• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.220-229
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• 2021

This study aimed to evaluate the effect of music therapy on depression and rehabilitation-motivation provided to stroke patients, thus achieving evidence-based music therapy as a nursing intervention method for patients. Thirty-three people who were hospitalized for stroke diagnosis at K-Hospital were required to listen to 10 pre-selected songs for three days before bedtime. According to the general characteristics, the proportion of male participants (25, 75.8%) was higher than female (8, 24.2%), and by age group, 6(18.2%) were in 40s, 19(57.6%) were in 50s and 8(24.2%) were aged 60 or older. The study data were analyzed using Wilcoxon-signed rank test. As a result, music therapy does not affect depression and rehabilitation-motivation. However, it was shown to be effective in reducing depression in MMSE group 1 (≤ 29) with low cognitive levels. It is expected that this study can be used as an evidence for music therapy which can be applied as a way to increase the effectiveness of nursing intervention.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.127-137
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• 2021

This research studies the perception types of 119 rescue workers among emergency rescue department students, and was carried out to identify the types of perception of 119 rescue workers among firefighters and to prepare basic data to find out the characteristics of each type. As a result of analysis on the Q sample consisting of 27 statements by executing the Q UANL program on a total of 54 students from the Emergency rescue department, it is confirmed that there were 3 types, which accounted for 45% of the total variable. When looking at the explanatory power per type, it turned out: 32% for Type I; 6.7% for Type II; and 5.8% for Type III. Each type was named as follows: our Superman for Type I ; suffering hero for Type II ; and rescue expert for Type III. Overall, there were 119 rescue workers as follows : rescue workers in lexical meaning; and 119 rescue workers who were in difficult situations suffering from post-traumatic stress disorder and needed to be covered and protected by citizens. In addition, there was a perception of 119 rescue workers who were recognized as a specialist and carry out his/her lifesaving duties without a single mistake. Therefore, in order for 119 rescue workers to be recognized as a specialized field of rescue, a program in which 119 rescue workers can share various training and experiences must be provided and researched.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.145-152
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• 2022

Stroke results in balance disorders, these directly affect autonomy and gait ability. The aim of this meta-analysis was to determine the efficacy of proprioceptive neuromuscular facilitation on balance and gait. We included all randomized controlled trials assessing the efficacy of proprioceptive neuromuscular facilitation on balance and gait control in patients after stroke. This study was conducted according to the PRISMA guideline. Cochrane library, CINAHL, and PubMed were searched for studies published up to November 2021, and all randomized controlled trails(RCT) assessing PNF therapy were included. This analysis included only RCT. A total of 18 studies were selected from 1091 records obtained from the databases. The meta-analysis was performed using the R project for statistical computing version 4.0.2. The overall intervention effect was middle (standardized mean difference (SMD): 0.56) Additionally, berg balance scale (SMD: 0.48), functional reach test (SMD: 0.51), timed up and go test (SMD: 0.78), 10m walking test (SMD: 0.52), and dynamic gait index (SMD: 0.33) had medium effect sizes. The average Pedro scale was 6.63 out of 18, with a low risk of bias. These findings indicate that PNF is an effective therapy for improving balance gait in stroke patients.

• Korean Journal of Acupuncture
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• v.40 no.3
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• pp.79-89
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• 2023

Objectives : The purpose of this study is to investigate various application methods of focused ultrasound and apply them to clinical use in Korean medicine. Methods : Search was performed using the search engines of electronic databases, including PubMed, ScienceDirect, Cumulative Index to Nursing and Allied Health Literature (CINAHL), ScienceON, Oriental Medicine Advanced Searching Integrated System (OASIS), China National Knowledge Infrastructure (CNKI), Wanfang Data, Japan Science Technology Information Aggregator, Electronic (J-STAGE) and Citation Information by NII (CiNii), from inception to July 2023 without language limitation. Inclusion criteria were clinical studies including randomized controlled trials (RCTs), and animal experimental studies related with focused ultrasound treatments for acupoints or meridian sinews. Results : Total 17 papers, 7 for RCT, 6 for in vivo animal studies, and other experimental studies, were finally selected. Indications used in studies were shoulder pain, back pain, chronic back pain, and degenerative knee arthritis. In experimental studies, studies on animal models of hypoxic ischemic brain damage and hyperlipidemia were also conducted. As for the acupoints, LR3, LI4, and ST36 were used in clinical studies and, in animal experimental studies, GV20, KI1, and ST36 were used. As for the dose, 4 studies below 3 W/cm² and 3 studies in the range of 0.625 to 5 W/cm² in clinical studies, and all studies did not exceed 5 W/cm². In animal experimental studies, 0.5 W/cm², 2 W/cm², 7.5 WW/cm², 15 W/cm², 10~20 W/cm² were used. In all three studies describing the penetration depth during irradiation, it was less than 1 cm. Conclusions : We suggest that focused ultrasound is an appropriate treatment tool for stimulating the acupoints to transfer heat energy. Future studies with rigorous and well-designed RCTs for various diseases will be required to ascertain the focused ultrasound stimulate acupoints or meridian sinews.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.85-92
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• 2023

In this paper, we propose a method for automatically generating story-based abbreviated summaries from long-form dramas and movies. From the shooting stage, the basic premise was to compose a frame with illusion of depth considering the golden division as well as focus on the object of interest to focus the viewer's attention in terms of content delivery. To consider how to extract the appropriate frames for this purpose, we utilized elemental techniques that have been utilized in previous work on scene and shot detection, as well as work on identifying focus-related blur. After converting the videos shared on YouTube to frame-by-frame, we divided them into a entire frame and three partial regions for feature extraction, and calculated the results of applying Laplacian operator and FFT to each region to choose the FFT with relative consistency and robustness. By comparing the calculated values for the entire frame with the calculated values for the three regions, the target frames were selected based on the condition that relatively sharp regions could be identified. Based on the selected results, the final frames were extracted by combining the results of an offline change point detection method to ensure the continuity of the frames within the shot, and an edit decision list was constructed to produce an abbreviated summary of 62.77% of the footage with F1-Score of 75.9%

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.21-30
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• 2024

In this paper, we propose a method to build a sample dataset of the features of eight sensor-only facilities built as infrastructure for autonomous cooperative driving. The feature extracted from point cloud data acquired by LiDAR and build them into the sample dataset for recognizing the facilities. In order to build the dataset, eight sensor-only facilities with high-brightness reflector sheets and a sensor acquisition system were developed. To extract the features of facilities located within a certain measurement distance from the acquired point cloud data, a cylindrical projection method was applied to the extracted points after applying DBSCAN method for points and then a modified OTSU method for reflected intensity. Coordinates of 3D points, projected coordinates of 2D, and reflection intensity were set as the features of the facility, and the dataset was built along with labels. In order to check the effectiveness of the facility dataset built based on LiDAR data, a common CNN model was selected and tested after training, showing an accuracy of about 90% or more, confirming the possibility of facility recognition. Through continuous experiments, we will improve the feature extraction algorithm for building the proposed dataset and improve its performance, and develop a dedicated model for recognizing sensor-only facilities for autonomous cooperative driving.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.25-35
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• 2023

Background: In order to emphasize the importance of clinical dental hygienists-led dental hygiene management processes for those with systemic diseases, we tried to identify systemic diseases affecting dental implants based on clinical data. Methods: In order to identify systemic diseases affecting dental implants, literature review was conducted from March 1 to May 31, 2023, and the search period was for research papers published in domestic and foreign academic journals from January 2000 to December 2020. Domestic databases used for search use RISS, Nuri Media(DBpia), and Korea Academic Information (http://www.papersearch.net ; KISS), while overseas databases searched Pubmed for dental implant failures, implants, systemic diseases, and Dental implant and system disease. Results: The cumulative survival rate of implants averaged 94.3 percent and the failure rate was 5.7 percent. Clinical analysis of systemic diseases related to implants accounted for the highest frequency with 13 (100.0%), followed by 8 (61.5%) studies on high blood pressure and smoking, 7 (53.8%) cardiovascular diseases, and 5 (38.5%). In addition, liver disease, thyroid abnormalities, blood abnormalities, organ transplants and infectious diseases were confirmed. Conclusion: Since unregulated systemic diseases are a risk factor for implant failure, clinical dental hygienists should continue to maintain healthy oral conditions by sharing information with patients during periodic preventive dental hygiene management processes such as dental hygiene assessment.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.7
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• pp.970-975
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• 2009

The residual amount of 160 kinds of pesticide for multi-analysis methods were analyzed in Baechu cabbages throughout the year by GC/MS. We investigated the 160 kinds of pesticide residues in commercial Baechu cabbages monthly from October 2007 to September 2008. Over the 12 months, the residues were detected in the Baechu cabbages harvested and distributed only in July, August, October and November. The residual amounts were 0.01 ppm Bifenthrin, 0.04 ppm Chlorfenapyr, and 0.03 ppm Bifenthrin in July, October, and November, respectively, and 0.01 2 ppm Bifenthrin in August. All residues were below MRL. These results indicate that the commercial Baechu cabbages are comparatively safe from pesticide residues.

• Korean Journal of Food Science and Technology
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• v.43 no.1
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• pp.17-22
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• 2011

In this study, formaldehyde in various fisheries products was previously derivatized with acetylacetone and subsequently analyzed by using HPLC-PDA. The formaldehyde contents ranged from 0.07 to 73.74 mg/kg. The compound was significantly higher in both mollusks (0.34-12.38 mg/kg) and crustaceans (0.09-73.74 mg/kg) than in fish (0.07-3.35 mg/kg) and shellfish (0.50-3.90 mg/kg). This difference was due to storage time and temperature. In general, fish and shellfish are sold live or in refrigerated form with shorter a shelf-life, but mollusks and crustaceans are distributed in cold or frozen systems with a longer shelf-life. Using food intake data from a report of the National Health and Nutrition Survey, the daily human exposure level to formaldehyde was 0.58% of the ADI. The results from this study might provide fundamental information to confirm naturally-originating or fraudulent formaldehyde treatment in fisheries products.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.1-8
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• 2009

In this paper, we propose a home medical system that integrates a self-diagnosing disease classification system and a tele-consulting system by communication technology. The proposed disease classification system supports to self-diagnose the health condition based on oriental medical science using fuzzy neural network algorithm. The prepared database includes 72 different diseases and their associated symptoms based on a famous medical science book "Dong-eui-bo-gam". The proposed system extracts three most prospective diseases from user's symptoms by analyzing disease database with fuzzy neural network technology. Technically, user's symptoms are used as an input vector and the clustering algorithm based upon a fuzzy neural network is performed. The degree of fuzzy membership is computed for each probable cluster and the system infers the three most prospective diseases with their degree of membership. Such information should be sent to medical doctors via our tele-consulting system module. Finally a user can take an appropriate consultation via video images by a medical doctor. Oriental medical doctors verified the accuracy of disease diagnosing ability and the efficacy of overall system's plausibility in the real world.