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  <title>OAR@UM Collection:</title>
  <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/11480" />
  <subtitle />
  <id>https://www.um.edu.mt/library/oar/handle/123456789/11480</id>
  <updated>2026-04-27T07:37:32Z</updated>
  <dc:date>2026-04-27T07:37:32Z</dc:date>
  <entry>
    <title>Dielectric properties of biological tissue in medical applications</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/101803" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/101803</id>
    <updated>2023-03-24T06:52:48Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Dielectric properties of biological tissue in medical applications
Abstract: Accurate knowledge of the dielectric properties of organ tissues is &#xD;
useful for many medical applications. Numerous studies have been &#xD;
published characterising various tissues but large variability in literature data still exists. Also, there exist conflicting ideas as to whether &#xD;
in-vivo dielectric properties differ from those measured from ex-vivo &#xD;
samples. Additionally, there exists a lacuna in knowledge of dielectric properties characterising biological tissues above 20 GHz. In this &#xD;
work, these lingering questions were addressed by initially conducting &#xD;
a thorough validation of the open-ended coaxial probe measurement &#xD;
system together with a complete assessment of the uncertainties in &#xD;
the measurements. Following that, Ex-vivo measurements on muscle, liver and kidney were conducted and wideband dielectric models &#xD;
were derived from 500 MHz to 40 GHz. Also, the differences between &#xD;
in-vivo dielectric measurements and those measured ex-vivo are investigated by conducting in-situ measurements for up to six minutes &#xD;
after animal death. This study showed that for the frequency range &#xD;
under study (500 MHz - 40 GHz) the differences are statistically significant but still lie within the uncertainty values. Therefore, it can &#xD;
be concluded that it is possible to substitute in-vivo measurements &#xD;
with ex-vivo, given that the organ is kept well hydrated. &#xD;
Additionally, the dielectric measurement techniques for solid/semisolid materials are reviewed. In particular, the conventional reflection and &#xD;
transmission waveguide measurement techniques are presented together with various inversion algorithms. This resulted in a comprehensive library of waveguide methods which can be used for the &#xD;
characterisation of various solid materials. Following accurate implementation of these methods using experimental and numerical studies &#xD;
on standard materials, dielectric measurements on cortical bone were &#xD;
conducted. This proved to be very challenging, mainly because of &#xD;
the extensive sample preparation required to fit the material in the &#xD;
waveguide aperture. Therefore, an alternative method using open&#xD;
ended waveguide is proposed for further validation. The implementation of this method is outlined, describing the forward analytical &#xD;
solution required to solve the inverse problem.
Description: PH.D.PHYSICS</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Modelling the formation and radiative effects of secondary organic aerosols in a climate model</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/101522" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/101522</id>
    <updated>2022-09-07T09:58:35Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Modelling the formation and radiative effects of secondary organic aerosols in a climate model
Abstract: Aerosols are known to cause changes in temperature and precipitation as a result&#xD;
of their effect on radiation and cloud droplets, and hence have a strong influence on&#xD;
the climate. Organic aerosols that form via the chemical oxidation of a gaseous precursor are called Secondary Organic Aerosols (SO As). The organic nature of these&#xD;
SOAs results in very different optical properties than other aerosols. Most climate&#xD;
models do not take into account SOAs or their radiative properties, however, recent&#xD;
studies have started including small suites of SOAs in order to reduce model biases.&#xD;
The aim of this research is to include the SOAs and their radiative properties to the&#xD;
Regional Climate Model, RegCM4 model (which does not currently model SOAs)&#xD;
in order to reduce the model biases and produce more reliable climate simulations.&#xD;
To achieve this, a recent gas phase module, the CB6r2, was coupled with RegCM4&#xD;
to produce a more holistic suite of VOCs and chemical mechanisms, most notably&#xD;
ethyne, benzene, and pinene and their corresponding oxidation products. These&#xD;
gas phase products were coupled to Secondary Organic Aerosol Model (SORGAM)&#xD;
to produce the SOAs in RegCM4. The resulting aerosols were aggregated into six&#xD;
categories to reduce the size of the output and group the optical properties.&#xD;
The CB6r2 and SORGAM modules were successfully coupled with RegCM4, and&#xD;
the model now produces SOAs that interact with the radiation scheme. However,&#xD;
the current configuration of emission and chemical boundary conditions used for&#xD;
the CB6r2 do not produce a reliable chemical output. As a result of this, the SOA&#xD;
products are not yet reliable. Nevertheless, RegCM4 simulations using CB6r2, and&#xD;
the coupled CB6r2-SORGAM were run and analysed to identify methods that would&#xD;
improve the SOA simulations with RegCM4. The analysis also revealed a reduction&#xD;
in temperature and shortwave radiation over Europe when running RegCM4 with&#xD;
SORGAM, thereby showing the potential of SOA system in RegCM4.
Description: PH.D</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Regional dispersion of pollutants with special reference to Etna emissions as measured at the Giordan Lighthouse GAW station</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/100936" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/100936</id>
    <updated>2022-08-31T06:53:18Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Regional dispersion of pollutants with special reference to Etna emissions as measured at the Giordan Lighthouse GAW station
Abstract: Trace gas measurements of ozone, sulphur dioxide and nitrogen oxides together with &#xD;
meteorological parameters have been collected between 2011 and 2014 at Giordan &#xD;
Lighthouse Global Atmosphere Watch station in Gozo, Malta. Additionally, &#xD;
measurements of carbon monoxide, carbon dioxide, methane and water vapour were &#xD;
collected between 2012 and 2014. This research concentrates on the monitoring of these &#xD;
trace gases with a view to identify the origin of pollution sources and studying their &#xD;
dispersion. Ozone data gathered during this study was compared to that collected between &#xD;
1997 and 2008 to analyse long term trends. A statistically significant decreasing trend &#xD;
was in fact found for ozone from 2003 to 2014 which was preceded by a statistically &#xD;
significant increase in the period between 1997-2003. Seasonal variations were evident &#xD;
in all the trace gas measurements and their variations with wind direction were also found &#xD;
to be statistically significant. The latter variations highlighted the effect of natural &#xD;
emissions from Etna, as well as local anthropogenic emissions from the main island of &#xD;
Malta as well as ship emissions in the Malta-Sicily channel. &#xD;
Etna' s volcanic eruptions were found to be one of the main natural sources of pollution &#xD;
affecting the Maltese Islands. Research was carried out to gather information about Etna's &#xD;
eruptions which involved the Maltese Islands, starting with historical eruptions dating &#xD;
back to the 14th century to more recent ones. The dispersion of Etna's ash plume was &#xD;
modelled using PUFF, which provided tephra deposit load and ash concentrations. Three &#xD;
different eruptive scenarios that characterize Etna's recent activity were considered; the &#xD;
first scenario representing the 2001 eruption (Sc1), the second scenario representing the &#xD;
July 1998 eruption (Sc2) whilst the third scenario represents the recent activity from 2011 &#xD;
onwards (Sc3). It was found that the time taken for the volcanic ash plume to reach the &#xD;
Maltese Islands when the wind direction is toward the Southwest ranges from 4 to 8 hours. &#xD;
The effect of wind speed and direction was also studied and it emerged that the probability &#xD;
that an Etna volcanic plume reaches Malta during an eruption is around 13% per annum. &#xD;
The now calibrated model produces daily forecasts of deposit load and cumulative area &#xD;
of volcanic ash dispersal. This allows for provision of adequate alerts to civil aviation &#xD;
authorities and Malta airport which is of direct use to local communities and aviation. &#xD;
Insights into the high levels of sulphur dioxide measured at Giordan Lighthouse were also &#xD;
explored by evaluating the potential effect of Etna's volcanic SO2 plume. Investigation &#xD;
was carried out by examining relationships between SO2 concentrations gathered at &#xD;
Giordan Lighthouse and those measured at Etna by the ultraviolet scanning spectrometer &#xD;
network FLAME (FLux Automatic Measurements) of the Istituto Nazionale di Geofisica &#xD;
e Vulcanologia, Osservatorio Etneo (INGV-OE) between 2011 and 2013. Seventy case &#xD;
studies with anomalous S02 peaks observed in Gozo were inspected by evaluating the &#xD;
strength of association between Giordan Lighthouse and INGV-OE records using &#xD;
statistical analysis. Statistically significant correlation was found in 40 of these cases. &#xD;
Results show for the first time the impact of Etna's volcanic S02 plume on the island of &#xD;
Malta and its potential effects on the local environment. &#xD;
On the other hand, shipping in the Malta-Sicily channel was found to be a great source of &#xD;
anthropogenic emissions affecting the Maltese Islands. This channel is a very busy route, &#xD;
and thus an Automatic Identification System (AIS) receiver was installed to be able to &#xD;
gather information on the geographic distribution of maritime traffic and its activities. A &#xD;
database was developed to store this information which was used to come up with two &#xD;
methods of measuring ship's traffic near the Maltese Islands between 2012 and 2014. One &#xD;
procedure involves taking hourly counts of the number and type of vessels and averaging &#xD;
them on a daily basis. The other method entails the comparison of vessels present in a &#xD;
narrow strip between Malta and Sicily on a daily basis, to come up with a yearly average &#xD;
number of vessels crossing the channel. The first method resulted in an average of 256 &#xD;
vessels present at any point in time in the area surrounding the Maltese Islands, with the &#xD;
highest values observed during summer with an average peak in July of 356 vessels. The &#xD;
second method showed that an average of 40,000 vessels cross the Malta-Sicily channel &#xD;
annually. These figures, although high, only quantify a portion of the entire situation, &#xD;
since they are based on data gathered by one AIS antenna, and thus coverage was limited. &#xD;
The majority of vessels were found to be cargo vessels in both methods. Additionally, &#xD;
through a collaborative agreement, the AIS data for the year 2012 was inputted into the &#xD;
Ship Traffic Emission Model (STEAM), developed by the Finnish Meteorological &#xD;
Institute to give results of oxides of sulphur and nitrogen as well as carbon dioxide &#xD;
emissions. This was the first time that the STEAM model was used in the Mediterranean &#xD;
and that such a study related to shipping activities near the Maltese Islands was carried &#xD;
out.
Description: PH.D.PHYSICS</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Controlling stochastic currency risk exposure optimally</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/93898" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/93898</id>
    <updated>2022-04-18T09:00:50Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: Controlling stochastic currency risk exposure optimally
Abstract: Investors operating in countries adopting different currencies face an additional risk&#xD;
in the form of currency exchange rates. This thesis aims at deriving the optimal&#xD;
hedging strategy for such investors through the use of futures and forwards. Having&#xD;
described the processes underlying the economic framework which affect the investor,&#xD;
the theory of stochastic optimal control will be used to formulate and solve this&#xD;
the problem mathematically. As an attempt to solve the problem analytically, the&#xD;
dynamic programming approach will first be employed. However, since the resulting&#xD;
Hamilton-Jacobi-Bellman equation involves a highly non-linear second order partial&#xD;
differential equation, such a solution is hard to obtain in closed form and so we&#xD;
resort to numerical techniques. To this end we shall employ the Markov chain&#xD;
approximation method, in which a sequence of optimal stochastic control problems&#xD;
for Markov chains will be solved via the dynamic programming approach. The&#xD;
latter will lead to a sequence of functional equations, which have to be solved for&#xD;
the approximating value function. An approximate solution to these functional&#xD;
equations will then be obtained numerically via the Implicit method which, provided&#xD;
the approximating Markov chains are locally consistent, converges to the original&#xD;
controlled stochastic integral equation. Furthermore under this local consistency,&#xD;
the solutions to the functional equations are also known to converge to the value&#xD;
function of the original stochastic optimal control problem.
Description: B.SC.(HONS)STATS.&amp;OP.RESEARCH</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
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