Multi-objective optimization of RF circuit blocks via surrogate models and NBI and SPEA2 methods

Multi-objective optimization techniques can be categorized globally into deterministic and evolutionary methods. Examples of such methods are the Normal Boundary Intersection (NBI) method and the Strength Pareto Evolutionary Algorithm (SPEA2), respectively. With both methods one explores trade-offs between conflicting performances. Surrogate models can replace expensive circuit simulations so enabling faster computation of circuit performances. As surrogate models of behavioral parameters and performance outcomes, we consider look-up tables with interpolation and Neural Network models

Shedding Light on Diatom Photonics by means of Digital Holography

Diatoms are among the dominant phytoplankters in the worl's ocean, and their external silica investments, resembling artificial photonics crystal, are expected to play an active role in light manipulation. Digital holography allowed studying the interaction with light of Coscinodiscus wailesii cell wall reconstructing the light confinement inside the cell cytoplasm, condition that is hardly accessible via standard microscopy. The full characterization of the propagated beam, in terms of quantitative phase and intensity, removed a long-standing ambiguity about the origin of the light. The data were discussed in the light of living cell behavior in response to their environment

Robust transfer function identification via an enhanced magnitude vector fitting algorithm

The study introduces an enhanced version of the magnitude vector fitting (magVF) algorithm, a robust procedure for the identification of a transfer function from magnitude frequency domain data. The approach is based on the rational approximation of the magnitude square function with enforcement of symmetric poles and zeros, followed by the elimination of poles and zeros located in the right half-plane. The obtained transfer function is stable and of minimum-phase shift type. Robustness and accuracy of the basic magVF algorithm are enhanced by enforcing that the magnitude square rational function is non-negative definite and by introducing a new method to remove purely imaginary conjugate poles from the approximation. Practical application of the proposed approach is demonstrated for measured transformer responses and transmission line propagation functions

O-MOORE-NICE!: new methodologies and algorithms for design and simulation of analog integrated circuits

No abstract

Recent Clinical and Preclinical Studies of Hydroxychloroquine on RNA Viruses and Chronic Diseases: A Systematic Review

The rapid spread of the new Coronavirus Disease 2019 (COVID-19) has actually become the newest challenge for the healthcare system since, to date, there is not an effective treatment. Among all drugs tested, Hydroxychloroquine (HCQ) has attracted significant attention. This systematic review aims to analyze preclinical and clinical studies on HCQ potential use in viral infection and chronic diseases. A systematic search of Scopus and PubMed databases was performed to identify clinical and preclinical studies on this argument; 2463 papers were identified and 133 studies were included. Regarding HCQ activity against COVID-19, it was noticed that despite the first data were promising, the latest outcomes highlighted the ineffectiveness of HCQ in the treatment of viral infection. Several trials have seen that HCQ administration did not improve severe illness and did not prevent the infection outbreak after virus exposure. By contrast, HCQ arises as a first-line treatment in managing autoimmune diseases such as rheumatoid arthritis, lupus erythematosus, and Sjögren syndrome. It also improves glucose and lipid homeostasis and reveals significant antibacterial activity

The ligand-receptor interactions based on silicon technology

We explored the use of porous silicon (pSi) technology for the construction of a biotechnological device, in which the ligand-receptor interactions are revealed by means of laser optical measurements. Here we report the settling of chemical procedures for the functionalization of the silicon wafers and for the subsequent anchoring of biological molecules such as a purified murine monoclonal antibody (UN1 mAb), an antibody anti-P8 protein of M13 phage and an antibody anti-A20 murine lymphoma cell line. The optical analysis of the interaction on the biochips between the bound biomolecules and their corresponding ligands indicated that the pSi is suitable for thi

OptEEmAL: Decision-Support Tool for the Design of Energy Retrofitting Projects at District Level

Designing energy retrofitting actions poses an elevated number of problems, as the definition of the baseline, selection of indicators to measure performance, modelling, setting objectives, etc. This is time-consuming and it can result in a number of inaccuracies, leading to inadequate decisions. While these problems are present at building level, they are multiplied at district level, where there are complex interactions to analyse, simulate and improve. OptEEmAL proposes a solution as a decision-support tool for the design of energy retrofitting projects at district level. Based on specific input data (IFC(s), CityGML, etc.), the platform will automatically simulate the baseline scenario and launch an optimisation process where a series of Energy Conservation Measures (ECMs) will be applied to this scenario. Its performance will be evaluated through a holistic set of indicators to obtain the best combination of ECMs that complies with user's objectives. A great reduction in time and higher accuracy in the models are experienced, since they are automatically created and checked. A subjective problem is transformed into a mathematical problem; it simplifies it and ensures a more robust decision-making. This paper will present a case where the platform has been tested.This research work has been partially funded by the European Commission though the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 680676. All related information to the project is available at https://www.opteemal-project.eu

PROTEOMICS AS USEFUL TOOL FOR STUDING BIOMARKERS OF EARLY EXPOSURE TO POLYCHLORINATED BIPHENILS

Polychlorinated biphenyls (PCBs) are toxic persistent organic pollutants present in the hydrosphere. Mussels are used as sentinel organisms for the monitoring of marine pollution for their ability to bioaccumulate contaminants, their sessile nature, filter-feeding habits and widespread distribution. Alteration in protein expression is often indicative of toxic exposure or effect and changes in protein expression profiles derived from environmental stress may be used for the identification of novel biomarkers. In this study, proteomics has been used in mussels as a preliminary screening of quantitative changes in protein expression caused by a mixture of PCBs, potentially useful as new biomarkers, following the identification of the proteins more drastically altered. Our data demonstrated that proteomic approach represents a valuable tool for identifying biomarkers of exposure to environmental contaminants

Proteomic approach for the detection of biomarkers ofexposure in mussels exposed to PCB

In the current study, a preliminary proteomic approach has been used in Mytilus galloprovincialis as a screening of changes in protein expression caused by a mixture of polychlorinated biphenyls (PCBs), in order to characterize the effects of PCBs on the protein profile and to develop new molecular biomarkers, after identifying the proteins more drastically altered. Methods:Mussels were exposed for three weeks to three polychlorinated biphenyls under controlled conditions. The edible parts were homogenized and lyophilized. Extracted proteins were quantified and separated by two-dimensional electrophoresis (2-DE) in IPG strips (pH 3–10). The protein spots in gels were visualized by Coomassie Brilliant Blue staining. Gel images were obtained using a Image Scanner. Image analysis included spot detection, quantification and matching. The volume of each spot from each gel was normalized to the total gel spot volume in order to correct it for differences in gel staining. More than 500 spots were resolved and altered expression was qualitatively detected. Results and conclusions of the study: Our results showed a well conserved protein pattern regardless of the treatments, demonstrating that the exposition to the PCB mixture did not impair the normal physiological function of the mussels. However, the levels of a restricted number of proteins were clearly and reproducibly affected by the treatment; therefore, these polypeptides were considered promising biomarker candidates. In conclusion, even if further studies are needed to validate these findings, our data demonstrated that proteomic approach represents a valuable tool for identifying biomarkers of exposure to environmental contaminants