470 research outputs found

    Dinner With Melanie

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    ESTIMATION OF THE URBAN HEAT ISLAND IN LOCAL CLIMATE CHANGE AND VULNERABILITY ASSESSMENT FOR AIR QUALITY IN DELHI

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    Delhi experience the effect of high heat compared to the rural surroundings during hot seasons. This phenomenon is known as Urban Heat Island (UHI) which exerts a significant influence on local climate. Urban climate, land cover, land use, vegetation ratio and surface temperature have been cited as the main contributors to the UHI effect. This paper focuses on urban heat islands (UHI) as a specific problem expected to be exacerbated by local climate change. A simple formula has been used to calculate the urban heat island (UHI) from a set of land surface temperature data for observed temperatures by Landsat 7 and 8 and quantifies how this urban heat island effect on local climate change response strategy 2000- 2014. The aim is to identify climate sensitive urban patterns during summer, winter and monsoon months. The study reveals that the intensity of heat island varies from 3 C° to 8 C° and intensity is high during summer season compared to monsoon and winter seasons. In Delhi the formation of heat island is controlled by vegetation density. It has been found that UHI become bigger during cooling at night time. The urban heat island helps to decrease air quality during summer. UHI coupled with high land surface temperature conditions during summer season causes human discomfort and higher death rates in Delhi. These changes reflect sensitivity to variations in regional climate alone, so omit other factors such as changes in land use, emissions, land surface temperature, or synergies on size and shape of heat islands

    Progress toward practical quantum cryptanalysis by variational quantum cloning

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    Cryptanalysis of quantum cryptographic systems generally involves finding optimal adversarial attack strategies on the underlying protocols. The core principle of modeling quantum attacks often reduces to the ability of the adversary to clone unknown quantum states and to extract thereby meaningful secret information. Explicit optimal attack strategies typically require high computational resources due to large circuit depths or, in many cases, are unknown. Here we introduce variational quantum cloning (VarQlone), a cryptanalysis algorithm based on quantum machine learning, which allows an adversary to obtain optimal approximate cloning strategies with short depth quantum circuits, trained using hybrid classical-quantum techniques. The algorithm contains operationally meaningful cost functions with theoretical guarantees, quantum circuit structure learning and gradient-descent-based optimization. Our approach enables the end-to-end discovery of hardware-efficient quantum circuits to clone specific families of quantum states, which we demonstrate in an implementation on the Rigetti Aspen quantum hardware. We connect these results to quantum cryptographic primitives and derive explicit attacks facilitated by VarQlone. We expect that quantum machine learning will serve as a resource for improving attacks on current and future quantum cryptographic protocols

    Biomolecular interaction simulation of supramolecular topologies of organometallic assemblies of Bi(V) with antibiotic Tetracycline Amoxicillin drugs and their experimental activities evaluation

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    This is an accepted manuscript of an article published by IS Publications in Journal of Biomedical & Therapeutic Sciences on 30/09/2020, available online: http://www.pubs.iscience.in/journal/index.php/jbts/article/view/926/594 The accepted version of the publication may differ from the final published version.Antibiotic drugs i.e. tetracycline and amoxicillin, were used mixed ligands (ML), for designing, architecturing, tailoring and synthesis for synthesis of supramolecular topologies of organometallic assemblies of Bi(V), represented as OMCs‐Bi(V), having O5 set for bonding. Molecular models were proposed as a standard to judge specific interactions in topologies of molecules of ML and derived organometallic assemblies. In OMCs‐Bi(V), on chelation, polarity of Bi(V) get reduced to great extent due to overlap of ML orbital. As a result, delocalization of π‐electrons density clouds get spread over the surface of chelating ring and enhances penetration power of OMCs‐Bi(V) into lipid membranes. This influenced binding with enzyme sites in microorganisms. Some electron set for bonding groups present in ligands moieties display extensive biological activity that may be responsible for increase in hydrophobic character and liposolubility of supramolecular topologies of organometallic of assemblies; ultimately enhanced biological activity of OMCs‐Bi(V)

    Corrigendum: Microenvironment Cell Contribution to Lymphoma Immunity

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    Lymphoma microenvironment is a complex system composed of stromal cells, blood vessels, immune cells as well as extracellular matrix, cytokines, exosomes, and chemokines. In this review, we describe the function, localization, and interactions between various cellular components. We also summarize their contribution to lymphoma immunity in the era of immunotherapy. Publications were identified from searching Pubmed. Primary literature was carefully evaluated for replicability before incorporating into the review. We describe the roles of mesenchymal stem/stromal cells (MSCs), lymphoma-associated macrophages (LAMs), dendritic cells, cytotoxic T cells, PD-1 expressing CD4+ tumor infiltrating lymphocytes (TILs), T-cells expressing markers of exhaustion such as TIM-3 and LAG-3, regulatory T cells, and natural killer cells. While it is not in itself a cell, we also include a brief overview of the lymphoma exosome and how it contributes to anti-tumor effect as well as immune dysfunction. Understanding the cellular players that comprise the lymphoma microenvironment is critical to developing novel therapeutics that can help block the signals for immune escape and promote tumor surveillance. It may also be the key to understanding mechanisms of resistance to immune checkpoint blockade and immune-related adverse events due to certain types of immunotherapy

    Microenvironment Cell Contribution to Lymphoma Immunity

    Get PDF
    Lymphoma microenvironment is a complex system composed of stromal cells, blood vessels, immune cells as well as extracellular matrix, cytokines, exosomes, and chemokines. In this review, we describe the function, localization, and interactions between various cellular components. We also summarize their contribution to lymphoma immunity in the era of immunotherapy. Publications were identified from searching Pubmed. Primary literature was carefully evaluated for replicability before incorporating into the review. We describe the roles of mesenchymal stem/stromal cells (MSCs), lymphoma-associated macrophages (LAMs), dendritic cells, cytotoxic T cells, PD-1 expressing CD4+ tumor infiltrating lymphocytes (TILs), T-cells expressing markers of exhaustion such as TIM-3 and LAG-3, regulatory T cells, and natural killer cells. While it is not in itself a cell, we also include a brief overview of the lymphoma exosome and how it contributes to anti-tumor effect as well as immune dysfunction. Understanding the cellular players that comprise the lymphoma microenvironment is critical to developing novel therapeutics that can help block the signals for immune escape and promote tumor surveillance. It may also be the key to understanding mechanisms of resistance to immune checkpoint blockade and immune-related adverse events due to certain types of immunotherapy
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