A New Framework to Explore the International Vision of College Teacher

Aiming to address the methodology to explore and broaden college teachers’ international vision and horizon for engineering education of college students or engineers, this paper proposed an exploration framework based on Johari Window model. The framework of international vision exploration for teachers includes four zones: open/active vision, called Zone A; hidden/sleeping vision, called Zone B; blind/potential vision, called Zone C; and unknown/darkness vision, called Zone D. The four zones’ characteristics and formation mechanisms were generally analyzed, the corresponding driving forces were then identified in order to help transform teacher international vision within Zones B, C and D into Zone A. To provide the effective and feasible approach, several significant factors including culture tension, original vision conflict and pure curiosity for unknown were then determined in exploring and improving teacher’s international vision in terms of curiosity, inner creativity, potential vision, career development, and worldwide adaptability on engineering education evolution

Stability and bifurcation analysis of a discrete-time host-parasitoid model with Holling III functional response

We study the dynamical properties of a discrete-time host-parasitoid model with Holling type III functional response. It is shown that flip bifurcation and Neimark-Sacker bifurcation occur in certain parameter regimes. A sufficient condition based on the model parameters for which both populations can coexist is derived. The boundedness, existence and local stability of the unique equilibrium are proved. In addition, the numerical simulations have been done, in addition to supporting the analytical findings, more behaviors are extracted from the model in a two-dimensional parameter space. Finally, we emphasize the importance of clearly presenting biological assumptions that are inherent to the structure of a discrete model

Transcriptome analysis provides StMYBA1 gene that regulates potato anthocyanin biosynthesis by activating structural genes

Anthocyanin biosynthesis is affected by light, temperature, and other environmental factors. The regulation mode of light on anthocyanin synthesis in apple, pear, tomato and other species has been reported, while not clear in potato. In this study, potato RM-210 tubers whose peel will turn purple gradually after exposure to light were selected. Transcriptome analysis was performed on RM-210 tubers during anthocyanin accumulation. The expression of StMYBA1 gene continued to increase during the anthocyanin accumulation in RM-210 tubers. Moreover, co-expression cluster analysis of differentially expressed genes showed that the expression patterns of StMYBA1 gene were highly correlated with structural genes CHS and CHI. The promoter activity of StMYBA1 was significantly higher in light conditions, and StMYBA1 could activate the promoter activity of structural genes StCHS, StCHI, and StF3H. Further gene function analysis found that overexpression of StMYBA1 gene could promote anthocyanin accumulation and structural gene expression in potato leaves. These results demonstrated that StMYBA1 gene promoted potato anthocyanin biosynthesis by activating the expression of structural genes under light conditions. These findings provide a theoretical basis and genetic resources for the regulatory mechanism of potato anthocyanin synthesis

Identifying the implied volatility using the total variation regularization

Abstract This paper studies an inverse problem of determining the implied volatility in the financial products linked with gold price, which has important application in financial derivatives pricing. Based on the total variation regularization strategy, the existence and necessary condition of the minimum for the control function are addressed, and the local uniqueness of the solution is also given by a modified case. Furthermore, the stability and convergence for the regularized approach are discussed. The results obtained in this paper may be useful for those who engage in hedging or risk management

Bifurcation and chaos in a host-parasitoid model with a lower bound for the host

Abstract In this paper, a discrete-time biological model and its dynamical behaviors are studied in detail. The existence and stability of the equilibria of the model are qualitatively discussed. More precisely, the conditions for the existence of a flip bifurcation and a Neimark-Sacker bifurcation are derived by using the center manifold theorem and bifurcation theory. Numerical simulations are presented not only to validate our results with the theoretical analysis, but also to exhibit the complex dynamical behaviors. We also analyze the dynamic characteristics of the system in a two-dimensional parameter space. Numerical results indicate that we can more clearly and directly observe the chaotic phenomenon, period-doubling and period-adding, and the optimal parameters matching interval can also be found easily

Effects of postoperative rehabilitation nursing on recovery and quality of life in deep degree Ⅱ lower limb burns patients after dermatoplasty

Objective To determine the impact of postoperative rehabilitation nursing on the recovery and quality of life in deep degree Ⅱ lower limb burn patients. Methods A randomized controlled clinical trial was conducted on 68 patients with deep burn admitted to our center between January 2020 and January 2023. The patients were allocated into control group (n=34, conventional postoperative nursing) and intervention group (n=34, conventional postoperative nursing combined with postoperative rehabilitation nursing). In 4 weeks after intervention, wound healing (time of wound healing and wound blood flow recovery) and incidence of postoperative complications were observed. Visual analog scale (VAS) was used to score the pain, and Anxiety Self-assessment Scale (SAS) and Depression Self-assessment Scale (SDS) were employed to assess the patients' negative emotions. Simple Fugl-Meyer assessment (FMA) was adopted to evaluate the lower limb motor function, and Quality of Life scale (QOL) was conducted for their quality of life. Results After 4 weeks of training, the intervention group obtained a significantly shorter time of wound healing (28.67±4.32 d, thealing=11.555, P < 0.001) and lower incidence of postoperative complications (5.88%, Chi-square=4.221, P < 0.05) when compared with the control group. The interventions obviously reduced the SAS score and SDS score of negative emotions than the baseline scores before training (P < 0.05), with the decreases more statistically significant in the intervention group (P < 0.001). After 4 weeks of training, VAS score, FMA score, and QOL scores were all significantly improved compared with those before (Z value= -6.769, -7.099, -3.026 in the control group, Z value=-7.077, -7.111, -6.108 in the intervention group, P < 0.05). The improvement of pain, lower limb motor function and quality of life were greatly higher in the intervention group than the control group (Z value=-3.116, -5.958, -4.079 after training, P < 0.05). Conclusion Postoperative rehabilitation nursing can significantly promote the recovery of wound healing, reduce the postoperative complications, regulate patients' negative emotions, benefit lower limb motor function recovery earlier, and effectively improve the postoperative quality in the patients with deep Ⅱ lower limb burns

Socially-aware Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices

Fog computing is considered as a promising technology to meet the ever-increasing computation requests from a wide variety of mobile applications. By offloading the computation-intensive requests to the fog node or the central cloud, the performance of the applications, such as energy consumption and delay, are able to be significantly enhanced. Meanwhile, utilizing the recent advances of social network and energy harvesting (EH) techniques, the system performance could be further improved. In this paper, we take the social relationships of the EH mobile devices (MDs) into the design of computational offloading scheme in fog computing. With the objective to minimize the social group execution cost, we advocate game theoretic approach and propose a dynamic computation offloading scheme designing the offloading process in fog computing system with EH MDs. Different queue models are applied to model the energy cost and delay performance. It can be seen that the proposed problem can be formulated as a generalized Nash equilibrium problem (GNEP) and we can use exponential penalty function method to transform the original GNEP into a classical Nash equilibrium problem and address it with semi-smooth Newton method with Armijo line search. The simulation results demonstrate the effectiveness of the proposed scheme.peerReviewe