• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.35-44
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• 2022

The Internet is extremely important to accomplish numerous items, from education to businesses and entertainment. Therefore, the quality of its performance must be efficient. Nowadays, there is a lack of information available for users to choose a suitable Internet service. What information is available might be insufficient, inaccurate, or regularly updated. Accordingly, there is a need to develop an electronic system that enables users to evaluate their current Internet service subscription. Several factors are used as evaluation criteria in the system that affect users' decisions. In this paper, a prototype of a design science research project is proposed to address a few objectives. First, it can help Internet service users in Saudi Arabia to make the best decision for themselves regarding Internet services subscriptions. Second, it can assist the Saudi government to seek one of the 2030 vision goals: the digital transformation that depends on having a good Internet connection. The proposed solution is a promising one that would help Internet service users to make the best decision for themselves and choose the best Internet service that fits their needs. A qualitative method has been used to evaluate the efficiency and the utility of the proposed system prototype. The results showed the extent of participants' acceptance of the Internet Service Evaluation System.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1714-1728
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• 2016

This paper presents improved harmonics extraction based on Adaptive Linear Neuron (ADALINE) algorithm for single phase photovoltaic (PV) shunt active power filter (SAPF). The proposed algorithm, named later as Improved ADALINE, contributes to better performance by removing cosine factor and sum of element that are considered as unnecessary features inside the existing algorithm, known as Modified Widrow-Hoff (W-H) ADALINE. A new updating technique, named as Fundamental Active Current, is introduced to replace the role of the weight factor inside the previous updating technique. For evaluation and comparison purposes, both proposed and existing algorithms have been developed. The PV SAPF with both algorithms was simulated in MATLAB-Simulink respectively, with and without operation or connection of PV. For hardware implementation, laboratory prototype has been developed and the proposed algorithm was programmed in TMS320F28335 DSP board. Steady state operation and three critical dynamic operations, which involve change of nonlinear loads, off-on operation between PV and SAPF, and change of irradiances, were carried out for performance evaluation. From the results and analysis, the Improved ADALINE algorithm shows the best performances with low total harmonic distortion, fast response time and high source power reduction. It performs well in both steady state and dynamic operations as compared to the Modified W-H ADALINE algorithm.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.1-15
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• 2003

This paper examines the use of the EFQM Model in H.E. Institutions in the UK and offers a case study of how one University used the Excellence Model as a means to change the way it operated. It identifies and discusses the critical success factors for a university utilizing the Model, in particular Leadership (criteria 1), People Management, particularly with regard to performance evaluation (criteria 3), having key processes in place (criteria 5) and the identification of the correct key performance results for its various stakeholders (criteria 9).

• Health Policy and Management
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• v.9 no.2
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• pp.21-39
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• 1999

An increasing number of hospitals are seeking for new or mixed compensation strategies to improve the productivity of their medical staff in the struggle to provide high quality medical services at low costs amid the economic hardship. To motivate physicians toward the right direction, it is necessary to effectively evaluate their performance that provides a basis for compensation. However, productivity has been historically difficult to measure, particularly for physicians in academic medical centers who are expected to engage in research, education, and patient care simultaneously. The objectives of this study were to define performance measures of physicians and clinical departments in academic medical centers. to examine correlations between the measures. and to investigate factors affecting the measures. The performance data of 212 faculty physicians in 17 clinical departments in two university teaching hospitals affiliated to one medical school during the fiscal year 1994 was used for analyses. Patient care revenue, net profit. and adjusted number of patients were defined to measure the performance in patient care. and number of articles published in academic journals and research grant were defined for research activities. Both individual physicians' performance measures and per physician measures of clinical departments were analyzed. All measures defined to evaluate individual physicians' performance were positively related to each other. Clinical department and rank of faculty position were statistically significant predictors of revenue. and hospital. clinical department. and rank were significant predictors of net profit. journal publication. and research grant. Patient care measures defined to evaluate clinical departments were related to each other. so were research measures. and no significant correlations were found between patient care measures and research measures. Also found were large differences in department. ranks when clinical departments were evaluated by absolute per physician performance measures and evaluated by annual rate of changes in performance measures. These findings suggest that departmental performance measures opposed to individual performance measures are relatively free from problems of factors affecting the performance measures that are not in control of clinical departments or individual physicians. Results from the correlation analysis of departmental performance measures indicates that measures of research performance should be included in the evaluation to promote research activities in academic medical centers.

• Transactions on Electrical and Electronic Materials
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• v.17 no.6
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• pp.317-328
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• 2016

Over the past few decades, CMOS current comparators have been used in a wide range of applications, including analogue circuits, MVL (multiple-valued logic) circuits, and various electronic products. A current comparator is generally used in an ADC (analog-to-digital) converter of sensors and similar devices, and several techniques and approaches have been implemented to design the current comparator to improve performance. To this end, this paper presents a bibliographical survey of recently-published research on different current comparator topologies for low-power and high-speed applications. Moreover, several aspects of the CMOS current comparator are discussed regarding the design implementation, parameters, and performance comparison in terms of the power dissipation and operational speed. This review will serve as a comparative study and reference for researchers working on CMOS current comparators in low-power and high-speed applications.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.12
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• pp.5153-5157
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• 2016

Objective: The benefits of screening and early detection of breast cancer, including reduced morbidity and mortality, have been well-reported in the literature. In 2011, a breast cancer screening program was launched in Meknes-Tafilalt region of Morocco. The aim of this study was to evaluate the early performance indicators of this program. Materials and Methods: This retrospective evaluative study was conducted between April 2012 and December 2014, in Meknes-Tafilalt region of Morocco. Several performance indicators of the breast cancer screening program were calculated: the compliance rate, the positivity rate, the referral rate, the cancer detection rate and the organizational indicators. Results: During 2012-2014, a total of 184,951 women participated in the breast cancer screening program. The compliance rate was 26%, the positive rate was 3.3%, the referral rate was 36.7%, and the cancer detection rate was 1.2 per 1,000 women. The median time between the date of clinical breast examination and the date of biopsy (or cyto-puncture) was 36 days. The median time between the date of positive mammography and the date of biopsy (or cyto-puncture) was 6 days. The median time between the date of clinical breast examination and the date of the first received treatment was 61 days. Conclusions: The program needs better monitoring, as well as implementation of quality assurance tools to improve performance in our country.

• Structural Engineering and Mechanics
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• v.63 no.2
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• pp.259-268
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• 2017

In this paper, the incremental nonlinear dynamic analysis is used to evaluate the seismic performance of steel moment frame structures. To this purpose, three special moment frame structure with 5, 10 and 15 stories are designed according to the Iran's national building code for steel structures and the provisions for design of earthquake resistant buildings (2800 code). Incremental Nonlinear Analysis (IDA) is performed for 15 different ground motions, and responses of the structures are evaluated. For the immediate occupancy and the collapse prevention performance levels, the probability that seismic demand exceeds the seismic capacity of the structures is computed based on FEMA350. Also, fragility curves are plotted for three high-code damage levels using HASUS provisions. Based on the obtained results, it is evident that increase in the height of the frame structures reduces the reliability level. In addition, it is concluded that for the design earthquake the probability of exceeding average collapse prevention level is considerably larger than high and full collapse prevention levels.9.

• Earthquakes and Structures
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• v.13 no.6
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• pp.531-538
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• 2017

In this paper, the seismic behavior of BRBF structures is studied and compared with special concentric braced frames (SCBF). To this purpose, three BRBF and three SCBF structures with 3, 5 and 10 stories are designed based on AISC360-5 and modelled using OpenSees. These structures are loaded in accordance with ASCE/SEI 7-10. Incremental nonlinear dynamic analysis (IDA) are performed on these structures for 28 different accelerograms and the median IDA curves are used to compare seismic capacity of these two systems. Results obtained, indicates that BRBF systems provide higher capacity for the target performance level in comparison with SCBF systems. And structures with high altitude (in this study, 5 and 10 stories) with the possibility of exceeding the collapse prevention performance level, further than lower altitude (here 3 floors) structures.

• Korean Medical Education Review
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• v.15 no.3
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• pp.120-124
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• 2013

The clinical clerkship focuses students on developing their ability to perform comprehensive diagnosis and management of patients with common undifferentiated problems by the integration of knowledge and clinical reasoning. Therefore, the clerkship evaluation system should assess their actual problem solving and professional behavior. However, concern remains that clerkship evaluations are imprecise and highly variable. This review is designed to provide faculty members with concepts, options, and a methodology to actively teach and evaluate the clinical clerkship, as well as offer encouragement and inspiration to medical students. We reviewed past and current clinical clerkship evaluations and discuss several tips to improve clinical excellence such as continuity, transparency of the evaluation process, a faculty development program, practical examination of clinical skills, implementation of a checklist for recording exposure and skills, providing prompt and constructive feedback to students, self-evaluation of professional performance, varying multi-faceted assessment combinations, being outpatient clinic-centered, and having dedicated faculty members who give students one-on-one contact with a preceptor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.153-172
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• 2022

In this study, the authors intend to analyze factors contributing to research performance using Backpropagation Neural Network and Support Vector Machine. The analyzing factors contributing to lecturer research performance start from defining the features. The next stage is to collect datasets based on defining features. Then transform the raw dataset into data ready to be processed. After the data is transformed, the next stage is the selection of features. Before the selection of features, the target feature is determined, namely research performance. The selection of features consists of Chi-Square selection (U), and Pearson correlation coefficient (CM). The selection of features produces eight factors contributing to lecturer research performance are Scientific Papers (U: 154.38, CM: 0.79), Number of Citation (U: 95.86, CM: 0.70), Conference (U: 68.67, CM: 0.57), Grade (U: 10.13, CM: 0.29), Grant (U: 35.40, CM: 0.36), IPR (U: 19.81, CM: 0.27), Qualification (U: 2.57, CM: 0.26), and Grant Awardee (U: 2.66, CM: 0.26). To analyze the factors, two data mining classifiers were involved, Backpropagation Neural Networks (BPNN) and Support Vector Machine (SVM). Evaluation of the data mining classifier with an accuracy score for BPNN of 95 percent, and SVM of 92 percent. The essence of this analysis is not to find the highest accuracy score, but rather whether the factors can pass the test phase with the expected results. The findings of this study reveal the factors that have a significant impact on research performance and vice versa.