Apartment performance and employment distribution : a study of two cities

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1988.Includes bibliographical references.by Daniel A. Pedrotti, Jr.M.S

Métodos para tomar decisiones en grupo: comparación entre procesos drv y smaa

The paper compares two methods developed to aid group decision making. They are the DRV Processes and SMAA methods. It contains synthetic descriptions of both methods. An example allows the quantitative comparison. Similarity and differences are identified between both approach analyses. Finally concludes with the argument that both proposals are different due to small differences in the problems they intend to solve.El presente artículo compara dos métodos desarrollados para la toma de decisiones en equipo: los procesos DRV y los métodos SMAA. Este trabajo presenta una descripción sintética de ambos métodos y exhibe un ejemplo real que permite la comparación de ambas técnicas. Se identifican similitudes y diferencias entre ambos enfoques. Finalmente se concluye observando que ambas propuestas son diferentes debido a pequeñas diferencias en los problemas que pretenden resolver

Métodos para tomar decisiones en grupo: Comparación entre Procesos DRV y SMAA

The paper compares two methods developed to aid group decision making. They are the DRV Processes and SMAA methods. It contains synthetic descriptions of both methods. An example allows the quantitative comparison. Similarity and differences are identified between both approach analysis. Finally concludes with the argument that both proposals are different due to small differences in the problems they intend to solve.Sociedad Argentina de Informática e Investigación Operativ

Promoter sequence of Shiga Toxin II (Stx2) is recognized in vivo leading to the production of biologically active Stx2

Shiga toxins (Stxs) are the main agent responsible for the development of hemolytic uremic syndrome (HUS), the most severe and life-threatening systemic complication of infection with enterohemorrhagic Escherichia coli (EHEC) strains. We previously reported Stx2 expression by eukaryotic cells after they were transfected in vitro with the stx2 gene cloned into a prokaryotic plasmid (pStx2). The aim of this study was to evaluate whether mammalian cells were also able to express Stx2 in vivo after pStx2 injection. Mice were inoculated by hydrodynamic based transfection (HBT) with pStx2. We studied the survival, the percentage of polymorphonuclear leukocytes in plasma, plasma urea levels and histology of the kidney and the brain of mice. Mice displayed a lethal dose-response to pStx2. Stx2-mRNA was recovered from the liver and Stx2 cytotoxic activity was observed in plasma of mice injected with pStx2. Stx2 was detected by immunofluorescence in the brains of mice inoculated with pStx2, and markers of central nervous system (CNS) damage were observed, including increased expression of glial fibrillary acidic protein (GFAP) and fragmentation of NeuN in neurons. Moreover, anti-Stx2B immunized mice were protected against pStx2 inoculation. Our results show that Stx2 is expressed in vivo from the wild stx2 gene, reproducing pathogenic damage induced by purified Stx2 or secondary to EHEC-infection.Fil: Bentancor, Leticia Veronica. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Ingeniería Genética y Biología Molecular y Celular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental; ArgentinaFil: Mejias, Maria Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental; ArgentinaFil: Pinto, Alípio. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas; ArgentinaFil: Bilen, Marcos Fabian. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Ingeniería Genética y Biología Molecular y Celular; ArgentinaFil: Meiss, Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental; ArgentinaFil: Rodriguez Galan, Maria Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; ArgentinaFil: Baez, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; ArgentinaFil: Pedrotti, Luciano Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; ArgentinaFil: Goldstein Raij, Jorge. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Ciencias Fisiológicas. Laboratorio de Fisiopatogenia; ArgentinaFil: Ghiringhelli, Pablo Daniel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Ingeniería Genética y Biología Molecular y Celular; ArgentinaFil: Palermo, Marina Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental. Academia Nacional de Medicina de Buenos Aires. Instituto de Medicina Experimental; Argentin

Large herbivore migration plasticity along environmental gradients in Europe: life-history traits modulate forage effects

The most common framework under which ungulate migration is studied predicts that it is driven by spatio–temporal variation in plant phenology, yet other hypotheses may explain differences within and between species. To disentangle more complex patterns than those based on single species/ single populations, we quantified migration vari-ability using two sympatric ungulate species differing in their foraging strategy, mating system and physiological constraints due to body size. We related observed variation to a set of hypotheses. We used GPS-collar data from 537 individuals in 10 roe Capreolus capreolus and 12 red deer Cervus elaphus populations spanning environmental gra-dients across Europe to assess variation in migration propensity, distance and tim-ing. Using time-to-event models, we explored how the probability of migration varied in relation to sex, landscape (e.g. topography, forest cover) and temporally-varying environmental factors (e.g. plant green-up, snow cover). Migration propensity varied across study areas. Red deer were, on average, three times more migratory than roe deer (56% versus 18%). This relationship was mainly driven by red deer males which were twice as migratory as females (82% versus 38%). The probability of roe deer migration was similar between sexes. Roe deer (both sexes) migrated earliest in spring. While territorial male roe deer migrated last in autumn, male and female red deer migrated around the same time in autumn, likely due to their polygynous mating system. Plant productivity determined the onset of spring migration in both species, but if plant productivity on winter ranges was sufficiently high, roe deer were less likely to leave. In autumn, migration coincided with reduced plant productivity for both species. This relationship was stronger for red deer. Our results confirm that ungulate migration is influenced by plant phenology, but in a novel way, that these effects appear to be modulated by species-specific traits, especially mating strategies.publishedVersio

The ocean sampling day consortium.

Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world's oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits

The ocean sampling day consortium

Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits

Clinical Learning Environment And Graduating Nursing Students’ Competence: A Multi‐Country Cross‐Sectional Study

The purpose of this study was to explore nursing students’ perceptions of their final clinical learning environment and its association with their self‐assessed competence, satisfaction with nursing education and turnover intentions at graduation in six European countries. A multi‐country comparative cross‐sectional study was conducted with nursing students (n = 1,746) from the Czech Republic, Finland, Italy, Portugal, Slovakia and Spain using the Nurse Competence Scale and the Clinical Learning Environment and Supervision scale. Nursing students’ overall perceptions of their final clinical learning environment and supervision were positive in all the countries studied. The correlation between the students’ perceptions of their final clinical learning environment and competence was statistically significant and positive. Satisfaction with the nursing programme and clinical practicum and no consideration of career change were related to positive perceptions of the final clinical learning environment. Highlighting the importance of the supervisory relationship and pedagogical atmosphere, nursing students’ positive perceptions of the final clinical learning environment and supervision contribute to a better level of self‐assessed competence and satisfaction with the nursing programme and clinical practicum, leading to lower turnover intentions.</p

Aplicación de multi-metodologías para la gestión y evaluación de sistemas sociales y tecnológicos. Tomo I

Capítulo 1. Eficiencia en investigación y desarrollo en países de latinoamericanos ; capítulo 2. Evaluación de gestión de la justicia en las provincias argentinas ; capítulo 3. Métodos de clasificación y ordenamiento aplicados a la medición del bien estar social de países latinoamericanos ; capítulo 4. Aplicaciones del método topsis con variables lingüísticas ; capitulo 5. Aplicación del método analítico jerárquico para elegir la fórmula presidencial a votar. Caso de estudio en un curso electivo de I.O. ; capítulo 6. Utilización del modelo de flujo de costo mínimo para la optimización en redes ; capítulo 7. El problema de la gestión de residuos patógenos en la Universidad Nacional de Córdoba. Una aproximación a su estructura ; capítulo 8. Soft systems methodology for impovements in a program of urban food harvest ; capítulo 9. Estructuración de problemas con investigación operativa soft. Selección de personal outsourcing para el desarrollo de sistemas de software ; capítulo 10. Elicitación de factores incidentes en la elección de una carrera universitaria ; capítulo 11. Toma de decisiones en grupo: el método procesos DRV. ; capítulo 12. Métodos para tomar decisiones en grupo: comparación entre procesos DRV y SMAA ; capítulo 13. Indicador global de seguimiento para una biblioteca universitaria ; la cosntrucción de un consenso de trabajo en equipo. Una aplicación en la industria farmaceúticaEl libro es un compilado de trabajos de investigación realizados por un grupo de docentes investigadores de la Universidad Nacional de Córdoba, Argentina, la mayoría de los autores realizan sus actividades en la Facultad de Ciencias Económicas y en Ciencias Exactas, Físicas y Naturales. En los catorce capítulos que se presentan en el libro, se describen, analizan y aplican metodologías cuantitativas a problemas complejos, problemas que se presentan en la gestión de diversos sistemas socio-técnicos. Entre las herramientas utilizadas, se destacan modelos diversos para la toma de decisiones, encuadradas en la disciplina investigación operativaFil: Zanazzi, José Luis. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Alberto, Catalina Lucía. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Carignano, Claudia Etna. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Boaglio, Laura Leonor. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Cabrera, Gabriela Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Castellini, María Alejandra. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina.Fil: Conforte, José María. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Curchod, Miguel Ángel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Delgado Fernández, Mercedes. Instituto Superior Politécnico José Antonio Echeverría. Facultad de Ingeniería Industrial; Cuba.Fil:Dimitroff, Magdalena. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina..Fil: Ercole, Raúl Alberto. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Funes, Mariana. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: González, Analía. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Guevel, Hernán. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Massari, Paulina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Minoli, Santiago. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Monteiro Gómes, Luis Flavio A. Instituto Brasileiro de Mercado de Capitais; Brasil.Fil: Passoni, Lucía Isabel. Universidad Nacional de Mar del Plata; Argentina.Fil: Pedrotti, Beatriz Isabel. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Pontelli, Daniel Alberto. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Racagni, Josefina. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Salomon, Alicia Guillermina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Zanazzi, José Francisco. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina