49 research outputs found

    The impact of ESG ratings on the quality and quantity of green innovation of new energy enterprises

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    Amidst growing environmental challenges linked to coal dependence, fostering green innovation in new energy enterprises is vital for sustainable development in China. Although there have been studies on green innovation of new energy enterprises in recent years, few studies have been conducted from the perspective of ESG, whether informal environmental regulation represented by ESG can stimulate the green innovation of new energy enterprises is of great significance to China’s construction of a low-carbon and secure energy system. In this paper, from the perspective of informal environmental regulation, based on the ESG ratings of SynTao Green Finance’s first public new energy listed companies as an exogenous shock, and taking A-share new energy listed companies as a sample from 2010 to 2021, we empirically verified the effect and mechanism of ESG ratings on the green innovation of new energy companies in terms of the quantity and quality of green innovations by utilizing the Staggered Difference-in-difference (DID) model. The findings demonstrate that new energy enterprises’ green patent numbers and quality are greatly enhanced by ESG grading. However, there is clear heterogeneity in this green innovation effect, which is particularly visible in new energy firms with state-owned enterprise and greater enterprise scales and a higher level of digitization. The Mechanistic findings suggest that ESG ratings drive green innovation by alleviating financial constraints, reducing agency risk, and boosting R&D, thus providing empirical evidence for the development of a green innovation ecosystem in the new energy industry

    Thermooxidation effects on the structuring of molten polypropylene-clay nanocomposites

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    Abstract: The storage modulus G plateau at low frequency, the solid-like state in molten nanocomposites, has been verified by comparative studies in air or nitrogen for polypropylene (PP)-organoclay with compatibilizer (PPCH). It was found that the thermal oxidation does not only degrade the polymer chain but also enhances the structuring in PPCH. Well-designed rheology testing was able to distinguish the surface effect from the bulk responses. The inhomogeneity of clay distribution in samples was also studied using X-ray element analysis. We found that the apparent G plateau was mainly caused by diffusive oxidation starting from sample-free surface in oxidative environment and, finally, a charring layer at the free surface was gradually developed, which is responsible for the solid state or very high apparent G plateau. This structuring scheme agrees with the dehydrogenation mechanism of oxidation leading to crosslinking and volatilization of PP composites, while the participation of organoclay is essential. A silane coupling agent may retard this process by interacting with silicates

    Environmental regulations and industrial competitiveness: evidence from China

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    Economic activities are closely related to real-world environmental issues. Currently, more attention is paid to the association between environmental regulations and industrial competitiveness (IC) because of pressures on economic development and environmental protection. In this study, we identify and explain the association between environmental regulations and IC in China. As the largest developing country in the world, China has the unavoidable responsibility of protecting the environment and promoting global economic development. We analyse the mechanisms behind environmental regulations and industrial competiveness at the provincial level and conclude that the impact of environmental regulations upon IC is not a simple linear one, but a U-shaped relationship. It is argued that the crucial intervention to activate the U-shaped relationship, or Porter’s Hypothesis, is innovation, which can be triggered by stringent regulations and well-designed policies

    Design, synthesis and biological evaluation of biphenyl-benzamides as potent FtsZ inhibitors

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    The rapid emergence of antibiotic resistance has become a prevalent threat to public health, thereby development of new antibacterial agents having novel mechanisms of action is in an urgent need. Targeting at the cytoskeletal cell division protein filamenting temperature-sensitive mutant Z (FtsZ) has been validated as an effective and promising approach for antibacterial drug discovery. In this study, a series of novel biphenyl-benzamides as FtsZ inhibitors has been rationally designed, synthesized and evaluated for their antibacterial activities against various Gram-positive bacteria strains. In particular, the most promising compound 30 exhibited excellent antibacterial activities, especially against four different Bacillus subtilis strains, with an MIC range of 0.008 μg/mL to 0.063 μg/mL. Moreover, compound 30 also showed good pharmaceutical properties with low cytotoxicity (CC50 &gt; 20 μg/mL), excellent human metabolic stability (T1/2 = 111.98 min), moderate pharmacokinetics (T1/2 = 2.26 h, F = 61.2%) and in vivo efficacy, which can be identified as a promising FtsZ inhibitor worthy of further profiling.</p

    Rethinking visual prompting for multimodal large language models with external knowledge

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    In recent years, multimodal large language models (MLLMs) have made significant strides by training on vast high-quality image-text datasets, enabling them to generally understand images well. However, the inherent difficulty in explicitly conveying fine-grained or spatially dense information in text, such as masks, poses a challenge for MLLMs, limiting their ability to answer questions requiring an understanding of detailed or localized visual elements. Drawing inspiration from the Retrieval-Augmented Generation (RAG) concept, this paper proposes a new visual prompt approach to integrate fine-grained external knowledge, gleaned from specialized vision models (e.g., instance segmentation/OCR models), into MLLMs. This is a promising yet underexplored direction for enhancing MLLMs' performance. Our approach diverges from concurrent works, which transform external knowledge into additional text prompts, necessitating the model to indirectly learn the correspondence between visual content and text coordinates. Instead, we propose embedding fine-grained knowledge information directly into a spatial embedding map as a visual prompt. This design can be effortlessly incorporated into various MLLMs, such as LLaVA and Mipha, considerably improving their visual understanding performance. Through rigorous experiments, we demonstrate that our method can enhance MLLM performance across nine benchmarks, amplifying their fine-grained context-aware capabilities

    Mechanochromism and optical remodeling of multi-network elastomers containing anthracene dimers

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    International audienceMulti-network elastomers are both stiff and tough by virtue of containing a pre-stretched stiff network that can rupture and dissipate energy under load. However, the rupture of this sacrificial network in all described covalent multi-network elastomers is irreversible. Herein, we describe the first example of multi-network elastomers with a reformable sacrificial network containing mechanochemically sensitive anthracene-dimer cross-links. These cross-links also make our elastomers mechanochromic, with coloration that is both persistent and reversible, because the fluorogenic moiety (anthracene dimer) is regenerated upon irradiation of the material. In proof-of-concept experiments we demonstrate the utility of incorporating anthracene dimers in the backbone of the sacrificial network for monitoring mechanochemical remodeling of multi-network elastomers under cycling mechanical load. Stretching or compressing these elastomers makes them fluorescent and irradiating them eliminates the fluorescence by regenerating anthracene dimers. Reformable mechanochromic cross-links, exemplified by anthracene dimers, hold potential for enabling detailed studies of the molecular origin of the unique mechanical properties of multi-network elastomers

    Using metal-ligand interactions to access biomimetic supramolecular polymers with adaptive and superb mechanical properties

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    Natural Science Foundation of China [21074103]; Fundamental Research Funds for the Central Universities [2010121018]; Scientific Research Foundation for Returned ScholarsThe development of polymer materials that exhibit excellent mechanical properties and can respond to environmental stimuli is of great scientific and commercial interest. In this work, we report a series of biomimetic supramolecular polymers using a ligand macromolecule carrying multiple tridentate ligand 2,6-bis(1,2,3-triazol-4-yl)pyridine (BTP) units synthesized via CuAAC in the polymer backbone together with transition and/or lanthanide metal salts. The metal-ligand complexes phase separate from soft linker segments, acting as physical crosslinking points in the materials. The metallo-supramolecular films exhibit superb mechanical properties, i.e., high tensile strength (up to 18 MPa), large strain at break (>1000%) and exceptionally high toughness (up to 70 MPa), which are much higher than those of the ligand macromolecule and are tunable by adjusting the stoichiometric ratio of Zn2+ to Eu3+ and the stoichiometry of metal ion to ligand. The metal-ligand hard phase domains are demonstrated to be thermally stable but mechanically labile, similar to the behaviors of covalent mechanophores. The thermal stability and mechanical responsiveness are also dependent on the compositions of metal ions. The disruption of the hard phase domains and the dissociation of metal-ligand complexes under stretching are similar to the unfolding of modular domains in modular biomacromolecules and are responsible for the superb mechanical properties. In addition, the biomimetic metallo-supramolecular materials display promising responsive properties to UV irradiation and chemicals. These well designed, created and characterized robust structures will inspire further accurate tailoring of biomimetic responsive materials at the molecular level and/or nanoscale

    Self-healing metallo-supramolecular polymers from a ligand macromolecule synthesized via copper-catalyzed azide-alkyne cycloaddition and thiol-ene double "click" reactions

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    Natural Science Foundation of China [21074103]; Fundamental Research Funds for the Central Universities [2010121018]; Scientific Research Foundation for Returned Scholars; NFFTBS [J1210014]In this study, we develop a series of new materials that can simultaneously and reversibly self-heal without external stimuli based on metallo-supramolecular interactions. Multiple tridentate 2,6-bis(1,2,3-trizaol-4-yl)-pyridine (BTP) ligand units synthesized via a copper-catalyzed azide-alkyne cycloaddition (CuAAC) "click" reaction are incorporated into the polymer backbone of a ligand macromolecule through a thiol-ene "click" reaction. 3D transient supramolecular networks are formed from the ligand macromolecule upon coordination with transition and/or lanthanide metal ions. As compared to the ligand macromolecule, the resultant supramolecular films exhibit improved mechanical properties, such as Young's modulus, strength and toughness, which can be readily tuned by the stoichiometric ratio of Zn2+ to Eu3+ to Tb3+. The supramolecular films exhibit characteristics of weakly crosslinked networks where the storage modulus G' and loss modulus G '' scaled with normalized frequency omega a(T) by the same slope of 0.5. Both the supramolecular bulk films and gels are found to exhibit fast and effective self-healing properties by virtue of the kinetically labile nature of the metal-ligand interactions
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