199 research outputs found
Dataset for 'Effect of damping on performance of magnetostrictive vibration energy harvester'.
No full textSupporting Matlab M file - Code for modelling of Energy Harvester Access is currently subject to embargo (09/07/23). For more information please contact the corresponding author, Mojtaba Ghodsi
Corrigendum: Confirmatory factor analysis and gender invariance of the Persian version of psychological control scale: association with internalizing and externalizing behavior problems (Frontiers in Psychology, (2023), 14, (1128264), 10.3389/fpsyg.2023.1128264)
No full textCopyright © 2024 Habibi Asgarabad, Salehi Yegaei, Mokhtari, Izalnoo and Trejos-Castillo. cc-byIn the published article, there was an error in the correspondence details. As well as Pardis Salehi Yegaei, Mojtaba Habibi Asgarabad should also be listed as a corresponding author. The complete correspondence details are shown below: *Correspondence: Pardis Salehi Yegaei Mojtaba Habibi Asgarabad The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated
ORIGINAL ARTICLE Strategic Stakeholder Modelofthe Banking System, Mining: Bank SARMAYE Mojtaba Mali; Strategic Stakeholder Modelofthe Banking System, Mining: Bank SARMAYE
No full textABSTRACT Effective organization is an organization meet requires of its environmental components that continuity of organization survival requires to their supports. The Stakeholders analyze is important because it can be have an effective and influential role in the strategic management process of organization. The research problem is the major benefits conflict of the banks strategic stakeholders. The aim of this study is application and its method is descriptive -analytic. The statistical community for the Strategic stakeholders' research is Bank Sarmayeh Iran
How Do Experts Think? An Investigation of the Barriers to Internationalisation of SMEs in Iran
No full textNowadays, “internationalisation” is a topic of concern for many types of research on small and medium-sized enterprises (SMEs). SMEs pursue internationalization policy as a leading process to keep and improve their position in the competitive business markets. However, SMEs face many challenges that hinder the successful implementation of the internationalization process. This chapter aims to recognise the important barriers to internationalisation for Iranian SMEs. We conduct two studies using a combined exploratory and confirmatory approach. We apply the Delphi method for exploring and forecasting the key barriers in the first study. In the second study, we validate the key indicator employing a Structural Equation Modelling technique for the Confirmatory Factor Analysis of the survey data. In the Delphi method, a group of 24 managers and academic professors in Iran, identified the main barriers. A sample of 210 survey observations was collected from the owner and top managers, senior managers, and employees. The results suggest 8 key factors and 31 indicators of barriers to internationalisation associated with Iranian SMEs: informational, financial, marketing, functional, procedural, governmental, environmental and, tariff and non-tariff. This research contributes to the knowledge of critical obstacles concern for current and future business internationalisation, and the outcomes provide practical implications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
No full textIn software testing domain, different techniques and approaches are used to support the process of regression testing in an effective way. The main approaches include test case minimization, test case selection, and test case prioritization. Test case prioritization techniques improve the performance of regression testing by arranging test cases in such a way that maximize fault detection could be achieved in a shorter time. However, the problems for web testing are the timing for executing test cases and the number of fault detected. The aim of this study is to increase the effectiveness of test case prioritization by proposing an approach that could detect faults earlier at a shorter execution time. This research proposed an approach comprising two models: Hybrid Static Criteria Model (HSCM) and Dynamic Weighting Static Criteria Model (DWSCM). Each model applied three criteria: most common HTTP requests in pages, length of HTTP request chains, and dependency of HTTP requests. These criteria are used to prioritize test cases for web application regression testing. The proposed HSCM utilized clustering technique to group test cases. A hybridized technique was proposed to prioritize test cases by relying on assigned test case priorities from the combination of aforementioned criteria. A dynamic weighting scheme of criteria for prioritizing test cases was used to increase fault detection rate. The findings revealed that, the models comprising enhanced of Average Percentage Fault Detection (APFD), yielded the highest APFD of 98% in DWSCM and 87% in HSCM, which have led to improve effectiveness prioritization models. The findings confirmed the ability of the proposed techniques in improving web application regression testing
Uncertainty quantification for pavement life-cycle stages
No full textLife-cycle assessment (LCA), a common sustainability metric, is usually adopted to quantify the environmental consequences of a product. It has been shown that rolling resistance (RR), a major component of pavement LCA use stage, has significant impact on transportation-related energy consumption. Pavement related RR mainly includes pavement structure, surface roughness (or smoothness) and texture. This research aims at addressing current challenges in pavement LCA use stage. A robust framework is proposed to evaluate RR via developing models for pavement roughness- and structural-induced RR.
A roughness–speed impact (RSI) model was developed to quantify the energy and environmental impacts due to RR. The model uses vehicle-specific power as part of the pavement–vehicle interaction (PVI) analysis. According to the model, one unit change of IRI (1 m/km) results in 3% and 2% fuel consumption, respectively, at high and low speeds (105 and 56 km/h) for passenger cars.
In addition to the RSI model, the study proposes a practical approach to assess the vehicle excess fuel consumption (EFC) due to pavement deflection. The developed relationship relies on the fundamental energy-deformation principles obtained by conducting nonlinear regression analysis on 3-D finite element (FE) simulations. The proposed model is formulated using a quadratic form of maximum pavement deflection. Factors affect EFC includes, truck loading and speed and pavement temperature. It was found that the estimated EFC for a heavy truck could be as low as 0.03% for a half loaded truck at a temperature of 0 °C a speed of 115 km/h and as high as 6.5% for a fully loaded truck at a temperature of 40 °C and a speed of 8 km/h. This could be increased for low volume road pavement structure. At a speed of 100 km/h, a typical HS20-44 truck could consume an additional 0.5% fuel due to structural rolling resistance (SRR).
Uncertainty of pavement roughness has significant impact on the energy and emission output of the pavement-vehicle system depending on the precision level of the model used, input variabilities, and prior knowledge of the model parameters. When quantified uncertainties, successfully utilized in this study, are implemented, LCA parameters prediction would be improved.
The introduced RR models may be used as part of the decision-making for short-term energy and emission reduction policies.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Mojtaba Ziyadi, accepted the attached license on 2017-12-05 at 10:01.The student, Mojtaba Ziyadi, submitted this Dissertation for approval on 2017-12-05 at 10:10.This Dissertation was approved for publication on 2017-12-05 at 17:05.DSpace SAF Submission Ingestion Package generated from Vireo submission #11853 on 2018-03-13 at 09:56:49Made available in DSpace on 2018-03-13T15:25:25Z (GMT). No. of bitstreams: 3
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Previous issue date: 2017-12-05Embargo set by: Seth Robbins for item 105194
Lift date: 2020-03-13T15:25:40Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105194
Lift date: 2020-03-13T15:28:52Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105194 on 2020-03-14T09:15:19Z
Prevalence and antibiotic resistance pattern of bacteria isolated from urinary tract infections in Northern Iran
No full textBackground: This study aimed to investigate the bacteria associated with urinary tract infection (UTI) and antibiotic susceptibility pattern of the isolates during 2013–2015 in Northern Iran. Materials and Methods: Overall 3798 patients with clinical symptoms of UTI were subjected as samples, and they were cultured and pure isolated bacteria were identified using biochemical tests and subjected to antibiogram assessment using disc diffusion method. Results: Totally, 568 (14.96%) from 3798 patients had positive UTI. Four hundred and ninety-seven (87.5%) from 568 isolated bacteria were resistant to at least one antibiotic. Escherichia coli, Staphylococcus spp., and Pseudomonas spp. were the most prevalent bacteria. Isolated bacteria indicated the highest antibiotic resistance to methicillin (76.06%) and ampicillin (89.29%) and also revealed the most sensitivity to imipenem (99.1%) and amikacin (91.57%). Statistical analysis of the resistance pattern trend during 3 years indicated the insignificant increase (P > 0.05) in antibiotic resistance of the isolates. Conclusion: The results of this study revealed a great concern for emerging UTI-related multidrug-resistant strains of bacteria causing UTI in Iran
The Effect of Aerobic Training on Parathyroid Hormone and Alkaline Phosphatase as Bone Markers in Men with Mild to Moderate Asthma: The Effect of Aerobic Training on Parathyroid Hormone …
No full textBackground and Aim: Inhalation of corticosteroids in patients with asthma is associated with an increased risk of osteoporosis. This study aimed to assess the effect of aerobic training on alkaline phosphatase (ALP), parathyroid hormone (PTH) as bone biomarkers in men with mild to moderate asthma.
Methods: Twenty four sedentary middle-aged men with asthma aged 40±5 years were randomly assigned to two groups as exercise (aerobic training, n=12) and control (no training, n =12). Aerobic training was performed 3 days a week for 12 weeks in the form of running on a flat surface at 60-75% of HRmax. Fasting blood samples were taken before and after the training program for measuring serum ALP and PTH.
Results: There were no statistically significant differences between groups with regard to anthropometrical and bone markers at baseline (p>0.05). Aerobic training resulted in significant increase in ALP (p = 0.023) and PTH (p = 0.016) in exercise individuals. All variables remained unchanged in the control group (p>0.05).
Conclusion: With an emphasis on the increase in ALP and PTH, it is concluded that relatively long-term aerobic exercise is associated with improved bone formation markers in patients with asthma treated with inhaled corticosteroids.
*Corresponding Author: Mojtaba Eizadi; Email: [email protected]
Please cite this article as: Eizadi M, Behboudi L, Afsharmand Z. The Effect of Aerobic Training on Parathyroid Hormone and Alkaline Phosphatase as Bone Markers in Men with Mild to Moderate Asthma. Arch Med Lab Sci. 2020;6:1-9 (e20). https://doi.org/10.22037/amls.v6. 3353
Correction to: Illumination map smoothing (IMS): a convex and differentiable mathematical model to rapidly enhance low-light images (Signal, Image and Video Processing, (2025), 19, 3, (213), 10.1007/s11760-024-03733-w)
No full textIn this article, the affiliation details for author Mahdi Ahmadnia were incorrectly given as ‘Department of Applied Mathematics, Ferdowsi University, Mashhad, Iran’ but should have been ‘Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran’ The affiliation details for author Mojtaba Maghreb were incorrectly given as ‘Department of Civil Engineering, Ferdowsi University, Mashhad, Iran’ but should have been ‘Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran’. The original article has been corrected
Regular Exercise Training as a Principal Non-Pharmacological Method Affects Serum Leptin and Cardiovascular Risk Factors in Men with Metabolic Syndrome
No full textBackground and Aim: Regular exercise training is the principal non-pharmacological method for the prevention and treatment of metabolic syndrome or other obesity-related diseases. We investigated the effects of aerobic training on leptin and cardiovascular risk factors in middle-aged men with metabolic syndrome.
Methods: Twenty-six sedentary middle-aged males with metabolic syndrome aged 40 ± 5 years were randomly assigned to two groups as exercise (aerobic training, n =13) and control (no training, n =13). The exercise programs were performed 3 days a week for 10 weeks at 55-75% of HRmax. Fasting blood samples were taken before and after the training period for measuring serum leptin and triglyceride (TG), total cholesterol (TC), LDL, and HDL as cardiovascular risk factors.
Results: No significant differences were observed between groups concerning anthropometric and clinical markers at baseline (p>0.05). Aerobic intervention resulted in significant decrease in anthropometric markers (abdominal circumference, body mass index, body fat percentage; p < 0.05), serum leptin (p = 0.026), TG (p = 0.001) and HDL (p = 0.032) in exercise group, but significant changes were not found in TC (p = 0.522) and LDL (p = 0.546). There were no changes in all measured variables in the control group.
Conclusion: Based on our finding, it seems that regular aerobic exercise is associated with improved serum leptin and cardiovascular function in patients with metabolic syndrome.
*Corresponding Author: Mojtaba Eizadi; Email: [email protected]
Please cite this article as: Naseri Rad R, Eizadi M. Regular Exercise Training as a Principal Non-Pharmacological Method Affects Serum Leptin and Cardiovascular Risk Factors in Men with Metabolic Syndrome. Arch Med Lab Sci. 2020;6:1-8 (e1). https://doi.org/10.22037/amls.v6.3164
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