• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.85-90
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• 2022

In modern conditions of the development of public relations, there is a continuous development of technologies. This not only reflects the convenience of service users, and new technology but also contributes to the emergence of new disputes to protect the rights of stakeholders. Therefore, it is urgent to study the distinctions between the jurisdiction of commercial, civil and administrative courts in resolving IT disputes. The work aims to study the peculiarities of delimitation of the jurisdiction of commercial, civil, and administrative courts through the prism of IT measurement. The research methodology consists of such methods as a historical, comparative-legal, formal-logical, empirical, method of analogy, method of synthesis, method of analysis, and systematic method. Examining the specifics of delimiting the jurisdiction of commercial, civil, and administrative courts through the IT dimension, it was concluded that there is a problem in determining the jurisdiction of the court. In addition, the judicial practice on this issue is quite variable, which negatively affects the predictability of technology in resolving potential disputes. In this regard, the criterion models for distinguishing between commercial, administrative, and civil proceedings according to the legal classification of the parties, as well as the nature of the claim are identified. This separation will contribute to a more accurate application of legal norms and methods of application of administrative norms and reduce the number of cases of improper proceedings.

• 생물정신의학
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• 제25권2호
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• pp.38-43
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• 2018

Objectives Dopamine dysregulation has been regarded as one of the core pathologies in patients with schizophrenia. Since dopamine synthesis capacity has found to be inconsistent in patients with schizophrenia, current classification of patients based on clinical symptoms cannot reflect the neurochemical heterogeneity of the disease. Here we performed new subtyping of patients with first-episode psychosis (FEP) through biotype-based cluster analysis. We specifically suggested basal ganglia structural changes as a biotype, which deeply involves in the dopaminergic circuit. Methods Forty FEP and 40 demographically matched healthy participants underwent 3T T1 MRI. Whole brain parcellation was conducted, and volumes of total 6 regions of basal ganglia have been extracted as features for cluster analysis. We used K-means clustering, and external validation was conducted with Positive and Negative Syndrome Scale (PANSS). Results K-means clustering divided 40 FEP subjects into 2 clusters. Cluster 1 (n = 25) showed substantial volume decrease in 4 regions of basal ganglia compared to Cluster 2 (n = 15). Cluster 1 showed higher positive scales of PANSS compared with Cluster 2 (F = 2.333, p = 0.025). Compared to healthy controls, Cluster 1 showed smaller volumes in 4 regions, whereas Cluster 2 showed larger volumes in 3 regions. Conclusions Two subgroups have been found by cluster analysis, which showed a distinct difference in volume patterns of basal ganglia structures and positive symptom severity. The result possibly reflects the neurobiological heterogeneity of schizophrenia. Thus, the current study supports the importance of paradigm shift toward biotype-based diagnosis, instead of phenotype, for future precision psychiatry.

• Journal of Korean Neurosurgical Society
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• 제63권3호
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• pp.386-396
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• 2020

Objective : To generate synthetic spine magnetic resonance (MR) images from spine computed tomography (CT) using generative adversarial networks (GANs), as well as to determine the similarities between synthesized and real MR images. Methods : GANs were trained to transform spine CT image slices into spine magnetic resonance T2 weighted (MRT2) axial image slices by combining adversarial loss and voxel-wise loss. Experiments were performed using 280 pairs of lumbar spine CT scans and MRT2 images. The MRT2 images were then synthesized from 15 other spine CT scans. To evaluate whether the synthetic MR images were realistic, two radiologists, two spine surgeons, and two residents blindly classified the real and synthetic MRT2 images. Two experienced radiologists then evaluated the similarities between subdivisions of the real and synthetic MRT2 images. Quantitative analysis of the synthetic MRT2 images was performed using the mean absolute error (MAE) and peak signal-to-noise ratio (PSNR). Results : The mean overall similarity of the synthetic MRT2 images evaluated by radiologists was 80.2%. In the blind classification of the real MRT2 images, the failure rate ranged from 0% to 40%. The MAE value of each image ranged from 13.75 to 34.24 pixels (mean, 21.19 pixels), and the PSNR of each image ranged from 61.96 to 68.16 dB (mean, 64.92 dB). Conclusion : This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm of artificial intelligence application in medical imaging. We expect that synthesis of MR images from spine CT images using GANs will improve the diagnostic usefulness of CT. To better inform the clinical applications of this technique, further studies are needed involving a large dataset, a variety of pathologies, and other MR sequence of the lumbar spine.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.287-294
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• 2021

Modern small farms are important link components in the structure of the world agro-industrial complex. It ensures the food and nutritional sustainability of the country exclusively at the local regional level. The purpose of the research is to examine the role of farming in ensuring nutritional security and food stability based on the analysis of the Food Sustainability Index (FSI). Research methods: modeling, abstraction, analogy, analysis, synthesis, formalization, logical abstraction, theoretical cognition, systematization and classification, abstract-logical, etc. Results. Having analyzed the Food Sustainability Index for 2018, it has been established that there is a lack of a clear relationship between the pace of economic development and the level of food and nutritional sustainability. In addition, this study has identified the countries with the largest number of small farms, as well as the number of farms within the region. The correlation between the size of the farm and the area of agricultural land that it cultivates has been determined. The problems faced by small farms in the process of their activity have been analyzed. The programs implemented in the field of agro-industrial complex development by international profile institutions have been systematized. Particularly, the regional structure of agricultural development programs under the guidance of IFAD is defined, as well as the areas to which they are directed. Specific measures taken by governments to stimulate the development of small farms have been outlined. Reasonable conclusions have been formed based on the study. The direction of future research is seen in the assessment of the export potential of small farms in terms of range, volume of export deliveries and geographical direction of movement of their products.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• 중소기업연구
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• 제41권1호
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• pp.97-129
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• 2019

기업가정신의 개념을 이해하는데 있어서 일반인들뿐만 아니라 많은 연구자들도 매우 혼란스러워 하면서, '통일된 정의가 없다'거나 '매우 다양하다' 또는 '모르겠다'라고 하는 경우가 많다. 기업가정신을 정의하는데 마치 장님 코끼리 만지듯이 특정 측면을 강조하여 정의함으로써 매우 많은 다양한 정의들이 제시되어 기업가정신을 이해하는데 있어서 혼란스러운 상황이 지속되고 있는 것이다. 기업가정신의 전체적인 개념적 모습을 알 수 있는 모델이 필요하지만 이에 대한 연구도 미흡한 상태로 보인다. 이에 본 연구는 선행연구에서 기업가정신 및 기업가를 '스스로를 고용(self-employment)하는 사람'으로도 정의하고 있음에 착안하여, 기업가를 자연인이 아니라 하나의 직무(경력/직업)로 보고, 선행연구문헌에서의 기업가정신과 기업가에 대한 정의들을 직무관점과 역량모델관점에서 분석적으로 재고찰하였다. 연구결과 선행연구에서 제시된 기업가정신의 정의의 내용을 직무관점에서 담당자(주체)와 직무행동방식(동사), 직무내용(대상), 직무성과(결과/효과), 기타 측면으로 분류할 수 있었다. 그리고 기업가에 대한 정의들에 포함된 내용들을 역량모델관점에서 개인차원의 심리적 특질들과 '기업가가 수행하는 직무 측면 요인들로 나누고, Spencer and Spencer(1993)의 역량모델에 비추어 기업가직무역량모델을 도출하였다. 본 연구는 직무관점과 역량모델관점을 토대로 선행 연구에서의 기업가정신의 정의와 기업가의 정의들을 재해석하고 체계화하여 앙트라프러뉴어십(기업가정신) 개념 전체를 조망하고 이해할 수 있는 개념적 통합모형을 도출하였다. 본 연구의 앙트라프러뉴어십 통합모형은 기업가정신에 대한 기존의 장님 코끼리 만지듯이 정의하고 논의했던 한계를 극복하는데 기여할 수 있을 것이다.

• Parasites, Hosts and Diseases
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• 제54권6호
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• pp.751-758
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• 2016

This study aimed at constructing a draft genome of the adult female worm Toxocara canis using next-generation sequencing (NGS) and de novo assembly, as well as to find new genes after annotation using functional genomics tools. Using an NGS machine, we produced DNA read data of T. canis. The de novo assembly of the read data was performed using SOAPdenovo. RNA read data were assembled using Trinity. Structural annotation, homology search, functional annotation, classification of protein domains, and KEGG pathway analysis were carried out. Besides them, recently developed tools such as MAKER, PASA, Evidence Modeler, and Blast2GO were used. The scaffold DNA was obtained, the N50 was 108,950 bp, and the overall length was 341,776,187 bp. The N50 of the transcriptome was 940 bp, and its length was 53,046,952 bp. The GC content of the entire genome was 39.3%. The total number of genes was 20,178, and the total number of protein sequences was 22,358. Of the 22,358 protein sequences, 4,992 were newly observed in T. canis. Following proteins previously unknown were found: E3 ubiquitin-protein ligase cbl-b and antigen T-cell receptor, zeta chain for T-cell and B-cell regulation; endoprotease bli-4 for cuticle metabolism; mucin 12Ea and polymorphic mucin variant C6/1/40r2.1 for mucin production; tropomodulin-family protein and ryanodine receptor calcium release channels for muscle movement. We were able to find new hypothetical polypeptides sequences unique to T. canis, and the findings of this study are capable of serving as a basis for extending our biological understanding of T. canis.

• Journal of Microbiology and Biotechnology
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• 제34권8호
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• pp.1599-1608
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• 2024

Yersinia enterocolitica is a globally distributed food-borne gastrointestinal pathogen. The O-antigen variation-determined serotype is an important characteristic of Y. enterocolitica, allowing intraspecies classification for diagnosis and epidemiology purposes. Among the 11 serotypes associated with human yersiniosis, O:3, O:5,27, O:8, and O:9 are the most prevalent, and their O-antigen gene clusters have been well defined. In addition to the O-antigen, several virulence factors are involved in infection and pathogenesis of Y. enterocolitica strains, and these are closely related to their biotypes, reflecting pathogenic properties. In this study, we identified the O-AGC of a Y. enterocolitica strain WL-21 of serotype O:10, and confirmed its functionality in O-antigen synthesis. Furthermore, we analyzed in silico the putative O-AGCs of uncommon serotypes, and found that the O-AGCs of Y. enterocolitica were divided into two genetic patterns: (1) O-AGC within the hemH-gsk locus, possibly synthesizing the O-antigen via the Wzx/Wzy dependent pathway, and (2) O-AGC within the dcuC-galU-galF locus, very likely assembling the O-antigen via the ABC transporter dependent pathway. By screening the virulence genes against genomes from GenBank, we discovered that strains representing different serotypes were grouped according to different virulence gene profiles, indicating strong links between serotypes and virulence markers and implying an interaction between them and the synergistic effect in pathogenicity. Our study provides a framework for further research on the origin and evolution of O-AGCs from Y. enterocolitica, as well as on differences in virulent mechanisms among distinct serotypes.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제18권2호
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• pp.123-129
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• 2007

Objectives: Autism is a complex neurodevelopmental spectrum disorder with a strong genetic component. Previous neurochemical and genetic studies have suggested the possible involvement of the serotonin system in autism. Tryptophan 2,3-dioxygenase(TDO2) is the rate-limiting enzyme in the catabolism of tryptophan, which is the precursor of serotonin synthesis. The aim of this study was to investigate the association between the TDO2 gene and autism spectrum disorders(ASD) in a Korean population. Methods: The patients were diagnosed with ASD on the basis of the DSM-IV diagnostic classification outlined in the Korean version of the Autism Diagnostic Interview-Revised and Autism Diagnostic Observation Schedule. The present study included the detection of four single nucleotide polymorphisms(SNPs) in the TDO2 gene(rs2292536, rs6856558, rs6830072, rs6830800) and the family-based association analysis of the single nucleotide polymorphisms in Korean ASD trios using a transmission disequilibrium test(TDT) and haplotype analysis. The family trios of 136 probands were included in analysis. 87.5% were male and 86.0% were diagnosed with autism. The mean age of the probands was $78.5{\pm}35.8$ months(range: 26-264 months). Results: Two SNPs showed no polymorphism, and there was no significant difference in transmission in the other two SNPs. We also could not find any significant transmission in the haplotype analysis(p>.05). Conclusion: We could not find any significant statistical association between the transmission of SNPs in the TDO2 gene and ASD in a Korean population. This result may not support the possible involvement of the TDO2 gene in the development of ASD, and further exploration might be needed to investigate other plausible SNP sites.

• 대한후두음성언어의학회지
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• 제14권1호
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• pp.16-25
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• 2003

후두암은 유병율이 높지만 조기에 발견하면 90% 이상의 치유율과 발성기능의 보존이 가능하며 현재 음성분석을 이용한 진단법이 시도되고 있으나 정립된 선별검사법은 없는 실정이다. 성문전도검사(electroglottography, EGG)는 성대의 진동양상을 알 수 있는 비침습적 검사로서 발성과 음성합성의 연구에 많이 사용되고 있다. 본 연구는 EGG에서 관찰되는 파라미터들을 다층 퍼셉트론(multilayer perceptron)구조의 신경회로망(artificial neural network)으로 감별하는 기법을 이용하여 후두암 감별법에 대한 연구로서 부산대학교병원을 내원한 후두암 환자 10명과 양성후두질환 26명을 대상으로 새로 고안한 Electroglottograph(v1.0)를 이용하여 검사하고 이의 임상적 유용성을 평가하였다. EGG 파라미터인 closed quotient(CQ), speed quotient(SQ), speed index(SI), fundamental frequency(F0), Jitter, Shimmer 등은 MATLAB 6.5 (Mathwork, Inc.)로 작성한 분석 프로그램을 이용하여 추출하였다. 각 환자에서 추출된 EGG 파라미터들을 다층 퍼셉트론 구조의 신경회로망으로 감별하였다. CQ는 각 질환군 간에 유의한 차이가 없었지만 SQ, SI, Jitter, Shimmer 등은 성대질환의 특성에 따라 유의한 차이를 보였다. 신경회로망에서 감별한 결과 CQ를 제외한 SQ, SI, Jitter, Shimmer 등에서 71.3-90%의 후두암의 감별율을 보였다. 또한 SQ, SI, Jitter, Shimmer를 3개씩 조합한 실험에서는 SQ-Jitter-Shimmer와 SQ-SI-Shimmer의 후두암의 감별율이 93%로 가장 높았고, SQ-SI-Jitter 90.9%, SI-Jitter-Shimmer 88.6%로 전체적으로 85% 이상의 높은 감별율을 나타내었다. 이러한 결과는 EGG검사와 신경회로망을 이용한 양성과 악성 후두질환의 감별이 가능함을 시사한다. 향후 성대 질환의 병태생리를 대변할 수 있는 파라미터가 추가로 개발되고 분류 알고리듬이 개선된다면 EGG를 이용한 성대질환의 감별 진단이 보다 정확해질 것으로 사료되었다.