This study explores the contemporary reinterpretation of traditional suit design through the lens of post-structuralist philosopher Jacques Derrida’s concept of decentralization. The objective is to systematically analyze the diverse expression methods of decentralized suits in contemporary fashion and identify their design characteristics, thus exploring various design possibilities for decentraliz suits. To achieve this, the study examines the deconstructivist fashion collections of notable designers such as Martin Margiela, Rei Kawakubo of Comme des Garçons, Alexander McQueen, and Thom Browne, analyzing 269 decentralized suits from their men’s collections from 2009 to the present. The methods of decentralization are categorized based on the structure (composition), details, and materials of the garments, are classified into deconstruction, discontinuity, and disorder. Specific expression methods include irregular wearing, layering, asymmetry, and distortion for deconstruction; omission, heterogeneous insertion, material transition, and separation for discontinuity; and tearing, graffiti, and unfinished elements for disorder. The identified design characteristics are as follows: gender-neutral and category-free, which dismantles the rigid formality and masculine image of suits to allow flexible and diverse gender expressions; integration of unconventional elements, which combines traditional suit design with non-traditional details like ruffles, strings, unfinished edges, and graffiti to create new designs; and sustainable design, which utilizes the deconstruction and recombination of existing suits to recycle discarded suits, making it suitable for upcycling.

This study analyzes the discourse of Korean internet users regarding patient clothing and identifies the changes to structure and content of clothing resulting from infectious disease outbreaks. The analysis draws on texts from Korean blogs, internet cafes, and news articles from 2011 to 2021 related to patient clothing. Using Ucinet 5 and NodeXL 1.0.1 programs, network density, centrality, and cluster analyses were conducted using the Wakita–Tsurumi algorithm. Additionally, Latent Dirichlet Allocation (LDA) topic modeling was applied using Python 3.7 to further explore thematic patterns within the discourse. Throughout the period of study, it was found that users consistently discussed the specific purpose and functionality of patient clothing. Following the outbreak of COVID-19, the distribution and influence of keywords related to the functional aspects of patient clothing, such as “hygiene and safety,” significantly increased. An increased focus was placed on elements such as functionality, activity, autonomy, hygiene, and safety during the pandemic as public health concerns grew. It can be seen that patients increasingly share their experiences online and hospitalization rates surge during health crises; this study provides valuable insights into how the design of patient clothing can be improved through various informatics techniques. It underscores the evolving perception of patient clothing as essential medical equipment during health emergencies. In addition, it offers practical guidance for enhancing designs that better reflect shifting societal concerns, particularly regarding health, safety, and patient comfort.

River discharge is a crucial indicator of climate change and requires accurate and continuous estimation for effective water resource management and environmental monitoring. This study used satellite gravimetry data to estimate river discharge in major basins with high discharge volumes, specifically the Congo and Orinoco basins. By enhancing the spatial resolution of gravity data through advanced post-processing techniques, including forward modeling and river routing schemes, we effectively detected changes in the water mass stored within river channels. Additionally, signals from surrounding regions were statistically removed using the Empirical Orthogonal Function (EOF) analysis to isolate river-specific discharge signals. These refined signals were then converted into river discharge data through seasonal calibration using the modeled discharge data. Our results demonstrate that this method yields accurate and reliable discharge estimates comparable to in-situ measurements from gauge stations, even without ground-based surveys such as an Acoustic Doppler Current Profiler (ADCP) field campaigns. This research highlights the significant potential of satellite-based gravity data as an alternative to traditional ground surveys, providing practical information on the hydrological status of regions associated with large-scale river systems.

식품 포장 분야에서 바이오센서와 바이오폴리머 기반 나 노복합체, 즉 바이오나노복합체의 통합이 점차 산업 전문 가들에 의해 인식되고 있으며, 이는 식품의 품질과 안전 에 대한 우려가 증가함에 따라 주도되고 있습니다. 식품 포장에 내장된 바이오센서는 포장된 상품의 미생물에 의 한 변질을 지속적으로 모니터링함으로써 식품의 완전성을 유지하는 핵심 요소로 업계를 변화시킬 준비가 되어 있다. 동시에, 탁월한 기계적, 열적, 광학적, 항균적 특성으로 인 해 바이오폴리머 기반 나노복합체의 연구와 적용이 크게 확대되었다. 이러한 특성은 이들을 혁신적인 포장 솔루션 에 적합한 주요 재료로 만든다. 그러나 지능형 식품 포장 시스템 발전에 바이오센서와 바이오나노복합체를 사용하 는 잠재적인 장애물과 전망을 탐구하는 것은 아직 충분하 지 않다. 바이오나노복합체와 바이오센서의 융합을 제안 하는 것은 스마트 포장 산업을 재정의하는 획기적인 단계 로, 이 기술들을 더 깊이 이해하여 지속 가능하고 경제적 으로 실행 가능한 스마트 포장 옵션의 개발을 촉진할 필 요성을 강조한다. 이 리뷰는 바이오센서와 바이오나노복 합체에 대한 기존 연구와 개발 동향을 철저히 검토하고, 가까운 미래에 스마트 식품 포장 산업에서 진전을 이끌어 낼 앞으로의 도전과 기회를 강조하는 데 전념하고 있다.

Hydrogen peroxide (H2O2) is widely used in bleaching treatments in the pulp and paper industry, in wastewater treatment, and as a food additive. However, H2O2 solutions are unstable and decompose slowly when subjected to external factors such as light, high temperatures, or metal compounds. Therefore, a simple and reliable method to measure the concentration of H2O2 is required for its proper use in various applications. We determined the concentration of an H2O2 solution by measurement at a single wavelength (249 nm) without any reagents or complex analytical procedures. In the present work, the measurable concentration of H2O2 was as low as 0.015 wt% (4.41 mM) and as high as 0.300 wt% (88.2 mM), with high linearity (99.99% at 249 nm) between the concentration of H2O2 and the optical density (OD) values. In addition, the method could be used to measure the concentration of H2O2 in a peracetic acid solution without interference from acetic acid and peracetate ion.

Ainsliaea acerifolia leaves are registered with the Ministry of Food and Drug Safety as edible herbal materials in Korea, and research is underway to explore their potential in developing functional foods, cosmetics, and pharmaceuticals. In this study, we developed an analytical method using HPLC-DAD to quantify three key compounds—chlorogenic acid, isochlorogenic acid A, and 1,5-dicaffeoylquinic acid—in A. acerifolia leaves extract. This method has been optimized and validated for specificity, accuracy, precision, limit of quantification (LOQ), and linearity. The correlation coefficients (r²) for the calibration curves exceeded 0.9962. The limits of detection (LOD) and quantification (LOQ) were 0.3012 and 0.9128 μg/mL for chlorogenic acid, 0.1182 and 0.3582 μg/mL for isochlorogenic acid A, and 0.2342 and 0.7098 μg/mL for 1,5-dicaffeoylquinic acid, respectively. The net recovery rates for accuracy testing were 105.13% for chlorogenic acid, 105.37% for isochlorogenic acid A, and 100.37% for 1,5-dicaffeoylquinic acid. All parameters assessed with this newly developed method fell within the acceptable ranges specified by ICH guidelines. These findings demonstrate that the method is robust and reliable for accurately identifying and quantifying chlorogenic acid, isochlorogenic acid A, and 1,5-dicaffeoylquinic acid in both routine analysis and large-scale extraction process of A. acerifolia leaves.

The world is transitioning towards sustainable agriculture, which includes reducing chemical fertilizers and increasing the adoption of eco-friendly materials. Red clay, known for its colloidal properties, adsorption, and ion exchange capabilities, has become eco-friendly due to its non-toxic nature. However, when red clay is applied in its insoluble powdered form, its absorption by plants is limited. Processed red clay (PRC) was developed to overcome these limitations, and microbial formulations containing Lactobacillus fermentum (MFcL) were applied alongside it. Chlorophyll content and fluorescence values decreased over time after cucumber transplantation. However, co-application of PRC and MFcL resulted in higher chlorophyll content than PRC alone, suggesting that this combination could alleviate plant growth reduction caused by stress. Although the total yield of cucumbers was highest in the NF group, yield per plant increased by more than 10% in the PRC treatment compared to NF. Additionally, yield was higher when PRC was applied alongside MFcL than with MFcL alone. While the proportion of marketable fruits decreased over time in the NF treatment, it increased in the PRC treatment. Soil analysis revealed that PRC application increased soil pH by 3% and available silicon content by 7.6% compared to NF, while available phosphate levels decreased by 13%. Analysis of microbial density in the soil showed that bacteria levels significantly increased by 2-fold in PRC+MFcL compared to NF, while actinomycetes decreased by 1.5-fold. In conclusion, PRC treatment positively influenced cucumber growth, and co-application with microbial fertilizers demonstrated a synergistic effect.