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1.
Environ Monit Assess ; 190(4): 216, 2018 Mar 14.
Article in English | MEDLINE | ID: mdl-29541864

ABSTRACT

Multivariate analysis was performed on a large data set of groundwater and leachate samples collected during 9 years of operation of the Bellolampo municipal solid waste landfill (located above Palermo, Italy). The aim was to obtain the most likely correlations among the data. The analysis results are presented. Groundwater samples were collected in the period 2004-2013, whereas the leachate analysis refers to the period 2006-2013. For groundwater, statistical data evaluation revealed notable differences among the samples taken from the numerous wells located around the landfill. Characteristic parameters revealed by principal component analysis (PCA) were more deeply investigated, and corresponding thematic maps were drawn. The composition of the leachate was also thoroughly investigated. Several chemical macro-descriptors were calculated, and the results are presented. A comparison of PCA results for the leachate and groundwater data clearly reveals that the groundwater's main components substantially differ from those of the leachate. This outcome strongly suggests excluding leachate permeation through the multiple landfill lining.


Subject(s)
Environmental Monitoring/methods , Environmental Pollution/statistics & numerical data , Refuse Disposal/methods , Waste Disposal Facilities , Environment , Groundwater/chemistry , Italy , Multivariate Analysis , Refuse Disposal/statistics & numerical data , Solid Waste/analysis , Water Pollutants, Chemical/analysis
2.
Bioresour Technol ; 177: 80-6, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25479397

ABSTRACT

A bench-scale MBR unit was operated, under stressing condition, with the aim of stimulating the onset of foaming in the activated sludge. Possible synergies between synthetic surfactants in the wastewater and biological surfactants (Extra-Cellular Polymeric Substances, EPSs) were investigated by changing C/N ratio. The growth of filamentous bacteria was also discussed. The MBR unit provided satisfactory overall carbon removal overall efficiencies: in particular, synthetic surfactants were removed with efficiency higher than 90% and 95% for non-ionic and ionic surfactants, respectively. Lab investigation suggested also the importance to reduce synthetic surfactants presence entering into mixed liquor: otherwise, their presence can significantly worsen the natural foaming caused by biological surfactants (EPSs) produced by bacteria. Finally, a new analytic method based on "ink test" has been proposed as a useful tool to achieve a valuation of EPSs bound fraction.


Subject(s)
Bioreactors , Membranes, Artificial , Sewage/chemistry , Surface-Active Agents/pharmacology , Bacteria/drug effects , Bacteria/metabolism , Biological Oxygen Demand Analysis , Biopolymers/chemistry , Microscopy , Viscosity
3.
Med Secoli ; 21(2): 631-61, 2009.
Article in Italian | MEDLINE | ID: mdl-20695403

ABSTRACT

The article discusses the main aspects of the onirical theraphy in Greek theurgical medicine, practised, as well known, in Asklepius' temples all over Greek territories. Iamata, written sources and chronicles furnish reliable testimonies of activities performed in the sacred structures, most of which concerning the reading and interpretations of dreams. A privileged witness of these practices is Aelius Aristides, in the Ieroi Logoi describing the particular link connecting his psychological and metaphorical diseases to the divine power of Asklepius, revealing his healing terrific capacities mainly through therapeutic dreams.


Subject(s)
Dreams , History of Medicine , Greece, Ancient , History, Ancient
4.
ASAIO J ; 54(6): 563-73, 2008.
Article in English | MEDLINE | ID: mdl-19033767

ABSTRACT

This article describes an elastance-based mock ventricle able to reproduce the correct ventricular pressure-volume relationship and its correct interaction with the hydraulic circuit connected to it. A real-time control of the mock ventricle was obtained by a new left ventricular mathematical model including resistive and inductive terms added to the classical Suga-Sagawa elastance model throughout the whole cardiac cycle. A valved piston pump was used to mimic the left ventricle. The pressure measured into the pump chamber was fed back into the mathematical model and the calculated reference left ventricular volume was used to drive the piston. Results show that the classical model is very sensitive to pressure disturbances, especially during the filling phase, while the modified model is able to filter out the oscillations thus eliminating their detrimental effects. The presented model is thus suitable to control mock ventricles in real-time, where sudden pressure disturbances represent a key issue and are not negligible. This real-time controlled mock ventricle is able to reproduce the elastance mechanism of a natural ventricle by mimicking its preload (mean atrial pressure) and afterload (mean aortic pressure) sensitivity, i.e., the Starling law. Therefore, it can be used for designing and testing cardiovascular prostheses due to its capability to reproduce the correct ventricle-vascular system interaction.


Subject(s)
Heart-Assist Devices , Models, Cardiovascular , Models, Theoretical , Algorithms , Blood Circulation/physiology , Elasticity
5.
Conf Proc IEEE Eng Med Biol Soc ; 2004: 3642-5, 2004.
Article in English | MEDLINE | ID: mdl-17271082

ABSTRACT

In this paper a method for estimating maximum ventricular elastance through an extended Kalman filter is proposed, based on measurement of ventricular volume and aortic pressure. The Kalman filter is particularly well suited to this task, since it produces an optimal estimate (in the sense that the error is statistically minimized) given noise corrupted data. The EKF model is derived from an electrical-analog model of the left ventricle and systemic load. An observability study was a priori conducted on the model, restricted to the ejection phase, to validate the estimation procedure. The method has been evaluated with simulated data and produced good results (the estimate error was 7.14%).

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