• Title/Summary/Keyword: The Library

Search Result 11,853, Processing Time 0.046 seconds

Analysis of Creativity Research Trends Related to Early Childhood Teachers : Focusing on Domestic Thesis (유아 교사 관련 창의성 연구 동향 분석 : 국내 학위 논문 중심으로)

  • Munjung Kim
    • Journal of Christian Education in Korea
    • /
    • v.73
    • /
    • pp.73-91
    • /
    • 2023
  • This study aims to provide basic data for revitalizing creativity research related to early childhood teachers by analyzing creativity research related to early childhood teachers. For this study, 103 master's and doctoral dissertations in Korea, which were searched through the National Assembly Library and the Research Information Sharing Service (RISS), were selected under the themes of 'early childhood teacher', 'creativity', and 'creativity research trends'. The frequency and percentage were calculated by analyzing creativity research related to early childhood teachers with five criteria: research period, research content, research method, research subject, and creativity factor. As a result of the study, first, as for the trends of creativity research related to early childhood teachers, 91 master's theses (88.3%) and 12 doctoral theses (11.7%) were conducted from 1991 to 2022, focusing on master's theses. Second, trends by research content were found in 20 basic studies (19.4%) and 83 practical studies (80.6%). Creativity research related to early childhood teachers is being actively conducted centering on practical research. Third, trends by research method showed 96 quantitative studies (93.2%), 7 qualitative studies (6.8%), and 0 literature studies (0%). Creativity studies related to early childhood teachers were being conducted with a focus on quantitative research. Fourth, the trend by research subject consisted of 100 studies (97.1%) related to early childhood teachers and 3 studies (2.9%) related to pre-service early childhood teachers. Fifth, trends by creativity factor were found in 56 studies (54.4%) related to teacher's variables and 47 studies (45.6%) related to creativity education methods. Studies related to teacher's variables were relatively higher than creativity education methods. As a result of this study, there is a lack of Christian education research in creativity research related to early childhood teachers, so it is expected that it will be done in the future.

A Machine Learning-Based Encryption Behavior Cognitive Technique for Ransomware Detection (랜섬웨어 탐지를 위한 머신러닝 기반 암호화 행위 감지 기법)

  • Yoon-Cheol Hwang
    • Journal of Industrial Convergence
    • /
    • v.21 no.12
    • /
    • pp.55-62
    • /
    • 2023
  • Recent ransomware attacks employ various techniques and pathways, posing significant challenges in early detection and defense. Consequently, the scale of damage is continually growing. This paper introduces a machine learning-based approach for effective ransomware detection by focusing on file encryption and encryption patterns, which are pivotal functionalities utilized by ransomware. Ransomware is identified by analyzing password behavior and encryption patterns, making it possible to detect specific ransomware variants and new types of ransomware, thereby mitigating ransomware attacks effectively. The proposed machine learning-based encryption behavior detection technique extracts encryption and encryption pattern characteristics and trains them using a machine learning classifier. The final outcome is an ensemble of results from two classifiers. The classifier plays a key role in determining the presence or absence of ransomware, leading to enhanced accuracy. The proposed technique is implemented using the numpy, pandas, and Python's Scikit-Learn library. Evaluation indicators reveal an average accuracy of 94%, precision of 95%, recall rate of 93%, and an F1 score of 95%. These performance results validate the feasibility of ransomware detection through encryption behavior analysis, and further research is encouraged to enhance the technique for proactive ransomware detection.

A Case Study on Metadata Extractionfor Records Management Using ChatGPT (챗GPT를 활용한 기록관리 메타데이터 추출 사례연구)

  • Minji Kim;Sunghee Kang;Hae-young Rieh
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.24 no.2
    • /
    • pp.89-112
    • /
    • 2024
  • Metadata is a crucial component of record management, playing a vital role in properly managing and understanding the record. In cases where automatic metadata assignment is not feasible, manual input by records professionals becomes necessary. This study aims to alleviate the challenges associated with manual entry by proposing a method that harnesses ChatGPT technology for extracting records management metadata elements. To employ ChatGPT technology, a Python program utilizing the LangChain library was developed. This program was designed to analyze PDF documents and extract metadata from records through questions, both with a locally installed instance of ChatGPT and the ChatGPT online service. Multiple PDF documents were subjected to this process to test the effectiveness of metadata extraction. The results revealed that while using LangChain with ChatGPT-3.5 turbo provided a secure environment, it exhibited some limitations in accurately retrieving metadata elements. Conversely, the ChatGPT-4 online service yielded relatively accurate results despite being unable to handle sensitive documents for security reasons. This exploration underscores the potential of utilizing ChatGPT technology to extract metadata in records management. With advancements in ChatGPT-related technologies, safer and more accurate results are expected to be achieved. Leveraging these advantages can significantly enhance the efficiency and productivity of tasks associated with managing records and metadata in archives.

Preparation of Conjugated Linolenic Acid from Urea Fractionated Perilla Seed Oil Hydrolysate (우레아 분별된 들기름 가수 분해물을 이용한 Conjugated Linolenic Acid(CLnA)의 합성)

  • Lee, Kyung-Su;Shin, Jung-Ah;Lee, Ki-Teak
    • Journal of the Korean Society of Food Science and Nutrition
    • /
    • v.40 no.12
    • /
    • pp.1734-1742
    • /
    • 2011
  • Conjugated linolenic acid (CLnA) and conjugated linoleic acid (CLA) are positional geometric isomers with three and two double bonds, respectively. In this study, perilla seed oil containing 60% ${\alpha}$-linolenic acid (C18:3) and 30% linoleic acid (C18:2) was used as a reaction substrate. After the perilla seed oil was hydrolyzed, conjugated fatty acids were synthesized using different reaction parameters, such as reaction time and concentration of sodium hydroxide. As a result, CLnA, CLA, and other newly synthesized conjugated isomers were present at levels of 14.5%, 14%, and 42.2%, respectively, when the reaction was performed with 20% NaOH, at $180^{\circ}C$, and for 1 hr. The results of GC-MS and fourier transform infrared spectroscopy (FT-IR) showed that CLnA isomer of cis-9, trans-11, and trans-13 octadecatrienoate, CLA isomer of cis-9, trans-11, and trans-10, cis-12 octadecadienoate, and other conjugated isomers were produced. Using urea, ${\alpha}$-linolenic acid could be concentrated from perilla seed oil hydrolysate. After concentration by urea, the concentration of ${\alpha}$-linolenic acid reached about 70%. After alkaline-isomerization was performed on the urea fraction containing 70% ${\alpha}$-linolenic acid, the content of CLnA increased up to 16.6%.

Molecular Cloning and Expression of the Novel Attacin-Like Antibacterial Protein Gene Isolated from the Bombyx mori (집누에로부터 새로운 attactin 유산 항세균성 펩타이드 유전자의 분리 및 발현)

  • 윤은영;김상현;강석우;진병래;김근영;김호락;한명세;강석권
    • Korean journal of applied entomology
    • /
    • v.36 no.4
    • /
    • pp.331-340
    • /
    • 1997
  • Hyalophora cecropia attacin-like antibacterial gene was isolated from Bombyx mori induced with nonpathogenic bacteria. It was expressed in Spodopfera frugiperda 9 (Sf9 cells using baculovirus expression vector system (BEVS), and examined its antibacterial activity. With a cDNA library constructed from fifthinstar B. mori injected with Escherichia coli(4 X IOhcellsllarva), differential screening was performed using naive and induced mRNA probes. BmInc6 clone was screened by partial nucleotide sequence and GenBank database analysis. A complete nucleotide sequence of Bmlnc6 cDNA was determined (GenBank, AF005384). Its insert size was 852 bp and had open reading frame that started translation at position 35 and stopped at 679. And its putative polyadenylational signal existed at 812 bp. The number of amino acid deduced from Bmlnc6 cDNA was 214 and hydropathy analysis showed that this peptide was hydrophilic. This peptide deduced by BmInc6 was named nuecin. When the nuecin gene was expressed in Sf9 cells using BEVS, about 950 bp of the transcripts was detected. In addition, SDS-PAGE analysis showed that the molecular weights of intracellular expressed protein and the mature protein secreted to culture media were approximately 23 and 20 kDa, respectively. The antibacterial activity of nuecin against E. coli and Bacillus subtilis was significantly high, demonstrating that nuecin had a wider antibacterial spectrum with gram negative and positive bacteria than attacin.

  • PDF

Comparison Different Methods of Intraoperative and Intraperitoneal Chemotherapy for Patients with Gastric Cancer: A Meta-analysis

  • Huang, Jin-Yu;Xu, Ying-Ying;Sun, Zhe;Zhu, Zhi;Song, Yong-Xi;Guo, Peng-Tao;You, Yi;Xu, Hui-Mian
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.9
    • /
    • pp.4379-4385
    • /
    • 2012
  • Purpose: To investigate the efficacy and safety of intraperitoneal chemotherapy (IPC) for patients with gastric cancer and to compare effects between different regimens of IPC. Method: Randomized controlled trials comparing the effects of surgery plus intraperitoneal chemotherapy with surgery alone or comparing the efficacy between different regimens of intraperitoneal chemotherapy were searched for in Medline, Embase, Pubmed, the Cochrane Library and the Chinese BioMedical Disc and so on by two independent reviewers. After quality assessment and data extraction, data were pooled for meta-analysis using RevMan5.16 software. Tests of interaction were used to test for differences of effects among subgroups grouped according to different IPC regimens. Results: Fifteen RCTs with a total of 1713 patients with gastric cancer were included for quality assessment and data extraction. Ten studies were judged to be of fair quality and entered into meta-analysis. Hyperthermic intraoperative intraperitoneal chemotherapy (HR=0.60, P<0.01), hyperthermic intraoperative intraperitoneal chemotherapy plus postoperative intraperitoneal chemotherapy (HR=0.47, P<0.01) and normothermic intraoperative intraperitoneal chemotherapy (HR=0.70, P=0.01) were associated with a significant improvement in overall survival. Tests of interaction showed that hyperthermia and additional postoperative intraperitoneal chemotherapy did not impact on its effect. Further analysis revealed that intraperitoneal chemotherapy remarkably decrease the rate of postoperative hepatic metastasis by 73% (OR=0.27, 95% CI=0.12 to 0.67, P<0.01). However, intraperitoneal chemotherapy increased risks of marrow depression (OR=5.74, P<0.01), fever (OR=3.67, P=0.02) and intra-abdominal abscess (OR=3.57, P<0.01). Conclusion: The present meta-analysis demonstrates that hyperthermic intraoperative intraperitoneal chemotherapy and normothermic intraoperative intraperitoneal chemotherapy should be recommended to treat patients with gastric cancer because of improvement in overall survival. However, it is noteworthy that intraperitoneal chemotherapy can increase the risks of marrow depression, intra-abdominal abscesses, and fever.

A Fast Search Algorithm for Raman Spectrum using Singular Value Decomposition (특이값 분해를 이용한 라만 스펙트럼 고속 탐색 알고리즘)

  • Seo, Yu-Gyung;Baek, Sung-June;Ko, Dae-Young;Park, Jun-Kyu;Park, Aaron
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.12
    • /
    • pp.8455-8461
    • /
    • 2015
  • In this paper, we propose new search algorithms using SVD(Singular Value Decomposition) for fast search of Raman spectrum. In the proposed algorithms, small number of the eigen vectors obtained by SVD are chosen in accordance with their respective significance to achieve computation reduction. By introducing pilot test, we exclude large number of data from search and then, we apply partial distance search(PDS) for further computation reduction. We prepared 14,032 kinds of chemical Raman spectrum as the library for comparisons. Experiments were carried out with 7 methods, that is Full Search, PDS, 1DMPS modified MPS for applying to 1-dimensional space data with PDS(1DMPS+PDS), 1DMPS with PDS by using descending sorted variance of data(1DMPS Sort with Variance+PDS), 250-dimensional components of the SVD with PDS(250SVD+PDS) and proposed algorithms, PSP and PSSP. For exact comparison of computations, we compared the number of multiplications and additions required for each method. According to the experiments, PSSP algorithm shows 64.8% computation reduction when compared with 250SVD+PDS while PSP shows 157% computation reduction.

Criteria for diet pattern and meal management to improve cognitive function: A systematic review (체계적 문헌 고찰을 통한 인지기능 개선에 도움을 주는 식사 관리에 대한 연구)

  • Park, Young-Sook;Lee, Hyun-Jung;Choi, Kui-Jeong;Xu, Lin;Nam, Ye-Rim;Kim, Yoon-Ha;Kim, Min-Ji;Shin, Weon-Sun
    • Korean Journal of Food Science and Technology
    • /
    • v.52 no.5
    • /
    • pp.450-458
    • /
    • 2020
  • The purpose of this study was to conduct a systematic review of the current published research related to improvement in cognitive function. A systematic search was performed in three bibliographic databases (PubMed, Cochrane Library, and EMBASE) using "dementia", "memory", "food", "diet", and "nutrition" as keywords. Meal management intervention, including Dietary Approaches to Stop Hypertension (DASH) diet, Mediterranean (Med) diet, Diet Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet, and other studies, was also included in the analysis. Through extensive screening, 21 articles, out of 2101 papers retrieved, were used for the final systematic review. The methodological quality of the randomized controlled clinical trials (RCTs) was assessed using the Cochrane Risk of Bias tool. These articles recommended vegetables, fruits, whole grains, olive oil, fish, berries, nuts, and beans. In conclusion, this study suggests the potential use of meal management to improve cognitive function.

VNTR Polymorphism of Tyrosine Hydroxylase Gene Intron 1 in Schizophrenics (정신분열병 환자의 Tyrosine Hydroxylase 유전자 Intron 1의 VNTR 다형성)

  • Paik, In-Ho;Toh, Kyu-Young;Lee, Chang-Uk;Kim, Jung-Jin;Lee, Soo-Jung;Lee, Chul
    • Korean Journal of Biological Psychiatry
    • /
    • v.6 no.2
    • /
    • pp.170-175
    • /
    • 1999
  • Until recently, the etiology of schizophrenia was generally attributed to abnormalities in dopaminergic neurotransmission. Specifically, an excess of dopaminergic activity in the mesolimbic system has been postulated to produce the positive symptoms, while decreased dopaminergic activity in the mesocortical system has been suggested to cause negative symptoms. Accordingly, we performed an association study of schizophrenia with TH gene. Three hundred and seventy four biologically unrelated schizophrenic patients meeting DSM-III-R criteria from Kangnam St. Mary's Hospital affiliated with Catholic university of Korea were recruited for our study. The 393 healthy controls were volunteers for DNA library of Kangnam St. Mary's Hospital without personal or family history of psychiatric and neurologic illness. DNA was extracted from peripheral mononuclear cells and polymorphic region was amplified by polymerase chain reaction. TH intron 1 VNTR polymorphism was typed by silver staining. The allele distributions of TH gene were not different between schizophrenics and controls. However, the frequency of allele A was significantly higher in positive group than that of negative group of schizophrenics. These findings suggest that poitive schizophrenia may be associated with allele A of TH gene.

  • PDF

Development of SNP markers for the identification of apple flesh color based on RNA-Seq data (RNA-Seq data를 이용한 사과 과육색 판별 SNP 분자표지 개발)

  • Kim, Se Hee;Park, Seo Jun;Cho, Kang Hee;Lee, Han Chan;Lee, Jung Woo;Choi, In Myung
    • Journal of Plant Biotechnology
    • /
    • v.44 no.4
    • /
    • pp.372-378
    • /
    • 2017
  • For comparison of the transcription profiles in apple (Malus domestica L.) cultivars differing in flesh color expression, two cDNA libraries were constructed. Differences in gene expression between red flesh apple cultivar, 'Redfield' and white flesh apple cultivar, 'Granny Smith' were investigated by next-generation sequencing (NGS). Expressed sequence tag (EST) of clones from the red flesh apple cultivar and white flesh apple cultivar were selected for nucleotide sequence determination and homology searches. High resolution melting (HRM) technique measures temperature induced strand separation of short PCR amplicons, and is able to detect variation as small as one base difference between red flesh apple cultivars and white flesh apple cultivars. We applied high resolution melting (HRM) analysis to discover single nucleotide polymorphisms (SNP) based on the predicted SNP information derived from the apple EST database. All 103 pairs of SNPs were discriminated, and the HRM profiles of amplicons were established. Putative SNPs were screened from the apple EST contigs by HRM analysis displayed specific difference between 10 red flesh apple cultivars and 11 white flesh apple cultivars. In this study, we report an efficient method to develop SNP markers from an EST database with HRM analysis in apple. These SNP markers could be useful for apple marker assisted breeding and provide a good reference for relevant research on molecular mechanisms of color variation in apple cultivars.