Algorithm For Quantitative Assessment Research Articles

A framework of credibility assessment for CFD software

This article presents a framework of credibility assessment for Computational Fluid Dynamics (CFD) software. In order to quantify the credibility of the computational results of CFD software, this work carried out the theoretical research on credibility assessment methodology, and built a framework which consists of two parts: indicator system and algorithm for quantitative assessment. The framework specified the general elements and processes of CFD software credibility assessment, proposed the principles for the design of assessment indicator system, and developed effective quantitative algorithm, which solved the key problems such as what to assessment and how to quantify the agreement between computational results and referenced data.

Quantitative and Semi-quantitative Methods for Assessing the Degree of Methylene Blue Staining in Sentinel Lymph Nodes in Dogs.

Background: To develop a digital algorithm for quantitative assessment of surface methylene blue staining in whole lymph nodes and validate a semi-quantitative visual scoring method for patient-side use.Methods: Lymph nodes from canine patients with spontaneous tumors undergoing sentinel lymph node mapping were prospectively assessed ex vivo and photographed. Using an open-source computer-based imaging software, an algorithm was developed for quantification of staining based on a signal-to-background ratio. Next, two blinded observers evaluated images and assigned a semi-quantitative visual score based on surface staining (0—no blue stain, 1−1–50% stained, and 2−51–100% stained) and those results were compared to the established quantitative standard.Results: Forty-three lymph nodes were included. Image analysis successfully quantified blue staining and differentiated from normal lymph node tissue in all cases. Agreement between observers using the Kappa coefficient demonstrated strong agreement (k = 0.8581, p < 0.0001) between semi-quantitative visual scoring and image analysis. There was substantial interobserver and intraobserver agreement for the scoring system (k = 0.7340, p < 0.0001 and k = 0.8983, p < 0.0001, respectively).Conclusion: A digital algorithm using an open-source software was simple and straightforward to use for quantification of blue staining. The use of a semi-quantitative visual scoring system shows promise for a simple, objective, repeatable assessment of methylene blue staining at the time of surgery. This study demonstrates reliable and repeatable methods for blue staining quantification thereby providing a novel and objective reporting mechanism in scientific research involving sentinel lymph node mapping.

Development experience of information system for ranking of academic and pedagogical staff

Purpose of research. The aim of this work is research of algorithms for quantitative assessment of intellectual potential (rating) of academic and pedagogical staff in higher educational institutions, as well as the development of technology for the application of these algorithms in practice.Materials and methods. According to the authors, the most appropriate method of assessing the diverse activities of the Faculty members is a technique based on the method of qualimetry – ranking objects in ascending or descending order based on the calculation of a certain set of features. This approach was embodied in the rules of rating of academic and pedagogical staff of Plekhanov Russian University of Economics. Due to the fact that the indicators can change annually the possibility of dynamic adjustment of indicators was provided in the project implementation. An important factor affecting design decisions is the need to process a large number of indicators in a limited time. At the same time, the preparation of data (their input and control, coordination) should be engaged in a large number of people who are employees of different departments, geographically distributed, in different subordination. In addition, it was necessary to take into account the possibility of new requirements for output forms. As a result, the concept of an automated rating system of Plekhanov Russian University of Economics was based on the following design decisions: dynamic setting of indicators and algorithms of ranking, the dynamic configuration of the personal account of the rated academic and pedagogical staff, external configuring of control parameters, the possibility of creating extensible libraries of output forms, the use of Internet technologies.Results. As a result of work the system of indicators of quantitative assessment, technology of their collecting and storage is prepared, and also the information system providing collecting, processing and display of the received results in an acceptable form on the basis of Internet technologies is realized. The technology of dynamic adjustment of the collected indicators, binding to the places of their formation, as well as setting the output forms has shown its effectiveness.Conclusion. Experience in the implementation of the rating system in Plekhanov Russian University of Economics showed that the independent automated assessment of the activity efficiency of officers allows to improve the mechanism of planning and personnel management system, allows to create model of stimulation of the types of activity influencing increase of the place of University in the Russian and international ratings, and also creates conditions for positive dynamics of growth of level of qualification of academic and pedagogical staff. At the same time, rating enables employees to identify areas for development and improvement, influence their earnings and receive competitive remuneration for their work. Implementation of rating system in Plekhanov Russian University of Economics proved the flexibility of the proposed approach, reduction of labor costs for data processing, full transparency of calculations, and, as a consequence, reduction of questions from the rated academic and pedagogical staff. In addition, the directions of technological development of the system are identified.

Automatic image analysis algorithm for quantitative assessment of breast cancer estrogen receptor status in immunocytochemistry

The paper presents an algorithm for quantification the degree of receptor expression to steroid hormones by automatic analysis of microscope images of immunocytochemical specimens. During experiments a high correlation between the results of the automatic analysis and visual expert assessment was shown and the possibility to apply the proposed algorithm to automate immunocytochemical analysis was confirmed.

Nondestructive Assessment of Anticorrosive Aluminium Coatings by Active Infrared Thermography

The thermal sprayed coating layers are commonly used in industrial applications aiming to protect certain heavy loaded components. Depending on the specific application, they may be used as thermal barriers for base materials protection, for increasing the wear resistance or corrosion resistance in aggressive environments. Due to the importance of each specific application, the nondestructive evaluation of these coating layers is a current demand. The paper presents a NDT technique for quality assessment of Anticorrosive Aluminium Coatings by non-contact Active Infrared Thermography (IRT). This NDT method allowed obtaining useful quantitative information on sub-superficial lack of adhesion flaws (size and position). The paper also presents a thermogram processing algorithm for quantitative assessment of components imperfections. This processing algorithm was designed and implemented using the JavaTM technology, based on the following modules: image enhancing, image pre-processing, histogram and flaw area evaluation. The functionality of each module is described and illustrated by examples consisting of both monochrome (grey) and colour thermographic image sets.

A Quantitative Assessment Approach to COTS Component Security

The vulnerability of software components hinders the development of component technology. An effective assessment approach to component security level can promote the development of component technology. Thus, the current paper proposes a quantitative assessment approach to COTS (commercial-off-the-shelf) component security. The steps of interface fault injection and the assessment framework are given based on the internal factors of the tested component. The quantitative assessment algorithm and formula of component security level are also presented. The experiment results show that the approach not only can detect component security vulnerabilities effectively but also quantitatively assess the component security level. The score of component security can be accurately calculated, which represents the security level of the tested component.

"One of my fears is that physically or mentally, the time will come where I'll be unable to drive anymore. and I'm not looking forward to that": a mixed methods feasibility study to assess older driver's risk impairment.

Sixty-seven older adults were assessed using multiple validated tools. The current study aimed to identify high-, medium-, and low-risk impairment among older drivers and to explore high-risk drivers' reactions to being told their results. Of 67 adults screened from a convenience sample of older drivers, nine high-risk participants, four completed in-depth follow-up qualitative interviews. The quantitative assessment algorithm identified 13% as high risk, 30% as medium risk, and 57% as low risk, and only Trails B distinguished the medium- and high-risk impairment groups. Although the assessment tests did not predict future crash involvement over a 7-month period, four participants in the medium- and high-risk impairment categories had been involved in a crash during the 5 years prior to the study compared with none of those who screened low risk. Only three participants (1 high risk) voluntarily surrendered their driver's licenses after the assessment, and one participant in the in-depth interviews reported that the assessment influenced the decision to stop driving. There may be some benefit in using driving record history and assessment results to determine driving risk impairment level. However, more research is needed to determine the best combination of tools to predict risk level. How to best communicate risk levels remains to be determined, although results from the older drivers in this study underscore the need for great sensitivity when identifying areas of concern about driving ability.