• 제목/요약/키워드: Laboratory class

검색결과 624건 처리시간 0.024초

Theoretical Benefits and Research Findings Underlying the Use of Microcomputer-Based Laboratory in Science Teaching

  • Han, Hyo-Soon
    • 한국과학교육학회지
    • /
    • 제22권5호
    • /
    • pp.957-969
    • /
    • 2002
  • Theoretical benefits and research findings on the use of Microcomputer-based Laboratory (MBL) are considered for using MBL in a way that will be of benefit to students and teachers, and discussed as a whole for further synthesis, including the formulation of a research agenda for future consensus-based action. Based on the findings obtained from a comprehensive review of the literature, using a systematic approach, the uses of MBL were compared and contrasted for advancing understanding of the teaching and learning processes in science and mathematics. A number of benefits were proposed by MBL developers but not investigated by educational researchers. A few research studies considered the following practical aspects raised by classroom science teachers: technical problems of MBL equipment; inaccuracy or incompleteness of presentation; efficient ways for handling class time with MBL instruction; and development of MBL curriculum materials for their own instruction. This lack of research related to the use of MBL in science classrooms resulted in educational research that was neither respected nor utilized by science teachers. Setting a research agenda based on the theoretical benefits and research findings is necessary for the effective use of MBL in science classrooms can help to maximize the prospects for successful school improvement projects while minimizing the innovation-related frustrations of individuals.

ETLi: Efficiently annotated traffic LiDAR dataset using incremental and suggestive annotation

  • Kang, Jungyu;Han, Seung-Jun;Kim, Nahyeon;Min, Kyoung-Wook
    • ETRI Journal
    • /
    • 제43권4호
    • /
    • pp.630-639
    • /
    • 2021
  • Autonomous driving requires a computerized perception of the environment for safety and machine-learning evaluation. Recognizing semantic information is difficult, as the objective is to instantly recognize and distinguish items in the environment. Training a model with real-time semantic capability and high reliability requires extensive and specialized datasets. However, generalized datasets are unavailable and are typically difficult to construct for specific tasks. Hence, a light detection and ranging semantic dataset suitable for semantic simultaneous localization and mapping and specialized for autonomous driving is proposed. This dataset is provided in a form that can be easily used by users familiar with existing two-dimensional image datasets, and it contains various weather and light conditions collected from a complex and diverse practical setting. An incremental and suggestive annotation routine is proposed to improve annotation efficiency. A model is trained to simultaneously predict segmentation labels and suggest class-representative frames. Experimental results demonstrate that the proposed algorithm yields a more efficient dataset than uniformly sampled datasets.

Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance

  • Ezgi Gursel ;Bhavya Reddy ;Anahita Khojandi;Mahboubeh Madadi;Jamie Baalis Coble;Vivek Agarwal ;Vaibhav Yadav;Ronald L. Boring
    • Nuclear Engineering and Technology
    • /
    • 제55권2호
    • /
    • pp.603-622
    • /
    • 2023
  • Human error (HE) is an important concern in safety-critical systems such as nuclear power plants (NPPs). HE has played a role in many accidents and outage incidents in NPPs. Despite the increased automation in NPPs, HE remains unavoidable. Hence, the need for HE detection is as important as HE prevention efforts. In NPPs, HE is rather rare. Hence, anomaly detection, a widely used machine learning technique for detecting rare anomalous instances, can be repurposed to detect potential HE. In this study, we develop an unsupervised anomaly detection technique based on generative adversarial networks (GANs) to detect anomalies in manually collected surveillance data in NPPs. More specifically, our GAN is trained to detect mismatches between automatically recorded sensor data and manually collected surveillance data, and hence, identify anomalous instances that can be attributed to HE. We test our GAN on both a real-world dataset and an external dataset obtained from a testbed, and we benchmark our results against state-of-the-art unsupervised anomaly detection algorithms, including one-class support vector machine and isolation forest. Our results show that the proposed GAN provides improved anomaly detection performance. Our study is promising for the future development of artificial intelligence based HE detection systems.

1 kWe 급 고체산화물 연료전지 스택에서의 유동 해석 (Numerical Analysis in a 1 kWe SOFC Stack for the Flow Phenomena)

  • 이근우;김영진;윤호원;김현진;윤경식;유지행
    • 한국수소및신에너지학회논문집
    • /
    • 제34권2호
    • /
    • pp.196-204
    • /
    • 2023
  • This study performed the numerical analysis of the internal flow phenomena of 1 kWe-class solid oxide fuel cell (SOFC) stacks with internal manifold type and planar cells using commercial computational fluid dynamics (CFD) software, Star-CCM+. In particular, the locations where the turbulent phenomena occur inside the SOFC stack were investigated. In addition, the laminar flow model and the standard k-ε turbulent model were used to calculate the SOFC stack, separately. And, the calculation results of both laminar and turbulent models were compared. The calculation results showed that turbulent phenomena occurred mainly in the cathode flow. Especially, the turbulent phenomena were found in the cathode inlet/outlet region, and local turbulence occurred in the end plate near the inlet pipe.

Long non-coding RNAs: key regulators of liver and kidney fibrogenesis

  • Su-hyang Han;Je Yeong Ko;Eun Seo Kang;Jong Hoon Park;Kyung Hyun Yoo
    • BMB Reports
    • /
    • 제56권7호
    • /
    • pp.374-384
    • /
    • 2023
  • Fibrosis is a pathological condition that is characterized by an abnormal buildup of extracellular matrix (ECM) components, such as collagen, in tissues. This condition affects various organs of the body, including the liver and kidney. Early diagnosis and treatment of fibrosis are crucial, as it is a progressive and irreversible process in both organs. While there are certain similarities in the fibrosis process between the liver and kidney, there are also significant differences that must be identified to determine molecular diagnostic markers and potential therapeutic targets. Long non-coding RNAs (lncRNAs), a class of RNA molecules that do not code for proteins, are increasingly recognized as playing significant roles in gene expression regulation. Emerging evidence suggests that specific lncRNAs are involved in fibrosis development and progression by modulating signaling pathways, such as the TGF-β/Smad pathway and the β-catenin pathway. Thus, identifying the precise lncRNAs involved in fibrosis could lead to novel therapeutic approaches for fibrotic diseases. In this review, we summarize lncRNAs related to fibrosis in the liver and kidney, and propose their potential as therapeutic targets based on their functions.

Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0

  • Kim, Sunho;Kim, Royoung;Nam, Hee-Jo;Kim, Ryeo-Gyeong;Ko, Enjin;Kim, Han-Su;Shin, Jihye;Cho, Daeun;Jin, Yurhee;Bae, Soyeon;Jo, Ye Won;Jeong, San Ah;Kim, Yena;Ahn, Seoyeon;Jang, Bomi;Seong, Jiheyon;Lee, Yujin;Seo, Si Eun;Kim, Yujin;Kim, Ha-Jeong;Kim, Hyeji;Sung, Hye-Lynn;Lho, Hyoyoung;Koo, Jaywon;Chu, Jion;Lim, Juwon;Kim, Youngju;Lee, Kyungyeon;Lim, Yuri;Kim, Meongeun;Hwang, Seonjeong;Han, Shinhye;Bae, Sohyeun;Kim, Sua;Yoo, Suhyeon;Seo, Yeonjeong;Shin, Yerim;Kim, Yonsoo;Ko, You-Jung;Baek, Jihee;Hyun, Hyejin;Choi, Hyemin;Oh, Ji-Hye;Kim, Da-Young;Park, Hyun-Seok
    • Genomics & Informatics
    • /
    • 제18권3호
    • /
    • pp.33.1-33.7
    • /
    • 2020
  • This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.

국내 소에서 분리한 Brucella abortus의 병원성 분석 (The virulence of Brucella abortus isolated from cattle in Korea)

  • 임정주;김정화;김동혁;이진주;김대근;전무형;김상훈;장홍희;이후장;민원기;김석
    • 대한수의학회지
    • /
    • 제51권1호
    • /
    • pp.15-20
    • /
    • 2011
  • In this study, we isolated 12 of Brucella (B.) spp. from cattle, which have been positive in Rose Bangal test and tube agglutination test in Gyeongbuk province in 2009. According to AMOS PCR analysis, isolated 12 strains were identified as B. abortus. Murine derived macrophage, RAW 264.7 cells, were infected with isolated 12 strains or reference strain (B. abortus 544), and bacterial internalization were characterized. According to these results, we divided the isolated strains into the following three groups: class I, lower internalization than that of B. abortus 544; class II, similar internalization to that of that of B. abortus 544; class III, higher internalization than that of B. abortus 544 within RAW 264.7 cells. Furthermore, intracellular growth, bacterial adherent assay, LAMP-1 colocalization, virulence in mice and surface protein pattern were characterized. From these results, representative strains of class III showed lower LAMP-1 colocalization, higher adherent efficiency, higher virulence in mice than those of B. abortus 544, and showed different pattern of surface proteins. These results suggest that B. abortus field strains, isolated from cattle in Korea, possess various virulence properties and higher internalization ability of field strain may have an important role for its virulence expression.

중학교 과학실에서 사용되는 유해 화학물질의 관리방안에 관한 조사 연구 (A Study on the Management of Harzardous Chemlcals from the Middle School Science Class)

  • 김상옥;정용
    • 한국환경교육학회지:환경교육
    • /
    • 제2권1호
    • /
    • pp.69-83
    • /
    • 1991
  • The management and disposal of harzardous chemicals from the middle school science class was studied for the safety of student and for the protection of the environment. This study was undertaken by analysis of 5 kinks of current middle school science text book and questionnaire survey, and reviewed on the recommended methods for the disposal of harzardous chemical wastes from science class. There are 237 chemicals determined in the middle school science text books and 87 among them actually used in middle school science laboratory. 51 chemicals are classified as harzardous ones and 49 highly hazardous according to the 'Law of Toxic Chemicals management'. 116 chemicals are defined as water pollutants and 10 are highly hazardous water pollutants according to the 'Water Quality Control Law' as well are 91 chemicals as air pollutants and 19 are highly hazardous air pollutants according to the 'Air Quality Control Law' Questionnaire survey results the identification of toxic chemicals, need for education, awareness of toxic effects and current problems in the management. Disposal of toxic chemicals in middle school science class has been undertaken without any treatment, which could be caused of environmental pollution. Most of science teacher wanted to have opportunities to attend supplement courses for the management and disposal of chemicals for the safety and environmental protection. Simple and applicable methods for the management and disposal of chemicals at middle school science level should be strongly recommended to be installed.

  • PDF

Expression Analysis of miRNAs in Porcine Fetal Skeletal Muscle on Days 65 and 90 of Gestation

  • Chen, Jian-hai;Wei, Wen-Juan;Xiao, Xiao;Zhu, Meng-Jin;Fan, Bin;Zhao, Shu-Hong
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제21권7호
    • /
    • pp.954-960
    • /
    • 2008
  • MiRNAs (microRNAs) are a class of small non-coding RNA molecules of ~21 nucleotides that down- regulate the expression of target genes at post-transcriptional level. In this study, we first accomplished a preliminary scan of miRNA expression using 65 and 90 day fetal pig skeletal muscle samples by microarray hybridization, and 34 miRNAs showed strong positive signals. Five of these miRNAs were selected for further investigation by real-time RT-PCR. The statistical analyses indicated that three miRNAs exhibited significant differential expression (p<0.05) during porcine muscle development from 65 to 90 days of gestation, e.g., miR-24 and miR-424 were down-regulated while miR-133a was up-regulated. Multi-tissue RT-PCR was performed to detect the expression patterns of the five miRNA precursors. The results showed that most of these precursor miRNAs were ubiquitously expressed in different porcine tissues.

Characteristics of the Molecular Epidemiology of CTX-M-Producing Escherichia coli Isolated from a Tertiary Hospital in Daejeon, Korea

  • Kim, Semi;Sung, Ji Youn;Cho, Hye Hyun;Kwon, Kye Chul;Koo, Sun Hoe
    • Journal of Microbiology and Biotechnology
    • /
    • 제26권9호
    • /
    • pp.1643-1649
    • /
    • 2016
  • The aims of this study were to characterize the molecular epidemiological profiles of CTX-M-producing uropathogenic Escherichia coli isolates from a tertiary hospital in Daejeon, Korea, and to investigate the genetic diversity and compare the prevalence of sequence types (STs) in different areas. Extended spectrum β-lactamase-producing E. coli strains isolated from urine were analyzed for CTX-M, integrons, and insertion sequence common regions (ISCRs) by PCR and sequencing. Multilocus sequence typing (MLST), pulsed-field gel electrophoresis (PFGE), phylogenetic analysis, and rep-PCR were also used for molecular typing of the isolates. Of 80 CTX-M producers, 31 and 46 expressed CTX-M-15 and CTX-M-14, respectively. MLST analysis indicated that the most prevalent ST was ST131 (n = 34, 42.5%), followed by ST38 (n = 22, 27.5%), ST405 (n = 8, 10.0%), and ST69 (n = 6, 7.5%). Most CTX-M producers harbored class 1 integrons. ST131 strains belonged to phylogenetic group B2 and showed identical rep-PCR patterns, whereas ST69, ST38, and ST405 strains belonged to phylogenetic group D; the ST38 and ST405 strains displayed the same rep-PCR pattern, respectively. ST131 and ST38 isolates showed 21 and 19 distinct types, respectively, by PFGE. In Daejeon, D-ST38 CTX-M-14 producers were relatively more prevalent than in other countries and Korean cities. Our results indicate that CTX-M-producing E. coli isolates belonged mostly to ST131 or ST38 and were more related to hospital-onset than to community-onset infections and that the blaCTX-M gene may vary according to the ST.