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Article
Publication date: 3 June 2024

Alireza Akbari and Mohammadtaghi Shahnazari

The primary objective of this research paper was to examine the objectivity of the preselected items evaluation (PIE) method, a prevalent translation scoring method deployed by…

Abstract

Purpose

The primary objective of this research paper was to examine the objectivity of the preselected items evaluation (PIE) method, a prevalent translation scoring method deployed by international institutions such as UAntwerpen, UGent and the University of Granada.

Design/methodology/approach

This research critically analyzed the scientific and theoretical bottlenecks associated with the PIE method, specifically focusing on its parameters, namely the p-value and d-index, in adherence to established statistical protocols. Proposed remedies to mitigate the identified bottlenecks and augment the efficacy of the method were grounded in practicality.

Findings

The paper provided an extensive overview of the PIE method, which served as the foundation for the subsequent analysis and discussions. This research presented potential avenues for refinement and contributed to the current debate on objective translation assessment by addressing the theoretical and practical challenges associated with the PIE method.

Research limitations/implications

Translation researchers, practitioners and international institutions seeking to enhance the accuracy and reliability of translation evaluation should consider the implications of this research’s findings.

Originality/value

Although several publications focused on the role of the PIE method in translation evaluation, no study(ies) is available to critically analyze the scientific and theoretical bottlenecks of this translation evaluation method.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 9 October 2019

Alireza Akbari

The purpose of this paper is to measure the degree of item difficulty in translation multiple-choice items in terms of 1-parameter logistic (1-PL) model of the item response…

Abstract

Purpose

The purpose of this paper is to measure the degree of item difficulty in translation multiple-choice items in terms of 1-parameter logistic (1-PL) model of the item response theory (IRT). Also, the paper proposes a hypothesis in which a participant who answers a translation test possesses some amount of translation competence which affects the end-result.

Design/methodology/approach

In total, 150 translation students from the Bachelor of Arts in Translation Studies from the three Iranian universities participated in this research paper. The translation participants were requested to answer the questions. The items were formulated in such a way that the question was stated in English and the four choices were written in Farsi. To interpret the obtained results, this research paper employed 1-PL and 2-parameter logistic (2-PL) models using Stata (2016). In addition, to demonstrate results in terms of 1-PL, item characteristic curves (a graphical representation showing the degree of difficulty of each item) was used.

Findings

Using Stata platform, the findings of this research paper showed that through the application of IRT, evaluators were able to calculate the difficulty degree of each items (1-PL) and correspondingly the translation competence (2-PL) of each participant.

Research limitations/implications

One of the limitations is the proportionately small number of translation participants at the Bachelor of Arts.

Originality/value

Although a few number of studies concentered on the role of translation competence, there did not exist any research focusing on translation competence empirically in higher education.

Details

Journal of Applied Research in Higher Education, vol. 12 no. 3
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 14 June 2024

Alireza Akbari and Mohsen Shahrokhi

The purpose of this research is to address the need for a robust system to accurately determine a cutoff score by using the Angoff method and leveraging the Rasch infit and outfit…

Abstract

Purpose

The purpose of this research is to address the need for a robust system to accurately determine a cutoff score by using the Angoff method and leveraging the Rasch infit and outfit statistics of item response theory by detecting and removing misfitting items in a test.

Design/methodology/approach

Researchers in educational evaluation support the use of grades as a complete measure to evaluate students’ overall academic performance. In higher education, determining cutoff scores is crucial for assessing academic progress and achievement. Higher education institutions worldwide set predefined minimal standards of success, sometimes referred to as cutoff thresholds. These thresholds serve as benchmarks for assessing performance quality and determining eligibility for academic credit or advancement.

Findings

The proposed approach combines the Angoff method with Rasch item fit statistics to precisely determine the cutoff score by excluding items that do not fit well (misfitting items) in a test. This methodology holds the potential to enhance the fairness and accuracy of grading practices, ensuring that assessments align with educational objectives and provide meaningful feedback to students.

Originality/value

The value of this research extends to various fields where cutoff scores are used for decision-making purposes. By using Rasch item fit statistics and the Angoff method, practitioners and researchers can enhance the quality and validity of their assessments.

Details

Quality Assurance in Education, vol. 32 no. 3
Type: Research Article
ISSN: 0968-4883

Keywords

Executive summary
Publication date: 16 January 2023

IRAN: UK sanctions will increase

Details

DOI: 10.1108/OXAN-ES275328

ISSN: 2633-304X

Keywords

Geographic
Topical
Executive summary
Publication date: 22 May 2023

IRAN: New security head faces border challenges

Details

DOI: 10.1108/OXAN-ES279215

ISSN: 2633-304X

Keywords

Geographic
Topical
Article
Publication date: 17 April 2019

Erfan Khodabandeh, Davood Toghraie, A. Chamkha, Ramin Mashayekhi, Omidali Akbari and Seyed Alireza Rozati

Increasing heat transfer rate in spiral heat exchangers is possible by using conventional methods such as increasing number of fluid passes and counter flowing. In addition, newer…

Abstract

Purpose

Increasing heat transfer rate in spiral heat exchangers is possible by using conventional methods such as increasing number of fluid passes and counter flowing. In addition, newer ideas such as using pillows as baffles in the path of cold and hot fluids and using nanofluids can increase heat transfer rate. The purpose of this study is to simulate turbulent flow and heat transfer of two-phase water-silver nanofluid with 0-6 Vol.% nanoparticle concentration in a 180° path of spiral heat exchanger with elliptic pillows.

Design/methodology/approach

In this simulation, the finite volume method and two-phase mixture model are used. The walls are subjected to constant heat flux of q″ = 150,000 Wm−2. The inlet fluid enters curves path of spiral heat exchanger with uniform temperature Tin = 300 K. After flowing past the pillows and traversing the curved route, the working fluid exchanges heat with hot walls and then exits from the section. In this study, the effect of radiation is disregarded because of low temperature range. Also, temperature jump and velocity slipping are disregarded. The effects of thermophoresis and turbulent diffusion on nanofluid heat transfer are disregarded. By using finite volume method and two-phase mixture model, simulations are performed.

Findings

The results show that the flow and heat transfer characteristics are dependent on the height of pillows, nanoparticle concentration and Reynolds number. Increasing Reynolds number, nanoparticle concentration and pillow height causes an increase in Nusselt number, pressure drop and pumping power.

Originality/value

Turbulent flow and heat transfer of two-phase water-silver nanofluid of 0-6 per cent volume fraction in a 180° path of spiral heat exchanger with elliptic pillows is simulated.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 4
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 24 October 2018

Hesam Bakhshi, Erfan Khodabandeh, Omidali Akbari, Davood Toghraie, Mohammad Joshaghani and Alireza Rahbari

In the present study, laminar steady flow of nanofluid through a trapezoidal channel is studied by using of finite volume method. The main aim of this paper is to study the effect…

Abstract

Purpose

In the present study, laminar steady flow of nanofluid through a trapezoidal channel is studied by using of finite volume method. The main aim of this paper is to study the effect of changes in geometric parameters, including internal and external dimensions on the behavior of heat transfer and fluid flow. For each parameter, an optimum ratio will be presented.

Design/methodology/approach

The results showed that in a channel cell, changing any geometric parameter may affect the temperature and flow field, even though the volume of the channel is kept constant. For a relatively small hydraulic diameter, microchannels with different angles have a similar dimensionless heat flux, while channels with bigger dimensions show various values of dimensionless heat flux. By increasing the angles of trapezoidal microchannels, dimensionless heat flux per unit of volume increases. As a result, the maximum and minimum heat transfer rate occurs in a trapezoidal microchannel with 75° and 30 internal’s, respectively. In the study of dimensionless heat flux rate with hydraulic diameter variations, an optimum hydraulic diameter (Dh) was observed in which the heat transfer rate per unit volume attains maximum value.

Findings

This optimum state is predicted to happen at a side angle of 75° and hydraulic diameter of 290 µm. In addition, in trapezoidal microchannel with higher aspect ratio, dimensionless heat flux rate is lower. Changing side angles of the channels and pressure drop have the same effect on pressure drop. For a constant pressure drop, if changing the side angles causes an increase in the rectangular area of the channel cross-section and the effect of the sides are not felt by the fluid, then the dimensionless heat flux will increase. By increasing the internal aspect ratio (t_2/t_3), the amount of t_3 decreases, and consequently, the conduction resistance of the hot surface decreases.

Originality/value

The effects of geometry of the microchannel, including internal and external dimensions on the behavior of heat transfer and fluid flow for pressure ranges between 2 and 8 kPa.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 29 no. 5
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 29 June 2022

Mahsa Kamalipoor, Morteza Akbari, Seyed Reza Hejazi and Alireza Nazarian

COVID-19 has affected most business activities, including technology-based business. The higher the business vulnerability rating, the greater the impacts. After identifying three…

Abstract

Purpose

COVID-19 has affected most business activities, including technology-based business. The higher the business vulnerability rating, the greater the impacts. After identifying three dimensions of vulnerability (exposure, business sensitivity and response capacity), this study aims to determine the potential components and indicators of the vulnerability of technology-based businesses.

Design/methodology/approach

Using the indicator approach, a comprehensive vulnerability model was developed for assessing the vulnerability of the technology-based business against COVID-19.

Findings

In this study, COVID-19, as a biological threat and an exogenous shock, was considered the exposure dimension. Business characteristics, job characteristics, business owner-manager demographics, product and supplier characteristics were identified as the sensitivity dimension, while resources, human capital, technological capitals, social capitals, institutional capitals, infrastructures, management capacity and supply chain capabilities were defined as the adaptive business capability or response capacity. To determine vulnerability and response capacity against exogenous shocks and a pandemic crisis, the framework can act as a useful checklist for managers and owners of technology-based businesses.

Originality/value

Research on the COVID-19, especially in the technology-based business, is still at the emergent stage. This study is a pioneering effort to review the literature on business vulnerability and provide a framework to reduce business vulnerability using the indicator-based approach.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 5
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 9 August 2022

Behnam (Abdolreza) Oboudi, Alireza Elahi, Hossein Akbari Yazdi and Do Young Pyun

In recent years, neurophysiological tools have been vastly applied in sport marketing research. Eye tracking, a pervasive sensor technology, has received a growing interest to…

Abstract

Purpose

In recent years, neurophysiological tools have been vastly applied in sport marketing research. Eye tracking, a pervasive sensor technology, has received a growing interest to examine the effects of advertising through sport on viewer attention. While there is a plethora of evidence in advertising that supports the positive effects of various advertising types and locations on viewer attention in various sport contexts, little is known about the role of a prosocial overlay ad on viewer attention when watching televised football matches. Therefore, this research aims to examine the differences in viewers' attention (i.e. fixation and duration) with regard to game attractiveness and colors of the prosocial message during televised football matches.

Design/methodology/approach

To identify the research gap, the authors first reviewed the relevant sport marketing and neuroscience research on advertising effectiveness. The authors selected a prosocial message displayed. Adopting an experimental research design and using eye tracking, this study examined the impacts of game attractiveness and colors of message on viewer attention to the prosocial message displayed on an overlay advertisement during a football match.

Findings

The authors found that the colors of prosocial messages and game attractiveness had significant effects on viewer attention to the prosocial message.

Originality/value

In this study, the authors sought to add advertisement color, as well as game attractiveness, to the extant knowledge in marketing literature as effective advertising factors in capturing viewers' attention. These variables can offer marketers new insights in designing effective advertisements for the context of televised sports events in a specialized field.

Details

Sport, Business and Management: An International Journal, vol. 13 no. 2
Type: Research Article
ISSN: 2042-678X

Keywords

Article
Publication date: 20 December 2022

Biyanka Ekanayake, Alireza Ahmadian Fard Fini, Johnny Kwok Wai Wong and Peter Smith

Recognising the as-built state of construction elements is crucial for construction progress monitoring. Construction scholars have used computer vision-based algorithms to…

Abstract

Purpose

Recognising the as-built state of construction elements is crucial for construction progress monitoring. Construction scholars have used computer vision-based algorithms to automate this process. Robust object recognition from indoor site images has been inhibited by technical challenges related to indoor objects, lighting conditions and camera positioning. Compared with traditional machine learning algorithms, one-stage detector deep learning (DL) algorithms can prioritise the inference speed, enable real-time accurate object detection and classification. This study aims to present a DL-based approach to facilitate the as-built state recognition of indoor construction works.

Design/methodology/approach

The one-stage DL-based approach was built upon YOLO version 4 (YOLOv4) algorithm using transfer learning with few hyperparameters customised and trained in the Google Colab virtual machine. The process of framing, insulation and drywall installation of indoor partitions was selected as the as-built scenario. For training, images were captured from two indoor sites with publicly available online images.

Findings

The DL model reported a best-trained weight with a mean average precision of 92% and an average loss of 0.83. Compared to previous studies, the automation level of this study is high due to the use of fixed time-lapse cameras for data collection and zero manual intervention from the pre-processing algorithms to enhance visual quality of indoor images.

Originality/value

This study extends the application of DL models for recognising as-built state of indoor construction works upon providing training images. Presenting a workflow on training DL models in a virtual machine platform by reducing the computational complexities associated with DL models is also materialised.

Details

Construction Innovation , vol. 24 no. 4
Type: Research Article
ISSN: 1471-4175

Keywords

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