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This paper discusses the sources of product innovation in young innovative companies (YICs), here defined as firms engaged in product innovation and with less than 8 years of activity. In particular, we look at in-house and external R&D and at the acquisit ...
Even if models are able to predict more and more accurately pollutant discharge in streams, surface water sampling remains a very common practice to monitor substance concentrations and loads in streams and to calibrate models. However, as this method is t ...
The ever-growing need for gene-expression data analysis motivates studies in sample generation due to the lack of enough gene-expression data. It is common that there are thousands of genes but only tens or rarely hundreds of samples available. In this pap ...
Computer simulations of biomolecules such as molecular dynamics simulations are limited by the time scale of conformational rearrangements. Several sampling techniques are available to search the multi-minima free energy landscape but most efficient, time- ...
The feasibility of high-throughput scanning electrochemical microscopy (SECM) of strongly tilted (tilt angles ≤4°) and curved substrates (diameter of curvature ≥9 cm) is demonstrated by brushing them with a soft linear array of carbon microelectrodes. This ...
This paper presents the first benchmarking test results of ITER correction coil (CC) conductor short samples CCCN1 and CCCN2. The Chinese first CC conductor short sample CCCN1 was prepared and tested at the Institute of Plasma Physics, Chinese Academy of S ...
Comprehensive, two-dimensional gas chromatography (GC x GC) chromatogram's typically exhibit run-to-run retention time variability. Chromatogram alignment is often a desirable step prior to further analysis of the data, for example, in studies of environme ...
The main goal of this project is to build a mean and to populate a database with correct information regarding some decided pairings. This database will then be compared to the results of algorithms that process the same pairings, which provides a way to a ...
Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nodes to a random subset of them. In a recent work [Eisenbrand,Grandoni,Rothvo\ ...
We study the problem of learning ridge functions of the form f(x) = g(aT x), x ∈ ℝd, from random samples. Assuming g to be a twice continuously differentiable function, we leverage techniques from low rank matrix recovery literature to derive a uniform app ...