The electric power system in North America is linked between the United States and Canada. Canada has historically been a net exporter of electricity to the United States. The extent to which this remains true will depend on the future evolution of power markets, technology deployment, and policies. To evaluate these and related questions, we modify the Regional Energy Deployment System (ReEDS) model to include an explicit representation of the grid-connected power system in Canada to the continental United States. ReEDS is unique among long-term capacity expansion models for its high spatial resolution and statistical treatment of the impact of variable renewable generation on capacity planning and dispatch. These unique traits are extended to new Canadian regions.

关键词：电力系统；电力；评价；可再生能源；空间分辨率

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The human constitution can be classified into four possible constitutions according to an individual's temperament and nature: Tae-Yang (太陽), So-Yang (少陽), Tae-Eum (太陰), and So-Eum (少陰). This classification is known as the Sasang constitution. In this study, we classified the four types of Sasang constitutions by measuring twelve sets of meridian energy signals with a Ryodoraku device (良導絡). We then developed a Sasang constitution classification method based on a fuzzy neural network (FNN) and a two-dimensional (2-D) visual model. We obtained meridian energy signals from 35 subjects for the So-Yang, Tae-Eum, and So-Eum constitutions. A FNN was used to obtain defuzzification values for the 2-D visual model, which was then applied to the classification of these three Sasang constitutions. Finally, we achieved a Sasang constitution recognition rate of 89.4.

关键词：EUM；电气工程；模糊神经网络

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The k-Nearest Neighbor (KNN) algorithm is widely used as a simple and effective classification algorithm. While its main advantage is its simplicity, its main shortcoming is its computational complexity for large training sets. A Prototype Selection (PS) method is used to optimize the efficiency of the algorithm so that the disadvantages can be overcome. This paper presents a new PS algorithm, namely Fuzzy k-Important Nearest Neighbor (FKINN) algorithm. In this algorithm, an important nearest neighbor selection rule is introduced. When classifying a data set with the FKINN algorithm, the most repeated selection sample is defined as an important nearest neighbor. To verify the performance of the algorithm, five UCI benchmarking databases are considered. Experiments show that the algorithm effectively deletes redundant or irrelevant prototypes while maintaining the same level of classification accuracy as that of the KNN algorithm.

关键词：K近邻（KNN）;原型选择（PS）;模糊K-重要近邻（FKINN）

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3D bioprinting is a process used to produce tissue in a variety of formats from micro-scale tissue to standard multi-well tissue, where cell functions and viabilities are preserved within the printed construct. A 3D bioprinter is a medical device used to regenerate human organs and tissue. The 3D micro-engineered environments open new channels for drug screening and fundamental studies of wound healing,angiogenesis, and stem-cell niches. Many industries have already benefitted from multiple advancements in this field, resulting in improved and more efficient processes worldwide.

关键词：3D生物打印；激光烧结；立体光刻

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This chapter introduces a novel framework for modeling interacting humans in a multi-stage game. This "iterated semi network-form game" framework has the following desirable characteristics: (1) Bounded rational players, (2) strategic players (i.e., players account for one another's reward functions when predicting one another's behavior), and (3) computational tractability even on real-world systems. We achieve these benefits by combining concepts from game theory and reinforcement learning. To be precise, we extend the bounded rational "level-K reasoning" model to apply to games over multiple stages. Our extension allows the decomposition of the overall modeling problem into a series of smaller ones, each of which can be solved by standard reinforcement learning algorithms. We call this hybrid approach "level-K reinforcement learning". We investigate these ideas in a cyber battle scenario over a smart power grid and discuss the relationship between the behavior predicted by our model and what one might expect of real human defenders and attackers.

关键词：计算；电网；网络战；K推理

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关键词：加拿大；激光烧结；3D打印；抗生素

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Staff line removal is a key step before segmentation and recognition of music image and plays an important role in OMR (Optical Music Recognition) research,the result of staff line removal directly influences the performance and function of the whole OMR system.However,over-removal and under-removal often occurs in the processing and leads to the low efficiency of music recognition rate.So,in order to solve the arduous problem,an approach based on run-length graph slice and topological structure of music is put forward by careful analysis of staff line and music notation structure.Experience results show the validity and practicality of the presented algorithm fast and effectively.

关键词：OMR;游程图片；工作人员线移除；拓扑结构

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Visual content is primarily characterized by images and videos. The market deals with the supply and licensing of pre-produced images and videos that are used for specific purposes. Marketers and consumers are embracing visual content to communicate messages and themes. With the short attention span of today's consumers, visual content allows organizations to enhance engagement, increase brand awareness, and generate important leads.

关键词：可视化内容；图像；视频

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GIS is a system or a set of tools used to interpret business and geospatial data. It integrates hardware, software, and data for processing businesses and delivers geographically referenced data. This system digitizes the received geospatial data and process them to provide the desired output.

关键词：EMEA；GIS；中小企业；美国地质调查研究所

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The Agency for Healthcare Research and Quality (AHRQ) has identified the need for clinical, administrative, and other kinds of health care information from very large populations to address topics central to its mission, and to the missions of other Federal agencies. A distributed health data network advances AHRQs Effective Health Care and Health Information Technology research goals by focusing on standardized and reusable information technology approaches for speeding the initiation and conduct of large-scale comparative effectiveness studies, including studies of treatments covered by Medicaid, Medicare, CHIP, and other Federal payers. The current team developed design specifications for a scalable, distributed, health data network, created a prototype for the network, performed a study using distributed principles assessing the comparative effectiveness of second line anti-hypertensive therapy, and created a blueprint for implementing a distributed health data network.

关键词：卫生保健;临床医疗信息;行政卫生信息;健康数据网络

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