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Large blocks of stock play an important role in many studies of corporate governance and finance. Despite this important role, there is no standardized data set for these blocks, and the best available data source, Compact Disclosure, has many mistakes and ...
Batch control has traditionally addressed the problems related to the absence of a steady state and the finite batch duration. Recently, batch control has added the dimension that arises naturally from the possibility of applying run-to-run control, i.e. i ...
We present a novel framework for automatically constraining parameters of compartmental models of neurons, given a large set of experimentally-measured responses of these neurons. In experiments, intrinsic noise gives rise to a large variability (e.g., in ...
An experimental and theoretical investigation of the flow at the outlet of a Francis turbine runner is carried out in order to elucidate the causes of a sudden drop in the draft tube pressure recovery coefficient at a discharge near the best efficiency ope ...
We propose a semiparametric model for regression problems involving multiple response variables. The model makes use of a set of Gaussian processes that are linearly mixed to capture dependencies that may exist among the response variables. We propose an e ...
The magneto-optical technique was used to study the edge barrier for flux entry in type I superconducting strips (In, Pb). The width of the flux-free zones appearing at the sample edges, due to the barrier, was measured at different applied fields and temp ...
The selection of the number of past observations to be included in a linear predictor (the order of the predictor) should be done with minimum variability, since this latter is not taken into account in the inference stage. For finite time series, there is ...
A modified bench scale calorimeter has been employed to det. the heat generated by various microbial strains growing on a range of different substrates, covering degrees of redn. from 3 to 6.13. The results are analyzed and interpreted in the light of coup ...
Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic Signal and a genetically expressed activity reporter fluorescent protein (synaptop ...
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Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic signal and a genetically expressed activity reporter fluorescent protein (synaptop ...