Visual short-term memory is an important ability of primates and is thought to be stored in area TE. We previously reported that the initial transient responses of neurons in area TE represented information about a global category of faces, e.g., monkey faces vs. human faces vs. simple shapes, and the latter part of the responses represented information about fine categories, e.g., facial expression. The neuronal mechanisms of hierarchical categorization in area TE remain unknown. For this study, we constructed a combined model that consisted of a deep neural network (DNN) and a recurrent neural network and investigated whether this model can replicate the time course of hierarchical categorization. The visual images were stored in the recurrent connections of the model. When the visual images with noise were input to the model, the model outputted the time course of the hierarchical categorization. This result indicates that recurrent connections in the model are important not only for visual short-term memory but for hierarchical categorization, suggesting that recurrent connections in area TE are important for hierarchical categorization.
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http://dx.doi.org/10.3389/fnsys.2022.805990 | DOI Listing |
Aims: Whether prior treatment with angiotensin-converting enzyme inhibitors (ACEi) or angiotensin receptor blockers (ARBs) modifies efficacy and safety of sacubitril/valsartan (Sac/Val) in patients with heart failure (HF) and ejection fraction (EF) >40% is unclear, thus Sac/Val according to ACEi/ARB status at baseline was assessed.
Methods And Results: This was a pre-specified analysis of Prospective comparison of ARNI with ARB Given following stabiLization In DEcompensated HFpEF (PARAGLIDE-HF), a double-blind, randomized controlled trial of Sac/Val versus valsartan, categorizing patients according to baseline ACEi/ARB status. The primary endpoint was time-averaged proportional change in N-terminal pro-B-type natriuretic peptide (NT-proBNP) from baseline through weeks 4 and 8.
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January 2025
Department of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, Japan.
Purpose: Fuchs endothelial corneal dystrophy (FECD) displays a higher incidence in females than in males, yet the underlying mechanism remains unclear. This study aimed to elucidate sex-dependent differential gene expressions in corneal endothelial cells (CECs) from healthy non-FECD individuals and from patients with FECD.
Methods: RNA-Seq data from CECs of non-FECD subjects (3 males, 4 females) and FECD subjects (5 males, 5 females) were analyzed to identify differentially expressed genes (DEGs) between the sexes.
Nucleic Acids Res
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Université de Strasbourg, Architecture et Réactivité de l'ARN, Institut de Biologie Moléculaire et Cellulaire du CNRS, 2 Allée Konrad Roentgen, 67084 Strasbourg, France.
The importance of Mg2+ ions for RNA structure and function cannot be overstated. Several attempts were made to establish a comprehensive Mg2+ binding site classification. However, such descriptions were hampered by poorly modelled ion binding sites as observed in a recent cryo-EM 1.
View Article and Find Full Text PDFJ Chromatogr A
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Eli Lilly and Company, Indianapolis, IN 46285, USA.
Protein A (ProA) affinity chromatography plays an essential role in purifying monoclonal antibodies (mAbs) and their analogues by reducing impurities like residual host cell proteins (HCPs), residual DNA, process additives, and potential viral contaminants. Decades of mAb process development and commercialization efforts have built extensive prior knowledge in the Protein A process. The prior knowledge facilities streamlined process development and minimized the need for extensive process characterization studies to inform manufacturing control strategies.
View Article and Find Full Text PDFBiomed Eng Lett
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Electronics and Communication Engineering, IFET College of Engineering, Villupuram, Tamilnadu India.
Unlabelled: Breast cancer (BC) remains a significant global health issue, necessitating innovative methodologies to improve early detection and diagnosis. Despite the existence of intelligent deep learning models, their efficacy is often limited due to the oversight of small-sized masses, leading to false positive and false negative outcomes. This research introduces a novel segmentation-guided classification model developed to increase BC detection accuracy.
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