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Background: As a genus within the Clavicipitaceae, Metarhizium exhibits rich morphological and ecological diversity, with a wide distribution and a variety of hosts. Currently, sixty-eight species of Metarhizium have been described. New information: A new species of Metarhizium, M. puerense (Hong Yu bis), was described in Pu'er City, Yunnan Province, south-western China. Based on morphological characteristics and multilocus phylogenetic analyses, Metarhizium puerense was confirmed to be phylogenetically related to M. album, but was clearly separated and formed a distinct branch. In contrast, the host of Metarhizium album was plants and leafhoppers and that lepidopteran larvae were the host of M. puerense. The diagnostic features of M. puerense were solitary to multiple stromata and smooth-walled, cylindrical with rounded apices conidia. [ABSTRACT FROM AUTHOR]

AbstractThis study delves into the realm of traditional Korean fashion/textile practice, known as traditional nubi and Tongyeong nubi (t/T nubi), and re-engineers it from a contemporary fashion perspective within the framework of cultural sustainability. Drawing upon the systemic design approach, the project employed specific activities to trace, decode, and reconfigure t/T nubi following the phases of exploration, reframing, creation, and catalyzation, aiming for innovative design in the contemporary fashion space. The paper emphasizes a holistic and iterative process, based on learning the practice of t/T nubi from artisans, understanding and recontextualizing the future envisaged for t/T nubi, and delivering creative outcomes. Utilizing the interpretative model of cultural sustainability through craft, the study also analyzed the outcomes, identifying impacts such as rethinking craft culture, decoding craft roots, and influencing craft culture. Striking a balance between safeguarding the practice and fostering creativity was challenging; however, the approach serves as a valuable reference for designers and/or artisans of traditional craft practice, bridging their knowledge and design thinking process with the enduring sustainability of this heritage craft. It also demonstrates the potential for designers to leverage traditional craft practices to drive innovation in design, production, and business. [ABSTRACT FROM AUTHOR]

Selaginella tamariscina is a perennial plant that is used for diverse diseases. This study investigated whether Selaginella tamariscina has an antiviral effect against influenza A virus (IAV) infection. We used green fluorescent protein (GFP)-tagged influenza A virus (IAV) to examine the effect of Selaginella tamariscina ethanol extract (STE) on influenza viral infection. Fluorescence microscopy and flow cytometry showed that STE potently represses GFP expression by the virus, dose-dependently. STE significantly inhibited the expression of the IAV M2, NP, HA, NA, NS1, and PB2 proteins. Time-of-addition and hemagglutination inhibition assays showed that STE has an inhibitory effect on hemagglutinin and viral binding on the cells at an early infection time. In addition, STE exerted a suppressive effect on the neuraminidase activity of the H1N1 and H3N2 IAVs. Furthermore, dose-dependently, STE inhibited the cytopathic effect induced by H3N2, as well as by H1N1 IAV. Especially in the presence of 200 µg/mL STE, the cytopathic effect was completely blocked. Our findings suggest that STE has antiviral efficacy against IAV infection; thus, it could be developed as a natural IAV inhibitor. [ABSTRACT FROM AUTHOR]

This study aimed to develop a multi-objective distant-water fisheries survey scheme that balances survey cost and effectiveness. Based on the survey data from 2021 to 2023 in Northwest Pacific Ocean, the relative abundance distribution of Scomber australasicus, Scomber japonicus, Sardinops melanostictus was simulated using Kriging interpolation, and assume relative resource as their 'true' values. The effectiveness of the Simple random sampling (Design 1), Systematic sampling (Design 2), Stratified random sampling based on stratum area size allocation method (Design 3), and Stratified random sampling based on fishery resource biomass allocation method (Design 4) was assessed through computer simulation. Two indicators, Relative estimation error (REE) and Relative bias (RB) were used to evaluate the accuracy of the assessment effects, and the number of sampling stations was selected using the Accuracy change rate (ACR). The results showed that the estimation accuracy of the four sampling designs were different. In general, Design 4 had the highest accuracy, followed by Design 3, Design 2 and Design 1. The REE values of target species abundance index estimation of Design2 fluctuated with the increasing number of sampling stations. Design 4 exhibited higher accuracy in estimating the abundance index of S. japonicus, S. melanostictus and the total fishery resources. However, Design 4 demonstrated an overestimation in estimating the abundance index of Chub mackerel. Using Design 4 for simulated sampling, and considering all objectives, the optimal number of sampling stations could be set at 28. In conclusion, the Stratified sampling method (Design 4) can be prioritized as the survey station design approach for the Northwest Pacific Ocean fishery resource survey. [ABSTRACT FROM AUTHOR]

In times of prolonged economic doldrums across the globe, multinational firms (MNFs) offshoring blunders can undermine their competitiveness in the marketplace. To help the MNF formulate a more resilient offshoring strategy and identify the most desirable offshoring destination, this article aims to identify dynamic risk factors that significantly hinder the efficiency of offshoring and then measure specific offshoring risks over time using two different versions of data envelopment analysis (DEA) models and Malmquist productivity index (MPI). After assessing the degree of risk resiliency of the offshoring host countries over extended periods and then conducting Tobit regression analysis to identify key factors that significantly influence offshoring risks, we found that the host country's logistics efficiency (i.e., logistics performance index [LPI]) and domestic market size were critical indicators of offshoring success in that country. Since low‐cost sourcing countries (LCCs) tend to have relatively low LPIs and smaller domestic market sizes, they are not attractive offshoring destinations. This finding defies conventional wisdom. This article is one of the first longitudinal studies to assess the comprehensive risk resilience of 87 different offshoring destinations (countries) during multiple periods (6‐year span). [ABSTRACT FROM AUTHOR]

Background Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring. Materials and Methods In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making . Results The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze. Conclusion The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.