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Effect of Self-Efficacy, Self-Elasticity, Major Satisfaction of Some Students Majoring in Dental Hygiene on Campus Life Adaptation (일부 치위생과 학생의 자아효능감, 자아탄력성, 학과만족도가 대학생활 적응에 미치는 영향)

  • Yun, Hyun-Kyung;Choi, Mi-Sook;Cho, Woo-Sun
    • The Journal of Korean Society for School & Community Health Education
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    • v.16 no.1
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    • pp.1-14
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    • 2015
  • Objectives: The purpose of this study was to examine the effects that the self-efficacy, self-elasticity, and major satisfaction of students majoring in dental hygiene would have on the adaptation to the campus life. Methods: The total 396 students were surveyed who majored in dental hygiene in universities located at Gyeongbuk and Gyeongnam from October 15, 2013 to October 30. The collected data were analyzed by using the SPSS 17.0 program, along with the One-Way ANOVA, correlation analysis, and multi-regression analysis. Results: The 'aptitude and interest' were found to be greatest factor among the motive for application among the factors of self-efficacy, self-elasticity, and major satisfaction of students, depending on general characteristics. The results of correlation analysis showed that the self-elasticity had a correlation of 0.741 and the adaptation to the study had a correlation of 0.420 in the self-efficacy, while the individual emotional adaptation, adaptation to university environment, and adaptation to the study had a correlation as high as over 0.4 in the self-elasticity(p<0.05). In addition, it was found that the adaptation to the campus life increased proportionally to the self-elasticity and major satisfaction(p<0.05). Conclusions: To increase the campus life adaptation of students majoring in dental hygiene, it is considered necessary to explore the measures that can improve the self-elasticity and overall major satisfaction.

Methods of analysis for buildings with uni-axial and bi-axial asymmetry in regions of lower seismicity

  • Lumantarna, Elisa;Lam, Nelson;Wilson, John
    • Earthquakes and Structures
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    • v.15 no.1
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    • pp.81-95
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    • 2018
  • Most buildings feature core walls (and shear walls) that are placed eccentrically within the building to fulfil architectural requirements. Contemporary earthquake design standards require three dimensional (3D) dynamic analysis to be undertaken to analyse the imposed seismic actions on this type of buildings. A static method of analysis is always appealing to design practitioners because results from the analysis can always be evaluated independently by manual calculation techniques for quality control purposes. However, the equivalent static analysis method (also known as the lateral load method) which involves application of an equivalent static load at a certain distance from the center of mass of the buildings can generate results that contradict with results from dynamic analysis. In this paper the Generalised Force Method of analysis has been introduced for multi-storey buildings. Algebraic expressions have been derived to provide estimates for the edge displacement ratio taking into account the effects of dynamic torsional actions. The Generalised Force Method which is based on static principles has been shown to be able to make accurate estimates of torsional actions in seismic conditions. The method is illustrated by examples of two multi-storey buildings. Importantly, the black box syndrome of a 3D dynamic analysis of the building can be circumvented.

Optimal stacking sequence design of laminate composite structures using tabu embedded simulated annealing

  • Rama Mohan Rao, A.;Arvind, N.
    • Structural Engineering and Mechanics
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    • v.25 no.2
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    • pp.239-268
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    • 2007
  • This paper deals with optimal stacking sequence design of laminate composite structures. The stacking sequence optimisation of laminate composites is formulated as a combinatorial problem and is solved using Simulated Annealing (SA), an algorithm devised based on inspiration of physical process of annealing of solids. The combinatorial constraints are handled using a correction strategy. The SA algorithm is strengthened by embedding Tabu search in order to prevent recycling of recently visited solutions and the resulting algorithm is referred to as tabu embedded simulated Annealing (TSA) algorithm. Computational performance of the proposed TSA algorithm is enhanced through cache-fetch implementation. Numerical experiments have been conducted by considering rectangular composite panels and composite cylindrical shell with different ply numbers and orientations. Numerical studies indicate that the TSA algorithm is quite effective in providing practical designs for lay-up sequence optimisation of laminate composites. The effect of various neighbourhood search algorithms on the convergence characteristics of TSA algorithm is investigated. The sensitiveness of the proposed optimisation algorithm for various parameter settings in simulated annealing is explored through parametric studies. Later, the TSA algorithm is employed for multi-criteria optimisation of hybrid composite cylinders for simultaneously optimising cost as well as weight with constraint on buckling load. The two objectives are initially considered individually and later collectively to solve as a multi-criteria optimisation problem. Finally, the computational efficiency of the TSA based stacking sequence optimisation algorithm has been compared with the genetic algorithm and found to be superior in performance.

Development of Customer Satisfaction Index (CSI) Model for Pakistan

  • HAMAYUN, Khadija;HAFEEZ, Shakir
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.153-171
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    • 2022
  • To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

Multi-stage design procedure for modal controllers of multi-input defective systems

  • Chen, Yu Dong
    • Structural Engineering and Mechanics
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    • v.27 no.5
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    • pp.527-540
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    • 2007
  • The modal controller of single-input system cannot stabilize the defective system with positive real part of repeated eigenvalues, because some of the generalized modes are uncontrollable. In order to stabilize the uncontrollable modes with positive real part of eigenvalues, the multi-input system should be introduced. This paper presents a recursive procedure for designing the feedback controller of the multi-input system with defective repeated eigenvalues. For a nearly defective system, we first transform it into a defective one, and apply the same method to manage. The proposed methods are based on the modal coordinate equations, to avoid the tedious mathematic manipulation. As an application of the presented procedure, two numerical examples are given at end of the paper.

Experimental investigation of a new steel friction device with link element for seismic strengthening of structures

  • Papadopoulos, Panikos K.;Salonikios, Thomas N.;Dimitrakis, Stergios A.;Papadopoulos, Alkis P.
    • Structural Engineering and Mechanics
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    • v.46 no.4
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    • pp.487-504
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    • 2013
  • In the present work a new friction device, with a set of single or double rotational friction flanges and a link element, is described and tested. The mechanism may be applied for the strengthening of existing r/c or steel buildings as well as in new constructed buildings. The device has selectable variable behavior in different levels of displacement and an interlock mechanism that is provided by the link element. The link element may be designed to lock at preselected level of displacement, offering in this way an extra safety reserve against strong earthquakes. A summary of the existing literature about other similar mechanisms is initially presented in this paper. The proposed mechanism is presented and described in details. Laboratory experiments are presented in detail and the resulted response that proves the efficiency of the mechanism at selectable levels of strength capacity is discussed. Drawings of the mechanism attached to a r/c frame with connection details are also included. Finally a dynamic analysis of two r/c frames, with and without the proposed mechanism attached, is performed and the resulted response is given. The main conclusion is that the proposed mechanism is a cheap and efficient devise for the improvement of the performance of new or existing framed buildings to seismic loads.

Combining multi-task autoencoder with Wasserstein generative adversarial networks for improving speech recognition performance (음성인식 성능 개선을 위한 다중작업 오토인코더와 와설스타인식 생성적 적대 신경망의 결합)

  • Kao, Chao Yuan;Ko, Hanseok
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.6
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    • pp.670-677
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    • 2019
  • As the presence of background noise in acoustic signal degrades the performance of speech or acoustic event recognition, it is still challenging to extract noise-robust acoustic features from noisy signal. In this paper, we propose a combined structure of Wasserstein Generative Adversarial Network (WGAN) and MultiTask AutoEncoder (MTAE) as deep learning architecture that integrates the strength of MTAE and WGAN respectively such that it estimates not only noise but also speech features from noisy acoustic source. The proposed MTAE-WGAN structure is used to estimate speech signal and the residual noise by employing a gradient penalty and a weight initialization method for Leaky Rectified Linear Unit (LReLU) and Parametric ReLU (PReLU). The proposed MTAE-WGAN structure with the adopted gradient penalty loss function enhances the speech features and subsequently achieve substantial Phoneme Error Rate (PER) improvements over the stand-alone Deep Denoising Autoencoder (DDAE), MTAE, Redundant Convolutional Encoder-Decoder (R-CED) and Recurrent MTAE (RMTAE) models for robust speech recognition.

Potential Wide-gap Materials as a Top Cell for Multi-junction c-Si Based Solar Cells: A Short Review

  • Pham, Duy Phong;Lee, Sunhwa;Kim, Sehyeon;Oh, Donghyun;Khokhar, Muhammad Quddamah;Kim, Sangho;Park, Jinjoo;Kim, Youngkuk;Cho, Eun-Chel;Cho, Young-Hyun;Yi, Junsin
    • Current Photovoltaic Research
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    • v.7 no.3
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    • pp.76-84
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    • 2019
  • Silicon heterojunction solar cells (SHJ) have dominated the photovoltaic market up till now but their conversion performance is practically limited to around 26% compared with the theoretical efficiency limit of 29.4%. A silicon based multi-junction devices are expected to overcome this limitation. In this report, we briefly review the state-of-art characteristic of wide-gap materials which has played a role as top sub-cells in silicon based multi-junction solar cells. In addition, we indicate significantly practical challenges and key issues of these multi-junction combination. Finally, we focus to some characteristics of III-V/c-Si tandem configuration which are reaching highly record performance in multi-junction silicon solar cells.

Determinants of Participation in a Breast Cancer Screening Trial in Trivandrum District, India

  • Frie, Kirstin Grosse;Ramadas, Kunnambath;Anju, Gopan;Mathew, Beela Sara;Muwonge, Richard;Sauvaget, Catherine;Thara, Somanathan;Sankaranarayanan, Rengaswamy
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7301-7307
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    • 2013
  • Background: Conspicuous differences in participation rates for breast self-examination (BSE), clinical breast examination (CBE), and referral for further investigations have been observed indicating involvement of a number of different factors. This study analysed determinants for participation in different levels of the breast cancer screening process in Indian females. Materials and Methods: An intervention group of 52,011 women was interviewed in a breast cancer screening trial in Trivandrum district, India. In order to assess demographic, socio-economic, reproductive, and cancer-related determinants of participation in BSE, CBE, and referral, uni- and multi-variate logistic regression was employed. Results: Of the interviewed women, 23.2% reported practicing BSE, 96.8% had attended CBE, and 49.1% of 2,880 screen-positives attended referral. Results showed an influence of various determinants on participation; women who were currently not married or who had no family history of cancer were significantly less likely to attend the screening process at any level. Conclusions: Increasing awareness about breast cancer, early detection methods, and the advantages of early diagnoses among women, and their families, as well as health care workers offering social support, could help to increase participation over the entire screening process in India.

A Genetic Algorithm with a New Repair Process for Solving Multi-stage, Multi-machine, Multi-product Scheduling Problems

  • Pongcharoen, Pupong;Khadwilard, Aphirak;Hicks, Christian
    • Industrial Engineering and Management Systems
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    • v.7 no.3
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    • pp.204-213
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    • 2008
  • Companies that produce capital goods need to schedule the production of products that have complex product structures with components that require many operations on different machines. A feasible schedule must satisfy operation and assembly precedence constraints. It is also important to avoid deadlock situations. In this paper a Genetic Algorithm (GA) has been developed that includes a new repair process that rectifies infeasible schedules that are produced during the evolution process. The algorithm was designed to minimise the combination of earliness and tardiness penalties and took into account finite capacity constraints. Three different sized problems were obtained from a collaborating capital goods company. A design of experimental approach was used to systematically identify that the best genetic operators and GA parameters for each size of problem.