Results 101 to 110 of about 390,378 (322)
N-FRACTIONAL CALCULUS OPERATOR METHOD TO THE EULER EQUATION
We can obtain the explicit solutions of the Euler equation by using the fractional calculus methods. So, we apply the N operator method in the fractional calculus to solve this equation in this paper.
R. Yilmazer, O. Ozturk
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A boundary value problem for a system of ordinary linear differential equations of the first order [PDF]
Gilbert Ames Bliss
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EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche+8 more
wiley +1 more source
On the solution of some simple fractional differential equations
The differintegration or fractional derivative of complex order ν, is a generalization of the ordinary concept of derivative of order n, from positive integer ν=n to complex values of ν, including also, for ν=−n a negative integer, the ordinary n-th ...
L. M. B. C. Campos
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Modified Riccati technique for half-linear differential equations with delay
We study the half-linear differential equation $$ (r(t)\Phi(x'(t)))'+c(t)\Phi(x(\tau(t)))=0,\quad \Phi(x):=|x|^{p-2}x,\ p>1. $$ We formulate new oscillation criteria for this equation by comparing it with a certain ordinary linear or half-linear ...
Simona Fišnarová, Robert Marik
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Heat transfer in a plane incompressible laminar jet [PDF]
Partial differential equation for heat transfer in plane incompressible laminar jet is reduced by similarity transformation to ordinary differential ...
Millsaps, K., Soong, N. L.
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Some of the developments in the theory of ordinary differential equations between 1878 and 1893 [PDF]
Thomas Craig
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Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Complex-Valued Ordinary Differential Equation Modeling for Time Series Identification
Time series identification is one of the key approaches to dealing with time series data and discovering the change rules. Therefore, time series forecasting can be treated as one of the most challenging issues in this field.
Bin Yang, Wenzheng Bao
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