Retentive capacity of power output and linear versus non-linear mapping of power loss in the isotonic muscular endurance test [PDF]
Scientific Reports, 2021 The limit of dynamic endurance during repetitive contractions has been referred to as the point of muscle fatigue, which can be measured by mechanical and electrophysiological parameters combined with subjective estimates of load tolerance for revealing ...
Hong-qi Xu +8 more
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Model-based prediction of spatial gene expression via generative linear mapping [PDF]
Nature Communications, 2021 Single cell RNA-seq loses spatial information of gene expression in multicellular systems because tissue must be dissociated. Here, the authors show the spatial gene expression profiles can be both accurately and robustly reconstructed by a new ...
Yasushi Okochi +4 more
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Linear mapping approximation of gene regulatory networks with stochastic dynamics [PDF]
Nature Communications, 2018 The intractability of most stochastic models of gene regulatory networks (GRNs) limits their utility. Here, the authors present a linear-mapping approximation mapping models onto simpler ones, giving approximate but accurate analytic or semi- analytic ...
Zhixing Cao, Ramon Grima
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OmiGA for ultra-efficient molecular quantitative trait loci mapping [PDF]
Nature CommunicationsMolecular quantitative trait loci (molQTL) mapping is one of the most popular approaches to systematically characterize functional impacts of genomic variants, leading to advanced understanding of the regulatory mechanisms underpinning complex traits and
Jinyan Teng +6 more
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Image Cryptography Based On A Second-Order QRT Difference Equation [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 The use of mathematical concepts of mapping in cryptography provides advantages in securing text or image data. The qualitative properties of mapping can preserve data that is kept confidential.
Agus Sutrisno +3 more
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Locally linear attributes of ReLU neural networks
Frontiers in Artificial Intelligence, 2023 A ReLU neural network functions as a continuous piecewise linear map from an input space to an output space. The weights in the neural network determine a partitioning of the input space into convex polytopes, where each polytope is associated with a ...
Ben Sattelberg +4 more
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On a sum form functional equation emerging from statistics and its applications
Results in Nonlinear Analysis, 2021 In this paper, we obtain the general solutions of a sum form functional equation arising from the expected value of a discrete random variable. The significance of its general solutions in reference to entropies emerging from information theory and ...
Dhiraj Kumar Singh, Shveta Grover
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Leveraging linear mapping for model-agnostic adversarial defense
Frontiers in Computer Science, 2023 In the ever-evolving landscape of deep learning, novel designs of neural network architectures have been thought to drive progress by enhancing embedded representations.
Huma Jamil +5 more
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Convolutions, integral transforms and integral equations by means of the theory of reproducing kernels [PDF]
Opuscula Mathematica, 2012 This paper introduces a general concept of convolutions by means of the theory of reproducing kernels which turns out to be useful for several concrete examples and applications.
Luis P. Castro +2 more
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E-HMAC: An Efficient Secure Homomorphic MAC Scheme for NC-Enabled WSNs
EAI Endorsed Transactions on Mobile Communications and Applications, 2021 The main goal of Network Coding (NC) is to find an optimal transmission of data in a network. NC presents an advantage for wireless sensor networks (WSNs) in term of network lifetime.
Haythem Hayouni
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