• Asia Marketing Journal
• /
• 제21권1호
• /
• pp.89-112
• /
• 2019

To investigate the interplay between individual and collective self-regulations, the authors propose a dialectic process that describes the changes in the locus of self-regulations between individual self and collective self. The results from three studies display a strong support for the two sets of hypotheses drawn from the proposed process. Our findings demonstrate that consumers can move the locus of self-regulation from individual-self to collective-self when a social identity is activated (preliminary study and study1). Further examination of regulatory swing between individual and collective regulatory orientations revealed group identification as a key variable in determining the locus of self-regulation (study2). While a consumer with a high level of group identification changes her locus of self-regulation from an individual to a collective (a regulatory shift) and evaluated messages and products framed consistent with their group orientation, a consumer with low level of group identification maintains her locus of self-regulation in her personal level of self (a regulatory preservation) and evaluated messages and products framed consistent with their personal regulatory focus.

• Journal of Ginseng Research
• /
• 제41권4호
• /
• pp.540-547
• /
• 2017

Background: In general, after Panax ginseng is administered orally, intestinal microbes play a crucial role in its degradation and metabolization process. Studies on the metabolism of P. ginseng by microflora are important for obtaining a better understanding of their biological effects. Methods: In vitro biotransformation of P. ginseng extract by rat intestinal microflora was investigated at $37^{\circ}C$ for 24 h, and the simultaneous determination of the metabolites and metabolic profile of P. ginseng saponins by rat intestinal microflora was achieved using LC-MS/MS. Results: A total of seven ginsenosides were detected in the P. ginseng extract, including ginsenosides Rg1, Re, Rf, Rb1, Rc, Rb2, and Rd. In the transformed P. ginseng samples, considerable amounts of deglycosylated metabolite compound K and Rh1 were detected. In addition, minimal amounts of deglycosylated metabolites (ginsenosides Rg2, F1, F2, Rg3, and protopanaxatriol-type ginsenosides) and untransformed ginsenosides Re, Rg1, and Rd were detected at 24 h. The results indicated that the primary metabolites are compound K and Rh1, and the protopanaxadiol-type ginsenosides were more easily metabolized than protopanaxatriol-type ginsenosides. Conclusion: This is the first report of the identification and quantification of the metabolism and metabolic profile of P. ginseng extract in rat intestinal microflora using LC-MS/MS. The current study provided new insights for studying the metabolism and active metabolites of P. ginseng.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2017년도 춘계학술대회
• /
• pp.759-762
• /
• 2017

제안기법은 도래하는 클라우드 환경에서 원격의료 시스템을 위한 PACS에서 전송되는 의료정보의 정형데이터와 비정형 데이터의 안전한 전달을 위해 제안한다. 정형데이터는 의료영상과 같은 민감한 데이터로 AES암호화해 전달하고 비정형데이터는 의료이미지의 일부에서 비식별화를위해 암호화된 모자이크 비식별화기법을 이용해 전달한다. 암호화키의 안전성 평가를 위해 사이즈를 증가해가며 실험한 결과 128비트의 크기가 196, 256의크기로 암호화해도 128키와 큰 차이를 보이지 않음을 증명하였다.

• 유통과학연구
• /
• 제20권5호
• /
• pp.75-84
• /
• 2022

Purpose: The paper employs the theory of planned behaviour, social identity theory, social presence theory, and social exchange theory to propose a model for using the social media platform Facebook in distributing information in universities. Research design, data and methodology: Data were obtained from 618 students at Hanoi University of Industry (HaUI) in Vietnam. The study used structural equation modeling in SPSS and the statistical analysis software AMOS version 24 to explore the information distribution role of Facebook. Results: Findings reveal that subjective norms and social presence play a key role in driving students to use Facebook for studying. In addition, university administrators can boost student satisfaction and academic achievement through Facebook. Interestingly, students who strongly identify with the brand name of the university have a strong connection with the university are more likely to engage in behaviors supportive toward the university. Conclusions: These findings show that Facebook had played a key information distribution role in universities. Thus, the study provides the executive board of the university and teachers can gain new understanding of why students employ Facebook for studying as well as capitalize on the platform to improve several operational metrics such as brand identification, student satisfaction, and academic achievement.

• Journal of Information Science Theory and Practice
• /
• 제6권4호
• /
• pp.28-38
• /
• 2018

Wikipedia is composed of millions of articles, each of which explains a particular entity with various languages in the real world. Since the articles are contributed and edited by a large population of diverse experts with no specific authority, Wikipedia can be seen as a naturally occurring body of human knowledge. In this paper, we propose a method to automatically identify key entities and relations in Wikipedia articles, which can be used for automatic ontology construction. Compared to previous approaches to entity and relation extraction and/or identification from text, our goal is to capture naturally occurring entities and relations from Wikipedia while minimizing artificiality often introduced at the stages of constructing training and testing data. The titles of the articles and anchored phrases in their text are regarded as entities, and their types are automatically classified with minimal training. We attempt to automatically detect and identify possible relations among the entities based on clustering without training data, as opposed to the relation extraction approach that focuses on improvement of accuracy in selecting one of the several target relations for a given pair of entities. While the relation extraction approach with supervised learning requires a significant amount of annotation efforts for a predefined set of relations, our approach attempts to discover relations as they occur naturally. Unlike other unsupervised relation identification work where evaluation of automatically identified relations is done with the correct relations determined a priori by human judges, we attempted to evaluate appropriateness of the naturally occurring clusters of relations involving person-artifact and person-organization entities and their relation names.

• Parasites, Hosts and Diseases
• /
• 제51권5호
• /
• pp.511-517
• /
• 2013

Species identification using DNA sequences is the basis for DNA taxonomy. In this study, we sequenced the ribosomal large-subunit RNA gene sequences (3,037-3,061 bp) in length of 13 Chinese Theileria stocks that were infective to cattle and sheep. The complete 28S rRNA gene is relatively difficult to amplify and its conserved region is not important for phylogenetic study. Therefore, we selected the D2-D3 region from the complete 28S rRNA sequences for phylogenetic analysis. Our analyses of 28S rRNA gene sequences showed that the 28S rRNA was useful as a phylogenetic marker for analyzing the relationships among Theileria spp. in ruminants. In addition, the D2-D3 region was a short segment that could be used instead of the whole 28S rRNA sequence during the phylogenetic analysis of Theileria, and it may be an ideal DNA barcode.

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
• /
• pp.282-285
• /
• 2007

스폰서십의 효과를 결정짓는 여러 요인 중 기업이 스폰서하는 공동체(community)의 구성원들이 어떤 태도를 가지고 있는가 하는 점이 가장 중요한 요인이라 할 수 있다. 공동체 구성원의 태도를 이해하는데 매우 중요한 이론으로 동일시(identification) 혹은 일체감 이론을 생각할 수 있다. 공동체 구성원이 자신이 속한 공동체에 어느 정도의 일체감을 느끼는가에 따라 공동체에 대한 행동과 공동체에 스폰서하는 기업에 대한 태도가 달라질 수 있다. 본 연구에서는 공동체의식 개념을 적용하여 공동체 일체감의 주요 선행요인을 확인하고, 공동체 일체감과 기업의 스폰서십에 대한 반응 간의 관계를 살펴보고자 하였다. 연구결과 공동체 의식이 공동체 일체감과 공동체에 대한 충성도에 영향을 미치는 것을 알 수 있었다. 공동체 의식의 세부 요소별로 보면, 욕구의 충족, 소속감, 정서적 유대감은 공동체 일체감과 공동체 충성도에 모두 긍정적 영향을 미치며, 영향력은 공동체 충성도에만 영향을 미치는 것을 알 수 있었다. 또한 공동체 일체감이 높을수록 공동체 충성도가 높아지며, 공동체 충성도가 높아지면 스폰서에 대한 태도가 개선되는 반응이 나타남을 확인할 수 있었다.

• Smart Structures and Systems
• /
• 제29권1호
• /
• pp.1-16
• /
• 2022

Despite recent breakthroughs in deep learning and computer vision fields, the pixel-wise identification of tiny objects in high-resolution images with complex disturbances remains challenging. This study proposes a modified U-net for tiny crack segmentation in real-world steel-box-girder bridges. The modified U-net adopts the common U-net framework and a novel Self-Attention-Self-Adaption (SASA) neuron as the fundamental computing element. The Self-Attention module applies softmax and gate operations to obtain the attention vector. It enables the neuron to focus on the most significant receptive fields when processing large-scale feature maps. The Self-Adaption module consists of a multiplayer perceptron subnet and achieves deeper feature extraction inside a single neuron. For data augmentation, a grid-based crack random elastic deformation (CRED) algorithm is designed to enrich the diversities and irregular shapes of distributed cracks. Grid-based uniform control nodes are first set on both input images and binary labels, random offsets are then employed on these control nodes, and bilinear interpolation is performed for the rest pixels. The proposed SASA neuron and CRED algorithm are simultaneously deployed to train the modified U-net. 200 raw images with a high resolution of 4928 × 3264 are collected, 160 for training and the rest 40 for the test. 512 × 512 patches are generated from the original images by a sliding window with an overlap of 256 as inputs. Results show that the average IoU between the recognized and ground-truth cracks reaches 0.409, which is 29.8% higher than the regular U-net. A five-fold cross-validation study is performed to verify that the proposed method is robust to different training and test images. Ablation experiments further demonstrate the effectiveness of the proposed SASA neuron and CRED algorithm. Promotions of the average IoU individually utilizing the SASA and CRED module add up to the final promotion of the full model, indicating that the SASA and CRED modules contribute to the different stages of model and data in the training process.

• 한국멀티미디어학회논문지
• /
• 제6권7호
• /
• pp.1277-1285
• /
• 2003

본 논문은 IMT-2000환경에서 대수학적 방법을 적용하여 회의용 키 인증 메커니즘을 제안한다. 이를 위해서 symmetric balanced incomplete block design 기법을 응용하여 회의용 키를 생성하고, 참여한 사용자들에 생성된 키를 분배한다. 회의용 키 생성 기술과 ID 정보를 기반으로 하여 수행된 상호 인증을 통하여 통신 프로토콜은 설계한다. 제안된 프로토콜에서 회의용 전송키를 생성하기 위한 통신 복잡도를 최소화시키며, 특별한 경우에 복잡도는 O(equation omitted)이 되는데 여기에서 v는 참여자의 수이다. 보안 시스템의 구축에 있어서 중요한 문제인 본 프로토콜의 안전도는 이산 대수를 찾아내는 것은 hard 문제이기 때문에 보장할 수 있다.

• The Plant Pathology Journal
• /
• 제35권2호
• /
• pp.172-177
• /
• 2019

A duplex PCR method was developed for simultaneous detection and identification of tobacco root rot pathogens Phytophthora nicotianae and Thielaviopsis basicola. The specific primers for P. nicotianae were developed based on its internal transcribed spacer (ITS) regions of ribosomal gene, ras gene and hgd gene, while the specific primers for T. basicola were designed based on its ITS regions and ${\beta}$-tubulin gene. The specificity of the primers was determined using isolates of P. nicotianae, T. basicola and control samples. The results showed that the target pathogens could be detected from diseased tobacco plants by a combination of the specific primers. The sensitivity limitation was $100fg/{\mu}l$ of pure genomic DNA of the pathogens. This new assay can be applied to screen out target pathogens rapidly and reliably in one PCR and will be an important tool for the identification and precise early prediction of these two destructive diseases of tobacco.