scholarly journals An Analysis on the Economic Effects of the Medical and Measuring Instrument Industry

2012 ◽  
Vol 6 (3) ◽  
pp. 219-229 ◽  
Author(s):  
Jeong-Kyo Suh
Keyword(s):  
Economic Effects ◽  
Measuring Instrument

The Software «MMI–calibration 3.0»

Metrologiya ◽  
2020 ◽  
pp. 16-24
Author(s):  
Alexandr D. Chikmarev
Keyword(s):  
Power Series ◽  
Data Processing ◽  
Statistical Treatment ◽  
Correction Function ◽  
Calibration Function ◽  
Measuring Instrument ◽  
Working Standard ◽  
Calibration Protocol ◽  
Error Probabilities ◽  
Continuous Power

A single program has been developed to ensure that the final result of the data processing of the measurement calibration protocol is obtained under normal conditions. The calibration result contains a calibration function or a correction function in the form of a continuous sedate series and a calibration chart based on typical additive error probabilities. Solved the problem of the statistical treatment of the calibration protocol measuring in normal conditions within a single program “MMI–calibration 3.0” that includes identification of the calibration function in a continuous power series of indications of a measuring instrument and chart calibration. An example of solving the problem of calibration of the thermometer by the working standard of the 3rd grade with the help of the “MMI-calibration 3.0” program.

Analysis of significant measures for thermal conductivity

2020 ◽  
pp. 35-42
Author(s):  
Yuri P. Zarichnyak ◽  
Vyacheslav P. Khodunkov
Keyword(s):  
Thermal Conductivity ◽  
Heat Flux ◽  
Surface Heat Flux ◽  
Heat Flux Density ◽  
Measurement Method ◽  
Conductivity Measurement ◽  
Surface Heat ◽  
Measuring Instrument ◽  
New Class ◽  
Achievable Accuracy

The analysis of a new class of measuring instrument for heat quantities based on the use of multi-valued measures of heat conductivity of solids. For example, measuring thermal conductivity of solids shown the fallacy of the proposed approach and the illegality of the use of the principle of ambiguity to intensive thermal quantities. As a proof of the error of the approach, the relations for the thermal conductivities of the component elements of a heat pump that implements a multi-valued measure of thermal conductivity are given, and the limiting cases are considered. In two ways, it is established that the thermal conductivity of the specified measure does not depend on the value of the supplied heat flow. It is shown that the declared accuracy of the thermal conductivity measurement method does not correspond to the actual achievable accuracy values and the standard for the unit of surface heat flux density GET 172-2016. The estimation of the currently achievable accuracy of measuring the thermal conductivity of solids is given. The directions of further research and possible solutions to the problem are given.

PENGARUH INPUT PROSES RELATIONSHIP MARKETING TERHADAP OUTPUT PROSES RELATIONSHIP MARKETING

2019 ◽  
Vol 27 (2) ◽  
pp. 190-206
Author(s):  
Surawan Setya Budi S
Keyword(s):  
Relationship Marketing ◽  
Research Use ◽  
Measuring Instrument ◽  
Total Quality ◽  
Input Process ◽  
Customer Expectations ◽  
Simultaneous Test ◽  
Marketing Process ◽  
Process Understanding ◽  
The Relationship

This research use relationship marketing teory which applied 4 factor of input process understanding customer expectations, building service partnerships, empowiring employers, and total quality management, and output relationship marketing process: customer satisfaction and customer layalty. The objective of this research is to find out wich factors of input process that has more impact on the output process in relationship marketing. There are 60 trusted correspondencea from Grand Inna Malioboro Hotel customer whom at least have been stayed at the hotel three times. The method of collecting data in these research use questioners and Likert scale measuring instrument 5 points that will be tested by the instrument and analyzed by using regressision analysi the simultaneous test of variabel for the relationship marketing input s. The result of the instrument shows the items used are valid and reliable. It displays the outpout process passed the assumtions test, while the signifikacant relationship marketingto the output of relationtionship marketing, For the passive test of vareable input process relationship marketing with the ouput process relationship marketing shows all significant variables unless vareabel understands customer expectations does not have a significant effect on the process of output relationship marketing

Eurasian Economic union: Prospects and challenges for Development

2015 ◽  
pp. 87-108 ◽  
Author(s):  
A. Knobel
Keyword(s):  
Oil And Gas ◽  
Economic Effects ◽  
Necessary Condition ◽  
Gas Transfer ◽  
Eurasian Economic Union ◽  
Economic Union ◽  
Food Imports ◽  
Cis Countries ◽  
Integration Problems ◽  
Integration Challenge

The paper is devoted to the analysis of development prospects and problems of Eurasian Economic Union (EAEU) of Russia, Kazakhstan, Belarus and Armenia. It considers integration problems inside EAEU, interactions of EAEU with other CIS countries and with countries from the rest of the world. The paper shows that the major integration challenge inside EAEU is the domination of the redistributive motive over the creative one. It estimates the value of the oil and gas transfer from Russia to other EAEU members and the influence of the Russian tax maneuver on this transfer. The paper shows the need in redistribution mechanism inside EAEU as a necessary condition for getting the potential positive economic effects of free trade with other countries. It also assesses the risks for EAEU due to Russian embargo for food imports from countries of the sanctions list and possible application of tariff in the trade with Ukraine.

Economic effects of monetary policy in Russia: What do large datasets tell us?

2020 ◽  
pp. 31-53 ◽  
Author(s):  
Anna A. Pestova ◽  
Natalia A. Rostova
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Economic Activity ◽  
Global Financial Crisis ◽  
Exchange Rate Regime ◽  
Aggregate Demand ◽  
Economic Effects ◽  
Theoretical Concepts ◽  
Empirical Estimates

Is the Bank of Russia able to control inflation and, at the same time, manage aggregate demand using its interest rate instruments? In other words, are empirical estimates of the effects of monetary policy in Russia consistent with the theoretical concepts and experience of advanced economies? This paper is aimed at addressing these issues. Unlike previous research, we employ “big data” — a large dataset of macroeconomic and financial data — to estimate the effects of monetary policy in Russia. We focus exclusively on the period after the 2008—2009 global financial crisis when the Bank of Russia announced the abandoning of its fixed ruble exchange rate regime and started to gradually transit to an interest rate management. Our estimation results do not confirm standard responses of key economic activity and price variables to tightening of monetary policy. Specifically, our estimates do not reveal a statistically significant restraining effect of the Bank of Russia’s policy of high interest rates on inflation in recent years. At the same time, we find a significant deteriorating effect of the monetary tightening on economic activity indicators: according to our conservative estimates, each of the key rate increases occurred in March and December 2014 had led to a decrease in the industrial production index by about 0.2 percentage points within a year.

Economic Effects of 2004-2009 Tax Reforms: Retrospective Analysis

2012 ◽  
pp. 108-123
Author(s):  
E. Penukhina ◽  
D. Belousov ◽  
K. Mikhailenko
Keyword(s):  
Retrospective Analysis ◽  
Tax Policy ◽  
Economic Effects ◽  
Tax Policies ◽  
Policy Changes ◽  
Tax Reforms ◽  
Russian Economy ◽  
Balanced Budget ◽  
Budget System

The article determines, describes and analyzes phases of tax reforms in Russia. We estimate macroeconomic and fiscal effects of various tax policies held during the second and third phases of tax reforms. The necessity of providing a balanced budget system, as well as complex assessment of effects of tax policy changes for the development of the Russian economy is noted.

Socio-economic effects of labor migration from small towns of Russia

2016 ◽  
pp. 103-123 ◽  
Author(s):  
N. Mkrtchyan ◽  
Y. Florinskaya
Keyword(s):  
Migrant Workers ◽  
Labor Migration ◽  
Small Towns ◽  
Economic Benefits ◽  
Economic Effects ◽  
Spatial Mobility ◽  
Positive Effects ◽  
High Labor ◽  
Standardized Interview

The article examines labor migration from small Russian towns: prevalence of the phenomenon, the direction and duration of trips, spheres of employment and earnings of migrants, social and economic benefits of migration for households. The representative surveys of households and migrant-workers by a standardized interview were conducted in four selected towns. Authors draw a conclusion about high labor spatial mobility of the population of small towns and existence of positive effects for migrant’s households and the economy of towns themselves.

Management Measurement Scale As A Reference To Determine Interval In A Variable

2018 ◽  
Vol 2 (1) ◽  
pp. 45-54
Author(s):  
Qurotul Aini ◽  
Siti Ria Zuliana ◽  
Nuke Puji Lestari Santoso
Keyword(s):  
Information Technology ◽  
Quantitative Data ◽  
Rating Scale ◽  
Semantic Differential ◽  
Short Length ◽  
Measurement Scale ◽  
Measuring Instrument ◽  
Guttman Scale ◽  
Measurement Scales ◽  
Thurstone Scale

The scale is usually used to check and determine the value of a qualitative factor in quantitative measures. The measurement scale is a management in agreement that is used as a reference to determine the short length of the interval that is in the measuring instrument, so that the measuring instrument when used in measurements will produce quantitative data. The results of the scale management calculation must be interpreted carefully because in addition to producing a rough picture, the respondent's answers are not just straightforward to be trusted. Types of measurement scales: Likert scale, Guttman scale, semantic differential scale, rating scale, Thurstone scale, Borgadus scale, and various other measurement management scales. One of the most difficult jobs for information technology researchers faced with the necessity of measuring variables is: finding directions in the midst of many existing sizes. If there is a good size for a particular variable, it seems that there are not many reasons to compile a new size yourself. Keywords: Scale, Measurement, Variables.

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