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Under the background of carbon peak carbon neutrality, energy sharing among multiple entities in active distribution network (ADN) helps to absorb wind and light. However, the growing wind and photovoltaic capacity within microgrids has resulted in more pronounced daily fluctuations in net load. This has rendered traditional time-of-use electricity pricing less effective in mitigating peak demand and filling valleys in microgrids. To address this issue, a scheduling strategy considering the shared energy among multiple entities in the context of an active distribution network was proposed in this paper. The objective was to maximize the net income by deducting the electricity purchase cost from the electricity sales revenue generated within the ADN and distributed to sublevel microgrids. Furthermore, the strategy takes into consideration the scheduling autonomy of the sub-level microgrids, which aim to minimize their own operating costs under the pricing policies of the electricity grid. To achieve this optimization, the sub-levels' goal of minimizing operating costs was transformed into a constraint on the super-level objective function by employing Karush-KuhnTucker (KKT) multipliers, as done in the study. The KKT multipliers were employed along with the big M method to linearize the nonlinear constraints, thereby improving the computational efficiency of the model. Additionally, the continuous coupled variables between the upper and lower levels were discretized in the MATLAB Gurobi environment. The effectiveness of the proposed scheduling strategy was evaluated through a case study carried out on an active distribution network implemented in the IEEE 33-node system. This analysis demonstrates the practical feasibility and benefits of the model for optimizing energy distribution within the ADN framework. [ABSTRACT FROM AUTHOR]

Reasoning formula method and instantaneous unit hydrograph method are used to calculate rainstorm and runoff.Based on the water balance method, the variation of the flood level of tailings pond with time is analyzed according to the flood inflow process line, the discharge curve of flood discharge system under different flow patterns and the flood regulation capacity curve.The calculation results show that because the generalized multi peak triangular hydrograph is adopted in the inference formula method, the calculated peak discharge is large and the distribution is concentrated, the reservoir water level increases and decreases sharply, and the calculation results are more conservative. Due to the wide distribution of the main rain peak period of the instantaneous unit hydrograph method, the calculated flow peak is small, and the increase and growth rate of the reservoir water level are small, which is more practical.Through the comparative analysis of the two methods, it provides reference and guiding significance for the selection and practical application of flood calculation methods of tailings pond. [ABSTRACT FROM AUTHOR]

The simulation technology has played a significant role in the construction of personnel training mode in experimentation area and characteristic specialty carried out by many colleges and universities. It is more suitable for major courses if electrical engineering and automation. For the limitations of experimental equipment and the shortcomings of traditional classroom teaching model, the paper proposes that the teaching condition of classroom must be reformed, and the simulation technology can be used in each aspects for professional courses teaching. Also the quality and quantity of textbooks written about simulation experiments and teaching with practicing must be improved greatly. In the design of teaching content for two kind of courses, the paper explores the theoretical analysis and the validity of simulation analysis of Matlab/Simulink by the example of AC/DC speed control experiment and short circuit fault in power system. [ABSTRACT FROM AUTHOR]

Computer simulation is also used to make up for the shortcomings of the experimental equipments and to improve the experimental results. Taking the RLC series two order dynamic circuit experiment as an example, six kinds of modeling methods based on Matlab 2014 simulation platform are described in this paper. They are the basic programming method, the state space model, the transfer function modeling method, the S function modeling method, the Sim Power Systems modeling method, and the GUI Simulation design method. All simulation results are scientific and effective. Each simulation modeling method has its own characteristics. Different professional users can choose the methods according to the specific requirements and the characteristics of the system. The understanding of the theoretical knowledge and the analysis ability in the engineering application can be effectively improved by the computer simulation modeling. [ABSTRACT FROM AUTHOR]

Autophagy, or cellular self-digestion, is a cellular pathway involved in protein and organelle degradation. The eye lens consists of a layer of epithelial cells that overlay a series of differentiating fiber cells that upon maturation lose their mitochondria, nuclei and other organelles. In the lens, autophagy plays a critical role in lens fiber cell maturation and the formation of the organelle free zone.Numerous studies delineating the role of Atg5, Vsp34 as well as FYCO1 gene in maintenance of lens transparency are discussed,and the presence of autophagic vesicles in lens epithelial cells, immature lens fiber cells are demonstrated.This review provides an overview of autophagy in lens,and focuses on how autophagy contributes to lens development and cataract formation. [ABSTRACT FROM AUTHOR]

糖尿病是一种影响全身多系统的慢性疾病, 发病机制复杂, 病情进展及并发症的发生存 在异质性。目前的分型方法尚不能准确解释这种差异。聚类分析作为一种有效的多元统计分类技 术, 现已广泛应用于各个领域。2018年Ahlqvist团队首先将此方法应用于糖尿病的分型, 该分型的目 的是为糖尿病的个体化精准治疗及在糖尿病诊断时即能确定并发症风险提供更精细的分型方法, 以 期实现糖尿病的精准治疗及并发症的早期防治。随后, 多名学者纷纷对此研究进行了验证与补充。 该文将糖尿病聚类分型方法的研究进展进行综述. [ABSTRACT FROM AUTHOR]

With the development of mobile Internet, malicious code for Android platform has increased dramatically. And face up to the mount of Android malware, the current analyzing methods are focusing on the characteristic-based detecting, which is lack of a uniform systematic analyzing and classifying method. To resolve this status, this paper proposed the definition of Android malware gene to analyze malware via binary sequence including function and information. And based on the characteristics of Android applications, this paper extracted software gene from code fragment and resource fragment. Therein, the code fragment gene was a kind of formalization of use-def chains. Moreover, this paper proposed a detecting framework and a classifying framework based on malware gene. And it utilized support vector machine( SVM) to learn a machine learning method in the frameworks. In evaluation, the detecting rate and classification correct rate are both high in those frameworks, with a recall rate of 98. 37%. It proves the effect of malware gene in analyzing the homology of Android malicious code. [ABSTRACT FROM AUTHOR]