154 research outputs found
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities
We prove exponential expressivity with stable ReLU Neural Networks (ReLU NNs)
in for weighted analytic function classes in certain polytopal
domains , in space dimension . Functions in these classes are
locally analytic on open subdomains , but may exhibit isolated
point singularities in the interior of or corner and edge
singularities at the boundary . The exponential expression
rate bounds proved here imply uniform exponential expressivity by ReLU NNs of
solution families for several elliptic boundary and eigenvalue problems with
analytic data. The exponential approximation rates are shown to hold in space
dimension on Lipschitz polygons with straight sides, and in space
dimension on Fichera-type polyhedral domains with plane faces. The
constructive proofs indicate in particular that NN depth and size increase
poly-logarithmically with respect to the target NN approximation accuracy
in . The results cover in particular solution sets
of linear, second order elliptic PDEs with analytic data and certain nonlinear
elliptic eigenvalue problems with analytic nonlinearities and singular,
weighted analytic potentials as arise in electron structure models. In the
latter case, the functions correspond to electron densities that exhibit
isolated point singularities at the positions of the nuclei. Our findings
provide in particular mathematical foundation of recently reported, successful
uses of deep neural networks in variational electron structure algorithms.Comment: Found Comput Math (2022
Prevalence of foodborne pathogens in rural pigs and in derived cold pork meats - preliminary report
The rural breeding of one or two pigs and their domestic slaughtering is a significance reality in the Veneto Region, as a consequence of an ancient tradition still surviving in this countryside. In the eastern part of the Venice Province, about 2,500 rural pigs are bred and slaughtered ever year in the period between November and February. Many data are available on mdustnal breeding and processing, whereas very little is known about the prevalence of foodborne pathogens both in live ammals and in denved food, mainly sausage, salami and cold pork meats
Plant height and hydraulic vulnerability to drought and cold
Understanding how plants survive drought and cold is increasingly important as plants worldwide experience dieback with drought in moist places and grow taller with warming in cold ones. Crucial in plant climate adaptation are the diameters of water-transporting conduits. Sampling 537 species across climate zones dominated by angiosperms, we find that plant size is unambiguously the main driver of conduit diameter variation. And because taller plants have wider conduits, and wider conduits within species are more vulnerable to conduction-blocking embolisms, taller conspecifics should be more vulnerable than shorter ones, a prediction we confirm with a plantation experiment. As a result, maximum plant size should be short under drought and cold, which cause embolism, or increase if these pressures relax. That conduit diameter and embolism vulnerability are inseparably related to plant size helps explain why factors that interact with conduit diameter, such as drought or warming, are altering plant heights worldwide
Managerial coordination challenges in the alignment of capabilities and new subsidiary charters in MNEs
Subsidiary-level change requires the alignment of subsidiary charters and capabilities. Yet, the mechanisms through which the alignment of charters and capabilities unfolds are not yet well understood. In this paper, we investigate alignment from the perspective of managerial coordination. Drawing on a longitudinal study of a global IT firm, we identify three coordination mechanisms (charter-, experience-, and interaction-based coordination). By tracing the shifts in these coordination mechanisms over time and by specifying the implications of each mechanism for capability level change, we explain how managerial coordination influences alignment via subsidiary level capability change as well as alignment via the potential renegotiation of charters. This also allows us to provide new insights into situations of misalignment by explaining that particular mechanisms of coordination may become a source of decoupling between subsidiary actions and HQ mandates and may also result in capability level inertia. Moreover, while prior research has already acknowledged the role of interaction-based coordination for capability level change we show how and why such a mechanism of coordination emerges. ABSTRACT FROM AUTHO
On the Finite Energy Weak Solutions to a System in Quantum Fluid Dynamics
In this paper we consider the global existence of weak solutions to a class
of Quantum Hydrodynamics (QHD) systems with initial data, arbitrarily large in
the energy norm. These type of models, initially proposed by Madelung, have
been extensively used in Physics to investigate Supefluidity and
Superconductivity phenomena and more recently in the modeling of semiconductor
devices . Our approach is based on various tools, namely the wave functions
polar decomposition, the construction of approximate solution via a fractional
steps method, which iterates a Schr\"odinger Madelung picture with a suitable
wave function updating mechanism. Therefore several \emph{a priori} bounds of
energy, dispersive and local smoothing type allow us to prove the compactness
of the approximating sequences. No uniqueness result is provided
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