Ricerc@Sapienza

Alzheimer's disease (AD) is the most common neurodegenerative disorder and the primary form of dementia in the elderly. One of the main features of AD is the increase in amyloid-beta (Aβ) peptide production and aggregation, leading to oxidative stress, neuroinflammation and neurodegeneration. Polyphenols are well known for their antioxidant, anti-inflammatory and neuroprotective effects and have been proposed as possible therapeutic agents against AD.

The principles on how neurons encode and process information from low-level stimuli are still open questions in neuroscience. Neuron models represent useful tools to answer this question but a sensitive method is needed to decode the input information embedded in the neuron spike sequence. In this work, we developed an automatic decoding procedure based on the SNR spectrum improved by low-pass homomorphic filtering. The procedure was applied to a stochastic Hodgkin Huxley neuron model forced by a low-level sinusoidal signal in the range 50 Hz-300 Hz.

In this contribution, we analyze the bistatic scattering generated by agricultural soils, which can be characterized by a strong anisotropic component of the rough surface profile. A novel spectral representation is proposed in conjunction with a numerical solution of the scattering based on the well-known small-slope approximation. Comparisons are given with different modeling. The investigation provides interesting and novel information on the phenomenology of the bistatic scattering from the anisotropic soil.

Motivated by recent theoretical challenges for 5G, this study aims to position relevant results in the literature on codedomain non-orthogonal multiple access (NOMA) from an information-theoretic perspective, given that most of the recent intuition of NOMA relies on another domain, that is, the power domain. Theoretical derivations for several code-domain NOMA schemes are reported and interpreted, adopting a unified framework that focuses on the analysis of the NOMA spreading matrix, in terms of load, sparsity, and regularity features.

Nondestructive techniques to measure dielectric properties of aqueous samples have become a crucial research topic for their impact on emerging biomedical applications. Accurate modeling of the dielectric behavior of biological tissues is fundamental to properly assess biomedical microwave imaging techniques. But it is also highly demanded to enable more reliable pretreatment planning for therapeutic technologies using electromagnetic fields such as hyperthermia and thermal ablation.

Hyperthermia is a therapeutic technique used to enhance the efficacy of radiotherapy and chemotherapy in the treatment of oncological pathologies, by way of a temperature increase of 41–43°C in the target region. To validate hyperthermia devices, as well as the numerical codes used to simulate hyperthermia treatments, simple phantoms are used. This article considers the influence of phantoms’ geometry, dimensions, and considered organs, on the electromagnetic power absorption.

Medical applications of electromagnetic fields are emerging as new options for diagnosis and therapy of several diseases. Examples are microwave (MW) resonance imaging, ultrawideband (UWB) radars for the detection and monitoring of the respiratory or cardiac activities, thermal therapies for the minimally invasive treatment of tumors.

A general numerical method for calculating the time-domain characteristics of the electromagnetic field generated by a pulsed dipole in the presence of a planar multilayered screen is presented. The method involves the efficient evaluation of classical Sommerfeld integrals and an inverse Fourier transform to recover the time-domain field from the frequency-domain field. For sufficiently thin screens with highly conductive properties, an analytical method, based on a modified Cagniard–de Hoop approach, is also presented to validate the results.

It is expected that the pervasive deployment of multi-tier 5G-supported Mobile-Fog-Cloudtechnological computing platforms will constitute an effective means to support the real-time execution of future Internet applications by resource- and energy-limited mobile devices. Increasing interest in this emerging networking-computing technology demands the optimization and performance evaluation of several parts of the underlying infrastructures.

The purpose of this paper is to illustrate a multidisciplinary model for safety and security management (IMMSSM) which can be implemented by means of a suitable Integrated Technological System Framework (ITSF) that can be based on Internet of Things (IoT)/Internet of Everything (IoE), showing also the significant role played by the integration of the elements that compose the model itself, thanks to a proper genetic algorithm studied for the specific context.