IgE specific for inhaled allergens mediates airway hypersensitivity in asthma, a chronic condition with intermittent symptoms driven by allergen re-exposure. However, IgE-expressing B cells fail to form memory B cells (MBCs) and long-lived IgE+…
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Advancing plant leaf disease detection integrating machine learning and deep learning
Figure 2 presents the detailed work of the proposed approach.
Fig.2 Fusion of DL and ML for Plant Leaf Disease Detection.
Dataset
In the present work, we have used 4 datasets23,24,25,26. Ref23 includes 408 original banana images from real fields of…
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‘Complement-ing’ tissue inflammation via granzyme K?
‘Complement-ing’ tissue inflammation via granzyme K?
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Reversible data hiding and authentication scheme for encrypted image based on prediction error compression
In this section, we introduce the existing VRAE methods and RRBE methods.
VRAE
In the VRAE scheme, the image needs to be encrypted first and then the data is embedded. Puech et al. (2008)9 proposed one of the initial VRAE schemes, their method…
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Correction: Hypoxia-triggered ERRα acetylation enhanced its oncogenic role and promoted progression of renal cell carcinoma by coordinating autophagosome-lysosome fusion
Correction: Hypoxia-triggered ERRα acetylation enhanced its oncogenic role and promoted progression of renal cell carcinoma by coordinating autophagosome-lysosome fusion
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Fractional-order computational modeling of pediculosis disease dynamics with predictor–corrector approach
It is well known that using numerical methods to solve ordinary differential equations is not suitable for solving differential equations of any order. We now discuss the PC approach, which is a generalization of the classical trapezoidal rule….
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Blocking cholesterol biosynthesis to clean out cancer
The opioid analgesic JTC801 can induce pH-dependent cell death, referred to as alkaliptosis, in pancreatic ductal adenocarcinoma (PDAC) cells independent of opioid receptors. This mode of death relies on intracellular alkalinization, with…
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A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification
For classification purposes, we divided the images into four classes according to the CDR scores: CDR-0 (Non-Demented), CDR-0.5 (Very Mild-Demented), CDR-1 (Mild-Demented), and CDR-2 (Moderate-Demented). We implemented three distinct CNN models…
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A high-throughput, fully automated competition assay to evaluate SARS-CoV-2 neutralizing responses and epitope specificity in clinical samples
We developed a fully automated HISCL system for high-throughput detection of binding site–specific antibodies in patient specimens. By measuring region-specific antibody titers, this system enables detailed analysis of how individual epitopes…
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A multi-modal transformer for predicting global minimum adsorption energy
GMAE benchmark datasets
Three GMAE datasets, named Alloy-GMAE, FG-GMAE and OCD-GMAE, were filtered from Catalysis Hub7, ‘functional groups’ (FG)-dataset25, and OC20-Dense9 datasets, respectively. Each of the source datasets enumerated all…
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