2,523 research outputs found
On the astronomical origin of the Hallstatt oscillation found in radiocarbon and climate records throughout the Holocene
An oscillation with a period of about 2100-2500 years, the Hallstatt cycle,
is found in cosmogenic radioisotopes (C-14 and Be-10) and in paleoclimate
records throughout the Holocene. Herein we demonstrate the astronomical origin
of this cycle. Namely, this oscillation is coherent to the major stable
resonance involving the four Jovian planets - Jupiter, Saturn, Uranus and
Neptune - whose period is p=2318 yr. The Hallstatt cycle could derive from the
rhythmic variation of the circularity of the solar system disk assuming that
this dynamics could eventually modulate the solar wind and, consequently, the
incoming cosmic ray flux and/or the interplanetary/cosmic dust concentration
around the Earth-Moon system. The orbit of the planetary mass center (PMC)
relative to the Sun is used as a proxy. We analyzed how the instantaneous
eccentricity vector of this virtual orbit varies from 13,000 B. C. to 17,000 A.
D.. We found that it undergoes kind of pulsations as it clearly presents
rhythmic contraction and expansion patterns with a 2318 yr period together with
a number of already known faster oscillations associated to the planetary
orbital stable resonances. We found that a fast expansion of the Sun-PMC orbit
followed by a slow contraction appears to prevent cosmic rays to enter within
the system inner region while a slow expansion followed by a fast contraction
favors it. Similarly, the same dynamics could modulate the amount of
interplanetary/cosmic dust falling on Earth. These would then cause both the
radionucleotide production and climate change by means of a cloud/albedo
modulation. Other stable orbital resonance frequencies (e.g. at periods of 20
yr, 45 yr, 60 yr, 85 yr, 159-171-185 yr, etc.) are found in radionucleotide,
solar, aurora and climate records, as determined in the scientific literature.
Thus, the result supports a planetary theory of solar and/or climate variation.Comment: 36 pages, 14 figures, 1 tabl
Building deformation assessment by means of Persistent Scatterer Interferometry analysis on a landslide-affected area: the Volterra (Italy) case study
In recent years, space-borne InSAR (interferometric synthetic aperture radar) techniques have shown their capabilities to provide precise measurements of Earth surface displacements for monitoring natural processes. Landslides threaten human lives and structures, especially in urbanized areas, where the density of elements at risk sensitive to ground movements is high. The methodology described in this paper aims at detecting terrain motions and building deformations at the local scale, by means of satellite radar data combined with in situ validation campaigns. The proposed approach consists of deriving maximum settlement directions of the investigated buildings from displacement data revealed by radar measurements and then in the cross-comparison of these values with background geological data, constructive features and on-field evidence. This validation permits better understanding whether or not the detected movements correspond to visible and effective damages to buildings. The method has been applied to the southwestern sector of Volterra (Tuscany region, Italy), which is a landslide-affected and partially urbanized area, through the use of COSMO-SkyMed satellite images as input data. Moreover, we discuss issues and possible misinterpretations when dealing with PSI (Persistent Scatterer Interferometry) data referring to single manufactures and the consequent difficulty of attributing the motion rate to ground displacements, rather than to structural failures
New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis
: Several studies have shown that in recent years incidence of acute otitis media (AOM) has declined worldwide. However, related medical, social, and economic problems for patients, their families, and society remain very high. Better knowledge of potential risk factors for AOM development and more effective preventive interventions, particularly in AOM-prone children, can further reduce disease incidence. However, a more accurate AOM diagnosis seems essential to achieve this goal. Diagnostic uncertainty is common, and to avoid risks related to a disease caused mainly by bacteria, several children without AOM are treated with antibiotics and followed as true AOM cases. The main objective of this manuscript is to discuss the most common difficulties that presently limit accurate AOM diagnosis and the new approaches and technologies that have been proposed to improve disease detection. We showed that misdiagnosis can be dangerous or lead to relevant therapeutic mistakes. The need to improve AOM diagnosis has allowed the identification of a long list of technologies to visualize and evaluate the tympanic membrane and to assess middle-ear effusion. Most of the new instruments, including light field otoscopy, optical coherence tomography, low-coherence interferometry, and Raman spectroscopy, are far from being introduced in clinical practice. Video-otoscopy can be effective, especially when it is used in association with telemedicine, parents' cooperation, and artificial intelligence. Introduction of otologic telemedicine and use of artificial intelligence among pediatricians and ENT specialists must be strongly promoted in order to reduce mistakes in AOM diagnosis
Complete resolution of non-necrotizing lung granuloma and pyoderma gangrenosum after restorative proctocolectomy in a woman with severe ulcerative colitis and cytomegalovirus infection
Here, we report the unusual case of an ulcerative colitis female patient presenting together with cytomegalovirus infection, pyoderma gangrenosum and a noncaseating lung granuloma, both resistant to immunomodulatory drugs which dramatically obtained a clinical stable remission after restorative proctocolectomy
Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings
In Italy, three different operational continuous monitoring experiences based on the exploitation of Multi Temporal Synthetic Aperture Radar data (MTInSAR) Sentinel-1 data are here depicted, and the results obtained in one year have been analysed. Tuscany region (Central Italy) has been the first region to implement such service, followed by Valle d'Aosta and Veneto regions (North-West and North-East Italy, respectively). In detail, the services benefit from regularly updated deformation maps (every 12 days) to promptly detect anomalies of deformation, i.e., trend variations in the time series of displacement. In this work, anomalies detected between September 2019 and September 2020 are thus correlated with several types of factors, either related to the environment, intrinsic of the data or derived from ancillary data. A statistical analysis has been performed on the three regions, and are discretized into five macro-areas, namely: i) spatial and temporal statistics, related to the geographic setting and the temporal distribution of the anomalies; ii) parametric, i.e., related to the interferometric processing; iii) triggering factors; iv) environmental and geological factors; v) urban setting. The results derived from the analysis of this work show the obvious differences between the three regions, highlighting distinct distributions of the anomalies according to the different settings of each study area. Furthermore, results were analyzed, to provide a summary of the main findings obtained, giving a first evaluation of the services and hypothesizing future further improvements and applications. © 2021The authors gratefully acknowledge TRE ALTAMIRA for having processed the S-1 data
The Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal
AbstractThe Italian vessel Costa Concordia wrecked on January 13th 2012 offshore the Giglio Island (Tuscany, Italy), with the loss of 32 lives. Salvage operation of the vessel started immediately after the wreck. This operation was the largest and most expensive maritime salvage ever attempted on a wrecked ship and it ended in July 2014 when the Costa Concordia was removed from the Giglio Island, and dragged in the port of Genoa where it was dismantled. The refloating and removal phases of the Costa Concordia were monitored, in the period between 14th and 27th of July, exploiting SAR (Synthetic Aperture Radar) images acquired by the X-band COSMO-SkyMed satellite constellation in crisis mode. The main targets of the monitoring system were: (i) the detection of possible spill of pollutant material from the vessel and (ii) to exclude that oil slicks, illegally produced by other vessels, could be improperly linked to the naval convoy during its transit along the route between the Giglio Island and the port of Genoa. Results point out that the adopted monitoring system, through the use of the COSMO-SkyMed constellation, can be profitably employed to monitor emergency phases related to single ship or naval convoy over wide areas and with a suitable temporal coverage. Furthermore, the refloating and removal phases of the Costa Concordia were a success because no pollution was produced during the operations
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