On Solution Sets of Information Inequalities

We investigate solution sets of a special kind of linear inequality systems. In particular, we derive characterizations of these sets in terms of minimal solution sets. The studied inequalities emerge as information inequalities in the context of Bayesian networks. This allows to deduce important properties of Bayesian networks, which is important within causal inference.

Core Labor Rights

The working paper’s main objective is to explore the extent to which non-compliance to international labor rights is caused by global competition. From the perspective of institutional economics, compliance with core labor rights is beneficial for sustainable development. Nonetheless, violations of these rights occur on a massive scale. The violators usually blame competitive pressures. A number of studies have come to the conclusion that non-compliance does not provide for a competitive edge, thereby denying any economic rationale for non-compliance. While we sympathize with this conclusion, we find that these studies suffer from faulty assumptions in the design of their regression analyses. The assumption of perfect markets devoid of power relations is particularly unrealistic. While workers' rights promise long-term benefits, they may incur short-term production cost increases. On the supply side, the production sites with the highest amount of labor rights violations are characterized by a near perfect competitive situation. The demand side, however, is dominated by an oligopoly of brand name companies and large retailers. Facing a large pool of suppliers, these companies enjoy more bargaining power. Developing countries, the hosts to most of these suppliers, are therefore limited in their ability to raise labor standards on their own. This competitive situation, however, is the very reason why labor rights have to be negotiated internationally. Our exploration starts with an outline of the institutionalist argument of the benefits of core labor rights. Second, we briefly examine some cross-country empirical studies on the impact of trade liberalization (as a proxy for competitive pressures). Third, we develop our own argument which differentiates the impact of trade liberalization along the axes of labor- and capital-intensive production as well as low and medium skill production. Finally, we present evidence from a study on the impact of trade liberalization in Indonesia on the garment industry as an example of a low skill, laborintensive industry on the one hand, and the automobile as an example for a medium skill, capital-intensive industry on the other hand. Because the garment industry’s workforce consists mainly of women, we also discuss the gender dimension of trade liberalization.

Evaluation of sets of oriented and non-oriented receptive fields as local descriptors

Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. We propose a performance criterion for a local descriptor based on the tradeoff between selectivity and invariance. In this paper, we evaluate several local descriptors with respect to selectivity and invariance. The descriptors that we evaluated are Gaussian derivatives up to the third order, gray image patches, and Laplacian-based descriptors with either three scales or one scale filters. We compare selectivity and invariance to several affine changes such as rotation, scale, brightness, and viewpoint. Comparisons have been made keeping the dimensionality of the descriptors roughly constant. The overall results indicate a good performance by the descriptor based on a set of oriented Gaussian filters. It is interesting that oriented receptive fields similar to the Gaussian derivatives as well as receptive fields similar to the Laplacian are found in primate visual cortex.

Core-Shell Assisted Bimetallic Assembly of Pt and Ru Nanoparticles by DNA Hybridization

We have discovered that the current protocols to assemble Au nanoparticles based on DNA hybridization do not work well with the small metal nanoparticles (e.g. 5 nm Au, 3.6 nm Pt and 3.2 nm Ru particles). Further investigations revealed the presence of strong interaction between the oligonucleotide backbone and the surface of the small metal nanoparticles. The oligonucleotides in this case are recumbent on the particle surface and are therefore not optimally oriented for hybridization. The nonspecific adsorption of oligonucleotides on small metal nanoparticles must be overcome before DNA hybridization can be accepted as a general assembly method. Two methods have been suggested as possible solutions to this problem. One is based on the use of stabilizer molecules which compete with the oligonucleotides for adsorption on the metal nanoparticle surface. Unfortunately, the reported success of this approach in small Au nanoparticles (using K₂BSPP) and Au films (using 6-mercapto-1-hexanol) could not be extended to the assembly of Pt and Ru nanoparticles by DNA hybridization. The second approach is to simply use larger metal particles. Indeed most reports on the DNA hybridization induced assembly of Au nanoparticles have made use of relatively large particles (>10 nm), hinting at a weaker non-specific interaction between the oligonucleotides and large Au nanoparticles. However, most current methods of nanoparticle synthesis are optimized to produce metal nanoparticles only within a narrow size range. We find that core-shell nanoparticles formed by the seeded growth method may be used to artificially enlarge the size of the metal particles to reduce the nonspecific binding of oligonucleotides. We demonstrate herein a core-shell assisted growth method to assemble Pt and Ru nanoparticles by DNA hybridization. This method involves firstly synthesizing approximately 16 nm core-shell Ag-Pt and 21 nm core-shell Au-Ru nanoparticles from 9.6 nm Ag seeds and 17.2 nm Au seeds respectively by the seed-mediated growth method. The core-shell nanoparticles were then functionalized by complementary thiolated oligonucleotides followed by aging in 0.2 M PBS buffer for 6 hours. The DNA hybridization induced bimetallic assembly of Pt and Ru nanoparticles could then be carried out in 0.3 M PBS buffer for 10 hours.

Implementación de sistemas de información en los procesos de logística inversa de los Sets Quirúrgicos de Ortopedia

El presente documento es el producto de un análisis en cuanto al área de Logística Inversa del grupo empresarial AMAREY, el cual cuenta en la actualidad con más de dieciséis sistemas de sets quirúrgicos de ortopedia, es decir: sistema para mano, pie, radio, cadera, tibia, hombro, entre otros; de los cuales se tienen una cantidad específica de cada sistema, es decir: 4 sets del sistema Axsos. Se encuentra que la compañía no cuenta con ningún tipo de ayuda que le pueda brindar información exacta y a tiempo sobre las entradas y las salidas de los equipos de cirugía. Por lo anterior el resultado de la investigación está orientada a proponer la implementación de sistemas de información en los proceso de logística inversa de los sets quirúrgicos de ortopedia, con el fin de obtener una mejor gestión de la calidad al realizar la trazabilidad del material crítico y del set en general.

Hierarchical Prediction Machines and Big Data Analytics

An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system. This is a system in which higher-order regions are continuously attempting to predict the activity of lower-order regions at a variety of (increasingly abstract) spatial and temporal scales. The brain is thus revealed as a hierarchical prediction machine that is constantly engaged in the effort to predict the flow of information originating from the sensory surfaces. Such a view seems to afford a great deal of explanatory leverage when it comes to a broad swathe of seemingly disparate psychological phenomena (e.g., learning, memory, perception, action, emotion, planning, reason, imagination, and conscious experience). In the most positive case, the predictive processing story seems to provide our first glimpse at what a unified (computationally-tractable and neurobiological plausible) account of human psychology might look like. This obviously marks out one reason why such models should be the focus of current empirical and theoretical attention. Another reason, however, is rooted in the potential of such models to advance the current state-of-the-art in machine intelligence and machine learning. Interestingly, the vision of the brain as a hierarchical prediction machine is one that establishes contact with work that goes under the heading of 'deep learning'. Deep learning systems thus often attempt to make use of predictive processing schemes and (increasingly abstract) generative models as a means of supporting the analysis of large data sets. But are such computational systems sufficient (by themselves) to provide a route to general human-level analytic capabilities? I will argue that they are not and that closer attention to a broader range of forces and factors (many of which are not confined to the neural realm) may be required to understand what it is that gives human cognition its distinctive (and largely unique) flavour. The vision that emerges is one of 'homomimetic deep learning systems', systems that situate a hierarchically-organized predictive processing core within a larger nexus of developmental, behavioural, symbolic, technological and social influences. Relative to that vision, I suggest that we should see the Web as a form of 'cognitive ecology', one that is as much involved with the transformation of machine intelligence as it is with the progressive reshaping of our own cognitive capabilities.

Validez de apariencia y concurrente de un instrumento de evaluación de la discapacidad en personas con lesión medular crónica, basado en el core set abreviado de la cif

Objetivo. Determinar la validez de apariencia y concurrente de un instrumento de evaluación de la discapacidad en personas con lesión medular crónica (SCI-DAS), basado en el core set abreviadode la CIF. Metodología. Participaron 100 personas con lesión medular de más de seis meses de evolución de cuatro ciudades colombianas, así como ocho fisioterapeutas con una experiencia profesional promedio de 6,75 años. La validez de apariencia se evaluó a través de un grupo focal y una encuesta a los observadores, se calcularon los coeficientes de variación de los ítems y los índices de pertinencia y adecuación. Mediante el coeficiente de correlación de Spearman se analizó la validez concurrente con la escala de deficiencia AIS (American SpinalInjury Association[ASIA] Impairment Scale), y la escala de discapacidad WHO-DASII. Resultados. La pertinencia y adecuación global del instrumento arrojaron una media de 4,83/5 y 4,48/5 con un coeficiente de variación de 0,03. El índice de acuerdo entre observadores para las calificaciones de buena y excelente fue de 0,96 para pertinencia y 0,86 para adecuación. La discapacidad medida con el SCI-DAS mostró correlación significativa moderada con el nivel neurológico, los índice motor y sensitivo AIS, y alta con la discapacidad medida con el WHO-DAS II (p<0,001). Se encontró correlación baja estadísticamente marginal con la escala de compromiso funcional AIS (p=0,052). Conclusiones. Se encontró en general buena validez de apariencia del instrumento SCI-DAS, así mismo se evidenció la validez concurrente del instrumento SCI-DAS con la escala de deficiencia AIS y con la Escala de Discapacidad de la OMS-WHO-DAS II.

Implementation of ‘School Back’ by the ‘Core’ technique in a factory of geotextiles to prevent back pain

Introduction: This article aims to show an alternative intervention for the prevention and control of back pain to the people of a production plant of geotextiles for the construction exposed to handling and awkward postures through the implementation of the Back School using the CORE technique. This technique being understood as trainer of the stability musculature of the spine; whose benefit is proportionate the muscular complex of the back, stability and avoid osteomuscular lesions and improved posture. Objective: To present the results about the implementation of the back school by the CORE technique for prevention of back pain in a population of forty-eight male collaborators. Materials and methods: The back school began with talks of awareness by the occupational health physician explaining the objectives and benefits of it to all participants. Once this activity was done, was continued to evaluate all plant employees to establish health status through the PAR-Q questionnaire, who were surveyed for the perception of pain using visual analog scale (VAS) and stability was determined column through the CORE assessment, to determine the training plan. Then, were made every six months the revaluations and implementation of a survey of assistant public perception to identify the impact of the implementation of the school back on the two variables referred (pain perception and stability of column). Results: The pain perception according VAS increased in the number of workers asymptomatic in 12% and based in the satisfaction survey 94% of population reported that with the development of this technique decrease the muscle fatigue in lumbar level; and 96% of population reported an improvement in the performance of their work activities. Discussion: Posterior to the analysis of all results, it is interpreted that back schools practice through CORE technique, contributes to the prevention and / or control of symptoms at the lumbar level in population of productive sector exposed to risks derived from the physical load, provided that ensure its continuously development and supervised for a competent professional.

Factores asociados a mortalidad en pacientes colombianos con enfermedades autoinmunes en la unidad de cuidado intensivo, de un hospital de tercer nivel en Bogotá Colombia

Antecedentes: El interés en las enfermedades autoinmunes (EA) y su desenlace en la unidad de cuidado intensivo (UCI) han incrementado debido al reto clínico que suponen para el diagnóstico y manejo, debido a que la mortalidad en UCI fluctúa entre el 17 – 55 %. El siguiente trabajo representa la experiencia de un año de nuestro grupo en un hospital de tercer nivel. Objetivo: Identificar factores asociados a mortalidad particulares de los pacientes con enfermedades autoinmunes que ingresan a una UCI, de un hospital de tercer nivel en Bogotá, Colombia. Métodos: El uso de análisis de componentes principales basado en el método descriptivo multivariado y análisis de múltiple correspondencia fue realizado para agrupar varias variables relacionadas con asociación significativa y contexto clínico común. Resultados: Cincuenta pacientes adultos con EA con una edad promedio de 46,7 ± 17,55 años fueron evaluados. Los dos diagnósticos más comunes fueron lupus eritematoso sistémico y esclerosis sistémica, con una frecuencia de 45% y 20% de los pacientes respectivamente. La principal causa de admisión en la UCI fue la infección seguido de actividad aguda de la EA, 36% y 24% respectivamente. La mortalidad durante la estancia en UCI fue del 24%. El tiempo de hospitalización antes de la admisión a la UCI, el choque, soporte vasopresor, ventilación mecánica, sepsis abdominal, Glasgow bajo y plasmaféresis fueron factores asociados con mortalidad. Dos fenotipos de variables fueron definidos relacionadas con tiempo en la UCI y medidas de soporte en UCI, las cuales fueron asociadas supervivencia y mortalidad. Conclusiones: La identificación de factores individuales y grupos de factores por medio del análisis de componentes principales permitirá la implementación de medidas terapéutica de manera temprana y agresiva en pacientes con EA en la UCI para evitar desenlaces fatales.

Confidence sets for asset correlations in portfolio credit risk

Asset correlations are of critical importance in quantifying portfolio credit risk and economic capitalin financial institutions. Estimation of asset correlation with rating transition data has focusedon the point estimation of the correlation without giving any consideration to the uncertaintyaround these point estimates. In this article we use Bayesian methods to estimate a dynamicfactor model for default risk using rating data (McNeil et al., 2005; McNeil and Wendin, 2007).Bayesian methods allow us to formally incorporate human judgement in the estimation of assetcorrelation, through the prior distribution and fully characterize a confidence set for the correlations.Results indicate: i) a two factor model rather than the one factor model, as proposed bythe Basel II framework, better represents the historical default data. ii) importance of unobservedfactors in this type of models is reinforced and point out that the levels of the implied asset correlationscritically depend on the latent state variable used to capture the dynamics of default,as well as other assumptions on the statistical model. iii) the posterior distributions of the assetcorrelations show that the Basel recommended bounds, for this parameter, undermine the levelof systemic risk.

Geography 360õ : core book 1.

Su contenido se adapta a la llamada etapa tres (key stage tres) y, en concreto, a los alumnos de los niveles tres al cinco. Proporciona un gran número de actividades para la práctica de habilidades geográficas, que pueden realizarse a nivel individual y también en clase; incluye, también, evaluación periódica de los alumnos sobre cada uno de los temas de este programa.

Oxford maths zone. Year 3. Core book.

Contiene una amplia gama de recursos destinados a enseñar a los niños cómo usar las matemáticas en el mundo real, su pertinencia y relevancia; también ofrece orientación sobre las principales actividades para cada uno de los niveles. Cumple con los requisitos del National Numeracy Strategy en cuanto a los conocimientos básicos de aritmética que proporciona y a toda la secuencia de material didáctico que le acompaña.

AQA GCSE science core foundation.

Esta serie de compone de dos libros, uno para el profesor y otro para los alumnos. El primero de ellos tiene preguntas y otros recursos que refuerzan los conocimientos de los temas expuestos en el libro del estudiante. En éste, el texto desarrolla un enfoque analítico y de evaluación de los problemas y las cuestiones científicas, para que los alumnos comprendan la naturaleza de la ciencia y su importancia para ellos mismos y la sociedad.