Autonomous platform for life-critical decision support in the ICU

Part 2: PhD Workshop: Autonomic Network and Service ManagementInternational audienceThe Intensive Care Unit is a complex, data-intensive and critical environment in which the adoption of Information Technology is growing. As physicians become more dependent on the computing technology to support decisions, raise real-time alerts and notifications of patient-specific conditions, this software has strong dependability requirements. The dependability challenges are expressed in terms of availability, reliability, performance, usability and maintenance of the system. Our research focuses on the design and development of a generic autonomous ICU service platform. COSARA is a computer-based platform for infection surveillance and antibiotic management in ICU. During its design, development and evaluation, we identified both technological and human factors that affect robustness. We presented the identified research questions that will be addressed in detail during PhD research

Chemically modified chitosans as antimicrobial agents against some plant pathogenic bacteria and fungi

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Ypresian

The historical Ypresian stage concept or Ypresian Synthem, on which this paper focuses, was introduced by A. Dumont in 1849 (minutes of the meeting published in 1850) to specify marine clays and overlying glauconitic sands occurring in the Ieper area (W Belgium), although without mentioning stratotype or type locality. This concept, which clearly evolved in the course of the 19th and 20th century, fundamentally differs from the GSSP-defined Standard Global Ypresian Stage (GSSP ratified in 2003 at Dababiya, Egypt). The latter ranges from 55.8 (± 0.2) to 48.6 (± 0.2) Ma and represents the lowermost Eocene Standard Stage. Here, we briefly discuss the different geological aspects of the Ypresian sensu Dumont, currently equated with the Ieper Group, including its stratigraphy and its sedimentological and palaeontological characteristics. The structural context and palaeogeography of the Belgian Basin during the Ypresian are outlined. The major scientific contributions are thematically listed

Autonomic care platform for optimizing query performance

Background: As the amount of information in electronic health care systems increases, data operations get more complicated and time-consuming. Intensive Care platforms require a timely processing of data retrievals to guarantee the continuous display of recent data of patients. Physicians and nurses rely on this data for their decision making. Manual optimization of query executions has become difficult to handle due to the increased amount of queries across multiple sources. Hence, a more automated management is necessary to increase the performance of database queries. The autonomic computing paradigm promises an approach in which the system adapts itself and acts as self-managing entity, thereby limiting human interventions and taking actions. Despite the usage of autonomic control loops in network and software systems, this approach has not been applied so far for health information systems. Methods: We extend the COSARA architecture, an infection surveillance and antibiotic management service platform for the Intensive Care Unit (ICU), with self-managed components to increase the performance of data retrievals. We used real-life ICU COSARA queries to analyse slow performance and measure the impact of optimizations. Each day more than 2 million COSARA queries are executed. Three control loops, which monitor the executions and take action, have been proposed: reactive, deliberative and reflective control loops. We focus on improvements of the execution time of microbiology queries directly related to the visual displays of patients' data on the bedside screens. Results: The results show that autonomic control loops are beneficial for the optimizations in the data executions in the ICU. The application of reactive control loop results in a reduction of 8.61% of the average execution time of microbiology results. The combined application of the reactive and deliberative control loop results in an average query time reduction of 10.92% and the combination of reactive, deliberative and reflective control loops provides a reduction of 13.04%. Conclusions: We found that by controlled reduction of queries' executions the performance for the end-user can be improved. The implementation of autonomic control loops in an existing health platform, COSARA, has a positive effect on the timely data visualization for the physician and nurse

Farmers’ acceptance of further strengthening of private certification systems

In their continuous quest for ecologic improvements, private voluntary certification initiatives might undermine the willingness to continue of the participating farmers. In this research, the ecologic contribution and the farmers’ acceptance of changing the pesticide policy of a private certification initiative is presented. To measure the perceived farmers’ disutility, the choice preference technique is used. We can conclude that there is room for ecologic improvements but that farmers are in general change averse, primarily because of the fear that price compensation will remain largely absent.choice preference, pesticides, certification, Crop Production/Industries, Demand and Price Analysis,