15,802 research outputs found
A structural Markov property for decomposable graph laws that allows control of clique intersections
We present a new kind of structural Markov property for probabilistic laws on
decomposable graphs, which allows the explicit control of interactions between
cliques, so is capable of encoding some interesting structure. We prove the
equivalence of this property to an exponential family assumption, and discuss
identifiability, modelling, inferential and computational implications.Comment: 10 pages, 3 figures; updated from V1 following journal review, new
more explicit title and added section on inferenc
Sampling decomposable graphs using a Markov chain on junction trees
Full Bayesian computational inference for model determination in undirected
graphical models is currently restricted to decomposable graphs, except for
problems of very small scale. In this paper we develop new, more efficient
methodology for such inference, by making two contributions to the
computational geometry of decomposable graphs. The first of these provides
sufficient conditions under which it is possible to completely connect two
disconnected complete subsets of vertices, or perform the reverse procedure,
yet maintain decomposability of the graph. The second is a new Markov chain
Monte Carlo sampler for arbitrary positive distributions on decomposable
graphs, taking a junction tree representing the graph as its state variable.
The resulting methodology is illustrated with numerical experiments on three
specific models.Comment: 22 pages, 7 figures, 1 table. V2 as V1 except that Fig 1 was
corrected. V3 has significant edits, dropping some figures and including
additional examples and a discussion of the non-decomposable case. V4 is
further edited following review, and includes additional reference
Piloted simulation of a ground-based time-control concept for air traffic control
A concept for aiding air traffic controllers in efficiently spacing traffic and meeting scheduled arrival times at a metering fix was developed and tested in a real time simulation. The automation aid, referred to as the ground based 4-D descent advisor (DA), is based on accurate models of aircraft performance and weather conditions. The DA generates suggested clearances, including both top-of-descent-point and speed-profile data, for one or more aircraft in order to achieve specific time or distance separation objectives. The DA algorithm is used by the air traffic controller to resolve conflicts and issue advisories to arrival aircraft. A joint simulation was conducted using a piloted simulator and an advanced concept air traffic control simulation to study the acceptability and accuracy of the DA automation aid from both the pilot's and the air traffic controller's perspectives. The results of the piloted simulation are examined. In the piloted simulation, airline crews executed controller issued descent advisories along standard curved path arrival routes, and were able to achieve an arrival time precision of + or - 20 sec at the metering fix. An analysis of errors generated in turns resulted in further enhancements of the algorithm to improve the predictive accuracy. Evaluations by pilots indicate general support for the concept and provide specific recommendations for improvement
Simulator evaluation of the final approach spacing tool
The design and simulator evaluation of an automation tool for assisting terminal radar approach controllers in sequencing and spacing traffic onto the final approach course is described. The automation tool, referred to as the Final Approach Spacing Tool (FAST), displays speed and heading advisories for arrivals as well as sequencing information on the controller's radar display. The main functional elements of FAST are a scheduler that schedules and sequences the traffic, a 4-D trajectory synthesizer that generates the advisories, and a graphical interface that displays the information to the controller. FAST was implemented on a high performance workstation. It can be operated as a stand-alone in the Terminal Radar Approach Control (TRACON) Facility or as an element of a system integrated with automation tools in the Air Route Traffic Control Center (ARTCC). FAST was evaluated by experienced TRACON controllers in a real-time air traffic control simulation. Simulation results show that FAST significantly reduced controller workload and demonstrated a potential for an increase in landing rate
Concerns with AED conversion: comparison of patient and physician perspectives.
When discussing AED conversion in the clinic, both the patient and physician perspectives on the goals and risks of this change are important to consider. To identify patient-reported and clinician-perceived concerns, a panel of epilepsy specialists was questioned about the topics discussed with patients and the clinician's perspective of patient concerns. Findings of a literature review of articles that report patient-expressed concerns regarding their epilepsy and treatment were also reviewed. Results showed that the specialist panel appropriately identified patient-reported concerns of driving ability, medication cost, seizure control, and medication side effects. Additionally, patient-reported concerns of independence, employment issues, social stigma, medication dependence, and undesirable cognitive effects are important to address when considering and initiating AED conversion
Space physics analysis network node directory (The Yellow Pages): Fourth edition
The Space Physics Analysis Network (SPAN) is a component of the global DECnet Internet, which has over 17,000 host computers. The growth of SPAN from its implementation in 1981 to its present size of well over 2,500 registered SPAN host computers, has created a need for users to acquire timely information about the network through a central source. The SPAN Network Information Center (SPAN-NIC) an online facility managed by the National Space Science Data Center (NSSDC) was developed to meet this need for SPAN-wide information. The remote node descriptive information in this document is not currently contained in the SPAN-NIC database, but will be incorporated in the near future. Access to this information is also available to non-DECnet users over a variety of networks such as Telenet, the NASA Packet Switched System (NPSS), and the TCP/IP Internet. This publication serves as the Yellow Pages for SPAN node information. The document also provides key information concerning other computer networks connected to SPAN, nodes associated with each SPAN routing center, science discipline nodes, contacts for primary SPAN nodes, and SPAN reference information. A section on DECnet Internetworking discusses SPAN connections with other wide-area DECnet networks (many with thousands of nodes each). Another section lists node names and their disciplines, countries, and institutions in the SPAN Network Information Center Online Data Base System. All remote sites connected to US-SPAN and European-SPAN (E-SPAN) are indexed. Also provided is information on the SPAN tail circuits, i.e., those remote nodes connected directly to a SPAN routing center, which is the local point of contact for resolving SPAN-related problems. Reference material is included for those who wish to know more about SPAN. Because of the rapid growth of SPAN, the SPAN Yellow Pages is reissued periodically
Protocol for a systematic review of the use of qualitative comparative analysis for evaluative questions in public health research
Background: There is an increasing recognition that health intervention research requires methods and
approaches that can engage with the complexity of systems, interventions, and the relations between systems and
interventions. One approach which shows promise to this end is qualitative comparative analysis (QCA), which
examines casual complexity across a medium to large number of cases (between 10 and 60+), whilst also being
able to generalise across those cases. Increasingly, QCA is being adopted in public health intervention research.
However, there is a limited understanding of how it is being adopted. This systematic review will address this gap,
examining how it is being used to understand complex causation; for what settings, populations and interventions;
and with which datasets to describe cases.
Methods: We will include published and peer-reviewed studies of any public health intervention where the effects
on population health, health equity, or intervention uptake are being evaluated. Electronic searches of PubMed,
Scopus, Web of Science (incorporating Social Sciences Citation Index and Arts & Humanities Citation Index),
Microsoft Academic, and Google Scholar will be performed. This will be supplemented with reference citation
tracking and personal contact with experts to identify any additional published studies. Search results will be single
screened, with machine learning used to check these results, acting as a ‘second screener’. Any disagreement will
be resolved through discussion. Data will be extracted from full texts of eligible studies, which will be assessed
against inclusion criteria, and synthesised narratively, using thematic synthesis methods.
Discussion: This systematic review will provide an important map of the increasing use of QCA in public health
intervention literature. This review will identify the current scope of research in this area, as well as assessing claims
about the utility of the method for addressing complex causation in public health research. We will identify
implications for better reporting of QCA methods in public health research and for reporting of case studies such
that they can be used in future QCA studies.
Systematic review registration: PROSPERO, CRD4201913191
SPAN: Ocean science
The Space Physics Analysis Network (SPAN) is a multi-mission, correlative data comparison network which links space and Earth science research and data analysis computers. It provides a common working environment for sharing computer resources, sharing computer peripherals, solving proprietary problems, and providing the potential for significant time and cost savings for correlative data analysis. This is one of a series of discipline-specific SPAN documents which are intended to complement the SPAN primer and SPAN Management documents. Their purpose is to provide the discipline scientists with a comprehensive set of documents to assist in the use of SPAN for discipline specific scientific research
Synthetic approaches to the C11-C27 fragments of bryostatins
Modified Julia reactions and reactions of lithated dithianes have been used to prepare intermediates for a synthesis of bryostatins.</p
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