• 제목/요약/키워드: Technological Advancements

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RhoBTB3 Regulates Proliferation and Invasion of Breast Cancer Cells via Col1a1

  • Kim, Kyungho;Kim, Youn-Jae
    • Molecules and Cells
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    • 제45권9호
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    • pp.631-639
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    • 2022
  • Breast cancer is the leading cause of cancer-related death in women worldwide, despite medical and technological advancements. The RhoBTB family consists of three isoforms: RhoBTB1, RhoBTB2, and RhoBTB3. RhoBTB1 and RhoBTB2 have been proposed as tumor suppressors in breast cancer. However, the roles of RhoBTB3 proteins are unknown in breast cancer. Bioinformatics analysis, including Oncomine, cBioportal, was used to evaluate the potential functions and prognostic values of RhoBTB3 and Col1a1 in breast cancer. qRT-PCR analysis and immunoblotting assay were performed to investigate relevant expression. Functional experiments including proliferation assay, invasion assay, and flow cytometry assay were conducted to determine the role of RhoBTB3 and Col1a1 in breast cancer cells. RhoBTB3 mRNA levels were significantly up-regulated in breast cancer tissues as compared to in adjacent normal tissues. Moreover, RhoBTB3 expression was found to be associated with Col1a1 expression. Decreasing RhoBTB3 expression may lead to decreases in the proliferative and invasive properties of breast cancer cells. Further, Col1a1 knockdown in breast cancer cells limited the proliferative and invasive ability of cancer cells. Knockdown of RhoBTB3 may exert inhibit the proliferation, migration, and metastasis of breast cancer cells by repressing the expression of Col1a1, providing a novel therapeutic strategy for treating breast cancer.

Detection and Recognition of Vehicle License Plates using Deep Learning in Video Surveillance

  • Farooq, Muhammad Umer;Ahmed, Saad;Latif, Mustafa;Jawaid, Danish;Khan, Muhammad Zofeen;Khan, Yahya
    • International Journal of Computer Science & Network Security
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    • 제22권11호
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    • pp.121-126
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    • 2022
  • The number of vehicles has increased exponentially over the past 20 years due to technological advancements. It is becoming almost impossible to manually control and manage the traffic in a city like Karachi. Without license plate recognition, traffic management is impossible. The Framework for License Plate Detection & Recognition to overcome these issues is proposed. License Plate Detection & Recognition is primarily performed in two steps. The first step is to accurately detect the license plate in the given image, and the second step is to successfully read and recognize each character of that license plate. Some of the most common algorithms used in the past are based on colour, texture, edge-detection and template matching. Nowadays, many researchers are proposing methods based on deep learning. This research proposes a framework for License Plate Detection & Recognition using a custom YOLOv5 Object Detector, image segmentation techniques, and Tesseract's optical character recognition OCR. The accuracy of this framework is 0.89.

빅데이터 및 인공지능을 이용한 혁신의료기기 발전 방향: 한국, 미국, 유럽의 사례중심 (The Innovative Medical Devices Using Big Data and Artificial Intelligence: Focusing on the cases of Korea, the United States, and Europe)

  • 송윤희;류규하
    • 대한의용생체공학회:의공학회지
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    • 제44권4호
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    • pp.264-274
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    • 2023
  • Purpose: The objective is to extract insights that can contribute to the formulation of harmonized international policies and support measures for innovative medical devices and management systems. This study aims to propose effective strategies for future medical device innovation and healthcare delivery. Results: It investigates technological advancements, regulatory approval systems, insurance policies, and successful commercialization cases in South Korea, the United States, and the European Union. In 2018, the FDA implemented insurance coverage for Software as a Medical Device (SaMD) and recognized insurance coverage for Digital Therapeutics (DTx). Germany is a country that ensures permanent reimbursement for healthcare applications since 2020, making it the first country to provide legal health insurance coverage for fostering a digital ecosystem. Conclusion: The findings of this research highlight the importance of cultivating a supportive regulatory and environmental framework to facilitate the adoption of innovative medical devices. Continuous support for research and development (R&D) efforts by companies, along with the validation of clinical effectiveness, is crucial.

머신 러닝을 사용한 개인화된 뉴스 추천 시스템 (Personalized News Recommendation System using Machine Learning)

  • 펭소니;양예선;박두순;이혜정
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 춘계학술발표대회
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    • pp.385-387
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    • 2022
  • With the tremendous rise in popularity of the Internet and technological advancements, many news keeps generating every day from multiple sources. As a result, the information (News) on the network has been highly increasing. The critical problem is that the volume of articles or news content can be overloaded for the readers. Therefore, the people interested in reading news might find it difficult to decide which content they should choose. Recommendation systems have been known as filtering systems that assist people and give a list of suggestions based on their preferences. This paper studies a personalized news recommendation system to help users find the right, relevant content and suggest news that readers might be interested in. The proposed system aims to build a hybrid system that combines collaborative filtering with content-based filtering to make a system more effective and solve a cold-start problem. Twitter social media data will analyze and build a user's profile. Based on users' tweets, we can know users' interests and recommend personalized news articles that users would share on Twitter.

전자석 그리퍼를 이용한 기와 받침틀 이송 자동화 장비 개발에 관한 연구 (A study on the development of an automated device for the transportation of roof tiles using electromagnetic grippers)

  • 강병수;유형민
    • Design & Manufacturing
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    • 제17권2호
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    • pp.1-8
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    • 2023
  • This study aims to enhance the price and quality competitiveness of imported tiles by developing a robotic tile production automation line. The development process involved several steps, such as requirement analysis, derivation of technical specifications, conceptual design, engineering feasibility review, detailed design, and production. Emphasis was placed on the transfer process of the tiles' molds, and technological advancements were achieved through engineering interpretation, feasibility review, and performance evaluation. The developed automation system incorporates key specifications to ensure a transfer success rate of over 90%, thereby ensuring stable transportation of the tiles and minimizing defect rates during production. The maximum weight capacity for tile pick-up was set above 6 kg, allowing effective handling of tiles weighing 6 kg or less in automated tasks. Furthermore, the system enables safe and precise movement of the tiles to the desired location, with a transfer distance of at least 1.3 m and a transfer speed exceeding 0.2 m/sec, thereby increasing production efficiency.

Recent Advancements in Smart Bandages for Wound Healing

  • Ventaka Ramesh Ragnaboina;Tae-Min Jang;Sungkeun Han;Suk-Won Hwang
    • 센서학회지
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    • 제32권6호
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    • pp.357-369
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    • 2023
  • Wound healing is a complex and dynamic process, making the accurate and timely assessment of skin wounds a crucial aspect of effective wound care management, especially for chronic wounds. Unlike conventional wound dressings that simply cover the wound area once some form of medicine is administered onto the wound, recent studies have introduced versatile approaches to smart wound dressings capable of interacting with wound fluids to monitor physicochemical and pathological parameters to determine the wound healing status. Such electrochemical wound dressings can be integrated with on-demand, closed-loop drug delivery or stimulation systems and ultimately expanded into an ideal technological platform for the prevention, treatment, and management of skin wounds or illnesses. This article briefly reviews the wound healing mechanism and recent strategies for effective wound care management. Specifically, this review discusses the following aspects of smart wound dressings: sensor-integrated smart bandages to detect wound biomarkers, smart bandages developed to accelerate wound healing, and wireless, closed-loop automatic (on-demand) wound healing systems. This review concludes by providing future perspectives on effective wound care management.

The Effect of ESG Performance on Economic Growth

  • Wei-Keon ZHANG
    • 동아시아경상학회지
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    • 제11권4호
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    • pp.11-18
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    • 2023
  • Purpose - By filling the existing research hole and supplying a whole evaluation, this test wants to offer actionable insights for stakeholders navigating the intersection of sustainability and financial prosperity. Ultimately, this study contributes to the evolving speak on ESG, fostering a deeper comprehension of its implications for fostering sustainable economic increase. Research design, data, and methodology - Based on the numerous prior literature, the current study adopts a rigorous and systematic approach to discover the connection between Environmental, Social, and Governance (ESG) performance and its effect on a financial boom. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method is the guiding framework for systematically accumulating and analyzing earlier research studies. Result: The finding of this study indicates that using ESG-pushed innovation, practitioners can force technological advancements inside their respective industries. By combining sustainability with research and improvement tasks, corporations can be leaders in selling economic boom through current, green solutions. Conclusion - In summary, this study concludes that embracing those findings in this study allows practitioners and managers to enhance their organization's easy regular, well-known traditional regular standard overall performance and undoubtedly contribute to a broader financial boom via leveraging the transformative strength of ESG necessities.

치아 보철물 디자인을 위한 이미지 대 이미지 변환 GAN 모델 (An Image-to-Image Translation GAN Model for Dental Prothesis Design)

  • 김태민;김재곤
    • 한국IT서비스학회지
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    • 제22권5호
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    • pp.87-98
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    • 2023
  • Traditionally, tooth restoration has been carried out by replicating teeth using plaster-based materials. However, recent technological advances have simplified the production process through the introduction of computer-aided design(CAD) systems. Nevertheless, dental restoration varies among individuals, and the skill level of dental technicians significantly influences the accuracy of the manufacturing process. To address this challenge, this paper proposes an approach to designing personalized tooth restorations using Generative Adversarial Network(GAN), a widely adopted technique in computer vision. The primary objective of this model is to create customized dental prosthesis for each patient by utilizing 3D data of the specific teeth to be treated and their corresponding opposite tooth. To achieve this, the 3D dental data is converted into a depth map format and used as input data for the GAN model. The proposed model leverages the network architecture of Pixel2Style2Pixel, which has demonstrated superior performance compared to existing models for image conversion and dental prosthesis generation. Furthermore, this approach holds promising potential for future advancements in dental and implant production.

Drivers of Small Business Competitive Advantage: A Study on Flower Shop Product Distribution in Bali

  • i gusti agung ketut gede SUASANA;i gede RIANA;i wayan SANTIKA;anak agung ayu diah puspita MAHADEWI
    • 유통과학연구
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    • 제22권1호
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    • pp.1-12
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    • 2024
  • Purpose: Rapid technological advancements and information dissemination have catalyzed a steep upsurge in the distribution of ornamental flower arrangement products, effectively meeting the burgeoning demands of customers. This research endeavours to elucidate the relationship between market orientation (MO) and competitive advantage (CA), with the intermediary role of marketing performance (MP) within Denpasar's flower arrangement retail sector. Research Methods: Conducted within a Denpasar-based flower shop, the study engaged 94 respondents through a questionnaire-based data collection methodology. Utilizing a saturated sampling approach, the sample size equated to the population size. The analysis employed SmartPLS, a robust statistical tool. Results: The study findings reveal that MO does not exert a statistically significant direct impact on CA. Nevertheless, MO exhibits a substantively positive and statistically significant influence on MP, which, in turn, substantially and significantly contributes to CA. For flower arrangement business owners, it is imperative to orchestrate effective control over their marketing performance. Conclusion: This involves nurturing enduring customer and employee relationships by steadily implementing market-oriented distribution strategies. By doing so, customer satisfaction and growth, pivotal in bolstering marketing performance, can be adeptly sustained, ultimately culminating in attaining competitive advantage.

LED 폐자원 재활용: 현황과 향후 방향 (Waste LED Recycling: Status and Prospects)

  • 이덕희;오현경;박경수
    • 자원리싸이클링
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    • 제33권1호
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    • pp.3-14
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    • 2024
  • LED 산업은 기술의 발전과 에너지 절감 정책을 바탕으로 수요가 급증하면서 시장은 급격히 확대되고 있다. 그에 따라 지속적으로 축적되는 LED 폐자원의 효율적인 재활용이 사회적 관심으로 증가하고 있어 현재 LED 폐자원의 재활용 상황과 향후 나아갈 방향에 대해 고찰하였다. 현재 LED 폐자원의 재활용은 Ga 회수기술에 초점이 맞춰져 있어 전처리 및 고부가가치 소재의 농축/회수 등 통합적인 재활용 기술 개발이 요구되는 상황이다. 본 논문에서는 LED 폐자원의 현황 및 재활용 기술을 알아보고 향후 방향에 대해 제시하였다.