Using process groups to implement failure detection in asynchronous environments
NASA Technical Reports Server (NTRS)
Ricciardi, Aleta M.; Birman, Kenneth P.
1991-01-01
Agreement on the membership of a group of processes in a distributed system is a basic problem that arises in a wide range of applications. Such groups occur when a set of processes cooperate to perform some task, share memory, monitor one another, subdivide a computation, and so forth. The group membership problems is discussed as it relates to failure detection in asynchronous, distributed systems. A rigorous, formal specification for group membership is presented under this interpretation. A solution is then presented for this problem.
Implementation. Improving caries detection, assessment, diagnosis and monitoring.
Pitts, N B
2009-01-01
This chapter deals with improving the detection, assessment, diagnosis and monitoring of caries to ensure optimal personalized caries management. This can be achieved by delivering what we have (synthesized evidence and international consensus) better and more consistently, as well as driving research and innovation in the areas where we need them. There is a need to better understand the interrelated pieces of the jigsaw that makes up evidence-based dentistry, i.e. the linkages between (a) research and synthesis, (b) dissemination of research results and (c) the implementation of research findings which should ensure that research findings change practice at the clinician-patient level. The current situation is outlined; it is at the implementation step where preventive caries control seems to have failed in some countries but not others. Opportunities for implementation include: capitalizing on the World Health Organization's global policy for improvement of oral health, which sets out an action plan for health promotion and integrated disease prevention; utilizing the developments around the International Caries Detection and Assessment System wardrobe of options and e-learning; building on initiatives from the International Dental Federation and the American Dental Association and linking these to patients' preferences, the wider moves to wellbeing and health maintenance. Challenges for implementation include the slow pace of evolution around dental remuneration systems and some groups of dentists failing to embrace clinical prevention. In the future, implementation of current and developing evidence should be accompanied by research into getting research findings into routine practice, with impacts on the behaviour of patients, professionals and policy makers. Copyright 2009 S. Karger AG, Basel
Group discussion improves lie detection
Klein, Nadav; Epley, Nicholas
2015-01-01
Groups of individuals can sometimes make more accurate judgments than the average individual could make alone. We tested whether this group advantage extends to lie detection, an exceptionally challenging judgment with accuracy rates rarely exceeding chance. In four experiments, we find that groups are consistently more accurate than individuals in distinguishing truths from lies, an effect that comes primarily from an increased ability to correctly identify when a person is lying. These experiments demonstrate that the group advantage in lie detection comes through the process of group discussion, and is not a product of aggregating individual opinions (a “wisdom-of-crowds” effect) or of altering response biases (such as reducing the “truth bias”). Interventions to improve lie detection typically focus on improving individual judgment, a costly and generally ineffective endeavor. Our findings suggest a cheap and simple synergistic approach of enabling group discussion before rendering a judgment. PMID:26015581
Thürmer, J Lukas; Wieber, Frank; Gollwitzer, Peter M
2017-01-01
There are two key motivators to perform well in a group: making a contribution that (a) is crucial for the group (indispensability) and that (b) the other group members recognize (identifiability). We argue that indispensability promotes setting collective ("We") goals whereas identifiability induces individual ("I") goals. Although both goals may enhance performance, they should align with different strategies. Whereas pursuing collective goals should involve more cooperation, pursuing individual goals should involve less cooperation. Two experiments support this reasoning and show that planning out collective goals with collective implementation intentions (cIIs or "We-plans") relies on cooperation but planning out individual goals with individual implementation intentions (IIs or "I-plans") does not. In Experiment 1, three-member groups first formed a collective or an individual goal and then performed a first round of a physical persistence task. Groups then either formed a respective implementation intention (cII or II) or a control plan and then performed a second round of the task. Although groups with cIIs and IIs performed better on a physical persistence task than respective control groups, only cII groups interacted more cooperatively during task performance. To confirm the causal role of these interaction processes, Experiment 2 used the same persistence task and manipulated whether groups could communicate: When communication was hindered, groups with cIIs but not groups with IIs performed worse. Communication thus qualifies as a process making cIIs effective. The present research offers a psychology of action account to small group performance.
Group visits for chronic illness management: implementation challenges and recommendations.
Jones, Katherine R; Kaewluang, Napatsawan; Lekhak, Nirmala
2014-01-01
The group visit approach to improve chronic illness self-management appears promising in terms of selected outcomes, but little information is available about best ways to organize and implement group visits. This literature review of 84 articles identified group visit implementation challenges, including lack of a group visit billing code, inadequate administrative support and resources, difficult participant recruitment and retention, and logistical issues such as space and scheduling. Recommendations for future implementation initiatives were also abstracted from the literature. Patients and providers can benefit from well-planned and well-conducted group visits. These benefits include greater patient and provider satisfaction, reduced overall utilization, improved clinical outcomes, and greater provider efficiency and productivity.
ROS-based ground stereo vision detection: implementation and experiments.
Hu, Tianjiang; Zhao, Boxin; Tang, Dengqing; Zhang, Daibing; Kong, Weiwei; Shen, Lincheng
This article concentrates on open-source implementation on flying object detection in cluttered scenes. It is of significance for ground stereo-aided autonomous landing of unmanned aerial vehicles. The ground stereo vision guidance system is presented with details on system architecture and workflow. The Chan-Vese detection algorithm is further considered and implemented in the robot operating systems (ROS) environment. A data-driven interactive scheme is developed to collect datasets for parameter tuning and performance evaluating. The flying vehicle outdoor experiments capture the stereo sequential images dataset and record the simultaneous data from pan-and-tilt unit, onboard sensors and differential GPS. Experimental results by using the collected dataset validate the effectiveness of the published ROS-based detection algorithm.
Detecting Deception within Small Groups: A Literature Review
Vernham, Zarah; Granhag, Pär-Anders; Mac Giolla, Erik
2016-01-01
Investigators often have multiple suspects to interview in order to determine whether they are guilty or innocent of a crime. Nevertheless, co-offending has been significantly neglected within the deception detection literature. The current review is the first of its kind to discuss co-offending and the importance of examining the detection of deception within groups. Groups of suspects can be interviewed separately (individual interviewing) or simultaneously (collective interviewing) and these differing interviewing styles are assessed throughout the review. The review emphasizes the differences between lone individuals and groups. It focuses on the theoretical implications of group deceit and the reasons why groups need to be understood in terms of investigative interviewing and deception detection if all types of crime-related incidents are to be recognized and dealt with appropriately. Group strategies, consistency within- and between-statements, joint memory, and group dynamics are referred to throughout the review and the importance of developing interview protocols specifically for groups is discussed. The review concludes by identifying the gaps in the literature and suggesting ideas for future research, highlighting that more research is required if we are to obtain a true understanding of the deception occurring within groups and how best to detect it. PMID:27445957
Implementation of infants risk detection sensing system using IoT
NASA Astrophysics Data System (ADS)
Yang, Youseok; Lee, Taeo; Lee, Yechan; Choi, Jaehyeon; Park, Eunju; Lim, Hankyu
2017-06-01
Infants are vulnerable to surrounding environment and they receive large influence from even a small change. As their body composition is not complete yet, infants receive huge impact from small pressure. Small change can cause disease or even death of infants. This paper designed and implemented a risk-detection system for infants. In addition to the fundamental function of safety management system, the risk-detection system implemented in this paper in corporate child-caring function by using a variety of sensors.
Wen, Shameng; Meng, Qingkun; Feng, Chao; Tang, Chaojing
2017-01-01
Formal techniques have been devoted to analyzing whether network protocol specifications violate security policies; however, these methods cannot detect vulnerabilities in the implementations of the network protocols themselves. Symbolic execution can be used to analyze the paths of the network protocol implementations, but for stateful network protocols, it is difficult to reach the deep states of the protocol. This paper proposes a novel model-guided approach to detect vulnerabilities in network protocol implementations. Our method first abstracts a finite state machine (FSM) model, then utilizes the model to guide the symbolic execution. This approach achieves high coverage of both the code and the protocol states. The proposed method is implemented and applied to test numerous real-world network protocol implementations. The experimental results indicate that the proposed method is more effective than traditional fuzzing methods such as SPIKE at detecting vulnerabilities in the deep states of network protocol implementations.
Flattening the organization: implementing self-directed work groups.
Brandon, G M
1996-01-01
In response to tremendous growth of managed care and threats to financial stability and job security, the Greater Baltimore Medical Center (GBMC) restructured itself into independent business units. The radiology department at GBMC resolved to reduce cost per unit-of-service, improve service, determine optimal staffing levels and reduce the number of layers of organization. It was decided to achieve those goals by implementing self-directed work groups. Staff buy-in was critical to success of the project. To begin, the staff was educated intensively about current trends in healthcare, managed care and potential changes in the job market. The radiology department was allowed to reduce the size of its staff through attrition and worked hard to focus staff concern on the impact each individual could have on the bottom line and the resultant effect on job security. Self-directed work groups were designed on a matrix that used small "service teams" in combinations to form larger "work groups." Actual work and daily activities occur at the service team level; information exchange and major decisions occue at the work group level. Seventeen months after beginning the project and 10 months after implementation, the organization has flattened, staff members have adjusted well to new roles, there have been no lay-offs, and the matrix system of small and large groups have proved particularly valuable.
Accounting for imperfect detection of groups and individuals when estimating abundance.
Clement, Matthew J; Converse, Sarah J; Royle, J Andrew
2017-09-01
If animals are independently detected during surveys, many methods exist for estimating animal abundance despite detection probabilities <1. Common estimators include double-observer models, distance sampling models and combined double-observer and distance sampling models (known as mark-recapture-distance-sampling models; MRDS). When animals reside in groups, however, the assumption of independent detection is violated. In this case, the standard approach is to account for imperfect detection of groups, while assuming that individuals within groups are detected perfectly. However, this assumption is often unsupported. We introduce an abundance estimator for grouped animals when detection of groups is imperfect and group size may be under-counted, but not over-counted. The estimator combines an MRDS model with an N-mixture model to account for imperfect detection of individuals. The new MRDS-Nmix model requires the same data as an MRDS model (independent detection histories, an estimate of distance to transect, and an estimate of group size), plus a second estimate of group size provided by the second observer. We extend the model to situations in which detection of individuals within groups declines with distance. We simulated 12 data sets and used Bayesian methods to compare the performance of the new MRDS-Nmix model to an MRDS model. Abundance estimates generated by the MRDS-Nmix model exhibited minimal bias and nominal coverage levels. In contrast, MRDS abundance estimates were biased low and exhibited poor coverage. Many species of conservation interest reside in groups and could benefit from an estimator that better accounts for imperfect detection. Furthermore, the ability to relax the assumption of perfect detection of individuals within detected groups may allow surveyors to re-allocate resources toward detection of new groups instead of extensive surveys of known groups. We believe the proposed estimator is feasible because the only additional field data
Accounting for imperfect detection of groups and individuals when estimating abundance
Clement, Matthew J.; Converse, Sarah J.; Royle, J. Andrew
2017-01-01
If animals are independently detected during surveys, many methods exist for estimating animal abundance despite detection probabilities <1. Common estimators include double-observer models, distance sampling models and combined double-observer and distance sampling models (known as mark-recapture-distance-sampling models; MRDS). When animals reside in groups, however, the assumption of independent detection is violated. In this case, the standard approach is to account for imperfect detection of groups, while assuming that individuals within groups are detected perfectly. However, this assumption is often unsupported. We introduce an abundance estimator for grouped animals when detection of groups is imperfect and group size may be under-counted, but not over-counted. The estimator combines an MRDS model with an N-mixture model to account for imperfect detection of individuals. The new MRDS-Nmix model requires the same data as an MRDS model (independent detection histories, an estimate of distance to transect, and an estimate of group size), plus a second estimate of group size provided by the second observer. We extend the model to situations in which detection of individuals within groups declines with distance. We simulated 12 data sets and used Bayesian methods to compare the performance of the new MRDS-Nmix model to an MRDS model. Abundance estimates generated by the MRDS-Nmix model exhibited minimal bias and nominal coverage levels. In contrast, MRDS abundance estimates were biased low and exhibited poor coverage. Many species of conservation interest reside in groups and could benefit from an estimator that better accounts for imperfect detection. Furthermore, the ability to relax the assumption of perfect detection of individuals within detected groups may allow surveyors to re-allocate resources toward detection of new groups instead of extensive surveys of known groups. We believe the proposed estimator is feasible because the only additional field data
The group discussion effect: integrative processes and suggestions for implementation.
Meleady, Rose; Hopthrow, Tim; Crisp, Richard J
2013-02-01
One of the most consistent findings in experimental social dilemmas research is the positive effect group discussion has on cooperative behavior. At a time when cooperation and consensus is critical to tackle global problems, ranging from debt to deforestation, understanding the dynamics of group discussion is a pressing need. Unfortunately, research investigating the underlying processes and implementation of the effect has been inconclusive. The authors present a critical review of existing explanations and integrate these perspectives into a single process model of group discussion, providing a more complete theoretical picture of how interrelated factors combine to facilitate discussion-induced cooperation. On the basis of this theoretical analysis, they consider complimentary approaches to the indirect and feasible implementation of group discussion. They argue that such strategies may overcome the barriers to direct discussion observed across a range of groups and organizations.
Implementing Small-Group Instruction: Insights from Successful Practitioners.
ERIC Educational Resources Information Center
Cooper, James L.; MacGregor, Jean; Smith, Karl A.; Robinson, Pamela
2000-01-01
College faculty who have successfully implemented small-group instruction address common concerns such as: reduced content coverage, reduced amount of learning, need for prerequisite learning, importance of solitary learning, colleagues' concerns, student resistance, logistics, evaluation, use of teaching assistants, and time requirements. (DB)
Ferguson, John; Wheeler, William; Fu, YiPing; Prokunina-Olsson, Ludmila; Zhao, Hongyu; Sampson, Joshua
2013-01-01
With recent advances in sequencing, genotyping arrays, and imputation, GWAS now aim to identify associations with rare and uncommon genetic variants. Here, we describe and evaluate a class of statistics, generalized score statistics (GSS), that can test for an association between a group of genetic variants and a phenotype. GSS are a simple weighted sum of single-variant statistics and their cross-products. We show that the majority of statistics currently used to detect associations with rare variants are equivalent to choosing a specific set of weights within this framework. We then evaluate the power of various weighting schemes as a function of variant characteristics, such as MAF, the proportion associated with the phenotype, and the direction of effect. Ultimately, we find that two classical tests are robust and powerful, but details are provided as to when other GSS may perform favorably. The software package CRaVe is available at our website (http://dceg.cancer.gov/bb/tools/crave). PMID:23092956
Implementation of a real-time intersection accident detection system (Phase 1).
DOT National Transportation Integrated Search
2004-10-01
The focus of this research is the feasibility study for the implementation of a real-time accident : detection system at intersections. After reviewing accident detection algorithms investigated in the prior : phase of the research, we explored schem...
Designing, Implementing, and Evaluating a Group Therapy for Underserved Populations
ERIC Educational Resources Information Center
Waltman, Scott H.; Hetrick, Holly; Tasker, Tamara E.
2012-01-01
This article presents the case of a mindfulness-based group therapy that was implemented in a residential treatment facility. The case presented comprised a group of adolescent males with disruptive behavior disorders. The group was designed to be appropriate for the unique demographics of the clients, with the intent to help the clients enhance…
Real-time implementation of logo detection on open source BeagleBoard
NASA Astrophysics Data System (ADS)
George, M.; Kehtarnavaz, N.; Estevez, L.
2011-03-01
This paper presents the real-time implementation of our previously developed logo detection and tracking algorithm on the open source BeagleBoard mobile platform. This platform has an OMAP processor that incorporates an ARM Cortex processor. The algorithm combines Scale Invariant Feature Transform (SIFT) with k-means clustering, online color calibration and moment invariants to robustly detect and track logos in video. Various optimization steps that are carried out to allow the real-time execution of the algorithm on BeagleBoard are discussed. The results obtained are compared to the PC real-time implementation results.
A group filter algorithm for sea mine detection
NASA Astrophysics Data System (ADS)
Cobb, J. Tory; An, Myoung; Tolimieri, Richard
2005-06-01
Automatic detection of sea mines in coastal regions is a difficult task due to the highly variable sea bottom conditions present in the underwater environment. Detection systems must be able to discriminate objects which vary in size, shape, and orientation from naturally occurring and man-made clutter. Additionally, these automated systems must be computationally efficient to be incorporated into unmanned underwater vehicle (UUV) sensor systems characterized by high sensor data rates and limited processing abilities. Using noncommutative group harmonic analysis, a fast, robust sea mine detection system is created. A family of unitary image transforms associated to noncommutative groups is generated and applied to side scan sonar image files supplied by Naval Surface Warfare Center Panama City (NSWC PC). These transforms project key image features, geometrically defined structures with orientations, and localized spectral information into distinct orthogonal components or feature subspaces of the image. The performance of the detection system is compared against the performance of an independent detection system in terms of probability of detection (Pd) and probability of false alarm (Pfa).
About the Early Detection Research Group | Division of Cancer Prevention
The Early Detection Research Group supports research that seeks to determine the effectiveness, operating characteristics and clinical impact (harms as well as benefits) of cancer early detection technologies and practices, such as imaging and molecular biomarker approaches. The group ran two large-scale early detection trials for which data and biospecimens are available
Trophic groups and modules: two levels of group detection in food webs
Gauzens, Benoit; Thébault, Elisa; Lacroix, Gérard; Legendre, Stéphane
2015-01-01
Within food webs, species can be partitioned into groups according to various criteria. Two notions have received particular attention: trophic groups (TGs), which have been used for decades in the ecological literature, and more recently, modules. The relationship between these two group concepts remains unknown in empirical food webs. While recent developments in network theory have led to efficient methods for detecting modules in food webs, the determination of TGs (groups of species that are functionally similar) is largely based on subjective expert knowledge. We develop a novel algorithm for TG detection. We apply this method to empirical food webs and show that aggregation into TGs allows for the simplification of food webs while preserving their information content. Furthermore, we reveal a two-level hierarchical structure where modules partition food webs into large bottom–top trophic pathways, whereas TGs further partition these pathways into groups of species with similar trophic connections. This provides new perspectives for the study of dynamical and functional consequences of food-web structure, bridging topological and dynamical analysis. TGs have a clear ecological meaning and are found to provide a trade-off between network complexity and information loss. PMID:25878127
A bioinspired collision detection algorithm for VLSI implementation
NASA Astrophysics Data System (ADS)
Cuadri, J.; Linan, G.; Stafford, R.; Keil, M. S.; Roca, E.
2005-06-01
In this paper a bioinspired algorithm for collision detection is proposed, based on previous models of the locust (Locusta migratoria) visual system reported by F.C. Rind and her group, in the University of Newcastle-upon-Tyne. The algorithm is suitable for VLSI implementation in standard CMOS technologies as a system-on-chip for automotive applications. The working principle of the algorithm is to process a video stream that represents the current scenario, and to fire an alarm whenever an object approaches on a collision course. Moreover, it establishes a scale of warning states, from no danger to collision alarm, depending on the activity detected in the current scenario. In the worst case, the minimum time before collision at which the model fires the collision alarm is 40 msec (1 frame before, at 25 frames per second). Since the average time to successfully fire an airbag system is 2 msec, even in the worst case, this algorithm would be very helpful to more efficiently arm the airbag system, or even take some kind of collision avoidance countermeasures. Furthermore, two additional modules have been included: a "Topological Feature Estimator" and an "Attention Focusing Algorithm". The former takes into account the shape of the approaching object to decide whether it is a person, a road line or a car. This helps to take more adequate countermeasures and to filter false alarms. The latter centres the processing power into the most active zones of the input frame, thus saving memory and processing time resources.
The Implementation of Group Investigation to Improve the Students' Speaking Skill
ERIC Educational Resources Information Center
Iswardati
2016-01-01
This research aimed to find out how group investigation improves the student's speaking skill of the second grade students of SMA 2 Samarinda, how group investigation improves the student's participation in speaking of second grade students of SMA 2 Samarinda, and what the obstacles are in the implementation of Group Investigation. The classroom…
Real-time implementation of a multispectral mine target detection algorithm
NASA Astrophysics Data System (ADS)
Samson, Joseph W.; Witter, Lester J.; Kenton, Arthur C.; Holloway, John H., Jr.
2003-09-01
Spatial-spectral anomaly detection (the "RX Algorithm") has been exploited on the USMC's Coastal Battlefield Reconnaissance and Analysis (COBRA) Advanced Technology Demonstration (ATD) and several associated technology base studies, and has been found to be a useful method for the automated detection of surface-emplaced antitank land mines in airborne multispectral imagery. RX is a complex image processing algorithm that involves the direct spatial convolution of a target/background mask template over each multispectral image, coupled with a spatially variant background spectral covariance matrix estimation and inversion. The RX throughput on the ATD was about 38X real time using a single Sun UltraSparc system. A goal to demonstrate RX in real-time was begun in FY01. We now report the development and demonstration of a Field Programmable Gate Array (FPGA) solution that achieves a real-time implementation of the RX algorithm at video rates using COBRA ATD data. The approach uses an Annapolis Microsystems Firebird PMC card containing a Xilinx XCV2000E FPGA with over 2,500,000 logic gates and 18MBytes of memory. A prototype system was configured using a Tek Microsystems VME board with dual-PowerPC G4 processors and two PMC slots. The RX algorithm was translated from its C programming implementation into the VHDL language and synthesized into gates that were loaded into the FPGA. The VHDL/synthesizer approach allows key RX parameters to be quickly changed and a new implementation automatically generated. Reprogramming the FPGA is done rapidly and in-circuit. Implementation of the RX algorithm in a single FPGA is a major first step toward achieving real-time land mine detection.
Multifamily Group Psychoeducation in New York State: Implementation and Fidelity Outcomes.
Kealey, Edith M; Leckman-Westin, Emily; Jewell, Thomas C; Finnerty, Molly T
2015-11-01
The study examined implementation outcomes from a large state initiative to support dissemination of multifamily group (MFG) psychoeducation in outpatient mental health settings. Thirty-one sites participated in the project. Baseline training in the MFG model was followed by monthly expert consultation delivered in either a group (16 sites) or individual format (15 sites). Research staff assessed fidelity to the MFG model by telephone at baseline and 12, 18, and 24 months and documented time to completion of three key milestones: holding a family joining session, a family educational workshop, and an MFG meeting. Intent-to-train analyses found that 12 sites (39%) achieved high fidelity to the MFG model, and 20 (65%) achieved moderate or high fidelity. Mean scores on the Family Psychoeducation Fidelity Assessment Scale increased over time. Twenty-five sites (81%) conducted at least one joining session, and 20 (65%) conducted at least one MFG. Mean±SD time from baseline to the first group was 11.75±4.78 months. Programs that held the first joining session within four to 12 months after training were significantly more likely than programs that did not to conduct a group (p<.05). No significant differences were found by consultation format. Implementation of moderate- to high-fidelity MFG programs in routine outpatient mental health settings is feasible. Sites that moved very quickly or very slowly in early implementation stages were less likely to be successful in conducting an MFG. More research on the efficiency and effectiveness of consultation formats is needed to guide future implementation efforts.
Trophic groups and modules: two levels of group detection in food webs.
Gauzens, Benoit; Thébault, Elisa; Lacroix, Gérard; Legendre, Stéphane
2015-05-06
Within food webs, species can be partitioned into groups according to various criteria. Two notions have received particular attention: trophic groups (TGs), which have been used for decades in the ecological literature, and more recently, modules. The relationship between these two group concepts remains unknown in empirical food webs. While recent developments in network theory have led to efficient methods for detecting modules in food webs, the determination of TGs (groups of species that are functionally similar) is largely based on subjective expert knowledge. We develop a novel algorithm for TG detection. We apply this method to empirical food webs and show that aggregation into TGs allows for the simplification of food webs while preserving their information content. Furthermore, we reveal a two-level hierarchical structure where modules partition food webs into large bottom-top trophic pathways, whereas TGs further partition these pathways into groups of species with similar trophic connections. This provides new perspectives for the study of dynamical and functional consequences of food-web structure, bridging topological and dynamical analysis. TGs have a clear ecological meaning and are found to provide a trade-off between network complexity and information loss. © 2015 The Author(s) Published by the Royal Society. All rights reserved.
Signal Detection Analysis of Computer Enhanced Group Decision Making Strategies
2007-11-01
group decision making. 20 References American Psychological Association (2002). Ethical principles of psychologists and code of conduct. American... Creelman , C. D. (2005). Detection theory: A user’s guide (2nd ed.). Mahwah, NJ: Lawrence Erlbaum. Sorkin, R. D. (1998). Group performance depends on...the majority rule. Psychological Science, 9, 456-463. Sorkin, R. D. (2001). Signal-detection analysis of group decision making. Psychological
Khan, Arifa S; Vacante, Dominick A; Cassart, Jean-Pol; Ng, Siemon H S; Lambert, Christophe; Charlebois, Robert L; King, Kathryn E
Several nucleic-acid based technologies have recently emerged with capabilities for broad virus detection. One of these, high throughput sequencing, has the potential for novel virus detection because this method does not depend upon prior viral sequence knowledge. However, the use of high throughput sequencing for testing biologicals poses greater challenges as compared to other newly introduced tests due to its technical complexities and big data bioinformatics. Thus, the Advanced Virus Detection Technologies Users Group was formed as a joint effort by regulatory and industry scientists to facilitate discussions and provide a forum for sharing data and experiences using advanced new virus detection technologies, with a focus on high throughput sequencing technologies. The group was initiated as a task force that was coordinated by the Parenteral Drug Association and subsequently became the Advanced Virus Detection Technologies Interest Group to continue efforts for using new technologies for detection of adventitious viruses with broader participation, including international government agencies, academia, and technology service providers. © PDA, Inc. 2016.
Creating and Implementing a Faculty Interest Group for Historically Underrepresented Faculty
ERIC Educational Resources Information Center
Follins, Lourdes D.; Paler, Lisa K.; Nanin, Jose E.
2015-01-01
This article describes the creation and implementation of a faculty interest group for historically underrepresented faculty at a large, urban community college in the Northeast. Faculty interest groups provide opportunities for faculty across disciplines to meet to explore common interests and share concerns and best practices. The faculty…
40 CFR 52.63 - PM10 State Implementation Plan development in group II areas.
Code of Federal Regulations, 2014 CFR
2014-07-01
... development in group II areas. 52.63 Section 52.63 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Alabama § 52.63 PM10 State Implementation Plan development in group II areas. On March 15, 1989, the State submitted a...
40 CFR 52.881 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2012 CFR
2012-07-01
... development in group II areas. 52.881 Section 52.881 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kansas § 52.881 PM10 State implementation plan development in group II areas. The state has submitted a committal SIP for...
40 CFR 52.63 - PM10 State Implementation Plan development in group II areas.
Code of Federal Regulations, 2010 CFR
2010-07-01
... development in group II areas. 52.63 Section 52.63 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Alabama § 52.63 PM10 State Implementation Plan development in group II areas. On March 15, 1989, the State submitted a...
40 CFR 52.63 - PM10 State Implementation Plan development in group II areas.
Code of Federal Regulations, 2011 CFR
2011-07-01
... development in group II areas. 52.63 Section 52.63 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Alabama § 52.63 PM10 State Implementation Plan development in group II areas. On March 15, 1989, the State submitted a...
40 CFR 52.935 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2010 CFR
2010-07-01
... development in group II areas. 52.935 Section 52.935 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kentucky § 52.935 PM10 State implementation plan development in group II areas. On July 7, 1988, the State submitted a...
40 CFR 52.935 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2014 CFR
2014-07-01
... development in group II areas. 52.935 Section 52.935 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kentucky § 52.935 PM10 State implementation plan development in group II areas. On July 7, 1988, the State submitted a...
40 CFR 52.935 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2013 CFR
2013-07-01
... development in group II areas. 52.935 Section 52.935 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kentucky § 52.935 PM10 State implementation plan development in group II areas. On July 7, 1988, the State submitted a...
40 CFR 52.881 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2010 CFR
2010-07-01
... development in group II areas. 52.881 Section 52.881 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kansas § 52.881 PM10 State implementation plan development in group II areas. The state has submitted a committal SIP for...
40 CFR 52.935 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2011 CFR
2011-07-01
... development in group II areas. 52.935 Section 52.935 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kentucky § 52.935 PM10 State implementation plan development in group II areas. On July 7, 1988, the State submitted a...
40 CFR 52.881 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2011 CFR
2011-07-01
... development in group II areas. 52.881 Section 52.881 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kansas § 52.881 PM10 State implementation plan development in group II areas. The state has submitted a committal SIP for...
40 CFR 52.881 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2014 CFR
2014-07-01
... development in group II areas. 52.881 Section 52.881 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kansas § 52.881 PM10 State implementation plan development in group II areas. The state has submitted a committal SIP for...
40 CFR 52.63 - PM10 State Implementation Plan development in group II areas.
Code of Federal Regulations, 2012 CFR
2012-07-01
... development in group II areas. 52.63 Section 52.63 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Alabama § 52.63 PM10 State Implementation Plan development in group II areas. On March 15, 1989, the State submitted a...
40 CFR 52.63 - PM10 State Implementation Plan development in group II areas.
Code of Federal Regulations, 2013 CFR
2013-07-01
... development in group II areas. 52.63 Section 52.63 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Alabama § 52.63 PM10 State Implementation Plan development in group II areas. On March 15, 1989, the State submitted a...
40 CFR 52.881 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2013 CFR
2013-07-01
... development in group II areas. 52.881 Section 52.881 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kansas § 52.881 PM10 State implementation plan development in group II areas. The state has submitted a committal SIP for...
40 CFR 52.935 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2012 CFR
2012-07-01
... development in group II areas. 52.935 Section 52.935 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) APPROVAL AND PROMULGATION OF IMPLEMENTATION PLANS Kentucky § 52.935 PM10 State implementation plan development in group II areas. On July 7, 1988, the State submitted a...
F-Formation Detection: Individuating Free-Standing Conversational Groups in Images
Setti, Francesco; Russell, Chris; Bassetti, Chiara; Cristani, Marco
2015-01-01
Detection of groups of interacting people is a very interesting and useful task in many modern technologies, with application fields spanning from video-surveillance to social robotics. In this paper we first furnish a rigorous definition of group considering the background of the social sciences: this allows us to specify many kinds of group, so far neglected in the Computer Vision literature. On top of this taxonomy we present a detailed state of the art on the group detection algorithms. Then, as a main contribution, we present a brand new method for the automatic detection of groups in still images, which is based on a graph-cuts framework for clustering individuals; in particular, we are able to codify in a computational sense the sociological definition of F-formation, that is very useful to encode a group having only proxemic information: position and orientation of people. We call the proposed method Graph-Cuts for F-formation (GCFF). We show how GCFF definitely outperforms all the state of the art methods in terms of different accuracy measures (some of them are brand new), demonstrating also a strong robustness to noise and versatility in recognizing groups of various cardinality. PMID:25996922
Community detection in networks with unequal groups.
Zhang, Pan; Moore, Cristopher; Newman, M E J
2016-01-01
Recently, a phase transition has been discovered in the network community detection problem below which no algorithm can tell which nodes belong to which communities with success any better than a random guess. This result has, however, so far been limited to the case where the communities have the same size or the same average degree. Here we consider the case where the sizes or average degrees differ. This asymmetry allows us to assign nodes to communities with better-than-random success by examining their local neighborhoods. Using the cavity method, we show that this removes the detectability transition completely for networks with four groups or fewer, while for more than four groups the transition persists up to a critical amount of asymmetry but not beyond. The critical point in the latter case coincides with the point at which local information percolates, causing a global transition from a less-accurate solution to a more-accurate one.
Visser, Maretha J; Mundell, Jonathan P
2008-07-01
HIV-infected women need support to deal with their diagnosis as well as with the stigma attached to HIV. As part of their practical training, Master's-level psychology students negotiated with the staff of four clinics in townships in Tshwane, South Africa, to establish support groups for HIV+ women and offered to assist them in facilitating the groups. This study aimed to understand why the implementation of groups was successful in one clinic and not other clinics. The student reports on their experiences and interaction with clinic staff and clients were used as sources of data. Using qualitative data analysis, different dynamics and factors that could affect project implementation were identified in each clinic. The socio-ecological and systems theories were used to understand implementation processes and obstacles in implementation. The metaphor of building a bridge over a gorge was used to describe the different phases in and obstacles to the implementation of the intervention. Valuable lessons were learnt, resulting in the development of guiding principles for the implementation of support groups in community settings.
Gagnon, Marie-Pierre; Nsangou, Édith-Romy; Payne-Gagnon, Julie; Grenier, Sonya; Sicotte, Claude
2014-01-01
We conducted a systematic review identifying users groups' perceptions of barriers and facilitators to implementing electronic prescription (e-prescribing) in primary care. We included studies following these criteria: presence of an empirical design, focus on the users' experience of e-prescribing implementation, conducted in primary care, and providing data on barriers and facilitators to e-prescribing implementation. We used the Donabedian logical model of healthcare quality (adapted by Barber et al) to analyze our findings. We found 34 publications (related to 28 individual studies) eligible to be included in this review. These studies identified a total of 594 elements as barriers or facilitators to e-prescribing implementation. Most user groups perceived that e-prescribing was facilitated by design and technical concerns, interoperability, content appropriate for the users, attitude towards e-prescribing, productivity, and available resources. This review highlights the importance of technical and organizational support for the successful implementation of e-prescribing systems. It also shows that the same factor can be seen as a barrier or a facilitator depending on the project's own circumstances. Moreover, a factor can change in nature, from a barrier to a facilitator and vice versa, in the process of e-prescribing implementation. This review summarizes current knowledge on factors related to e-prescribing implementation in primary care that could support decision makers in their design of effective implementation strategies. Finally, future studies should emphasize on the perceptions of other user groups, such as pharmacists, managers, vendors, and patients, who remain neglected in the literature.
ERIC Educational Resources Information Center
Nkyi, Anthony K.
2015-01-01
This article presents development and informal assessment of a 10-week psychoeducational program designed for 8 adolescent group members experiencing parental divorce in a rural community in Ghana. Group design, cultural considerations, program implementation, and impacts are described. The literature review pertaining to group work as an…
McCusker, J J; McCoy, E L; Young, C L; Alamares, R; Hirsch, L S
1984-01-01
The Directigen Group A Strep Test (DGAST), a new rapid method of detecting group A beta-hemolytic streptococci directly from throat swabs, was compared with a traditional culture technique for the detection of group A beta-hemolytic streptococci. Five hundred oropharyngeal swabs from pediatric and adult patients were cultured and then processed by using the DGAST. Of the 144 specimens positive by culture, 131 were DGAST positive (sensitivity, 90.9%). Of the 356 specimens negative by culture, 353 were DGAST negative (specificity, 99.2%). Twelve of the 13 false-negative DGAST results were from pediatric patients. One hundred isolates of non-group A beta-hemolytic streptococci were recovered, primarily groups C, F, and G. The DGAST is easy to perform, rapid, sensitive, and very specific for detection of group A beta-hemolytic streptococci directly from swabs. Supplementing the DGAST with a culture on a 5% sheep blood agar plate would enhance detection of group A beta-hemolytic streptococci, especially in pediatric patients. PMID:6386884
A real time microcomputer implementation of sensor failure detection for turbofan engines
NASA Technical Reports Server (NTRS)
Delaat, John C.; Merrill, Walter C.
1989-01-01
An algorithm was developed which detects, isolates, and accommodates sensor failures using analytical redundancy. The performance of this algorithm was demonstrated on a full-scale F100 turbofan engine. The algorithm was implemented in real-time on a microprocessor-based controls computer which includes parallel processing and high order language programming. Parallel processing was used to achieve the required computational power for the real-time implementation. High order language programming was used in order to reduce the programming and maintenance costs of the algorithm implementation software. The sensor failure algorithm was combined with an existing multivariable control algorithm to give a complete control implementation with sensor analytical redundancy. The real-time microprocessor implementation of the algorithm which resulted in the successful completion of the algorithm engine demonstration, is described.
Two Models for Semi-Supervised Terrorist Group Detection
NASA Astrophysics Data System (ADS)
Ozgul, Fatih; Erdem, Zeki; Bowerman, Chris
Since discovery of organization structure of offender groups leads the investigation to terrorist cells or organized crime groups, detecting covert networks from crime data are important to crime investigation. Two models, GDM and OGDM, which are based on another representation model - OGRM are developed and tested on nine terrorist groups. GDM, which is basically depending on police arrest data and “caught together” information and OGDM, which uses a feature matching on year-wise offender components from arrest and demographics data, performed well on terrorist groups, but OGDM produced high precision with low recall values. OGDM uses a terror crime modus operandi ontology which enabled matching of similar crimes.
40 CFR 52.823 - PM10 State Implementation Plan Development in Group II Areas.
Code of Federal Regulations, 2010 CFR
2010-07-01
... Development in Group II Areas. 52.823 Section 52.823 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State Implementation Plan Development in Group II Areas. The Iowa Department of Natural Resources...: Three groups within the State of Iowa have been classified as Group II areas for fine particulate (PM-10...
40 CFR 52.823 - PM10 State Implementation Plan Development in Group II Areas.
Code of Federal Regulations, 2012 CFR
2012-07-01
... Development in Group II Areas. 52.823 Section 52.823 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State Implementation Plan Development in Group II Areas. The Iowa Department of Natural Resources...: Three groups within the State of Iowa have been classified as Group II areas for fine particulate (PM-10...
40 CFR 52.823 - PM10 State Implementation Plan Development in Group II Areas.
Code of Federal Regulations, 2014 CFR
2014-07-01
... Development in Group II Areas. 52.823 Section 52.823 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State Implementation Plan Development in Group II Areas. The Iowa Department of Natural Resources...: Three groups within the State of Iowa have been classified as Group II areas for fine particulate (PM-10...
40 CFR 52.823 - PM10 State Implementation Plan Development in Group II Areas.
Code of Federal Regulations, 2013 CFR
2013-07-01
... Development in Group II Areas. 52.823 Section 52.823 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State Implementation Plan Development in Group II Areas. The Iowa Department of Natural Resources...: Three groups within the State of Iowa have been classified as Group II areas for fine particulate (PM-10...
40 CFR 52.823 - PM10 State Implementation Plan Development in Group II Areas.
Code of Federal Regulations, 2011 CFR
2011-07-01
... Development in Group II Areas. 52.823 Section 52.823 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... State Implementation Plan Development in Group II Areas. The Iowa Department of Natural Resources...: Three groups within the State of Iowa have been classified as Group II areas for fine particulate (PM-10...
Church, Deirdre L; Lloyd, Tracie; Larios, Oscar; Gregson, Daniel B
2018-03-01
Diagnosis of bacterial pharyngitis is confirmed by detection of group A Streptococcus (GAS) in patient throat samples. Testing of throat samples has historically relied on culture, but new molecular methods allow much faster test turnaround time (i.e., same day versus 48 to 72 h for culture). Our laboratory uses the Hologic GAS Direct (GASD) assay for screening more than 125,000 throat samples per year. Simplexa GAS Direct is a new real-time quantitative PCR (qPCR) assay that does not require initial DNA extraction. Performance of Simplexa qPCR was compared to GASD. A total of 289 throat swabs were collected from patients attending ambulatory clinics in Calgary, Alberta, Canada. A total of 60 (20.8%) of the samples were initially GAS positive by either method: 54 by both methods, 4 by Simplex qPCR alone, and 2 by GASD alone. An in-house PCR using a unique GAS primer set was used to resolve the 6 discrepant results. Overall, GASD compared to Simplexa qPCR had a sensitivity, specificity, positive predictive value, and negative predictive value of 93.1% versus 100%, 100% versus 100%, 100% versus 100%, and 98.31% versus 100%, respectively. Implementation of Simplexa qPCR in our laboratory setting would cost more but allow the high sample volume to be reported in half the time and save 0.62 medical laboratory technician (MLT) full-time equivalent (FTE). In comparison to culture, the implementation of Simplexa qPCR would save 2.79 medical laboratory assistant (MLA) FTE plus 0.94 MLT FTE. Simplexa qPCR has improved performance and diagnostic efficiency in a high-volume laboratory compared to GASD for GAS detection in throat swabs. Copyright © 2018 American Society for Microbiology.
ERIC Educational Resources Information Center
Sari, Halil Ibrahim; Huggins, Anne Corinne
2015-01-01
This study compares two methods of defining groups for the detection of differential item functioning (DIF): (a) pairwise comparisons and (b) composite group comparisons. We aim to emphasize and empirically support the notion that the choice of pairwise versus composite group definitions in DIF is a reflection of how one defines fairness in DIF…
NASA Technical Reports Server (NTRS)
Ferrell, Bob A.; Lewis, Mark E.; Perotti, Jose M.; Brown, Barbara L.; Oostdyk, Rebecca L.; Goetz, Jesse W.
2010-01-01
This paper's main purpose is to detail issues and lessons learned regarding designing, integrating, and implementing Fault Detection Isolation and Recovery (FDIR) for Constellation Exploration Program (CxP) Ground Operations at Kennedy Space Center (KSC). Part of the0 overall implementation of National Aeronautics and Space Administration's (NASA's) CxP, FDIR is being implemented in three main components of the program (Ares, Orion, and Ground Operations/Processing). While not initially part of the design baseline for the CxP Ground Operations, NASA felt that FDIR is important enough to develop, that NASA's Exploration Systems Mission Directorate's (ESMD's) Exploration Technology Development Program (ETDP) initiated a task for it under their Integrated System Health Management (ISHM) research area. This task, referred to as the FDIIR project, is a multi-year multi-center effort. The primary purpose of the FDIR project is to develop a prototype and pathway upon which Fault Detection and Isolation (FDI) may be transitioned into the Ground Operations baseline. Currently, Qualtech Systems Inc (QSI) Commercial Off The Shelf (COTS) software products Testability Engineering and Maintenance System (TEAMS) Designer and TEAMS RDS/RT are being utilized in the implementation of FDI within the FDIR project. The TEAMS Designer COTS software product is being utilized to model the system with Functional Fault Models (FFMs). A limited set of systems in Ground Operations are being modeled by the FDIR project, and the entire Ares Launch Vehicle is being modeled under the Functional Fault Analysis (FFA) project at Marshall Space Flight Center (MSFC). Integration of the Ares FFMs and the Ground Processing FFMs is being done under the FDIR project also utilizing the TEAMS Designer COTS software product. One of the most significant challenges related to integration is to ensure that FFMs developed by different organizations can be integrated easily and without errors. Software Interface
Text String Detection from Natural Scenes by Structure-based Partition and Grouping
Yi, Chucai; Tian, YingLi
2012-01-01
Text information in natural scene images serves as important clues for many image-based applications such as scene understanding, content-based image retrieval, assistive navigation, and automatic geocoding. However, locating text from complex background with multiple colors is a challenging task. In this paper, we explore a new framework to detect text strings with arbitrary orientations in complex natural scene images. Our proposed framework of text string detection consists of two steps: 1) Image partition to find text character candidates based on local gradient features and color uniformity of character components. 2) Character candidate grouping to detect text strings based on joint structural features of text characters in each text string such as character size differences, distances between neighboring characters, and character alignment. By assuming that a text string has at least three characters, we propose two algorithms of text string detection: 1) adjacent character grouping method, and 2) text line grouping method. The adjacent character grouping method calculates the sibling groups of each character candidate as string segments and then merges the intersecting sibling groups into text string. The text line grouping method performs Hough transform to fit text line among the centroids of text candidates. Each fitted text line describes the orientation of a potential text string. The detected text string is presented by a rectangle region covering all characters whose centroids are cascaded in its text line. To improve efficiency and accuracy, our algorithms are carried out in multi-scales. The proposed methods outperform the state-of-the-art results on the public Robust Reading Dataset which contains text only in horizontal orientation. Furthermore, the effectiveness of our methods to detect text strings with arbitrary orientations is evaluated on the Oriented Scene Text Dataset collected by ourselves containing text strings in non
Text string detection from natural scenes by structure-based partition and grouping.
Yi, Chucai; Tian, YingLi
2011-09-01
Text information in natural scene images serves as important clues for many image-based applications such as scene understanding, content-based image retrieval, assistive navigation, and automatic geocoding. However, locating text from a complex background with multiple colors is a challenging task. In this paper, we explore a new framework to detect text strings with arbitrary orientations in complex natural scene images. Our proposed framework of text string detection consists of two steps: 1) image partition to find text character candidates based on local gradient features and color uniformity of character components and 2) character candidate grouping to detect text strings based on joint structural features of text characters in each text string such as character size differences, distances between neighboring characters, and character alignment. By assuming that a text string has at least three characters, we propose two algorithms of text string detection: 1) adjacent character grouping method and 2) text line grouping method. The adjacent character grouping method calculates the sibling groups of each character candidate as string segments and then merges the intersecting sibling groups into text string. The text line grouping method performs Hough transform to fit text line among the centroids of text candidates. Each fitted text line describes the orientation of a potential text string. The detected text string is presented by a rectangle region covering all characters whose centroids are cascaded in its text line. To improve efficiency and accuracy, our algorithms are carried out in multi-scales. The proposed methods outperform the state-of-the-art results on the public Robust Reading Dataset, which contains text only in horizontal orientation. Furthermore, the effectiveness of our methods to detect text strings with arbitrary orientations is evaluated on the Oriented Scene Text Dataset collected by ourselves containing text strings in nonhorizontal
Peek, Sebastiaan Theodorus Michaël; Wouters, Eveline J M; Luijkx, Katrien G; Vrijhoef, Hubertus J M
2016-05-03
There is a growing interest in empowering older adults to age in place by deploying various types of technology (ie, eHealth, ambient assisted living technology, smart home technology, and gerontechnology). However, initiatives aimed at implementing these technologies are complicated by the fact that multiple stakeholder groups are involved. Goals and motives of stakeholders may not always be transparent or aligned, yet research on convergent and divergent positions of stakeholders is scarce. To provide insight into the positions of stakeholder groups involved in the implementation of technology for aging in place by answering the following questions: What kind of technology do stakeholders see as relevant? What do stakeholders aim to achieve by implementing technology? What is needed to achieve successful implementations? Mono-disciplinary focus groups were conducted with participants (n=29) representing five groups of stakeholders: older adults (6/29, 21%), care professionals (7/29, 24%), managers within home care or social work organizations (5/29, 17%), technology designers and suppliers (6/29, 21%), and policy makers (5/29, 17%). Transcripts were analyzed using thematic analysis. Stakeholders considered 26 different types of technologies to be relevant for enabling independent living. Only 6 out of 26 (23%) types of technology were mentioned by all stakeholder groups. Care professionals mentioned fewer different types of technology than other groups. All stakeholder groups felt that the implementation of technology for aging in place can be considered a success when (1) older adults' needs and wishes are prioritized during development and deployment of the technology, (2) the technology is accepted by older adults, (3) the technology provides benefits to older adults, and (4) favorable prerequisites for the use of technology by older adults exist. While stakeholders seemed to have identical aims, several underlying differences emerged, for example, with regard
Wouters, Eveline JM; Luijkx, Katrien G; Vrijhoef, Hubertus JM
2016-01-01
Background There is a growing interest in empowering older adults to age in place by deploying various types of technology (ie, eHealth, ambient assisted living technology, smart home technology, and gerontechnology). However, initiatives aimed at implementing these technologies are complicated by the fact that multiple stakeholder groups are involved. Goals and motives of stakeholders may not always be transparent or aligned, yet research on convergent and divergent positions of stakeholders is scarce. Objective To provide insight into the positions of stakeholder groups involved in the implementation of technology for aging in place by answering the following questions: What kind of technology do stakeholders see as relevant? What do stakeholders aim to achieve by implementing technology? What is needed to achieve successful implementations? Methods Mono-disciplinary focus groups were conducted with participants (n=29) representing five groups of stakeholders: older adults (6/29, 21%), care professionals (7/29, 24%), managers within home care or social work organizations (5/29, 17%), technology designers and suppliers (6/29, 21%), and policy makers (5/29, 17%). Transcripts were analyzed using thematic analysis. Results Stakeholders considered 26 different types of technologies to be relevant for enabling independent living. Only 6 out of 26 (23%) types of technology were mentioned by all stakeholder groups. Care professionals mentioned fewer different types of technology than other groups. All stakeholder groups felt that the implementation of technology for aging in place can be considered a success when (1) older adults’ needs and wishes are prioritized during development and deployment of the technology, (2) the technology is accepted by older adults, (3) the technology provides benefits to older adults, and (4) favorable prerequisites for the use of technology by older adults exist. While stakeholders seemed to have identical aims, several underlying
NASA Technical Reports Server (NTRS)
Delaat, John C.; Merrill, Walter C.
1990-01-01
The objective of the Advanced Detection, Isolation, and Accommodation Program is to improve the overall demonstrated reliability of digital electronic control systems for turbine engines. For this purpose, an algorithm was developed which detects, isolates, and accommodates sensor failures by using analytical redundancy. The performance of this algorithm was evaluated on a real time engine simulation and was demonstrated on a full scale F100 turbofan engine. The real time implementation of the algorithm is described. The implementation used state-of-the-art microprocessor hardware and software, including parallel processing and high order language programming.
ERIC Educational Resources Information Center
Fettig, Angel; Artman-Meeker, Kathleen
2016-01-01
The purpose of this article was to describe a group coaching model and present preliminary evidence of its impact on teachers' implementation of Pyramid Model practices. In particular, we described coaching strategies used to support teachers in reflecting and problem solving on the implementation of the evidence-based strategies. Preliminary…
Implementing evidence-based medicine in general practice: a focus group based study
Hannes, Karin; Leys, Marcus; Vermeire, Etienne; Aertgeerts, Bert; Buntinx, Frank; Depoorter, Anne-Marie
2005-01-01
Background Over the past years concerns are rising about the use of Evidence-Based Medicine (EBM) in health care. The calls for an increase in the practice of EBM, seem to be obstructed by many barriers preventing the implementation of evidence-based thinking and acting in general practice. This study aims to explore the barriers of Flemish GPs (General Practitioners) to the implementation of EBM in routine clinical work and to identify possible strategies for integrating EBM in daily work. Methods We used a qualitative research strategy to gather and analyse data. We organised focus groups between September 2002 and April 2003. The focus group data were analysed using a combined strategy of 'between-case' analysis and 'grounded theory approach'. Thirty-one general practitioners participated in four focus groups. Purposeful sampling was used to recruit participants. Results A basic classification model documents the influencing factors and actors on a micro-, meso- as well as macro-level. Patients, colleagues, competences, logistics and time were identified on the micro-level (the GPs' individual practice), commercial and consumer organisations on the meso-level (institutions, organisations) and health care policy, media and specific characteristics of evidence on the macro-level (policy level and international scientific community). Existing barriers and possible strategies to overcome these barriers were described. Conclusion In order to implement EBM in routine general practice, an integrated approach on different levels needs to be developed. PMID:16153300
Huntink, Elke; van Lieshout, Jan; Aakhus, Eivind; Baker, Richard; Flottorp, Signe; Godycki-Cwirko, Maciek; Jäger, Cornelia; Kowalczyk, Anna; Szecsenyi, Joachim; Wensing, Michel
2014-12-06
Tailored strategies to implement evidence-based practice can be generated in several ways. In this study, we explored the usefulness of group interviews for generating these strategies, focused on improving healthcare for patients with chronic diseases. Participants included at least four categories of stakeholders (researchers, quality officers, health professionals, and external stakeholders) in five countries. Interviews comprised brainstorming followed by a structured interview and focused on different chronic conditions in each country. We compared the numbers and types of strategies between stakeholder categories and between interview phases. We also determined which strategies were actually used in tailored intervention programs. In total, 127 individuals participated in 25 group interviews across five countries. Brainstorming generated 8 to 120 strategies per group; structured interviews added 0 to 55 strategies. Healthcare professionals and researchers provided the largest numbers of strategies. The type of strategies for improving healthcare practice did not differ systematically between stakeholder groups in four of the five countries. In three out of five countries, all components of the chosen intervention programs were mentioned by the group of researchers. Group interviews with different stakeholder categories produced many strategies for tailored implementation of evidence-based practice, of which the content was largely similar across stakeholder categories.
Win, Ni Ni; Nadarajah, Vishna Devi V; Win, Daw Khin
2015-01-01
Problem-based learning (PBL) is usually conducted in small-group learning sessions with approximately eight students per facilitator. In this study, we implemented a modified version of PBL involving collaborative groups in an undergraduate chiropractic program and assessed its pedagogical effectiveness. This study was conducted at the International Medical University, Kuala Lumpur, Malaysia, and involved the 2012 chiropractic student cohort. Six PBL cases were provided to chiropractic students, consisting of three PBL cases for which learning resources were provided and another three PBL cases for which learning resources were not provided. Group discussions were not continuously supervised, since only one facilitator was present. The students' perceptions of PBL in collaborative groups were assessed with a questionnaire that was divided into three domains: motivation, cognitive skills, and perceived pressure to work. Thirty of the 31 students (97%) participated in the study. PBL in collaborative groups was significantly associated with positive responses regarding students' motivation, cognitive skills, and perceived pressure to work (P<0.05). The students felt that PBL with learning resources increased motivation and cognitive skills (P<0.001). The new PBL implementation described in this study does not require additional instructors or any additional funding. When implemented in a classroom setting, it has pedagogical benefits equivalent to those of small-group sessions. Our findings also suggest that students rely significantly on available learning resources.
Implementation Issues of Adaptive Energy Detection in Heterogeneous Wireless Networks
Sobron, Iker; Eizmendi, Iñaki; Martins, Wallace A.; Diniz, Paulo S. R.; Ordiales, Juan Luis; Velez, Manuel
2017-01-01
Spectrum sensing (SS) enables the coexistence of non-coordinated heterogeneous wireless systems operating in the same band. Due to its computational simplicity, energy detection (ED) technique has been widespread employed in SS applications; nonetheless, the conventional ED may be unreliable under environmental impairments, justifying the use of ED-based variants. Assessing ED algorithms from theoretical and simulation viewpoints relies on several assumptions and simplifications which, eventually, lead to conclusions that do not necessarily meet the requirements imposed by real propagation environments. This work addresses those problems by dealing with practical implementation issues of adaptive least mean square (LMS)-based ED algorithms. The paper proposes a new adaptive ED algorithm that uses a variable step-size guaranteeing the LMS convergence in time-varying environments. Several implementation guidelines are provided and, additionally, an empirical assessment and validation with a software defined radio-based hardware is carried out. Experimental results show good performance in terms of probabilities of detection (Pd>0.9) and false alarm (Pf∼0.05) in a range of low signal-to-noise ratios around [-4,1] dB, in both single-node and cooperative modes. The proposed sensing methodology enables a seamless monitoring of the radio electromagnetic spectrum in order to provide band occupancy information for an efficient usage among several wireless communications systems. PMID:28441751
Lee, Youngbum; Kim, Jinkwon; Son, Muntak; Lee, Myoungho
2007-01-01
This research implements wireless accelerometer sensor module and algorithm to determine wearer's posture, activity and fall. Wireless accelerometer sensor module uses ADXL202, 2-axis accelerometer sensor (Analog Device). And using wireless RF module, this module measures accelerometer signal and shows the signal at ;Acceloger' viewer program in PC. ADL algorithm determines posture, activity and fall that activity is determined by AC component of accelerometer signal and posture is determined by DC component of accelerometer signal. Those activity and posture include standing, sitting, lying, walking, running, etc. By the experiment for 30 subjects, the performance of implemented algorithm was assessed, and detection rate for postures, motions and subjects was calculated. Lastly, using wireless sensor network in experimental space, subject's postures, motions and fall monitoring system was implemented. By the simulation experiment for 30 subjects, 4 kinds of activity, 3 times, fall detection rate was calculated. In conclusion, this system can be application to patients and elders for activity monitoring and fall detection and also sports athletes' exercise measurement and pattern analysis. And it can be expected to common person's exercise training and just plaything for entertainment.
Ooms, Linda; Veenhof, Cindy; Schipper-van Veldhoven, Nicolette; de Bakker, Dinny H
2015-01-01
The organized sports sector has received increased attention as a setting to promote health-enhancing physical activity (HEPA) to the general population. For significant public health impact, it is important that successful HEPA programs are widely adopted, implemented and continued as ongoing practice. The importance of evaluating the context in which programs are implemented has been identified as critical. However, little research has focused on understanding the organized sports implementation context, including factors facilitating and impeding implementation. In this study, the main factors influencing implementation of HEPA programs in the organized sports setting were studied. Fourteen sporting programs in the Netherlands aimed at increasing participation in sports by inactive population groups and funded within the National Action Plan for Sport and Exercise (NAPSE) were investigated. The programs were developed by ten Dutch National Sports Federations (NSFs) and implemented by different sports clubs in the Netherlands over a 3-year implementation period (June 2008-June 2011). The qualitative research component involved yearly face-to-face interviews (i.e. fourteen interviews each year, n = 12 program coordinators) and a group meeting with the program coordinators of the NSFs (n = 8). Cross-case comparisons and thematic analyses were performed to identify and categorize important facilitating and impeding factors respectively. The quantitative research component, used to identify the most important facilitating and impeding factors across all sporting programs, consisted of ranking of factors according to importance by the program coordinators (n = 12). Different factors act during six identified (implementation) phases. When comparing factors across phases, several key learnings were evident. Successful implementation relied, for example, on program design and enthusiastic individuals within sporting organizations. On the other hand, inactive
Küçük, Oznur; Biçer, Suat; Giray, Tuba; Cöl, Defne; Erdağ, Gülay Ciler; Gürol, Yeşim; Kaspar, Ciğdem E; Vitrinel, Ayça
2014-02-01
To evaluate the utility of rapid antigen detection testing (RADT) for the diagnosis of group A beta-hemolytic streptococcal tonsillopharyngitis in children, and to detect the sensitivity and specificity of rapid antigen detection of group A beta-hemolytic streptococci from throat specimen compared with throat culture. Rapid antigen detection and throat culture results for group A beta-hemolytic streptococci from outpatients attending university hospital between 1st January 2011 and 31st of December 2011 were evaluated retrospectively. The antigen test negative-throat culture positive patients were investigated for streptococcal carriage. For this purpose, the throat culture results taken from these patients were reviewed after treatment. Eight hundred and ninetytwo children were included in the studywith a mean age of 5.34 y. There were 639 and 253 children in two groups with age of 0-6 and 7-17 y, RADT sensitivity and specificity were found to be 59.5 % and 97.2 %, respectively. The positive predictive value was 87.1 %, whereas negative predictive value was 88.4 %. After treatment of 74 patients with throat culture positive and antigen test negative. Group A beta-hemolytic streptococci were isolated in 12 of them (16.2 %) and accepted as a carrier. The low sensitivity of the RADT may be related to streptococcal carriage in some patients. The throat culture should be repeated after treatment to detect streptococcal carriage.
The design and hardware implementation of a low-power real-time seizure detection algorithm
NASA Astrophysics Data System (ADS)
Raghunathan, Shriram; Gupta, Sumeet K.; Ward, Matthew P.; Worth, Robert M.; Roy, Kaushik; Irazoqui, Pedro P.
2009-10-01
Epilepsy affects more than 1% of the world's population. Responsive neurostimulation is emerging as an alternative therapy for the 30% of the epileptic patient population that does not benefit from pharmacological treatment. Efficient seizure detection algorithms will enable closed-loop epilepsy prostheses by stimulating the epileptogenic focus within an early onset window. Critically, this is expected to reduce neuronal desensitization over time and lead to longer-term device efficacy. This work presents a novel event-based seizure detection algorithm along with a low-power digital circuit implementation. Hippocampal depth-electrode recordings from six kainate-treated rats are used to validate the algorithm and hardware performance in this preliminary study. The design process illustrates crucial trade-offs in translating mathematical models into hardware implementations and validates statistical optimizations made with empirical data analyses on results obtained using a real-time functioning hardware prototype. Using quantitatively predicted thresholds from the depth-electrode recordings, the auto-updating algorithm performs with an average sensitivity and selectivity of 95.3 ± 0.02% and 88.9 ± 0.01% (mean ± SEα = 0.05), respectively, on untrained data with a detection delay of 8.5 s [5.97, 11.04] from electrographic onset. The hardware implementation is shown feasible using CMOS circuits consuming under 350 nW of power from a 250 mV supply voltage from simulations on the MIT 180 nm SOI process.
40 CFR 52.1423 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2011 CFR
2011-07-01
... development in group II areas. 52.1423 Section 52.1423 Protection of Environment ENVIRONMENTAL PROTECTION...) Nebraska § 52.1423 PM10 State implementation plan development in group II areas. The state of Nebraska...: (a) An area in the City of Omaha and the area in and around the Village of Weeping Water have been...
40 CFR 52.1423 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2012 CFR
2012-07-01
... development in group II areas. 52.1423 Section 52.1423 Protection of Environment ENVIRONMENTAL PROTECTION...) Nebraska § 52.1423 PM10 State implementation plan development in group II areas. The state of Nebraska...: (a) An area in the City of Omaha and the area in and around the Village of Weeping Water have been...
40 CFR 52.1423 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2013 CFR
2013-07-01
... development in group II areas. 52.1423 Section 52.1423 Protection of Environment ENVIRONMENTAL PROTECTION...) Nebraska § 52.1423 PM10 State implementation plan development in group II areas. The state of Nebraska...: (a) An area in the City of Omaha and the area in and around the Village of Weeping Water have been...
40 CFR 52.1423 - PM10 State implementation plan development in group II areas.
Code of Federal Regulations, 2014 CFR
2014-07-01
... development in group II areas. 52.1423 Section 52.1423 Protection of Environment ENVIRONMENTAL PROTECTION...) Nebraska § 52.1423 PM10 State implementation plan development in group II areas. The state of Nebraska...: (a) An area in the City of Omaha and the area in and around the Village of Weeping Water have been...
Differential Item Functioning Detection Across Two Methods of Defining Group Comparisons
Sari, Halil Ibrahim
2014-01-01
This study compares two methods of defining groups for the detection of differential item functioning (DIF): (a) pairwise comparisons and (b) composite group comparisons. We aim to emphasize and empirically support the notion that the choice of pairwise versus composite group definitions in DIF is a reflection of how one defines fairness in DIF studies. In this study, a simulation was conducted based on data from a 60-item ACT Mathematics test (ACT; Hanson & Béguin). The unsigned area measure method (Raju) was used as the DIF detection method. An application to operational data was also completed in the study, as well as a comparison of observed Type I error rates and false discovery rates across the two methods of defining groups. Results indicate that the amount of flagged DIF or interpretations about DIF in all conditions were not the same across the two methods, and there may be some benefits to using composite group approaches. The results are discussed in connection to differing definitions of fairness. Recommendations for practice are made. PMID:29795837
Compact USB-powered mobile ELISA-based pathogen detection: design and implementation challenges
NASA Astrophysics Data System (ADS)
Starodubov, Dmitry; Asanbaeva, Anya; Berezhnyy, Ihor; Chao, Chung-Yen; Koziol, Richard; Miller, David; Patton, Edward; Trehan, Sushma; Ulmer, Chris
2011-05-01
Physical Optics Corporation (POC) presents a novel Mobile ELISA-based Pathogen Detection system that is based on a disposable microfluidic chip for multiple-threat detection and a highly sensitive portable microfluidic fluorescence measurement unit that also controls the flow of samples and reagents through the microfluidic channels of the chip. The fluorescence detection subsystem is composed of a commercial 635-nm diode laser, an avalanche photodiode (APD) that measures fluorescence, and three filtering mirrors that provide more than 100 dB of excitation line suppression in the signal detection channel. Special techniques to suppress the fluorescence and scattering background allow optimizing the dynamic range for a compact package. Concentrations below 100 ng/mL can be reliably identified. The entire instrument is powered using a USB port of a notebook PC and operates as a plug-and-play human-interface device, resulting in a truly peripheral biosensor. The operation of the system is fully automated, with minimal user intervention through the detection process. The resolved challenges of the design and implementation are presented in detail in this publication.
Implementation of lesson study in physics teaching by group of teachers in Solok West Sumatera
NASA Astrophysics Data System (ADS)
Yurnetti, Y.
2018-04-01
This article based of collaborative classroom action research with science teachers group or MGMP at Solok West Sumatera; based on their willingness to implementation of lesson study by this group. The study started by discussing some problems according to the implementation of the lesson study, establishing the teaching materials, developing learning tools, defining the model teachers, conducting classroom activities, and reflecting by discussions. The preparation of this study includes some learning material according to temperature and heat; the observation form that led by observer teachers; teachers’s model impression and open questionnaire implementation of lesson study that applied to the students and teachers. This research got some information about the strengths and weaknesses of learning using lesson study from the students involved. To conclude, the implementation of lesson study should be able to support the principle of collaborative in learning. The challenge of this study is how to make a condition to gather some teachers in one school at a certain time because they have the schedule at their own school.
Age group classification and gender detection based on forced expiratory spirometry.
Cosgun, Sema; Ozbek, I Yucel
2015-08-01
This paper investigates the utility of forced expiratory spirometry (FES) test with efficient machine learning algorithms for the purpose of gender detection and age group classification. The proposed method has three main stages: feature extraction, training of the models and detection. In the first stage, some features are extracted from volume-time curve and expiratory flow-volume loop obtained from FES test. In the second stage, the probabilistic models for each gender and age group are constructed by training Gaussian mixture models (GMMs) and Support vector machine (SVM) algorithm. In the final stage, the gender (or age group) of test subject is estimated by using the trained GMM (or SVM) model. Experiments have been evaluated on a large database from 4571 subjects. The experimental results show that average correct classification rate performance of both GMM and SVM methods based on the FES test is more than 99.3 % and 96.8 % for gender and age group classification, respectively.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-05-13
... OFFICE OF PERSONNEL MANAGEMENT Submission for Review: Federal Employees' Group Life Insurance (FEGLI) Implementation Questionnaire for Tribal Employers AGENCY: U.S. Office of Personnel Management. ACTION: 60-Day Notice and request for comments. SUMMARY: The Office of Planning and Policy Analysis...
Variable Discretisation for Anomaly Detection using Bayesian Networks
2017-01-01
UNCLASSIFIED DST- Group –TR–3328 1 Introduction Bayesian network implementations usually require each variable to take on a finite number of mutually...UNCLASSIFIED Variable Discretisation for Anomaly Detection using Bayesian Networks Jonathan Legg National Security and ISR Division Defence Science...and Technology Group DST- Group –TR–3328 ABSTRACT Anomaly detection is the process by which low probability events are automatically found against a
Flemming, Kate; Booth, Andrew; Hannes, Karin; Cargo, Margaret; Noyes, Jane
2018-05-01
To outline contemporary and novel developments for the presentation and reporting of syntheses of qualitative, implementation, and process evaluation evidence and provide recommendations for the use of reporting guidelines. An overview of reporting guidelines for qualitative, implementation, and process evaluation evidence syntheses drawing on current international literature and the collective expert knowledge of the Cochrane Qualitative and Implementation Methods Group. Several reporting guidelines exist that can be used or adapted to report syntheses of qualitative, implementation, and process evaluation evidence. Methods to develop individual guidance varied. The use of a relevant reporting guideline can enhance the transparency, consistency, and quality of reporting. Guidelines that exist are generic, method specific, and for particular aspects of the reviewing process, searching. Caution is expressed over the potential for reporting guidelines to produce a mechanistic approach moving the focus away from the content and toward the procedural aspects of the review. The use of a reporting guideline is recommended and a five-step decision flowchart to guide the choice of reporting guideline is provided. Gaps remain in method-specific reporting guidelines such as mixed-study, implementation, and process evaluation evidence syntheses. Copyright © 2017 Elsevier Inc. All rights reserved.
Nash, Kyle; Baumgartner, Thomas; Knoch, Daria
2017-02-01
Group-focused moral foundations (GMFs) - moral values that help protect the group's welfare - sharply divide conservatives from liberals and religiously devout from non-believers. However, there is little evidence about what drives this divide. Moral foundations theory and the model of motivated social cognition both associate group-focused moral foundations with differences in conflict detection and resolution capacity, but in opposing directions. Individual differences in conflict detection and resolution implicate specific neuroanatomical differences. Examining neuroanatomy thus affords an objective and non-biased opportunity to contrast these influential theories. Here, we report that increased adherence to group-focused moral foundations was strongly associated (whole-brain corrected) with reduced gray matter volume in key regions of the conflict detection and resolution system (anterior cingulate cortex and lateral prefrontal cortex). Because reduced gray matter is reliably associated with reduced neural and cognitive capacity, these findings support the idea outlined in the model of motivated social cognition that belief in group-focused moral values is associated with reduced conflict detection and resolution capacity. Copyright © 2017 Elsevier B.V. All rights reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Heady, R.; Luger, G.F.; Maccabe, A.B.
1991-05-15
This paper presents the implementation of a prototype network level intrusion detection system. The prototype system monitors base level information in network packets (source, destination, packet size, time, and network protocol), learning the normal patterns and announcing anomalies as they occur. The goal of this research is to determine the applicability of current intrusion detection technology to the detection of network level intrusions. In particular, the authors are investigating the possibility of using this technology to detect and react to worm programs.
ERIC Educational Resources Information Center
Springer, David W.; Orsbon, Sarah H.
2002-01-01
In treating a substance-abusing adolescent, the family is a key target of intervention. Multifamily therapy groups (MFTGs) have been used to involve families in treatment and have been found to be effective with a variety of populations. This article provides a theoretical overview of a MFTG model and describes the implementation of the model with…
Evaluation of hardware costs of implementing PSK signal detection circuit based on "system on chip"
NASA Astrophysics Data System (ADS)
Sokolovskiy, A. V.; Dmitriev, D. D.; Veisov, E. A.; Gladyshev, A. B.
2018-05-01
The article deals with the choice of the architecture of digital signal processing units for implementing the PSK signal detection scheme. As an assessment of the effectiveness of architectures, the required number of shift registers and computational processes are used when implementing the "system on a chip" on the chip. A statistical estimation of the normalized code sequence offset in the signal synchronization scheme for various hardware block architectures is used.
Content-Based Covert Group Detection in Social Networks
2017-09-06
these features to learn a model that could be applied to the holdout set. This model was then used to test on the remaining posts . Accuracy: 51.4...Content-based Covert Group Detection in Social Networks The views, opinions and/or findings contained in this report are those of the author(s) and...should not contrued as an official Department of the Army position, policy or decision, unless so designated by other documentation. 9. SPONSORING
Implementing a noise protected logical qubit in methyl groups via microwave irradiation
NASA Astrophysics Data System (ADS)
Annabestani, Razieh; Cory, David G.
2018-02-01
We propose a proof-of-principle experiment to encode one logical qubit in noise protected subspace of three identical spins in a methyl group. The symmetry analysis of the wavefunction shows that this fermionic system exhibits a symmetry correlation between the spatial degree of freedom and the spin degree of freedom. We show that one can use this correlation to populate the noiseless subsystem by relying on the interaction between the electric dipole moment of the methyl group with a circularly polarized microwave field. Logical gates are implemented by controlling both the intensity and phase of the applied field.
NASA Astrophysics Data System (ADS)
Rahman, Nurul Hidayah Ab; Abdullah, Nurul Azma; Hamid, Isredza Rahmi A.; Wen, Chuah Chai; Jelani, Mohamad Shafiqur Rahman Mohd
2017-10-01
Closed-Circuit TV (CCTV) system is one of the technologies in surveillance field to solve the problem of detection and monitoring by providing extra features such as email alert or motion detection. However, detecting and alerting the admin on CCTV system may complicate due to the complexity to integrate the main program with an external Application Programming Interface (API). In this study, pixel processing algorithm is applied due to its efficiency and SMS alert is added as an alternative solution for users who opted out email alert system or have no Internet connection. A CCTV system with SMS alert (CMDSA) was developed using evolutionary prototyping methodology. The system interface was implemented using Microsoft Visual Studio while the backend components, which are database and coding, were implemented on SQLite database and C# programming language, respectively. The main modules of CMDSA are motion detection, capturing and saving video, image processing and Short Message Service (SMS) alert functions. Subsequently, the system is able to reduce the processing time making the detection process become faster, reduce the space and memory used to run the program and alerting the system admin instantly.
NASA Astrophysics Data System (ADS)
Vela, Adan Ernesto
2011-12-01
From 2010 to 2030, the number of instrument flight rules aircraft operations handled by Federal Aviation Administration en route traffic centers is predicted to increase from approximately 39 million flights to 64 million flights. The projected growth in air transportation demand is likely to result in traffic levels that exceed the abilities of the unaided air traffic controller in managing, separating, and providing services to aircraft. Consequently, the Federal Aviation Administration, and other air navigation service providers around the world, are making several efforts to improve the capacity and throughput of existing airspaces. Ultimately, the stated goal of the Federal Aviation Administration is to triple the available capacity of the National Airspace System by 2025. In an effort to satisfy air traffic demand through the increase of airspace capacity, air navigation service providers are considering the inclusion of advisory conflict-detection and resolution systems. In a human-in-the-loop framework, advisory conflict-detection and resolution decision-support tools identify potential conflicts and propose resolution commands for the air traffic controller to verify and issue to aircraft. A number of researchers and air navigation service providers hypothesize that the inclusion of combined conflict-detection and resolution tools into air traffic control systems will reduce or transform controller workload and enable the required increases in airspace capacity. In an effort to understand the potential workload implications of introducing advisory conflict-detection and resolution tools, this thesis provides a detailed study of the conflict event process and the implementation of conflict-detection and resolution algorithms. Specifically, the research presented here examines a metric of controller taskload: how many resolution commands an air traffic controller issues under the guidance of a conflict-detection and resolution decision-support tool. The goal
Ghost detection and removal based on super-pixel grouping in exposure fusion
NASA Astrophysics Data System (ADS)
Jiang, Shenyu; Xu, Zhihai; Li, Qi; Chen, Yueting; Feng, Huajun
2014-09-01
A novel multi-exposure images fusion method for dynamic scenes is proposed. The commonly used techniques for high dynamic range (HDR) imaging are based on the combination of multiple differently exposed images of the same scene. The drawback of these methods is that ghosting artifacts will be introduced into the final HDR image if the scene is not static. In this paper, a super-pixel grouping based method is proposed to detect the ghost in the image sequences. We introduce the zero mean normalized cross correlation (ZNCC) as a measure of similarity between a given exposure image and the reference. The calculation of ZNCC is implemented in super-pixel level, and the super-pixels which have low correlation with the reference are excluded by adjusting the weight maps for fusion. Without any prior information on camera response function or exposure settings, the proposed method generates low dynamic range (LDR) images which can be shown on conventional display devices directly with details preserving and ghost effects reduced. Experimental results show that the proposed method generates high quality images which have less ghost artifacts and provide a better visual quality than previous approaches.
The Effect of Extra Small Group Session during PBL Implementation on Student's Achievement
ERIC Educational Resources Information Center
Khalil, Mahmoud Salah; Al Rukban, Mohammad Othman
2010-01-01
Problem based learning (PBL) started to spread in health professions in Saudi Arabia at the beginning of this century. There are several challenges facing its implementation such as defects on interpersonal communications and self-directed learning. These challenges would affect students' performance in small group discussions and their…
NASA Astrophysics Data System (ADS)
Patton, J.; Yeck, W.; Benz, H.
2017-12-01
The U.S. Geological Survey National Earthquake Information Center (USGS NEIC) is implementing and integrating new signal detection methods such as subspace correlation, continuous beamforming, multi-band picking and automatic phase identification into near-real-time monitoring operations. Leveraging the additional information from these techniques help the NEIC utilize a large and varied network on local to global scales. The NEIC is developing an ordered, rapid, robust, and decentralized framework for distributing seismic detection data as well as a set of formalized formatting standards. These frameworks and standards enable the NEIC to implement a seismic event detection framework that supports basic tasks, including automatic arrival time picking, social media based event detections, and automatic association of different seismic detection data into seismic earthquake events. In addition, this framework enables retrospective detection processing such as automated S-wave arrival time picking given a detected event, discrimination and classification of detected events by type, back-azimuth and slowness calculations, and ensuring aftershock and induced sequence detection completeness. These processes and infrastructure improve the NEIC's capabilities, accuracy, and speed of response. In addition, this same infrastructure provides an improved and convenient structure to support access to automatic detection data for both research and algorithmic development.
Ridder, Hans-Gerd; Doege, Vanessa; Martini, Susanne
2007-12-01
This article aims to examine the implementation process of diagnosis-related groups (DRGs) in the clinical departments of a German hospital group and to explain why some gain competitive advantage while others do not. To investigate this research question, we conducted a qualitative study based on primary data obtained in six clinical departments in a German hospital group between 2003 and 2005. We chose the case study method in order to gain deep insights into the process dynamics of the implementation of DRGs in the six clinical departments. The dynamic capability approach is used as a theoretical foundation. Employing theory-driven categories we focused on idiosyncratic and common patterns of "successful coders" and "unsuccessful coders." To observe the implementation process of DRGs, we conducted 43 semistructured interviews with key persons, carried out direct observations of the monthly meetings of the DRG project group, and sampled written materials. "Successful coders" invest into change resources, demonstrate a high level of acceptance of innovations, and organize effective processes of coordination and learning. All clinical departments only put an emphasis on the coding aspects of the DRGs. There is a lack of vision regarding the optimization of patient treatment processes and specialization. Physicians are the most important key actors, rather than the main barriers.
NASA Technical Reports Server (NTRS)
Ferell, Bob; Lewis, Mark; Perotti, Jose; Oostdyk, Rebecca; Goerz, Jesse; Brown, Barbara
2010-01-01
This paper's main purpose is to detail issues and lessons learned regarding designing, integrating, and implementing Fault Detection Isolation and Recovery (FDIR) for Constellation Exploration Program (CxP) Ground Operations at Kennedy Space Center (KSC).
Vibrational Detection of Odorant Functional Groups by Drosophila melanogaster
Maniati, Klio; Haralambous, Katherine-Joanne
2017-01-01
Abstract A remarkable feature of olfaction, and perhaps the hardest one to explain by shape-based molecular recognition, is the ability to detect the presence of functional groups in odorants, irrespective of molecular context. We previously showed that Drosophila trained to avoid deuterated odorants could respond to a molecule bearing a nitrile group, which shares the vibrational stretch frequency with the CD bond. Here, we reproduce and extend this finding by showing analogous olfactory responses of Drosophila to the chemically vastly different functional groups, thiols and boranes, that nevertheless possess a common vibration at 2600 cm−1. Furthermore, we show that Drosophila do not respond to a cyanohydrin structure that renders nitrile groups invisible to IR spectroscopy. We argue that the response of Drosophila to these odorants which parallels their perception in humans, supports the hypothesis that odor character is encoded in odorant molecular vibrations, not in the specific shape-based activation pattern of receptors. PMID:29094064
Implementation of a custom time-domain firmware trigger for RADAR-based cosmic ray detection
NASA Astrophysics Data System (ADS)
Prohira, S.; Besson, D.; Kunwar, S.; Ratzlaff, K.; Young, R.
2018-05-01
Interest in Radio-based detection schemes for ultra-high energy cosmic rays (UHECR) has surged in recent years, owing to the potentially very low cost/detection ratio. The method of radio-frequency (RF) scatter has been proposed as potentially the most economical detection technology. Though the first dedicated experiment to employ this method, the Telescope Array RADAR experiment (TARA) reported no signal, efforts to develop more robust and sensitive trigger techniques continue. This paper details the development of a time-domain firmware trigger that exploits characteristics of the expected scattered signal from an UHECR extensive-air shower (EAS). The improved sensitivity of this trigger is discussed, as well as implementation in two separate field deployments from 2016 to 2017.
Implementation of molecularly imprinted polymer beads for surface enhanced Raman detection.
Kamra, Tripta; Zhou, Tongchang; Montelius, Lars; Schnadt, Joachim; Ye, Lei
2015-01-01
Molecularly imprinted polymers (MIPs) have a predesigned molecular recognition capability that can be used to build robust chemical sensors. MIP-based chemical sensors allow label-free detection and are particularly interesting due to their simple operation. In this work we report the use of thiol-terminated MIP microspheres to construct surfaces for detection of a model organic analyte, nicotine, by surface enhanced Raman scattering (SERS). The nicotine-imprinted microspheres are synthesized by RAFT precipitation polymerization and converted into thiol-terminated microspheres through aminolysis. The thiol groups on the MIP surface allow the microspheres to be immobilized on a gold-coated substrate. Three different strategies are investigated to achieve surface enhanced Raman scattering in the vicinity of the imprinted sites: (1) direct sputtering of gold nanoparticles, (2) immobilization of gold colloids through the MIP's thiol groups, and (3) trapping of the MIP microspheres in a patterned SERS substrate. For the first time we show that large MIP microspheres can be turned into selective SERS surfaces through the three different approaches of assembly. The MIP-based sensing surfaces are used to detect nicotine to demonstrate the proof of concept. As synthesis and surface functionalization of MIP microspheres and nanoparticles are well established, the methods reported in this work are handy and efficient for constructing label-free chemical sensors, in particular for those based on SERS detection.
Mathes, Robert W; Lall, Ramona; Levin-Rector, Alison; Sell, Jessica; Paladini, Marc; Konty, Kevin J; Olson, Don; Weiss, Don
2017-01-01
The New York City Department of Health and Mental Hygiene has operated an emergency department syndromic surveillance system since 2001, using temporal and spatial scan statistics run on a daily basis for cluster detection. Since the system was originally implemented, a number of new methods have been proposed for use in cluster detection. We evaluated six temporal and four spatial/spatio-temporal detection methods using syndromic surveillance data spiked with simulated injections. The algorithms were compared on several metrics, including sensitivity, specificity, positive predictive value, coherence, and timeliness. We also evaluated each method's implementation, programming time, run time, and the ease of use. Among the temporal methods, at a set specificity of 95%, a Holt-Winters exponential smoother performed the best, detecting 19% of the simulated injects across all shapes and sizes, followed by an autoregressive moving average model (16%), a generalized linear model (15%), a modified version of the Early Aberration Reporting System's C2 algorithm (13%), a temporal scan statistic (11%), and a cumulative sum control chart (<2%). Of the spatial/spatio-temporal methods we tested, a spatial scan statistic detected 3% of all injects, a Bayes regression found 2%, and a generalized linear mixed model and a space-time permutation scan statistic detected none at a specificity of 95%. Positive predictive value was low (<7%) for all methods. Overall, the detection methods we tested did not perform well in identifying the temporal and spatial clusters of cases in the inject dataset. The spatial scan statistic, our current method for spatial cluster detection, performed slightly better than the other tested methods across different inject magnitudes and types. Furthermore, we found the scan statistics, as applied in the SaTScan software package, to be the easiest to program and implement for daily data analysis.
Lall, Ramona; Levin-Rector, Alison; Sell, Jessica; Paladini, Marc; Konty, Kevin J.; Olson, Don; Weiss, Don
2017-01-01
The New York City Department of Health and Mental Hygiene has operated an emergency department syndromic surveillance system since 2001, using temporal and spatial scan statistics run on a daily basis for cluster detection. Since the system was originally implemented, a number of new methods have been proposed for use in cluster detection. We evaluated six temporal and four spatial/spatio-temporal detection methods using syndromic surveillance data spiked with simulated injections. The algorithms were compared on several metrics, including sensitivity, specificity, positive predictive value, coherence, and timeliness. We also evaluated each method’s implementation, programming time, run time, and the ease of use. Among the temporal methods, at a set specificity of 95%, a Holt-Winters exponential smoother performed the best, detecting 19% of the simulated injects across all shapes and sizes, followed by an autoregressive moving average model (16%), a generalized linear model (15%), a modified version of the Early Aberration Reporting System’s C2 algorithm (13%), a temporal scan statistic (11%), and a cumulative sum control chart (<2%). Of the spatial/spatio-temporal methods we tested, a spatial scan statistic detected 3% of all injects, a Bayes regression found 2%, and a generalized linear mixed model and a space-time permutation scan statistic detected none at a specificity of 95%. Positive predictive value was low (<7%) for all methods. Overall, the detection methods we tested did not perform well in identifying the temporal and spatial clusters of cases in the inject dataset. The spatial scan statistic, our current method for spatial cluster detection, performed slightly better than the other tested methods across different inject magnitudes and types. Furthermore, we found the scan statistics, as applied in the SaTScan software package, to be the easiest to program and implement for daily data analysis. PMID:28886112
Ridder, Hans-Gerd; Doege, Vanessa; Martini, Susanne
2007-01-01
Objective This article aims to examine the implementation process of diagnosis-related groups (DRGs) in the clinical departments of a German hospital group and to explain why some gain competitive advantage while others do not. Study Setting To investigate this research question, we conducted a qualitative study based on primary data obtained in six clinical departments in a German hospital group between 2003 and 2005. Study Design We chose the case study method in order to gain deep insights into the process dynamics of the implementation of DRGs in the six clinical departments. The dynamic capability approach is used as a theoretical foundation. Employing theory-driven categories we focused on idiosyncratic and common patterns of “successful coders” and “unsuccessful coders.” Data Collection To observe the implementation process of DRGs, we conducted 43 semistructured interviews with key persons, carried out direct observations of the monthly meetings of the DRG project group, and sampled written materials. Principal Findings “Successful coders” invest into change resources, demonstrate a high level of acceptance of innovations, and organize effective processes of coordination and learning. Conclusions All clinical departments only put an emphasis on the coding aspects of the DRGs. There is a lack of vision regarding the optimization of patient treatment processes and specialization. Physicians are the most important key actors, rather than the main barriers. PMID:17995556
Implementation of multifamily group treatment for veterans with traumatic brain injury.
Perlick, Deborah A; Straits-Troster, Kristy; Strauss, Jennifer L; Norell, Diane; Tupler, Larry A; Levine, Bruce; Luo, Xiaodong; Holman, Caroline; Marcus, Tara; Dixon, Lisa B; Dyck, Dennis G
2013-06-01
This study evaluated the initial efficacy and feasibility of implementing multifamily group treatment for veterans with traumatic brain injury (TBI). Veterans at two Veterans Affairs medical centers were prescreened by their providers for participation in an open trial of multifamily group treatment for TBI. Enrollment was limited to consenting veterans with a clinical diagnosis of TBI sustained during the Operation Enduring Freedom-Operation Iraqi Freedom era, a family member or partner consenting to participate, and a score ≥20 on the Mini-Mental State Examination. The nine-month (April 2010-March 2011) trial consisted of individual family sessions, an educational workshop, and bimonthly multifamily problem-solving sessions. Interpersonal functioning and symptomatic distress among veterans and family burden, empowerment, and symptomatic distress among families were assessed before and after treatment. Providers referred 34 (58%) of 59 veterans screened for the study; of those, 14 (41%) met criteria and consented to participate, and 11 (32%) completed the study. Severity of TBI, insufficient knowledge about the benefits of family involvement, and access problems influenced decisions to exclude veterans or refuse to participate. Treatment was associated with decreased veteran anger expression (p≤.01) and increased social support and occupational activity (p≤.05), with effect sizes ranging from .6 to 1.0. Caregivers reported decreased burden (p≤.05) and increased empowerment (p≤.01). The results supported implementation of a randomized controlled trial, building in education at the provider and family level.
Goedendorp, Martine M; Kuiper, Daphne; Reijneveld, Sijmen A; Sanderman, Robbert; Steverink, Nardi
2017-06-01
The Self-Management of Well-being (SMW) group intervention for older women was implemented in health and social care. Our aim was to assess whether effects of the SMW intervention were comparable with the original randomized controlled trial (RCT). Furthermore, we investigated threats to effectiveness, such as participant adherence, group reached, and program fidelity. In the implementation study (IMP) 287 and RCT 142 women participated. We compared scores on self-management ability and well-being of the IMP and RCT. For adherence, drop-out rates and session attendance were compared. Regarding reach, we compared participants' baseline characteristics. Professionals completed questions regarding program fidelity. No significant differences were found on effect outcomes and adherence between IMP and RCT (all p≥0.135). Intervention effect sizes were equal (0.47-0.59). IMP participants were significantly less lonely and more likely to be married, but had lower well-being. Most professionals followed the protocol, with only minimal deviations. The effectiveness of the SMW group intervention was reproduced after implementation, with similar participant adherence, minimal changes in the group reached, and high program fidelity. The SMW group intervention can be transferred to health and social care without loss of effectiveness. Implementation at a larger scale is warranted. Copyright © 2017 Elsevier B.V. All rights reserved.
Development and implementation of a balanced scorecard in an academic hospitalist group.
Hwa, Michael; Sharpe, Bradley A; Wachter, Robert M
2013-03-01
Academic hospitalist groups (AHGs) are often expected to excel in multiple domains: quality improvement, patient safety, education, research, administration, and clinical care. To be successful, AHGs must develop strategies to balance their energies, resources, and performance. The balanced scorecard (BSC) is a strategic management system that enables organizations to translate their mission and vision into specific objectives and metrics across multiple domains. To date, no hospitalist group has reported on BSC implementation. We set out to develop a BSC as part of a strategic planning initiative. Based on a needs assessment of the University of California, San Francisco, Division of Hospital Medicine, mission and vision statements were developed. We engaged representative faculty to develop strategic objectives and determine performance metrics across 4 BSC perspectives. There were 41 metrics identified, and 16 were chosen for the initial BSC. It allowed us to achieve several goals: 1) present a broad view of performance, 2) create transparency and accountability, 3) communicate goals and engage faculty, and 4) ensure we use data to guide strategic decisions. Several lessons were learned, including the need to build faculty consensus, establish metrics with reliable measureable data, and the power of the BSC to drive goals across the division. We successfully developed and implemented a BSC in an AHG as part of a strategic planning initiative. The BSC has been instrumental in allowing us to achieve balanced success in multiple domains. Academic groups should consider employing the BSC as it allows for a data-driven strategic planning and assessment process. Copyright © 2013 Society of Hospital Medicine.
NASA Astrophysics Data System (ADS)
Luo, Aiwen; An, Fengwei; Zhang, Xiangyu; Chen, Lei; Huang, Zunkai; Jürgen Mattausch, Hans
2018-04-01
Feature extraction techniques are a cornerstone of object detection in computer-vision-based applications. The detection performance of vison-based detection systems is often degraded by, e.g., changes in the illumination intensity of the light source, foreground-background contrast variations or automatic gain control from the camera. In order to avoid such degradation effects, we present a block-based L1-norm-circuit architecture which is configurable for different image-cell sizes, cell-based feature descriptors and image resolutions according to customization parameters from the circuit input. The incorporated flexibility in both the image resolution and the cell size for multi-scale image pyramids leads to lower computational complexity and power consumption. Additionally, an object-detection prototype for performance evaluation in 65 nm CMOS implements the proposed L1-norm circuit together with a histogram of oriented gradients (HOG) descriptor and a support vector machine (SVM) classifier. The proposed parallel architecture with high hardware efficiency enables real-time processing, high detection robustness, small chip-core area as well as low power consumption for multi-scale object detection.
Implementation of a near real-time burned area detection algorithm calibrated for VIIRS imagery
Brenna Schwert; Carl Albury; Jess Clark; Abigail Schaaf; Shawn Urbanski; Bryce Nordgren
2016-01-01
There is a need to implement methods for rapid burned area detection using a suitable replacement for Moderate Resolution Imaging Spectroradiometer (MODIS) imagery to meet future mapping and monitoring needs (Roy and Boschetti 2009, Tucker and Yager 2011). The Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the Suomi-National Polar-orbiting Partnership...
Urayama, Shiro
2015-01-01
Pancreatic ductal adenocarcinoma (PDAC) is the fourth and fifth leading cause of cancer death for each gender in developed countries. With lack of effective treatment and screening scheme available for the general population, the mortality rate is expected to increase over the next several decades in contrast to the other major malignancies such as lung, breast, prostate and colorectal cancers. Endoscopic ultrasound, with its highest level of detection capacity of smaller pancreatic lesions, is the commonly employed and preferred clinical imaging-based PDAC detection method. Various molecular biomarkers have been investigated for characterization of the disease, but none are shown to be useful or validated for clinical utilization for early detection. As seen from studies of a small subset of familial or genetically high-risk PDAC groups, the higher yield and utility of imaging-based screening methods are demonstrated for these groups. Multiple recent studies on the unique cancer metabolism including PDAC, demonstrate the potential for utility of the metabolites as the discriminant markers for this disease. In order to generate an early PDAC detection screening strategy available for a wider population, we propose to expand the population of higher risk PDAC group with combination clinical and metabolomics parameters. PMID:25684935
NASA Technical Reports Server (NTRS)
Delaat, J. C.; Merrill, W. C.
1983-01-01
A sensor failure detection, isolation, and accommodation algorithm was developed which incorporates analytic sensor redundancy through software. This algorithm was implemented in a high level language on a microprocessor based controls computer. Parallel processing and state-of-the-art 16-bit microprocessors are used along with efficient programming practices to achieve real-time operation.
Barradas, Patrícia F; Vilhena, Hugo; Oliveira, Ana Cristina; Granada, Sara; Amorim, Irina; Ferreira, Paula; Cardoso, Luís; Gärtner, Fátima; de Sousa, Rita
2017-05-31
Infections with tick-borne rickettsiae can cause diseases well known in humans but still not so well characterized in dogs. Susceptibility to infection depends on the virulence of Rickettsia spp. and only a few of them have been described to cause disease in dogs. The aim of this study was to investigate the exposure to Rickettsia spp. among a group of pet dogs from Luanda, Angola. Out of 103 dogs included in the study, 62 (60.2%) were infested with ticks. Plasma specimens tested for serology by an immunofluorescence assay (IFA) revealed that six (5.8%) dogs had detectable immunoglobulin G (IgG) antibodies to spotted fever group Rickettsia (SFGR), with endpoint titers of 64 for two dogs, 128 for three dogs and 1024 for one dog. From the seropositive group of dogs, five (83%) of them were males, with their age ranging from 1 to 8 years old. Among the seropositive dogs, four (66.7%) were parasitized with ticks and no breed (or cross) was found to be associated with specific antibodies. Rickettsia spp. DNA was detected by nested-polymerase chain reaction (PCR) in two (1.9%) dogs that were found to be seronegative. Seroprevalence and molecular detection of Rickettsia spp. infection in this group of pet dogs from Luanda is low compared with other studies performed in the same type of hosts in other areas. Although many dogs were parasitized with ticks, a low prevalence of Rickettsia spp. could be related with the hypothesis of a low rickettsial prevalence in the infesting ticks. This study provides evidence that dogs in Luanda are exposed to Rickettsia spp., but further studies are needed to better characterize the bacterial infections in dogs and in their ectoparasites.
2008-03-01
CONTRACT NUMBER Detection and Evaluation of Early Breast Cancer via Magnetic Resonance Imaging: Studies of Mouse Models and Clinical Implementation...research proposed here can directly lead to clinical improvements in both early breast cancer detection, as well as effective breast cancer therapy. To date... cancer is a major prognostic factor in the management of the disease. In particular, detecting breast cancer in its pre-invasive form as ductal carcinoma
Edge grouping combining boundary and region information.
Stahl, Joachim S; Wang, Song
2007-10-01
This paper introduces a new edge-grouping method to detect perceptually salient structures in noisy images. Specifically, we define a new grouping cost function in a ratio form, where the numerator measures the boundary proximity of the resulting structure and the denominator measures the area of the resulting structure. This area term introduces a preference towards detecting larger-size structures and, therefore, makes the resulting edge grouping more robust to image noise. To find the optimal edge grouping with the minimum grouping cost, we develop a special graph model with two different kinds of edges and then reduce the grouping problem to finding a special kind of cycle in this graph with a minimum cost in ratio form. This optimal cycle-finding problem can be solved in polynomial time by a previously developed graph algorithm. We implement this edge-grouping method, test it on both synthetic data and real images, and compare its performance against several available edge-grouping and edge-linking methods. Furthermore, we discuss several extensions of the proposed method, including the incorporation of the well-known grouping cues of continuity and intensity homogeneity, introducing a factor to balance the contributions from the boundary and region information, and the prevention of detecting self-intersecting boundaries.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-07-03
...-02] RIN 0694-AF76 Implementation of the Understandings Reached at the 2012 Australia Group (AG) Plenary Meeting and the 2012 AG Intersessional Decisions; Changes to Select Agent Controls--Correction... understandings reached at the June 2012 plenary meeting of the Australia Group (AG) and the 2012 AG...
NASA Astrophysics Data System (ADS)
Grath, Johannes; Ward, Rob; Hall, Anna
2013-04-01
At the European level, the basic elements for groundwater management and protection are laid down in the Water Framework Directive (WFD) (2000/60/EC) and the Groundwater Daughter Directive (2006/118/EC). EU Member States, Norway and the European Commission (EC) have jointly developed a common strategy for supporting the implementation of the WFD. The main aim of this Common Implementation Strategy (CIS) is to ensure the coherent and harmonious implementation of the directives through the clarification of a number of methodological questions enabling a common understanding to be reached on the technical and scientific implications of the WFD (European Communities, 2008). Groundwater specific issues are dealt with in Working Group C Groundwater. Members of the working group are experts nominated by Member states, Norway, Switzerland and Accession Countries (from administrative bodies, research institutes, …) and representatives from relevant stakeholders and NGOs. Working Group C Groundwater has produced numerous guidance documents and technical reports that have been endorsed by EU Water Directors to support and enable Member States to implement the directives. All the documents are published by the EC. Access is available via the following link: http://ec.europa.eu/environment/water/water-framework/groundwater/activities.htm Having addressed implementations issues during the 1st river basin planning cycle, WG C Groundwater is currently focussing on the following issues: groundwater dependent ecosystems, and climate change and groundwater. In the future, the outcome and recommendations of the "Blueprint" - to safeguard Europe's water resources - which was recently published by the EC will be of utmost importance in setting the agenda for the group. Most likely this will include water pricing, water demand management and water abstraction. Complementory to the particular working groups, a Science Policy Interface (SPI) activity has been established. Its purpose is
An Exploration of Fidelity of Implementation in Drug Abuse Prevention among Five Professional Groups
ERIC Educational Resources Information Center
Dusenbury, Linda; Brannigan, Rosalind; Falco, Mathea; Lake, Antonia
2004-01-01
To explore the extent of awareness among practitioners of the importance of fidelity of implementation and the factors that inhibit or encourage it, interviews were conducted with nine individuals in each of the following groups: 1) researchers who have developed and evaluated prevention curricula; 3) school administrators; 4) teachers; and 5)…
Implementation of the NEAMTWS in Portugal
NASA Astrophysics Data System (ADS)
Matias, L. M.; Annunziato, A.; Carrilho, F.; Baptista, M.
2008-12-01
In this paper we present the ongoing implementation of a national tsunami warning system in Portugal. After the Sumatra event in December 2004, the UNESCO, through its International Oceanographic Commission, recognized the need for an end to end global tsunami warning system and International Coordination Groups have been established for different areas around the globe: Indian, Caribbean, Atlantic and Mediterranean ocean basins. This system is the natural response to the historical and recent instrumental events generated along the western segment of the Eurasia and Nubian plates, which eastern end corresponds to the Gulf of Cadiz. The TWS includes three main components: the seismic detection, the tsunami detection and the issue of warnings/alerts. In Portugal the automatic earthquake processing is installed at IM (Instituto de Meteorologia) which is the only national institution operating on a 24x7 basis. This makes IM the natural candidate to host the Portuguese tsunami warning system. The TWS under implementation has several key points: definition of the tsunami scenarios, tsunami detection, and tsunami protocol messages. The system will also be able to predict tsunami potential impact along the coast, wave-heights and arrival times at pre-defined locations along the coast. In this study we present the recent results on definition of tsunami scenarios, establishment of the scenario database and the tsunami analysis tool. This work is a joint effort between Instituto de Meteorologia (Portugal), the Joint Research Center, JRC- ISPRA, Italy and the coordination of the Portuguese Group for the implementation of NEAMTWS in the area. This work has been financed by different European projects as NEAREST and TRANSFER, and also by the JRC, the IM and CGUL/IDL institutions.
Towards the implementation of a spectral database for the detection of biological warfare agents
NASA Astrophysics Data System (ADS)
Carestia, M.; Pizzoferrato, R.; Gelfusa, M.; Cenciarelli, O.; D'Amico, F.; Malizia, A.; Scarpellini, D.; Murari, A.; Vega, J.; Gaudio, P.
2014-10-01
The deliberate use of biological warfare agents (BWA) and other pathogens can jeopardize the safety of population, fauna and flora, and represents a concrete concern from the military and civil perspective. At present, the only commercially available tools for fast warning of a biological attack can perform point detection and require active or passive sampling collection. The development of a stand-off detection system would be extremely valuable to minimize the risk and the possible consequences of the release of biological aerosols in the atmosphere. Biological samples can be analyzed by means of several optical techniques, covering a broad region of the electromagnetic spectrum. Strong evidence proved that the informative content of fluorescence spectra could provide good preliminary discrimination among those agents and it can also be obtained through stand-off measurements. Such a system necessitates a database and a mathematical method for the discrimination of the spectral signatures. In this work, we collected fluorescence emission spectra of the main BWA simulants, to implement a spectral signature database and apply the Universal Multi Event Locator (UMEL) statistical method. Our preliminary analysis, conducted in laboratory conditions with a standard UV lamp source, considers the main experimental setups influencing the fluorescence signature of some of the most commonly used BWA simulants. Our work represents a first step towards the implementation of a spectral database and a laser-based biological stand-off detection and identification technique.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-07-02
... June 2011 plenary meeting of the Australia Group (AG). This rule amends the Commerce Control List (CCL) entry in the EAR that controls human and zoonotic pathogens and ``toxins'' and the entry that controls...-03] RIN 0694-AF45 Implementation of the Understandings Reached at the 2011 Australia Group (AG...
Topological color codes on Union Jack lattices: a stable implementation of the whole Clifford group
DOE Office of Scientific and Technical Information (OSTI.GOV)
Katzgraber, Helmut G.; Theoretische Physik, ETH Zurich, CH-8093 Zurich; Bombin, H.
We study the error threshold of topological color codes on Union Jack lattices that allow for the full implementation of the whole Clifford group of quantum gates. After mapping the error-correction process onto a statistical mechanical random three-body Ising model on a Union Jack lattice, we compute its phase diagram in the temperature-disorder plane using Monte Carlo simulations. Surprisingly, topological color codes on Union Jack lattices have a similar error stability to color codes on triangular lattices, as well as to the Kitaev toric code. The enhanced computational capabilities of the topological color codes on Union Jack lattices with respectmore » to triangular lattices and the toric code combined with the inherent robustness of this implementation show good prospects for future stable quantum computer implementations.« less
NASA Astrophysics Data System (ADS)
Nemes, Csaba; Barcza, Gergely; Nagy, Zoltán; Legeza, Örs; Szolgay, Péter
2014-06-01
In the numerical analysis of strongly correlated quantum lattice models one of the leading algorithms developed to balance the size of the effective Hilbert space and the accuracy of the simulation is the density matrix renormalization group (DMRG) algorithm, in which the run-time is dominated by the iterative diagonalization of the Hamilton operator. As the most time-dominant step of the diagonalization can be expressed as a list of dense matrix operations, the DMRG is an appealing candidate to fully utilize the computing power residing in novel kilo-processor architectures. In the paper a smart hybrid CPU-GPU implementation is presented, which exploits the power of both CPU and GPU and tolerates problems exceeding the GPU memory size. Furthermore, a new CUDA kernel has been designed for asymmetric matrix-vector multiplication to accelerate the rest of the diagonalization. Besides the evaluation of the GPU implementation, the practical limits of an FPGA implementation are also discussed.
About the Prostate and Urologic Cancer Research Group | Division of Cancer Prevention
The Prostate and Urologic Cancer Research Group conducts and supports research on prostate and bladder cancers, and new approaches to clinical prevention studies including cancer immunoprevention. The group develops, implements and monitors research efforts in chemoprevention, nutrition, genetic, and immunologic interventions, screening, early detection and other prevention
Frattaroli, Shannon; McDonald, Eileen M; Tran, Nhan T; Trump, Alison R; OʼBrocki, Raymond C; Gielen, Andrea C
2012-01-01
Smoke alarm canvassing is recognized as an empirically based, effective intervention for increasing access to and the presence of smoke alarms in homes. We sought to inform the implementation of an intervention designed to enhance an existing fire department smoke alarm canvassing program through an empirically grounded, participatory process. We conducted a series of focus groups with fire union leaders and firefighters involved with the canvassing program in 1 US city, shared the results with the participants, and presented the resulting recommendations to fire department leadership. This research occurred in Baltimore, Maryland. Focus group participants included firefighters who participate in the Fire Department's smoke alarm canvassing program and representatives from the local firefighters' union. The focus groups sought to capture firefighters' experiences with and opinions about the canvassing program and how to improve it as well as challenges to canvassing work. We conducted 10 focus groups with 65 participants. Firefighters' perspectives on the canvassing program and their recommendations for improving it were expressed through 3 categories of themes concerning program management, canvassing challenges, and attitudes about the program and the community. We also discuss the process of presenting these findings and recommendations to the participants and the fire department leadership, and describe how implementation of some of the recommendations has progressed. Both the process and outcomes of this formative work inform how to develop and implement community-based public health interventions in real-world settings through academic-community partnerships. The findings also have implications for how canvassing programs are being implemented.
2016-04-05
applications in wireless networks such as military battlefields, emergency response, mobile commerce , online gaming, and collaborative work are based on the...www.elsevier.com/locate/peva Performance analysis of hierarchical group key management integrated with adaptive intrusion detection in mobile ad hoc...Accepted 19 September 2010 Available online 26 September 2010 Keywords: Mobile ad hoc networks Intrusion detection Group communication systems Group
Rhesus monkeys (Macaca mulatta) detect rhythmic groups in music, but not the beat.
Honing, Henkjan; Merchant, Hugo; Háden, Gábor P; Prado, Luis; Bartolo, Ramón
2012-01-01
It was recently shown that rhythmic entrainment, long considered a human-specific mechanism, can be demonstrated in a selected group of bird species, and, somewhat surprisingly, not in more closely related species such as nonhuman primates. This observation supports the vocal learning hypothesis that suggests rhythmic entrainment to be a by-product of the vocal learning mechanisms that are shared by several bird and mammal species, including humans, but that are only weakly developed, or missing entirely, in nonhuman primates. To test this hypothesis we measured auditory event-related potentials (ERPs) in two rhesus monkeys (Macaca mulatta), probing a well-documented component in humans, the mismatch negativity (MMN) to study rhythmic expectation. We demonstrate for the first time in rhesus monkeys that, in response to infrequent deviants in pitch that were presented in a continuous sound stream using an oddball paradigm, a comparable ERP component can be detected with negative deflections in early latencies (Experiment 1). Subsequently we tested whether rhesus monkeys can detect gaps (omissions at random positions in the sound stream; Experiment 2) and, using more complex stimuli, also the beat (omissions at the first position of a musical unit, i.e. the 'downbeat'; Experiment 3). In contrast to what has been shown in human adults and newborns (using identical stimuli and experimental paradigm), the results suggest that rhesus monkeys are not able to detect the beat in music. These findings are in support of the hypothesis that beat induction (the cognitive mechanism that supports the perception of a regular pulse from a varying rhythm) is species-specific and absent in nonhuman primates. In addition, the findings support the auditory timing dissociation hypothesis, with rhesus monkeys being sensitive to rhythmic grouping (detecting the start of a rhythmic group), but not to the induced beat (detecting a regularity from a varying rhythm).
ERIC Educational Resources Information Center
Guth, Lorraine J.; Lorelle, Sonya; Hinkle, J. Scott; Remley, Theodore P.
2015-01-01
This article highlights the development and implementation of an international counseling outreach program in Bhutan using a group stage conceptualization that includes the initial, transition, working, and final stages. The initial stage included a counseling initiative started by one of the queens as well as meetings with key leaders from the…
Castellano-Filho, Didier Silveira; da Silva, Vânia Lúcia; Nascimento, Thiago César; de Toledo Vieira, Marcel; Diniz, Cláudio Galuppo
2010-01-01
Group B Streptococcus (GBS) is still not routinely screened during pregnancy in Brazil, being prophylaxis and empirical treatment based on identification of risk groups. This study aimed to investigate GBS prevalence in Brazilian pregnant women by culture or polymerase chain reaction (PCR) associated to the enrichment culture, and to determine the antimicrobial susceptibility patterns of isolated bacteria, so as to support public health policies and empirical prophylaxis. After an epidemiological survey, vaginal and anorectal specimens were collected from 221 consenting laboring women. Each sample was submitted to enrichment culture and sheep blood agar was used to isolate suggestive GBS. Alternatively, specific PCR was performed from enrichment cultures. Antimicrobial susceptibility patterns were determined for isolated bacteria by agar diffusion method. No risk groups were identified. Considering the culture-based methodology, GBS was detected in 9.5% of the donors. Twenty five bacterial strains were isolated and identified. Through the culture-PCR methodology, GBS was detected in 32.6% specimens. Bacterial resistance was not detected against ampicillin, cephazolin, vancomycin and ciprofloxacin, whereas 22.7% were resistant to erythromycin and 50% were resistant to clindamycin. GBS detection may be improved by the association of PCR and enrichment culture. Considering that colony selection in agar plates may be laboring and technician-dependent, it may not reflect the real prevalence of streptococci. As in Brazil prevention strategies to reduce the GBS associated diseases have not been adopted, prospective studies are needed to anchor public health policies especially considering the regional GBS antimicrobial susceptibility patterns. PMID:24031585
Blackout detection as a multiobjective optimization problem.
Chaudhary, A M; Trachtenberg, E A
1991-01-01
We study new fast computational procedures for a pilot blackout (total loss of vision) detection in real time. Their validity is demonstrated by data acquired during experiments with volunteer pilots on a human centrifuge. A new systematic class of very fast suboptimal group filters is employed. The utilization of various inherent group invariancies of signals involved allows us to solve the detection problem via estimation with respect to many performance criteria. The complexity of the procedures in terms of the number of computer operations required for their implementation is investigated. Various classes of such prediction procedures are investigated, analyzed and trade offs are established. Also we investigated the validity of suboptimal filtering using different group filters for different performance criteria, namely: the number of false detections, the number of missed detections, the accuracy of detection and the closeness of all procedures to a certain bench mark technique in terms of dispersion squared (mean square error). The results are compared to recent studies of detection of evoked potentials using estimation. The group filters compare favorably with conventional techniques in many cases with respect to the above mentioned criteria. Their main advantage is the fast computational processing.
Implementing Kanban for agile process management within the ALMA Software Operations Group
NASA Astrophysics Data System (ADS)
Reveco, Johnny; Mora, Matias; Shen, Tzu-Chiang; Soto, Ruben; Sepulveda, Jorge; Ibsen, Jorge
2014-07-01
After the inauguration of the Atacama Large Millimeter/submillimeter Array (ALMA), the Software Operations Group in Chile has refocused its objectives to: (1) providing software support to tasks related to System Integration, Scientific Commissioning and Verification, as well as Early Science observations; (2) testing the remaining software features, still under development by the Integrated Computing Team across the world; and (3) designing and developing processes to optimize and increase the level of automation of operational tasks. Due to their different stakeholders, each of these tasks presents a wide diversity of importances, lifespans and complexities. Aiming to provide the proper priority and traceability for every task without stressing our engineers, we introduced the Kanban methodology in our processes in order to balance the demand on the team against the throughput of the delivered work. The aim of this paper is to share experiences gained during the implementation of Kanban in our processes, describing the difficulties we have found, solutions and adaptations that led us to our current but still evolving implementation, which has greatly improved our throughput, prioritization and problem traceability.
Naslund, John A; Dionne-Odom, Jodie; Junior Destiné, Cléonas; Jogerst, Kristen M; Renold Sénécharles, Redouin; Jean Louis, Michelande; Desir, Jasmin; Néptune Ledan, Yvette; Beauséjour, Jude Ronald; Charles, Roland; Werbel, Alice; Talbot, Elizabeth A; Joseph, Patrice; Pape, Jean William; Wright, Peter F
2014-01-01
Objective. In Mozambique, a patient-led Community ART Group model developed by Médecins Sans Frontières improved retention in care and adherence to antiretroviral therapy (ART) among persons with HIV. We describe the adaptation and implementation of this model within the HIV clinic located in the largest public hospital in Haiti's Southern Department. Methods. Our adapted model was named Group of 6. Hospital staff enabled stable patients with HIV receiving ART to form community groups with 4-6 members to facilitate monthly ART distribution, track progress and adherence, and provide support. Implementation outcomes included recruitment success, participant retention, group completion of monthly monitoring forms, and satisfaction surveys. Results. Over one year, 80 patients from nine communities enrolled into 15 groups. Six participants left to receive HIV care elsewhere, two moved away, and one died of a non-HIV condition. Group members successfully completed monthly ART distribution and returned 85.6% of the monthly monitoring forms. Members reported that Group of 6 made their HIV management easier and hospital staff reported that it reduced their workload. Conclusions. We report successful adaptation and implementation of a validated community HIV-care model in Southern Haiti. Group of 6 can reduce barriers to ART adherence, and will be integrated as a routine care option.
Lüngen, M; Rath, T; Schwartze, D; Büscher, G; Bokern, E
2009-12-01
An increase of the convergence of medical services towards specialised hospitals with high case numbers is often assumed as a result of the implementation of diagnosis-related groups (DRG; case-based lump sum reimbursement). So far, estimates of the extent to which this effect occurs after the recent implementation of DRGs are not available in Germany. Claims data of about 23,600,000 insured within the inclusive period 2004-2007 were analysed. All cases with the main diagnosis of lung cancer, prostate cancer, and colorectal cancer were included in the study. Broken down by entities and years, graphical and statistical concentration measures as well as the percentages of different hospital size classes were calculated. Increasing case numbers could be observed for all entities within the period (lung cancer:+25.7%; prostate cancer:+12.5%; colorectal cancer:+8.1%). The concentration measures showed hardly any changes in the course of time. The absolute increase of case numbers seems to affect those hospitals with case numbers higher than 50 per year above average [lung cancer cases in a hospital group including hospitals with more than 50 cases 2004 (percentage): 78.1% and 2007: 81.6%; prostate cancer: 67.4% and 71.7%; colorectal: 72.5% and 75.9%], whereas case numbers of hospital groups including hospitals with case numbers less than 50 per year remain unchanged or grow more slowly. The convergence of oncological services towards a few specialised centres has not yet been accelerated by the implementation of DRG's. Fundamentally, relative changes can be noticed due to case number increases in large centres, not because of service cutbacks and shifts from smaller hospitals. Reasons for this could either be the inflexibility of capacity planning or control options of the statutory health insurance. Further research of convergence tendencies and its drivers is required to be able to draw any benefit from efficiency and quality potentials. Copyright Georg Thieme Verlag
Rapid detection of infectious rotavirus group A using a molecular beacon assay.
Bertol, Jéssica Wildgrube; Gatti, Maria Silvia Viccari
2016-08-01
Rapid, sensitive and specific methods are necessary to detect and quantify infectious viruses. Cultivating and detecting enteric viruses in cell culture are difficult, thus impairing the advancement of knowledge regarding virus-induced diarrhea. Rotavirus (RV) detection has been conducted by serological or molecular biology methods, which do not provide information regarding viral infectivity. Molecular beacons (MBs) have demonstrated efficacy for viral detection in cell culture. We propose a MB assay to detect human rotavirus group A (HuRVA) in cell culture. MA104 cells were mock-infected or infected with HuRVA strains (RotaTeq(®) vaccine and K8 strains), and a specific MB for the HuRVA VP6 gene was used for virus detection. Mock-infected cells showed basal fluorescence, while infected cells exhibited increased fluorescence emission. MB hybridization to the viral mRNA target of HuRVA was confirmed. Fluorescence increased according to the increase in the number of infectious viral particles per cell (MOI 0.5-MOI 1). This technique provides quick and efficient HuRVA detection in cell culture without a need for viral culture for several days or many times until cytopathic effects are visualized. This methodology could be applied in the selection of samples for developing RV vaccines. Copyright © 2016 Elsevier B.V. All rights reserved.
ERIC Educational Resources Information Center
Lendrum, Ann; Humphrey, Neil; Kalambouka, Afroditi; Wigelsworth, Michael
2009-01-01
This article presents an extended vignette describing a good practice model for implementing SEAL small group work at "Mellington Primary", a fictional school. The vignette/model was developed from in-depth case studies at five primary schools in the north-west of England during a national evaluation of primary SEAL by the authors. The…
Group consensus peer review in radiation oncology: commitment to quality.
Duggar, W Neil; Bhandari, Rahul; Yang, Chunli Claus; Vijayakumar, Srinivasan
2018-03-27
Peer review, especially prospective peer review, has been supported by professional organizations as an important element in optimal Radiation Oncology practice based on its demonstration of efficacy at detecting and preventing errors prior to patient treatment. Implementation of peer review is not without barriers, but solutions do exist to mitigate or eliminate some of those barriers. Peer review practice at our institution involves three key elements: new patient conference, treatment planning conference, and chart rounds. The treatment planning conference is an adaptation of the group consensus peer review model from radiology which utilizes a group of peers reviewing each treatment plan prior to implementation. The peer group in radiation oncology includes Radiation Oncologists, Physician Residents, Medical Physicists, Dosimetrists, and Therapists. Thus, technical and clinical aspects of each plan are evaluated simultaneously. Though peer review is held in high regard in Radiation Oncology, many barriers commonly exist preventing optimal implementation such as time intensiveness, repetition, and distraction from clinic time with patients. Through the use of automated review tools and commitment by individuals and administration in regards to staffing, scheduling, and responsibilities, these barriers have been mitigated to implement this Group Consensus Peer Review model into a Radiation Oncology Clinic. A Group Consensus Peer Review model has been implemented with strategies to address common barriers to effective and efficient peer review.
Online Detection of Functional Groups in SEC via Quantum Cascade Laser IR Spectroscopy.
Morlock, Sascha; Kübel, Jennifer M; Beskers, Timo F; Lendl, Bernhard; Wilhelm, Manfred
2018-01-01
The development of coupled techniques based on chemically sensitive detectors, such as FTIR or NMR spectrometers, for size exclusion chromatography (SEC) provides sophisticated methods for determining the molecular-weight-dependent chemical composition in polymers. However, the detection of rare functionalities such as end groups or branching points presents a challenge, especially for online coupled SEC detection, which is based on low-concentration chromatography. To address this issue, for the first time, an external cavity quantum cascade laser (EC-QCL) infrared spectrometer is coupled to an SEC. The system is evaluated using polystyrene/poly(methyl methacrylate) (PS/PMMA) blends. The current limit of detection for the carbonyl (PMMA) stretch vibration at 1730 cm -1 with this technique is 3.5 µg PMMA on a semipreparative column (typical load of 2.5 mg polymer in total). That equals 0.15 mol% of PMMA in the PS/PMMA blend and corresponds to one carbonyl group per 70 kg mol -1 polymer. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Novick, Gina; Womack, Julie A.; Lewis, Jessica; Stasko, Emily C.; Rising, Sharon S.; Sadler, Lois S.; Cunningham, Shayna C.; Tobin, Jonathan N.; Ickovics, Jeannette R.
2016-01-01
Group prenatal care improves perinatal outcomes, but implementing this complex model places substantial demands on settings designed for individual care. To describe perceived barriers and facilitators to implementing and sustaining Centering Pregnancy Plus (CP+) group prenatal care, 24 in-depth interviews were conducted with 22 clinicians, staff, administrators, and study personnel in six of the 14 sites of a randomized trial of the model. All sites served low-income, minority women. Sites for the present evaluation were selected for variation in location, study arm, and initial implementation response. Implementing CP+ was challenging in all sites, requiring substantial adaptations of clinical systems. All sites had barriers to meeting the model’s demands, but how sites responded to these barriers affected whether implementation thrived or struggled. Thriving sites had organizational cultures that supported innovation, champions who advocated for CP+, and staff who viewed logistical demands as manageable hurdles. Struggling sites had bureaucratic organizational structures and lacked buy-in and financial resources, and staff were overwhelmed by the model’s challenges. Findings suggested that implementing and sustaining health care innovation requires new practices and different ways of thinking, and health systems may not fully recognize the magnitude of change required. Consequently, evidence-based practices are modified or discontinued, and outcomes may differ from those in the original controlled studies. Before implementing new models of care, clinical settings should anticipate model demands and assess capacity for adapting to the disruptions of innovation. PMID:26340483
Bayesian Community Detection in the Space of Group-Level Functional Differences
Venkataraman, Archana; Yang, Daniel Y.-J.; Pelphrey, Kevin A.; Duncan, James S.
2017-01-01
We propose a unified Bayesian framework to detect both hyper- and hypo-active communities within whole-brain fMRI data. Specifically, our model identifies dense subgraphs that exhibit population-level differences in functional synchrony between a control and clinical group. We derive a variational EM algorithm to solve for the latent posterior distributions and parameter estimates, which subsequently inform us about the afflicted network topology. We demonstrate that our method provides valuable insights into the neural mechanisms underlying social dysfunction in autism, as verified by the Neurosynth meta-analytic database. In contrast, both univariate testing and community detection via recursive edge elimination fail to identify stable functional communities associated with the disorder. PMID:26955022
Bayesian Community Detection in the Space of Group-Level Functional Differences.
Venkataraman, Archana; Yang, Daniel Y-J; Pelphrey, Kevin A; Duncan, James S
2016-08-01
We propose a unified Bayesian framework to detect both hyper- and hypo-active communities within whole-brain fMRI data. Specifically, our model identifies dense subgraphs that exhibit population-level differences in functional synchrony between a control and clinical group. We derive a variational EM algorithm to solve for the latent posterior distributions and parameter estimates, which subsequently inform us about the afflicted network topology. We demonstrate that our method provides valuable insights into the neural mechanisms underlying social dysfunction in autism, as verified by the Neurosynth meta-analytic database. In contrast, both univariate testing and community detection via recursive edge elimination fail to identify stable functional communities associated with the disorder.
Detection and Phylogenetic Analysis of Group 1 Coronaviruses in South American Bats
Foster, Jerome E.; Zhu, Hua Chen; Zhang, Jin Xia; Smith, Gavin J.D.; Thompson, Nadin; Auguste, Albert J.; Ramkissoon, Vernie; Adesiyun, Abiodun A.; Guan, Yi
2008-01-01
Bat coronaviruses (Bt-CoVs) are thought to be the precursors of severe acute respiratory syndrome coronavirus. We detected Bt-CoVs in 2 bat species from Trinidad. Phylogenetic analysis of the RNA-dependent RNA polymerase gene and helicase confirmed them as group 1 coronaviruses. PMID:19046513
Design of a sensor for the blood AB0 group antibodies detection
NASA Astrophysics Data System (ADS)
Kolesov, D. V.; Kiselev, G. A.; Moiseev, M. A.; Kudrinskiy, A. A.; Yaminskiy, I. V.
2012-02-01
Control the content of the blood group antibodies in the plasma of the recipient is an important task in modern transplantation. In this paper we proposed to use micromechanical cantilever sensors for detection of the low concentrations of AB0 blood group antibodies in serum. The technique of chemical modification of cantilever surface to create the receptor layer was developed. The apparatus, which provides data acquisition from multiple microconsoles simultaneously was created. We carried out experiments by the detection in a solution the β antibodies with a concentration of 300 times less than the native content of antibodies in the blood. Change in surface stress due to formation of antigen-antibody complexes on the cantilever surface was 0.075 N/m. The resulting lateral strain, apparently, induced by repulsion between the complexes during the sorption of antibodies in layer of antigens, immobilized on the surface. The possibility of regeneration of sensory layer for repeated measurements was shown.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hannon, Kevin P.; Li, Chenyang; Evangelista, Francesco A., E-mail: francesco.evangelista@emory.edu
2016-05-28
We report an efficient implementation of a second-order multireference perturbation theory based on the driven similarity renormalization group (DSRG-MRPT2) [C. Li and F. A. Evangelista, J. Chem. Theory Comput. 11, 2097 (2015)]. Our implementation employs factorized two-electron integrals to avoid storage of large four-index intermediates. It also exploits the block structure of the reference density matrices to reduce the computational cost to that of second-order Møller–Plesset perturbation theory. Our new DSRG-MRPT2 implementation is benchmarked on ten naphthyne isomers using basis sets up to quintuple-ζ quality. We find that the singlet-triplet splittings (Δ{sub ST}) of the naphthyne isomers strongly depend onmore » the equilibrium structures. For a consistent set of geometries, the Δ{sub ST} values predicted by the DSRG-MRPT2 are in good agreements with those computed by the reduced multireference coupled cluster theory with singles, doubles, and perturbative triples.« less
Khamrin, Pattara; Kumthip, Kattareeya; Thongprachum, Aksara; Takanashi, Sayaka; Okitsu, Shoko; Maneekarn, Niwat; Hayakawa, Satoshi; Ushijima, Hiroshi
2018-05-01
Viral enteric infections, such as noroviruses and rotaviruses are considered as the major causes of acute gastroenteritis in young children and elderly people all over the world. These viruses are responsible for numerous outbreaks of nonbacterial gastroenteritis in several settings such as hospitals, day care centers, nursing homes, and restaurants. Therefore, a rapid and sensitive diagnostic tool for virus detections could be helpful for disease control. A new immunochromatographic test for the dual detection of noroviruses and group A rotaviruses was evaluated by using specimens that were known to be positive for noroviruses and rotaviruses, as well as other diarrheal viruses. The sensitivity of detections for noroviruses and group A rotaviruses were 89.5% and 100%, respectively, while the specificity was 100% for both viruses. This immunochromatographic test was reactive to several norovirus and group A rotavirus genotypes (NoV GII.2, GII.3, GII.4, GII.6, GII.7, GII.17 and RVA G1P[8], G2P[4], G3P[8], G8P[8], G9P[8]). The speed and ease of use of the immunochromatographic test makes this kit particularly attractive as an alternative method for the detections of noroviruses and group A rotaviruses in the primary care unit.
Coulam, Robert; Kralewski, John; Dowd, Bryan; Gans, David
2016-01-01
Although there are numerous studies of the factors influencing the adoption of quality assurance (QA) programs by medical group practices, few have focused on the role of group practice administrators. To gain insights into the role these administrators play in QA programs, we analyzed how medical practices adopted and implemented the Medicare Physician Quality Reporting System (PQRS), the largest physician quality reporting system in the United States. We conducted focus group interviews in 2011 with a national convenience sample of 76 medical group practice administrators. Responses were organized and analyzed using the innovation decision framework of Van de Ven and colleagues. Administrators conducted due diligence on PQRS, influenced how the issue was presented to physicians for adoption, and managed implementation thereafter. Administrators' recommendations were heavily influenced by practice characteristics, financial incentives, and practice commitments to early adoption of quality improvement innovations. Virtually, all who attempted it agreed that PQRS was straightforward to implement. However, the complexities of Medicare's PQRS reports impeded use of the data by administrators to support quality management. Group practice administrators are playing a prominent role in activities related to the quality of patient care--they are not limited to the business side of the practice. Especially, as PQRS becomes more nearly universal after 2014, Medicare should take account of the role that administrators play, by more actively engaging administrators in shaping these programs and making it easier for administrators to use the results. More research is needed on the rapidly evolving role of nonphysician administration in medical group practices. Practice administrators have a larger role than commonly understood in how quality reporting initiatives are adopted and used and are in an exceptional position to influence the more appropriate use of these resources if
Detection of BVDV persistently infected animals in Belgium: evaluation of the strategy implemented.
Letellier, C; De Meulemeester, L; Lomba, M; Mijten, E; Kerkhofs, P
2005-11-15
Until now, no official bovine virus diarrhea virus (BVDV) control program has been implemented in Belgium. The only legislation dealing with the detection of BVDV-infected animals concerns the purchase of animals. A strategy of control, based on the identification and elimination of persistently infected (PI) animals and the vaccination of cows before insemination has been designed in both the Northern and the Southern part of the country. The strategy of detection of PI animals relies on PCR testing of pools of blood. Individual blood samples corresponding to the positive pools are then tested by BVDV-antigen ELISA. A first evaluation of the measures already applied in Belgium is presented. Data obtained in 2003 are presented and discussed regarding the validation of the laboratory strategy, the prevalence of positive herds, the genotype of circulating viruses, the outcome of antigen positive animals and the need for improvement of the current legislation.
Road detection and buried object detection in elevated EO/IR imagery
NASA Astrophysics Data System (ADS)
Kennedy, Levi; Kolba, Mark P.; Walters, Joshua R.
2012-06-01
To assist the warfighter in visually identifying potentially dangerous roadside objects, the U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD) has developed an elevated video sensor system testbed for data collection. This system provides color and mid-wave infrared (MWIR) imagery. Signal Innovations Group (SIG) has developed an automated processing capability that detects the road within the sensor field of view and identifies potentially threatening buried objects within the detected road. The road detection algorithm leverages system metadata to project the collected imagery onto a flat ground plane, allowing for more accurate detection of the road as well as the direct specification of realistic physical constraints in the shape of the detected road. Once the road has been detected in an image frame, a buried object detection algorithm is applied to search for threatening objects within the detected road space. The buried object detection algorithm leverages textural and pixel intensity-based features to detect potential anomalies and then classifies them as threatening or non-threatening objects. Both the road detection and the buried object detection algorithms have been developed to facilitate their implementation in real-time in the NVESD system.
Implementing a geriatric assessment in cooperative group clinical cancer trials: CALGB 360401.
Hurria, Arti; Cirrincione, Constance T; Muss, Hyman B; Kornblith, Alice B; Barry, William; Artz, Andrew S; Schmieder, Linda; Ansari, Rafat; Tew, William P; Weckstein, Douglas; Kirshner, Jeffrey; Togawa, Kayo; Hansen, Kurt; Katheria, Vani; Stone, Richard; Galinsky, Ilene; Postiglione, John; Cohen, Harvey Jay
2011-04-01
Factors captured in a geriatric assessment can predict morbidity and mortality in older adults, but are not routinely measured in cancer clinical trials. This study evaluated the implementation of a geriatric assessment tool in the cooperative group setting. Patients age ≥ 65 with cancer, who enrolled on cooperative group cancer trials, were eligible to enroll on Cancer and Leukemia Group B (CALGB) 360401. They completed a geriatric assessment tool before initiation of protocol therapy, consisting of valid and reliable geriatric assessment measures which are primarily self-administered and require minimal resources and time by healthcare providers. The assessment measures functional status, comorbidity, cognitive function, psychological state, social support, and nutritional status. The protocol specified criteria for incorporation of the tool in future cooperative group trials was based on the time to completion and percent of patients who could complete their portion without assistance. Patient satisfaction with the tool was captured. Of the 93 patients who enrolled in this study, five (5%) met criteria for cognitive impairment and three did not complete the cognitive screen, leaving 85 assessable patients (median age, 72 years). The median time to complete the geriatric assessment tool was 22 minutes, 87% of patients (n = 74) completed their portion without assistance, 92% (n = 78) were satisfied with the questionnaire length, 95% (n = 81) reported no difficult questions, and 96% (n = 82) reported no upsetting questions. One hundred percent of health care professionals completed their portion. This brief, primarily self-administered geriatric assessment tool met the protocol specified criteria for inclusion in future cooperative group clinical trials.
Three Cd(II) MOFs with Different Functional Groups: Selective CO2 Capture and Metal Ions Detection.
Wang, Zhong-Jie; Han, Li-Juan; Gao, Xiang-Jing; Zheng, He-Gen
2018-05-07
Three Cd(II) iso-frameworks {[Cd(BIPA)(IPA)]·DMF} n (1), {[Cd(BIPA)(HIPA)]·DMF} n (2), and {[Cd(BIPA)(NIPA)]·2H 2 O} n (3) were synthesized from the self-assembly of the BIPA ligand (BIPA = bis(4-(1 H-imidazol-1-yl)phenyl)amine) and different carboxylic ligands (H 2 IPA = isophthalic acid, H 2 HIPA = 5-hydroxyisophthalic acid, H 2 NIPA = 5-nitroisophthalic acid) with Cd(II), which have amino groups, amino and phenolic hydroxyl groups, and amino and nitro groups, respectively. Both 1 and 2 exhibit CO 2 uptakes of more than 20 wt %, indicating that amino and phenolic hydroxyl functionalized groups are beneficial to CO 2 adsorption. Their applications and mechanisms in detecting metal ions were researched. The results exhibit that 1 and 2 are dual-responsive photoluminescent sensors for Hg 2+ and Pb 2+ ions with low detection concentration and high quenching constant. Besides, like most MOFs, 3 can detect a trace quantity of Fe 3+ and Cu 2+ .
Lao, Julie; Vanet, Anne
2017-01-01
The pathogenicity of the different flu species is a real public health problem worldwide. To combat this scourge, we established a method to detect drug targets, reducing the possibility of escape. Besides being able to attach a drug candidate, these targets should have the main characteristic of being part of an essential viral function. The invariance groups that are sets of residues bearing an essential function can be detected genetically. They consist of invariant and synthetic lethal residues (interdependent residues not varying or slightly varying when together). We analyzed an alignment of more than 10,000 hemagglutinin sequences of influenza to detect six invariance groups, close in space, and on the protein surface. In parallel we identified five potential pockets on the surface of hemagglutinin. By combining these results, three potential binding sites were determined that are composed of invariance groups located respectively in the vestigial esterase domain, in the bottom of the stem and in the fusion area. The latter target is constituted of residues involved in the spring-loaded mechanism, an essential step in the fusion process. We propose a model describing how this potential target could block the reorganization of the hemagglutinin HA2 secondary structure and prevent viral entry into the host cell. PMID:28257108
Wang, Huiya; Feng, Jun; Wang, Hongyu
2017-07-20
Detection of clustered microcalcification (MC) from mammograms plays essential roles in computer-aided diagnosis for early stage breast cancer. To tackle problems associated with the diversity of data structures of MC lesions and the variability of normal breast tissues, multi-pattern sample space learning is required. In this paper, a novel grouped fuzzy Support Vector Machine (SVM) algorithm with sample space partition based on Expectation-Maximization (EM) (called G-FSVM) is proposed for clustered MC detection. The diversified pattern of training data is partitioned into several groups based on EM algorithm. Then a series of fuzzy SVM are integrated for classification with each group of samples from the MC lesions and normal breast tissues. From DDSM database, a total of 1,064 suspicious regions are selected from 239 mammography, and the measurement of Accuracy, True Positive Rate (TPR), False Positive Rate (FPR) and EVL = TPR* 1-FPR are 0.82, 0.78, 0.14 and 0.72, respectively. The proposed method incorporates the merits of fuzzy SVM and multi-pattern sample space learning, decomposing the MC detection problem into serial simple two-class classification. Experimental results from synthetic data and DDSM database demonstrate that our integrated classification framework reduces the false positive rate significantly while maintaining the true positive rate.
Fast Photo-detection in Phototransistors based on Group III-VI Layered Materials.
NASA Astrophysics Data System (ADS)
Patil, Prasanna; Ghosh, Sujoy; Wasala, Milinda; Lei, Sidong; Vajtai, Robert; Ajayan, Pulickel; Talapatra, Saikat
Response time of a photo detector is one of the crucial aspect of photo-detection. Recently it has been shown that direct band gap of few layered group III-VI materials helps in increased absorption of light thereby enhancing the photo responsive properties of these materials. Ternary system of Copper Indium Selenide has been extensively used in optoelectronics industry and it is expected that 2D layered structure of Copper Indium Selenide will be a key component of future optoelectronics devices based on 2D materials. Here we report fast photo detection in few layers of Copper Indium Selenide (CuIn7Se11) phototransistor. Few-layers of CuIn7Se11 flakes were exfoliated from crystals grown using chemical vapor transport technique. Our photo response characterization indicates responsivity of 104 mA/W with external quantum efficiency exceeding 103. We have found response time of few μs which is one of the fastest response among photodetectors based on 2D materials. We also found specific detectivity of 1012 Jones which is an order higher than conventional photodetectors. A comparison between response times of various layered group III-VI materials will be presented and discussed. This work is supported by the U.S. Army Research Office through a MURI Grant # W911NF-11-1-0362.
Management Information Task Group
2002-12-18
Defense Business Practice Implementation Board Management Information Task Group Report...Std Z39-18 Defense Business Practice Implementation Board Management Information Task Group... Business Practice Implementation Board Management Information Task Group Report FY02-2 3
The detection methods of dynamic objects
NASA Astrophysics Data System (ADS)
Knyazev, N. L.; Denisova, L. A.
2018-01-01
The article deals with the application of cluster analysis methods for solving the task of aircraft detection on the basis of distribution of navigation parameters selection into groups (clusters). The modified method of cluster analysis for search and detection of objects and then iterative combining in clusters with the subsequent count of their quantity for increase in accuracy of the aircraft detection have been suggested. The course of the method operation and the features of implementation have been considered. In the conclusion the noted efficiency of the offered method for exact cluster analysis for finding targets has been shown.
DIF Detection Using Multiple-Group Categorical CFA with Minimum Free Baseline Approach
ERIC Educational Resources Information Center
Chang, Yu-Wei; Huang, Wei-Kang; Tsai, Rung-Ching
2015-01-01
The aim of this study is to assess the efficiency of using the multiple-group categorical confirmatory factor analysis (MCCFA) and the robust chi-square difference test in differential item functioning (DIF) detection for polytomous items under the minimum free baseline strategy. While testing for DIF items, despite the strong assumption that all…
Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry.
Katuwal, Gajendra J; Baum, Stefi A; Cahill, Nathan D; Michael, Andrew M
2016-01-01
Low success (<60%) in autism spectrum disorder (ASD) classification using brain morphometry from the large multi-site ABIDE dataset and inconsistent findings on brain morphometric abnormalities in ASD can be attributed to the ASD heterogeneity. In this study, we show that ASD brain morphometry is highly heterogeneous, and demonstrate that the heterogeneity can be mitigated and classification improved if autism severity (AS), verbal IQ (VIQ) and age are used with morphometric features. Morphometric features from structural MRIs (sMRIs) of 734 males (ASD: 361, controls: 373) of ABIDE were derived using FreeSurfer. Applying the Random Forest classifier, an AUC of 0.61 was achieved. Adding VIQ and age to morphometric features, AUC improved to 0.68. Sub-grouping the subjects by AS, VIQ and age improved the classification with the highest AUC of 0.8 in the moderate-AS sub-group (AS = 7-8). Matching subjects on age and/or VIQ in each sub-group further improved the classification with the highest AUC of 0.92 in the low AS sub-group (AS = 4-5). AUC decreased with AS and VIQ, and was the lowest in the mid-age sub-group (13-18 years). The important features were mainly from the frontal, temporal, ventricular, right hippocampal and left amygdala regions. However, they highly varied with AS, VIQ and age. The curvature and folding index features from frontal, temporal, lingual and insular regions were dominant in younger subjects suggesting their importance for early detection. When the experiments were repeated using the Gradient Boosting classifier similar results were obtained. Our findings suggest that identifying brain biomarkers in sub-groups of ASD can yield more robust and insightful results than searching across the whole spectrum. Further, it may allow identification of sub-group specific brain biomarkers that are optimized for early detection and monitoring, increasing the utility of sMRI as an important tool for early detection of ASD.
Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry
Baum, Stefi A.; Cahill, Nathan D.; Michael, Andrew M.
2016-01-01
Low success (<60%) in autism spectrum disorder (ASD) classification using brain morphometry from the large multi-site ABIDE dataset and inconsistent findings on brain morphometric abnormalities in ASD can be attributed to the ASD heterogeneity. In this study, we show that ASD brain morphometry is highly heterogeneous, and demonstrate that the heterogeneity can be mitigated and classification improved if autism severity (AS), verbal IQ (VIQ) and age are used with morphometric features. Morphometric features from structural MRIs (sMRIs) of 734 males (ASD: 361, controls: 373) of ABIDE were derived using FreeSurfer. Applying the Random Forest classifier, an AUC of 0.61 was achieved. Adding VIQ and age to morphometric features, AUC improved to 0.68. Sub-grouping the subjects by AS, VIQ and age improved the classification with the highest AUC of 0.8 in the moderate-AS sub-group (AS = 7–8). Matching subjects on age and/or VIQ in each sub-group further improved the classification with the highest AUC of 0.92 in the low AS sub-group (AS = 4–5). AUC decreased with AS and VIQ, and was the lowest in the mid-age sub-group (13–18 years). The important features were mainly from the frontal, temporal, ventricular, right hippocampal and left amygdala regions. However, they highly varied with AS, VIQ and age. The curvature and folding index features from frontal, temporal, lingual and insular regions were dominant in younger subjects suggesting their importance for early detection. When the experiments were repeated using the Gradient Boosting classifier similar results were obtained. Our findings suggest that identifying brain biomarkers in sub-groups of ASD can yield more robust and insightful results than searching across the whole spectrum. Further, it may allow identification of sub-group specific brain biomarkers that are optimized for early detection and monitoring, increasing the utility of sMRI as an important tool for early detection of ASD. PMID:27065101
NASA Astrophysics Data System (ADS)
Coughlin, J.; Mital, R.; Nittur, S.; SanNicolas, B.; Wolf, C.; Jusufi, R.
2016-09-01
Operational analytics when combined with Big Data technologies and predictive techniques have been shown to be valuable in detecting mission critical sensor anomalies that might be missed by conventional analytical techniques. Our approach helps analysts and leaders make informed and rapid decisions by analyzing large volumes of complex data in near real-time and presenting it in a manner that facilitates decision making. It provides cost savings by being able to alert and predict when sensor degradations pass a critical threshold and impact mission operations. Operational analytics, which uses Big Data tools and technologies, can process very large data sets containing a variety of data types to uncover hidden patterns, unknown correlations, and other relevant information. When combined with predictive techniques, it provides a mechanism to monitor and visualize these data sets and provide insight into degradations encountered in large sensor systems such as the space surveillance network. In this study, data from a notional sensor is simulated and we use big data technologies, predictive algorithms and operational analytics to process the data and predict sensor degradations. This study uses data products that would commonly be analyzed at a site. This study builds on a big data architecture that has previously been proven valuable in detecting anomalies. This paper outlines our methodology of implementing an operational analytic solution through data discovery, learning and training of data modeling and predictive techniques, and deployment. Through this methodology, we implement a functional architecture focused on exploring available big data sets and determine practical analytic, visualization, and predictive technologies.
Cargo, Margaret; Harris, Janet; Pantoja, Tomas; Booth, Andrew; Harden, Angela; Hannes, Karin; Thomas, James; Flemming, Kate; Garside, Ruth; Noyes, Jane
2018-05-01
This article provides reviewers with guidance on methods for identifying and processing evidence to understand intervention implementation. Strategies, tools, and methods are applied to the systematic review process to illustrate how process and implementation can be addressed using quantitative, qualitative, and other sources of evidence (i.e., descriptive textual and nonempirical). Reviewers can take steps to navigate the heterogeneity and level of uncertainty present in the concepts, measures, and methods used to assess implementation. Activities can be undertaken in advance of a Cochrane quantitative review to develop program theory and logic models that situate implementation in the causal chain. Four search strategies are offered to retrieve process and implementation evidence. Recommendations are made for addressing rigor or risk of bias in process evaluation or implementation evidence. Strategies are recommended for locating and extracting data from primary studies. The basic logic is presented to assist reviewers to make initial review-level judgments about implementation failure and theory failure. Although strategies, tools, and methods can assist reviewers to address process and implementation using quantitative, qualitative, and other forms of evidence, few exemplar reviews exist. There is a need for further methodological development and trialing of proposed approaches. Copyright © 2017 Elsevier Inc. All rights reserved.
Tarumi, Toshiyasu; Small, Gary W; Combs, Roger J; Kroutil, Robert T
2004-04-01
Finite impulse response (FIR) filters and finite impulse response matrix (FIRM) filters are evaluated for use in the detection of volatile organic compounds with wide spectral bands by direct analysis of interferogram data obtained from passive Fourier transform infrared (FT-IR) measurements. Short segments of filtered interferogram points are classified by support vector machines (SVMs) to implement the automated detection of heated plumes of the target analyte, ethanol. The interferograms employed in this study were acquired with a downward-looking passive FT-IR spectrometer mounted on a fixed-wing aircraft. Classifiers are trained with data collected on the ground and subsequently used for the airborne detection. The success of the automated detection depends on the effective removal of background contributions from the interferogram segments. Removing the background signature is complicated when the analyte spectral bands are broad because there is significant overlap between the interferogram representations of the analyte and background. Methods to implement the FIR and FIRM filters while excluding background contributions are explored in this work. When properly optimized, both filtering procedures provide satisfactory classification results for the airborne data. Missed detection rates of 8% or smaller for ethanol and false positive rates of at most 0.8% are realized. The optimization of filter design parameters, the starting interferogram point for filtering, and the length of the interferogram segments used in the pattern recognition is discussed.
Deakyne, S J; Bajaj, L; Hoffman, J; Alessandrini, E; Ballard, D W; Norris, R; Tzimenatos, L; Swietlik, M; Tham, E; Grundmeier, R W; Kuppermann, N; Dayan, P S
2015-01-01
Overuse of cranial computed tomography scans in children with blunt head trauma unnecessarily exposes them to radiation. The Pediatric Emergency Care Applied Research Network (PECARN) blunt head trauma prediction rules identify children who do not require a computed tomography scan. Electronic health record (EHR) based clinical decision support (CDS) may effectively implement these rules but must only be provided for appropriate patients in order to minimize excessive alerts. To develop, implement and evaluate site-specific groupings of chief complaints (CC) that accurately identify children with head trauma, in order to activate data collection in an EHR. As part of a 13 site clinical trial comparing cranial computed tomography use before and after implementation of CDS, four PECARN sites centrally developed and locally implemented CC groupings to trigger a clinical trial alert (CTA) to facilitate the completion of an emergency department head trauma data collection template. We tested and chose CC groupings to attain high sensitivity while maintaining at least moderate specificity. Due to variability in CCs available, identical groupings across sites were not possible. We noted substantial variability in the sensitivity and specificity of seemingly similar CC groupings between sites. The implemented CC groupings had sensitivities greater than 90% with specificities between 75-89%. During the trial, formal testing and provider feedback led to tailoring of the CC groupings at some sites. CC groupings can be successfully developed and implemented across multiple sites to accurately identify patients who should have a CTA triggered to facilitate EHR data collection. However, CC groupings will necessarily vary in order to attain high sensitivity and moderate-to-high specificity. In future trials, the balance between sensitivity and specificity should be considered based on the nature of the clinical condition, including prevalence and morbidity, in addition to the
Lodge, Amy C; Kaufman, Laura; Stevens Manser, Stacey
2017-05-01
Despite being an established practice in the disabilities service systems, person-centered planning is a relatively new practice in the behavioral health system. As a result, little is known about the barriers that mental health organizations face in implementing person-centered recovery planning (PCRP). To fill this gap, results are presented from a qualitative analysis of nine focus groups at three public mental health organizations in Texas that have been implementing PCRP for at least 2 years. Findings suggest that organizations experienced 12 distinct barriers to PCRP implementation which were categorized into the Consolidated Framework for Implementation Research domains of intervention characteristics, the outer setting, the inner setting, characteristics of individuals, and the implementation process. Half of these 12 barriers fell within the inner setting domain, suggesting that implementation efforts should be flexible and adaptable to organizational culture and context. One-quarter of the barriers fell into the domain of characteristics of individuals involved in the intervention, which further suggests implementation efforts should assess the impact that both staff and consumers have on implementation success.
Ni, Qin; Patterson, Timothy; Cleland, Ian; Nugent, Chris
2016-08-01
Activity recognition is an intrinsic component of many pervasive computing and ambient intelligent solutions. This has been facilitated by an explosion of technological developments in the area of wireless sensor network, wearable and mobile computing. Yet, delivering robust activity recognition, which could be deployed at scale in a real world environment, still remains an active research challenge. Much of the existing literature to date has focused on applying machine learning techniques to pre-segmented data collected in controlled laboratory environments. Whilst this approach can provide valuable ground truth information from which to build recognition models, these techniques often do not function well when implemented in near real time applications. This paper presents the application of a multivariate online change detection algorithm to dynamically detect the starting position of windows for the purposes of activity recognition. Copyright © 2016 Elsevier Inc. All rights reserved.
Design and Implementation of Real-Time Off-Grid Detection Tool Based on FNET/GridEye
DOE Office of Scientific and Technical Information (OSTI.GOV)
Guo, Jiahui; Zhang, Ye; Liu, Yilu
2014-01-01
Real-time situational awareness tools are of critical importance to power system operators, especially during emergencies. The availability of electric power has become a linchpin of most post disaster response efforts as it is the primary dependency for public and private sector services, as well as individuals. Knowledge of the scope and extent of facilities impacted, as well as the duration of their dependence on backup power, enables emergency response officials to plan for contingencies and provide better overall response. Based on real-time data acquired by Frequency Disturbance Recorders (FDRs) deployed in the North American power grid, a real-time detection methodmore » is proposed. This method monitors critical electrical loads and detects the transition of these loads from an on-grid state, where the loads are fed by the power grid to an off-grid state, where the loads are fed by an Uninterrupted Power Supply (UPS) or a backup generation system. The details of the proposed detection algorithm are presented, and some case studies and off-grid detection scenarios are also provided to verify the effectiveness and robustness. Meanwhile, the algorithm has already been implemented based on the Grid Solutions Framework (GSF) and has effectively detected several off-grid situations.« less
Rehman, Zia Ur; Idris, Adnan; Khan, Asifullah
2018-06-01
Protein-Protein Interactions (PPI) play a vital role in cellular processes and are formed because of thousands of interactions among proteins. Advancements in proteomics technologies have resulted in huge PPI datasets that need to be systematically analyzed. Protein complexes are the locally dense regions in PPI networks, which extend important role in metabolic pathways and gene regulation. In this work, a novel two-phase protein complex detection and grouping mechanism is proposed. In the first phase, topological and biological features are extracted for each complex, and prediction performance is investigated using Bagging based Ensemble classifier (PCD-BEns). Performance evaluation through cross validation shows improvement in comparison to CDIP, MCode, CFinder and PLSMC methods Second phase employs Multi-Dimensional Scaling (MDS) for the grouping of known complexes by exploring inter complex relations. It is experimentally observed that the combination of topological and biological features in the proposed approach has greatly enhanced prediction performance for protein complex detection, which may help to understand various biological processes, whereas application of MDS based exploration may assist in grouping potentially similar complexes. Copyright © 2018 Elsevier Ltd. All rights reserved.
A real time QRS detection using delay-coordinate mapping for the microcontroller implementation.
Lee, Jeong-Whan; Kim, Kyeong-Seop; Lee, Bongsoo; Lee, Byungchae; Lee, Myoung-Ho
2002-01-01
In this article, we propose a new algorithm using the characteristics of reconstructed phase portraits by delay-coordinate mapping utilizing lag rotundity for a real-time detection of QRS complexes in ECG signals. In reconstructing phase portrait the mapping parameters, time delay, and mapping dimension play important roles in shaping of portraits drawn in a new dimensional space. Experimentally, the optimal mapping time delay for detection of QRS complexes turned out to be 20 ms. To explore the meaning of this time delay and the proper mapping dimension, we applied a fill factor, mutual information, and autocorrelation function algorithm that were generally used to analyze the chaotic characteristics of sampled signals. From these results, we could find the fact that the performance of our proposed algorithms relied mainly on the geometrical property such as an area of the reconstructed phase portrait. For the real application, we applied our algorithm for designing a small cardiac event recorder. This system was to record patients' ECG and R-R intervals for 1 h to investigate HRV characteristics of the patients who had vasovagal syncope symptom and for the evaluation, we implemented our algorithm in C language and applied to MIT/BIH arrhythmia database of 48 subjects. Our proposed algorithm achieved a 99.58% detection rate of QRS complexes.
Parallel Molecular Distributed Detection With Brownian Motion.
Rogers, Uri; Koh, Min-Sung
2016-12-01
This paper explores the in vivo distributed detection of an undesired biological agent's (BAs) biomarkers by a group of biological sized nanomachines in an aqueous medium under drift. The term distributed, indicates that the system information relative to the BAs presence is dispersed across the collection of nanomachines, where each nanomachine possesses limited communication, computation, and movement capabilities. Using Brownian motion with drift, a probabilistic detection and optimal data fusion framework, coined molecular distributed detection, will be introduced that combines theory from both molecular communication and distributed detection. Using the optimal data fusion framework as a guide, simulation indicates that a sub-optimal fusion method exists, allowing for a significant reduction in implementation complexity while retaining BA detection accuracy.
Kemeny, Steven Frank; Clyne, Alisa Morss
2011-04-01
Fiber alignment plays a critical role in the structure and function of cells and tissues. While fiber alignment quantification is important to experimental analysis and several different methods for quantifying fiber alignment exist, many studies focus on qualitative rather than quantitative analysis perhaps due to the complexity of current fiber alignment methods. Speed and sensitivity were compared in edge detection and fast Fourier transform (FFT) for measuring actin fiber alignment in cells exposed to shear stress. While edge detection using matrix multiplication was consistently more sensitive than FFT, image processing time was significantly longer. However, when MATLAB functions were used to implement edge detection, MATLAB's efficient element-by-element calculations and fast filtering techniques reduced computation cost 100 times compared to the matrix multiplication edge detection method. The new computation time was comparable to the FFT method, and MATLAB edge detection produced well-distributed fiber angle distributions that statistically distinguished aligned and unaligned fibers in half as many sample images. When the FFT sensitivity was improved by dividing images into smaller subsections, processing time grew larger than the time required for MATLAB edge detection. Implementation of edge detection in MATLAB is simpler, faster, and more sensitive than FFT for fiber alignment quantification.
An Automatic Detection System of Lung Nodule Based on Multi-Group Patch-Based Deep Learning Network.
Jiang, Hongyang; Ma, He; Qian, Wei; Gao, Mengdi; Li, Yan
2017-07-14
High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung cancer. It is a significant and challenging task to quickly locate the exact positions of lung nodules. Extensive work has been done by researchers around this domain for approximately two decades. However, previous computer aided detection (CADe) schemes are mostly intricate and time-consuming since they may require more image processing modules, such as the computed tomography (CT) image transformation, the lung nodule segmentation and the feature extraction, to construct a whole CADe system. It is difficult for those schemes to process and analyze enormous data when the medical images continue to increase. Besides, some state of the art deep learning schemes may be strict in the standard of database. This study proposes an effective lung nodule detection scheme based on multi-group patches cut out from the lung images, which are enhanced by the Frangi filter. Through combining two groups of images, a four-channel convolution neural networks (CNN) model is designed to learn the knowledge of radiologists for detecting nodules of four levels. This CADe scheme can acquire the sensitivity of 80.06% with 4.7 false positives per scan and the sensitivity of 94% with 15.1 false positives per scan. The results demonstrate that the multi-group patch-based learning system is efficient to improve the performance of lung nodule detection and greatly reduce the false positives under a huge amount of image data.
Space Group Symmetry Fractionalization in a Chiral Kagome Heisenberg Antiferromagnet.
Zaletel, Michael P; Zhu, Zhenyue; Lu, Yuan-Ming; Vishwanath, Ashvin; White, Steven R
2016-05-13
The anyonic excitations of a spin liquid can feature fractional quantum numbers under space group symmetries. Detecting these fractional quantum numbers, which are analogs of the fractional charge of Laughlin quasiparticles, may prove easier than the direct observation of anyonic braiding and statistics. Motivated by the recent numerical discovery of spin-liquid phases in the kagome Heisenberg antiferromagnet, we theoretically predict the pattern of space group symmetry fractionalization in the kagome lattice SO(3)-symmetric chiral spin liquid. We provide a method to detect these fractional quantum numbers in finite-size numerics which is simple to implement in the density matrix renormalization group. Applying these developments to the chiral spin liquid phase of a kagome Heisenberg model, we find perfect agreement between our theoretical prediction and numerical observations.
Buehler, James W; Hopkins, Richard S; Overhage, J Marc; Sosin, Daniel M; Tong, Van
2004-05-07
The threat of terrorism and high-profile disease outbreaks has drawn attention to public health surveillance systems for early detection of outbreaks. State and local health departments are enhancing existing surveillance systems and developing new systems to better detect outbreaks through public health surveillance. However, information is limited about the usefulness of surveillance systems for outbreak detection or the best ways to support this function. This report supplements previous guidelines for evaluating public health surveillance systems. Use of this framework is intended to improve decision-making regarding the implementation of surveillance for outbreak detection. Use of a standardized evaluation methodology, including description of system design and operation, also will enhance the exchange of information regarding methods to improve early detection of outbreaks. The framework directs particular attention to the measurement of timeliness and validity for outbreak detection. The evaluation framework is designed to support assessment and description of all surveillance approaches to early detection, whether through traditional disease reporting, specialized analytic routines for aberration detection, or surveillance using early indicators of disease outbreaks, such as syndromic surveillance.
Eklund, Wakako; Kenner, Carole
2015-12-01
The neonatal nurses are the key component of the essential workforce necessary to address the healthcare needs of the infants globally. The paucity of the data regarding the availability and training of the neonatal workforce challenges the stakeholders at the regional, national, and global levels. The lack of these data makes strategic planning for initiatives especially in low-resourced countries difficult. Up-to-date data are critically needed to describe the role neonatal nurses play in global newborn health outcomes. The purpose of the COINN Global Neonatal Provider Database Initiative (CGNPD) was to develop a workforce database by developing survey questions, conducting a focus group to determine the key reasons such a database was needed and how best to implement it, and incorporating these comments into the workforce survey and launch. Pilot testing of the draft survey instrument was done. This article reports on the findings from the focus group and the development of the survey. A qualitative design using the focus group method was used. The focus group discussions were guided by semi-structured interview questions that had been developed prior to the focus group by neonatal experts. A convenience sample of 14 members from the international delegates and project advisory members who attended the COINN 2013 in Belfast, Northern Ireland, participated. These participants represented 10 countries. Thematic analysis was conducted using verbatim transcripts of the focus group data. Four main themes emerged: (1) the invisibility of neonatal nurses, (2) benchmarking needs for quality and standards, (3) need for partnership to implement the database, and (4) setting priorities for variables needed for the most salient database. The questionnaire examined participants' perceptions of the significance of and the future utilization of the workforce database and elements that should be included in the survey. The global neonatal workforce database is needed to
Detection of group 1 coronaviruses in bats in North America
Dominguez, S.R.; O'Shea, T.J.; Oko, L.M.; Holmes, K.V.
2007-01-01
The epidemic of severe acute respiratory syndrome (SARS) was caused by a newly emerged coronavirus (SARS-CoV). Bats of several species in southern People's Republic of China harbor SARS-like CoVs and may be reservoir hosts for them. To determine whether bats in North America also harbor coronaviruses, we used reverse transcription-PCR to detect coronavirus RNA in bats. We found coronavirus RNA in 6 of 28 fecal specimens from bats of 2 of 7 species tested. The prevalence of viral RNA shedding was high: 17% in Eptesicus fuscus and 50% in Myotis occultus. Sequence analysis of a 440-bp amplicon in gene 1b showed that these Rocky Mountain bat coronaviruses formed 3 clusters in phylogenetic group 1 that were distinct from group 1 coronaviruses of Asian bats. Because of the potential for bat coronaviruses to cause disease in humans and animals, further surveillance and characterization of bat coronaviruses in North America are needed.
Rato, Márcia G.; Nerlich, Andreas; Bergmann, René; Bexiga, Ricardo; Nunes, Sandro F.; Vilela, Cristina L.; Santos-Sanches, Ilda; Chhatwal, Gursharan S.
2011-01-01
A custom-designed microarray containing 220 virulence genes of Streptococcus pyogenes (group A Streptococcus [GAS]) was used to test group C Streptococcus dysgalactiae subsp. dysgalactiae (GCS) field strains causing bovine mastitis and group C or group G Streptococcus dysgalactiae subsp. equisimilis (GCS/GGS) isolates from human infections, with the latter being used for comparative purposes, for the presence of virulence genes. All bovine and all human isolates carried a fraction of the 220 genes (23% and 39%, respectively). The virulence genes encoding streptolysin S, glyceraldehyde-3-phosphate dehydrogenase, the plasminogen-binding M-like protein PAM, and the collagen-like protein SclB were detected in the majority of both bovine and human isolates (94 to 100%). Virulence factors, usually carried by human beta-hemolytic streptococcal pathogens, such as streptokinase, laminin-binding protein, and the C5a peptidase precursor, were detected in all human isolates but not in bovine isolates. Additionally, GAS bacteriophage-associated virulence genes encoding superantigens, DNase, and/or streptodornase were detected in bovine isolates (72%) but not in the human isolates. Determinants located in non-bacteriophage-related mobile elements, such as the gene encoding R28, were detected in all bovine and human isolates. Several virulence genes, including genes of bacteriophage origin, were shown to be expressed by reverse transcriptase PCR (RT-PCR). Phylogenetic analysis of superantigen gene sequences revealed a high level (>98%) of identity among genes of bovine GCS, of the horse pathogen Streptococcus equi subsp. equi, and of the human pathogen GAS. Our findings indicate that alpha-hemolytic bovine GCS, an important mastitis pathogen and considered to be a nonhuman pathogen, carries important virulence factors responsible for virulence and pathogenesis in humans. PMID:21525223
Hättenschwiler, Nicole; Sterchi, Yanik; Mendes, Marcia; Schwaninger, Adrian
2018-10-01
Bomb attacks on civil aviation make detecting improvised explosive devices and explosive material in passenger baggage a major concern. In the last few years, explosive detection systems for cabin baggage screening (EDSCB) have become available. Although used by a number of airports, most countries have not yet implemented these systems on a wide scale. We investigated the benefits of EDSCB with two different levels of automation currently being discussed by regulators and airport operators: automation as a diagnostic aid with an on-screen alarm resolution by the airport security officer (screener) or EDSCB with an automated decision by the machine. The two experiments reported here tested and compared both scenarios and a condition without automation as baseline. Participants were screeners at two international airports who differed in both years of work experience and familiarity with automation aids. Results showed that experienced screeners were good at detecting improvised explosive devices even without EDSCB. EDSCB increased only their detection of bare explosives. In contrast, screeners with less experience (tenure < 1 year) benefitted substantially from EDSCB in detecting both improvised explosive devices and bare explosives. A comparison of all three conditions showed that automated decision provided better human-machine detection performance than on-screen alarm resolution and no automation. This came at the cost of slightly higher false alarm rates on the human-machine system level, which would still be acceptable from an operational point of view. Results indicate that a wide-scale implementation of EDSCB would increase the detection of explosives in passenger bags and automated decision instead of automation as diagnostic aid with on screen alarm resolution should be considered. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.
Detecting Emotional Expression in Face-to-Face and Online Breast Cancer Support Groups
ERIC Educational Resources Information Center
Liess, Anna; Simon, Wendy; Yutsis, Maya; Owen, Jason E.; Piemme, Karen Altree; Golant, Mitch; Giese-Davis, Janine
2008-01-01
Accurately detecting emotional expression in women with primary breast cancer participating in support groups may be important for therapists and researchers. In 2 small studies (N = 20 and N = 16), the authors examined whether video coding, human text coding, and automated text analysis provided consistent estimates of the level of emotional…
Software-implemented fault insertion: An FTMP example
NASA Technical Reports Server (NTRS)
Czeck, Edward W.; Siewiorek, Daniel P.; Segall, Zary Z.
1987-01-01
This report presents a model for fault insertion through software; describes its implementation on a fault-tolerant computer, FTMP; presents a summary of fault detection, identification, and reconfiguration data collected with software-implemented fault insertion; and compares the results to hardware fault insertion data. Experimental results show detection time to be a function of time of insertion and system workload. For the fault detection time, there is no correlation between software-inserted faults and hardware-inserted faults; this is because hardware-inserted faults must manifest as errors before detection, whereas software-inserted faults immediately exercise the error detection mechanisms. In summary, the software-implemented fault insertion is able to be used as an evaluation technique for the fault-handling capabilities of a system in fault detection, identification and recovery. Although the software-inserted faults do not map directly to hardware-inserted faults, experiments show software-implemented fault insertion is capable of emulating hardware fault insertion, with greater ease and automation.
Campbell, S M; Sheaff, R; Sibbald, B; Marshall, M N; Pickard, S; Gask, L; Halliwell, S; Rogers, A; Roland, M O
2002-03-01
To investigate the concept of clinical governance being advocated by primary care groups/trusts (PCG/Ts), approaches being used to implement clinical governance, and potential barriers to its successful implementation in primary care. Qualitative case studies using semi-structured interviews and documentation review. Twelve purposively sampled PCG/Ts in England. Fifty senior staff including chief executives, clinical governance leads, mental health leads, and lay board members. Participants' perceptions of the role of clinical governance in PCG/Ts. PCG/Ts recognise that the successful implementation of clinical governance in general practice will require cultural as well as organisational changes, and the support of practices. They are focusing their energies on supporting practices and getting them involved in quality improvement activities. These activities include, but move beyond, conventional approaches to quality assessment (audit, incentives) to incorporate approaches which emphasise corporate and shared learning. PCG/Ts are also engaged in setting up systems for monitoring quality and for dealing with poor performance. Barriers include structural barriers (weak contractual levers to influence general practices), resource barriers (perceived lack of staff or money), and cultural barriers (suspicion by practice staff or problems overcoming the perceived blame culture associated with quality assessment). PCG/Ts are focusing on setting up systems for implementing clinical governance which seek to emphasise developmental and supportive approaches which will engage health professionals. Progress is intentionally incremental but formidable challenges lie ahead, not least reconciling the dual role of supporting practices while monitoring (and dealing with poor) performance.
Dosea, Aline S; Brito, Giselle C; Santos, Lincoln M C; Marques, Tatiane C; Balisa-Rocha, Blície; Pimentel, Deborah; Bueno, Denise; Lyra, Divaldo P
2017-02-01
When pharmacists incorporate clinical practice into their routine, barriers and facilitators influence the implementation of patient care services. Three focus groups were conducted with 11 pharmacists who were working for the Farmácia Popular do Brasil program on the establishment, implementation, and consolidation of clinical pharmacy services. The perception of the pharmacists in Brazil about the program was that it facilitated access to health care and medication. The distance between neighboring cities made it difficult for patients to return for services. Lack of staff training created a lack of communication skills and knowledge. The pharmacists wanted to have increased technical support, skill development opportunities, and monitoring of researchers who assessed progress of the service. Pharmacists overcame many of their insecurities and felt more proactive and committed to quality service. Positive experiences in service implementations have shown that it is possible to develop a model of clinical services in community pharmacies.
Cao, Jianfang; Chen, Lichao; Wang, Min; Tian, Yun
2018-01-01
The Canny operator is widely used to detect edges in images. However, as the size of the image dataset increases, the edge detection performance of the Canny operator decreases and its runtime becomes excessive. To improve the runtime and edge detection performance of the Canny operator, in this paper, we propose a parallel design and implementation for an Otsu-optimized Canny operator using a MapReduce parallel programming model that runs on the Hadoop platform. The Otsu algorithm is used to optimize the Canny operator's dual threshold and improve the edge detection performance, while the MapReduce parallel programming model facilitates parallel processing for the Canny operator to solve the processing speed and communication cost problems that occur when the Canny edge detection algorithm is applied to big data. For the experiments, we constructed datasets of different scales from the Pascal VOC2012 image database. The proposed parallel Otsu-Canny edge detection algorithm performs better than other traditional edge detection algorithms. The parallel approach reduced the running time by approximately 67.2% on a Hadoop cluster architecture consisting of 5 nodes with a dataset of 60,000 images. Overall, our approach system speeds up the system by approximately 3.4 times when processing large-scale datasets, which demonstrates the obvious superiority of our method. The proposed algorithm in this study demonstrates both better edge detection performance and improved time performance.
Frederick, R I
2000-01-01
Mixed group validation (MGV) is offered as an alternative to criterion group validation (CGV) to estimate the true positive and false positive rates of tests and other diagnostic signs. CGV requires perfect confidence about each research participant's status with respect to the presence or absence of pathology. MGV determines diagnostic efficiencies based on group data; knowing an individual's status with respect to pathology is not required. MGV can use relatively weak indicators to validate better diagnostic signs, whereas CGV requires perfect diagnostic signs to avoid error in computing true positive and false positive rates. The process of MGV is explained, and a computer simulation demonstrates the soundness of the procedure. MGV of the Rey 15-Item Memory Test (Rey, 1958) for 723 pre-trial criminal defendants resulted in higher estimates of true positive rates and lower estimates of false positive rates as compared with prior research conducted with CGV. The author demonstrates how MGV addresses all the criticisms Rogers (1997b) outlined for differential prevalence designs in malingering detection research. Copyright 2000 John Wiley & Sons, Ltd.
Auricchio, Bruna; Woudstra, Cédric; Fach, Patrick; Fiore, Alfonsina; Skarin, Hanna; Bano, Luca; Segerman, Bo; Knutsson, Rickard; De Medici, Dario
2013-01-01
Botulism is a neuroparalytic disease that can occur in all warm-blooded animals, birds, and fishes. The disease in animals is mainly caused by toxins produced by Clostridium botulinum strains belonging to group III, although outbreaks due to toxins produced by group I and II organisms have been recognized. Group III strains are capable of producing botulinum toxins of type C, D, and C/D and D/C mosaic variants. Definitive diagnosis of animal botulism is made by combining clinical findings with laboratory investigations. Detection of toxins in clinical specimens and feed is the gold standard for laboratory diagnosis. Since toxins may be degraded by organisms contained in the gastrointestinal tract or may be present at levels below the detection limit, the recovery of C. botulinum from sick animal specimens is consistent for laboratory confirmation. In this article we report the development and in-house validation of a new multiplex real-time PCR for detecting and typing the neurotoxin genes found in C. botulinum group III organisms. Validation procedures have been carried out according to ISO 16140, using strains and samples recovered from cases of animal botulism in Italy and France. PMID:23971808
Implementation of Multipattern String Matching Accelerated with GPU for Intrusion Detection System
NASA Astrophysics Data System (ADS)
Nehemia, Rangga; Lim, Charles; Galinium, Maulahikmah; Rinaldi Widianto, Ahmad
2017-04-01
As Internet-related security threats continue to increase in terms of volume and sophistication, existing Intrusion Detection System is also being challenged to cope with the current Internet development. Multi Pattern String Matching algorithm accelerated with Graphical Processing Unit is being utilized to improve the packet scanning performance of the IDS. This paper implements a Multi Pattern String Matching algorithm, also called Parallel Failureless Aho Corasick accelerated with GPU to improve the performance of IDS. OpenCL library is used to allow the IDS to support various GPU, including popular GPU such as NVIDIA and AMD, used in our research. The experiment result shows that the application of Multi Pattern String Matching using GPU accelerated platform provides a speed up, by up to 141% in term of throughput compared to the previous research.
ERIC Educational Resources Information Center
Baines, Ed; Blatchford, Peter; Webster, Rob
2015-01-01
Findings from two studies are discussed in relation to the experiences and challenges faced by teachers trying to implement effective group work in schools and classrooms and to reflect on the lessons learnt about how to involve pupils with special educational needs (SEN). The first study reports on UK primary school teachers' experiences of…
Automated computer-based detection of encounter behaviours in groups of honeybees.
Blut, Christina; Crespi, Alessandro; Mersch, Danielle; Keller, Laurent; Zhao, Linlin; Kollmann, Markus; Schellscheidt, Benjamin; Fülber, Carsten; Beye, Martin
2017-12-15
Honeybees form societies in which thousands of members integrate their behaviours to act as a single functional unit. We have little knowledge on how the collaborative features are regulated by workers' activities because we lack methods that enable collection of simultaneous and continuous behavioural information for each worker bee. In this study, we introduce the Bee Behavioral Annotation System (BBAS), which enables the automated detection of bees' behaviours in small observation hives. Continuous information on position and orientation were obtained by marking worker bees with 2D barcodes in a small observation hive. We computed behavioural and social features from the tracking information to train a behaviour classifier for encounter behaviours (interaction of workers via antennation) using a machine learning-based system. The classifier correctly detected 93% of the encounter behaviours in a group of bees, whereas 13% of the falsely classified behaviours were unrelated to encounter behaviours. The possibility of building accurate classifiers for automatically annotating behaviours may allow for the examination of individual behaviours of worker bees in the social environments of small observation hives. We envisage that BBAS will be a powerful tool for detecting the effects of experimental manipulation of social attributes and sub-lethal effects of pesticides on behaviour.
NASA Technical Reports Server (NTRS)
Duyar, A.; Guo, T.-H.; Merrill, W.; Musgrave, J.
1992-01-01
In a previous study, Guo, Merrill and Duyar, 1990, reported a conceptual development of a fault detection and diagnosis system for actuation faults of the space shuttle main engine. This study, which is a continuation of the previous work, implements the developed fault detection and diagnosis scheme for the real time actuation fault diagnosis of the space shuttle main engine. The scheme will be used as an integral part of an intelligent control system demonstration experiment at NASA Lewis. The diagnosis system utilizes a model based method with real time identification and hypothesis testing for actuation, sensor, and performance degradation faults.
ERIC Educational Resources Information Center
Chaney, Sandra Lynne
2011-01-01
Background: An elementary teacher study group supports each other in a year-long journey as they learn how to work through writer's workshop curriculum in order to implement Units of Study by Lucy Calkins at a K-6 school. Time spent in writing instruction has been largely neglected, and a teacher-researcher wants to document the support found from…
Haleyur Giri Setty, Mohan Kumar; Liu, Jikun; Mahtani, Prerna; Zhang, Panhe; Du, Bingchen; Ragupathy, Viswanath; Devadas, Krishnakumar; Hewlett, Indira K
2016-06-01
Accurate detection and quantification of HIV-1 group O viruses have been challenging for currently available HIV assays. We have developed a novel time-resolved fluorescence (TRF) europium nanoparticle immunoassay for HIV-1 group O detection using a conventional microplate enzyme-linked immunosorbent assay (ELISA) and a microchip platform. We screened several antibodies for optimal reactivity with several HIV-1 group O strains and identified antibodies that can detect all the strains of HIV-1 group O that were available for testing. The antibodies were used to develop a conventional ELISA format assay and an in-house developed europium nanoparticle-based assay for sensitivity. The method was evaluated on both microwell plate and microchip platforms. We identified two specific and sensitive antibodies among the six we screened. The antibodies, C65691 and ANT-152, were able to quantify 15 and detect all 17 group O viruses, respectively, as they were broadly cross-reactive with all HIV-1 group O strains and yielded better signals compared with other antibodies. We have developed a sensitive assay that reflects the actual viral load in group O samples by using an appropriate combination of p24 antibodies that enhance group O detection and a highly sensitive TRF-based europium nanoparticle for detection. The combination of ANT-152 and C65690M in the ratio 3:1 was able to give significantly higher signals in our europium-based assay compared with using any single antibody.
Liu, Jikun; Mahtani, Prerna; Zhang, Panhe; Du, Bingchen; Ragupathy, Viswanath; Devadas, Krishnakumar
2016-01-01
Abstract Accurate detection and quantification of HIV-1 group O viruses have been challenging for currently available HIV assays. We have developed a novel time-resolved fluorescence (TRF) europium nanoparticle immunoassay for HIV-1 group O detection using a conventional microplate enzyme-linked immunosorbent assay (ELISA) and a microchip platform. We screened several antibodies for optimal reactivity with several HIV-1 group O strains and identified antibodies that can detect all the strains of HIV-1 group O that were available for testing. The antibodies were used to develop a conventional ELISA format assay and an in-house developed europium nanoparticle-based assay for sensitivity. The method was evaluated on both microwell plate and microchip platforms. We identified two specific and sensitive antibodies among the six we screened. The antibodies, C65691 and ANT-152, were able to quantify 15 and detect all 17 group O viruses, respectively, as they were broadly cross-reactive with all HIV-1 group O strains and yielded better signals compared with other antibodies. We have developed a sensitive assay that reflects the actual viral load in group O samples by using an appropriate combination of p24 antibodies that enhance group O detection and a highly sensitive TRF-based europium nanoparticle for detection. The combination of ANT-152 and C65690M in the ratio 3:1 was able to give significantly higher signals in our europium-based assay compared with using any single antibody. PMID:26978478
Dietze, Klaas; Tucakov, Anna; Engel, Tatjana; Wirtz, Sabine; Depner, Klaus; Globig, Anja; Kammerer, Robert; Mouchantat, Susan
2017-01-05
Non-invasive sampling techniques based on the analysis of oral fluid specimen have gained substantial importance in the field of swine herd management. Methodological advances have a focus on endemic viral diseases in commercial pig production. More recently, these approaches have been adapted to non-invasive sampling of wild boar for transboundary animal disease detection for which these effective population level sampling methods have not been available. In this study, a rope-in-a-bait based oral fluid sampling technique was tested to detect classical swine fever virus nucleic acid shedding from experimentally infected domestic pigs. Separated in two groups treated identically, the course of the infection was slightly differing in terms of onset of the clinical signs and levels of viral ribonucleic acid detection in the blood and oral fluid. The technique was capable of detecting classical swine fever virus nucleic acid as of day 7 post infection coinciding with the first detection in conventional oropharyngeal swab samples from some individual animals. Except for day 7 post infection in the "slower onset group", the chances of classical swine fever virus nucleic acid detection in ropes were identical or higher as compared to the individual sampling. With the provided evidence, non-invasive oral fluid sampling at group level can be considered as additional cost-effective detection tool in classical swine fever prevention and control strategies. The proposed methodology is of particular use in production systems with reduced access to veterinary services such as backyard or scavenging pig production where it can be integrated in feeding or baiting practices.
The design and implementation of radar clutter modelling and adaptive target detection techniques
NASA Astrophysics Data System (ADS)
Ali, Mohammed Hussain
The analysis and reduction of radar clutter is investigated. Clutter is the term applied to unwanted radar reflections from land, sea, precipitation, and/or man-made objects. A great deal of useful information regarding the characteristics of clutter can be obtained by the application of frequency domain analytical methods. Thus, some considerable time was spent assessing the various techniques available and their possible application to radar clutter. In order to better understand clutter, use of a clutter model was considered desirable. There are many techniques which will enable a target to be detected in the presence of clutter. One of the most flexible of these is that of adaptive filtering. This technique was thoroughly investigated and a method for improving its efficacy was devised. The modified adaptive filter employed differential adaption times to enhance detectability. Adaptation time as a factor relating to target detectability is a new concept and was investigated in some detail. It was considered desirable to implement the theoretical work in dedicated hardware to confirm that the modified clutter model and the adaptive filter technique actually performed as predicted. The equipment produced is capable of operation in real time and provides an insight into real time DSP applications. This equipment is sufficiently rapid to produce a real time display on the actual PPI system. Finally a software package was also produced which would simulate the operation of a PPI display and thus ease the interpretation of the filter outputs.
Campbell, S; Sheaff, R; Sibbald, B; Marshall, M; Pickard, S; Gask, L; Halliwell, S; Rogers, A; Roland, M
2002-01-01
Objectives: To investigate the concept of clinical governance being advocated by primary care groups/trusts (PCG/Ts), approaches being used to implement clinical governance, and potential barriers to its successful implementation in primary care. Design: Qualitative case studies using semi-structured interviews and documentation review. Setting: Twelve purposively sampled PCG/Ts in England. Participants: Fifty senior staff including chief executives, clinical governance leads, mental health leads, and lay board members. Main outcome measures: Participants' perceptions of the role of clinical governance in PCG/Ts. Results: PCG/Ts recognise that the successful implementation of clinical governance in general practice will require cultural as well as organisational changes, and the support of practices. They are focusing their energies on supporting practices and getting them involved in quality improvement activities. These activities include, but move beyond, conventional approaches to quality assessment (audit, incentives) to incorporate approaches which emphasise corporate and shared learning. PCG/Ts are also engaged in setting up systems for monitoring quality and for dealing with poor performance. Barriers include structural barriers (weak contractual levers to influence general practices), resource barriers (perceived lack of staff or money), and cultural barriers (suspicion by practice staff or problems overcoming the perceived blame culture associated with quality assessment). Conclusion: PCG/Ts are focusing on setting up systems for implementing clinical governance which seek to emphasise developmental and supportive approaches which will engage health professionals. Progress is intentionally incremental but formidable challenges lie ahead, not least reconciling the dual role of supporting practices while monitoring (and dealing with poor) performance. PMID:12078380
Wang, Min; Tian, Yun
2018-01-01
The Canny operator is widely used to detect edges in images. However, as the size of the image dataset increases, the edge detection performance of the Canny operator decreases and its runtime becomes excessive. To improve the runtime and edge detection performance of the Canny operator, in this paper, we propose a parallel design and implementation for an Otsu-optimized Canny operator using a MapReduce parallel programming model that runs on the Hadoop platform. The Otsu algorithm is used to optimize the Canny operator's dual threshold and improve the edge detection performance, while the MapReduce parallel programming model facilitates parallel processing for the Canny operator to solve the processing speed and communication cost problems that occur when the Canny edge detection algorithm is applied to big data. For the experiments, we constructed datasets of different scales from the Pascal VOC2012 image database. The proposed parallel Otsu-Canny edge detection algorithm performs better than other traditional edge detection algorithms. The parallel approach reduced the running time by approximately 67.2% on a Hadoop cluster architecture consisting of 5 nodes with a dataset of 60,000 images. Overall, our approach system speeds up the system by approximately 3.4 times when processing large-scale datasets, which demonstrates the obvious superiority of our method. The proposed algorithm in this study demonstrates both better edge detection performance and improved time performance. PMID:29861711
McKenna, James Patrick; Cox, Ciara; Fairley, Derek John; Burke, Rachael; Shields, Michael D; Watt, Alison; Coyle, Peter Valentine
2017-03-01
Neonatal sepsis caused by Streptococcus agalactiae [group B streptococcus (GBS)] is a life-threatening condition, which is preventable if colonized mothers are identified and given antibiotic prophylaxis during labour. Conventional culture is time consuming and unreliable, and many available non-culture diagnostics are too complex to implement routinely at point of care. Loop-mediated isothermal amplification (LAMP) is a method that, enables the rapid and specific detection of target nucleic acid sequences in clinical materials without the requirement for extensive sample preparation. A prototype LAMP assay targeting GBS sip gene is described. The assay was 100 % specific for GBS, with a limit of detection of 14 genome copies per reaction. The clinical utility of the LAMP assay for rapid direct molecular detection of GBS was determined by testing a total of 157 vaginal swabs with minimal sample processing using a rapid lysis solution. Compared to a reference quantitative real-time PCR assay, the direct LAMP protocol had a sensitivity and specificity of 95.4 and 100 %, respectively, with positive and negative predictive values of 100 and 98.3 %, respectively. Positive and negative likelihood ratios were infinity and 0.05, respectively. The direct LAMP method required a mean time of 45 min from the receipt of a swab to generation of a confirmed result, compared to 2 h 30 min for the reference quantitative real-time PCR test. The direct LAMP protocol described is easy to perform, facilitating rapid and accurate detection of GBS in vaginal swabs. This test has a potential for use at point of care.
Zhou, Wei; Wen, Junhao; Qu, Qiang; Zeng, Jun; Cheng, Tian
2018-01-01
Recommender systems are vulnerable to shilling attacks. Forged user-generated content data, such as user ratings and reviews, are used by attackers to manipulate recommendation rankings. Shilling attack detection in recommender systems is of great significance to maintain the fairness and sustainability of recommender systems. The current studies have problems in terms of the poor universality of algorithms, difficulty in selection of user profile attributes, and lack of an optimization mechanism. In this paper, a shilling behaviour detection structure based on abnormal group user findings and rating time series analysis is proposed. This paper adds to the current understanding in the field by studying the credibility evaluation model in-depth based on the rating prediction model to derive proximity-based predictions. A method for detecting suspicious ratings based on suspicious time windows and target item analysis is proposed. Suspicious rating time segments are determined by constructing a time series, and data streams of the rating items are examined and suspicious rating segments are checked. To analyse features of shilling attacks by a group user's credibility, an abnormal group user discovery method based on time series and time window is proposed. Standard testing datasets are used to verify the effect of the proposed method.
Wen, Junhao; Qu, Qiang; Zeng, Jun; Cheng, Tian
2018-01-01
Recommender systems are vulnerable to shilling attacks. Forged user-generated content data, such as user ratings and reviews, are used by attackers to manipulate recommendation rankings. Shilling attack detection in recommender systems is of great significance to maintain the fairness and sustainability of recommender systems. The current studies have problems in terms of the poor universality of algorithms, difficulty in selection of user profile attributes, and lack of an optimization mechanism. In this paper, a shilling behaviour detection structure based on abnormal group user findings and rating time series analysis is proposed. This paper adds to the current understanding in the field by studying the credibility evaluation model in-depth based on the rating prediction model to derive proximity-based predictions. A method for detecting suspicious ratings based on suspicious time windows and target item analysis is proposed. Suspicious rating time segments are determined by constructing a time series, and data streams of the rating items are examined and suspicious rating segments are checked. To analyse features of shilling attacks by a group user’s credibility, an abnormal group user discovery method based on time series and time window is proposed. Standard testing datasets are used to verify the effect of the proposed method. PMID:29742134
Detecting sub-lunar mass compact objects toward the Local Group galaxies
NASA Astrophysics Data System (ADS)
Inoue, Kaiki Taro
2018-01-01
By monitoring a large number of stars in the Local Group galaxies, we can detect nanolensing events by sub-lunar mass compact objects (SULCOs) such as primordial black holes (PBHs) and rogue (free-floating) dwarf planets in the Milky Way halo. In contarst to microlensing by stellar-mass objects, the finite-source size effect becomes important and the lensing time duration becomes shorter (∼10 1 - 4s). Using stars with V < 26 in M33 as sources, for one-night observation, we would be able to detect 10 3 - 4 nanolensing events caused by SULCOs in the Milky Way halo with a mass of 10-9M⊙ to 10-7M⊙ for sources with S/N > 5 if SULCOs constitute all the dark matter components. Moreover, we expect 10 1 - 2 events in which bright blue stars with S/N > 100 are weakly amplified due to lensing by SULCOs with a mass range of 10-11M⊙ to 10-9M⊙ . Thus the method would open a new window on SULCOs in the Milky Way halo that would otherwise not be observable.
Kamp, Kendall Vande; Rigge, Matthew B.; Troelstrup, Nels H.; Smart, Alexander J.; Wylie, Bruce
2013-01-01
Heavily grazed riparian areas are commonly subject to channel incision, a lower water table, and reduced vegetation, resulting in sediment delivery above normal regimes. Riparian and in-channel vegetation functions as a roughness element and dissipates flow energy, maintaining stable channel geometry. Ash Creek, a tributary of the Bad River in western South Dakota contains a high proportion of incised channels, remnants of historically high grazing pressure. Best management practices (BMP), including off-stream watering sources and cross fencing, were implemented throughout the Bad River watershed during an Environmental Protection Agency (EPA) 319 effort to address high sediment loads. We monitored prairie cordgrass (Spartina pectinata Link) establishment within stream channels for 16 yr following BMP implementation. Photos were used to group stream reaches (n = 103) subjectively into three classes; absent (estimated 40% cover; n = 16) based on the relative amount of prairie cordgrass during 2010 assessments of ephemeral channels. Reaches containing drainage areas of 0.54 to 692 ha were delineated with the use of 2010 National Agriculture Imagery Program (NAIP) imagery. Normalized difference vegetation index (NDVI) values were extracted from 5 to 39 sample points proportional to reach length using a series of Satellite Pour l'Observation de la Terre (SPOT) satellite imagery. Normalized NDVI (nNDVI) of 2 152 sample points were determined from pre- and post-BMP images. Mean nNDVI values for each reach ranged from 0.33 to 1.77. ANOVA revealed significant increase in nNDVI in locations classified as present prairie cordgrass cover following BMP implementation. Establishment of prairie cordgrass following BMP implementation was successfully detected remotely. Riparian vegetation such as prairie cordgrass adds channel roughness that reduces the flow energy responsible for channel degradation.
Jackson, Brendan R.; Tarr, Cheryl; Strain, Errol; Jackson, Kelly A.; Conrad, Amanda; Carleton, Heather; Katz, Lee S.; Stroika, Steven; Gould, L. Hannah; Mody, Rajal K.; Silk, Benjamin J.; Beal, Jennifer; Chen, Yi; Timme, Ruth; Doyle, Matthew; Fields, Angela; Wise, Matthew; Tillman, Glenn; Defibaugh-Chavez, Stephanie; Kucerova, Zuzana; Sabol, Ashley; Roache, Katie; Trees, Eija; Simmons, Mustafa; Wasilenko, Jamie; Kubota, Kristy; Pouseele, Hannes; Klimke, William; Besser, John; Brown, Eric; Allard, Marc; Gerner-Smidt, Peter
2016-01-01
Listeria monocytogenes (Lm) causes severe foodborne illness (listeriosis). Previous molecular subtyping methods, such as pulsed-field gel electrophoresis (PFGE), were critical in detecting outbreaks that led to food safety improvements and declining incidence, but PFGE provides limited genetic resolution. A multiagency collaboration began performing real-time, whole-genome sequencing (WGS) on all US Lm isolates from patients, food, and the environment in September 2013, posting sequencing data into a public repository. Compared with the year before the project began, WGS, combined with epidemiologic and product trace-back data, detected more listeriosis clusters and solved more outbreaks (2 outbreaks in pre-WGS year, 5 in WGS year 1, and 9 in year 2). Whole-genome multilocus sequence typing and single nucleotide polymorphism analyses provided equivalent phylogenetic relationships relevant to investigations; results were most useful when interpreted in context of epidemiological data. WGS has transformed listeriosis outbreak surveillance and is being implemented for other foodborne pathogens. PMID:27090985
Adoption, reach, and implementation of a cancer education intervention in African American churches.
Santos, Sherie Lou Zara; Tagai, Erin K; Scheirer, Mary Ann; Bowie, Janice; Haider, Muhiuddin; Slade, Jimmie; Wang, Min Qi; Holt, Cheryl L
2017-03-14
Use of technology is increasing in health promotion and has continued growth potential in intervention research. Guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, this paper reports on the adoption, reach, and implementation of Project HEAL (Health through Early Awareness and Learning)-a community-based implementation trial of a cancer educational intervention in 14 African American churches. We compare adoption, reach, and implementation at the organizational and participant level for churches in which lay peer community health advisors (CHAs) were trained using traditional classroom didactic methods compared with a new online system. Fifteen churches were randomized to one of two study groups in which two CHAs per church were trained through either classroom ("Traditional"; n = 16 CHAs in 8 churches) or web-based ("Technology"; n = 14 CHAs in 7 churches) training methods. Once trained and certified, all CHAs conducted a series of three group educational workshops in their churches on cancer early detection (breast, prostate, and colorectal). Adoption, reach, and implementation were assessed using multiple data sources including church-level data, participant engagement in the workshops, and study staff observations of CHA performance. The project had a 41% overall adoption rate at the church level. In terms of reach, a total of 375 participants enrolled in Project HEAL-226 participants in the Traditional group (43% reach) and 149 in the Technology group (21% reach; p < .10). Implementation was evaluated in terms of adherence, dosage, and quality. All churches fully completed the three workshops; however, the Traditional churches took somewhat longer (M = 84 days) to complete the workshop series than churches in the Technology group (M = 64 days). Other implementation outcomes were comparable between both the Traditional and Technology groups (p > .05). Overall, the Project HEAL
James, Sigrid; Freeman, Kim; Mayo, Danessa; Riggs, Matt; Morgan, Joshua P.; Schaepper, Mary Ann; Montgomery, Susanne B.
2014-01-01
This paper presents the outcomes of a Dialectical Behavior Treatment (DBT) program, implemented in intensive outpatient care with two groups of adolescents (n=55 and n=45), ages 12–18, who engaged in deliberate self-harm (DSH) but had different insurance/funding sources and risk backgrounds. This pre-post study examined variability in clinical functioning and treatment utilization between the two groups and investigated moderating risk factors. Findings support DBT’s effectiveness in improving clinical functioning for youth with DSH regardless of insurance type. However, lower rates of treatment completion among youth without private insurance call for extra engagement efforts to retain high-risk youth in DBT. PMID:25199812
ERIC Educational Resources Information Center
Tolin, David F.; Steenkamp, Maria M.; Marx, Brian P.; Litz, Brett T.
2010-01-01
Although validity scales of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2; J. N. Butcher, W. G. Dahlstrom, J. R. Graham, A. Tellegen, & B. Kaemmer, 1989) have proven useful in the detection of symptom exaggeration in criterion-group validation (CGV) studies, usually comparing instructed feigners with known patient groups, the…
Traulsen, I; Breitenberger, S; Auer, W; Stamer, E; Müller, K; Krieter, J
2016-06-01
Lameness is an important issue in group-housed sows. Automatic detection systems are a beneficial diagnostic tool to support management. The aim of the present study was to evaluate data of a positioning system including acceleration measurements to detect lameness in group-housed sows. Data were acquired at the Futterkamp research farm from May 2012 until April 2013. In the gestation unit, 212 group-housed sows were equipped with an ear sensor to sample position and acceleration per sow and second. Three activity indices were calculated per sow and day: path length walked by a sow during the day (Path), number of squares (25×25 cm) visited during the day (Square) and variance of the acceleration measurement during the day (Acc). In addition, data on lameness treatments of the sows and a weekly lameness score were used as reference systems. To determine the influence of a lameness event, all indices were analysed in a linear random regression model. Test day, parity class and day before treatment had a significant influence on all activity indices (P<0.05). In healthy sows, indices Path and Square increased with increasing parity, whereas variance slightly decreased. The indices Path and Square showed a decreasing trend in a 14-day period before a lameness treatment and to a smaller extent before a lameness score of 2 (severe lameness). For the index acceleration, there was no obvious difference between the lame and non-lame periods. In conclusion, positioning and acceleration measurements with ear sensors can be used to describe the activity pattern of sows. However, improvements in sampling rate and analysis techniques should be made for a practical application as an automatic lameness detection system.
2013-01-01
Background Group psychoeducation is a cost effective intervention which reduces relapse and improves functioning in bipolar disorder but is rarely implemented. The aim of this study was to identify the acceptability and feasibility of a group psychoeducation programme delivered by community mental health teams (CMHTs) and peer specialist (PS) facilitators. Organisational learning was used to identify and address systematically barriers and enablers, at organisational, health professional and patient levels, to its implementation into a routine service. Methods A systematic examination of barriers and enablers to a three day training process informed the delivery of a first treatment group and a similar process informed the delivery of the second treatment group. Triangulation of research methods improved its internal validity: direct observation of training, self-rated surveys of participant experiences, group discussion, and thematically analysed individual participant and facilitator interviews were employed. Results Barriers and enablers were identified at organisational, educational, treatment content, facilitator and patient levels. All barriers under the control of the research team were addressed with subsequent improvements in patient knowledge about the condition and about local service. In addition, self-management, agency and altruism were enhanced. Barriers that could not be addressed required senior clinical and education leadership outside the research team’s control. PS and professional facilitators were successfully trained and worked together to deliver groups which were generally reported as being beneficial. Conclusion Psychoeducation groups involving CMHT and PS facilitators is acceptable and feasible but their sustainment requires senior leadership within and outside the organisation that control finance and education services. PMID:24215655
Implementation of Sensor and Control Designs for Bioregenerative Systems
NASA Technical Reports Server (NTRS)
Rodriguez, Pedro R. (Editor)
1990-01-01
The goal of the Spring 1990 EGM 4001 Design class was to design, fabricate, and test sensors and control systems for a closed loop life support system (CLLSS). The designs investigated were to contribute to the development of NASA's Controlled Ecological Life Support System (CELSS) at Kennedy Space Center (KSC). Designs included a seed moisture content sensor, a porous medium wetness sensor, a plant health sensor, and a neural network control system. The seed group focused on the design and implementation of a sensor that could detect the moisture content of a seed batch. The porous medium wetness group concentrated on the development of a sensor to monitor the amount of nutrient solution within a porous plate incorporating either infrared reflectance or thermal conductance properties. The plant health group examined the possibility of remotely monitoring the health of the plants within the Biomass Production Chamber (BPC) using infrared reflectance properties. Finally, the neural network group concentrated on the ability to use parallel processing in order to control a robot arm and analyze the data from the health sensor to detect regions of a plant.
NASA Astrophysics Data System (ADS)
Camarero, R.; Thiebaut, C.; Dejean, Ph.; Speciel, A.
2010-08-01
Future CNES high resolution instruments for remote sensing missions will lead to higher data-rates because of the increase in resolution and dynamic range. For example, the ground resolution improvement has induced a data-rate multiplied by 8 from SPOT4 to SPOT5 [1] and by 28 to PLEIADES-HR [2]. Innovative "smart" compression techniques will be then required, performing different types of compression inside a scene, in order to reach higher global compression ratios while complying with image quality requirements. This socalled "selective compression", allows important compression gains by detecting and then differently compressing the regions-of-interest (ROI) and non-interest in the image (e.g. higher compression ratios are assigned to the non-interesting data). Given that most of CNES high resolution images are cloudy [1], significant mass-memory and transmission gain could be reached by just detecting and suppressing (or compressing significantly) the areas covered by clouds. Since 2007, CNES works on a cloud detection module [3] as a simplification for on-board implementation of an already existing module used on-ground for PLEIADES-HR album images [4]. The different steps of this Support Vector Machine classifier have already been analyzed, for simplification and optimization, during this on-board implementation study: reflectance computation, characteristics vector computation (based on multispectral criteria) and computation of the SVM output. In order to speed up the hardware design phase, a new approach based on HLS [5] tools is being tested for the VHDL description stage. The aim is to obtain a bit-true VDHL design directly from a high level description language as C or Matlab/Simulink [6].
Camer, Gerry Amor; Alejandria, Marissa; Amor, Miguel; Satoh, Hiroshi; Muramatsu, Yasukazu; Ueno, Hiroshi; Morita, Chiharu
2003-02-01
A total of 157 sera from febrile patients in the Philippine General Hospital in Manila, Luzon, and the Northern Samar Provincial Hospital, the Philippines, were used. Serum antibodies against spotted fever group Rickettsia (SFGR) and typhus group Rickettsia (TGR) were detected by indirect immunofluorescence test. Antibody positive rates were 1.3% for SFGR (Rickettsia japonica) and 2.5% for TGR (R. typhus), respectively. Rickettsial antibodies in humans in the Philippines were found for the first time. These results underscore the need for further epidemiological study of clinical rickettsioses in the Philippines.
Implementing small group health insurance reform: the HEALTHpact plan of Rhode Island.
Miller, Edward Alan; Trivedi, Amal N; Kuo, Sylvia; Mor, Vincent
2011-12-01
This study analyzes administrative impediments to enrollment in HEALTHpact, a high-deductible plan with premiums capped at 10% of the average Rhode Island wage. HEALTHpact includes an opportunity for enrollees to reduce their deductibles from $5,000 ($10,000 for a family) to $750 ($1,500 for a family) if they engage in prespecified wellness behaviors. A stakeholder panel was convened to develop guidelines for insurers, which, in turn, were required to develop products satisfying those guidelines. Implementation was examined using stakeholder interviews and archival documents. Results indicate that since no funds were allocated for education and monitoring, there was little opportunity to promote "bottom up" demand or to oversee insurers. They also indicate that both insurers and brokers adopted strategies that inhibited take-up. Providing the resources necessary for effective government oversight and outreach will be critical to small group market reform nationally. So too will be promoting broker and insurer buy-in.
Briggs, Charlotte L.; Doubleday, Alison F.
2016-01-01
Inspired by reports of successful outcomes in health profession education literature, peer learning has progressively grown to become a fundamental characteristic of health profession curricula. Many studies, however, are anecdotal or philosophical in nature, particularly when addressing the effectiveness of assessments in the context of peer learning. This commentary provides an overview of the rationale for using group assessments in the basic sciences curriculum of health profession programs and highlights the challenges associated with implementing group assessments in this context. The dearth of appropriate means for measuring group process suggests that professional collaboration competencies need to be more clearly defined. Peer learning educators are advised to enhance their understanding of social psychological research in order to implement best practices in the development of appropriate group assessments for peer learning. PMID:29349309
Briggs, Charlotte L; Doubleday, Alison F
2016-01-01
Inspired by reports of successful outcomes in health profession education literature, peer learning has progressively grown to become a fundamental characteristic of health profession curricula. Many studies, however, are anecdotal or philosophical in nature, particularly when addressing the effectiveness of assessments in the context of peer learning. This commentary provides an overview of the rationale for using group assessments in the basic sciences curriculum of health profession programs and highlights the challenges associated with implementing group assessments in this context. The dearth of appropriate means for measuring group process suggests that professional collaboration competencies need to be more clearly defined. Peer learning educators are advised to enhance their understanding of social psychological research in order to implement best practices in the development of appropriate group assessments for peer learning.
Gu, Jiayan; Maxwell, Annette E; Ma, Grace X; Qian, Xiaokun; Tan, Yin; Hsieh, Hsing-Chuan; Tu, Shin-Ping; Wang, Judy Huei-Yu
2018-04-14
This study evaluated the training of Chinese American Community Health Workers (CHWs) to implement a small-group mammography video and discussion program as part of a randomized controlled trial that had the goal to increase adherence to mammography screening guidelines among Chinese American women. A total of 26 Chinese American CHWs in the metropolitan Washington DC area, Southern California, and New York City participated in a 4-h training workshop and completed surveys before and after the workshop to assess their knowledge regarding mammography screening guidelines and human subjects protection rules. The results showed significantly increased knowledge of mammography screening guidelines and human subjects protection rules (both p < 0.01) after the training. CHWs were also trained to lead a discussion of the video, including screening benefits and misconceptions. Forty-three audio recordings of discussions led by 13 active CHWs were transcribed and qualitatively analyzed to assess implementation fidelity. Ten out of 13 active CHWs fully addressed about 3 of the 5 benefit items, and 11 out of 13 CHWs fully addressed more than 5 of the 9 misconception items. Chinese CHWs can be trained to implement research-based intervention programs. However, a one-time training resulted in moderate adherence to the discussion protocol. Ongoing or repeat trainings throughout the intervention period may be needed to enhance implementation fidelity.
2011-01-01
Background The purpose of this study was to design and evaluate fluorescent in situ hybridization (FISH) probes for the single-cell detection and enumeration of lactic acid bacteria, in particular organisms belonging to the major phylogenetic groups and species of oral lactobacilli and to Abiotrophia/Granulicatella. Results As lactobacilli are known for notorious resistance to probe penetration, probe-specific assay protocols were experimentally developed to provide maximum cell wall permeability, probe accessibility, hybridization stringency, and fluorescence intensity. The new assays were then applied in a pilot study to three biofilm samples harvested from variably demineralized bovine enamel discs that had been carried in situ for 10 days by different volunteers. Best probe penetration and fluorescent labeling of reference strains were obtained after combined lysozyme and achromopeptidase treatment followed by exposure to lipase. Hybridization stringency had to be established strictly for each probe. Thereafter all probes showed the expected specificity with reference strains and labeled the anticipated morphotypes in dental plaques. Applied to in situ grown biofilms the set of probes detected only Lactobacillus fermentum and bacteria of the Lactobacillus casei group. The most cariogenic biofilm contained two orders of magnitude higher L. fermentum cell numbers than the other biofilms. Abiotrophia/Granulicatella and streptococci from the mitis group were found in all samples at high levels, whereas Streptococcus mutans was detected in only one sample in very low numbers. Conclusions Application of these new group- and species-specific FISH probes to oral biofilm-forming lactic acid bacteria will allow a clearer understanding of the supragingival biome, its spatial architecture and of structure-function relationships implicated during plaque homeostasis and caries development. The probes should prove of value far beyond the field of oral microbiology, as many of
van der Meer, Esther W C; van Dongen, Johanna M; Boot, Cécile R L; van der Gulden, Joost W J; Bosmans, Judith E; Anema, Johannes R
2016-05-01
The aim of this study was to evaluate the cost-effectiveness of a multifaceted implementation strategy for the prevention of hand eczema in comparison with a control group among healthcare workers. A total of 48 departments (n=1,649) were randomly allocated to the implementation strategy or the control group. Data on hand eczema and costs were collected at baseline and every 3 months. Cost-effectiveness analyses were performed using linear multilevel analyses. The probability of the implementation strategy being cost-effective gradually increased with an increasing willingness-to-pay, to 0.84 at a ceiling ratio of €590,000 per person with hand eczema prevented (societal perspective). The implementation strategy appeared to be not cost-effective in comparison with the control group (societal perspective), nor was it cost-beneficial to the employer. However, this study had some methodological problems which should be taken into account when interpreting the results.
A Real-Time Earthquake Precursor Detection Technique Using TEC from a GPS Network
NASA Astrophysics Data System (ADS)
Alp Akyol, Ali; Arikan, Feza; Arikan, Orhan
2016-07-01
Anomalies have been observed in the ionospheric electron density distribution prior to strong earthquakes. However, most of the reported results are obtained by earthquake analysis. Therefore, their implementation in practice is highly problematic. Recently, a novel earthquake precursor detection technique based on spatio-temporal analysis of Total Electron Content (TEC) data obtained from Turkish National Permanent GPS Network (TNPGN) is developed by IONOLAB group (www.ionolab.org). In the present study, the developed detection technique is implemented in a causal setup over the available data set in test phase that enables the real time implementation. The performance of the developed earthquake prediction technique is evaluated by using 10 fold cross validation over the data obtained in 2011. Among the 23 earthquakes that have magnitudes higher than 5, the developed technique can detect precursors of 14 earthquakes while producing 8 false alarms. This study is supported by TUBITAK 115E915 and Joint TUBITAK 114E092 and AS CR 14/001 projects.
Chhim, Srean; Macom, John; Pav, Chettana; Nim, Nirada; Yun, Phearun; Seng, Sopheap; Chhim, Kolab; Tuot, Sovannary; Yi, Siyan
2017-10-18
Early HIV diagnosis and initiation onto antiretroviral therapy may prevent ongoing spread of HIV. Risk Tracing Snowball Approach (RTSA) has been shown to be effective in detecting new HIV cases in other settings. The main objective of this study is to evaluate the effectiveness of RTSA in increasing the rate of newly identified HIV cases among high-risk populations. Our second objective was to evaluate the effectiveness of RTSA, as compared to the walk-in group, in increasing the number of HIV tests and early case detection. This study was conducted from April 1 to September 30, 2016 at two NGO clinics in Phnom Penh, Cambodia. Respondent driven sampling method was adapted to develop RTSA to reach high-risk populations, including key populations and the general population who have social connections with key populations. Bivariate and multivariate logistic regression analyses were conducted. During the implementation period, 721 clients walked in for HIV testing (walk-in group), and all were invited to be seeds. Of the invited clients, 36.6% agreed to serve as seeds. Throughout the implementation, 6195 coupons were distributed to seeds or recruiters, and resulted in 1572 clients visiting the two clinics with coupons (RTSA group), for a coupon return rate of 25.3%. The rate of newly identified HIV cases among the RTSA group was significantly lower compared to that in walk-in group. However, the highest number of newly identified HIV cases was found during the implementation period, compared to both pre- and post-implementation period. Although statistically not significant, the mean CD4 count of newly identified HIV cases detected through RTSA was almost 200 cells/mm3 higher than that in the walk-in group. Although the rate of newly identified HIV cases among the RTSA group was lower than that in the walk-in group, the inclusion of RTSA in addition to the traditional walk-in method boosted new HIV case detection in the two participating clinics. A higher mean CD4
NASA Astrophysics Data System (ADS)
Medland, A. J.; Zhu, Guowang; Gao, Jian; Sun, Jian
1996-03-01
Feature conversion, also called feature transformation and feature mapping, is defined as the process of converting features from one view of an object to another view of the object. In a relatively simple implementation, for each application the design features are automatically converted into features specific for that application. All modifications have to be made via the design features. This is the approach that has attracted most attention until now. In the ideal situation, however, conversions directly from application views to the design view, and to other applications views, are also possible. In this paper, some difficulties faced in feature conversion are discussed. A new representation scheme of feature-based parts models has been proposed for the purpose of one-way feature conversion. The parts models consist of five different levels of abstraction, extending from an assembly level and its attributes, single parts and their attributes, single features and their attributes, one containing the geometric reference element and finally one for detailed geometry. One implementation of feature conversion for rotational components within GT (Group Technology) has already been undertaken using an automated coding procedure operating on a design-feature database. This database has been generated by a feature-based design system, and the GT coding scheme used in this paper is a specific scheme created for a textile machine manufacturing plant. Such feature conversion techniques presented here are only in their early stages of development and further research is underway.
Stein, Melissa R.; Soloway, Irene J.; Jefferson, Karen S.; Roose, Robert J.; Arnsten, Julia H.; Litwin, Alain H.
2012-01-01
Chronic hepatitis C virus (HCV) infection is highly prevalent among current and former drug users. However, the minority of patients enrolled in drug treatment programs have initiated HCV treatment. New models are needed to overcome barriers to care. In this retrospective study, we describe the implementation and outcomes of 42 patients treated in a Concurrent Group Treatment (CGT) program. Patients participated in weekly provider-led group treatment sessions which included review of side effects; discussion of adherence and side effect management; administration of interferon injections; brief physical exam; and ended with brief meditation. Of the first 27 patients who initiated CGT, 42% achieved a sustained viral response. Additionally, 87% (13/15) of genotype-1 infected patients treated with direct acting antiviral agent achieved an undetectable viral load at 24 weeks. The CGT model may be effective in overcoming barriers to treatment and improving adherence and outcomes among patients enrolled in drug treatment programs. PMID:23036920
Jensen, Maj-Britt; Laenkholm, Anne-Vibeke; Offersen, Birgitte V; Christiansen, Peer; Kroman, Niels; Mouridsen, Henning T; Ejlertsen, Bent
2018-01-01
Since 40 years, Danish Breast Cancer Cooperative Group (DBCG) has provided comprehensive guidelines for diagnosis and treatment of breast cancer. This population-based analysis aimed to describe the plurality of modifications introduced over the past 10 years in the national Danish guidelines for the management of early breast cancer. By use of the clinical DBCG database we analyze the effectiveness of the implementation of guideline revisions in Denmark. From the DBCG guidelines we extracted modifications introduced in 2007-2016 and selected examples regarding surgery, radiotherapy (RT) and systemic treatment. We assessed introduction of modifications from release on the DBCG webpage to change in clinical practice using the DBCG clinical database. Over a 10-year period data from 48,772 patients newly diagnosed with malignant breast tumors were entered into DBCG's clinical database and 42,197 of these patients were diagnosed with an invasive carcinoma following breast conserving surgery (BCS) or mastectomy. More than twenty modifications were introduced in the guidelines. Implementations, based on prospectively collected data, varied widely; exemplified with around one quarter of the patients not treated according to a specific guideline within one year from the introduction, to an almost immediate full implantation. Modifications of the DBCG guidelines were generally well implemented, but the time to full implementation varied from less than one year up to around five years. Our data is registry based and does not allow a closer analysis of the causes for delay in implementation of guideline modifications.
Implementing Group Medical Visits for Older Adults at Group Health Cooperative
Levine, Martin D.; Ross, Tyler R.; Balderson, Benjamin H.K.; Phelan, Elizabeth A.
2010-01-01
In a pair of randomized controlled trials in Kaiser Colorado in the 1990s, Group Visits for older adults (monthly non disease-specific group medical appointments for a cohort of patients led by primary care teams) were proven to reduce costs, decrease hospitalizations, and improve patient and provider satisfaction. As part of a translational effort, this Group Visit intervention was replicated in a delivery system in Seattle, WA, and the log of total health care costs measured in the first year of the intervention. Utilization and patient and physician satisfaction were secondary outcomes. For the cost and utilization analysis, a retrospective case-control design compared 221 case patients 65 years of age and older with high outpatient utilization in the previous 18 months with 1,015 control patient selected randomly from clinics not participating in the intervention. Controls were matched to cases on the number of primary care visits in the prior 18 months. Total costs were not statistically different for intervention patients compared to controls ($8,845 vs. $10,288, p=0.11), nor were there statistically significant differences in utilization, including hospital admissions and outpatient visits. However, patient and provider satisfaction was high. This translational effort did not demonstrate the cost savings of the original efficacy trials. Possible explanations for these divergent results may have to do with differences in those who participated and differences between the two delivery systems. PMID:20002506
Use of Granada Medium To Detect Group B Streptococcal Colonization in Pregnant Women
Rosa-Fraile, Manuel; Rodriguez-Granger, Javier; Cueto-Lopez, Marina; Sampedro, Antonio; Gaye, Enrique Biel; Haro, José Manuel; Andreu, Antonia
1999-01-01
Direct inoculation onto Granada medium (GM) in plates and tubes was compared to inoculation into a selective Todd-Hewitt broth (with 8 μg of gentamicin per ml and 15 μg of nalidixic acid per ml) for detection of group B streptococci (GBS) in pregnant women with 800 vaginal and 450 vaginoanorectal samples. Comparatively, GM was found to be as sensitive as the selective broth for the detection of GBS in vaginal specimens and more sensitive than selective broth for the detection of GBS in vaginoanorectal samples (96 versus 82%). The use of GM improved the time to reporting of a GBS-positive result by at least 24 h and reduced the direct cost of screening. We have also found that the inconvenience of anaerobic incubation of GM plates can be avoided when a cover slide is placed upon the inoculum, because aerobic incubation in GM plates with cover slides causes GBS to develop the same pigmentation that it develops with incubation under anaerobic conditions. These data support the routine use of GM plates or tubes as a more accurate, easier, and cheaper method of identification of GBS-colonized women compared to the enrichment broth technique. PMID:10405420
An Automated Detection System for Microaneurysms That Is Effective across Different Racial Groups.
Saleh, George Michael; Wawrzynski, James; Caputo, Silvestro; Peto, Tunde; Al Turk, Lutfiah Ismail; Wang, Su; Hu, Yin; Da Cruz, Lyndon; Smith, Phil; Tang, Hongying Lilian
2016-01-01
Patients without diabetic retinopathy (DR) represent a large proportion of the caseload seen by the DR screening service so reliable recognition of the absence of DR in digital fundus images (DFIs) is a prime focus of automated DR screening research. We investigate the use of a novel automated DR detection algorithm to assess retinal DFIs for absence of DR. A retrospective, masked, and controlled image-based study was undertaken. 17,850 DFIs of patients from six different countries were assessed for DR by the automated system and by human graders. The system's performance was compared across DFIs from the different countries/racial groups. The sensitivities for detection of DR by the automated system were Kenya 92.8%, Botswana 90.1%, Norway 93.5%, Mongolia 91.3%, China 91.9%, and UK 90.1%. The specificities were Kenya 82.7%, Botswana 83.2%, Norway 81.3%, Mongolia 82.5%, China 83.0%, and UK 79%. There was little variability in the calculated sensitivities and specificities across the six different countries involved in the study. These data suggest the possible scalability of an automated DR detection platform that enables rapid identification of patients without DR across a wide range of races.
The collaboration of grouping laws in vision.
Grompone von Gioi, Rafael; Delon, Julie; Morel, Jean-Michel
2012-01-01
Gestalt theory gives a list of geometric grouping laws that could in principle give a complete account of human image perception. Based on an extensive thesaurus of clever graphical images, this theory discusses how grouping laws collaborate, and conflict toward a global image understanding. Unfortunately, as shown in the bibliographical analysis herewith, the attempts to formalize the grouping laws in computer vision and psychophysics have at best succeeded to compute individual partial structures (or partial gestalts), such as alignments or symmetries. Nevertheless, we show here that a never formalized clever Gestalt experimental procedure, the Nachzeichnung suggests a numerical set up to implement and test the collaboration of partial gestalts. The new computational procedure proposed here analyzes a digital image, and performs a numerical simulation that we call Nachtanz or Gestaltic dance. In this dance, the analyzed digital image is gradually deformed in a random way, but maintaining the detected partial gestalts. The resulting dancing images should be perceptually indistinguishable if and only if the grouping process was complete. Like the Nachzeichnung, the Nachtanz permits a visual exploration of the degrees of freedom still available to a figure after all partial groups (or gestalts) have been detected. In the new proposed procedure, instead of drawing themselves, subjects will be shown samples of the automatic Gestalt dances and required to evaluate if the figures are similar. Several numerical preliminary results with this new Gestaltic experimental setup are thoroughly discussed. Copyright © 2012 Elsevier Ltd. All rights reserved.
de Juan-Franco, Elena; Rodríguez-Frade, J M; Mellado, M; Lechuga, Laura M
2013-09-30
We have implemented a Surface Plasmon Resonance (SPR) immunosensor based on a sandwich assay for the simultaneous detection of the two main hGH isoforms, of 22 kDa (22K) and 20 kDa (20K). An oriented-antibody sensor surface specific for both hormone isoforms was assembled by using the biotin-streptavidin system. The immunosensor functionality was checked for the direct detection of the 22K hGH isoform in buffer, which gave high specificity and reproducibility (intra and inter-assay mean coefficients of variation of 8.23% and 9% respectively). The selective determination of the 22K and 20K hGH isoforms in human serum samples in a single assay was possible by using two specific anti-hGH monoclonal antibodies. The detection limit for both hormone isoforms was 0.9 ng mL(-1) and the mean coefficient of variation was below 7.2%. The excellent reproducibility and sensitivity obtained indicate the high performance of this immunosensor for implementing an anti-doping test. Copyright © 2013 Elsevier B.V. All rights reserved.
Busetto, Loraine; Luijkx, Katrien; Huizing, Anna; Vrijhoef, Bert
2015-08-21
Even though previous research has demonstrated improved outcomes of integrated care initiatives, it is not clear why and when integrated care works. This study aims to contribute to filling this knowledge gap by examining the implementation of integrated care for type 2 diabetes by two Dutch care groups. An embedded single case study was conducted including 26 interviews with management staff, care purchasers and health professionals. The Context + Mechanism = Outcome Model was used to study the relationship between context factors, mechanisms and outcomes. Dutch integrated care involves care groups, bundled payments, patient involvement, health professional cooperation and task substitution, evidence-based care protocols and a shared clinical information system. Community involvement is not (yet) part of Dutch integrated care. Barriers to the implementation of integrated care included insufficient integration between the patient databases, decreased earnings for some health professionals, patients' insufficient medical and policy-making expertise, resistance by general practitioner assistants due to perceived competition, too much care provided by practice nurses instead of general practitioners and the funding system incentivising the provision of care exactly as described in the care protocols. Facilitators included performance monitoring via the care chain information system, increased earnings for some health professionals, increased focus on self-management, innovators in primary and secondary care, diabetes nurses acting as integrators and financial incentives for guideline adherence. Economic and political context and health IT-related barriers were discussed as the most problematic areas of integrated care implementation. The implementation of integrated care led to improved communication and cooperation but also to insufficient and unnecessary care provision and deteriorated preconditions for person-centred care. Dutch integrated diabetes care is still a
Improvement and implementation for Canny edge detection algorithm
NASA Astrophysics Data System (ADS)
Yang, Tao; Qiu, Yue-hong
2015-07-01
Edge detection is necessary for image segmentation and pattern recognition. In this paper, an improved Canny edge detection approach is proposed due to the defect of traditional algorithm. A modified bilateral filter with a compensation function based on pixel intensity similarity judgment was used to smooth image instead of Gaussian filter, which could preserve edge feature and remove noise effectively. In order to solve the problems of sensitivity to the noise in gradient calculating, the algorithm used 4 directions gradient templates. Finally, Otsu algorithm adaptively obtain the dual-threshold. All of the algorithm simulated with OpenCV 2.4.0 library in the environments of vs2010, and through the experimental analysis, the improved algorithm has been proved to detect edge details more effectively and with more adaptability.
Section summary: Institutional context, drivers and detectability in REDD+ implementation
Patricia Manley
2013-01-01
REDD+ and Forest DegradationREDD+ implementation requires two key steps: (1) establish a reference emission level or reference level (RL); and (2) monitor performance against the reference level (RL). A monitoring system must be able to monitor the performance of implementing action plans to reduce emissions....
FOCUS School-Based Skill-Building Groups: Training and Implementation
ERIC Educational Resources Information Center
Garcia, Ediza; De Pedro, Kris Tunac; Astor, Ron Avi; Lester, Patricia; Benbenishty, Rami
2015-01-01
Military children encounter unique stressors that can affect their social and emotional well-being. These challenges can serve as a risk to the military child's successful academic performance. This study fills a much-needed research gap by examining the training and implementation of a public school-based intervention, Families OverComing Under…
Detection of group a streptococcal pharyngitis by quantitative PCR.
Dunne, Eileen M; Marshall, Julia L; Baker, Ciara A; Manning, Jayne; Gonis, Gena; Danchin, Margaret H; Smeesters, Pierre R; Satzke, Catherine; Steer, Andrew C
2013-07-11
Group A streptococcus (GAS) is the most common bacterial cause of sore throat. School-age children bear the highest burden of GAS pharyngitis. Accurate diagnosis is difficult: the majority of sore throats are viral in origin, culture-based identification of GAS requires 24-48 hours, and up to 15% of children are asymptomatic throat carriers of GAS. The aim of this study was to develop a quantitative polymerase chain reaction (qPCR) assay for detecting GAS pharyngitis and assess its suitability for clinical diagnosis. Pharyngeal swabs were collected from children aged 3-18 years (n = 91) and adults (n = 36) located in the Melbourne area who presented with sore throat. Six candidate PCR assays were screened using a panel of reference isolates, and two of these assays, targeting speB and spy1258, were developed into qPCR assays. The qPCR assays were compared to standard culture-based methods for their ability to detect GAS pharyngitis. GAS isolates from culture positive swabs underwent emm-typing. Clinical data were used to calculate McIsaac scores as an indicator of disease severity. Twenty-four of the 127 samples (18.9%) were culture-positive for GAS, and all were in children (26%). The speB qPCR had 100% sensitivity and 100% specificity compared with gold-standard culture, whereas the spy1258 qPCR had 87% sensitivity and 100% specificity. Nine different emm types were found, of which emm 89, 3, and 28 were most common. Bacterial load as measured by qPCR correlated with culture load. There were no associations between symptom severity as indicated by McIsaac scores and GAS bacterial load. The speB qPCR displayed high sensitivity and specificity and may be a useful tool for GAS pharyngitis diagnosis and research.
Implementing a short-term family support group.
Koontz, E; Cox, D; Hastings, S
1991-05-01
1. Although family involvement has been increasingly recognized as a vital component in the treatment and care of the mentally ill, little has been written about efforts to provide education and support to the families of patients hospitalized for short-term evaluation and treatment. 2. The family education and support group provided emotional support and critical information to increase family members' coping and problem solving abilities, and enabled them to return to a pre-crisis or higher level of functioning. 3. The family education and support group not only enhances the assessment and planning phases of the nursing process, but it also can serve as a useful intervention for strengthening the patient's major support system.
A comparison of moving object detection methods for real-time moving object detection
NASA Astrophysics Data System (ADS)
Roshan, Aditya; Zhang, Yun
2014-06-01
Moving object detection has a wide variety of applications from traffic monitoring, site monitoring, automatic theft identification, face detection to military surveillance. Many methods have been developed across the globe for moving object detection, but it is very difficult to find one which can work globally in all situations and with different types of videos. The purpose of this paper is to evaluate existing moving object detection methods which can be implemented in software on a desktop or laptop, for real time object detection. There are several moving object detection methods noted in the literature, but few of them are suitable for real time moving object detection. Most of the methods which provide for real time movement are further limited by the number of objects and the scene complexity. This paper evaluates the four most commonly used moving object detection methods as background subtraction technique, Gaussian mixture model, wavelet based and optical flow based methods. The work is based on evaluation of these four moving object detection methods using two (2) different sets of cameras and two (2) different scenes. The moving object detection methods have been implemented using MatLab and results are compared based on completeness of detected objects, noise, light change sensitivity, processing time etc. After comparison, it is observed that optical flow based method took least processing time and successfully detected boundary of moving objects which also implies that it can be implemented for real-time moving object detection.
Sahin, Yasar Guneri; Ercan, Tuncay
2008-01-01
Terrorism is the greatest threat to national security and cannot be defeated by conventional military force alone. In critical areas such as Iraq, Afghanistan and Turkey, regular forces cannot reach these hostile/terrorist groups, the instigators of terrorism. These groups have a clear understanding of the relative ineffectiveness of counter-guerrilla operations and rely on guerrilla warfare to avoid major combat as their primary means of continuing the conflict with the governmental structures. In Internal Security Operations, detection of terrorist and hostile groups in their hiding places such as caves, lairs, etc. can only be achieved by professionally trained people such as Special Forces or intelligence units with the necessary experience and tools suitable for collecting accurate information in these often harsh, rugged and mountainous countries. To assist these forces, commercial micro-sensors with wireless interfaces could be utilized to study and monitor a variety of phenomena and environments from a certain distance for military purposes. In order to locate hidden terrorist groups and enable more effective use of conventional military resources, this paper proposes an active remote sensing model implanted into animals capable of living in these environments. By using these mobile sensor devices, improving communications for data transfer from the source, and developing better ways to monitor and detect threats, terrorist ability to carry out attacks can be severely disrupted. PMID:27879941
Sahin, Yasar Guneri; Ercan, Tuncay
2008-07-25
Terrorism is the greatest threat to national security and cannot be defeated by conventional military force alone. In critical areas such as Iraq, Afghanistan and Turkey, regular forces cannot reach these hostile/terrorist groups, the instigators of terrorism. These groups have a clear understanding of the relative ineffectiveness of counter-guerrilla operations and rely on guerrilla warfare to avoid major combat as their primary means of continuing the conflict with the governmental structures. In Internal Security Operations, detection of terrorist and hostile groups in their hiding places such as caves, lairs, etc. can only be achieved by professionally trained people such as Special Forces or intelligence units with the necessary experience and tools suitable for collecting accurate information in these often harsh, rugged and mountainous countries. To assist these forces, commercial micro-sensors with wireless interfaces could be utilized to study and monitor a variety of phenomena and environments from a certain distance for military purposes. In order to locate hidden terrorist groups and enable more effective use of conventional military resources, this paper proposes an active remote sensing model implanted into animals capable of living in these environments. By using these mobile sensor devices, improving communications for data transfer from the source, and developing better ways to monitor and detect threats, terrorist ability to carry out attacks can be severely disrupted.
NASA Astrophysics Data System (ADS)
Septiani, A.; Rustaman, N. Y.
2017-02-01
A descriptive study about the implementation of performance assessment in STEM based instruction was carried out to investigate the tenth grade of Vocational school students’ science process skills during the teaching learning processes. A number of tenth grade agriculture students was involved as research subjects selected through cluster random sampling technique (n=35). Performance assessment was planned on skills during the teaching learning process through observation and on product resulted from their engineering practice design. The procedure conducted in this study included thinking phase (identifying problem and sharing idea), designing phase, construction phase, and evaluation phase. Data was collected through the use of science process skills (SPS) test, observation sheet on student activity, as well as tasks and rubrics for performance assessment during the instruction. Research findings show that the implementation of performance assessment in STEM education in planting media could detect students science process skills better from the observation individually compared through SPS test. It was also found that the result of performance assessment was diverse when it was correlated to each indicator of SPS (strong and positive; weak and positive).
NASA Astrophysics Data System (ADS)
Aghamaleki, Javad Abbasi; Behrad, Alireza
2018-01-01
Double compression detection is a crucial stage in digital image and video forensics. However, the detection of double compressed videos is challenging when the video forger uses the same quantization matrix and synchronized group of pictures (GOP) structure during the recompression history to conceal tampering effects. A passive approach is proposed for detecting double compressed MPEG videos with the same quantization matrix and synchronized GOP structure. To devise the proposed algorithm, the effects of recompression on P frames are mathematically studied. Then, based on the obtained guidelines, a feature vector is proposed to detect double compressed frames on the GOP level. Subsequently, sparse representations of the feature vectors are used for dimensionality reduction and enrich the traces of recompression. Finally, a support vector machine classifier is employed to detect and localize double compression in temporal domain. The experimental results show that the proposed algorithm achieves the accuracy of more than 95%. In addition, the comparisons of the results of the proposed method with those of other methods reveal the efficiency of the proposed algorithm.
Daher, Rana K; Stewart, Gale; Boissinot, Maurice; Bergeron, Michel G
2014-04-01
Group B streptococcal infections are the leading cause of sepsis and meningitis in newborns. A rapid and reliable method for the detection of this pathogen at the time of delivery is needed for the early treatment of neonates. Isothermal amplification techniques such as recombinase polymerase amplification have advantages relative to PCR in terms of the speed of reaction and simplicity. We studied the clinical performance of recombinase polymerase amplification for the screening of group B streptococci in vaginal/anal samples from 50 pregnant women. We also compared the limit of detection and the analytical specificity of this isothermal assay to real-time PCR (RT-PCR). Compared to RT-PCR, the recombinase polymerase amplification assay showed a clinical sensitivity of 96% and a clinical specificity of 100%. The limit of detection was 98 genome copies and the analytical specificity was 100% for a panel of 15 bacterial and/or fungal strains naturally found in the vaginal/anal flora. Time-to-result for the recombinase polymerase amplification assay was <20 min compared to 45 min for the RT-PCR assay; a positive sample could be detected as early as 8 min. We demonstrate the potential of isothermal recombinase polymerase amplification assay as a clinically useful molecular diagnostic tool that is simple and faster than PCR/RT-PCR. Recombinase polymerase amplification offers great potential for nucleic acid-based diagnostics at the point of care.
Davide Rassati; Massimo Faccoli; Lorenzo Marini; Robert A. Haack; Andrea Battisti; Edoardo Petrucco Toffolo
2015-01-01
Non-native wood-boring beetles (Coleoptera) represent one of the most commonly intercepted groups of insects at ports worldwide. The development of early detection methods is a crucial step when implementing rapid response programs so that non-native wood-boring beetles can be quickly detected and a timely action plan can be produced. However, due to the limited...
Jackson, Brendan R; Tarr, Cheryl; Strain, Errol; Jackson, Kelly A; Conrad, Amanda; Carleton, Heather; Katz, Lee S; Stroika, Steven; Gould, L Hannah; Mody, Rajal K; Silk, Benjamin J; Beal, Jennifer; Chen, Yi; Timme, Ruth; Doyle, Matthew; Fields, Angela; Wise, Matthew; Tillman, Glenn; Defibaugh-Chavez, Stephanie; Kucerova, Zuzana; Sabol, Ashley; Roache, Katie; Trees, Eija; Simmons, Mustafa; Wasilenko, Jamie; Kubota, Kristy; Pouseele, Hannes; Klimke, William; Besser, John; Brown, Eric; Allard, Marc; Gerner-Smidt, Peter
2016-08-01
Listeria monocytogenes (Lm) causes severe foodborne illness (listeriosis). Previous molecular subtyping methods, such as pulsed-field gel electrophoresis (PFGE), were critical in detecting outbreaks that led to food safety improvements and declining incidence, but PFGE provides limited genetic resolution. A multiagency collaboration began performing real-time, whole-genome sequencing (WGS) on all US Lm isolates from patients, food, and the environment in September 2013, posting sequencing data into a public repository. Compared with the year before the project began, WGS, combined with epidemiologic and product trace-back data, detected more listeriosis clusters and solved more outbreaks (2 outbreaks in pre-WGS year, 5 in WGS year 1, and 9 in year 2). Whole-genome multilocus sequence typing and single nucleotide polymorphism analyses provided equivalent phylogenetic relationships relevant to investigations; results were most useful when interpreted in context of epidemiological data. WGS has transformed listeriosis outbreak surveillance and is being implemented for other foodborne pathogens. Published by Oxford University Press for the Infectious Diseases Society of America 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.
Detection of a typhus group Rickettsia in Amblyomma ticks in the state of Nuevo Leon, Mexico.
Medina-Sanchez, Aaron; Bouyer, Donald H; Alcantara-Rodriguez, Virginia; Mafra, Claudio; Zavala-Castro, Jorge; Whitworth, Ted; Popov, Vsevolod L; Fernandez-Salas, Ildefonso; Walker, David H
2005-12-01
The state of Nuevo Leon, Mexico has had outbreaks of typhus group rickettsiosis, most recently recognized in 1997. Evaluation of the sera of 345 patients with a dengue-like illness revealed that 25.5% had antibodies reactive with typhus group rickettsiae and 16% had antibodies to Rickettsia parkeri. Rickettsiae were detected by PCR and shell-vial isolations in the field-collected Amblyomma ticks. Molecular characterization by DNA sequence analysis of the gltA, ompB, and 17-kDa gene identified the organisms to be R. prowazekii.
Tolin, David F; Steenkamp, Maria M; Marx, Brian P; Litz, Brett T
2010-12-01
Although validity scales of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2; J. N. Butcher, W. G. Dahlstrom, J. R. Graham, A. Tellegen, & B. Kaemmer, 1989) have proven useful in the detection of symptom exaggeration in criterion-group validation (CGV) studies, usually comparing instructed feigners with known patient groups, the application of these scales has been problematic when assessing combat veterans undergoing posttraumatic stress disorder (PTSD) examinations. Mixed group validation (MGV) was employed to determine the efficacy of MMPI-2 exaggeration scales in compensation-seeking (CS) and noncompensation-seeking (NCS) veterans. Unlike CGV, MGV allows for a mix of exaggerating and nonexaggerating individuals in each group, does not require that the exaggeration versus nonexaggerating status of any individual be known, and can be adjusted for different base-rate estimates. MMPI-2 responses of 377 male veterans were examined according to CS versus NCS status. MGV was calculated using 4 sets of base-rate estimates drawn from the literature. The validity scales generally performed well (adequate sensitivity, specificity, and efficiency) under most base-rate estimations, and most produced cutoff scores that showed adequate detection of symptom exaggeration, regardless of base-rate assumptions. These results support the use of MMPI-2 validity scales for PTSD evaluations in veteran populations, even under varying base rates of symptom exaggeration.
Groups of adjacent contour segments for object detection.
Ferrari, V; Fevrier, L; Jurie, F; Schmid, C
2008-01-01
We present a family of scale-invariant local shape features formed by chains of k connected, roughly straight contour segments (kAS), and their use for object class detection. kAS are able to cleanly encode pure fragments of an object boundary, without including nearby clutter. Moreover, they offer an attractive compromise between information content and repeatability, and encompass a wide variety of local shape structures. We also define a translation and scale invariant descriptor encoding the geometric configuration of the segments within a kAS, making kAS easy to reuse in other frameworks, for example as a replacement or addition to interest points. Software for detecting and describing kAS is released on lear.inrialpes.fr/software. We demonstrate the high performance of kAS within a simple but powerful sliding-window object detection scheme. Through extensive evaluations, involving eight diverse object classes and more than 1400 images, we 1) study the evolution of performance as the degree of feature complexity k varies and determine the best degree; 2) show that kAS substantially outperform interest points for detecting shape-based classes; 3) compare our object detector to the recent, state-of-the-art system by Dalal and Triggs [4].
USDA-ARS?s Scientific Manuscript database
To detect and monitor G-group aflatoxins in agricultural products, we generated class-specific monoclonal antibodies that specifically recognized aflatoxins G1 and G2. Of the final three positive and stable hybridomas obtained, hybridoma 2G6 produced a monoclonal antibody that did not cross-react wi...
A New M Dwarf Debris Disk Candidate in a Young Moving Group Discovered with Disk Detective
NASA Technical Reports Server (NTRS)
Silverberg, Steven M.; Kuchner, Marc J.; Wisniewski, John P.; Gagne, Jonathan; Bans, Alissa S.; Bhattacharjee, Shambo; Currie, Thayne R.; Debes, John R.; Biggs, Joseph R; Bosch, Milton
2016-01-01
We used the Disk Detective citizen science project and the BANYAN II Bayesian analysis tool to identify a new candidate member of a nearby young association with infrared excess. WISE J080822.18-644357.3, an M5.5-type debris disk system with significant excess at both 12 and 22 microns, is a likely member (approx.90% BANYAN II probability) of the approx.45 Myr old Carina association. Since this would be the oldest M dwarf debris disk detected in a moving group, this discovery could be an important constraint on our understanding of M dwarf debris disk evolution.
Hügelschäfer, Sabine; Jaudas, Alexander; Achtziger, Anja
2016-10-15
Gender categorization is highly automatic. Studies measuring ERPs during the presentation of male and female faces in a categorization task showed that this categorization is extremely quick (around 130ms, indicated by the N170). We tested whether this automatic process can be controlled by goal intentions and implementation intentions. First, we replicated the N170 modulation on gender-incongruent faces as reported in previous research. This effect was only observed in a task in which faces had to be categorized according to gender, but not in a task that required responding to a visual feature added to the face stimuli (the color of a dot) while gender was irrelevant. Second, it turned out that the N170 modulation on gender-incongruent faces was altered if a goal intention was set that aimed at controlling a gender bias. We interpret this finding as an indicator of nonconscious goal pursuit. The N170 modulation was completely absent when this goal intention was furnished with an implementation intention. In contrast, intentions did not alter brain activity at a later time window (P300), which is associated with more complex and rather conscious processes. In line with previous research, the P300 was modulated by gender incongruency even if individuals were strongly involved in another task, demonstrating the automaticity of gender detection. We interpret our findings as evidence that automatic gender categorization that occurs at a very early processing stage can be effectively controlled by intentions. Copyright © 2016 Elsevier B.V. All rights reserved.
An FPGA Implementation to Detect Selective Cationic Antibacterial Peptides
Polanco González, Carlos; Nuño Maganda, Marco Aurelio; Arias-Estrada, Miguel; del Rio, Gabriel
2011-01-01
Exhaustive prediction of physicochemical properties of peptide sequences is used in different areas of biological research. One example is the identification of selective cationic antibacterial peptides (SCAPs), which may be used in the treatment of different diseases. Due to the discrete nature of peptide sequences, the physicochemical properties calculation is considered a high-performance computing problem. A competitive solution for this class of problems is to embed algorithms into dedicated hardware. In the present work we present the adaptation, design and implementation of an algorithm for SCAPs prediction into a Field Programmable Gate Array (FPGA) platform. Four physicochemical properties codes useful in the identification of peptide sequences with potential selective antibacterial activity were implemented into an FPGA board. The speed-up gained in a single-copy implementation was up to 108 times compared with a single Intel processor cycle for cycle. The inherent scalability of our design allows for replication of this code into multiple FPGA cards and consequently improvements in speed are possible. Our results show the first embedded SCAPs prediction solution described and constitutes the grounds to efficiently perform the exhaustive analysis of the sequence-physicochemical properties relationship of peptides. PMID:21738652
Gandaglia, Giorgio; Bravi, Carlo Andrea; Dell'Oglio, Paolo; Mazzone, Elio; Fossati, Nicola; Scuderi, Simone; Robesti, Daniele; Barletta, Francesco; Grillo, Luca; Maclennan, Steven; N'Dow, James; Montorsi, Francesco; Briganti, Alberto
2018-03-12
The rate of postoperative complications might vary according to the method used to collect perioperative data. We aimed at assessing the impact of the prospective implementation of the European Association of Urology (EAU) guidelines on reporting and grading of complications in prostate cancer patients undergoing robot-assisted radical prostatectomy (RARP). From September 2016, an integrated method for reporting surgical morbidity based on the EAU guidelines was implemented at a single, tertiary center. Perioperative data were prospectively and systematically collected during a patient interview at 30 d after surgery as recommended by the EAU Guidelines Panel Recommendations on Reporting and Grading Complications. The rate and grading of complications of 167 patients who underwent RARP±pelvic lymph node dissection (PLND) after the implementation of the prospective collection system (Group 1) were compared with 316 patients treated between January 2015 and August 2016 (Group 2) when a system based on patient chart review was used. No differences were observed in disease characteristics and PLND between the two groups (all p≥0.1). Postoperative complications were graded according to the Clavien-Dindo classification system. Overall, the complication rate was higher when the prospective collection system based on the EAU guidelines was used (29%) than when retrospective chart review (10%; p<0.001) was used. In particular, a substantially higher rate of grade 1 (8.4% vs 4.7%) and 2 (14% vs 2.8%) complications was detected in Group 1 versus Group 2 (p<0.001). Although the rate of complications occurred during hospitalization did not differ (13% vs 10%; p=0.3), 31 (19%) complications after discharge were detected in Group 1. This resulted into a readmission rate of 16%. Conversely, no complications after discharge and readmissions were recorded for Group 2. The implementation of the EAU guidelines on reporting perioperative outcomes roughly doubled the complication
Implement the medical group revenue function. Create competitive advantage.
Colucci, C
1998-01-01
This article shows medical groups how they can employ new financial management and information technology techniques to safeguard their revenue and income streams. These managerial techniques stem from the application of the medical group revenue function, which is defined herein. This article also describes how the medical group revenue function can be used to create value by employing a database and a decision support system. Finally, the article describes how the decision support system can be used to create competitive advantage. Through the wise use of internally generated information, medical groups can negotiate better contract terms, improve their operations, cut their costs, embark on capital investment programs and improve market share. As medical groups gain market power by improving in these areas, they will be more attractive to potential strategic allies, payers and investment bankers.
Qualitative Research in Group Work: Status, Synergies, and Implementation
ERIC Educational Resources Information Center
Rubel, Deborah; Okech, Jane E. Atieno
2017-01-01
The article aims to advance the use of qualitative research methods to understand group work. The first part of this article situates the use of qualitative research methods in relationship to group work research. The second part examines recent qualitative group work research using a framework informed by scoping and systematic review methods and…
Dormann, H; Criegee-Rieck, M; Neubert, A; Egger, T; Levy, M; Hahn, E G; Brune, K
2004-02-01
To investigate the effectiveness of a computer monitoring system that detects adverse drug reactions (ADRs) by laboratory signals in gastroenterology. A prospective, 6-month, pharmaco-epidemiological survey was carried out on a gastroenterological ward at the University Hospital Erlangen-Nuremberg. Two methods were used to identify ADRs. (i) All charts were reviewed daily by physicians and clinical pharmacists. (ii) A computer monitoring system generated a daily list of automatic laboratory signals and alerts of ADRs, including patient data and dates of events. One hundred and nine ADRs were detected in 474 admissions (377 patients). The computer monitoring system generated 4454 automatic laboratory signals from 39 819 laboratory parameters tested, and issued 2328 alerts, 914 (39%) of which were associated with ADRs; 574 (25%) were associated with ADR-positive admissions. Of all the alerts generated, signals of hepatotoxicity (1255), followed by coagulation disorders (407) and haematological toxicity (207), were prevalent. Correspondingly, the prevailing ADRs were concerned with the metabolic and hepato-gastrointestinal system (61). The sensitivity was 91%: 69 of 76 ADR-positive patients were indicated by an alert. The specificity of alerts was increased from 23% to 76% after implementation of an automatic laboratory signal trend monitoring algorithm. This study shows that a computer monitoring system is a useful tool for the systematic and automated detection of ADRs in gastroenterological patients.
A method for detecting and locating geophysical events using groups of arrays
NASA Astrophysics Data System (ADS)
de Groot-Hedlin, Catherine D.; Hedlin, Michael A. H.
2015-11-01
We have developed a novel method to detect and locate geophysical events that makes use of any sufficiently dense sensor network. This method is demonstrated using acoustic sensor data collected in 2013 at the USArray Transportable Array (TA). The algorithm applies Delaunay triangulation to divide the sensor network into a mesh of three-element arrays, called triads. Because infrasound waveforms are incoherent between the sensors within each triad, the data are transformed into envelopes, which are cross-correlated to find signals that satisfy a consistency criterion. The propagation azimuth, phase velocity and signal arrival time are computed for each signal. Triads with signals that are consistent with a single source are bundled as an event group. The ensemble of arrival times and azimuths of detected signals within each group are used to locate a common source in space and time. A total of 513 infrasonic stations that were active for part or all of 2013 were divided into over 2000 triads. Low (0.5-2 Hz) and high (2-8 Hz) catalogues of infrasonic events were created for the eastern USA. The low-frequency catalogue includes over 900 events and reveals several highly active source areas on land that correspond with coal mining regions. The high-frequency catalogue includes over 2000 events, with most occurring offshore. Although their cause is not certain, most events are clearly anthropogenic as almost all occur during regular working hours each week. The regions to which the TA is most sensitive vary seasonally, with the direction of reception dependent on the direction of zonal winds. The catalogue has also revealed large acoustic events that may provide useful insight into the nature of long-range infrasound propagation in the atmosphere.
Dessimoz, Christophe; Boeckmann, Brigitte; Roth, Alexander C J; Gonnet, Gaston H
2006-01-01
Correct orthology assignment is a critical prerequisite of numerous comparative genomics procedures, such as function prediction, construction of phylogenetic species trees and genome rearrangement analysis. We present an algorithm for the detection of non-orthologs that arise by mistake in current orthology classification methods based on genome-specific best hits, such as the COGs database. The algorithm works with pairwise distance estimates, rather than computationally expensive and error-prone tree-building methods. The accuracy of the algorithm is evaluated through verification of the distribution of predicted cases, case-by-case phylogenetic analysis and comparisons with predictions from other projects using independent methods. Our results show that a very significant fraction of the COG groups include non-orthologs: using conservative parameters, the algorithm detects non-orthology in a third of all COG groups. Consequently, sequence analysis sensitive to correct orthology assignments will greatly benefit from these findings.
Göransson, Mona; Magnusson, Asa; Heilig, Markus
2006-01-01
It has been repeatedly demonstrated that hazardous alcohol use during pregnancy is rarely detected in regular antenatal care, and that detection can be markedly improved using systematic screening. A major challenge is to translate research-based strategies into regular antenatal care. Here, we examined whether a screening strategy using the Alcohol Use Disorder Test (AUDIT) and time-line follow-back (TLFB) could be implemented under naturalistic conditions and within available resources; and whether it would improve detection to the extent previously shown in a research context. Regular midwives at a large antenatal care clinic were randomized to receive brief training and then implement AUDIT and TLFB ("intervention"); or to a waiting-list control group continuing to deliver regular care ("control"). In the intervention-condition, AUDIT was used to collect data about alcohol use during the year preceding pregnancy, and TLFB to assess actual consumption during the first trimester. Data were collected from new admissions over 6 months. Drop out was higher among patients of the intervention group than control midwives, 14% (23/162) versus 0% (0/153), and p<0.0001. A one-day training session combined with continuous expert support was sufficient to implement systematic screening with AUDIT and TLFB largely within resources of regular antenatal care. The use of these instruments identified patients with hazardous consumption during the year preceding pregnancy i.e. AUDIT score 6 or higher (17%, 23/139), and patients with ongoing consumption exceeding 70 g/week and/or binge consumption according to TLFB (17%, 24/139), to a significantly higher degree than regular antenatal screening (0/162). The AUDIT- and TLFB-positive populations overlapped partially, with 36/139 subjects screening positive with either of the instrument and 11/139 were positive for both. We confirm previous findings that alcohol use during pregnancy is more extensive in Sweden than has generally been
ERIC Educational Resources Information Center
DiVento, Jessica; Saxena, Gauri
2017-01-01
Because of their demographics, university counseling centers have an opportunity to reach both adult children of alcoholics and adult children of parents with mental illness who are at risk for poor psychosocial outcomes. This article presents a group intervention targeting these students. The authors describe the development and implementation of…
ERIC Educational Resources Information Center
Wilson, Kristy J.; Brickman, Peggy; Brame, Cynthia J.
2018-01-01
Science, technology, engineering, and mathematics faculty are increasingly incorporating both formal and informal group work in their courses. Implementing group work can be improved by an understanding of the extensive body of educational research studies on this topic. This essay describes an online, evidence-based teaching guide published by…
Integrated System Health Management: Foundational Concepts, Approach, and Implementation
NASA Technical Reports Server (NTRS)
Figueroa, Fernando
2009-01-01
A sound basis to guide the community in the conception and implementation of ISHM (Integrated System Health Management) capability in operational systems was provided. The concept of "ISHM Model of a System" and a related architecture defined as a unique Data, Information, and Knowledge (DIaK) architecture were described. The ISHM architecture is independent of the typical system architecture, which is based on grouping physical elements that are assembled to make up a subsystem, and subsystems combine to form systems, etc. It was emphasized that ISHM capability needs to be implemented first at a low functional capability level (FCL), or limited ability to detect anomalies, diagnose, determine consequences, etc. As algorithms and tools to augment or improve the FCL are identified, they should be incorporated into the system. This means that the architecture, DIaK management, and software, must be modular and standards-based, in order to enable systematic augmentation of FCL (no ad-hoc modifications). A set of technologies (and tools) needed to implement ISHM were described. One essential tool is a software environment to create the ISHM Model. The software environment encapsulates DIaK, and an infrastructure to focus DIaK on determining health (detect anomalies, determine causes, determine effects, and provide integrated awareness of the system to the operator). The environment includes gateways to communicate in accordance to standards, specially the IEEE 1451.1 Standard for Smart Sensors and Actuators.
Asscher, Jessica J; Dijkstra, Sharon; Stams, Geert Jan J M; Deković, Maja; Creemers, Hanneke E
2014-02-11
The model of Family group-conferencing (FG-c) for decision making in child welfare has rapidly spread over the world during the past decades. Its popularity is likely to be caused by its philosophy, emphasizing participation and autonomy of families, rather than based on positive research outcomes. Conclusive evidence regarding the (cost) effectiveness of FG-c is not yet available. The aim of this protocol is to describe the design of a study to evaluate the (cost) effectiveness of FG-c as compared to Treatment as Usual. The effectiveness of FG-c will be examined by means of a Randomized Controlled Trial. A multi-informant approach will be used to assess child safety as the primary outcome, and commitment of the social network, perceived control/ empowerment; family functioning and use of professional care as secondary outcomes. Implementation of FG-c, characteristics of family manager and family will be examined as moderators of effectiveness. Studying the effectiveness of Fg-c is crucial now the method is being implemented all over the world as a decision making model in child and youth care. Policy makers should be informed whether the ideals of participation in society and the right for self-determination indeed result in more effective care plans, and the money spent on FG-c is warranted. Dutch Trial Register number NTR4320. The design of this study is approved by the independent Ethical Committee of the Faculty of Social and Behavioral Sciences of The University of Amsterdam (approval number: 2013-POWL-3308). This study is financially supported by a grant from ZonMw, The Netherlands Organization for Health Research and Development, grant number: 70-72900-98-13158.
Orlando, Lori A; Sperber, Nina R; Voils, Corrine; Nichols, Marshall; Myers, Rachel A; Wu, R Ryanne; Rakhra-Burris, Tejinder; Levy, Kenneth D; Levy, Mia; Pollin, Toni I; Guan, Yue; Horowitz, Carol R; Ramos, Michelle; Kimmel, Stephen E; McDonough, Caitrin W; Madden, Ebony B; Damschroder, Laura J
2018-06-01
PurposeImplementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing Genomics in Practice (IGNITE) Network's efforts to promote (i) a broader understanding of genomic medicine implementation research and (ii) the sharing of knowledge generated in the network.MethodsTo facilitate this goal, the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide its approach to identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross-network analyses.ResultsCMG identified 10 high-priority CFIR constructs as important for genomic medicine. Of those, eight did not have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model.ConclusionWe developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field.
NASA Astrophysics Data System (ADS)
Bouganssa, Issam; Sbihi, Mohamed; Zaim, Mounia
2017-07-01
The 2D Discrete Wavelet Transform (DWT) is a computationally intensive task that is usually implemented on specific architectures in many imaging systems in real time. In this paper, a high throughput edge or contour detection algorithm is proposed based on the discrete wavelet transform. A technique for applying the filters on the three directions (Horizontal, Vertical and Diagonal) of the image is used to present the maximum of the existing contours. The proposed architectures were designed in VHDL and mapped to a Xilinx Sparten6 FPGA. The results of the synthesis show that the proposed architecture has a low area cost and can operate up to 100 MHz, which can perform 2D wavelet analysis for a sequence of images while maintaining the flexibility of the system to support an adaptive algorithm.
Insect-specific flaviviruses, a worldwide widespread group of viruses only detected in insects.
Calzolari, Mattia; Zé-Zé, Líbia; Vázquez, Ana; Sánchez Seco, Mari Paz; Amaro, Fátima; Dottori, Michele
2016-06-01
Several flaviviruses are important pathogens for humans and animals (Dengue viruses, Japanese encephalitis virus, Yellow-fever virus, Tick-borne encephalitis virus, West Nile virus). In recent years, numerous novel and related flaviviruses without known pathogenic capacity have been isolated worldwide in the natural mosquito population. However, phylogenetic studies have shown that genomic sequences of these viruses diverge from other flaviviruses. Moreover, these viruses seem to be exclusive of insects (they do not seem to grow on vertebrate cell lines), and were already defined as mosquito-only flaviviruses or insect-specific flaviviruses. At least eleven of these viruses were isolated worldwide, and sequences ascribable to other eleven putative viruses were detected in several mosquito species. A large part of the cycle of these viruses is not well known, and their persistence in the environment is poorly understood. These viruses are detected in a wide variety of distinct mosquito species and also in sandflies and chironomids worldwide; a single virus, or the genetic material ascribable to a virus, was detected in several mosquito species in different countries, often in different continents. Furthermore, some of these viruses are carried by invasive mosquitoes, and do not seem to have a depressive action on their fitness. The global distribution and the continuous detection of new viruses in this group point out the likely underestimation of their number, and raise interesting issues about their possible interactions with the pathogenic flaviviruses, and their influence on the bionomics of arthropod hosts. Some enigmatic features, as their integration in the mosquito genome, the recognition of their genetic material in DNA forms in field-collected mosquitoes, or the detection of the same virus in both mosquitoes and sandflies, indicate that the cycle of these viruses has unknown characteristics that could be of use to reach a deeper understanding of the cycle
Community Detection for Correlation Matrices
NASA Astrophysics Data System (ADS)
MacMahon, Mel; Garlaschelli, Diego
2015-04-01
A challenging problem in the study of complex systems is that of resolving, without prior information, the emergent, mesoscopic organization determined by groups of units whose dynamical activity is more strongly correlated internally than with the rest of the system. The existing techniques to filter correlations are not explicitly oriented towards identifying such modules and can suffer from an unavoidable information loss. A promising alternative is that of employing community detection techniques developed in network theory. Unfortunately, this approach has focused predominantly on replacing network data with correlation matrices, a procedure that we show to be intrinsically biased because of its inconsistency with the null hypotheses underlying the existing algorithms. Here, we introduce, via a consistent redefinition of null models based on random matrix theory, the appropriate correlation-based counterparts of the most popular community detection techniques. Our methods can filter out both unit-specific noise and system-wide dependencies, and the resulting communities are internally correlated and mutually anticorrelated. We also implement multiresolution and multifrequency approaches revealing hierarchically nested subcommunities with "hard" cores and "soft" peripheries. We apply our techniques to several financial time series and identify mesoscopic groups of stocks which are irreducible to a standard, sectorial taxonomy; detect "soft stocks" that alternate between communities; and discuss implications for portfolio optimization and risk management.
Adlhoch, Cornelia; Kaiser, Marco; Hoehne, Marina; Mas Marques, Andreas; Stefas, Ilias; Veas, Francisco; Ellerbrok, Heinz
2011-02-10
The principle of a capture ELISA is binding of specific capture antibodies (polyclonal or monoclonal) to the surface of a suitable 96 well plate. These immobilized antibodies are capable of specifically binding a virus present in a clinical sample. Subsequently, the captured virus is detected using a specific detection antibody. The drawback of this method is that a capture ELISA can only function for a single virus captured by the primary antibody. Human Apolipoprotein H (ApoH) or β2-glycoprotein 1 is able to poly-specifically bind viral pathogens. Replacing specific capture antibodies by ApoH should allow poly-specific capture of different viruses that subsequently could be revealed using specific detection antibodies. Thus, using a single capture ELISA format different viruses could be analysed depending on the detection antibody that is applied. In order to demonstrate that this is a valid approach we show detection of group A rotaviruses from stool samples as a proof of principle for a new method of capture ELISA that should also be applicable to other viruses. Stool samples of different circulating common human and potentially zoonotic group A rotavirus strains, which were pretested in commercial EIAs and genotyped by PCR, were tested in parallel in an ApoH-ELISA set-up and by quantitative real-time PCR (qPCR). Several control samples were included in the analysis. The ApoH-ELISA was suitable for the capture of rotavirus-particles and the detection down to 1,000 infectious units (TCID(50/ml)). Subsets of diagnostic samples of different G- and P-types were tested positive in the ApoH-ELISA in different dilutions. Compared to the qPCR results, the analysis showed high sensitivity, specificity and low cross-reactivity for the ApoH-ELISA, which was confirmed in receiver operating characteristics (ROC) analysis. In this study the development of a highly sensitive and specific capture ELISA was demonstrated by combining a poly-specific ApoH capture step with
Mata-Cases, M; Artola, S; Escalada, J; Ezkurra-Loyola, P; Ferrer-García, J C; Fornos, J A; Girbés, J; Rica, I
2015-03-01
In Spain, according to the Di@bet.es study, 13.8% of the adult population suffers from diabetes and 14.8% from some form of prediabetes (impaired glucose tolerance, impaired fasting glucose or both). Since early detection of prediabetes can facilitate the implementation of therapeutic measures to prevent its progression to diabetes, we believe that preventive strategies in primary care and specialized clinical settings should be agreed. Screening for diabetes and prediabetes using a specific questionnaire (FINDRISC) and/or the measurement of fasting plasma glucose in high risk patients leads to detecting patients at risk of developing diabetes and it is necessary to consider how they should be managed. The intervention in lifestyle can reduce the progression to diabetes and reverse a prediabetic state to normal and is a cost-effective intervention. Some drugs, such as metformin, have also been shown effective in reducing the progression to diabetes but are not superior to non-pharmacological interventions. Finally, an improvement in some cardiovascular risk factors has been observed although there is no strong evidence supporting the effectiveness of screening in terms of morbility and mortality. The Consensus and Clinical Guidelines Working Group of the Spanish Diabetes Society has issued some recommendations that have been agreed by the Sociedad Española de Endocrinología y Nutrición, Sociedad Española de Endocrinología Pediátrica, Sociedad Española de Farmacia Comunitaria, Sociedad Española de Medicina Familiar y Comunitaria, Sociedad Española de Médicos Generales, Sociedad Española de Médicos de Atención Primaria, Sociedad Española de Medicina Interna, Asociación de Enfermería Comunitaria and Red de Grupos de Estudio de la Diabetes en Atención Primaria. Copyright © 2014 SEEN. Published by Elsevier España, S.L.U. All rights reserved.
Mata-Cases, M; Artola, S; Escalada, J; Ezkurra-Loyola, P; Ferrer-García, J C; Fornos, J A; Girbés, J; Rica, I
2015-03-01
In Spain, according to the Di@bet.es study, 13.8% of the adult population suffers from diabetes and 14.8% from some form of prediabetes (impaired glucose tolerance, impaired fasting glucose or both). Since early detection of prediabetes can facilitate the implementation of therapeutic measures to prevent its progression to diabetes, we believe that preventive strategies in primary care and specialized clinical settings should be agreed. Screening for diabetes and prediabetes using a specific questionnaire (FINDRISC) and/or the measurement of fasting plasma glucose in high risk patients leads to detecting patients at risk of developing diabetes and it is necessary to consider how they should be managed. The intervention in lifestyle can reduce the progression to diabetes and reverse a prediabetic state to normal and is a cost-effective intervention. Some drugs, such as metformin, have also been shown effective in reducing the progression to diabetes but are not superior to non-pharmacological interventions. Finally, an improvement in some cardiovascular risk factors has been observed although there is no strong evidence supporting the effectiveness of screening in terms of morbility and mortality. The Consensus and Clinical Guidelines Working Group of the Spanish Diabetes Society has issued some recommendations that have been agreed by the Sociedad Española de Endocrinología y Nutrición, Sociedad Española de Endocrinología Pediátrica, Sociedad Española de Farmacia Comunitaria, Sociedad Española de Medicina Familiar y Comunitaria, Sociedad Española de Médicos Generales, Sociedad Española de Médicos de Atención Primaria, Sociedad Española de Medicina Interna, Asociación de Enfermería Comunitaria and Red de Grupos de Estudio de la Diabetes en Atención Primaria. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.
Mata-Cases, M; Artola, S; Escalada, J; Ezkurra-Loyola, P; Ferrer-García, J C; Fornos, J A; Girbés, J; Rica, I
2015-01-01
In Spain, according to the Di@bet.es study, 13.8% of the adult population suffers from diabetes and 14.8% from some form of prediabetes (impaired glucose tolerance, impaired fasting glucose or both). Since early detection of prediabetes can facilitate the implementation of therapeutic measures to prevent its progression to diabetes, we believe that preventive strategies in primary care and specialized clinical settings should be agreed. Screening for diabetes and prediabetes using a specific questionnaire (FINDRISC) and/or the measurement of fasting plasma glucose in high risk patients leads to detecting patients at risk of developing diabetes and it is necessary to consider how they should be managed. The intervention in lifestyle can reduce the progression to diabetes and reverse a prediabetic state to normal and is a cost-effective intervention. Some drugs, such as metformin, have also been shown effective in reducing the progression to diabetes but are not superior to non-pharmacological interventions. Finally, an improvement in some cardiovascular risk factors has been observed although there is no strong evidence supporting the effectiveness of screening in terms of morbility and mortality. The Consensus and Clinical Guidelines Working Group of the Spanish Diabetes Society has issued some recommendations that have been agreed by the Sociedad Española de Endocrinología y Nutrición, Sociedad Española de Endocrinología Pediátrica, Sociedad Española de Farmacia Comunitaria, Sociedad Española de Medicina Familiar y Comunitaria, Sociedad Española de Médicos Generales, Sociedad Española de Médicos de Atención Primaria, Sociedad Española de Medicina Interna, Asociación de Enfermería Comunitaria and Red de Grupos de Estudio de la Diabetes en Atención Primaria. Copyright © 2015. Publicado por Elsevier España, S.L.U.
Programming with process groups: Group and multicast semantics
NASA Technical Reports Server (NTRS)
Birman, Kenneth P.; Cooper, Robert; Gleeson, Barry
1991-01-01
Process groups are a natural tool for distributed programming and are increasingly important in distributed computing environments. Discussed here is a new architecture that arose from an effort to simplify Isis process group semantics. The findings include a refined notion of how the clients of a group should be treated, what the properties of a multicast primitive should be when systems contain large numbers of overlapping groups, and a new construct called the causality domain. A system based on this architecture is now being implemented in collaboration with the Chorus and Mach projects.
FPGA Implementation of Heart Rate Monitoring System.
Panigrahy, D; Rakshit, M; Sahu, P K
2016-03-01
This paper describes a field programmable gate array (FPGA) implementation of a system that calculates the heart rate from Electrocardiogram (ECG) signal. After heart rate calculation, tachycardia, bradycardia or normal heart rate can easily be detected. ECG is a diagnosis tool routinely used to access the electrical activities and muscular function of the heart. Heart rate is calculated by detecting the R peaks from the ECG signal. To provide a portable and the continuous heart rate monitoring system for patients using ECG, needs a dedicated hardware. FPGA provides easy testability, allows faster implementation and verification option for implementing a new design. We have proposed a five-stage based methodology by using basic VHDL blocks like addition, multiplication and data conversion (real to the fixed point and vice-versa). Our proposed heart rate calculation (R-peak detection) method has been validated, using 48 first channel ECG records of the MIT-BIH arrhythmia database. It shows an accuracy of 99.84%, the sensitivity of 99.94% and the positive predictive value of 99.89%. Our proposed method outperforms other well-known methods in case of pathological ECG signals and successfully implemented in FPGA.
Weapons Retrieved After the Implementation of Emergency Department Metal Detection.
Malka, S Terez; Chisholm, Robin; Doehring, Marla; Chisholm, Carey
2015-09-01
Several high-profile violent incidents have occurred within emergency departments (EDs). There are no recent studies reporting the effectiveness of ED metal detection. Our aim was to assess the effect of metal detection on ED weapons retrieval. In September 2011, a metal detector was installed at the entrance of an urban, high-volume teaching hospital ED. The security company recorded retrieved firearms, knives, chemical sprays, and other weapons. We performed qualitative analysis of weapons retrieval data for a 26-month period. A total of 5877 weapons were retrieved, an average of 218 per month: 268 firearms, 4842 knives, 512 chemical sprays, and 275 other weapons, such as brass knuckles, stun guns, and box cutters. The number of retrieved guns decreased from 2012 to 2013 (from 182 to 47), despite an increase in metal detection hours from 8 h per day to 16 h per day. The number of retrieved knives, chemical sprays, and other weapons increased. Recovered knives increased from 2062 in 2012 to 2222 in 2013, chemical sprays increased from 170 to 305, and other weapons increased from 51 to 201. A large number of weapons were retrieved after the initiation of metal detection in the ED entrance. Increasing hours of metal detection increased the number of retrieved knives, chemical sprays, and other weapons. Retrieved firearms decreased after increasing metal detection hours. Metal detection in the ED entrance is effective in reducing entrance of weapons into the ED. Metal detectors may offer additional benefit in reducing attempts to enter with firearms. Copyright © 2015 Elsevier Inc. All rights reserved.
Implementing Fairness in Racial-Group Assessment Requires Assessment of Individuals
ERIC Educational Resources Information Center
Helms, Janet E.
2007-01-01
Replies to comments by R. J. Griffore and D. A. Newman et al. on the author's original article on test validity and cultural bias in racial-group assessment. Helms notes that, given that within-group variance exceeds between-groups variance, racial groups are probably simulating a psychological construct that is more strongly related to…
NASA Astrophysics Data System (ADS)
Radha Shanmugam, Nandhinee; Muthukumar, Sriram; Chaudhry, Shajee; Prasad, Shalini
2015-03-01
In this study, functionally engineered EIS technique was implemented to investigate the influence of surface functionalization on sensitivity of biomolecule detection using nanostructured ZnO platform. Organic molecules with thiol and carboxylic functional groups were chosen to control biomolecule immobilization on zinc and oxygen-terminated 2D planar and 1D nanostructured ZnO surfaces. The amount of functionalization and its influence on charge perturbations at the ZnO-electrolyte interface were studied using fluorescence and EIS measurements. We observed the dependence of charge transfer on both the polarity of platform and concentration of cross-linker molecules. Such selectively modified surfaces were used for detection of cortisol, a major stress indicator. Results demonstrated preferential binding of thiol groups to Zn terminations and thus leveraging ZnO interstitials increases the sensitivity of detection over larger dynamic range with detection limit at 10fg/mL.
2014-01-01
Background The model of Family group-conferencing (FG-c) for decision making in child welfare has rapidly spread over the world during the past decades. Its popularity is likely to be caused by its philosophy, emphasizing participation and autonomy of families, rather than based on positive research outcomes. Conclusive evidence regarding the (cost) effectiveness of FG-c is not yet available. The aim of this protocol is to describe the design of a study to evaluate the (cost) effectiveness of FG-c as compared to Treatment as Usual. Method/Design The effectiveness of FG-c will be examined by means of a Randomized Controlled Trial. A multi-informant approach will be used to assess child safety as the primary outcome, and commitment of the social network, perceived control/ empowerment; family functioning and use of professional care as secondary outcomes. Implementation of FG-c, characteristics of family manager and family will be examined as moderators of effectiveness. Discussion Studying the effectiveness of Fg-c is crucial now the method is being implemented all over the world as a decision making model in child and youth care. Policy makers should be informed whether the ideals of participation in society and the right for self-determination indeed result in more effective care plans, and the money spent on FG-c is warranted. Trial registration Dutch Trial Register number NTR4320. The design of this study is approved by the independent Ethical Committee of the Faculty of Social and Behavioral Sciences of The University of Amsterdam (approval number: 2013-POWL-3308). This study is financially supported by a grant from ZonMw, The Netherlands Organization for Health Research and Development, grant number: 70-72900-98-13158. PMID:24517167
Harden, Angela; Thomas, James; Cargo, Margaret; Harris, Janet; Pantoja, Tomas; Flemming, Kate; Booth, Andrew; Garside, Ruth; Hannes, Karin; Noyes, Jane
2018-05-01
The Cochrane Qualitative and Implementation Methods Group develops and publishes guidance on the synthesis of qualitative and mixed-method evidence from process evaluations. Despite a proliferation of methods for the synthesis of qualitative research, less attention has focused on how to integrate these syntheses within intervention effectiveness reviews. In this article, we report updated guidance from the group on approaches, methods, and tools, which can be used to integrate the findings from quantitative studies evaluating intervention effectiveness with those from qualitative studies and process evaluations. We draw on conceptual analyses of mixed methods systematic review designs and the range of methods and tools that have been used in published reviews that have successfully integrated different types of evidence. We outline five key methods and tools as devices for integration which vary in terms of the levels at which integration takes place; the specialist skills and expertise required within the review team; and their appropriateness in the context of limited evidence. In situations where the requirement is the integration of qualitative and process evidence within intervention effectiveness reviews, we recommend the use of a sequential approach. Here, evidence from each tradition is synthesized separately using methods consistent with each tradition before integration takes place using a common framework. Reviews which integrate qualitative and process evaluation evidence alongside quantitative evidence on intervention effectiveness in a systematic way are rare. This guidance aims to support review teams to achieve integration and we encourage further development through reflection and formal testing. Copyright © 2017 Elsevier Inc. All rights reserved.
Detecting the subtle shape differences in hemodynamic responses at the group level
Chen, Gang; Saad, Ziad S.; Adleman, Nancy E.; Leibenluft, Ellen; Cox, Robert W.
2015-01-01
The nature of the hemodynamic response (HDR) is still not fully understood due to the multifaceted processes involved. Aside from the overall amplitude, the response may vary across cognitive states, tasks, brain regions, and subjects with respect to characteristics such as rise and fall speed, peak duration, undershoot shape, and overall duration. Here we demonstrate that the fixed-shape (FSM) or adjusted-shape (ASM) methods may fail to detect some shape subtleties (e.g., speed of rise or recovery, or undershoot). In contrast, the estimated-shape method (ESM) through multiple basis functions can provide the opportunity to identify some subtle shape differences and achieve higher statistical power at both individual and group levels. Previously, some dimension reduction approaches focused on the peak magnitude, or made inferences based on the area under the curve (AUC) or interaction, which can lead to potential misidentifications. By adopting a generic framework of multivariate modeling (MVM), we showcase a hybrid approach that is validated by simulations and real data. With the whole HDR shape integrity maintained as input at the group level, the approach allows the investigator to substantiate these more nuanced effects through the unique HDR shape features. Unlike the few analyses that were limited to main effect, two- or three-way interactions, we extend the modeling approach to an inclusive platform that is more adaptable than the conventional GLM. With multiple effect estimates from ESM for each condition, linear mixed-effects (LME) modeling should be used at the group level when there is only one group of subjects without any other explanatory variables. Under other situations, an approximate approach through dimension reduction within the MVM framework can be adopted to achieve a practical equipoise among representation, false positive control, statistical power, and modeling flexibility. The associated program 3dMVM is publicly available as part of the
NASA Technical Reports Server (NTRS)
Densmore, A. C.
1988-01-01
A digital phase-locked loop (PLL) scheme is described which detects the phase and power of a high SNR calibration tone. The digital PLL is implemented in software directly from the given description. It was used to evaluate the stability of the Goldstone Deep Space Station open loop receivers for Radio Science. Included is a derivative of the Allan variance sensitivity of the PLL imposed by additive white Gaussian noise; a lower limit is placed on the carrier frequency.
NASA Astrophysics Data System (ADS)
Soubestre, Jean; Shapiro, Nikolai M.; Seydoux, Léonard; de Rosny, Julien; Droznin, Dmitry V.; Droznina, Svetlana Ya.; Senyukov, Sergey L.; Gordeev, Evgeniy I.
2018-01-01
We develop a network-based method for detecting and classifying seismovolcanic tremors. The proposed approach exploits the coherence of tremor signals across the network that is estimated from the array covariance matrix. The method is applied to four and a half years of continuous seismic data recorded by 19 permanent seismic stations in the vicinity of the Klyuchevskoy volcanic group in Kamchatka (Russia), where five volcanoes were erupting during the considered time period. We compute and analyze daily covariance matrices together with their eigenvalues and eigenvectors. As a first step, most coherent signals corresponding to dominating tremor sources are detected based on the width of the covariance matrix eigenvalues distribution. Thus, volcanic tremors of the two volcanoes known as most active during the considered period, Klyuchevskoy and Tolbachik, are efficiently detected. As a next step, we consider the daily array covariance matrix's first eigenvector. Our main hypothesis is that these eigenvectors represent the principal components of the daily seismic wavefield and, for days with tremor activity, characterize dominant tremor sources. Those daily first eigenvectors, which can be used as network-based fingerprints of tremor sources, are then grouped into clusters using correlation coefficient as a measure of the vector similarity. As a result, we identify seven clusters associated with different periods of activity of four volcanoes: Tolbachik, Klyuchevskoy, Shiveluch, and Kizimen. The developed method does not require a priori knowledge and is fully automatic; and the database of the network-based tremor fingerprints can be continuously enriched with newly available data.
Orlando, Lori A.; Sperber, Nina R.; Voils, Corrine; Nichols, Marshall; Myers, Rachel A.; Wu, R. Ryanne; Rakhra-Burris, Tejinder; Levy, Kenneth D.; Levy, Mia; Pollin, Toni I.; Guan, Yue; Horowitz, Carol R.; Ramos, Michelle; Kimmel, Stephen E.; McDonough, Caitrin W.; Madden, Ebony B.; Damschroder, Laura J.
2017-01-01
Purpose Implementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing GeNomics In PracTicE (IGNITE) Network’s efforts to promote: 1) a broader understanding of genomic medicine implementation research; and 2) the sharing of knowledge generated in the network. Methods To facilitate this goal the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide their approach to: identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross network analyses. Results CMG identified ten high-priority CFIR constructs as important for genomic medicine. Of those, eight didn’t have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model. Conclusion We developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field. PMID:28914267
Blind detection of giant pulses: GPU implementation
NASA Astrophysics Data System (ADS)
Ait-Allal, Dalal; Weber, Rodolphe; Dumez-Viou, Cédric; Cognard, Ismael; Theureau, Gilles
2012-01-01
Radio astronomical pulsar observations require specific instrumentation and dedicated signal processing to cope with the dispersion caused by the interstellar medium. Moreover, the quality of observations can be limited by radio frequency interference (RFI) generated by Telecommunications activity. This article presents the innovative pulsar instrumentation based on graphical processing units (GPU) which has been designed at the Nançay Radio Astronomical Observatory. In addition, for giant pulsar search, we propose a new approach which combines a hardware-efficient search method and some RFI mitigation capabilities. Although this approach is less sensitive than the classical approach, its advantage is that no a priori information on the pulsar parameters is required. The validation of a GPU implementation is under way.
Boaz, Mona; Bermant, Alexander; Ezri, Tiberiu; Lakstein, Dror; Berlovitz, Yitzhak; Laniado, Iris; Feldbrin, Zeev
2014-01-01
Surgical adverse events are errors that emerge during perioperative patient care. The World Health Organization recently published "Guidelines for Safe Surgery." To estimate the effect of implementation of a safety checklist in an orthopedic surgical department. We conducted a single-center cross-sectional study to compare the incidence of complications prior to and following implementation of the Guidelines for Safe Surgery checklist. The medical records of all consecutive adult patients admitted to the orthopedics department at Wolfson Medical Center during the period 1 July 2008 to 1 January 2009 (control group) and from 1 January 2009 to 1 July 2009 (study group) were reviewed. The occurrences of all complications were compared between the two groups. The records of 760 patients (380 in each group) hospitalized during this 12 month period were analyzed. Postoperative fever occurred in 5.3% versus 10.6% of patients with and without the checklist respectively (P = 0.008). Significantly more patients received only postoperative prophylactic antibiotics rather than both pre-and postoperative antibiotic treatment prior to implementation of the checklist (3.2% versus 0%, P = 0.004). In addition, a statistically non-significant 34% decrease in the rate of surgical wound infection was also detected in the checklist group. In a logistic regression model of postoperative fever, the checklist emerged as a significant independent predictor of this outcome: odds ratio 0.53, 95% confidence interval 0.29-0.96, P = 0.037. A significant reduction in postoperative fever after the implementation of the surgical safety checklist occurred. It is possible that the improved usage of preoperative prophylactic antibiotics may explain the reduction in postoperative fever.
Impact detection method for composite winglets based on neural network implementation
NASA Astrophysics Data System (ADS)
Viscardi, Massimo; Arena, Maurizio; Napolitano, Pasquale
2018-03-01
Maintenance tasks and safety aspects represent a strategic role in the managing of the modern aircraft fleets. The demand for reliable techniques for structural health monitoring represent so a key aspect looking forward to new generation aircraft. In particular, the use of more technologically complex materials and manufacturing methods requires anyway more efficient as well as rapid application processes to improve the design strength and service life. Actually, it is necessary to rely on survey instruments, which allow for safeguarding the structural integrity of the aircraft, especially after the wide use of composite structures highly susceptible to non-detected damages as delamination of the ply. In this paper, the authors have investigated the feasibility to implement a neural network-based algorithm to predict the impact event at low frequency, typically due to the bird collision. Relying upon a numerical model, representative of a composite flat panel, the approach has been also experimentally validated. The purpose of the work is therefore the presentation of an innovative application within the Non Destructive Testing field based upon vibration measurements. The aim of the research has been the development of a Non Destructive Test which meets most of the mandatory requirements for effective health monitoring systems while, at the same time, reducing as much as possible the complexity of the data analysis algorithm and the experimental acquisition instrumentation. Future activities will be addressed to test such technique on a more complex aeronautical system.
Harnessing Implementation Science to Increase the Impact of Health Equity Research.
Chinman, Matthew; Woodward, Eva N; Curran, Geoffrey M; Hausmann, Leslie R M
2017-09-01
Health disparities are differences in health or health care between groups based on social, economic, and/or environmental disadvantage. Disparity research often follows 3 steps: detecting (phase 1), understanding (phase 2), and reducing (phase 3), disparities. Although disparities have narrowed over time, many remain. We argue that implementation science could enhance disparities research by broadening the scope of phase 2 studies and offering rigorous methods to test disparity-reducing implementation strategies in phase 3 studies. We briefly review the focus of phase 2 and phase 3 disparities research. We then provide a decision tree and case examples to illustrate how implementation science frameworks and research designs could further enhance disparity research. Most health disparities research emphasizes patient and provider factors as predominant mechanisms underlying disparities. Applying implementation science frameworks like the Consolidated Framework for Implementation Research could help disparities research widen its scope in phase 2 studies and, in turn, develop broader disparities-reducing implementation strategies in phase 3 studies. Many phase 3 studies of disparity-reducing implementation strategies are similar to case studies, whose designs are not able to fully test causality. Implementation science research designs offer rigorous methods that could accelerate the pace at which equity is achieved in real-world practice. Disparities can be considered a "special case" of implementation challenges-when evidence-based clinical interventions are delivered to, and received by, vulnerable populations at lower rates. Bringing together health disparities research and implementation science could advance equity more than either could achieve on their own.
Harnessing Implementation Science to Increase the Impact of Health Disparity Research
Chinman, Matthew; Woodward, Eva N.; Curran, Geoffrey M.; Hausmann, Leslie R. M.
2017-01-01
Background Health disparities are differences in health or health care between groups based on social, economic, and/or environmental disadvantage. Disparity research often follows three steps: detecting (Phase 1), understanding (Phase 2), and reducing (Phase 3), disparities. While disparities have narrowed over time, many remain. Objectives We argue that implementation science could enhance disparities research by broadening the scope of Phase 2 studies and offering rigorous methods to test disparity-reducing implementation strategies in Phase 3 studies. Methods We briefly review the focus of Phase 2 and Phase 3 disparities research. We then provide a decision tree and case examples to illustrate how implementation science frameworks and research designs could further enhance disparity research. Results Most health disparities research emphasizes patient and provider factors as predominant mechanisms underlying disparities. Applying implementation science frameworks like the Consolidated Framework for Implementation Research could help disparities research widen its scope in Phase 2 studies and, in turn, develop broader disparities-reducing implementation strategies in Phase 3 studies. Many Phase 3 studies of disparity reducing implementation strategies are similar to case studies, whose designs are not able to fully test causality. Implementation science research designs offer rigorous methods that could accelerate the pace at which equity is achieved in real world practice. Conclusions Disparities can be considered a “special case” of implementation challenges—when evidence-based clinical interventions are delivered to, and received by, vulnerable populations at lower rates. Bringing together health disparities research and implementation science could advance equity more than either could achieve on their own. PMID:28806362
Adaptation mechanisms, eccentricity profiles, and clinical implementation of red-on-white perimetry.
Zele, Andrew J; Dang, Trung M; O'Loughlin, Rebecca K; Guymer, Robyn H; Harper, Alex; Vingrys, Algis J
2008-05-01
To determine the visual adaptation and retinal eccentricity profiles for red flickering and static test stimuli and report a clinical implementation of these stimuli in visual perimetry. The adaptation profile for red-on-white perimetry stimuli was measured using a threshold vs. intensity (TvI) paradigm at 0 degree and 12 degrees eccentricity and by comparing the eccentricity-related sensitivity change for red and white, static, and flickering targets in young normal trichromats (n = 5) and a group of dichromats (n = 5). A group of older normal control observers (n = 30) were tested and retinal disease was evaluated in persons having age-related maculopathy (n = 35) and diabetes (n = 12). Adaptation and eccentricity profiles indicate red static and flickering targets are detected by two mechanisms in the paramacular region, and a single mechanism for >5 degrees eccentricity. The group data for the older normal observers has a high level of inter-observer variability with a generalized reduction in sensitivity across the entire visual field. Group data for the participants with age-related maculopathy show reduced sensitivities that were pronounced in the central retina. The group data for the diabetic observers showed sensitivities that were reduced at all eccentricities. The disease-related sensitivity decline was more apparent with red than white stimuli. The adaptation profile and change in sensitivity with retinal eccentricity for the red-on-white perimetric stimuli are consistent with two detection processes. In the macula, the putative detection mechanism is color-opponent with static targets and non-opponent with flickering targets. At peripheral field locations, the putative detection mechanism is non-opponent for both static and flicker targets. The long-wavelength stimuli are less affected by the preretinal absorption common to aging. Red-on-white static and flicker perimetry may be useful for monitoring retinal disease, revealing greater abnormalities
Designing and Implementing a Family of Intrusion Detection Systems
2004-11-01
configure (train), generates many false alarms – Misuse detection (signature analysis) (NFR, Emerald , Snort, STAT) • Generates few false alarms • Detects...to create .rhosts file in world-writable ftp home directory – rlogin using bogus .rhosts file S0 create_file read_rhosts S3S2 login S1 STAT KN-14...world-writable ftp home directory – rlogin using bogus .rhosts file S0 create_file read_rhosts S3S2 login S1 STAT KN-17 ftp-write in STATL use ustat
Sensor Data Qualification System (SDQS) Implementation Study
NASA Technical Reports Server (NTRS)
Wong, Edmond; Melcher, Kevin; Fulton, Christopher; Maul, William
2009-01-01
The Sensor Data Qualification System (SDQS) is being developed to provide a sensor fault detection capability for NASA s next-generation launch vehicles. In addition to traditional data qualification techniques (such as limit checks, rate-of-change checks and hardware redundancy checks), SDQS can provide augmented capability through additional techniques that exploit analytical redundancy relationships to enable faster and more sensitive sensor fault detection. This paper documents the results of a study that was conducted to determine the best approach for implementing a SDQS network configuration that spans multiple subsystems, similar to those that may be implemented on future vehicles. The best approach is defined as one that most minimizes computational resource requirements without impacting the detection of sensor failures.
Bio-ALIRT biosurveillance detection algorithm evaluation.
Siegrist, David; Pavlin, J
2004-09-24
Early detection of disease outbreaks by a medical biosurveillance system relies on two major components: 1) the contribution of early and reliable data sources and 2) the sensitivity, specificity, and timeliness of biosurveillance detection algorithms. This paper describes an effort to assess leading detection algorithms by arranging a common challenge problem and providing a common data set. The objectives of this study were to determine whether automated detection algorithms can reliably and quickly identify the onset of natural disease outbreaks that are surrogates for possible terrorist pathogen releases, and do so at acceptable false-alert rates (e.g., once every 2-6 weeks). Historic de-identified data were obtained from five metropolitan areas over 23 months; these data included International Classification of Diseases, Ninth Revision (ICD-9) codes related to respiratory and gastrointestinal illness syndromes. An outbreak detection group identified and labeled two natural disease outbreaks in these data and provided them to analysts for training of detection algorithms. All outbreaks in the remaining test data were identified but not revealed to the detection groups until after their analyses. The algorithms established a probability of outbreak for each day's counts. The probability of outbreak was assessed as an "actual" alert for different false-alert rates. The best algorithms were able to detect all of the outbreaks at false-alert rates of one every 2-6 weeks. They were often able to detect for the same day human investigators had identified as the true start of the outbreak. Because minimal data exists for an actual biologic attack, determining how quickly an algorithm might detect such an attack is difficult. However, application of these algorithms in combination with other data-analysis methods to historic outbreak data indicates that biosurveillance techniques for analyzing syndrome counts can rapidly detect seasonal respiratory and gastrointestinal
Sui, Jing; Adali, Tülay; Pearlson, Godfrey D.; Clark, Vincent P.; Calhoun, Vince D.
2009-01-01
Independent component analysis (ICA) is a promising method that is increasingly used to analyze brain imaging data such as functional magnetic resonance imaging (fMRI), structural MRI, and electroencephalography and has also proved useful for group comparison, e.g., differentiating healthy controls from patients. An advantage of ICA is its ability to identify components that are mixed in an unknown manner. However, ICA is not necessarily robust and optimal in identifying between-group effects, especially in highly noisy situations. Here, we propose a modified ICA framework for multi-group data analysis that incorporates prior information regarding group membership as a constraint into the mixing coefficients. Our approach, called coefficient-constrained ICA (CC-ICA), prioritizes identification of components that show a significant group difference. The performance of CC-ICA via synthetic and hybrid data simulations is evaluated under different hypothesis testing assumptions and signal to noise ratios (SNRs). Group analysis is also conducted on real multitask fMRI data. Results show that CC-ICA improves the estimation accuracy of the independent components greatly, especially those that have different patterns for different groups (e.g., patients vs. controls); In addition, it enhances the data extraction sensitivity to group differences by ranking components with P value or J-divergence more consistently with the ground truth. The proposed algorithm performs quite well for both group-difference detection and multitask fMRI data fusion, which may prove especially important for the identification of relevant disease biomarkers. PMID:19172631
Brown, C. Hendricks; Kellam, Sheppard G.; Kaupert, Sheila; Muthén, Bengt O.; Wang, Wei; Muthén, Linda K.; Chamberlain, Patricia; PoVey, Craig L.; Cady, Rick; Valente, Thomas W.; Ogihara, Mitsunori; Prado, Guillermo J.; Pantin, Hilda M.; Gallo, Carlos G.; Szapocznik, José; Czaja, Sara J.; McManus, John W.
2012-01-01
What progress prevention research has made comes through strategic partnerships with communities and institutions that host this research, as well as professional and practice networks that facilitate the diffusion of knowledge about prevention. We discuss partnership issues related to the design, analysis, and implementation of prevention research and especially how rigorous designs, including random assignment, get resolved through a partnership between community stakeholders, institutions, and researchers. These partnerships shape not only study design, but they determine the data that can be collected and how results and new methods are disseminated. We also examine a second type of partnership to improve the implementation of effective prevention programs into practice. We draw on social networks to studying partnership formation and function. The experience of the Prevention Science and Methodology Group, which itself is a networked partnership between scientists and methodologists, is highlighted. PMID:22160786
Brown, C Hendricks; Kellam, Sheppard G; Kaupert, Sheila; Muthén, Bengt O; Wang, Wei; Muthén, Linda K; Chamberlain, Patricia; PoVey, Craig L; Cady, Rick; Valente, Thomas W; Ogihara, Mitsunori; Prado, Guillermo J; Pantin, Hilda M; Gallo, Carlos G; Szapocznik, José; Czaja, Sara J; McManus, John W
2012-07-01
What progress prevention research has made comes through strategic partnerships with communities and institutions that host this research, as well as professional and practice networks that facilitate the diffusion of knowledge about prevention. We discuss partnership issues related to the design, analysis, and implementation of prevention research and especially how rigorous designs, including random assignment, get resolved through a partnership between community stakeholders, institutions, and researchers. These partnerships shape not only study design, but they determine the data that can be collected and how results and new methods are disseminated. We also examine a second type of partnership to improve the implementation of effective prevention programs into practice. We draw on social networks to studying partnership formation and function. The experience of the Prevention Science and Methodology Group, which itself is a networked partnership between scientists and methodologists, is highlighted.
NASA Astrophysics Data System (ADS)
Ren, Feixiang; Huang, Jinsheng; Terauchi, Mutsuhiro; Jiang, Ruyi; Klette, Reinhard
A robust and efficient lane detection system is an essential component of Lane Departure Warning Systems, which are commonly used in many vision-based Driver Assistance Systems (DAS) in intelligent transportation. Various computation platforms have been proposed in the past few years for the implementation of driver assistance systems (e.g., PC, laptop, integrated chips, PlayStation, and so on). In this paper, we propose a new platform for the implementation of lane detection, which is based on a mobile phone (the iPhone). Due to physical limitations of the iPhone w.r.t. memory and computing power, a simple and efficient lane detection algorithm using a Hough transform is developed and implemented on the iPhone, as existing algorithms developed based on the PC platform are not suitable for mobile phone devices (currently). Experiments of the lane detection algorithm are made both on PC and on iPhone.
Taylor, Natalie; Long, Janet C; Debono, Deborah; Williams, Rachel; Salisbury, Elizabeth; O'Neill, Sharron; Eykman, Elizabeth; Braithwaite, Jeffrey; Chin, Melvin
2016-03-12
Lynch syndrome is an inherited disorder associated with a range of cancers, and found in 2-5 % of colorectal cancers. Lynch syndrome is diagnosed through a combination of significant family and clinical history and pathology. The definitive diagnostic germline test requires formal patient consent after genetic counselling. If diagnosed early, carriers of Lynch syndrome can undergo increased surveillance for cancers, which in turn can prevent late stage cancers, optimise treatment and decrease mortality for themselves and their relatives. However, over the past decade, international studies have reported that only a small proportion of individuals with suspected Lynch syndrome were referred for genetic consultation and possible genetic testing. The aim of this project is to use behaviour change theory and implementation science approaches to increase the number and speed of healthcare professional referrals of colorectal cancer patients with a high-likelihood risk of Lynch syndrome to appropriate genetic counselling services. The six-step Theoretical Domains Framework Implementation (TDFI) approach will be used at two large, metropolitan hospitals treating colorectal cancer patients. Steps are: 1) form local multidisciplinary teams to map current referral processes; 2) identify target behaviours that may lead to increased referrals using discussion supported by a retrospective audit; 3) identify barriers to those behaviours using the validated Influences on Patient Safety Behaviours Questionnaire and TDFI guided focus groups; 4) co-design interventions to address barriers using focus groups; 5) co-implement interventions; and 6) evaluate intervention impact. Chi square analysis will be used to test the difference in the proportion of high-likelihood risk Lynch syndrome patients being referred for genetic testing before and after intervention implementation. A paired t-test will be used to assess the mean time from the pathology test results to referral for high
Automated infrasound signal detection algorithms implemented in MatSeis - Infra Tool.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hart, Darren
2004-07-01
MatSeis's infrasound analysis tool, Infra Tool, uses frequency slowness processing to deconstruct the array data into three outputs per processing step: correlation, azimuth and slowness. Until now, an experienced analyst trained to recognize a pattern observed in outputs from signal processing manually accomplished infrasound signal detection. Our goal was to automate the process of infrasound signal detection. The critical aspect of infrasound signal detection is to identify consecutive processing steps where the azimuth is constant (flat) while the time-lag correlation of the windowed waveform is above background value. These two statements describe the arrival of a correlated set of wavefrontsmore » at an array. The Hough Transform and Inverse Slope methods are used to determine the representative slope for a specified number of azimuth data points. The representative slope is then used in conjunction with associated correlation value and azimuth data variance to determine if and when an infrasound signal was detected. A format for an infrasound signal detection output file is also proposed. The detection output file will list the processed array element names, followed by detection characteristics for each method. Each detection is supplied with a listing of frequency slowness processing characteristics: human time (YYYY/MM/DD HH:MM:SS.SSS), epochal time, correlation, fstat, azimuth (deg) and trace velocity (km/s). As an example, a ground truth event was processed using the four-element DLIAR infrasound array located in New Mexico. The event is known as the Watusi chemical explosion, which occurred on 2002/09/28 at 21:25:17 with an explosive yield of 38,000 lb TNT equivalent. Knowing the source and array location, the array-to-event distance was computed to be approximately 890 km. This test determined the station-to-event azimuth (281.8 and 282.1 degrees) to within 1.6 and 1.4 degrees for the Inverse Slope and Hough Transform detection algorithms
Colonoscopy Quality: Metrics and Implementation
Calderwood, Audrey H.; Jacobson, Brian C.
2013-01-01
Synopsis Colonoscopy is an excellent area for quality improvement 1 because it is high volume, has significant associated risk and expense, and there is evidence that variability in its performance affects outcomes. The best endpoint for validation of quality metrics in colonoscopy is colorectal cancer incidence and mortality, but because of feasibility issues, a more readily accessible metric is the adenoma detection rate (ADR). Fourteen quality metrics were proposed by the joint American Society of Gastrointestinal Endoscopy/American College of Gastroenterology Task Force on “Quality Indicators for Colonoscopy” in 2006, which are described in further detail below. Use of electronic health records and quality-oriented registries will facilitate quality measurement and reporting. Unlike traditional clinical research, implementation of quality improvement initiatives involves rapid assessments and changes on an iterative basis, and can be done at the individual, group, or facility level. PMID:23931862
Heelan, Judith S; Struminsky, Judith; Lauro, Patricia; Sung, C James
2005-02-01
Studies at two Brown Medical School-affiliated hospitals were undertaken to evaluate a new selective broth medium (GBS broth) and to compare it to the LIM broth currently used to culture for group B streptococci. Beta-hemolytic group B streptococci produce a carotenoid pigment that turns GBS broth an orange color. From a total of 580 pregnant women, duplicate vaginal-rectal swabs were collected at 35 to 37 weeks of gestation and cultured for group B streptococci, using either LIM broth (a selective broth containing antibiotics) or GBS broth for enrichment. Specimens were either transported to the laboratory or immediately placed in the respective enrichment broths and delivered to the laboratory. GBS broth medium had sensitivity, specificity, and positive and negative predictive values of 87.8, 100, 100, and 95.1% when planted in the laboratory and 90.3, 100, 100 and 97.6%, respectively, when inoculated at bedside. Use of GBS broth would satisfy Centers for Disease Control and Prevention requirements and would provide faster, more-sensitive, and cost-effective detection of group B streptococci in pregnant women.
ERIC Educational Resources Information Center
Bianchini, Kevin J.; Etherton, Joseph L.; Greve, Kevin W.; Heinly, Matthew T.; Meyers, John E.
2008-01-01
The purpose of this study was to determine the accuracy of "Minnesota Multiphasic Personality Inventory" 2nd edition (MMPI-2; Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) validity indicators in the detection of malingering in clinical patients with chronic pain using a hybrid clinical-known groups/simulator design. The…
Implementation of electronic medical records
Greiver, Michelle; Barnsley, Jan; Glazier, Richard H.; Moineddin, Rahim; Harvey, Bart J.
2011-01-01
Abstract Objective To study the effect of electronic medical record (EMR) implementation on preventive services covered by Ontario’s pay-for-performance program. Design Prospective double-cohort study. Participants Twenty-seven community-based family physicians. Setting Toronto, Ont. Intervention Eighteen physicians implemented EMRs, while 9 physicians continued to use paper records. Main outcome measure Provision of 4 preventive services affected by pay-for-performance incentives (Papanicolaou tests, screening mammograms, fecal occult blood testing, and influenza vaccinations) in the first 2 years of EMR implementation. Results After adjustment, combined preventive services for the EMR group increased by 0.7%, a smaller increase than that seen in the non-EMR group (P = .55, 95% confidence interval −2.8 to 3.9). Conclusion When compared with paper records, EMR implementation had no significant effect on the provision of the 4 preventive services studied. PMID:21998246
Flight elements: Fault detection and fault management
NASA Technical Reports Server (NTRS)
Lum, H.; Patterson-Hine, A.; Edge, J. T.; Lawler, D.
1990-01-01
Fault management for an intelligent computational system must be developed using a top down integrated engineering approach. An approach proposed includes integrating the overall environment involving sensors and their associated data; design knowledge capture; operations; fault detection, identification, and reconfiguration; testability; causal models including digraph matrix analysis; and overall performance impacts on the hardware and software architecture. Implementation of the concept to achieve a real time intelligent fault detection and management system will be accomplished via the implementation of several objectives, which are: Development of fault tolerant/FDIR requirement and specification from a systems level which will carry through from conceptual design through implementation and mission operations; Implementation of monitoring, diagnosis, and reconfiguration at all system levels providing fault isolation and system integration; Optimize system operations to manage degraded system performance through system integration; and Lower development and operations costs through the implementation of an intelligent real time fault detection and fault management system and an information management system.
NASA Astrophysics Data System (ADS)
Tsai, Chih-Hung; Zhang, Jia-Wei; Liao, Yi-Yi; Liu, Hao-Li
2016-04-01
Burst-tone focused ultrasound exposure in the presence of microbubbles has been demonstrated to be effective at inducing temporal and local opening of the blood-brain barrier (BBB), which promises significant clinical potential to deliver therapeutic molecules into the central nervous system (CNS). Traditional contrast-enhanced imaging confirmation after focused ultrasound (FUS) exposure serves as a post-operative indicator of the effectiveness of FUS-BBB opening, however, an indicator that can concurrently report the BBB status and BBB-opening effectiveness is required to provide effective feedback to implement this treatment clinically. In this study, we demonstrate the use of subharmonic acoustic emission detection with implementation on a confocal dual-frequency piezoelectric ceramic structure to perform real-time monitoring of FUS-BBB opening. A confocal dual-frequency (0.55 MHz/1.1 MHz) focused ultrasound transducer was designed. The 1.1 MHz spherically-curved ceramic was employed to deliver FUS exposure to induce BBB-opening, whereas the outer-ring 0.55 MHz ceramic was employed to detect the subharmonic acoustic emissions originating from the target position. In stage-1 experiments, we employed spectral analysis and performed an energy spectrum density (ESD) calculation. An optimized 0.55 MHz ESD level change was shown to effectively discriminate the occurrence of BBB-opening. Wideband acoustic emissions received from 0.55 MHz ceramics were also analyzed to evaluate its correlations with erythrocyte extravasations. In stage-2 real-time monitoring experiments, we applied the predetermined ESD change as a detection threshold in PC-controlled algorithm to predict the FUS exposure intra-operatively. In stage-1 experiment, we showed that subharmonic ESD presents distinguishable dynamics between intact BBB and opened BBB, and therefore a threshold ESD change level (5.5 dB) can be identified for BBB-opening prediction. Using this ESD change threshold detection as a
Tsai, Chih-Hung; Zhang, Jia-Wei; Liao, Yi-Yi; Liu, Hao-Li
2016-04-07
Burst-tone focused ultrasound exposure in the presence of microbubbles has been demonstrated to be effective at inducing temporal and local opening of the blood-brain barrier (BBB), which promises significant clinical potential to deliver therapeutic molecules into the central nervous system (CNS). Traditional contrast-enhanced imaging confirmation after focused ultrasound (FUS) exposure serves as a post-operative indicator of the effectiveness of FUS-BBB opening, however, an indicator that can concurrently report the BBB status and BBB-opening effectiveness is required to provide effective feedback to implement this treatment clinically. In this study, we demonstrate the use of subharmonic acoustic emission detection with implementation on a confocal dual-frequency piezoelectric ceramic structure to perform real-time monitoring of FUS-BBB opening. A confocal dual-frequency (0.55 MHz/1.1 MHz) focused ultrasound transducer was designed. The 1.1 MHz spherically-curved ceramic was employed to deliver FUS exposure to induce BBB-opening, whereas the outer-ring 0.55 MHz ceramic was employed to detect the subharmonic acoustic emissions originating from the target position. In stage-1 experiments, we employed spectral analysis and performed an energy spectrum density (ESD) calculation. An optimized 0.55 MHz ESD level change was shown to effectively discriminate the occurrence of BBB-opening. Wideband acoustic emissions received from 0.55 MHz ceramics were also analyzed to evaluate its correlations with erythrocyte extravasations. In stage-2 real-time monitoring experiments, we applied the predetermined ESD change as a detection threshold in PC-controlled algorithm to predict the FUS exposure intra-operatively. In stage-1 experiment, we showed that subharmonic ESD presents distinguishable dynamics between intact BBB and opened BBB, and therefore a threshold ESD change level (5.5 dB) can be identified for BBB-opening prediction. Using this ESD change threshold detection as a
NASA Astrophysics Data System (ADS)
Pietrzyk, Mariusz W.; Rannou, Didier; Brennan, Patrick C.
2012-02-01
This pilot study examines the effect of a novel decision support system in medical image interpretation. This system is based on combining image spatial frequency properties and eye-tracking data in order to recognize over and under calling errors. Thus, before it can be implemented as a detection aided schema, training is required during which SVMbased algorithm learns to recognize FP from all reported outcomes, and, FN from all unreported prolonged dwelled regions. Eight radiologists inspected 50 PA chest radiographs with the specific task of identifying lung nodules. Twentyfive cases contained CT proven subtle malignant lesions (5-20mm), but prevalence was not known by the subjects, who took part in two sequential reading sessions, the second, without and with support system feedback. MCMR ROC DBM and JAFROC analyses were conducted and demonstrated significantly higher scores following feedback with p values of 0.04, and 0.03 respectively, highlighting significant improvements in radiology performance once feedback was used. This positive effect on radiologists' performance might have important implications for future CAD-system development.
Conducting polymer based DNA biosensor for the detection of the Bacillus cereus group species
NASA Astrophysics Data System (ADS)
Velusamy, Vijayalakshmi; Arshak, Khalil; Korostynska, Olga; Oliwa, Kamila; Adley, Catherine
2009-05-01
Biosensor designs are emerging at a significant rate and play an increasingly important role in foodborne pathogen detection. Conducting polymers are excellent tools for the fabrication of biosensors and polypyrrole has been used in the detection of biomolecules due to its unique properties. The prime intention of this paper was to pioneer the design and fabrication of a single-strand (ss) DNA biosensor for the detection of the Bacillus cereus (B.cereus) group species. Growth of B. cereus, results in production of several highly active toxins. Therefore, consumption of food containing >106 bacteria/gm may results in emetic and diarrhoeal syndromes. The most common source of this bacterium is found in liquid food products, milk powder, mixed food products and is of particular concern in the baby formula industry. The electrochemical deposition technique, such as cyclic voltammetry, was used to develop and test a model DNA-based biosensor on a gold electrode electropolymerized with polypyrrole. The electrically conducting polymer, polypyrrole is used as a platform for immobilizing DNA (1μg) on the gold electrode surface, since it can be more easily deposited from neutral pH aqueous solutions of pyrrolemonomers. The average current peak during the electrodeposition event is 288μA. There is a clear change in the current after hybridization of the complementary oligonucleotide (6.35μA) and for the noncomplementary oligonucleotide (5.77μA). The drop in current after each event was clearly noticeable and it proved to be effective.
Clinical value of polymerase chain reaction in detecting group B streptococcus during labor.
Koppes, Dorothea Maria; Vriends, Antonius Arnoldus Cornelis Maria; van Rijn, Michiel; van Heesewijk, Antonine Dimphne
2017-06-01
To reduce the intrapartum use of antibiotics in women with prolonged rupture of the membranes (PROM) by restriction of antibiotics to women who are colonized with group B streptococci (GBS), as identified with the Cepheid Gene Xpert polymerase chain reaction (PCR) for detecting GBS. We conducted a randomized controlled trial among full-term delivering women with PROM. Fifty-four women were enrolled, based on a power calculation with a significance level of 5% and a power of 95%. Twenty-seven women received the standard treatment (rectovaginal swab [RVS] for bacterial culture and antibiotics). For another 27 women PCR was performed on the RVS and antibiotics were used only when the PCR was positive. The primary outcome was reduction in antibiotic use, defined as the percentage of women who received antibiotics during labor. 54 Women were enrolled in the study between 1 May and 18 November 2014. There were no significant differences in baseline characteristics. In total, 10 of the 54 women were GBS positive (18.5%). Of those 10 women, three were identified on bacterial culture and seven on PCR. In the bacterial culture group all the women received antibiotics. In the PCR group 10 women (37%) received antibiotics (P = 0.002). Two false-positive PCR tests were identified. There were no false-negative PCR tests. Real-time identification of GBS on PCR reduces the intrapartum use of antibiotics in women with PROM. © 2017 Japan Society of Obstetrics and Gynecology.
Detecting livestock production zones.
Grisi-Filho, J H H; Amaku, M; Ferreira, F; Dias, R A; Neto, J S Ferreira; Negreiros, R L; Ossada, R
2013-07-01
Communities are sets of nodes that are related in an important way, most likely sharing common properties and/or playing similar roles within a network. Unraveling a network structure, and hence the trade preferences and pathways, could be useful to a researcher or a decision maker. We implemented a community detection algorithm to find livestock communities, which is consistent with the definition of a livestock production zone, assuming that a community is a group of farm premises in which an animal is more likely to stay during its lifetime than expected by chance. We applied this algorithm to the network of animal movements within the state of Mato Grosso for 2007. This database holds information concerning 87,899 premises and 521,431 movements throughout the year, totaling 15,844,779 animals moved. The community detection algorithm achieved a network partition that shows a clear geographical and commercial pattern, two crucial features for preventive veterinary medicine applications; this algorithm provides also a meaningful interpretation to trade networks where links emerge based on trader node choices. Copyright © 2013 Elsevier B.V. All rights reserved.
NASA Technical Reports Server (NTRS)
Schoenwald, Adam J.; Bradley, Damon C.; Mohammed, Priscilla N.; Piepmeier, Jeffrey R.; Wong, Mark
2016-01-01
Radio-frequency interference (RFI) is a known problem for passive remote sensing as evidenced in the L-band radiometers SMOS, Aquarius and more recently, SMAP. Various algorithms have been developed and implemented on SMAP to improve science measurements. This was achieved by the use of a digital microwave radiometer. RFI mitigation becomes more challenging for microwave radiometers operating at higher frequencies in shared allocations. At higher frequencies larger bandwidths are also desirable for lower measurement noise further adding to processing challenges. This work focuses on finding improved RFI mitigation techniques that will be effective at additional frequencies and at higher bandwidths. To aid the development and testing of applicable detection and mitigation techniques, a wide-band RFI algorithm testing environment has been developed using the Reconfigurable Open Architecture Computing Hardware System (ROACH) built by the Collaboration for Astronomy Signal Processing and Electronics Research (CASPER) Group. The testing environment also consists of various test equipment used to reproduce typical signals that a radiometer may see including those with and without RFI. The testing environment permits quick evaluations of RFI mitigation algorithms as well as show that they are implementable in hardware. The algorithm implemented is a complex signal kurtosis detector which was modeled and simulated. The complex signal kurtosis detector showed improved performance over the real kurtosis detector under certain conditions. The real kurtosis is implemented on SMAP at 24 MHz bandwidth. The complex signal kurtosis algorithm was then implemented in hardware at 200 MHz bandwidth using the ROACH. In this work, performance of the complex signal kurtosis and the real signal kurtosis are compared. Performance evaluations and comparisons in both simulation as well as experimental hardware implementations were done with the use of receiver operating characteristic (ROC
Quantile regression for the statistical analysis of immunological data with many non-detects.
Eilers, Paul H C; Röder, Esther; Savelkoul, Huub F J; van Wijk, Roy Gerth
2012-07-07
Immunological parameters are hard to measure. A well-known problem is the occurrence of values below the detection limit, the non-detects. Non-detects are a nuisance, because classical statistical analyses, like ANOVA and regression, cannot be applied. The more advanced statistical techniques currently available for the analysis of datasets with non-detects can only be used if a small percentage of the data are non-detects. Quantile regression, a generalization of percentiles to regression models, models the median or higher percentiles and tolerates very high numbers of non-detects. We present a non-technical introduction and illustrate it with an implementation to real data from a clinical trial. We show that by using quantile regression, groups can be compared and that meaningful linear trends can be computed, even if more than half of the data consists of non-detects. Quantile regression is a valuable addition to the statistical methods that can be used for the analysis of immunological datasets with non-detects.
The Role of Group Regulation in Student Groups: A Pedagogical Exploration
ERIC Educational Resources Information Center
Harris, Garth; Bristow, Dennis
2016-01-01
When tasked with group projects, students often struggle with teamwork and tend to overlook the importance of group self-regulation and its role in effective collaborative work. The pedagogy was implemented in semester long university level new product development courses. The pedagogy illustrates how educators can use student generated weekly…
Chahine, Saad; Cristancho, Sayra; Padgett, Jessica; Lingard, Lorelei
2017-06-01
In the competency-based medical education (CBME) approach, clinical competency committees are responsible for making decisions about trainees' competence. However, we currently lack a theoretical model for group decision-making to inform this emerging assessment phenomenon. This paper proposes an organizing framework to study and guide the decision-making processes of clinical competency committees.This is an explanatory, non-exhaustive review, tailored to identify relevant theoretical and evidence-based papers related to small group decision-making. The search was conducted using Google Scholar, Web of Science, MEDLINE, ERIC, and PsycINFO for relevant literature. Using a thematic analysis, two researchers (SC & JP) met four times between April-June 2016 to consolidate the literature included in this review.Three theoretical orientations towards group decision-making emerged from the review: schema, constructivist, and social influence. Schema orientations focus on how groups use algorithms for decision-making. Constructivist orientations focus on how groups construct their shared understanding. Social influence orientations focus on how individual members influence the group's perspective on a decision. Moderators of decision-making relevant to all orientations include: guidelines, stressors, authority, and leadership.Clinical competency committees are the mechanisms by which groups of clinicians will be in charge of interpreting multiple assessment data points and coming to a shared decision about trainee competence. The way in which these committees make decisions can have huge implications for trainee progression and, ultimately, patient care. Therefore, there is a pressing need to build the science of how such group decision-making works in practice. This synthesis suggests a preliminary organizing framework that can be used in the implementation and study of clinical competency committees.
Influence of Computer-Aided Detection on Performance of Screening Mammography
Fenton, Joshua J.; Taplin, Stephen H.; Carney, Patricia A.; Abraham, Linn; Sickles, Edward A.; D'Orsi, Carl; Berns, Eric A.; Cutter, Gary; Hendrick, R. Edward; Barlow, William E.; Elmore, Joann G.
2011-01-01
Background Computer-aided detection identifies suspicious findings on mammograms to assist radiologists. Since the Food and Drug Administration approved the technology in 1998, it has been disseminated into practice, but its effect on the accuracy of interpretation is unclear. Methods We determined the association between the use of computer-aided detection at mammography facilities and the performance of screening mammography from 1998 through 2002 at 43 facilities in three states. We had complete data for 222,135 women (a total of 429,345 mammograms), including 2351 women who received a diagnosis of breast cancer within 1 year after screening. We calculated the specificity, sensitivity, and positive predictive value of screening mammography with and without computer-aided detection, as well as the rates of biopsy and breast-cancer detection and the overall accuracy, measured as the area under the receiver-operating-characteristic (ROC) curve. Results Seven facilities (16%) implemented computer-aided detection during the study period. Diagnostic specificity decreased from 90.2% before implementation to 87.2% after implementation (P<0.001), the positive predictive value decreased from 4.1% to 3.2% (P = 0.01), and the rate of biopsy increased by 19.7% (P<0.001). The increase in sensitivity from 80.4% before implementation of computer-aided detection to 84.0% after implementation was not significant (P = 0.32). The change in the cancer-detection rate (including invasive breast cancers and ductal carcinomas in situ) was not significant (4.15 cases per 1000 screening mammograms before implementation and 4.20 cases after implementation, P = 0.90). Analyses of data from all 43 facilities showed that the use of computer-aided detection was associated with significantly lower overall accuracy than was nonuse (area under the ROC curve, 0.871 vs. 0.919; P = 0.005). Conclusions The use of computer-aided detection is associated with reduced accuracy of interpretation of
Foster, D H; Westland, S
1998-01-01
Visual search for an edge or line element differing in orientation from a background of other edge or line elements can be performed rapidly and effortlessly. In this study, based on psychophysical measurements with ten human observers, threshold values of the angle between a target and background line elements were obtained as functions of background-element orientation, in brief masked displays. A repeated-loess analysis of the threshold functions suggested the existence of several groups of orientation-selective mechanisms contributing to rapid orientated-line detection; specifically, coarse, intermediate and fine mechanisms with preferred orientations spaced at angles of approximately 90 degrees, 35 degrees, and 10 degrees-25 degrees, respectively. The preferred orientations of coarse and some intermediate mechanisms coincided with the vertical or horizontal of the frontoparallel plane, but the preferred orientations of fine mechanisms varied randomly from observer to observer, possibly reflecting individual variations in neuronal sampling characteristics. PMID:9753784
Implementation and de-implementation: two sides of the same coin?
van Bodegom-Vos, Leti; Davidoff, Frank; Marang-van de Mheen, Perla J
2017-06-01
Avoiding low value care received increasing attention in many countries, as with the Choosing Wisely campaign and other initiatives to abandon care that wastes resources or delivers no benefit to patients. While an extensive literature characterises approaches to implementing evidence-based care, we have limited understanding of the process of de-implementation, such as abandoning existing low value practices. To learn more about the differences between implementation and de-implementation, we explored the literature and analysed data from two published studies (one implementation and one de-implementation) by the same orthopaedic surgeons. We defined 'leaders' as those orthopaedic surgeons who implemented, or de-implemented, the target processes of care and laggards as those who did not. Our findings suggest that leaders in implementation share some characteristics with leaders in de-implementation when comparing them with laggards, such as more open to new evidence, younger and less time in clinical practice. However, leaders in de-implementation and implementation differed in some other characteristics and were not the same persons. Thus, leading in implementation or de-implementation may depend to some degree on the type of intervention rather than entirely reflecting personal characteristics. De-implementation seemed to be hampered by motivational factors such as department priorities, and economic and political factors such as cost-benefit considerations in care delivery, whereas organisational factors were associated only with implementation. The only barrier or facilitator common to both implementation and de-implementation consisted of outcome expectancy (ie, the perceived net benefit to patients). Future studies need to test the hypotheses generated from this study and improve our understanding of differences between the processes of implementation and de-implementation in the people who are most likely to lead (or resist) these efforts. Published by the
Implementation of sobel method to detect the seed rubber plant leaves
NASA Astrophysics Data System (ADS)
Suyanto; Munte, J.
2018-03-01
This research was conducted to develop a system that can identify and recognize the type of rubber tree based on the pattern of leaves of the plant. The steps research are started with the identification of the image data acquisition, image processing, image edge detection and identification method template matching. Edge detection is using Sobel edge detection. Pattern recognition would detect image as input and compared with other images in a database called templates. Experiments carried out in one phase, identification of the leaf edge, using a rubber plant leaf image 14 are superior and 5 for each type of test images (clones) of the plant. From the experimental results obtained by the recognition rate of 91.79%.
NASA Astrophysics Data System (ADS)
Merk, D.; Zinner, T.
2013-02-01
In this paper a new detection scheme for Convective Initation (CI) under day and night conditions is presented. The new algorithm combines the strengths of two existing methods for detecting Convective Initation with geostationary satellite data and uses the channels of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard Meteosat Second Generation (MSG). For the new algorithm five infrared criteria from the Satellite Convection Analysis and Tracking algorithm (SATCAST) and one High Resolution Visible channel (HRV) criteria from Cb-TRAM were adapted. This set of criteria aims for identifying the typical development of quickly developing convective cells in an early stage. The different criteria include timetrends of the 10.8 IR channel and IR channel differences as well as their timetrends. To provide the trend fields an optical flow based method is used, the Pyramidal Matching algorithm which is part of Cb-TRAM. The new detection scheme is implemented in Cb-TRAM and is verified for seven days which comprise different weather situations in Central Europe. Contrasted with the original early stage detection scheme of Cb-TRAM skill scores are provided. From the comparison against detections of later thunderstorm stages, which are also provided by Cb-TRAM, a decrease in false prior warnings (false alarm ratio) from 91 to 81% is presented, an increase of the critical success index from 7.4 to 12.7%, and a decrease of the BIAS from 320 to 146% for normal scan mode. Similar trends are found for rapid scan mode. Most obvious is the decline of false alarms found for synoptic conditions with upper cold air masses triggering convection.
NASA Astrophysics Data System (ADS)
Merk, D.; Zinner, T.
2013-08-01
In this paper a new detection scheme for convective initiation (CI) under day and night conditions is presented. The new algorithm combines the strengths of two existing methods for detecting CI with geostationary satellite data. It uses the channels of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard Meteosat Second Generation (MSG). For the new algorithm five infrared (IR) criteria from the Satellite Convection Analysis and Tracking algorithm (SATCAST) and one high-resolution visible channel (HRV) criteria from Cb-TRAM were adapted. This set of criteria aims to identify the typical development of quickly developing convective cells in an early stage. The different criteria include time trends of the 10.8 IR channel, and IR channel differences, as well as their time trends. To provide the trend fields an optical-flow-based method is used: the pyramidal matching algorithm, which is part of Cb-TRAM. The new detection scheme is implemented in Cb-TRAM, and is verified for seven days which comprise different weather situations in central Europe. Contrasted with the original early-stage detection scheme of Cb-TRAM, skill scores are provided. From the comparison against detections of later thunderstorm stages, which are also provided by Cb-TRAM, a decrease in false prior warnings (false alarm ratio) from 91 to 81% is presented, an increase of the critical success index from 7.4 to 12.7%, and a decrease of the BIAS from 320 to 146% for normal scan mode. Similar trends are found for rapid scan mode. Most obvious is the decline of false alarms found for the synoptic class "cold air" masses.
Stahl, Joachim S; Wang, Song
2008-03-01
Many natural and man-made structures have a boundary that shows a certain level of bilateral symmetry, a property that plays an important role in both human and computer vision. In this paper, we present a new grouping method for detecting closed boundaries with symmetry. We first construct a new type of grouping token in the form of symmetric trapezoids by pairing line segments detected from the image. A closed boundary can then be achieved by connecting some trapezoids with a sequence of gap-filling quadrilaterals. For such a closed boundary, we define a unified grouping cost function in a ratio form: the numerator reflects the boundary information of proximity and symmetry and the denominator reflects the region information of the enclosed area. The introduction of the region-area information in the denominator is able to avoid a bias toward shorter boundaries. We then develop a new graph model to represent the grouping tokens. In this new graph model, the grouping cost function can be encoded by carefully designed edge weights and the desired optimal boundary corresponds to a special cycle with a minimum ratio-form cost. We finally show that such a cycle can be found in polynomial time using a previous graph algorithm. We implement this symmetry-grouping method and test it on a set of synthetic data and real images. The performance is compared to two previous grouping methods that do not consider symmetry in their grouping cost functions.
Ertas, Gokhan
2018-07-01
To assess the value of joint evaluation of diffusion tensor imaging (DTI) measures by using logistic regression modelling to detect high GS risk group prostate tumors. Fifty tumors imaged using DTI on a 3 T MRI device were analyzed. Regions of interests focusing on the center of tumor foci and noncancerous tissue on the maps of mean diffusivity (MD) and fractional anisotropy (FA) were used to extract the minimum, the maximum and the mean measures. Measure ratio was computed by dividing tumor measure by noncancerous tissue measure. Logistic regression models were fitted for all possible pair combinations of the measures using 5-fold cross validation. Systematic differences are present for all MD measures and also for all FA measures in distinguishing the high risk tumors [GS ≥ 7(4 + 3)] from the low risk tumors [GS ≤ 7(3 + 4)] (P < 0.05). Smaller value for MD measures and larger value for FA measures indicate the high risk. The models enrolling the measures achieve good fits and good classification performances (R 2 adj = 0.55-0.60, AUC = 0.88-0.91), however the models using the measure ratios perform better (R 2 adj = 0.59-0.75, AUC = 0.88-0.95). The model that employs the ratios of minimum MD and maximum FA accomplishes the highest sensitivity, specificity and accuracy (Se = 77.8%, Sp = 96.9% and Acc = 90.0%). Joint evaluation of MD and FA diffusion tensor imaging measures is valuable to detect high GS risk group peripheral zone prostate tumors. However, use of the ratios of the measures improves the accuracy of the detections substantially. Logistic regression modelling provides a favorable solution for the joint evaluations easily adoptable in clinical practice. Copyright © 2018 Elsevier Inc. All rights reserved.
Mata-Cases, M; Artola, S; Escalada, J; Ezkurra-Loyola, P; Ferrer-García, J C; Fornos, J A; Girbés, J; Rica, I
2015-01-01
In Spain, according to the Di@bet.es study, 13.8% of the adult population suffers from diabetes and 14.8% from some form of prediabetes (impaired glucose tolerance, impaired fasting glucose or both). Since early detection of prediabetes can facilitate the implementation of therapeutic measures to prevent its progression to diabetes, we believe that preventive strategies in primary care and specialized clinical settings should be agreed. Screening for diabetes and prediabetes using a specific questionnaire (FINDRISC) and/or the measurement of fasting plasma glucose in high risk patients leads to detecting patients at risk of developing diabetes and it is necessary to consider how they should be managed. The intervention in lifestyle can reduce the progression to diabetes and reverse a prediabetic state to normal and is a cost-effective intervention. Some drugs, such as metformin, have also been shown effective in reducing the progression to diabetes but are not superior to non-pharmacological interventions. Finally, an improvement in some cardiovascular risk factors has been observed although there is no strong evidence supporting the effectiveness of screening in terms of morbility and mortality. The Consensus and Clinical Guidelines Working Group of the Spanish Diabetes Society has issued some recommendations that have been agreed by the Sociedad Española de Endocrinología y Nutrición, Sociedad Española de Endocrinología Pediátrica, Sociedad Española de Farmacia Comunitaria, Sociedad Española de Medicina Familiar y Comunitaria, Sociedad Española de Médicos Generales, Sociedad Española de Médicos de Atención Primaria, Sociedad Española de Medicina Interna, Asociación de Enfermería Comunitaria and Red de Grupos de Estudio de la Diabetes en Atención Primaria. Copyright © 2014 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.
Implementing an Intrusion Detection System in the Mysea Architecture
2008-06-01
password for each user passwd <username> then follow the prompts 2. PostgreSQL 7.4.18 Installation Perform the following steps as root: 1. Copy...password changed Repeat for user snort. exit After making the groups and users the group and passwd file needs to be updated. Set security and...untrusted/bin/xtsmkgroup > /etc/group chmod 644 /etc/group /xts/untrusted/bin/xtsmkpasswd > /etc/ passwd chmod 644 /etc/ passwd 3. PostgreSQL 7.4.18
NASA Astrophysics Data System (ADS)
Skoog, R. A.
2007-12-01
Web pages are ubiquitous and accessible, but when compared to stand-alone applications they are limited in capability. The Alaska Volcano Observatory (AVO) Remote Sensing Group has implemented web pages and supporting server software that provide relatively advanced features to any user able to meet basic requirements. Anyone in the world with access to a modern web browser (such as Mozilla Firefox 1.5 or Internet Explorer 6) and reasonable internet connection can fully use the tools, with no software installation or configuration. This allows faculty, staff and students at AVO to perform many aspects of volcano monitoring from home or the road as easily as from the office. Additionally, AVO collaborators such as the National Weather Service and the Anchorage Volcanic Ash Advisory Center are able to use these web tools to quickly assess volcanic events. Capabilities of this web software include (1) ability to obtain accurate measured remote sensing data values on an semi- quantitative compressed image of a large area, (2) to view any data from a wide time range of data swaths, (3) to view many different satellite remote sensing spectral bands and combinations, to adjust color range thresholds, (4) and to export to KML files which are viewable virtual globes such as Google Earth. The technologies behind this implementation are primarily Javascript, PHP, and MySQL which are free to use and well documented, in addition to Terascan, a commercial software package used to extract data from level-0 data files. These technologies will be presented in conjunction with the techniques used to combine them into the final product used by AVO and its collaborators for operational volcanic monitoring.
Burgess, Annette; Roberts, Chris; Ayton, Tom; Mellis, Craig
2018-04-10
While Problem Based Learning (PBL) has long been established internationally, Team-based learning (TBL) is a relatively new pedagogy in medical curricula. Both PBL and TBL are designed to facilitate a learner-centred approach, where students, in interactive small groups, use peer-assisted learning to solve authentic, professionally relevant problems. Differences, however, exist between PBL and TBL in terms of preparation requirements, group numbers, learning strategies, and class structure. Although there are many similarities and some differences between PBL and TBL, both rely on constructivist learning theory to engage and motivate students in their learning. The aim of our study was to qualitatively explore students' perceptions of having their usual PBL classes run in TBL format. In 2014, two iterations in a hybrid PBL curriculum were converted to TBL format, with two PBL groups of 10 students each, being combined to form one TBL class of 20, split into four groups of five students. At the completion of two TBL sessions, all students were invited to attend one of two focus groups, with 14 attending. Thematic analysis was used to code and categorise the data into themes, with constructivist theory used as a conceptual framework to identify recurrent themes. Four key themes emerged; guided learning, problem solving, collaborative learning, and critical reflection. Although structured, students were attracted to the active and collaborative approach of TBL. They perceived the key advantages of TBL to include the smaller group size, the preparatory Readiness Assurance Testing process, facilitation by a clinician, an emphasis on basic science concepts, and immediate feedback. The competitiveness of TBL was seen as a spur to learning. These elements motivated students to prepare, promoted peer assisted teaching and learning, and focussed team discussion. An important advantage of PBL over TBL, was the opportunity for adequate clinical reasoning within the problem
Assis, Andrêssa Silvino Ferreira; Cruz, Lucas Taffarel; Ferreira, Aline Siqueira; Bessa, Martha Eunice; de Oliveira Pinto, Miriam Aparecida; Vieira, Carmen Baur; Otenio, Marcelo Henrique; Miagostovich, Marize Pereira; da Rosa E Silva, Maria Luzia
2015-05-01
Enteric viruses are present in aquatic environments due to contamination by raw sewage, even in the absence of fecal coliforms, which are considered to be significant indicators when it comes to microbial water quality assessment. This study investigated the presence of group A rotavirus (RVA) in surface water from a river basin in Minas Gerais, Brazil, assessing the influence of the urbanization, the rainfall, and the microbiological and physico-chemical parameters regarding water quality. Forty-eight surface water samples collected in urbanized and non-urbanized areas, both in dry and rainy periods, were obtained throughout the study. The viral particles were concentrated by adsorption-elution in a negatively charged membrane. Fecal coliforms, as well as physico-chemical water parameters were determined at each point in all collections. The RVA was detected in 62.5 % (30/48) of the water samples through a real-time PCR assay. All the sequenced RVA strains belonged to genotype I1. The RVA was detected in 50.0 % (11/22) of the water samples regarded as being acceptable by current microbiological standards. The presence of the RVA and the viral load were influenced by the collection area (p < 0.05). It was also observed a significant association between the RVA and detecting the turbidity of water (p < 0.05). The collected data showed a high level of contamination in this watershed by the discharge of raw sewage, highlighting the need for urgent measures to improve water quality, ensuring the safe use of this matrix.
Implementation of Pharmaceutical Practice Guidelines by a Project Model Based
Mahmoudi, Laleh; Karamikhah, Razieh; Mahdavinia, Azadeh; Samiei, Hasan; Petramfar, Peyman; Niknam, Ramin
2015-01-01
Abstract All around the world a few studies have been found on the effect of guideline implementation on direct medications’ expenditure. The goal of this study was to evaluate cost savings of guideline implementation among patients who had to receive 3 costly medications including albumin, enoxaparin, and pantoprazole in a tertiary hospital in Shiraz, Iran. An 8-month prospective study was performed in 2 groups; group 1 as an observational group (control group) in 4 months from June to September 2014 and group 2 as an interventional group from October 2014 to January 2015. For group 1 the pattern of costly medications usage was determined without any intervention. For group 2, after guideline implementation, the economic impact was evaluated by making comparisons between the data achieved from the 2 groups. A total of 12,680 patients were evaluated during this study (6470 in group 1; 6210 in group 2). The reduction in the total value of costly administered drugs was 56% after guideline implementation. Such reduction in inappropriate prescribing accounts for the saving of 85,625 United States dollars (USD) monthly and estimated 1,027,500 USD annually. Guideline implementation could improve the adherence of evidence-based drug utilization and resulted in significant cost savings in a major teaching medical center via a decrease in inappropriate prescribing of costly medications. PMID:26496288
NASA Astrophysics Data System (ADS)
Iriart Braceli, Agustín; Exequiel Morani, Jorge
2011-12-01
This article describes the design, technical aspects and implementation of a device capable of acquiring electrocardiograph signals; visualize them in real time over a graphic liquid crystal display (GLCD), and the storage of these ECG registers on a SD memory card. It also details a noise suppression algorithm using the Wavelet Transform. This system was specially developed to cover some bankruptcy that presents actual Holters or ECG regarding the detection of paroxysmal arrhythmias. The contribution of this work is settled on its portability and low production cost. The filtering method used provides an ECG signal without any significant noise and appropriate to the diagnosis of cardiac pathologies.
Louie, L.; Kotowich, L.; Meaney, H.; Vearncombe, M.; Simor, A. E.
2010-01-01
We compared StrepB Select medium (Select) after enrichment with conventional culture for the detection of Group B Streptococcus (GBS). Postenrichment sensitivities of Select and conventional culture were 98.8% and 92.2%, respectively (P < 0.05). Select was superior for detection of GBS from vaginal-rectal specimens. Growth of non-GBS colonies required additional work to exclude the presence of GBS, especially after 48 h of incubation. Incubation of Select beyond 24 h did not significantly increase the yield of GBS. PMID:20962144
NASA Astrophysics Data System (ADS)
Vijayaraghavan, Rukmani; Ricker, Paul M.
2015-05-01
Ram pressure stripping can remove hot and cold gas from galaxies in the intracluster medium, as shown by observations of X-ray and H I galaxy wakes in nearby clusters of galaxies. However, ram pressure stripping, including pre-processing in group environments, does not remove all the hot coronal gas from cluster galaxies. Recent high-resolution Chandra observations have shown that ˜1-4 kpc extended, hot galactic coronae are ubiquitous in group and cluster galaxies. To better understand this result, we simulate ram pressure stripping of a cosmologically motivated population of galaxies in isolated group and cluster environments. The galaxies and the host group and cluster are composed of collisionless dark matter and hot gas initially in hydrostatic equilibrium with the galaxy and host potentials. We show that the rate at which gas is lost depends on the galactic and host halo mass. Using synthetic X-ray observations, we evaluate the detectability of stripped galactic coronae in real observations by stacking images on the known galaxy centres. We find that coronal emission should be detected within ˜10 arcsec, or ˜5 kpc up to ˜2.3 Gyr in the lowest (0.1-1.2 keV) energy band. Thus, the presence of observed coronae in cluster galaxies significantly smaller than the hot X-ray haloes of field galaxies indicates that at least some gas removal occurs within cluster environments for recently accreted galaxies. Finally, we evaluate the possibility that existing and future X-ray cluster catalogues can be used in combination with optical galaxy positions to detect galactic coronal emission via stacking analysis. We briefly discuss the effects of additional physical processes on coronal survival, and will address them in detail in future papers in this series.
Green, M; Dashefsky, B; Wald, E R; Laifer, S; Harger, J; Guthrie, R
1993-01-01
As part of a clinical investigation evaluating the efficacy of intrapartum antigen detection for screening for heavy vaginal colonization with group B streptococci (GBS), we compared the performance of modified Bactigen and Directigen GBS latex particle agglutination (LPA) kits. Paired vaginal swabs obtained from women in labor were rapidly transported to the laboratory and used for culturing (both swabs) and LPA testing (one swab by each method). GBS growth was estimated semiquantitatively and further designated as light or heavy growth. Performance specifications for each method were determined by comparing LPA and culture results from the same swab. A total of 4,251 paired swabs were evaluated during the study period. The performance specifications for detecting GBS growth of any degree for Bactigen and Directigen, respectively, were as follows: sensitivity, 20 and 24%; specificity, 99 and 99%. The performance specifications for heavy colonization for Bactigen and Directigen, respectively, were as follows: sensitivity, 57 and 62%; specificity, 99 and 99%. Neither LPA kit was a sensitive indicator of vaginal colonization with GBS or neonatal infection.
ERIC Educational Resources Information Center
Poncy, Brian C.; Skinner, Christopher H.; Axtell, Philip K.
2010-01-01
A multiple-probe-across-problem-sets (tasks) design was used to evaluate the effects of the Detect, Practice, and Repair (DPR) on multiplication-fact fluency development in seven third-grade students nominated by their teacher as needing remediation. DPR is a multicomponent intervention and begins with a group-administered, metronome-paced…
Kanyangarara, Mufaro; Walker, Neff; Boerma, Ties
2018-01-01
Syphilis in pregnancy is an under-recognized public health problem, especially in sub-Saharan Africa which accounts for over 60% of the global burden of syphilis. If left untreated, more than half of maternal syphilis cases will result in adverse pregnancy outcomes including stillbirth and fetal loss, neonatal death, prematurity or low birth weight, and neonatal infections. Achieving universal coverage of antenatal syphilis screening and treatment has been the focus of the global campaign for the elimination of mother-to-child transmission of syphilis. However, little is known about the availability of antenatal syphilis screening and treatment across sub-Saharan Africa. The objective of this study was to estimate the 'likelihood of appropriate care' for antenatal syphilis screening and treatment by analyzing health facility surveys and household surveys conducted from 2010 to 2015 in 12 sub-Saharan African countries. In this secondary data analysis, we linked indicators of health facility readiness to provide antenatal syphilis detection and treatment from Service Provision Assessments (SPAs) and Service Availability and Readiness Assessments (SARAs) to indicators of ANC use from the Demographic and Health Surveys (DHS) to compute estimates of the 'likelihood of appropriate care'. Based on data from 5,593 health facilities that reported offering antenatal care (ANC) services, the availability of syphilis detection and treatment in ANC facilities ranged from 2% to 83%. The availability of syphilis detection and treatment was substantially lower in ANC facilities in West Africa compared to the other sub-regions. Levels of ANC attendance were high (median 94.9%), but only 27% of ANC attendees initiated care at less than 4 months gestation. We estimated that about one in twelve pregnant women received ANC early (<4 months) at a facility ready to provide syphilis detection and treatment (median 8%, range 7-32%). The largest implementation bottleneck identified was low
Research and implementation of group animation based on normal cloud model
NASA Astrophysics Data System (ADS)
Li, Min; Wei, Bin; Peng, Bao
2011-12-01
Group Animation is a difficult technology problem which always has not been solved in computer Animation technology, All current methods have their limitations. This paper put forward a method: the Motion Coordinate and Motion Speed of true fish group was collected as sample data, reverse cloud generator was designed and run, expectation, entropy and super entropy are gotten. Which are quantitative value of qualitative concept. These parameters are used as basis, forward cloud generator was designed and run, Motion Coordinate and Motion Speed of two-dimensional fish group animation are produced, And two spirit state variable about fish group : the feeling of hunger, the feeling of fear are designed. Experiment is used to simulated the motion state of fish Group Animation which is affected by internal cause and external cause above, The experiment shows that the Group Animation which is designed by this method has strong Realistic.
Serra-Casas, Elisa; Manrique, Paulo; Ding, Xavier C.; Carrasco-Escobar, Gabriel; Alava, Freddy; Gave, Anthony; Rodriguez, Hugo; Contreras-Mancilla, Juan; Rosas-Aguirre, Angel; Speybroeck, Niko; González, Iveth J.
2017-01-01
Background Loop-mediated isothermal DNA amplification (LAMP) methodology offers an opportunity for point-of-care (POC) molecular detection of asymptomatic malaria infections. However, there is still little evidence on the feasibility of implementing this technique for population screenings in isolated field settings. Methods Overall, we recruited 1167 individuals from terrestrial (‘road’) and hydric (‘riverine’) communities of the Peruvian Amazon for a cross-sectional survey to detect asymptomatic malaria infections. The technical performance of LAMP was evaluated in a subgroup of 503 samples, using real-time Polymerase Chain Reaction (qPCR) as reference standard. The operational feasibility of introducing LAMP testing in the mobile screening campaigns was assessed based on field-suitability parameters, along with a pilot POC-LAMP assay in a riverine community without laboratory infrastructure. Results LAMP had a sensitivity of 91.8% (87.7–94.9) and specificity of 91.9% (87.8–95.0), and the overall accuracy was significantly better among samples collected during road screenings than riverine communities (p≤0.004). LAMP-based diagnostic strategy was successfully implemented within the field-team logistics and the POC-LAMP pilot in the riverine community allowed for a reduction in the turnaround time for case management, from 12–24 hours to less than 5 hours. Specimens with haemolytic appearance were regularly observed in riverine screenings and could help explaining the hindered performance/interpretation of the LAMP reaction in these communities. Conclusions LAMP-based molecular malaria diagnosis can be deployed outside of reference laboratories, providing similar performance as qPCR. However, scale-up in remote field settings such as riverine communities needs to consider a number of logistical challenges (e.g. environmental conditions, labour-intensiveness in large population screenings) that can influence its optimal implementation. PMID:28982155
El Aila, Nabil A; Tency, Inge; Claeys, Geert; Saerens, Bart; Cools, Piet; Verstraelen, Hans; Temmerman, Marleen; Verhelst, Rita; Vaneechoutte, Mario
2010-09-29
Streptococcus agalactiae (group B streptococcus; GBS) is a significant cause of perinatal and neonatal infections worldwide. To detect GBS colonization in pregnant women, the CDC recommends isolation of the bacterium from vaginal and anorectal swab samples by growth in a selective enrichment medium, such as Lim broth (Todd-Hewitt broth supplemented with selective antibiotics), followed by subculture on sheep blood agar. However, this procedure may require 48 h to complete. We compared different sampling and culture techniques for the detection of GBS. A total of 300 swabs was taken from 100 pregnant women at 35-37 weeks of gestation. For each subject, one rectovaginal, one vaginal and one rectal ESwab were collected. Plating onto Columbia CNA agar (CNA), group B streptococcus differential agar (GBSDA) (Granada Medium) and chromID Strepto B agar (CA), with and without Lim broth enrichment, were compared. The isolates were confirmed as S. agalactiae using the CAMP test on blood agar and by molecular identification with tDNA-PCR or by 16S rRNA gene sequence determination. The overall GBS colonization rate was 22%. GBS positivity for rectovaginal sampling (100%) was significantly higher than detection on the basis of vaginal sampling (50%), but not significantly higher than for rectal sampling (82%). Direct plating of the rectovaginal swab on CNA, GBSDA and CA resulted in detection of 59, 91 and 95% of the carriers, respectively, whereas subculturing of Lim broth yielded 77, 95 and 100% positivity, respectively. Lim broth enrichment enabled the detection of only one additional GBS positive subject. There was no significant difference between GBSDA and CA, whereas both were more sensitive than CNA. Direct culture onto GBSDA or CA (91 and 95%) detected more carriers than Lim broth enrichment and subculture onto CNA (77%). One false negative isolate was observed on GBSDA, and three false positives on CA. In conclusion, rectovaginal sampling increased the number GBS
A dual-processor multi-frequency implementation of the FINDS algorithm
NASA Technical Reports Server (NTRS)
Godiwala, Pankaj M.; Caglayan, Alper K.
1987-01-01
This report presents a parallel processing implementation of the FINDS (Fault Inferring Nonlinear Detection System) algorithm on a dual processor configured target flight computer. First, a filter initialization scheme is presented which allows the no-fail filter (NFF) states to be initialized using the first iteration of the flight data. A modified failure isolation strategy, compatible with the new failure detection strategy reported earlier, is discussed and the performance of the new FDI algorithm is analyzed using flight recorded data from the NASA ATOPS B-737 aircraft in a Microwave Landing System (MLS) environment. The results show that low level MLS, IMU, and IAS sensor failures are detected and isolated instantaneously, while accelerometer and rate gyro failures continue to take comparatively longer to detect and isolate. The parallel implementation is accomplished by partitioning the FINDS algorithm into two parts: one based on the translational dynamics and the other based on the rotational kinematics. Finally, a multi-rate implementation of the algorithm is presented yielding significantly low execution times with acceptable estimation and FDI performance.
Balanced detection for self-mixing interferometry.
Li, Kun; Cavedo, Federico; Pesatori, Alessandro; Zhao, Changming; Norgia, Michele
2017-01-15
We propose a new detection scheme for self-mixing interferometry using two photodiodes for implementing a differential acquisition. The method is based on the phase opposition of the self-mixing signal measured between the two laser diode facet outputs. The subtraction of the two outputs implements a sort of balanced detection that improves the signal quality, and allows canceling of unwanted signals due to laser modulation and disturbances on laser supply and transimpedance amplifier. Experimental results demonstrate the benefits of differential acquisition in a system for both absolute distance and displacement-vibration measurement. This Letter provides guidance for the design of self-mixing interferometers using balanced detection.
ERIC Educational Resources Information Center
Söderhjelm, Teresa; Björklund, Christina; Sandahl, Christer; Bolander-Laksov, Klara
2018-01-01
Demands on academic leadership are increasing, which raises the need for leadership training. This article describes development and implementation of a group training intervention in academic leadership at a departmental level. Little systematic research has addressed the question of what forms of leadership training are associated with…
Bester, Rachelle; Jooste, Anna E C; Maree, Hans J; Burger, Johan T
2012-09-27
Grapevine leafroll-associated virus 3 (GLRaV-3) is the main contributing agent of leafroll disease worldwide. Four of the six GLRaV-3 variant groups known have been found in South Africa, but their individual contribution to leafroll disease is unknown. In order to study the pathogenesis of leafroll disease, a sensitive and accurate diagnostic assay is required that can detect different variant groups of GLRaV-3. In this study, a one-step real-time RT-PCR, followed by high-resolution melting (HRM) curve analysis for the simultaneous detection and identification of GLRaV-3 variants of groups I, II, III and VI, was developed. A melting point confidence interval for each variant group was calculated to include at least 90% of all melting points observed. A multiplex RT-PCR protocol was developed to these four variant groups in order to assess the efficacy of the real-time RT-PCR HRM assay. A universal primer set for GLRaV-3 targeting the heat shock protein 70 homologue (Hsp70h) gene of GLRaV-3 was designed that is able to detect GLRaV-3 variant groups I, II, III and VI and differentiate between them with high-resolution melting curve analysis. The real-time RT-PCR HRM and the multiplex RT-PCR were optimized using 121 GLRaV-3 positive samples. Due to a considerable variation in melting profile observed within each GLRaV-3 group, a confidence interval of above 90% was calculated for each variant group, based on the range and distribution of melting points. The intervals of groups I and II could not be distinguished and a 95% joint confidence interval was calculated for simultaneous detection of group I and II variants. An additional primer pair targeting GLRaV-3 ORF1a was developed that can be used in a subsequent real-time RT-PCR HRM to differentiate between variants of groups I and II. Additionally, the multiplex RT-PCR successfully validated 94.64% of the infections detected with the real-time RT-PCR HRM. The real-time RT-PCR HRM provides a sensitive, automated and
Liu, Dingbin; Qu, Weisi; Chen, Wenwen; Zhang, Wei; Wang, Zhuo; Jiang, Xingyu
2010-12-01
We provide a highly sensitive and selective assay to detect Hg(2+) in aqueous solutions using gold nanoparticles modified with quaternary ammonium group-terminated thiols at room temperature. The mechanism is the abstraction of thiols by Hg(2+) that led to the aggregation of nanoparticles. With the assistance of solar light irradiation, the detection limit can be as low as 30 nM, which satisfies the guideline concentration of Hg(2+) in drinking water set by the WHO. In addition, the dynamic range of detection is wide (3 × 10(-8)-1 × 10(-2) M). This range, to our best knowledge, is the widest one that has been reported so far in gold nanoparticle (AuNP)-based assays for Hg(2+).
[Systematization of nursing assistance: subsidies for implementation].
Hermida, Patrícia Madalena Vieira; Araújo, Izilda Esmênia Muglia
2006-01-01
This study reviews national literature about the Systematization of Nursing Assistance in order to detect and reflect on the phases of its implementation. An electronic search of the data bases at LILACS, MEDLINE and BDENF revealed 61 published studies on this subject in nursing journals. This present study focuses on negative experiences regarding its implementation and presents a strategy for its successful implementation. The plan was observed to have various phases, but it was observed that the institution's structure, facilities and demands had to be first studied. It was concluded that the process for its implementation would be complex and difficult, but could contribute towards improving the quality of nursing care.
Fløde, Mari; Iversen, Marjolein M; Aarflot, Morten; Haltbakk, Johannes
2017-12-01
Research interventions in uniform clinical settings and in patients fulfilling well-defined inclusion criteria might show a more pronounced effect than implementing the same intervention in existing practice. Diabetes Self-Management Education (DSME) is complex, and should be assessed in existing practice as it is an intervention widely implemented. To examine the impact of an established group-based DSME in unselected people with type 2 diabetes referred from primary care. A one-group, before-after design was used for assessments before, immediately after, and 3 months after participation in a group-based DSME programme conducted at two Learning and Mastering Centres in Norway between November 2013 and June 2014. Participants completed a questionnaire before (n = 115), immediately after (n = 95) and 3 months after (n = 42) the DSME programme. Primary outcome measure was diabetes knowledge (Michigan Diabetes Knowledge Test). Also patient activation (Patient Activation Measure [PAM]) and self-efficacy (General Self-Efficacy scale [GSE]) were measured. Changes in outcome measures were analysed using paired t-tests for normally distributed data and Wilcoxon signed-rank test for skewed data. Mean knowledge improved significantly from baseline (p < 0.001). Changes persisted at the 3-month assessment. Mean PAM scores improved significantly from baseline (p < 0.001), and changes persisted for 3 months. Mean GSE scores improved from baseline (p = 0.022) and persisted for 3 months. However, when results were stratified for participants who responded at all three time points, GSE showed no change during the study period. The complexity self-management in the individual is challenging to reflect in DSME. This implemented DSME programme for people with type 2 diabetes improved levels of diabetes knowledge and patient activation, persisting for at least 3 months. Hence, the DSME programme appears to be robust beyond standardised research settings, in educating unselected
Pulse-coupled neural network implementation in FPGA
NASA Astrophysics Data System (ADS)
Waldemark, Joakim T. A.; Lindblad, Thomas; Lindsey, Clark S.; Waldemark, Karina E.; Oberg, Johnny; Millberg, Mikael
1998-03-01
Pulse Coupled Neural Networks (PCNN) are biologically inspired neural networks, mainly based on studies of the visual cortex of small mammals. The PCNN is very well suited as a pre- processor for image processing, particularly in connection with object isolation, edge detection and segmentation. Several implementations of PCNN on von Neumann computers, as well as on special parallel processing hardware devices (e.g. SIMD), exist. However, these implementations are not as flexible as required for many applications. Here we present an implementation in Field Programmable Gate Arrays (FPGA) together with a performance analysis. The FPGA hardware implementation may be considered a platform for further, extended implementations and easily expanded into various applications. The latter may include advanced on-line image analysis with close to real-time performance.
Memon, Atta Muhammad; Bhuyan, Anjuman Ara; Chen, Fangzhou; Guo, Xiaozhen; Menghwar, Harish; Zhu, Yinxing; Ku, Xugang; Chen, Shuhua; Li, Zhonghua; He, Qigai
2017-05-01
Porcine rotavirus-A (PoRVA) is one of the common causes of mild to severe dehydrating diarrhea, leading to losses in weaning and postweaning piglets. A rapid, highly specific, and sensitive antigen-capture enzyme-linked immunosorbent assay (AC-ELISA) was developed for detection of PoRVA, by using VP6 (a highly conserved and antigenic protein of group-A rotavirus)-directed rabbit polyclonal antibodies (capture antibody) and murine monoclonal antibodies (detector antibody). The detection limit of AC-ELISA was found to be equal to that of conventional reverse transcription-polymerase chain reaction (RT-PCR; about 10 2.5 TCID 50 /mL). For validation of the in-house AC-ELISA, 295 porcine fecal/diarrhea samples, collected from different provinces of China, were evaluated and compared with conventional RT-PCR and TaqMan RT-quantitative PCR (qPCR). The sensitivity and specificity of this in-house AC-ELISA relative to RT-qPCR were found to be 91.67% and 100%, respectively, with the strong agreement (kappa = 0.972) between these two techniques. Total detection rate with AC-ELISA, conventional RT-PCR, and RT-qPCR were found to be 11.2%, 11.5%, and 12.2%, respectively, without any statistical significant difference. Moreover, AC-ELISA failed to detect any cross-reactivity with porcine epidemic diarrhea virus, transmissible gastroenteritis virus, pseudorabies virus, and porcine circovirus-2. These results suggested that our developed method was rapid, highly specific, and sensitive, which may help in large-scale surveillance, timely detection, and preventive control of rotavirus infection in porcine farms.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Solaimani, Mohiuddin; Iftekhar, Mohammed; Khan, Latifur
Anomaly detection refers to the identi cation of an irregular or unusual pat- tern which deviates from what is standard, normal, or expected. Such deviated patterns typically correspond to samples of interest and are assigned different labels in different domains, such as outliers, anomalies, exceptions, or malware. Detecting anomalies in fast, voluminous streams of data is a formidable chal- lenge. This paper presents a novel, generic, real-time distributed anomaly detection framework for heterogeneous streaming data where anomalies appear as a group. We have developed a distributed statistical approach to build a model and later use it to detect anomaly. Asmore » a case study, we investigate group anomaly de- tection for a VMware-based cloud data center, which maintains a large number of virtual machines (VMs). We have built our framework using Apache Spark to get higher throughput and lower data processing time on streaming data. We have developed a window-based statistical anomaly detection technique to detect anomalies that appear sporadically. We then relaxed this constraint with higher accuracy by implementing a cluster-based technique to detect sporadic and continuous anomalies. We conclude that our cluster-based technique out- performs other statistical techniques with higher accuracy and lower processing time.« less
Detecting higher-order interactions among the spiking events in a group of neurons.
Martignon, L; Von Hasseln, H; Grün, S; Aertsen, A; Palm, G
1995-06-01
We propose a formal framework for the description of interactions among groups of neurons. This framework is not restricted to the common case of pair interactions, but also incorporates higher-order interactions, which cannot be reduced to lower-order ones. We derive quantitative measures to detect the presence of such interactions in experimental data, by statistical analysis of the frequency distribution of higher-order correlations in multiple neuron spike train data. Our first step is to represent a frequency distribution as a Markov field on the minimal graph it induces. We then show the invariance of this graph with regard to changes of state. Clearly, only linear Markov fields can be adequately represented by graphs. Higher-order interdependencies, which are reflected by the energy expansion of the distribution, require more complex graphical schemes, like constellations or assembly diagrams, which we introduce and discuss. The coefficients of the energy expansion not only point to the interactions among neurons but are also a measure of their strength. We investigate the statistical meaning of detected interactions in an information theoretic sense and propose minimum relative entropy approximations as null hypotheses for significance tests. We demonstrate the various steps of our method in the situation of an empirical frequency distribution on six neurons, extracted from data on simultaneous multineuron recordings from the frontal cortex of a behaving monkey and close with a brief outlook on future work.
The influence of professional values on the implementation of Aboriginal health policy.
Lloyd, Jane; Wise, Marilyn; Weeramanthri, Tarun; Nugus, Peter
2009-01-01
This article explores the role of professional values and the culture of the Australian health care system in facilitating and constraining the implementation of an Aboriginal health policy. Thirty-five semi-structured in-depth interviews were conducted in a case study on the implementation of the Northern Territory Preventable Chronic Disease Strategy (PCDS). PCDS included three major evidence-based components - primary prevention, early detection and better management. The research revealed that PCDS changed as it was implemented. The values of the medical and nursing professions favoured the implementation of the clinically-based component of PCDS - better management. But there was dissonance between the values of these dominant professional groups and the values and expertise in public health that were necessary to implement fully the primary prevention component of PCDS. While Aboriginal health workers have valuable knowledge and skills in this area, they were not accorded sufficient power and training to influence decision-making on priorities and resources, and were able to exercise only limited influence on the components of the PCDS that were implemented. The findings highlight the role that a myriad of values play in influencing which aspects of a policy are implemented by organizations and their agents. Comprehensive and equitable implementation of policy requires an investigation and awareness of different professional values, and an examination of whose voices will be privileged in the decision-making process. If the advances in developing evidence-based, culturally-appropriate and inclusive policy are to be translated into practice, then care needs to be taken to monitor and influence whose values are being included at what point in the policy implementation process.
ERIC Educational Resources Information Center
Walker, Karen
2010-01-01
According to Johnson and Johnson, group work helps increase student retention and satisfaction, develops strong oral communication and social skills, as well as higher self-esteem (University of Minnesota, n.d.). Group work, when planned and implemented deliberately and thoughtfully helps students develop cognitive and leadership skills as well as…
NASA Astrophysics Data System (ADS)
Yussup, N.; Ibrahim, M. M.; Lombigit, L.; Rahman, N. A. A.; Zin, M. R. M.
2014-02-01
Typically a system consists of hardware as the controller and software which is installed in the personal computer (PC). In the effective nuclear detection, the hardware involves the detection setup and the electronics used, with the software consisting of analysis tools and graphical display on PC. A data acquisition interface is necessary to enable the communication between the controller hardware and PC. Nowadays, Universal Serial Bus (USB) has become a standard connection method for computer peripherals and has replaced many varieties of serial and parallel ports. However the implementation of USB is complex. This paper describes the implementation of data acquisition interface between a field-programmable gate array (FPGA) board and a PC by exploiting the USB link of the FPGA board. The USB link is based on an FTDI chip which allows direct access of input and output to the Joint Test Action Group (JTAG) signals from a USB host and a complex programmable logic device (CPLD) with a 24 MHz clock input to the USB link. The implementation and results of using the USB link of FPGA board as the data interfacing are discussed.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Yussup, N.; Ibrahim, M. M.; Lombigit, L.
Typically a system consists of hardware as the controller and software which is installed in the personal computer (PC). In the effective nuclear detection, the hardware involves the detection setup and the electronics used, with the software consisting of analysis tools and graphical display on PC. A data acquisition interface is necessary to enable the communication between the controller hardware and PC. Nowadays, Universal Serial Bus (USB) has become a standard connection method for computer peripherals and has replaced many varieties of serial and parallel ports. However the implementation of USB is complex. This paper describes the implementation of datamore » acquisition interface between a field-programmable gate array (FPGA) board and a PC by exploiting the USB link of the FPGA board. The USB link is based on an FTDI chip which allows direct access of input and output to the Joint Test Action Group (JTAG) signals from a USB host and a complex programmable logic device (CPLD) with a 24 MHz clock input to the USB link. The implementation and results of using the USB link of FPGA board as the data interfacing are discussed.« less
Ehrhart, Mark G; Aarons, Gregory A; Farahnak, Lauren R
2014-10-23
Although the importance of the organizational environment for implementing evidence-based practices (EBP) has been widely recognized, there are limited options for measuring implementation climate in public sector health settings. The goal of this research was to develop and test a measure of EBP implementation climate that would both capture a broad range of issues important for effective EBP implementation and be of practical use to researchers and managers seeking to understand and improve the implementation of EBPs. Participants were 630 clinicians working in 128 work groups in 32 US-based mental health agencies. Items to measure climate for EBP implementation were developed based on past literature on implementation climate and other strategic climates and in consultation with experts on the implementation of EBPs in mental health settings. The sample was randomly split at the work group level of analysis; half of the sample was used for exploratory factor analysis (EFA), and the other half was used for confirmatory factor analysis (CFA). The entire sample was utilized for additional analyses assessing the reliability, support for level of aggregation, and construct-based evidence of validity. The EFA resulted in a final factor structure of six dimensions for the Implementation Climate Scale (ICS): 1) focus on EBP, 2) educational support for EBP, 3) recognition for EBP, 4) rewards for EBP, 5) selection for EBP, and 6) selection for openness. This structure was supported in the other half of the sample using CFA. Additional analyses supported the reliability and construct-based evidence of validity for the ICS, as well as the aggregation of the measure to the work group level. The ICS is a very brief (18 item) and pragmatic measure of a strategic climate for EBP implementation. It captures six dimensions of the organizational context that indicate to employees the extent to which their organization prioritizes and values the successful implementation of EBPs
Framework for Flexible Security in Group Communications
NASA Technical Reports Server (NTRS)
McDaniel, Patrick; Prakash, Atul
2006-01-01
The Antigone software system defines a framework for the flexible definition and implementation of security policies in group communication systems. Antigone does not dictate the available security policies, but provides high-level mechanisms for implementing them. A central element of the Antigone architecture is a suite of such mechanisms comprising micro-protocols that provide the basic services needed by secure groups.
Osorio-Cuellar, Gisel Viviana; Pacichana-Quinayáz, Sara Gabriela; Bonilla-Escobar, Francisco Javier; Fandiño-Losada, Andrés; Gutiérrez-Martinez, Maria Isabel
2017-09-01
Given the context and the number of armed conflict victims in the Colombian Pacific coast and their difficulties to access psycho-social care, Narrative Community-based Group Therapy appears as a viable mental health intervention. The objective of this study is to describe the process of implementation and results of the intervention in Afro-Colombian victims of violence, in the municipalities of Buenaventura and Quibdó. More specifically, we will be looking at the perspectives of workers and supervisors, through evaluative case studies and individual in-depth interviews. The therapy allows us to identify support and coping systems through coexistence, communication and interaction. It requires an adaptation process to the diversity of knowledge and expressions of victims of Colombian violence, greater empathy from care providers and rigor in their profiles selection, facilities ensuring security and confidentiality, and links with other educational, employment and recreational organizations. It is important to include these results while improving current and future intervention processes.
Montague, Naomi S; Cleary, Timothy J; Martinez, Octavio V; Procop, Gary W
2008-10-01
The sensitivity, specificity, and positive and negative predictive values for the detection of group B streptococci from Lim enrichment broth with sheep blood agar (SBA), with selective Streptococcus agar (SSA), and by a peptide nucleic acid fluorescent in situ hybridization (PNA FISH) assay were as follows: for culture on SBA, 68.4%, 100%, 100%, and 87.9%, respectively; for culture on SSA, 85.5%, 100%, 100%, and 94.1%, respectively; and for the PNA FISH assay, 97.4%, 98.3%, 96.1%, and 98.9%, respectively.
Implementing Classification on a Munitions Response Project
2011-12-01
Detection Dig List IVS/Seed Site Planning Decisions Dig All Anomalies Site Characterization Implementing Classification on a Munitions Response...Details ● Seed emplacement ● EM61-MK2 detection survey RTK GPS ● Select anomalies for further investigation ● Collect cued data using MetalMapper...5.2 mV in channel 2 938 anomalies selected ● All QC seeds detected using this threshold Some just inside the 60-cm halo ● IVS reproducibility
Implementing and testing a fiber-optic polarization-based intrusion detection system
NASA Astrophysics Data System (ADS)
Hajj, Rasha El; MacDonald, Gregory; Verma, Pramode; Huck, Robert
2015-09-01
We describe a layer-1-based intrusion detection system for fiber-optic-based networks. Layer-1-based intrusion detection represents a significant elevation in security as it prohibits an adversary from obtaining information in the first place (no cryptanalysis is possible). We describe the experimental setup of the intrusion detection system, which is based on monitoring the behavior of certain attributes of light both in unperturbed and perturbed optical fiber links. The system was tested with optical fiber links of various lengths and types, under different environmental conditions, and under changes in fiber geometry similar to what is experienced during tapping activity. Comparison of the results for perturbed and unperturbed links has shown that the state of polarization is more sensitive to intrusion activity than the degree of polarization or power of the received light. The testing was conducted in a simulated telecommunication network environment that included both underground and aerial links. The links were monitored for intrusion activity. Attempts to tap the link were easily detected with no apparent degradation in the visual quality of the real-time surveillance video.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sherr, C.J.; Todaro, G.J.
1974-09-01
The major group specific (gs) protein of the endogenous baboon type C virus M7 was purified to homogeneity by gel filtration and isoelectric focusing. The protein has a molecular weight of approximately 33,000, as determined by electrophoresis in polyacrylamide gels containing sodium dodecyl sulfate, and an isoelectric point (pl) of 7.1, different from the pls of similarly purified gs proteins from six other mammalian type C viruses. Detergent disrupted M7 virus, whether grown in canine thymus or human rhabdomyosarcoma cells, fully displaced radiolabeled M7 gs protein from antigen-antibody complexes in a competitive radioimmunoassay. No antigenic differences were detected among themore » gs proteins of five independent isolates of baboon type C viruses grown in various cultured cell lines. The gs proteins of six independently isolated feline viruses of the RD-114/CCC group were antigenically related to, but could be distinguished from, the gs proteins of baboon type C viruses. No significant cross-reactions were observed in the radioimmunoassay for M7 gs protein using several other type C viruses, including two previously isolated from a woolly monkey and a gibbon ape. Group specific antigen was found in normal baboon testicular and splenic tissues using the M7 radioimmunoassay; no gs antigen could be detected in these same tissues using a radioimmunoassay for the gs protein of the woolly monkey type C virus. No gs antigen was found in baboon liver or in the tissues of several other primates. (auth)« less
Zbroch, Tomasz; Knapp, Paweł Grzegorz; Knapp, Piotr Andrzej
2007-09-01
Increasing knowledge concerning carcinogenesis within cervical epithelium has forced us to make continues modifications of cytology classification of the cervical smears. Eventually, new descriptions of the submicroscopic cytomorphological abnormalities have enabled the implementation of Bethesda System which was meant to take place of the former Papanicolaou classification although temporarily both are sometimes used simultaneously. The aim of this study was to compare results of these two classification systems in the aspect of diagnostic accuracy verified by further tests of the diagnostic algorithm for the cervical lesion evaluation. The study was conducted in the group of women selected from general population, the criteria being the place of living and cervical cancer age risk group, in the consecutive periods of mass screening in Podlaski region. The performed diagnostic tests have been based on the commonly used algorithm, as well as identical laboratory and methodological conditions. Performed assessment revealed comparable diagnostic accuracy of both analyzing classifications, verified by histological examination, although with marked higher specificity for dysplastic lesions with decreased number of HSIL results and increased diagnosis of LSILs. Higher number of performed colposcopies and biopsies were an additional consequence of TBS classification. Results based on Bethesda System made it possible to find the sources and reasons of abnormalities with much greater precision, which enabled causing agent treatment. Two evaluated cytology classification systems, although not much different, depicted higher potential of TBS and better, more effective communication between cytology laboratory and gynecologist, making reasonable implementation of The Bethesda System in the daily cytology screening work.
High-definition colonoscopy increases adenoma detection rate.
Jrebi, Nezar Y; Hefty, Matthew; Jalouta, Tarek; Ogilvie, James; Davis, Alan T; Asgeirsson, Theodor; Luchtefeld, Martin
2017-01-01
The adenoma detection rate (ADR) is a quality indicator for colonoscopy. High-definition (HD) imaging has been reported to increase polyp detection rates. The primary objective of this study was to compare polyp detection rate (PDR) and adenoma detection rate (ADR) before and after the implementation of HD colonoscopy. A retrospective chart review was performed on patients aged 48-55 years old, who underwent first-time screening colonoscopy. The first group underwent standard-definition (SD) colonoscopy in the first 6 months of 2011. The second group underwent screening with HD colonoscopy during the first 6 months of 2012. We compared age, gender, PDR, ADR, and average sizes of adenomatous polyps between gastroenterologist and colorectal surgeon and among physicians themselves. Statistical analysis was performed with Fischer's exact test and Pearson Chi-square. A total of 1268 patients were involved in the study (634 in each group). PDR (35.6 vs. 48.2 %, p < 0.001) and ADR (22.2 vs. 30.4 %, p = 0.02) were higher in the HD group. The average size of an adenomatous polyp was the same in the two groups (0.58 vs. 0.57, p = 0.69). However, this difference was not seen among colorectal surgeons PDR (35.7 vs. 37 %, p = 0.789), ADR (22.9 vs. 24.5 % p = 0.513), but clearly seen among gastroenterologist, PDR (35.6 vs. 53.1 % p < 0.001) and ADR (21.9 vs. 32.9 % p < 0.001). When polyps were categorized into size groups, there was no difference in ADR between the two timeframes (<5 mm in size (41.5 vs. 35.4 %), 5-10 mm (49.3 vs. 60.1 %) and >10 mm (9.2 vs. 4.5 %), p = 0.07). Polyps were most commonly seen in the sigmoid colon (26.1 vs. 24.7 %). There was no difference in the rate of synchronous polyp detection between modalities (25.6 vs. 29 %, p = 0.51). Withdrawal time was the same in both procedure (9.2 vs. 8.5 min, p = 0.10). Screening colonoscopy with high-definition technology significantly improved both PDR and ADR. In addition
Zheng, Xiaowen; Liu, Gaopeng; Opriessnig, Tanja; Wang, Zining; Yang, Zongqi; Jiang, Yonghou
2016-10-01
Porcine bocavirus (PBoV), a newly described porcine parvovirus, has received attention because it can be commonly identified in clinically affected pigs including pigs with post-weaning multisystemic wasting syndrome (PWMS) and pigs with diarrhea. In recent years, novel PBoVs have been identified and were classified into three genogroups, but the ability to detect and classify these novel PBoVs is not comprehensive to date. In this study, a multiplex conventional PCR assay for simultaneous detection and grouping of PBoVs was developed by screening combinations of mixed primer pairs followed by optimization of the PCR conditions. This method exclusively amplifies targeted fragments of 531bp from the VP1 gene of PBoV G1, 291bp from the NP1 gene of PBoV G2, and 384bp from the NP1/VP1 gene of PBoV G3. The assay has a detection limit of 1.0×10(3)copies/μL for PBoV G1 4.5×10(3) for PBoV G2 and 3.8×10(3) for PBoV G3 based on testing mixed purified plasmid constructs containing the specific viral target fragments. The performance of the multiplex PCR assay was comparable to that of the single PCRs which used the same primer pairs. Using the newly established multiplex PCR assay, 227 field samples including faeces, serum and tissue samples from pigs were investigated. All three PBoV genogroups were detected in the clinical samples with a detection rate of 1.3%, 2.6% and 12.3%, respectively for PBoV G1, G2 and G3. Additionally, coinfections with two or more PBoV were detected in 1.7% of the samples investigated. These results indicate the multiplex PCR assay is specific, sensitive and rapid, and can be used for the detection and differentiation of single and multiple infections of the three PBoV genogroups in pigs. Copyright © 2016 Elsevier B.V. All rights reserved.
An FPGA-Based People Detection System
NASA Astrophysics Data System (ADS)
Nair, Vinod; Laprise, Pierre-Olivier; Clark, James J.
2005-12-01
This paper presents an FPGA-based system for detecting people from video. The system is designed to use JPEG-compressed frames from a network camera. Unlike previous approaches that use techniques such as background subtraction and motion detection, we use a machine-learning-based approach to train an accurate detector. We address the hardware design challenges involved in implementing such a detector, along with JPEG decompression, on an FPGA. We also present an algorithm that efficiently combines JPEG decompression with the detection process. This algorithm carries out the inverse DCT step of JPEG decompression only partially. Therefore, it is computationally more efficient and simpler to implement, and it takes up less space on the chip than the full inverse DCT algorithm. The system is demonstrated on an automated video surveillance application and the performance of both hardware and software implementations is analyzed. The results show that the system can detect people accurately at a rate of about[InlineEquation not available: see fulltext.] frames per second on a Virtex-II 2V1000 using a MicroBlaze processor running at[InlineEquation not available: see fulltext.], communicating with dedicated hardware over FSL links.
Ship detection in panchromatic images: a new method and its DSP implementation
NASA Astrophysics Data System (ADS)
Yao, Yuan; Jiang, Zhiguo; Zhang, Haopeng; Wang, Mengfei; Meng, Gang
2016-03-01
In this paper, a new ship detection method is proposed after analyzing the characteristics of panchromatic remote sensing images and ship targets. Firstly, AdaBoost(Adaptive Boosting) classifiers trained by Haar features are utilized to make coarse detection of ship targets. Then LSD (Line Segment Detector) is adopted to extract the line features in target slices to make fine detection. Experimental results on a dataset of panchromatic remote sensing images with a spatial resolution of 2m show that the proposed algorithm can achieve high detection rate and low false alarm rate. Meanwhile, the algorithm can meet the needs of practical applications on DSP (Digital Signal Processor).
SVM classifier on chip for melanoma detection.
Afifi, Shereen; GholamHosseini, Hamid; Sinha, Roopak
2017-07-01
Support Vector Machine (SVM) is a common classifier used for efficient classification with high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical images within computer-aided diagnosis systems used by skin cancer specialists to detect melanoma early and save lives. We aim to develop a medical low-cost handheld device that runs a real-time embedded SVM-based diagnosis system for use in primary care for early detection of melanoma. In this paper, an optimized SVM classifier is implemented onto a recent FPGA platform using the latest design methodology to be embedded into the proposed device for realizing online efficient melanoma detection on a single system on chip/device. The hardware implementation results demonstrate a high classification accuracy of 97.9% and a significant acceleration factor of 26 from equivalent software implementation on an embedded processor, with 34% of resources utilization and 2 watts for power consumption. Consequently, the implemented system meets crucial embedded systems constraints of high performance and low cost, resources utilization and power consumption, while achieving high classification accuracy.
Stillman, Jennifer A; Fletcher, Richard B; Carr, Stuart C
2007-04-01
Research on groups is often applied to sport teams, and research on teams is often applied to groups. This study investigates the extent to which individuals have distinct schemas for groups and teams. A list of team and group characteristics was generated from 250 individuals, for use in this and related research. Questions about teams versus groups carry an a priori implication that differences exist; therefore, list items were presented to new participants and were analyzed using signal detection theory, which can accommodate a finding of no detectable difference between a nominated category and similar items. Participants were 30 members from each of the following: netball teams, the general public, and hobby groups. Analysis revealed few features that set groups apart from teams; however, teams were perceived as more structured and demanding, requiring commitment and effort toward shared goals. Team and group characteristics were more clearly defined to team members than they were to other participant groups. The research has implications for coaches and practitioners.
NASA Technical Reports Server (NTRS)
1983-01-01
Meeting the identified needs of Earth science requires approaching EOS as an information system and not simply as one or more satellites with instruments. Six elements of strategy are outlined as follows: implementation of the individual discipline missions as currently planned; use of sustained observational capabilities offered by operational satellites without waiting for the launch of new mission; put first priority on the data system; deploy an Advanced Data Collection and Location System; put a substantial new observing capability in a low Earth orbit in such a way as to provide for sustained measurements; and group instruments to exploit their capabilities for synergism; maximize the scientific utility of the mission; and minimize the costs of implementation where possible.
Oriented regions grouping based candidate proposal for infrared pedestrian detection
NASA Astrophysics Data System (ADS)
Wang, Jiangtao; Zhang, Jingai; Li, Huaijiang
2018-04-01
Effectively and accurately locating the positions of pedestrian candidates in image is a key task for the infrared pedestrian detection system. In this work, a novel similarity measuring metric is designed. Based on the selective search scheme, the developed similarity measuring metric is utilized to yield the possible locations for pedestrian candidate. Besides this, corresponding diversification strategies are also provided according to the characteristics of the infrared thermal imaging system. Experimental results indicate that the presented scheme can achieve more efficient outputs than the traditional selective search methodology for the infrared pedestrian detection task.
Montague, Naomi S.; Cleary, Timothy J.; Martinez, Octavio V.; Procop, Gary W.
2008-01-01
The sensitivity, specificity, and positive and negative predictive values for the detection of group B streptococci from Lim enrichment broth with sheep blood agar (SBA), with selective Streptococcus agar (SSA), and by a peptide nucleic acid fluorescent in situ hybridization (PNA FISH) assay were as follows: for culture on SBA, 68.4%, 100%, 100%, and 87.9%, respectively; for culture on SSA, 85.5%, 100%, 100%, and 94.1%, respectively; and for the PNA FISH assay, 97.4%, 98.3%, 96.1%, and 98.9%, respectively. PMID:18667597
Schwope, Ora I; Chen, Katherine T; Mehta, Isha; Re, Margaret; Rand, Larry
2010-03-01
The objective of the study was to estimate whether surgical lubricant used during pelvic examination alters the detection of group B Streptococcus (GBS). We conducted a prospective cohort study of patients undergoing GBS screening at the prenatal clinics of a New York City public hospital. Two specimens were collected from each patient, before and after a pelvic examination with Surgilube (Fougera and Co, Melville, NY), a bacteriostatic surgical lubricant. Test performance indices using GBS status pre-pelvic examination as the reference were calculated. Over 10 months, 168 patients were enrolled in the study. Twenty of 168 patients (11.9%; 95% confidence interval, 7.4-17.8%) tested GBS positive before the pelvic examination. Of the initial 20 GBS-positive patients, 10 tested GBS positive after the pelvic examination with surgical lubricant. The sensitivity of detecting GBS after the examination with surgical lubricant was 50%. Because pelvic examination with surgical lubricant may decrease the detection of GBS, obstetric practitioners should collect GBS screening cultures before the use of surgical lubricant. Copyright 2010 Mosby, Inc. All rights reserved.
A Viola-Jones based hybrid face detection framework
NASA Astrophysics Data System (ADS)
Murphy, Thomas M.; Broussard, Randy; Schultz, Robert; Rakvic, Ryan; Ngo, Hau
2013-12-01
Improvements in face detection performance would benefit many applications. The OpenCV library implements a standard solution, the Viola-Jones detector, with a statistically boosted rejection cascade of binary classifiers. Empirical evidence has shown that Viola-Jones underdetects in some instances. This research shows that a truncated cascade augmented by a neural network could recover these undetected faces. A hybrid framework is constructed, with a truncated Viola-Jones cascade followed by an artificial neural network, used to refine the face decision. Optimally, a truncation stage that captured all faces and allowed the neural network to remove the false alarms is selected. A feedforward backpropagation network with one hidden layer is trained to discriminate faces based upon the thresholding (detection) values of intermediate stages of the full rejection cascade. A clustering algorithm is used as a precursor to the neural network, to group significant overlappings. Evaluated on the CMU/VASC Image Database, comparison with an unmodified OpenCV approach shows: (1) a 37% increase in detection rates if constrained by the requirement of no increase in false alarms, (2) a 48% increase in detection rates if some additional false alarms are tolerated, and (3) an 82% reduction in false alarms with no reduction in detection rates. These results demonstrate improved face detection and could address the need for such improvement in various applications.
Perdrix, A; Decrey, H; Pécoud, A; Burnand, B; Yersin, B
1995-09-23
The general practitioner (GP) plays a very important role in early detection of alcoholism. Clinical evaluation is often the only method used, although it has been suggested that any systematic patient history should include the CAGE test. We compare the effectiveness of these two approaches and attempt to determine the applicability of the CAGE test in a general practitioner's usual practice. 12 GPs took part in this study during 6 months. They looked for possible alcohol abuse in each new patient by a standard patient history and clinical examination. Patients were randomized into 2 groups, one of which was given the CAGE test and the other not. For each patient in the CAGE group the applicability of the test was quantified by the GP. 416 patients were included; 214 were randomized into the "CAGE group" and 202 into the control group. On a clinical basis, 15 patients in the control group and 16 in the "CAGE group" (14 men, 2 women) were suspected of alcohol abuse. The CAGE test was positive in 15 patients (7%); among these, 6 were not suspect on a clinical basis. In patients aged 18-34, the detection rate of alcohol-related problems more than doubled when the CAGE test was used. The age of the patients influenced performance of the CAGE test and clinical evaluation. Only 2% of women had a positive CAGE test. Administration of the CAGE test was considered easy in 112 patients and average to difficult in 50, while the test was inapplicable with 52 patients. The latter proportion was higher than that observed in institutions (hospitals, outpatient departments) of the same region. Applicability was influenced neither by the sex nor the age of the patients, but varied greatly according to the physician (from 38% to 100%). The CAGE test increases the number of patients detected with alcohol problems by 37% and seems to be especially useful when administered to young people. The number of women with alcohol problems is probably underestimated by both clinical evaluation
Shrivastava, Manisha; Navaid, Seema; Peethambarakshan, A; Agrawal, Kalpana; Khan, Athar
2015-01-01
Due to lack of correct blood grouping practices, the rare Bombay Oh phenotype may be missed, subjecting patients to the risk of severe hemolytic transfusion reaction. In the absence of blood donor registry, transfusion management of patients needing immediate surgery is a challenge. This study presents detection of rare Bombay Oh phenotype patients and their management by acute peri-operative acute normovolemic hemodilution (ANH) in a hospital from central India. Blood grouping of patients and blood donors with a standard tube method was carried out and samples identified as rare Bombay phenotype were confirmed by saliva inhibition test. Surgical management of cases needing transfusion was done by ANH, as per the British Committee for Standards in Hematology guidelines. The incidence of Bombay phenotype was 0.002% or 1 in 51,924 in the study. Amongst three cases (patients) identified as Bombay phenotype, one was Bombay Oh, Rh negative. Two cases were missed in the first instance and one case actually did not require transfusion. In the absence of a blood donor registry for Bombay phenotype, the cases needing transfusion were successfully managed with ANH in the operation theatre. A simple test like blood grouping should be done with serious intention with incorporation of both forward and reverse grouping, so that no patient receives wrong blood leading to fatal hemolysis due to transfusion. ANH is a cost-effective transfusion option for suitable patients. Appropriate clinical decision making, use of strategies to decrease peri-operative blood losses and cost-effective country based planning could be more widely applied to improve clinical transfusion practice.
Implementing an Integrated Network Defense Construct
2013-06-01
hierarchical structure under the Air Defence of Great Britain initiative ( Checkland and Holwell, 1998). This implementation was the earliest concept...Framework for Detecting and Defending against Insider IT Attacks. Auerbach Publications. 2008. Checkland , Peter and Holwell, Sue. "Information, Systems
Digital receiver study and implementation
NASA Technical Reports Server (NTRS)
Fogle, D. A.; Lee, G. M.; Massey, J. C.
1972-01-01
Computer software was developed which makes it possible to use any general purpose computer with A/D conversion capability as a PSK receiver for low data rate telemetry processing. Carrier tracking, bit synchronization, and matched filter detection are all performed digitally. To aid in the implementation of optimum computer processors, a study of general digital processing techniques was performed which emphasized various techniques for digitizing general analog systems. In particular, the phase-locked loop was extensively analyzed as a typical non-linear communication element. Bayesian estimation techniques for PSK demodulation were studied. A hardware implementation of the digital Costas loop was developed.
Group Projects and Peer Review.
ERIC Educational Resources Information Center
Dyrud, Marilyn A.
2001-01-01
Describes problems the author experienced with disfunctionality in student group projects. Describes how she implemented informal and formal peer reviews throughout the term in these groups, which has helped short-circuit disfunctionality, improve student productivity, and help the instructor form a fairer overall assessment. (SR)
Fall Detection System for the Elderly Based on the Classification of Shimmer Sensor Prototype Data
Ahmed, Moiz; Mehmood, Nadeem; Mehmood, Amir; Rizwan, Kashif
2017-01-01
Objectives Falling in the elderly is considered a major cause of death. In recent years, ambient and wireless sensor platforms have been extensively used in developed countries for the detection of falls in the elderly. However, we believe extra efforts are required to address this issue in developing countries, such as Pakistan, where most deaths due to falls are not even reported. Considering this, in this paper, we propose a fall detection system prototype that s based on the classification on real time shimmer sensor data. Methods We first developed a data set, ‘SMotion’ of certain postures that could lead to falls in the elderly by using a body area network of Shimmer sensors and categorized the items in this data set into age and weight groups. We developed a feature selection and classification system using three classifiers, namely, support vector machine (SVM), K-nearest neighbor (KNN), and neural network (NN). Finally, a prototype was fabricated to generate alerts to caregivers, health experts, or emergency services in case of fall. Results To evaluate the proposed system, SVM, KNN, and NN were used. The results of this study identified KNN as the most accurate classifier with maximum accuracy of 96% for age groups and 93% for weight groups. Conclusions In this paper, a classification-based fall detection system is proposed. For this purpose, the SMotion data set was developed and categorized into two groups (age and weight groups). The proposed fall detection system for the elderly is implemented through a body area sensor network using third-generation sensors. The evaluation results demonstrate the reasonable performance of the proposed fall detection prototype system in the tested scenarios. PMID:28875049
Implementation of Quality Management in Core Service Laboratories
Creavalle, T.; Haque, K.; Raley, C.; Subleski, M.; Smith, M.W.; Hicks, B.
2010-01-01
CF-28 The Genetics and Genomics group of the Advanced Technology Program of SAIC-Frederick exists to bring innovative genomic expertise, tools and analysis to NCI and the scientific community. The Sequencing Facility (SF) provides next generation short read (Illumina) sequencing capacity to investigators using a streamlined production approach. The Laboratory of Molecular Technology (LMT) offers a wide range of genomics core services including microarray expression analysis, miRNA analysis, array comparative genome hybridization, long read (Roche) next generation sequencing, quantitative real time PCR, transgenic genotyping, Sanger sequencing, and clinical mutation detection services to investigators from across the NIH. As the technology supporting this genomic research becomes more complex, the need for basic quality processes within all aspects of the core service groups becomes critical. The Quality Management group works alongside members of these labs to establish or improve processes supporting operations control (equipment, reagent and materials management), process improvement (reengineering/optimization, automation, acceptance criteria for new technologies and tech transfer), and quality assurance and customer support (controlled documentation/SOPs, training, service deficiencies and continual improvement efforts). Implementation and expansion of quality programs within unregulated environments demonstrates SAIC-Frederick's dedication to providing the highest quality products and services to the NIH community.
Hill, Laura G; Goates, Scott G; Rosenman, Robert
2010-04-01
To calculate valid estimates of the costs and benefits of substance abuse prevention programs, selection effects must be identified and corrected. A supplemental comparison sample is typically used for this purpose, but in community-based program implementations, such a sample is often not available. We present an evaluation design and analytic approach that can be used in program evaluations of real-world implementations to identify selection effects, which in turn can help inform recruitment strategies, pinpoint possible selection influences on measured program outcomes, and refine estimates of program costs and benefits. We illustrate our approach with data from a multisite implementation of a popular substance abuse prevention program. Our results indicate that the program's participants differed significantly from the population at large.
Human Resources Task Group Report Task 3
2002-12-18
AND ADDRESS(ES) Defense Business Board,1155 Defense Pentagon,Washington,DC,20301-1155 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING...2002 DEFENSE BUSINESS PRACTICE IMPLEMENTATION BOARD Defense Business Practice Implementation Board Human Resources Task Group...their hiring success and reduced attrition through use of aptitude and motivational testing. Defense Business Practice Implementation Board Human
Alsop, David C.; Detre, John A.; Golay, Xavier; Günther, Matthias; Hendrikse, Jeroen; Hernandez-Garcia, Luis; Lu, Hanzhang; MacIntosh, Bradley J.; Parkes, Laura M.; Smits, Marion; van Osch, Matthias J. P.; Wang, Danny JJ; Wong, Eric C.; Zaharchuk, Greg
2014-01-01
This article provides a summary statement of recommended implementations of arterial spin labeling (ASL) for clinical applications. It is a consensus of the ISMRM Perfusion Study Group and the European ‘ASL in Dementia’ consortium, both of whom met to reach this consensus in October 2012 in Amsterdam. Although ASL continues to undergo rapid technical development, we believe that current ASL methods are robust and ready to provide useful clinical information, and that a consensus statement on recommended implementations will help the clinical community to adopt a standardized approach. In this article we describe the major considerations and tradeoffs in implementing an ASL protocol, and provide specific recommendations for a standard approach. Our conclusions are that, as an optimal default implementation we recommend: pseudo-continuous labeling, background suppression, a segmented 3D readout without vascular crushing gradients, and calculation and presentation of both label/control difference images and cerebral blood flow in absolute units using a simplified model. PMID:24715426
Towards a successful clinical implementation of fluorescence-guided surgery.
Snoeks, T J A; van Driel, P B A A; Keereweer, S; Aime, S; Brindle, K M; van Dam, G M; Löwik, C W G M; Ntziachristos, V; Vahrmeijer, A L
2014-04-01
During the European Molecular Imaging Meeting (EMIM) 2013, the fluorescence-guided surgery study group held its inaugural session to discuss the clinical implementation of fluorescence-guided surgery. The general aim of this study group is to discuss and identify the steps required to successfully and safely bring intraoperative fluorescence imaging to the clinics. The focus group intends to use synergies between interested groups as a tool to address regulatory and implementation hurdles in Europe and operates within the intraoperative focus group of the World Molecular Imaging Society (WMIS) that promotes the same interests at the WMIS level. The major topics on the critical path of implementation identified within the study group were quality controls and standards for ensuring accurate imaging and the ability to compare results from different studies, regulatory affairs, and strategies to increase awareness among physicians, regulators, insurance companies, and a broader audience. These hurdles, and the possible actions discussed to overcome them, are summarized in this report. Furthermore, a number of recommendations for the future shape of the fluorescence-guided study group are discussed. A main driving conclusion remains that intraoperative imaging has great clinical potential and that many of the solutions required are best addressed with the community working together to optimally promote and accelerate the clinical implementation of fluorescence imaging towards improving surgical procedures.
Anomaly Detection in Power Quality at Data Centers
NASA Technical Reports Server (NTRS)
Grichine, Art; Solano, Wanda M.
2015-01-01
The goal during my internship at the National Center for Critical Information Processing and Storage (NCCIPS) is to implement an anomaly detection method through the StruxureWare SCADA Power Monitoring system. The benefit of the anomaly detection mechanism is to provide the capability to detect and anticipate equipment degradation by monitoring power quality prior to equipment failure. First, a study is conducted that examines the existing techniques of power quality management. Based on these findings, and the capabilities of the existing SCADA resources, recommendations are presented for implementing effective anomaly detection. Since voltage, current, and total harmonic distortion demonstrate Gaussian distributions, effective set-points are computed using this model, while maintaining a low false positive count.
Image Science and Analysis Group Spacecraft Damage Detection/Characterization
NASA Technical Reports Server (NTRS)
Wheaton, Ira M., Jr.
2010-01-01
This project consisted of several tasks that could be served by an intern to assist the ISAG in detecting damage to spacecrafts during missions. First, this project focused on supporting the Micrometeoroid Orbital Debris (MMOD) damage detection and assessment for the Hubble Space Telescope (HST) using imagery from the last two HST Shuttle servicing missions. In this project, we used coordinates of two windows on the Shuttle Aft flight deck from where images were taken and the coordinates of three ID points in order to calculate the distance from each window to the three points. Then, using the specifications from the camera used, we calculated the image scale in pixels per inch for planes parallel to and planes in the z-direction to the image plane (shown in Table 1). This will help in the future for calculating measurements of objects in the images. Next, tabulation and statistical analysis were conducted for screening results (shown in Table 2) of imagery with Orion Thermal Protection System (TPS) damage. Using the Microsoft Excel CRITBINOM function and Goal Seek, the probabilities of detection of damage to different shuttle tiles were calculated as shown in Table 3. Using developed measuring tools, volume and area measurements will be created from 3D models of Orion TPS damage. Last, mathematical expertise was provided to the Photogrammetry Team. These mathematical tasks consisted of developing elegant image space error equations for observations along 3D lines, circles, planes, etc. and checking proofs for minimal sets of sufficient multi-linear constraints. Some of the processes and resulting equations are displayed in Figure 1.
Parallel heuristics for scalable community detection
Lu, Hao; Halappanavar, Mahantesh; Kalyanaraman, Ananth
2015-08-14
Community detection has become a fundamental operation in numerous graph-theoretic applications. Despite its potential for application, there is only limited support for community detection on large-scale parallel computers, largely owing to the irregular and inherently sequential nature of the underlying heuristics. In this paper, we present parallelization heuristics for fast community detection using the Louvain method as the serial template. The Louvain method is an iterative heuristic for modularity optimization. Originally developed in 2008, the method has become increasingly popular owing to its ability to detect high modularity community partitions in a fast and memory-efficient manner. However, the method ismore » also inherently sequential, thereby limiting its scalability. Here, we observe certain key properties of this method that present challenges for its parallelization, and consequently propose heuristics that are designed to break the sequential barrier. For evaluation purposes, we implemented our heuristics using OpenMP multithreading, and tested them over real world graphs derived from multiple application domains. Compared to the serial Louvain implementation, our parallel implementation is able to produce community outputs with a higher modularity for most of the inputs tested, in comparable number or fewer iterations, while providing real speedups of up to 16x using 32 threads.« less
Venezia, R A; Ryan, A; Alward, S; Kostun, W A
1985-01-01
Throat swabs from 196 pediatric patients were processed by a direct extraction-latex agglutination method (Group A Strep Direct Antigen Identification Test [DAI]) that detects group A streptococci in the specimen. The method requires a 45-min enzymatic extraction period at 37 degrees C and a 4-min reaction period with antibody-linked latex particles. The results were compared with those of the culture and fluorescent antibody methods and the clinical presentation of the patient for pharyngitis. Ninety-three percent of the specimens resulted in agreement by all tests, and 28% were culture positive for group A streptococci. Compared with the culture method, the DAI had a sensitivity and a specificity of 83% and 99%, respectively. The positive predictive values were 98% versus the culture method and 93% versus the fluorescent antibody method, whereas the negative predictive values were 94% versus both other methods. Of the 14 discrepant results when both clinical presentation of an acute pharyngitis and the test results were compared, the culture method provided the best correlation. An additional 64 specimens were processed by the DAI and another direct extraction-latex agglutination method (Culturette Ten-Minute Group A Strep ID Test), and the results were compared with those of the culture method. This group had a 40.6% culture isolation rate for group A streptococci. The sensitivity and specificity of the DAI and Strep ID methods versus the culture method were 81 and 100%, and 77 and 97%, respectively. These results indicate that the DAI is accurate for diagnosing group A streptococcal pharyngitis directly from throat swabs. However, negative results in the presence of a symptomatic patient must be confirmed by standard culture techniques. PMID:3884656
Jaworowski, Andrzej; Huras, Hubert; Zembala-Szczerba, Margorzata; Babczyk, Dorota; Wolak, Agnieszka; Stettner, Dominika; Jach, Robert
Maternal colonization of Streptococcus agalactiae in pregnancy constitute an important clinical problem, that may result in serious consequences, especially for the newborn. Streptococcus agalactiae is a gram-positive beta-hemolytic streptococci belonging to the serological group B (GBS). According to recent data the GBS is found in 10-30% of healthy women, and the carriage of pathogen is usually asymptomatic. In order to minimize the risk of vertical transmission of the infection to the newborn during the labor, the Polish Society of Gynecology (PTG) has introduced the guidelines of GBS colonization screening for all pregnant women. In this paper, the level of implementation of the screening tests in accordance to the recommendations of the PTG was evaluated. We also assessed the level of knowledge and awareness of pregnant women in detection of GBS colonization during the pregnancy and the prevention of infection in newborn. The survey was conducted among the 172 women hospitalized in hospital maternity wards in the first days of postpartum. Despite the introduction of the Polish Society of Gynecology guidelines, there are still cases of improper screening methods and medical interventions in the event of positive test results. Biological material was collected in 86% of patients (swabs from the genital tract, anus or urine culture). A positive result was found in 22% of patients. In 54% of patients swabs were taken at the recommended period of 35-37 weeks. The recommended collection of the material both from vagina and anus was taken only in 39% of patients. The majority of participated women described their knowledge of the risk associated with group B Streptococcal colonization as good, however only half of them found acquired information sufficient. Despite the implementation of guidelines Polish Gynaecological Society the incorrect conduct of the prevention against GBS is still performed in some cases. It is appropriate to perform consciousnessraising
Holographic Radar Imaging Privacy Techniques Utilizing Dual-Frequency Implementation
DOE Office of Scientific and Technical Information (OSTI.GOV)
McMakin, Douglas L.; Hall, Thomas E.; Sheen, David M.
2008-04-18
Over the last 15 years, the Pacific Northwest National Laboratory has performed significant research and development activities to enhance the state of the art of holographic radar imaging systems to be used at security checkpoints for screening people for concealed threats hidden under their garments. These enhancement activities included improvements to privacy techniques to remove human features and providing automatic detection of body-worn concealed threats. The enhanced privacy and detection methods used both physical and software imaging techniques. The physical imaging techniques included polarization-diversity illumination and reception, dual-frequency implementation, and high-frequency imaging at 60 GHz. Software imaging techniques to enhancemore » the privacy of the person under surveillance included extracting concealed threat artifacts from the imagery to automatically detect the threat. This paper will focus on physical privacy techniques using dual-frequency implementation.« less
Holographic radar imaging privacy techniques utilizing dual-frequency implementation
NASA Astrophysics Data System (ADS)
McMakin, Douglas L.; Hall, Thomas E.; Sheen, David M.
2008-04-01
Over the last 15 years, the Pacific Northwest National Laboratory has performed significant research and development activities to enhance the state of the art of holographic radar imaging systems to be used at security checkpoints for screening people for concealed threats hidden under their garments. These enhancement activities included improvements to privacy techniques to remove human features and providing automatic detection of body-worn concealed threats. The enhanced privacy and detection methods used both physical and software imaging techniques. The physical imaging techniques included polarization-diversity illumination and reception, dual-frequency implementation, and high-frequency imaging at 60 GHz. Software imaging techniques to enhance the privacy of the person under surveillance included extracting concealed threat artifacts from the imagery to automatically detect the threat. This paper will focus on physical privacy techniques using dual-frequency implementation.
Domain similarity based orthology detection.
Bitard-Feildel, Tristan; Kemena, Carsten; Greenwood, Jenny M; Bornberg-Bauer, Erich
2015-05-13
Orthologous protein detection software mostly uses pairwise comparisons of amino-acid sequences to assert whether two proteins are orthologous or not. Accordingly, when the number of sequences for comparison increases, the number of comparisons to compute grows in a quadratic order. A current challenge of bioinformatic research, especially when taking into account the increasing number of sequenced organisms available, is to make this ever-growing number of comparisons computationally feasible in a reasonable amount of time. We propose to speed up the detection of orthologous proteins by using strings of domains to characterize the proteins. We present two new protein similarity measures, a cosine and a maximal weight matching score based on domain content similarity, and new software, named porthoDom. The qualities of the cosine and the maximal weight matching similarity measures are compared against curated datasets. The measures show that domain content similarities are able to correctly group proteins into their families. Accordingly, the cosine similarity measure is used inside porthoDom, the wrapper developed for proteinortho. porthoDom makes use of domain content similarity measures to group proteins together before searching for orthologs. By using domains instead of amino acid sequences, the reduction of the search space decreases the computational complexity of an all-against-all sequence comparison. We demonstrate that representing and comparing proteins as strings of discrete domains, i.e. as a concatenation of their unique identifiers, allows a drastic simplification of search space. porthoDom has the advantage of speeding up orthology detection while maintaining a degree of accuracy similar to proteinortho. The implementation of porthoDom is released using python and C++ languages and is available under the GNU GPL licence 3 at http://www.bornberglab.org/pages/porthoda .
Yu, Tingting; Sun, Ping; Hu, Yijie; Ji, Yinggang; Zhou, Hongping; Zhang, Baowei; Tian, Yupeng; Wu, Jieying
2016-12-15
A simple-molecule fluorescence probe L has been designed, synthesized and characterized, which shows high selectivity and sensitivity for the main group magnesium ion through fluorescence "turn-on" response in ethanol solution, and no interference from calcium ion in particular. Detection limit of probe L is 1.47×10(-6) M and the rapid response could reach about 15-20s. The recognition mechanism has been established by fluorescence spectra, (1)H NMR study. Moreover, probe L presents a great photostability, low toxicity and cellular permeability, then we have carried out fluorescent bio-imaging of the probe L for magnesium ions in HeLa cells, which showed that probe L could be utilized to detect the intracellular magnesium ion. Furthermore, it is successfully used as a magnesium ion developer in plant tissues, which shows that it not only can be well tracking the transport of magnesium ion but also make a corresponding fluorescence response to different concentrations magnesium ion. These results would make this probe a great potential application for detecting Mg(2+) in biological system. Copyright © 2016 Elsevier B.V. All rights reserved.
Hodgetts, Jennifer; Boonham, Neil; Mumford, Rick; Dickinson, Matthew
2009-01-01
Primers and probes based on the 23S rRNA gene have been utilized to design a range of real-time PCR assays for routine phytoplasma diagnostics. These assays have been authenticated as phytoplasma specific and shown to be at least as sensitive as nested PCR. A universal assay to detect all phytoplasmas has been developed, along with a multiplex assay to discriminate 16SrI group phytoplasmas from members of all of the other 16Sr groups. Assays for the 16SrII, 16SrIV, and 16SrXII groups have also been developed to confirm that the 23S rRNA gene can be used to design group-specific assays. PMID:19270148
Process Evaluation of Making HEPA Policy Practice: A Group Randomized Trial.
Weaver, Robert G; Moore, Justin B; Huberty, Jennifer; Freedman, Darcy; Turner-McGrievy, Brie; Beighle, Aaron; Ward, Diane; Pate, Russell; Saunders, Ruth; Brazendale, Keith; Chandler, Jessica; Ajja, Rahma; Kyryliuk, Becky; Beets, Michael W
2016-09-01
This study examines the link between implementation of Strategies to Enhance Practice (STEPs) and outcomes. Twenty after-school programs (ASPs) participated in an intervention to increase children's accumulation of 30 minutes/day of moderate to vigorous physical activity (MVPA) and quality of snacks served during program time. Outcomes were measured via accelerometer (MVPA) and direct observation (snacks). STEPs implementation data were collected via document review and direct observation. Based on implementation data, ASPs were divided into high/low implementers. Differences between high/low implementers' change in percentage of boys accumulating 30 minutes/day of MVPA were observed. There was no difference between high/low implementers for girls. Days fruits and/or vegetables and water were served increased in the high/low implementation groups, while desserts and sugar-sweetened beverages decreased. Effect sizes (ES) for the difference in changes between the high and low group ranged from low (ES = 0.16) to high (ES = 0.97). Higher levels of implementation led to increased MVPA for boys, whereas girls MVPA benefited from the intervention regardless of high/low implementation. ESs of the difference between high/low implementers indicate that increased implementation of STEPs increases days healthier snacks are served. Programs in the high-implementation group implemented a variety of STEPs strategies, suggesting local adoption/adaptation is key to implementation. © 2016 Society for Public Health Education.
Towards the run and walk activity classification through step detection--an android application.
Oner, Melis; Pulcifer-Stump, Jeffry A; Seeling, Patrick; Kaya, Tolga
2012-01-01
Falling is one of the most common accidents with potentially irreversible consequences, especially considering special groups, such as the elderly or disabled. One approach to solve this issue would be an early detection of the falling event. Towards reaching the goal of early fall detection, we have worked on distinguishing and monitoring some basic human activities such as walking and running. Since we plan to implement the system mostly for seniors and the disabled, simplicity of the usage becomes very important. We have successfully implemented an algorithm that would not require the acceleration sensor to be fixed in a specific position (the smart phone itself in our application), whereas most of the previous research dictates the sensor to be fixed in a certain direction. This algorithm reviews data from the accelerometer to determine if a user has taken a step or not and keeps track of the total amount of steps. After testing, the algorithm was more accurate than a commercial pedometer in terms of comparing outputs to the actual number of steps taken by the user.
Microcontroller-based real-time QRS detection.
Sun, Y; Suppappola, S; Wrublewski, T A
1992-01-01
The authors describe the design of a system for real-time detection of QRS complexes in the electrocardiogram based on a single-chip microcontroller (Motorola 68HC811). A systematic analysis of the instrumentation requirements for QRS detection and of the various design techniques is also given. Detection algorithms using different nonlinear transforms for the enhancement of QRS complexes are evaluated by using the ECG database of the American Heart Association. The results show that the nonlinear transform involving multiplication of three adjacent, sign-consistent differences in the time domain gives a good performance and a quick response. When implemented with an appropriate sampling rate, this algorithm is also capable of rejecting pacemaker spikes. The eight-bit single-chip microcontroller provides sufficient throughput and shows a satisfactory performance. Implementation of multiple detection algorithms in the same system improves flexibility and reliability. The low chip count in the design also favors maintainability and cost-effectiveness.
The meaning and measurement of implementation climate
2011-01-01
Background Climate has a long history in organizational studies, but few theoretical models integrate the complex effects of climate during innovation implementation. In 1996, a theoretical model was proposed that organizations could develop a positive climate for implementation by making use of various policies and practices that promote organizational members' means, motives, and opportunities for innovation use. The model proposes that implementation climate--or the extent to which organizational members perceive that innovation use is expected, supported, and rewarded--is positively associated with implementation effectiveness. The implementation climate construct holds significant promise for advancing scientific knowledge about the organizational determinants of innovation implementation. However, the construct has not received sufficient scholarly attention, despite numerous citations in the scientific literature. In this article, we clarify the meaning of implementation climate, discuss several measurement issues, and propose guidelines for empirical study. Discussion Implementation climate differs from constructs such as organizational climate, culture, or context in two important respects: first, it has a strategic focus (implementation), and second, it is innovation-specific. Measuring implementation climate is challenging because the construct operates at the organizational level, but requires the collection of multi-dimensional perceptual data from many expected innovation users within an organization. In order to avoid problems with construct validity, assessments of within-group agreement of implementation climate measures must be carefully considered. Implementation climate implies a high degree of within-group agreement in climate perceptions. However, researchers might find it useful to distinguish implementation climate level (the average of implementation climate perceptions) from implementation climate strength (the variability of
Fluorescence detection of dental calculus
NASA Astrophysics Data System (ADS)
Gonchukov, S.; Biryukova, T.; Sukhinina, A.; Vdovin, Yu
2010-11-01
This work is devoted to the optimization of fluorescence dental calculus diagnostics in optical spectrum. The optimal wavelengths for fluorescence excitation and registration are determined. Two spectral ranges 620 - 645 nm and 340 - 370 nm are the most convenient for supra- and subgingival calculus determination. The simple implementation of differential method free from the necessity of spectrometer using was investigated. Calculus detection reliability in the case of simple implementation is higher than in the case of spectra analysis at optimal wavelengths. The use of modulated excitation light and narrowband detection of informative signal allows us to decrease essentially its diagnostic intensity even in comparison with intensity of the low level laser dental therapy.
Implementing human factors in clinical practice.
Timmons, Stephen; Baxendale, Bryn; Buttery, Andrew; Miles, Giulia; Roe, Bridget; Browes, Simon
2015-05-01
To understand whether aviation-derived human factors training is acceptable and useful to healthcare professionals. To understand whether and how healthcare professionals have been able to implement human factors approaches to patient safety in their own area of clinical practice. Qualitative, longitudinal study using semi-structured interviews and focus groups, of a multiprofessional group of UK NHS staff (from the emergency department and operating theatres) who have received aviation-derived human factors training. The human factors training was evaluated positively, and thought to be both acceptable and relevant to practice. However, the staff found it harder to implement what they had learned in their own clinical areas, and this was principally attributed to features of the informal organisational cultures. In order to successfully apply human factors approaches in hospital, careful consideration needs to be given to the local context and informal culture of clinical practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Genetic analysis of mecA gene and detection of homologue pbpD in Stahylococcus sciuri group
Calazans-Silva, Amanda C.; Medeiros, Pedro T.C.; Araujo, Dayanne M.; Carvalho, Bruno O.; Coelho, Irene S.; Coelho, Shana M.O.; Souza, Miliane M.S.
2014-01-01
Oxacillin/methicillin-resistance is related to the mecA and its regulatory genes mecR1 and mecI. Its origin is still unknown, although evidences support that it is related to CNS, once mecA and a homologue gene, pbpD, were both detected in Staphylococcus sciuri species group. The present work evaluated 210 samples of skin and ear swabs from rodents and 60 nasal swabs from equines of Army Biologic Institute, Rio de Janeiro. Pheno- and genotypic characterization provided 59.52% (25/42) and 78.57% (11/14) S. lentus and S. sciuri, respectively. It was observed that although all S. sciuri isolates tested positive for pbpD, there was no correlation with oxacillin-resistance. On the other hand, isolates tested positive for mecA gene also presented phenotypic oxacillin-resistance in at least one assay. The alignment of the mecA gene showed that the nucleotide sequences were sorted into 2 different groups, one comprising the bovine strains and the other containing human and equine strains. PMID:25242954
NASA Astrophysics Data System (ADS)
Sardina, V.
2017-12-01
The Pacific Tsunami Warning Center's round the clock operations rely on the rapid determination of the source parameters of earthquakes occurring around the world. To rapidly estimate source parameters such as earthquake location and magnitude the PTWC analyzes data streams ingested in near-real time from a global network of more than 700 seismic stations. Both the density of this network and the data latency of its member stations at any given time have a direct impact on the speed at which the PTWC scientists on duty can locate an earthquake and estimate its magnitude. In this context, it turns operationally advantageous to have the ability of assessing how quickly the PTWC operational system can reasonably detect and locate and earthquake, estimate its magnitude, and send the corresponding tsunami message whenever appropriate. For this purpose, we designed and implemented a multithreaded C++ software package to generate detection time grids for both P- and S-waves after taking into consideration the seismic network topology and the data latency of its member stations. We first encapsulate all the parameters of interest at a given geographic point, such as geographic coordinates, P- and S-waves detection time in at least a minimum number of stations, and maximum allowed azimuth gap into a DetectionTimePoint class. Then we apply composition and inheritance to define a DetectionTimeLine class that handles a vector of DetectionTimePoint objects along a given latitude. A DetectionTimesGrid class in turn handles the dynamic allocation of new TravelTimeLine objects and assigning the calculation of the corresponding P- and S-waves' detection times to new threads. Finally, we added a GUI that allows the user to interactively set all initial calculation parameters and output options. Initial testing in an eight core system shows that generation of a global 2D grid at 1 degree resolution setting detection on at least 5 stations and no azimuth gap restriction takes under 25
ERIC Educational Resources Information Center
Palmer, Porter W.
2009-01-01
Since Federal regulations have given states the option to implement alternate assessments based on modified academic achievement standards (AA-MAS) as part of their accountability systems for a small group of students with disabilities, a number of states have made decisions about whether or not to develop and implement such an assessment.…
LSDCat: Detection and cataloguing of emission-line sources in integral-field spectroscopy datacubes
NASA Astrophysics Data System (ADS)
Herenz, Edmund Christian; Wisotzki, Lutz
2017-06-01
We present a robust, efficient, and user-friendly algorithm for detecting faint emission-line sources in large integral-field spectroscopic datacubes together with the public release of the software package Line Source Detection and Cataloguing (LSDCat). LSDCat uses a three-dimensional matched filter approach, combined with thresholding in signal-to-noise, to build a catalogue of individual line detections. In a second pass, the detected lines are grouped into distinct objects, and positions, spatial extents, and fluxes of the detected lines are determined. LSDCat requires only a small number of input parameters, and we provide guidelines for choosing appropriate values. The software is coded in Python and capable of processing very large datacubes in a short time. We verify the implementation with a source insertion and recovery experiment utilising a real datacube taken with the MUSE instrument at the ESO Very Large Telescope. The LSDCat software is available for download at http://muse-vlt.eu/science/tools and via the Astrophysics Source Code Library at http://ascl.net/1612.002
Hastrup, Lene Halling; Haahr, Ulrik Helt; Nordgaard, Julie; Simonsen, Erik
2018-04-26
In an effort to make people with signs of psychosis seek help as early as possible, Region Zealand launched in 2012 an early detection team project as the first and only in Denmark. The project consisted of a combination of easy access and an information campaign targeting the public. This nation-wide study examined characteristics and help-seeking behavior of patients with first-episode schizophrenia (FES) in the early detection region in comparison with other Danish regions. Data from the Danish National Schizophrenia register on all Danish patients diagnosed with first-episode schizophrenia during 2012 to 2015 were linked to demographic and health care data drawn from official national registers. Binary logistic regression analyses examined the difference between the early detection region and other regions controlling for demographic characteristics and utilization of mental health care services and contacts to general practitioner (GP). Patients in the early detection region were younger (OR = 0.51; CI: 0.42-0.62; p < 0.000) than in regions without early detection teams. Furthermore, they were more likely to be of Danish origin, and less likely to have contact with mental health services and GPs prior to FES. The study suggests that implementing an early detection team in combination with an information campaign contributed to detecting patients with first-episode schizophrenia earlier than in regions without the early detection team. The study gives an indication of different pathways among patients in the early detection region. Copyright © 2018. Published by Elsevier B.V.
Baker, Felicity A; Stretton-Smith, Phoebe; Clark, Imogen N; Tamplin, Jeanette; Lee, Young-Eun C
2018-01-01
This study aimed to test the feasibility of implementing a group songwriting program with family caregivers (FCGs) of people living with dementia. Fourteen FCGs consented to participate in either the songwriting group ( n = 8) or control condition ( n = 6). Participants completed baseline and 7-week measures of depression (PHQ-9), perceptions of their caregiving experience (PACQ), and perceptions of their relationship with the care recipient (QCPR). A six-session group songwriting program was implemented across two sites, focusing on participants co-creating a song about their caregiving experiences. Participation and retention rates were high suggesting the intervention was acceptable. An observed pre-post effect size for the PHQ-9 in the experimental group ( d = 0.64) and control group ( d = -0.33) suggests the measure is sensitive to change over a short period of time in this population and has the potential to detect significant change in a larger controlled trial. Qualitative analysis of focus group interviews suggested the songwriting process allowed participants to share their entire caregiver journey with others, differentiating the intervention from standard carer support groups. Participants described group songwriting as enabling them to find connections with other caregivers, create a group identity, and gain insight into their carer journey, subsequently leading to the development of inner strength and personal growth. Qualitative findings suggest coping may be a more relevant construct to measure than caregiver-patient relationship quality or caregivers' perception of caregiving.
ERIC Educational Resources Information Center
Spybrook, Jessaca; Puente, Anne Cullen; Lininger, Monica
2013-01-01
This article examines changes in the research design, sample size, and precision between the planning phase and implementation phase of group randomized trials (GRTs) funded by the Institute of Education Sciences. Thirty-eight GRTs funded between 2002 and 2006 were examined. Three studies revealed changes in the experimental design. Ten studies…
Tuck, Melissa K; Chan, Daniel W; Chia, David; Godwin, Andrew K; Grizzle, William E; Krueger, Karl E; Rom, William; Sanda, Martin; Sorbara, Lynn; Stass, Sanford; Wang, Wendy; Brenner, Dean E
2009-01-01
Specimen collection is an integral component of clinical research. Specimens from subjects with various stages of cancers or other conditions, as well as those without disease, are critical tools in the hunt for biomarkers, predictors, or tests that will detect serious diseases earlier or more readily than currently possible. Analytic methodologies evolve quickly. Access to high-quality specimens, collected and handled in standardized ways that minimize potential bias or confounding factors, is key to the "bench to bedside" aim of translational research. It is essential that standard operating procedures, "the how" of creating the repositories, be defined prospectively when designing clinical trials. Small differences in the processing or handling of a specimen can have dramatic effects in analytical reliability and reproducibility, especially when multiplex methods are used. A representative working group, Standard Operating Procedures Internal Working Group (SOPIWG), comprised of members from across Early Detection Research Network (EDRN) was formed to develop standard operating procedures (SOPs) for various types of specimens collected and managed for our biomarker discovery and validation work. This report presents our consensus on SOPs for the collection, processing, handling, and storage of serum and plasma for biomarker discovery and validation.
Design, Implementation and Deployment of PAIRwise
ERIC Educational Resources Information Center
Knight, Allan; Almeroth, Kevin; Bimber, Bruce
2008-01-01
Increased access to the Internet has dramatically increased the sources from which students can deliberately or accidentally copy information. This article discusses our motivation to design, implement, and deploy an Internet based plagiarism detection system, called PAIRwise, to address this growing problem. We give details as to how we detect…
Mukherjee, S; Saha, A; Kumar P, Senthil; Chandak, G R; Majumder, P P; Ray, K
2006-01-01
Hemophilia B, an X-linked recessive bleeding disorder, is caused by heterogeneous mutations in the factor IX (F9) gene. Hence, carriers of the disease are usually detected by F9 gene linked RFLP analysis. We aimed to test a set of RFLP markers (DdeI, XmnI, MnlI, TaqI & HhaI), used worldwide for carrier detection, to estimate its heterozygosity in different population groups of India, and identify additional single nucleotide polymorphisms (SNPs) if necessary. A total of 8 population groups encompassing different regions of India, consisting of 107 unrelated normal females without any history of hemophilia B in the family and 13 unrelated obligate carriers were recruited in the study. Regions of F9 gene were amplified by PCR from genomic DNA of the donors followed by restriction enzyme digestion and/or sequencing as appropriate. Combined informativeness for the markers varied between 52-86% among normal females belonging to different geographical locations of India. Haplotype analysis revealed that the most prevalent haplotype lacked the restriction sites for all five RFLP markers. Screening regions of F9 gene that harbor 10 SNPs reported in dbSNP yielded only two SNPs, which increased the overall informativeness in each population group and heterozygosity in the obligate carriers for the disease from 38% to 69%. Our data show that heterozygosity of commonly used RFLP markers is remarkably variable across different regions of India. Thus prudent selection of the markers based on specific population groups including usage of additional markers is recommended for efficient carrier detection.
Mukherjee, S.; Saha, A.; Kumar P., Senthil; Chandak, G. R.; Majumder, P. P.; Ray, K.
2006-01-01
Hemophilia B, an X-linked recessive bleeding disorder, is caused by heterogeneous mutations in the factor IX (F9) gene. Hence, carriers of the disease are usually detected by F9 gene linked RFLP analysis. We aimed to test a set of RFLP markers (DdeI, XmnI, MnlI, TaqI & HhaI), used worldwide for carrier detection, to estimate its heterozygosity in different population groups of India, and identify additional single nucleotide polymorphisms (SNPs) if necessary. A total of 8 population groups encompassing different regions of India, consisting of 107 unrelated normal females without any history of hemophilia B in the family and 13 unrelated obligate carriers were recruited in the study. Regions of F9 gene were amplified by PCR from genomic DNA of the donors followed by restriction enzyme digestion and/or sequencing as appropriate. Combined informativeness for the markers varied between 52–86% among normal females belonging to different geographical locations of India. Haplotype analysis revealed that the most prevalent haplotype lacked the restriction sites for all five RFLP markers. Screening regions of F9 gene that harbor 10 SNPs reported in dbSNP yielded only two SNPs, which increased the overall informativeness in each population group and heterozygosity in the obligate carriers for the disease from 38% to 69%. Our data show that heterozygosity of commonly used RFLP markers is remarkably variable across different regions of India. Thus prudent selection of the markers based on specific population groups including usage of additional markers is recommended for efficient carrier detection. PMID:17264403
Lexington incident detection system evaluation report : final report.
DOT National Transportation Integrated Search
2005-11-01
This report describes the evaluation of an experimental incident detection system implemented within the Lexington/Fayette County area by the Lexington Fayette Urban County Government Department of Traffic Engineering. The incident detection system i...
ERIC Educational Resources Information Center
St. Pierre, Betsy K.
2010-01-01
Both the Council for Accreditation of Counseling and Related Education Programs (CACREP) and the Association for Specialists in Group Work (ASGW) require counselor education programs to provide experiential training to group workers (CACREP, 2009; ASGW, 2000). However, no specific models are given to counselor educators to implement the…
NASA Technical Reports Server (NTRS)
Kasturi, Rangachar; Camps, Octavia; Coraor, Lee
2000-01-01
The research reported here is a part of NASA's Synthetic Vision System (SVS) project for the development of a High Speed Civil Transport Aircraft (HSCT). One of the components of the SVS is a module for detection of potential obstacles in the aircraft's flight path by analyzing the images captured by an on-board camera in real-time. Design of such a module includes the selection and characterization of robust, reliable, and fast techniques and their implementation for execution in real-time. This report describes the results of our research in realizing such a design. It is organized into three parts. Part I. Data modeling and camera characterization; Part II. Algorithms for detecting airborne obstacles; and Part III. Real time implementation of obstacle detection algorithms on the Datacube MaxPCI architecture. A list of publications resulting from this grant as well as a list of relevant publications resulting from prior NASA grants on this topic are presented.
Smelter, Andrey; Rouchka, Eric C; Moseley, Hunter N B
2017-08-01
Peak lists derived from nuclear magnetic resonance (NMR) spectra are commonly used as input data for a variety of computer assisted and automated analyses. These include automated protein resonance assignment and protein structure calculation software tools. Prior to these analyses, peak lists must be aligned to each other and sets of related peaks must be grouped based on common chemical shift dimensions. Even when programs can perform peak grouping, they require the user to provide uniform match tolerances or use default values. However, peak grouping is further complicated by multiple sources of variance in peak position limiting the effectiveness of grouping methods that utilize uniform match tolerances. In addition, no method currently exists for deriving peak positional variances from single peak lists for grouping peaks into spin systems, i.e. spin system grouping within a single peak list. Therefore, we developed a complementary pair of peak list registration analysis and spin system grouping algorithms designed to overcome these limitations. We have implemented these algorithms into an approach that can identify multiple dimension-specific positional variances that exist in a single peak list and group peaks from a single peak list into spin systems. The resulting software tools generate a variety of useful statistics on both a single peak list and pairwise peak list alignment, especially for quality assessment of peak list datasets. We used a range of low and high quality experimental solution NMR and solid-state NMR peak lists to assess performance of our registration analysis and grouping algorithms. Analyses show that an algorithm using a single iteration and uniform match tolerances approach is only able to recover from 50 to 80% of the spin systems due to the presence of multiple sources of variance. Our algorithm recovers additional spin systems by reevaluating match tolerances in multiple iterations. To facilitate evaluation of the
NASA Astrophysics Data System (ADS)
Tuna, G.; Örenbaş, H.; Daş, R.; Kogias, D.; Baykara, M.; K, K.
2016-03-01
Wireless Sensor Networks (WSNs) when combined with various energy harvesting solutions managing to prolong the overall lifetime of the system and enhanced capabilities of the communication protocols used by modern sensor nodes are efficiently used in are efficiently used in Smart Grid (SG), an evolutionary system for the modernization of existing power grids. However, wireless communication technology brings various types of security threats. In this study, firstly the use of WSNs for SG applications is presented. Second, the security related issues and challenges as well as the security threats are presented. In addition, proposed security mechanisms for WSN-based SG applications are discussed. Finally, an easy- to-implement and simple attack detection framework to prevent attacks directed to sink and gateway nodes with web interfaces is proposed and its efficiency is proved using a case study.
NASA Astrophysics Data System (ADS)
Loreggia, D.; Tataranni, F.; Trivero, P.; Biamino, W.; Di Matteo, L.
2017-10-01
We present the implementation of a procedure to adapt an Asymmetric Wiener Filtering (AWF) methodology aimed to detect and discard ghost signal due to azimuth ambiguities in SAR images to the case for X-band Cosmo Sky Med (CSK) images in the framework of SEASAFE (Slick Emissions And Ship Automatic Features Extraction) project, developed at the Department of Science and Technology Innovation of the University of Piemonte Orientale, Alessandria, Italy. SAR is a useful tool to daily and nightly monitoring of the sea surface in all weather conditions. SEASAFE project is a software platform developed in IDL language able to process data in C- Land X-band SAR images with enhanced algorithm modules for land masking, sea pollution (oil spills) and ship detection; wind and wave evaluation are also available. In this contest, the need to individuate and discard false alarms is a critical requirement. The azimuth ambiguity is one of the main causes that generate false alarm in the ship detection procedure. Many methods to face with this problem were proposed and presented in recent literature. After a review of different approach to this problem, we describe the procedure to adapt the AWF approach presented in [1,2] to the case of X-band CSK images by implementing a selective blocks approach.
Stańczak, Joanna
2006-05-01
Dermacentor reticulatus ticks from Poland were investigated by molecular methods for the presence of rickettsiae. During 2003/2004, a total of 285 adult ticks was assayed using primers RpCS.877 and RpCS.1258 derived from the citrate synthase (gltA) gene, and 116 samples (40.7%) were positive for rickettsial DNA. Ten out of these positive samples were further assayed using SLO1F and SLO1R primers derived form the rOmpA-encoding gene to confirm that detected rickettsiae belong to the spotted fever group (SFG). The obtained sequence of a fragment of the gltA gene of Rickettsia sp. isolated from Polish D. reticulatus demonstrated 96-98% similarities to Rickettsia slovaca, Rickettsia sibirica, Rickettsia honei, and other SFG rickettsiae. The nucleotide sequences of the amplified fragments of the ompA gene were 98% homologous to RpA4 Rickettsia sp. reported from ticks collected in territories of the former Soviet Union.
Detecting Moving Sources in Astronomical Images (Abstract)
NASA Astrophysics Data System (ADS)
Block, A.
2018-06-01
(Abstract only) Source detection in images is an important part of analyzing astronomical data. This project discusses an implementation of image detection in python, as well as processes for performing photometry in python. Application of these tools to looking for moving sources is also discussed.
Topological analysis of group fragmentation in multiagent systems
NASA Astrophysics Data System (ADS)
DeLellis, Pietro; Porfiri, Maurizio; Bollt, Erik M.
2013-02-01
In social animals, the presence of conflicts of interest or multiple leaders can promote the emergence of two or more subgroups. Such subgroups are easily recognizable by human observers, yet a quantitative and objective measure of group fragmentation is currently lacking. In this paper, we explore the feasibility of detecting group fragmentation by embedding the raw data from the individuals' motions on a low-dimensional manifold and analyzing the topological features of this manifold. To perform the embedding, we employ the isomap algorithm, which is a data-driven machine learning tool extensively used in computer vision. We implement this procedure on a data set generated by a modified à la Vicsek model, where agents are partitioned into two or more subsets and an independent leader is assigned to each subset. The dimensionality of the embedding manifold is shown to be a measure of the number of emerging subgroups in the selected observation window and a cluster analysis is proposed to aid the interpretation of these findings. To explore the feasibility of using this approach to characterize group fragmentation in real time and thus reduce the computational cost in data processing and storage, we propose an interpolation method based on an inverse mapping from the embedding space to the original space. The effectiveness of the interpolation technique is illustrated on a test-bed example with potential impact on the regulation of collective behavior of animal groups using robotic stimuli.
Hardware-software face detection system based on multi-block local binary patterns
NASA Astrophysics Data System (ADS)
Acasandrei, Laurentiu; Barriga, Angel
2015-03-01
Face detection is an important aspect for biometrics, video surveillance and human computer interaction. Due to the complexity of the detection algorithms any face detection system requires a huge amount of computational and memory resources. In this communication an accelerated implementation of MB LBP face detection algorithm targeting low frequency, low memory and low power embedded system is presented. The resulted implementation is time deterministic and uses a customizable AMBA IP hardware accelerator. The IP implements the kernel operations of the MB-LBP algorithm and can be used as universal accelerator for MB LBP based applications. The IP employs 8 parallel MB-LBP feature evaluators cores, uses a deterministic bandwidth, has a low area profile and the power consumption is ~95 mW on a Virtex5 XC5VLX50T. The resulted implementation acceleration gain is between 5 to 8 times, while the hardware MB-LBP feature evaluation gain is between 69 and 139 times.
Vision based obstacle detection and grouping for helicopter guidance
NASA Technical Reports Server (NTRS)
Sridhar, Banavar; Chatterji, Gano
1993-01-01
Electro-optical sensors can be used to compute range to objects in the flight path of a helicopter. The computation is based on the optical flow/motion at different points in the image. The motion algorithms provide a sparse set of ranges to discrete features in the image sequence as a function of azimuth and elevation. For obstacle avoidance guidance and display purposes, these discrete set of ranges, varying from a few hundreds to several thousands, need to be grouped into sets which correspond to objects in the real world. This paper presents a new method for object segmentation based on clustering the sparse range information provided by motion algorithms together with the spatial relation provided by the static image. The range values are initially grouped into clusters based on depth. Subsequently, the clusters are modified by using the K-means algorithm in the inertial horizontal plane and the minimum spanning tree algorithms in the image plane. The object grouping allows interpolation within a group and enables the creation of dense range maps. Researchers in robotics have used densely scanned sequence of laser range images to build three-dimensional representation of the outside world. Thus, modeling techniques developed for dense range images can be extended to sparse range images. The paper presents object segmentation results for a sequence of flight images.
Locomotive track detection for underground
NASA Astrophysics Data System (ADS)
Ma, Zhonglei; Lang, Wenhui; Li, Xiaoming; Wei, Xing
2017-08-01
In order to improve the PC-based track detection system, this paper proposes a method to detect linear track for underground locomotive based on DSP + FPGA. Firstly, the analog signal outputted from the camera is sampled by A / D chip. Then the collected digital signal is preprocessed by FPGA. Secondly, the output signal of FPGA is transmitted to DSP via EMIF port. Subsequently, the adaptive threshold edge detection, polar angle and radius constrain based Hough transform are implemented by DSP. Lastly, the detected track information is transmitted to host computer through Ethernet interface. The experimental results show that the system can not only meet the requirements of real-time detection, but also has good robustness.
Al-Jawaldeh, Ayoub; Abul-Fadl, Azza
2018-03-11
The Baby-Friendly Hospital Initiative (BFHI) is a global program for promoting support and protection for breastfeeding. However, its impact on malnutrition, especially in countries of the Eastern Mediterranean region (EMR) that are facing the turmoil of conflict and emergencies, deserves further investigation. Having said that, this paper aims to discuss the status and challenges to BFHI implementation in the EMR countries. Data on BFHI implementation, breastfeeding practices, and nutritional status were collected from countries through structured questionnaires, personal interviews, and databases. The 22 countries of the EMR were categorized as follows: 8 countries in advanced nutrition transition stage (group I), 5 countries in early nutrition transition stage (group II), 4 countries with significant undernutrition (group III), and 5 countries in complex emergency (group IV). The challenges to BFHI implementation were discussed in relation to malnutrition. BFHI was not implemented in 22.7% of EMR countries. Designated Baby-Friendly hospitals totaled 829 (group I: 78.4%, group II: 9.05%; group III: 7.36%; group: IV5.19%). Countries with advanced nutrition transition had the highest implementation of BFHI but the lowest breastfeeding continuity rates. On the other hand, poor nutritional status and emergency states were linked with low BFHI implementation and low exclusive breastfeeding rates but high continuity rates. Early initiation and longer duration of breastfeeding correlated negatively with overweight and obesity ( p < 0.001). In countries with emergency states, breastfeeding continues to be the main source of nourishment. However, suboptimal breastfeeding practices prevail because of poor BFHI implementation which consequently leads to malnutrition. Political willpower and community-based initiatives are needed to promote breastfeeding and strengthen BFHI in the region.
DOE Waste Treatability Group Guidance
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kirkpatrick, T.D.
1995-01-01
This guidance presents a method and definitions for aggregating U.S. Department of Energy (DOE) waste into streams and treatability groups based on characteristic parameters that influence waste management technology needs. Adaptable to all DOE waste types (i.e., radioactive waste, hazardous waste, mixed waste, sanitary waste), the guidance establishes categories and definitions that reflect variations within the radiological, matrix (e.g., bulk physical/chemical form), and regulated contaminant characteristics of DOE waste. Beginning at the waste container level, the guidance presents a logical approach to implementing the characteristic parameter categories as part of the basis for defining waste streams and as the solemore » basis for assigning streams to treatability groups. Implementation of this guidance at each DOE site will facilitate the development of technically defined, site-specific waste stream data sets to support waste management planning and reporting activities. Consistent implementation at all of the sites will enable aggregation of the site-specific waste stream data sets into comparable national data sets to support these activities at a DOE complex-wide level.« less
Automated Detection of Events of Scientific Interest
NASA Technical Reports Server (NTRS)
James, Mark
2007-01-01
A report presents a slightly different perspective of the subject matter of Fusing Symbolic and Numerical Diagnostic Computations (NPO-42512), which appears elsewhere in this issue of NASA Tech Briefs. Briefly, the subject matter is the X-2000 Anomaly Detection Language, which is a developmental computing language for fusing two diagnostic computer programs one implementing a numerical analysis method, the other implementing a symbolic analysis method into a unified event-based decision analysis software system for real-time detection of events. In the case of the cited companion NASA Tech Briefs article, the contemplated events that one seeks to detect would be primarily failures or other changes that could adversely affect the safety or success of a spacecraft mission. In the case of the instant report, the events to be detected could also include natural phenomena that could be of scientific interest. Hence, the use of X- 2000 Anomaly Detection Language could contribute to a capability for automated, coordinated use of multiple sensors and sensor-output-data-processing hardware and software to effect opportunistic collection and analysis of scientific data.
Group Investigation: Structuring an Inquiry-Based Curriculum.
ERIC Educational Resources Information Center
Huhtala, Jack
Group investigation is an organizational approach that allows a class to work actively and collaboratively in small groups and enables students to take an active role in determining their own learning goals and processes. As part of reform and restructuring efforts, Beaverton High School (Oregon) implemented the Group Investigation model with…
Bayesian Hierarchical Grouping: perceptual grouping as mixture estimation
Froyen, Vicky; Feldman, Jacob; Singh, Manish
2015-01-01
We propose a novel framework for perceptual grouping based on the idea of mixture models, called Bayesian Hierarchical Grouping (BHG). In BHG we assume that the configuration of image elements is generated by a mixture of distinct objects, each of which generates image elements according to some generative assumptions. Grouping, in this framework, means estimating the number and the parameters of the mixture components that generated the image, including estimating which image elements are “owned” by which objects. We present a tractable implementation of the framework, based on the hierarchical clustering approach of Heller and Ghahramani (2005). We illustrate it with examples drawn from a number of classical perceptual grouping problems, including dot clustering, contour integration, and part decomposition. Our approach yields an intuitive hierarchical representation of image elements, giving an explicit decomposition of the image into mixture components, along with estimates of the probability of various candidate decompositions. We show that BHG accounts well for a diverse range of empirical data drawn from the literature. Because BHG provides a principled quantification of the plausibility of grouping interpretations over a wide range of grouping problems, we argue that it provides an appealing unifying account of the elusive Gestalt notion of Prägnanz. PMID:26322548
Real-time detection and classification of anomalous events in streaming data
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ferragut, Erik M.; Goodall, John R.; Iannacone, Michael D.
2016-04-19
A system is described for receiving a stream of events and scoring the events based on anomalousness and maliciousness (or other classification). The events can be displayed to a user in user-defined groupings in an animated fashion. The system can include a plurality of anomaly detectors that together implement an algorithm to identify low probability events and detect atypical traffic patterns. The atypical traffic patterns can then be classified as being of interest or not. In one particular example, in a network environment, the classification can be whether the network traffic is malicious or not.
Collaborating with the Peace Corps to Maximize Student Learning in Group Counseling
ERIC Educational Resources Information Center
Lambert, Simone; Goodman-Scott, Emily
2013-01-01
This article explores a model partnership with a counseling education program and the Peace Corps. Counselor education students in a group counseling course developed and implemented a singular structured group session with clients not typically used (e.g., non-counseling students) to maximize student learning and implement group counseling…
NASA Astrophysics Data System (ADS)
Gruber, Thomas; Grim, Larry; Fauth, Ryan; Tercha, Brian; Powell, Chris; Steinhardt, Kristin
2011-05-01
Large networks of disparate chemical/biological (C/B) sensors, MET sensors, and intelligence, surveillance, and reconnaissance (ISR) sensors reporting to various command/display locations can lead to conflicting threat information, questions of alarm confidence, and a confused situational awareness. Sensor netting algorithms (SNA) are being developed to resolve these conflicts and to report high confidence consensus threat map data products on a common operating picture (COP) display. A data fusion algorithm design was completed in a Phase I SBIR effort and development continues in the Phase II SBIR effort. The initial implementation and testing of the algorithm has produced some performance results. The algorithm accepts point and/or standoff sensor data, and event detection data (e.g., the location of an explosion) from various ISR sensors (e.g., acoustic, infrared cameras, etc.). These input data are preprocessed to assign estimated uncertainty to each incoming piece of data. The data are then sent to a weighted tomography process to obtain a consensus threat map, including estimated threat concentration level uncertainty. The threat map is then tested for consistency and the overall confidence for the map result is estimated. The map and confidence results are displayed on a COP. The benefits of a modular implementation of the algorithm and comparisons of fused / un-fused data results will be presented. The metrics for judging the sensor-netting algorithm performance are warning time, threat map accuracy (as compared to ground truth), false alarm rate, and false alarm rate v. reported threat confidence level.
ERIC Educational Resources Information Center
Sellbom, Martin; Toomey, Joseph A.; Wygant, Dustin B.; Kucharski, L. Thomas; Duncan, Scott
2010-01-01
The current study examined the utility of the recently released Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, 2008) validity scales to detect feigned psychopathology in a criminal forensic setting. We used a known-groups design with the Structured Interview of Reported Symptoms (SIRS;…
Change Detection: Training and Transfer
Gaspar, John G.; Neider, Mark B.; Simons, Daniel J.; McCarley, Jason S.; Kramer, Arthur F.
2013-01-01
Observers often fail to notice even dramatic changes to their environment, a phenomenon known as change blindness. If training could enhance change detection performance in general, then it might help to remedy some real-world consequences of change blindness (e.g. failing to detect hazards while driving). We examined whether adaptive training on a simple change detection task could improve the ability to detect changes in untrained tasks for young and older adults. Consistent with an effective training procedure, both young and older adults were better able to detect changes to trained objects following training. However, neither group showed differential improvement on untrained change detection tasks when compared to active control groups. Change detection training led to improvements on the trained task but did not generalize to other change detection tasks. PMID:23840775
Conway, Laurie J.; Riley, Linda; Saiman, Lisa; Cohen, Bevin; Alper, Paul; Larson, Elaine L.
2015-01-01
Article-at-a-Glance Background Despite substantial evidence to support the effectiveness of hand hygiene for preventing health care–associated infections, hand hygiene practice is often inadequate. Hand hygiene product dispensers that can electronically capture hand hygiene events have the potential to improve hand hygiene performance. A study on an automated group monitoring and feedback system was implemented from January 2012 through March 2013 at a 140-bed community hospital. Methods An electronic system that monitors the use of sanitizer and soap but does not identify individual health care personnel was used to calculate hand hygiene events per patient-hour for each of eight inpatient units and hand hygiene events per patient-visit for the six outpatient units. Hand hygiene was monitored but feedback was not provided during a six-month baseline period and three-month rollout period. During the rollout, focus groups were conducted to determine preferences for feedback frequency and format. During the six-month intervention period, graphical reports were e-mailed monthly to all managers and administrators, and focus groups were repeated. Results After the feedback began, hand hygiene increased on average by 0.17 events/patient-hour in inpatient units (interquartile range = 0.14, p = .008). In outpatient units, hand hygiene performance did not change significantly. A variety of challenges were encountered, including obtaining accurate census and staffing data, engendering confidence in the system, disseminating information in the reports, and using the data to drive improvement. Conclusions Feedback via an automated system was associated with improved hand hygiene performance in the short term. PMID:25252389
Conway, Laurie J; Riley, Linda; Saiman, Lisa; Cohen, Bevin; Alper, Paul; Larson, Elaine L
2014-09-01
Despite substantial evidence to support the effectiveness of hand hygiene for preventing health care-associated infections, hand hygiene practice is often inadequate. Hand hygiene product dispensers that can electronically capture hand hygiene events have the potential to improve hand hygiene performance. A study on an automated group monitoring and feedback system was implemented from January 2012 through March 2013 at a 140-bed community hospital. An electronic system that monitors the use of sanitizer and soap but does not identify individual health care personnel was used to calculate hand hygiene events per patient-hour for each of eight inpatient units and hand hygiene events per patient-visit for the six outpatient units. Hand hygiene was monitored but feedback was not provided during a six-month baseline period and three-month rollout period. During the rollout, focus groups were conducted to determine preferences for feedback frequency and format. During the six-month intervention period, graphical reports were e-mailed monthly to all managers and administrators, and focus groups were repeated. After the feedback began, hand hygiene increased on average by 0.17 events/patient-hour in inpatient units (interquartile range = 0.14, p = .008). In outpatient units, hand hygiene performance did not change significantly. A variety of challenges were encountered, including obtaining accurate census and staffing data, engendering confidence in the system, disseminating information in the reports, and using the data to drive improvement. Feedback via an automated system was associated with improved hand hygiene performance in the short-term.
Afanas'ev, M V; Chipanin, E V; Shestakov, V E; Denisov, A V; Fomina, L A; Ostiak, A S; Balakhonov, S V
2013-03-01
The article presents the results of development and practical implementation of system of polymerase chain reaction testing in real-time operation mode to detect agent of plague infield material. In laboratory conditions the system demonstrated good results and hence it was applied in conditions of field laboratory of epidemiologic team during planned epizootologic examination of Gorno-Altaisk hot spot of plague. The sampling consisted of more than 1400 objects. It was demonstrated that high sensitivity and specificity is immanent to proposed system. The adaptation of the system to the real time amplifier "Smart Cycler" (Cephid, USA) having some specific technical characteristics makes it possible to consider the proposed test-system as an effective sensitive and precise instrument for screening studies in the process of regular epizootologic examinations of hot spots of plague.
Language Policy and Group Identification in Taiwan
ERIC Educational Resources Information Center
Liu, Ruey-Ying
2012-01-01
Taiwan is a multicultural and multilingual society. Generally speaking, Taiwanese residents fall into one of four ethnic groups. Each ethnic group has a different cultural context and a preferred language. Therefore, one's use of language may reveal his/her identification with an ethnic group, and language policy implementation may imply the power…
Teachers' and students' verbal behaviours during cooperative and small-group learning.
Gillies, Robyn M
2006-06-01
Teachers play a critical role in promoting interactions between students and engaging them in the learning process. This study builds on a study by Hertz-Lazarowitz and Shachar (1990) who found that during cooperative learning teachers' verbal behaviours were more helpful to and encouraging of their students' efforts while during whole-class instruction, their verbal behaviours tended to be more authoritarian, rigid, and impersonal. This study seeks to determine if teachers who implement cooperative learning engage in more facilitative learning interactions with their students than teachers who implement group work only. The study also seeks to determine if students in the cooperative groups model their teachers' behaviours and engage in more positive helping interactions with each other than their peers in the group work groups. The study involved 26 teachers and 303 students in Grades 8 to 10 from 4 large high schools in Brisbane, Australia. All teachers agreed to establish cooperative, small-group activities in their classrooms for a unit of work (4 to 6 weeks) once a term for 3 school terms. The teachers were audiotaped twice during these lessons and samples of the students' language, as they worked in their groups, were also collected at the same time. The results show that teachers who implement cooperative learning in their classrooms engage in more mediated-learning interactions and make fewer disciplinary comments than teachers who implement group work only. Furthermore, the students model many of these interactions in their groups. The study shows that when teachers implement cooperative learning, their verbal behaviour is affected by the organizational structure of the classroom.
41 CFR 109-27.102-52 - Implementation.
Code of Federal Regulations, 2011 CFR
2011-01-01
... initial feasibility study for the implementation of systems contracting shall perform such a study for selected commodity groups. The study may be accomplished over a period of time, until all commodity groups have been considered. The study should address functional requirements, activity levels of commodity...
NASA Astrophysics Data System (ADS)
Aghaei, Faranak; Ross, Stephen R.; Wang, Yunzhi; Wu, Dee H.; Cornwell, Benjamin O.; Ray, Bappaditya; Zheng, Bin
2017-03-01
Aneurysmal subarachnoid hemorrhage (aSAH) is a form of hemorrhagic stroke that affects middle-aged individuals and associated with significant morbidity and/or mortality especially those presenting with higher clinical and radiologic grades at the time of admission. Previous studies suggested that blood extravasated after aneurysmal rupture was a potentially clinical prognosis factor. But all such studies used qualitative scales to predict prognosis. The purpose of this study is to develop and test a new interactive computer-aided detection (CAD) tool to detect, segment and quantify brain hemorrhage and ventricular cerebrospinal fluid on non-contrasted brain CT images. First, CAD segments brain skull using a multilayer region growing algorithm with adaptively adjusted thresholds. Second, CAD assigns pixels inside the segmented brain region into one of three classes namely, normal brain tissue, blood and fluid. Third, to avoid "black-box" approach and increase accuracy in quantification of these two image markers using CT images with large noise variation in different cases, a graphic User Interface (GUI) was implemented and allows users to visually examine segmentation results. If a user likes to correct any errors (i.e., deleting clinically irrelevant blood or fluid regions, or fill in the holes inside the relevant blood or fluid regions), he/she can manually define the region and select a corresponding correction function. CAD will automatically perform correction and update the computed data. The new CAD tool is now being used in clinical and research settings to estimate various quantitatively radiological parameters/markers to determine radiological severity of aSAH at presentation and correlate the estimations with various homeostatic/metabolic derangements and predict clinical outcome.
An X-Ray Atlas of Groups of Galaxies
NASA Technical Reports Server (NTRS)
Mulchaey, John S.; Davis, David S.; Mushotzky, Richard F.; Burnstein, David
2003-01-01
A search was conducted for a hot intragroup medium in 10(exp 9) low-redshift galaxy groups observed with the ROSAT PSPC. Evidence for diffuse, extended X-ray emission is found in at least 61 groups. Approximately one-third of these detections have not been previously reported in the literature. Most of the groups are detected out to less than half of the virial radius with ROSAT. Although some spiral-rich groups do contain an intragroup medium, diffuse emission is restricted to groups that contain at least one early-type galaxy.
NASA Astrophysics Data System (ADS)
Wang, Xiao; Burghardt, Dirk
2018-05-01
This paper presents a new strategy for the generalization of discrete area features by using stroke grouping method and polarization transportation selection. The mentioned stroke is constructed on derive of the refined proximity graph of area features, and the refinement is under the control of four constraints to meet different grouping requirements. The area features which belong to the same stroke are detected into the same group. The stroke-based strategy decomposes the generalization process into two sub-processes by judging whether the area features related to strokes or not. For the area features which belong to the same one stroke, they normally present a linear like pat-tern, and in order to preserve this kind of pattern, typification is chosen as the operator to implement the generalization work. For the remaining area features which are not related by strokes, they are still distributed randomly and discretely, and the selection is chosen to conduct the generalization operation. For the purpose of retaining their original distribution characteristic, a Polarization Transportation (PT) method is introduced to implement the selection operation. Buildings and lakes are selected as the representatives of artificial area feature and natural area feature respectively to take the experiments. The generalized results indicate that by adopting this proposed strategy, the original distribution characteristics of building and lake data can be preserved, and the visual perception is pre-served as before.
Leski, Tomasz A.; Caswell, Clayton C.; Pawlowski, Marcin; Klinke, David J.; Bujnicki, Janusz M.; Hart, Sean J.; Lukomski, Slawomir
2009-01-01
The Bacillus cereus group includes three closely related species, B. anthracis, B. cereus, and B. thuringiensis, which form a highly homogeneous subdivision of the genus Bacillus. One of these species, B. anthracis, has been identified as one of the most probable bacterial biowarfare agents. Here, we evaluate the sequence and length polymorphisms of the Bacillus collagen-like protein bcl genes as a basis for B. anthracis detection and fingerprinting. Five genes, designated bclA to bclE, are present in B. anthracis strains. Examination of bclABCDE sequences identified polymorphisms in bclB alleles of the B. cereus group organisms. These sequence polymorphisms allowed specific detection of B. anthracis strains by PCR using both genomic DNA and purified Bacillus spores in reactions. By exploiting the length variation of the bcl alleles it was demonstrated that the combined bclABCDE PCR products generate markedly different fingerprints for the B. anthracis Ames and Sterne strains. Moreover, we predict that bclABCDE length polymorphism creates unique signatures for B. anthracis strains, which facilitates identification of strains with specificity and confidence. Thus, we present a new diagnostic concept for B. anthracis detection and fingerprinting, which can be used alone or in combination with previously established typing platforms. PMID:19767469
Internal quality control: planning and implementation strategies.
Westgard, James O
2003-11-01
The first essential in setting up internal quality control (IQC) of a test procedure in the clinical laboratory is to select the proper IQC procedure to implement, i.e. choosing the statistical criteria or control rules, and the number of control measurements, according to the quality required for the test and the observed performance of the method. Then the right IQC procedure must be properly implemented. This review focuses on strategies for planning and implementing IQC procedures in order to improve the quality of the IQC. A quantitative planning process is described that can be implemented with graphical tools such as power function or critical-error graphs and charts of operating specifications. Finally, a total QC strategy is formulated to minimize cost and maximize quality. A general strategy for IQC implementation is recommended that employs a three-stage design in which the first stage provides high error detection, the second stage low false rejection and the third stage prescribes the length of the analytical run, making use of an algorithm involving the average of normal patients' data.
Colorless ONU implementation for WDM-PON using direct-detection optical OFDM
NASA Astrophysics Data System (ADS)
Feng, Min; Luo, Qing-long; Bai, Cheng-lin
2013-03-01
A novel architecture for the colorless optical network unit (ONU) is proposed and experimentally demonstrated with direct-detection optical orthogonal frequency division multiplexing (DDO-OFDM). In this architecture, polarization-division multiplexing is used to reduce the cost at ONU. In optical line terminal (OLT), quadrature amplitude modulation (QAM) intensity-modulated OFDM signal with x-polarization at 10 Gbit/s is transmitted as downstream. At each ONU, the optical OFDM signal is demodulated with direct detection, and γ-polarization signal is modulated for upstream on-off keying (OOK) data at 5 Gbit/s. Simulation results show that the power penalty is negligible for both optical OFDM downstream and the on-off keying upstream signals after over 50 km single-mode fiber (SMF) transmission.
NASA Astrophysics Data System (ADS)
Hibert, C.; Michéa, D.; Provost, F.; Malet, J. P.; Geertsema, M.
2017-12-01
Detection of landslide occurrences and measurement of their dynamics properties during run-out is a high research priority but a logistical and technical challenge. Seismology has started to help in several important ways. Taking advantage of the densification of global, regional and local networks of broadband seismic stations, recent advances now permit the seismic detection and location of landslides in near-real-time. This seismic detection could potentially greatly increase the spatio-temporal resolution at which we study landslides triggering, which is critical to better understand the influence of external forcings such as rainfalls and earthquakes. However, detecting automatically seismic signals generated by landslides still represents a challenge, especially for events with small mass. The low signal-to-noise ratio classically observed for landslide-generated seismic signals and the difficulty to discriminate these signals from those generated by regional earthquakes or anthropogenic and natural noises are some of the obstacles that have to be circumvented. We present a new method for automatically constructing instrumental landslide catalogues from continuous seismic data. We developed a robust and versatile solution, which can be implemented in any context where a seismic detection of landslides or other mass movements is relevant. The method is based on a spectral detection of the seismic signals and the identification of the sources with a Random Forest machine learning algorithm. The spectral detection allows detecting signals with low signal-to-noise ratio, while the Random Forest algorithm achieve a high rate of positive identification of the seismic signals generated by landslides and other seismic sources. The processing chain is implemented to work in a High Performance Computers centre which permits to explore years of continuous seismic data rapidly. We present here the preliminary results of the application of this processing chain for years
Parametric Amplification For Detecting Weak Optical Signals
NASA Technical Reports Server (NTRS)
Hemmati, Hamid; Chen, Chien; Chakravarthi, Prakash
1996-01-01
Optical-communication receivers of proposed type implement high-sensitivity scheme of optical parametric amplification followed by direct detection for reception of extremely weak signals. Incorporates both optical parametric amplification and direct detection into optimized design enhancing effective signal-to-noise ratios during reception in photon-starved (photon-counting) regime. Eliminates need for complexity of heterodyne detection scheme and partly overcomes limitations imposed on older direct-detection schemes by noise generated in receivers and by limits on quantum efficiencies of photodetectors.
Infrared small target detection technology based on OpenCV
NASA Astrophysics Data System (ADS)
Liu, Lei; Huang, Zhijian
2013-05-01
Accurate and fast detection of infrared (IR) dim target has very important meaning for infrared precise guidance, early warning, video surveillance, etc. In this paper, some basic principles and the implementing flow charts of a series of algorithms for target detection are described. These algorithms are traditional two-frame difference method, improved three-frame difference method, background estimate and frame difference fusion method, and building background with neighborhood mean method. On the foundation of above works, an infrared target detection software platform which is developed by OpenCV and MFC is introduced. Three kinds of tracking algorithms are integrated in this software. In order to explain the software clearly, the framework and the function are described in this paper. At last, the experiments are performed for some real-life IR images. The whole algorithm implementing processes and results are analyzed, and those algorithms for detection targets are evaluated from the two aspects of subjective and objective. The results prove that the proposed method has satisfying detection effectiveness and robustness. Meanwhile, it has high detection efficiency and can be used for real-time detection.
Infrared small target detection technology based on OpenCV
NASA Astrophysics Data System (ADS)
Liu, Lei; Huang, Zhijian
2013-09-01
Accurate and fast detection of infrared (IR) dim target has very important meaning for infrared precise guidance, early warning, video surveillance, etc. In this paper, some basic principles and the implementing flow charts of a series of algorithms for target detection are described. These algorithms are traditional two-frame difference method, improved three-frame difference method, background estimate and frame difference fusion method, and building background with neighborhood mean method. On the foundation of above works, an infrared target detection software platform which is developed by OpenCV and MFC is introduced. Three kinds of tracking algorithms are integrated in this software. In order to explain the software clearly, the framework and the function are described in this paper. At last, the experiments are performed for some real-life IR images. The whole algorithm implementing processes and results are analyzed, and those algorithms for detection targets are evaluated from the two aspects of subjective and objective. The results prove that the proposed method has satisfying detection effectiveness and robustness. Meanwhile, it has high detection efficiency and can be used for real-time detection.
Sheffield, William P; Bhakta, Varsha; Branch, Donald R; Denomme, Gregory A
2006-12-01
Detecting blood group-specific antibodies in patient sera is essential to the management of blood transfusions or pregnancies. We produced the antithetical forms of the 65 amino acid extracellular domain (ECD) of the Duffy (Fy) blood group protein fused to glutathione sulfotransferase (GST): GST-Fy(a); and GST-Fy(b), differing only in Gly or Asp at position 44, respectively. The purified recombinant proteins were recognized more effectively by reference polyclonal or monoclonal antibodies than the antithetical Fy specificity by either ELISA or immunoblotting. Combined immunoblot and ELISA tests performed at 1:200 dilutions of sera using the recombinant proteins gave results in agreement with undiluted sera and agglutination for 17/19 alloimmunized patients. At 1:200, agglutination detected anti-Fy(a) or anti-Fy(b) in only three of 12 samples that were positive by ELISA. Recombinant ECD-Fy proteins are suitable and sensitive reagents for the detection of anti-Fy that use technology amenable to automation and/or miniaturization and avoid the need for intact red cells.
Single step signal group-imidazole labeling of organic phosphate groups under aqueous conditions
Giese, Roger W.; Wang, Poguang
1996-01-01
Compounds and methods for single step, covalent labeling of the phosphate group of an organic substance under aqueous conditions are described. The labeling compound includes any kind of detectable signal group covalently bound to an imidazole moiety, which can be imidazole or a substituted imidazole. A preferred labeling compound has the formula ##STR1##
Multimodal technique to eliminate humidity interference for specific detection of ethanol.
Jalal, Ahmed Hasnain; Umasankar, Yogeswaran; Gonzalez, Pablo J; Alfonso, Alejandro; Bhansali, Shekhar
2017-01-15
Multimodal electrochemical technique incorporating both open circuit potential (OCP) and amperometric techniques have been conceptualized and implemented to improve the detection of specific analyte in systems where more than one analyte is present. This approach has been demonstrated through the detection of ethanol while eliminating the contribution of water in a micro fuel cell sensor system. The sensor was interfaced with LMP91000 potentiostat, controlled through MSP430F5529LP microcontroller to implement an auto-calibration algorithm tailored to improve the detection of alcohol. The sensor was designed and fabricated as a three electrode system with Nafion as a proton exchange membrane (PEM). The electrochemical signal of the interfering phase (water) was eliminated by implementing the multimodal electrochemical detection technique. The results were validated by comparing sensor and potentiostat performances with a commercial sensor and potentiostat respectively. The results suggest that such a sensing system can detect ethanol at concentrations as low as 5ppm. The structure and properties such as low detection limit, selectivity and miniaturized size enables potential application of this device in wearable transdermal alcohol measurements. Copyright © 2016 Elsevier B.V. All rights reserved.
Measuring Implementation Fidelity in a Community-Based Parenting Intervention
Breitenstein, Susan M.; Fogg, Louis; Garvey, Christine; Hill, Carri; Resnick, Barbara; Gross, Deborah
2012-01-01
Background Establishing the feasibility and validity of implementation fidelity monitoring strategies is an important methodological step in implementing evidence-based interventions on a large scale. Objectives The objective of the study was to examine the reliability and validity of the Fidelity Checklist, a measure designed to assess group leader adherence and competence delivering a parent training intervention (the Chicago Parent Program) in child care centers serving low-income families. Method The sample included 9 parent groups (12 group sessions each), 12 group leaders, and 103 parents. Independent raters reviewed 106 audiotaped parent group sessions and coded group leaders’ fidelity on the Adherence and Competence Scales of the Fidelity Checklist. Group leaders completed self-report adherence checklists and a measure of parent engagement in the intervention. Parents completed measures of consumer satisfaction and child behavior. Results High interrater agreement (Adherence Scale = 94%, Competence Scale = 85%) and adequate intraclass correlation coefficients (Adherence Scale = .69, Competence Scale = .91) were achieved for the Fidelity Checklist. Group leader adherence changed over time, but competence remained stable. Agreement between group leader self-report and independent ratings on the Adherence Scale was 85%; disagreements were more frequently due to positive bias in group leader self-report. Positive correlations were found between group leader adherence and parent attendance and engagement in the intervention and between group leader competence and parent satisfaction. Although child behavior problems improved, improvements were not related to fidelity. Discussion The results suggest that the Fidelity Checklist is a feasible, reliable, and valid measure of group leader implementation fidelity in a group-based parenting intervention. Future research will be focused on testing the Fidelity Checklist with diverse and larger samples and generalizing
Tilley, Colin; McIntosh, Emma; Bahrami, Maryam; Clarkson, Jan; Deery, Chris; Pitts, Nigel
2005-07-01
To compare the cost-effectiveness of four third molar guideline implementation strategies. Fifty-one dental practices in Scotland were randomized to one of four implementation strategies. The effectiveness of the strategies was measured by general dental practitioners' compliance with the guideline. The effectiveness of the guideline depended crucially upon the type of patient treated. In particular, for a minority of patients (14%) with no clinical signals of their 'type', the implementation strategies generate potentially large gains in evidence-based practice. However, the cost per patient of achieving these gains is large given that the costs are incurred for all patients, but benefits accrue only to a minority. The results show that the type of patient presenting for treatment can influence the effectiveness, cost-effectiveness and therefore policy conclusions. Consequently, the design and analysis of studies need to be sufficiently sensitive to detect subtle interaction effects. This may explain the dearth of guideline implementation trials with significant findings. The results also suggest that a more cost-effective implementation method in primary care dentistry may be to subsidize treatment conditional upon patient type.
2006-09-01
STELLA and PowerLoomn. These modules comunicate with a knowledge basec using KIF and stan(lardl relational database systelnis using either standard...groups ontology as well as a rule that infers additional seed members based on joint participation in a terrorism event. EDB schema files are a special... terrorism links from the Ali Baba EDB. Our interpretation of such links is that they KOJAK Manual E-42 encode that two people committed an act of
Implementing a Group Contingency Behavior-Management System in Physical Education
ERIC Educational Resources Information Center
Healy, Sean; Hirsch, Shanna E.; Lloyd, John W.
2017-01-01
Behavior management issues may impede learning in physical education (PE), yet there is a paucity of evidence-based behavior-management programs studied in the PE environment to assist PE teachers to be better prepared to handle these issues. Classwide-function intervention teams (CW-FIT) is a group contingency procedure for managing student…
Detecting and Characterizing Semantic Inconsistencies in Ported Code
NASA Technical Reports Server (NTRS)
Ray, Baishakhi; Kim, Miryung; Person,Suzette; Rungta, Neha
2013-01-01
Adding similar features and bug fixes often requires porting program patches from reference implementations and adapting them to target implementations. Porting errors may result from faulty adaptations or inconsistent updates. This paper investigates (1) the types of porting errors found in practice, and (2) how to detect and characterize potential porting errors. Analyzing version histories, we define five categories of porting errors, including incorrect control- and data-flow, code redundancy, inconsistent identifier renamings, etc. Leveraging this categorization, we design a static control- and data-dependence analysis technique, SPA, to detect and characterize porting inconsistencies. Our evaluation on code from four open-source projects shows that SPA can detect porting inconsistencies with 65% to 73% precision and 90% recall, and identify inconsistency types with 58% to 63% precision and 92% to 100% recall. In a comparison with two existing error detection tools, SPA improves precision by 14 to 17 percentage points.
Yuan, Zhongshang; Ji, Jiadong; Zhang, Tao; Liu, Yi; Zhang, Xiaoshuai; Chen, Wei; Xue, Fuzhong
2016-12-20
Traditional epidemiology often pays more attention to the identification of a single factor rather than to the pathway that is related to a disease, and therefore, it is difficult to explore the disease mechanism. Systems epidemiology aims to integrate putative lifestyle exposures and biomarkers extracted from multiple omics platforms to offer new insights into the pathway mechanisms that underlie disease at the human population level. One key but inadequately addressed question is how to develop powerful statistics to identify whether one candidate pathway is associated with a disease. Bearing in mind that a pathway difference can result from not only changes in the nodes but also changes in the edges, we propose a novel statistic for detecting group differences between pathways, which in principle, captures the nodes changes and edge changes, as well as simultaneously accounting for the pathway structure simultaneously. The proposed test has been proven to follow the chi-square distribution, and various simulations have shown it has better performance than other existing methods. Integrating genome-wide DNA methylation data, we analyzed one real data set from the Bogalusa cohort study and significantly identified a potential pathway, Smoking → SOCS3 → PIK3R1, which was strongly associated with abdominal obesity. The proposed test was powerful and efficient at identifying pathway differences between two groups, and it can be extended to other disciplines that involve statistical comparisons between pathways. The source code in R is available on our website. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.
Academic Success Support Groups.
ERIC Educational Resources Information Center
Halstead, Richard
1998-01-01
Describes a five-week group counseling program designed to help students adopt behaviors that can lead to greater academic success. Phases of the program are (1) institution and professor bashing; (2) member confrontation and accepting responsibility; (3) implementation of success strategies; (4) future pacing. Discusses results and implications.…
Single step signal group-imidazole labeling of organic phosphate groups under aqueous conditions
Giese, R.W.; Wang, P.
1996-04-30
Compounds and methods for single step, covalent labeling of the phosphate group of an organic substance under aqueous conditions are described. The labeling compound includes any kind of detectable signal group covalently bound to an imidazole moiety, which can be imidazole or a substituted imidazole. A preferred labeling compound has the formula shown in the accompanying diagram. 4 figs.
Summary of small group discussions: Detection of forest degradation drivers
Patricia Manley
2013-01-01
Workshop participants were asked to address sets of questions in small group discussions, which were subsequently brought to the entire group for discussion. The first set of questions was directed at identifying a set of degradation activities that could be a primary focus for developing or refining methods and techniques for monitoring:
Noncoherent detection of periodic signals
NASA Technical Reports Server (NTRS)
Gagliardi, R. M.
1974-01-01
The optimal Bayes detector for a general periodic waveform having uniform delay and additive white Gaussian noise is examined. It is shown that the detector is much more complex than that for the well known cases of pure sine waves (i.e. classical noncoherent detection) and narrowband signals. An interpretation of the optimal processing is presented, and several implementations are discussed. The results have application to the noncoherent detection of optical square waves.
A Mode-Shape-Based Fault Detection Methodology for Cantilever Beams
NASA Technical Reports Server (NTRS)
Tejada, Arturo
2009-01-01
An important goal of NASA's Internal Vehicle Health Management program (IVHM) is to develop and verify methods and technologies for fault detection in critical airframe structures. A particularly promising new technology under development at NASA Langley Research Center is distributed Bragg fiber optic strain sensors. These sensors can be embedded in, for instance, aircraft wings to continuously monitor surface strain during flight. Strain information can then be used in conjunction with well-known vibrational techniques to detect faults due to changes in the wing's physical parameters or to the presence of incipient cracks. To verify the benefits of this technology, the Formal Methods Group at NASA LaRC has proposed the use of formal verification tools such as PVS. The verification process, however, requires knowledge of the physics and mathematics of the vibrational techniques and a clear understanding of the particular fault detection methodology. This report presents a succinct review of the physical principles behind the modeling of vibrating structures such as cantilever beams (the natural model of a wing). It also reviews two different classes of fault detection techniques and proposes a particular detection method for cracks in wings, which is amenable to formal verification. A prototype implementation of these methods using Matlab scripts is also described and is related to the fundamental theoretical concepts.
Jacobs, Sara R; Weiner, Bryan J; Reeve, Bryce B; Hofmann, David A; Christian, Michael; Weinberger, Morris
2015-01-22
The failure rates for implementing complex innovations in healthcare organizations are high. Estimates range from 30% to 90% depending on the scope of the organizational change involved, the definition of failure, and the criteria to judge it. The innovation implementation framework offers a promising approach to examine the organizational factors that determine effective implementation. To date, the utility of this framework in a healthcare setting has been limited to qualitative studies and/or group level analyses. Therefore, the goal of this study was to quantitatively examine this framework among individual participants in the National Cancer Institute's Community Clinical Oncology Program using structural equation modeling. We examined the innovation implementation framework using structural equation modeling (SEM) among 481 physician participants in the National Cancer Institute's Community Clinical Oncology Program (CCOP). The data sources included the CCOP Annual Progress Reports, surveys of CCOP physician participants and administrators, and the American Medical Association Physician Masterfile. Overall the final model fit well. Our results demonstrated that not only did perceptions of implementation climate have a statistically significant direct effect on implementation effectiveness, but physicians' perceptions of implementation climate also mediated the relationship between organizational implementation policies and practices (IPP) and enrollment (p <0.05). In addition, physician factors such as CCOP PI status, age, radiological oncologists, and non-oncologist specialists significantly influenced enrollment as well as CCOP organizational size and structure, which had indirect effects on implementation effectiveness through IPP and implementation climate. Overall, our results quantitatively confirmed the main relationship postulated in the innovation implementation framework between IPP, implementation climate, and implementation effectiveness among
Implementation of a General Real-Time Visual Anomaly Detection System Via Soft Computing
NASA Technical Reports Server (NTRS)
Dominguez, Jesus A.; Klinko, Steve; Ferrell, Bob; Steinrock, Todd (Technical Monitor)
2001-01-01
The intelligent visual system detects anomalies or defects in real time under normal lighting operating conditions. The application is basically a learning machine that integrates fuzzy logic (FL), artificial neural network (ANN), and generic algorithm (GA) schemes to process the image, run the learning process, and finally detect the anomalies or defects. The system acquires the image, performs segmentation to separate the object being tested from the background, preprocesses the image using fuzzy reasoning, performs the final segmentation using fuzzy reasoning techniques to retrieve regions with potential anomalies or defects, and finally retrieves them using a learning model built via ANN and GA techniques. FL provides a powerful framework for knowledge representation and overcomes uncertainty and vagueness typically found in image analysis. ANN provides learning capabilities, and GA leads to robust learning results. An application prototype currently runs on a regular PC under Windows NT, and preliminary work has been performed to build an embedded version with multiple image processors. The application prototype is being tested at the Kennedy Space Center (KSC), Florida, to visually detect anomalies along slide basket cables utilized by the astronauts to evacuate the NASA Shuttle launch pad in an emergency. The potential applications of this anomaly detection system in an open environment are quite wide. Another current, potentially viable application at NASA is in detecting anomalies of the NASA Space Shuttle Orbiter's radiator panels.
Walter, Jens; Hertel, Christian; Tannock, Gerald W.; Lis, Claudia M.; Munro, Karen; Hammes, Walter P.
2001-01-01
Denaturing gradient gel electrophoresis (DGGE) of DNA fragments generated by PCR with 16S ribosomal DNA-targeted group-specific primers was used to detect lactic acid bacteria (LAB) of the genera Lactobacillus, Pediococcus, Leuconostoc, and Weissella in human feces. Analysis of fecal samples of four subjects revealed individual profiles of DNA fragments originating not only from species that have been described as intestinal inhabitants but also from characteristically food-associated bacteria such as Lactobacillus sakei, Lactobacillus curvatus, Leuconostoc mesenteroides, and Pediococcus pentosaceus. Comparison of PCR-DGGE results with those of bacteriological culture showed that the food-associated species could not be cultured from the fecal samples by plating on Rogosa agar. On the other hand, all of the LAB species cultured from feces were detected in the DGGE profile. We also detected changes in the types of LAB present in human feces during consumption of a milk product containing the probiotic strain Lactobacillus rhamnosus DR20. The analysis of fecal samples from two subjects taken before, during, and after administration of the probiotic revealed that L. rhamnosus was detectable by PCR-DGGE during the test period in the feces of both subjects, whereas it was detectable by culture in only one of the subjects. PMID:11375166
Contingency Contractor Optimization Phase 3 Sustainment Cost by JCA Implementation Guide
DOE Office of Scientific and Technical Information (OSTI.GOV)
Durfee, Justin David; Frazier, Christopher Rawls; Arguello, Bryan
This document provides implementation guidance for implementing personnel group FTE costs by JCA Tier 1 or 2 categories in the Contingency Contractor Optimization Tool – Engineering Prototype (CCOT-P). CCOT-P currently only allows FTE costs by personnel group to differ by mission. Changes will need to be made to the user interface inputs pages and the database
Implementing Bilingual Pattern Practice
ERIC Educational Resources Information Center
Scheffler, Pawel
2016-01-01
This article describes how semi-communicative bilingual drills were implemented in a four-month course in pedagogical English for a group of ten Polish adult learners. When the course was over, the learners were asked to evaluate the procedure by filling in a questionnaire. The learners expressed overwhelming approval for bilingual drills in terms…
Automatic polyp detection in colonoscopy videos
NASA Astrophysics Data System (ADS)
Yuan, Zijie; IzadyYazdanabadi, Mohammadhassan; Mokkapati, Divya; Panvalkar, Rujuta; Shin, Jae Y.; Tajbakhsh, Nima; Gurudu, Suryakanth; Liang, Jianming
2017-02-01
Colon cancer is the second cancer killer in the US [1]. Colonoscopy is the primary method for screening and prevention of colon cancer, but during colonoscopy, a significant number (25% [2]) of polyps (precancerous abnormal growths inside of the colon) are missed; therefore, the goal of our research is to reduce the polyp miss-rate of colonoscopy. This paper presents a method to detect polyp automatically in a colonoscopy video. Our system has two stages: Candidate generation and candidate classification. In candidate generation (stage 1), we chose 3,463 frames (including 1,718 with-polyp frames) from real-time colonoscopy video database. We first applied processing procedures, namely intensity adjustment, edge detection and morphology operations, as pre-preparation. We extracted each connected component (edge contour) as one candidate patch from the pre-processed image. With the help of ground truth (GT) images, 2 constraints were implemented on each candidate patch, dividing and saving them into polyp group and non-polyp group. In candidate classification (stage 2), we trained and tested convolutional neural networks (CNNs) with AlexNet architecture [3] to classify each candidate into with-polyp or non-polyp class. Each with-polyp patch was processed by rotation, translation and scaling for invariant to get a much robust CNNs system. We applied leave-2-patients-out cross-validation on this model (4 of 6 cases were chosen as training set and the rest 2 were as testing set). The system accuracy and sensitivity are 91.47% and 91.76%, respectively.
[Detection and analysis of anti-Rh blood group antibodies].
Wu, Yuan-jun; Wu, Yong; Chen, Bao-chan; Liu, Yan
2008-06-01
To study the prevalence and distribution of anti-Rh blood group antibodies in Chinese population and its clinical significance. Irregular antibodies were screened and identified by Microcolum Gel Coomb's test. For those identified as positive anti-Rh samples, monoclonal antibodies (anti-D, -C, -c, -E and -e) were used to identify the specific antigen and confirm the accuracy of the irregular antibody tests. The titers, Ig-types and 37 Degrees Celsius-reactivity were tested to confirm its clinical significance. For evaluation of the origin of irregular antibodies, histories of pregnancy and transfusion were reviewed. For the newborns who had positive antibodies, their mothers were tested simultaneously to confirm the origin of the antibodies. 47 out of 54 000 (0.087%) patients were identified as positive with Rh blood group antibodies.Of them, 27 cases had history of pregnancy, 13 had transfusion and 1 had the histories of both. 6 newborns had antibodies derived form their mothers. The specificity of the antibody was as follows: 29 with anti-E (61.70%), 8 with anti-D (17.02%), anti-cE 5(10.64%), 4 with anti-c (8.51%) and 1 with anti-C (2.13%). All the 47 Rh blood group antibodies were IgG or IgG+IgM, and were reactive to red blood cells with corresponding antigens at 37 Degrees Celsius, with a highest titer of 1:4 096. The prevalence of Rh antibodies is lower in Chinese population as compared with that in White population.Of all the antibodies, anti-E is most frequently identified and anti-D was declining. Alloimmunization by pregnancy and transfusion is the major cause of Rh antibody production. Rh blood group antibodies derived from mothers are the major cause of Non-ABO-HDN.
Vlemmix, Floortje; Rosman, Ageeth N; Fleuren, Margot A H; Rijnders, Marlies E B; Beuckens, Antje; Haak, Monique C; Akerboom, Bettina M C; Bais, Joke M J; Kuppens, Simone M I; Papatsonis, Dimitri N; Opmeer, Brent C; van der Post, Joris A M; Mol, Ben Willem J; Kok, Marjolein
2010-05-10
Breech presentation occurs in 3 to 4% of all term pregnancies. External cephalic version (ECV) is proven effective to prevent vaginal breech deliveries and therefore it is recommended by clinical guidelines of the Royal Dutch Organisation for Midwives (KNOV) and the Dutch Society for Obstetrics and Gynaecology (NVOG). Implementation of ECV does not exceed 50 to 60% and probably less.We aim to improve the implementation of ECV to decrease maternal and neonatal morbidity and mortality due to breech presentations. This will be done by defining barriers and facilitators of implementation of ECV in the Netherlands. An innovative implementation strategy will be developed based on improved patient counselling and thorough instructions of health care providers for counselling. The ultimate purpose of this implementation study is to improve counselling of pregnant women and information of clinicians to realize a better implementation of ECV.The first phase of the project is to detect the barriers and facilitators of ECV. The next step is to develop an implementation strategy to inform and counsel pregnant women with a breech presentation, and to inform and educate care providers. In the third phase, the effectiveness of the developed implementation strategy will be evaluated in a randomised trial. The study population is a random selection of midwives and gynaecologists from 60 to 100 hospitals and practices. Primary endpoints are number of counselled women. Secondary endpoints are process indicators, the amount of fetes in cephalic presentation at birth, complications due to ECV, the number of caesarean sections and perinatal condition of mother and child. Cost effectiveness of the implementation strategy will be measured. This study will provide evidence for the cost effectiveness of a structural implementation of external cephalic versions to reduce the number of breech presentations at term. Dutch Trial Register (NTR): 1878.
2010-01-01
Background Breech presentation occurs in 3 to 4% of all term pregnancies. External cephalic version (ECV) is proven effective to prevent vaginal breech deliveries and therefore it is recommended by clinical guidelines of the Royal Dutch Organisation for Midwives (KNOV) and the Dutch Society for Obstetrics and Gynaecology (NVOG). Implementation of ECV does not exceed 50 to 60% and probably less. We aim to improve the implementation of ECV to decrease maternal and neonatal morbidity and mortality due to breech presentations. This will be done by defining barriers and facilitators of implementation of ECV in the Netherlands. An innovative implementation strategy will be developed based on improved patient counselling and thorough instructions of health care providers for counselling. Method/design The ultimate purpose of this implementation study is to improve counselling of pregnant women and information of clinicians to realize a better implementation of ECV. The first phase of the project is to detect the barriers and facilitators of ECV. The next step is to develop an implementation strategy to inform and counsel pregnant women with a breech presentation, and to inform and educate care providers. In the third phase, the effectiveness of the developed implementation strategy will be evaluated in a randomised trial. The study population is a random selection of midwives and gynaecologists from 60 to 100 hospitals and practices. Primary endpoints are number of counselled women. Secondary endpoints are process indicators, the amount of fetes in cephalic presentation at birth, complications due to ECV, the number of caesarean sections and perinatal condition of mother and child. Cost effectiveness of the implementation strategy will be measured. Discussion This study will provide evidence for the cost effectiveness of a structural implementation of external cephalic versions to reduce the number of breech presentations at term. Trial Registration Dutch Trial Register
Teh, L K; Lee, W L; Amir, J; Salleh, M Z; Ismail, R
2007-06-01
P-glycoprotein (PgP) is the most extensively studied ATP-binding cassette (ABC) coded by MDR1 gene. To date, 29 single nucleotide polymorphisms (SNPs) have been identified; but only SNP C3435T has been correlated with intestinal PgP expression levels and shown to influence the absorption of orally taken drugs that are PgP substrates. Individuals homozygous for the T allele have more than fourfold lower PgP expression compared with C/C individuals. We developed a one step primer based allele specific PCR method to detect SNP at C3435T to investigate the distribution of this genotype in the local population. DNA was extracted from 5 mL of whole blood using standard salting-out method. Primers were designed specific to 3' end which amplify the variants of C3435T. The method was validated by direct DNA sequencing. Seven hundred and sixty-three healthy blood donors comprising of three major ethnic groups in Malaysia were recruited and DNA subjected to genotyping of C3435T using this method. The method was found to be robust and reproducible in detecting SNP of C3435T. Interethnic variations in genotype and allele frequency were observed in PgP among the ethnic groups. In comparison to both the Caucasians and the other Asian countries, the Malay and Chinese showed a higher frequency of allele C (50-60%); while the Indian exhibits a lower frequency (40%), similar to other Indian populations. Using a new simple method to investigate the distribution of C3435T, we found that the allele frequency of MDR1 showed variablity between the different ethnic groups within the Malaysian population.
Hazard detection and avoidance sensor for NASA's planetary landers
NASA Technical Reports Server (NTRS)
Lau, Brian; Chao, Tien-Hsin
1992-01-01
An optical terrain analysis based sensor system specifically designed for landing hazard detection as required for NASA's autonomous planetary landers is introduced. This optical hazard detection and avoidance (HDA) sensor utilizes an optoelectronic wedge-and-ting (WRD) filter for Fourier transformed feature extraction and an electronic neural network processor for pattern classification. A fully implemented optical HDA sensor would assure safe landing of the planetary landers. Computer simulation results of a successful feasibility study is reported. Future research for hardware system implementation is also provided.
Berendonk, Christoph; Schirlo, Christian; Balestra, Gianmarco; Bonvin, Raphael; Feller, Sabine; Huber, Philippe; Jünger, Ernst; Monti, Matteo; Schnabel, Kai; Beyeler, Christine; Guttormsen, Sissel; Huwendiek, Sören
2015-01-01
Objective: Since 2011, the new national final examination in human medicine has been implemented in Switzerland, with a structured clinical-practical part in the OSCE format. From the perspective of the national Working Group, the current article describes the essential steps in the development, implementation and evaluation of the Federal Licensing Examination Clinical Skills (FLE CS) as well as the applied quality assurance measures. Finally, central insights gained from the last years are presented. Methods: Based on the principles of action research, the FLE CS is in a constant state of further development. On the foundation of systematically documented experiences from previous years, in the Working Group, unresolved questions are discussed and resulting solution approaches are substantiated (planning), implemented in the examination (implementation) and subsequently evaluated (reflection). The presented results are the product of this iterative procedure. Results: The FLE CS is created by experts from all faculties and subject areas in a multistage process. The examination is administered in German and French on a decentralised basis and consists of twelve interdisciplinary stations per candidate. As important quality assurance measures, the national Review Board (content validation) and the meetings of the standardised patient trainers (standardisation) have proven worthwhile. The statistical analyses show good measurement reliability and support the construct validity of the examination. Among the central insights of the past years, it has been established that the consistent implementation of the principles of action research contributes to the successful further development of the examination. Conclusion: The centrally coordinated, collaborative-iterative process, incorporating experts from all faculties, makes a fundamental contribution to the quality of the FLE CS. The processes and insights presented here can be useful for others planning a similar
NASA Astrophysics Data System (ADS)
Farreras, Salvador; Ortiz, Modesto; Gonzalez, Juan I.
2007-03-01
The highly vulnerable Pacific southwest coast of Mexico has been repeatedly affected by local, regional and remote source tsunamis. Mexico presently has no national tsunami warning system in operation. The implementation of key elements of a National Program on Tsunami Detection, Monitoring, Warning and Mitigation is in progress. For local and regional events detection and monitoring, a prototype of a robust and low cost high frequency sea-level tsunami gauge, sampling every minute and equipped with 24 hours real time transmission to the Internet, was developed and is currently in operation. Statistics allow identification of low, medium and extreme hazard categories of arriving tsunamis. These categories are used as prototypes for computer simulations of coastal flooding. A finite-difference numerical model with linear wave theory for the deep ocean propagation, and shallow water nonlinear one for the near shore and interaction with the coast, and non-fixed boundaries for flooding and recession at the coast, is used. For prevention purposes, tsunami inundation maps for several coastal communities, are being produced in this way. The case of the heavily industrialized port of Lázaro Cárdenas, located on the sand shoals of a river delta, is illustrated; including a detailed vulnerability assessment study. For public education on preparedness and awareness, printed material for children and adults has been developed and published. It is intended to extend future coverage of this program to the Mexican Caribbean and Gulf of Mexico coastal areas.
Kerrissey, Michaela; Satterstrom, Patricia; Leydon, Nicholas; Schiff, Gordon; Singer, Sara
How some organizations improve while others remain stagnant is a key question in health care research. Studies identifying how organizations can implement improvement despite barriers are needed, particularly in primary care. This inductive qualitative study examines primary care clinics implementing improvement efforts in order to identify mechanisms that enable implementation despite common barriers, such as lack of time and fragmentation across stakeholder groups. Using an embedded multiple case study design, we leverage a longitudinal data set of field notes, meeting minutes, and interviews from 16 primary care clinics implementing improvement over 15 months. We segment clinics into those that implemented more versus those that implemented less, comparing similarities and differences. We identify interpersonal mechanisms promoting implementation, develop a conceptual model of our key findings, and test the relationship with performance using patient surveys conducted pre-/post-implementation. Nine clinics implemented more successfully over the study period, whereas seven implemented less. Successfully implementing clinics exhibited the managerial practice of integrating, which we define as achieving unity of effort among stakeholder groups in the pursuit of a shared and mutually developed goal. We theorize that integrating is critical in improvement implementation because of the fragmentation observed in health care settings, and we extend theory about clinic managers' role in implementation. We identify four integrating mechanisms that clinic managers enacted: engaging groups, bridging communication, sensemaking, and negotiating. The mean patient survey results for integrating clinics improved by 0.07 units over time, whereas the other clinics' survey scores declined by 0.08 units on a scale of 5 (p = .02). Our research explores an understudied element of how clinics can implement improvement despite barriers: integrating stakeholders within and outside the
Stoutenberg, Mark; Falcon, Ashley; Arheart, Kris; Stasi, Selina; Portacio, Francia; Stepanenko, Bryan; Lan, Mary L; Castruccio-Prince, Catarina; Nackenson, Joshua
2017-06-01
Lifestyle modification programs improve several health-related behaviors, including physical activity (PA) and nutrition. However, few of these programs have been expanded to impact a large number of individuals in one setting at one time. Therefore, the purpose of this study was to determine whether a PA- and nutrition-based lifestyle modification program could be effectively conducted using a large group format in a community-based setting. One hundred twenty-one participants enrolled in a 16-week, community-based lifestyle modification program and separated in small teams of 13 to 17 individuals. Height, weight, fruit and vegetable (FAV) consumption, physical fitness, and several psychosocial measures were assessed before and after the program. Significant improvements in 6-minute walk distance (+68.3 m; p < .001), chair stands (+6.7 repetitions; p < .001), FAV servings (+1.8 servings/day; p < .001), body weight (-3.2 lbs; p < .001), as well as PA social support and eating habits self-efficacy were observed. Our lifestyle modification program was also successful in shifting participants to higher levels of stages of change for nutrition and PA, increasing overall levels of self-efficacy for healthy eating, and improving levels of social support for becoming more active. A lifestyle modification program can be successfully implemented in a community setting using a large group format to improve PA and FAV attitudes and behaviors.
Working Group 1: Software System Design and Implementation for Environmental Modeling
ISCMEM Working Group One Presentation, presentation with the purpose of fostering the exchange of information about environmental modeling tools, modeling frameworks, and environmental monitoring databases.
Lewin, Warren; Knäuper, Bärbel; Roseman, Michelle; Adler, Perry; Malus, Michael
2009-07-01
To assess the efficacy of a previsit questionnaire (PVQ), implemented without formal training, that was designed to screen for biomedical and psychosocial health issues and concerns among adolescent patients in a hospital-based primary care clinic, and to examine the subsequent action taken for health issues and concerns identified with the PVQ. Retrospective review of adolescent medical charts, using a pre-post design. An outpatient primary care clinic located in an urban teaching hospital in Montreal, Que. A total of 210 adolescent patients aged 13 to 19 who visited the clinic between 2000 and 2004. The type (medical vs psychosocial) and number of issues detected and actions taken by physicians in one-to-one consultations with adolescent patients 2 years before (2000-2002) and 2 years after (2002-2004) PVQ implementation, as noted in the patients' medical charts. In total, 105 charts were reviewed for each group. An increase in the number of psychosocial issues was detected following the introduction of the PVQ. An increase in the frequency of action taken for psychosocial concerns and a decrease in the frequency of medical action taken by physicians were found after PVQ implementation. More notations related to psychosocial concerns were also found in the adolescents' charts after introduction of the PVQ. A PVQ is an effective strategy to improve adolescent screening for psychosocial issues and concerns. Implementing such a questionnaire requires no training and can therefore be easily incorporated into clinical practice.
Ascunze Elizaga, N; González Enríquez, J; González Navarro, A; Herranz Fernández, C; Marqués Bravo, A; Martín Pérez, J
1993-01-01
Cancer screening and primary prevention of cancer are effective strategies to reduce cancer morbidity and mortality. The experience gained in several European countries about breast and cervical cancer has been growing in the last decades. This fact facilitates the adoption of the most convenient strategies to implement screening programmes in Spain. The Spanish Ministry of Health and Consumer Affairs set up a work group of experts and health managers to make recommendations and to define the basic criteria to take into account when planning and implementing these programmes. The article describes those recommendations as well as the priorities to be established regarding the target population, and the strategies to increase efficiency of those programmes. Recommendations were made according with scientific evidences and the current situation and resources in Spain.
School-Based Adolescent Groups: The Sail Model.
ERIC Educational Resources Information Center
Thompson, John L.; And Others
The manual outlines the processes, policies, and actual program implementation of one component of a Minnesota program for emotionally disturbed adolescents (Project SAIL): the development of school-based therapy/intervention groups. The characteristics of SAIL students are described, and some considerations involved in providing group services…
Keefe, Matthew J; Loda, Justin B; Elhabashy, Ahmad E; Woodall, William H
2017-06-01
The traditional implementation of the risk-adjusted Bernoulli cumulative sum (CUSUM) chart for monitoring surgical outcome quality requires waiting a pre-specified period of time after surgery before incorporating patient outcome information. We propose a simple but powerful implementation of the risk-adjusted Bernoulli CUSUM chart that incorporates outcome information as soon as it is available, rather than waiting a pre-specified period of time after surgery. A simulation study is presented that compares the performance of the traditional implementation of the risk-adjusted Bernoulli CUSUM chart to our improved implementation. We show that incorporating patient outcome information as soon as it is available leads to quicker detection of process deterioration. Deterioration of surgical performance could be detected much sooner using our proposed implementation, which could lead to the earlier identification of problems. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
Moullin, Joanna C; Sabater-Hernández, Daniel; Fernandez-Llimos, Fernando; Benrimoj, Shalom I
2015-03-14
Implementation science and knowledge translation have developed across multiple disciplines with the common aim of bringing innovations to practice. Numerous implementation frameworks, models, and theories have been developed to target a diverse array of innovations. As such, it is plausible that not all frameworks include the full range of concepts now thought to be involved in implementation. Users face the decision of selecting a single or combining multiple implementation frameworks. To aid this decision, the aim of this review was to assess the comprehensiveness of existing frameworks. A systematic search was undertaken in PubMed to identify implementation frameworks of innovations in healthcare published from 2004 to May 2013. Additionally, titles and abstracts from Implementation Science journal and references from identified papers were reviewed. The orientation, type, and presence of stages and domains, along with the degree of inclusion and depth of analysis of factors, strategies, and evaluations of implementation of included frameworks were analysed. Frameworks were assessed individually and grouped according to their targeted innovation. Frameworks for particular innovations had similar settings, end-users, and 'type' (descriptive, prescriptive, explanatory, or predictive). On the whole, frameworks were descriptive and explanatory more often than prescriptive and predictive. A small number of the reviewed frameworks covered an implementation concept(s) in detail, however, overall, there was limited degree and depth of analysis of implementation concepts. The core implementation concepts across the frameworks were collated to form a Generic Implementation Framework, which includes the process of implementation (often portrayed as a series of stages and/or steps), the innovation to be implemented, the context in which the implementation is to occur (divided into a range of domains), and influencing factors, strategies, and evaluations. The selection of
Statistics of software vulnerability detection in certification testing
NASA Astrophysics Data System (ADS)
Barabanov, A. V.; Markov, A. S.; Tsirlov, V. L.
2018-05-01
The paper discusses practical aspects of introduction of the methods to detect software vulnerability in the day-to-day activities of the accredited testing laboratory. It presents the approval results of the vulnerability detection methods as part of the study of the open source software and the software that is a test object of the certification tests under information security requirements, including software for communication networks. Results of the study showing the allocation of identified vulnerabilities by types of attacks, country of origin, programming languages used in the development, methods for detecting vulnerability, etc. are given. The experience of foreign information security certification systems related to the detection of certified software vulnerabilities is analyzed. The main conclusion based on the study is the need to implement practices for developing secure software in the development life cycle processes. The conclusions and recommendations for the testing laboratories on the implementation of the vulnerability analysis methods are laid down.
Optics detection and laser countermeasures on a combat vehicle
NASA Astrophysics Data System (ADS)
Sjöqvist, Lars; Allard, Lars; Pettersson, Magnus; Börjesson, Per; Lindskog, Nils; Bodin, Johan; Widén, Anders; Persson, Hâkan; Fredriksson, Jan; Edström, Sten
2016-10-01
Magnifying optical assemblies used for weapon guidance or rifle scopes may possess a threat for a combat vehicle and its personnel. Detection and localisation of optical threats is consequently of interest in military applications. Typically a laser system is used in optics detection, or optical augmentation, to interrogate a scene of interest to localise retroreflected laser radiation. One interesting approach for implementing optics detection on a combat vehicle is to use a continuous scanning scheme. In addition, optics detection can be combined with laser countermeasures, or a laser dazzling function, to efficiently counter an optical threat. An optics detection laser sensor demonstrator has been implemented on a combat vehicle. The sensor consists of a stabilised gimbal and was integrated together with a LEMUR remote electro-optical sight. A narrow laser slit is continuously scanned around the horizon to detect and locate optical threats. Detected threats are presented for the operator within the LEMUR presentation system, and by cueing a countermeasure laser installed in the LEMUR sensor housing threats can be defeated. Results obtained during a field demonstration of the optics detection sensor and the countermeasure laser will be presented. In addition, results obtained using a dual-channel optics detection system designed for false alarm reduction are also discussed.
Falcón, María; Navarro-Zaragoza, Javier; García-Rodríguez, Rosa María; Nova-López, Daniel; González-Navarro, María Dulce; Mercadal, María; García-Algar, Oscar; Luna Ruiz-Cabello, Aurelio
2017-07-14
Screening for alcohol consumption in adolescents is widely justified in the health care field because of the particular vulnerability of this population, which starts drinking alcohol at a very early age and frequently consumes high levels of the same. Hospital emergency departments (ED) could be a good venue to manage early detection and carry out brief intervention (BI) programmes. The aim of this study was to identify perceived barriers for medical staff of three hospitals in Spain to successfully implement a protocol for alcohol detection and BI for minors in the ED. Exploratory qualitative analysis using focus groups with semi-structured, flexible and open-ended questions to explore beliefs, attitudes, and barriers perceived by professionals to screening alcohol consumption and implementing BI in adolescents attended at the ED. The main perceived barriers by health professionals were lack of time, work overload, mistrust, lack of validated and simple screening tools, lack of training/awareness and legal concerns about informed consent and confidentiality. Barriers to screening and intervention in ED are similar to those described previously. It is necessary to improve organization of time allocated for medical consultations, avoid limiting ED resources, motivate staff and provide appropriate training.
Detecting Fraudulent Erasures at an Aggregate Level
ERIC Educational Resources Information Center
Sinharay, Sandip
2017-01-01
Wollack, Cohen, and Eckerly (2015) suggested the "erasure detection index" (EDI) to detect fraudulent erasures for individual examinees. Wollack and Eckerly (2017) extended the EDI to detect fraudulent erasures at the group level. The EDI at the group level was found to be slightly conservative. This paper suggests two modifications of…
Aarons, Gregory A; Ehrhart, Mark G; Farahnak, Lauren R
2014-04-14
In healthcare and allied healthcare settings, leadership that supports effective implementation of evidenced-based practices (EBPs) is a critical concern. However, there are no empirically validated measures to assess implementation leadership. This paper describes the development, factor structure, and initial reliability and convergent and discriminant validity of a very brief measure of implementation leadership: the Implementation Leadership Scale (ILS). Participants were 459 mental health clinicians working in 93 different outpatient mental health programs in Southern California, USA. Initial item development was supported as part of a two United States National Institutes of Health (NIH) studies focused on developing implementation leadership training and implementation measure development. Clinician work group/team-level data were randomly assigned to be utilized for an exploratory factor analysis (n = 229; k = 46 teams) or for a confirmatory factor analysis (n = 230; k = 47 teams). The confirmatory factor analysis controlled for the multilevel, nested data structure. Reliability and validity analyses were then conducted with the full sample. The exploratory factor analysis resulted in a 12-item scale with four subscales representing proactive leadership, knowledgeable leadership, supportive leadership, and perseverant leadership. Confirmatory factor analysis supported an a priori higher order factor structure with subscales contributing to a single higher order implementation leadership factor. The scale demonstrated excellent internal consistency reliability as well as convergent and discriminant validity. The ILS is a brief and efficient measure of unit level leadership for EBP implementation. The availability of the ILS will allow researchers to assess strategic leadership for implementation in order to advance understanding of leadership as a predictor of organizational context for implementation. The ILS also holds promise as a tool for
2014-01-01
Background In healthcare and allied healthcare settings, leadership that supports effective implementation of evidenced-based practices (EBPs) is a critical concern. However, there are no empirically validated measures to assess implementation leadership. This paper describes the development, factor structure, and initial reliability and convergent and discriminant validity of a very brief measure of implementation leadership: the Implementation Leadership Scale (ILS). Methods Participants were 459 mental health clinicians working in 93 different outpatient mental health programs in Southern California, USA. Initial item development was supported as part of a two United States National Institutes of Health (NIH) studies focused on developing implementation leadership training and implementation measure development. Clinician work group/team-level data were randomly assigned to be utilized for an exploratory factor analysis (n = 229; k = 46 teams) or for a confirmatory factor analysis (n = 230; k = 47 teams). The confirmatory factor analysis controlled for the multilevel, nested data structure. Reliability and validity analyses were then conducted with the full sample. Results The exploratory factor analysis resulted in a 12-item scale with four subscales representing proactive leadership, knowledgeable leadership, supportive leadership, and perseverant leadership. Confirmatory factor analysis supported an a priori higher order factor structure with subscales contributing to a single higher order implementation leadership factor. The scale demonstrated excellent internal consistency reliability as well as convergent and discriminant validity. Conclusions The ILS is a brief and efficient measure of unit level leadership for EBP implementation. The availability of the ILS will allow researchers to assess strategic leadership for implementation in order to advance understanding of leadership as a predictor of organizational context for implementation
ERP Software Implementation Best Practices.
ERIC Educational Resources Information Center
Frantz, Pollyanne S.; Southerland, Arthur R.; Johnson, James T.
2002-01-01
Studied the perceptions of chief financial and information officers of enterprise resource planning (ERP) software implementation best practices. Usable responses from 159 respondents show consensus for the most part between the perceptions of the two groups and describe some best practices that represent common ground. (SLD)
Mayer, Jonathan E; Swetter, Susan M; Fu, Teresa; Geller, Alan C
2014-10-01
While most cancers have shown both decreased incidence and mortality over the past several decades, the incidence of melanoma has continued to grow, and mortality has only recently stabilized in the United States and in many other countries. Certain populations, such as men >60 years of age and lower socioeconomic status groups, face a greater burden from disease. For any given stage and across all ages, men have shown worse melanoma survival than women, and low socioeconomic status groups have increased levels of mortality. Novel risk factors can help identify populations at greatest risk for melanoma and can aid in targeted early detection. Risk assessment tools have been created to identify high-risk patients based on various factors, and these tools can reduce the number of patients needed to screen for melanoma detection. Diagnostic techniques, such as dermatoscopy and total body photography, and new technologies, such as multispectral imaging, may increase the accuracy and reliability of early melanoma detection. Copyright © 2014 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.
Richter, Anne; von Thiele Schwarz, Ulrica; Lornudd, Caroline; Lundmark, Robert; Mosson, Rebecca; Hasson, Henna
2016-07-29
Leadership is a key feature in implementation efforts, which is highlighted in most implementation frameworks. However, in studying leadership and implementation, only few studies rely on established leadership theory, which makes it difficult to draw conclusions regarding what kinds of leadership managers should perform and under what circumstances. In industrial and organizational psychology, transformational leadership and contingent reward have been identified as effective leadership styles for facilitating change processes, and these styles map well onto the behaviors identified in implementation research. However, it has been questioned whether these general leadership styles are sufficient to foster specific results; it has therefore been suggested that the leadership should be specific to the domain of interest, e.g., implementation. To this end, an intervention specifically involving leadership, which we call implementation leadership, is developed and tested in this project. The aim of the intervention is to increase healthcare managers' generic implementation leadership skills, which they can use for any implementation efforts in the future. The intervention is conducted in healthcare in Stockholm County, Sweden, where first- and second-line managers were invited to participate. Two intervention groups are included, including 52 managers. Intervention group 1 consists of individual managers, and group 2 of managers from one division. A control group of 39 managers is additionally included. The intervention consists of five half-day workshops aiming at increasing the managers' implementation leadership, which is the primary outcome of this intervention. The intervention will be evaluated through a mixed-methods approach. A pre- and post-design applying questionnaires at three time points (pre-, directly after the intervention, and 6 months post-intervention) will be used, in addition to process evaluation questionnaires related to each workshop. In
NASA Technical Reports Server (NTRS)
Schoenwald, Adam J.; Bradley, Damon C.; Mohammed, Priscilla N.; Piepmeier, Jeffrey R.; Wong, Mark
2016-01-01
Radio-frequency interference (RFI) is a known problem for passive remote sensing as evidenced in the L-band radiometers SMOS, Aquarius and more recently, SMAP. Various algorithms have been developed and implemented on SMAP to improve science measurements. This was achieved by the use of a digital microwave radiometer. RFI mitigation becomes more challenging for microwave radiometers operating at higher frequencies in shared allocations. At higher frequencies larger bandwidths are also desirable for lower measurement noise further adding to processing challenges. This work focuses on finding improved RFI mitigation techniques that will be effective at additional frequencies and at higher bandwidths. To aid the development and testing of applicable detection and mitigation techniques, a wide-band RFI algorithm testing environment has been developed using the Reconfigurable Open Architecture Computing Hardware System (ROACH) built by the Collaboration for Astronomy Signal Processing and Electronics Research (CASPER) Group. The testing environment also consists of various test equipment used to reproduce typical signals that a radiometer may see including those with and without RFI. The testing environment permits quick evaluations of RFI mitigation algorithms as well as show that they are implementable in hardware. The algorithm implemented is a complex signal kurtosis detector which was modeled and simulated. The complex signal kurtosis detector showed improved performance over the real kurtosis detector under certain conditions. The real kurtosis is implemented on SMAP at 24 MHz bandwidth. The complex signal kurtosis algorithm was then implemented in hardware at 200 MHz bandwidth using the ROACH. In this work, performance of the complex signal kurtosis and the real signal kurtosis are compared. Performance evaluations and comparisons in both simulation as well as experimental hardware implementations were done with the use of receiver operating characteristic (ROC
Comparison of individual and pooled sampling methods for detecting bacterial pathogens of fish
Mumford, Sonia; Patterson, Chris; Evered, J.; Brunson, Ray; Levine, J.; Winton, J.
2005-01-01
Examination of finfish populations for viral and bacterial pathogens is an important component of fish disease control programs worldwide. Two methods are commonly used for collecting tissue samples for bacteriological culture, the currently accepted standards for detection of bacterial fish pathogens. The method specified in the Office International des Epizooties Manual of Diagnostic Tests for Aquatic Animals permits combining renal and splenic tissues from as many as 5 fish into pooled samples. The American Fisheries Society (AFS) Blue Book/US Fish and Wildlife Service (USFWS) Inspection Manual specifies the use of a bacteriological loop for collecting samples from the kidney of individual fish. An alternative would be to more fully utilize the pooled samples taken for virology. If implemented, this approach would provide substantial savings in labor and materials. To compare the relative performance of the AFS/USFWS method and this alternative approach, cultures of Yersinia ruckeri were used to establish low-level infections in groups of rainbow trout (Oncorhynchus mykiss) that were sampled by both methods. Yersinia ruckeri was cultured from 22 of 37 groups by at least 1 method. The loop method yielded 18 positive groups, with 1 group positive in the loop samples but negative in the pooled samples. The pooled samples produced 21 positive groups, with 4 groups positive in the pooled samples but negative in the loop samples. There was statistically significant agreement (Spearman coefficient 0.80, P < 0.001) in the relative ability of the 2 sampling methods to permit detection of low-level bacterial infections of rainbow trout.
Kolkman, Diny G E; Rijnders, Marlies E B; Wouters, Maurice G A J; van den Akker-van Marle, M Elske; van der Ploeg, Cpb Kitty; de Groot, Christianne J M; Fleuren, Margot A H
2013-07-30
Early-onset Group B haemolytic streptococcus infection (EOGBS) is an important cause of neonatal morbidity and mortality in the first week of life. Primary prevention of EOGBS is possible with intra-partum antibiotic prophylaxis (IAP.) Different prevention strategies are used internationally based on identifying pregnant women at risk, either by screening for GBS colonisation and/or by identifying risk factors for EOGBS in pregnancy or labour. A theoretical cost-effectiveness study has shown that a strategy with IAP based on five risk factors (risk-based strategy) or based on a positive screening test in combination with one or more risk factors (combination strategy) was the most cost-effective approach in the Netherlands. IAP for all pregnant women with a positive culture in pregnancy (screening strategy) and treatment in line with the current Dutch guideline (IAP after establishing a positive culture in case of pre-labour rupture of membranes or preterm birth and immediate IAP in case of intra-partum fever, previous sibling with EOGBS or GBS bacteriuria), were not cost-effective. Cost-effectiveness was based on the assumption of 100% adherence to each strategy. However, adherence in daily practice will be lower and therefore have an effect on cost-effectiveness. The aims are to: a.) implement the current Dutch guideline, the risk-based strategy and the combination strategy in three pilot regions and b.) study the effects of these strategies in daily practice. Regions where all the care providers in maternity care implement the allocated strategy will be randomised. Before the introduction of the strategy, there will be a pre-test (use of the current guideline) involving 105 pregnant women per region. This will be followed by a post-test (use of the allocated strategy) involving 315 women per region. The outcome measures are: 1.) adherence to the specific prevention strategy and the determinants of adherence among care providers and pregnant women, 2.) outcomes
Ergonomics for enhancing detection of machine abnormalities.
Illankoon, Prasanna; Abeysekera, John; Singh, Sarbjeet
2016-10-17
Detecting abnormal machine conditions is of great importance in an autonomous maintenance environment. Ergonomic aspects can be invaluable when detection of machine abnormalities using human senses is examined. This research outlines the ergonomic issues involved in detecting machine abnormalities and suggests how ergonomics would improve such detections. Cognitive Task Analysis was performed in a plant in Sri Lanka where Total Productive Maintenance is being implemented to identify sensory types that would be used to detect machine abnormalities and relevant Ergonomic characteristics. As the outcome of this research, a methodology comprising of an Ergonomic Gap Analysis Matrix for machine abnormality detection is presented.
Moen, Johannes K.
1936-01-01
1. A skin test with a crude bacterial extract prepared from group C (Lancefield) hemolytic streptococci was used as a means of detecting possible carriers of the streptococcus causing epizootic lymphadenitis in guinea pigs. A positive test similar to a positive tuberculin reaction was considered presumptive evidence of present or recent infection with this streptococcus. 2. 20 positive reactors were found in 330 supposedly normal guinea pigs. 3. 195 negatively reacting animals were used as a breeding stock which yielded 1,296 progeny over a period of 15 months. None of the breeding stock or their progeny showed evidence of spontaneous lymphadenitis. Skin tests of 100 of the progeny were all negative. 4. The use of this skin test as a means of obtaining guinea pig breeding stock free of the streptococcus causing spontaneous lymphadenitis is suggested. PMID:19870552
Detecting Fraudulent Erasures at an Aggregate Level
ERIC Educational Resources Information Center
Sinharay, Sandip
2018-01-01
Wollack, Cohen, and Eckerly suggested the "erasure detection index" (EDI) to detect fraudulent erasures for individual examinees. Wollack and Eckerly extended the EDI to detect fraudulent erasures at the group level. The EDI at the group level was found to be slightly conservative. This article suggests two modifications of the EDI for…
DOT National Transportation Integrated Search
2012-06-01
The protocol using the Veris 3150 for determination of sulfate-rich soils has been implemented to two fullscale : projects in Dallas and Paris Districts. The determination of organic-rich soil was not implemented in this project : due to the unavaila...
The openEHR Java reference implementation project.
Chen, Rong; Klein, Gunnar
2007-01-01
The openEHR foundation has developed an innovative design for interoperable and future-proof Electronic Health Record (EHR) systems based on a dual model approach with a stable reference information model complemented by archetypes for specific clinical purposes.A team from Sweden has implemented all the stable specifications in the Java programming language and donated the source code to the openEHR foundation. It was adopted as the openEHR Java Reference Implementation in March 2005 and released under open source licenses. This encourages early EHR implementation projects around the world and a number of groups have already started to use this code. The early Java implementation experience has also led to the publication of the openEHR Java Implementation Technology Specification. A number of design changes to the specifications and important minor corrections have been directly initiated by the implementation project over the last two years. The Java Implementation has been important for the validation and improvement of the openEHR design specifications and provides building blocks for future EHR systems.
A fast automatic target detection method for detecting ships in infrared scenes
NASA Astrophysics Data System (ADS)
Özertem, Kemal Arda
2016-05-01
Automatic target detection in infrared scenes is a vital task for many application areas like defense, security and border surveillance. For anti-ship missiles, having a fast and robust ship detection algorithm is crucial for overall system performance. In this paper, a straight-forward yet effective ship detection method for infrared scenes is introduced. First, morphological grayscale reconstruction is applied to the input image, followed by an automatic thresholding onto the suppressed image. For the segmentation step, connected component analysis is employed to obtain target candidate regions. At this point, it can be realized that the detection is defenseless to outliers like small objects with relatively high intensity values or the clouds. To deal with this drawback, a post-processing stage is introduced. For the post-processing stage, two different methods are used. First, noisy detection results are rejected with respect to target size. Second, the waterline is detected by using Hough transform and the detection results that are located above the waterline with a small margin are rejected. After post-processing stage, there are still undesired holes remaining, which cause to detect one object as multi objects or not to detect an object as a whole. To improve the detection performance, another automatic thresholding is implemented only to target candidate regions. Finally, two detection results are fused and post-processing stage is repeated to obtain final detection result. The performance of overall methodology is tested with real world infrared test data.
ERIC Educational Resources Information Center
Fullarton, Christie; Palermo, Josephine
2008-01-01
This article reports on the use of a large group method, the World Café, compared to large group facilitation in an educational institutional setting in Oman. Change is central to many educational institutions as they aspire to ensure quality procedures and processes are implemented and maintained. One of the difficulties of introducing change…
Nepusz, Tamás; Sasidharan, Rajkumar; Paccanaro, Alberto
2010-03-09
An important problem in genomics is the automatic inference of groups of homologous proteins from pairwise sequence similarities. Several approaches have been proposed for this task which are "local" in the sense that they assign a protein to a cluster based only on the distances between that protein and the other proteins in the set. It was shown recently that global methods such as spectral clustering have better performance on a wide variety of datasets. However, currently available implementations of spectral clustering methods mostly consist of a few loosely coupled Matlab scripts that assume a fair amount of familiarity with Matlab programming and hence they are inaccessible for large parts of the research community. SCPS (Spectral Clustering of Protein Sequences) is an efficient and user-friendly implementation of a spectral method for inferring protein families. The method uses only pairwise sequence similarities, and is therefore practical when only sequence information is available. SCPS was tested on difficult sets of proteins whose relationships were extracted from the SCOP database, and its results were extensively compared with those obtained using other popular protein clustering algorithms such as TribeMCL, hierarchical clustering and connected component analysis. We show that SCPS is able to identify many of the family/superfamily relationships correctly and that the quality of the obtained clusters as indicated by their F-scores is consistently better than all the other methods we compared it with. We also demonstrate the scalability of SCPS by clustering the entire SCOP database (14,183 sequences) and the complete genome of the yeast Saccharomyces cerevisiae (6,690 sequences). Besides the spectral method, SCPS also implements connected component analysis and hierarchical clustering, it integrates TribeMCL, it provides different cluster quality tools, it can extract human-readable protein descriptions using GI numbers from NCBI, it interfaces with
Quantitative blood group typing using surface plasmon resonance.
Then, Whui Lyn; Aguilar, Marie-Isabel; Garnier, Gil
2015-11-15
The accurate and reliable typing of blood groups is essential prior to blood transfusion. While current blood typing methods are well established, results are subjective and heavily reliant on analysis by trained personnel. Techniques for quantifying blood group antibody-antigen interactions are also very limited. Many biosensing systems rely on surface plasmon resonance (SPR) detection to quantify biomolecular interactions. While SPR has been widely used for characterizing antibody-antigen interactions, measuring antibody interactions with whole cells is significantly less common. Previous studies utilized SPR for blood group antigen detection, however, showed poor regeneration causing loss of functionality after a single use. In this study, a fully regenerable, multi-functional platform for quantitative blood group typing via SPR detection is achieved by immobilizing anti-human IgG antibody to the sensor surface, which binds to the Fc region of human IgG antibodies. The surface becomes an interchangeable platform capable of quantifying the blood group interactions between red blood cells (RBCs) and IgG antibodies. As with indirect antiglobulin tests (IAT), which use IgG antibodies for detection, IgG antibodies are initially incubated with RBCs. This facilitates binding to the immobilized monolayer and allows for quantitative blood group detection. Using the D-antigen as an example, a clear distinction between positive (>500 RU) and negative (<100 RU) RBCs is achieved using anti-D IgG. Complete regeneration of the anti-human IgG surface is also successful, showing negligible degradation of the surface after more than 100 regenerations. This novel approach is validated with human-sourced whole blood samples to demonstrate an interesting alternative for quantitative blood grouping using SPR analysis. Crown Copyright © 2015. Published by Elsevier B.V. All rights reserved.
Ferreira, Fábio S; Pereira, João M S; Duarte, João V; Castelo-Branco, Miguel
2017-01-01
Although voxel based morphometry studies are still the standard for analyzing brain structure, their dependence on massive univariate inferential methods is a limiting factor. A better understanding of brain pathologies can be achieved by applying inferential multivariate methods, which allow the study of multiple dependent variables, e.g. different imaging modalities of the same subject. Given the widespread use of SPM software in the brain imaging community, the main aim of this work is the implementation of massive multivariate inferential analysis as a toolbox in this software package. applied to the use of T1 and T2 structural data from diabetic patients and controls. This implementation was compared with the traditional ANCOVA in SPM and a similar multivariate GLM toolbox (MRM). We implemented the new toolbox and tested it by investigating brain alterations on a cohort of twenty-eight type 2 diabetes patients and twenty-six matched healthy controls, using information from both T1 and T2 weighted structural MRI scans, both separately - using standard univariate VBM - and simultaneously, with multivariate analyses. Univariate VBM replicated predominantly bilateral changes in basal ganglia and insular regions in type 2 diabetes patients. On the other hand, multivariate analyses replicated key findings of univariate results, while also revealing the thalami as additional foci of pathology. While the presented algorithm must be further optimized, the proposed toolbox is the first implementation of multivariate statistics in SPM8 as a user-friendly toolbox, which shows great potential and is ready to be validated in other clinical cohorts and modalities.
Ferreira, Fábio S.; Pereira, João M.S.; Duarte, João V.; Castelo-Branco, Miguel
2017-01-01
Background: Although voxel based morphometry studies are still the standard for analyzing brain structure, their dependence on massive univariate inferential methods is a limiting factor. A better understanding of brain pathologies can be achieved by applying inferential multivariate methods, which allow the study of multiple dependent variables, e.g. different imaging modalities of the same subject. Objective: Given the widespread use of SPM software in the brain imaging community, the main aim of this work is the implementation of massive multivariate inferential analysis as a toolbox in this software package. applied to the use of T1 and T2 structural data from diabetic patients and controls. This implementation was compared with the traditional ANCOVA in SPM and a similar multivariate GLM toolbox (MRM). Method: We implemented the new toolbox and tested it by investigating brain alterations on a cohort of twenty-eight type 2 diabetes patients and twenty-six matched healthy controls, using information from both T1 and T2 weighted structural MRI scans, both separately – using standard univariate VBM - and simultaneously, with multivariate analyses. Results: Univariate VBM replicated predominantly bilateral changes in basal ganglia and insular regions in type 2 diabetes patients. On the other hand, multivariate analyses replicated key findings of univariate results, while also revealing the thalami as additional foci of pathology. Conclusion: While the presented algorithm must be further optimized, the proposed toolbox is the first implementation of multivariate statistics in SPM8 as a user-friendly toolbox, which shows great potential and is ready to be validated in other clinical cohorts and modalities. PMID:28761571
Implementation of an all-ages mandatory helmet policy for ice skating.
Thibault-Halman, Ginette; Fenerty, Lynne; Wheadon-Hore, Kathie; Walling, Simon; Cusimano, Michael D; Clarke, David B
2015-12-01
Ice skaters sustain a significant number of head injuries each winter. We are the first to implement an all-ages helmet policy at a university-based Canadian arena. We report our experience from a cross-sectional observational study as well as the policy's consequences on helmet use and skating participation. Educational programming was provided prior to policy implementation. Observations of helmet use, falls and skater demographics were conducted prior to education/implementation and after policy implementation. The number of skaters observed was essentially unchanged by the policy; 361 skaters were observed pre-implementation, while 358 were observed post-implementation during the same number of observation-hours. Pre-implementation, helmet use ranged from 97% among children under 12 to 10% among adults; post-implementation use in all skaters was 99%. Falls were observed among all age groups, with preponderance among those aged 4-12. An all-ages helmet policy was successful both in achieving helmet use among all skaters and in maintaining participation rates. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
2003-08-05
KENNEDY SPACE CENTER, FLA. - The Stafford-Covey Return to Flight Task Group (SCTG) visits the Columbia Debris Hangar . Chairing the task group are Richard O. Covey (third from right), former Space Shuttle commander, and Thomas P. Stafford (fourth from right), Apollo commander. Chartered by NASA Administrator Sean O’Keefe, the task group will perform an independent assessment of NASA’s implementation of the final recommendations by the Columbia Accident Investigation Board.
Demby, Hilary; Gregory, Alethia; Broussard, Marsha; Dickherber, Jennifer; Atkins, Shantice; Jenner, Lynne W
2014-03-01
In recent years, the demand for evidence-based teen pregnancy prevention programs has increased, but practitioners often struggle to replicate and implement them as designed in real-world community settings. The purpose of this article is to describe the barriers and facilitators encountered during pilot year attempts to implement an evidence-based teen pregnancy prevention program within three types of organizations: (1) small community-based organizations; (2) a school-based organization; and (3) a large decentralized city-sponsored summer youth program. We frame our discussion of these experiences within the context of a systemic, multilevel framework for implementation consisting of (1) core implementation components; (2) organizational components; and (3) external factors. This article explores the organizational and external implementation factors we experienced during the implementation process, describes our lessons learned throughout this process, and offers strategies for other practitioners to proactively address these factors from the start of program planning. These findings may provide useful insight for other organizations looking to implement multi-session, group-level interventions with fidelity. Copyright © 2014 Society for Adolescent Health and Medicine. All rights reserved.
Digitally balanced detection for optical tomography.
Hafiz, Rehan; Ozanyan, Krikor B
2007-10-01
Analog balanced Photodetection has found extensive usage for sensing of a weak absorption signal buried in laser intensity noise. This paper proposes schemes for compact, affordable, and flexible digital implementation of the already established analog balanced detection, as part of a multichannel digital tomography system. Variants of digitally balanced detection (DBD) schemes, suitable for weak signals on a largely varying background or weakly varying envelopes of high frequency carrier waves, are introduced analytically and elaborated in terms of algorithmic and hardware flow. The DBD algorithms are implemented on a low-cost general purpose reconfigurable hardware (field-programmable gate array), utilizing less than half of its resources. The performance of the DBD schemes compare favorably with their analog counterpart: A common mode rejection ratio of 50 dB was observed over a bandwidth of 300 kHz, limited mainly by the host digital hardware. The close relationship between the DBD outputs and those of known analog balancing circuits is discussed in principle and shown experimentally in the example case of propane gas detection.
Short-Term Impact of a Teen Pregnancy-Prevention Intervention Implemented in Group Homes.
Oman, Roy F; Vesely, Sara K; Green, Jennifer; Fluhr, Janene; Williams, Jean
2016-11-01
Youth living in group home settings are at significantly greater risk for sexual risk behaviors; however, there are no sexual health programs designed specifically for these youth. The study's purpose was to assess the effectiveness of a teen pregnancy-prevention program for youth living in group home foster care settings and other out-of-home placements. The study design was a cluster randomized controlled trial involving youth (N = 1,037) recruited from 44 residential group homes located in California, Maryland, and Oklahoma. Within each state, youth (mean age = 16.2 years; 82% male; 37% Hispanic, 20% African-American, 20% white, and 17% multiracial) in half the group homes were randomly assigned to the intervention group (n = 40 clusters) and the other half were randomly assigned to a control group that offered "usual care" (n = 40 clusters). The intervention (i.e., Power Through Choices [PTC]) was a 10-session, age-appropriate, and medically accurate sexual health education program. Compared to the control group, youth in the PTC intervention showed significantly greater improvements (p < .05) from preintervention to postintervention in all three knowledge areas, one of two attitude areas, all three self-efficacy areas, and two of three behavioral intention areas. This is the first published randomized controlled trial of a teen pregnancy-prevention program designed for youth living in foster care settings and other out-of-home placements. The numerous significant improvements in short-term outcomes are encouraging and provide preliminary evidence that the PTC program is an effective pregnancy-prevention program. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
Considerations for implementing machine vision for detecting watercore in apples
NASA Astrophysics Data System (ADS)
Upchurch, Bruce L.; Throop, James A.
1993-05-01
Watercore in apples is a physiological disorder that affects the internal quality of the fruit. Growers can experience serious economic losses due to internal breakdown of the apple if watercored apples are placed unknowingly into long term storage. Economic losses can also occur if watercore is detected and the entire `lot' is downgraded; however, a gain can be obtained if watercored fruit is segregated and marketed as a premium apple soon after harvest. Watercore is characterized by the accumulation of fluid around the vascular bundles replacing air spaces between cells. This fluid reduces the light scattering properties of the apple. Using machine vision to measure the amount of light transmitted through the apple, watercored apples were segregated according to the severity of damage. However, the success of the method was dependent upon two factors. First, the sensitivity of the camera dictated the classes of watercore that could be detected. A highly sensitive camera could separate the less severe classes at the expense of not distinguishing between the more severe classes. A second factor which is common to most quality attributes in perishable commodities is the elapsed time after harvest at which the measurement was made. At the end of the study, light transmission levels decreased to undetectable levels with the initial camera settings for all watercore classes.