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Due to the rapid increase in immunotherapies there is an urgent need to develop new tools for robust in situ immune cell-typing and quantification to understand disease mechanisms and therapeutic responses. In this paper, we present a new machine-learning based method for classifying immune cell types in human tissue from highly multiplexed data. The proposed method is based on: i) identifying the...
As the increasing of installed capability of wind power in power system, the dynamic wind turbine models are required for wind turbine and wind farm stability assessment. For this reason, the wind turbine models have to be simulated accurately compare to the wind turbine operation behavior especially during grid fault. An accurate DFIG wind turbine dynamic model is presented. For low voltage ride...
In the paper, takes high college and university in Jiangxi province as an example, based on the survey in the targeted high college and university and systematic analysis on the high college and university actual situation, with the help of the literature review, research methodology and analytical framework of the competitiveness, the paper established the eight influencing factors that acted on...
The paper takes system dynamics method as study tool, based on the research in the specific hospital and system analysis about the hospital competitiveness, combined with the actual situation of Jiujiang Chinese hospital, built up seven system dynamics simulation models, and according to the hospital history data and future development plans, established each variable equation of seven models, simulated...
Service recommendation in a Web of services with uncertain QoS is a challenging problem. In this paper, we propose a reputation-based service recommendation framework. We formally define a service reputation model that analyzes the relations between uncertain QoS and reputation. We also devise a two-phase planning approach to constructing a composite service as the recommendation when none of existing...
Environment, customs and health status in northwest minority areas have been studied. We found the critical factors to prevent cerebral infraction. First rough sets theory had been used to reduce the attributes, secondly association rules had been used, finally logistic regression model had been used. The model solved the shortcomings of too many rules that caused by attribute redundancy and reliability...
This paper designs a enterprise informatization index system from the areas of finance, business process, customer service and strategy and development, based on Balanced Score Card (BSC) theory. A model based on back propagation neural network is established for evaluating the level of enterprise informatization performance. Eventually, we apply the new model to real cases to prove its good precision...
On the basis of comprehensive analysis of the lead-time (LT) of supply chain (SC) and the research of the interrelated cost, with setting related assumptions, the model of lead-time reduction and related costs that faces the two-echelon supply chain composed of manufacturers and suppliers is established. Finally, it is concluded that the total cost in the two-echelon supply chain is the convex function...
An interdisciplinary course "Quantitative Electrophysiology" at the graduate level has been developed and implemented for biomedical engineering students with electrophysiological training and medical students with mathematical and computer programming training. The contemporary electrophysiology curricula generally consist of a significant amount of facts and limited experiments. In this...
The hippocampus and associative structures are the highest integrative centers in the brain and are known to play a critical role in memory function. To understand how the memory is formed, retrieved and how to reach conscious awareness requires the development of detailed models of hippocampus function and is helpful to study pathogenesis of some brain diseases relating with memory such as Alzheimer...
The structure of market information transmission dynamics can affect homogeneity of the investors. It can influence market prices further as investor structure is one of the key factors for capital market which determines the volatility of market prices. In this paper, an cellular automata based Artificial Financial Market model, including information transmission network among investors, was built...
In an increasingly competitive real estate market, establishing a reasonable price has become an important guarantee for the survival of a real estate Developer in the fierce competition. In order to distinguish from the traditional method of formulating prices, this paper selects rough set (RS) and support vector machine (SVM) algorithms to establish a new mathematical model of pricing on the basis...
Autonomous agent often work and cooperate together to achieve their common and individual goals under competing and complex environment in multi-agent system. Auction bidding is an efficient method to allocate resource and time is frequently a key factor. A time-related auction bidding model was created in this paper. In a creative way, time parameter was introduced into the process of auction bidding...
Agents often need to work together and achieve their common and individual goals under the environment where there are limited or scarce resources. How to allocate these resources efficiently is critical in proceeding of cooperation and competition. Auction-based method is often adopted in the settings. This paper presents an improved mathematically computable model based auction theory by introducing...
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