73 results on '"F Teuscher"'
Search Results
2. Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs
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D. Wittenburg, V. Guiard, F. Teuscher, and N. Reinsch
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birth weight ,within-litter variation ,gamma distribution ,linear mixed model ,generalized linear mixed model ,Animal culture ,SF1-1100 - Abstract
Genetics affects not only the weight of piglets at birth but also the variability of birth weight within litter. Previous studies on this topic assigned the sample standard deviation of piglet birth weights within litter as an observation to the sow. However, the contribution of the difference in mean birth weight per sex on the within-litter variance has been neglected so far. This work deals with the genetic effect on within-litter variance when different statistical models with different distributional assumptions are used and considers the sex effect and appropriate weights per trait. Traits were formed from the pooled sample variance of male and female birth weights within litter. A linear model approach was fitted to the logarithmized within-litter variance and the sample standard deviation. A generalized linear model with gamma-distributed residuals and log-link function was applied to the untransformed sample variance. Models were compared by analysing data from 9439 litters from Landrace and Large White of a commercial breeding programme. The estimates of heritability for different traits ranged from 7% to 11%. Although the generalized linear mixed model is preferred from a mathematical view, the rank correlations between breeding values of the linear mixed models and the generalized linear mixed model were relatively high, i.e. 94% to 98%. By residual diagnostics, a linear mixed model using the weighted and pooled within-litter standard deviation was identified as most suitable.
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- 2008
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3. Optimum multistage genomic selection in dairy cattle
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V. Börner, Norbert Reinsch, and F. Teuscher
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Male ,Genotype ,Breeding program ,Selection strategy ,Breeding ,Biology ,Polymorphism, Single Nucleotide ,genomic selection ,multistage selection ,Statistics ,Genetics ,Animals ,Selection, Genetic ,Dairy cattle ,business.industry ,Sire ,dairy cattle ,Pedigree ,Biotechnology ,Dairying ,Genetic gain ,Costs and Cost Analysis ,Optimal allocation ,Cattle ,Female ,Animal Science and Zoology ,business ,Algorithms ,Imputation (genetics) ,Genomic selection ,Food Science - Abstract
The availability of different single nucleotide polymorphism (SNP) chips and the development of imputation algorithms allow for multistage dairy cattle breeding schemes applying various genomic selection strategies. These SNP genotypes yield genomically estimated breeding values (GEBV) with different accuracies at different costs. Thus, the optimum allocation of investments to different selection paths and strategies to maximize the genetic gain per year (ΔG a ) and its sensitivity to changes in cost and accuracies of GEBV is of great interest. This is even more relevant under the constraints of limited financial resources. With deterministic methods, optimum multistage breeding plans maximizing ΔG a were identified in which selection could take place on GEBV derived from high-density (GEBV HD ) and low-density (GEBV LD ) SNP genotypes. To account for the uncertainty of cost and accuracies of GEBV, these parameters were varied in a semi-continuous manner. Overall breeding costs were limited to the crucial expenses of a traditional breeding program with 50 progeny-tested young bulls per year. Results clearly show that, in an optimal selection strategy, selection on GEBV LD is predominantly used for the identification of future bull dams but the main part of ΔG a is still generated from selection of sires. The low selection intensity in the path dam to sire induced a higher sensitivity of ΔG a to changes in cost and accuracies of GEBV LD compared with the same changes of GEBV HD . On the contrary, the genetic gain generated from selection of males was only affected by changes in accuracies of GEBV HD but almost unaffected by any changes in cost. Thus, changes in cost and accuracies of GEBV LD put the most pressure on the breeding scheme structure to maintain a high ΔG a . Furthermore, genomic selection of bull dams produced by far the majority of breeding cost but the lowest genetic gain.
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- 2012
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4. Differences in muscle and fat accretion in Japanese Black and European cattle
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F. Teuscher, K. Sakashita, J. Wegner, Takafumi Gotoh, Hisao Iwamoto, K. Kawabata, and Elke Albrecht
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Longissimus muscle ,medicine.medical_specialty ,Marbled meat ,Adipose tissue ,Biology ,Body weight ,Breed ,Animal science ,Endocrinology ,Internal medicine ,medicine ,Intramuscular fat ,Carcass composition ,Food Science - Abstract
The development of different muscles and adipose tissues during growth was investigated in commercial Japanese Black (JB) cattle and compared with breeds of the largest variation to be found in Europe. Animals, reared under typical conditions for Japanese and European beef production systems, gained similar body weights but different carcass composition at 24months of age. The carcass of JB contained more adipose tissue and the least proportion of muscle. The longissimus muscle of JB developed extraordinary amounts of 23.3% intramuscular fat (IMF) at 24months of age, compared from 0.6% to 4.7% in European breeds. The relationships between IMF content in the longissimus muscle and different adipose tissue weights indicate that a large amount of "waste fat" is accreted with every percent of IMF. However in JB, the good ability of IMF deposition is associated with relatively least development of "waste fat", as a result of unique breed characteristics combined with special feeding system.
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- 2009
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5. Growth- and breed-related changes of muscle bundle structure in cattle1
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K. Ender, F. Teuscher, J. Wegner, and Elke Albrecht
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Veterinary medicine ,business.industry ,food and beverages ,Connective tissue ,General Medicine ,Beef cattle ,Biology ,Breed ,Muscle hypertrophy ,Animal science ,medicine.anatomical_structure ,Belgian Blue ,Genetics ,medicine ,Animal Science and Zoology ,Livestock ,Muscle fibre ,Semitendinosus muscle ,business ,Food Science - Abstract
The objective of this study was to investigate the changes in muscle fiber bundles of cattle of different breeds during growth. Different numbers of muscle fibers are surrounded by connective tissue to form bundles macroscopically visible as meat fibers or meat grain, a common meat quality trait. To determine the influence of breed and age on morphological characteristics of muscle fiber bundles, 4 cattle breeds with different growth impetus and muscularity were reared and slaughtered under experimental conditions. German Angus, a typical beef cattle; Galloway, a smaller beef type; Holstein Friesian, a dairy type; and double-muscled Belgian Blue, an extreme type for muscle growth, were used. Between 5 and 15 bulls of each breed were slaughtered at 2, 4, 6, 12, or 24 mo of age, and slices of semitendinosus muscle were removed. Muscle structure characteristics were determined by computerized image analysis. During growth, the muscle cross-sectional area enlarged (P or = 0.15) in bulls of German Angus and Galloway in all age groups and was doubled (P 0.05) during growth. This supports the existing view that the structure of the muscle is already fixed in prenatal life. The double-muscled Belgian Blue bulls showed a more than 2.5-fold greater (P < 0.001) number of muscle fibers per primary bundle compared with the other breeds investigated. The larger muscle fiber bundles led to a smaller amount of connective tissue per muscle area in double-muscled cattle. The coarser grain of meat in double-muscled Belgian Blue bulls and in older animals was not related to greater shear force values.
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- 2006
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6. Growth- and breed-related changes of marbling characteristics in cattle1
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F. Teuscher, K. Ender, J. Wegner, and Elke Albrecht
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Veterinary medicine ,business.industry ,Marbled meat ,biology.animal_breed ,Line length ,General Medicine ,Biology ,Galloway cattle ,Beef cattle ,Breed ,Animal science ,Belgian Blue ,Genetics ,Animal Science and Zoology ,Livestock ,Intramuscular fat ,business ,Food Science - Abstract
The objective of this study was to investigate the growth- and breed-related changes of marbling characteristics in cattle. Four cattle breeds with different growth impetus and muscularity were reared and slaughtered under experimental conditions. German Angus, as a typical beef cattle; Galloway, as a smaller, environmentally resistant beef cattle; Holstein-Friesian, as a dairy-type cattle; and double-muscled Belgian Blue, as an extreme type for muscle growth, were used. These 4 breeds were expected to have differences in muscle development and i.m. fat deposition. Between 5 and 15 bulls of each breed were slaughtered at 2, 4, 6, 12, or 24 mo of age. Marbling characteristics were determined and classified in LM and semitendinosus muscle by computerized image analysis. Among breeds, differences appeared in the quantity, structure, and distribution of the marbling flecks in both muscles. The deposition of fat in the double-muscled Belgian Blue bulls remained substantially inferior to that of the other breeds, up to the age of 24 mo. Marbling in German Angus bulls particularly showed larger (P < 0.05) marbling fleck areas. Galloway cattle had the greatest (P < 0.05) number and the most regular (P < 0.05) distribution of the marbling flecks in young animals. Furthermore, for marbling characteristics in Holstein-Friesian animals, a great number and slightly finer structure were observed compared with the other breeds investigated. Postnatal growth-related changes of marbling in LM were characterized by as much as a 40-fold increase in the number of marbling flecks from 2 to 24 mo of age but also by up to a 4-fold enlargement in the area of the marbling flecks. The structure of marbling flecks was determined by 2 development trends. On the one hand, the marbling flecks became larger (P < 0.05), and the structure became coarser, which was reflected by an increasing (P < 0.01) proportion of long marbling flecks as well as an increasing (P < 0.01) maximum skeleton line length. On the other hand, continually new small, round marbling flecks appeared. This caused a decrease (P < 0.01) in the proportion of the 3 largest marbling fleck areas. The distribution of the marbling flecks became more regular (P < 0.05) with increasing proportion and number of marbling flecks. The results suggest that hyperplasia of adipocytes plays an important role in marbling during growth of muscle in cattle.
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- 2006
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7. Application of computer image analysis to measure pork marbling characteristics
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F. Teuscher, Claude Gariépy, Luigi Faucitano, P Huff, and J. Wegner
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Longissimus ,Animal science ,Marbled meat ,Computer image ,Large white ,Intramuscular fat ,Food Science ,Mathematics - Abstract
Sixty longissimus (L) muscle chops were selected according to marbling score in order to develop a technique for the quantitative description of marbling fat by means of computer image analysis (CIA) and study its relationship with intramuscular fat content and shear force variation in pork. L muscle samples were taken from gilts belonging to three genetic lines differing in carcass leanness, namely Large White (LW), Meishan-derived dam line (M) and Synthetic Genex 3000 (SG). SG gilts had leaner loins (P
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- 2005
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8. Beef versus dairy cattle: a comparison of metabolically relevant hormones, enzymes, and metabolites
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Klaus Ender, O. Bellmann, J. Wegner, F. Schneider, J. Weingärtner, Helga Sauerwein, M. Derno, C. Rehfeldt, F. Teuscher, and J. Voigt
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medicine.medical_specialty ,General Veterinary ,Chemistry ,Insulin ,medicine.medical_treatment ,Leptin ,Beef cattle ,Glucagon ,Endocrinology ,medicine.anatomical_structure ,Internal medicine ,Lactation ,medicine ,Animal Science and Zoology ,Dairy cattle ,Ultradian rhythm ,Hormone - Abstract
In Charolais (CH) as beef and German Holstein (H) as dairy cattle, differences in concentrations of hormones regulating partitioning of nutrients, are expected. Charolais (n=13) and Holstein (n=12) bulls 9 months of age were fed every 4 h. Blood samples were taken every 20 min over 6 h. The average plasma concentration of growth hormone (GH) did not differ, but differences in pulse frequency (CH 4.7 pulses/6 h, S.D. 0.9; H 3.5 pulses/6 h, S.D. 1.2, P=0.011) and amplitude were observed (CH 6.3 ng/ml, S.D. 2.8; H 10.1 ng/ml, S.D. 4.7, P=0.026). Plasma concentrations of insulin, glucagon, and leptin also differed (insulin: CH 18.7 μU/ml, S.E. 1.7; H 28.1 μU/ml, S.E. 1.7, P
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- 2004
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9. Muscle characteristics and corresponding hormone concentrations in different types of cattle
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F. Schneider, O. Bellmann, Klaus Ender, J. Wegner, and F. Teuscher
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medicine.medical_specialty ,General Veterinary ,Insulin ,medicine.medical_treatment ,Leptin ,Metabolism ,Biology ,Glucagon ,Muscle hypertrophy ,Endocrinology ,Internal medicine ,medicine ,Animal Science and Zoology ,medicine.symptom ,Semitendinosus muscle ,Weight gain ,Hormone - Abstract
Ruminants transform feed components preferentially in body mass or milk. The accretion type of cattle are apt in accreting feed as meat and fat, while the secretion type of cattle secrete metabolised feed as milk. The objective of this study was to investigate the growth- and type-related differences in muscle fibers, adipocytes, and hormones in two metabolic types of cattle. Biopsy samples of semitendinosus muscle and blood were taken at 6, 8, 10, 13, and 16 months of age from 13 bulls of each metabolic type (Charolais—CH, German Holstein—H). Postnatal growth was characterized by a nearly 2-fold increase in muscle fiber area, while a constant fiber type frequency was observed. Differences in the growth potential between CH and H bulls were not only found in a higher daily weight gain or higher weight for CH cattle, but were also caused by stronger muscle fiber growth in that cattle type. The higher muscle growth potential of CH was accompanied by lower fat accretion and metabolically linked with lower plasma concentrations of insulin, glucagon, and leptin. The amount of subcutaneous adipose tissue was directly correlated with leptin in CH and with insulin and glucagon in H bulls.
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- 2004
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10. Comparing mRNA levels of genes encoding leptin, leptin receptor, and lipoprotein lipase between dairy and beef cattle
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O. Bellmann, J. Wegner, F. Teuscher, Gudrun A. Brockmann, Falk Schneider, Klaus Ender, and Mingqiang Ren
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Leptin ,Male ,medicine.medical_specialty ,Receptors, Cell Surface ,Beef cattle ,Biology ,Adipose capsule of kidney ,Endocrinology ,Food Animals ,Internal medicine ,medicine ,Animals ,Insulin ,RNA, Messenger ,Dairy cattle ,Lipoprotein lipase ,Leptin receptor ,Reverse Transcriptase Polymerase Chain Reaction ,Body Weight ,Radioimmunoassay ,Lipoprotein Lipase ,Adipose Tissue ,Hypothalamus ,Body Composition ,Receptors, Leptin ,Cattle ,Female ,Animal Science and Zoology ,hormones, hormone substitutes, and hormone antagonists - Abstract
Body weight and fat mass vary distinctly between German Holstein (dairy cattle) and Charolais (beef cattle). The aim of this study was to determine whether the expression of the obese (Ob) gene and lipoprotein lipase (LPL) gene in fat tissues and expression of the long isoform leptin receptor (Ob-Rb) gene in the hypothalamus were different between these two cattle breeds. Body weight and the area of longissimus muscle cross-section of German Holstein were lower (P
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- 2002
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11. Comparison of methods used for recovering the line origin of alleles in a cross between outbred lines
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H. H. Swalve, F. Teuscher, Y. S. Aulchenko, and V. Guiard
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Genetic Markers ,Pedigree chart ,Markov chain Monte Carlo ,General Medicine ,Quantitative trait locus ,Markov Chains ,symbols.namesake ,Quantitative Trait, Heritable ,Statistics ,Genotype ,Linear regression ,Line (geometry) ,Animals, Outbred Strains ,Genetics ,symbols ,Animals ,Computer Simulation ,Allele ,Monte Carlo Method ,Allele frequency ,Crosses, Genetic ,Mathematics - Abstract
Here, we introduce the idea of probabilities of line origins for alleles in general pedigrees as found in crosses between outbred lines. We also present software for calculating these probabilities. The proposed algorithm is based on the linear regression method of Haley, Knott and Elsen (1994) combined with the Markov chain Monte Carlo (MCMC) method for estimating quantitative trait locus coefficients used as regressors. We compared the relative precision of our method and the original method as proposed by Haley et al. (1994). The scenarios studied varied in the allelic distribution of marker alleles in parental lines and in the frequency of missing marker genotypes. We found that the MCMC method achieves a higher accuracy in all scenarios considered. The benefits of using MCMC approximation are substantial if the frequency of missing marker data is high or the number of marker alleles is low and the allelic frequency distribution is similar in both parental lines.
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- 2002
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12. Relationship of plasma leptin concentration to intramuscular fat content in beef from crossbred Wagyu cattle
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Randall J. Weselake, F. Teuscher, F. Schneider, K. Ender, J. Wegner, Changping Xie, Z. Mir, Priya S. Mir, E. C. Kazala, and Phillip W Huff
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Animal science ,Longissimus ,Food Animals ,Leptin ,Marbled meat ,Animal Science and Zoology ,Intramuscular fat ,Biology ,Beef cattle ,Crossbreed ,Wagyu cattle ,Pars costalis diaphragmatis - Abstract
Plasma leptin concentrations and beef cattle carcass characteristics in eight Continental Crossbred steers [0% Wagyu Cattle (WC)] were compared to crossbred cattle with 50 and 75% WC (eight steers each) genetic makeup to determine if a relationship exists between plasma leptin concentrations and intramuscular fat content (marbling) in beef cattle. Plasma leptin concentrations were measured at two stages of cattle growth, 16 and 4 wk prior to slaughter (W P S). Beef cattle characteristics including marbling score, ribeye area, i.m. total lipid content, and backfat depth were determined, and correlation coefficients obtained between these traits and leptin concentration at both sampling dates. Plasma leptin concentrations increased relative to the lipid content in the 24 steers based on the significant positive correlation observed between plasma leptin and total lipids (% wet weight) from both pars costalis diaphragmatis (p.c.d.)(16 WPS: r = 0.69, P = 0.0004; 4 WPS: r = 0.35, P = 0.104) and longissimus (16 WPS: r = 0.59, P = 0.002; 4 WPS: r = 0.51, P = 0.011) muscles. A trend was observed, however, at 4 WPS when the groups of varying Wagyu genetics were compared. Plasma leptin was positively correlated with muscle lipid content for the 0% Wagyu cattle (longissimus: r = 0.62, P = 0.103; p.c.d.:r = 0.40, P = 0.410)but there was almost no correlation in these parameters for the 50% WC (longissimus: r = 0.11, P = 0.797; p.c.d.: r = 0.005, P = 0.990). Plasma leptin concentration was negatively correlated with lipid content in the 75% WC (longissimus: r = –0.60, P = 0.120; p.c.d.: r = –0.65, P = 0.164). The results suggest that increasing Wagyu genetics negates any relationship between leptin concentrations and i.m. fat content in cattle. Key words: Wagyu crossbred cattle, meat quality, intramuscular fat, marbling, leptin
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- 2001
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13. Differential immunodiagnosis between cystic hydatid disease and other cross-reactive pathologies
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E Felleisen, F Teuscher, C Zuercher, D Poretti, Jürg Reichen, Marc Pfister, Felix Grimm, and Bruno Gottstein
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Male ,Pathology ,medicine.medical_specialty ,Immunoblotting ,Helminthiasis ,Enzyme-Linked Immunosorbent Assay ,Disease ,Cross Reactions ,Sensitivity and Specificity ,Serology ,Diagnosis, Differential ,Antigen ,Echinococcosis ,Agglutination Tests ,Virology ,parasitic diseases ,Taenia solium ,medicine ,Humans ,Serologic Tests ,Echinococcus granulosus ,Immunoassay ,biology ,medicine.diagnostic_test ,business.industry ,Middle Aged ,biology.organism_classification ,Precipitin ,medicine.disease ,Precipitin Tests ,medicine.drug_formulation_ingredient ,Infectious Diseases ,Immunology ,Female ,Parasitology ,business - Abstract
We assessed an Echinococcus granulosus hydatid fluid antigen-ELISA (EgHF-ELISA) as a serologic prescreening test for E. granulosus infections, supplemented by more specific confirmatory tests, including arc-5 immunoprecipitation and antigen B subunit 8-kD immunoblotting. The diagnostic sensitivity of the EgHF-ELISA was 91%. With regard to the test specificity of the EgHF-ELISA (overall = 82%), we observed relatively frequent cross-reactions in tumor patients (6%) and in patients with other parasitic diseases. Cestode-related cross-reactivity can be resolved by the complementary use of E. multilocularis-specific antigens or Taenia solium cysticercosis-specific immunoblotting. Immunoblotting based upon the detection of antibody reactivity to the 8-kD antigen of EgHF, or if appropriately detectable, to the 29-kD and 34-kD bands exhibited a 91% diagnostic sensitivity and an overall specificity of 97% or 94%, respectively. Thus, immunoblotting provided a 99% discrimination between seropositive pre-operative cystic hydatid disease cases and cross-reactive non-cestode parasitic infections or malignancies.
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- 1999
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14. The Prior Distribution of the Minimum and Maximum Distance between Several Marker Loci and Quantitative Trait Loci
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A. Tuchscherer and F. Teuscher
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Statistics and Probability ,Minimum distance ,Locus (genetics) ,General Medicine ,Quantitative trait locus ,Quantitative Biology::Genomics ,Genome ,Combinatorics ,Genetic marker ,Statistics ,Prior probability ,Quantitative Biology::Populations and Evolution ,Statistics, Probability and Uncertainty ,Mathematics - Abstract
In order to control linkage experiments, exact formulas and approximations are derived for the minimum distance between quantitative trait loci and the nearest marker locus. The locations of the loci are assumed to be uniformly distributed over the genome. The locations of the marker loci may be known or unknown. The number and length of the chromosomes are arbitrary and therefore the results are applicable for all kinds of species. Analogous formulas are derived for the maximum distance between the quantitative trait loci and the nearest marker loci. For the probability of linkage more simple expressions are derived. The accuracy of the approximations is checked by a simulation.
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- 1997
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15. Detection of QTL for body weight and body fat content in mice using genetic markers
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G. Freyer, C. Kühn, D. Timtchenko, S. Kuhla, Gudrun A. Brockmann, J. Wolf, F. Teuscher, U. Renne, Manfred Schwerin, and Paramananda Das
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Genetics ,Candidate gene ,Food Animals ,Chromosome 3 ,Genetic marker ,Genetic linkage ,Microsatellite ,Chromosome ,Animal Science and Zoology ,General Medicine ,Allele ,Quantitative trait locus ,Biology - Abstract
Summary The aim of the project was the identification of quantitative trait loci (QTL) for body weight and body fat content. Using selected (Du6, Du6P) and randomly mated (DuKs) mouse lines with differences in body weight and abdominal fat content up to 100%, the study was carried out in three steps: (1) Line specific alleles were detected for DNA fingerprint banding patterns and equally spaced microsatellite markers. (2) Linkage analysis was performed in informative families generated by crosses between the lines to prove if the line specific allele distribution at single loci is the result of the selection process. The Maximum Likelihood test statistic (MLS) provided evidence for a QTL effecting growth on chromosome 11 (MLS = 7.6). A QTL responsible for abdominal fat content may be suggested on chromosome 3 (MLS = 2.7). (3) Expression analysis of the putative candidate genes Gh and Ap2 in the chromosomal regions with effect on the trait differentiation revealed no differences between the lines. Differences in the tissue specific gene expression levels between the lines were detected for the Gpd and the Igfl-genes. Zusammenfassung Nachweis von QTL fur Korpermasse und Fettansatz in Mausen unter Verwendung von genetischen Markern Mit den Untersuchungen wurde das Ziel verfolgt, quantitative Merkmalsorte (QTL) fur den Merkmalskomplex Korpergewicht und Fettansatz zu identifizieren. Unter Verwendung von selektierten (Du6, Du6P) und zufallsgepaarten (DuKs) Mauslinien, die sich in der Korpermasse und im Fettansatz bis zu 100% unterschieden, wurde die Studie in drei Schritten durchgefuhrt: (1) Mittels DNA Fingerprinting und Microsatellitenmarkern wurden im gesamten Genom Loci mit linientypischer Allelverteilung identifiziert. (2) In Kopplungsanalysen innerhalb informativer Familien aus Kreuzungen zwischen den Linien wurde getestet, ob die linientypischen Allele auf die Selektion zuruckzufuhren sind. Auf dem Chromosom 11 wurde ein QTL fur Korpermasse (MLS = 7.6) und auf dem Chromosom 3 mit hoher Wahrscheinlichkeit ein QTL fur Fettansatz (MLS = 2.7) identifiziert. (3) Die Analyse des Gh- und Ap2 Genes als putative Kandidatengene in den identifizierten Chromosomenregionen mit Effekt auf die Merkmalsauspragung zeigte keine Unterschiede. Gewebespezifische Unterschiede in der Genexpression wurden zwischen den Linien im Gpd- und Igf1-Gen nachgewiesen.
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- 1996
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16. Evaluation of different markers for determination of the microbial nitrogen flow into the duodenum of dairy cows
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Jürgen Voigt, F. Teuscher, F. Kreienbring, and U. Schönhusen
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Rumen ,Duodenum ,Nitrogen ,Forage ,Diaminopimelic Acid ,Poaceae ,chemistry.chemical_compound ,Animal science ,medicine ,Animals ,Amino Acids ,Silage ,Meal ,Alanine ,Nitrogen Isotopes ,biology ,food and beverages ,biology.organism_classification ,Animal Feed ,Meat and bone meal ,Kinetics ,medicine.anatomical_structure ,chemistry ,Biochemistry ,Isotope Labeling ,Urea ,RNA ,Cattle ,Female ,Animal Science and Zoology ,Diaminopimelic acid ,Bacteria - Abstract
2,6-Diaminopimelic acid (DAPA), ribonucleic acid (RNA), 15N, D-alanine (D-ALA) and the amino acid profiles (AAP) were compared as microbial markers for determination of the microbial protein synthesis in the rumen. Three dairy cows (Schwarzbuntes Milchrind, LW 602 kg), each fitted with a rumen cannula and a re-entrant cannula in the proximal duodenum, were offered four isoenergetic and isonitrogenous diets (mean daily intake 15.0 +/- 0.45 kg DM; forage: concentrate = 50:50) in a periodic experiment. The diets contained soyabean extracted meal, meat and bone meal, pea meal and dried clover as major sources of protein. On the 4th day after administration of 9 g 15N-labelled urea (95 atom-% 15N-excess) per day, samples of rumen fluid and duodenal digesta were obtained 3 h after feeding. The bacteria were isolated by differential centrifugation. Bacteria harvested from the rumen had significantly higher 15N enrichment and D-ALA: N ratio than 'duodenal' bacteria. However, DAPA: N ratio was higher in 'duodenal' bacteria compared to rumen bacteria. There were no differences in RNA: N ratio between rumen and 'duodenal' bacteria. The source of the bacteria in the digestive tract has an influence on the ratio of microbial N: total N, especially when 15N, AAP, DAPA and D-ALA but not RNA were used as markers. The most reproducible method was D-ALA (C.V. 4.7 for rumen and 6.8 for 'duodenal' bacteria) followed by 15N (10.8 resp. 4.8) and RNA (9.7 resp. 8.2). The results obtained with 15N and D-ALA agreed closely at the same source of bacteria. The RNA method reached the level of these markers (15N, D-ALA) when the bacteria were isolated from the duodenum. It is concluded that D-ALA (bacteria isolated from rumen and duodenum) and also 15N (bacteria isolated from duodenum) were the best markers for estimation of the microbial protein synthesis.
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- 1995
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17. Sharp inequalities between skewness and kurtosis for unimodal distributions
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V. Guiard and F. Teuscher
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Statistics and Probability ,symbols.namesake ,Distribution (mathematics) ,Skewness ,Mathematical analysis ,symbols ,Kurtosis ,Pearson distribution ,Statistics, Probability and Uncertainty ,Upper and lower bounds ,Shape parameter ,Unimodality ,Mathematics - Abstract
The sharp upper bound of the kurtosis γ2 is derived for unimodal standardized distributions with skewness γ1 and support [a, b].
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- 1995
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18. Calculation of identity-by-descent probabilities of short chromosome segments
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A, Tuchscherer, F, Teuscher, and N, Reinsch
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Models, Genetic ,Inheritance Patterns ,Animals ,Inbreeding ,Alleles ,Chromosomes ,Probability - Abstract
For some purposes, identity-by-descent (IBD) probabilities for entire chromosome segments are required. Making use of pedigree information, length of the segment and the assumption of no crossing-over, a generalization of a previously published graph theory oriented algorithm accounting for nonzero IBD of common ancestors is given, which can be viewed as method of path coefficients for entire chromosome segments. Furthermore, rules for setting up a gametic version of a segmental IBD matrix are presented. Results from the generalized graph theory oriented method, the gametic segmental IBD matrix and the segmental IBD matrix for individuals are identical.
- Published
- 2012
19. The Estimation of Skewness and Kurtosis of Random Effects in the Linear Model
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Volker Guiard, G. Herrendörfer, and F. Teuscher
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Statistics and Probability ,Mixed model ,Skewness ,Jarque–Bera test ,Statistics ,Linear model ,Kurtosis ,General Medicine ,Statistics, Probability and Uncertainty ,Random effects model ,Shape parameter ,D'Agostino's K-squared test ,Mathematics - Abstract
Generalising the ANOVA method of estimating variance components in mixed linear models a simple procedure is presented to estimate skewness and kurtosis of the distributions of the random effects of the model. For the model II of a one-way classification this procedure is demonstrated explicitly.
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- 1994
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20. Analysis of birth weight variability in pigs with respect to liveborn and total born offspring
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D, Wittenburg, V, Guiard, F, Teuscher, and N, Reinsch
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Male ,Sex Factors ,Animals, Newborn ,Swine ,Linear Models ,Animals ,Birth Weight ,Female - Abstract
Reduction in the variability of piglet birth weight within litter and increased piglet survival are key objective in schemes aiming to improve sow prolificacy. In previous studies, variation in birth weight was described by the sample standard deviation of birth weights within one litter, and the genetic impact has been proved. In this study, we additionally considered the sex effect on piglet's birth weight and on its variability. The sample variance of birth weights per litter separated by sex was assigned as a trait of the sow. Different transformations of the trait were fitted by linear and generalized linear mixed models. Based on 1111 litters from Landrace sows, the estimates of heritability for the different measures ranged from 11 to 12%. We analysed the influence of including birth weight of stillborn piglets on the variability of birth weight within litter. With omitted stillborns, the heritability was estimated approximately 2% higher than that in investigations of all born piglets, and the impact of sex on birth weight variability was increased. Because the proportion of intrapartum deaths is rather high, it is recommended to consider the total number of piglets born per litter when analysing birth weight variation.
- Published
- 2011
21. Photon reconstruction in the ATLAS Inner Detector and Liquid Argon Barrel Calorimeter at the 2004 Combined Test Beam
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Abat, E. Abdallah, J. M. Addy, T. N. Adragna, P. and Aharrouche, M. Ahmad, A. Akesson, T. P. A. Aleksa, M. and Alexa, C. Anderson, K. Andreazza, A. Anghinolfi, F. and Antonaki, A. Arabidze, G. Arik, E. Atkinson, T. Baines, J. Baker, O. K. Banfi, D. Baron, S. Barr, A. J. and Beccherle, R. Beck, H. P. Belhorma, B. Bell, P. J. and Benchekroun, D. Benjamin, D. P. Benslama, K. Kuutmann, E. Bergeaas Bernabeu, J. Bertelsen, H. Binet, S. Biscarat, C. Boldea, V. Bondarenko, V. G. Boonekamp, M. Bosman, M. and Bourdarios, C. Broklova, Z. Chromek, D. Burckhart and Bychkov, V. Callahan, J. Calvet, D. Canneri, M. Garrido, M. Capeans Caprini, M. Sas, L. Cardiel Carli, T. and Carminati, L. Carvalho, J. Cascella, M. Castillo, M. V. and Catinaccio, A. Cauz, D. Cavalli, D. Sforza, M. Cavalli and Cavasinni, V. Cetin, S. A. Chen, H. Cherkaoui, R. and Chevalier, L. Chevallier, F. Chouridou, S. Ciobotaru, M. and Citterio, M. Clark, A. Cleland, B. Cobal, M. Cogneras, E. Muino, P. Conde Consonni, M. Constantinescu, S. and Cornelissen, T. Correard, S. Radu, A. Corso Costa, G. and Costa, M. J. Costanzo, D. Cuneo, S. Cwetanski, P. Da Silva, D. Dam, M. Dameri, M. Danielsson, H. O. Dannheim, D. Darbo, G. Davidek, T. De, K. Defay, P. O. and Dekhissi, B. Del Peso, J. Del Prete, T. Delmastro, M. and Derue, F. Di Ciaccio, L. Di Girolamo, B. Dita, S. and Dittus, F. Djama, F. Djobava, T. Dobos, D. Dobson, M. and Dolgoshein, B. A. Dotti, A. Drake, G. Drasal, Z. and Dressnandt, N. Driouchi, C. Drohan, J. Ebenstein, W. L. and Eerola, P. Efthymiopoulos, I. Egorov, K. Eifert, T. F. and Einsweiler, K. El Kacimi, M. Elsing, M. Emelyanov, D. and Escobar, C. Etienvre, A. I. Fabich, A. Facius, K. and Fakhr-Edine, A. I. Fanti, M. Farbin, A. Farthouat, P. and Fassouliotis, D. Fayard, L. Febbraro, R. Fedin, O. L. and Fenyuk, A. Fergusson, D. Ferrari, P. Ferrari, R. and Ferreira, B. C. Ferrer, A. Ferrere, D. Filippini, G. and Flick, T. Fournier, D. Francavilla, P. Francis, D. and Froeschl, R. Froidevaux, D. Fullana, E. Gadomski, S. and Gagliardi, G. Gagnon, P. Gallas, M. Gallop, B. J. and Gameiro, S. Gan, K. K. Garcia, R. Garcia, C. Gavrilenko, I. L. Gemme, C. Gerlach, P. Ghodbane, N. Giakoumopoulou, V. Giangiobbe, V. Giokaris, N. Glonti, G. Goettfert, T. and Golling, T. Gollub, N. Gomes, A. Gomez, M. D. and Gonzalez-Sevilla, S. Goodrick, M. J. Gorfine, G. Gorini, B. and Goujdami, D. Grahn, K-J. Grenier, P. Grigalashvili, N. and Grishkevich, Y. Grosse-Knetter, J. Gruwe, M. Guicheney, C. Gupta, A. Haeberli, C. Haertel, R. Hajduk, Z. and Hakobyan, H. Hance, M. Hansen, J. D. Hansen, P. H. Hara, K. Harvey, Jr., A. Hawkings, R. J. Heinemann, F. E. W. and Correia, A. Henriques Henss, T. Hervas, L. Higon, E. and Hill, J. C. Hoffman, J. Hostachy, J. Y. Hruska, I. and Hubaut, F. Huegging, F. Hulsbergen, W. Hurwitz, M. and Iconomidou-Fayard, L. Jansen, E. Jen-La Plante, I. and Johansson, P. D. C. Jon-And, K. Joos, M. Jorgensen, S. and Joseph, J. Kaczmarska, A. Kado, M. Karyukhin, A. and Kataoka, M. Kayumov, F. Kazarov, A. Keener, P. T. and Kekelidze, G. D. Kerschen, N. Kersten, S. Khomich, A. and Khoriauli, G. Khramov, E. Khristachev, A. Khubua, J. and Kittelmann, T. H. Klingenberg, R. Klinkby, E. B. Kodys, P. and Koffas, T. Kolos, S. Konovalov, S. P. Konstantinidis, N. and Kopikov, S. Korolkov, I. Kostyukhin, V. Kovalenko, S. and Kowalski, T. Z. Krueger, K. Kramarenko, V. Kudin, L. G. and Kulchitsky, Y. Lacasta, C. Lafaye, R. Laforge, B. and Lampl, W. Lanni, F. Laplace, S. Lari, T. Le Bihan, A-C. and Lechowski, M. Ledroit-Guillon, F. Lehmann, G. Leitner, R. Lelas, D. Lester, C. G. Liang, Z. Lichard, P. and Liebig, W. Lipniacka, A. Lokajicek, M. Louchard, L. and Loureiro, K. F. Lucotte, A. Luehring, F. Lund-Jensen, B. and Lundberg, B. Ma, H. Mackeprang, R. Maio, A. Maleev, V. P. Malek, F. Mandelli, L. Maneira, J. Mangin-Brinet, M. and Manousakis, A. Mapelli, L. Marques, C. Marti i Garcia, S. Martin, F. Mathes, M. Mazzanti, M. McFarlane, K. W. and McPherson, R. Mchedlidze, G. Mehlhase, S. Meirosu, C. and Meng, Z. Meroni, C. Mialkovski, V. Mikulec, B. and Milstead, D. Minashvili, I. Mindur, B. Mitsou, V. A. and Moed, S. Monnier, E. Moorhead, G. Morettini, P. Morozov, S. V. Mosidze, M. Mouraviev, S. V. Moyse, E. W. J. and Munar, A. Myagkov, A. Nadtochi, A. V. Nakamura, K. and Nechaeva, P. Negri, A. Nemecek, S. Nessi, M. Nesterov, S. Y. Newcomer, F. M. Nikitine, I. Nikolaev, K. and Nikolic-Audit, I. Ogren, H. Oh, S. H. Oleshko, S. B. and Olszowska, J. Onofre, A. Aranda, C. Padilla Paganis, S. and Pallin, D. Pantea, D. Paolone, V. Parodi, F. Parsons, J. and Parzhitskiy, S. Pasqualucci, E. Passmored, S. M. Pater, J. Patrichev, S. Peez, M. Reale, V. Perez Perini, L. and Peshekhonov, V. D. Petersen, J. Petersen, T. C. Petti, R. and Phillips, P. W. Pilcher, J. Pina, J. Pinto, B. and Podlyski, F. Poggioli, L. Poppleton, A. Poveda, J. and Pralavorio, P. Pribyl, L. Price, M. J. Prieur, D. and Puigdengoles, C. Puzo, P. Ragusa, F. Rajagopalan, S. and Reeves, K. Reisinger, I. Rembser, C. de Renstrom, P. A. Bruckman Reznicek, P. Ridel, M. Risso, P. Riu, I. and Robinson, D. Roda, C. Roe, S. Rohne, O. Romaniouk, A. and Rousseau, D. Rozanov, A. Ruiz, A. Rusakovich, N. and Rust, D. Ryabov, Y. F. Ryjov, V. Salto, O. Salvachua, B. and Salzburger, A. Sandaker, H. Rios, C. Santamarina Santi, L. Santoni, C. Saraiva, J. G. Sarri, F. Sauvage, G. and Says, L. P. Schaefer, M. Schegelsky, V. A. Schiavi, C. and Schieck, J. Schlager, G. Schlereth, J. Schmitt, C. and Schultes, J. Schwemling, P. Schwindling, J. Seixas, J. M. and Seliverstov, D. M. Serin, L. Sfyrla, A. Shalanda, N. and Shaw, C. Shin, T. Shmeleva, A. Silva, J. Simion, S. and Simonyan, M. Sloper, J. E. Smirnov, S. Yu. Smirnova, L. and Solans, C. Solodkov, A. Solovianov, O. Soloviev, I. and Sosnovtsev, V. V. Spano, F. Speckmayer, P. Stancu, S. and Stanek, R. Starchenko, E. Straessner, A. Suchkov, S. I. and Suk, M. Szczygiel, R. Tarrade, F. Tartarelli, F. Tas, P. and Tayalati, Y. Tegenfeldt, F. Teuscher, R. Thioye, M. and Tikhomirov, V. O. Timmermans, C. J. W. P. Tisserant, S. and Toczek, B. Tremblet, L. Troncon, C. Tsiareshka, P. and Tyndel, M. Unel, M. Karagoez Unal, G. Unel, G. Usai, G. and Van Berg, R. Valero, A. Valkar, S. Valls, J. A. and Vandelli, W. Vannucci, F. Vartapetian, A. Vassilakopoulos, V. I. Vasilyeva, L. Vazeille, F. Vernocchi, F. and Vetter-Cole, Y. Vichou, I. Vinogradov, V. Virzi, J. and Vivarelli, I. de Vivie, J. B. Volpi, M. Anh, T. Vu Wang, C. Warren, M. Weber, J. Weber, M. Weidberg, A. R. and Weingarten, J. Wells, P. S. Werner, P. Wheeler, S. and Wiessmann, M. Wilkens, H. Williams, H. H. Wingerter-Seez, I. and Yasu, Y. Zaitsev, A. Zenin, A. Zenis, T. Zenonos, Z. and Zhang, H. Zhelezkobk, A. Zhou, N.
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Physics::Instrumentation and Detectors ,High Energy Physics::Experiment - Abstract
The reconstruction of photons in the ATLAS detector is studied with data taken during the 2004 Combined Test Beam, where a full slice of the ATLAS detector was exposed to beams of particles of known energy at the CERN SPS. The results presented show significant differences in the longitudinal development of the electromagnetic shower between converted and unconverted photons as well as in the total measured energy. The potential to use the reconstructed converted photons as a means to precisely map the material of the tracker in front of the electromagnetic calorimeter is also considered. All results obtained are compared with a detailed Monte-Carlo simulation of the test-beam setup which is based on the same simulation and reconstruction tools as those used for the ATLAS detector itself.
- Published
- 2011
22. A layer correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test
- Author
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Abat, E. Abdallah, J.M. Addy, T.N. Adragna, P. Aharrouche, M. Ahmad, A. Akesson, T.P.A. Aleksa, M. Alexa, C. Anderson, K. Andreazza, A. Anghinolfi, F. Antonaki, A. Arabidze, G. Arik, E. Atkinson, T. Baines, J. Baker, O.K. Banfi, D. Baron, S. Barr, A.J. Beccherle, R. Beck, H.P. Belhorma, B. Bell, P.J. Benchekroun, D. Benjamin, D.P. Benslama, K. Bergeaas Kuutmann, E. Bernabeu, J. Bertelsen, H. Binet, S. Biscarat, C. Boldea, V. Bondarenko, V.G. Boonekamp, M. Bosman, M. Bourdarios, C. Broklova, Z. Burckhart Chromek, D. Bychkov, V. Callahan, J. Calvet, D. Canneri, M. Capéans Garrido, M. Caprini, M. Cardiel Sas, L. Carli, T. Carminati, L. Carvalho, J. Cascella, M. Castillo, M.V. Catinaccio, A. Cauz, D. Cavalli, D. Cavalli Sforza, M. Cavasinni, V. Cetin, S.A. Chen, H. Cherkaoui, R. Chevalier, L. Chevallier, F. Chouridou, S. Ciobotaru, M. Citterio, M. Clark, A. Cleland, B. Cobal, M. Cogneras, E. Conde Muino, P. Consonni, M. Constantinescu, S. Cornelissen, T. Correard, S. Corso Radu, A. Costa, G. Costa, M.J. Costanzo, D. Cuneo, S. Cwetanski, P. Da Silva, D. Dam, M. Dameri, M. Danielsson, H.O. Dannheim, D. Darbo, G. Davidek, T. De, K. Defay, P.O. Dekhissi, B. Del Peso, J. Del Prete, T. Delmastro, M. Derue, F. Di Ciaccio, L. Di Girolamo, B. Dita, S. Dittus, F. Djama, F. Djobava, T. Dobos, D. Dobson, M. Dolgoshein, B.A. Dotti, A. Drake, G. Drasal, Z. Dressnandt, N. Driouchi, C. Drohan, J. Ebenstein, W.L. Eerola, P. Efthymiopoulos, I. Egorov, K. Eifert, T.F. Einsweiler, K. El Kacimi, M. Elsing, M. Emelyanov, D. Escobar, C. Etienvre, A.I. Fabich, A. Facius, K. Fakhr-Edine, A.I. Fanti, M. Farbin, A. Farthouat, P. Fassouliotis, D. Fayard, L. Febbraro, R. Fedin, O.L. Fenyuk, A. Fergusson, D. Ferrari, P. Ferrari, R. Ferreira, B.C. Ferrer, A. Ferrere, D. Filippini, G. Flick, T. Fournier, D. Francavilla, P. Francis, D. Froeschl, R. Froidevaux, D. Fullana, E. Gadomski, S. Gagliardi, G. Gagnon, P. Gallas, M. Gallop, B.J. Gameiro, S. Gan, K.K. Garcia, R. Garcia, C. Gavrilenko, I.L. Gemme, C. Gerlach, P. Ghodbane, N. Giakoumopoulou, V. Giangiobbe, V. Giokaris, N. Glonti, G. Goettfert, T. Golling, T. Gollub, N. Gomes, A. Gomez, M.D. Gonzalez-Sevilla, S. Goodrick, M.J. Gorfine, G. Gorini, B. Goujdami, D. Grahn, K.-J. Grenier, P. Grigalashvili, N. Grishkevich, Y. Grosse-Knetter, J. Gruwe, M. Guicheney, C. Gupta, A. Haeberli, C. Haertel, R. Hajduk, Z. Hakobyan, H. Hance, M. Hansen, J.D. Hansen, P.H. Hara, K. Harvey Jr., A. Hawkings, R.J. Heinemann, F.E.W. Henriques Correia, A. Henss, T. Hervas, L. Higon, E. Hill, J.C. Hoffman, J. Hostachy, J.Y. Hruska, I. Hubaut, F. Huegging, F. Hulsbergen, W. Hurwitz, M. Iconomidou-Fayard, L. Jansen, E. Jen-La Plante, I. Johansson, P.D.C. Jon-And, K. Joos, M. Jorgensen, S. Joseph, J. Kaczmarska, A. Kado, M. Karyukhin, A. Kataoka, M. Kayumov, F. Kazarov, A. Keener, P.T. Kekelidze, G.D. Kerschen, N. Kersten, S. Khomich, A. Khoriauli, G. Khramov, E. Khristachev, A. Khubua, J. Kittelmann, T.H. Klingenberg, R. Klinkby, E.B. Kodys, P. Koffas, T. Kolos, S. Konovalov, S.P. Konstantinidis, N. Kopikov, S. Korolkov, I. Kostyukhin, V. Kovalenko, S. Kowalski, T.Z. Krüger, K. Kramarenko, V. Kudin, L.G. Kulchitsky, Y. Lacasta, C. Lafaye, R. Laforge, B. Lampl, W. Lanni, F. Laplace, S. Lari, T. Le Bihan, A.-C. Lechowski, M. Ledroit-Guillon, F. Lehmann, G. Leitner, R. Lelas, D. Lester, C.G. Liang, Z. Lichard, P. Liebig, W. Lipniacka, A. Lokajicek, M. Louchard, L. Lourerio, K.F. Lucotte, A. Luehring, F. Lund-Jensen, B. Lundberg, B. Ma, H. Mackeprang, R. Maio, A. Maleev, V.P. Malek, F. Mandelli, L. Maneira, J. Mangin-Brinet, M. Manousakis, A. Mapelli, L. Marques, C. Garcia, S.M. Martin, F. Mathes, M. Mazzanti, M. McFarlane, K.W. McPherson, R. Mchedlidze, G. Mehlhase, S. Meirosu, C. Meng, Z. Meroni, C. Mialkovski, V. Mikulec, B. Milstead, D. Minashvili, I. Mindur, B. Mitsou, V.A. Moed, S. Monnier, E. Moorhead, G. Morettini, P. Morozov, S.V. Mosidze, M. Mouraviev, S.V. Moyse, E.W.J. Munar, A. Myagkov, A. Nadtochi, A.V. Nakamura, K. Nechaeva, P. Negri, A. Nemecek, S. Nessi, M. Nesterov, S.Y. Newcomer, F.M. Nikitine, I. Nikolaev, K. Nikolic-Audit, I. Ogren, H. Oh, S.H. Oleshko, S.B. Olszowska, J. Onofre, A. Padilla Aranda, C. Paganis, S. Pallin, D. Pantea, D. Paolone, V. Parodi, F. Parsons, J. Parzhitskiy, S. Pasqualucci, E. Passmored, S.M. Pater, J. Patrichev, S. Peez, M. Perez Reale, V. Perini, L. Peshekhonov, V.D. Petersen, J. Petersen, T.C. Petti, R. Phillips, P.W. Pina, J. Pinto, B. Podlyski, F. Poggioli, L. Poppleton, A. Poveda, J. Pralavorio, P. Pribyl, L. Price, M.J. Prieur, D. Puigdengoles, C. Puzo, P. Røhne, O. Ragusa, F. Rajagopalan, S. Reeves, K. Reisinger, I. Rembser, C. Bruckmande Renstrom, P.A. Reznicek, P. Ridel, M. Risso, P. Riu, I. Robinson, D. Roda, C. Roe, S. Rohne, O. Romaniouk, A. Rousseau, D. Rozanov, A. Ruiz, A. Rusakovich, N. Rust, D. Ryabov, Y.F. Ryjov, V. Salto, O. Salvachua, B. Salzburger, A. Sandaker, H. Santamarina Rios, C. Santi, L. Santoni, C. Saraiva, J.G. Sarri, F. Sauvage, G. Says, L.P. Schaefer, M. Schegelsky, V.A. Schiavi, C. Schieck, J. Schlager, G. Schlereth, J. Schmitt, C. Schultes, J. Schwemling, P. Schwindling, J. Seixas, J.M. Seliverstov, D.M. Serin, L. Sfyrla, A. Shalanda, N. Shaw, C. Shin, T. Shmeleva, A. Silva, J. Simion, S. Simonyan, M. Sloper, J.E. Smirnov, S.Yu. Smirnova, L. Solans, C. Solodkov, A. Solovianov, O. Soloviev, I. Sosnovtsev, V.V. Spaǹo, F. Speckmayer, P. Stancu, S. Stanek, R. Starchenko, E. Straessner, A. Suchkov, S.I. Suk, M. Szczygiel, R. Tarrade, F. Tartarelli, F. Tas, P. Tayalati, Y. Tegenfeldt, F. Teuscher, R. Thioye, M. Tikhomirov, V.O. Timmermans, C.J.W.P. Tisserant, S. Toczek, B. Tremblet, L. Troncon, C. Tsiareshka, P. Tyndel, M. Karagoez Unel, M. Unal, G. Unel, G. Usai, G. Van Berg, R. Valero, A. Valkar, S. Valls, J.A. Vandelli, W. Vannucci, F. Vartapetian, A. Vassilakopoulos, V.I. Vasilyeva, L. Vazeille, F. Vernocchi, F. Vetter-Cole, Y. Vichou, I. Vinogradov, V. Virzi, J. Vivarelli, I. De Vivie, J.B. Volpi, M. Vu Anh, T. Wang, C. Warren, M. Weber, J. Weber, M. Weidberg, A.R. Weingarten, J. Wells, P.S. Werner, P. Wheeler, S. Wiessmann, M. Wilkens, H. Williams, H.H. Wingerter-Seez, I. Yasu, Y. Zaitsev, A. Zenin, A. Zenis, T. Zenonos, Z. Zhang, H. Zhelezko, A. Zhou, N.
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Physics::Instrumentation and Detectors ,High Energy Physics::Experiment - Abstract
A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis of energy deposits in the calorimeter layers, exploiting longitudinal shower development information to improve the measured energy resolution. Corrections for invisible hadronic energy and energy lost in dead material in front of and between the calorimeters of the ATLAS experiment were calculated with simulated Geant4 Monte Carlo events and used to reconstruct the energy of pions impinging on the calorimeters during the 2004 Barrel Combined Beam Test at the CERN H8 area. For pion beams with energies between 20GeV and 180GeV, the particle energy is reconstructed within 3% and the energy resolution is improved by between 11% and 25% compared to the resolution at the electromagnetic scale. © 2011 CERN for the benefit of the ATLAS collaboration, published under license by IOP Publishing Ltd and SISSA.
- Published
- 2011
23. Combined performance studies for electrons at the 2004 ATLAS combined test-beam
- Author
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Abat, E. Abdallah, J.M. Addy, T.N. Adragna, P. Aharrouche, M. Ahmad, A. Akesson, T.P.A. Aleksa, M. Alexa, C. Anderson, K. Andreazza, A. Anghinolfi, F. Antonaki, A. Arabidze, G. Arik, E. Atkinson, T. Baines, J. Baker, O.K. Banfi, D. Baron, S. Barr, A.J. Beccherie, R. Beck, H.P. Belhorma, B. Bell, P.J. Benchekroun, D. Benjamin, D.P. Benslama, K. Kuutmann, E.B. Bernabeu, J. Bertelsen, H. Binet, S. Biscarat, C. Boldea, V. Bondarenko, V.G. Boonekamp, M. Bosman, M. Bourdarios, C. Broklova, Z. Chromek, D.B. Bychkov, V. Callahan, J. Calvet, D. Canneri, M. Garrido, M.C. Caprini, M. Sas, L.C. Carli, T. Carminati, L. Carvalho, J. Cascella, M. Castillo, M.V. Catinaccio, A. Cauz, D. Cavalli, D. Sforza, M.C. Cavasinni, V. Cetin, S.A. Chen, H. Cherkaoui, R. Chevalier, L. Chevallier, F. Chouridou, S. Ciobotaru, M. Citterio, M. Clark, A. Cleland, B. Cobal, M. Cogneras, E. Muino, P.C. Consonni, M. Constantinescu, S. Cornelissen, T. Correard, S. Radu, A.C. Costa, G. Costa, M.J. Costanzo, D. Cuneo, S. Cwetanski, P. Da Silva, D. Dam, M. Dameri, M. Danielsson, H.O. Dannheim, D. Darbo, G. Davidek, T. De, K. Defay, P.O. Dekhissi, B. Del Peso, J. Del Prete, T. Delmastro, M. Derue, F. Di Ciaccio, L. Di Girolamo, B. Dita, S. Dittus, F. Djama, F. Djobava, T. Dobos, D. Dobson, M. Dolgoshein, B.A. Dotti, A. Drake, G. Drasal, Z. Dressnandt, N. Driouchi, C. Drohan, J. Ebenstein, W.L. Eerola, P. Efthymiopoulos, I. Egorov, K. Eifert, T.F. Einsweiler, K. El Kacimi, M. Elsing, M. Emelyanov, D. Escobar, C. Etienvre, A.I. Fabich, A. Facius, K. Fakhr-Edine, A.I. Fanti, M. Farbin, A. Farthouat, P. Fassouliotis, D. Fayard, L. Febbraro, R. Fedin, O.L. Fenyuk, A. Fergusson, D. Ferrari, P. Ferrari, R. Ferreira, B.C. Ferrer, A. Ferrere, D. Filippini, G. Flick, T. Fournier, D. Francavilla, P. Francis, D. Froeschl, R. Froidevaux, D. Fullana, E. Gadomski, S. Gagliardi, G. Gagnon, P. Gallas, M. Gallop, B.J. Gameiro, S. Gan, K.K. Garcia, R. Garcia, C. Gavrilenko, I.L. Gemme, C. Gerlach, P. Ghodbane, N. Giakoumopoulou, V. Giangiobbe, V. Giokaris, N. Glonti, G. Goettfert, T. Golling, T. Gollub, N. Gomes, A. Gomez, M.D. Gonzalez-Sevilla, S. Goodrick, M.J. Gorfine, G. Gorini, B. Goujdami, D. Grahn, K-J. Grenier, P. Grigalashvili, N. Grishkevich, Y. Grosse-Knetter, J. Gruwe, M. Guicheney, C. Gupta, A. Haeberli, C. Haertel, R. Hajduk, Z. Hakobyan, H. Hance, M. Hansen, J.D. Hansen, P.H. Hara, K. Harvey Jr., A. Hawkings, R.J. Heinemann, F.E.W. Henriques Correia, A. Henss, T. Hervas, L. Higon, E. Hill, J.C. Hoffman, J. Hostachy, J.Y. Hruska, I. Hubaut, F. Huegging, F. Hulsbergen, W. Hurwitz, M. Iconomidou-Fayard, L. Jansen, E. Jen-La Plante, I. Johansson, P.D.C. Jon-And, K. Joos, M. Jorgensen, S. Joseph, J. Kaczmarska, A. Kado, M. Karyukhin, A. Kataoka, M. Kayumov, F. Kazarov, A. Keener, P.T. Kekelidze, G.D. Kerschen, N. Kersten, S. Khomich, A. Khoriauli, G. Khramov, E. Khristachev, A. Khubua, J. Kittelmann, T.H. Klingenberg, R. Klinkby, E.B. Kodys, P. Koffas, T. Kolos, S. Konovalov, S.P. Konstantinidis, N. Kopikov, S. Korolkov, I. Kostyukhin, V. Kovalenko, S. Kowalski, T.Z. Krüger, K. Kramarenko, V. Kudin, L.G. Kulchitsky, Y. Lacasta, C. Lafaye, R. Laforge, B. Lampl, W. Lanni, F. Laplace, S. Lari, T. Le Bihan, A.-C. Lechowski, M. Ledroit-Guillon, F. Lehmann, G. Leitner, R. Lelas, D. Lester, C.G. Liang, Z. Lichard, P. Liebig, W. Lipniacka, A. Lokajicek, M. Louchard, L. Lourerio, K.F. Lucotte, A. Luehring, F. Lund-Jensen, B. Lundberg, B. Ma, H. Mackeprang, R. Maio, A. Maleev, V.P. Malek, F. Mandelli, L. Maneira, J. Mangin-Brinet, M. Manousakis, A. Mapelli, L. Marques, C. Marti i Garcia, S. Martin, F. Mathes, M. Mazzanti, M. McFarlane, K.W. McPherson, R. Mchedlidze, G. Mehlhase, S. Meirosu, C. Merigo, Z. Meroni, C. Mialkovski, V. Mikulec, B. Milstead, D. Minashvili, I. Mindur, B. Mitsou, V.A. Moed, S. Monnier, E. Moorhead, G. Morettini, P. Morozov, S.V. Mosidze, M. Mouraviev, S.V. Moyse, E.W.J. Munar, A. Myagkov, A. Nadtochi, A.V. Nakamura, K. Nechaeva, P. Negri, A. Nemecek, S. Nessi, M. Nesterov, S.Y. Newcomer, F.M. Nikitine, I. Nikolaev, K. Nikolic-Audit, I. Ogren, H. Oh, S.H. Oleshko, S.B. Olszowska, J. Onofre, A. Aranda, C.P. Paganis, S. Pallin, D. Pantea, D. Paolone, V. Parodi, F. Parsons, J. Parzhitskiy, S. Pasqualucci, E. Passmored, S.M. Pater, J. Patrichev, S. Peez, M. Reale, V.P. Perini, L. Peshekhonov, V.D. Petersen, J. Petersen, T.C. Petti, R. Phillips, P.W. Pina, J. Pinto, B. Podlyski, F. Poggioli, L. Poppleton, A. Poveda, J. Pralavorio, P. Pribyl, L. Price, M.J. Prieur, D. Puigdengoles, C. Puzo, P. Røhne, O. Ragusa, F. Rajagopalan, S. Reeves, K. Reisinger, I. Rembser, C. De Renstrom, P.A.B. Reznicek, P. Ridel, M. Risso, P. Riu, I. Robinson, D. Roda, C. Roe, S. Rohne, O. Romaniouk, A. Rousseau, D. Rozanov, A. Ruiz, A. Rusakovich, N. Rust, D. Ryabov, Y.F. Ryjov, V. Salto, O. Salvachua, B. Salzburger, A. Sandaker, H. Rios, C.S. Santi, L. Santoni, C. Saraiva, J.G. Sarri, F. Sauvage, G. Says, L.P. Schaefer, M. Schegelsky, V.A. Schiavi, C. Schieck, J. Schlager, G. Schlereth, J. Schmitt, C. Schultes, J. Schwemling, P. Schwindling, J. Seixas, J.M. Seliverstov, D.M. Serin, L. Sfyrla, A. Shalanda, N. Shaw, C. Shin, T. Shmeleva, A. Silva, J. Simion, S. Simonyan, M. Sloper, J.E. Smirnov, S.Yu. Smirnova, L. Solans, C. Solodkov, A. Solovianov, O. Soloviev, I. Sosnovtsev, V.V. Spanò, F. Speckmayer, P. Stancu, S. Stanek, R. Starchenko, E. Straessner, A. Suchkov, S.I. Suk, M. Szczygiel, R. Tarrade, F. Tartarelli, F. Tas, P. Tayalati, Y. Tegenfeldt, F. Teuscher, R. Thioye, M. Tikhomirov, V.O. Timmermans, C.J.W.P. Tisserant, S. Toczek, B. Tremblet, L. Troncon, C. Tsiareshka, P. Tyndel, M. Unel, M.K. Unal, G. Unel, G. Usai, G. Van Berg, R. Valero, A. Valkar, S. Valls, J.A. Vandelli, W. Vannucci, F. Vartapetian, A. Vassilakopoulos, V.I. Vasilyeva, L. Vazeille, F. Vernocchi, F. Vetter-Cole, Y. Vichou, I. Vinogradov, V. Virzi, J. Vivarelli, I. De Vivie, J.B. Volpi, M. Vu Anh, T. Wang, C. Warren, M. Weber, J. Weber, M. Weidberg, A.R. Weingarten, J. Wells, P.S. Werner, P. Wheeler, S. Wiessmann, M. Wilkens, H. Williams, H.H. Wingerter-Seez, I. Yasu, Y. Zaitsev, A. Zenin, A. Zenis, T. Zenonos, Z. Zhang, H. Zhelezko, A. Zhou, N.
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Physics::Instrumentation and Detectors ,High Energy Physics::Experiment ,Nuclear Experiment - Abstract
In 2004 at the ATLAS (A Toroidal LHC ApparatuS) combined test beam, one slice of the ATLAS barrel detector (including an Inner Detector set-up and the Liquid Argon calorimeter) was exposed to particles from the H8 SPS beam line at CERN. It was the first occasion to test the combined electron performance of ATLAS. This paper presents results obtained for the momentum measurement p with the Inner Detector and for the performance of the electron measurement with the LAr calorimeter (energy E linearity and resolution) in the presence of a magnetic field in the Inner Detector for momenta ranging from 20 GeV/c to 100 GeV/c. Furthermore the particle identification capabilities of the Transition Radiation Tracker, Bremsstrahlungs-recovery algorithms relying on the LAr calorimeter and results obtained for the E/p ratio and a way how to extract scale parameters will be discussed. © 2010 IOP Publishing Ltd and SISSA.
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- 2010
24. Growth- and breed-related changes of muscle bundle structure in cattle
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E, Albrecht, F, Teuscher, K, Ender, and J, Wegner
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Male ,Meat ,Muscle Fibers, Skeletal ,Body Composition ,Animals ,Cattle ,Muscle, Skeletal - Abstract
The objective of this study was to investigate the changes in muscle fiber bundles of cattle of different breeds during growth. Different numbers of muscle fibers are surrounded by connective tissue to form bundles macroscopically visible as meat fibers or meat grain, a common meat quality trait. To determine the influence of breed and age on morphological characteristics of muscle fiber bundles, 4 cattle breeds with different growth impetus and muscularity were reared and slaughtered under experimental conditions. German Angus, a typical beef cattle; Galloway, a smaller beef type; Holstein Friesian, a dairy type; and double-muscled Belgian Blue, an extreme type for muscle growth, were used. Between 5 and 15 bulls of each breed were slaughtered at 2, 4, 6, 12, or 24 mo of age, and slices of semitendinosus muscle were removed. Muscle structure characteristics were determined by computerized image analysis. During growth, the muscle cross-sectional area enlarged (P0.001) about 5-fold in double-muscled Belgian Blue bulls and about 4-fold in the other breeds. This was a result of the enlargement (P0.001) of primary bundles and muscle fibers. The bundle size was similar (Por = 0.15) in bulls of German Angus and Galloway in all age groups and was doubled (P0.001) in double-muscled Belgian Blue animals from 4 mo of age on. The Holstein Friesian bulls had the smallest (P0.001) muscle fiber bundles at 24 mo of age. The number of muscle fibers per bundle and the number of bundles per muscle remained nearly constant (P0.05) during growth. This supports the existing view that the structure of the muscle is already fixed in prenatal life. The double-muscled Belgian Blue bulls showed a more than 2.5-fold greater (P0.001) number of muscle fibers per primary bundle compared with the other breeds investigated. The larger muscle fiber bundles led to a smaller amount of connective tissue per muscle area in double-muscled cattle. The coarser grain of meat in double-muscled Belgian Blue bulls and in older animals was not related to greater shear force values.
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- 2006
25. Growth- and breed-related changes of marbling characteristics in cattle
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E, Albrecht, F, Teuscher, K, Ender, and J, Wegner
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Male ,Aging ,Meat ,Adipose Tissue ,Animals ,Cattle ,Muscle, Skeletal - Abstract
The objective of this study was to investigate the growth- and breed-related changes of marbling characteristics in cattle. Four cattle breeds with different growth impetus and muscularity were reared and slaughtered under experimental conditions. German Angus, as a typical beef cattle; Galloway, as a smaller, environmentally resistant beef cattle; Holstein-Friesian, as a dairy-type cattle; and double-muscled Belgian Blue, as an extreme type for muscle growth, were used. These 4 breeds were expected to have differences in muscle development and i.m. fat deposition. Between 5 and 15 bulls of each breed were slaughtered at 2, 4, 6, 12, or 24 mo of age. Marbling characteristics were determined and classified in LM and semitendinosus muscle by computerized image analysis. Among breeds, differences appeared in the quantity, structure, and distribution of the marbling flecks in both muscles. The deposition of fat in the double-muscled Belgian Blue bulls remained substantially inferior to that of the other breeds, up to the age of 24 mo. Marbling in German Angus bulls particularly showed larger (P0.05) marbling fleck areas. Galloway cattle had the greatest (P0.05) number and the most regular (P0.05) distribution of the marbling flecks in young animals. Furthermore, for marbling characteristics in Holstein-Friesian animals, a great number and slightly finer structure were observed compared with the other breeds investigated. Postnatal growth-related changes of marbling in LM were characterized by as much as a 40-fold increase in the number of marbling flecks from 2 to 24 mo of age but also by up to a 4-fold enlargement in the area of the marbling flecks. The structure of marbling flecks was determined by 2 development trends. On the one hand, the marbling flecks became larger (P0.05), and the structure became coarser, which was reflected by an increasing (P0.01) proportion of long marbling flecks as well as an increasing (P0.01) maximum skeleton line length. On the other hand, continually new small, round marbling flecks appeared. This caused a decrease (P0.01) in the proportion of the 3 largest marbling fleck areas. The distribution of the marbling flecks became more regular (P0.05) with increasing proportion and number of marbling flecks. The results suggest that hyperplasia of adipocytes plays an important role in marbling during growth of muscle in cattle.
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- 2006
26. The ATLAS hadronic Tile Calorimeter: From construction toward physics
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Adragna, P. Cavasinni, V. Costanzo, D. del Prete, T. Dotti, A. Flaminio, V. Lupi, A. Mazzoni, E. Roda, C. Sarri, F. Usai, G. Vivarelli, I. Alexa, C. Boldea, V. Constantinescu, S. Dita, S. Pantea, D. Anderson, K. Farbin, A. Gupta, A. Hurwitz, M. Merritt, F. Oreglia, M. Pilcher, J. Sanders, H. Shochet, M. Tang, F. Teuscher, R. Antonaki, A. Fassouliotis, D. Giakoumopoulou, V. Giokaris, N. Lembesi, M. Manousakis, A. Batusov, V. Budagov, J. Liablin, M. Lomakin, Y. Maliukov, S. Minashvili, I. Romanov, V. Russakovich, N. Sissakian, A. Topilin, N. Vinogradov, V. Bednar, P. Fedorko, I. Sykora, I. Tokar, S. Zenis, T. Biscarat, C. Calvet, D. Ferdi, C. Garde, V. Gris, P. Guicheney, C. Lefevre, R. Montarou, G. Pallin, D. Podlyski, F. Rosnet, P. Roy, P. Santoni, C. Says, L.-P. Vazeille, F. Blanchot, G. Bosman, M. Cavalli-Sforza, M. Korolkov, I. Miralles, L. Norniella, O. Portell, X. Saltó, O. Volpi, M. Bogush, A. Gilewsky, V. Kurochkin, Y. Satsunkevitch, I. Bohm, C. Holmgren, S. Jon-And, K. Klereborn, J. Ramstedt, M. Selldèn, B. Bromberg, C. Huston, J. Miller, R. Richards, R. Caloba, L. Cerqueira, A.S. Damazio, D.O. Maidantchik, C. Marroquim, F. Seixas, J.M. da Silva, P. Carvalho, J. Pinhão, J. Castelo, J. Castillo, M.V. Cuenca, C. Ferrer, A. Fullana, E. Gonzalez, V. Higon, E. Iglesias, C. Lopez Amengual, J.M. Poveda, J. Salvachua, B. Sanchis, E. Torres, J. Valls, J.A. Cobal, M. di Girolamo, B. Efthymiopoulos, I. Gildemeister, O. Grenier, P. Henriques, A. Martin, F. Nessi, M. Schlager, G. Spanó, F. Cogswell, F. Downing, R. Errede, D. Errede, S. Haney, M. Junk, T. Simaitis, V. Vichou, I. David, M. Gomes, A. Maio, A. Marques, C. Pina, J. Saraiva, J.G. Silva, J. Santos, J. Davidek, T. Dolejsi, J. Dolezal, Z. Krivkova, P. Leitner, R. Suk, M. Tas, P. Valkar, S. De, K. Li, J. Sosebee, M. Vartapetian, A. White, A. Fenyuk, A. Karyukhin, A. Miagkov, A. Solodkov, A. Solovianov, O. Starchenko, E. Zaitsev, A. Zenine, A. Guarino, V. le Compte, T. Nodulman, L. Price, L.E. Proudfoot, J. Schlereth, J. Stanek, R. Underwood, D. Hakobyan, H. Simonyan, M. Khubua, J. Kulchitsky, Y. Kuzhir, P. Rumiantsau, V. Shevtsov, P. Starovoitov, P. Lokajicek, M. Nemecek, S. Pribyl, L. Onofre, A.
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Physics::Instrumentation and Detectors ,High Energy Physics::Experiment - Abstract
The Tile Calorimeter, which constitutes the central section of the ATLAS hadronic calorimeter, is a non-compensating sampling device made of iron and scintillating tiles. The construction phase of the calorimeter is nearly complete, and most of the effort now is directed toward the final assembly and commissioning in the underground experimental hall. The layout of the calorimeter and the tasks carried out during construction are described, first with a brief reminder of the requirements that drove the calorimeter design. During the last few years a comprehensive test-beam program has been followed in order to establish the calorimeter electromagnetic energy scale, to study its uniformity, and to compare real data to Monte Carlo simulation. The test-beam setup and first results from the data are described. During the test-beam period in 2004, lasting several months, data have been acquired with a complete slice of the central ATLAS calorimeter. The data collected in the test-beam are crucial in order to study algorithms for hadronic energy reconstruction using single particles. The generalization of these algorithms to reconstruct jet energies will be the starting point for numerous physics studies in which jets play a leading role. The results obtained in applying these algorithms to simulated di-jet events are given in the last section of the note. © 2006 IEEE.
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- 2006
27. The Map Expansion Obtained With Recombinant Inbred Strains and Intermated Recombinant Inbred Populations for Finite Generation Designs
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G. A. Brockmann, V. Guiard, F. Teuscher, and P. E. Rudolph
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Genetic Markers ,Population ,Quantitative Trait Loci ,Investigations ,Biology ,Quantitative trait locus ,law.invention ,Meiosis ,Inbred strain ,law ,Genetics ,education ,Crosses, Genetic ,Probability ,Recombination, Genetic ,education.field_of_study ,Models, Statistical ,Models, Genetic ,Homozygote ,Haplotype ,Chromosome Mapping ,Models, Theoretical ,Haplotypes ,Genetic marker ,Recombinant DNA ,Recombination - Abstract
The generation of special crosses between different inbred lines such as recombinant inbred strains (RIS) and intermated recombinant inbred populations (IRIP) is being used to improve the power of QTL detection techniques, in particular fine mapping. These approaches acknowledge the fact that recombination of linked loci increases with every generation, caused by the accumulation of crossovers appearing between the loci at each meiosis. This leads to an expansion of the map distance between the loci. While the amount of the map expansion of RIS and IRIP is known for infinite inbred generations, it is not known for finite numbers of generations. This gap was closed here. Since the recursive evaluation of the map expansion factors turned out to be complex, a useful approximation was derived.
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- 2005
28. Search for the standard model higgs boson at LEP
- Author
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Heister, J.A. Schael, S. Barate, R. Brunelière, R. De Bonis, I. Decamp, D. Goy, C. Jezequel, S. Lees, J.-R. Martin, F. Merle, E. Minard, M.-N. Pietrzyk, B. Trocmé, B. Boix, G. Bravo, S. Casado, M.P. Chmeissani, M. Crespo, J.M. Fernandez, E. Fernandez-Bosman, M. Garrido, Ll. Graugés, E. Lopez, J. Martinez, M. Merino, G. Miquel, R. Mir, Ll.M. Pacheco, A. Paneque, D. Ruiz, H. Colaleo, A. Creanza, D. De Filippis, N. De Palma, M. Iaselli, G. Maggi, G. Maggi, M. Nuzzo, S. Ranieri, A. Raso, G. Ruggieri, F. Selvaggi, G. Silvestris, L. Tempesta, P. Tricomi, A. Zito, G. Huang, X. Lin, J. Quyang, Q. Wang, T. Xie, Y. Xu, R. Xue, S. Zhang, J. Zhang, L. Zhao, W. Abbaneo, D. Azzurri, P. Barklow, T. Buchmüller, O. Cattaneo, M. Cerutti, F. Clerbaux, B. Drevermann, H. Forty, R.W. Frank, M. Gianotti, F. Greening, T.C. Hansen, J.B. Harvey, J. Hutchcroft, D.E. Janot, P. Jost, B. Kado, M. Maley, P. Mato, P. Moutoussi, A. Ranjard, F. Rolandi, L. Schlatter, D. Sguazzoni, G. Tejessy, W. Teubert, F. Valassi, A. Videau, I. Ward, J.J. Badaud, F. Dessagne, S. Falvard, A. Fayolle, D. Gay, P. Jousset, J. Michel, B. Monteil, S. Pallin, D. Pascólo, J.M. Perret, P. Hansen, J.D. Hansen, J.R. Hansen, P.H. Nilsson, B.S. Wäänänen, A. Kyriakis, A. Markou, C. Simopoulou, E. Vayaki, A. Zachariadou, K. Blondel, A. Brient, J.-C. Machefert, F. Rouge, A. Swynghedauw, M. Tanaka, R. Videau, H. Ciulli, V. Focardi, E. Parrini, G. Antonelli, A. Antonelli, M. Bencivenni, G. Bologna, G. Bossi, F. Campana, P. Capon, G. Chiarella, V. Laurelli, P. Mannocchi, G. Murtas, F. Murtas, G.P. Passalacqua, L. Pepe-Altarelli, M. Spagnolo, P. Kennedy, J. Lynch, J.G. Negus, P. O'Shea, V. Smith, D. Thompson, A.S. Wasserbaech, S. Cavanaugh, R. Dhamotharan, S. Geweniger, C. Hanke, P. Hepp, V. Kluge, E.E. Leibenguth, G. Putzer, A. Stenzel, H. Tittel, K. Werner, S. Wunsch, M. Beuselinck, R. Binnie, D.M. Cameron, W. Davies, G. Dornan, P.J. Girone, M. Hill, R.D. Marinelli, N. Nowell, J. Przysiezniak, H. Rutherford, S.A. Sedgbeer, J.K. Thompson, J.C. White, R. Ghete, V.M. Girtler, P. Kneringer, E. Kuhn, D. Rudolph, G. Bouhova-Thacker, E. Bowdery, C.K. Clarke, D.P. Ellis, G. Finch, A.J. Foster, F. Hughes, G. Jones, R.W.L. Pearson, M.R. Robertson, N.A. Smizanska, M. Lemaitre, V. Blumenschein, U. Hölldorfer, F. Jakobs, K. Kay Ser, F. Kleinknecht, K. Müller, A.-S. Quast, G. Renk, B. Sander, H.-G. Schmeling, S. Wachsmuth, H. Zeitnitz, C. Ziegler, T. Bonissent, A. Carr, J. Coyle, P. Curtil, C. Ealet, A. Fouchez, D. Leroy, O. Kachelhoffer, T. Payre, P. Rousseau, D. Tilquin, A. Ragusa, F. David, A. Dietl, H. Ganis, G. Hüttmann, K. Lütjens, G. Mannert, C. Männer, W. Moser, H.-G. Settles, R. Wolf, G. Boucrot, J. Callot, O. Davier, M. Duflot, L. Grivaz, J.-F. Heusse, Ph. Jacholkowska, A. Loomis, C. Serin, L. Veillet, J.-J. De Vivie De Régie, J.-B. Yuan, C. Bagliesi, G. Boccali, T. Foà, L. Giammanco, A. Giassi, A. Ligabue, F. Messineo, A. Palla, F. Sanguinetti, G. Sciabà, A. Tenchini, R. Venturi, A. Verdini, P.G. Awunor, O. Blair, G.A. Coles, J. Cowan, G. Garcia-Bellido, A. Green, M.G. Jones, L.T. Medcalf, T. Misiejuk, A. Strong, J.A. Teixeira-Dias, P. Clifft, R.W. Edgecock, T.R. Norton, P.R. Tomalin, I.R. Bloch-Devaux, B. Boumediene, D. Colas, P. Fabbro, B. Lançon, E. Lemaire, M.-C. Locci, E. Perez, P. Rander, J. Renardy, J.-F. Rosowsky, A. Seager, P. Trabelsi, A. Tuchming, B. Vallage, B. Konstantinidis, N. Litke, A.M. Taylor, G. Booth, C.N. Cartwright, S. Combley, F. Hodgson, P.N. Lehto, M. Thompson, L.F. Affholderbach, K. Bohrer, A. Brandt, S. Grupen, C. Hess, J. Ngac, A. Prange, G. Sieler, U. Borean, C. Giannini, G. He, H. Putz, J. Rothberg, J. Armstrong, S.R. Berkelman, K. Cranmer, K. Ferguson, D.P.S. Gao, Y. González, S. Hayes, O.J. Hu, H. Jin, S. Kile, J. McNamara III, P.A. Nielsen, J. Pan, Y.B. Von Wimmersperg-Toeller, J.H. Wiedenmann, W. Wu, J. Wu, S.L. Wu, X. Zobernig, G. Dissertori, G. Crawley, B. Lamsa, J. Meyer, W.T. Rosenberg, E. Alderweireld, T. Bertrand, D. D'Hondt, J. de Clercq, C. Lemonne, J. Pukhaeva, N. van Lysebetten, A. van Remortel, N. Verbeure, F. Wickens, J. Alderweireld, T. Bertrand, D. D'Hondt, J. de Clercq, C. Lemonne, J. van Lysebetten, A. van Remortel, N. Verbeure, F. Wickens, J. Alderweireld, T. Bertrand, D. D'Hondt, J. de Clercq, C. Lemonne, J. van Lysebetten, A. van Remortel, N. Verbeure, F. Wickens, J. Fassouliotis, D. Kourkoumelis, C. Eigen, G. Stugu, B. Benvenuti, A. Cavallo, F. Navarria, F. Paiano, S. Perrotta, A. Rovelli, T. Valenti, G. Begalli, M. Mundim, L. Pol, M.E. Begalli, M. Mundim, L. Pol, M.E. Begalli, M. Mundim, L. Pol, M.E. Brunet, J.M. Tristram, G. Alemany-Fernandez, R. Augustinus, A. Baillon, P. Battaglia, M. Camporesi, T. Carena, F. Charpentier, Ph. Chierici, R. Chudoba, J. Chung, S.U. Collins, P. Drees, J. Elsing, M. Foeth, H. Gavillet, Ph. Gokieli, R. Herr, H. Holt, P.J. Joram, C. Kersevan, B.P. Kjaer, N.J. Marin, J.-C. Mariotti, C. Moenig, K. Pape, L. Parzefall, U. Piotto, E. Poireau, V. Rebecchi, P. Schwickerath, U. Spassov, T. Treille, D. van Eldik, J. van Vulpen, I. Wicke, D. Bloch, D. Nikolenko, M. Winter, M. Moenig, K. Adzic, P. Fanourakis, G. Fassouliotis, D. Kokkinias, P. Loukas, D. Markou, A. Mastroyiannopoulos, N. Nassiakou, M. Tzamarias, S. Zupan, M. Masik, J. Rames, J. Ridky, J. Todorovova, S. Travnicek, P. Vrba, V. Contri, R. Ferro, F. Monge, R. Morettini, P. Parodi, F. Petrolini, A. Arnoud, Y. Berat, C. Ledroit, F. Kiiskinen, A. Orava, R. Osterberg, K. Salmi, L. Bardin, D. Boyko, I. Kouznetsov, O. Krumstein, Z. Nikolenko, M. Olshevski, A. Pozdniakov, V. Pukhaeva, N. Sadovsky, A. Sisakian, A. Tkatchev, L. Tyapkin, I.A. Tyapkin, P. Zhuravlov, V. Zimin, N.I. Zintchenko, A. Albrecht, T. Allmendinger, T. Apel, W.-D. Barker, G. de Boer, W. Feindt, M. Haag, C. Hauler, F. Hennecke, M. Jungermann, L. Moch, M. Ramler, L. Rehn, J. Stanitzki, M. Weiser, C. Bruckman, P. Cieslik, K. Kucharczyk, M. Lesiak, T. Palka, H. Polok, G. Witek, M. Zalewska, A. Muryn, B. Oblakowska-Mucha, A. Szumlak, T. Bambade, P. Ben-Haim, E. Bouquet, B. Cosme, G. Fulda-Quenzer, F. Grosdidier, G. Lepeltier, V. Richard, F. Roudeau, P. Stocchi, A. Borisov, G. Sopczak, A. Abreu, P. Andringa, S. Anjos, N. Castro, N. Espirito Santo, M.C. Goncalves, P. Moreno, S. Onofre, A. Peralta, L. Pimenta, M. Tome, B. Veloso, F. Allport, P.P. Booth, P.S.L. Bowcock, T.J.V. Houlden, M.A. Jackson, J.N. King, B.T. Mc Nulty, R. Palacios, J.P. Taffard, A.C. Tobin, M. Washbrook, A.J. Parkes, C. Abdallah, J. Augustin, J.E. Baubillier, M. Berggren, M. da Silva, W. Kapusta, F. Savoy-Navarro, A. Ask, S. Hedberg, V. Jarlskog, G. Mjoernmark, U. Smirnova, O. Antilogus, P. Barbier, R. Jonsson, P. Katsanevas, S. Smadja, G. Verdier, P. Andreazza, A. Meroni, C. Troncon, C. Vegni, G. Amaldi, U. Bonesini, M. Calvi, M. Matteuzzi, C. Paganoni, M. Pullia, A. Tabarelli, T. Tonazzo, A. Leitner, R. Blom, M. Kluit, P. Montenegro, J. Mulders, M. Reid, D. Timmermans, J. van Dam, P. Benekos, N. Dris, M. Fokitis, E. Gazis, E. Katsoufis, E. Maltezos, S. Papadopoulou, T.D. Bugge, L. Hansen, J. Haug, S. Myklebust, T. Read, A. Cuevas, J. Lopez, J.M. Brodet, E. Hamilton, K. Jeans, D. Lyons, L. Myatt, G. Renton, P. Segar, A. Wilkinson, G. Anashkin, E. Checchia, P. de Min, A. Margoni, M. Mazzucato, F. Mazzucato, M. Ronchese, P. Crennell, D. Guy, J. Murray, W. Sekulin, R. Venus, W. Canale, V. di Ciaccio, L. Verzi, V. Baroncelli, A. di Simone, A. Graziani, E. Passeri, A. Pieri, L. Besancon, M. Besson, N. Boonekamp, M. Jarry, P. Lutz, P. Nicolaidou, R. Ouraou, A. Pierre, F. Ruhlmann-Kleider, V. Turluer, M.-L. Vilanova, D. Fernandez, J. Gomez-Ceballos, G. Marco, J. Marco, R. Martinez-Rivero, C. Matorras, F. Piedra, J. Rivero, M. Rodriguez, D. Chapkin, M. Chliapnikov, P. Obraztsov, V. Ryabtchikov, D. Sokolov, A. Uvarov, V. Yushchenko, O. Bracko, M. Golob, B. Kernel, G. Kersevan, B.P. Podobnik, T. Zavrtanik, D. Bracko, M. Golob, B. Kernel, G. Podobnik, T. Zavrtanik, D. Bracko, M. Golob, B. Kernel, G. Podobnik, T. Zavrtanik, D. Asman, B. Berntzon, L. Dalmau, J. Holmgren, S.-O. Hultqvist, K. Johansson, E.K. Johansson, P.D. Leinonen, L. Lipniacka, A. Moa, T. Amapane, N. de Maria, N. Migliore, E. Romero, A. Ballestrero, A. Cossutti, F. della Ricca, G. de Angelis, A. de Lotto, B. Poropat, P. Vitale, L. Cossutti, F. della Ricca, G. de Angelis, A. de Lotto, B. Amato, S. da Silva, T. de Paula, L. Gandelman, M. Lopes, J.H. Marechal, B. Moraes, D. Botner, O. Brenner, R. Ekelof, T. Ellert, M. Hallgren, A. Tegenfeldt, F. Costa, M.J. Ferrer, A. Fuster, J. Garcia, C. Oyanguren, A. Perepelitsa, V. Salt, J. Tortosa, P. Adam, W. Leder, G. Liko, D. MacNaughton, J. Mandl, F. Mitaroff, W. Strauss, J. Bluj, M. Doroba, K. Gokieli, R. Grzelak, K. Hoffman, J. Nawrocki, K. Sosnowski, R. Szczekowski, M. Szeptycka, M. Trochimczuk, M. Zalewski, P. Becks, K.-H. Behrmann, A. Buschmann, P. Drees, J. Flagmeyer, U. Hamacher, K. Liebig, W. Malek, A. Mueller, U. Muenich, K. Passon, O. Reinhardt, R. Siebel, M. Wahlen, H. Böhm, A. Baldew, S.V. Bobbink, G.J. Dierckxsens, M. Van Dierendonck, D. Azemoon, T. Berbeco, R. Banerjee, Sw. Blaising, J.J. Brochu, F. Coignet, G. Degré, A. Achard, P. Andreev, V.P. Chen, G. Chen, G.M. Chen, H.S. Adriani, O. Anselmo, F. Basile, M. Cara Romeo, G. Cindolo, F. Aziz, T. Banerjee, S. Alemanni, G. Aloisio, A. Boldizsar, L. Debreczeni, J. Becker, U. Berges, P. Burger, J.D. Cai, X.D. Capell, M. Clare, I. Dai, T.S. Anselmo, F. Baksay, G. Adriani, O. Becattini, F. Bellucci, L. Cartacci, A. Alcaraz, J. Allaby, J. Aziz, T. Barillère, R. Arefiev, A. Achard, P. Bourquin, M. Braccini, S. Chamizo, M. Déglon, P. Delmeire, E. Chen, H.F. Alemanni, G. Bartalini, P. Bay, A. Chemarin, M. Aguilar-Benitez, M. Alcaraz, J. Bajo, A. Berdugo, J. Casaus, J. Cerrada, M. Colino, N. De la Cruz, B. Baarmand, M. Baksay, L. Baarmand, M. Arefiev, A. Aloisio, A. Alviggi, M.G. Biglietti, M. Carlino, G. Chiefari, G. De Asmundis, R. Della Volpe, D. Bajo, A. Van Dalen, J.A. Baldew, S.V. Battiston, R. Bertucci, B. Biasini, M. Burger, W.J. Cecchi, C. Cucciarelli, S. Andreev, V.P. Blyth, S.C. Cavallo, N. Denes, P. Clare, R. Bagnaia, P. Borgia, B. Cavallari, F. Costantini, S. DeNotaristefani, F. Diemoz, M. Dionisi, C. Cifarelli, L. Branson, J.G. Banerjee, Sw. Barillère, R. Buijs, A. Batalova, N. Barczyk, A. Deiters, K. Batalova, N. Anderhub, H. Barczyk, A. Behner, F. Betev, B.L. Biland, A. Bourilkov, D. De Salvo, A. Becker, U. Chang, Y.H. Chen, A. Berdugo, J. Anagnostou, G. Bell, P.J. Bloodworth, I.J. Charlton, D.G. Hawkes, C.M. Homer, R.J. Jovanovic, P. Krieger, P. Macpherson, A. McMahon, T.J. O'Neale, S.W. Turner-Watson, M.F. Watkins, P.M. Watson, A.T. Watson, N.K. Wilson, J.A. Abbiendi, G. Arcelli, S. Bonacorsi, D. Brigliadori, L. Cuffiani, M. Dallavalle, G.M. Fabbri, F. Giacomelli, G. Giacomelli, P. Marcellini, S. Masetti, G. Michelini, A. Poli, B. Siroli, G. Tricoli, A. Åkesson, P.F. Geich-Gimbel, C. Günther, P.O. Kobel, M. Mader, W. Quadt, A. Rosati, S. Schumacher, M. Stahl, A. Wermes, N. Benelli, G. Campana, S. Gary, J.W. Giunta, M. Hanson, G.G. Harin-Dirac, M. Kress, T. Layter, J.G. Pásztor, G. Rick, H. Shen, B.C. Tran, P. Zer-Zion, D. Ainsley, C. Batley, R.J. Carter, J.R. Ford, M. Hill, J.C. Shepherd-Themistocleous, C.H. Thomson, M.A. Ward, C.P. Ward, D.R. Bellerive, A. Carnegie, R.K. Donkers, M. Hemingway, R.J. Junk, T.R. Karlen, D. Krieger, P. Mes, H. Sachs, K. Waller, D. Barberio, E. Braibant, S. Burckhart, H.J. Csilling, A. De Roeck, A. De Wolf, E.A. Ferrari, P. Frey, A. Fürtjes, A. Gruwe, M. Hauschild, M. Hawkings, R. Kruger, K. Meijers, F. Nisius, R. Oh, A. Pásztor, G. Plane, D.E. Polok, J. Przybycień, M. Rabbertz, K. Rembser, C. Sarkisyan, E.K.G. Scharff-Hansen, P. Schorner-Sadenius, T. Schroder, M. Schwick, C. Shears, T.G. Smith, A.M. Tasevsky, M. Trigger, I. Voss, H. Vossebeld, J. Wells, P.S. Wengler, T. Amaral, P. Anderson, K.J. Gupta, A. Hoffman, K. Merritt, F.S. Oreglia, M.J. Pilcher, J.E. Spano, F. Teuscher, R. Boeriu, O. Feld, L. Fleck, I. Herten, G. Lillich, J. Ludwig, J. Mohr, W. Mutter, A. Runge, K. Soldner-Rembold, S. Vannerem, P. Bock, P. Igo-Kemenes, P. Klein, K. von Krogh, J. Okpara, A. Wetterling, D. Gagnon, P. Krop, D. Letts, J. Carter, A.A. Lloyd, S.L. Martin, A.J. Nagai, K. Lanske, D. Pooth, O. Seuster, R. Miller, D.J. Sherwood, P. Taylor, R.J. Allison, J. Barlow, R.J. Dallison, S. Duerdoth, I.P. Kartvelishvili, V. Lafferty, G.D. Loebinger, F.K. Marchant, T.E. Pater, J.R. Stephens, K. Wilson, G.W. Wyatt, T.R. Chang, C.Y. Kellogg, R.G. Skuja, A. Verzocchi, M. Azuelos, G. Elfgren, E. Jeremie, H. Karapetian, G. Martin, J.P. Kim, D.H. Strom, D. Torrence, E. Bell, K.W. Brown, R.M. Kennedy, B.W. Patrick, G.N. Scott, W.G. Spagnolo, S. Dado, S. Goldberg, J. Harel, A. Landsman, H. Moed, S. Rozen, Y. Tarem, S. Alexander, G. Bella, G. Etzion, E. Grunhaus, J. Tsur, E. Asai, S. Ishii, K. Kanzaki, J. Kawagoe, K. Kawamoto, T. Kobayashi, T. Komamiya, S. Mashimo, T. Mihara, S. Mori, T. Nakamura, I. Orito, S. Saeki, T. Toya, D. Ueda, I. Yamashita, S. Asai, S. Ishii, K. Kanzaki, J. Kawagoe, K. Kawamoto, T. Kobayashi, T. Komamiya, S. Mashimo, T. Mihara, S. Mori, T. Nakamura, I. Orito, S. Saeki, T. Toya, D. Ueda, I. Yamashita, S. Duchovni, E. Gross, E. Klier, A. Kupper, M. Lellouch, D. Levinson, L. Mikenberg, G. Renkel, P. Wolf, G. Zivkovic, L. Bechtle, P. Behnke, T. Buesser, K. Desch, K. Gaycken, G. Hamann, M. Harder, K. Hauschildt, J. Hensel, C. Heuer, R.D. Huntemeyer, P. Krümer, T. Menges, W. Bailey, I. Kanaya, N. Keeler, R.K. Kormos, L. Kowalewski, R.V. McPherson, R.A. Roney, J.M. Sobie, R. Vachon, B. Axen, D. Howard, R. Lu, J. McKenna, J. Caron, B. Macpherson, A. McDonald, W.J. Pinfold, J. Hajdu, C. Horváth, D. Dienes, B. Trńcsńnyi, Z. Ujvári, B. Biebel, O. Boutemeur, M. Dubbert, J. Duckeck, G. Fiedler, F. Leins, A. Mendez-Lorenzo, P. Sahr, O. Schaile, A.D. Schaile, O. Strohmer, R. Trefzger, T. Vollmer, C.F. Bethke, S. Kluth, S. Pahl, C. Schieck, J. Neal, H.A. Azuelos, G. Mes, H. Charlton, D.G. Horváth, D. Trńcsńnyi, Z. Ujvári, B. Seuster, R. Csilling, A. Shears, T.G. Vossebeld, J. Oh, A. Sarkisyan, E.K.G. Mutter, A. Polok, J. Mattig, P. Przybycień, M. ALEPH DELPHI L3 OPAL The LEP Working Group for Higgs Boson Searches
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High Energy Physics::Phenomenology ,High Energy Physics::Experiment - Abstract
The four LEP collaborations, ALEPH, DELPHI, L3 and OPAL, have collected a total of 2461 pb−1 of e+ e− collision data at centre-of-mass energies between189 and 209 GeV. The data are used to search for the Standard Model Higgs boson. The search results of the four collaborations are combined and examined in a likelihood test for their consistency with two hypotheses: the background hypothesis and the signal plus background hypothesis. The corresponding confidences have been computed as functions of the hypothetical Higgs boson mass. A lower bound of114.4 GeV/c2 is established, at the 95% confidence level, on the mass of the Standard Model Higgs boson. The LEP data are also used to set upper bounds on the HZZ coupling for various assumptions concerning the decay of the Higgs boson. © 2016, Elsevier. All rights reserved.
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- 2003
29. Models for Chromatid Interference With Applications to Recombination Data
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H. H. Swalve, V. Guiard, G. A. Brockmann, P. E. Rudolph, and F. Teuscher
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Recombination, Genetic ,Genetics ,Likelihood Functions ,Models, Statistical ,Models, Genetic ,Crossover ,Chromosome Mapping ,Chromatids ,Biology ,Interference (genetic) ,Chiasma ,Chromosomal crossover ,Animals ,Cattle ,Chromatid ,Crossing Over, Genetic ,biological phenomena, cell phenomena, and immunity ,Recombination ,Research Article - Abstract
Genetic interference means that the occurrence of one crossover affects the occurrence and/or location of other crossovers in its neighborhood. Of the three components of genetic interference, two are well modeled: the distribution of the number and the locations of chiasmata. For the third component, chromatid interference, there exists only one model. Its application to real data has not yet been published. A further, new model for chromatid interference is presented here. In contrast to the existing model, it is assumed that chromatid interference acts only in the neighborhood of a chiasma. The appropriateness of this model is demonstrated by its application to three sets of recombination data. Both models for chromatid interference increased fit significantly compared to assuming no chromatid interference, at least for parts of the chromosomes. Interference does not necessarily act homogeneously. After extending both models to allow for heterogeneity of chromatid interference, a further improvement in fit was achieved. DURING meiotic prophase 1 in diploid individuals, each chromosome is paired with its homologue. Each homologue is duplicated, producing two identical chromatids, the sister strands. A crossover represents an event where two nonsister chromatids form chiasmata, break, and reunite, enforced by the tight contact and the twisting between the chromatids and the subsequent repair mechanism. After meiosis, one of the four resulting gametes is randomly chosen for further inheritance. For clarity we use the term chiasma at the four-strand stage, while the term crossover is used with single strands or gametes. Hence, from one nonsister strand chiasma, two crossovers result. An example of a meiosis at the four-strand stage is given in Figure 1. It has often been proven that chiasma or crossover events are not independent. The notion of genetic interference describes the effect on crossovers of neighboring crossovers. The components of interference are as follows: Non(complete)randomness in the number of crossovers: The no-interference model applies if the crossover numbers are Poisson distributed. All other count distributions yield deviations from no interference. Non(complete)randomness in crossover locations: The suppression of nearby crossovers has been modeled by nonuniformly distributed locations and by nonexponentially distributed intercrossover distances with renewal point processes. Chromatid interference (CI): The strands actually involved in a crossover depend in some way on those strands involved in neighboring crossovers. Substantial progress has been made in investigating and modeling the first two components. For these cases we use the term suppression interference (SI). For SI models, no chromatid interference (NCI) is assumed. For recent reviews see Karlin and Liberman (1994) and McPeek and Speed (1995). The χ2-model of recombination (Fosset al. 1993; Zhaoet al. 1995a) is accepted as a satisfying model for positive SI. Negative SI, i.e., one chiasma enforcing the occurrence of another one, can be described, for example, by a negative binomial count distribution for the number of chiasmata. The investigation of CI has not reached the same level yet. It started in the 1930s when recombination fractions >0.5 had been observed. This phenomenon was termed pseudolinkage. Models have been developed for data exhibiting pseudolinkage (Winge 1935; Mather 1938). Particularly, Mather found that this phenomenon could result only from CI. However, little evidence was found for it in diploid organisms. For a review and a test procedure, see Zhao et al. (1995b). Recently, Zhao and Speed (1998, 1999) developed a model for CI. To our knowledge, an application has not been published so far. Summarizing the literature, the general view is that CI is not evident. This is reflected by widely distributed mapping software (e.g., CRIMAP) that reduce recombination fractions >0.5 to 0.5. Yet, recombination fractions θ > 0.5 are accepted in tetraploids. Recombination fractions of up to 0.8 have been found in tetraploid fish (Wrightet al. 1983). Since θ ≤ 0.5 is valid even for tetraploid species under NCI [see formula (6) with Q = 0.25], there is evidence for an action of CI. Hence, CI cannot be excluded, either from a theoretical point of view, or from empirical evidence. It therefore appears to be helpful to derive alternative models to the existing model of Zhao and Speed (1998), either to increase the evidence for CI in diploids or to strengthen the conviction that there is none. The objective of the present study was to develop a model allowing parallel nonsister strand chiasmata, which could not arise under high SI if one assumes suppression on all four strands, and sister strand chiasmata, which also have not been modeled so far but could play a role at high SI. In analyzing a number of recombination data sets we found evidence for SI and CI. Until now heterogeneity of interference has not been investigated. We incorporated CI heterogeneity into both CI models and obtained further improvement in fit.
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- 2000
30. Growth- and breed-related changes of muscle fiber characteristics in cattle
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H J Papstein, K. Ender, J. Wegner, I Fiedler, Elke Albrecht, and F. Teuscher
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Male ,Veterinary medicine ,Meat ,Muscle Fibers, Skeletal ,General Medicine ,Breeding ,Animal husbandry ,Beef cattle ,Biology ,Breed ,Muscle hypertrophy ,Tenderness ,Belgian Blue ,Body Composition ,Genetics ,medicine ,Animals ,Cattle ,Animal Science and Zoology ,Fiber ,Animal Husbandry ,medicine.symptom ,Semitendinosus muscle ,Food Science - Abstract
The objective of this study was to investigate the growth- and breed-related changes of muscle fiber characteristics in cattle and their importance to meat quality. Four cattle breeds with different growth impetus and muscularity were reared and slaughtered under experimental conditions. German Angus as a beef type, Galloway as a hardy type, Holstein Friesian as a dairy type, and double-muscled Belgian Blue as an extreme type for muscle growth were used. Between 5 and 17 bulls of each breed were slaughtered at 0, 2, 4, 6, 12, 18, and 24 mo of age. Muscle fiber traits were determined and classified by computerized image analysis, and several measures of meat quality were also determined, including shear force value, meat color, and i.m. fat content. The postnatal growth of semitendinosus muscle in cattle was characterized by a nearly 10-fold increase of muscle fiber area from birth to 24 mo of age. In the first few months after birth, a transformation of type IIA fibers into IIB fibers was found, whereas type I fibers were nearly unaffected by age. The apparent total muscle fiber number of semitendinosus muscle did not increase during postnatal life. These results confirm that the fiber number is determined in embryonic development. Throughout the study, the double-muscled Belgian Blue (BBDM) bulls had almost twice the fiber number of the other breeds, emphasizing a more extensive hyperplasia of muscle fibers during embryonic development in BBDM compared with the other three breeds. The apparent number of type I fibers was, however, not affected by breed, which suggests that the additional fibers found in BBDM postnatally were type IIB and IIA fibers. We did not find significant differences in muscle fiber total number, muscle fiber type frequencies, or meat quality characteristics among breeds, with the exception of BBDM. Having pooled the four breeds, paler meat was related to a higher frequency of type IIB fibers, a lower area of type IIA and type I fiber, and a higher total muscle fiber number. These findings based on data of double muscling give us some hints for biological causes for the variation of meat quality. Further investigation, in particular within each breed, is necessary to identify the superior fiber traits for bovine meat production.
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- 2000
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31. JAIN, J. P., V. T. PRABHAKARAN: Genetics of Populations. South Asian Publishers Pvt. Ltd., New Dehli 1992, pp. 320, Rs. 250.00; ISBN 81–7003–143–5
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F. Teuscher
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Statistics and Probability ,South asia ,Geography ,Anthropology ,General Medicine ,Statistics, Probability and Uncertainty ,Demography - Published
- 1994
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32. Lindgren, B. W.: Statistical Theory, 4th edition. Chapman & Hall, London — New York 1993, 633 pp., £44.95
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F. Teuscher
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Statistics and Probability ,Philosophy ,General Medicine ,Statistics, Probability and Uncertainty ,Statistical theory ,Humanities - Published
- 1994
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33. Severe acute oxidant exposure: morphological damage and aerobic metabolism in the lung
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M R, Montgomery, F, Teuscher, I, LaSota, and D E, Niewoehner
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Male ,Paraquat ,Glucose ,Oxygen Consumption ,Ozone ,Animals ,Lung ,Aerobiosis ,Rats - Abstract
Groups of male rats were exposed to acute doses of oxygen, ozone, or paraquat which produced equivalent mortality (25-30%) over a 28 day post-exposure period. Quantitative evaluation of morphological changes indicated the primary response to be edema and inflammation with only slight fibrosis being apparent by the end of the observation period. Aerobic pulmonary metabolism was inhibited in lungs from animals exposed to oxygen and ozone as evidenced by decreased oxygen consumption; however, this was transient and O2 consumption returned to normal within 24 hours after removal from the exposure chamber. Conversely, treatment with paraquat caused an immediate, transient stimulation of O2 consumption. Glucose metabolism was unaltered by the gas exposures and, as previously reported, was initially stimulated by paraquat treatment. In vitro, only paraquat altered both O2 consumption and glucose metabolism when added to lung slice preparations; ozone had no effect. Oxygen did not alter O2 consumption but caused a slight biphasic response in glucose metabolism. Aerobic metabolism is relatively unchanged by these doses of oxygen and ozone which result in the death of 25-30% of all treated animals. Even though paraquat produces similar morphologic changes, it may represent a more severe metabolic insult than "equivalent" doses of oxygen or ozone. Also, if interstitial pulmonary fibrosis is a desired result of experimental exposure, rats may not be a suitable model for oxidant induced lung injury.
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- 1986
34. [Allergy to primroses]
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F, TEUSCHER
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Immune System Diseases ,Primula ,Hypersensitivity ,Plants - Published
- 1958
35. Growth-and breed-related changes of fetal development in cattle
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Ruqian Zhao, Elke Albrecht, W. H. Mao, F. Teuscher, Q. Yang, and J. Wegner
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Fetus ,medicine.medical_specialty ,food and beverages ,Beef cattle ,Biology ,Breed ,Muscle hypertrophy ,Animal science ,Endocrinology ,Belgian Blue ,Internal medicine ,Muscle weight ,Fetal growth ,medicine ,Gestation ,Animal Science and Zoology ,Food Science - Abstract
Breed differences in adult animals are determined during fetal development. If interventions are to be developed that influence growth of muscle and fat, it is important to know at which time during gestation breed differences appear and are fixed. The objective of this study was to characterize fetal development in cattle of different breeds. Pregnant cows of 4 cattle breeds with different growth impetus and muscularity were slaughtered under normal processing conditions and the fetuses were removed. German Angus, a typical beef cattle; Galloway, a smaller, environmentally resistant beef type; Holstein Friesian, a dairy type; and Belgian Blue, an extreme type for muscle growth were used. Fetuses of each breed were investigated at 3, 6, and 9 mo of gestation. Fetuses were weighed and dissected into carcass, organs, and muscles. Body fat weight was obtained using the Soxhlet extraction method. Fetal weight increased most rapidly in the third trimester of gestation mainly due to the accelerated muscle and fat deposition. The organ weight to body weight (BW) ratios decreased and the muscle and fat weight to BW ratios increased. At 3 mo of gestation, Galloway fetuses had the significantly smallest BW, half-carcass weight, leg weight, organ weight, muscle weight and shortest leg length. In contrast, Holstein fetuses had the significantly greatest BW, liver, kidney, and lung weights and significantly longest leg length among the 4 breeds, but no differences between Holstein Friesian and Belgian Blue were detected in half-carcass and leg weight. Indeed, Belgian Blue fetuses had the significantly greatest half-carcass weight, leg weight, and muscle weight at 9 mo of gestation, and Galloway had a significantly greater body fat to BW ratio than Holstein Friesian and Belgian Blue. These differences were not evident at 3 and 6 mo of gestation. These data show that the profound increase of tissue and organ weights occurred in later gestation in cattle fetuses even though breed differences were evident as early as 3 mo of gestation. Depending on the tissue of interest, impacting fetal growth likely needs to occur early in gestation before the appearance of breed-specific differences.
36. Mager, P. P.: Multivariate Chemometrics in QSAR (Quantitative Structure-Activity Relationship): A Dialog. John Wiley & Sons, Inc., New York – Chichester – Toronto – Brisbane – Singapure 1988, 345 S., $ 49.50
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F. Teuscher
- Subjects
Statistics and Probability ,Chemometrics ,Quantitative structure–activity relationship ,Multivariate statistics ,business.industry ,General Medicine ,Artificial intelligence ,Statistics, Probability and Uncertainty ,Dialog box ,business ,Psychology - Published
- 1989
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37. Mager, P. P.: Multidimensional Pharmacochemistry. Design of Safer Drugs. Academic Press, INC., London 1984, 418 S., $89,-, £62.50
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F. Teuscher
- Subjects
Statistics and Probability ,Nursing ,SAFER ,General Medicine ,Statistics, Probability and Uncertainty ,Psychology - Published
- 1986
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38. The quantification of Simpson's paradox and other contributions to contingency table theory.
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Teuscher F
- Subjects
- Drug Interactions, Humans, Interior Design and Furnishings, Linkage Disequilibrium, Programming, Linear, Data Interpretation, Statistical, Entropy, Models, Statistical, Software
- Abstract
The analysis of contingency tables is a powerful statistical tool used in experiments with categorical variables. This study improves parts of the theory underlying the use of contingency tables. Specifically, the linkage disequilibrium parameter as a measure of two-way interactions applied to three-way tables makes it possible to quantify Simpson's paradox by a simple formula. With tests on three-way interactions, there is only one that determines whether the partial interactions of all variables agree or whether there is at least one variable whose partial interactions disagree. To date, there has been no test available that determines whether the partial interactions of a certain variable agree or disagree, and the presented work closes this gap. This work reveals the relation of the multiplicative and the additive measure of a three-way interaction. Another contribution addresses the question of which cells in a contingency table are fixed when the first- and second-order marginal totals are given. The proposed procedure not only detects fixed zero counts but also fixed positive counts. This impacts the determination of the degrees of freedom. Furthermore, limitations of methods that simulate contingency tables with given pairwise associations are addressed., Competing Interests: NO authors have competing interests.
- Published
- 2022
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39. Estimation of Recombination Rate and Maternal Linkage Disequilibrium in Half-Sibs.
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Hampel A, Teuscher F, Gomez-Raya L, Doschoris M, and Wittenburg D
- Abstract
A livestock population can be characterized by different population genetic parameters, such as linkage disequilibrium and recombination rate between pairs of genetic markers. The population structure, which may be caused by family stratification, has an influence on the estimates of these parameters. An expectation maximization algorithm has been proposed for estimating these parameters in half-sibs without phasing the progeny. It, however, overlooks the fact that the underlying likelihood function may have two maxima. The magnitudes of the maxima depend on the maternal allele frequencies at the investigated marker pair. Which maximum the algorithm converges to depends on the chosen start values. We present a stepwise procedure in which the relationship between the two modes is exploited. The expectation maximization algorithm for the parameter estimation is applied twice using different start values, followed by a decision process to assess the most likely estimate. This approach was validated using simulated genotypes of half-sibs. It was also applied to a dairy cattle dataset consisting of multiple half-sib families and 39,780 marker genotypes, leading to estimates for 12,759,713 intrachromosomal marker pairs. Furthermore, the proper order of markers was verified by studying the mean of estimated recombination rates in a window adjacent to the investigated locus as well as in a window at its most distant chromosome end. Putatively misplaced markers or marker clusters were detected by comparing the results with the revised bovine genome assembly UMD 3.1.1. In total, 40 markers were identified as candidates of misplacement. This outcome may help improving the physical order of markers which is also required for refining the bovine genetic map.
- Published
- 2018
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40. A Plasmodium falciparum S33 proline aminopeptidase is associated with changes in erythrocyte deformability.
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da Silva FL, Dixon MW, Stack CM, Teuscher F, Taran E, Jones MK, Lovas E, Tilley L, Brown CL, Trenholme KR, Dalton JP, Gardiner DL, and Skinner-Adams TS
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- Amino Acid Sequence, Aminopeptidases chemistry, Aminopeptidases genetics, Aminopeptidases immunology, Antibodies, Protozoan immunology, Blotting, Northern, Blotting, Western, Cell Adhesion physiology, Elasticity, Erythrocyte Membrane genetics, Erythrocyte Membrane physiology, Erythrocytes parasitology, Gene Knockout Techniques, Humans, Microscopy, Atomic Force, Microscopy, Electron, Transmission, Microscopy, Fluorescence, Plasmodium falciparum genetics, RNA, Protozoan chemistry, Real-Time Polymerase Chain Reaction, Recombinant Proteins chemistry, Recombinant Proteins genetics, Recombinant Proteins immunology, Recombinant Proteins metabolism, Sequence Alignment, Transfection, Aminopeptidases metabolism, Erythrocyte Deformability physiology, Plasmodium falciparum enzymology
- Abstract
Infection with the apicomplexan parasite Plasmodium falciparum is a major cause of morbidity and mortality worldwide. One of the striking features of this parasite is its ability to remodel and decrease the deformability of host red blood cells, a process that contributes to disease. To further understand the virulence of Pf we investigated the biochemistry and function of a putative Pf S33 proline aminopeptidase (PfPAP). Unlike other P. falciparum aminopeptidases, PfPAP contains a predicted protein export element that is non-syntenic with other human infecting Plasmodium species. Characterization of PfPAP demonstrated that it is exported into the host red blood cell and that it is a prolyl aminopeptidase with a preference for N-terminal proline substrates. In addition genetic deletion of this exopeptidase was shown to lead to an increase in the deformability of parasite-infected red cells and in reduced adherence to the endothelial cell receptor CD36 under flow conditions. Our studies suggest that PfPAP plays a role in the rigidification and adhesion of infected red blood cells to endothelial surface receptors, a role that may make this protein a novel target for anti-disease interventions strategies., (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Published
- 2016
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41. Covariance Between Genotypic Effects and its Use for Genomic Inference in Half-Sib Families.
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Wittenburg D, Teuscher F, Klosa J, and Reinsch N
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- Animals, Bayes Theorem, Cattle, Genetics, Population, Genomics, Genotype, Haplotypes, Linkage Disequilibrium, Models, Genetic, Pedigree, Siblings, Genetic Linkage, Genome genetics, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics
- Abstract
In livestock, current statistical approaches utilize extensive molecular data, e.g., single nucleotide polymorphisms (SNPs), to improve the genetic evaluation of individuals. The number of model parameters increases with the number of SNPs, so the multicollinearity between covariates can affect the results obtained using whole genome regression methods. In this study, dependencies between SNPs due to linkage and linkage disequilibrium among the chromosome segments were explicitly considered in methods used to estimate the effects of SNPs. The population structure affects the extent of such dependencies, so the covariance among SNP genotypes was derived for half-sib families, which are typical in livestock populations. Conditional on the SNP haplotypes of the common parent (sire), the theoretical covariance was determined using the haplotype frequencies of the population from which the individual parent (dam) was derived. The resulting covariance matrix was included in a statistical model for a trait of interest, and this covariance matrix was then used to specify prior assumptions for SNP effects in a Bayesian framework. The approach was applied to one family in simulated scenarios (few and many quantitative trait loci) and using semireal data obtained from dairy cattle to identify genome segments that affect performance traits, as well as to investigate the impact on predictive ability. Compared with a method that does not explicitly consider any of the relationship among predictor variables, the accuracy of genetic value prediction was improved by 10-22%. The results show that the inclusion of dependence is particularly important for genomic inference based on small sample sizes., (Copyright © 2016 Wittenburg et al.)
- Published
- 2016
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42. Mendelian sampling covariability of marker effects and genetic values.
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Bonk S, Reichelt M, Teuscher F, Segelke D, and Reinsch N
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- Animals, Female, Genotype, Male, Phenotype, Breeding, Cattle genetics, Genetic Markers, Genetic Variation, Models, Genetic
- Abstract
Background: Measures of the expected genetic variability among full-sibs are of practical relevance, such as in the context of mating decisions. An important application field in animal and plant breeding is the selection and allocation of mates when large or small amounts of genetic variability among offspring are desired, depending on user-specific goals. Estimates of the Mendelian sampling variance can be obtained by simulating gametes from parents with known diplotypes. Knowledge of recombination rates and additive marker effects is also required. In this study, we aimed at developing an exact method that can account for both additive and dominance effects., Results: We derived parent-specific covariance matrices that exactly quantify the within-family (co-)variability of additive and dominance marker effects. These matrices incorporate prior knowledge of the parental diplotypes and recombination rates. When combined with additive marker effects, they allow the exact derivation of the Mendelian sampling (co-)variances of (estimated) breeding values for several traits, as well for the aggregate genotype. A comparative analysis demonstrated good average agreement between the exact values and the simulation results for a practical dataset (74,353 German Holstein cattle)., Conclusions: The newly derived method is suitable for calculating the exact amount of intra-family variation of the estimated breeding values and genetic values (comprising additive and dominance effects).
- Published
- 2016
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43. Fatty acid synthesis and pyruvate metabolism pathways remain active in dihydroartemisinin-induced dormant ring stages of Plasmodium falciparum.
- Author
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Chen N, LaCrue AN, Teuscher F, Waters NC, Gatton ML, Kyle DE, and Cheng Q
- Subjects
- Acetyl-CoA Carboxylase antagonists & inhibitors, Acetyl-CoA Carboxylase genetics, Acetyl-CoA Carboxylase metabolism, Antimalarials pharmacology, Apicoplasts drug effects, Apicoplasts genetics, Apicoplasts metabolism, Artemisinins pharmacology, Enoyl-(Acyl-Carrier-Protein) Reductase (NADH) antagonists & inhibitors, Enoyl-(Acyl-Carrier-Protein) Reductase (NADH) genetics, Enoyl-(Acyl-Carrier-Protein) Reductase (NADH) metabolism, Enzyme Inhibitors pharmacology, Erythrocytes drug effects, Erythrocytes parasitology, Gene Expression Regulation, Humans, Life Cycle Stages drug effects, Metabolic Networks and Pathways drug effects, Metabolic Networks and Pathways genetics, Mitochondria drug effects, Mitochondria genetics, Mitochondria metabolism, Mitochondrial Proteins genetics, Plasmodium falciparum drug effects, Plasmodium falciparum genetics, Plasmodium falciparum growth & development, Protozoan Proteins genetics, Transcription, Genetic, Fatty Acids biosynthesis, Life Cycle Stages genetics, Mitochondrial Proteins metabolism, Plasmodium falciparum metabolism, Protozoan Proteins metabolism, Pyruvates metabolism
- Abstract
Artemisinin (ART)-based combination therapy (ACT) is used as the first-line treatment of uncomplicated falciparum malaria worldwide. However, despite high potency and rapid action, there is a high rate of recrudescence associated with ART monotherapy or ACT long before the recent emergence of ART resistance. ART-induced ring-stage dormancy and recovery have been implicated as possible causes of recrudescence; however, little is known about the characteristics of dormant parasites, including whether dormant parasites are metabolically active. We investigated the transcription of 12 genes encoding key enzymes in various metabolic pathways in P. falciparum during dihydroartemisinin (DHA)-induced dormancy and recovery. Transcription analysis showed an immediate downregulation for 10 genes following exposure to DHA but continued transcription of 2 genes encoding apicoplast and mitochondrial proteins. Transcription of several additional genes encoding apicoplast and mitochondrial proteins, particularly of genes encoding enzymes in pyruvate metabolism and fatty acid synthesis pathways, was also maintained. Additions of inhibitors for biotin acetyl-coenzyme A (CoA) carboxylase and enoyl-acyl carrier reductase of the fatty acid synthesis pathways delayed the recovery of dormant parasites by 6 and 4 days, respectively, following DHA treatment. Our results demonstrate that most metabolic pathways are downregulated in DHA-induced dormant parasites. In contrast, fatty acid and pyruvate metabolic pathways remain active. These findings highlight new targets to interrupt recovery of parasites from ART-induced dormancy and to reduce the rate of recrudescence following ART treatment., (Copyright © 2014, American Society for Microbiology. All Rights Reserved.)
- Published
- 2014
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44. Calculation of identity-by-descent probabilities of short chromosome segments.
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Tuchscherer A, Teuscher F, and Reinsch N
- Subjects
- Animals, Inbreeding, Inheritance Patterns genetics, Probability, Alleles, Chromosomes genetics, Models, Genetic
- Abstract
For some purposes, identity-by-descent (IBD) probabilities for entire chromosome segments are required. Making use of pedigree information, length of the segment and the assumption of no crossing-over, a generalization of a previously published graph theory oriented algorithm accounting for nonzero IBD of common ancestors is given, which can be viewed as method of path coefficients for entire chromosome segments. Furthermore, rules for setting up a gametic version of a segmental IBD matrix are presented. Results from the generalized graph theory oriented method, the gametic segmental IBD matrix and the segmental IBD matrix for individuals are identical., (© 2012 Blackwell Verlag GmbH.)
- Published
- 2012
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45. Phenotypic changes in artemisinin-resistant Plasmodium falciparum lines in vitro: evidence for decreased sensitivity to dormancy and growth inhibition.
- Author
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Teuscher F, Chen N, Kyle DE, Gatton ML, and Cheng Q
- Subjects
- Animals, Cell Culture Techniques, Drug Resistance, Erythrocytes drug effects, Erythrocytes parasitology, Genotype, Humans, Inhibitory Concentration 50, Malaria, Falciparum metabolism, Malaria, Falciparum parasitology, Microscopy, Parasitic Sensitivity Tests, Phenotype, Plasmodium falciparum genetics, Plasmodium falciparum metabolism, Recurrence, Antimalarials pharmacology, Artemisinins pharmacology, Life Cycle Stages drug effects, Malaria, Falciparum drug therapy, Plasmodium falciparum drug effects
- Abstract
The appearance of Plasmodium falciparum parasites with decreased in vivo sensitivity but no measurable in vitro resistance to artemisinin has raised the urgent need to characterize the artemisinin resistance phenotype. Changes in the temporary growth arrest (dormancy) profile of parasites may be one aspect of this phenotype. In this study, we investigated the link between dormancy and resistance, using artelinic acid (AL)-resistant parasites. Our results demonstrate that the AL resistance phenotype has (i) decreased sensitivity of mature-stage parasites, (ii) decreased sensitivity of the ring stage to the induction of dormancy, and (iii) a faster recovery from dormancy.
- Published
- 2012
- Full Text
- View/download PDF
46. Artemisinin-induced parasite dormancy: a plausible mechanism for treatment failure.
- Author
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Codd A, Teuscher F, Kyle DE, Cheng Q, and Gatton ML
- Subjects
- Animals, Models, Statistical, Plasmodium falciparum growth & development, Treatment Failure, Antimalarials pharmacology, Artemisinins pharmacology, Malaria, Falciparum drug therapy, Plasmodium falciparum drug effects
- Abstract
Background: Artemisinin-combination therapy is a highly effective treatment for uncomplicated falciparum malaria but parasite recrudescence has been commonly reported following artemisinin (ART) monotherapy. The dormancy recovery hypothesis has been proposed to explain this phenomenon, which is different from the slower parasite clearance times reported as the first evidence of the development of ART resistance., Methods: In this study, an existing P. falciparum infection model is modified to incorporate the hypothesis of dormancy. Published in vitro data describing the characteristics of dormant parasites is used to explore whether dormancy alone could be responsible for the high recrudescence rates observed in field studies using monotherapy. Several treatment regimens and dormancy rates were simulated to investigate the rate of clinical and parasitological failure following treatment., Results: The model output indicates that following a single treatment with ART parasitological and clinical failures occur in up to 77% and 67% of simulations, respectively. These rates rapidly decline with repeated treatment and are sensitive to the assumed dormancy rate. The simulated parasitological and clinical treatment failure rates after 3 and 7 days of treatment are comparable to those reported from several field trials., Conclusions: Although further studies are required to confirm dormancy in vivo, this theoretical study adds support for the hypothesis, highlighting the potential role of this parasite sub-population in treatment failure following monotherapy and reinforcing the importance of using ART in combination with other anti-malarials.
- Published
- 2011
- Full Text
- View/download PDF
47. Statistical tools to detect genetic variation for a sex dimorphism in piglet birth weight.
- Author
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Wittenburg D, Teuscher F, and Reinsch N
- Subjects
- Animals, Female, Male, Statistics as Topic, Survival Analysis, X Chromosome, Y Chromosome, Birth Weight genetics, Genetic Variation, Sex Characteristics, Swine genetics, Swine physiology
- Abstract
Sex differences in birth weight contribute to within-litter variability, which itself is connected to piglet survival. Therefore, we studied whether the sex difference in piglet birth weight is a genetically variable sex dimorphism. For that purpose a linear mixed model including sex-specific additive genetic effects was set up. A hypothesis testing problem was defined to detect whether these genetic effects significantly differ between sexes. In a second step, the effect of sex-linked genes was studied explicitly by partitioning the additive genetic effects into autosomal and gonosomal effects. Furthermore, a definition of heritability for the sex difference of a randomly chosen pair of littermates with opposite sex was given. The proposed models were applied separately to a Landrace and Large White data set. Significant genetic variability for the sex dimorphism was found in Landrace (P = 0.03) but not in Large White (P = 0.10). Heritability estimates were at 3 to 5% depending on the model. The X-chromosomal genetic variation was not significant (P > 0.18) at all, whereas the Y-chromosome significantly (P < 0.01) contributed to the genetic variation in Landrace with a corresponding SD of 34 g. It can be concluded that the sex dimorphism of piglet birth weight is genetically variable and a potential target of genetic improvement.
- Published
- 2011
- Full Text
- View/download PDF
48. Analysis of birth weight variability in pigs with respect to liveborn and total born offspring.
- Author
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Wittenburg D, Guiard V, Teuscher F, and Reinsch N
- Subjects
- Animals, Female, Linear Models, Male, Sex Factors, Swine genetics, Animals, Newborn anatomy & histology, Birth Weight genetics, Swine anatomy & histology
- Abstract
Reduction in the variability of piglet birth weight within litter and increased piglet survival are key objective in schemes aiming to improve sow prolificacy. In previous studies, variation in birth weight was described by the sample standard deviation of birth weights within one litter, and the genetic impact has been proved. In this study, we additionally considered the sex effect on piglet's birth weight and on its variability. The sample variance of birth weights per litter separated by sex was assigned as a trait of the sow. Different transformations of the trait were fitted by linear and generalized linear mixed models. Based on 1111 litters from Landrace sows, the estimates of heritability for the different measures ranged from 11 to 12%. We analysed the influence of including birth weight of stillborn piglets on the variability of birth weight within litter. With omitted stillborns, the heritability was estimated approximately 2% higher than that in investigations of all born piglets, and the impact of sex on birth weight variability was increased. Because the proportion of intrapartum deaths is rather high, it is recommended to consider the total number of piglets born per litter when analysing birth weight variation., (© 2010 Blackwell Verlag GmbH.)
- Published
- 2011
- Full Text
- View/download PDF
49. Artemisinin‐induced dormancy in plasmodium falciparum: duration, recovery rates, and implications in treatment failure.
- Author
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Teuscher F, Gatton ML, Chen N, Peters J, Kyle DE, and Cheng Q
- Subjects
- Mefloquine pharmacology, Time Factors, Antimalarials pharmacology, Artemisinins pharmacology, Microbial Viability drug effects, Plasmodium falciparum drug effects
- Abstract
Background: Despite the remarkable activity of artemisinin and its derivatives, monotherapy with these agents has been associated with high rates of recrudescence. The temporary arrest of the growth of ring-stage parasites (dormancy) after exposure to artemisinin drugs provides a plausible explanation for this phenomenon., Methods: Ring-stage parasites of several Plasmodium falciparum lines were exposed to different doses of dihydroartemisinin (DHA) alone or in combination with mefloquine. For each regime, the proportion of recovering parasites was determined daily for 20 days., Results: Parasite development was abruptly arrested after a single exposure to DHA, with some parasites being dormant for up to 20 days. Approximately 50% of dormant parasites recovered to resume growth within the first 9 days. The overall proportion of parasites recovering was dose dependent, with recovery rates ranging from 0.044% to 1.313%. Repeated treatment with DHA or with DHA in combination with mefloquine led to a delay in recovery and an approximately 10-fold reduction in total recovery. Strains with different genetic backgrounds appeared to vary in their capacity to recover., Conclusions: These results imply that artemisinin-induced arrest of growth occurs readily in laboratory-treated parasites and may be a key factor in P. falciparum malaria treatment failure.
- Published
- 2010
- Full Text
- View/download PDF
50. Callyaerins A-F and H, new cytotoxic cyclic peptides from the Indonesian marine sponge Callyspongia aerizusa.
- Author
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Ibrahim SR, Min CC, Teuscher F, Ebel R, Kakoschke C, Lin W, Wray V, Edrada-Ebel R, and Proksch P
- Subjects
- Animals, Anti-Infective Agents isolation & purification, Antineoplastic Agents isolation & purification, Bacteria drug effects, Bacterial Infections drug therapy, Candida albicans drug effects, Candidiasis drug therapy, Cell Line, Tumor, Drug Screening Assays, Antitumor, Humans, Molecular Structure, Neoplasms drug therapy, Peptides, Cyclic chemistry, Peptides, Cyclic isolation & purification, Peptides, Cyclic pharmacology, Anti-Infective Agents chemistry, Anti-Infective Agents pharmacology, Antineoplastic Agents chemistry, Antineoplastic Agents pharmacology, Callyspongia chemistry
- Abstract
Bioassay guided fractionation of the EtOAc fraction of the sponge Callyspongia aerizusa yielded seven new cytotoxic cyclic peptides callyaerins A-F (1-6) and H (8). Their structures were determined using extensive 1D (1H, 13C and DEPT) and 2D (COSY, HMQC, HMBC, TOCSY, and ROESY) NMR and mass spectral (ESI and HRESI-TOF) data. All compounds were cyclic peptides containing ring systems of 5-9 amino acids and side chains of 2-5 amino acids in length. An unusual (Z)-2,3-diaminoacrylic acid unit provided the template for ring closure and afforded the linkage to the peptidic side chain which was always initiated with a proline moiety. All peptides contained three or more proline residues and the remaining residues were predominantly hydrophobic residues with all amino acids present in the l form. Callyaerins A-F (1-6) and H (8) showed biological activity in antibacterial assays and in various cytotoxicity assays employing different tumour cell-lines (L5178Y, HeLa, and PC12). Callyaerins E (5) and H (8) exhibited strong activity against the L5178Y cell line with ED50 values of 0.39 and 0.48 microM, respectively. On the other hand, callyaerin A (1) showed strong inhibitory properties towards C. albicans., (Copyright (c) 2010 Elsevier Ltd. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
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