The objective of this study was to assess the effects of gypsum application on dry matter yield (DMY), mineral content of alfalfa (Medicago sativa L.), and soil properties in reclaimed tidal land in South Korea. The experiment was conducted in Seokmun, located on the west coast of South Korea, which is reclaimed with approximately 70 cm depth of degraded island soil. Treatments consisted of a control with no gypsum application (G0), 2 ton ha-1 (G2), and 4 ton ha-1 (G4) of gypsum application. The first harvest was carried out when the alfalfa reached 10% flowering, and subsequent harvests were conducted at 35-day intervals. Over the three-year experimental periods (2019-2021), the total DMY of G2 treatment was significantly higher than those of G0 and G4 (p<0.05). Although both G2 and G4 gypsum application treatments lowered soil pH, the G4 treatment increased the electrical conductivity (EC) content of the soil. Additionally, gypsum application affected the mineral contents of alfalfa, resulting in reduced concentration of sodium (Na) and Magnesium (Mg). Therefore, this present study suggests that a gypsum application rate of 2 ton ha-1 is optimal for improving alfalfa dry matter yield and mineral balance, as well as enhancing soil chemical properties in reclaimed tidal land in South Korea.

Nitrogen fertilizers are generally known to be of great help in improving crop yields, but excessive nitrogen fertilizer usage can not only destroy the environment but also negatively affect crop growth. This study aims to develop a decision-making system for optimal nitrogen fertilizer use for efficient production of Chinese cabbage (Brassica rapa), one of the major vegetables. The proposed system has the functions of detecting farmland based on satellite images, predicting cabbage yields and greenhouse gas (e.g., nitrous oxide) emissions according to nitrogen fertilizer use, and making decisions using the prediction results. To develop the proposed system, a generalized prediction model is developed using experimental data collected from South Korea, Egypt, India, Canada, Lithuania, and China, and the effectiveness of the proposed system is validated through experiments. As a result, the proposed system will enable farmers to conduct eco-friendly agricultural activities through appropriate nitrogen fertilizer use while stably maximizing productivity of Chinese cabbages.

본 연구는 기능성 화장품 소재 개발을 목표로 효모 유래 MPC의 세포 생리활성을 조사하였 다. 피부 세포주에 처리된 Cu와 Zn 이온 모두 세포 독성이 확인되었지만, 정제된 MPC는 결합된 금속 이온의 세포 독성을 획기적으로 제거하였다. 게다가 특정 농도의 MPC는 대조군과 비교하여 세포 생존 율을 오히려 약 20% 증가시켰다. MPC 중 효모 펩타이드-Cu(YP-Cu)는 UVB 자극으로 유도되는 세포 내 활성산소의 양을 약 30% 정도 유의하게 감소시켰지만, YP-Zn은 영향을 미치지 못했다. 또한, YP-Cu 처리는 피부 세포에서 콜라겐 유전자의 발현량을 2배 증가시켰고, 프로콜라겐 분비량은 1.7배 증 가시켰으며, UVB 자극에 의한 콜라겐 유전자의 발현 저해에도 효과적으로 대응했다. 결론적으로, 유리 금속 이온 자체는 세포독성 효과로 인해 화장품 소재에 적합하지 않지만, 정제된 MPC, 특히 YP-Cu는 이러한 금속 이온의 독성을 효과적으로 상쇄하고 세포 생존율을 향상시킬 뿐만 아니라, UVB 자극에 따 른 유해 효과를 완화하기 때문에 잠재적 기능성 화장품 소재로 사용될 수 있다.

Coffee is a major traded item worldwide. Uganda, where the coffee sector provides a livelihood to 1.8 million households, is Africa’s second-biggest coffee exporter. Pests and diseases are significant constraints affecting coffee production. Although the Ugandan government has implemented strategies to assist farmers in addressing these constraints, coffee pests and diseases continue to affect the yield and quality of coffee crops. This ongoing issue highlights the need for more effective and sustainable solutions to protect coffee production in Uganda. This review examined two prevalent diseases and two major pests known to significantly impact Uganda’s coffee systems. It explored strategies that pathogens and pests would utilize to invade and colonize coffee plants. Furthermore, this review evaluated current challenges and prospects for improving coffee pest and disease management. By offering valuable insights and recommendations, it aims to equip agricultural stakeholders with the knowledge needed to develop and implement more effective strategies for combating these persistent threats to coffee production in Uganda.

Rapidly changing environmental factors due to climate change are increasing the uncertainty of crop growth, and the importance of crop yield prediction for food security is becoming increasingly evident in Republic of Korea. Traditionally, crop yield prediction models have been developed by using statistical techniques such as regression models and correlation analysis. However, as machine learning technique develops, it is able to predict the crop yield more accurate than the statistical techniques. This study aims at proposing the onion yield prediction framework to accurately predict the onion yield by using various environmental factor data. Temperature, humidity, precipitation, solar radiation, and wind speed are considered as climate factors and irrigation water and nitrogen application rate are considered as soil factors. To improve the performance of the prediction model, ensemble learning technique is applied to the proposed framework. The coefficient of determination of the proposed stacked ensemble framework is 0.96, which is a 24.68% improvement over the coefficient of determination of 0.77 of the existing single machine learning model. This framework can be applied to the particular farmland so that each farm can get their customized prediction model, which is visualized by the web system.

This study examined the feeding behavior and growth performance of 31 Hanwoo steers (10 months old; 278 ± 36.13 kg) within a precision livestock farming system using Roughage Intake Control (RIC) units for real-time data collection. Feeding behavior traits were derived from RIC database data using R software, with subsequent analysis conducted using SAS software. The results indicated that the steers visited the feed stations every 31.12 ± 11.99 minutes, averaging 11 ± 3.37 visits/day. Each feeding session lasted an average of 5.90 ± 1.55 minutes, resulting in a feed intake rate of 77.98 ± 22.53 g/min. Mean daily feed intake was 4.76 ± 1.36 kg, and body weight increased consistently, reaching an average of 412 ± 43.44 kg, with an average daily gain (ADG) of 1.26 ± 0.38 kg. Pearson correlation analysis revealed a strong relationship between daily feed intake and visit duration (r² = 0.621; p < 0.01) and an inverse correlation between daily feed intake and feed intake duration (r² = −0.445; p < 0.05), indicating behavioral adaptation. These findings highlight the importance of monitoring feeding behavior traits concerning growth performance, enhancing our understanding of individual animal behavior and its implications for productivity while emphasizing the role of advanced technologies in optimizing feed utilization in confined livestock systems.

이 연구는 조직 내 인하우스 PR종사자들의 직업 특성과 전문성 등을 밝혀내어 PR종사자의 직무특성을 파악하는 것을 목표로 하였다. 연구자 는 PR직무의 위상이 높아졌다는 기존 연구 결과와 달리 종사자들이 자 신의 업무에 대해 냉소적인 반응을 보이는 점에 착안하여 스스로 해석하 는 직무 정체성을 탐색하기 위해 연구를 시작하였다. 현장의 생생한 해 석을 위해 심층인터뷰를 통해 귀납적으로 도출해 내는 질적 연구방법론 을 사용하였다. 인터뷰를 통해 PR실무자가 해석하는 직무 특성을 개념화 하여 기존의 PR전문성과 직무 특성을 새롭게 정의하였다. 연구 결과에 따르면 직업 정체성에서 전문성의 가장 중요한 요소는 ‘관계 능력’이었 다. 특히 본 연구는 관계능력이 PR직무의 핵심적 특징임을 밝혀 PR직무 의 전문성에 대한 속성을 규명하였다. 관계 노동의 특성은 상대에 따라 달라져야 한다는 점에서 PR직무 특성의 새로운 측면을 살펴 볼 수 있었 다. 본 연구는 한국의 PR환경에서 종사자들의 직무정체성을 살펴보고 향 후 PR직무의 발전과 전문성 확보를 위한 방향을 제시했다는 점에서 의 의가 있다.

This study aimed to determine how 15 weeks of Tai Chi training affected attention and brain waves. Thirty-six university students (mean age = 24.27 years; SD = ±1.054) participated in this experiment. Participants practiced form postures from the first section of form 85 of the traditional Yang style of Tai Chi Chuan. The Frankfurt Attention Inventory (FAIR) was used to assess each participant’s level of attention. The sensorimotor rhythm (SMR) power analysis demonstrated that participants in the Tai Chi group show higher SMR power than the control group. This study showed that Tai Chi Chuan increases theta and alpha waves by relaxing the body and mind, as well as through soft and slow movement and deep breathing. It reduces fast beta waves, which stabilizes the brain and improves attention. FAIR results showed that 15 weeks of Tai Chi training improved selective ability, control index, and persistence index. These findings suggested that Tai Chi is an exercise that helps improve attention.

본 논문은 모바일 폰 사진을 활용하여 도시 공간에서 전력선과 건물 사이의 거리를 편리하게 모델링하고 측정하는 방법에 중점을 두고 있으며, 이에 대한 정확성을 평가하였다. 모바일 장 치용 2뷰 지오메트리를 사용한 전력선과 건물의 3D 재구성 방법을 설계하여 어디에서나 즉시 측정할 수 있도록 하였다. 특징점을 사용하여 전력선과 건물 사이의 거리를 계산하고 건물 정 보를 활용하여 게임 가상 공간에 전력선과 전주를 배치할 수 있다. 본 논문에서는 대전시 내 10개의 위치에서 실험을 실시하고, 상업용 시스템과 LiDAR가 있는 경우와 없는 경우를 포함 한 이전 방법과의 성능을 평가하였다. 우리의 방법을 스마트폰에 구현했기 때문에 장점은 휴 대성과 저렴함이다.