The Requirements for Ontologies in Medical Data Integration: A Case Study

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patients medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scattered in a variety of databases and may, in a distributed model, be held across several disparate repositories. Consequently addressing the needs of an evidence-based medicine community presents issues of biomedical data integration, clinical interpretation and knowledge management. This paper outlines how the Health-e-Child project has approached the challenge of requirements specification for (bio-) medical data integration, from the level of cellular data, through disease to that of patient and population. The approach is illuminated through the requirements elicitation and analysis of Juvenile Idiopathic Arthritis (JIA), one of three diseases being studied in the EC-funded Health-e-Child project.Comment: 6 pages, 1 figure. Presented at the 11th International Database Engineering & Applications Symposium (Ideas2007). Banff, Canada September 200

Triggering and characterisation of realistic internal short circuits in lithium-ion pouch cells: a new approach using precise needle penetration

The internal short circuit (ISC) in lithium-ion batteries is a serious problem because it is probably the most common cause of a thermal runaway (TR) that still presents many open questions although it has been intensively investigated. Therefore this article focuses on the generation and characterisation of the local single-layer ISC, which is particularly relevant in practice application. A new, very promising method of precise needle penetration made it possible to generate the most safety-critical short-circuit type, the contact between the Al-Collector and the graphite active material of the anode reliable, demonstrated on a 10 Ah Graphite/NMC pouch cell. The special efforts in achieving high reproducibility as well as the detailed analysis of the initiated internal short-circuit conditions led to more reliable and meaningful results. A comprehensive approach to characterisation has been made by detailed measurement of the dynamic short-circuit evolution and a subsequent post-characterisation, which included the application of different electrochemical measurement techniques as well as a post-abuse analysis. It was shown that the cells demonstrated a very individual and difficult-to-predict behaviour, which is a major challenge for early failure detection and risk assessment of cells with an existing or former ISC. On the one hand, it is found that despite high local temperatures of over 1260 ◦C and significant damage to the cell-internal structure, the cell did not develop a TR even with further cycling. On the other hand, it was observed that the TR occurs spontaneously without any previous abnormalities. Based on the overall test results, it was shown that at the high state of charge (SOC = 100 %) even small, dynamically developing voltage drops must be classified as safety-critical for the cell. For reliable and early failure detection, the first voltage drops of the ISC must already be detected

Systematic approach for the test data generation and validation of ISC/ ESC detection methods

Various methods published in recent years for reliable detection of battery faults (mainly internal short circuit (ISC)) raise the question of comparability and cross-method evaluation, which cannot yet be answered due to significant differences in training data and boundary conditions. This paper provides a Monte Carlo-like simulation approach to generate a reproducible, comprehensible and large dataset based on an extensive literature background on common assumptions and simulation parameters. In some cases, these assumptions are quite different from field data, as shown by comparison with experimentally determined values. Two relatively simple ISC detection methods are tested on the generated dataset and their performance is evaluated to illustrate the proposed approach. The evaluation of the detection performance by quantitative measures such as the Youden-index shows a high divergence with respect to internal and external parameters such as threshold level and cell-to-cell variations (CtCV), respectively. These results underline the importance of quantitative evaluations based on identical test data. The proposed approach is able to support this task by providing cost-effective test data generation with incorporation of known factors affecting detection quality

Systematic approach for the test data generation and validation of ISC/ESC detection methods

Various methods published in recent years for reliable detection of battery faults (mainly internal short circuit (ISC)) raise the question of comparability and cross-method evaluation, which cannot yet be answered due to significant differences in training data and boundary conditions. This paper provides a Monte Carlo-like simulation approach to generate a reproducible, comprehensible and large dataset based on an extensive literature search on common assumptions and simulation parameters. In some cases, these assumptions are quite different from field data, as shown by comparison with experimentally determined values. Two relatively simple ISC detection methods are tested on the generated dataset and their performance is evaluated to illustrate the proposed approach. The evaluation of the detection performance by quantitative measures such as the Youden-index shows a high divergence with respect to internal and external parameters such as threshold level and cell-to-cell variations (CtCV), respectively. These results underline the importance of quantitative evaluations based on identical test data. The proposed approach is able to support this task by providing cost-effective test data generation with incorporation of known factors affecting detection quality

An Empirical Examination of Optimal Rotations in a Multiple-Use Forest

Fires are an important and natural component of forest ecosystems that affect the timber value of forests, and thus optimal rotations. Fire also affects amenity values provided by forests. This analysis examines the relationships among forest fire risk, timber values, and amenity values in a Faustmann rotation framework. An empirical application of the model is presented where jack pine growth in the Canadian Shield region is integrated with the nonmarket values associated with wilderness recreation. The results suggest that while the rotation period ofjack pine is shorter in the presence'of fire risk, the inclusion of this particular amenity would lengthen rotation periods. The level of visits to the wilderness area has a significant effect on the rotation period. Failure to account for backcountry recreation in rotations of forests in multiple-use wilderness areas of the Canadian Shield would result in suboptimal management

Assessing population exposure to coastal flooding due to sea level rise

The exposure of populations to sea-level rise (SLR) is a leading indicator assessing the impact of future climate change on coastal regions. SLR exposes coastal populations to a spectrum of impacts with broad spatial and temporal heterogeneity, but exposure assessments often narrowly define the spatial zone of flooding. Here we show how choice of zone results in differential exposure estimates across space and time. Further, we apply a spatio-temporal flood-modeling approach that integrates across these spatial zones to assess the annual probability of population exposure. We apply our model to the coastal United States to demonstrate a more robust assessment of population exposure to flooding from SLR in any given year. Our results suggest that more explicit decisions regarding spatial zone (and associated temporal implication) will improve adaptation planning and policies by indicating the relative chance and magnitude of coastal populations to be affected by future SLR.PRIFPRI3; ISIDSG

Distributing Reflexivity through Co-laborative Ethnography

In ethnographic research and analysis, reflexivity is vital to achieving constant coordination between field and concept work. However, it has been conceptualized predominantly as an ethnographer’s individual mental capacity. In this article, we draw on ten years of experience in conducting research together with partners from social psychiatry and mental health care across different research projects. We unfold three modes of achieving reflexivity co-laboratively: contrasting and discussing disciplinary concepts in interdisciplinary working groups and feedback workshops; joint data interpretation and writing; and participating in political agenda setting. Engaging these modes reveals reflexivity as a distributed process able to strengthen the ethnographer’s interpretative authority, and also able to constantly push the conceptual boundaries of the participating disciplines and professions.Heinrich Böll Stiftung https://doi.org/10.13039/100009379Deutsche Forschungsgemeinschaft https://doi.org/10.13039/501100001659Deutsche Forschungsgemeinschaft https://doi.org/10.13039/501100001659Peer Reviewe

Primary immunoblastic B-cell lymphoma of the sternum

AbstractJ Thorac Cardiovasc Surg 1997;114:684-

Additively manufactured flow-resistive pulse sensors

Resistive pulse sensors (RPSs) provide detailed characterization of materials from the nanoparticle up to large biological cells on a particle-to-particle basis. During the RPS experiment, particles pass through a channel or pore that conducts ions, and the change in the ionic current versus time is monitored. The change in current during each translocation, also known as a “pulse”, is dependent on the ratio of the particle and channel dimensions. Here we present a facile and rapid method for producing flow-RPSs that do not require lithographic processes. The additively manufactured sensor has channel dimensions that can be easily controlled. In addition, the fabrication process allows the sensor to be quickly assembled, disassembled, cleaned, and reused. Furthermore, the RPS can be created with a direct interface for fluidic pumps or imaging window for complementary optical microscopy. We present experiments and simulations of the RPS, showing how the pulse shapes are dependent on the channel morphology and how the device can count and size particles across a range of flow rates and ionic strengths. The use of pressure-driven fluid flow through the device allowed a rapid characterization of particles down to concentrations as low as 1 × 10–3 particles per mL, which equated to one event per second