A model-driven approach for facilitating user-friendly design of complex event patterns

Complex Event Processing (CEP) is an emerging technology which allows us to efficiently process and correlate huge amounts of data in order to discover relevant or critical situations of interest (complex events) for a specific domain. This technology requires domain experts to define complex event patterns, where the conditions to be detected are specified by means of event processing languages. However, these experts face the handicap of defining such patterns with editors which are not user-friendly enough. To solve this problem, a model-driven approach for facilitating user-friendly design of complex event patterns is proposed and developed in this paper. Besides, the proposal has been applied to different domains and several event processing languages have been compared. As a result, we can affirm that the presented approach is independent both of the domain where CEP technology has to be applied to and of the concrete event processing language required for defining event patterns

An Ontological Approach to Defining and Systematizing Traceability Terminologies

This paper outlines a structured ontological approach to defining and systematizing numerous product traceability terminologies in novel token-based and traditional enterprise systems (ES). It will aid researchers and manufacturers in regulated industries in defining syntactical and semantic standards for objects and events in the traceability domain. In this paper, a design science research method supports the development of a backward-forward-enterprise ontology (BFEO) artifact that helps to design and manage the complexity of multi-organization enterprise networks. This paper compares and evaluates this ontological artifact against several ontologies, offering further development opportunities. Finally, traceability professionals and various developer communities can adopt and further develop the ontology using simple development tools

Low Probability Events and Determining Acceptable Risk: The Case of Nuclear Regulation

This paper discusses two aspects of the problem of determining and managing risk policies for low probability events. The public choice problem concerns the difficulty of defining acceptable societal risk when there is considerable individual disagreement about acceptable risk. The information processing problem addresses how individuals and organizations perceive and make decisions about low probability, catastrophic events. Both problems, and their interactions, impact on policy design and institutional performance for this class of problems. The paper discusses these impacts and their implications for developing and managing public policies

CSF sTREM2: Marking the tipping point between preclinical AD and dementia?

Biomarkers for Alzheimer's disease (AD) have improved our understanding of the temporal sequence of biological events that lead to AD dementia (Jack et al, 2013). AD is characterized neuropathologically by amyloid plaques comprised of the amyloid‐β peptide and neurofibrillary tangles comprised of tau. Brain amyloid deposition, as evidenced by a decline in amyloid‐β peptide 42 (Aβ42) in the cerebrospinal fluid (CSF) or by binding of amyloid PET ligands, is thought to be a key initiating event in AD and begins many years prior to the onset of dementia. A rise in CSF tau and phosphorylated tau in the setting of Aβ deposition appears to reflect neurodegeneration and also begins years prior to the onset of dementia but after Aβ deposition has begun to accumulate. Individuals with “preclinical AD,” that is, normal cognition but abnormal AD biomarkers, have a much higher risk for developing AD dementia but may remain cognitively normal for years (Vos et al, 2013). While deposition of amyloid and formation of tau tangles are necessary for AD to occur, it is likely that additional events involving inflammation or other processes contribute to crossing the tipping point from preclinical AD to AD dementia. Current efforts are aimed at defining the biomarker(s) that best predict the transition from cognitive normality to abnormality. A biomarker that is closely associated with the onset of cognitive decline could help us to understand the biological events that connect amyloid deposition and tangle formation to cognitive decline and could have significant practical value in AD diagnosis and clinical trial design

A Trial of Early Antiretrovirals and Isoniazid Preventive Therapy in Africa

BACKGROUND: In sub-Saharan Africa, the burden of human immunodeficiency virus (HIV)-associated tuberculosis is high. We conducted a trial with a 2-by-2 factorial design to assess the benefits of early antiretroviral therapy (ART), 6-month isoniazid preventive therapy (IPT), or both among HIV-infected adults with high CD4+ cell counts in Ivory Coast. METHODS: We included participants who had HIV type 1 infection and a CD4+ count of less than 800 cells per cubic millimeter and who met no criteria for starting ART according to World Health Organization (WHO) guidelines. Participants were randomly assigned to one of four treatment groups: deferred ART (ART initiation according to WHO criteria), deferred ART plus IPT, early ART (immediate ART initiation), or early ART plus IPT. The primary end point was a composite of diseases included in the case definition of the acquired immunodeficiency syndrome (AIDS), non-AIDS-defining cancer, non-AIDS-defining invasive bacterial disease, or death from any cause at 30 months. We used Cox proportional models to compare outcomes between the deferred-ART and early-ART strategies and between the IPT and no-IPT strategies. RESULTS: A total of 2056 patients (41% with a baseline CD4+ count of ≥500 cells per cubic millimeter) were followed for 4757 patient-years. A total of 204 primary end-point events were observed (3.8 events per 100 person-years; 95% confidence interval [CI], 3.3 to 4.4), including 68 in patients with a baseline CD4+ count of at least 500 cells per cubic millimeter (3.2 events per 100 person-years; 95% CI, 2.4 to 4.0). Tuberculosis and invasive bacterial diseases accounted for 42% and 27% of primary end-point events, respectively. The risk of death or severe HIV-related illness was lower with early ART than with deferred ART (adjusted hazard ratio, 0.56; 95% CI, 0.41 to 0.76; adjusted hazard ratio among patients with a baseline CD4+ count of ≥500 cells per cubic millimeter, 0.56; 95% CI, 0.33 to 0.94) and lower with IPT than with no IPT (adjusted hazard ratio, 0.65; 95% CI, 0.48 to 0.88; adjusted hazard ratio among patients with a baseline CD4+ count of ≥500 cells per cubic millimeter, 0.61; 95% CI, 0.36 to 1.01). The 30-month probability of grade 3 or 4 adverse events did not differ significantly among the strategies. CONCLUSIONS: In this African country, immediate ART and 6 months of IPT independently led to lower rates of severe illness than did deferred ART and no IPT, both overall and among patients with CD4+ counts of at least 500 cells per cubic millimeter. (Funded by the French National Agency for Research on AIDS and Viral Hepatitis; TEMPRANO ANRS 12136 ClinicalTrials.gov number, NCT00495651.)

Bridging the Gap

School districts across the country are increasingly seeking out digital tools to support the work of educators, in the hopes of improving students' academic achievement. With the rapid emergence of this new market, many districts have been challenged by the task of identifying and procuring educational technology (ed-tech) products that match the needs of their educators and students.The NYC Department of Education's "Innovate NYC Schools" division, supported by a U.S. DOE Investing in Innovation (i3) grant, aims to address this problem, in part by promoting "user-centered design," an approach that puts the needs and preferences of products' intended users (in this case, teachers, students, and parents) front and center in the development and procurement of new technology.Bridging the Gap describes the design and implementation of three Innovate NYC Schools initiatives grounded in user-centered design theory:School Choice Design Challenge (SCDC),an effort to develop apps that would help students explore and narrow down their choices of high school.#SharkTankEDU events, during which ed-tech developers present a product to a panel of educators who provide feedback on the tool.Short-Cycle Evaluation Challenges (SCEC), a classroom-based, semester-long pilot of ed-tech tools intended to inform product development, as well as the ultimate procurement decisions of school staff.The report focuses on four phases of work involved in bringing ed-tech companies and the users of their products together: defining a problem; selecting users and ed-tech companies; implementing pilot-based initiatives; and evaluating products. It describes strategies used and challenges faced, and offers practical lessons gleaned from the experiences of the individuals who designed and participated in these efforts.