• 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.

• Clinical and Experimental Pediatrics
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• v.64 no.7
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• pp.341-346
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• 2021

Background: The results differ among published studies regarding exposure to meconium and the risk of developing autism spectrum disorders (ASDs). Purpose: The present study pooled all of the epidemiologic studies retrieved from broader databases on the association between meconium exposure and risk of developing ASD in children. Methods: The Web of Science, PubMed, Scopus, and Google Scholar databases were searched without language restrictions for articles published between their inception to February 20, 2020, using relevant keywords. The pooled odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated as random-effect estimates of the associations among studies. A subgroup analysis was conducted to explore any potential sources of heterogeneity among studies. Results: The pooled estimate of OR reported a weakly significant association between meconium exposure and ASD development in children (OR, 1.13; 95% CI, 1.03-1.24). There was low heterogeneity among the articles reporting risk for ASD among children (I²=19.3%; P=0.259). The results of subgroup analysis based on meconium exposure showed a significant association between a meconium-stained neonate and ASD development (OR, 1.18; 95% CI, 1.11-1.24). Couclusion: Meconium exposure was weakly associated with an increased risk of ASD. However, more evidence based on large prospective cohort studies is required to provide conclusive evidence about whether meconium exposure is associated with an increased risk of ASD development.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.2
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• pp.75-91
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• 2021

Purpose: The purpose of this article is to clearly describe research trends on health life expectancy using oral health indicators that have been published from 2010 to 2020 then suggest the direction of future research. Methods: Online academic databases in English (PubMed, Web of Science and Embase) were used to find those articles by applying a variety of keywords, including terms (adjusted life year, adjusted life expectancy, dental and oral). We identified relevant articles based on the following classification method of Mathers: (1) health gaps, (2) health expectancies. Results: Among 1,728 articles from the online databases, the final 13 studies satisfied the inclusion criteria and were selected for analysis. Health life expectancy studies indicate that research growth was recently achieved overseas. Among the literature collected in this study, 10 studies using health gap indicators yielded seven Disability-Adjusted Life Year (DALY), and three calculated Quality-Adjusted Life Year (QALY), which differed in the nature of the survey data used in the study measuring DALY and QALY. There are only three health expectancies and the number of papers were smaller than the health gap study. Conclusion: Establishing a foundation to calculate health life expectancy indicators through the development and improvement of oral health level are needed. More studies in the area of health life expectancy estimation research is based on actual prevalence and oral health-related quality of life are also needed.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.406-412
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• 2022

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

• Journal of Dental Anesthesia and Pain Medicine
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• v.21 no.6
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• pp.479-506
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• 2021

Background: Chronic neuropathic pain (NP) presents therapeutic challenges. Interest in the use of cannabis-based medications has outpaced the knowledge of its efficacy and safety in treating NP. The objective of this review was to evaluate the effectiveness of cannabis-based medications in individuals with chronic NP. Methods: Randomized placebo-controlled trials using tetrahydrocannabinol (THC), cannabidiol (CBD), cannabidivarin (CBDV), or synthetic cannabinoids for NP treatment were included. The MEDLINE, Cochrane Library, EMBASE, and Web of Science databases were examined. The primary outcome was the NP intensity. The risk of bias analysis was based on the Cochrane handbook. Results: The search of databases up to 2/1/2021 yielded 379 records with 17 RCTs included (861 patients with NP). Meta-analysis showed that there was a significant reduction in pain intensity for THC/CBD by -6.624 units (P < .001), THC by -8.681 units (P < .001), and dronabinol by -6.0 units (P = .008) compared to placebo on a 0-100 scale. CBD, CBDV, and CT-3 showed no significant differences. Patients taking THC/CBD were 1.756 times more likely to achieve a 30% reduction in pain (P = .008) and 1.422 times more likely to achieve a 50% reduction (P = .37) than placebo. Patients receiving THC had a 21% higher improvement in pain intensity (P = .005) and were 1.855 times more likely to achieve a 30% reduction in pain than placebo (P < .001). Conclusion: Although THC and THC/CBD interventions provided a significant improvement in pain intensity and were more likely to provide a 30% reduction in pain, the evidence was of moderate-to-low quality. Further research is needed for CBD, dronabinol, CT-3, and CBDV.

• The Journal of Korean Medicine
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• v.43 no.2
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• pp.75-91
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• 2022

Objectives: The purpose of this overview was to summarize the evidence regarding the effectiveness of Cognitive Behavioral Therapy (CBT) for sleep disorders through systematic reviews (SRs) and meta-analyses (MAs). Methods: An overview of systematic review was conducted according to the study protocol (reviewregistry1320). A comprehensive literature search was performed using three databases (Pubmed, Cochrane Central Register of Controlled Trials, and Web of Science) and three Korean databases (KoreaMed, KMbase, and ScienceON). Final studies were selected by three authors according to inclusion and exclusion criteria, and data needed for analysis were extracted by a pre-planned extraction framework. Methodological quality of systematic review was assessed using the 'Assessment of multiple systematic reviews 2 (AMSTAR2)'. Results: Fourteen SRs and MAs were included, of which eleven SRs were performed MAs. Twelve studies studied insomnia among sleep disorders, and the rest are nightmares and sleep disturbances with PTSD. Ten studies reported the effect of CBT on sleep disorders measured by insomnia severity index (ISI) and sleep onset latency (SOL), and all reported a significant improvement effect. Eight studies reported the effect of CBT on sleep disorders measured by wake time after sleep onset (WASO), and seven studies reported a significant improvement effect. The methodological quality of the studies evaluated with AMSTAR 2 was mainly low or very low because of omission of protocol registration and excluded study list. Conclusions: Practical guidelines and studies show that CBT is effective for sleep disorders, but access to CBT needs to be improved.

• Journal of Physiology & Pathology in Korean Medicine
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• v.36 no.6
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• pp.213-220
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• 2022

We investigated the current status of research using extracorporeal shock waves on the basis of meridian and acupoint theory. By March 2022, five foreign databases (CAJ, Pubmed, Web of Science, EMBASE, Cochrane Library) and six Korean databases (Dbpia, RISS, KMBASE, scienceON, KISS, NDSL) were searched with the terms using 'Extracorporeal shock wave' and '(Acupoint or Acupuncture point)'. The search terms were adapted according to the language of the database. There were no restrictions on the study design. As a result of the search, twenty-seven papers were selected for analysis. One study was searched in English database, and the remaining twenty-six studies were searched in Chinese database. There were nineteen pain-related diseases, four obsterics and gynecology diseases, two bone-related diseases, and two other diseases. The most frequently used acupoints were GB34, ST36, and KI3. A total of six adverse events were reported in five papers. The use of extracorporeal shock wave on the basis of meridian and acupoint theory is considered to have sufficient meaning in Korean Medicine. It is expected to use extracorporeal shock wave as a new treatment method for Korean Medicine doctors in the near future.

• Journal of Environmental Health Sciences
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• v.49 no.1
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• pp.11-21
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• 2023

Background: The need to develop alternative chemicals is increasing worldwide due to the strengthening of global chemical regulations and consumer safety awareness in the marketplace. Objectives: We aimed to review domestic and foreign technology trends for exploring alternative candidate algorithms that can be used to develop safer alternatives to strengthen global market competitiveness and protect public health in the future. Methods: We searched the current status of research trends, companies related to the development of alternative chemicals in domestic and foreign countries. For this, we referred to research papers and websites by companies and institutes related to such alternatives. Results: Among the domestic and foreign research trends, more studies in South Korea were focused on predicting molecular-based physicochemical properties and toxicity than were reporting on research exploring alternative candidates. Three web-based databases and six tools were being developed. More studies in other countries predicted information to consider in alternative development than reported on research exploring alternative candidates, and four web-based databases and three tools were being developed. Among the companies related to the development of alternative chemicals, 286 alternatives classified as 'EVALUATED ALTERNATIVE' in MARKETPLACE accounted for the most significant proportion in Europe on a continent basis, and the largest number in the United States (US) on a national basis. In South Korea, only significant companies were registered. Conclusions: In this study, it was found to be necessary to provide public technology support platforms to explore alternative candidates considering various aspects in order to support alternative development. In conclusion, exploring alternative candidate algorithms could contribute to the response to the global trends in the chemical industry and to supporting companies and researchers developing safer alternatives in the future.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1063-1072
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• 2004

In the ASP(Application Service Provider) business, applications using database sometimes require some data from clients' databases. These days such data are extracted from client database using manual database operations as an EXCEL file and the ASP, once receiving this file, transfers it into the application's database using manual database operations. This paper describes how to deal with data transmitting between the client database and ASP database on the web without using database manual operations for data extraction and insertion. We propose a framework which enables to transmit client data in a systematical way, to match different attribute names of each database for sharing same attribute values, and to avoid exposing information about the network path of client database to the ASP. This approach consists of two steps of data processing. The first is extracting data from client database as XML format by using a downloaded client program from ASP site, the second is uploading and storing the XML file into the ASP database. The implemented prototype system shows the suggested data integration paradigm is valid and ASP business needing integration of client database can be activated using it.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.153-177
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• 2020

In the context of open science, data sharing and reuse are becoming important researchers' activities. Among the discussions about data sharing and reuse, data journals and data papers shows visible results. Data journals are published in many academic fields, and the number of papers is increasing. Unlike the data itself, data papers contain activities that cite and receive citations, thus creating their own intellectual structures. This study analyzed 14 data journals indexed by Web of Science, 6,086 data papers and 84,908 cited references to examine the intellectual structure of data journals and data papers in academic community. Along with the author's details, the co-citation analysis and bibliographic coupling analysis were visualized in network to identify the detailed subject areas. The results of the analysis show that the frequent authors, affiliated institutions, and countries are different from that of traditional journal papers. These results can be interpreted as mainly because the authors who can easily produce data publish data papers. In both co-citation and bibliographic analysis, analytical tools, databases, and genome composition were the main subtopic areas. The co-citation analysis resulted in nine clusters, with specific subject areas being water quality and climate. The bibliographic analysis consisted of a total of 27 components, and detailed subject areas such as ocean and atmosphere were identified in addition to water quality and climate. Notably, the subject areas of the social sciences have also emerged.