Summary The strong-motion accelerograms written by moderate and strong earthquakes occurring in Central Italy in recent years have been used to estimate physical quantities characterizing the spectrum of motion in the band of engineering interest (0.1 Hz≲f≲20 Hz). The source, propagation and site response parameters obtained in these analyses have therefore been employed to check if theoretical models may be used to correctly predict the trend of the peak values of seismic excitationvs. earthquake size in the areas investigated. For the selected data set, representative of a seismotectonic environment generating earthquakes with prevalent normal faulting (up to a magnitudeM l ∼7, at depths varying roughly from 5 to 15 km), the assumed spectral model allows successful statistical predictions showing that specific site response is the main factor responsible for the large fluctuations often observed in the data behaviour, at similar magnitudes and distances from focus.
Riassunto Gli accelerogrammi registrati in occasione di terremoti da moderati a forti nell'Italia Centrale negli ultimi anni sono stati utilizzati per la stima delle grandezze fisiche che caratterizzano lo spettro del moto nella banda di interesse ingegneristico (0.1 Hz≲f≲20 Hz). La parametrizzazione ottenuta per descrivere, mediamente, i meccanismi della sorgente, della propagazione e degli effetti di sito è stata quindi usata per verificare se i modelli teorici possono essere utilmente usati per prevedere gli andamenti dei valori di picco del moto in funzione dell'entità del terremoto. Per i dati selezionati, rappresentativi di un ambiente sismotettonico in grado di generare terremoti con meccanismi prevalentemente distensivi (fino ad una magnitudoM l ∼7, con profondità variabile all'incirca tra 5 e 15 km), il modello spettrale prescelto consente delle previsioni soddisfacenti da un punto di vista statistico, mostrando che la specifica risponsta dei siti è probabilmente il fattore che provoca le sensibili fluttuazioni spesso osservate per i valori di picco del moto, anche a parità di magnitudo e distanza dal fuoco.
Experimental measurements on semi-synchronous tumor cell populations show that after a few cell cycles they desynchronize completely, and this desynchronization reflects the intercell variability of cell-cycle duration. It is important to identify the sources of randomness that desynchronize a population of cells living in a homogeneous environment: for example, being able to reduce randomness and induce synchronization would aid in targeting tumor cells with chemotherapy or radiotherapy. Here we describe a statistical approach to the analysis of the desynchronization measurements that is based on minimal modeling hypotheses, and can be derived from simple heuristics. We use the method to analyze existing desynchronization data and to draw conclusions on the randomness of cell growth and proliferation. 相似文献
Let be a smooth projective algebraic curve of genus and an integer with . For all integers we prove the existence of a double covering with a smooth curve of genus and the existence of a degree morphism that does not factor through . By the Castelnuovo-Severi inequality, the result is sharp (except perhaps the bound ).
Hydrogen/deuterium exchange coupled with high-resolution mass spectrometry was successfully applied for the identification of A-type tetrameric, pentameric, and hexameric procyanidins in peanut skin. This extended a previous study on isomeric cyclic B-type unconventional tetramer, pentamer, and hexamer procyanidins found in wine and cranberries. Not only had the method successfully identified the procyanidins with a single A-linkage (e.g., tetrameric m/z 1153.2608) by means of distinguishing them from their isomeric cyclic B-type analogues, but this method also worked for procyanidins with two or more A-linkages (such as the tetrameric m/z 1151.2452). As a further consequence, B-type cyclic pentamers and hexamers in wine have been elucidated with hydrogen/deuterium exchange (HDX) for the first time.
Summary Samples of Nasicon compounds (Na super ionic conductor) with different silicon and phosphorus contents were investigated by
performing radioluminescence experiments. In all samples examined, the Frenkel pairs, originated by the displacements of sodium
ions in lacunar sites, were found to be the dominant defects. Some useful information on sodium ion mobility was obtained
from the analysis of radioluminescence spectra. 相似文献
Soluble poly(3-alkylthiophenes) can be conveniently tailored by the introduction of polar groups in the side chain with the aim of obtaining structures able to give multilayered films with the Langmuir Blodgett technique. The films, uniform in thickness, show orientation of the polyenic backbone in the dipping direction as detected by UV-visible measurements in polarised light. These materials can be conveniently used in electronic device preparation. 相似文献
A new method for the synthesis of fine catalyst powders is presented. Catalyst precursors are dissolved in an ethanol-water mixture which is burned through a nozzle-type burner. As a result, catalyst powders are formed and removed from flue gases through a filter. LaMnO3 catalysts for the catalytic combustion of methane have been prepared, characterised (TEM, XRD) and compared with a reference manfacturing method (the citrates one) showing promising, though improvable, results. This revised version was published online in August 2006 with corrections to the Cover Date. 相似文献
The differential diagnosis of epileptic seizures (ES) and psychogenic non-epileptic seizures (PNES) may be difficult, due to the lack of distinctive clinical features. The interictal electroencephalographic (EEG) signal may also be normal in patients with ES. Innovative diagnostic tools that exploit non-linear EEG analysis and deep learning (DL) could provide important support to physicians for clinical diagnosis. In this work, 18 patients with new-onset ES (12 males, 6 females) and 18 patients with video-recorded PNES (2 males, 16 females) with normal interictal EEG at visual inspection were enrolled. None of them was taking psychotropic drugs. A convolutional neural network (CNN) scheme using DL classification was designed to classify the two categories of subjects (ES vs. PNES). The proposed architecture performs an EEG time-frequency transformation and a classification step with a CNN. The CNN was able to classify the EEG recordings of subjects with ES vs. subjects with PNES with 94.4% accuracy. CNN provided high performance in the assigned binary classification when compared to standard learning algorithms (multi-layer perceptron, support vector machine, linear discriminant analysis and quadratic discriminant analysis). In order to interpret how the CNN achieved this performance, information theoretical analysis was carried out. Specifically, the permutation entropy (PE) of the feature maps was evaluated and compared in the two classes. The achieved results, although preliminary, encourage the use of these innovative techniques to support neurologists in early diagnoses. 相似文献
