scholarly journals A Listed Company Evaluation Based on DCF Model-the Case of Medical Apparatus and Instruments Industry

Author(s):  
Luyao Cheng
2014 ◽  
Vol 651-653 ◽  
pp. 1691-1694
Author(s):  
Jin Liang Zhang

Medical equipment maintenance and use of personnel, is crucial. Used properly and rational division of engineering and technical personnel, strict management, to train engineering technical personnel with professional spirit, all-round for clinical medical services; To strengthen the training of equipment use of personnel, highlight the preventive maintenance and maximize or prolonged trouble-free of medical instrument equipment, ensure the effective operation of the clinical diagnosis and treatment work.


1969 ◽  
Vol 3 (1) ◽  
pp. 46-47
Author(s):  
G. Ya. Kogtev ◽  
Yu. N. Rumyantsev
Keyword(s):  

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3175
Author(s):  
Ravindra Prajapati ◽  
Kirtika Kohli ◽  
Samir K. Maity ◽  
Brajendra K. Sharma

Plastic is referred to as a “material of every application”. From the packaging and automotive industries to the medical apparatus and computer electronics sectors, plastic materials are fulfilling demands efficiently. These plastics usually end up in landfills and incinerators, creating plastic waste pollution. According to the Environmental Protection Agency (EPA), in 2015, 9.1% of the plastic materials generated in the U.S. municipal solid waste stream was recycled, 15.5% was combusted for energy, and 75.4% was sent to landfills. If we can produce high-value chemicals from plastic wastes, a range of various product portfolios can be created. This will help to transform chemical industries, especially the petrochemical and plastic sectors. In turn, we can manage plastic waste pollution, reduce the consumption of virgin petroleum, and protect human health and the environment. This review provides a description of chemicals that can be produced from different plastic wastes and the research challenges involved in plastic waste to chemical production. This review also provides a brief overview of the state-of-the-art processes to help future system designers in the plastic waste to chemicals area.


2017 ◽  
Vol 62 (3) ◽  
pp. 1443-1447 ◽  
Author(s):  
T. Maciąg ◽  
J. Wieczorek ◽  
B. Węcki

AbstractElectropolishing is electrochemical method used in metal working that has a vital role in production of medical apparatus, in food or electric industry. The purpose of this paper is to determine optimal current parameters and time required for conducting electropolishing process from the perspective of changes of surface microgeometry. Furthermore, effect of different types of mechanical working used before electropolishing on final surface state was evaluated by observation in changes of topography. Research was conducted on electrolytic copper and brass. Analysis of surface geometry and its parameters (Ra, Sa) was used as criterion describing efficiency of chemical electropolishing. Results of the experiment allow for current parameter optimization of electrochemical polishing process for selected non-ferrous alloys with preliminary mechanical preparation of the surface.


2010 ◽  
Vol 39 ◽  
pp. 568-574
Author(s):  
Jun Fei Chen ◽  
Jian Qiao Lin

As a new economical development mode, “low-carbon economic” is attracting more and more attention all over the world. In this paper, associating with the development background of the low-carbon industry, we applied the uncertainty set pair analysis (SPA) into the investment decision-making of the listed company, and established the investment decision model based on the uncertainty SPA. As a case, we made investment decision analysis to 12 typical low-carbon industrial listed companies selected. The results show that it is effective and applicable, and the research is helpful for the investors conducting decision-making.


2019 ◽  
Vol 11 (1) ◽  
pp. 11-15
Author(s):  
Merfin Merfin ◽  
Raymond Sunardi Oetama

Stock investment is important for financial development in a company. Moreover, the stock price displayed by the company can be known by the people and the local economy because the company has gone public on the Indonesia Economic Exchange (IDX) at www.idx.co.id. There are several fundamental factors that influence the stock market price in a listed company and as a result the number of stock investors in Indonesia is very small. This cause made it difficult for the community to predict the stock price of banking companies at inconsistent prices. The method to be used in this paper is Linear Regression using Excel tools to perform calculations and SPSS 16.0 as a data mining tool. The research data taken is historical data of banking companies for 3 periods as a whole in the form of excel that has been downloaded from the Yahoo Finance website. The final results are in the form of MAPE charts in 3 years period, and Average error chart in 3 years period.


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