이 논문은 직전 연구인 메타버스의 함정을 극복하기 위한 게임화된 동적 습관 형성 모델의 후 속 연구다. 2022년 12월 논문 연구에서는 사용자 참여를 방해할 수 있는 일반적인 함정을 극 복하기 위해 메타버스 공간을 설계하는 데 초점을 맞춘 게이미피케이션 동적 습관 형성 모델 을 제안하였다. 당시 제안했던 4단계 접근법을 통합한 역학 모델은 낮은 상호작용(P4)의 온보 딩 접근법, 기본 상호작용(P3) 온보딩 접근법, 중간 상호작용(P2)의 온보딩 접근법, 높은 상호 작용(P1) 온보딩 접근법의 네 단계로 구성되었으며, 간단한 모델의 개요를 설명한 바 있다. 본 고에서는 4단계의 세부 연구에 집중하였는데, P4-튜토리얼, 시즌 이벤트, 소셜 이벤트 및 모 임, P3-기본 아바타, 가상경제 및 아이템 획득/거래, 소셜경쟁과 리더보드, 도전과 경쟁, 커뮤 니티 강화, P2-아바타 개인화, 사용자 제작 콘텐츠. 보상 메커닉스 강화, 피드백 및 진행 상황 추적, P1-대화형 튜토리얼, 사회적 상호작용, 내러티브 중심 퀘스트, 스토리 기반 업적, 인터 렉티브 스토리 요소 등의 습관형성 증진 방안을 제시하였다. 각 단계는 게이미피케이션 및 게 임디자인 기법과 사용자 중심 디자인 원칙을 통합하여 사용자의 참여를 유도하고, 습관 형성 을 촉진하는 방향에서의 온보딩 접근법을 제시하고자 하였다. 이 논문에서는 게이미피케이션 및 게임디자인 이론과 실무를 바탕으로 각 단계에 대한 예시와 전략을 제공하여 메타버스에서 학습환경을 구현하는 데 도움을 줄 것이다. 다만, ‘게임’과 ‘메타버스’와의 개념과 용어에서의 명확한 구분이 어려운 상황이어서, 게이미피케이션 및 게임디자인 분야의 기초적인 이론과 온 보딩 방법론을 다룰 수 밖에 없었다.

제충국(Tanacetum cineariaiaefolium), 데리스(Derris elliptica), 고삼(Sophora flavescens) 추출물은 다양한 해충을 방제하는데 사용되고 있다. 하지만, 국내에서 판매되고 있는 식물추춞물 자재는 유효성분의 표기가 없고, 살충농도와 살충시간에 대한 자료가 전무한 상황이다. 본 연구에서는 상 용화된 주요 식물추출물의 살충유효성분의 농도를 결정하고 복숭아혹진딧물에 대해 살충농도와 살충시간을 측정하였다. 식물추출물의 살충활성성분 인 pyrethrins, rotenone, matrine과 oxymatrine의 농도는 액체 크로마토그래피에서 표준물질을 활용하여 질량분석을 통해 측정하였다. 식물추출 물을 농도별로 희석하여 복숭아혹진딧물에 살포하여 살충력을 측정하였다. 표준화합물과 비교한 후 질량분석 및 결정했습니다. Myzus persicae에 대 한 lethal concentation과 lethal time을 조사했다. 살포 후 48시간 후 치사 농도(LC50)는 pyrethrins (20.4 ppm), roteone (34.1 ppm), matrine (29.6 ppm)였고, 100 ppm 살포한 LT50은 pyrethrins (13.4시간), rotenone (15.1시간), matrine (14.4시간)로 측정되었다. Kaplan-Meier 생존분 석 결과, 100 ppm에서 세 가지 식물 추출물의 LT50은 대조구인 화학 살충제인 Sulfoxaflor를 살포 처리구보다 유의하게 빨랐습니다. 본 결과는 복숭 아혹진딧물 방제를 위해 식물추출물의 제형화에 단일 또는 혼합 제제를 개발하는데 기준 살충농도와 살충시간을 제고하는데 의미가 있다.

Nuclear power plants use ion exchange resins to purify liquid radioactive waste generated while operating nuclear power plants. In the case of PHWR, ion exchange resins are used in heavy water and dehydration systems, liquid waste treatment systems, and heavy water washing systems, and the used ion exchange resins are stored in waste resin storage tanks. The C-14 radioactivity concentration in the waste resin currently stored at the Wolseong Nuclear Power Plant is 4.6×106 Bq/g, exceeding the low-level limit, and if all is disposed of, it is 1.48×1015 Bq, exceeding the total limit of 3.04×1014 Bq of C-14 in the first stage disposal facility. Therefore, disposal is not possible at domestic low/medium-level disposal facilities. In addition, since the heavy water reactor waste resin mixture is stored at a ratio of about 20% activated carbon and zeolite mixture and about 80% waste resin, mixture extraction and separation technology and C-14 desorption and adsorption technology are required. Accordingly, research and development has been conducted domestically on methods to treat heavy water waste resin, but the waste resin mixture separation method is complex and inefficient, and there are limitations in applying it to the field due to the scale of the equipment being large compared to the field work space. Therefore, we would like to introduce a resin treatment technology that complements the problems of previous research. Previously, the waste resin mixture was extracted from the upper manhole and inspection hole of the storage tank, but in order to improve limitations such as worker safety, cost, and increased work time, the SRHS, which was planned at the time of nuclear power plant design, is utilized. In addition, by capturing high-purity 14CO2 in a liquid state in a high-pressure container, it ensures safety for long-term storage and is easy to handle when necessary, maximizing management efficiency. In addition, the modularization of the waste resin separation and withdrawal process from the storage tank, C-14 desorption and monitoring process, high-concentration 14CO2 capture and storage process, and 14CO2 adsorption process enables separation of each process, making it applicable to narrow work spaces. When this technology is used to treat waste resin mixtures in PHWR, it is expected to demonstrate its value as customized, high-efficiency equipment that can secure field applicability and safety and reflect the diverse needs of consumers according to changes in the working environment.

Botanical extracts are employed in management of aphids. Extracts from Tanacetum cineariaiaefolium, Derris elliptica, and Sophora flavescens are widely used to control various insects. In this study, we determined concentrations of active insecticidal compounds (Ais) in commercial botanical extracts of these plants, and we investigated the time and concentration for lethal results with the green peach aphid, Myzus persicae. The concentrations of Ais, pyrethrins from T. cineariaiaefolium, rotenone from D. elliptica, and matrine and oxymatrine from S. flavescens, were determined after their fractionation by liquid chromatography followed by mass analysis and comparison with standard compounds. The extracts were tested for lethality in a bioassay with green peach aphids. Sprays at defined doses were applied to tobacco leaves infested with aphid nymphs. The lethal concentrations (LC50) were 20.4 ppm for pyrethrins, 34.1 ppm for rotenone, and 29.6 ppm for matrine at 48 h after treatments. At 100 ppm application levels, the lethal time LT50 was 13.4 h for pyrethrin, 15.1 h for rotenone, and 14.4 h for matrine. Kaplan - Meier analysis indicated the lethal times for the three botanical extracts at 100 ppm were significantly faster than application of a chemical insecticide, Sulfoxaflor, applied at the recommended level. These results provide baselines to develop and formulate single or mixed preparations containing botanical extracts to control green peach aphids on commercial crops.

Leaf-spray in vitro bioassays appraise new aphicidal formulations for managing deleterious plant-feeding aphids. The formulation may utilize alternative and integrated strategies. However, leaf spraying even under controlled conditions may affect aphid reproduction and mortality. This study examines leaf spray applications for optimum and reproducible aphicidal results using tobacco leaves overlaid on cotton fabric or water agar surfaces. Infestation of the undersides of tobacco leaves with nymphs of green peach aphids was used in the assays. Spray distance and volume were optimized using water-sensitive paper to ascertain the best surface coverage. Overlays of the leaves on water agar caused less mortality and greater reproduction than the use of cotton fabric. The relative humidity of the insect-rearing chambers changed with the watering regime for the insect - rearing chambers with cotton fabric; 60% relative humidity was optimal. Relative humidity was not affected by the concentration of agar in the water agar chambers. Applications of the chemical aphicidal standard, Sulfoxaflor, under the optimized conditions exhibited similar times for lethality although the rate was faster with leaves on the cotton fabric than on water agar. These studies establish reproducible and sensitive techniques for assessing the lethality and effects on reproduction of potential aphicidal products.

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.

Emotion AI, a subset of AI that measures, understands, responds to, and elicits human emotions, is an emerging area that has great potential for advertising research and practice. Studies on the applicability of emotion AI in advertising and marketing have been growing in academic journals. This rapidly burgeoning scholarship creates a need for advertising scholars to comprehend the current status of the research on emotion AI in advertising as well as opportunities and challenges that this new technological development will bring to. Thus, this study aims to offer an overview of research on emotion AI in advertising to identify the scope of existing research, gaps in knowledge, and opportunities and challenges that lie ahead.

This study is to identify the maintenance service quality of eco-friendly cars, which are rapidly increasing recently. Research is conducted by synthesizing research from the perspectives of internal employees and external customers by using the service profit chain model. Specifically, it is to study the overall structural relationship between internal customer satisfaction, physical quality, interaction quality, outcome quality, external customer satisfaction and long-term orientation. For the study, 202 questionnaires were collected from internal employees and 204 questionnaires from external customers. The results of testing the research hypotheses targeting the internal employee group are as follows. As a result of testing hypothesis 1, internal customer satisfaction has a significant positive (+) effect on physical quality and interaction quality. As a result of testing hypothesis 2, the service quality of eco-friendly car maintenance has a significant positive (+) effect on each other. As a result of testing hypothesis 3, physical quality and outcome quality have a significant positive (+) effect on external customer satisfaction. The results of testing the research hypotheses targeting an external customer group are as follows. As a result of testing hypothesis 2, in the relationship between eco-friendly car maintenance service quality, physical quality has a significant positive (+) effect on interaction quality, and interaction quality has a significant positive (+) effect on outcome quality. As a result of testing hypothesis 3, interaction quality and outcome quality have a significant positive (+) effect on external customer satisfaction. As a result of testing Hypothesis 4, external customer satisfaction has a significant positive (+) effect only on intention to reuse. Finally, as a result of examining the difference in perception between the internal employee group and the external customer group in eco-friendly car maintenance service quality and external customer satisfaction, it was verified that there was a significant difference only in outcome quality and external customer satisfaction.

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.

2007년 메타버스 로드맵에서 메타버스 정의가 공식 발표된 바 있으며, 당시 국내외 연구자들에 의해 많은 논문이 발표되면서 학문적 이론적으로 정립하려는 노력을 해왔다. 이와는 달리, 산업계에서는 ‘메타버스’키 워드가 비대면 장기화와 맞물려 과열 양상을 보이고 있다. 정작 언급되는 메타버스 성공사례는 '게임'이거나 '게이미피케이션' 또는 ‘게임융합’ 사례가 다수다. 따라서, '메타버스'영역에도 게이미피케이션 이론과 원리의 적용은 바람직하다. 이에, 필자가 발표했던 DMGL 모델을 확장하여, 메타버스 내 습관형성 위한 다이내믹 모델을 제시하였다. 저자는 플레이어 경험을 향상시키기 위해 메타월드 습관 형성을 위한 4가자 양상의 모 델을 제안했다. P1) 플레이어는 세계관에 따라 전개되는 배경스토리를 따르며, 유발된 호기심으로 탐험할 동 기가 생성되고 게임의 조작법을 익히고 게임의 목표를 향하는 여정이다. P2) 플레이어는 메타월드의 조작법 익히기 단계로 온보딩 한다. P3) 플레이어는 아바타 꾸미기,아이템 획득/거래,커뮤니티 활동 등을 수행하면 서, 점차 목적(표)를 향한다. P4) 플레이어는 목적기능을 바로 수행할 수 있는 방식으로 온보딩한다. 이 모델 은 게임의 원리와 요소의 융합(게이미피케이션)으로, 후속연구에서 보다 심도 있는 연구 모델을 제시할 예 정이다.

Expression changes of stress-induced peroxidase (swpa2 and swpa4) and storage root-specific sporamin (spo-A and spo-B) genes were examined using qRT-PCR after treatment with wounding and bacterial pathogens on leaves of sweetpotato (Ipomoea batatas) plants. As a result of examining the expression change in the wounding treatment condition for 48 hours after treatment, which is a representative physical stress, the expression of all genes increased after 12 hours of wounding treatment, but the expression pattern of each gene group showed distinct differences thereafter. Expression levels of swpa2 and swpa4 strongly increased up to 36 or 48 hours after wounding treatment, whereas spo-A and spo-B expression levels strongly decreased after 24 or 36 hours after wounding treatment. Peroxidase and sporamin genes are involved in the early response after wounding treatment and, in particular, the peroxidase swpa2 and swpa4 genes are also involved in the late response after wounding treatment. Gene expression analysis after infection with P. chrysanthemi, which causes softness in sweetpotato, showed that the swpa2 and swpa4 genes were weakly induced after 8 hours and then strongly induced after 20 hours during pathogen infection. Expression of the spo-A gene was weakly induced in the pathogen-treated group after 20 hours, whereas spo-B showed an expression pattern similar to that of the peroxidase genes. The above results indicate that expression of the stress-induced peroxidase gene used in this study is induced not only by abiotic stress but also by biological stress caused by bacterial pathogen invasion and that peroxidase plays an important function in the initial defense response.

게임플레이는 플레이어가 게임과 상호작용을 진행하면서 게임 상황에 대한 판단과 행동의 일련의 과정의 반복이라고 볼 수 있다. 잘 설계된 게임플레이는 플레이어로 하여금 게임에 몰입하도록 유도하며, 지속적으 로 몰입상태를 유지할 수 있도록 한다. RPG에서 게임플레이의 핵심과정중 하나는 몬스터와 상호작용하는 것이다. 일반적인 RPG의 몬스터는 패턴플레이로 구성되어 반복적으로 플레이가 진행되는 상황에서 지루함 을 유발하는 요인으로 작용한다. 이로 인해 게임을 플레이하는 플레이어중 고 레벨 플레이어는 레벨업을 위 해 습득해야 하는 경험치의 양의 증가로 인해 같은 필드에서 같은 몬스터를 오랜 시간동안 플레이하는 것 이 일반적이어서 시간이 지날수록 투자한 시간과 성취욕구 사이에서 만족도가 떨어지는 문제점이 발생한다. 본 연구에서는 플레이어의 성장과정에서 몬스터가 제공하는 정보에 대한 위계의 설정을 통하여 플레이어의 인지과정에 패턴의 변수를 인식하게 하여 다양한 게임플레이가 가능하도록 하며 이를 바탕으로 플로우 (Flow) 과정에서 경험하는 지루함의 요소를 극복하고 지속적으로 몰입과정을 느낄 수 있도록 한다.

Non-destructive estimation of leaf area is a more efficient and convenient method than leaf excision. Thus, several models predicting leaf area have been developed for various horticultural crops. However, there are limited studies on estimating the leaf area of strawberry plants. In this study, we predicted the leaf areas via nonlinear regression analysis using the leaf lengths and widths of three-compound leaves in five domestic strawberry cultivars (‘Arihyang’, ‘Jukhyang’, ‘Keumsil’, ‘Maehyang’, and ‘Seollhyang’). The coefficient of determination (R2) between the actual and estimated leaf areas varied from 0.923 to 0.973. The R2 value varied for each cultivar; thus, leaf area estimation models must be developed for each cultivar. The leaf areas of the three cultivars ‘Jukhyang’, ‘Seolhyang’, and ‘Maehyang’ could be non-destructively predicted using the model developed in this study, as they had R2 values over 0.96. The cultivars ‘Arihyang’ and ‘Geumsil’ had slightly low R2 values, 0.938 and 0.923, respectively. The leaf area estimation model for each cultivar was coded in Python and is provided in this manuscript. The estimation models developed in this study could be used extensively in other strawberry-related studies.