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  • An end-to-end mass spectrometry data classification model with a unified architecture

    An end-to-end mass spectrometry data classification model with a unified architecture

    Datasets with batch effects

    To validate the classification performance of the model for data with batch effects, we chose the Myocardial Infarction (MI) and Coronary Heart Disease (CHD) datasets. Matrix-assisted laser desorption/ionization mass…

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  • Intelligent deep learning model for targeted cancer drug delivery

    Intelligent deep learning model for targeted cancer drug delivery

    System model descriptions

    In the present work, the IoBNT model described in21 is modified and further developed, as illustrated in Fig. 1. The scenario involves a TDDS where the drug DOX is administered to specific cells in the body. The…

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  • Stepwise strategy for generating human trophoblast stem-like cells from embryonic stem cells reveals specific role of TFAP2C in acquiring self-renewability

    Stepwise strategy for generating human trophoblast stem-like cells from embryonic stem cells reveals specific role of TFAP2C in acquiring self-renewability

    ESC culture

    All experiments using the human ESC lines were performed following the human ESC guidelines of the Japanese government. Human ESC lines used in this study, KhES-1 and KthES-13, were established from donated human embryos by researchers…

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  • Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization

    Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization

    Feature extraction using denseNet-41

    DenseNet-41 is a powerful feature extractor that excels in histopathological image analysis by leveraging dense connections. Unlike architectures such as ResNet, DenseNet-41 ensures efficient feature reuse,…

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  • A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning

    A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning

    Testing and analysis of few-shot fault diagnosis models under cold-start conditions

    Following the experimental protocol, the target-domain test data are partitioned into four subsets: Single-condition TS1 (800 r/min, 30 samples per fault class,…

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  • Clinical characteristics and treatment preferences of obstructive sleep apnea

    Clinical characteristics and treatment preferences of obstructive sleep apnea

    The study included 377 patients, comprising 64.2% males and 35.8% females with a similar mean age (Table 1). According to World Health Organization (WHO) criteria for the Asian population, BMI values were categorized as follows: normal (< 23…

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  • Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system

    Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system

    The IFS, Sugeno–Weber operational laws, and AHP create an extensive system for improving MCDM capabilities. The IFS and Sugeno–Weber operations enable better management of uncertainty and preference aggregation, yet they present challenges…

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  • Author Correction: Transcriptomic profiling of individual bacteria by MATQ-seq

    Author Correction: Transcriptomic profiling of individual bacteria by MATQ-seq

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