The increasing emergence of wildlife-origin infectious diseases poses a growing threat to both public health and ecological stability. The One Health approach offers a comprehensive framework that recognizes the interconnection of human, animal, and environmental health, emphasizing the need for integrated strategies in disease prevention. This review explores the role of wildlife rescue centers as strategic frontline platforms in a broader surveillance system. These centers, by systematically collecting and accumulating baseline health data from rescued wildlife, can contribute to the construction of a big data-driven monitoring network. Such a network not only enables early detection of pathogens but also supports long-term health monitoring of wildlife populations. Furthermore, it provides a scientific foundation for the conservation of endangered species, as many of these animals are frequently admitted to rescue centers due to disease or injury. We propose a comprehensive surveillance strategy that leverages the potential of data generated by wildlife rescue centers to enhance early warning systems, inform biosecurity policies, and strengthen ecosystem resilience. Ultimately, integrated disease monitoring will improve our capacity to detect, predict, and prevent infectious threats while safeguarding both biodiversity and public health. Furthermore, rescue centers play a pivotal role in collaborative research, public health preparation, and policy development, serving as essential hubs within the national disease control system.
Background: Heat stress during summer impairs reproductive performance in sows, causing summer infertility. Cytochrome P450 1A2 (CYP1A2) plays a crucial role in steroid hormone metabolism in the liver and has been shown to be upregulated under stress conditions. However, the effect of seasonal heat stress on CYP1A2 expression in sow ovaries remains poorly understood. Methods: Ovaries were collected from crossbred sows during different seasons in Korea. The control group (CON) was exposed to optimal temperatures for swine rearing (22.0-24.5℃) during spring, while the heat-stressed group (HS) experienced high temperatures (30.5-37.0℃) during summer. Temperature-humidity index (THI) was calculated to assess thermal stress severity. CYP1A2 expression was analyzed using Western blotting and immunohistochemistry (IHC), and these values were statistically compared with THI by Pearson’s correlation analysis. Results: The HS exhibited significantly higher THI values compared to the CON (88.11 vs. 66.67). Western blot analysis revealed significant upregulation of CYP1A2 expression in the HS compared to CON (1.89 vs. 1.00). IHC demonstrated that CYP1A2 was specifically localized in granulosa cells of mature follicles, with a significantly higher proportion of CYP1A2-positive follicles in the HS (15.92%) compared to CON (9.08%). When the obtained values were compared with THI values, CYP1A2 expression showed a strong positive correlation with THI (r = 0.41 and 0.74). Conclusions: This study revealed that heat stress can alter the ovarian microenvironment, including the expression of CYP1A2. These findings emphasize the need for effective thermal management strategies to mitigate heat stress-induced reproductive dysfunction in livestock production.
To address the issues of slow magnetization current tracking speed, prolonged magnetization time, and low accuracy during magnetic particle testing of ship castings, forgings, and welded components, this study designed a high-precision rapid current tracking control system. By integrating the predictive characteristics of the Newton interpolation algorithm with the robustness of PID control, a compound control algorithm with a pre-judgment mechanism was developed. An innovative three-phase zero-crossing detection circuit architecture was also implemented, combining high-speed A/D converters and CS5460 chips to optimize current tracking methods, resolving the conflict between initial tracking phase deviation and dynamic process overshoot in conventional approaches. Experimental results demonstrated that this method significantly improves magnetization speed, achieving target current tracking within 0.5 seconds with errors below 2%, meeting the design requirements for non-destructive testing in ship welding applications.
Small and medium-sized manufacturing enterprises(SMEs) have traditionally relied on skilled labor to support multi-variety, small-batch production. However, demographic changes such as low birth rates and aging populations have led to severe labor shortages, prompting increased interest in collaborative robots(cobots) as a viable alternative. Despite this necessity, many SMEs continue to face significant challenges in implementing such technologies due to technical, organizational, and environmental(TOE) constraints. While prior research has mainly focused on technology adoption from the perspective of user organizations, this study adopts a differentiated approach by analyzing adoption factors from the perspective of smart factory experts—specifically, evaluators/mentors and solution providers—who play a critical role in Korea’s policy-driven smart manufacturing environment. Using the Analytic Hierarchy Process(AHP), the study evaluates the relative importance and prioritization of adoption factors across three dimensions: technology, organization, and environment. Survey data collected from 20 smart factory experts indicate that top management support, relative advantage, and safety are key determinants in cobot adoption. Furthermore, the findings reveal that organizational readiness and technical effectiveness have greater influence on implementation decisions than external pressures such as partner pressure. This study provides new insights by incorporating expert perspectives into the adoption framework and offers practical policy and managerial implications to support cobots implementation in the SMEs.
Porcine edema disease (ED) is an enterotoxemia of pigs caused by Escherichia coli that produces Stx2e. In this study, the protective efficacy of a recombinant modified Stx2e toxoid was evaluated as a vaccine candidate against ED in piglets. The recombinant Stx2e toxoid was expressed and purified using a commercial E. coli expression system. A total of 25 piglets were used and divided into 5 groups (A to E), with 5 piglets in each group. All piglets (except those in group A) were intramuscularly immunized at 5 days of age (0 weeks post prime immunization; 0 WPPI) and again at 3 weeks of age (2 WPPI). Group B piglets were inoculated with sterile PBS, while groups C to E were immunized with 25 μg/piglet, 50 μg/piglet, and 100 μg/piglet of the recombinant toxoid, respectively. All piglets in groups B to E were orally challenged with virulent wild-type Stx2e⁺ F18⁺ E. coli isolates at 5 weeks of age (4 WPPI). Serum IgG titers in groups D and E were significantly increased from 2 WPPI until the end of the study. Furthermore, no clinical signs were observed in groups A and E during the 7 days following the challenge, while clinical signs of ED were observed in 80%, 60%, and 20% of piglets in groups B, C, and D, respectively. These results indicate that intramuscular vaccination with 100 μg/piglet of the recombinant modified Stx2e toxoid can provide effective protection against ED in piglets.
Oral language comprehension (OLC) and vocabulary depth are widely recognized as key predictors of reading comprehension. However, research has either provided a limited representation of OLC or failed to acknowledge the distinctive predictive nature of vocabulary depth. This study investigates the combined contributions of OLC, conceptualized as a unified composite of foundational language variables and compares its effects on reading comprehension to vocabulary depth, while accounting for writing abilities. A total of 169 advanced Korean university EFL students were tested on listening comprehension, grammar knowledge, vocabulary breadth, vocabulary depth, and reading comprehension in English. SEM analyses revealed that both OLC and vocabulary depth made unique contributions to reading comprehension, with OLC demonstrating relatively stronger predictive power. Writing abilities did not show significant effects when OLC and vocabulary depth were considered in the same model. These findings underscore the independent predictive roles of OLC and vocabulary depth in L2 reading comprehension and highlight the importance of integrating these constructs into EFL pedagogical practices.
목적 : 본 연구는 사진 계측법과 스마트 센터링 장치 계측법을 사용하여 누진 굴절력 렌즈 처방을 위한 누진대 길이와 매개변수 측정에 활용할 수 있는 자료를 제공하고자 하였다. 방법 : 사진 계측 장치를 이용하여 누진 굴절력 렌즈 처방에 필요한 매개변수인 광학 중심점 높이, 정점 간 거 리, 경사각, 안면각을 측정하였다. 또한 근거리 작업 자세를 분석하여 누진대 길이 처방에 참고 값으로 활용할 수 있는 하방 안구 이동량을 산출하였다. 이후 측정한 매개변수와 하방 안구 이동량을 스마트 센터링 장치를 이용하여 측정한 값과 비교하였다. 결과 : 원거리 및 근거리에서 나안으로 광원을 인지할 수 있는 시력 이상의 성인 남녀 25명을 대상으로 하였다. 사진 계측법을 이용하여 산출한 하방 안구 이동량은 평균 10.12±3.33 mm로 측정되었으며, 작업 거리가 짧아질수 록 길게 측정되었다(r=-0.418, p<0.050). 사진 계측법과 스마트 센터링 장치 측정법의 매개변수 측정값을 비교한 결과, 원거리 및 근거리 작업 거리에서 단안과 양안의 동공 중심 간 거리와 안면각은 통계학적으로 유의한 차이가 없었으나(p>0.050) 수직적인 머리 움직임에 영향을 많이 받는 광학 중심점 높이, 정점 간 거리, 경사각은 유의한 차이가 있었다(p<0.050). 하방 안구 이동량은 스마트 센터링 장치로 측정한 값이 9.67±1.99 mm로 사진 계측법 으로 측정한 값보다 0.46±3.35 mm 더 작게 측정되었으나, 통계학적으로 유의한 차이는 없었다(p>0.050). 결론 : 본 연구는 근거리 작업 자세와 하방 안구 이동량을 분석하고 사진 계측법과 스마트 센터링 장치 측정법 을 비교하여 누진 굴절력 렌즈 처방에 필요한 누진대와 매개변수 측정에 대한 기초 자료를 제시하였다.
본 연구는 저관리형 거리화단 화훼경관용 초화류 식물 선발을 위하여, 4종의 초본화훼식물(Zinnia elegans, Salvia splendens, Catharanthus roseus, Gomphrena globose )을 대상으로 무관 수 처리에 따른 내건성을 구명하고자 실시하였다. 4종 식물의 영구위조점을 알아본 결과, 무관수 후 백일초가 23일째 가장 먼저 고사하였고, 그 다음으로 살비아는 29일째, 일일초는 51일 째, 천일홍은 61일째에 고사하였다. 무관수 처리에 따른 4종의 용적수분함량 변화를 비교한 결과, 용적수분함량은 무관수 이후 지속적으로 감소하였고, 용적수분함량이 0%에 도달한 것은 백 일초가 무관수 16일째로 가장 빨랐으며, 그 다음으로 살비아 25일, 일일초 35일, 천일홍 40일 순으로 나타났다. 4종의 지상 부생체중의 감소율을 영구위조점에서 보았을 때 4종의 식물중 백일초의 감소율이 가장 높았고, 그 다음은 살비아, 천일홍, 일일초 순으로 높게 나타났다. 또한 지상부와 지하부 건물중의 증가율은 일일초가 가장 높았으며 통계적으로 유의하였다. 무관 수 처리에 따른 광합성 형광 변수 중 하나인 Fv/Fm 측정 결과, 백일초는 일시위조점인 15일째부터 감소하였고, 살비아는 무관 수 29일째, 일일초는 37일째, 천일홍은 43일째부터 감소하였 으며, 통계적으로 유의하였다. 무관수 처리에 따른 4종의 각 개체별 측정된 식생지수의 변화를 알아본 결과, 정규식생지수 (normalized difference vegetation index, NDVI), 광화학 반사율 지수(photochemical reflectance index, PRI), 안토 시아닌 반사율 지수(anthocyanin Reflectance Index, ARI) 가 무관수 기간동안 백일초, 살비아보다 일일초, 천일홍이 장기 간 건강한 잎의 범위에 속하였다. 본 연구결과를 종합해 볼 때, 저관리형 거리화단 화훼경관용 식물 선정 시 거리화단의 수분관 리 측면을 고려한다면 무관수 처리 후 약 50-60여 일간 생존하 여 내건성이 강한 것으로 나타난 일일초, 천일홍이 저관리형 거리화단 화훼경관 조성 시 적용 가능성이 매우 높은 식물로 판단되었다. 거리화단 화훼경관 조성 후 물관리가 어려운 거리 화단 화훼경관의 지속적인 유지, 관리에 대한 어려움이 부각되 어왔다. 따라서 저관리형 거리화단 화훼경관용 식물의 다양한 적용 및 관리를 위해서는 향후 보다 많은 식물종을 대상으로 한 실험뿐만 아니라 식물 내에서 품종 간의 비교에 대한 후속 연구도 필요한 것으로 생각되었다.
Background: Dairy cows exposed to heat stress have reduced milk production, milk quality, and conception rates, leading to lower profits. This study was conducted to analyze the effect of heat stress according to Temperature-Humidity Index (THI) on the milk production of Korean Holstein cows. Methods: Monthly maximum temperature and average relative humidity data from January 2017 to August 2024 were obtained from 62 observation points used by the Korea Meteorological Administration to calculate the national average. Using this data, the THI, a key indicator for assessing heat stress in Korean Holstein cows, was calculated. Additionally, data from 240,088 Korean Holstein cows, collected through tests conducted by the Dairy Cattle Improvement Center of the NH-Agri Business Group, were analyzed. Results: Comparative analysis of the relationship between THI and milk production revealed that milk yield remained relatively stable until THI reached the “very severe” heat stress threshold (THI ≥ 79). Beyond this level, milk production showed a tendency to decline. Conversely, when THI dropped below this threshold, milk yield tended to recover. Notably, the temperature in September, typically considered part of the autumn season, has been rising in recent years, with THI values now approaching the very severe stress level (THI ≥ 79). Conclusions: These findings suggest that establishing an appropriate farm environment and implementing systematic THI management are essential for mitigating the decline in milk production, as well as the associated economic losses, caused by rising domestic temperatures due to global warming.
This study investigated the flowering response of three Korean native Aster species, namely A. hayatae, A. spathulifolius, and A. koraiensis, to varying photoperiods. Three-month-old plants propagated from cuttings were grown under four different photoperiods: 9, 12, 14, and 16 h. Aster hayatae flowered under all conditions, with flowering rates of 92%, 85%, 65%, and 27% under 9-, 12-, 14-, and 16-h photoperiods, respectively. Flowering in A. hayatae was promoted by shorter photoperiods, classifying it as a facultative short-day plant. Aster spathulifolius flowered only under 9- and 12-h photoperiods, with no significant difference between these treatments, suggesting that the species is an obligate short-day plant. However, given the low A. spathulifolius flowering rates of 27% and 13% under 9- and 12-h photoperiods, respectively, further research is required. Aster koraiensis did not flower under any photoperiod, possibly due to vernalization requirements or juvenility. These findings offer valuable insights into the photoperiodic flowering responses of these three Korean native Aster species, enhancing our understanding of their ecological traits and potential horticultural applications.
Emerging RNA viruses continue to pose serious threats to animal and human health, necessitating the development of broad-spectrum antiviral agents within a One Health framework. In this study, we evaluated the antiviral potential of Desmodesmus multivariabilis extracts against three representative RNA viruses: influenza A virus (IAV), porcine epidemic diarrhea virus (PEDV), and hepatitis A virus (HAV). Extracts derived from four closely related microalgal isolates were tested using pre- and post-treatment protocols in vitro. Among them, strain ME749 demonstrated the most potent and consistent antiviral activity, with low cytotoxicity and high selectivity index (SI), particularly against IAV (SI = 23.8), followed by PEDV (SI = 10.7) and HAV (SI = 6.2). ME752 also showed moderate antiviral efficacy. RT-qPCR confirmed significant reductions in viral RNA levels for all three viruses, with ME749 achieving up to 3-log₁₀ reduction in IAV and 2.4-log₁₀ reduction in HAV. These results suggest that the antiviral effect may be mediated through mechanisms beyond direct virucidal activity, potentially involving host immune modulation. Although the active compounds remain unidentified, carotenoids are hypothesized as key bioactive components. This study highlights Desmodesmus multivariabilis, particularly ME749, as a promising source of novel, natural antiviral agents with applications in both veterinary and zoonotic disease control. Future studies including metabolomic profiling, mechanism-of-action analyses, and in vivo validation are warranted to further explore its potential in combating current and emerging RNA virus threats.
Hallucinations represent a transdiagnostic phenomenon observed in multiple neuropsychiatric disorders, including schizophrenia, substance use disorder and substance-induced psychotic conditions. Despite their clinical prevalence, objective assessment remains challenging due to its subjective nature, underscoring the critical need for validated translational models. The present study explores the biological mechanisms underlying hallucinations, evaluates the animal models developed to date, and discusses methods for analyzing these models along specific pathways. Hallucinations are primarily mediated through glutamatergic and/or serotonergic pathways. Numerous animal models for assessing hallucinations have been extensively reported; however, these models have mainly been designed to investigate specific neurotransmitter mechanisms, rather than encompassing all relevant pathways. Therefore, this study systematically examines currently established animal models based on the aforementioned neurotransmitter mechanisms and proposes future directions for developing universal animal models capable of comprehensively evaluating hallucinatory phenomena. The present study aims to provide deeper insights for future research involving animal models of hallucination.
Fabry disease is an X-linked lysosomal storage disorder caused by GLA mutations, leading to a deficiency in α-Galactosidase A activity and subsequent accumulation of globotriaosylceramide (Gb3). This accumulation contributes to progressive multiorgan dysfunction, with cardiovascular complications, particularly endothelial dysfunction and left ventricular hypertrophy being major drivers of disease morbidity and mortality. Although enzyme replacement therapy is currently the standard treatment, its effectiveness is limited in addressing advanced cardiovascular pathology. To better understand Fabry-associated vascular and cardiac phenotypes, an isogenic human induced pluripotent stem cell (hiPSC) model in which GLA was knocked out was developed using CRISPR/ Cas9. GLA-knockout (GLA-KO) hiPSCs were differentiated into endothelial cells (ECs) and cardiomyocytes (CMs) to evaluate disease-relevant phenotypes in vitro . GLA-KO ECs exhibited normal morphology and differentiation capacity but showed markedly impaired tube formation, high expression of inflammatory genes ICAM1, VCAM1, and SELE, and increased mitochondrial and cytoplasmic reactive oxygen species levels. GLA-KO CMs demonstrated enlarged cell size and nuclear translocation of NFATC4, consistent with hypertrophic remodeling. Together, these findings recapitulate key features of Fabry vasculopathy and cardiomyopathy in a genetically defined, human-derived system. This platform enables direct investigation of Gb3-induced oxidative and inflammatory mechanisms and provides a valuable model for the preclinical evaluation of therapeutic strategies targeting the cardiovascular manifestations of Fabry disease.
This study aims to enhance kiosk accessibility for digitally vulnerable users by designing and implementing a new type of kiosk interface that integrates AI-based motion and speech recognition technologies with gamification elements. Users can explore functions without touch using hand gestures and naturally learn how to operate the system through immersive interactions with mini-games. To evaluate the system’s effectiveness, a Focus Group Interview (FGI) was conducted with older adults, and a heuristic evaluation was carried out with UI/UX experts. The results showed that the proposed interface effectively lowered entry barriers and encouraged repeated use. However, some improvements were identified in visual guidance elements. This study goes beyond conventional UI improvements and serves as an experimental attempt to innovate kiosk user experience through AI technologies and gamified design.
목적 : 본 연구는 고등학생들이 학교에서의 장애 학생과 접촉 경험이 장애인에 대한 인식 및 관심에 미치는 영향을 알아보고 또한 시각장애 체험 프로그램의 유익성 평가에 미치는 영향에 대해 조사하고자 한다. 방법 : 비장애 고등학생(176명)을 대상으로 장애인에 대한 인식과 관심, 학교생활에서 접촉 경험 등에 관 한 설문조사를 진행하였으며, 시각장애 체험 장비를 활용하여 체험 프로그램을 진행 후 장애체험 관련 설문을 추가로 실시하였다. 자료 분석을 위하여 IBM SPSS Statistics 21.0을 통한 기술통계분석, 빈도분석, 다중회귀 분석 방법을 활용하였다. 결과 : ‘장애인에 대한 인식 및 관심’과 ‘시각장애 체험 프로그램 유익성 평가’ 와 관련된 세부 항목들에서 전반적으로 긍정적인 인식을 가지고 있는 것으로 확인되었다. 응답자의 학년이 높을수록, 장애 학생과 반에서 함께 생활 경험이 있는 응답자일수록 장애인에 대한 긍정적 인식이 높은 것으로 나타났다. ‘장애인에 대한 인 식’이 긍정적일수록 장애인에 대한 관심이 높은 것을 확인하였다. 응답자의 연령과 학년이 높을수록 시각장애 체험프로그램에 대한 평가가 긍정적으로 확인되었고, 장애 학생과 반에서 함께 생활한 경험이 없는 응답자일 수록 시각장애체험 프로그램에 대한 평가가 긍정적으로 나타났다. 결론 : 비장애 학생들의 장애인에 대한 인식과 관심이 전반적으로 긍정적이였으며 시각장애인과의 접촉 경 험이 적은 학생들에게 시각장애 체험프로그램을 적용 시 장애인에 대한 인식 및 관심을 제고시키는데 도움이 된다.
Due to cognitive differences, traditional perceptual engineering (KE) frequently relies too heavily on designers' experience in analyzing customers' emotional demands, which can result in product designs that deviate from users' expectations. This work suggests a thorough evaluation approach that combines the particle swarm optimization-support vector regression (PSO-SVR) model and perceptual engineering to increase the scientificity and precision of design choices. The approach first determines the subjective weights of users' emotional needs using spherical fuzzy hierarchical analysis (SFAHP). Next, it uses the entropy weighting method to determine the objective weights. Finally, it combines the subjective and objective data using game theory to produce a more rational evaluation system. Finally, the emotional prediction model based on PSO-SVR is constructed to realize the accurate mapping between emotional needs and design features. The empirical study shows that“speed”, “dynamic”and“luxury” are the core emotional demands of users, and the algorithm's prediction results are highly consistent with users' actual evaluations, which strongly verifies the accuracy of the model. Compared with the traditional KE method, the model better integrates subjective experience and objective data and provides more practical support for the design of flybridge yachts.
본 연구는 우리나라에 자생하는 목본 관상용 식물인 먼나무 (Ilex rotunda)와 으름덩굴(Akebia quinata)을 대상으로 삽목 효율을 분석하였다. 삽수는 녹지와 숙지로 구분하고 생장조절 제 indole-3-butyric acid (IBA)와 시판용 발근촉진제 루톤 (Rootone)을 처리하여 대조군과 비교하였다. 그 결과, 발근율 (녹지, 숙지)은 먼나무(50.9, 19.0%) 및 으름덩굴(52.8, 28.5%) 로 두 수종 모두 숙지보다는 녹지가 손쉽게 발근되었다. 생장조절 제의 발근 촉진 효과는 녹지보다는 숙지에서 두드러졌으며, 생장 조절제 효과는 두 수종에서 상이하게 나타났으며, IBA와 루톤에 대한 두 수종의 발근 반응이 다르게 나타냈다. IBA 1,000ppm 처리는 먼나무의 발근을 촉진시켰고(65.9%) 으름덩굴에서는 고 사에 따른 발근율 저하를 야기하였으며(5.0%), 오히려 으름덩굴 은 루톤 처리로 발근이 촉진되었다(83.3%).
The emergence and re-emergence of infectious diseases pose ongoing threats to public health. This study aims to develop an agent-based simulation model (ABM) to predict the spread of novel infectious diseases during early outbreak phases and evaluate the effectiveness of control measures, specifically focusing on the impact of interventions such as maskwearing, vaccination, and social distancing on outbreak dynamics and the reduction of symptomatic cases. Using demographic and COVID-19 outbreak data from South Korea, we constructed a detailed contact network model encompassing workplaces, schools, households, and communities. Using demographic and COVID-19 outbreak data from Seoul, South Korea, we constructed a detailed contact network model encompassing workplaces, schools, households, and communities. Key transmission parameters were inferred using Approximate Bayesian Computation. The resulting ABM platform, implemented in a C-based R package, allows for flexible scenario simulation involving 56 adjustable parameters, including mask-wearing, vaccination coverage, and social distancing. Simulation outputs demonstrated the model’s capacity to reproduce observed transmission patterns in workplace and school outbreaks, enabling public health authorities to anticipate outbreak dynamics and assess interventions. This framework provides a valuable decision-support tool for controlling future infectious disease incursions.