Soil and sediment analyses of Lake La Thuile (Bauges, France)

Data used in the study of the evolution of soils of Lake La Thuile catchment, in relation with the long sediment sequence of the lake. Data of pH, Loss On Ignition, Oxygen and Hydrogen Index (Rock-eval analyses) and mineral geochemistry (Portative XRF, Al2O3/TiO2 and K2O/TiO2 ratios) are available for each soil horizons that have been studied in the catchment. For sediments, data of Oxygen and Hydrogen Index (Rock-eval analyses), mineral geochemistry (Portative XRF, Al2O3/TiO2 and K2O/TiO2 ratios), erosion, soil evolution modelization and the ages are available according to depth.

Territorial and demographic aspects of the Networks of Protected Natural Areas of Castilla-La Mancha: 1978-2014

The Autonomous Region of Castilla-La Mancha develops from the approval of the Spanish Constitution a whole executive and legislative branch to implement its policies on environmental protection. The new legislation (Law 9/1999, of 26 May) has pursued the conservation and the integral protection of the natural elements of the territory demanding to new criteria as such the environmental quality of ecosystems or the exceptional landscape. The spread and the declaration of new natural spaces have caused a double geographical and territorial model. First, natural spaces located in rural mountainous areas with depopulation and aging problems. And second, natural spaces situated in areas densely populated

Swift Heavy Ion Irradiation and Thermal Annealing Induced Modification of Structural, Topographical and Magnetic Properties in Monolayer and Bilayer Films Based on FeNiMoB and Zinc Ferrite

Magnetism and magnetic materials have been playing a lead role in the day to day life of human beings. The human kind owes its gratitude to the ‘lodestone’ meaning ‘leading stone’ which lead to the discovery of nations and the onset of modern civilizations. If it was William Gilbert, who first stated that ‘earth was a giant magnet’, then it was the turn of Faraday who correlated electricity and magnetism. Magnetic materials find innumerable applications in the form of inductors, read and write heads, motors, storage devices, magnetic resonance imaging and fusion reactors. Now the industry of magnetic materials has almost surpassed the semiconductor industry and this speaks volumes about its importance. Extensive research is being carried out by scientists and engineers to remove obsolescence and invent new devices. Though magnetism can be categorized based on the response of an applied magnetic field in to diamagnetic, paramagnetic, ferromagnetic, ferrimagnetic and antiferromagnetic; it is ferrimagnetic, ferromagnetic and antiferromagnetic materials which have potential applications. The present thesis focusses on these materials, their composite structures and different ways and means to modify their properties for useful applications. In the past, metals like Fe, Ni and Co were sought after for various applications though iron was in the forefront because of its cost effectiveness and abundance. Later, alloys based on Fe and Ni were increasingly employed. They were used in magnetic heads and in inductors. Ferrites entered the arena and subsequently most of the newer applications were based on ferrites, a ferrimagnetic material, whose composition can be tuned to tailor the magnetic properties. In the late 1950s a new class of magnetic material emerged on the magnetic horizon and they were fondly known as metallic glasses. They are well known for their soft magnetic properties. They were synthesized in the form of melt spun ribbons and are amorphous in nature and they are projected to replace the crystalline counterparts.

Swift Heavy Ion Irradiation and Thermal Annealing Induced Modification of Structural, Topographical and Magnetic Properties in Monolayer and Bilayer Films Based on FeNiMoB and Zinc Ferrite

Magnetism and magnetic materials have been playing a lead role in the day to day life of human beings. The human kind owes its gratitude to the ‘lodestone’ meaning ‘leading stone’ which lead to the discovery of nations and the onset of modern civilizations. If it was William Gilbert, who first stated that ‘earth was a giant magnet’, then it was the turn of Faraday who correlated electricity and magnetism. Magnetic materials find innumerable applications in the form of inductors, read and write heads, motors, storage devices, magnetic resonance imaging and fusion reactors. Now the industry of magnetic materials has almost surpassed the semiconductor industry and this speaks volumes about its importance. Extensive research is being carried out by scientists and engineers to remove obsolescence and invent new devices. Though magnetism can be categorized based on the response of an applied magnetic field in to diamagnetic, paramagnetic, ferromagnetic, ferrimagnetic and antiferromagnetic; it is ferrimagnetic, ferromagnetic and antiferromagnetic materials which have potential applications. The present thesis focusses on these materials, their composite structures and different ways and means to modify their properties for useful applications.

Verification and Implementation of Call Sequence Analysing Algorithm

Työssä arvioidaan ja verifioidaan puheluiden luokitteluun suunniteltu Call Sequence Analysing Algorithm (CSA-algoritmi). Algoritmin tavoitteena on luokitella riittävän samankaltaiset puhelut ryhmiksi tarkempaa vika-analyysia varten. Työssä esitellään eri koneoppimisalgoritmien pääluokitukset ja niiden tyypilliset eroavaisuudet, eri luokitteluprosesseille ominaiset datatyypit, sekä toimintaympäristöt, joissa kyseinen toteutus on suunniteltu toimivaksi. CSA-algoritmille syötetään verkon ylläpitoviesteistä koostuvia viestisarjoja, joiden sisällön perusteella samankaltaiset sarjat ryhmitellään kokonaisuuksiksi. Algoritmin suorituskykyä arvioidaan 94 käsin luokitellun verrokkisarjan avulla. Sarjat on kerätty toimivasta 3G-verkon kontrollerista. Kahta sarjaa vertailemalla sarjaparille muodostetaan keskinäinen tunnusluku: sarjojen samanlaisuutta kuvaava etäisyys. Tässä työssä keskitytään erityisesti Hamming-etäisyyteen. Etäisyyden avulla sarjat koostetaan ryhmiksi. Muuttamalla hyväksyttävää maksimietäisyyttä, jonka perusteella kaksi sarjaa lasketaan kuuluvaksi samaan ryhmään, saadaan aikaiseksi alaryhmiä, joihin kuuluu ainoastaan samankaltaisia sarjoja. Hyväksyttävän etäisyyden kasvaessa, myös virheluokitusten määrä kasvaa. Oikeiden lajittelutulosten vertailukohteena toimii käsin luokiteltu ryhmittely. CSA-algoritmin luokittelutuloksen tarkkuus esitetään prosentuaalisena osuutena tavoiteryhmittelystä maksimietäisyyden funktiona. Työssä osoitetaan, miten etäisyysattribuutiksi valittu Hamming-etäisyys ei sovellu tämän datan luokitteluun. Työn lopussa ehdotetaan menetelmää ja työkalua, joiden avulla useampaa eri lajittelija-algoritmia voidaan testata nopealla kehityssyklillä.

Modification of aftertaste with a menthol mouthwash reduces food wanting, liking, and ad libitum intake of potato crisps

This research investigated the effect of modifying the aftertaste of potato crisps on (1) temporal sensory perception and (2) appetite using three mouthwash conditions (no mouthwash, a water mouthwash, and a menthol mouthwash). For the sensory study, 17 screened female subjects were trained on the Temporal Dominance of Sensations (TDS) methodology. Subjects undertook TDS to monitor all sensory attributes during the mastication of a 2 g crisp until swallowing (at 20s), then conducted the mouthwash, and then continued the TDS task to monitor aftertaste until 90s. For the appetite study, 36 subjects (18 male, 18 female) completed 100 mm Visual Analogue Scales (VAS) for desire, liking, hunger, and thirst, followed by an ad libitum eating task. For the VAS scales testing, subjects chewed and swallowed a 2 g crisp, and then immediately conducted the mouthwash before completing the VAS scales. For the ad libitum task, subjects were given 12 min to consume as many crisps as they desired on a plate (up to 50 g). Every three minutes they were required to conduct a mouthwash. TDS results showed that in comparison with no mouthwash, the water mouthwash significantly reduced aftertaste attributes such as savoury, salty, and fatty mouthcoating, and the menthol mouthwash significantly increased aftertaste attributes of cooling, minty, and tingly. The water mouthwash did not influence desire and liking of crisps, or hunger and thirst. The water mouthwash did not influence ad libitum intake of the crisps over a 12 min period. The menthol mouthwash significantly reduced desire and liking of the crisps, as well as hunger and thirst. Furthermore, the menthol mouthwash significantly reduced ad libitum crisp intake by 29% over the 12 min period.

The Application of a Dendric Cell Algorithm to a Robotic Classifier

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

Articulation and Clarification of the Dendric Cell Algorithm

The Dendritic Cell algorithm (DCA) is inspired by recent work in innate immunity. In this paper a formal description of the DCA is given. The DCA is described in detail, and its use as an anomaly detector is illustrated within the context of computer security. A port scan detection task is performed to substantiate the influence of signal selection on the behaviour of the algorithm. Experimental results provide a comparison of differing input signal mappings.

The Application of a Dendric Cell Algorithm to a Robotic Classifier

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

The Application of a Dendric Cell Algorithm to a Robotic Classifier

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.