scholarly journals Research based on the development trend of world language

2018 ◽  
Vol 1 (4) ◽  
pp. 145
Author(s):  
Man Xiao ◽  
Long Mao ◽  
Hongmei Meng ◽  
Jinping Liu ◽  
Huan  Li ◽  
...  
Keyword(s):  
Virus Transmission ◽  
Development Trend ◽  
Transmission Model ◽  
General Tendency ◽  
Communication Model ◽  
Grey Prediction ◽  
Communication Tool ◽  
World Language ◽  
Language Communication ◽  
Set Up

Multicoloured languages play an irreplaceable role in the whole world as a useful communication tool. With the development of technology and science, varieties of languages have an ideal prospective tendency to evolution during the long and wonderful history. Will they be thriving or decaying?To begin with, aimed to gain general tendency about the quantity of languages’ speakers, we employ the Grey prediction to capture associative curve which can be seen in figure(1). From the trend of this vivid figure, we not only can come to the conclusion that the number of English and Chinese users tend to increase but also find that Spanish development will reach the period of stagnation.Secondly, for further improvement, we take birth rate, death rate, economic factors and the immigration into consideration and establish the language communication model. This model is deduced from the population prediction model and virus transmission model. After data normalization, the eventual curve indicates that current top-ten languages seem to be replace by other languages. This transformation phenomenon also occurs among such top-ten languages. For instance, Hindustani will replace Spanish in the future when seen from table(1).What’s more, after predicting the migration pattern, we can draw the conclusion that some range of languages’ dissemination has obvious change. As show in vivid figure(14), we know English will popularize widely among neighbouring countries such as Canada, Mexico, Cuba and Russia.Moreover, with regard to how to manage international offices’ quantity and locations in the world, we construct the efficiency model with combination of the Bayes’ probability theory and Fussy comprehensive assessment. As a result, we obtain 9 optimal plans to establish the international offices. Intelligible result is showed in table(4) and table(5).Furthermore, taking the variation of global communication and shortage of nature resource into consideration, therefore, we propose the international company to set up no more than 5 offices. And 5 offices tend to be the most optimal plan.In short, our model is reasonable and feasible, which can accommodate to different situation.

Multi-phase information aggregation and dynamic synthetic evaluation based on grey inspiriting control lines

2014 ◽  
Vol 4 (2) ◽  
pp. 154-163 ◽  
Author(s):  
San-dang Guo ◽  
Sifeng Liu ◽  
Zhigeng Fang ◽  
Lingling Wang
Keyword(s):  
Future Development ◽  
Information Aggregation ◽  
Development Trend ◽  
Future Application ◽  
Phase Information ◽  
Content Type ◽  
Multi Stage ◽  
Comprehensive Evaluations ◽  
Set Up ◽  
Multi Phase

Purpose – The purpose of this paper is to put forward a multi-stage information aggregation method based on grey inspiriting control lines to evaluate the objects dynamically and comprehensively. Design/methodology/approach – According to the evaluation value of the objects, the positive and negative incentive lines were set up and the predicted values were solved based on the grey GM(1, 1) model, so the value with expected information could be evaluated. In the evaluation, the part above the positive incentive line should be “rewarded” and that below the negative incentive line should be “punished” appropriately. Thereby the double incentive effects of “the current development situation and future development trend” to objects could be implemented on the basis of control. Findings – This method can primarily describe the decision maker's expectancy of the development of evaluation objects and make the evaluation results have better practical application value. Research limitations/implications – Many comprehensive evaluations were always based on the past information. However, the future development trend of the evaluated object is also very important. This study can be used in the evaluation for future application and development. Originality/value – The paper succeeds in providing not only a method of multi-phase information aggregation with expectancy information, but also a simple and convenient method solving nonlinear inspiring lines objectively.

scholarly journals The Latest Progress and Development Trend in the Research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the Field of Health Care

2021 ◽  
Vol 11 (19) ◽  
pp. 8896
Author(s):  
Xiuping Han ◽  
Xiaofei Wu ◽  
Jiadong Wang ◽  
Hongwen Li ◽  
Kaimin Cao ◽  
...  
Keyword(s):  
Health Care ◽  
Health Assessment ◽  
Development Trend ◽  
Developed Countries ◽  
Current Status ◽  
Research Subjects ◽  
Leading Position ◽  
Important Direction ◽  
Set Up ◽  
The Developed Countries

The current status of the research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the field of medical treatment, health care and nursing was analyzed systematically, and the important direction in the research was explored, to provide reference for the relevant researches. This study, based on two large databases, CNKI and PubMed, used the bibliometric analysis method to review the existing documents in the past 20 years, and made analyses on the literature of BCG and SCG for their annual changes, main countries/regions, types of research, frequently-used subject words, and important research subjects. The results show that the developed countries have taken a leading position in the researches in this field, and have made breakthroughs in some subjects, but their research results have been mainly gained in the area of research and development of the technologies, and very few have been actually industrialized into commodities. This means that in the future the researchers should focus on the transformation of BCG and SCG technologies into commercialized products, and set up quantitative health assessment models, so as to become the daily tools for people to monitor their health status and manage their own health, and as the main approaches of improving the quality of life and preventing diseases for individuals.

scholarly journals An Empirical Study Based on the Teaching Quality and Related Issues of Japanese Education in Colleges and Universities

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Xiaoxu Xu
Keyword(s):  
Modern Society ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Language Teachers ◽  
Japanese Language ◽  
Japanese Education ◽  
Communication Tool ◽  
Language And Culture ◽  
Language Communication ◽  
China’S Foreign Policy

China’s social and economic development has developed rapidly in recent years. International trade is getting closer and closer, trade and cultural exchanges with Japan have increased year by year. China’s foreign policy gradually develops towards internationalization. Japanese language plays a very important role in the process of friendly cooperation between China and Japan. At this juncture and circumstances, many universities have added Japanese language majors in order to improve the Japanese language communication skills among domestic college students and learn more about Japanese language and culture. Compared with English, Japanese is not a widely spoken language. Moreover, the Japanese language is used less frequently and has a smaller range of application. At present, Japanese has not become a major language communication tool for Chinese and as well as for foreign communication. Some universities still use the traditional teaching methods of the past to teach Japanese language. Teachers are not capable enough, it simply cannot meet the actual development needs of modern society, which requires us to pay enough attention to the teaching of Japanese in colleges and universities, in our work we summarize the problems existing in the teaching process of Japanese language today, and formulate corresponding perfect countermeasures.

Research on Method of Metro Monitoring Model Based on Grey Prediction Algorithm

2014 ◽  
Vol 548-549 ◽  
pp. 641-645
Author(s):  
Mao Hua Liu ◽  
Xiu Bo Sun
Keyword(s):  
Prediction Model ◽  
Safety Monitoring ◽  
Prediction Algorithm ◽  
Grey Prediction ◽  
Monitoring Point ◽  
Value Analysis ◽  
Grey Prediction Model ◽  
Monitoring Model ◽  
Surface Monitoring ◽  
Set Up

Grey prediction model is a model to predict the trend maturely, its application in the subway safety monitoring is of great significance. Set up by MATLAB software to complete the grey prediction model, and take the surface monitoring point for example, Comparing the prediction value with the actual measured value, analysis by the accuracy, obtain the trend of surface change around the subway station.

scholarly journals Development and Characterization of a Sin Nombre Virus Transmission Model in Peromyscus maniculatus

Viruses ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 183 ◽  
Author(s):  
Bryce Warner ◽  
Derek Stein ◽  
Bryan Griffin ◽  
Kevin Tierney ◽  
Anders Leung ◽  
...  
Keyword(s):  
Peromyscus Maniculatus ◽  
Deer Mouse ◽  
Virus Transmission ◽  
Transmission Model ◽  
Deer Mice ◽  
Sin Nombre Virus ◽  
Infection Model ◽  
Main Driver ◽  
Heat Shock Responses

In North America, Sin Nombre virus (SNV) is the main cause of hantavirus cardiopulmonary syndrome (HCPS), a severe respiratory disease with a fatality rate of 35–40%. SNV is a zoonotic pathogen carried by deer mice (Peromyscus maniculatus), and few studies have been performed examining its transmission in deer mouse populations. Studying SNV and other hantaviruses can be difficult due to the need to propagate the virus in vivo for subsequent experiments. We show that when compared with standard intramuscular infection, the intraperitoneal infection of deer mice can be as effective in producing SNV stocks with a high viral RNA copy number, and this method of infection provides a more reproducible infection model. Furthermore, the age and sex of the infected deer mice have little effect on viral replication and shedding. We also describe a reliable model of direct experimental SNV transmission. We examined the transmission of SNV between deer mice and found that direct contact between deer mice is the main driver of SNV transmission rather than exposure to contaminated excreta/secreta, which is thought to be the main driver of transmission of the virus to humans. Furthermore, increases in heat shock responses or testosterone levels in SNV-infected deer mice do not increase the replication, shedding, or rate of transmission. Here, we have demonstrated a model for the transmission of SNV between deer mice, the natural rodent reservoir for the virus. The use of this model will have important implications for further examining SNV transmission and in developing strategies for the prevention of SNV infection in deer mouse populations.

A Neural Network Forecasting Model of Beijing Motor Vehicles Sold Based on Set Pare Analysis

2011 ◽  
Vol 403-408 ◽  
pp. 2333-2336
Author(s):  
Xiao Xi Zhang ◽  
Ding Tian Zhang
Keyword(s):  
Development Trend ◽  
Motor Vehicles ◽  
Forecasting Model ◽  
Connection Number ◽  
Forecasting Accuracy ◽  
Principal Factors ◽  
Set Up ◽  
Partial Connection ◽  
Instance Analysis ◽  
The Development Trend

By applying neural networks to forecasting Beijing motor vehicles sold, sequencing the principal factors and analyzing the development trend using connection number and partial connection number of the set pair analysis (SPA), we set up the forecasting model of Beijing motor vehicles sold. The instance analysis shows that it is a scientific and suitable system analyzing method of high forecasting accuracy.

scholarly journals The Effects of Postplanting Environment on the Incidence of Soilborne Viral Diseases in Winter Cereals

2004 ◽  
Vol 94 (5) ◽  
pp. 527-534 ◽  
Author(s):  
L. Cadle-Davidson ◽  
G. C. Bergstrom
Keyword(s):  
Soil Temperature ◽  
Mosaic Virus ◽  
Disease Incidence ◽  
Virus Transmission ◽  
Systemic Infection ◽  
Differential Response ◽  
Yield Potential ◽  
Transmission Model ◽  
Winter Cereals ◽  
Environmental Requirements

Soilborne wheat mosaic virus (SBWMV) and Wheat spindle streak mosaic virus (WSSMV) are putatively transmitted to small grains by the obligate parasite Polymyxa graminis, but little is known about environmental requirements for transmission and the resulting disease incidence. We planted susceptible wheat and triticale cultivars in field nurseries on different autumn dates in 3 years and observed the incidence of symptomatic plants in each following spring. Autumn postplanting environment explained most of the variation in disease caused by both viruses. Little apparent transmission, based on eventual symptom development, of either virus occurred after the average soil temperature dropped below 7°C for the remainder of the winter. To forecast disease, we tested an SBWMV transmission model in the field, based on laboratory results, that predicts opportunities for transmission based on soil temperature and soil moisture being simultaneously conducive. This model was predictive of soilborne wheat mosaic in 2 of 3 years. Zoospores of P. graminis have optimal activity at temperatures similar to those in the SBWMV transmission model. Furthermore, the matric potential threshold (as it relates to waterfilled pore sizes) in the SBWMV transmission model fits well with P. graminis as vector given the size restrictions of P. graminis zoospores. Conditions optimal for SBWMV transmission in the laboratory were not conducive for WSSMV transmission in the laboratory or for wheat spindle streak mosaic development in the field. This differential response to environment after emergence, as indicated by disease symptoms, may be due to virus-specific environmental conditions required to establish systemic infection via the same vector. Alternatively, the differential response may have been due to the involvement of a different vector in our WSSMV nursery than in our SBWMV nursery. Our results suggest that, as a control tactic for SBWMV or WSSMV, earliness or lateness of planting is less important in determining virus transmission and disease than the specific postplanting environment. Improved models based on the postplanting environment might predict virus-induced losses of yield potential, and in some cases, growers might avoid purchase of spring inputs such as pesticides and fertilizer for fields with greatly reduced yield potential.

scholarly journals Projections of increased and decreased dengue incidence under climate change

2016 ◽  
Vol 144 (14) ◽  
pp. 3091-3100 ◽  
Author(s):  
C. R. WILLIAMS ◽  
G. MINCHAM ◽  
H. FADDY ◽  
E. VIENNET ◽  
S. A. RITCHIE ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Warming ◽  
Carbon Emission ◽  
Climate Models ◽  
Virus Transmission ◽  
Transmission Model ◽  
Simple Relationship ◽  
Breeding Sites ◽  
Dengue Transmission ◽  
Dengue Epidemic

SUMMARYDengue is the world's most prevalent mosquito-borne disease, with more than 200 million people each year becoming infected. We used a mechanistic virus transmission model to determine whether climate warming would change dengue transmission in Australia. Using two climate models each with two carbon emission scenarios, we calculated future dengue epidemic potential for the period 2046–2064. Using the ECHAM5 model, decreased dengue transmission was predicted under the A2 carbon emission scenario, whereas some increases are likely under the B1 scenario. Dengue epidemic potential may decrease under climate warming due to mosquito breeding sites becoming drier and mosquito survivorship declining. These results contradict most previous studies that use correlative models to show increased dengue transmission under climate warming. Dengue epidemiology is determined by a complex interplay between climatic, human host, and pathogen factors. It is therefore naive to assume a simple relationship between climate and incidence, and incorrect to state that climate warming will uniformly increase dengue transmission, although in general the health impacts of climate change will be negative.

Study on the Prediction Control Model Based on GM(1, 1)

2014 ◽  
Vol 631-632 ◽  
pp. 728-731
Author(s):  
Zhong Cheng Zhang
Keyword(s):  
House Price ◽  
Housing Price ◽  
Development Trend ◽  
Control Model ◽  
Grey Prediction ◽  
Grey System ◽  
Prediction Theory ◽  
Prediction Control ◽  
And Control ◽  
The Development Trend

With the development and application of prediction theory in the fields of engineering and control, the grey prediction model is introduced. Real estate can be regarded as a grey system in the engineering circle, and housing price is an uncertain indicator which is affected by multiple factors such as policy, market, and economy. In this paper, we study the prediction control problem of housing price, and present a prediction control model of housing price based on GM(1, 1). From the house price data of Huanggang city in recent five years, we use this prediction control model to predict the development trend of housing price in the next five years. We try to provide an effective reference for housing price control.

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