In many applications, a combinatorial problem must be repeatedly solved with similar, but distinct parameters. Yet, the parameters w are not directly observed;only contextual data d that correlates with w is available...
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In this paper we consider the filtering of partially observed multi-dimensional diffusion processes that are observed regularly at discrete times. This is a challenging problem which requires the use of advanced numer...
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Let G be a finite simple non-complete connected graph on [n] = {1, . . ., n} and κ(G) ≥ 1 its vertex connectivity. Let f (G) denote the number of free vertices of G and diam(G) the diameter of G. The final goal of t...
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Alzheimer’s disease (AD) is a heterogeneous type of dementia. Mild cognitive impairment (MCI) is the early stage of cognitive decline before AD. Predicting the MCI-to-AD conversion remains challenging due to the hete...
Alzheimer’s disease (AD) is a heterogeneous type of dementia. Mild cognitive impairment (MCI) is the early stage of cognitive decline before AD. Predicting the MCI-to-AD conversion remains challenging due to the heterogeneity of patients. Previous evidence shows that the brain network generated from diffusion MRI promises to classify dementia. However, the limited availability of diffusion MRI obstructs the training of deep learning models. Here, we firstly develop a cross-modal approach to generate brain networks from anatomical MRI under the guidance of diffusion MRI. We then construct the healthy ageing trajectories of controls with a generative model. Finally, we design a recurrent neural networks-based approach to model the longitudinal deviation of patients’ brain networks from the healthy ageing trajectory. Numerical results show that the proposed methods outperform the benchmarks in the prediction task. We also visualize the model interpretation to explain the prediction and identify abnormal changes in white matter tracts.
The multi-type Moran process is an evolutionary process on a connected graph G in which each vertex has one of k types and, in each step, a vertex v is chosen to reproduce its type to one of its neighbours. The probab...
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The purpose of this work is to study the need for the use and methods of implementing technical systems that allow automatic assessment of the electrostatic situation and seismic activity during rescue operations usin...
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We consider the development of unbiased estimators, to approximate the stationary distribution of Mckean-Vlasov stochastic differential equations (MVSDEs). These are an important class of processes, which frequently a...
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Crimes against children are a direct threat to the world of tomorrow. The future of the world is in the hands of children who are the real wealth of mankind. The challenge for society is to address and handle challeng...
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Let G be graph with vertex set V and order n = |V|. A coalition in G is a combination of two distinct sets, A ⊆ V and B ⊆ V, which are disjoint and are not dominating sets of G, but their union A ∪ B is a dominating ...
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The prime objective of the present communication is to examine the entropy-optimized second order velocity slip Darcy–Forchheimer hybrid nanofluid flow of viscous material between two rotating *** conducting flow is ...
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The prime objective of the present communication is to examine the entropy-optimized second order velocity slip Darcy–Forchheimer hybrid nanofluid flow of viscous material between two rotating *** conducting flow is considered and saturated through Darcy–Forchheimer *** the disks are rotating with different angular frequencies and stretches with different *** graphene oxide and titanium dioxide are considered for hybrid nanoparticles and water as a continuous phase *** heating,heat generation/absorption and viscous dissipation effects are incorporated in the mathematical modeling of energy ***,binary chemical reaction with activation energy is *** total entropy rate is calculated in the presence of heat transfer irreversibility,fluid friction irreversibility,Joule heating irreversibility,porosity irreversibility and chemical reaction irreversibility through thermodynamics second *** nonlinear governing equations are first converted into ordinary differential equations through implementation of appropriate similarity transformations and then numerical solutions are calculated through Built-in-Shooting *** of sundry flow variables on the entropy generation rate,velocity,concentration,Bejan number,temperature are discussed graphically for both graphene oxide and titanium dioxide hybrid *** engineering interest like skin friction coefficient and Nusselt number are computed numerically and presented through *** is noticed from the obtained results that entropy generation rate and Bejan number have similar effects versus diffusion *** entropy generation rate is more against the higher Brinkman number.
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