Five new polyketides were isolated from the rare filamentous fungus IBT 16748 including calidiol A (); three phthalide derivatives califuranones A, A, and B (-); and a pair of enantiomers (-)-calitetralintriol A (-) and (+)-calitetralintriol A (+) together with four known metabolites (-). The structures of the new products were established by extensive spectroscopic analyses including HRMS and 1D and 2D NMR. The absolute configurations of two diastereomers and and the enantiomers (-) and (+) were assigned by comparing their experimental and calculated ECD data, whereas the absolute configuration of was proposed by analogy. Compound showed moderate activity against methicillin-resistant .
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http://dx.doi.org/10.1021/acs.jnatprod.0c00866 | DOI Listing |
Sensors (Basel)
December 2024
Department of Automation and Industrial Informatics, Faculty of Automatic Control and Computer Sciences, National University of Science and Technology Polithenica Bucharest, 313 Spl. Independenței, RO060042 Bucharest, Romania.
Every day, a considerable number of new cybersecurity attacks are reported, and the traditional methods of defense struggle to keep up with them. In the current context of the digital era, where industrial environments handle large data volumes, new cybersecurity solutions are required, and intrusion detection systems (IDSs) based on artificial intelligence (AI) algorithms are coming up with an answer to this critical issue. This paper presents an approach for implementing a generic model of a network-based intrusion detection system for Industry 4.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
The fuel system serves as the core component of marine diesel engines, and timely and effective fault diagnosis is the prerequisite for the safe navigation of ships. To address the challenge of current data-driven fault-diagnosis-based methods, which have difficulty in feature extraction and low accuracy under small samples, this paper proposes a fault diagnosis method based on digital twin (DT), Siamese Vision Transformer (SViT), and K-Nearest Neighbor (KNN). Firstly, a diesel engine DT model is constructed by integrating the mathematical, mechanism, and three-dimensional physical models of the Medium-speed diesel engines of 6L21/31 Marine, completing the mapping from physical entity to virtual entity.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320, Taiwan.
Background: Skin cancer is the most common cancer worldwide, with melanoma being the deadliest type, though it accounts for less than 5% of cases. Traditional skin cancer detection methods are effective but are often costly and time-consuming. Recent advances in artificial intelligence have improved skin cancer diagnosis by helping dermatologists identify suspicious lesions.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.
Background/objectives: Brain tumor classification is a crucial task in medical diagnostics, as early and accurate detection can significantly improve patient outcomes. This study investigates the effectiveness of pre-trained deep learning models in classifying brain MRI images into four categories: Glioma, Meningioma, Pituitary, and No Tumor, aiming to enhance the diagnostic process through automation.
Methods: A publicly available Brain Tumor MRI dataset containing 7023 images was used in this research.
Int J Mol Sci
December 2024
College of Jixian Honors, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China.
Heat stress transcription factors (HSFs) play a critical role in orchestrating cellular responses to elevated temperatures and various stress conditions. While extensively studied in model plants, the gene family in remains unexplored, despite the availability of its sequenced genome. In this study, we employed bioinformatics approaches to identify 21 genes within the genome, revealing their uneven distribution across chromosomes.
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