40 resultados para Optimal temperature
Resumo:
In the present thesis, questions of spectral tuning, the relation of spectral and thermal properties of visual pigments, and evolutionary adaptation to different light environments were addressed using a group of small crustaceans of the genus Mysis as a model. The study was based on microspectrophotometric measurements of visual pigment absorbance spectra, electrophysiological measurements of spectral sensitivities of dark-adapted eyes, and sequencing of the opsin gene retrieved through PCR. The spectral properties were related to the spectral transmission of the respective light environments, as well as to the phylogentic histories of the species. The photoactivation energy (Ea) was estimated from temperature effects on spectral sensitivity in the long-wavelength range, and calculations were made for optimal quantum catch and optimal signal-to-noise ratio in the different light environments. The opsin amino acid sequences of spectrally characterized individuals were compared to find candidate residues for spectral tuning. The general purpose was to clarify to what extent and on what time scale adaptive evolution has driven the functional properties of (mysid) visual pigments towards optimal performance in different light environments. An ultimate goal was to find the molecular mechanisms underlying the spectral tuning and to understand the balance between evolutionary adaptation and molecular constraints. The totally consistent segregation of absorption maxima (λmax) into (shorter-wavelength) marine and (longer-wavelength) freshwater populations suggests that truly adaptive evolution is involved in tuning the visual pigment for optimal performance, driven by selection for high absolute visual sensitivity. On the other hand, the similarity in λmax and opsin sequence between several populations of freshwater M. relicta in spectrally different lakes highlights the limits to adaptation set by evolutionary history and time. A strong inverse correlation between Ea and λmax was found among all visual pigments studied in these respects, including those of M. relicta and 10 species of vertebrate pigments, and this was used to infer thermal noise. The conceptual signal-to-noise ratios thus calculated for pigments with different λmax in the Baltic Sea and Lake Pääjärvi light environments supported the notion that spectral adaptation works towards maximizing the signal-to-noise ratio rather than quantum catch as such. Judged by the shape of absorbance spectra, the visual pigments of all populations of M. relicta and M. salemaai used exclusively the A2 chromophore (3, 4-dehydroretinal). A comparison of amino acid substitutions between M. relicta and M. salemaai indicated that mysid shrimps have a small number of readily available tuning sites to shift between a shorter - and a longer -wavelength opsin. However, phylogenetic history seems to have prevented marine M. relicta from converting back to the (presumably) ancestral opsin form, and thus the more recent reinvention of marine spectral sensitivity has been accomplished by some other novel mechanism, yet to be found
Resumo:
Data assimilation provides an initial atmospheric state, called the analysis, for Numerical Weather Prediction (NWP). This analysis consists of pressure, temperature, wind, and humidity on a three-dimensional NWP model grid. Data assimilation blends meteorological observations with the NWP model in a statistically optimal way. The objective of this thesis is to describe methodological development carried out in order to allow data assimilation of ground-based measurements of the Global Positioning System (GPS) into the High Resolution Limited Area Model (HIRLAM) NWP system. Geodetic processing produces observations of tropospheric delay. These observations can be processed either for vertical columns at each GPS receiver station, or for the individual propagation paths of the microwave signals. These alternative processing methods result in Zenith Total Delay (ZTD) and Slant Delay (SD) observations, respectively. ZTD and SD observations are of use in the analysis of atmospheric humidity. A method is introduced for estimation of the horizontal error covariance of ZTD observations. The method makes use of observation minus model background (OmB) sequences of ZTD and conventional observations. It is demonstrated that the ZTD observation error covariance is relatively large in station separations shorter than 200 km, but non-zero covariances also appear at considerably larger station separations. The relatively low density of radiosonde observing stations limits the ability of the proposed estimation method to resolve the shortest length-scales of error covariance. SD observations are shown to contain a statistically significant signal on the asymmetry of the atmospheric humidity field. However, the asymmetric component of SD is found to be nearly always smaller than the standard deviation of the SD observation error. SD observation modelling is described in detail, and other issues relating to SD data assimilation are also discussed. These include the determination of error statistics, the tuning of observation quality control and allowing the taking into account of local observation error correlation. The experiments made show that the data assimilation system is able to retrieve the asymmetric information content of hypothetical SD observations at a single receiver station. Moreover, the impact of real SD observations on humidity analysis is comparable to that of other observing systems.
Resumo:
To a large extent, lakes can be described with a one-dimensional approach, as their main features can be characterized by the vertical temperature profile of the water. The development of the profiles during the year follows the seasonal climate variations. Depending on conditions, lakes become stratified during the warm summer. After cooling, overturn occurs, water cools and an ice cover forms. Typically, water is inversely stratified under the ice, and another overturn occurs in spring after the ice has melted. Features of this circulation have been used in studies to distinguish between lakes in different areas, as basis for observation systems and even as climate indicators. Numerical models can be used to calculate temperature in the lake, on the basis of the meteorological input at the surface. The simple form is to solve the surface temperature. The depth of the lake affects heat transfer, together with other morphological features, the shape and size of the lake. Also the surrounding landscape affects the formation of the meteorological fields over the lake and the energy input. For small lakes the shading by the shores affects both over the lake and inside the water body bringing limitations for the one-dimensional approach. A two-layer model gives an approximation for the basic stratification in the lake. A turbulence model can simulate vertical temperature profile in a more detailed way. If the shape of the temperature profile is very abrupt, vertical transfer is hindered, having many important consequences for lake biology. One-dimensional modelling approach was successfully studied comparing a one-layer model, a two-layer model and a turbulence model. The turbulence model was applied to lakes with different sizes, shapes and locations. Lake models need data from the lakes for model adjustment. The use of the meteorological input data on different scales was analysed, ranging from momentary turbulent changes over the lake to the use of the synoptical data with three hour intervals. Data over about 100 past years were used on the mesoscale at the range of about 100 km and climate change scenarios for future changes. Increasing air temperature typically increases water temperature in epilimnion and decreases ice cover. Lake ice data were used for modelling different kinds of lakes. They were also analyzed statistically in global context. The results were also compared with results of a hydrological watershed model and data from very small lakes for seasonal development.
Resumo:
Quantum chromodynamics (QCD) is the theory describing interaction between quarks and gluons. At low temperatures, quarks are confined forming hadrons, e.g. protons and neutrons. However, at extremely high temperatures the hadrons break apart and the matter transforms into plasma of individual quarks and gluons. In this theses the quark gluon plasma (QGP) phase of QCD is studied using lattice techniques in the framework of dimensionally reduced effective theories EQCD and MQCD. Two quantities are in particular interest: the pressure (or grand potential) and the quark number susceptibility. At high temperatures the pressure admits a generalised coupling constant expansion, where some coefficients are non-perturbative. We determine the first such contribution of order g^6 by performing lattice simulations in MQCD. This requires high precision lattice calculations, which we perform with different number of colors N_c to obtain N_c-dependence on the coefficient. The quark number susceptibility is studied by performing lattice simulations in EQCD. We measure both flavor singlet (diagonal) and non-singlet (off-diagonal) quark number susceptibilities. The finite chemical potential results are optained using analytic continuation. The diagonal susceptibility approaches the perturbative result above 20T_c$, but below that temperature we observe significant deviations. The results agree well with 4d lattice data down to temperatures 2T_c.
Resumo:
Koneellinen annosjakelu on kasvava lääkehuollon osa-alue, jossa lääkkeet pakataan koneellisesti pieniin annoskertakohtaisiin pusseihin kahden viikon erissä. Aikaisemmin lääkevalmisteiden soveltuvuutta koneelliseen annosjakeluun ei ole systemaattisesti tutkittu. Tutkimus tehtiin yhteistyössä Espoonlahden apteekin annosjakeluyksikön kanssa ja sen tavoitteena oli määrittää annosjakeluprosessin kannalta optimaaliset ominaisuudet annosjaeltavalle tabletille rikkoutumisten ja siirtymien vähentämiseksi. Rikkoutuminen on lääkevalmisteen murentumista, puolittumista tai muuta rikkoutumista annosjakelun aikana. Siirtymä on lääkevalmisteen jakelu väärään annospussiin. Prosentuaalisesti rikkoutumisia ja siirtymiä on jakelumäärästä hyvin vähän, mutta määrällisesti paljon ja koko ajan enemmän koneellisen annosjakelun yleistyessä. Rikkoutumiset ja siirtymät aiheuttavat paljon lisätyötä pussien korjaamisen takia, joten niiden määrää on pyrittävä vähentämään. Lisäksi tavoitteena oli selvittää lääkkeiden valmistajilta kysyttävissä olevat asiat lääkevalmisteiden ominaisuuksista ja säilyvyydestä, jotta voitaisiin päätellä valmisteen soveltuvuus koneelliseen annosjakeluun kirjallisen tiedon perusteella. Tutkimuksen tulosten perusteella rikkoutumisten ja siirtymien vähentämiseksi optimaalinen tablettivalmiste annosjakeluun on pienehkö tai keskisuuri, päällystetty, luja ja jakouurteeton ja optimaalinen ilman suhteellinen kosteustaso annosjakeluyksikön tuotantotiloissa olisi noin 30 – 40 %. Lääkkeiden valmistajilta kysyttäviä seikkoja ovat koon, päällysteen, murtolujuuden ja jakouurteen lisäksi valmisteen säilyvyys alkuperäispakkauksen ulkopuolella sekä valmisteen valo-, lämpö- ja kosteusherkkyys. Rikkoutumisten ja siirtymien lisäksi tutkittiin myös kosteusherkän asetyylisalisyylihappovalmisteen (Disperin 100 mg) säilyvyyttä 25 °C ja 60 % RH olosuhteissa, koska tuotantotilojen ilman kosteustasoa ei ole säädelty. Säilyvyystutkimuksen kesto oli neljä viikkoa. Se on riittävä, koska se on enimmäisaika, jonka tabletit ovat annosjakeluprosessin yhteydessä pois alkuperäispakkauksestaan ennen käyttöä. Tabletteja säilytettiin avoimessa alkuperäispakkauksessa (purkki), suljetussa alkuperäispakkauksessa, annosjakelukoneen kasetissa ja kahdessa erilaisessa annospussissa (uusi ja käytössä oleva materiaali). Tulosten mukaan annosjakelukoneen kasetti suojaa kosteudelta yhtä huonosti kuin avoin purkki. Uusi pussimateriaali sen sijaan suojaa kosteudelta paremmin kuin tällä hetkellä käytössä oleva materiaali. Raman -spektroskopiamittausten perusteella asetyylisalisyylihappotableteissa ei ehdi neljän viikon seurannan aikana tapahtua asetyylisalisyylihapon hajoamista salisyylihapoksi. Kosteus heikentää tablettien murtolujuutta, mikä saattaa aiheuttaa enemmän rikkoutumisia. Kosteustaso olisi hyvä olla säädettävissä vakioksi tuotantotiloissa tai purkaa tabletit kasetteihin mahdollisimman lähellä jakelua rikkoutumisten ehkäisemiseksi, etenkin ilman kosteustason ollessa korkea. Lisäksi tutkittiin lääkevalmisteen lämpöherkkyyttä koska annosjakelukoneen saumauslaite altistaa annospussit noin 75 °C lämmölle, jos annosjakelukone pysäytetään kesken työn. Tutkimus tehtiin XRPD:llä, jolla voidaan säätää näytteen lämpötilaa. Lämpöherkkyystutkimusten perusteella 75 °C lämpö ei ehdi tunnin aikana aiheuttaa muutoksia karbamatsepiinitabletissa (Neurotol 200 mg). Tuloksista selvisi, että tutkitun valmisteen sisältämä karbamatsepiini ei kuitenkaan ole lämpöherkin muoto, joten muita lämpöherkkiä lääkevalmisteita tulisi tutkia lisätiedon saamiseksi lämmön vaikutuksista.
Resumo:
This study develops a real options approach for analyzing the optimal risk adoption policy in an environment where the adoption means a switch from one stochastic flow representation into another. We establish that increased volatility needs not decelerate investment, as predicted by the standard literature on real options, once the underlying volatility of the state is made endogenous. We prove that for a decision maker with a convex (concave) objective function, increased post-adoption volatility increases (decreases) the expected cumulative present value of the post-adoption profit flow, which consequently decreases (increases) the option value of waiting and, therefore, accelerates (decelerates) current investment.
Resumo:
We characterize the optimal reserves, and the generated probability of a bank run, as a function of the penalty imposed by the central bank, the probability of depositors’ liquidity needs, and the return on outside investment opportunities.
Resumo:
The objective of this thesis is to examine the economic effects in the conflict between grey seal population and the salmon fishery in the Baltic Sea. We will formulate a bioeconomic model which provides new insights on the optimal management of Atlantic salmon with respect to the effects brought about by the grey seal population. As the catch losses caused by seals have an effect on salmon fishery in Baltic, we will study how seal population affects the present value of the salmon fishery. The study considers the Finnish coastal trap net fishery. The bioeconomic model considers a scenario of sole salmon fishery and a scenario of salmon fishery affected by the grey seal population. On the basis of these scenarios, a seal compensation scheme is introduced. We can observe a significant economic seal-induced effect on the salmon fishery. The results suggest that the present seal compensation scheme emploid by the Finnish government is suboptimal. This thesis is part of the TARMO –project, in which the conflict between grey seal population and salmon fishery is studied using the methods of environmental economics.