Inclusive Search for Standard Model Higgs Boson Production in the WW Decay Channel using the CDF II Detector

We present a search for standard model (SM) Higgs boson production using ppbar collision data at sqrt(s) = 1.96 TeV, collected with the CDF II detector and corresponding to an integrated luminosity of 4.8 fb-1. We search for Higgs bosons produced in all processes with a significant production rate and decaying to two W bosons. We find no evidence for SM Higgs boson production and place upper limits at the 95% confidence level on the SM production cross section (sigma(H)) for values of the Higgs boson mass (m_H) in the range from 110 to 200 GeV. These limits are the most stringent for m_H > 130 GeV and are 1.29 above the predicted value of sigma(H) for mH = 165 GeV.

Folin-Ciocalteu reagent for the estimation of siderochromes

1. A simple method has been devised for the estimation of siderochromes based on their reaction with Folin-Ciocalteu reagent to give a blue complex under alkaline conditions. 2. The applicability of the method to biological systems has been tested with N. crassa and concentrations in the ranges 5–50 μg and 1–10 μg can be accurately estimated with an over-all recovery of 95%.

Biosynthesis of isoleucine and valine in mycobacterium tuberculosis H37Rv*1: II. Purification and properties of acetohydroxy acid isomerase

Acetohydroxy acid isomerase (AHA isomerase) was purified about 110-fold and separated from reductase and acetohydroxy acid isomeroreductase. The AHA isomerase was found to be homogeneous by agar and polyacrylamide gel electrophoreses at different pHs. The properties of AHA isomerase have been studied. The purified enzyme showed requirement for Image -ascorbic acid and sulfate ions for its activity. Synthetic ascorbic acid sulfate could replace Image -ascorbic acid and sulfate. α-Methyllactate and α-ketoisovalerate were found to inhibit AHA isomerase activity competitively whereas Image -valine and Image -isoleucine had no significant inhibitory effect. p-Hydroxymercuribenzoate inhibited AHA isomerase activity and the inhibition was reversed by β-mercaptoethanol.

Biosynthesis of coenzyme Q in microorganisms

Incorporation of mevalonate-2-C14, acetate-1-C14, and formate-C14 into the lipids of microorganisms was studied. In the case of four bacteria tested—Agrobacterium tumefaciens, Azotobacter vinelandii, Escherichia coli, and a Pseudomonas species—the various homologues of coenzyme Q present were not labeled with any of the tracers used, although significant amounts of radioactivity were present in the lipids. Both acetate and mevalonate were incorporated into coenzyme Q and sterol of the moulds, Aspergillus niger, Neurospora crassa, Penicillium chrysogenum, and Gibberella fujickuroi, and a yeast, Torulopsis utilis. Mevalonate was incorporated into the side chain but not the ring, whereas acetate was incorporated into both. It appears that the mevalonate pathway for the synthesis of coenzyme Q is operative only in those organisms which also contain other isoprene compounds such as sterol and carotene.

Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in pp̅ Collisions at √s=1.96 TeV

We report on a search for the standard model Higgs boson produced in association with a $W$ or $Z$ boson in $p\bar{p}$ collisions at $\sqrt{s} = 1.96$ TeV recorded by the CDF II experiment at the Tevatron in a data sample corresponding to an integrated luminosity of 2.1 fb$^{-1}$. We consider events which have no identified charged leptons, an imbalance in transverse momentum, and two or three jets where at least one jet is consistent with originating from the decay of a $b$ hadron. We find good agreement between data and predictions. We place 95% confidence level upper limits on the production cross section for several Higgs boson masses ranging from 110$\gevm$ to 150$\gevm$. For a mass of 115$\gevm$ the observed (expected) limit is 6.9 (5.6) times the standard model prediction.

Opaskoirien pentutestin perinnölliset tunnusluvut

Tutkimuksen tarkoituksena oli selvittää Opaskoirakoulun pentutestissä mitattavien ominaisuuksien perinnölliset tunnusluvut sekä niihin vaikuttavat tekijät. Aineisto koostui Opaskoirakoululla vuosina 1988–2008 pentutestin suorittaneista koirista (900 kpl). Suomen Kennelliito ry:stä saatiin sukulaisuusaineisto, johon täydennettiin rekisteriin kuulumattomat koirat. Tutkittavia ominaisuuksia oli 11 kappaletta: käyttäytyminen sylissä, luoksetulo, kontakti, taistelu, alistus, palautuminen, ääniherkkyys, käyttäytyminen pöydällä, seuraaminen, toimintakyky ja hermorakenne. Kaikki ominaisuudet arvostellaan pentutestissä valmiiden käyttäytymismallien mukaisesti. Aineiston esikäsittelyyn ja alustaviin analyyseihin käytettiin Microsoft Office Excel 2003-ohjelmaa sekä WSYS-L ja XWSYS-ohjelmistoja. Kiinteiden tekijöiden luokitteluun ja merkitsevyyden testaamiseen käytettiin WSYS-L ja XWSYS-ohjelmistoa. Varianssikomponentit sekä periytymisasteet laskettiin Restricted Maximum Likelihood (REML)-menetelmällä käyttäen VCE6-ohjelmistoa Tutkittujen ominaisuuksien periytymisasteiden arviot olivat alhaisia tai keskinkertaisia (h2= 0,07-0,39). Korkeimmat periytymisasteiden arviot olivat ominaisuuksilla alistus (0,39), toimintakyky (0,32) ja kontakti (0,31). Ominaisuuksien väliset geneettiset korrelaatiot olivat pääosin positiivisia. Poikkeuksen muodosti ominaisuus alistus, joka oli negatiivisesti korreloitunut palautumisen (-0,47) ja seuraamisen (-0,64) kanssa. Osa ominaisuuksista oli erittäin voimakkaasti korreloituneita (r > 0,8). Fenotyyppiset korrelaatiot vaihtelivat välillä 0,11–0,73 ja olivat geneettisiä korrelaatioita matalampia. Tämän tutkimuksen perusteella ominaisuuksissa käyttäytyminen sylissä, luoksetulo, kontakti, taistelu, alistus, ääniherkkyys, käyttäytyminen pöydällä ja toimintakyky on geneettistä vaihtelua ja sen perusteella niitä on mahdollista muuttaa haluttuun suuntaan jalostuksen avulla.

A method for the preferential isolation of actinomycetes from soils

A successful plate-method for the preferential isolation of actinomycetes from soils is described. The principles underlying it are: (1) the inhibition of growth of non-sporulating bacteria by pre-incubation at a high temperature (110 C) for 10 min, and (2) limiting the spreading growth of sporeforming bacteria and fungi by the use of dried plates. The majority of the 191 species isolated by this method from 82 soil samples were shown to be pectinolytic.

Biosynthesis of isoleucine and valine in mycobacterium tuberculosis H37Rv. II. Purification and properties of acetohydroxy acid isomeras

Acetohydroxy acid isomerase (AHA isomerase) was purified about 110-fold and separated from reductase and acetohydroxy acid isomeroreductase. The AHA isomerase was found to be homogeneous by agar and polyacrylamide gel electrophoreses at different pHs. The properties of AHA isomerase have been studied. The purified enzyme showed requirement for l-ascorbic acid and sulfate ions for its activity. Synthetic ascorbic acid sulfate could replace l-ascorbic acid and sulfate. α-Methyllactate and α-ketoisovalerate were found to inhibit AHA isomerase activity competitively whereas l-valine and l-isoleucine had no significant inhibitory effect. p-Hydroxymercuribenzoate inhibited AHA isomerase activity and the inhibition was reversed by β-mercaptoethanol.

Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF

We present a search for standard model Higgs boson production in association with a W boson in proton-antiproton collisions at a center of mass energy of 1.96 TeV. The search employs data collected with the CDF II detector that correspond to an integrated luminosity of approximately 1.9 inverse fb. We select events consistent with a signature of a single charged lepton, missing transverse energy, and two jets. Jets corresponding to bottom quarks are identified with a secondary vertex tagging method, a jet probability tagging method, and a neural network filter. We use kinematic information in an artificial neural network to improve discrimination between signal and background compared to previous analyses. The observed number of events and the neural network output distributions are consistent with the standard model background expectations, and we set 95% confidence level upper limits on the production cross section times branching fraction ranging from 1.2 to 1.1 pb or 7.5 to 102 times the standard model expectation for Higgs boson masses from 110 to $150 GeV/c^2, respectively.

Lattice vibrations and specific heat of zinc blende

The dispersion relations, frequency distribution function and specific heat of zinc blende have been calculated using Houston's method on (1) A short range force (S. R.) model of the type employed in diamond by Smith and (2) A long range model assuming an effective charge Ze on the ions. Since the elastic constant data on ZnS are not in agreement with one another the following values were used in these calculations: {Mathematical expression}. As compared to the results on the S. R. model, the Coulomb force causes 1. A splitting of the optical branches at (000) and a larger dispersion of these branches; 2. A rise in the acoustic frequency branches the effect being predominant in a transverse acoustic branch along [110]; 3. A bridging of the gap of forbidden frequencies in the S. R. model; 4. A reduction of the moments of the frequency distribution function and 5. A flattening of the Θ- T curve. By plotting (Θ/Θ0) vs. T., the experimental data of Martin and Clusius and Harteck are found to be in perfect coincidence with the curve for the short range model. The values of the elastic constants deduced from the ratio Θ0 (Theor)/Θ0 (Expt) agree with those of Prince and Wooster. This is surprising as several lines of evidence indicate that the bond in zinc blende is partly covalent and partly ionic. The conclusion is inescapable that the effective charge in ZnS is a function of the wave vector {Mathematical expression}.

A coaxial capacitive voltage divider for oscilloscopic recording of nanosecond high voltage pulses

A coaxial capacitance voltage divider with a ratio of 110 and a rise time much less than 2.5 ns was developed for use with a transmission line pulse generator capable of producing 100 kV rectangular pulses of 2 mu s duration. The low voltage arm of the divider is a 3 cm long tube of titania (TiO2) turned out from a cylindrical compact. The compact was made by first pressing titania powder using a suitable binder and then sintering at controlled temperatures. The tube was slipped over the terminating end of the pulse-forming cable to form the divider with the cable capacitance.

Consumption in Rural Bangladesh : Households, Lifestyles, and Identities

Bangladesh, often better known to the outside world as a country of natural calamities, is one of the most densely populated countries in the world. Despite rapid urbanization, more than 75% of the people still live in rural areas. The density of the rural population is also one of the highest in the world. Being a poor and low-income country, its main challenge is to eradicate poverty through increasing equitable income. Since its independence in 1971, Bangladesh has experienced many ups and downs, but over the past three decades, its gross domestic product (GDP) has grown at an impressive rate. Consequently, the country s economy is developing and the country has outperformed many low-income countries in terms of several social indicators. Bangladesh has achieved the Millennium Development Goal (MDG) of eliminating gender disparity in primary and secondary school enrollment. A sharp decline in child and infant mortality rates, increased per capita income, and improved food security have placed Bangladesh on the track to achieving in the near future the status of a middle-income country. All these developments have influenced the consumption pattern of the country. This study explores the consumption scenario of rural Bangladesh, its changing consumption patterns, the relationship between technology and consumption in rural Bangladesh, cultural consumption in rural Bangladesh, and the myriad reasons why consumers nevertheless feel compelled to consume chemically treated foods. Data were collected in two phases in the summers of 2006 and 2008. In 2006, the empirical data were collected from the following three sources: interviews with consumers, producers/sellers, and doctors and pharmacists; observations of sellers/producers; and reviews of articles published in the national English and Bengali (the national language of Bangladesh) daily newspapers. A total of 110 consumers, 25 sellers/producers, 7 doctors, and 7 pharmacists were interviewed and observed. In 2008, data were collected through semi-structured in-depth qualitative interviews, ethnography, and unstructured conversations substantiated by secondary sources and photographs; the total number of persons interviewed was 22. -- Data were also collected on the consumption of food, clothing, housing, education, medical facilities, marriage and dowry, the division of labor, household decision making, different festivals such as Eid (for Muslims), the Bengali New Year, and Durga puja (for Hindus), and leisure. Qualitative methods were applied to the data analysis and were supported by secondary quantitative data. The findings of this study suggest that the consumption patterns of rural Bangladeshis are changing over time along with economic and social development, and that technology has rendered aspects of daily life more convenient. This study identified the perceptions and experiences of rural people regarding technologies in use and explored how culture is associated with consumption. This study identified the reasons behind the use of hazardous chemicals (e.g. calcium carbide, sodium cyclamate, cyanide and formalin, etc.) in foods as well as the extent to which food producers/sellers used such chemicals. In addition, this study assessed consumer perceptions of and attitudes toward these contaminated food items and explored how adulterated foods and food stuffs affect consumer health. This study also showed that consumers were aware that various foods and food stuffs contained hazardous chemicals, and that these adulterated foods and food stuffs were harmful to their health.

Detecting Earnings Management Using Neural Networks

Detecting Earnings Management Using Neural Networks. Trying to balance between relevant and reliable accounting data, generally accepted accounting principles (GAAP) allow, to some extent, the company management to use their judgment and to make subjective assessments when preparing financial statements. The opportunistic use of the discretion in financial reporting is called earnings management. There have been a considerable number of suggestions of methods for detecting accrual based earnings management. A majority of these methods are based on linear regression. The problem with using linear regression is that a linear relationship between the dependent variable and the independent variables must be assumed. However, previous research has shown that the relationship between accruals and some of the explanatory variables, such as company performance, is non-linear. An alternative to linear regression, which can handle non-linear relationships, is neural networks. The type of neural network used in this study is the feed-forward back-propagation neural network. Three neural network-based models are compared with four commonly used linear regression-based earnings management detection models. All seven models are based on the earnings management detection model presented by Jones (1991). The performance of the models is assessed in three steps. First, a random data set of companies is used. Second, the discretionary accruals from the random data set are ranked according to six different variables. The discretionary accruals in the highest and lowest quartiles for these six variables are then compared. Third, a data set containing simulated earnings management is used. Both expense and revenue manipulation ranging between -5% and 5% of lagged total assets is simulated. Furthermore, two neural network-based models and two linear regression-based models are used with a data set containing financial statement data from 110 failed companies. Overall, the results show that the linear regression-based models, except for the model using a piecewise linear approach, produce biased estimates of discretionary accruals. The neural network-based model with the original Jones model variables and the neural network-based model augmented with ROA as an independent variable, however, perform well in all three steps. Especially in the second step, where the highest and lowest quartiles of ranked discretionary accruals are examined, the neural network-based model augmented with ROA as an independent variable outperforms the other models.

Inference on Cointegration in Vector Autoregressive Models (summary section only)

In the thesis we consider inference for cointegration in vector autoregressive (VAR) models. The thesis consists of an introduction and four papers. The first paper proposes a new test for cointegration in VAR models that is directly based on the eigenvalues of the least squares (LS) estimate of the autoregressive matrix. In the second paper we compare a small sample correction for the likelihood ratio (LR) test of cointegrating rank and the bootstrap. The simulation experiments show that the bootstrap works very well in practice and dominates the correction factor. The tests are applied to international stock prices data, and the .nite sample performance of the tests are investigated by simulating the data. The third paper studies the demand for money in Sweden 1970—2000 using the I(2) model. In the fourth paper we re-examine the evidence of cointegration between international stock prices. The paper shows that some of the previous empirical results can be explained by the small-sample bias and size distortion of Johansen’s LR tests for cointegration. In all papers we work with two data sets. The first data set is a Swedish money demand data set with observations on the money stock, the consumer price index, gross domestic product (GDP), the short-term interest rate and the long-term interest rate. The data are quarterly and the sample period is 1970(1)—2000(1). The second data set consists of month-end stock market index observations for Finland, France, Germany, Sweden, the United Kingdom and the United States from 1980(1) to 1997(2). Both data sets are typical of the sample sizes encountered in economic data, and the applications illustrate the usefulness of the models and tests discussed in the thesis.