中人网企业内训课程

作为中人网EMD卓越管理支持体系的重要组成部分，企业内训项目经过四年多的系统整合与完善，形成了以人力资源管理类课题为核心，以知名培训是与管理实战专家为主的优秀内训讲师队伍。中人网的内训讲师专长于人力资源、市场营销、战略与文化、生产与运营、管理人员技能提升、项目管理、财务管理等方向，曾为几百家各类企业做了数千场企业内部培训服务。

Review of the Development of China's Mobile Broadband Networks

The year of 2014 saw the beginning of China's LTE,which marks that China has become one of the major engines for the global LTE development.China dazzled in the construction of LTE networks,subscribers,and industry chain.However,the policy formulated around TD-LTE also put China in predicament and brought it many challenges.With this article,we are going to put China's market for mobile broadband networks into perspective,focusing on the development of China's LTE market,challenges that encountered,and the research in this area in the years to come.Besides,in regards to the problems that already appeared,we will,from policy-making,industry-level,and technological points of view,offer our suggestions on how China should do to make this market robust.

Artificial neural network modeling of water quality of the Yangtze River system:a case study in reaches crossing the city of Chongqing

An effective approach for describing complicated water quality processes is very important for river water quality management. We built two artificial neural network(ANN) models,a feed-forward back-propagation(BP) model and a radial basis function(RBF) model,to simulate the water quality of the Yangtze and Jialing Rivers in reaches crossing the city of Chongqing,P. R. China. Our models used the historical monitoring data of biological oxygen demand,dissolved oxygen,ammonia,oil and volatile phenolic compounds. Comparison with the one-dimensional traditional water quality model suggest that both BP and RBF models are superior; their higher accuracy and better goodness-of-fit indicate that the ANN calculation of water quality agrees better with measurement. It is demonstrated that ANN modeling can be a tool for estimating the water quality of the Yangtze River. Of the two ANN models,the RBF model calculates with a smaller mean error,but a larger root mean square error. More effort to identify out the causes of these differences would help optimize the structures of neural network water-quality models.

Improvements on robust email protocols with perfect forward secrecy

According to the security shortages of two robust practical email protocols with perfect forward secrecy, attacks on the two protocols are analyzed and corresponding improvements on the two protocols are proposed. First, by analyzing the two email protocols, the corresponding man-in-the-middle attacks are proposed, where the adversary forges the messages in the receiving phase to cheat the two communication participants and makes them share the wrong session keys with him. Consequently, the man-in-the-middle attacks can make the two protocols fail to provide perfect forward secrecy. Secondly, by adding corresponding signatures in the receiving phases of the two protocols, two corresponding improvements on the protocols are proposed to overcome the man-in-the-middle attacks on the two protocols and make them provide perfect forward secrecy. Moreover, the two improved protocols can retain all the merits of the former protocols.

Ecosystem Health Assessment of Honghu Lake Wetland of China Using Artificial Neural Network Approach

Honghu Lake,located in the southeast of Hubei Province,China,has suffered a severe disturbance during the past few decades.To restore the ecosystem,the Honghu Lake Wetland Protection and Restoration Demonstration Project(HLWPRDP) has been implemented since 2004.A back propagation(BP) artificial neural network(ANN) approach was applied to evaluatinig the ecosystem health of the Honghu Lake wetland.And the effectiveness of the HLWPRDP was also assessed by comparing the ecosystem health before and after the project.Particularly,12 ecosystem health indices were used as evaluation parameters to establish a set of three-layer BP ANNs.The output is one layer of ecosystem health index.After training and testing the BP ANNs,an optimal model of BP ANNs was selected to assess the ecosystem health of the Honghu Lake wetland.The result indicates that four stages can be identified based on the change of the ecosystem health from 1990 to 2008 and the ecosystem health index ranges from morbidity before the implementation of HLWPRDP(in 2002) to middle health after the implementation of the HLWPRDP(in 2005).It demonstrates that the HLWPRDP is effective and the BP ANN could be used as a tool for the assessment of ecosystem health.

TCM Treatment of Fundus Hemorrhage due to Obstruction of Retinal Vein

Twenty-four cases (25 eyes) of fundus hemorrhage due to obstruction of the retinal vein were treated with traditional Chinese herbal drugs and satisfactory therapeutic results were obtained. A brief report is as follows.……

Establishing and validating a spotted tongue recognition and extraction model based on multiscale convolutional neural network

Objective In tongue diagnosis,the location,color,and distribution of spots can be used to speculate on the viscera and severity of the heat evil.This work focuses on the image analysis method of artificial intelligence(AI)to study the spotted tongue recognition of traditional Chinese medicine(TCM).Methods A model of spotted tongue recognition and extraction is designed,which is based on the principle of image deep learning and instance segmentation.This model includes multiscale feature map generation,region proposal searching,and target region recognition.Firstly,deep convolution network is used to build multiscale low-and high-abstraction feature maps after which,target candidate box generation algorithm and selection strategy are used to select high-quality target candidate regions.Finally,classification network is used for classifying target regions and calculating target region pixels.As a result,the region segmentation of spotted tongue is obtained.Under non-standard illumination conditions,various tongue images were taken by mobile phones,and experiments were conducted.Results The spotted tongue recognition achieved an area under curve(AUC)of 92.40%,an accuracy of 84.30%with a sensitivity of 88.20%,a specificity of 94.19%,a recall of 88.20%,a regional pixel accuracy index pixel accuracy(PA)of 73.00%,a mean pixel accuracy(m PA)of73.00%,an intersection over union(Io U)of 60.00%,and a mean intersection over union(mIo U)of 56.00%.Conclusion The results of the study verify that the model is suitable for the application of the TCM tongue diagnosis system.Spotted tongue recognition via multiscale convolutional neural network(CNN)would help to improve spot classification and the accurate extraction of pixels of spot area as well as provide a practical method for intelligent tongue diagnosis of TCM.

Acupuncture Treatment of Superficial Pain by Subcutaneous Needling

Subcutaneous needling is an old art of the 'twelve needling methods' in TCM for treating arthralgia due to cold or disorders in the superficial tissues. Some cases are effectively treated as introduced below.……

Stable isotopes in aquatic food web of an artificial lagoon in the Hangzhou Bay,China

Stable isotope values, δ13C and δ15N, were determined for four primary producers and 19 dominant consumers in a small artificial lagoon located in Hangzhou Bay. Based on these results the major pathways for energy flow and trophic structure of the artificial lagoon ecosystem were characterized. The mean δ13C values for the 19 consumers ranged from -22.99‰ to -14.24‰. Apart from so-iny mullet Liza haematocheila, the other 18 consumers had intermediate δ13C values between those of epibenthic microalgae and particulate organic matter (POM). The results of a multiple source linear mixing model (IsoSource model) indicated that 50% or more of the organic carbon in the tissues of most consumers was derived from epibenthic microalgae. This indicated that these primary producers were the main food source fueling the lagoon food web. The mean δ15N values for the 19 consumers varied between 4.93‰ and 12.97‰ and indicated four trophic levels in the lagoon. Four macroinvertebrates and zooplankton represented the primary consumers, whilst the other 14 consumers occupied the secondary and tertiary consumer levels. The 19 consumers were divided into three trophic guilds (detritivores/suspension feeders, omnivores and carnivores).

A Motherland That One Cannot Return to An Interpretation on Song of The Chu From a Perspective of Cultural Security

Song of The Chu, a novel written by LAN Zi-- a Chinese Australian writer, recounts the struggle in Australia over 20 years （1988-2008） of a group of Chinese young people. Cultural difference or even conflict is one of the inevitable issues in terms of migration. The Chinese （Han） culture which belongs to the continental civilization and the Australian （Western） culture which belongs to the maritime one are both mighty and cannot be conquered or assimilated by each other. This means that the Chinese immigrants to Australia, compared to the ones from a less mighty culture, are more sensitive and resistant to the impact of an alien culture, which leads to a conscious or unconscious sense of security of the mother culture. Cultural security, not unidirectional, also refers to the worry by the locals of the impact brought by the immigrants. The protagonist resorts to converting to Buddhism as a solution to the cultural schizophrenia

Simulation of bidirectional pedestrian flow in transfer station corridor based on multi forces

A good understanding of pedestrian movement in the transfer corridor is vital for the planning and design of the station,especially for efficiency and safety.A multi-force vector grid model was presented to simulate the movement of bidirectional pedestrian flow based on cellular automata and forces between pedestrians.The model improves rule-based characteristics of cellular automata,details forces between pedestrians and solves pedestrian collisions by a several-step updating method to simulate pedestrian movements.Two general scenarios in corridor were simulated.One is bidirectional pedestrian flow simulation with isolation facility,and the other is bidirectional pedestrian flow simulation without isolation facility,where there exists disturbance in the middle.Through simulation,some facts can be seen that pedestrians in the case with isolation facility have the largest speed and pedestrians in the case without isolation facility have the smallest speed; pedestrians in the case of unidirectional flow have the largest volume and pedestrians in the case of without isolation facility have the smallest volume.

Liberals, Communitarians, Republicans and the Intervention of the State in the Private Sphere

The aim of this paper is to discuss whether the increasing intervention of the state in the private sphere-as is evidenced in labor laws, consumer rights, bioethics, and Internet crimes-is compatible with the liberal ideal of neutrality, or, on the contrary, whether it can be seen as a turning point towards the position of communitarian or republican authors, for whom the state must endorse a substantive good. Such a turning point could lead to a reformulation of the public and private spheres, and of course, raise questions over which values justify which kinds of intervention. This paper will cover these debates in three parts： First, by presenting briefly the history of the liberal conception of rights, I will try to show that, from a starting point based mostly on individual protection, the liberal tradition has become more interventionist, which can be seen through the notion of ＂claim rights.＂ Departing from John Rawls＇s work, I will argue that this notion allows for some level of intervention, without betraying liberal neutrality. Subsequently, I will discuss the difference between this kind of intervention and the ones proclaimed by communitarians and republicans authors： The former will be illustrated by Michael Sandel＇s criticism of Rawls in Liberalism and the Limits of Justice, and the later by Richard Dagger＇s position in Civic Virtues, Citizenship, and Republican Liberalism. Finally, in the third part, we＇ll discuss whether liberal principles can be harmonized with the republican and communitarian focus on civic virtues and good life.

Skeletal element distributions of the large herbivores from the Lingjing site,Henan Province,China

More than ten thousands of bone fragments were recovered from the Lingjing site, Henan Province during 2005 and 2006. In this paper, through the quantification and statistical analyses of the skeletal elements of the two predominant species in this assemblage, aurochs (Bos primigenius) and horse (Equus caballus), the differential influences and weights of a variety of taphonomic agencies in the formation of the assemblage are assessed respectively. Compared to the natural agencies, hominid hunting and the subsequent disarticulation, slaughtering, and their transport of the bone elements of the prey species are the main factors accounting for the formation of the present assemblage. More importantly, this study initiatively identifies hominid's differential treatment of the bones of aurochs and horse in the Paleolithic record of East Asia and demonstrably suggests that hominids at the site have already practiced sophisticated hunting techniques and subsistence strategies and may be quite familiar with the ecological and anatomical characteristics and nutritional values of the large-sized prey animals and can accordingly take different processing and handling strategies at the hunting site.

Unfolding the fast neutron spectra of a BC501A liquid scintillation detector using GRAVEL method

Accurate knowledge of the neutron energy spectra is useful in basic research and applications. The overall procedure of measuring and unfolding the fast neutron energy spectra with BC501 A liquid scintillation detector is described. The recoil proton spectrum of 241Am-Be neutrons was obtained experimentally. With the NRESP7 code, the response matrix of detector was simulated.Combining the recoil proton spectrum and response matrix, the unfolding of neutron spectra was performed by GRAVEL iterative algorithm. A MatLab program based on the GRAVEL method was developed. The continuous neutron spectrum of 241Am-Be source and monoenergetic neutron spectrum of D-T source have been unfolded successfully and are in good agreement with their standard reference spectra. The unfolded 241Am-Be spectrum are more accurate than the spectra unfolded by artificial neural networks in recent years.

Data mining-based study on sub-mentally healthy state among residents in eight provinces and cities in China

OBJECTIVE: To apply data mining methods to research on the state of sub-mental health among residents in eight provinces and cities in China and to mine latent knowledge about many conditions through data mining and analysis of data on 3970 sub-mentally healthy individuals selected from 13385 relevant question naires.METHODS: The strategic tree algorithm was used to identify the main mani festations of the state of sub-mental health. The backpropogation artificial neural network was used to analyze the main mani festations of sub-healthy mental states of three different degrees. A sub-mental health evaluation model was then established to achieve predictive evaluationresults.RESULTS: Using classifications from the Scale of Chinese Sub-healthy State, the main manifestations of sub-mental health selected using the strate gictree were F1101(Do you lack peace of mind?),F1102(Are you easily nervous when something comes up?), and F1002(Do you often sigh?). The relative intensity of manifestations of sub-mental health was highest for F1101, followed by F1102,and then F1002. Through study of the neural network, better differentiation could be made between moderate and severe and between mild and severe states of sub-mental health. The differentiation between mild and moderate sub-mental health states was less apparent. Additionally, the sub-mental health state evaluation model, which could be used to predict states of sub-mental health of different individuals, was established using F1101, F1102, F1002, and the mental self-assessment totals core.CONCLUSION: The main manifestations of the state of sub-mental health can be discovered using data mining methods to research and analyze the latent laws and knowledge hidden in research evidence on the state of sub-mental health. The state of sub-mental health of different individuals can be rapidly predicted using the model established here.This can provide a basis for assessment and intervention for sub-mental health. It can also replace the relatively outdated approaches to research on sub-health in the technical era of information and digitization by combining the study of states of sub-mental health with information techniques and by further quantifying the relevant information.