527 research outputs found

    Addressing COVID-19 Immune Storm: A Way Forward

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    COVID-19 a global pandemic is a cause for panic due to the increasing numbers and the associated fatality rate of ~5%. Death due to COVID-19 is ascribed majorly to the cytokine storm a hyper immune reaction that results in acute respiratory distress syndrome. Following the WHO Solidarity initiative, a large number of clinical trials approved at breakneck speed across the globe. It is encouraging to note that almost all trials are addressing both antiviral effect and lung protection. Clinical trials with a focus on decreasing mortality indeed harbinger a positive trend, as the world waits expectantly for a solution to this dreaded COVID-19 pandemic

    Image Compression System using ANN

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    The rapid growth of digital imaging applications, including desktop publishing, multimedia, teleconferencing, and high definition television (HDTV) has increased the need for effective and standardized image compression techniques. Among the emerging standards are JPEG, for compression of still images; MPEG, for compression of motion video; and CCITT H.261 (also known as Px64), for compression of video telephony and teleconferencing. All three of these standards employ a basic technique known as the discrete cosine transform (DCT), Developed by Ahmed, Natarajan, and Rao [1974]. Image compression using Discrete Cosine Transform (DCT) is one of the simplest commonly used compression methods. The quality of compressed images, however, is marginally reduced at higher compression ratios due to the lossy nature of DCT compression, thus, the need for finding an optimum DCT compression ratio. An ideal image compression system must yield high quality compressed images with good compression ratio, while maintaining minimum time cost. The neural network associates the image intensity with its compression ratios in search for an optimum ratio

    Modular invariance and entanglement entropy

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    Studies on Photoelectrochemical Storage Cells Using CdSe and SnS Electrodes

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    Semi Ideal and Semi Filter in Distributive Q lattices

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    In this paper, We define concepts of prime semi ideal, prime semi filter in distributive q - lattice A and we prove A non empty subset F of A ( F≠A) is prime semi filter if and only if ( A - F) is prime semi ideal. We define concepts of semi a - ideal, semi a - filter and prove if F be semi a - filter in A then F is maximal semi a - filter if for x ∉ F there exists y ∈ F such that a = y Ë„ x , and some equivalent conditions. We define a semi - ideal Pââ€Â´ = { x ∈ A / x Ë„ a = s for all a ∈ P } and some properties. If f: A → A′ be an onto homomorphism then we prove for any semi ideal Iââ€Â´ of A , f( Iââ€Â´) is semi ideal of Aâ€Â

    Effect of Annealing on the Structural and Optical Properties of SILAR Grown Cuxs Thin Films

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    Electrochemical Characterization of Cathodized Copper Oxide Thin Films

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    Cathodic electrodeposited copper oxide thin films were prepared using 0.1 M aqueous (distilled water) copper sulfate solution onto the surface of stainless steel substrates. Deposited samples were characterized by structural and morphological analysis using XRD and SeM. Prepared samples were also analyzed using cyclic voltammetry, charge-discharge, and impedance spectroscopy. electrode shows nearly rectangular capacitive behavior. The highest specific capacitance of 62 F/gm was calculated at a scan rate of 1 mV/sec in 1M Na2SO4 electrolyte. The internal resistance observed from the Nyquist plot which is about 1.95 Ω. Using the ZsimpWin software matched equivalent circuit and circuitry parameters were reported

    Preparation and Characterization of Spray Deposited CoS Thin Films

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