scholarly journals The Methodological Recommendations for Improving the Management of Enterprise Competitiveness in the Service Sector

2021 ◽  
Vol 9 (524) ◽  
pp. 243-249
Author(s):  
S. M. Osypenko ◽  
◽  
T. V. Romanchyk ◽  
O. M. Tesnikov ◽  
I. O. Kuruch ◽  
...  
Keyword(s):  
Service Sector ◽  
Practical Implementation ◽  
Economic Management ◽  
Managerial Decisions ◽  
The Difference ◽  
The Competitiveness Of Enterprises ◽  
Analysis Determination ◽  
Selection Of ◽  
Integral Indicator

The relevance of the problem of managing the competitiveness of service sector enterprises in modern conditions of economic management is determined. In a contentual form, the task of managing the competitiveness of enterprises is formulated and a scheme of its implementation is proposed, which includes the following stages: formation of factors that determine competitiveness; substantiation of the competitiveness indicator and its model; computing the competitiveness indicator and its subsequent factor analysis; determination of reserves for growth of the competitiveness index; formation of the task of increasing competitiveness; formation of a list of measures for implementing the task; selection of measures for the implementation; implementation of measures, control and regulation. The procedure for computing the integral indicator of competitiveness, which includes groups of indicators that determine the state of the enterprise and the competitiveness of its products, as well as indicators within each group, is considered. The methodology of economic analysis of the level of competitiveness of the enterprise is proposed, which allows to conduct an overall assessment of its competitive position compared to competitors; determine the influence of factors on the difference in their position from the position of competitors; calculate the reserves of growth of the competitiveness indicator and develop measures for their implementation. In accordance with the competitive strategy of the enterprise and the task of increasing the competitiveness indicator on the basis of the use of the provisions of the theory of economic efficiency, a list of measures is substantiated, the practical implementation of which will allow to perform the task with a minimum amount of resources. Operational control over the implementation of measures and their impact on the competitiveness indicator is envisaged in order to make corrective managerial decisions in a timely manner.

scholarly journals A Robust Rerank Approach for Feature Selection and Its Application to Pooling-Based GWA Studies

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Jia-Rou Liu ◽  
Po-Hsiu Kuo ◽  
Hung Hung
Keyword(s):  
Characteristic Curve ◽  
Real Data ◽  
Tuning Parameter ◽  
Practical Implementation ◽  
Tuning Parameters ◽  
Genome Wide ◽  
Feature Based ◽  
The Difference ◽  
Gwa Studies ◽  
Selection Of

Large-p-small-ndatasets are commonly encountered in modern biomedical studies. To detect the difference between two groups, conventional methods would fail to apply due to the instability in estimating variances int-test and a high proportion of tied values in AUC (area under the receiver operating characteristic curve) estimates. The significance analysis of microarrays (SAM) may also not be satisfactory, since its performance is sensitive to the tuning parameter, and its selection is not straightforward. In this work, we propose a robust rerank approach to overcome the above-mentioned diffculties. In particular, we obtain a rank-based statistic for each feature based on the concept of “rank-over-variable.” Techniques of “random subset” and “rerank” are then iteratively applied to rank features, and the leading features will be selected for further studies. The proposed re-rank approach is especially applicable for large-p-small-ndatasets. Moreover, it is insensitive to the selection of tuning parameters, which is an appealing property for practical implementation. Simulation studies and real data analysis of pooling-based genome wide association (GWA) studies demonstrate the usefulness of our method.

scholarly journals Methodic tools to optimize marketing expenses of the innovatively active industrial enterprises in Ukraine

2016 ◽  
Vol 14 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Oleg Olefirenko
Keyword(s):  
Mathematic Model ◽  
Machine Building ◽  
Practical Implementation ◽  
Industrial Enterprises ◽  
Managerial Decisions ◽  
Production Distribution ◽  
Market Situation ◽  
The Given ◽  
Rational Process

The efficient sales policy of the machine building innovatively active enterprises is connected with its rational process financing. Optimal determination of innovative production distribution expenses is top-priority element to increase economic subject’s activity profitability and to increase its competitive positions at the market. Thus, planning of costs for innovatively active machine building enterprises sales has to be based on economic and rationally adaptive mathematic tools to industrial enterprises activity specific. Practical implementation of the mentioned task is possible owing to economic and mathematic model to plan costs for innovatively active enterprises production, which preconditions urgency of the given research. Besides the tools investigation is also urgent and it allows to foresee future expenses amounts for sales, demand for production and profit of the innovatively active industrial enterprise, behavior in future depending on market situation. The article deals with scientific and methodic approach to optimize distribution expenses of the innovatively active industrial enterprises in Ukraine. Economic and mathematic modeling methods allowed to formalize models to plan distribution expenses of innovatively active enterprise, demand and profits, that is prerequisite to form prognostications by proper directions. Practical implementation of the suggested scientific and methodic approach on the example of machine building enterprise in Ukraine results in confirmation of models correspondence and establishment of inefficiency to distinguish expenses. It gives evidence about necessity to optimize expenses of enterprise and to introduce active managerial decisions concerning its activity profitability growth

MEME: DAPATKAH MENINGKATKAN KEMAMPUAN SISWA DALAM MENULIS TEKS ANEKDOT?

2018 ◽  
Vol 2 (1) ◽  
pp. 105
Author(s):  
Fajar - Gumelar
Keyword(s):  
Project Based Learning ◽  
Student Centered ◽  
Student Centered Learning ◽  
Plan Selection ◽  
Productive Process ◽  
The Difference ◽  
Stage 1 ◽  
And Control ◽  
Selection Of

Writing anecdote text is a creative and productive process, meaning an ability that requires students to produce a product (writing) that aims to provide criticism/ satire accompanied by humor against an event that occurred. The fact that the ability to write anecdot text is still low, the difficulty in putting ideas and ideas into the main factor. The need for a model of learning with the use of media as a way to overcome these problems. Projects based learning assisted media meme are used based on literature review, which is a student-centered learning by applying the concept of the project (based on actual life that occurs) in order to solve the problem independently by using memes as a media that serves to clarify a message or content delivered. At the stage (1) the determination of fundamental questions about the events that occur (actual), (2) preparing the project plan (selection of data collection activities), (3) preparing a schedule (completion of activities), (4) monitoring project progress, (5) assessment of results, and (6) evaluation of experience (reflection of activities). This research aims to determine (a) the effectiveness of the model and (b) the effectiveness of the model in the experimental class (MIPA and IPS). The methodology used is a quasi experiment with 2 by 2 factorial research design. The results of research from data analysis, obtained (a) the difference in ability between the experimental class and control class students with N-gain experiments enter into medium category, while the N-gain controls enter into low category. (b) there is no difference ability in experimental class between MIPA and IPS class students. This shows that the model of Projects based learning assisted media meme effectively used in the class with the background of MIPA and IPS in SMA Negeri 15 Bandung. Keyword: writing anecdote text, project based learning, and media meme. 

scholarly journals Development and Validation for Simultaneous Estimation of Sofosbuvir and Daclatasvir Dihydrochloride in Pharmaceutical Dosage form by Ratio Derivative and Dual Wavelength Methods

2020 ◽  
Vol 11 (01) ◽  
pp. 25-31
Author(s):  
Sapna M. Rathod ◽  
Paresh U. Patel
Keyword(s):  
Dosage Form ◽  
Dual Wavelength ◽  
Simultaneous Estimation ◽  
Pharmaceutical Dosage Form ◽  
First Derivative ◽  
Absorbance Difference ◽  
The Difference ◽  
Development And Validation ◽  
Selection Of

Development and validation of new simple, sensitive, accurate and precise spectrophotometric method involving ratio derivative and dual-wavelength method, was done as per ICH Q2 (R1) for simultaneous estimation of Sofosbuvir (SOFO) and daclatasvir dihydrochloride (DACLA) in a combined dosage form. The overlapping in the spectra of both drugs was the reason for the selection of both methods. The absorbance difference (ΔA) value between 235.8 nm and 270.6 nm was selected for the quantitative determination of SOFO, where DACLA gives equal absorbance at the selected wavelength in the dual-wavelength method (Method A). The determination of DACLA is done quantitatively by measuring the difference in absorbance value at 249 nm and 268.6 nm where SOFO gives equal absorbance at a selected wavelength. Ratio spectra method (Method B) was based on dividing the spectra of a mixture with standard spectra of one of the analytes, and the first derivative spectra was recorded with Δλ = 8 nm and scaling factor 1. The amount of SOFO and DACLA was estimated in the binary mixtures by computing the first derivative signal at 247.0 nm and 341.0 nm, respectively. The calibration curve was linear in the concentration range of 10–90 μg/mL for SOFO and 4–20 μg/mL for DACLA for both the methods. The methods were successfully applied for the simultaneous determination of these drugs in combined dosage form with acceptable recoveries.

scholarly journals Prediction of test day milk yield by ac method in indigenous Balkan goats in Macedonia

2017 ◽  
Vol 33 (3) ◽  
pp. 299-308 ◽  
Author(s):  
Nikola Pacinovski ◽  
Vladimir Dzabirski ◽  
Georgi Dimov ◽  
Koco Porcu ◽  
Elena Eftimova ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Accurate Result ◽  
Alternative Method ◽  
The Difference ◽  
Daily Milk Yield ◽  
Selection Of ◽  
Daily Milk

Accurate and precise milk recording is one of the most important moments for a successful selection of milking goats. In this context, breeders are constantly making efforts to find the most suitable and cheapest methods for conducting of tests for milk production. The goal of this research was to compare the A4 method (as referent method) with AC method (as alternative method), for determination of milk production, on the day of recording of the indigenous Balkan goat, in the period of 2014-2016 with milking of goats in the morning and evening. It was determined that the difference between the predicted daily milk yield with one milking (in the morning or evening) and the measured milk yield using the A4 method is too low and almost negligible. With the analysis of all factors (year, lactation and number of milk tests), it was determined that the prediction of total daily milk yield, based on the evening milking, provides more accurate result, in relation to the prediction during morning milking, in cases when using the AC method.

Divergent selection for retrieving behavior in mice

1973 ◽  
Vol 51 (1) ◽  
pp. 21-26 ◽  
Author(s):  
J. F. Hurnik ◽  
E. D. Bailey ◽  
F. N. Jerome
Keyword(s):  
Linear Regression ◽  
Inbred Strains ◽  
Divergent Selection ◽  
Regression Functions ◽  
Regression Learning ◽  
The Mean ◽  
The Difference ◽  
Single Regression ◽  
Selection Of

To prove the involvement of genetic factors in retrieving activity, divergent selection was applied for five generations of mice. The mice originated from two highly inbred strains, SWR and C57Bl. In the parental generation, an equal number of reciprocal matings were made between the lines. The selection started in F2 generation. The selection of offspring in both directions was based on the mean performance of the mothers in six trials.Multivariance analysis showed positive response to the selection and confirmed a genetic contribution to the determination of retrieving activity. The estimate of realized heritability, adjusted for inbreeding effects, was lower in the group selected for fast retrieving (h2 = 0.26) and higher in the group selected for slow retrieving (h2 = 0.44). The difference between these coefficients was nonsignificant.In single regression functions on trials, only the linear regression was significant. The linear regression (learning rate) was more pronounced in the group selected for fast retrieving. Within groups, the regression on trials was similar during all five selected generations.

scholarly journals DEVELOPMENT OF A METHODOLOGY FOR ASSESSING THE MANUFACTURABILITY OF INDUSTRIAL PRODUCTS IN THE CONDITIONS OF PILOT PRODUCTION

2021 ◽  
Vol 31 (4) ◽  
pp. 597-602
Author(s):  
D.M. Malikova
Keyword(s):  
Product Design ◽  
Quantitative Assessment ◽  
Practical Significance ◽  
Technological Performance ◽  
Expert Selection ◽  
Technological Level ◽  
Optimal Set ◽  
Selection Of ◽  
Integral Indicator

The article is devoted to improving the reliability of a comprehensive quantitative assessment of the technological performance of the product design in the conditions of pilot production, taking into account the specific production and technological conditions of the enterprise by solving the problem of objective selection of technological performance indicators. To achieve this goal, the following tasks were solved: the indicators of the manufacturability of product designs, their quantitative assessment were studied; a mathematical model for the formation of design indicators of manufacturability was developed, the optimal set of indicators of manufacturability for a particular product was selected; a method for quantitative evaluation and expert selection of indicators of manufacturability by their weights was developed; an algorithm for determining the integral indicator of the product's manufacturability was developed; the developed algorithm for the integral evaluation of the product's manufacturability indicators was applied. The practical significance of the work lies in the approbation of the author's method of expert selection and the determination of the integral index of manufacturability. This indicator is one of the elements of improving the efficiency of the enterprise, especially in the conditions of pilot production. The method developed by the author makes it possible to more reliably assess the manufacturability of the product at the initial stages of design. A positive result was obtained by expert selection of indicators that take into account the design features and the technological level of the manufacturer. In addition, the proposed method made it possible to identify reserves for improving the manufacturability of the product design. The use of the author's methodology helps to reduce the time and costs associated with the development and production of a new product.

Analyte-restrained silver coating of gold nanostructures: An efficient strategy to advance multicolorimetric probes

2021 ◽  
Author(s):  
Amene Naseri ◽  
Forough Ghasemi
Keyword(s):  
Limit Of Detection ◽  
Direct Detection ◽  
Silver Coating ◽  
Silver Deposition ◽  
Deposition Mechanism ◽  
Sensing Applications ◽  
The Difference ◽  
Dark Blue ◽  
Selection Of

Abstract Visual detection based on gold nanorods (AuNRs) has gained tremendous attention in sensing applications owing to the potential for simple, inexpensive, instrument-free, and on-site detection. The proper selection of the mechanism involved in the interaction between the analyte and the nanostructure plays a significant role in designing a selective and multicolorimetric probe for visual purposes. A winning mechanism to develop multicolorimetric probes is the silver metalization of AuNRs. Herein, an unprecedented idea is presented to expand the variety of multicolorimetric sensors relying on the mechanism of silver deposition. We introduce the anti-silver deposition mechanism in which the analyte directly or indirectly restrains the silver coating of AuNRs. To ascertain the anti-silver deposition mechanism, we have exploited the proposed idea for the direct detection of nitrate. The presence of nitrate (as restrainer agent), which was firstly treated with ascorbic acid (as reducing agent), induced a decrease in the spectral blueshift of AuNRs along with diverse sharp color transitions from reddish-orange (blank) to maroon, wine, berry/purple, dark blue, teal, green, seafoam, and mint. The difference in the surface area of the probe’s spectra in the absent (Sₒ) and presence (S) of nitrate were linearly proportional to nitrate concentration in the range of 0.5 to 5.5 mmol L-1 and the limit of detection (LOD) was calculated to be 465 µmol L-1. Furthermore, the practicability of the multicolor probe was assessed by the determination of nitrate in complex environmental samples.

PERSONIFICATION OF STUDENTS INDEPENDENT WORK ON THE FORMATION OF THE ABILITY TO SOLVE COMPUTATIONAL PROBLEMS ON THE BASIS OF AUTOMATED TRAINING AND DIAGNOSTIC SYSTEM

2018 ◽  
pp. 26-32
Author(s):  
N. I. Pak ◽  
E. V. Asaulenko
Keyword(s):  
Diagnostic System ◽  
Educational Process ◽  
Box Model ◽  
Self Management ◽  
Practical Implementation ◽  
Learning Tools ◽  
Theoretical Rationale ◽  
E Learning ◽  
Independent Work ◽  
Selection Of

The relevance of the study under consideration is due to the need to increase the efficiency of students independent work in solving computational problems. A theoretical rationale is proposed and the practical implementation of an automated training and diagnostic system for the formation of skills to solve problems according to the “white box” model is described. The leading idea of the study is the construction of mental schemes for a given topic, which allow to visualize the dynamics of changes in the learner’s level of ability to solve computational problems. The methods of accounting for forgetting educational information and methods of personalized selection of tasks are substantiated. The site for self-management of user independent work is available at the link: http://msbx.ru. The materials of the article are of practical value for teachers who use e-learning tools in the educational process.

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