000 photons per pixel. The acquired images of cells were thresholded to remove background signal from empty coverslip space. Mean fluorescence lifetimes were calculated in the LAS X software (Leica Microsystems) by fitting mono, bi, or triexponential decay models (n-exponential reconvolution) to ...
We envision that htFuncLib will be used in one-shot optimization of activity in enzymes, binders, and other proteins. Protein active sites comprise molecular-interaction networks that are critical to function. Due to the molecular density of the active site, however, the majority of mutations ...
KEDLAYA_ AN OVERVIEW OF THE $P$-ADIC LOCAL LANGLANDS CORRESPONDENCE 1:01:01 The sup norm problem in small I-adic 1:19:37 WILL SAWIN_ THE SUP-NORM PROBLEM FOR AUTOMORPHIC FORMS OVER FUNCTION FIELDS 1:00:55 IAN PETROW_ THE WEYL BOUND FOR DIRICHLET $L$-FUNCTIONS 1:04:11 VALENTIN ...
With the advent of advancements in deep learning approaches, such as deep convolution neural network, residual neural network, adversarial network; U-Net a
TheDirichlet convolutionMathMLof two arithmetic functionsMathMLis defined in the usual fashion as MathML Distribution estimates on arithmetic functions As mentioned in the introduction, a key ingredient in the Goldston-Pintz-Yıldırım approach to small gaps between primes comes from distribution...
Accurate somatic variant calling from next-generation sequencing data is one most important tasks in personalised cancer therapy. The sophistication of the available technologies is ever-increasing, yet, manual candidate refinement is still a necessary s
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Several exact solutions of distinct physical structures are obtained. The method is powerful with minimal algebra work and is demonstrated for four models. CAS-1 JCR-Q1 SCIE EI 166 被引用 · 0 笔记 引用 Discrete singular convolution for the sine-Gordon equation Gang Wang Physica D: Nonlinear ...
The increasing sophistication of malware variants such as encryption, polymorphism, and obfuscation calls for the new detection and classification technology. In this paper, MalDeep, a novel malware classification framework of deep learning based on texture visualization, is proposed against malicious varia...
(b) computing the i-th byte of the result of z'=x*y+r*n where y is a randomly chosen integer in a range o,b! and n is the product of two large primes p and q, using double convolution by (i) starting with c=0 (ii) for i=0, 1, . . . k-1, computing ##EQU3## (...