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Search Results: 1 - 10 of 2171 matches for " Ingrid Teich "
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Assessing spatial genetic structure from molecular marker data via principal component analyses: A case study in a Prosopis sp. forest  [PDF]
Ingrid Teich, Aníbal Verga, Mónica Balzarini
Advances in Bioscience and Biotechnology (ABB) , 2014, DOI: 10.4236/abb.2014.52013
Abstract:

Advances in genotyping technology, such as molecular markers, have noticeably improved our capacity to characterize genomes at multiple loci. Concomitantly, the methodological framework to analyze genetic data has expanded, and keeping abreast with the latest statistical developments to analyze molecular marker data in the context of spatial genetics has become a difficult task. Most methods in spatial statistics are devoted to univariate data whereas the nature of molecular marker data is highly dimensional. Multivariate methods are aimed at finding proximities between entities characterized by multiple variables by summarizing information in few synthetic variables. In particular, Principal Component analysis (PCA) has been used to study genetic structure of geo-referenced allele frequency profiles, incorporating spatial information with a posteriori analysis. Conversely, the recently developed spatially restricted PCA (sPCA) explicitly includes spatial data in the optimization criterion. In this work, we compared the results of the application of PCA and sPCA in the study of the spatial genetic structure at fine scale of a Prosopis flexuosa and P. chilensis hybrid swarm. Data consisted in the genetic characterization of 87 trees sampled in Córdoba, Argentina and genotyped at six microsatellites, which yielded 72 alleles. As expected, principal components explained more variance than sPCA components, but were less spatially autocorrelated. The maps obtained by the interpolation of sPC1 values allowed a better visualization of a patchy spatial pattern of genetic variability than the PC1 synthetic map. We also proposed a PC-sPC scatter plot of allele loadings to better understand the allele contributions to spatial genetic variability.

Making genetic biodiversity measurable: a review of statistical multivariate methods to study variability at gene level
Balzarini,Mónica; Teich,Ingrid; Bruno,Cecilia; Pe?a,Andrea;
Revista de la Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo , 2011,
Abstract: measures of agro-ecosystems genetic variability are essential to sustain scientific-based actions and policies tending to protect the ecosystem services they provide. to build the genetic variability datum it is necessary to deal with a large number and different types of variables. molecular marker data is highly dimensional by nature, and frequently additional types of information are obtained, as morphological and physiological traits. this way, genetic variability studies are usually associated with the measurement of several traits on each entity. multivariate methods are aimed at finding proximities between entities characterized by multiple traits by summarizing information in few synthetic variables. in this work we discuss and illustrate several multivariate methods used for different purposes to build the datum of genetic variability. we include methods applied in studies for exploring the spatial structure of genetic variability and the association of genetic data to other sources of information. multivariate techniques allow the pursuit of the genetic variability datum, as a unifying notion that merges concepts of type, abundance and distribution of variability at gene level.
Dynamical Phase Transitions in Quantum Systems  [PDF]
Ingrid Rotter
Journal of Modern Physics (JMP) , 2010, DOI: 10.4236/jmp.2010.15043
Abstract: Many years ago Bohr characterized the fundamental differences between the two extreme cases of quantum mechanical many-body problems known at that time: between the compound states in nuclei at extremely high level density and the shell-model states in atoms at low level density. It is shown in the present paper that the compound nucleus states at high level density are the result of a dynamical phase transition due to which they have lost any spectroscopic relation to the individual states of the nucleus. The last ones are shell-model states which are of the same type as the shell-model states in atoms. Mathematically, dynamical phase transitions are caused by singular (exceptional) points at which the trajectories of the eigenvalues of the non-Hermitian Hamilton operator cross. In the neighborhood of these singular points, the phases of the eigenfunctions are not rigid. It is possible therefore that some eigenfunctions of the system align to the scattering wavefunctions of the environment by decoupling (trapping) the remaining ones from the environment. In the Schrödinger equation, nonlinear terms appear in the neighborhood of the singular points.
挤压光和反聚束光(下)
Teich,MC 李玲
红外 , 1991,
Abstract:
挤压光和反聚束光(上)
Teich,M 李玲
红外 , 1991,
Abstract:
Proceedings of the First Workshop on Resource Awareness and Adaptivity in Multi-Core Computing (Racing 2014)
Frank Hannig,Jürgen Teich
Computer Science , 2014,
Abstract: This volume contains the papers accepted at the 1st Workshop on Resource Awareness and Adaptivity in Multi-Core Computing (Racing 2014), held in Paderborn, Germany, May 29-30, 2014. Racing 2014 was co-located with the IEEE European Test Symposium (ETS).
Pig Compost Use on Zinc and Copper Concentrations in Soils and Corn Plants  [PDF]
Juan Hirzel, Ingrid Walter
American Journal of Plant Sciences (AJPS) , 2015, DOI: 10.4236/ajps.2015.64057
Abstract: The use of pig compost (PC) in agricultural land has increased in Chile in the last years. This organic amendment is a valuable nutritional source for crops, but its applying must be done in a controlled manner since it exhibited high copper (Cu) and zinc (Zn) concentrations. A short-term field experiment was conducted out to study the effects of increasing PC rates on the production and quality corn crop in two soils located at south central Chile. Five treatments were evaluated: control without fertilization (C), conventional fertilization (CF) (350 kg N ha-1), and three increasing PC rates (15.33, 30.65, and 61.31 Mg·ha-1, corresponding to 350, 700, and 1400 kg N ha-1, respectively) in a split plot design with four replicates. The overall results indicated that dry matter production, grain yield, and plant Zn and Cu concentrations were similar among fertilization sources and rates. Extractable soil Zn concentration exhibited a rate-related increase of PC in both locations, while Cu concentration exhibited this behavior only at the soil located in Chillan. Nevertheless, the values obtained were below of those considered phytotoxic levels. Therefore, the contribution of Zn and Cu through PC applying at different rates to the soils studied showed a slight affect in soil extractable Zn and Cu values without negatively effects on quantity and quality corn crop. The organic amendment applied can be a good and cheaper substitute to conventional fertilization, although further monitoring of Zn and Cu soil levels should be carried out to avoid any environmental risk.
Patient Perspectives of Sharing Experiences in Group-Based Diabetes Education: A Second-Order Analysis  [PDF]
Vibeke Stenov, Ingrid Willaing
Psychology (PSYCH) , 2016, DOI: 10.4236/psych.2016.71003
Abstract: The study aimed to develop a second-order theoretical analysis based on qualitative interviews exploring the experiences of persons with diabetes attending group-based diabetes education. Bruner’s cultural psychology and White and Epston’s narrative therapy provided a theoretical foundation for the analysis. The analysis indicated that telling and listening to stories from everyday life with diabetes in a peer group can assist participants in reinterpreting ways of living with diabetes. Sharing experiences with peers in group-based diabetes education seems to be supportive and useful when individuals are trying to find strategies to cope with diabetes in everyday life.
The Health and Well-Being among Children with Diabetes and Low HbA1c—A Qualitative Study in Sweden  [PDF]
Lena Lendahls, Ingrid Edvardsson
Health (Health) , 2018, DOI: 10.4236/health.2018.105044
Abstract: Aims and objectives: To examine health and well-being, as well as the need for support among children and parents where the child has T1DM with low HbA1c (<52 mmol/mole). The purpose was also to investigate the extent to which children’s and parents’ experiences match. Introduction: Studies have shown that children with diabetes type 1 (T1DM) rate their lives as worse than healthy peer ratings. In Sweden, views have been expressed that children, as well as their parents, feel pressurized by the diabetes teams to achieve low HbA1c values, which can lead to poorer mental health for the family. Design: A qualitative study. Methods: A consecutive sample of 11 children and their parents (one father, ten mothers) was interviewed together but individually guided by a semi structured interview guide. Interviews were analyzed using thematic content analysis. Results: Four main categories were consistent across children and their parents; 1) attitude to the illness, 2) sadness about diabetes, 3) the importance of the social network, and 4) the importance of the diabetes team. Worries about hyperglycemia were more prominent than worries about hypoglycemia in both children and parents. A distinguishing feature of the interviewed children was that they were responsible, strict and targeted. Many of them were competitive and took part in various sports, even at a very advanced level. Conclusions: This study shows that children with low HbA1c values experience good health and good well-being. Family support, good planning, and high acceptance of their illness contributed to this.
Effects of the Cryptochrome CryB from Rhodobacter sphaeroides on Global Gene Expression in the Dark or Blue Light or in the Presence of Singlet Oxygen
Sebastian Frühwirth, Kristin Teich, Gabriele Klug
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0033791
Abstract: Several regulators are controlling the formation of the photosynthetic apparatus in the facultatively photosynthetic bacterium Rhodobacter sphaeroides. Among the proteins affecting photosynthesis gene expression is the blue light photoreceptor cryptochrome CryB. This study addresses the effect of CryB on global gene expression. The data reveal that CryB does not only influence photosynthesis gene expression but also genes for the non-photosynthetic energy metabolism like citric acid cycle and oxidative phosphorylation. In addition several genes involved in RNA processing and in transcriptional regulation are affected by a cryB deletion. Although CryB was shown to undergo a photocycle it does not only affect gene expression in response to blue light illumination but also in response to singlet oxygen stress conditions. While there is a large overlap in these responses, some CryB-dependent effects are specific for blue-light or photooxidative stress. In addition to protein-coding genes some genes for sRNAs show CryB-dependent expression. These findings give new insight into the function of bacterial cryptochromes and demonstrate for the first time a function in the oxidative stress response.
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