart rate, ejection fractions and fractional shortening of Res-SLN treating mice were found higher than those on mice with cardiac toxicity induced by single high-dose intraperitoneal injection of DOX. And the degree of myocardial ultrastructural lesions on mice was also observed. Conclusion: Res-SLN has a certain therapeutic effect for protecting the myocardium and reducing DOX-induced cardiotoxicity in mice. Keywords: resveratrol, solid lipid nanoparticles, doxorubicin, heart failure

Diabetic kidney disease (DKD) is one of the major complications of diabetes, and its pathological progression is closely associated with lipid metabolic reprogramming. Under diabetic conditions, renal cells undergo significant lipid metabolic abnormalities, including increased lipid uptake, impaired fatty acid oxidation, disrupted cholesterol efflux, and enhanced lipid catabolism, as adaptive responses to metabolic stress. These changes result in the accumulation of lipids such as free fatty acids, diacylglycerol, and ceramides, leading to lipotoxicity that triggers inflammation and fibrosis. Hypoxia in the DKD microenvironment suppresses fatty acid oxidation and promotes lipid synthesis through the HIF-1α pathway, while chronic inflammation exacerbates lipid metabolic disturbances via inflammatory cytokines, inflammasomes, and macrophage polarization. Targeting lipid metabolism represents a promising therapeutic strategy for alleviating DKD; however, further clinical translational studies are warranted to validate the efficacy and safety of these approaches.

Dual-atom catalysts, particularly those with heteronuclear active sites, have the potential to outperform the well-established single-atom catalysts for oxygen evolution reaction, but the underlying mechanistic understanding is still lacking. Herein, a large-scale density functional theory is employed to explore the feasibility of *O-*O coupling mechanism, which can circumvent the scaling relationship with improving the catalytic performance of N-doped graphene supported Fe-, Co-, Ni-, and Cu-containing heteronuclear dual-atom catalysts, namely, M’M@NC. Based on the constructed activity maps, a rationally designed descriptor can be obtained to predict homonuclear catalysts. Seven heteronuclear and four homonuclear dual-atom catalysts possess high activities that outperform the minimum theoretical overpotential. The chemical and structural origin in favor of *O-*O coupling mechanism thus leading to enhanced reaction activity have been revealed. This work not only provides additional insights into the fundamental understanding of reaction mechanisms, but also offers a guideline for the accelerated discovery of efficient catalysts. The utilization of dual-atom catalysts holds the potential in surpassing single-atom catalysts for oxygen evolution reactions. Here, the authors examine the mechanism of dual-atom catalysts for oxygen evolution reaction and identify catalyst optimization recipes via large-scale computations.

Double-atom catalysts (DACs) have opened distinctive paradigms in the field of rapidly developing atomic catalysis owing to their great potential for promoting catalytic performance in various reaction systems. However, increasing the loading and extending the service life of metal active centres represents a considerable challenge for the efficient utilization of DACs. Here, we rationally design asymmetric nitrogen, sulfur-coordinated diatomic iron centres on highly defective nitrogen-doped carbon nanosheets (denoted A -Fe 2 S 1 N 5 /SNC, A : asymmetric), which possess the atomic configuration of the N 2 S 1 Fe-FeN 3 moiety. The abundant defects and low-electronegativity heteroatoms in the carbon-based framework endow A -Fe 2 S 1 N 5 /SNC with a high loading of 6.72 wt%. Furthermore, A -Fe 2 S 1 N 5 /SNC has a low overpotential of 193 mV for the oxygen evolution reaction (OER) at 10 mA cm −2 , outperforming commercial RuO 2 catalysts. In addition, A -Fe 2 S 1 N 5 /SNC exhibits extraordinary stability, maintaining > 97% activity for over 2000 hours during the OER process. This work provides a practical scheme for simultaneously balancing the activity and stability of DACs towards electrocatalysis applications. The dual-atom electrocatalyst shows great promise, but designing an active and stable catalytic center remains challenging. Here the authors design sulfur, nitrogen co-doped carbon nanosheets with asymmetrically coordinated double atomic iron centres for active and stable water oxidation in anion exchange membrane electrolyser.

The mechanism of how interfacial wettability impacts the CO 2 electroreduction pathways to ethylene and ethanol remains unclear. This paper describes the design and realization of controllable equilibrium of kinetic-controlled *CO and *H via modifying alkanethiols with different alkyl chain lengths to reveal its contribution to ethylene and ethanol pathways. Characterization and simulation reveal that the mass transport of CO 2 and H 2 O is related with interfacial wettability, which may result in the variation of kinetic-controlled *CO and *H ratio, which affects ethylene and ethanol pathways. Through modulating the hydrophilic interface to superhydrophobic interface, the reaction limitation shifts from insufficient supply of kinetic-controlled *CO to that of *H. The ethanol to ethylene ratio can be continuously tailored in a wide range from 0.9 to 1.92, with remarkable Faradaic efficiencies toward ethanol and multi-carbon (C 2+ ) products up to 53.7% and 86.1%, respectively. A C 2+ Faradaic efficiency of 80.3% can be achieved with a high C 2+ partial current density of 321 mA cm −2 , which is among the highest selectivity at such current densities. The mechanism of how interfacial wettability impacts the CO 2 electcgq Herein, the authors describe the design and realization of controllable equilibrium of kinetic controlled *CO and *H to reveal its contribution to ethylene and ethanol pathways.

Under the new development pattern, both \"digital\" and \"low-carbon\" development have entered the fast track, and digital transformation has become an important path to promote green development and enhance total factor productivity in agriculture. Based on the data of agricultural companies, this paper empirically verifies the impact of voluntary environmental regulations on total factor productivity. The empirical results show that voluntary environmental regulation has a significant positive impact on total factor productivity of agribusiness. In the mechanistic analysis, it is found that voluntary environmental regulations accelerate the digital transformation process of firms, which in turn increases their total factor productivity. In addition, the level of government environmental concern contributes to the increase of voluntary environmental regulations on firms’ total factor productivity. The findings have practical implications for the sustainable development of agribusiness, providing empirical evidence for policy formulation and adjustment, and helping the agricultural economy to achieve high-quality development.

Owing to their synergistic interactions, dual-atom catalysts (DACs) with well-defined active sites are attracting increasing attention. However, more experimental research and theoretical investigations are needed to further construct explicit dual-atom sites and understand the synergy that facilitates multistep catalytic reactions. Herein, we precisely design a series of asymmetric selenium-based dual-atom catalysts that comprise heteronuclear SeN 2 –MN 2 (M = Fe, Mn, Co, Ni, Cu, Mo, etc.) active sites for the efficient oxygen reduction reaction (ORR). Spectroscopic characterisation and theoretical calculations revealed that heteronuclear selenium atoms can efficiently polarise the charge distribution of other metal atoms through short-range regulation. In addition, compared with the Se or Fe single-atom sites, the SeFe dual-atom sites facilitate a reduction in the conversion energy barrier from *O to *OH via the coadsorption of *O intermediates. Among these designed selenium-based dual-atom catalysts, selenium-iron dual-atom catalysts achieves superior alkaline ORR performance, with a half-wave potential of 0.926 V vs. a reversible hydrogen electrode. In addition, the SeN 2 –FeN 2 -based Zn–air battery has a high specific capacity (764.8 mAh g −1 ) and a maximum power density (287.2 mW cm −2 ). This work may provide a good perspective for designing heteronuclear DACs to improve ORR efficiency. Dual-atom catalysts with precise active sites are gaining attention, but further studies are needed to optimise their construction and understand their catalytic synergy. Here the authors report a series of asymmetric selenium-based dual- atom catalysts that comprise heteronuclear SeN2–MN2 (M = Fe, Mn, Co, Ni, Cu, Mo, etc.) active sites for the efficient oxygen reduction reaction.

Three-dimensional reconstruction is a key technology employed to represent virtual reality in the real world, which is valuable in computer vision. Large-scale 3D models have broad application prospects in the fields of smart cities, navigation, virtual tourism, disaster warning, and search-and-rescue missions. Unfortunately, most image-based studies currently prioritize the speed and accuracy of 3D reconstruction in indoor scenes. While there are some studies that address large-scale scenes, there has been a lack of systematic comprehensive efforts to bring together the advancements made in the field of 3D reconstruction in large-scale scenes. Hence, this paper presents a comprehensive overview of a 3D reconstruction technique that utilizes multi-view imagery from large-scale scenes. In this article, a comprehensive summary and analysis of vision-based 3D reconstruction technology for large-scale scenes are presented. The 3D reconstruction algorithms are extensively categorized into traditional and learning-based methods. Furthermore, these methods can be categorized based on whether the sensor actively illuminates objects with light sources, resulting in two categories: active and passive methods. Two active methods, namely, structured light and laser scanning, are briefly introduced. The focus then shifts to structure from motion (SfM), stereo matching, and multi-view stereo (MVS), encompassing both traditional and learning-based approaches. Additionally, a novel approach of neural-radiance-field-based 3D reconstruction is introduced. The workflow and improvements in large-scale scenes are elaborated upon. Subsequently, some well-known datasets and evaluation metrics for various 3D reconstruction tasks are introduced. Lastly, a summary of the challenges encountered in the application of 3D reconstruction technology in large-scale outdoor scenes is provided, along with predictions for future trends in development.

PurposeThis study aims to explore the influence of green participative leadership on hotel employees’ pro-environmental behavior. Additionally, we seek to analyze the mediating role of green self-efficacy in this relationship while examining how environmental awareness moderates the connection between green participative leadership and green self-efficacy.Design/methodology/approachIn this study, we distributed questionnaires to 546 employees working in the Chinese hotel industry. We used partial least squares structural equation modeling (PLS-SEM) to analyze the data and test the hypothesized relationships in our model.FindingsThe present study shows that green participative leadership positively influences employees’ pro-environmental behavior, with this relationship being partially mediated by green self-efficacy. Furthermore, environmental awareness significantly moderates the connection between green participative leadership and green self-efficacy.Practical implicationsThe findings of this study offer valuable insights for hotel industry managers and policymakers in developing effective strategies for fostering a sustainable work environment. By embracing green participative leadership, hotels can inspire and engage employees to adopt environmentally friendly practices, ultimately contributing to the hotel’s overall sustainability.Originality/valueThis research expands the existing literature by proposing an integrative model that connects green participative leadership, green self-efficacy, environmental awareness and pro-environmental behavior. As a pioneering study within the Chinese hotel industry, it offers unique contextual insights that can help advance environmental sustainability in this sector.

Transition metal sulfides with homogeneous multi-metallic elements promise high catalytic performance for water electrolysis owing to the unique structure and highly tailorable electrochemical property. Most existing synthetic routes require high temperature to ensure the uniform mixing of various elements, making the synthesis highly challenging. Here, for the first-time novel carbon fiber supported high-entropy Co-Zn-Cd-Cu-Mn sulfide (CoZnCdCuMnS@CF) nanoarrays are fabricated by the mild cation exchange strategy. Benefiting from the synergistic effect among multiple metals and the strong interfacial bonding between high-entropy Co-Zn-Cd-Cu-Mn sulfide nanoarrays and the carbon fiber support, CoZnCdCuMnS@CF exhibits superior catalytic activity and stability toward overall water splitting in alkaline medium. Impressively, CoZnCdCuMnS@CF only needs low overpotentials of 173 and 220 mV to reach the current density of 10 mA·cm −2 , with excellent durability for over 70 and 113 h for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) respectively. More importantly, the bifunctional electrode (CoZnCdCuMnS@CF∥CoZnCdCuMnS@CF) for overall water splitting can deliver a small cell voltage of 1.63 V to afford 10 mA·cm −2 and exhibit outstanding stability of negligible decay after 73 h continuous operation. This work provides a viable synthesis route toward advanced high-entropy materials with great potential applications.