TOLL-LIKE RECEPTORS OF DEUTEROSTOME INVERTEBRATES

Toll-like receptors of deuterostome invertebrates

Defensive systems against pathogens are responsible not only for survival or lifetime of an individual but also for the evolution of a species.Innate immunity is expected to be more important for invertebrates than mammals, given Silicone that adaptive immunity has not been acquired in the former.Toll-like receptors (TLRs) have been shown to play a

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Prediction of Tensile Strain Capacity for X52 Steel Pipeline Materials Using the Extended Finite Element Method

Strain-based design (SBD) plays an important role in pipeline design and assessment of pipelines subjected to geo-hazards.Under such hazards, a pipe can be subjected to substantial plastic strains, leading to tensile failure at locations of girth weld flaws.For SBD, the finite element method (FEM) can be a reliable tool to calculate the tensile str

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Analysis of the Symbolic Role of the Lime Stuccowork Arrays of Private Bathhouses in Sanandaj City During the Qajar Period.

To convey the content of Lime stuccowork carvings, artists have used encryption and symbolism and designed the carvings in a symbolic and stylized way, transmitting their message to the audience with the simplest design.The research method is descriptive, historical-comparative, which has been done through field investigation and library studies.Re

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Dynamic monitoring of viral gene expression reveals rapid antiviral effects of CD8 T cells recognizing the HCMV-pp65 antigen

IntroductionHuman Cytomegalovirus (HCMV) is a betaherpesvirus that causes severe disease in immunocompromised transplant recipients.Immunotherapy with CD8 T cells specific for HCMV antigens presented on HLA class-I molecules is explored as strategy for long-term relief to such patients, but the antiviral effectiveness of T cell preparations cannot

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Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios

The adversarial training technique has been shown to improve the robustness of Machine Learning and Deep Learning models to adversarial attacks in the Computer Vision field.However, the effectiveness of this approach needs to be proven in the field of Anomaly Detection on industrial environments, where adversarial training has critical limitations.

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