Caracterización de las reacciones adversas a medicamentos como causa de ingreso a una unidad de cuidado intermedio en un hospital de tercer nivel de atención

Objetivo: Determinar la ocurrencia de reacciones adversas a medicamentos (RAM) como causa de ingreso a una unidad de cuidado intermedio de un hospital universitario. Materiales y Métodos: Se revisaron las historias clínicas de los pacientes admitidos a la Sala de Emergencias – Cuidado Intermedio (SALEM) entre septiembre y diciembre de 2012 que cumplieron los criterios de inclusión y se detectaron los casos sospechosos de reacción adversa a medicamento (RAM) que posteriormente fueron evaluados por cuatro investigadores respecto a la causalidad a través del Algoritmo de Naranjo, prevenibilidad usando los criterios de Shumock y Thornton y la clasificación clínica mediante el empleo del sistema DoTS. Resultados: Se encontraron 96 pacientes que presentaron 108 casos de RAM. Las RAM más frecuentes fueron las arritmias y la hemorragia de vías digestivas altas (12.04%), 20.3% de los casos correspondieron a fallos terapéuticos, y, los medicamentos mayormente asociados fueron el ácido acetil salicílico (15.74%) y el losartán (10.19%). 46 casos fueron catalogados como posibles y uno solo como definitivo. Usando la clasificación DoTS se estableció que en el 82.4% de los casos la dosis era colateral (dentro del rango de dosis terapéutica), 89.8% fueron independientes del tiempo, y entre los factores mayormente asociados a susceptibilidad a la RAM estuvieron las comorbilidades (41.7%) y la edad (49%). 44% de las RAM fueron prevenibles. Conclusión: Las RAM son una causa de ingreso no despreciable en una unidad de cuidado intermedio para las cuales existen diferentes sistemas de evaluación, y una cantidad significativa de ellas es prevenible. Se requieren más estudios a nivel nacional para evaluar la incidencia de estas y establecer estándares de clasificación y medidas para mitigar su efecto.

La educación secundaria y sus dos dimensiones, efectos del barrio y del colegio sobre los resultados saber 11.

Resumen: Este trabajo estudia los resultados en matemáticas y lenguaje de 32000 estudiantes en la prueba saber 11 del 2008, de la ciudad de Bogotá. Este análisis reconoce que los individuos se encuentran contenidos en barrios y colegios, pero no todos los individuos del mismo barrio asisten a la misma escuela y viceversa. Con el fin de modelar esta estructura de datos se utilizan varios modelos econométricos, incluyendo una regresión jerárquica multinivel de efectos cruzados. Nuestro objetivo central es identificar en qué medida y que condiciones del barrio y del colegio se correlacionan con los resultados educacionales de la población objetivo y cuáles características de los barrios y de los colegios están más asociadas al resultado en las pruebas. Usamos datos de la prueba saber 11, del censo de colegios c600, del censo poblacional del 2005 y de la policía metropolitana de Bogotá. Nuestras estimaciones muestran que tanto el barrio como el colegio están correlacionados con los resultados en las pruebas; pero el efecto del colegio parece ser mucho más fuerte que el del barrio. Las características del colegio que están más asociadas con el resultado en las pruebas son la educación de los profesores, la jornada, el valor de la pensión, y el contexto socio económico del colegio. Las características de los barrios más asociadas con el resultado en las pruebas son, la presencia de universitarios en la UPZ, un clúster de altos niveles de educación y nivel de crimen en el barrio que se correlaciona negativamente. Los resultados anteriores fueron hallados teniendo en cuenta controles familiares y personales.

Loan sales under asymmetric information

Loans are illiquid assets that can be sold in a secondary market even that buyers have no certainty about their quality. I study a model in which a lender has access to new investment opportunities when all her assets are illiquid. To raise funds, the lender may either borrow using her assets as collateral, or she can sell them in a secondary market. Given asymmetric information about assets quality, the lender cannot recover the total value of her assets. There is then a role for the government to correct the information problem using fiscal tools.

Estratègies de finançament dels municipis turístics i competitivitat: el cas dels municipis catalans

La problemàtica del finançament dels municipis turístics és un assumpte present en el món local des de fa anys, tot i que no ha trobat una adequada resposta. Aquest treball pretén avaluar si les finances locals representen un problema per l'activitat turística i quines serien les possibles solucions. L'estudi de les característiques dels municipis turístics permet constatar les importants repercussions sobre el territori que comporta la gran concentració geogràfica del turisme, com el ràpid creixement demogràfic d'aquest municipis i un important augment dels habitatges. Dels resultats de la investigació es desprèn que els municipis turístics no tenen ni unes despeses, ni uns ingressos per càpita superiors als dels no turístics. Conseqüentment, tampoc presenten problemes de dèficit especials. El que es produeix és una redistribució interna de la despesa en perjudici de la despesa amb una baixa vinculació amb el turisme, que bàsicament té per destinatària la població resident

Desmite dos Ligamentos Colaterais da Articulação Interfalângica Distal em Equinos

Os objectivos deste estudo basearam-se na análise dos aspectos clínicos de cavalos de desporto, aos quais foi diagnosticado através de ecografia, desmite dos Ligamentos Colaterais (LCs) da articulação Interfalângica Distal (IFD). Os cavalos incluídos na amostra foram examinados entre Setembro de 2011 e Junho de 2012 tendo sido selecionados aqueles que apresentaram os critérios de inclusão requeridos, nomeadamente o diagnóstico de desmite em pelo menos um dos LCs da articulação IFD. Foram incluídos 8 animais no estudo, sendo que o diagnóstico foi feito através de um cuidadoso exame ortopédico e de ecografia, tendo-se verificado as lesões nos membros anteriores. O LC Lateral foi o mais afectado (5 cavalos) seguido do Medial (2 cavalos). Apenas em 1 dos casos as lesões eram bilaterais. A maioria dos animais apresentavam distensão da articulação IFD confirmada ecograficamente. A claudicação foi invariavelmente exacerbada em círculo no piso duro, sendo que 7 dos 8 (87.5%) animais aumentaram o grau de claudicação quando o membro afectado estava no interior do círculo. Após o bloqueio digital palmar a claudicação foi atenuada em 7 dos 8 animais (87.5%) sendo totalmente abolida em 3 (37.5%) deles. O bloqueio da articulação IFD foi positivo em todos os animais, e o bloqueio da bursa podotroclear negativa em 7 dos 8 cavalos. Metade dos animais (50%) apresentaram alterações radiográficas como osteoartrite da articulação IFD, remodelação óssea da origem/inserção do LC afectado e um deles apresentava ossificação de uma cartilagem ungular. Todos os animais apresentaram sinais evidentes de lesão na ecografia, sendo que alguns demostraram sinais de desmite crónica e outros aguda. Os tratamentos instituídos variaram de acordo com a história, sinais clínicos, sinais radiográficos e severidade das lesões ecográficas. A desmite dos LC da articulação IFD deve ser considerada como uma causa de claudicação que afecta a performance dos cavalos de desporto. Mais estudos são necessários, de modo a caraterizar melhor estas lesões e avaliar as melhorias após a terapia por forma a determinar os factores que mais influenciam o prognóstico. Palavras-Chave: Equinos, Ligamentos colaterais, Desmite, articulação Interfalângica distal

Semantic-level Visual Content Descriptor combining visual and textual cues as collaterals

In this paper, we introduce a novel high-level visual content descriptor which is devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt to bridge the so called “semantic gap”. The proposed image feature vector model is fundamentally underpinned by the image labelling framework, called Collaterally Confirmed Labelling (CCL), which incorporates the collateral knowledge extracted from the collateral texts of the images with the state-of-the-art low-level image processing and visual feature extraction techniques for automatically assigning linguistic keywords to image regions. Two different high-level image feature vector models are developed based on the CCL labelling of results for the purposes of image data clustering and retrieval respectively. A subset of the Corel image collection has been used for evaluating our proposed method. The experimental results to-date already indicates that our proposed semantic-based visual content descriptors outperform both traditional visual and textual image feature models.

A framework towards multi-modal fingerprinting scheme for multimedia assets

Fingerprinting is a well known approach for identifying multimedia data without having the original data present but what amounts to its essence or ”DNA”. Current approaches show insufficient deployment of three types of knowledge that could be brought to bear in providing a finger printing framework that remains effective, efficient and can accommodate both the whole as well as elemental protection at appropriate levels of abstraction to suit various Foci of Interest (FoI) in an image or cross media artefact. Thus our proposed framework aims to deliver selective composite fingerprinting that remains responsive to the requirements for protection of whole or parts of an image which may be of particularly interest and be especially vulnerable to attempts at rights violation. This is powerfully aided by leveraging both multi-modal information as well as a rich spectrum of collateral context knowledge including both image-level collaterals as well as the inevitably needed market intelligence knowledge such as customers’ social networks interests profiling which we can deploy as a crucial component of our Fingerprinting Collateral Knowledge. This is used in selecting the special FoIs within an image or other media content that have to be selectively and collaterally protected.

Semantic-driven context-aware visual information indexing and retrieval: applied in the film post-production domain

A large volume of visual content is inaccessible until effective and efficient indexing and retrieval of such data is achieved. In this paper, we introduce the DREAM system, which is a knowledge-assisted semantic-driven context-aware visual information retrieval system applied in the film post production domain. We mainly focus on the automatic labelling and topic map related aspects of the framework. The use of the context- related collateral knowledge, represented by a novel probabilistic based visual keyword co-occurrence matrix, had been proven effective via the experiments conducted during system evaluation. The automatically generated semantic labels were fed into the Topic Map Engine which can automatically construct ontological networks using Topic Maps technology, which dramatically enhances the indexing and retrieval performance of the system towards an even higher semantic level.

A framework towards a multi-modal fingerprinting scheme for multimedia assets

Fingerprinting is a well known approach for identifying multimedia data without having the original data present but instead what amounts to its essence or 'DNA'. Current approaches show insufficient deployment of various types of knowledge that could be brought to bear in providing a fingerprinting framework that remains effective, efficient and can accommodate both the whole as well as elemental protection at appropriate levels of abstraction to suit various Zones of Interest (ZoI) in an image or cross media artefact. The proposed framework aims to deliver selective composite fingerprinting that is powerfully aided by leveraging both multi-modal information as well as a rich spectrum of collateral context knowledge including both image-level collaterals and also the inevitably needed market intelligence knowledge such as customers' social networks interests profiling which we can deploy as a crucial component of our fingerprinting collateral knowledge.

Semantic-associative visual content labelling and retrieval: A multimodal approach

A novel framework referred to as collaterally confirmed labelling (CCL) is proposed, aiming at localising the visual semantics to regions of interest in images with textual keywords. Both the primary image and collateral textual modalities are exploited in a mutually co-referencing and complementary fashion. The collateral content and context-based knowledge is used to bias the mapping from the low-level region-based visual primitives to the high-level visual concepts defined in a visual vocabulary. We introduce the notion of collateral context, which is represented as a co-occurrence matrix of the visual keywords. A collaborative mapping scheme is devised using statistical methods like Gaussian distribution or Euclidean distance together with collateral content and context-driven inference mechanism. We introduce a novel high-level visual content descriptor that is devised for performing semantic-based image classification and retrieval. The proposed image feature vector model is fundamentally underpinned by the CCL framework. Two different high-level image feature vector models are developed based on the CCL labelling of results for the purposes of image data clustering and retrieval, respectively. A subset of the Corel image collection has been used for evaluating our proposed method. The experimental results to-date already indicate that the proposed semantic-based visual content descriptors outperform both traditional visual and textual image feature models. (C) 2007 Elsevier B.V. All rights reserved.

Collaterally cued labelling framework underpinning semantic-level visual content descriptor

In this paper, we introduce a novel high-level visual content descriptor devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt for bridging the so called "semantic gap". The proposed image feature vector model is fundamentally underpinned by an automatic image labelling framework, called Collaterally Cued Labelling (CCL), which incorporates the collateral knowledge extracted from the collateral texts accompanying the images with the state-of-the-art low-level visual feature extraction techniques for automatically assigning textual keywords to image regions. A subset of the Corel image collection was used for evaluating the proposed method. The experimental results indicate that our semantic-level visual content descriptors outperform both conventional visual and textual image feature models.

European CMBS pricing: bond, mortgage and real estate characteristics

The recent global economic crisis is often associated with the development and pricing of mortgage-backed securities (i.e. MBSs) and underlying products (i.e. sub-prime mortgages). This work uses a rich database of MBS issues and represents the first attempt to price commercial MBSs (i.e. CMBSs) in the European market. Our results are consistent with research carried out in the US market and we find that bond-, mortgage-, real estate-related and multinational characteristics show different degrees of significance in explaining European CMBS spreads at issuance. Multiple linear regression analysis using a databank of CMBSs issued between 1997 and 2007 indicates a strong relationship with bond-related factors, followed by real estate and mortgage market conditions. We also find that multinational factors are significant, with country of issuance, collateral location and access to more liquid markets all being important in explaining the cost of secured funding for real estate companies. As floater coupon tranches tend to be riskier and exhibit higher spreads, we also estimate a model using this sub-set of data and results hold, hence reinforcing our findings. Finally, we estimate our model for both tranches A and B and find that real estate factors become relatively more important for the riskier investment products.

Oxygen/Glucose deprivation induces a reduction in synaptic AMPA receptors on hippocampal CA3 neurons mediated by mGluR1 and adenosine A3 receptors

Hippocampal CA1 pyramidal neurons are highly sensitive to ischemic damage, whereas neighboring CA3 pyramidal neurons are less susceptible. It is proposed that switching of AMPA receptor (AMPAR) subunits on CA1 neurons during an in vitro model of ischemia, oxygen/glucose deprivation (OGD), leads to an enhanced permeability of AMPARs to Ca2+, resulting in delayed cell death. However, it is unclear whether the same mechanisms exist in CA3 neurons and whether this underlies the differential sensitivity to ischemia. Here, we investigated the consequences of OGD for AMPAR function in CA3 neurons using electrophysiological recordings in rat hippocampal slices. Following a 15 min OGD protocol, a substantial depression of AMPAR-mediated synaptic transmission was observed at CA3 associational/commissural and mossy fiber synapses but not CA1 Schaffer collateral synapses. The depression of synaptic transmission following OGD was prevented by metabotropic glutamate receptor 1 (mGluR1) or A3 receptor antagonists, indicating a role for both glutamate and adenosine release. Inhibition of PLC, PKC, or chelation of intracellular Ca2+ also prevented the depression of synaptic transmission. Inclusion of peptides to interrupt the interaction between GluA2 and PICK1 or dynamin and amphiphysin prevented the depression of transmission, suggesting a dynamin and PICK1-dependent internalization of AMPARs after OGD. We also show that a reduction in surface and total AMPAR protein levels after OGD was prevented by mGluR1 or A3 receptor antagonists, indicating that AMPARs are degraded following internalization. Thus, we describe a novel mechanism for the removal of AMPARs in CA3 pyramidal neurons following OGD that has the potential to reduce excitotoxicity and promote neuroprotection

Organisational semiotics methods to assess organisational readiness for internal use of social media

The paper presents organisational semiotics (OS) as an approach for identifying organisational readiness factors for internal use of social media within information intensive organisations (IIO). The paper examines OS methods, such as organisational morphology, containment analysis and collateral analysis to reveal factors of readiness within an organisation. These models also help to identify the essential patterns of activities needed for social media use within an organisation, which can provide a basis for future analysis. The findings confirmed many of the factors, previously identified in literature, while also revealing new factors using OS methods. The factors for organisational readiness for internal use of social media include resources, organisational climate, processes, motivational readiness, benefit and organisational control factors. Organisational control factors revealed are security/privacy, policies, communication procedures, accountability and fallback.

Climate change impacts on global food security

Climate change could potentially interrupt progress toward a world without hunger. A robust and coherent global pattern is discernible of the impacts of climate change on crop productivity that could have consequences for food availability. The stability of whole food systems may be at risk under climate change because of short-term variability in supply. However, the potential impact is less clear at regional scales, but it is likely that climate variability and change will exacerbate food insecurity in areas currently vulnerable to hunger and undernutrition. Likewise, it can be anticipated that food access and utilization will be affected indirectly via collateral effects on household and individual incomes, and food utilization could be impaired by loss of access to drinking water and damage to health. The evidence supports the need for considerable investment in adaptation and mitigation actions toward a “climate-smart food system” that is more resilient to climate change influences on food security.