OpenUP/MDRE: A Model-Driven Requirements Engineering Approach for Health-Care Systems

The domains and problems for which it would be desirable to introduce information systems are currently very complex and the software development process is thus of the same complexity. One of these domains is health-care. Model-Driven Development (MDD) and Service-Oriented Architecture (SOA) are software development approaches that raise to deal with complexity, to reduce time and cost of development, augmenting flexibility and interoperability. However, many techniques and approaches that have been introduced are of little use when not provided under a formalized and well-documented methodological umbrella. A methodology gives the process a well-defined structure that helps in fast and efficient analysis and design, trouble-free implementation, and finally results in the software product improved quality. While MDD and SOA are gaining their momentum toward the adoption in the software industry, there is one critical issue yet to be addressed before its power is fully realized. It is beyond dispute that requirements engineering (RE) has become a critical task within the software development process. Errors made during this process may have negative effects on subsequent development steps, and on the quality of the resulting software. For this reason, the MDD and SOA development approaches should not only be taken into consideration during design and implementation as usually occurs, but also during the RE process. The contribution of this dissertation aims at improving the development process of health-care applications by proposing OpenUP/MDRE methodology. The main goal of this methodology is to enrich the development process of SOA-based health-care systems by focusing on the requirements engineering processes in the model-driven context. I believe that the integration of those two highly important areas of software engineering, gathered in one consistent process, will provide practitioners with many benets. It is noteworthy that the approach presented here was designed for SOA-based health-care applications, however, it also provides means to adapt it to other architectural paradigms or domains. The OpenUP/MDRE approach is an extension of the lightweight OpenUP methodology for iterative, architecture-oriented and model-driven software development. The motivation for this research comes from the experience I gained as a computer science professional working on the health-care systems. This thesis also presents a comprehensive study about: i) the requirements engineering methods and techniques that are being used in the context of the model-driven development, ii) known generic but flexible and extensible methodologies, as well as approaches for service-oriented systems development, iii) requirements engineering techniques used in the health-care industry. Finally, OpenUP/MDRE was applied to a concrete industrial health-care project in order to show the feasibility and accuracy of this methodological approach.Loniewski, G. (2010). OpenUP/MDRE: A Model-Driven Requirements Engineering Approach for Health-Care Systems. http://hdl.handle.net/10251/11652Archivo delegad

Simulations of events for the LUX-ZEPLIN (LZ) dark matter experiment

The LUX-ZEPLIN dark matter search aims to achieve a sensitivity to the WIMP-nucleon spin-independent cross-section down to (1–2)×10−12 pb at a WIMP mass of 40 GeV/c2. This paper describes the simulations framework that, along with radioactivity measurements, was used to support this projection, and also to provide mock data for validating reconstruction and analysis software. Of particular note are the event generators, which allow us to model the background radiation, and the detector response physics used in the production of raw signals, which can be converted into digitized waveforms similar to data from the operational detector. Inclusion of the detector response allows us to process simulated data using the same analysis routines as developed to process the experimental data

Incorporating Model-Driven Techniques into Requirements Engineering for the Service-Oriented Development Process

Abstract. Modern information systems, which are the result of the interconnection of systems of many organizations, run in variable contexts, and require both a lightweight approach to interoperability and the capability to actively react to changing requirements and failures. Model-Driven Development (MDD) and Service-Oriented Architecture (SOA) are software development approaches that deal with this complexity, reducing time and cost development and augmenting flexibility and interoperability. Although, requirements engineering is accepted as a critical activity in these approaches, there is a need to appropriately integrate and automate the requirements modeling and transformation tasks as part of MDD and SOA development approaches. Our proposal is a Rational Unified Process (RUP) extension, in which the requirements discipline is placed in a model-driven context in order to derive SOAs. This paper includes the definition of a model-driven requirements process including activities, roles, and work products

Projected sensitivity of the LUX-ZEPLIN experiment to the 0νββ decay of Xe 136

The LUX-ZEPLIN (LZ) experiment will enable a neutrinoless double β decay search in parallel to the main science goal of discovering dark matter particle interactions. We report the expected LZ sensitivity to Xe136 neutrinoless double β decay, taking advantage of the significant (>600 kg) Xe136 mass contained within the active volume of LZ without isotopic enrichment. After 1000 live-days, the median exclusion sensitivity to the half-life of Xe136 is projected to be 1.06×1026 years (90% confidence level), similar to existing constraints. We also report the expected sensitivity of a possible subsequent dedicated exposure using 90% enrichment with Xe136 at 1.06×1027 years

Measurement of the gamma ray background in the Davis cavern at the Sanford Underground Research Facility

Deep underground environments are ideal for low background searches due to the attenuation of cosmic rays by passage through the earth. However, they are affected by backgrounds from γ-rays emitted by 40K and the 238U and 232Th decay chains in the surrounding rock. The LUX-ZEPLIN (LZ) experiment will search for dark matter particle interactions with a liquid xenon TPC located within the Davis campus at the Sanford Underground Research Facility, Lead, South Dakota, at the 4850-foot level. In order to characterise the cavern background, in-situ γ-ray measurements were taken with a sodium iodide detector in various locations and with lead shielding. The integral count rates (0–3300 keV) varied from 596 Hz to 1355 Hz for unshielded measurements, corresponding to a total flux from the cavern walls of 1.9 ± 0.4 γ cm−2s−1. The resulting activity in the walls of the cavern can be characterised as 220 ± 60 Bq/kg of 40K, 29 ± 15 Bq/kg of 238U, and 13 ± 3 Bq/kg of 232Th

Burnout in healthcare - the Emperor's New Clothes

Burnout is common among physicians; it severely alters their health and has a negative impact on functioning of healthcare systems. Hypertension, increased cortisol levels, maladaptive behaviors with negative social consequences, and suboptimal quality of care have been associated with healthcare providers' burnout. As the number of patients with cancers, psychiatric and neurodegenerative disorders will rise, we need new solutions to maintain physicians' health and, therefore, quality of care. Coping strategies before the COVID-19 pandemic seem ineffective in scaling all the deficits of the global healthcare systems. Examples of new initiatives include new collaborative projects, such as COH-FIT (The Collaborative Outcomes study on Health and Functioning during Infection Times - https://www.coh-fit.com), which aims to collect global data and understand the impact of the COVID-19 pandemic on physical and mental health in order to identify various coping strategies for patients and healthcare workers during infection times, or MEMO (Minimizing Error, Maximizing Outcome), funded by the Agency of Healthcare Research and Quality (AHRQ). Others: i) Rome Foundation GastroPsych undertake efforts dedicated to the science and practice of psychogastroenterology, a burgeoning field with roots in behavioral intervention, cognitive science and experimental psychology focused on fostering the professional growth and collaboration of those engaged in medical practices, or ii) World Gastroenterology Organisation (WGO), Train The Trainers (TTT) program including a new topic of the impact of burnout on career longevity in order to foster strategies for staying healthy and increasing career satisfaction. There is a need for continuous development of digital technologies (e.g. training simulators, telemedicine, robots and artificial intelligence). Their implementation into medical practice is inevitable. Now more than ever, there is a need for a new spirit in healthcare. Together with others in the field, we believe this article is a desperate call for maximizing the use of novel technologies supported by collaborative interactions among healthcare providers and medical professionals of diverse medical fields

Burnout in healthcare - the Emperor's New Clothes

Burnout is common among physicians; it severely alters their health and has a negative impact on functioning of healthcare systems. Hypertension, increased cortisol levels, maladaptive behaviors with negative social consequences, and suboptimal quality of care have been associated with healthcare providers' burnout. As the number of patients with cancers, psychiatric and neurodegenerative disorders will rise, we need new solutions to maintain physicians' health and, therefore, quality of care. Coping strategies before the COVID-19 pandemic seem ineffective in scaling all the deficits of the global healthcare systems. Examples of new initiatives include new collaborative projects, such as COH-FIT (The Collaborative Outcomes study on Health and Functioning during Infection Times - https://www.coh-fit.com), which aims to collect global data and understand the impact of the COVID-19 pandemic on physical and mental health in order to identify various coping strategies for patients and healthcare workers during infection times, or MEMO (Minimizing Error, Maximizing Outcome), funded by the Agency of Healthcare Research and Quality (AHRQ). Others: i) Rome Foundation GastroPsych undertake efforts dedicated to the science and practice of psychogastroenterology, a burgeoning field with roots in behavioral intervention, cognitive science and experimental psychology focused on fostering the professional growth and collaboration of those engaged in medical practices, or ii) World Gastroenterology Organisation (WGO), Train The Trainers (TTT) program including a new topic of the impact of burnout on career longevity in order to foster strategies for staying healthy and increasing career satisfaction. There is a need for continuous development of digital technologies (e.g. training simulators, telemedicine, robots and artificial intelligence). Their implementation into medical practice is inevitable. Now more than ever, there is a need for a new spirit in healthcare. Together with others in the field, we believe this article is a desperate call for maximizing the use of novel technologies supported by collaborative interactions among healthcare providers and medical professionals of diverse medical fields.</p

Bordetella pertussis Infection Exacerbates Influenza Virus Infection through Pertussis Toxin-Mediated Suppression of Innate Immunity

Pertussis (whooping cough) is frequently complicated by concomitant infections with respiratory viruses. Here we report the effect of Bordetella pertussis infection on subsequent influenza virus (PR8) infection in mouse models and the role of pertussis toxin (PT) in this effect. BALB/c mice infected with a wild-type strain of B. pertussis (WT) and subsequently (up to 14 days later) infected with PR8 had significantly increased pulmonary viral titers, lung pathology and mortality compared to mice similarly infected with a PT-deficient mutant strain (ΔPT) and PR8. Substitution of WT infection by intranasal treatment with purified active PT was sufficient to replicate the exacerbating effects on PR8 infection in BALB/c and C57/BL6 mice, but the effects of PT were lost when toxin was administered 24 h after virus inoculation. PT had no effect on virus titers in primary cultures of murine tracheal epithelial cells (mTECs) in vitro, suggesting the toxin targets an early immune response to increase viral titers in the mouse model. However, type I interferon responses were not affected by PT. Whole genome microarray analysis of gene expression in lung tissue from PT-treated and control PR8-infected mice at 12 and 36 h post-virus inoculation revealed that PT treatment suppressed numerous genes associated with communication between innate and adaptive immune responses. In mice depleted of alveolar macrophages, increase of pulmonary viral titers by PT treatment was lost. PT also suppressed levels of IL-1β, IL-12, IFN-γ, IL-6, KC, MCP-1 and TNF-α in the airways after PR8 infection. Furthermore PT treatment inhibited early recruitment of neutrophils and NK cells to the airways. Together these findings demonstrate that infection with B. pertussis through PT activity predisposes the host to exacerbated influenza infection by countering protective innate immune responses that control virus titers

Simulations of events for the LUX-ZEPLIN (LZ) dark matter experiment

The LUX-ZEPLIN dark matter search aims to achieve a sensitivity to the WIMP-nucleon spin-independent cross-section down to (1–2)x10-12 pb at a WIMP mass of 40  GeV/c2. This paper describes the simulations framework that, along with radioactivity measurements, was used to support this projection, and also to provide mock data for validating reconstruction and analysis software. Of particular note are the event generators, which allow us to model the background radiation, and the detector response physics used in the production of raw signals, which can be converted into digitized waveforms similar to data from the operational detector. Inclusion of the detector response allows us to process simulated data using the same analysis routines as developed to process the experimental data