• Journal of The Korean Society of Integrative Medicine
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• v.12 no.3
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• pp.237-247
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• 2024

Purpose : This study aimed to systematically review the effectiveness of nursing interventions for patients receiving extracorporeal membrane oxygenation (ECMO). As the use of ECMO increases in critical care settings, it is important to understand how nursing interventions affect patient outcomes, survival, and complication rates. Methods : This systematic review followed the preferred reporting items for systematic reviews and meta-analysis guidelines. A literature search was performed using terms related to ECMO and nursing interventions in several international electronic databases including CINAHL, Embase, MEDLINE, and Web of Science. Studies were screened and selected according to predefined eligibility criteria, focusing on those that evaluated the impact of nursing interventions on adult. Data extraction and risk-of-bias assessment were independently performed by two researchers. Results : A total of 647 studies were identified, and seven met the inclusion criteria for qualitative analysis. The included studies demonstrated that high-quality nursing care significantly improves clinical outcomes and reduces complications in patients receiving ECMO. Effective nursing interventions included prone positioning combined with ECMO for patients with acute respiratory distress syndrome, meticulous infection control, comprehensive and continuous nursing protocols, skilled nursing, and multidisciplinary management. These interventions have been shown to improve oxygenation, reduce complications, such as bleeding, manage blood pressure, and enhance overall clinical outcomes. Conclusion : High-quality nursing interventions are critical to improve survival and reduce complications in patients receiving ECMO. Implementing a multidisciplinary approach and comprehensive nursing protocols, including infection control and psychological support, is essential for the effective management of these patients. The findings of this study provide a foundation for the development of practical guidelines and educational programs to improve the quality of care for patients undergoing ECMO, ultimately enhancing the effectiveness of ECMO treatment and patient outcomes.

• Advances in concrete construction
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• v.17 no.2
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• pp.75-92
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• 2024

High Strength steel reinforced Reactive Powder Concrete (RPC) Beam is a new type of beams which has evident advantages than the conventional concrete beams. However, there is limited research on the shear bearing capacity of high-strength steel reinforced RPC structures, and there is a lack of theoretical support for structural design. In order to promote the application of high-strength steel reinforced RPC structures in engineering, it is necessary to select a shear model and derive applicable calculation methods. By considering the shear span ratio, steel fiber volume ratio, longitudinal reinforcement ratio, stirrup ratio, section shape, horizontal web reinforcement ratio, stirrup configuration angle and other variables in the shear test of 32 high-strength steel reinforced RPC beams, the applicability of three theoretical methods to the shear bearing capacity of high-strength steel reinforced RPC beams was explored. The plasticity theory adopts the RPC200 biaxial failure criterion, establishes an equilibrium equation based on the principle of virtual work, and derives the calculation formula for the shear bearing capacity of high-strength steel reinforced RPC beams; Based on the Strut and Tie Theory, considering the softening phenomenon of RPC, a failure criterion is established, and the balance equation and deformation coordination condition of the combined force are combined to derive the calculation formula for the shear bearing capacity of high-strength reinforced RPC beams; Based on the Rankine theory and Rankine failure criterion, taking into account the influence of size effects, a calculation formula for the shear bearing capacity of high-strength reinforced RPC beams is derived. Experimental data is used for verification, and the results are in good agreement with a small coefficient of variation.

• Journal of Periodontal and Implant Science
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• v.54 no.4
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• pp.224-235
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• 2024

Purpose: This systematic review investigated whether drug use is associated with the presence of oral lesions and periodontitis. Methods: A search was performed for studies that analyzed the presence of periodontitis and/or oral lesions in users of crack, cocaine, and/or marijuana in the PubMed, Scopus, and Web of Science databases. Observational studies in English, Spanish, or Portuguese, without limitation of year, age, and sex, were included. Studies that did not evaluate periodontitis and oral lesions according to the eligibility criteria were excluded. Two authors independently performed study selection and data extraction using a standardized form. The risk of bias of studies included in the meta-analysis was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. The meta-analysis included studies that investigated the association of drug use with the outcome. Results: The initial search resulted in 9,279 articles, from which 16 studies with 15,434 participants were included in the review and 8 studies were included in the meta-analysis. Most studies that evaluated periodontitis in drug users and non-users found a positive association in users. Most studies that analyzed oral lesions reported a higher prevalence, association, or risk of oral lesions in drug users than in non-users. A critical evaluation identified a need to improve the control and reporting of confounding factors in studies on this topic. An association was found between periodontitis and the use of crack, cocaine, and/or marijuana (odds ratio [OR], 1.84; 95% confidence interval [CI], 1.04-3.27; P=0.04) and between oral lesions and the use of these drugs (OR, 2.13; 95% CI, 1.58-2.86; P<0.001). Conclusions: Drug users are more likely to develop oral lesions and periodontitis than nonusers. However, the results should be interpreted with caution, considering the heterogeneity and quality of the studies included in the analysis.

• Restorative Dentistry and Endodontics
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• v.49 no.3
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• pp.29.1-29.11
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• 2024

This study aimed to identify and analyze articles on enamel microabrasion for the treatment of white spot lesions. A search was conducted on the Web of Science. The following parameters were recorded and analyzed: number of citations, year, journal, impact factor, study design, theme, country and continent, institution, authors, and keywords. Data was analyzed using VOSviewer software. The initial search resulted in 1,126 documents, of which 94 articles were included. The highest number of citations an article received was 65. The oldest article was published in 1975, and the most recent in 2023. The most frequent study design was case report (n = 42). Regarding the themes, it was observed that the main objective of the studies was to evaluate the clinical performance of enamel microabrasion (n = 75), primarily using Opalustre (Ultradent Products Inc., South Jordan, UT, USA) (n = 37) for treating white stains caused by dental fluorosis (n = 41). Most articles originated from Latin America (n = 31), mainly from Brazil (n = 26). The most frequent author was Sundfeld RH (n = 10). This study reveals research trends in the field of enamel microabrasion. The publications were mainly case reports/series using Opalustre for the removal of fluorosis stains.

• Safety and Health at Work
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• v.15 no.3
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• pp.245-254
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• 2024

Background: In recent years, the rise of workplace racial discrimination and microaggressions has decreased the efficiency and productivity of organizations and institutions, and realization of organizational goals globally. Accordingly, it was decided to conduct a systematic review and meta-analysis in the present study with the aim of investigating the prevalence of microaggression and racial discrimination in the workplace. Methods: The PubMed, Scopus, Web of Science, ScienceDirect and Google Scholar databases were systematically searched for studies that had reported the effects of work stress among managers. The search did include a lower time limit and was conducted in June 2023. The heterogeneity of the studies was investigated using the I² index, and accordingly random effects method was adopted for meta-analysis. Data analysis was conducted with the Comprehensive Meta-Analysis (v.2) software. Results: In the review of seven studies with a sample size of 2998 people, the overall prevalence of microaggression and racial discrimination in the workplace was found to be 73.6% and 18.8%, respectively. Publication bias within the selected studies was examined with the Egger's test, which indicated the absence of publication bias for the pooled prevalence of workplace microaggression (p: 0.264) and for the pooled prevalence of workplace racial discrimination (p: 0.061). Conclusion: The results obtained from this report indicate the high impact of micro-aggression and racial discrimination in the workplace. Considering the negative effects of such behaviours, the findings from this study will be helpful to managers and health policymakers.

• Journal of Web Engineering
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• v.21 no.5
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• pp.1377-1418
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• 2022

As it has been recently proven that the public key-based RSA algorithms that are currently used in encryption can be unlocked by Shor's algorithm of quantum computers in a short time, conventional security systems are facing new threats, and accordingly, studies have been actively conducted on new security systems. They are classified into two typical methods: Post Quantum Cryptography (PQC) and Quantum Key Distribution (QKD). PQC aims to design conventional cryptography systems in a more robust way so that they will not be decrypted by a quantum computer in a short time whereas QKD aims to make data tapping and interception physically impossible by using quantum mechanical characteristics. In this paper, we design a quantum key management system, which is most crucial for constructing a QKD network and analyze the design requirements to apply them to Korea Research Environment Open NETwork (KREONET). The quantum key management system not only manages the lifecycle, such as storage, management, derivation, allocation, and deletion of the symmetric key generated in QKD but also enables many-to-many communication in QKD communication based on the key relay function and P2P communication to overcome the limitation of distance, which is a disadvantage of QKD. We have validated the designed quantum key management system through simulations to supplement the parts that were not considered during the initial design.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.5
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• pp.959-966
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• 2024

Recently, various IoT devices are being developed to suit the user's lifestyle in our daily lives. In this paper, a smart coffee machine using IoT technology was implemented through an application and an ESP-01 WiFi module. The implemented smart coffee machine is different from existing coffee machines with alarm functions in that it can manage the desired date and time with an application by combining IoT. The application uses Android Studio to input data and transmits appropriate information to the smart coffee machine. An Arduino-based circuit was configured to control the coffee machine and MP3 module so that coffee is extracted at the desired time and an alarm sound is heard through the speaker. The extracted coffee can be divided into three stages: hot, warm, and lukewarm depending on the temperature. Finally, the suitability of the implemented smart coffee machine was confirmed through an experiment on the change in coffee temperature according to the amount of water and time.

• Journal of School Social Work
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• v.46
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• pp.167-185
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• 2019

This study examines differences between children of multicultural families and those whose parents are native Koreans in terms of the risk of suicide, and how the differences vary depending on age. Analyses were performed using data from the Youth Health Risk Behavior Web-based Survey between 2011 and 2016. Results revealed that the risk of suicide among adolescents of multicultural families were positively associated with their age. But the positive association between suicidal risk and age was not significant among adolescents of native families. The findings of the current study imply that family type(multicultural family) and age have cumulative effects on the risk of suicide among adolescents.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.247-264
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• 2016

With the rapid acceleration of low-birth rate and population aging, the employment of the neglected groups of people including the middle aged class is a crucial issue in South Korea. In particular, in the 2010s, the number of the middle aged who want to find a new job after retirement age is significantly increasing with the arrival of the retirement time of the baby boom generation (born 1955-1963). Despite the importance of matching jobs to this emerging middle aged class, private job portals as well as the Korean government do not provide any online job service tailored for them. A gigantic amount of job information is available online; however, the current recruiting systems do not meet the demand of the middle aged class as their primary targets are young workers. We are in dire need of a specially designed recruiting system for the middle aged. Meanwhile, when users are searching the desired occupations on the Worknet website, provided by the Korean Ministry of Employment and Labor, users are experiencing discomfort to search for similar jobs because Worknet is providing filtered search results on the basis of exact matches of a preferred job code. Besides, according to our Worknet data analysis, only about 24% of job seekers had landed on a job position consistent with their initial preferred job code while the rest had landed on a position different from their initial preference. To improve the situation, particularly for the middle aged class, we investigate a soft job matching technique by performing the following: 1) we review a user behavior logs of Worknet, which is a public job recruiting system set up by the Korean government and point out key system design implications for the middle aged. Specifically, we analyze the job postings that include preferential tags for the middle aged in order to disclose what types of jobs are in favor of the middle aged; 2) we develope a new occupation classification scheme for the middle aged, Korea Occupation Classification for the Middle-aged (KOCM), based on the similarity between jobs by reorganizing and modifying a general occupation classification scheme. When viewed from the perspective of job placement, an occupation classification scheme is a way to connect the enterprises and job seekers and a basic mechanism for job placement. The key features of KOCM include establishing the Simple Labor category, which is the most requested category by enterprises; and 3) we design MOMA (Middle-aged Occupation Matching Algorithm), which is a hybrid job matching algorithm comprising constraint-based reasoning and case-based reasoning. MOMA incorporates KOCM to expand query to search similar jobs in the database. MOMA utilizes cosine similarity between user requirement and job posting to rank a set of postings in terms of preferred job code, salary, distance, and job type. The developed system using MOMA demonstrates about 20 times of improvement over the hard matching performance. In implementing the algorithm for a web-based application of recruiting system for the middle aged, we also considered the usability issue of making the system easier to use, which is especially important for this particular class of users. That is, we wanted to improve the usability of the system during the job search process for the middle aged users by asking to enter only a few simple and core pieces of information such as preferred job (job code), salary, and (allowable) distance to the working place, enabling the middle aged to find a job suitable to their needs efficiently. The Web site implemented with MOMA should be able to contribute to improving job search of the middle aged class. We also expect the overall approach to be applicable to other groups of people for the improvement of job matching results.