• Title/Summary/Keyword: frequent convergence

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Effect of Field Size on the Clinical Exposure Index for Lumbar Spine X-ray Examination (노출지수를 이용한 요추 X선 촬영의 조사야 유효성 평가)

  • Park, Hyemin;Yoon, Yongsu;Kim, Jungsu;Jeong, Hoiwoun
    • Journal of radiological science and technology
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    • v.44 no.3
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    • pp.183-187
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    • 2021
  • The field size of the lumbar spine X-ray examination, which belongs to the most frequent examination in general radiography, is 5 times wider than the width of the lumbar spine. Exposure index (EI) as per International Electrotechnical Commission has a proportional relationship with the dose incident on the image receptor for clinical protocols in addition to RQA5, which is a calibration beam quality. In this study, the effectiveness of the set field size was evaluated through the change of EI according to the size of field during lumbar spine X-ray examinations. Lumbar anterior-posterior and lateral examinations was performed using a whole-body phantom, and the national average exposure conditions of Korea investigated in 2017 were introduced for the X-ray exposure. As a result of comparing the EI displayed on the console of digital radiography system for the three field size in ① 18 × 36 cm2 ② 25 × 36 cm2 ③ 36 × 36 cm2, the EI values showed a tendency to increase as the field size increased. Since the patient dose, such as organ dose around the lumbar spine, increases as the field size becomes larger, thus, if the EI obtained from the field size at a level that does not interfere with diagnosis is set as a reference, the effectiveness of the field size can be evaluated through the EI displayed on the console when the lumbar spine X-ray examination is conducted.

Secondary Analysis on Pressure Injury in Intensive Care Units

  • Hyun, Sookyung
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.145-150
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    • 2021
  • Patients with Pressure injuries (PIs) may have pain and discomfort, which results in poorer patient outcomes and additional cost for treatment. This study was a part of larger research project that aimed at prediction modeling using a big data. The purpose of this study were to describe the characteristics of patients with PI in critical care; and to explore comorbidity and diagnostic and interventive procedures that have been done for patients in critical care. This is a secondary data analysis. Data were retrieved from a large clinical database, MIMIC-III Clinical database. The number of unique patients with PI was 2,286 in total. Approximately 60% were male and 68.4% were White. Among the patients, 9.9% were dead. In term of discharge disposition, 56.2% (33.9% Home, 22.3% Home Health Care) where as 32.3% were transferred to another institutions. The rest of them were hospice (0.8%), left against medical advice (0.7%), and others (0.2%). The top three most frequently co-existing kinds of diseases were Hypertension, not otherwise specified (NOS), congestive heart failure NOS, and Acute kidney failure NOS. The number of patients with PI who have one or more procedures was 2,169 (94.9%). The number of unique procedures was 981. The top three most frequent procedures were 'Venous catheterization, not elsewhere classified,' and 'Enteral infusion of concentrated nutritional substances.' Patient with a greater number of comorbid conditions were likely to have longer length of ICU stay (r=.452, p<.001). In addition, patient with a greater number of procedures that were performed during the admission were strongly tend to stay longer in hospital (r=.729, p<.001). Therefore, prospective studies focusing on comorbidity; and diagnostic and preventive procedures are needed in the prediction modeling of pressure injury development in ICU patients.

Preference Factors of the Korean MZ Generation vis-à-vis the Online Programs of Museums Abroad (비대면 시대 해외 뮤지엄의 온라인 프로그램에 대한 한국 MZ 세대의 선호요인 연구)

  • Kwak, Song-Bi;Kwon, Cheeyun
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.565-573
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    • 2022
  • This study aims to analyze the preference factors of the Korean MZ generation with regards to the online programs developed by museums abroad during the COVID-19 pandemic. World renown museums such as the British Museum, the National Gallery of London, Van Gogh Museum, J. Paul Getty Museum, Hasting Contemporary, Uffizi Gallery, and the Guggenheim Museum tackled the social-distancing situation with various creative online programs and events to continue their role as socially relevant institutions. Ten acclaimed programs conducted by these museums were shown to the Korean MZ generation, the most digitally savvy and frequent visitors to museums, to extract their responses to the various types of programs. The study showed that the Korean MZ generation prefer online programs which most closely reflect the onsite experience of a museum, and online contents with educational elements.

The Influence of Work Delivery using SNS out of Duty Hours on Job Performance (업무시간 외 SNS를 통해 업무전달이 직무성과에 미치는 영향)

  • Cui, Hang-Hang;Kwon, Hyeok-Gi
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.107-116
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    • 2022
  • In the Chinese workplace, the use of SNS such as Wechat and QQ for work delivery out of duty hours has become a very common phenomenon, which is also known as the "new night shift". This study is to empirically analyze the effect of work delivery using SNS out of duty hours on job performance. A questionnaire survey was conducted with 310 Chinese workplace employees. In order to verify the hypothesis, structural equation model analysis will be implemented. Analyzing the questionnaire data and receiving frequent work delivery using SNS out of duty hours will increase job stress, aggravate the conflicts between work and family, and lead to the decrease of job engagement and job performance. The study provides implications for the establishment of related theories by providing a different view form previous research results that work delivery using SNS out of duty hours will definitely improve job performance. In addition, in future studies, it will be necessary to analyze the effect of the moderating effect in converging these conflicting views.

A Study on the Spatial Expression Characteristics of Philippe Starck from the Perspective of Heterotopia (헤테로토피아 관점에서 본 필립스탁의 공간표현 특성 연구)

  • Seo, Su-Mi
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.375-381
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    • 2022
  • The purpose of this study is to find out the spatial expression characteristics of Philipstock from a heterotopic perspective in the background of the times of modern people struggling to live in the era of an infectious disease called COVID-19 along with the era of the 4th industrial revolution. As for the research method, a total of 11 places were selected, focusing on the completed works of interior space from 2015 to the present, when they are more active after retirement, to find out the characteristics of spatial expression through literature and case studies. As a result, the spatial expression characteristics of narrative that only space has were the most frequent, and it was found that the characteristics of imaginary space and fantasy, which are the form of overlapping time to express a place, were interrelated. Philip Stock's design method, which uses narrative, fantasy, and imaginary spatial characteristics, can be seen as sufficiently representing heterotopic characteristics and can be used as another design methodology when designing a new space.

A Keyword Network Analysis of Standard Medical Terminology for Musculoskeletal System Using Big Data (빅데이터를 활용한 근골격계 표준의료용어에 대한 키워드 네트워크 분석)

  • Choi, Byung-Kwan;Choi, Eun-A;Nam, Moon-Hee
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.681-693
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    • 2022
  • The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.

Instructional Innovation Using e-PBL (e-PBL을 적용한 수업혁신)

  • Kwon, Hyuk-il
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.241-249
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    • 2022
  • This study intended to explore the instructional effects of e-PBL which means an expansion of availability of PBL using technology. To achieve the goal of this study, a major selective subject was redesigned systematically so that e-PBL activities could be implemented for 4-weeks during the entire semester. Participants' reactions to the e-PBL experience during the experiment period were collected and analyzed. Results of analysis showed that participants could overcome the difficulties and frustrations at an early stage, adapted and assimilated to the e-PBL based instructional environment progressively, and satisfied at the e-PBL activity experiences in overall. They participated in solving the authentic problems with ownership and could solve them effectively and efficiently through frequent communication and collaboration with teammates. Results of this study showed the possibility of instructional innovation of a teacher development institute through e-PBL. Follow-up studies which extend the analyses of the effects of e-PBL based on this study are necessary to additionally verify the effects of e-PBL.

Lexical Sophistication Features to Distinguish the English Proficiency Level Using a Discriminant Function Analysis (판별분석을 통해 살펴본 영어 능력 수준을 구별하는 어휘의 정교화 특성)

  • Lee, Young-Ju
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.691-696
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    • 2022
  • This study explored the lexical sophistication features to distinguish the group membership of English proficiency, using the automatic analysis program of lexical sophistication. A total of 600 essays written by 300 Korean college students were extracted from the ICNALE (International Corpus Network of Asian Learners of English) corpus and a discriminant function analysis was performed using SPSS program. Results showed that the lexical features to distinguish three groups of English proficiency are SUBTLEXUS frequency content words, age of acquisition content words, lexical decision mean reaction time function words, and hypernymy verbs. High-level Korean students used frequent content words from SUBTLEXUS corpus to a lesser degree and produced more sophisticated words that can be learned at a later age and take longer reaction time in lexical decision task, and more concrete verbs.

A Study on the Safety Management of Vulnerable Workers in the Construction Site by Importance Performance Analysis (IPA) (IPA분석을 통한 건설현장 취약근로자 안전관리에 관한 연구)

  • Lee, Munho;Yoon, Younggeun;Oh, Taekeun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.723-728
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    • 2022
  • Most accidents at construction sites are occurring in vulnerable groups such as new workers, foreign workers, and elderly workers. These vulnerable workers often lead to accidents due to the lack of awareness of risks. Therefore, in order to reduce accidents, it is necessary to pay attention to and manage vulnerable workers. This study attempted to identify the level of safety awareness and safety management priorities for vulnerable workers through IPA analysis. New workers should be able to adapt to the field as soon as possible, and foreign workers were found to need frequent check-ups due to language communication problems. In the case of older workers, it was analyzed that it was necessary to check their health and to check whether they were performing other tasks than the prescribed ones.

A Study on the Meaning of The First Slam Dunk Based on Text Mining and Semantic Network Analysis

  • Kyung-Won Byun
    • International journal of advanced smart convergence
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    • v.12 no.1
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    • pp.164-172
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    • 2023
  • In this study, we identify the recognition of 'The First Slam Dunk', which is gaining popularity as a sports-based cartoon through big data analysis of social media channels, and provide basic data for the development and development of various contents in the sports industry. Social media channels collected detailed social big data from news provided on Naver and Google sites. Data were collected from January 1, 2023 to February 15, 2023, referring to the release date of 'The First Slam Dunk' in Korea. The collected data were 2,106 Naver news data, and 1,019 Google news data were collected. TF and TF-IDF were analyzed through text mining for these data. Through this, semantic network analysis was conducted for 60 keywords. Big data analysis programs such as Textom and UCINET were used for social big data analysis, and NetDraw was used for visualization. As a result of the study, the keyword with the high frequency in relation to the subject in consideration of TF and TF-IDF appeared 4,079 times as 'The First Slam Dunk' was the keyword with the high frequency among the frequent keywords. Next are 'Slam Dunk', 'Movie', 'Premiere', 'Animation', 'Audience', and 'Box-Office'. Based on these results, 60 high-frequency appearing keywords were extracted. After that, semantic metrics and centrality analysis were conducted. Finally, a total of 6 clusters(competing movie, cartoon, passion, premiere, attention, Box-Office) were formed through CONCOR analysis. Based on this analysis of the semantic network of 'The First Slam Dunk', basic data on the development plan of sports content were provided.