This paper proposes the EDNJIC-KELM technique. The technique aims to construct an effective system for diagnosing neonatal jaundice using advanced methods. The EDNJIC-KELM approach consists of image pre-processing, ViT-based feature extraction,…
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The importance of funding and investment to strengthen data science in Africa
Data science (DS) plays a transformative role in advancing scientific discovery and informing policy by enabling the systematic analysis of large and complex data sets. In the health sector, it supports the development of predictive models,…
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scGPT: end-to-end protocol for fine-tuned retinal cell type annotation
Cui, H. et al. scGPT: toward building a foundation model for single-cell multi-omics using generative AI. Nat. Methods 21, 1470–1480 (2024).
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Theodoris, C. V. et al….
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Research on multi-branch residual connection spectrum image classification based on attention mechanism
In this section, we first introduce Power private data set and the noise reduction preprocessing method for gantry carbon brush voiceprint data through wavelet packet decomposition, and then introduce our two-branch Efficient Global Attention…
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Predicting the interfacial tension of CO2 and NaCl aqueous solution with machine learning
Dataset
In machine learning, the quality and quantity of the dataset are important factors in terms of model development and performance. An experimental dataset consisting of 1254 data points of IFT for a CO2 fluid-NaCl aqueous solution over a…
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New benzimidazole-triazole glycoconjugates as anti-cancer agents and EGFR inhibitors
Chemistry
All apparatuses data used to elucidate the chemical structure of new compounds is attached in the supplementary file, The azido sugars were prepared as earlier reported57,58. Representative NMR charts are attached in the Supplementary…
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MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection
In this section, we first describe the overall pipeline of our network. Then, we will explain the two key components: AMSM and FSB. In our design, the FSB module is embedded in AMSM and cannot operate independently. Thus, we assess its…
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Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties
Razavi, E., Khoshsima, A. & Shahriari, R. Phase behavior modeling of mixtures containing N-, S-, and O-heterocyclic compounds using PC-SAFT equation of state. Ind. Eng. Chem. Res. 58, 11038–11059. https://doi.org/10.1021/acs.iecr.9b01429…
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Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images
The PoinUNet method employs a deep learning architecture integrating convolutional and Poincaré layers of 3D UNet for the automated segmentation of LA and the surrounding epicardial fat. This segmentation is accomplished by utilizing four input…
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Correction: Integrating rare genetic variants into DPYD pharmacogenetic testing may help preventing fluoropyrimidine-induced toxicity
Correction: Integrating rare genetic variants into DPYD pharmacogenetic testing may help preventing fluoropyrimidine-induced toxicity
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