• Title/Summary/Keyword: Reporting guidelines

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Efficient Real Resource Monitoring Methods for Design System Management Function based on TMN (TMN기반의 SMF설계를 위한 효율적인 자원 감시 기법)

  • 정현식;전상훈
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.4
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    • pp.177-184
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    • 1999
  • GDMO Agent platform based on TMN modeling operating status of network elements and resources to Managed Object as GDMO standard and controled by telecommunication management function requests of manager supporting status of resources. To supporting basic function of these GDMO agent, 13 kinds of system management function has to be implemented. Event-Report-Management function related to all system management functions. The reason that rapidly reporting has been performed as status of resources to manager by continuously communication with real resources. In this paper, a number of approach has been analyzed to communication with real resources for effective event-report management function and we proposed new real resource monitoring schemes of RRMC(Real Resource Message Coordinator) architecture for improving these resulted problem.

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Effects of Breastfeeding Interventions on Breastfeeding Rates at 1, 3 and 6 Months Postpartum: A Systematic Review and Meta-Analysis (모유수유중재의 산후 1, 3, 6개월 모유수유율에 대한 효과: 체계적 문헌고찰 및 메타분석)

  • Park, Seol Hui;Ryu, Seang
    • Journal of Korean Academy of Nursing
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    • v.47 no.6
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    • pp.713-730
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    • 2017
  • Purpose: This study was a systematic review and meta-analysis designed to evaluate the effects of breastfeeding intervention on breastfeeding rates. Methods: Based on the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), a systematic search was conducted using eight core electronic databases and other sources including gray literature from January 9 to 19, 2017. Two reviewers independently select the studies and assessed methodological risk of bias of studies using the Cochrane criteria. The topics of breastfeeding interventions were analyzed using descriptive analysis and the effects of intervention were meta-analyzed using the Review Manager 5.2 software. Results: A total of 16 studies were included in the review and 15 were included for meta-analysis. The most frequently used intervention topics were the importance of good latch-on and frequency of feeding and determining adequate intake followed. The pooled total effect of breastfeeding intervention was 1.08 (95% CI 1.03~1.13). In the subgroup analysis, neither pre-nor post-childbirth intervention was effective on the breastfeeding rates at 1, 3, and 6 months, and neither group nor individual interventions had an effect. Only the 1 month breastfeeding rate was found to be affected by the individual intervention with the persistent strategies 1.21 (95% CI 1.04~1.40). Conclusion: Effective breastfeeding interventions are needed to help the mother to start breastfeeding after childbirth and continue for at least six months. It should be programmed such that individuals can acquire information and specific breastfeeding skills. After returning home, there should be continuous support strategies for breastfeeding as well as managing various difficulties related to childcare.

Improvement Plan of Ocean Physics Assessment Technique for Power Plant Thermal Effluent (발전소 온배수에 의한 해양물리학적 평가기법 개선방안 연구)

  • Kim, Myeong-Won;Jo, Gwang-Woo;Maeng, Jun-Ho;Kang, Tae-Soon;Kim, Jongkyu
    • Journal of Ocean Engineering and Technology
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    • v.28 no.3
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    • pp.245-253
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    • 2014
  • This research analyzed the current situation and problems with an environmental impact assessment to provide a rational ocean physics assessment technique for power plant thermal effluent. This research also tried to create an improvement plan for heated effluent diffusion impact assessment by examining the reporting regulations for environmental impact assessment, national and international evaluation guidelines, etc. In the case of evaluating the oceanographic impact of heated effluent discharged from power plants, a pre-investigation is necessary before a full-scale presentence investigation, to accurately predict and minimize power plant construction effects on the surrounding environments. Before this presentence investigation, moreover, an integrated presentence plan, which agrees with the business plan, effect prediction, and post-investigation, needs to be established. A sufficient summit investigation must be made, which considers climate changes, and new and additional power plant construction. For accurate long-term oceanic environmental change prediction, the credibility of effect prediction must be elevated by presenting an evaluation method that is categorized by numerical organization models, verification methods, result presentation, and other things. Furthermore, unproductive conflicts between the people involved in heated effluent evaluation should be reduced by these improvement plans.

A Study on Utilization of Drone for Public Sector by Analysis of Drone Industry (국내외 드론산업 동향 분석을 통한 공공분야에서의 드론 활용방안에 대한 연구)

  • Sim, Seungbae;Kwon, Hunyeong;Jung, Hosang
    • Journal of Information Technology Services
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    • v.15 no.4
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    • pp.25-39
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    • 2016
  • The drone is an unmanned aerial vehicle which has no human pilot. Drones can be classified into military drones, commercial drones, and personal drones by usage. Also, drones can be classified from large-sized to nano-sized drone by size and autonomous, remote controlled drone by control type. Especially, military drones can be classified into low-altitude drones, medium-altitude, and high-altitude drones by altitude. Recently, the drone industry is one of the fast growing industries in the world. As drone technologies have become more advanced and cost-effective, Korean government has set its goal to become a top-level country in drone business. However, the government's strict regulation for drone operations is one of the biggest hurdles for the development of the related technologies in Korea and other countries. For example, critical problems for drone delivery can be classified into technical issues and institutional issues. Technical issues include durability, conditional awareness, grasp and release mechanisms, collision avoidance systems, drone operating system. Institutional issues include pilot and operator licensing, privacy rules, noise guidelines, security rules, education for drone police. This study analyzes the trends of the drone industry from the viewpoint of technology and regulation. Also, we define the business areas of drone utilization. Especially, the drone business types or models for public sector are proposed. Drone services or functions promoting public interests need to be aligned with the business reference model of Korean government. To define ten types of drone uses for public sector, we combine the business types of government with the future uses of drones that are proposed by futurists and business analysts. Future uses of drones can be divided into three sectors or services. First, drone services for public or military sectors include early warning systems, emergency services, news reporting, police drones, library drones, healthcare drones, travel drones. Second, drone services for commercial or industrial services include parcel delivery drones, gaming drones, sporting drones, farming and agriculture drones, ranching drones, robotic arm drones. Third, drone services for household sector include smart home drones.

Work-Related Musculoskeletal Disorders in Iranian Dentists: A Systematic Review and Meta-analysis

  • ZakerJafari, Hamid Reza;YektaKooshali, Mohammad Hossein
    • Safety and Health at Work
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    • v.9 no.1
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    • pp.1-9
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    • 2018
  • Background: Work-related musculoskeletal disorders are the most important problems among professions particularly, dentists. This study was conducted to determine the prevalence of musculoskeletal disorders in various parts of the body in Iranian dentists by using systematic review and meta-analysis. Methods: This systematic review and meta-analysis was based on preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and searching in national databases such as SID, Magiran, Irandoc, IranMedex, and Medlib, and international databases such as MedLine, Web of Sciences, Scopus, PubMed, ScienceDirect, Cochrane, Embase, Springer, Wiley Online Library, Ebsco, CEBM, and Google Scholar search engine which were published by January 1, 2017. Researched keywords were in Persian and their standard English equivalents were in accordance with their MeSH. The obtained documents were analyzed using Comprehensive Meta-analysis version 2. Results: According to 23 studies through 2,531 Iranian dentists which took part in this study, prevalence of skeletal disorders in Iranian dentists has been 17.6% [confidence interval (CI) 95%:11.7-25.5] in knees, 33.2% (CI 95%:24.1-43.8) in shoulders, 33.4% (CI 95%: 26.8-40.8) in the thorax, 51.9% (CI 95%:46.7-57.2) in necks, 33.7% (CI 95%:28.2-39.6) in wrists/hands, 12.9% (CI 95%:7.7-20.6) in elbows, 37.3% (CI 95%: 31.5-43.5) in lower back, 11.9% (CI 95%:8.7-16.1) in thighs, 12.9% (CI 95%:3.8-36) in the foot, and 10.5% (CI 95%:7-15.4) in legs. Conclusion: Considering the high prevalence of musculoskeletal disorders in Iranian dentists, ergonomics should be included as a lesson in preclinic and also, reeducation courses for ergonomics basics should be executed for graduate dentists.

Evaluation on the Quality of Electronic Journal Usage Report Service (전자저널 이용통계서비스의 품질평가에 대한 연구)

  • Kim, Hye-Sun
    • Journal of Information Management
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    • v.35 no.4
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    • pp.35-56
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    • 2004
  • As the more web contents are available through the internet, relative importance of electronic resources in the library collection has gradually increased. While several measurement criteria are used for the effective collection development, the usage statistics is generally accepted as the key factor to assess the retention and cancellation of electronic resources. In this paper it was examined the roles and problems inherent in the electronic journals usage statistics, and then the quality of electronic journal usage reporting services provided by several publishers were evaluated, following the ICOLC and COUNTER guidelines. To apply the usage statistics of electronic journal on the library collection development, it is necessary that libraries, related association and publishers accomplish more consistent and practical usage statistics components. And it is recommended that publisher and aggregator accommodate the guideline for electronic journal usage report.

Suicide Prevention Strategy by Restricting Access to Suicide Methods in Korea (한국에서 자살방법 접근 제한을 통한 자살예방전략)

  • Hong, Jin-Pyo;Park, Su-Bin;Choi, Soon-Ho;Lee, Soo-Jung;Park, Jong-Ik;Ha, Kyoo-Seob
    • Anxiety and mood
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    • v.8 no.1
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    • pp.41-49
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    • 2012
  • Introduction : Suicide in Korea has increased to 31.2 persons per 100,000 population, the world's highest level. Suicide is the 10th leading cause of death in the world, but in Korea, it is 4th leading cause of death. Therefore suicide is a serious problem in Korea. Many suicide prevention strategies have been proposed. Despite efforts to prevent suicides in Korea, a steady increases in the number of suicides has been brought into question the effectiveness of suicide prevention activities in Korea. Methods : Strategy of restricting suicide methods in many countries was reviewed. Systematic approach to restrict suicidal methods in Korea is proposed. Results : Restricting suicide methods is one of the effective suicide prevention strategies employed in the UK and other countries. Since many suicides occur impulsively, suicide attempt lethality is an important factor in determining the rate of deaths in suicidal attempts. Physical restriction of suicide methods is important in preventing suicide, but restriction of cognitive access to information about suicide and suicide method is more important in preventing suicide. In particular hanging is one of the most common methods of suicides in Korea, it is crucial to develop strategies to prevent suicide by hanging cognitively. Also information about suicide should be properly controlled. To do this, suicide news reporting guidelines should be observed, and website makers whose websites provoke thoughts about suicide should be more strictly sanctioned. Conclusion : Restricting suicide methods along with other suicide prevention plans may be the most effective way to prevent suicide in Korea.

Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: A systematic review

  • Musri, Nabilla;Christie, Brenda;Ichwan, Solachuddin Jauhari Arief;Cahyanto, Arief
    • Imaging Science in Dentistry
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    • v.51 no.3
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    • pp.237-242
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    • 2021
  • Purpose: The aim of this study was to analyse and review deep learning convolutional neural networks for detecting and diagnosing early-stage dental caries on periapical radiographs. Materials and Methods: In order to conduct this review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) guidelines were followed. Studies published from 2015 to 2021 under the keywords(deep convolutional neural network) AND (caries), (deep learning caries) AND (convolutional neural network) AND (caries) were systematically reviewed. Results: When dental caries is improperly diagnosed, the lesion may eventually invade the enamel, dentin, and pulp tissue, leading to loss of tooth function. Rapid and precise detection and diagnosis are vital for implementing appropriate prevention and treatment of dental caries. Radiography and intraoral images are considered to play a vital role in detecting dental caries; nevertheless, studies have shown that 20% of suspicious areas are mistakenly diagnosed as dental caries using this technique; hence, diagnosis via radiography alone without an objective assessment is inaccurate. Identifying caries with a deep convolutional neural network-based detector enables the operator to distinguish changes in the location and morphological features of dental caries lesions. Deep learning algorithms have broader and more profound layers and are continually being developed, remarkably enhancing their precision in detecting and segmenting objects. Conclusion: Clinical applications of deep learning convolutional neural networks in the dental field have shown significant accuracy in detecting and diagnosing dental caries, and these models hold promise in supporting dental practitioners to improve patient outcomes.

MicroRNAs and periodontal disease: a qualitative systematic review of human studies

  • Mico-Martinez, Pablo;Alminana-Pastor, Pedro J.;Alpiste-Illueca, Francisco;Lopez-Roldan, Andres
    • Journal of Periodontal and Implant Science
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    • v.51 no.6
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    • pp.386-397
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    • 2021
  • Purpose: MicroRNAs (miRNAs) are epigenetic post-transcriptional regulators that modulate gene expression and have been identified as biomarkers for several diseases, including cancer. This study aimed to systematically review the relationship between miRNAs and periodontal disease in humans, and to evaluate the potential of miRNAs as diagnostic and prognostic biomarkers of disease. Methods: The review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (reference number CRD42020180683). The MEDLINE, Scopus, Cochrane Library, Embase, Web of Science, and SciELO databases were searched for clinical studies conducted in humans investigating periodontal diseases and miRNAs. Expression levels of miRNAs across the different groups were analysed using the collected data. Results: A total of 1,299 references were identified in the initial literature search, and 23 articles were finally included in the review. The study designs were heterogeneous, which prevented a meta-analysis of the data. Most of the studies compared miRNA expression levels between patients with periodontitis and healthy controls. The most widely researched miRNA in periodontal diseases was miR-146a. Most studies reported higher expression levels of miR-146a in patients with periodontitis than in healthy controls. In addition, many studies also focused on identifying target genes of the differentially expressed miRNAs that were significantly related to periodontal inflammation. Conclusions: The results of the studies that we analysed are promising, but diagnostic tests are needed to confirm the use of miRNAs as biomarkers to monitor and aid in the early diagnosis of periodontitis in clinical practice.

A Systematic Review and Meta-Analysis of Randomized Controlled Trials on Chuna Manual Therapy for Cervicogenic Headache

  • Lee, Dong-Wha;Kim, Ju-Young;Hong, Min-Ho;Koo, Byung-Soo;Kim, Geun-Woo
    • Journal of Oriental Neuropsychiatry
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    • v.30 no.2
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    • pp.89-105
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    • 2019
  • Objectives: We conducted this study to evaluate the efficacy of Chuna Manual Therapy (CMT) for treatment of cervicogenic headache (CeH) through systematic review and Meta-analysis of randomized controlled trials (RCTs) as a preceding research to further research the effective of Chuna Manual Therapy for patients who suffered from CeH. Methods: We conducted a systematic review and meta-analysis by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched the studies from MEDLINE, Elsevier-EMBASE, The Cochrane Library, CAJD, KISS, KMBase, Korean Traditional Knowledge Portal, NDSL, and OASIS. The studies selected only in randomized controlled trials. We selected the chosen studies by the selection and the exclusion criteria, and evaluated the quality of the selected studies using the Jadad score and the Cochran ROB tool. We used the Visual Analogue Scale score (VAS) and Clinical total Effective Rate (CER) for the results and analyzed the results of the included studies using RevMan 5.3 software provided by the Cochran library. Results: We included 20 RCTs, including 1,673 subjects, in the systematic review and meta-analysis. After the intervention, the CMT group showed better results than the pharmacotherapy group, the physiotherapy group, and the combined treatment group. The CMT group showed a good effect on the CER and the VAS but showed a significant heterogeneity compared to the pharmacotherapy group. Conclusions: The CMT as monotherapy might have benefits on Cervicogenic Headache patient. Further well-designed studies need to be conducted.