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Lovastatin is traditionally used to reduce the amount of cholesterol and lipid levels in many diseases, but its anti-cancer properties are now discovered. By regulating and modulating crucial signaling small G-proteins of cancer cell including Rho, Rac, and Ras, lovastatin can alter cancer cell division, migration, and induce cell death. Lovastatin has a similar structure to HMG-CoA and thus can competitively bind to HMG-CoA reductase (HMGR) and work as a hypolipidemic medicine. The anti-cancer effect of lovastatin had led to extensive research. It had been confirmed based on many in-vitro studies that lovastatin had obvious inhibitory effects on different kinds of cancer. In addition, lovastatin can increase therapeutic effect since it regulates the cell signaling pathway which induces cell cycle arrests. This article covers the application of lovastatin and cancer treatment. Lovastatin has shown promising anti-cancer properties in breast cancers, ovarian cancers and breast cancers, but more evidence is needed to determine its anti-cancer properties in-vivo and in humans.

There are problems of low intelligent management and automatic maintenance of traditional distributed PV power plants. This paper designs a distributed PV monitoring system based on ubiquitous power IoT architecture. LoRa edge computing terminal, Storm data stream processing strategy and Spark in-memory programming model are introduced to meet the needs of distributed PV power plants for fast access and storage, analysis and mining of big data. This system improves the real-time and security of power plant data cloud-edge collaboration, and can efficiently perform status monitoring, maintenance management and data analysis of distributed PV power plants. It is of practical significance to improve the whole life cycle management of distributed photovoltaic power generation equipment and promote the transformation of operation and maintenance mode to automation, intelligence and intensification.

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Rural energy is an important part of China’s energy system, and, as China’s agricultural modernization continues, integrated agricultural energy systems (AIES) will play an increasingly important role. However, most of China’s existing rural energy systems are inefficient, costly to run, and pollute the environment. Therefore, meeting various agricultural energy needs while balancing energy efficiency and costs is an important issue in the design and dispatch of integrated agricultural energy systems. In conjunction with hybrid energy storage (HES), which has been developed and matured in recent years, this paper proposes a new type of AIES structure and optimal dispatching strategy that incorporates HES, biogas generation (BG), P2G, and an electric boiler (EB) to provide new ideas for problem solving. Firstly, the structure of AIES is introduced and the mathematical model of the equipment of the system is described; then, an economic optimal dispatching model with the objective of minimizing the comprehensive operating costs of the system is established, and the output of each piece of energy conversion equipment is controlled to achieve the effect of improving the system’s operating performance and reducing the operating costs. The results show that the system with HES and multi-energy coupling equipment has a 20% lower overall cost, 23.2% lower environmental protection cost, and 51% higher energy efficiency than the original system; the stored power of energy storage equipment in the HES mode is primarily determined by the change in demand of the corresponding load, and the number of conversions between different energy sources is limited. The energy conversion loss is minimal.