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  1. 58821
    “…In this paper, we use this network to construct a spiking associative memory that uses fewer spikes compared to conventional architectures, while maintaining high recall accuracy at high memory loads.…”
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    A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System
  2. 58822
    “…Using the deep learning and machine learning algorithms and libraries, we modified and successfully implemented four region-based convolutional neural network (R-CNN) architectures (models for image classification): Inception V2, ResNet, MobileNet, and VGG16. …”
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    Revealing the Unknown: Real-Time Recognition of Galápagos Snake Species Using Deep Learning
  3. 58823
    “…Photocatalytic materials and semiconductors of appropriate structural and morphological architectures as well as energy band gaps are materials needed for mitigating current environmental problems, as these materials have the ability to exploit the full spectrum of solar light in several applications. …”
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    Bi(2)WO(6)/C-Dots/TiO(2): A Novel Z-Scheme Photocatalyst for the Degradation of Fluoroquinolone Levofloxacin from Aqueous Medium
  4. 58824
    “…[Image: see text] The construction of sophisticated molecular architectures from chemical subunits requires careful selection of the spacers, precise synthetic strategies, and substantial efforts. …”
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    Catalytic Conversion of Carbon Dioxide Using Binuclear Double-Stranded Helicates: Cyclic Carbonate from Epoxides and Diol
  5. 58825
    “…In recent studies, Convolutional Neural Network (CNN) architectures were shown to outperform other existing models in predicting the splice sites. …”
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    Predicting the effect of variants on splicing using Convolutional Neural Networks
  6. 58826
    “…We compare three alternatives for training the SR model: (i) training with non‐plant‐root images, (ii) training with plant‐root images, and (iii) pretraining the model with non‐plant‐root images and fine‐tuning with plant‐root images. The architectures of the SR models were based on two state‐of‐the‐art deep learning approaches: a fast SR convolutional neural network and an SR generative adversarial network. …”
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    Super resolution for root imaging
  7. 58827
    “…Overlying retinal pigment epithelium (RPE) disease was observed on FAF, although this finding was not universally observed, suggesting that RPE disease may occur as a sequelae to unchecked choroidal inflammation. SD-OCT architectural changes confirmed outer retina and ellipsoid zone disruption. …”
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    Long-term multimodal imaging in acute posterior multifocal placoid pigment epitheliopathy and association with coxsackievirus exposure
  8. 58828
    por Lottes, Erin N., Cox, Daniel N.
    Publicado 2020
    “…Distinct from other cell types, neurons are long-lived, exhibiting architecturally complex and diverse multipolar projection morphologies that can span great distances. …”
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    Homeostatic Roles of the Proteostasis Network in Dendrites
  9. 58829
    “…METHODS: Rose plants were grown with four upright flower shoots and with no, one or three bent shoots per plant. Plant architectural traits, leaf photosynthetic parameters and organ dry weight were measured. …”
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    Quantifying the contribution of bent shoots to plant photosynthesis and biomass production of flower shoots in rose (Rosa hybrida) using a functional–structural plant model
  10. 58830
    por Logan, Michael L., Cox, Christian L.
    Publicado 2020
    “…We review the literature for evidence that thermal performance traits in ectotherms are heritable and have genetic architectures that permit their unconstrained evolution. …”
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    Genetic Constraints, Transcriptome Plasticity, and the Evolutionary Response to Climate Change
  11. 58831
    “…In this regard, and besides architectural proteins, transcription factors are shown to be highly informative. …”
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    A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions
  12. 58832
    “…In this study, we present a comprehensive performance evaluation of recent deep learning architectures for brain extraction, training models on mpMRI scans of pathologically-affected brains, with a particular focus on seeking a practically-applicable, low computational footprint approach, generalizable across multiple institutions, further facilitating collaborations. …”
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    Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training()
  13. 58833
    “…Tree shrews developed bleomycin-induced pulmonary fibrosis with architectural distortion in parenchyma and widespread collagen deposition. …”
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    Technical advance: The use of tree shrews as a model of pulmonary fibrosis
  14. 58834
    “…We expect that the proposed method provides a new insight into network biology and it will be a useful tool to integrative gene network analysis related complex architectures of diseases.…”
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    Global gene network exploration based on explainable artificial intelligence approach
  15. 58835
    por Chen, Ling, Capra, John A.
    Publicado 2020
    “…However, there is limited knowledge of the prevalence of these (or other) sequence architectures across enhancers. Here we perform several hypothesis-driven analyses to explore the ability of DNNs to learn the regulatory grammar of enhancers. …”
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    Learning and interpreting the gene regulatory grammar in a deep learning framework
  16. 58836
    “…Low codon usage bias in EBOV indicates a flexibility of the viruses in adapting to diverse range of hosts with different codon usage architectures. EBOV adaptation in potential hosts, as estimated by codon adaptation index (CAI) and relative codon deoptimization index (RCDI), revealed that the viruses were relatively better adapted to African primates than other mammals examined, which might account for the high fatality rate of primates owing to EBOV infection. …”
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    Host Adaptation and Evolutionary Analysis of Zaire ebolavirus: Insights From Codon Usage Based Investigations
  17. 58837
    “…We will refine this analysis in a multi-institutional study of >100 patient gene expression profiles to define MR signatures driving known biological/molecular disease subtypes, use DIPG cell lines recapitulating common MR architectures to optimize therapy prioritization, and validate our findings in vivo.…”
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    DIPG-40. TARGETING MASTER REGULATOR DEPENDENCIES IN DIFFUSE INTRINSIC PONTINE GLIOMA (DIPG)
  18. 58838
    “…False-negative outcomes were more frequent in asymptomatic patients (P<0.001) and were associated with the following US findings: smaller size (P=0.001), depth in the posterior third (P=0.002), angular or indistinct margin (P<0.001), and absence of architectural distortion (P<0.001). CONCLUSION: The CAD software showed a promising detection rate of breast cancer. …”
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    False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients
  19. 58839
    “…Those models are selected as they have a small number of layers on their architectures. To test the performance of the conversion to the neutrosophic domain, more than 36 trials have been conducted and recorded. …”
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    A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset
  20. 58840
    “…RESULTS: Results showed that PGLE whether alone or combined with metronidazole has induced significant trophozoite count reduction and major architectural changes. Duodenal histological improvement, and local protective anti-inflammatory effect were confirmed. …”
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    Psidium guajava Linn leaf ethanolic extract: In vivo giardicidal potential with ultrastructural damage, anti-inflammatory and antioxidant effects
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