Probabilistic assessment method of the non-monotonic dose-responses-Part I: Methodological approach

2017 ◽  
Vol 106 ◽  
pp. 376-385 ◽  
Author(s):  
Grégoire Chevillotte ◽  
Audrey Bernard ◽  
Clémence Varret ◽  
Pascal Ballet ◽  
Laurent Bodin ◽  
...  
2017 ◽  
Vol 110 ◽  
pp. 214-228 ◽  
Author(s):  
Grégoire Chevillotte ◽  
Audrey Bernard ◽  
Clémence Varret ◽  
Pascal Ballet ◽  
Laurent Bodin ◽  
...  

2020 ◽  
Vol 26 (3) ◽  
pp. 508-526
Author(s):  
O.T. Astanakulov ◽  
E.G. Sheina

Subject. This article explores the economic relations of economic entities concerning effective investment activities, combining elements of investment control and assessment of related risk. Objectives. The article aims to analyze and logically substantiate the stages and types of investment activities of enterprises and investment projects in-progress, as well as define a methodological approach to assessing project risks. Methods. For the study, we used a structural and logical analysis, and deductive reasoning. The methodological base of the study is based on the principles of the theory of finance, investment and risk management. Results. The article defines stages of assessing the financial condition of enterprises and proposes a methodological approach to assessing certain risks of an investment project based on the risk ranking by degree of probability and significance of an event through applying the expert assessment method. The article also presents a practice-oriented risk map for investment projects and clarifies the concept of Investment Control. Conclusions. The results of the study can help address the significant for the Russian economy issue of stimulating and developing investment activities at enterprises, as well as implementing and evaluating the effectiveness of investment projects at the micro-and macro-levels of the country's economy.


Author(s):  
Guangli Zhang ◽  
Jinheng Luo ◽  
Xinwei Zhao ◽  
Hua Zhang ◽  
Liang Zhang ◽  
...  

2021 ◽  
Vol 29 (6) ◽  
pp. 40-49
Author(s):  
T. Yu. Eremina ◽  
D. A. Korolchenko ◽  
F. A. Portnov

Introduction. Interdisciplinary research is a most relevant issue in science and education. The integration of intellectual resources with research and production infrastructure is acknowledged as the main goal of interdisciplinary research in the international practice. The main (analytical) part. The authors propose the following methodological approach to the study, based on the distribution of interdisciplinary methods into groups by the scale of the research subject (material). In this case, the studies have the following levels: microlevel, supramolecular level, material research, design research. The paper presents research methods used at each of these levels. The co-authors propose to optimize the study of performance characteristics of building materials and fire retardants through the use of a compatibility chart with regard for the study levels and the analysis of methods of experimental research at each level. Using a compatibility chart. The methodology of the study. A research into the fire retardant efficiency of esters of phosphoric acid, used to modify wood, was selected as a practical example for compatibility diagrams. The project encompasses a number of methods applicable to compatibility charts: the method of elemental analysis, the Gibbs energy assessment method, the sample surface assessment method, the electron microscopy method, methods of assessing fire-hazardous characteristics of wood, the water sorption method, strength and biosecurity assessment methods. Conclusions. The co-authors first proposed an algorithm for generalizing the empirical data on mechanochemical characteristics of materials using interdisciplinary methods in the form of a compatibility chart. This methodology optimizes research into any composite materials though it preserves targeted research methods and eliminates impractical and concomitant experimental studies, thus, reducing labour costs and environmental impacts.


2015 ◽  
Vol 757 ◽  
pp. 159-163
Author(s):  
Ying Juan Yue ◽  
Fei Chen ◽  
Hong Li ◽  
Hai Xia Du ◽  
Xiao Jun Du

Based on the shortcomings of traditional probabilistic assessment methods, an improved probabilistic safety assessment method was proposed, which used Latin hypercube sampling, considered the change process about fatigue crack propagation, as well as the effect of random variables on the failure assessment curve. The paper also analyzed the specific example with this method. The results showed that this method was simpler and more effective, which had some value of applications in engineering.


2006 ◽  
Vol 16 (1) ◽  
pp. 1-17
Author(s):  
Norio KODANI ◽  
Yusuke HIRAI ◽  
Tomohiro TSUNEMI ◽  
Masaaki TAKAKU ◽  
Hisashi MATSUZAKI ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria Molinos-Senante ◽  
Alexandros Maziotis ◽  
Ramon Sala-Garrido

PurposeThe purpose of this paper is to estimate and compare the efficiency of several water utilities using three frontier techniques. Moreover, this study estimates the impact of several qualities of service variables on water utilities’ performance.Design/methodology/approachThe paper utilizes three frontier techniques such as data envelopment analysis (DEA), stochastic frontier analysis (SFA) and stochastic non-parametric envelopment of data (StoNED) to estimate efficiency scores.FindingsEfficiency scores for each methodological approach were different being on average, 0.745, 0.857 and 0.933 for SFA, DEA and StoNED methods, respectively. Moreover, it was evidenced that water leakage had a statistically significant impact on water utilities’ costs.Research limitations/implicationsThe choice of an adequate and robust method for benchmarking the efficiency of water utilities is very relevant for water regulators because it affects decision making process such as water tariffs and design incentives to improve the performance and quality of service of water utilities.Originality/valueThis paper evaluates and compares the performance of a sample of water utilities using three different frontier methods. It has been revealed that the choice of the efficiency assessment method matters. Unlike SFA and DEA, a lower variability was shown in the efficiency scores obtained from the StoNED method.


2018 ◽  
Vol 6 (3) ◽  
pp. 74 ◽  
Author(s):  
Juan Aguilar-López ◽  
Jord Warmink ◽  
Anouk Bomers ◽  
Ralph Schielen ◽  
Suzanne Hulscher

2021 ◽  
Vol 13 (6) ◽  
pp. 3472
Author(s):  
Shahin Ghaziani ◽  
Delaram Ghodsi ◽  
Gholamreza Dehbozorgi ◽  
Shiva Faghih ◽  
Yeganeh Rajabpour Ranjbar ◽  
...  

Among the common methods of quantifying household food waste, direct measurement is regarded as infeasible due to its prohibitive costs, and self-assessment methods tend to underestimate the actual values. This paper aims to propose a methodological approach to reach a compromise between feasibility and accuracy. Bread was studied, since it is a relatable example. The self-assessment method was used to survey 419 households in Shiraz, Iran, during 2019 to estimate household bread waste (BW) and to identify waste-causing consumption recipes (WCCR). These WCCRs were replicated in the lab, and the resulting BW was measured. The underestimation in the self-assessment method was revealed by comparing the survey results with the lab measurements. The underestimation ratio (UR) ranged between 1.24 and 1.80. The pattern of difference between these four bread types was similar among the survey and lab data. In conclusion, the lab measurements may estimate BW caused by the WCCRs more accurately. This suggests that URs can be applied to correct the underestimation in self-assessment surveys. Such an approach could provide the basis for further research on the development of cost-effective methods to quantify waste across a variety of food commodities.


2019 ◽  
Vol 11 (12) ◽  
pp. 3383
Author(s):  
Pedro Gimenez-Escalante ◽  
Shahin Rahimifard

Food processing technology research and development activities have historically been driven by large-scale manufacture upscaling drivers to profit from economies of scale. Increasing demand for high-quality food with pioneering texture profiles, consumer needs for personalised products impacting product formulation (i.e., fat, sugar and micronutrient content), and constrained availability of ingredients and resources are pressuring industrialists to utilise alternative technologies to enable a more sustainable food supply. Distributed and localised food manufacturing (DLM) has been identified as a promising strategy towards future sustainable systems with technology representing one of its cornerstones. Innovative methods and tools to support the selection of the best alternative technologies for DLM are required. This paper provides an overview of food processing technologies and includes a novel classification created to support future assessments. A novel qualitative assessment method encompassing multiple criteria to understand specific food technologies suitability for future DLM systems is presented. Finally, research benefits are explored through the application of the assessment method to several selected technologies with promising potential in future food manufacturing. The results demonstrate that this methodological approach can assist in the adoption of DLM food systems through the selection of the best technologies integrating individual manufacturer requirements.


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