1,721,084 research outputs found
Analysis and synthesis of rainfall time series using disdrometer data
No full textHydrometeorological and radio propagation applications
can benefit from the capability to model the time evolution of
raindrop size distribution (RSD). A new stochastic vector autoregressive
semi-Markov model is proposed to randomly synthesize
(generate) the temporal series of the three driving parameters of
a normalized Gamma RSD. Rainfall intermittence is reproduced
through a discrete semi-Markov process, modeled from disdrometer
measurements using two-state analytical statistics of rain and
dry period duration. The overall model is set up by means of a
large set of disdrometer measurements, collected from 2003 to
2005 at Chilbolton, U.K. The driving parameters of the retrieved
RSD are estimated using three approaches: the Gamma moment
method and the 1-D and 3-D maximum-likelihood methods. Interestingly,
these methodologies lead to quite different results,
particularly when one is interested in evaluating RSD higher order
moments such as the rain rate. The accuracy of the proposed RSD
time-series generation technique is evaluated against available
disdrometer measurements, providing excellent statistical scores
Investigation of millimeter-wave channels for deep-space scientific data transmission using radiopropagation and weather forecast models
No full textDeep space exploration is aimed at acquiring information about the solar system. In this scenario, telecommunications links between Earth ground receiving stations and extra-terrestrial satellite platforms have to be designed in order to ensure the optimal transfer of the acquired scientific data back to the Earth. A significant communication capacity has to be planned when very large distances, as those characterising deep space links, are involved thus fostering more ambitious scientific mission requirements. At the current state of the art, two microwave channel frequencies are used to perform the deep space data transfer: X band (~ 8.4 GHz) and Ka band (~ 32 GHz) channel. Ka-band transmission can offer an advantage over X-band in terms of antenna performance with the same antenna effective area and an available data transfer bandwidth (50 times higher at Ka band than X band). However, Earth troposphere-related impairments can affects the space-to-Earth carrier signals at frequencies higher than 10 GHz by degrading its integrity and thus reducing the deep space channel temporal availability. Such atmospheric impairments, especially in terms of path attenuation, their statistic and the possibility to forecast them in the next 24H at the Earth's receiving station would allow a more accurate design of the deep space link, promoting the mitigation of the detrimental effects on the link availability. To pursue this aim, meteorological forecast models and in situ measurements need to be considered in order to characterise the troposphere in terms of signal path attenuation at current and future time. In this work, we want to show how the synergistic use of meteorological forecasts, radiative transfer simulations and in situ measurements such as microwave radiometry observations, rain gauges and radiosoundings, can aid the optimisation of a deep space link at Ka band and improve its performance with respect to usual practices. The outcomes of the study are in the framework of the Radio-Meteorological Operations Planner (RMOP) project promoted by ESA for supporting the BepiColombo mission to Mercury. More in detail, the methodology used in this work foresees the use of Fifth-Generation Penn State/NCAR Mesoscale Model (MM5) coupled with an Eddington-like radiative transfer model in order to convert the forecasted meteorological variables into radio-propagation parameters. Thus, in-situ observations from microwave radiometers are used to validate the weather forecasts in terms of integrated water paths in clear sky whereas radiosoundings and rain gauges will provide a reference for temperature and rain accumulations, respectively. Eventually, the final results will be shown in terms of improvements in the transferred data volume when the RMOP chain is implemented
Editorial Comment to Castration-resistant prostate cancer diagnosed during leuprorelin treatment for spinal and bulbar muscular atrophy
Full text linkThe bladder epicheck test as a non-invasive tool based on the identification of DNA methylation in bladder cancer cells in the urine: A review of published evidence
Full text linkRecently, there has been a great effort to develop tests based on non-invasive urinary biomarkers (NMIBCs). These tests are based on the fact that NMIBCs are heterogeneous at the molecular level and can be divided into different molecular groups useful to predict prognosis and response to treatment. The assessment of epigenetic alterations, such as DNA methylation, represents a promising cancer biomarker. DNA methylation is an epigenetic modification that affects gene expression without modifying the DNA sequence. Several studies have highlighted the presence of methylated loci in the context of bladder cancer, indicating its potential application as a diagnostic and prognostic biomarker. One of the novel assays based on a DNA methylation profile, the Bladder EpiCheck, analyzes DNA from spontaneous urine, detecting disease-specific DNA methylation patterns in bladder cancer patients. This test, due to its non-invasive nature and highly promising performance could, in future, become an invaluable tool in the follow-up of bladder cancer patients. Potential new applications could include diagnosis and surveillance of upper-tract disease, for the replacement of invasive testing and ureteroscopy
Natural compounds as possible modulators of lipid metabolism in cisplatin-resistant cancer cells
No full textReply to the Letter to the Editor “Androgen deprivation therapy may constitute a more effective prophylactic than therapeutic strategy in COVID-19 patients” by N. Bennani and I. M. Bennani-Baiti
No full textQuercetin and Cisplatin combined treatment alter cell cycle and sensitize resistant cancer cell lines
No full textThe good and the bad of cupping therapy: Case report and review of the literature
No full textCupping therapy (CT) represents a cornerstone of traditional Chinese and Persian medicine, but it has its roots in the history of therapy. Although its exact mechanisms of action have been not fully understood, it is widely used as an alternative or complementary treatment of a broad spectrum of diseases, mainly musculoskeletal pain and muscular tension. Some practitioners use CT to cure dermatoses, but the most common adverse events occur at the skin level. We describe a case and briefly review the related literature
Natural polyphenols chemosensitize cisplatin-resistant cells through cell cycle modulation
No full textMetabolic reprogramming in triple negative breast cancer cells: role of glutamine and glucose in cisplatin resistance
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