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Role of Na-doping-induced oxygen vacancies in the variation of electrical properties of NiO ceramics
Yang, Seojin,Kim, Jiwoong,Song, Sehwan,Lee, Dooyong,Ju, Tae-Seong,Bae, Jong-Seong,Park, Sungkyun Elsevier 2017 CERAMICS INTERNATIONAL Vol.43 No.15
<P><B>Abstract</B></P> <P>Na-doping concentration dependent electrical and structural properties of NiO ceramics were investigated. Various samples of Na<SUB>x</SUB>Ni<SUB>1−x</SUB>O (x = 0.00, 0.01, 0.03, 0.05, 0.07, 0.09, 0.11) were prepared by using conventional solid state reaction. Most of the samples showed the decreased electrical resistivity with the increase of the Na-doping concentration while maintaining phase-pure face-centered cubic (fcc) structure, except in the case of the sample containing 11% of Na. For the sample containing 11% of Na, the electrical resistivity slightly increased due to the presence of secondary phase. The possible physical origin of this reduced electrical resistivity is related to the increased number of oxygen vacancies, with the increase of the Na-doping concentration for phase-pure Na<SUB>x</SUB>Ni<SUB>1−x</SUB>O ceramics.</P>
Ha SeoJin,Jang SuJin,Yang KwanWoo,Ro SeungHan 서울시립대학교 도시과학연구원 2020 도시과학국제저널 Vol.24 No.4
This study examines if quantitative spatial analysis techniques are methodologically suitable in terms of linking spatial characteristics with income-producing efficiency. Two methodologies, Space Syntax and Eigenvector Ratio of Adjacency Matrix (ERAM), were employed to conduct an empirical analysis of a retail outlet with a multi-storey structure. The first model is the integration value of Space Syntax and the second model is ERAM, which is a behaviourally developed version of Space Syntax. Thus, integration of Space Syntax, which calculates relative spatial depth, is found to not be significant to gross sales of stores, while ERAM value is found to be significant. By presenting methods to optimize space, this study contributed to how limited spaces of income-producing properties can be more efficiently used. The ERAM model yielded a value that is significant to gross sales of stores and could be used to estimate and further increase gross sales of stores when planning the inner spaces of income-producing properties.
Jang, Moonhee,Kim, Jihyun,Shin, Ilchung,Kang, Seojin,Choi, Hyeyoung,Yang, Wonkyung Elsevier 2019 Forensic Science International Vol.294 No.-
<P><B>Abstract</B></P> <P>Methylphenidate (MPH) is one of the most commonly prescribed stimulants for attention deficit hyperactivity disorder and its abuse is on the rise with its growing availability. Some analytical methods have been reported for the detection of MPH in hair. However, the concentration range of MPH as well as its metabolite, ritalinic acid (RA) in the hair of MPH abuse cases has not been reported. In this study, a sensitive and reliable liquid chromatography-tandem mass spectrometry method was developed and validated for the simultaneous determination of MPH and RA in hair. Sample preparation was carried out by a simple methanol extraction using 10mg of hair. Limits of detection for MPH and RA in hair were 0.5pg/mg and 1pg/mg, respectively, and the limits of quantification (LOQs) were 1pg/mg for both the analytes. Validation results showed good linearity in the range of 1–100pg/mg with acceptable precision and accuracy. The developed method was applied to real hair samples obtained from ten drug users who obtained MPH illegally without a prescription. MPH concentrations in the hair samples ranged from 1.0pg/mg to 265.0pg/mg, and RA was present at concentrations <LOQ–76.3pg/mg. In this study, hair analysis and background findings revealed that most subjects have abused illicit substances (methamphetamine, Δ<SUP>9</SUP>-tetrahydrocannabinol, zolpidem etc.) other than MPH. The low picogram range of LODs for MPH and RA in hair was achieved with the present method and the results from real sample analysis would provide useful information related to MPH abuse under forensic settings.</P> <P><B>Highlights</B></P> <P> <UL> <LI> An LC–MS/MS method was developed to document methylphenidate use in hair specimens. </LI> <LI> Target analytes were methylphenidate and its metabolite, ritalinic acid. </LI> <LI> A simple sample preparation was carried out with a small amount of sample. </LI> <LI> The method was successfully applied to authentic hair samples from methylphenidate abuse cases. </LI> </UL> </P> <P><B>Graphical Abstract</B></P> <P>[DISPLAY OMISSION]</P>
Kim Dohyeon,Park Kyeongyun,Lee Seojin,Kim Ju Sung,Kim Sung Hun,Kim Chankyu,Kim Haksoo,Jeong Jong Hwi,Shin Dong Ho,Lee Se Byeong,Suh Yang-Gun,Lim Young Kyung,Hwang Ui-Jung,Choi Sang Hyoun 한국물리학회 2024 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.85 No.3
In the recent study of proton therapy, the expectation of the normal tissue-sparing efect of the proton minibeam radiation therapy (pMBRT) using a multi-slit collimator (MSC) is increasing. We designed and conducted animal experiments to verify the sparing efect on normal tissues. Proton beam irradiation was carried out on two groups of mice except a control group (0 Gy). One group was irradiated with a conventional broad beam, and the other with a minibeam. A dose of 8.5 Gy was delivered to both femurs of mice in every group. In the pMBRT group, the survival rate of bone marrow cells was signifcantly improved as compared to the conventional broad beam group. The survival rate in the minibeam group was 2.5 times higher. In conclusion, the pMBRT has been strongly proven to have a superior tissue-sparing efect than the conventional broad beam.
Baek,Sun-Geun,Cho,Sijung,Yang,Hye-Won,Kim,Seojin 서울대학교 교육종합연구원 2021 The SNU Journal of Education Research Vol.30 No.4
The effects of ‘confidence in science’ and ‘instructional clarity in science lessons’ on ‘science achievement’ mediated by ‘interest in learning science’ were investigated comparatively across South Korea, Japan, the USA, and England. From the data of TIMSS 2019, 3,861 cases from South Korea, 4,446 cases from Japan, 8,698 cases from the USA, and 3,365 cases from England were used to test a hypothesized structural equation model. As a result, the model fitted the data of each country satisfactorily, and measurement was found to be equivalent across the four countries. Moreover, the effect of confidence on achievement was statistically significant in all countries whereas the effect of instructional clarity on achievement and the effect of interest on achievement were only significant in South Korea and the USA. Furthermore, the mediation effect of interest was only significant in South Korea and the USA. Such results provide new perspectives in the role of confidence, instructional clarity, and interest on students’ science achievement and implications for customized educational programs and policies for each country.
ChatGPT는 한국작업치료사면허시험에 합격할 수 있을까?
홍준화(Junhwa Hong),김나연(Nayeon Kim),민혜민(Hyemin Min),양하민(Hamin Yang),이시현(Sihyun Lee),최서진(Seojin Choi),박진혁(Jin-Hyuck Park) 대한신경계작업치료학회 2024 재활치료과학 Vol.13 No.1
Objective : This study assessed ChatGPT, an artificial intelligence system based on a large language model, for its ability to pass the National Korean Occupational Therapy Licensure Examination (NKOTLE). Methods : Using NKOTLE questions from 2018 to 2022, provided by the Korea Health and Medical Personnel Examination Institute, this study employed English prompts to determine the accuracy of ChatGPT in providing correct answers. Two researchers independently conducted the entire process, and the average accuracy of both researchers was used to determine whether ChatGPT passed over the 5-year period. The degree of agreement between ChatGPT answers of the two researchers was assessed. Results : ChatGPT passed the 2020 examination but failed to pass the other 4 years’ examination. Specifically, its accuracy in questions related to medical regulations ranged from 25% to 57%, whereas its accuracy in other questions exceeded 60%. ChatGPT exhibited a strong agreement between researchers, except for medical regulation questions, and this agreement was significantly correlated with accuracy. Conclusion : There are still limitations to the application of ChatGPT to answer questions influenced by language or culture. Future studies should explore its potential as an educational tool for students majoring in occupational therapy through optimized prompts and continuous learning from the data. 목적 : 본 연구는 대규모 언어 모델에 기반한 인공지능인 ChatGPT가 한국작업치료사면허시험에 통과할수 있는지 알아보고자 하였다. 연구방법 : 한국보건의료인국가시험원에서 제공하는 2018년부터 2022년도까지의 한국작업치료사면허시험 문항 중 공개되지 않은 작업치료실기 문항을 제외하고 작업치료학기초, 의료관계법규, 작업치료학문항을 활용하였다. 시험문항과 함께 가장 적절한 정답을 제시하도록 프롬프트를 영어로 구성하였고 이를 입력한 후 ChatGPT가 제시하는 답을 채점하였다. 2명의 연구자가 독립적으로 전체 과정을 진행하였으며, 2명의 연구자 채점한 정확도를 평균으로 5개년도의 시험에 대한 합격 여부를 확인하였고 연구자 간 ChatGPT 답에 대한 일치도를 확인하였다. 결과 : ChatGPT는 2020년에서만 합격하였고 나머지 4개년도 시험은 탈락권 점수를 보였다. 구체적으로의료관계법규 문항의 정확도는 25~57% 범위를 보였고 다른 문항의 정확도는 모두 60% 이상을 기록하였다. 또한 의료관계법규 문항을 제외한 연구자 간 ChatGPT는 높은 일치도를 보였으며, 이는 정확도와 유의미한 상관관계를 보였다. 결론 : 언어나 문화권에 영향을 받는 문항의 경우 아직 ChatGPT를 적용하는 데 제한이 있음을 확인하였다. 추후 프롬프트의 최적화 작업과 함께 지속적인 데이터의 학습에 따라 작업치료학을 전공하는 학생들의 학습 도구로서 활용될 수 있는지에 대한 지속적인 연구가 필요하다.
컨볼루션신경망을 이용한 시계그리기검사의 알츠하이머 치매 선별 가능성 확인
이시안 ( Lee Si-an ),홍준화 ( Hong Junhwa ),김나연 ( Kim Nayeon ),민혜민 ( Min Hyemin ),양하민 ( Yang Hamin ),이시현 ( Lee Sihyeon ),최서진 ( Choi Seojin ),박진혁 ( Park Jin-hyuck ) 대한인지재활학회 2023 대한인지재활학회지 Vol.12 No.2
Objective: This study was to examine the feasibility of the Clock Drawing Test (CDT) with convolutional neural networks (CNNs) for detecting Alzheimer’s disease (AD). Methods: 40 healthy older adults and 20 patients with mild AD conducted the CDT and then a total of 600 result images were established using augmentation techniques. 600 images were randomly allocated into training or test data sets, and 5-fold cross validation was applied. The CNN model was validated by 10 repetition tests, and its accuracy, sensitivity, and specificity were calculated. Results: No significant difference in demographic characteristics between both groups with exception of the Cognitive Impairment Screening Test (CIST) score. The CNN model achieved the accuracy of 85.0%, sensitivity of 87.5%, and specificity of 80.0%, whereas the CIST showed the accuracy of 80.0%, sensitivity of 87.0%, and specificity of 65.0%. Conclusion: Despite being based on a small amount of data, the CDT with CNNs showed higher accuracy than the CIST. Notably, it achieved a high specificity, which suggests that it has an advantage as a screening test in reducing false positives when disseminated in community settings and it could be a surrogate of the CIST.