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The hidden threat: Klebsiella pneumoniae may develop co-resistance to colistin and cefiderocol under pressure of colistin.
Int J Antimicrob Agents
January 2025
Institute of Antibiotics, Huashan Hospital, Fudan University Shanghai, PR China; Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission of the People's Republic of China, Shanghai, PR China. Electronic address:
Objectives: Carbapenem-resistant Klebsiella pneumoniae (CRKP) has become a global concern owing to its difficult treatment. This study aimed to determine the impact of colistin resistance on susceptibility to cefiderocol.
Methods: The colistin-susceptible clinical strain CRKP12-130 (colistin minimum inhibitory concentration [MIC] 0.
Machine learning reveals novel compound for the improved production of chitooligosaccharides in Escherichia coli.
N Biotechnol
January 2025
Center for Synthetic Biology, Department of Biotechnology, University of Ghent, Belgium. Electronic address:
In order to improve predictability of outcome and reduce costly rounds of trial-and-error, machine learning models have been of increasing importance in the field of synthetic biology. Besides applications in predicting genome annotation, process parameters and transcription initiation frequency, such models have also been of help for pathway optimization. The latter is a common strategy in metabolic engineering and improves the production of a desirable compound by optimizing enzyme expression levels of the production pathway.
View Article and Find Full Text PDFMDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting.
Neural Netw
January 2025
School of Software, Shandong University, Jinan 250101, China; Shandong Provincial Laboratory of Future Intelligence and Financial Engineering, Yantai 264005, China. Electronic address:
Long time series forecasting has extensive applications in various fields such as power dispatching, traffic control, and weather forecasting. Recently, models based on the Transformer architecture have dominated the field of time series forecasting. However, these methods lack the ability to handle the correlation of multi-scale information and the interaction of information between variables in model design.
View Article and Find Full Text PDFDKiS: Decay weight invertible image steganography with private key.
Neural Netw
January 2025
College of Science, China Agricultural University, Beijing 100083, China. Electronic address:
Image steganography, defined as the practice of concealing information within another image. In this paper, we propose decay weight invertible image steganography with private key (DKiS). This model introduces two major advancements into current invertible image steganography: (1) Decay Weight Mechanism: For the first time, we introduce a decay weight mechanism to regulate the transfer of non-essential or 'garbage' information from the secret to the host pipeline.
View Article and Find Full Text PDFTranscriptome analysis reveals the different toxic mechanism of three HBCD diastereoisomers to Brachionus plicatilis based on chemical defensome.
J Hazard Mater
January 2025
Department of Marine Ecology, College of Marine Life Sciences, Ocean University of China, No.5 Yushan Road, Qingdao, China; Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, China. Electronic address:
The emerging contaminants hexabromocyclododecanes (HBCDs) are proved to exhibit highly reproductive toxicity to marine rotifer Brachionus plicatilis, but how about the toxic differentiation among three diastereoisomers of HBCD, and what's the possible hidden mechanism? B. plicatilis was exposed to different concentrations of HBCD diastereoisomers, and the results showed that α-, β- and γ-HBCD exhibited various toxicity on it, the adverse effects on individual life history traits included shortened lifespan, shortened body length and reduced offspring number. Population dynamics analysis showed that the maximum population density and time to reach it were also significantly influenced.
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