Burn infection delays wound healing and increases the burn patient mortality. Consequently, a new dressing with antibacterial and anti‐inflammatory dual properties is urgently required for wound healing. In this study, we propose a combination of methacrylate gelatin (GelMA) hydrogel system with silver nanoparticles embed in γ‐cyclodextrin metal–organic frameworks (Ag@MOF) and hyaluronic acid‐epigallocatechin gallate (HA‐E) for the burn wound infection treatment. Ag@MOF is used as an antibacterial agent and epigallocatechin gallate (EGCG) has exhibited biological properties of anti‐inflammation and antibacterial. The GelMA/HA‐E/Ag@MOF hydrogel enjoys suitable physical properties and sustained release of Ag + . Meanwhile, the hydrogel has excellent biocompatibility and could promote macrophage polarization from M1 to M2. In vivo wound healing evaluations further demonstrate that the GelMA/HA‐E/Ag@MOF hydrogel reduces the number of the bacterium efficiently, accelerates wound healing, promotes early angiogenesis, and regulates immune reaction. A further evaluation indicates that the noncanonical Wnt signal pathway is significantly activated in the GelMA/HA‐E/Ag@MOF hydrogel treated group. In conclusion, the GelMA/HA‐E/Ag@MOF hydrogel could serve as a promising multifunctional dressing for the burn wound healing.
Capturing determinants of bond default risks has aroused heated discussions ever since the "rigid payment" system collapsed in China. Within this context; this paper aims to clarify the relation between an issuer's environmental; social; and corporate (ESG) performance and its bond default rate. We developed an ESG factors-embedded Logistic Regression model to empirically examine Chinese default bonds and outstanding industrial bonds from 2014 to 2019. Results indicate that the bond default rate is positively correlated with the company's energy consumption and negatively correlated with its attention to social responsibilities; and corporate governance; in addition to its financial performances. In conclusion; to fully take ESG factors into consideration during the decision-making process and daily operations might improve stability and credibility of corporations in modern Chinese national context. Sustainability 2020, 12, 2954 2 of 12 them [6][7][8]. With the gradual pace of the global popularization of the ESG framework, scholars are now more aware of the impact of ESG performance on corporate financial behavior.Relevant research and empirical results have been mainly from American data. From the environmental perspective, studies noted that better environmental risk management correlates with lower capital cost, since it might result in a lower beta of the corporation, higher resource utilization, and favorable tax benefits [9,10]. Chava, on the other hand, conducted empirical research to provide concrete evidences that investors in the capital market do really value the borrower's environmental externalities from specific aspects, including environmental concerns and strengths, waste emission, and actions in pollution prevention [11]. To be more specific, debtholders are more cautious about the corporation's environmental performance if the corporation faces higher environmental risks, which might lead to bankruptcy risks [12].Social responsibility, which can be perceived as an investment in fostering trust between the company and stakeholders, is also crucial in guaranteeing stable or satisfying financial revenue and lower business risks. Lins et al. pointed out that firms that have a stronger sense of corporate social responsibility (CSR) have higher stock returns as well as better financial performance during economic crises [13]. In other words, investments in CSR might provide a buffer for the company during business downswings. From the perspective of capital cost, Ghoul et al. examined the effect of CSR on the cost of equity for US firms and found that firms with better CSR scores enjoy lower equity cost while firms which participate in tobacco and nuclear power production bear higher costs [14]. Researchers concluded that corporate bond yield spreads are in correlation with CSR performance as well, since high-CSR performance corporations are generally granted higher credit ratings during issuance [15][16][17]. For bank loans, similar conclusions have been drawn that corporations with worse CSR perfo...
Morbid dermal templates, microangiopathy, and abnormal inflammation are the three most critical reasons for the scarred healing and the high recurrence rate of diabetic wounds. In this present study, a combination of a methacrylated decellularized extracellular matrix (ECMMA, aka EM)-based hydrogel system loaded with copperepigallocatechin gallate (Cu-EGCG) capsules is proposed to fabricate bio-printed dermal scaffolds for diabetic wound treatment. Copper ions act as a bioactive element for promoting angiogenesis, and EGCG can inhibit inflammation on the wound site. In addition to the above activities, EM/Cu-EGCG (E/C) dermal scaffolds can also provide optimized templates and nutrient exchange space for guiding the orderly deposition and remodeling of ECM. In vitro experiments have shown that the E/C hydrogel can promote angiogenesis and inhibit the polarization of macrophages to the M1 proinflammatory phenotype. In the full-thickness skin defect model of diabetic rats, the E/C dermal scaffold combined with split-thickness skin graft transplantation can alleviate pathological scarring via promoting angiogenesis and driving macrophage polarization to the anti-inflammatory M2 phenotype. These may be attributed to the scaffold-actuated expression of angiogenesis-related genes in the HIF-1α/vascular endothelial growth factor pathway and decreased expression of inflammation-related genes in the TNF-α/NF-κB/MMP9 pathway. The results of this study show that the E/C dermal scaffold could serve as a promising artificial dermal analogue for solving the problems of delayed wound healing and reulceration of diabetic wounds.
This paper develops the interval maximum entropy model for the interval European option valuation by estimating an underlying asset distribution. The refined solution for the model is obtained by the Lagrange multiplier. The particle swarm optimization algorithm is applied to calculate the density function of the underlying asset, which can be utilized to price the Shanghai Stock Exchange (SSE) 50 Exchange Trades Funds (ETF) option of China and the Boeing stock option of the United States. Results show that maximum entropy distribution provides precise estimations for the underlying asset of interval number situations. In this way, we can get the distribution of the underlying assets and apply it to the interval European option pricing in the financial market.
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