• Title/Summary/Keyword: Modeling Methods

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Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis

  • Arun Sivananthan;Scarlet Nazarian;Lakshmana Ayaru;Kinesh Patel;Hutan Ashrafian;Ara Darzi;Nisha Patel
    • Clinical Endoscopy
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    • v.55 no.3
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    • pp.355-364
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    • 2022
  • Background/Aims: Colonoscopy is the gold standard diagnostic method for colorectal neoplasia, allowing detection and resection of adenomatous polyps; however, significant proportions of adenomas are missed. Computer-aided detection (CADe) systems in endoscopy are currently available to help identify lesions. Diminutive (≤5 mm) and nonpedunculated polyps are most commonly missed. This meta-analysis aimed to assess whether CADe systems can improve the real-time detection of these commonly missed lesions. Methods: A comprehensive literature search was performed. Randomized controlled trials evaluating CADe systems categorized by morphology and lesion size were included. The mean number of polyps and adenomas per patient was derived. Independent proportions and their differences were calculated using DerSimonian and Laird random-effects modeling. Results: Seven studies, including 2,595 CADe-assisted colonoscopies and 2,622 conventional colonoscopies, were analyzed. CADe-assisted colonoscopy demonstrated an 80% increase in the mean number of diminutive adenomas detected per patient compared with conventional colonoscopy (0.31 vs. 0.17; effect size, 0.13; 95% confidence interval [CI], 0.09-0.18); it also demonstrated a 91.7% increase in the mean number of nonpedunculated adenomas detected per patient (0.32 vs. 0.19; effect size, 0.05; 95% CI, 0.02-0.07). Conclusions: CADe-assisted endoscopy significantly improved the detection of most commonly missed adenomas. Although this method is a potentially exciting technology, limitations still apply to current data, prompting the need for further real-time studies.

Development of 3D Printed Textiles and Clothing Design Modeling (3D 프린티드 텍스타일 개발 및 의류디자인 모델링)

  • Jeong-wook Choi
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.3
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    • pp.1-12
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    • 2024
  • 3D printing technology is a key technology of the Fourth Industrial Revolution and has been gaining attention in various fields, having been selected as one of the top 10 core manufacturing technologies by the U.S. government. In the apparel industry as well, there have been various attempts to develop products using 3D printers. However, compared to other industries and research fields, utilization remains insufficient. This is mainly due to the high price of large 3D printers and a limited varieties of filaments, making it difficult to implement traditional textiles and produce full-size garments. In this study, to develop 3D printed textiles, textile structures that can be 3D printed were categorized. Applying various types of filaments and layering methods allowed for the printing and evaluation of structures, ultimately leading to the selection of three types of 3D printed textile structures suitable for use as clothing materials. Subsequently, types of filaments were selected that match the chosen textile structures and suitabel designs were applied to develop 3D printed clothing designs. As a result of this study, an ideal form for 3D printing textiles was proposed and mehods were presented for clothing construction using practical (versatile) 3D printing technology. This study plays a significant role in contributing to the expansion of research areas related to 3D printing technology in the fashion field and suggesting effective research directions.

Investigating the Influence of NFT ART Characteristics on Consumer Perceived Value: Insights from Purchasing Experience (NFT ART의 특성이 지각된 가치에 미치는 영향에 관한 연구)

  • Jeong, Young Soon;Jeong, Ji Eun;Lee, Chae Hyun;Park, Jong Woo
    • Journal of Korean Society for Quality Management
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    • v.52 no.2
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    • pp.255-274
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    • 2024
  • Purpose: Non-Fungible Token (NFT) ART, based on NFT technology, represents a novel form of art that has recently garnered significant attention in the art market. NFT technology enables the assertion of ownership over digital data, introducing the concept of ownership into the digital realm. As digital data gains ownership, NFT ART is anticipated to be positively viewed as an investment and expected to become more active due to the characteristics of this new technology. Therefore, this study aims to verify the influence of NFT ART characteristics on perceived value. This study contributes to extracting the distinctive characteristics of NFT ART compared to other forms of art and to understanding the perceived value of NFT ART among consumers with purchasing experience. Methods: This study applied structural equation modeling to explore the relationships among the variables using SPSS 26.0 and R program version 4.2.3. A total of 320 questionnaires were retrieved, all of which were adopted as valid analytical samples without missing values. Results: The findings indicate that the decentralization, transparency, and scarcity of NFT ART positively influence the perceived usefulness and enjoyment among consumers, while security does not have a significant impact. This suggests that higher levels of decentralization, transparency, and scarcity in NFT ART enhance perceived usefulness and enjoyment for consumers, significantly influencing the perceived value. Furthermore, it was confirmed that these characteristics are considered important values and perceptions from the consumer's perspective. Conclusion: The research presents positive factors for the activating of purchases among consumers considering buying NFT ART. It emphasizes the necessity of benefits for all participants to activate the art market. Additionally, the perceived value provides crucial insights for inducing active purchasing behavior in the NFT ART market and serves as a foundational study for further research.

Dentoalveolar effects of open-bite correction with the dual action vertical intra-arch technique: A finite element analysis

  • Sergio Estelita Barros;Kelly Chiqueto;Franciele Alberton;Katherine Jaramillo Cevallos;Juliana Faria;Bianca Heck;Leonardo Machado;Pedro Noritomi
    • The korean journal of orthodontics
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    • v.54 no.5
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    • pp.316-324
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    • 2024
  • Objective: To evaluate tooth displacement and periodontal stress generated by the dual action vertical intra-arch technique (DAVIT) for open-bite correction using three-dimensional finite element analysis. Methods: A three-dimensional model of the maxilla was created by modeling the cortical bone, cancellous bone, periodontal ligament, and teeth from the second molar to the central incisor of a hemiarch. All orthodontic devices were designed using specific software to reproduce their morpho-dimensional characteristics, and their physical properties were determined using Young's modulus and Poisson's coefficient of each material. A linear static simulation was performed to analyze the tooth displacements (mm) and maximum stresses (Mpa) induced in the periodontal ligament by the posterior intrusion and anterior extrusion forces generated by the DAVIT. Results: The first and second molars showed the greatest intrusion, whereas the canines and lateral incisors showed the greatest extrusion displacement. A neutral zone of displacement corresponding to the fulcrum of occlusal plane rotation was observed in the premolar region. Buccal tipping of the molars and lingual tipping of the anterior teeth occurred with intrusion and extrusion, respectively. Posterior intrusion generated compressive stress at the apex of the buccal roots and furcation of the molars, while anterior extrusion generated tensile stress at the apex and apical third of the palatal root surface of the incisors and canines. Conclusions: DAVIT mechanics produced a set of beneficial effects for open-bite correction, including molar intrusion, extrusion and palatal tipping of the anterior teeth, and occlusal plane rotation with posterior teeth uprighting.

Impact of socioeconomic status on biologics utilization in rheumatoid arthritis: revealing inequalities and healthcare efficiency

  • Hye Won Kim;Yeon Ju Lee;You-Jung Ha;Eun Bong Lee;Yun Jong Lee;Eun Ha Kang
    • The Korean journal of internal medicine
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    • v.39 no.4
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    • pp.668-679
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    • 2024
  • Background/Aims: This cross-sectional study aimed to investigate biologics treatment disparities in rheumatoid arthritis (RA) patients based on socioeconomic status (SES). Methods: Data from the KOrean Observational Study Network for Arthritis (KORONA) database were analyzed to assess various factors associated with SES, health behaviors, and biologics use. Logistic regression and structured equation modeling (SEM) were utilized for data analysis. Results: Among 5,077 RA patients included, 393 (7.7%) patients were identified as biologics users. Within the entire cohort, 31.8% of the participants were in the low-income and low-education groups, and 39.3% of the participants were in the high-income and high-education groups. Despite the patients with low income or low education experienced higher disease activity at diagnosis, had more comorbidities, exhibited higher medication compliance, underwent more check-ups, and had more hospital admissions than their counterparts, the odds of patients with low-income receiving biologics were 34% lower (adjusted odds ratio = 0.76, 95% confidence interval: 0.60-0.96, p = 0.021) after adjustment for demographics and comorbidities. SEM and pathway analyses confirmed the negative impact of low SES on biologics use. Conclusions: The findings suggest that SES plays a significant role in biologics use among RA patients, indicating potential healthcare inefficiencies for low SES patients. Moreover, adverse healthcare habits negatively affect biologics use in RA patients. The study highlights the importance of considering socioeconomic factors while discussing biologics use and promoting equitable access to biologics for optimal RA management.

Development of Headforms for the Labor Population in Selection, Use and Maintenance of Respirators in Korea (호흡보호구의 선정, 사용 및 관리를 위한 한국형 노동인구의 인두 개발)

  • Jung-Keun Park;Se-Dong Kim;Eun-Ji Lee
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.34 no.3
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    • pp.279-291
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    • 2024
  • Objective: This was to develop headforms for the labor population, based on a three-dimensional(3D) face dimensions data base(DB) and a principal component analysis(PCA) fit test panel, in selection, use and maintenance of respirators in Korea. Methods: This study was part of a two-year-project initiated in 2021. The study was designed and conducted in line with ISO 16976-2 while subjects were those employed in the development of the PCA fit test panel. The approaches included literature review; examination on conformity of the 3D face dimensions DB; and development of headforms representing the labor population. The mean data were used in order to construct each model of the headforms through a way of 3D modeling and 3D printing technology. Results: A total of 2,752 subjects were determined. Five models of headforms(small, medium, large, long-narrow, short-wide) were completely constructed for the labor population. For example, means of the 10 face dimensions for medium headform model were: minimum frontal breadth 106 mm, face width 136 mm, jaw width 127 mm, face length 111 mm, interpupillary distance 69 mm, head breadth 164 mm, nose protrusion 12 mm, nose breadth 34 mm, nasal root breadth 35 mm, and nose length 50 mm. Conclusions: Five models of headforms were newly constructed using the study data. It is likely desirable that the constructed headforms, together with the 3D face dimensions DB as well as the PCA fit test panel, can be utilized more effectively in selection, use and maintenance of respirators for users including the labor population.

Navigating Ethical AI: A Comprehensive Analysis of Literature and Future Directions in Information Systems (AI와 윤리: 문헌의 종합적 분석과 정보시스템 분야의 향후 연구 방향)

  • Jinyoung Min
    • Knowledge Management Research
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    • v.25 no.3
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    • pp.1-22
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    • 2024
  • As the use of AI becomes a reality in many aspects of daily life, the opportunities and benefits it brings are being highlighted, while concerns about the ethical issues it may cause are also increasing. The field of information systems, which studies the impact of technology on business and society, must contribute to ensuring that AI has a positive influence on human society. To achieve this, it is necessary to explore the direction of research in the information systems field by examining various studies related to AI and ethics. For this purpose, this study collected literature from 2020 to the present and analyzed their research topics through researcher coding and topic modeling methods. The analysis results categorized research topics into AI ethics principles, ethical AI design and development, ethical AI deployment and application, and ethical AI use. After reviewing the literature in each category to grasp the current state of research, this study suggested future research directions for AI ethics in the field of information systems.

The Influence of Family Adversities on Longitudinal Changes in Physical Inactivity Among Korean Adolescents During the COVID-19 Pandemic

  • Tae Kyoung Lee;Jing Zhu;Young Mi Kim;Ze-Kai Jiang;Meilin Zhang;Won Ha Choi;Tae-Young Pak;Hana Song
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.5
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    • pp.443-450
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    • 2024
  • Objectives: Lack of physical activity has a critical effect on the physical and mental health of adolescents. This study examined the influence of family adversities on the longitudinal changes in physical inactivity among adolescents during the coronavirus disease 2019 (COVID-19) pandemic. Methods: The study used multi-wave data from the Korean Children and Youth Panel Survey, including 2590 Korean adolescents aged 12-14 years. The longitudinal trajectory of physical inactivity among adolescents and the effects of related factors were estimated using a latent growth modeling method. Results: Our results revealed a significant increase in physical inactivity among adolescents over time. At the onset of the pandemic, approximately one-seventh of Korean middle schoolers reported a lack of physical activity. However, 3 years later, during the quarantine, nearly one-fifth of these adolescents reported a significant increase in their physical inactivity. Initially, low level parental education was predictive of adolescents' physical inactivity, but this effect diminished over time, becoming statistically insignificant by the end of the 3-year period. Moreover, the increase in physical inactivity over the 3 years was significantly influenced by parental rejection. Conclusions: These findings suggest that adolescents who experience parental rejection are more likely to report an increase in sedentary behaviors in contexts such as the COVID-19 pandemic.

Effects of the Local Environment and Nutritional Status on the Incidence of Acute Respiratory Infections Among Children Under 5 Years Old in Indonesia

  • Tri Bayu Purnama;Keita Wagatsuma;Masdalina Pane;Reiko Saito
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.5
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    • pp.461-470
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    • 2024
  • Objectives: This study aimed to map the incidence of acute respiratory infections (ARIs) among under-5 children in Indonesia, address the triple burden of malnutrition, and analyze the impact of malnutrition on ARIs, taking into account the environmental and wealth disparities in Indonesia. Methods: This study utilized an ecological design, analyzing aggregate data from the Indonesia Nutrition Survey, 2022. It encompassed 33 provinces and 486 districts/cities, involving a total of 334 878 children under 5 years of age. Partial least squares structural equation modeling was employed to investigate the relationships among wealth, environment, malnutrition (stunting, wasting, and underweight), and ARIs. Results: The proportion of ARI cases in Indonesia was generally concentrated in central Sumatra, the western and eastern parts of Java, and eastern Papua. In contrast, the northern part of Sumatra, central Kalimantan, central Sulawesi, and central Papua had a higher proportion of malnutrition cases compared to other regions. Negative associations were found between malnutrition and ARIs (path coefficient=-0.072; p<0.01) and between wealth and environment (path coefficient=-0.633; p<0.001), malnutrition (path coefficient=-0.399; p<0.001), and ARIs (path coefficient=-0.918; p<0.001). Conclusions: An increasing wealth index is expected to contribute to reducing ARIs, malnutrition and environmental burdens in the future. This study emphasizes the necessity for focused strategies that address both immediate health challenges and the underlying socioeconomic determinants to improve child health outcomes in the Indonesian context.

Point Cloud Segmentation Method Considering Wall Finishing Information Using 2D Material Segmentation and Back Projection

  • Sung-Jae Bae;Minji Song;Eunji Choi;Chan-Jin Kim;Junbeom Park;Young suk Kim;Jung-Yeol Kim
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.613-620
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    • 2024
  • Progress monitoring and quality control using as-built Building Information Modeling (BIM) are actively applied to construction industry. In order to effectively perform these management works, Scan-to-BIM is a key process to create as-built BIM models. In the Scan-to-BIM process point cloud segmentation is a critical task to identify object semantic information from point cloud data. While segmentation methods of main structural components such as walls, slabs, columns, and ceilings are actively studied and used for the management works, segmentation considering the finishing works of these components is still challenging. Therefore, this study proposed a point cloud segmentation method that considered wall finishing information, utilizing both point clouds and 2D images acquired from terrestrial laser scanners. The proposed method is composed of three main steps: 1) Segmenting as-built point clouds of main structural components through the comparison with as-planned BIM. 2) Applying a SegFormer material segmentation model that trained with wall finishing data (2D images) from terrestrial laser scanners to segment wall finishing information in 2D images. 3) Labelling the point cloud with recognized wall finishing information using back projection based on camera pose data. The proposed method is expected to contribute to the enchantment of the level of details (LoD) in as-built BIM and be useful in progress monitoring and quality control of finishing works.