An alternative strategy is explored for the separation of samples by liquid chromatography (LC). Unlike traditional approaches that aim to resolve all components in a given sample within a single LC separation, the proposed strategy uses two or more distinct separations carried out with a different gradient program and/or using different separation...
Topological Data Analysis (TDA) provides a pipeline to extract quantitative topological descriptors from structured objects. This enables the definition of topological loss functions, which assert to what extent a given object exhibits some topological properties. These losses can then be used to perform topological optimization via gradient descen...
This technical note aims at optimizing the concentration ratio of multi-faceted focusing heliostats implemented into a solar tower power plant. The ideal shape of a heliostat located off-axis in the field is known to be the local section of a fictitious paraboloïd whose parameters are varying continuously with the Sun angular position. We describe ...
Published in Microbial cell factories
Uricase is a bio-drug used to reduce urate accumulation in gout disease. Thus, there is a continuous demand for screening soil samples derived from a variety of different sources in order to isolate a strain that possesses a high potential for producing uricase. Streptomyces sp. strain NEAE-5 demonstrated a significant capacity for uricase producti...
Published in E3S Web of Conferences
This work focused on the energy-efficient fabrication of Al7178 based hybrid nanocomposites reinforced with TiB2 & SiO2 by using the stir-casting technique. The investigation aimed to optimize process factors including stirring speed, stirring time, reinforcement weight percentage, and preheat temperature, to improve the tensile strength of the Al7...
This paper proposes a Markov Decision Process (MDP) approach to compute the optimal on-line speed scaling policy that minimizes the energy consumption of a single processor executing a finite or infinite set of jobs with real-time constraints, in the non-clairvoyant case,i.e., when the actual execution time of the jobs is unknown when they are rele...
Published in Journal of Physics: Conference Series
The three-dimensional variational (3DVar) data assimilation is a critical component of air quality prediction, and the forecast state in air quality prediction is inferred to be approximately low rank and heavily laden with low-frequency noises through the application of tensor decomposition. To reduce the effects of these uncertainties and achieve...
The distribution of fiber diameters plays a crucial role in the transport and sound absorbing properties of a threedimensional random fibrous (3D-RF) medium. Conventionally, volume-weighted averaging of fiber diameters has been utilized as an appropriate microstructural descriptor to predict the static viscous permeability of 3D-RF media. However, ...
In this paper, an approach based on Machine Learning (ML) to predict the maximum achievable performance (fractional bandwidth and total efficiency) of a printed Inverted F-antennas (IFAs) integrated into compact IoT terminals is proposed. This original approach relies on the use of a Multi-Layer Perceptron (MLP) artificial neural network (ANN), whi...
