最具魅力的女性什么样

据《中国资产新闻》凌月报道，零点———搜狐网上调查系统“三八”妇女节前公布的一项调查结果显示，“活力四溢”而又不乏“细腻”、有现代气质又兼顾家庭的外向型南方妹最有可能当选“最具魅力的女性”。这次有１６６３名上网人士在网上报告了他们所欣赏的女性特征。调...

十万火急

大概是人类的生存危机意识在不 断增强,当今灾难片的吸引力越 来越大,卖座率也居高不下。以往的空 难、海难、自然灾害之难的题材已用了 不少,本片与好来坞其他几部灾难片一 样,场景宏大,耗资甚巨,其内容与《地 火围城》相似,均是大城市中人们遭遇 的特大劫难,只是本片是由人为的破坏 引发的。故事的基本线索是围绕纽约的 海底隧道发生的一起车祸引发的大爆 炸展开,在连锁式的燃烧爆炸和落石封 锁的灾害发生后,一群劫后余生的幸存 者在凯特(史泰龙饰)的带领下。

CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach

Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.

A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization

The textile process planning is a knowledge reuse process in nature, which depends on the expert’s knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model (HIRM) for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized.

Cognitive Emotion Model for Eldercare Robot in Smart Home

Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbor algorithm(KNN) are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot's emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm(SA). Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state.

From Knowledge to Wisdom： The Case of a Micro-financing Network

As one of the most important and strategic actors of sustainable development, the micro-financing （MF） organizations are continuously adopting new strategic methods of collaboration for the success of their micro-financing missions. The paper presents the case of a newly established network of MF organizations created for the strategic objective of not only collaboration but for optimizing inter-organizational knowledge sharing systems for the micro-financing services. The purpose of the paper is to show the method used for the creation of this network, the mechanisms for its management, and the dynamisms and success factor,~ leading to its continuous development. The findings are derived from an interview with one of its most strategic founders, and material is provided by the network, and a questionnaire is administered to the members of the network. The results imply theoretical implications to innovation management and organizational development and change since the source of the creation of this network is innovative, and for the competencies of the founders and their awareness of the importance of change lead to the creation of this network. And the results also lead to managerial implications in the micro-financing sector through the provision of a unique excellent command example to follow.

Research on Library Management System based on RFID Technology

This paper analyses the demand of intelligent bookshelf system, designed the overall structure of intelligent Library shelves system based on RFID and create the system use case model. The analysis and design of the intelligent bookshelf system structure from two aspects of hardware and software, puts forward the three layer system structure model of intelligent bookshelf system based on RFID technology. The paper provide the analysis method and the design ideas of library intelligent bookshelf system, has the very high application value, contribute to the realization of library intelligent management and improve the level of library services, provide a useful reference to the development of current book positioning system and intelligent goods shelf system solution.

The Ecological Economic Model Based on Bounded Rational Agents

From the view of hominine bounded rationalities, this paper analyzes the important relationships between ecology and economics with behavioral finance. With a different focus, this paper adopts a new conceptualization of stock to show how this conceptualization leads to a new measure of the interaction between ecology and economics, based on bounded rational agents. The hierarchical structure of ecological economic system is described with a multi-agent sinmlation program. This paper also develops an ecological economic model, in which behavioral finance theories are applied to simulating the dynamics system. With the model this paper confirms, that macro-level indicalors of sustainability are predictably influenced by behaviors of bounded rational agents at the micro-level, We discuss the significance of these findings in order to better understand the ecological-economic system based on behavioral finance.

Constructive thinking,rational intelligence and irritable bowel syndrome

AIM： To evaluate rational and experiential intelligence in irritable bowel syndrome （IBS） sufferers. METHODS： We recruited 100 subjects with IBS as per Rome 11 criteria （50 consulters and 50 non-consulters） and 100 healthy controls, matched by age, sex and educational level. Cases and controls completed a clinical questionnaire （including symptom characteristics and medical consultation） and the following tests： rational- intelligence （Wechsler Adult Intelligence Scale, 3rd edition）; experiential-intelligence （Constructive Thinking Inventory）; personality （NEO personality inventory）; psychopathology （MMPI-2）, anxiety （state-trait anxiety inventory） and life events （social readjustment rating scale）. Analysis of variance was used to compare the test results of IBS-sufferers and controls, and a logistic regression model was then constructed and adjusted for age, sex and educational level to evaluate any possible association with IBS. RESULTS： No differences were found between IBS cases and controls in terms of IQ （102.0 ± 10.8 vs 102.8 ± 12.6）, but IBS sufferers scored significantly lower in global constructive thinking （43.7± 9.4 vs 49.6 ± 9.7）. In the logistic regression model, global constructive thinking score was independently linked to suffering from IBS [OR 0.92 （0.87-0.97）], without significant OR for total IQ. CONCLUSION： IBS subjects do not show lower rational intelligence than controls, but lower experiential intelligence is nevertheless associated with IBS.

Internet of Things for Demand Side Management

The introduction of new kinds of energy mixes to the electricity grid is a challenging environmental task for present and future generations as they fight the pollution and global warming issues associated with urbanization. Individual appliances and whole buildings that continuously incorporate local intelligence which originates from the new technologies of Internet of Things are the new infrastructure that this integration is based on. Smart Electricity Grids are becoming more intensively integrated with tertiary building energy management systems and distributed energy generators such as wind and solar. This new smart network type harnesses the loT （lnternet of Things） principles by generating a new network made of active elements combined with the necessary control and distributed coordination mechanisms. This new self-organized overlay network of connected DER （distributed energy resources） allows for the seamless management and control of the active grid as well as the efficient coordination and exploration of single and aggregated technical prosumer potential （generation and consumption） to participate in energy balancing and other distributed grid related services, applying energy management strategies based on control and predict of the DERs behavior for facing demand side management issues.

Investigating the Relationship Between Emotional Intelligence and Personality Types Among Nursing Candidates in Ardebil University, in Iran

Personality characteristics of each people are unique. It seems that these features of personality have an impact on emotional intelligence and ability to interact with people in a social environment. This study was conducted to investigate the relationship between emotional intelligence and personality types of nursing students. The research was descriptive and correlative. The study population consisted of Ardebil University of senior nursing candidates in 2011-2012. The study sample included 125 people. Assessment tools were the Bar-on Emotional Intelligence Inventory and MBTI （Myers-Briggs Type Indicator） personality type questionnaire. The data were analyzed by SPSS 20 （T-test, analysis of variance, Pearson correlation and multiple regression with significant level P〈0 .05）. Pearson correlation coefficients showed there is a significant inverse between variables extroversion-introversion and emotional intelligence with level of .01 （r=-522）. Therefore, personality characteristics impact on emotional intelligence of students. Thus, more research of emotional intelligence and personality characteristics is necessary at different levels to selection for nursing profession.

Intelligent Data Pre-processing Model in Integrated Ocean Observing Network System

There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.

A New Approach for Knowledge Discovery in Distributed Databases Using Fragmented Data Storage Model

Since the early 1990, significant progress in database technology has provided new platform for emerging new dimensions of data engineering. New models were introduced to utilize the data sets stored in the new generations of databases. These models have a deep impact on evolving decision-support systems. But they suffer a variety of practical problems while accessing real-world data sources. Specifically a type of data storage model based on data distribution theory has been increasingly used in recent years by large-scale enterprises, while it is not compatible with existing decision-support models. This data storage model stores the data in different geographical sites where they are more regularly accessed. This leads to considerably less inter-site data transfer that can reduce data security issues in some circumstances and also significantly improve data manipulation transactions speed. The aim of this paper is to propose a new approach for supporting proactive decision-making that utilizes a workable data source management methodology. The new model can effectively organize and use complex data sources, even when they are distributed in different sites in a fragmented form. At the same time, the new model provides a very high level of intellectual management decision-support by intelligent use of the data collections through utilizing new smart methods in synthesizing useful knowledge. The results of an empirical study to evaluate the model are provided.

从巨星张国荣跳楼谈自杀预防

2003年4月1日以来的几天,各大报纸、电视娱乐节目、网站等都竞相发布了香港艺人张国荣跳楼身亡的消息。年仅46岁的超级巨星张国荣于4月1日傍晚从中环文华东方酒店的24楼健身室上跳了下来。有目击者称,张独自跑上健身室,在该处徘徊逾1小时。后来,便发现他已经跳楼身亡了。

A platform of digital brain using crowd power

A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported.

Construction of smart inorganic nanoparticle-based ultrasound contrast agents and their biomedical applications

Ultrasound(US) imaging in combination with US contrast agents(UCAs) is a powerful tool in the modern biomedical field because of its high spatial resolution, easy access to patients and minimum invasiveness.The microbubble-based UCAs have been widely used in clinical diagnosis; however, they are only limited to the blood pool imaging and not applicable to the tissue-penetrated imaging due to their large particle size and structural instability. Inorganic nanoparticles(NPs), such as silica,gold and Fe x O y, featured with both satisfactory echogenic properties and structural stability have the potential to be used as a new generation of UCAs. In this review, we present the most recent progresses in the tailored construction of inorganic UCAs and their biomedical applications in the US imaging-involved fields. Firstly, the typical inorganic NPs with different structures including solid, hollow and multiple-layer forms will be comprehensively introduced in terms of their structure design,physicochemical property, US imaging mechanism and diverse applications; secondly, the recent progress in exploring the gas-generating inorganic NP system for US imaging purpose will be reviewed, and these intelligent UCAs are multifunctional for simultaneous US imaging and disease therapy; thirdly, several nanocomposite platforms newly constructed by combining inorganic UCAs with other functional components will be presented anddiscussed. These multifunctional NPs are capable of further enhancing the imaging resolution by providing more comprehensive anatomical information simultaneously.Last but not the least, the design criteria for developing promising UCAs to satisfy both clinical demands and optimized US imaging capability will be discussed and summarized in this review.