Evaluation of Autism-Related Health Information on the Web

ERIC Educational Resources Information Center

Grant, Nicole; Rodger, Sylvia; Hoffmann, Tammy

2015-01-01

Background: The Internet is a frequently accessed source of information for parents of a child with autism. To help parents make informed decisions about treatment options, websites should contain accurate information. This study aimed to evaluate the quality of information in a sample of autism-relevant websites. Materials and Methods:…

Image processing of metal surface with structured light

NASA Astrophysics Data System (ADS)

Luo, Cong; Feng, Chang; Wang, Congzheng

2014-09-01

In structured light vision measurement system, the ideal image of structured light strip, in addition to black background , contains only the gray information of the position of the stripe. However, the actual image contains image noise, complex background and so on, which does not belong to the stripe, and it will cause interference to useful information. To extract the stripe center of mental surface accurately, a new processing method was presented. Through adaptive median filtering, the noise can be preliminary removed, and the noise which introduced by CCD camera and measured environment can be further removed with difference image method. To highlight fine details and enhance the blurred regions between the stripe and noise, the sharping algorithm is used which combine the best features of Laplacian operator and Sobel operator. Morphological opening operation and closing operation are used to compensate the loss of information.Experimental results show that this method is effective in the image processing, not only to restrain the information but also heighten contrast. It is beneficial for the following processing.

Ship Detection from Ocean SAR Image Based on Local Contrast Variance Weighted Information Entropy

PubMed Central

Huang, Yulin; Pei, Jifang; Zhang, Qian; Gu, Qin; Yang, Jianyu

2018-01-01

Ship detection from synthetic aperture radar (SAR) images is one of the crucial issues in maritime surveillance. However, due to the varying ocean waves and the strong echo of the sea surface, it is very difficult to detect ships from heterogeneous and strong clutter backgrounds. In this paper, an innovative ship detection method is proposed to effectively distinguish the vessels from complex backgrounds from a SAR image. First, the input SAR image is pre-screened by the maximally-stable extremal region (MSER) method, which can obtain the ship candidate regions with low computational complexity. Then, the proposed local contrast variance weighted information entropy (LCVWIE) is adopted to evaluate the complexity of those candidate regions and the dissimilarity between the candidate regions with their neighborhoods. Finally, the LCVWIE values of the candidate regions are compared with an adaptive threshold to obtain the final detection result. Experimental results based on measured ocean SAR images have shown that the proposed method can obtain stable detection performance both in strong clutter and heterogeneous backgrounds. Meanwhile, it has a low computational complexity compared with some existing detection methods. PMID:29652863

Evaluation of background radiation dose contributions in the United Arab Emirates.

PubMed

Goddard, Braden; Bosc, Emmanuel; Al Hasani, Sarra; Lloyd, Cody

2018-09-01

The natural background radiation consists of three main components; cosmic, terrestrial, and skyshine. Although there are currently methods available to measure the total dose rate from background radiation, no established methods exist that allow for the measurement of each component the background radiation. This analysis consists of a unique methodology in which the dose rate contribution from each component of the natural background radiation is measured and calculated. This project evaluates the natural background dose rate in the Abu Dhabi City region from all three of these components using the developed methodology. Evaluating and understanding the different components of background radiation provides a baseline allowing for the detection, and possibly attribution, of elevated radiation levels. Measurements using a high-pressure ion chamber with different shielding configurations and two offshore measurements provided dose rate information that were attributed to the different components of the background radiation. Additional spectral information was obtained using an HPGe detector to verify and quantify the presence of terrestrial radionuclides. By evaluating the dose rates of the different shielding configurations the comic, terrestrial, and skyshine contribution in the Abu Dhabi City region were determined to be 33.0 ± 1.7, 15.7 ± 2.5, and 2.4 ± 2.1 nSv/h, respectively. Copyright © 2018. Published by Elsevier Ltd.

Human Blood Typing: A Forensic Science Approach. Part I: Background.

ERIC Educational Resources Information Center

Kobilinsky, Lawrence; Sheehan, Francis X.

1988-01-01

In this article, part I of a series, the forensic methods used in "typing" human blood, which as physical evidence is often found in the dried state, are outlined. Background information about individualization, antibody typing, fresh blood, dried blood, and additional systems is provided. (CW)

Lack of Interaction between Sensing-Intuitive Learning Styles and Problem-First versus Information-First Instruction: A Randomized Crossover Trial

ERIC Educational Resources Information Center

Cook, David A.; Thompson, Warren G.; Thomas, Kris G.; Thomas, Matthew R.

2009-01-01

Background: Adaptation to learning styles has been proposed to enhance learning. Objective: We hypothesized that learners with sensing learning style would perform better using a problem-first instructional method while intuitive learners would do better using an information-first method. Design: Randomized, controlled, crossover trial. Setting:…

User Testing of Consumer Medicine Information in Australia

ERIC Educational Resources Information Center

Jay, Eleanor; Aslani, Parisa; Raynor, D. K.

2011-01-01

Background: Consumer Medicine Information (CMI) forms an important basis for the dissemination of medicines information worldwide. Methods: This article presents an overview of the design and development of Australian CMI, and discusses "user-testing" as an iterative, formative process for CMI design. Findings: In Australia, legislation…

3D Inversion of Natural Source Electromagnetics

NASA Astrophysics Data System (ADS)

Holtham, E. M.; Oldenburg, D. W.

2010-12-01

The superior depth of investigation of natural source electromagnetic techniques makes these methods excellent candidates for crustal studies as well as for mining and hydrocarbon exploration. The traditional natural source method, the magnetotelluric (MT) technique, has practical limitations because the surveys are costly and time consuming due to the labor intensive nature of ground based surveys. In an effort to continue to use the penetration advantage of natural sources, it has long been recognized that tipper data, the ratio of the local vertical magnetic field to the horizontal magnetic field, provide information about 3D electrical conductivity structure. It was this understanding that prompted the development of AFMAG (Audio Frequency Magnetics) and recently the new airborne Z-Axis Tipper Electromagnetic Technique (ZTEM). In ZTEM, the vertical component of the magnetic field is recorded above the entire survey area, while the horizontal fields are recorded at a ground-based reference station. MT processing techniques yield frequency domain transfer functions typically between 30-720 Hz that relate the vertical fields over the survey area to the horizontal fields at the reference station. The result is a cost effective procedure for collecting natural source EM data and for finding large scale targets at moderate depths. It is well known however that 1D layered structures produce zero vertical magnetic fields and thus ZTEM data cannot recover such background conductivities. This is in sharp contrast to the MT technique where electric fields are measured and a 1D background conductivity can be recovered from the off diagonal elements of the impedance tensor. While 1D models produce no vertical fields, two and three dimensional structures will produce anomalous currents and a ZTEM response. For such models the background conductivity structure does affect the data. In general however, the ZTEM data have weak sensitivity to the background conductivity and while we show that it is possible to obtain the background structure by inverting the ZTEM data alone, it is desirable to obtain robust background conductivity information from other sources. This information could come from a priori geologic and petrophysical information or from additional geophysical data such as MT. To counter the costly nature of large MT surveys and the limited sensitivity of the ZTEM technique to the background conductivity we show that an effective method is to collect and invert both MT and ZTEM data. A sparse MT survey grid can gather information about the background conductivity and deep structures while keeping the survey costs affordable. Higher spatial resolution at moderate depths can be obtained by flying multiple lines of ZTEM data.

Discoveries far from the lamppost with matrix elements and ranking

DOE Office of Scientific and Technical Information (OSTI.GOV)

Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

2015-04-01

The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inversemore » of the background distribution.« less

Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activity.

PubMed

Sekihara, K; Poeppel, D; Marantz, A; Koizumi, H; Miyashita, Y

1997-09-01

This paper proposes a method of localizing multiple current dipoles from spatio-temporal biomagnetic data. The method is based on the multiple signal classification (MUSIC) algorithm and is tolerant of the influence of background brain activity. In this method, the noise covariance matrix is estimated using a portion of the data that contains noise, but does not contain any signal information. Then, a modified noise subspace projector is formed using the generalized eigenvectors of the noise and measured-data covariance matrices. The MUSIC localizer is calculated using this noise subspace projector and the noise covariance matrix. The results from a computer simulation have verified the effectiveness of the method. The method was then applied to source estimation for auditory-evoked fields elicited by syllable speech sounds. The results strongly suggest the method's effectiveness in removing the influence of background activity.

Efficient graph-cut tattoo segmentation

NASA Astrophysics Data System (ADS)

Kim, Joonsoo; Parra, Albert; Li, He; Delp, Edward J.

2015-03-01

Law enforcement is interested in exploiting tattoos as an information source to identify, track and prevent gang-related crimes. Many tattoo image retrieval systems have been described. In a retrieval system tattoo segmentation is an important step for retrieval accuracy since segmentation removes background information in a tattoo image. Existing segmentation methods do not extract the tattoo very well when the background includes textures and color similar to skin tones. In this paper we describe a tattoo segmentation approach by determining skin pixels in regions near the tattoo. In these regions graph-cut segmentation using a skin color model and a visual saliency map is used to find skin pixels. After segmentation we determine which set of skin pixels are connected with each other that form a closed contour including a tattoo. The regions surrounded by the closed contours are considered tattoo regions. Our method segments tattoos well when the background includes textures and color similar to skin.

An Effective Method for Modeling Two-dimensional Sky Background of LAMOST

NASA Astrophysics Data System (ADS)

Haerken, Hasitieer; Duan, Fuqing; Zhang, Jiannan; Guo, Ping

2017-06-01

Each CCD of LAMOST accommodates 250 spectra, while about 40 are used to observe sky background during real observations. How to estimate the unknown sky background information hidden in the observed 210 celestial spectra by using the known 40 sky spectra is the problem we solve. In order to model the sky background, usually a pre-observation is performed with all fibers observing sky background. We use the observed 250 skylight spectra as training data, where those observed by the 40 fibers are considered as a base vector set. The Locality-constrained Linear Coding (LLC) technique is utilized to represent the skylight spectra observed by the 210 fibers with the base vector set. We also segment each spectrum into small parts, and establish the local sky background model for each part. Experimental results validate the proposed method, and show the local model is better than the global model.

Preserving Flow Variability in Watershed Model Calibrations

EPA Science Inventory

Background/Question/Methods Although watershed modeling flow calibration techniques often emphasize a specific flow mode, ecological conditions that depend on flow-ecology relationships often emphasize a range of flow conditions. We used informal likelihood methods to investig...

An Improved Text Localization Method for Natural Scene Images

NASA Astrophysics Data System (ADS)

Jiang, Mengdi; Cheng, Jianghua; Chen, Minghui; Ku, Xishu

2018-01-01

In order to extract text information effectively from natural scene image with complex background, multi-orientation perspective and multilingual languages, we present a new method based on the improved Stroke Feature Transform (SWT). Firstly, The Maximally Stable Extremal Region (MSER) method is used to detect text candidate regions. Secondly, the SWT algorithm is used in the candidate regions, which can improve the edge detection compared with tradition SWT method. Finally, the Frequency-tuned (FT) visual saliency is introduced to remove non-text candidate regions. The experiment results show that, the method can achieve good robustness for complex background with multi-orientation perspective, various characters and font sizes.

The Influence of Informal Music Education in Teacher Formation: An Autoethnography

ERIC Educational Resources Information Center

Nethsinghe, Rohan

2012-01-01

In this paper I explore how my musical background, teaching skills, understanding and knowledge as well as music-making abilities and skills, have formed my current self as musician, teacher and researcher. An autoethnographical method is used to investigate my background, including the different modes of music education I received. From this…

Autonomous rock detection on mars through region contrast

NASA Astrophysics Data System (ADS)

Xiao, Xueming; Cui, Hutao; Yao, Meibao; Tian, Yang

2017-08-01

In this paper, we present a new autonomous rock detection approach through region contrast. Unlike current state-of-art pixel-level rock segmenting methods, new method deals with this issue in region level, which will significantly reduce the computational cost. Image is firstly splitted into homogeneous regions based on intensity information and spatial layout. Considering the high-water memory constraints of onboard flight processor, only low-level features, average intensity and variation of superpixel, are measured. Region contrast is derived as the integration of intensity contrast and smoothness measurement. Rocks are then segmented from the resulting contrast map by an adaptive threshold. Since the merely intensity-based method may cause false detection in background areas with different illuminations from surroundings, a more reliable method is further proposed by introducing spatial factor and background similarity to the region contrast. Spatial factor demonstrates the locality of contrast, while background similarity calculates the probability of each subregion belonging to background. Our method is efficient in dealing with large images and only few parameters are needed. Preliminary experimental results show that our algorithm outperforms edge-based methods in various grayscale rover images.

78 FR 68076 - Request for Information on Alternative Skin Sensitization Test Methods and Testing Strategies and...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-13

... INFORMATION: Background: Allergic contact dermatitis (ACD), a skin reaction characterized by localized redness, swelling, blistering, or itching after direct contact with a skin allergen, is an important public health.... Web site: http://ntp.niehs.nih.gov/go/niceatm . FOR FURTHER INFORMATION CONTACT: Dr. Warren S. Casey...

Data-driven approach for creating synthetic electronic medical records.

PubMed

Buczak, Anna L; Babin, Steven; Moniz, Linda

2010-10-14

New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the effectiveness of these algorithms. To bridge the gap between novel bio-surveillance algorithms operating on full EMRs and the lack of non-identifiable EMR data, a method for generating complete and synthetic EMRs was developed. This paper describes a novel methodology for generating complete synthetic EMRs both for an outbreak illness of interest (tularemia) and for background records. The method developed has three major steps: 1) synthetic patient identity and basic information generation; 2) identification of care patterns that the synthetic patients would receive based on the information present in real EMR data for similar health problems; 3) adaptation of these care patterns to the synthetic patient population. We generated EMRs, including visit records, clinical activity, laboratory orders/results and radiology orders/results for 203 synthetic tularemia outbreak patients. Validation of the records by a medical expert revealed problems in 19% of the records; these were subsequently corrected. We also generated background EMRs for over 3000 patients in the 4-11 yr age group. Validation of those records by a medical expert revealed problems in fewer than 3% of these background patient EMRs and the errors were subsequently rectified. A data-driven method was developed for generating fully synthetic EMRs. The method is general and can be applied to any data set that has similar data elements (such as laboratory and radiology orders and results, clinical activity, prescription orders). The pilot synthetic outbreak records were for tularemia but our approach may be adapted to other infectious diseases. The pilot synthetic background records were in the 4-11 year old age group. The adaptations that must be made to the algorithms to produce synthetic background EMRs for other age groups are indicated.

New Method for Knowledge Management Focused on Communication Pattern in Product Development

NASA Astrophysics Data System (ADS)

Noguchi, Takashi; Shiba, Hajime

In the field of manufacturing, the importance of utilizing knowledge and know-how has been growing. To meet this background, there is a need for new methods to efficiently accumulate and extract effective knowledge and know-how. To facilitate the extraction of knowledge and know-how needed by engineers, we first defined business process information which includes schedule/progress information, document data, information about communication among parties concerned, and information which corresponds to these three types of information. Based on our definitions, we proposed an IT system (FlexPIM: Flexible and collaborative Process Information Management) to register and accumulate business process information with the least effort. In order to efficiently extract effective information from huge volumes of accumulated business process information, focusing attention on “actions” and communication patterns, we propose a new extraction method using communication patterns. And the validity of this method has been verified for some communication patterns.

The Pedestrian Detection Method Using an Extension Background Subtraction about the Driving Safety Support Systems

NASA Astrophysics Data System (ADS)

Muranaka, Noriaki; Date, Kei; Tokumaru, Masataka; Imanishi, Shigeru

In recent years, the traffic accident occurs frequently with explosion of traffic density. Therefore, we think that the safe and comfortable transportation system to defend the pedestrian who is the traffic weak is necessary. First, we detect and recognize the pedestrian (the crossing person) by the image processing. Next, we inform all the drivers of the right or left turn that the pedestrian exists by the sound and the image and so on. By prompting a driver to do safe driving in this way, the accident to the pedestrian can decrease. In this paper, we are using a background subtraction method for the movement detection of the movement object. In the background subtraction method, the update method in the background was important, and as for the conventional way, the threshold values of the subtraction processing and background update were identical. That is, the mixing rate of the input image and the background image of the background update was a fixation value, and the fine tuning which corresponded to the environment change of the weather was difficult. Therefore, we propose the update method of the background image that the estimated mistake is difficult to be amplified. We experiment and examines in the comparison about five cases of sunshine, cloudy, evening, rain, sunlight change, except night. This technique can set separately the threshold values of the subtraction processing and background update processing which suited the environmental condition of the weather and so on. Therefore, the fine tuning becomes possible freely in the mixing rate of the input image and the background image of the background update. Because the setting of the parameter which suited an environmental condition becomes important to minimize mistaking percentage, we examine about the setting of a parameter.

The Effect of Cancer Information Seeking on Perceptions of Cancer Risks, Fatalism, and Worry among a U.S. National Sample

ERIC Educational Resources Information Center

Amuta, Ann Oyare; Chen, Xuewei; Mkuu, Rahma

2017-01-01

Background: Information seeking is crucial in the health behavior context. Cancer information seeking may play a key role in individuals' perceptions and subsequent health behaviors. Purpose: The purpose of this study is to investigate the influence of cancer information seeking on perceptions of cancer worry, fatalism and risk. Methods: Data from…

Ethnicity-specific factors influencing childhood immunisation decisions among Black and Asian Minority Ethnic groups in the UK: a systematic review of qualitative research

PubMed Central

Forster, Alice S; Rockliffe, Lauren; Chorley, Amanda J; Marlow, Laura A V; Bedford, Helen; Smith, Samuel G; Waller, Jo

2017-01-01

Background Uptake of some childhood immunisations in the UK is lower among those from some Black and Asian Minority Ethnic (BAME) backgrounds. This systematic review of qualitative research sought to understand the factors that are associated with ethnicity that influence the immunisation decisions of parents from BAME backgrounds living in the UK. Methods Databases were searched on 2 December 2014 for studies published at any time using the terms ‘UK’ and ‘vaccination’ and ‘qualitative methods’ (and variations of these). Included articles comprised participants who were parents from BAME backgrounds. Thematic synthesis methods were used to develop descriptive and higher order themes. Themes specific to ethnicity and associated factors are reported. Results Eight papers were included in the review. Most participants were from Black (n=62) or Asian (n=38) backgrounds. Two ethnicity-related factors affected immunisation decisions. First, factors that are related to ethnicity itself (namely religion, upbringing and migration, and language) affected parents' perceived importance of immunisations, whether immunisations were permitted or culturally acceptable and their understanding of immunisation/the immunisation schedule. Second, perceived biological differences affected decision-making and demand for information. Conclusions Factors related to ethnicity must be considered when seeking to understand immunisation decisions among parents from BAME backgrounds. Where appropriate and feasible, vaccination information should be targeted to address beliefs about ethnic differences held by some individuals from some BAME backgrounds. PMID:27531844

Informal Social Networks of People with Profound Intellectual and Multiple Disabilities: Relationship with Age, Communicative Abilities and Current Living Arrangements

ERIC Educational Resources Information Center

Kamstra, A.; van der Putten, A. A. J.; Post, W. J.; Vlaskamp, C.

2015-01-01

Background: People with profound intellectual and multiple disabilities (PIMD) have limited informal social contacts. Research to determine the factors which can positively influence establishing sound informal social contacts is required. Materials and Methods: Regression analysis for 200 people with PIMD was used to analyse how age,…

"It's Crazy Being a Black, Gay Youth." Getting Information about HIV Prevention: A Pilot Study

ERIC Educational Resources Information Center

Voisin, Dexter R.; Bird, Jason D. P.; Shiu, Chen-Shi; Krieger, Cathy

2013-01-01

Background: Access and adoption of HIV prevention information are important criteria for reducing HIV infection rates among men who have sex with men. Methods: Using focus group data, researchers sought to identify sources of HIV prevention information and barriers to adopting protective behaviors among young African American men who have sex with…

Family Sources of Sexual Health Information, Primary Messages, and Sexual Behavior of At-Risk, Urban Adolescents

ERIC Educational Resources Information Center

Rosengard, Cynthia; Tannis, Candace; Dove, David C.; van den Berg, Jacob J.; Lopez, Rosalie; Stein, L. A. R.; Morrow, Kathleen M.

2012-01-01

Background: Sources of sexual health information exert strong influence on adolescents' sexual behavior. Purpose: The current study was undertaken to understand how family serve as sexual information sources, the messages adolescents recall from family, and how family learning experiences affect sexual behavior among at-risk adolescents. Methods:…

An Academic Library's Experience with Fee-Based Services.

ERIC Educational Resources Information Center

Hornbeck, Julia W.

1983-01-01

Profile of fee-based information services offered by the Information Exchange Center of Georgia Institute of Technology notes history and background, document delivery to commercial clients and on-campus faculty, online and manual literature searching, staff, cost analysis, fee schedule, operating methods, client relations, marketing, and current…

75 FR 28098 - Agency Information Collection Activities: Notice of Request for Extension of Currently Approved...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-19

... studying crashes using case-control methods including the Grand Rapids study, (Borkenstein, R.F., Crowther... Federal holidays. SUPPLEMENTARY INFORMATION: Title: Motorcycle Crash Causation Study and Pilot Motorcycle Crash Causes and Outcomes Study. OMB Control #: 2125-0619. Background: Motorcycle injuries and...

Phosphorus Determination by Derivative Activation Analysis: A Multifaceted Radiochemical Application.

ERIC Educational Resources Information Center

Kleppinger, E. W.; And Others

1984-01-01

Although determination of phosphorus is important in biology, physiology, and environmental science, traditional gravimetric and colorimetric methods are cumbersome and lack the requisite sensitivity. Therefore, a derivative activation analysis method is suggested. Background information, procedures, and results are provided. (JN)

Discrete Element Method (DEM) Simulations using PFC3D

DOE Office of Scientific and Technical Information (OSTI.GOV)

Matt Evans

Contains input scripts, background information, reduced data, and results associated with the discrete element method (DEM) simulations of interface shear tests, plate anchor pullout tests, and torpedo anchor installation and pullout tests, using the software PFC3D (v4.0).

Investigating the feasibility of using partial least squares as a method of extracting salient information for the evaluation of digital breast tomosynthesis

NASA Astrophysics Data System (ADS)

Zhang, George Z.; Myers, Kyle J.; Park, Subok

2013-03-01

Digital breast tomosynthesis (DBT) has shown promise for improving the detection of breast cancer, but it has not yet been fully optimized due to a large space of system parameters to explore. A task-based statistical approach1 is a rigorous method for evaluating and optimizing this promising imaging technique with the use of optimal observers such as the Hotelling observer (HO). However, the high data dimensionality found in DBT has been the bottleneck for the use of a task-based approach in DBT evaluation. To reduce data dimensionality while extracting salient information for performing a given task, efficient channels have to be used for the HO. In the past few years, 2D Laguerre-Gauss (LG) channels, which are a complete basis for stationary backgrounds and rotationally symmetric signals, have been utilized for DBT evaluation2, 3 . But since background and signal statistics from DBT data are neither stationary nor rotationally symmetric, LG channels may not be efficient in providing reliable performance trends as a function of system parameters. Recently, partial least squares (PLS) has been shown to generate efficient channels for the Hotelling observer in detection tasks involving random backgrounds and signals.4 In this study, we investigate the use of PLS as a method for extracting salient information from DBT in order to better evaluate such systems.

Incorporating Trauma-Informed Care into School-Based Programs

ERIC Educational Resources Information Center

Martin, Sandra L.; Ashley, Olivia Silber; White, LeBretia; Axelson, Sarah; Clark, Marc; Burrus, Barri

2017-01-01

Background: This article provides an overview of the rationale and process for incorporating trauma-informed approaches into US school-based programs, using school-based adolescent pregnancy prevention programs as an example. Methods: Research literature is reviewed on the prevalence and outcomes of childhood trauma, including the links between…

77 FR 25533 - Agency Requests for Approval of a New Information Collection(s): Human Subjects Experiments...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-30

... observational experiments are being conducted in support of current agency regulatory efforts that contemplate... comments [identified by Docket No. NHTSA- 2012-0046] through one of the following methods: Federal e... Information Collection. Background: NHTSA has initiated research and rulemaking to address these issues...

2D/3D facial feature extraction

NASA Astrophysics Data System (ADS)

Çinar Akakin, Hatice; Ali Salah, Albert; Akarun, Lale; Sankur, Bülent

2006-02-01

We propose and compare three different automatic landmarking methods for near-frontal faces. The face information is provided as 480x640 gray-level images in addition to the corresponding 3D scene depth information. All three methods follow a coarse-to-fine suite and use the 3D information in an assist role. The first method employs a combination of principal component analysis (PCA) and independent component analysis (ICA) features to analyze the Gabor feature set. The second method uses a subset of DCT coefficients for template-based matching. These two methods employ SVM classifiers with polynomial kernel functions. The third method uses a mixture of factor analyzers to learn Gabor filter outputs. We contrast the localization performance separately with 2D texture and 3D depth information. Although the 3D depth information per se does not perform as well as texture images in landmark localization, the 3D information has still a beneficial role in eliminating the background and the false alarms.

MEASUREMENT OF INDOOR AIR EMISSIONS FROM DRY-PROCESS PHOTOCOPY MACHINES

EPA Science Inventory

The article provides background information on indoor air emissions from office equipment, with emphasis on dry-process photocopy machines. The test method is described in detail along with results of a study to evaluate the test method using four dry-process photocopy machines. ...

Assessment of ambient background concentrations of elements in soil using combined survey and open-source data.

PubMed

Mikkonen, Hannah G; Clarke, Bradley O; Dasika, Raghava; Wallis, Christian J; Reichman, Suzie M

2017-02-15

Understanding ambient background concentrations in soil, at a local scale, is an essential part of environmental risk assessment. Where high resolution geochemical soil surveys have not been undertaken, soil data from alternative sources, such as environmental site assessment reports, can be used to support an understanding of ambient background conditions. Concentrations of metals/metalloids (As, Mn, Ni, Pb and Zn) were extracted from open-source environmental site assessment reports, for soils derived from the Newer Volcanics basalt, of Melbourne, Victoria, Australia. A manual screening method was applied to remove samples that were indicated to be contaminated by point sources and hence not representative of ambient background conditions. The manual screening approach was validated by comparison to data from a targeted background soil survey. Statistical methods for exclusion of contaminated samples from background soil datasets were compared to the manual screening method. The statistical methods tested included the Median plus Two Median Absolute Deviations, the upper whisker of a normal and log transformed Tukey boxplot, the point of inflection on a cumulative frequency plot and the 95th percentile. We have demonstrated that where anomalous sample results cannot be screened using site information, the Median plus Two Median Absolute Deviations is a conservative method for derivation of ambient background upper concentration limits (i.e. expected maximums). The upper whisker of a boxplot and the point of inflection on a cumulative frequency plot, were also considered adequate methods for deriving ambient background upper concentration limits, where the percentage of contaminated samples is <25%. Median ambient background concentrations of metals/metalloids in the Newer Volcanic soils of Melbourne were comparable to ambient background concentrations in Europe and the United States, except for Ni, which was naturally enriched in the basalt-derived soils of Melbourne. Copyright © 2016 Elsevier B.V. All rights reserved.

Construction and Evaluation of an Integrated Formal/Informal Learning Environment for Foreign Language Learning across Real and Virtual Spaces

ERIC Educational Resources Information Center

Waragai, Ikumi; Ohta, Tatsuya; Kurabayashi, Shuichi; Kiyoki, Yasushi; Sato, Yukiko; Brückner, Stefan

2017-01-01

This paper presents the prototype of a foreign language learning space, based on the construction of an integrated formal/informal learning environment. Before the background of the continued innovation of information technology that places conventional learning styles and educational methods into new contexts based on new value-standards,…

Providing Outreach to Families of Youth with Disabilities from Culturally and Linguistically Diverse Backgrounds by Working with Cultural Groups and Community Organizations

ERIC Educational Resources Information Center

Williams, Tracey R.

2010-01-01

This qualitative study explored how informal community networks (i.e., faith based organizations, community cultural centers and service agencies) provided information to culturally and linguistically diverse families. The goals of this study were, first, to gain a better understanding of the methods the informal community networks used to…

Soil and Litter Animals.

ERIC Educational Resources Information Center

Lippert, George

1991-01-01

A lesson plan for soil study utilizes the Tullgren extraction method to illustrate biological concepts. It includes background information, equipment, collection techniques, activities, and references for identification guides about soil fauna. (MCO)

A regional technology transfer program

NASA Technical Reports Server (NTRS)

Chenery, P. J.

1972-01-01

The activities of the NC/STRC are reported. The background and organization of the regional dissemination center, and marketing methods are discussed along with the services provided, and available information resources.

Developments at the Advanced Design Technologies Testbed

NASA Technical Reports Server (NTRS)

VanDalsem, William R.; Livingston, Mary E.; Melton, John E.; Torres, Francisco J.; Stremel, Paul M.

2003-01-01

A report presents background and historical information, as of August 1998, on the Advanced Design Technologies Testbed (ADTT) at Ames Research Center. The ADTT is characterized as an activity initiated to facilitate improvements in aerospace design processes; provide a proving ground for product-development methods and computational software and hardware; develop bridging methods, software, and hardware that can facilitate integrated solutions to design problems; and disseminate lessons learned to the aerospace and information technology communities.

A Study on Mutil-Scale Background Error Covariances in 3D-Var Data Assimilation

NASA Astrophysics Data System (ADS)

Zhang, Xubin; Tan, Zhe-Min

2017-04-01

The construction of background error covariances is a key component of three-dimensional variational data assimilation. There are different scale background errors and interactions among them in the numerical weather Prediction. However, the influence of these errors and their interactions cannot be represented in the background error covariances statistics when estimated by the leading methods. So, it is necessary to construct background error covariances influenced by multi-scale interactions among errors. With the NMC method, this article firstly estimates the background error covariances at given model-resolution scales. And then the information of errors whose scales are larger and smaller than the given ones is introduced respectively, using different nesting techniques, to estimate the corresponding covariances. The comparisons of three background error covariances statistics influenced by information of errors at different scales reveal that, the background error variances enhance particularly at large scales and higher levels when introducing the information of larger-scale errors by the lateral boundary condition provided by a lower-resolution model. On the other hand, the variances reduce at medium scales at the higher levels, while those show slight improvement at lower levels in the nested domain, especially at medium and small scales, when introducing the information of smaller-scale errors by nesting a higher-resolution model. In addition, the introduction of information of larger- (smaller-) scale errors leads to larger (smaller) horizontal and vertical correlation scales of background errors. Considering the multivariate correlations, the Ekman coupling increases (decreases) with the information of larger- (smaller-) scale errors included, whereas the geostrophic coupling in free atmosphere weakens in both situations. The three covariances obtained in above work are used in a data assimilation and model forecast system respectively, and then the analysis-forecast cycles for a period of 1 month are conducted. Through the comparison of both analyses and forecasts from this system, it is found that the trends for variation in analysis increments with information of different scale errors introduced are consistent with those for variation in variances and correlations of background errors. In particular, introduction of smaller-scale errors leads to larger amplitude of analysis increments for winds at medium scales at the height of both high- and low- level jet. And analysis increments for both temperature and humidity are greater at the corresponding scales at middle and upper levels under this circumstance. These analysis increments improve the intensity of jet-convection system which includes jets at different levels and coupling between them associated with latent heat release, and these changes in analyses contribute to the better forecasts for winds and temperature in the corresponding areas. When smaller-scale errors are included, analysis increments for humidity enhance significantly at large scales at lower levels to moisten southern analyses. This humidification devotes to correcting dry bias there and eventually improves forecast skill of humidity. Moreover, inclusion of larger- (smaller-) scale errors is beneficial for forecast quality of heavy (light) precipitation at large (small) scales due to the amplification (diminution) of intensity and area in precipitation forecasts but tends to overestimate (underestimate) light (heavy) precipitation .

Comparing object recognition from binary and bipolar edge images for visual prostheses.

PubMed

Jung, Jae-Hyun; Pu, Tian; Peli, Eli

2016-11-01

Visual prostheses require an effective representation method due to the limited display condition which has only 2 or 3 levels of grayscale in low resolution. Edges derived from abrupt luminance changes in images carry essential information for object recognition. Typical binary (black and white) edge images have been used to represent features to convey essential information. However, in scenes with a complex cluttered background, the recognition rate of the binary edge images by human observers is limited and additional information is required. The polarity of edges and cusps (black or white features on a gray background) carries important additional information; the polarity may provide shape from shading information missing in the binary edge image. This depth information may be restored by using bipolar edges. We compared object recognition rates from 16 binary edge images and bipolar edge images by 26 subjects to determine the possible impact of bipolar filtering in visual prostheses with 3 or more levels of grayscale. Recognition rates were higher with bipolar edge images and the improvement was significant in scenes with complex backgrounds. The results also suggest that erroneous shape from shading interpretation of bipolar edges resulting from pigment rather than boundaries of shape may confound the recognition.

Advantages of using molecular coancestry in the removal of introgressed genetic material

PubMed Central

2013-01-01

Background When introgression of undesired exogenous genetic material occurs in a population intended to remain pure, actions are necessary to recover the original background. It has been shown that genome-wide information can replace pedigree information for different objectives and is a valuable tool in the fields of genetic conservation and breeding. In this simulation study, molecular information provided by 50 000 SNP was used to minimise the molecular coancestry between individuals of an admixed population and the foreign individuals that originally introgressed a native population in order to remove the exogenous DNA. Results This management method, which detects the ‘purest’ individuals to be used as parents for the next generation, allowed recovery of the native genetic background to a great extent in all simulated scenarios. However, it also caused an increase in inbreeding larger than expected because of the lower number of individuals selected as parents and the higher coancestry between them. In scenarios involving several introgression events the method was more efficient than in those involving a single introgression event because part of the genetic information was mixed with the native genetic material for a shorter period. Conclusions Genome-wide information can be used to identify the purest individuals via the minimisation of molecular coancestry between individuals of the admixed and exogenous populations. Removal of the undesired genetic material is more efficient with a molecular-based approach than with a pedigree-based approach. PMID:23634969

Raman background photobleaching as a possible method of cancer diagnostics

NASA Astrophysics Data System (ADS)

Brandt, Nikolai N.; Brandt, Nikolai B.; Chikishev, Andrey Y.; Gangardt, Mihail G.; Karyakina, Nina F.

2001-06-01

Kinetics of photobleaching of background in Raman spectra of aqueous solutions of plant toxins ricin and ricin agglutinin, ricin binding subunit, and normal and malignant human blood serum were measured. For the excitation of the spectra cw and pulsed laser radiation were used. The spectra of Raman background change upon laser irradiation. Background intensity is lower for the samples with small molecular weight. The cyclization of amino acid residues in the toxin molecules as well as in human blood serum can be a reason of the Raman background. The model of the background photobleaching is proposed. The differences in photobleaching kinetics in the cases of cw and pulsed laser radiation are discussed. It is shown that Raman background photobleaching can be very informative for cancer diagnostics.

Background information for the Leaching environmental Assessment Framework (LEAF) test methods

EPA Science Inventory

The U.S. Environmental Protection Agency Office of Resource Conservation and Recovery has initiated the review and validation process for four leaching tests under consideration for inclusion into SW-846: Method 1313 "Liquid-Solid Partitioning as a Function of Extract pH for Co...

Kinetic Study of Adsorption Processes in Solution: An Undergraduate Physical Chemistry Experiment.

ERIC Educational Resources Information Center

Casado, Julio; And Others

1985-01-01

Background information, apparatus needed, procedures used, and results obtained are provided for a simple kinetic method for the monitoring of adsorption processes. The method, which involved adsorption of crystal violet onto activated carbon, is suitable for classroom and/or research purposes. (JN)

Detection of artifacts from high energy bursts in neonatal EEG.

PubMed

Bhattacharyya, Sourya; Biswas, Arunava; Mukherjee, Jayanta; Majumdar, Arun Kumar; Majumdar, Bandana; Mukherjee, Suchandra; Singh, Arun Kumar

2013-11-01

Detection of non-cerebral activities or artifacts, intermixed within the background EEG, is essential to discard them from subsequent pattern analysis. The problem is much harder in neonatal EEG, where the background EEG contains spikes, waves, and rapid fluctuations in amplitude and frequency. Existing artifact detection methods are mostly limited to detect only a subset of artifacts such as ocular, muscle or power line artifacts. Few methods integrate different modules, each for detection of one specific category of artifact. Furthermore, most of the reference approaches are implemented and tested on adult EEG recordings. Direct application of those methods on neonatal EEG causes performance deterioration, due to greater pattern variation and inherent complexity. A method for detection of a wide range of artifact categories in neonatal EEG is thus required. At the same time, the method should be specific enough to preserve the background EEG information. The current study describes a feature based classification approach to detect both repetitive (generated from ECG, EMG, pulse, respiration, etc.) and transient (generated from eye blinking, eye movement, patient movement, etc.) artifacts. It focuses on artifact detection within high energy burst patterns, instead of detecting artifacts within the complete background EEG with wide pattern variation. The objective is to find true burst patterns, which can later be used to identify the Burst-Suppression (BS) pattern, which is commonly observed during newborn seizure. Such selective artifact detection is proven to be more sensitive to artifacts and specific to bursts, compared to the existing artifact detection approaches applied on the complete background EEG. Several time domain, frequency domain, statistical features, and features generated by wavelet decomposition are analyzed to model the proposed bi-classification between burst and artifact segments. A feature selection method is also applied to select the feature subset producing highest classification accuracy. The suggested feature based classification method is executed using our recorded neonatal EEG dataset, consisting of burst and artifact segments. We obtain 78% sensitivity and 72% specificity as the accuracy measures. The accuracy obtained using the proposed method is found to be about 20% higher than that of the reference approaches. Joint use of the proposed method with our previous work on burst detection outperforms reference methods on simultaneous burst and artifact detection. As the proposed method supports detection of a wide range of artifact patterns, it can be improved to incorporate the detection of artifacts within other seizure patterns and background EEG information as well. © 2013 Elsevier Ltd. All rights reserved.

Fluorescence background subtraction technique for hybrid fluorescence molecular tomography/x-ray computed tomography imaging of a mouse model of early stage lung cancer.

PubMed

Ale, Angelique; Ermolayev, Vladimir; Deliolanis, Nikolaos C; Ntziachristos, Vasilis

2013-05-01

The ability to visualize early stage lung cancer is important in the study of biomarkers and targeting agents that could lead to earlier diagnosis. The recent development of hybrid free-space 360-deg fluorescence molecular tomography (FMT) and x-ray computed tomography (XCT) imaging yields a superior optical imaging modality for three-dimensional small animal fluorescence imaging over stand-alone optical systems. Imaging accuracy was improved by using XCT information in the fluorescence reconstruction method. Despite this progress, the detection sensitivity of targeted fluorescence agents remains limited by nonspecific background accumulation of the fluorochrome employed, which complicates early detection of murine cancers. Therefore we examine whether x-ray CT information and bulk fluorescence detection can be combined to increase detection sensitivity. Correspondingly, we research the performance of a data-driven fluorescence background estimator employed for subtraction of background fluorescence from acquisition data. Using mice containing known fluorochromes ex vivo, we demonstrate the reduction of background signals from reconstructed images and sensitivity improvements. Finally, by applying the method to in vivo data from K-ras transgenic mice developing lung cancer, we find small tumors at an early stage compared with reconstructions performed using raw data. We conclude with the benefits of employing fluorescence subtraction in hybrid FMT-XCT for early detection studies.

Can one measure the Cosmic Neutrino Background?

NASA Astrophysics Data System (ADS)

Faessler, Amand; Hodák, Rastislav; Kovalenko, Sergey; Šimkovic, Fedor

The Cosmic Microwave Background (CMB) yields information about our Universe at around 380,000 years after the Big Bang (BB). Due to the weak interaction of the neutrinos with matter, the Cosmic Neutrino Background (CNB) should give information about a much earlier time of our Universe, around one second after the BB. Probably, the most promising method to “see” the CNB is the capture of the electron neutrinos from the Background by Tritium, which then decays into 3He and an electron with the energy of the the Q-value = 18.562keV plus the electron neutrino rest mass. The “KArlsruhe TRItium Neutrino” (KATRIN) experiment, which is in preparation, seems presently the most sensitive proposed method for measuring the electron antineutrino mass. At the same time, KATRIN can also look by the reaction νe(˜ 1.95K) +3H →3He + e-(Q = 18.6keV + m νec2). The capture of the Cosmic Background Neutrinos (CNB) should show in the electron spectrum as a peak by the electron neutrino rest mass above Q. Here, the possibility to see the CNB with KATRIN is studied. A detection of the CNB by KATRIN seems not to be possible at the moment. But KATRIN should be able to determine an upper limit for the local electron neutrino density of the CNB.

Can one measure the Cosmic Neutrino Background?

NASA Astrophysics Data System (ADS)

Faessler, Amand; Hodák, Rastislav; Kovalenko, Sergey; Šimkovic, Fedor

The Cosmic Microwave Background (CMB) yields information about our Universe at around 380,000 years after the Big Bang (BB). Due to the weak interaction of the neutrinos with matter, the Cosmic Neutrino Background (CNB) should give information about a much earlier time of our Universe, around one second after the BB. Probably, the most promising method to "see" the CNB is the capture of the electron neutrinos from the Background by Tritium, which then decays into 3He and an electron with the energy of the the Q-value = 18.562 keV plus the electron neutrino rest mass. The "KArlsruhe TRItium Neutrino" (KATRIN) experiment, which is in preparation, seems presently the most sensitive proposed method for measuring the electron antineutrino mass. At the same time, KATRIN can also look by the reaction νe(˜1.95K) + 3H → 3He + e-(Q = 18.6keV + mνec2). The capture of the Cosmic Background Neutrinos (CNB) should show in the electron spectrum as a peak by the electron neutrino rest mass above Q. Here, the possibility to see the CNB with KATRIN is studied. A detection of the CNB by KATRIN seems not to be possible at the moment. But KATRIN should be able to determine an upper limit for the local electron neutrino density of the CNB.

"Tell Me What They Do to My Body": A Survey to Find out What Information People with Learning Disabilities Want with Their Medications

ERIC Educational Resources Information Center

Fish, Rebecca; Hatton, Chris; Chauhan, Umesh

2017-01-01

Background: Previous research has found that people with learning disabilities are not given prescription information that is tailored to their needs. We wanted to find out people's information requirements. Materials and Methods: A questionnaire was co-produced by the authors and consultants with learning disabilities. It asked what information…

Effects of Audio-Visual Information on the Intelligibility of Alaryngeal Speech

ERIC Educational Resources Information Center

Evitts, Paul M.; Portugal, Lindsay; Van Dine, Ami; Holler, Aline

2010-01-01

Background: There is minimal research on the contribution of visual information on speech intelligibility for individuals with a laryngectomy (IWL). Aims: The purpose of this project was to determine the effects of mode of presentation (audio-only, audio-visual) on alaryngeal speech intelligibility. Method: Twenty-three naive listeners were…

Statistical Literacy in the Data Science Workplace

ERIC Educational Resources Information Center

Grant, Robert

2017-01-01

Statistical literacy, the ability to understand and make use of statistical information including methods, has particular relevance in the age of data science, when complex analyses are undertaken by teams from diverse backgrounds. Not only is it essential to communicate to the consumers of information but also within the team. Writing from the…

Behavioural Excesses and Deficits Associated with Dementia in Adults Who Have Down Syndrome

ERIC Educational Resources Information Center

Oliver, Chris; Kalsy, Sunny; McQuillan, Sharna; Hall, Scott

2011-01-01

Background: Informant-based assessment of behavioural change and difference in dementia in Down syndrome can aid diagnosis and inform service delivery. To date few studies have examined the impact of different types of behavioural change. Methods: The Assessment for Adults with Developmental Disabilities (AADS), developed for this study, assesses…

Enquiry Learning in Social Studies. ACER Research Series No. 101.

ERIC Educational Resources Information Center

Whitehead, Graham

Teaching enquiry methods, that is, skills concerned with constructing knowledge from available information and searching for new information, is the subject of this study, which provides a background to the subject as well as a review of research. The study sought to answer the question of whether problem-solving performances of primary school…

Use of Research-Based Information among Leaders of Public Health Agencies

ERIC Educational Resources Information Center

Toomey, Traci L.; Tramel, Sarah; Erickson, Darin J.; Lenk, Kathleen M.

2009-01-01

Background: Researchers have identified numerous policies and programs effective in reducing public health problems, yet many of these programs and policies have not been implemented throughout communities and states. Purpose: To assess the use of research-based information among leaders in the local public health system. Methods: We conducted a…

Deliberate Self-Harm by under-15-Year-Olds: Characteristics, Trends and Outcome

ERIC Educational Resources Information Center

Hawton, Keith; Harriss, Louise

2008-01-01

Background: Relatively little information is available about the characteristics and long-term outcome of children and adolescents aged under 15 years who present to general hospitals because of deliberate self-harm (DSH). Method: Information was collected on 710 consecutive under-15-year-olds presenting to a general hospital in central England…

An Examination of the Addition of Video Informed Reflective Practice to the Active Support Toolkit

ERIC Educational Resources Information Center

Baker, Peter; Appleton, Philippa; Williams, Rosie

2017-01-01

Background: This study evaluated a package of Active Support (AS), which included standard training with additional video informed reflective practice. Materials & Methods: The training package was implemented as part of a service improvement initiative in four residential intellectual disability homes, using a concurrent multiple baseline…

Staff Recommendations Concerning the Delivery of Hepatitis-Related Services in County Health Departments

ERIC Educational Resources Information Center

Rainey, Jacquie

2007-01-01

Background: This paper describes a portion of a larger evaluation project of a state hepatitis prevention program. Purpose: The study explored the suggestions of key informants related to the delivery of hepatitis services in the state. Methods: Researchers conducted key informant interviews lasting 30 to 45 minutes. Results: Important findings…

Does eating particular diets alter risk of age-related macular degeneration in users of the Age-Related Eye Disease Study supplements?

USDA-ARS?s Scientific Manuscript database

Background: Recent information suggests that the Age-Related Eye Disease Study (AREDS) supplement, enhanced intake of omega-3 fatty acids, and diminishing dietary glycemic index (dGI) are protective against advanced age-related macular degeneration (AMD). Methods: Dietary information was collected a...

The Periodic Table as a Mnemonic Device for Writing Electronic Configurations.

ERIC Educational Resources Information Center

Mabrouk, Suzanne T.

2003-01-01

Presents an interactive method for using the periodic table as an effective mnemonic for writing electronic configurations. Discusses the intrinsic relevance of configurations to chemistry by building upon past analogies. Addresses pertinent background information, describes the hands-on method, and demonstrates its use. Transforms the traditional…

Parental Depressive Symptoms and Children's Sleep: The Role of Family Conflict

ERIC Educational Resources Information Center

El-Sheikh, Mona; Kelly, Ryan J.; Bagley, Erika J.; Wetter, Emily K.

2012-01-01

Background: We used a multi-method and multi-informant design to identify developmental pathways through which parental depressive symptoms contribute to children's sleep problems. Environmental factors including adult inter-partner conflict and parent-child conflict were considered as process variables of this relation. Methods: An ethnically and…

24 CFR Appendix II to Subpart C of... - Development of Standards; Calculation Methods

Code of Federal Regulations, 2012 CFR

2012-04-01

...; Calculation Methods I. Background Information Concerning the Standards (a) Thermal Radiation: (1) Introduction... and structures in the event of fire. The resulting fireball emits thermal radiation which is absorbed... radiation being emitted. The radiation can cause severe burn, injuries and even death to exposed persons...

Backscattered Electron Microscopy as an Advanced Technique in Petrography.

ERIC Educational Resources Information Center

Krinsley, David Henry; Manley, Curtis Robert

1989-01-01

Three uses of this method with sandstone, desert varnish, and granite weathering are described. Background information on this technique is provided. Advantages of this type of microscopy are stressed. (CW)

A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using variable-background phantoms

DOE Office of Scientific and Technical Information (OSTI.GOV)

Park, Subok; Jennings, Robert; Liu Haimo

Purpose: For the last few years, development and optimization of three-dimensional (3D) x-ray breast imaging systems, such as digital breast tomosynthesis (DBT) and computed tomography, have drawn much attention from the medical imaging community, either academia or industry. However, there is still much room for understanding how to best optimize and evaluate the devices over a large space of many different system parameters and geometries. Current evaluation methods, which work well for 2D systems, do not incorporate the depth information from the 3D imaging systems. Therefore, it is critical to develop a statistically sound evaluation method to investigate the usefulnessmore » of inclusion of depth and background-variability information into the assessment and optimization of the 3D systems. Methods: In this paper, we present a mathematical framework for a statistical assessment of planar and 3D x-ray breast imaging systems. Our method is based on statistical decision theory, in particular, making use of the ideal linear observer called the Hotelling observer. We also present a physical phantom that consists of spheres of different sizes and materials for producing an ensemble of randomly varying backgrounds to be imaged for a given patient class. Lastly, we demonstrate our evaluation method in comparing laboratory mammography and three-angle DBT systems for signal detection tasks using the phantom's projection data. We compare the variable phantom case to that of a phantom of the same dimensions filled with water, which we call the uniform phantom, based on the performance of the Hotelling observer as a function of signal size and intensity. Results: Detectability trends calculated using the variable and uniform phantom methods are different from each other for both mammography and DBT systems. Conclusions: Our results indicate that measuring the system's detection performance with consideration of background variability may lead to differences in system performance estimates and comparisons. For the assessment of 3D systems, to accurately determine trade offs between image quality and radiation dose, it is critical to incorporate randomness arising from the imaging chain including background variability into system performance calculations.« less

Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra.

PubMed

Cordero, Eliana; Korinth, Florian; Stiebing, Clara; Krafft, Christoph; Schie, Iwan W; Popp, Jürgen

2017-07-27

Raman spectroscopy provides label-free biochemical information from tissue samples without complicated sample preparation. The clinical capability of Raman spectroscopy has been demonstrated in a wide range of in vitro and in vivo applications. However, a challenge for in vivo applications is the simultaneous excitation of auto-fluorescence in the majority of tissues of interest, such as liver, bladder, brain, and others. Raman bands are then superimposed on a fluorescence background, which can be several orders of magnitude larger than the Raman signal. To eliminate the disturbing fluorescence background, several approaches are available. Among instrumentational methods shifted excitation Raman difference spectroscopy (SERDS) has been widely applied and studied. Similarly, computational techniques, for instance extended multiplicative scatter correction (EMSC), have also been employed to remove undesired background contributions. Here, we present a theoretical and experimental evaluation and comparison of fluorescence background removal approaches for Raman spectra based on SERDS and EMSC.

Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra

PubMed Central

Cordero, Eliana; Korinth, Florian; Stiebing, Clara; Krafft, Christoph; Schie, Iwan W.; Popp, Jürgen

2017-01-01

Raman spectroscopy provides label-free biochemical information from tissue samples without complicated sample preparation. The clinical capability of Raman spectroscopy has been demonstrated in a wide range of in vitro and in vivo applications. However, a challenge for in vivo applications is the simultaneous excitation of auto-fluorescence in the majority of tissues of interest, such as liver, bladder, brain, and others. Raman bands are then superimposed on a fluorescence background, which can be several orders of magnitude larger than the Raman signal. To eliminate the disturbing fluorescence background, several approaches are available. Among instrumentational methods shifted excitation Raman difference spectroscopy (SERDS) has been widely applied and studied. Similarly, computational techniques, for instance extended multiplicative scatter correction (EMSC), have also been employed to remove undesired background contributions. Here, we present a theoretical and experimental evaluation and comparison of fluorescence background removal approaches for Raman spectra based on SERDS and EMSC. PMID:28749450

Disaster Emergency Rapid Assessment Based on Remote Sensing and Background Data

NASA Astrophysics Data System (ADS)

Han, X.; Wu, J.

2018-04-01

The period from starting to the stable conditions is an important stage of disaster development. In addition to collecting and reporting information on disaster situations, remote sensing images by satellites and drones and monitoring results from disaster-stricken areas should be obtained. Fusion of multi-source background data such as population, geography and topography, and remote sensing monitoring information can be used in geographic information system analysis to quickly and objectively assess the disaster information. According to the characteristics of different hazards, the models and methods driven by the rapid assessment of mission requirements are tested and screened. Based on remote sensing images, the features of exposures quickly determine disaster-affected areas and intensity levels, and extract key disaster information about affected hospitals and schools as well as cultivated land and crops, and make decisions after emergency response with visual assessment results.

Adaptive local thresholding for robust nucleus segmentation utilizing shape priors

NASA Astrophysics Data System (ADS)

Wang, Xiuzhong; Srinivas, Chukka

2016-03-01

This paper describes a novel local thresholding method for foreground detection. First, a Canny edge detection method is used for initial edge detection. Then, tensor voting is applied on the initial edge pixels, using a nonsymmetric tensor field tailored to encode prior information about nucleus size, shape, and intensity spatial distribution. Tensor analysis is then performed to generate the saliency image and, based on that, the refined edge. Next, the image domain is divided into blocks. In each block, at least one foreground and one background pixel are sampled for each refined edge pixel. The saliency weighted foreground histogram and background histogram are then created. These two histograms are used to calculate a threshold by minimizing the background and foreground pixel classification error. The block-wise thresholds are then used to generate the threshold for each pixel via interpolation. Finally, the foreground is obtained by comparing the original image with the threshold image. The effective use of prior information, combined with robust techniques, results in far more reliable foreground detection, which leads to robust nucleus segmentation.

Evaluation of Derivative Ultraviolet Spectrometry for Determining Saccharin in Cola and Other Matrices: An Instrumental Methods Experiment.

ERIC Educational Resources Information Center

Stolzberg, Richard J.

1986-01-01

Background information and experimental procedures are provided for an experiment in which three samples of saccharin (a nickel plating solution, a dilute cola drink, and a more concentrated cola drink) are analyzed and the data interpreted using five methods. Precision and accuracy are evaluated and the best method is selected. (JN)

Information entropy method and the description of echo hologram formation in gaseous media

NASA Astrophysics Data System (ADS)

Garnaeva, G. I.; Nefediev, L. A.; Akhmedshina, E. N.

2018-02-01

The effect of collisions with a change in velocity of gas particles, on the value of information entropy, is associated with the spectral structure of the echo hologram’s response, where its temporal form is considered. It is shown that collisions with a change in gas particle velocity increase the ‘parasitical’ information, on the background of which the information contained in the temporary shape of the object laser pulse is lost.

Background Error Covariance Estimation using Information from a Single Model Trajectory with Application to Ocean Data Assimilation into the GEOS-5 Coupled Model

NASA Technical Reports Server (NTRS)

Keppenne, Christian L.; Rienecker, Michele M.; Kovach, Robin M.; Vernieres, Guillaume; Koster, Randal D. (Editor)

2014-01-01

An attractive property of ensemble data assimilation methods is that they provide flow dependent background error covariance estimates which can be used to update fields of observed variables as well as fields of unobserved model variables. Two methods to estimate background error covariances are introduced which share the above property with ensemble data assimilation methods but do not involve the integration of multiple model trajectories. Instead, all the necessary covariance information is obtained from a single model integration. The Space Adaptive Forecast error Estimation (SAFE) algorithm estimates error covariances from the spatial distribution of model variables within a single state vector. The Flow Adaptive error Statistics from a Time series (FAST) method constructs an ensemble sampled from a moving window along a model trajectory. SAFE and FAST are applied to the assimilation of Argo temperature profiles into version 4.1 of the Modular Ocean Model (MOM4.1) coupled to the GEOS-5 atmospheric model and to the CICE sea ice model. The results are validated against unassimilated Argo salinity data. They show that SAFE and FAST are competitive with the ensemble optimal interpolation (EnOI) used by the Global Modeling and Assimilation Office (GMAO) to produce its ocean analysis. Because of their reduced cost, SAFE and FAST hold promise for high-resolution data assimilation applications.

Background Error Covariance Estimation Using Information from a Single Model Trajectory with Application to Ocean Data Assimilation

NASA Technical Reports Server (NTRS)

Keppenne, Christian L.; Rienecker, Michele; Kovach, Robin M.; Vernieres, Guillaume

2014-01-01

An attractive property of ensemble data assimilation methods is that they provide flow dependent background error covariance estimates which can be used to update fields of observed variables as well as fields of unobserved model variables. Two methods to estimate background error covariances are introduced which share the above property with ensemble data assimilation methods but do not involve the integration of multiple model trajectories. Instead, all the necessary covariance information is obtained from a single model integration. The Space Adaptive Forecast error Estimation (SAFE) algorithm estimates error covariances from the spatial distribution of model variables within a single state vector. The Flow Adaptive error Statistics from a Time series (FAST) method constructs an ensemble sampled from a moving window along a model trajectory.SAFE and FAST are applied to the assimilation of Argo temperature profiles into version 4.1 of the Modular Ocean Model (MOM4.1) coupled to the GEOS-5 atmospheric model and to the CICE sea ice model. The results are validated against unassimilated Argo salinity data. They show that SAFE and FAST are competitive with the ensemble optimal interpolation (EnOI) used by the Global Modeling and Assimilation Office (GMAO) to produce its ocean analysis. Because of their reduced cost, SAFE and FAST hold promise for high-resolution data assimilation applications.

US Forest Service and National Park Service Wilderness Aircraft Overflight Study: Sociological background and study plans

NASA Technical Reports Server (NTRS)

Harrison, Robin T.; Hartmann, Lawrence

1990-01-01

The background and sociological aspects of the combined U.S. Forest Service and National Park Service Wilderness Aircraft Overflight Study (WACOS) are presented. The WACOS broaches a new area of research by combining aspects of outdoor recreation sociology and aircraft noise response studies. The tasks faced create new challenges and require innovative solutions. Background information on the WACOS is presented with special emphasis on sociological considerations. At the time of this writing, no data have yet been collected, so this paper will present background information, related issues, and plans for data collection. Some recent studies indicate that managers of Forest Service wildernesses and National Park Service areas consider aircraft overflights to be a problem to their users in some areas. Additional relevant background research from outdoor recreation sociology is discussed, followed by presentation of the authors' opinions of the most salient sociological issues faced by this study. The goals and desired end products are identified next, followed by a review of the methods anticipated to be used to obtain these results. Finally, a discussion and conclusion section is provided.

A biological hierarchical model based underwater moving object detection.

PubMed

Shen, Jie; Fan, Tanghuai; Tang, Min; Zhang, Qian; Sun, Zhen; Huang, Fengchen

2014-01-01

Underwater moving object detection is the key for many underwater computer vision tasks, such as object recognizing, locating, and tracking. Considering the super ability in visual sensing of the underwater habitats, the visual mechanism of aquatic animals is generally regarded as the cue for establishing bionic models which are more adaptive to the underwater environments. However, the low accuracy rate and the absence of the prior knowledge learning limit their adaptation in underwater applications. Aiming to solve the problems originated from the inhomogeneous lumination and the unstable background, the mechanism of the visual information sensing and processing pattern from the eye of frogs are imitated to produce a hierarchical background model for detecting underwater objects. Firstly, the image is segmented into several subblocks. The intensity information is extracted for establishing background model which could roughly identify the object and the background regions. The texture feature of each pixel in the rough object region is further analyzed to generate the object contour precisely. Experimental results demonstrate that the proposed method gives a better performance. Compared to the traditional Gaussian background model, the completeness of the object detection is 97.92% with only 0.94% of the background region that is included in the detection results.

A Biological Hierarchical Model Based Underwater Moving Object Detection

PubMed Central

Shen, Jie; Fan, Tanghuai; Tang, Min; Zhang, Qian; Sun, Zhen; Huang, Fengchen

2014-01-01

Underwater moving object detection is the key for many underwater computer vision tasks, such as object recognizing, locating, and tracking. Considering the super ability in visual sensing of the underwater habitats, the visual mechanism of aquatic animals is generally regarded as the cue for establishing bionic models which are more adaptive to the underwater environments. However, the low accuracy rate and the absence of the prior knowledge learning limit their adaptation in underwater applications. Aiming to solve the problems originated from the inhomogeneous lumination and the unstable background, the mechanism of the visual information sensing and processing pattern from the eye of frogs are imitated to produce a hierarchical background model for detecting underwater objects. Firstly, the image is segmented into several subblocks. The intensity information is extracted for establishing background model which could roughly identify the object and the background regions. The texture feature of each pixel in the rough object region is further analyzed to generate the object contour precisely. Experimental results demonstrate that the proposed method gives a better performance. Compared to the traditional Gaussian background model, the completeness of the object detection is 97.92% with only 0.94% of the background region that is included in the detection results. PMID:25140194

A novel background field removal method for MRI using projection onto dipole fields (PDF).

PubMed

Liu, Tian; Khalidov, Ildar; de Rochefort, Ludovic; Spincemaille, Pascal; Liu, Jing; Tsiouris, A John; Wang, Yi

2011-11-01

For optimal image quality in susceptibility-weighted imaging and accurate quantification of susceptibility, it is necessary to isolate the local field generated by local magnetic sources (such as iron) from the background field that arises from imperfect shimming and variations in magnetic susceptibility of surrounding tissues (including air). Previous background removal techniques have limited effectiveness depending on the accuracy of model assumptions or information input. In this article, we report an observation that the magnetic field for a dipole outside a given region of interest (ROI) is approximately orthogonal to the magnetic field of a dipole inside the ROI. Accordingly, we propose a nonparametric background field removal technique based on projection onto dipole fields (PDF). In this PDF technique, the background field inside an ROI is decomposed into a field originating from dipoles outside the ROI using the projection theorem in Hilbert space. This novel PDF background removal technique was validated on a numerical simulation and a phantom experiment and was applied in human brain imaging, demonstrating substantial improvement in background field removal compared with the commonly used high-pass filtering method. Copyright © 2011 John Wiley & Sons, Ltd.

Power from Coal. A Student Handbook Recommended for Upper Elementary and Middle Grades.

ERIC Educational Resources Information Center

National Coal Association, Washington, DC.

The contributions of coal as an important energy source are reviewed in this booklet for teachers. It provides background information on coal, activities for classroom use, and an answer key for all the exercises. The introductory section includes information on: (1) coal and electricity; (2) reasons for using coal; (3) methods for extracting…

Caregiver Experiences of Supporting Adults with Intellectual Disabilities in Pain

ERIC Educational Resources Information Center

Findlay, Laura; Williams, Amanda C. de C.; Baum, Sandra; Scior, Katrina

2015-01-01

Background: Caregivers have an intimate knowledge of the individuals they care for and are therefore an important source of information on pain experiences. They are often relied upon to recognize pain-related behaviours and report them, but little is known as to how they experience their role. Methods: Information was collected from 11 caregivers…

The Verbal Information Pathway to Fear and Heart Rate Changes in Children

ERIC Educational Resources Information Center

Field, Andy P.; Schorah, Hannah

2007-01-01

Background: Although many studies have now demonstrated that threat information is sufficient to change children's beliefs and behaviours towards novel animals, there is no evidence to suggest that it influences the physiological component of the fear emotion. Methods: An experiment is reported in which children (N = 26) aged between 6 and 9 were…

The Structure of Informal Social Networks of Persons with Profound Intellectual and Multiple Disabilities

ERIC Educational Resources Information Center

Kamstra, A.; van der Putten, A. A. J.; Vlaskamp, C.

2015-01-01

Background: Persons with less severe disabilities are able to express their needs and show initiatives in social contacts, persons with profound intellectual and multiple disabilities (PIMD), however, depend on others for this. This study analysed the structure of informal networks of persons with PIMD. Materials and Methods: Data concerning the…

Ethnicity-specific factors influencing childhood immunisation decisions among Black and Asian Minority Ethnic groups in the UK: a systematic review of qualitative research.

PubMed

Forster, Alice S; Rockliffe, Lauren; Chorley, Amanda J; Marlow, Laura A V; Bedford, Helen; Smith, Samuel G; Waller, Jo

2017-06-01

Uptake of some childhood immunisations in the UK is lower among those from some Black and Asian Minority Ethnic (BAME) backgrounds. This systematic review of qualitative research sought to understand the factors that are associated with ethnicity that influence the immunisation decisions of parents from BAME backgrounds living in the UK. Databases were searched on 2 December 2014 for studies published at any time using the terms 'UK' and 'vaccination' and 'qualitative methods' (and variations of these). Included articles comprised participants who were parents from BAME backgrounds. Thematic synthesis methods were used to develop descriptive and higher order themes. Themes specific to ethnicity and associated factors are reported. Eight papers were included in the review. Most participants were from Black (n=62) or Asian (n=38) backgrounds. Two ethnicity-related factors affected immunisation decisions. First, factors that are related to ethnicity itself (namely religion, upbringing and migration, and language) affected parents' perceived importance of immunisations, whether immunisations were permitted or culturally acceptable and their understanding of immunisation/the immunisation schedule. Second, perceived biological differences affected decision-making and demand for information. Factors related to ethnicity must be considered when seeking to understand immunisation decisions among parents from BAME backgrounds. Where appropriate and feasible, vaccination information should be targeted to address beliefs about ethnic differences held by some individuals from some BAME backgrounds. 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/.

Astronautic structures manual

NASA Technical Reports Server (NTRS)

1977-01-01

Three-volume reference work serves as catalog of analysis techniques for elastic and inelastic stress ranges and as source on background and development of methods. Information is condensation of published journal articles, industry and university publications, textbooks, and government documents.

Photovoice as an Evaluation Tool for Student Learning on a Field Trip

ERIC Educational Resources Information Center

Behrendt, Marc; Machtmes, Krisanna

2016-01-01

Background: Photovoice is one method that enables an educator to view an experience from a student's perspective. This study examined how teachers might use photovoice during an informal learning experience to understand the students' experiences and experiential gain. Design and methods: Participants in this study consisted of six students, three…

The Critical Success Factors Method: Its Application in a Special Library Environment.

ERIC Educational Resources Information Center

Borbely, Jack

1981-01-01

Discusses the background and theory of the Critical Success Factors (CSF) management method, as well as its application in an information center or other special library environment. CSF is viewed as a management tool that can enhance the viability of the special library within its parent organization. (FM)

Preparing Preservice Teachers in a Virtual Space: A Case Study of a Literacy Methods Course

ERIC Educational Resources Information Center

Fayne, Harriet R.

2014-01-01

This article describes a case study of an online literacy methods course offered at a small, midwestern university. Formal and informal instruments were used to assess students' backgrounds, interests, and dispositions. Archival course data were analyzed to examine interactions among content, course design, and student characteristics. Despite…

Direct Care Workers' Experiences of Grief and Needs for Support

ERIC Educational Resources Information Center

Gray, Jennifer A.; Kim, Jinsook

2017-01-01

Background: A paucity of information is available on direct care workers' (DCWs') experiences with loss when their clients (people with intellectual and developmental disabilities [I/DD]) die. This study explored DCWs' grief experiences, their coping methods and their needs for support. Methods: A thematic analysis approach was used to examine…

Comparing object recognition from binary and bipolar edge images for visual prostheses

PubMed Central

Jung, Jae-Hyun; Pu, Tian; Peli, Eli

2017-01-01

Visual prostheses require an effective representation method due to the limited display condition which has only 2 or 3 levels of grayscale in low resolution. Edges derived from abrupt luminance changes in images carry essential information for object recognition. Typical binary (black and white) edge images have been used to represent features to convey essential information. However, in scenes with a complex cluttered background, the recognition rate of the binary edge images by human observers is limited and additional information is required. The polarity of edges and cusps (black or white features on a gray background) carries important additional information; the polarity may provide shape from shading information missing in the binary edge image. This depth information may be restored by using bipolar edges. We compared object recognition rates from 16 binary edge images and bipolar edge images by 26 subjects to determine the possible impact of bipolar filtering in visual prostheses with 3 or more levels of grayscale. Recognition rates were higher with bipolar edge images and the improvement was significant in scenes with complex backgrounds. The results also suggest that erroneous shape from shading interpretation of bipolar edges resulting from pigment rather than boundaries of shape may confound the recognition. PMID:28458481

Living microorganisms change the information (Shannon) content of a geophysical system.

PubMed

Tang, Fiona H M; Maggi, Federico

2017-06-12

The detection of microbial colonization in geophysical systems is becoming of interest in various disciplines of Earth and planetary sciences, including microbial ecology, biogeochemistry, geomicrobiology, and astrobiology. Microorganisms are often observed to colonize mineral surfaces, modify the reactivity of minerals either through the attachment of their own biomass or the glueing of mineral particles with their mucilaginous metabolites, and alter both the physical and chemical components of a geophysical system. Here, we hypothesise that microorganisms engineer their habitat, causing a substantial change to the information content embedded in geophysical measures (e.g., particle size and space-filling capacity). After proving this hypothesis, we introduce and test a systematic method that exploits this change in information content to detect microbial colonization in geophysical systems. Effectiveness and robustness of this method are tested using a mineral sediment suspension as a model geophysical system; tests are carried out against 105 experiments conducted with different suspension types (i.e., pure mineral and microbially-colonized) subject to different abiotic conditions, including various nutrient and mineral concentrations, and different background entropy production rates. Results reveal that this method can systematically detect microbial colonization with less than 10% error in geophysical systems with low-entropy background production rate.

Infrared maritime target detection using the high order statistic filtering in fractional Fourier domain

NASA Astrophysics Data System (ADS)

Zhou, Anran; Xie, Weixin; Pei, Jihong

2018-06-01

Accurate detection of maritime targets in infrared imagery under various sea clutter conditions is always a challenging task. The fractional Fourier transform (FRFT) is the extension of the Fourier transform in the fractional order, and has richer spatial-frequency information. By combining it with the high order statistic filtering, a new ship detection method is proposed. First, the proper range of angle parameter is determined to make it easier for the ship components and background to be separated. Second, a new high order statistic curve (HOSC) at each fractional frequency point is designed. It is proved that maximal peak interval in HOSC reflects the target information, while the points outside the interval reflect the background. And the value of HOSC relative to the ship is much bigger than that to the sea clutter. Then, search the curve's maximal target peak interval and extract the interval by bandpass filtering in fractional Fourier domain. The value outside the peak interval of HOSC decreases rapidly to 0, so the background is effectively suppressed. Finally, the detection result is obtained by the double threshold segmenting and the target region selection method. The results show the proposed method is excellent for maritime targets detection with high clutters.

Hybrid active contour model for inhomogeneous image segmentation with background estimation

NASA Astrophysics Data System (ADS)

Sun, Kaiqiong; Li, Yaqin; Zeng, Shan; Wang, Jun

2018-03-01

This paper proposes a hybrid active contour model for inhomogeneous image segmentation. The data term of the energy function in the active contour consists of a global region fitting term in a difference image and a local region fitting term in the original image. The difference image is obtained by subtracting the background from the original image. The background image is dynamically estimated from a linear filtered result of the original image on the basis of the varying curve locations during the active contour evolution process. As in existing local models, fitting the image to local region information makes the proposed model robust against an inhomogeneous background and maintains the accuracy of the segmentation result. Furthermore, fitting the difference image to the global region information makes the proposed model robust against the initial contour location, unlike existing local models. Experimental results show that the proposed model can obtain improved segmentation results compared with related methods in terms of both segmentation accuracy and initial contour sensitivity.

The potential of heart rate variability for exploring dental anxiety in mandibular third molar surgery.

PubMed

Le, S H; Tonami, K; Umemori, S; Nguyen, L T-B; Ngo, L T-Q; Mataki, S

2018-06-01

An objective method to recognize patient psychology using heart rate variability (HRV) has recently been developed and is increasingly being used in medical practice. This study compared the potential of this new method with the use of conventional surveys measuring anxiety levels in patients undergoing impacted third molar (ITM) surgery. Patient anxiety was examined before treatment in 64 adults who required ITM surgery, using two methods: measurement of HRV and conventional questionnaire surveys (state section of the State-Trait Anxiety Inventory (STAI-S) and Dental Fear Survey (DFS)). Both methods were assessed for their respective abilities to determine the impact of personal background, the amount of information provided, and the surgical procedure on patient psychology. Questionnaires and HRV yielded the same finding: dental experience was the single background factor that correlated with patient anxiety; the other factors remain unclear. The STAI-S showed a significant relationship between the information provided to the patient and their anxiety level, while the DFS and HRV did not. In addition, HRV demonstrated its ability to assess the effects of the surgical procedure on patient psychology. HRV demonstrated great potential as an objective method for evaluating patient stress, especially for providing real-time information on the patient's status. Copyright © 2018 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

Research on information security in big data era

NASA Astrophysics Data System (ADS)

Zhou, Linqi; Gu, Weihong; Huang, Cheng; Huang, Aijun; Bai, Yongbin

2018-05-01

Big data is becoming another hotspot in the field of information technology after the cloud computing and the Internet of Things. However, the existing information security methods can no longer meet the information security requirements in the era of big data. This paper analyzes the challenges and a cause of data security brought by big data, discusses the development trend of network attacks under the background of big data, and puts forward my own opinions on the development of security defense in technology, strategy and product.

Review of Private Sector Personnel Screening Practices

DTIC Science & Technology

2000-10-01

private sector investigative sources or methods would be useful to the DoD for conducting national security background investigations. The federal government by and large examines more sources and conducts more thorough investigations than industry. In general, private employers (1) have less access to information about applicants...outsource many elements of background checks. It is recommended that the DoD periodically evaluate private sector screening programs and data sources in order to monitor

New Technology for Libraries. A Layman's Guide to Reducing Public Library Costs and Improving Services through Scientific Methods and Tools. A Background Paper for the White House Conference on Library and Information Services.

ERIC Educational Resources Information Center

Weisbrod, David L.

This booklet, one of a series of background papers for the White House Conference, explores the potential of new technologies to improve library services while reducing library costs. Separate subsections describe the application of technology to the following library functions: acquisitions, catalogs and cataloging, serials control, circulation…

Screen for Carbon Dioxide.

ERIC Educational Resources Information Center

Foster, John; And Others

1986-01-01

Presents a set of laboratory experiments that can assist students in the detection of carbon dioxide. Offers a variation of the supported drop method of carbon dioxide detection that provides readily visible positive results. Includes background information on carbon dioxide. (ML)

50 CFR 84.12 - What are the information collection, record keeping, and reporting requirements?

Code of Federal Regulations, 2010 CFR

2010-10-01

... RESTORATION PROGRAM NATIONAL COASTAL WETLANDS CONSERVATION GRANT PROGRAM General Background § 84.12 What are... conserved, with a breakdown by conservation method (for example, acquired, restored, or both) and type of...

Earth Patrol.

ERIC Educational Resources Information Center

Menoche, Terri; And Others

This guide contains a series of lessons for elementary school students covering environmental issues including waste reduction and recycling, decomposition and composting, landfills, natural resources, energy sources and conservation, and water quality. The lessons include an objective, background information, method, and activities for…

Membranes and Films from Polymers.

ERIC Educational Resources Information Center

Blumberg, Avrom A.

1986-01-01

Provides background information on polymeric films and membranes including production methods, special industrial and medical applications, laboratory preparation, and an experimental investigation of a porous cellulose acetate membrane. Presents a demonstration to distinguish between high- and low-density polyethylene. (JM)

Reporting of Health Problems and Pain by Adults with an Intellectual Disability and by Their Carers

ERIC Educational Resources Information Center

Turk, Vicky; Khattran, Sukhjinder; Kerry, Sally; Corney, Roslyn; Painter, Kerry

2012-01-01

Background: Information about the health of people with ID is usually obtained from professionals and carers. Little is known about what health problems people with ID report they experience, and whether this differs from their carers' reports. Method: A secondary analysis of health information provided by participants with ID and/or their matched…

The Effects of Training on the Ability of Adults with an Intellectual Disability to Give Informed Consent to Medication

ERIC Educational Resources Information Center

Ferguson, L.; Murphy, G. H.

2014-01-01

Background: This study had two aims: to investigate the capacity of individuals with intellectual disabilities (ID) to make decisions about their medications, and to evaluate whether the provision of training (information) sessions on medications would increase their capacity. Method: Twenty-eight adults (18 male and 10 female), with a mild to…

CRAG (Composite Research Advisory Group) Test Methods for the Measurement of the Engineering Properties of Fibre Reinforced Plastics

DTIC Science & Technology

1988-02-01

Environmental effects Method 900 - Background information on environmental effects 78 Method 901 - Method of assessment of diffusivity properties of fibre... environmental conditioning. Strain gauges can sometimes fail during prolonged fatigue testing, and it is therefore prudent to undertake a secondary check...fibre volume fraction of the laminate as described in section 1000. (iv) The environmental history of the specimen prior to test. (v) The environmental

An Introduction of Finite Element Method in the Engineering Teaching at the University of Camaguey.

ERIC Educational Resources Information Center

Napoles, Elsa; Blanco, Ramon; Jimenez, Rafael; Mc.Pherson, Yoanka

This paper illuminates experiences related to introducing finite element methods (FEM) in mechanical and civil engineering courses at the University of Camaguey in Cuba and provides discussion on using FEM in postgraduate courses for industry engineers. Background information on the introduction of FEM in engineering teaching is focused on…

Soft X-ray astronomy using grazing incidence optics

NASA Technical Reports Server (NTRS)

Davis, John M.

1989-01-01

The instrumental background of X-ray astronomy with an emphasis on high resolution imagery is outlined. Optical and system performance, in terms of resolution, are compared and methods for improving the latter in finite length instruments described. The method of analysis of broadband images to obtain diagnostic information is described and is applied to the analysis of coronal structures.

Exploratory and spatial data analysis (EDA-SDA) for determining regional background levels and anomalies of potentially toxic elements in soils from Catorce-Matehuala, Mexico

USGS Publications Warehouse

Chiprés, J.A.; Castro-Larragoitia, J.; Monroy, M.G.

2009-01-01

The threshold between geochemical background and anomalies can be influenced by the methodology selected for its estimation. Environmental evaluations, particularly those conducted in mineralized areas, must consider this when trying to determinate the natural geochemical status of a study area, quantifying human impacts, or establishing soil restoration values for contaminated sites. Some methods in environmental geochemistry incorporate the premise that anomalies (natural or anthropogenic) and background data are characterized by their own probabilistic distributions. One of these methods uses exploratory data analysis (EDA) on regional geochemical data sets coupled with a geographic information system (GIS) to spatially understand the processes that influence the geochemical landscape in a technique that can be called a spatial data analysis (SDA). This EDA-SDA methodology was used to establish the regional background range from the area of Catorce-Matehuala in north-central Mexico. Probability plots of the data, particularly for those areas affected by human activities, show that the regional geochemical background population is composed of smaller subpopulations associated with factors such as soil type and parent material. This paper demonstrates that the EDA-SDA method offers more certainty in defining thresholds between geochemical background and anomaly than a numeric technique, making it a useful tool for regional geochemical landscape analysis and environmental geochemistry studies.

Commercial Building Tenant Energy Usage Data Aggregation and Privacy: Technical Appendix

DOE Office of Scientific and Technical Information (OSTI.GOV)

Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.

2014-11-12

This technical appendix accompanies report PNNL–23786 “Commercial Building Tenant Energy Usage Data Aggregation and Privacy”. The objective is to provide background information on the methods utilized in the statistical analysis of the aggregation thresholds.

Going Beyond, Going Further: The Preparation of Acid-Base Titration Curves.

ERIC Educational Resources Information Center

McClendon, Michael

1984-01-01

Background information, list of materials needed, and procedures used are provided for a simple technique for generating mechanically plotted acid-base titration curves. The method is suitable for second-year high school chemistry students. (JN)

Infrared Spectroscopy of Deuterated Compounds.

ERIC Educational Resources Information Center

MacCarthy, Patrick

1985-01-01

Background information, procedures used, and typical results obtained are provided for an experiment (based on the potassium bromide pressed-pellet method) involving the infrared spectroscopy of deuterated compounds. Deuteration refers to deuterium-hydrogen exchange at active hydrogen sites in the molecule. (JN)

Science Matters.

ERIC Educational Resources Information Center

Blanchard, Pam

2000-01-01

Describes Louisiana Sea Grant's most recent marine education program, the coastal Ecosystem Stewardship project. Its purpose is to provide students with background information on wetlands management issues; training in basic water quality monitoring methods, data collection, and manipulation; and opportunities to participate in a restoration…

A method to characterise site, urban and regional ambient background radiation.

PubMed

Passmore, C; Kirr, M

2011-03-01

Control dosemeters are routinely provided to customers to monitor the background radiation so that it can be subtracted from the gross response of the dosemeter to arrive at the occupational dose. Landauer, the largest dosimetry processor in the world with subsidiaries in Australia, Brazil, China, France, Japan, Mexico and the UK, has clients in approximately 130 countries. The Glenwood facility processes over 1.1 million controls per year. This network of clients around the world provides a unique ability to monitor the world's ambient background radiation. Control data can be mined to provide useful historical information regarding ambient background rates and provide a historical baseline for geographical areas. Historical baseline can be used to provide site or region-specific background subtraction values, document the variation in ambient background radiation around a client's site or provide a baseline for measuring the efficiency of clean-up efforts in urban areas after a dirty bomb detonation.

Monte Carlo Bayesian Inference on a Statistical Model of Sub-gridcolumn Moisture Variability Using High-resolution Cloud Observations . Part II; Sensitivity Tests and Results

NASA Technical Reports Server (NTRS)

da Silva, Arlindo M.; Norris, Peter M.

2013-01-01

Part I presented a Monte Carlo Bayesian method for constraining a complex statistical model of GCM sub-gridcolumn moisture variability using high-resolution MODIS cloud data, thereby permitting large-scale model parameter estimation and cloud data assimilation. This part performs some basic testing of this new approach, verifying that it does indeed significantly reduce mean and standard deviation biases with respect to the assimilated MODIS cloud optical depth, brightness temperature and cloud top pressure, and that it also improves the simulated rotational-Ramman scattering cloud optical centroid pressure (OCP) against independent (non-assimilated) retrievals from the OMI instrument. Of particular interest, the Monte Carlo method does show skill in the especially difficult case where the background state is clear but cloudy observations exist. In traditional linearized data assimilation methods, a subsaturated background cannot produce clouds via any infinitesimal equilibrium perturbation, but the Monte Carlo approach allows finite jumps into regions of non-zero cloud probability. In the example provided, the method is able to restore marine stratocumulus near the Californian coast where the background state has a clear swath. This paper also examines a number of algorithmic and physical sensitivities of the new method and provides guidance for its cost-effective implementation. One obvious difficulty for the method, and other cloud data assimilation methods as well, is the lack of information content in the cloud observables on cloud vertical structure, beyond cloud top pressure and optical thickness, thus necessitating strong dependence on the background vertical moisture structure. It is found that a simple flow-dependent correlation modification due to Riishojgaard (1998) provides some help in this respect, by better honoring inversion structures in the background state.

Monte Carlo Bayesian Inference on a Statistical Model of Sub-Gridcolumn Moisture Variability using High-Resolution Cloud Observations

NASA Astrophysics Data System (ADS)

Norris, P. M.; da Silva, A. M., Jr.

2016-12-01

Norris and da Silva recently published a method to constrain a statistical model of sub-gridcolumn moisture variability using high-resolution satellite cloud data. The method can be used for large-scale model parameter estimation or cloud data assimilation (CDA). The gridcolumn model includes assumed-PDF intra-layer horizontal variability and a copula-based inter-layer correlation model. The observables used are MODIS cloud-top pressure, brightness temperature and cloud optical thickness, but the method should be extensible to direct cloudy radiance assimilation for a small number of channels. The algorithm is a form of Bayesian inference with a Markov chain Monte Carlo (MCMC) approach to characterizing the posterior distribution. This approach is especially useful in cases where the background state is clear but cloudy observations exist. In traditional linearized data assimilation methods, a subsaturated background cannot produce clouds via any infinitesimal equilibrium perturbation, but the Monte Carlo approach is not gradient-based and allows jumps into regions of non-zero cloud probability. In the example provided, the method is able to restore marine stratocumulus near the Californian coast where the background state has a clear swath. The new approach not only significantly reduces mean and standard deviation biases with respect to the assimilated observables, but also improves the simulated rotational-Ramman scattering cloud optical centroid pressure against independent (non-assimilated) retrievals from the OMI instrument. One obvious difficulty for the method, and other CDA methods, is the lack of information content in passive cloud observables on cloud vertical structure, beyond cloud-top and thickness, thus necessitating strong dependence on the background vertical moisture structure. It is found that a simple flow-dependent correlation modification due to Riishojgaard is helpful, better honoring inversion structures in the background state.

Combining rules, background knowledge and change patterns to maintain semantic annotations.

PubMed

Cardoso, Silvio Domingos; Chantal, Reynaud-Delaître; Da Silveira, Marcos; Pruski, Cédric

2017-01-01

Knowledge Organization Systems (KOS) play a key role in enriching biomedical information in order to make it machine-understandable and shareable. This is done by annotating medical documents, or more specifically, associating concept labels from KOS with pieces of digital information, e.g., images or texts. However, the dynamic nature of KOS may impact the annotations, thus creating a mismatch between the evolved concept and the associated information. To solve this problem, methods to maintain the quality of the annotations are required. In this paper, we define a framework based on rules, background knowledge and change patterns to drive the annotation adaption process. We evaluate experimentally the proposed approach in realistic cases-studies and demonstrate the overall performance of our approach in different KOS considering the precision, recall, F1-score and AUC value of the system.

Combining rules, background knowledge and change patterns to maintain semantic annotations

PubMed Central

Cardoso, Silvio Domingos; Chantal, Reynaud-Delaître; Da Silveira, Marcos; Pruski, Cédric

2017-01-01

Knowledge Organization Systems (KOS) play a key role in enriching biomedical information in order to make it machine-understandable and shareable. This is done by annotating medical documents, or more specifically, associating concept labels from KOS with pieces of digital information, e.g., images or texts. However, the dynamic nature of KOS may impact the annotations, thus creating a mismatch between the evolved concept and the associated information. To solve this problem, methods to maintain the quality of the annotations are required. In this paper, we define a framework based on rules, background knowledge and change patterns to drive the annotation adaption process. We evaluate experimentally the proposed approach in realistic cases-studies and demonstrate the overall performance of our approach in different KOS considering the precision, recall, F1-score and AUC value of the system. PMID:29854115

[Improved opportunities for the identification of people with a migrant background for mortality research using the example of Bremen].

PubMed

Makarova, N; Reiss, K; Zeeb, H; Razum, O; Spallek, J

2013-06-01

19.6% of Germany's population has a "migrant" background. Comprehensive epidemiological research on health and health development of this large, heterogeneous and increasingly important population group in Germany is still deficient. There is a lack of results on mortality and morbidity, particularly concerning chronic diseases and disease processes. The aim of this paper is to combine and to compare already applied methods with new methodological approaches for determining the vital status and the mortality of immigrants from Turkey and the former Soviet Union. For this purpose we used data from the state of Bremen (666 709 residents, last update 2010). We examined 2 methodological aspects: (i) possibilities for identifying immigrant background in the data of residents' registration office with different methods (onomastic, toponomastic, etc.) and (ii) opportunities for record linkage of the obtained data with the Bremen mortality index. Immigrants from Turkey and the former Soviet Union were successfully identified in databases of the residents' registration office by a combination of different methods. The combination of different methodological approaches proved to be considerably better than using one method only. Through the application of a name-based algorithm we found that Turkish immigrants comprise 6.9% of the total population living in Bremen. By combining the variables "citizenship" and "country of birth" the total population proportion of immigrants from the former Soviet Union was found to be 5%. We also identified the deceased immigrant population in Bremen. The information obtained from residents' registration office could be successfully linked by death register number with the data of the Bremen mortality index. This information can be used in further detailed mortality analyses. The results of this analysis show the existing opportunities to consider the heterogeneity of the German population in mortality research, especially by means of combination of different methods to identify the immigrant background. © Georg Thieme Verlag KG Stuttgart · New York.

The Antimicrobial Properties of Red Algae. The Fight of Your Life: Battling Bacteria.

ERIC Educational Resources Information Center

Case, Christine L.; Warner, Michael

2001-01-01

Describes a research project in which a professor and a student collaborated in the screening of macroscopic algae for antimicrobial properties. Includes background information, materials and methods, results, and a discussion of the experiment. (SAH)

Growing Plants in School.

ERIC Educational Resources Information Center

Salt, Bernard

1990-01-01

Background information on the methods and varieties used to demonstrate the cultivation of plants without the use of chemical pesticides is provided. Discussed are species and variety selection, growing plants from seed and from seedlings, soil preparation, using cuttings, useful crops, and pest control. (CW)

Celebrating Thanksgiving from Different Perspectives.

ERIC Educational Resources Information Center

Nelson, Jennifer

2002-01-01

Focuses on different methods to teach grades K-12 about Thanksgiving from an inclusive perspective. Provides background information and activities from the perspectives of Native Americans, such as teaching about the Wampanoag and Squanto tribes, and also from the perspective of the pilgrims. (CMK)

Modularization and Flexibilization.

ERIC Educational Resources Information Center

Van Meel, R. M.

Publications in the fields of educational science, organization theory, and project management were analyzed to identify the possibilities that modularization offers to institutions of higher professional education and to obtain background information for use in developing a method for modularization in higher professional education. It was…

Urban forest ecosystem services: A case study in Corvallis,Oregon

EPA Science Inventory

Background/Questions/Methods One EPA research focus is quantifying ecosystem services, benefits that ecosystems provide to humans, in order to promote informed natural resource management decisions and to assess the effectiveness of existing environmental policies. A case study...

Sexual Understanding, Sources of Information and Social Networks; the Reports of Young People with Intellectual Disabilities and Their Non-Disabled Peers

ERIC Educational Resources Information Center

Jahoda, A.; Pownall, J.

2014-01-01

Background: Sexual development plays a vital part in young people's emotional adjustment. Method: This study compared the sexual understanding of 30 adolescents with mild intellectual disabilities (ID) and 30 non-disabled adolescents, along with their reports of where they obtained sexual information, and the nature of their social networks…

Search Wide, Dig Deep: Literature Searching for Qualitative Research. An Analysis of the Publication Formats and Information Sources Used for Four Systematic Reviews in Public Health

ERIC Educational Resources Information Center

Stansfield, Claire; Brunton, Ginny; Rees, Rebecca

2014-01-01

Background: When literature searching for systematic reviews, it is good practice to search widely across different information sources. Little is known about the contributions of different publication formats (e.g. journal article and book chapter) and sources, especially for studies of people's views. Method: Studies from four reviews spanning…

Reconfigurable Control Design with Neural Network Augmentation for a Modified F-15 Aircraft

NASA Technical Reports Server (NTRS)

Burken, John J.

2007-01-01

The viewgraphs present background information about reconfiguration control design, design methods used for paper, control failure survivability results, and results and time histories of tests. Topics examined include control reconfiguration, general information about adaptive controllers, model reference adaptive control (MRAC), the utility of neural networks, radial basis functions (RBF) neural network outputs, neurons, and results of investigations of failures.

75 FR 36122 - Proposed Information Collection Request Submitted for Public Comment and Recommendations...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-24

... collection related to the 30 CFR 75.1716, 75.1716-1 and 75.1716-3. DATES: All comments must be received by...). SUPPLEMENTARY INFORMATION: I. Background Title 30 CFR 75.1716, 75.1716-1 and 75.1716-3 require operators of... with the rule title and may be submitted to MSHA by any of the following methods: (1) Electronic mail...

In-mine testing of a natural background sensor, part B

NASA Technical Reports Server (NTRS)

Martzloff, F. D.

1981-01-01

The capability of a natural background sensor for measuring the thickness of top coal on a longwall face was examined. The limitations on the time during which tests could be performed, and the roof conditions, did not produce readings of top coal measurements during the shearer operation. It was demonstrated that the system is capable to survive operating conditions in the mine environment, while the static tests confirmed that the natural background sensor approach is a valid method of measuring top coal thickness in mines where the roof rock provides a constant radiation level. It is concluded that the practical results will improve sequent development of an integrated vertical control system which is information from the natural background system.

Data Analysis and Data Mining: Current Issues in Biomedical Informatics

PubMed Central

Bellazzi, Riccardo; Diomidous, Marianna; Sarkar, Indra Neil; Takabayashi, Katsuhiko; Ziegler, Andreas; McCray, Alexa T.

2011-01-01

Summary Background Medicine and biomedical sciences have become data-intensive fields, which, at the same time, enable the application of data-driven approaches and require sophisticated data analysis and data mining methods. Biomedical informatics provides a proper interdisciplinary context to integrate data and knowledge when processing available information, with the aim of giving effective decision-making support in clinics and translational research. Objectives To reflect on different perspectives related to the role of data analysis and data mining in biomedical informatics. Methods On the occasion of the 50th year of Methods of Information in Medicine a symposium was organized, that reflected on opportunities, challenges and priorities of organizing, representing and analysing data, information and knowledge in biomedicine and health care. The contributions of experts with a variety of backgrounds in the area of biomedical data analysis have been collected as one outcome of this symposium, in order to provide a broad, though coherent, overview of some of the most interesting aspects of the field. Results The paper presents sections on data accumulation and data-driven approaches in medical informatics, data and knowledge integration, statistical issues for the evaluation of data mining models, translational bioinformatics and bioinformatics aspects of genetic epidemiology. Conclusions Biomedical informatics represents a natural framework to properly and effectively apply data analysis and data mining methods in a decision-making context. In the future, it will be necessary to preserve the inclusive nature of the field and to foster an increasing sharing of data and methods between researchers. PMID:22146916

Exploring Encoding and Retrieval Effects of Background Information on Text Memory

ERIC Educational Resources Information Center

Rawson, Katherine A.; Kintsch, Walter

2004-01-01

Two experiments were conducted (a) to evaluate how providing background information at test may benefit retrieval and (b) to further examine how providing background information prior to study influences encoding. Half of the participants read background information prior to study, and the other half did not. In each group, half were presented…

Extracting information in spike time patterns with wavelets and information theory.

PubMed

Lopes-dos-Santos, Vítor; Panzeri, Stefano; Kayser, Christoph; Diamond, Mathew E; Quian Quiroga, Rodrigo

2015-02-01

We present a new method to assess the information carried by temporal patterns in spike trains. The method first performs a wavelet decomposition of the spike trains, then uses Shannon information to select a subset of coefficients carrying information, and finally assesses timing information in terms of decoding performance: the ability to identify the presented stimuli from spike train patterns. We show that the method allows: 1) a robust assessment of the information carried by spike time patterns even when this is distributed across multiple time scales and time points; 2) an effective denoising of the raster plots that improves the estimate of stimulus tuning of spike trains; and 3) an assessment of the information carried by temporally coordinated spikes across neurons. Using simulated data, we demonstrate that the Wavelet-Information (WI) method performs better and is more robust to spike time-jitter, background noise, and sample size than well-established approaches, such as principal component analysis, direct estimates of information from digitized spike trains, or a metric-based method. Furthermore, when applied to real spike trains from monkey auditory cortex and from rat barrel cortex, the WI method allows extracting larger amounts of spike timing information. Importantly, the fact that the WI method incorporates multiple time scales makes it robust to the choice of partly arbitrary parameters such as temporal resolution, response window length, number of response features considered, and the number of available trials. These results highlight the potential of the proposed method for accurate and objective assessments of how spike timing encodes information. Copyright © 2015 the American Physiological Society.

Importance of background values in assessing the impact of heavy metals in river ecosystems: case study of Tisza River, Serbia.

PubMed

Štrbac, Snežana; Kašanin Grubin, Milica; Vasić, Nebojša

2017-11-30

The main objective of this paper is to evaluate how a choice of different background values may affect assessing the anthropogenic heavy metal pollution in sediments from Tisza River (Serbia). The second objective of this paper is to underline significance of using geochemical background values when establishing quality criteria for sediment. Enrichment factor (EF), geoaccumulation index (I geo ), pollution load index (PLI), and potential ecological risk index (PERI) were calculated using different background values. Three geochemical (average metal concentrations in continental crust, average metal concentrations in shale, and average metal concentrations in non-contaminated core sediment samples) and two statistical methods (delineation method and principal component analyses) were used for calculating background values. It can be concluded that obtained information of pollution status can be more dependent on the use of background values than the index/factor chosen. The best option to assess the potential river sediment contamination is to compare obtained concentrations of analyzed elements with concentrations of mineralogically and texturally comparable, uncontaminated core sediment samples. Geochemical background values should be taken into account when establishing quality criteria for soils, sediments, and waters. Due to complexity of the local lithology, it is recommended that environmental monitoring and assessment include selection of an appropriate background values to gain understanding of the geochemistry and potential source of pollution in a given environment.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zeguers, Maaike; Haes, Hanneke C.J.M. de; Zandbelt, Linda C.

Purpose: To establish 1) further psychometric properties of the information preference for radiotherapy patients scale (IPRP); 2) what information new radiotherapy patients want to receive; 3) which patients have a lower information need. Methods and Materials: Eligible patients (n = 159; response rate 54%) of 15 radiation oncologists completed the IPRP and provided background characteristics before their first radiotherapy consultation. Exclusion criteria were: age <18 years, having undergone radiotherapy before, unable to read and write Dutch, cognitive problems or a brain tumor. Results: Reliability (Cronbach's alpha 0.84-0.97) and concurrent validity (r from .39 to .57, p < 0.001) of themore » subscales of the IPRP were good. New radiotherapy patients want extensive information about their disease, treatment, procedures, side effects, and prognosis (mean scores between 4.1 and 4.4 on a scale from 1 to 5) but less information about psychosocial issues (mean = 3.4). Patients who are older and male, have lung or rectal cancer, more difficulty understanding and a higher trait anxiety level, need less information. Conclusions: The IPRP can reliably and validly address information needs of patients undergoing radiation treatment. Most new radiotherapy patients want much information. Yet, information giving should be tailored according to their background, understanding and anxiety.« less

Pre-School Education--Aims, Methods and Problems. Report of a Symposium (Venice, Italy, October 11-16, 1971).

ERIC Educational Resources Information Center

Council of Europe, Strasbourg (France). Committee for General and Technical Education.

This report provides a summary of the proceedings and recommendations of the Council of Europe symposium on preschool education held in Venice, Italy in 1971. The report is divided into three major areas: (1) historical background information; (2) summaries of general lectures, especially dealing with the functions, aims, methods, and problems of…

Novel Hyperspectral Anomaly Detection Methods Based on Unsupervised Nearest Regularized Subspace

NASA Astrophysics Data System (ADS)

Hou, Z.; Chen, Y.; Tan, K.; Du, P.

2018-04-01

Anomaly detection has been of great interest in hyperspectral imagery analysis. Most conventional anomaly detectors merely take advantage of spectral and spatial information within neighboring pixels. In this paper, two methods of Unsupervised Nearest Regularized Subspace-based with Outlier Removal Anomaly Detector (UNRSORAD) and Local Summation UNRSORAD (LSUNRSORAD) are proposed, which are based on the concept that each pixel in background can be approximately represented by its spatial neighborhoods, while anomalies cannot. Using a dual window, an approximation of each testing pixel is a representation of surrounding data via a linear combination. The existence of outliers in the dual window will affect detection accuracy. Proposed detectors remove outlier pixels that are significantly different from majority of pixels. In order to make full use of various local spatial distributions information with the neighboring pixels of the pixels under test, we take the local summation dual-window sliding strategy. The residual image is constituted by subtracting the predicted background from the original hyperspectral imagery, and anomalies can be detected in the residual image. Experimental results show that the proposed methods have greatly improved the detection accuracy compared with other traditional detection method.

Quantum Approach to Informatics

NASA Astrophysics Data System (ADS)

Stenholm, Stig; Suominen, Kalle-Antti

2005-08-01

An essential overview of quantum information Information, whether inscribed as a mark on a stone tablet or encoded as a magnetic domain on a hard drive, must be stored in a physical object and thus made subject to the laws of physics. Traditionally, information processing such as computation occurred in a framework governed by laws of classical physics. However, information can also be stored and processed using the states of matter described by non-classical quantum theory. Understanding this quantum information, a fundamentally different type of information, has been a major project of physicists and information theorists in recent years, and recent experimental research has started to yield promising results. Quantum Approach to Informatics fills the need for a concise introduction to this burgeoning new field, offering an intuitive approach for readers in both the physics and information science communities, as well as in related fields. Only a basic background in quantum theory is required, and the text keeps the focus on bringing this theory to bear on contemporary informatics. Instead of proofs and other highly formal structures, detailed examples present the material, making this a uniquely accessible introduction to quantum informatics. Topics covered include: * An introduction to quantum information and the qubit * Concepts and methods of quantum theory important for informatics * The application of information concepts to quantum physics * Quantum information processing and computing * Quantum gates * Error correction using quantum-based methods * Physical realizations of quantum computing circuits A helpful and economical resource for understanding this exciting new application of quantum theory to informatics, Quantum Approach to Informatics provides students and researchers in physics and information science, as well as other interested readers with some scientific background, with an essential overview of the field.

Background recovery via motion-based robust principal component analysis with matrix factorization

NASA Astrophysics Data System (ADS)

Pan, Peng; Wang, Yongli; Zhou, Mingyuan; Sun, Zhipeng; He, Guoping

2018-03-01

Background recovery is a key technique in video analysis, but it still suffers from many challenges, such as camouflage, lighting changes, and diverse types of image noise. Robust principal component analysis (RPCA), which aims to recover a low-rank matrix and a sparse matrix, is a general framework for background recovery. The nuclear norm is widely used as a convex surrogate for the rank function in RPCA, which requires computing the singular value decomposition (SVD), a task that is increasingly costly as matrix sizes and ranks increase. However, matrix factorization greatly reduces the dimension of the matrix for which the SVD must be computed. Motion information has been shown to improve low-rank matrix recovery in RPCA, but this method still finds it difficult to handle original video data sets because of its batch-mode formulation and implementation. Hence, in this paper, we propose a motion-assisted RPCA model with matrix factorization (FM-RPCA) for background recovery. Moreover, an efficient linear alternating direction method of multipliers with a matrix factorization (FL-ADM) algorithm is designed for solving the proposed FM-RPCA model. Experimental results illustrate that the method provides stable results and is more efficient than the current state-of-the-art algorithms.

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.

PubMed

Bi, Lei; Kim, Jinman; Ahn, Euijoon; Kumar, Ashnil; Fulham, Michael; Feng, Dagan

2017-09-01

Segmentation of skin lesions is an important step in the automated computer aided diagnosis of melanoma. However, existing segmentation methods have a tendency to over- or under-segment the lesions and perform poorly when the lesions have fuzzy boundaries, low contrast with the background, inhomogeneous textures, or contain artifacts. Furthermore, the performance of these methods are heavily reliant on the appropriate tuning of a large number of parameters as well as the use of effective preprocessing techniques, such as illumination correction and hair removal. We propose to leverage fully convolutional networks (FCNs) to automatically segment the skin lesions. FCNs are a neural network architecture that achieves object detection by hierarchically combining low-level appearance information with high-level semantic information. We address the issue of FCN producing coarse segmentation boundaries for challenging skin lesions (e.g., those with fuzzy boundaries and/or low difference in the textures between the foreground and the background) through a multistage segmentation approach in which multiple FCNs learn complementary visual characteristics of different skin lesions; early stage FCNs learn coarse appearance and localization information while late-stage FCNs learn the subtle characteristics of the lesion boundaries. We also introduce a new parallel integration method to combine the complementary information derived from individual segmentation stages to achieve a final segmentation result that has accurate localization and well-defined lesion boundaries, even for the most challenging skin lesions. We achieved an average Dice coefficient of 91.18% on the ISBI 2016 Skin Lesion Challenge dataset and 90.66% on the PH2 dataset. Our extensive experimental results on two well-established public benchmark datasets demonstrate that our method is more effective than other state-of-the-art methods for skin lesion segmentation.

Method of recognizing the high-speed railway noise barriers based on the distance image

NASA Astrophysics Data System (ADS)

Ma, Le; Shao, Shuangyun; Feng, Qibo; Liu, Bingqian; Kim, Chol Ryong

2016-10-01

The damage or lack of the noise barriers is one of the important hidden troubles endangering the safety of high-speed railway. In order to obtain the vibration information of the noise barriers, the online detection systems based on laser vision were proposed. The systems capture images of the laser stripe on the noise barriers and export data files containing distance information between the detection systems on the train and the noise barriers. The vibration status or damage of the noise barriers can be estimated depending on the distance information. In this paper, we focused on the method of separating the area of noise barrier from the background automatically. The test results showed that the proposed method is in good efficiency and accuracy.

GMDD: a database of GMO detection methods

PubMed Central

Dong, Wei; Yang, Litao; Shen, Kailin; Kim, Banghyun; Kleter, Gijs A; Marvin, Hans JP; Guo, Rong; Liang, Wanqi; Zhang, Dabing

2008-01-01

Background Since more than one hundred events of genetically modified organisms (GMOs) have been developed and approved for commercialization in global area, the GMO analysis methods are essential for the enforcement of GMO labelling regulations. Protein and nucleic acid-based detection techniques have been developed and utilized for GMOs identification and quantification. However, the information for harmonization and standardization of GMO analysis methods at global level is needed. Results GMO Detection method Database (GMDD) has collected almost all the previous developed and reported GMOs detection methods, which have been grouped by different strategies (screen-, gene-, construct-, and event-specific), and also provide a user-friendly search service of the detection methods by GMO event name, exogenous gene, or protein information, etc. In this database, users can obtain the sequences of exogenous integration, which will facilitate PCR primers and probes design. Also the information on endogenous genes, certified reference materials, reference molecules, and the validation status of developed methods is included in this database. Furthermore, registered users can also submit new detection methods and sequences to this database, and the newly submitted information will be released soon after being checked. Conclusion GMDD contains comprehensive information of GMO detection methods. The database will make the GMOs analysis much easier. PMID:18522755

Ecological periodic tables for nekton and benthic macrofaunal community usage of estuarine habitats

EPA Science Inventory

Background/Questions/Methods The chemical periodic table, the Linnaean system of classification, and the Hertzsprung-Russell diagram are iconic information organizing systems because they are simple, easy to understand, exceptionally useful, and they foster the expansion of sc...

Evaluation of Genetic Susceptibility to Childhood Allergy and Asthma in an African American Urban Population

EPA Science Inventory

Background: Asthma and allergy represent complex phenotypes, which disproportionately burden ethnic minorities in the United States. Strong evidence for genomic factors predisposing subjects to asthma/allergy is available. However, methods to utilize this information to identify ...

Ecosystem Services Linking People to Coastal Habitats

EPA Science Inventory

Background/Question/Methods: There is a growing need to incorporate and prioritize ecosystem services/condition information into land-use decision making. While there are a number of place-based studies looking at how land-use decisions affect the availability and delivery of coa...

Identification of Hotspots of Genetic Risk for Type 2 Diabetes Using GIS Methods

EPA Science Inventory

BACKGROUND: Having the ability to scan the entire country for potential "hotspots" with increased risk of developing chronic diseases due to various environmental, demographic, and genetic susceptibility factors may inform risk management decisions and enable better env...

Owl Pellets.

ERIC Educational Resources Information Center

Thompson, Craig D.

1987-01-01

Provides complete Project WILD lesson plans for 20-45-minute experiential science learning activity for grades 3-7 students. Describes how students construct a simple food chain through examination of owl pellets. Includes lesson objective, method, background information, materials, procedure, evaluation, and sources of owl pellets and posters.…

Chemical of the Month: Nitric Acid.

ERIC Educational Resources Information Center

Pannu, Sardul S.

1984-01-01

Presents background information on nitric acid including old names, history, occurrence, methods of preparation, uses, production, and price. Includes such chemical properties as decomposition; acidity, oxidation of metals and nonmetals; reactions with organic and inorganic compounds; gaseous fluorine; and nitrating properties. Also discusses bond…

The Motivations of Iranian Patients With Cardiovascular Disease to Seek Health Information: A Qualitative Study

PubMed Central

Gholami, Mohammad; Fallahi Khoshknab, Masoud; Khankeh, Hamid Reza; Ahmadi, Fazlollah; Maddah, Sadat Seyed Bagher; Mousavi Arfaa, Nazila

2016-01-01

Background Cardiovascular patients need information to preserve and promote their health, but not all of them have the necessary motivation to seek relevant health knowledge. Objectives The present study analyzed experiences of patients, family caregivers, and healthcare providers to explore the motivating factors that cause cardiovascular patients to seek important health information. Patients and Methods This study was conducted using a qualitative approach and conventional qualitative content analysis method. Thirty-six people, including 18 cardiovascular patients, 7 family caregivers, and 11 healthcare providers (from multidisciplinary backgrounds) participated in the study. The data were collected through semi-structured interviews and purposeful sampling and continued until data saturation. Data collection and analysis proceeded simultaneously and with constant comparison; this study was carried out from May 2012 to May 2013. Results During the analysis process, three main themes were extracted that characterized participants’ experiences, perceptions, and motivations to seek health information. The themes were “Optimizing quality of life, “Desire for personal rights to be respected,” and “Gaining confidence through consultation.” Conclusions Our findings showed that, through seeking information, patients try to achieve well-being and realize their personal rights as well as their right to security. They should also be encouraged to enhance their quality of life by using the Knowles’ learning theory to formulate their needs and learning priorities. PMID:27437128

People counting in classroom based on video surveillance

NASA Astrophysics Data System (ADS)

Zhang, Quanbin; Huang, Xiang; Su, Juan

2014-11-01

Currently, the switches of the lights and other electronic devices in the classroom are mainly relied on manual control, as a result, many lights are on while no one or only few people in the classroom. It is important to change the current situation and control the electronic devices intelligently according to the number and the distribution of the students in the classroom, so as to reduce the considerable waste of electronic resources. This paper studies the problem of people counting in classroom based on video surveillance. As the camera in the classroom can not get the full shape contour information of bodies and the clear features information of faces, most of the classical algorithms such as the pedestrian detection method based on HOG (histograms of oriented gradient) feature and the face detection method based on machine learning are unable to obtain a satisfied result. A new kind of dual background updating model based on sparse and low-rank matrix decomposition is proposed in this paper, according to the fact that most of the students in the classroom are almost in stationary state and there are body movement occasionally. Firstly, combining the frame difference with the sparse and low-rank matrix decomposition to predict the moving areas, and updating the background model with different parameters according to the positional relationship between the pixels of current video frame and the predicted motion regions. Secondly, the regions of moving objects are determined based on the updated background using the background subtraction method. Finally, some operations including binarization, median filtering and morphology processing, connected component detection, etc. are performed on the regions acquired by the background subtraction, in order to induce the effects of the noise and obtain the number of people in the classroom. The experiment results show the validity of the algorithm of people counting.

V-TECS Guide for Bookkeeping/Accounting/Payroll Clerk.

ERIC Educational Resources Information Center

Gregory, Margaret R.; Benson, Robert T.

This guide, an extension of the Vocational-Technical Education Consortium of States (V-TECS) catalog, includes such considerations as background information, decision-making skills, attitudes, and learning methods surrounding the occupations of bookkeeper/accountant/payroll clerk. The guide provides job-relevant task, performance objectives,…

Bibliography on methods of atmospheric visibility measurements relevant to air traffic control and related subjects

DOT National Transportation Integrated Search

1973-11-30

The bibliographical survey provides reference information and background material to assist in the selection of principles and measuring techniques which may be used in the development of future systems to measure Runway Visual Range (RVR), Slant Vis...

Polychlorinated biphenyl sources, environmental levels, and exposures in school buildings

EPA Science Inventory

Background: Building materials and components containing polychlorinated biphenyls (PCBs) were used in some U.S. school buildings until the late 1970s and may be present today. There is limited information on source factors and occupant exposures. Methods: Analysis of PCBs in mat...

Do Social Network Characteristics Predict Mammography Screening Practices?

ERIC Educational Resources Information Center

Allen, Jennifer D.; Stoddard, Anne M.; Sorensen, Glorian

2008-01-01

Background: Many breast cancer outreach programs assume that dissemination of information through social networks and provision of social support will promote screening. The authors prospectively examined the relationship between social network characteristics and adherence to screening guidelines. Method: Employed women age 40 years and older…

Clean, Safe Water. For How Long?

ERIC Educational Resources Information Center

Zenke, Pam

The document presents research and project-oriented activities at the secondary school level for studying Illinois' streams, water pollution, and methods for controlling pollution. Social, economic, and political issues are examined as part of the planning for pollution prevention. Following six teaching objectives, background information traces…

Perplexities and Provocations of Eating Disorders

ERIC Educational Resources Information Center

Halmi, Katherine A.

2009-01-01

Background: Etiological hypotheses of eating disorders, anorexia nervosa and bulimia nervosa have not produced informative research for predictably effective treatment. Methods: The rationale for applying a model of allostasis, a dysregulation of reward circuits with activation of brain and hormonal stress responses to maintain apparent stability,…

Spectral feature characterization methods for blood stain detection in crime scene backgrounds

NASA Astrophysics Data System (ADS)

Yang, Jie; Mathew, Jobin J.; Dube, Roger R.; Messinger, David W.

2016-05-01

Blood stains are one of the most important types of evidence for forensic investigation. They contain valuable DNA information, and the pattern of the stains can suggest specifics about the nature of the violence that transpired at the scene. Blood spectral signatures containing unique reflectance or absorption features are important both for forensic on-site investigation and laboratory testing. They can be used for target detection and identification applied to crime scene hyperspectral imagery, and also be utilized to analyze the spectral variation of blood on various backgrounds. Non-blood stains often mislead the detection and can generate false alarms at a real crime scene, especially for dark and red backgrounds. This paper measured the reflectance of liquid blood and 9 kinds of non-blood samples in the range of 350 nm - 2500 nm in various crime scene backgrounds, such as pure samples contained in petri dish with various thicknesses, mixed samples with different colors and materials of fabrics, and mixed samples with wood, all of which are examined to provide sub-visual evidence for detecting and recognizing blood from non-blood samples in a realistic crime scene. The spectral difference between blood and non-blood samples are examined and spectral features such as "peaks" and "depths" of reflectance are selected. Two blood stain detection methods are proposed in this paper. The first method uses index to denote the ratio of "depth" minus "peak" over"depth" add"peak" within a wavelength range of the reflectance spectrum. The second method uses relative band depth of the selected wavelength ranges of the reflectance spectrum. Results show that the index method is able to discriminate blood from non-blood samples in most tested crime scene backgrounds, but is not able to detect it from black felt. Whereas the relative band depth method is able to discriminate blood from non-blood samples on all of the tested background material types and colors.

What do we know about communicating risk? A brief review and suggestion for contextualising serious, but rare, risk, and the example of cox-2 selective and non-selective NSAIDs

PubMed Central

Moore, R Andrew; Derry, Sheena; McQuay, Henry J; Paling, John

2008-01-01

Background Communicating risk is difficult. Although different methods have been proposed – using numbers, words, pictures or combinations – none has been extensively tested. We used electronic and bibliographic searches to review evidence concerning risk perception and presentation. People tend to underestimate common risk and overestimate rare risk; they respond to risks primarily on the basis of emotion rather than facts, seem to be risk averse when faced with medical interventions, and want information on even the rarest of adverse events. Methods We identified observational studies (primarily in the form of meta-analyses) with information on individual non-steroidal anti-inflammatory drug (NSAID) or selective cyclooxygenase-2 inhibitor (coxib) use and relative risk of gastrointestinal bleed or cardiovascular event, the background rate of events in the absence of NSAID or coxib, and the likelihood of death from an event. Using this information we present the outcome of additional risk of death from gastrointestinal bleed and cardiovascular event for individual NSAIDs and coxibs alongside information about death from other causes in a series of perspective scales. Results The literature on communicating risk to patients is limited. There are problems with literacy, numeracy and the human tendency to overestimate rare risk and underestimate common risk. There is inconsistency in how people translate between numbers and words. We present a method of communicating information about serious risks using the common outcome of death, using pictures, numbers and words, and contextualising the information. The use of this method for gastrointestinal and cardiovascular harm with NSAIDs and coxibs shows differences between individual NSAIDs and coxibs. Conclusion Although contextualised risk information can be provided on two possible adverse events, many other possible adverse events with potential serious consequences were omitted. Patients and professionals want much information about risks of medical interventions but we do not know how best to meet expectations. The impact of contextualised information remains to be tested. PMID:18257914

Firefighters as distributors of workplace safety and health information to small businesses

PubMed Central

Keller, Brenna M.; Cunningham, Thomas R.

2016-01-01

Background Small businesses bear a large burden of injury and death, and are difficult to reach with occupational safety and health (OSH) information. The National Institute for Occupational Safety and Health (NIOSH) developed a pilot study testing the feasibility of fire departments disseminating OSH information to small businesses during fire inspections. Methods Two sets of postcards were developed with unique, trackable URLs for the NIOSH Small Business Resource Guide. One set was distributed by firefighters, the other was mailed to small businesses. Participating inspectors were met with to discuss their experience. Results Neither distribution method resulted in a substantial number of site visits. Inspectors believed distributing postcards was an easy addition to their duties, and saw value in safety information. Conclusions There are barriers beyond awareness of availability that prevent small business owners from seeking OSH information. Research should focus on identifying barriers and developing better OSH information diffusion mechanisms. PMID:27594768

Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution

NASA Astrophysics Data System (ADS)

Li, Jimeng; Li, Ming; Zhang, Jinfeng

2017-08-01

Rolling bearings are the key components in the modern machinery, and tough operation environments often make them prone to failure. However, due to the influence of the transmission path and background noise, the useful feature information relevant to the bearing fault contained in the vibration signals is weak, which makes it difficult to identify the fault symptom of rolling bearings in time. Therefore, the paper proposes a novel weak signal detection method based on time-delayed feedback monostable stochastic resonance (TFMSR) system and adaptive minimum entropy deconvolution (MED) to realize the fault diagnosis of rolling bearings. The MED method is employed to preprocess the vibration signals, which can deconvolve the effect of transmission path and clarify the defect-induced impulses. And a modified power spectrum kurtosis (MPSK) index is constructed to realize the adaptive selection of filter length in the MED algorithm. By introducing the time-delayed feedback item in to an over-damped monostable system, the TFMSR method can effectively utilize the historical information of input signal to enhance the periodicity of SR output, which is beneficial to the detection of periodic signal. Furthermore, the influence of time delay and feedback intensity on the SR phenomenon is analyzed, and by selecting appropriate time delay, feedback intensity and re-scaling ratio with genetic algorithm, the SR can be produced to realize the resonance detection of weak signal. The combination of the adaptive MED (AMED) method and TFMSR method is conducive to extracting the feature information from strong background noise and realizing the fault diagnosis of rolling bearings. Finally, some experiments and engineering application are performed to evaluate the effectiveness of the proposed AMED-TFMSR method in comparison with a traditional bistable SR method.

Image retrieval by information fusion based on scalable vocabulary tree and robust Hausdorff distance

NASA Astrophysics Data System (ADS)

Che, Chang; Yu, Xiaoyang; Sun, Xiaoming; Yu, Boyang

2017-12-01

In recent years, Scalable Vocabulary Tree (SVT) has been shown to be effective in image retrieval. However, for general images where the foreground is the object to be recognized while the background is cluttered, the performance of the current SVT framework is restricted. In this paper, a new image retrieval framework that incorporates a robust distance metric and information fusion is proposed, which improves the retrieval performance relative to the baseline SVT approach. First, the visual words that represent the background are diminished by using a robust Hausdorff distance between different images. Second, image matching results based on three image signature representations are fused, which enhances the retrieval precision. We conducted intensive experiments on small-scale to large-scale image datasets: Corel-9, Corel-48, and PKU-198, where the proposed Hausdorff metric and information fusion outperforms the state-of-the-art methods by about 13, 15, and 15%, respectively.

Inspection of timber bridges using stress wave timing nondestructive evaluation tools : a guide for use and interpretation

Treesearch

Robert J. Ross; Roy F. Pellerin; Norbert Volny; William W. Salsig; Robert H. Falk

1999-01-01

This guide was prepared to assist inspectors in the use of stress wave timing instruments and the various methods of locating and defining areas of decay in timber bridge members. The first two sections provide (a) background information regarding conventional methods to locate and measure decay in timber bridges and (b) the principles of stress wave nondestructive...

Stress wave timing nondestructive evaluation tools for inspecting historic structures : a guide for use and interpretation.

Treesearch

Robert Ross; Roy F. Pellerin; Norbert Volny; William W. Salsig; Robert H. Falk

2000-01-01

This guide was prepared to assist inspectors in the use of stress wave timing instruments and various methods of locating and defining areas of decay in timber members in historic structures. The first two sections provide (a) background information regarding conventional methods to locate and measure decay in historic structures and (b) the principles of stress wave...

Development of a Measure to Assess the Impact of Epilepsy on People with an Intellectual Disability: The Glasgow Epilepsy Outcome Scale-Client Version (GEOS-C)

ERIC Educational Resources Information Center

Watkins, J.; Espie, C. A.; Curtice, L.; Mantala, K.; Corp, A.; Foley, J.

2006-01-01

Background: Epilepsy is common in people with intellectual disability, yet clinicians and researchers seldom obtain information directly from the client. The development and preliminary validation of a novel measure for use with people with mild to moderate intellectual disabilities is described. Methods: Focus group methods (6 groups; 24…

Immersive Learning: Using a Web-Based Learning Tool in a PhD Course to Enhance the Learning Experience

ERIC Educational Resources Information Center

Ly, Samie Li Shang; Saadé, Raafat; Morin, Danielle

2017-01-01

Aim/Purpose: Teaching and learning is no longer the same and the paradigm shift has not settled yet. Information technology (IT) and its worldwide use impacts student learning methods and associated pedagogical models. Background: In this study we frame immersive learning as a method that we believe can be designed by pedagogical models such as…

Price Analysis on Commercial Item Purchases Within the Department of Defense

DTIC Science & Technology

2013-10-02

Department of Defense Introduction Background This research builds upon the work conducted in collaboration with the authors’ thesis students ...market research and price analysis methods . Most contract pricing of acquisitions was conducted using cost analysis before these reforms were added to...analysis methods are being used? b) Do market research reports refer to market information that improves the buyers’ understanding of pricing in the

Information categorization approach to literary authorship disputes

NASA Astrophysics Data System (ADS)

Yang, Albert C.-C.; Peng, C.-K.; Yien, H.-W.; Goldberger, Ary L.

2003-11-01

Scientific analysis of the linguistic styles of different authors has generated considerable interest. We present a generic approach to measuring the similarity of two symbolic sequences that requires minimal background knowledge about a given human language. Our analysis is based on word rank order-frequency statistics and phylogenetic tree construction. We demonstrate the applicability of this method to historic authorship questions related to the classic Chinese novel “The Dream of the Red Chamber,” to the plays of William Shakespeare, and to the Federalist papers. This method may also provide a simple approach to other large databases based on their information content.

[The validation of the effect of correcting spectral background changes based on floating reference method by simulation].

PubMed

Wang, Zhu-lou; Zhang, Wan-jie; Li, Chen-xi; Chen, Wen-liang; Xu, Ke-xin

2015-02-01

There are some challenges in near-infrared non-invasive blood glucose measurement, such as the low signal to noise ratio of instrument, the unstable measurement conditions, the unpredictable and irregular changes of the measured object, and etc. Therefore, it is difficult to extract the information of blood glucose concentrations from the complicated signals accurately. Reference measurement method is usually considered to be used to eliminate the effect of background changes. But there is no reference substance which changes synchronously with the anylate. After many years of research, our research group has proposed the floating reference method, which is succeeded in eliminating the spectral effects induced by the instrument drifts and the measured object's background variations. But our studies indicate that the reference-point will changes following the changing of measurement location and wavelength. Therefore, the effects of floating reference method should be verified comprehensively. In this paper, keeping things simple, the Monte Carlo simulation employing Intralipid solution with the concentrations of 5% and 10% is performed to verify the effect of floating reference method used into eliminating the consequences of the light source drift. And the light source drift is introduced through varying the incident photon number. The effectiveness of the floating reference method with corresponding reference-points at different wavelengths in eliminating the variations of the light source drift is estimated. The comparison of the prediction abilities of the calibration models with and without using this method shows that the RMSEPs of the method are decreased by about 98.57% (5%Intralipid)and 99.36% (10% Intralipid)for different Intralipid. The results indicate that the floating reference method has obvious effect in eliminating the background changes.

Dual-wavelength digital holographic imaging with phase background subtraction

NASA Astrophysics Data System (ADS)

Khmaladze, Alexander; Matz, Rebecca L.; Jasensky, Joshua; Seeley, Emily; Holl, Mark M. Banaszak; Chen, Zhan

2012-05-01

Three-dimensional digital holographic microscopic phase imaging of objects that are thicker than the wavelength of the imaging light is ambiguous and results in phase wrapping. In recent years, several unwrapping methods that employed two or more wavelengths were introduced. These methods compare the phase information obtained from each of the wavelengths and extend the range of unambiguous height measurements. A straightforward dual-wavelength phase imaging method is presented which allows for a flexible tradeoff between the maximum height of the sample and the amount of noise the method can tolerate. For highly accurate phase measurements, phase unwrapping of objects with heights higher than the beat (synthetic) wavelength (i.e. the product of the original two wavelengths divided by their difference), can be achieved. Consequently, three-dimensional measurements of a wide variety of biological systems and microstructures become technically feasible. Additionally, an effective method of removing phase background curvature based on slowly varying polynomial fitting is proposed. This method allows accurate volume measurements of several small objects with the same image frame.

[Symptoms, disease models and treatment experiences of patients in psychosomatic rehabilitation with and without a history of migration].

PubMed

Gruner, Andrea; Oster, Jörg; Müller, Gottfried; von Wietersheim, Jörn

2012-01-01

Previous studies have shown that psychosomatic rehabilitation treatments were less successful for patients with a migration background. These findings should be explored further with the help of interviews. The main aim of this study was to compare patients with and without a migration background with regards to social-demographic variables, disease model, symptoms, and the course and result of a psychosomatic rehabilitation treatment. 75 patients with and 75 without a migration background were analysed. Half-structured interviews were carried out at admission, discharge and three months after discharge from treatment. Patients with a migration background were "sicker" at the beginning of the rehabilitation. Especially men with a migration background benefit less from the treatment and often did not feel "at the right place" in the psychosomatic rehabilitation. Patients with a migration background have a more negative view of their work performance than patients without a migration background. Patient with a migration background should receive more information about psychosomatic disease models and different treatment methods prior to their rehabilitation therapy.

Methods for evaluating potential sources of chloride in surface waters and groundwaters of the conterminous United States

USGS Publications Warehouse

Granato, Gregory E.; DeSimone, Leslie A.; Barbaro, Jeffrey R.; Jeznach, Lillian C.

2015-09-04

Scientists, engineers, regulators, and decisionmakers need information about potential sources of chloride, water and solute budgets, and methods for collecting water-quality data to help identify potential sources. This information is needed to evaluate potential sources of chloride in areas where chloride may have adverse ecological effects or may degrade water supplies used for drinking water, agriculture, or industry. Knowledge of potential sources will help decisionmakers identify the best mitigation measures to reduce the total background chloride load, thereby reducing the potential for water-quality exceedances that occur because of superposition on rising background concentrations. Also, knowledge of potential sources may help decisionmakers identify the potential for the presence of contaminants that have toxic, carcinogenic, mutagenic, or endocrine-disrupting effects at concentrations that are lower by orders of magnitude than the chloride concentrations in the source water. This report is a comprehensive synthesis of relevant information, but it is not the result of an exhaustive search for literature on each topic. The potential adverse effects of chloride on infrastructure and the environment are not discussed in this report because these issues have been extensively documented elsewhere.

Estimating Time to the Common Ancestor for a Beneficial Allele

PubMed Central

Smith, Joel; Coop, Graham; Stephens, Matthew; Novembre, John

2018-01-01

Abstract The haplotypes of a beneficial allele carry information about its history that can shed light on its age and the putative cause for its increase in frequency. Specifically, the signature of an allele’s age is contained in the pattern of variation that mutation and recombination impose on its haplotypic background. We provide a method to exploit this pattern and infer the time to the common ancestor of a positively selected allele following a rapid increase in frequency. We do so using a hidden Markov model which leverages the length distribution of the shared ancestral haplotype, the accumulation of derived mutations on the ancestral background, and the surrounding background haplotype diversity. Using simulations, we demonstrate how the inclusion of information from both mutation and recombination events increases accuracy relative to approaches that only consider a single type of event. We also show the behavior of the estimator in cases where data do not conform to model assumptions, and provide some diagnostics for assessing and improving inference. Using the method, we analyze population-specific patterns in the 1000 Genomes Project data to estimate the timing of adaptation for several variants which show evidence of recent selection and functional relevance to diet, skin pigmentation, and morphology in humans. PMID:29361025

Low-template methods yield limited extra information for PowerPlex® Fusion 6C profiling.

PubMed

Duijs, Francisca; van de Merwe, Linda; Sijen, Titia; Benschop, Corina C G

2018-06-01

Advances in autosomal DNA profiling systems enable analyzing increased numbers of short tandem repeat (STR) loci in one reaction. Increasing the number of STR loci increases the amount of information that may be obtained from a (crime scene) sample. In this study, we examined whether even more allelic information can be obtained by applying low-template methods. To this aim, the performance of the PowerPlex® Fusion 6C STR typing system was assessed when increasing the number of PCR cycles or enhancing the capillary electrophoresis (CE) injection settings. Results show that applying these low-template methods yields limited extra information and comes at cost of more background noise. In addition, the gain in detection of alleles was much smaller when compared to the gain when applying low-template methods to the 15-loci AmpFLSTR® NGM™ system. Consequently, the PowerPlex® Fusion 6C STR typing system was implemented using standard settings only; low-template methods were not implemented for our routine forensic casework. Copyright © 2018 Elsevier B.V. All rights reserved.

Segmentation of the Speaker's Face Region with Audiovisual Correlation

NASA Astrophysics Data System (ADS)

Liu, Yuyu; Sato, Yoichi

The ability to find the speaker's face region in a video is useful for various applications. In this work, we develop a novel technique to find this region within different time windows, which is robust against the changes of view, scale, and background. The main thrust of our technique is to integrate audiovisual correlation analysis into a video segmentation framework. We analyze the audiovisual correlation locally by computing quadratic mutual information between our audiovisual features. The computation of quadratic mutual information is based on the probability density functions estimated by kernel density estimation with adaptive kernel bandwidth. The results of this audiovisual correlation analysis are incorporated into graph cut-based video segmentation to resolve a globally optimum extraction of the speaker's face region. The setting of any heuristic threshold in this segmentation is avoided by learning the correlation distributions of speaker and background by expectation maximization. Experimental results demonstrate that our method can detect the speaker's face region accurately and robustly for different views, scales, and backgrounds.

Planning and design of PGIS in Shanghai sub-civic center

NASA Astrophysics Data System (ADS)

Zhang, Baoyu; Tao, Yan; Gao, Fei

2011-10-01

To alleviate the road congestion caused by parking in urban CBD, Parking Guidance and Information System (PGIS) is paid more attention to many cities in China. It can provide effective parking information (such as the location and utilization of parking lots, the routes, the traffic situation around the parking lots) to drivers through many ways, so as to guide them to park successfully. In the paper, PGIS constructing in Shanghai Xujiahui area is taken as the background, methods and models about urban PGIS planning and design are discussed from the angle of traffic function. Fuzzy AHP is used to select parking lots which can be brought into PGIS. The principle and method of zoning guidance service range are established, the principle of information classification and guidance method of three levels are introduced. Finally, the detailed content of PGI signs is given.

Emotional First Aid: Crisis Development and Systems of Intervention.

ERIC Educational Resources Information Center

Rosenbluh, Edward S.; And Others

This instructional manual takes a developmental approach toward understanding the psychological, social and behavioral dynamics of human crisis. The manual describes the behavior patterns characterizing various psychological and physical crises, and provides background information and methods of crisis intervention with which to manage each. In…

Merchandising. Michigan School Food Service Training Manual.

ERIC Educational Resources Information Center

Michigan State Univ., East Lansing. Cooperative Extension Service.

The Merchandising Food Service Training Manual contains 12 lessons and 2 appendixes. Class activities and handouts are interspersed among techniques for selling and merchandising meals, information about life value roles and how food participants may improve public images, material about customers' backgrounds and attitudes, methods of competitors…

Confirmatory and Competitive Evaluation of Alternative Gene-Environment Interaction Hypotheses

ERIC Educational Resources Information Center

Belsky, Jay; Pluess, Michael; Widaman, Keith F.

2013-01-01

Background: Most gene-environment interaction (GXE) research, though based on clear, vulnerability-oriented hypotheses, is carried out using exploratory rather than hypothesis-informed statistical tests, limiting power and making formal evaluation of competing GXE propositions difficult. Method: We present and illustrate a new regression technique…

Analytical Determination of Fluoride Ion Using Gran's Semi-Antilog Plot.

ERIC Educational Resources Information Center

Barnhard, Ralph J.

1983-01-01

A quantitative determination for fluoride ion using a commercially available fluoride electrode is described. The procedure referred to as known-addition is employed with the data processed on Gran's Plot Paper. Background information, experimental procedures, and advantages/disadvantages of the method are discussed. (JN)

Association between Markers of Classroom Environmental Conditions and Teachers' Respiratory Health

ERIC Educational Resources Information Center

Claudio, Luz; Rivera, Glory A.; Ramirez, Olivia F.

2016-01-01

Background: Studies have assessed health in schoolchildren. Less is known about the environmental and occupational health of teachers. Methods: A cross-sectional survey of teachers was conducted in 24 randomly selected public elementary schools. Questionnaire included sociodemographic information, healthcare, school conditions, and health…

Food, Energy, and The Environment: Alternatives for Creating New Lifestyles.

ERIC Educational Resources Information Center

Sorrells, Nancy R.; Pimentel, David

1981-01-01

Provides background information on the interdependency of agriculture and ecological and social systems. Discusses in detail: (1) fossil energy and food production; (2) energy-intensive agriculture and environmental pollution; and (3) methods for developing alternatives. Includes recommendations to conserve fossil energy used in current food…

Application of Research on the Metallogenic Background in the Assessment of Mineral Resources Potentiality

NASA Astrophysics Data System (ADS)

Jia, D.; Feng, Y.; Liu, J.; Yao, X.; Zhang, Z.; Ye, T.

2017-12-01

1. Working BackgroundCurrent Status of Geological Prospecting: Detecting boundaries and bottoms, making ore search nearby; Seeing the stars, not seeing the Moon; Deep prospecting, undesirable results. The reasons of these problems are the regional metallogenic backgroud unclear and the metallogenic backgroud of the exploration regions unknown. Accordingly, Development and Research Center, CGS organized a geological setting research, in detail investigate metallogenic geological features and acquire mineralization information. 2. Technical SchemeCore research content is prediction elements of Metallogenic Structure. Adopt unified technical requirements from top to bottom, and technical route from bottom to top; Divide elements of mineral forecast and characteristics of geological structure into five elements for research and expression; Make full use of geophysical, geochemical and remote sensing inferences for the interpretation of macro information. After eight years the great project was completed. 3. Main AchievementsInnovation of basic maps compilation content of geological background, reinforce of geological structure data base of potentiality valuation. Preparation of geotectonic facies maps in different scales and professions, providing brand-new geologic background for potentiality assessment, promoting Chinese geotectonic research to the new height. Preparation of 3,375 geological structure thematic base maps of detecting working area in 6 kinds of prediction methods, providing base working maps, rock assemblage, structure of the protolith of geologic body / mineralization / ore controlling for mineral prediction of 25 ores. Enrichment and development of geotectonic facies analysis method, establishment of metallogenic background research thoughts and approach system for assessment of national mineral resources potentiality for the first time. 4. Application EffectOrientation——More and better results with less effort. Positioning——Have a definite object in view. Heart calm down——Confidence.

Effects of background stimulation upon eye-movement information.

PubMed

Nakamura, S

1996-04-01

To investigate the effects of background stimulation upon eye-movement information (EMI), the perceived deceleration of the target motion during pursuit eye movement (Aubert-Fleishl paradox) was analyzed. In the experiment, a striped pattern was used as a background stimulus with various brightness contrasts and spatial frequencies for serially manipulating the attributions of the background stimulus. Analysis showed that the retinal-image motion of the background stimulus (optic flow) affected eye-movement information and that the effects of optic flow became stronger when high contrast and low spatial frequency stripes were presented as the background stimulus. In conclusion, optic flow is one source of eye-movement information in determining real object motion, and the effectiveness of optic flow depends on the attributes of the background stimulus.

Effects of background motion on eye-movement information.

PubMed

Nakamura, S

1997-02-01

The effect of background stimulus on eye-movement information was investigated by analyzing the underestimation of the target velocity during pursuit eye movement (Aubert-Fleishl paradox). In the experiment, a striped pattern with various brightness contrasts and spatial frequencies was used as a background stimulus, which was moved at various velocities. Analysis showed that the perceived velocity of the pursuit target, which indicated the magnitudes of eye-movement information, decreased when the background stripes moved in the same direction as eye movement at higher velocities and increased when the background moved in the opposite direction. The results suggest that the eye-movement information varied as a linear function of the velocity of the motion of the background retinal image (optic flow). In addition, the effectiveness of optic flow on eye-movement information was determined by the attributes of the background stimulus such as the brightness contrast or the spatial frequency of the striped pattern.

Evaluation research of small and medium-sized enterprise informatization on big data

NASA Astrophysics Data System (ADS)

Yang, Na

2017-09-01

Under the background of big data, key construction of small and medium-sized enterprise informationization level was needed, but information construction cost was large, while information cost of inputs can bring benefit to small and medium-sized enterprises. This paper established small and medium-sized enterprise informatization evaluation system from hardware and software security level, information organization level, information technology application and the profit level, and information ability level. The rough set theory was used to brief indexes, and then carry out evaluation by support vector machine (SVM) model. At last, examples were used to verify the theory in order to prove the effectiveness of the method.

How do hospitalised patients with Turkish migration background estimate their language skills and their comprehension of medical information – a prospective cross-sectional study and comparison to native patients in Germany to assess the language barrier and the need for translation

PubMed Central

2013-01-01

Background Today more than two million people with Turkish migration background live in Germany making them the largest ethnic minority in the country. Data concerning language skills and the perception of medical information in hospitalised patients with Turkish migration background (T) are scarce. Our study is the first to gather quantitative information on this important subject. Methods T and hospitalised German patients without migration background (G) of our university hospital were prospectively included into a cross-sectional study and completed a questionnaire - each group in the appropriate language (T: Turkish, G: German). Results 121 T and 121 G were included. Groups significantly differed in age (T: 44.9 ± 17.8, G: 56.9 ± 16.7y) and proportion of males (T: 37.2, G: 54.5%) but not regarding the proportion of college graduates (T: 19.3, G: 15.7%). The majority of T was born in Turkey (71%) and is of Turkish nationality (66%). 74% of T speak mainly Turkish at home; however, 73% speak German at work. 74.4% of T self-rated their German linguistic proficiency as “average” or better while 25.6% reported it as “very bad” or “bad”. 10.7% of T need translation in order to pursue everyday activities. T were significantly less satisfied with the physician’s information on disease and estimated to understand significantly less of what the physician told them: 46.3% of T estimated their reception of the physician’s information to be “average” or worse. 43.3% of T had the impression that it would have helped them “much” or “very much” to be aided by an interpreter at the hospital. The information transmitted while giving informed consent to invasive medical procedure was judged to be “mostly” or “completely” sufficient by the majority of T (76%) and G (89.8%). In this setting 37 of 96 T (38.5%) reported being helped by an interpreter – in most cases (64.9%) a family member. Conclusion Although the majority of patients with Turkish migration background have spent most of their lives in Germany (28.94 ± 10.41y) a large part of this population has limited German language skills and difficulties obtaining medical information when hospitalised. PMID:23710582

The Chandra Source Catalog: X-ray Aperture Photometry

NASA Astrophysics Data System (ADS)

Kashyap, Vinay; Primini, F. A.; Glotfelty, K. J.; Anderson, C. S.; Bonaventura, N. R.; Chen, J. C.; Davis, J. E.; Doe, S. M.; Evans, I. N.; Evans, J. D.; Fabbiano, G.; Galle, E. C.; Gibbs, D. G., II; Grier, J. D.; Hain, R.; Hall, D. M.; Harbo, P. N.; He, X.; Houck, J. C.; Karovska, M.; Lauer, J.; McCollough, M. L.; McDowell, J. C.; Miller, J. B.; Mitschang, A. W.; Morgan, D. L.; Nichols, J. S.; Nowak, M. A.; Plummer, D. A.; Refsdal, B. L.; Rots, A. H.; Siemiginowska, A. L.; Sundheim, B. A.; Tibbetts, M. S.; van Stone, D. W.; Winkelman, S. L.; Zografou, P.

2009-09-01

The Chandra Source Catalog (CSC) represents a reanalysis of the entire ACIS and HRC imaging observations over the 9-year Chandra mission. We describe here the method by which fluxes are measured for detected sources. Source detection is carried out on a uniform basis, using the CIAO tool wavdetect. Source fluxes are estimated post-facto using a Bayesian method that accounts for background, spatial resolution effects, and contamination from nearby sources. We use gamma-function prior distributions, which could be either non-informative, or in case there exist previous observations of the same source, strongly informative. The current implementation is however limited to non-informative priors. The resulting posterior probability density functions allow us to report the flux and a robust credible range on it.

Background for protective action recommendations: accidental radioactive contamination of food and animal feeds. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shleien, B.; Schmidt, G.D.; Chiacchierini, R.P.

This report provides background material for the development of FDA's Protective Action Recommendations: Accidental Radioactive Contamination of Food and Animal Feeds. The rationale, dosimetric and agricultural transport models for the Protective Action Guides are presented, along with information on dietary intake. In addition, the document contains a discussion of field methods of analysis of radionuclides deposited on the ground or contained in milk and herbage. Various protective actions are described and evaluated, and a cost-effectiveness analysis for the recommendations performed.

Plasmonic photoluminescence for recovering native chemical information from surface-enhanced Raman scattering

PubMed Central

Lin, Kai-Qiang; Yi, Jun; Zhong, Jin-Hui; Hu, Shu; Liu, Bi-Ju; Liu, Jun-Yang; Zong, Cheng; Lei, Zhi-Chao; Wang, Xiang; Aizpurua, Javier; Esteban, Rubén; Ren, Bin

2017-01-01

Surface-enhanced Raman scattering (SERS) spectroscopy has attracted tremendous interests as a highly sensitive label-free tool. The local field produced by the excitation of localized surface plasmon resonances (LSPRs) dominates the overall enhancement of SERS. Such an electromagnetic enhancement is unfortunately accompanied by a strong modification in the relative intensity of the original Raman spectra, which highly distorts spectral features providing chemical information. Here we propose a robust method to retrieve the fingerprint of intrinsic chemical information from the SERS spectra. The method is established based on the finding that the SERS background originates from the LSPR-modulated photoluminescence, which contains the local field information shared also by SERS. We validate this concept of retrieval of intrinsic fingerprint information in well controlled single metallic nanoantennas of varying aspect ratios. We further demonstrate its unambiguity and generality in more complicated systems of tip-enhanced Raman spectroscopy (TERS) and SERS of silver nanoaggregates. PMID:28348368

Coal and Energy.

ERIC Educational Resources Information Center

Bryant, Reba; And Others

This teaching unit explores coal as an energy resource. Goals, student objectives, background information, and activity options are presented for each major section. The sections are: (1) an introduction to coal (which describes how and where coal was formed and explains the types of coal); (2) the mining of coal (including the methods and ways of…

REBOUND: A Media-Based Life Skills and Risk Education Programme

ERIC Educational Resources Information Center

Kröninger-Jungaberle, Henrik; Nagy, Ede; von Heyden, Maximilian; DuBois, Fletcher

2015-01-01

Background: REBOUND is a novel media-based life skills and risk education programme developed for 14- to 25-year olds in school, university or youth group settings. This paper outlines the programme's rationale, curriculum and implementation. It provides information of relevance to researchers, programme developers and policymakers. Methods/design…

Providing Counseling for Individuals with Alzheimer's Disease and Their Caregivers

ERIC Educational Resources Information Center

Granello, Paul F.; Fleming, Matthew S.

2008-01-01

Alzheimer's disease is a progressive condition that results in brain wasting and eventual death. With its increasing diagnosis rate, counselors will likely acquire clients with Alzheimer's disease or their caregivers. Important background information and several practical counseling methods are provided that may assist counselors working with this…

Science Teachers in Deaf Education: A National Survey of K-8 Teachers

ERIC Educational Resources Information Center

Shaw, Cynthia

2009-01-01

A survey was conducted with 67 science teachers who taught deaf children at the elementary school level. Teacher background variables, information about teacher preparation and certification, preferred teaching methods, communication methodologies, curriculum, and the use of technology were gathered. A purposeful, convenience sampling technique…

Evaluation of the Special Tertiary Admissions Test (STAT)

ERIC Educational Resources Information Center

Coates, Hamish; Friedman, Tim

2010-01-01

This paper reports findings from the first national Australian study of the predictive validity of the Special Tertiary Admissions Test (STAT). Background on tertiary admissions procedures in Australia is presented, followed by information on STAT and the research methods. The results affirm that STAT, through the provision of baseline and…

Hopelessness and Suicidal Ideation among Adolescents in Two Cultures

ERIC Educational Resources Information Center

Stewart, Sunita Mahtani; Kennard, Betsy D.; Lee, Peter W. H.; Mayes, Taryn; Hughes, Carroll; Emslie, Graham

2005-01-01

Background: This study examines the cross-sectional and longitudinal associations among cognitive variables, depressive symptoms and suicidal ideation in Hong Kong Chinese and Caucasian American adolescents. Methods: Community adolescents (n = 2,044) ages 14-18 years from Hong Kong and the United States provided information regarding their…

Using JournalMap to improve ecological knowledge discovery and visualization

USDA-ARS?s Scientific Manuscript database

Background/Question/Methods Most of the ecological research conducted around the world is tied to specific places, however, that location information is locked up in the text and figures of scientific articles in myriad forms that are not easily searchable. While access to ecological literature ha...

Conduct Problems, IQ, and Household Chaos: A Longitudinal Multi-Informant Study

ERIC Educational Resources Information Center

Deater-Deckard, Kirby; Mullineaux, Paula Y.; Beekman, Charles; Petrill, Stephen A.; Schatschneider, Chris; Thompson, Lee A.

2009-01-01

Background: We tested the hypothesis that household chaos would be associated with lower child IQ and more child conduct problems concurrently and longitudinally over two years while controlling for housing conditions, parent education/IQ, literacy environment, parental warmth/negativity, and stressful events. Methods: The sample included 302…

Internet Use for Prediagnosis Symptom Appraisal by Colorectal Cancer Patients

ERIC Educational Resources Information Center

Thomson, Maria D.; Siminoff, Laura A.; Longo, Daniel R.

2012-01-01

Background: This study explored the characteristics of colorectal cancer (CRC) patients who accessed Internet-based health information as part of their symptom appraisal process prior to consulting a health care provider. Method: Newly diagnosed CRC patients who experienced symptoms prior to diagnosis were interviewed. Brief COPE was used to…

Understanding Information about Mortality among People with Intellectual and Developmental Disabilities in Canada

ERIC Educational Resources Information Center

Ouellette-Kuntz, Hélène; Shooshtari, Shahin; Balogh, Robert; Martens, Patricia

2015-01-01

Background: This paper reviews what is currently known about mortality among Canadians with intellectual and developmental disabilities and describes opportunities for ongoing monitoring. Methods: In-hospital mortality among adults with intellectual and developmental disabilities in Ontario was examined using hospital data. Mortality was compared…

Teaching Ecological Concepts with Mud Dauber Nests.

ERIC Educational Resources Information Center

Matthews, Robert W.; Matthews, Janice R.

1999-01-01

Contends that mud dauber nests--which are widely available, safe, inexpensive, and easy to use--offer a novel and highly motivating way to teach ecological concepts to life science students at many grade levels. Presents background information for teachers, details classroom-tested methods for nest dissection, provides keys to nest contents, and…

Identification of coniferous fine roots to species using ribosomal PCR products of pooled root samples

EPA Science Inventory

Background/Question/Methods To inform an individual-based forest stand model emphasizing belowground competition, we explored the potential of using the relative abundances of ribosomal PCR products from pooled and milled roots, to allocate total root biomass to each of the thre...

An Isotopic Dilution Experiment Using Liquid Scintillation: A Simple Two-System, Two-Phase Analysis.

ERIC Educational Resources Information Center

Moehs, Peter J.; Levine, Samuel

1982-01-01

A simple isotonic, dilution analysis whose principles apply to methods of more complex radioanalyses is described. Suitable for clinical and instrumental analysis chemistry students, experimental manipulations are kept to a minimum involving only aqueous extraction before counting. Background information, procedures, and results are discussed.…

Graph-based analysis of connectivity in spatially-explicit population models: HexSim and the Connectivity Analysis Toolkit

EPA Science Inventory

Background / Question / Methods Planning for the recovery of threatened species is increasingly informed by spatially-explicit population models. However, using simulation model results to guide land management decisions can be difficult due to the volume and complexity of model...

The Logan School Motor Development Program for the Deaf-Blind and Sensory Impaired.

ERIC Educational Resources Information Center

Logan, Thomas E.

Presented are numerous motor development activities for sensory impaired, severely and profoundly mentally retarded, and multiply handicapped mentally retarded students of all ages. Background information is provided on program objectives and administration, the multiply handicapped child, motor development, and methods of movement training.…

76 FR 58157 - Shiga Toxin-Producing Escherichia coli

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-20

.... Comments may be submitted by either of the following methods: Federal eRulemaking Portal: This Web site provides the ability to type short comments directly into the comment field on this Web page or attach a.... Department of Agriculture, (202) 205-0495. SUPPLEMENTARY INFORMATION: Table of Contents Background I. Shiga...

Collaborative School-Based Obesity Interventions: Lessons Learned from 6 Southern Districts

ERIC Educational Resources Information Center

Jain, Anjali; Langwith, Casey

2013-01-01

Background: Although studies have shown that school-based obesity interventions can be effective, little is known about how to translate and implement programs into real-world school settings. Methods: Semistructured interviews were conducted in spring 2012 with 19 key informants who participated in a multifaceted childhood obesity intervention…

Robotic Arms. A Contribution to the Curriculum. An Occasional Paper.

ERIC Educational Resources Information Center

Arnold, W. F.; Carpenter, C. J.

This report examines ways of providing technician training in the operating principles of robotic devices. The terms "robotics" and "robotic arms" are first defined. Some background information on the principal features of robotic arms is given, including their geometric arrangement, type of actuator used, control method, and…

77 FR 2064 - Availability of the Report on the International Workshop on Alternative Methods To Reduce, Refine...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-13

... (email) [email protected] . SUPPLEMENTARY INFORMATION: Background Regulatory authorities require post... testing. Until non-animal tests are available, development of serological assays should also be considered... evaluations and related activities, and conducts independent validation studies to assess the usefulness and...

A graphical method to evaluate spectral preprocessing in multivariate regression calibrations: example with Savitzky-Golay filters and partial least squares regression

USDA-ARS?s Scientific Manuscript database

In multivariate regression analysis of spectroscopy data, spectral preprocessing is often performed to reduce unwanted background information (offsets, sloped baselines) or accentuate absorption features in intrinsically overlapping bands. These procedures, also known as pretreatments, are commonly ...

Discovering Morocco: Using the Five Fundamental Themes of Geography in Order to Discover Morocco

ERIC Educational Resources Information Center

Fitzhugh, William P.

2005-01-01

This curriculum unit, intended to be used with elementary school students, provides information about a North African, Moslem, Arab, country: Morocco. The unit presents objectives, strategies, materials needed, background notes, evaluation methods, and assignments that fulfill National Social Studies Standards and National Geography standards. It…

Instruments Assessing Anxiety in Adults with Intellectual Disabilities: A Systematic Review

ERIC Educational Resources Information Center

Hermans, Heidi; van der Pas, Femke H.; Evenhuis, Heleen M.

2011-01-01

Background: In the last decades several instruments measuring anxiety in adults with intellectual disabilities have been developed. Aim: To give an overview of the characteristics and psychometric properties of self-report and informant-report instruments measuring anxiety in this group. Method: Systematic review of the literature. Results:…

An Experiment on Isomerism in Metal-Amino Acid Complexes.

ERIC Educational Resources Information Center

Harrison, R. Graeme; Nolan, Kevin B.

1982-01-01

Background information, laboratory procedures, and discussion of results are provided for syntheses of cobalt (III) complexes, I-III, illustrating three possible bonding modes of glycine to a metal ion (the complex cations II and III being linkage/geometric isomers). Includes spectrophotometric and potentiometric methods to distinguish among the…

Factors Contributing to Stress in Parents of Individuals with Autistic Spectrum Disorders

ERIC Educational Resources Information Center

Tehee, Erin; Honan, Rita; Hevey, David

2009-01-01

Background: The study explores the experiences of parents of individuals with autistic spectrum disorders (ASDs), and examines the influences of parent gender and child age on perceived stress, stress and coping, child-rearing involvement, support and information/education accessed. Methods and Materials: Questionnaires assessed general perceived…

Planning Adolescent Mental Health Promotion Programming in Saskatoon

ERIC Educational Resources Information Center

Cushon, Jennifer; Waldner, Cheryl; Scott, Christina; Neudorf, Cordell

2016-01-01

Background: We assessed associations between key demographic risk factors and the outcome of depressed mood in Saskatoon, Saskatchewan, to inform the planning and implementation of mental health promotion programming in schools. Methods: In the 2008/2009 school year, 3,958 students from grades 5 through 8 from 76 elementary schools completed…

Recruitment to Intellectual Disability Research: A Qualitative Study

ERIC Educational Resources Information Center

Nicholson, L.; Colyer, M.; Cooper, S. -A.

2013-01-01

Background: Difficulties in the recruitment of adults with intellectual disability (ID) to research studies are well described but little studied. The aim of this study was to investigate the difficulties in recruiting to a specific research project, in order to inform future recruitment to ID research. Methods: Individual semi-structured…

Pragmatics in Pre-Schoolers with Language Impairments

ERIC Educational Resources Information Center

Geurts, Hilde; Embrechts, Mariette

2010-01-01

Background: Pragmatic assessment methods are very diverse and differ in informant type. Some rely on parents, others on teachers/professionals and some directly test pragmatic abilities in the children themselves. A widely used pragmatic parent questionnaire is the Children's Communication Checklist-2 (CCC-2). However, it is not known how scores…

Health information multitype library reference referral networking: panacea for the '90s.

PubMed

Teplitskaia, H

1998-07-01

Librarians are exploring new approaches to information sharing to cope with a rapidly changing environment dominated by budget cuts, information explosion, and globalization of the economy, science, and culture. In 1990, the University of Illinois at Chicago Library of the Health Sciences (UIC LHS) initiated a pilot project aimed at establishing an effective balance between state-of-the-art information technology and traditional library methods and promoting cooperation among health information professionals by establishing the Health Information Referral Network (HIRN) in the state of Illinois. HIRN's background and development, Internet home page, and networking techniques reviewed in this paper are applicable to multitype libraries and information centers interested in improving information use and the referral process.

Health information multitype library reference referral networking: panacea for the '90s.

PubMed Central

Teplitskaia, H

1998-01-01

Librarians are exploring new approaches to information sharing to cope with a rapidly changing environment dominated by budget cuts, information explosion, and globalization of the economy, science, and culture. In 1990, the University of Illinois at Chicago Library of the Health Sciences (UIC LHS) initiated a pilot project aimed at establishing an effective balance between state-of-the-art information technology and traditional library methods and promoting cooperation among health information professionals by establishing the Health Information Referral Network (HIRN) in the state of Illinois. HIRN's background and development, Internet home page, and networking techniques reviewed in this paper are applicable to multitype libraries and information centers interested in improving information use and the referral process. PMID:9681171

Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 2: Sensitivity tests and results

PubMed Central

Norris, Peter M.; da Silva, Arlindo M.

2018-01-01

Part 1 of this series presented a Monte Carlo Bayesian method for constraining a complex statistical model of global circulation model (GCM) sub-gridcolumn moisture variability using high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) cloud data, thereby permitting parameter estimation and cloud data assimilation for large-scale models. This article performs some basic testing of this new approach, verifying that it does indeed reduce mean and standard deviation biases significantly with respect to the assimilated MODIS cloud optical depth, brightness temperature and cloud-top pressure and that it also improves the simulated rotational–Raman scattering cloud optical centroid pressure (OCP) against independent (non-assimilated) retrievals from the Ozone Monitoring Instrument (OMI). Of particular interest, the Monte Carlo method does show skill in the especially difficult case where the background state is clear but cloudy observations exist. In traditional linearized data assimilation methods, a subsaturated background cannot produce clouds via any infinitesimal equilibrium perturbation, but the Monte Carlo approach allows non-gradient-based jumps into regions of non-zero cloud probability. In the example provided, the method is able to restore marine stratocumulus near the Californian coast, where the background state has a clear swath. This article also examines a number of algorithmic and physical sensitivities of the new method and provides guidance for its cost-effective implementation. One obvious difficulty for the method, and other cloud data assimilation methods as well, is the lack of information content in passive-radiometer-retrieved cloud observables on cloud vertical structure, beyond cloud-top pressure and optical thickness, thus necessitating strong dependence on the background vertical moisture structure. It is found that a simple flow-dependent correlation modification from Riishojgaard provides some help in this respect, by better honouring inversion structures in the background state. PMID:29618848

Monte Carlo Bayesian Inference on a Statistical Model of Sub-Gridcolumn Moisture Variability Using High-Resolution Cloud Observations. Part 2: Sensitivity Tests and Results

NASA Technical Reports Server (NTRS)

Norris, Peter M.; da Silva, Arlindo M.

2016-01-01

Part 1 of this series presented a Monte Carlo Bayesian method for constraining a complex statistical model of global circulation model (GCM) sub-gridcolumn moisture variability using high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) cloud data, thereby permitting parameter estimation and cloud data assimilation for large-scale models. This article performs some basic testing of this new approach, verifying that it does indeed reduce mean and standard deviation biases significantly with respect to the assimilated MODIS cloud optical depth, brightness temperature and cloud-top pressure and that it also improves the simulated rotational-Raman scattering cloud optical centroid pressure (OCP) against independent (non-assimilated) retrievals from the Ozone Monitoring Instrument (OMI). Of particular interest, the Monte Carlo method does show skill in the especially difficult case where the background state is clear but cloudy observations exist. In traditional linearized data assimilation methods, a subsaturated background cannot produce clouds via any infinitesimal equilibrium perturbation, but the Monte Carlo approach allows non-gradient-based jumps into regions of non-zero cloud probability. In the example provided, the method is able to restore marine stratocumulus near the Californian coast, where the background state has a clear swath. This article also examines a number of algorithmic and physical sensitivities of the new method and provides guidance for its cost-effective implementation. One obvious difficulty for the method, and other cloud data assimilation methods as well, is the lack of information content in passive-radiometer-retrieved cloud observables on cloud vertical structure, beyond cloud-top pressure and optical thickness, thus necessitating strong dependence on the background vertical moisture structure. It is found that a simple flow-dependent correlation modification from Riishojgaard provides some help in this respect, by better honouring inversion structures in the background state.

Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 2: Sensitivity tests and results.

PubMed

Norris, Peter M; da Silva, Arlindo M

2016-07-01

Part 1 of this series presented a Monte Carlo Bayesian method for constraining a complex statistical model of global circulation model (GCM) sub-gridcolumn moisture variability using high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) cloud data, thereby permitting parameter estimation and cloud data assimilation for large-scale models. This article performs some basic testing of this new approach, verifying that it does indeed reduce mean and standard deviation biases significantly with respect to the assimilated MODIS cloud optical depth, brightness temperature and cloud-top pressure and that it also improves the simulated rotational-Raman scattering cloud optical centroid pressure (OCP) against independent (non-assimilated) retrievals from the Ozone Monitoring Instrument (OMI). Of particular interest, the Monte Carlo method does show skill in the especially difficult case where the background state is clear but cloudy observations exist. In traditional linearized data assimilation methods, a subsaturated background cannot produce clouds via any infinitesimal equilibrium perturbation, but the Monte Carlo approach allows non-gradient-based jumps into regions of non-zero cloud probability. In the example provided, the method is able to restore marine stratocumulus near the Californian coast, where the background state has a clear swath. This article also examines a number of algorithmic and physical sensitivities of the new method and provides guidance for its cost-effective implementation. One obvious difficulty for the method, and other cloud data assimilation methods as well, is the lack of information content in passive-radiometer-retrieved cloud observables on cloud vertical structure, beyond cloud-top pressure and optical thickness, thus necessitating strong dependence on the background vertical moisture structure. It is found that a simple flow-dependent correlation modification from Riishojgaard provides some help in this respect, by better honouring inversion structures in the background state.

Using ethnography to investigate life scientists' information needs.

PubMed Central

Forsythe, D E

1998-01-01

Designing information resources that actually meet the information needs of individuals requires detailed knowledge of these needs. This poses a challenge for developers. Because the meaning of particular terms can vary by field, professional knowledge differs to some extent in different disciplines, and the questions that people ask assume a certain amount of unarticulated background knowledge, understanding the information needs of life scientists is not a trivial undertaking. One source of help in meeting this challenge is ethnography, a set of research methods and an associated conceptual stance developed and used by anthropologists for investigating uncontrolled real-world settings. Drawing on the author's experience in using ethnographic techniques to study clinicians' information needs, this paper describes why such research is necessary, why it requires particular research methods, what an ethnographic perspective has added to the study of information needs, and what this broader approach has revealed about the types of information sought by clinicians in the course of their daily practice. PMID:9681177

Multi person detection and tracking based on hierarchical level-set method

NASA Astrophysics Data System (ADS)

Khraief, Chadia; Benzarti, Faouzi; Amiri, Hamid

2018-04-01

In this paper, we propose an efficient unsupervised method for mutli-person tracking based on hierarchical level-set approach. The proposed method uses both edge and region information in order to effectively detect objects. The persons are tracked on each frame of the sequence by minimizing an energy functional that combines color, texture and shape information. These features are enrolled in covariance matrix as region descriptor. The present method is fully automated without the need to manually specify the initial contour of Level-set. It is based on combined person detection and background subtraction methods. The edge-based is employed to maintain a stable evolution, guide the segmentation towards apparent boundaries and inhibit regions fusion. The computational cost of level-set is reduced by using narrow band technique. Many experimental results are performed on challenging video sequences and show the effectiveness of the proposed method.

Neutral details associated with emotional events are encoded: evidence from a cued recall paradigm.

PubMed

Mickley Steinmetz, Katherine R; Knight, Aubrey G; Kensinger, Elizabeth A

2016-11-01

Enhanced emotional memory often comes at the cost of memory for surrounding background information. Narrowed-encoding theories suggest that this is due to narrowed attention for emotional information at encoding, leading to impaired encoding of background information. Recent work has suggested that an encoding-based theory may be insufficient. Here, we examined whether cued recall-instead of previously used recognition memory tasks-would reveal evidence that non-emotional information associated with emotional information was effectively encoded. Participants encoded positive, negative, or neutral objects on neutral backgrounds. At retrieval, they were given either the item or the background as a memory cue and were asked to recall the associated scene element. Counter to narrowed-encoding theories, emotional items were more likely than neutral items to trigger recall of the associated background. This finding suggests that there is a memory trace of this contextual information and that emotional cues may facilitate retrieval of this information.

Data Content and Exchange in General Practice: a Review

PubMed Central

Kalankesh, Leila R; Farahbakhsh, Mostafa; Rahimi, Niloofar

2014-01-01

Background: efficient communication of data is inevitable requirement for general practice. Any issue in data content and its exchange among GP and other related entities hinders continuity of patient care. Methods: literature search for this review was conducted on three electronic databases including Medline, Scopus and Science Direct. Results: through reviewing papers, we extracted information on the GP data content, use cases of GP information exchange, its participants, tools and methods, incentives and barriers. Conclusion: considering importance of data content and exchange for GP systems, it seems that more research is needed to be conducted toward providing a comprehensive framework for data content and exchange in GP systems. PMID:25648317

[The Impact of Immigrant Status on the Mode of Hospital Referral, Impression of Disease Severity and Length of Stay in Inpatient General Pediatric Care].

PubMed

Ullrich, Sebastian; Nesterko, Yuriy; Briel, Diana; Hiemisch, Andreas; Brähler, Elmar; Glaesmer, Heide

2017-08-10

Background National as well as international research often shows differences in health and health behavior between children and youth with and without migration background. It is also noted that there are differences in the use of health services depending on the migration background. Patients and Methods Data from 266 pediatric patients, regarding their hospitalization, general impression of health status and length of stay in a hospital, were analyzed depending on the migration background. Information on migration background and treatment-related data were obtained from the parents of the patient or from the hospital information system (SAP). 20.7% of patients (n=55) had a migration background. Results Migrants were hospitalized more often under a participation of the emergency room than non-migrants; also migrants showed a more severe illness picture. Regarding the number of diagnoses and length of stay as well as the distribution of the main diagnoses, no differences were found. Discussion Language barriers, culture-specific ideas about illness and insufficient knowledge of the German health care system were discussed as possible reasons to for the differences between migrants and non-migrants. Conclusion This study confirms already known differences in the use of health services by people with and without migration background. The results indicate worse health status in migrant patients compared to non-migrants by hospitalization. Future research with greater numbers of participants should specifically investigate on this point. © Georg Thieme Verlag KG Stuttgart · New York.

Study on the application of MRF and the D-S theory to image segmentation of the human brain and quantitative analysis of the brain tissue

NASA Astrophysics Data System (ADS)

Guan, Yihong; Luo, Yatao; Yang, Tao; Qiu, Lei; Li, Junchang

2012-01-01

The features of the spatial information of Markov random field image was used in image segmentation. It can effectively remove the noise, and get a more accurate segmentation results. Based on the fuzziness and clustering of pixel grayscale information, we find clustering center of the medical image different organizations and background through Fuzzy cmeans clustering method. Then we find each threshold point of multi-threshold segmentation through two dimensional histogram method, and segment it. The features of fusing multivariate information based on the Dempster-Shafer evidence theory, getting image fusion and segmentation. This paper will adopt the above three theories to propose a new human brain image segmentation method. Experimental result shows that the segmentation result is more in line with human vision, and is of vital significance to accurate analysis and application of tissues.

Automatic identification and normalization of dosage forms in drug monographs

PubMed Central

2012-01-01

Background Each day, millions of health consumers seek drug-related information on the Web. Despite some efforts in linking related resources, drug information is largely scattered in a wide variety of websites of different quality and credibility. Methods As a step toward providing users with integrated access to multiple trustworthy drug resources, we aim to develop a method capable of identifying drug's dosage form information in addition to drug name recognition. We developed rules and patterns for identifying dosage forms from different sections of full-text drug monographs, and subsequently normalized them to standardized RxNorm dosage forms. Results Our method represents a significant improvement compared with a baseline lookup approach, achieving overall macro-averaged Precision of 80%, Recall of 98%, and F-Measure of 85%. Conclusions We successfully developed an automatic approach for drug dosage form identification, which is critical for building links between different drug-related resources. PMID:22336431

Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences

NASA Astrophysics Data System (ADS)

Marrinan, Timothy; Beveridge, J. Ross; Draper, Bruce; Kirby, Michael; Peterson, Chris

2016-05-01

We present a flag manifold based method for detecting chemical plumes in long-wave infrared hyperspectral movies. The method encodes temporal and spatial information related to a hyperspectral pixel into a flag, or nested sequence of linear subspaces. The technique used to create the flags pushes information about the background clutter, ambient conditions, and potential chemical agents into the leading elements of the flags. Exploiting this temporal information allows for a detection algorithm that is sensitive to the presence of weak signals. This method is compared to existing techniques qualitatively on real data and quantitatively on synthetic data to show that the flag-based algorithm consistently performs better on data when the SINRdB is low, and beats the ACE and MF algorithms in probability of detection for low probabilities of false alarm even when the SINRdB is high.

Clinical Case Studies in Psychoanalytic and Psychodynamic Treatment

PubMed Central

Willemsen, Jochem; Della Rosa, Elena; Kegerreis, Sue

2017-01-01

This manuscript provides a review of the clinical case study within the field of psychoanalytic and psychodynamic treatment. The method has been contested for methodological reasons and because it would contribute to theoretical pluralism in the field. We summarize how the case study method is being applied in different schools of psychoanalysis, and we clarify the unique strengths of this method and areas for improvement. Finally, based on the literature and on our own experience with case study research, we come to formulate nine guidelines for future case study authors: (1) basic information to include, (2) clarification of the motivation to select a particular patient, (3) information about informed consent and disguise, (4) patient background and context of referral or self-referral, (5) patient's narrative, therapist's observations and interpretations, (6) interpretative heuristics, (7) reflexivity and counter-transference, (8) leaving room for interpretation, and (9) answering the research question, and comparison with other cases. PMID:28210235

Conflicting Online Health Information and Rational Decision Making: Implication for Cancer Survivors.

PubMed

Yoon, Heesoo; Sohn, Minsung; Choi, Mankyu; Jung, Minsoo

Although people in the social media age can access health information easier, they have difficulty judging conflicting rational information or summarizing the large amounts of health information available. Conflicting health information occurs when contrary assertions or information about a certain health issue comes from different information sources. This study examined the background knowledge and the current phenomenon of why conflicting health information occurs in real-world conditions. We also reviewed causes and solutions by reviewing the literature. In particular, we recommend a method that solves problems that patients have including cancer survivors who cannot themselves be active in seeking health information. Thus, we categorized the specific types of conflicting health information and analyzed the sociodemographic factors and information carrier factors that have an impact on the health information-seeking behavior of individuals.

Using expert knowledge for test linking.

PubMed

Bolsinova, Maria; Hoijtink, Herbert; Vermeulen, Jorine Adinda; Béguin, Anton

2017-12-01

Linking and equating procedures are used to make the results of different test forms comparable. In the cases where no assumption of random equivalent groups can be made some form of linking design is used. In practice the amount of data available to link the two tests is often very limited due to logistic and security reasons, which affects the precision of linking procedures. This study proposes to enhance the quality of linking procedures based on sparse data by using Bayesian methods which combine the information in the linking data with background information captured in informative prior distributions. We propose two methods for the elicitation of prior knowledge about the difference in difficulty of two tests from subject-matter experts and explain how these results can be used in the specification of priors. To illustrate the proposed methods and evaluate the quality of linking with and without informative priors, an empirical example of linking primary school mathematics tests is presented. The results suggest that informative priors can increase the precision of linking without decreasing the accuracy. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Scene text detection by leveraging multi-channel information and local context

NASA Astrophysics Data System (ADS)

Wang, Runmin; Qian, Shengyou; Yang, Jianfeng; Gao, Changxin

2018-03-01

As an important information carrier, texts play significant roles in many applications. However, text detection in unconstrained scenes is a challenging problem due to cluttered backgrounds, various appearances, uneven illumination, etc.. In this paper, an approach based on multi-channel information and local context is proposed to detect texts in natural scenes. According to character candidate detection plays a vital role in text detection system, Maximally Stable Extremal Regions(MSERs) and Graph-cut based method are integrated to obtain the character candidates by leveraging the multi-channel image information. A cascaded false positive elimination mechanism are constructed from the perspective of the character and the text line respectively. Since the local context information is very valuable for us, these information is utilized to retrieve the missing characters for boosting the text detection performance. Experimental results on two benchmark datasets, i.e., the ICDAR 2011 dataset and the ICDAR 2013 dataset, demonstrate that the proposed method have achieved the state-of-the-art performance.

A hyperspectral imagery anomaly detection algorithm based on local three-dimensional orthogonal subspace projection

NASA Astrophysics Data System (ADS)

Zhang, Xing; Wen, Gongjian

2015-10-01

Anomaly detection (AD) becomes increasingly important in hyperspectral imagery analysis with many practical applications. Local orthogonal subspace projection (LOSP) detector is a popular anomaly detector which exploits local endmembers/eigenvectors around the pixel under test (PUT) to construct background subspace. However, this subspace only takes advantage of the spectral information, but the spatial correlat ion of the background clutter is neglected, which leads to the anomaly detection result sensitive to the accuracy of the estimated subspace. In this paper, a local three dimensional orthogonal subspace projection (3D-LOSP) algorithm is proposed. Firstly, under the jointly use of both spectral and spatial information, three directional background subspaces are created along the image height direction, the image width direction and the spectral direction, respectively. Then, the three corresponding orthogonal subspaces are calculated. After that, each vector along three direction of the local cube is projected onto the corresponding orthogonal subspace. Finally, a composite score is given through the three direction operators. In 3D-LOSP, the anomalies are redefined as the target not only spectrally different to the background, but also spatially distinct. Thanks to the addition of the spatial information, the robustness of the anomaly detection result has been improved greatly by the proposed 3D-LOSP algorithm. It is noteworthy that the proposed algorithm is an expansion of LOSP and this ideology can inspire many other spectral-based anomaly detection methods. Experiments with real hyperspectral images have proved the stability of the detection result.

Factors associated with utilization of traditional Chinese medicine by white collar foreign workers living in Taiwan

PubMed Central

Daly, Maria; Tai, Chen-Jei; Deng, Chung-Yeh; Chien, Li-Yin

2009-01-01

Background Traditional Chinese medicine (TCM) has remained an integral part of Chinese culture and society for thousands of years. In Taiwan TCM is a recognized element of its National Health Insurance Scheme. However, there is no knowledge about how TCM is accessed by foreign workers from a non-Asian cultural background. The objectives of this study were to investigate the prevalence and patterns of TCM use among non-Asian white-collar workers living in Taiwan, and examine factors likely to influence their use of TCM. Methods This study applied a cross-sectional survey design. A total of 207 white-collar foreign workers of a non-Asian background currently holding National Health Insurance cards who had lived in Taiwan for 4 months or more participated in this study. Results The prevalence of TCM use was 45%. The most frequently used therapies were traditional Chinese herbs/medicine and acupuncture. Factors indicating the likelihood of TCM usage were age 31–40 years, visit to an allopathic medical doctor in the last year, ability to read Chinese, having a friend or family member available to assist in the use of TCM, and access to information about TCM services available in Taiwan. Conclusion Utilization of TCM by people of a non-Asian background living in Taiwan appears to be most influenced by enabling factors including language ability, access to information, and informal reference persons. PMID:19144152

The Varied Circumstances Prompting Requests for Emergency Contraception at School-Based Clinics

ERIC Educational Resources Information Center

Sidebottom, Abbey; Harrison, Patricia A.; Amidon, Donna; Finnegan, Katie

2008-01-01

Background: Little is known about the circumstances that prompt teenagers to request emergency contraception (EC). This evaluation was designed to refine the EC clinical protocol and improve pregnancy prevention efforts in high school-based clinics by analyzing information on EC use and subsequent contraception use of EC patients. Methods: Sites…

Therapists' Perspectives: Supporting Children to Use Switches and Technology for Accessing Their Environment, Leisure, and Communication

ERIC Educational Resources Information Center

Beauchamp, Fiona; Bourke-Taylor, Helen; Brown, Ted

2018-01-01

Background: Many children with cerebral palsy learn to use technology to access their environments and communicate; however, minimal research informs practice. Methods: A descriptive qualitative study with purposive sampling recruited 10 therapists (occupational, speech, and physiotherapists) from one early intervention service. Data were…

Which Children Receive Grandparental Care and What Effect Does It Have?

ERIC Educational Resources Information Center

Fergusson, Emma; Maughan, Barbara; Golding, Jean

2008-01-01

Background: Grandparents are increasingly involved in the care of young children, but little is known about factors associated with this type of care, or its implications for children's behavioural development. Methods: We used information collected from 8752 families in the Avon Longitudinal Study of Parents and Children (ALSPAC) on grandparent…

A Qualitative Study of Juvenile Offenders, Student Engagement, and Interpersonal Relationships: Implications for Research Directions and Preventionist Approaches

ERIC Educational Resources Information Center

Sander, Janay B.; Sharkey, Jill D.; Olivarri, Roger; Tanigawa, Diane A.; Mauseth, Tory

2010-01-01

Background factors that correlate with juvenile delinquency are consistent across the interdisciplinary literature base. Yet, information about the process of how risks relate to outcomes, especially within school settings, is limited. Researchers used qualitative methods to examine school and interpersonal experiences from the perspective of…

Looking at Movies and Cartoons: Eye-Tracking Evidence from Williams Syndrome and Autism

ERIC Educational Resources Information Center

Riby, D.; Hancock, P. J. B.

2009-01-01

Background: Autism and Williams syndrome (WS) are neuro-developmental disorders associated with distinct social phenotypes. While individuals with autism show a lack of interest in socially important cues, individuals with WS often show increased interest in socially relevant information. Methods: The current eye-tracking study explores how…

Multiple Health Risk Behaviors in Adolescents: An Examination of Youth Risk Behavior Survey Data

ERIC Educational Resources Information Center

Coleman, Casey; Wileyto, E. Paul; Lenhart, Clare M.; Patterson, Freda

2014-01-01

Background: Chronic disease risk factors tend to cooccur. Purpose: This study examined the cooccurrence of 8 negative health behaviors in a representative sample of urban adolescents to inform educational interventions. Methods: The prevalence, cooccurrence, and clustering of suicide attempt, lifetime history of sexual activity, tobacco use, cell…

Prevalence and Incidence of Myocardial Infarction and Cerebrovascular Accident in Ageing Persons with Intellectual Disability

ERIC Educational Resources Information Center

Jansen, J.; Rozeboom, W.; Penning, C.; Evenhuis, H. M.

2013-01-01

Background: Epidemiological information on age-related cardiovascular disease in people with intellectual disability (ID) is scarce and inconclusive. We compared prevalence and incidence of cerebrovascular accident and myocardial infarction over age 50 in a residential population with ID to that in a general practice population. Method: Lifetime…

A Web-Based Learning Tool Improves Student Performance in Statistics: A Randomized Masked Trial

ERIC Educational Resources Information Center

Gonzalez, Jose A.; Jover, Lluis; Cobo, Erik; Munoz, Pilar

2010-01-01

Background: e-status is a web-based tool able to generate different statistical exercises and to provide immediate feedback to students' answers. Although the use of Information and Communication Technologies (ICTs) is becoming widespread in undergraduate education, there are few experimental studies evaluating its effects on learning. Method: All…

Repeated Interviews with Children Who Have Intellectual Disabilities

ERIC Educational Resources Information Center

Cederborg, A.-C.; La Rooy, D.; Lamb, M. E.

2008-01-01

Background: We predicted that repeated interviewing would improve the informativeness of children with intellectual disabilities who were questioned in criminal investigations. Materials: The chronological ages of the 19 children, involved in 20 cases, ranged between 4.7 and 18 years (M = 10.3 years) at the time of the first alleged abuse. Method:…

A Selected Bibliography on International Education.

ERIC Educational Resources Information Center

Foreign Policy Association, New York, NY.

This unannotated bibliography is divided into four major sections; 1) General Background Readings for Teachers; 2) Approaches and Methods; 3) Materials for the Classroom; and, 4) Sources of Information and Materials. It offers a highly selective list of items which provide wide coverage of the field. Included are items on foreign policy, war and…

A Descriptive Investigation of Dysphagia in Adults with Intellectual Disabilities

ERIC Educational Resources Information Center

Chadwick, Darren D.; Jolliffe, J.

2009-01-01

Background: Dysphagia has rarely been investigated in adults with intellectual disabilities (ID) despite being a serious condition affecting health and quality of life. Method: This study collected information about 101 adults with ID, living in community settings, referred for an assessment of their eating and drinking. Ninety-nine people were…

Mortality of People with Intellectual Disabilities in England: A Comparison of Data from Existing Sources

ERIC Educational Resources Information Center

Heslop, Pauline; Glover, Gyles

2015-01-01

Background: At present, there is limited statistical information about mortality of people with intellectual disabilities in England. This study explores the data that are currently available. Materials and Methods: Four recent sources of data about mortality of people with intellectual disabilities in England are reviewed: the Confidential…

Families Challenged by and Accommodating to the Adolescent Years

ERIC Educational Resources Information Center

Schneider, J.; Wedgewood, N.; Llewellyn, G.; McConnell, D.

2006-01-01

Background: Informed by Ecocultural theory, this study explores the challenges that families caring for an adolescent with disability face and strategies they apply to sustain a meaningful family routine during the adolescent years. Methods: In-depth Ecocultural interviews were conducted with 20 families caring for an adolescent (aged 10-21 years)…

Supporting Parents of Youths with Intellectual Disabilities and Psychopathology

ERIC Educational Resources Information Center

Douma, J. C. H.; Dekker, M. C.; Koot, H. M.

2006-01-01

Background: Parents of children and adolescents with both intellectual disabilities (ID) and psychopathology often experience high levels of parenting stress. To support these parents, information is required regarding the types of support they need and whether their needs are met. Method: In a sample of 745 youths (aged 10-24 years) with moderate…

Health and Social Care Practitioners' Experiences of Assessing Mental Capacity in a Community Learning Disability Team

ERIC Educational Resources Information Center

Ratcliff, Daniel; Chapman, Melanie

2016-01-01

Background: The study explored experiences of health and social care practitioners within a community learning disability team in undertaking mental capacity assessments with people with learning disabilities. Materials and Methods: Eight practitioners were interviewed using a semi-structured interview schedule. Results: The information gained was…

Caregiver Attitudes to Gynaecological Health of Women with Intellectual Disability

ERIC Educational Resources Information Center

Lin, Lan-Ping; Lin, Jin-Ding; Chu, Cordia M.; Chen, Li-Mei

2011-01-01

Background: There is little information available related to the reproductive health of people with intellectual disability (ID). The aims of the present study are to describe caregiver attitudes and to examine determinants of gynaecological health for women with ID. Method: We recruited 1152 caregivers (response rate = 71.87%) and analysed their…

An Experiment with Manifold Purposes: The Chemical Reactivity of Crystal Defects upon Crystal Dissolution.

ERIC Educational Resources Information Center

Lazzarini, Annaluisa Fantola; Lazzarini, Ennio

1983-01-01

Background information and procedures are provided for an experiment designed to introduce (1) crystal defects and their reactivity upon crystal dissolution; (2) hydrates electron and its reactivity; (3) application of radiochemical method of analysis; and (4) the technique of competitive kinetics. Suggested readings and additional experiments are…

An Alternative Way to Model Population Ability Distributions in Large-Scale Educational Surveys

ERIC Educational Resources Information Center

Wetzel, Eunike; Xu, Xueli; von Davier, Matthias

2015-01-01

In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…

Investigating Stakeholder Attitudes and Opinions on School-Based Human Papillomavirus Vaccination Programs

ERIC Educational Resources Information Center

Nodulman, Jessica A.; Starling, Randall; Kong, Alberta S.; Buller, David B.; Wheeler, Cosette M.; Woodall, W. Gill

2015-01-01

Background: In several countries worldwide, school-based human papillomavirus (HPV) vaccination programs have been successful; however, little research has explored US stakeholders' acceptance toward school-based HPV vaccination programs. Methods: A total of 13 focus groups and 12 key informant interviews (N?=?117; 85% females; 66% racial/ethnic…

Untreated ADHD in Adults: Are There Sex Differences in Symptoms, Comorbidity, and Impairment?

ERIC Educational Resources Information Center

Rasmussen, Kirsten; Levander, Sten

2009-01-01

Objective: To analyze sex differences among adult, never-treated patients referred for central stimulant treatment of ADHD. Method: Data for 600 consecutive patients from northern Norway referred for evaluation by an expert team during 7 years were analyzed. General background information, diagnostic and social history, and symptom profiles were…

Recruitment and Consent of Women with Intellectual Disabilities in a Randomised Control Trial of a Health Promotion Intervention

ERIC Educational Resources Information Center

Swaine, J.; Parish, S. L.; Luken, K.; Atkins, L.

2011-01-01

Background: The need for evidence-based health promotion interventions for women with intellectual and developmental disabilities is critical. However, significant barriers impede them from participating in research, including those related to recruitment and obtaining informed consent. Methods: This study describes a procedure for the recruitment…

Opportunities for Increasing Human Papillomavirus Vaccine Provision in School Health Centers

ERIC Educational Resources Information Center

Moss, Jennifer L.; Feld, Ashley L.; O'Malley, Brittany; Entzel, Pamela; Smith, Jennifer S.; Gilkey, Melissa B.; Brewer, Noel T.

2014-01-01

Background: Uptake of human papillomavirus (HPV) vaccine remains low among adolescents in the United States. We sought to assess barriers to HPV vaccine provision in school health centers to inform subsequent interventions. Methods: We conducted structured interviews in the fall of 2010 with staff from all 33 school health centers in North…

Measuring the Impact of Technology on Nurse Workflow: A Mixed Methods Approach

ERIC Educational Resources Information Center

Cady, Rhonda Guse

2012-01-01

Background. Investment in health information technology (HIT) is rapidly accelerating. The absence of contextual or situational analysis of the environment in which HIT is incorporated makes it difficult to measure success or failure. The methodology introduced in this paper combines observational research with time-motion study to measure the…

Ethnic Variation in Service Utilisation among Children with Intellectual Disability

ERIC Educational Resources Information Center

Dura-Vila, G.; Hodes, M.

2009-01-01

Background: This study examined whether service utilisation among children with intellectual disability (ID) varied by ethnic cultural group. Method: Survey carried out in four special schools in London. Information was provided by school teachers using case files, and 242 children aged 7 to 17 years with mild and moderate ID were identified.…

Development in Infants with Autism Spectrum Disorders: A Prospective Study

ERIC Educational Resources Information Center

Landa, Rebecca; Garrett-Mayer, Elizabeth

2006-01-01

Background: Autism is rarely diagnosed before three years of age despite evidence suggesting prenatal abnormalities in neurobiological processes. Little is known about when or how development becomes disrupted in the first two years of life in autism. Such information is needed to facilitate early detection and early intervention. Methods: This…

Assessing the Reading Comprehension of Adults with Learning Disabilities

ERIC Educational Resources Information Center

Jones, F. W.; Long, K.; Finlay, W. M. L.

2006-01-01

Background: This study's aim was to begin the process of measuring the reading comprehension of adults with mild and borderline learning disabilities, in order to generate information to help clinicians and other professionals to make written material for adults with learning disabilities more comprehensible. Methods: The Test for the Reception of…

The Oxidation of Secondary Alcohols with Cr(VI): A Spectrophotometric Method.

ERIC Educational Resources Information Center

Mason, Timothy J.; And Others

1985-01-01

Background information, procedures, and typical results are provided for an experiment in which spectrophotometry is used to examine the oxidation of secondary alcohols using chromium (VI). The overall change in oxidation state of chromium during the reaction is VI to III, corresponding to the familiar color change from orange to green. (JN)

How Much Does Intellectual Disability Really Cost? First Estimates for Australia

ERIC Educational Resources Information Center

Doran, Christopher M.; Einfeld, Stewart L.; Madden, Rosamond H.; Otim, Michael; Horstead, Sian K.; Ellis, Louise A.; Emerson, Eric

2012-01-01

Background: Given the paucity of relevant data, this study estimates the cost of intellectual disability (ID) to families and the government in Australia. Method: Family costs were collected via the Client Service Receipt Inventory, recording information relating to service use and personal expense as a consequence of ID. Government expenditure on…

Robust visual tracking using a contextual boosting approach

NASA Astrophysics Data System (ADS)

Jiang, Wanyue; Wang, Yin; Wang, Daobo

2018-03-01

In recent years, detection-based image trackers have been gaining ground rapidly, thanks to its capacity of incorporating a variety of image features. Nevertheless, its tracking performance might be compromised if background regions are mislabeled as foreground in the training process. To resolve this problem, we propose an online visual tracking algorithm designated to improving the training label accuracy in the learning phase. In the proposed method, superpixels are used as samples, and their ambiguous labels are reassigned in accordance with both prior estimation and contextual information. The location and scale of the target are usually determined by confidence map, which is doomed to shrink since background regions are always incorporated into the bounding box. To address this dilemma, we propose a cross projection scheme via projecting the confidence map for target detecting. Moreover, the performance of the proposed tracker can be further improved by adding rigid-structured information. The proposed method is evaluated on the basis of the OTB benchmark and the VOT2016 benchmark. Compared with other trackers, the results appear to be competitive.

Training needs for toxicity testing in the 21st century: a survey-informed analysis.

PubMed

Lapenna, Silvia; Gabbert, Silke; Worth, Andrew

2012-12-01

Current training needs on the use of alternative methods in predictive toxicology, including new approaches based on mode-of-action (MoA) and adverse outcome pathway (AOP) concepts, are expected to evolve rapidly. In order to gain insight into stakeholder preferences for training, the European Commission's Joint Research Centre (JRC) conducted a single-question survey with twelve experts in regulatory agencies, industry, national research organisations, NGOs and consultancies. Stakeholder responses were evaluated by means of theory-based qualitative data analysis. Overall, a set of training topics were identified that relate both to general background information and to guidance for applying alternative testing methods. In particular, for the use of in silico methods, stakeholders emphasised the need for training on data integration and evaluation, in order to increase confidence in applying these methods for regulatory purposes. Although the survey does not claim to offer an exhaustive overview of the training requirements, its findings support the conclusion that the development of well-targeted and tailor-made training opportunities that inform about the usefulness of alternative methods, in particular those that offer practical experience in the application of in silico methods, deserves more attention. This should be complemented by transparent information and guidance on the interpretation of the results generated by these methods and software tools. 2012 FRAME.

Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data

PubMed Central

Parks, David R.; Khettabi, Faysal El; Chase, Eric; Hoffman, Robert A.; Perfetto, Stephen P.; Spidlen, Josef; Wood, James C.S.; Moore, Wayne A.; Brinkman, Ryan R.

2017-01-01

We developed a fully automated procedure for analyzing data from LED pulses and multi-level bead sets to evaluate backgrounds and photoelectron scales of cytometer fluorescence channels. The method improves on previous formulations by fitting a full quadratic model with appropriate weighting and by providing standard errors and peak residuals as well as the fitted parameters themselves. Here we describe the details of the methods and procedures involved and present a set of illustrations and test cases that demonstrate the consistency and reliability of the results. The automated analysis and fitting procedure is generally quite successful in providing good estimates of the Spe (statistical photoelectron) scales and backgrounds for all of the fluorescence channels on instruments with good linearity. The precision of the results obtained from LED data is almost always better than for multi-level bead data, but the bead procedure is easy to carry out and provides results good enough for most purposes. Including standard errors on the fitted parameters is important for understanding the uncertainty in the values of interest. The weighted residuals give information about how well the data fits the model, and particularly high residuals indicate bad data points. Known photoelectron scales and measurement channel backgrounds make it possible to estimate the precision of measurements at different signal levels and the effects of compensated spectral overlap on measurement quality. Combining this information with measurements of standard samples carrying dyes of biological interest, we can make accurate comparisons of dye sensitivity among different instruments. Our method is freely available through the R/Bioconductor package flowQB. PMID:28160404

Assessment of Registration Information on Methodological Design of Acupuncture RCTs: A Review of 453 Registration Records Retrieved from WHO International Clinical Trials Registry Platform

PubMed Central

Gu, Jing; Wang, Qi; Wang, Xiaogang; Li, Hailong; Gu, Mei; Ming, Haixia; Dong, Xiaoli; Yang, Kehu; Wu, Hongyan

2014-01-01

Background. This review provides the first methodological information assessment of protocol of acupuncture RCTs registered in WHO International Clinical Trials Registry Platform (ICTRP). Methods. All records of acupuncture RCTs registered in the ICTRP have been collected. The methodological design assessment involved whether the randomization methods, allocation concealment, and blinding were adequate or not based on the information of registration records (protocols of acupuncture RCTs). Results. A total of 453 records, found in 11 registries, were examined. Methodological details were insufficient in registration records; there were 76.4%, 89.0%, and 21.4% records that did not provide information on randomization methods, allocation concealment, and blinding respectively. The proportions of adequate randomization methods, allocation concealment, and blinding were only 107 (23.6%), 48 (10.6%), and 210 (46.4%), respectively. The methodological design improved year by year, especially after 2007. Additionally, methodology of RCTs with ethics approval was clearly superior to those without ethics approval and different among registries. Conclusions. The overall methodological design based on registration records of acupuncture RCTs is not very well but improved year by year. The insufficient information on randomization methods, allocation concealment, and blinding maybe due to the relevant description is not taken seriously in acupuncture RCTs' registration. PMID:24688591

Assessment of Registration Information on Methodological Design of Acupuncture RCTs: A Review of 453 Registration Records Retrieved from WHO International Clinical Trials Registry Platform.

PubMed

Gu, Jing; Wang, Qi; Wang, Xiaogang; Li, Hailong; Gu, Mei; Ming, Haixia; Dong, Xiaoli; Yang, Kehu; Wu, Hongyan

2014-01-01

Background. This review provides the first methodological information assessment of protocol of acupuncture RCTs registered in WHO International Clinical Trials Registry Platform (ICTRP). Methods. All records of acupuncture RCTs registered in the ICTRP have been collected. The methodological design assessment involved whether the randomization methods, allocation concealment, and blinding were adequate or not based on the information of registration records (protocols of acupuncture RCTs). Results. A total of 453 records, found in 11 registries, were examined. Methodological details were insufficient in registration records; there were 76.4%, 89.0%, and 21.4% records that did not provide information on randomization methods, allocation concealment, and blinding respectively. The proportions of adequate randomization methods, allocation concealment, and blinding were only 107 (23.6%), 48 (10.6%), and 210 (46.4%), respectively. The methodological design improved year by year, especially after 2007. Additionally, methodology of RCTs with ethics approval was clearly superior to those without ethics approval and different among registries. Conclusions. The overall methodological design based on registration records of acupuncture RCTs is not very well but improved year by year. The insufficient information on randomization methods, allocation concealment, and blinding maybe due to the relevant description is not taken seriously in acupuncture RCTs' registration.

Progress Towards a Neutral Current $$\\pi^0$$ Cross Section Analysis in the NOvA Near Detector

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bowles, Reed; Paley, Jonathan

The NOvA neutrino experiment is attempting to measure properties of neutrinos in order to figure out information about the universe. To detect the signal neutrino interactions, we must determine methods to identify and isolate background events. Research focused on a specific background interaction called a single prong neutral currentmore » $$\\pi^0$$ interaction. To do this, a basic cuts based analysis was performed, followed by feeding data into a multi-variate analysis package using a boosted decision tree (BDT) algorithm. Using the BDT, a a new variable was generated which separates signal and background very efficiently. Further work must still be done in order to continue improving the performance of the BDT. This research is valuable to the field of studying neutrino cross sections as it is a background which will always be present in this type of analysis.« less

Joint detection and tracking of size-varying infrared targets based on block-wise sparse decomposition

NASA Astrophysics Data System (ADS)

Li, Miao; Lin, Zaiping; Long, Yunli; An, Wei; Zhou, Yiyu

2016-05-01

The high variability of target size makes small target detection in Infrared Search and Track (IRST) a challenging task. A joint detection and tracking method based on block-wise sparse decomposition is proposed to address this problem. For detection, the infrared image is divided into overlapped blocks, and each block is weighted on the local image complexity and target existence probabilities. Target-background decomposition is solved by block-wise inexact augmented Lagrange multipliers. For tracking, label multi-Bernoulli (LMB) tracker tracks multiple targets taking the result of single-frame detection as input, and provides corresponding target existence probabilities for detection. Unlike fixed-size methods, the proposed method can accommodate size-varying targets, due to no special assumption for the size and shape of small targets. Because of exact decomposition, classical target measurements are extended and additional direction information is provided to improve tracking performance. The experimental results show that the proposed method can effectively suppress background clutters, detect and track size-varying targets in infrared images.

A Dynamic Enhancement With Background Reduction Algorithm: Overview and Application to Satellite-Based Dust Storm Detection

NASA Astrophysics Data System (ADS)

Miller, Steven D.; Bankert, Richard L.; Solbrig, Jeremy E.; Forsythe, John M.; Noh, Yoo-Jeong; Grasso, Lewis D.

2017-12-01

This paper describes a Dynamic Enhancement Background Reduction Algorithm (DEBRA) applicable to multispectral satellite imaging radiometers. DEBRA uses ancillary information about the clear-sky background to reduce false detections of atmospheric parameters in complex scenes. Applied here to the detection of lofted dust, DEBRA enlists a surface emissivity database coupled with a climatological database of surface temperature to approximate the clear-sky equivalent signal for selected infrared-based multispectral dust detection tests. This background allows for suppression of false alarms caused by land surface features while retaining some ability to detect dust above those problematic surfaces. The algorithm is applicable to both day and nighttime observations and enables weighted combinations of dust detection tests. The results are provided quantitatively, as a detection confidence factor [0, 1], but are also readily visualized as enhanced imagery. Utilizing the DEBRA confidence factor as a scaling factor in false color red/green/blue imagery enables depiction of the targeted parameter in the context of the local meteorology and topography. In this way, the method holds utility to both automated clients and human analysts alike. Examples of DEBRA performance from notable dust storms and comparisons against other detection methods and independent observations are presented.

Robust foreground detection: a fusion of masked grey world, probabilistic gradient information and extended conditional random field approach.

PubMed

Zulkifley, Mohd Asyraf; Moran, Bill; Rawlinson, David

2012-01-01

Foreground detection has been used extensively in many applications such as people counting, traffic monitoring and face recognition. However, most of the existing detectors can only work under limited conditions. This happens because of the inability of the detector to distinguish foreground and background pixels, especially in complex situations. Our aim is to improve the robustness of foreground detection under sudden and gradual illumination change, colour similarity issue, moving background and shadow noise. Since it is hard to achieve robustness using a single model, we have combined several methods into an integrated system. The masked grey world algorithm is introduced to handle sudden illumination change. Colour co-occurrence modelling is then fused with the probabilistic edge-based background modelling. Colour co-occurrence modelling is good in filtering moving background and robust to gradual illumination change, while an edge-based modelling is used for solving a colour similarity problem. Finally, an extended conditional random field approach is used to filter out shadow and afterimage noise. Simulation results show that our algorithm performs better compared to the existing methods, which makes it suitable for higher-level applications.

Data compression and information retrieval via symbolization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tang, X.Z.; Tracy, E.R.

Converting a continuous signal into a multisymbol stream is a simple method of data compression which preserves much of the dynamical information present in the original signal. The retrieval of selected types of information from symbolic data involves binary operations and is therefore optimal for digital computers. For example, correlation time scales can be easily recovered, even at high noise levels, by varying the time delay for symbolization. Also, the presence of periodicity in the signal can be reliably detected even if it is weak and masked by a dominant chaotic/stochastic background. {copyright} {ital 1998 American Institute of Physics.}

The limits of arousal's memory impairing effects on nearby information

PubMed Central

Mather, Mara; Gorlick, Marissa; Nesmith, Kathryn

2009-01-01

Showing an arousing central stimulus in a scene often leads to enhanced memory for the arousing central information and impaired memory for peripheral details. However, it is not clear from previous work whether arousing stimuli impair memory for all non-arousing nearby information or just background information. In several experiments, we tested how emotionally arousing pictures affect memory for nearby pictures and for background information. We found that when two pictures were presented together, having one of the pictures be arousing did not affect item and location memory for the other picture. In contrast, an arousing picture impaired memory for a background pattern. These findings suggest that arousal impairs memory for information that is the target of perceptual suppression, such as background information when there is a figure-ground distinction, but does not impair memory for other foreground information. PMID:19827704

The limits of arousal's memory-impairing effects on nearby information.

PubMed

Mather, Mara; Gorlick, Marissa A; Nesmith, Kathryn

2009-01-01

Showing an arousing central stimulus in a scene often leads to enhanced memory for the arousing central information and impaired memory for peripheral details. However, it is not clear from previous work whether arousing stimuli impair memory for all nonarousing nearby information or just background information. In several experiments, we tested how emotionally arousing pictures affect memory for nearby pictures and for background information. We found that when 2 pictures were presented together, an arousing picture did not affect item and location memory for the other picture. In contrast, an arousing picture impaired memory for a background pattern. These findings suggest that arousal impairs memory for information that is the target of perceptual suppression, such as background information when there is a figure-ground distinction, but does not impair memory for other foreground information.

Your attention please: increasing ambient noise levels elicits a change in communication behaviour in humpback whales (Megaptera novaeangliae)

PubMed Central

Dunlop, Rebecca A.; Cato, Douglas H.; Noad, Michael J.

2010-01-01

High background noise is an important obstacle in successful signal detection and perception of an intended acoustic signal. To overcome this problem, many animals modify their acoustic signal by increasing the repetition rate, duration, amplitude or frequency range of the signal. An alternative method to ensure successful signal reception, yet to be tested in animals, involves the use of two different types of signal, where one signal type may enhance the other in periods of high background noise. Humpback whale communication signals comprise two different types: vocal signals, and surface-generated signals such as ‘breaching’ or ‘pectoral slapping’. We found that humpback whales gradually switched from primarily vocal to primarily surface-generated communication in increasing wind speeds and background noise levels, though kept both signal types in their repertoire. Vocal signals have the advantage of having higher information content but may have the disadvantage of loosing this information in a noisy environment. Surface-generated sounds have energy distributed over a greater frequency range and may be less likely to become confused in periods of high wind-generated noise but have less information content when compared with vocal sounds. Therefore, surface-generated sounds may improve detection or enhance the perception of vocal signals in a noisy environment. PMID:20392731

Your attention please: increasing ambient noise levels elicits a change in communication behaviour in humpback whales (Megaptera novaeangliae).

PubMed

Dunlop, Rebecca A; Cato, Douglas H; Noad, Michael J

2010-08-22

High background noise is an important obstacle in successful signal detection and perception of an intended acoustic signal. To overcome this problem, many animals modify their acoustic signal by increasing the repetition rate, duration, amplitude or frequency range of the signal. An alternative method to ensure successful signal reception, yet to be tested in animals, involves the use of two different types of signal, where one signal type may enhance the other in periods of high background noise. Humpback whale communication signals comprise two different types: vocal signals, and surface-generated signals such as 'breaching' or 'pectoral slapping'. We found that humpback whales gradually switched from primarily vocal to primarily surface-generated communication in increasing wind speeds and background noise levels, though kept both signal types in their repertoire. Vocal signals have the advantage of having higher information content but may have the disadvantage of loosing this information in a noisy environment. Surface-generated sounds have energy distributed over a greater frequency range and may be less likely to become confused in periods of high wind-generated noise but have less information content when compared with vocal sounds. Therefore, surface-generated sounds may improve detection or enhance the perception of vocal signals in a noisy environment.

Site Amplification Characteristics of the Several Seismic Stations at Jeju Island, in Korea, using S-wave Energy, Background Noise, and Coda waves from the East Japan earthquake (Mar. 11th, 2011) Series.

NASA Astrophysics Data System (ADS)

Seong-hwa, Y.; Wee, S.; Kim, J.

2016-12-01

Observed ground motions are composed of 3 main factors such as seismic source, seismic wave attenuation and site amplification. Among them, site amplification is also important factor and should be considered to estimate soil-structure dynamic interaction with more reliability. Though various estimation methods are suggested, this study used the method by Castro et. al.(1997) for estimating site amplification. This method has been extended to background noise, coda waves and S waves recently for estimating site amplification. This study applied the Castro et. al.(1997)'s method to 3 different seismic waves, that is, S-wave Energy, Background Noise, and Coda waves. This study analysed much more than about 200 ground motions (acceleration type) from the East Japan earthquake (March 11th, 2011) Series of seismic stations at Jeju Island (JJU, SGP, HALB, SSP and GOS; Fig. 1), in Korea. The results showed that most of the seismic stations gave similar results among three types of seismic energies. Each station showed its own characteristics of site amplification property in low, high and specific resonance frequency ranges. Comparison of this study to other studies can give us much information about dynamic amplification of domestic sites characteristics and site classification.

Neutral Details Associated with Emotional Events are Encoded: Evidence from a Cued Recall Paradigm

PubMed Central

Steinmetz, Katherine R. Mickley; Knight, Aubrey G.; Kensinger, Elizabeth A.

2015-01-01

Enhanced emotional memory often comes at the cost of memory for surrounding background information. Narrowed-encoding theories suggest that this is due to narrowed attention for emotional information at encoding, leading to impaired encoding of background information. Recent work has suggested that an encoding-based theory may be insufficient. Here, we examined whether cued recall – instead of previously used recognition memory tasks - would reveal evidence that non-emotional information associated with emotional information was effectively encoded. Participants encoded positive, negative, or neutral objects on neutral backgrounds. At retrieval, they were given either the item or the background as a memory cue and were asked to recall the associated scene element. Counter to narrowed-encoding theories, emotional items were more likely than neutral items to trigger recall of the associated background. This finding suggests that there is a memory trace of this contextual information and that emotional cues may facilitate retrieval of this information. PMID:26220708

Super-resolved all-refocused image with a plenoptic camera

NASA Astrophysics Data System (ADS)

Wang, Xiang; Li, Lin; Hou, Guangqi

2015-12-01

This paper proposes an approach to produce the super-resolution all-refocused images with the plenoptic camera. The plenoptic camera can be produced by putting a micro-lens array between the lens and the sensor in a conventional camera. This kind of camera captures both the angular and spatial information of the scene in one single shot. A sequence of digital refocused images, which are refocused at different depth, can be produced after processing the 4D light field captured by the plenoptic camera. The number of the pixels in the refocused image is the same as that of the micro-lens in the micro-lens array. Limited number of the micro-lens will result in poor low resolution refocused images. Therefore, not enough details will exist in these images. Such lost details, which are often high frequency information, are important for the in-focus part in the refocused image. We decide to super-resolve these in-focus parts. The result of image segmentation method based on random walks, which works on the depth map produced from the 4D light field data, is used to separate the foreground and background in the refocused image. And focusing evaluation function is employed to determine which refocused image owns the clearest foreground part and which one owns the clearest background part. Subsequently, we employ single image super-resolution method based on sparse signal representation to process the focusing parts in these selected refocused images. Eventually, we can obtain the super-resolved all-focus image through merging the focusing background part and the focusing foreground part in the way of digital signal processing. And more spatial details will be kept in these output images. Our method will enhance the resolution of the refocused image, and just the refocused images owning the clearest foreground and background need to be super-resolved.

Detection of change points in underlying earthquake rates, with application to global mega-earthquakes

NASA Astrophysics Data System (ADS)

Touati, Sarah; Naylor, Mark; Main, Ian

2016-02-01

The recent spate of mega-earthquakes since 2004 has led to speculation of an underlying change in the global `background' rate of large events. At a regional scale, detecting changes in background rate is also an important practical problem for operational forecasting and risk calculation, for example due to volcanic processes, seismicity induced by fluid injection or withdrawal, or due to redistribution of Coulomb stress after natural large events. Here we examine the general problem of detecting changes in background rate in earthquake catalogues with and without correlated events, for the first time using the Bayes factor as a discriminant for models of varying complexity. First we use synthetic Poisson (purely random) and Epidemic-Type Aftershock Sequence (ETAS) models (which also allow for earthquake triggering) to test the effectiveness of many standard methods of addressing this question. These fall into two classes: those that evaluate the relative likelihood of different models, for example using Information Criteria or the Bayes Factor; and those that evaluate the probability of the observations (including extreme events or clusters of events) under a single null hypothesis, for example by applying the Kolmogorov-Smirnov and `runs' tests, and a variety of Z-score tests. The results demonstrate that the effectiveness among these tests varies widely. Information Criteria worked at least as well as the more computationally expensive Bayes factor method, and the Kolmogorov-Smirnov and runs tests proved to be the relatively ineffective in reliably detecting a change point. We then apply the methods tested to events at different thresholds above magnitude M ≥ 7 in the global earthquake catalogue since 1918, after first declustering the catalogue. This is most effectively done by removing likely correlated events using a much lower magnitude threshold (M ≥ 5), where triggering is much more obvious. We find no strong evidence that the background rate of large events worldwide has increased in recent years.

Discriminative object tracking via sparse representation and online dictionary learning.

PubMed

Xie, Yuan; Zhang, Wensheng; Li, Cuihua; Lin, Shuyang; Qu, Yanyun; Zhang, Yinghua

2014-04-01

We propose a robust tracking algorithm based on local sparse coding with discriminative dictionary learning and new keypoint matching schema. This algorithm consists of two parts: the local sparse coding with online updated discriminative dictionary for tracking (SOD part), and the keypoint matching refinement for enhancing the tracking performance (KP part). In the SOD part, the local image patches of the target object and background are represented by their sparse codes using an over-complete discriminative dictionary. Such discriminative dictionary, which encodes the information of both the foreground and the background, may provide more discriminative power. Furthermore, in order to adapt the dictionary to the variation of the foreground and background during the tracking, an online learning method is employed to update the dictionary. The KP part utilizes refined keypoint matching schema to improve the performance of the SOD. With the help of sparse representation and online updated discriminative dictionary, the KP part are more robust than the traditional method to reject the incorrect matches and eliminate the outliers. The proposed method is embedded into a Bayesian inference framework for visual tracking. Experimental results on several challenging video sequences demonstrate the effectiveness and robustness of our approach.

Retrieving clear-air turbulence information from regular commercial aircraft using Mode-S and ADS-B broadcast

NASA Astrophysics Data System (ADS)

Kopeć, J. M.; Kwiatkowski, K.; de Haan, S.; Malinowski, S. P.

2015-11-01

Navigational information broadcast by commercial aircraft in the form of Mode-S and ADS-B messages can be considered a new and valid source of upper air turbulence measurements. A set of three processing methods is proposed and analysed using a quality record of turbulence encounters made by a research aircraft. The proposed methods are based on processing the vertical acceleration or the background wind into the eddy dissipation rate. All the necessary parameters are conveyed in the Mode-S/ADS-B messages. The comparison of the results of application of the processing against a reference eddy dissipation rate obtained using on-board accelerometer indicate a significant potential of those methods. The advantages and limitation of the presented approaches are discussed.

Assessing Statistical Competencies in Clinical and Translational Science Education: One Size Does Not Fit All

PubMed Central

Lindsell, Christopher J.; Welty, Leah J.; Mazumdar, Madhu; Thurston, Sally W.; Rahbar, Mohammad H.; Carter, Rickey E.; Pollock, Bradley H.; Cucchiara, Andrew J.; Kopras, Elizabeth J.; Jovanovic, Borko D.; Enders, Felicity T.

2014-01-01

Abstract Introduction Statistics is an essential training component for a career in clinical and translational science (CTS). Given the increasing complexity of statistics, learners may have difficulty selecting appropriate courses. Our question was: what depth of statistical knowledge do different CTS learners require? Methods For three types of CTS learners (principal investigator, co‐investigator, informed reader of the literature), each with different backgrounds in research (no previous research experience, reader of the research literature, previous research experience), 18 experts in biostatistics, epidemiology, and research design proposed levels for 21 statistical competencies. Results Statistical competencies were categorized as fundamental, intermediate, or specialized. CTS learners who intend to become independent principal investigators require more specialized training, while those intending to become informed consumers of the medical literature require more fundamental education. For most competencies, less training was proposed for those with more research background. Discussion When selecting statistical coursework, the learner's research background and career goal should guide the decision. Some statistical competencies are considered to be more important than others. Baseline knowledge assessments may help learners identify appropriate coursework. Conclusion Rather than one size fits all, tailoring education to baseline knowledge, learner background, and future goals increases learning potential while minimizing classroom time. PMID:25212569

Quasi-causal associations of physical activity and neighborhood walkability with body mass index: a twin study.

PubMed

Duncan, Glen E; Cash, Stephanie Whisnant; Horn, Erin E; Turkheimer, Eric

2015-01-01

Physical activity, neighborhood walkability, and body mass index (BMI, kg/m(2)) associations were tested using quasi-experimental twin methods. We hypothesized that physical activity and walkability were independently associated with BMI within twin pairs, controlling for genetic and environmental background shared between them. Data were from 6376 (64% female; 58% identical) same-sex pairs, University of Washington Twin Registry, 2008-2013. Neighborhood walking, moderate-to-vigorous physical activity (MVPA), and BMI were self-reported. Residential address was used to calculate walkability. Phenotypic (non-genetically informed) and biometric (genetically informed) regression was employed, controlling for age, sex, and race. Walking and MVPA were associated with BMI in phenotypic analyses; associations were attenuated but significant in biometric analyses (Ps<0.05). Walkability was not associated with BMI, however, was associated with walking (but not MVPA) in both phenotypic and biometric analyses (Ps<0.05), with no attenuation accounting for shared genetic and environmental background. The association between activity and BMI is largely due to shared genetic and environmental factors, but a significant causal relationship remains accounting for shared background. Although walkability is not associated with BMI, it is associated with neighborhood walking (but not MVPA) accounting for shared background, suggesting a causal relationship between them. Copyright © 2014 Elsevier Inc. All rights reserved.

A fresh approach to forecasting in astroparticle physics and dark matter searches

NASA Astrophysics Data System (ADS)

Edwards, Thomas D. P.; Weniger, Christoph

2018-02-01

We present a toolbox of new techniques and concepts for the efficient forecasting of experimental sensitivities. These are applicable to a large range of scenarios in (astro-)particle physics, and based on the Fisher information formalism. Fisher information provides an answer to the question 'what is the maximum extractable information from a given observation?'. It is a common tool for the forecasting of experimental sensitivities in many branches of science, but rarely used in astroparticle physics or searches for particle dark matter. After briefly reviewing the Fisher information matrix of general Poisson likelihoods, we propose very compact expressions for estimating expected exclusion and discovery limits ('equivalent counts method'). We demonstrate by comparison with Monte Carlo results that they remain surprisingly accurate even deep in the Poisson regime. We show how correlated background systematics can be efficiently accounted for by a treatment based on Gaussian random fields. Finally, we introduce the novel concept of Fisher information flux. It can be thought of as a generalization of the commonly used signal-to-noise ratio, while accounting for the non-local properties and saturation effects of background and instrumental uncertainties. It is a powerful and flexible tool ready to be used as core concept for informed strategy development in astroparticle physics and searches for particle dark matter.

Small-target leak detection for a closed vessel via infrared image sequences

NASA Astrophysics Data System (ADS)

Zhao, Ling; Yang, Hongjiu

2017-03-01

This paper focus on a leak diagnosis and localization method based on infrared image sequences. Some problems on high probability of false warning and negative affect for marginal information are solved by leak detection. An experimental model is established for leak diagnosis and localization on infrared image sequences. The differential background prediction is presented to eliminate the negative affect of marginal information on test vessel based on a kernel regression method. A pipeline filter based on layering voting is designed to reduce probability of leak point false warning. A synthesize leak diagnosis and localization algorithm is proposed based on infrared image sequences. The effectiveness and potential are shown for developed techniques through experimental results.

Discrimination of isotrigon textures using the Rényi entropy of Allan variances.

PubMed

Gabarda, Salvador; Cristóbal, Gabriel

2008-09-01

We present a computational algorithm for isotrigon texture discrimination. The aim of this method consists in discriminating isotrigon textures against a binary random background. The extension of the method to the problem of multitexture discrimination is considered as well. The method relies on the fact that the information content of time or space-frequency representations of signals, including images, can be readily analyzed by means of generalized entropy measures. In such a scenario, the Rényi entropy appears as an effective tool, given that Rényi measures can be used to provide information about a local neighborhood within an image. Localization is essential for comparing images on a pixel-by-pixel basis. Discrimination is performed through a local Rényi entropy measurement applied on a spatially oriented 1-D pseudo-Wigner distribution (PWD) of the test image. The PWD is normalized so that it may be interpreted as a probability distribution. Prior to the calculation of the texture's PWD, a preprocessing filtering step replaces the original texture with its localized spatially oriented Allan variances. The anisotropic structure of the textures, as revealed by the Allan variances, turns out to be crucial later to attain a high discrimination by the extraction of Rényi entropy measures. The method has been empirically evaluated with a family of isotrigon textures embedded in a binary random background. The extension to the case of multiple isotrigon mosaics has also been considered. Discrimination results are compared with other existing methods.

Improved sensing using simultaneous deep-UV Raman and fluorescence detection-II

NASA Astrophysics Data System (ADS)

Hug, W. F.; Bhartia, R.; Sijapati, K.; Beegle, L. W.; Reid, R. D.

2014-05-01

Photon Systems in collaboration with JPL is continuing development of a new technology robot-mounted or hand-held sensor for reagentless, short-range, standoff detection and identification of trace levels chemical, biological, and explosive (CBE) materials on surfaces. This deep ultraviolet CBE sensor is the result of Army STTR and DTRA programs. The evolving 10 to 15 lb, 20 W, sensor can discriminate CBE from background clutter materials using a fusion of deep UV excited resonance Raman (RR) and laser induced native fluorescence (LINF) emissions collected is less than 1 ms. RR is a method that provides information about molecular bonds, while LINF spectroscopy is a much more sensitive method that provides information regarding the electronic configuration of target molecules. Standoff excitation of suspicious packages, vehicles, persons, and other objects that may contain hazardous materials is accomplished using excitation in the deep UV where there are four main advantages compared to near-UV, visible or near-IR counterparts. 1) Excited between 220 and 250 nm, Raman emission occur within a fluorescence-free region of the spectrum, eliminating obscuration of weak Raman signals by fluorescence from target or surrounding materials. 2) Because Raman and fluorescence occupy separate spectral regions, detection can be done simultaneously, providing an orthogonal set of information to improve both sensitivity and lower false alarm rates. 3) Rayleigh law and resonance effects increase Raman signal strength and sensitivity of detection. 4) Penetration depth into target in the deep UV is short, providing spatial/spectral separation of a target material from its background or substrate. 5) Detection in the deep UV eliminates ambient light background and enable daylight detection.

Infrared and visible image fusion based on robust principal component analysis and compressed sensing

NASA Astrophysics Data System (ADS)

Li, Jun; Song, Minghui; Peng, Yuanxi

2018-03-01

Current infrared and visible image fusion methods do not achieve adequate information extraction, i.e., they cannot extract the target information from infrared images while retaining the background information from visible images. Moreover, most of them have high complexity and are time-consuming. This paper proposes an efficient image fusion framework for infrared and visible images on the basis of robust principal component analysis (RPCA) and compressed sensing (CS). The novel framework consists of three phases. First, RPCA decomposition is applied to the infrared and visible images to obtain their sparse and low-rank components, which represent the salient features and background information of the images, respectively. Second, the sparse and low-rank coefficients are fused by different strategies. On the one hand, the measurements of the sparse coefficients are obtained by the random Gaussian matrix, and they are then fused by the standard deviation (SD) based fusion rule. Next, the fused sparse component is obtained by reconstructing the result of the fused measurement using the fast continuous linearized augmented Lagrangian algorithm (FCLALM). On the other hand, the low-rank coefficients are fused using the max-absolute rule. Subsequently, the fused image is superposed by the fused sparse and low-rank components. For comparison, several popular fusion algorithms are tested experimentally. By comparing the fused results subjectively and objectively, we find that the proposed framework can extract the infrared targets while retaining the background information in the visible images. Thus, it exhibits state-of-the-art performance in terms of both fusion effects and timeliness.

Image Segmentation Using Minimum Spanning Tree

NASA Astrophysics Data System (ADS)

Dewi, M. P.; Armiati, A.; Alvini, S.

2018-04-01

This research aim to segmented the digital image. The process of segmentation is to separate the object from the background. So the main object can be processed for the other purposes. Along with the development of technology in digital image processing application, the segmentation process becomes increasingly necessary. The segmented image which is the result of the segmentation process should accurate due to the next process need the interpretation of the information on the image. This article discussed the application of minimum spanning tree on graph in segmentation process of digital image. This method is able to separate an object from the background and the image will change to be the binary images. In this case, the object that being the focus is set in white, while the background is black or otherwise.

Query3d: a new method for high-throughput analysis of functional residues in protein structures

PubMed Central

Ausiello, Gabriele; Via, Allegra; Helmer-Citterich, Manuela

2005-01-01

Background The identification of local similarities between two protein structures can provide clues of a common function. Many different methods exist for searching for similar subsets of residues in proteins of known structure. However, the lack of functional and structural information on single residues, together with the low level of integration of this information in comparison methods, is a limitation that prevents these methods from being fully exploited in high-throughput analyses. Results Here we describe Query3d, a program that is both a structural DBMS (Database Management System) and a local comparison method. The method conserves a copy of all the residues of the Protein Data Bank annotated with a variety of functional and structural information. New annotations can be easily added from a variety of methods and known databases. The algorithm makes it possible to create complex queries based on the residues' function and then to compare only subsets of the selected residues. Functional information is also essential to speed up the comparison and the analysis of the results. Conclusion With Query3d, users can easily obtain statistics on how many and which residues share certain properties in all proteins of known structure. At the same time, the method also finds their structural neighbours in the whole PDB. Programs and data can be accessed through the PdbFun web interface. PMID:16351754

Method for technology-delivered healthcare measures.

PubMed

Kramer-Jackman, Kelli Lee; Popkess-Vawter, Sue

2011-12-01

Current healthcare literature lacks development and evaluation methods for research and practice measures administered by technology. Researchers with varying levels of informatics experience are developing technology-delivered measures because of the numerous advantages they offer. Hasty development of technology-delivered measures can present issues that negatively influence administration and psychometric properties. The Method for Technology-delivered Healthcare Measures is designed to systematically guide the development and evaluation of technology-delivered measures. The five-step Method for Technology-delivered Healthcare Measures includes establishment of content, e-Health literacy, technology delivery, expert usability, and participant usability. Background information and Method for Technology-delivered Healthcare Measures steps are detailed.

The Institute of American Indian Arts Background Information (Task One of the Transition Evaluation). Background Paper.

ERIC Educational Resources Information Center

Tippeconnic, John W., Jr.

The paper, prepared as Task One of the Institute of American Indian Arts Transition Evaluation, provides pertinent background information about the Institute of American Indian Arts in Santa Fe, New Mexico. A brief history of the Institute is given, with information about its philosophy and purpose; objectives; organization and administration; the…

Life Events and Emergency Department Visits in Response to Crisis in Individuals with Intellectual Disabilities

ERIC Educational Resources Information Center

Lunsky, Y.; Elserafi, J.

2011-01-01

Background: Stressful life events have been linked to psychopathology in the general population, but few studies have considered the relationship between life events and psychopathology for people with intellectual disabilities (ID), and the link between particular life events and hospital use. Methods: Informants provided data on 746 adults with…

Capacity of People with Intellectual Disabilities to Consent to Take Part in a Research Study

ERIC Educational Resources Information Center

Dye, Linda; Hare, Dougal Julian; Hendy, Steve

2007-01-01

Background: Within the context of current legislation relating to mental capacity in adults, the capacity of people with intellectual disabilities to consent to take part in research studies and the impact of different forms of information provision was experimentally investigated. Materials and methods: A questionnaire measure of ability to…

ADHD Symptom Presentation and Trajectory in Adults with Borderline and Mild Intellectual Disability

ERIC Educational Resources Information Center

Xenitidis, K.; Paliokosta, E.; Rose, E.; Maltezos, S.; Bramham, J.

2010-01-01

Background: This study examined symptoms and lifetime course of Attention Deficit Hyperactivity Disorder (ADHD) in adults with borderline and mild Intellectual Disability (ID). Method: A total of 48 adults with ID and ADHD were compared with 221 adults with ADHD without ID using the informant Barkley scale for childhood and adulthood symptoms.…

Recall Memory in Children with Down Syndrome and Typically Developing Peers Matched on Developmental Age

ERIC Educational Resources Information Center

Milojevich, H.; Lukowski, A.

2016-01-01

Background: Whereas research has indicated that children with Down syndrome (DS) imitate demonstrated actions over short delays, it is presently unknown whether children with DS recall information over lengthy delays at levels comparable with typically developing (TD) children matched on developmental age. Method: In the present research, 10…

Adult Outcome for Children with Autism

ERIC Educational Resources Information Center

Howlin, Patricia; Goode, Susan; Hutton, Jane; Rutter, Michael

2004-01-01

Background: Information on long-term prognosis in autism is limited. Outcome is known to be poor for those with an IQ below 50, but there have been few systematic studies of individuals with an IQ above this. Method: Sixty-eight individuals meeting criteria for autism and with a performance IQ of 50 or above in childhood were followed up as…

Older Students in Europe. A Survey of Older Students in Four European Countries.

ERIC Educational Resources Information Center

Clennell, Stephanie, Ed.

A survey of older students received responses from 4,461 people aged 60 or over in four European countries: United Kingdom, West Germany, France, and Belgium. The questionnaire had three sections: students' background; information on study methods, time spent, organization of work, and use of study aids; and Approaches to Study Inventory (ASI).…

Could Participant-Produced Photography Augment Therapeutic Interventions for People with Intellectual Disabilities? A Systematic Review of the Available Evidence

ERIC Educational Resources Information Center

Boulton, Natalie E.; Williams, Jonathan; Jones, Robert S. P.

2018-01-01

Background: People with intellectual disabilities are entitled to equitable access to psychological support. Traditional therapeutic approaches often rely on a person's ability to verbally articulate a description of their life, which can be particularly difficult for emotionally salient information. Methods: A systematic literature review was…

Reported Motivations for and Locations of Healthy Eating among Georgia High School Students

ERIC Educational Resources Information Center

Kumar, Gayathri S.; Bryan, Michael; Bayakly, Rana; Drenzek, Cherie; Merlo, Caitlin; Perry, Geraldine S.

2017-01-01

Background: Understanding how youth perceive eating healthy foods can inform programs and policies that aim to improve healthy eating. We assessed the reasons for and the most common locations of eating healthy foods among Georgia's (GA) high school (HS) students. Methods: Using the 2013 GA HS Youth Risk Behavior Survey, we examined motivations…

Acceptability of the Components of a Loneliness Intervention among Elderly Dutch People: A Qualitative Study

ERIC Educational Resources Information Center

Honigh-de Vlaming, R.; Haveman-Nies, A.; Ziylan, C.; Renes, R. J.

2013-01-01

Background: Healthy Ageing is a complex intervention aimed at reducing the prevalence of loneliness among elderly Dutch people. Purpose: This study aimed to assess how mass media communication materials, information meetings, and psychosocial courses were received by elderly people at high risk of loneliness. Methods: Face-to-face interviews with…

Evolution of Policy Leading to the 2006 General Dental Service Contract and Some Possible Outcomes

ERIC Educational Resources Information Center

Downer, Martin C.; Drugan, Caroline S.

2007-01-01

Background and objective: This paper was designed to rehearse the evolution of policy for the UK NHS General Dental Service (and related services) since its inception in 1948, culminating in the establishment of a new contract for general dental practitioners in 2006. Methods: Information was abstracted from the literature, historical records,…

Impact of Extended Education/Training in Positive Behaviour Support on Staff Knowledge, Causal Attributions and Emotional Responses

ERIC Educational Resources Information Center

McGill, Peter; Bradshaw, Jill; Hughes, Andrea

2007-01-01

Background: This study sought to gather information about the impact of extended training in positive behaviour support on staff knowledge, causal attributions and emotional responses. Methods: Students completed questionnaires at the beginning, middle and end of a University Diploma course to measure changes in their knowledge of challenging…

Medication Use among Australian Adults with Intellectual Disability in Primary Healthcare Settings: A Cross-Sectional Study

ERIC Educational Resources Information Center

Doan, Tan N.; Lennox, Nicholas G.; Taylor-Gomez, Miriam; Ware, Robert S.

2013-01-01

Background: There is concern about widespread medication use by people with intellectual disability (ID), especially psychotropic and anticonvulsant agents. However, there is sparse information on prescribing patterns in Australia. Method: This cross-sectional study was conducted between 2000 and 2002 among adults with ID who live in the community…

77 FR 129 - Golden Eagles; Programmatic Take Permit Application; Draft Environmental Assessment; West Butte...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-03

... permit issued to a wind- energy company. Background BGEPA allows us to authorize bald eagle and golden... information by one of the following methods. Email: pacific_birds@fws.gov . Include ``DEA for the West Butte... Michael Green, Acting Chief, Division of Migratory Birds and Habitat Programs, Pacific Region, U.S. Fish...

Diabulimia and the Role of School Health Personnel

ERIC Educational Resources Information Center

Hasken, Julie; Kresl, Laura; Nydegger, Teresa; Temme, Megan

2010-01-01

Background: Diabulimia, the omission or reduction of insulin use by persons with type 1 diabetes, is a harmful method of weight control. The purpose of this article is to present school health personnel with the information they may need to become more aware of the possibility of diabulimia in their students--especially females--with type 1…

Evaluating the Impact of a Connecticut Program to Reduce Availability of Unhealthy Competitive Food in Schools

ERIC Educational Resources Information Center

Long, Michael W.; Henderson, Kathryn E.; Schwartz, Marlene B.

2010-01-01

Background: This article seeks to inform state and local school food policies by evaluating the impact of Connecticut's Healthy Food Certification (HFC), a program which provides monetary incentives to school districts that choose to implement state nutrition standards for all foods sold to students outside reimbursable school meals. Methods: Food…

Preferences and Attitudes toward Progress Reporting Methods of Parents from Diverse Backgrounds

ERIC Educational Resources Information Center

Sousa, Darlene Anastacia; Luze, Gayle; Hughes-Belding, Kere

2014-01-01

There is a growing movement in education toward data-based decision-making requiring frequent monitoring of student progress. However, the literature fails to provide direction as to the best means of communicating information about a child's progress with his or her parents. Given the increasing number of immigrant families being served, it…

Biscuits, Sausage, Gravy, Milk, and Orange Juice: School Breakfast Environment in 4 Rural Appalachian Schools

ERIC Educational Resources Information Center

Graves, Andrea; Haughton, Betsy; Jahns, Lisa; Fitzhugh, Eugene; Jones, Sonya J.

2008-01-01

Background: The purpose of this study was to assess the school breakfast environment in rural Appalachian schools to inform school environment intervention and policy change. Methods: A total of 4 rural schools with fourth- and fifth-grade students in East Tennessee were assessed. A cross-sectional descriptive examination of the school food…

Mortality of People with Intellectual and Developmental Disabilities from Select US State Disability Service Systems and Medical Claims Data

ERIC Educational Resources Information Center

Lauer, Emily; McCallion, Philip

2015-01-01

Background: Monitoring population trends including mortality within subgroups such as people with intellectual and developmental disabilities and between countries provides crucial information about the population's health and insights into underlying health concerns and the need for and effectiveness of public health efforts. Methods: Data from…

Food and Nutrition: Supplemental Lessons for Training Extension Aides: Food Preparation.

ERIC Educational Resources Information Center

Johnson, Evelyn H.; And Others

The lessons were written to help trainer agents prepare aides for work with families in Extension's Expanded Food and Nutrition Program. The purpose is to enrich the aides' background in food preparation and to provide practical teaching methods that can be used in presenting food preparation information to families. The 21 lessons are an…

Unmet Needs of Families of School-Aged Children with an Autism Spectrum Disorder

ERIC Educational Resources Information Center

Brown, Hilary K.; Ouellette-Kuntz, Helene; Hunter, Duncan; Kelley, Elizabeth; Cobigo, Virginie

2012-01-01

Background: To aid decision making regarding the allocation of limited resources, information is needed on the perceived unmet needs of parents of school-aged children with an autism spectrum disorder. Materials and Methods: A cross-sectional survey was conducted of 101 Canadian families of school-aged children with an autism spectrum disorder.…

Physical Interventions for Adults with Intellectual Disabilities: Survey of Use, Policy, Training and Monitoring

ERIC Educational Resources Information Center

Deveau, Roy; McGill, Peter

2009-01-01

Background: Perceived problems around the use of physical intervention (PI) to manage challenging behaviour have led to UK initiatives to encourage policy development and accredited training. However, information on PI use and the impact of these initiatives remains limited. Method: Adult residential services within an English region were sent a…

A Review and Introduction to Higher Education Price Response Studies. Working Paper Series.

ERIC Educational Resources Information Center

Chisholm, Mark; Cohen, Bethaviva

Background information needed to understand the literature on the impact of price on college attendance (i.e. price-response literature) is provided. After briefly introducing price theory and its use in demand studies in higher education, the major expository articles are reviewed, and major analytical methods used by researchers are examined.…

Adult Persons with Intellectual Disabilities on the Island of Ireland

ERIC Educational Resources Information Center

McConkey, R.; Mulvany, F.; Barron, S.

2006-01-01

Background: Information on the numbers of adult persons (aged 20 years and over) with intellectual disability (ID) is rarely collated at a national level. This is an impediment to service planning especially for a changing population. Methods: A database of all persons in receipt of ID services has been operating in the Republic of Ireland since…

American Indian Women and Screening Mammography: Findings from a Qualitative Study in Oklahoma

ERIC Educational Resources Information Center

Tolma, Eleni; Batterton, Chasity; Hamm, Robert M.; Thompson, David; Engelman, Kimberly K.

2012-01-01

Background: Breast cancer is an important public health issue within the American Indian (AI) community in Oklahoma; however, there is limited information to explain the low screening mammography rates among AI women. Purpose: To identify the motivational factors affecting an AI woman's decision to obtain a mammogram. Methods: Through the use of…

The gap between what we measure and what we want to know about ecosystem services in streams and their linkages of human values

EPA Science Inventory

Background/Questions/Methods (190 words) We evaluate national stream monitoring data based on its capacity to link stream ecosystems to analyses of human well-being. As a nation we invest substantially in monitoring, but may miss opportunities to collect information that effecti...

A Classroom Experiment in Marketing: Innovative Methods for the Teaching of Business French.

ERIC Educational Resources Information Center

Herman, Gerald

Techniques and approaches used in a commercial French course offered at a state university are outlined. The course objective is to prepare American students for potential business experience or dealings in a French-speaking country. After background information about the course structure is given, the discussion focuses on the marketing segment,…

Physical Activity of Fifth to Sixth Graders during School Hours According to School Race/Ethnicity: Suburban Cook County, Illinois

ERIC Educational Resources Information Center

Kwon, Soyang; Mason, Maryann; Welch, Sarah

2015-01-01

Background: We compared moderate-to-vigorous intensity physical activity (MVPA) and inactivity levels among fifth and sixth graders during school hours according to school-level race/ethnicity and income attributes to inform school-based obesity interventions in Illinois Suburban Cook County (SCC). Methods: Fifth- and sixth-grade students…

H1N1 Preventive Health Behaviors in a University Setting

ERIC Educational Resources Information Center

Katz, Rebecca; May, Larissa; Sanza, Megan; Johnston, Lindsay; Petinaux, Bruno

2012-01-01

Background: When H1N1 emerged in 2009, institutions of higher education were immediately faced with questions about how best to protect their community from the virus, yet limited information existed to help predict student preventive behaviors. Methods: The authors surveyed students at a large urban university in November 2009 to better…

The Reliability and Validity of the Dominic Interactive: A Computerized Child Report Instrument for Mental Health Problems

ERIC Educational Resources Information Center

Kuijpers, Rowella C. W. M.; Otten, Roy; Krol, Nicole P. C. M.; Vermulst, Ad A.; Engels, Rutger C. M. E.

2013-01-01

Background: Children and youths' self-report of mental health problems is considered essential but complicated. Objective: This study examines the psychometric properties of the Dominic Interactive, a computerized DSM-IV based self-report questionnaire and explores informant correspondence. Methods: The Dominic Interactive was administered to 214…

Inequalities in the Provision of Paediatric Speech and Language Therapy Services across London Boroughs

ERIC Educational Resources Information Center

Pring, Tim

2016-01-01

Background: The inverse-care law suggests that fewer healthcare resources are available in deprived areas where health needs are greatest. Aims: To examine the provision of paediatric speech and language services across London boroughs and to relate provision to the level of deprivation of the boroughs. Methods & Procedures: Information on the…

Intracultural variation of knowledge about wild plant uses in the Biosphere Reserve Grosses Walsertal (Austria)

PubMed Central

2012-01-01

Background Leading scholars in ethnobiology and ethnomedicine continuously stress the need for moving beyond the bare description of local knowledge and to additionally analyse and theorise about the characteristics and dynamics of human interactions with plants and related local knowledge. Analyses of the variation of local knowledge are thereby perceived as minimal standard. In this study we investigate the distribution and variation of wild plant knowledge in five domains: food, drinks, human medicine, veterinary medicine and customs. We assess relations between the wild plant knowledge of informants and their socio-demographic as well as geographic background. Method Research was conducted in the Biosphere Reserve Grosses Walsertal, Austria. Structured questionnaires were used to inquire wild plant knowledge from 433 informants with varying socio-demographic and geographic background. Children assisted in the data collection. Data was analysed using descriptive statistics and generalized linear models. Results and discussion A majority of respondents is familiar with wild plant uses, however to varying degrees. Knowledge variations depend on the socio-demographic and geographic background of the informants as well as on the domains of knowledge under investigation: women, older informants and homegardeners report more human medicinal applications and applications in drinks than men, younger informants and non-homegardeners; farmers know a greater variety of veterinary medicinal applications than non-farmers; the place of residence relates significantly to food and veterinary uses. Customs are difficult to investigate in standardized matrices. The household-related distribution of work and the general socio-cultural context are especially helpful in order to explain intracultural variation of knowledge in the Grosses Walsertal. Conclusions Research on the intracultural variation of local knowledge exposes cultural characteristics and highlights the cultural embeddedness of local knowledge. The impact of socio-cultural developments on local knowledge may be anticipated from understanding the intracultural variation of knowledge. PMID:22770375

Paediatric patient navigation models of care in Canada: An environmental scan.

PubMed

Luke, Alison; Doucet, Shelley; Azar, Rima

2018-05-01

(1) To provide other organizations with useful information when implementing paediatric navigation programs and (2) to inform the implementation of a navigation care centre in New Brunswick for children with complex health conditions. This environmental scan consisted of a literature review of published and grey literature for paediatric patient navigation programs across Canada. Additional programs were found following discussions with program coordinators and navigators. Interviews were conducted with key staff from each program and included questions related to patient condition; target population and location; method delivery; navigator background; and navigator roles. Data analysis included analysis of interviews and identification of common themes across the different programs. We interviewed staff from 19 paediatric navigation programs across Canada. Programs varied across a number of different themes, including: condition and disease type, program location (e.g., hospital or clinic), navigator background (e.g., registered nurse or peer/lay navigator) and method of delivery (e.g., phone or face-to-face). Overall, navigator roles are similar across all programs, including advocacy, education, support and assistance in accessing resources from both within and outside the health care system. This scan offers a road map of Canadian paediatric navigation programs. Knowledge learned from this scan will inform stakeholders who are either involved in the delivery of paediatric patient navigation programs or planning to implement such a program. Specifically, our scan informed the development of a navigation centre for children with complex health conditions in New Brunswick.

Integrating prior information into microwave tomography part 2: Impact of errors in prior information on microwave tomography image quality.

PubMed

Kurrant, Douglas; Fear, Elise; Baran, Anastasia; LoVetri, Joe

2017-12-01

The authors have developed a method to combine a patient-specific map of tissue structure and average dielectric properties with microwave tomography. The patient-specific map is acquired with radar-based techniques and serves as prior information for microwave tomography. The impact that the degree of structural detail included in this prior information has on image quality was reported in a previous investigation. The aim of the present study is to extend this previous work by identifying and quantifying the impact that errors in the prior information have on image quality, including the reconstruction of internal structures and lesions embedded in fibroglandular tissue. This study also extends the work of others reported in literature by emulating a clinical setting with a set of experiments that incorporate heterogeneity into both the breast interior and glandular region, as well as prior information related to both fat and glandular structures. Patient-specific structural information is acquired using radar-based methods that form a regional map of the breast. Errors are introduced to create a discrepancy in the geometry and electrical properties between the regional map and the model used to generate the data. This permits the impact that errors in the prior information have on image quality to be evaluated. Image quality is quantitatively assessed by measuring the ability of the algorithm to reconstruct both internal structures and lesions embedded in fibroglandular tissue. The study is conducted using both 2D and 3D numerical breast models constructed from MRI scans. The reconstruction results demonstrate robustness of the method relative to errors in the dielectric properties of the background regional map, and to misalignment errors. These errors do not significantly influence the reconstruction accuracy of the underlying structures, or the ability of the algorithm to reconstruct malignant tissue. Although misalignment errors do not significantly impact the quality of the reconstructed fat and glandular structures for the 3D scenarios, the dielectric properties are reconstructed less accurately within the glandular structure for these cases relative to the 2D cases. However, general agreement between the 2D and 3D results was found. A key contribution of this paper is the detailed analysis of the impact of prior information errors on the reconstruction accuracy and ability to detect tumors. The results support the utility of acquiring patient-specific information with radar-based techniques and incorporating this information into MWT. The method is robust to errors in the dielectric properties of the background regional map, and to misalignment errors. Completion of this analysis is an important step toward developing the method into a practical diagnostic tool. © 2017 American Association of Physicists in Medicine.

Background field removal technique based on non-regularized variable kernels sophisticated harmonic artifact reduction for phase data for quantitative susceptibility mapping.

PubMed

Kan, Hirohito; Arai, Nobuyuki; Takizawa, Masahiro; Omori, Kazuyoshi; Kasai, Harumasa; Kunitomo, Hiroshi; Hirose, Yasujiro; Shibamoto, Yuta

2018-06-11

We developed a non-regularized, variable kernel, sophisticated harmonic artifact reduction for phase data (NR-VSHARP) method to accurately estimate local tissue fields without regularization for quantitative susceptibility mapping (QSM). We then used a digital brain phantom to evaluate the accuracy of the NR-VSHARP method, and compared it with the VSHARP and iterative spherical mean value (iSMV) methods through in vivo human brain experiments. Our proposed NR-VSHARP method, which uses variable spherical mean value (SMV) kernels, minimizes L2 norms only within the volume of interest to reduce phase errors and save cortical information without regularization. In a numerical phantom study, relative local field and susceptibility map errors were determined using NR-VSHARP, VSHARP, and iSMV. Additionally, various background field elimination methods were used to image the human brain. In a numerical phantom study, the use of NR-VSHARP considerably reduced the relative local field and susceptibility map errors throughout a digital whole brain phantom, compared with VSHARP and iSMV. In the in vivo experiment, the NR-VSHARP-estimated local field could sufficiently achieve minimal boundary losses and phase error suppression throughout the brain. Moreover, the susceptibility map generated using NR-VSHARP minimized the occurrence of streaking artifacts caused by insufficient background field removal. Our proposed NR-VSHARP method yields minimal boundary losses and highly precise phase data. Our results suggest that this technique may facilitate high-quality QSM. Copyright © 2017. Published by Elsevier Inc.

Detection and correction of laser induced breakdown spectroscopy spectral background based on spline interpolation method

NASA Astrophysics Data System (ADS)

Tan, Bing; Huang, Min; Zhu, Qibing; Guo, Ya; Qin, Jianwei

2017-12-01

Laser-induced breakdown spectroscopy (LIBS) is an analytical technique that has gained increasing attention because of many applications. The production of continuous background in LIBS is inevitable because of factors associated with laser energy, gate width, time delay, and experimental environment. The continuous background significantly influences the analysis of the spectrum. Researchers have proposed several background correction methods, such as polynomial fitting, Lorenz fitting and model-free methods. However, less of them apply these methods in the field of LIBS Technology, particularly in qualitative and quantitative analyses. This study proposes a method based on spline interpolation for detecting and estimating the continuous background spectrum according to its smooth property characteristic. Experiment on the background correction simulation indicated that, the spline interpolation method acquired the largest signal-to-background ratio (SBR) over polynomial fitting, Lorenz fitting and model-free method after background correction. These background correction methods all acquire larger SBR values than that acquired before background correction (The SBR value before background correction is 10.0992, whereas the SBR values after background correction by spline interpolation, polynomial fitting, Lorentz fitting, and model-free methods are 26.9576, 24.6828, 18.9770, and 25.6273 respectively). After adding random noise with different kinds of signal-to-noise ratio to the spectrum, spline interpolation method acquires large SBR value, whereas polynomial fitting and model-free method obtain low SBR values. All of the background correction methods exhibit improved quantitative results of Cu than those acquired before background correction (The linear correlation coefficient value before background correction is 0.9776. Moreover, the linear correlation coefficient values after background correction using spline interpolation, polynomial fitting, Lorentz fitting, and model-free methods are 0.9998, 0.9915, 0.9895, and 0.9940 respectively). The proposed spline interpolation method exhibits better linear correlation and smaller error in the results of the quantitative analysis of Cu compared with polynomial fitting, Lorentz fitting and model-free methods, The simulation and quantitative experimental results show that the spline interpolation method can effectively detect and correct the continuous background.

Speech information retrieval: a review

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hafen, Ryan P.; Henry, Michael J.

Audio is an information-rich component of multimedia. Information can be extracted from audio in a number of different ways, and thus there are several established audio signal analysis research fields. These fields include speech recognition, speaker recognition, audio segmentation and classification, and audio finger-printing. The information that can be extracted from tools and methods developed in these fields can greatly enhance multimedia systems. In this paper, we present the current state of research in each of the major audio analysis fields. The goal is to introduce enough back-ground for someone new in the field to quickly gain high-level understanding andmore » to provide direction for further study.« less

Information-Technology Based Physics Education

NASA Astrophysics Data System (ADS)

Kim, J. S.; Lee, K. H.

2001-04-01

Developing countries emphasize expansion of the educated population but demand for quality improvement follows later. Current science education reform is driven in part by post cold war restructuring of the global economy and associated focus on the education of a more scientifically literate society, due to the industrial change from labor-intensive to high-technology type, and the societal change inherent in the present information era. Industry needs employees of broad and flexible background with inter disciplinary training, engineers with better physics training, and well trained physicists. Education researches have proved that active-learning based methods are superior to the traditional methods and the information technology (IT) has lot to offer in this. Use of IT for improving physics education is briefly discussed with prospects for collaboration in the Asia-Pacific region via Asian Physics Education Network (ASPEN), UNESCO University Foundation Course in Physics (UUFCP), etc.

Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain

NASA Astrophysics Data System (ADS)

Fang, Jinsheng; Bao, Lijun; Li, Xu; van Zijl, Peter C. M.; Chen, Zhong

2017-08-01

Background field removal is an important MR phase preprocessing step for quantitative susceptibility mapping (QSM). It separates the local field induced by tissue magnetic susceptibility sources from the background field generated by sources outside a region of interest, e.g. brain, such as air-tissue interface. In the vicinity of air-tissue boundary, e.g. skull and paranasal sinuses, where large susceptibility variations exist, present background field removal methods are usually insufficient and these regions often need to be excluded by brain mask erosion at the expense of losing information of local field and thus susceptibility measures in these regions. In this paper, we propose an extension to the variable-kernel sophisticated harmonic artifact reduction for phase data (V-SHARP) background field removal method using a region adaptive kernel (R-SHARP), in which a scalable spherical Gaussian kernel (SGK) is employed with its kernel radius and weights adjustable according to an energy "functional" reflecting the magnitude of field variation. Such an energy functional is defined in terms of a contour and two fitting functions incorporating regularization terms, from which a curve evolution model in level set formation is derived for energy minimization. We utilize it to detect regions of with a large field gradient caused by strong susceptibility variation. In such regions, the SGK will have a small radius and high weight at the sphere center in a manner adaptive to the voxel energy of the field perturbation. Using the proposed method, the background field generated from external sources can be effectively removed to get a more accurate estimation of the local field and thus of the QSM dipole inversion to map local tissue susceptibility sources. Numerical simulation, phantom and in vivo human brain data demonstrate improved performance of R-SHARP compared to V-SHARP and RESHARP (regularization enabled SHARP) methods, even when the whole paranasal sinus regions are preserved in the brain mask. Shadow artifacts due to strong susceptibility variations in the derived QSM maps could also be largely eliminated using the R-SHARP method, leading to more accurate QSM reconstruction.

Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain.

PubMed

Fang, Jinsheng; Bao, Lijun; Li, Xu; van Zijl, Peter C M; Chen, Zhong

2017-08-01

Background field removal is an important MR phase preprocessing step for quantitative susceptibility mapping (QSM). It separates the local field induced by tissue magnetic susceptibility sources from the background field generated by sources outside a region of interest, e.g. brain, such as air-tissue interface. In the vicinity of air-tissue boundary, e.g. skull and paranasal sinuses, where large susceptibility variations exist, present background field removal methods are usually insufficient and these regions often need to be excluded by brain mask erosion at the expense of losing information of local field and thus susceptibility measures in these regions. In this paper, we propose an extension to the variable-kernel sophisticated harmonic artifact reduction for phase data (V-SHARP) background field removal method using a region adaptive kernel (R-SHARP), in which a scalable spherical Gaussian kernel (SGK) is employed with its kernel radius and weights adjustable according to an energy "functional" reflecting the magnitude of field variation. Such an energy functional is defined in terms of a contour and two fitting functions incorporating regularization terms, from which a curve evolution model in level set formation is derived for energy minimization. We utilize it to detect regions of with a large field gradient caused by strong susceptibility variation. In such regions, the SGK will have a small radius and high weight at the sphere center in a manner adaptive to the voxel energy of the field perturbation. Using the proposed method, the background field generated from external sources can be effectively removed to get a more accurate estimation of the local field and thus of the QSM dipole inversion to map local tissue susceptibility sources. Numerical simulation, phantom and in vivo human brain data demonstrate improved performance of R-SHARP compared to V-SHARP and RESHARP (regularization enabled SHARP) methods, even when the whole paranasal sinus regions are preserved in the brain mask. Shadow artifacts due to strong susceptibility variations in the derived QSM maps could also be largely eliminated using the R-SHARP method, leading to more accurate QSM reconstruction. Copyright © 2017. Published by Elsevier Inc.

On estimating probability of presence from use-availability or presence-background data.

PubMed

Phillips, Steven J; Elith, Jane

2013-06-01

A fundamental ecological modeling task is to estimate the probability that a species is present in (or uses) a site, conditional on environmental variables. For many species, available data consist of "presence" data (locations where the species [or evidence of it] has been observed), together with "background" data, a random sample of available environmental conditions. Recently published papers disagree on whether probability of presence is identifiable from such presence-background data alone. This paper aims to resolve the disagreement, demonstrating that additional information is required. We defined seven simulated species representing various simple shapes of response to environmental variables (constant, linear, convex, unimodal, S-shaped) and ran five logistic model-fitting methods using 1000 presence samples and 10 000 background samples; the simulations were repeated 100 times. The experiment revealed a stark contrast between two groups of methods: those based on a strong assumption that species' true probability of presence exactly matches a given parametric form had highly variable predictions and much larger RMS error than methods that take population prevalence (the fraction of sites in which the species is present) as an additional parameter. For six species, the former group grossly under- or overestimated probability of presence. The cause was not model structure or choice of link function, because all methods were logistic with linear and, where necessary, quadratic terms. Rather, the experiment demonstrates that an estimate of prevalence is not just helpful, but is necessary (except in special cases) for identifying probability of presence. We therefore advise against use of methods that rely on the strong assumption, due to Lele and Keim (recently advocated by Royle et al.) and Lancaster and Imbens. The methods are fragile, and their strong assumption is unlikely to be true in practice. We emphasize, however, that we are not arguing against standard statistical methods such as logistic regression, generalized linear models, and so forth, none of which requires the strong assumption. If probability of presence is required for a given application, there is no panacea for lack of data. Presence-background data must be augmented with an additional datum, e.g., species' prevalence, to reliably estimate absolute (rather than relative) probability of presence.

A flexible statistical model for alignment of label-free proteomics data – incorporating ion mobility and product ion information

PubMed Central

2013-01-01

Background The goal of many proteomics experiments is to determine the abundance of proteins in biological samples, and the variation thereof in various physiological conditions. High-throughput quantitative proteomics, specifically label-free LC-MS/MS, allows rapid measurement of thousands of proteins, enabling large-scale studies of various biological systems. Prior to analyzing these information-rich datasets, raw data must undergo several computational processing steps. We present a method to address one of the essential steps in proteomics data processing - the matching of peptide measurements across samples. Results We describe a novel method for label-free proteomics data alignment with the ability to incorporate previously unused aspects of the data, particularly ion mobility drift times and product ion information. We compare the results of our alignment method to PEPPeR and OpenMS, and compare alignment accuracy achieved by different versions of our method utilizing various data characteristics. Our method results in increased match recall rates and similar or improved mismatch rates compared to PEPPeR and OpenMS feature-based alignment. We also show that the inclusion of drift time and product ion information results in higher recall rates and more confident matches, without increases in error rates. Conclusions Based on the results presented here, we argue that the incorporation of ion mobility drift time and product ion information are worthy pursuits. Alignment methods should be flexible enough to utilize all available data, particularly with recent advancements in experimental separation methods. PMID:24341404

Best methods for evaluating educational impact: a comparison of the efficacy of commonly used measures of library instruction

PubMed Central

Schilling, Katherine; Applegate, Rachel

2012-01-01

Objectives and Background: Libraries are increasingly called upon to demonstrate student learning outcomes and the tangible benefits of library educational programs. This study reviewed and compared the efficacy of traditionally used measures for assessing library instruction, examining the benefits and drawbacks of assessment measures and exploring the extent to which knowledge, attitudes, and behaviors actually paralleled demonstrated skill levels. Methods: An overview of recent literature on the evaluation of information literacy education addressed these questions: (1) What evaluation measures are commonly used for evaluating library instruction? (2) What are the pros and cons of popular evaluation measures? (3) What are the relationships between measures of skills versus measures of attitudes and behavior? Research outcomes were used to identify relationships between measures of attitudes, behaviors, and skills, which are typically gathered via attitudinal surveys, written skills tests, or graded exercises. Results and Conclusions: Results provide useful information about the efficacy of instructional evaluation methods, including showing significant disparities between attitudes, skills, and information usage behaviors. This information can be used by librarians to implement the most appropriate evaluation methods for measuring important variables that accurately demonstrate students' attitudes, behaviors, or skills. PMID:23133325

Methods for Analyzing the Benefits and Costs of Distributed Photovoltaic Generation to the U.S. Electric Utility System

DOE Office of Scientific and Technical Information (OSTI.GOV)

Denholm, P.; Margolis, R.; Palmintier, B.

This report outlines the methods, data, and tools that could be used at different levels of sophistication and effort to estimate the benefits and costs of DGPV. In so doing, we identify the gaps in current benefit-cost-analysis methods, which we hope will inform the ongoing research agenda in this area. The focus of this report is primarily on benefits and costs from the utility or electricity generation system perspective. It is intended to provide useful background information to utility and regulatory decision makers and their staff, who are often being asked to use or evaluate estimates of the benefits andmore » cost of DGPV in regulatory proceedings. Understanding the technical rigor of the range of methods and how they might need to evolve as DGPV becomes a more significant contributor of energy to the electricity system will help them be better consumers of this type of information. This report is also intended to provide information to utilities, policy makers, PV technology developers, and other stakeholders, which might help them maximize the benefits and minimize the costs of integrating DGPV into a changing electricity system.« less

User perception and interpretation of tornado probabilistic hazard information: Comparison of four graphical designs.

PubMed

Miran, Seyed M; Ling, Chen; James, Joseph J; Gerard, Alan; Rothfusz, Lans

2017-11-01

Effective design for presenting severe weather information is important to reduce devastating consequences of severe weather. The Probabilistic Hazard Information (PHI) system for severe weather is being developed by NOAA National Severe Storms Laboratory (NSSL) to communicate probabilistic hazardous weather information. This study investigates the effects of four PHI graphical designs for tornado threat, namely, "four-color"," red-scale", "grayscale" and "contour", on users' perception, interpretation, and reaction to threat information. PHI is presented on either a map background or a radar background. Analysis showed that the accuracy was significantly higher and response time faster when PHI was displayed on map background as compared to radar background due to better contrast. When displayed on a radar background, "grayscale" design resulted in a higher accuracy of responses. Possibly due to familiarity, participants reported four-color design as their favorite design, which also resulted in the fastest recognition of probability levels on both backgrounds. Our study shows the importance of using intuitive color-coding and sufficient contrast in conveying probabilistic threat information via graphical design. We also found that users follows a rational perceiving-judging-feeling-and acting approach in processing probabilistic hazard information for tornado. Copyright © 2017 Elsevier Ltd. All rights reserved.

Comprehensible Presentation of Topological Information

DOE Office of Scientific and Technical Information (OSTI.GOV)

Weber, Gunther H.; Beketayev, Kenes; Bremer, Peer-Timo

2012-03-05

Topological information has proven very valuable in the analysis of scientific data. An important challenge that remains is presenting this highly abstract information in a way that it is comprehensible even if one does not have an in-depth background in topology. Furthermore, it is often desirable to combine the structural insight gained by topological analysis with complementary information, such as geometric information. We present an overview over methods that use metaphors to make topological information more accessible to non-expert users, and we demonstrate their applicability to a range of scientific data sets. With the increasingly complex output of exascale simulations,more » the importance of having effective means of providing a comprehensible, abstract overview over data will grow. The techniques that we present will serve as an important foundation for this purpose.« less

29 CFR Appendix A to §§ 1605.2 and... - Background Information

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 4 2010-07-01 2010-07-01 false Background Information A Appendix A to §§ 1605.2 and 1605... §§ 1605.2 and 1605.3—Background Information In 1966, the Commission adopted guidelines on religious... of Trans World Airlines' business, and would therefore, exceed the duty to accommodate Hardison. In...

29 CFR Appendix A to §§ 1605.2 and... - Background Information

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 4 2011-07-01 2011-07-01 false Background Information A Appendix A to §§ 1605.2 and 1605... §§ 1605.2 and 1605.3—Background Information In 1966, the Commission adopted guidelines on religious... of Trans World Airlines' business, and would therefore, exceed the duty to accommodate Hardison. In...

Anomaly clustering in hyperspectral images

NASA Astrophysics Data System (ADS)

Doster, Timothy J.; Ross, David S.; Messinger, David W.; Basener, William F.

2009-05-01

The topological anomaly detection algorithm (TAD) differs from other anomaly detection algorithms in that it uses a topological/graph-theoretic model for the image background instead of modeling the image with a Gaussian normal distribution. In the construction of the model, TAD produces a hard threshold separating anomalous pixels from background in the image. We build on this feature of TAD by extending the algorithm so that it gives a measure of the number of anomalous objects, rather than the number of anomalous pixels, in a hyperspectral image. This is done by identifying, and integrating, clusters of anomalous pixels via a graph theoretical method combining spatial and spectral information. The method is applied to a cluttered HyMap image and combines small groups of pixels containing like materials, such as those corresponding to rooftops and cars, into individual clusters. This improves visualization and interpretation of objects.

Extracting laboratory test information from biomedical text

PubMed Central

Kang, Yanna Shen; Kayaalp, Mehmet

2013-01-01

Background: No previous study reported the efficacy of current natural language processing (NLP) methods for extracting laboratory test information from narrative documents. This study investigates the pathology informatics question of how accurately such information can be extracted from text with the current tools and techniques, especially machine learning and symbolic NLP methods. The study data came from a text corpus maintained by the U.S. Food and Drug Administration, containing a rich set of information on laboratory tests and test devices. Methods: The authors developed a symbolic information extraction (SIE) system to extract device and test specific information about four types of laboratory test entities: Specimens, analytes, units of measures and detection limits. They compared the performance of SIE and three prominent machine learning based NLP systems, LingPipe, GATE and BANNER, each implementing a distinct supervised machine learning method, hidden Markov models, support vector machines and conditional random fields, respectively. Results: Machine learning systems recognized laboratory test entities with moderately high recall, but low precision rates. Their recall rates were relatively higher when the number of distinct entity values (e.g., the spectrum of specimens) was very limited or when lexical morphology of the entity was distinctive (as in units of measures), yet SIE outperformed them with statistically significant margins on extracting specimen, analyte and detection limit information in both precision and F-measure. Its high recall performance was statistically significant on analyte information extraction. Conclusions: Despite its shortcomings against machine learning methods, a well-tailored symbolic system may better discern relevancy among a pile of information of the same type and may outperform a machine learning system by tapping into lexically non-local contextual information such as the document structure. PMID:24083058

206: TRACKING THE PATIENT'S RIGHT TO INFORMATION IN IRANIAN PATIENT RIGHT CHARTER FROM THE MEDICAL INFORMATION SCIENCE PERSPECTIVE: A QUALITATIVE STUDY

PubMed Central

Samadi, Soraya; Gavgani, Vahideh Zarea

2017-01-01

Background and aims From the information science perspective making the right information accessible to patients ensures the healthcare promotion and empowers the patient to contribute and involve in his/her healthcare decision making and change. This study aimed at analyzing and visualizing the Iran's Patients Right Charter from the Medical Library and Information Sciences' viewpoints. Methods A mix method of qualitative and quantitative was used to push the study. Content Analyzing and Descriptive method were used to analyze and describe data. It was also benefited the documentary methods to review the related literature in citation databases and gray literatures. And descriptive analysis also was hired to show the share of each concept in total knowledge depiction of Patient's Right to Information. The Iranian patient right charters were reviewed to trace the concept of information/right to information in every Para and articles. The Library Congress Subject Heading (LCHS) was used to extract the equivalent/parallel concepts related to ontology of information in the concept of health and medicine as well as law. All the LCSH based terms were then converted to main categories and subcategories. Patient right charters were reviewed with the LCSH based categories to reveal does the patient right charter include the right to information parameters, and which concepts, Para or articles is supporting right to information? Conclusion Access to the right information at the right time is advocated by ethical and legal issues of clinical governance through the patients' rights. But to execute the patient's rights to information in practice it is essential to create clinical guidelines and to develop rules for information therapy service in Iran.

Participatory design of an integrated information system design to support public health nurses and nurse managers.

PubMed

Reeder, Blaine; Hills, Rebecca A; Turner, Anne M; Demiris, George

2014-01-01

The objectives of the study were to use persona-driven and scenario-based design methods to create a conceptual information system design to support public health nursing. We enrolled 19 participants from two local health departments to conduct an information needs assessment, create a conceptual design, and conduct a preliminary design validation. Interviews and thematic analysis were used to characterize information needs and solicit design recommendations from participants. Personas were constructed from participant background information, and scenario-based design was used to create a conceptual information system design. Two focus groups were conducted as a first iteration validation of information needs, personas, and scenarios. Eighty-nine information needs were identified. Two personas and 89 scenarios were created. Public health nurses and nurse managers confirmed the accuracy of information needs, personas, scenarios, and the perceived usefulness of proposed features of the conceptual design. Design artifacts were modified based on focus group results. Persona-driven design and scenario-based design are feasible methods to design for common work activities in different local health departments. Public health nurses and nurse managers should be engaged in the design of systems that support their work. © 2013 Wiley Periodicals, Inc.

Participatory Design of an Integrated Information System Design to Support Public Health Nurses and Nurse Managers

PubMed Central

Reeder, Blaine; Hills, Rebecca A.; Turner, Anne M.; Demiris, George

2014-01-01

Objectives The objectives of the study were to use persona-driven and scenario-based design methods to create a conceptual information system design to support public health nursing. Design and Sample We enrolled 19 participants from two local health departments to conduct an information needs assessment, create a conceptual design, and conduct a preliminary design validation. Measures Interviews and thematic analysis were used to characterize information needs and solicit design recommendations from participants. Personas were constructed from participant background information, and scenario-based design was used to create a conceptual information system design. Two focus groups were conducted as a first iteration validation of information needs, personas, and scenarios. Results Eighty-nine information needs were identified. Two personas and 89 scenarios were created. Public health nurses and nurse managers confirmed the accuracy of information needs, personas, scenarios, and the perceived usefulness of proposed features of the conceptual design. Design artifacts were modified based on focus group results. Conclusion Persona-driven design and scenario-based design are feasible methods to design for common work activities in different local health departments. Public health nurses and nurse managers should be engaged in the design of systems that support their work. PMID:24117760

Designing a Medical Tourism Website: A Qualitative Study

PubMed Central

SAMADBEIK, Mahnaz; ASADI, Heshmatollah; MOHSENI, Mohammad; TAKBIRI, Afsaneh; MOOSAVI, Ahmad; GARAVAND, Ali

2017-01-01

Background: Informing plays a prominent role in attracting medical tourists. The enjoyment of proper medical information systems is one of the most important tools for the attraction of medical tourists. Iran’s ability in designing and implementing information networks has remained largely unknown. The current study aimed to explore information needs for designing a medical tourism website. Methods: This qualitative study was conducted in 2015 for designing Hospital Medical-Tourism Website (HMTW). A purposive sampling method was used and data were gathered using a semi-structured questionnaire. Totally, 12 faculty members and experts in the field of medical tourism were interviewed. Data were analyzed using the MAXQDA10 software. Results: Totally 41 sub-themes and 10 themes were identified. The themes included the introduction of hospital, general guide for patients, tourism information, information related to physicians in hospital, costs, treatment follow-up, online hospital appointment scheduling in website, statistics and news of hospital medical tourism, photo gallery and contacts. Among the themes, the participants highly emphasized four themes including costs (100%), tourism information (91.6%), information related to physicians in hospital, (83.3%) and treatment follow-up (83.3%). Conclusion: This profitable industry can be developed through considering information requirements for hospital medical tourism website. PMID:28451562

The (in)stability of 21st century orthopedic patient contact information and its implications on clinical research: a cross-sectional study

PubMed Central

London, Daniel A; Stepan, Jeffrey G; Goldfarb, Charles A; Boyer, Martin I; Calfee, Ryan P

2016-01-01

Background In clinical research, minimizing patients lost to follow-up is essential for data validity. Researchers can employ better methodology to prevent patient loss. We examined how orthopedic surgery patients’ contact information changes over time to optimize data collection for long-term outcomes research. Methods Patients presenting to orthopedic outpatient clinics completed questionnaires regarding methods of contact: home phone, cell phone, mailing address, and e-mail address. They reported currently available methods of contact, if they changed in the past five and ten years, and when they changed. Differences in the rates of change amongst methods were assessed via Fisher exact tests. Whether participants changed any of their contact information in the past five and ten years was determined via multivariate modeling, controlling for demographic variables. Results Among 152 patients, 51% changed at least one form of contact information within 5 years, and 66% changed at least one form within 10 years. The rate of change for each contact method was similar over five (15-28%) and ten years (26-41%). One patient changed all 4 methods of contact within the past five years, and seven within the past ten years. Females and younger patients were more likely to change some type of contact information. Conclusions The type of contact information least likely to change over five to ten years is influenced by demographic factors such as sex and age, with females and younger participants more likely to change some aspect of their contact information. Collecting all contact methods appears necessary to minimize patients lost to follow-up, especially as technological norms evolve. PMID:28359191

Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data.

PubMed

Parks, David R; El Khettabi, Faysal; Chase, Eric; Hoffman, Robert A; Perfetto, Stephen P; Spidlen, Josef; Wood, James C S; Moore, Wayne A; Brinkman, Ryan R

2017-03-01

We developed a fully automated procedure for analyzing data from LED pulses and multilevel bead sets to evaluate backgrounds and photoelectron scales of cytometer fluorescence channels. The method improves on previous formulations by fitting a full quadratic model with appropriate weighting and by providing standard errors and peak residuals as well as the fitted parameters themselves. Here we describe the details of the methods and procedures involved and present a set of illustrations and test cases that demonstrate the consistency and reliability of the results. The automated analysis and fitting procedure is generally quite successful in providing good estimates of the Spe (statistical photoelectron) scales and backgrounds for all the fluorescence channels on instruments with good linearity. The precision of the results obtained from LED data is almost always better than that from multilevel bead data, but the bead procedure is easy to carry out and provides results good enough for most purposes. Including standard errors on the fitted parameters is important for understanding the uncertainty in the values of interest. The weighted residuals give information about how well the data fits the model, and particularly high residuals indicate bad data points. Known photoelectron scales and measurement channel backgrounds make it possible to estimate the precision of measurements at different signal levels and the effects of compensated spectral overlap on measurement quality. Combining this information with measurements of standard samples carrying dyes of biological interest, we can make accurate comparisons of dye sensitivity among different instruments. Our method is freely available through the R/Bioconductor package flowQB. © 2017 International Society for Advancement of Cytometry. © 2017 International Society for Advancement of Cytometry.

76 FR 34639 - Notice of Proposed Additional Information Collection: Advisory Committee and Research and...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-14

... and Research and Promotion Background Information AGENCY: Office of the Secretary, USDA. ACTION... and Promotion Background Information to include Race, Ethnicity, National Origin, Gender and...: [email protected] . SUPPLEMENTARY INFORMATION: Title: Advisory Committee and Research and Promotion...

Methodological Issues in Trials of Complementary and Alternative Medicine Interventions

PubMed Central

Sikorskii, Alla; Wyatt, Gwen; Victorson, David; Faulkner, Gwen; Rahbar, Mohammad Hossein

2010-01-01

Background Complementary and alternative medicine (CAM) use is widespread among cancer patients. Information on safety and efficacy of CAM therapies is needed for both patients and health care providers. Well-designed randomized clinical trials (RCTs) of CAM therapy interventions can inform both clinical research and practice. Objectives To review important issues that affect the design of RCTs for CAM interventions. Methods Using the methods component of the Consolidated Standards for Reporting Trials (CONSORT) as a guiding framework, and a National Cancer Institute-funded reflexology study as an exemplar, methodological issues related to participants, intervention, objectives, outcomes, sample size, randomization, blinding, and statistical methods were reviewed. Discussion Trials of CAM interventions designed and implemented according to appropriate methodological standards will facilitate the needed scientific rigor in CAM research. Interventions in CAM can be tested using proposed methodology, and the results of testing will inform nursing practice in providing safe and effective supportive care and improving the well-being of patients. PMID:19918155

Toolboxes for a standardised and systematic study of glycans

PubMed Central

2014-01-01

Background Recent progress in method development for characterising the branched structures of complex carbohydrates has now enabled higher throughput technology. Automation of structure analysis then calls for software development since adding meaning to large data collections in reasonable time requires corresponding bioinformatics methods and tools. Current glycobioinformatics resources do cover information on the structure and function of glycans, their interaction with proteins or their enzymatic synthesis. However, this information is partial, scattered and often difficult to find to for non-glycobiologists. Methods Following our diagnosis of the causes of the slow development of glycobioinformatics, we review the "objective" difficulties encountered in defining adequate formats for representing complex entities and developing efficient analysis software. Results Various solutions already implemented and strategies defined to bridge glycobiology with different fields and integrate the heterogeneous glyco-related information are presented. Conclusions Despite the initial stage of our integrative efforts, this paper highlights the rapid expansion of glycomics, the validity of existing resources and the bright future of glycobioinformatics. PMID:24564482

Application research for 4D technology in flood forecasting and evaluation

NASA Astrophysics Data System (ADS)

Li, Ziwei; Liu, Yutong; Cao, Hongjie

1998-08-01

In order to monitor the region which disaster flood happened frequently in China, satisfy the great need of province governments for high accuracy monitoring and evaluated data for disaster and improve the efficiency for repelling disaster, under the Ninth Five-year National Key Technologies Programme, the method was researched for flood forecasting and evaluation using satellite and aerial remoted sensed image and land monitor data. The effective and practicable flood forecasting and evaluation system was established and DongTing Lake was selected as the test site. Modern Digital photogrammetry, remote sensing and GIS technology was used in this system, the disastrous flood could be forecasted and loss can be evaluated base on '4D' (DEM -- Digital Elevation Model, DOQ -- Digital OrthophotoQuads, DRG -- Digital Raster Graph, DTI -- Digital Thematic Information) disaster background database. The technology of gathering and establishing method for '4D' disaster environment background database, application technology for flood forecasting and evaluation based on '4D' background data and experimental results for DongTing Lake test site were introduced in detail in this paper.

Text Content Pushing Technology Research Based on Location and Topic

NASA Astrophysics Data System (ADS)

Wei, Dongqi; Wei, Jianxin; Wumuti, Naheman; Jiang, Baode

2016-11-01

In the field, geological workers usually want to obtain related geological background information in the working area quickly and accurately. This information exists in the massive geological data, text data is described in natural language accounted for a large proportion. This paper studied location information extracting method in the mass text data; proposed a geographic location—geological content—geological content related algorithm based on Spark and Mapreduce2, finally classified content by using KNN, and built the content pushing system based on location and topic. It is running in the geological survey cloud, and we have gained a good effect in testing by using real geological data.

Cell nuclei segmentation in fluorescence microscopy images using inter- and intra-region discriminative information.

PubMed

Song, Yang; Cai, Weidong; Feng, David Dagan; Chen, Mei

2013-01-01

Automated segmentation of cell nuclei in microscopic images is critical to high throughput analysis of the ever increasing amount of data. Although cell nuclei are generally visually distinguishable for human, automated segmentation faces challenges when there is significant intensity inhomogeneity among cell nuclei or in the background. In this paper, we propose an effective method for automated cell nucleus segmentation using a three-step approach. It first obtains an initial segmentation by extracting salient regions in the image, then reduces false positives using inter-region feature discrimination, and finally refines the boundary of the cell nuclei using intra-region contrast information. This method has been evaluated on two publicly available datasets of fluorescence microscopic images with 4009 cells, and has achieved superior performance compared to popular state of the art methods using established metrics.

76 FR 30405 - Information Collection Request Under OMB Review

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-25

..., the National Agency Check (NAC) Questionnaire for Peace Corps Volunteer Background Investigation (OMB... INFORMATION: The NAC Questionnaire for Peace Corps Volunteer Background Investigation Form is used to conduct... Volunteer Background Investigation. Type of Review: Reinstatement, without change, of a previously approved...

76 FR 69287 - National Instant Criminal Background Check System Section Agency Information Collection...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-11-08

... System Section Agency Information Collection Activities: Existing collection, comments requested the Voluntary Appeal File (VAF) Brochure ACTION: 60-Day Notice of Information Collection Under Review. The... Criminal Background Check System (NICS) Section has submitted the following information collection request...

Evaluation of Brief Group-Administered Instruction for Parents to Prevent or Minimize Sleep Problems in Young Children with Down Syndrome

ERIC Educational Resources Information Center

Stores, Rebecca; Stores, Gregory

2004-01-01

Background: The study concerns the unknown value of group instruction for mothers of young children with Down syndrome (DS) in preventing or minimizing sleep problems. Method: (1) Children with DS were randomly allocated to an Instruction group (given basic information about children's sleep) and a Control group for later comparison including…

A Structured, Interactive Method for Youth Participation in a School District-University Partnership to Prevent Obesity

ERIC Educational Resources Information Center

Meininger, Janet C.; Reyes, Lisa R.; Selwyn, Beatrice J.; Upchurch, Sandra L.; Brosnan, Christine A.; Taylor, Wendell C.; Villagomez, Evangelina; Quintana, Vianey; Pullis, Bridgette; Caudill, Denise; Sterchy, Sharon; Phillips, Melinda

2010-01-01

Background: The involvement of school-age children in participatory research is described in the context of a school district-university partnership to prevent obesity in children. The purpose of this study was to elicit, from children in kindergarten (K) through sixth grade, perceptions of foods and activities that would inform the design of…

Solar Physics and Terrestrial Effects: A Curriculum Guide for Teachers Grades 7-12, 2nd Edition.

ERIC Educational Resources Information Center

Briggs, Roger P.; Carlisle, Robert J.

This curriculum guide includes a brief textbook, a hands-on activity guide, and resource listings. The textbook provides background information in solar physics for teachers and contains problems suitable for advanced students at the end of each chapter. Topics covered in the textbook include stellar evolution, the structure of the sun, methods of…

A Follow-Up Study of Mortality, Health Conditions and Associated Disabilities of People with Intellectual Disabilities in a Swedish County

ERIC Educational Resources Information Center

Gustavson, K.-H.; Umb-Carlsson, O.; Sonnander, K.

2005-01-01

Background: In the planning of services and health care for individuals with intellectual disability (ID), information is needed on the special requirements for habilitation and medical service and associated disabilities. Material and Methods: An unselected consecutive series of 82 adult persons with ID was studied. The medical examination…

Policy, Service Pathways and Mortality: A 10-Year Longitudinal Study of People with Profound Intellectual and Multiple Disabilities

ERIC Educational Resources Information Center

Hogg, James; Juhlberg, K.; Lambe, L.

2007-01-01

Background: One hundred and forty-two children and adults with profound intellectual and multiple disabilities were identified in 1993 in a single Scottish region on whom detailed information was collected via a postal questionnaire survey. Methods: They were followed up in 2003. The time spanned represented a period of significant policy change…

42 CFR 83.0 - Background information on the procedures in this part.

Code of Federal Regulations, 2010 CFR

2010-10-01

... subcontractors. Among the types of illnesses for which compensation may be provided are cancers. There are two methods set forth in the statute for claimants to establish that a cancer incurred by a covered worker is compensable under EEOICPA. The first is to establish that the cancer is at least as likely as not related to...

A Feasibility Study into the Measurement of Physical Activity Levels of Adults with Intellectual Disabilities Using Accelerometers and the International Physical Activity Questionnaire

ERIC Educational Resources Information Center

Dairo, Yetunde M.; Collett, Johnny; Dawes, Helen

2017-01-01

Background: Few studies have measured physical activity (PA) levels of adults with intellectual disabilities using both objective and subjective methods, but none included individuals with profound intellectual disabilities. To inform effective measurement of PA across the disability spectrum, this study explored: the feasibility of measuring PA…

Use of Syllabic Logograms to Help Dyslexic Readers of English Visualize Abstract Words as Pictures

ERIC Educational Resources Information Center

Saez-Rodriguez, Alberto

2009-01-01

Background: Dyslexics read concrete words better than abstract ones. As a result, one of the major problems facing dyslexics is the fact that only part of the information that they require to communicate is concrete, i.e. can easily be pictured. Method: The experiment involved dyslexic third-grade, English-speaking children (8-year-olds) divided…

Evidence Acquisition and Evaluation for a U.S. Government Evidence Summit on Protecting Children outside Family Care

ERIC Educational Resources Information Center

Higgs, Elizabeth S.; Zlidar, Vera M.; Balster, Robert L.

2012-01-01

Recognizing the need for evidence to inform policies, strategies, and programs to care for vulnerable children, the U.S. Government convened an Evidence Summit on Protecting Children Outside of Family Care on December 12-13, 2011, in Washington, DC, USA. This paper summarizes the background and methods for the acquisition and evaluation of the…

Counting migrants to monitor bird populations: state of the art

Treesearch

Erica H. Dunn

2005-01-01

The aim of this paper is to summarize background information on what migration monitoring is, what biases are present and how they can be addressed, evidence that resulting trends are biologically meaningful, and what the benefits and limitations of the method are. Some topics have been covered elsewhere in greater detail (Dunn and Hussell 1995, Dunn et al. 1997,...

42 CFR 83.0 - Background information on the procedures in this part.

Code of Federal Regulations, 2011 CFR

2011-10-01

... subcontractors. Among the types of illnesses for which compensation may be provided are cancers. There are two methods set forth in the statute for claimants to establish that a cancer incurred by a covered worker is compensable under EEOICPA. The first is to establish that the cancer is at least as likely as not related to...

Prevalence of Escherichia coli O157:H7 in beef cattle at slaughter and beef carcasses at retail shops in Ethiopia

USDA-ARS?s Scientific Manuscript database

Background: There is paucity of information regarding the epidemiology of Escherichia coli O157: H7 in developing countries. In this study, we investigated the occurrence of E. coli O157: H7 associated with beef cattle at processing plants and at retail shops in Ethiopia. Methods: Various samples we...

Child, Parent and Family Factors as Predictors of Adjustment for Siblings of Children with a Disability

ERIC Educational Resources Information Center

Giallo, R.; Gavidia-Payne, S.

2006-01-01

Background: Siblings adjust to having a brother or sister with a disability in diverse ways. This study investigated a range of child, parent and family factors as predictors of sibling adjustment outcomes. Methods: Forty-nine siblings (aged 7-16 years) and parents provided information about (1) sibling daily hassles and uplifts; (2) sibling…

Long-Term Outcome from a Medium Secure Service for People with Intellectual Disability

ERIC Educational Resources Information Center

Alexander, R. T.; Crouch, K.; Halstead, S.; Piachaud, J.

2006-01-01

Background: The purpose of this paper is to describe long-term outcomes for patients discharged over a 12-year period from a medium secure service for people with intellectual disabilities (ID). Methods: A cohort study using case-notes analysis and a structured interview of current key informants. Results: Eleven per cent of the sample was…

Cooperative Learning in the Secondary School: Maximizing Language Acquisition, Academic Achievement, and Social Development. NCBE Program Information Guide Series 12.

ERIC Educational Resources Information Center

Holt, Daniel D.; And Others

Cooperative learning is a valuable strategy for teaching secondary school students, especially useful with students from diverse linguistic and cultural backgrounds who are learning English as a Second Language. It offers a method for managing diversity, channeling peer influence into a positive force for improving school performance, and…

Cognitive and Metacognitive Learning Strategy Instruction: Its Relevance for Media and Material Design. The Instructional Methods Report Series.

ERIC Educational Resources Information Center

Scheid, Karen

This report is intended to provide publishers and product developers with a summary of background information about strategy instruction for disabled learners. It also offers suggestions for how media and materials could be produced and designed to facilitate the teaching and learning of strategies. The first section looks at cognitive and…

Measuring the Actual Levels and Patterns of Physical Activity/Inactivity of Adults with Intellectual Disabilities

ERIC Educational Resources Information Center

Finlayson, Janet; Turner, Angela; Granat, Malcolm H.

2011-01-01

Background: Lack of regular physical activity is a significant risk to health. The aim of this study was to objectively measure the levels and patterns of activity of adults with intellectual disabilities, to inform the design of studies aimed at increasing activity and health in this population. Materials and Methods: Interviews were conducted…

Effectively Communicating Colorectal Cancer Screening Information to Primary Care Providers: Application for State, Tribe or Territory Comprehensive Cancer Control Coalitions

ERIC Educational Resources Information Center

Redmond, Jennifer; Vanderpool, Robin; McClung, Rebecca

2012-01-01

Background: Patients are more likely to be screened for colorectal cancer if it is recommended by a health care provider. Therefore, it is imperative that providers have access to the latest screening guidelines. Purpose: This practice-based project sought to identify Kentucky primary care providers' preferred sources and methods of receiving…

Cluster Randomized-Controlled Trial of Interventions to Improve Health for Adults with Intellectual Disability Who Live in Private Dwellings

ERIC Educational Resources Information Center

Lennox, Nicholas; Bain, Chris; Rey-Conde, Therese; Taylor, Miriam; Boyle, Frances M.; Purdie, David M.; Ware, Robert S.

2010-01-01

Background: People with intellectual disability who live in the community often have poor health and healthcare, partly as a consequence of poor communication, recall difficulties and incomplete patient health information. Materials and Methods: A cluster randomized-controlled trial with 2 x 2 factorial design was conducted with adults with…

A School-Level Proxy Measure for Individual-level Poverty Using School-Level Eligibility for Free and Reduced-Price Meals

ERIC Educational Resources Information Center

Day, Sophia E.; Hinterland, Kinjia; Myers, Christa; Gupta, Leena; Harris, Tiffany G.; Konty, Kevin J.

2016-01-01

Background: Socioeconomic status (SES) impacts health outcomes. The Youth Risk Behavior Survey (YRBS), like many school-based data sources, lacks individual-level poverty information. We propose using school-level percentages of student eligibility for free/reduced-price meals (%FRPM) as a proxy for individual-level poverty. Methods: Using the New…

The General Picture of Supportive Health Environments for Persons with Intellectual Disabilities among 121 Disability Welfare Institutions in Taiwan

ERIC Educational Resources Information Center

Lin, J.-D.; Yen, C.-F.; Loh, C.-H.; Chwo, M.-J.; Lee, J.-T.; Wu, J.-L.; Chu, C. M.; Tang, C.-C.

2006-01-01

Background: Little information is available on the provision of supportive health environments for persons with intellectual disabilities (ID) in institutions. The aim of this study was to present an overview of supportive environments for health in institutions in Taiwan. Methods: A cross-sectional survey was conducted to examine the perceptions…

42 CFR 83.0 - Background information on the procedures in this part.

Code of Federal Regulations, 2012 CFR

2012-10-01

... subcontractors. Among the types of illnesses for which compensation may be provided are cancers. There are two methods set forth in the statute for claimants to establish that a cancer incurred by a covered worker is compensable under EEOICPA. The first is to establish that the cancer is at least as likely as not related to...

42 CFR 83.0 - Background information on the procedures in this part.

Code of Federal Regulations, 2013 CFR

2013-10-01

... subcontractors. Among the types of illnesses for which compensation may be provided are cancers. There are two methods set forth in the statute for claimants to establish that a cancer incurred by a covered worker is compensable under EEOICPA. The first is to establish that the cancer is at least as likely as not related to...

42 CFR 83.0 - Background information on the procedures in this part.

Code of Federal Regulations, 2014 CFR

2014-10-01

... subcontractors. Among the types of illnesses for which compensation may be provided are cancers. There are two methods set forth in the statute for claimants to establish that a cancer incurred by a covered worker is compensable under EEOICPA. The first is to establish that the cancer is at least as likely as not related to...

Development and Evaluation of the Arabic Filial Piety Scale

ERIC Educational Resources Information Center

Khalaila, Rabia

2010-01-01

Objective: To examine the validity and reliability of a new Arabic Filial Piety scale (AFPS) for use with informal Arab caregivers. Background: Filial piety, a term used to describe a set of family values in relation to parental care. This is the first measure of this construct for use with Arab populations in Israel. Method: A random sample of…

Do Service Users with Intellectual Disabilities Want to Be Involved in the Risk Management Process? A Thematic Analysis

ERIC Educational Resources Information Center

Kilcommons, Aoiffe M.; Withers, Paul; Moreno-Lopez, Agueda

2012-01-01

Background: Involving ID service users in risk decision making necessitates consideration of an individual's ability to assess the implications and associated risks and thus make an informed choice. This calls for research on service users' awareness and understanding of risk management (RM). Method: Thirteen people in a residential ID service who…

Reconstruction of hyperspectral image using matting model for classification

NASA Astrophysics Data System (ADS)

Xie, Weiying; Li, Yunsong; Ge, Chiru

2016-05-01

Although hyperspectral images (HSIs) captured by satellites provide much information in spectral regions, some bands are redundant or have large amounts of noise, which are not suitable for image analysis. To address this problem, we introduce a method for reconstructing the HSI with noise reduction and contrast enhancement using a matting model for the first time. The matting model refers to each spectral band of an HSI that can be decomposed into three components, i.e., alpha channel, spectral foreground, and spectral background. First, one spectral band of an HSI with more refined information than most other bands is selected, and is referred to as an alpha channel of the HSI to estimate the hyperspectral foreground and hyperspectral background. Finally, a combination operation is applied to reconstruct the HSI. In addition, the support vector machine (SVM) classifier and three sparsity-based classifiers, i.e., orthogonal matching pursuit (OMP), simultaneous OMP, and OMP based on first-order neighborhood system weighted classifiers, are utilized on the reconstructed HSI and the original HSI to verify the effectiveness of the proposed method. Specifically, using the reconstructed HSI, the average accuracy of the SVM classifier can be improved by as much as 19%.

Surgical correction of pectus arcuatum

PubMed Central

Ershova, Ksenia; Adamyan, Ruben

2016-01-01

Background Pectus arcuatum is a rear congenital chest wall deformity and methods of surgical correction are debatable. Methods Surgical correction of pectus arcuatum always includes one or more horizontal sternal osteotomies, resection of deformed rib cartilages and finally anterior chest wall stabilization. The study is approved by the institutional ethical committee and has obtained the informed consent from every patient. Results In this video we show our modification of pectus arcuatum correction with only partial sternal osteotomy and further stabilization by vertical parallel titanium plates. Conclusions Reported method is a feasible option for surgical correction of pectus arcuatum. PMID:29078483

The Cosmic Infrared Background Experiment (CIBER): A Sounding Rocket Payload to Study the near Infrared Extragalactic Background Light

NASA Astrophysics Data System (ADS)

Zemcov, M.; Arai, T.; Battle, J.; Bock, J.; Cooray, A.; Hristov, V.; Keating, B.; Kim, M. G.; Lee, D. H.; Levenson, L. R.; Mason, P.; Matsumoto, T.; Matsuura, S.; Nam, U. W.; Renbarger, T.; Sullivan, I.; Suzuki, K.; Tsumura, K.; Wada, T.

2013-08-01

The Cosmic Infrared Background Experiment (CIBER) is a suite of four instruments designed to study the near infrared (IR) background light from above the Earth's atmosphere. The instrument package comprises two imaging telescopes designed to characterize spatial anisotropy in the extragalactic IR background caused by cosmological structure during the epoch of reionization, a low resolution spectrometer to measure the absolute spectrum of the extragalactic IR background, and a narrow band spectrometer optimized to measure the absolute brightness of the zodiacal light foreground. In this paper we describe the design and characterization of the CIBER payload. The detailed mechanical, cryogenic, and electrical design of the system are presented, including all system components common to the four instruments. We present the methods and equipment used to characterize the instruments before and after flight, and give a detailed description of CIBER's flight profile and configurations. CIBER is designed to be recoverable and has flown four times, with modifications to the payload having been informed by analysis of the first flight data. All four instruments performed to specifications during the subsequent flights, and the scientific data from these flights are currently being analyzed.

THE COSMIC INFRARED BACKGROUND EXPERIMENT (CIBER): A SOUNDING ROCKET PAYLOAD TO STUDY THE NEAR INFRARED EXTRAGALACTIC BACKGROUND LIGHT

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zemcov, M.; Bock, J.; Hristov, V.

2013-08-15

The Cosmic Infrared Background Experiment (CIBER) is a suite of four instruments designed to study the near infrared (IR) background light from above the Earth's atmosphere. The instrument package comprises two imaging telescopes designed to characterize spatial anisotropy in the extragalactic IR background caused by cosmological structure during the epoch of reionization, a low resolution spectrometer to measure the absolute spectrum of the extragalactic IR background, and a narrow band spectrometer optimized to measure the absolute brightness of the zodiacal light foreground. In this paper we describe the design and characterization of the CIBER payload. The detailed mechanical, cryogenic, andmore » electrical design of the system are presented, including all system components common to the four instruments. We present the methods and equipment used to characterize the instruments before and after flight, and give a detailed description of CIBER's flight profile and configurations. CIBER is designed to be recoverable and has flown four times, with modifications to the payload having been informed by analysis of the first flight data. All four instruments performed to specifications during the subsequent flights, and the scientific data from these flights are currently being analyzed.« less

Development of interest in science and interest in teaching elementary science: Influence of informal, school, and inquiry methods course experiences

NASA Astrophysics Data System (ADS)

Bulunuz, Mizrap

Inquiry-based science instruction is a major goal of science education reform. However, there is little research examining how preservice elementary teachers might be motivated to teach through inquiry. This quantitative study was designed to examine the role of background experiences and an inquiry science methods course on interest in science and interest in teaching science. The course included many activities and assignments at varying levels of inquiry, designed to teach content and inquiry methods and to model effective teaching. The study involved analyses of surveys completed by students in the course on their experiences with science before, during, and at the end of the course. The following questions guided the design of this study and analysis of the data: (1) What science background experiences (school, home, and informal education) do participants have and how do those experiences affect initial interest in science? (2) Among the hands-on activities in the methods course, is there a relationship between level of inquiry of the activity and the motivational quality (interesting, fun, and learning) of the activity? (3) Does the course affect participants' interest and attitude toward science? (4) What aspects of the course contribute to participants' interest in teaching science and choice to teach science? Descriptive and inferential analysis of a background survey revealed that participants with high and low initial interest in science differed significantly on remembering about elementary school science and involvement in science related activities in childhood/youth. Analysis of daily ratings of each hands-on activity on motivational qualities (fun, interest, and learning) indicated that there were significant differences in motivational quality of the activities by level of inquiry with higher levels of inquiry rated more positively. Pre/post surveys indicated that participants increased in interest in science and a number of variables reflecting more positive feelings about science and science teaching. Regression analysis found that the best predictors for interest in teaching science were experiencing fun activities in the science methods course followed by the interest participants brought to the course. This study highlights the motivational aspects of the methods course in developing interest in science and interest in teaching science.

77 FR 66634 - Agency Information Collection Activities: Proposed Collection; Comments Requested: Appeals of...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-06

...] Agency Information Collection Activities: Proposed Collection; Comments Requested: Appeals of Background... Information Collection (1) Type of Information Collection: Extension of a currently approved collection. (2) Title of the Form/Collection: Appeals of Background Checks. (3) Agency form number, if any, and the...

MRI brain tumor segmentation based on improved fuzzy c-means method

NASA Astrophysics Data System (ADS)

Deng, Wankai; Xiao, Wei; Pan, Chao; Liu, Jianguo

2009-10-01

This paper focuses on the image segmentation, which is one of the key problems in medical image processing. A new medical image segmentation method is proposed based on fuzzy c- means algorithm and spatial information. Firstly, we classify the image into the region of interest and background using fuzzy c means algorithm. Then we use the information of the tissues' gradient and the intensity inhomogeneities of regions to improve the quality of segmentation. The sum of the mean variance in the region and the reciprocal of the mean gradient along the edge of the region are chosen as an objective function. The minimum of the sum is optimum result. The result shows that the clustering segmentation algorithm is effective.

About nutria and their control

USGS Publications Warehouse

Evans, James

1970-01-01

This report presents much of the information we gathered during this four-year period about nutria and how to control them. Because it is meant primarily for the general public, it omits the specific references to the scientific literature that pepper most technical reports, but it does present background information on the history, biology, and behavior of nutria, particularly those in the Gulf Coast Region. The control methods presented, when used as directed, are safe and effective and provide solutions for most situations, including those where people want to alleviate nutria damage without killing the nutria. Though we were pleased with these results, research still continues, directed toward discovering new and better methods of control that will solve any future problem with nutria.

Cluster signal-to-noise analysis for evaluation of the information content in an image.

PubMed

Weerawanich, Warangkana; Shimizu, Mayumi; Takeshita, Yohei; Okamura, Kazutoshi; Yoshida, Shoko; Yoshiura, Kazunori

2018-01-01

(1) To develop an observer-free method of analysing image quality related to the observer performance in the detection task and (2) to analyse observer behaviour patterns in the detection of small mass changes in cone-beam CT images. 13 observers detected holes in a Teflon phantom in cone-beam CT images. Using the same images, we developed a new method, cluster signal-to-noise analysis, to detect the holes by applying various cut-off values using ImageJ and reconstructing cluster signal-to-noise curves. We then evaluated the correlation between cluster signal-to-noise analysis and the observer performance test. We measured the background noise in each image to evaluate the relationship with false positive rates (FPRs) of the observers. Correlations between mean FPRs and intra- and interobserver variations were also evaluated. Moreover, we calculated true positive rates (TPRs) and accuracies from background noise and evaluated their correlations with TPRs from observers. Cluster signal-to-noise curves were derived in cluster signal-to-noise analysis. They yield the detection of signals (true holes) related to noise (false holes). This method correlated highly with the observer performance test (R 2 = 0.9296). In noisy images, increasing background noise resulted in higher FPRs and larger intra- and interobserver variations. TPRs and accuracies calculated from background noise had high correlation with actual TPRs from observers; R 2 was 0.9244 and 0.9338, respectively. Cluster signal-to-noise analysis can simulate the detection performance of observers and thus replace the observer performance test in the evaluation of image quality. Erroneous decision-making increased with increasing background noise.

Evaluation of the effectiveness of Gaussian filtering in distinguishing punctate synaptic signals from background noise during image analysis.

PubMed

Iwabuchi, Sadahiro; Kakazu, Yasuhiro; Koh, Jin-Young; Harata, N Charles

2014-02-15

Images in biomedical imaging research are often affected by non-specific background noise. This poses a serious problem when the noise overlaps with specific signals to be quantified, e.g. for their number and intensity. A simple and effective means of removing background noise is to prepare a filtered image that closely reflects background noise and to subtract it from the original unfiltered image. This approach is in common use, but its effectiveness in identifying and quantifying synaptic puncta has not been characterized in detail. We report on our assessment of the effectiveness of isolating punctate signals from diffusely distributed background noise using one variant of this approach, "Difference of Gaussian(s) (DoG)" which is based on a Gaussian filter. We evaluated immunocytochemically stained, cultured mouse hippocampal neurons as an example, and provided the rationale for choosing specific parameter values for individual steps in detecting glutamatergic nerve terminals. The intensity and width of the detected puncta were proportional to those obtained by manual fitting of two-dimensional Gaussian functions to the local information in the original image. DoG was compared with the rolling-ball method, using biological data and numerical simulations. Both methods removed background noise, but differed slightly with respect to their efficiency in discriminating neighboring peaks, as well as their susceptibility to high-frequency noise and variability in object size. DoG will be useful in detecting punctate signals, once its characteristics are examined quantitatively by experimenters. Copyright © 2013 Elsevier B.V. All rights reserved.

Pavement crack detection combining non-negative feature with fast LoG in complex scene

NASA Astrophysics Data System (ADS)

Wang, Wanli; Zhang, Xiuhua; Hong, Hanyu

2015-12-01

Pavement crack detection is affected by much interference in the realistic situation, such as the shadow, road sign, oil stain, salt and pepper noise etc. Due to these unfavorable factors, the exist crack detection methods are difficult to distinguish the crack from background correctly. How to extract crack information effectively is the key problem to the road crack detection system. To solve this problem, a novel method for pavement crack detection based on combining non-negative feature with fast LoG is proposed. The two key novelties and benefits of this new approach are that 1) using image pixel gray value compensation to acquisit uniform image, and 2) combining non-negative feature with fast LoG to extract crack information. The image preprocessing results demonstrate that the method is indeed able to homogenize the crack image with more accurately compared to existing methods. A large number of experimental results demonstrate the proposed approach can detect the crack regions more correctly compared with traditional methods.

Interactive use of online health resources: a comparison of consumer and professional questions

PubMed Central

Demner-Fushman, Dina

2016-01-01

Objective To understand how consumer questions on online resources differ from questions asked by professionals, and how such consumer questions differ across resources. Materials and Methods Ten online question corpora, 5 consumer and 5 professional, with a combined total of over 40 000 questions, were analyzed using a variety of natural language processing techniques. These techniques analyze questions at the lexical, syntactic, and semantic levels, exposing differences in both form and content. Results Consumer questions tend to be longer than professional questions, more closely resemble open-domain language, and focus far more on medical problems. Consumers ask more sub-questions, provide far more background information, and ask different types of questions than professionals. Furthermore, there is substantial variance of these factors between the different consumer corpora. Discussion The form of consumer questions is highly dependent upon the individual online resource, especially in the amount of background information provided. Professionals, on the other hand, provide very little background information and often ask much shorter questions. The content of consumer questions is also highly dependent upon the resource. While professional questions commonly discuss treatments and tests, consumer questions focus disproportionately on symptoms and diseases. Further, consumers place far more emphasis on certain types of health problems (eg, sexual health). Conclusion Websites for consumers to submit health questions are a popular online resource filling important gaps in consumer health information. By analyzing how consumers write questions on these resources, we can better understand these gaps and create solutions for improving information access. This article is part of the Special Focus on Person-Generated Health and Wellness Data, which published in the May 2016 issue, Volume 23, Issue 3. PMID:27147494

78 FR 70070 - Agency Information Collection Activities; Proposed Collection; Comments Requested: Request for...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-22

... Background Investigation Information ACTION: 30-Day notice. The Department of Justice (DOJ), Bureau of... the burden of the proposed collection of information, including the validity of the methodology and... Form/Collection: Request for ATF Background Investigation Information. (3) Agency form number, if any...

[Effects of exposure frequency and background information on preferences for photographs of cars in different locations].

PubMed

Matsuda, Ken; Kusumi, Takashi; Hosomi, Naohiro; Osa, Atsushi; Miike, Hidetoshi

2014-08-01

This study examined the influence of familiarity and novelty on the mere exposure effect while manipulating the presentation of background information. We selected presentation stimuli that integrated cars and backgrounds based on the results of pilot studies. During the exposure phase, we displayed the stimuli successively for 3 seconds, manipulating the background information (same or different backgrounds with each presentation) and exposure frequency (3, 6, and 9 times). In the judgment phase, 18 participants judged the cars in terms of preference, familiarity, and novelty on a 7-point scale. As the number of stimulus presentations increased, the preference for the cars increased during the different background condition and decreased during the same background condition. This increased preference may be due to the increase in familiarity caused by the higher exposure frequency and novelty resulting from the background changes per exposure session. The rise in preference judgments was not seen when cars and backgrounds were presented independently. Therefore, the addition of novel features to each exposure session facilitated the mere exposure effect.

A unified framework for gesture recognition and spatiotemporal gesture segmentation.

PubMed

Alon, Jonathan; Athitsos, Vassilis; Yuan, Quan; Sclaroff, Stan

2009-09-01

Within the context of hand gesture recognition, spatiotemporal gesture segmentation is the task of determining, in a video sequence, where the gesturing hand is located and when the gesture starts and ends. Existing gesture recognition methods typically assume either known spatial segmentation or known temporal segmentation, or both. This paper introduces a unified framework for simultaneously performing spatial segmentation, temporal segmentation, and recognition. In the proposed framework, information flows both bottom-up and top-down. A gesture can be recognized even when the hand location is highly ambiguous and when information about when the gesture begins and ends is unavailable. Thus, the method can be applied to continuous image streams where gestures are performed in front of moving, cluttered backgrounds. The proposed method consists of three novel contributions: a spatiotemporal matching algorithm that can accommodate multiple candidate hand detections in every frame, a classifier-based pruning framework that enables accurate and early rejection of poor matches to gesture models, and a subgesture reasoning algorithm that learns which gesture models can falsely match parts of other longer gestures. The performance of the approach is evaluated on two challenging applications: recognition of hand-signed digits gestured by users wearing short-sleeved shirts, in front of a cluttered background, and retrieval of occurrences of signs of interest in a video database containing continuous, unsegmented signing in American Sign Language (ASL).

Custom-made raster method for fistula and graft.

PubMed

Blokker, C

2005-01-01

Unfamiliarity with fistula and graft characteristics can lead to failed punctures, haematomas and sometimes access occlusion. The Custom-made Raster Method provides detailed shunt visualisation and angiographic images by using photo-editing software. Access veins of an individual shunt and an adapted raster are projected on a digital picture of the arm. During angiography the shunt arm is fixated and a digital picture is taken from a fixed vertical angle and distance. Reference points are marked on the shunt arm, which serves as a fixation to draw a raster with coordination points. In this way a picture is created similar to a roadmap with veins. There is complete integration of digital and radiological images by using software programmes Adobe Photoshop + Illustrator or Agfa Web 1000 under Windows XP. All illustrations fit 1:1 by scaling up or down without distortion. Editing with Photoshop gives a precise projection of shunt veins on the real coloured background of the digital photograph. In this projection the grey angiography background is made completely transparent. The system can contain more detailed information in combination with echo (duplex) images of depth and diameter. This visualisation method is a useful tool for multi disciplinary access meetings with intervention radiologists, access surgeons and nephrologists. Access malfunction, aneurysms and stenosis can be projected at the exact location. The system leads to clear and concrete puncture advice. Transfer of access information and communication to other dialysis centres is facilitated.

The study of infrared target recognition at sea background based on visual attention computational model

NASA Astrophysics Data System (ADS)

Wang, Deng-wei; Zhang, Tian-xu; Shi, Wen-jun; Wei, Long-sheng; Wang, Xiao-ping; Ao, Guo-qing

2009-07-01

Infrared images at sea background are notorious for the low signal-to-noise ratio, therefore, the target recognition of infrared image through traditional methods is very difficult. In this paper, we present a novel target recognition method based on the integration of visual attention computational model and conventional approach (selective filtering and segmentation). The two distinct techniques for image processing are combined in a manner to utilize the strengths of both. The visual attention algorithm searches the salient regions automatically, and represented them by a set of winner points, at the same time, demonstrated the salient regions in terms of circles centered at these winner points. This provides a priori knowledge for the filtering and segmentation process. Based on the winner point, we construct a rectangular region to facilitate the filtering and segmentation, then the labeling operation will be added selectively by requirement. Making use of the labeled information, from the final segmentation result we obtain the positional information of the interested region, label the centroid on the corresponding original image, and finish the localization for the target. The cost time does not depend on the size of the image but the salient regions, therefore the consumed time is greatly reduced. The method is used in the recognition of several kinds of real infrared images, and the experimental results reveal the effectiveness of the algorithm presented in this paper.

Reusable design: A proposed approach to Public Health Informatics system design

PubMed Central

2011-01-01

Background Since it was first defined in 1995, Public Health Informatics (PHI) has become a recognized discipline, with a research agenda, defined domain-specific competencies and a specialized corpus of technical knowledge. Information systems form a cornerstone of PHI research and implementation, representing significant progress for the nascent field. However, PHI does not advocate or incorporate standard, domain-appropriate design methods for implementing public health information systems. Reusable design is generalized design advice that can be reused in a range of similar contexts. We propose that PHI create and reuse information design knowledge by taking a systems approach that incorporates design methods from the disciplines of Human-Computer Interaction, Interaction Design and other related disciplines. Discussion Although PHI operates in a domain with unique characteristics, many design problems in public health correspond to classic design problems, suggesting that existing design methods and solution approaches are applicable to the design of public health information systems. Among the numerous methodological frameworks used in other disciplines, we identify scenario-based design and participatory design as two widely-employed methodologies that are appropriate for adoption as PHI standards. We make the case that these methods show promise to create reusable design knowledge in PHI. Summary We propose the formalization of a set of standard design methods within PHI that can be used to pursue a strategy of design knowledge creation and reuse for cost-effective, interoperable public health information systems. We suggest that all public health informaticians should be able to use these design methods and the methods should be incorporated into PHI training. PMID:21333000

14 CFR 1203.200 - Background and discussion.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 1203.200 Aeronautics and Space NATIONAL AERONAUTICS AND SPACE ADMINISTRATION INFORMATION SECURITY PROGRAM NASA Information Security Program § 1203.200 Background and discussion. (a) In establishing a... public inspection of that information that is classified to protect the national security. (b) In...

14 CFR 1203.200 - Background and discussion.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 1203.200 Aeronautics and Space NATIONAL AERONAUTICS AND SPACE ADMINISTRATION INFORMATION SECURITY PROGRAM NASA Information Security Program § 1203.200 Background and discussion. (a) In establishing a... public inspection of that information that is classified to protect the national security. (b) In...

Unsupervised background-constrained tank segmentation of infrared images in complex background based on the Otsu method.

PubMed

Zhou, Yulong; Gao, Min; Fang, Dan; Zhang, Baoquan

2016-01-01

In an effort to implement fast and effective tank segmentation from infrared images in complex background, the threshold of the maximum between-class variance method (i.e., the Otsu method) is analyzed and the working mechanism of the Otsu method is discussed. Subsequently, a fast and effective method for tank segmentation from infrared images in complex background is proposed based on the Otsu method via constraining the complex background of the image. Considering the complexity of background, the original image is firstly divided into three classes of target region, middle background and lower background via maximizing the sum of their between-class variances. Then, the unsupervised background constraint is implemented based on the within-class variance of target region and hence the original image can be simplified. Finally, the Otsu method is applied to simplified image for threshold selection. Experimental results on a variety of tank infrared images (880 × 480 pixels) in complex background demonstrate that the proposed method enjoys better segmentation performance and even could be comparative with the manual segmentation in segmented results. In addition, its average running time is only 9.22 ms, implying the new method with good performance in real time processing.

Pregnancy and lactation advice: How does Australian Product Information compare with established information resources?

PubMed Central

Hotham, Elizabeth; Hotham, Neil

2016-01-01

Background Product information is a popular medicines information resource; however, there is some evidence that its pregnancy and lactation information is overconservative, which can lead to inadequate treatment of pregnant and lactating women. Methods A thorough analysis of pregnancy and lactation information within Australian Product Information and Consumer Medicines Information was performed. The statements within these resources were compared with established clinical resources: Australian Medicines Handbook, Therapeutic Guidelines, South Australian Perinatal Practice Guidelines, Organization of Teratology Information Specialists, LactMed, Motherisk and the Pregnancy and Breastfeeding Medicines Guide published by the Royal Women’s Hospital Melbourne. Results Product Information was found to be the most cautious resource, with 44.5% of pregnancy recommendations and 69% of lactation recommendations reviewed being more conservative than other resources. Conclusion Product Information is an imperfect and often overconservative reference for pregnant and lactating women. Health professionals are urged to review established clinical resources to inform decision making. PMID:27630750

The influence of immigrant background on the choice of sedation method in paediatric dentistry.

PubMed

Dahlander, Andreas; Jansson, Leif; Carlstedt, Kerstin; Grindefjord, Margaret

2015-01-01

The effects of immigration on the demographics of the Swedish population have changed the situation for many dental care providers, placing increased demand on cultural competence. The aim of this investigation was to study the choice of sedation method among children with immigrant background, referred to paediatric dentistry specialists, because of behaviour management problems or dental fear in combination with treatment needs. The material consisted of dental records from children referred to two clinics for paediatric dentistry: 117 records from children with an immigrant background and 106 from children with a non-immigrant background. Information about choice of sedation method (conventional treatment, conscious sedation with midazolam, nitrous oxide, or general anaesthesia) and dental status was collected from the records. The number of missed appointments (defaults) was also registered. Binary logistic regression analyses were used to calculate the influence of potential predictors on choice of sedation method. The mean age of the patients in the immigrant group was 4.9 yrs, making them significantly younger than the patients in the non-immigrant group (mean 5.7 yrs). In the immigrant group, 26% of the patients defaulted from treatments, while the corresponding frequency was significantly lower for the reference group (7%). The numbers of primary teeth with caries and permanent teeth with caries were positively and significantly correlated with the choice of treatment under general anaesthesia. Conscious sedation was used significantly more often in younger children and in the non-immigrant group, while nitrous oxide was preferred in the older children. In conclusion, conscious sedation was more frequently used in the non-immigrant group. The choice of sedation was influenced by caries frequency and the age of the child.

Clinician preferences for verbal communication compared to EHR documentation in the ICU

PubMed Central

Collins, S.A.; Bakken, S.; Vawdrey, D.K.; Coiera, E.; Currie, L

2011-01-01

Background Effective communication is essential to safe and efficient patient care. Additionally, many health information technology (HIT) developments, innovations, and standards aim to implement processes to improve data quality and integrity of electronic health records (EHR) for the purpose of clinical information exchange and communication. Objective We aimed to understand the current patterns and perceptions of communication of common goals in the ICU using the distributed cognition and clinical communication space theoretical frameworks. Methods We conducted a focus group and 5 interviews with ICU clinicians and observed 59.5 hours of interdisciplinary ICU morning rounds. Results Clinicians used an EHR system, which included electronic documentation and computerized provider order entry (CPOE), and paper artifacts for documentation; yet, preferred the verbal communication space as a method of information exchange because they perceived that the documentation was often not updated or efficient for information retrieval. These perceptions that the EHR is a “shift behind” may lead to a further reliance on verbal information exchange, which is a valuable clinical communication activity, yet, is subject to information loss. Conclusions Electronic documentation tools that, in real time, capture information that is currently verbally communicated may increase the effectiveness of communication. PMID:23616870

How do patient characteristics influence informal payments for inpatient and outpatient health care in Albania: Results of logit and OLS models using Albanian LSMS 2005

PubMed Central

2011-01-01

Background Informal payments for health care are common in most former communist countries. This paper explores the demand side of these payments in Albania. By using data from the Living Standard Measurement Survey 2005 we control for individual determinants of informal payments in inpatient and outpatient health care. We use these results to explain the main factors contributing to the occurrence and extent of informal payments in Albania. Methods Using multivariate methods (logit and OLS) we test three models to explain informal payments: the cultural, economic and governance model. The results of logit models are presented here as odds ratios (OR) and results from OLS models as regression coefficients (RC). Results Our findings suggest differences in determinants of informal payments in inpatient and outpatient care. Generally our results show that informal payments are dependent on certain characteristics of patients, including age, area of residence, education, health status and health insurance. However, they are less dependent on income, suggesting homogeneity of payments across income categories. Conclusions We have found more evidence for the validity of governance and economic models than for the cultural model. PMID:21605459

A new method of SC image processing for confluence estimation.

PubMed

Soleimani, Sajjad; Mirzaei, Mohsen; Toncu, Dana-Cristina

2017-10-01

Stem cells images are a strong instrument in the estimation of confluency during their culturing for therapeutic processes. Various laboratory conditions, such as lighting, cell container support and image acquisition equipment, effect on the image quality, subsequently on the estimation efficiency. This paper describes an efficient image processing method for cell pattern recognition and morphological analysis of images that were affected by uneven background. The proposed algorithm for enhancing the image is based on coupling a novel image denoising method through BM3D filter with an adaptive thresholding technique for improving the uneven background. This algorithm works well to provide a faster, easier, and more reliable method than manual measurement for the confluency assessment of stem cell cultures. The present scheme proves to be valid for the prediction of the confluency and growth of stem cells at early stages for tissue engineering in reparatory clinical surgery. The method used in this paper is capable of processing the image of the cells, which have already contained various defects due to either personnel mishandling or microscope limitations. Therefore, it provides proper information even out of the worst original images available. Copyright © 2017 Elsevier Ltd. All rights reserved.

Spectral and temporal changes to speech produced in the presence of energetic and informational maskers.

PubMed

Cooke, Martin; Lu, Youyi

2010-10-01

Talkers change the way they speak in noisy conditions. For energetic maskers, speech production changes are relatively well-understood, but less is known about how informational maskers such as competing speech affect speech production. The current study examines the effect of energetic and informational maskers on speech production by talkers speaking alone or in pairs. Talkers produced speech in quiet and in backgrounds of speech-shaped noise, speech-modulated noise, and competing speech. Relative to quiet, speech output level and fundamental frequency increased and spectral tilt flattened in proportion to the energetic masking capacity of the background. In response to modulated backgrounds, talkers were able to reduce substantially the degree of temporal overlap with the noise, with greater reduction for the competing speech background. Reduction in foreground-background overlap can be expected to lead to a release from both energetic and informational masking for listeners. Passive changes in speech rate, mean pause length or pause distribution cannot explain the overlap reduction, which appears instead to result from a purposeful process of listening while speaking. Talkers appear to monitor the background and exploit upcoming pauses, a strategy which is particularly effective for backgrounds containing intelligible speech.

A Qualitative Study to Evaluate the Effectiveness of Simulation as a Training Method in Implementation of Electronic Medical Records

ERIC Educational Resources Information Center

Chelton, Barbara S.

2009-01-01

Background: Adoption of electronic medical records has been gradual in part due to physician concerns that its use in the exam room will interfere with the physician-patient relationship. Studies demonstrate their concern to be loss of eye contact with the patient and that entering information into the computer in the presence of the patient will…

Effect of Sleep Duration, Diet, and Physical Activity on Obesity and Overweight Elementary School Students in Shanghai

ERIC Educational Resources Information Center

Zhang, Jing; Zhang, YunTing; Jiang, YanRui; Sun, WanQi; Zhu, Qi; Ip, Patrick; Zhang, DongLan; Liu, ShiJian; Chen, Chang; Chen, Jie; Zhang, Lei; Zhang, Hao; Tang, MingYu; Dong, WenFang; Wu, YuFeng; Yin, Yong; Jiang, Fan

2018-01-01

Background: This was a cross-sectional survey to investigate the relationship of age, parent education, sleep duration, physical activity, and dietary habits with overweight or obesity in school-age children in Shanghai. Methods: The survey gathered information from 13,001 children in grades 1 through 5 (age 6 to 10 years) among 26 elementary…

Predictors and Pathways of Language and Motor Development in Four Prospective Cohorts of Young Children in Ghana, Malawi, and Burkina Faso

ERIC Educational Resources Information Center

Prado, Elizabeth L.; Abbeddou, Souheila; Adu-Afarwuah, Seth; Arimond, Mary; Ashorn, Per; Ashorn, Ulla; Bendabenda, Jaden; Brown, Kenneth H.; Hess, Sonja Y.; Kortekangas, Emma; Lartey, Anna; Maleta, Kenneth; Oaks, Brietta M.; Ocansey, Eugenia; Okronipa, Harriet; Ouédraogo, Jean Bosco; Pulakka, Anna; Somé, Jérôme W.; Stewart, Christine P.; Stewart, Robert C.; Vosti, Stephen A.; Yakes Jimenez, Elizabeth; Dewey, Kathryn G.

2017-01-01

Background: Previous reviews have identified 44 risk factors for poor early child development (ECD) in low- and middle-income countries. Further understanding of their relative influence and pathways is needed to inform the design of interventions targeting ECD. Methods: We conducted path analyses of factors associated with 18-month language and…

Deliberate Self-Harm within an International Community Sample of Young People: Comparative Findings from the Child & Adolescent Self-Harm in Europe (CASE) Study

ERIC Educational Resources Information Center

Madge, Nicola; Hewitt, Anthea; Hawton, Keith; de Wilde, Erik Jan; Corcoran, Paul; Fekete, Sandor; van Heeringen, Kees; De Leo, Diego; Ystgaard, Mette

2008-01-01

Background: Deliberate self-harm among young people is an important focus of policy and practice internationally. Nonetheless, there is little reliable comparative international information on its extent or characteristics. We have conducted a seven-country comparative community study of deliberate self-harm among young people. Method: Over 30,000…

Method for Establishing Direction of Arrival by Use of Signals of Opportunity

DTIC Science & Technology

2017-08-29

March 2018 The below identified patent application is available for licensing. Requests for information should be addressed to: TECHNOLOGY...without the payment of any royalties thereon or therefor. CROSS REFERENCE TO OTHER PATENT APPLICATIONS [0002] None. BACKGROUND OF THE INVENTION (1...based on a statistical model of a partitioned aperture communications receiving system and specifically a receiving system to converge on a best

Use of Psychoactive Medications in Hong Kong Institutions for Adults with Severe to Profound Learning Disabilities: A Retrospective Study (1988-2003) and Economic Analysis

ERIC Educational Resources Information Center

Lim, Winston Woon Chu

2007-01-01

Background: Little information is available about prescribing patterns for patients with severe learning disabilities in Asian institutions. Materials and methods: Prescription audits were performed at Siu Lam Hospital (SLH) and Tuen Mun Hospital (TMH), Hong Kong, between 1988 and 2003. Results: About 65% of patients were receiving psychoactive…

Feasibility, Reliability and Validity of the Dutch Translation of the Anxiety, Depression and Mood Scale in Older Adults with Intellectual Disabilities

ERIC Educational Resources Information Center

Hermans, Heidi; Jelluma, Naftha; van der Pas, Femke H.; Evenhuis, Heleen M.

2012-01-01

Background: The informant-based Anxiety, Depression And Mood Scale was translated into Dutch and its feasibility, reliability and validity in older adults (aged greater than or equal to 50 years) with intellectual disabilities (ID) was studied. Method: Test-retest (n = 93) and interrater reliability (n = 83), and convergent (n = 202 and n = 787),…

Tobacco and Alcohol Use in People with Mild/Moderate Intellectual Disabilities: Giving Voice to Their Health Promotion Needs

ERIC Educational Resources Information Center

Kerr, Susan; Lawrence, Maggie; Middleton, Alan R.; Fitzsimmons, Lorna; Darbyshire, Christopher

2017-01-01

Background: Concerns have been raised about the use/misuse of tobacco and alcohol by people with mild/moderate intellectual disabilities. Aiming to address an identified gap in the current evidence base, this study sought to gain an understanding of the tobacco- and alcohol-related health promotion needs of this client group. Methods: Informed by…

Megalithic Monument of Abuli, Georgia, and Possible Astronomical Signi cance

NASA Astrophysics Data System (ADS)

Jijelava, Badri; Simonia, Irakli

2016-08-01

Background/Objectives: In recent years, in purpose of investigation of the artefacts, the ancient culture and religion, based on the astronomy knowledge play significant role. The aim of this work is to identify the orientations of the religious megalithic complexes and their correlation to the celestial luminaries. Methods/Statistical Analysis: We harmonized the archeological data, ethnographical, historical information and restoration of ancient celestial sphere (using special astronomy application), which give us possibility to identify the correlations between the acronychal or helical rising/ set of luminaries and directions of megalithic objects. Very often such connections are stored in a current folklore too. Findings: This technique of investigations give us more clear understanding of ancient universe. Using this method, we can receive latent information about the ancient Gods - Luminaries, clarify current mythology, date of the megalithic complex. Application/Improvements: This method of investigation is an additional instrument for archeological investigations,

Evaluation of Patient Handoff Methods on an Inpatient Teaching Service

PubMed Central

Craig, Steven R.; Smith, Hayden L.; Downen, A. Matthew; Yost, W. John

2012-01-01

Background The patient handoff process can be a highly variable and unstructured period at risk for communication errors. The morning sign-in process used by resident physicians at teaching hospitals typically involves less rigorous handoff protocols than the resident evening sign-out process. Little research has been conducted on best practices for handoffs during morning sign-in exchanges between resident physicians. Research must evaluate optimal protocols for the resident morning sign-in process. Methods Three morning handoff protocols consisting of written, electronic, and face-to-face methods were implemented over 3 study phases during an academic year. Study participants included all interns covering the internal medicine inpatient teaching service at a tertiary hospital. Study measures entailed intern survey-based interviews analyzed for failures in handoff protocols with or without missed pertinent information. Descriptive and comparative analyses examined study phase differences. Results A scheduled face-to-face handoff process had the fewest protocol deviations and demonstrated best communication of essential patient care information between cross-covering teams compared to written and electronic sign-in protocols. Conclusion Intern patient handoffs were more reliable when the sign-in protocol included scheduled face-to-face meetings. This method provided the best communication of patient care information and allowed for open exchanges of information. PMID:23267259

Mutual information estimation reveals global associations between stimuli and biological processes

PubMed Central

Suzuki, Taiji; Sugiyama, Masashi; Kanamori, Takafumi; Sese, Jun

2009-01-01

Background Although microarray gene expression analysis has become popular, it remains difficult to interpret the biological changes caused by stimuli or variation of conditions. Clustering of genes and associating each group with biological functions are often used methods. However, such methods only detect partial changes within cell processes. Herein, we propose a method for discovering global changes within a cell by associating observed conditions of gene expression with gene functions. Results To elucidate the association, we introduce a novel feature selection method called Least-Squares Mutual Information (LSMI), which computes mutual information without density estimaion, and therefore LSMI can detect nonlinear associations within a cell. We demonstrate the effectiveness of LSMI through comparison with existing methods. The results of the application to yeast microarray datasets reveal that non-natural stimuli affect various biological processes, whereas others are no significant relation to specific cell processes. Furthermore, we discover that biological processes can be categorized into four types according to the responses of various stimuli: DNA/RNA metabolism, gene expression, protein metabolism, and protein localization. Conclusion We proposed a novel feature selection method called LSMI, and applied LSMI to mining the association between conditions of yeast and biological processes through microarray datasets. In fact, LSMI allows us to elucidate the global organization of cellular process control. PMID:19208155

Airborne Infrared and Visible Image Fusion Combined with Region Segmentation

PubMed Central

Zuo, Yujia; Liu, Jinghong; Bai, Guanbing; Wang, Xuan; Sun, Mingchao

2017-01-01

This paper proposes an infrared (IR) and visible image fusion method introducing region segmentation into the dual-tree complex wavelet transform (DTCWT) region. This method should effectively improve both the target indication and scene spectrum features of fusion images, and the target identification and tracking reliability of fusion system, on an airborne photoelectric platform. The method involves segmenting the region in an IR image by significance, and identifying the target region and the background region; then, fusing the low-frequency components in the DTCWT region according to the region segmentation result. For high-frequency components, the region weights need to be assigned by the information richness of region details to conduct fusion based on both weights and adaptive phases, and then introducing a shrinkage function to suppress noise; Finally, the fused low-frequency and high-frequency components are reconstructed to obtain the fusion image. The experimental results show that the proposed method can fully extract complementary information from the source images to obtain a fusion image with good target indication and rich information on scene details. They also give a fusion result superior to existing popular fusion methods, based on eithers subjective or objective evaluation. With good stability and high fusion accuracy, this method can meet the fusion requirements of IR-visible image fusion systems. PMID:28505137

Airborne Infrared and Visible Image Fusion Combined with Region Segmentation.

PubMed

Zuo, Yujia; Liu, Jinghong; Bai, Guanbing; Wang, Xuan; Sun, Mingchao

2017-05-15

This paper proposes an infrared (IR) and visible image fusion method introducing region segmentation into the dual-tree complex wavelet transform (DTCWT) region. This method should effectively improve both the target indication and scene spectrum features of fusion images, and the target identification and tracking reliability of fusion system, on an airborne photoelectric platform. The method involves segmenting the region in an IR image by significance, and identifying the target region and the background region; then, fusing the low-frequency components in the DTCWT region according to the region segmentation result. For high-frequency components, the region weights need to be assigned by the information richness of region details to conduct fusion based on both weights and adaptive phases, and then introducing a shrinkage function to suppress noise; Finally, the fused low-frequency and high-frequency components are reconstructed to obtain the fusion image. The experimental results show that the proposed method can fully extract complementary information from the source images to obtain a fusion image with good target indication and rich information on scene details. They also give a fusion result superior to existing popular fusion methods, based on eithers subjective or objective evaluation. With good stability and high fusion accuracy, this method can meet the fusion requirements of IR-visible image fusion systems.

Postmastectomy Information Needs and Information-seeking Motives for Women with Breast Cancer

PubMed Central

Latifi, Masoome; Salimi, Sohrab; Barahmand, Nilofar; Fahimnia, Fateme; Allahbakhshian Farsani, Leili

2018-01-01

Background: Health information-seeking behavior is a key concept in the empowerment of women with breast cancer after mastectomy for self-care management. Thus, a real understanding of their information needs and their information-seeking behavior may open up new opportunities for their postsurgery cares. The current research was conducted to identify the information needs and information-seeking motives of women with breast cancer after mastectomy. Materials and Methods: This is an applied qualitative research. Samples included 17 women with breast cancer after mastectomy selected from two hospitals of Shahid Mohammadi and Persian Gulf and Omid Central Chemotherapy in Bandar Abbas. Data were collected using semi-structured interview on winter 2014 and analyzed using qualitative content analysis method. Results: Three basic contents were extracted including information needs related to mental health, physical health related to disease and personal daily activities along with their subcategories, and representing common experience and perception of mastectomized women seeking for health information. Furthermore, hope, self-esteem, return to life, and available social support resources were expressed as the main information-seeking motives. Conclusion: Considering research findings, mastectomized women need to receive information in wide range of health and thus pursue purposeful behavior. Hence, it is necessary that required actions and measures are taken by health-care authorities, especially institutions responsible for women health, to support and meet information needs of the patients considering their information-seeking motives. PMID:29862224

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

This report was prepared at the request of the Lawrence Livermore Laboratory (LLL) to provide background information for analyzing soil-structure interaction by the frequency-independent impedance function approach. LLL is conducting such analyses as part of its seismic review of selected operating plants under the Systematic Evaluation Program for the US Nuclear Regulatory Commission. The analytical background and basic assumptionsof the impedance function theory are briefly reviewed, and the role of radiation damping in soil-structure interaction analysis is discussed. The validity of modeling soil-structure interaction by using frequency-independent functions is evaluated based on data from several field tests. Finally, the recommendedmore » procedures for performing soil-structure interaction analyses are discussed with emphasis on the modal superposition method.« less

Smoking Cessation and the Internet: A Qualitative Method Examining Online Consumer Behavior

PubMed Central

Frisby, Genevieve; Borland, Ron; Anderson, Jeremy N

2002-01-01

Background Smoking is a major preventable cause of disease and disability around the world. Smoking cessation support — including information, discussion groups, cognitive behavioral treatment, and self-help materials — can be delivered via the Internet. There is limited information about the reasons and methods consumers access smoking cessation information on the Internet. Objectives This study aims to determine the feasibility of a method to examine the online behavior of consumers seeking smoking cessation resources. In particular, we sought to identify the reasons and methods consumers use to access and assess the quality of these resources. Methods Thirteen participants were recruited via the state-based Quit® smoking cessation campaign, operated by the Victorian Cancer Council, in December 2001. Online behavior was evaluated using semi-structured interviews and Internet simulations where participants sought smoking cessation information and addressed set-case scenarios. Online interaction was tracked through pervasive logging with specialist software. Results Thirteen semi-structured interviews and 4 Internet simulations were conducted in January 2002. Participants sought online smoking cessation resources for reasons of convenience, timeliness, and anonymity — and because their current information needs were unmet. They employed simple search strategies and could not always find information in an efficient manner. Participants employed several different strategies to assess the quality of online health resources. Conclusions Consumer online behavior can be studied using a combination of survey, observation, and online surveillance. However, further qualitative and observational research is required to harness the full potential of the Internet to deliver public health resources. PMID:12554555

A depth enhancement strategy for kinect depth image

NASA Astrophysics Data System (ADS)

Quan, Wei; Li, Hua; Han, Cheng; Xue, Yaohong; Zhang, Chao; Hu, Hanping; Jiang, Zhengang

2018-03-01

Kinect is a motion sensing input device which is widely used in computer vision and other related fields. However, there are many inaccurate depth data in Kinect depth images even Kinect v2. In this paper, an algorithm is proposed to enhance Kinect v2 depth images. According to the principle of its depth measuring, the foreground and the background are considered separately. As to the background, the holes are filled according to the depth data in the neighborhood. And as to the foreground, a filling algorithm, based on the color image concerning about both space and color information, is proposed. An adaptive joint bilateral filtering method is used to reduce noise. Experimental results show that the processed depth images have clean background and clear edges. The results are better than ones of traditional Strategies. It can be applied in 3D reconstruction fields to pretreat depth image in real time and obtain accurate results.

[Evaluation of eco-environmental quality based on artificial neural network and remote sensing techniques].

PubMed

Li, Hongyi; Shi, Zhou; Sha, Jinming; Cheng, Jieliang

2006-08-01

In the present study, vegetation, soil brightness, and moisture indices were extracted from Landsat ETM remote sensing image, heat indices were extracted from MODIS land surface temperature product, and climate index and other auxiliary geographical information were selected as the input of neural network. The remote sensing eco-environmental background value of standard interest region evaluated in situ was selected as the output of neural network, and the back propagation (BP) neural network prediction model containing three layers was designed. The network was trained, and the remote sensing eco-environmental background value of Fuzhou in China was predicted by using software MATLAB. The class mapping of remote sensing eco-environmental background values based on evaluation standard showed that the total classification accuracy was 87. 8%. The method with a scheme of prediction first and classification then could provide acceptable results in accord with the regional eco-environment types.

PolyaPeak: Detecting Transcription Factor Binding Sites from ChIP-seq Using Peak Shape Information

PubMed Central

Wu, Hao; Ji, Hongkai

2014-01-01

ChIP-seq is a powerful technology for detecting genomic regions where a protein of interest interacts with DNA. ChIP-seq data for mapping transcription factor binding sites (TFBSs) have a characteristic pattern: around each binding site, sequence reads aligned to the forward and reverse strands of the reference genome form two separate peaks shifted away from each other, and the true binding site is located in between these two peaks. While it has been shown previously that the accuracy and resolution of binding site detection can be improved by modeling the pattern, efficient methods are unavailable to fully utilize that information in TFBS detection procedure. We present PolyaPeak, a new method to improve TFBS detection by incorporating the peak shape information. PolyaPeak describes peak shapes using a flexible Pólya model. The shapes are automatically learnt from the data using Minorization-Maximization (MM) algorithm, then integrated with the read count information via a hierarchical model to distinguish true binding sites from background noises. Extensive real data analyses show that PolyaPeak is capable of robustly improving TFBS detection compared with existing methods. An R package is freely available. PMID:24608116

Illuminating the Background: Topics in Cosmic Microwave Background Polarization Research

NASA Astrophysics Data System (ADS)

Miller, Nathan J.

The cosmic microwave background provides a wealth of information about the origin and history of the universe. The statistics of the anisotropy and the polarization of the cosmic microwave background, among other things, can tell us about the distribution of matter, the redshift of reionization, and the nature of the primordial uctuations. From the lensing of cosmic microwave background due to intervening matter, we can extract information about neutrinos and the equation of state of dark energy. A measurement of the large angular scale B-mode polarization has been called the "smoking gun" of in ation, a theory that describes a possible early rapid expansion of the universe. The focus of current experiments is to measure this B-mode polarization, while several experiments, such as POLARBEAR, are also looking to measure the lensing of the cosmic microwave background. This dissertation will discuss several different topics in cosmic microwave background polarization research. I will make predictions for future experiments and I will also show analysis for two current experiments, POLARBEAR and BICEP. I will show how beam systematics affect the measurement of cosmological parameters and how well we must limit these systematics in order to get unbiased constraints on cosmological parameters for future experiments. I will discuss a novel way of using the temperature-polarization cross correlation to constrain the amount of inflationary gravitational waves. Through Markov Chain Monte Carlo methods, I will determine how well future experiments will be able to constrain the neutrino masses and their degeneracy parameters. I will show results from current data analysis and calibration being done on the Cedar Flat deployment for the POLARBEAR experiment which is currently being constructed in the Atacama desert in Chile. Finally, I will analyze the claim of detection of cosmological birefringence in the BICEP data and show that there is reason to believe it is due to systematic effects in the data.

Performance and Storage Integrity of Dried Blood Spots for PCB, BFR and Pesticide Measurements

PubMed Central

Batterman, Stuart; Chernyak, Sergei

2014-01-01

Dried blood spots (DBS) can provide accurate and valuable estimates of exposure to environmental toxicants, and the use of information derived from archived newborn DBS information has enormous potential to open up new research on the impacts of early chemical exposure on disease. Broad application of DBS for the purpose of quantitative exposure estimation requires robust and validated methods. This study investigates the suitability of DBS analyses for population studies of exposure to three chemical groups: polychlorinated biphenyls (PCBs), brominated flame retardants (BFRs), and chlorinated pesticides. It examines background (matrix) contamination, recovery and extraction variability, sensitivity, and storage stability. DBS samples prepared using 50 μL of adult blood were analyzed by GC/MS, and method performance was confirmed by using certified materials and paired DBS-blood samples from six volunteers. Several of the target compounds and their degradation products have not been previously measured in DBS. All target compounds were detected in DBS samples collected from the volunteers. Sample DBS cards showed background contamination of several compounds. When stored at room temperature, target compounds, excluding PBDEs, were stable for up to one month. When refrigerated or frozen, stability was acceptable for all compounds up to one year, and multiyear storage appears acceptable at colder (e.g., −80 °C) temperatures. Multicompartment models may be used to estimate or correct for storage losses. Considering concentrations of contaminants for adults and children reported in the literature, and experimental values of detection limits and background contamination, DBS samples are suitable for quantifying exposures to many PCBs, BFRs and persistent pesticides. PMID:25058892

Understanding where and why Senegalese adolescents and young adults access health information: A mixed methods study examining contextual and personal influences on health information seeking

PubMed Central

Adams, Rachel M.; Riess, Helene; Massey, Philip M.; Gipson, Jessica D.; Prelip, Michael L.; Dieng, Thierno; Glik, Deborah C.

2018-01-01

Background Adolescent and young adult years are critical to the development of behaviors that influence health across the life course. To reveal which health communication channels should be used to effectively reach and influence younger populations in Senegal, we used a mixed methods approach to identify and interpret the multifaceted influences surrounding where and why this population accesses health information. Methods We conducted 16 focus group discussions among adolescents and young adults in Senegal in September 2012. We then collected survey data from a larger, more diverse sample of Senegalese youth in October–November 2014. Results Our results demonstrate that information sources vary by health topic, differential access, age, and other demographics. While there is a greater perception of credibility and usefulness in information received from health professionals, stigma remains a barrier for obtaining information about HIV/AIDS from health centers. Older youth are also less likely to seek health information from adults, which may be influenced by preferred use of information technologies, especially for information about taboo health topics. Conclusions Our findings support multi-pronged, targeted approaches to health communication efforts. We recommend that doctors continue to provide actionable information about preventing or treating specific diseases, whereas teachers should educate youth about general health topics and health promotion behaviors. The results suggest that traditional mass media, such as radio and television, are the best communication channels for information about HIV and sexual/reproductive health, especially for older adolescents and young adults. PMID:29628992

Enabling the First Ever Measurement of Coherent Neutrino Scattering Through Background Neutron Measurements.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Reyna, David; Betty, Rita

Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation/Completion of Episodic Information - Sandia researchers developed novel methods and metrics for studying the computational function of neurogenesis,thus generating substantial impact to the neuroscience and neural computing communities. This work could benefit applications in machine learning and other analysis activities. The purpose of this project was to computationally model the impact of neural population dynamics within the neurobiological memory system in order to examine how subareas in the brain enable pattern separation and completion of information in memory across time as associated experiences.

[Simulation of speech perception with cochlear implants : Influence of frequency and level of fundamental frequency components with electronic acoustic stimulation].

PubMed

Rader, T; Fastl, H; Baumann, U

2017-03-01

After implantation of cochlear implants with hearing preservation for combined electronic acoustic stimulation (EAS), the residual acoustic hearing ability relays fundamental speech frequency information in the low frequency range. With the help of acoustic simulation of EAS hearing perception the impact of frequency and level fine structure of speech signals can be systematically examined. The aim of this study was to measure the speech reception threshold (SRT) under various noise conditions with acoustic EAS simulation by variation of the frequency and level information of the fundamental frequency f0 of speech. The study was carried out to determine to what extent the SRT is impaired by modification of the f0 fine structure. Using partial tone time pattern analysis an acoustic EAS simulation of the speech material from the Oldenburg sentence test (OLSA) was generated. In addition, determination of the f0 curve of the speech material was conducted. Subsequently, either the parameter frequency or level of f0 was fixed in order to remove one of the two fine contour information of the speech signal. The processed OLSA sentences were used to determine the SRT in background noise under various test conditions. The conditions "f0 fixed frequency" and "f0 fixed level" were tested under two different situations, under "amplitude modulated background noise" and "continuous background noise" conditions. A total of 24 subjects with normal hearing participated in the study. The SRT in background noise for the condition "f0 fixed frequency" was more favorable in continuous noise with 2.7 dB and in modulated noise with 0.8 dB compared to the condition "f0 fixed level" with 3.7 dB and 2.9 dB, respectively. In the simulation of speech perception with cochlear implants and acoustic components, the level information of the fundamental frequency had a stronger impact on speech intelligibility than the frequency information. The method of simulation of transmission of cochlear implants allows investigation of how various parameters influence speech intelligibility in subjects with normal hearing.

A survey of Chinese nurses' guidance to parents in children's postoperative pain relief.

PubMed

He, Hong-Gu; Pölkki, Tarja; Pietilä, Anna-Maija; Vehviläinen-Julkunen, Katri

2005-10-01

The aim of the study was to describe parental guidance provided by Chinese nurses regarding non-pharmacological methods in children's surgical pain relief as well as factors related to this. Parental involvement in children's pain management has been acknowledged and encouraged in recent years. However, parents' lack of related information has been pointed out and little is known about how parents are guided to use non-pharmacological methods to relieve the pain. A previously validated European questionnaire survey was conducted in 2002. Structured questionnaires were distributed to all 187 nurses working at 12 surgical wards in five hospitals of Fujian Province, China. The average response rate was 98%. The results show that nurses informed parents of the majority of cognitive information. The most commonly guided non-pharmacological methods were distraction, positive reinforcement, comforting/reassurance, positioning and relaxation. Nurses' background factors, including age, education, nursing position, professional work experience, number of their own children and experiences of earlier hospitalizations of their children, were significantly related to their perceptions regarding parental guidance. Chinese nurses provided much guidance to parents on non-pharmacological methods. However, the results show that sensory information and physical methods were poorly conveyed to parents, which needs future attention to reinforce parents' active role in pain management. This study provides new information on Chinese nurses' guiding parents to use non-pharmacological methods in pain alleviation, thereby contributing to the body of knowledge on this subject. Furthermore, the study makes the respondents aware of the importance of involving parents in their child's pain management.

Human-Computer Interaction Based on Hand Gestures Using RGB-D Sensors

PubMed Central

Palacios, José Manuel; Sagüés, Carlos; Montijano, Eduardo; Llorente, Sergio

2013-01-01

In this paper we present a new method for hand gesture recognition based on an RGB-D sensor. The proposed approach takes advantage of depth information to cope with the most common problems of traditional video-based hand segmentation methods: cluttered backgrounds and occlusions. The algorithm also uses colour and semantic information to accurately identify any number of hands present in the image. Ten different static hand gestures are recognised, including all different combinations of spread fingers. Additionally, movements of an open hand are followed and 6 dynamic gestures are identified. The main advantage of our approach is the freedom of the user's hands to be at any position of the image without the need of wearing any specific clothing or additional devices. Besides, the whole method can be executed without any initial training or calibration. Experiments carried out with different users and in different environments prove the accuracy and robustness of the method which, additionally, can be run in real-time. PMID:24018953

Leaving the Lecture Behind: Putting PubMed Instruction into the Hands of the Students.

PubMed

Turner, Rose L; M Ketchum, Andrea; Ratajeski, Melissa A; Wessel, Charles B

2017-01-01

This column describes the development of a one-shot PubMed instruction class for medical students at a health sciences library. Background information on the objective is presented and discussed in the context of educational practice literature. The new course design centers on a guided group method of instruction in order to integrate more active learning. Surveyed students reported that the method was an effective way to learn how to search PubMed and that they preferred it to a traditional lecture. Pros and cons of the method are offered for other health sciences libraries interested in presenting PubMed instruction in a similar manner.

Development and operation of NEW-KOTIS : In-house technical information database of Nippon Kokan Corp.

NASA Astrophysics Data System (ADS)

Yagi, Yukio; Takahashi, Kaei

The purpose of this report is to describe how the activities for managing technical information has been and is now being conducted by the Engineering department of Nippon Kokan Corp. In addition, as a practical example of database generation promoted by the department, this book gives whole aspects of the NEW-KOTIS (background of its development, history, features, functional details, control and operation method, use in search operations, and so forth). The NEW-KOTIS (3rd-term system) is an "in-house technical information database system," which started its operation on May, 1987. This database system now contains approximately 65,000 information items (research reports, investigation reports, technical reports, etc.) generated within the company, and this information is available to anyone in any department through the network connecting all the company's structures.

[A graph cuts-based interactive method for segmentation of magnetic resonance images of meningioma].

PubMed

Li, Shuan-qiang; Feng, Qian-jin; Chen, Wu-fan; Lin, Ya-zhong

2011-06-01

For accurate segmentation of the magnetic resonance (MR) images of meningioma, we propose a novel interactive segmentation method based on graph cuts. The high dimensional image features was extracted, and for each pixel, the probabilities of its origin, either the tumor or the background regions, were estimated by exploiting the weighted K-nearest neighborhood classifier. Based on these probabilities, a new energy function was proposed. Finally, a graph cut optimal framework was used for the solution of the energy function. The proposed method was evaluated by application in the segmentation of MR images of meningioma, and the results showed that the method significantly improved the segmentation accuracy compared with the gray level information-based graph cut method.

MADGiC: a model-based approach for identifying driver genes in cancer

PubMed Central

Korthauer, Keegan D.; Kendziorski, Christina

2015-01-01

Motivation: Identifying and prioritizing somatic mutations is an important and challenging area of cancer research that can provide new insights into gene function as well as new targets for drug development. Most methods for prioritizing mutations rely primarily on frequency-based criteria, where a gene is identified as having a driver mutation if it is altered in significantly more samples than expected according to a background model. Although useful, frequency-based methods are limited in that all mutations are treated equally. It is well known, however, that some mutations have no functional consequence, while others may have a major deleterious impact. The spatial pattern of mutations within a gene provides further insight into their functional consequence. Properly accounting for these factors improves both the power and accuracy of inference. Also important is an accurate background model. Results: Here, we develop a Model-based Approach for identifying Driver Genes in Cancer (termed MADGiC) that incorporates both frequency and functional impact criteria and accommodates a number of factors to improve the background model. Simulation studies demonstrate advantages of the approach, including a substantial increase in power over competing methods. Further advantages are illustrated in an analysis of ovarian and lung cancer data from The Cancer Genome Atlas (TCGA) project. Availability and implementation: R code to implement this method is available at http://www.biostat.wisc.edu/ kendzior/MADGiC/. Contact: kendzior@biostat.wisc.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:25573922

Video calls from lay bystanders to dispatch centers - risk assessment of information security

PubMed Central

2011-01-01

Background Video calls from mobile phones can improve communication during medical emergencies. Lay bystanders can be instructed and supervised by health professionals at Emergency Medical Communication Centers. Before implementation of video mobile calls in emergencies, issues of information security should be addressed. Methods Information security was assessed for risk, based on the information security standard ISO/IEC 27005:2008. A multi-professional team used structured brainstorming to find threats to the information security aspects confidentiality, quality, integrity, and availability. Results Twenty security threats of different risk levels were identified and analyzed. Solutions were proposed to reduce the risk level. Conclusions Given proper implementation, we found no risks to information security that would advocate against the use of video calls between lay bystanders and Emergency Medical Communication Centers. The identified threats should be used as input to formal requirements when planning and implementing video calls from mobile phones for these call centers. PMID:21958387

New results and techniques in space radio astronomy.

NASA Technical Reports Server (NTRS)

Alexander, J. K.

1971-01-01

The methods and results of early space radioastronomy experiments are reviewed, with emphasis on the RAE 1 spacecraft which was designed specifically and exclusively for radio astronomical studies. The RAE 1 carries two gravity-gradient-stabilized 229-m traveling-wave V-antennas, a 37-m dipole antenna, and a number of radiometer systems to provide measurements over the 0.2 to 9.2 MHz frequency range with a time resolution of 0.5 sec and an absolute accuracy of plus or minus 25%. Observations of solar bursts at frequencies down to 0.2 MHz provide new information on the density, plasma velocity, and dynamics of coronal streamers out to distances greater than 50 solar radii. New information on the distribution of the ionized component of the interstellar medium is being obtained from galactic continuum background maps at frequencies around 4 MHz. Cosmic noise background spectra measured down to 0.5 MHz produce new estimates on the interstellar flux of cosmic rays, on magnetic fields in the galactic halo, and on distant extragalactic radio sources.

Semi-automatic segmentation of brain tumors using population and individual information.

PubMed

Wu, Yao; Yang, Wei; Jiang, Jun; Li, Shuanqian; Feng, Qianjin; Chen, Wufan

2013-08-01

Efficient segmentation of tumors in medical images is of great practical importance in early diagnosis and radiation plan. This paper proposes a novel semi-automatic segmentation method based on population and individual statistical information to segment brain tumors in magnetic resonance (MR) images. First, high-dimensional image features are extracted. Neighborhood components analysis is proposed to learn two optimal distance metrics, which contain population and patient-specific information, respectively. The probability of each pixel belonging to the foreground (tumor) and the background is estimated by the k-nearest neighborhood classifier under the learned optimal distance metrics. A cost function for segmentation is constructed through these probabilities and is optimized using graph cuts. Finally, some morphological operations are performed to improve the achieved segmentation results. Our dataset consists of 137 brain MR images, including 68 for training and 69 for testing. The proposed method overcomes segmentation difficulties caused by the uneven gray level distribution of the tumors and even can get satisfactory results if the tumors have fuzzy edges. Experimental results demonstrate that the proposed method is robust to brain tumor segmentation.

Improved Discrete Approximation of Laplacian of Gaussian

NASA Technical Reports Server (NTRS)

Shuler, Robert L., Jr.

2004-01-01

An improved method of computing a discrete approximation of the Laplacian of a Gaussian convolution of an image has been devised. The primary advantage of the method is that without substantially degrading the accuracy of the end result, it reduces the amount of information that must be processed and thus reduces the amount of circuitry needed to perform the Laplacian-of- Gaussian (LOG) operation. Some background information is necessary to place the method in context. The method is intended for application to the LOG part of a process of real-time digital filtering of digitized video data that represent brightnesses in pixels in a square array. The particular filtering process of interest is one that converts pixel brightnesses to binary form, thereby reducing the amount of information that must be performed in subsequent correlation processing (e.g., correlations between images in a stereoscopic pair for determining distances or correlations between successive frames of the same image for detecting motions). The Laplacian is often included in the filtering process because it emphasizes edges and textures, while the Gaussian is often included because it smooths out noise that might not be consistent between left and right images or between successive frames of the same image.

Beyond the Classroom: The Impact of Informal STEM Experiences on Student Attitudes and Interest

NASA Astrophysics Data System (ADS)

Scinski, Lidia

A lack of social capital can be a critical factor impeding underrepresented minority (URM) students from obtaining the mathematical and scientific background required to achieve educational and career success in STEM fields. In this study, the effects of generating and utilizing social capital within an informal STEM outreach summer camp are examined as resources in strengthening the academic pipeline for Hispanic students towards careers in STEM. Empirical studies have shown that economically disadvantaged and minority students experience larger learning losses during "unschooled" periods of time than their middle-class and White counterparts. The "faucet theory" explains how the achievement gap widens during unschooled periods of time when the resource faucet is turned off and families of students from disadvantaged backgrounds are unable to make up for these resources. Consequently, minority and students of disadvantaged backgrounds are quickly shortcircuited in taking advantage of opportunities to pursue careers in STEM fields. To address the research questions, this study employed a qualitative research design, specifically an instrumental case study design using mixed methods within a bounded program. The methods included multiple measures to collect and analyze data from focus group interviews, electronic documents, observations, and survey administrations. The sample population included forty-nine Hispanic 7th and 8th grade students from middle schools in San Diego County. Results of the study demonstrated that the informal STEM outreach summer camp positively impacted Hispanic students and increased interest and attitudes toward STEM choices. STEM programs offered during out-of-school time need to be relationship based to support young students' social and emotional development (Goldstein, Lee, & Chung, 2010). The resource faucet continued to flow during the summer for iQUEST science camp participants because they were able to tap into social capital in the surrounding community. More specifically, participants were able to generate social capital in two key forms of institutional support: "funds of knowledge" and "emotional and moral support".

Parents' information needs, self-efficacy and influences on consulting for childhood respiratory tract infections: a qualitative study.

PubMed

Ingram, Jenny; Cabral, Christie; Hay, Alastair D; Lucas, Patricia J; Horwood, Jeremy

2013-07-28

Acute respiratory tract infection (RTI) is the most common reason why parents consult primary care in the UK. Little is known about parents' perceptions of what may help them to make an appropriate decision to consult when their child is ill and how to improve self-care.Using qualitative methods, this study aimed to explore parents' views on support and information needs prior to consulting when children have RTIs with cough, and identify the triggers and barriers to consulting primary care. 7 focus groups and 30 semi-structured interviews were held with 60 parents (with children aged 5 months - 17 years) from a range of socio-economic backgrounds. Topics discussed were informed by the Health Belief Model, and explored parents' concerns and beliefs about susceptibility and severity of RTIs, beliefs about the triggers and barriers to consulting, and information and support seeking behaviour undertaken before consulting primary care. Discussions were audio-recorded, transcribed and analysed using thematic methods. Parents from all socio-economic backgrounds sought information from a wide range of sources about RTIs in children in order to identify which of their child's symptoms should be of concern and trigger a visit to the doctor. The perception of threat to a child of RTI (with cough) was increased with more severe illness and by perceived susceptibility to illness of a particular child; whilst experience with other children increased parental efficacy to cope with childhood cough at home. Psychological models of health behaviour informed the understanding of cultural beliefs and attitudes that underpin health related behaviours. A wide range of perceptions influence the likelihood that parents will seek help from primary care for a child with cough; these perceptions are similar across socio-economic groups. Parents' experience, confidence and efficacy influence the likelihood of consulting primary care for their child's RTI. Parents would value consistent advice from a trusted source that addresses common concerns and supports home care and decision making about help seeking.

Information exchange networks for chronic illness care in primary care practices: an observational study

PubMed Central

2010-01-01

Background Information exchange networks for chronic illness care may influence the uptake of innovations in patient care. Valid and feasible methods are needed to document and analyse information exchange networks in healthcare settings. This observational study aimed to examine the usefulness of methods to study information exchange networks in primary care practices, related to chronic heart failure, diabetes and chronic obstructive pulmonary disease. Methods The study was linked to a quality improvement project in the Netherlands. All health professionals in the practices were asked to complete a short questionnaire that documented their information exchange relations. Feasibility was determined in terms of response rates and reliability in terms of reciprocity of reports of receiving and providing information. For each practice, a number of network characteristics were derived for each of the chronic conditions. Results Ten of the 21 practices in the quality improvement project agreed to participate in this network study. The response rates were high in all but one of the participating practices. For the analysis, we used data from 67 health professionals from eight practices. The agreement between receiving and providing information was, on average, 65.6%. The values for density, centralization, hierarchy, and overlap of the information exchange networks showed substantial variation between the practices as well as between the chronic conditions. The most central individual in the information exchange network could be a nurse or a physician. Conclusions Further research is needed to refine the measure of information networks and to test the impact of network characteristics on the uptake of innovations. PMID:20205758

Black Officer Accession and Retention

DTIC Science & Technology

1980-05-15

of Historically Black educational institutions. FACT. Provided for information at inclosure 1 is correspondence frcm HQ DA outlining the...CHAPTER I. INTRODUCTION ............... ....................... 1 Background Information ...INTRODUCTION BACKGROUND INFORMATION A gro’np of black students from the US Army War College Class of 󈨓, reached the conclusion that black officers were

Improving informed consent: Stakeholder views

PubMed Central

Anderson, Emily E.; Newman, Susan B.; Matthews, Alicia K.

2017-01-01

Purpose Innovation will be required to improve the informed consent process in research. We aimed to obtain input from key stakeholders—research participants and those responsible for obtaining informed consent—to inform potential development of a multimedia informed consent “app.” Methods This descriptive study used a mixed-methods approach. Five 90-minute focus groups were conducted with volunteer samples of former research participants and researchers/research staff responsible for obtaining informed consent. Participants also completed a brief survey that measured background information and knowledge and attitudes regarding research and the use of technology. Established qualitative methods were used to conduct the focus groups and data analysis. Results We conducted five focus groups with 41 total participants: three groups with former research participants (total n = 22), and two groups with researchers and research coordinators (total n = 19). Overall, individuals who had previously participated in research had positive views regarding their experiences. However, further discussion elicited that the informed consent process often did not meet its intended objectives. Findings from both groups are presented according to three primary themes: content of consent forms, experience of the informed consent process, and the potential of technology to improve the informed consent process. A fourth theme, need for lay input on informed consent, emerged from the researcher groups. Conclusions Our findings add to previous research that suggests that the use of interactive technology has the potential to improve the process of informed consent. However, our focus-group findings provide additional insight that technology cannot replace the human connection that is central to the informed consent process. More research that incorporates the views of key stakeholders is needed to ensure that multimedia consent processes do not repeat the mistakes of paper-based consent forms. PMID:28949896

Clustering-based spot segmentation of cDNA microarray images.

PubMed

Uslan, Volkan; Bucak, Ihsan Ömür

2010-01-01

Microarrays are utilized as that they provide useful information about thousands of gene expressions simultaneously. In this study segmentation step of microarray image processing has been implemented. Clustering-based methods, fuzzy c-means and k-means, have been applied for the segmentation step that separates the spots from the background. The experiments show that fuzzy c-means have segmented spots of the microarray image more accurately than the k-means.

A Sparsity-based Framework for Resolution Enhancement in Optical Fault Analysis of Integrated Circuits

DTIC Science & Technology

2015-01-01

for IC fault detection . This section provides background information on inversion methods. Conventional inversion techniques and their shortcomings are...physical techniques, electron beam imaging/analysis, ion beam techniques, scanning probe techniques. Electrical tests are used to detect faults in 13 an...hand, there is also the second harmonic technique through which duty cycle degradation faults are detected by collecting the magnitude and the phase of

A Theory-Informed Qualitative Exploration of Social and Environmental Determinants of Physical Activity and Dietary Choices in Adolescents with Intellectual Disabilities in Their Final Year of School

ERIC Educational Resources Information Center

Stevens, Gemma; Jahoda, Andrew; Matthews, Lynsay; Hankey, Catherine; Melville, Craig; Murray, Heather; Mitchell, Fiona

2018-01-01

Background: The prevalence of obesity is higher in those with intellectual disabilities than the general population. The aim of the study was to understand the determinants of physical activity and dietary patterns in this population during their final year of school. Method: Qualitative data were generated from 10 interviews with adolescents with…

Basics of Bayesian methods.

PubMed

Ghosh, Sujit K

2010-01-01

Bayesian methods are rapidly becoming popular tools for making statistical inference in various fields of science including biology, engineering, finance, and genetics. One of the key aspects of Bayesian inferential method is its logical foundation that provides a coherent framework to utilize not only empirical but also scientific information available to a researcher. Prior knowledge arising from scientific background, expert judgment, or previously collected data is used to build a prior distribution which is then combined with current data via the likelihood function to characterize the current state of knowledge using the so-called posterior distribution. Bayesian methods allow the use of models of complex physical phenomena that were previously too difficult to estimate (e.g., using asymptotic approximations). Bayesian methods offer a means of more fully understanding issues that are central to many practical problems by allowing researchers to build integrated models based on hierarchical conditional distributions that can be estimated even with limited amounts of data. Furthermore, advances in numerical integration methods, particularly those based on Monte Carlo methods, have made it possible to compute the optimal Bayes estimators. However, there is a reasonably wide gap between the background of the empirically trained scientists and the full weight of Bayesian statistical inference. Hence, one of the goals of this chapter is to bridge the gap by offering elementary to advanced concepts that emphasize linkages between standard approaches and full probability modeling via Bayesian methods.

The Impacts of Heating Strategy on Soil Moisture Estimation Using Actively Heated Fiber Optics.

PubMed

Dong, Jianzhi; Agliata, Rosa; Steele-Dunne, Susan; Hoes, Olivier; Bogaard, Thom; Greco, Roberto; van de Giesen, Nick

2017-09-13

Several recent studies have highlighted the potential of Actively Heated Fiber Optics (AHFO) for high resolution soil moisture mapping. In AHFO, the soil moisture can be calculated from the cumulative temperature ( T cum ), the maximum temperature ( T max ), or the soil thermal conductivity determined from the cooling phase after heating ( λ ). This study investigates the performance of the T cum , T max and λ methods for different heating strategies, i.e., differences in the duration and input power of the applied heat pulse. The aim is to compare the three approaches and to determine which is best suited to field applications where the power supply is limited. Results show that increasing the input power of the heat pulses makes it easier to differentiate between dry and wet soil conditions, which leads to an improved accuracy. Results suggest that if the power supply is limited, the heating strength is insufficient for the λ method to yield accurate estimates. Generally, the T cum and T max methods have similar accuracy. If the input power is limited, increasing the heat pulse duration can improve the accuracy of the AHFO method for both of these techniques. In particular, extending the heating duration can significantly increase the sensitivity of T cum to soil moisture. Hence, the T cum method is recommended when the input power is limited. Finally, results also show that up to 50% of the cable temperature change during the heat pulse can be attributed to soil background temperature, i.e., soil temperature changed by the net solar radiation. A method is proposed to correct this background temperature change. Without correction, soil moisture information can be completely masked by the background temperature error.

The Impacts of Heating Strategy on Soil Moisture Estimation Using Actively Heated Fiber Optics

PubMed Central

Dong, Jianzhi; Agliata, Rosa; Steele-Dunne, Susan; Hoes, Olivier; Bogaard, Thom; Greco, Roberto; van de Giesen, Nick

2017-01-01

Several recent studies have highlighted the potential of Actively Heated Fiber Optics (AHFO) for high resolution soil moisture mapping. In AHFO, the soil moisture can be calculated from the cumulative temperature (Tcum), the maximum temperature (Tmax), or the soil thermal conductivity determined from the cooling phase after heating (λ). This study investigates the performance of the Tcum, Tmax and λ methods for different heating strategies, i.e., differences in the duration and input power of the applied heat pulse. The aim is to compare the three approaches and to determine which is best suited to field applications where the power supply is limited. Results show that increasing the input power of the heat pulses makes it easier to differentiate between dry and wet soil conditions, which leads to an improved accuracy. Results suggest that if the power supply is limited, the heating strength is insufficient for the λ method to yield accurate estimates. Generally, the Tcum and Tmax methods have similar accuracy. If the input power is limited, increasing the heat pulse duration can improve the accuracy of the AHFO method for both of these techniques. In particular, extending the heating duration can significantly increase the sensitivity of Tcum to soil moisture. Hence, the Tcum method is recommended when the input power is limited. Finally, results also show that up to 50% of the cable temperature change during the heat pulse can be attributed to soil background temperature, i.e., soil temperature changed by the net solar radiation. A method is proposed to correct this background temperature change. Without correction, soil moisture information can be completely masked by the background temperature error. PMID:28902141

US Fish and Wildlife Service biomonitoring operations manual, Appendices A--K

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gianotto, D.F.; Rope, R.C.; Mondecar, M.

1993-04-01

Volume 2 contains Appendices and Summary Sheets for the following areas: A-Legislative Background and Key to Relevant Legislation, B- Biomonitoring Operations Workbook, C-Air Monitoring, D-Introduction to the Flora and Fauna for Biomonitoring, E-Decontamination Guidance Reference Field Methods, F-Documentation Guidance, Sample Handling, and Quality Assurance/Quality Control Standard Operating Procedures, G-Field Instrument Measurements Reference Field Methods, H-Ground Water Sampling Reference Field Methods, I-Sediment Sampling Reference Field Methods, J-Soil Sampling Reference Field Methods, K-Surface Water Reference Field Methods. Appendix B explains how to set up strategy to enter information on the ``disk workbook``. Appendix B is enhanced by DE97006389, an on-line workbook formore » users to be able to make revisions to their own biomonitoring data.« less

Identifying strategies to improve access to credible and relevant information for public health professionals: a qualitative study

PubMed Central

LaPelle, Nancy R; Luckmann, Roger; Simpson, E Hatheway; Martin, Elaine R

2006-01-01

Background Movement towards evidence-based practices in many fields suggests that public health (PH) challenges may be better addressed if credible information about health risks and effective PH practices is readily available. However, research has shown that many PH information needs are unmet. In addition to reviewing relevant literature, this study performed a comprehensive review of existing information resources and collected data from two representative PH groups, focusing on identifying current practices, expressed information needs, and ideal systems for information access. Methods Nineteen individual interviews were conducted among employees of two domains in a state health department – communicable disease control and community health promotion. Subsequent focus groups gathered additional data on preferences for methods of information access and delivery as well as information format and content. Qualitative methods were used to identify themes in the interview and focus group transcripts. Results Informants expressed similar needs for improved information access including single portal access with a good search engine; automatic notification regarding newly available information; access to best practice information in many areas of interest that extend beyond biomedical subject matter; improved access to grey literature as well as to more systematic reviews, summaries, and full-text articles; better methods for indexing, filtering, and searching for information; and effective ways to archive information accessed. Informants expressed a preference for improving systems with which they were already familiar such as PubMed and listservs rather than introducing new systems of information organization and delivery. A hypothetical ideal model for information organization and delivery was developed based on informants' stated information needs and preferred means of delivery. Features of the model were endorsed by the subjects who reviewed it. Conclusion Many critical information needs of PH practitioners are not being met efficiently or at all. We propose a dual strategy of: 1) promoting incremental improvements in existing information delivery systems based on the expressed preferences of the PH users of the systems and 2) the concurrent development and rigorous evaluation of new models of information organization and delivery that draw on successful resources already operating to deliver information to clinical medical practitioners. PMID:16597331

Directional Histogram Ratio at Random Probes: A Local Thresholding Criterion for Capillary Images

PubMed Central

Lu, Na; Silva, Jharon; Gu, Yu; Gerber, Scott; Wu, Hulin; Gelbard, Harris; Dewhurst, Stephen; Miao, Hongyu

2013-01-01

With the development of micron-scale imaging techniques, capillaries can be conveniently visualized using methods such as two-photon and whole mount microscopy. However, the presence of background staining, leaky vessels and the diffusion of small fluorescent molecules can lead to significant complexity in image analysis and loss of information necessary to accurately quantify vascular metrics. One solution to this problem is the development of accurate thresholding algorithms that reliably distinguish blood vessels from surrounding tissue. Although various thresholding algorithms have been proposed, our results suggest that without appropriate pre- or post-processing, the existing approaches may fail to obtain satisfactory results for capillary images that include areas of contamination. In this study, we propose a novel local thresholding algorithm, called directional histogram ratio at random probes (DHR-RP). This method explicitly considers the geometric features of tube-like objects in conducting image binarization, and has a reliable performance in distinguishing small vessels from either clean or contaminated background. Experimental and simulation studies suggest that our DHR-RP algorithm is superior over existing thresholding methods. PMID:23525856

Quantitative Proteomics via High Resolution MS Quantification: Capabilities and Limitations

PubMed Central

Higgs, Richard E.; Butler, Jon P.; Han, Bomie; Knierman, Michael D.

2013-01-01

Recent improvements in the mass accuracy and resolution of mass spectrometers have led to renewed interest in label-free quantification using data from the primary mass spectrum (MS1) acquired from data-dependent proteomics experiments. The capacity for higher specificity quantification of peptides from samples enriched for proteins of biological interest offers distinct advantages for hypothesis generating experiments relative to immunoassay detection methods or prespecified peptide ions measured by multiple reaction monitoring (MRM) approaches. Here we describe an evaluation of different methods to post-process peptide level quantification information to support protein level inference. We characterize the methods by examining their ability to recover a known dilution of a standard protein in background matrices of varying complexity. Additionally, the MS1 quantification results are compared to a standard, targeted, MRM approach on the same samples under equivalent instrument conditions. We show the existence of multiple peptides with MS1 quantification sensitivity similar to the best MRM peptides for each of the background matrices studied. Based on these results we provide recommendations on preferred approaches to leveraging quantitative measurements of multiple peptides to improve protein level inference. PMID:23710359

A Computational Tool to Detect and Avoid Redundancy in Selected Reaction Monitoring

PubMed Central

Röst, Hannes; Malmström, Lars; Aebersold, Ruedi

2012-01-01

Selected reaction monitoring (SRM), also called multiple reaction monitoring, has become an invaluable tool for targeted quantitative proteomic analyses, but its application can be compromised by nonoptimal selection of transitions. In particular, complex backgrounds may cause ambiguities in SRM measurement results because peptides with interfering transitions similar to those of the target peptide may be present in the sample. Here, we developed a computer program, the SRMCollider, that calculates nonredundant theoretical SRM assays, also known as unique ion signatures (UIS), for a given proteomic background. We show theoretically that UIS of three transitions suffice to conclusively identify 90% of all yeast peptides and 85% of all human peptides. Using predicted retention times, the SRMCollider also simulates time-scheduled SRM acquisition, which reduces the number of interferences to consider and leads to fewer transitions necessary to construct an assay. By integrating experimental fragment ion intensities from large scale proteome synthesis efforts (SRMAtlas) with the information content-based UIS, we combine two orthogonal approaches to create high quality SRM assays ready to be deployed. We provide a user friendly, open source implementation of an algorithm to calculate UIS of any order that can be accessed online at http://www.srmcollider.org to find interfering transitions. Finally, our tool can also simulate the specificity of novel data-independent MS acquisition methods in Q1–Q3 space. This allows us to predict parameters for these methods that deliver a specificity comparable with that of SRM. Using SRM interference information in addition to other sources of information can increase the confidence in an SRM measurement. We expect that the consideration of information content will become a standard step in SRM assay design and analysis, facilitated by the SRMCollider. PMID:22535207

Extracting information from the text of electronic medical records to improve case detection: a systematic review

PubMed Central

Carroll, John A; Smith, Helen E; Scott, Donia; Cassell, Jackie A

2016-01-01

Background Electronic medical records (EMRs) are revolutionizing health-related research. One key issue for study quality is the accurate identification of patients with the condition of interest. Information in EMRs can be entered as structured codes or unstructured free text. The majority of research studies have used only coded parts of EMRs for case-detection, which may bias findings, miss cases, and reduce study quality. This review examines whether incorporating information from text into case-detection algorithms can improve research quality. Methods A systematic search returned 9659 papers, 67 of which reported on the extraction of information from free text of EMRs with the stated purpose of detecting cases of a named clinical condition. Methods for extracting information from text and the technical accuracy of case-detection algorithms were reviewed. Results Studies mainly used US hospital-based EMRs, and extracted information from text for 41 conditions using keyword searches, rule-based algorithms, and machine learning methods. There was no clear difference in case-detection algorithm accuracy between rule-based and machine learning methods of extraction. Inclusion of information from text resulted in a significant improvement in algorithm sensitivity and area under the receiver operating characteristic in comparison to codes alone (median sensitivity 78% (codes + text) vs 62% (codes), P = .03; median area under the receiver operating characteristic 95% (codes + text) vs 88% (codes), P = .025). Conclusions Text in EMRs is accessible, especially with open source information extraction algorithms, and significantly improves case detection when combined with codes. More harmonization of reporting within EMR studies is needed, particularly standardized reporting of algorithm accuracy metrics like positive predictive value (precision) and sensitivity (recall). PMID:26911811

Measurement of the Electroweak Single Top Quark Production Cross Section and the CKM Matrix Element $$|V_{tb}|$$ at CDF Run II

DOE Office of Scientific and Technical Information (OSTI.GOV)

Larana, Bruno Casal

2010-01-01

The establishment of the electroweak single top quark production at CDF is experimentally challenging. The small single top signal hidden under large uncertain background processes makes it necessary an excellent understanding of the detector and a detailed study of the processes involved. Moreover, simple counting experiments are not sufficient to extract enough information from the candidate event sample and multivariate analysis techniques are crucial to distinguish signal from background. This thesis presents the world’s most sensitive individual search, together with CDF’s Neural Network analysis, for the combined s- and t-channel single top production. This analysis uses a dataset that correspondsmore » to an integrated luminosity of 3.2fb -1, and is based on a Boosted Decision Tree method that combines information from several input variables to construct a final powerful discriminant, reaching a sensitivity to the combined single top quark production equivalent to 5.2σ. The measured combined single top quark production cross section is 2.1 +0.7 -0.6 pb assuming a top quark mass of 175 GeV/c 2. The probability that this result comes from a background-only fluctuation (p-value) is 0.0002, which corresponds to 3.5σ.« less

The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings

PubMed Central

Sun, Peng; Liao, Yuhe; Lin, Jin

2017-01-01

The properties of the time domain parameters of vibration signals have been extensively studied for the fault diagnosis of rolling element bearings (REBs). Parameters like kurtosis and Envelope Harmonic-to-Noise Ratio are the most widely applied in this field and some important progress has been made. However, since only one-sided information is contained in these parameters, problems still exist in practice when the signals collected are of complicated structure and/or contaminated by strong background noises. A new parameter, named Shock Pulse Index (SPI), is proposed in this paper. It integrates the mutual advantages of both the parameters mentioned above and can help effectively identify fault-related impulse components under conditions of interference of strong background noises, unrelated harmonic components and random impulses. The SPI optimizes the parameters of Maximum Correlated Kurtosis Deconvolution (MCKD), which is used to filter the signals under consideration. Finally, the transient information of interest contained in the filtered signal can be highlighted through demodulation with the Teager Energy Operator (TEO). Fault-related impulse components can therefore be extracted accurately. Simulations show the SPI can correctly indicate the fault impulses under the influence of strong background noises, other harmonic components and aperiodic impulse and experiment analyses verify the effectiveness and correctness of the proposed method. PMID:28282883

A fast and robust iterative algorithm for prediction of RNA pseudoknotted secondary structures

PubMed Central

2014-01-01

Background Improving accuracy and efficiency of computational methods that predict pseudoknotted RNA secondary structures is an ongoing challenge. Existing methods based on free energy minimization tend to be very slow and are limited in the types of pseudoknots that they can predict. Incorporating known structural information can improve prediction accuracy; however, there are not many methods for prediction of pseudoknotted structures that can incorporate structural information as input. There is even less understanding of the relative robustness of these methods with respect to partial information. Results We present a new method, Iterative HFold, for pseudoknotted RNA secondary structure prediction. Iterative HFold takes as input a pseudoknot-free structure, and produces a possibly pseudoknotted structure whose energy is at least as low as that of any (density-2) pseudoknotted structure containing the input structure. Iterative HFold leverages strengths of earlier methods, namely the fast running time of HFold, a method that is based on the hierarchical folding hypothesis, and the energy parameters of HotKnots V2.0. Our experimental evaluation on a large data set shows that Iterative HFold is robust with respect to partial information, with average accuracy on pseudoknotted structures steadily increasing from roughly 54% to 79% as the user provides up to 40% of the input structure. Iterative HFold is much faster than HotKnots V2.0, while having comparable accuracy. Iterative HFold also has significantly better accuracy than IPknot on our HK-PK and IP-pk168 data sets. Conclusions Iterative HFold is a robust method for prediction of pseudoknotted RNA secondary structures, whose accuracy with more than 5% information about true pseudoknot-free structures is better than that of IPknot, and with about 35% information about true pseudoknot-free structures compares well with that of HotKnots V2.0 while being significantly faster. Iterative HFold and all data used in this work are freely available at http://www.cs.ubc.ca/~hjabbari/software.php. PMID:24884954

From observational to analytical morphology of the stratum corneum: progress avoiding hazardous animal and human testings

PubMed Central

Piérard, Gérald E; Courtois, Justine; Ritacco, Caroline; Humbert, Philippe; Fanian, Ferial; Piérard-Franchimont, Claudine

2015-01-01

Background In cosmetic science, noninvasive sampling of the upper part of the stratum corneum is conveniently performed using strippings with adhesive-coated discs (SACD) and cyanoacrylate skin surface strippings (CSSSs). Methods Under controlled conditions, it is possible to scrutinize SACD and CSSS with objectivity using appropriate methods of analytical morphology. These procedures apply to a series of clinical conditions including xerosis grading, comedometry, corneodynamics, corneomelametry, corneosurfametry, corneoxenometry, and dandruff assessment. Results With any of the analytical evaluations, SACD and CSSS provide specific salient information that is useful in the field of cosmetology. In particular, both methods appear valuable and complementary in assessing the human skin compatibility of personal skincare products. Conclusion A set of quantitative analytical methods applicable to the minimally invasive and low-cost SACD and CSSS procedures allow for a sound assessment of cosmetic effects on the stratum corneum. Under regular conditions, both methods are painless and do not induce adverse events. Globally, CSSS appears more precise and informative than the regular SACD stripping. PMID:25767402

Mapping gravitational-wave backgrounds using methods from CMB analysis: Application to pulsar timing arrays

NASA Astrophysics Data System (ADS)

Gair, Jonathan; Romano, Joseph D.; Taylor, Stephen; Mingarelli, Chiara M. F.

2014-10-01

We describe an alternative approach to the analysis of gravitational-wave backgrounds, based on the formalism used to characterize the polarization of the cosmic microwave background. In contrast to standard analyses, this approach makes no assumptions about the nature of the background and so has the potential to reveal much more about the physical processes that generated it. An arbitrary background can be decomposed into modes whose angular dependence on the sky is given by gradients and curls of spherical harmonics. We derive the pulsar timing overlap reduction functions for the individual modes, which are given by simple combinations of spherical harmonics evaluated at the pulsar locations. We show how these can be used to recover the components of an arbitrary background, giving explicit results for both isotropic and anisotropic uncorrelated backgrounds. We also find that the response of a pulsar timing array to curl modes is identically zero, so half of the gravitational-wave sky will never be observed using pulsar timing, no matter how many pulsars are included in the array. An isotropic, unpolarized and uncorrelated background can be accurately represented using only three modes, and so a search of this type will be only slightly more complicated than the standard cross-correlation search using the Hellings and Downs overlap reduction function. However, by measuring the components of individual modes of the background and checking for consistency with isotropy, this approach has the potential to reveal much more information. Each individual mode on its own describes a background that is correlated between different points on the sky. A measurement of the components that indicates the presence of correlations in the background on large angular scales would suggest startling new physics.

Task–Technology Fit of Video Telehealth for Nurses in an Outpatient Clinic Setting

PubMed Central

Finkelstein, Stanley M.

2014-01-01

Abstract Background: Incorporating telehealth into outpatient care delivery supports management of consumer health between clinic visits. Task–technology fit is a framework for understanding how technology helps and/or hinders a person during work processes. Evaluating the task–technology fit of video telehealth for personnel working in a pediatric outpatient clinic and providing care between clinic visits ensures the information provided matches the information needed to support work processes. Materials and Methods: The workflow of advanced practice registered nurse (APRN) care coordination provided via telephone and video telehealth was described and measured using a mixed-methods workflow analysis protocol that incorporated cognitive ethnography and time–motion study. Qualitative and quantitative results were merged and analyzed within the task–technology fit framework to determine the workflow fit of video telehealth for APRN care coordination. Results: Incorporating video telehealth into APRN care coordination workflow provided visual information unavailable during telephone interactions. Despite additional tasks and interactions needed to obtain the visual information, APRN workflow efficiency, as measured by time, was not significantly changed. Analyzed within the task–technology fit framework, the increased visual information afforded by video telehealth supported the assessment and diagnostic information needs of the APRN. Conclusions: Telehealth must provide the right information to the right clinician at the right time. Evaluating task–technology fit using a mixed-methods protocol ensured rigorous analysis of fit within work processes and identified workflows that benefit most from the technology. PMID:24841219

Students Seeking Access to Four-Year Institutions: Community College Transfers [Background Information].

ERIC Educational Resources Information Center

Moore, Jamillah

This publication provides background information for a hearing by the California Senate Select Committee on Higher Education and Outreach on December 3, 1997. The Introduction presents the Committee announcement, press release, agenda, information about transfer efforts in California, facts and figures about the community colleges, and the text of…

Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse

PubMed Central

2013-01-01

Background Effective population sizes of 140 populations (including 60 dog breeds, 40 sheep breeds, 20 cattle breeds and 20 horse breeds) were computed using pedigree information and six different computation methods. Simple demographical information (number of breeding males and females), variance of progeny size, or evolution of identity by descent probabilities based on coancestry or inbreeding were used as well as identity by descent rate between two successive generations or individual identity by descent rate. Results Depending on breed and method, effective population sizes ranged from 15 to 133 056, computation method and interaction between computation method and species showing a significant effect on effective population size (P < 0.0001). On average, methods based on number of breeding males and females and variance of progeny size produced larger values (4425 and 356, respectively), than those based on identity by descent probabilities (average values between 93 and 203). Since breeding practices and genetic substructure within dog breeds increased inbreeding, methods taking into account the evolution of inbreeding produced lower effective population sizes than those taking into account evolution of coancestry. The correlation level between the simplest method (number of breeding males and females, requiring no genealogical information) and the most sophisticated one ranged from 0.44 to 0.60 according to species. Conclusions When choosing a method to compute effective population size, particular attention should be paid to the species and the specific genetic structure of the population studied. PMID:23281913

Generating unique IDs from patient identification data using security models

PubMed Central

Mohammed, Emad A.; Slack, Jonathan C.; Naugler, Christopher T.

2016-01-01

Background: The use of electronic health records (EHRs) has continued to increase within healthcare systems in the developed and developing nations. EHRs allow for increased patient safety, grant patients easier access to their medical records, and offer a wealth of data to researchers. However, various bioethical, financial, logistical, and information security considerations must be addressed while transitioning to an EHR system. The need to encrypt private patient information for data sharing is one of the foremost challenges faced by health information technology. Method: We describe the usage of the message digest-5 (MD5) and secure hashing algorithm (SHA) as methods for encrypting electronic medical data. In particular, we present an application of the MD5 and SHA-1 algorithms in encrypting a composite message from private patient information. Results: The results show that the composite message can be used to create a unique one-way encrypted ID per patient record that can be used for data sharing. Conclusion: The described software tool can be used to share patient EMRs between practitioners without revealing patients identifiable data. PMID:28163977

Improvement of Accuracy for Background Noise Estimation Method Based on TPE-AE

NASA Astrophysics Data System (ADS)

Itai, Akitoshi; Yasukawa, Hiroshi

This paper proposes a method of a background noise estimation based on the tensor product expansion with a median and a Monte carlo simulation. We have shown that a tensor product expansion with absolute error method is effective to estimate a background noise, however, a background noise might not be estimated by using conventional method properly. In this paper, it is shown that the estimate accuracy can be improved by using proposed methods.

An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes

PubMed Central

2013-01-01

Background Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data for cancer classification. Many computational methods face difficulties in selecting small subsets due to the small number of samples compared to the huge number of genes (high-dimension), irrelevant genes, and noisy genes. Methods We propose an enhanced binary particle swarm optimization to perform the selection of small subsets of informative genes which is significant for cancer classification. Particle speed, rule, and modified sigmoid function are introduced in this proposed method to increase the probability of the bits in a particle’s position to be zero. The method was empirically applied to a suite of ten well-known benchmark gene expression data sets. Results The performance of the proposed method proved to be superior to other previous related works, including the conventional version of binary particle swarm optimization (BPSO) in terms of classification accuracy and the number of selected genes. The proposed method also requires lower computational time compared to BPSO. PMID:23617960

Parallel mutual information estimation for inferring gene regulatory networks on GPUs

PubMed Central

2011-01-01

Background Mutual information is a measure of similarity between two variables. It has been widely used in various application domains including computational biology, machine learning, statistics, image processing, and financial computing. Previously used simple histogram based mutual information estimators lack the precision in quality compared to kernel based methods. The recently introduced B-spline function based mutual information estimation method is competitive to the kernel based methods in terms of quality but at a lower computational complexity. Results We present a new approach to accelerate the B-spline function based mutual information estimation algorithm with commodity graphics hardware. To derive an efficient mapping onto this type of architecture, we have used the Compute Unified Device Architecture (CUDA) programming model to design and implement a new parallel algorithm. Our implementation, called CUDA-MI, can achieve speedups of up to 82 using double precision on a single GPU compared to a multi-threaded implementation on a quad-core CPU for large microarray datasets. We have used the results obtained by CUDA-MI to infer gene regulatory networks (GRNs) from microarray data. The comparisons to existing methods including ARACNE and TINGe show that CUDA-MI produces GRNs of higher quality in less time. Conclusions CUDA-MI is publicly available open-source software, written in CUDA and C++ programming languages. It obtains significant speedup over sequential multi-threaded implementation by fully exploiting the compute capability of commonly used CUDA-enabled low-cost GPUs. PMID:21672264

Philosophy, Psychology, Physics and Practice of Ki

PubMed Central

Ohnishi, Tomoko

2009-01-01

Ki (in Japanese) or Qi (in Chinese) is the key concept in Eastern medicine, Eastern philosophy, as well as in martial arts. We explain the philosophical and psychological background of Ki. We emphasize that the unique aspects of Eastern philosophy are ‘non-linearity’ and ‘holistic’ approach. We then present physics aspect of Ki. Our experiments demonstrated that a ‘Ki-beam’ carries ‘entropy’ (or information), which is different from ‘energy’. We introduce our experience of having taught Ki to 37 beginners in the United States through the Nishino Breathing Method. If beginners had martial arts training or a strong background in music or dance, about half of them could sense Ki within 10 weeks (1 h class per week) of practice. PMID:18955316

Far-field detection of sub-wavelength Tetris without extra near-field metal parts based on phase prints of time-reversed fields with intensive background interference.

PubMed

Chen, Yingming; Wang, Bing-Zhong

2014-07-14

Time-reversal (TR) phase prints are first used in far-field (FF) detection of sub-wavelength (SW) deformable scatterers without any extra metal structure positioned in the vicinity of the target. The 2D prints derive from discrete short-time Fourier transform of 1D TR electromagnetic (EM) signals. Because the time-invariant intensive background interference is effectively centralized by TR technique, the time-variant weak indication from FF SW scatterers can be highlighted. This method shows a different use of TR technique in which the focus peak of TR EM waves is unusually removed and the most useful information is conveyed by the other part.

Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images.

PubMed

Kimori, Yoshitaka; Baba, Norio; Morone, Nobuhiro

2010-07-08

A reliable extraction technique for resolving multiple spots in light or electron microscopic images is essential in investigations of the spatial distribution and dynamics of specific proteins inside cells and tissues. Currently, automatic spot extraction and characterization in complex microscopic images poses many challenges to conventional image processing methods. A new method to extract closely located, small target spots from biological images is proposed. This method starts with a simple but practical operation based on the extended morphological top-hat transformation to subtract an uneven background. The core of our novel approach is the following: first, the original image is rotated in an arbitrary direction and each rotated image is opened with a single straight line-segment structuring element. Second, the opened images are unified and then subtracted from the original image. To evaluate these procedures, model images of simulated spots with closely located targets were created and the efficacy of our method was compared to that of conventional morphological filtering methods. The results showed the better performance of our method. The spots of real microscope images can be quantified to confirm that the method is applicable in a given practice. Our method achieved effective spot extraction under various image conditions, including aggregated target spots, poor signal-to-noise ratio, and large variations in the background intensity. Furthermore, it has no restrictions with respect to the shape of the extracted spots. The features of our method allow its broad application in biological and biomedical image information analysis.

Optic-null space medium for cover-up cloaking without any negative refraction index materials

PubMed Central

Sun, Fei; He, Sailing

2016-01-01

With the help of optic-null medium, we propose a new way to achieve invisibility by covering up the scattering without using any negative refraction index materials. Compared with previous methods to achieve invisibility, the function of our cloak is to cover up the scattering of the objects to be concealed by a background object of strong scattering. The concealed object can receive information from the outside world without being detected. Numerical simulations verify the performance of our cloak. The proposed method will be a great addition to existing invisibility technology. PMID:27383833

Solar wind parameteres and disturbances in STEREO view

NASA Astrophysics Data System (ADS)

Opitz, Andrea

2017-04-01

The twin STEREO spacecraft provided two vantage point solar wind observations between 2007 and 2014. Instrumentation of the STEREO A and B spacecraft is very nearly identical, hence their measurements are easily comparable. These measurements are visualised and treated with different methods in order to obtain a global view of the in-ecliptic background solar wind and the disturbances such as CIRs and CMEs. Comparison of the two datasets and exclusion of spatial effects provides information on the in-ecliptic solar wind structure in the inner heliosphere. These methods and results will be revised in this paper.

Optic-null space medium for cover-up cloaking without any negative refraction index materials.

PubMed

Sun, Fei; He, Sailing

2016-07-07

With the help of optic-null medium, we propose a new way to achieve invisibility by covering up the scattering without using any negative refraction index materials. Compared with previous methods to achieve invisibility, the function of our cloak is to cover up the scattering of the objects to be concealed by a background object of strong scattering. The concealed object can receive information from the outside world without being detected. Numerical simulations verify the performance of our cloak. The proposed method will be a great addition to existing invisibility technology.

Challenges in Building Disease-Based National Health Accounts

PubMed Central

Rosen, Allison B.; Cutler, David M.

2012-01-01

Background Measuring spending on diseases is critical to assessing the value of medical care. Objective To review the current state of cost of illness (COI) estimation methods, identifying their strengths, limitations and uses. We briefly describe the current National Health Expenditure Accounts (NHEA), and then go on to discuss the addition of COI estimation to the NHEA. Conclusion Recommendations are made for future research aimed at identifying the best methods for developing and using disease-based national health accounts to optimize the information available to policymakers as they struggle with difficult resource allocation decisions. PMID:19536017

Image analysis for skeletal evaluation of carpal bones

NASA Astrophysics Data System (ADS)

Ko, Chien-Chuan; Mao, Chi-Wu; Lin, Chi-Jen; Sun, Yung-Nien

1995-04-01

The assessment of bone age is an important field to the pediatric radiology. It provides very important information for treatment and prediction of skeletal growth in a developing child. So far, various computerized algorithms for automatically assessing the skeletal growth have been reported. Most of these methods made attempt to analyze the phalangeal growth. The most fundamental step in these automatic measurement methods is the image segmentation that extracts bones from soft-tissue and background. These automatic segmentation methods of hand radiographs can roughly be categorized into two main approaches that are edge and region based methods. This paper presents a region-based carpal-bone segmentation approach. It is organized into four stages: contrast enhancement, moment-preserving thresholding, morphological processing, and region-growing labeling.

Development of a Remote Consultation System Using Avatar Technology

NASA Astrophysics Data System (ADS)

Ohnishi, Tatsuya; Yajima, Hiroshi; Sawamoto, Jun

The chance to use the Internet as a communications tool has been increasing, and the consultation businesses for customers at remote places are diversifying in their communication media and forms. In the remote consultation, the lack of non-verbal information is reported as one of the reasons for inefficiency and customer's dissatisfaction compared with the face-to-face consultation. The technique for supplementing non-verbal information with a TV telephone is proposed, and helps to confirm understanding degree or the utterance timing by watching the movement of the face. But the displayed face of the partner causes strong feeling of strain between strangers and the participants also care about background scene displayed on the monitor producing risks in the consultation tasks. In this paper, we propose a remote consultation method that uses avatar technology in the virtual space in order to provide non-verbal information and also avoiding the problem of TV telephone at the same time. The effectiveness of the proposed remote consultation method is confirmed by experiments.

Science information in the media: an academic approach to improve its intrinsic quality.

PubMed

Bruno, Flavia; Vercellesi, Luisa

2002-01-01

The lay audience expresses a clear demand for scientific information, particularly when health and welfare are involved. For most people science is what they learn from the media. The need for good scientific journalism is pressing, to bridge the gap between the slow pace of science and the fast-moving and concise nature of successful mass communication. This academic postgraduate course was established by the Department of Pharmacological Sciences to train mediators to improve the quality of lay scientific dissemination. The programme focuses on teaching a method of selecting, analysing, understanding, mediating and diffusing scientific information to lay people. The course explores the theoretical and practical aspects of methods, techniques and channels of scientific communication. Case studies, practical exercises, and stages complement the theoretical curriculum. The teaching focus is on reducing the asymmetry between scientists and the public. The different backgrounds of students and the spread of topics are major challenges. Copyright 2002 Academic Press.

A traveling salesman approach for predicting protein functions

PubMed Central

Johnson, Olin; Liu, Jing

2006-01-01

Background Protein-protein interaction information can be used to predict unknown protein functions and to help study biological pathways. Results Here we present a new approach utilizing the classic Traveling Salesman Problem to study the protein-protein interactions and to predict protein functions in budding yeast Saccharomyces cerevisiae. We apply the global optimization tool from combinatorial optimization algorithms to cluster the yeast proteins based on the global protein interaction information. We then use this clustering information to help us predict protein functions. We use our algorithm together with the direct neighbor algorithm [1] on characterized proteins and compare the prediction accuracy of the two methods. We show our algorithm can produce better predictions than the direct neighbor algorithm, which only considers the immediate neighbors of the query protein. Conclusion Our method is a promising one to be used as a general tool to predict functions of uncharacterized proteins and a successful sample of using computer science knowledge and algorithms to study biological problems. PMID:17147783

Enriching semantic knowledge bases for opinion mining in big data applications.

PubMed

Weichselbraun, A; Gindl, S; Scharl, A

2014-10-01

This paper presents a novel method for contextualizing and enriching large semantic knowledge bases for opinion mining with a focus on Web intelligence platforms and other high-throughput big data applications. The method is not only applicable to traditional sentiment lexicons, but also to more comprehensive, multi-dimensional affective resources such as SenticNet. It comprises the following steps: (i) identify ambiguous sentiment terms, (ii) provide context information extracted from a domain-specific training corpus, and (iii) ground this contextual information to structured background knowledge sources such as ConceptNet and WordNet. A quantitative evaluation shows a significant improvement when using an enriched version of SenticNet for polarity classification. Crowdsourced gold standard data in conjunction with a qualitative evaluation sheds light on the strengths and weaknesses of the concept grounding, and on the quality of the enrichment process.