The application of a denoising method aimed at reducing continuous gravity data

This study summarizes the results obtained by using a processing method based on wavelet transform for noise-filtering of continuous gravity data. Continuous gravity recordings in vol- canic area could play a fundamental role in the monitoring of active volcanoes and in the prediction of eruptive events too. This geophysical methodology is used, on active volcanoes, in order to detect mass changes linked to magma transfer processes and, thus, to recognize forerunners to paroxysmal volcanic events. Spring gravimeters are still the most utilized in- struments for this type of microgravity studies. Unfortunately, spring gravity meters show a strong influence of meteorological parameters, especially in the adverse environmental condi- tions usually encountered at such places. As the gravity changes due to the volcanic activity are very small compared to other geophysical or instrumental effects, we need a new mathematical tool to get reliable gravity residuals susceptible to reflect the volcanic effect. The aim of the present work is to get a first evaluation about the comparison between the traditional filtering methodology and the wavelet transform. The overall results show that the performance of the wavelet-based filter seems better than the Fourier one. Moreover, the possibility of getting a multi-resolution analysis and study local features of the signal in the time domain makes the proposed methodology a valuable tool for gravity data processing

Tidal gravity observations at Mt. Etna and Stromboli: results concerning the modeled and observed tidal factors

Continuous gravity observations performed in the last few years, both at Mt. Etna and Stromboli, have prompted the need to improve the tidal analysis in order to acquire the best corrected data for the detection of volcano related signals. On Mt. Etna, the sites are very close to each other and the expected tidal factor differences are negligible. It is thus useful to unify the tidal analysis results of the different data sets in a unique tidal model. This tidal model, which can be independently confirmed by a modeling of the tidal parameters based on the elastic response of the Earth to tidal forces and the computation of the ocean tides effects on gravity, is very useful for the precise tidal gravity prediction required by absolute or relative discrete gravity measurements. The change in time of the gravimeters’ sensitivity is also an important issue to be checked since it affects not only the results of tidal analysis but also the accuracy of the observed gravity changes. Conversely, if a good tidal model is available, the sensitivity variations can be accurately reconstructed so as to retune observed tidal records with the synthetic tide, since the tidal parameters are assumed to be constant at a given location

Analisi spettrale parametrica e di polarizzazione applicate agli eventi sismici registrati sul vulcano sottomarino Marsili

Nel luglio 2006, nell’ambito della campagna di ricerche PRO.ME.TH.E.US (PROgram of Mediterranean Exploration for THermal Energy Use), l’OBS Lab dell’Osservatorio Geofisico di Gibilmanna dell’INGVCNT, ha deposto un prototipo di OBS/H sulla sommità del vulcano sottomarino Marsili (39° 16,383’ lat. Nord, 14° 23,588’ long. Est.) alla profondità di 790 m (D’Anna et alii, 2007); lo strumento ha registrato l’attività sismica del vulcano dal 12 al 21 luglio 2006. L’OBS/H era equipaggiato con un sismometro Trillium 40s della Nanometrics e un idrofono OAS E-2PD. La digitalizzazione è stata effettuata da un convertitore A/D a 21 bit a quattro canali (SEND Geolon MLS) e i segnali sono stati campionati ad una frequenza di 200 c/s (D’Anna et alii, 2007).In una prima fase di studio D’Alessandro et alii (2006) hanno individuato, nel segnale acquisito, la presenza di una elevata attività sismica (oltre 1000 eventi registrati in 9 giorni) legata probabilmente all’attività del vulcano Marsili oltre a eventi tettonici e forme d’onda transitorie di origine non sismica. In base ad analisi spettrali non parametriche, l’attività registrata era stata suddivisa in: eventi noti in letteratura come VT-B (Volcanic-Tectonic event, type B) che si manifestano in sciami, eventi ad alta frequenza legati a probabile attività idrotermale ed eventi classificabili come “Tornillo” o LPE (Long- Period Event) probabilmente generati da fenomeni di risonanza legati ad attività magmatica (Chouet, 1996). Al fine di caratterizzare con idonei parametri quantitativi i segnali appartenenti ai gruppi individuati e fare delle ipotesi sui diversi meccanismi sorgente, sono state successivamente eseguite analisi spettrali parametriche e di polarizzazione, che sono oggetto di questo lavoro. Rispetto all’analisi di Fourier, l’analisi spettrale parametrica permette di ottenere una migliore risoluzione, quando il segnale da analizzare presenta breve durata. Noi abbiamo applicato tale tipo di analisi agli eventi classificabili come Tornillo. Tali eventi sono generalmente quasi-monocromatici e presentano un inizio di tipo impulsivo, seguito da un lento e graduale decadimento in ampiezza. La descrizione delle frequenze di oscillazione di un Tornillo è di fondamentale importanza per stimare le caratteristiche della sorgente. Un metodo ad alta risoluzione spettrale basato sulle proprietà di un sistema dinamico è stato sviluppato da Kumazawa et alii (1990). Questo metodo chiamato Sompi è stato successivamente esteso da Yokoyama et alii (1997) alle equazioni AR non omogenee. Noi abbiamo utilizzato quest’ultimo metodo, implementando la procedura di Nakano et alii (1998), per analizzare i Tornillo ed attribuirgli una frequenza complessa.L’analisi di polarizzazione, risolvendo il problema agli autovalori associato alla matrice di covarianza dei segnali relativi alle tre componenti del moto, permette di definire l’orientazione e la lunghezza degli assi dell’ellissoide di polarizzazione associato alla finestra temporale del segnale sismico presa in esame. Al fine di migliorare la stima degli attributi di polarizzazione, la matrice di covarianza è stata corretta per la presenza di rumore sismico, sotto l’ipotesi di stocasticità e stazionarietà del rumore stesso. L’analisi di polarizzazione è stata applicata a oltre 200, tra gli eventi VT-B con maggiore energia, per individuare attraverso la direzione di polarizzazione delle fasi P (linearmente polarizzate) eventuali direzioni prevalenti di provenienza e quindi l’esistenza e ubicazione di volumi sismogenetici

A New Dissimilarity Measure for Clustering Seismic Signals

Hypocenter and focal mechanism of an earthquake can be determined by the analysis of signals, named waveforms, related to the wave field produced and recorded by a seismic network. Assuming that waveform similarity implies the similarity of focal parameters, the analysis of those signals characterized by very similar shapes can be used to give important details about the physical phenomena which have generated an earthquake. Recent works have shown the effectiveness of cross-correlation and/or cross-spectral dissimilarities to identify clusters of seismic events. In this work we propose a new dissimilarity measure between seismic signals whose reliability has been tested on real seismic data by computing external and internal validation indices on the obtained clustering. Results show its superior quality in terms of cluster homogeneity and computational time with respect to the largely adopted cross correlation dissimilarit

Deformed Special Relativity as an effective theory of measurements on quantum gravitational backgrounds

In this article we elaborate on a recently proposed interpretation of DSR as an effective measurement theory in the presence of non-negligible (albeit small) quantum gravitational fluctuations. We provide several heuristic arguments to explain how such a new theory can emerge and discuss the possible observational consequences of this framework.Comment: 11 pages, no figure

Mapping Orientational Order of Charge-Probed Domains in a Semiconducting Polymer

Structure–property relationships are of fundamental importance to develop quantitative models describing charge transport in organic semiconductor based electronic devices, which are among the best candidates for future portable and lightweight electronic applications. While microstructural investigations, such as those based on X-rays, electron microscopy, or polarized optical probes, provide necessary information for the rationalization of transport in macromolecular solids, a general model predicting how charge accommodates within structural maps is not yet available. Therefore, techniques capable of directly monitoring how charge is distributed when injected into a polymer film and how it correlates to structural domains can help fill this gap. Supported by density functional theory calculations, here we show that polarized charge modulation microscopy (p-CMM) can unambiguously and selectively map the orientational order of the only conjugated segments that are probed by mobile charge in the few nanometer thick accumulation layer of a high-mobility polymer-based field-effect transistor . Depending on the specific solvent-induced microstructure within the accumulation layer, we show that p-CMM can image charge-probed domains that extend from submicrometer to tens of micrometers size, with markedly different degrees of alignment. Wider and more ordered p-CMM domains are associated with improved carrier mobility, as extracted from device characteristics. This observation evidences the unprecedented opportunity to correlate, directly in a working device, electronic properties with structural information on those conjugated segments involved in charge transport at the buried semiconductor–dielectric interface of a field-effect device

Self-Powered Edible Defrosting Sensor

Improper freezing of food causes food waste and negatively impacts the environment. In this work, we propose a device that can detect defrosting events by coupling a temperature-activated galvanic cell with an ionochromic cell, which is activated by the release of ions during current flow. Both the components of the sensor are fabricated through simple and low-energy-consuming procedures from edible materials. The galvanic cell operates with an aqueous electrolyte solution, producing current only at temperatures above the freezing point of the solution. The ionochromic cell exploits the current generated during the defrosting to release tin ions, which form complexes with natural dyes, causing the color change. Therefore, this sensor provides information about defrosting events. The temperature at which the sensor reacts can be tuned between 0 and -50 °C. The device can thus be flexibly used in the supply chain: as a sensor, it can measure the length of exposure to above-the-threshold temperatures, while as a detector, it can provide a signal that there was exposure to above-the-threshold temperatures. Such a device can ensure that frozen food is handled correctly and is safe for consumption. As a sensor, it could be used by the workers in the supply chain, while as a detector, it could be useful for end consumers, ensuring that the food was properly frozen during the whole supply chain

Integration of onshore and offshore seismic arrays to study the seismicity of the Calabrian Region: a two steps automatic procedure for the identification of the best stations geometry

We plan to deploy in the Taranto Gulf some Ocean Bottom broadband Seismometer with Hydrophones. Our aim is to investigate the offshore seismicity of the Sibari Gulf. The seismographic network optimization consists in the identification of the optimal sites for the installation of the offshore stations, which is a crucial factor for the success of the monitoring campaign. In this paper, we propose a two steps automatic procedure for the identification of the best stations geometry. In the first step, based on the application of a set of a priori criteria, the suitable sites to host the ocean bottom seismic stations are identified. In the second step, the network improvement is evaluated for all the possible stations geometries by means of numerical simulation. The application of this procedure allows us to identify the best stations geometry to be achieved in the monitoring campaign

Diabetic Retinopathy in Newly Diagnosed Subjects With Type 2 Diabetes Mellitus: Contribution of β-Cell Function

Purpose: The association of hyperglycemia and diabetic retinopathy (DR) in established type 2 diabetes mellitus (T2DM) subjects is well accepted. However, the association between β-cell responsiveness and insulin sensitivity leading to fasting and postprandial hyperglycemia with DR in newly diagnosed treatment-naïve T2DM subjects remain unreported. Methods: A total of 544 newly diagnosed treatment-naïve T2DM subjects were screened for DR (digital photography) and underwent a standardized meal tolerance test. Serial plasma glucose and insulin levels were measured, and fasting (M0) and postprandial β-cell responsiveness calculated Calculating Pancreatic Response Program along with homeostasis model assessment-β cell function (HOMA-B) and HOMA-Insulin Sensitivity. A subgroup of 201 subjects also underwent a frequently sampled IV glucose tolerance test and the acute insulin response to glucose, insulin sensitivity, and glucose effectiveness (SG) estimated (MINMOD model). Results: A total of 16.5% (90) subjects had DR at diagnosis. Subjects with DR had significantly reduced M0, HOMA-B and SG leading to higher fasting and postprandial (2 hour) glucose and significantly lower fasting and postprandial (2 hour) insulin. Factors independently associated with DR in multivariate logistic regression analysis were M0, HOMA-B, and SG with fasting and postprandial (2 hour) glucose and insulin. There was no statistical difference in glycated hemoglobin, systolic blood pressure, acute insulin response to glucose, and insulin sensitivity between those with or without DR. Principal Conclusions: In this cohort of newly diagnosed T2DM subjects, DR is associated with reduced β-cell responsiveness, resulting from β-cell failure rather than insulin resistance, leading to fasting and postprandial hyperglycemia and hypoinsulinemi