Evaluation of the Anti-Inflammatory Effects of Glucocorticoids

The purpose of this article is to study the pros and cons of glucocorticoids in anti-inflammatory effects and to evaluate them. Because inflammation can play a positive role in removing pathogens and recovering the body on the one hand, it can also bring about adverse reactions such as redness, swelling, heat, and pain. Therefore, understanding the pros and cons of glucocorticoids in anti-inflammatory effects has the guiding significance in the clinical drug use.Based on the complexity of the clinical effects of glucocorticoids on the patient’s body, this article first analyzes the specific symptoms of inflammation, which are mainly manifested as redness, swelling, heat, pain, and dysfunction, and then analyzes the mechanism of inflammation, which is mainly due to body fluid leakage and the role of cytokines.Then, based on the symptoms and mechanism of inflammatory episodes, the inflammatory episodes are divided into fatal and non-fatal attacks, and three dosage regimens are designed. On this basis, the three dosage regimens were evaluated in the treatment of fatal and non-fatal seizures from four indicators of safety, effectiveness, stability, and uniformity, and the following evaluation results were obtained.In the treatment of fatal diseases, the evaluation weight of the A program is 0.587384, the evaluation weight of the B program is 0.202727, and the evaluation weight of the C program is 0.209809. In the treatment of non-fatal diseases, the evaluation weight of the A plan is 0.5462, the B plan is 0.261573, and the C plan is 0.192148.Analyze the three programs in the fatal disease situation and the non-fatal disease situation respectively, and draw the experimental conclusion that the comprehensive evaluation result of the A program is better than the B and C programs whether it is to treat fatal or non-fatal diseases. In the treatment of fatal diseases, the C program is slightly better than the B program, and in the treatment of non-fatal diseases, the B program is better than the C program

First-Principles Study of the Electron Transport Properties of Graphene-Like 2D Materials

First-principles density functional theory and non-equilibrium Green function calculations have been conducted to explore the electronic properties of the graphene-like 2D materials. It is found that zigzag boron phosphide nanoribbons (zBPNRs) exhibit non-magnetic direct bandgap semiconducting property and bandgap is about 1 eV. The heterostructure zSiC-BP-SiC nanoribbons are found to display an obvious negative differential resistance (NDR), which are tunable by changing the length of BPNRs. It is also found that for the armchair MoS2/WS2NRs heterostructures, with the number of WS2NR unit cell increasing, the NDR effect can be modulated. Especially for the case of M(edge) with W atoms doping on the edges, it not only exhibits a significant NDR effect but also owns a fast current transport. Therefore, these graphene-like 2D materials may possess potential for the application in logic transistor

MEV Makes Everyone Happy under Greedy Sequencing Rule

Trading through decentralized exchanges (DEXs) has become crucial in today's blockchain ecosystem, enabling users to swap tokens efficiently and automatically. However, the capacity of miners to strategically order transactions has led to exploitative practices (e.g., front-running attacks, sandwich attacks) and gain substantial Maximal Extractable Value (MEV) for their own advantage. To mitigate such manipulation, Ferreira and Parkes recently proposed a greedy sequencing rule such that the execution price of transactions in a block moves back and forth around the starting price. Utilizing this sequencing rule makes it impossible for miners to conduct sandwich attacks, consequently mitigating the MEV problem. However, no sequencing rule can prevent miners from obtaining risk-free profits. This paper systemically studies the computation of a miner's optimal strategy for maximizing MEV under the greedy sequencing rule, where the utility of miners is measured by the overall value of their token holdings. Our results unveil a dichotomy between the no trading fee scenario, which can be optimally strategized in polynomial time, and the scenario with a constant fraction of trading fee, where finding the optimal strategy is proven NP-hard. The latter represents a significant challenge for miners seeking optimal MEV. Following the computation results, we further show a remarkable phenomenon: Miner's optimal MEV also benefits users. Precisely, in the scenarios without trading fees, when miners adopt the optimal strategy given by our algorithm, all users' transactions will be executed, and each user will receive equivalent or surpass profits compared to their expectations. This outcome provides further support for the study and design of sequencing rules in decentralized exchanges.Comment: 14 Pages, ACM CCS Workshop on Decentralized Finance and Security (DeFi'23