Bulk metallic glasses
… The diagram shows the typical “C” curve and a minimum crystallization time of 60 s at 895
K. For … The “C” shape is the result of the competition between the increasing driving force for …
K. For … The “C” shape is the result of the competition between the increasing driving force for …
Two-photon excitation fluorescence microscopy
PTC So, CY Dong, BR Masters… - Annual review of …, 2000 - annualreviews.org
… fluorophore's two-photon absorption at wavelength λ, p 0 is the average laser intensity, f p
is the laser's repetition rate, NA is the numerical aperture of the focusing objective, and and c …
is the laser's repetition rate, NA is the numerical aperture of the focusing objective, and and c …
MAP kinases in the immune response
… prototype Th1 specific cytokine, led to the identification of c-jun/ATF2 sites and a series of …
(57, 58) showed that the proximal element that carries a c-jun/ATF2 site, factors which are p38 …
(57, 58) showed that the proximal element that carries a c-jun/ATF2 site, factors which are p38 …
A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17
… mice and BALB/c control mice that we … c-Maf, the T H 2 transcription factor important for IL-4
expression, in IL-17 expression, we purified naive CD4 + T cells from mice with or without a c…
expression, in IL-17 expression, we purified naive CD4 + T cells from mice with or without a c…
[HTML][HTML] A trial of lopinavir–ritonavir in adults hospitalized with severe Covid-19
…, S Tu, F Gong, Y Liu, Y Wei, C Dong… - New England journal …, 2020 - Mass Medical Soc
Background No therapeutics have yet been proven effective for the treatment of severe
illness caused by SARS-CoV-2. Methods We conducted a randomized, controlled, open-label …
illness caused by SARS-CoV-2. Methods We conducted a randomized, controlled, open-label …
Learning a deep convolutional network for image super-resolution
… Note that our method can be extended to directly training on color images by setting c = 3.
We use c = 1 in this paper mainly for fair comparison with previous methods, as most of them …
We use c = 1 in this paper mainly for fair comparison with previous methods, as most of them …
Image super-resolution using deep convolutional networks
… Here, W1 corresponds to n1 filters of support c  f1  f1, where c is the number of channels
… on the image, and each convolution has a kernel size c  f1  f1. The output is composed of …
… on the image, and each convolution has a kernel size c  f1  f1. The output is composed of …
Accelerating the super-resolution convolutional neural network
As a successful deep model applied in image super-resolution (SR), the Super-Resolution
Convolutional Neural Network (SRCNN) [ 1 , 2 ] has demonstrated superior performance to …
Convolutional Neural Network (SRCNN) [ 1 , 2 ] has demonstrated superior performance to …
[PDF][PDF] Detection of SARS-CoV-2-specific humoral and cellular immunity in COVID-19 convalescent individuals
… In order to detect anti-viral immune responses, we first constructed recombinant pET28-N-6XHis
by linking six copies of His tag to the C terminus of NP in the pET28-N vector (Biomed, …
by linking six copies of His tag to the C terminus of NP in the pET28-N vector (Biomed, …
Esrgan: Enhanced super-resolution generative adversarial networks
… The standard discriminator in SRGAN can be expressed as D(x) = σ(C(x)), where σ is the
sigmoid function and C(x) is the non-transformed discriminator output. Then the RaD is for…
sigmoid function and C(x) is the non-transformed discriminator output. Then the RaD is for…