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A case study published in Clinical Toxicology describes the successful delivery of a healthy infant following acute maternal diquat poisoning. The pregnant woman ingested diquat and was admitted to the hospital, where her vital signs were stable and ultrasound examinations indicated normal fetal development. To minimize fetal exposure, an emergency cesarean section was performed, and the infant was delivered without complications. Both the mother and neonate underwent further tests and imaging, which did not reveal any abnormalities. The study suggests that diquat exposure at this dosage may not affect childbirth outcomes, but further monitoring is needed to assess long-term growth and development. [Extracted from the article]

This study tests and verifies the main factors influencing consumers' intention to purchase and the marketing strategy of remanufactured new-energy automobile parts in China. The revised model of Theory of Reasoned Action is used to study the factors influencing consumers' intention to purchase. The main factors influencing consumer purchase intention of remanufactured new-energy automobile parts in China are identified through correlation analysis of factors including subjective norms, attitudes, face consciousness, brand extension, and perceived risk. Through market segmentation, consumers in China are divided into three types: passive-accepted, brand-driven, and green-consuming; the marketing strategy is developed accordingly. This study provides theory and decision-making basis for remanufactured new-energy automobile parts markets. [ABSTRACT FROM AUTHOR]

In this paper, a specified-time neural-adaptive control algorithm is developed to solve the consensus tracking control problem of high-order nonlinear multi-agent systems with full-state constraints, unknown control directions, and actuator faults, which is intrinsically challenging due to the existence of high-order (positive odd integers greater than one) terms. More precisely, a novel specified-time performance function (STPF) is skillfully incorporated into the time-varying high-order log-type barrier Lyapunov function (BLF) to guarantee that the tracking errors remain under time-varying constraints within specified time. To handle the mixed unknown control directions, the hybrid Nussbaum function is innovatively employed in the distributed high-order nonlinear multi-agent scenario. By combining radial basis function neural networks (RBFNNs) with the adding-one-power-integrator technique, an adaptive approximation policy is introduced to derive the neural adaptive controllers. Moreover, actuator faults are also considered in this work. The variable-separable lemma is exploited to extract the fault signals in a "linear-like" manner. Comparative simulations are provided to demonstrate the effectiveness of the designed control framework. [ABSTRACT FROM AUTHOR]

In this paper, we theoretically studied the tunable dynamic microwave properties of a magnetic skyrmion manipulated by strains through micromagnetic simulations. The strains are induced by voltage due to the converse piezoelectric effect and then applied to modulate the dynamic characteristics through the magneto-elastic coupling effect. The tunable dynamic microwave characteristics of a breathing mode and gyration modes are investigated. The resonant frequency of the breathing mode increases abruptly and then decreases slowly with the strain changing from compressive to tensile. A clockwise gyrotropic mode has been obtained, and the resonant frequency keeps increasing with the strain changing from compressive to tensile. In particular, strains can induce different gyrotropic trajectories of the skyrmion driven by an in-plane microwave field. Our results may contribute to the understanding of dynamic properties of skyrmions manipulated by voltage-induced strains and provide a method to realize tunable spintronic microwave devices based on skyrmion. [ABSTRACT FROM AUTHOR]

In this paper, a novel UAV path planning algorithm based on improved cellular ant colony algorithm and dynamic window algorithm (ICACO-IDWA) is proposed to solve the problem of dynamically changing threat during actual flight. The main innovations of this paper are as follows. (a) The hexagon grid method is proposed to model the UAV flight space, which solves the problem of inconsistent simulation time step. (b) A novel ICACO-IDWA algorithm is proposed. In the first stage, the optimal path is obtained by the improved cellular ant colony algorithm (ICACO). In the second stage, the improved dynamic window algorithm (IDWA) is used to optimize the optimal path considering dynamic threat. Through the algorithm, the UAV path planning with dynamic threat change is realized. Finally, simulation results verify the effectiveness of the proposed model and algorithm. [ABSTRACT FROM AUTHOR]

Long project cycle and uncertainties are important characteristics of public-private partnership (PPP) projects. Since the introduction of PPP projects in China, the timing of capital withdrawal has become important. With the emergence of risk factors during the course of the project, it will face the problem of investment withdrawal by social capital financial investors. Escalation of commitment (EOC) refers to the erroneous behaviour of project decision makers who do not promptly withdraw from a project when they receive negative feedback and continue to invest resources in the project. EOC not only causes more unnecessary losses but also adversely affects decision makers. Therefore, it is crucial to clarify the impact of EOC on the choice of the exit timing of social capital. This article adopts literature survey method and quantitative analysis method: introducing the theory of maximization of income into the real option model, combining the net present value method with the binary tree option pricing model, constructing the decision-making model to analyze the exit timing of PPP social capital in the context of EOC. Then combined numerical simulation and empirical analysis to verify the effectiveness of the decision-making model, discussed the reasons why the social capital party chooses EOC, and proposes measures for controlling EOC. The higher the degree of completion of the project, the easier it is for the person in charge of the project to make inaccurate judgements about the project due to personal psychological factors, and the easier it is for EOC to occur. Therefore, after setting the minimum goal of the project, the decision maker needs to accurately evaluate the existing value of the project to avoid falling into decision-making errors. [ABSTRACT FROM AUTHOR]