It is important to measure the performance of group project but also very important to evaluate the contribution of individual members fairly. The degree of contribution of group members can be assessed by pair-wise comparison method of the Analytic Hierarchy Process. The degree of contribution of group members can be biased in a way that is advantageous to evaluator oneself during the pair-wise comparison process. In this paper, we will examine whether there is a difference in the contribution weight vectors obtained when including evaluator and excluding oneself in the pair-wise comparison. To do this, the experimental data was obtained by making pair-wise comparison in two ways for 15 5-person groups that perform term projects in university classes and 15 pairs of weight vectors for contribution were obtained. The results of the nonparametric test for these 15 pairs of weights vectors are given.

본 연구에서는 Text-to-3D 생성형 AI 기술을 활용하여 메타버스 방 꾸미기 게임의 프로토타 입을 설계하고 구현하고자 하였다. <Roblox>와 <Minecraft>와 같은 가상 현실 기반의 메타버 스 게임은 사용자를 단순한 플레이어에서 창작자인 크리에이터로 발전할 수 있게 하였고 이러 한 재미 요소는 대중적인 인기에 이바지하였다. 생성형 AI는 데이터와 패턴을 기반으로 다양 한 형태의 미디어 콘텐츠를 쉽게 생성할 수 있으며, 게임 개발에도 마찬가지로 유용하다. 이러 한 생성형 AI를 통한 콘텐츠 제작은 시간과 비용을 절약할 뿐만 아니라 결과적으로 콘텐츠의 품질을 높이고 다양성을 확보할 수 있다. 본 연구에서는 언리얼 엔진의 네트워크 프레임워크 를 활용한 리슨 서버(Listen-Server) 방식으로 방 꾸미기 게임을 설계 및 구현하였다. 이 게 임의 핵심 시스템은 메타버스에서 사용자가 쉽게 생성형 AI로 3D 모델을 생성하고, 자신의 방 에 배치할 수 있게 하는 것이다. 본 연구를 통해 코딩 기초 이해는 물론 좀 더 쉬운 방법으로 3D 오브젝트 생성을 통해 사용자가 원하는 메타버스 플랫폼 제작을 가능하게 하며 이러한 과 정은 사용자뿐만 아니라 동시에 창작자의 역할로 이용자의 주체성, 창의성, 의사소통 능력 등 을 향상할 가능성을 찾고자 한다. 그뿐만 아니라 기본적인 코딩 학습을 이해함으로써 사용자 의 창작 활동에 기회를 확장할 뿐만 아니라 메타버스 콘텐츠 개발에 이바지하고자 한다.

This research introduces an innovative approach for evaluating the degree of densification of carbon nanotube (CNT) sheets produced through direct spinning and subsequently treated with organic solvent (specifically ethanol). Analysis of the morphological features of the CNT sheets from the FE-SEM image affirms that the sheet’s structure becomes more densified following the treatment. Based on this, the treated CNT sheet was comprehensively evaluated using Raman spectroscopy. The results indicate a downward shift in the G′ band, signifying the densification of the CNT sheet’s structure due to the C–C bond weakening by the cohesive force. Following ethanol treatment, the CNT sheet exhibited enhanced electrical conductivity and tensile strength, measuring approximately 1.7 × 105 S m− 1 and 138.7 MPa, respectively, a remarkable improvement of roughly 300% compared to the untreated CNT sheet. This study underscores the efficacy of Raman spectroscopy as a powerful tool for assessing the densification of CNT sheets.

In order to predict the process window of laser powder bed fusion (LPBF) for printing metallic components, the calculation of volumetric energy density (VED) has been widely calculated for controlling process parameters. However, because it is assumed that the process parameters contribute equally to heat input, the VED still has limitation for predicting the process window of LPBF-processed materials. In this study, an explainable machine learning (xML) approach was adopted to predict and understand the contribution of each process parameter to defect evolution in Ti alloys in the LPBF process. Various ML models were trained, and the Shapley additive explanation method was adopted to quantify the importance of each process parameter. This study can offer effective guidelines for fine-tuning process parameters to fabricate high-quality products using LPBF.

A surveillance of chigger mites was performed to monitor the incidence of scrub typhus vectors at four environmental collection points in two locations (Sunchang and Haenam) in the Honam region of Korea from August to December 2023. During the surveillance period, 4,174 chigger mites were collected and the predominant species were Leptotrombidium scutellare (94.3%). The density of chigger mites had the peaked at 44 week (10.26~11.1), while the density of patients peaked at 45 week (11.2~11.8) respectively. A positive correlation (r=0.69) observed between scrub typhus patients and vectors. This result suggests that this vector surveillance method will be useful for alarm system of tsutsugamushi disease. However, the relationship between scrub typhus cases and chigger mite density will be studied through long-term periodic surveillance.

2023년 경상북도 상주시 떫은감 과수원에서 잎 표피아래 굴을 파고 들어가면서 원형 또는 부정형의 식흔자국 을 남기는 증상을 관찰하였다. 해충의 유충은 녹색에서 적색으로 변하며 번데기 단계를 거쳐 성충(길이 3㎜, 갈색) 이 되어 탈출하였다. 본 해충에 대해 잎에서의 피해증상과 실험실에서 유전분석 결과 Genbank(GU816671,486bp DNA liner, 2016)에 등재되어 있는 감잎가는나방(Cuphodes diospyrosella)으로 동정되었다. 일본에서 1957년 최초 보고 후 우리나라에서는 주로 경남 창원과 진주의 농약 무살포 및 유기농 단감원에서 발생하였으나, 이번 경북지 역에 처음 발견되어 떫은감 재배 농업인과 현장지도원의 감잎가는나방에 대한 피해증상 진단에 활용할 수 있을 것으로 생각된다.

The large copper butterfly Lycaena dispar (Haworth, 1803; Lepidoptera: Lycaenidae) has been categorized as a near-threatened species (NT) in South Korea from 2012 mainly due to limited distribution. In this study, we visited 36 sites spread across all South Korean provinces to verify the distributional range of the species and sequenced mitochondrial COI for 53 individuals from nine sites. We observed L. dispar at 15 sites in six provinces, including the two previously known provinces, indicating a southward range expansion. The in-field monitoring and genetic data collectively suggested that L. dispar does not have a limited distribution nor is it isolated, indicating that it should be reclassified as less vulnerable. Our study demonstrates that the combination of field and genetic data can provide a more reliable assessment of the stability of a species.

우리는 식물검역 과정에서 검출되는 파리목 유충을 효과적으로 동정하기 위하여 대화형 검색표를 제작하고 있다. 파리목은 농업 분야와 식물검역 분야에서 매우 중요한 해충이며, 특히 과실파리과는 다양한 식물에 피해를 주는 대표적인 분류군이다. 과실파리과는 예전부터 형태, 생태, 분자, 분류, 모니터링, 방제 등 다양한 주제로 연구가 이루어져 왔으며, 현재까지 다양한 연구가 이루어지고 있다. 본 연구에서는 과실파리과를 연구하는데 중요한 기초자료로 활용될 수 있도록 1)과실파리과 유충의 형태학적 특징을 포함하여 2)과실파리과의 일반적인 특징과 3)생태학적 특징 등 관련 정보를 수집하고 분석하여 결과를 종합정리하였다.

Virtual reality (VR) simulation in nursing education, especially in the teaching of VR simulations just prior to clinical practice, has the potential to enhance the effectiveness of clinical practice and better prepare nursing students for patient care. The aim of this study was to evaluate the effect of a preclinical VR simulation education program on the development of critical thinking, self-efficacy, problem-solving ability, and perceived clinical competency among undergraduate nursing students. The study was conducted between May and June 2021 using a pretest-posttest design with a control group. A total of 42 nursing students were recruited through convenience sampling from two separate classes. The intervention group participated in VR simulation education, while the control group engaged in lecture-based education, before beginning clinical practice. Assessments were conducted before preclinical education and after completing clinical practice using structured questionnaires. The data was analyzed using chi-square tests, independent t-tests, and ANCOVA. The findings indicated that the intervention group had a significantly higher score in perceived clinical competency compared to the control group (F = 5.25, p = 0.029) after controlling for pretest scores. However, there were no statistically significant differences in critical thinking, self-efficacy, or problem-solving abilities between the two groups. These findings suggest that preclinical VR simulation education is partially effective in preparing nursing students for their clinical practice, underscoring the need for a balanced educational approach that integrates VR with clinical practice to develop a full spectrum of nursing skills and knowledge.

Since their initial development in 2012, triboelectric nanogenerators (TENGs) have gained popularity worldwide as a desired option for harnessing energy. The urgent demand for TENGs is attributed to their novel structural design, low cost, and use of large-scale materials. The output performance of a TENG depends on the surface charge density of the friction layers. Several recycled and biowaste materials have been explored as friction layers to enhance the output performance of TENGs. Natural and oceanic biomaterials have also been investigated as alternatives for improving the performance of TENG devices. Moreover, structural innovations have been made in TENGs to develop highly efficient devices. This review summarizes the recent developments in recycling and biowaste materials for TENG devices. The potential of natural and oceanic biowaste materials is also discussed. Finally, future outlooks for the structural developments in TENG devices are presented.

이 연구는 1세대 스마트 온실의 재배환경 데이터와 장미 절 화의 품질 특성 데이터를 수집하고 그 요인들 간의 상관 관계 를 분석하여 절화수명 예측 및 최적 환경 조성의 기초 자료를 얻고자 수행되었다. 이를 위해, 토경재배(SC) 및 암면배지경 양액재배(RWH) 하우스 각 1개소를 선정하여 1년간 기온, 상 대습도(RH) 및 수증기압차(VPD), 일적산광량(DLI), 근권온도 등의 환경 데이터와 매월 말 수확된 장미 ‘Miss Holland’ 절 화의 품질 특성 데이터를 수집하였으며, 이 데이터와 절화수 명과의 상관관계를 분석하였다. 절화수명은 10월과 11월을 제외하고는 SC 하우스에서 RWH 하우스보다 더 길었다. 절 화수명과 환경 및 생육 특성 간의 상관관계 분석에서 SC 하우 스의 상관계수는 RWH 하우스보다 조금 더 높았으며, 절화수 명 예측을 위한 요소들도 두 하우스 간에 차이가 있었다. SC 하우스의 절화수명 Y=0.848X1+0.366X2-0.591X3+2.224X4- 0.171X5+0.47X6+0.321X7+9.836X8-110.219(X1-X8: 최고 RH, RH 일교차, DLI, pH, Hunter’s b value, EC, 절화 장, 잎 두께; R2=0.544)로 예측되었고, RWH 하우스의 절화수명 Y=-1.291X1+52.026X2-0.094X3+0.448X4-3.84X5+0.624X6 - 8.528X7+28.45(X1-X7: 경경, 야간 VPD, 최고 근권온도, 최 저 근권온도, 기온 일교차, RH 일교차, 최고 VPD; R2=0.5243) 로 예측되었다. 이 두 모델식으로부터 SC 하우스에서는 RH, EC 및 pH가, 그리고 RWH 하우스에서는 근권 온도가 절화수명에 더 큰 영향을 미친다는 것을 추론할 수 있다. 따라서 각 재배 방법에 따라 장미의 절화수명에 더 큰 영향을 미치는 환경적 요인을 효율적으로 관리할 필요가 있다.

Mecysolobini족에 속하는 Sternuchopsis (Sternuchopsis) waltoni (Boheman, 1844) (메꽃통바구미; 신칭) 암컷 1개체를 한반도의 남단인 부 산의 가덕도 야산에서 떨어잡기를 통해 채집하였다. 이 바구미가 국내 식물방역법상 검역해충으로 지정되어 있어 침입종 또는 자생종 인지 여부를 판단할 필요가 있으나 현재 작물에 대한 피해가 확인되지 않고 있고, 그 밖의 채집정보도 없어 그 판단은 무리가 있다고 생각된다. 본 연구는 이 바구 미에 관한 국내 발생정보를 더 확보하기 위한 정확한 진단정보 및 생태정보를 제공하고자 한다.

Pasture formation and management are crucial to avoid yield reduction. This experiment aimed to examine the effects of tall fescue-centered mixed-seeding combinations on yield and vegetation changes in perennial pastures in the central region for two years, from September 2020 to October 2022. The treatments were arranged in three replications in a randomized block design: control (C), tall fescue-based mixture-1 (T-1), and tall fescue-based mixture-2 (T-2). The tall fescue (TF), orchard grass (OG), perennial ryegrass (PRG), Kentucky bluegrass (KBG), and white clover (WC) were used. The emergency rate of grasses (70.0 to 73.3%) did not differ among mixed seeding combinations. Overwintering rates (81.7 to 83.3%) were similar among treatments. The plant height of grasses was similar at each harvest date, with the highest height (86.2 cm) recorded in the second harvest of the first year, followed by that (58.4 cm) in the third harvest of the first year; it was least (38.9 cm) in the fourth harvest of the second year. There was no significant difference in the dry matter yield of grasses among the mixed seeding combination treatments in the first, third, or fourth harvests of the first year (p>0.05). For second-year grasses, dry matter yield was not significantly different in harvest date among the treatments (p>0.05). Based on mixed seeding ratio, orchard grass showed the highest yield at 70% in the C treatment, followed by tall fescue at 80% and 60% in the T-1 and T-2 treatments, respectively, in the first harvest after seeding. There was no significant difference in feed value between treatments (p>0.05), but a significant difference was observed between the third and fourth harvest (p<0.05). Therefore, it indicated that it is important to create perennial pastures in the central region through mixed seeding combinations centered on tall fescue.

Heavy water (deuterium oxide, D2O) is water in which hydrogen atoms (1H, H), one of the constituent elements of water molecules, have been replaced with deuterium (2H, D), a heavier isotope. Heavy water is used in a variety of industries, including semiconductors, nuclear magnetic resonance, infrared spectroscopy, neutron deceleration, neutrino detection, metabolic rate studies, neutron capture therapy, and the production of radioactive materials such as plutonium and tritium. In particular, heavy water is used as a neutron moderator or coolant in nuclear reactors and as a fuel for nuclear fusion energy, methods for measuring heavy water are becoming increasingly important. There are methods with density, mass spectrometry, and infrared (IR) spectroscopy. In this study, Fourier transform infrared spectroscopy (FT-IR) was used, which is commonly used in IR spectroscopy because of its relatively high analytical sensitivity, low operating costs, and easy online analysis. Heavy water was identified in the range of 2,300-2,600 cm-1 wavenumber (O-D) and the range of 1,200-1,300 cm-1 wavenumber (D-O-D), which are known to be the range with strong infrared absorption. As a result, the linearity of infrared absorbance for each heavy water concentration was confirmed within the relative expansion uncertainty (k=2).