• Title/Summary/Keyword: Screening Theory

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Development of Short Form of the Korean Version- the Boston Naming Test (K-BNT-15) Based on Item Response Theory (문항반응이론을 적용한 한국판 보스톤 이름대기 검사 단축형(K-BNT-15) 개발)

  • Kim, HyangHee;Kim, Soo Ryon
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.321-327
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    • 2013
  • Impaired naming difficulty is common in normal elderly as well as in patients with neurological impairment. The 60-item Korean version-Boston Naming Test(K-BNT) is one of the most commonly used test for measuring confrontational naming ability. However, age-related cognitive decline may make the elderly difficult concentrating during the 60-item test, therefore, item reduction of the K-BNT would improve test validity and reliability. Thus, the purpose of this study was to develop a short form of the K-BNT based on Item Response Theory(IRT). Considering item-fit index, sex factor, and item difficulty through Rasch analysis, the 15-item K-BNT(i.e., K-BNT-15) was developed. Via administration of the K-BNT-15, we observed age-related decline in naming ability and significantly different performance between the normal elderly and patients with mild cognitive impairment. This study demonstrates the utility of IRT for developing a short-form language evaluation tool. The K-BNT-15 can be effective as a language screening tool to differentiate between normal aging and pathological diseases.

A Fast Anti-jamming Decision Method Based on the Rule-Reduced Genetic Algorithm

  • Hui, Jin;Xiaoqin, Song;Miao, Wang;Yingtao, Niu;Ke, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4549-4567
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    • 2016
  • To cope with the complex electromagnetic environment of wireless communication systems, anti-jamming decision methods are necessary to keep the reliability of communication. Basing on the rule-reduced genetic algorithm (RRGA), an anti-jamming decision method is proposed in this paper to adapt to the fast channel variations. Firstly, the reduced decision rules are obtained according to the rough set (RS) theory. Secondly, the randomly generated initial population of the genetic algorithm (GA) is screened and the individuals are preserved in accordance with the reduced decision rules. Finally, the initial population after screening is utilized in the genetic algorithm to optimize the communication parameters. In order to remove the dependency on the weights, this paper deploys an anti-jamming decision objective function, which aims at maximizing the normalized transmission rate under the constraints of minimizing the normalized transmitting power with the pre-defined bit error rate (BER). Simulations are carried out to verify the performance of both the traditional genetic algorithm and the adaptive genetic algorithm. Simulation results show that the convergence rates of the two algorithms increase significantly thanks to the initial population determined by the reduced-rules, without losing the accuracy of the decision-making. Meanwhile, the weight-independent objective function makes the algorithm more practical than the traditional methods.

Modifying Health Behavior for Liver Fluke and Cholangiocarcinoma Prevention with the Health Belief Model and Social Support Theory

  • Padchasuwan, Natnapa;Kaewpitoon, Soraya J;Rujirakul, Ratana;Wakkuwattapong, Parichart;Norkaew, Jun;Kujapun, Jirawoot;Ponphimai, Sukanya;Chavenkun, Wasugree;Kompor, Pontip;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.8
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    • pp.3721-3725
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    • 2016
  • The liver fluke Opisthorchis viverrini is a serious health problem in Thailand. Infection is associated with cholangiocarcinoma (CCA), endemic among human populations in northeast and north Thailand where raw fish containing fluke metacercariae are frequently consumed. Recently, Thailand public health authorities have been organized to reduce morbidity and mortality particularly in the northeast through O. viverrini and CCA screening projects. Health modification is one of activities included in this campaign, but systemic guidelines of modifying and developing health behavior among liver fluke and CCA prevention in communities towards health belief and social support theory are still various and unclear. Here we review the guidelines for modifying and developing health behavior among populations in rural communities to strengthen understanding regarding perceived susceptibility, severity, benefits, and barriers to liver fluke and CCA prevention. This model may be useful for public health officers and related organizations to further health behavior change in endemic areas.

Hong Kong Chinese Women's Lay Beliefs about Cervical Cancer Causation and Prevention

  • Wang, Linda Dong-Ling;Lam, Wendy Wing Tak;Wu, Joseph;Fielding, Richard
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.18
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    • pp.7679-7686
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    • 2014
  • Background: This study aimed to seek insights into Chinese women's lay beliefs about cervical cancer causal attributions and prevention. Materials and Methods: Twenty-three new immigrant adult women from Mainland China and thirty-five Hong Kong adult women underwent semi-structured in-depth interviews. Interviews were audio taped, transcribed and analyzed using a Grounded Theory approach. Results: This study generated three foci: causal beliefs about cervical cancer, perceived risk of cervical cancer, and beliefs about cervical cancer prevention. Personal risky practices, contaminated food and environment pollution were perceived as the primary causes of cervical cancer. New immigrant women more likely attributed cervical cancer to external factors. Most participants perceived cervical cancer as an important common fatal female cancer with increased risk/prevalence. Many participants, particularly new immigrant women participants, expressed helplessness about cervical cancer prevention due to lack of knowledge of prevention, it being perceived as beyond individual control. Many new immigrant participants had never undergone regular cervical screening while almost all Hong Kong participants had done so. Conclusions: Some Chinese women hold pessimistic beliefs about cervical cancer prevention with inadequate knowledge about risk factors. Future cervical cancer prevention programs should provide more information and include capacity building to increase Chinese women's knowledge and self-efficacy towards cervical cancer prevention.

Development of a Theory Based Nutrition Education Program for Childbearing Aged Women in Korea (행동이론에 근거한 가임여성 대상 영양교육 프로그램 개발)

  • Oh Se-Young;Kim Kyung-A;You Hye-Eun;Chung Hae-Rang
    • Korean Journal of Community Nutrition
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    • v.9 no.6
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    • pp.725-733
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    • 2004
  • It was well received that well grounded behavioral theories were important in the development of effective nutrition education programs, but there are only a few programs available for Korean women. The objective of this study was to develop nutrition education programs for childbearing-aged women in Korea. Based on the findings of the needs assessment for the program and theoretical backgrounds, we developed behaviorally oriented tailored nutrition education program including motivation (MT), modifying (MD) and maintenance (MA) stages. The key concepts of the stages were motivation promotion for MT, increasing behavioral capabilities for MD, and strengthening self-management and building favorable environmental condition for MA. The education program was intended to be need in individual nutrition counseling, but it could be well used for group education by developing materials using the relevant contents. The primary users of the program were nutrition educators, however it could be also used by clients as needed. The introductory chapter provided dietary assessment tools and nutrition education tips. MT chapter included subjects such as nutritional status screening, costs of inappropriate nutrition and weight management, benefits of eating right, and activities for motivation promotion. MD stage chapter dealt with topics of healthy weight, knowledges and skills for better eating habits and physical activity status, and activities related to setting tailored behavioral objectives. MA stage focused on facilitating self management skills and building helping relationships. Each stage underlined activities using various educational tools in order to promote active participation of the client (s). For better use of this program, it was recommended to conduct program validation study.

An Integrated Multicriteria Decision-Making Approach for Evaluating Nuclear Fuel Cycle Systems for Long-term Sustainability on the Basis of an Equilibrium Model: Technique for Order of Preference by Similarity to Ideal Solution, Preference Ranking Organization Method for Enrichment Evaluation, and Multiattribute Utility Theory Combined with Analytic Hierarchy Process

  • Yoon, Saerom;Choi, Sungyeol;Ko, Wonil
    • Nuclear Engineering and Technology
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    • v.49 no.1
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    • pp.148-164
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    • 2017
  • The focus on the issues surrounding spent nuclear fuel and lifetime extension of old nuclear power plants continues to grow nowadays. A transparent decision-making process to identify the best suitable nuclear fuel cycle (NFC) is considered to be the key task in the current situation. Through this study, an attempt is made to develop an equilibrium model for the NFC to calculate the material flows based on 1 TWh of electricity production, and to perform integrated multicriteria decision-making method analyses via the analytic hierarchy process technique for order of preference by similarity to ideal solution, preference ranking organization method for enrichment evaluation, and multiattribute utility theory methods. This comparative study is aimed at screening and ranking the three selected NFC options against five aspects: sustainability, environmental friendliness, economics, proliferation resistance, and technical feasibility. The selected fuel cycle options include pressurized water reactor (PWR) once-through cycle, PWR mixed oxide cycle, or pyroprocessing sodium-cooled fast reactor cycle. A sensitivity analysis was performed to prove the robustness of the results and explore the influence of criteria on the obtained ranking. As a result of the comparative analysis, the pyroprocessing sodium-cooled fast reactor cycle is determined to be the most competitive option among the NFC scenarios.

Information Technology Knowledge Management taxonomy to enhance government electronic services in existence of COVID 19 outbreak

  • Badawood, Ashraf;AlBadri, Hamad
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.353-359
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    • 2021
  • Information technology and the need for timely and effective communication during the Covid-19 have made most governments adopt technological approaches to provide their services. E-government services have been adopted by most governments especially in developed countries to quickly and effectively share information. This study discusses the reasons why governments in the Gulf region should develop a new model for information technology knowledge management practices. To achieve this, the author identified possible benefits of adopting information technology knowledge management practices and why most governments in the Gulf find it hard to adopt them. Knowledge management allows for learning, transfer as well as sharing of information between government organizations and citizens and with the development of technology, the effectiveness of electronic services can easily be achieved. Also, effective adoption of information technology can improve knowledge management with the help of techniques that enhance capture, storage, retrieval as well as sharing of information. The author used systematic literature review to select 28 journals and articles published post 2019. IEEE, Google Scholar and Science Direct were used to select potential studies from which 722 journals and articles were selected. Through screening and eligibility assessment, 21 articles were retained while the back and forward search had 7 more articles which were also included in the study. Using information gathered from these articles and journals a new conceptual model was developed to help improve information technology knowledge management for governments in the Gulf region to effectively deliver e-services during Covid-19. This model was developed based on the process of KM, Theory of Planned Behavior and Unified Theory of Acceptance and Use of Technology. Based on the developed model. From UTAUT model, performance expectancy, effort expectancy as well as social influence had a great impact.

Research on the Uses and Gratifications of Tiktok (Douyin short video)

  • Yaqi, Zhou;Lee, Jong-Yoon;Liu, Shanshan
    • International Journal of Contents
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    • v.17 no.1
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    • pp.37-53
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    • 2021
  • With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

Measurement of nuclear fuel assembly's bow from visual inspection's video record

  • Dusan Plasienka;Jaroslav Knotek;Marcin Kopec;Martina Mala;Jan Blazek
    • Nuclear Engineering and Technology
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    • v.55 no.4
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    • pp.1485-1494
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    • 2023
  • The bow of the nuclear fuel assembly is a well-known phenomenon. One of the vital criteria during the history of nuclear fuel development has been fuel assembly's mechanical stability. Once present, the fuel assembly bow can lead to safety issues like excessive water gap and power redistribution or even incomplete rod insertion (IRI). The extensive bow can result in assembly handling and loading problems. This is why the fuel assembly's bow is one of the most often controlled geometrical factors during periodic fuel inspections for VVER when compared e.g. to on-site fuel rod gap measurements or other instrumental measurements performed on-site. Our proposed screening method uses existing video records for fuel inspection. We establish video frames normalization and aggregation for the purposes of bow measurement. The whole process is done by digital image processing algorithms which analyze rotations of video frames, extract angles whose source is the fuel set torsion, and reconstruct torsion schema. This approach provides results comparable to the commonly utilized method. We tested this new approach in real operation on 19 fuel assemblies with different campaign numbers and designs, where the average deviation from other methods was less than 2 % on average. Due to the fact, that the method has not yet been validated during full scale measurements of the fuel inspection, the preliminary results stand for that we recommend this method as a complementary part of standard bow measurement procedures to increase measurement robustness, lower time consumption and preserve or increase accuracy. After completed validation it is expected that the proposed method allows standalone fuel assembly bow measurements.

Quantum Mechanical Simulation for the Analysis, Optimization and Accelerated Development of Precursors and Processes for Atomic Layer Deposition (ALD)

  • Mustard, Thomas Jeffrey Lomax;Kwak, Hyunwook Shaun;Goldberg, Alexander;Gavartin, Jacob;Morisato, Tsuguo;Yoshidome, Daisuke;Halls, Mathew David
    • Journal of the Korean Ceramic Society
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    • v.53 no.3
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    • pp.317-324
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    • 2016
  • Continued miniaturization and increasingly exact requirements for thin film deposition in the semiconductor industry is driving the search for new effective, efficient, selective precursors and processes. The requirements of defect-free, conformal films, and precise thickness control have focused attention on atomic layer deposition (ALD). ALD precursors so far have been developed through a trial-and-error experimental approach, leveraging the expertise and tribal knowledge of individual research groups. Precursors can show significant variation in performance, depending on specific choice of co-reactant, deposition stage, and processing conditions. The chemical design space for reactive thin film precursors is enormous and there is urgent need for the development of computational approaches to help identify new ligand-metal architectures and functional co-reactants that deliver the required surface activity for next-generation thin-film deposition processes. In this paper we discuss quantum mechanical simulation (e.g. density functional theory, DFT) applied to ALD precursor reactivity and state-of-the-art automated screening approaches to assist experimental efforts leading toward optimized precursors for next-generation ALD processes.