• Title/Summary/Keyword: Text data

Search Result 2,953, Processing Time 0.036 seconds

Comparison of healing assessments of periapical endodontic surgery using conventional radiography and cone-beam computed tomography: A systematic review

  • Sharma, Garima;Abraham, Dax;Gupta, Alpa;Aggarwal, Vivek;Mehta, Namrata;Jala, Sucheta;Chauhan, Parul;Singh, Arundeep
    • Imaging Science in Dentistry
    • /
    • v.52 no.1
    • /
    • pp.1-9
    • /
    • 2022
  • Purpose: This systematic review aimed to compare assessments of the healing of periapical endodontic surgery using conventional radiography and cone-beam computed tomography (CBCT). Materials and Methods: This review of clinical studies was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. All articles published from 1990 to March 2020 pertaining to clinical and radiographic healing assessments after endodontic surgery using conventional radiography and CBCT were included. The question was "healing assessment of endodontic surgery using cone-beam computed tomography." The review was conducted by manual searching, as well as undertaking a review of electronic literature databases, including PubMed and Scopus. The studies included compared radiographic and CBCT assessments of periapical healing after periapical endodontic surgery. Results: The initial search retrieved 372 articles. The titles and abstracts of these articles were read, leading to the selection of 73 articles for full-text analysis. After the eligibility criteria were applied, 11 articles were selected for data extraction and qualitative analysis. The majority of studies found that CBCT enabled better assessments of healing than conventional radiography, suggesting higher efficacy of CBCT for correct diagnosis and treatment planning. A risk of bias assessment was done for 10 studies, which fell into the low to moderate risk categories. Conclusion: Three-dimensional radiography provides an overall better assessment of healing, which is imperative for correct diagnosis and treatment planning.

Vulnerability analysis for AppLock Application (AppLock 정보 은닉 앱에 대한 취약점 분석)

  • Hong, Pyo-gil;Kim, Dohyun
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.32 no.5
    • /
    • pp.845-853
    • /
    • 2022
  • As the memory capacity of smartphone increases, the type and amount of privacy stored in the smartphone is also increasing. but recently there is an increasing possibility that various personal information such as photos and videos of smartphones may be leaked due to malicious apps by malicious attackers or other people such as repair technicians. This paper analyzed and studied the security and vulnerability of these vault apps by analyzing the cryptography algorithm and data protection function. We analyzed 5.3.7(June 13, 2022) and 3.3.2(December 30, 2020) versions of AppLock, the most downloaded information-hidding apps registered with Google Play, and found various vulnerabilities. In the case of access control, there was a vulnerability in that values for encrypting patterns entered by users were hardcoded into plain text in the source code, and encrypted pattern values were stored in xml files. In addition, in the case of the vault function, there was a vulnerability in that the files and log files for storing in the vault were not encrypted.

The Development of the Model of Information Structure for Photo Archives in University Archives (대학기록관 사진 아카이브를 위한 정보구조 모형 제안)

  • Hyewon Lee;Seunghee Han
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.23 no.1
    • /
    • pp.101-126
    • /
    • 2023
  • Photographic archives of universities are one of the most valuable types of records that establish the university's identity and provide historical evidence. Unlike text records, however, they are weak in conveying meanings. Therefore, it is difficult to support users' search and utilization unless the information of photo records is comprehensively described. In this study, for the university photo archives, we tried to structure the classification system of photo archives and develop a metadata set that reflects the category characteristics in the classification. To this end, the photo archives classification system and metadata elements of domestic and American university archives were analyzed and based on this, the model of information structure was proposed. The information structure model presented in this study can help university archives improve the data quality of their photo archives and support users with the abundant discovery of photo archives.

RDD with Follow-Up Texting: A New Attempt to Build a Probability-Based Online Panel in South Korea

  • Dong-Hoon Seol;Deok-Hyun Jang;Sarah Prusoff LoCascio
    • Asian Journal for Public Opinion Research
    • /
    • v.11 no.3
    • /
    • pp.257-273
    • /
    • 2023
  • Conducting face-to-face surveys is difficult and cost prohibitive, necessitating a new attempt to build a probability-based panel in South Korea. Since 99.9% of adult Koreans own a mobile phone, mobile phone numbers provide a viable sampling frame. Random digit dialing (RDD) surveys were conducted August-December 2021. Of the 288,056 valid phone numbers dialed, 13,655 respondents between the ages of 19 and 69 completed a phone survey. These respondents were later invited by text message to join a panel; 3,202 of these (23.4% or 1.2% based on the number initially contacted) joined the panel. When compared to official government statistics like resident registration data, the census, or the Social Survey, this new probability-based panel can be said to be representative of the Korean population on the basis of age, gender, location, marital status, and household size after weighting is applied. However, even after weighting, panel members are more educated than the general population, white-collar workers and self-employed people are overrepresented, and blue-collar workers are underrepresented. As of February 2023, this panel has grown to 10,471 participants with plans to continue to invite more panel members in the same way. Based on the comparisons in this paper, we can regard this panel as a cost-effective, probability-based panel that may be used for various kinds of public opinion research, by researchers both within and outside of Korea. As we continue to refine and grow this panel, we hope it will become more widely used by researchers as well as provide a model for those building similar panels in other countries.

A Study on the Evaluation Differences of Korean and Chinese Users in Smart Home App Services through Text Mining based on the Two-Factor Theory: Focus on Trustness (이요인 이론 기반 텍스트 마이닝을 통한 한·중 스마트홈 앱 서비스 사용자 평가 차이에 대한 연구: 신뢰성 중심)

  • Yuning Zhao;Gyoo Gun Lim
    • Journal of Information Technology Services
    • /
    • v.22 no.3
    • /
    • pp.141-165
    • /
    • 2023
  • With the advent of the fourth industrial revolution, technologies such as the Internet of Things, artificial intelligence and cloud computing are developing rapidly, and smart homes enabled by these technologies are rapidly gaining popularity. To gain a competitive advantage in the global market, companies must understand the differences in consumer needs in different countries and cultures and develop corresponding business strategies. Therefore, this study conducts a comparative analysis of consumer reviews of smart homes in South Korea and China. This study collected online reviews of SmartThings, ThinQ, Msmarthom, and MiHome, the four most commonly used smart home apps in Korea and China. The collected review data is divided into satisfied reviews and dissatisfied reviews according to the ratings, and topics are extracted for each review dataset using LDA topic modeling. Next, the extracted topics are classified according to five evaluation factors of Perceived Usefulness, Reachability, Interoperability,Trustness, and Product Brand proposed by previous studies. Then, by comparing the importance of each evaluation factor in the two datasets of satisfaction and dissatisfaction, we find out the factors that affect consumer satisfaction and dissatisfaction, and compare the differences between users in Korea and China. We found Trustness and Reachability are very important factors. Finally, through language network analysis, the relationship between dissatisfied factors is analyzed from a more microscopic level, and improvement plans are proposed to the companies according to the analysis results.

Spectator's Value Cognition and Expected-benefit Factors on Professional Baseball Sportstar (프로야구 스포츠스타에 대한 관람자의 가치인식과 추구혜택)

  • Lee, Jong-Young;Ko, Jung-Hee
    • 한국체육학회지인문사회과학편
    • /
    • v.51 no.3
    • /
    • pp.79-88
    • /
    • 2012
  • The purpose of this study was to find spectator's value cognition and expected-benefit factors on professional baseball sportstar. Purposeful Sampling method was used to select among fan club leaders and people who had watched baseball games over ten years 8 informants who watched more than 4 times in 6 baseball games in 2011 Lotte Card Professional Baseball League. Data collection relies on focus group interviews and in-depth interviews. Text analysis was attempted to adopt the A-R-C needs theory proposed by Thomson(2006) for spectator's value cognition and the metaphors for consuming by Holt(1995) for expected-benefit factors. The research summary is as follow: Spectator's value cognition on professional baseball sportstar were an object of entertainment-oriented value, a major figure for social relationship-oriented and an object of identical. Spectator's expected-benefit factors on professional baseball sports tar were confirmation of values and heroic orientation. Meanwhile, spectator who had entertainment-oriented value cognition on professional baseball sportstar expect heroic orientation, who recognize professional baseball sportstar a major figure for social relationship-oriented and an object of identical pursue confirmation of values.

Fashion attribute-based mixed reality visualization service (패션 속성기반 혼합현실 시각화 서비스)

  • Yoo, Yongmin;Lee, Kyounguk;Kim, Kyungsun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.05a
    • /
    • pp.2-5
    • /
    • 2022
  • With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various fields of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of 'language processing intelligence' and 'image processing intelligence', and We propose an artificial intelligence-based 'customized fashion advisor' service integration system that analyzes trends and new materials, discovers 'market-consumer' insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.

  • PDF

Analysis of online parenting community posts on expanded newborn screening for metabolic disorders using topic modeling: a quantitative content analysis (토픽 모델링을 활용한 광범위 선천성 대사이상 신생아 선별검사 관련 온라인 육아 커뮤니티 게시 글 분석: 계량적 내용분석 연구)

  • Myeong Seon Lee;Hyun-Sook Chung;Jin Sun Kim
    • Women's Health Nursing
    • /
    • v.29 no.1
    • /
    • pp.20-31
    • /
    • 2023
  • Purpose: As more newborns have received expanded newborn screening (NBS) for metabolic disorders, the overall number of false-positive results has increased. The purpose of this study was to explore the psychological impacts experienced by mothers related to the NBS process. Methods: An online parenting community in Korea was selected, and questions regarding NBS were collected using web crawling for the period from October 2018 to August 2021. In total, 634 posts were analyzed. The collected unstructured text data were preprocessed, and keyword analysis, topic modeling, and visualization were performed. Results: Of 1,057 words extracted from posts, the top keyword based on 'term frequency-inverse document frequency' values was "hypothyroidism," followed by "discharge," "close examination," "thyroid-stimulating hormone levels," and "jaundice." The top keyword based on the simple frequency of appearance was "XXX hospital," followed by "close examination," "discharge," "breastfeeding," "hypothyroidism," and "professor." As a result of LDA topic modeling, posts related to inborn errors of metabolism (IEMs) were classified into four main themes: "confirmatory tests of IEMs," "mother and newborn with thyroid function problems," "retests of IEMs," and "feeding related to IEMs." Mothers experienced substantial frustration, stress, and anxiety when they received positive NBS results. Conclusion: The online parenting community played an important role in acquiring and sharing information, as well as psychological support related to NBS in newborn mothers. Nurses can use this study's findings to develop timely and evidence-based information for parents whose children receive positive NBS results to reduce the negative psychological impact.

Preconception care knowledge and information delivery modes among adolescent girls and women: a scoping review

  • Wiwit Kurniawati;Yati Afiyanti;Lina Anisa Nasution;Dyah Juliastuti
    • Women's Health Nursing
    • /
    • v.29 no.1
    • /
    • pp.12-19
    • /
    • 2023
  • Purpose: The aim of this study was to conduct a scoping review of knowledge and information delivery modes related to preconception care (PCC) among adolescent girls and women. Methods: A scoping review was performed on studies selected from five electronic databases (Cochrane Library, PubMed, Science Direct, CINAHL/EBSCO, and ProQuest), published between 2012 and 2022, with predetermined keywords and criteria. We included English-language research articles available in full text and excluded irrelevant articles. Results: This study included eight articles, comprising seven quantitative studies and one qualitative study conducted among adolescent girls and women. Five were from low- and middle-income countries and three were from high-income countries. The synthesized themes generated from the data were PCC knowledge and PCC information delivery modes and effectiveness. In general, adolescent girls and women were found to have basic PCC knowledge, including risk prevention and management and a healthy lifestyle, although more extensive knowledge was found in higher-income countries than in lower-income countries. The delivery modes of PCC information have grown from individual face-to-face conventional methods, which are used predominantly in lower-income countries, to more effective digital mass media. Conclusion: Globally, many women still have insufficient knowledge regarding PCC, as not all of them receive access to PCC information and support. PCC promotion efforts should be initiated earlier by involving a wider group of reproductive-age women and combining individual, in-group, face-to-face, and electronic delivery modes.

Development of Dog Name Recommendation System for the Image Abstraction (이미지 추상화 기법을 이용한 반려견 이름 추천 시스템 개발)

  • Jae-Heon Lee;Ye-Rin Jeong;Mi-Kyeong Moon;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.18 no.2
    • /
    • pp.313-320
    • /
    • 2023
  • The cumulative registration status of dogs is from 1.07 million in 2016 to 2.32 million in 2020. Animal registration is increasing by more than 10% every year, and accordingly, a name must be decided when registering a dog. We want to give a name that fits the characteristics of a dog's appearance, but there are many difficulties in naming it. This paper explains the development of a system for recognizing dog images and recommends dog names based on similar objects or food. This system extracts similarities with dogs' images through models that learn images of various objects and foods, and recommends dog names based on similarities. In addition, by recommending additional related words based on the image data of the result value, it was possible to provide users with various options, increase convenience, and increase interest and fun. Through this system, it is expected that users will be able to solve their concerns about naming their dogs, check names that suit their dogs comfortably, and give them various options through various recommended names to increase satisfaction.