In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

진딧물 방제제 개발을 위해 In vitro 경엽살포 검정방법이 널리 사용되고 있다. 이러한 신소재 진딧물 방제 제형은 종합방제와 화학농약의 대안 으로 많은 연구가 진행되고 있다. 하지만, 경엽살포 검정방법은 환경이 조절되는 실내에서도 진딧물의 증식과 살충에 영향을 받는다. 본 연구에서는 담배를 기주로 하여 솜과 한천방법을 이용하여 진딧물 방제제 검정을 위한 최적 경엽살포 확립하고자 하였다. 진딧물 검정 챔버에 솜과 한천을 넣은 후 담배 잎과 진딧물 3-4령 약충을 접종하였다. Water-sensitive paper를 이용하여 경엽살포 시에 가장 표면 피복이 높은 최적 경엽살포 거리와 살 포량을 확립하였다. 대조구로 물을 처리한 구에서 한천 방법이 솜 방법에 비해 살충율이 낮고, 증식율이 높았다. 솜 검정 방법에는 곤충 검정 챔버의 상대습도를 60% 이상 유지시켰을 때 가장 최적 조건이었지만, 한천 검정 방법에서는 한천의 농도에 상대습도 차이가 없었다. 최적화된 조건하에서 대조화학 농약, Sulfoxaflor, 경엽살포 시 솜 방법에서 살충율이 한천방법보다 빨랐지만, 최종 살충율은 통계적으로 유의하지 않았다. 본 연구는 살 진딧물 물질을 검정 시 재현성과 활용성이 가능한 최적화된 증식율과 살충율 검정 조건을 제시하였다.

Background: In terms of physical performance, elastic tape (ET) is known to contribute to injury prevention and performance enhancement. Objects: This study aimed to compare and analyze the effect on lower extremity muscle activity of young adult women with and without ET during squats. Methods: In this study, six healthy, young women were recruited as participants in a university laboratory. Participants were allocated to two groups of three after measuring muscle activity in a pre-test, and the experiment was conducted for a total of two weeks (two sessions). First, 10 half squats were taped once in the first week, and 10 half squats were performed without taping in the second week. The other group did this in reverse and measured muscle activity after the squat was over. Results: As a result of this study, there was no significant difference in the quadriceps with or without ET (Z = –0.11, p > 0.05). Similarly, no significant difference was found in hamstring (Z = –0.31, p > 0.05). Conclusion: No beneficial effect was found on changes in muscle activity following ET application during squats. Further studies require randomized controlled trials that increase the number of participants and the intensity of the intervention, and measure pain, function, and performance rather than muscle properties depending on the biomechanical lifting mechanism.

Technosignature, previously known as SETI(search for extraterrestrial intelligence), is the scientic evidence of past or present extraterrestrial civilizations. Since NRAO's Project Ozma was performed in 1960, most of the noticeable technosignature searches have been done by radio telescopes, hoping to find strong and narrow bandwidth signals that cannot be explained by known natural processes. Recently, the Breakthrough Listen project has opened a new opportunity for technosignature by utilizing both optical telescopes, radio telescopes, and next-generation radio telescope arrays. In this review, mainly based on NASA Technosignatures Workshop (2018), we review the current trends of technosignature surveys, as well as other possible methods for detecting technosignature. Also, we suggest what the Korean community could contribute the technosignature research, including the new SETI project with Korea VLBI Network (KVN).

More than 5,000 exoplanets have been detected nowadays. One of the key motivations of exoplanet detection is to understand what physical/chemical conditions of exoplanets are suitable for harboring extraterrestrial life. Such conditions are called \habitability," and most modern studies assume the existence of liquid water as its key factor. In this paper, we review the current status of exoplanet and habitability studies, as well as some future (habitable) exoplanet survey plans, mostly from National Academies of Sciences, Engineering, and Medicine (2018, 2021). Also, we suggest several research items that the Korean astronomy and space science community could contribute to habitability.

The FIFA world cup is one of the most popular and widely viewed sporting event, where millions of viewers across the globe tune in to support their country every four years for the chance to win the ultimate football tournament. According to FIFA, the FIFA World Cup Qatar 2022 recorded over 5 billion cumulative views, with the final match estimated to have been watched by more than 1.5 billion viewers live on television. In South Korea, a total of 11.14 million viewers watched the opening match against Uruguay, which was estimated to be a 97% increase in Korean viewership compared to the previous World Cup.

This study proposes a new collaborative filtering model that integrates Restricted Boltzmann Machines. The proposed two-stage model is applied to household-level supermarket purchase data. Results show that our model fits the data better and outperforms existing collaborative filtering methods in predicting shopping patterns. The proposed model also improves interpretations of market complexity and common causes of coincidence associated with customers’ multi-category purchases.

The following is not a conversation with a bank clerk. " Instead, let me introduce you to customized credit loans," "Do you want me to connect you to the screen of using COVID-19 support funds and checking balance?" These are the contents of consultations with AI chatbots at financial institutions. Chatbot, which used to be an additional tool for adding convenience to life, is now at the center of our lives.

Social networking sites (SNS) is an image-oriented sharing platform and can form social relationships among users. This allows individuals to create and share the contents which include their stories, ideas, reviews, opinions, and evaluations, etc. Consumers who sympathize with and trust these contents will follow them and form the relationships. Contents created and shared by individual users is more effective than advertisements delivered by brands in generating electronic word of mouth (e-WOM). Accordingly, opinion leaders and influencers who influence potential customers based on their opinions and style related contents have emerged in various fields such as health, fitness, fashion, beauty, food, and high-tech.

Customers’ service experience is related to the perceived state in the process of interacting with the target at various channel touchpoints (Kaushal & Yadav, 2023). Furthermore, positive customers’ service experiences can increase the repurchase intention of buyers by strengthening the interconnection and cooperation between buyers and suppliers in business-to-business (B2B) firms and reinforcing corporate competitive positioning.

Metaverse provides technology for people to connect, find communities, and grow businesses. Its sales have seen growth during the COVID-19 pandemic. In an era of metaverse, luxury brands such as Gucci, Ralph Lauren, Burberry, Balenciaga, and Dolce & Gabbana are trying to adapt to new changes. They launched NFT(Non-fungible token) goods, digital fashion, and virtual luxury goods on various metaverse platforms such as Zepeto, Roblox, and Fortnite. For example, Ralph Lauren in Zepeto provides various types of luxury items, immerses in virtual performances, and has a game plot interaction. As people immerse themselves in the Metaverse, they feel happy from various activities—such as watching advertisements, drinking juice, and playing with friends. Thus, what factors should be considered when the luxury brands manage the metaverse?

In recent years, with its amazing online interactive promotion ability, e-commerce live streaming has attracted the attention of theoretical scholars and practical experts. This study takes “co-presence (CP) ” and “social presence (SP) ”, which are the prominent features of e-commerce live streaming, as the breakthrough point to explore the mechanism of the influence of co-presence and social presence on purchase intention. In this study, consumers with e-commerce live streaming watching experience are taken as participants, and the method of structural equation modeling is used. It is found that: presence significantly impacts flow experience and consumer purchase intention, while the impact of the two kinds of presence (SP, CP) is variable. the promotion effect of the two kinds of presence (SP, CP) on consumer purchase intention is completely mediated by flow experience. The mediating effect of co-presence on consumer purchase intention through flow experience is regulated by e-commerce live streaming topicality, but social presence doesn’t.

Based on the metaverse situation, this paper explores the influence of perceived usefulness and usability on brand experience. The brand experience include two dimensions of sensory experience and behavioral experience. And then, based on 329 valid data collected through online experiment, it makes an empirical analysis by structural equation model and hierarchical regression. Results show that, metaverse situational perceived usefulness and usability have significant effects on customer sensory experience and behavioral experience, and sensory experience plays a mediating role in the effects of usefulness and usability on behavioral experience. Social presence plays a positive moderating role in the influence path of usefulness and usability on sensory experience and behavioral experience.

Metaverse blends the physical and virtual worlds, transforming the customer's shopping experience. This study aims to identify the psychological mechanism in the metaverse environment and the relationship between metaverse experience and consumer happiness. To identify metaverse experiences, both behavioral and functional magnetic resonance imaging (fMRI) studies were conducted. In a behavioral study, we found that consumers' happiness increased when participants were in an immersive metaverse space. In the fMRI study, we found greater activation in the medial prefrontal cortex (MPFC) and lateral occipital cortex (LOC) regions in the high level of the immersive metaverse and found a positive relationship with consumers' happiness. This paper is the first attempt in marketing to provide an integrative brain map for the metaverse experience. This brain map helps marketers better understand the consumer experience. This study suggests that only in the immersive metaverse space where virtual and physical experiences interact can consumers become one with the virtual space and maximize customer experience values.

APro, developed in KAERI for the process-based total system performance assessment (TSPA) of deep geological disposal systems, performs finite element method (FEM)-based multiphysics analysis. In the FEM-based analysis, the mesh element quality influences the numerical solution accuracy, memory requirement, and computation time. Therefore, an appropriate mesh structure should be constructed before the mesh stability analysis to achieve an accurate and efficient process-based TSPA. A generic reference case of DECOVALEX-2023 Task F, which has been proposed for simulating stationary groundwater flow and time-dependent conservative transport of two tracers, was used in this study for mesh stability analysis. The relative differences in tracer concentration varying mesh structures were determined by comparing with the results for the finest mesh structure. For calculation efficiency, the memory requirements and computation time were compared. Based on the mesh stability analysis, an approach based on adaptive mesh refinement was developed to resolve the error in the early stage of the simulation time-period. It was observed that the relative difference in the tracer concentration significantly decreased with high calculation efficiency.

Large amounts of waste and wastewater from aquaculture have negatively impacted ecosystems. Among them, shrimp aquaculture wastewater contains large amounts of nitrogen contaminants derived from feed residues in an aerobic environment. This study isolated candidate strains from adult rockworms to treat shrimp aquaculture wastewater (SAW) in an aerobic environment. Among 87 strains isolated, 25 grew well at the same temperature as the shrimp aquaculture with excellent polymer degradation ability (>0.5 cm clear zone). Six isolates (strains AL1, AL4, AL5, AL6, LA10, and PR15) were finally selected after combining strains with excellent polymer degradation ability without antagonism. 16S rRNA sequencing analysis revealed that strains AL1, AL4, AL5, AL6, LA10, and PR15 were closely related to Bacillus paramycoides, Bacillus pumilus, Stenotrophomonas rhizophila, Bacillus paranthracis, Bacillus paranthracis, and Micrococcus luteus, respectively. When these six isolates were applied to SAW, they reached a maximum cell viability of 2.06×105 CFU mL-1. Their chemical oxygen demand (CODCr) and total nitrogen (TN) removal rates for 12 h were 51.0% and 44.6%, respectively, when the CODCr/TN ratio was approximately 10.0. Considering these removal rates achieved in this study under batch conditions, these six isolates could be used for aerobic denitrification. Consequently, these six isolates from rockworms are good candidates that can be applied to the field of aquaculture wastewater treatment.

목적 : 본 연구의 목적은 녹내장의 예방 및 조기진단을 위해 진단되지 않은 녹내장의 특징과 관련 인자의 상관 관계를 알아내는 데 있다. 방법 : 국민건강영양조사 제7기 2017∼2018년 안검진을 받은 만 40세 이상 성인 7,546명을 대상으로 하였다. 참가자는 빛간섭단층촬영, 시야검사, 안저사진 촬영 검사를 통해 녹내장 판정을 받았다. 그리고, 자가 설문 응답 조사를 통해 사전 진단 여부를 파악하였다. 통계는 카이제곱 검정을 사용하였고, 관련성은 로지스틱 회귀분석을 이용하여 분석하였다. 결과 : 7,546명의 참가자 중 325명이 녹내장 진단을 받았으며 유병률은 4.3%였다. 이 중 47명은 사전 녹내장 진단을 받은 이력이 있고, 180명은 이전에 녹내장 치료를 받은 적이 없는 미진단 녹내장 환자로 79%를 차지했다. 연령과 성별을 보정한 관련성 분석에서는 안과를 방문한 지 1개월 이내 집단보다 1개월에서 1년 이내에 안과를 방문한 집단에서 관련성이 21배 높았다(p=0.002), 1년 이상 안과를 방문하지 않은 군에서는 1개월 이내 집단보 다 126배 높았다(p=0.001). 굴절이상과 관련도는 우안의 원시 굴절이상 환자군에서 녹내장 관련도가 8배 (p=0.043) 더 높았다. 다른 사회학적 및 건강 관련 요인에서는 진단되지 않은 녹내장과 진단된 녹내장에 대해 통 계적 유의성이 발견되지 않았습니다. 결론 : 안과 의사의 정기적인 방문과 원시 굴절이상 환자는 진단되지 않은 녹내장의 조기진단에 중요한 요소입 니다.

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.