Diatrypaceae is a diverse family with a worldwide distribution, occurring on a wide range of hosts in terrestrial and marine environments, some of which are important plant pathogens. During a survey of ascomycete diversity in Guizhou Province, China, three new taxa within are proposed based on morphological comparisons and phylogenetic analyses of combined ITS and sequences data. The newly proposed species are , and . In addition, was recorded for the first time from China, with an updated description. Detailed morphological descriptions, illustrations, comparative analyses, and a tabular comparison of the new species with related and similar taxa are provided.
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http://dx.doi.org/10.3897/mycokeys.114.145312 | DOI Listing |
Int J Biol Macromol
March 2025
School of Pharmacy, North Sichuan Medical College, Nanchong, Sichuan 637000, PR China; Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, PR China. Electronic address:
Prunella vulgaris L., a globally recognized medicinal and edible plant, has been extensively used in China for over 2000 years, possessing the efficacy of clearing liver-fire, brightening the eyes, dispersing the knot, and reducing swelling. Phytochemical studies have shown that Prunella vulgaris contains various biologically active compounds, including flavonoids, triterpenes, polysaccharides, and phenolic acids.
View Article and Find Full Text PDFInt J Med Inform
March 2025
Research Center of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin 130117, China. Electronic address:
Background: Machine learning (ML) models have been constructed to predict the risk of in-hospital mortality in patients with myocardial infarction (MI). Due to diverse ML models and modeling variables, along with the significant imbalance in data, the predictive accuracy of these models remains controversial.
Objective: This study aimed to review the accuracy of ML in predicting in-hospital mortality risk in MI patients and to provide evidence-based advices for the development or updating of clinical tools.
Neural Netw
March 2025
School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, China; College of Artificial Intelligence Technology, Changchun Institute of Technology, Changchun, China. Electronic address:
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limited computational resources of devices, non-IID data distribution, and dynamic network topology. Existing approaches often rely on centralized coordination and stable network conditions, which may not be feasible in practice. To address these issues, we propose an adaptive distributed multi-task learning framework called ADAMT for efficient image recognition in resource-constrained mobile ad hoc networks.
View Article and Find Full Text PDFMed Image Anal
March 2025
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region of China; Department of Data and Systems Engineering, The University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address:
Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple clients to train a model collaboratively without privacy leakage. However, current studies have shown that data heterogeneity incurs local learning bias in classifiers and feature extractors of client models during local training, leading to the performance degradation of a federation system. To address these issues, we propose a novel framework called Federated Bias eliMinating (FedBM) to get rid of local learning bias in heterogeneous federated learning (FL), which mainly consists of two modules, i.
View Article and Find Full Text PDFACS Appl Mater Interfaces
March 2025
Nanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.
Artificial synapses, basic units of neuromorphic hardware, have been studied to emulate synaptic dynamics, which are beneficial for realizing high-quality neural networks. Currently, two-dimensional (2D) material heterojunction structures are widely used in the study of artificial synapses; however, their dynamic weight-updating characteristics are restricted owing to their high nonlinearity and low symmetricity. In this study, we treated h-BN with oxygen plasma to form a charge-trapping layer (CTL), and we prepared 2D ReS/CTL/h-BN heterojunction synapses.
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