Sampling plans for the estimation of moment-independent importance measures

AbstractThe numerical and computational aspects underlying the approximation of moment independent sensitivity measures are discussed. Sampling plans based on column substitution and column permutations are evaluated and compared for both analytical test cases and a practical application. The influence of the sampling strategy (simple random, latin hypercube or quasi-random sequences) is investigated

A trip in voice phytotheraphy: TRPA1 ion channel as a target for bioactive compounds in herbal remedies for voice care

Voice is the sound we produce to communicate meanings and ideas and has a capital importance in human social development. Herbs have been used for voice care since ancient times and many herbal remedies are still in use, both as folk medicine and as sources of botanicals used in commercial products. In Europe Sisymbrium officinale (L.) Scop (the "singers'plant\u201d) is the most popular herbal remedy for voice care, but many other plants are employed in phytopreparations. The mechanisms of action of these botanicals include anti-bacterial, anti-inflammatory, mucolytic, antinociceptive and other general activities; nevertheless, mechanisms that could be specifically referred to voice are often unknown. We collected information on plants used worldwide for voice care; the plants have been organized in a database (Herbs for Voice Database) and classified according to the bioactive compounds, their molecular targets and the pathologies they are recommended for. The data were analyzed with the aim to identify some possible common mechanism of action and the molecular targets involved. The analysis of data shows that an important pathway involves the somatosensory TRPA1 (Transient Receptor Potential Ankyrin type 1) ion channel, a well-known mediator of irritation, inflammatory and neurogenic pain. Agonists of this ion channel have been identified in 27 over 44 plants, corresponding to 61,3% of the plants in the database. Also TRPM8 (Transient Receptor Potential Melastatin type 8), involved in the perception of coolness, was identified among the molecular targets. This finding reinforces the hypothesis that these somatosensory ion channels could be involved in relevant mechanisms of action of these traditional remedies and open new perspectives in the rational study of voice phytopharmacology and therapy. This research was funded by FONDAZIONE CARIPLO (Milano, I), University of Milano (I) and Conservatorio di Musica G. Verdi (Milano, I), grant number 2017-1653

Herbs for voice database : developing a rational approach to the study of herbal remedies used in voice care

Herbs have been used for voice care since ancient times and many herbal remedies are still in use in every geographical areas and cultures, both as traditional medicine and as sources of botanicals used in commercial products. Many of these plants are used as extracts and other phytopreparates, and a full phytochemical analysis is sometimes incomplete or lacking. The mechanisms of action of these botanicals include antibacterial, antiinflammatory, mucolytic, and other general activities; nevertheless, mechanisms that could be specifically referred to voice are often unknown, as well as the corresponding molecular targets and therefore a rational approach in the use of these remedies is hard to be applied by phoniatricians. To address this problem, we collected information on plants used for voice care from several different geographical areas, using both literature data and a pool of contributors from an international network of artistic phoniatrics and vocologists. The plants have been organized in a database (Herbs for Voice Database) and classified according to the natural compounds contained in them, their molecular targets and the pathologies they are recommended for. This first database contains 44 plants, 101 phytocompounds, and 32 recognized molecular targets. The distribution of herbs and phytocompounds according to the botanical families, their known biological activity, traditional uses, and molecular targets were analyzed. In particular, data analysis shows that the somatosensory and pain receptor Transient Receptor Potential Ankyrin 1 ion channel is targeted by a large number of different phytochemicals contained in the herbs for voice, and could therefore be involved in a mechanism of action common to many plants

Autocorrelation analysis of GRBM–Beppo-SAX burst data

An autocorrelation function (ACF) analysis was performed on 17 gamma-ray bursts with known redshift, using data from the GRBM on board Beppo-SAX. When corrected from the cosmic time dilation effect, the ACFs show a bimodal distribution at about half-maximum, in agreement with a previous study based on BATSE and Konus burst data. Although the results show more dispersion, the separation between the two classes is highly significant

Effects of temperature on flood forecasting: analysis of an operative case study in Alpine basins

Abstract. In recent years the interest in the forecast and prevention of natural hazards related to hydro-meteorological events has increased the challenge for numerical weather modelling, in particular for limited area models, to improve the quantitative precipitation forecasts (QPF) for hydrological purposes. After the encouraging results obtained in the MAP D-PHASE Project, we decided to devote further analyses to show recent improvements in the operational use of hydro-meteorological chains, and above all to better investigate the key role played by temperature during snowy precipitation. In this study we present a reanalysis simulation of one meteorological event, which occurred in November 2008 in the Piedmont Region. The attention is focused on the key role of air temperature, which is a crucial feature in determining the partitioning of precipitation in solid and liquid phase, influencing the quantitative discharge forecast (QDF) into the Alpine region. This is linked to the basin ipsographic curve and therefore by the total contributing area related to the snow line of the event. In order to assess hydrological predictions affected by meteorological forcing, a sensitivity analysis of the model output was carried out to evaluate different simulation scenarios, considering the forecast effects which can radically modify the discharge forecast. Results show how in real-time systems hydrological forecasters have to consider also the temperature uncertainty in forecasts in order to better understand the snow dynamics and its effect on runoff during a meteorological warning with a crucial snow line over the basin. The hydrological ensemble forecasts are based on the 16 members of the meteorological ensemble system COSMO-LEPS (developed by ARPA-SIMC) based on the non-hydrostatic model COSMO, while the hydrological model used to generate the runoff simulations is the rainfall–runoff distributed FEST-WB model, developed at Politecnico di Milano

Sensitivity of projected long-term CO 2 emissions across the Shared Socioeconomic Pathways

Scenarios showing future greenhouse gas emissions are needed to estimate climate impacts and the mitigation efforts required for climate stabilization. Recently, the Shared Socioeconomic Pathways (SSPs) have been introduced to describe alternative social, economic and technical narratives, spanning a wide range of plausible futures in terms of challenges to mitigation and adaptation. Thus far the key drivers of the uncertainty in emissions projections have not been robustly disentangled. Here we assess the sensitivities of future CO 2 emissions to key drivers characterizing the SSPs. We use six state-of-the-art integrated assessment models with different structural characteristics, and study the impact of five families of parameters, related to population, income, energy efficiency, fossil fuel availability, and low-carbon energy technology development. A recently developed sensitivity analysis algorithm allows us to parsimoniously compute both the direct and interaction effects of each of these drivers on cumulative emissions. The study reveals that the SSP assumptions about energy intensity and economic growth are the most important determinants of future CO 2 emissions from energy combustion, both with and without a climate policy. Interaction terms between parameters are shown to be important determinants of the total sensitivities

On the temporal variability classes found in long gamma-ray bursts with known redshift

Based on the analysis of a small sample of BATSE and Konus gamma-ray bursts (GRBs) with know redshift it has been reported that the width of the autocorrelation function (ACF) shows a remarkable bimodal distribution in the rest-frame of the source. However, the origin of these two well-separated ACF classes remains unexplained.We complement previous ACF analysis studying the corresponding power density spectra (PDS). With the addition of Beppo-SAX data and taken advantage of its broad-band capability, we not only increase the burst sample but we extend the analysis to X-ray energies. The rest-frame PDS analysis at gamma-ray energies shows that the two ACF classes are not simply characterised by a different low frequency cut-off, but they have a distinct variability as a whole in the studied frequency range. Both classes exhibit average PDS with power-law behaviour at high frequencies (f' > 0.1 Hz) but significantly different slopes, with index values close to those of Brownian (-2) and Kolmogorov (-5/3) spectra for the narrow and broad classes respectively. The latter spectrum presents an additional PDS component, a low-frequency noise excess with a sharp cut-off. At X-ray energies we find the power-law index unchanged for the broad class, but a significantly steeper slope in the narrow case (~ -3). We interpret this as an indication that the broad class bursts have weaker spectral evolution than the narrow ones, as suggested also by our analysis of the ACF energy dependence. The low and high frequency PDS components may then arise from two radiating regions involving different emission mechanisms.Comment: 13 pages, 10 figures. Accepted for publication in A&

Application of an early warning to detect enteropathies in intensive broiler farming

Remote and wearable sensors can be combined with smart algorithms to continuously monitor a wide range of animal responses linked with stress, health status and welfare. The idea of real time monitoring assumes a simple way to measure variable that can give an early warning for the farmer providing clear and suitable alerts to help them in their routine. The prompt reaction to any change in health, welfare and productive status is the key for the reduction in drugs usage and for the improvement of animal wellbeing. In intensive poultry farms, enteric disorders represent a major health issue; these pathologies could be multifactorial and are a major cause of performances reduction. Monitoring poultry health status takes a key role for management to reduce chemicals/drugs and their costs. Nowadays, the preventive use of antibiotics in intensive farming system is common and this practice could lead to the spreading of drugs in the environment, contributing to the phenomenon of antibiotic resistance. Due to the high priority of this issue, it is of great importance the early detection of any health problem in intensive farming. Precision Livestock Farming, through the combination of cheap technologies and specific algorithms, can provide valuable information for farmers starting from the huge amount of data collected in real time at farm level. This study was aimed to the application of a PLF diagnostic tool, sensible to the variation of volatile organic compounds, to promptly recognize enteric problems in intensive farming, supporting veterinarians and enabling specific treatments in case of disease

Digital device in postextraction implantology : a clinical case presentation

Aim. The aim of this work is to describe a case of immediate implant placement after extraction of the upper right first premolar, with the use of CAD/CAM technology, which allows an early digital impression of the implant site with an intraoral scanner (MHT 3D Progress, Verona, Italy). Case Report. A 46-year-old female was referred with a disorder caused by continuous debonding of the prosthetic crown on the upper right first premolar. Clinically, there were no signs, and the evaluation of the periapical radiograph showed a fracture of the root, with a mesial well-defined lesion of the hard tissue of the upper right first premolar, as the radiolucent area affected the root surface of the tooth. It was decided, in accordance with the patient, that the tooth would be extracted and the implant (Primer, Edierre implant system, Genoa, Italy) with diameter of 4.2mm and length of 13mm would be inserted. After the insertion of the implant, it was screwed to the scan abutment, and a scan was taken using an intraoral scanner (MHT 3D Progress, Verona, Italy). The scanned images were processed with CAD/CAM software (Exocad DentalCAD, Darmstadt, Germany) and the temporary crown was digitally drawn (Dental Knowledge, Milan, Italy) and then sent to the milling machine for production with a composite monoblock. After 4 months, when the implant was osteointegrated, it was not necessary to take another dental impression, and the definitive crown could be screwed in. Conclusion. The CAD/CAM technology is especially helpful in postextraction implant for aesthetic rehabilitation, as it is possible to immediately fix a provisional crown with an anatomic shape that allows an optimal healing process of the tissues. Moreover, the removal of healing abutments, and the use of impression copings, impression materials, and dental stone became unnecessary, enabling the reduction of the chair time, component cost, and patient's discomfort. However, it is still necessary for scientific research to continue to carry out studies on this procedure, in order to improve the accuracy, the reliability, and the reproducibility of the results