Eosinophilic Pneumonia Associated with Rheumatoid Arthritis: Description of a Case Report and Review of the Literature

Rheumatoid arthritis (RA), a systemic inflammatory disease, may induce pulmonary manifestations. We describe a case of longstanding RA presenting with eosinophilic pneumonia (EP). Rare case reports of tissue eosinophilia involving isolated organs in the setting of RA exist in the literature. It has been shown that the production of proinflammatory cytokines activates different cell group and can simultaneously play a role in RA and induce eosinophils infiltration in target tissue. An appropriate lowest possible dosage of steroid therapy is essential, whereas EP may be a rare subset of pulmonary involvement in RA.

Artificial Immune Tissue using Self-Organizing Networks

As introduced by Bentley et al. (2005), artificial immune systems (AIS) are lacking tissue, which is present in one form or another in all living multi-cellular organisms. Some have argued that this concept in the context of AIS brings little novelty to the already saturated field of the immune inspired computational research. This article aims to show that such a component of an AIS has the potential to bring an advantage to a data processing algorithm in terms of data pre-processing, clustering and extraction of features desired by the immune inspired system. The proposed tissue algorithm is based on self-organizing networks, such as self-organizing maps (SOM) developed by Kohonen (1996) and an analogy of the so called Toll-Like Receptors (TLR) affecting the activation function of the clusters developed by the SOM.

Usefulness of social tagging in organizing and providing access to the web: An analysis of indexing consistency and quality

This dissertation research points out major challenging problems with current Knowledge Organization (KO) systems, such as subject gateways or web directories: (1) the current systems use traditional knowledge organization systems based on controlled vocabulary which is not very well suited to web resources, and (2) information is organized by professionals not by users, which means it does not reflect intuitively and instantaneously expressed users’ current needs. In order to explore users’ needs, I examined social tags which are user-generated uncontrolled vocabulary. As investment in professionally-developed subject gateways and web directories diminishes (support for both BUBL and Intute, examined in this study, is being discontinued), understanding characteristics of social tagging becomes even more critical. Several researchers have discussed social tagging behavior and its usefulness for classification or retrieval; however, further research is needed to qualitatively and quantitatively investigate social tagging in order to verify its quality and benefit. This research particularly examined the indexing consistency of social tagging in comparison to professional indexing to examine the quality and efficacy of tagging. The data analysis was divided into three phases: analysis of indexing consistency, analysis of tagging effectiveness, and analysis of tag attributes. Most indexing consistency studies have been conducted with a small number of professional indexers, and they tended to exclude users. Furthermore, the studies mainly have focused on physical library collections. This dissertation research bridged these gaps by (1) extending the scope of resources to various web documents indexed by users and (2) employing the Information Retrieval (IR) Vector Space Model (VSM) - based indexing consistency method since it is suitable for dealing with a large number of indexers. As a second phase, an analysis of tagging effectiveness with tagging exhaustivity and tag specificity was conducted to ameliorate the drawbacks of consistency analysis based on only the quantitative measures of vocabulary matching. Finally, to investigate tagging pattern and behaviors, a content analysis on tag attributes was conducted based on the FRBR model. The findings revealed that there was greater consistency over all subjects among taggers compared to that for two groups of professionals. The analysis of tagging exhaustivity and tag specificity in relation to tagging effectiveness was conducted to ameliorate difficulties associated with limitations in the analysis of indexing consistency based on only the quantitative measures of vocabulary matching. Examination of exhaustivity and specificity of social tags provided insights into particular characteristics of tagging behavior and its variation across subjects. To further investigate the quality of tags, a Latent Semantic Analysis (LSA) was conducted to determine to what extent tags are conceptually related to professionals’ keywords and it was found that tags of higher specificity tended to have a higher semantic relatedness to professionals’ keywords. This leads to the conclusion that the term’s power as a differentiator is related to its semantic relatedness to documents. The findings on tag attributes identified the important bibliographic attributes of tags beyond describing subjects or topics of a document. The findings also showed that tags have essential attributes matching those defined in FRBR. Furthermore, in terms of specific subject areas, the findings originally identified that taggers exhibited different tagging behaviors representing distinctive features and tendencies on web documents characterizing digital heterogeneous media resources. These results have led to the conclusion that there should be an increased awareness of diverse user needs by subject in order to improve metadata in practical applications. This dissertation research is the first necessary step to utilize social tagging in digital information organization by verifying the quality and efficacy of social tagging. This dissertation research combined both quantitative (statistics) and qualitative (content analysis using FRBR) approaches to vocabulary analysis of tags which provided a more complete examination of the quality of tags. Through the detailed analysis of tag properties undertaken in this dissertation, we have a clearer understanding of the extent to which social tagging can be used to replace (and in some cases to improve upon) professional indexing.

Excess pneumonia and influenza hospitalizations associated with influenza epidemics in Portugal from 1998 to 2015

In Portugal there is no severe acute respiratory infection surveillance system in place. Estimation of influenza burden has been accessed using hospital discharge database that covers the mainland Portuguese population. The objective of this study was to estimate the excess of pneumonia or influenza (P&I) hospitalizations during influenza epidemics from seasons 1998-99 to 2014-15 in mainland Portugal.

A three-dimensional representation method for noisy point clouds based on growing self-organizing maps accelerated on GPUs

The research described in this thesis was motivated by the need of a robust model capable of representing 3D data obtained with 3D sensors, which are inherently noisy. In addition, time constraints have to be considered as these sensors are capable of providing a 3D data stream in real time. This thesis proposed the use of Self-Organizing Maps (SOMs) as a 3D representation model. In particular, we proposed the use of the Growing Neural Gas (GNG) network, which has been successfully used for clustering, pattern recognition and topology representation of multi-dimensional data. Until now, Self-Organizing Maps have been primarily computed offline and their application in 3D data has mainly focused on free noise models, without considering time constraints. It is proposed a hardware implementation leveraging the computing power of modern GPUs, which takes advantage of a new paradigm coined as General-Purpose Computing on Graphics Processing Units (GPGPU). The proposed methods were applied to different problem and applications in the area of computer vision such as the recognition and localization of objects, visual surveillance or 3D reconstruction.

Incidence and Pattern of Pneumonia in Goats Slaughtered at the Kumasi Abattoir, Ghana

This study aimed at determining the incidence and pattern of pneumonia, in slaughtered goats in Kumasi abattoir, Ghana. One thousand three hundred and fifty lungs of goats; (1,012 Sahelian and 338 West Africa Dwarf goats (WAD) lungs) of different ages (less than a year to above 4 years) were used in this study. The frequency of occurrence of pneumonia, the degree of consolidation as a percentage of the total lung volume and histological assessment were determined by standard techniques. Fifty five (55) lungs (39 Sahelian, 16 WAD goats) were pneumonic (4.07% prevalence). The right lungs had a significant higher average lung consolidation percentage (19.11) while the right cranial lobes were more affected (9.37). WAD goats of 1-2 years are mostly affected with an average percentage consolidation of 11.73% while Sahelian goats above 4 years of age were the most affected with 32.59% consolidation. Does of both breeds were more while Sahelian goats had higher consolidation than other breeds. Histological examination revealed the presence of giant cell, fibrinous and suppurative bronchointerstitial pneumonia suggesting complicated viral pneumonia which was observed to be the most important caprine pneumonia in slaughtered goats in Ghana. Transportation and pregnancy stress were the major contributory factor to the pneumonia observed hence effective ante-mortem examinations will help to minimize the slaughter of pregnant does and transportation stress in Ghana.

Why intelligent travel system is a good organizing trips tool for Polish tourists?

Paper based on the report for the unit on “Sociology of New Information Technologies” at the MSc Industrial Management and Engineering at the Universidade Nova Lisbon, Faculty of Sciences and Technology, under supervision of Prof. António B. Moniz. The report had the support from the ERASMUS program.

Pneumonia and influenza: specific considerations in care homes

This review provides an update on current evidence surrounding epidemiology, treatment and prevention of lower respiratory tract infection, with special reference to pneumonia and influenza, in care home residents. The care home sector is growing and provides a unique ecological niche for infections, housing frail older people with multiple comorbidities and frequent contact with healthcare services. There are therefore considerations in the epidemiology and management of these conditions which are specific to care homes. Opportunities for prevention, in the form of vaccination strategies and improving oral hygiene, may reduce the burden of these diseases in the future. Work is needed to research these infections specifically in the care home setting and this article highlights current gaps in our knowledge.

Self-Organizing Map Neural Architectures Based on Limit Cycle Attractors

Recent efforts to develop large-scale neural architectures have paid relatively little attention to the use of self-organizing maps (SOMs). Part of the reason is that most conventional SOMs use a static encoding representation: Each input is typically represented by the fixed activation of a single node in the map layer. This not only carries information in an inefficient and unreliable way that impedes building robust multi-SOM neural architectures, but it is also inconsistent with rhythmic oscillations in biological neural networks. Here I develop and study an alternative encoding scheme that instead uses limit cycle attractors of multi-focal activity patterns to represent input patterns/sequences. Such a fundamental change in representation raises several questions: Can this be done effectively and reliably? If so, will map formation still occur? What properties would limit cycle SOMs exhibit? Could multiple such SOMs interact effectively? Could robust architectures based on such SOMs be built for practical applications? The principal results of examining these questions are as follows. First, conditions are established for limit cycle attractors to emerge in a SOM through self-organization when encoding both static and temporal sequence inputs. It is found that under appropriate conditions a set of learned limit cycles are stable, unique, and preserve input relationships. In spite of the continually changing activity in a limit cycle SOM, map formation continues to occur reliably. Next, associations between limit cycles in different SOMs are learned. It is shown that limit cycles in one SOM can be successfully retrieved by another SOM’s limit cycle activity. Control timings can be set quite arbitrarily during both training and activation. Importantly, the learned associations generalize to new inputs that have never been seen during training. Finally, a complete neural architecture based on multiple limit cycle SOMs is presented for robotic arm control. This architecture combines open-loop and closed-loop methods to achieve high accuracy and fast movements through smooth trajectories. The architecture is robust in that disrupting or damaging the system in a variety of ways does not completely destroy the system. I conclude that limit cycle SOMs have great potentials for use in constructing robust neural architectures.

CURB-65 and other markers of illness severity in community-acquired pneumonia among HIV-positive patients

Introduction: As the relative burden of community-acquired bacterial pneumonia among HIV-positive patients increases, adequate prediction of case severity on presentation is crucial. We sought to determine what characteristics measurable on presentation are predictive of worse outcomes. Methods: We studied all admissions for community-acquired bacterial pneumonia over 1 year at a tertiary centre. Patient demographics, comorbidities, HIV-specific markers and CURB-65 scores on Emergency Department presentation were reviewed. Outcomes of interest included mortality, bacteraemia, intensive care unit admission and orotracheal intubation. Results: A total of 396 patients were included, 49 HIV positive and 347 HIV negative. Mean CURB-65 score was 1.3 for HIV-positive and 2.2 for HIV-negative patients (p<0.0001), its predictive value for mortality being maintained in both groups (p¼0.03 and p<0.001, respectively). Adjusting for CURB-65 scores, HIV infection by itself was only associated with bacteraemia (adjusted odds ratio 7.1 CI 95% [2.6–19.5]). Patients with<200 CD4 cells/mL presented similar CURB- 65 adjusted mortality (adjusted odds ratio 1.7 CI 95% [0.2–15.2]), but higher risk of intensive care unit admission (adjusted odds ratio 5.7 CI 95% [1.5–22.0]) and orotracheal intubation (adjusted odds ratio 9.1 CI 95% [2.2–37.1]), compared to HIV-negative patients. These two associations were not observed in the>200 CD4 cells/mL subgroup (adjusted odds ratio 2.2 CI 95% [0.7–7.6] and adjusted odds ratio 0.8 CI 95% [0.1–6.5] respectively). Antiretroviral therapy and viral load suppression were not associated with different outcomes (p>0.05). Conclusions: High CURB-65 scores and CD4 counts<200 cells/mL were both associated with worse outcomes. Severity assessment scales and CD4 counts may both be helpful in predicting severity in HIV-positive patients presenting with community-acquired bacterial pneumonia.

Extracorporeal circuit for Panton-Valentine leukocidin-producing Staphylococcus aureus necrotizing pneumonia [Traitement par ECMO d'une pneumopathie nécrosante à Staphylococcus aureus producteur de la leucocidine de Panton-Valentine]

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Th1/Th2 Cytokine Profile and Its Diagnostic Value in Mycoplasma pneumoniae Pneumonia

Background: The levels of Th1/Th2 cytokine can alter in pathogenic infection in children with pneumonia. Objectives: To evaluate Th1/Th2 cytokine profile and its diagnostic value in M. pneumoniae pneumonia in children. Patients and Methods: Children with M. pneumoniae mono-infection and 30 healthy children were tested with cytokines assay. We used real time PCR to detect M. pneumoniae in children with pneumonia. Results: M. pneumoniae test was positive in 2188 (16.62%) out of 13161 pneumonia children. Children aged 5 - 9 years had the highest rate and summer was a season with high rate of M. pneumoniae incidence in Zhejiang province. During the course of study, in 526 pneumonia children with M. pneumoniae mono-infection and 30 healthy children cytokines assay was performed. IL-2 level of M. pneumoniae pneumonia children was lower than that of healthy children (median levels, pg/mL: IL-2: 3.2 vs. 5.7, P = 0.00), while IL-4, IL-10 and IFN-γ were higher than in healthy children (median levels, pg/mL: IL-4: 3.2 vs. 1.5, P = 0.00; IL-10: 5.6 vs. 2.5, P = 0.001; IFN-γ: 20.4 vs. 4.8, P = 0.001). Conclusions: IL-2 decreases and IL-4, IL-10 and IFN-γ increase in children with M. pneumoniae pneumonia, which has a promising prospect in diagnosis of this disease in clinical practice.