Renewable Polymers in Biomedical Applications:From the Bench to the Market

Polymers from renewable resources have been used for a long time in biomedical applications and found an irreplaceable role in some of them.Their uses have been increasing because of their attractive properties,contributing to the improvement of life quality,mainly in drug release systems and in regenerative medicine.Formulations using natural polymer,nano and microscale particles preparation,composites,blends and chemical modification strategies have been used to improve their properties for clinical application.Although many studies have been carried out with these natural polymers,the way to reach the market is long and only very few of them become commercially available.Vegetable cellulose,bacterial cellulose,chitosan,poly(lactic acid)and starch can be found among the most studied polymers for biological applications,some with several derivatives already established in the market,and others with potential for such.In this scenario this work aims to describe the properties and potential of these renewable polymers for biomedical applications,the routes from the bench to the market,and the perspectives for future developments.

Application of Elzaki Transform Method to Market Volatility Using the Black-Scholes Model

Black-Scholes Model (B-SM) simulates the dynamics of financial market and contains instruments such as options and puts which are major indices requiring solution. B-SM is known to estimate the correct prices of European Stock options and establish the theoretical foundation for Option pricing. Therefore, this paper evaluates the Black-Schole model in simulating the European call in a cash flow in the dependent drift and focuses on obtaining analytic and then approximate solution for the model. The work also examines Fokker Planck Equation (FPE) and extracts the link between FPE and B-SM for non equilibrium systems. The B-SM is then solved via the Elzaki transform method (ETM). The computational procedures were obtained using MAPLE 18 with the solution provided in the form of convergent series.

Application of Data mining in Enterprise Network Marketing

With the rapid development of the Internet, market has been increasingly competitive and competition means are various. Internet Marketing has become a new way for enterprises to grow. Data mining of enterprise network marketing has become the new darling of many business managers.The marketing data will become a key to develop a corporate marketing strategy as an important basis tool. However, many companies now make mistakes in marketing data. They can＇t fully exploit the marketing data.lt can affect the development of enterprise network marketing strategy. This paper is based on the concept of marketing data and outline the importance of data mining for network marketing, then analyze a significant impact on the entemrise network marketin~ strate^w made by marketinR data mininR.

Research on the application of the data mining technology in the electronic commerce network marketing

With the rapid development of China＇s reform and opening up and the socialist market economy, the development of Internet technology has promoted the prosperity of e-commerce, and further promoted the rapid development of China＇s economy. Data mining technology is an advanced science and technology, which has important implications for the e-commerce data processing. Through the summary of the data mining technology, this article puts forward the application of data mining technology in electronic commerce, in order to better promote the development of electronic commerce.

Application of Virtual Fitting Technology and Impac on the Clothing Market

List the advantages of virtual fitting technology, summarize virtual insufficient in the development of present situation and the fitting technique of application examples. Analyze the influence of virtual fitting to the clothing market entity stores and clothing market e-commerce. According to the present situation of the virtual fitting, realize the sustainable ideas of the future direction of life.

Mechanisms for the Application of Health Services Marketing Policies in Algeria

In this paper, we tried to give health services marketing mix and raise patients＇ interest in health services with the contribution to highlighting the possible application mechanisms of different marketing policies on health services in Algeria. Because we see that, health foundations in Algeria like other foundations live in an environment marked with constantly economic, social, politic, and cultural changes. And to respond to change requirements, especially with the appearance of health services market liberation signs, these foundations are obliged to adapt to ensure their existence and development by giving best services to meet the patients＇ needs in order to gain their satisfaction and loyalty. These ones, who became more conscious about the quality of services they are given quantitatively, qualitatively, and timely.

The In-orbit Application of 25Nms Gyroscope Fills the Gap in Domestic Market

After the successful launch of Yaogan 14, the 25Nms control moment gyroscope onboard the Yaogan 14 satellite successfully finished the attitude maneuver commands to the satellite and operates in a normal state. The successful maiden use of the 25Nms gyroscope fills the gap in the field of small control moment gyroscopes in

Time of Application of <i>S</i>-Metolachlor Affects Growth, Marketable Yield and Quality of Carrot and Red Beet

Tolerance of carrot and red beet to s-metolachlor at three application timings—pre-emergence to crop (PRE), early postemergence (crop at two to four leaf stage-EPOST), and late postemergence (crop at five to seven leaf stage-LPOST) —was determined from 2008 to 2010. LPOST applications of s-metolachlor reduced carrot above ground plant dry weight, marketable yield and grower payment, but did not affect carrot length. PRE and LPOST applications of s-metolachlor reduced red beet above ground plant dry weight, total marketable yield, yield of No. 2 and No. 3 red beet, and grower payment. Our findings indicate that while carrot may be tolerant to PRE applications of s-metolachlor, applications made after the 5 leaf stage reduced plant dry weight enough to impact marketable yield and grower payment. In red beet, the potential reduction in growth, yield and grade would not justify the utility of a PRE or LPOST applica- tion timing.

The Development of Market Method of Asset Appraisal Based on the Application of Big Data

Big data could be utilized in work and life. Asset appraisal could also make full use of big data to improve the efficiency and effectiveness of appraisal. The paper is going to study the application of big data in different fields to learn how big data works in practices and what the effect is after utilizing the new tool. Then, the paper is going to apply big data in appraisal in specific work environment. By collecting information, researching literature and practicing with appraisers, this paper f＇mds some means to improve market method by making full use of big data. The article researched further by applying the method in different projects of asset appraisal. Real estate, intangible asset, corporate valuation and machines could be valued by the market method improved by big data. There are different details for appraisers to be careful in practical work. Some companies have already put the technology into practice and achieved great benefit, which makes the application of big data meaningful.

A Fast LDL-factorization Approach for Large Sparse Positive Definite System and Its Application to One-to-one Marketing Optimization Computation

LDL-factorization is an efficient way of solving Ax = b for a large symmetric positive definite sparse matrix A. This paper presents a new method that further improves the efficiency of LDL-factorization. It is based on the theory of elimination trees for the factorization factor. It breaks the computations involved in LDL-factorization down into two stages： 1） the pattern of nonzero entries of the factor is predicted, and 2） the numerical values of the nonzero entries of the factor are computed. The factor is stored using the form of an elimination tree so as to reduce memory usage and avoid unnecessary numerical operations. The calculation results for some typical numerical examples demonstrate that this method provides a significantly higher calculation efficiency for the one-to-one marketing optimization algorithm.

Analysis on Present Situation of Anaerobic Digestion Products of Sludge in Landscaping Application and Market Demand in Chongqing

Taking the anaerobic digestion products of sludge as the object, through the analysis on the development of garden substrate market at home and abroad and the development status of horticultural products from the anaerobic digestion products, the direction for the utilization of the anaerobic digestion products of sludge was pointed out. Based on the demand of Chongqing’s garden market, this paper analyzed the potential utilization of sludge anaerobic digestion products in Chongqing, and briefly introduced the research status of landscaping utilization of sludge anaerobic digestion products in Chongqing, in order to provide reference for the industry.

Application of Internet of Things Technology in Enterprise Marketing Management Innovation

Marketing is a very important part of an enterprise.A rational and scientific marketing management can not only reduce the cost of enterprise sales,but also greatly improve the competitiveness of enterprises.The purpose of this paper is to study the innovative application of enterprise marketing management based on the Internet of Things technology.The most suitable competitive strategy of the company is put forward as the centralized strategy.And put forward the clear strategy implementation details,introduced the current situation and history of the Internet of things,and combined with the development status,put forward the necessity of the enterprise marketing management system based on the Internet of things technology.It provides a guiding direction for most enterprises to formulate business competition strategies.The theory and technology used in system development are introduced,including C/S structure,B/S structure,NET Framework,AJAX technology,and database technology.The system design process is introduced in detail,including business process design,architecture design and system operation planning.The functional test cases and test environment for system testing are introduced.The results show that when 200 people log in at the same time,the response time is 1.5 s.

Improvement in Hurst exponent estimation and its application to financial markets

This research aims to improve the efficiency in estimating the Hurst exponent in financial time series.A new procedure is developed based on equality in distribution and is applicable to the estimation methods of the Hurst exponent.We show how to use this new procedure with three of the most popular algorithms(generalized Hurst exponet,total triangles area,and fractal dimension)in the literature.Findings show that this new approach improves the accuracy of the original methods,mainly for longer series.The second contribution of this study is that we show how to use this methodology to test whether the series is self-similar,constructing a confidence interval for the Hurst exponent for which the series satisfies this property.Finally,we present an empirical application of this new procedure to stocks of the S&P500 index.Similar to previous contributions,we consider this to be relevant to financial literature,as it helps to avoid inappropriate interpretations of market efficiency that can lead to erroneous decisions not only by market participants but also by policymakers.

A Survey on Methods and Applications of Intelligent Market Basket Analysis Based on Association Rule

The market trends rapidly changed over the last two decades.The primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis techniques.Market Basket Analysis has a tangible effect in facilitating current change in the market.Market Basket Analysis is one of the famous fields that deal with Big Data and Data Mining applications.MBA initially uses Association Rule Learning(ARL)as a mean for realization.ARL has a beneficial effect in providing a plenty benefit in analyzing the market data and understanding customers’behavior.An important motive of using such techniques is maximizing the business profit as well as matching the exact customer needs as closely as possible.In this survey paper,we discussed several applications and methods of MBA based on ARL.Also,we reviewed some association rule learning measurements including trust,lift,leverage,and others.Furthermore,we discuss some open issues and future topics in the area of market basket analysis and association rule learning.

The Entrepreneurial Marketing Concept and Its Application by the International New Ventures

For the last two decades, there has been an ongoing research concerning the international new ventures （INV） or born global （BG） companies which are rapidly entering foreign markets. They face challenges connected with their marketing activity, because they launch relatively more product innovations in a shorter time than the gradually internationalized companies （GRAD）. The entrepreneurial marketing （EM） concept could become a solution to some of these challenges, because of a greater entrepreneurial intensity （EI） and different decision-making approach than ＂classical＂ marketing concept. This study＇s aim is to analyze the EM concept and application of its elements by the INVs originating from Poland. Based on two computer-aided telephone interview （CATI） studies of INVs from the Polish industrial processing sector, the central elements of EM, applied by them, are explored, together with their relationship to INV performance. As it is shown, the INVs introduce significantly more product innovations than the gradually internationalized small and medium sized enterprises （SMEs）. They often exceed competitors in the speed of launching innovations and are flexible in entering new markets. The entrepreneurial orientation （EO） indicators are at low to medium levels in all studied SMEs. However, the propensity to risk is slightly stronger in the INVs and correlated moderately with the financial performance. As the study shows, lack of emphasis on marketing planning and information gathering is the characteristic of the Polish INVs, which may testify to their effectual approach to decision making. Furthermore, similar as in the foreign-based INVs, there may exist a relationship between the application of the EM concept and performance of the Polish INNs, which, however, requires further study with respect to some mediating factors. It has been concluded that innovativeness of the product offering and propensity to risk seems to be the characteristic EM concept elements accompanying the rapid internationalization of INVs. The future research should focus on other elements of the EM-mix applied by INVs originating from emerging economies.

Theatre Arts as Social Marketing Application Tool： Sustainable Development Approach to Diffuse the Environmental Message to Teenagers in Chiang Mai, Thailand

Often, the word ＂community＂ and ＂sustainability＂ are interlinked in 21st century development approaches. Most development communicators have focused on top-down communication strategies and used various means to diffuse the message to the target community. However, with the change in media landscape today, the challenge is how to select the ＂right＂ communication application to foster the behavioral and cognitive sustainable changes in their own community. This research aims to investigate theatrical performance as sustainable communicative means demonstrating environmental issues and the concepts of sustainable development among high school students and Chiang Mai University students. With the application of ＂Devised Theatre＂, the process provides a space to investigate the attributes, characteristics and development of community theatre on how it reflects the concept of communication for social change. The research, therefore, examines the outcome of this creative social application tool and utilizes Practice as Research （PAR） a research methodology. The result will reveal the following： （1） how dramatic arts can be an effective means of social marketing to raise ＂awareness＂ on environmental issues; （2） how the performance raises environmental awareness in not only physical and psychological phases, but also spiritual dimension as a learning process among the participants, and （3） the sustainability of theatrical social application tool in which the participants of devised theatre project （devisees） can become the devisors in order to form new generation of the devisees--the teenage audience.

The Application of the Emerging Market Score Model in China During the Global Crisis Period： A Countertrend

The global economic crisis that blew up at the end of 2006 in the United States has had extremely negative impacts on the social, political, and economic fields. The countries operating in the most affected macro areas---the United States and Europe---have put through the wringer the domestic trade relationships as well as the international ones, by injecting a chain reaction into the global economic scenario. However, there are countries that seem to be free from the economic and financial contagion overflowing over the past years, as they are moved by an ＂invincible projection toward the growth＂. The present study aims to analyze how much the main emerging market of China has been effectively involved in this vicious circle. More specifically, the study intends to propose an empirical analysis on the real connection between the macroecnnomic data and the strong structure of the Chinese publicly listed companies. This paper investigates the prediction of failure among 3,220 Chinese publicly traded companies （listed companies） during the global crisis period. By analysing the financial accounting data over the past seven years （2008 to 2014）, the emerging market score （EMS） has been adopted in order to investigate the impact of the crisis on financial distress in the main emerging market of China. The results confirm the following hypotheses： On one hand, the great majority of companies have not been suffering the downturn, since 71.93% of the entire samples present no risk of financial distress during the global crisis; on the other hand, only 6.18% have a reasonable risk of financial distress.

Purification,application and current market trend of natural graphite:A review

Graphite has a stacked planar sp2-hybridized C6 ring structure,displaying a polymorphism with rhombohedral,hexagonal,and turbostratic.Based on its structure-property relationship,it affords a variety of technologically innovative applications or performances in industries,such as lithium-ion batteries,fuel cells,two dimensional graphene,water purification,electronics,fiber optics,spintronics,refractories,electrical products,electric vehicles,etc.The monetary value of graphite depends largely on carbon content and flake size.However,the physical separation of graphite from its ore body is known to be very expensive,energy intensive and time-consuming.Hence,this study extensively describes a current purification method for producing high-quality graphite material with impurities reaching about 10–100 mg/kg,attracting a lot of end users.It also describes the potential applications of graphite materials and identifies the future scope of a new market,depending on material purity.Finally,the current and future graphite-mining countries are investigated in details.

The Research on and Application of the Multi-regression Technique in the Course of the Marketing Decision-making of Enterprises

The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep artment has diverted to that of marketing decision-making, which face to market and meet with the need of consumption. Assuredly, the kernel of marketing decis ion-making is to prognosticate the future market demand of the production of en terprises accurately, so that it can ensure and realize the maximum of the enter prises’ profit increase. Using empirical research and the multi-regression technique, this paper ana lyzes the enterprises’ production demand forecast of the GMC (Global Management Challenge, held every year globally) and changes most of uncontrollable factors of demand forecast to the controllable ones of the enterprises. The method we us ed to forecast demand by using the multi-regression technique is as follows: 1. Look for the main factors which influence the demand of productions; 2. Establish the regression model; 3. Using the historical data, find the resolution of the correlative index an d do the prominent test; 4. Analyze and compare, regression, adjust parameter and optimize the regress ion model. Our method will make the forecast data closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object w ith the minimum of the cost and the maximum of the profit. And it can ensure the realization of the equity maximum of the enterprises and increase the lifecycle of the production.