High-momentum proton removal from 16 O and the (e,e'p) cross section

The cross section for the removal of high-momentum protons from 16O is calculated for high missing energies. The admixture of high-momentum nucleons in the 16O ground state is obtained by calculating the single-hole spectral function directly in the finite nucleus with the inclusion of short-range and tensor correlations induced by a realistic meson-exchange interaction. The presence of high-momentum nucleons in the transition to final states in 15N at 60¿100 MeV missing energy is converted to the coincidence cross section for the (e,e¿p) reaction by including the coupling to the electromagnetic probe and the final state interactions of the outgoing proton in the same way as in the standard analysis of the experimental data. Detectable cross sections for the removal of a single proton at these high missing energies are obtained which are considerably larger at higher missing momentum than the corresponding cross sections for the p-wave quasihole transitions. Cross sections for these quasihole transitions are compared with the most recent experimental data available.

Ferromagnetic instabilities in neutron matter at finite temperature with the Skyrme interaction

The properties of spin-polarized neutron matter are studied at both zero and finite temperature using Skyrme-type interactions. It is shown that the critical density at which ferromagnetism takes place decreases with temperature. This unexpected behavior is associated to an anomalous behavior of the entropy that becomes larger for the polarized phase than for the unpolarized one above a certain critical density. This fact is a consequence of the dependence of the entropy on the effective mass of the neutrons with different third spin component. A new constraint on the parameters of the effective Skyrme force is derived if this behavior is to be avoided.

Multifactorial interaction of growth factors on Penaeus monodon lymphoid cells and the impact of IGFs in DNA synthesis and metabolic activity in vitro

Development of continuous cell lines from shrimp is essential to investigate viral pathogens. Unfortunately, there is no valid cell line developed from crustaceans in general and shrimps in particular to address this issue. Lack of information on the requirements of cells in vitro limits the success of developing a cell line, where the microenvironment of a cell culture, provided by the growthmedium, is of prime importance. Screening and optimization of growth medium components based on statistical experimental designs have been widely used for improving the efficacy of cell culture media. Accordingly, we applied Plackett–Burman design and response surface methodology to study multifactorial interactions between the growth factors in shrimp cell culture medium and to identify the most important ones for growth of lymphoid cell culture from Penaeus monodon. The statistical screening and optimization indicated that insulin like growth factor-I (IGF-I) and insulin like growth factor-II (IGF-II) at concentrations of 100 and 150 ng ml-1, respectively, could significantly influence the metabolic activity and DNA synthesis of the lymphoid cells. An increase of 53 % metabolic activity and 24.8 % DNA synthesis could be obtained, which suggested that IGF-I and IGFII had critical roles in metabolic activity and DNA synthesis of shrimp lymphoid cells

Teaching an Old Robot New Tricks: Learning Novel Tasks via Interaction with People and Things

As AI has begun to reach out beyond its symbolic, objectivist roots into the embodied, experientialist realm, many projects are exploring different aspects of creating machines which interact with and respond to the world as humans do. Techniques for visual processing, object recognition, emotional response, gesture production and recognition, etc., are necessary components of a complete humanoid robot. However, most projects invariably concentrate on developing a few of these individual components, neglecting the issue of how all of these pieces would eventually fit together. The focus of the work in this dissertation is on creating a framework into which such specific competencies can be embedded, in a way that they can interact with each other and build layers of new functionality. To be of any practical value, such a framework must satisfy the real-world constraints of functioning in real-time with noisy sensors and actuators. The humanoid robot Cog provides an unapologetically adequate platform from which to take on such a challenge. This work makes three contributions to embodied AI. First, it offers a general-purpose architecture for developing behavior-based systems distributed over networks of PC's. Second, it provides a motor-control system that simulates several biological features which impact the development of motor behavior. Third, it develops a framework for a system which enables a robot to learn new behaviors via interacting with itself and the outside world. A few basic functional modules are built into this framework, enough to demonstrate the robot learning some very simple behaviors taught by a human trainer. A primary motivation for this project is the notion that it is practically impossible to build an "intelligent" machine unless it is designed partly to build itself. This work is a proof-of-concept of such an approach to integrating multiple perceptual and motor systems into a complete learning agent.

Interaction and Intelligent Behavior

We introduce basic behaviors as primitives for control and learning in situated, embodied agents interacting in complex domains. We propose methods for selecting, formally specifying, algorithmically implementing, empirically evaluating, and combining behaviors from a basic set. We also introduce a general methodology for automatically constructing higher--level behaviors by learning to select from this set. Based on a formulation of reinforcement learning using conditions, behaviors, and shaped reinforcement, out approach makes behavior selection learnable in noisy, uncertain environments with stochastic dynamics. All described ideas are validated with groups of up to 20 mobile robots performing safe--wandering, following, aggregation, dispersion, homing, flocking, foraging, and learning to forage.

Simultaneous estimation of indirect and interaction effects using structural equation models

Interaction effects are usually modeled by means of moderated regression analysis. Structural equation models with non-linear constraints make it possible to estimate interaction effects while correcting for measurement error. From the various specifications, Jöreskog and Yang's (1996, 1998), likely the most parsimonious, has been chosen and further simplified. Up to now, only direct effects have been specified, thus wasting much of the capability of the structural equation approach. This paper presents and discusses an extension of Jöreskog and Yang's specification that can handle direct, indirect and interaction effects simultaneously. The model is illustrated by a study of the effects of an interactive style of use of budgets on both company innovation and performance

Correcting Measurement Error Bias in Interaction Models with Small Samples

Several methods have been suggested to estimate non-linear models with interaction terms in the presence of measurement error. Structural equation models eliminate measurement error bias, but require large samples. Ordinary least squares regression on summated scales, regression on factor scores and partial least squares are appropriate for small samples but do not correct measurement error bias. Two stage least squares regression does correct measurement error bias but the results strongly depend on the instrumental variable choice. This article discusses the old disattenuated regression method as an alternative for correcting measurement error in small samples. The method is extended to the case of interaction terms and is illustrated on a model that examines the interaction effect of innovation and style of use of budgets on business performance. Alternative reliability estimates that can be used to disattenuate the estimates are discussed. A comparison is made with the alternative methods. Methods that do not correct for measurement error bias perform very similarly and considerably worse than disattenuated regression

Búsqueda de selección en el polimorfismo 677C>T (c.665C>T) del gen de la metilentetrahidrofolato reductasa (MTHFR) en una población Colombiana

Se realizó un estudio genético – poblacional en dos grupos etarios de población colombiana con la finalidad de evaluar las diferencias genéticas relacionadas con el polimorfismo MTHFR 677CT en busca de eventos genéticos que soporten la persistencia de este polimorfismo en la especie humana debido que este ha sido asociado con múltiples enfermedades. De esta manera se genotipificaron los individuos, se analizaron los genotipos, frecuencias alélicas y se realizaron diferentes pruebas genéticas-poblacionales. Contrario a lo observado en poblaciones Colombianas revisadas se identificó la ausencia del Equilibrio Hardy-Weinberg en el grupo de los niños y estructuras poblacionales entre los adultos lo que sugiere diferentes historias demográficas y culturales entre estos dos grupos poblacionales al tiempo, lo que soporta la hipótesis de un evento de selección sobre el polimorfismo en nuestra población. De igual manera nuestros datos fueron analizados junto con estudios previos a nivel nacional y mundial lo cual sustenta que el posible evento selectivo es debido a que el aporte de ácido fólico se ha incrementado durante las últimas dos décadas como consecuencia de las campañas de fortificación de las harinas y suplementación a las embarazadas con ácido fólico, por lo tanto aquí se propone un modelo de selección que se ajusta a los datos encontrados en este trabajo se establece una relación entre los patrones nutricionales de la especie humana a través de la historia que explica las diferencias en frecuencias de este polimorfismo a nivel espacial y temporal.  

Racial and spatial interaction for neighborhood dynamics in Chicago

We look at at the empirical validity of Schelling’s models for racial residential segregation applied to the case of Chicago. Most of the empirical literature has focused exclusively the single neighborhood model, also known as the tipping point model and neglected a multineighborhood approach or a unified approach. The multi-neighborhood approach introduced spatial interaction across the neighborhoods, in particular we look at spatial interaction across neighborhoods sharing a border. An initial exploration of the data indicates that spatial contiguity might be relevant to properly analyse the so call tipping phenomena of predominately non-Hispanic white neighborhoods to predominantly minority neighborhoods within a decade. We introduce an econometric model that combines an approach to estimate tipping point using threshold effects and a spatial autoregressive model. The estimation results from the model disputes the existence of a tipping point, that is a discontinuous change in the rate of growth of the non-Hispanic white population due to a small increase in the minority share of the neighborhood. In addition we find that racial distance between the neighborhood of interest and it surrounding neighborhoods has an important effect on the dynamics of racial segregation in Chicago.

The language used in early mother-child interaction by very-low-birth-weight children, with a focus on the emergence of grammar. 'El lenguaje utilizado por niños con muy bajo peso al nacer en la interacción temprana entre madre e hijo, con atención especial a la aparición de la gramática'.

Resumen basado en el de la publicación. Resumen en español

Construction and psychometric characteristics of the Self-Concept Scale of Interaction in the Classroom

Resumen tomado de la publicaci??n

Observation of early childhood educators??? interaction style and child experience ??? opportunities for training in context

Monogr??fico con el t??tulo: " Formaci??n de profesores. Perspectivas de Brasil, Colombia, Espa??a y Portugal"

Síntesi i estructura de lligands hexaazamacrocíclics i dels seus complexos de Zn. Estudis de catàlisi i de fenòmens de reconeixement molecular amb substrats aniònics

Es realitza una breu introducció a la Química Supramolecular, la qual estudia les estructures i funcions de les associacions que resulten de la unió d'espècies moleculars a través d'enllaços intermoleculars, no covalents. El reconeixement molecular, reactivitat i transport són les funcions bàsiques de les espècies supramoleculars. El present treball tracta de la química supramolecular d'anions i del potential efecte catalític de complexos de Zinc amb lligands hexaazamacrocilics en reaccions de hidròlisis d'esters de fosfat. Els lligands descrits en aquest treball són lligands macrocíclics hexadentats formats per amines secundàries o terciàries enllaçades a cadenes alquíliques de dos o tres àtoms de carbonis formant dos braços, que estan unides per un espaiador, El conjunt de lligands que s'estudien permeten estudiar els diferents factors, geomètrics, electrònics i estèrics que controlen els fenòmens de reconeixement molecular. El treball descriu en detall els procediments de síntesi i la caracterització d'aquest conjunt de lligands. S'ha realitzat un estudi sistemàtic dels diferents factors que afecten als fenòmens de reconeixement molecular entre lligands macrocíclics (L), descrits anteriorment i substrats aniònics (S): fosfats, polifosfats i dicarboxilats. Els estudis s'han realitzat tant en dissolució aquosa, a partir de mesures potenciomètriques, com en estat sòlid per difracció de Raig-X a partir de la obtenció de les estructures cristal·lines dels complexos. La força de l'enllaç en els complexos ternaris H:L:S es racionalitza en termes d'enllaç per pont d'hidrogen, interaccions electrostàtiques i interaccions per -Stacking. Així mateix es racionalitza la importància de les dimensions i forma de la cavitat en el grau d'interacció. Actualment hi ha un gran interès en l'estudi del paper que juguen els ions metàl·lics en el centre actiu dels metal·loenzims hidrolítics tal com la carboxipeptidasa, que catalitza la hidròlisi d'aminoàcids C-terminals de substrats polipeptídics, l'anhidrasa carbònica, que catalitza la reacció d'hidratació del CO2 per donar hidrogencarbonat, la fosfatasa alcalina, que actua catalitzant la hidròlisi no específica de monoesters de fosfats a pH alcalí. El Zn(II) és un metall que es troba sovint formant part dels centres actius dels metal·loenzims i és el segon element de transició més abundant en els organismes vius. Per aquest motiu són útils els models sintètics que puguin actuar com a mimetitzadors de reaccions bioinorgàniques en les que els metal·loenzims juguen un paper com a catalitzadors. Els models sintètics són complexos de metalls de transició formats per un lligand o lligands en el seu entorn de coordinació més immediat que tinguin efectes electrònics i estèrics els més similar possible als que es produeixen en el centre actiu dels enzims. Donat la importància dels complexos de Zn(II) com a models biomimètics de metal·loenzims hidrolítics, s'han sintetitzat i caracteritzat complexos dinuclears de Zn(II) amb lligands hexaazamacrocíclics descrits anteriorment. S'ha realitzat un estudi de la seva activitat catalítica en la hidròlisi d'un ester activat, l'acetat de p-nitrofenil, un substrat característic que s'utilitza per analitzar l'activitat catalítica dels models biomimètics.