Cathleen ni Houlihan vastaan John Bull : irlantilaisnaisten kamppailu kansallisen itsemääräämisoikeuden ja naisasian puolesta

Sari Oikarinen

Microsatellite polymorphism in the edaphic spruce, Picea asperata, originating from the mountains of China

Abstract

The effect of free or restricted acidified milk feeding of Finnish Ayrshire bull calves on the subsequent fattening and slaughter performance

Selostus: Vapaan ja rajoitetun maitojuoton vaikutukset ayrshiresonnien kasvuun koko kasvatuskauden aikana ja teurastuloksiin

Climbing in the Arctic Mountains

kuv., 10 x 22 cm

A new map of Denmark, Norway, Sweden, & Moscovy shewing their present general divisions, cheif, [!] cities or towns, rivers, mountains, &c.

[N. 1:8500000].

A new map of Denmark, Norway, Sweden & Moscovy, shewing their present general divisions, cheif, cities or towns, rivers, mountains, &c.: dedicated to his highness William Duke of Glocester

0-meridiaani Lontoo: Koordinaattiasteikko: W15°-E85°, N74°30'-48°.

Bullterrierin letaali akrodermatiitti : tapausselostus ruskeavalkealla bullterrierillä

Summary: Lethal acrodermatitis of Bull Terrier in a nonwhite dog : a case report

Improvements in the Assessment of Bacterial Viability and Killing

It is axiomatic that our planet is extensively inhabited by diverse micro-organisms such as bacteria, yet the absolute diversity of different bacterial species is widely held to be unknown. Different bacteria can be found from the depths of the oceans to the top of the mountains; even the air is more or less colonized by bacteria. Most bacteria are either harmless or even advantageous to human beings but there are also bacteria, which can cause severe infectious diseases or spoil the supplies intended for human consumption. Therefore, it is vitally important not only to be able to detect and enumerate bacteria but also to assess their viability and possible harmfulness. Whilst the growth of bacteria is remarkably fast under optimum conditions and easy to detect by cultural methods, most bacteria are believed to lie in stationary phase of growth in which the actual growth is ceased and thus bacteria may simply be undetectable by cultural techniques. Additionally, several injurious factors such as low and high temperature or deficiency of nutrients can turn bacteria into a viable but non-culturable state (VBNC) that cannot be detected by cultural methods. Thereby, various noncultural techniques developed for the assessment of bacterial viability and killing have widely been exploited in modern microbiology. However, only a few methods are suitable for kinetic measurements, which enable the real-time detection of bacterial growth and viability. The present study describes alternative methods for measuring bacterial viability and killing as well as detecting the effects of various antimicrobial agents on bacteria on a real-time basis. The suitability of bacterial (lux) and beetle (luc) luciferases as well as green fluorescent protein (GFP) to act as a marker of bacterial viability and cell growth was tested. In particular, a multiparameter microplate assay based on GFP-luciferase combination as well as a flow cytometric measurement based on GFP-PI combination were developed to perform divergent viability analyses. The results obtained suggest that the antimicrobial activities of various drugs against bacteria could be successfully measured using both of these methods. Specifically, the data reliability of flow cytometric viability analysis was notably improved as GFP was utilized in the assay. A fluoro-luminometric microplate assay enabled kinetic measurements, which significantly improved and accelerated the assessment of bacterial viability compared to more conventional viability assays such as plate counting. Moreover, the multiparameter assay made simultaneous detection of GFP fluorescence and luciferase bioluminescence possible and provided extensive information about multiple cellular parameters in single assay, thereby increasing the accuracy of the assessment of the kinetics of antimicrobial activities on target bacteria.

Osakekurssin reagointi tulosvaroitukseen nousu- ja laskumarkkinoilla

Tutkimuksen tavoitteena on selvittää tapahtuuko tulosvaroituksen yhteydessä yli- tai alireagointia nousu- ja laskumarkkinoiden aikana. Tutkimus tehdään tapahtumatutkimuksena, jossa tarkoituksena on tutkia osakkeiden epänormaaleja tuottoja tulosvaroituspäivän ympärillä. Tapahtumaikkunan pituus on yhteensä 11 päivää [-5, +5]. Aineisto koostuu Helsingin pörssin OMXH25 indeksin yritysten julkaisemista tulosvaroituksista vuosien 1997–2009 välillä. Tälle aikavälille osuu 200 päivän liukuvalla keskiarvolla mitattuna kaksi nousu- ja kaksi laskumarkkinaa. Tutkimuksessa ei havaittu selvää yli- tai alireagointia nousu- tai laskumarkkinoilla. Sen sijaan tietty säännöllisyys reagoinnissa tulosvaroituksiin löydettiin: Nousumarkkinoilla, tulosvaroituspäivän jälkeen näkyy selvä positiivinen tuotto kahden päivän ajalta tulosvaroituksen jälkeen, riippumatta siitä onko kyseessä positiivinen vai negatiivinen tulosvaroitus. Vastaavasti laskumarkkinoilla löydettiin selvä negatiivinen epänormaali tuotto kahden päivän ajalta tulosvaroituksen jälkeen.

Opus Dein perustajan elämä sarjakuvana

Kirjallisuusarvostelu

Determinants of credit default swap spread, the effect of the financial crisis in the us markets

The purpose of this study is to define what determinants affect the Credit spread. There are two theoretical frameworks to study this: structural models and reduced form models. Structural models indicate that the main determinants are company leverage, volatility and risk-free interest rate, and other market and firm-specific variables. The purpose is to determine which of these theoretical determinants can explain the CDS spread and also how these theoretical determinants are affected by the financial crisis in 2007. The data is collected from 30 companies in the US Markets, mainly S&P Large Cap. The sample time-frame is 31.1.2004 – 31.12.2009. Empirical studies indicate that structural models can explain the CDS spreads well. Also, there were significant differences between bear and bull markets. The main determinants explaining CDS spreads were leverage and volatility. The other determinants were significant, depending on the sample period. However, these other variables did not explain the spread consistently.

The Effect of Dividend Yield to Stocks’ Performance on Bullish and Bearish Finnish Stock Market

This study examines the relationship between dividend yield and stock return over bullish and bearish Finnish stock market by testing for alpha and beta shifts across bull and bear markets. In addition, this study examines if various factors, such as a standard deviation of dividends, firm size and profitability have an effect on the size, of the firms’ dividends and systematic risk of the stocks. We divide stocks into five portfolios on the basis of their past average dividend yields and investigate if the highest yielding portfolios outperform the lowest yielding portfolios during the different market conditions. As a result, high yielding stocks were most stable during the examination period and offered downside protection on bear markets. However, a strategy of forming portfolios with past dividend yields led to negative alphas even in bull markets. Standard deviation of dividends, firm size and profitability were found to have no effect on the size of dividends and systematic risk of the stocks.