Science.gov

Sample records for generation information monitoring

  1. Next Generation Air Monitoring

    EPA Science Inventory

    Abstract. Air pollution measurement technology is advancing rapidly towards smaller-scale and wireless devices, with a potential to significantly change the landscape of air pollution monitoring. The U.S. EPA Office of Research and Development is evaluating and developing a rang...

  2. Next-generation air monitoring

    EPA Science Inventory

    Air pollution measurement technology is advancing rapidly towards smaller-scale and wireless devices, with a potential to significantly change the landscape of air pollution monitoring. EPA is evaluating and developing a range of next-generation air monitoring (NGAM) technologie...

  3. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

    NASA Astrophysics Data System (ADS)

    Aasen, Helge; Burkart, Andreas; Bolten, Andreas; Bareth, Georg

    2015-10-01

    This paper describes a novel method to derive 3D hyperspectral information from lightweight snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot cameras record an image cube with one spectral and two spatial dimensions with every exposure. First, we describe and apply methods to radiometrically characterize and calibrate these cameras. Then, we introduce our processing chain to derive 3D hyperspectral information from the calibrated image cubes based on structure from motion. The approach includes a novel way for quality assurance of the data which is used to assess the quality of the hyperspectral data for every single pixel in the final data product. The result is a hyperspectral digital surface model as a representation of the surface in 3D space linked with the hyperspectral information emitted and reflected by the objects covered by the surface. In this study we use the hyperspectral camera Cubert UHD 185-Firefly, which collects 125 bands from 450 to 950 nm. The obtained data product has a spatial resolution of approximately 1 cm for the spatial and 21 cm for the hyperspectral information. The radiometric calibration yields good results with less than 1% offset in reflectance compared to an ASD FieldSpec 3 for most of the spectral range. The quality assurance information shows that the radiometric precision is better than 0.13% for the derived data product. We apply the approach to data from a flight campaign in a barley experiment with different varieties during the growth stage heading (BBCH 52 - 59) to demonstrate the feasibility for vegetation monitoring in the context of precision agriculture. The plant parameters retrieved from the data product correspond to in-field measurements of a single date field campaign for plant height (R2 = 0.7), chlorophyll (BGI2, R2 = 0.52), LAI (RDVI, R2 = 0.32) and biomass (RDVI, R2 = 0.29). Our approach can also be applied for other image-frame cameras as long as the individual bands of the

  4. Next generation information systems

    SciTech Connect

    Limback, Nathan P; Medina, Melanie A; Silva, Michelle E

    2010-01-01

    The Information Systems Analysis and Development (ISAD) Team of the Safeguards Systems Group at Los Alamos National Laboratory (LANL) has been developing web based information and knowledge management systems for sixteen years. Our vision is to rapidly and cost effectively provide knowledge management solutions in the form of interactive information systems that help customers organize, archive, post and retrieve nonproliferation and safeguards knowledge and information vital to their success. The team has developed several comprehensive information systems that assist users in the betterment and growth of their organizations and programs. Through our information systems, users are able to streamline operations, increase productivity, and share and access information from diverse geographic locations. The ISAD team is also producing interactive visual models. Interactive visual models provide many benefits to customers beyond the scope of traditional full-scale modeling. We have the ability to simulate a vision that a customer may propose, without the time constraints of traditional engineering modeling tools. Our interactive visual models can be used to access specialized training areas, controlled areas, and highly radioactive areas, as well as review site-specific training for complex facilities, and asset management. Like the information systems that the ISAD team develops, these models can be shared and accessed from any location with access to the internet. The purpose of this paper is to elaborate on the capabilities of information systems and interactive visual models as well as consider the possibility of combining the two capabilities to provide the next generation of infonnation systems. The collection, processing, and integration of data in new ways can contribute to the security of the nation by providing indicators and information for timely action to decrease the traditional and new nuclear threats. Modeling and simulation tied to comprehensive

  5. Groundwater Monitoring Report Generation Tools - 12005

    SciTech Connect

    Lopez, Natalie

    2012-07-01

    Compliance with National and State environmental regulations (e.g. Resource Conservation and Recovery Act (RCRA) and Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) aka SuperFund) requires Savannah River Site (SRS) to extensively collect and report groundwater monitoring data, with potential fines for missed reporting deadlines. Several utilities have been developed at SRS to facilitate production of the regulatory reports which include maps, data tables, charts and statistics. Components of each report are generated in accordance with complex sets of regulatory requirements specific to each site monitored. SRS developed a relational database to incorporate the detailed reporting rules with the groundwater data, and created a set of automation tools to interface with the information and generate the report components. These process improvements enhanced quality and consistency by centralizing the information, and have reduced manpower and production time through automated efficiencies. (author)

  6. GROUNDWATER MONITORING REPORT GENERATION TOOLS - 12005

    SciTech Connect

    Lopez, N.

    2011-11-21

    Compliance with National and State environmental regulations (e.g. Resource Conservation and Recovery Act (RCRA) and Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) aka SuperFund) requires Savannah River Site (SRS) to extensively collect and report groundwater monitoring data, with potential fines for missed reporting deadlines. Several utilities have been developed at SRS to facilitate production of the regulatory reports which include maps, data tables, charts and statistics. Components of each report are generated in accordance with complex sets of regulatory requirements specific to each site monitored. SRS developed a relational database to incorporate the detailed reporting rules with the groundwater data, and created a set of automation tools to interface with the information and generate the report components. These process improvements enhanced quality and consistency by centralizing the information, and have reduced manpower and production time through automated efficiencies.

  7. Monitoring informs management

    SciTech Connect

    West, Tristram O.

    2011-10-24

    Improved regional monitoring and reporting of greenhouse-gas emissions depends on accurate estimates of emissions from different land-use regimes. An analysis suggests that measuring emissions per crop yield may be an optimum metric for refining land-management decisions.

  8. Owl: Next Generation System Monitoring

    SciTech Connect

    Schulz, M; White, B S; McKee, S A; Lee, H S; Jeitner, J

    2005-02-16

    As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event traces or coordinating results from multiple, non-localized sources. Owl is a proposed framework that overcomes limitations faced by traditional performance counters and monitoring facilities in dealing with such complexity by pervasively deploying programmable monitoring elements throughout a system. The design exploits reconfigurable or programmable logic to realize hardware monitors located at event sources, such as memory buses. These monitors run and writeback results autonomously with respect to the CPU, mitigating the system impact of interrupt-driven monitoring or the need to communicate irrelevant events to higher levels of the system. The monitors are designed to snoop any kind of system transaction, e.g., within the core, on a bus, across the wire, or within I/O devices.

  9. Monitoring and visualizing information resources

    SciTech Connect

    McCrickard, D.S.; Rowan, T.H.

    1996-07-01

    The continuous increase in information necessitates monitoring and display techniques that maximize comprehension yet minimize effort. In this paper, we discuss the use of hypertools, confluent zoom and graphical encoding of text as solutions to this problem, and we introduce Irwin and information resource and display tool.

  10. Surfactant monitoring by foam generation

    DOEpatents

    Mullen, Ken I.

    1997-01-01

    A device for monitoring the presence or absence of active surfactant or other surface active agents in a solution or flowing stream based on the formation of foam or bubbles is presented. The device detects the formation of foam with a light beam or conductivity measurement. The height or density of the foam can be correlated to the concentration of the active surfactant present.

  11. Condition Monitoring of the SSE Generation Fleet

    NASA Astrophysics Data System (ADS)

    Twiddle, J.; Muthuraman, S.; Connolly, N.

    2012-05-01

    SSE (previously known as Scottish and Southern Energy) operates a diverse portfolio of generation plant, including coal, gas and renewable plant with a total generation capacity of 11,375MW (Sept 2011). In recent years a group of specialists dedicated to providing condition monitoring services has been established at the Equipment Performance Centre (EPC) based at Knottingley, West Yorkshire. We aim to illustrate the role of the EPC and the methods used for monitoring the generation fleet with the objective of maintaining asset integrity, reducing risk of plant failure and unplanned outages and describe the challenges which have been overcome in establishing the EPC. This paper describes methods including vibration and process data analysis, model-based techniques and on-site testing used for monitoring of generation plant, including gas turbines, steam turbines, generators and steam raising plant. These condition monitoring processes utilise available data, adding value to the business, by bringing services in-house and capturing knowledge of plant operation for the benefit of the whole fleet.

  12. Condition monitoring system of wind turbine generators

    NASA Astrophysics Data System (ADS)

    Abdusamad, Khaled B.

    The development and implementation of the condition monitoring systems (CMS) play a significant role in overcoming the number of failures in the wind turbine generators that result from the harsh operation conditions, such as over temperature, particularly when turbines are deployed offshore. In order to increase the reliability of the wind energy industry, monitoring the operation conditions of wind generators is essential to detect the immediate faults rapidly and perform appropriate preventative maintenance. CMS helps to avoid failures, decrease the potential shutdowns while running, reduce the maintenance and operation costs and maintain wind turbines protected. The knowledge of wind turbine generators' faults, such as stator and rotor inter-turn faults, is indispensable to perform the condition monitoring accurately, and assist with maintenance decision making. Many techniques are utilized to avoid the occurrence of failures in wind turbine generators. The majority of the previous techniques that are applied to monitor the wind generator conditions are based on electrical and mechanical concepts and theories. An advanced CMS can be implemented by using a variety of different techniques and methods to confirm the validity of the obtained electrical and mechanical condition monitoring algorithms. This thesis is focused on applying CMS on wind generators due to high temperature by contributing the statistical, thermal, mathematical, and reliability analyses, and mechanical concepts with the electrical methodology, instead of analyzing the electrical signal and frequencies trends only. The newly developed algorithms can be compared with previous condition monitoring methods, which use the electrical approach in order to establish their advantages and limitations. For example, the hazard reliability techniques of wind generators based on CMS are applied to develop a proper maintenance strategy, which aims to extend the system life-time and reduce the potential

  13. Development of living body information monitoring system

    NASA Astrophysics Data System (ADS)

    Sakamoto, Hidetoshi; Ohbuchi, Yoshifumi; Torigoe, Ippei; Miyagawa, Hidekazu; Murayama, Nobuki; Hayashida, Yuki; Igasaki, Tomohiko

    2009-12-01

    The easy monitoring systems of contact and non-contact living body information for preventing the the Sudden Infant Death Syndrome (SIDS) were proposed as an alternative monitoring system of the infant's vital information. As for the contact monitoring system, respiration sensor, ECG electrodes, thermistor and IC signal processor were integrated into babies' nappy holder. This contact-monitoring unit has RF transmission function and the obtained data are analyzed in real time by PC. In non-contact mortaring system, the infrared thermo camera was used. The surrounding of the infant's mouth and nose is monitored and the respiration rate is obtained by thermal image processing of its temperature change image of expired air. This proposed system of in-sleep infant's vital information monitoring system and unit are very effective as not only infant's condition monitoring but also nursing person's one.

  14. Development of living body information monitoring system

    NASA Astrophysics Data System (ADS)

    Sakamoto, Hidetoshi; Ohbuchi, Yoshifumi; Torigoe, Ippei; Miyagawa, Hidekazu; Murayama, Nobuki; Hayashida, Yuki; Igasaki, Tomohiko

    2010-03-01

    The easy monitoring systems of contact and non-contact living body information for preventing the the Sudden Infant Death Syndrome (SIDS) were proposed as an alternative monitoring system of the infant's vital information. As for the contact monitoring system, respiration sensor, ECG electrodes, thermistor and IC signal processor were integrated into babies' nappy holder. This contact-monitoring unit has RF transmission function and the obtained data are analyzed in real time by PC. In non-contact mortaring system, the infrared thermo camera was used. The surrounding of the infant's mouth and nose is monitored and the respiration rate is obtained by thermal image processing of its temperature change image of expired air. This proposed system of in-sleep infant's vital information monitoring system and unit are very effective as not only infant's condition monitoring but also nursing person's one.

  15. ESA Next Generation Radiation Monitor- NGRM

    NASA Astrophysics Data System (ADS)

    Desorgher, Laurent

    Precise monitoring of the highly dynamic space radiation environment around Earth is crucial for spacecraft safety, as support of radiation belt models, solar particle flux models, and space radiation effects tools. The ESA sponsored SREM is measuring the Earth's radiation belts, solar particle flux, and cosmic ray background more than one decade onboard six different spacecrafts. Recently the development of the follower of SREM, the Next Generation Radiation Monitor (NGRM), has been started within an european consortium led by RUAG space, together with Paul Scherrer Institute (PSI), ONERA, EREMS, and IDEAS. NGRM will measure protons from 2 MeV up to 200 MeV, electrons from 100 keV up to 7MeV, as well as LET spectrum of ions. Compared to SREM, NGRM will provide a much better energy resolution, will be smaller (<1L), lighter (<1kg) and consume less energy (<1W). In this paper we describe the design of the instrument, and present calibration tests and Monte Carlo analysis of the instrument.

  16. RSA Monitoring Redesign Initiative Informational Booklet #1

    ERIC Educational Resources Information Center

    US Department of Education, 2005

    2005-01-01

    This informational booklet contains background materials regarding the Rehabilitation Services Administration (RSA) initiative to redesign its monitoring system. The booklet is intended to expand the knowledge and understanding of those individuals selected to participate in the RSA-sponsored monitoring conference that was held August 24 and 25,…

  17. Spatial and temporal information fusion for crop condition monitoring

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Crop growth condition information is critical for crop management and yield estimation. In order to monitor crop conditions from space, high spatial and temporal resolution remote sensing data are required. Data fusion approach provides a way to generate such data set from multiple remote sensing da...

  18. Engineering Task Plan for Fourth Generation Hanford Corrosion Monitoring System

    SciTech Connect

    NORMAN, E.C.

    2000-06-20

    This Engineering Task Plan (ETP) describes the activities associated with the installation of cabinets containing corrosion monitoring equipment on tanks 241-AN-102 and 241-AN-107. The new cabinets (one per tank) will be installed adjacent to existing corrosion probes already installed in riser WST-RISER-016 on both tanks. The corrosion monitoring equipment to be installed utilizes the technique of electrochemical noise (EN) for monitoring waste tank corrosion. Typically, EN consists of low frequency (4 Hz) and small amplitude signals that are spontaneously generated by electrochemical reactions occurring at corroding or other surfaces. EN analysis is well suited for monitoring and identifying the onset of localized corrosion, and for measuring uniform corrosion rates. A typical EN based corrosion-monitoring system measures instantaneous fluctuations in corrosion current and potential between three nominally identical electrodes of the material of interest immersed in the environment of interest. Time-dependent fluctuations in corrosion current are described by electrochemical current noise, and time-dependent fluctuations of corrosion potential are described by electrochemical noise. The corrosion monitoring systems are designed to detect the onset of localized corrosion phenomena if tank conditions should change to allow these phenomena to occur. In addition to the EN technique, the systems also facilitate the use of the Linear Polarization Resistance (LPR) technique to collect uniform corrosion rate information. LPR measures the linearity at the origin of the polarization curve for overvoltages up to a few millivolts away from the rest potential or natural corrosion potential. The slope of the current vs. voltage plot gives information on uniform corrosion rates.

  19. Understanding user needs for carbon monitoring information

    NASA Astrophysics Data System (ADS)

    Duren, R. M.; Macauley, M.; Gurney, K. R.; Saatchi, S. S.; Woodall, C. W.; Larsen, K.; Reidmiller, D.; Hockstad, L.; Weitz, M.; Croes, B.; Down, A.; West, T.; Mercury, M.

    2015-12-01

    The objectives of the Understanding User Needs project for NASA's Carbon Monitoring System (CMS) program are to: 1) engage the user community and identify needs for policy-relevant carbon monitoring information, 2) evaluate current and planned CMS data products with regard to their value for decision making, and 3) explore alternative methods for visualizing and communicating carbon monitoring information and associated uncertainties to decision makers and other stakeholders. To meet these objectives and help establish a sustained link between science and decision-making we have established a multi-disciplinary team that combines expertise in carbon-cycle science, engineering, economics, and carbon management and policy. We will present preliminary findings regarding emerging themes and needs for carbon information that may warrant increased attention by the science community. We will also demonstrate a new web-based tool that offers a common framework for facilitating user evaluation of carbon data products from multiple CMS projects.

  20. PROCESS MONITORING FOR SAFEGUARDS VIA EVENT GENERATION, INTEGRATION, AND INTERPRETATION

    SciTech Connect

    Humberto E. Garcia; Wen-Chiao Lin; Tae-Sic Yoo

    2010-07-01

    There is a recognized safeguards benefit from using process monitoring (PM) on nuclear facilities to complement nuclear materials accountancy. We introduce a model-based approach for PM in which the assessment regarding the state of the monitored system is conducted at a system-centric level. The proposed architecture integrates both time-driven and event-driven data integration and analysis for decision-making. While the time-driven layers of the proposed architecture encompass more traditional PM methods based on time series data and analysis, the event-driven layers encompass operation monitoring methods based on discrete event data integration and analysis. By integrating process- and operation-related information and methodologies within an unified modeling and monitoring framework that includes not only current but also past plant behaviors, the task of anomaly detection is greatly improved because this decision-making approach can benefit from not only known time-series relationships among measured signals but also from known event sequence relationships among generated events. Building from the proposed system-centric PM architecture, we briefly introduce methods that can be used to implement its different components. The application of the proposed approach is then demonstrated via simulation experiments.

  1. Next generation of global land cover characterization, mapping, and monitoring

    NASA Astrophysics Data System (ADS)

    Giri, C.; Pengra, B.; Long, J.; Loveland, T. R.

    2013-12-01

    Land cover change is increasingly affecting the biophysics, biogeochemistry, and biogeography of the Earth's surface and the atmosphere, with far-reaching consequences to human well-being. However, our scientific understanding of the distribution and dynamics of land cover and land cover change (LCLCC) is limited. Previous global land cover assessments performed using coarse spatial resolution (300 m-1 km) satellite data did not provide enough thematic detail or change information for global change studies and for resource management. High resolution (˜30 m) land cover characterization and monitoring is needed that permits detection of land change at the scale of most human activity and offers the increased flexibility of environmental model parameterization needed for global change studies. However, there are a number of challenges to overcome before producing such data sets including unavailability of consistent global coverage of satellite data, sheer volume of data, unavailability of timely and accurate training and validation data, difficulties in preparing image mosaics, and high performance computing requirements. Integration of remote sensing and information technology is needed for process automation and high-performance computing needs. Recent developments in these areas have created an opportunity for operational high resolution land cover mapping, and monitoring of the world. Here, we report and discuss these advancements and opportunities in producing the next generations of global land cover characterization, mapping, and monitoring at 30-m spatial resolution primarily in the context of United States, Group on Earth Observations Global 30 m land cover initiative (UGLC).

  2. An Intelligent CAI Monitor and Generative Tutor. Interim Report.

    ERIC Educational Resources Information Center

    Koffman, Elliot B.; And Others

    Design techniques for generative computer-assisted-instructional (CAI) systems are described in this report. These are systems capable of generating problems for students and of deriving and monitoring solutions; problem difficulty, instructional pace, and depth of monitoring are all individually tailored and parts of the solution algorithms can…

  3. Information security implementations for remote monitoring

    SciTech Connect

    Nilsen, C.A.

    1997-10-01

    In September 1993, President Clinton stated the United States would ensure that its fissile material meet the {open_quotes}highest standards of safety, security, and international accountability.{close_quotes} Frequent human inspection of the material could be used to ensure these standards. However, it may be more effective and less expensive to replace these manual inspections with virtual inspections via remote monitoring technologies. A successful implementation of a comprehensive remote monitoring system, however, requires significant attention to a variety of information security issues. In pursuing Project Straight-Line and the follow-on Storage Monitoring System, Sandia National Laboratories developed remote monitoring implementations that can satisfy a variety of information security requirements. Special emphasis was given to developing methods for using the Internet to disseminate the data securely. This paper describes the various information security implementations applied to the Project Straight-Line and the Storage Monitoring System. Also included is a discussion of the security provided by the Windows NT operating system.

  4. Integrated condition monitoring of space information network

    NASA Astrophysics Data System (ADS)

    Wang, Zhilin; Li, Xinming; Li, Yachen; Yu, Shaolin

    2015-11-01

    In order to solve the integrated condition monitoring problem in space information network, there are three works finished including analyzing the characteristics of tasks process and system health monitoring, adopting the automata modeling method, and respectively establishing the models for state inference and state determination. The state inference model is a logic automaton and is gotten by concluding engineering experiences. The state determination model is a double-layer automaton, the lower automaton is responsible for parameter judge and the upper automaton is responsible for state diagnosis. At last, the system state monitoring algorithm has been proposed, which realizes the integrated condition monitoring for task process and system health, and can avoid the false alarm.

  5. Scenario Generation Using Differential Scenario Information

    NASA Astrophysics Data System (ADS)

    Makino, Masayuki; Ohnishi, Atsushi

    A method of generating scenarios using differential scenaro information is presented. Behaviors of normal scenarios of similar purpose are quite similar each other, while actors and data in scenarios are different among these scenarios. We derive the differential information between them and apply the differential information to generate new alternative/exceptional scenarios. Our method will be illustrated with examples. This paper describes (1) a language for describing scenarios based on a simple case grammar of actions, (2) introduction of the differential scenario, and (3) method and examples of scenario generation using the differential scenario.

  6. Summary Report on Beam and Radiation Generation, Monitoring and Control

    SciTech Connect

    Gordon, D. F.; Power, J. G.

    2009-01-22

    The discussions of the working group on beam and radiation generation, monitoring, and control (working group 6) at the 2008 advanced accelerator concepts workshop are summarized. The discussions concerned electron injectors, phase space manipulation, beam diagnostics, pulse train generation, intense beam physics, and radiation generation.

  7. Next Generation Air Monitoring (NGAM) VOC Sensor Evaluation Report

    EPA Science Inventory

    This report summarizes the results of next generation air monitor (NGAM) volatile organic compound (VOC) evaluations performed using both laboratory as well as field scale settings. These evaluations focused on challenging lower cost (<$2500) NGAM technologies to either controlle...

  8. Information-based monitoring of clinical trials.

    PubMed

    Tsiatis, Anastasios A

    2006-10-15

    When designing a clinical trial to compare the effect of different treatments on response, a key issue facing the statistician is to determine how large a study is necessary to detect a clinically important difference with sufficient power. This is the case whether the study will be analysed only once (single-analysis) or whether it will be monitored periodically with the possibility of early stopping (group-sequential). Standard sample size calculations are based on both the magnitude of difference that is considered clinically important as well as values for the nuisance parameters in the statistical model. For planning purposes, best guesses are made for the value of the nuisance parameters and these are used to determine the sample size. However, if these guesses are incorrect this will affect the subsequent power to detect the clinically important difference. It is argued in this paper that statistical precision is directly related to Statistical Information and that the study should continue until the requisite statistical information is obtained. This is referred to as information-based design and analysis of clinical trials. We also argue that this type of methodology is best suited with group-sequential trials which monitor the data periodically and allow for estimation of the statistical information as the study progresses. PMID:16927248

  9. Next generation nano-contamination monitoring

    NASA Astrophysics Data System (ADS)

    Kochevar, Steven; Pietrykowski, Thomas; Rodier, Dan

    2012-10-01

    Current particle counting techniques employ common technologies: lasers, detectors, and optics. The theory of light scattering and particles is well known, and is standard in most particle counters. However, the need to detect smaller particles (nanoparticles) challenges the technological limits of traditional light-scattering techniques. Counting nanoparticles in liquids offers unique problems because of the intensity of scattered light from the particles relative to the light scattered by the fluid and flow cell. Consequently, the particle may be lost in the background noise. New technologies employ sophisticated detection elements and high-powered lasers to provide three-dimensional particle signatures and real-time videos as the particle passes through the laser. Aerosol nanoparticle counting offers the challenge of light scatter in an open sample chamber. Simply, the nanoparticles are too small to be effectively illuminated by lasers, so a new technique employs dynamic mobility to classify specific particle sizes. This technique can provide particle counting - and accurate particle size classification - down to 5 nm. Employing traditional optical particle counting technology is not efficient for detecting nanoparticles, but new technologies can meet these challenges. When combined with other support equipment (e.g. WiFi, software, etc.), new technologies provide innovative techniques for monitoring nanoparticles and managing nano-contamination in clean environments.

  10. Radiation Exposure Monitoring and Information Transmittal System.

    2005-06-23

    Version 01 The Radiation Exposure Monitoring and Information Transmittal (REMIT) system is designed to assist U.S. Nuclear Regulatory Commission (NRC) licensees in meeting the reporting requirements of the Revised 10 CFR Parts 20.1001 through 20.2401 as outlined in Regulatory Guide 8.7, Rev.1, Instructions for Recording and Reporting Occupational Exposure Data. REMIT is a PC‑based menu driven system that facilitates the manipulation of data base files to record and report radiation exposure information. REMIT is designedmore » to be user‑friendly and contains the full text of Regulatory Guide 8.7, Rev.1, on‑line as well as context‑sensitive help throughout the program. The user can enter data directly from NRC Forms 4 or 5. REMIT allows the user to view the individual's exposure in relation to regulatory or administrative limits and will alert the user to exposures in excess of these limits. The system also provides for the calculation and summation of dose from intakes and the determination of the dose to the maximally exposed extremity for the monitoring year. REMIT can produce NRC Forms 4 and 5 in paper and electronic format and can import/export data from ASCII and data base files. Additional information is available from the web page www.reirs.com.« less

  11. Teaching Information Literacy to Generation Y.

    ERIC Educational Resources Information Center

    Manuel, Kate

    2002-01-01

    Discusses how to change library information literacy classes for Generation Y students (born after 1981) to accommodate their learning styles and preferences, based on experiences at California State University, Hayward. Topics include positive outlooks toward technology; orientation toward images, not linear text; low thresholds for boredom and…

  12. The 2nd Generation Real Time Mission Monitor (RTMM) Development

    NASA Technical Reports Server (NTRS)

    Blakeslee, Richard; Goodman, Michael; Meyer, Paul; Hardin, Danny; Hall, John; He, Yubin; Regner, Kathryn; Conover, Helen; Smith, Tammy; Lu, Jessica; Garrett, Michelle

    2009-01-01

    The NASA Real Time Mission Monitor (RTMM) is a visualization and information system that fuses multiple Earth science data sources, to enable real time decisionmaking for airborne and ground validation experiments. Developed at the National Aeronautics and Space Administration (NASA) Marshall Space Flight Center, RTMM is a situational awareness, decision-support system that integrates satellite imagery and orbit data, radar and other surface observations (e.g., lightning location network data), airborne navigation and instrument data sets, model output parameters, and other applicable Earth science data sets. The integration and delivery of this information is made possible using data acquisition systems, network communication links, network server resources, and visualizations through the Google Earth virtual globe application. In order to improve the usefulness and efficiency of the RTMM system, capabilities are being developed to allow the end-user to easily configure RTMM applications based on their mission-specific requirements and objectives. This second generation RTMM is being redesigned to take advantage of the Google plug-in capabilities to run multiple applications in a web browser rather than the original single application Google Earth approach. Currently RTMM employs a limited Service Oriented Architecture approach to enable discovery of mission specific resources. We are expanding the RTMM architecture such that it will more effectively utilize the Open Geospatial Consortium Sensor Web Enablement services and other new technology software tools and components. These modifications and extensions will result in a robust, versatile RTMM system that will greatly increase flexibility of the user to choose which science data sets and support applications to view and/or use. The improvements brought about by RTMM 2nd generation system will provide mission planners and airborne scientists with enhanced decision-making tools and capabilities to more

  13. Information processing for aerospace structural health monitoring

    NASA Astrophysics Data System (ADS)

    Lichtenwalner, Peter F.; White, Edward V.; Baumann, Erwin W.

    1998-06-01

    Structural health monitoring (SHM) technology provides a means to significantly reduce life cycle of aerospace vehicles by eliminating unnecessary inspections, minimizing inspection complexity, and providing accurate diagnostics and prognostics to support vehicle life extension. In order to accomplish this, a comprehensive SHM system will need to acquire data from a wide variety of diverse sensors including strain gages, accelerometers, acoustic emission sensors, crack growth gages, corrosion sensors, and piezoelectric transducers. Significant amounts of computer processing will then be required to convert this raw sensor data into meaningful information which indicates both the diagnostics of the current structural integrity as well as the prognostics necessary for planning and managing the future health of the structure in a cost effective manner. This paper provides a description of the key types of information processing technologies required in an effective SHM system. These include artificial intelligence techniques such as neural networks, expert systems, and fuzzy logic for nonlinear modeling, pattern recognition, and complex decision making; signal processing techniques such as Fourier and wavelet transforms for spectral analysis and feature extraction; statistical algorithms for optimal detection, estimation, prediction, and fusion; and a wide variety of other algorithms for data analysis and visualization. The intent of this paper is to provide an overview of the role of information processing for SHM, discuss various technologies which can contribute to accomplishing this role, and present some example applications of information processing for SHM implemented at the Boeing Company.

  14. Systems engineering approach towards performance monitoring of emergency diesel generator

    SciTech Connect

    Ramli, Nurhayati Yong-kwan, Lee

    2014-02-12

    Systems engineering is an interdisciplinary approach and means to enable the realization of successful systems. In this study, systems engineering approach towards the performance monitoring of Emergency Diesel Generator (EDG) is presented. Performance monitoring is part and parcel of predictive maintenance where the systems and components conditions can be detected before they result into failures. In an effort to identify the proposal for addressing performance monitoring, the EDG boundary has been defined. Based on the Probabilistic Safety Analysis (PSA) results and industry operating experiences, the most critical component is identified. This paper proposed a systems engineering concept development framework towards EDG performance monitoring. The expected output of this study is that the EDG reliability can be improved by the performance monitoring alternatives through the systems engineering concept development effort.

  15. Automatic Building Information Model Query Generation

    SciTech Connect

    Jiang, Yufei; Yu, Nan; Ming, Jiang; Lee, Sanghoon; DeGraw, Jason; Yen, John; Messner, John I.; Wu, Dinghao

    2015-12-01

    Energy efficient building design and construction calls for extensive collaboration between different subfields of the Architecture, Engineering and Construction (AEC) community. Performing building design and construction engineering raises challenges on data integration and software interoperability. Using Building Information Modeling (BIM) data hub to host and integrate building models is a promising solution to address those challenges, which can ease building design information management. However, the partial model query mechanism of current BIM data hub collaboration model has several limitations, which prevents designers and engineers to take advantage of BIM. To address this problem, we propose a general and effective approach to generate query code based on a Model View Definition (MVD). This approach is demonstrated through a software prototype called QueryGenerator. By demonstrating a case study using multi-zone air flow analysis, we show how our approach and tool can help domain experts to use BIM to drive building design with less labour and lower overhead cost.

  16. Feasibility demonstration of a second-generation electronic monitoring system

    NASA Astrophysics Data System (ADS)

    Murphy, John H.

    1997-02-01

    First generation electronic monitoring systems are being used by the criminal justice system to effect behavioral modifications of persons in pre-trial release programs, on parole, and on probation. Current systems are merely radio frequency proximity detection systems that operate over limited ranges, on the order of 45 to 70 meters. One major defect with proximity detection systems is that when the offenders leave the area being monitored, there is no way to ensure that the offenders travel where they should. As a result, the first generation electronic monitoring systems are only applied to a restricted number of low risk cases. There is a growing need for a second generation electronic monitoring system which utilizes community-wide tracking and location technologies to increase the public safety and to expand the number of offenders monitored by these systems. Even though GPS (Global Positioning System) is rapidly becoming the technology of choice for vehicle tracking and location, GPS is not an ideal candidate for the second generation electronic monitoring system. Urban environments prevent GPS systems from providing continuous and accurate location service due to satellite occlusion by obstacles such as: hills, mountains, vehicles, buildings, and trees. An inverse-GPS approach which overcomes these urban environment related limitations has been evaluated by Northrop Grumman as a means to track people. This paper presents the results of a National Institute of Justice funded program to demonstrate in downtown Pittsburgh the feasibility of spread spectrum based time-of-arrival location systems for intelligently tracking people on probation and parole.

  17. Integrated drought monitoring approach: bringing diverse information into comprehensive drought monitoring system

    NASA Astrophysics Data System (ADS)

    Ceglar, A.; Medved-Cvikl, B.; Kajfež-Bogataj, L.

    2011-12-01

    Understanding the complexity of drought is crucial to convey improved information on drought situation to decision-makers and general public. Addressing this need by sharing drought data is challenging because it requires a common agreed framework that allows easy and seamless integration of data from different sources. This is also a challenge for Drought management centre for South-Eastern Europe (DMCSEE). In one of the most vulnerable regions to drought, according to the IPCC projections, drought-related damages have already had large impact on the economy and welfare. Trans-national integrated approach is therefore necessary for successful tracking of drought, comparing its impacts using common methodology and assessing vulnerability of various sectors. First step in building transnational integrated approach is to combine very diverse monitoring systems from technical perspective in one comprehensive drought monitoring system. In this regard, the EuroGEOSS (European answer to GEOSS - Global Earth Observation System of Systems) portends major benefits through various sharing mechanisms and gives access to services that can be linked together to process and generate new understandable knowledge and information (figure 1). Drought monitoring systems on different spatial levels can greatly benefit from integrated approach, proposed by the EuroGEOSS project. Benefits of interoperability arrangements and integrated monitoring for DMCSEE and European Drought Observatory (EDO) are presented in the article. Established infrastructure enables the use of information on various spatial levels (continental, regional and national). Technical solution enables the inclusion of very diverse drought monitoring systems from south-eastern Europe into EDO. Integrated drought monitoring system improves information on all essential levels (timing, intensity, duration and spatial extent of a specific drought episode) in the framework of existing polices and politics. The common

  18. Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis

    NASA Astrophysics Data System (ADS)

    Monekosso, Dorothy; Remagnino, Paolo

    This paper describes a data generator that produces synthetic data to simulate observations from an array of environment monitoring sensors. The overall goal of our work is to monitor the well-being of one occupant in a home. Sensors are embedded in a smart home to unobtrusively record environmental parameters. Based on the sensor observations, behavior analysis and modeling are performed. However behavior analysis and modeling require large data sets to be collected over long periods of time to achieve the level of accuracy expected. A data generator - was developed based on initial data i.e. data collected over periods lasting weeks to facilitate concurrent data collection and development of algorithms. The data generator is based on statistical inference techniques. Variation is introduced into the data using perturbation models.

  19. The 2nd Generation Real Time Mission Monitor (RTMM) Development

    NASA Astrophysics Data System (ADS)

    Blakeslee, R. J.; Goodman, M.; Hardin, D. M.; Hall, J.; Yubin He, M.; Regner, K.; Conover, H.; Smith, T.; Meyer, P.; Lu, J.; Garrett, M.

    2009-12-01

    The NASA Real Time Mission Monitor (RTMM) is a visualization and information system that fuses multiple Earth science data sources, to enable real time decision-making for airborne and ground validation experiments. Developed at the National Aeronautics and Space Administration (NASA) Marshall Space Flight Center, RTMM is a situational awareness, decision-support system that integrates satellite imagery and orbit data, radar and other surface observations (e.g., lightning location network data), airborne navigation and instrument data sets, model output parameters, and other applicable Earth science data sets. The integration and delivery of this information is made possible using data acquisition systems, network communication links, network server resources, and visualizations through the Google Earth virtual globe application. In order to improve the usefulness and efficiency of the RTMM system, capabilities are being developed to allow the end-user to easily configure RTMM applications based on their mission-specific requirements and objectives. This second generation RTMM is being redesigned to take advantage of the Google plug-in capabilities to run multiple applications in a web browser rather than the original single application Google Earth approach. Currently RTMM employs a limited Service Oriented Architecture approach to enable discovery of mission specific resources. We are expanding the RTMM architecture such that it will more effectively utilize the Open Geospatial Consortium Sensor Web Enablement services and other new technology software tools and components. These modifications and extensions will result in a robust, versatile RTMM system that will greatly increase flexibility of the user to choose which science data sets and support applications to view and/or use. The improvements brought about by RTMM 2nd generation system will provide mission planners and airborne scientists with enhanced decision-making tools and capabilities to more

  20. Next generation patient monitor powered by in-silico physiology.

    PubMed

    Baronov, Dimitar; McManus, Michael; Butler, Evan; Chung, Douglas; Almodovar, Melvin C

    2015-01-01

    The goal of this paper is to introduce a next generation patient monitoring technology that relies on objective and continuous data analytics to alleviate the data overload in the critical care unit. The technology provides the foundation for increasing the consistency and efficacy of data use in clinical practice and improving outcomes. This paper presents results for applying the approach to the hemodynamic monitoring of infants immediately following cardiac surgery and demonstrates its efficacy of estimating the probability of inadequate systemic oxygen delivery, which is an essential risk attribute in the management of critically ill patients.

  1. Next Generation Patient Monitor Powered by In-Silico Physiology

    PubMed Central

    Baronov, Dimitar; McManus, Michael; Butler, Evan; Chung, Douglas; Almodovar, Melvin C.

    2015-01-01

    The goal of this paper is to introduce a next generation patient monitoring technology that relies on objective and continuous data analytics to alleviate the data overload in the critical care unit. The technology provides the foundation for increasing the consistency and efficacy of data use in clinical practice and improving outcomes. This paper presents results for applying the approach to the hemodynamic monitoring of infants immediately following cardiac surgery and demonstrates its efficacy of estimating the probability of inadequate systemic oxygen delivery, which is an essential risk attribute in the management of critically ill patients. PMID:26737282

  2. Optical monitoring of laser-generated plasma during laser welding

    NASA Astrophysics Data System (ADS)

    Connolly, John O.; Beirne, Gareth J.; O'Connor, Gerard M.; Glynn, Thomas J.; Conneely, Alan J.

    2000-03-01

    Process monitoring is a vital part of industrial laser applications that enables intelligent control of processes by observing acoustic, optical, thermal and other emissions. By monitoring these emission during laser processing, it is possible to ascertain characteristics that help diagnose features of the laser processed material and hence to optimize the technique. An experimental set up of observing plasmas during laser spot welding is described here. A pulsed Nd:YAG laser was used to spot-weld a variety of materials of different thickness, the plasmas generated during welding were monitored by a number of techniques, and the data obtained was used to characterize the welds. In the study photodiodes were set at different angles and observed the intensity and generation of the plasmas during the laser spot-welding process thereby giving a weld 'signature.' A portable spectrometer was used off-axis to obtain spectra of the emissions from the plasmas. Post process analysis was performed on the materials by mechanical polishing and chemical etching and observations of weld penetration depth and weld quality were correlated with the data collected on the plasmas. Different cover gases were also used during laser welding and the results of the effects of the various gases on the plasma are shown. The results indicate the relationship between laser weld generated plasma characteristics and weld features such as penetration depth. A direct correlation between the intensities of the photodiode and portable spectrometer signals was observed with weld penetration depth.

  3. Oxygen Mass Flow Rate Generated for Monitoring Hydrogen Peroxide Stability

    NASA Technical Reports Server (NTRS)

    Ross, H. Richard

    2002-01-01

    Recent interest in propellants with non-toxic reaction products has led to a resurgence of interest in hydrogen peroxide for various propellant applications. Because peroxide is sensitive to contaminants, material interactions, stability and storage issues, monitoring decomposition rates is important. Stennis Space Center (SSC) uses thermocouples to monitor bulk fluid temperature (heat evolution) to determine reaction rates. Unfortunately, large temperature rises are required to offset the heat lost into the surrounding fluid. Also, tank penetration to accomodate a thermocouple can entail modification of a tank or line and act as a source of contamination. The paper evaluates a method for monitoring oxygen evolution as a means to determine peroxide stability. Oxygen generation is not only directly related to peroxide decomposition, but occurs immediately. Measuring peroxide temperature to monitor peroxide stability has significant limitations. The bulk decomposition of 1% / week in a large volume tank can produce in excess of 30 cc / min. This oxygen flow rate corresponds to an equivalent temperature rise of approximately 14 millidegrees C, which is difficult to measure reliably. Thus, if heat transfer were included, there would be no temperature rise. Temperature changes from the surrounding environment and heat lost to the peroxide will also mask potential problems. The use of oxygen flow measurements provides an ultra sensitive technique for monitoring reaction events and will provide an earlier indication of an abnormal decomposition when compared to measuring temperature rise.

  4. Securing information using optically generated biometric keys

    NASA Astrophysics Data System (ADS)

    Verma, Gaurav; Sinha, Aloka

    2016-11-01

    In this paper, we present a new technique to obtain biometric keys by using the fingerprint of a person for an optical image encryption system. The key generation scheme uses the fingerprint biometric information in terms of the amplitude mask (AM) and the phase mask (PM) of the reconstructed fingerprint image that is implemented using the digital holographic technique. Statistical tests have been conducted to check the randomness of the fingerprint PM key that enables its usage as an image encryption key. To explore the utility of the generated biometric keys, an optical image encryption system has been further demonstrated based on the phase retrieval algorithm and the double random phase encoding scheme in which keys for the encryption are used as the AM and the PM key. The advantage associated with the proposed scheme is that the biometric keys’ retrieval requires the simultaneous presence of the fingerprint hologram and the correct knowledge of the reconstruction parameters at the decryption stage, which not only verifies the authenticity of the person but also protects the valuable fingerprint biometric features of the keys. Numerical results are carried out to prove the feasibility and the effectiveness of the proposed encryption system.

  5. Neutron monitor generated data distributions in quantum variational Monte Carlo

    NASA Astrophysics Data System (ADS)

    Kussainov, A. S.; Pya, N.

    2016-08-01

    We have assessed the potential applications of the neutron monitor hardware as random number generator for normal and uniform distributions. The data tables from the acquisition channels with no extreme changes in the signal level were chosen as the retrospective model. The stochastic component was extracted by fitting the raw data with splines and then subtracting the fit. Scaling the extracted data to zero mean and variance of one is sufficient to obtain a stable standard normal random variate. Distributions under consideration pass all available normality tests. Inverse transform sampling is suggested to use as a source of the uniform random numbers. Variational Monte Carlo method for quantum harmonic oscillator was used to test the quality of our random numbers. If the data delivery rate is of importance and the conventional one minute resolution neutron count is insufficient, we could always settle for an efficient seed generator to feed into the faster algorithmic random number generator or create a buffer.

  6. A route generator concept for aircraft onboard fault monitoring

    NASA Technical Reports Server (NTRS)

    Palmer, M. T.; Abbott, K. H.

    1984-01-01

    Because of the increasingly complex environments in which the flight crews of commercial aviation aircraft must operate, a research effort is currently underway at NASA Langley Research Center to investigate the potential benefits of intelligent cockpit aids, and to establish guidelines for the application of artificial intelligence techniques to advanced flight management concepts. The segment of this research area that concentrates on automated fault monitoring and diagnosis requires that a reference frame exist, against which the current state of the aircraft may be compared to determine the existence of a fault. This paper describes a computer program which generates the position of that reference frame that specifies the horizontal flight route.

  7. RSA Monitoring Redesign Initiative Informational Booklet #2

    ERIC Educational Resources Information Center

    US Department of Education, 2005

    2005-01-01

    The U.S. Department of Education's Rehabilitation Services Administration (RSA) is undertaking a major initiative to substantially redesign its program monitoring and improvement system. The overriding goal is to improve vocational rehabilitation (VR) services and employment outcomes for individuals with disabilities through the development of a…

  8. Monitoring microstructural evolution in irradiated steel with second harmonic generation

    NASA Astrophysics Data System (ADS)

    Matlack, Kathryn H.; Kim, Jin-Yeon; Wall, James J.; Qu, Jianmin; Jacobs, Laurence J.

    2015-03-01

    Material damage in structural components is driven by microstructural evolution that occurs at low length scales and begins early in component life. In metals, these microstructural features are known to cause measurable changes in the acoustic nonlinearity parameter. Physically, the interaction of a monochromatic ultrasonic wave with microstructural features such as dislocations, precipitates, and vacancies, generates a second harmonic wave that is proportional to the acoustic nonlinearity parameter. These nonlinear ultrasonic techniques thus have the capability to evaluate initial material damage, particularly before crack initiation and propagation occur. This paper discusses how the nonlinear ultrasonic technique of second harmonic generation can be used as a nondestructive evaluation tool to monitor microstructural changes in steel, focusing on characterizing neutron radiation embrittlement in nuclear reactor pressure vessel steels. Current experimental evidence and analytical models linking microstructural evolution with changes in the acoustic nonlinearity parameter are summarized.

  9. Monitoring microstructural evolution in irradiated steel with second harmonic generation

    SciTech Connect

    Matlack, Kathryn H.; Kim, Jin-Yeon; Jacobs, Laurence J.; Wall, James J.; Qu, Jianmin

    2015-03-31

    Material damage in structural components is driven by microstructural evolution that occurs at low length scales and begins early in component life. In metals, these microstructural features are known to cause measurable changes in the acoustic nonlinearity parameter. Physically, the interaction of a monochromatic ultrasonic wave with microstructural features such as dislocations, precipitates, and vacancies, generates a second harmonic wave that is proportional to the acoustic nonlinearity parameter. These nonlinear ultrasonic techniques thus have the capability to evaluate initial material damage, particularly before crack initiation and propagation occur. This paper discusses how the nonlinear ultrasonic technique of second harmonic generation can be used as a nondestructive evaluation tool to monitor microstructural changes in steel, focusing on characterizing neutron radiation embrittlement in nuclear reactor pressure vessel steels. Current experimental evidence and analytical models linking microstructural evolution with changes in the acoustic nonlinearity parameter are summarized.

  10. Optical performance monitoring (OPM) in next-generation optical networks

    NASA Astrophysics Data System (ADS)

    Neuhauser, Richard E.

    2002-09-01

    DWDM transmission is the enabling technology currently pushing the transmission bandwidths in core networks towards the multi-Tb/s regime with unregenerated transmission distances of several thousand km. Such systems represent the basic platform for transparent DWDM networks enabling both the transport of client signals with different data formats and bit rates (e.g. SDH/SONET, IP over WDM, Gigabit Ethernet, etc.) and dynamic provisioning of optical wavelength channels. Optical Performance Monitoring (OPM) will be one of the key elements for providing the capabilities of link set-up/control, fault localization, protection/restoration and path supervisioning for stable network operation becoming the major differentiator in next-generation networks. Currently, signal quality is usually characterized by DWDM power levels, spectrum-interpolated Optical Signal-to-Noise-Ratio (OSNR), and channel wavelengths. On the other hand there is urgent need for new OPM technologies and strategies providing solutions for in-channel OSNR, signal quality measurement, fault localization and fault identification. Innovative research and product activities include polarization nulling, electrical and optical amplitude sampling, BER estimation, electrical spectrum analysis, and pilot tone technologies. This presentation focuses on reviewing the requirements and solution concepts in current and next-generation networks with respect to Optical Performance Monitoring.

  11. New generation enrichment monitoring technology for gas centrifuge enrichment plants

    SciTech Connect

    Ianakiev, Kiril D; Alexandrov, Boian S.; Boyer, Brian D.; Hill, Thomas R.; Macarthur, Duncan W.; Marks, Thomas; Moss, Calvin E.; Sheppard, Gregory A.; Swinhoe, Martyn T.

    2008-06-13

    The continuous enrichment monitor, developed and fielded in the 1990s by the International Atomic Energy Agency, provided a go-no-go capability to distinguish between UF{sub 6} containing low enriched (approximately 4% {sup 235}U) and highly enriched (above 20% {sup 235}U) uranium. This instrument used the 22-keV line from a {sup 109}Cd source as a transmission source to achieve a high sensitivity to the UF{sub 6} gas absorption. The 1.27-yr half-life required that the source be periodically replaced and the instrument recalibrated. The instrument's functionality and accuracy were limited by the fact that measured gas density and gas pressure were treated as confidential facility information. The modern safeguarding of a gas centrifuge enrichment plant producing low-enriched UF{sub 6} product aims toward a more quantitative flow and enrichment monitoring concept that sets new standards for accuracy stability, and confidence. An instrument must be accurate enough to detect the diversion of a significant quantity of material, have virtually zero false alarms, and protect the operator's proprietary process information. We discuss a new concept for advanced gas enrichment assay measurement technology. This design concept eliminates the need for the periodic replacement of a radioactive source as well as the need for maintenance by experts. Some initial experimental results will be presented.

  12. On monitoring nuclear power plant emergency diesel generator reliability

    SciTech Connect

    Martz, H.F.; Tietjen, G.L.; Kvam, P.H.; Abramson, L.R.

    1993-08-11

    If offsite power is interrupted, the availability of onsite alternating current power supplies is a major factor in assuring acceptable safety at commercial light-water-cooled nuclear power plants. To control the risk of severe care damage during station blackout accidents at a given plant, the reliability of the emergency diesel generators (EDGS) to start and load-run upon demand must be maintained at a sufficiently high level. The minimum EDG reliability, which we denote by RT, is targeted at either 0.95 or 0.975 per nuclear unit consistent with the reliability level that the plant operator assumed in the coping analysis for station blackout. In 1992 the US Nuclear Regulatory Commission (NRC) considered an amendment that would require licensees to test and monitor EDG reliability against performance-based criteria that indicate possible degradation from the EDG target reliability levels. They originally proposed the following set of fixed sample-size triggers for use in monitoring EDG reliability. The purpose of this report is to compare the performance of the proposed triggers with corresponding alternative sequential variable sample-size triggers which potentially permit earlier detection of EDG reliability degradation without significantly increasing the false alarm rate. The comparison is to be done in a simulated use environment by means of Monte Carlo simulation. We are also interested in the inverse conditional probabilities of reliability degradation given that a trigger has occurred.

  13. Toward the Next Generation of Air Quality Monitoring Indicators

    NASA Technical Reports Server (NTRS)

    Hsu, Angel; Reuben, Aaron; Shindell, Drew; deSherbinin, Alex; Levy, Marc

    2013-01-01

    This paper introduces an initiative to bridge the state of scientific knowledge on air pollution with the needs of policymakers and stakeholders to design the "next generation" of air quality indicators. As a first step this initiative assesses current monitoring and modeling associated with a number of important pollutants with an eye toward identifying knowledge gaps and scientific needs that are a barrier to reducing air pollution impacts on human and ecosystem health across the globe. Four outdoor air pollutants were considered e particulate matter, ozone, mercury, and Persistent Organic Pollutants (POPs) e because of their clear adverse impacts on human and ecosystem health and because of the availability of baseline data for assessment for each. While other papers appearing in this issue will address each pollutant separately, this paper serves as a summary of the initiative and presents recommendations for needed investments to provide improved measurement, monitoring, and modeling data for policyrelevant indicators. The ultimate goal of this effort is to enable enhanced public policy responses to air pollution by linking improved data and measurement methods to decision-making through the development of indicators that can allow policymakers to better understand the impacts of air pollution and, along with source attribution based on modeling and measurements, facilitate improved policies to solve it. The development of indicators represents a crucial next step in this process.

  14. ALPHA, Mass Generation and Quantum Information

    NASA Astrophysics Data System (ADS)

    Goradia, Shantilal

    2008-05-01

    The generation of Planck energy 10E19 Gev/Planck time during the observable age of the universe (10E60 Planck times) would generate 10E79 Gev. 10E79 Gev approximates the energy of the baryon number, implying an increase of the baryon number by 10E19/Planck time. What is the source of energy for this mass generation? The ALPHA implicated as negative entropy in [1] must create vacuum energy. Vacuum energy is negative energy. Nature must balance negative energy by generating positive energy (mass), implying ALPHA balances the increasing entropy of the visible universe and generates baryonic mass. Additionally, the successful cloning of the sheep Dolly, and observed molecular blinking dots in biochemistry support the binary BITS of ON and OFF states in [1]. Vindicating Hermite's 1873 mathematical linkage of the base of natural logarithm to transcendentality will implicate natural log based ALPHA in [1] as connected to consciousness. [1] Goradia S: www.arXiv.org/pdf/physics/0210040v3.

  15. Precise Time-Tag Generator For A Local-Area-Network Monitor

    NASA Technical Reports Server (NTRS)

    Stauffer, David R.; Tran, Khoa Duy

    1995-01-01

    Time-tag-generating circuit designed for use in LAN monitor, monitors frames of data transmitted among computers on local-area network (LAN). To each frame of data that LAN monitor receives from LAN, time-tag generator appends ancillary data on time of arrival of frame, precise to within 1 microsecond of centrally generated time signal. Inserts ancillary time data in place of already used frame-check data before frames of data stored in memory of LAN monitor.

  16. Design of second generation Hanford tank corrosion monitoring system

    SciTech Connect

    Edgemon, G.L.

    1998-04-02

    small amplitude signals that are spontaneously generated by electrochemical reactions occurring at corroding or other surfaces. Laboratory studies and recent reports on field applications have reported that EN analysis is well suited for monitoring and identifying the onset of localized corrosion, and for measuring uniform corrosion rates. A two year laboratory study was started at Hanford in 1995 to provide a technical basis for using EN in Hanford nuclear waste tanks. Based on this study, a prototype system was constructed and deployed in DST 241-AZ-101 in August, 1996. Based on the successful demonstration of this prototype for more than a year, a first-generation full-scale system was designed and installed into DST 241-AN-107 in September 1997. This document summarizes the design and operational requirements of the second-generation full-scale system scheduled for deployment into 241-AY-102.

  17. Direct optical monitoring of flow generated by bacterial flagellar rotation

    NASA Astrophysics Data System (ADS)

    Kirchner, Silke R.; Nedev, Spas; Carretero-Palacios, Sol; Mader, Andreas; Opitz, Madeleine; Lohmüller, Theobald; Feldmann, Jochen

    2014-03-01

    We report on a highly sensitive approach to measure and quantify the time dependent changes of the flow generated by the flagella bundle rotation of single bacterial cells. This is achieved by observing the interactions between a silica particle and a bacterium, which are both trapped next to each other in a dual beam optical tweezer. In this configuration, the particle serves as a sensitive detector where the fast-Fourier analysis of the particle trajectory renders, it possible to access information about changes of bacterial activity.

  18. Direct optical monitoring of flow generated by bacterial flagellar rotation

    SciTech Connect

    Kirchner, Silke R.; Nedev, Spas; Carretero-Palacios, Sol; Lohmüller, Theobald E-mail: feldmann@lmu.de; Feldmann, Jochen E-mail: feldmann@lmu.de; Mader, Andreas; Opitz, Madeleine

    2014-03-03

    We report on a highly sensitive approach to measure and quantify the time dependent changes of the flow generated by the flagella bundle rotation of single bacterial cells. This is achieved by observing the interactions between a silica particle and a bacterium, which are both trapped next to each other in a dual beam optical tweezer. In this configuration, the particle serves as a sensitive detector where the fast-Fourier analysis of the particle trajectory renders, it possible to access information about changes of bacterial activity.

  19. Metabolic consequences of second-generation antipsychotics in youth: appropriate monitoring and clinical management

    PubMed Central

    Krill, Rebecca A; Kumra, Sanjiv

    2014-01-01

    Objective To review the metabolic consequences of second-generation antipsychotics in youth and current monitoring and intervention guidelines for optimal treatment. Background Second-generation antipsychotics have largely replaced the use of first-generation antipsychotics in treating psychotic disorders in youth. In addition, there has been a dramatic increase in using these medications to treat a variety of nonpsychotic disorders. These medications have significant metabolic side effects, including weight gain. This raises concern, given the problem of pediatric obesity. Materials and methods A review of current literature looking at prescribing practices and possible reasons for the increased use of second-generation antipsychotics in children and adolescents was conducted. Review of the mechanisms for why youth may be particularly vulnerable to the metabolic consequences (particularly weight gain) was similarly completed. In addition, data supporting the efficacy, rationale, and unique side-effect profile of each individual second-generation drug were evaluated to help inform providers on when and what to prescribe, along with current monitoring practices. The current evidence base for possible interventions regarding the management of antipsychotic-induced weight gain was also evaluated. Results and conclusion On the basis of the literature review, there are several speculated reasons for the increase in prescriptions of second-generation antipsychotics. The choice of antipsychotic for youth should be based upon the disorder being treated along with the unique side-effect profile for the most commonly used second-generation antipsychotics. Monitoring strategies are also individualized to each antipsychotic. The current interventions recommended for antipsychotic-induced weight gain include lifestyle management, switching medication to a drug with a lower propensity for weight gain, and pharmacologic (particularly metformin) treatment. PMID:25298741

  20. Information Portals: The Next Generation Catalog

    ERIC Educational Resources Information Center

    Allison, DeeAnn

    2010-01-01

    Libraries today face an increasing challenge: to provide relevant information to diverse populations with differing needs while competing with Web search engines like Google. In 2009, a large group of libraries, including the University of Nebraska-Lincoln Libraries, joined with Innovative Interfaces as development partners to design a new type of…

  1. Space Environment Monitoring System in next generation Geostationary Meteorological Satellite of China

    NASA Astrophysics Data System (ADS)

    Xin, Zhang

    Feng Yun 4(FY-4) is a second-generation Meteorological Remote Sensing earth observation satellite of China. On board FY-4, Space Environment Monitoring System(SEMS) consist of seven payloads, including 3 High Energy Particle Detector(HEPD), 1 Magnetometer(MTM), 1 Charging Potential Probe(CPP) and 1 Radiation Dosimeter(RD). High energy particle , magnetic field and space environment effect compose of main goals of SEMS. The HEPD instrument will detect proton with 3 directions , electron with 9 directions. Magnetometer will monitor magnetic field intensity between -400nT and +400nT. CPP will monitor Relative Surface Voltage from -10KV to +1KV, Absolute Surface Voltage from -20KV to -100V ,+100V to +1KV, Deep Surface Voltage from -2.5KV to 0V. RD will monitor dose from 0 rad to 200,000 rad. The first FY-4 satellite is planned to be launched in Dec 2015,This next-generation system will continue to provide more information about space weather, and SEMS will be playing more important role in space weather.

  2. Coupling hydrodynamic models and value of information for designing stage monitoring networks

    NASA Astrophysics Data System (ADS)

    Alfonso, Leonardo; Price, Roland

    2012-08-01

    Because the collection of data in water systems is important for making informed decisions, monitoring networks are designed and installed in such systems. Traditionally, the design of hydrometric monitoring networks has been concentrated on measuring streamflow/precipitation at particular key (gauged) sites so that streamflow/precipitation can be estimated accurately at ungauged sites. Although many methods take into account a set of final users of the information, there appears to be no method that explicitly considers them in the mathematical formulation of the decision-making process. This paper presents a novel approach for designing monitoring networks in a water system using the concept of value of information (VOI). This concept takes into account three main factors: (1) the belief that the decision maker has about the state of the water system before having any information; (2) the consequences associated with the decision of having to choose among several possible management actions given the state of the water system; and (3) the evaluation and update of new information when it becomes available. The methodology uses a water level time series generated by a hydrodynamic model at every computational point, each one being a potential monitor site. The method is tested in a polder system in the Netherlands, where monitoring is required to make informed decisions about the operation of a set of hydraulic structures to reduce flood impacts.

  3. Defining, monitoring and combining safety information in clinical trials.

    PubMed

    Enas, G G; Goldstein, D J

    Assessment of clinical trial safety data for industry, regulatory agencies, medical practitioners and patients requires definition and measurement, monitoring, and overall analysis. Prospective 'safety' definitions and reliable measurement tools reduce inefficient data collection and improve the validity of resulting analyses. Statistical tools can help investigators monitor safety data from controlled clinical trials and help improve post-marketing surveillance. Also, when evaluating overall safety, one needs to assess all available information by combining information from many trials and other sources. Planning for this combined assessment, incorporating flexibility to assess unanticipated yet important nuances in individual trials, may be more important than the actual statistical analysis method used. A keen awareness of the future needs of consumers of this information is quite important. Some current proposals to combine safety information will be discussed.

  4. 75 FR 52711 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-27

    ...; National Animal Health Monitoring System; Sheep 2011 Study AGENCY: Animal and Plant Health Inspection... intention to initiate an information collection to support the National Animal Health Monitoring System...-2908. SUPPLEMENTARY INFORMATION: Title: National Animal Health Monitoring System; Sheep 2011 Study....

  5. Information systems for health sector monitoring in Papua New Guinea.

    PubMed Central

    Cibulskis, R. E.; Hiawalyer, G.

    2002-01-01

    This paper describes (i). how a national health information System was designed, tested and implemented in Papua New Guinea, (ii). how the system was integrated with other management information systems, and (iii). how information has been used to support decision-making. It concludes that central coordination of systems design is essential to make sure that information systems are aligned with government priorities and can deliver the information required by managers. While there is often scope for improving the performance of existing information systems, too much emphasis can be placed on revising data collection procedures and creating the perfect information system. Data analysis, even from imperfect systems, can stimulate greater interest in information, which can improve the quality and completeness of reporting and encourage a more methodical approach to planning and monitoring services. Our experience suggests that senior decision-makers and political leaders can play an important role in creating a culture of information use. By demanding health information, using it to formulate policy, and disseminating it through the channels open to them, they can exert greater influence in negotiations with donors and other government departments, encourage a more rational approach to decision-making that will improve the operation of health services, and stimulate greater use of information at lower levels of the health system. The ability of information systems to deliver these benefits is critical to their sustainability. PMID:12378295

  6. Seismic Monitoring of Ice Generated Events at the Bering Glacier

    NASA Astrophysics Data System (ADS)

    Fitzgerald, K.; Richardson, J.; Pennington, W.

    2008-12-01

    The Bering Glacier, located in southeast Alaska, is the largest glacier in North America with a surface area of approximately 5,175 square kilometers. It extends from its source in the Bagley Icefield to its terminus in tidal Vitus Lake, which drains into the Gulf of Alaska. It is known that the glacier progresses downhill through the mechanisms of plastic crystal deformation and basal sliding. However, the basal processes which take place tens to hundreds of meters below the surface are not well understood, except through the study of sub- glacial landforms and passive seismology. Additionally, the sub-glacial processes enabling the surges, which occur approximately every two decades, are poorly understood. Two summer field campaigns in 2007 and 2008 were designed to investigate this process near the terminus of the glacier. During the summer of 2007, a field experiment at the Bering Glacier was conducted using a sparse array of L-22 short period sensors to monitor ice-related events. The array was in place for slightly over a week in August and consisted of five stations centered about the final turn of the glacier west of the Grindle Hills. Many events were observed, but due to the large distance between stations and the highly attenuating surface ice, few events were large enough to be recorded on sufficient stations to be accurately located and described. During August 2008, six stations were deployed for a similar length of time, but with a closer spacing. With this improved array, events were located and described more accurately, leading to additional conclusions about the surface, interior, and sub-glacial ice processes producing seismic signals. While the glacier was not surging during the experiment, this study may provide information on the non-surging, sub-glacial base level activity. It is generally expected that another surge will take place within a few years, and baseline studies such as this may assist in understanding the nature of surges.

  7. Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective.

    PubMed

    Bhatia, Munish; Sood, Sandeep K

    2016-08-01

    The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient's life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system.

  8. Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective.

    PubMed

    Bhatia, Munish; Sood, Sandeep K

    2016-08-01

    The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient's life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system. PMID:27388507

  9. A cloud-based information repository for bridge monitoring applications

    NASA Astrophysics Data System (ADS)

    Jeong, Seongwoon; Zhang, Yilan; Hou, Rui; Lynch, Jerome P.; Sohn, Hoon; Law, Kincho H.

    2016-04-01

    This paper describes an information repository to support bridge monitoring applications on a cloud computing platform. Bridge monitoring, with instrumentation of sensors in particular, collects significant amount of data. In addition to sensor data, a wide variety of information such as bridge geometry, analysis model and sensor description need to be stored. Data management plays an important role to facilitate data utilization and data sharing. While bridge information modeling (BrIM) technologies and standards have been proposed and they provide a means to enable integration and facilitate interoperability, current BrIM standards support mostly the information about bridge geometry. In this study, we extend the BrIM schema to include analysis models and sensor information. Specifically, using the OpenBrIM standards as the base, we draw on CSI Bridge, a commercial software widely used for bridge analysis and design, and SensorML, a standard schema for sensor definition, to define the data entities necessary for bridge monitoring applications. NoSQL database systems are employed for data repository. Cloud service infrastructure is deployed to enhance scalability, flexibility and accessibility of the data management system. The data model and systems are tested using the bridge model and the sensor data collected at the Telegraph Road Bridge, Monroe, Michigan.

  10. DC information preservation for cardiopulmonary monitor utilizing CW Doppler radar.

    PubMed

    Vergara, Alexander M; Boric-Lubecke, Olga; Lubecke, Victor M

    2008-01-01

    Direct conversion RF receivers introduce large DC offsets, reducing the dynamic range of the baseband signal. Coupled with the relatively small time varying signals in human vital sign monitoring using CW Doppler radar, extraction of cardio-pulmonary information becomes difficult. Previous DC offset compensation techniques utilizing AC coupling have proven detrimental to the performance of the system and the integrity of the low-frequency cardiopulmonary signals. A proposed system utilizing digitally controlled voltage feedback and center finding preserves the important DC information for optimal extraction of phase information in the quadrature system.

  11. Informed maintenance for next generation space transportation systems

    NASA Astrophysics Data System (ADS)

    Fox, Jack J.

    2001-02-01

    Perhaps the most substantial single obstacle to progress of space exploration and utilization of space for human benefit is the safety & reliability and the inherent cost of launching to, and returning from, space. The primary influence in the high costs of current launch systems (the same is true for commercial and military aircraft and most other reusable systems) is the operations, maintenance and infrastructure portion of the program's total life cycle costs. Reusable Launch Vehicle (RLV) maintenance and design have traditionally been two separate engineering disciplines with often conflicting objectives-maximizing ease of maintenance versus optimizing performance, size and cost. Testability analysis, an element of Informed Maintenance (IM), has been an ad hoc, manual effort, in which maintenance engineers attempt to identify an efficient method of troubleshooting for the given product, with little or no control over product design. Therefore, testability deficiencies in the design cannot be rectified. It is now widely recognized that IM must be engineered into the product at the design stage itself, so that an optimal compromise is achieved between system maintainability and performance. The elements of IM include testability analysis, diagnostics/prognostics, automated maintenance scheduling, automated logistics coordination, paperless documentation and data mining. IM derives its heritage from complimentary NASA science, space and aeronautic enterprises such as the on-board autonomous Remote Agent Architecture recently flown on NASA's Deep Space 1 Probe as well as commercial industries that employ quick turnaround operations. Commercial technologies and processes supporting NASA's IM initiatives include condition based maintenance technologies from Boeing's Commercial 777 Aircraft and Lockheed-Martin's F-22 Fighter, automotive computer diagnostics and autonomous controllers that enable 100,000 mile maintenance free operations, and locomotive monitoring

  12. Informed maintenance for next generation reusable launch systems

    NASA Astrophysics Data System (ADS)

    Fox, Jack J.; Gormley, Thomas J.

    2001-03-01

    Perhaps the most substantial single obstacle to progress of space exploration and utilization of space for human benefit is the safety & reliability and the inherent cost of launching to, and returning from, space. The primary influence in the high costs of current launch systems (the same is true for commercial and military aircraft and most other reusable systems) is the operations, maintenance and infrastructure portion of the program's total life cycle costs. Reusable Launch Vehicle (RLV) maintenance and design have traditionally been two separate engineering disciplines with often conflicting objectives - maximizing ease of maintenance versus optimizing performance, size and cost. Testability analysis, an element of Informed Maintenance (IM), has been an ad hoc, manual effort, in which maintenance engineers attempt to identify an efficient method of troubleshooting for the given product, with little or no control over product design. Therefore, testability deficiencies in the design cannot be rectified. It is now widely recognized that IM must be engineered into the product at the design stage itself, so that an optimal compromise is achieved between system maintainability and performance. The elements of IM include testability analysis, diagnostics/prognostics, automated maintenance scheduling, automated logistics coordination, paperless documentation and data mining. IM derives its heritage from complimentary NASA science, space and aeronautic enterprises such as the on-board autonomous Remote Agent Architecture recently flown on NASA's Deep Space 1 Probe as well as commercial industries that employ quick turnaround operations. Commercial technologies and processes supporting NASA's IM initiatives include condition based maintenance technologies from Boeing's Commercial 777 Aircraft and Lockheed-Martin's F-22 Fighter, automotive computer diagnostics and autonomous controllers that enable 100,000 mile maintenance free operations, and locomotive monitoring

  13. EAGLE Monitors by Collecting Facts and Generating Obligations

    NASA Technical Reports Server (NTRS)

    Barrnger, Howard; Goldberg, Allen; Havelund, Klaus; Sen, Koushik

    2003-01-01

    We present a rule-based framework, called EAGLE, that has been shown to be capable of defining and implementing a range of finite trace monitoring logics, including future and past time temporal logic, extended regular expressions, real-time and metric temporal logics, interval logics, forms of quantified temporal logics, and so on. A monitor for an EAGLE formula checks if a finite trace of states satisfies the given formula. We present, in details, an algorithm for the synthesis of monitors for EAGLE. The algorithm is implemented as a Java application and involves novel techniques for rule definition, manipulation and execution. Monitoring is achieved on a state-by-state basis avoiding any need to store the input trace of states. Our initial experiments have been successful as EAGLE detected a previously unknown bug while testing a planetary rover controller.

  14. Automation of Large-scale Computer Cluster Monitoring Information Analysis

    NASA Astrophysics Data System (ADS)

    Magradze, Erekle; Nadal, Jordi; Quadt, Arnulf; Kawamura, Gen; Musheghyan, Haykuhi

    2015-12-01

    High-throughput computing platforms consist of a complex infrastructure and provide a number of services apt to failures. To mitigate the impact of failures on the quality of the provided services, a constant monitoring and in time reaction is required, which is impossible without automation of the system administration processes. This paper introduces a way of automation of the process of monitoring information analysis to provide the long and short term predictions of the service response time (SRT) for a mass storage and batch systems and to identify the status of a service at a given time. The approach for the SRT predictions is based on Adaptive Neuro Fuzzy Inference System (ANFIS). An evaluation of the approaches is performed on real monitoring data from the WLCG Tier 2 center GoeGrid. Ten fold cross validation results demonstrate high efficiency of both approaches in comparison to known methods.

  15. Monitoring information model for traffic engineering over MPLS VPNs

    NASA Astrophysics Data System (ADS)

    Cherkaoui, Omar; Sarrazin, Alain; Francoeur, Guy; Chen, Ken

    2001-07-01

    Monitoring is the part of Traffic Engineering (TE) that aims at optimizing the use of network resources and assists both in informing the provider and proving to the customer that the service offered respects the SLAs required to optimize the network resources utilization. In this paper, we present a monitoring framework for MPLS-VPN services. We first briefly review MPLS, VPN, NBVPN, Constrained Based Routing to provide a background for the discussion of traffic Engineering. We then discuss the general issues surrounding the design of a MPLS VPN from the point of view of TE and go on to present a management framework that extends the DEN information specific to MPLS VPNs. In this framework, we add policy actions that react dynamically to abnormal results by changing the sampling frequency.

  16. GIS Application System Design Applied to Information Monitoring

    NASA Astrophysics Data System (ADS)

    Qun, Zhou; Yujin, Yuan; Yuena, Kang

    Natural environment information management system involves on-line instrument monitoring, data communications, database establishment, information management software development and so on. Its core lies in collecting effective and reliable environmental information, increasing utilization rate and sharing degree of environment information by advanced information technology, and maximizingly providing timely and scientific foundation for environmental monitoring and management. This thesis adopts C# plug-in application development and uses a set of complete embedded GIS component libraries and tools libraries provided by GIS Engine to finish the core of plug-in GIS application framework, namely, the design and implementation of framework host program and each functional plug-in, as well as the design and implementation of plug-in GIS application framework platform. This thesis adopts the advantages of development technique of dynamic plug-in loading configuration, quickly establishes GIS application by visualized component collaborative modeling and realizes GIS application integration. The developed platform is applicable to any application integration related to GIS application (ESRI platform) and can be as basis development platform of GIS application development.

  17. An Intelligent CAI Monitor and Generative Tutor. Final Report.

    ERIC Educational Resources Information Center

    Koffman, Elliot B.; Perry, James

    This final report summarizes research findings and presents a model for generative computer assisted instruction (CAI) with respect to its usefulness in the classroom environment. Methods used to individualize instruction, and the evolution of a procedure used to select a concept for presentation to a student with the generative CAI system are…

  18. Image encryption using random sequence generated from generalized information domain

    NASA Astrophysics Data System (ADS)

    Xia-Yan, Zhang; Guo-Ji, Zhang; Xuan, Li; Ya-Zhou, Ren; Jie-Hua, Wu

    2016-05-01

    A novel image encryption method based on the random sequence generated from the generalized information domain and permutation–diffusion architecture is proposed. The random sequence is generated by reconstruction from the generalized information file and discrete trajectory extraction from the data stream. The trajectory address sequence is used to generate a P-box to shuffle the plain image while random sequences are treated as keystreams. A new factor called drift factor is employed to accelerate and enhance the performance of the random sequence generator. An initial value is introduced to make the encryption method an approximately one-time pad. Experimental results show that the random sequences pass the NIST statistical test with a high ratio and extensive analysis demonstrates that the new encryption scheme has superior security.

  19. Real-time monitoring during transportation of a radioisotope thermoelectric generator (RTG) using the radioisotope thermoelectric generator transportation system (RTGTS)

    SciTech Connect

    Pugh, B.K.

    1997-01-01

    The Radioisotopic Thermoelectric Generators (RTGs) that will be used to support the Cassini mission will be transported in the Radioisotope Thermoelectric Generator Transportation System (RTGTS). To ensure that the RTGs will not be affected during transportation, all parameters that could adversely affect RTG{close_quote}s performance must be monitored. The Instrumentation and Data Acquisition System (IDAS) for the RTGTS displays, monitors, and records all critical packaging and trailer system parameters. The IDAS also monitors the package temperature control system, RTG package shock and vibration data, and diesel fuel levels for the diesel fuel tanks. The IDAS alarms if any of these parameters reach an out-of-limit condition. This paper discusses the real-time monitoring during transportation of the Cassini RTGs using the RTGTS IDAS. {copyright} {ital 1997 American Institute of Physics.}

  20. Summary report on beam and radiation generation, monitoring and control (working group 6).

    SciTech Connect

    Power, J. G.; Gordon, D. F.; High Energy Physics; Naval Research Lab.

    2009-01-01

    The discussions of the working group on beam and radiation generation, monitoring, and control (working group 6) at the 2008 advanced accelerator concepts workshop are summarized. The discussions concerned electron injectors, phase space manipulation, beam diagnostics, pulse train generation, intense beam physics, and radiation generation.

  1. Information Superiority generated through proper application of Geoinformatics

    NASA Astrophysics Data System (ADS)

    Teichmann, F.

    2012-04-01

    Information Superiority generated through proper application of Geoinformatics Information management and especially geoscience information delivery is a very delicate task. If it is carried out successfully, geoscientific data will provide the main foundation of Information Superiority. However, improper implementation of geodata generation, assimilation, distribution or storage will not only waste valuable resources like manpower or money, but could also give rise to crucial deficiency in knowledge and might lead to potentially extremely harmful disasters or wrong decisions. Comprehensive Approach, Effect Based Operations and Network Enabled Capabilities are the current buzz terms in the security regime. However, they also apply to various interdisciplinary tasks like catastrophe relief missions, civil task operations or even in day to day business operations where geo-science data is used. Based on experience in the application of geoscience data for defence applications the following procedure or tool box for generating geodata should lead to the desired information superiority: 1. Understand and analyse the mission, the task and the environment for which the geodata is needed 2. Carry out a Information Exchange Requirement between the user or customer and the geodata provider 3. Implementation of current interoperability standards and a coherent metadata structure 4. Execute innovative data generation, data provision, data assimilation and data storage 5. Apply a cost-effective and reasonable data life cycle 6. Implement IT security by focusing of the three pillar concepts Integrity, Availability and Confidentiality of the critical data 7. Draft and execute a service level agreement or a memorandum of understanding between the involved parties 8. Execute a Continuous Improvement Cycle These ideas from the IT world should be transferred into the geoscience community and applied in a wide set of scenarios. A standardized approach of how to generate, provide

  2. Next generation x-ray all-sky monitor

    SciTech Connect

    Priedhorsky, W. C.; Peele, A. G.; Nugent, K. A.

    1997-01-10

    We set forth a conceptual design for x-ray all-sky monitor based on lobster-eye wide-field telescopes. This instrument, suitable for a small satellite, would monitor the flux of objects as faint as 2x10{sup -15} W/m{sup 2} (0.5-2.4 keV) on a daily basis with a signal-to-noise of 5. Sources would be located to 1-2 arc-minutes. Detailed simulations show that crosstalk from the cruciform lobster images would not significantly compromise performance. At this sensitivity limit, we could monitor not just x-ray binaries but fainter classes of x-ray sources. Hundreds of active galactic nuclei, coronal sources, and cataclysmic variables could be tracked on a daily basis. Large numbers of fast transients should be visible, including gamma-ray bursts and the soft x-ray breakout of nearby type II supernovae. Long-term x-ray measurements will advance our understanding of the geometries and perhaps masses of AGN, and coronal energy sources in stars.

  3. 76 FR 13969 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ...; National Animal Health Monitoring System; Needs Assessments AGENCY: Animal and Plant Health Inspection... National Animal Health Monitoring System needs assessments. DATES: We will consider all comments that we...-2908. SUPPLEMENTARY INFORMATION: Title: National Animal Health Monitoring System; Needs...

  4. 78 FR 24153 - Notice of Emergency Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-24

    ...; National Animal Health Monitoring System; Equine Herpesvirus Myeloencephalopathy Study AGENCY: Animal and... information collection for a National Animal Health Monitoring System Equine Herpesvirus Myeloencephalopathy...: National Animal Health Monitoring System; Equine Herpesvirus Myeloencephalopathy Study. OMB Number:...

  5. EPA Biofuels Research: Biofuel Vapor Generation and Monitoring Methods

    EPA Science Inventory

    The interest in renewable fuels and alternative energy sources has stimulated development of alternatives to traditional petroleum-based fuels. The EPA's Office of Transportation Air Quality (OTAQ) requires information regarding the potential health hazards ofthese fuels regardin...

  6. How the cerebellum may monitor sensory information for spatial representation

    PubMed Central

    Rondi-Reig, Laure; Paradis, Anne-Lise; Lefort, Julie M.; Babayan, Benedicte M.; Tobin, Christine

    2014-01-01

    The cerebellum has already been shown to participate in the navigation function. We propose here that this structure is involved in maintaining a sense of direction and location during self-motion by monitoring sensory information and interacting with navigation circuits to update the mental representation of space. To better understand the processing performed by the cerebellum in the navigation function, we have reviewed: the anatomical pathways that convey self-motion information to the cerebellum; the computational algorithm(s) thought to be performed by the cerebellum from these multi-source inputs; the cerebellar outputs directed toward navigation circuits and the influence of self-motion information on space-modulated cells receiving cerebellar outputs. This review highlights that the cerebellum is adequately wired to combine the diversity of sensory signals to be monitored during self-motion and fuel the navigation circuits. The direct anatomical projections of the cerebellum toward the head-direction cell system and the parietal cortex make those structures possible relays of the cerebellum influence on the hippocampal spatial map. We describe computational models of the cerebellar function showing that the cerebellum can filter out the components of the sensory signals that are predictable, and provides a novelty output. We finally speculate that this novelty output is taken into account by the navigation structures, which implement an update over time of position and stabilize perception during navigation. PMID:25408638

  7. New generation of radiacs: small computerized multipurpose radiation monitors

    SciTech Connect

    Umbarger, C.J.; Bjarke, G.O.; Erkkila, B.H.; Trujillo, F.; Waechter, D.A.; Wolf, M.A.

    1982-01-01

    The Health Division at Los Alamos has developed a multipurpose radiation monitoring device that is computer-controlled, light weight (3 lb), includes multiple radiation detectors running simultaneously, and is simple to use. This multipurpose radiac is generic in nature and can use any of the standard radiation detectors such as NaI, /sup 3/He, LET proportional gas counters, solid state surface barrier detectors, etc. LCD displays indicate the various radiation parameters in both alphanumeric and graphics format. Internal batteries allow 100 hours of use.

  8. A Generative CAI Monitor For Teaching Machine-Language Programming.

    ERIC Educational Resources Information Center

    Blount, Sumner E.

    An effective generative computer-assisted instructional system designed to teach basic machine language computer programing is now available. The system--known as Machine Language Teacher (MALT)--is implemented on an IBM 360 with numerous 2741 remote terminals giving student access. It teaches the machine language of the Simulated Educational…

  9. CISweb: Dynamically Generated Reference for a Clinical Information System

    PubMed Central

    Banken, J; Lober, WB; Love, E; Gossett, A; Lowry, D

    2001-01-01

    We devised a method of producing dynamically generated reference material based on flexible templates. Our open source system allows modification of an entire website through a user-friendly interface to a database. This model has multiple other applications in developing informational /educational websites.

  10. Distilling clinically interpretable information from data collected on next-generation wearable sensors.

    PubMed

    Haslam, Bryan; Gordhandas, Ankit; Ricciardi, Catherine; Verghese, George; Heldt, Thomas

    2011-01-01

    Medical electronic systems are generating ever larger data sets from a variety of sensors and devices. Such systems are also being packaged in wearable designs for easy and broad use. The large volume of data and the constraints of low-power, extended-duration, and wireless monitoring impose the need for on-chip processing to distill clinically relevant information from the raw data. The higher-level information, rather than the raw data, is what needs to be transmitted. We present one example of information processing for continuous, high-sampling-rate data collected from wearable and portable devices. A wearable cardiac and motion monitor designed by colleagues at MIT simultaneously records electrocardiogram (ECG) and 3-axis acceleration to onboard memory, in an ambulatory setting. The acceleration data is used to generate a continuous estimate of physical activity. Additionally, we use a Portapres continuous blood pressure monitor to concurrently record the arterial blood pressure (ABP) waveform. To help reduce noise, which is an increased challenge in ambulatory monitoring, we use both the ECG and ABP waveforms to generate a robust measure of heart rate from noisy data. We also generate an overall signal abnormality index to aid in the interpretation of the results. Two important cardiovascular quantities, namely cardiac output (CO) and total peripheral resistance (TPR), are then derived from this data over a sequence of physical activities. CO and TPR can be estimated (to within a scale factor) from heart rate, pulse pressure and mean arterial blood pressure, which in turn are directly obtained from the ECG and ABP signals. Data was collected on 10 healthy subjects. The derived quantities vary in a manner that is consistent with known physiology. Further work remains to correlate these values with the cardiac health state.

  11. Beam position monitor design for a third generation light source

    NASA Astrophysics Data System (ADS)

    Chen, Zhichu; Leng, Yongbin; Ye, Kairong; Zhao, Guobi; Yuan, Renxian

    2014-11-01

    The measurement of the beam orbit plays a very important role in particle accelerators. The button-type beam position monitor (BPM) was designed for the Shanghai Synchrotron Radiation Facility to reduce the impedances and to guarantee a high resolution of the measurement. Position resolution, beam impedance, higher-order mode, and impedance matching have been studied during the design based on the physical parameters of the storage ring at the Shanghai Synchrotron Radiation Facility. Meanwhile, an analytic formula of the BPM broadband impedance was derived based on a resistor-capacitor equivalent circuit. Thus, the impedance of the BPM could be analyzed quantitatively by simply measuring the capacitance of the electrode. This formula had been verified by comparing the results of the calculations of the formula and the simulations in MAFIA.

  12. New generation electronics applied to beam position monitors

    NASA Astrophysics Data System (ADS)

    Unser, Klaus B.

    1997-01-01

    Cellular telephones and global positioning system (GPS) satellite receivers are examples of modern rf engineering. Taking some inspiration from those designs, a precision signal-processor module for beam position monitors was developed. It features a heterodyne receiver (100 MHz to 1 GHz) with more than 90 dB dynamic range. Four multiplexed input channels are able to resolve signal differences lower than 0.0005 dB with good long-term stability. This corresponds to sub-micron resolution when used with a beam position pick-up with 40 mm free aperture. The paper concentrates on circuit design and modern dynamic testing methods, used first during development and later for production tests. The frequency synthesizer of the local oscillator, the phase-locked synchronous detector, and the low-noise preamplifier with automatic gain control are discussed. Other topics are design for immunity to electromagnetic interference to ensure reliable operation in an accelerator environment.

  13. Development of an information data base for watershed monitoring

    NASA Technical Reports Server (NTRS)

    Smith, A. Y.; Blackwell, R. J.

    1980-01-01

    Landsat multispectral scanner data, Defense Mapping Agency digital terrain data, conventional maps, and ground data were integrated to create a comprehensive information data base (the Image Based Information System), to monitor the water quality of the Lake Tahoe Basin. Landsat imagery was used as the planimetric base to which all other data were registered. A georeference image plane, which provided an interface between all data planes for the Lake Tahoe Basin data base, was created from the drainage basin map. The data base was used to extract each drainage basin for separate display. The Defense Mapping Agency-created elevation image was processed with VICAR software to produce a component representing slope magnitude, which was cross-tabulated with the drainage basin georeference table. Future applications of the data base include the development of precipitation modeling, surface runoff models, and classification of drainage basin cover types.

  14. Toward the next generation of air quality monitoring: Mercury

    NASA Astrophysics Data System (ADS)

    Pirrone, Nicola; Aas, Wenche; Cinnirella, Sergio; Ebinghaus, Ralf; Hedgecock, Ian M.; Pacyna, Jozef; Sprovieri, Francesca; Sunderland, Elsie M.

    2013-12-01

    understanding the link between the magnitude of mercury emissions and the concentrations found in the fish that we consume. For air quality monitoring, priorities include expanding the existing data collection network and widening the scope of atmospheric mercury measurements (elemental, oxidised, and particulate species as well as mercury in precipitation). Presently, the only accurate indicators of mercury impacts on human and biological health are methylmercury concentrations in biota. However, recent advances in analytical techniques (stable mercury isotopes) and integrated modelling tools are allowing greater understanding of the relationship between atmospheric deposition, concentrations in water, methylation and uptake by biota. This article recommends an expansion of the current atmospheric monitoring network and the establishment of new coordinated measurements of total mercury and methylmercury concentrations in seawater and concurrent concentrations and trends in marine fish.

  15. Optical monitoring of rheumatoid arthritis: Monte Carlo generated reconstruction kernels

    NASA Astrophysics Data System (ADS)

    Minet, O.; Beuthan, J.; Hielscher, A. H.; Zabarylo, U.

    2008-06-01

    Optical imaging in biomedicine is governed by the light absorption and scattering interaction on microscopic and macroscopic constituents in the medium. Therefore, light scattering characteristics of human tissue correlate with the stage of some diseases. In the near infrared range the scattering event with the coefficient approximately two orders of magnitude greater than absorption plays a dominant role. When measuring the optical parameters variations were discovered that correlate with the rheumatoid arthritis of a small joint. The potential of an experimental setup for transillumination the finger joint with a laser diode and the pattern of the stray light detection are demonstrated. The scattering caused by skin contains no useful information and it can be removed by a deconvolution technique to enhance the diagnostic value of this non-invasive optical method. Monte Carlo simulations ensure both the construction of the corresponding point spread function and both the theoretical verification of the stray light picture in rather complex geometry.

  16. Next Generation UAS Based Spectral Systems for Environmental Monitoring

    NASA Technical Reports Server (NTRS)

    Campbell, P.; Townsend, P.; Mandl, D.; Kingdon, C.; Ly, V.; Sohlberg, R.; Corp, L.; Cappelaere, P.; Frye, S.; Handy, M.; Nagol, J.; Ambrosia, V.; Navarro, F.

    2015-01-01

    This presentation provides information on the development of a small Unmanned Aerial System(UAS) with a low power, high performance Intelligent Payload Module (IPM) and a hyperspectral imager to enable intelligent gathering of science grade vegetation data over agricultural fields at about 150 ft. The IPM performs real time data processing over the image data and then enables the navigation system to move the UAS to locations where measurements are optimal for science. This is important because the small UAS typically has about 30 minutes of battery power and therefore over large agricultural fields, resource utilization efficiency is important. The key innovation is the shrinking of the IPM and the cross communication with the navigation software to allow the data processing to interact with desired way points while using Field Programmable Gate Arrays to enable high performance on large data volumes produced by the hyperspectral imager.

  17. Automatic generation of computable implementation guides from clinical information models.

    PubMed

    Boscá, Diego; Maldonado, José Alberto; Moner, David; Robles, Montserrat

    2015-06-01

    Clinical information models are increasingly used to describe the contents of Electronic Health Records. Implementation guides are a common specification mechanism used to define such models. They contain, among other reference materials, all the constraints and rules that clinical information must obey. However, these implementation guides typically are oriented to human-readability, and thus cannot be processed by computers. As a consequence, they must be reinterpreted and transformed manually into an executable language such as Schematron or Object Constraint Language (OCL). This task can be difficult and error prone due to the big gap between both representations. The challenge is to develop a methodology for the specification of implementation guides in such a way that humans can read and understand easily and at the same time can be processed by computers. In this paper, we propose and describe a novel methodology that uses archetypes as basis for generation of implementation guides. We use archetypes to generate formal rules expressed in Natural Rule Language (NRL) and other reference materials usually included in implementation guides such as sample XML instances. We also generate Schematron rules from NRL rules to be used for the validation of data instances. We have implemented these methods in LinkEHR, an archetype editing platform, and exemplify our approach by generating NRL rules and implementation guides from EN ISO 13606, openEHR, and HL7 CDA archetypes. PMID:25910958

  18. Solving transportation problems; Automated monitoring system provides valuable information

    SciTech Connect

    Dillavou, J. )

    1989-07-01

    Montana-Dakota Utilities Co. is a public utility with electric and natural gas distribution systems. Its natural gas distribution operation serves more than 175,000 customers in a 168,000-sq-mile service area. Serving such a large geographical area with the required daily nomination and usage reporting conditions of the transportation contracts posed many potential problems from an operation point of view. MDU solved these problems by implementing a fully automated system. The Metretek data collection system is described in this paper. It provides MDU with the volume information required to balance and bill the transportation accounts as well as monitor end-use transportation customer requirements on a timely basis.

  19. Online Monitoring Technical Basis and Analysis Framework for Emergency Diesel Generators - Interim Report for FY 2013

    SciTech Connect

    Binh T. Pham; Nancy J. Lybeck; Vivek Agarwal

    2012-12-01

    The Light Water Reactor Sustainability program at Idaho National Laboratory is actively conducting research to develop and demonstrate online monitoring capabilities for active components in existing nuclear power plants. Idaho National Laboratory and the Electric Power Research Institute are working jointly to implement a pilot project to apply these capabilities to emergency diesel generators and generator step-up transformers. The Electric Power Research Institute Fleet-Wide Prognostic and Health Management Software Suite will be used to implement monitoring in conjunction with utility partners: Braidwood Generating Station (owned by Exelon Corporation) for emergency diesel generators, and Shearon Harris Nuclear Generating Station (owned by Duke Energy Progress) for generator step-up transformers. This report presents monitoring techniques, fault signatures, and diagnostic and prognostic models for emergency diesel generators. Emergency diesel generators provide backup power to the nuclear power plant, allowing operation of essential equipment such as pumps in the emergency core coolant system during catastrophic events, including loss of offsite power. Technical experts from Braidwood are assisting Idaho National Laboratory and Electric Power Research Institute in identifying critical faults and defining fault signatures associated with each fault. The resulting diagnostic models will be implemented in the Fleet-Wide Prognostic and Health Management Software Suite and tested using data from Braidwood. Parallel research on generator step-up transformers was summarized in an interim report during the fourth quarter of fiscal year 2012.

  20. Information and display requirements for independent landing monitors

    NASA Technical Reports Server (NTRS)

    Karmarker, J. S.; Sorensen, J. A.

    1976-01-01

    The ways an Independent Landing Monitor (ILM) may be used to complement the automatic landing function were studied. In particular, a systematic procedure was devised to establish the information and display requirements of an ILM during the landing phase of the flight. Functionally, the ILM system is designed to aid the crew in assessing whether the total system (e.g., avionics, aircraft, ground navigation aids, external disturbances) performance is acceptable, and, in case of anomaly, to provide adequate information to the crew to select the least unsafe of the available alternatives. Economically, this concept raises the possibility of reducing the primary autoland system redundancy and associated equipment and maintenance costs. The required level of safety for the overall system would in these cases be maintained by upgrading the backup manual system capability via the ILM. A safety budget analysis was used to establish the reliability requirements for the ILM. These requirements were used as constraints in devising the fault detection scheme. Covariance propagation methods were used with a linearized system model to establish the time required to correct manually perturbed states due to the fault. Time-to-detect and time-to-correct requirements were combined to devise appropriate altitudes and strategies for fault recovery.

  1. Deciphering next-generation pharmacogenomics: an information technology perspective.

    PubMed

    Potamias, George; Lakiotaki, Kleanthi; Katsila, Theodora; Lee, Ming Ta Michael; Topouzis, Stavros; Cooper, David N; Patrinos, George P

    2014-07-01

    In the post-genomic era, the rapid evolution of high-throughput genotyping technologies and the increased pace of production of genetic research data are continually prompting the development of appropriate informatics tools, systems and databases as we attempt to cope with the flood of incoming genetic information. Alongside new technologies that serve to enhance data connectivity, emerging information systems should contribute to the creation of a powerful knowledge environment for genotype-to-phenotype information in the context of translational medicine. In the area of pharmacogenomics and personalized medicine, it has become evident that database applications providing important information on the occurrence and consequences of gene variants involved in pharmacokinetics, pharmacodynamics, drug efficacy and drug toxicity will become an integral tool for researchers and medical practitioners alike. At the same time, two fundamental issues are inextricably linked to current developments, namely data sharing and data protection. Here, we discuss high-throughput and next-generation sequencing technology and its impact on pharmacogenomics research. In addition, we present advances and challenges in the field of pharmacogenomics information systems which have in turn triggered the development of an integrated electronic 'pharmacogenomics assistant'. The system is designed to provide personalized drug recommendations based on linked genotype-to-phenotype pharmacogenomics data, as well as to support biomedical researchers in the identification of pharmacogenomics-related gene variants. The provisioned services are tuned in the framework of a single-access pharmacogenomics portal.

  2. Deciphering next-generation pharmacogenomics: an information technology perspective

    PubMed Central

    Potamias, George; Lakiotaki, Kleanthi; Katsila, Theodora; Lee, Ming Ta Michael; Topouzis, Stavros; Cooper, David N.; Patrinos, George P.

    2014-01-01

    In the post-genomic era, the rapid evolution of high-throughput genotyping technologies and the increased pace of production of genetic research data are continually prompting the development of appropriate informatics tools, systems and databases as we attempt to cope with the flood of incoming genetic information. Alongside new technologies that serve to enhance data connectivity, emerging information systems should contribute to the creation of a powerful knowledge environment for genotype-to-phenotype information in the context of translational medicine. In the area of pharmacogenomics and personalized medicine, it has become evident that database applications providing important information on the occurrence and consequences of gene variants involved in pharmacokinetics, pharmacodynamics, drug efficacy and drug toxicity will become an integral tool for researchers and medical practitioners alike. At the same time, two fundamental issues are inextricably linked to current developments, namely data sharing and data protection. Here, we discuss high-throughput and next-generation sequencing technology and its impact on pharmacogenomics research. In addition, we present advances and challenges in the field of pharmacogenomics information systems which have in turn triggered the development of an integrated electronic ‘pharmacogenomics assistant’. The system is designed to provide personalized drug recommendations based on linked genotype-to-phenotype pharmacogenomics data, as well as to support biomedical researchers in the identification of pharmacogenomics-related gene variants. The provisioned services are tuned in the framework of a single-access pharmacogenomics portal. PMID:25030607

  3. Dual-monitor deterministic hardware for visual stimuli generation in neuroscience experiments.

    PubMed

    Gazziro, Mario; Almeida, Lirio

    2010-01-01

    This article describes the development of a dual-monitor visual stimulus generator that is used in neuroscience experiments with invertebrates such as flies. The experiment consists in the visualization of two fixed images that are displaced horizontally according to the stimulus data. The system was developed using off-the-shelf FPGA kits and it is capable of displaying 640x480 pixels with 256 intensity levels at 200 frames per second (FPS) on each monitor. A Raster plot of the experiment with the superimposed stimuli was generated as the result of this work. A novel architecture was developed, using the same DOT Clock for both monitors, and its implementation generates a perfect synchronism in both devices.

  4. Dual-monitor deterministic hardware for visual stimuli generation in neuroscience experiments.

    PubMed

    Gazziro, Mario; Almeida, Lirio

    2010-01-01

    This article describes the development of a dual-monitor visual stimulus generator that is used in neuroscience experiments with invertebrates such as flies. The experiment consists in the visualization of two fixed images that are displaced horizontally according to the stimulus data. The system was developed using off-the-shelf FPGA kits and it is capable of displaying 640x480 pixels with 256 intensity levels at 200 frames per second (FPS) on each monitor. A Raster plot of the experiment with the superimposed stimuli was generated as the result of this work. A novel architecture was developed, using the same DOT Clock for both monitors, and its implementation generates a perfect synchronism in both devices. PMID:21096378

  5. SilvaCarbon: Volunteered Geographical Information and Effective Monitoring

    NASA Astrophysics Data System (ADS)

    Sun, M.

    2011-12-01

    Significant amounts of efforts have been taken into monitoring forest and terrestrial carbon by many countries in recent years. As the rapid increase of methodologies and resources, international collaboration is critical now for enhancing capacity of managing and sharing the ongoing research efficiently worldwide. Moreover, much broader citizen participants with or without expert training have been involved in. Fortunately, the emergence of Web2.0, social networking, and geopositioning technology make such wide-range collaboration and participation on geospatial science research possible. The concept of Volunteer Geographical Information (VGI) coined by Michael F. Goodchild enables the ability to contribute georeferenced and disseminated scientific resource and to exchange information over the web. With this in mind, SilvaCarbon, applying the above technologies, is a project conducted by U.S. federal agencies as a U.S. contribution to the Forest Carbon Tracking task of the intergovernmental Group on Earth Observation. Clearly, all research activities must rely on geographic data. And because of the observational objectives of Forest Carbon Tracking task, data sharing is a main objective of the project needed to be addressed. Data can be captured directly, contributed by secondary sources, or obtained from historical archive for the past period. Each VGI participant becomes a sensor with the ability to collect and share data. A given phenomenon can be always described more sufficient by data from multiple sources than captured individually. And data sharing can also satisfy the desire to avoid data duplication. Another purpose of Silvacarbon is to describe the activity states of involved countries, communities and individual participants and to help communicating. With the assistant of the other social networking like Facebook and Twitter, VGI participants are given an access to broadcast states of their research or activities. They also can plan travels and trades

  6. 78 FR 58286 - Proposed Information Collection; Comment Request; Western Region Vessel Monitoring System and Pre...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-23

    ... Monitoring System (VMS) units will facilitate enforcement of closures associated with HMS fisheries and provide timely information on associated fleet activities. II. Method of Collection VMS activation... Number of Respondents: 80. Estimated Time per Response: Vessel monitoring system (VMS) activation...

  7. Standard signal processing using enriched sensor information for WWTP monitoring and control.

    PubMed

    Irizar, I; Alferes, J; Larrea, L; Ayesa, E

    2008-01-01

    Important indicators for monitoring and control of wastewater treatment plants (WWTP) often have to be obtained from the processing of on-line signal trajectories. Therefore, the quality of sensor instantaneous measurements can be improved significantly if they are complemented with valuable information about the geometric features of their trajectories. The present paper describes the design and implementation of a Standard Signal Processing Architecture (SSPA) from which enriched sensor information is generated automatically. The SSPA has been made up of three complementary modules: the pre-processing module, the storage module and the post-processing module. Moreover, the SSPA has been parameterised so as to allow its adaptation to the specifications of every signal. By performing basic calculations on pre-processed signal trajectories, the storage module produces enriched vectors which collect information of the first and second time derivatives, average and variance values, peak values, linear regression parameters, curvature, etc. Then, the enriched information vectors can be exploited to implement customised monitoring and control tools. In this respect, the effectiveness of the SSPA has been demonstrated in three different practical cases: (1) OUR and KLa identification algorithms; (2) processing of measurements for real-time controllers; and, (3) detection of bend-points in on-line signals of SBR processes. PMID:18441432

  8. An algebra for spatio-temporal information generation

    NASA Astrophysics Data System (ADS)

    Pebesma, Edzer; Scheider, Simon; Gräler, Benedikt; Stasch, Christoph; Hinz, Matthias

    2016-04-01

    When we accept the premises of James Frew's laws of metadata (Frew's first law: scientists don't write metadata; Frew's second law: any scientist can be forced to write bad metadata), but also assume that scientists try to maximise the impact of their research findings, can we develop our information infrastructures such that useful metadata is generated automatically? Currently, sharing of data and software to completely reproduce research findings is becoming standard, e.g. in the Journal of Statistical Software [1]. The reproduction (e.g. R) scripts however convey correct syntax, but still limited semantics. We propose [2] a new, platform-neutral way to algebraically describe how data is generated, e.g. by observation, and how data is derived, e.g. by processing observations. It starts with forming functions composed of four reference system types (space, time, quality, entity), which express for instance continuity of objects over time, and continuity of fields over space and time. Data, which is discrete by definition, is generated by evaluating such functions at discrete space and time instances, or by evaluating a convolution (aggregation) over them. Derived data is obtained by inputting data to data derivation functions, which for instance interpolate, estimate, aggregate, or convert fields into objects and vice versa. As opposed to the traditional when, where and what semantics of data sets, our algebra focuses on describing how a data set was generated. We argue that it can be used to discover data sets that were derived from a particular source x, or derived by a particular procedure y. It may also form the basis for inferring meaningfulness of derivation procedures [3]. Current research focuses on automatically generating provenance documentation from R scripts. [1] http://www.jstatsoft.org/ (open access) [2] http://www.meaningfulspatialstatistics.org has the full paper (in review) [3] Stasch, C., S. Scheider, E. Pebesma, W. Kuhn, 2014. Meaningful

  9. Precipitation variability within an urban monitoring network via microcanonical cascade generators

    NASA Astrophysics Data System (ADS)

    Licznar, P.; De Michele, C.; Adamowski, W.

    2015-01-01

    Understanding the variability of precipitation at small scales is fundamental in urban hydrology. Here we consider the case study of Warsaw, Poland, characterized by a precipitation-monitoring network of 25 gauges and microcanonical cascade models as the instrument of investigation. We address the following issues partially investigated in literature: (1) the calibration of microcanonical cascade model generators in conditions of short time series (i.e., 2.5-5 years), (2) the identification of the probability distribution of breakdown coefficients (BDCs) through ranking criteria and (3) the variability among the gauges of the monitoring network of the empirical distribution of BDCs. In particular, (1) we introduce an overlapping moving window algorithm to determine the histogram of BDCs and compare it with the classic non-overlapping moving window algorithm; (2) we compare the 2N-B distribution, a mixed distribution composed of two normal (N) and one beta (B), with the classic B distribution to represent the BDCs using the Akaike information criterion; and (3) we use the cluster analysis to identify patterns of BDC histograms among gauges and timescales. The scarce representation of the BDCs at large timescales, due to the short period of observation (~ 2.5 years), is solved through the overlapping moving window algorithm. BDC histograms are described by a 2N-B distribution. A clear evolution of this distribution is observed, in all gauges, from 2N-B for small timescales, N-B for intermediate timescales and B distribution for large timescales. The performance of the microcanonical cascades is evaluated for the considered gauges. Synthetic time series are analyzed with respect to the intermittency and the variability of intensity and compared to observed series. BDC histograms for each timescale are compared with the 25 gauges in Warsaw and with other gauges located in Poland and Germany.

  10. Monitoring and control requirement definition study for Dispersed Storage and Generation (DSG), volume 1

    NASA Technical Reports Server (NTRS)

    1980-01-01

    Twenty-four functional requirements were prepared under six categories and serve to indicate how to integrate dispersed storage generation (DSG) systems with the distribution and other portions of the electric utility system. Results indicate that there are no fundamental technical obstacles to prevent the connection of dispersed storage and generation to the distribution system. However, a communication system of some sophistication is required to integrate the distribution system and the dispersed generation sources for effective control. The large-size span of generators from 10 KW to 30 MW means that a variety of remote monitoring and control may be required. Increased effort is required to develop demonstration equipment to perform the DSG monitoring and control functions and to acquire experience with this equipment in the utility distribution environment.

  11. Surface Contamination Monitor and Survey Information Management System

    SciTech Connect

    1998-02-01

    Shonka Research Associates, Inc.`s (SRA) Surface Contamination Monitor and Survey Information management System (SCM/SIMS) is designed to perform alpha and beta radiation surveys of floors and surfaces and document the measured data. The SRA-SCM/SIMS technology can be applied to routine operational surveys, characterization surveys, and free release and site closure surveys. Any large nuclear site can make use of this technology. This report describes a demonstration of the SRA-SCM/SIMS technology. This demonstration is part of the chicago Pile-5 (CP-5) Large-Scale Demonstration Project (LSDP) sponsored by the US Department of Energy (DOE), Office of Science and Technology (ST), Deactivation and Decommissioning Focus Area (DDFA). The objective of the LSDP is to select and demonstrate potentially beneficial technologies at the Argonne National Laboratory-East`s (ANL) CP-5 Research Reactor Facility. The purpose of the LSDP is to demonstrate that by using innovative and improved deactivation and decommissioning (D and D) technologies from various sources, significant benefits can be achieved when compared to baseline D and D technologies.

  12. Child and Adolescent Psychiatrists' Reported Monitoring Behaviors for Second-Generation Antipsychotics

    PubMed Central

    Rodday, Angie Mae; Parsons, Susan K.; Mankiw, Catherine; Correll, Christoph U.; Robb, Adelaide S.; Zima, Bonnie T.; Saunders, Tully S.

    2015-01-01

    Abstract Objective: The number of children and adolescents (hereafter referred to as “children”) who have been prescribed second-generation antipsychotics (SGAs) has increased over the last decade, but little is known about monitoring practices in pediatric patients who are vulnerable to adverse effects. We examined factors associated with psychiatrists' self-reported monitoring of children who were prescribed SGAs. Methods: A survey was mailed to a national, randomly selected sample of 1600 child and adolescent psychiatrists from the American Medical Association mailing list. Using logistic regression, we tested whether psychiatrist characteristics, attitudes, and practice characteristics were associated with monitoring (baseline and/or periodic) the following: Patient history, height and weight, blood pressure, waist circumference, lipid and glucose levels, and electrocardiogram. Results: Among the analytic sample of 308, at least two thirds reported monitoring patient history, height and weight, blood pressure, and fasting plasma lipids and glucose; 23% reported monitoring waist circumference; and 12% reported conducting an electrocardiogram. More than one third stated that they routinely monitored thyroid levels and more than half reported monitoring complete blood count and electrolytes/blood urea nitrogen. Psychiatrists reporting that they were able to measure vital signs on site were more likely to measure height and weight. Those who reported feeling comfortable conducting a physical examination were more likely to measure blood pressure. Those answering that the risk of metabolic syndrome was low were less likely to measure blood pressure and waist circumference. Being board certified and able to measure vital signs on site were associated with more monitoring of glucose and lipid levels. Conversely, years in practice and feeling that patients were nonadherent with blood work were associated with less monitoring of glucose and lipid levels. Conclusions

  13. Lateralization of the posterior parietal cortex for internal monitoring of self- versus externally generated movements.

    PubMed

    Ogawa, Kenji; Inui, Toshio

    2007-11-01

    Internal monitoring or state estimation of movements is essential for human motor control to compensate for inherent delays and noise in sensorimotor loops. Two types of internal estimation of movements exist: self-generated movements, and externally generated movements. We used functional magnetic resonance imaging to investigate differences in brain activity for internal monitoring of self- versus externally generated movements during visual occlusion. Participants tracked a sinusoidally moving target with a mouse cursor. On some trials, vision of either target (externally generated) or cursor (self-generated) movement was transiently occluded, during which subjects continued tracking by estimating current position of either the invisible target or cursor on screen. Analysis revealed that both occlusion conditions were associated with increased activity in the presupplementary motor area and decreased activity in the right lateral occipital cortex compared to a control condition with no occlusion. Moreover, the right and left posterior parietal cortex (PPC) showed greater activation during occlusion of target and cursor movements, respectively. This study suggests lateralization of the PPC for internal monitoring of internally versus externally generated movements, fully consistent with previously reported clinical findings. PMID:17958485

  14. Monitor Tone Generates Stress in Computer and VDT Operators: A Preliminary Study.

    ERIC Educational Resources Information Center

    Dow, Caroline; Covert, Douglas C.

    A near-ultrasonic pure tone of 15,570 Herz generated by flyback transformers in computer and video display terminal (VDT) monitors may cause severe non-specific irritation or stress disease in operators. Women hear higher frequency sounds than men and are twice as sensitive to "too loud" noise. Pure tones at high frequencies are more annoying than…

  15. The use of geographical information system (GIS) technology in surface mine reclamation monitoring

    SciTech Connect

    Dixon, C.

    1999-07-01

    The use of a Geographic Information System (GIS) and related technologies (e.g., Digital cartographic tools, satellite image processing systems) can benefit the planning and monitoring of open-pit mine reclamation activities. PCI Geomatics, in conjunction with Luscar Limited's Line Creek Mine, has developed a GIS-based system designed to store information relevant to planning and assessing reclamation progress. Data that existed in various formats throughout the company, and which had been collected since the mine-planning phase, was integrated into the GIS. The system is used to summarize current reclamation activities and is linked to corporate costing procedures. Monitoring of reclamation activities and quantifying change in the mine area is easily done using the spatial analysis capabilities of the GIS. Assessments of the change in reclamation areas are enhanced by using satellite image data to produce inexpensive and timely information on the land base, and allow the comparison of the health of the vegetation to reclamation areas from year to year. The implemented system substantially reduces the time needed to generate statistics and produce maps for government or internal reports. Also, there are benefits in terms of both cost and effectiveness of reclamation planning.

  16. Monitoring

    DOEpatents

    Orr, Christopher Henry; Luff, Craig Janson; Dockray, Thomas; Macarthur, Duncan Whittemore

    2004-11-23

    The invention provides apparatus and methods which facilitate movement of an instrument relative to an item or location being monitored and/or the item or location relative to the instrument, whilst successfully excluding extraneous ions from the detection location. Thus, ions generated by emissions from the item or location can successfully be monitored during movement. The technique employs sealing to exclude such ions, for instance, through an electro-field which attracts and discharges the ions prior to their entering the detecting location and/or using a magnetic field configured to repel the ions away from the detecting location.

  17. Field monitoring of condition of large electric generators. (Latest citations from the EI Compendex plus database). Published Search

    SciTech Connect

    Not Available

    1993-08-01

    The bibliography contains citations concerning monitoring techniques to determine the condition of large electric generators. Electric generators are limited to turbine generators, variously called hydroturbines, turbogenerators and turbosets. Wind turbines and magnetohydrodynamics are not included in this bibliography. Techniques for condition monitoring include noise analysis and acoustic monitoring, vibration and misalignment measurements, bearing oil analyses, and transient torsional changes affecting shafts and rotors. (Contains a minimum of 178 citations and includes a subject term index and title list.)

  18. Design of Hanford Site 4th Generation Multi Function Corrosion Monitoring System

    SciTech Connect

    NORMAN, E.C.

    2000-08-30

    This document describes the design of the fourth-generation corrosion monitoring system scheduled to be installed in DST 241-AN-104 early in fiscal year 2001. A fourth-generation multi-function corrosion monitoring system has been designed for installation into a DST in the 241-AN farm at the Hanford Site in FY 2001. Improvements and upgrades from the third-generation system (installed in 241-AN-105) that have been incorporated into the fourth-generation system include: Addition of a built-in water lance to assist installation of probe into tanks with a hard crust layer at the surface of the waste; and Improvement of the electrode mounting apparatus used to attach the corrosion monitoring electrodes to the stainless steel probe body (new design simplifies probe assembly/wiring). These new features improve on the third-generation design and yield a system that is easier to fabricate and install, provides for a better understanding of the relationship between corrosion and other tank operating parameters, and optimizes the use of the riser that houses the probe in the tank.

  19. 77 FR 33765 - Proposed Information Collection; Bald Eagle Post-delisting Monitoring

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-07

    ... Fish and Wildlife Service Proposed Information Collection; Bald Eagle Post-delisting Monitoring AGENCY... regulations for the ESA's post-delisting monitoring requirement. The bald eagle (Haliaeetus leucocephalus) in... systematically monitoring recovered wildlife and plants after a species is delisted. The bald eagle has a...

  20. 75 FR 52504 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-26

    ... Information Collection; National Animal Health Monitoring System; Dairy Heifer Raiser 2010 Study AGENCY... National Animal Health Monitoring System Dairy Heifer Raiser 2010 Study. DATES: We will consider all... Health Monitoring System; Dairy Heifer Raiser 2010 Study. OMB Number: 0579-xxxx. Type of...

  1. 76 FR 28414 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-17

    ...; National Animal Health Monitoring System; Emergency Epidemiologic Investigations AGENCY: Animal and Plant... to support the National Animal Health Monitoring System. DATES: We will consider all comments that we... Coordinator, at (301) 851-2908. SUPPLEMENTARY INFORMATION: Title: National Animal Health Monitoring...

  2. 78 FR 58269 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-23

    ...; National Animal Health Monitoring System; Bison 2014 Study AGENCY: Animal and Plant Health Inspection... intention to request approval of a new information collection for the National Animal Health Monitoring...: National Animal Health Monitoring System; Bison 2014 Study. OMB Number: 0579-XXXX. Type of...

  3. 78 FR 58268 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-23

    ...; National Animal Health Monitoring System; Cervid 2014 Study AGENCY: Animal and Plant Health Inspection... intention to request approval of a new information collection for the National Animal Health Monitoring...: National Animal Health Monitoring System; Cervid 2014 Study. OMB Number: 0579-XXXX. Type of...

  4. An anesthesia information system for monitoring and record keeping during surgical anesthesia.

    PubMed

    Klocke, H; Trispel, S; Rau, G; Hatzky, U; Daub, D

    1986-10-01

    We have developed an anesthesia information system (AIS) that supports the anesthesiologist in monitoring and recording during a surgical operation. In development of the system, emphasis was placed on providing an anesthesiologist-computer interface that can be adapted to typical situations during anesthesia and to individual user behavior. One main feature of this interface is the integration of the input and output of information. The only device for interaction between the anesthesiologist and the AIS is a touch-sensitive, high-resolution color display screen. The anesthesiologist enters information by touching virtual function keys displayed on the screen. A data window displays all data generated over time, such as automatically recorded vital signs, including blood pressure, heart rate, and rectal and esophageal temperatures, and manually entered variables, such as administered drugs, and ventilator settings. The information gathered by the AIS is presented on the cathode ray tube in several pages. A main distributor page gives an overall view of the content of every work page. A one-page record of the anesthesia is automatically plotted on a multicolor digital plotter during the operation. An example of the use of the AIS is presented from a field test of the system during which it was evaluated in the operating room without interfering with the ongoing operation. Medical staff who used the AIS imitated the anesthesiologist's recording and information search behavior but did not have responsibility for the conduct of the anesthetic.

  5. Operational-Condition-Independent Criteria Dedicated to Monitoring Wind Turbine Generators: Preprint

    SciTech Connect

    Yang, W.; Sheng, S.; Court, R.

    2012-08-01

    To date the existing wind turbine condition monitoring technologies and commercially available systems have not been fully accepted for improving wind turbine availability and reducing their operation and maintenance costs. One of the main reasons is that wind turbines are subject to constantly varying loads and operate at variable rotational speeds. As a consequence, the influences of turbine faults and the effects of varying load and speed are coupled together in wind turbine condition monitoring signals. So, there is an urgent need to either introduce some operational condition de-coupling procedures into the current wind turbine condition monitoring techniques or develop a new operational condition independent wind turbine condition monitoring technique to maintain high turbine availability and achieve the expected economic benefits from wind. The purpose of this paper is to develop such a technique. In the paper, three operational condition independent criteria are developed dedicated for monitoring the operation and health condition of wind turbine generators. All proposed criteria have been tested through both simulated and practical experiments. The experiments have shown that these criteria provide a solution for detecting both mechanical and electrical faults occurring in wind turbine generators.

  6. Information Management Systems for Monitoring and Documenting World Heritage - the Silk Roads Chris

    NASA Astrophysics Data System (ADS)

    Vileikis, O.; Serruys, E.; Dumont, B.; van Balen, K.; Santana Quinterod, M.; de Maeyer, P.; Tigny, V.

    2012-07-01

    This paper discusses the application of Information Management Systems (IMS) for documenting and monitoring World Heritage (WH) properties. The application of IMS in WH can support all stakeholders involved in conservation, and management of cultural heritage by more easily inventorying, mining and exchanging information from multiple sources based on international standards. Moreover, IMS could assist in detecting damages and preparing management strategies to mitigate risks, and slowing down the deterioration of the integrity of WH properties. The case study of the Silk Roads Cultural Heritage Resource Information System (CHRIS), a Belgian Federal Science Policy Office funded project, illustrates the capabilities of IMS in the context of the nomination of the Central Asian Silk Roads on the WH List. This multi-lingual, web-based IMS will act as a collaborative platform allowing for the completion of improved transnational nomination dossiers and subsequent monitoring activities with all necessary baseline information to easily verify consistency and quality of the proposal. The Silk Roads CHRIS Geospatial Content Management System uses open source technologies and allows to georeference data from different scales and sources including data from field recording methods and combine it with historical and heritage features documented through various means such as textual descriptions, documents, photographs, 3D models or videos. Moreover, tailored maps can also be generated by overlaying a selection of available layers and then be exported to support the nomination dossier. Finally, by using this innovative information and decision support system, the State Parties and other interested stakeholders will have access to a complete nomination dossier and could therefore respond more effectively to hazards and disaster phenomena.

  7. Transforming Health Care Delivery Through Consumer Engagement, Health Data Transparency, and Patient-Generated Health Information

    PubMed Central

    Wald, J. S.

    2014-01-01

    Summary Objectives Address current topics in consumer health informatics. Methods Literature review. Results Current health care delivery systems need to be more effective in the management of chronic conditions as the population turns older and experiences escalating chronic illness that threatens to consume more health care resources than countries can afford. Most health care systems are positioned poorly to accommodate this. Meanwhile, the availability of ever more powerful and cheaper information and communication technology, both for professionals and consumers, has raised the capacity to gather and process information, communicate more effectively, and monitor the quality of care processes. Conclusions Adapting health care systems to serve current and future needs requires new streams of data to enable better self-management, improve shared decision making, and provide more virtual care. Changes in reimbursement for health care services, increased adoption of relevant technologies, patient engagement, and calls for data transparency raise the importance of patient-generated health information, remote monitoring, non-visit based care, and other innovative care approaches that foster more frequent contact with patients and better management of chronic conditions. PMID:25123739

  8. Review of information and communication technology devices for monitoring functional and cognitive decline in Alzheimer's disease clinical trials.

    PubMed

    Pillai, Jagan A; Bonner-Jackson, Aaron

    2015-01-01

    Detecting and monitoring early cognitive impairment in Alzheimer's disease (AD) is a significant need in the field of AD therapeutics. Successful AD clinical trial designs have to overcome challenges related to the subtle nature of early cognitive changes. Continuous unobtrusive assessments using Information and Communication Technology (ICT) devices to capture markers of intra-individual change over time to assess cognitive and functional disability therefore offers significant benefits. We review the literature and provide an overview on randomized clinical trials in AD that use intelligent systems to monitor functional decline, as well as strengths, weaknesses, and future directions for the use of ICTs in a new generation of AD clinical trials. PMID:25708378

  9. Higgs mass generation from the standpoint of information

    NASA Astrophysics Data System (ADS)

    Frieden, B. R.; Plastino, A.

    2001-01-01

    An alternative Lagrangian is derived for imparting mass to the Higgs H0, Z0 and W± bosons. The Lagrangian derives from considerations of measurement: that of the four-position of one of the bosons. (Neither the Cooper pair nor vacuum perturbation approach is taken.) The quality of the measurement can be specified by its level of Fisher information. The Lagrangian arises as a simple statement of lossless acquisition of information by the measurement process. All boson fields are regarded as probability amplitudes, and a Lagrangian variational solution is Proca equations for the Higgs Z0 and W± probability amplitudes, and a uniform amplitude function for H0. Also, the measured location of H0 is found to be quantum mechanically entangled with the mass of Z0 or W±. With ɛH the root-mean square uncertainty in the measured four-position of H0, this is as ɛHMZ⩾ℏ/2 c in a U(1) analysis, and as ɛ HM W2+0.5M Z2⩾ℏ/2c in an SU(2) analysis. MW and MZ are the masses of the W± and Z0 bosons. The mass MZ arises as if the outcome of a zero-sum game of mass acquisition played by Z0 and H0. The above inequalities are well-obeyed by currently known limiting values of ɛH, MW and MZ. They also imply an upper bound of about 206 GeV/c 2 to the mass MH of H0. The uniform nature of the probability amplitude function for H0 implies uniform mass generation over four-space and, hence, the cosmological principle of astronomy.

  10. Health monitoring of cylindrical structures using torsional wave generated by piezoelectric macro-fiber composite

    NASA Astrophysics Data System (ADS)

    Cui, Lin; Liu, Yu; Soh, Chee Kiong

    2011-04-01

    In cylindrical structures such as pipelines, cracks are more likely to occur along the longitudinal (axial) direction and they are usually fatal to the serviceability of the structures. Unfortunately, the conventional ultrasonic crack detection methods are not very sensitive to this type of cracks. This paper focuses on using piezoelectric macro-fiber composite (MFC) to generate torsional wave for health monitoring of cylindrical structures. Numerical simulations are performed using ANSYS. Nodal release method is used to model the crack. Experimental verifications are also presented. Four pieces of MFC oriented at 45° against the axis of the specimen are used to generate both longitudinal wave and torsional wave. The numerical results and the experimental results show that the axial-direction crack propagation in cylindrical structures can be well monitored using the presented wave propagation approach.

  11. 200 MW hydroelectric generator stator surface temperature monitoring using a DTS system

    NASA Astrophysics Data System (ADS)

    Mezzadri, Felipe; Bazzo, João. P.; Martelli, Cicero; Silva, Erlon V.; Cardozo da Silva, Jean Carlos

    2015-09-01

    A distributed temperature sensing (DTS) system is used to monitor the surface temperature of a high power hydroelectric generator. Two sensing fibers were installed; one is bare fiber whilst the other is jacketed with a Teflon® protection, in two distinct configurations: first, they were fixed parallel to the stator bars; secondly, they were wrapped around the stator surface. The fibers were embedded on the stator surface by using an electrically insulating resin which does not interfere with the generator operation. This technique can be used as a predictive maintenance tool.

  12. Summary report of working group 5: Beam and radiation generation, monitoring, and control

    SciTech Connect

    Church, Mike; Kim, Ki-Yong; /Maryland U.

    2010-01-01

    This paper summarizes the activities and presentations of Working Group 5 of the Advanced Accelerator Concepts Workshop held at Annapolis, Maryland in June 2010. Working Group 5 touched on a broad range of topics in the fields of beam and radiation generation and their monitoring and control. These topics were not comprehensively covered in this Workshop, but rather the Working Group concentrated on specific new developments and recent investigations. The Working Group divided its sessions into four broad categories: cathodes and electron guns, radiation generation, beam diagnostics, and beam control and dynamics. This summary is divided into the same structure.

  13. Transmission tower classification based on landslide risk map generated by Geographical Information System (GIS) at Cameron Highlands

    NASA Astrophysics Data System (ADS)

    K, Hazwani N.; O, Rohayu C.; U, Fathoni; Baharuddin, Inz

    2013-06-01

    Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

  14. Transmission tower classification based on landslide risk Map generated by Geographical Information System (GIS) at Cameron Highlands

    NASA Astrophysics Data System (ADS)

    K, Hazwani N.; O, Rohayu C.; U, Fathoni; Baharuddin, I. N. Z.; A, Azwin Z.

    2013-06-01

    Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

  15. Retrieval monitoring is influenced by information value: the interplay between importance and confidence on false memory.

    PubMed

    McDonough, Ian M; Bui, Dung C; Friedman, Michael C; Castel, Alan D

    2015-10-01

    The perceived value of information can influence one's motivation to successfully remember that information. This study investigated how information value can affect memory search and evaluation processes (i.e., retrieval monitoring). In Experiment 1, participants studied unrelated words associated with low, medium, or high values. Subsequent memory tests required participants to selectively monitor retrieval for different values. False memory effects were smaller when searching memory for high-value than low-value words, suggesting that people more effectively monitored more important information. In Experiment 2, participants studied semantically-related words, and the need for retrieval monitoring was reduced at test by using inclusion instructions (i.e., endorsement of any word related to the studied words) compared with standard instructions. Inclusion instructions led to increases in false recognition for low-value, but not for high-value words, suggesting that under standard-instruction conditions retrieval monitoring was less likely to occur for important information. Experiment 3 showed that words retrieved with lower confidence were associated with more effective retrieval monitoring, suggesting that the quality of the retrieved memory influenced the degree and effectiveness of monitoring processes. Ironically, unless encouraged to do so, people were less likely to carefully monitor important information, even though people want to remember important memories most accurately.

  16. Fast Flux Test Facility Performance Monitoring Management Information

    SciTech Connect

    Newland, D J

    1987-11-01

    The purpose of this report is to provide performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ''overall'' and ''other''. The ''overall'' performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance.

  17. Wildfire monitoring via the integration of remote sensing with innovative information technologies

    NASA Astrophysics Data System (ADS)

    Kontoes, C.; Papoutsis, I.; Michail, D.; Herekakis, Th.; Koubarakis, M.; Kyzirakos, K.; Karpathiotakis, M.; Nikolaou, C.; Sioutis, M.; Garbis, G.; Vassos, S.; Keramitsoglou, I.; Kersten, M.; Manegold, S.; Pirk, H.

    2012-04-01

    In the Institute for Space Applications and Remote Sensing of the National Observatory of Athens (ISARS/NOA) volumes of Earth Observation images of different spectral and spatial resolutions are being processed on a systematic basis to derive thematic products that cover a wide spectrum of applications during and after wildfire crisis, from fire detection and fire-front propagation monitoring, to damage assessment in the inflicted areas. The processed satellite imagery is combined with auxiliary geo-information layers, including land use/land cover, administrative boundaries, road and rail network, points of interest, and meteorological data to generate and validate added-value fire-related products. The service portfolio has become available to institutional End Users with a mandate to act on natural disasters and that have activated Emergency Support Services at a European level in the framework of the operational GMES projects SAFER and LinkER. Towards the goal of delivering integrated services for fire monitoring and management, ISARS/NOA employs observational capacities which include the operation of MSG/SEVIRI and NOAA/AVHRR receiving stations, NOA's in-situ monitoring networks for capturing meteorological parameters to generate weather forecasts, and datasets originating from the European Space Agency and third party satellite operators. The qualified operational activity of ISARS/NOA in the domain of wildfires management is highly enhanced by the integration of state-of-the-art Information Technologies that have become available in the framework of the TELEIOS (EC/ICT) project. TELEIOS aims at the development of fully automatic processing chains reliant on a) the effective storing and management of the large amount of EO and GIS data, b) the post-processing refinement of the fire products using semantics, and c) the creation of thematic maps and added-value services. The first objective is achieved with the use of advanced Array Database technologies, such

  18. Technology Mediated Information Sharing (Monitor Sharing) in Primary Care Encounters

    ERIC Educational Resources Information Center

    Asan, Onur

    2013-01-01

    The aim of this dissertation study was to identify and describe the use of electronic health records (EHRs) for information sharing between patients and clinicians in primary-care encounters and to understand work system factors influencing information sharing. Ultimately, this will promote better design of EHR technologies and effective training…

  19. Analyzing Effects of Turbulence on Power Generation Using Wind Plant Monitoring Data: Preprint

    SciTech Connect

    Zhang, J.; Chowdhury, S.; Hodge, B. M.

    2014-01-01

    In this paper, a methodology is developed to analyze how ambient and wake turbulence affects the power generation of a single wind turbine within an array of turbines. Using monitoring data from a wind power plant, we selected two sets of wind and power data for turbines on the edge of the wind plant that resemble (i) an out-of-wake scenario (i.e., when the turbine directly faces incoming winds) and (ii) an in-wake scenario (i.e., when the turbine is under the wake of other turbines). For each set of data, two surrogate models were then developed to represent the turbine power generation (i) as a function of the wind speed; and (ii) as a function of the wind speed and turbulence intensity. Support vector regression was adopted for the development of the surrogate models. Three types of uncertainties in the turbine power generation were also investigated: (i) the uncertainty in power generation with respect to the published/reported power curve, (ii) the uncertainty in power generation with respect to the estimated power response that accounts for only mean wind speed; and (iii) the uncertainty in power generation with respect to the estimated power response that accounts for both mean wind speed and turbulence intensity. Results show that (i) under the same wind conditions, the turbine generates different power between the in-wake and out-of-wake scenarios, (ii) a turbine generally produces more power under the in-wake scenario than under the out-of-wake scenario, (iii) the power generation is sensitive to turbulence intensity even when the wind speed is greater than the turbine rated speed, and (iv) there is relatively more uncertainty in the power generation under the in-wake scenario than under the out-of-wake scenario.

  20. Computer-generated reports for monitoring variances in the drug budget.

    PubMed

    Horner, L B; Keys, P W

    1987-04-01

    A computerized pharmaceutical-purchasing cost-management system that can be used to monitor variances in the drug budget is described. Variance reports on inflation, volume of drugs used, and changes in inventory are generated monthly to determine whether the pharmacy is operating within its budget. The reports are processed on an IBM personal computer with the use of a dBASE-III management software package. The price and quantity of each drug, as specified in the standard drug budget, are entered into the system; using approximately four hours per month is required for entry of the quantities and prices of drugs received as noted on the invoice. Variances in the budget are reviewed, and drug-use data are assessed to determine trends. Demand intensity (use per 1000 cases) is also tracked to determine the effects of educational programs on the proper use of drugs. Variance reports generated by a computerized budget-monitoring system provide the pharmacy with timely cost data that can be used to monitor the effects of drug-use guidelines and educational programs on the budget. PMID:3578310

  1. Watershed Scale Monitoring and Modeling of Natural Organic Matter (NOM) Generation and Transport

    NASA Astrophysics Data System (ADS)

    Adams, R.; Rees, P. L.; Reckhow, D. A.; Castellon, C. M.

    2006-05-01

    This study describes a coupled watershed scale monitoring campaign, laboratory study, and hydrological modeling study which has been focused on determining the sources and transport mechanisms for Natural Organic Matter (NOM), in a small, mostly forested New England watershed. For some time, the state conservation authorities and a large metropolitan water authority have been concerned that the level of naturally-occurring disinfection byproducts in drinking water supplied by a large surface water reservoir (Watchusett Reservoir, MA) have been increasing over time. The resulting study has attempted to investigate how these compounds, which are mostly formed by the chlorination process at the water treatment plant, are related to NOM precursor compounds which are generated from organic matter and transported by runoff processes in the watershed of the Watchusett Reservoir. The laboratory study measures disinfection byproduct formation potential (DBPFP) through chlorination of raw water samples obtained through field monitoring. Samples are analysed for trihalomethanes (THMs), and haloacetic acids (HAAs). Samples are also analysed for dissolved organic carbon (DOC) and ultraviolet absorbance at 254 nm (UV254). The samples have been collected from as many components of the hydrological cycle as possible in one of the subcatchments of Watchusett Reservoir (Stillwater River). To date the samples include, stream runoff, water impounded naturally in small ponds by beaver dams, rainfall, snow, throughfall (drainage from tree canopies) and samples pumped from shallow suction lysimeters which were installed to monitor soil water in the riparian zone. The current monitoring program began in late-Summer 2005, however infrequent stream samples are available dating back to 2000 from an earlier research project and water quality monitoring by various regulatory authorities. The monitoring program has been designed to capture as much seasonal variation in water chemistry as

  2. Generating Multiple Answers for a Word Problem with Insufficient Information

    ERIC Educational Resources Information Center

    Kinda, Shigehiro

    2012-01-01

    In mathematics learning, word problems always include sufficient information; however, in everyday situations, people sometimes encounter problems with insufficient information. Previous studies suggest that people cannot successfully handle word problems with insufficient information because they believe a word problem has only one answer and…

  3. Monitoring plasmid replication in live mammalian cells over multiple generations by fluorescence microscopy.

    PubMed

    Norby, Kathryn; Chiu, Ya-Fang; Sugden, Bill

    2012-01-01

    Few naturally-occurring plasmids are maintained in mammalian cells. Among these are genomes of gamma-herpesviruses, including Epstein-Barr virus (EBV) and Kaposi's Sarcoma-associated herpesvirus (KSHV), which cause multiple human malignancies (1-3). These two genomes are replicated in a licensed manner, each using a single viral protein and cellular replication machinery, and are passed to daughter cells during cell division despite their lacking traditional centromeres (4-8). Much work has been done to characterize the replications of these plasmid genomes using methods such as Southern blotting and fluorescence in situ hybridization (FISH). These methods are limited, though. Quantitative PCR and Southern blots provide information about the average number of plasmids per cell in a population of cells. FISH is a single-cell assay that reveals both the average number and the distribution of plasmids per cell in the population of cells but is static, allowing no information about the parent or progeny of the examined cell. Here, we describe a method for visualizing plasmids in live cells. This method is based on the binding of a fluorescently tagged lactose repressor protein to multiple sites in the plasmid of interest (9). The DNA of interest is engineered to include approximately 250 tandem repeats of the lactose operator (LacO) sequence. LacO is specifically bound by the lactose repressor protein (LacI), which can be fused to a fluorescent protein. The fusion protein can either be expressed from the engineered plasmid or introduced by a retroviral vector. In this way, the DNA molecules are fluorescently tagged and therefore become visible via fluorescence microscopy. The fusion protein is blocked from binding the plasmid DNA by culturing cells in the presence of IPTG until the plasmids are ready to be viewed. This system allows the plasmids to be monitored in living cells through several generations, revealing properties of their synthesis and partitioning to

  4. 12 CFR 202.13 - Information for monitoring purposes.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... the following information regarding the applicant(s): (i) Ethnicity, using the categories Hispanic or Latino, and not Hispanic or Latino; and race, using the categories American Indian or Alaska...

  5. 12 CFR 202.13 - Information for monitoring purposes.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... the following information regarding the applicant(s): (i) Ethnicity, using the categories Hispanic or Latino, and not Hispanic or Latino; and race, using the categories American Indian or Alaska...

  6. 12 CFR 202.13 - Information for monitoring purposes.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... the following information regarding the applicant(s): (i) Ethnicity, using the categories Hispanic or Latino, and not Hispanic or Latino; and race, using the categories American Indian or Alaska...

  7. 12 CFR 202.13 - Information for monitoring purposes.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... the following information regarding the applicant(s): (i) Ethnicity, using the categories Hispanic or Latino, and not Hispanic or Latino; and race, using the categories American Indian or Alaska...

  8. 12 CFR 202.13 - Information for monitoring purposes.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... the following information regarding the applicant(s): (i) Ethnicity, using the categories Hispanic or Latino, and not Hispanic or Latino; and race, using the categories American Indian or Alaska...

  9. OZONE MONITORING, MAPPING, AND PUBLIC OUTREACH: DELIVERING REAL-TIME OZONE INFORMATION TO YOUR COMMUNITY

    EPA Science Inventory

    The U.S. EPA had developed a handbook to help state and local government officials implement ozone monitoring, mapping, and outreach programs. The handbook, called Ozone Monitoring, Mapping, and Public Outreach: Delivering Real-Time Ozone Information to Your Community, provides ...

  10. Monitored Thermal Performance Results of Second Generation Superwindows in Three Montana Residences.

    SciTech Connect

    Arasteh, D.

    1993-05-01

    Simulation studies have shown that highly insulating windows with moderate solar transmittances (R values greater than 6 hr-ft[sup 2]--F/Btu and shading coefficients greater than 0.5) can outperform insulated walls on any orientation, even in a northern US climate. Such superwindows achieve this feat by admitting more useful solar heat gains during the heating season than energy lost through conduction, convection and infrared radiation. Testing of first generation superwindows in three new homes in northern Montana during the winter of 1989--1990, reported in an earlier study, indicated that the glazed areas of superwindows can in fact outperform insulated walls on obstructed off-south orientations. However, this same study also showed that further improvements in the thermal performance of window edges and frames are necessary if the entire window is to outperform an insulated wall. As a result, second generation superwindows with improved frame, edge, and glazing features were installed in these houses during the summer and fall of 1990 and these windows were monitored during the winter of 1990--1991. Results from this monitoring effort, discussed in this paper, showed that while small performance improvements may have been made with these second generation superwindows, the frame and edge still limited performance.

  11. Introducing equipment and plutonium glove box modifications for monitoring gas generation over plutonium oxide materials.

    SciTech Connect

    Padilla, D. D.; Berg, J. M.; Carrillo, A. G.; Montoya, A. R.; Morris, J. S.; Veirs, D. K.; Martinez, M. A.; Worl, L. A.; Harradine, D. M.; Hill, D. D.

    2002-01-01

    DOE is embarking on a program to store large quantities of Pu-bearing materials for up to fifty years. Materials for long-term storage are metals and oxides that are stabilized and packaged according to the DOE storage standard. Experience with PuO, materials has shown that gases generated by catalytic and/or radiolytic processes may accumulate. Of concern are the generation of H, gas from adsorbed water and the generation of HCI or CI, gases from the radiolysis of chloride-containing salts. We have designed instrumented storage containers that mimic the inner storage can specified in the standard. The containers and surveillance equipment are interfaced with a plutonium glovebox and are designed to allow the gas composition and pressure to be monitored over time. The surveillance activities and glovebox interfaces include Raman fiber optic probes, a gas analysis sampling port, corrosion monitors, and pressure and temperature feedthrus. Data collection for these containers is automated in order to reduce worker exposure. The equipment design and glovebox modifications are presented.

  12. Implementation of a Data Packet Generator Using Pattern Matching for Wearable ECG Monitoring Systems

    PubMed Central

    Noh, Yun Hong; Jeong, Do Un

    2014-01-01

    In this paper, a packet generator using a pattern matching algorithm for real-time abnormal heartbeat detection is proposed. The packet generator creates a very small data packet which conveys sufficient crucial information for health condition analysis. The data packet envelopes real time ECG signals and transmits them to a smartphone via Bluetooth. An Android application was developed specifically to decode the packet and extract ECG information for health condition analysis. Several graphical presentations are displayed and shown on the smartphone. We evaluate the performance of abnormal heartbeat detection accuracy using the MIT/BIH Arrhythmia Database and real time experiments. The experimental result confirm our finding that abnormal heart beat detection is practically possible. We also performed data compression ratio and signal restoration performance evaluations to establish the usefulness of the proposed packet generator and the results were excellent. PMID:25029280

  13. Implementation of a data packet generator using pattern matching for wearable ECG monitoring systems.

    PubMed

    Noh, Yun Hong; Jeong, Do Un

    2014-01-01

    In this paper, a packet generator using a pattern matching algorithm for real-time abnormal heartbeat detection is proposed. The packet generator creates a very small data packet which conveys sufficient crucial information for health condition analysis. The data packet envelopes real time ECG signals and transmits them to a smartphone via Bluetooth. An Android application was developed specifically to decode the packet and extract ECG information for health condition analysis. Several graphical presentations are displayed and shown on the smartphone. We evaluate the performance of abnormal heartbeat detection accuracy using the MIT/BIH Arrhythmia Database and real time experiments. The experimental result confirm our finding that abnormal heart beat detection is practically possible. We also performed data compression ratio and signal restoration performance evaluations to establish the usefulness of the proposed packet generator and the results were excellent. PMID:25029280

  14. Next-Generation Search Engines for Information Retrieval

    SciTech Connect

    Devarakonda, Ranjeet; Hook, Leslie A; Palanisamy, Giri; Green, James M

    2011-01-01

    In the recent years, there have been significant advancements in the areas of scientific data management and retrieval techniques, particularly in terms of standards and protocols for archiving data and metadata. Scientific data is rich, and spread across different places. In order to integrate these pieces together, a data archive and associated metadata should be generated. Data should be stored in a format that can be retrievable and more importantly it should be in a format that will continue to be accessible as technology changes, such as XML. While general-purpose search engines (such as Google or Bing) are useful for finding many things on the Internet, they are often of limited usefulness for locating Earth Science data relevant (for example) to a specific spatiotemporal extent. By contrast, tools that search repositories of structured metadata can locate relevant datasets with fairly high precision, but the search is limited to that particular repository. Federated searches (such as Z39.50) have been used, but can be slow and the comprehensiveness can be limited by downtime in any search partner. An alternative approach to improve comprehensiveness is for a repository to harvest metadata from other repositories, possibly with limits based on subject matter or access permissions. Searches through harvested metadata can be extremely responsive, and the search tool can be customized with semantic augmentation appropriate to the community of practice being served. One such system, Mercury, a metadata harvesting, data discovery, and access system, built for researchers to search to, share and obtain spatiotemporal data used across a range of climate and ecological sciences. Mercury is open-source toolset, backend built on Java and search capability is supported by the some popular open source search libraries such as SOLR and LUCENE. Mercury harvests the structured metadata and key data from several data providing servers around the world and builds a

  15. 10 CFR 1045.18 - Newly generated information in a previously declassified subject area.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... CLASSIFICATION AND DECLASSIFICATION Identification of Restricted Data and Formerly Restricted Data Information § 1045.18 Newly generated information in a previously declassified subject area. (a) The Director of... 10 Energy 4 2010-01-01 2010-01-01 false Newly generated information in a previously...

  16. Coursework-Related Information Horizons of First-Generation College Students

    ERIC Educational Resources Information Center

    Tsai, Tien-I

    2012-01-01

    Introduction: This study examines first-generation college students' information behaviour through Sonnenwald's theoretical framework of information horizons, a mental map upon which people place the information sources they use. Method: A web survey with 450 first-generation college students and 12 interviews were used to collect data. Interview…

  17. Developing a monitoring protocol for visitor-created informal trails in Yosemite National Park, USA.

    PubMed

    Leung, Yu-Fai; Newburger, Todd; Jones, Marci; Kuhn, Bill; Woiderski, Brittany

    2011-01-01

    Informal trails created or perpetuated by visitors is a management challenge in many protected natural areas such as Yosemite National Park. This is a significant issue as informal trail networks penetrate and proliferate into protected landscapes and habitats, threatening ecological integrity, aesthetics, and visitor experiences. In order to develop effective strategies for addressing this problem under an adaptive management framework, indicators must be developed and monitoring protocol must be established to gather timely and relevant data about the condition, extent, and distribution of these undesired trail segments. This article illustrates a process of developing and evaluating informal trail indicators for meadows in Yosemite Valley. Indicator measures developed in past research were reviewed to identify their appropriateness for the current application. Information gaps in existing indicator measures were addressed by creating two new indices to quantify the degree of informal trailing based on its land fragmentation effects. The selected indicator measures were applied to monitoring data collected between 2006 and 2008. The selected measures and indices were evaluated for their ability to characterize informal trail impacts at site and landscape scales. Results demonstrate the utility of indicator measures in capturing different characteristics of the informal trail problem, though several metrics are strongly related to each other. The two fragmentation indices were able to depict fragmentation without being too sensitive to changes in one constituent parameter. This study points to the need for a multiparameter approach to informal trail monitoring and integration with other monitoring data. Implications for monitoring programs and research are discussed.

  18. Quasi-distributed fiber Bragg grating temperature sensors for stator bars monitoring of large electric generators

    NASA Astrophysics Data System (ADS)

    Dreyer, Uilian J.; da Silva, Erlon V.; Biffe Di Renzo, André; Martelli, Cicero; Cardozo da Silva, Jean Carlos

    2016-05-01

    This work presents the application of a sensor based on quasi-distributed Fiber Bragg Gratings to monitor stator bars temperature of large electric generators. The applied FBG packaging method follows industrial standard procedures, and resulted in a robust and reliable sensing method, facilitating the future installation in the power plant. Experimental results are acquired in laboratory using the expected range of temperature values in the real machine. The measurement errors in the recorded results are within the calculated uncertainties and the time constant is shorter than what is obtained with conventional RTD for the same application.

  19. Some legal implications of the Precautionary Principle: improving information-generation and legal protections.

    PubMed

    Cranor, Carl F

    2004-01-01

    In creating a legal agenda in service of the Precautionary Principle, the idea of precaution requires more inventories and better monitoring of the condition of public and workforce health than at present. Rectifying problems of the past to better serve the aims of precaution will require more affirmative pre-market and much more post-market knowledge-generation by those who create and use potentially toxic substances, improved pre-market review of substances, better responses to early warnings, and quicker protective post-market responses to evidence of toxicity. This paper conceptualizes a model pre-market screening law to highlight the need for primary prevention measures and to provide philosophic ideas for improving post-market laws and addressing a large universe of existing substances that have been poorly characterized. Although retrospective personal injury law does not have good mechanisms for precaution, even this can be more protective than it is at present by enhancing causes of action for reasonable fear of disease and medical monitoring, and moving to create new causes of action for failure to develop and disseminate information needed to assess the toxicity of substances.

  20. Some legal implications of the Precautionary Principle: improving information-generation and legal protections.

    PubMed

    Cranor, Carl F

    2004-01-01

    In creating a legal agenda in service of the Precautionary Principle, the idea of precaution requires more inventories and better monitoring of the condition of public and workforce health than at present. Rectifying problems of the past to better serve the aims of precaution will require more affirmative pre-market and much more post-market knowledge-generation by those who create and use potentially toxic substances, improved pre-market review of substances, better responses to early warnings, and quicker protective post-market responses to evidence of toxicity. This paper conceptualizes a model pre-market screening law to highlight the need for primary prevention measures and to provide philosophic ideas for improving post-market laws and addressing a large universe of existing substances that have been poorly characterized. Although retrospective personal injury law does not have good mechanisms for precaution, even this can be more protective than it is at present by enhancing causes of action for reasonable fear of disease and medical monitoring, and moving to create new causes of action for failure to develop and disseminate information needed to assess the toxicity of substances. PMID:15212203

  1. Fast Flux Test Facility Performance Monitoring Management Information March 1989

    SciTech Connect

    Newland, D. J.

    1989-04-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other.`` The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement. This report must be reviewed with the understanding that both the design and the mission are different for FFTF compared to commercial power reactors.

  2. Fast Flux Test Facility Performance Monitoring Management Information January 1988

    SciTech Connect

    Newland, D J

    1988-02-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement.

  3. 77 FR 73975 - Information Collection: National Visitor Use Monitoring

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-12

    ... (including outdoor physical activities), customer satisfaction, and visitor values. The knowledge gained from... concerning this notice should be addressed to Dr. Donald B.K. English, Recreation, Heritage, and Volunteer... facilitate entry to the building. FOR FURTHER INFORMATION CONTACT: Donald B.K. English, Recreation,...

  4. Real time information from bedside monitors as part of a web-based patient record.

    PubMed

    Tachinardi, U; de Sà Rebelo, M; de Magalhães Oliveira, P P; Pilon, P E

    2001-01-01

    Traditional paper-based Medical Records, and even most of their digital counterparts, represent historical patient information. On the other hand new generations of Point-of-Care devices can be connected to standard networks and deliver streams of real time data through an Intranet, or even the Internet. Vital signs provided by IP-based devices can then be viewed at remote stations. Merging both worlds, real time and historical, in the pursuit of a comprehensive EPR is the main challenge of the present project. The basic infra-structure is composed of three main components: an existing Web-based EPR viewing station1 (Web-EPR); a fully integrated HIS/PACS system1; and a monitoring network (Siemens Infinity Network 2). Communication between the components was obtained by developing interfaces based on both HL7 and Siemens protocols the later only for waveforms. For the graphical display a web-browser-based application of the streamed signals was developed and integrated into the existing Web-EPR. This addition expanded the Web-EPR capabilities providing means to include real time signals and calculated parameters on the set of information already available. Some extra features of this project include: one-way SMS messaging of the parameters, interactive WAP access and a DICOM compliant storage of signal waveforms.

  5. Operationalizing crop monitoring system for informed decision making related to food security in Nepal

    NASA Astrophysics Data System (ADS)

    Qamer, F. M.; Shah, S. N. Pd.; Murthy, M. S. R.; Baidar, T.; Dhonju, K.; Hari, B. G.

    2014-11-01

    In Nepal, two thirds of the total population depend on agriculture for their livelihoods and more than one third of Gross Domestic Product (GDP) comes from the agriculture sector. However, effective agriculture production across the country remains a serious challenge due to various factors, such as a high degree of spatial and temporal climate variability, irrigated and rain-fed agriculture systems, farmers' fragile social and economic fabric, and unique mountain practices. ICIMOD through SERVIR-Himalaya initiative with collaboration of Ministry of Agricultural Development (MoAD) is working on developing a comprehensive crop monitoring system which aims to provide timely information on crop growth and drought development conditions. This system analyzes historical climate and crop conditions patterns and compares this data with the current growing season to provide timely assessment of crop growth. Using remote sensing data for vegetation indices, temperature and rainfall, the system generated anomaly maps are inferred to predict the increase or shortfall in production. Comparisons can be made both spatially and in graphs and figures at district and Village Developmental Committee (VDC) levels. Timely information on possible anomaly in crop production is later used by the institutions like Ministry of Agricultural Development, Nepal and World Food Programme, Nepal to trigger appropriate management response. Future potential includes integrating data on agricultural inputs, socioeconomics, demographics, and transportation to holistically assess food security in the region served by SERVIR-Himalaya.

  6. A Theory of Information Genetics: How Four Subforces Generate Information and the Implications for Total Quality Knowledge Management.

    ERIC Educational Resources Information Center

    Tsai, Bor-sheng

    2002-01-01

    Proposes a model called information genetics to elaborate on the origin of information generating. Explains conceptual and data models; and describes a software program that was developed for citation data mining, infomapping, and information repackaging for total quality knowledge management in Web representation. (Contains 112 references.)…

  7. Monitoring the integration of hospital information systems: How it may ensure and improve the quality of data.

    PubMed

    Cruz-Correia, Ricardo; Vieira-Marques, Pedro; Ferreira, Ana; Oliveira-Palhares, Ernesto; Costa, Pedro; Costa-Pereira, Altamiro

    2006-01-01

    Integration of hospital departmental information systems (HDIS) has become a common but difficult issue. In May 2003, the Department of Biostatistics and Medical Informatics implemented a Virtual Electronic Patient Record (VEPR) for the Hospital S. João (HSJ), a university hospital with over 1350 beds. The system integrates clinical data from 10 legacy HDIS plus the Hospital Administrative Database (HAD), aiming to deliver all patient information to health professionals. Currently, around 500 medical doctors use the system on a regular basis and the HSJ-VEPR retrieves an average of 3,000 new reports per day, in PDF or HTML formats. This paper describes and discusses the role of monitoring in the assurance and improvement of data quality. Three approaches were put in place: (a) monitoring the HSJ-VEPR concerning the frequency of clinical records retrieved from the DIS by checking if the daily number of reports sent by the HDIS fell in the normal range from similar week days; (b) monitoring inconsistencies in the patient's identification by cross-checking between HDIS and HAD; and (c) monitoring the integrity of clinical records delivered to medical doctors through the HSJ-VEPR by checking their digital signature. During 2005, the monitoring system detected 53 unusual frequency patterns of which 44 corresponded to real problems. Over a 6 months period, more than 400 alerts were generated concerning inconsistencies in the patient's identification found in laboratory reports. Nevertheless, a significant reduction in the number of these inconsistencies occurred - from 116 in July to 10 in December 2005--due to implementation of preventive measures by the DIS. Finally, report's integrity was checked each time the report was asked to be visualized i.e. in more than one hundred thousand times during a one year period. In conclusion, all information available in hospital information systems can and should be used to trigger alerts of malfunctions and inconsistencies, in

  8. How to structure and prioritize information needs in support of monitoring design for Integrated Coastal Management

    NASA Astrophysics Data System (ADS)

    Vugteveen, Pim; van Katwijk, Marieke M.; Rouwette, Etiënne; Hanssen, Lucien

    2014-02-01

    Integrated Coastal Management cannot operate effectively without reliable information and knowledge on changes in the environment and on the causes of those changes. Monitoring is essential to provide data needed for a real understanding of socio-economic and ecological functioning in multi-user nature areas. We present a web-based and comprehensive assessment methodology to articulate, structure and prioritize information needs and ensuing monitoring needs. We applied this methodology in the Dutch Wadden Sea Region, which includes a designated UNESCO World Heritage nature reserve. The methodology consists of the following steps: i) exploring social-ecological issues of concern and defining the monitoring scope; ii) articulating information needs expressed as tractable questions; iii) elaborating monitoring needs; iv) grounding in scientific models and current monitoring; v) synthesizing assessment findings into target entities, i.e. analysis variables for monitoring. In this paper we focus on the first three steps. As part of our methodology we performed two online surveys amongst a broad range of stakeholders and amongst monitoring professionals. In the case of the Dutch Wadden Sea Region, main monitoring questions were related to biodiversity and food web relations; effects of fisheries and its pressures on the ecosystem; channel and port dredging; spatial planning and multifunctional use; sustainable energy production; and effects of changing storm regimes due to climate change. Subsequently we elaborated these general issues into analysis variables within five themes. The presented methodology enables large scale and unbiased involvement of stakeholders in articulating information needs in a multi-user nature reserve like the Wadden Sea. In addition the methodology facilitates the input and feedback of monitoring professionals by providing a detailed elaboration of monitoring needs.

  9. Information Theoretic Extraction of EEG Features for Monitoring Subject Attention

    NASA Technical Reports Server (NTRS)

    Principe, Jose C.

    2000-01-01

    The goal of this project was to test the applicability of information theoretic learning (feasibility study) to develop new brain computer interfaces (BCI). The difficulty to BCI comes from several aspects: (1) the effective data collection of signals related to cognition; (2) the preprocessing of these signals to extract the relevant information; (3) the pattern recognition methodology to detect reliably the signals related to cognitive states. We only addressed the two last aspects in this research. We started by evaluating an information theoretic measure of distance (Bhattacharyya distance) for BCI performance with good predictive results. We also compared several features to detect the presence of event related desynchronization (ERD) and synchronization (ERS), and concluded that at least for now the bandpass filtering is the best compromise between simplicity and performance. Finally, we implemented several classifiers for temporal - pattern recognition. We found out that the performance of temporal classifiers is superior to static classifiers but not by much. We conclude by stating that the future of BCI should be found in alternate approaches to sense, collect and process the signals created by populations of neurons. Towards this goal, cross-disciplinary teams of neuroscientists and engineers should be funded to approach BCIs from a much more principled view point.

  10. Elimination of redundant thermoluminescent dosemeter monitoring at Oyster Creek nuclear generating station

    SciTech Connect

    Schwartz, P.E.

    1989-01-01

    The Oyster Creek direct radiation monitoring network has long been operating using several time-scale measurements. This network is used to assess the radiation levels during normal plant operations as well as to set the background radiation levels used to determine the radiological impact of a nonroutine release of radioactivity from the plant. Through analysis of the behavior of the monthly and quarterly activity of several types of direct radiation monitoring, the successful elimination of redundant and artificially high measurement techniques has been done in concert with providing the community with most efficient direct radiation monitoring methods. Dose rates from external radiation sources are measured around licensed U.S. Nuclear Regulatory Commission (NRC) facilities using passive detectors known as thermoluminescent dosimeters (TLDs). These detectors provide a quantitative measurement of the radiation levels in the are in which they are placed. The detected radiation could be the result of cosmic or naturally occurring origin in the air and on the ground, prior nuclear weapons testing, and activity from a nuclear facility. This paper describes the TLD network placed around the Oyster Creek nuclear generating station (OCNGS) and the comparisons between TLDs of different manufacturers and of different resident times and the successful elimination of the less accurate monthly TLD for the purpose of cost containment.

  11. Comparison of three generations of ActiGraph™ activity monitors in children and adolescents

    PubMed Central

    ROBUSTO, KRISTI M.; TROST, STEWART G.

    2012-01-01

    This study evaluated agreement among three generations of ActiGraph™ accelerometers in children and adolescents. Participants (N=29, mean age = 14.2 ± 3.0 y) completed two laboratory-based activity sessions, each lasting 60 minutes. During each session, participants concurrently wore three different models of the ActiGraph accelerometers (GT1M, GT3X, GT3X+). Agreement among the three models for vertical axis (VA) counts, vector magnitude (VM) counts, and time spent in MVPA was evaluated by calculating ICCs and Bland-Altman plots. The ICCs for total VA counts, total VM counts, and estimated MVPA were 0.994 (95% C.I. = 0.989 – 0.996), 0.981 (95% C.I.= 0.969 – 0.989), and 0.996 (95% C.I.= 0.989 – 0.998), respectively. Inter-monitor differences for total VA and VM counts ranged from 0.3% to 1.5%, while inter-monitor differences for estimated MVPA were equal to or close to zero. On the basis of these findings, we conclude that there is strong agreement between the GT1M, GT3X and GT3X+ activity monitors, thus making it acceptable for researchers and practitioners to use different ActiGraph™ models within a given study. PMID:22857599

  12. The Utility of the Real-Time NASA Land Information System Data for Drought Monitoring Applications

    NASA Technical Reports Server (NTRS)

    White, Kristopher D.; Case, Jonathan L.

    2013-01-01

    Measurements of soil moisture are a crucial component for the proper monitoring of drought conditions. The large spatial variability of soil moisture complicates the problem. Unfortunately, in situ soil moisture observing networks typically consist of sparse point observations, and conventional numerical model analyses of soil moisture used to diagnose drought are of coarse spatial resolution. Decision support systems such as the U.S. Drought Monitor contain drought impact resolution on sub-county scales, which may not be supported by the existing soil moisture networks or analyses. The NASA Land Information System, which is run with 3 km grid spacing over the eastern United States, has demonstrated utility for monitoring soil moisture. Some of the more useful output fields from the Land Information System are volumetric soil moisture in the 0-10 cm and 40-100 cm layers, column-integrated relative soil moisture, and the real-time green vegetation fraction derived from MODIS (Moderate Resolution Imaging Spectroradiometer) swath data that are run within the Land Information System in place of the monthly climatological vegetation fraction. While these and other variables have primarily been used in local weather models and other operational forecasting applications at National Weather Service offices, the use of the Land Information System for drought monitoring has demonstrated utility for feedback to the Drought Monitor. Output from the Land Information System is currently being used at NWS Huntsville to assess soil moisture, and to provide input to the Drought Monitor. Since feedback to the Drought Monitor takes place on a weekly basis, weekly difference plots of column-integrated relative soil moisture are being produced by the NASA Short-term Prediction Research and Transition Center and analyzed to facilitate the process. In addition to the Drought Monitor, these data are used to assess drought conditions for monthly feedback to the Alabama Drought Monitoring

  13. Monitoring the Photocleaving Dynamics of Colloidal MicroRNA-Functionalized Gold Nanoparticles Using Second Harmonic Generation.

    PubMed

    Kumal, Raju R; Landry, Corey R; Abu-Laban, Mohammad; Hayes, Daniel J; Haber, Louis H

    2015-09-15

    Photoactivated drug delivery systems using gold nanoparticles provide the promise of spatiotemporal control of delivery that is crucial for applications ranging from regenerative medicine to cancer therapy. In this study, we use second harmonic generation (SHG) spectroscopy to monitor the light-activated controlled release of oligonucleotides from the surface of colloidal gold nanoparticles. MicroRNA is functionalized to spherical gold nanoparticles using a nitrobenzyl linker that undergoes photocleaving upon ultraviolet irradiation. The SHG signal generated from the colloidal nanoparticle sample is shown to be a sensitive probe for monitoring the photocleaving dynamics in real time. The photocleaving irradiation wavelength is scanned to show maximum efficiency on resonance at 365 nm, and the kinetics are investigated at varying irradiation powers to demonstrate that the nitrobenzyl photocleaving is a one-photon process. Additional characterization methods including electrophoretic mobility measurements, extinction spectroscopy, and fluorimetry are used to verify the SHG results, leading to a better understanding of the photocleaving dynamics for this model oligonucleotide therapeutic delivery system.

  14. Monitoring the Photocleaving Dynamics of Colloidal MicroRNA-Functionalized Gold Nanoparticles Using Second Harmonic Generation.

    PubMed

    Kumal, Raju R; Landry, Corey R; Abu-Laban, Mohammad; Hayes, Daniel J; Haber, Louis H

    2015-09-15

    Photoactivated drug delivery systems using gold nanoparticles provide the promise of spatiotemporal control of delivery that is crucial for applications ranging from regenerative medicine to cancer therapy. In this study, we use second harmonic generation (SHG) spectroscopy to monitor the light-activated controlled release of oligonucleotides from the surface of colloidal gold nanoparticles. MicroRNA is functionalized to spherical gold nanoparticles using a nitrobenzyl linker that undergoes photocleaving upon ultraviolet irradiation. The SHG signal generated from the colloidal nanoparticle sample is shown to be a sensitive probe for monitoring the photocleaving dynamics in real time. The photocleaving irradiation wavelength is scanned to show maximum efficiency on resonance at 365 nm, and the kinetics are investigated at varying irradiation powers to demonstrate that the nitrobenzyl photocleaving is a one-photon process. Additional characterization methods including electrophoretic mobility measurements, extinction spectroscopy, and fluorimetry are used to verify the SHG results, leading to a better understanding of the photocleaving dynamics for this model oligonucleotide therapeutic delivery system. PMID:26313536

  15. Next Generation * Natural Gas (NG)2 Information Requirements--Executive Summary

    EIA Publications

    2000-01-01

    The Energy Information Administration (EIA) has initiated the Next Generation * Natural Gas (NG)2 project to design and implement a new and comprehensive information program for natural gas to meet customer requirements in the post-2000 time frame.

  16. Information Theoretic Secret Key Generation: Structured Codes and Tree Packing

    ERIC Educational Resources Information Center

    Nitinawarat, Sirin

    2010-01-01

    This dissertation deals with a multiterminal source model for secret key generation by multiple network terminals with prior and privileged access to a set of correlated signals complemented by public discussion among themselves. Emphasis is placed on a characterization of secret key capacity, i.e., the largest rate of an achievable secret key,…

  17. New Generation System. "An Interstate Information Network Serving America's Children."

    ERIC Educational Resources Information Center

    Texas A and I Univ., Kingsville.

    The New Generation System (NGS) is a computer network developed to transfer academic records of migrant students. NGS was developed as a result of the phasing out of the Migrant Student Record Transfer System. NGS is backed by a 29-state consortium that uses the Internet to transfer records because of its speed, availability, and…

  18. Environmental monitoring using next generation sequencing: rapid identification of macroinvertebrate bioindicator species

    PubMed Central

    2013-01-01

    Introduction Invertebrate communities are central to many environmental monitoring programs. In freshwater ecosystems, aquatic macroinvertebrates are collected, identified and then used to infer ecosystem condition. Yet the key step of species identification is often not taken, as it requires a high level of taxonomic expertise, which is lacking in most organizations, or species cannot be identified as they are morphologically cryptic or represent little known groups. Identifying species using DNA sequences can overcome many of these issues; with the power of next generation sequencing (NGS), using DNA sequences for routine monitoring becomes feasible. Results In this study, we test if NGS can be used to identify species from field-collected samples in an important bioindicator group, the Chironomidae. We show that Cytochrome oxidase I (COI) and Cytochrome B (CytB) sequences provide accurate DNA barcodes for chironomid species. We then develop a NGS analysis pipeline to identifying species using megablast searches of high quality sequences generated using 454 pyrosequencing against comprehensive reference libraries of Sanger-sequenced voucher specimens. We find that 454 generated COI sequences successfully identified up to 96% of species in samples, but this increased up to 99% when combined with CytB sequences. Accurate identification depends on having at least five sequences for a species; below this level species not expected in samples were detected. Incorrect incorporation of some multiplex identifiers (MID’s) used to tag samples was a likely cause, and most errors could be detected when using MID tags on forward and reverse primers. We also found a strong quantitative relationship between the number of 454 sequences and individuals showing that it may be possible to estimate the abundance of species from 454 pyrosequencing data. Conclusions Next generation sequencing using two genes was successful for identifying chironomid species. However, when detecting

  19. Site specific monitoring of multiple information systems - the HappyFace Project

    NASA Astrophysics Data System (ADS)

    Büge, Volker; Mauch, Viktor; Quast, Günter; Scheurer, Armin; Trunov, Artem

    2010-04-01

    An efficient administration of computing centres requires sophisticated tools for the monitoring of the local infrastructure. Sharing such resources in a grid infrastructure, like the Worldwide LHC Computing Grid (WLCG), goes ahead with a large number of external monitoring systems, offering information on the status of the services and user jobs at a grid site. This huge flood of information from many different sources retards the identification of problems and complicates the local administration. In addition, the web interfaces for the access to the site specific information are often very slow and uncomfortable to use. A meta-monitoring system which automatically queries the different relevant monitoring systems could provide a fast and comfortable access to all important information for the local administration. It becomes also feasible to easily correlate information from different sources and provides an easy access also for non-expert users. In this paper, we describe the HappyFace Project, a modular software framework for such purpose. It queries existing monitoring sources and processes the results to provide a single point of entrance for information on a grid site and its specific services.

  20. 30 CFR 550.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... accompany the EP? 550.221 Section 550.221 Mineral Resources BUREAU OF OCEAN ENERGY MANAGEMENT, DEPARTMENT OF... Information Contents of Exploration Plans (ep) § 550.221 What environmental monitoring information must... the impacts of your exploration activities. (b) Incidental takes. If there is reason to believe...

  1. 30 CFR 550.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... accompany the EP? 550.221 Section 550.221 Mineral Resources BUREAU OF OCEAN ENERGY MANAGEMENT, DEPARTMENT OF... Information Contents of Exploration Plans (ep) § 550.221 What environmental monitoring information must... the impacts of your exploration activities. (b) Incidental takes. If there is reason to believe...

  2. 30 CFR 550.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... accompany the EP? 550.221 Section 550.221 Mineral Resources BUREAU OF OCEAN ENERGY MANAGEMENT, DEPARTMENT OF... Information Contents of Exploration Plans (ep) § 550.221 What environmental monitoring information must... the impacts of your exploration activities. (b) Incidental takes. If there is reason to believe...

  3. Monitoring Student Response to Mathematics Intervention: Using Data to Inform Tier 3 Intervention

    ERIC Educational Resources Information Center

    Ciullo, Stephen; SoRelle, Danielle; Kim, Sun A.; Seo, You-jin; Bryant, Brian R.

    2011-01-01

    This article describes types of progress-monitoring techniques that mathematics interventionists and special education teachers can implement in classrooms to make informed, data-driven decisions about early mathematics intervention. Although educators may be using some of these assessment types already to inform instruction, this article…

  4. A monolithic silicon based integrated signal generation and detection system for monitoring DNA hybridisation.

    PubMed

    Bertolino, Chiara; Macsweeney, Marion; Tobin, Jane; O'Neill, Brendan; Sheehan, Michelle M; Coluccia, Salvatore; Berney, Helen

    2005-10-15

    The aim of this work was to develop an integrated solution to DNA hybridisation monitoring for diagnostics on a monolithic silicon platform. A fabrication process was developed incorporating a gold initiation electrode patterned directly onto a PIN photodiode detector. Patterned interdigitated type electrodes exhibited the smallest reduction in photodiode sensitivity, therefore these were chosen as the ECL initiator design. A novel DNA hybridisation assay was developed based on the displacement of a partially mismatched complementary strand by a perfectly matched labelled complementary strand. Pre-hybridised thiolated oligonucleotide and unlabelled 25% mismatched oligonucleotide were assembled on the gold initiation electrode. On addition of the labelled perfectly complementary oligonucleotide, the mismatched strands were displaced and a signal was generated. The sensitivity of the photodiode to light emitted at 620 nm, the ruthenium emission wavelength, was determined and subsequently, the diode current response to light generated by flow addition of ruthenium solution was found to be measurable to a concentration of 10 fM. Pre-hybridised duplex DNA, consisting of thiolated oligonucleotide and ruthenium labelled complementary oligonucleotide, was assembled on the gold initiation electrode. The difference between the current measured during flow of buffer and the ECL co-reactant TPA was three orders of magnitude, indicating that DNA assembled on the surface comprised sufficient ruthenium to generate a measurable signal. Finally, the displacement of unlabelled partial mismatch oligonucleotide from the sensor surface was monitored on addition of the ruthenium labelled perfectly complementary oligonucleotide in TPA flow and the measured photodiode current response was up to 50 times greater. PMID:16202869

  5. Information Extraction and Dependency on Open Government Data (ogd) for Environmental Monitoring

    NASA Astrophysics Data System (ADS)

    Abdulmuttalib, Hussein

    2016-06-01

    Environmental monitoring practices support decision makers of different government / private institutions, besides environmentalists and planners among others. This support helps them act towards the sustainability of our environment, and also take efficient measures for protecting human beings in general, but it is difficult to explore useful information from 'OGD' and assure its quality for the purpose. On the other hand, Monitoring itself comprises detecting changes as happens, or within the mitigation period range, which means that any source of data, that is to be used for monitoring, should replicate the information related to the period of environmental monitoring, or otherwise it's considered almost useless or history. In this paper the assessment of information extraction and structuring from Open Government Data 'OGD', that can be useful to environmental monitoring is performed, looking into availability, usefulness to environmental monitoring of a certain type, checking its repetition period and dependences. The particular assessment is being performed on a small sample selected from OGD, bearing in mind the type of the environmental change monitored, such as the increase and concentrations of built up areas, and reduction of green areas, or monitoring the change of temperature in a specific area. The World Bank mentioned in its blog that Data is open if it satisfies both conditions of, being technically open, and legally open. The use of Open Data thus, is regulated by published terms of use, or an agreement which implies some conditions without violating the above mentioned two conditions. Within the scope of the paper I wish to share the experience of using some OGD for supporting an environmental monitoring work, that is performed to mitigate the production of carbon dioxide, by regulating energy consumption, and by properly designing the test area's landscapes, thus using Geodesign tactics, meanwhile wish to add to the results achieved by many

  6. A Mobile Multi-Agent Information System for Ubiquitous Fetal Monitoring

    PubMed Central

    Su, Chuan-Jun; Chu, Ta-Wei

    2014-01-01

    Electronic fetal monitoring (EFM) systems integrate many previously separate clinical activities related to fetal monitoring. Promoting the use of ubiquitous fetal monitoring services with real time status assessments requires a robust information platform equipped with an automatic diagnosis engine. This paper presents the design and development of a mobile multi-agent platform-based open information systems (IMAIS) with an automated diagnosis engine to support intensive and distributed ubiquitous fetal monitoring. The automatic diagnosis engine that we developed is capable of analyzing data in both traditional paper-based and digital formats. Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform—the Java Agent Development Environment (JADE). Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient’s everyday activities and without restricting her mobility. The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring. PMID:24452256

  7. Satellite, environmental, and medical information applied to epidemiological monitoring

    NASA Technical Reports Server (NTRS)

    Roberts, Donald R.; Legters, Llewellyn J.

    1991-01-01

    Improved communications and space-science technologies, such as remote sensing, offer hope of new, more holistic approaches to combating many arthropod-borne disease problems. The promise offered by these technologies has surfaced at a time when global and national efforts at disease control are in decline. Indeed, these programs seem to be losing ground against the arthropod-borne diseases just as rapidly as we seem to be moving forward in technological development. Given these circumstances, we can only hope that remote sensing and geographic information system (GIS) technologies can be pressed into service to help target the temporal and spatial application of control measures and to help in developing new control strategies.

  8. A New-Generation Continuous Glucose Monitoring System: Improved Accuracy and Reliability Compared with a Previous-Generation System

    PubMed Central

    Bailey, Timothy; Watkins, Elaine; Liljenquist, David; Price, David; Nakamura, Katherine; Boock, Robert; Peyser, Thomas

    2013-01-01

    Abstract Background Use of continuous glucose monitoring (CGM) systems can improve glycemic control, but widespread adoption of CGM utilization has been limited, in part because of real and perceived problems with accuracy and reliability. This study compared accuracy and performance metrics for a new-generation CGM system with those of a previous-generation device. Subjects and Methods Subjects were enrolled in a 7-day, open-label, multicenter pivotal study. Sensor readings were compared with venous YSI measurements (blood glucose analyzer from YSI Inc., Yellow Springs, OH) every 15 min (±5 min) during in-clinic visits. The aggregate and individual sensor accuracy and reliability of a new CGM system, the Dexcom® (San Diego, CA) G4™ PLATINUM (DG4P), were compared with those of the previous CGM system, the Dexcom SEVEN® PLUS (DSP). Results Both study design and subject characteristics were similar. The aggregate mean absolute relative difference (MARD) for DG4P was 13% compared with 16% for DSP (P<0.0001), and 82% of DG4P readings were within ±20 mg/dL (for YSI ≤80 mg/dL) or 20% of YSI values (for YSI >80 mg/dL) compared with 76% for DSP (P<0.001). Ninety percent of the DG4P sensors had an individual MARD ≤20% compared with only 76% of DSP sensors (P=0.015). Half of DG4P sensors had a MARD less than 12.5% compared with 14% for the DSP sensors (P=0.028). The mean absolute difference for biochemical hypoglycemia (YSI <70 mg/dL) for DG4P was 11 mg/dL compared with 16 mg/dL for DSP (P<0.001). Conclusions The performance of DG4P was significantly improved compared with that of DSP, which may increase routine clinical use of CGM and improve patient outcomes. PMID:23777402

  9. Designing the Monitoring of Water-Related Sustainable Development Goals Based on Value of Information

    NASA Astrophysics Data System (ADS)

    Chen, R. S.; Levy, M. A.; de Sherbinin, A. M.; Fischer, A.

    2015-12-01

    The proposed Sustainable Development Goals (SDGs) represent an unprecedented international commitment to collective action and targeted interventions at global, regional, and national scales. Existing monitoring and data infrastructures are inadequate for producing the variety of environmental and socioeconomic information needed to ensure efficient and effective outcomes across the range of interlinked SDGs and targets. The scientific community needs to take a lead in developing new tools and approaches that, at reasonable cost, provide monitoring data of sufficient quality and spatial and temporal coverage to support informed decision making by diverse stakeholders. The expanded SDGs related to water offer the opportunity to explore potential new monitoring approaches and data system architectures in a key sector, building on existing water monitoring capabilities and incorporating new technologies and methods. Since additional investments in monitoring will undoubtedly be limited, it is important to assess carefully the value of information produced by different options and their associated risks and tradeoffs. We review here the existing set of water monitoring systems, known gaps and limitations, stakeholder inputs on data needs, and the potential value of information in light of alternative water sector interventions. Of particular interest are opportunities to share investments in monitoring across sectors and stakeholders (e.g., public and private entities) and to identify where incremental improvements in water monitoring could have significant benefits for other SDGs (e.g., related to health, energy, agriculture, and climate change). Value of information is also driven by the numbers of people affected by decisions or able to take advantage of improved data, which implies the need not only to collect and archive data, but also to invest in making data accessible and usable to diverse and geographically dispersed users.

  10. Use of a Best Estimate Power Monitoring Tool to Maximize Power Plant Generation

    SciTech Connect

    Dziuba, Lindsey L.

    2006-07-01

    The Best Estimate Power Monitor (BEPM) is a tool that was developed to maximize nuclear power plant generation, while ensuring regulatory compliance in the face of venturi fouling, industry ultra-sonic flowmeter issues and other technical challenges. The BEPM uses ASME approved 'best estimate' methodology described in PTC 19.1-1985, 'Measurement Uncertainty', Section 3.8, 'Weighting Method'. The BEPM method utilizes many different and independent indicators of core thermal power and independently computes the core thermal power (CTP) from each parameter. The uncertainty of each measurement is used to weight the results of the best estimate computation of CTP such that those with lower uncertainties are weighted more heavily in the computed result. The independence of these measurements is used to minimize the uncertainty of the aggregate result, and the overall uncertainty can be much lower than the uncertainties of any of the individual measured parameters. Examples of the Balance of Plant parameters used in the BEPM are turbine first stage pressure, venturi feedwater flow, condensate flow, main steam flow, high pressure turbine exhaust pressure, low pressure turbine inlet pressure, the two highest pressure feedwater heater extraction pressures, and final feedwater temperature. The BEPM typically makes use of installed plant instrumentation that provide data to the plant computer. Therefore, little or no plant modification is required. In order to compute core thermal power from the independent indicators, a set of baseline data is used for comparison. These baseline conditions are taken from a day when confidence in the value of core thermal power is high (i.e., immediately post outage when venturi fouling is not an issue or from a formal tracer test). This provides the reference point on which to base the core thermal power calculations for each of the independent parameters. The BEPM is effective only at the upper end of the power range, where the independent

  11. Generating and Synthesizing Information about Risks in Unconventional Oil and Gas Development

    NASA Astrophysics Data System (ADS)

    Wiseman, H.

    2013-12-01

    site construction and disclosure of all chemicals used at the well site. Governments should also consider requiring air emissions (including methane) monitoring near well sites. Regardless of who conducts monitoring and testing, states and the federal government should agree on the parameters that would be tested for in all water and air quality samples, and they should require reporting in the same units to allow for cross-state comparison. Finally, we must synthesize data produced by industry or states and organize and summarize it in a manner that is understandable to scientists and non-scientists alike. The risks of unconventional oil and gas development are perhaps most easily understood when organized by the stage of well development, and for each stage, specific risks could be identified. The federal government is, once again, the most likely candidate to produce and synthesize this information. Although nonprofit groups, industry actors, and state government could also aid in this task, certain stakeholders might question whether these entities' motives influenced data summaries. Generating and synthesizing information about the technologies and risks involved in unconventional oil and gas development will not be easy, or cheap. But it will be important if we are to sail forward rapidly through waters that no other country has charted.

  12. Development of Field Information Monitoring System Based on the Internet of Things

    NASA Astrophysics Data System (ADS)

    Cai, Ken; Liang, Xiaoying; Wang, Keqiang

    With the rapid development and wide application of electronics, communication and embedded system technologies, the global agriculture is changing from traditional agriculture that is to improve the production relying on the increase of labor, agricultural inputs to the new stage of modern agriculture with low yields, high efficiency, real-time and accuracy. On the other hand the research and development of the Internet of Things, which is an information network to connect objects, with the full capacity to perceive objects, and having the capabilities of reliable transmission and intelligence processing for information, allows us to obtain real-time information of anything. The application of the Internet of Things in field information online monitoring is an effective solution for present wired sensor monitoring system, which has much more disadvantages, such as high cost, the problems of laying lines and so on. In this paper, a novel field information monitoring system based on the Internet of Things is proposed. It can satisfy the requirements of multi-point measurement, mobility, convenience in the field information monitoring process. The whole structure of system is given and the key designs of system design are described in the hardware and software aspect. The studies have expanded current field information measurement methods and strengthen the application of the Internet of Things.

  13. [Portable multi-purpose device for monitoring of physiological informations].

    PubMed

    Tamura, T; Togawa, T

    1983-05-01

    Unconstrained system that measures physiological information as skin temperatures and heart rate per unit time of a human subject was developed. The system contained portable device included memory control unit, instrumentation unit, timer and batteries, read-out unit, test unit and verify unit. Total number of data and channels, and interval were selected by switches in the memory control unit. The data from the instrumentation unit were transferred to memory control unit and stored in the Erasable Programmable ROM (EPROM). After measurement, EPROM chip was taken off the memory control unit and put on the read-out unit which transferred the data to the microcomputer. The data were directly calculated and analyzed by microcomputer. In application of the instrumentation unit, 8-channel skin thermometer was developed and tested. After amplification, 8 analog signals were multiplexed and converted into the binary codes. The digital signals were sequentially transferred to memory control unit and stored in the EPROM under controlled signal. The accuracy of the system is determined primarily by the accuracy of the sensor of instrumentation unit. The overall accuracy of 8-channel skin thermometer is conservatively stated within 0.1 degree C. This may prove to be useful in providing an objective measurement of human subjects, and can be used in studying environmental effect for human body and sport activities in a large population setting.

  14. Studying the information content of TMDs using Monte Carlo generators

    SciTech Connect

    Avakian, H.; Matevosyan, H.; Pasquini, B.; Schweitzer, P.

    2015-02-05

    Theoretical advances in studies of the nucleon structure have been spurred by recent measurements of spin and/or azimuthal asymmetries worldwide. One of the main challenges still remaining is the extraction of the parton distribution functions, generalized to describe transverse momentum and spatial distributions of partons from these observables with no or minimal model dependence. In this topical review we present the latest developments in the field with emphasis on requirements for Monte Carlo event generators, indispensable for studies of the complex 3D nucleon structure, and discuss examples of possible applications.

  15. Labeling bias and categorical induction: generative aspects of category information.

    PubMed

    Yamauchi, Takashi

    2005-05-01

    When a person is characterized categorically with a label (e.g., Linda is a feminist), people tend to think that the attributes associated with that person are central and long lasting (S. Gelman & G. D. Heyman, 1999). This bias, which is related to category-based induction and stereotyping, has been thought to arise because a category label (e.g., feminist) activates the dominant properties associated with the representation of the category. This explanation implies that categorical information influences inferential processes mainly by conjuring up main attributes or instances represented in the category. However, the present experiments reveal that this attribute-based explanation of induction does not provide a complete picture of inferential processes. The results from 3 experiments suggest that category information can affect inferences of attributes that are not directly related to the category, suggesting that categories not only activate likely attributes but also help integrate unlikely or even unrelated attributes.

  16. Web Information Systems for Monitoring and Control of Indoor Air Quality at Subway Stations

    NASA Astrophysics Data System (ADS)

    Choi, Gi Heung; Choi, Gi Sang; Jang, Joo Hyoung

    In crowded subway stations indoor air quality (IAQ) is a key factor for ensuring the safety, health and comfort of passengers. In this study, a framework for web-based information system in VDN environment for monitoring and control of IAQ in subway stations is suggested. Since physical variables that describing IAQ need to be closely monitored and controlled in multiple locations in subway stations, concept of distributed monitoring and control network using wireless media needs to be implemented. Connecting remote wireless sensor network and device (LonWorks) networks to the IP network based on the concept of VDN can provide a powerful, integrated, distributed monitoring and control performance, making a web-based information system possible.

  17. Mapping the information landscape: Discerning peaks and valleys for ecological monitoring

    USGS Publications Warehouse

    Moniz, L.J.; Nichols, J.D.; Nichols, J.M.

    2007-01-01

    We investigate previously unreported phenomena that have a potentially significant impact on the design of surveillance monitoring programs for ecological systems. Ecological monitoring practitioners have long recognized that different species are differentially informative of a system?s dynamics, as codified in the well-known concepts of indicator or keystone species. Using a novel combination of analysis techniques from nonlinear dynamics, we describe marked variation among spatial sites in information content with respect to system dynamics in the entire region. We first observed these phenomena in a spatially extended predator?prey model, but we observed strikingly similar features in verified water-level data from a NOAA/NOS Great Lakes monitoring program. We suggest that these features may be widespread and the design of surveillance monitoring programs should reflect knowledge of their existence.

  18. Ver-i-Fus: an integrated access control and information monitoring and management system

    NASA Astrophysics Data System (ADS)

    Thomopoulos, Stelios C.; Reisman, James G.; Papelis, Yiannis E.

    1997-01-01

    This paper describes the Ver-i-Fus Integrated Access Control and Information Monitoring and Management (IAC-I2M) system that INTELNET Inc. has developed. The Ver-i-Fus IAC-I2M system has been designed to meet the most stringent security and information monitoring requirements while allowing two- way communication between the user and the system. The systems offers a flexible interface that permits to integrate practically any sensing device, or combination of sensing devices, including a live-scan fingerprint reader, thus providing biometrics verification for enhanced security. Different configurations of the system provide solutions to different sets of access control problems. The re-configurable hardware interface, tied together with biometrics verification and a flexible interface that allows to integrate Ver-i-Fus with an MIS, provide an integrated solution to security, time and attendance, labor monitoring, production monitoring, and payroll applications.

  19. Secure authentication system that generates seed from biometric information.

    PubMed

    Kim, Yeojin; Ahn, Jung-Ho; Byun, Hyeran

    2005-02-10

    As biometric recognition techniques are gradually improved, the stability of biometric authentication systems are enhanced. Although bioinformation has properties that make it resistant to fraud, biometric authentication systems are not immune to hacking. We show a secure biometric authentication system (1) to guarantee the integrity of biometric information by mixing data by use of a biometric key and (2) to raise recognition rates by use of bimodal biometrics. PMID:15751854

  20. Automated Generation of Tabular Equations of State with Uncertainty Information

    NASA Astrophysics Data System (ADS)

    Carpenter, John H.; Robinson, Allen C.; Debusschere, Bert J.; Mattsson, Ann E.

    2015-06-01

    As computational science pushes toward higher fidelity prediction, understanding the uncertainty associated with closure models, such as the equation of state (EOS), has become a key focus. Traditional EOS development often involves a fair amount of art, where expert modelers may appear as magicians, providing what is felt to be the closest possible representation of the truth. Automation of the development process gives a means by which one may demystify the art of EOS, while simultaneously obtaining uncertainty information in a manner that is both quantifiable and reproducible. We describe our progress on the implementation of such a system to provide tabular EOS tables with uncertainty information to hydrocodes. Key challenges include encoding the artistic expert opinion into an algorithmic form and preserving the analytic models and uncertainty information in a manner that is both accurate and computationally efficient. Results are demonstrated on a multi-phase aluminum model. *Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  1. Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism

    DOE PAGESBeta

    Burr, Tom; Hamada, Michael S.; Howell, John; Skurikhin, Misha; Ticknor, Larry; Weaver, Brian

    2013-01-01

    Process monitoring (PM) for nuclear safeguards sometimes requires estimation of thresholds corresponding to small false alarm rates. Threshold estimation dates to the 1920s with the Shewhart control chart; however, because possible new roles for PM are being evaluated in nuclear safeguards, it is timely to consider modern model selection options in the context of threshold estimation. One of the possible new PM roles involves PM residuals, where a residual is defined as residual = data − prediction. This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals.more » Two PM examples from nuclear safeguards are included to motivate the need for alarm threshold estimation. The first example involves mixtures of probability distributions that arise in solution monitoring, which is a common type of PM. The second example involves periodic partial cleanout of in-process inventory, leading to challenging structure in the time series of PM residuals.« less

  2. Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding.

    PubMed

    Valentini, Alice; Taberlet, Pierre; Miaud, Claude; Civade, Raphaël; Herder, Jelger; Thomsen, Philip Francis; Bellemain, Eva; Besnard, Aurélien; Coissac, Eric; Boyer, Frédéric; Gaboriaud, Coline; Jean, Pauline; Poulet, Nicolas; Roset, Nicolas; Copp, Gordon H; Geniez, Philippe; Pont, Didier; Argillier, Christine; Baudoin, Jean-Marc; Peroux, Tiphaine; Crivelli, Alain J; Olivier, Anthony; Acqueberge, Manon; Le Brun, Matthieu; Møller, Peter R; Willerslev, Eske; Dejean, Tony

    2016-02-01

    Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present in the environment. In this study, we tested whether an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) vs. 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems. PMID:26479867

  3. Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding.

    PubMed

    Valentini, Alice; Taberlet, Pierre; Miaud, Claude; Civade, Raphaël; Herder, Jelger; Thomsen, Philip Francis; Bellemain, Eva; Besnard, Aurélien; Coissac, Eric; Boyer, Frédéric; Gaboriaud, Coline; Jean, Pauline; Poulet, Nicolas; Roset, Nicolas; Copp, Gordon H; Geniez, Philippe; Pont, Didier; Argillier, Christine; Baudoin, Jean-Marc; Peroux, Tiphaine; Crivelli, Alain J; Olivier, Anthony; Acqueberge, Manon; Le Brun, Matthieu; Møller, Peter R; Willerslev, Eske; Dejean, Tony

    2016-02-01

    Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present in the environment. In this study, we tested whether an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) vs. 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems.

  4. The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    NASA Astrophysics Data System (ADS)

    Piedrahita, R.; Xiang, Y.; Masson, N.; Ortega, J.; Collier, A.; Jiang, Y.; Li, K.; Dick, R.; Lv, Q.; Hannigan, M.; Shang, L.

    2014-03-01

    Advances in embedded systems and low-cost gas sensors are enabling a new wave of low cost air quality monitoring tools. Our team has been engaged in the development of low-cost wearable air quality monitors (M-Pods) using the Arduino platform. The M-Pods use commercially available metal oxide semiconductor (MOx) sensors to measure CO, O3, NO2, and total VOCs, and NDIR sensors to measure CO2. MOx sensors are low in cost and show high sensitivity near ambient levels; however they display non-linear output signals and have cross sensitivity effects. Thus, a quantification system was developed to convert the MOx sensor signals into concentrations. Two deployments were conducted at a regulatory monitoring station in Denver, Colorado. M-Pod concentrations were determined using laboratory calibration techniques and co-location calibrations, in which we place the M-Pods near regulatory monitors to then derive calibration function coefficients using the regulatory monitors as the standard. The form of the calibration function was derived based on laboratory experiments. We discuss various techniques used to estimate measurement uncertainties. A separate user study was also conducted to assess personal exposure and M-Pod reliability. In this study, 10 M-Pods were calibrated via co-location multiple times over 4 weeks and sensor drift was analyzed with the result being a calibration function that included drift. We found that co-location calibrations perform better than laboratory calibrations. Lab calibrations suffer from bias and difficulty in covering the necessary parameter space. During co-location calibrations, median standard errors ranged between 4.0-6.1 ppb for O3, 6.4-8.4 ppb for NO2, 0.28-0.44 ppm for CO, and 16.8 ppm for CO2. Median signal to noise (S/N) ratios for the M-Pod sensors were higher for M-Pods than the regulatory instruments: for NO2, 3.6 compared to 23.4; for O3, 1.4 compared to 1.6; for CO, 1.1 compared to 10.0; and for CO2, 42.2 compared to 300

  5. Informed decision making for in-home use of motion sensor-based monitoring technologies.

    PubMed

    Bruce, Courtenay R

    2012-06-01

    Motion sensor-based monitoring technologies are designed to maintain independence and safety of older individuals living alone. These technologies use motion sensors that are placed throughout older individuals' homes in order to derive information about eating, sleeping, and leaving/returning home habits. Deviations from normal behavioral patterns are detected using statistical analysis of activities of daily living. Sensors are linked to mobile devices and secure Web pages in order to transmit information to designated caregivers who live outside the home. It is difficult to make informed decisions about purchasing new technologies. This article describes elements for making informed decisions about purchasing motion sensor-based monitoring technologies and factors that could be used to evaluate these technologies. Case managers, physicians, nurses, and social workers may be asked to help older individuals and their families make informed purchasing decisions. Recommendations and practical tools are provided to best support these professionals in their dialog with older individuals and their families. PMID:22056959

  6. Liquid Effluent Monitoring Information System (LEMIS) test plans release 1.1

    SciTech Connect

    Adams, R.T.

    1994-09-08

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  7. Liquid Effluent Monitoring Information System test plans releases 2.0 and 3.0

    SciTech Connect

    Guettler, D.A.

    1995-05-26

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  8. Liquid Effluent Monitoring Information System (LEMIS) test plans release 1.0

    SciTech Connect

    Adams, R.T.

    1994-10-12

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  9. A Study of the Information Search Behaviour of the Millennial Generation

    ERIC Educational Resources Information Center

    Taylor, Arthur

    2012-01-01

    Introduction: Members of the millennial generation (born after 1982) have come of age in a society infused with technology and information. It is unclear how they determine the validity of information gathered, or whether or not validity is even a concern. Previous information search models based on mediated searches with different age groups may…

  10. Geochemical information and isotopic ratios in pinpointing the rates of contamination processes generated at mine sites

    NASA Astrophysics Data System (ADS)

    Turunen, Kaisa; Kittilä, Anniina; Backnäs, Soile; Pasanen, Antti; Hendriksson, Nina

    2015-04-01

    The isotopic composition of water is an important fingerprinting method for tracing recharge sources, distribution processes and possible hydraulic connections of mine waters. However, since, the isotopes alone do not indicate the contamination derived from mining activities; also a set of geochemical analysis of harmful substance in water is acquired. This complex approach will allow a detailed insight in migration of potentially harmful substances, their reactions, mixing and dilution in ground and surface waters. The data can be applied also when comparing geogenic and anthropogenic emissions. Isotopic methods are rather new approach to estimate mining related emissions in Finland and thus, a novel approach of isotopic methods for investigation and monitoring of migration of harmful substances from mine sites are tested in two mine sites in Finland. The aim of this study is to assess the emission sources, flow paths and interaction between mine waters, groundwater and surface waters. A set of isotopic data, including S, Li, Mg, U, Sr, Pb, O, and H, will be combined with chemical information and physical parameters of water in order to assess the source and extent of possible contamination as well as the rates of processes that generate or at best attenuate the contamination. The results obtained from water analyses and field measurements will be used in hydrogeochemical modelling for the prediction of chemical transformation and long-term impacts of mining at study site and its surroundings.

  11. Understanding Spatial and Temporal Variability in Ozone Levels within a Remote-sensing Scale Grid Cell using Data Collected with Low-cost, Next Generation Monitoring Systems

    NASA Astrophysics Data System (ADS)

    Collier, A. M.; Hannigan, M.; Masson, N.; Piedrahita, R.; Gordon, J. L.; Russel, M.

    2014-12-01

    For the past several years, our research group has been developing low-cost (for reference, each unit costs under $1000) next generation air quality monitors, which utilize metal-oxide semiconductor sensors and non-dispersive infrared sensors to collect data on various gaseous pollutants. The pollutants of focus for this deployment were CO2, O3, and NO2. Additional data collected by the monitors includes temperature, humidity, wind speed and direction, and some information on hydrocarbon levels. A main focus of our research has been sensor characterization and exploring research applications of the technology. During summer 2014, the DISCOVER-AQ and FRAPPE sampling campaigns provided our group with the opportunity to deploy twenty monitors throughout the sampling region with the Boulder Atmospheric Observatory Tower in Erie CO at the center of our monitoring area. Thirteen of these monitors were located at ground-level within an approximately 10 by 10 km grid cell, and the rest were outside of this area at various distances. This placement was intended to provide information on pollutant variability, specifically ozone, within a remote-sensing sized grid cell. Additionally, the availability of reference monitors in the field provided opportunities for co-location during the deployment and hence, opportunities to quantify monitor performance. Analysis will include both an evaluation of low-cost sensor performance and a look at temporal and spatial variability. For example, land-use regression modeling will be used to explore population density, distance to roadways, and distance to oil and gas activity as covariates. Additionally, we will explore how the spatial distribution varies with time and look for temporal patterns.

  12. [The Development of Information Centralization and Management Integration System for Monitors Based on Wireless Sensor Network].

    PubMed

    Xu, Xiu; Zhang, Honglei; Li, Yiming; Li, Bin

    2015-07-01

    Developed the information centralization and management integration system for monitors of different brands and models with wireless sensor network technologies such as wireless location and wireless communication, based on the existing wireless network. With adaptive implementation and low cost, the system which possesses the advantages of real-time, efficiency and elaboration is able to collect status and data of the monitors, locate the monitors, and provide services with web server, video server and locating server via local network. Using an intranet computer, the clinical and device management staffs can access the status and parameters of monitors. Applications of this system provide convenience and save human resource for clinical departments, as well as promote the efficiency, accuracy and elaboration for the device management. The successful achievement of this system provides solution for integrated and elaborated management of the mobile devices including ventilator and infusion pump. PMID:26665944

  13. Technical specification for transferring ambient air monitoring data to the Oak Ridge Environmental Information System (OREIS)

    SciTech Connect

    1995-06-01

    In September 1994, a team was formed to develop, document, and implement technical specifications for transmitting ambient air environmental compliance and monitoring data to the Oak Ridge Environmental Information System (OREIS). The approach used to transmit this data is documented in the {open_quotes}Plan for Integrating Environmental Compliance and Monitoring Data into OREIS.{close_quotes} This plan addresses the consolidated data requirements defined by the Federal Facility Agreement (FFA) and the Tennessee Oversight Agreement (TOA) as they pertain to environmental compliance and monitoring data maintained by Energy Systems` Oak Ridge Environmental Management organizations. Ibis document describes. the requirements, responsibilities, criteria, and format for transmitting ambient air compliance and monitoring data to OREIS.

  14. Optimal design of hydrometric monitoring networks with dynamic components based on Information Theory

    NASA Astrophysics Data System (ADS)

    Alfonso, Leonardo; Chacon, Juan; Solomatine, Dimitri

    2016-04-01

    The EC-FP7 WeSenseIt project proposes the development of a Citizen Observatory of Water, aiming at enhancing environmental monitoring and forecasting with the help of citizens equipped with low-cost sensors and personal devices such as smartphones and smart umbrellas. In this regard, Citizen Observatories may complement the limited data availability in terms of spatial and temporal density, which is of interest, among other areas, to improve hydraulic and hydrological models. At this point, the following question arises: how can citizens, who are part of a citizen observatory, be optimally guided so that the data they collect and send is useful to improve modelling and water management? This research proposes a new methodology to identify the optimal location and timing of potential observations coming from moving sensors of hydrological variables. The methodology is based on Information Theory, which has been widely used in hydrometric monitoring design [1-4]. In particular, the concepts of Joint Entropy, as a measure of the amount of information that is contained in a set of random variables, which, in our case, correspond to the time series of hydrological variables captured at given locations in a catchment. The methodology presented is a step forward in the state of the art because it solves the multiobjective optimisation problem of getting simultaneously the minimum number of informative and non-redundant sensors needed for a given time, so that the best configuration of monitoring sites is found at every particular moment in time. To this end, the existing algorithms have been improved to make them efficient. The method is applied to cases in The Netherlands, UK and Italy and proves to have a great potential to complement the existing in-situ monitoring networks. [1] Alfonso, L., A. Lobbrecht, and R. Price (2010a), Information theory-based approach for location of monitoring water level gauges in polders, Water Resour. Res., 46(3), W03528 [2] Alfonso, L., A

  15. Informed Decision Making for In-Home Use of Motion Sensor-Based Monitoring Technologies

    ERIC Educational Resources Information Center

    Bruce, Courtenay R.

    2012-01-01

    Motion sensor-based monitoring technologies are designed to maintain independence and safety of older individuals living alone. These technologies use motion sensors that are placed throughout older individuals' homes in order to derive information about eating, sleeping, and leaving/returning home habits. Deviations from normal behavioral…

  16. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration

    SciTech Connect

    Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

    2013-12-31

    This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based

  17. Improving Multi-Sensor Drought Monitoring, Prediction and Recovery Assessment Using Gravimetry Information

    NASA Astrophysics Data System (ADS)

    Aghakouchak, Amir; Tourian, Mohammad J.

    2015-04-01

    Development of reliable drought monitoring, prediction and recovery assessment tools are fundamental to water resources management. This presentation focuses on how gravimetry information can improve drought assessment. First, we provide an overview of the Global Integrated Drought Monitoring and Prediction System (GIDMaPS) which offers near real-time drought information using remote sensing observations and model simulations. Then, we present a framework for integration of satellite gravimetry information for improving drought prediction and recovery assessment. The input data include satellite-based and model-based precipitation, soil moisture estimates and equivalent water height. Previous studies show that drought assessment based on one single indicator may not be sufficient. For this reason, GIDMaPS provides drought information based on multiple drought indicators including Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSI) and the Multivariate Standardized Drought Index (MSDI) which combines SPI and SSI probabilistically. MSDI incorporates the meteorological and agricultural drought conditions and provides composite multi-index drought information for overall characterization of droughts. GIDMaPS includes a seasonal prediction component based on a statistical persistence-based approach. The prediction component of GIDMaPS provides the empirical probability of drought for different severity levels. In this presentation we present a new component in which the drought prediction information based on SPI, SSI and MSDI are conditioned on equivalent water height obtained from the Gravity Recovery and Climate Experiment (GRACE). Using a Bayesian approach, GRACE information is used to evaluate persistence of drought. Finally, the deficit equivalent water height based on GRACE is used for assessing drought recovery. In this presentation, both monitoring and prediction components of GIDMaPS will be discussed, and the results from 2014

  18. Cooperating Expert Systems for the Next Generation of Real-time Monitoring Applications

    NASA Technical Reports Server (NTRS)

    Schwuttke, U.; Veregge, J.; Quan, A.

    1995-01-01

    A distributed monitoring and diagnosis system has been developed and successfully applied to real-time monitoring of interplanetary spacecraft at NASA's Jet Propulsion Laboratory. This system uses a combination of conventional processing and artificial intelligence.

  19. The future role of next-generation DNA sequencing and metagenetics in aquatic biology monitoring programs

    EPA Science Inventory

    The development of current biological monitoring and bioassessment programs was a drastic improvement over previous programs created for monitoring a limited number of specific chemical pollutants. Although these assessment programs are better designed to address the transient an...

  20. Developments of next generation monitor and control systems for radio telescopes

    NASA Astrophysics Data System (ADS)

    Kodilkar, J.; Uprade, R.; Nayak, S.; Wadadekar, Y.; Chengalur, J.; Gupta, Y.

    2013-04-01

    As part of the ongoing upgrade of the GMRT observatory, the monitor and control (M&C) system is being upgraded to a modern specification driven system. The basic building block of the proposed M&C framework is a SACE node which provides command, response and event data streaming interfaces to the child and parent nodes running locally or remotely in a heterogeneous operating system environment. A prototype M&C system formed by hierarchically composing SACE nodes at different levels has been successfully tested at the GMRT. For the recently built 15m antenna at NCRA, a generic, web based M&C system has been developed which allows remote, authenticated operation. We discuss issues relevant to the development of the next generation M&C systems for radio telescopes using the lessons learned from these two systems. We also summarize flexible, reusable and cost-effective approaches using off the shelf packages and technologies used in generic frameworks, which can contribute to form the basis for M&C systems of very large radio telescopes like the SKA.

  1. Optimization of the information content of multitemporal Landsat TM data sets for monitoring forest cover disturbance

    NASA Technical Reports Server (NTRS)

    Coppin, Pol R.; Bauer, Marvin E.

    1992-01-01

    Procedures that were developed to optimize the information content of multitemporal thematic mapper (TM) data sets for forest cover disturbance monitoring in Minnesota are described. TM imagery from three different years was calibrated to exoatmospheric reflectance. An atmospheric correction routine was applied combining two major components, atmospheric normalization over time and transformation to ground reflectance. Atmospheric conditions were modeled over time using regression functions derived from five ground features known to be unchanged over the time interval of interest and spanning the entire image reflectance range. The correlation between digital data and the forest cover was subsequently maximized and irrelevant information content was reduced by converting the band-specific reflectances into seven vegetation indices that were assumed to carry unique information. The application of two change detection algorithms to these seven indices ultimately resulted in 14 change features for each time interval of interest. Results show that the preprocessing sequence is vital to forest cover monitoring methodology.

  2. A Model of First-Generation Latino/a College Students' Approach to Seeking Academic Information

    ERIC Educational Resources Information Center

    Torres, Vasti; Reiser, Al; LePeau, Lucy; Davis, Laura; Ruder, Jeffrey

    2006-01-01

    Using grounded theory methodology, we examined the experiences of first-generation Latino/a college students. Themes emerged in students' interactions with and perceptions of peers, advisors, and faculty members. A model derived from the data was developed to describe the unique ways first-generation Latino/a students sought information relating…

  3. Integration of drought monitoring with remote sensing into the global drought information system

    NASA Astrophysics Data System (ADS)

    Fan, Jinlong; Zhang, Mingwei; Cao, Guangzheng; Zhang, Xiaoyu; Wu, Jianjun

    2012-09-01

    Drought occurs everywhere in the world and is one of the costliest natural hazards. The Group on Earth Observations (GEO) has advocated implementing a Global Drought Early Warning System (GDEWS) since 2007. Various indices have been developed and used to depict drought. According to the survey, various drought monitoring system with remote sensing at regional, national or local level are existing, but the integration with the drought system based on the weather station data, in particular at the global level is still weak. However, the GEO Global Agricultural Monitoring Initiative was recognized by the G20 agricultural ministers and will enhance the linkage between GEO-GLAM and GDEWS. The capability for a component of drought monitoring with remote sensing is there in place. MODIS data have been used to globally track the distribution of crop failures due to droughts. In China, the Chinese meteorological satellite, FY is also ready to monitoring drought globally. MERSI onboard FY-3 is similar with MODIS and helpful to monitor the occurrence, development of drought at different scales. JRC MARS issues periodical bulletin on agricultural conditions. Agricultural Division of Statistics, Canada issues weekly crop condition reports. In India, the biweekly drought bulletin and monthly reports is issued under National Agricultural Drought Assessment and Monitoring System (NADAMS). Similar program is followed in many countries world-wide. The informed information of drought is helpful for governmental officials and formers to in advance prepare for coping with the likely coming drought. The global efforts should be in place to promote the global drought information system with a remote sensing drought component.

  4. Value of information analysis for groundwater quality monitoring network design Case study: Eocene Aquifer, Palestine

    NASA Astrophysics Data System (ADS)

    Khader, A.; McKee, M.

    2010-12-01

    Value of information (VOI) analysis evaluates the benefit of collecting additional information to reduce or eliminate uncertainty in a specific decision-making context. It makes explicit any expected potential losses from errors in decision making due to uncertainty and identifies the “best” information collection strategy as one that leads to the greatest expected net benefit to the decision-maker. This study investigates the willingness to pay for groundwater quality monitoring in the Eocene Aquifer, Palestine, which is an unconfined aquifer located in the northern part of the West Bank. The aquifer is being used by 128,000 Palestinians to fulfill domestic and agricultural demands. The study takes into account the consequences of pollution and the options the decision maker might face. Since nitrate is the major pollutant in the aquifer, the consequences of nitrate pollution were analyzed, which mainly consists of the possibility of methemoglobinemia (blue baby syndrome). In this case, the value of monitoring was compared to the costs of treating for methemoglobinemia or the costs of other options like water treatment, using bottled water or importing water from outside the aquifer. And finally, an optimal monitoring network that takes into account the uncertainties in recharge (climate), aquifer properties (hydraulic conductivity), pollutant chemical reaction (decay factor), and the value of monitoring is designed by utilizing a sparse Bayesian modeling algorithm called a relevance vector machine.

  5. TPM: cloud-based tele-PTSD monitor using multi-dimensional information.

    PubMed

    Xu, Roger; Mei, Gang; Zhang, Guangfan; Gao, Pan; Pepe, Aaron; Li, Jiang

    2013-01-01

    An automated system that can remotely and non-intrusively screen individuals at high risk for Post-Traumatic Stress Disorder (PTSD) and monitor their progress during treatment would be desired by many Veterans Affairs (VAs) as well as other PTSD treatment and research organizations. In this paper, we present an automated, cloud-based Tele-PTSD Monitor (TPM) system based on the fusion of multiple sources of information. The TPM system can be hosted in a cloud environment and accessed through landline or cell phones, or on the Internet through a web portal or mobile application (app).

  6. Indicators and protocols for monitoring impacts of formal and informal trails in protected areas

    USGS Publications Warehouse

    Marion, Jeffrey L.; Leung, Yu-Fai

    2011-01-01

    Trails are a common recreation infrastructure in protected areas and their conditions affect the quality of natural resources and visitor experiences. Various trail impact indicators and assessment protocols have been developed in support of monitoring programs, which are often used for management decision-making or as part of visitor capacity management frameworks. This paper reviews common indicators and assessment protocols for three types of trails, surfaced formal trails, unsurfaced formal trails, and informal (visitor-created) trails. Monitoring methods and selected data from three U.S. National Park Service units are presented to illustrate some common trail impact indicators and assessment options.

  7. Integrating hydrograph modeling with real-time flow monitoring to generate hydrograph-specific sampling schemes

    NASA Astrophysics Data System (ADS)

    Gall, Heather E.; Jafvert, Chad T.; Jenkinson, Byron

    2010-11-01

    Automated sample collection for water quality research and evaluation generally is performed by simple time-paced or flow-weighted sampling protocols. However, samples collected on strict time-paced or flow-weighted schemes may not adequately capture all elements of storm event hydrographs (i.e., rise, peak, and recession). This can result in inadequate information for calculating chemical mass flux over storm events. In this research, an algorithm was developed to guide automated sampling of hydrographs based on storm-specific information. A key element of the new "hydrograph-specific sampling scheme" is the use of a hydrograph recession model for predicting the hydrograph recession curve, during which flow-paced intervals are calculated for scheduling the remaining samples. The algorithm was tested at a tile drained Midwest agricultural site where real-time flow data were processed by a programmable datalogger that in turn activated an automated sampler at the appropriate sampling times to collect a total of twenty samples during each storm event independent of the number of sequential hydrographs generated. The utility of the algorithm was successfully tested with hydrograph data collected at both a tile drain and agricultural ditch, suggesting the potential for general applicability of the method. This sampling methodology is flexible in that the logic can be adapted for use with any hydrograph recession model; however, in this case a power law equation proved to be the most practical model.

  8. Subsurface hydrological information in rock-slide phenomena from groundwater spring monitoring.

    NASA Astrophysics Data System (ADS)

    Rochetti, Francesco; Corsini, Alessandro; Deiana, Manuela; Loche, Roberto; Mulas, Marco; Russo, Michele

    2016-04-01

    Frequently rock-slide phenomena are characterized by rough topography and high declivity of the slope. Due to these characteristics, the drilling of boreholes is not so common and in some circumstance expensive. Consequently, the exact information about depth of the sliding surface and about groundwater processes, groundwater levels or pore water pressure distribution are missing. Alternately, some information about the groundwater can be obtained from the physical-chemical monitoring of springs. The research highlights preliminary results, about the groundwater processes, obtained from the continuous flow-rate monitoring of a spring located in the active Piagneto rock-slide (northern Apennine). The spring has been monitored from Sept-2014 until Oct-2015 using a piezometer transducer (sampling frequency 1 h) and a triangular weir. The landslide was monitored in continuous since the 2009 using an automatic total station and some reflectors. The monitoring of the rock-slide displacements showed creep phenomena in the summer and acceleration phases from autumn to late spring, during periods characterized by high rainfall intensity; rainfall with intensity higher than 10 mm/d and duration less than 15 days can produce the acceleration of the sliding mass. Before 2014 any information about groundwater was collected. The successively spring monitoring shows the follow results: the spring flow rate is strongly variable in the time; only some rainfall events, with particular intensity and duration (generally total amount higher than 100 mm), are responsible of strong changes in the flow rate, and the flow rate starts to increase only after some hours; the snow melting events, also when there is a fast reduction of the snow thickness, don't produce high variation in the flow rate discharge; there is a strong correlation between the flow rate peaks and the rock-slide acceleration; an infiltration coefficient higher than 70% is estimated through the comparison between the

  9. Excimer laser fragmentation fluorescence spectroscopy for real-time monitoring of combustion generated pollutants

    NASA Astrophysics Data System (ADS)

    Damm, Christopher John

    Toxic pollutant emissions from combustion pose a hazard to public and environmental health. Better diagnostic techniques would benefit emissions monitoring programs and aid research aimed at understanding toxic pollutant formation and behavior. Excimer Laser Fragmentation Fluorescence Spectroscopy (ELFFS) provides sensitive, real-time, in situ measurements of several important combustion related pollutants. This thesis demonstrates the capabilities of ELFFS for detecting amines in combustion exhausts and carbonaceous particulate matter from engines. ELFFS photofragments target species using a 193 nm excimer laser to form fluorescent signature species. The NH (A--X) band at 336 nm is used to monitor ammonia, ammonium nitrate and ammonium sulfate. There are no major interferences in this spectral region. The sensitivity is approximately 100 ppb (1 second measurement) for ammonia in post flame gases and 100 ppb (mole fraction) for ammonium nitrate/sulfate in ambient air. Quenching of NH by the major combustion products does not limit the applicability of the detection method. Fluorescence from excited carbon atoms at 248 nm (1P 0 → 1S0) following photofragmentation measures particulate matter in a two-stroke gasoline engine and a four-stroke diesel engine. Fluorescence from CH (A2Delta → X 2pi, 431 nm) C2 (d3pig → a3piu, 468 nm) fragments is also observed. The atomic carbon fluorescence signal is proportional to the mass concentration of particles in the laser interrogation region. The 100-shot (1 second) detection limit for particles in the two-stroke gasoline engine exhaust is 0.5 ppb (volume fraction). The 100-shot detection limit for four-stroke diesel particulate matter is 0.2 ppb. Interferences from carbon monoxide and carbon dioxide are negligible. The ratios of atomic carbon, C2, and CH peaks provide information on the molecular forms of compounds condensed on or contained within the particles measured. The C/C2 signal ratio can be used to distinguish

  10. Next-Generation Psychiatric Assessment: Using Smartphone Sensors to Monitor Behavior and Mental Health

    PubMed Central

    Ben-Zeev, Dror; Scherer, Emily A.; Wang, Rui; Xie, Haiyi; Campbell, Andrew T.

    2015-01-01

    Objective Optimal mental health care is dependent upon sensitive and early detection of mental health problems. The current study introduces a state-of-the-art method for remote behavioral monitoring that transports assessment out of the clinic and into the environments in which individuals negotiate their daily lives. The objective of this study was examine whether the information captured with multi-modal smartphone sensors can serve as behavioral markers for one’s mental health. We hypothesized that: a) unobtrusively collected smartphone sensor data would be associated with individuals’ daily levels of stress, and b) sensor data would be associated with changes in depression, stress, and subjective loneliness over time. Methods A total of 47 young adults (age range: 19–30 y.o.) were recruited for the study. Individuals were enrolled as a single cohort and participated in the study over a 10-week period. Participants were provided with smartphones embedded with a range of sensors and software that enabled continuous tracking of their geospatial activity (using GPS and WiFi), kinesthetic activity (using multi-axial accelerometers), sleep duration (modeled using device use data, accelerometer inferences, ambient sound features, and ambient light levels), and time spent proximal to human speech (i.e., speech duration using microphone and speech detection algorithms). Participants completed daily ratings of stress, as well as pre/post measures of depression (Patient Health Questionnaire-9), stress (Perceived Stress Scale), and loneliness (Revised UCLA Loneliness Scale). Results Mixed-effects linear modeling showed that sensor-derived geospatial activity (p<.05), sleep duration (p<.05), and variability in geospatial activity (p<.05), were associated with daily stress levels. Penalized functional regression showed associations between changes in depression and sensor-derived speech duration (p<.05), geospatial activity (p<.05), and sleep duration (p<.05). Changes

  11. Continuous safety monitoring for randomized controlled clinical trials with blinded treatment information. Part 3: Design considerations.

    PubMed

    Ball, Greg; Silverman, Michael H

    2011-09-01

    Ongoing safety monitoring of clinical trials of investigational treatments must operate at levels that range from the minute and detailed - namely, mathematical treatment of trial data - to the philosophical and societal - namely, ethical concerns for individuals and populations. Between those two poles lies a realm of environmental and pragmatic considerations that reflect the goals, biases, risk-tolerance, and constraints of study sponsors and organizers. These factors, while more difficult to quantify or, at times, to justify, also have a meaningful impact on the approach to safety monitoring and the resulting actions and outcomes. This paper considers the influence and interaction of two such factors, study design and statistical framework, on continuous safety monitoring procedures. Group sequential designs have been generally preferred for clinical trials over continuous sequential designs because of practical considerations. The group means and greater time for deliberation when using a group sequential procedure, as opposed to a continuous sequential procedure, can improve the quality of the analyses with minimal loss in sensitivity. However, undertaking any sequential analysis within a frequentist framework provokes considerable theoretical and practical difficulties. Continuous monitoring with a likelihood based method, on the other hand, has the advantages that all available information, including new data, can be used; sample sizes need not be fixed; and decisions can be made at any time without statistical penalty, irrespective of trial design. Such responsive statistical rules are needed to provide guidance to the human beings charged with trial monitoring.

  12. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring.

    PubMed

    Sun, Li; Wong, Ka Chun; Wei, Peng; Ye, Sheng; Huang, Hao; Yang, Fenhuan; Westerdahl, Dane; Louie, Peter K K; Luk, Connie W Y; Ning, Zhi

    2016-01-01

    This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO) and nitrogen dioxide (NO2) pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI) for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring.

  13. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring.

    PubMed

    Sun, Li; Wong, Ka Chun; Wei, Peng; Ye, Sheng; Huang, Hao; Yang, Fenhuan; Westerdahl, Dane; Louie, Peter K K; Luk, Connie W Y; Ning, Zhi

    2016-01-01

    This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO) and nitrogen dioxide (NO2) pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI) for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring. PMID:26861336

  14. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring

    PubMed Central

    Sun, Li; Wong, Ka Chun; Wei, Peng; Ye, Sheng; Huang, Hao; Yang, Fenhuan; Westerdahl, Dane; Louie, Peter K.K.; Luk, Connie W.Y.; Ning, Zhi

    2016-01-01

    This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO) and nitrogen dioxide (NO2) pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI) for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring. PMID:26861336

  15. Balancing autonomy and responsibility: the ethics of generating and disclosing genetic information.

    PubMed

    Hallowell, N; Foster, C; Eeles, R; Ardern-Jones, A; Murday, V; Watson, M

    2003-04-01

    Using data obtained during a retrospective interview study of 30 women who had undergone genetic testing-BRCA1/2 mutation searching-this paper describes how women, previously diagnosed with breast/ovarian cancer, perceive their role in generating genetic information about themselves and their families. It observes that when describing their motivations for undergoing DNA testing and their experiences of disclosing genetic information within the family these women provide care based ethical justifications for their actions. Finally, it argues that generating genetic information and disclosing this information to kin raise different types of ethical issues. The implications of these findings for ethical debates about informed choice in the context of genetic testing are discussed.

  16. Monitoring the chemistry and materials of the Magma binary-cycle generating plant

    SciTech Connect

    Shannon, D.W.; Elmore, R.P.; Pierce, D.D.

    1981-10-01

    This monitoring program includes studies of the following areas: chemistry of the geothermal brine, chemistry of the cooling water, corrosion of materials in both water systems, scale formation, suspended solids in th brine, and methods and instruments to monitor corrosion and chemistry. (MHR)

  17. Combining qualitative and quantitative spatial and temporal information in a hierarchical structure: Approximate reasoning for plan execution monitoring

    NASA Technical Reports Server (NTRS)

    Hoebel, Louis J.

    1993-01-01

    The problem of plan generation (PG) and the problem of plan execution monitoring (PEM), including updating, queries, and resource-bounded replanning, have different reasoning and representation requirements. PEM requires the integration of qualitative and quantitative information. PEM is the receiving of data about the world in which a plan or agent is executing. The problem is to quickly determine the relevance of the data, the consistency of the data with respect to the expected effects, and if execution should continue. Only spatial and temporal aspects of the plan are addressed for relevance in this work. Current temporal reasoning systems are deficient in computational aspects or expressiveness. This work presents a hybrid qualitative and quantitative system that is fully expressive in its assertion language while offering certain computational efficiencies. In order to proceed, methods incorporating approximate reasoning using hierarchies, notions of locality, constraint expansion, and absolute parameters need be used and are shown to be useful for the anytime nature of PEM.

  18. Brainstorming Design for Health: Helping Patients Utilize Patient-Generated Information on the Web

    PubMed Central

    Huh, Jina; Hartzler, Andrea; Munson, Sean; Anderson, Nick; Edwards, Kelly; Gore, John L.; McDonald, David; O’Leary, Jim; Parker, Andrea; Streat, Derek; Yetisgen-Yildiz, Meliha; Pratt, Wanda; Ackerman, Mark S.

    2013-01-01

    Researchers and practitioners show increasing sinterest in utilizing patient-generated information on the Web. Although the HCI and CSCW communities have provided many exciting opportunities for exploring new ideas and building broad agenda in health, few venues offer a platform for interdisciplinary and collaborative brainstorming about design challenges and opportunities in this space. The goal of this workshop is to provide participants with opportunities to interact with stakeholders from diverse backgrounds and practices—researchers, practitioners, designers, programmers, and ethnographers—and together generate tangible design outcomes that utilize patient-generated information on the Web. Through small multidisciplinary group work, we will provide participants with new collaboration opportunities, understanding of the state of the art, inspiration for future work, and ideally avenues for continuing to develop research and design ideas generated at the workshop. PMID:24499843

  19. Brainstorming Design for Health: Helping Patients Utilize Patient-Generated Information on the Web.

    PubMed

    Huh, Jina; Hartzler, Andrea; Munson, Sean; Anderson, Nick; Edwards, Kelly; Gore, John L; McDonald, David; O'Leary, Jim; Parker, Andrea; Streat, Derek; Yetisgen-Yildiz, Meliha; Pratt, Wanda; Ackerman, Mark S

    2012-01-01

    Researchers and practitioners show increasing sinterest in utilizing patient-generated information on the Web. Although the HCI and CSCW communities have provided many exciting opportunities for exploring new ideas and building broad agenda in health, few venues offer a platform for interdisciplinary and collaborative brainstorming about design challenges and opportunities in this space. The goal of this workshop is to provide participants with opportunities to interact with stakeholders from diverse backgrounds and practices-researchers, practitioners, designers, programmers, and ethnographers-and together generate tangible design outcomes that utilize patient-generated information on the Web. Through small multidisciplinary group work, we will provide participants with new collaboration opportunities, understanding of the state of the art, inspiration for future work, and ideally avenues for continuing to develop research and design ideas generated at the workshop.

  20. Monitoring small land subsidence phenomena in the Marmara see region by new SAR generation satellite ESA Sentinel 1

    NASA Astrophysics Data System (ADS)

    Cantone, Alessio; Riccardi, Paolo; Pasquali, Paolo; Defilippi, Marco; Peternier, Achille

    2015-04-01

    The Marmara see region is a large and dense urbanized area affected by tectonics deformations due to the presence of the underlying North Anatolia Fault. This area is affected by strong seismic phenomena (Izmith and Duzce earthquake), and by landslide and small surface deformation. The new generation ESA SAR satellites Copernicus Sentinel-1 system TOPS (Terrain Observation with Progressive Scans in azimuth) permit a short acquisition repetition cycle, an extreme large coverage, a high spatial resolution to respect the covered area and a small baseline separation. All of those characteristics suggest an intensive exploitation of these data through the usage of the interferometry technology and in particular the stacking interferometry for the small terrain displacement monitoring. The Sentinel-1 mission is made up of a constellation of two satellites (A and B units) each carrying a C-band SAR sensor. The objective of the S-1 mission is to acquire systematically with a 12-day repeat orbit cycle for each satellite with a small orbital baselines, characteristics particularly suited for interferometry application. In the near future, when both satellites will be active, there will be an acquisition every 6 days, covering the whole area. The first TOPSAR interferogram has been successfully produced, and the SARScape® stacking processing chains (SBAS and PSI) have been update to support this new sensor. The SBAS (Small Baseline) technique seems to be the best candidate for this application relatively to the morphology and large extension of Marmara region. Moreover the new incremental SBAS will permit a velocity map (at about 25 meters spatial resolution) estimation at near real time at each Sentinel-1 acquisition. We are collecting imaging over the Marmara since October 2014 within the framework of European FP7 Marsite project. In February-March 2015 we will have enough acquisition to perform the first SBAS TOPSAR monitoring of this area. The SBAS processing chain has

  1. Persistence of cell division synchrony in Spirogyra insignis (Gamophyceae): membrane proteoglycans transmitting synchronizing information throughout generations.

    PubMed

    Costas, E; Lopez Rodas, V

    1991-01-01

    Spirogyra insignis shows a long-term persistence of cell division synchrony in the absence of the synchronizing Zeitgeber, so that at least six generations are involved in the process. This tentatively suggests that a mechanism of transmission throughout generations of synchronizing information could maintain this synchrony. Apparently, a vital part of the molecular basis of this mechanism is a membrane proteoglycan complex. This complex could obtain temporal information from a synchronizing Zeitgeber and be transmitted to the progeny by distribution of plasma membrane between daughter cells.

  2. Integrating Genome-based Informatics to Modernize Global Disease Monitoring, Information Sharing, and Response

    PubMed Central

    Brown, Eric W.; Detter, Chris; Gerner-Smidt, Peter; Gilmour, Matthew W.; Harmsen, Dag; Hendriksen, Rene S.; Hewson, Roger; Heymann, David L.; Johansson, Karin; Ijaz, Kashef; Keim, Paul S.; Koopmans, Marion; Kroneman, Annelies; Wong, Danilo Lo Fo; Lund, Ole; Palm, Daniel; Sawanpanyalert, Pathom; Sobel, Jeremy; Schlundt, Jørgen

    2012-01-01

    The rapid advancement of genome technologies holds great promise for improving the quality and speed of clinical and public health laboratory investigations and for decreasing their cost. The latest generation of genome DNA sequencers can provide highly detailed and robust information on disease-causing microbes, and in the near future these technologies will be suitable for routine use in national, regional, and global public health laboratories. With additional improvements in instrumentation, these next- or third-generation sequencers are likely to replace conventional culture-based and molecular typing methods to provide point-of-care clinical diagnosis and other essential information for quicker and better treatment of patients. Provided there is free-sharing of information by all clinical and public health laboratories, these genomic tools could spawn a global system of linked databases of pathogen genomes that would ensure more efficient detection, prevention, and control of endemic, emerging, and other infectious disease outbreaks worldwide. PMID:23092707

  3. Toward the next generation of air quality monitoring: Persistent organic pollutants

    NASA Astrophysics Data System (ADS)

    Hung, Hayley; MacLeod, Matthew; Guardans, Ramon; Scheringer, Martin; Barra, Ricardo; Harner, Tom; Zhang, Gan

    2013-12-01

    Persistent Organic Pollutants (POPs) are global pollutants that can migrate over long distances and bioaccumulate through food webs, posing health risks to wildlife and humans. Multilateral environmental agreements, such as the Stockholm Convention on POPs, were enacted to identify POPs and establish the conditions to control their release, production and use. A Global Monitoring Plan was initiated under the Stockholm Convention calling for POP monitoring in air as a core medium; however long temporal trends (>10 years) of atmospheric POPs are only available at a few selected sites. Spatial coverage of air monitoring for POPs has recently significantly improved with the introduction and advancement of passive air samplers. Here, we review the status of air monitoring and modeling activities and note major uncertainties in data comparability, deficiencies of air monitoring and modeling in urban and alpine areas, and lack of emission inventories for most POPs. A vision for an internationally-integrated strategic monitoring plan is proposed which could provide consistent and comparable monitoring data for POPs supported and supplemented by global and regional transport models. Key recommendations include developing expertise in all aspects of air monitoring to ensure data comparability and consistency; partnering with existing air quality and meteorological networks to leverage synergies; facilitating data sharing with international data archives; and expanding spatial coverage with passive air samplers. Enhancing research on the stability of particle-bound chemicals is needed to assess exposure and deposition in urban areas, and to elucidate long-range transport. Conducting targeted measurement campaigns in specific source areas would enhance regional models which can be extrapolated to similar regions to estimate emissions. Ultimately, reverse-modeling combined with air measurements can be used to derive “emission” as an indicator to assess environmental

  4. Separation Monitoring with Four Types of Predictors on a Cockpit Display of Traffic Information

    NASA Technical Reports Server (NTRS)

    Jago, S.; Palmer, E.

    1982-01-01

    A clear and concise display format for use in later full mission simulator evaluation of the cockpit display of traffic information (CDTI) concept was studied. This experiment required airline pilots to monitor a CDTI and make perceptual judgments concerning the future position of a single intruder aircraft in relationship to their own aircraft (ownship). The main experimental variable was the type of predictor used to display future position of each aircraft. Predictors were referenced to the ground or to ownship and they either included turn rate information or did not. Other variables were the aircraft's separation distance when the judgment was required and the type of encounter (straight or turning). Results indicate that under these experimental conditions fewer errors were made when the predictor included turn rate information. There was little difference in overall error rate for the curved ground referenced and the ownship referenced predictors.

  5. PHYSIOLOGICAL INFORMATION FOR PAVEMENT HEALTH MONITORING BASED ON SURFACE RIDE QUALITY

    NASA Astrophysics Data System (ADS)

    Tomiyama, Kazuya; Kawamura, Akira; Takahashi, Kiyoshi; Ishida, Tateki

    Pavement ride quality testing has traditionally been based on subjective questionnaire ratings. The questionnaire survey has ability to directly measure the sense of road users' ride quality. However, it is difficult to quantify the evaluation results based on the questionnaire due to its lack of objectivity. This study examines pavement health monitoring method using physiological information such as heart rate variability (HRV) for detecting mental stress of road users toward pavement ride quality. First, a results of a driving simulator experiment shows that potential mental stress caused by road roughness can be observed in high-frequency oscillations in 0.15-0.4Hz of HRV processed by continuous wavelet transform. Then, the high-frequency oscillations of HRV is summarized as an index related to the mental stress that makes objective ride quality evaluation possible. Finally, this study indicates that the index contributes to improve the accuracy of pavement health monitoring based on surface ride quality.

  6. A Compact Monitoring System for Recording X-Rays, Gamma Rays and Neutrons Generated By Atmospheric Lightning Discharges and Other Natural Phenomena

    NASA Astrophysics Data System (ADS)

    Martin, I. M.; Alves, M. A.

    2009-12-01

    The generation of X-rays, gamma-rays and neutrons by atmospheric lightning discharges has been predicted by different researchers several decades ago. But only within the last 25 years the first experimental evidences of events relating the generation of these radiations with lightning have been made; since then there is a continuing effort to collect more information about this type of phenomenon. In this study we describe a compact monitoring system to detect simultaneously X-rays, gamma-rays and neutrons using rather inexpensive off-the-shelf commercial detectors (Micro Roengten Radiation Monitor, 8-inch gamma tube coupled to a 3x3 inch sodium iodide [Nai(Tl)] crystal, Ludlum He-3 neutron detector) and accompanying computer interfaces. The system is extremely portable and can be powered with small automotive batteries, if necessary. Measurements are performed at ground-level. Preliminary measurements have already yielded positive results, e.g., changes in the neutron flux related to a lightning discharge and varying weather conditions have been observed in the city of Sao Jose dos Campos, Brazil (23° 11‧ 11″S, 45° 52‧ 43″ W, 600 m above sea level). This a pilot study, in the near future a larger number of these compact monitoring system will be installed in different location in order to increase the area coverage. Although the main objective of the study is to detect high-energy events produced by lightning discharges, the monitoring system will also be able to detect changes in the radiation background produced by other natural phenomena.

  7. Citizen Science & MPA Monitoring: Informing adaptive management through enriched local knowledge systems

    NASA Astrophysics Data System (ADS)

    Meyer, R.; Freitag, A.; McGregor, A.; Whiteman, E.

    2013-12-01

    Along the California coast, a wealth of capacity exists among individuals, groups and organizations collecting scientific data. This citizen science can take many forms, from spontaneous observations of seabirds to organized surveys of nearshore reefs. Yet, as is often the case, state resource managers have struggled to find ways to access and use this scientific information in decision-making. A unique opportunity exists to alter this status-quo. California has the largest network of marine protected areas (MPAs) in the nation with more than 100 MPAs statewide. Monitoring is essential to inform adaptive management of this network. Traditionally, MPA monitoring has been the purview of academic or agency scientists. Yet, there is increasing recognition that this approach, while playing an important role, is unlikely by itself to provide a sustainable path forward. An opportunity therefore exists to understand how to sustainably and cost-effectively expand the capacity or human capital invested in monitoring and ocean stewardship. In this presentation we will share our collaborative approach to development of a new framework for incorporating citizen science into a partnerships-based portfolio of MPA monitoring in California. We will present initial findings and lessons learned from a broad review of published and gray literature, as well as reflections from interviews and participant observations with citizen science groups in the Central Coast region of California's MPA network. Through research, engagement with existing citizen science programs, and involvement of natural resource managers, we are identifying general best practices and specific opportunities for these groups to collaborate effectively, and for citizen science to play a constructive ongoing role in adaptive management of MPAs.

  8. Thinking with Images: An Exploration into Information Retrieval and Knowledge Generation.

    ERIC Educational Resources Information Center

    Weedman, Judith

    2002-01-01

    Explored how images were used in a social science research project and analyzed the use of verbs to identify three functions that images fill. Argues that the separation between finding documents and using them is artificial, and explores the use of image documents to help integrate information retrieval more closely with knowledge generation.…

  9. Managing, Understanding, Applying, and Creating Knowledge in the Information Age: Next-Generation Challenges and Opportunities

    ERIC Educational Resources Information Center

    Goldman, Susan R.; Scardamalia, Marlene

    2013-01-01

    New media, new knowledge practices, and concepts point to the need for greater understanding of cognitive processes underlying knowledge acquisition and generation in open informational worlds. The authors of the articles in this special issue address cognitive and instructional challenges surrounding multiple document comprehension--a…

  10. A Technical Evaluation of Wireless Connectivity from Patient Monitors to an Anesthesia Information Management System During Intensive Care Unit Surgery.

    PubMed

    Simpao, Allan F; Galvez, Jorge A; England, W Randall; Wartman, Elicia C; Scott, James H; Hamid, Michael M; Rehman, Mohamed A; Epstein, Richard H

    2016-02-01

    Surgical procedures performed at the bedside in the neonatal intensive care unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures.

  11. A Technical Evaluation of Wireless Connectivity from Patient Monitors to an Anesthesia Information Management System During Intensive Care Unit Surgery.

    PubMed

    Simpao, Allan F; Galvez, Jorge A; England, W Randall; Wartman, Elicia C; Scott, James H; Hamid, Michael M; Rehman, Mohamed A; Epstein, Richard H

    2016-02-01

    Surgical procedures performed at the bedside in the neonatal intensive care unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures. PMID:26797553

  12. An integrated climate service strategy for African drought monitoring and prediction: linking information to action

    NASA Astrophysics Data System (ADS)

    Funk, C.; Verdin, J. P.; Rowland, J.; Budde, M.

    2008-12-01

    For 23 years, the US Agency for International Development's Famine Early Warning Systems Network (FEWS NET) has applied climate data analysis in support of timely food insecurity mitigation and adaptation in Africa. FEWS NET, therefore, provides a compelling example of a sector-specific climate service. We briefly review the phases, successes and shortcomings of the FEWS NET climate service, describe an improved long term climate service strategy, and present new research supporting an improved, integrated drought monitoring approach. Our new monitoring system emphasizes seamless links between historical precipitation archives, near real-time rainfall estimates, and 1-to-4 month statistical predictions. Assessment of forecast skill shows useful levels of accuracy for many regions during key periods of the growing season. Integrating these forecasts with near real time blended satellite-gauge precipitation observations facilitates early identification of mid-season agricultural drought. Integrated historical climate archives (1979-present) permit analysis of observed and forecast climate conditions in terms of historical probabilities and analogs. Tools specific to staple crops and pastoralist settings are then used to assess the likely impacts of hydrometeorological anomalies. These are geographically integrated with livelihoods information and interpreted in terms of current food security conditions and timelines to determine human consequences. A client-server web-mapping data portal will allow users to dynamically access the climate anomaly information, and visualize the results in conjunction with livelihood information.

  13. Second generation intelligent user interface for the crustal dynamics data information system. [For NASA space missions

    SciTech Connect

    Short, N. Jr.; Wattawa, S.L.

    1988-01-01

    For the past decade, operations and research projects that support a major portion of NASA's overall mission have experienced a dramatic increase in the volume of generated data and resultant information that is unparalleled in the history of the agency. The effect of such an increase is that most of the science and engineering disciplines are undergoing an information glut, which has occurred, not only because of the amount, but also because of the type of data being collected. This information glut is growing exponentially and is expected to grow for the foreseeable future. Consequently, it is becoming physically and intellectually impossible to identify, access, modify, and analyze the most suitable information. Thus, the dilemma arises that the amount and complexity of information has exceeded and will continue to exceed, using present information systems, the ability of all the scientists and engineers to understand and take advantage of this information. As a result of this information problem, NASA has initiated the Intelligent Data Management (IDM) project to design and develop Advanced Information Management (IDM) project to design and develop Advanced Information Management Systems (AIMS). The first effort of the Project was the prototyping of an Intelligent User Interface (IUI) to an operational scientific database using expert systems, natural language processing, and graphics technologies. An overview of the IUI formulation and development for the second phase is presented. 21 references.

  14. Generation of artificial biometric data enhanced with contextual information for game strategy-based behavioral biometrics

    NASA Astrophysics Data System (ADS)

    Yampolskiy, Roman V.; Govindaraju, Venu

    2008-03-01

    For the domain of strategy-based behavioral biometrics we propose the concept of profiles enhanced with spatial, temporal and contextual information. Inclusion of such information leads to a more stable baseline profile and as a result more secure systems. Such enhanced data is not always readily available and often is time consuming and expensive to acquire. One solution to this problem is the use of artificially generated data. In this paper a novel methodology for creation of feature-level synthetic biometric data is presented. Specifically generation of behavioral biometric data represented by game playing strategies is demonstrated. Data validation methods are described and encouraging results are obtained with possibility of expanding proposed methodologies to generation of artificial data in the domains other then behavioral biometrics.

  15. Application of Vadose Zone Monitoring Technology for Characterization of Leachate Generation in Landfills

    NASA Astrophysics Data System (ADS)

    aharoni, imri; dahan, ofer

    2016-04-01

    Ground water contamination due to landfill leachate percolation is considered the most severe environmental threat related to municipal solid waste landfills. Natural waste degradation processes in landfills normally produce contaminated leachates up to decades after the waste has been buried. Studies have shown that understanding the mechanisms which govern attenuation processes and the fate of pollutants in the waste and in the underlying unsaturated zone is crucial for evaluation of environmental risks and selection of a restoration strategy. This work focuses on a closed landfill in the coastal plain of Israel that was active until 2002 without any lining infrastructure. A vadose zone monitoring system (VMS) that was implemented at the site enables continuous measurements across the waste body (15 m thick) and underlying sandy vadose zone (16 m thick). Data collected by the VMS included continuous measurements of water content as well as chemical composition of the leachates across the entire waste and vadose zone cross section. Results indicated that winter rain percolated through the waste, generating wetting waves which were observed across the waste and unsaturated sediment from land surface until groundwater at 31 m bls. Quick percolation and high fluxes were observed in spite of the clay cover that was implemented at the site as part of the rehabilitation scheme. The results show that the flow pattern is controlled by a preferential mechanism within the waste body. Specific sections showed rapid fluxes in response to rain events, while other sections remained unaffected. In the underlying sandy vadose zone the flow pattern exhibited characteristics of matrix flow. Yet, some sections received higher fluxes due to the uneven discharge of leachates from the overlying waste body. Water samples collected from the waste layer indicate production of highly polluted leachates over 14 years after the landfill was closed. The chemical composition within the waste

  16. Monitoring equipment environment during nuclear plant operation at Salem and Hope Creek generating stations

    SciTech Connect

    Blum, A.; Smith, R.J.

    1991-06-01

    Monitoring of environmental parameters has become a significant issue for operating nuclear power plants. While the long-term benefits of plant life extension programs are being pursued with comprehensive environmental monitoring programs, the potential effect of local hot spots at various plant locations needs to be evaluated for its effect on equipment degradation and shortening of equipment qualified life. A significant benefit can be experienced from temperature monitoring when a margin exists between the design versus actual operating temperature. This margin can be translated into longer equipment qualified life and significant reduction in maintenance activities. At PSE and G, the immediate need for monitoring environmental parameters is being accomplished via the use of a Logic Beach Bitlogger. The Bitlogger is a portable data loggings system consisting of a system base, input modules and a communication software package. Thermocouples are installed on selected electrical equipment and cables are run from the thermocouples to the input module of the Bitlogger. Temperature readings are taken at selected intervals, stored in memory, and downloaded periodically to a PC software program, i.e., Lotus. The data is formatted into tabular or graphical documents. Because of their versatility, Bitloggers are being used differently at the authors Nuclear facility. At the Salem Station (2 Units-4 loop Westinghouse PWR), a battery powered, fully portable, calibrated Bitlogger is located in an accessible area inside Containment where it monitors the temperature of various electrical equipment within the Pressurizer Enclosure. It is planned that close monitoring of the local hot spot temperatures in this area will allow them to adjust and reconcile the environmental qualification of the equipment.

  17. Monitoring the inundation extent of the Florida Everglades with AVHRR data in a geographic information system

    NASA Technical Reports Server (NTRS)

    Pelletier, R. E.; Dow, D. D.

    1989-01-01

    The purpose of the study is to develop a geographical information system capable of estimating methane and other greenhouse trace-gas fluxes from the wetlands of the Florida Everglades. Advanced very-high-resolution radiometer (AVHRR) data collected on a near-monthly basis for a year in order to monitor the seasonal dynamics of inundation extent across the Everglades is utilized in the analysis. It is noted that AVHRR data presents advantages over other remote-sensing data sources employed in covering large geographical regions due to its daily coverage with multiple opportunities during a day. This temporal resolution allows the realistic expectation of acquiring data on a frequent basis.

  18. A proposal for a drug information database and text templates for generating package inserts.

    PubMed

    Okuya, Ryo; Kimura, Masaomi; Ohkura, Michiko; Tsuchiya, Fumito

    2013-01-01

    To prevent prescription errors caused by information systems, a database to store complete and accurate drug information in a user-friendly format is needed. In previous studies, the primary method for obtaining data stored in a database is to extract drug information from package inserts by employing pattern matching or more sophisticated methods such as text mining. However, it is difficult to obtain a complete database because there is no strict rule concerning expressions used to describe drug information in package inserts. The authors' strategy was to first build a database and then automatically generate package inserts by embedding data in the database using templates. To create this database, the support of pharmaceutical companies to input accurate data is required. It is expected that this system will work, because these companies can earn merit for newly developed drugs to decrease the effort to create package inserts from scratch. This study designed the table schemata for the database and text templates to generate the package inserts. To handle the variety of drug-specific information in the package inserts, this information in drug composition descriptions was replaced with labels and the replacement descriptions utilizing cluster analysis were analyzed. To improve the method by which frequently repeated ingredient information and/or supplementary information are stored, the method was modified by introducing repeat tags in the templates to indicate repetition and improving the insertion of data into the database. The validity of this method was confirmed by inputting the drug information described in existing package inserts and checking that the method could regenerate the descriptions in the original package insert. In future research, the table schemata and text templates will be extended to regenerate other information in the package inserts.

  19. The Valence of Self-Generated (Status Updates) and Other-Generated (Wall-Posts) Information Determines Impression Formation on Facebook.

    PubMed

    Rosenthal-Stott, Harriet E S; Dicks, Rea E; Fielding, Lois S

    2015-01-01

    We examined whether self-generated (status updates) or other-generated (wall-posts) information on Facebook influenced the impression formed of the target individual. Along with examining reliance on particular types of information, we explored the valence (positive/ neutral/ negative) of the information, as reliance on self-generated or other-generated information may depend on whether self-presentation is perceived (i.e., presenting oneself positively / not negatively). Self-presentation may be perceived if the targets have positive/ neutral statuses, while negative statuses would indicate a lack of self-presentation. In line with previous research, participants should rely on other-generated information (wall-posts) to form an impression when participants are viewed to have self-presented (positive / neutral status updates), as this information could be viewed as unreliable. Forty participants rated nine Facebook profiles where statuses and wall-posts portrayed personality traits varying in valence. Each profile consisted of a neutral profile photo, three status updates (all positive, negative, or neutral) and three wall-posts (all positive, negative, or neutral). Materials were established in two pilots. Impression formation was measured as perceived social, task, and physical attractiveness of the target individual. Participants also ranked the profiles for likeability. Supporting our expectations, other-generated information (wall-posts) dominated impression formation for social attractiveness when self-generated information (status updates) was positive/ neutral. Task attractiveness was affected by information valence, regardless of source (self or other). Despite the inclusion of neutral photos, physical attractiveness was affected by self-generated information, with negative statuses lowering physical attractiveness. We suggest that these findings have implications for impression formation beyond the Facebook setting. The 557 traits analyzed in Pilot 1 are

  20. The Valence of Self-Generated (Status Updates) and Other-Generated (Wall-Posts) Information Determines Impression Formation on Facebook

    PubMed Central

    Rosenthal-Stott, Harriet E. S.; Dicks, Rea E.; Fielding, Lois S.

    2015-01-01

    We examined whether self-generated (status updates) or other-generated (wall-posts) information on Facebook influenced the impression formed of the target individual. Along with examining reliance on particular types of information, we explored the valence (positive/ neutral/ negative) of the information, as reliance on self-generated or other-generated information may depend on whether self-presentation is perceived (i.e., presenting oneself positively / not negatively). Self-presentation may be perceived if the targets have positive/ neutral statuses, while negative statuses would indicate a lack of self-presentation. In line with previous research, participants should rely on other-generated information (wall-posts) to form an impression when participants are viewed to have self-presented (positive / neutral status updates), as this information could be viewed as unreliable. Forty participants rated nine Facebook profiles where statuses and wall-posts portrayed personality traits varying in valence. Each profile consisted of a neutral profile photo, three status updates (all positive, negative, or neutral) and three wall-posts (all positive, negative, or neutral). Materials were established in two pilots. Impression formation was measured as perceived social, task, and physical attractiveness of the target individual. Participants also ranked the profiles for likeability. Supporting our expectations, other-generated information (wall-posts) dominated impression formation for social attractiveness when self-generated information (status updates) was positive/ neutral. Task attractiveness was affected by information valence, regardless of source (self or other). Despite the inclusion of neutral photos, physical attractiveness was affected by self-generated information, with negative statuses lowering physical attractiveness. We suggest that these findings have implications for impression formation beyond the Facebook setting. The 557 traits analyzed in Pilot 1 are

  1. The second generation intelligent user interface for the crustal dynamics data information system

    NASA Technical Reports Server (NTRS)

    Short, Nicholas, Jr.; Wattawa, Scott L.

    1988-01-01

    For the past decade, operations and research projects that support a major portion of NASA's overall mission have experienced a dramatic increase in the volume of generated data and resultant information that is unparalleled in the history of the agency. The effect of such an increase is that most of the science and engineering disciplines are undergoing an information glut, which has occurred, not only because of the amount, but also because of the type of data being collected. This information glut is growing exponentially and is expected to grow for the foreseeable future. Consequently, it is becoming physically and intellectually impossible to identify, access, modify, and analyze the most suitable information. Thus, the dilemma arises that the amount and complexity of information has exceeded and will continue to exceed, using present information systems, the ability of all the scientists and engineers to understand and take advantage of this information. As a result of this information problem, NASA has initiated the Intelligent Data Management (IDM) project to design and develop Advanced Information Management Systems (AIMS). The first effort of the Project was the prototyping of an Intelligent User Interface (IUI) to an operational scientific database using expert systems, natural language processing, and graphics technologies. An overview of the IUI formulation and development for the second phase is presented.

  2. Scalability analysis of three monitoring and information systems : MDS2, R-GMA, and Hawkeye.

    SciTech Connect

    Zhang, X.; Freschl, J. L.; Schopf, J. M.; Mathematics and Computer Science; Univ. of Chicago; Univ. of Wisconsin at Madison

    2007-08-01

    Monitoring and information system (MIS) implementations provide data about available resources and services within a distributed system, or Grid. A comprehensive performance evaluation of an MIS can aid in detecting potential bottlenecks, advise in deployment, and help improve future system development. In this paper, we analyze and compare the performance of three implementations in a quantitative manner: the Globus Toolkit Monitoring and Discovery Service (MDS2), the European DataGrid Relational Grid Monitoring Architecture (R-GMA), and the Condor project's Hawkeye. We use the NetLogger toolkit to instrument the main service components of each MIS and conduct four sets of experiments to benchmark their scalability with respect to the number of users, the number of resources, and the amount of data collected. Our study provides quantitative measurements comparable across all systems. We also find performance bottlenecks and identify how they relate to the design goals, underlying architectures, and implementation technologies of the corresponding MIS, and we present guidelines for deploying MISs in practice.

  3. A computerized bibliographic literature information system for total human exposure monitoring research

    SciTech Connect

    Dellarco, M.; Ott, W.; Wallace, L. ); Hunt, H. )

    1988-01-01

    Total human exposure monitoring is a new concept that seeks to determine, with known precision and accuracy, the pollutant concentrations actually reaching people through the food they eat, the water they drink, and the air they breath regardless of whether people are located indoors, outdoors, or in-transit. Such monitoring provides the key information needed to protect public health and to make risk assessment through representative samples of the general population, using personal monitors to measure air exposure and making direct measurements of contaminants in food, drinking water, and breath. This paper discusses the new field which also includes: surveys of what people do, where, and when, called human activity patterns, special models designed to predict human exposures from activity pattern data, and studies of the pollutant concentrations found in the small physical microenvironments that people visit, such as in-transit vehicles (for example, buses, automobiles, trains, and subways); indoor settings (for example, schools, auditoriums, stores, churches, offices, and homes); and outdoor settings(for example, sidewalks, intersections, outdoor parking areas, street canyons).

  4. Information Fusion in Ad hoc Wireless Sensor Networks for Aircraft Health Monitoring

    NASA Astrophysics Data System (ADS)

    Fragoulis, Nikos; Tsagaris, Vassilis; Anastassopoulos, Vassilis

    In this paper the use of an ad hoc wireless sensor network for implementing a structural health monitoring system is discussed. The network is consisted of sensors deployed throughout the aircraft. These sensors being in the form of a microelectronic chip and consisted of sensing, data processing and communicating components could be easily embedded in any mechanical aircraft component. The established sensor network, due to its ad hoc nature is easily scalable, allowing adding or removing any number of sensors. The position of the sensor nodes need not necessarily to be engineered or predetermined, giving this way the ability to be deployed in inaccessible points. Information collected from various sensors of different modalities throughout the aircraft is then fused in order to provide a more comprehensive image of the aircraft structural health. Sensor level fusion along with decision quality information is used, in order to enhance detection performance.

  5. What is in my air? Feds facilitating citizen science in the EPA Next Generation Air Monitoring Program

    NASA Astrophysics Data System (ADS)

    French, R. A.; Preuss, P.

    2013-12-01

    Recent advances in the development of small-scale and inexpensive air pollutant sensors, coupled with the ubiquitous use of wireless and mobile technology, will transform the field of air quality monitoring. For the first time, the general public may purchase air monitors, which can measure their personal exposure to NOx, Ozone, black carbon, and VOCs for a few hundred dollars. Concerned citizens may now gather the data for themselves to answer questions such as, ';what am I breathing?' and ';is my air clean?' The research and policy community will have access to real-time air quality data collected at the local and regional scale, making targeted protection of environmental health possible. With these benefits come many questions from citizen scientists, policymakers, and researchers. These include, what is the quality of the data? How will the public interpret data from the air sensors and are there guidelines to interpret that data? How do you know if the air sensor is trustworthy? Recognizing that this revolution in air quality monitoring will proceed regardless of the involvement of the government, the Innovation Team at the EPA Office of Research and Development, in partnership with the Office of Enforcement and Compliance Assistance and the Office of Air and Radiation, seized the opportunity to ensure that users of next generation air sensors can realize the full potential benefits of these innovative technologies. These efforts include releasing an EPA Draft Roadmap for Next Generation Air Monitoring, testing air sensors under laboratory and field conditions, field demonstrations of new air sensor technology for the public, and building a community of air sensor developers, researchers, local, state and federal officials, and community members through workshops and a website. This presentation will review the status of those programs, highlighting the particular programs of interest to citizen scientists. The Next Generation Air Monitoring program may serve

  6. Radiation Exposure Monitoring and Information Transmittal (REMIT) system. User`s manual

    SciTech Connect

    Cale, R.; Clark, T.; Dixson, R.; Hagemeyer, D.

    1993-06-01

    The Radiation Exposure Monitoring and Information Transmittal (REMIT) system is designed to assist US Nuclear Regulatory Commission (NRC)licensees in meeting the reporting requirements of the revised 10 CFR 20 and in agreement with the guidance contained in R.G. 8.7, Rev. 1, ``Instructions for Recording and Reporting Occupational Exposure Data.`` REMIT is a personal computer (PC) based menu driven system that facilitates the manipulation of data base files to record and report radiation exposure information. REMIT is designed to be user-friendly and contains the full text of R. G. 8.7, Rev. 1, on-line as well as context-sensitive help throughout the program. The user can enter data directly from NRC Forms 4 or 5, REMIT allows the user to view the individual`s exposure in relation to regulatory or administrative limits and alerts the user to exposures in excess of these limits. The system also provides for the calculation and summation of dose from intakes and the determination of the dose to the maximally exposed extremity for the monitoring year. REMIT can produce NRC Forms 4 and 5 in paper and electronic format and can import/export data from ASCII and data base files.

  7. Satellite-based climate information within the WMO RA VI Regional Climate Centre on Climate Monitoring

    NASA Astrophysics Data System (ADS)

    Obregón, A.; Nitsche, H.; Körber, M.; Kreis, A.; Bissolli, P.; Friedrich, K.; Rösner, S.

    2014-05-01

    The World Meteorological Organization (WMO) established Regional Climate Centres (RCCs) around the world to create science-based climate information on a regional scale within the Global Framework for Climate Services (GFCS). The paper introduces the satellite component of the WMO Regional Climate Centre on Climate Monitoring (RCC-CM) for Europe and the Middle East. The RCC-CM product portfolio is based on essential climate variables (ECVs) as defined by the Global Climate Observing System (GCOS), spanning the atmospheric (radiation, clouds, water vapour) and terrestrial domains (snow cover, soil moisture). In the first part, the input data sets are briefly described, which are provided by the EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) Satellite Application Facilities (SAF), in particular CM SAF, and by the ESA (European Space Agency) Climate Change Initiative (CCI). In the second part, the derived RCC-CM products are presented, which are divided into two groups: (i) operational monitoring products (e.g. monthly means and anomalies) based on near-real-time environmental data records (EDRs) and (ii) climate information records (e.g. climatologies, time series, trend maps) based on long-term thematic climate data records (TCDRs) with adequate stability, accuracy and homogeneity. The products are provided as maps, statistical plots and gridded data, which are made available through the RCC-CM website (www.dwd.de/rcc-cm).

  8. Development and Implementation of Flood Risk Mapping, Water Bodies Monitoring and Climate Information for Human Health

    NASA Astrophysics Data System (ADS)

    Ceccato, P.; McDonald, K. C.; Jensen, K.; Podest, E.; De La Torre Juarez, M.

    2013-12-01

    Public health professionals are increasingly concerned about the potential impact that climate variability and change can have on infectious disease. The International Research Institute for Climate and Society (IRI), City College of New York (CCNY) and NASA Jet Propulsion Laboratory (JPL) are developing new products to increase the public health community's capacity to understand, use, and demand the appropriate climate data and climate information to mitigate the public health impacts of climate on vector-borne diseases such as malaria, leishmaniasis, rift valley fever. In this poster we present the new and improved products that have been developed for monitoring water bodies for monitoring and forecasting risks of vector-borne disease epidemics. The products include seasonal inundation patterns in the East African region based on the global mappings of inundated water fraction derived at the 25-km scale from both active and passive microwave instruments QuikSCAT, AMSR-E, SSM/I, ERS, ASCAT, and MODIS and LANDSAT data. We also present how the products are integrated into a knowledge system (IRI Data Library Map room, SERVIR) to support the use of climate and environmental information in climate-sensitive health decision-making.

  9. Monitoring thrombin generation and screening anticoagulants through pulse laser-induced fragmentation of biofunctional nanogold on cellulose membranes.

    PubMed

    Li, Yu-Jia; Chiu, Wei-Jane; Unnikrishnan, Binesh; Huang, Chih-Ching

    2014-09-10

    Thrombin generation (TG) has an important part in the blood coagulation system, and monitoring TG is useful for diagnosing various health issues related to hypo-coagulability and hyper-coagulability. In this study, we constructed probes by using mixed cellulose ester membranes (MCEMs) modified with gold nanoparticles (Au NPs) for monitoring thrombin activity using laser desorption/ionization mass spectrometry (LDI-MS). The LDI process produced Au cationic clusters ([Au(n)](+); n = 1-3) that we detected through MS. When thrombin reacted with fibrinogen on the Au NPs-MCEMs, insoluble fibrin was formed, hindering the formation of Au cationic clusters and, thereby, decreasing the intensity of their signals in the mass spectrum. Accordingly, we incorporated fibrinogen onto the Au NPs-MCEMs to form Fib-Au NPs-MCEM probes to monitor TG with good selectivity (>1000-fold toward thrombin with respect to other proteins or enzymes) and sensitivity (limit of detection for thrombin of ca. 2.5 pM in human plasma samples). Our probe exhibited remarkable performance in monitoring the inhibition of thrombin activity by direct thrombin inhibitors. Analyses of real samples using our new membrane-based probe suggested that it will be highly useful in practical applications for the effective management of hemostatic complications.

  10. Using Distributed Continuous Turbidity Monitoring to Inform Sediment and Sediment-bound Nutrient Budgets

    NASA Astrophysics Data System (ADS)

    Rizzo, D.; Hamshaw, S. D.; Underwood, K. L.; Wemple, B. C.; Dewoolkar, M.

    2014-12-01

    The State of Vermont is experiencing changing hydrological regimes due to increased precipitation resulting from climate change. Understanding the impacts this change may cause to river corridors and the water quality of receiving waters is a critical need. Estimating the loading of sediment and sediment-bound nutrients such as phosphorous from various sources is a key aspect. In particular, the proportion attributable to main stem bank erosion is of concern as it is suspected to be a significant source in river basins in the Northeast. Sediment and nutrient budgets have been utilized for many years to provide a conceptual framework for proportioning loading to different sources. In this study, a continuous turbidity monitoring station network informs the creation of a watershed sediment budget in a small watershed. Monitoring stations placed on select upstream tributaries as well as the downstream watershed outlet are used to characterize overall watershed yield as well as loading to the main stem from tributaries. Analysis of differential unit area loading from tributary and downstream monitoring sites estimate the proportion of the overall watershed sediment yield that could be attributed to main stem bank erosion. Regression models of suspended sediment and total phosphorous enable the quantification of sediment-bound phosphorous loadings from stream banks. To characterize loadings and overall watershed sediment and nutrient yields, a probabilistic framework is created using a Bayesian approach that enables updating of continuously-collected data and provides estimates of uncertainty resulting in credible ranges of sediment and phosphorous loading. These sediment and nutrient budget estimates along with their associated uncertainties help inform water resource managers of loading sources and enable prioritization of mitigation efforts.

  11. Automatic generation of stop word lists for information retrieval and analysis

    DOEpatents

    Rose, Stuart J

    2013-01-08

    Methods and systems for automatically generating lists of stop words for information retrieval and analysis. Generation of the stop words can include providing a corpus of documents and a plurality of keywords. From the corpus of documents, a term list of all terms is constructed and both a keyword adjacency frequency and a keyword frequency are determined. If a ratio of the keyword adjacency frequency to the keyword frequency for a particular term on the term list is less than a predetermined value, then that term is excluded from the term list. The resulting term list is truncated based on predetermined criteria to form a stop word list.

  12. Instrumentation for a next-generation x-ray all-sky monitor

    SciTech Connect

    Peele, A. G.

    1999-12-15

    We have proposed an x-ray all-sky monitor for a small satellite mission that will be ten times more sensitive than past monitors and that opens up a new band of the soft x-ray spectrum (0.1-3.0 keV) for study. We discuss three approaches to the construction of the optics. The first method, well within the reach of existing technology, is to approximate the lobster-eye geometry by building crossed arrays of planar reflectors, this gives great control over the reflecting surface but is limited in terms of resolution at the baseline 4 arc minute level. The second method is to use microchannel plates; this technology has the potential to greatly exceed the baseline resolution and sensitivity but is yet to be fully demonstrated. The third method, while still in its infancy, may yet prove to be the most powerful; this approach relies on photolithography to expose a substrate that can then be developed and replicated. The scientific case for this mission is almost too broad to state here. The instrument we describe will allow investigation of the long term light curves of thousands of AGN, it will detect thousands of transients, including GRBs and type II supernova, and the stellar coronae of hundreds of the brightest x-ray stars can be monitored. In addition the classical objectives of all-sky monitors--long-term all-sky archive and watchdog alert to new events--will be fulfilled at an unprecedented level. We also note that by opening up a little-explored band of the x-ray sky the opportunity for new discovery is presented. A satisfying example of entering new territory while still retaining the guarantee of expanding the domain of existing research.

  13. A Next Generation Air Monitor: Combining Orion and ISS Requirements for a Common Major Constituent Analyzer

    NASA Technical Reports Server (NTRS)

    Burchfield, David E.; Tissandier, Michael; Hsein-ChiNiu, William; Lewis, John F.

    2012-01-01

    The Major Constituent Analyzer (MCA) is a mass spectrometer-based instrument designed to provide critical monitoring of six major atmospheric constituents; nitrogen, oxygen, hydrogen, carbon dioxide, methane, and water vapor on-board the International Space Station. The analyzer has been an integral part of the Environmental Control and Life Support System (ECLSS) since the station went on-line. The Orion Air Monitor (OAM) was derived from the MCA and heavily optimized for reduced mass, lower power, faster water vapor response, and maintenance-free operation. The resulting OAM is approximately the size of the analyzer portion of the MCA, orbital-replacement unit 02 (ORU 02), while incorporating the functions of three other modules: Data Processing and Communication (ORU 01), Verification Gas Assembly (ORU 08), and Low Voltage Power Supply (ORU 04). The overlap in MCA and OAM requirements makes it possible to derive a common Air Monitor design that spans both applications while minimally impacting the weight and power limits imposed by the Multipurpose Crew Vehicle (MPCV). Benefits to ISS include the retirement of ORUs 01, 04, and 08, reducing up-mass and eliminating EEE parts obsolescence issues through the extended ISS mission phases. Benefits to MPCV and future deployed habitats under the Constellation program include greater interchangeability across ECLSS subsystems. This paper discusses the results of the requirements development study, where a superset of ISS and Orion air monitoring requirements were distilled; evaluated against increases in OAM functionality, mass, and power; and traded-off where possible using simple operating mode modifications. A system architecture and preliminary design addressing the common requirements will be presented.

  14. A Next Generation Air Monitor: Combining Orion and ISS Requirements for a Common Major Constituent Analyzer

    NASA Technical Reports Server (NTRS)

    Burchfield, David E.; Tissandier, Michael; Niu, William Hsein-Chi; Lewis, John F.

    2013-01-01

    The Major Constituent Analyzer (MCA) is a mass spectrometer-based instrument designed to provide critical monitoring of six major atmospheric constituents; nitrogen, oxygen, hydrogen, carbon dioxide, methane, and water vapor on-board the International Space Station. The analyzer has been an integral part of the Environmental Control and Life Support System (ECLSS) since the station went on-line. The Orion Air Monitor (OAM) was derived from the MCA and heavily optimized for reduced mass, lower power, faster water vapor response, and maintenance-free operation. The resulting OAM is approximately the size of the analyzer portion of the MCA, orbital-replacement unit 02 (ORU 02), while incorporating the functions of three other modules: Data Processing and Communication (ORU 01), Verification Gas Assembly (ORU 08), and Low Voltage Power Supply (ORU 04). The overlap in MCA and OAM requirements makes it possible to derive a common Air Monitor design that spans both applications while minimally impacting the weight and power limits imposed by the Multipurpose Crew Vehicle (MPCV). Benefits to ISS include the retirement of ORUs 01, 04, and 08, reducing up-mass and eliminating EEE parts obsolescence issues through the extended ISS mission phases. Benefits to MPCV and future deployed habitats under the Constellation program include greater interchangeability across ECLSS subsystems. This paper discusses the results of the requirements development study, where a superset of ISS and Orion air monitoring requirements were distilled; evaluated against increases in OAM functionality, mass, and power; and traded-off where possible using simple operating mode modifications. A system architecture and preliminary design addressing the common requirements will be presented.

  15. Generation of a dual-color reporter mouse line to monitor spermatogenesis in vivo

    PubMed Central

    Makino, Yoshinori; Inoue, Erina; Hada, Masashi; Aoshima, Keisuke; Kitano, Satsuki; Miyachi, Hitoshi; Okada, Yuki

    2014-01-01

    In vivo fluorescent imaging technique is a strong tool to visualize the various cellular events such as the proliferation, differentiation, migration, and a lineage tracing in living cells requiring no further experimental procedure such as immunostaining. During spermatogenesis, unique and dynamic histone exchanges occur. Since the timing and types of histone exchanges defines the particular stages of spermatogenesis, visualizing certain types of histones in testes is useful not only for researching specific histone dynamics, but also for monitoring the stages of spermatogenesis in vivo. In this study, we report the establishment of two transgenic (Tg) mouse lines expressing histone H4-Venus (H4V) and histone H3.3-mCherry (H33C) fusion proteins in testicular germ cells, and demonstrated their utility for monitoring germ cell development in vivo. Because of the choice of promoter as well as the nature of these histones, H4V and H33C were exclusively expressed in the germ cells of the distinct stages, which allowed the determination of spermatogenic stages in real time. In addition, disappearance of H4V and H33C at particular stages of differentiation/fertilization also represented dynamic histone removal. Collectively, these Tg mice are a valuable resource not only for monitoring differentiation stages, but also for studying the chromatin dynamics of post-natal testicular germ cell development in vivo. PMID:25364737

  16. A survey of available information on gas generation in tank 241-SY-101

    SciTech Connect

    Strachan, D.M. ); Reynolds, D.A. ); Siemer, D.D. ); Wallace, R.W. )

    1991-03-01

    As a result of a concerted effort to determine the chemical and physical mechanisms underlying the generation and episodic release of gases from tank 241-SY-101, more commonly known as tank 101-SY, the Tank Waste Science Panel has been established at the Pacific Northwest Laboratory. Four of the members of this panel met to screen the available information on tank 101-SY and provide to the remaining members a shortened list of references that could be used to assess the mechanisms underlying the generation and episodic release of gases from tank 101-SY. This document is the result of this preliminary screening of information for the Tank Waste Science Panel and was provided to the Panel members at their first meeting. 14 refs., 3 tabs.

  17. Domain-engineered PPLN for entangled photon generation and other quantum information applications

    NASA Astrophysics Data System (ADS)

    Kuo, Paulina S.; Pelc, Jason S.; Slattery, Oliver; Ma, Lijun; Tang, Xiao

    2014-05-01

    We describe the design and application of domain-engineered, periodically poled lithium niobate (PPLN) for use to produce entangled photons and for other tools in quantum information and communications. By specially designing and controlling the PPLN poling pattern, multiple nonlinear optical processes can be simultaneously phasematched. This capability can be used to generate polarization-entangled photon pairs through type-II spontaneous parametric downconversion. The single PPLN crystal is designed to produce both the |HV> and |VH> states where the downconverted photons are distinguishable by wavelengths, which enables generation of post-selection-free, polarization-entangled twin photons. We describe the design and fabrication of the PPLN crystal, and initial experimental results for downconversion of a 775 nm pump to 1532 nm and 1567 nm orthogonally polarized photons. We also discuss other applications of engineered optical frequency conversion for quantum information including the use of dual-wavelength upconversion as a beamsplitter to route or analyze photons.

  18. Monitoring Fibrous Scaffold Guidance of Three-Dimensional Collagen Organisation Using Minimally-Invasive Second Harmonic Generation

    PubMed Central

    Delaine-Smith, Robin M.; Green, Nicola H.; Matcher, Stephen J.; MacNeil, Sheila; Reilly, Gwendolen C.

    2014-01-01

    The biological and mechanical function of connective tissues is largely determined by controlled cellular alignment and therefore it seems appropriate that tissue-engineered constructs should be architecturally similar to the in vivo tissue targeted for repair or replacement. Collagen organisation dictates the tensile properties of most tissues and so monitoring the deposition of cell-secreted collagen as the construct develops is essential for understanding tissue formation. In this study, electrospun fibres with a random or high degree of orientation, mimicking two types of tissue architecture found in the body, were used to culture human fibroblasts for controlling cell alignment. The minimally-invasive technique of second harmonic generation was used with the aim of monitoring and profiling the deposition and organisation of collagen at different construct depths over time while construct mechanical properties were also determined over the culture period. It was seen that scaffold fibre organisation affected cell migration and orientation up to 21 days which in turn had an effect on collagen organisation. Collagen in random fibrous constructs was deposited in alternating configurations at different depths however a high degree of organisation was observed throughout aligned fibrous constructs orientated in the scaffold fibre direction. Three-dimensional second harmonic generation images showed that deposited collagen was more uniformly distributed in random constructs but aligned constructs were more organised and had higher intensities. The tensile properties of all constructs increased with increasing collagen deposition and were ultimately dictated by collagen organisation. This study highlights the importance of scaffold architecture for controlling the development of well-organised tissue engineered constructs and the usefulness of second harmonic generation imaging for monitoring collagen maturation in a minimally invasive manner. PMID:24587017

  19. Issues encountered in an attempt to implement a second-generation management information system.

    PubMed Central

    Adler, D A; Edwards, C N

    1981-01-01

    Human service organization are beset by internal and external requests for information. As the scale and complexity of such delivery systems has increased, the use of computer-based information systems has become a necessity. The evolution of a client information system in a large, decentralized mental health center is reviewed in this paper to illustrate several critical issues that can be encountered in the application of computer-based technology to human services. An analysis of the center's existing information system and the development of the data forms and procedures necessary for a second-generation system to meet information needs revealed the unique data structure and analysis problems of human service delivery systems. These problems were complicated by regulatory agencies' imposition of external reporting requirements that frequently were unpredictable and inconsistent. Finally, planning and negotiations with the participation of all involved parties demonstrated that formal and informal administrative constraints and conflicting interests within human service organizations must be accommodated or a system may fail. All of these factors combine to highlight both the problems and the need for highly flexible multipurpose information systems. PMID:7255661

  20. Informing the next nuclear generation - how does the Ginna plant branch do it?

    SciTech Connect

    Saavedra, A.

    1995-12-31

    Most of us are familiar with the latest advertising phrase, ``Our children are our future.`` This phrase has been used in so many instances - from concerns about waste, Social Security, and the federal deficit to drug abuse and violence. One more area can be added to the list and advertised nuclear power. Since the establishment of the Ginna plant branch (GPB) in 1992, our target audience has been the next nuclear generation (our children), but our vehicle for dissemination has been the current generation (the adults). Have you ever thought about how often your opinions affect the children you come in contact with? One of GPB`s goals is to provide as much information as possible to teachers, neighbors, and civic organizations of our community so that there is a nuclear future that can be carried on by the next generation.

  1. The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    NASA Astrophysics Data System (ADS)

    Piedrahita, R.; Xiang, Y.; Masson, N.; Ortega, J.; Collier, A.; Jiang, Y.; Li, K.; Dick, R. P.; Lv, Q.; Hannigan, M.; Shang, L.

    2014-10-01

    Advances in embedded systems and low-cost gas sensors are enabling a new wave of low-cost air quality monitoring tools. Our team has been engaged in the development of low-cost, wearable, air quality monitors (M-Pods) using the Arduino platform. These M-Pods house two types of sensors - commercially available metal oxide semiconductor (MOx) sensors used to measure CO, O3, NO2, and total VOCs, and NDIR sensors used to measure CO2. The MOx sensors are low in cost and show high sensitivity near ambient levels; however they display non-linear output signals and have cross-sensitivity effects. Thus, a quantification system was developed to convert the MOx sensor signals into concentrations. We conducted two types of validation studies - first, deployments at a regulatory monitoring station in Denver, Colorado, and second, a user study. In the two deployments (at the regulatory monitoring station), M-Pod concentrations were determined using collocation calibrations and laboratory calibration techniques. M-Pods were placed near regulatory monitors to derive calibration function coefficients using the regulatory monitors as the standard. The form of the calibration function was derived based on laboratory experiments. We discuss various techniques used to estimate measurement uncertainties. The deployments revealed that collocation calibrations provide more accurate concentration estimates than laboratory calibrations. During collocation calibrations, median standard errors ranged between 4.0-6.1 ppb for O3, 6.4-8.4 ppb for NO2, 0.28-0.44 ppm for CO, and 16.8 ppm for CO2. Median signal to noise (S / N) ratios for the M-Pod sensors were higher than the regulatory instruments: for NO2, 3.6 compared to 23.4; for O3, 1.4 compared to 1.6; for CO, 1.1 compared to 10.0; and for CO2, 42.2 compared to 300-500. By contrast, lab calibrations added bias and made it difficult to cover the necessary range of environmental conditions to obtain a good calibration. A separate user study

  2. Generation And Understanding Of Natural Language Using Information In A Frame Structure

    NASA Astrophysics Data System (ADS)

    Perkins, Walton A.

    1989-03-01

    Many expert systems and relational database systems store factual information in the form of attributes values of objects. Problems arise in transforming from that attribute (frame) database representation into English surface structure and in transforming the English surface structure into a representation that references information in the frame database. In this paper we consider mainly the generation process, as it is this area in which we have made the most significant progress. In its interaction with the user, the expert system must generate questions, declarations, and uncertain declarations. Attributes such as COLOR, LENGTH, and ILLUMINATION can be referenced using the template: " of " for both questions and declarations. However, many other attributes, such as RATTLES, in "What is RATTLES of the light bulb?", and HAS_STREP_THROAT in, "HAS_STREP_THROAT of Dan is true." do not fit this template. We examined over 300 attributes from several knowledge bases and have grouped them into 16 classes. For each class there is one "question" template, one "declaration" template, and one "uncertain declaration" template for generating English surface structure. The internal databases identifiers (e.g., HAS_STREP_THROAT and DISEASE_35) must also be replaced by output synonyms. Classifying each attribute in combination with synonym translation remarkably improved the English surface structure that the system generated. In the area of understanding, synonym translation and knowledge of the attribute properties, such as legal values, has resulted in a robust database query capability.

  3. An autonomous information generation and distribution system for the next generation of small satellites: examples of the BIRD mission experiments

    NASA Astrophysics Data System (ADS)

    Halle, Winfried; Briess, Klaus; Kayal, Hakan

    2004-02-01

    The general trend in remote sensing is on one hand to increase the number of spectral bands and the geometric resolution of the imaging sensors which leads to higher data rates and data volumes. On the other hand the user is often only interested in special information of the received sensor data and not in the whole data mass. Concerning these two tendencies a main part of the signal pre-processing can already be done for special users and tasks on-board a satellite. For the BIRD (Bispectral InfraRed Detection) mission a new approach of an on-board data processing is made. The main goal of the BIRD mission is the fire recognition and the detection of hot spots. This paper describes the technical solution and the first results, of an on-board image data processing system based on the sensor system on two new IR-Sensors and the stereo line scanner WAOSS (Wide-Angle-Optoelectronic-Scanner). The aim of this data processing system is to reduce the data stream from the satellite due to generations of thematic maps. This reduction will be made by a multispectral classification. For this classification a special hardware based on the neural network processor NI1000 was designed. This hardware is integrated in the payload data handling system of the satellite.

  4. Diversity and Inclusion in Information Technology from an Age Perspective: Motivating and Managing Information Technology Professionals across Multiple Generations in the Workforce

    ERIC Educational Resources Information Center

    Kenan-Smalls, Yottie Marie

    2011-01-01

    The purpose of this quantitative study was to investigate diversity and inclusion from an age perspective among information technology (IT) professionals that were categorized as 4 different generations in the workforce today: Traditionalists, Baby Boomers, Generation X, and Generation Y. At the same time, this study sought to examine motivational…

  5. Summary report of working group 5 : beam generation, monitoring, and control.;

    SciTech Connect

    Lewellen, J. W.; Piot, P.; Accelerator Systems Division; Northern Illinois Univ.

    2006-01-01

    The working group on beam quality, diagnostics, and control at the 12th Advanced Accelerator Concepts Workshop held a series of meetings during the Workshop. The generation of bright charged-particle beams (in particular electron and positron beams), along with state-of-the-art beam diagnostics and synchronization were discussed.

  6. Using Spatial Information Technologies as Monitoring Devices in International Watershed Conservation along the Senegal River Basin of West Africa

    PubMed Central

    Merem, Edmund C.; Twumasi, Yaw A.

    2008-01-01

    In this paper, we present the applications of spatial technologies—Geographic Information Systems (GIS) and remote sensing—in the international monitoring of river basins particularly analyzing the ecological, hydrological, and socio-economic issues along the Senegal River. The literature on multinational water crisis has for decades focused on mediation aspects of trans-boundary watershed management resulting in limited emphasis placed on the application of advances in geo-spatial information technologies in multinational watershed conservation in the arid areas of the West African sub-region within the Senegal River Basin for decision-making and monitoring. While the basin offers life support in a complex ecosystem that stretches across different nations in a mostly desert region characterized by water scarcity and subsistence economies, there exists recurrent environmental stress induced by both socio-economic and physical factors. Part of the problems consists of flooding, drought and limited access to sufficient quantities of water. These remain particularly sensitive issues that are crucial for the health of a rapidly growing population and the economy. The problems are further compounded due to the threats of climate change and the resultant degradation of almost the region’s entire natural resources base. While the pace at which the institutional framework for managing the waters offers opportunities for hydro electricity and irrigated agriculture through the proliferation of dams, it has raised other serious concerns in the region. Even where data exists for confronting these issues, some of them are incompatible and dispersed among different agencies. This not only widens the geo-spatial data gaps, but it hinders the ability to monitor water problems along the basin. This study will fill that gap in research through mix scale methods built on descriptive statistics, GIS and remote sensing techniques by generating spatially referenced data to

  7. Using spatial information technologies as monitoring devices in international watershed conservation along the Senegal River Basin of West Africa.

    PubMed

    Merem, Edmund C; Twumasi, Yaw A

    2008-12-01

    In this paper, we present the applications of spatial technologies-Geographic Information Systems (GIS) and remote sensing-in the international monitoring of river basins particularly analyzing the ecological, hydrological, and socio-economic issues along the Senegal River. The literature on multinational water crisis has for decades focused on mediation aspects of trans-boundary watershed management resulting in limited emphasis placed on the application of advances in geo-spatial information technologies in multinational watershed conservation in the arid areas of the West African sub-region within the Senegal River Basin for decision-making and monitoring. While the basin offers life support in a complex ecosystem that stretches across different nations in a mostly desert region characterized by water scarcity and subsistence economies, there exists recurrent environmental stress induced by both socio-economic and physical factors. Part of the problems consists of flooding, drought and limited access to sufficient quantities of water. These remain particularly sensitive issues that are crucial for the health of a rapidly growing population and the economy. The problems are further compounded due to the threats of climate change and the resultant degradation of almost the region's entire natural resources base. While the pace at which the institutional framework for managing the waters offers opportunities for hydro electricity and irrigated agriculture through the proliferation of dams, it has raised other serious concerns in the region. Even where data exists for confronting these issues, some of them are incompatible and dispersed among different agencies. This not only widens the geo-spatial data gaps, but it hinders the ability to monitor water problems along the basin. This study will fill that gap in research through mix scale methods built on descriptive statistics, GIS and remote sensing techniques by generating spatially referenced data to supplement

  8. Expert Water Quality Panel Review of Responses to the NASA Request for Information for the International Space Station On-Board Environmental Monitoring System

    NASA Technical Reports Server (NTRS)

    Fishman, Julianna L.; Mudgett, Paul D.; Packham, Nigel J.; Schultz, John R.; Straub, John E., II

    2005-01-01

    On August 9, 2003, NASA, with the cooperative support of the Vehicle Office of the International Space Station Program, the Advanced Human Support Technology Program, and the Johnson Space Center Habitability and Environmental Factors Office released a Request for Information, or RFI, to identify next-generation environmental monitoring systems that have demonstrated ability or the potential to meet defined requirements for monitoring air and water quality onboard the International Space Station. This report summarizes the review and analysis of the proposed solutions submitted to meet the water quality monitoring requirements. Proposals were to improve upon the functionality of the existing Space Station Total Organic Carbon Analyzer (TOCA) and monitor additional contaminants in water samples. The TOCA is responsible for in-flight measurement of total organic carbon, total inorganic carbon, total carbon, pH, and conductivity in the Space Station potable water supplies. The current TOCA requires hazardous reagents to accomplish the carbon analyses. NASA is using the request for information process to investigate new technologies that may improve upon existing capabilities, as well as reduce or eliminate the need for hazardous reagents. Ideally, a replacement for the TOCA would be deployed in conjunction with the delivery of the Node 3 water recovery system currently scheduled for November 2007.

  9. Generation and characterization of quinolone-specific DNA aptamers suitable for water monitoring.

    PubMed

    Reinemann, C; Freiin von Fritsch, U; Rudolph, S; Strehlitz, B

    2016-03-15

    Quinolones are antibiotics that are accredited in human and veterinary medicine but are regularly used in high quantities also in industrial livestock farming. Since these compounds are often only incompletely metabolized, significant amounts contaminate the aquatic environment and negatively impact on a variety of different ecosystems. Although there is increasing awareness of problems caused by pharmaceutical pollution, available methods for the detection and elimination of numerous pharmaceutical residues are currently inefficient or expensive. While this also applies to antibiotics that may lead to multi-drug resistance in pathogenic bacteria, aptamer-based technologies potentially offer alternative approaches for sensitive and efficient monitoring of pharmaceutical micropollutants. Using the Capture-SELEX procedure, we here describe the selection of an aptamer pool with enhanced binding qualities for fluoroquinolones, a widely used group of antibiotics in both human and veterinary medicine. The selected aptamers were shown to detect various quinolones with high specificity, while specific binding activities to structurally unrelated drugs were not detectable. The quinolone-specific aptamers bound to ofloxacin, one of the most frequently prescribed fluoroquinolone, with high affinity (KD=0.1-56.9 nM). The functionality of quinolone-specific aptamers in real water samples was demonstrated in local tap water and in effluents of sewage plants. Together, our data suggest that these aptamers may be applicable as molecular receptors in biosensors or as catcher molecules in filter systems for improved monitoring and treatment of polluted water.

  10. SEMAT — The Next Generation of Inexpensive Marine Environmental Monitoring and Measurement Systems

    PubMed Central

    Trevathan, Jarrod; Johnstone, Ron; Chiffings, Tony; Atkinson, Ian; Bergmann, Neil; Read, Wayne; Theiss, Susan; Myers, Trina; Stevens, Tom

    2012-01-01

    There is an increasing need for environmental measurement systems to further science and thereby lead to improved policies for sustainable management. Marine environments are particularly hostile and extremely difficult for deploying sensitive measurement systems. As a consequence the need for data is greatest in marine environments, particularly in the developing economies/regions. Expense is typically the most significant limiting factor in the number of measurement systems that can be deployed, although technical complexity and the consequent high level of technical skill required for deployment and servicing runs a close second. This paper describes the Smart Environmental Monitoring and Analysis Technologies (SEMAT) project and the present development of the SEMAT technology. SEMAT is a “smart” wireless sensor network that uses a commodity-based approach for selecting technologies most appropriate to the scientifically driven marine research and monitoring domain/field. This approach allows for significantly cheaper environmental observation systems that cover a larger geographical area and can therefore collect more representative data. We describe SEMAT's goals, which include: (1) The ability to adapt and evolve; (2) Underwater wireless communications; (3) Short-range wireless power transmission; (4) Plug and play components; (5) Minimal deployment expertise; (6) Near real-time analysis tools; and (7) Intelligent sensors. This paper illustrates how the capacity of the system has been improved over three iterations towards realising these goals. The result is an inexpensive and flexible system that is ideal for short-term deployments in shallow coastal and other aquatic environments. PMID:23012567

  11. Generation and characterization of quinolone-specific DNA aptamers suitable for water monitoring.

    PubMed

    Reinemann, C; Freiin von Fritsch, U; Rudolph, S; Strehlitz, B

    2016-03-15

    Quinolones are antibiotics that are accredited in human and veterinary medicine but are regularly used in high quantities also in industrial livestock farming. Since these compounds are often only incompletely metabolized, significant amounts contaminate the aquatic environment and negatively impact on a variety of different ecosystems. Although there is increasing awareness of problems caused by pharmaceutical pollution, available methods for the detection and elimination of numerous pharmaceutical residues are currently inefficient or expensive. While this also applies to antibiotics that may lead to multi-drug resistance in pathogenic bacteria, aptamer-based technologies potentially offer alternative approaches for sensitive and efficient monitoring of pharmaceutical micropollutants. Using the Capture-SELEX procedure, we here describe the selection of an aptamer pool with enhanced binding qualities for fluoroquinolones, a widely used group of antibiotics in both human and veterinary medicine. The selected aptamers were shown to detect various quinolones with high specificity, while specific binding activities to structurally unrelated drugs were not detectable. The quinolone-specific aptamers bound to ofloxacin, one of the most frequently prescribed fluoroquinolone, with high affinity (KD=0.1-56.9 nM). The functionality of quinolone-specific aptamers in real water samples was demonstrated in local tap water and in effluents of sewage plants. Together, our data suggest that these aptamers may be applicable as molecular receptors in biosensors or as catcher molecules in filter systems for improved monitoring and treatment of polluted water. PMID:26547431

  12. A methodology for hard/soft information fusion in the condition monitoring of aircraft

    NASA Astrophysics Data System (ADS)

    Bernardo, Joseph T.

    2013-05-01

    Condition-based maintenance (CBM) refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. Traditionally, CBM involves equipping machinery with electronic sensors that continuously monitor components and collect data for analysis. The addition of the multisensory capability of human cognitive functions (i.e., sensemaking, problem detection, planning, adaptation, coordination, naturalistic decision making) to traditional CBM may create a fuller picture of machinery condition. Cognitive systems engineering techniques provide an opportunity to utilize a dynamic resource—people acting as soft sensors. The literature is extensive on techniques to fuse data from electronic sensors, but little work exists on fusing data from humans with that from electronic sensors (i.e., hard/soft fusion). The purpose of my research is to explore, observe, investigate, analyze, and evaluate the fusion of pilot and maintainer knowledge, experiences, and sensory perceptions with digital maintenance resources. Hard/soft information fusion has the potential to increase problem detection capability, improve flight safety, and increase mission readiness. This proposed project consists the creation of a methodology that is based upon the Living Laboratories framework, a research methodology that is built upon cognitive engineering principles1. This study performs a critical assessment of concept, which will support development of activities to demonstrate hard/soft information fusion in operationally relevant scenarios of aircraft maintenance. It consists of fieldwork, knowledge elicitation to inform a simulation and a prototype.

  13. ScolioMedIS: web-oriented information system for idiopathic scoliosis visualization and monitoring.

    PubMed

    Devedžić, Goran; Cuković, Saša; Luković, Vanja; Milošević, Danijela; Subburaj, K; Luković, Tanja

    2012-11-01

    Adolescent idiopathic scoliosis is the most common type of abnormal curvature observed in spine and it progresses rapidly during the puberty period. The most followed clinical way of assessing the spinal deformity is subjective by measuring the characteristic angles of spinal curve from a set of radiographic images. This paper presents a web-based information system (called ScolioMedIS) based on parameterized 3D anatomical models of the spine to quantitatively assess the deformity and to minimize the amount of radiation exposure by reducing the number of radiographs required. The main components of the system are 3D parametric solid model of spine, back surfaces, relevant clinical information and scoliosis ontology. The patient-specific spine model is regenerated from the parametric model and surface data using anatomical information extracted from radiographic images. The system is designed to take inherent advantage of Web for facilitating multi-center data collection and collaborative clinical decisions. The preliminary analysis of patient data showed promising results, which involve improved documentation standard, clinical decision knowledge base record, facilitated exchange and retrieval of medical data between institutions in multi-center clinical studies, 3D visualization of spinal deformity, and permanent monitoring of treatments.

  14. Knowledge structure of form specification of the next generation GPS information system

    NASA Astrophysics Data System (ADS)

    Lu, Wenlong; Liu, Xiaojun; Jiang, Xiangqian; Xu, Zhengao

    2006-11-01

    The next generation GPS (Dimensional and Geometrical Product Specification and Verification) is a very important basic technique standard system for manufacturing that aims to enrich the GPS specification language to express the functional requirements of the products, thus to reduce the correlation uncertainty and specification uncertainty, etc. On one facet, it seems that the indication may be richer, precise, and therefore more verbose, and thus probably to take longer time for design. And on another facet, the designer can't use the standards effectively even if he has a well comprehension of them. To resolve the problem, this paper proposes a GPS information system, which will further help to reduce the development cycle and the cost of the products greatly. Acquisition and representation of knowledge are one of the most difficult steps on successfully developing of the knowledge base of this GPS information system, because it affects the development efficiency, speed, and maintenance of the system as data structure in ordinary programming. For knowledge modeling of this GPS information system, a new modeling mechanism based on category theory is put forward in this paper. The knowledge model based on category theory is called Geometrical Knowledge Model (GKM). This information system is built up on the category theory due to its formality and high level of abstraction. Finally, the basic knowledge structure of the next generation GPS roundness specification is given in the paper.

  15. New approach to information fusion for Lipschitz classifiers ensembles: Application in multi-channel C-OTDR-monitoring systems

    NASA Astrophysics Data System (ADS)

    Timofeev, Andrey V.; Egorov, Dmitry V.

    2016-06-01

    This paper presents new results concerning selection of an optimal information fusion formula for an ensemble of Lipschitz classifiers. The goal of information fusion is to create an integral classificatory which could provide better generalization ability of the ensemble while achieving a practically acceptable level of effectiveness. The problem of information fusion is very relevant for data processing in multi-channel C-OTDR-monitoring systems. In this case we have to effectively classify targeted events which appear in the vicinity of the monitored object. Solution of this problem is based on usage of an ensemble of Lipschitz classifiers each of which corresponds to a respective channel. We suggest a brand new method for information fusion in case of ensemble of Lipschitz classifiers. This method is called "The Weighing of Inversely as Lipschitz Constants" (WILC). Results of WILC-method practical usage in multichannel C-OTDR monitoring systems are presented.

  16. Report of Informal Working Group on Measuring and Monitoring Site Ties

    NASA Astrophysics Data System (ADS)

    Gipson, J. M.; Behrend, D.; Ma, C.; Meertens, C.; Pearlman, M.; Nothnagel, A.; Sarti, P.; Aiken, C.; Fancher, K.; Foster, J.; Richardson, J.; Lokken, D.; Long, J.; Stowers, D.

    2008-12-01

    Precise measurement and maintenance of the Terrestrial Reference Frame (TRF) is essential to long-term monitoring of global change. The TRF is realized through the integration of high precision GNSS, SLR, VLBI and DORIS networks. Each of these techniques has unique strengths and weaknesses. Station positions and velocities from the different techniques are combined to obtain the most accurate and robust TRF. An essential ingredient in this combination is the local eccentricity vectors at collocation sites. Hence accurate measurement of this vector is very important. At a few sites different techniques give different results for site position evolution. Determining the cause of this requires re-measuring the eccentricity vectors. The problem is further complicated because the "invariant point" for most techniques cannot be measured directly, and must be inferred. In September 2008 an informal working group with representatives from most of the space geodesy techniques looked at the application of new surveying and measuring technologies to improve the measurement and the monitoring of local ties. We looked at factors such as ease of use, ability to automate, and cost. We also studied issues such as site layout and monumentation. We report on our conclusions from this workshop and plans for future work. One goal is to perform a proof of concept experiment in the near future. We welcome input from the global geodetic community.

  17. An Integrated Approach for Pollution Monitoring: Smart Acquirement and Smart Information

    NASA Astrophysics Data System (ADS)

    Arco, E.; Boccardo, P.; Gandino, F.; Lingua, A.; Noardo, F.; Rebaudengo, M.

    2016-09-01

    Air quality is a factor of primary importance for the quality of life. The increase of the pollutants percentage in the air can cause serious problems to the human and environmental health. For this reason it is essential to monitor its values to prevent the consequences of an excessive concentration, to reduce the pollution production or to avoid the contact with major pollutant concentration through the available tools. Some recently developed tools for the monitoring and sharing of the data in an effective system permit to manage the information in a smart way, in order to improve the knowledge of the problem and, consequently, to take preventing measures in favour of the urban air quality and human health. In this paper, the authors describe an innovative solution that implements geomatics sensors (GNSS) and pollutant measurement sensors to develop a low cost sensor for the acquisition of pollutants dynamic data using a mobile platform based on bicycles. The acquired data can be analysed to evaluate the local distribution of pollutant density and shared through web platforms that use standard protocols for an effective smart use.

  18. Geographic information system as country-level development and monitoring tool, Senegal example

    USGS Publications Warehouse

    Moore, Donald G.; Howard, Stephen M.; ,

    1990-01-01

    Geographic information systems (GIS) allow an investigator the capability to merge and analyze numerous types of country-level resource data. Hypothetical resource analysis applications in Senegal were conducted to illustrate the utility of a GIS for development planning and resource monitoring. Map and attribute data for soils, vegetation, population, infrastructure, and administrative units were merged to form a database within a GIS. Several models were implemented using a GIS to: analyze development potential for sustainable dryland agriculture; prioritize where agricultural development should occur based upon a regional food budget; and monitor dynamic events with remote sensing. The steps for implementing a GIS analysis are described and illustrated, and the use of a GIS for conducting an economic analysis is outlined. Using a GIS for analysis and display of results opens new methods of communication between resource scientists and decision makers. Analyses yielding country-wide map output and detailed statistical data for each level of administration provide the advantage of a single system that can serve a variety of users.

  19. Tissue-Informative Mechanism for Wearable Non-invasive Continuous Blood Pressure Monitoring

    NASA Astrophysics Data System (ADS)

    Woo, Sung Hun; Choi, Yun Young; Kim, Dae Jung; Bien, Franklin; Kim, Jae Joon

    2014-10-01

    Accurate continuous direct measurement of the blood pressure is currently available thru direct invasive methods via intravascular needles, and is mostly limited to use during surgical procedures or in the intensive care unit (ICU). Non-invasive methods that are mostly based on auscultation or cuff oscillometric principles do provide relatively accurate measurement of blood pressure. However, they mostly involve physical inconveniences such as pressure or stress on the human body. Here, we introduce a new non-invasive mechanism of tissue-informative measurement, where an experimental phenomenon called subcutaneous tissue pressure equilibrium is revealed and related for application in detection of absolute blood pressure. A prototype was experimentally verified to provide an absolute blood pressure measurement by wearing a watch-type measurement module that does not cause any discomfort. This work is supposed to contribute remarkably to the advancement of continuous non-invasive mobile devices for 24-7 daily-life ambulatory blood-pressure monitoring.

  20. Technique for using a geometry and visualization system to monitor and manipulate information in other codes

    NASA Technical Reports Server (NTRS)

    Dickens, Thomas P.

    1992-01-01

    A technique was developed to allow the Aero Grid and Paneling System (AGPS), a geometry and visualization system, to be used as a dynamic real-time geometry monitor, manipulator, and interrogator for other codes. This technique involves the direct connection of AGPS with one or more external codes through the use of Unix pipes. AGPS has several commands that control communication with the external program. The external program uses several special subroutines that allow simple, direct communication with AGPS. The external program creates AGPS command lines and transmits the line over the pipes or communicates on a subroutine level. AGPS executes the commands, displays graphics/geometry information, and transmits the required solutions back to the external program. The basic ideas discussed in this paper could easily be implemented in other graphics/geometry systems currently in use or under development.

  1. Feasibility of using thrombin generation assay (TGA) for monitoring of haemostasis during supplementation therapy in haemophilic patients without inhibitors.

    PubMed

    Ay, Y; Balkan, C; Karapinar, D Y; Akin, M; Bilenoğlu, B; Kavakli, K

    2012-11-01

    Monitoring factor replacement treatment and observing concordance with clinical haemostasis is crucial in vital haemorrhages and major surgeries in haemophilic patients. We aimed to investigate the value of the thrombin generation assay (TGA) and thromboelastography (TEG) for monitoring haemostasis in haemophilic patients during factor replacement treatment. The study group consisted of 29 patients (21 haemophilia A, 8 haemophilia B). All the patients FVIII-inhibitor were negative. A total of 35 bleeding episodes and/or surgical interventions were evaluated. aPTT, FVIII/FIX activity, TEG and TGA tests were conducted before and after factor therapy during the bleeding episode or surgical prophylaxis of haemophilic patients. Correlations among these tests were evaluated and compared with clinical responses. No correlation was found among aPTT, factor activities and clinical outcome. There were also no correlation found between TEG parameters and clinical outcome. The only significant correlation found between TGA parameters and clinical outcome was the correlation between peak thrombin. In conclusion, we found superiority of TGA-peak thrombin over other traditional tests for monitoring haemostasis in haemophilic patients in this study.

  2. Generating information-rich high-throughput experimental materials genomes using functional clustering via multitree genetic programming and information theory.

    PubMed

    Suram, Santosh K; Haber, Joel A; Jin, Jian; Gregoire, John M

    2015-04-13

    High-throughput experimental methodologies are capable of synthesizing, screening and characterizing vast arrays of combinatorial material libraries at a very rapid rate. These methodologies strategically employ tiered screening wherein the number of compositions screened decreases as the complexity, and very often the scientific information obtained from a screening experiment, increases. The algorithm used for down-selection of samples from higher throughput screening experiment to a lower throughput screening experiment is vital in achieving information-rich experimental materials genomes. The fundamental science of material discovery lies in the establishment of composition-structure-property relationships, motivating the development of advanced down-selection algorithms which consider the information value of the selected compositions, as opposed to simply selecting the best performing compositions from a high throughput experiment. Identification of property fields (composition regions with distinct composition-property relationships) in high throughput data enables down-selection algorithms to employ advanced selection strategies, such as the selection of representative compositions from each field or selection of compositions that span the composition space of the highest performing field. Such strategies would greatly enhance the generation of data-driven discoveries. We introduce an informatics-based clustering of composition-property functional relationships using a combination of information theory and multitree genetic programming concepts for identification of property fields in a composition library. We demonstrate our approach using a complex synthetic composition-property map for a 5 at. % step ternary library consisting of four distinct property fields and finally explore the application of this methodology for capturing relationships between composition and catalytic activity for the oxygen evolution reaction for 5429 catalyst compositions in a

  3. Generations.

    PubMed

    Chambers, David W

    2005-01-01

    Groups naturally promote their strengths and prefer values and rules that give them an identity and an advantage. This shows up as generational tensions across cohorts who share common experiences, including common elders. Dramatic cultural events in America since 1925 can help create an understanding of the differing value structures of the Silents, the Boomers, Gen Xers, and the Millennials. Differences in how these generations see motivation and values, fundamental reality, relations with others, and work are presented, as are some applications of these differences to the dental profession. PMID:16623137

  4. Accuracy and reliability of Chile's National Air Quality Information System for measuring particulate matter: Beta attenuation monitoring issue.

    PubMed

    Toro A, Richard; Campos, Claudia; Molina, Carolina; Morales S, Raul G E; Leiva-Guzmán, Manuel A

    2015-09-01

    A critical analysis of Chile's National Air Quality Information System (NAQIS) is presented, focusing on particulate matter (PM) measurement. This paper examines the complexity, availability and reliability of monitoring station information, the implementation of control systems, the quality assurance protocols of the monitoring station data and the reliability of the measurement systems in areas highly polluted by particulate matter. From information available on the NAQIS website, it is possible to confirm that the PM2.5 (PM10) data available on the site correspond to 30.8% (69.2%) of the total information available from the monitoring stations. There is a lack of information regarding the measurement systems used to quantify air pollutants, most of the available data registers contain gaps, almost all of the information is categorized as "preliminary information" and neither standard operating procedures (operational and validation) nor assurance audits or quality control of the measurements are reported. In contrast, events that cause saturation of the monitoring detectors located in northern and southern Chile have been observed using beta attenuation monitoring. In these cases, it can only be concluded that the PM content is equal to or greater than the saturation concentration registered by the monitors and that the air quality indexes obtained from these measurements are underestimated. This occurrence has been observed in 12 (20) public and private stations where PM2.5 (PM10) is measured. The shortcomings of the NAQIS data have important repercussions for the conclusions obtained from the data and for how the data are used. However, these issues represent opportunities for improving the system to widen its use, incorporate comparison protocols between equipment, install new stations and standardize the control system and quality assurance.

  5. Reusing information for high-level fusion: characterizing bias and uncertainty in human-generated intelligence

    NASA Astrophysics Data System (ADS)

    Burke, Dustin; Carlin, Alan; Picciano, Paul; Levchuk, Georgiy; Riordan, Brian

    2013-05-01

    To expedite the intelligence collection process, analysts reuse previously collected data. This poses the risk of analysis failure, because these data are biased in ways that the analyst may not know. Thus, these data may be incomplete, inconsistent or incorrect, have structural gaps and limitations, or simply be too old to accurately represent the current state of the world. Incorporating human-generated intelligence within the high-level fusion process enables the integration of hard (physical sensors) and soft information (human observations) to extend the ability of algorithms to associate and merge disparate pieces of information for a more holistic situational awareness picture. However, in order for high-level fusion systems to manage the uncertainty in soft information, a process needs to be developed for characterizing the sources of error and bias specific to human-generated intelligence and assessing the quality of this data. This paper outlines an approach Towards Integration of Data for unBiased Intelligence and Trust (TID-BIT) that implements a novel Hierarchical Bayesian Model for high-level situation modeling that allows the analyst to accurately reuse existing data collected for different intelligence requirements. TID-BIT constructs situational, semantic knowledge graphs that links the information extracted from unstructured sources to intelligence requirements and performs pattern matching over these attributed-network graphs for integrating information. By quantifying the reliability and credibility of human sources, TID-BIT enables the ability to estimate and account for uncertainty and bias that impact the high-level fusion process, resulting in improved situational awareness.

  6. Subgraphs Matching-Based Side Information Generation for Distributed Multiview Video Coding

    NASA Astrophysics Data System (ADS)

    Xiong, Hongkai; Lv, Hui; Zhang, Yongsheng; Song, Li; He, Zhihai; Chen, Tsuhan

    2010-12-01

    We adopt constrained relaxation for distributed multiview video coding (DMVC). The novel framework integrates the graph-based segmentation and matching to generate interview correlated side information without knowing the camera parameters, inspired by subgraph semantics and sparse decomposition of high-dimensional scale invariant feature data. The sparse data as a good hypothesis space aim for a best matching optimization of interview side information with compact syndromes, from inferred relaxed coset. The plausible filling-in from a priori feature constraints between neighboring views could reinforce a promising compensation to interview side-information generation for joint multiview decoding. The graph-based representations of multiview images are adopted as constrained relaxation, which assists the interview correlation matching for subgraph semantics of the original Wyner-Ziv image by the graph-based image segmentation and the associated scale invariant feature detector MSER (maximally stable extremal regions) and descriptor SIFT (scale-invariant feature transform). In order to find a distinctive feature matching with a more stable approximation, linear (PCA-SIFT) and nonlinear projections (Locally linear embedding) are adopted to reduce the dimension SIFT descriptors, and TPS (thin plate spline) warping model is to catch a more accurate interview motion model. The experimental results validate the high-estimation precision and the rate-distortion improvements.

  7. Entanglement generation and quantum information transfer between spatially-separated qubits in different cavities

    NASA Astrophysics Data System (ADS)

    Yang, Chui-Ping; Su, Qi-Ping; Nori, Franco

    2013-11-01

    The generation and control of quantum states of spatially-separated qubits distributed in different cavities constitute fundamental tasks in cavity quantum electrodynamics (QED). An interesting question in this context is how to prepare entanglement and realize quantum information transfer between qubits located at different cavities, which are important in large-scale quantum information processing. In this paper, we consider a physical system consisting of two cavities and three qubits. Two of the qubits are placed in two different cavities while the remaining one acts as a coupler, which is used to connect the two cavities. We propose an approach for generating quantum entanglement and implementing quantum information transfer between the two spatially-separated inter-cavity qubits. The quantum operations involved in this proposal are performed by a virtual photon process; thus the cavity decay is greatly suppressed during operations. In addition, to complete these tasks, only one coupler qubit and one operation step are needed. Moreover, there is no need to apply classical pulses, so that the engineering complexity is much reduced and the operation procedure is greatly simplified. Finally, our numerical results illustrate that high-fidelity implementation of this proposal using superconducting phase qubits and one-dimensional transmission line resonators is feasible for current circuit QED implementations. This proposal can also be applied to other types of superconducting qubits, including flux and charge qubits.

  8. Coordinated Information Generation and Mental Flexibility: Large-Scale Network Disruption in Children with Autism

    PubMed Central

    Mišić, Bratislav; Doesburg, Sam M.; Fatima, Zainab; Vidal, Julie; Vakorin, Vasily A.; Taylor, Margot J.; McIntosh, Anthony R.

    2015-01-01

    Autism spectrum disorder (ASD) includes deficits in social cognition, communication, and executive function. Recent neuroimaging studies suggest that ASD disrupts the structural and functional organization of brain networks and, presumably, how they generate information. Here, we relate deficits in an aspect of cognitive control to network-level disturbances in information processing. We recorded magnetoencephalography while children with ASD and typically developing controls performed a set-shifting task designed to test mental flexibility. We used multiscale entropy (MSE) to estimate the rate at which information was generated in a set of sources distributed across the brain. Multivariate partial least-squares analysis revealed 2 distributed networks, operating at fast and slow time scales, that respond completely differently to set shifting in ASD compared with control children, indicating disrupted temporal organization within these networks. Moreover, when typically developing children engaged these networks, they achieved faster reaction times. When children with ASD engaged these networks, there was no improvement in performance, suggesting that the networks were ineffective in children with ASD. Our data demonstrate that the coordination and temporal organization of large-scale neural assemblies during the performance of cognitive control tasks is disrupted in children with ASD, contributing to executive function deficits in this group. PMID:24770713

  9. Optical monitoring of singlet oxygen generation during photodynamic treatment of tumors

    SciTech Connect

    Parker, J.G.

    1987-01-01

    Optical detection of singlet oxygen production accompanying continuous-wave (CW) laser irradiation of subcutaneous murine tumors at 630 nm following prior intraperitoneal injection of a Photofrin II sensitizer has been demonstrated. In order to separate the spectrally discrete, time-delayed, singlet oxygen emission from the dominant, spectrally diffuse, coherent background provided by the combination of sensitizer infrared fluorescence and tissue-related autofluorescence, chopping of the incident laser beam was required. Using the infrared fluorescence to provide a reference, the singlet oxygen emission is shown to be given directly by the frequency-dependent quadrature component of the detector output. Maximum detector quadrature output for the in vivo case was obtained for a chopping frequency between 10 and 20 kHz. The spectral variation of the emission from the tumor was obtained and identified as that characteristic of singlet oxygen. This demonstration provides the rationale for the development of a clinically useful electro-optical system to provide a realistic means for monitoring treatment effectiveness during the photodynamic therapy of tumors as well as the establishment of much-needed dosimetry standards. It is expected that, in the future, development of this capbility will provide an analytical, quantitative means to remove some of the mysteries now impeding progress in this important area of medicine.

  10. The Role of Hospital Information Systems in Universal Health Coverage Monitoring in Rwanda.

    PubMed

    Karara, Gustave; Verbeke, Frank; Nyssen, Marc

    2015-01-01

    In this retrospective study, the authors monitored the patient health coverage in 6 Rwandan hospitals in the period between 2011 and 2014. Among the 6 hospitals, 2 are third level hospitals, 2 district hospitals and 2 private hospitals. Patient insurance and financial data were extracted and analyzed from OpenClinic GA, an open source hospital information system (HIS) used in those 6 hospitals. The percentage of patients who had no health insurer globally decreased from 35% in 2011 to 15% in 2014. The rate of health insurance coverage in hospitals varied between 75% in private hospitals and 84% in public hospitals. The amounts paid by the patients for health services decreased in private hospitals to 25% of the total costs in 2014 (-7.4%) and vary between 14% and 19% in public hospitals. Although the number of insured patients has increased and the patient share decreased over the four years of study, the patients' out-of-pocket payments increased especially for in-patients. This study emphasizes the value of integrated hospital information systems for this kind of health economics research in developing countries.

  11. Real-time soil compaction monitoring through pad strain measurements: modeling to inform strain gage placement

    NASA Astrophysics Data System (ADS)

    Kimmel, Shawn C.; Mooney, Michael A.

    2011-04-01

    Soil compaction monitoring is critical to earthwork projects, including roadways, earth dams, and levees. Current methods require a halt of production, and provide at best sparse coverage. A system is proposed for static pad foot soil compaction to provide real-time feedback at higher spatial resolutions through machine integrated sensors. The system is composed of pad sensors that measure total normal force and contact stress distribution (CSD), laser sensors that measure soil deflection, and GPS to spatially reference measurements. By combining these measurements, soil stiffness and potentially modulus can be determined. This paper discusses the development of the force and CSD sensing pad. The concept is to instrument individual pads with strain gages to determine loading conditions. Modeling is used to inform strain gage positioning through pad strain behavior analysis of different simulated soil conditions. The finite element analysis (FEA) of a Caterpillar pad is discussed, including formulation and rationale for the various model parameters. The loading parameters are explained, including the range of force magnitudes experienced throughout compaction and the CSD elicited by various soils. The results of this analysis are presented, and show that pad strain is sensitive to both force magnitude and CSD. Specific strain trends are identified in the sidewall and bottom face of the pad which are particularly sensitive to the loading variables. Strain gage placements are proposed that capture the identified trends, thereby providing definitive information on total normal force and CSD.

  12. Monitoring of In-Field Variability for Site Specific Crop Management Through Open Geospatial Information

    NASA Astrophysics Data System (ADS)

    Řezník, T.; Lukas, V.; Charvát, K.; Charvát, K., Jr.; Horáková, Š.; Křivánek, Z.; Herman, L.

    2016-06-01

    The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1'284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

  13. Empirical and Theoretical Aspects of Generation and Transfer of Information in a Neuromagnetic Source Network

    PubMed Central

    Vakorin, Vasily A.; Mišić, Bratislav; Krakovska, Olga; McIntosh, Anthony Randal

    2011-01-01

    Variability in source dynamics across the sources in an activated network may be indicative of how the information is processed within a network. Information-theoretic tools allow one not only to characterize local brain dynamics but also to describe interactions between distributed brain activity. This study follows such a framework and explores the relations between signal variability and asymmetry in mutual interdependencies in a data-driven pipeline of non-linear analysis of neuromagnetic sources reconstructed from human magnetoencephalographic (MEG) data collected as a reaction to a face recognition task. Asymmetry in non-linear interdependencies in the network was analyzed using transfer entropy, which quantifies predictive information transfer between the sources. Variability of the source activity was estimated using multi-scale entropy, quantifying the rate of which information is generated. The empirical results are supported by an analysis of synthetic data based on the dynamics of coupled systems with time delay in coupling. We found that the amount of information transferred from one source to another was correlated with the difference in variability between the dynamics of these two sources, with the directionality of net information transfer depending on the time scale at which the sample entropy was computed. The results based on synthetic data suggest that both time delay and strength of coupling can contribute to the relations between variability of brain signals and information transfer between them. Our findings support the previous attempts to characterize functional organization of the activated brain, based on a combination of non-linear dynamics and temporal features of brain connectivity, such as time delay. PMID:22131968

  14. Monitoring process of human keloid formation based on second harmonic generation imaging

    NASA Astrophysics Data System (ADS)

    Jiang, X. S.; Chen, S.; Chen, J. X.; Zhu, X. Q.; Zheng, L. Q.; Zhuo, S. M.; Wang, D. J.

    2011-09-01

    In this paper, the morphological variation of collagen among the whole dermis from keloid tissue was investigated using second harmonic generation (SHG) microscopy. In the deep dermis of keloids, collagen bundles show apparently regular gap. In the middle dermis, the collagen bundles are randomly oriented and loosely arranged in the pattern of fine mesh while the collagen bundles are organized in a parallel manner in the superficial dermis near the epidermis. The developed parameters COI and BD can be used to further quantitatively describe these changes. Our results demonstrate the potential of SHG microscopy to understand the formation process of human keloid scar at the cellular level through imaging collagen variations in different depth of dermis.

  15. Waste container weighing data processing to create reliable information of household waste generation.

    PubMed

    Korhonen, Pirjo; Kaila, Juha

    2015-05-01

    Household mixed waste container weighing data was processed by knowledge discovery and data mining techniques to create reliable information of household waste generation. The final data set included 27,865 weight measurements covering the whole year 2013 and it was selected from a database of Helsinki Region Environmental Services Authority, Finland. The data set contains mixed household waste arising in 6m(3) containers and it was processed identifying missing values and inconsistently low and high values as errors. The share of missing values and errors in the data set was 0.6%. This provides evidence that the waste weighing data gives reliable information of mixed waste generation at collection point level. Characteristic of mixed household waste arising at the waste collection point level is a wide variation between pickups. The seasonal variation pattern as a result of collective similarities in behaviour of households was clearly detected by smoothed medians of waste weight time series. The evaluation of the collection time series against the defined distribution range of pickup weights on the waste collection point level shows that 65% of the pickups were from collection points with optimally dimensioned container capacity and the collection points with over- and under-dimensioned container capacities were noted in 9.5% and 3.4% of all pickups, respectively. Occasional extra waste in containers occurred in 21.2% of the pickups indicating the irregular behaviour of individual households. The results of this analysis show that processing waste weighing data using knowledge discovery and data mining techniques provides trustworthy information of household waste generation and its variations.

  16. Waste container weighing data processing to create reliable information of household waste generation.

    PubMed

    Korhonen, Pirjo; Kaila, Juha

    2015-05-01

    Household mixed waste container weighing data was processed by knowledge discovery and data mining techniques to create reliable information of household waste generation. The final data set included 27,865 weight measurements covering the whole year 2013 and it was selected from a database of Helsinki Region Environmental Services Authority, Finland. The data set contains mixed household waste arising in 6m(3) containers and it was processed identifying missing values and inconsistently low and high values as errors. The share of missing values and errors in the data set was 0.6%. This provides evidence that the waste weighing data gives reliable information of mixed waste generation at collection point level. Characteristic of mixed household waste arising at the waste collection point level is a wide variation between pickups. The seasonal variation pattern as a result of collective similarities in behaviour of households was clearly detected by smoothed medians of waste weight time series. The evaluation of the collection time series against the defined distribution range of pickup weights on the waste collection point level shows that 65% of the pickups were from collection points with optimally dimensioned container capacity and the collection points with over- and under-dimensioned container capacities were noted in 9.5% and 3.4% of all pickups, respectively. Occasional extra waste in containers occurred in 21.2% of the pickups indicating the irregular behaviour of individual households. The results of this analysis show that processing waste weighing data using knowledge discovery and data mining techniques provides trustworthy information of household waste generation and its variations. PMID:25765610

  17. Three generations of wireless sensor networks to monitor the soil ecosystem (Invited)

    NASA Astrophysics Data System (ADS)

    Szlavecz, K. A.

    2013-12-01

    Capturing soil spatio-temporal heterogeneity is a considerable challenge. We designed, built and deployed three generations of wireless sensor networks to measure soil temperature, moisture, CO2 concentration and efflux. In the past eight years the system was tested in a high altitude desert, tropical and temperate forests, and in croplands. We developed Grazor, a graphic web interface for visualizing, exploring, and downloading data. Since 2005, our first field deployment, we have collected over 160 million data points, all stored in our persistent database. Our largest and longest experiment took place in a residential neighborhood in Baltimore, MD. A total of 108 soil moisture sensors were installed in urban soils covered by forest and grass. The system successfully captured spatial heterogeneity, transient events, such as Hurricane Irene, and highlighted habitat differences. However, issues such as waterproofing, battery consumption, mote failure and scale of deployment still need to be addressed. Improvements in our third generation hardware and software are based upon lessons learned from earlier deployments. In the new hardware, rather than having a single device that does everything (analog sensing, data storage, and routing), we have developed an analog sensor board and a separate wireless sensor mote. The latter can be configured as a leaf (with an antenna printed directly on the circuit board) or as a router (with a power amplifier and an external antenna connector). Additional sensors with an industry standard I2C interface can also be connected to the mote. The cost of each unit is 20$, and the software is user friendly for the non-computer scientist. We are currently testing this system in the Smithsonian Environmental Research Center, MD. Cumulative number of data collected in the Life Under Your Feet project. Major hardware changes are marked with vertical lines, while horizontal lines show the start and end of deployments.

  18. On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers, Volumes 1, 2

    SciTech Connect

    Upadhyaya, Belle R.; Hines, J. Wesley; Lu, Baofu

    2005-06-03

    The overall purpose of this Nuclear Engineering Education Research (NEER) project was to integrate new, innovative, and existing technologies to develop a fault diagnostics and characterization system for nuclear plant steam generators (SG) and heat exchangers (HX). Issues related to system level degradation of SG and HX tubing, including tube fouling, performance under reduced heat transfer area, and the damage caused by stress corrosion cracking, are the important factors that influence overall plant operation, maintenance, and economic viability of nuclear power systems. The research at The University of Tennessee focused on the development of techniques for monitoring process and structural integrity of steam generators and heat exchangers. The objectives of the project were accomplished by the completion of the following tasks. All the objectives were accomplished during the project period. This report summarizes the research and development activities, results, and accomplishments during June 2001 September 2004. Development and testing of a high-fidelity nodal model of a U-tube steam generator (UTSG) to simulate the effects of fouling and to generate a database representing normal and degraded process conditions. Application of the group method of data handling (GMDH) method for process variable prediction. Development of a laboratory test module to simulate particulate fouling of HX tubes and its effect on overall thermal resistance. Application of the GMDH technique to predict HX fluid temperatures, and to compare with the calculated thermal resistance.Development of a hybrid modeling technique for process diagnosis and its evaluation using laboratory heat exchanger test data. Development and testing of a sensor suite using piezo-electric devices for monitoring structural integrity of both flat plates (beams) and tubing. Experiments were performed in air, and in water with and without bubbly flow. Development of advanced signal processing methods using

  19. Monitoring ocean heat content from the current generation of global ocean observing systems

    NASA Astrophysics Data System (ADS)

    von Schuckmann, K.; Sallée, J.-B.; Chambers, D.; Le Traon, P.-Y.; Cabanes, C.; Gaillard, F.; Speich, S.; Hamon, M.

    2013-06-01

    Variations in the world's ocean heat storage and its associated volume changes are a key factor to gauge global warming and to assess the Earth's energy budget. It is also directly link to sea level change, which has a direct impact on coastal populations. Understanding and monitoring heat and sea level change is therefore one of the major legacies of current global ocean observing systems. In this study, we present an inter-comparison of the three of these global ocean observing systems: the ocean temperature/salinity network Argo, the gravimeter GRACE and the satellite altimeters. Their consistency is investigated at global and regional scale during the period 2005-2010 of overlapping time window of re-qualified data. These three datasets allow closing the recent global ocean sea level budget within uncertainties. However, sampling inconsistencies need to be corrected for an accurate budget at global scale. The Argo network allows estimating global ocean heat content and global sea level and reveals a positive change of 0.5 ± 0.1W m-2 and 0.5 ± 0.1 mm yr-1 over the last 8 yr (2005-2012). Regional inter-comparison of the global observing systems highlights the importance of specific ocean basins for the global estimates. Specifically, the Indonesian Archipelago appears as a key region for the global ocean variability. Both the large regional variability and the uncertainties in the current observing systems, prevent us to shed light, from the global sea level perspective, on the climatically important deep ocean changes. This emphasises, once more, the importance of continuing sustained effort in measuring the deep ocean from ship platforms and by setting up a much needed automated deep-Argo network.

  20. Precipitation variability within an urban monitoring network in terms of microcanonical cascade generators

    NASA Astrophysics Data System (ADS)

    Licznar, P.; De Michele, C.; Adamowski, W.

    2014-05-01

    Understanding the variability of precipitation at small scales is fundamental in urban hydrology. Stochastic models of precipitation are required to feed hydrodynamic models with high resolution data, in order to obtain a probabilistic assessment of urban drainage networks. Microcanonical random cascades are considered here to represent precipitation time series collected in 25 gauges of a monitoring network in Warsaw, Poland. Breakdown coefficients (BDCs) are calculated separately for a hierarchy of subdaily timescales from 5 min (time resolution) to 1280 min, for all gauges. Strong deformations of BDC histograms in form of sharp peaks at small timescales are observed due to the truncation of precipitation depths recorded by gauges. Satisfactory smoothing of empirical BDC histograms is obtained statistically by a slight randomization of nonzero precipitation amounts. The scarce representation of BDCs at large timescales, due to the short period of observation, is solved by the introduction of an algorithm based on overlapping moving windows. BDC histograms are modeled by a 2N-B distribution, which combines two Normal (N) and one Beta (B) distribution. A clear evolution of the distribution from 2N-B at small timescales, to N-B at intermediate timescales, and finally to Beta distribution for large timescales is observed in all gauges. The performance of the microcanonical cascades is evaluated for the considered gauges. Synthetic time series are analyzed with respect to their intermittency and variability of intensity, and compared to observed series. BDC histograms, for each timescale, are compared among the 25 gauges in Warsaw, and with other gauges located in Poland and Germany. The cluster analysis is used to identify patterns of BDC histograms among analyzed set of gauges and timescales, as well as to detect outlier gauges.

  1. Socialization and Information Horizons: Source Use Behavior of First-Generation and Continuing-Generation College Students

    ERIC Educational Resources Information Center

    Tsai, Tien-I

    2013-01-01

    First-generation college (FGC) students have been described as an underrepresented group in comparison to their continuing-generation counterparts (non-FGC students). Studying college students' socialization experiences and their use of academic resources can help us understand how to facilitate their academic success. Incorporating…

  2. On-line structural integrity monitoring and defect diagnosis of steam generators using analysis of guided acoustic waves

    NASA Astrophysics Data System (ADS)

    Lu, Baofu

    2005-11-01

    Integrity monitoring and flaw diagnostics of flat beams and tubular structures was investigated in this research using guided acoustic signals. The primary objective was to study the feasibility of using imbedded sensors for monitoring steam generator and heat exchanger tubing. A piezo-sensor suite was deployed to activate and collect Lamb wave signals that propagate along metallic specimens. The dispersion curves of Lamb waves along plate and tubular structures were generated through numerical analysis. Several advanced techniques were explored to extract representative features from acoustic time series. Among them, the Hilbert-Huang transform (HHT) is a recently developed technique for the analysis of non-linear and transient signals. A moving window method was introduced to generate the local peak characters from acoustic time series, and a zooming window technique was developed to localize the structural flaws. The dissertation presents the background of the analysis of acoustic signals acquired from piezo-electric transducers for structural defect monitoring. A comparison of the use of time-frequency techniques, including the Hilbert-Huang transform, is presented. It also presents the theoretical study of Lamb wave propagation in flat beams and tubular structures, and the need for mode separation in order to effectively perform defect diagnosis. The results of an extensive experimental study of detection, location, and isolation of structural defects in flat aluminum beams and brass tubes are presented. The time-frequency analysis and pattern recognition techniques were combined for classifying structural defects in brass tubes. Several types of flaws in brass tubes were tested, both in the air and in water. The techniques also proved to be effective under background/process noise. A detailed theoretical analysis of Lamb wave propagation was performed and simulations were carried out using the finite element software system ABAQUS. This analytical study

  3. Accident Generated Particulate Materials and Their Characteristics -- A Review of Background Information

    SciTech Connect

    Sutter, S. L.

    1982-05-01

    Safety assessments and environmental impact statements for nuclear fuel cycle facilities require an estimate of the amount of radioactive particulate material initially airborne (source term) during accidents. Pacific Northwest Laboratory (PNL) has surveyed the literature, gathering information on the amount and size of these particles that has been developed from limited experimental work, measurements made from operational accidents, and known aerosol behavior. Information useful for calculating both liquid and powder source terms is compiled in this report. Potential aerosol generating events discussed are spills, resuspension, aerodynamic entrainment, explosions and pressurized releases, comminution, and airborne chemical reactions. A discussion of liquid behavior in sprays, sparging, evaporation, and condensation as applied to accident situations is also included.

  4. Protection of quantum information and optimal singlet conversion through higher-dimensional quantum systems and environment monitoring

    SciTech Connect

    Mascarenhas, E.; Marques, B.; Santos, M. Franca; Cavalcanti, D.; Cunha, M. Terra

    2010-03-15

    We study how to protect quantum information in quantum systems subjected to local dissipation. We show that combining the use of three-level systems, environment monitoring, and local feedback can fully and deterministically protect any available quantum information, including entanglement initially shared by different parties. These results can represent a gain in resources and/or distances in quantum communication protocols such as quantum repeaters and teleportation as well as time for quantum memories. Finally, we show that monitoring local environments physically implements the optimum singlet conversion protocol, which is essential for classical entanglement percolation.

  5. Performance assessment and adoption processes of an information monitoring and diagnostic system prototype

    SciTech Connect

    Piette, Mary Ann

    1999-10-01

    This report addresses the problem that buildings do not perform as well as anticipated during design. We partnered with an innovative building operator to evaluate a prototype Information Monitoring and Diagnostic System (IMDS). The IMDS consists of high-quality measurements archived each minute, a data visualization tool, and a web-based capability. The operators recommend similar technology be adopted in other buildings. The IMDS has been used to identify and correct a series of control problems. It has also allowed the operators to make more effective use of the building control system, freeing up time to take care of other tenant needs. They believe they have significantly improved building comfort, potentially improving tenant health, and productivity. The reduction in hours to operate the building are worth about $20,000 per year, which could pay for the IMDS in about five years. A control system retrofit based on findings from the IMDS is expected to reduce energy use by 20 percent over the next year, worth over $30,000 per year. The main conclusion of the model-based chiller fault detection work is that steady-state models can be used as reference models to monitor chiller operation and detect faults. The ability of the IMDS to measure cooling load and chiller power to one-percent accuracy with a one-minute sampling interval permits detection of additional faults. Evolutionary programming techniques were also evaluated, showing promise in the detection of patterns in building data. We also evaluated two technology adoption processes, radical and routine. In routine adoption, managers enhance features of existing products that are already well understood. In radical adoption, innovative building managers introduce novel technology into their organizations without using the rigorous payback criteria used in routine innovations.

  6. An Experimental Global Monitoring System for Rainfall-triggered Landslides using Satellite Remote Sensing Information

    NASA Technical Reports Server (NTRS)

    Hong, Yang; Adler, Robert F.; Huffman, George J.

    2006-01-01

    Landslides triggered by rainfall can possibly be foreseen in real time by jointly using rainfall intensity-duration thresholds and information related to land surface susceptibility. However, no system exists at either a national or a global scale to monitor or detect rainfall conditions that may trigger landslides due to the lack of extensive ground-based observing network in many parts of the world. Recent advances in satellite remote sensing technology and increasing availability of high-resolution geospatial products around the globe have provided an unprecedented opportunity for such a study. In this paper, a framework for developing an experimental real-time monitoring system to detect rainfall-triggered landslides is proposed by combining two necessary components: surface landslide susceptibility and a real-time space-based rainfall analysis system (http://trmm.gsfc.nasa.aov). First, a global landslide susceptibility map is derived from a combination of semi-static global surface characteristics (digital elevation topography, slope, soil types, soil texture, and land cover classification etc.) using a GIs weighted linear combination approach. Second, an adjusted empirical relationship between rainfall intensity-duration and landslide occurrence is used to assess landslide risks at areas with high susceptibility. A major outcome of this work is the availability of a first-time global assessment of landslide risk, which is only possible because of the utilization of global satellite remote sensing products. This experimental system can be updated continuously due to the availability of new satellite remote sensing products. This proposed system, if pursued through wide interdisciplinary efforts as recommended herein, bears the promise to grow many local landslide hazard analyses into a global decision-making support system for landslide disaster preparedness and risk mitigation activities across the world.

  7. Monitoring the Environment using High-Spatial Resolution Remote Sensing: Contribution to Health Information Systems

    NASA Astrophysics Data System (ADS)

    Tourre, Y. M.; Lacaux, J.

    2007-12-01

    Presence (density) of mosquitoes linked to Rift Valley Fever (RVF) epidemics in the Ferlo (Senegal) is evaluated by monitoring the environment from space. Using five SPOT-5 high-resolution images (~10m spatial resolution, on August 17th, 2006) a meridional transect of 290 x 60 km2 is analyzed for the first time. Four major ecozones are thus identified: Senegal River valley; sandy Ferlo; sandy-clayey Ferlo; and steppe/cultivated areas, from north to south, respectively. An integrated/multidisciplinary approach using remote-sensing leads to a composited Zones Potentially Occupied by Mosquitoes (or ZPOMs, with extrema). It is found that at the peak of the rainy season, the area occupied by ponds is of 12,817 ha ± 10% (i.e., ~ 0.8 % of the transect) with a mean ZPOM 17 times larger i.e.: 212,813 ha ± 10 % (or ~14 % of the transect). ZPOMs characteristics (minimum and maximum) at the ecozones levels with different hydrological mechanisms, are presented. Ponds and ZPOMs inter-annual variabilities and RVF risks, are subsequently highlighted by comparing statistics in the so-called Barkedji zone (sandy-clayey Ferlo with a hydrofossil riverbed), for the very humid year of 2003, and the near normal rainfall year of 2006. It is shown that at the end of August 2003/2006, ponds (ZPOMs) areas, were already ~22 (~5) times larger. The key roles played by isolated ponds for animals' exposure to RVF risks are thus identified. These results highlight the importance of monitoring the changing environment when linkages with public health exist. The ZPOM approach is to be adapted for other vector-borne diseases such as malaria, dengue fever, in different places of the world. Results are meant to be included into Health Information Systems (HIS) on an operational basis, in order to minimize socio-economical impacts from epidemics.

  8. Monitoring trace elements generated by automobiles: air pollutants with possible health impacts.

    PubMed

    Anwar, Khaleeq; Ejaz, Sohail; Ashraf, Muhammad; Ahmad, Nisar; Javeed, Aqeel

    2013-07-01

    Major transformations in the environmental composition are principally attributable to the combustion of fuels by automobiles. Motorized gasoline-powered two-stroke auto-rickshaws (TSA) and compressed natural gas (CNG)-powered four-stroke auto-rickshaws (FSA) are potential source of air pollution in south Asia and produce toxic amount of particulate matter (PM) to the environment. In this study, we attempted to characterize elemental pollutants from the PM of TSA and FSA using proton-induced X-ray emission (PIXE) analysis. The observations of the existing investigation recognized significant increase in Al (P < 0.05), P (P < 0.01), and Zn (P < 0.01) from the PM samples of FSA. In addition, the concentrations of Cu, Fe, K, Mg, Na and S were also observed exceeding the recommended National Institute for Environmental Studies limits. On the contrary, increased concentration of Sr and V were observed in the PM samples from TSA. It is generally believed that FSA generates smaller amount of PM but data obtained from FSA are clearly describing that emissions from FSA comprised potentially more toxic substances than TSA. The current research is specific to metropolitan population and has evidently revealed an inconsistent burden of exposure to air pollutants engendered by FSA in urban communities, which could lead to the disruption of several biological activities and may cause severe damage to entire ecological system. PMID:23263758

  9. Monitoring trace elements generated by automobiles: air pollutants with possible health impacts.

    PubMed

    Anwar, Khaleeq; Ejaz, Sohail; Ashraf, Muhammad; Ahmad, Nisar; Javeed, Aqeel

    2013-07-01

    Major transformations in the environmental composition are principally attributable to the combustion of fuels by automobiles. Motorized gasoline-powered two-stroke auto-rickshaws (TSA) and compressed natural gas (CNG)-powered four-stroke auto-rickshaws (FSA) are potential source of air pollution in south Asia and produce toxic amount of particulate matter (PM) to the environment. In this study, we attempted to characterize elemental pollutants from the PM of TSA and FSA using proton-induced X-ray emission (PIXE) analysis. The observations of the existing investigation recognized significant increase in Al (P < 0.05), P (P < 0.01), and Zn (P < 0.01) from the PM samples of FSA. In addition, the concentrations of Cu, Fe, K, Mg, Na and S were also observed exceeding the recommended National Institute for Environmental Studies limits. On the contrary, increased concentration of Sr and V were observed in the PM samples from TSA. It is generally believed that FSA generates smaller amount of PM but data obtained from FSA are clearly describing that emissions from FSA comprised potentially more toxic substances than TSA. The current research is specific to metropolitan population and has evidently revealed an inconsistent burden of exposure to air pollutants engendered by FSA in urban communities, which could lead to the disruption of several biological activities and may cause severe damage to entire ecological system.

  10. Monitoring peroxides generation during model wine fermentation by FOX-1 assay.

    PubMed

    Bridi, Raquel; González, Alvaro; Bordeu, Edmundo; López-Alarcón, Camilo; Aspée, Alexis; Diethelm, Benjamin; Lissi, Eduardo; Parpinello, Giuseppina Paola; Versari, Andrea

    2015-05-15

    The quality of wine is mainly determined during the alcoholic fermentation that gradually transforms the grape juice into wine. Along this process the yeast goes through several stressful stages which can affect its fermentative ability and industrial performance, affecting wine quality. Based on their actual application on industrial winemaking, commercial Saccharomyces cerevisiae strains (EC1118, QA23, VIN7 and VL3) were used. They were inoculated in batch laboratory fermentations in a model wine solution for evaluating the production of reactive oxygen species (ROS) during the yeast's alcoholic fermentation. For first time total hydroperoxides were determined by FOX-1 assay to follow ROS generation. The total hydroperoxides accumulated along the 10 days of fermentation peaked up to 10.0 μM in yeast EC1118, of which 1.3 μM was hydrogen peroxide (H2O2). The FOX-1 based analytical approach herein presented is a valuable tool for the quantification of ROS oxidative damage during winemaking.

  11. CargoCBM - Feature Generation and Classification for a Condition Monitoring System for Freight Wagons

    NASA Astrophysics Data System (ADS)

    Gericke, C.; Hecht, M.

    2012-05-01

    Despite the fact that rail freight transport is one of the most environmentally friendly matters of transport, its growth has been far behind the growth of freight transport in general. Studies showed that a competitive disadvantage is caused by a low availability of rolling stock, especially freight wagons. Changing from a time based to a condition based maintenance strategy is believed to decrease down times by at least one third. To make condition based maintenance for freight wagons possible the TU Berlin and five industry partners started the research project CargoCBM. One task in this project is to develop algorithms for the automatic on-board diagnosis of wheel flats. The focus of the work is on the process of feature generation and feature selection as well as the application of different classifiers to automatically evaluate the data. Based on the results of measured data, features were selected and tested with different classifiers. Thought advanced classifiers such as neural networks have been analysed in accordance to their classification accuracy. It can be shown that with carefully constructed and selected features comparatively simple classifiers can lead to excellent results.

  12. Monitoring peroxides generation during model wine fermentation by FOX-1 assay.

    PubMed

    Bridi, Raquel; González, Alvaro; Bordeu, Edmundo; López-Alarcón, Camilo; Aspée, Alexis; Diethelm, Benjamin; Lissi, Eduardo; Parpinello, Giuseppina Paola; Versari, Andrea

    2015-05-15

    The quality of wine is mainly determined during the alcoholic fermentation that gradually transforms the grape juice into wine. Along this process the yeast goes through several stressful stages which can affect its fermentative ability and industrial performance, affecting wine quality. Based on their actual application on industrial winemaking, commercial Saccharomyces cerevisiae strains (EC1118, QA23, VIN7 and VL3) were used. They were inoculated in batch laboratory fermentations in a model wine solution for evaluating the production of reactive oxygen species (ROS) during the yeast's alcoholic fermentation. For first time total hydroperoxides were determined by FOX-1 assay to follow ROS generation. The total hydroperoxides accumulated along the 10 days of fermentation peaked up to 10.0 μM in yeast EC1118, of which 1.3 μM was hydrogen peroxide (H2O2). The FOX-1 based analytical approach herein presented is a valuable tool for the quantification of ROS oxidative damage during winemaking. PMID:25577046

  13. Spatiotemporal antibiotic resistance pattern monitoring using geographical information system based hierarchical cluster analysis.

    PubMed

    Hewapathirana, Roshan; Wijayarathna, Gamini

    2010-01-01

    Bacterial antimicrobial resistance in both the medical and agricultural fields has become a serious problem worldwide. Antibiotic resistant strains of bacteria are an increasing threat to human health, with resistance mechanisms having been described to all known antimicrobials currently available for clinical use. Monitoring the geotemporal variations of antibiotic resistance pattern is crucial factor in planning a successful therapeutic guidelines preventing further emergence of antibiotic resistance. This study is based on the retrospective spatiotemporal analysis of laboratory results of Antibiotic Sensitivity Tests, time stamped with the date and time of the microbiological specimen dispatched to the laboratory. Geographic location of the isolated bacterial colony is specified with the latitude and the longitude of the patient's location. Agglomerative Hierarchical Clustering was performed on antimicrobial resistance findings based on the geographic locations generating series of Heatmaps to visualize the extent of the resistance pattern. Sequential Hierarchical cluster analysis was proven to be effective in visualization of antibiotic resistance using Heatmaps demonstrating the temporal variations of the antibiotic resistance patterns.

  14. Relative Contributions of Goal Representation and Kinematic Information to Self-Monitoring by Chimpanzees and Humans

    ERIC Educational Resources Information Center

    Kaneko, Takaaki; Tomonaga, Masaki

    2012-01-01

    It is important to monitor feedback related to the intended result of an action while executing that action. This monitoring process occurs hierarchically; that is, sensorimotor processing occurs at a lower level, and conceptual representation of action goals occurs at a higher level. Although the hierarchical nature of self-monitoring may derive…

  15. 77 FR 26513 - Proposed Information Collection; Comment Request; Southeast Region Vessel Monitoring System (VMS...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-04

    ... Region Vessel Monitoring System (VMS) and Related Requirements AGENCY: National Oceanic and Atmospheric... of Mexico under the Reef Fish Fishery Management Plan (FMP). The vessel monitoring system (VMS... interception is limited. An electronic VMS allows a more effective means to monitor vessels for intrusions...

  16. Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

    NASA Astrophysics Data System (ADS)

    Bernardo, Joseph T.

    2014-05-01

    Hard/soft information fusion has been proposed as a way to enhance diagnostic capability for the condition monitoring of machinery. However, there is a limited understanding of where hard/soft information fusion could and should be applied in the condition monitoring of aircraft. Condition-based maintenance refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. The addition of the multisensory capability of human cognition to electronic sensors may create a fuller picture of machinery condition. Since 1988, the Joint Directors of Laboratories (JDL) data fusion process model has served as a framework for information fusion research. Advances are described in the application of hard/soft information fusion in condition monitoring using terms that condition-based maintenance professionals in aviation will recognize. Emerging literature on hard/soft information fusion in condition monitoring is organized into the levels of the JDL data fusion process model. Gaps in the literature are identified, and the author's ongoing research is discussed. Future efforts will focus on building domain-specific frameworks and experimental design, which may provide a foundation for improving flight safety, increasing mission readiness, and reducing the cost of maintenance operations.

  17. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology.

    PubMed

    Wang, Yong; Zhuang, Dafang

    2015-12-01

    Thanks to Spatial Information Technologies (SITs) such as Remote Sensing (RS) and Geographical Information System (GIS) that are being quickly developed and updated, SITs are being used more widely in the public health field. The use of SITs to study the characteristics of the temporal and spatial distribution of Schistosoma japonicum and to assess the risk of infection provides methods for the control and prevention of schistosomiasis japonica has gradually become a hot topic in the field. The purpose of the present paper was to use RS and GIS technology to develop an efficient method of prediction and assessment of the risk of schistosomiasis japonica. We choose the Yueyang region, close to the east DongTing Lake (Hunan Province, China), as the study area, where a recent serious outbreak of schistosomiasis japonica took place. We monitored and evaluated the transmission risk of schistosomiasis japonica in the region using SITs. Water distribution data were extracted from RS images. The ground temperature, ground humidity and vegetation index were calculated based on RS images. Additionally, the density of oncomelania snails, which are the Schistosoma japonicum intermediate host, was calculated on the base of RS data and field measurements. The spatial distribution of oncomelania snails was explored using SITs in order to estimate the area surrounding the residents with transmission risk of schistosomiasis japonica. Our research result demonstrated: (1) the risk factors for the transmission of schistosomiasis japonica were closely related to the living environment of oncomelania snails. Key factors such as water distribution, ground temperature, ground humidity and vegetation index can be quickly obtained and calculated from RS images; (2) using GIS technology and a RS deduction technique along with statistical regression models, the density distribution model of oncomelania snails could be quickly built; (3) using SITs and analysis with overlaying population

  18. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology

    PubMed Central

    Wang, Yong; Zhuang, Dafang

    2015-01-01

    Thanks to Spatial Information Technologies (SITs) such as Remote Sensing (RS) and Geographical Information System (GIS) that are being quickly developed and updated, SITs are being used more widely in the public health field. The use of SITs to study the characteristics of the temporal and spatial distribution of Schistosoma japonicum and to assess the risk of infection provides methods for the control and prevention of schistosomiasis japonica has gradually become a hot topic in the field. The purpose of the present paper was to use RS and GIS technology to develop an efficient method of prediction and assessment of the risk of schistosomiasis japonica. We choose the Yueyang region, close to the east DongTing Lake (Hunan Province, China), as the study area, where a recent serious outbreak of schistosomiasis japonica took place. We monitored and evaluated the transmission risk of schistosomiasis japonica in the region using SITs. Water distribution data were extracted from RS images. The ground temperature, ground humidity and vegetation index were calculated based on RS images. Additionally, the density of oncomelania snails, which are the Schistosoma japonicum intermediate host, was calculated on the base of RS data and field measurements. The spatial distribution of oncomelania snails was explored using SITs in order to estimate the area surrounding the residents with transmission risk of schistosomiasis japonica. Our research result demonstrated: (1) the risk factors for the transmission of schistosomiasis japonica were closely related to the living environment of oncomelania snails. Key factors such as water distribution, ground temperature, ground humidity and vegetation index can be quickly obtained and calculated from RS images; (2) using GIS technology and a RS deduction technique along with statistical regression models, the density distribution model of oncomelania snails could be quickly built; (3) using SITs and analysis with overlaying population

  19. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology.

    PubMed

    Wang, Yong; Zhuang, Dafang

    2015-12-12

    Thanks to Spatial Information Technologies (SITs) such as Remote Sensing (RS) and Geographical Information System (GIS) that are being quickly developed and updated, SITs are being used more widely in the public health field. The use of SITs to study the characteristics of the temporal and spatial distribution of Schistosoma japonicum and to assess the risk of infection provides methods for the control and prevention of schistosomiasis japonica has gradually become a hot topic in the field. The purpose of the present paper was to use RS and GIS technology to develop an efficient method of prediction and assessment of the risk of schistosomiasis japonica. We choose the Yueyang region, close to the east DongTing Lake (Hunan Province, China), as the study area, where a recent serious outbreak of schistosomiasis japonica took place. We monitored and evaluated the transmission risk of schistosomiasis japonica in the region using SITs. Water distribution data were extracted from RS images. The ground temperature, ground humidity and vegetation index were calculated based on RS images. Additionally, the density of oncomelania snails, which are the Schistosoma japonicum intermediate host, was calculated on the base of RS data and field measurements. The spatial distribution of oncomelania snails was explored using SITs in order to estimate the area surrounding the residents with transmission risk of schistosomiasis japonica. Our research result demonstrated: (1) the risk factors for the transmission of schistosomiasis japonica were closely related to the living environment of oncomelania snails. Key factors such as water distribution, ground temperature, ground humidity and vegetation index can be quickly obtained and calculated from RS images; (2) using GIS technology and a RS deduction technique along with statistical regression models, the density distribution model of oncomelania snails could be quickly built; (3) using SITs and analysis with overlaying population

  20. Transacting generation attributes across market boundaries: Compatible information systems and the treatment of imports and exports

    SciTech Connect

    Grace, Robert; Wiser, Ryan

    2002-11-01

    Voluntary markets for ''green'' power, and mandatory policies such as fuel source disclosure requirements and renewables portfolio standards, each rely on the ability to differentiate electricity by the ''attributes'' of the generation. Throughout North America, electricity markets are devising accounting and verification systems for generation ''attributes'': those characteristics of a power plant's production such as fuel source and emissions that differentiate it from undifferentiated (or ''commodity'') electricity. These accounting and verification systems are intended to verify compliance with market mandates, create accurate disclosure labels, substantiate green power claims, and support emissions markets. Simultaneously, interest is growing in transacting (importing or exporting) generation attributes across electricity market borders, with or without associated electricity. Cross-border renewable attribute transactions have advantages and disadvantages. Broad access to markets may encourage more renewable generation at lower cost, but this result may conflict with desires to assure that at least some renewable resources are built locally to achieve either local policy goals or purchaser objectives. This report is intended to serve as a resource document for those interested in and struggling with cross-border renewable attribute transactions. The report assesses the circumstances under which renewable generation attributes from a ''source'' region might be recognized in a ''sink'' region. The report identifies several distinct approaches that might be used to account for and verify attribute import and export transactions, and assesses the suitability of these alternative approaches. Because policymakers have often made systems ''compatibility'' between market areas a pre-requisite to allowing cross-border renewable transactions, this report develops criteria for ''compatible information systems.'' Where fully compatible information systems do not exist

  1. Monitoring of facial stress during space flight: Optical computer recognition combining discriminative and generative methods

    NASA Astrophysics Data System (ADS)

    Dinges, David F.; Venkataraman, Sundara; McGlinchey, Eleanor L.; Metaxas, Dimitris N.

    2007-02-01

    Astronauts are required to perform mission-critical tasks at a high level of functional capability throughout spaceflight. Stressors can compromise their ability to do so, making early objective detection of neurobehavioral problems in spaceflight a priority. Computer optical approaches offer a completely unobtrusive way to detect distress during critical operations in space flight. A methodology was developed and a study completed to determine whether optical computer recognition algorithms could be used to discriminate facial expressions during stress induced by performance demands. Stress recognition from a facial image sequence is a subject that has not received much attention although it is an important problem for many applications beyond space flight (security, human-computer interaction, etc.). This paper proposes a comprehensive method to detect stress from facial image sequences by using a model-based tracker. The image sequences were captured as subjects underwent a battery of psychological tests under high- and low-stress conditions. A cue integration-based tracking system accurately captured the rigid and non-rigid parameters of different parts of the face (eyebrows, lips). The labeled sequences were used to train the recognition system, which consisted of generative (hidden Markov model) and discriminative (support vector machine) parts that yield results superior to using either approach individually. The current optical algorithm methods performed at a 68% accuracy rate in an experimental study of 60 healthy adults undergoing periods of high-stress versus low-stress performance demands. Accuracy and practical feasibility of the technique is being improved further with automatic multi-resolution selection for the discretization of the mask, and automated face detection and mask initialization algorithms.

  2. A test program for predicting and monitoring the emergency diesel generator heat exchangers at Limerick Generating Station and Peach Bottom Atomic Power Station

    SciTech Connect

    Elder, J.J.; Fusegni, L.J.; McFarland, W.J.; Andreone, C.F.

    1995-12-31

    The USNRC issued Generic Letter 89-13, ``Service Water Problems Affecting Safety-Related Equipment`` to all nuclear power plant licensees which requires the implementation of a program to ensure that nuclear safety-related heat exchangers are capable of performing their intended functions. The heat exchangers on the standby emergency diesel generator (EDG) skids are covered by this requirement. PECo and SWEC have developed a program of testing and analysis to monitor the level of fouling in the EDG`s at the Limerick and Peach Bottom nuclear power plants in response to the Generic Letter. The development of an EDG heat exchanger test program is significantly more complex than for most other heat exchangers. This is because the process fluid flows are controlled by self-modulating thermostatic valves to maintain proper process temperature setpoints. As a result, under some test conditions the process flows may be reduced to as little as 20% of their design values. Flow changes of this magnitude significantly affect the performance of the coolers and obscure observation of the effects of fouling if not properly addressed. This paper describes the methods developed by PECo and SWEC to address this problem.

  3. In situ thermodynamic monitoring of serpentinization and H2 generation - An experimental study

    NASA Astrophysics Data System (ADS)

    Fauguerolles, C.; Castelain, T.; Villeneuve, J.; Pichavant, M.

    2014-12-01

    To quantify the H2 production associated with serpentinization at slow spreading mid-oceanic ridges, hydrothermal alteration experiments have been performed. Starting materials are a fine-grained harzburgite from Pindos ophiolite and artificial seawater (3.2 wt.% NaCl). Two grain sizes (P1 and P2), both <60μm, are used. The water-rock ratio is ~1.8 (40g of rock and 72g of water). Experiments are carried out at 250, 300 and 350°C, and for a constant pressure of 500 bar. For each temperature, two experiments are conducted in parallel. In the first, the hydrothermal fluid is periodically sampled and its H2 concentration ([H2]) determined by gas chromatography. In the second, the H2 fu/gacity (ƒH2) inside the reaction cell is continuously monitored with a H2semi-permeable membrane made of Au20Pd80. [H2] is maximum at 300°C with a plateau at ~115 mmol/kgwater against ~50 mmol/kgwater at 250°C (for the same duration, the experiment at 350°C (still in progress) shows [H2] ~10 times lower). The kinetics of H2 production is controlled by the particle size. At 300°C, the [H2] plateau is reached in ~35 days for P2 against ~55 days for P1. At 250 and 300°C, an ƒH2 increase is observed after the 2nd day and the rate of fH2 increase reaches a maximum during the 4th day. At 300°C, the ƒH2 stabilizes after ~40 days at 23 bar (fO2 ≈ NNO - 4.1 to 4.3). At 250°C, it takes ~70days to reach a plateau ƒH2 of 38 bar (fO2≈ NNO - 4.6 to 5.1). The solid products recovered and analyzed at the end of experiment are characterized by a serpentinization rate > 60% and they contain variable amounts of magnetite and brucite, in addition to serpentine minerals. To link ƒH2 and [H2], experiments coupling the two types of measurement have been performed in the H2O-H2 system. For [H2] <50 mmol/kgwater, at 250 and 300°C, the first results show ƒH2/[H2] ≈ 660 and 380 bar.kgwater/molH2respectively. These results imply that H2-bearing fluids associated with serpentinization strongly

  4. Comprehensive Seismic Monitoring for Emergency Response and Hazards Assessment: Recent Developments at the USGS National Earthquake Information Center

    NASA Astrophysics Data System (ADS)

    Buland, R. P.; Guy, M.; Kragness, D.; Patton, J.; Erickson, B.; Morrison, M.; Bryon, C.; Ketchum, D.; Benz, H.

    2009-12-01

    The USGS National Earthquake Information Center (NEIC) has put into operation a new generation of seismic acquisition, processing and distribution subsystems that seamlessly integrate regional, national and global seismic network data for routine monitoring of earthquake activity and response to large, damaging earthquakes. The system, Bulletin Hydra, was designed to meet Advanced National Seismic System (ANSS) design goals to handle thousands of channels of real-time seismic data, compute and distribute time-critical seismic information for emergency response applications, and manage the integration of contributed earthquake products and information, arriving from near-real-time up to six weeks after an event. Bulletin Hydra is able meet these goals due to a modular, scalable, and flexible architecture that supports on-the-fly consumption of new data, readily allows for the addition of new scientific processing modules, and provides distributed client workflow management displays. Through the Edge subsystem, Bulletin Hydra accepts waveforms in half a dozen formats. In addition, Bulletin Hydra accepts contributed seismic information including hypocenters, magnitudes, moment tensors, unassociated and associated picks, and amplitudes in a variety of formats including earthworm import/export pairs and EIDS. Bulletin Hydra has state-driven algorithms for computing all IASPEI standard magnitudes (e.g. mb, mb_BB, ML, mb_LG, Ms_20, and Ms_BB) as well as Md, Ms(VMAX), moment tensor algorithms for modeling different portions of the wave-field at different distances (e.g. teleseismic body-wave, centroid, and regional moment tensors), and broadband depth. All contributed and derived data are centrally managed in an Oracle database. To improve on single station observations, Bulletin Hydra also does continuous real-time beam forming of high-frequency arrays. Finally, workflow management displays are used to assist NEIC analysts in their day-to-day duties. All combined

  5. Transient forces generated by projectiles on variable quality mouthguards monitored by instrumented impact testing

    PubMed Central

    Warnet, L; Greasley, A

    2001-01-01

    Objectives—(a) To determine the force-time trace that occurs when a spring mounted simulated upper jaw is impacted; (b) to examine if mouthguards of variable quality have significant influence on such force-time traces; (c) to attempt to relate physical events to the profile of the force-time traces recorded. Methods—A simulated jaw, consisting of ceramic teeth inserted into a hard rubber arch reinforced with a composite jawbone, was fitted with various mouthguards as part of a previous round robin study. A clinical assessment distinguished good, bad, and poor mouthguards, and these were each fitted to the jaw, which was then submitted to instrumental impact tests under conditions expected to produce tooth fractures. The force-time trace was recorded for such impact events. Results—The spring mounting method caused two distinct peaks in the force-time trace. The initial one was related to inertia effects and showed an increase in magnitude with impactor velocity as expected. The second peak showed features that were related to the differences in the mouthguards selected. Conclusions—The use of a force washer within a conical ended impactor enabled force-time traces to be recorded during the impact of a spring mounted simulated jaw fitted with mouthguards of variable quality. The spring mounting system causes an initial inertial peak followed by a second peak once the spring mount has fully compressed. Good fitting guards, which keep most teeth intact, result in high stiffness targets that in turn generate high reaction forces in the impactor. If the spring mounting is omitted, the two peaks are combined to give even higher reaction forces. The force-time trace offers some potential for assessing both overall mouthguard performance and individual events during the impact sequence. Mouthguards with good retention to the jaw remained attached during the impact event and helped to preserve the structural integrity of the target. This in turn developed high

  6. Information to support to monitoring and habitat restoration on Ash Meadows National Wildlife Refuge

    USGS Publications Warehouse

    Scoppettone, G. Gary

    2013-01-01

    for monitoring native fish populations in relation to restoration efforts on the Ash Meadows National Wildlife Refuge. There are no precise records on conditions of each of the spring systems prior to anthropogenic alteration; however, fostering conditions that favor native over non-natives will be key to habitat restoration. Information regarding native species carbon source is needed to create habitat that favors native species, thus habitat restoration fostering food stuff consumed by native species should be considered in restoration efforts. In compiling data for the first part of this report, we tracked carbon source for native and non-native species at four stations along the Jackrabbit Spring system. Thus, we were able to contrast carbon source in warm- and cool-water habitats. Habitat in Jackrabbit Spring was improved for native fishes in 2007. The second paper in this report focuses on native fish populations in Jackrabbit Spring system pre- and post-restoration. Much of the Ash Meadows Oases is marsh habitat where non-native red swamp crayfish and western mosquitofish are often abundant, to the detriment of non-natives. Because marsh habitat is broadly represented in the Ash Meadows landscape, establishing marsh habitat most conducive to the native fishes is important to the restoration effort, and the third paper addresses marsh habitat type with the relative abundance of fishes and crayfish. There are previous years of monitoring Ash Meadows’ native fish populations, but not all monitoring occurred at the same time of year. Desert-fish populations sometimes undergo seasonal fluctuation, so it might not be valid to compare population trends using difference seasons. For report four, we tracked a closed population of Amargosa pupfish (Cyprinodon nevadensis) year round to track seasonal trends. Knowledge of seasonal trends is important in tracking changes of populations pre- and post-restoration.

  7. On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers

    SciTech Connect

    Belle R. Upadhyaya; J. Wesley Hines

    2004-09-27

    Integrity monitoring and flaw diagnostics of flat beams and tubular structures was investigated in this research task using guided acoustic signals. A piezo-sensor suite was deployed to activate and collect Lamb wave signals that propagate along metallic specimens. The dispersion curves of Lamb waves along plate and tubular structures are generated through numerical analysis. Several advanced techniques were explored to extract representative features from acoustic time series. Among them, the Hilbert-Huang transform (HHT) is a recently developed technique for the analysis of non-linear and transient signals. A moving window method was introduced to generate the local peak characters from acoustic time series, and a zooming window technique was developed to localize the structural flaws. The time-frequency analysis and pattern recognition techniques were combined for classifying structural defects in brass tubes. Several types of flaws in brass tubes were tested, both in the air and in water. The techniques also proved to be effective under background/process noise. A detailed theoretical analysis of Lamb wave propagation was performed and simulations were carried out using the finite element software system ABAQUS. This analytical study confirmed the behavior of the acoustic signals acquired from the experimental studies. The report presents the background the analysis of acoustic signals acquired from piezo-electric transducers for structural defect monitoring. A comparison of the use of time-frequency techniques, including the Hilbert-Huang transform, is presented. The report presents the theoretical study of Lamb wave propagation in flat beams and tubular structures, and the need for mode separation in order to effectively perform defect diagnosis. The results of an extensive experimental study of detection, location, and isolation of structural defects in flat aluminum beams and brass tubes are presented. The results of this research show the feasibility of on

  8. Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information

    PubMed Central

    Cai, Gaigai; Chen, Xuefeng; Li, Bing; Chen, Baojia; He, Zhengjia

    2012-01-01

    The reliability of cutting tools is critical to machining precision and production efficiency. The conventional statistic-based reliability assessment method aims at providing a general and overall estimation of reliability for a large population of identical units under given and fixed conditions. However, it has limited effectiveness in depicting the operational characteristics of a cutting tool. To overcome this limitation, this paper proposes an approach to assess the operation reliability of cutting tools. A proportional covariate model is introduced to construct the relationship between operation reliability and condition monitoring information. The wavelet packet transform and an improved distance evaluation technique are used to extract sensitive features from vibration signals, and a covariate function is constructed based on the proportional covariate model. Ultimately, the failure rate function of the cutting tool being assessed is calculated using the baseline covariate function obtained from a small sample of historical data. Experimental results and a comparative study show that the proposed method is effective for assessing the operation reliability of cutting tools. PMID:23201980

  9. Development of Landsat Information Products to Support Land Change Monitoring, Assessment, and Projection (lcmap)

    NASA Astrophysics Data System (ADS)

    Dwyer, J. L.

    2014-12-01

    The USGS operates the Landsat series of satellite missions that systematically collect multispectral imagery over the Earth's sunlit landmasses. These data have always been publicly available on a nondiscriminatory basis, but since 2008 these data have been accessible at no cost to the user community. This change in the Landsat data policy has revolutionized the use of Landsat data for scientific research and applications, enabling the construction of time series of observations with which to establish historical trends in land cover state and condition. The USGS provides interdisciplinary scientific expertise to the U.S. Department of the Interior to support the stewardship and management of more 500 million acres of Federal lands. Landsat data serve as the basis from which numerous information products can be derived in order to map, monitor, and assess the natural and human-induced impacts on the landscape and natural resources. By leveraging capabilities developed through programs such as the NASA Earth Observing System, scientific algorithms and data processing capabilities can be used to retrieve geophysical and biophysical parameters from Landsat data that can be integrated with in situ observations and other remotely sensed and geospatial data for use in process modeling and decision-making.

  10. A Greenhouse-Gas Information System: Monitoring and Validating Emissions Reporting and Mitigation

    SciTech Connect

    Jonietz, Karl K.; Dimotakis, Paul E.; Walker, Bruce C.

    2011-09-26

    This study and report focus on attributes of a greenhouse-gas information system (GHGIS) needed to support MRV&V needs. These needs set the function of such a system apart from scientific/research monitoring of GHGs and carbon-cycle systems, and include (not exclusively): the need for a GHGIS that is operational, as required for decision-support; the need for a system that meets specifications derived from imposed requirements; the need for rigorous calibration, verification, and validation (CV&V) standards, processes, and records for all measurement and modeling/data-inversion data; the need to develop and adopt an uncertainty-quantification (UQ) regimen for all measurement and modeling data; and the requirement that GHGIS products can be subjected to third-party questioning and scientific scrutiny. This report examines and assesses presently available capabilities that could contribute to a future GHGIS. These capabilities include sensors and measurement technologies; data analysis and data uncertainty quantification (UQ) practices and methods; and model-based data-inversion practices, methods, and their associated UQ. The report further examines the need for traceable calibration, verification, and validation processes and attached metadata; differences between present science-/research-oriented needs and those that would be required for an operational GHGIS; the development, operation, and maintenance of a GHGIS missions-operations center (GMOC); and the complex systems engineering and integration that would be required to develop, operate, and evolve a future GHGIS.

  11. Operation reliability assessment for cutting tools by applying a proportional covariate model to condition monitoring information.

    PubMed

    Cai, Gaigai; Chen, Xuefeng; Li, Bing; Chen, Baojia; He, Zhengjia

    2012-09-25

    The reliability of cutting tools is critical to machining precision and production efficiency. The conventional statistic-based reliability assessment method aims at providing a general and overall estimation of reliability for a large population of identical units under given and fixed conditions. However, it has limited effectiveness in depicting the operational characteristics of a cutting tool. To overcome this limitation, this paper proposes an approach to assess the operation reliability of cutting tools. A proportional covariate model is introduced to construct the relationship between operation reliability and condition monitoring information. The wavelet packet transform and an improved distance evaluation technique are used to extract sensitive features from vibration signals, and a covariate function is constructed based on the proportional covariate model. Ultimately, the failure rate function of the cutting tool being assessed is calculated using the baseline covariate function obtained from a small sample of historical data. Experimental results and a comparative study show that the proposed method is effective for assessing the operation reliability of cutting tools.

  12. A lipoprotein/β-barrel complex monitors lipopolysaccharide integrity transducing information across the outer membrane

    PubMed Central

    Konovalova, Anna; Mitchell, Angela M; Silhavy, Thomas J

    2016-01-01

    Lipoprotein RcsF is the OM component of the Rcs envelope stress response. RcsF exists in complexes with β-barrel proteins (OMPs) allowing it to adopt a transmembrane orientation with a lipidated N-terminal domain on the cell surface and a periplasmic C-terminal domain. Here we report that mutations that remove BamE or alter a residue in the RcsF trans-lumen domain specifically prevent assembly of the interlocked complexes without inactivating either RcsF or the OMP. Using these mutations we demonstrate that these RcsF/OMP complexes are required for sensing OM outer leaflet stress. Using mutations that alter the positively charged surface-exposed domain, we show that RcsF monitors lateral interactions between lipopolysaccharide (LPS) molecules. When these interactions are disrupted by cationic antimicrobial peptides, or by the loss of negatively charged phosphate groups on the LPS molecule, this information is transduced to the RcsF C-terminal signaling domain located in the periplasm to activate the stress response. DOI: http://dx.doi.org/10.7554/eLife.15276.001 PMID:27282389

  13. Better Informed Distance Geometry: Using What We Know To Improve Conformation Generation.

    PubMed

    Riniker, Sereina; Landrum, Gregory A

    2015-12-28

    Small organic molecules are often flexible, i.e., they can adopt a variety of low-energy conformations in solution that exist in equilibrium with each other. Two main search strategies are used to generate representative conformational ensembles for molecules: systematic and stochastic. In the first approach, each rotatable bond is sampled systematically in discrete intervals, limiting its use to molecules with a small number of rotatable bonds. Stochastic methods, on the other hand, sample the conformational space of a molecule randomly and can thus be applied to more flexible molecules. Different methods employ different degrees of experimental data for conformer generation. So-called knowledge-based methods use predefined libraries of torsional angles and ring conformations. In the distance geometry approach, on the other hand, a smaller amount of empirical information is used, i.e., ideal bond lengths, ideal bond angles, and a few ideal torsional angles. Distance geometry is a computationally fast method to generate conformers, but it has the downside that purely distance-based constraints tend to lead to distorted aromatic rings and sp(2) centers. To correct this, the resulting conformations are often minimized with a force field, adding computational complexity and run time. Here we present an alternative strategy that combines the distance geometry approach with experimental torsion-angle preferences obtained from small-molecule crystallographic data. The torsional angles are described by a previously developed set of hierarchically structured SMARTS patterns. The new approach is implemented in the open-source cheminformatics library RDKit, and its performance is assessed by comparing the diversity of the generated ensemble and the ability to reproduce crystal conformations taken from the crystal structures of small molecules and protein-ligand complexes. PMID:26575315

  14. Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS).

    PubMed

    Zhang, Yuanzhi; Chen, Zhengyi; Zhu, Boqin; Luo, Xiuyue; Guan, Yanning; Guo, Shan; Nie, Yueping

    2008-12-01

    The objective of this study is to develop techniques for assessing and analysing land desertification in Yulin of Northwest China, as a typical monitoring region through the use of remotely sensed data and geographic information systems (GIS). The methodology included the use of Landsat TM data from 1987, 1996 and 2006, supplemented by aerial photos in 1960, topographic maps, field work and use of other existing data. From this, land cover, the Normalised Difference Vegetation Index (NDVI), farmland, woodland and grassland maps at 1:100,000 were prepared for land desertification monitoring in the area. In the study, all data was entered into a GIS using ILWIS software to perform land desertification monitoring. The results indicate that land desertification in the area has been developing rapidly during the past 40 years. Although land desertification has to some extent been controlled in the area by planting grasses and trees, the issue of land desertification is still serious. The study also demonstrates an example of why the integration of remote sensing with GIS is critical for the monitoring of environmental changes in arid and semi-arid regions, e.g. in land desertification monitoring in the Yulin pilot area. However, land desertification monitoring using remote sensing and GIS still needs to be continued and also refined for the purpose of long-term monitoring and the management of fragile ecosystems in the area.

  15. Making smart social judgments takes time: infants' recruitment of goal information when generating action predictions.

    PubMed

    Krogh-Jespersen, Sheila; Woodward, Amanda L

    2014-01-01

    Previous research has shown that young infants perceive others' actions as structured by goals. One open question is whether the recruitment of this understanding when predicting others' actions imposes a cognitive challenge for young infants. The current study explored infants' ability to utilize their knowledge of others' goals to rapidly predict future behavior in complex social environments and distinguish goal-directed actions from other kinds of movements. Fifteen-month-olds (N = 40) viewed videos of an actor engaged in either a goal-directed (grasping) or an ambiguous (brushing the back of her hand) action on a Tobii eye-tracker. At test, critical elements of the scene were changed and infants' predictive fixations were examined to determine whether they relied on goal information to anticipate the actor's future behavior. Results revealed that infants reliably generated goal-based visual predictions for the grasping action, but not for the back-of-hand behavior. Moreover, response latencies were longer for goal-based predictions than for location-based predictions, suggesting that goal-based predictions are cognitively taxing. Analyses of areas of interest indicated that heightened attention to the overall scene, as opposed to specific patterns of attention, was the critical indicator of successful judgments regarding an actor's future goal-directed behavior. These findings shed light on the processes that support "smart" social behavior in infants, as it may be a challenge for young infants to use information about others' intentions to inform rapid predictions. PMID:24835053

  16. Cerro Prieto Contents of the Technical Information Files Generated at the Field

    SciTech Connect

    Olmos, Miguel Angel Ayuso

    1987-01-20

    The creation of a computer data bank for the Cerro Prieto Geothermal Field, resulted from the need for fast and flexible management of the increasing and voluminous information generated from the large number of wells drilled in recent years. The data are needed for updating the thermodynamic evolution of the field in order to define field history and validate mathematical analyses applications. This data bank compiles 20 files with all technical information issued from the time of initial field exploration to the end of 1986. To use the data bank, a series of programs and subroutines were created simultaneously for data base management to allow access and add new data as well as data analysis and data graphics. Tables of global statistics of the informations contained in the 20 files are shown in the paper, as an example of one application of the general use of the data base. For particular and specific applications, depending on users’ needs for the data. 3 tabs., 1 fig.

  17. Generation of a Novel Transgenic Mouse Model for Bioluminescent Monitoring of Survivin Gene Activity in Vivo at Various Pathophysiological Processes

    PubMed Central

    Li, Fengzhi; Cheng, Qiuying; Ling, Xiang; Stablewski, Aimee; Tang, Lei; Foster, Barbara A.; Johnson, Candace S.; Rustum, Youcef M.; Porter, Carl W.

    2010-01-01

    Survival has been implicated to play an important role in various pathophysiological processes. However, because of a lack of appropriate animal models, the role and dynamic expression of survivin during pathophysiology are not well defined. We generated a human survivin gene promoter-driven luciferase transgenic mouse model (SPlucTg) so that dynamic survivin gene activity can be monitored during various pathophysiological conditions using in vivo imaging. Our results show that, consistent with survivin positivity in testis, luciferase activity in normal SPlucTg mice was detected in the testis of male mice. Furthermore, similar to the known requirement of transient expression of survivin for pathophysiological responses, we observed a transient luciferase expression in castrated SPlucTg male mice after supplement of androgen. Significantly, it was reported that survivin expression turns on during mouse liver injury and regeneration; a transient and dose-dependent luciferase expression in the mouse liver was observed after administration of carbon tetrachloride into SPlucTg mice. We further demonstrated that luciferase activity closely correlates with endogenous survivin expression. We also demonstrated that only a subset of cells expresses survivin, and its expression overlaps with the expression of several stem cell markers tested. Thus, we have generated a unique animal model for analysis of diverse pathophysiological processes and possible stem cell distribution/activity in vivo. PMID:20133811

  18. Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring

    PubMed Central

    Bazzo, João Paulo; Pipa, Daniel Rodrigues; da Silva, Erlon Vagner; Martelli, Cicero; Cardozo da Silva, Jean Carlos

    2016-01-01

    This paper presents an image reconstruction method to monitor the temperature distribution of electric generator stators. The main objective is to identify insulation failures that may arise as hotspots in the structure. The method is based on temperature readings of fiber optic distributed sensors (DTS) and a sparse reconstruction algorithm. Thermal images of the structure are formed by appropriately combining atoms of a dictionary of hotspots, which was constructed by finite element simulation with a multi-physical model. Due to difficulties for reproducing insulation faults in real stator structure, experimental tests were performed using a prototype similar to the real structure. The results demonstrate the ability of the proposed method to reconstruct images of hotspots with dimensions down to 15 cm, representing a resolution gain of up to six times when compared to the DTS spatial resolution. In addition, satisfactory results were also obtained to detect hotspots with only 5 cm. The application of the proposed algorithm for thermal imaging of generator stators can contribute to the identification of insulation faults in early stages, thereby avoiding catastrophic damage to the structure. PMID:27618040

  19. Monitoring attosecond dynamics of coherent electron-nuclear wave packets by molecular high-order-harmonic generation

    SciTech Connect

    Bredtmann, Timm; Chelkowski, Szczepan; Bandrauk, Andre D.

    2011-08-15

    A pump-probe scheme for preparing and monitoring electron-nuclear motion in a dissociative coherent electron-nuclear wave packet is explored from numerical solutions of a non-Born-Oppenheimer time-dependent Schroedinger equation. A mid-ir intense few-cycle probe pulse is used to generate molecular high-order-harmonic generation (MHOHG) from a coherent superposition of two or more dissociative coherent electronic-nuclear wave packets, prepared by a femtosecond uv pump pulse. Varying the time delay between the intense ir probe pulse and the uv pump pulse by a few hundreds of attoseconds, the MHOHG signal intensity is shown to vary by orders of magnitude, thus showing the high sensitivity to electron-nuclear dynamics in coherent electron-nuclear wave packets. We relate this high sensitivity of MHOHG spectra to opposing electron velocities (fluxes) in the electron wave packets of the recombining (recolliding) ionized electron and of the bound electron in the initial coherent superposition of two electronic states.

  20. Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring.

    PubMed

    Bazzo, João Paulo; Pipa, Daniel Rodrigues; da Silva, Erlon Vagner; Martelli, Cicero; Cardozo da Silva, Jean Carlos

    2016-01-01

    This paper presents an image reconstruction method to monitor the temperature distribution of electric generator stators. The main objective is to identify insulation failures that may arise as hotspots in the structure. The method is based on temperature readings of fiber optic distributed sensors (DTS) and a sparse reconstruction algorithm. Thermal images of the structure are formed by appropriately combining atoms of a dictionary of hotspots, which was constructed by finite element simulation with a multi-physical model. Due to difficulties for reproducing insulation faults in real stator structure, experimental tests were performed using a prototype similar to the real structure. The results demonstrate the ability of the proposed method to reconstruct images of hotspots with dimensions down to 15 cm, representing a resolution gain of up to six times when compared to the DTS spatial resolution. In addition, satisfactory results were also obtained to detect hotspots with only 5 cm. The application of the proposed algorithm for thermal imaging of generator stators can contribute to the identification of insulation faults in early stages, thereby avoiding catastrophic damage to the structure. PMID:27618040

  1. Environmental monitoring through protist next-generation sequencing metabarcoding: assessing the impact of fish farming on benthic foraminifera communities.

    PubMed

    Pawlowski, Jan; Esling, Philippe; Lejzerowicz, Franck; Cedhagen, Tomas; Wilding, Thomas A

    2014-11-01

    The measurement of species diversity represents a powerful tool for assessing the impacts of human activities on marine ecosystems. Traditionally, the impact of fish farming on the coastal environment is evaluated by monitoring the dynamics of macrobenthic infaunal populations. However, taxonomic sorting and morphology-based identification of the macrobenthos demand highly trained specialists and are extremely time-consuming and costly, making it unsuitable for large-scale biomonitoring efforts involving numerous samples. Here, we propose to alleviate this laborious task by developing protist metabarcoding tools based on next-generation sequencing (NGS) of environmental DNA and RNA extracted from sediment samples. In this study, we analysed the response of benthic foraminiferal communities to the variation of environmental gradients associated with salmon farms in Scotland. We investigated the foraminiferal diversity based on ribosomal minibarcode sequences generated by the Illumina NGS technology. We compared the molecular data with morphospecies counts and with environmental gradients, including distance to cages and redox used as a proxy for sediment oxygenation. Our study revealed high variations between foraminiferal communities collected in the vicinity of fish farms and at distant locations. We found evidence for species richness decrease in impacted sites, especially visible in the RNA data. We also detected some candidate bioindicator foraminiferal species. Based on this proof-of-concept study, we conclude that NGS metabarcoding using foraminifera and other protists has potential to become a new tool for surveying the impact of aquaculture and other industrial activities in the marine environment.

  2. Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring.

    PubMed

    Bazzo, João Paulo; Pipa, Daniel Rodrigues; da Silva, Erlon Vagner; Martelli, Cicero; Cardozo da Silva, Jean Carlos

    2016-09-07

    This paper presents an image reconstruction method to monitor the temperature distribution of electric generator stators. The main objective is to identify insulation failures that may arise as hotspots in the structure. The method is based on temperature readings of fiber optic distributed sensors (DTS) and a sparse reconstruction algorithm. Thermal images of the structure are formed by appropriately combining atoms of a dictionary of hotspots, which was constructed by finite element simulation with a multi-physical model. Due to difficulties for reproducing insulation faults in real stator structure, experimental tests were performed using a prototype similar to the real structure. The results demonstrate the ability of the proposed method to reconstruct images of hotspots with dimensions down to 15 cm, representing a resolution gain of up to six times when compared to the DTS spatial resolution. In addition, satisfactory results were also obtained to detect hotspots with only 5 cm. The application of the proposed algorithm for thermal imaging of generator stators can contribute to the identification of insulation faults in early stages, thereby avoiding catastrophic damage to the structure.

  3. Modelling detectability of kiore (Rattus exulans) on Aguiguan, Mariana Islands, to inform possible eradication and monitoring efforts

    USGS Publications Warehouse

    Adams, A.A.Y.; Stanford, J.W.; Wiewel, A.S.; Rodda, G.H.

    2011-01-01

    Estimating the detection probability of introduced organisms during the pre-monitoring phase of an eradication effort can be extremely helpful in informing eradication and post-eradication monitoring efforts, but this step is rarely taken. We used data collected during 11 nights of mark-recapture sampling on Aguiguan, Mariana Islands, to estimate introduced kiore (Rattus exulans Peale) density and detection probability, and evaluated factors affecting detectability to help inform possible eradication efforts. Modelling of 62 captures of 48 individuals resulted in a model-averaged density estimate of 55 kiore/ha. Kiore detection probability was best explained by a model allowing neophobia to diminish linearly (i.e. capture probability increased linearly) until occasion 7, with additive effects of sex and cumulative rainfall over the prior 48 hours. Detection probability increased with increasing rainfall and females were up to three times more likely than males to be trapped. In this paper, we illustrate the type of information that can be obtained by modelling mark-recapture data collected during pre-eradication monitoring and discuss the potential of using these data to inform eradication and posteradication monitoring efforts. ?? New Zealand Ecological Society.

  4. When Teachers Work to Use Progress Monitoring Data to Inform Literacy Instruction: Identifying Potential Supports and Challenges

    ERIC Educational Resources Information Center

    Roehrig, Alysia D.; Duggar, Staci Walton; Moats, Louisa; Glover, Marsha; Mincey, Brian

    2008-01-01

    The phenomenon of using progress monitoring data to inform literacy instruction was explored in the context of four schools during their 2nd year of Reading First implementation. Open-ended interviews and surveys from 10 teachers, purposefully selected for maximum variation in effectiveness and skills and resistance to using data to inform…

  5. On information-provided monitoring of geodynamic processes in the Kuznetsk Coal Basin in the conditions of highly intensive sub-soil usage

    SciTech Connect

    Oparin, V.N.; Potapov, V.P.; Tanaino, A.S.

    2006-09-15

    It is shown that formation of underground hollows of the Kuznetsk Coal Basin (Kuzbass), induced by opencut and underground mining has reached an intensity of 1.3-1.5 million m{sup 3}/day. In the conditions of high concentration of mines and open-cuts in small areas, a regional monitoring network is required in view of a generated geomechanical space, hazardous in geodynamic manifestations. A developed information support of this network is presented, including information models of a geological environment and database obtained from instrumental observations on geomechanical processes. The equations of connection between structural and strength characteristics of rocks, their metamorphization grade and occurrence depth are given for five geological-tectonic zones of the Kuzbass as a way of prediction of their properties.

  6. RISMA: A Rule-based Interval State Machine Algorithm for Alerts Generation, Performance Analysis and Monitoring Real-Time Data Processing

    NASA Astrophysics Data System (ADS)

    Laban, Shaban; El-Desouky, Aly

    2013-04-01

    The monitoring of real-time systems is a challenging and complicated process. So, there is a continuous need to improve the monitoring process through the use of new intelligent techniques and algorithms for detecting exceptions, anomalous behaviours and generating the necessary alerts during the workflow monitoring of such systems. The interval-based or period-based theorems have been discussed, analysed, and used by many researches in Artificial Intelligence (AI), philosophy, and linguistics. As explained by Allen, there are 13 relations between any two intervals. Also, there have also been many studies of interval-based temporal reasoning and logics over the past decades. Interval-based theorems can be used for monitoring real-time interval-based data processing. However, increasing the number of processed intervals makes the implementation of such theorems a complex and time consuming process as the relationships between such intervals are increasing exponentially. To overcome the previous problem, this paper presents a Rule-based Interval State Machine Algorithm (RISMA) for processing, monitoring, and analysing the behaviour of interval-based data, received from real-time sensors. The proposed intelligent algorithm uses the Interval State Machine (ISM) approach to model any number of interval-based data into well-defined states as well as inferring them. An interval-based state transition model and methodology are presented to identify the relationships between the different states of the proposed algorithm. By using such model, the unlimited number of relationships between similar large numbers of intervals can be reduced to only 18 direct relationships using the proposed well-defined states. For testing the proposed algorithm, necessary inference rules and code have been designed and applied to the continuous data received in near real-time from the stations of International Monitoring System (IMS) by the International Data Centre (IDC) of the Preparatory

  7. Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study

    PubMed Central

    Shankar, Kalpana; Connelly, Kay

    2013-01-01

    Background A recent trend in personal health and wellness management is the development of computerized applications or information and communication technologies (ICTs) that support behavioral change, aid the management of chronic conditions, or help an individual manage their wellness and engage in a healthier lifestyle. Objective To understand how individuals across 3 generations (young, middle-aged, and older) think about the design and use of collaborative health and wellness management technologies and what roles these could take in their lives. Methods Face-to-face semistructured interviews, paper prototype systems, and video skits were used to assess how individuals from 3 age cohorts (young: 18-25 years; middle-aged: 35-50 years; and older: ≥65 years) conceptualize the role that health and wellness computing could take in their lives. Results A total of 21 participants in the 3 age cohorts took part (young: n=7; middle-aged: n=7; and older: n=7). Young adults expected to be able to actively manage the presentation of their health-related information. Middle-aged adults had more nuanced expectations that reflect their engagement with work and other life activities. Older adults questioned the sharing of health information with a larger audience, although they saw the value in 1-way sharing between family members or providing aggregated information. Conclusions Our findings inform our suggestions for improving the design of future collaborative health and wellness applications that target specific age groups. We recommend that collaborative ICT health applications targeting young adults should integrate with existing social networking sites, whereas those targeting middle-aged and older adults should support small social networks that rely on intimate personal relationships. Systems that target middle-aged adults should support episodic needs, such as time-sensitive, perhaps intermittent, goal setting. They should also have a low barrier to entry, allowing

  8. Selection of the most informative near infrared spectroscopy wavebands for continuous glucose monitoring in human serum.

    PubMed

    Goodarzi, Mohammad; Saeys, Wouter

    2016-01-01

    By controlling the blood glucose levels of diabetics permanent diabetes-related problems such as blindness and loss of limbs can be delayed or even avoided. Therefore, many researchers have aimed at the development of a non-invasive sensor to monitor the blood glucose level continuously. As non-invasive measurements through the skin, the ear lobe or the gums have proven to be either unreliable or impractical, attention has recently shifted to minimally invasive sensors which measure the glucose content in serum or interstitial fluid. Thanks to the development of on-chip spectrometers minimally invasive, implantable devices are coming within reach. However, this technology does not allow to acquire a large number of wavelengths over a broad range. Therefore, the most informative combination of a limited number of variables should be selected. In this study, Interval PLS (iPLS), Variable Importance in Projection (VIP), Uninformative Variable Elimination (UVE), Bootstrap-PLS coefficients, Moving window, CorXyPLS, Interval Random Frog-PLS and combinations of these methods were used in order to address the question whether the short wave band (800-1500 nm), first overtone band (1500-1800 nm), the combination band (2050-2300 nm) or a combination of them is the most informative region for glucose measurements and which wavebands should be measured within these wavelength ranges. The three different data sets employed focus on the determination of (1) glucose in aqueous solutions over the 1-30 mM range in presence of urea and sodium D-lactate, (2) glucose in aqueous solutions over the 2-16 mM range in presence of icodextrin and urea and (3) glucose in human serum samples. The best results for the first, second and third data sets were obtained by selecting 40, 130 and 20 variables resulting in a PLS model with an RMSEP of 0.56, 0.59 and 1.5mM, respectively. It was found that the first overtone band is most informative for aqueous solutions, while for glucose measurement of

  9. On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers.

    SciTech Connect

    Belle R. Upadhyaya; J. Wesley Hines

    2004-09-27

    The overall purpose of this Nuclear Engineering Education Research (NEER) project was to integrate new, innovative, and existing technologies to develop a fault diagnostics and characterization system for nuclear plant steam generators (SG) and heat exchangers (HX). Issues related to system level degradation of SG and HX tubing, including tube fouling, performance under reduced heat transfer area, and the damage caused by stress corrosion cracking, are the important factors that influence overall plant operation, maintenance, and economic viability of nuclear power systems. The research at The University of Tennessee focused on the development of techniques for monitoring process and structural integrity of steam generators and heat exchangers. The objectives of the project were accomplished by the completion of the following tasks. All the objectives were accomplished during the project period. This report summarizes the research and development activities, results, and accomplishments during June 2001-September 2004. (1) Development and testing of a high-fidelity nodal model of a U-tube steam generator (UTSG) to simulate the effects of fouling and to generate a database representing normal and degraded process conditions. Application of the group method of data handling (GMDH) method for process variable prediction. (2) Development of a laboratory test module to simulate particulate fouling of HX tubes and its effect on overall thermal resistance. Application of the GMDH technique to predict HX fluid temperatures, and to compare with the calculated thermal resistance. (3) Development of a hybrid modeling technique for process diagnosis and its evaluation using laboratory heat exchanger test data. (4) Development and testing of a sensor suite using piezo-electric devices for monitoring structural integrity of both flat plates (beams) and tubing. Experiments were performed in air, and in water with and without bubbly flow. (5) Development of advanced signal

  10. A greenhouse-gas information system monitoring and validating emissions reporting and mitigation

    SciTech Connect

    Jonietz, Karl K; Dimotakis, Paul E; Walker, Bruce C

    2011-09-26

    Current GHG-mitigating regimes, whether internationally agreed or self-imposed, rely on the aggregation of self-reported data, with limited checks for consistency and accuracy, for monitoring. As nations commit to more stringent GHG emissions-mitigation actions and as economic rewards or penalties are attached to emission levels, self-reported data will require independent confirmation that they are accurate and reliable, if they are to provide the basis for critical choices and actions that may be required. Supporting emissions-mitigation efforts and agreements, as well as monitoring energy- and fossil-fuel intensive national and global activities would be best achieved by a process of: (1) monitoring of emissions and emission-mitigation actions, based, in part, on, (2) (self-) reporting of pertinent bottom-up inventory data, (3) verification that reported data derive from and are consistent with agreed-upon processes and procedures, and (4) validation that reported emissions and emissions-mitigation action data are correct, based on independent measurements (top-down) derived from a suite of sensors in space, air, land, and, possibly, sea, used to deduce and attribute anthropogenic emissions. These data would be assessed and used to deduce and attribute measured GHG concentrations to anthropogenic emissions, attributed geographically and, to the extent possible, by economic sector. The validation element is needed to provide independent assurance that emissions are in accord with reported values, and should be considered as an important addition to the accepted MRV process, leading to a MRV&V process. This study and report focus on attributes of a greenhouse-gas information system (GHGIS) needed to support MRV&V needs. These needs set the function of such a system apart from scientific/research monitoring of GHGs and carbon-cycle systems, and include (not exclusively): the need for a GHGIS that is operational, as required for decision-support; the need for a

  11. Transient Aseismic Slip in the Cascadia Subduction Zone: From Monitoring to Useful Real-time Hazards Information

    NASA Astrophysics Data System (ADS)

    Roeloffs, E. A.; Beeler, N. M.

    2010-12-01

    The Cascadia subduction zone, extending from northern California to Vancouver Island, has a 10,000 year record of earthquakes > M8.5 at intervals of several hundred years, with the last major event (~M9) in 1700. Agencies in CA, OR, WA, and BC are raising public awareness of the hazards posed by a repeat Cascadia earthquake and its ensuing tsunami. Because most of the subduction interface is now seismically quiet, an interface event M6 or larger would generate intense public concern that it could be a potential foreshock of a great earthquake. Cascadia residents are also interested in the episodic tremor and slip (ETS) events that recur months to years apart: strong evidence implies these aseismic events represent accelerated interface slip downdip of the seismogenic zone. Simple mechanics implies ETS events temporarily increase the stressing rate on the locked zone. ETS events in northern Cascadia recur at fairly regular intervals and produced roughly similar patterns of deformation. However, an unusually large ETS event or increased interface seismicity would certainly prompt public officials and local residents to expect scientists to quickly determine the implications for a major Cascadia earthquake. Earthquake scientists generally agree that such “situations of concern” warrant close monitoring, but attempts to quantify potential probability changes are in very early stages. With >30 borehole strainmeters and >100 GPS stations of the NSF-funded Plate Boundary Observatory (PBO) in Cascadia, geodesists must develop a well-organized real-time monitoring scheme for interpreting aseismic deformation, with an accompanying public communication strategy. Two previously-exercised monitoring and communication protocols could be adapted for Cascadia. During the Parkfield, California, Earthquake Experiment, geodetic signals were assigned alert levels based on their rareness in the past record, on confirmation by more than one instrument, and on consistency with

  12. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    NASA Astrophysics Data System (ADS)

    Khader, A.; Rosenberg, D.; McKee, M.

    2012-12-01

    Nitrate pollution poses a health risk for infants whose freshwater drinking source is groundwater. This risk creates a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI) provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision maker and the expected outcomes from these alternatives. The alternatives include: (i) ignore the health risk of nitrate contaminated water, (ii) switch to alternative water sources such as bottled water, or (iii) implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, pollution transport processes, and climate (Khader and McKee, 2012). The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine where methemoglobinemia is the main health problem associated with the principal pollutant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods) associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not-use aquifer water, and whether people get sick from drinking contaminated water. Outcome costs include healthcare for methemoglobinemia, purchase of bottled water, and installation and maintenance of the groundwater monitoring system. At current

  13. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    NASA Astrophysics Data System (ADS)

    Khader, A. I.; Rosenberg, D. E.; McKee, M.

    2013-05-01

    Groundwater contaminated with nitrate poses a serious health risk to infants when this contaminated water is used for culinary purposes. To avoid this health risk, people need to know whether their culinary water is contaminated or not. Therefore, there is a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management options. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI) provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision-maker and the expected outcomes from these alternatives. The alternatives include (i) ignore the health risk of nitrate-contaminated water, (ii) switch to alternative water sources such as bottled water, or (iii) implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, contaminant transport processes, and climate (Khader, 2012). The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine, where methemoglobinemia (blue baby syndrome) is the main health problem associated with the principal contaminant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods) associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not use aquifer water, and whether people get sick from drinking contaminated water. Outcome costs

  14. Application of remote sensing and geographical information system for generation of runoff curve number

    NASA Astrophysics Data System (ADS)

    Meshram, S. Gajbhiye; Sharma, S. K.; Tignath, S.

    2015-10-01

    Watershed is an ideal unit for planning and management of land and water resources (Gajbhiye et al., IEEE international conference on advances in technology and engineering (ICATE), Bombay, vol 1, issue 9, pp 23-25, 2013a; Gajbhiye et al., Appl Water Sci 4(1):51-61, 2014a; Gajbhiye et al., J Geol Soc India (SCI-IF 0.596) 84(2):192-196, 2014b). This study aims to generate the curve number, using remote sensing and geographical information system (GIS) and the effect of slope on curve number values. The study was carried out in Kanhaiya Nala watershed located in Satna district of Madhya Pradesh. Soil map, Land Use/Land cover and slope map were generated in GIS Environment. The CN parameter values corresponding to various soil, land cover, and land management conditions were selected from Natural Resource Conservation Service (NRCS) standard table. Curve number (CN) is an index developed by the NRCS, to represent the potential for storm water runoff within a drainage area. The CN for a drainage basin is estimated using a combination of land use, soil, and antecedent soil moisture condition (AMC). In present study effect of slope on CN values were determined. The result showed that the CN unadjusted value are higher in comparison to CN adjusted with slope. Remote sensing and GIS is very reliable technique for the preparation of most of the input data required by the SCS curve number model.

  15. Home monitoring of implantable cardioverter-defibrillators: interpretation reliability of the second-generation “IEGM Online” system

    PubMed Central

    Nägele, Herbert; Lipoldová, Jolana; Oswald, Hanno; Klein, Gunnar; Elvan, Arif; Vester, Ernst; Bauer, Wolfgang; Bondke, Hansjürgen; Reif, Sebastian; Daub, Claudia; Menzel, Frank; Schrader, Jürgen; Zach, Göran

    2015-01-01

    Aims Intracardiac electrograms (IEGMs) are essential for the assessment of implantable cardioverter-defibrillator (ICD) function. The Biotronik Home Monitoring systems transmit an ‘IEGM Online’ that is shorter than the full-length programmer IEGM due to technical constrains. The aim of this study was to evaluate the accuracy of the physician's classification of the underlying rhythm based on the second-generation IEGM Online. Methods and results In total, 1533 patients treated with single- and dual-chamber ICDs and cardiac resynchronization therapy defibrillators were enrolled at 67 investigational sites and followed for 15 months. The investigators classified the rhythm shown in IEGM Online as ventricular tachycardia, ventricular fibrillation, atrial fibrillation, other supraventricular tachyarrhythmia, oversensing due to lead failure, T-wave oversensing, or other rhythm. At the next in-office follow-up, the investigators classified independently the rhythm seen in the corresponding programmer IEGM. The two rhythm classifications were compared thereafter. Both IEGM Online and programmer IEGM were available in 2099 arrhythmic or oversensing events, of which 146 (7.0%) were classified as other rhythm or artefacts and were excluded as inconclusive or atypical. The remaining 1953 events, affecting 352 patients (23.0%), were classified correctly in 1803 cases (92.3%). The accuracy of rough rhythm classification as ventricular, supraventricular, or oversensing was 97.2%. Conclusion The Lumax and IEGM Online HD Evaluation study demonstrates that remote IEGM analysis is reasonably accurate in a remote monitoring system that transmits shorter IEGM than the full-length programmer IEGM for the sake of frequent, fully automatic data transmission. PMID:25567067

  16. Predicting High Frequency Wind-wave Generated Seismic Noise: a Way to Remotely Monitor Sea-ice Mechanical State.

    NASA Astrophysics Data System (ADS)

    Gimbert, F.; Tsai, V. C.

    2014-12-01

    It is commonly accepted that ambient ground motion within the 1 s to 10 s period range (including the so-called secondary microseism peak) is caused by ocean wave interactions that induce pressure fluctuations at the ocean floor through acoustic waves. In recent years, numerical ocean wave models have successfully predicted the maximum amplitude of the secondary microseism peak in the 4 s to 8 s range, where seismic energy is mainly caused by the interaction of ocean swells of typically 8 s to 16 s of periods, i.e. 100-400 m wavelengths, that travel in opposite directions as they are generated by distant storms, by single but fast moving storms or by coastal reflections. In contrast, little attention has been devoted to the contribution of local wind generated seas characterized by shorter period waves (1 s to 3 s ocean waves, i.e. 1-10 m wavelengths) in the generation of higher frequency seismic noise in coastal regions. While this noise content is becoming increasingly used by seismologists, for example for high resolution ground imaging from dense arrays, its absolute amplitude and frequency dependence has not yet been consistently predicted: this is the purpose of this talk. We present a simple analytical approach that allows the prediction of ambient seismic noise recorded on land in the 0.5 s to 3 s range from knowledge of the local wind field operating on the surrounding ocean. Ocean waves and their interactions are accounted for within hundreds of kilometers from coastal seismic stations, and a realistic ground structure is considered in the generation and propagation of Rayleigh waves. We show that the amplitude and frequency scaling of hourly noise spectra can be systematically predicted, and thus suggest that seismic stations can complement in-situ measurements in inferring wind sea properties in coastal regions. Furthermore, we use our new approach to demonstrate that seismic stations deployed on land can be used to remotely study ocean waves in sea ice

  17. A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system

    NASA Astrophysics Data System (ADS)

    Min, Byung Jun; Nam, Heerim; Jeong, Il Sun; Lee, Hyebin

    2015-07-01

    In recent years, the use of a picture archiving and communication system (PACS) for radiation therapy has become the norm in hospital environments and has been suggested for collecting and managing data using Digital Imaging and Communication in Medicine (DICOM) objects from different treatment planning systems (TPSs). However, some TPSs do not provide the ability to export the dose-volume histogram (DVH) in text or other format. In addition, plan review systems for various TPSs often allow DVH recalculations with different algorithms. These algorithms result in inevitable discrepancies between the values obtained with the recalculation and those obtained with TPS itself. The purpose of this study was to develop a simple method for generating reproducible DVH values by using the TPSs. Treatment planning information, including structures and delivered dose, was exported in the DICOM format from the Eclipse v8.9 or the Pinnacle v9.6 planning systems. The supersampling and trilinear interpolation methods were employed to calculate the DVH data from 35 treatment plans. The discrepancies between the DVHs extracted from each TPS and those extracted by using the proposed calculation method were evaluated with respect to the supersampling ratio. The volume, minimum dose, maximum dose, and mean dose were compared. The variations in DVHs from multiple TPSs were compared by using the MIM software v6.1, which is a commercially available treatment planning comparison tool. The overall comparisons of the volume, minimum dose, maximum dose, and mean dose showed that the proposed method generated relatively smaller discrepancies compared with TPS than the MIM software did compare with the TPS. As the structure volume decreased, the overall percent difference increased. The largest difference was observed in small organs such as the eye ball, eye lens, and optic nerve which had volume below 10 cc. A simple and useful technique was developed to generate a DVH with an acceptable

  18. Indianapolis I3: the third generation Integrated Advanced Information Management Systems.

    PubMed

    McGowan, Julie J; Overhage, J Marc; Barnes, Mike; McDonald, Clement J

    2004-04-01

    In 2001, the Regenstrief Institute for Health Care and the Indiana University School of Medicine (IUSM) began an IAIMS planning effort to create a vision and a tactical plan for the first Integrated Advanced Information Management Systems (IAIMS) implementation to cross a large area and include unaffiliated institutions. A number of elements made this planning effort unique. Among these elements were the existence of a network infrastructure that supported the Indianapolis Network for Patient Care, the existence of a mature medical informatics program at the Regenstrief Institute, and the existence of a wide-area knowledge network fostered by the IUSM libraries. However, the leadership for a strong information technology role in the IUSM that could promote collaboration in support of education and research across the diverse Indianapolis hospital systems had been lacking. By bringing together various groups, each with a commitment to improve health care quality and public health across the Indianapolis metropolitan area, regardless of individual institutional affiliation, the strategic directions for I3-Indianapolis IAIMS Initiative have been defined and the foundations for a third generation IAIMS construct have been laid in Indianapolis, Indiana.

  19. Educating the Next Generation of Geoscientists: Strategies for Formal and Informal Settings

    NASA Astrophysics Data System (ADS)

    Burrell, S.

    2013-12-01

    ENGAGE, Educating the Next Generation of Geoscientists, is an effort funded by the National Science Foundation to provide academic opportunities for members of underrepresented groups to learn geology in formal and informal settings through collaboration with other universities and science organizations. The program design tests the hypothesis that developing a culture of on-going dialogue around science issues through special guest lectures and workshops, creating opportunities for mentorship through informal lunches, incorporating experiential learning in the field into the geoscience curriculum in lower division courses, partnership-building through the provision of paid summer internships and research opportunities, enabling students to participate in professional conferences, and engaging family members in science education through family science nights and special presentations, will remove the academic, social and economic obstacles that have traditionally hindered members of underrepresented groups from participation in the geosciences and will result in an increase in geoscience literacy and enrollment. Student feedback and anecdotal evidence indicate an increased interest in geology as a course of study and increased awareness of the relevance of geology everyday life. Preliminary statistics from two years of program implementation indicate increased student comprehension of Earth science concepts and ability to use data to identify trends in the natural environment.

  20. Generating River Discharge Estimates for the Bay of Bengal using NASA's Land Information System

    NASA Astrophysics Data System (ADS)

    Brown, J. E.

    2006-05-01

    The Bay of Bengal, the Andaman Sea, and their respective catchment areas present an exciting area for a focused case study of the global water cycle. In this study NASA's Land Information System (LIS) and the community (National Centers for Environmental Prediction, Oregon State University, Air Force, Hydrologic Research Lab) NOAH land-surface model are used to generate river runoff estimates using two approaches to simulate river routing. The first method involves developing a river travel-time map for every grid point in the catchment area. Along stream distance information comes from the University of New Hampshire's 30-minute Simulated Topological Network (STN-30) artificial river network. Velocity information is determined for each network point utilizing NOAA's 2-minute global relief data (ETOPO2). Travel times equaled one month or less for most of the study area except for the headwaters of the Ganges and Brahmaputra rivers which were longer. Daily values of 0.25 deg spatial resolution surface runoff generated from LIS, were sub-totaled according to each river basin and added up on a monthly basis. The model was forced using NOAA's Climate Prediction Center Merged Analysis of Precipitation (CMAP) precipitation product with NASA's Goddard Earth Observing System Data Assimilation System (GEOS) numerical weather model. A first test was conducted for the year 2002. LIS/NOAH-generated surface runoff for the Ganges/Brahmaputra combined basin for August 2002 equaled 17.5× 103 kg/m/day which converts to a river discharge estimate of 303×106 m3/sec. For the predictions from this simple approach to agree with observations from the Global Runoff Data Centre (GRDC) less than 1% of the rainfall can exit the Ganges/Brahmaputra basin as river discharge. The second method involves adapting the University of Washington's Variable Infiltration Capacity (VIC) routing model to handle the LIS surface and sub-surface runoff. Flow direction was along the STN-30 network, flow

  1. Monitoring materials

    DOEpatents

    Orr, Christopher Henry; Luff, Craig Janson; Dockray, Thomas; Macarthur, Duncan Whittemore

    2002-01-01

    The apparatus and method provide techniques for effectively implementing alpha and/or beta and/or gamma monitoring of items or locations as desired. Indirect alpha monitoring by detecting ions generated by alpha emissions, in conjunction with beta and/or gamma monitoring is provided. The invention additionally provides for screening of items prior to alpha monitoring using beta and/or gamma monitoring, so as to ensure that the alpha monitoring apparatus is not contaminated by proceeding direct to alpha monitoring of a heavily contaminated item or location. The invention provides additional versatility in the emission forms which can be monitored, whilst maintaining accuracy and avoiding inadvertent contamination.

  2. ESA Data User Element PERMAFROST: a spaceborne permafrost monitoring and information system

    NASA Astrophysics Data System (ADS)

    Bartsch, A.; Heim, B.; Boike, J.; Elger, K.; Muster, S.; Langer, M.; Westermann, S.; Sobiech, J.

    2010-12-01

    Permafrost is a subsurface phenomenon whose ground thermal regime is mainly influenced by air temperature, land cover, soil and rock properties and snow parameters. Many spaceborne applications are potentially indicative for the thermal state of Permafrost, such as ‘land surface temperature’, ‘surface moisture’, ‘freeze/thaw’, ‘terrain’, ‘vegetation’ and ‘changes of surface waters’. The major task of the ESA Data User Element Permafrost project is to develop circumarctic/-boreal Earth Observation services of these parameters with extensive involvement of the permafrost research community The DUE PERMAFROST datasets will be processed in the EO-PERMAFROST Information System and provided via a WebGIS-interface. Further information is available at www.ipf.tuwien.ac.at/ permafrost. In order to set up the required validation tasks and information services, a target area approach with specified case study regions is used. Most of the foreseen DUE PERMAFROST remote sensing applications are well established and can optimally become operational. The goal of DUE PERMAFROST is to lend confidence in their scientific utility for high-latitude permafrost landscapes. Therefore, a major component is the evaluation of the DUE PERMAFROST products. Ground measurements in the high-latitude landscapes involve challenging logistics and are networked on multidisciplinary and circum-arctic level by the Permafrost community. The International Permafrost Association (IPA) has built up the Global Terrestrial Network for Permafrost (GTN-P) that is a network of the Circumpolar Active Layer Monitoring (CALM) and the Thermal State of Permafrost (TSP) projects. A major part of the DUE PERMAFROST core User group is contributing to GTN-P. Additional members of these programs and circum-arctic networks have also been involved in the consulting process and ground data providing process. Match-up data sets of ground data and remote sensing products coincident in time and

  3. Estimation of SW radiation budget using geostationary satellites and quasi-real-time monitoring of PV power generation

    NASA Astrophysics Data System (ADS)

    Takenaka, H.; Nakajima, T. Y.; Inoue, T.; Takamura, T.; Pinker, R. T.; Teruyuki, N.

    2012-12-01

    Clouds can cool the Earth by reflecting solar radiation and also can keep the Earth warm by absorbing and emitting terrestrial radiation. They are important in the energy balance at the Earth surface and the Top of the Atmosphere (TOA) and are connected complicatedly into the Earth system as well as other climate feedback processes. Thus it is important to estimate Earth's radiation budget for better understanding of climate and environmental change. In this study, we developed the high speed and accurate algorithm for shortwave (SW) radiation budget and it's applied to five geostationary satellites for global analysis. There are validated by SKYNET and BSRN ground observation data. The analysis results showed a distinctive trend of direct and diffuse component of surface SW fluxes in North Pacific and North Atlantic ocean. Similarly, developed algorithm is applied to quasi-real time analysis synchronous to geostationary satellite observation. It enabled highly accurate monitoring of solar radiation and photo voltaic (PV) power generation. It indicates the possibility of the fusion analysis of climate study and renewable energy.

  4. Online Monitoring Oxidative Products and Metabolites of Nicotine by Free Radicals Generation with Fenton Reaction in Tandem Mass Spectrometry

    PubMed Central

    Liang, Shih-Shin; Shiue, Yow-Ling; Kuo, Chao-Jen; Liao, Wei-Ting; Tsai, Eing-Mei

    2013-01-01

    In general, over 70% absorbed nicotine is metabolized to cotinine and trans-3′-hydroxycotinine by cytochrome oxidase P450, and nicotine is also a major addictive and the psychoactive component in cigarettes. As a xenobiotic metabolism, hydrophobic compounds are usually converted into more hydrophilic products through enzyme systems such as cytochrome oxidase P450, sulfotransferases, and UDP-glucuronosyltransferases to deliver drug metabolites out of the cell during the drug metabolic process. In this study, an electrodeless electrochemical oxidation (EEO) reaction via Fenton reaction by producing free radical to react with nicotine to immediately monitor the oxidative products and metabolic derivatives of nicotine by tandem mass spectrometer (MS) is done. Fenton reaction generates free radicals via ferrous ion (Fe2+) and hydrogen peroxide (H2O2) to oxidize DNA and to degrade proteins in cells. In the EEO method, the oxidative products of nicotine including cotinine, cotinine-N-oxide, trans-3′-hydroxycotinine, nornicotine, norcotinine, 4-oxo-4-(3-pyridyl)-butanoic acid, 4-hydroxy-4-(3-pyridyl)-butanoic acid, and nicotine-N′-oxide were detected by tandem mass spectrometer to simulate the changes of nicotine and its derivatives in a time-dependent manner. PMID:23983622

  5. Potential applications of next generation DNA sequencing of 16S rRNA gene amplicons in microbial water quality monitoring.

    PubMed

    Vierheilig, J; Savio, D; Ley, R E; Mach, R L; Farnleitner, A H; Reischer, G H

    2015-01-01

    The applicability of next generation DNA sequencing (NGS) methods for water quality assessment has so far not been broadly investigated. This study set out to evaluate the potential of an NGS-based approach in a complex catchment with importance for drinking water abstraction. In this multi-compartment investigation, total bacterial communities in water, faeces, soil, and sediment samples were investigated by 454 pyrosequencing of bacterial 16S rRNA gene amplicons to assess the capabilities of this NGS method for (i) the development and evaluation of environmental molecular diagnostics, (ii) direct screening of the bulk bacterial communities, and (iii) the detection of faecal pollution in water. Results indicate that NGS methods can highlight potential target populations for diagnostics and will prove useful for the evaluation of existing and the development of novel DNA-based detection methods in the field of water microbiology. The used approach allowed unveiling of dominant bacterial populations but failed to detect populations with low abundances such as faecal indicators in surface waters. In combination with metadata, NGS data will also allow the identification of drivers of bacterial community composition during water treatment and distribution, highlighting the power of this approach for monitoring of bacterial regrowth and contamination in technical systems. PMID:26606090

  6. Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring.

    PubMed

    Wu, Mingquan; Li, Hua; Huang, Wenjiang; Niu, Zheng; Wang, Changyao

    2015-08-01

    There is a shortage of daily high spatial land surface temperature (LST) data for use in high spatial and temporal resolution environmental process monitoring. To address this shortage, this work used the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), and the Spatial and Temporal Data Fusion Approach (STDFA) to estimate high spatial and temporal resolution LST by combining Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) LST and Moderate Resolution Imaging Spectroradiometer (MODIS) LST products. The actual ASTER LST products were used to evaluate the precision of the combined LST images using the correlation analysis method. This method was tested and validated in study areas located in Gansu Province, China. The results show that all the models can generate daily synthetic LST image with a high correlation coefficient (r) of 0.92 between the synthetic image and the actual ASTER LST observations. The ESTARFM has the best performance, followed by the STDFA and the STARFM. Those models had better performance in desert areas than in cropland. The STDFA had better noise immunity than the other two models. PMID:26165141

  7. Potential applications of next generation DNA sequencing of 16S rRNA gene amplicons in microbial water quality monitoring.

    PubMed

    Vierheilig, J; Savio, D; Ley, R E; Mach, R L; Farnleitner, A H; Reischer, G H

    2015-01-01

    The applicability of next generation DNA sequencing (NGS) methods for water quality assessment has so far not been broadly investigated. This study set out to evaluate the potential of an NGS-based approach in a complex catchment with importance for drinking water abstraction. In this multi-compartment investigation, total bacterial communities in water, faeces, soil, and sediment samples were investigated by 454 pyrosequencing of bacterial 16S rRNA gene amplicons to assess the capabilities of this NGS method for (i) the development and evaluation of environmental molecular diagnostics, (ii) direct screening of the bulk bacterial communities, and (iii) the detection of faecal pollution in water. Results indicate that NGS methods can highlight potential target populations for diagnostics and will prove useful for the evaluation of existing and the development of novel DNA-based detection methods in the field of water microbiology. The used approach allowed unveiling of dominant bacterial populations but failed to detect populations with low abundances such as faecal indicators in surface waters. In combination with metadata, NGS data will also allow the identification of drivers of bacterial community composition during water treatment and distribution, highlighting the power of this approach for monitoring of bacterial regrowth and contamination in technical systems.

  8. The Situational Leadership Approach Effects on Employee Motivation in Multi-Generational Information Technology Organizations

    ERIC Educational Resources Information Center

    Irby, Thaddaeus

    2011-01-01

    This study examines the three generations comprising today's IT organizations to determine whether the Situational Leadership approach is effective in motivating this diverse work force to perform project-related tasks. Baby Boomer employees, Generation X employees, and Generation Y employees are the three generations actively employed in IT…

  9. Utilizing Hierarchical Segmentation to Generate Water and Snow Masks to Facilitate Monitoring Change with Remotely Sensed Image Data

    NASA Technical Reports Server (NTRS)

    Tilton, James C.; Lawrence, William T.; Plaza, Antonio J.

    2006-01-01

    The hierarchical segmentation (HSEG) algorithm is a hybrid of hierarchical step-wise optimization and constrained spectral clustering that produces a hierarchical set of image segmentations. This segmentation hierarchy organizes image data in a manner that makes the image's information content more accessible for analysis by enabling region-based analysis. This paper discusses data analysis with HSEG and describes several measures of region characteristics that may be useful analyzing segmentation hierarchies for various applications. Segmentation hierarchy analysis for generating landwater and snow/ice masks from MODIS (Moderate Resolution Imaging Spectroradiometer) data was demonstrated and compared with the corresponding MODIS standard products. The masks based on HSEG segmentation hierarchies compare very favorably to the MODIS standard products. Further, the HSEG based landwater mask was specifically tailored to the MODIS data and the HSEG snow/ice mask did not require the setting of a critical threshold as required in the production of the corresponding MODIS standard product.

  10. Next-generation personalised medicine for high-risk paediatric cancer patients - The INFORM pilot study.

    PubMed

    Worst, Barbara C; van Tilburg, Cornelis M; Balasubramanian, Gnana Prakash; Fiesel, Petra; Witt, Ruth; Freitag, Angelika; Boudalil, Miream; Previti, Christopher; Wolf, Stephan; Schmidt, Sabine; Chotewutmontri, Sasithorn; Bewerunge-Hudler, Melanie; Schick, Matthias; Schlesner, Matthias; Hutter, Barbara; Taylor, Lenka; Borst, Tobias; Sutter, Christian; Bartram, Claus R; Milde, Till; Pfaff, Elke; Kulozik, Andreas E; von Stackelberg, Arend; Meisel, Roland; Borkhardt, Arndt; Reinhardt, Dirk; Klusmann, Jan-Henning; Fleischhack, Gudrun; Tippelt, Stephan; Dirksen, Uta; Jürgens, Heribert; Kramm, Christof M; von Bueren, Andre O; Westermann, Frank; Fischer, Matthias; Burkhardt, Birgit; Wößmann, Wilhelm; Nathrath, Michaela; Bielack, Stefan S; Frühwald, Michael C; Fulda, Simone; Klingebiel, Thomas; Koscielniak, Ewa; Schwab, Matthias; Tremmel, Roman; Driever, Pablo Hernáiz; Schulte, Johannes H; Brors, Benedikt; von Deimling, Andreas; Lichter, Peter; Eggert, Angelika; Capper, David; Pfister, Stefan M; Jones, David T W; Witt, Olaf

    2016-09-01

    The 'Individualized Therapy for Relapsed Malignancies in Childhood' (INFORM) precision medicine study is a nationwide German program for children with high-risk relapsed/refractory malignancies, which aims to identify therapeutic targets on an individualised basis. In a pilot phase, reported here, we developed the logistical and analytical pipelines necessary for rapid and comprehensive molecular profiling in a clinical setting. Fifty-seven patients from 20 centers were prospectively recruited. Malignancies investigated included sarcomas (n = 25), brain tumours (n = 23), and others (n = 9). Whole-exome, low-coverage whole-genome, and RNA sequencing were complemented with methylation and expression microarray analyses. Alterations were assessed for potential targetability according to a customised prioritisation algorithm and subsequently discussed in an interdisciplinary molecular tumour board. Next-generation sequencing data were generated for 52 patients, with the full analysis possible in 46 of 52. Turnaround time from sample receipt until first report averaged 28 d. Twenty-six patients (50%) harbored a potentially druggable alteration with a prioritisation score of 'intermediate' or higher (level 4 of 7). Common targets included receptor tyrosine kinases, phosphoinositide 3-kinase-mammalian target of rapamycin pathway, mitogen-activated protein kinase pathway, and cell cycle control. Ten patients received a targeted therapy based on these findings, with responses observed in some previously treatment-refractory tumours. Comparative primary relapse analysis revealed substantial tumour evolution as well as one case of unsuspected secondary malignancy, highlighting the importance of re-biopsy at relapse. This study demonstrates the feasibility of comprehensive, real-time molecular profiling for high-risk paediatric cancer patients. This extended proof-of-concept, with examples of treatment consequences, expands upon previous personalised oncology endeavors

  11. Next-generation personalised medicine for high-risk paediatric cancer patients - The INFORM pilot study.

    PubMed

    Worst, Barbara C; van Tilburg, Cornelis M; Balasubramanian, Gnana Prakash; Fiesel, Petra; Witt, Ruth; Freitag, Angelika; Boudalil, Miream; Previti, Christopher; Wolf, Stephan; Schmidt, Sabine; Chotewutmontri, Sasithorn; Bewerunge-Hudler, Melanie; Schick, Matthias; Schlesner, Matthias; Hutter, Barbara; Taylor, Lenka; Borst, Tobias; Sutter, Christian; Bartram, Claus R; Milde, Till; Pfaff, Elke; Kulozik, Andreas E; von Stackelberg, Arend; Meisel, Roland; Borkhardt, Arndt; Reinhardt, Dirk; Klusmann, Jan-Henning; Fleischhack, Gudrun; Tippelt, Stephan; Dirksen, Uta; Jürgens, Heribert; Kramm, Christof M; von Bueren, Andre O; Westermann, Frank; Fischer, Matthias; Burkhardt, Birgit; Wößmann, Wilhelm; Nathrath, Michaela; Bielack, Stefan S; Frühwald, Michael C; Fulda, Simone; Klingebiel, Thomas; Koscielniak, Ewa; Schwab, Matthias; Tremmel, Roman; Driever, Pablo Hernáiz; Schulte, Johannes H; Brors, Benedikt; von Deimling, Andreas; Lichter, Peter; Eggert, Angelika; Capper, David; Pfister, Stefan M; Jones, David T W; Witt, Olaf

    2016-09-01

    The 'Individualized Therapy for Relapsed Malignancies in Childhood' (INFORM) precision medicine study is a nationwide German program for children with high-risk relapsed/refractory malignancies, which aims to identify therapeutic targets on an individualised basis. In a pilot phase, reported here, we developed the logistical and analytical pipelines necessary for rapid and comprehensive molecular profiling in a clinical setting. Fifty-seven patients from 20 centers were prospectively recruited. Malignancies investigated included sarcomas (n = 25), brain tumours (n = 23), and others (n = 9). Whole-exome, low-coverage whole-genome, and RNA sequencing were complemented with methylation and expression microarray analyses. Alterations were assessed for potential targetability according to a customised prioritisation algorithm and subsequently discussed in an interdisciplinary molecular tumour board. Next-generation sequencing data were generated for 52 patients, with the full analysis possible in 46 of 52. Turnaround time from sample receipt until first report averaged 28 d. Twenty-six patients (50%) harbored a potentially druggable alteration with a prioritisation score of 'intermediate' or higher (level 4 of 7). Common targets included receptor tyrosine kinases, phosphoinositide 3-kinase-mammalian target of rapamycin pathway, mitogen-activated protein kinase pathway, and cell cycle control. Ten patients received a targeted therapy based on these findings, with responses observed in some previously treatment-refractory tumours. Comparative primary relapse analysis revealed substantial tumour evolution as well as one case of unsuspected secondary malignancy, highlighting the importance of re-biopsy at relapse. This study demonstrates the feasibility of comprehensive, real-time molecular profiling for high-risk paediatric cancer patients. This extended proof-of-concept, with examples of treatment consequences, expands upon previous personalised oncology endeavors

  12. Connecting World Heritage Nominations and Monitoring with the Support of the Silk Roads Cultural Heritage Resource Information System

    NASA Astrophysics Data System (ADS)

    Vileikis, O.; Dumont, B.; Serruys, E.; Van Balen, K.; Tigny, V.; De Maeyer, P.

    2013-07-01

    Serial transnational World Heritage nominations are challenging the way cultural heritage has been managed and evaluated in the past. Serial transnational World Heritage nominations are unique in that they consist of multiple sites listed as one property, distributed in different countries, involving a large diversity of stakeholders in the process. As a result, there is a need for precise baseline information for monitoring, reporting and decision making. This type of nomination requires different methodologies and tools to improve the monitoring cycle from the beginning of the nomination towards the periodic reporting. The case study of the Silk Roads Cultural Heritage Resource Information System (CHRIS) illustrates the use of a Geographical Content Management System (Geo-CMS) supporting the serial transnational World Heritage nomination and the monitoring of the Silk Roads in the five Central Asian countries. The Silk Roads CHRIS is an initiative supported by UNESCO World Heritage Centre (WHC) and the Belgian Federal Science Policy Office (BELSPO), and developed by a consortium headed by the Raymond Lemaire International Centre for Conservation (RLICC) at the KULeuven. The Silk Roads CHRIS has been successfully assisting in the preparation of the nomination dossiers of the Republics of Kazakhstan, Tajikistan and Uzbekistan and will be used as a tool for monitoring tool in the Central Asian countries.

  13. Parenting Practices and Problem Behavior across Three Generations: Monitoring, Harsh Discipline, and Drug Use in the Intergenerational Transmission of Externalizing Behavior

    ERIC Educational Resources Information Center

    Bailey, Jennifer A.; Hill, Karl G.; Oesterle, Sabrina; Hawkins, J. David

    2009-01-01

    Using data from grandparents (G1), parents (G2), and children (G3), this study examined continuity in parental monitoring, harsh discipline, and child externalizing behavior across generations, and the contribution of parenting practices and parental drug use to intergenerational continuity in child externalizing behavior. Structural equation and…

  14. Challenges of agricultural monitoring: integration of the Open Farm Management Information System into GEOSS and Digital Earth

    NASA Astrophysics Data System (ADS)

    Řezník, T.; Kepka, M.; Charvát, K.; Charvát, K., Jr.; Horáková, S.; Lukas, V.

    2016-04-01

    From a global perspective, agriculture is the single largest user of freshwater resources, each country using an average of 70% of all its surface water supplies. An essential proportion of agricultural water is recycled back to surface water and/or groundwater. Agriculture and water pollution is therefore the subject of (inter)national legislation, such as the Clean Water Act in the United States of America, the European Water Framework Directive, and the Law of the People's Republic of China on the Prevention and Control of Water Pollution. Regular monitoring by means of sensor networks is needed in order to provide evidence of water pollution in agriculture. This paper describes the benefits of, and open issues stemming from, regular sensor monitoring provided by an Open Farm Management Information System. Emphasis is placed on descriptions of the processes and functionalities available to users, the underlying open data model, and definitions of open and lightweight application programming interfaces for the efficient management of collected (spatial) data. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture pollution monitoring. The final part of the paper deals with the integration of the Open Farm Management Information System into the Digital Earth framework.

  15. Constraint monitoring in TOSCA

    NASA Technical Reports Server (NTRS)

    Beck, Howard

    1992-01-01

    The Job-Shop Scheduling Problem (JSSP) deals with the allocation of resources over time to factory operations. Allocations are subject to various constraints (e.g., production precedence relationships, factory capacity constraints, and limits on the allowable number of machine setups) which must be satisfied for a schedule to be valid. The identification of constraint violations and the monitoring of constraint threats plays a vital role in schedule generation in terms of the following: (1) directing the scheduling process; and (2) informing scheduling decisions. This paper describes a general mechanism for identifying constraint violations and monitoring threats to the satisfaction of constraints throughout schedule generation.

  16. 76 FR 36539 - Scientific Information Request on Insulin Delivery and Glucose Monitoring Devices for Diabetes...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-06-22

    ... method (pen vs. vial or syringe), study design, information about device use (e.g., analyses based on... HUMAN SERVICES Agency for Healthcare Research and Quality Scientific Information Request on Insulin... Quality (AHRQ), HHS. ACTION: Request for scientific information submissions. SUMMARY: The Agency...

  17. Next-generation air monitoring – an overview of EPA research to develop real-time instrumentation packages for stationary and mobile monitoring

    EPA Science Inventory

    Abstract. Air pollution measurement technology is advancing rapidly towards small-scale, real-time, wireless detectors, with a potential to significantly change the landscape of air pollution monitoring. The U.S. EPA Office of Research and Development is evaluating and developi...

  18. Employing spatial information technologies to monitor biological control of saltcedar in West Texas

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The saltcedar leaf beetle (Diorhadha spp.) has shown promise as a biocontrol agent for saltcedar (Tamarix spp.) invasions in the United States. In Texas, natural resource managers need assistance in monitoring biological control of invasive saltcedars. This study describes application of a medium fo...

  19. False alarm reduction in BSN-based cardiac monitoring using signal quality and activity type information.

    PubMed

    Tanantong, Tanatorn; Nantajeewarawat, Ekawit; Thiemjarus, Surapa

    2015-01-01

    False alarms in cardiac monitoring affect the quality of medical care, impacting on both patients and healthcare providers. In continuous cardiac monitoring using wireless Body Sensor Networks (BSNs), the quality of ECG signals can be deteriorated owing to several factors, e.g., noises, low battery power, and network transmission problems, often resulting in high false alarm rates. In addition, body movements occurring from activities of daily living (ADLs) can also create false alarms. This paper presents a two-phase framework for false arrhythmia alarm reduction in continuous cardiac monitoring, using signals from an ECG sensor and a 3D accelerometer. In the first phase, classification models constructed using machine learning algorithms are used for labeling input signals. ECG signals are labeled with heartbeat types and signal quality levels, while 3D acceleration signals are labeled with ADL types. In the second phase, a rule-based expert system is used for combining classification results in order to determine whether arrhythmia alarms should be accepted or suppressed. The proposed framework was validated on datasets acquired using BSNs and the MIT-BIH arrhythmia database. For the BSN dataset, acceleration and ECG signals were collected from 10 young and 10 elderly subjects while they were performing ADLs. The framework reduced the false alarm rate from 9.58% to 1.43% in our experimental study, showing that it can potentially assist physicians in diagnosing a vast amount of data acquired from wireless sensors and enhance the performance of continuous cardiac monitoring. PMID:25671512

  20. 77 FR 36488 - Proposed Information Collection; Comment Request; Vessel Monitoring System Requirements Under the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-19

    ... near real-time satellite-based position-fixing transmitters (``Vessel Monitoring System-VMS-units'') at... must transmit: (1) ``On/off reports'' to NMFS whenever the VMS unit is turned off while the vessel is in port, (2) ``activation reports'' to NMFS prior to the first use of a VMS unit, and (3)...

  1. 75 FR 43487 - Proposed Information Collection; Comment Request; Vessel Monitoring System Requirements in...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-26

    ... vessel monitoring system (VMS) units on their vessels when directed to do so by NOAA enforcement personnel. VMS units automatically send periodic reports on the position of the vessel. NOAA uses the..., VMS installation and annual maintenance are considered public burden. This request combines three...

  2. 78 FR 55060 - Proposed Information Collection; Comment Request; Expanded Vessel Monitoring System Requirement...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-09

    ... commercial fishing vessels are required to install and use a vessel monitoring system (VMS) that... pilot VMS program was implemented on January 1, 2004. The pilot program required vessels registered to Pacific Coast groundfish fishery limited entry permits to carry and use VMS transceiver units...

  3. 75 FR 62098 - Proposed Information Collection; Comment Request; Expanded Vessel Monitoring System Requirement...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-07

    ...-AY68, in late 2010. As stated in the proposed rule for RIN 0648-AY68 (75 FR 53380, August 31, 2010... commercial fishing vessels are required to install and use a vessel monitoring system (VMS) that... pilot VMS program was implemented on January 1, 2004. The pilot program required vessels registered...

  4. Radar Monitoring of Wetland Hydrology: Dynamic information for the Assessment of Ecosystem Services

    Technology Transfer Automated Retrieval System (TEKTRAN)

    C-band synthetic aperture radar (SAR) data can improve the ability to map forested wetlands via the monitoring of forested wetland hydrology, but further research is necessary to fully quantify the benefits and limitations of this approach [1], especially at the watershed scale. Research has been co...

  5. Before the storm: informing and involving stakeholder groups in workplace biomarker monitoring.

    PubMed

    Musham, C; Trettin, L; Jablonski, R

    1999-01-01

    The social, legal and ethical implications of advances in biomarker indentification have been discussed by scholars and environmental researchers, but not by the "everyday" professionals and workers who may eventually make and be affected by decisions about their workplace applications. Through the use of a hypothetical scenario, this study introduced members of various professional and occupational groups to the potential uses of biomarkers research on biological monitoring in the workplace. The purpose was to obtain opinions about how events would proceed based on the scenario, leading to a broad discussion of potential uses and abuses of biomarker-based health monitoring. Six professionally homogeneous focus groups, comprised of 1) company health professionals, 2) third-party payers, 3) attorneys, 4) human resource managers, 5) non-unionized workers, and 6) unionized workers, participated in focus groups presented as "think-tank" discussions in Greenville and Charleston, S.C. Participants were given a fictitious "newspaper article" about the use of biomarker-based monitoring at a chemical plant and were asked to comment on what they thought would happen next. The discussion expanded to a general consideration of biological monitoring and its legal, social and ethical ramifications. Data was analyzed through the "immersion/crystallization" method. Few participants reported any knowledge of biological monitoring prior to the focus group session. Some had initial difficulty understanding the concept and how it differs from other means of measuring environmental risk. Although biological monitoring was previously unknown to many participants, occupational groups were relatively consistent in the issues they raised about its use in the workplace. In all groups, questions about potential discrimination against employees were raised. The general consensus was that the use of biomarker-based monitoring would result in conflict and litigation without regulations to

  6. Development of personal pollen information-the next generation of pollen information and a step forward for hay fever sufferers.

    PubMed

    Kmenta, Maximilian; Bastl, Katharina; Jäger, Siegfried; Berger, Uwe

    2014-10-01

    Pollen allergies affect a large part of the European population and are considered likely to increase. User feedback indicates that there are difficulties in providing proper information and valid forecasts using traditional methods of aerobiology due to a variety of factors. Allergen content, pollen loads, and pollen allergy symptoms vary per region and year. The first steps in challenging such issues have already been undertaken. A personalized pollen-related symptom forecast is thought to be a possible answer. However, attempts made thus far have not led to an improvement in daily forecasting procedures. This study describes a model that was launched in 2013 in Austria to provide the first available personal pollen information. This system includes innovative forecast models using bi-hourly pollen data, traditional pollen forecasts based on historical data, meteorological data, and recent symptom data from the patient's hayfever diary. Furthermore, it calculates the personal symptom load in real time, in particular, the entries of the previous 5 days, to classify users. The personal pollen information was made available in Austria on the Austrian pollen information website and via a mobile pollen application, described herein for the first time. It is supposed that the inclusion of personal symptoms will lead to major improvements in pollen information concerning hay fever sufferers.

  7. Gap between technically accurate information and socially appropriate information for structural health monitoring system installed into tall buildings

    NASA Astrophysics Data System (ADS)

    Mita, Akira

    2016-04-01

    The importance of the structural health monitoring system for tall buildings is now widely recognized by at least structural engineers and managers at large real estate companies to ensure the structural safety immediately after a large earthquake and appeal the quantitative safety of buildings to potential tenants. Some leading real estate companies decided to install the system into all tall buildings. Considering this tendency, a pilot project for the west area of Shinjuku Station supported by the Japan Science and Technology Agency was started by the author team to explore a possibility of using the system to provide safe spaces for commuters and residents. The system was installed into six tall buildings. From our experience, it turned out that viewing only from technological aspects was not sufficient for the system to be accepted and to be really useful. Safe spaces require not only the structural safety but also the soundness of key functions of the building. We need help from social scientists, medical doctors, city planners etc. to further improve the integrity of the system.

  8. Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

    NASA Technical Reports Server (NTRS)

    Van Donkelaar, Aaron; Martin, Randall V.; Brauer, Michael; Hsu, N. Christina; Kahn, Ralph A.; Levy, Robert C.; Lyapustin, Alexei; Sayer, Andrew M.; Winker, David M.

    2016-01-01

    We estimated global fine particulate matter (PM(sub 2.5)) concentrations using information from satellite-, simulation- and monitor-based sources by applying a Geographically Weighted Regression (GWR) to global geophysically-based satellite-derived PM(sub 2.5) estimates. Aerosol optical depth from multiple satellite products (MISR, MODIS Dark Target, MODIS and SeaWiFS Deep Blue, and MODIS MAIAC) was combined with simulation (GEOS-Chem) based upon their relative uncertainties as determined using ground-based sun photometer (AERONET) observations for 1998-2014. The GWR predictors included simulated aerosol composition and land use information. The resultant PM(sub 2.5) estimates were highly consistent (R(sup 2) equals 0.81) with out-of-sample cross-validated PM(sub 2.5) concentrations from monitors. The global population-weighted annual average PM(sub 2.5) concentrations were 3-fold higher than the 10 micrograms per cubic meter WHO guideline, driven by exposures in Asian and African regions. Estimates in regions with high contributions from mineral dust were associated with higher uncertainty, resulting from both sparse ground-based monitoring, and challenging conditions for retrieval and simulation. This approach demonstrates that the addition of even sparse ground-based measurements to more globally continuous PM(sub 2.5) data sources can yield valuable improvements to PM(sub 2.5) characterization on a global scale.

  9. An emerging network storage management standard: Media error monitoring and reporting information (MEMRI) - to determine optical tape data integrity

    NASA Technical Reports Server (NTRS)

    Podio, Fernando; Vollrath, William; Williams, Joel; Kobler, Ben; Crouse, Don

    1998-01-01

    Sophisticated network storage management applications are rapidly evolving to satisfy a market demand for highly reliable data storage systems with large data storage capacities and performance requirements. To preserve a high degree of data integrity, these applications must rely on intelligent data storage devices that can provide reliable indicators of data degradation. Error correction activity generally occurs within storage devices without notification to the host. Early indicators of degradation and media error monitoring 333 and reporting (MEMR) techniques implemented in data storage devices allow network storage management applications to notify system administrators of these events and to take appropriate corrective actions before catastrophic errors occur. Although MEMR techniques have been implemented in data storage devices for many years, until 1996 no MEMR standards existed. In 1996 the American National Standards Institute (ANSI) approved the only known (world-wide) industry standard specifying MEMR techniques to verify stored data on optical disks. This industry standard was developed under the auspices of the Association for Information and Image Management (AIIM). A recently formed AIIM Optical Tape Subcommittee initiated the development of another data integrity standard specifying a set of media error monitoring tools and media error monitoring information (MEMRI) to verify stored data on optical tape media. This paper discusses the need for intelligent storage devices that can provide data integrity metadata, the content of the existing data integrity standard for optical disks, and the content of the MEMRI standard being developed by the AIIM Optical Tape Subcommittee.

  10. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors.

    PubMed

    van Donkelaar, Aaron; Martin, Randall V; Brauer, Michael; Hsu, N Christina; Kahn, Ralph A; Levy, Robert C; Lyapustin, Alexei; Sayer, Andrew M; Winker, David M

    2016-04-01

    We estimated global fine particulate matter (PM2.5) concentrations using information from satellite-, simulation- and monitor-based sources by applying a Geographically Weighted Regression (GWR) to global geophysically based satellite-derived PM2.5 estimates. Aerosol optical depth from multiple satellite products (MISR, MODIS Dark Target, MODIS and SeaWiFS Deep Blue, and MODIS MAIAC) was combined with simulation (GEOS-Chem) based upon their relative uncertainties as determined using ground-based sun photometer (AERONET) observations for 1998-2014. The GWR predictors included simulated aerosol composition and land use information. The resultant PM2.5 estimates were highly consistent (R(2) = 0.81) with out-of-sample cross-validated PM2.5 concentrations from monitors. The global population-weighted annual average PM2.5 concentrations were 3-fold higher than the 10 μg/m(3) WHO guideline, driven by exposures in Asian and African regions. Estimates in regions with high contributions from mineral dust were associated with higher uncertainty, resulting from both sparse ground-based monitoring, and challenging conditions for retrieval and simulation. This approach demonstrates that the addition of even sparse ground-based measurements to more globally continuous PM2.5 data sources can yield valuable improvements to PM2.5 characterization on a global scale. PMID:26953851

  11. Benchmarking of hospital information systems: Monitoring of discharge letters and scheduling can reveal heterogeneities and time trends

    PubMed Central

    Dugas, Martin; Eckholt, Markus; Bunzemeier, Holger

    2008-01-01

    Background Monitoring of hospital information system (HIS) usage can provide insights into best practices within a hospital and help to assess time trends. In terms of effort and cost of benchmarking, figures derived automatically from the routine HIS system are preferable to manual methods like surveys, in particular for repeated analysis. Methods Due to relevance for quality management and efficient resource utilization we focused on time-to-completion of discharge letters (assessed by CT-plots) and usage of patient scheduling. We analyzed these parameters monthly during one year at a major university hospital in Germany. Results We found several distinct patterns of discharge letter documentation indicating a large heterogeneity of HIS usage between different specialties (completeness 51 – 99%, delays 0 – 90 days). Overall usage of scheduling increased during the observation period by 62%, but again showed a considerable variation between departments. Conclusion Regular monitoring of HIS key figures can contribute to a continuous HIS improvement process. PMID:18423046

  12. When microchip implants do more than drug delivery: blending, blurring, and bundling of protected health information and patient monitoring.

    PubMed

    Bramstedt, Katrina A

    2005-01-01

    Although currently in the research stage, scientists argue that drug-releasing microchip implants are on the horizon for future patients. This paper presents ethical reflection on these implants and identifies specific areas of concern; namely, patient monitoring and tracking, and patient privacy and confidentiality. It is foreseeable that drug delivery chips could be multifunctional with the overt or covert addition of sensors that monitor more than just the bloodstream concentrations of prescribed drugs (e.g., cotinine and alcohol in non-compliant patients, patient location via radio frequency or global positioning satellite). Similarly, it is foreseeable that these chips could be embedded with a patient's protected health information that could potentially be accessed and used by unauthorized persons. While drug delivery microchips are theoretically convenient and accurate for dosing, and might offer faster drug delivery with fewer side effects, ethical issues loom and should be contemplated now, while the technology is still under development.

  13. Beyond measures and monitoring: Realizing the potential of feedback-informed treatment.

    PubMed

    Miller, Scott D; Hubble, Mark A; Chow, Daryl; Seidel, Jason

    2015-12-01

    More than a dozen randomized controlled trials and several meta-analyses have provided strong empirical support for routine outcome monitoring (ROM) in clinical practice. Despite current enthusiasm, advances in implementation, and the growing belief among some proponents and policymakers that ROM represents a major revolution in the practice of psychotherapy, other research has suggested that the focus on measurement and monitoring is in danger of missing the point. Any clinical tool or technology is only as good as the therapist who uses it. Failing to attend to the therapist's contribution, the long neglected variable in psychotherapy outcome, ensures that efforts to create, research, and refine new outcome measurement systems will inevitably fall short. Research from the field of expertise and expert performance provides guidance for realizing the full potential of ROM.

  14. Beyond measures and monitoring: Realizing the potential of feedback-informed treatment.

    PubMed

    Miller, Scott D; Hubble, Mark A; Chow, Daryl; Seidel, Jason

    2015-12-01

    More than a dozen randomized controlled trials and several meta-analyses have provided strong empirical support for routine outcome monitoring (ROM) in clinical practice. Despite current enthusiasm, advances in implementation, and the growing belief among some proponents and policymakers that ROM represents a major revolution in the practice of psychotherapy, other research has suggested that the focus on measurement and monitoring is in danger of missing the point. Any clinical tool or technology is only as good as the therapist who uses it. Failing to attend to the therapist's contribution, the long neglected variable in psychotherapy outcome, ensures that efforts to create, research, and refine new outcome measurement systems will inevitably fall short. Research from the field of expertise and expert performance provides guidance for realizing the full potential of ROM. PMID:26641375

  15. 30 CFR 250.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... accompany the EP? 250.221 Section 250.221 Mineral Resources BUREAU OF OCEAN ENERGY MANAGEMENT, REGULATION... CONTINENTAL SHELF Plans and Information Contents of Exploration Plans (ep) § 250.221 What environmental...-specific data or information on the impacts of your exploration activities. (b) Incidental takes. If...

  16. Using global information technology to detect, monitor, and control mosquito pest and disease vector populations.

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Geographic Information Systems (GIS), image analysis, and remote sensing comprise global information technologies that are used to characterize pest and vector populations of mosquitoes. At this national meeting, scientists from ARS and McNeese State University organized and convened a half-day sym...

  17. Exploring Information Generation and Propagation from the Point of Installation on Construction Jobsites: An SNA/ABM Hybrid Approach

    ERIC Educational Resources Information Center

    Moore, Heather

    2013-01-01

    Construction requires the knowledge and experience of craftsmen. The knowledge and experience is gained through local coordination and local adaption at points of installation, which classifies the work as complex production. Information generated at these points of installation can be valuable in understanding how and why workers make decisions,…

  18. Pupil Researchers Generation X: Educating Pupils as Active Participants--An Investigation into Gathering Sensitive Information from Early Adolescents

    ERIC Educational Resources Information Center

    Symonds, Jenny E.

    2008-01-01

    Developmentally appropriate research techniques were uncovered by involving ten Year 7 pupils as researchers in a four-hour workshop that investigated the effectiveness of multiple methods in gathering sensitive information from early adolescents. The pupils learned about, tried and evaluated the methods of generating interview questions, peer and…

  19. The second generation intelligent user interface for the crustal dynamics data information system. [for nasa space missions

    NASA Technical Reports Server (NTRS)

    Short, Nicholas, Jr.; Wattawa, Scott L.

    1988-01-01

    For the past decade, operations and research projects that support a major portion of NASA's overall mission have experienced a dramatic increase in the volume of generated data and resultant information that is unparalleled in the history of the agency. The effect of such an increase is that most of the science and engineering disciplines are undergoing an information glut, which has occurred, not only because of the amount, but also because of the type of data being collected. This information glut is growing exponentially and is expected to grow for the foreseeable future. Consequently, it is becoming physically and intellectually impossible to identify, access, modify, and analyze the most suitable information. Thus, the dilemma arises that the amount and complexity of information has exceeded and will continue to exceed, using present information systems, the ability of all the scientists and engineers to understand and take advantage of this information. As a result of this information problem, NASA has initiated the Intelligent Data Management (IDM) project to design and develop Advanced Information Management (IDM) project to design and develop Advanced Information Management Systems (AIMS). The first effort of the Project was the prototyping of an Intelligent User Interface (IUI) to an operational scientific database using expert systems, natural language processing, and graphics technologies. An overview of the IUI formulation and development for the second phase is presented.

  20. Genetic counseling practice in next generation sequencing research: implications for the ethical oversight of the informed consent process.

    PubMed

    Egalite, Nathalie; Groisman, Iris Jaitovich; Godard, Beatrice

    2014-08-01

    The potential for next generation sequencing research (NGS) to generate individual genetic results could have implications for the informed consent process and the provision of genetic counseling. We undertook a content analysis of informed consent templates and guidelines produced by Canadian institutional review boards, purposively sampling documents used by researchers to obtain consent from participants in genetics studies. Our goal was to examine the extent to which the informed consent documents addressed genetic counseling and the return of individual genetic results. Our analysis reveals that the majority of informed consent documents did not mention genetic counseling while several did not mention the return of results. We found differences in the ways in which documents addressed availability of counseling, eligibility criteria for referral to a genetic counselor, genetic counselor involvement, provision of services to family members of participants and incidental findings. From an ethical standpoint, consent documents should provide appropriate information so that participants may make an informed decision about their participation in research. The need to ensure adequate counseling for study populations in an NGS research context will necessarily involve adapting values that underlie care in genetic counseling practice. If the interests of research participants are to be truly promoted, the drafting and review of informed consent documents should give proper due to genetic counseling.

  1. Genetic counseling practice in next generation sequencing research: implications for the ethical oversight of the informed consent process.

    PubMed

    Egalite, Nathalie; Groisman, Iris Jaitovich; Godard, Beatrice

    2014-08-01

    The potential for next generation sequencing research (NGS) to generate individual genetic results could have implications for the informed consent process and the provision of genetic counseling. We undertook a content analysis of informed consent templates and guidelines produced by Canadian institutional review boards, purposively sampling documents used by researchers to obtain consent from participants in genetics studies. Our goal was to examine the extent to which the informed consent documents addressed genetic counseling and the return of individual genetic results. Our analysis reveals that the majority of informed consent documents did not mention genetic counseling while several did not mention the return of results. We found differences in the ways in which documents addressed availability of counseling, eligibility criteria for referral to a genetic counselor, genetic counselor involvement, provision of services to family members of participants and incidental findings. From an ethical standpoint, consent documents should provide appropriate information so that participants may make an informed decision about their participation in research. The need to ensure adequate counseling for study populations in an NGS research context will necessarily involve adapting values that underlie care in genetic counseling practice. If the interests of research participants are to be truly promoted, the drafting and review of informed consent documents should give proper due to genetic counseling. PMID:24664856

  2. Remote sensing-based Information for crop monitoring: contribution of SAR and Moderate resolution optical data on Asian rice production

    NASA Astrophysics Data System (ADS)

    Boschetti, Mirco; Holectz, Francesco; Manfron, Giacinto; Collivignarelli, Francesco; Nelson, Andrew

    2013-04-01

    Updated information on crop typology and status are strongly required to support suitable action to better manage agriculture production and reduce food insecurity. In this field, remote sensing has been demonstrated to be a suitable tool to monitor crop condition however rarely the tested system became really operative. The ones today available, such as the European Commission MARS, are mainly based on the analysis of NDVI time series and required ancillary external information like crop mask to interpret the seasonal signal. This condition is not always guarantied worldwide reducing the potentiality of the remote sensing monitoring. Moreover in tropical countries cloud contamination strongly reduce the possibility of using optical remote sensing data for crop monitoring. In this framework we focused our analysis on the rice production monitoring in Asian tropical area. Rice is in fact the staple food for half of the world population (FAO 2004), in Asia almost 90% of the world's rice is produced and consumed and Rice and poverty often coincide. In this contest the production of reliable rice production information is of extreme interest. We tried to address two important issue in terms of required geospatial information for crop monitoring: rice crop detection (rice map) and seasonal dynamics analysis (phenology). We use both SAR and Optical data in order to exploit the potential complementarity of this system. Multi-temporal ASAR Wide Swath data are in fact the best option to deal with cloud contamination. SAR can easily penetrate the clouds providing information on the surface target. Temporal analysis of archive ASAR data allowed to derived accurate map, at 100m spatial resolution, of permanent rice cultivated areas. On the other and high frequency revisiting optical data, in this case MODIS, have been used to extract seasonal information for the year under analysis. MOD09A1 Surface Reflectance 8-Day L3 Global 500m have been exploited to derive time series of

  3. Great Lakes Integrated Sciences + Assessments: Connecting Users and Generators of Scientific Information to Inform Climate Change Adaptation

    NASA Astrophysics Data System (ADS)

    Baule, W. J.; Briley, L.; Brown, D.; Gibbons, E.

    2014-12-01

    The Great Lakes Integrated Sciences + Assessments (GLISA) is one of eleven NOAA Regional Integrated Sciences and Assessments (RISAs) and is a co-hosted by the University of Michigan and Michigan State University. The Great Lakes region falls between areas that are typically defined as the Midwest and Northeast in the United States and also includes portions of Ontario in Canada. This unique and complex region holds approximately 21% of global surface fresh water and is home to 23 million people on the United States side of the basin alone. GLISA functions as a bridge between climate science researchers and boundary organizations in the Great Lakes region, with the goals of contributing to the long-term sustainability of the region in face of a changing climate and to facilitate smart decision-making backed by sound scientific knowledge. Faculty and staff associated with GLISA implement physical and social science practices in daily operations, which includes but is not limited to: activating the boundary chain model to facilitate the transfer of knowledge through the community, integrating local and historical climate data into decision-making processes, addressing uncertainty and the downscaling of climate information, and implementing network analyses to find key access points to information networks across the Great Lakes region. GLISA also provides funding for projects related to climate and climate change adaptation in the Great Lakes region, as well as expertise to partner organizations through collaborations. Information from boundary organizations, stakeholders, and collaborators also flows back to GLISA to aid in the determination of the physical and social science needs of the region. Recent findings point to GLISA playing a crucial role in the scaling information across scales of government and ensuring that federal agencies and local stakeholders are able to learn from one another and share experiences and knowledge to continue building climate ready

  4. Multiscale satellite and spatial information and analysis framework in support of a large-area forest monitoring and inventory update.

    PubMed

    Wulder, Michael A; White, Joanne C; Gillis, Mark D; Walsworth, Nick; Hansen, Matthew C; Potapov, Peter

    2010-11-01

    Many countries undertake a national forest inventory to enable statistically valid monitoring in support of national and international reporting of forest conditions and change. Canada's National Forest Inventory (NFI) program is designed to operate on a 10-year remeasurement cycle, with an interim report produced at the 5-year mid-point. The NFI is a sample-based inventory, with approximately 18,850 2×2-km photo plots across the country, distributed on a 20×20-km grid of sample points; these photo plots are the primary data source for the NFI. Capacity to provide annual monitoring information is required to keep policy and decision makers apprised of current forest conditions. In this study, we implemented a multistage monitoring framework and used a Moderate Resolution Imaging Spectroradiometer (MODIS) change product to successfully identify 78% of the changes in forest cover area that were captured with a Landsat change detection approach. Of the NFI photo plots that were identified by both the Landsat and MODIS approaches as having changes in forest cover, the proportion of change area within the plots was similar (R2=0.78). Approximately 70% of the Landsat-derived change events occupied less than 40% of a single MODIS pixel, and more than 90% of the change events of this size were successfully detected with the MODIS product. Finally, MODIS estimates of the proportion of forest cover change at the NFI photo plot level were comparable to change estimates for the ecoregions as a whole (R2=0.95). High-temporal, low-spatial resolution imagery such as MODIS, in combination with other remotely sensed data sources, can provide information on disturbance events within a national forest inventory remeasurement cycle, thereby satisfying the interim information needs of policy and decision makers as well as the requirements of national and international reporting commitments.

  5. Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report

    SciTech Connect

    L. J. Bond; S. R. Doctor; R. W. Gilbert; D. B. Jarrell; F. L. Greitzer; R. J. Meador

    2000-09-01

    OAK-B135 This OSTI ID belongs to an IWO and is being released out of the system. The Program Manager Rebecca Richardson has confirmed that all reports have been received. The objective of this project is to design and demonstrate the operation of the real-time intelligent self-diagnostic and prognostic system for next generation nuclear power plant systems. This new self-diagnostic technology is titled, ''On-Line Intelligent Self-Diagnostic Monitoring System'' (SDMS). This project provides a proof-of-principle technology demonstration for SDMS on a pilot plant scale service water system, where a distributed array of sensors is integrated with active components and passive structures typical of next generation nuclear power reactor and plant systems. This project employs state-of-the-art sensors, instrumentation, and computer processing to improve the monitoring and assessment of the power reactor system and to provide diagnostic and automated prognostics capabilities.

  6. [Practical information for therapeutic drug monitoring of the most common compounds].

    PubMed

    Saint-Marcoux, Franck; Libert, Frédéric

    2016-09-01

    This article reports the main information for the interpretation of blood concentrations of most common drugs measured in pharmacology-toxicology departments: acetaminophen, amikacin, carbamazepine, digoxin, gentamicin, lithium, methotrexate, phenobarbital, phenytoin and valproic acid. PMID:27203171

  7. Sending out an SOS...and more: next-generation textiles and EEG headsets transport vital biomed information.

    PubMed

    Mertz, Leslie

    2015-01-01

    It seems as if many of us are getting used to the idea of wearing sensors, whether they are counting the number of steps we take each day with an iPhone-connected pedometer or keeping track of heart rate while we are doing an exercise routine or out riding a bicycle. That's probably good preparation, because a new generation of wearable sensors and smart textiles are coming to the fore to provide extended biomedical monitoring of heart, brain, muscle, and other physiological activity.

  8. Sending out an SOS...and more: next-generation textiles and EEG headsets transport vital biomed information.

    PubMed

    Mertz, Leslie

    2015-01-01

    It seems as if many of us are getting used to the idea of wearing sensors, whether they are counting the number of steps we take each day with an iPhone-connected pedometer or keeping track of heart rate while we are doing an exercise routine or out riding a bicycle. That's probably good preparation, because a new generation of wearable sensors and smart textiles are coming to the fore to provide extended biomedical monitoring of heart, brain, muscle, and other physiological activity. PMID:25782110

  9. Generating superposition of up-to three photons for continuous variable quantum information processing.

    PubMed

    Yukawa, Mitsuyoshi; Miyata, Kazunori; Mizuta, Takahiro; Yonezawa, Hidehiro; Marek, Petr; Filip, Radim; Furusawa, Akira

    2013-03-11

    We develop an experimental scheme based on a continuous-wave (cw) laser for generating arbitrary superpositions of photon number states. In this experiment, we successfully generate superposition states of zero to three photons, namely advanced versions of superpositions of two and three coherent states. They are fully compatible with developed quantum teleportation and measurement-based quantum operations with cw lasers. Due to achieved high detection efficiency, we observe, without any loss correction, multiple areas of negativity of Wigner function, which confirm strongly nonclassical nature of the generated states. PMID:23482124

  10. The Radiation Safety Information Computational Center - A Resource for Training the Next Generation Engineer

    SciTech Connect

    Kirk, Bernadette Lugue

    2009-01-01

    RSICC came into existence in 1962 largely as a result of the report made by Alvin Weinbergand others to the Executive Office of the President of the United States on the 'information explosion' and the role of the technical community and government in its preservation and use. This report became known as the Weinberg Report. Its theme was 'Information is an integral part of science; without proper handling of information, science cannot function.' The report recommended the establishment of specialized information centers -'to digest and evaluate -to make condensations and reviews -thus saving the time of the individual research scientist and engineer.'

  11. [New index for soil moisture monitoring based on deltaT(s)-albedo spectral information].

    PubMed

    Yao, Yun-Jun; Qin, Qi-Ming; Zhao, Shao-Hua; Shen, Xin-Yi; Sui, Xin-Xin

    2011-06-01

    Monitoring soil moisture by remote sensing has been an important problem for both agricultural drought monitoring and water resources management. In the present paper, we acquire the land surface temperature difference (deltaT(s)) and broadband albedo using MODIS Terra reflectance and land surface temperature products to construct the deltaT(s)-albedo spectral feature space. According to the soil moisture variation in spectral feature space, we put forward a simple and practical temperature difference albedo drought index (TDADI) and validate it using ground-measured 0-10 cm averaged soil moisture of Ningxia plain The results show that the coefficient of determination (R2) of both them varies from 0.36 to 0.52, and TDADI has higher accuracy than temperature albedo drought index (TADI) for soil moisture retrieval. The good agreement of TDADI, Albedo/LST, LST/ NDVI and TVDI for analyzing the trends of soil moisture change supports the reliability of TDADI. However, TDADI has been designed only at Ningxia plain and still needs further validation in other regions. PMID:21847933

  12. Information-Seeking Behavior in Generation Y Students: Motivation, Critical Thinking, and Learning Theory

    ERIC Educational Resources Information Center

    Weiler, Angela

    2005-01-01

    Research in information-seeking behavior, motivation, critical thinking, and learning theory was explored and compared in a search for possible motivating factors behind students' dependence on television and the Internet for their information needs. The research indicates that only a very small percentage of the general population prefer to learn…

  13. Using Pop Culture to Teach Information Literacy: Methods to Engage a New Generation

    ERIC Educational Resources Information Center

    Behen, Linda D.

    2006-01-01

    Building on the information needs and the learning style preferences of today's high school students, the author builds a case for using pop culture (TV shows, fads, and current technology) to build integrated information skills lessons for students. Chapters include a rationale, a review of the current literature, and examples of units of study…

  14. Generating Knowledge and Avoiding Plagiarism: Smart Information Use by High School Students

    ERIC Educational Resources Information Center

    Williamson, Kirsty; McGregor, Joy

    2011-01-01

    The article reports phase 2 of a two-year study, dubbed the Smart Information Use project, the focus of which was appropriate seeking and use of information by students at various stages of their high school education, along with the avoidance of plagiarism. In four Australian high schools, teacher librarians and classroom teachers developed and…

  15. Information-generated Influence as a Function of Locus-of-Control Patterns in Children

    ERIC Educational Resources Information Center

    Wolk, Stephen; Eliot, John

    1974-01-01

    Investigated the degree to which an individual disregards information about himself and his environment, as a function of his locus of control patterns, and hence is less responsive to or influenced by a given segment of information. Subjects were 341 fourth- and fifth-grade children. (SDH)

  16. Developing a public information and engagement portal of urban waterways with real-time monitoring and modeling.

    PubMed

    Cochrane, T A; Wicke, D; O'Sullivan, A

    2011-01-01

    Waterways can contribute to the beauty and livelihood of urban areas, but maintaining their hydro-ecosystem health is challenging because they are often recipients of contaminated water from stormwater runoff and other discharges. Public awareness of local waterways' health and community impacts to these waterways is usually poor due to of lack of easily available information. To improve community awareness of water quality in urban waterways in New Zealand, a web portal was developed featuring a real-time waterways monitoring system, a public forum, historical data, interactive maps, contaminant modelling scenarios, mitigation recommendations, and a prototype contamination alert system. The monitoring system featured in the web portal is unique in the use of wireless mesh network technology, direct integration with online modelling, and a clear target of public engagement. The modelling aims to show the origin of contaminants within the local catchment and to help the community prioritize mitigation efforts to improve water quality in local waterways. The contamination alert system aims to keep managers and community members better informed and to provide a more timely response opportunity to avert any unplanned or accidental contamination of the waterways. Preliminary feedback has been positive and is being supported by local and regional authorities. The system was developed in a cost-effective manner providing a community focussed solution for quantifying and mitigating key contaminants in urban catchments and is applicable and transferable to other cities with similar stormwater challenges. PMID:21252427

  17. Hemispheric Asymmetries for Temporal Information Processing: Transient Detection versus Sustained Monitoring

    ERIC Educational Resources Information Center

    Okubo, Matia; Nicholls, Michael E. R.

    2008-01-01

    This study investigated functional differences in the processing of visual temporal information between the left and right hemispheres (LH and RH). Participants indicated whether or not a checkerboard pattern contained a temporal gap lasting between 10 and 40 ms. When the stimulus contained a temporal signal (i.e. a gap), responses were more…

  18. 38 CFR 1.515 - Disclosure of information to participate in state prescription drug monitoring programs.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... substance means any substance identified in 21 CFR part 1308 as a schedule II, III, IV, or V controlled... program, including a program approved by the Secretary of Health and Human Services under section 399O of... first-time request, and date of origin of the prescription. (3) Prescriber information. Examples...

  19. 38 CFR 1.515 - Disclosure of information to participate in state prescription drug monitoring programs.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... substance means any substance identified in 21 CFR part 1308 as a schedule II, III, IV, or V controlled... program, including a program approved by the Secretary of Health and Human Services under section 399O of... first-time request, and date of origin of the prescription. (3) Prescriber information. Examples...

  20. 77 FR 59664 - Agency Information Collection Activities: Extension Requested; Comments Requested, Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-28

    ... (COPS) will be submitting the following information collection request to the Office of Management and... who will be asked or required to respond, as well as a brief abstract: Primary: COPS Office hiring... that report using COPS funds to implement a criminal intelligence system will be required to...

  1. 30 CFR 250.252 - What environmental monitoring information must accompany the DPP or DOCD?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... accompany the DPP or DOCD? 250.252 Section 250.252 Mineral Resources MINERALS MANAGEMENT SERVICE, DEPARTMENT OF THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and Information Contents of Development and Production Plans (dpp) and Development Operations...

  2. 30 CFR 250.252 - What environmental monitoring information must accompany the DPP or DOCD?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... accompany the DPP or DOCD? 250.252 Section 250.252 Mineral Resources BUREAU OF OCEAN ENERGY MANAGEMENT, REGULATION, AND ENFORCEMENT, DEPARTMENT OF THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and Information Contents of Development and Production Plans (dpp)...

  3. 75 FR 13485 - Proposed Information Collection; Comment Request; Socioeconomic Research and Monitoring for the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-22

    ... research only area alternative. For business operations, costs and earnings will be obtained to assess the impact of regulatory alternatives on business profits. Socioeconomic/demographic information on owners... business operations, a team will go to the business establishment and work with the business owner/...

  4. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... the requirements of 12 CFR part 27. It may be inserted to complete the “Information for Government... Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □ White, not of Hispanic origin □ Other (specify)____ Sex □ Female □ Male Co-borrower I do not wish to...

  5. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... the requirements of 12 CFR part 27. It may be inserted to complete the “Information for Government... Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □ White, not of Hispanic origin □ Other (specify)____ Sex □ Female □ Male Co-borrower I do not wish to...

  6. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... the requirements of 12 CFR part 27. It may be inserted to complete the “Information for Government... Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □ White, not of Hispanic origin □ Other (specify)____ Sex □ Female □ Male Co-borrower I do not wish to...

  7. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... the requirements of 12 CFR part 27. It may be inserted to complete the “Information for Government... Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □ White, not of Hispanic origin □ Other (specify)____ Sex □ Female □ Male Co-borrower I do not wish to...

  8. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... the requirements of 12 CFR part 27. It may be inserted to complete the “Information for Government... Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □ White, not of Hispanic origin □ Other (specify)____ Sex □ Female □ Male Co-borrower I do not wish to...

  9. In vivo monitoring of hydroxyl radical generation caused by x-ray irradiation of rats using the spin trapping/EPR technique.

    PubMed

    Takeshita, Keizo; Fujii, Kaori; Anzai, Kazunori; Ozawa, Toshihiko

    2004-05-01

    Measurement of hydroxyl radical (*OH) in living animals irradiated with ionizing radiation should be required to clarify the mechanisms of radiation injury and the in vivo assessment of radiation protectors, because generation of *OH is believed to be one of the major triggers of radiation injury. In this study, *OH generation was monitored by spin trapping the secondary methyl radical formed by the reaction of *OH with dimethyl sulfoxide (DMSO). Rats were injected intraperitoneally with a DMSO solution of alpha-phenyl-N-tert-butylnitrone (PBN). X-irradiation of the rats remarkedly increased the six-line EPR signal in the bile. The strengthened signal was detectable above 40 Gy. Use of 13C-substituted DMSO revealed that the signal included the methyl radical adduct of PBN as a major component. The EPR signal of the PBN-methyl radical adduct was completely suppressed by preadministration of methyl gallate, a scavenger of *OH but not of methyl radical. Methyl gallate did not reduce the spin adducts to EPR-silent forms. These observations indicate that what we were measuring was *OH generated in vivo by x-irradiation. This is the first report of the in vivo monitoring of *OH generation at a radiation dose close to what people might receive in the case of radiological accident or radiation therapy.

  10. Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring

    PubMed Central

    Wu, Mingquan; Huang, Wenjiang; Niu, Zheng; Wang, Changyao

    2015-01-01

    The limitations of satellite data acquisition mean that there is a lack of satellite data with high spatial and temporal resolutions for environmental process monitoring. In this study, we address this problem by applying the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and the Spatial and Temporal Data Fusion Approach (STDFA) to combine Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide field of view camera (GF-1 WFV) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to generate daily high spatial resolution synthetic data for land surface process monitoring. Actual HJ CCD and GF-1 WFV data were used to evaluate the precision of the synthetic images using the correlation analysis method. Our method was tested and validated for two study areas in Xinjiang Province, China. The results show that both the ESTARFM and STDFA can be applied to combine HJ CCD and MODIS reflectance data, and GF-1 WFV and MODIS reflectance data, to generate synthetic HJ CCD data and synthetic GF-1 WFV data that closely match actual data with correlation coefficients (r) greater than 0.8989 and 0.8643, respectively. Synthetic red- and near infrared (NIR)-band data generated by ESTARFM are more suitable for the calculation of Normalized Different Vegetation Index (NDVI) than the data generated by STDFA. PMID:26308017

  11. Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring.

    PubMed

    Wu, Mingquan; Huang, Wenjiang; Niu, Zheng; Wang, Changyao

    2015-08-20

    The limitations of satellite data acquisition mean that there is a lack of satellite data with high spatial and temporal resolutions for environmental process monitoring. In this study, we address this problem by applying the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and the Spatial and Temporal Data Fusion Approach (STDFA) to combine Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide field of view camera (GF-1 WFV) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to generate daily high spatial resolution synthetic data for land surface process monitoring. Actual HJ CCD and GF-1 WFV data were used to evaluate the precision of the synthetic images using the correlation analysis method. Our method was tested and validated for two study areas in Xinjiang Province, China. The results show that both the ESTARFM and STDFA can be applied to combine HJ CCD and MODIS reflectance data, and GF-1 WFV and MODIS reflectance data, to generate synthetic HJ CCD data and synthetic GF-1 WFV data that closely match actual data with correlation coefficients (r) greater than 0.8989 and 0.8643, respectively. Synthetic red- and near infrared (NIR)-band data generated by ESTARFM are more suitable for the calculation of Normalized Different Vegetation Index (NDVI) than the data generated by STDFA.

  12. Electrical power systems (Dominican Republic). Generator sets, February 1991. Export trade information

    SciTech Connect

    Not Available

    1991-02-01

    The market for U.S. generators in the Dominican Republic from depressed 1991 levels and grow at a rate of 10% for the next three years. While the national power corporation has improved both supply and distribution of electricity, growth in manufacturing and tourism is expected to create more demand. Also, the dramatically reduced delivery of electricity by the power company in 1990-1991 caused such a strain on generators in place that much of the existing stock will need to be replaced. The U.S. with 54% of the total market dominates the large industrial market while Japan is most competitive with the small domestic use market.

  13. Surface mass variation monitoring from orbit information of GPS-tracked low-Earth orbiters

    NASA Astrophysics Data System (ADS)

    Baur, O.; Weigelt, M. L. B.; Zehentner, N.; Mayer-Gürr, T.; van Dam, T. M.

    2014-12-01

    In the last decade, temporal variations of the gravity field from GRACE inter-satellite observations have become one of the most ubiquitous and valuable sources of information for environmental studies. In order to bridge the likely gap between the present GRACE and the upcoming GRACE follow-on projects, we investigate the potential of gravity field information derived from orbit analysis for surface mass variation detection. The Swarm mission - launched on November 22, 2013 - is the most promising candidate to directly acquire large-scale mass variation information on the Earth's surface in the absence of GRACE. Although the magnetometry mission Swarm has not been designed for gravity field purposes, its three satellites have the appropriate orbit characteristics for such an endeavour. Hence, from an orbit analysis point of view the Swarm satellites are comparable to the CHAMP, GRACE and GOCE spacecraft. In a first study, we assess the stand-alone capability of the Swarm mission for mass variation detection in a real-case environment. For this purpose, we ''approximate'' the Swarm scenario by the GRACE+CHAMP constellation. In a second study, we incorporate tracking observations from a series of additional satellites (e.g., GOCE, MetOp, TanDEM-X, Swarm) and extend the length of the time series according to data availability. We will demonstrate to what extent these measures improve the inference of time-variable features from orbit information. For both studies, in the first step, kinematic orbits of the individual satellites are derived from GPS observations. From these orbits, we compute monthly combined time-variable gravity fields. Finally, we infer mass variation in selected areas from the gravity signal. These results are compared to the findings obtained from mass variation detection exploiting CSR-RL05 gravity fields (the latter serve as ''benchmark solutions'').

  14. Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy

    NASA Astrophysics Data System (ADS)

    Zunino, Luciano; Bariviera, Aurelio F.; Guercio, M. Belén; Martinez, Lisana B.; Rosso, Osvaldo A.

    2016-08-01

    In this paper the permutation min-entropy has been implemented to unveil the presence of temporal structures in the daily values of European corporate bond indices from April 2001 to August 2015. More precisely, the informational efficiency evolution of the prices of fifteen sectorial indices has been carefully studied by estimating this information-theory-derived symbolic tool over a sliding time window. Such a dynamical analysis makes possible to obtain relevant conclusions about the effect that the 2008 credit crisis has had on the different European corporate bond sectors. It is found that the informational efficiency of some sectors, namely banks, financial services, insurance, and basic resources, has been strongly reduced due to the financial crisis whereas another set of sectors, integrated by chemicals, automobiles, media, energy, construction, industrial goods & services, technology, and telecommunications has only suffered a transitory loss of efficiency. Last but not least, the food & beverage, healthcare, and utilities sectors show a behavior close to a random walk practically along all the period of analysis, confirming a remarkable immunity against the 2008 financial crisis.

  15. Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire

    PubMed Central

    Kelly, Laura; Jenkinson, Crispin; Ziebland, Sue

    2013-01-01

    Objective The internet is a valuable resource for accessing health information and support. We are developing an instrument to assess the effects of websites with experiential and factual health information. This study aimed to inform an item pool for the proposed questionnaire. Methods Items were informed through a review of relevant literature and secondary qualitative analysis of 99 narrative interviews relating to patient and carer experiences of health. Statements relating to identified themes were re-cast as questionnaire items and shown for review to an expert panel. Cognitive debrief interviews (n = 21) were used to assess items for face and content validity. Results Eighty-two generic items were identified following secondary qualitative analysis and expert review. Cognitive interviewing confirmed the questionnaire instructions, 62 items and the response options were acceptable to patients and carers. Conclusion Using a clear conceptual basis to inform item generation, 62 items have been identified as suitable to undergo further psychometric testing. Practice implications The final questionnaire will initially be used in a randomized controlled trial examining the effects of online patient's experiences. This will inform recommendations on the best way to present patients’ experiences within health information websites. PMID:23598293

  16. 77 FR 16222 - Agency Information Collection Activities; Proposed Collection; Comment Request; Generator...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-20

    ... Standards Applicable to Laboratories Owned by Eligible Academic Entities AGENCY: Environmental Protection... standards for laboratories owned by eligible academic entities. This ICR is scheduled to expire on July 31... this action are private as well as State, Local, or Tribal Governments. Title: Generator...

  17. Arkose: A Prototype Mechanism and Tool for Collaborative Information Generation and Distillation

    ERIC Educational Resources Information Center

    Nam, Kevin Kyung

    2010-01-01

    The goals of this thesis have been to gain a better understanding of collaborative knowledge sharing and distilling and to build a prototype collaborative system that supports flexible knowledge generation and distillation. To reach these goals, I have conducted two user studies and built two systems. The first system, Arkose 1.0, is a…

  18. Investigation of a Novel NDE Method for Monitoring Thermomechanical Damage and Microstructure Evolution in Ferritic-Martensitic Steels for Generation IV Nuclear Energy Systems

    SciTech Connect

    Nagy, Peter

    2013-09-30

    The main goal of the proposed project is the development of validated nondestructive evaluation (NDE) techniques for in situ monitoring of ferritic-martensitic steels like Grade 91 9Cr-1Mo, which are candidate materials for Generation IV nuclear energy structural components operating at temperatures up to ~650{degree}C and for steam-generator tubing for sodium-cooled fast reactors. Full assessment of thermomechanical damage requires a clear separation between thermally activated microstructural evolution and creep damage caused by simultaneous mechanical stress. Creep damage can be classified as "negligible" creep without significant plastic strain and "ordinary" creep of the primary, secondary, and tertiary kind that is accompanied by significant plastic deformation and/or cavity nucleation and growth. Under negligible creep conditions of interest in this project, minimal or no plastic strain occurs, and the accumulation of creep damage does not significantly reduce the fatigue life of a structural component so that low-temperature design rules, such as the ASME Section III, Subsection NB, can be applied with confidence. The proposed research project will utilize a multifaceted approach in which the feasibility of electrical conductivity and thermo-electric monitoring methods is researched and coupled with detailed post-thermal/creep exposure characterization of microstructural changes and damage processes using state-of-the-art electron microscopy techniques, with the aim of establishing the most effective nondestructive materials evaluation technique for particular degradation modes in high-temperature alloys that are candidates for use in the Next Generation Nuclear Plant (NGNP) as well as providing the necessary mechanism-based underpinnings for relating the two. Only techniques suitable for practical application in situ will be considered. As the project evolves and results accumulate, we will also study the use of this technique for monitoring other GEN IV

  19. Using retrospective health data from the Gombe chimpanzee study to inform future monitoring efforts.

    PubMed

    Lonsdorf, E V; Travis, D; Pusey, A E; Goodall, J

    2006-09-01

    Disease outbreaks, either in isolation or in concert with other risk factors, can pose serious threats to the long-term persistence of mammal populations, and these risks become elevated as population size decreases and/or population isolation increases. Many chimpanzee study sites are increasingly isolated by loss of habitat due to human encroachment, and managers of parks that contain chimpanzees perceive that disease outbreaks have been and continue to be significant causes of mortality for chimpanzees. Major epidemics at Gombe National Park include suspected polio in 1966; respiratory diseases in 1968, 1987, 1996, 2000, and 2002; and sarcoptic mange in 1997. These outbreaks have led park managers and researchers working in Gombe to conclude that disease poses a substantial risk to the long-term survival of Gombe's chimpanzee population. We surveyed behavioral data records spanning 44 years for health-related data and found a combination of standardized and nonstandardized data for the entire period. Here we present the types of data found during the survey, discuss the usefulness of these data in the context of risk assessment, and describe how our current monitoring effort at Gombe was designed based on our findings.

  20. Development of an Experimental African Drought Monitoring and Seasonal Forecasting System: A First Step towards a Global Drought Information System

    NASA Astrophysics Data System (ADS)

    Wood, E. F.; Chaney, N.; Sheffield, J.; Yuan, X.

    2012-12-01

    forecasts are bias corrected, downscaled and used as inputs to the VIC LSM as well as forecasts based on ESP and CPC official seasonal outlook. For Africa, data from a combination of remote sensing (TMPA-based precipitation, land cover characteristics) and GFS analysis fields (temperature and wind) are used to monitor drought using our soil moisture drought index as well as 1, 3 and and 6-month SPI. River discharge is also estimated at over 900 locations. Seasonal forecasts have been developed using CFSv2 climate forecasts following the approaches used over CONUS. We will discuss the performance of the system to evaluate the depiction of drought over various scales, from regional to the African continent, and over a number of years to capture multiple drought events. Furthermore, the hindcasts from the seasonal drought forecast system are analyzed to assess the ability of seasonal climate models to detect drought on-set and its recovery. Finally, we will discuss whether our ADM provides a pathway to a Global Drought Information System, a goal of the WCRP Drought Task Force.

  1. Uncertainty in Predicted Neighborhood-Scale Green Stormwater Infrastructure Performance Informed by field monitoring of Hydrologic Abstractions

    NASA Astrophysics Data System (ADS)

    Smalls-Mantey, L.; Jeffers, S.; Montalto, F. A.

    2013-12-01

    Human alterations to the environment provide infrastructure for housing and transportation but have drastically changed local hydrology. Excess stormwater runoff from impervious surfaces generates erosion, overburdens sewer infrastructure, and can pollute receiving bodies. Increased attention to green stormwater management controls is based on the premise that some of these issues can be mitigated by capturing or slowing the flow of stormwater. However, our ability to predict actual green infrastructure facility performance using physical or statistical methods needs additional validation, and efforts to incorporate green infrastructure controls into hydrologic models are still in their infancy stages. We use more than three years of field monitoring data to derive facility specific probability density functions characterizing the hydrologic abstractions provided by a stormwater treatment wetland, streetside bioretention facility, and a green roof. The monitoring results are normalized by impervious area treated, and incorporated into a neighborhood-scale agent model allowing probabilistic comparisons of the stormwater capture outcomes associated with alternative urban greening scenarios. Specifically, we compare the uncertainty introduced into the model by facility performance (as represented by the variability in the abstraction), to that introduced by both precipitation variability, and spatial patterns of emergence of different types of green infrastructure. The modeling results are used to update a discussion about the potential effectiveness of urban green infrastructure implementation plans.

  2. Research and Development of Information and Communication Technology-based Home Blood Pressure Monitoring from Morning to Nocturnal Hypertension.

    PubMed

    Kario, Kazuomi; Tomitani, Naoko; Matsumoto, Yuri; Hamasaki, Haruna; Okawara, Yukie; Kondo, Maiko; Nozue, Ryoko; Yamagata, Hiromi; Okura, Ayako; Hoshide, Satoshi

    2016-01-01

    . These data are now collected using an information and communication technology (ICT)-based monitoring system. The BP variability includes different time-phase variability from the shortest beat-by-beat, positional, diurnal, day-by-day, visit-to-visit, seasonal, and the longest yearly changes. The synergistic resonance of each type of BP variability would produce great dynamic BP surges, which trigger cardiovascular events. Thus, in the future, the management of HTN based on the simultaneous assessment of the resonance of all of the BP variability phenotypes using a wearable "surge" BP monitoring device with an ICT-based data analysis system will contribute to the ultimate individualized medication for cardiovascular disease. PMID:27372530

  3. Architecture of next-generation information management systems for digital radiology enterprises

    NASA Astrophysics Data System (ADS)

    Wong, Stephen T. C.; Wang, Huili; Shen, Weimin; Schmidt, Joachim; Chen, George; Dolan, Tom

    2000-05-01

    Few information systems today offer a clear and flexible means to define and manage the automated part of radiology processes. None of them provide a coherent and scalable architecture that can easily cope with heterogeneity and inevitable local adaptation of applications. Most importantly, they often lack a model that can integrate clinical and administrative information to aid better decisions in managing resources, optimizing operations, and improving productivity. Digital radiology enterprises require cost-effective solutions to deliver information to the right person in the right place and at the right time. We propose a new architecture of image information management systems for digital radiology enterprises. Such a system is based on the emerging technologies in workflow management, distributed object computing, and Java and Web techniques, as well as Philips' domain knowledge in radiology operations. Our design adapts the approach of '4+1' architectural view. In this new architecture, PACS and RIS will become one while the user interaction can be automated by customized workflow process. Clinical service applications are implemented as active components. They can be reasonably substituted by applications of local adaptations and can be multiplied for fault tolerance and load balancing. Furthermore, it will provide powerful query and statistical functions for managing resources and improving productivity in real time. This work will lead to a new direction of image information management in the next millennium. We will illustrate the innovative design with implemented examples of a working prototype.

  4. Mission Operations and Information Management Area Spacecraft Monitoring and Control Working Group

    NASA Technical Reports Server (NTRS)

    Lokerson, Donald C. (Editor)

    2005-01-01

    Working group goals for this year are: Goal 1. Due to many review comments the green books will be updated and available for re-review by CCSDS. Submission of green books to CCSDS for approval. Goal 2.Initial set of 4 new drafts of the red books as following: SM&C protocol: update with received comments. SM&C common services: update with received comments and expand the service specification. SM&C core services: update with received comments and expand the service the information model. SM&C time services: (target objective): produce initial draft following template of core services.

  5. Systems and methods that generate height map models for efficient three dimensional reconstruction from depth information

    DOEpatents

    Frahm, Jan-Michael; Pollefeys, Marc Andre Leon; Gallup, David Robert

    2015-12-08

    Methods of generating a three dimensional representation of an object in a reference plane from a depth map including distances from a reference point to pixels in an image of the object taken from a reference point. Weights are assigned to respective voxels in a three dimensional grid along rays extending from the reference point through the pixels in the image based on the distances in the depth map from the reference point to the respective pixels, and a height map including an array of height values in the reference plane is formed based on the assigned weights. An n-layer height map may be constructed by generating a probabilistic occupancy grid for the voxels and forming an n-dimensional height map comprising an array of layer height values in the reference plane based on the probabilistic occupancy grid.

  6. Performance Evaluation and Labeling Comprehension of a New Blood Glucose Monitoring System with Integrated Information Management

    PubMed Central

    List, Susan M; Starks, Nykole; Baum, John; Greene, Carmine; Pardo, Scott; Parkes, Joan L; Schachner, Holly C; Cuddihy, Robert

    2011-01-01

    Background This study evaluated performance and product labeling of CONTOUR® USB, a new blood glucose monitoring system (BGMS) with integrated diabetes management software and a universal serial bus (USB) port, in the hands of untrained lay users and health care professionals (HCPs). Method Subjects and HCPs tested subject's finger stick capillary blood in parallel using CONTOUR USB meters; deep finger stick blood was tested on a Yellow Springs Instruments (YSI) glucose analyzer for reference. Duplicate results by both subjects and HCPs were obtained to assess system precision. System accuracy was assessed according to International Organization for Standardization (ISO) 15197:2003 guidelines [within ±15 mg/dl of mean YSI results (samples <75 mg/dl) and ±20% (samples ≥75 mg/dl)]. Clinical accuracy was determined by Parkes error grid analysis. Subject labeling comprehension was assessed by HCP ratings of subject proficiency. Key system features and ease-of-use were evaluated by subject questionnaires. Results All subjects who completed the study (N = 74) successfully performed blood glucose measurements, connected the meter to a laptop computer, and used key features of the system. The system was accurate; 98.6% (146/148) of subject results and 96.6% (143/148) of HCP results exceeded ISO 15197:2003 criteria. All subject and HCP results were clinically accurate (97.3%; zone A) or associated with benign errors (2.7%; zone B). The majority of subjects rated features of the BGMS as “very good” or “excellent.” Conclusions CONTOUR USB exceeded ISO 15197:2003 system performance criteria in the hands of untrained lay users. Subjects understood the product labeling, found the system easy to use, and successfully performed blood glucose testing. PMID:22027308

  7. WORD STATISTICS IN THE GENERATION OF SEMANTIC TOOLS FOR INFORMATION SYSTEMS.

    ERIC Educational Resources Information Center

    STONE, DON C.

    ONE OF THE PROBLEMS IN INFORMATION STORAGE AND RETRIEVAL SYSTEMS OF TECHNICAL DOCUMENTS IS THE INTERPRETATION OF WORDS USED TO INDEX DOCUMENTS. SEMANTIC TOOLS, DEFINED AS CHANNELS FOR THE COMMUNICATION OF WORD MEANINGS BETWEEN TECHNICAL EXPERTS, DOCUMENT INDEXERS, AND SEARCHERS, PROVIDE ONE METHOD OF DEALING WITH THE PROBLEM OF MULTIPLE…

  8. From "Scuba Diving" to "Jet Skiing"? Information Behavior, Political Science, and the Google Generation

    ERIC Educational Resources Information Center

    Thornton, Stephen

    2010-01-01

    It is often suggested that the swift arrival of a world shaped by information superabundance--symbolized by the astonishing growth in popularity of the digital search engine Google--has changed the manner in which many learn. A particular concern of some is the perception that younger people have turned away from books and long articles and have…

  9. Developing a Large Lexical Database for Information Retrieval, Parsing, and Text Generation Systems.

    ERIC Educational Resources Information Center

    Conlon, Sumali Pin-Ngern; And Others

    1993-01-01

    Important characteristics of lexical databases and their applications in information retrieval and natural language processing are explained. An ongoing project using various machine-readable sources to build a lexical database is described, and detailed designs of individual entries with examples are included. (Contains 66 references.) (EAM)

  10. Organisational Learning as an Emerging Process: The Generative Role of Digital Tools in Informal Learning Practices

    ERIC Educational Resources Information Center

    Za, Stefano; Spagnoletti, Paolo; North-Samardzic, Andrea

    2014-01-01

    Increasing attention is paid to organisational learning, with the success of contemporary organisations strongly contingent on their ability to learn and grow. Importantly, informal learning is argued to be even more significant than formal learning initiatives. Given the widespread use of digital technologies in the workplace, what requires…

  11. [Use of the DIAPHANE information system for the monitoring of patients treated by home hemodialysis].

    PubMed

    Masselot, J P; Adhemar, J P; Laederich, J; Degoulet, P; Kleinknecht, D

    1979-12-01

    Data of the DIAPHANE Dialyse-Informatique system of the Society of Nephrology have been collected by patients just on a home dialysis program after training in the hemodialysis Unit of the Hospital of Montreuil. 35 patients have been using the computerized records since January 1978. A critical analysis of the first year has been made and results obtained have been compared with those obtained during the same period in patients dialysed in the Hospital. Results show that home dialysis patients are well able to fill in the computerized medical record concerning the dialysis session follow-up, and that the quality of the recorded information is similar to that recorded in hospital by nurses. Nevertheless few simplifications of home dialysis data sheet are considered. Computerized treatment of data collected on home dialysis program should allow useful comparisons required to improve the quality of care and expansion of this dialysis method.

  12. Application of digital image processing techniques and information systems to water quality monitoring of Lake Tahoe

    NASA Technical Reports Server (NTRS)

    Smith, A. Y.; Blackwell, R. J.

    1981-01-01

    The Tahoe basin occupies over 500 square miles of territory located in a graben straddling the boundary between California and Nevada. Lake Tahoe contains 126 million acre-feet of water. Since the 1950's the basin has experienced an ever increasing demand for land development at the expense of the natural watershed. Discharge of sediment to the lake has greatly increased owing to accelerated human interference, and alterations to the natural drainage patterns are evident in some areas. In connection with an investigation of the utility of a comprehensive system that takes into account the causes as well as the effects of lake eutrophication, it has been attempted to construct an integrated and workable data base, comprised of currently available data sources for the Lake Tahoe region. Attention is given to the image based information system (IBIS), the construction of the Lake Tahoe basin data base, and the application of the IBIS concept to the Lake Tahoe basin.

  13. LMD Method and Multi-Class RWSVM of Fault Diagnosis for Rotating Machinery Using Condition Monitoring Information

    PubMed Central

    Liu, Zhiwen; Chen, Xuefeng; He, Zhengjia; Shen, Zhongjie

    2013-01-01

    Timely and accurate condition monitoring and fault diagnosis of rotating machinery are very important to maintain a high degree of availability, reliability and operational safety. This paper presents a novel intelligent method based on local mean decomposition (LMD) and multi-class reproducing wavelet support vector machines (RWSVM), which is applied to diagnose rotating machinery faults. First, the sensor-based vibration signals measured from the rotating machinery are preprocessed by the LMD method and product functions (PFs) are produced. Second, statistic features are extracted to acquire more fault characteristic information from the sensitive PF. Finally, these features are fed into a multi-class RWSVM to identify the rotating machinery health conditions. The experimental results validate the effectiveness of the proposed RWSVM method in identifying rotating machinery fault patterns accurately and effectively and its superiority over that based on the general SVM. PMID:23881133

  14. Assessing the Utility of 3-km Land Information System Soil Moisture Data for Drought Monitoring and Hydrologic Applications

    NASA Technical Reports Server (NTRS)

    White, Kristopher D.; Case, Jonathan L.

    2014-01-01

    The NASA Short term Prediction Research and Transition (SPoRT) Center in Huntsville, AL has been running a real-time configuration of the Noah land surface model within the NASA Land Information System (LIS) since June 2010. The SPoRT LIS version is run as a stand-alone land surface model over a Southeast Continental U.S. domain with 3-km grid spacing. The LIS contains output variables including soil moisture and temperature at various depths, skin temperature, surface heat fluxes, storm surface runoff, and green vegetation fraction (GVF). The GVF represents another real-time SPoRT product, which is derived from the Moderate Resolution Imaging Spectroradiometer instrument aboard NASA's Aqua and Terra satellites. These data have demonstrated operational utility for drought monitoring and hydrologic applications at the National Weather Service (NWS) office in Huntsville, AL since early 2011. The most relevant data for these applications have proven to be the moisture availability (%) in the 0-10 cm and 0-200 cm layers, and the volumetric soil moisture (%) in the 0-10 cm layer. In an effort to better understand their applicability among locations with different terrain, soil and vegetation types, SPoRT is conducting the first formal assessment of these data at NWS offices in Houston, TX, Huntsville, AL and Raleigh, NC during summer 2014. The goal of this assessment is to evaluate the LIS output in the context of assessing flood risk and determining drought designations for the U.S. Drought Monitor. Forecasters will provide formal feedback via a survey question web portal, in addition to the NASA SPoRT blog. In this presentation, the SPoRT LIS and its applications at NWS offices will be presented, along with information about the summer assessment, including training module development and preliminary results.

  15. Monitoring and Assessment of Saltwater Intrusion using Geographic Information Systems (GIS), Remote Sensing and Geophysical measurements of Guimaras Island, Philippines

    NASA Astrophysics Data System (ADS)

    Hernandez, B. C. B.

    2015-12-01

    Degrading groundwater quality due to saltwater intrusion is one of the key challenges affecting many island aquifers. These islands hold limited capacity for groundwater storage and highly dependent on recharge due to precipitation. But its ease of use, natural storage and accessibility make it more vulnerable to exploitation and more susceptible to encroachment from its surrounding oceanic waters. Estimating the extent of saltwater intrusion and the state of groundwater resources are important in predicting and managing water supply options for the community. In Guimaras island, central Philippines, increasing settlements, agriculture and tourism are causing stresses on its groundwater resource. Indications of saltwater intrusion have already been found at various coastal areas in the island. A Geographic Information Systems (GIS)-based approach using the GALDIT index was carried out. This includes six parameters assessing the seawater intrusion vulnerability of each hydrogeologic setting: Groundwater occurrence, Aquifer hydraulic conductivity, Groundwater Level above sea, Distance to shore, Impact of existing intrusion and Thickness of Aquifer. To further determine the extent of intrusion, Landsat images of various thematic layers were stacked and processed for unsupervised classification and electrical resistivity tomography using a 28-electrode system with array lengths of 150 and 300 meters was conducted. The GIS index showed where the vulnerable areas are located, while the geophysical measurements and images revealed extent of seawater encroachment along the monitoring wells. These results are further confirmed by the measurements collected from the monitoring wells. This study presents baseline information on the state of groundwater resources and increase understanding of saltwater intrusion dynamics in island ecosystems by providing a guideline for better water resource management in the Philippines.

  16. Development of real time monitor system displaying seismic waveform data observed at seafloor seismic network, DONET, for disaster management information

    NASA Astrophysics Data System (ADS)

    Horikawa, H.; Takaesu, M.; Sueki, K.; Takahashi, N.; Sonoda, A.; Miura, S.; Tsuboi, S.

    2014-12-01

    Mega-thrust earthquakes are anticipated to occur in the Nankai Trough in southwest Japan. In the source areas, we have deployed seafloor seismic network, DONET (Dense Ocean-floor Network System for Earthquake and Tsunamis), in 2010 in order to monitor seismicity, crustal deformations, and tsunamis. DONET system consists of totally 20 stations, which is composed of six kinds of sensors, including strong-motion seismometers and quartz pressure gauges. Those stations are densely distributed with an average spatial interval of 15-20 km and cover near the trench axis to coastal areas. Observed data are transferred to a land station through a fiber-optical cable and then to JAMSTEC (Japan Agency for Marine-Earth Science and Technology) data management center through a private network in real time. After 2011 off the Pacific coast of Tohoku Earthquake, each local government close to Nankai Trough try to plan disaster prevention scheme. JAMSTEC will disseminate DONET data combined with research accomplishment so that they will be widely recognized as important earthquake information. In order to open DONET data observed for research to local government, we have developed a web application system, REIS (Real-time Earthquake Information System). REIS is providing seismic waveform data to some local governments close to Nankai Trough as a pilot study. As soon as operation of DONET is ready, REIS will start full-scale operation. REIS can display seismic waveform data of DONET in real-time, users can select strong motion and pressure data, and configure the options of trace view arrangement, time scale, and amplitude. In addition to real-time monitoring, REIS can display past seismic waveform data and show earthquake epicenters on the map. In this presentation, we briefly introduce DONET system and then show our web application system. We also discuss our future plans for further developments of REIS.

  17. Application of Semantic Tagging to Generate Superimposed Information on a Digital Encyclopedia

    NASA Astrophysics Data System (ADS)

    Garrido, Piedad; Tramullas, Jesus; Martinez, Francisco J.

    We can find in the literature several works regarding the automatic or semi-automatic processing of textual documents with historic information using free software technologies. However, more research work is needed to integrate the analysis of the context and provide coverage to the peculiarities of the Spanish language from a semantic point of view. This research work proposes a novel knowledge-based strategy based on combining subject-centric computing, a topic-oriented approach, and superimposed information. It subsequent combination with artificial intelligence techniques led to an automatic analysis after implementing a made-to-measure interpreted algorithm which, in turn, produced a good number of associations and events with 90% reliability.

  18. RPFdb: a database for genome wide information of translated mRNA generated from ribosome profiling

    PubMed Central

    Xie, Shang-Qian; Nie, Peng; Wang, Yan; Wang, Hongwei; Li, Hongyu; Yang, Zhilong; Liu, Yizhi; Ren, Jian; Xie, Zhi

    2016-01-01

    Translational control is crucial in the regulation of gene expression and deregulation of translation is associated with a wide range of cancers and human diseases. Ribosome profiling is a technique that provides genome wide information of mRNA in translation based on deep sequencing of ribosome protected mRNA fragments (RPF). RPFdb is a comprehensive resource for hosting, analyzing and visualizing RPF data, available at www.rpfdb.org or http://sysbio.sysu.edu.cn/rpfdb/index.html. The current version of database contains 777 samples from 82 studies in 8 species, processed and reanalyzed by a unified pipeline. There are two ways to query the database: by keywords of studies or by genes. The outputs are presented in three levels. (i) Study level: including meta information of studies and reprocessed data for gene expression of translated mRNAs; (ii) Sample level: including global perspective of translated mRNA and a list of the most translated mRNA of each sample from a study; (iii) Gene level: including normalized sequence counts of translated mRNA on different genomic location of a gene from multiple samples and studies. To explore rich information provided by RPF, RPFdb also provides a genome browser to query and visualize context-specific translated mRNA. Overall our database provides a simple way to search, analyze, compare, visualize and download RPF data sets. PMID:26433228

  19. In situ and on-line monitoring of CO in an industrial glass furnace by mid-infrared difference-frequency generation laser spectroscopy.

    PubMed

    Khorsandi, Alireza; Willer, Ulrike; Wondraczek, Lothar; Schade, Wolfgang

    2004-12-10

    A compact mid-infrared (MIR) laser spectrometer based on difference-frequency generation (DFG) is applied as a portable and sensitive gas sensor for industrial process control and pollutant monitoring. We demonstrate the performance of such a MIR DFG gas sensor by recording the absorption spectra of the carbon monoxide (CO) P(28) absorption line in the atmosphere of a gas-fired glass melting furnace. For a gas temperature of approximately 1100 degrees C, the CO concentration in the recuperator channel is measured to be 400 parts per million.

  20. In situ multipurpose time-resolved spectrometer for monitoring nanoparticle generation in a high-pressure fluid

    SciTech Connect

    Wei, Shaoyu; Saitow, Ken-ichi

    2012-07-15

    We developed a multipurpose time-resolved spectrometer for studying the dynamics of nanoparticles generated by pulsed-laser ablation (PLA) in a high-pressure fluid. The apparatus consists of a high-pressure optical cell and three spectrometers for in situ measurements. The optical cell was designed for experiments at temperatures up to 400 K and pressures up to 30 MPa with fluctuations within {+-}0.1% h{sup -1}. The three spectrometers were used for the following in situ measurements at high pressures: (i) transient absorption spectrum measurements from 350 to 850 nm to investigate the dynamics of nanoparticle generation from nanoseconds to milliseconds after laser irradiation, (ii) absorption spectrum measurements from 220 to 900 nm to observe the time evolution of nanoparticles from seconds to hours after laser ablation, and (iii) dynamic light scattering measurements to track nanoparticles with sizes from 10 nm to 10 {mu}m in the time range from seconds to hours after laser ablation. By combining these three spectrometers, we demonstrate in situ measurements of gold nanoparticles generated by PLA in supercritical fluids. This is the first report of in situ time-resolved measurements of the dynamics of nanoparticles generated in a supercritical fluid.

  1. The digital anatomist information system and its use in the generation and delivery of Web-based anatomy atlases.

    PubMed

    Brinkley, J F; Bradley, S W; Sundsten, J W; Rosse, C

    1997-12-01

    Advances in network and imaging technology, coupled with the availability of 3-D datasets such as the Visible Human, provide a unique opportunity for developing information systems in anatomy that can deliver relevant knowledge directly to the clinician, researcher or educator. A software framework is described for developing such a system within a distributed architecture that includes spatial and symbolic anatomy information resources, Web and custom servers, and authoring and end-user client programs. The authoring tools have been used to create 3-D atlases of the brain, knee and thorax that are used both locally and throughout the world. For the one and a half year period from June 1995-January 1997, the on-line atlases were accessed by over 33,000 sites from 94 countries, with an average of over 4000 "hits" per day, and 25,000 hits per day during peak exam periods. The atlases have been linked to by over 500 sites, and have received at least six unsolicited awards by outside rating institutions. The flexibility of the software framework has allowed the information system to evolve with advances in technology and representation methods. Possible new features include knowledge-based image retrieval and tutoring, dynamic generation of 3-D scenes, and eventually, real-time virtual reality navigation through the body. Such features, when coupled with other on-line biomedical information resources, should lead to interesting new ways for managing and accessing structural information in medicine. PMID:9466836

  2. A Field Programmable Gate Array-Based Reconfigurable Smart-Sensor Network for Wireless Monitoring of New Generation Computer Numerically Controlled Machines

    PubMed Central

    Moreno-Tapia, Sandra Veronica; Vera-Salas, Luis Alberto; Osornio-Rios, Roque Alfredo; Dominguez-Gonzalez, Aurelio; Stiharu, Ion; de Jesus Romero-Troncoso, Rene

    2010-01-01

    Computer numerically controlled (CNC) machines have evolved to adapt to increasing technological and industrial requirements. To cover these needs, new generation machines have to perform monitoring strategies by incorporating multiple sensors. Since in most of applications the online Processing of the variables is essential, the use of smart sensors is necessary. The contribution of this work is the development of a wireless network platform of reconfigurable smart sensors for CNC machine applications complying with the measurement requirements of new generation CNC machines. Four different smart sensors are put under test in the network and their corresponding signal processing techniques are implemented in a Field Programmable Gate Array (FPGA)-based sensor node. PMID:22163602

  3. Practice informs the next generation of behavioral health and criminal justice interventions.

    PubMed

    Wolff, Nancy; Frueh, B Christopher; Huening, Jessica; Shi, Jing; Epperson, Matthew W; Morgan, Robert; Fisher, William

    2013-01-01

    Specialized interventions, such as police and jail diversion, mental health courts, specialized probation, forensic assertive community treatment, designed to engage justice-involved persons with serious mental illnesses, have expanded over the past two decades. Some of these "first generation" interventions have demonstrated efficacy and several have earned recognition as evidence-based practices. Yet, overall, they have not appreciably reduced the prevalence of persons with serious mental illnesses involved in the criminal justice system. To understand how to make the next generation of interventions more effective, a survey of a national sample of community-based programs serving these clients was conducted. Surveys were completed on-line by direct service staff affiliated with 85 programs and collected data on the characteristics and needs of the client base; characteristics and challenges associated with difficult-to-engage clients; service needs and obstacles; and recommendations for improving program effectiveness. A sample of the survey participants (19 programs from 18 states) attended a day-long workshop to discuss the survey findings and ways to improve treatment adherence and client services. Respondents reported that their clients have a constellation of problems with different origins, etiologies, and symptoms, often crossing over the boundaries of mental illness, addictions, and antisocial pathologies. According to the practitioners working with justice-involved clients with mental illnesses, responding effectively requires knowledge of many different problems, expertise to respond to them, and an understanding of how these problems interact when they co-occur. The poly-problems of these clients suggest the need for an integrated and comprehensive approach, which is challenged by the fragmented and diverse ideologies of the behavioral health, criminal justice, and social service systems.

  4. [Clarity of flight information in the cockpit of the new aircraft generation].

    PubMed

    Stern, C; Schwartz, R; Groenhoff, S; Draeger, J; Hüttig, G; Bernhard, H

    1994-08-01

    Fundamental changes of cockpit design in recent years, especially the transition from analogue to digital flight information systems and the use of colour-coded displays, lead to new demands on the visual system of the pilot. Twenty experienced pilots each participated in four 15-min sessions with a simulator program in the new Airbus 340 Simulator of the Technical University of Berlin. The pilots were confronted with various flight situations and events. The simulation program was carried out with visual acuity of 1.0 or better, with acuity reduced to 0.5 and with red and green filters. The time between the display of information and the pilot's reaction was determined. The probands were classified into two groups according to their age (< or = 45 years, > or = 45 years). In both age groups a significant difference was found only with green filters. There was no difference with reduced visual acuity or with red filters, and no differences were seen between the two age groups.

  5. Meeting the healthy people 2020 goals: using the Health Information National Trends Survey to monitor progress on health communication objectives.

    PubMed

    Hesse, Bradford W; Gaysynsky, Anna; Ottenbacher, Allison; Moser, Richard P; Blake, Kelly D; Chou, Wen-Ying Sylvia; Vieux, Sana; Beckjord, Ellen

    2014-12-01

    The Healthy People initiative outlines a comprehensive set of goals aimed at improving the nation's health and reducing health disparities. Health communication has been included as an explicit goal since the launch of Healthy People 2010. The Health Information National Trends Survey (HINTS) was established as a means of exploring how the changing information environment was affecting the public's health, and is therefore an ideal tool for monitoring key health communication objectives included in the Healthy People agenda. In this article, the authors apply an integrative data analysis strategy to more than 10 years of HINTS data to demonstrate how public health surveillance can be used to evaluate broad national health goals, like those set forth under the Healthy People initiative. The authors analyzed just one item from the HINTS survey regarding Internet access in order to illustrate what public health surveillance tools, like HINTS, can reveal about important indicators that are of interest to all those who work to improve the health of the public. Results show that reported Internet penetration has exceeded the Healthy People 2020 target of 75.4%. HINTS data also allowed modeling of the effects of various sociodemographic factors, which revealed persistent differences on the basis of age and education, with the oldest age groups and those with less than a college education falling short of the Healthy People 2020 target as of 2013. Furthermore, although differences by race/ethnicity were observed, the analyses suggest that race in itself accounts for very little of the variance in Internet access.

  6. Exploratory Movement Generates Higher-Order Information That Is Sufficient for Accurate Perception of Scaled Egocentric Distance

    PubMed Central

    Mantel, Bruno; Stoffregen, Thomas A.; Campbell, Alain; Bardy, Benoît G.

    2015-01-01

    Body movement influences the structure of multiple forms of ambient energy, including optics and gravito-inertial force. Some researchers have argued that egocentric distance is derived from inferential integration of visual and non-visual stimulation. We suggest that accurate information about egocentric distance exists in perceptual stimulation as higher-order patterns that extend across optics and inertia. We formalize a pattern that specifies the egocentric distance of a stationary object across higher-order relations between optics and inertia. This higher-order parameter is created by self-generated movement of the perceiver in inertial space relative to the illuminated environment. For this reason, we placed minimal restrictions on the exploratory movements of our participants. We asked whether humans can detect and use the information available in this higher-order pattern. Participants judged whether a virtual object was within reach. We manipulated relations between body movement and the ambient structure of optics and inertia. Judgments were precise and accurate when the higher-order optical-inertial parameter was available. When only optic flow was available, judgments were poor. Our results reveal that participants perceived egocentric distance from the higher-order, optical-inertial consequences of their own exploratory activity. Analysis of participants’ movement trajectories revealed that self-selected movements were complex, and tended to optimize availability of the optical-inertial pattern that specifies egocentric distance. We argue that accurate information about egocentric distance exists in higher-order patterns of ambient energy, that self-generated movement can generate these higher-order patterns, and that these patterns can be detected and used to support perception of egocentric distance that is precise and accurate. PMID:25856410

  7. A Multimodel Global Drought Information System (GDIS) for Near Real-Time Monitoring of Surface Water Conditions (Invited)

    NASA Astrophysics Data System (ADS)

    Nijssen, B.

    2013-12-01

    While the absolute magnitude of economic losses associated with weather and climate disasters such as droughts is greatest in the developed world, the relative impact is much larger in the developing world, where agriculture typically constitutes a much larger percentage of the labor force and food insecurity is a major concern. Nonetheless, our ability to monitor and predict the development and occurrence of droughts at a global scale in near real-time is limited and long-term records of soil moisture are essentially non-existent globally The problem is particularly critical given that many of the most damaging droughts occur in parts of the world that are most deficient in terms of in situ precipitation observations. In recent years, a number of near real-time drought monitoring systems have been developed with regional or global extent. While direct observations of key variables such as moisture storage are missing, the evolution of land surface models that are globally applicable provides a means of reconstructing them. The implementation of a multi-model drought monitoring system is described, which provides near real-time estimates of surface moisture storage for the global land areas between 50S and 50N with a time lag of about one day. Near real-time forcings are derived from satellite-based precipitation estimates and modeled air temperatures. The system is distinguished from other operational systems in that it uses multiple land surface models to simulate surface moisture storage, which are then combined to derive a multi-model estimate of drought. Previous work has shown that while land surface models agree in broad context, particularly in terms of soil moisture percentiles, important differences remain, which motivates a multi-model ensemble approach. The system is an extension of similar systems developed by at the University of Washington for the Pacific Northwest and for the United States, but global application of the protocols used in the U

  8. In situ time-series monitoring of collagen fibers produced by standing-cultured osteoblasts using a second-harmonic-generation microscope.

    PubMed

    Hase, Eiji; Matsubara, Oki; Minamikawa, Takeo; Sato, Katsuya; Yasui, Takeshi

    2016-04-20

    In bone tissue engineering and regeneration, there is a considerable need for an unstained method of monitoring collagen fibers produced by osteoblasts. This is because collagen fibers play an important role as a bone matrix and continuous monitoring of their temporal dynamics is important in clarifying the organization process toward forming bone tissue. In the work described here, using a second-harmonic-generation (SHG) microscope, we performed in situ time-series monitoring of collagen fibers produced by cultured osteoblasts without the need for staining. Use of the 19 fs near-infrared pulsed light enables us to visualize the temporal dynamics in a thin layer of collagen fibers produced by a single layer of osteoblasts in high-contrast SHG images. While the collagen fibers were produced and stored inside the osteoblasts at an early stage of culturing, the network structure of collagen fibers was formed and locally condensed at a late stage. Furthermore, we extracted a quantitative parameter of collagen maturity degree in the cultured sample by use of image analysis based on a two-dimensional Fourier transform of the SHG image. The proposed method will be useful for in situ quality and quantity control of collagen fibers in bone tissue engineering and regeneration.

  9. Infrared thermal wave nondestructive testing for rotor blades in wind turbine generators non-destructive evaluation and damage monitoring

    NASA Astrophysics Data System (ADS)

    Zhao, Shi bin; Zhang, Cun-lin; Wu, Nai-ming; Duan, Yu-xia; Li, Hao

    2009-07-01

    The rotor blades are key components in wind turbine generators. A visual inspection of the laminated shells for delaminations, air pockets, missing/disoriented fabric etc. is in most cases also not possible due to the manufacturing process, so Non-destructive testing and evaluation (NDT & E) techniques for assessing the integrity of rotor blades structure are essential to both reduce manufacturing costs and out of service time of wind turbine generators due to maintenance. Nowadays, Infrared Thermal Wave Nondestructive Testing (Pulsed thermography) is commonly used for assessing composites. This research work utilizes Infrared Thermal Wave Nondestructive Testing system (EchoTherm, Thermal Wave Imaging, Inc.) to inspect a specimen with embedded defects (i.e. foreign matter and air inclusions) in different depth which is a part of rotor blades in wind turbine generators, we have successfully identified defects including foreign matter and air inclusions, and discovered a defective workmanship. The system software allows us to simultaneously view and analyze the results for an entire transition.

  10. Understanding natural herpes simplex virus immunity to inform next-generation vaccine design

    PubMed Central

    Sandgren, Kerrie J; Bertram, Kirstie; Cunningham, Anthony L

    2016-01-01

    Incremental advances in our knowledge of how natural immune control of herpes simplex virus (HSV) develops have yielded insight as to why previous vaccine attempts have only been partially successful, however, our understanding of these pathways, particularly in humans, is still incomplete. Further elucidation of the innate immune events that are responsible for stimulating these effector responses is required to accurately inform vaccine design. An enhanced understanding of the mechanism of action of novel adjuvants will also facilitate the rational choice of adjuvant to optimise such responses. Here we review the reasons for the hitherto partial HSV vaccine success and align these with our current knowledge of how natural HSV immunity develops. In particular, we focus on the innate immune response and the role of dendritic cells in inducing protective T-cell responses and how these pathways might be recapitulated in a vaccine setting. PMID:27525067

  11. [Role of heat flow generated by an abdominal cavity in monitoring of acute surgical pathology of abdominal organs].

    PubMed

    Bodiaka, V Iu

    2013-01-01

    Despite of significant development of modern surgery results of treatment of acute diffused peritonitis and acute intestinal obstruction are still unsatisfactory. Successful treatment of these conditions depends considerably on timely and adequate diagnosing as it gives a choice of optimal treatment tactics. Measuring of a human body heat flow in areas of organs affected by pathology in cases of acute diffused peritonitis and acute intestinal obstruction provides a possibility to improve the principles of early differential diagnosing, to form new approaches to treatment tactics and monitoring of general health status of a patient during early postoperative treatment. 47 patient suffering from acute diffused peritonitis and 42 patients suffering from acute intestinal obstruction have been examined; the patients were divided into groups based on abdominal cavity exudates character, intestinal obstruction type and intra-abdominal hypertension grade. Measurement of abdominal cavity heat flow was performed by a contact method with use of thermoelectric medical thermometer. Intra-abdominal hypertension was measured by generally used transvesical method. It has been established that abdominal cavity heat flow correlates with character of abdominal cavity exudates; this is also confirmed by reliable difference between serous peritonitis and fibrinopurulent peritonitis indices. Indices in case of acute intestinal obstruction are lower than ones in case of acute diffused peritonitis as there are no inflammatory changes of peritoneum. Development of intra-abdominal hypertension of grades 3-4 directly influences the heat flow extent; this is explained by accelerated and aggravated pathological changes of inner organs cased by the main disease. Thus, abdominal cavity heat flow fully reflects degree of purulent and inflammatory processes of abdominal cavity organs and can be used for additional diagnosing and clinical course monitoring.

  12. An information theoretic approach for generating an aircraft avoidance Markov Decision Process

    NASA Astrophysics Data System (ADS)

    Weinert, Andrew J.

    Developing a collision avoidance system that can meet safety standards required of commercial aviation is challenging. A dynamic programming approach to collision avoidance has been developed to optimize and generate logics that are robust to the complex dynamics of the national airspace. The current approach represents the aircraft avoidance problem as Markov Decision Processes and independently optimizes a horizontal and vertical maneuver avoidance logics. This is a result of the current memory requirements for each logic, simply combining the logics will result in a significantly larger representation. The "curse of dimensionality" makes it computationally inefficient and unfeasible to optimize this larger representation. However, existing and future collision avoidance systems have mostly defined the decision process by hand. In response, a simulation-based framework was built to better understand how each potential state quantifies the aircraft avoidance problem with regards to safety and operational components. The framework leverages recent advances in signals processing and database, while enabling the highest fidelity analysis of Monte Carlo aircraft encounter simulations to date. This framework enabled the calculation of how well each state of the decision process quantifies the collision risk and the associated memory requirements. Using this analysis, a collision avoidance logic that leverages both horizontal and vertical actions was built and optimized using this simulation based approach.

  13. PileLine: a toolbox to handle genome position information in next-generation sequencing studies

    PubMed Central

    2011-01-01

    Background Genomic position (GP) files currently used in next-generation sequencing (NGS) studies are always difficult to manipulate due to their huge size and the lack of appropriate tools to properly manage them. The structure of these flat files is based on representing one line per position that has been covered by at least one aligned read, imposing significant restrictions from a computational performance perspective. Results PileLine implements a flexible command-line toolkit providing specific support to the management, filtering, comparison and annotation of GP files produced by NGS experiments. PileLine tools are coded in Java and run on both UNIX (Linux, Mac OS) and Windows platforms. The set of tools comprising PileLine are designed to be memory efficient by performing fast seek on-disk operations over sorted GP files. Conclusions Our novel toolbox has been extensively tested taking into consideration performance issues. It is publicly available at http://sourceforge.net/projects/pilelinetools under the GNU LGPL license. Full documentation including common use cases and guided analysis workflows is available at http://sing.ei.uvigo.es/pileline. PMID:21261974

  14. Relating to monitoring ion sources

    DOEpatents

    Orr, Christopher Henry; Luff, Craig Janson; Dockray, Thomas; Macarthur, Duncan Whittemore; Bounds, John Alan

    2002-01-01

    The apparatus and method provide techniques for monitoring the position on alpha contamination in or on items or locations. The technique is particularly applicable to pipes, conduits and other locations to which access is difficult. The technique uses indirect monitoring of alpha emissions by detecting ions generated by the alpha emissions. The medium containing the ions is moved in a controlled manner frog in proximity with the item or location to the detecting unit and the signals achieved over time are used to generate alpha source position information.

  15. Primary healthcare information system--the cornerstone for the next generation healthcare sector in Republic of Croatia.

    PubMed

    Koncar, Miroslav; Gvozdanović, Darko

    2006-01-01

    At no time in the history of medicine has the growth in knowledge and technologies been so profound [Crossing the Quality Chasm: A New Health System for the 21st Century, Institute of Medicine (IOM), 2001. ISBN 0-309-07280-8]. However, healthcare delivery systems today are not able to keep up with the pace. Studies have shown that it takes an average of about 17 years for new knowledge generated by randomized trials to be incorporated into practice [B. Andrew, S. Boren, Managing clinical knowledge for health care improvement, in: Yearbook of Medical Informatics, National Library of Medicine, Bethesda, MD, 2000, pp. 65-70]. It is safe to say that today healthcare systems "have the data, but not information". In order to provide highest quality patient care, Republic of Croatia has started the process of introducing enterprise information systems to support business processes in the healthcare domain. Two major requirements are in focus: to provide efficient healthcare related data management in support of decision-making processes; and to support continuous process of healthcare resources spending optimization. The first initiated project refers to Primary Healthcare Information System (PHCIS) that provides domain of primary care with state-of-the-art enterprise information system that connects General Practitioners, Pediatricians and Gynecologists offices with the Croatian Institute for Health Insurance and Public Health Institute. In the years to come, PHCIS will serve as the main integration platform for connecting all other stakeholders and levels of healthcare (e.g. hospitals, pharmacies, laboratories) into single enterprise healthcare network. This article gives an overview of PHCIS, explains challenges that were faced in designing and implementing the system, and elaborates PHCIS role as the cornerstone for the next generation healthcare provisioning in Republic of Croatia.

  16. Primary healthcare information system--the cornerstone for the next generation healthcare sector in Republic of Croatia.

    PubMed

    Koncar, Miroslav; Gvozdanović, Darko

    2006-01-01

    At no time in the history of medicine has the growth in knowledge and technologies been so profound [Crossing the Quality Chasm: A New Health System for the 21st Century, Institute of Medicine (IOM), 2001. ISBN 0-309-07280-8]. However, healthcare delivery systems today are not able to keep up with the pace. Studies have shown that it takes an average of about 17 years for new knowledge generated by randomized trials to be incorporated into practice [B. Andrew, S. Boren, Managing clinical knowledge for health care improvement, in: Yearbook of Medical Informatics, National Library of Medicine, Bethesda, MD, 2000, pp. 65-70]. It is safe to say that today healthcare systems "have the data, but not information". In order to provide highest quality patient care, Republic of Croatia has started the process of introducing enterprise information systems to support business processes in the healthcare domain. Two major requirements are in focus: to provide efficient healthcare related data management in support of decision-making processes; and to support continuous process of healthcare resources spending optimization. The first initiated project refers to Primary Healthcare Information System (PHCIS) that provides domain of primary care with state-of-the-art enterprise information system that connects General Practitioners, Pediatricians and Gynecologists offices with the Croatian Institute for Health Insurance and Public Health Institute. In the years to come, PHCIS will serve as the main integration platform for connecting all other stakeholders and levels of healthcare (e.g. hospitals, pharmacies, laboratories) into single enterprise healthcare network. This article gives an overview of PHCIS, explains challenges that were faced in designing and implementing the system, and elaborates PHCIS role as the cornerstone for the next generation healthcare provisioning in Republic of Croatia. PMID:16213189

  17. Reflecting on Earlier Experiences with Unsolicited Findings: Points to Consider for Next-Generation Sequencing and Informed Consent in Diagnostics

    PubMed Central

    Rigter, Tessel; Henneman, Lidewij; Kristoffersson, Ulf; Hall, Alison; Yntema, Helger G; Borry, Pascal; Tönnies, Holger; Waisfisz, Quinten; Elting, Mariet W; Dondorp, Wybo J; Cornel, Martina C

    2013-01-01

    High-throughput nucleotide sequencing (often referred to as next-generation sequencing; NGS) is increasingly being chosen as a diagnostic tool for cases of expected but unresolved genetic origin. When exploring a higher number of genetic variants, there is a higher chance of detecting unsolicited findings. The consequential increased need for decisions on disclosure of these unsolicited findings poses a challenge for the informed consent procedure. This article discusses the ethical and practical dilemmas encountered when contemplating informed consent for NGS in diagnostics from a multidisciplinary point of view. By exploring recent similar experiences with unsolicited findings in other settings, an attempt is made to describe what can be learned so far for implementing NGS in standard genetic diagnostics. The article concludes with a set of points to consider in order to guide decision-making on the extent of return of results in relation to the mode of informed consent. We hereby aim to provide a sound basis for developing guidelines for optimizing the informed consent procedure. PMID:23784691

  18. Reflecting on earlier experiences with unsolicited findings: points to consider for next-generation sequencing and informed consent in diagnostics.

    PubMed

    Rigter, Tessel; Henneman, Lidewij; Kristoffersson, Ulf; Hall, Alison; Yntema, Helger G; Borry, Pascal; Tönnies, Holger; Waisfisz, Quinten; Elting, Mariet W; Dondorp, Wybo J; Cornel, Martina C

    2013-10-01

    High-throughput nucleotide sequencing (often referred to as next-generation sequencing; NGS) is increasingly being chosen as a diagnostic tool for cases of expected but unresolved genetic origin. When exploring a higher number of genetic variants, there is a higher chance of detecting unsolicited findings. The consequential increased need for decisions on disclosure of these unsolicited findings poses a challenge for the informed consent procedure. This article discusses the ethical and practical dilemmas encountered when contemplating informed consent for NGS in diagnostics from a multidisciplinary point of view. By exploring recent similar experiences with unsolicited findings in other settings, an attempt is made to describe what can be learned so far for implementing NGS in standard genetic diagnostics. The article concludes with a set of points to consider in order to guide decision-making on the extent of return of results in relation to the mode of informed consent. We hereby aim to provide a sound basis for developing guidelines for optimizing the informed consent procedure.

  19. Monitoring Low Molecular Weight Heparins at Therapeutic Levels: Dose-Responses of, and Correlations and Differences between aPTT, Anti-Factor Xa and Thrombin Generation Assays

    PubMed Central

    Thomas, Owain; Lybeck, Emanuel; Strandberg, Karin; Tynngård, Nahreen; Schött, Ulf

    2015-01-01

    Background Low molecular weight heparins (LMWH’s) are used to prevent and treat thrombosis. Tests for monitoring LMWH’s include anti-factor Xa (anti-FXa), activated partial thromboplastin time (aPTT) and thrombin generation. Anti-FXa is the current gold standard despite LMWH’s varying affinities for FXa and thrombin. Aim To examine the effects of two different LMWH’s on the results of 4 different aPTT-tests, anti-FXa activity and thrombin generation and to assess the tests’ concordance. Method Enoxaparin and tinzaparin were added ex-vivo in concentrations of 0.0, 0.5, 1.0 and 1.5 anti-FXa international units (IU)/mL, to blood from 10 volunteers. aPTT was measured using two whole blood methods (Free oscillation rheometry (FOR) and Hemochron Jr (HCJ)) and an optical plasma method using two different reagents (ActinFSL and PTT-Automat). Anti-FXa activity was quantified using a chromogenic assay. Thrombin generation (Endogenous Thrombin Potential, ETP) was measured on a Ceveron Alpha instrument using the TGA RB and more tissue-factor rich TGA RC reagents. Results Methods’ mean aPTT at 1.0 IU/mL LMWH varied between 54s (SD 11) and 69s (SD 14) for enoxaparin and between 101s (SD 21) and 140s (SD 28) for tinzaparin. ActinFSL gave significantly shorter aPTT results. aPTT and anti-FXa generally correlated well. ETP as measured with the TGA RC reagent but not the TGA RB reagent showed an inverse exponential relationship to the concentration of LMWH. The HCJ-aPTT results had the weakest correlation to anti-FXa and thrombin generation (Rs0.62–0.87), whereas the other aPTT methods had similar correlation coefficients (Rs0.80–0.92). Conclusions aPTT displays a linear dose-respone to LMWH. There is variation between aPTT assays. Tinzaparin increases aPTT and decreases thrombin generation more than enoxaparin at any given level of anti-FXa activity, casting doubt on anti-FXa’s present gold standard status. Thrombin generation with tissue factor-rich activator is

  20. Highly sensitive monitoring of chest wall dynamics and acoustics provides diverse valuable information for evaluating ventilation and diagnosing pneumothorax.

    PubMed

    Pesin, Jimy; Faingersh, Anna; Waisman, Dan; Landesberg, Amir

    2014-06-15

    Current practice of monitoring lung ventilation in neonatal intensive care units, utilizing endotracheal tube pressure and flow, end-tidal CO2, arterial O2 saturation from pulse oximetry, and hemodynamic indexes, fails to account for asymmetric pathologies and to allow for early detection of deteriorating ventilation. This study investigated the utility of bilateral measurements of chest wall dynamics and sounds, in providing early detection of changes in the mechanics and distribution of lung ventilation. Nine healthy New Zealand rabbits were ventilated at a constant pressure, while miniature accelerometers were attached to each side of the chest. Slowly progressing pneumothorax was induced by injecting 1 ml/min air into the pleural space on either side of the chest. The end of the experiment (tPTX) was defined when arterial O2 saturation from pulse oximetry dropped <90% or when vigorous spontaneous breathing began, since it represents the time of clinical detection using common methods. Consistent and significant changes were observed in 15 of the chest dynamics parameters. The most meaningful temporal changes were noted for features extracted from subsonic dynamics (<10 Hz), e.g., tidal amplitude, energy, and autoregressive poles. Features from the high-frequency band (10-200 Hz), e.g., energy and entropy, exhibited smaller but significant changes. At 70% tPTX, identification of asymmetric ventilation was attained for all animals. Side identification of the pneumothorax was achieved at 50% tPTX, within a 95% confidence interval. Diagnosis was, on average, 34.1 ± 18.8 min before tPTX. In conclusion, bilateral monitoring of the chest dynamics and acoustics provide novel information that is sensitive to asymmetric changes in ventilation, enabling early detection and localization of pneumothorax. PMID:24790013