Cutaneous and visceral leishmaniasis co-infection in dogs from Rio de Janeiro, Brazil: evaluation by specific PCR and RFLP-PCR assays

Introduction During a diagnostic evaluation of canine visceral leishmaniasis (VL), two of seventeen dogs were found to be co-infected by Leishmania (Viannia) braziliensis and Leishmania (Leishmania) chagasi. Methods Specific polymerase chain reaction (PCR) and restriction fragment length polymorphism-PCR (RFLP-PCR) assays were performed. Results PCR assays for Leishmania subgenus identification followed by RFLP-PCR analysis in biopsies from cutaneous lesions and the spleen confirmed the presence of Leishmania (Viannia) braziliensis and Leishmania (Leishmania) chagasi in those fragments. Conclusions This report reinforces the importance of using serological and molecular techniques in the epidemiological surveillance of canine populations in endemic areas in which both diseases are known to co-exist. In such cases, a reassessment of the control measures is required.

Impact of alcohol intoxication and withdrawal syndrome on social phobia and panic disorder in alcoholic inpatients

PURPOSE: To investigate the impact of alcohol intoxication and withdrawal on the course of social phobia and panic disorder. METHOD: A group of 41 alcoholic inpatients undergoing detoxification therapy were interviewed using the SCID-I (DSM-IV) and questions to detect fluctuations in the course of social phobia and panic disorder as a function of the different phases in alcohol dependence (intoxication, withdrawal, and lucid interval). RESULTS: Only 1 (2.4%) patient presented panic disorder throughout life, and 9 (21.9%) had panic attacks during alcohol intoxication or during the withdrawal syndrome. Sixteen (39%) alcoholic patients showed social phobia with onset prior to drug use. However, drinking eventually became unable to alleviate social phobia symptoms or worsened such symptoms in 31.2% of social-phobic patients. While patients with social phobia reported a significant improvement in psychiatric symptoms during alcohol intoxication, patients experiencing panic attacks worsened significantly during intoxication. In the withdrawal phase, patients with social phobia tended to have more and more intense phobic symptoms. CONCLUSION: Our findings indicate that the impact of alcohol intoxication is different for social phobia as compared to panic disorder, at first decreasing the social-phobic symptoms but later aggravating them. In panic disorder, the impact of intoxication by alcohol is more harmful, at least in the short term.

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

Wood specific gravity of trees and forest types in the southern Peruvian Amazon

Estimates of terrestrial biomass depend critically on reliable information about the specific gravity of the wood of forest trees. The study reported on here was carried out in the southern Peruvian Amazon and involved collection of wood samples from trees (70 spp.) in intact forest stands. Results demonstrate the high degree of variability in specific gravity (ovendry weight/green volume) in trees at single locations. Three forest types (swamp, high terrace forest with alluvial soil, and sandy-soil forest) had values close to the average reported for tropical forest woods (.69). Two early successional forest types, which make up as much as 12% of the total vegetated area in this part of the Amazon, had values significantly lower (.40). An increase in specific gravity with increasing age of the tree, which has been reported in some spe cies of tropical-forest woods, is seen in a positive relationship between specific gravity and di ameter for a species prevalent in one plot. Increases in specific gravity with tree and forest age may be significant in estimating changes in carbon stores over time.

A domain-specific language for ETL patterns specification in Data Warehousing Systems

During the last few years many research efforts have been done to improve the design of ETL (Extract-Transform-Load) systems. ETL systems are considered very time-consuming, error-prone and complex involving several participants from different knowledge domains. ETL processes are one of the most important components of a data warehousing system that are strongly influenced by the complexity of business requirements, their changing and evolution. These aspects influence not only the structure of a data warehouse but also the structures of the data sources involved with. To minimize the negative impact of such variables, we propose the use of ETL patterns to build specific ETL packages. In this paper, we formalize this approach using BPMN (Business Process Modelling Language) for modelling more conceptual ETL workflows, mapping them to real execution primitives through the use of a domain-specific language that allows for the generation of specific instances that can be executed in an ETL commercial tool.

Using a domain-specific language to enrich ETL schemas

Today it is easy to find a lot of tools to define data migration schemas among different types of information systems. Data migration processes use to be implemented on a very diverse range of applications, ranging from conventional operational systems to data warehousing platforms. The implementation of a data migration process often involves a serious planning, considering the development of conceptual migration schemas at early stages. Such schemas help architects and engineers to plan and discuss the most adequate way to migrate data between two different systems. In this paper we present and discuss a way for enriching data migration conceptual schemas in BPMN using a domain-specific language, demonstrating how to convert such enriched schemas to a first correspondent physical representation (a skeleton) in a conventional ETL implementation tool like Kettle.

Nutritional status and specific leaf area of mahogany and tonka bean under two light environments

Studies on nutritional status and leaf traits were carried out in two tropical tree species Swietenia macrophylla King (mahogany) and Dipetryx odorata Aubl. Willd. (tonka bean) planted under contrasting light environments in Presidente Figueiredo-AM, Brazil. Leaves of S. macrophylla and D. odorata were collected in three year-old trees grown under full sunlight (about 2000 µmol m-2 s-1) and natural shade under a closed canopy of Balsa-wood plantation (Ochroma pyramidale Cav. Ex. Lam.Urb) about 260 µmol m-2 s-1. The parameters analysed were leaf area (LA), leaf dry mass (LDM), specific leaf area (SLA) and leaf nutrient contents. It was observed that, S. macrophylla leaves grown under full sunlight showed LA 35% lower than those grown under shade. In D. odorata leaves these differences in LA were not observed. In addition, it was observed that S. macrophylla shade leaves, for LDM, were 50% smaller than sun leaves, while in D. odorata, there differences were not observed. SLA in S. macrophylla presented that sun leaves were three times smaller than those grown under shade. In D. odorata, no differences were observed. Nutrient contents in S. macrophylla, regardless of their light environments, showed higher contents for P and Ca than those found in D. odorata. The N, K, Fe and Mn contents in S. macrophylla leaves decreased under shade. Finally, we suggest that the decreasing in leaf nutrient contents may have a negative influence on leaf growth. The results demonstrated that the tested hypothesis is true for leaf traits, which D. odorata, late-successional species, showed lower plasticity for leaf traits than Swietenia macrophylla, mid-successional species.

Development of high specific strength components, with internal cellular structure, for several applications

Dissertação de mestrado em Engenharia Mecânica

The Portuguese language version of social phobia and Anxiety Inventory: analysis of items and internal consistency in a Brazilian sample of 1,014 undergraduate students

OBJECTIVE: Theoretical and empirical analysis of items and internal consistency of the Portuguese-language version of Social Phobia and Anxiety Inventory (SPAI-Portuguese). METHODS: Social phobia experts conducted a 45-item content analysis of the SPAI-Portuguese administered to a sample of 1,014 university students. Item discrimination was evaluated by Student's t test; interitem, mean and item-to-total correlations, by Pearson coefficient; reliability was estimated by Cronbach's alpha. RESULTS: There was 100% agreement among experts concerning the 45 items. On the SPAI-Portuguese 43 items were discriminative (p < 0.05). A few inter-item correlations between both subscales were below 0.2. The mean inter-item correlations were: 0.41 on social phobia subscale; 0.32 on agoraphobia subscale and 0.32 on the SPAI-Portuguese. Item-to-total correlations were all higher then 0.3 (p < 0.001). Cronbach's alphas were: 0.95 on the SPAI-Portuguese; 0.96 on social phobia subscale; 0.85 on agoraphobia subscale. CONCLUSION: The 45-item content analysis revealed appropriateness concerning the underlying construct of the SPAI-Portuguese (social phobia, agoraphobia) with good discriminative capacity on 43 items. The mean inter-item correlations and reliability coefficients demonstrated the SPAI-Portuguese and subscales internal consistency and multidimensionality. No item was suppressed in the SPAI-Portuguese but the authors suggest that a shortened SPAI, in its different versions, could be an even more useful tool for research settings in social phobia.

Regulation of human mesenchymal stem cell osteogenesis by specific surface density of fibronectin: a gradient study

 The success of synthetic bone implants requires good interface between the material and the host tissue. To study the biological relevance of fi bronectin (FN) density on the osteogenic commitment of human bone marrow mesenchymal stem cells (hBMMSCs), human FN was adsorbed in a linear density gradient on the surface of PCL. The evolution of the osteogenic markers alkaline phosphatase and collagen 1 alpha 1 was monitored by immunohistochemistry, and the cytoskeletal organization and the cell-derived FN were assessed. The functional analysis of the gradient revealed that the lower FN-density elicited stronger osteogenic expression and higher cytoskeleton spreading, hallmarks of the stem cell commitment to the osteoblastic lineage. The identifi cation of the optimal FN density regime for the osteogenic commitment of hBM-MSCs presents a simple and versatile strategy to signifi cantly enhance the surface properties of polycaprolactone as a paradigm for other synthetic polymers intended for bone-related applications.

A critical evaluation of methods for the reconstruction of tissue-specific models

Under the framework of constraint based modeling, genome-scale metabolic models (GSMMs) have been used for several tasks, such as metabolic engineering and phenotype prediction. More recently, their application in health related research has spanned drug discovery, biomarker identification and host-pathogen interactions, targeting diseases such as cancer, Alzheimer, obesity or diabetes. In the last years, the development of novel techniques for genome sequencing and other high-throughput methods, together with advances in Bioinformatics, allowed the reconstruction of GSMMs for human cells. Considering the diversity of cell types and tissues present in the human body, it is imperative to develop tissue-specific metabolic models. Methods to automatically generate these models, based on generic human metabolic models and a plethora of omics data, have been proposed. However, their results have not yet been adequately and critically evaluated and compared. This work presents a survey of the most important tissue or cell type specific metabolic model reconstruction methods, which use literature, transcriptomics, proteomics and metabolomics data, together with a global template model. As a case study, we analyzed the consistency between several omics data sources and reconstructed distinct metabolic models of hepatocytes using different methods and data sources as inputs. The results show that omics data sources have a poor overlapping and, in some cases, are even contradictory. Additionally, the hepatocyte metabolic models generated are in many cases not able to perform metabolic functions known to be present in the liver tissue. We conclude that reliable methods for a priori omics data integration are required to support the reconstruction of complex models of human cells.

Cholesterol pericarditis. A specific but rare cause of pericardial disease

During a diagnostic investigation in a 40-year-old male with pericardial effusion associated with hypothyroidism, cholesterol pericarditis was detected. We report a brief review on the etiopathogeny, clinical findings, and therapeutical possibilities of this entity.

BIOMedical search engine framework: lightweight and customized implementation of domain-specific biomedical search engines

The Smart Drug Search is publicly accessible at http://sing.ei.uvigo.es/sds/. The BIOMedical Search Engine Framework is freely available for non-commercial use at https://github.com/agjacome/biomsef

Development of a subject-specific musculoskeletal shoulder model : inverse and forward dynamics applications

A prevalência de pessoas que referem dor no complexo articular do ombro, com concomitante limitação na capacidade para realizar atividades da vida diária, é elevada. Estes níveis de prevalência sobrecarregam quer os utentes, como a própria sociedade. A evidência científica atual indicia a existência de uma relação entre as alterações da articulação escápulo-torácica e as patologias associadas à articulação gleno-umeral. A capacidade de quantificar, cinemática e cineticamente, as disfunções ao nível das articulações escápulo-torácica e gleno-umeral, é algo de enorme importância, quer para a comunidade biomecânica, como para a clínica. No decorrer dos trabalhos desta tese foi desenvolvido, através do software OpenSim, um modelo tridimensional músculo-esquelético do complexo articular do ombro que inclui a representação do tórax/coluna, clavícula, omoplata, úmero, rádio, cúbito e articulações que permitem os movimentos relativos desses segmentos, assim como, 16 músculos e 4 ligamentos. Com um total de 11 graus de liberdade, incluindo um novo modelo articular escápulo-torácico, os resultados demonstram que este é capaz de reconstruir de forma precisa e rápida os movimentos escápulo-torácicos e glenoumerais, recorrendo para tal, à cinemática inversa, e à dinâmica inversa e direta. Conta ainda com um método de transformação inovador para determinar, com base nas especificidades dos sujeitos, os locais de inserção muscular. As principais motivações subjacentes ao desenvolvimento desta tese foram contribuir para o aprofundar do atual conhecimento sobre as disfunções do complexo articular do ombro e, simultaneamente, proporcionar à comunidade clínica uma ferramenta biomecânica de livre acesso com o intuito de melhor suportar as decisões clínicas e dessa forma concorrer para uma prática mais efetiva.

Síntesis, caracterización y aplicaciones específicas de metalosilicatos cristalinos micro y mesoporosos con incorporación de nanoestructuras. Synthesis, characterization and specific aplications of crystalline micro and mesoporous metallosilicates with nanostructures.

La síntesis de materiales cristalinos micro y mesoporosos con incorporación de micro/nano partículas/clusters de especies formadas con entidades propias interaccionando con las redes, como óxidos de metales, cationes de neutralización, especies metálicas, etc., pueden potencialmente ser utilizados como "materiales hospedaje" en óptica, electrónica, sensores, como materiales magnéticos, en estrategias ambientales de control de la contaminación, catálisis en general y procesos de separación. Se sintetizaran y caracterizaran por diversas técnicas fisicoquímicas, zeolitas microporosas de poro medio (ZSM) y poro grande (Y), y materiales mesoporosos (MCM-41). La aplicación de los mismos se orientara, por una parte, a procesos catalíticos tecnológicamente innovadores relacionados con los siguientes campos: a)catálisis ambiental: transformación de desechos plásticos (polietileno, polipropileno, poliestireno o mezclas de los mismos) a hidrocarburos de mayor valor agregado (gasolinas, gasoil, gases licuados de petróleo, hidrocarburos aromáticos); b)química fina: oxidación parcial de hidrocarburos aromáticos hacia la obtención de commodities, fármacos, etc. Por otra parte, se evaluaran las propiedades magnéticas (ferromagnetismo, paramagnetismo, superparamagnetismo, diamagnetismo) que algunos de estos materiales presentan, en busca de su correlación con sus propiedades catalíticas, cuando sea factible. Se estudiaran las condiciones óptimas de síntesis de los materiales, aplicando técnicas hidrotermicas o sol gel, controlando variables como temperaturas y tiempos de síntesis, pH de geles iniciales-intermedios-finales, tipo de fuentes precursoras, etc. La modificación de las matrices con Co, Cr, Mn, H, o Zn, se realizara mediante diversos tratamientos químicos (intercambio, impregnación) a partir de las sales correspondientes, con el objeto de incorporar elementos activos al estado iónico, metálico, clusters, etc.; y la influencia de distintos tratamientos térmicos (oxidantes, inertes o reductores; atmósferas dinámicas o estáticas; temperaturas). La caracterización estructural de los materiales será por: AA (cuantificación elemental de bulk); XRD (determinacion de presencia de especies oxidos o metalicas de Zn, Co, Cr, o Mn; determinacion de cristalinidad y estructura); BET (determinacion de area superficial); DSC-TG-DTA (determinacion de estabilidad de las matrices sintetizadas); FTIR de piridina (determinacion de tipo-fuerza-cantidad de sitios activos); Raman y UV-reflectancia difusa (determinacion de especies ionicas interacturando o depositadas sobre las matrices); TPR (identificacion de especies reducibles); SEM-EDAX (determinacion de tamaño de particulas de especies activas y de las matrices y cuanfiticacion superficial); Magnetómetros SQUID y de muestra vibrante (medición de magnetización y susceptibilidad magnética a temperatura ambiente con variación de campo externo aplicado, y variación de temperaturas (4 a 300 K) con campo externo fijo). En síntesis, se plantean tres grandes áreas de trabajo: No1)Síntesis y caracterización de materiales micro y mesoporosos nanoestructurados; No2) Evaluación de las propiedades catalíticas; No3) Evaluación de las propiedades magnéticas. Estos lineamientos nos permitirán generar nuevos conocimientos científicos-tecnológicos, formando recursos humanos (dos becarios posdoctorales; un becario doctoral; tres becarios alumnos de investigación; aproximadamente 15 pasantes de grado al año) aptos para emprender tales desafíos. Los conocimientos originados son constantemente trabajados en las actividades docentes de grado y posgrado que los integrantes del proyecto poseen. Finalmente serán transmitidos y puestos a consideración de pares evaluadores en presentaciones a congresos nacionales e internacionales y revistas especializadas.