scholarly journals Market-based pricing for road freight transportation

2022 ◽  
pp. 94-102
Author(s):  
A. A. Aksentev
Keyword(s):  
Future Research ◽  
Regression Equations ◽  
Body Type ◽  
Market Pricing ◽  
Revenue Growth ◽  
Correlation And Regression Analysis ◽  
Road Freight ◽  
Road Freight Transportation ◽  
The Mathematical Model

The specifics of market pricing in the Russian road freight transport market by means of correlation and regression analysis have been studied. Statistically significant factors have been highlighted, and mathematical models have been constructed. The influence of fictitious variables (body type) that improve the quality of the calculated values has been noted. Regression equations useful for determining the average market value of tariffs have been drawn up, which, when compared to actual tariffs, may indicate the adequacy of freight transactions. The results of transport companies registered in the Krasnodar region have been considered. A differentiated approach has been justified, requiring enterprises to be divided into revenue growth groups in order to identify differences in profitability and its sustainability. The limitations and shortcomings of the mathematical model, which do not allow us to make an unambiguous conclusion about the unprofitable and low-margin nature of the industry, have been considered. Areas for future research have been suggested. 

scholarly journals Application of Artificial Intelligence in Prediction of Road Freight Transportation

2017 ◽  
Vol 29 (4) ◽  
pp. 363-370 ◽  
Author(s):  
Bogna Mrowczynska ◽  
Maria Ciesla ◽  
Aleksander Krol ◽  
Aleksander Sladkowski
Keyword(s):  
Artificial Intelligence ◽  
Historical Data ◽  
Percentage Error ◽  
Double Exponential ◽  
Road Freight ◽  
The Mean ◽  
Double Exponential Smoothing ◽  
Trucking Companies ◽  
Road Freight Transportation

Road freight transport often requires the prediction of volume. Such knowledge is necessary to capture trends in the industry and support decision making by large and small trucking companies. The aim of the presented work is to demonstrate that application of some artificial intelligence methods can improve the accuracy of the forecasts. The first method employed was double exponential smoothing. The modification of this method has been proposed. Not only the parameters but also the initial values were set in order to minimize the mean absolute percentage error (MAPE) using the artificial immune system. This change resulted in a marked improvement in the effects of minimization, and suggests that the variability of the initial value of S2 has an impact on this result. Then, the forecasting Bayesian networks method was applied. The Bayesian network approach is able to take into account not only the historical data concerning the volume of freight, but also the data related to the overall state of the national economy. This significantly improves the quality of forecasting. The application of this approach can also help in predicting the trend changes caused by overall state of economy, which is rather impossible when analysing only the historical data.

Public procurement quality assessment of a region: regression analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olga S. Belokrylova ◽  
Kirill A. Belokrylov ◽  
Sergey S. Tsygankov ◽  
Vadim A. Syropyatov ◽  
Elena D. Streltsova
Keyword(s):  
Mathematical Model ◽  
Regression Analysis ◽  
Public Procurement ◽  
Mathematical Apparatus ◽  
Content Type ◽  
Correlation And Regression Analysis ◽  
The Impact ◽  
The Mathematical Model ◽  
Functional Attribute

PurposeThe paper aims to present the results of a study aimed at constructing economic and mathematical models used in decision-making in the management of budget procurement of a region, contributing to the efficient use of budget funds. One of the key problems in this area is the assessment of the quality of procurementDesign/methodology/approachOne of the key problems in this area is the assessment of the quality of procurement, the solution of which requires the application of economic and mathematical methods, models, tools and algorithms built into information systems for supporting decision-making. The introduction of these systems brings to a qualitatively new level the system of relations between subjects of budget procurement. The paper analyzes modern publications on the implementation of public procurement and related issues of efficiency (savings) of budgetary funds.FindingsThe indicators on the basis of which the evaluation of the quality of regional procurement is determined are proposed. The architecture of the information system for decision support in the evaluation of procurement quality has been developed. The system has the property of adapting to changes in the state of the environment through the constant accumulation of statistical data characterizing the procurement and adjustment of the parameters of the mathematical model in accordance with them. A mathematical model is built into the control loop that allows ranking the indicators of budget purchases by the degree of their influence on the effective attribute. The role of a functional feature is the quality of budget procurement. The mathematical model is based on the application of the mathematical apparatus of correlation and regression analysis. The impact of each of the factor attributes on the functional attribute has been assessed.Originality/valueThe mathematical model is based on the application of the mathematical apparatus of correlation and regression analysis. The impact of each of the factor attributes on the functional attribute has been assessed. Real statistics are given that characterize budget procurements carried out in retrospect. The coefficients of the linear regression model are determined based on the use of the STATISTICA application software package. The proposed decision support information system with a regression model built into it allows one to make scientifically and quantitatively sound decisions when assessing the quality of budget purchases of a region.

Self-Compassion and Quality of Life in Adults Who Stutter

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd
Keyword(s):  
Quality Of Life ◽  
Social Connectedness ◽  
The Self ◽  
Future Research ◽  
Self Compassion ◽  
Adults Who Stutter ◽  
And Gender ◽  
Relationship Of ◽  
The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

The Relationship Between Interoception and Metacognition

2016 ◽  
Vol 30 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Judith Meessen ◽  
Verena Mainz ◽  
Siegfried Gauggel ◽  
Eftychia Volz-Sidiropoulou ◽  
Stefan Sütterlin ◽  
...  
Keyword(s):  
Memory Performance ◽  
Memory Task ◽  
Demographic Characteristics ◽  
Metacognitive Awareness ◽  
Interoceptive Awareness ◽  
Future Research ◽  
Heartbeat Perception ◽  
Interoceptive Accuracy ◽  
The Relationship

Abstract. Recently, Garfinkel and Critchley (2013) proposed to distinguish between three facets of interoception: interoceptive sensibility, interoceptive accuracy, and interoceptive awareness. This pilot study investigated how these facets interrelate to each other and whether interoceptive awareness is related to the metacognitive awareness of memory performance. A sample of 24 healthy students completed a heartbeat perception task (HPT) and a memory task. Judgments of confidence were requested for each task. Participants filled in questionnaires assessing interoceptive sensibility, depression, anxiety, and socio-demographic characteristics. The three facets of interoception were found to be uncorrelated and interoceptive awareness was not related to metacognitive awareness of memory performance. Whereas memory performance was significantly related to metamemory awareness, interoceptive accuracy (HPT) and interoceptive awareness were not correlated. Results suggest that future research on interoception should assess all facets of interoception in order to capture the multifaceted quality of the construct.

Assessments of User Comments With “Alternative Views” as a Function of Media Trust

2020 ◽  
pp. 1-12
Author(s):  
Marlene Kunst
Keyword(s):  
Online Discussions ◽  
Future Research ◽  
Political Issues ◽  
Argument Quality ◽  
The Public ◽  
Mainstream Media ◽  
User Comments ◽  
Media Trust ◽  
Heuristic Information Processing

Abstract. Comments sections under news articles have become popular spaces for audience members to oppose the mainstream media’s perspective on political issues by expressing alternative views. This kind of challenge to mainstream discourses is a necessary element of proper deliberation. However, due to heuristic information processing and the public concern about disinformation online, readers of comments sections may be inherently skeptical about user comments that counter the views of mainstream media. Consequently, commenters with alternative views may participate in discussions from a position of disadvantage because their contributions are scrutinized particularly critically. Nevertheless, this effect has hitherto not been empirically established. To address this gap, a multifactorial, between-subjects experimental study ( N = 166) was conducted that investigated how participants assess the credibility and argument quality of media-dissonant user comments relative to media-congruent user comments. The findings revealed that media-dissonant user comments are, indeed, disadvantaged in online discussions, as they are assessed as less credible and more poorly argued than media-congruent user comments. Moreover, the findings showed that the higher the participants’ level of media trust, the worse the assessment of media-dissonant user comments relative to media-congruent user comments. Normative implications and avenues for future research are discussed.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

Dietary Modifications in Fissure-in-ano: A Qualitative Study Based on Persian Medicine

2020 ◽  
Vol 16 (6) ◽  
pp. 860-865
Author(s):  
Sedigheh Tavakoli-Dastjerdi ◽  
Mandana Tavakkoli-Kakhki ◽  
Ali R. Derakhshan ◽  
Azam Teimouri ◽  
Malihe Motavasselian
Keyword(s):  
Modern Medicine ◽  
Integrative Approach ◽  
Future Research ◽  
Common Disease ◽  
Fissure In Ano ◽  
High Fiber ◽  
Baked Goods ◽  
Persian Medicine

Background: Anal fissure (AF) is a common disease associated with severe pain and reduced quality of life. Factors related to lifestyle, including diet and bowel habits, play a pivotal role in its pathogenesis. Most of the chronic fissures are not responsive to drugs and more likely to recur. Given the significance of diet in Persian medicine (PM), investigation on physiopathology and appropriate foods can be useful for decreases in AF symptoms and consequences. Objective: This study was intended to evaluate the role of diet in the formation and progression of AF from the perspective of PM. Methods: In this study, the most important resources of PM dating back to thousands of years were reviewed. All these textbooks contained a section on AF, its causes, and treatment. Further analysis was performed on these resources in comparison with databank and resources of modern medicine to develop a food-based strategy for AF management. Results: From the view of PM, the warmth and dryness of anus temperament accounted for AF. Both Persian and modern medicine identified constipation as another cause for AF. Therefore, avoidance from some foods and commercial baked goods was recommended. Both Persian and modern medicine forbad the following foods: potato, cabbage, cauliflower, pasta, beef, fish, and so forth. High fiber and oligo-antigen diets with some limitations have garnered more attention. Conclusion: An integrative approach is recommended employing both Persian and modern medicine for AF. There have been some evidence in this regard, however standardized clinical trials are required for future research.

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