Nested Game for Coupled Power System with Energy Sharing and Transportation System

The wide deployment of distributed renewable energy sources and electric vehicles can help mitigate climate change. This necessitates new business models in the power sector to hedge against uncertainties while imposing a strong coupling between the connected power and transportation networks. To address these challenges, this paper first proposes an energy sharing mechanism considering AC power network constraints to encourage local energy exchange in the power system. Under the proposed mechanism, all prosumers play a generalized Nash game. We prove that the energy sharing equilibrium exists and is social optimal. Furthermore, a nested game is built to characterize the interactions both inside and between the power and transportation systems. Externally, the two systems are engaged in a Nash game because traffic flows serve as electric demands as a result of charging behaviors, and each driver pays the energy sharing price for charging. The nested game is then converted into a mixed-integer linear program (MILP) with the help of optimality conditions and linearization techniques. Numerical experiments validate the theoretical results and show the mutual impact between the two systems.Comment: 12 pages, 15 figure

Analysis of Nonlinear Dynamics for Abrupt Change of Interphase Structure in Liquid-Liquid Mass Transfer

As a liquid-liquid system is far from equilibrium state, the phase thickness is variable when mass transfer process with chemical reaction occurs in interphase zone, and a dispersible transitional layer called the interphase dispersed zone (IDZ) is formed. The IZD model composed of thermodynamically instable O/W or W/O microemulsion has reasonably explained enormous experimental phenomena in nonlinear mass transfer. To forecast the possible parameter ranges of IDZ process and abrupt change of liquid-liquid mass transfer rate, the dynamic characteristics of a molecular diffusion model are considered in this paper. We applied the bifurcation theory of planar dynamical system, Laplace transform, and maple software to investigate the model, and obtain different phase portraits of the system in different regions. The results obtained will play an important directive role in the study of IDZ model

Progress in Application of CNTs in Lithium-Ion Batteries

The lithium-ion battery is widely used in the fields of portable devices and electric cars with its superior performance and promising energy storage applications. The unique one-dimensional structure formed by the graphene layer makes carbon nanotubes possess excellent mechanical, electrical, and electrochemical properties and becomes a hot material in the research of lithium-ion battery. In this paper, the applicable research progress of carbon nanotubes in lithium-ion battery is described, and its future development is put forward from its two aspects of being not only the anodic conductive reinforcing material and the cathodic energy storage material but also the electrically conductive framework material

Utilization of clean energy and future trend of Antarctic research stations

The polar regions are rich in resources with high scientific value. Polar scientific research is of great significance to natural environment, climate, astronomy and geology. Polar scientific research is closely related to polar energy supply. Most research stations still use fossil fuels as the main source of power generation. This kind of power supply not only pollutes the environment, but also consumes a lot of manpower and material resources. As a kind of renewable energy such as solar energy and wind energy, renewable energy not only has the characteristics of sustainable development, but also has the characteristics of local power generation and transportation cost saving. At present, several countries have started the construction and application of polar renewable energy, and achieved good results in some Antarctic stations. Based on the investigation and summary of the application of renewable energy in various countries, this paper discusses the development trend of polar energy supply in the future, and provides a clear idea and direction for the development of polar renewable energy

Real-time targeted influence maximization for online advertisements

Advertising in social network has become a multi-billion-dollar industry. A main challenge is to identify key in-fluencers who can effectively contribute to the dissemina-tion of information. Although the influence maximization problem, which finds a seed set of k most influential users based on certain propagation models, has been well stud-ied, it is not target-aware and cannot be directly applied to online advertising. In this paper, we propose a new problem, named Keyword-Based Targeted Influence Max-imization (KB-TIM), to find a seed set that maximizes the expected influence over users who are relevant to a given advertisement. To solve the problem, we propose a sam-pling technique based on weighted reverse influence set and achieve an approximation ratio of (1−1/e−ε). To meet the instant-speed requirement, we propose two disk-based solu-tions that improve the query processing time by two orders of magnitude over the state-of-the-art solutions, while keep-ing the theoretical bound. Experiments conducted on two real social networks confirm our theoretical findings as well as the efficiency. Given an advertisement with 5 keywords, it takes only 2 seconds to find the most influential users in a social network with billions of edges. 1

STAT1 modification improves therapeutic effects of interferons on lung cancer cells

BACKGROUND: Interferons (IFNs) have potent anti-proliferative, pro-apoptotic, and immunomodulatory activities against cancer. However, the clinical utility of IFNs is limited by toxicity and pharmacokinetics making it difficult to achieve sustained therapeutic levels especially in solid tumors. METHODS: Signal Transducer and Activator of Transcription 1 (STAT1) or a modified STAT1 (designated STAT1-CC) that is hyper-responsive to IFN were overexpressed in lung cancer SPC-A-1 and H1299 cells using lentiviral vectors. Transduction efficiency was monitored using enhanced green fluorescent protein (EGFP) expression. After transduction, cells were treated with interferon-gamma (IFN-γ) or interferon-beta (IFN-β) and monitored for cell proliferation, migration, and invasiveness using Cell Counting Kit-8 and transwell chamber assays and for apoptosis using Annexin V detection by flow cytometry. In addition, levels of STAT1, STAT1 Tyr-701 phosphorylation (pSTAT1), fibronectin, and β-catenin were determined using western blotting. In the case of IFN-γ stimulation, levels of S100A4, proliferating cell nuclear antigen (PCNA), and c-fos expression were also determined. RESULTS: We found that expression of STAT1 or STAT1-CC enhanced the effect of IFN-γ and, IFN-β on inhibition of human lung cancer cell proliferation, migration and invasiveness. Moreover, STAT1 and STAT1-CC expression caused increases in pSTAT1 and decreases in fibronectin and β-catenin levels. STAT1-CC showed increased effects compared to STAT1 on IFN-γ induced pSTAT1 and down-regulation of S100A4, PCNA, and c-fos levels. CONCLUSION: The results show that STAT1-CC exhibited more strength in improving the antitumor response of IFNs in lung cancer cells. Results from this study suggest that combined treatment of IFNs and STAT1-CC might be a feasible approach for the clinical management of lung cancer in the future