Semyung University

Psoriasis is a refractory autoimmune skin disease characterized by epidermal proliferation and excessive inflammatory responses.Approximately 10 medicinal plants used to treat skin diseases were selected from the resource database of the Korea Research Institute of Bioscience and Biotechnology (KRIBB) International Biomaterials Research Center.Pegia sarmentosa is known for its antipyretic, analgesic, and blood circulation-enhancing effects.In this study, we examined the anti-inflammatory effects of Pegia sarmentosa extract (PSE) using a human keratinocytebased psoriasis cell model.The total polyphenol content of PSE was analyzed to be approximately 224.223.45mg GAE/g, and its free radical scavenging activity was confirmed using the DPPH/ ABTS assay.Furthermore, in a CCK-8 assay using HaCaT cells, no cytotoxicity was observed up to 10 g/mL, approximately 92% was observed at 30 g/mL, and approximately 50% was observed at 50 g/mL.Therefore, to exclude the possibility of transcriptional inhibition due to cytotoxicity, the maximum concentration was set at 10 g/mL and applied to all cell experiments.In HaCaT cells stimulated with TNF-/IL-17A/IFN- (20 ng/mL), PSE dose-dependently downregulated the mRNA expression of major inflammatory markers, including IL-1, IL-1, IL-36, and MIR146A.In addition, PSE significantly suppressed the expression of antimicrobial peptides (LL-37, -defensin 2, S100A7/A8) and major psoriasis-related chemokines (CXCL8, CCL20).Furthermore, Western blot analysis showed that PSE significantly inhibited the phosphorylation of NF-kB/AKT proteins.This suggests that PSE may help alleviate excessive inflammation, a hallmark of psoriasis, by suppressing psoriatic inflammatory signaling through inhibition of the NF-kB and AKT pathways in TNF-/IL-17A/IFN-stimulated HaCaT cells.

Este artigo busca identificar e discorrer sobre elementos que permitem apontar A Educação Estética do Homem, de Friedrich Schiller, para além de somente um ensaio sobre a Estética, mas também um manifesto político. Para esse objetivo, recorreu-se à revisão bibliográfica da própria obra citada acima: Schiller (2002), e outras como Barbosa (2004); Gadamer (1997); Gadamer (2002), bem como, a alguns artigos que tratam do tema em questão. À guisa de conclusão, a partir do pressuposto de que há a necessidade da contextualização histórica para a compreensão e interpretação de um texto, e do conceito de Fusão de Horizontes, de Gadamer, percebe-se que a obra enseja dar algumas respostas no sentido de resolver teoricamente os problemas políticos e sociais resultantes dos ideais iluministas e, por conseguinte, da Revolução Francesa. Desse modo, configurando-se, também, como um manifesto político do autor como resposta às suas insatisfações frente aos acontecimentos político-sociais do seu tempo.

This study proposes a modified and adaptive Balanced Scorecard (BSC) framework tailored to the strategic context of art museums as its primary contribution. The adapted BSC categorizes museum strategies into four dimensions—Social Values and Cultural Impact (SVCI), Visitor Experience and Tourism Development (VED), Exhibition and Operational Efficiency (EOE), and Art/Cultural Education and Sustainable Growth (ACES)—providing a systematic lens for interpreting and quantifying qualitative managerial priorities. These strategic perspectives were extracted from unstructured textual data sourced from museum websites and visitor-generated online content through natural language processing and text mining techniques. Building on this strategic classification, the study develops deep learning–based predictive models that integrate both structured numerical data and text-derived qualitative variables to estimate visitor numbers. Eight deep learning architectures, including Transformer, Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Generative Adversarial Network (GAN), were evaluated. The results indicate that VED exerts the most substantial influence on visitor attendance, particularly through interactive exhibitions, personalized experiences, and tourism collaborations, while other strategic dimensions provide marginal improvements in predictive accuracy. The Transformer model achieved the best predictive performance, reflecting its superior ability to capture complex relationships between structured and unstructured data. By combining an adapted BSC framework with advanced predictive modeling, this study offers both a novel theoretical approach for categorizing museum strategies and a practical tool for enhancing decision-making in visitor engagement, exhibition planning, and resource allocation.

ImportanceGentamicin is an aminoglycoside antibiotic used to treat infections in dairy cows. Because of its potential toxicity and milk residue risk, an evidence-based withdrawal period is essential to ensure consumer safety.ObjectiveThis study aimed to develop and validate a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify gentamicin residues in milk and to establish a withdrawal period for an intramuscular gentamicin product in dairy cows.MethodsNine Holstein cows received a gentamicin product (50 mg gentamicin sulfate/mL) at 0.1 mL/kg twice daily at 12 h intervals via intramuscular injection. Milk samples were collected before dosing and at 12 h intervals up to 168 h after the final administration and analysed with a validated LC-MS/MS method using heptafluorobutyric acid as an ion-pairing reagent.ResultsThe method showed recovery rates of 86%–104%, coefficients of variation of 3%–11%, and limits of detection and quantitation of 23 and 70 ng/mL, respectively. Mean gentamicin concentrations exceeded the maximum residue limit (MRL; 0.2 mg/kg) at 12 h during treatment and 12 h after the final administration, and were < MRL in all cows from 36 h after the last dose. Based on residue depletion data and a national non-statistical guideline, a withdrawal period of 40–48 h was derived, and the regulatory withdrawal period for this product was established as 3 days.Conclusions and RelevanceThe validated LC-MS/MS method enables rapid quantitation of gentamicin residues in bovine milk. A 3-day regulatory withdrawal period for this product supports milk safety, regulatory compliance, and practical use in dairy herds.

This study aims to develop a forecasting model that predicts the annual number of museum visitors by integrating structured museum-related data and unstructured sentiment data. While prior research has often relied on a single data type or traditional regression techniques, this study incorporates sentiment scores extracted from museum-related news articles and user comments to empirically assess the influence of external public opinion. Seven predictive algorithms including traditional models (Linear Regression and Random Forest Regressor) and deep learning models (RNN, GAN, CNN, LSTM, and Transformer) were evaluated for performance. Among these, the Transformer model demonstrated the highest predictive accuracy across all evaluation metrics (RMSE, MSLE, and MAPE) and was adopted as the final forecasting model. The results show that incorporating sentiment data significantly enhances forecasting precision, highlighting the substantial impact of media narratives and public sentiment on visitor behavior. This study offers a robust forecasting framework that integrates both structured and unstructured data, providing practical implications for sustainable museum planning and strategic decision-making.

Objectives This study aimed to compare the effectiveness and safety of acupotomy with or without pharmacopuncture combined with epidural steroid injection for patients with cervical radiculopathy in a pragmatic clinical setting.Methods This three-arm, evaluator-blinded, randomized pilot trial will enroll 39 patients with cervical radiculopathy, allocating them in a 1:1:1 ratio.All participants will receive epidural steroid injections.Experimental group A will additionally receive acupotomy and pharmacopuncture, while experimental group B will receive only acupotomy.The primary outcome is the change in the Neck Disability Index (NDI) at week 4. Secondary outcomes include NDI changes at weeks 2 and 8, the Numeral Rating Scale (NRS) for cervical and upper extremity pain, the Northwick Park Neck Pain Questionnaire (NPQ), the European Quality of Life 5 Dimension (EQ-5D), and the incidence of adverse events.Results The mean changes in the primary and secondary outcomes will be calculated and compared among the three treatment groups.Safety outcomes, including the incidence of adverse events, will also be analyzed.Conclusions This pragmatic pilot randomized controlled trial will provide preliminary results on the comparative effectiveness and safety of adding acupotomy, with or without pharmacopuncture, to epidural steroid injections.The findings are expected to inform treatment selection and guide the design of a larger, multi-center, full-scale study..