Development of Human Face Literature Database Using Text Mining Approach: Phase I.
Kaur, Paramjit; Krishan, Kewal; Sharma, Suresh K
2018-06-01
The face is an important part of the human body by which an individual communicates in the society. Its importance can be highlighted by the fact that a person deprived of face cannot sustain in the living world. The amount of experiments being performed and the number of research papers being published under the domain of human face have surged in the past few decades. Several scientific disciplines, which are conducting research on human face include: Medical Science, Anthropology, Information Technology (Biometrics, Robotics, and Artificial Intelligence, etc.), Psychology, Forensic Science, Neuroscience, etc. This alarms the need of collecting and managing the data concerning human face so that the public and free access of it can be provided to the scientific community. This can be attained by developing databases and tools on human face using bioinformatics approach. The current research emphasizes on creating a database concerning literature data of human face. The database can be accessed on the basis of specific keywords, journal name, date of publication, author's name, etc. The collected research papers will be stored in the form of a database. Hence, the database will be beneficial to the research community as the comprehensive information dedicated to the human face could be found at one place. The information related to facial morphologic features, facial disorders, facial asymmetry, facial abnormalities, and many other parameters can be extracted from this database. The front end has been developed using Hyper Text Mark-up Language and Cascading Style Sheets. The back end has been developed using hypertext preprocessor (PHP). The JAVA Script has used as scripting language. MySQL (Structured Query Language) is used for database development as it is most widely used Relational Database Management System. XAMPP (X (cross platform), Apache, MySQL, PHP, Perl) open source web application software has been used as the server.The database is still under the developmental phase and discusses the initial steps of its creation. The current paper throws light on the work done till date.
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.
Han, Hu; K Jain, Anil; Shan, Shiguang; Chen, Xilin
2017-08-10
Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been proposed for face attribute estimation, most of them did not explicitly consider the attribute correlation and heterogeneity (e.g., ordinal vs. nominal and holistic vs. local) during feature representation learning. In this paper, we present a Deep Multi-Task Learning (DMTL) approach to jointly estimate multiple heterogeneous attributes from a single face image. In DMTL, we tackle attribute correlation and heterogeneity with convolutional neural networks (CNNs) consisting of shared feature learning for all the attributes, and category-specific feature learning for heterogeneous attributes. We also introduce an unconstrained face database (LFW+), an extension of public-domain LFW, with heterogeneous demographic attributes (age, gender, and race) obtained via crowdsourcing. Experimental results on benchmarks with multiple face attributes (MORPH II, LFW+, CelebA, LFWA, and FotW) show that the proposed approach has superior performance compared to state of the art. Finally, evaluations on a public-domain face database (LAP) with a single attribute show that the proposed approach has excellent generalization ability.
Face antispoofing based on frame difference and multilevel representation
NASA Astrophysics Data System (ADS)
Benlamoudi, Azeddine; Aiadi, Kamal Eddine; Ouafi, Abdelkrim; Samai, Djamel; Oussalah, Mourad
2017-07-01
Due to advances in technology, today's biometric systems become vulnerable to spoof attacks made by fake faces. These attacks occur when an intruder attempts to fool an established face-based recognition system by presenting a fake face (e.g., print photo or replay attacks) in front of the camera instead of the intruder's genuine face. For this purpose, face antispoofing has become a hot topic in face analysis literature, where several applications with antispoofing task have emerged recently. We propose a solution for distinguishing between real faces and fake ones. Our approach is based on extracting features from the difference between successive frames instead of individual frames. We also used a multilevel representation that divides the frame difference into multiple multiblocks. Different texture descriptors (local binary patterns, local phase quantization, and binarized statistical image features) have then been applied to each block. After the feature extraction step, a Fisher score is applied to sort the features in ascending order according to the associated weights. Finally, a support vector machine is used to differentiate between real and fake faces. We tested our approach on three publicly available databases: CASIA Face Antispoofing database, Replay-Attack database, and MSU Mobile Face Spoofing database. The proposed approach outperforms the other state-of-the-art methods in different media and quality metrics.
Multi-stream face recognition for crime-fighting
NASA Astrophysics Data System (ADS)
Jassim, Sabah A.; Sellahewa, Harin
2007-04-01
Automatic face recognition (AFR) is a challenging task that is increasingly becoming the preferred biometric trait for identification and has the potential of becoming an essential tool in the fight against crime and terrorism. Closed-circuit television (CCTV) cameras have increasingly been used over the last few years for surveillance in public places such as airports, train stations and shopping centers. They are used to detect and prevent crime, shoplifting, public disorder and terrorism. The work of law-enforcing and intelligence agencies is becoming more reliant on the use of databases of biometric data for large section of the population. Face is one of the most natural biometric traits that can be used for identification and surveillance. However, variations in lighting conditions, facial expressions, face size and pose are a great obstacle to AFR. This paper is concerned with using waveletbased face recognition schemes in the presence of variations of expressions and illumination. In particular, we will investigate the use of a combination of wavelet frequency channels for a multi-stream face recognition using various wavelet subbands as different face signal streams. The proposed schemes extend our recently developed face veri.cation scheme for implementation on mobile devices. We shall present experimental results on the performance of our proposed schemes for a number of face databases including a new AV database recorded on a PDA. By analyzing the various experimental data, we shall demonstrate that the multi-stream approach is robust against variations in illumination and facial expressions than the previous single-stream approach.
The CompTox Dashboard is a publicly accessible database provided by the National Center for Computational Toxicology at the US-EPA. The dashboard provides access to a database containing ~720,000 chemicals and integrates a number of our public-facing projects (e.g. ToxCast and Ex...
The iCSS Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and Exp...
The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoC...
Baussano, Iacopo; Brzoska, Patrick; Fedeli, Ugo; Larouche, Claudia; Razum, Oliver; Fung, Isaac C-H
2008-01-01
Epidemiology and public health are usually context-specific. Journals published in different languages and countries play a role both as sources of data and as channels through which evidence is incorporated into local public health practice. Databases in these languages facilitate access to relevant journals, and professional education in these languages facilitates the growth of native expertise in epidemiology and public health. However, as English has become the lingua franca of scientific communication in the era of globalisation, many journals published in non-English languages face the difficult dilemma of either switching to English and competing internationally, or sticking to the native tongue and having a restricted circulation among a local readership. This paper discusses the historical development of epidemiology and the current scene of epidemiological and public health journals, databases and professional education in three Western European languages: French, German and Italian, and examines the dynamics and struggles they have today. PMID:18826570
NASA Astrophysics Data System (ADS)
Poinsot, Audrey; Yang, Fan; Brost, Vincent
2011-02-01
Including multiple sources of information in personal identity recognition and verification gives the opportunity to greatly improve performance. We propose a contactless biometric system that combines two modalities: palmprint and face. Hardware implementations are proposed on the Texas Instrument Digital Signal Processor and Xilinx Field-Programmable Gate Array (FPGA) platforms. The algorithmic chain consists of a preprocessing (which includes palm extraction from hand images), Gabor feature extraction, comparison by Hamming distance, and score fusion. Fusion possibilities are discussed and tested first using a bimodal database of 130 subjects that we designed (uB database), and then two common public biometric databases (AR for face and PolyU for palmprint). High performance has been obtained for recognition and verification purpose: a recognition rate of 97.49% with AR-PolyU database and an equal error rate of 1.10% on the uB database using only two training samples per subject have been obtained. Hardware results demonstrate that preprocessing can easily be performed during the acquisition phase, and multimodal biometric recognition can be treated almost instantly (0.4 ms on FPGA). We show the feasibility of a robust and efficient multimodal hardware biometric system that offers several advantages, such as user-friendliness and flexibility.
Technology survey on video face tracking
NASA Astrophysics Data System (ADS)
Zhang, Tong; Gomes, Herman Martins
2014-03-01
With the pervasiveness of monitoring cameras installed in public areas, schools, hospitals, work places and homes, video analytics technologies for interpreting these video contents are becoming increasingly relevant to people's lives. Among such technologies, human face detection and tracking (and face identification in many cases) are particularly useful in various application scenarios. While plenty of research has been conducted on face tracking and many promising approaches have been proposed, there are still significant challenges in recognizing and tracking people in videos with uncontrolled capturing conditions, largely due to pose and illumination variations, as well as occlusions and cluttered background. It is especially complex to track and identify multiple people simultaneously in real time due to the large amount of computation involved. In this paper, we present a survey on literature and software that are published or developed during recent years on the face tracking topic. The survey covers the following topics: 1) mainstream and state-of-the-art face tracking methods, including features used to model the targets and metrics used for tracking; 2) face identification and face clustering from face sequences; and 3) software packages or demonstrations that are available for algorithm development or trial. A number of publically available databases for face tracking are also introduced.
Multi-stream face recognition on dedicated mobile devices for crime-fighting
NASA Astrophysics Data System (ADS)
Jassim, Sabah A.; Sellahewa, Harin
2006-09-01
Automatic face recognition is a useful tool in the fight against crime and terrorism. Technological advance in mobile communication systems and multi-application mobile devices enable the creation of hybrid platforms for active and passive surveillance. A dedicated mobile device that incorporates audio-visual sensors would not only complement existing networks of fixed surveillance devices (e.g. CCTV) but could also provide wide geographical coverage in almost any situation and anywhere. Such a device can hold a small portion of a law-enforcing agency biometric database that consist of audio and/or visual data of a number of suspects/wanted or missing persons who are expected to be in a local geographical area. This will assist law-enforcing officers on the ground in identifying persons whose biometric templates are downloaded onto their devices. Biometric data on the device can be regularly updated which will reduce the number of faces an officer has to remember. Such a dedicated device would act as an active/passive mobile surveillance unit that incorporate automatic identification. This paper is concerned with the feasibility of using wavelet-based face recognition schemes on such devices. The proposed schemes extend our recently developed face verification scheme for implementation on a currently available PDA. In particular we will investigate the use of a combination of wavelet frequency channels for multi-stream face recognition. We shall present experimental results on the performance of our proposed schemes for a number of publicly available face databases including a new AV database of videos recorded on a PDA.
Covariance analysis for evaluating head trackers
NASA Astrophysics Data System (ADS)
Kang, Donghoon
2017-10-01
Existing methods for evaluating the performance of head trackers usually rely on publicly available face databases, which contain facial images and the ground truths of their corresponding head orientations. However, most of the existing publicly available face databases are constructed by assuming that a frontal head orientation can be determined by compelling the person under examination to look straight ahead at the camera on the first video frame. Since nobody can accurately direct one's head toward the camera, this assumption may be unrealistic. Rather than obtaining estimation errors, we present a method for computing the covariance of estimation error rotations to evaluate the reliability of head trackers. As an uncertainty measure of estimators, the Schatten 2-norm of a square root of error covariance (or the algebraic average of relative error angles) can be used. The merit of the proposed method is that it does not disturb the person under examination by asking him to direct his head toward certain directions. Experimental results using real data validate the usefulness of our method.
NASA Astrophysics Data System (ADS)
Petpairote, Chayanut; Madarasmi, Suthep; Chamnongthai, Kosin
2018-01-01
The practical identification of individuals using facial recognition techniques requires the matching of faces with specific expressions to faces from a neutral face database. A method for facial recognition under varied expressions against neutral face samples of individuals via recognition of expression warping and the use of a virtual expression-face database is proposed. In this method, facial expressions are recognized and the input expression faces are classified into facial expression groups. To aid facial recognition, the virtual expression-face database is sorted into average facial-expression shapes and by coarse- and fine-featured facial textures. Wrinkle information is also employed in classification by using a process of masking to adjust input faces to match the expression-face database. We evaluate the performance of the proposed method using the CMU multi-PIE, Cohn-Kanade, and AR expression-face databases, and we find that it provides significantly improved results in terms of face recognition accuracy compared to conventional methods and is acceptable for facial recognition under expression variation.
Demirkus, Meltem; Precup, Doina; Clark, James J; Arbel, Tal
2016-06-01
Recent literature shows that facial attributes, i.e., contextual facial information, can be beneficial for improving the performance of real-world applications, such as face verification, face recognition, and image search. Examples of face attributes include gender, skin color, facial hair, etc. How to robustly obtain these facial attributes (traits) is still an open problem, especially in the presence of the challenges of real-world environments: non-uniform illumination conditions, arbitrary occlusions, motion blur and background clutter. What makes this problem even more difficult is the enormous variability presented by the same subject, due to arbitrary face scales, head poses, and facial expressions. In this paper, we focus on the problem of facial trait classification in real-world face videos. We have developed a fully automatic hierarchical and probabilistic framework that models the collective set of frame class distributions and feature spatial information over a video sequence. The experiments are conducted on a large real-world face video database that we have collected, labelled and made publicly available. The proposed method is flexible enough to be applied to any facial classification problem. Experiments on a large, real-world video database McGillFaces [1] of 18,000 video frames reveal that the proposed framework outperforms alternative approaches, by up to 16.96 and 10.13%, for the facial attributes of gender and facial hair, respectively.
Beach Advisory and Closing Online Notification (BEACON) system
Beach Advisory and Closing Online Notification system (BEACON) is a colletion of state and local data reported to EPA about beach closings and advisories. BEACON is the public-facing query of the Program tracking, Beach Advisories, Water quality standards, and Nutrients database (PRAWN) which tracks beach closing and advisory information.
Critical Review of Willingness to Pay for Clinical Oral Health Interventions
Tan, Sharon Hui Xuan; Vernazza, Christopher R; Nair, Rahul
2017-01-01
Objectives This critical review aimed to identify, consolidate and evaluate the quality of Willingness to Pay (WTP) studies applied to clinical contexts in the field of dentistry. Methods PubMed and Web of Science databases were systematically searched for relevant publications. Screening and data extraction was then performed. Primary literature in English-language were included to assess the WTP for oral health interventions, when the valuations were applied to a clinical measure. Twenty-six publications met the inclusion criteria. Results WTP was elicited mainly via face-to-face interviews (13 publications) and questionnaires (12 publications). The majority (24) of publications selected an out-of-pocket payment vehicle. Eleven publications adopted a bidding method, nine publications adopted an open-ended format, and the remaining six studies adopted a payment card or choice method. Pre-testing was reported in only nine publications, and few studies accounted for starting point bias. Eight of 11 publications found that higher incomes were associated with higher WTP values. The female gender, a younger age and higher education levels were associated with a higher WTP in select studies. Conclusions Only a small minority of the studies used strategies to avoid well documented biases related to WTP elicitation. Cost versus benefit of many clinical scenarios remain uninvestigated. Clinical significance WTP studies in dentistry may benefit from pre-testing and the inclusion of a script to minimise hypothetical bias. They may also be better conducted face-to-face and via a shuffled payment card method. Income levels, and potentially education levels, gender and age, should be assessed for their influence on WTP values. PMID:28662842
Qian, Jianjun; Yang, Jian; Xu, Yong
2013-09-01
This paper presents a robust but simple image feature extraction method, called image decomposition based on local structure (IDLS). It is assumed that in the local window of an image, the macro-pixel (patch) of the central pixel, and those of its neighbors, are locally linear. IDLS captures the local structural information by describing the relationship between the central macro-pixel and its neighbors. This relationship is represented with the linear representation coefficients determined using ridge regression. One image is actually decomposed into a series of sub-images (also called structure images) according to a local structure feature vector. All the structure images, after being down-sampled for dimensionality reduction, are concatenated into one super-vector. Fisher linear discriminant analysis is then used to provide a low-dimensional, compact, and discriminative representation for each super-vector. The proposed method is applied to face recognition and examined using our real-world face image database, NUST-RWFR, and five popular, publicly available, benchmark face image databases (AR, Extended Yale B, PIE, FERET, and LFW). Experimental results show the performance advantages of IDLS over state-of-the-art algorithms.
The depth estimation of 3D face from single 2D picture based on manifold learning constraints
NASA Astrophysics Data System (ADS)
Li, Xia; Yang, Yang; Xiong, Hailiang; Liu, Yunxia
2018-04-01
The estimation of depth is virtual important in 3D face reconstruction. In this paper, we propose a t-SNE based on manifold learning constraints and introduce K-means method to divide the original database into several subset, and the selected optimal subset to reconstruct the 3D face depth information can greatly reduce the computational complexity. Firstly, we carry out the t-SNE operation to reduce the key feature points in each 3D face model from 1×249 to 1×2. Secondly, the K-means method is applied to divide the training 3D database into several subset. Thirdly, the Euclidean distance between the 83 feature points of the image to be estimated and the feature point information before the dimension reduction of each cluster center is calculated. The category of the image to be estimated is judged according to the minimum Euclidean distance. Finally, the method Kong D will be applied only in the optimal subset to estimate the depth value information of 83 feature points of 2D face images. Achieving the final depth estimation results, thus the computational complexity is greatly reduced. Compared with the traditional traversal search estimation method, although the proposed method error rate is reduced by 0.49, the number of searches decreases with the change of the category. In order to validate our approach, we use a public database to mimic the task of estimating the depth of face images from 2D images. The average number of searches decreased by 83.19%.
Privacy and policy for genetic research.
DeCew, Judith Wagner
2004-01-01
I begin with a discussion of the value of privacy and what we lose without it. I then turn to the difficulties of preserving privacy for genetic information and other medical records in the face of advanced information technology. I suggest three alternative public policy approaches to the problem of protecting individual privacy and also preserving databases for genetic research: (1) governmental guidelines and centralized databases, (2) corporate self-regulation, and (3) my hybrid approach. None of these are unproblematic; I discuss strengths and drawbacks of each, emphasizing the importance of protecting the privacy of sensitive medical and genetic information as well as letting information technology flourish to aid patient care, public health and scientific research.
Dourson, Michael L
2018-05-03
The Integrated Risk Information System (IRIS) of the U.S. Environmental Protection Agency (EPA) has an important role in protecting public health. Originally it provided a single database listing official risk values equally valid for all Agency offices, and was an important tool for risk assessment communication across EPA. Started in 1986, IRIS achieved full standing in 1990 when it listed 500 risk values, the effort of two senior EPA groups over 5 years of monthly face-to-face meetings, to assess combined risk data from multiple Agency offices. Those groups were disbanded in 1995, and the lack of continuing face-to-face meetings meant that IRIS became no longer EPA's comprehensive database of risk values or their latest evaluations. As a remedy, a work group of the Agency's senior scientists should be re-established to evaluate new risks and to update older ones. Risk values to be reviewed would come from the same EPA offices now developing such information on their own. Still, this senior group would have the final authority on posting a risk value in IRIS, independently of individual EPA offices. This approach could also lay the groundwork for an all-government IRIS database, especially needed as more government Agencies, industries and non-governmental organizations are addressing evolving risk characterizations. Copyright © 2018. Published by Elsevier Inc.
Face recognition algorithm using extended vector quantization histogram features.
Yan, Yan; Lee, Feifei; Wu, Xueqian; Chen, Qiu
2018-01-01
In this paper, we propose a face recognition algorithm based on a combination of vector quantization (VQ) and Markov stationary features (MSF). The VQ algorithm has been shown to be an effective method for generating features; it extracts a codevector histogram as a facial feature representation for face recognition. Still, the VQ histogram features are unable to convey spatial structural information, which to some extent limits their usefulness in discrimination. To alleviate this limitation of VQ histograms, we utilize Markov stationary features (MSF) to extend the VQ histogram-based features so as to add spatial structural information. We demonstrate the effectiveness of our proposed algorithm by achieving recognition results superior to those of several state-of-the-art methods on publicly available face databases.
Face verification system for Android mobile devices using histogram based features
NASA Astrophysics Data System (ADS)
Sato, Sho; Kobayashi, Kazuhiro; Chen, Qiu
2016-07-01
This paper proposes a face verification system that runs on Android mobile devices. In this system, facial image is captured by a built-in camera on the Android device firstly, and then face detection is implemented using Haar-like features and AdaBoost learning algorithm. The proposed system verify the detected face using histogram based features, which are generated by binary Vector Quantization (VQ) histogram using DCT coefficients in low frequency domains, as well as Improved Local Binary Pattern (Improved LBP) histogram in spatial domain. Verification results with different type of histogram based features are first obtained separately and then combined by weighted averaging. We evaluate our proposed algorithm by using publicly available ORL database and facial images captured by an Android tablet.
DeitY-TU face database: its design, multiple camera capturing, characteristics, and evaluation
NASA Astrophysics Data System (ADS)
Bhowmik, Mrinal Kanti; Saha, Kankan; Saha, Priya; Bhattacharjee, Debotosh
2014-10-01
The development of the latest face databases is providing researchers different and realistic problems that play an important role in the development of efficient algorithms for solving the difficulties during automatic recognition of human faces. This paper presents the creation of a new visual face database, named the Department of Electronics and Information Technology-Tripura University (DeitY-TU) face database. It contains face images of 524 persons belonging to different nontribes and Mongolian tribes of north-east India, with their anthropometric measurements for identification. Database images are captured within a room with controlled variations in illumination, expression, and pose along with variability in age, gender, accessories, make-up, and partial occlusion. Each image contains the combined primary challenges of face recognition, i.e., illumination, expression, and pose. This database also represents some new features: soft biometric traits such as mole, freckle, scar, etc., and facial anthropometric variations that may be helpful for researchers for biometric recognition. It also gives an equivalent study of the existing two-dimensional face image databases. The database has been tested using two baseline algorithms: linear discriminant analysis and principal component analysis, which may be used by other researchers as the control algorithm performance score.
The Problems Public Schools Face: High School Misbehaviour in 1990 and 2002
ERIC Educational Resources Information Center
Fish, Reva M.; Finn, Kristin V.; Finn, Jeremy D.
2011-01-01
Misbehaviour in high school impacts learning and instruction in the classroom as well as the educational climate of the institution. In this report, changes in administrators', teachers', and students' reports of misbehaviour between 1990 and 2002 were examined using two national US databases. There was little change in administrators'…
Critical review of willingness to pay for clinical oral health interventions.
Tan, Sharon Hui Xuan; Vernazza, Christopher R; Nair, Rahul
2017-09-01
This critical review aimed to identify, consolidate and evaluate the quality of Willingness to Pay (WTP) studies applied to clinical contexts in the field of dentistry. PubMed and Web of Science databases were systematically searched for relevant publications. Screening and data extraction was then performed. Primary literature in English-language were included to assess the WTP for oral health interventions, when the valuations were applied to a clinical measure. Twenty-six publications met the inclusion criteria. WTP was elicited mainly via face-to-face interviews (13 publications) and questionnaires (12 publications). The majority (24) of publications selected an out-of-pocket payment vehicle. Eleven publications adopted a bidding method, nine publications adopted an open-ended format, and the remaining six studies adopted a payment card or choice method. Pre-testing was reported in only nine publications, and few studies accounted for starting point bias. Eight of 11 publications found that higher incomes were associated with higher WTP values. The female gender, a younger age and higher education levels were associated with a higher WTP in select studies. Only a small minority of the studies used strategies to avoid well documented biases related to WTP elicitation. Cost versus benefit of many clinical scenarios remain uninvestigated. WTP studies in dentistry may benefit from pre-testing and the inclusion of a script to minimise hypothetical bias. They may also be better conducted face-to-face and via a shuffled payment card method. Income levels, and potentially education levels, gender and age, should be assessed for their influence on WTP values. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.
Viereck, Christopher; Boudes, Pol
2009-07-01
We compared the clinical trial transparency practices of US/European pharma by analyzing the publicly-accessible clinical trial results databases of major drugs (doripenem, varenicline, lapatinib, zoledronic acid, adalimumab, insulin glargine, raltegravir, gefitinib). We evaluated their accessibility and utility from the perspective of the lay public. We included databases on company websites, http://www.clinicalstudyresults.org, http://www.clinicaltrials.gov and http://clinicaltrials.ifpma.org. Only 2 of 8 company homepages provide a direct link to the results. While the use of common terms on company search engines led to results for 5 of the 8 drugs following 2-4 clicks, no logical pathway was identified. The number of clinical trials in the databases was inconsistent: 0 for doripenem to 45 for insulin glargine. Results from all phases of clinical development were provided for 2 (insulin glargine and gefitinib) of the 8 drugs. Analyses of phase III reports revealed that most critical elements of the International Conference of Harmonization E3 Structure and Content of Synopses for Clinical Trial Reports were provided for 2 (varenicline, lapatinib) of the 8 drugs. For adalimumab and zoledronic acid, only citations were provided, which the lay public would be unable to access. None of the clinical trial reports was written in lay language. User-friendly support, when provided, was of marginal benefit. Only 1 of the databases (gefitinib) permitted the user to find the most recently updated reports. None of the glossaries included explanations for adverse events or statistical methodology. In conclusion, our study indicates that the public faces significant hurdles in finding and understanding clinical trial results databases.
a Review on State-Of Face Recognition Approaches
NASA Astrophysics Data System (ADS)
Mahmood, Zahid; Muhammad, Nazeer; Bibi, Nargis; Ali, Tauseef
Automatic Face Recognition (FR) presents a challenging task in the field of pattern recognition and despite the huge research in the past several decades; it still remains an open research problem. This is primarily due to the variability in the facial images, such as non-uniform illuminations, low resolution, occlusion, and/or variation in poses. Due to its non-intrusive nature, the FR is an attractive biometric modality and has gained a lot of attention in the biometric research community. Driven by the enormous number of potential application domains, many algorithms have been proposed for the FR. This paper presents an overview of the state-of-the-art FR algorithms, focusing their performances on publicly available databases. We highlight the conditions of the image databases with regard to the recognition rate of each approach. This is useful as a quick research overview and for practitioners as well to choose an algorithm for their specified FR application. To provide a comprehensive survey, the paper divides the FR algorithms into three categories: (1) intensity-based, (2) video-based, and (3) 3D based FR algorithms. In each category, the most commonly used algorithms and their performance is reported on standard face databases and a brief critical discussion is carried out.
The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set
Dalrymple, Kirsten A.; Gomez, Jesse; Duchaine, Brad
2013-01-01
Facial identity and expression play critical roles in our social lives. Faces are therefore frequently used as stimuli in a variety of areas of scientific research. Although several extensive and well-controlled databases of adult faces exist, few databases include children’s faces. Here we present the Dartmouth Database of Children’s Faces, a set of photographs of 40 male and 40 female Caucasian children between 6 and 16 years-of-age. Models posed eight facial expressions and were photographed from five camera angles under two lighting conditions. Models wore black hats and black gowns to minimize extra-facial variables. To validate the images, independent raters identified facial expressions, rated their intensity, and provided an age estimate for each model. The Dartmouth Database of Children’s Faces is freely available for research purposes and can be downloaded by contacting the corresponding author by email. PMID:24244434
Mining Bug Databases for Unidentified Software Vulnerabilities
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dumidu Wijayasekara; Milos Manic; Jason Wright
2012-06-01
Identifying software vulnerabilities is becoming more important as critical and sensitive systems increasingly rely on complex software systems. It has been suggested in previous work that some bugs are only identified as vulnerabilities long after the bug has been made public. These vulnerabilities are known as hidden impact vulnerabilities. This paper discusses the feasibility and necessity to mine common publicly available bug databases for vulnerabilities that are yet to be identified. We present bug database analysis of two well known and frequently used software packages, namely Linux kernel and MySQL. It is shown that for both Linux and MySQL, amore » significant portion of vulnerabilities that were discovered for the time period from January 2006 to April 2011 were hidden impact vulnerabilities. It is also shown that the percentage of hidden impact vulnerabilities has increased in the last two years, for both software packages. We then propose an improved hidden impact vulnerability identification methodology based on text mining bug databases, and conclude by discussing a few potential problems faced by such a classifier.« less
Multiple Representations-Based Face Sketch-Photo Synthesis.
Peng, Chunlei; Gao, Xinbo; Wang, Nannan; Tao, Dacheng; Li, Xuelong; Li, Jie
2016-11-01
Face sketch-photo synthesis plays an important role in law enforcement and digital entertainment. Most of the existing methods only use pixel intensities as the feature. Since face images can be described using features from multiple aspects, this paper presents a novel multiple representations-based face sketch-photo-synthesis method that adaptively combines multiple representations to represent an image patch. In particular, it combines multiple features from face images processed using multiple filters and deploys Markov networks to exploit the interacting relationships between the neighboring image patches. The proposed framework could be solved using an alternating optimization strategy and it normally converges in only five outer iterations in the experiments. Our experimental results on the Chinese University of Hong Kong (CUHK) face sketch database, celebrity photos, CUHK Face Sketch FERET Database, IIIT-D Viewed Sketch Database, and forensic sketches demonstrate the effectiveness of our method for face sketch-photo synthesis. In addition, cross-database and database-dependent style-synthesis evaluations demonstrate the generalizability of this novel method and suggest promising solutions for face identification in forensic science.
Applied learning-based color tone mapping for face recognition in video surveillance system
NASA Astrophysics Data System (ADS)
Yew, Chuu Tian; Suandi, Shahrel Azmin
2012-04-01
In this paper, we present an applied learning-based color tone mapping technique for video surveillance system. This technique can be applied onto both color and grayscale surveillance images. The basic idea is to learn the color or intensity statistics from a training dataset of photorealistic images of the candidates appeared in the surveillance images, and remap the color or intensity of the input image so that the color or intensity statistics match those in the training dataset. It is well known that the difference in commercial surveillance cameras models, and signal processing chipsets used by different manufacturers will cause the color and intensity of the images to differ from one another, thus creating additional challenges for face recognition in video surveillance system. Using Multi-Class Support Vector Machines as the classifier on a publicly available video surveillance camera database, namely SCface database, this approach is validated and compared to the results of using holistic approach on grayscale images. The results show that this technique is suitable to improve the color or intensity quality of video surveillance system for face recognition.
Good match exploration for infrared face recognition
NASA Astrophysics Data System (ADS)
Yang, Changcai; Zhou, Huabing; Sun, Sheng; Liu, Renfeng; Zhao, Ji; Ma, Jiayi
2014-11-01
Establishing good feature correspondence is a critical prerequisite and a challenging task for infrared (IR) face recognition. Recent studies revealed that the scale invariant feature transform (SIFT) descriptor outperforms other local descriptors for feature matching. However, it only uses local appearance information for matching, and hence inevitably leads to a number of false matches. To address this issue, this paper explores global structure information (GSI) among SIFT correspondences, and proposes a new method SIFT-GSI for good match exploration. This is achieved by fitting a smooth mapping function for the underlying correct matches, which involves softassign and deterministic annealing. Quantitative comparisons with state-of-the-art methods on a publicly available IR human face database demonstrate that SIFT-GSI significantly outperforms other methods for feature matching, and hence it is able to improve the reliability of IR face recognition systems.
Schönborn, Sandro; Greifeneder, Rainer; Vetter, Thomas
2018-01-01
Upon a first encounter, individuals spontaneously associate faces with certain personality dimensions. Such first impressions can strongly impact judgments and decisions and may prove highly consequential. Researchers investigating the impact of facial information often rely on (a) real photographs that have been selected to vary on the dimension of interest, (b) morphed photographs, or (c) computer-generated faces (avatars). All three approaches have distinct advantages. Here we present the Basel Face Database, which combines these advantages. In particular, the Basel Face Database consists of real photographs that are subtly, but systematically manipulated to show variations in the perception of the Big Two and the Big Five personality dimensions. To this end, the information specific to each psychological dimension is isolated and modeled in new photographs. Two studies serve as systematic validation of the Basel Face Database. The Basel Face Database opens a new pathway for researchers across psychological disciplines to investigate effects of perceived personality. PMID:29590124
Walker, Mirella; Schönborn, Sandro; Greifeneder, Rainer; Vetter, Thomas
2018-01-01
Upon a first encounter, individuals spontaneously associate faces with certain personality dimensions. Such first impressions can strongly impact judgments and decisions and may prove highly consequential. Researchers investigating the impact of facial information often rely on (a) real photographs that have been selected to vary on the dimension of interest, (b) morphed photographs, or (c) computer-generated faces (avatars). All three approaches have distinct advantages. Here we present the Basel Face Database, which combines these advantages. In particular, the Basel Face Database consists of real photographs that are subtly, but systematically manipulated to show variations in the perception of the Big Two and the Big Five personality dimensions. To this end, the information specific to each psychological dimension is isolated and modeled in new photographs. Two studies serve as systematic validation of the Basel Face Database. The Basel Face Database opens a new pathway for researchers across psychological disciplines to investigate effects of perceived personality.
A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database.
Huang, Zhiwu; Shan, Shiguang; Wang, Ruiping; Zhang, Haihong; Lao, Shihong; Kuerban, Alifu; Chen, Xilin
2015-12-01
Face recognition with still face images has been widely studied, while the research on video-based face recognition is inadequate relatively, especially in terms of benchmark datasets and comparisons. Real-world video-based face recognition applications require techniques for three distinct scenarios: 1) Videoto-Still (V2S); 2) Still-to-Video (S2V); and 3) Video-to-Video (V2V), respectively, taking video or still image as query or target. To the best of our knowledge, few datasets and evaluation protocols have benchmarked for all the three scenarios. In order to facilitate the study of this specific topic, this paper contributes a benchmarking and comparative study based on a newly collected still/video face database, named COX(1) Face DB. Specifically, we make three contributions. First, we collect and release a largescale still/video face database to simulate video surveillance with three different video-based face recognition scenarios (i.e., V2S, S2V, and V2V). Second, for benchmarking the three scenarios designed on our database, we review and experimentally compare a number of existing set-based methods. Third, we further propose a novel Point-to-Set Correlation Learning (PSCL) method, and experimentally show that it can be used as a promising baseline method for V2S/S2V face recognition on COX Face DB. Extensive experimental results clearly demonstrate that video-based face recognition needs more efforts, and our COX Face DB is a good benchmark database for evaluation.
mirPub: a database for searching microRNA publications.
Vergoulis, Thanasis; Kanellos, Ilias; Kostoulas, Nikos; Georgakilas, Georgios; Sellis, Timos; Hatzigeorgiou, Artemis; Dalamagas, Theodore
2015-05-01
Identifying, amongst millions of publications available in MEDLINE, those that are relevant to specific microRNAs (miRNAs) of interest based on keyword search faces major obstacles. References to miRNA names in the literature often deviate from standard nomenclature for various reasons, since even the official nomenclature evolves. For instance, a single miRNA name may identify two completely different molecules or two different names may refer to the same molecule. mirPub is a database with a powerful and intuitive interface, which facilitates searching for miRNA literature, addressing the aforementioned issues. To provide effective search services, mirPub applies text mining techniques on MEDLINE, integrates data from several curated databases and exploits data from its user community following a crowdsourcing approach. Other key features include an interactive visualization service that illustrates intuitively the evolution of miRNA data, tag clouds summarizing the relevance of publications to particular diseases, cell types or tissues and access to TarBase 6.0 data to oversee genes related to miRNA publications. mirPub is freely available at http://www.microrna.gr/mirpub/. vergoulis@imis.athena-innovation.gr or dalamag@imis.athena-innovation.gr Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.
Abraham, Manoj T; Rousso, Joseph J; Hu, Shirley; Brown, Ryan F; Moscatello, Augustine L; Finn, J Charles; Patel, Neha A; Kadakia, Sameep P; Wood-Smith, Donald
2017-07-01
The American Academy of Facial Plastic and Reconstructive Surgery FACE TO FACE database was created to gather and organize patient data primarily from international humanitarian surgical mission trips, as well as local humanitarian initiatives. Similar to cloud-based Electronic Medical Records, this web-based user-generated database allows for more accurate tracking of provider and patient information and outcomes, regardless of site, and is useful when coordinating follow-up care for patients. The database is particularly useful on international mission trips as there are often different surgeons who may provide care to patients on subsequent missions, and patients who may visit more than 1 mission site. Ultimately, by pooling data across multiples sites and over time, the database has the potential to be a useful resource for population-based studies and outcome data analysis. The objective of this paper is to delineate the process involved in creating the AAFPRS FACE TO FACE database, to assess its functional utility, to draw comparisons to electronic medical records systems that are now widely implemented, and to explain the specific benefits and disadvantages of the use of the database as it was implemented on recent international surgical mission trips.
Zhao, Xi; Dellandréa, Emmanuel; Chen, Liming; Kakadiaris, Ioannis A
2011-10-01
Three-dimensional face landmarking aims at automatically localizing facial landmarks and has a wide range of applications (e.g., face recognition, face tracking, and facial expression analysis). Existing methods assume neutral facial expressions and unoccluded faces. In this paper, we propose a general learning-based framework for reliable landmark localization on 3-D facial data under challenging conditions (i.e., facial expressions and occlusions). Our approach relies on a statistical model, called 3-D statistical facial feature model, which learns both the global variations in configurational relationships between landmarks and the local variations of texture and geometry around each landmark. Based on this model, we further propose an occlusion classifier and a fitting algorithm. Results from experiments on three publicly available 3-D face databases (FRGC, BU-3-DFE, and Bosphorus) demonstrate the effectiveness of our approach, in terms of landmarking accuracy and robustness, in the presence of expressions and occlusions.
In search of the emotional face: anger versus happiness superiority in visual search.
Savage, Ruth A; Lipp, Ottmar V; Craig, Belinda M; Becker, Stefanie I; Horstmann, Gernot
2013-08-01
Previous research has provided inconsistent results regarding visual search for emotional faces, yielding evidence for either anger superiority (i.e., more efficient search for angry faces) or happiness superiority effects (i.e., more efficient search for happy faces), suggesting that these results do not reflect on emotional expression, but on emotion (un-)related low-level perceptual features. The present study investigated possible factors mediating anger/happiness superiority effects; specifically search strategy (fixed vs. variable target search; Experiment 1), stimulus choice (Nimstim database vs. Ekman & Friesen database; Experiments 1 and 2), and emotional intensity (Experiment 3 and 3a). Angry faces were found faster than happy faces regardless of search strategy using faces from the Nimstim database (Experiment 1). By contrast, a happiness superiority effect was evident in Experiment 2 when using faces from the Ekman and Friesen database. Experiment 3 employed angry, happy, and exuberant expressions (Nimstim database) and yielded anger and happiness superiority effects, respectively, highlighting the importance of the choice of stimulus materials. Ratings of the stimulus materials collected in Experiment 3a indicate that differences in perceived emotional intensity, pleasantness, or arousal do not account for differences in search efficiency. Across three studies, the current investigation indicates that prior reports of anger or happiness superiority effects in visual search are likely to reflect on low-level visual features associated with the stimulus materials used, rather than on emotion. PsycINFO Database Record (c) 2013 APA, all rights reserved.
NASA Astrophysics Data System (ADS)
Chan, V. S.; Wong, C. P. C.; McLean, A. G.; Luo, G. N.; Wirth, B. D.
2013-10-01
The Xolotl code under development by PSI-SciDAC will enhance predictive modeling capability of plasma-facing materials under burning plasma conditions. The availability and application of experimental data to compare to code-calculated observables are key requirements to validate the breadth and content of physics included in the model and ultimately gain confidence in its results. A dedicated effort has been in progress to collect and organize a) a database of relevant experiments and their publications as previously carried out at sample exposure facilities in US and Asian tokamaks (e.g., DIII-D DiMES, and EAST MAPES), b) diagnostic and surface analysis capabilities available at each device, and c) requirements for future experiments with code validation in mind. The content of this evolving database will serve as a significant resource for the plasma-material interaction (PMI) community. Work supported in part by the US Department of Energy under GA-DE-SC0008698, DE-AC52-07NA27344 and DE-AC05-00OR22725.
NASA Astrophysics Data System (ADS)
Vincent, T.; Zetterlind, V.; Tougher, B.
2016-12-01
Marine Protected and Managed Areas (MPAs) are a cornerstone of coastal and ocean conservation efforts and reflect years of dedicated effort to protect species and habitats through science-based regulation. When they are effective, biomass increases dramatically, and up to 14 fold and play a significant role in conserving biodiversity. Effective MPAs have enforcement. Enforcement cannot occur without awareness of their location among ocean stakeholders and the general public. The Anthropocene Institute, in partnership with the NOAA Marine Protected Area Center, is creating an actively managed, free and open, worldwide database of MPAs, including normalized metadata and regulation summaries, full GIS boundaries, revision history, and public facing interactive web maps. This project employs 2 full-time lawyers that first comb the relevant regulation; 2 full-time geographers and a full-time GIS database/web engineer.
Pullman, Daryl; Perrot-Daley, Astrid; Hodgkinson, Kathy; Street, Catherine; Rahman, Proton
2013-01-01
Objective To provide a legal and ethical analysis of some of the implementation challenges faced by the Population Therapeutics Research Group (PTRG) at Memorial University (Canada), in using genealogical information offered by individuals for its genetics research database. Materials and methods This paper describes the unique historical and genetic characteristics of the Newfoundland and Labrador founder population, which gave rise to the opportunity for PTRG to build the Newfoundland Genealogy Database containing digitized records of all pre-confederation (1949) census records of the Newfoundland founder population. In addition to building the database, PTRG has developed the Heritability Analytics Infrastructure, a data management structure that stores genotype, phenotype, and pedigree information in a single database, and custom linkage software (KINNECT) to perform pedigree linkages on the genealogy database. Discussion A newly adopted legal regimen in Newfoundland and Labrador is discussed. It incorporates health privacy legislation with a unique research ethics statute governing the composition and activities of research ethics boards and, for the first time in Canada, elevating the status of national research ethics guidelines into law. The discussion looks at this integration of legal and ethical principles which provides a flexible and seamless framework for balancing the privacy rights and welfare interests of individuals, families, and larger societies in the creation and use of research data infrastructures as public goods. Conclusion The complementary legal and ethical frameworks that now coexist in Newfoundland and Labrador provide the legislative authority, ethical legitimacy, and practical flexibility needed to find a workable balance between privacy interests and public goods. Such an approach may also be instructive for other jurisdictions as they seek to construct and use biobanks and related research platforms for genetic research. PMID:22859644
Kosseim, Patricia; Pullman, Daryl; Perrot-Daley, Astrid; Hodgkinson, Kathy; Street, Catherine; Rahman, Proton
2013-01-01
To provide a legal and ethical analysis of some of the implementation challenges faced by the Population Therapeutics Research Group (PTRG) at Memorial University (Canada), in using genealogical information offered by individuals for its genetics research database. This paper describes the unique historical and genetic characteristics of the Newfoundland and Labrador founder population, which gave rise to the opportunity for PTRG to build the Newfoundland Genealogy Database containing digitized records of all pre-confederation (1949) census records of the Newfoundland founder population. In addition to building the database, PTRG has developed the Heritability Analytics Infrastructure, a data management structure that stores genotype, phenotype, and pedigree information in a single database, and custom linkage software (KINNECT) to perform pedigree linkages on the genealogy database. A newly adopted legal regimen in Newfoundland and Labrador is discussed. It incorporates health privacy legislation with a unique research ethics statute governing the composition and activities of research ethics boards and, for the first time in Canada, elevating the status of national research ethics guidelines into law. The discussion looks at this integration of legal and ethical principles which provides a flexible and seamless framework for balancing the privacy rights and welfare interests of individuals, families, and larger societies in the creation and use of research data infrastructures as public goods. The complementary legal and ethical frameworks that now coexist in Newfoundland and Labrador provide the legislative authority, ethical legitimacy, and practical flexibility needed to find a workable balance between privacy interests and public goods. Such an approach may also be instructive for other jurisdictions as they seek to construct and use biobanks and related research platforms for genetic research.
Large-scale Health Information Database and Privacy Protection.
Yamamoto, Ryuichi
2016-09-01
Japan was once progressive in the digitalization of healthcare fields but unfortunately has fallen behind in terms of the secondary use of data for public interest. There has recently been a trend to establish large-scale health databases in the nation, and a conflict between data use for public interest and privacy protection has surfaced as this trend has progressed. Databases for health insurance claims or for specific health checkups and guidance services were created according to the law that aims to ensure healthcare for the elderly; however, there is no mention in the act about using these databases for public interest in general. Thus, an initiative for such use must proceed carefully and attentively. The PMDA projects that collect a large amount of medical record information from large hospitals and the health database development project that the Ministry of Health, Labour and Welfare (MHLW) is working on will soon begin to operate according to a general consensus; however, the validity of this consensus can be questioned if issues of anonymity arise. The likelihood that researchers conducting a study for public interest would intentionally invade the privacy of their subjects is slim. However, patients could develop a sense of distrust about their data being used since legal requirements are ambiguous. Nevertheless, without using patients' medical records for public interest, progress in medicine will grind to a halt. Proper legislation that is clear for both researchers and patients will therefore be highly desirable. A revision of the Act on the Protection of Personal Information is currently in progress. In reality, however, privacy is not something that laws alone can protect; it will also require guidelines and self-discipline. We now live in an information capitalization age. I will introduce the trends in legal reform regarding healthcare information and discuss some basics to help people properly face the issue of health big data and privacy protection with a sense of ownership.
Large-scale Health Information Database and Privacy Protection*1
YAMAMOTO, Ryuichi
2016-01-01
Japan was once progressive in the digitalization of healthcare fields but unfortunately has fallen behind in terms of the secondary use of data for public interest. There has recently been a trend to establish large-scale health databases in the nation, and a conflict between data use for public interest and privacy protection has surfaced as this trend has progressed. Databases for health insurance claims or for specific health checkups and guidance services were created according to the law that aims to ensure healthcare for the elderly; however, there is no mention in the act about using these databases for public interest in general. Thus, an initiative for such use must proceed carefully and attentively. The PMDA*2 projects that collect a large amount of medical record information from large hospitals and the health database development project that the Ministry of Health, Labour and Welfare (MHLW) is working on will soon begin to operate according to a general consensus; however, the validity of this consensus can be questioned if issues of anonymity arise. The likelihood that researchers conducting a study for public interest would intentionally invade the privacy of their subjects is slim. However, patients could develop a sense of distrust about their data being used since legal requirements are ambiguous. Nevertheless, without using patients’ medical records for public interest, progress in medicine will grind to a halt. Proper legislation that is clear for both researchers and patients will therefore be highly desirable. A revision of the Act on the Protection of Personal Information is currently in progress. In reality, however, privacy is not something that laws alone can protect; it will also require guidelines and self-discipline. We now live in an information capitalization age. I will introduce the trends in legal reform regarding healthcare information and discuss some basics to help people properly face the issue of health big data and privacy protection with a sense of ownership. PMID:28299244
Kemper, Jessica; Stürmer, Carolina
2017-01-01
Background Over the past decades, the deficient provision of evidence-based interventions for the prevention and treatment of mental health problems has become a global challenge across health care systems. In view of the ongoing diffusion of new media and mobile technologies into everyday life, Web-delivered electronic mental health (e-mental health) treatment services have been suggested to expand the access to professional help. However, the large-scale dissemination and adoption of innovative e-mental health services is progressing slowly. This discrepancy between potential and actual impact in public health makes it essential to explore public acceptability of e-mental health treatment services across health care systems. Objective This scoping review aimed to identify and evaluate recent empirical evidence for public acceptability, service preferences, and attitudes toward e-mental health treatments. On the basis of both frameworks for technology adoption and previous research, we defined (1) perceived helpfulness and (2) intentions to use e-mental health treatment services as indicators for public acceptability in the respective general population of reviewed studies. This mapping should reduce heterogeneity and help derive implications for systematic reviews and public health strategies. Methods We systematically searched electronic databases (MEDLINE/PubMed, PsycINFO, Psyndex, PsycARTICLES, and Cochrane Library, using reference management software for parallel searches) to identify surveys published in English in peer-reviewed journals between January 2010 and December 2015, focusing on public perceptions about e-mental health treatments outside the context of clinical, psychosocial, or diagnostic interventions. Both indicators were obtained from previous review. Exclusion criteria further involved studies targeting specific groups or programs. Results The simultaneous database search identified 76 nonduplicate records. Four articles from Europe and Australia were included in this scoping review. Sample sizes ranged from 217 to 2411 participants of ages 14-95 years. All included studies used cross-sectional designs and self-developed measures for outcomes related to both defined indicators of public acceptability. Three surveys used observational study designs, whereas one study was conducted as an experiment investigating the impact of brief educational information on attitudes. Taken together, the findings of included surveys suggested that e-mental health treatment services were perceived as less helpful than traditional face-to-face interventions. Additionally, intentions to future use e-mental health treatments were overall smaller in comparison to face-to-face services. Professional support was essential for help-seeking intentions in case of psychological distress. Therapist-assisted e-mental health services were preferred over unguided programs. Unexpectedly, assumed associations between familiarity with Web-based self-help for health purposes or “e-awareness” and intentions to use e-mental health services were weak or inconsistent. Conclusions Considering the marginal amount and heterogeneity of pilot studies focusing on public acceptability of e-mental health treatments, further research using theory-led approaches and validated measures is required to understand psychological facilitator and barriers for the implementation of innovative services into health care. PMID:28373153
Video face recognition against a watch list
NASA Astrophysics Data System (ADS)
Abbas, Jehanzeb; Dagli, Charlie K.; Huang, Thomas S.
2007-10-01
Due to a large increase in the video surveillance data recently in an effort to maintain high security at public places, we need more robust systems to analyze this data and make tasks like face recognition a realistic possibility in challenging environments. In this paper we explore a watch-list scenario where we use an appearance based model to classify query faces from low resolution videos into either a watch-list or a non-watch-list face. We then use our simple yet a powerful face recognition system to recognize the faces classified as watch-list faces. Where the watch-list includes those people that we are interested in recognizing. Our system uses simple feature machine algorithms from our previous work to match video faces against still images. To test our approach, we match video faces against a large database of still images obtained from a previous work in the field from Yahoo News over a period of time. We do this matching in an efficient manner to come up with a faster and nearly real-time system. This system can be incorporated into a larger surveillance system equipped with advanced algorithms involving anomalous event detection and activity recognition. This is a step towards more secure and robust surveillance systems and efficient video data analysis.
Mitton, Craig; Dionne, Francois; Masucci, Lisa; Wong, Sabrina; Law, Susan
2011-01-01
To identify and review innovations relevant to improving access, quality, efficiency and/or effectiveness in the organization and delivery of health care services in rural and remote areas. Literature review. Key bibliographic databases that index health research were searched: MEDLINE, EMBASE and CINAHL. Other databases relevant to Arctic health were also accessed. Abstracts were assessed for relevancy and full articles were reviewed and categorized according to emergent themes. Many innovations in delivering services to rural and remote areas were identified, particularly in the public health realm. These innovations were grouped into 4 key themes: organizational structure of health services; utilization of telehealth and ehealth; medical transportation; and public health challenges. Despite the challenges facing rural and remote regions, there is a distinctly positive message from this broad literature review. Evidence-based initiatives exist across a range of areas - which include operational efficiency and integration, access to care, organizational structure, public health, continuing education and workforce composition - that have the potential to positively impact health care quality and health-related outcomes.
Automatic public access to documents and maps stored on and internal secure system.
NASA Astrophysics Data System (ADS)
Trench, James; Carter, Mary
2013-04-01
The Geological Survey of Ireland operates a Document Management System for providing documents and maps stored internally in high resolution and in a high level secure environment, to an external service where the documents are automatically presented in a lower resolution to members of the public. Security is devised through roles and Individual Users where role level and folder level can be set. The application is an electronic document/data management (EDM) system which has a Geographical Information System (GIS) component integrated to allow users to query an interactive map of Ireland for data that relates to a particular area of interest. The data stored in the database consists of Bedrock Field Sheets, Bedrock Notebooks, Bedrock Maps, Geophysical Surveys, Geotechnical Maps & Reports, Groundwater, GSI Publications, Marine, Mine Records, Mineral Localities, Open File, Quaternary and Unpublished Reports. The Konfig application Tool is both an internal and public facing application. It acts as a tool for high resolution data entry which are stored in a high resolution vault. The public facing application is a mirror of the internal application and differs only in that the application furnishes high resolution data into low resolution format which is stored in a low resolution vault thus, making the data web friendly to the end user for download.
NASA Astrophysics Data System (ADS)
Abdullah, Nurul Azma; Saidi, Md. Jamri; Rahman, Nurul Hidayah Ab; Wen, Chuah Chai; Hamid, Isredza Rahmi A.
2017-10-01
In practice, identification of criminal in Malaysia is done through thumbprint identification. However, this type of identification is constrained as most of criminal nowadays getting cleverer not to leave their thumbprint on the scene. With the advent of security technology, cameras especially CCTV have been installed in many public and private areas to provide surveillance activities. The footage of the CCTV can be used to identify suspects on scene. However, because of limited software developed to automatically detect the similarity between photo in the footage and recorded photo of criminals, the law enforce thumbprint identification. In this paper, an automated facial recognition system for criminal database was proposed using known Principal Component Analysis approach. This system will be able to detect face and recognize face automatically. This will help the law enforcements to detect or recognize suspect of the case if no thumbprint present on the scene. The results show that about 80% of input photo can be matched with the template data.
Gupta, Vishal K; Han, Seonghee; Mortal, Sandra C; Silveri, Sabatino Dino; Turban, Daniel B
2018-02-01
We examine the glass cliff proposition that female CEOs receive more scrutiny than male CEOs, by investigating whether CEO gender is related to threats from activist investors in public firms. Activist investors are extraorganizational stakeholders who, when dissatisfied with some aspect of the way the firm is being managed, seek to change the strategy or operations of the firm. Although some have argued that women will be viewed more favorably than men in top leadership positions (so-called "female leadership" advantage logic), we build on role congruity theory to hypothesize that female CEOs are significantly more likely than male CEOs to come under threat from activist investors. Results support our predictions, suggesting that female CEOs may face additional challenges not faced by male CEOs. Practical implications and directions for future research are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Person Authentication Using Learned Parameters of Lifting Wavelet Filters
NASA Astrophysics Data System (ADS)
Niijima, Koichi
2006-10-01
This paper proposes a method for identifying persons by the use of the lifting wavelet parameters learned by kurtosis-minimization. Our learning method uses desirable properties of kurtosis and wavelet coefficients of a facial image. Exploiting these properties, the lifting parameters are trained so as to minimize the kurtosis of lifting wavelet coefficients computed for the facial image. Since this minimization problem is an ill-posed problem, it is solved by the aid of Tikhonov's regularization method. Our learning algorithm is applied to each of the faces to be identified to generate its feature vector whose components consist of the learned parameters. The constructed feature vectors are memorized together with the corresponding faces in a feature vectors database. Person authentication is performed by comparing the feature vector of a query face with those stored in the database. In numerical experiments, the lifting parameters are trained for each of the neutral faces of 132 persons (74 males and 58 females) in the AR face database. Person authentication is executed by using the smile and anger faces of the same persons in the database.
Quantifying publication scholarly activity of psychiatry residency training directors.
Johnston, Nathan S; Martinez, Azalia V; Schillerstrom, Jason E; Luber, M Philip; Hamaoka, Derrick A
2015-02-01
The authors quantify the number of PubMed-indexed publications by psychiatry program directors during a 5-year observation period. The authors obtained the names of general adult, child and adolescent, and geriatric psychiatry program directors from the ACGME website and entered them into a PubMed.gov database search. Then, they counted the number of indexed publications from July 2008 to June 2013 and categorized them by academic year. The median number of publications was one for adult psychiatry program directors (n=184), one for child and adolescent directors (n=121), and three for geriatric psychiatry directors (n=58). The number of PubMed-indexed publications for program directors of general adult, child and adolescent, and geriatric psychiatry residencies is relatively low. Further research is needed to identify and examine the challenges facing program directors that may limit their ability to participate in this form of scholarly activity.
NASA Astrophysics Data System (ADS)
Karam, Lina J.; Zhu, Tong
2015-03-01
The varying quality of face images is an important challenge that limits the effectiveness of face recognition technology when applied in real-world applications. Existing face image databases do not consider the effect of distortions that commonly occur in real-world environments. This database (QLFW) represents an initial attempt to provide a set of labeled face images spanning the wide range of quality, from no perceived impairment to strong perceived impairment for face detection and face recognition applications. Types of impairment include JPEG2000 compression, JPEG compression, additive white noise, Gaussian blur and contrast change. Subjective experiments are conducted to assess the perceived visual quality of faces under different levels and types of distortions and also to assess the human recognition performance under the considered distortions. One goal of this work is to enable automated performance evaluation of face recognition technologies in the presence of different types and levels of visual distortions. This will consequently enable the development of face recognition systems that can operate reliably on real-world visual content in the presence of real-world visual distortions. Another goal is to enable the development and assessment of visual quality metrics for face images and for face detection and recognition applications.
Unified framework for automated iris segmentation using distantly acquired face images.
Tan, Chun-Wei; Kumar, Ajay
2012-09-01
Remote human identification using iris biometrics has high civilian and surveillance applications and its success requires the development of robust segmentation algorithm to automatically extract the iris region. This paper presents a new iris segmentation framework which can robustly segment the iris images acquired using near infrared or visible illumination. The proposed approach exploits multiple higher order local pixel dependencies to robustly classify the eye region pixels into iris or noniris regions. Face and eye detection modules have been incorporated in the unified framework to automatically provide the localized eye region from facial image for iris segmentation. We develop robust postprocessing operations algorithm to effectively mitigate the noisy pixels caused by the misclassification. Experimental results presented in this paper suggest significant improvement in the average segmentation errors over the previously proposed approaches, i.e., 47.5%, 34.1%, and 32.6% on UBIRIS.v2, FRGC, and CASIA.v4 at-a-distance databases, respectively. The usefulness of the proposed approach is also ascertained from recognition experiments on three different publicly available databases.
NASA Astrophysics Data System (ADS)
Cui, Chen; Asari, Vijayan K.
2014-03-01
Biometric features such as fingerprints, iris patterns, and face features help to identify people and restrict access to secure areas by performing advanced pattern analysis and matching. Face recognition is one of the most promising biometric methodologies for human identification in a non-cooperative security environment. However, the recognition results obtained by face recognition systems are a affected by several variations that may happen to the patterns in an unrestricted environment. As a result, several algorithms have been developed for extracting different facial features for face recognition. Due to the various possible challenges of data captured at different lighting conditions, viewing angles, facial expressions, and partial occlusions in natural environmental conditions, automatic facial recognition still remains as a difficult issue that needs to be resolved. In this paper, we propose a novel approach to tackling some of these issues by analyzing the local textural descriptions for facial feature representation. The textural information is extracted by an enhanced local binary pattern (ELBP) description of all the local regions of the face. The relationship of each pixel with respect to its neighborhood is extracted and employed to calculate the new representation. ELBP reconstructs a much better textural feature extraction vector from an original gray level image in different lighting conditions. The dimensionality of the texture image is reduced by principal component analysis performed on each local face region. Each low dimensional vector representing a local region is now weighted based on the significance of the sub-region. The weight of each sub-region is determined by employing the local variance estimate of the respective region, which represents the significance of the region. The final facial textural feature vector is obtained by concatenating the reduced dimensional weight sets of all the modules (sub-regions) of the face image. Experiments conducted on various popular face databases show promising performance of the proposed algorithm in varying lighting, expression, and partial occlusion conditions. Four databases were used for testing the performance of the proposed system: Yale Face database, Extended Yale Face database B, Japanese Female Facial Expression database, and CMU AMP Facial Expression database. The experimental results in all four databases show the effectiveness of the proposed system. Also, the computation cost is lower because of the simplified calculation steps. Research work is progressing to investigate the effectiveness of the proposed face recognition method on pose-varying conditions as well. It is envisaged that a multilane approach of trained frameworks at different pose bins and an appropriate voting strategy would lead to a good recognition rate in such situation.
A Comparative Survey of Methods for Remote Heart Rate Detection From Frontal Face Videos
Wang, Chen; Pun, Thierry; Chanel, Guillaume
2018-01-01
Remotely measuring physiological activity can provide substantial benefits for both the medical and the affective computing applications. Recent research has proposed different methodologies for the unobtrusive detection of heart rate (HR) using human face recordings. These methods are based on subtle color changes or motions of the face due to cardiovascular activities, which are invisible to human eyes but can be captured by digital cameras. Several approaches have been proposed such as signal processing and machine learning. However, these methods are compared with different datasets, and there is consequently no consensus on method performance. In this article, we describe and evaluate several methods defined in literature, from 2008 until present day, for the remote detection of HR using human face recordings. The general HR processing pipeline is divided into three stages: face video processing, face blood volume pulse (BVP) signal extraction, and HR computation. Approaches presented in the paper are classified and grouped according to each stage. At each stage, algorithms are analyzed and compared based on their performance using the public database MAHNOB-HCI. Results found in this article are limited on MAHNOB-HCI dataset. Results show that extracted face skin area contains more BVP information. Blind source separation and peak detection methods are more robust with head motions for estimating HR. PMID:29765940
Novel face-detection method under various environments
NASA Astrophysics Data System (ADS)
Jing, Min-Quan; Chen, Ling-Hwei
2009-06-01
We propose a method to detect a face with different poses under various environments. On the basis of skin color information, skin regions are first extracted from an input image. Next, the shoulder part is cut out by using shape information and the head part is then identified as a face candidate. For a face candidate, a set of geometric features is applied to determine if it is a profile face. If not, then a set of eyelike rectangles extracted from the face candidate and the lighting distribution are used to determine if the face candidate is a nonprofile face. Experimental results show that the proposed method is robust under a wide range of lighting conditions, different poses, and races. The detection rate for the HHI face database is 93.68%. For the Champion face database, the detection rate is 95.15%.
3D face recognition based on multiple keypoint descriptors and sparse representation.
Zhang, Lin; Ding, Zhixuan; Li, Hongyu; Shen, Ying; Lu, Jianwei
2014-01-01
Recent years have witnessed a growing interest in developing methods for 3D face recognition. However, 3D scans often suffer from the problems of missing parts, large facial expressions, and occlusions. To be useful in real-world applications, a 3D face recognition approach should be able to handle these challenges. In this paper, we propose a novel general approach to deal with the 3D face recognition problem by making use of multiple keypoint descriptors (MKD) and the sparse representation-based classification (SRC). We call the proposed method 3DMKDSRC for short. Specifically, with 3DMKDSRC, each 3D face scan is represented as a set of descriptor vectors extracted from keypoints by meshSIFT. Descriptor vectors of gallery samples form the gallery dictionary. Given a probe 3D face scan, its descriptors are extracted at first and then its identity can be determined by using a multitask SRC. The proposed 3DMKDSRC approach does not require the pre-alignment between two face scans and is quite robust to the problems of missing data, occlusions and expressions. Its superiority over the other leading 3D face recognition schemes has been corroborated by extensive experiments conducted on three benchmark databases, Bosphorus, GavabDB, and FRGC2.0. The Matlab source code for 3DMKDSRC and the related evaluation results are publicly available at http://sse.tongji.edu.cn/linzhang/3dmkdsrcface/3dmkdsrc.htm.
An Adult Developmental Approach to Perceived Facial Attractiveness and Distinctiveness
Ebner, Natalie C.; Luedicke, Joerg; Voelkle, Manuel C.; Riediger, Michaela; Lin, Tian; Lindenberger, Ulman
2018-01-01
Attractiveness and distinctiveness constitute facial features with high biological and social relevance. Bringing a developmental perspective to research on social-cognitive face perception, we used a large set of faces taken from the FACES Lifespan Database to examine effects of face and perceiver characteristics on subjective evaluations of attractiveness and distinctiveness in young (20–31 years), middle-aged (44–55 years), and older (70–81 years) men and women. We report novel findings supporting variations by face and perceiver age, in interaction with gender and emotion: although older and middle-aged compared to young perceivers generally rated faces of all ages as more attractive, young perceivers gave relatively higher attractiveness ratings to young compared to middle-aged and older faces. Controlling for variations in attractiveness, older compared to young faces were viewed as more distinctive by young and middle-aged perceivers. Age affected attractiveness more negatively for female than male faces. Furthermore, happy faces were rated as most attractive, while disgusted faces were rated as least attractive, particularly so by middle-aged and older perceivers and for young and female faces. Perceivers largely agreed on distinctiveness ratings for neutral and happy emotions, but older and middle-aged compared to young perceivers rated faces displaying negative emotions as more distinctive. These findings underscore the importance of a lifespan perspective on perception of facial characteristics and suggest possible effects of age on goal-directed perception, social motivation, and in-group bias. This publication makes available picture-specific normative data for experimental stimulus selection. PMID:29867620
Public health workforce research in review: a 25-year retrospective.
Hilliard, Tracy M; Boulton, Matthew L
2012-05-01
The Robert Wood Johnson Foundation commissioned a systematic review of public health workforce literature in fall 2010. This paper reviews public health workforce articles published from 1985 to 2010 that support development of a public health workforce research agenda, and address four public health workforce research themes: (1) diversity; (2) recruitment, retention, separation, and retirement; (3) education, training, and credentialing; and (4) pay, promotion, performance, and job satisfaction. PubMed, ERIC, and Web of Science databases were used to search for articles; Google search engine was used to identify gray literature. The study used the following inclusion criteria: (1) articles written in English published in the U.S.; (2) the main theme(s) of the article relate to at least one of the four public health workforce research themes; and (3) the document focuses on the domestic public health workforce. The literature suggests that the U.S. public health workforce is facing several urgent priorities that should be addressed, including: (1) developing an ethnically/racially diverse membership to meet the needs of an increasingly diverse nation; (2) recruiting and retaining highly trained, well-prepared employees, and succession planning to replace retirees; (3) building public health workforce infrastructure while also confronting a major shortage in the public health workforce, through increased education, training, and credentialing; and (4) ensuring competitive salaries, opportunities for career advancement, standards for workplace performance, and fostering organizational cultures which generate high levels of job satisfaction for effective delivery of services. Additional research is needed in all four thematic areas reviewed to develop well-informed, evidence-based strategies for effectively addressing critical issues facing the public health workforce. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
Face liveness detection using shearlet-based feature descriptors
NASA Astrophysics Data System (ADS)
Feng, Litong; Po, Lai-Man; Li, Yuming; Yuan, Fang
2016-07-01
Face recognition is a widely used biometric technology due to its convenience but it is vulnerable to spoofing attacks made by nonreal faces such as photographs or videos of valid users. The antispoof problem must be well resolved before widely applying face recognition in our daily life. Face liveness detection is a core technology to make sure that the input face is a live person. However, this is still very challenging using conventional liveness detection approaches of texture analysis and motion detection. The aim of this paper is to propose a feature descriptor and an efficient framework that can be used to effectively deal with the face liveness detection problem. In this framework, new feature descriptors are defined using a multiscale directional transform (shearlet transform). Then, stacked autoencoders and a softmax classifier are concatenated to detect face liveness. We evaluated this approach using the CASIA Face antispoofing database and replay-attack database. The experimental results show that our approach performs better than the state-of-the-art techniques following the provided protocols of these databases, and it is possible to significantly enhance the security of the face recognition biometric system. In addition, the experimental results also demonstrate that this framework can be easily extended to classify different spoofing attacks.
Centre-based restricted nearest feature plane with angle classifier for face recognition
NASA Astrophysics Data System (ADS)
Tang, Linlin; Lu, Huifen; Zhao, Liang; Li, Zuohua
2017-10-01
An improved classifier based on the nearest feature plane (NFP), called the centre-based restricted nearest feature plane with the angle (RNFPA) classifier, is proposed for the face recognition problems here. The famous NFP uses the geometrical information of samples to increase the number of training samples, but it increases the computation complexity and it also has an inaccuracy problem coursed by the extended feature plane. To solve the above problems, RNFPA exploits a centre-based feature plane and utilizes a threshold of angle to restrict extended feature space. By choosing the appropriate angle threshold, RNFPA can improve the performance and decrease computation complexity. Experiments in the AT&T face database, AR face database and FERET face database are used to evaluate the proposed classifier. Compared with the original NFP classifier, the nearest feature line (NFL) classifier, the nearest neighbour (NN) classifier and some other improved NFP classifiers, the proposed one achieves competitive performance.
Fujimura, Tomomi; Umemura, Hiroyuki
2018-01-15
The present study describes the development and validation of a facial expression database comprising five different horizontal face angles in dynamic and static presentations. The database includes twelve expression types portrayed by eight Japanese models. This database was inspired by the dimensional and categorical model of emotions: surprise, fear, sadness, anger with open mouth, anger with closed mouth, disgust with open mouth, disgust with closed mouth, excitement, happiness, relaxation, sleepiness, and neutral (static only). The expressions were validated using emotion classification and Affect Grid rating tasks [Russell, Weiss, & Mendelsohn, 1989. Affect Grid: A single-item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57(3), 493-502]. The results indicate that most of the expressions were recognised as the intended emotions and could systematically represent affective valence and arousal. Furthermore, face angle and facial motion information influenced emotion classification and valence and arousal ratings. Our database will be available online at the following URL. https://www.dh.aist.go.jp/database/face2017/ .
Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems.
Hermosilla, Gabriel; Gallardo, Francisco; Farias, Gonzalo; San Martin, Cesar
2015-07-23
The aim of this article is to present a new face recognition system based on the fusion of visible and thermal features obtained from the most current local matching descriptors by maximizing face recognition rates through the use of genetic algorithms. The article considers a comparison of the performance of the proposed fusion methodology against five current face recognition methods and classic fusion techniques used commonly in the literature. These were selected by considering their performance in face recognition. The five local matching methods and the proposed fusion methodology are evaluated using the standard visible/thermal database, the Equinox database, along with a new database, the PUCV-VTF, designed for visible-thermal studies in face recognition and described for the first time in this work. The latter is created considering visible and thermal image sensors with different real-world conditions, such as variations in illumination, facial expression, pose, occlusion, etc. The main conclusions of this article are that two variants of the proposed fusion methodology surpass current face recognition methods and the classic fusion techniques reported in the literature, attaining recognition rates of over 97% and 99% for the Equinox and PUCV-VTF databases, respectively. The fusion methodology is very robust to illumination and expression changes, as it combines thermal and visible information efficiently by using genetic algorithms, thus allowing it to choose optimal face areas where one spectrum is more representative than the other.
Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems
Hermosilla, Gabriel; Gallardo, Francisco; Farias, Gonzalo; San Martin, Cesar
2015-01-01
The aim of this article is to present a new face recognition system based on the fusion of visible and thermal features obtained from the most current local matching descriptors by maximizing face recognition rates through the use of genetic algorithms. The article considers a comparison of the performance of the proposed fusion methodology against five current face recognition methods and classic fusion techniques used commonly in the literature. These were selected by considering their performance in face recognition. The five local matching methods and the proposed fusion methodology are evaluated using the standard visible/thermal database, the Equinox database, along with a new database, the PUCV-VTF, designed for visible-thermal studies in face recognition and described for the first time in this work. The latter is created considering visible and thermal image sensors with different real-world conditions, such as variations in illumination, facial expression, pose, occlusion, etc. The main conclusions of this article are that two variants of the proposed fusion methodology surpass current face recognition methods and the classic fusion techniques reported in the literature, attaining recognition rates of over 97% and 99% for the Equinox and PUCV-VTF databases, respectively. The fusion methodology is very robust to illumination and expression changes, as it combines thermal and visible information efficiently by using genetic algorithms, thus allowing it to choose optimal face areas where one spectrum is more representative than the other. PMID:26213932
Embedded wavelet-based face recognition under variable position
NASA Astrophysics Data System (ADS)
Cotret, Pascal; Chevobbe, Stéphane; Darouich, Mehdi
2015-02-01
For several years, face recognition has been a hot topic in the image processing field: this technique is applied in several domains such as CCTV, electronic devices delocking and so on. In this context, this work studies the efficiency of a wavelet-based face recognition method in terms of subject position robustness and performance on various systems. The use of wavelet transform has a limited impact on the position robustness of PCA-based face recognition. This work shows, for a well-known database (Yale face database B*), that subject position in a 3D space can vary up to 10% of the original ROI size without decreasing recognition rates. Face recognition is performed on approximation coefficients of the image wavelet transform: results are still satisfying after 3 levels of decomposition. Furthermore, face database size can be divided by a factor 64 (22K with K = 3). In the context of ultra-embedded vision systems, memory footprint is one of the key points to be addressed; that is the reason why compression techniques such as wavelet transform are interesting. Furthermore, it leads to a low-complexity face detection stage compliant with limited computation resources available on such systems. The approach described in this work is tested on three platforms from a standard x86-based computer towards nanocomputers such as RaspberryPi and SECO boards. For K = 3 and a database with 40 faces, the execution mean time for one frame is 0.64 ms on a x86-based computer, 9 ms on a SECO board and 26 ms on a RaspberryPi (B model).
Joint Sparse Representation for Robust Multimodal Biometrics Recognition
2012-01-01
described in III. Experimental evaluations on a comprehensive multimodal dataset and a face database have been described in section V. Finally, in...WVU Multimodal Dataset The WVU multimodal dataset is a comprehensive collection of different biometric modalities such as fingerprint, iris, palmprint ...Martnez and R. Benavente, “The AR face database ,” CVC Technical Report, June 1998. [29] U. Park and A. Jain, “Face matching and retrieval using soft
Local intensity area descriptor for facial recognition in ideal and noise conditions
NASA Astrophysics Data System (ADS)
Tran, Chi-Kien; Tseng, Chin-Dar; Chao, Pei-Ju; Ting, Hui-Min; Chang, Liyun; Huang, Yu-Jie; Lee, Tsair-Fwu
2017-03-01
We propose a local texture descriptor, local intensity area descriptor (LIAD), which is applied for human facial recognition in ideal and noisy conditions. Each facial image is divided into small regions from which LIAD histograms are extracted and concatenated into a single feature vector to represent the facial image. The recognition is performed using a nearest neighbor classifier with histogram intersection and chi-square statistics as dissimilarity measures. Experiments were conducted with LIAD using the ORL database of faces (Olivetti Research Laboratory, Cambridge), the Face94 face database, the Georgia Tech face database, and the FERET database. The results demonstrated the improvement in accuracy of our proposed descriptor compared to conventional descriptors [local binary pattern (LBP), uniform LBP, local ternary pattern, histogram of oriented gradients, and local directional pattern]. Moreover, the proposed descriptor was less sensitive to noise and had low histogram dimensionality. Thus, it is expected to be a powerful texture descriptor that can be used for various computer vision problems.
CD-ROM And Knowledge Integration
NASA Astrophysics Data System (ADS)
Rann, Leonard S.
1988-06-01
As the title of this paper suggests, it is about CD-ROM technology and the structuring of massive databases. Even more, it is about the impact CD-ROM has had on the publication of massive amounts of information, and the unique qualities of the medium that allows for the most sophisticated computer retrieval techniques that have ever been used. I am not drawing on experience as a pedant in the educational field, but rather as a software and database designer who has worked with CD-ROM since its inception. I will be giving examples from my company's current applications, as well as discussing some of the challenges that face information publishers in the future. In particular I have a belief about what the most valuable outlet can be created using CD-ROM will be: The CD-ROM is particularly suited for the mass delivery of information systems and databases that either require or utilize a large amount of computational preprocessing to allow a real-time or interactive response to be achieved. Until the advent of CD-ROM technology this level of sophistication in publication was virtually impossible. I will further explain this later in this paper. First, I will discuss the salient features of CD-ROM that make it unique in the world of data storage for electronic publishing.
Kobayashi, Norio; Ishii, Manabu; Takahashi, Satoshi; Mochizuki, Yoshiki; Matsushima, Akihiro; Toyoda, Tetsuro
2011-07-01
Global cloud frameworks for bioinformatics research databases become huge and heterogeneous; solutions face various diametric challenges comprising cross-integration, retrieval, security and openness. To address this, as of March 2011 organizations including RIKEN published 192 mammalian, plant and protein life sciences databases having 8.2 million data records, integrated as Linked Open or Private Data (LOD/LPD) using SciNetS.org, the Scientists' Networking System. The huge quantity of linked data this database integration framework covers is based on the Semantic Web, where researchers collaborate by managing metadata across public and private databases in a secured data space. This outstripped the data query capacity of existing interface tools like SPARQL. Actual research also requires specialized tools for data analysis using raw original data. To solve these challenges, in December 2009 we developed the lightweight Semantic-JSON interface to access each fragment of linked and raw life sciences data securely under the control of programming languages popularly used by bioinformaticians such as Perl and Ruby. Researchers successfully used the interface across 28 million semantic relationships for biological applications including genome design, sequence processing, inference over phenotype databases, full-text search indexing and human-readable contents like ontology and LOD tree viewers. Semantic-JSON services of SciNetS.org are provided at http://semanticjson.org.
MPEG-7 audio-visual indexing test-bed for video retrieval
NASA Astrophysics Data System (ADS)
Gagnon, Langis; Foucher, Samuel; Gouaillier, Valerie; Brun, Christelle; Brousseau, Julie; Boulianne, Gilles; Osterrath, Frederic; Chapdelaine, Claude; Dutrisac, Julie; St-Onge, Francis; Champagne, Benoit; Lu, Xiaojian
2003-12-01
This paper reports on the development status of a Multimedia Asset Management (MAM) test-bed for content-based indexing and retrieval of audio-visual documents within the MPEG-7 standard. The project, called "MPEG-7 Audio-Visual Document Indexing System" (MADIS), specifically targets the indexing and retrieval of video shots and key frames from documentary film archives, based on audio-visual content like face recognition, motion activity, speech recognition and semantic clustering. The MPEG-7/XML encoding of the film database is done off-line. The description decomposition is based on a temporal decomposition into visual segments (shots), key frames and audio/speech sub-segments. The visible outcome will be a web site that allows video retrieval using a proprietary XQuery-based search engine and accessible to members at the Canadian National Film Board (NFB) Cineroute site. For example, end-user will be able to ask to point on movie shots in the database that have been produced in a specific year, that contain the face of a specific actor who tells a specific word and in which there is no motion activity. Video streaming is performed over the high bandwidth CA*net network deployed by CANARIE, a public Canadian Internet development organization.
1997-08-22
A former Pinellas County, FL public health worker, [name removed], is charged with using a government AIDS surveillance database for his own personal dating scheme. He kept the county health department records on his own laptop computer and used the information to screen potential dates for himself and his friends. [Name removed] filed a pretrial free speech argument contending that his First Amendment rights were being violated. The Pinellas County judge dismissed that argument, clearing the way for a September trial. [Name removed] could face a year in prison on a first-degree misdemeanor charge.
Tensor discriminant color space for face recognition.
Wang, Su-Jing; Yang, Jian; Zhang, Na; Zhou, Chun-Guang
2011-09-01
Recent research efforts reveal that color may provide useful information for face recognition. For different visual tasks, the choice of a color space is generally different. How can a color space be sought for the specific face recognition problem? To address this problem, this paper represents a color image as a third-order tensor and presents the tensor discriminant color space (TDCS) model. The model can keep the underlying spatial structure of color images. With the definition of n-mode between-class scatter matrices and within-class scatter matrices, TDCS constructs an iterative procedure to obtain one color space transformation matrix and two discriminant projection matrices by maximizing the ratio of these two scatter matrices. The experiments are conducted on two color face databases, AR and Georgia Tech face databases, and the results show that both the performance and the efficiency of the proposed method are better than those of the state-of-the-art color image discriminant model, which involve one color space transformation matrix and one discriminant projection matrix, specifically in a complicated face database with various pose variations.
[Establishment of the database of the 3D facial models for the plastic surgery based on network].
Liu, Zhe; Zhang, Hai-Lin; Zhang, Zheng-Guo; Qiao, Qun
2008-07-01
To collect the three-dimensional (3D) facial data of 30 facial deformity patients by the 3D scanner and establish a professional database based on Internet. It can be helpful for the clinical intervention. The primitive point data of face topography were collected by the 3D scanner. Then the 3D point cloud was edited by reverse engineering software to reconstruct the 3D model of the face. The database system was divided into three parts, including basic information, disease information and surgery information. The programming language of the web system is Java. The linkages between every table of the database are credibility. The query operation and the data mining are convenient. The users can visit the database via the Internet and use the image analysis system to observe the 3D facial models interactively. In this paper we presented a database and a web system adapt to the plastic surgery of human face. It can be used both in clinic and in basic research.
3D Face Recognition Based on Multiple Keypoint Descriptors and Sparse Representation
Zhang, Lin; Ding, Zhixuan; Li, Hongyu; Shen, Ying; Lu, Jianwei
2014-01-01
Recent years have witnessed a growing interest in developing methods for 3D face recognition. However, 3D scans often suffer from the problems of missing parts, large facial expressions, and occlusions. To be useful in real-world applications, a 3D face recognition approach should be able to handle these challenges. In this paper, we propose a novel general approach to deal with the 3D face recognition problem by making use of multiple keypoint descriptors (MKD) and the sparse representation-based classification (SRC). We call the proposed method 3DMKDSRC for short. Specifically, with 3DMKDSRC, each 3D face scan is represented as a set of descriptor vectors extracted from keypoints by meshSIFT. Descriptor vectors of gallery samples form the gallery dictionary. Given a probe 3D face scan, its descriptors are extracted at first and then its identity can be determined by using a multitask SRC. The proposed 3DMKDSRC approach does not require the pre-alignment between two face scans and is quite robust to the problems of missing data, occlusions and expressions. Its superiority over the other leading 3D face recognition schemes has been corroborated by extensive experiments conducted on three benchmark databases, Bosphorus, GavabDB, and FRGC2.0. The Matlab source code for 3DMKDSRC and the related evaluation results are publicly available at http://sse.tongji.edu.cn/linzhang/3dmkdsrcface/3dmkdsrc.htm. PMID:24940876
FaceWarehouse: a 3D facial expression database for visual computing.
Cao, Chen; Weng, Yanlin; Zhou, Shun; Tong, Yiying; Zhou, Kun
2014-03-01
We present FaceWarehouse, a database of 3D facial expressions for visual computing applications. We use Kinect, an off-the-shelf RGBD camera, to capture 150 individuals aged 7-80 from various ethnic backgrounds. For each person, we captured the RGBD data of her different expressions, including the neutral expression and 19 other expressions such as mouth-opening, smile, kiss, etc. For every RGBD raw data record, a set of facial feature points on the color image such as eye corners, mouth contour, and the nose tip are automatically localized, and manually adjusted if better accuracy is required. We then deform a template facial mesh to fit the depth data as closely as possible while matching the feature points on the color image to their corresponding points on the mesh. Starting from these fitted face meshes, we construct a set of individual-specific expression blendshapes for each person. These meshes with consistent topology are assembled as a rank-3 tensor to build a bilinear face model with two attributes: identity and expression. Compared with previous 3D facial databases, for every person in our database, there is a much richer matching collection of expressions, enabling depiction of most human facial actions. We demonstrate the potential of FaceWarehouse for visual computing with four applications: facial image manipulation, face component transfer, real-time performance-based facial image animation, and facial animation retargeting from video to image.
Maack, Jana K; Bohne, Agnes; Nordahl, Dag; Livsdatter, Lina; Lindahl, Åsne A W; Øvervoll, Morten; Wang, Catharina E A; Pfuhl, Gerit
2017-01-01
Newborns and infants are highly depending on successfully communicating their needs; e.g., through crying and facial expressions. Although there is a growing interest in the mechanisms of and possible influences on the recognition of facial expressions in infants, heretofore there exists no validated database of emotional infant faces. In the present article we introduce a standardized and freely available face database containing Caucasian infant face images from 18 infants 4 to 12 months old. The development and validation of the Tromsø Infant Faces (TIF) database is presented in Study 1. Over 700 adults categorized the photographs by seven emotion categories (happy, sad, disgusted, angry, afraid, surprised, neutral) and rated intensity, clarity and their valance. In order to examine the relevance of TIF, we then present its first application in Study 2, investigating differences in emotion recognition across different stages of parenthood. We found a small gender effect in terms of women giving higher intensity and clarity ratings than men. Moreover, parents of young children rated the images as clearer than all the other groups, and parents rated "neutral" expressions as more clearly and more intense. Our results suggest that caretaking experience provides an implicit advantage in the processing of emotional expressions in infant faces, especially for the more difficult, ambiguous expressions.
Locating faces in color photographs using neural networks
NASA Astrophysics Data System (ADS)
Brown, Joe R.; Talley, Jim
1994-03-01
This paper summarizes a research effort in finding the locations and sizes of faces in color images (photographs, video stills, etc.) if, in fact, faces are presented. Scenarios for using such a system include serving as the means of localizing skin for automatic color balancing during photo processing or it could be used as a front-end in a customs port of energy context for a system which identified persona non grata given a database of known faces. The approach presented here is a hybrid system including: a neural pre-processor, some conventional image processing steps, and a neural classifier as the final face/non-face discriminator. Neither the training (containing 17,655 faces) nor the test (containing 1829 faces) imagery databases were constrained in their content or quality. The results for the pilot system are reported along with a discussion for improving the current system.
24 CFR 81.72 - Public-use database and public information.
Code of Federal Regulations, 2012 CFR
2012-04-01
... 24 Housing and Urban Development 1 2012-04-01 2012-04-01 false Public-use database and public... Public-use database and public information. (a) General. Except as provided in paragraph (c) of this section, the Secretary shall establish and make available for public use, a public-use database containing...
24 CFR 81.72 - Public-use database and public information.
Code of Federal Regulations, 2013 CFR
2013-04-01
... 24 Housing and Urban Development 1 2013-04-01 2013-04-01 false Public-use database and public... Public-use database and public information. (a) General. Except as provided in paragraph (c) of this section, the Secretary shall establish and make available for public use, a public-use database containing...
24 CFR 81.72 - Public-use database and public information.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 24 Housing and Urban Development 1 2010-04-01 2010-04-01 false Public-use database and public... Public-use database and public information. (a) General. Except as provided in paragraph (c) of this section, the Secretary shall establish and make available for public use, a public-use database containing...
24 CFR 81.72 - Public-use database and public information.
Code of Federal Regulations, 2014 CFR
2014-04-01
... 24 Housing and Urban Development 1 2014-04-01 2014-04-01 false Public-use database and public... Public-use database and public information. (a) General. Except as provided in paragraph (c) of this section, the Secretary shall establish and make available for public use, a public-use database containing...
24 CFR 81.72 - Public-use database and public information.
Code of Federal Regulations, 2011 CFR
2011-04-01
... 24 Housing and Urban Development 1 2011-04-01 2011-04-01 false Public-use database and public... Public-use database and public information. (a) General. Except as provided in paragraph (c) of this section, the Secretary shall establish and make available for public use, a public-use database containing...
Subject-specific and pose-oriented facial features for face recognition across poses.
Lee, Ping-Han; Hsu, Gee-Sern; Wang, Yun-Wen; Hung, Yi-Ping
2012-10-01
Most face recognition scenarios assume that frontal faces or mug shots are available for enrollment to the database, faces of other poses are collected in the probe set. Given a face from the probe set, one needs to determine whether a match in the database exists. This is under the assumption that in forensic applications, most suspects have their mug shots available in the database, and face recognition aims at recognizing the suspects when their faces of various poses are captured by a surveillance camera. This paper considers a different scenario: given a face with multiple poses available, which may or may not include a mug shot, develop a method to recognize the face with poses different from those captured. That is, given two disjoint sets of poses of a face, one for enrollment and the other for recognition, this paper reports a method best for handling such cases. The proposed method includes feature extraction and classification. For feature extraction, we first cluster the poses of each subject's face in the enrollment set into a few pose classes and then decompose the appearance of the face in each pose class using Embedded Hidden Markov Model, which allows us to define a set of subject-specific and pose-priented (SSPO) facial components for each subject. For classification, an Adaboost weighting scheme is used to fuse the component classifiers with SSPO component features. The proposed method is proven to outperform other approaches, including a component-based classifier with local facial features cropped manually, in an extensive performance evaluation study.
Privacy Preserving Facial and Fingerprint Multi-biometric Authentication
NASA Astrophysics Data System (ADS)
Anzaku, Esla Timothy; Sohn, Hosik; Ro, Yong Man
The cases of identity theft can be mitigated by the adoption of secure authentication methods. Biohashing and its variants, which utilizes secret keys and biometrics, are promising methods for secure authentication; however, their shortcoming is the degraded performance under the assumption that secret keys are compromised. In this paper, we extend the concept of Biohashing to multi-biometrics - facial and fingerprint traits. We chose these traits because they are widely used, howbeit, little research attention has been given to designing privacy preserving multi-biometric systems using them. Instead of just using a single modality (facial or fingerprint), we presented a framework for using both modalities. The improved performance of the proposed method, using face and fingerprint, as against either facial or fingerprint trait used in isolation is evaluated using two chimerical bimodal databases formed from publicly available facial and fingerprint databases.
Method for secure electronic voting system: face recognition based approach
NASA Astrophysics Data System (ADS)
Alim, M. Affan; Baig, Misbah M.; Mehboob, Shahzain; Naseem, Imran
2017-06-01
In this paper, we propose a framework for low cost secure electronic voting system based on face recognition. Essentially Local Binary Pattern (LBP) is used for face feature characterization in texture format followed by chi-square distribution is used for image classification. Two parallel systems are developed based on smart phone and web applications for face learning and verification modules. The proposed system has two tire security levels by using person ID followed by face verification. Essentially class specific threshold is associated for controlling the security level of face verification. Our system is evaluated three standard databases and one real home based database and achieve the satisfactory recognition accuracies. Consequently our propose system provides secure, hassle free voting system and less intrusive compare with other biometrics.
The Future of ECHO: Evaluating Open Source Possibilities
NASA Astrophysics Data System (ADS)
Pilone, D.; Gilman, J.; Baynes, K.; Mitchell, A. E.
2012-12-01
NASA's Earth Observing System ClearingHOuse (ECHO) is a format agnostic metadata repository supporting over 3000 collections and 100M science granules. ECHO exposes FTP and RESTful Data Ingest APIs in addition to both SOAP and RESTful search and order capabilities. Built on top of ECHO is a human facing search and order web application named Reverb. ECHO processes hundreds of orders, tens of thousands of searches, and 1-2M ingest actions each week. As ECHO's holdings, metadata format support, and visibility have increased, the ECHO team has received requests by non-NASA entities for copies of ECHO that can be run locally against their data holdings. ESDIS and the ECHO Team have begun investigations into various deployment and Open Sourcing models that can balance the real constraints faced by the ECHO project with the benefits of providing ECHO capabilities to a broader set of users and providers. This talk will discuss several release and Open Source models being investigated by the ECHO team along with the impacts those models are expected to have on the project. We discuss: - Addressing complex deployment or setup issues for potential users - Models of vetting code contributions - Balancing external (public) user requests versus our primary partners - Preparing project code for public release, including navigating licensing issues related to leveraged libraries - Dealing with non-free project dependencies such as commercial databases - Dealing with sensitive aspects of project code such as database passwords, authentication approaches, security through obscurity, etc. - Ongoing support for the released code including increased testing demands, bug fixes, security fixes, and new features.
Parallel Worlds of Public and Commercial Bioactive Chemistry Data
2014-01-01
The availability of structures and linked bioactivity data in databases is powerfully enabling for drug discovery and chemical biology. However, we now review some confounding issues with the divergent expansions of public and commercial sources of chemical structures. These are associated with not only expanding patent extraction but also increasingly large vendor collections amassed via different selection criteria between SciFinder from Chemical Abstracts Service (CAS) and major public sources such as PubChem, ChemSpider, UniChem, and others. These increasingly massive collections may include both real and virtual compounds, as well as so-called prophetic compounds from patents. We address a range of issues raised by the challenges faced resolving the NIH probe compounds. In addition we highlight the confounding of prior-art searching by virtual compounds that could impact the composition of matter patentability of a new medicinal chemistry lead. Finally, we propose some potential solutions. PMID:25415348
YAZDKHASTI, Mansureh; POURREZA, Abolghasem; PIRAK, Arezoo; ABDI, Fatemeh
2015-01-01
Abstract Unintended pregnancy is among the most troubling public health problems and a major reproductive health issue worldwide imposing appreciable socioeconomic burden on individuals and society. Governments generally plan to control growth of births (especially wanted births as well as orphans and illegitimate births) imposing extra burden on public funding of the governments which inevitably affects economic efficiency and leads to economic slowdown, too. The present narrative review focuses on socioeconomic impacts of unintended pregnancy from the health system perspective. Follow of Computerized searches of Academic, 53 scientific journals were found in various databases including PubMed, EMBASE, ISI, Iranian databases, IPPE, UNFPA (1985-2013). Original articles, review articles, published books about the purpose of the paper were used. During this search, 20 studies were found which met the inclusion criteria. Unintended pregnancy is one of the most critical challenges facing the public health system that imposes substantial financial and social costs on society. On the other hand, affecting fertility indicators, it causes reduced quality of life and workforce efficiency. Therefore lowering the incidence of intended pregnancies correlates with elevating economic growth, socio-economic development and promoting public health. Regarding recent policy changes in Iran on family planning programs and adopting a new approach in increasing population may place the country at a higher risk of increasing the rate of unintended pregnancy. Hence, all governmental plans and initiatives of public policy must be regulated intelligently and logically aiming to make saving in public spending and reduce healthcare cost inflation. PMID:26060771
Yazdkhasti, Mansureh; Pourreza, Abolghasem; Pirak, Arezoo; Abdi, Fatemeh
2015-01-01
Unintended pregnancy is among the most troubling public health problems and a major reproductive health issue worldwide imposing appreciable socioeconomic burden on individuals and society. Governments generally plan to control growth of births (especially wanted births as well as orphans and illegitimate births) imposing extra burden on public funding of the governments which inevitably affects economic efficiency and leads to economic slowdown, too. The present narrative review focuses on socioeconomic impacts of unintended pregnancy from the health system perspective. Follow of Computerized searches of Academic, 53 scientific journals were found in various databases including PubMed, EMBASE, ISI, Iranian databases, IPPE, UNFPA (1985-2013). Original articles, review articles, published books about the purpose of the paper were used. During this search, 20 studies were found which met the inclusion criteria. Unintended pregnancy is one of the most critical challenges facing the public health system that imposes substantial financial and social costs on society. On the other hand, affecting fertility indicators, it causes reduced quality of life and workforce efficiency. Therefore lowering the incidence of intended pregnancies correlates with elevating economic growth, socio-economic development and promoting public health. Regarding recent policy changes in Iran on family planning programs and adopting a new approach in increasing population may place the country at a higher risk of increasing the rate of unintended pregnancy. Hence, all governmental plans and initiatives of public policy must be regulated intelligently and logically aiming to make saving in public spending and reduce healthcare cost inflation.
Exploiting genomic data to identify proteins involved in abalone reproduction.
Mendoza-Porras, Omar; Botwright, Natasha A; McWilliam, Sean M; Cook, Mathew T; Harris, James O; Wijffels, Gene; Colgrave, Michelle L
2014-08-28
Aside from their critical role in reproduction, abalone gonads serve as an indicator of sexual maturity and energy balance, two key considerations for effective abalone culture. Temperate abalone farmers face issues with tank restocking with highly marketable abalone owing to inefficient spawning induction methods. The identification of key proteins in sexually mature abalone will serve as the foundation for a greater understanding of reproductive biology. Addressing this knowledge gap is the first step towards improving abalone aquaculture methods. Proteomic profiling of female and male gonads of greenlip abalone, Haliotis laevigata, was undertaken using liquid chromatography-mass spectrometry. Owing to the incomplete nature of abalone protein databases, in addition to searching against two publicly available databases, a custom database comprising genomic data was used. Overall, 162 and 110 proteins were identified in females and males respectively with 40 proteins common to both sexes. For proteins involved in sexual maturation, sperm and egg structure, motility, acrosomal reaction and fertilization, 23 were identified only in females, 18 only in males and 6 were common. Gene ontology analysis revealed clear differences between the female and male protein profiles reflecting a higher rate of protein synthesis in the ovary and higher metabolic activity in the testis. A comprehensive mass spectrometry-based analysis was performed to profile the abalone gonad proteome providing the foundation for future studies of reproduction in abalone. Key proteins involved in both reproduction and energy balance were identified. Genomic resources were utilised to build a database of molluscan proteins yielding >60% more protein identifications than in a standard workflow employing public protein databases. Copyright © 2014 Elsevier B.V. All rights reserved.
Seubert, Liza J; Whitelaw, Kerry; Hattingh, Laetitia; Watson, Margaret C; Clifford, Rhonda M
2017-12-13
Easy access to effective over-the-counter (OTC) treatments allows self-management of some conditions, however inappropriate or incorrect supply or use of OTC medicines can cause harm. Pharmacy personnel should support consumers in their health-seeking behaviour by utilising effective communication skills underpinned by clinical knowledge. To identify interventions targeted towards improving communication between consumers and pharmacy personnel during OTC consultations in the community pharmacy setting. Systematic review and narrative analysis. Databases searched were MEDLINE, EMBASE, Psycinfo, Cochrane Central Register and Cochrane Database of Systematic Reviews for literature published between 2000 and 30 October 2014, as well as reference lists of included articles. The search was re-run on 18 January 2016 and 25 September 2017 to maximise the currency. Two reviewers independently screened retrieved articles for inclusion, assessed study quality and extracted data. Full publications of intervention studies were included. Participants were community pharmacy personnel and/or consumers involved in OTC consultations. Interventions which aimed to improve communication during OTC consultations in the community pharmacy setting were included if they involved a direct measurable communication outcome. Studies reporting attitudes and measures not quantifiable were excluded. The protocol was published on Prospero Database of Systematic Reviews. Of 4978 records identified, 11 studies met inclusion criteria. Interventions evaluated were: face-to-face training sessions (n = 10); role-plays (n = 9); a software decision making program (n = 1); and simulated patient (SP) visits followed by immediate feedback (n = 1). Outcomes were measured using: SP methodology (n = 10) and a survey (n = 1), with most (n = 10) reporting a level of improvement in some communication behaviours. Empirical evaluation of interventions using active learning techniques such as face-to-face training with role-play can improve some communication skills. However interventions that are not fully described limit the ability for replication and/or generalisability. This review identified interventions targeting pharmacy personnel. Future interventions to improve communication should consider the consumer's role in OTC consultations. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
The relationship between competition and quality in procedural cardiac care.
Glick, David B; Wroblewski, Kristen; Apfelbaum, Sean; Dauber, Benjamin; Woo, Joyce; Tung, Avery
2015-01-01
Anesthesiologists are frequently involved in efforts to meet perioperative quality metrics. The degree to which hospitals compete on publicly reported quality measures, however, is unclear. We hypothesized that hospitals in more competitive environments would be more likely to compete on quality and thus perform better on such measures. To test our hypothesis, we studied the relationship between competition and quality in hospitals providing procedural cardiac care and participating in a national quality database. For hospitals performing heart valve surgery (HVS) and delivering acute myocardial infarction (AMI) care in the Hospital Compare database, we assessed the degree of intrahospital competition using both geographical radius and federally defined metropolitan statistical area (MSA) to determine the degree of intrahospital competition. For each hospital, we then correlated the degree of competition with quality measure performance, mortality, patient volume, and per-patient Medicare costs for both HVS and AMI. Six hundred fifty-three hospitals met inclusion criteria for HVS and 1898 hospitals for AMI care. We found that for both definitions of competition, hospitals facing greater competition did not demonstrate better quality measure performance for either HVS or AMI. For both diagnoses, competition by number of hospitals correlated positively with cost: partial correlation coefficients = 0.40 (0.42 for MSA) (P < 0.001) for HVS and 0.52 (0.47 for MSA) (P < 0.001) for AMI. An analysis of the Hospital Compare database found that competition among hospitals correlated overall with increased Medicare costs but did not predict better scores on publicly reported quality metrics. Our results suggest that hospitals do not compete meaningfully on publicly reported quality metrics or costs.
Databases in the United Kingdom.
ERIC Educational Resources Information Center
Chadwyck-Healey, Charles
This overview of the status of online databases in the United Kingdom describes online users' attitudes and practices in light of two surveys conducted in the past two years. The Online Information Centre at ASLIB sampled 325 users, and Chadwyck-Healey, Ltd., conducted a face-to-face survey of librarians in a broad cross-section of 76 libraries.…
Database Design Learning: A Project-Based Approach Organized through a Course Management System
ERIC Educational Resources Information Center
Dominguez, Cesar; Jaime, Arturo
2010-01-01
This paper describes an active method for database design learning through practical tasks development by student teams in a face-to-face course. This method integrates project-based learning, and project management techniques and tools. Some scaffolding is provided at the beginning that forms a skeleton that adapts to a great variety of…
Public perceptions of stigma towards people with schizophrenia, depression, and anxiety.
Wood, Lisa; Birtel, Michele; Alsawy, Sarah; Pyle, Melissa; Morrison, Anthony
2014-12-15
Stigma is one of the greatest challenges facing people with a psychiatric diagnosis. They are widely stigmatised by the general public in the western world. The aim of this study was to examine public stigma attitudes towards schizophrenia, depression and anxiety. The Office of National Statistics (ONS) 2008 opinions survey (n=1070) was utilised. Percentage of endorsements for stigma items were initially compared to the previous 1998 and 2003 databases. Overall stigma attitudes had decreased (from 1998 to 2008) but increased since 2003. A principal components factor analysis identified that stigma attitudes have the same three factors structure across all diagnoses; negative stereotypes, patient blame and inability to recover. Schizophrenia was significantly associated with the most negative stereotypes, least blamed and viewed as least likely to recover compared to anxiety and depression. Public and individualised interventions that target diagnostic variability in stigma attitudes need to be developed and examined in future research. Copyright © 2014. Published by Elsevier Ireland Ltd.
Content-based video indexing and searching with wavelet transformation
NASA Astrophysics Data System (ADS)
Stumpf, Florian; Al-Jawad, Naseer; Du, Hongbo; Jassim, Sabah
2006-05-01
Biometric databases form an essential tool in the fight against international terrorism, organised crime and fraud. Various government and law enforcement agencies have their own biometric databases consisting of combination of fingerprints, Iris codes, face images/videos and speech records for an increasing number of persons. In many cases personal data linked to biometric records are incomplete and/or inaccurate. Besides, biometric data in different databases for the same individual may be recorded with different personal details. Following the recent terrorist atrocities, law enforcing agencies collaborate more than before and have greater reliance on database sharing. In such an environment, reliable biometric-based identification must not only determine who you are but also who else you are. In this paper we propose a compact content-based video signature and indexing scheme that can facilitate retrieval of multiple records in face biometric databases that belong to the same person even if their associated personal data are inconsistent. We shall assess the performance of our system using a benchmark audio visual face biometric database that has multiple videos for each subject but with different identity claims. We shall demonstrate that retrieval of relatively small number of videos that are nearest, in terms of the proposed index, to any video in the database results in significant proportion of that individual biometric data.
Kobayashi, Norio; Ishii, Manabu; Takahashi, Satoshi; Mochizuki, Yoshiki; Matsushima, Akihiro; Toyoda, Tetsuro
2011-01-01
Global cloud frameworks for bioinformatics research databases become huge and heterogeneous; solutions face various diametric challenges comprising cross-integration, retrieval, security and openness. To address this, as of March 2011 organizations including RIKEN published 192 mammalian, plant and protein life sciences databases having 8.2 million data records, integrated as Linked Open or Private Data (LOD/LPD) using SciNetS.org, the Scientists' Networking System. The huge quantity of linked data this database integration framework covers is based on the Semantic Web, where researchers collaborate by managing metadata across public and private databases in a secured data space. This outstripped the data query capacity of existing interface tools like SPARQL. Actual research also requires specialized tools for data analysis using raw original data. To solve these challenges, in December 2009 we developed the lightweight Semantic-JSON interface to access each fragment of linked and raw life sciences data securely under the control of programming languages popularly used by bioinformaticians such as Perl and Ruby. Researchers successfully used the interface across 28 million semantic relationships for biological applications including genome design, sequence processing, inference over phenotype databases, full-text search indexing and human-readable contents like ontology and LOD tree viewers. Semantic-JSON services of SciNetS.org are provided at http://semanticjson.org. PMID:21632604
Emotion-independent face recognition
NASA Astrophysics Data System (ADS)
De Silva, Liyanage C.; Esther, Kho G. P.
2000-12-01
Current face recognition techniques tend to work well when recognizing faces under small variations in lighting, facial expression and pose, but deteriorate under more extreme conditions. In this paper, a face recognition system to recognize faces of known individuals, despite variations in facial expression due to different emotions, is developed. The eigenface approach is used for feature extraction. Classification methods include Euclidean distance, back propagation neural network and generalized regression neural network. These methods yield 100% recognition accuracy when the training database is representative, containing one image representing the peak expression for each emotion of each person apart from the neutral expression. The feature vectors used for comparison in the Euclidean distance method and for training the neural network must be all the feature vectors of the training set. These results are obtained for a face database consisting of only four persons.
Ferreira Junior, José Raniery; Oliveira, Marcelo Costa; de Azevedo-Marques, Paulo Mazzoncini
2016-12-01
Lung cancer is the leading cause of cancer-related deaths in the world, and its main manifestation is pulmonary nodules. Detection and classification of pulmonary nodules are challenging tasks that must be done by qualified specialists, but image interpretation errors make those tasks difficult. In order to aid radiologists on those hard tasks, it is important to integrate the computer-based tools with the lesion detection, pathology diagnosis, and image interpretation processes. However, computer-aided diagnosis research faces the problem of not having enough shared medical reference data for the development, testing, and evaluation of computational methods for diagnosis. In order to minimize this problem, this paper presents a public nonrelational document-oriented cloud-based database of pulmonary nodules characterized by 3D texture attributes, identified by experienced radiologists and classified in nine different subjective characteristics by the same specialists. Our goal with the development of this database is to improve computer-aided lung cancer diagnosis and pulmonary nodule detection and classification research through the deployment of this database in a cloud Database as a Service framework. Pulmonary nodule data was provided by the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), image descriptors were acquired by a volumetric texture analysis, and database schema was developed using a document-oriented Not only Structured Query Language (NoSQL) approach. The proposed database is now with 379 exams, 838 nodules, and 8237 images, 4029 of them are CT scans and 4208 manually segmented nodules, and it is allocated in a MongoDB instance on a cloud infrastructure.
Deep neural network features for horses identity recognition using multiview horses' face pattern
NASA Astrophysics Data System (ADS)
Jarraya, Islem; Ouarda, Wael; Alimi, Adel M.
2017-03-01
To control the state of horses in the born, breeders needs a monitoring system with a surveillance camera that can identify and distinguish between horses. We proposed in [5] a method of horse's identification at a distance using the frontal facial biometric modality. Due to the change of views, the face recognition becomes more difficult. In this paper, the number of images used in our THoDBRL'2015 database (Tunisian Horses DataBase of Regim Lab) is augmented by adding other images of other views. Thus, we used front, right and left profile face's view. Moreover, we suggested an approach for multiview face recognition. First, we proposed to use the Gabor filter for face characterization. Next, due to the augmentation of the number of images, and the large number of Gabor features, we proposed to test the Deep Neural Network with the auto-encoder to obtain the more pertinent features and to reduce the size of features vector. Finally, we performed the proposed approach on our THoDBRL'2015 database and we used the linear SVM for classification.
Face detection on distorted images using perceptual quality-aware features
NASA Astrophysics Data System (ADS)
Gunasekar, Suriya; Ghosh, Joydeep; Bovik, Alan C.
2014-02-01
We quantify the degradation in performance of a popular and effective face detector when human-perceived image quality is degraded by distortions due to additive white gaussian noise, gaussian blur or JPEG compression. It is observed that, within a certain range of perceived image quality, a modest increase in image quality can drastically improve face detection performance. These results can be used to guide resource or bandwidth allocation in a communication/delivery system that is associated with face detection tasks. A new face detector based on QualHOG features is also proposed that augments face-indicative HOG features with perceptual quality-aware spatial Natural Scene Statistics (NSS) features, yielding improved tolerance against image distortions. The new detector provides statistically significant improvements over a strong baseline on a large database of face images representing a wide range of distortions. To facilitate this study, we created a new Distorted Face Database, containing face and non-face patches from images impaired by a variety of common distortion types and levels. This new dataset is available for download and further experimentation at www.ideal.ece.utexas.edu/˜suriya/DFD/.
The construction FACE database - Codifying the NIOSH FACE reports.
Dong, Xiuwen Sue; Largay, Julie A; Wang, Xuanwen; Cain, Chris Trahan; Romano, Nancy
2017-09-01
The National Institute for Occupational Safety and Health (NIOSH) has published reports detailing the results of investigations on selected work-related fatalities through the Fatality Assessment and Control Evaluation (FACE) program since 1982. Information from construction-related FACE reports was coded into the Construction FACE Database (CFD). Use of the CFD was illustrated by analyzing major CFD variables. A total of 768 construction fatalities were included in the CFD. Information on decedents, safety training, use of PPE, and FACE recommendations were coded. Analysis shows that one in five decedents in the CFD died within the first two months on the job; 75% and 43% of reports recommended having safety training or installing protection equipment, respectively. Comprehensive research using FACE reports may improve understanding of work-related fatalities and provide much-needed information on injury prevention. The CFD allows researchers to analyze the FACE reports quantitatively and efficiently. Copyright © 2017 Elsevier Ltd and National Safety Council. All rights reserved.
Earlinet database: new design and new products for a wider use of aerosol lidar data
NASA Astrophysics Data System (ADS)
Mona, Lucia; D'Amico, Giuseppe; Amato, Francesco; Linné, Holger; Baars, Holger; Wandinger, Ulla; Pappalardo, Gelsomina
2018-04-01
The EARLINET database is facing a complete reshaping to meet the wide request for more intuitive products and to face the even wider request related to the new initiatives such as Copernicus, the European Earth observation programme. The new design has been carried out in continuity with the past, to take advantage from long-term database. In particular, the new structure will provide information suitable for synergy with other instruments, near real time (NRT) applications, validation and process studies and climate applications.
Gaze-fixation to happy faces predicts mood repair after a negative mood induction.
Sanchez, Alvaro; Vazquez, Carmelo; Gomez, Diego; Joormann, Jutta
2014-02-01
The present study tested the interplay between mood and attentional deployment by examining attention to positive (i.e., happy faces) and negative (i.e., angry and sad faces) stimuli in response to experimental inductions of sad and happy mood. Participants underwent a negative, neutral, or positive mood induction procedure (MIP) which was followed by an assessment of their attentional deployment to emotional faces using eye-tracking technology. Faces were selected from the Karolinska Directed Emotional Faces (KDEF) database (Lundqvist, Flykt, & Öhman, 1998). In the positive MIP condition, analyses revealed a mood-congruent relation between positive mood and greater attentional deployment to happy faces. In the negative MIP condition, however, analyses revealed a mood-incongruent relation between increased negative mood and greater attentional deployment to happy faces. Furthermore, attentional deployment to happy faces after the negative MIP predicted participants' mood recovery at the end of the experimental session. These results suggest that attentional processing of positive information may play a role in mood repair, which may have important clinical implications. PsycINFO Database Record (c) 2014 APA, all rights reserved.
Structure Identification Using High Resolution Mass ...
The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy poster presented at the Eastern Analytical Symposium (EAS) held in Somerset, NJ
Hudson, Lawrence N; Newbold, Tim; Contu, Sara; Hill, Samantha L L; Lysenko, Igor; De Palma, Adriana; Phillips, Helen R P; Senior, Rebecca A; Bennett, Dominic J; Booth, Hollie; Choimes, Argyrios; Correia, David L P; Day, Julie; Echeverría-Londoño, Susy; Garon, Morgan; Harrison, Michelle L K; Ingram, Daniel J; Jung, Martin; Kemp, Victoria; Kirkpatrick, Lucinda; Martin, Callum D; Pan, Yuan; White, Hannah J; Aben, Job; Abrahamczyk, Stefan; Adum, Gilbert B; Aguilar-Barquero, Virginia; Aizen, Marcelo A; Ancrenaz, Marc; Arbeláez-Cortés, Enrique; Armbrecht, Inge; Azhar, Badrul; Azpiroz, Adrián B; Baeten, Lander; Báldi, András; Banks, John E; Barlow, Jos; Batáry, Péter; Bates, Adam J; Bayne, Erin M; Beja, Pedro; Berg, Åke; Berry, Nicholas J; Bicknell, Jake E; Bihn, Jochen H; Böhning-Gaese, Katrin; Boekhout, Teun; Boutin, Céline; Bouyer, Jérémy; Brearley, Francis Q; Brito, Isabel; Brunet, Jörg; Buczkowski, Grzegorz; Buscardo, Erika; Cabra-García, Jimmy; Calviño-Cancela, María; Cameron, Sydney A; Cancello, Eliana M; Carrijo, Tiago F; Carvalho, Anelena L; Castro, Helena; Castro-Luna, Alejandro A; Cerda, Rolando; Cerezo, Alexis; Chauvat, Matthieu; Clarke, Frank M; Cleary, Daniel F R; Connop, Stuart P; D'Aniello, Biagio; da Silva, Pedro Giovâni; Darvill, Ben; Dauber, Jens; Dejean, Alain; Diekötter, Tim; Dominguez-Haydar, Yamileth; Dormann, Carsten F; Dumont, Bertrand; Dures, Simon G; Dynesius, Mats; Edenius, Lars; Elek, Zoltán; Entling, Martin H; Farwig, Nina; Fayle, Tom M; Felicioli, Antonio; Felton, Annika M; Ficetola, Gentile F; Filgueiras, Bruno K C; Fonte, Steven J; Fraser, Lauchlan H; Fukuda, Daisuke; Furlani, Dario; Ganzhorn, Jörg U; Garden, Jenni G; Gheler-Costa, Carla; Giordani, Paolo; Giordano, Simonetta; Gottschalk, Marco S; Goulson, Dave; Gove, Aaron D; Grogan, James; Hanley, Mick E; Hanson, Thor; Hashim, Nor R; Hawes, Joseph E; Hébert, Christian; Helden, Alvin J; Henden, John-André; Hernández, Lionel; Herzog, Felix; Higuera-Diaz, Diego; Hilje, Branko; Horgan, Finbarr G; Horváth, Roland; Hylander, Kristoffer; Isaacs-Cubides, Paola; Ishitani, Masahiro; Jacobs, Carmen T; Jaramillo, Víctor J; Jauker, Birgit; Jonsell, Mats; Jung, Thomas S; Kapoor, Vena; Kati, Vassiliki; Katovai, Eric; Kessler, Michael; Knop, Eva; Kolb, Annette; Kőrösi, Ádám; Lachat, Thibault; Lantschner, Victoria; Le Féon, Violette; LeBuhn, Gretchen; Légaré, Jean-Philippe; Letcher, Susan G; Littlewood, Nick A; López-Quintero, Carlos A; Louhaichi, Mounir; Lövei, Gabor L; Lucas-Borja, Manuel Esteban; Luja, Victor H; Maeto, Kaoru; Magura, Tibor; Mallari, Neil Aldrin; Marin-Spiotta, Erika; Marshall, E J P; Martínez, Eliana; Mayfield, Margaret M; Mikusinski, Grzegorz; Milder, Jeffrey C; Miller, James R; Morales, Carolina L; Muchane, Mary N; Muchane, Muchai; Naidoo, Robin; Nakamura, Akihiro; Naoe, Shoji; Nates-Parra, Guiomar; Navarrete Gutierrez, Dario A; Neuschulz, Eike L; Noreika, Norbertas; Norfolk, Olivia; Noriega, Jorge Ari; Nöske, Nicole M; O'Dea, Niall; Oduro, William; Ofori-Boateng, Caleb; Oke, Chris O; Osgathorpe, Lynne M; Paritsis, Juan; Parra-H, Alejandro; Pelegrin, Nicolás; Peres, Carlos A; Persson, Anna S; Petanidou, Theodora; Phalan, Ben; Philips, T Keith; Poveda, Katja; Power, Eileen F; Presley, Steven J; Proença, Vânia; Quaranta, Marino; Quintero, Carolina; Redpath-Downing, Nicola A; Reid, J Leighton; Reis, Yana T; Ribeiro, Danilo B; Richardson, Barbara A; Richardson, Michael J; Robles, Carolina A; Römbke, Jörg; Romero-Duque, Luz Piedad; Rosselli, Loreta; Rossiter, Stephen J; Roulston, T'ai H; Rousseau, Laurent; Sadler, Jonathan P; Sáfián, Szabolcs; Saldaña-Vázquez, Romeo A; Samnegård, Ulrika; Schüepp, Christof; Schweiger, Oliver; Sedlock, Jodi L; Shahabuddin, Ghazala; Sheil, Douglas; Silva, Fernando A B; Slade, Eleanor M; Smith-Pardo, Allan H; Sodhi, Navjot S; Somarriba, Eduardo J; Sosa, Ramón A; Stout, Jane C; Struebig, Matthew J; Sung, Yik-Hei; Threlfall, Caragh G; Tonietto, Rebecca; Tóthmérész, Béla; Tscharntke, Teja; Turner, Edgar C; Tylianakis, Jason M; Vanbergen, Adam J; Vassilev, Kiril; Verboven, Hans A F; Vergara, Carlos H; Vergara, Pablo M; Verhulst, Jort; Walker, Tony R; Wang, Yanping; Watling, James I; Wells, Konstans; Williams, Christopher D; Willig, Michael R; Woinarski, John C Z; Wolf, Jan H D; Woodcock, Ben A; Yu, Douglas W; Zaitsev, Andrey S; Collen, Ben; Ewers, Rob M; Mace, Georgina M; Purves, Drew W; Scharlemann, Jörn P W; Purvis, Andy
2014-01-01
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. PMID:25558364
Hudson, Lawrence N; Newbold, Tim; Contu, Sara; Hill, Samantha L L; Lysenko, Igor; De Palma, Adriana; Phillips, Helen R P; Senior, Rebecca A; Bennett, Dominic J; Booth, Hollie; Choimes, Argyrios; Correia, David L P; Day, Julie; Echeverría-Londoño, Susy; Garon, Morgan; Harrison, Michelle L K; Ingram, Daniel J; Jung, Martin; Kemp, Victoria; Kirkpatrick, Lucinda; Martin, Callum D; Pan, Yuan; White, Hannah J; Aben, Job; Abrahamczyk, Stefan; Adum, Gilbert B; Aguilar-Barquero, Virginia; Aizen, Marcelo A; Ancrenaz, Marc; Arbeláez-Cortés, Enrique; Armbrecht, Inge; Azhar, Badrul; Azpiroz, Adrián B; Baeten, Lander; Báldi, András; Banks, John E; Barlow, Jos; Batáry, Péter; Bates, Adam J; Bayne, Erin M; Beja, Pedro; Berg, Åke; Berry, Nicholas J; Bicknell, Jake E; Bihn, Jochen H; Böhning-Gaese, Katrin; Boekhout, Teun; Boutin, Céline; Bouyer, Jérémy; Brearley, Francis Q; Brito, Isabel; Brunet, Jörg; Buczkowski, Grzegorz; Buscardo, Erika; Cabra-García, Jimmy; Calviño-Cancela, María; Cameron, Sydney A; Cancello, Eliana M; Carrijo, Tiago F; Carvalho, Anelena L; Castro, Helena; Castro-Luna, Alejandro A; Cerda, Rolando; Cerezo, Alexis; Chauvat, Matthieu; Clarke, Frank M; Cleary, Daniel F R; Connop, Stuart P; D'Aniello, Biagio; da Silva, Pedro Giovâni; Darvill, Ben; Dauber, Jens; Dejean, Alain; Diekötter, Tim; Dominguez-Haydar, Yamileth; Dormann, Carsten F; Dumont, Bertrand; Dures, Simon G; Dynesius, Mats; Edenius, Lars; Elek, Zoltán; Entling, Martin H; Farwig, Nina; Fayle, Tom M; Felicioli, Antonio; Felton, Annika M; Ficetola, Gentile F; Filgueiras, Bruno K C; Fonte, Steven J; Fraser, Lauchlan H; Fukuda, Daisuke; Furlani, Dario; Ganzhorn, Jörg U; Garden, Jenni G; Gheler-Costa, Carla; Giordani, Paolo; Giordano, Simonetta; Gottschalk, Marco S; Goulson, Dave; Gove, Aaron D; Grogan, James; Hanley, Mick E; Hanson, Thor; Hashim, Nor R; Hawes, Joseph E; Hébert, Christian; Helden, Alvin J; Henden, John-André; Hernández, Lionel; Herzog, Felix; Higuera-Diaz, Diego; Hilje, Branko; Horgan, Finbarr G; Horváth, Roland; Hylander, Kristoffer; Isaacs-Cubides, Paola; Ishitani, Masahiro; Jacobs, Carmen T; Jaramillo, Víctor J; Jauker, Birgit; Jonsell, Mats; Jung, Thomas S; Kapoor, Vena; Kati, Vassiliki; Katovai, Eric; Kessler, Michael; Knop, Eva; Kolb, Annette; Kőrösi, Ádám; Lachat, Thibault; Lantschner, Victoria; Le Féon, Violette; LeBuhn, Gretchen; Légaré, Jean-Philippe; Letcher, Susan G; Littlewood, Nick A; López-Quintero, Carlos A; Louhaichi, Mounir; Lövei, Gabor L; Lucas-Borja, Manuel Esteban; Luja, Victor H; Maeto, Kaoru; Magura, Tibor; Mallari, Neil Aldrin; Marin-Spiotta, Erika; Marshall, E J P; Martínez, Eliana; Mayfield, Margaret M; Mikusinski, Grzegorz; Milder, Jeffrey C; Miller, James R; Morales, Carolina L; Muchane, Mary N; Muchane, Muchai; Naidoo, Robin; Nakamura, Akihiro; Naoe, Shoji; Nates-Parra, Guiomar; Navarrete Gutierrez, Dario A; Neuschulz, Eike L; Noreika, Norbertas; Norfolk, Olivia; Noriega, Jorge Ari; Nöske, Nicole M; O'Dea, Niall; Oduro, William; Ofori-Boateng, Caleb; Oke, Chris O; Osgathorpe, Lynne M; Paritsis, Juan; Parra-H, Alejandro; Pelegrin, Nicolás; Peres, Carlos A; Persson, Anna S; Petanidou, Theodora; Phalan, Ben; Philips, T Keith; Poveda, Katja; Power, Eileen F; Presley, Steven J; Proença, Vânia; Quaranta, Marino; Quintero, Carolina; Redpath-Downing, Nicola A; Reid, J Leighton; Reis, Yana T; Ribeiro, Danilo B; Richardson, Barbara A; Richardson, Michael J; Robles, Carolina A; Römbke, Jörg; Romero-Duque, Luz Piedad; Rosselli, Loreta; Rossiter, Stephen J; Roulston, T'ai H; Rousseau, Laurent; Sadler, Jonathan P; Sáfián, Szabolcs; Saldaña-Vázquez, Romeo A; Samnegård, Ulrika; Schüepp, Christof; Schweiger, Oliver; Sedlock, Jodi L; Shahabuddin, Ghazala; Sheil, Douglas; Silva, Fernando A B; Slade, Eleanor M; Smith-Pardo, Allan H; Sodhi, Navjot S; Somarriba, Eduardo J; Sosa, Ramón A; Stout, Jane C; Struebig, Matthew J; Sung, Yik-Hei; Threlfall, Caragh G; Tonietto, Rebecca; Tóthmérész, Béla; Tscharntke, Teja; Turner, Edgar C; Tylianakis, Jason M; Vanbergen, Adam J; Vassilev, Kiril; Verboven, Hans A F; Vergara, Carlos H; Vergara, Pablo M; Verhulst, Jort; Walker, Tony R; Wang, Yanping; Watling, James I; Wells, Konstans; Williams, Christopher D; Willig, Michael R; Woinarski, John C Z; Wolf, Jan H D; Woodcock, Ben A; Yu, Douglas W; Zaitsev, Andrey S; Collen, Ben; Ewers, Rob M; Mace, Georgina M; Purves, Drew W; Scharlemann, Jörn P W; Purvis, Andy
2014-12-01
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
3D landmarking in multiexpression face analysis: a preliminary study on eyebrows and mouth.
Vezzetti, Enrico; Marcolin, Federica
2014-08-01
The application of three-dimensional (3D) facial analysis and landmarking algorithms in the field of maxillofacial surgery and other medical applications, such as diagnosis of diseases by facial anomalies and dysmorphism, has gained a lot of attention. In a previous work, we used a geometric approach to automatically extract some 3D facial key points, called landmarks, working in the differential geometry domain, through the coefficients of fundamental forms, principal curvatures, mean and Gaussian curvatures, derivatives, shape and curvedness indexes, and tangent map. In this article we describe the extension of our previous landmarking algorithm, which is now able to extract eyebrows and mouth landmarks using both old and new meshes. The algorithm has been tested on our face database and on the public Bosphorus 3D database. We chose to work on the mouth and eyebrows as a separate study because of the role that these parts play in facial expressions. In fact, since the mouth is the part of the face that moves the most and affects mainly facial expressions, extracting mouth landmarks from various facial poses means that the newly developed algorithm is pose-independent. This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors http://www.springer.com/00266 .
Interactive searching of facial image databases
NASA Astrophysics Data System (ADS)
Nicholls, Robert A.; Shepherd, John W.; Shepherd, Jean
1995-09-01
A set of psychological facial descriptors has been devised to enable computerized searching of criminal photograph albums. The descriptors have been used to encode image databased of up to twelve thousand images. Using a system called FACES, the databases are searched by translating a witness' verbal description into corresponding facial descriptors. Trials of FACES have shown that this coding scheme is more productive and efficient than searching traditional photograph albums. An alternative method of searching the encoded database using a genetic algorithm is currenly being tested. The genetic search method does not require the witness to verbalize a description of the target but merely to indicate a degree of similarity between the target and a limited selection of images from the database. The major drawback of FACES is that is requires a manual encoding of images. Research is being undertaken to automate the process, however, it will require an algorithm which can predict human descriptive values. Alternatives to human derived coding schemes exist using statistical classifications of images. Since databases encoded using statistical classifiers do not have an obvious direct mapping to human derived descriptors, a search method which does not require the entry of human descriptors is required. A genetic search algorithm is being tested for such a purpose.
Physiology-based face recognition in the thermal infrared spectrum.
Buddharaju, Pradeep; Pavlidis, Ioannis T; Tsiamyrtzis, Panagiotis; Bazakos, Mike
2007-04-01
The current dominant approaches to face recognition rely on facial characteristics that are on or over the skin. Some of these characteristics have low permanency can be altered, and their phenomenology varies significantly with environmental factors (e.g., lighting). Many methodologies have been developed to address these problems to various degrees. However, the current framework of face recognition research has a potential weakness due to its very nature. We present a novel framework for face recognition based on physiological information. The motivation behind this effort is to capitalize on the permanency of innate characteristics that are under the skin. To establish feasibility, we propose a specific methodology to capture facial physiological patterns using the bioheat information contained in thermal imagery. First, the algorithm delineates the human face from the background using the Bayesian framework. Then, it localizes the superficial blood vessel network using image morphology. The extracted vascular network produces contour shapes that are characteristic to each individual. The branching points of the skeletonized vascular network are referred to as Thermal Minutia Points (TMPs) and constitute the feature database. To render the method robust to facial pose variations, we collect for each subject to be stored in the database five different pose images (center, midleft profile, left profile, midright profile, and right profile). During the classification stage, the algorithm first estimates the pose of the test image. Then, it matches the local and global TMP structures extracted from the test image with those of the corresponding pose images in the database. We have conducted experiments on a multipose database of thermal facial images collected in our laboratory, as well as on the time-gap database of the University of Notre Dame. The good experimental results show that the proposed methodology has merit, especially with respect to the problem of low permanence over time. More importantly, the results demonstrate the feasibility of the physiological framework in face recognition and open the way for further methodological and experimental research in the area.
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Ynalvez, Marcus Antonius; Ynalvez, Ruby A; Ramírez, Enrique
2017-03-04
We explored the social shaping of science at the micro-level reality of face-to-face interaction in one of the traditional places for scientific activities-the scientific lab. We specifically examined how doctoral students' perception of their: (i) interaction with doctoral mentors (MMI) and (ii) lab social environment (LSE) influenced productivity. Construed as the production of peer-reviewed articles, we measured productivity using total number of articles (TOTAL), number of articles with impact factor greater than or equal to 4.00 (IFGE4), and number of first-authored articles (NFA). Via face-to-face interviews, we obtained data from n = 210 molecular biology Ph.D. students in selected universities in Japan, Singapore, and Taiwan. Additional productivity data (NFA) were obtained from online bibliometric databases. To summarize the original 13 MMI and 13 LSE semantic-differential items which we used to measure students' perceptions, principal component (PC) analyses were performed. The results were smaller sets of 4 MMI PCs and 4 LSE PCs. To identify which PCs influenced publication counts, we performed Poisson regression analyses. Although perceived MMI was not linked to productivity, perceived LSE was linked: Students who perceived their LSE as intellectually stimulating reported high levels of productivity in both TOTAL and IFGE4, but not in NFA. Our findings not only highlight how students' perception of their training environment factors in the production of scientific output, our findings also carry important implications for improving mentoring programs in science. © 2016 by The International Union of Biochemistry and Molecular Biology, 45(2):130-144, 2017. © 2016 The International Union of Biochemistry and Molecular Biology.
NREL: Renewable Resource Data Center - Biomass Resource Publications
Marginal Lands in APEC Economies NREL Publications Database For a comprehensive list of other NREL biomass resource publications, explore NREL's Publications Database. When searching the database, search on "
Face photo-sketch synthesis and recognition.
Wang, Xiaogang; Tang, Xiaoou
2009-11-01
In this paper, we propose a novel face photo-sketch synthesis and recognition method using a multiscale Markov Random Fields (MRF) model. Our system has three components: 1) given a face photo, synthesizing a sketch drawing; 2) given a face sketch drawing, synthesizing a photo; and 3) searching for face photos in the database based on a query sketch drawn by an artist. It has useful applications for both digital entertainment and law enforcement. We assume that faces to be studied are in a frontal pose, with normal lighting and neutral expression, and have no occlusions. To synthesize sketch/photo images, the face region is divided into overlapping patches for learning. The size of the patches decides the scale of local face structures to be learned. From a training set which contains photo-sketch pairs, the joint photo-sketch model is learned at multiple scales using a multiscale MRF model. By transforming a face photo to a sketch (or transforming a sketch to a photo), the difference between photos and sketches is significantly reduced, thus allowing effective matching between the two in face sketch recognition. After the photo-sketch transformation, in principle, most of the proposed face photo recognition approaches can be applied to face sketch recognition in a straightforward way. Extensive experiments are conducted on a face sketch database including 606 faces, which can be downloaded from our Web site (http://mmlab.ie.cuhk.edu.hk/facesketch.html).
Gandy, Jessica R; Fossett, Lela; Wong, Brian J F
2016-05-01
This study aims to: 1) determine the current consumer trends of over-the-counter (OTC) and custom-made face mask usage among National Collegiate Athletic Association (NCAA) Division I athletic programs; and 2) provide a literature review of OTC face guards and a classified database. Literature review and survey. Consumer trends were obtained by contacting all 352 NCAA Division I programs. Athletic trainers present in the office when called answered the following questions: 1) "When an athlete breaks his or her nose, is a custom or generic face guard used?" and 2) "What brand is the generic face guard that is used?" Data was analyzed to determine trends among athletic programs. Also, a database of OTC devices available was generated using PubMed, Google, and manufacturer Web sites. Among the 352 NCAA Division I athletic programs, 254 programs participated in the survey (72% response rate). The majority preferred custom-made guards (46%). Disadvantages included high cost and slow manufacture turnaround time. Only 20% of the programs strictly used generic brands. For the face mask database, 10 OTC products were identified and classified into four categories based on design, with pricing ranging between $35.99 and $69.95. Only a handful of face masks exist for U.S. consumers, but none of them have been reviewed or classified by product design, sport application, price, and collegiate consumer use. This project details usage trends among NCAA Division I athletic programs and provides a list of available devices that can be purchased to protect the nose and face during sports. NA. Laryngoscope, 126:1054-1060, 2016. © 2015 The American Laryngological, Rhinological and Otological Society, Inc.
Uyghur face recognition method combining 2DDCT with POEM
NASA Astrophysics Data System (ADS)
Yi, Lihamu; Ya, Ermaimaiti
2017-11-01
In this paper, in light of the reduced recognition rate and poor robustness of Uyghur face under illumination and partial occlusion, a Uyghur face recognition method combining Two Dimension Discrete Cosine Transform (2DDCT) with Patterns Oriented Edge Magnitudes (POEM) was proposed. Firstly, the Uyghur face images were divided into 8×8 block matrix, and the Uyghur face images after block processing were converted into frequency-domain status using 2DDCT; secondly, the Uyghur face images were compressed to exclude non-sensitive medium frequency parts and non-high frequency parts, so it can reduce the feature dimensions necessary for the Uyghur face images, and further reduce the amount of computation; thirdly, the corresponding POEM histograms of the Uyghur face images were obtained by calculating the feature quantity of POEM; fourthly, the POEM histograms were cascaded together as the texture histogram of the center feature point to obtain the texture features of the Uyghur face feature points; finally, classification of the training samples was carried out using deep learning algorithm. The simulation experiment results showed that the proposed algorithm further improved the recognition rate of the self-built Uyghur face database, and greatly improved the computing speed of the self-built Uyghur face database, and had strong robustness.
Glance Information System for ATLAS Management
NASA Astrophysics Data System (ADS)
Grael, F. F.; Maidantchik, C.; Évora, L. H. R. A.; Karam, K.; Moraes, L. O. F.; Cirilli, M.; Nessi, M.; Pommès, K.; ATLAS Collaboration
2011-12-01
ATLAS Experiment is an international collaboration where more than 37 countries, 172 institutes and laboratories, 2900 physicists, engineers, and computer scientists plus 700 students participate. The management of this teamwork involves several aspects such as institute contribution, employment records, members' appointment, authors' list, preparation and publication of papers and speakers nomination. Previously, most of the information was accessible by a limited group and developers had to face problems such as different terminology, diverse data modeling, heterogeneous databases and unlike users needs. Moreover, the systems were not designed to handle new requirements. The maintenance has to be an easy task due to the long lifetime experiment and professionals turnover. The Glance system, a generic mechanism for accessing any database, acts as an intermediate layer isolating the user from the particularities of each database. It retrieves, inserts and updates the database independently of its technology and modeling. Relying on Glance, a group of systems were built to support the ATLAS management and operation aspects: ATLAS Membership, ATLAS Appointments, ATLAS Speakers, ATLAS Analysis Follow-Up, ATLAS Conference Notes, ATLAS Thesis, ATLAS Traceability and DSS Alarms Viewer. This paper presents the overview of the Glance information framework and describes the privilege mechanism developed to grant different level of access for each member and system.
Investigating the key indicators for evaluating post-disaster shelter.
Nath, Ronita; Shannon, Harry; Kabali, Conrad; Oremus, Mark
2017-07-01
This study sought to identify the primary indicators for evaluating shelter assistance following natural disasters and then to develop a shelter evaluation instrument based on these indicators. Electronic databases and the 'grey' literature were scoured for publications with a relation to post-disaster shelter assistance. Indicators for evaluating such assistance were extracted from these publications. In total, 1,525 indicators were extracted from 181 publications. A preliminary evaluation instrument was designed from these 1,525 indicators. Shelter experts checked the instrument for face and content validity, and it was revised subsequently based on their input. The revised instrument comprises a version for use by shelter agencies (48 questions that assess 23 indicators) and a version for use by beneficiaries (52 questions that assess 22 indicators). The instrument can serve as a standardised tool to enable groups to gauge whether or not the shelter assistance that they supply meets the needs of disaster-affected populations. © 2017 The Author(s). Disasters © Overseas Development Institute, 2017.
Methodology of the determination of the uncertainties by using the biometric device the broadway 3D
NASA Astrophysics Data System (ADS)
Jasek, Roman; Talandova, Hana; Adamek, Milan
2016-06-01
The biometric identification by face is among one of the most widely used methods of biometric identification. Due to it provides a faster and more accurate identification; it was implemented into area of security 3D face reader by Broadway manufacturer was used to measure. It is equipped with the 3D camera system, which uses the method of structured light scanning and saves the template into the 3D model of face. The obtained data were evaluated by software Turnstile Enrolment Application (TEA). The measurements were used 3D face reader the Broadway 3D. First, the person was scanned and stored in the database. Thereafter person has already been compared with the stored template in the database for each method. Finally, a measure of reliability was evaluated for the Broadway 3D face reader.
Public variant databases: liability?
Thorogood, Adrian; Cook-Deegan, Robert; Knoppers, Bartha Maria
2017-07-01
Public variant databases support the curation, clinical interpretation, and sharing of genomic data, thus reducing harmful errors or delays in diagnosis. As variant databases are increasingly relied on in the clinical context, there is concern that negligent variant interpretation will harm patients and attract liability. This article explores the evolving legal duties of laboratories, public variant databases, and physicians in clinical genomics and recommends a governance framework for databases to promote responsible data sharing.Genet Med advance online publication 15 December 2016.
A smart technique for attendance system to recognize faces through parallelism
NASA Astrophysics Data System (ADS)
Prabhavathi, B.; Tanuja, V.; Madhu Viswanatham, V.; Rajashekhara Babu, M.
2017-11-01
Major part of recognising a person is face with the help of image processing techniques we can exploit the physical features of a person. In the old approach method that is used in schools and colleges it is there that the professor calls the student name and then the attendance for the students marked. Here in paper want to deviate from the old approach and go with the new approach by using techniques that are there in image processing. In this paper we presenting spontaneous presence for students in classroom. At first classroom image has been in use and after that image is kept in data record. For the images that are stored in the database we apply system algorithm which includes steps such as, histogram classification, noise removal, face detection and face recognition methods. So by using these steps we detect the faces and then compare it with the database. The attendance gets marked automatically if the system recognizes the faces.
Eichert, Hans-Christoph; Riper, Heleen
2017-01-01
Background Many studies have provided evidence for the effectiveness of Internet-based stand-alone interventions for mental disorders. A newer form of intervention combines the strengths of face-to-face (f2f) and Internet approaches (blended interventions). Objective The aim of this review was to provide an overview of (1) the different formats of blended treatments for adults, (2) the stage of treatment in which these are applied, (3) their objective in combining face-to-face and Internet-based approaches, and (4) their effectiveness. Methods Studies on blended concepts were identified through systematic searches in the MEDLINE, PsycINFO, Cochrane, and PubMed databases. Keywords included terms indicating face-to-face interventions (“inpatient,” “outpatient,” “face-to-face,” or “residential treatment”), which were combined with terms indicating Internet treatment (“internet,” “online,” or “web”) and terms indicating mental disorders (“mental health,” “depression,” “anxiety,” or “substance abuse”). We focused on three of the most common mental disorders (depression, anxiety, and substance abuse). Results We identified 64 publications describing 44 studies, 27 of which were randomized controlled trials (RCTs). Results suggest that, compared with stand-alone face-to-face therapy, blended therapy may save clinician time, lead to lower dropout rates and greater abstinence rates of patients with substance abuse, or help maintain initially achieved changes within psychotherapy in the long-term effects of inpatient therapy. However, there is a lack of comparative outcome studies investigating the superiority of the outcomes of blended treatments in comparison with classic face-to-face or Internet-based treatments, as well as of studies identifying the optimal ratio of face-to-face and Internet sessions. Conclusions Several studies have shown that, for common mental health disorders, blended interventions are feasible and can be more effective compared with no treatment controls. However, more RCTs on effectiveness and cost-effectiveness of blended treatments, especially compared with nonblended treatments are necessary. PMID:28916506
Erbe, Doris; Eichert, Hans-Christoph; Riper, Heleen; Ebert, David Daniel
2017-09-15
Many studies have provided evidence for the effectiveness of Internet-based stand-alone interventions for mental disorders. A newer form of intervention combines the strengths of face-to-face (f2f) and Internet approaches (blended interventions). The aim of this review was to provide an overview of (1) the different formats of blended treatments for adults, (2) the stage of treatment in which these are applied, (3) their objective in combining face-to-face and Internet-based approaches, and (4) their effectiveness. Studies on blended concepts were identified through systematic searches in the MEDLINE, PsycINFO, Cochrane, and PubMed databases. Keywords included terms indicating face-to-face interventions ("inpatient," "outpatient," "face-to-face," or "residential treatment"), which were combined with terms indicating Internet treatment ("internet," "online," or "web") and terms indicating mental disorders ("mental health," "depression," "anxiety," or "substance abuse"). We focused on three of the most common mental disorders (depression, anxiety, and substance abuse). We identified 64 publications describing 44 studies, 27 of which were randomized controlled trials (RCTs). Results suggest that, compared with stand-alone face-to-face therapy, blended therapy may save clinician time, lead to lower dropout rates and greater abstinence rates of patients with substance abuse, or help maintain initially achieved changes within psychotherapy in the long-term effects of inpatient therapy. However, there is a lack of comparative outcome studies investigating the superiority of the outcomes of blended treatments in comparison with classic face-to-face or Internet-based treatments, as well as of studies identifying the optimal ratio of face-to-face and Internet sessions. Several studies have shown that, for common mental health disorders, blended interventions are feasible and can be more effective compared with no treatment controls. However, more RCTs on effectiveness and cost-effectiveness of blended treatments, especially compared with nonblended treatments are necessary. ©Doris Erbe, Hans-Christoph Eichert, Heleen Riper, David Daniel Ebert. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.09.2017.
Database Support for Research in Public Administration
ERIC Educational Resources Information Center
Tucker, James Cory
2005-01-01
This study examines the extent to which databases support student and faculty research in the area of public administration. A list of journals in public administration, public policy, political science, public budgeting and finance, and other related areas was compared to the journal content list of six business databases. These databases…
A robust human face detection algorithm
NASA Astrophysics Data System (ADS)
Raviteja, Thaluru; Karanam, Srikrishna; Yeduguru, Dinesh Reddy V.
2012-01-01
Human face detection plays a vital role in many applications like video surveillance, managing a face image database, human computer interface among others. This paper proposes a robust algorithm for face detection in still color images that works well even in a crowded environment. The algorithm uses conjunction of skin color histogram, morphological processing and geometrical analysis for detecting human faces. To reinforce the accuracy of face detection, we further identify mouth and eye regions to establish the presence/absence of face in a particular region of interest.
Berkeley Lab - Materials Sciences Division
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Le, T Hoang Ngan; Luu, Khoa; Savvides, Marios
2013-08-01
Robust facial hair detection and segmentation is a highly valued soft biometric attribute for carrying out forensic facial analysis. In this paper, we propose a novel and fully automatic system, called SparCLeS, for beard/moustache detection and segmentation in challenging facial images. SparCLeS uses the multiscale self-quotient (MSQ) algorithm to preprocess facial images and deal with illumination variation. Histogram of oriented gradients (HOG) features are extracted from the preprocessed images and a dynamic sparse classifier is built using these features to classify a facial region as either containing skin or facial hair. A level set based approach, which makes use of the advantages of both global and local information, is then used to segment the regions of a face containing facial hair. Experimental results demonstrate the effectiveness of our proposed system in detecting and segmenting facial hair regions in images drawn from three databases, i.e., the NIST Multiple Biometric Grand Challenge (MBGC) still face database, the NIST Color Facial Recognition Technology FERET database, and the Labeled Faces in the Wild (LFW) database.
Challenging the public stigma of mental illness: a meta-analysis of outcome studies.
Corrigan, Patrick W; Morris, Scott B; Michaels, Patrick J; Rafacz, Jennifer D; Rüsch, Nicolas
2012-10-01
Public stigma and discrimination have pernicious effects on the lives of people with serious mental illnesses. Given a plethora of research on changing the stigma of mental illness, this article reports on a meta-analysis that examined the effects of antistigma approaches that included protest or social activism, education of the public, and contact with persons with mental illness. The investigators heeded published guidelines for systematic literature reviews in health care. This comprehensive and systematic review included articles in languages other than English, dissertations, and population studies. The search included all articles from the inception of the databases until October 2010. Search terms fell into three categories: stigma, mental illness (such as schizophrenia and depression), and change program (including contact and education). The search yielded 72 articles and reports meeting the inclusion criteria of relevance to changing public stigma and sufficient data and statistics to complete analyses. Studies represented 38,364 research participants from 14 countries. Effect sizes were computed for all studies and for each treatment condition within studies. Comparisons between effect sizes were conducted with a weighted one-way analysis of variance. Overall, both education and contact had positive effects on reducing stigma for adults and adolescents with a mental illness. However, contact was better than education at reducing stigma for adults. For adolescents, the opposite pattern was found: education was more effective. Overall, face-to-face contact was more effective than contact by video. Future research is needed to identify moderators of the effects of both education and contact.
Wright, Michelle F; Yanagida, Takuya; Aoyama, Ikuko; Dědková, Lenka; Li, Zheng; Kamble, Shanmukh V; Bayraktar, Fatih; Ševčíková, Anna; Soudi, Shruti; Macháčková, Hana; Lei, Li; Shu, Chang
2017-01-01
The authors' aim was to investigate gender and cultural differences in the attributions used to determine causality for hypothetical public and private face-to-face and cyber victimization scenarios among 3,432 adolescents (age range = 11-15 years; 49% girls) from China, Cyprus, the Czech Republic, India, Japan, and the United States, while accounting for their individualism and collectivism. Adolescents completed a questionnaire on cultural values and read four hypothetical victimization scenarios, including public face-to-face victimization, public cyber victimization, private face-to-face victimization, and private cyber victimization. After reading the scenarios, they rated different attributions (i.e., self-blame, aggressor-blame, joking, normative, conflict) according to how strongly they believed the attributions explained why victimization occurred. Overall, adolescents reported that they would utilize the attributions of self-blame, aggressor-blame, and normative more for public forms of victimization and face-to-face victimization than for private forms of victimization and cyber victimization. Differences were found according to gender and country of origin as well. Such findings underscore the importance of delineating between different forms of victimization when examining adolescents' attributions.
Public variant databases: liability?
Thorogood, Adrian; Cook-Deegan, Robert; Knoppers, Bartha Maria
2017-01-01
Public variant databases support the curation, clinical interpretation, and sharing of genomic data, thus reducing harmful errors or delays in diagnosis. As variant databases are increasingly relied on in the clinical context, there is concern that negligent variant interpretation will harm patients and attract liability. This article explores the evolving legal duties of laboratories, public variant databases, and physicians in clinical genomics and recommends a governance framework for databases to promote responsible data sharing. Genet Med advance online publication 15 December 2016 PMID:27977006
Kanekar, A; Bitto, A
2012-01-01
Ethics is a discipline, which primarily deals with what is moral and immoral behavior. Public Health Ethics is translation of ethical theories and concepts into practice to address complex multidimensional public health problems. The primary purpose of this paper was to conduct a narrative literature review-addressing role of ethics in developing curriculum in programs and schools of public health, ethics-related instruction in schools and programs of public health and the role of ethics in developing a competent public health workforce. An open search of various health databases including Google scholar and Ebscohost yielded 15 articles related to use of ethics in public health practice or public health training and the salient features were reported. Results indicated a variable amount of ethics' related training in schools and programs of public health along with public health practitioner training across the nation. Bioethics, medical ethics and public health ethics were found to be subspecialties' needing separate ethical frameworks to guide decision making. Ethics based curricular and non-curricular training for emerging public health professionals from schools and programs of public health in the United States is extremely essential. In the current age of public health challenges faced in the United States and globally, to have an ethically untrained public health force is arguably, immoral and unethical and jeopardizes population health. There is an urgent need to develop innovative ethic based curriculums in academia as well as finding effective means to translate these curricular competencies into public health practice.
Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance.
Zhao, Xi; Zou, Jianhua; Li, Huibin; Dellandrea, Emmanuel; Kakadiaris, Ioannis A; Chen, Liming
2016-09-01
People with low vision, Alzheimer's disease, and autism spectrum disorder experience difficulties in perceiving or interpreting facial expression of emotion in their social lives. Though automatic facial expression recognition (FER) methods on 2-D videos have been extensively investigated, their performance was constrained by challenges in head pose and lighting conditions. The shape information in 3-D facial data can reduce or even overcome these challenges. However, high expenses of 3-D cameras prevent their widespread use. Fortunately, 2.5-D facial data from emerging portable RGB-D cameras provide a good balance for this dilemma. In this paper, we propose an automatic emotion annotation solution on 2.5-D facial data collected from RGB-D cameras. The solution consists of a facial landmarking method and a FER method. Specifically, we propose building a deformable partial face model and fit the model to a 2.5-D face for localizing facial landmarks automatically. In FER, a novel action unit (AU) space-based FER method has been proposed. Facial features are extracted using landmarks and further represented as coordinates in the AU space, which are classified into facial expressions. Evaluated on three publicly accessible facial databases, namely EURECOM, FRGC, and Bosphorus databases, the proposed facial landmarking and expression recognition methods have achieved satisfactory results. Possible real-world applications using our algorithms have also been discussed.
ERIC Educational Resources Information Center
Winslow, Cessna Catherine Smith
2014-01-01
This study explored perceptions of Public Relations (PR) among graduate higher education publics regarding distance learning as contrasted with face-to-face learning contexts. The research questions assessed student, faculty and administrator perceptions of characteristics of PR: trust, communication, quality, respect and rigor. Participants…
ERIC Educational Resources Information Center
Wright, Michelle F.; Yanagida, Takuya; Ševcíková, Anna; Aoyama, Ikuko; Dedková, Lenka; Machácková, Hana; Li, Zheng; Kamble, Shanmukh V.; Bayraktar, Fatih; Soudi, Shruti; Lei, Li; Shu, Chang
2016-01-01
The aim of this study was to examine the role of publicity (private versus public) and medium (face-to-face versus cyber) in adolescents' coping strategies for hypothetical victimization, while also considering culture. Participants were adolescents from China, Cyprus, the Czech Republic, India, Japan, and the United States. The study also…
A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network.
Zhao, Jianwei; Lv, Yongbiao; Zhou, Zhenghua; Cao, Feilong
2017-10-01
There have been a lot of methods to address the recognition of complete face images. However, in real applications, the images to be recognized are usually incomplete, and it is more difficult to realize such a recognition. In this paper, a novel convolution neural network frame, named a low-rank-recovery network (LRRNet), is proposed to conquer the difficulty effectively inspired by matrix completion and deep learning techniques. The proposed LRRNet first recovers the incomplete face images via an approach of matrix completion with the truncated nuclear norm regularization solution, and then extracts some low-rank parts of the recovered images as the filters. With these filters, some important features are obtained by means of the binaryzation and histogram algorithms. Finally, these features are classified with the classical support vector machines (SVMs). The proposed LRRNet method has high face recognition rate for the heavily corrupted images, especially for the images in the large databases. The proposed LRRNet performs well and efficiently for the images with heavily corrupted, especially in the case of large databases. Extensive experiments on several benchmark databases demonstrate that the proposed LRRNet performs better than some other excellent robust face recognition methods. Copyright © 2017 Elsevier Ltd. All rights reserved.
16 CFR 1102.28 - Publication of reports of harm.
Code of Federal Regulations, 2011 CFR
2011-01-01
... REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan. 10, 2011) Procedural..., the Commission will publish reports of harm that meet the requirements for publication in the Database...(d) in the Database beyond the 10-business-day time frame set forth in paragraph (a) of this section...
De la Torre, Fernando; Chu, Wen-Sheng; Xiong, Xuehan; Vicente, Francisco; Ding, Xiaoyu; Cohn, Jeffrey
2016-01-01
Within the last 20 years, there has been an increasing interest in the computer vision community in automated facial image analysis algorithms. This has been driven by applications in animation, market research, autonomous-driving, surveillance, and facial editing among others. To date, there exist several commercial packages for specific facial image analysis tasks such as facial expression recognition, facial attribute analysis or face tracking. However, free and easy-to-use software that incorporates all these functionalities is unavailable. This paper presents IntraFace (IF), a publicly-available software package for automated facial feature tracking, head pose estimation, facial attribute recognition, and facial expression analysis from video. In addition, IFincludes a newly develop technique for unsupervised synchrony detection to discover correlated facial behavior between two or more persons, a relatively unexplored problem in facial image analysis. In tests, IF achieved state-of-the-art results for emotion expression and action unit detection in three databases, FERA, CK+ and RU-FACS; measured audience reaction to a talk given by one of the authors; and discovered synchrony for smiling in videos of parent-infant interaction. IF is free of charge for academic use at http://www.humansensing.cs.cmu.edu/intraface/. PMID:27346987
De la Torre, Fernando; Chu, Wen-Sheng; Xiong, Xuehan; Vicente, Francisco; Ding, Xiaoyu; Cohn, Jeffrey
2015-05-01
Within the last 20 years, there has been an increasing interest in the computer vision community in automated facial image analysis algorithms. This has been driven by applications in animation, market research, autonomous-driving, surveillance, and facial editing among others. To date, there exist several commercial packages for specific facial image analysis tasks such as facial expression recognition, facial attribute analysis or face tracking. However, free and easy-to-use software that incorporates all these functionalities is unavailable. This paper presents IntraFace (IF), a publicly-available software package for automated facial feature tracking, head pose estimation, facial attribute recognition, and facial expression analysis from video. In addition, IFincludes a newly develop technique for unsupervised synchrony detection to discover correlated facial behavior between two or more persons, a relatively unexplored problem in facial image analysis. In tests, IF achieved state-of-the-art results for emotion expression and action unit detection in three databases, FERA, CK+ and RU-FACS; measured audience reaction to a talk given by one of the authors; and discovered synchrony for smiling in videos of parent-infant interaction. IF is free of charge for academic use at http://www.humansensing.cs.cmu.edu/intraface/.
Life After Research Misconduct.
Galbraith, Kyle L
2017-02-01
Research misconduct is a serious violation of a scientific community's ethical standards. Scientists who commit research misconduct typically face corrective actions from employers and funding agencies, as well as significant professional stigma. Unfortunately, there is little systematic data about the post-misconduct career of these guilty parties. Through a review of Office of Research Integrity (ORI) case summaries, I identified a pool of 284 researchers who engaged in research misconduct and were subject to ORI corrective actions. To assess the prevalence of post-misconduct research activities for these scientists, I searched publicly available databases and online resources for evidence of post-misconduct research activities (such as publications and federal research support). The data demonstrate that researchers often receive second chances as researchers, with indicators of post-misconduct research activities identified for 134 (47.18%) of the offending researchers. In addition, those researchers have received more than US$123 million in federal support for their post-misconduct research efforts.
Family first: Community-based supports for refugees.
Pejic, Vanja; Hess, Robyn S; Miller, Gloria E; Wille, Alice
2016-01-01
This article presents a community-based approach that targets family interventions and services through a preventive, family systems ecological framework. A public health approach is used to emphasize the need for a tiered model of family support that builds on the strengths of refugee families while recognizing their specific needs and challenges. The rationale for a family systems ecological perspective is presented to highlight the critical features of effective family support programs for refugee families, followed by a discussion regarding the transitions and adaptation faced by refugee families when entering the United States. Finally, a public-health problem solving model is employed to promote a comprehensive vision for how more effective support can be developed to best serve the mental health needs of refugee families. An integrated case example highlighting the Somali Parent Program, a family-focused intervention, is also provided. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Amer, Mona M; Bagasra, Anisah
2013-04-01
Like other minority groups in North America, Muslim Americans have been largely ignored in the psychological literature. The overwhelming pressures faced by this group, including surveillance, hate crimes, and institutional discrimination, stimulate an urgent need for psychologists to better understand and ensure the well-being of this population. This article reviews challenges in conducting research with Muslim Americans in order to offer recommendations for culturally sensitive approaches that can enhance the growth of future scholarship. We first contextualize this endeavor by assessing trends in psychological scholarship pertinent to Muslims in North America over the past two decades. A total of 559 relevant publications were identified through a PsycINFO database search. The 10 years post 9/11 saw a more than 900% increase in the annual number of publications, paralleling a national interest in the Muslim American community subsequent to the World Trade Center attacks. Researchers who conducted these studies faced numerous barriers, including unclear definition of the target sample, unavailability of culturally sensitive measures, sampling difficulties, and obstacles to participant recruitment. To navigate these challenges, we provide a framework for effective research design along the continuum of the research process from study conceptualization to dissemination of results. The challenges and recommendations are illustrated with examples from previous studies.
Genetics/genomics education for nongenetic health professionals: a systematic literature review.
Talwar, Divya; Tseng, Tung-Sung; Foster, Margaret; Xu, Lei; Chen, Lei-Shih
2017-07-01
The completion of the Human Genome Project has enhanced avenues for disease prevention, diagnosis, and management. Owing to the shortage of genetic professionals, genetics/genomics training has been provided to nongenetic health professionals for years to establish their genomic competencies. We conducted a systematic literature review to summarize and evaluate the existing genetics/genomics education programs for nongenetic health professionals. Five electronic databases were searched from January 1990 to June 2016. Forty-four studies met our inclusion criteria. There was a growing publication trend. Program participants were mainly physicians and nurses. The curricula, which were most commonly provided face to face, included basic genetics; applied genetics/genomics; ethical, legal, and social implications of genetics/genomics; and/or genomic competencies/recommendations in particular professional fields. Only one-third of the curricula were theory-based. The majority of studies adopted a pre-/post-test design and lacked follow-up data collection. Nearly all studies reported participants' improvements in one or more of the following areas: knowledge, attitudes, skills, intention, self-efficacy, comfort level, and practice. However, most studies did not report participants' age, ethnicity, years of clinical practice, data validity, and data reliability. Many genetics/genomics education programs for nongenetic health professionals exist. Nevertheless, enhancement in methodological quality is needed to strengthen education initiatives.Genet Med advance online publication 20 October 2016.
Code of Federal Regulations, 2014 CFR
2014-10-01
... public accident investigation dockets, and accident database data. 837.3 Section 837.3 Transportation... investigation dockets, and accident database data. (a) Demands for material contained in the NTSB's official public docket files of its accident investigations, or its computerized accident database(s) shall be...
Code of Federal Regulations, 2012 CFR
2012-10-01
... public accident investigation dockets, and accident database data. 837.3 Section 837.3 Transportation... investigation dockets, and accident database data. (a) Demands for material contained in the NTSB's official public docket files of its accident investigations, or its computerized accident database(s) shall be...
Code of Federal Regulations, 2010 CFR
2010-10-01
... public accident investigation dockets, and accident database data. 837.3 Section 837.3 Transportation... investigation dockets, and accident database data. (a) Demands for material contained in the NTSB's official public docket files of its accident investigations, or its computerized accident database(s) shall be...
Code of Federal Regulations, 2013 CFR
2013-10-01
... public accident investigation dockets, and accident database data. 837.3 Section 837.3 Transportation... investigation dockets, and accident database data. (a) Demands for material contained in the NTSB's official public docket files of its accident investigations, or its computerized accident database(s) shall be...
Code of Federal Regulations, 2011 CFR
2011-10-01
... public accident investigation dockets, and accident database data. 837.3 Section 837.3 Transportation... investigation dockets, and accident database data. (a) Demands for material contained in the NTSB's official public docket files of its accident investigations, or its computerized accident database(s) shall be...
Gender classification system in uncontrolled environments
NASA Astrophysics Data System (ADS)
Zeng, Pingping; Zhang, Yu-Jin; Duan, Fei
2011-01-01
Most face analysis systems available today perform mainly on restricted databases of images in terms of size, age, illumination. In addition, it is frequently assumed that all images are frontal and unconcealed. Actually, in a non-guided real-time supervision, the face pictures taken may often be partially covered and with head rotation less or more. In this paper, a special system supposed to be used in real-time surveillance with un-calibrated camera and non-guided photography is described. It mainly consists of five parts: face detection, non-face filtering, best-angle face selection, texture normalization, and gender classification. Emphases are focused on non-face filtering and best-angle face selection parts as well as texture normalization. Best-angle faces are figured out by PCA reconstruction, which equals to an implicit face alignment and results in a huge increase of the accuracy for gender classification. Dynamic skin model and a masked PCA reconstruction algorithm are applied to filter out faces detected in error. In order to fully include facial-texture and shape-outline features, a hybrid feature that is a combination of Gabor wavelet and PHoG (pyramid histogram of gradients) was proposed to equitable inner texture and outer contour. Comparative study on the effects of different non-face filtering and texture masking methods in the context of gender classification by SVM is reported through experiments on a set of UT (a company name) face images, a large number of internet images and CAS (Chinese Academy of Sciences) face database. Some encouraging results are obtained.
Don't look at me in anger! Enhanced processing of angry faces in anticipation of public speaking.
Wieser, Matthias J; Pauli, Paul; Reicherts, Philipp; Mühlberger, Andreas
2010-03-01
Anxiety is supposed to enhance the processing of threatening information. Here, we investigated the cortical processing of angry faces during anticipated public speaking. To elicit anxiety, a group of participants was told that they would have to perform a public speech. As a control condition, another group was told that they would have to write a short essay. During anticipation of these tasks, participants saw facial expressions (angry, happy, and neutral) while electroencephalogram was recorded. Event-related potential analysis revealed larger N170 amplitudes for angry compared to happy and neutral faces in the anxiety group. The early posterior negativity as an index of motivated attention was also enhanced for angry compared to happy and neutral faces in participants anticipating public speaking. These results indicate that fear of public speaking influences early perceptual processing of faces such that especially the processing of angry faces is facilitated.
Tracking and recognition face in videos with incremental local sparse representation model
NASA Astrophysics Data System (ADS)
Wang, Chao; Wang, Yunhong; Zhang, Zhaoxiang
2013-10-01
This paper addresses the problem of tracking and recognizing faces via incremental local sparse representation. First a robust face tracking algorithm is proposed via employing local sparse appearance and covariance pooling method. In the following face recognition stage, with the employment of a novel template update strategy, which combines incremental subspace learning, our recognition algorithm adapts the template to appearance changes and reduces the influence of occlusion and illumination variation. This leads to a robust video-based face tracking and recognition with desirable performance. In the experiments, we test the quality of face recognition in real-world noisy videos on YouTube database, which includes 47 celebrities. Our proposed method produces a high face recognition rate at 95% of all videos. The proposed face tracking and recognition algorithms are also tested on a set of noisy videos under heavy occlusion and illumination variation. The tracking results on challenging benchmark videos demonstrate that the proposed tracking algorithm performs favorably against several state-of-the-art methods. In the case of the challenging dataset in which faces undergo occlusion and illumination variation, and tracking and recognition experiments under significant pose variation on the University of California, San Diego (Honda/UCSD) database, our proposed method also consistently demonstrates a high recognition rate.
Dealing with the Data Deluge: Handling the Multitude Of Chemical Biology Data Sources
Guha, Rajarshi; Nguyen, Dac-Trung; Southall, Noel; Jadhav, Ajit
2012-01-01
Over the last 20 years, there has been an explosion in the amount and type of biological and chemical data that has been made publicly available in a variety of online databases. While this means that vast amounts of information can be found online, there is no guarantee that it can be found easily (or at all). A scientist searching for a specific piece of information is faced with a daunting task - many databases have overlapping content, use their own identifiers and, in some cases, have arcane and unintuitive user interfaces. In this overview, a variety of well known data sources for chemical and biological information are highlighted, focusing on those most useful for chemical biology research. The issue of using multiple data sources together and the associated problems such as identifier disambiguation are highlighted. A brief discussion is then provided on Tripod, a recently developed platform that supports the integration of arbitrary data sources, providing users a simple interface to search across a federated collection of resources. PMID:26609498
A face and palmprint recognition approach based on discriminant DCT feature extraction.
Jing, Xiao-Yuan; Zhang, David
2004-12-01
In the field of image processing and recognition, discrete cosine transform (DCT) and linear discrimination are two widely used techniques. Based on them, we present a new face and palmprint recognition approach in this paper. It first uses a two-dimensional separability judgment to select the DCT frequency bands with favorable linear separability. Then from the selected bands, it extracts the linear discriminative features by an improved Fisherface method and performs the classification by the nearest neighbor classifier. We detailedly analyze theoretical advantages of our approach in feature extraction. The experiments on face databases and palmprint database demonstrate that compared to the state-of-the-art linear discrimination methods, our approach obtains better classification performance. It can significantly improve the recognition rates for face and palmprint data and effectively reduce the dimension of feature space.
Bennett, Tellen D; Kaufman, Robert; Schiff, Melissa; Mock, Charles; Quan, Linda
2006-09-01
The mechanism, crash characteristics, and spectrum of lower extremity injuries in children restrained in forward-facing car seats during front and rear impacts have not been described. We identified in two databases children who sustained lower extremity injuries while restrained in forward-facing car seats. To identify the mechanism, we analyzed crash reconstructions from three frontal-impact cases from the Crash Injury Research and Engineering Network. To further describe the crash and injury characteristics we evaluated children between 1 and 4 years of age with lower extremity injuries from front or rear impacts in the National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) database. Crash reconstruction data demonstrated that the likely mechanism of lower extremity injury was contact between the legs and the front seatbacks. In the CDS database, we identified 15 children with lower extremity injuries in a forward-facing child seat, usually (13 out of 15) placed in the rear seat, incurred in frontal impacts (11 out of 15). Several (5 out of 15) children were in unbelted or improperly secured forward-facing car seats. Injury Severity Scores varied widely (5-50). Children in forward-facing car seats involved in severe front or rear crashes may incur a range of lower extremity injury from impact with the car interior component in front of them. Crash scene photography can provide useful information about anatomic sites at risk for injury and alert emergency department providers to possible subtle injury.
LexisNexis provides access to electronic legal and non-legal research databases to the Agency's attorneys, administrative law judges, law clerks, investigators, and certain non-legal staff (e.g. staff in the Office of Public Affairs). The agency requires access to the following types of electronic databases: Legal databases, Non-legal databases, Public Records databases, and Financial databases.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-02-23
... Database Adjustments AGENCY: Office of the Assistant Secretary for Public and Indian Housing, HUD. ACTION...: Public Housing Assessment System Appeals, Technical Reviews and Database Adjustments. OMB Control Number..., at Sec. 902.24, a database adjustment if certain conditions are present. A technical review of the...
Maximal likelihood correspondence estimation for face recognition across pose.
Li, Shaoxin; Liu, Xin; Chai, Xiujuan; Zhang, Haihong; Lao, Shihong; Shan, Shiguang
2014-10-01
Due to the misalignment of image features, the performance of many conventional face recognition methods degrades considerably in across pose scenario. To address this problem, many image matching-based methods are proposed to estimate semantic correspondence between faces in different poses. In this paper, we aim to solve two critical problems in previous image matching-based correspondence learning methods: 1) fail to fully exploit face specific structure information in correspondence estimation and 2) fail to learn personalized correspondence for each probe image. To this end, we first build a model, termed as morphable displacement field (MDF), to encode face specific structure information of semantic correspondence from a set of real samples of correspondences calculated from 3D face models. Then, we propose a maximal likelihood correspondence estimation (MLCE) method to learn personalized correspondence based on maximal likelihood frontal face assumption. After obtaining the semantic correspondence encoded in the learned displacement, we can synthesize virtual frontal images of the profile faces for subsequent recognition. Using linear discriminant analysis method with pixel-intensity features, state-of-the-art performance is achieved on three multipose benchmarks, i.e., CMU-PIE, FERET, and MultiPIE databases. Owe to the rational MDF regularization and the usage of novel maximal likelihood objective, the proposed MLCE method can reliably learn correspondence between faces in different poses even in complex wild environment, i.e., labeled face in the wild database.
Access to essential drugs in Guyana: a public health challenge.
Seoane-Vazquez, Enrique; Rodriguez-Monguio, Rosa
2010-01-01
Guyana's pharmaceutical sector faces major challenges that limit access to essential drugs. This study analyzes Guyana's drug policy and regulation, public financing, and drug procurement and delivery. The study also identifies main barriers to drug access and proposes alternatives to strengthen the country's public health functions. Data were collected from the country's regulatory agencies, public procurement agency, pharmacies, wholesalers, and pharmaceutical companies. The information was supplemented with interviews with a convenient sample of Guyanese health authorities and stakeholders. Data were also compiled from scientific databases, and web pages of the country's Ministries of Health, Commerce and Finance, the Bureau of Statistics, and international organizations. Major barriers to drug access include: (1) lack of national drug policy and regulation, and limited role of the regulatory authority; (2) inefficient drug selection and irrational drug use; (3) insufficient financial resources and lack of drug pricing policy; (4) inefficient planning and managing public supply system; (5) deficient epidemiological and information systems; and (6) inadequate infrastructures and human resources shortage. Improving drug access in Guyana requires the strengthening of the country's public health functions and the implementation of a national drug policy and pricing policy, streamlining the drug financing, procurement, and planning and managing drug supply; and adequate infrastructures and human resources. Copyright 2008 John Wiley & Sons, Ltd.
Implementing a Dynamic Database-Driven Course Using LAMP
ERIC Educational Resources Information Center
Laverty, Joseph Packy; Wood, David; Turchek, John
2011-01-01
This paper documents the formulation of a database driven open source architecture web development course. The design of a web-based curriculum faces many challenges: a) relative emphasis of client and server-side technologies, b) choice of a server-side language, and c) the cost and efficient delivery of a dynamic web development, database-driven…
Content based information retrieval in forensic image databases.
Geradts, Zeno; Bijhold, Jurrien
2002-03-01
This paper gives an overview of the various available image databases and ways of searching these databases on image contents. The developments in research groups of searching in image databases is evaluated and compared with the forensic databases that exist. Forensic image databases of fingerprints, faces, shoeprints, handwriting, cartridge cases, drugs tablets, and tool marks are described. The developments in these fields appear to be valuable for forensic databases, especially that of the framework in MPEG-7, where the searching in image databases is standardized. In the future, the combination of the databases (also DNA-databases) and possibilities to combine these can result in stronger forensic evidence.
USDA-ARS?s Scientific Manuscript database
The Prototype Food and Nutrient Database for Dietary Studies (Prototype FNDDS) Branded Food Products Database for Public Health is a proof of concept database. The database contains a small selection of food products which is being used to exhibit the approach for incorporation of the Branded Food ...
TabSQL: a MySQL tool to facilitate mapping user data to public databases.
Xia, Xiao-Qin; McClelland, Michael; Wang, Yipeng
2010-06-23
With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files with large numbers of rows. TabSQL provides functions for downloading and installing table files from public databases including the Gene Ontology database (GO), the Ensembl databases, and genome databases from the UCSC genome bioinformatics site. Any other database that provides tab-delimited flat files can also be imported. The downloaded gene annotation tables can be queried together with users' data in TabSQL using either a graphic interface or command line. TabSQL allows queries across the user's data and public databases without programming. It is a convenient tool for biologists to annotate and enrich their data.
TabSQL: a MySQL tool to facilitate mapping user data to public databases
2010-01-01
Background With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. Results We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files with large numbers of rows. TabSQL provides functions for downloading and installing table files from public databases including the Gene Ontology database (GO), the Ensembl databases, and genome databases from the UCSC genome bioinformatics site. Any other database that provides tab-delimited flat files can also be imported. The downloaded gene annotation tables can be queried together with users' data in TabSQL using either a graphic interface or command line. Conclusions TabSQL allows queries across the user's data and public databases without programming. It is a convenient tool for biologists to annotate and enrich their data. PMID:20573251
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition.
Ding, Changxing; Choi, Jonghyun; Tao, Dacheng; Davis, Larry S
2016-03-01
To perform unconstrained face recognition robust to variations in illumination, pose and expression, this paper presents a new scheme to extract "Multi-Directional Multi-Level Dual-Cross Patterns" (MDML-DCPs) from face images. Specifically, the MDML-DCPs scheme exploits the first derivative of Gaussian operator to reduce the impact of differences in illumination and then computes the DCP feature at both the holistic and component levels. DCP is a novel face image descriptor inspired by the unique textural structure of human faces. It is computationally efficient and only doubles the cost of computing local binary patterns, yet is extremely robust to pose and expression variations. MDML-DCPs comprehensively yet efficiently encodes the invariant characteristics of a face image from multiple levels into patterns that are highly discriminative of inter-personal differences but robust to intra-personal variations. Experimental results on the FERET, CAS-PERL-R1, FRGC 2.0, and LFW databases indicate that DCP outperforms the state-of-the-art local descriptors (e.g., LBP, LTP, LPQ, POEM, tLBP, and LGXP) for both face identification and face verification tasks. More impressively, the best performance is achieved on the challenging LFW and FRGC 2.0 databases by deploying MDML-DCPs in a simple recognition scheme.
Automated facial attendance logger for students
NASA Astrophysics Data System (ADS)
Krithika, L. B.; Kshitish, S.; Kishore, M. R.
2017-11-01
From the past two decades, various spheres of activity are in the aspect of ‘Face recognition’ as an essential tool. The complete series of actions of face recognition is composed of 3 stages: Face Detection, Feature Extraction and Recognition. In this paper, we make an effort to put forth a new application of face recognition and detection in education. The proposed system scans the classroom and detects the face of the students in class and matches the scanned face with the templates that is available in the database and updates the attendance of the respective students.
Totten, Annette M; Wagner, Jesse; Tiwari, Arpita; O'Haire, Christen; Griffin, Jessica; Walker, Miranda
2012-07-01
The goal of this review was to evaluate the effectiveness of public reporting of health care quality information as a quality improvement strategy. We sought to determine if public reporting results in improvements in health care delivery and patient outcomes. We also considered whether public reporting affects the behavior of patients or of health care providers. Finally we assessed whether the characteristics of the public reports and the context affect the impact of public reports. Articles available between 1980 and 2011 were identified through searches of the following bibliographical databases: MEDLINE®, Embase, EconLit, PsychINFO, Business Source Premier, CINAHL, PAIS, Cochrane Database of Systematic Reviews, EPOC Register of Studies, DARE, NHS EED, HEED, NYAM Grey Literature Report database, and other sources (experts, reference lists, and gray literature). We screened citations based on inclusion and exclusion criteria developed based on our definition of public reporting. We initially did not exclude any studies based on study design. Of the 11,809 citations identified through title and abstract triage, we screened and reviewed 1,632 articles. A total of 97 quantitative and 101 qualitative studies were included, abstracted, entered into tables, and evaluated. The heterogeneity of outcomes as well as methods prohibited formal quantitative synthesis. Systematic reviews were used to identify studies, but their conclusions were not incorporated into this review. For most of the outcomes, the strength of the evidence available to assess the impact of public reporting was moderate. This was due in part to the methodological challenges researchers face in designing and conducting research on the impact of population-level interventions. Public reporting is associated with improvement in health care performance measures such as those included in Nursing Home Compare. Almost all identified studies found no evidence or only weak evidence that public reporting affects the selection of health care providers by patients or their representatives. Studies of health care providers' response to public reports suggest they engage in activities to improve quality when performance data are made public. Characteristics of public reports and the context, which are likely to be important when considering the diffusion of quality improvement activities, were rarely studied or even described. The heterogeneity of the outcomes and the moderate strength of evidence for most outcomes make it difficult to draw definitive conclusions. However, some observations were supported by existing research. Public reporting is more likely to be associated with changes in health care provider behaviors than with selection of health services providers by patients or families. Quality measures that are publicly reported improve over time. Although the potential for harms is frequently cited by commentators and critics of public reporting, the amount of research on harms is limited and most studies do not confirm the potential harm.
Neuro-fuzzy model for estimating race and gender from geometric distances of human face across pose
NASA Astrophysics Data System (ADS)
Nanaa, K.; Rahman, M. N. A.; Rizon, M.; Mohamad, F. S.; Mamat, M.
2018-03-01
Classifying human face based on race and gender is a vital process in face recognition. It contributes to an index database and eases 3D synthesis of the human face. Identifying race and gender based on intrinsic factor is problematic, which is more fitting to utilizing nonlinear model for estimating process. In this paper, we aim to estimate race and gender in varied head pose. For this purpose, we collect dataset from PICS and CAS-PEAL databases, detect the landmarks and rotate them to the frontal pose. After geometric distances are calculated, all of distance values will be normalized. Implementation is carried out by using Neural Network Model and Fuzzy Logic Model. These models are combined by using Adaptive Neuro-Fuzzy Model. The experimental results showed that the optimization of address fuzzy membership. Model gives a better assessment rate and found that estimating race contributing to a more accurate gender assessment.
Score Fusion and Decision Fusion for the Performance Improvement of Face Recognition
2013-07-01
0.1). A Hamming distance (HD) [7] is calculated with the FP-CGF to measure the similarities among faces. The matched face has the shortest HD from...then put into a face pattern byte (FPB) pixel- by-pixel. A HD is calculated with the FPB to measure the similarities among faces, and recognition is...all query users are included in the database), the recognition performance can be measured by a verification rate (VR), the percentage of the
Face recognition using slow feature analysis and contourlet transform
NASA Astrophysics Data System (ADS)
Wang, Yuehao; Peng, Lingling; Zhe, Fuchuan
2018-04-01
In this paper we propose a novel face recognition approach based on slow feature analysis (SFA) in contourlet transform domain. This method firstly use contourlet transform to decompose the face image into low frequency and high frequency part, and then takes technological advantages of slow feature analysis for facial feature extraction. We named the new method combining the slow feature analysis and contourlet transform as CT-SFA. The experimental results on international standard face database demonstrate that the new face recognition method is effective and competitive.
Ecker, David J; Sampath, Rangarajan; Willett, Paul; Wyatt, Jacqueline R; Samant, Vivek; Massire, Christian; Hall, Thomas A; Hari, Kumar; McNeil, John A; Büchen-Osmond, Cornelia; Budowle, Bruce
2005-01-01
Background Thousands of different microorganisms affect the health, safety, and economic stability of populations. Many different medical and governmental organizations have created lists of the pathogenic microorganisms relevant to their missions; however, the nomenclature for biological agents on these lists and pathogens described in the literature is inexact. This ambiguity can be a significant block to effective communication among the diverse communities that must deal with epidemics or bioterrorist attacks. Results We have developed a database known as the Microbial Rosetta Stone. The database relates microorganism names, taxonomic classifications, diseases, specific detection and treatment protocols, and relevant literature. The database structure facilitates linkage to public genomic databases. This paper focuses on the information in the database for pathogens that impact global public health, emerging infectious organisms, and bioterrorist threat agents. Conclusion The Microbial Rosetta Stone is available at . The database provides public access to up-to-date taxonomic classifications of organisms that cause human diseases, improves the consistency of nomenclature in disease reporting, and provides useful links between different public genomic and public health databases. PMID:15850481
Slutsky, Jeremiah; Singh, Nilkamal; Khalsa, Sat Bir S.
2015-01-01
Abstract Objective: A comprehensive bibliometric analysis was conducted on publications for yoga therapy research in clinical populations. Methods: Major electronic databases were searched for articles in all languages published between 1967 and 2013. Databases included PubMed, PsychInfo, MEDLINE, IndMed, Indian Citation Index, Index Medicus for South-East Asia Region, Web of Knowledge, Embase, EBSCO, and Google Scholar. Nonindexed journals were searched manually. Key search words included yoga, yoga therapy, pranayama, asana. All studies met the definition of a clinical trial. All styles of yoga were included. The authors extracted the data. Results: A total of 486 articles met the inclusion criteria and were published in 217 different peer-reviewed journals from 29 different countries on 28,080 study participants. The primary result observed is the three-fold increase in number of publications seen in the last 10 years, inclusive of all study designs. Overall, 45% of the studies published were randomized controlled trials, 18% were controlled studies, and 37% were uncontrolled studies. Most publications originated from India (n=258), followed by the United States (n=122) and Canada (n=13). The top three disorders addressed by yoga interventions were mental health, cardiovascular disease, and respiratory disease. Conclusion: A surge in publications on yoga to mitigate disease-related symptoms in clinical populations has occurred despite challenges facing the field of yoga research, which include standardization and limitations in funding, time, and resources. The population at large has observed a parallel surge in the use of yoga outside of clinical practice. The use of yoga as a complementary therapy in clinical practice may lead to health benefits beyond traditional treatment alone; however, to effect changes in health care policy, more high-quality, evidence-based research is needed. PMID:26196166
NASA Astrophysics Data System (ADS)
Thanos, Konstantinos-Georgios; Thomopoulos, Stelios C. A.
2014-06-01
The study in this paper belongs to a more general research of discovering facial sub-clusters in different ethnicity face databases. These new sub-clusters along with other metadata (such as race, sex, etc.) lead to a vector for each face in the database where each vector component represents the likelihood of participation of a given face to each cluster. This vector is then used as a feature vector in a human identification and tracking system based on face and other biometrics. The first stage in this system involves a clustering method which evaluates and compares the clustering results of five different clustering algorithms (average, complete, single hierarchical algorithm, k-means and DIGNET), and selects the best strategy for each data collection. In this paper we present the comparative performance of clustering results of DIGNET and four clustering algorithms (average, complete, single hierarchical and k-means) on fabricated 2D and 3D samples, and on actual face images from various databases, using four different standard metrics. These metrics are the silhouette figure, the mean silhouette coefficient, the Hubert test Γ coefficient, and the classification accuracy for each clustering result. The results showed that, in general, DIGNET gives more trustworthy results than the other algorithms when the metrics values are above a specific acceptance threshold. However when the evaluation results metrics have values lower than the acceptance threshold but not too low (too low corresponds to ambiguous results or false results), then it is necessary for the clustering results to be verified by the other algorithms.
16 CFR § 1102.10 - Reports of harm.
Code of Federal Regulations, 2013 CFR
2013-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.10 Reports of... they have a public safety purpose. (b) Manner of submission. To be entered into the Database, reports... Commission will publish in the Publicly Available Consumer Product Safety Information Database reports of...
Hu, Hai; Brzeski, Henry; Hutchins, Joe; Ramaraj, Mohan; Qu, Long; Xiong, Richard; Kalathil, Surendran; Kato, Rand; Tenkillaya, Santhosh; Carney, Jerry; Redd, Rosann; Arkalgudvenkata, Sheshkumar; Shahzad, Kashif; Scott, Richard; Cheng, Hui; Meadow, Stephen; McMichael, John; Sheu, Shwu-Lin; Rosendale, David; Kvecher, Leonid; Ahern, Stephen; Yang, Song; Zhang, Yonghong; Jordan, Rick; Somiari, Stella B; Hooke, Jeffrey; Shriver, Craig D; Somiari, Richard I; Liebman, Michael N
2004-10-01
The Windber Research Institute is an integrated high-throughput research center employing clinical, genomic and proteomic platforms to produce terabyte levels of data. We use biomedical informatics technologies to integrate all of these operations. This report includes information on a multi-year, multi-phase hybrid data warehouse project currently under development in the Institute. The purpose of the warehouse is to host the terabyte-level of internal experimentally generated data as well as data from public sources. We have previously reported on the phase I development, which integrated limited internal data sources and selected public databases. Currently, we are completing phase II development, which integrates our internal automated data sources and develops visualization tools to query across these data types. This paper summarizes our clinical and experimental operations, the data warehouse development, and the challenges we have faced. In phase III we plan to federate additional manual internal and public data sources and then to develop and adapt more data analysis and mining tools. We expect that the final implementation of the data warehouse will greatly facilitate biomedical informatics research.
[Predatory journals: how their publishers operate and how to avoid them].
Kratochvíl, Jiří; Plch, Lukáš
Authors who publish in scientific or scholarly journals today face the risk of publishing in so-called predatory journals. These journals exploit the noble idea of the Open Access movement, whose goal is to make the latest scientific findings available for free. Predatory journals, unlike the reputable ones working on an Open Access basis, neglect the review process and publish low-quality submissions. The basic attributes of predatory journals are a very quick review process or even none at all, failure to be transparent about author fees for publishing an article, misleading potential authors by imitating the names of well-established journals, and false information on indexing in renowned databases or assigned impact factor. Some preventive measures against publishing in predatory journals or drawing information from them are: a thorough credibility check of the journals webpages, verification of the journals indexing on Bealls List and in the following databases: Web of Science Core Collection, Scopus, ERIH PLUS and DOAJ. Asking other scientists or scholars about their experience with a given journal can also be helpful. Without these necessary steps authors face an increased risk of publishing in a journal of poor quality, which will prevent them from obtaining Research and Development Council points (awarded based on the Information Register of Research & Development results); even more importantly, it may damage their reputation as well as the good name of their home institution in the professional community.Key words: academic writing - medical journals - Open Access - predatory journals - predatory publishers - scientific publications.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-01-07
...: Notice of Public Web Conferences AGENCY: Consumer Product Safety Commission. ACTION: Notice. SUMMARY: The Consumer Product Safety Commission (``Commission,'' ``CPSC,'' or ``we'') is announcing two Web conferences... database (``Database''). The Web conferences will be webcast live from the Commission's headquarters in...
Comprehensive Thematic T-matrix Reference Database: a 2013-2014 Update
NASA Technical Reports Server (NTRS)
Mishchenko, Michael I.; Zakharova, Nadezhda T.; Khlebtsov, Nikolai G.; Wriedt, Thomas; Videen, Gorden
2014-01-01
This paper is the sixth update to the comprehensive thematic database of peer-reviewedT-matrix publications initiated by us in 2004 and includes relevant publications that have appeared since 2013. It also lists several earlier publications not incorporated in the original database and previous updates.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-10-31
... Extension of Approval; Comment Request--Publicly Available Consumer Product Safety Information Database... Publicly Available Consumer Product Safety Information Database. The Commission will consider all comments... intention to seek extension of approval of a collection of information for a database on the safety of...
16 CFR 1102.28 - Publication of reports of harm.
Code of Federal Regulations, 2012 CFR
2012-01-01
... REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural Requirements § 1102.28... publish reports of harm that meet the requirements for publication in the Database. The Commission will... Commission may publish a report of harm that meets the requirements of § 1102.10(d) in the Database beyond...
16 CFR 1102.28 - Publication of reports of harm.
Code of Federal Regulations, 2014 CFR
2014-01-01
... REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural Requirements § 1102.28... publish reports of harm that meet the requirements for publication in the Database. The Commission will... Commission may publish a report of harm that meets the requirements of § 1102.10(d) in the Database beyond...
Publications of Australian LIS Academics in Databases
ERIC Educational Resources Information Center
Wilson, Concepcion S.; Boell, Sebastian K.; Kennan, Mary Anne; Willard, Patricia
2011-01-01
This paper examines aspects of journal articles published from 1967 to 2008, located in eight databases, and authored or co-authored by academics serving for at least two years in Australian LIS programs from 1959 to 2008. These aspects are: inclusion of publications in databases, publications in journals, authorship characteristics of…
Publications - DDS 8 | Alaska Division of Geological & Geophysical Surveys
DGGS DDS 8 Publication Details Title: Alaska Volcano Observatory geochemical database Authors: Cameron ., Snedigar, S.F., and Nye, C.J., 2014, Alaska Volcano Observatory geochemical database: Alaska Division of ://doi.org/10.14509/29120 Publication Products Interactive Interactive Database Alaska Volcano Observatory
A systematic review of the research evidence on cross-country features of illegal abortions
Aghaei, Farideh; Shaghaghi, Abdolreza; Sarbakhsh, Parvin
2017-01-01
Background: There are contrasting debates about abortions and prohibitory regulations posed serious public health challenges especially in underdeveloped and developing countries. Due to paucity of the empirical evidences this study was conducted to explore the existent cumulative knowledge with special focus on the applied methodology. Methods: A comprehensive review of published articles from January 1995 to December 2015 was performed. Several databases including: Embase, PubMed, Cochrane and also databasesof the Iranian medical journals were searched using combinations of relevant Medical Subject Headings (MeSH terms) and their equivalents, i.e., induced abortion, embryotomy, criminal abortion and illegal abortion. The STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) statement for appraisal of the cross-sectional studies and Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist for the qualitative reports were utilized. After removal of duplicates and irrelevant publications 36 articles remained for data analysis. Results: A wide heterogeneity was observed in the utilized methodology with no standard data collection tool. Face to face interview and self-administered questionnaire were the most common reported data collection/tool respectively. Married and unemployed women of 26-30 years old age group with low socioeconomic backgrounds were the most typical illegal abortees in the included studies. Conclusion: Despite limitation in accessing all relevant publications and including only those reports written in English or Persian languages, the accumulated knowledge might be applicable to develop a potentially inclusive data collection tool and hence, improve the quality of data collection and/or application of a more robust study design in future investigations. PMID:28695098
Analysis of the Questions Asked through Digital and Face-to-Face Reference Services
ERIC Educational Resources Information Center
Tsuji, Keita; Arai, Shunsuke; Suga, Reina; Ikeuchi, Atsushi; Yoshikane, Fuyuki
2013-01-01
In Japan, only a few public libraries provide e-mail reference services. To help public libraries start e-mail reference services, the authors investigated reference questions received by libraries via e-mail and traditional face-to-face services. The authors found that research questions are more frequently observed among e-mail questions and…
ERIC Educational Resources Information Center
Aoyama, Ikuko; Yanagida, Takuya; Wright, Michelle F.
2018-01-01
Bullying can occur with differing levels of visibility (e.g., public or private) and in various contexts (e.g., face-to-face or online). This study examined 474 Japanese middle-school students' emotional responses to public versus private bullying scenarios in face-to-face and digital contexts. After reading four hypothetical bullying vignettes,…
Multi-pose facial correction based on Gaussian process with combined kernel function
NASA Astrophysics Data System (ADS)
Shi, Shuyan; Ji, Ruirui; Zhang, Fan
2018-04-01
In order to improve the recognition rate of various postures, this paper proposes a method of facial correction based on Gaussian Process which build a nonlinear regression model between the front and the side face with combined kernel function. The face images with horizontal angle from -45° to +45° can be properly corrected to front faces. Finally, Support Vector Machine is employed for face recognition. Experiments on CAS PEAL R1 face database show that Gaussian process can weaken the influence of pose changes and improve the accuracy of face recognition to certain extent.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-12-13
... FEDERAL HOUSING FINANCE AGENCY [No. 2011-N-13] Notice of Order: Revisions to Enterprise Public Use Database Incorporating High-Cost Single-Family Securitized Loan Data Fields and Technical Data Field..., regarding FHFA's adoption of an Order revising FHFA's Public Use Database matrices to include certain data...
16 CFR § 1102.28 - Publication of reports of harm.
Code of Federal Regulations, 2013 CFR
2013-01-01
... REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural Requirements § 1102.28... publish reports of harm that meet the requirements for publication in the Database. The Commission will... Commission may publish a report of harm that meets the requirements of § 1102.10(d) in the Database beyond...
DOE Office of Scientific and Technical Information (OSTI.GOV)
Straume, T.; Ricker, Y.; Thut, M.
1988-08-29
This database was constructed to support research in radiation biological dosimetry and risk assessment. Relevant publications were identified through detailed searches of national and international electronic databases and through our personal knowledge of the subject. Publications were numbered and key worded, and referenced in an electronic data-retrieval system that permits quick access through computerized searches on publication number, authors, key words, title, year, and journal name. Photocopies of all publications contained in the database are maintained in a file that is numerically arranged by citation number. This report of the database is provided as a useful reference and overview. Itmore » should be emphasized that the database will grow as new citations are added to it. With that in mind, we arranged this report in order of ascending citation number so that follow-up reports will simply extend this document. The database cite 1212 publications. Publications are from 119 different scientific journals, 27 of these journals are cited at least 5 times. It also contains reference to 42 books and published symposia, and 129 reports. Information relevant to radiation biological dosimetry and risk assessment is widely distributed among the scientific literature, although a few journals clearly dominate. The four journals publishing the largest number of relevant papers are Health Physics, Mutation Research, Radiation Research, and International Journal of Radiation Biology. Publications in Health Physics make up almost 10% of the current database.« less
Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression.
Gao, Guangwei; Yang, Jian; Jing, Xiaoyuan; Huang, Pu; Hua, Juliang; Yue, Dong
2016-01-01
In many real-world applications such as smart card solutions, law enforcement, surveillance and access control, the limited training sample size is the most fundamental problem. By making use of the low-rank structural information of the reconstructed error image, the so-called nuclear norm-based matrix regression has been demonstrated to be effective for robust face recognition with continuous occlusions. However, the recognition performance of nuclear norm-based matrix regression degrades greatly in the face of the small sample size problem. An alternative solution to tackle this problem is performing matrix regression on each patch and then integrating the outputs from all patches. However, it is difficult to set an optimal patch size across different databases. To fully utilize the complementary information from different patch scales for the final decision, we propose a multi-scale patch-based matrix regression scheme based on which the ensemble of multi-scale outputs can be achieved optimally. Extensive experiments on benchmark face databases validate the effectiveness and robustness of our method, which outperforms several state-of-the-art patch-based face recognition algorithms.
Rosset, Saharon; Aharoni, Ehud; Neuvirth, Hani
2014-07-01
Issues of publication bias, lack of replicability, and false discovery have long plagued the genetics community. Proper utilization of public and shared data resources presents an opportunity to ameliorate these problems. We present an approach to public database management that we term Quality Preserving Database (QPD). It enables perpetual use of the database for testing statistical hypotheses while controlling false discovery and avoiding publication bias on the one hand, and maintaining testing power on the other hand. We demonstrate it on a use case of a replication server for GWAS findings, underlining its practical utility. We argue that a shift to using QPD in managing current and future biological databases will significantly enhance the community's ability to make efficient and statistically sound use of the available data resources. © 2014 WILEY PERIODICALS, INC.
NASA Astrophysics Data System (ADS)
Song, Xiaoning; Feng, Zhen-Hua; Hu, Guosheng; Yang, Xibei; Yang, Jingyu; Qi, Yunsong
2015-09-01
This paper proposes a progressive sparse representation-based classification algorithm using local discrete cosine transform (DCT) evaluation to perform face recognition. Specifically, the sum of the contributions of all training samples of each subject is first taken as the contribution of this subject, then the redundant subject with the smallest contribution to the test sample is iteratively eliminated. Second, the progressive method aims at representing the test sample as a linear combination of all the remaining training samples, by which the representation capability of each training sample is exploited to determine the optimal "nearest neighbors" for the test sample. Third, the transformed DCT evaluation is constructed to measure the similarity between the test sample and each local training sample using cosine distance metrics in the DCT domain. The final goal of the proposed method is to determine an optimal weighted sum of nearest neighbors that are obtained under the local correlative degree evaluation, which is approximately equal to the test sample, and we can use this weighted linear combination to perform robust classification. Experimental results conducted on the ORL database of faces (created by the Olivetti Research Laboratory in Cambridge), the FERET face database (managed by the Defense Advanced Research Projects Agency and the National Institute of Standards and Technology), AR face database (created by Aleix Martinez and Robert Benavente in the Computer Vision Center at U.A.B), and USPS handwritten digit database (gathered at the Center of Excellence in Document Analysis and Recognition at SUNY Buffalo) demonstrate the effectiveness of the proposed method.
L.N. Hudson; T. Newbold; S. Contu
2014-01-01
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of speciesâ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that...
FOUNTAIN: A JAVA open-source package to assist large sequencing projects
Buerstedde, Jean-Marie; Prill, Florian
2001-01-01
Background Better automation, lower cost per reaction and a heightened interest in comparative genomics has led to a dramatic increase in DNA sequencing activities. Although the large sequencing projects of specialized centers are supported by in-house bioinformatics groups, many smaller laboratories face difficulties managing the appropriate processing and storage of their sequencing output. The challenges include documentation of clones, templates and sequencing reactions, and the storage, annotation and analysis of the large number of generated sequences. Results We describe here a new program, named FOUNTAIN, for the management of large sequencing projects . FOUNTAIN uses the JAVA computer language and data storage in a relational database. Starting with a collection of sequencing objects (clones), the program generates and stores information related to the different stages of the sequencing project using a web browser interface for user input. The generated sequences are subsequently imported and annotated based on BLAST searches against the public databases. In addition, simple algorithms to cluster sequences and determine putative polymorphic positions are implemented. Conclusions A simple, but flexible and scalable software package is presented to facilitate data generation and storage for large sequencing projects. Open source and largely platform and database independent, we wish FOUNTAIN to be improved and extended in a community effort. PMID:11591214
19 CFR 351.304 - Establishing business proprietary treatment of information.
Code of Federal Regulations, 2012 CFR
2012-04-01
... information. 351.304 Section 351.304 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE...) Electronic databases. In accordance with § 351.303(c)(3), an electronic database need not contain brackets... in the database. The public version of the database must be publicly summarized and ranged in...
19 CFR 351.304 - Establishing business proprietary treatment of information.
Code of Federal Regulations, 2013 CFR
2013-04-01
... information. 351.304 Section 351.304 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE...) Electronic databases. In accordance with § 351.303(c)(3), an electronic database need not contain brackets... in the database. The public version of the database must be publicly summarized and ranged in...
19 CFR 351.304 - Establishing business proprietary treatment of information.
Code of Federal Regulations, 2014 CFR
2014-04-01
... information. 351.304 Section 351.304 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE...) Electronic databases. In accordance with § 351.303(c)(3), an electronic database need not contain brackets... in the database. The public version of the database must be publicly summarized and ranged in...
Price, Curtis V.; Maupin, Molly A.
2014-01-01
The purpose of this report is to document the PSDB and explain the methods used to populate and update the data from the SDWIS, State datasets, and map and geospatial imagery. This report describes 3 data tables and 11 domain tables, including field contents, data sources, and relations between tables. Although the PSDB database is not available to the general public, this information should be useful for others who are developing other database systems to store and analyze public-supply system and facility data.
Choosing and using citation and bibliographic database software (BDS).
Hernandez, David A; El-Masri, Maher M; Hernandez, Cheri Ann
2008-01-01
The diabetes educator/researcher is faced with a proliferation of diabetes articles in various journals, both online and in print. Keeping track of cited references and remembering how to cite the references in text and the bibliography can be a daunting task for the new researcher and a tedious task for the experienced researcher. The challenge is to find and use a technology, such as bibliographic database software (BDS), which can help to manage this information overload. This article focuses on the use of BDS for the diabetes educator who is undertaking research. BDS can help researchers access and organize literature and make literature searches more efficient and less time consuming. Moreover, the use of such programs tends to reduce errors associated with the complexity of bibliographic citations and can increase the productivity of scholarly publications. The purpose of this article is to provide an overview of BDS currently available, describe how it can be used to aid researchers in their work, and highlight the features of different programs. It is important for diabetes educators and researchers to explore the many benefits of such BDS programs and consider their use to enhance the accuracy and efficiency of accessing and citing references of their research work and publications. Armed with this knowledge, researchers will be able to make informed decisions about selecting BDS which will meet their usage requirements.
Really Reaching the Public, Face-to-Face
NASA Astrophysics Data System (ADS)
Foukal, Peter
2014-02-01
This past summer I was able to provide a young couple with their first view of Saturn through a telescope, and afterward they told me what a profound experience this look into space had been for them. It wasn't the first time I'd seen such an emotional response since I opened the East Point Solar Observatory, a small public observatory in Nahant, Mass., in 1995. But listening to them reminded me how lucky we scientists are to pursue a career that brings out such warm feelings in our neighbors. It also made me wonder whether the effectiveness of our national approach to public outreach might be increased by more face-to-face contact between scientists and the public.
Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms.
Coppini, Giuseppe; Diciotti, Stefano; Falchini, Massimo; Villari, Natale; Valli, Guido
2003-12-01
The paper describes a neural-network-based system for the computer aided detection of lung nodules in chest radiograms. Our approach is based on multiscale processing and artificial neural networks (ANNs). The problem of nodule detection is faced by using a two-stage architecture including: 1) an attention focusing subsystem that processes whole radiographs to locate possible nodular regions ensuring high sensitivity; 2) a validation subsystem that processes regions of interest to evaluate the likelihood of the presence of a nodule, so as to reduce false alarms and increase detection specificity. Biologically inspired filters (both LoG and Gabor kernels) are used to enhance salient image features. ANNs of the feedforward type are employed, which allow an efficient use of a priori knowledge about the shape of nodules, and the background structure. The images from the public JSRT database, including 247 radiograms, were used to build and test the system. We performed a further test by using a second private database with 65 radiograms collected and annotated at the Radiology Department of the University of Florence. Both data sets include nodule and nonnodule radiographs. The use of a public data set along with independent testing with a different image set makes the comparison with other systems easier and allows a deeper understanding of system behavior. Experimental results are described by ROC/FROC analysis. For the JSRT database, we observed that by varying sensitivity from 60 to 75% the number of false alarms per image lies in the range 4-10, while accuracy is in the range 95.7-98.0%. When the second data set was used comparable results were obtained. The observed system performances support the undertaking of system validation in clinical settings.
Exploration of the Chemical Space of Public Genomic Databases
The current project aims to chemically index the content of public genomic databases to make these data accessible in relation to other publicly available, chemically-indexed toxicological information.
Development of a Rural Health Framework: Implications for Program Service Planning and Delivery
White, Deanna
2013-01-01
Purpose: To describe the development and application of an evidence-based Rural Health Framework to guide rural health program, policy and service planning. Methods: A literature review of rural health programs, focusing on health promotion, chronic disease prevention and population health, was conducted using several bibliographic databases. Findings: Thirty papers met the criteria for review, describing chronic disease interventions and public health policies in rural settings. Twenty-one papers demonstrated effective intervention programs and highlighted potential good practices for rural health programs, which were used to define key elements of a Rural Health Framework. Conclusions: The Rural Health Framework was applied to an influenza immunization program to demonstrate its utility in assisting public health providers to increase uptake of the vaccine. This Rural Health Framework provides an opportunity for program planners to reflect on the key issues facing rural communities to ensure the development of policies and strategies that will prudently and effectively meet population health needs. PMID:23968625
Visual search for emotional expressions: Effect of stimulus set on anger and happiness superiority.
Savage, Ruth A; Becker, Stefanie I; Lipp, Ottmar V
2016-01-01
Prior reports of preferential detection of emotional expressions in visual search have yielded inconsistent results, even for face stimuli that avoid obvious expression-related perceptual confounds. The current study investigated inconsistent reports of anger and happiness superiority effects using face stimuli drawn from the same database. Experiment 1 excluded procedural differences as a potential factor, replicating a happiness superiority effect in a procedure that previously yielded an anger superiority effect. Experiments 2a and 2b confirmed that image colour or poser gender did not account for prior inconsistent findings. Experiments 3a and 3b identified stimulus set as the critical variable, revealing happiness or anger superiority effects for two partially overlapping sets of face stimuli. The current results highlight the critical role of stimulus selection for the observation of happiness or anger superiority effects in visual search even for face stimuli that avoid obvious expression related perceptual confounds and are drawn from a single database.
Face recognition using tridiagonal matrix enhanced multivariance products representation
NASA Astrophysics Data System (ADS)
Ã-zay, Evrim Korkmaz
2017-01-01
This study aims to retrieve face images from a database according to a target face image. For this purpose, Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR) is taken into consideration. TMEMPR is a recursive algorithm based on Enhanced Multivariance Products Representation (EMPR). TMEMPR decomposes a matrix into three components which are a matrix of left support terms, a tridiagonal matrix of weight parameters for each recursion, and a matrix of right support terms, respectively. In this sense, there is an analogy between Singular Value Decomposition (SVD) and TMEMPR. However TMEMPR is a more flexible algorithm since its initial support terms (or vectors) can be chosen as desired. Low computational complexity is another advantage of TMEMPR because the algorithm has been constructed with recursions of certain arithmetic operations without requiring any iteration. The algorithm has been trained and tested with ORL face image database with 400 different grayscale images of 40 different people. TMEMPR's performance has been compared with SVD's performance as a result.
75 FR 41180 - Notice of Order: Revisions to Enterprise Public Use Database
Federal Register 2010, 2011, 2012, 2013, 2014
2010-07-15
... Database AGENCY: Federal Housing Finance Agency. ACTION: Notice of order. SUMMARY: Section 1323(a)(1) of.... This responsibility to maintain a public use database (PUDB) for such mortgage data was transferred to... purpose of loan data field in these two databases. 4. Single-family Data Field 27 and Multifamily Data...
Expert searching in public health
Alpi, Kristine M.
2005-01-01
Objective: The article explores the characteristics of public health information needs and the resources available to address those needs that distinguish it as an area of searching requiring particular expertise. Methods: Public health searching activities from reference questions and literature search requests at a large, urban health department library were reviewed to identify the challenges in finding relevant public health information. Results: The terminology of the information request frequently differed from the vocabularies available in the databases. Searches required the use of multiple databases and/or Web resources with diverse interfaces. Issues of the scope and features of the databases relevant to the search questions were considered. Conclusion: Expert searching in public health differs from other types of expert searching in the subject breadth and technical demands of the databases to be searched, the fluidity and lack of standardization of the vocabulary, and the relative scarcity of high-quality investigations at the appropriate level of geographic specificity. Health sciences librarians require a broad exposure to databases, gray literature, and public health terminology to perform as expert searchers in public health. PMID:15685281
Implementation of a cardiac surgery report card: lessons from the Massachusetts experience.
Shahian, David M; Torchiana, David F; Normand, Sharon-Lise T
2005-09-01
Demand is increasing for public accountability in health care. In 2000, the Massachusetts legislature mandated a state report card for cardiac surgery and percutaneous coronary interventions. During the planning and implementation of this report card, a number of observations were made that may prove useful to other states faced with similar mandates. These include the necessity for constructive, nonadversarial collaboration between regulators, clinicians, and statisticians; the advantages of preemptive adoption of The Society of Thoracic Surgeons [STS] National Cardiac Database, preferably before a report card is mandated; the support and resources available to cardiac surgeons through the STS, the National Cardiac Database Committee, and the Duke Clinical Research Institute; the value of a state STS organization; and the importance of media education to facilitate fair and dispassionate press coverage. Some important features of report cards may vary from state to state depending on the legislative mandate, local preferences, and statistical expertise. These include the choice of a statistical model and analytical technique, national versus regional reference population, and whether individual surgeon profiling is required.
PPDB - A tool for investigation of plants physiology based on gene ontology.
Sharma, Ajay Shiv; Gupta, Hari Om; Prasad, Rajendra
2014-09-02
Representing the way forward, from functional genomics and its ontology to functional understanding and physiological model, in a computationally tractable fashion is one of the ongoing challenges faced by computational biology. To tackle the standpoint, we herein feature the applications of contemporary database management to the development of PPDB, a searching and browsing tool for the Plants Physiology Database that is based upon the mining of a large amount of gene ontology data currently available. The working principles and search options associated with the PPDB are publicly available and freely accessible on-line ( http://www.iitr.ernet.in/ajayshiv/ ) through a user friendly environment generated by means of Drupal-6.24. By knowing that genes are expressed in temporally and spatially characteristic patterns and that their functionally distinct products often reside in specific cellular compartments and may be part of one or more multi-component complexes, this sort of work is intended to be relevant for investigating the functional relationships of gene products at a system level and, thus, helps us approach to the full physiology.
PPDB: A Tool for Investigation of Plants Physiology Based on Gene Ontology.
Sharma, Ajay Shiv; Gupta, Hari Om; Prasad, Rajendra
2015-09-01
Representing the way forward, from functional genomics and its ontology to functional understanding and physiological model, in a computationally tractable fashion is one of the ongoing challenges faced by computational biology. To tackle the standpoint, we herein feature the applications of contemporary database management to the development of PPDB, a searching and browsing tool for the Plants Physiology Database that is based upon the mining of a large amount of gene ontology data currently available. The working principles and search options associated with the PPDB are publicly available and freely accessible online ( http://www.iitr.ac.in/ajayshiv/ ) through a user-friendly environment generated by means of Drupal-6.24. By knowing that genes are expressed in temporally and spatially characteristic patterns and that their functionally distinct products often reside in specific cellular compartments and may be part of one or more multicomponent complexes, this sort of work is intended to be relevant for investigating the functional relationships of gene products at a system level and, thus, helps us approach to the full physiology.
NASA Astrophysics Data System (ADS)
Gaspar Aparicio, R.; Gomez, D.; Coterillo Coz, I.; Wojcik, D.
2012-12-01
At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.
NREL: U.S. Life Cycle Inventory Database - Publications
Publications Planning Documents U.S. Life Cycle Inventory Database Roadmap, February 2009 U.S. Life Cycle Inventory User Survey, February 2009 U.S. LCI Database Factsheet, March 2005 User's Guide for Life
16 CFR 1102.24 - Designation of confidential information.
Code of Federal Regulations, 2014 CFR
2014-01-01
... ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural... allegedly confidential information is not placed in the database, a request for designation of confidential... publication in the Database until it makes a determination regarding confidential treatment. (e) Assistance...
16 CFR 1102.24 - Designation of confidential information.
Code of Federal Regulations, 2012 CFR
2012-01-01
... ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural... allegedly confidential information is not placed in the database, a request for designation of confidential... publication in the Database until it makes a determination regarding confidential treatment. (e) Assistance...
Comparison of face types in Chinese women using three-dimensional computed tomography.
Zhou, Rong-Rong; Zhao, Qi-Ming; Liu, Miao
2015-04-01
This study compared inverted triangle and square faces of 21 young Chinese Han women (18-25 years old) using three-dimensional computed tomography images retrieved from a records database. In this study, 11 patients had inverted triangle faces and 10 had square faces. The anatomic features were examined and compared. There were significant differences in lower face width, lower face height, masseter thickness, middle/lower face width ratio, and lower face width/height ratio between the two facial types (p < 0.01). Lower face width was positively correlated with masseter thickness and negatively correlated with gonial angle. Lower face height was positively correlated with gonial angle and negatively correlated with masseter thickness, and gonial angle was negatively correlated with masseter thickness. In young Chinese Han women, inverted triangle faces and square faces differ significantly in masseter thickness and lower face height. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-09-28
... Database Incorporating High-Cost Single-Family Securitized Loan Data Fields and Technical Data Field... single-family matrix in FHFA's Public Use Database (PUDB) to include data fields for the high-cost single... of loan attributes in FHFA's databases that could be used, singularly or in some combination, to...
The biometric-based module of smart grid system
NASA Astrophysics Data System (ADS)
Engel, E.; Kovalev, I. V.; Ermoshkina, A.
2015-10-01
Within Smart Grid concept the flexible biometric-based module base on Principal Component Analysis (PCA) and selective Neural Network is developed. The formation of the selective Neural Network the biometric-based module uses the method which includes three main stages: preliminary processing of the image, face localization and face recognition. Experiments on the Yale face database show that (i) selective Neural Network exhibits promising classification capability for face detection, recognition problems; and (ii) the proposed biometric-based module achieves near real-time face detection, recognition speed and the competitive performance, as compared to some existing subspaces-based methods.
Performance evaluation of wavelet-based face verification on a PDA recorded database
NASA Astrophysics Data System (ADS)
Sellahewa, Harin; Jassim, Sabah A.
2006-05-01
The rise of international terrorism and the rapid increase in fraud and identity theft has added urgency to the task of developing biometric-based person identification as a reliable alternative to conventional authentication methods. Human Identification based on face images is a tough challenge in comparison to identification based on fingerprints or Iris recognition. Yet, due to its unobtrusive nature, face recognition is the preferred method of identification for security related applications. The success of such systems will depend on the support of massive infrastructures. Current mobile communication devices (3G smart phones) and PDA's are equipped with a camera which can capture both still and streaming video clips and a touch sensitive display panel. Beside convenience, such devices provide an adequate secure infrastructure for sensitive & financial transactions, by protecting against fraud and repudiation while ensuring accountability. Biometric authentication systems for mobile devices would have obvious advantages in conflict scenarios when communication from beyond enemy lines is essential to save soldier and civilian life. In areas of conflict or disaster the luxury of fixed infrastructure is not available or destroyed. In this paper, we present a wavelet-based face verification scheme that have been specifically designed and implemented on a currently available PDA. We shall report on its performance on the benchmark audio-visual BANCA database and on a newly developed PDA recorded audio-visual database that take include indoor and outdoor recordings.
Kruskal-Wallis-based computationally efficient feature selection for face recognition.
Ali Khan, Sajid; Hussain, Ayyaz; Basit, Abdul; Akram, Sheeraz
2014-01-01
Face recognition in today's technological world, and face recognition applications attain much more importance. Most of the existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images. The proposed technique effectively extracts the prominent facial features. Most of the features are redundant and do not contribute to representing face. In order to eliminate those redundant features, computationally efficient algorithm is used to select the more discriminative face features. Extracted features are then passed to classification step. In the classification step, different classifiers are ensemble to enhance the recognition accuracy rate as single classifier is unable to achieve the high accuracy. Experiments are performed on standard face database images and results are compared with existing techniques.
16 CFR 1102.12 - Manufacturer comments.
Code of Federal Regulations, 2012 CFR
2012-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.12 Manufacturer... Database if such manufacturer comment meets the following requirements: (1) Manufacturer comment relates to... publication in the Database. (2) Unique identifier. A manufacturer comment must state the unique identifier...
16 CFR § 1102.24 - Designation of confidential information.
Code of Federal Regulations, 2013 CFR
2013-01-01
... SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural... allegedly confidential information is not placed in the database, a request for designation of confidential... publication in the Database until it makes a determination regarding confidential treatment. (e) Assistance...
16 CFR 1102.12 - Manufacturer comments.
Code of Federal Regulations, 2011 CFR
2011-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan. 10, 2011) Content Requirements... private labeler in the Database if such manufacturer comment meets the following requirements: (1... that is submitted for publication in the Database. (2) Unique identifier. A manufacturer comment must...
16 CFR 1102.12 - Manufacturer comments.
Code of Federal Regulations, 2014 CFR
2014-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.12 Manufacturer... Database if such manufacturer comment meets the following requirements: (1) Manufacturer comment relates to... publication in the Database. (2) Unique identifier. A manufacturer comment must state the unique identifier...
An embedded face-classification system for infrared images on an FPGA
NASA Astrophysics Data System (ADS)
Soto, Javier E.; Figueroa, Miguel
2014-10-01
We present a face-classification architecture for long-wave infrared (IR) images implemented on a Field Programmable Gate Array (FPGA). The circuit is fast, compact and low power, can recognize faces in real time and be embedded in a larger image-processing and computer vision system operating locally on an IR camera. The algorithm uses Local Binary Patterns (LBP) to perform feature extraction on each IR image. First, each pixel in the image is represented as an LBP pattern that encodes the similarity between the pixel and its neighbors. Uniform LBP codes are then used to reduce the number of patterns to 59 while preserving more than 90% of the information contained in the original LBP representation. Then, the image is divided into 64 non-overlapping regions, and each region is represented as a 59-bin histogram of patterns. Finally, the algorithm concatenates all 64 regions to create a 3,776-bin spatially enhanced histogram. We reduce the dimensionality of this histogram using Linear Discriminant Analysis (LDA), which improves clustering and enables us to store an entire database of 53 subjects on-chip. During classification, the circuit applies LBP and LDA to each incoming IR image in real time, and compares the resulting feature vector to each pattern stored in the local database using the Manhattan distance. We implemented the circuit on a Xilinx Artix-7 XC7A100T FPGA and tested it with the UCHThermalFace database, which consists of 28 81 x 150-pixel images of 53 subjects in indoor and outdoor conditions. The circuit achieves a 98.6% hit ratio, trained with 16 images and tested with 12 images of each subject in the database. Using a 100 MHz clock, the circuit classifies 8,230 images per second, and consumes only 309mW.
[Privacy and public benefit in using large scale health databases].
Yamamoto, Ryuichi
2014-01-01
In Japan, large scale heath databases were constructed in a few years, such as National Claim insurance and health checkup database (NDB) and Japanese Sentinel project. But there are some legal issues for making adequate balance between privacy and public benefit by using such databases. NDB is carried based on the act for elderly person's health care but in this act, nothing is mentioned for using this database for general public benefit. Therefore researchers who use this database are forced to pay much concern about anonymization and information security that may disturb the research work itself. Japanese Sentinel project is a national project to detecting drug adverse reaction using large scale distributed clinical databases of large hospitals. Although patients give the future consent for general such purpose for public good, it is still under discussion using insufficiently anonymized data. Generally speaking, researchers of study for public benefit will not infringe patient's privacy, but vague and complex requirements of legislation about personal data protection may disturb the researches. Medical science does not progress without using clinical information, therefore the adequate legislation that is simple and clear for both researchers and patients is strongly required. In Japan, the specific act for balancing privacy and public benefit is now under discussion. The author recommended the researchers including the field of pharmacology should pay attention to, participate in the discussion of, and make suggestion to such act or regulations.
A familiarity disadvantage for remembering specific images of faces.
Armann, Regine G M; Jenkins, Rob; Burton, A Mike
2016-04-01
Familiar faces are remembered better than unfamiliar faces. Furthermore, it is much easier to match images of familiar than unfamiliar faces. These findings could be accounted for by quantitative differences in the ease with which faces are encoded. However, it has been argued that there are also some qualitative differences in familiar and unfamiliar face processing. Unfamiliar faces are held to rely on superficial, pictorial representations, whereas familiar faces invoke more abstract representations. Here we present 2 studies that show, for 1 task, an advantage for unfamiliar faces. In recognition memory, viewers are better able to reject a new picture, if it depicts an unfamiliar face. This rare advantage for unfamiliar faces supports the notion that familiarity brings about some representational changes, and further emphasizes the idea that theoretical accounts of face processing should incorporate familiarity. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Publications | Hydrogen and Fuel Cells | NREL
, and demonstration activities in hydrogen and fuel cells. NREL Publications Database Access the full library of our publications. Search the database View all NREL publications about hydrogen and fuel cell research. Transportation and Hydrogen Newsletter Get semi-monthly updates on NREL's research, development
Hartung, Daniel M; Zarin, Deborah A; Guise, Jeanne-Marie; McDonagh, Marian; Paynter, Robin; Helfand, Mark
2014-04-01
ClinicalTrials.gov requires reporting of result summaries for many drug and device trials. To evaluate the consistency of reporting of trials that are registered in the ClinicalTrials.gov results database and published in the literature. ClinicalTrials.gov results database and matched publications identified through ClinicalTrials.gov and a manual search of 2 electronic databases. 10% random sample of phase 3 or 4 trials with results in the ClinicalTrials.gov results database, completed before 1 January 2009, with 2 or more groups. One reviewer extracted data about trial design and results from the results database and matching publications. A subsample was independently verified. Of 110 trials with results, most were industry-sponsored, parallel-design drug studies. The most common inconsistency was the number of secondary outcome measures reported (80%). Sixteen trials (15%) reported the primary outcome description inconsistently, and 22 (20%) reported the primary outcome value inconsistently. Thirty-eight trials inconsistently reported the number of individuals with a serious adverse event (SAE); of these, 33 (87%) reported more SAEs in ClinicalTrials.gov. Among the 84 trials that reported SAEs in ClinicalTrials.gov, 11 publications did not mention SAEs, 5 reported them as zero or not occurring, and 21 reported a different number of SAEs. Among 29 trials that reported deaths in ClinicalTrials.gov, 28% differed from the matched publication. Small sample that included earliest results posted to the database. Reporting discrepancies between the ClinicalTrials.gov results database and matching publications are common. Which source contains the more accurate account of results is unclear, although ClinicalTrials.gov may provide a more comprehensive description of adverse events than the publication. Agency for Healthcare Research and Quality.
Section 6 Schools in Six States: Eleven Case Studies of Transfer Issues
1991-01-01
in Facing Up--21: Statistical Data on Virginia’s Public Schools, published by the State Department of Education , Virginia, June 1987. - 200 - State...Department of Education , Facing Up--23 Statistical Data on Virginia’s Public Schools, April 1989. Although the county has experienced some growth, the...and state level. 2This and the following data are from the Virginia Department of Education , Facing Up--23 Statistical Data on Virginia’s Public
16 CFR 1102.24 - Designation of confidential information.
Code of Federal Regulations, 2011 CFR
2011-01-01
... ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan. 10, 2011... allegedly confidential information is not placed in the database, a request for designation of confidential... publication in the Database until it makes a determination regarding confidential treatment. (e) Assistance...
16 CFR § 1102.12 - Manufacturer comments.
Code of Federal Regulations, 2013 CFR
2013-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.12 Manufacturer... Database if such manufacturer comment meets the following requirements: (1) Manufacturer comment relates to... publication in the Database. (2) Unique identifier. A manufacturer comment must state the unique identifier...
1983-06-01
be registered on the agenda. At each step or analysis, the action with the highest score is executed and the database is changed. The agenda controls...activation of production rules according to changes in the database . The agenda is updated whenever the database is changed. Each time, the number of...views of an object. Total prediction has combinatorial complexity. For a polyhedron with n distinct faces, there are 2" views. Instead, ACRONYM predicts
Unique effects of setting goals on behavior change: Systematic review and meta-analysis.
Epton, Tracy; Currie, Sinead; Armitage, Christopher J
2017-12-01
Goal setting is a common feature of behavior change interventions, but it is unclear when goal setting is optimally effective. The aims of this systematic review and meta-analysis were to evaluate: (a) the unique effects of goal setting on behavior change, and (b) under what circumstances and for whom goal setting works best. Four databases were searched for articles that assessed the unique effects of goal setting on behavior change using randomized controlled trials. One-hundred and 41 papers were identified from which 384 effect sizes (N = 16,523) were extracted and analyzed. A moderator analysis of sample characteristics, intervention characteristics, inclusion of other behavior change techniques, study design and delivery, quality of study, outcome measures, and behavior targeted was conducted. A random effects model indicated a small positive unique effect of goal setting across a range of behaviors, d = .34 (CI [.28, .41]). Moderator analyses indicated that goal setting was particularly effective if the goal was: (a) difficult, (b) set publicly, and (c) was a group goal. There was weaker evidence that goal setting was more effective when paired with external monitoring of the behavior/outcome by others without feedback and delivered face-to-face. Goal setting is an effective behavior change technique that has the potential to be considered a fundamental component of successful interventions. The present review adds novel insights into the means by which goal setting might be augmented to maximize behavior change and sets the agenda for future programs of research. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Work-related social skills: Definitions and interventions in public vocational rehabilitation.
Phillips, Brian N; Kaseroff, Ashley A; Fleming, Allison R; Huck, Garrett E
2014-11-01
Social skills play an important role in employment. This study provides a qualitative analysis of salient work related social skills and interventions for addressing social skills in public vocational rehabilitation (VR). A modified consensual qualitative research (CQR) approach was taken to understand the elements and influence of work related social skills in public VR. Thirty-five counselors, supervisors, and administrators participated in semistructured interviews to provide their perspectives of work related social skills and the interventions they use for addressing these skills. Multiple aspects of work-related social skills were described as being important for VR consumer success. The most common work related social skills across all participants were nonverbal communication and the ability to connect with others. Primary social interventions included informal social skills training (SST), systems collaboration, and creating an appropriate job match. Public rehabilitation agency staff, constantly faced with addressing work related social skills, possess many insights about salient skills and interventions that can benefit future research and practice. Agencies currently address social skills deficits by providing interventions to both person and environment. The research provides directions for future research related to identification of social skills and interventions to address related deficits. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
A community-based partnership to promote information infrastructure for bleeding disorders.
Aschman, Diane J; Abshire, Thomas C; Shapiro, Amy D; Lusher, Jeanne M; Forsberg, Ann D; Kulkarni, Roshni
2011-12-01
Specialists in rare disorders often face challenges in collecting surveillance and research data. As movement toward more fully realizing the potential of electronic health information gains momentum, practitioners who treat individuals with rare disorders are in need of public-private support to tap into the advantages offered by the developing electronic information technologies and the interoperability standards promulgated by the USDHHS. The not-for-profit American Thrombosis and Hemostasis Network (ATHN) was created in 2006 to provide stewardship of a secure, national, web-based database to support federally funded hemophilia treatment centers (HTCs) across the country. In pursuit of its mission to support clinical outcomes analysis, research, advocacy, and public health reporting in the hemostasis and thrombosis community, ATHN has established a spectrum of community-based partnerships. This paper describes the process and public health benefits of creating formal relationships with 127 of the 134 HTCs from 12 regional networks across the U.S., government agencies such as the CDC, Health Resources and Services Administration, and NIH; consumer-based organizations; and industry leaders. This community-based partnership model can be applied to other rare disorders communities with high economic and public health impact. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
Health Risks Faced by Public School Band Directors
ERIC Educational Resources Information Center
Woolery, Danielle N.; Woolery, Jesse A.
2013-01-01
Public school band directors face many work-related hazards in their grueling, yet rewarding job. As a school year progresses, directors are expected to work long hours, while trying to balance professional and personal responsibilities. A band director whose career spans multiple decades can potentially face a number of serious medical problems.…
Online vs. Print Publications: Users' Opinions.
ERIC Educational Resources Information Center
Wang, Chih
The rapid expansion of online publications has raised some concerns about the use of online databases in comparison with using traditional print publications. To determine the opinions of end users about using Dialog online databases versus their corresponding print versions, three libraries in Atlanta, Georgia--Atlanta-Fulton Public Library,…
Face recognition via edge-based Gabor feature representation for plastic surgery-altered images
NASA Astrophysics Data System (ADS)
Chude-Olisah, Chollette C.; Sulong, Ghazali; Chude-Okonkwo, Uche A. K.; Hashim, Siti Z. M.
2014-12-01
Plastic surgery procedures on the face introduce skin texture variations between images of the same person (intra-subject), thereby making the task of face recognition more difficult than in normal scenario. Usually, in contemporary face recognition systems, the original gray-level face image is used as input to the Gabor descriptor, which translates to encoding some texture properties of the face image. The texture-encoding process significantly degrades the performance of such systems in the case of plastic surgery due to the presence of surgically induced intra-subject variations. Based on the proposition that the shape of significant facial components such as eyes, nose, eyebrow, and mouth remains unchanged after plastic surgery, this paper employs an edge-based Gabor feature representation approach for the recognition of surgically altered face images. We use the edge information, which is dependent on the shapes of the significant facial components, to address the plastic surgery-induced texture variation problems. To ensure that the significant facial components represent useful edge information with little or no false edges, a simple illumination normalization technique is proposed for preprocessing. Gabor wavelet is applied to the edge image to accentuate on the uniqueness of the significant facial components for discriminating among different subjects. The performance of the proposed method is evaluated on the Georgia Tech (GT) and the Labeled Faces in the Wild (LFW) databases with illumination and expression problems, and the plastic surgery database with texture changes. Results show that the proposed edge-based Gabor feature representation approach is robust against plastic surgery-induced face variations amidst expression and illumination problems and outperforms the existing plastic surgery face recognition methods reported in the literature.
Luchenski, Serena; Balasanthiran, Anjali; Marston, Cicely; Sasaki, Kaori; Majeed, Azeem; Bell, Derek; Reed, Julie E
2012-05-23
Immediate access to patients' complete health records via electronic databases could improve healthcare and facilitate health research. However, the possible benefits of a national electronic health records (EHR) system must be balanced against public concerns about data security and personal privacy. Successful development of EHR requires better understanding of the views of the public and those most affected by EHR: users of the National Health Service. This study aims to explore the correlation between personal healthcare experience (including number of healthcare contacts and number and type of longer term conditions) and views relating to development of EHR for healthcare, health services planning and policy and health research. A multi-site cross-sectional self-complete questionnaire designed and piloted for use in waiting rooms was administered to patients from randomly selected outpatients' clinics at a university teaching hospital (431 beds) and general practice surgeries from the four primary care trusts within the catchment area of the hospital. All patients entering the selected outpatients clinics and general practice surgeries were invited to take part in the survey during August-September 2011. Statistical analyses will be conducted using descriptive techniques to present respondents' overall views about electronic health records and logistic regression to explore associations between these views and participants' personal circumstances, experiences, sociodemographics and more specific views about electronic health records. The study design and implementation were successful, resulting in unusually high response rates and overall recruitment (85.5%, 5336 responses). Rates for face-to-face recruitment in previous work are variable, but typically lower (mean 76.7%, SD 20). We discuss details of how we collected the data to provide insight into how we obtained this unusually high response rate.
ERIC Educational Resources Information Center
Tsuji, Keita; To, Haruna; Hara, Atsuyuki
2011-01-01
We asked the same 60 questions using DRS (digital reference services) in Japanese public libraries, face-to-face reference services and Q & A (question and answer) sites. It was found that: (1) The correct answer ratio of DRS is higher than that of Q & A sites; (2) DRS takes longer to provide answers as compared to Q & A sites; and (3)…
Influences of face, stigma, and psychological symptoms on help-seeking attitudes in Macao.
Cheang, Sut Ieng; Davis, J Mark
2014-09-01
The purpose of this study was to examine the relationships between concerns about loss of face, stigma, psychological symptoms, and attitudes toward seeking mental health services such as counseling in Macao. Participants included 391 students attending the largest public university in Macao: 277 were from Macao and 114 were from Mainland China. Participants completed questionnaires measuring attitudes toward seeking professional psychological help, concerns about loss of face, self-stigma, public-stigma, and psychological symptoms. Results showed that positive attitudes toward help-seeking were significantly negatively correlated with self-stigma, public-stigma, and concerns about loss of face but there was no significant correlation with psychological symptoms. Psychological symptoms were positively correlated with face concerns, self-stigma, and public-stigma. Stigma (self and public) was found to be significantly positively associated with face concerns, but the correlations were weak. Findings also showed that Macao students had higher levels of distress, and endorsed greater self- and public-stigma than Mainland Chinese students; however, the groups did not differ in face concerns or attitudes toward help-seeking. Regression analysis indicated that group membership was not a significant predictor of help-seeking. Self-stigma was the strongest predictor of professional help-seeking. Age and sex were also found to be significant predictors. Results suggested that younger students were more likely to seek help and that female students reported greater levels of distress and tended to have more positive attitudes toward seeking psychological services than male students. © 2014 The Institute of Psychology, Chinese Academy of Sciences and Wiley Publishing Asia Pty Ltd.
Self-stigma and affiliate stigma in first-episode psychosis patients and their caregivers.
Chen, Emily S M; Chang, Wing Chung; Hui, Christy L M; Chan, Sherry K W; Lee, Edwin Ho Ming; Chen, Eric Y H
2016-09-01
Stigma is a major factor causing delayed help-seeking and poor treatment adherence in patients with psychotic disorders. Previous research has mostly focused on chronic samples and the impact of culturally-relevant variables on both patients' and their caregivers' stigmatization is understudied. This study aimed to examine the relationships between various forms of stigma, "face concern", and clinical characteristics in a group of Chinese first-episode psychosis (FEP) patients and their caregivers. Forty-four Hong Kong Chinese aged 15-54 years presenting with FEP to psychiatric services and their caregivers were recruited. Assessments on self-stigma, affiliate stigma, perceived public stigma, "face concern", symptom severity and subjective quality of life (QoL) were conducted. Self-stigma of FEP patients was correlated with perceived public stigma, "face concern", insight and psychological health of QoL. Multiple regression analysis revealed that perceived public stigma and "face concern" independently predicted self-stigma. Mediation analysis further suggested that "face concern" partially mediated the relationship between perceived public stigma and self-stigma. Caregivers' affiliate stigma was significantly associated with higher levels of stress, and symptoms of depression and anxiety. Affiliate stigma did not correlate with perceived public stigma and "face concern". Our results indicate a critical role of perceived public stigma and fear of losing face in determining self-stigma in Chinese patients with FEP. Caregivers with greater degree of affiliate stigma experience increased stress and emotional distress. Our findings highlight the importance to examine culturally specific factors that may contribute to the development of self-stigma in first-episode populations of different ethnicities.
75 FR 29155 - Publicly Available Consumer Product Safety Information Database
Federal Register 2010, 2011, 2012, 2013, 2014
2010-05-24
...The Consumer Product Safety Commission (``Commission,'' ``CPSC,'' or ``we'') is issuing a notice of proposed rulemaking that would establish a publicly available consumer product safety information database (``database''). Section 212 of the Consumer Product Safety Improvement Act of 2008 (``CPSIA'') amended the Consumer Product Safety Act (``CPSA'') to require the Commission to establish and maintain a publicly available, searchable database on the safety of consumer products, and other products or substances regulated by the Commission. The proposed rule would interpret various statutory requirements pertaining to the information to be included in the database and also would establish provisions regarding submitting reports of harm; providing notice of reports of harm to manufacturers; publishing reports of harm and manufacturer comments in the database; and dealing with confidential and materially inaccurate information.
DSSTox Website Launch: Improving Public Access to Databases for Building Structure-Toxicity Prediction Models
Ann M. Richard
US Environmental Protection Agency, Research Triangle Park, NC, USA
Distributed: Decentralized set of standardized, field-delimited databases,...
16 CFR 1102.10 - Reports of harm.
Code of Federal Regulations, 2012 CFR
2012-01-01
... AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.10 Reports of harm. (a... they have a public safety purpose. (b) Manner of submission. To be entered into the Database, reports... Commission will publish in the Publicly Available Consumer Product Safety Information Database reports of...
16 CFR 1102.26 - Determination of materially inaccurate information.
Code of Federal Regulations, 2012 CFR
2012-01-01
... SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural... reviewing a report of harm or manufacturer comment, either before or after publication in the Database, may... manufacturer comment, be excluded from the Database or corrected by the Commission because it contains...
16 CFR 1102.26 - Determination of materially inaccurate information.
Code of Federal Regulations, 2014 CFR
2014-01-01
... SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural... reviewing a report of harm or manufacturer comment, either before or after publication in the Database, may... manufacturer comment, be excluded from the Database or corrected by the Commission because it contains...
16 CFR 1102.10 - Reports of harm.
Code of Federal Regulations, 2014 CFR
2014-01-01
... AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.10 Reports of harm. (a... they have a public safety purpose. (b) Manner of submission. To be entered into the Database, reports... Commission will publish in the Publicly Available Consumer Product Safety Information Database reports of...
16 CFR 1102.10 - Reports of harm.
Code of Federal Regulations, 2011 CFR
2011-01-01
... AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan. 10, 2011) Content Requirements § 1102.10... they have a public safety purpose. (b) Manner of submission. To be entered into the Database, reports... Commission will publish in the Publicly Available Consumer Product Safety Information Database reports of...
False match elimination for face recognition based on SIFT algorithm
NASA Astrophysics Data System (ADS)
Gu, Xuyuan; Shi, Ping; Shao, Meide
2011-06-01
The SIFT (Scale Invariant Feature Transform) is a well known algorithm used to detect and describe local features in images. It is invariant to image scale, rotation and robust to the noise and illumination. In this paper, a novel method used for face recognition based on SIFT is proposed, which combines the optimization of SIFT, mutual matching and Progressive Sample Consensus (PROSAC) together and can eliminate the false matches of face recognition effectively. Experiments on ORL face database show that many false matches can be eliminated and better recognition rate is achieved.
Sub-pattern based multi-manifold discriminant analysis for face recognition
NASA Astrophysics Data System (ADS)
Dai, Jiangyan; Guo, Changlu; Zhou, Wei; Shi, Yanjiao; Cong, Lin; Yi, Yugen
2018-04-01
In this paper, we present a Sub-pattern based Multi-manifold Discriminant Analysis (SpMMDA) algorithm for face recognition. Unlike existing Multi-manifold Discriminant Analysis (MMDA) approach which is based on holistic information of face image for recognition, SpMMDA operates on sub-images partitioned from the original face image and then extracts the discriminative local feature from the sub-images separately. Moreover, the structure information of different sub-images from the same face image is considered in the proposed method with the aim of further improve the recognition performance. Extensive experiments on three standard face databases (Extended YaleB, CMU PIE and AR) demonstrate that the proposed method is effective and outperforms some other sub-pattern based face recognition methods.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 45 Public Welfare 4 2013-10-01 2013-10-01 false Definitions. 1638.2 Section 1638.2 Public Welfare Regulations Relating to Public Welfare (Continued) LEGAL SERVICES CORPORATION RESTRICTION ON SOLICITATION § 1638.2 Definitions. (a) In-person means a face-to-face encounter or a personal encounter via other...
Code of Federal Regulations, 2012 CFR
2012-10-01
... 45 Public Welfare 4 2012-10-01 2012-10-01 false Definitions. 1638.2 Section 1638.2 Public Welfare Regulations Relating to Public Welfare (Continued) LEGAL SERVICES CORPORATION RESTRICTION ON SOLICITATION § 1638.2 Definitions. (a) In-person means a face-to-face encounter or a personal encounter via other...
Code of Federal Regulations, 2014 CFR
2014-10-01
... 45 Public Welfare 4 2014-10-01 2014-10-01 false Definitions. 1638.2 Section 1638.2 Public Welfare Regulations Relating to Public Welfare (Continued) LEGAL SERVICES CORPORATION RESTRICTION ON SOLICITATION § 1638.2 Definitions. (a) In-person means a face-to-face encounter or a personal encounter via other...
Age and gender estimation using Region-SIFT and multi-layered SVM
NASA Astrophysics Data System (ADS)
Kim, Hyunduk; Lee, Sang-Heon; Sohn, Myoung-Kyu; Hwang, Byunghun
2018-04-01
In this paper, we propose an age and gender estimation framework using the region-SIFT feature and multi-layered SVM classifier. The suggested framework entails three processes. The first step is landmark based face alignment. The second step is the feature extraction step. In this step, we introduce the region-SIFT feature extraction method based on facial landmarks. First, we define sub-regions of the face. We then extract SIFT features from each sub-region. In order to reduce the dimensions of features we employ a Principal Component Analysis (PCA) and a Linear Discriminant Analysis (LDA). Finally, we classify age and gender using a multi-layered Support Vector Machines (SVM) for efficient classification. Rather than performing gender estimation and age estimation independently, the use of the multi-layered SVM can improve the classification rate by constructing a classifier that estimate the age according to gender. Moreover, we collect a dataset of face images, called by DGIST_C, from the internet. A performance evaluation of proposed method was performed with the FERET database, CACD database, and DGIST_C database. The experimental results demonstrate that the proposed approach classifies age and performs gender estimation very efficiently and accurately.
Face recognition: database acquisition, hybrid algorithms, and human studies
NASA Astrophysics Data System (ADS)
Gutta, Srinivas; Huang, Jeffrey R.; Singh, Dig; Wechsler, Harry
1997-02-01
One of the most important technologies absent in traditional and emerging frontiers of computing is the management of visual information. Faces are accessible `windows' into the mechanisms that govern our emotional and social lives. The corresponding face recognition tasks considered herein include: (1) Surveillance, (2) CBIR, and (3) CBIR subject to correct ID (`match') displaying specific facial landmarks such as wearing glasses. We developed robust matching (`classification') and retrieval schemes based on hybrid classifiers and showed their feasibility using the FERET database. The hybrid classifier architecture consist of an ensemble of connectionist networks--radial basis functions-- and decision trees. The specific characteristics of our hybrid architecture include (a) query by consensus as provided by ensembles of networks for coping with the inherent variability of the image formation and data acquisition process, and (b) flexible and adaptive thresholds as opposed to ad hoc and hard thresholds. Experimental results, proving the feasibility of our approach, yield (i) 96% accuracy, using cross validation (CV), for surveillance on a data base consisting of 904 images (ii) 97% accuracy for CBIR tasks, on a database of 1084 images, and (iii) 93% accuracy, using CV, for CBIR subject to correct ID match tasks on a data base of 200 images.
Visual cryptography for face privacy
NASA Astrophysics Data System (ADS)
Ross, Arun; Othman, Asem A.
2010-04-01
We discuss the problem of preserving the privacy of a digital face image stored in a central database. In the proposed scheme, a private face image is dithered into two host face images such that it can be revealed only when both host images are simultaneously available; at the same time, the individual host images do not reveal the identity of the original image. In order to accomplish this, we appeal to the field of Visual Cryptography. Experimental results confirm the following: (a) the possibility of hiding a private face image in two unrelated host face images; (b) the successful matching of face images that are reconstructed by superimposing the host images; and (c) the inability of the host images, known as sheets, to reveal the identity of the secret face image.
Zamanzadeh, Vahid; Valizadeh, Leila; Negarandeh, Reza; Monadi, Morteza; Azadi, Arman
2013-01-01
Context: Men entering the nursing profession have been investigated from several different perspectives. Due to male gender characteristics and existing public image, nursing is often not considered as a career choice by men. Whether nursing would benefit from increased number of men is a key question in the literature. The purpose of this integrative review of the literature was to identify factors influencing men to enter the nursing profession. In addition, it sought to understand the challenges they are confronted within this profession. Evidence Acquisition: A systematic search of the existing literature was performed using an Internet search with broad keywords to access related articles in both Persian and English databases. Finally, 34 studies (written between 2000 and early 2013) were selected and surveyed. Results: Most of the studies were conducted in developed counties. The review identified reasons why males choose nursing, and other challenges facing men entering and working in nursing. Themes that emerged from the literature include educational and societal barriers experienced by men in nursing, recruitment, career choice, and role strain. Conclusions: Regarding men’s influences on professional development, and also the importance of gender-based caring, policies for recruitment and retention of men in nursing must be followed hastily. However, there is a need for further research regarding the challenges faced by men entering nursing, in both Iran and other developing countries. PMID:25414879
NASA Astrophysics Data System (ADS)
Gaudio, P.; Malizia, A.; Gelfusa, M.; Murari, A.; Parracino, S.; Poggi, L. A.; Lungaroni, M.; Ciparisse, J. F.; Di Giovanni, D.; Cenciarelli, O.; Carestia, M.; Peluso, E.; Gabbarini, V.; Talebzadeh, S.; Bellecci, C.
2017-01-01
Nowadays the intentional diffusion in air (both in open and confined environments) of chemical contaminants is a dramatic source of risk for the public health worldwide. The needs of a high-tech networks composed by software, diagnostics, decision support systems and cyber security tools are urging all the stakeholders (military, public, research & academic entities) to create innovative solutions to face this problem and improve both safety and security. The Quantum Electronics and Plasma Physics (QEP) Research Group of the University of Rome Tor Vergata is working since the 1960s on the development of laser-based technologies for the stand-off detection of contaminants in the air. Up to now, four demonstrators have been developed (two LIDAR-based and two DIAL-based) and have been used in experimental campaigns during all 2015. These systems and technologies can be used together to create an innovative solution to the problem of public safety and security: the creation of a network composed by detection systems: A low cost LIDAR based system has been tested in an urban area to detect pollutants coming from urban traffic, in this paper the authors show the results obtained in the city of Crotone (south of Italy). This system can be used as a first alarm and can be coupled with an identification system to investigate the nature of the threat. A laboratory dial based system has been used in order to create a database of absorption spectra of chemical substances that could be release in atmosphere, these spectra can be considered as the fingerprints of the substances that have to be identified. In order to create the database absorption measurements in cell, at different conditions, are in progress and the first results are presented in this paper.
Madsen, Heidi Holst; Madsen, Dicte; Gauffriau, Marianne
2016-01-01
Unique identifiers (UID) are seen as an effective key to match identical publications across databases or identify duplicates in a database. The objective of the present study is to investigate how well UIDs work as match keys in the integration between Pure and SciVal, based on a case with publications from the health sciences. We evaluate the matching process based on information about coverage, precision, and characteristics of publications matched versus not matched with UIDs as the match keys. We analyze this information to detect errors, if any, in the matching process. As an example we also briefly discuss how publication sets formed by using UIDs as the match keys may affect the bibliometric indicators number of publications, number of citations, and the average number of citations per publication. The objective is addressed in a literature review and a case study. The literature review shows that only a few studies evaluate how well UIDs work as a match key. From the literature we identify four error types: Duplicate digital object identifiers (DOI), incorrect DOIs in reference lists and databases, DOIs not registered by the database where a bibliometric analysis is performed, and erroneous optical or special character recognition. The case study explores the use of UIDs in the integration between the databases Pure and SciVal. Specifically journal publications in English are matched between the two databases. We find all error types except erroneous optical or special character recognition in our publication sets. In particular the duplicate DOIs constitute a problem for the calculation of bibliometric indicators as both keeping the duplicates to improve the reliability of citation counts and deleting them to improve the reliability of publication counts will distort the calculation of average number of citations per publication. The use of UIDs as a match key in citation linking is implemented in many settings, and the availability of UIDs may become critical for the inclusion of a publication or a database in a bibliometric analysis.
Madsen, Heidi Holst; Madsen, Dicte; Gauffriau, Marianne
2016-01-01
Unique identifiers (UID) are seen as an effective key to match identical publications across databases or identify duplicates in a database. The objective of the present study is to investigate how well UIDs work as match keys in the integration between Pure and SciVal, based on a case with publications from the health sciences. We evaluate the matching process based on information about coverage, precision, and characteristics of publications matched versus not matched with UIDs as the match keys. We analyze this information to detect errors, if any, in the matching process. As an example we also briefly discuss how publication sets formed by using UIDs as the match keys may affect the bibliometric indicators number of publications, number of citations, and the average number of citations per publication. The objective is addressed in a literature review and a case study. The literature review shows that only a few studies evaluate how well UIDs work as a match key. From the literature we identify four error types: Duplicate digital object identifiers (DOI), incorrect DOIs in reference lists and databases, DOIs not registered by the database where a bibliometric analysis is performed, and erroneous optical or special character recognition. The case study explores the use of UIDs in the integration between the databases Pure and SciVal. Specifically journal publications in English are matched between the two databases. We find all error types except erroneous optical or special character recognition in our publication sets. In particular the duplicate DOIs constitute a problem for the calculation of bibliometric indicators as both keeping the duplicates to improve the reliability of citation counts and deleting them to improve the reliability of publication counts will distort the calculation of average number of citations per publication. The use of UIDs as a match key in citation linking is implemented in many settings, and the availability of UIDs may become critical for the inclusion of a publication or a database in a bibliometric analysis. PMID:27635223
16 CFR § 1102.26 - Determination of materially inaccurate information.
Code of Federal Regulations, 2013 CFR
2013-01-01
... PRODUCT SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural... reviewing a report of harm or manufacturer comment, either before or after publication in the Database, may... manufacturer comment, be excluded from the Database or corrected by the Commission because it contains...
USDA Branded Food Products Database, Release 2
USDA-ARS?s Scientific Manuscript database
The USDA Branded Food Products Database is the ongoing result of a Public-Private Partnership (PPP), whose goal is to enhance public health and the sharing of open data by complementing the USDA National Nutrient Database for Standard Reference (SR) with nutrient composition of branded foods and pri...
Wavelet filtered shifted phase-encoded joint transform correlation for face recognition
NASA Astrophysics Data System (ADS)
Moniruzzaman, Md.; Alam, Mohammad S.
2017-05-01
A new wavelet-filtered-based Shifted- phase-encoded Joint Transform Correlation (WPJTC) technique has been proposed for efficient face recognition. The proposed technique uses discrete wavelet decomposition for preprocessing and can effectively accommodate various 3D facial distortions, effects of noise, and illumination variations. After analyzing different forms of wavelet basis functions, an optimal method has been proposed by considering the discrimination capability and processing speed as performance trade-offs. The proposed technique yields better correlation discrimination compared to alternate pattern recognition techniques such as phase-shifted phase-encoded fringe-adjusted joint transform correlator. The performance of the proposed WPJTC has been tested using the Yale facial database and extended Yale facial database under different environments such as illumination variation, noise, and 3D changes in facial expressions. Test results show that the proposed WPJTC yields better performance compared to alternate JTC based face recognition techniques.
Yu, Jiang; Appel, Phil; Rogers, Meighan; Blank, Susan; Davis, Carrie; Warren, Barbara; Freeman, Anthony; Harris, Brett; Hussain, Shazia
2016-01-01
This article reports the integration and outcomes of implementing intervention services for substance use disorder (SUD) in three New York City public sexually transmitted disease (STD) clinics. The screening, brief intervention, and referral to treatment (SBIRT) service model was implemented in the STD clinics in 2008. A relational database was developed, which included screening results, service dispositions, face-to-face interviews with 6-month follow-ups, and treatment information. From February 2008 to the end of September 2012, 146,657 STD clinic patients 18 years or older were screened for current or past substance use disorders; 15,687 received a brief intervention; 954 received referrals to formal substance abuse treatment; 2082 were referred to substance abuse support services such as Alcoholics Anonymous (AA), and 690 were referred to mental health, social or HIV awareness services. Intervention services delivered through SBIRT resulted in improvements in multiple outcomes at 6 month follow-up. Patients who received interventions had reduced SUD risks, fewer mental health problems, and fewer unprotected sexual contacts. Delivery of SUD services in a public health setting represents a significant policy and practice change and benefits many individuals whose SUDs might otherwise be overlooked. Intervention services for substance use disorder were integrated and highly utilized in the STD setting. Further research needs to focus on the long-term impact of SUD interventions in the STD setting, their cost effectiveness, and the extent they are financially sustainable under the new healthcare law.
Turn and Face the Strain: Age Demographic Change and the near Future of American Education
ERIC Educational Resources Information Center
Ladner, Matthew
2015-01-01
"Turn and Face the Strain: Age Demographic Change and the Near Future of American Education" outlines a fierce battle looming between the needs of public health care and education. A crisis is fast approaching that makes comprehensive improvement of America's public schools more important than ever. Faced with rapidly expanding…
Challenges Faced by Undergraduate Military Students at American Public University System
ERIC Educational Resources Information Center
Machuca, Ana; Torres, Karin; Morris, Pamela; Whitley, William
2014-01-01
This paper will summarize some of challenges faced by military students enrolled in an associate and bachelors online program at American Public University System (APUS). The survey results on which the study is based exposed the following problems faced by military personnel: 48.7% had difficulties working around military obligations, 33.3%…
Machado, Helena; Silva, Susana
2015-01-01
The ethical aspects of biobanks and forensic DNA databases are often treated as separate issues. As a reflection of this, public participation, or the involvement of citizens in genetic databases, has been approached differently in the fields of forensics and medicine. This paper aims to cross the boundaries between medicine and forensics by exploring the flows between the ethical issues presented in the two domains and the subsequent conceptualisation of public trust and legitimisation. We propose to introduce the concept of ‘solidarity’, traditionally applied only to medical and research biobanks, into a consideration of public engagement in medicine and forensics. Inclusion of a solidarity-based framework, in both medical biobanks and forensic DNA databases, raises new questions that should be included in the ethical debate, in relation to both health services/medical research and activities associated with the criminal justice system. PMID:26139851
Performance analysis of different database in new internet mapping system
NASA Astrophysics Data System (ADS)
Yao, Xing; Su, Wei; Gao, Shuai
2017-03-01
In the Mapping System of New Internet, Massive mapping entries between AID and RID need to be stored, added, updated, and deleted. In order to better deal with the problem when facing a large number of mapping entries update and query request, the Mapping System of New Internet must use high-performance database. In this paper, we focus on the performance of Redis, SQLite, and MySQL these three typical databases, and the results show that the Mapping System based on different databases can adapt to different needs according to the actual situation.
Face Hallucination with Linear Regression Model in Semi-Orthogonal Multilinear PCA Method
NASA Astrophysics Data System (ADS)
Asavaskulkiet, Krissada
2018-04-01
In this paper, we propose a new face hallucination technique, face images reconstruction in HSV color space with a semi-orthogonal multilinear principal component analysis method. This novel hallucination technique can perform directly from tensors via tensor-to-vector projection by imposing the orthogonality constraint in only one mode. In our experiments, we use facial images from FERET database to test our hallucination approach which is demonstrated by extensive experiments with high-quality hallucinated color faces. The experimental results assure clearly demonstrated that we can generate photorealistic color face images by using the SO-MPCA subspace with a linear regression model.
Second-Tier Database for Ecosystem Focus, 2002-2003 Annual Report.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Van Holmes, Chris; Muongchanh, Christine; Anderson, James J.
2003-11-01
The Second-Tier Database for Ecosystem Focus (Contract 00004124) provides direct and timely public access to Columbia Basin environmental, operational, fishery and riverine data resources for federal, state, public and private entities. The Second-Tier Database known as Data Access in Realtime (DART) integrates public data for effective access, consideration and application. DART also provides analysis tools and performance measures helpful in evaluating the condition of Columbia Basin salmonid stocks.
Chen, Yu-Chun; Wu, Jau-Ching; Haschler, Ingo; Majeed, Azeem; Chen, Tzeng-Ji; Wetter, Thomas
2011-01-01
Studies that use electronic health databases as research material are getting popular but the influence of a single electronic health database had not been well investigated yet. The United Kingdom's General Practice Research Database (GPRD) is one of the few electronic health databases publicly available to academic researchers. This study analyzed studies that used GPRD to demonstrate the scientific production and academic impact by a single public health database. A total of 749 studies published between 1995 and 2009 with 'General Practice Research Database' as their topics, defined as GPRD studies, were extracted from Web of Science. By the end of 2009, the GPRD had attracted 1251 authors from 22 countries and been used extensively in 749 studies published in 193 journals across 58 study fields. Each GPRD study was cited 2.7 times by successive studies. Moreover, the total number of GPRD studies increased rapidly, and it is expected to reach 1500 by 2015, twice the number accumulated till the end of 2009. Since 17 of the most prolific authors (1.4% of all authors) contributed nearly half (47.9%) of GPRD studies, success in conducting GPRD studies may accumulate. The GPRD was used mainly in, but not limited to, the three study fields of "Pharmacology and Pharmacy", "General and Internal Medicine", and "Public, Environmental and Occupational Health". The UK and United States were the two most active regions of GPRD studies. One-third of GRPD studies were internationally co-authored. A public electronic health database such as the GPRD will promote scientific production in many ways. Data owners of electronic health databases at a national level should consider how to reduce access barriers and to make data more available for research.
Online Survey Design and Development: A Janus-Faced Approach
ERIC Educational Resources Information Center
Lauer, Claire; McLeod, Michael; Blythe, Stuart
2013-01-01
In this article we propose a "Janus-faced" approach to survey design--an approach that encourages researchers to consider how they can design and implement surveys more effectively using the latest web and database tools. Specifically, this approach encourages researchers to look two ways at once; attending to both the survey interface…
ERIC Educational Resources Information Center
Bodily, Robert; Verbert, Katrien
2017-01-01
This article is a comprehensive literature review of student-facing learning analytics reporting systems that track learning analytics data and report it directly to students. This literature review builds on four previously conducted literature reviews in similar domains. Out of the 945 articles retrieved from databases and journals, 93 articles…
48 CFR 504.602-71 - Federal Procurement Data System-Public access to data.
Code of Federal Regulations, 2010 CFR
2010-10-01
... Procurement Data System—Public access to data. (a) The FPDS database. The General Services Administration awarded a contract for creation and operation of the Federal Procurement Data System (FPDS) database. That database includes information reported by departments and agencies as required by Federal Acquisition...
16 CFR 1102.26 - Determination of materially inaccurate information.
Code of Federal Regulations, 2011 CFR
2011-01-01
... SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan. 10... publication in the Database, may request that the report of harm or manufacturer comment, or portions of such report of harm or manufacturer comment, be excluded from the Database or corrected by the Commission...
48 CFR 504.602-71 - Federal Procurement Data System-Public access to data.
Code of Federal Regulations, 2011 CFR
2011-10-01
... Procurement Data System—Public access to data. (a) The FPDS database. The General Services Administration awarded a contract for creation and operation of the Federal Procurement Data System (FPDS) database. That database includes information reported by departments and agencies as required by Federal Acquisition...
Influencing Database Use in Public Libraries.
ERIC Educational Resources Information Center
Tenopir, Carol
1999-01-01
Discusses results of a survey of factors influencing database use in public libraries. Highlights the importance of content; ease of use; and importance of instruction. Tabulates importance indications for number and location of workstations, library hours, availability of remote login, usefulness and quality of content, lack of other databases,…
[Scientific Evidence on Preventive Interventions in Childhood Obesity].
Alba-Martín, Raquel
The increasing prevalence of obesity or overweight at all ages, their associated morbidity and mortality associated, and the increased perception of the problem by the society have generated several hypotheses in response to the scientific and the international community. Investigate the preventive interventions in childhood obesity so far. Integrative review during the study period from April 2013 to November 2014. The MEDLINE international database was used, including PubMed, the Cochrane Library (Issue 4 2002), the national database Isooc (CSIC) national database, as well as the Internet. The review included health articles published in Spanish and English between 1990 and 2014 that focused on or included education, prevention, diagnostic, and treatment of obesity interventions. Of the 726 articles identified, 34 of most relevant (peer reviewed) were selected. It was noted that there is limited generisable evidence on interventions that could be implemented in Primary Care or referral services available, although numerous studies suggest that improvements in the overweight are possible. Despite the abundant literature and that many institutions place childhood obesity as one of the priorities of Public Health, we face the paradox that the evidence on cost-effectiveness of prevention interventions is sparse. Knowing these gaps in knowledge should lead to filling them with rigorous and well-designed studies. Copyright © 2016 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.
Evolutionary concepts in biobanking - the BC BioLibrary
2009-01-01
Background Medical research to improve health care faces a major problem in the relatively limited availability of adequately annotated and collected biospecimens. This limitation is creating a growing gap between the pace of scientific advances and successful exploitation of this knowledge. Biobanks are an important conduit for transfer of biospecimens (tissues, blood, body fluids) and related health data to research. They have evolved outside of the historical source of tissue biospecimens, clinical pathology archives. Research biobanks have developed advanced standards, protocols, databases, and mechanisms to interface with researchers seeking biospecimens. However, biobanks are often limited in their capacity and ability to ensure quality in the face of increasing demand. Our strategy to enhance both capacity and quality in research biobanking is to create a new framework that repatriates the activity of biospecimen accrual for biobanks to clinical pathology. Methods The British Columbia (BC) BioLibrary is a framework to maximize the accrual of high-quality, annotated biospecimens into biobanks. The BC BioLibrary design primarily encompasses: 1) specialized biospecimen collection units embedded within clinical pathology and linked to a biospecimen distribution system that serves biobanks; 2) a systematic process to connect potential donors with biobanks, and to connect biobanks with consented biospecimens; and 3) interdisciplinary governance and oversight informed by public opinion. Results The BC BioLibrary has been embraced by biobanking leaders and translational researchers throughout BC, across multiple health authorities, institutions, and disciplines. An initial pilot network of three Biospecimen Collection Units has been successfully established. In addition, two public deliberation events have been held to obtain input from the public on the BioLibrary and on issues including consent, collection of biospecimens and governance. Conclusion The BC BioLibrary framework addresses common issues for clinical pathology, biobanking, and translational research across multiple institutions and clinical and research domains. We anticipate that our framework will lead to enhanced biospecimen accrual capacity and quality, reduced competition between biobanks, and a transparent process for donors that enhances public trust in biobanking. PMID:19909513
. Northern Command Speakers Program The U.S. Northern Command Speaker's Program works to increase face-to -face contact with our public to help build and sustain public understanding of our command missions and
On-Line Database of Vibration-Based Damage Detection Experiments
NASA Technical Reports Server (NTRS)
Pappa, Richard S.; Doebling, Scott W.; Kholwad, Tina D.
2000-01-01
This paper describes a new, on-line bibliographic database of vibration-based damage detection experiments. Publications in the database discuss experiments conducted on actual structures as well as those conducted with simulated data. The database can be searched and sorted in many ways, and it provides photographs of test structures when available. It currently contains 100 publications, which is estimated to be about 5-10% of the number of papers written to date on this subject. Additional entries are forthcoming. This database is available for public use on the Internet at the following address: http://sdbpappa-mac.larc.nasa.gov. Click on the link named "dd_experiments.fp3" and then type "guest" as the password. No user name is required.
Novel dynamic Bayesian networks for facial action element recognition and understanding
NASA Astrophysics Data System (ADS)
Zhao, Wei; Park, Jeong-Seon; Choi, Dong-You; Lee, Sang-Woong
2011-12-01
In daily life, language is an important tool of communication between people. Besides language, facial action can also provide a great amount of information. Therefore, facial action recognition has become a popular research topic in the field of human-computer interaction (HCI). However, facial action recognition is quite a challenging task due to its complexity. In a literal sense, there are thousands of facial muscular movements, many of which have very subtle differences. Moreover, muscular movements always occur simultaneously when the pose is changed. To address this problem, we first build a fully automatic facial points detection system based on a local Gabor filter bank and principal component analysis. Then, novel dynamic Bayesian networks are proposed to perform facial action recognition using the junction tree algorithm over a limited number of feature points. In order to evaluate the proposed method, we have used the Korean face database for model training. For testing, we used the CUbiC FacePix, facial expressions and emotion database, Japanese female facial expression database, and our own database. Our experimental results clearly demonstrate the feasibility of the proposed approach.
GenderMedDB: an interactive database of sex and gender-specific medical literature.
Oertelt-Prigione, Sabine; Gohlke, Björn-Oliver; Dunkel, Mathias; Preissner, Robert; Regitz-Zagrosek, Vera
2014-01-01
Searches for sex and gender-specific publications are complicated by the absence of a specific algorithm within search engines and by the lack of adequate archives to collect the retrieved results. We previously addressed this issue by initiating the first systematic archive of medical literature containing sex and/or gender-specific analyses. This initial collection has now been greatly enlarged and re-organized as a free user-friendly database with multiple functions: GenderMedDB (http://gendermeddb.charite.de). GenderMedDB retrieves the included publications from the PubMed database. Manuscripts containing sex and/or gender-specific analysis are continuously screened and the relevant findings organized systematically into disciplines and diseases. Publications are furthermore classified by research type, subject and participant numbers. More than 11,000 abstracts are currently included in the database, after screening more than 40,000 publications. The main functions of the database include searches by publication data or content analysis based on pre-defined classifications. In addition, registrants are enabled to upload relevant publications, access descriptive publication statistics and interact in an open user forum. Overall, GenderMedDB offers the advantages of a discipline-specific search engine as well as the functions of a participative tool for the gender medicine community.
16 CFR 1102.16 - Additional information.
Code of Federal Regulations, 2012 CFR
2012-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.16 Additional... in the Database any additional information it determines to be in the public interest, consistent...
16 CFR 1102.16 - Additional information.
Code of Federal Regulations, 2014 CFR
2014-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.16 Additional... in the Database any additional information it determines to be in the public interest, consistent...
ERIC Educational Resources Information Center
Ladner, Matthew
2015-01-01
"Turn and Face the Strain: Age Demographic Change and the Near Future of American Education" outlines a fierce battle looming between the needs of public health care and education. A crisis is fast approaching that makes comprehensive improvement of America's public schools more important than ever. Faced with rapidly expanding…
Western Region: A Report Identifying and Addressing the Educational Needs
ERIC Educational Resources Information Center
US Department of Education, 2011
2011-01-01
During a four-week period (May 23, 2011-June 21, 2011), the Western Regional Advisory Committee (RAC) held a series of public meetings to solicit input and deliberate on key educational needs facing the four states in the region--Arizona, California, Nevada, and Utah. A two-day, face-to-face, public meeting was held May 23-24, 2011 in Arlington,…
The Public-Service Tax Credit: A Proposed Solution to the Problems of Off-Air Videotaping.
ERIC Educational Resources Information Center
Troost, F. William
1982-01-01
Proposes a public-service tax credit that would allow copyright owners of any television program broadcast on the public airwaves to claim a limited tax credit in exchange for school rights to copy programs and retain them indefinitely for face-to-face, nonprofit, instructional purposes. (Author/MLF)
Pose-Invariant Face Recognition via RGB-D Images.
Sang, Gaoli; Li, Jing; Zhao, Qijun
2016-01-01
Three-dimensional (3D) face models can intrinsically handle large pose face recognition problem. In this paper, we propose a novel pose-invariant face recognition method via RGB-D images. By employing depth, our method is able to handle self-occlusion and deformation, both of which are challenging problems in two-dimensional (2D) face recognition. Texture images in the gallery can be rendered to the same view as the probe via depth. Meanwhile, depth is also used for similarity measure via frontalization and symmetric filling. Finally, both texture and depth contribute to the final identity estimation. Experiments on Bosphorus, CurtinFaces, Eurecom, and Kiwi databases demonstrate that the additional depth information has improved the performance of face recognition with large pose variations and under even more challenging conditions.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-27
... DEPARTMENT OF STATE [Public Notice 8441] Culturally Significant Objects Imported for Exhibition Determinations: ``Face to Face: Flanders, Florence, and Renaissance Painting'' Exhibition SUMMARY: Notice is... objects to be included in the exhibition ``Face to Face: Flanders, Florence, and Renaissance Painting...
16 CFR § 1102.30 - Publication of manufacturer comments.
Code of Federal Regulations, 2013 CFR
2013-01-01
... SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Procedural....26, the Commission will publish in the Database manufacturer comments submitted in response to a...
Becoming a Lunari or Taiyo expert: learned attention to parts drives holistic processing of faces.
Chua, Kao-Wei; Richler, Jennifer J; Gauthier, Isabel
2014-06-01
Faces are processed holistically, but the locus of holistic processing remains unclear. We created two novel races of faces (Lunaris and Taiyos) to study how experience with face parts influences holistic processing. In Experiment 1, subjects individuated Lunaris wherein the top, bottom, or both face halves contained diagnostic information. Subjects who learned to attend to face parts exhibited no holistic processing. This suggests that individuation only leads to holistic processing when the whole face is attended. In Experiment 2, subjects individuated both Lunaris and Taiyos, with diagnostic information in complementary face halves of the two races. Holistic processing was measured with composites made of either diagnostic or nondiagnostic face parts. Holistic processing was only observed for composites made from diagnostic face parts, demonstrating that holistic processing can occur for diagnostic face parts that were never seen together. These results suggest that holistic processing is an expression of learned attention to diagnostic face parts. PsycINFO Database Record (c) 2014 APA, all rights reserved.
Rhodes, Gillian; Jeffery, Linda; Taylor, Libby; Hayward, William G; Ewing, Louise
2014-06-01
Despite their similarity as visual patterns, we can discriminate and recognize many thousands of faces. This expertise has been linked to 2 coding mechanisms: holistic integration of information across the face and adaptive coding of face identity using norms tuned by experience. Recently, individual differences in face recognition ability have been discovered and linked to differences in holistic coding. Here we show that they are also linked to individual differences in adaptive coding of face identity, measured using face identity aftereffects. Identity aftereffects correlated significantly with several measures of face-selective recognition ability. They also correlated marginally with own-race face recognition ability, suggesting a role for adaptive coding in the well-known other-race effect. More generally, these results highlight the important functional role of adaptive face-coding mechanisms in face expertise, taking us beyond the traditional focus on holistic coding mechanisms. PsycINFO Database Record (c) 2014 APA, all rights reserved.
The Latin American Social Medicine database
Eldredge, Jonathan D; Waitzkin, Howard; Buchanan, Holly S; Teal, Janis; Iriart, Celia; Wiley, Kevin; Tregear, Jonathan
2004-01-01
Background Public health practitioners and researchers for many years have been attempting to understand more clearly the links between social conditions and the health of populations. Until recently, most public health professionals in English-speaking countries were unaware that their colleagues in Latin America had developed an entire field of inquiry and practice devoted to making these links more clearly understood. The Latin American Social Medicine (LASM) database finally bridges this previous gap. Description This public health informatics case study describes the key features of a unique information resource intended to improve access to LASM literature and to augment understanding about the social determinants of health. This case study includes both quantitative and qualitative evaluation data. Currently the LASM database at The University of New Mexico brings important information, originally known mostly within professional networks located in Latin American countries to public health professionals worldwide via the Internet. The LASM database uses Spanish, Portuguese, and English language trilingual, structured abstracts to summarize classic and contemporary works. Conclusion This database provides helpful information for public health professionals on the social determinants of health and expands access to LASM. PMID:15627401
Powell, Kimberly R; Peterson, Shenita R
Web of Science and Scopus are the leading databases of scholarly impact. Recent studies outside the field of nursing report differences in journal coverage and quality. A comparative analysis of nursing publications reported impact. Journal coverage by each database for the field of nursing was compared. Additionally, publications by 2014 nursing faculty were collected in both databases and compared for overall coverage and reported quality, as modeled by Scimajo Journal Rank, peer review status, and MEDLINE inclusion. Individual author impact, modeled by the h-index, was calculated by each database for comparison. Scopus offered significantly higher journal coverage. For 2014 faculty publications, 100% of journals were found in Scopus, Web of Science offered 82%. No significant difference was found in the quality of reported journals. Author h-index was found to be higher in Scopus. When reporting faculty publications and scholarly impact, academic nursing programs may be better represented by Scopus, without compromising journal quality. Programs with strong interdisciplinary work should examine all areas of strength to ensure appropriate coverage. Copyright © 2017 Elsevier Inc. All rights reserved.
Social media based NPL system to find and retrieve ARM data: Concept paper
DOE Office of Scientific and Technical Information (OSTI.GOV)
Devarakonda, Ranjeet; Giansiracusa, Michael T.; Kumar, Jitendra
Information connectivity and retrieval has a role in our daily lives. The most pervasive source of online information is databases. The amount of data is growing at rapid rate and database technology is improving and having a profound effect. Almost all online applications are storing and retrieving information from databases. One challenge in supplying the public with wider access to informational databases is the need for knowledge of database languages like Structured Query Language (SQL). Although the SQL language has been published in many forms, not everybody is able to write SQL queries. Another challenge is that it may notmore » be practical to make the public aware of the structure of the database. There is a need for novice users to query relational databases using their natural language. To solve this problem, many natural language interfaces to structured databases have been developed. The goal is to provide more intuitive method for generating database queries and delivering responses. Social media makes it possible to interact with a wide section of the population. Through this medium, and with the help of Natural Language Processing (NLP) we can make the data of the Atmospheric Radiation Measurement Data Center (ADC) more accessible to the public. We propose an architecture for using Apache Lucene/Solr [1], OpenML [2,3], and Kafka [4] to generate an automated query/response system with inputs from Twitter5, our Cassandra DB, and our log database. Using the Twitter API and NLP we can give the public the ability to ask questions of our database and get automated responses.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Devarakonda, Ranjeet; Giansiracusa, Michael T.; Kumar, Jitendra
Information connectivity and retrieval has a role in our daily lives. The most pervasive source of online information is databases. The amount of data is growing at rapid rate and database technology is improving and having a profound effect. Almost all online applications are storing and retrieving information from databases. One challenge in supplying the public with wider access to informational databases is the need for knowledge of database languages like Structured Query Language (SQL). Although the SQL language has been published in many forms, not everybody is able to write SQL queries. Another challenge is that it may notmore » be practical to make the public aware of the structure of the database. There is a need for novice users to query relational databases using their natural language. To solve this problem, many natural language interfaces to structured databases have been developed. The goal is to provide more intuitive method for generating database queries and delivering responses. Social media makes it possible to interact with a wide section of the population. Through this medium, and with the help of Natural Language Processing (NLP) we can make the data of the Atmospheric Radiation Measurement Data Center (ADC) more accessible to the public. We propose an architecture for using Apache Lucene/Solr [1], OpenML [2,3], and Kafka [4] to generate an automated query/response system with inputs from Twitter5, our Cassandra DB, and our log database. Using the Twitter API and NLP we can give the public the ability to ask questions of our database and get automated responses.« less
Publishing Your Database on CD-ROM for Profit: The FISHLIT and NISC Experience.
ERIC Educational Resources Information Center
Crampton, Margaret
1995-01-01
Details the development of the FISHLIT bibliographic database at the JLB Smith Institute of Ichthyology Library at Rhodes University (South Africa), and the subsequent CD-ROM publication of the database by NISC (National Information Services Corporation). Discusses the advantages of CD-ROM publication, costs and information service provision,…
A Public-Use, Full-Screen Interface for SPIRES Databases.
ERIC Educational Resources Information Center
Kriz, Harry M.
This paper describes the techniques for implementing a full-screen, custom SPIRES interface for a public-use library database. The database-independent protocol that controls the system is described in detail. Source code for an entire working application using this interface is included. The protocol, with less than 170 lines of procedural code,…
48 CFR 504.605-70 - Federal Procurement Data System-Public access to data.
Code of Federal Regulations, 2012 CFR
2012-10-01
... Procurement Data System—Public access to data. (a) The FPDS database. The General Services Administration awarded a contract for creation and operation of the Federal Procurement Data System (FPDS) database. That database includes information reported by departments and agencies as required by FAR subpart 4.6. One of...
48 CFR 504.605-70 - Federal Procurement Data System-Public access to data.
Code of Federal Regulations, 2014 CFR
2014-10-01
... Procurement Data System—Public access to data. (a) The FPDS database. The General Services Administration awarded a contract for creation and operation of the Federal Procurement Data System (FPDS) database. That database includes information reported by departments and agencies as required by FAR subpart 4.6. One of...
48 CFR 504.605-70 - Federal Procurement Data System-Public access to data.
Code of Federal Regulations, 2013 CFR
2013-10-01
... Procurement Data System—Public access to data. (a) The FPDS database. The General Services Administration awarded a contract for creation and operation of the Federal Procurement Data System (FPDS) database. That database includes information reported by departments and agencies as required by FAR subpart 4.6. One of...
16 CFR § 1102.16 - Additional information.
Code of Federal Regulations, 2013 CFR
2013-01-01
... PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE Content Requirements § 1102.16 Additional... in the Database any additional information it determines to be in the public interest, consistent...
16 CFR 1102.30 - Publication of manufacturer comments.
Code of Federal Regulations, 2011 CFR
2011-01-01
... ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan. 10, 2011....24, and 1102.26, the Commission will publish in the Database manufacturer comments submitted in...
Face recognition using total margin-based adaptive fuzzy support vector machines.
Liu, Yi-Hung; Chen, Yen-Ting
2007-01-01
This paper presents a new classifier called total margin-based adaptive fuzzy support vector machines (TAF-SVM) that deals with several problems that may occur in support vector machines (SVMs) when applied to the face recognition. The proposed TAF-SVM not only solves the overfitting problem resulted from the outlier with the approach of fuzzification of the penalty, but also corrects the skew of the optimal separating hyperplane due to the very imbalanced data sets by using different cost algorithm. In addition, by introducing the total margin algorithm to replace the conventional soft margin algorithm, a lower generalization error bound can be obtained. Those three functions are embodied into the traditional SVM so that the TAF-SVM is proposed and reformulated in both linear and nonlinear cases. By using two databases, the Chung Yuan Christian University (CYCU) multiview and the facial recognition technology (FERET) face databases, and using the kernel Fisher's discriminant analysis (KFDA) algorithm to extract discriminating face features, experimental results show that the proposed TAF-SVM is superior to SVM in terms of the face-recognition accuracy. The results also indicate that the proposed TAF-SVM can achieve smaller error variances than SVM over a number of tests such that better recognition stability can be obtained.
Chinese journals: a guide for epidemiologists
Fung, Isaac CH
2008-01-01
Chinese journals in epidemiology, preventive medicine and public health contain much that is of potential international interest. However, few non-Chinese speakers are acquainted with this literature. This article therefore provides an overview of the contemporary scene in Chinese biomedical journal publication, Chinese bibliographic databases and Chinese journals in epidemiology, preventive medicine and public health. The challenge of switching to English as the medium of publication, the development of publishing bibliometric data from Chinese databases, the prospect of an Open Access publication model in China, the issue of language bias in literature reviews and the quality of Chinese journals are discussed. Epidemiologists are encouraged to search the Chinese bibliographic databases for Chinese journal articles. PMID:18826604
ELSI Bibliography: Ethical legal and social implications of the Human Genome Project
DOE Office of Scientific and Technical Information (OSTI.GOV)
Yesley, M.S.
This second edition of the ELSI Bibliography provides a current and comprehensive resource for identifying publications on the major topics related to the ethical, legal and social issues (ELSI) of the Human Genome Project. Since the first edition of the ELSI Bibliography was printed last year, new publications and earlier ones identified by additional searching have doubled our computer database of ELSI publications to over 5600 entries. The second edition of the ELSI Bibliography reflects this growth of the underlying computer database. Researchers should note that an extensive collection of publications in the database is available for public use atmore » the General Law Library of Los Alamos National Laboratory (LANL).« less
NASA Astrophysics Data System (ADS)
Balbin, Jessie R.; Pinugu, Jasmine Nadja J.; Basco, Abigail Joy S.; Cabanada, Myla B.; Gonzales, Patrisha Melrose V.; Marasigan, Juan Carlos C.
2017-06-01
The research aims to build a tool in assessing patients for post-traumatic stress disorder or PTSD. The parameters used are heart rate, skin conductivity, and facial gestures. Facial gestures are recorded using OpenFace, an open-source face recognition program that uses facial action units in to track facial movements. Heart rate and skin conductivity is measured through sensors operated using Raspberry Pi. Results are stored in a database for easy and quick access. Databases to be used are uploaded to a cloud platform so that doctors have direct access to the data. This research aims to analyze these parameters and give accurate assessment of the patient.
NASA Astrophysics Data System (ADS)
Hsieh, Cheng-Ta; Huang, Kae-Horng; Lee, Chang-Hsing; Han, Chin-Chuan; Fan, Kuo-Chin
2017-12-01
Robust face recognition under illumination variations is an important and challenging task in a face recognition system, particularly for face recognition in the wild. In this paper, a face image preprocessing approach, called spatial adaptive shadow compensation (SASC), is proposed to eliminate shadows in the face image due to different lighting directions. First, spatial adaptive histogram equalization (SAHE), which uses face intensity prior model, is proposed to enhance the contrast of each local face region without generating visible noises in smooth face areas. Adaptive shadow compensation (ASC), which performs shadow compensation in each local image block, is then used to produce a wellcompensated face image appropriate for face feature extraction and recognition. Finally, null-space linear discriminant analysis (NLDA) is employed to extract discriminant features from SASC compensated images. Experiments performed on the Yale B, Yale B extended, and CMU PIE face databases have shown that the proposed SASC always yields the best face recognition accuracy. That is, SASC is more robust to face recognition under illumination variations than other shadow compensation approaches.
Meeting the Aims of Honors in the Online Environment
ERIC Educational Resources Information Center
Johnson, Melissa L.
2013-01-01
While little data-based research is available on the use of technology in the honors classroom, data on the nature of online honors courses are even rarer. In undergraduate education generally, enrollment in online courses has been increasing annually, outpacing enrollment in traditional, face-to-face environments. During fall 2011, more than 6.7…
Intelligent Virtual Assistant's Impact on Technical Proficiency within Virtual Teams
ERIC Educational Resources Information Center
Graham, Christian; Jones, Nory B.
2016-01-01
Information-systems development continues to be a difficult process, particularly for virtual teams that do not have the luxury of meeting face-to-face. The research literature on this topic reinforces this point: the greater part of database systems development projects ends in failure. The use of virtual teams to complete projects further…
Social Networking as a Platform for Role-Playing Scientific Case Studies
ERIC Educational Resources Information Center
Geyer, Andrea M.
2014-01-01
This work discusses the design and implementation of two online case studies in a face-to-face general chemistry course. The case studies were integrated into the course to emphasize the need for science literacy in general society, to enhance critical thinking, to introduce database searching, and to improve primary literature reading skills. An…
Comprehensive T-matrix Reference Database: A 2009-2011 Update
NASA Technical Reports Server (NTRS)
Zakharova, Nadezhda T.; Videen, G.; Khlebtsov, Nikolai G.
2012-01-01
The T-matrix method is one of the most versatile and efficient theoretical techniques widely used for the computation of electromagnetic scattering by single and composite particles, discrete random media, and particles in the vicinity of an interface separating two half-spaces with different refractive indices. This paper presents an update to the comprehensive database of peer-reviewed T-matrix publications compiled by us previously and includes the publications that appeared since 2009. It also lists several earlier publications not included in the original database.
Global Binary Continuity for Color Face Detection With Complex Background
NASA Astrophysics Data System (ADS)
Belavadi, Bhaskar; Mahendra Prashanth, K. V.; Joshi, Sujay S.; Suprathik, N.
2017-08-01
In this paper, we propose a method to detect human faces in color images, with complex background. The proposed algorithm makes use of basically two color space models, specifically HSV and YCgCr. The color segmented image is filled uniformly with a single color (binary) and then all unwanted discontinuous lines are removed to get the final image. Experimental results on Caltech database manifests that the purported model is able to accomplish far better segmentation for faces of varying orientations, skin color and background environment.
Effect of Internet-Based Learning in Public Health Training: An Exploratory Meta-Analysis
ERIC Educational Resources Information Center
Peng, Ying; Yan, Weirong
2017-01-01
Internet-based learning is increasingly applied in medical education, but its effect in the field of public health training is still unclear. This meta-analysis was undertaken to explore the impact of Internet-based learning on students'/professionals' knowledge of public health compared with no intervention and with traditional face-to-face (FTF)…
Public Opinion Poll Question Databases: An Evaluation
ERIC Educational Resources Information Center
Woods, Stephen
2007-01-01
This paper evaluates five polling resource: iPOLL, Polling the Nations, Gallup Brain, Public Opinion Poll Question Database, and Polls and Surveys. Content was evaluated on disclosure standards from major polling organizations, scope on a model for public opinion polls, and presentation on a flow chart discussing search limitations and usability.
ERIC Educational Resources Information Center
Brown, Cecelia
2003-01-01
Discusses the growth in use and acceptance of Web-based genomic and proteomic databases (GPD) in scholarly communication. Confirms the role of GPD in the scientific literature cycle, suggests GPD are a storage and retrieval mechanism for molecular biology information, and recommends that existing models of scientific communication be updated to…
Emerging Tools to Estimate and to Predict Exposures to ...
The timely assessment of the human and ecological risk posed by thousands of existing and emerging commercial chemicals is a critical challenge facing EPA in its mission to protect public health and the environment The US EPA has been conducting research to enhance methods used to estimate and forecast exposures for tens of thousands of chemicals. This research is aimed at both assessing risks and supporting life cycle analysis, by developing new models and tools for high throughput exposure screening and prioritization, as well as databases that support these and other tools, especially regarding consumer products. The models and data address usage, and take advantage of quantitative structural activity relationships (QSARs) for both inherent chemical properties and function (why the chemical is a product ingredient). To make them more useful and widely available, the new tools, data and models are designed to be: • Flexible • Intraoperative • Modular (useful to more than one, stand-alone application) • Open (publicly available software) Presented at the Society for Risk Analysis Forum: Risk Governance for Key Enabling Technologies, Venice, Italy, March 1-3, 2017
This database provides bibliographic citations and abstracts of publications produced by the CDC's National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) including journal articles, monographs, book chapters, reports, policy documents, and fact sheets. Full...
... Terms and Conditions Disclaimer ClinicalTrials.gov is a database of privately and publicly funded clinical studies conducted ... world. ClinicalTrials.gov is a registry and results database of publicly and privately supported clinical studies of ...
Ocean Drilling Program: Mirror Sites
Publication services and products Drilling services and tools Online Janus database Search the ODP/TAMU web information, see www.iodp-usio.org. ODP | Search | Database | Drilling | Publications | Science | Cruise Info
Ocean Drilling Program: TAMU Staff Directory
products Drilling services and tools Online Janus database Search the ODP/TAMU web site ODP's main web site Employment Opportunities ODP | Search | Database | Drilling | Publications | Science | Cruise Info | Public
VIEWCACHE: An incremental pointer-based access method for autonomous interoperable databases
NASA Technical Reports Server (NTRS)
Roussopoulos, N.; Sellis, Timos
1992-01-01
One of biggest problems facing NASA today is to provide scientists efficient access to a large number of distributed databases. Our pointer-based incremental database access method, VIEWCACHE, provides such an interface for accessing distributed data sets and directories. VIEWCACHE allows database browsing and search performing inter-database cross-referencing with no actual data movement between database sites. This organization and processing is especially suitable for managing Astrophysics databases which are physically distributed all over the world. Once the search is complete, the set of collected pointers pointing to the desired data are cached. VIEWCACHE includes spatial access methods for accessing image data sets, which provide much easier query formulation by referring directly to the image and very efficient search for objects contained within a two-dimensional window. We will develop and optimize a VIEWCACHE External Gateway Access to database management systems to facilitate distributed database search.
Pesälä, Samuli; Virtanen, Mikko J; Sane, Jussi; Mustonen, Pekka; Kaila, Minna; Helve, Otto
2017-11-06
People using the Internet to find information on health issues, such as specific diseases, usually start their search from a general search engine, for example, Google. Internet searches such as these may yield results and data of questionable quality and reliability. Health Library is a free-of-charge medical portal on the Internet providing medical information for the general public. Physician's Databases, an Internet evidence-based medicine source, provides medical information for health care professionals (HCPs) to support their clinical practice. Both databases are available throughout Finland, but the latter is used only by health professionals and pharmacies. Little is known about how the general public seeks medical information from medical sources on the Internet, how this behavior differs from HCPs' queries, and what causes possible differences in behavior. The aim of our study was to evaluate how the general public's and HCPs' information-seeking trends from Internet medical databases differ seasonally and temporally. In addition, we aimed to evaluate whether the general public's information-seeking trends could be utilized for disease surveillance and whether media coverage could affect these seeking trends. Lyme disease, serving as a well-defined disease model with distinct seasonal variation, was chosen as a case study. Two Internet medical databases, Health Library and Physician's Databases, were used. We compared the general public's article openings on Lyme disease from Health Library to HCPs' article openings on Lyme disease from Physician's Databases seasonally across Finland from 2011 to 2015. Additionally, media publications related to Lyme disease were searched from the largest and most popular media websites in Finland. Both databases, Health Library and Physician's Databases, show visually similar patterns in temporal variations of article openings on Lyme disease in Finland from 2011 to 2015. However, Health Library openings show not only an increasing trend over time but also greater fluctuations, especially during peak opening seasons. Outside these seasons, publications in the media coincide with Health Library article openings only occasionally. Lyme disease-related information-seeking behaviors between the general public and HCPs from Internet medical portals share similar temporal variations, which is consistent with the trend seen in epidemiological data. Therefore, the general public's article openings could be used as a supplementary source of information for disease surveillance. The fluctuations in article openings appeared stronger among the general public, thus, suggesting that different factors such as media coverage, affect the information-seeking behaviors of the public versus professionals. However, media coverage may also have an influence on HCPs. Not every publication was associated with an increase in openings, but the higher the media coverage by some publications, the higher the general public's access to Health Library. ©Samuli Pesälä, Mikko J Virtanen, Jussi Sane, Pekka Mustonen, Minna Kaila, Otto Helve. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 06.11.2017.
The cost of Latin American science Introduction for the second issue of CBP-Latin America.
Zenteno-Savín, Tania; Beleboni, René Oliveira; Hermes-Lima, Marcelo
2007-04-01
Latin American researchers in science and engineering (S&E), including those in biology and biomedical sciences, are frequently exposed to unstable conditions of financial support, material and human resources, and a limited number of positions at public and private institutions. Such uncertainties impose continuous challenges for the scientific community which, in the best of cases, responds with careful planning and creativity, and in the worst scenario endures the migration of scientists to the USA or Europe. Still, the number of scientific publications from Latin American institutions in the last decade increased at a much faster rate than publications from the USA and Canada. A brief analysis per country of the gross domestic product (GDP) spent in research and development (R&D) and the S&E production reported by the Pascal bibliographic database suggests that the number and quality of S&E publications is directly proportional to the financial support for R&D. However, the investment in R&D in Latin America did not increase at the same rate (from 0.49 to 0.55% of GDP, from 1990 to 2003) at which S&E publications did in the same period (2.9-fold increase, from 1988 to 2001). In Latin America, the traditional financial support for scientific research continues to be from federal and state government funds, associated in some cases with institutional funds that are mostly directed towards administrative costs and infrastructure maintenance. The aim of this introduction is to briefly discuss the production cost of articles published in refereed S&E journals, including the cost of the scientific research behind them, and, at the same time, to increase the awareness of the high quality of scientific research in Latin American institutions despite the many challenges, especially financial constraints, faced by their scientists. The second issue of Comparative Biochemistry and Physiology dedicated to Latin America ("The Face of Latin American Comparative Biochemistry and Physiology") celebrates, by means of 26 manuscripts from five countries, the diversity and quality of biological science in the continent.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-09-10
... Face-to-Face Service Methods Project Committee AGENCY: Internal Revenue Service (IRS), Treasury. ACTION: Notice of meeting. SUMMARY: An open meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will be conducted. The Taxpayer Advocacy Panel is soliciting public comments, ideas, and...
A Chronostratigraphic Relational Database Ontology
NASA Astrophysics Data System (ADS)
Platon, E.; Gary, A.; Sikora, P.
2005-12-01
A chronostratigraphic research database was donated by British Petroleum to the Stratigraphy Group at the Energy and Geoscience Institute (EGI), University of Utah. These data consists of over 2,000 measured sections representing over three decades of research into the application of the graphic correlation method. The data are global and includes both microfossil (foraminifera, calcareous nannoplankton, spores, pollen, dinoflagellate cysts, etc) and macrofossil data. The objective of the donation was to make the research data available to the public in order to encourage additional chronostratigraphy studies, specifically regarding graphic correlation. As part of the National Science Foundation's Cyberinfrastructure for the Geosciences (GEON) initiative these data have been made available to the public at http://css.egi.utah.edu. To encourage further research using the graphic correlation method, EGI has developed a software package, StrataPlot that will soon be publicly available from the GEON website as a standalone software download. The EGI chronostratigraphy research database, although relatively large, has many data holes relative to some paleontological disciplines and geographical areas, so the challenge becomes how do we expand the data available for chronostratigrahic studies using graphic correlation. There are several public or soon-to-be public databases available to chronostratigraphic research, but they have their own data structures and modes of presentation. The heterogeneous nature of these database schemas hinders their integration and makes it difficult for the user to retrieve and consolidate potentially valuable chronostratigraphic data. The integration of these data sources would facilitate rapid and comprehensive data searches, thus helping advance studies in chronostratigraphy. The GEON project will host a number of databases within the geology domain, some of which contain biostratigraphic data. Ontologies are being developed to provide an integrated query system for the searching across GEON's biostratigraphy databases, as well as databases available in the public domain. Although creating an ontology directly from the existing database metadata would have been effective and straightforward, our effort was directed towards creating a more efficient representation of our database, as well as a general representation of the biostratigraphic domain.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-03-13
... face-to-face public meeting will be held on Tuesday, April 10, 2012, from 8:30 a.m. to 5:30 p.m. (Eastern Time) and on Wednesday, April 11, 2012, from 8:30 a.m. to 12:30 p.m. (Eastern Time). The follow-up.... to 3 p.m. (Eastern Time). The quality review public teleconference of the Chartered CASAC will be...
NASA Astrophysics Data System (ADS)
Zhang, Yi-Qing; Cui, Jing; Zhang, Shu-Min; Zhang, Qi; Li, Xiang
2016-02-01
Modelling temporal networks of human face-to-face contacts is vital both for understanding the spread of airborne pathogens and word-of-mouth spreading of information. Although many efforts have been devoted to model these temporal networks, there are still two important social features, public activity and individual reachability, have been ignored in these models. Here we present a simple model that captures these two features and other typical properties of empirical face-to-face contact networks. The model describes agents which are characterized by an attractiveness to slow down the motion of nearby people, have event-triggered active probability and perform an activity-dependent biased random walk in a square box with periodic boundary. The model quantitatively reproduces two empirical temporal networks of human face-to-face contacts which are testified by their network properties and the epidemic spread dynamics on them.
... Disasters and Public Health Emergencies The NLM Disaster Information Management Research Center has tools, guides, and databases to ... Disasters and Public Health Emergencies The NLM Disaster Information Management Research Center has tools, guides, and databases to ...
Facial expressions of emotion (KDEF): identification under different display-duration conditions.
Calvo, Manuel G; Lundqvist, Daniel
2008-02-01
Participants judged which of seven facial expressions (neutrality, happiness, anger, sadness, surprise, fear, and disgust) were displayed by a set of 280 faces corresponding to 20 female and 20 male models of the Karolinska Directed Emotional Faces database (Lundqvist, Flykt, & Ohman, 1998). Each face was presented under free-viewing conditions (to 63 participants) and also for 25, 50, 100, 250, and 500 msec (to 160 participants), to examine identification thresholds. Measures of identification accuracy, types of errors, and reaction times were obtained for each expression. In general, happy faces were identified more accurately, earlier, and faster than other faces, whereas judgments of fearful faces were the least accurate, the latest, and the slowest. Norms for each face and expression regarding level of identification accuracy, errors, and reaction times may be downloaded from www.psychonomic.org/archive/.
Does it matter where we meet? The role of emotional context in evaluative first impressions.
Koji, Shahnaz; Fernandes, Myra
2010-06-01
We investigated how emotionality of visual background context influenced perceptual ratings of faces. In two experiments participants rated how positive or negative a face, with a neutral expression (Experiment 1), or unambiguous emotional expression (happy/angry; Experiment 2), appeared when viewed overlaid onto positive, negative, or neutral background context scenes. Faces viewed in a positive context were rated as appearing more positive than when in a neutral or negative context, and faces in negative contexts were rated more negative than when in a positive or neutral context, regardless of the emotional expression portrayed. Notably, congruency of valence in face expression and background context significantly influenced face ratings. These findings suggest that human judgements of faces are relative, and significantly influenced by contextual factors. (PsycINFO Database Record (c) 2010 APA, all rights reserved).
Benigni, Romualdo; Bossa, Cecilia; Richard, Ann M; Yang, Chihae
2008-01-01
Mutagenicity and carcinogenicity databases are crucial resources for toxicologists and regulators involved in chemicals risk assessment. Until recently, existing public toxicity databases have been constructed primarily as "look-up-tables" of existing data, and most often did not contain chemical structures. Concepts and technologies originated from the structure-activity relationships science have provided powerful tools to create new types of databases, where the effective linkage of chemical toxicity with chemical structure can facilitate and greatly enhance data gathering and hypothesis generation, by permitting: a) exploration across both chemical and biological domains; and b) structure-searchability through the data. This paper reviews the main public databases, together with the progress in the field of chemical relational databases, and presents the ISSCAN database on experimental chemical carcinogens.
NASA Astrophysics Data System (ADS)
Onodera, Natsuo; Mizukami, Masayuki
This paper estimates several quantitative indice on production and distribution of scientific and technical databases based on various recent publications and attempts to compare the indice internationally. Raw data used for the estimation are brought mainly from the Database Directory (published by MITI) for database production and from some domestic and foreign study reports for database revenues. The ratio of the indice among Japan, US and Europe for usage of database is similar to those for general scientific and technical activities such as population and R&D expenditures. But Japanese contributions to production, revenue and over-countory distribution of databases are still lower than US and European countries. International comparison of relative database activities between public and private sectors is also discussed.
New Wavenumber Calibration Tables From Heterodyne Frequency Measurements
Maki, Arthur G.; Wells, Joseph S.
1992-01-01
This new calibration atlas is based on frequency rather than wavelength calibration techniques for absolute references. Since a limited number of absolute frequency measurements is possible, additional data from alternate methodology are used for difference frequency measurements within each band investigated by the frequency measurements techniques. Data from these complementary techniques include the best Fourier transform measurements available. Included in the text relating to the atlas are a description of the heterodyne frequency measurement techniques and details of the analysis, including the Hamiltonians and least-squares-fitting and calculation. Also included are other relevant considerations such as intensities and lincshape parameters. A 390-entry bibliography which contains all data sources used and a subsequent section on errors conclude the text portion. The primary calibration molecules are the linear triatomics, carbonyl sulfide and nitrous oxide, which cover portions of the infrared spectrum ranging from 488 to 3120 cm−1. Some gaps in the coverage afforded by OCS and N2O are partially covered by NO, CO, and CS2. An additional region from 4000 to 4400 cm−1 is also included. The tabular portion of the atlas is too lengthy to include in an archival journal. Furthermore, different users have different requirements for such an atlas. In an effort to satisfy most users, we have made two different options available. The first is NIST Special Publication 821, which has a spectral map/facing table format. The spectral maps (as well as the facing tables) are calculated from molecular constants derived for the work. A complete list of all of the molecular transitions that went into making the maps is too long (perhaps by a factor of 4 or 5) to include in the facing tables. The second option for those not interested in maps (or perhaps to supplement Special Publication 821) is the complete list (tables-only) which is available in computerized format as NIST Standard Reference Database #39, Wavelength Calibration Tables. PMID:28053441
Surveillance of adverse effects following vaccination and safety of immunization programs.
Waldman, Eliseu Alves; Luhm, Karin Regina; Monteiro, Sandra Aparecida Moreira Gomes; Freitas, Fabiana Ramos Martin de
2011-02-01
The aim of the review was to analyze conceptual and operational aspects of systems for surveillance of adverse events following immunization. Articles available in electronic format were included, published between 1985 and 2009, selected from the PubMed/Medline databases using the key words "adverse events following vaccine surveillance", "post-marketing surveillance", "safety vaccine" and "Phase IV clinical trials". Articles focusing on specific adverse events were excluded. The major aspects underlying the Public Health importance of adverse events following vaccination, the instruments aimed at ensuring vaccine safety, and the purpose, attributes, types, data interpretation issues, limitations, and further challenges in adverse events following immunization were describe, as well as strategies to improve sensitivity. The review was concluded by discussing the challenges to be faced in coming years with respect to ensuring the safety and reliability of vaccination programs.
Fusion of LBP and SWLD using spatio-spectral information for hyperspectral face recognition
NASA Astrophysics Data System (ADS)
Xie, Zhihua; Jiang, Peng; Zhang, Shuai; Xiong, Jinquan
2018-01-01
Hyperspectral imaging, recording intrinsic spectral information of the skin cross different spectral bands, become an important issue for robust face recognition. However, the main challenges for hyperspectral face recognition are high data dimensionality, low signal to noise ratio and inter band misalignment. In this paper, hyperspectral face recognition based on LBP (Local binary pattern) and SWLD (Simplified Weber local descriptor) is proposed to extract discriminative local features from spatio-spectral fusion information. Firstly, the spatio-spectral fusion strategy based on statistical information is used to attain discriminative features of hyperspectral face images. Secondly, LBP is applied to extract the orientation of the fusion face edges. Thirdly, SWLD is proposed to encode the intensity information in hyperspectral images. Finally, we adopt a symmetric Kullback-Leibler distance to compute the encoded face images. The hyperspectral face recognition is tested on Hong Kong Polytechnic University Hyperspectral Face database (PolyUHSFD). Experimental results show that the proposed method has higher recognition rate (92.8%) than the state of the art hyperspectral face recognition algorithms.
Formal implementation of a performance evaluation model for the face recognition system.
Shin, Yong-Nyuo; Kim, Jason; Lee, Yong-Jun; Shin, Woochang; Choi, Jin-Young
2008-01-01
Due to usability features, practical applications, and its lack of intrusiveness, face recognition technology, based on information, derived from individuals' facial features, has been attracting considerable attention recently. Reported recognition rates of commercialized face recognition systems cannot be admitted as official recognition rates, as they are based on assumptions that are beneficial to the specific system and face database. Therefore, performance evaluation methods and tools are necessary to objectively measure the accuracy and performance of any face recognition system. In this paper, we propose and formalize a performance evaluation model for the biometric recognition system, implementing an evaluation tool for face recognition systems based on the proposed model. Furthermore, we performed evaluations objectively by providing guidelines for the design and implementation of a performance evaluation system, formalizing the performance test process.
Distributed Structure-Searchable Toxicity (DSSTox) Database Network: Making Public Toxicity Data Resources More Accessible and U sable for Data Exploration and SAR Development
Many sources of public toxicity data are not currently linked to chemical structure, are not ...
Holistic processing of static and moving faces.
Zhao, Mintao; Bülthoff, Isabelle
2017-07-01
Humans' face ability develops and matures with extensive experience in perceiving, recognizing, and interacting with faces that move most of the time. However, how facial movements affect 1 core aspect of face ability-holistic face processing-remains unclear. Here we investigated the influence of rigid facial motion on holistic and part-based face processing by manipulating the presence of facial motion during study and at test in a composite face task. The results showed that rigidly moving faces were processed as holistically as static faces (Experiment 1). Holistic processing of moving faces persisted whether facial motion was presented during study, at test, or both (Experiment 2). Moreover, when faces were inverted to eliminate the contributions of both an upright face template and observers' expertise with upright faces, rigid facial motion facilitated holistic face processing (Experiment 3). Thus, holistic processing represents a general principle of face perception that applies to both static and dynamic faces, rather than being limited to static faces. These results support an emerging view that both perceiver-based and face-based factors contribute to holistic face processing, and they offer new insights on what underlies holistic face processing, how information supporting holistic face processing interacts with each other, and why facial motion may affect face recognition and holistic face processing differently. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Quantitative assessment of the facial features of a Mexican population dataset.
Farrera, Arodi; García-Velasco, Maria; Villanueva, Maria
2016-05-01
The present study describes the morphological variation of a large database of facial photographs. The database comprises frontal (386 female, 764 males) and lateral (312 females, 666 males) images of Mexican individuals aged 14-69 years that were obtained under controlled conditions. We used geometric morphometric methods and multivariate statistics to describe the phenotypic variation within the dataset as well as the variation regarding sex and age groups. In addition, we explored the correlation between facial traits in both views. We found a spectrum of variation that encompasses broad and narrow faces. In frontal view, the latter is associated to a longer nose, a thinner upper lip, a shorter lower face and to a longer upper face, than individuals with broader faces. In lateral view, antero-posteriorly shortened faces are associated to a longer profile and to a shortened helix, than individuals with longer faces. Sexual dimorphism is found in all age groups except for individuals above 39 years old in lateral view. Likewise, age-related changes are significant for both sexes, except for females above 29 years old in both views. Finally, we observed that the pattern of covariation between views differs in males and females mainly in the thickness of the upper lip and the angle of the facial profile and the auricle. The results of this study could contribute to the forensic practices as a complement for the construction of biological profiles, for example, to improve facial reconstruction procedures. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Template protection and its implementation in 3D face recognition systems
NASA Astrophysics Data System (ADS)
Zhou, Xuebing
2007-04-01
As biometric recognition systems are widely applied in various application areas, security and privacy risks have recently attracted the attention of the biometric community. Template protection techniques prevent stored reference data from revealing private biometric information and enhance the security of biometrics systems against attacks such as identity theft and cross matching. This paper concentrates on a template protection algorithm that merges methods from cryptography, error correction coding and biometrics. The key component of the algorithm is to convert biometric templates into binary vectors. It is shown that the binary vectors should be robust, uniformly distributed, statistically independent and collision-free so that authentication performance can be optimized and information leakage can be avoided. Depending on statistical character of the biometric template, different approaches for transforming biometric templates into compact binary vectors are presented. The proposed methods are integrated into a 3D face recognition system and tested on the 3D facial images of the FRGC database. It is shown that the resulting binary vectors provide an authentication performance that is similar to the original 3D face templates. A high security level is achieved with reasonable false acceptance and false rejection rates of the system, based on an efficient statistical analysis. The algorithm estimates the statistical character of biometric templates from a number of biometric samples in the enrollment database. For the FRGC 3D face database, the small distinction of robustness and discriminative power between the classification results under the assumption of uniquely distributed templates and the ones under the assumption of Gaussian distributed templates is shown in our tests.
NASA Astrophysics Data System (ADS)
Guz, A. N.; Rushchitsky, J. J.
2009-11-01
The paper analyzes the level of coverage and citation of publications by mechanicians of the National Academy of Sciences of Ukraine (NASU) in the Scopus database. Two groups of mechanicians are considered. One group includes 66 doctors of sciences of the S. P. Timoshenko Institute of Mechanics as representatives of the oldest institute of the NASU. The other group includes 34 members (academicians and corresponding members) of the Division of Mechanics of the NASU as representatives of the authoritative community of mechanicians in Ukraine. The results are presented for each scientist in the form of two indices—the total number of publications accessible in the database as the level of coverage of the scientist's publications in this database and the h-index as the citation level of these publications. This paper may be considered to continue the papers [6-12] published in Prikladnaya Mekhanika (International Applied Mechanics) in 2005-2009
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bourham, Mohamed A.; Gilligan, John G.
Safety considerations in large future fusion reactors like ITER are important before licensing the reactor. Several scenarios are considered hazardous, which include safety of plasma-facing components during hard disruptions, high heat fluxes and thermal stresses during normal operation, accidental energy release, and aerosol formation and transport. Disruption events, in large tokamaks like ITER, are expected to produce local heat fluxes on plasma-facing components, which may exceed 100 GW/m{sup 2} over a period of about 0.1 ms. As a result, the surface temperature dramatically increases, which results in surface melting and vaporization, and produces thermal stresses and surface erosion. Plasma-facing componentsmore » safety issues extends to cover a wide range of possible scenarios, including disruption severity and the impact of plasma-facing components on disruption parameters, accidental energy release and short/long term LOCA's, and formation of airborne particles by convective current transport during a LOVA (water/air ingress disruption) accident scenario. Study, and evaluation of, disruption-induced aerosol generation and mobilization is essential to characterize database on particulate formation and distribution for large future fusion tokamak reactor like ITER. In order to provide database relevant to ITER, the SIRENS electrothermal plasma facility at NCSU has been modified to closely simulate heat fluxes expected in ITER.« less
Gender classification from video under challenging operating conditions
NASA Astrophysics Data System (ADS)
Mendoza-Schrock, Olga; Dong, Guozhu
2014-06-01
The literature is abundant with papers on gender classification research. However the majority of such research is based on the assumption that there is enough resolution so that the subject's face can be resolved. Hence the majority of the research is actually in the face recognition and facial feature area. A gap exists for gender classification under challenging operating conditions—different seasonal conditions, different clothing, etc.—and when the subject's face cannot be resolved due to lack of resolution. The Seasonal Weather and Gender (SWAG) Database is a novel database that contains subjects walking through a scene under operating conditions that span a calendar year. This paper exploits a subset of that database—the SWAG One dataset—using data mining techniques, traditional classifiers (ex. Naïve Bayes, Support Vector Machine, etc.) and traditional (canny edge detection, etc.) and non-traditional (height/width ratios, etc.) feature extractors to achieve high correct gender classification rates (greater than 85%). Another novelty includes exploiting frame differentials.
Yang, Jian; Zhang, David; Yang, Jing-Yu; Niu, Ben
2007-04-01
This paper develops an unsupervised discriminant projection (UDP) technique for dimensionality reduction of high-dimensional data in small sample size cases. UDP can be seen as a linear approximation of a multimanifolds-based learning framework which takes into account both the local and nonlocal quantities. UDP characterizes the local scatter as well as the nonlocal scatter, seeking to find a projection that simultaneously maximizes the nonlocal scatter and minimizes the local scatter. This characteristic makes UDP more intuitive and more powerful than the most up-to-date method, Locality Preserving Projection (LPP), which considers only the local scatter for clustering or classification tasks. The proposed method is applied to face and palm biometrics and is examined using the Yale, FERET, and AR face image databases and the PolyU palmprint database. The experimental results show that UDP consistently outperforms LPP and PCA and outperforms LDA when the training sample size per class is small. This demonstrates that UDP is a good choice for real-world biometrics applications.
Tuthill, Emily L; Chan, Jessica; Butler, Lisa M
2015-01-01
Exclusive breastfeeding (EBF) has been identified as the optimal nutrition and critical behavior in attaining human immunodeficiency virus (HIV)-free infant survival in resource-limited settings. Health-care providers (HCPs) in clinic- and community-settings throughout sub-Saharan Africa (sSA) provide infant-feeding counseling. However, rates of EBF at 6 months of age are suboptimal. HCPs are uniquely positioned to educate HIV-positive mothers and provide support by addressing known barriers to EBF. However, limited evidence exists on the experiences faced by HCPs in providing counseling on infant feeding to HIV-positive women. Our objective is to describe experiences faced by HCPs when delivering infant-feeding counseling in the context of HIV in program settings in sSA. We searched a range of electronic databases, including PubMed, CINAHL, and PsycINFO from January 1990 to February 2013, in addition to hand-searching, cross-reference searching, and personal communications. The search was limited to publications in English. Empirical studies of HCP experiences providing infant-feeding counseling in the prevention of mother-to-child transmission (PMTCT) of HIV programs in sSA were selected. We identified 10 peer-reviewed articles reporting HCP challenges in infant-feeding counseling that met inclusion criteria. Articles included qualitative, cross-sectional and mixed-method studies, and cumulatively reported 31 challenges faced by HCPs. Among the challenges identified, the most commonly reported were personal beliefs held by the HCPs toward infant feeding in the context of HIV, contradictory messages, staff workload, directive counseling styles, and a lack of practical strategies to offer mothers, often leading to improvised counseling approaches. Counseling strategies need to be developed that are relevant, meaningful, and responsive to the needs of both HCPs and mothers.
Comprehensive T-Matrix Reference Database: A 2007-2009 Update
NASA Technical Reports Server (NTRS)
Mishchenko, Michael I.; Zakharova, Nadia T.; Videen, Gorden; Khlebtsov, Nikolai G.; Wriedt, Thomas
2010-01-01
The T-matrix method is among the most versatile, efficient, and widely used theoretical techniques for the numerically exact computation of electromagnetic scattering by homogeneous and composite particles, clusters of particles, discrete random media, and particles in the vicinity of an interface separating two half-spaces with different refractive indices. This paper presents an update to the comprehensive database of T-matrix publications compiled by us previously and includes the publications that appeared since 2007. It also lists several earlier publications not included in the original database.
Marsh, John E; Patel, Krupali; Labonté, Katherine; Threadgold, Emma; Skelton, Faye C; Fodarella, Cristina; Thorley, Rachel; Battersby, Kirsty L; Frowd, Charlie D; Ball, Linden J; Vachon, François
2017-09-01
Cell-phone conversation is ubiquitous within public spaces. The current study investigates whether ignored cell-phone conversation impairs eyewitness memory for a perpetrator. Participants viewed a video of a staged crime in the presence of 1 side of a comprehensible cell-phone conversation (meaningful halfalogue), 2 sides of a comprehensible cell-phone conversation (meaningful dialogue), 1 side of an incomprehensible cell-phone conversation (meaningless halfalogue), or quiet. Between 24 and 28 hr later, participants freely described the perpetrator's face, constructed a single composite image of the perpetrator from memory, and attempted to identify the perpetrator from a sequential lineup. Further, participants rated the likeness of the composites to the perpetrator. Face recall and lineup identification were impaired when participants witnessed the staged crime in the presence of a meaningful halfalogue compared to a meaningless halfalogue, meaningful dialogue, or quiet. Moreover, likeness ratings showed that the composites constructed after ignoring the meaningful halfalogue resembled the perpetrator less than did those constructed after experiencing quiet or ignoring a meaningless halfalogue or a meaningful dialogue. The unpredictability of the meaningful content of the halfalogue, rather than its acoustic unexpectedness, produces distraction. The results are novel in that they suggest that an everyday distraction, even when presented in a different modality to target information, can impair the long-term memory of an eyewitness. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
VIEWCACHE: An incremental pointer-based access method for autonomous interoperable databases
NASA Technical Reports Server (NTRS)
Roussopoulos, N.; Sellis, Timos
1993-01-01
One of the biggest problems facing NASA today is to provide scientists efficient access to a large number of distributed databases. Our pointer-based incremental data base access method, VIEWCACHE, provides such an interface for accessing distributed datasets and directories. VIEWCACHE allows database browsing and search performing inter-database cross-referencing with no actual data movement between database sites. This organization and processing is especially suitable for managing Astrophysics databases which are physically distributed all over the world. Once the search is complete, the set of collected pointers pointing to the desired data are cached. VIEWCACHE includes spatial access methods for accessing image datasets, which provide much easier query formulation by referring directly to the image and very efficient search for objects contained within a two-dimensional window. We will develop and optimize a VIEWCACHE External Gateway Access to database management systems to facilitate database search.
Sport and exercise medicine research activity in the Arab world: a 15-year bibliometric analysis
Fares, Mohamad Y; Fares, Jawad; Baydoun, Hasan; Fares, Youssef
2017-01-01
Background The role of sports in decreasing the prevalence of many diseases has led to a growing interest in the field of sport and exercise medicine. But sport and exercise medicine still remains new to the Arab world, waiting to be explored. The aim of this study is to describe and characterise sport and exercise medicine research activity in the Arab world between 2002 and 2016. Methods The PubMed database was used to search for publications related to sport and exercise medicine. Publications were classified according to the country of origin and filtered to include publications between 2002 and 2016. Research output was analysed with respect to gross domestic product (GDP) and population of each country. Results A total of 1148 papers related to sport and exercise medicine were found to be published in the Arab countries between 2002 and 2016. Sport-and-exercise-medicine-related publications constituted 0.86% of the total biomedical research papers published in the Arab world and 0.49% of the world’s sport and exercise medicine literature. The number of sport-and-exercise-medicine-related publications per country ranged from zero to 352, with Qatar occupying the top spot. Tunisia ranked first with respect to publications per average GDP, while Qatar ranked first with respect to publications per average population. Comoros, Mauritania, Somalia, Sudan and Yemen were found to have no publications related to sport and exercise medicine. Conclusion Sport and exercise medicine is a novel field in the Arab world. Recognising the barriers facing sport and exercise medicine research and exploring them meticulously remains an essential part of the plan to improve the Arab world’s output and contribution in this field. PMID:29259813
Federated Search Tools in Fusion Centers: Bridging Databases in the Information Sharing Environment
2012-09-01
considerable variation in how fusion centers plan for, gather requirements, select and acquire federated search tools to bridge disparate databases...centers, when considering integrating federated search tools; by evaluating the importance of the planning, requirements gathering, selection and...acquisition processes for integrating federated search tools; by acknowledging the challenges faced by some fusion centers during these integration processes
Clarke, Alex; Simmons, Jon; White, Paul; Withey, Simon; Butler, Peter E M
2006-01-01
Hettiaratchy and Butler (Lancet 2002;360:5-6) framed face transplantation as the next logical step on the reconstructive ladder for severe facial injury, in particular, pan-facial burns. The procedure formed the basis for a Royal College of Surgeons of England working party report. Ethical, surgical, and psychological issues were identified as research priorities before face transplantation is attempted in the United Kingdom. Public engagement is a vital mechanism if people are to be informed about the risks and benefits of the technique and ultimately to be able to consent to either receiving or donating facial tissue. To sample public opinion about the procedure, 304 people attending the Royal Society Summer Science Exhibition were sampled by online questionnaire to determine their attitude toward face transplantation. Although people were more cautious about face transplantation when comparing this with solid-organ transplantation, most of the sample were in favor of the procedure, whether receiving a donor face or donating their own face after their death. Only 10% were against the idea in principle. Concerns about altered identity were not a barrier to face transplantation for 69% of the sample, with most people appropriately identifying the long-term problems of immunosuppression as the issue that most concerned them. There is a substantial population of people who, given the right circumstances, would contemplate face transplantation for themselves and would be willing to donate their own face for transplantation after their death.
Vaccine refusal - what we need to know.
Succi, Regina Célia de Menezes
2018-04-12
Opposition to vaccines is not a new event, and appeared soon after the introduction of the smallpox vaccine in the late 18th century. The purpose of this review is to educate healthcare professionals about vaccine hesitancy and refusal, its causes and consequences, and make suggestions to address this challenge. A comprehensive and non-systematic search was carried out in the PubMed, LILACS, and ScieLo databases from 1980 to the present day, using the terms "vaccine refusal," "vaccine hesitancy," and "vaccine confidence." The publications considered as the most relevant by the author were critically selected. The beliefs and arguments of the anti-vaccine movements have remained unchanged in the past two centuries, but new social media has facilitated the dissemination of information against vaccines. Studies on the subject have intensified after 2010, but the author did not retrieve any published studies to quantify this behavior in Brazil. The nomenclature on the subject (vaccine hesitancy) was standardized by the World Health Organization in 2012. Discussions have been carried out on the possible causes of vaccine hesitancy and refusal, as well as on the behavior of families and health professionals. Proposals for interventions to decrease public doubts, clarify myths, and improve confidence in vaccines have been made. Guides for the health care professional to face the problem are emerging. The healthcare professional is a key element to transmit information, resolve doubts and increase confidence in vaccines. They must be prepared to face this new challenge. Copyright © 2018 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.
Safety of sports facilities and training of graduates in physical education.
Romano Spica, V; Giampaoli, S; Di Onofrio, V; Liguori, G
2015-01-01
Post-industrial societies have to face the problem of physical inactivity and inappropriate lifestyles. Programs to promote physical activity are strongly supported by supranational, national and local institutions and organizations. These programs can be developed in sport facilities but also in places that are not institutionally dedicated to sport. The use of urban and working sites has the advantage of better reach the various segments of the population, but at the same time requires coordination between various professionals in structuring an effective intervention. Bibliographical research in the historical archives of the library of the University of Rome Foro Italico, online databases, paleoigiene (wikigiene), documents archives (GSMS-SItI, WHO, ISS, OsEPi, INAIL, ISTAT, national laws). Several guidelines and regulations face the problem of safety in sport environments. The context is in rapid evolution and directions are provided by public health authorities. Graduates in Sport and Physical Activity, represent an additional resource in terms of: prevention and safety in the workplace, health education, application of preventive and adapted physical activities in the territory. These tasks can be integrated in all prevention stages: e.g. childhood and primary prevention programs in school, adapted physical activity for the elderly. The contribution of public health specialists is strategic in the surveillance and coordination of integrated projects. At the same time, graduates in Physical Education appear to be pivots for health promotion and qualified resources for institutions in the territory. Their training should always include contents related to prevention and safety, regulations on sport and working environments, along with bases of preventive medicine related to the context of physical activity.
ECOTOX database; new additions and future direction
The ECOTOXicology database (ECOTOX) is a comprehensive, publicly available knowledgebase developed and maintained by ORD/NHEERL. It is used for environmental toxicity data on aquatic life, terrestrial plants and wildlife. Publications are identified for potential applicability af...
Online social networks for patient involvement and recruitment in clinical research.
Ryan, Gemma Sinead
2013-01-01
To review current literature and discuss the potential of online social networking to engage patients and the public and recruit and retain participants in clinical research. Online social networking is becoming a large influence on people's daily lives. Clinical research faces several challenges, with an increasing need to engage with patients and the public and for studies to recruit and retain increasing numbers of participants, particularly in under-served, under-represented and hard to reach groups and communities. Searches were conducted using EMBASE, BNI, ERIC, CINAHL, PSYCHinfo online databases and Google Scholar to identify any grey or unpublished literature that may be available. Review methods This is a methodology paper. Online social networking is a successful, cost-effective and efficient method by which to target and recruit a wide range of communities, adolescents, young people and underserved populations into quantitative and qualitative research. Retention of participants in longitudinal studies could be improved using social networks such as Facebook. Evidence indicates that a mixed approach to recruitment using social networking and traditional methods is most effective. Further research is required to strengthen the evidence available, especially in dissemination of research through online social networks. Researchers should consider using online social networking as a method of engaging the public, and also for the recruitment and follow up of participants.
BioQ: tracing experimental origins in public genomic databases using a novel data provenance model.
Saccone, Scott F; Quan, Jiaxi; Jones, Peter L
2012-04-15
Public genomic databases, which are often used to guide genetic studies of human disease, are now being applied to genomic medicine through in silico integrative genomics. These databases, however, often lack tools for systematically determining the experimental origins of the data. We introduce a new data provenance model that we have implemented in a public web application, BioQ, for assessing the reliability of the data by systematically tracing its experimental origins to the original subjects and biologics. BioQ allows investigators to both visualize data provenance as well as explore individual elements of experimental process flow using precise tools for detailed data exploration and documentation. It includes a number of human genetic variation databases such as the HapMap and 1000 Genomes projects. BioQ is freely available to the public at http://bioq.saclab.net.
Semisupervised kernel marginal Fisher analysis for face recognition.
Wang, Ziqiang; Sun, Xia; Sun, Lijun; Huang, Yuchun
2013-01-01
Dimensionality reduction is a key problem in face recognition due to the high-dimensionality of face image. To effectively cope with this problem, a novel dimensionality reduction algorithm called semisupervised kernel marginal Fisher analysis (SKMFA) for face recognition is proposed in this paper. SKMFA can make use of both labelled and unlabeled samples to learn the projection matrix for nonlinear dimensionality reduction. Meanwhile, it can successfully avoid the singularity problem by not calculating the matrix inverse. In addition, in order to make the nonlinear structure captured by the data-dependent kernel consistent with the intrinsic manifold structure, a manifold adaptive nonparameter kernel is incorporated into the learning process of SKMFA. Experimental results on three face image databases demonstrate the effectiveness of our proposed algorithm.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-02-09
...The Environmental Protection Agency (EPA or Agency) Science Advisory Board (SAB) Staff Office announces a public face-to-face meeting of the SAB Panel to conduct an independent review of EPA's Draft Hydraulic Fracturing Study Plan.
Individual differences in perceiving and recognizing faces-One element of social cognition.
Wilhelm, Oliver; Herzmann, Grit; Kunina, Olga; Danthiir, Vanessa; Schacht, Annekathrin; Sommer, Werner
2010-09-01
Recognizing faces swiftly and accurately is of paramount importance to humans as a social species. Individual differences in the ability to perform these tasks may therefore reflect important aspects of social or emotional intelligence. Although functional models of face cognition based on group and single case studies postulate multiple component processes, little is known about the ability structure underlying individual differences in face cognition. In 2 large individual differences experiments (N = 151 and N = 209), a broad variety of face-cognition tasks were tested and the component abilities of face cognition-face perception, face memory, and the speed of face cognition-were identified and then replicated. Experiment 2 also showed that the 3 face-cognition abilities are clearly distinct from immediate and delayed memory, mental speed, general cognitive ability, and object cognition. These results converge with functional and neuroanatomical models of face cognition by demonstrating the difference between face perception and face memory. The results also underline the importance of distinguishing between speed and accuracy of face cognition. Together our results provide a first step toward establishing face-processing abilities as an independent ability reflecting elements of social intelligence. (PsycINFO Database Record (c) 2010 APA, all rights reserved).
Rhodes, Gillian; Lie, Hanne C; Ewing, Louise; Evangelista, Emma; Tanaka, James W
2010-01-01
Discrimination and recognition are often poorer for other-race than own-race faces. These other-race effects (OREs) have traditionally been attributed to reduced perceptual expertise, resulting from more limited experience, with other-race faces. However, recent findings suggest that sociocognitive factors, such as reduced motivation to individuate other-race faces, may also contribute. If the sociocognitive hypothesis is correct, then it should be possible to alter discrimination and memory performance for identical faces by altering their perceived race. We made identical ambiguous-race morphed faces look either Asian or Caucasian by presenting them in Caucasian or Asian face contexts, respectively. However, this perceived-race manipulation had no effect on either discrimination (Experiment 1) or memory (Experiment 2) for the ambiguous-race faces, despite the presence of the usual OREs in discrimination and recognition of unambiguous Asian and Caucasian faces in our participant population. These results provide no support for the sociocognitive hypothesis. (PsycINFO Database Record (c) 2009 APA, all rights reserved).
Fusar-Poli, Paolo; Placentino, Anna; Carletti, Francesco; Landi, Paola; Allen, Paul; Surguladze, Simon; Benedetti, Francesco; Abbamonte, Marta; Gasparotti, Roberto; Barale, Francesco; Perez, Jorge; McGuire, Philip; Politi, Pierluigi
2009-01-01
Background Most of our social interactions involve perception of emotional information from the faces of other people. Furthermore, such emotional processes are thought to be aberrant in a range of clinical disorders, including psychosis and depression. However, the exact neurofunctional maps underlying emotional facial processing are not well defined. Methods Two independent researchers conducted separate comprehensive PubMed (1990 to May 2008) searches to find all functional magnetic resonance imaging (fMRI) studies using a variant of the emotional faces paradigm in healthy participants. The search terms were: “fMRI AND happy faces,” “fMRI AND sad faces,” “fMRI AND fearful faces,” “fMRI AND angry faces,” “fMRI AND disgusted faces” and “fMRI AND neutral faces.” We extracted spatial coordinates and inserted them in an electronic database. We performed activation likelihood estimation analysis for voxel-based meta-analyses. Results Of the originally identified studies, 105 met our inclusion criteria. The overall database consisted of 1785 brain coordinates that yielded an overall sample of 1600 healthy participants. Quantitative voxel-based meta-analysis of brain activation provided neurofunctional maps for 1) main effect of human faces; 2) main effect of emotional valence; and 3) modulatory effect of age, sex, explicit versus implicit processing and magnetic field strength. Processing of emotional faces was associated with increased activation in a number of visual, limbic, temporoparietal and prefrontal areas; the putamen; and the cerebellum. Happy, fearful and sad faces specifically activated the amygdala, whereas angry or disgusted faces had no effect on this brain region. Furthermore, amygdala sensitivity was greater for fearful than for happy or sad faces. Insular activation was selectively reported during processing of disgusted and angry faces. However, insular sensitivity was greater for disgusted than for angry faces. Conversely, neural response in the visual cortex and cerebellum was observable across all emotional conditions. Limitations Although the activation likelihood estimation approach is currently one of the most powerful and reliable meta-analytical methods in neuroimaging research, it is insensitive to effect sizes. Conclusion Our study has detailed neurofunctional maps to use as normative references in future fMRI studies of emotional facial processing in psychiatric populations. We found selective differences between neural networks underlying the basic emotions in limbic and insular brain regions. PMID:19949718
Code of Federal Regulations, 2014 CFR
2014-04-01
... submit a public version of a database in pdf format. The public version of the database must be publicly... interested party that files with the Department a request for an expedited antidumping review, an..., whichever is later. If the interested party that files the request is unable to locate a particular exporter...
Wada, Koji; Oka-Ezoe, Kuniko; Smith, Derek R
2012-12-10
Although the wearing of face masks in public has not been recommended for preventing influenza, these devices are often worn in many Asian countries during the influenza season. In Japan, it is thought that such behavior may be an indicator of other positive hygiene practices. The aim of this study, therefore, was to determine if wearing a face mask in public is associated with other positive hygiene practices and health behaviors among Japanese adults. We initially recruited around 3,000 Japanese individuals ranging from 20 to 69 years of age who were registered with a web survey company. Participants were asked to recall their personal hygiene practices during the influenza season of the previous year. Logistic regression analysis was then used to examine the associations between wearing a face mask in public and personal hygiene practices and health behaviors. A total of 3,129 persons responded to the survey, among whom 38% reported that they had worn a face mask in public during the previous influenza season. Wearing a face mask in public was associated with various self-reported hygiene practices including: frequent hand washing (adjusted Odds Ratio [OR]: 1.67; 95% Confidence Interval [95%CI]: 1.34-1.96), occasional hand washing (OR: 1.43; 95%CI: 1.10-1.75), frequently avoiding crowds (OR: 1.85; 95%CI: 1.70-1.98), occasionally avoiding crowds (OR: 1.65; 95%CI: 1.53-1.76), frequent gargling (OR: 1.68; 95%CI: 1.51-1.84), occasional gargling (OR: 1.46; 95%CI: 1.29-1.62), regularly avoiding close contact with an infected person (OR: 1.50; 95%CI: 1.33-1.67), occasionally avoiding close contact with an infected person (OR: 1.31; 95%CI: 1.16-1.46), and being vaccinated of influenza in the last season (OR: 1.31; 95%CI: 1.17-1.45). Overall, this study suggests that wearing a face mask in public may be associated with other personal hygiene practices and health behaviors among Japanese adults. Rather than preventing influenza itself, face mask use might instead be a marker of additional, positive hygiene practices and other favorable health behaviors in the same individuals.
Second-Tier Database for Ecosystem Focus, 2003-2004 Annual Report.
DOE Office of Scientific and Technical Information (OSTI.GOV)
University of Washington, Columbia Basin Research, DART Project Staff,
2004-12-01
The Second-Tier Database for Ecosystem Focus (Contract 00004124) provides direct and timely public access to Columbia Basin environmental, operational, fishery and riverine data resources for federal, state, public and private entities essential to sound operational and resource management. The database also assists with juvenile and adult mainstem passage modeling supporting federal decisions affecting the operation of the FCRPS. The Second-Tier Database known as Data Access in Real Time (DART) integrates public data for effective access, consideration and application. DART also provides analysis tools and performance measures for evaluating the condition of Columbia Basin salmonid stocks. These services are critical tomore » BPA's implementation of its fish and wildlife responsibilities under the Endangered Species Act (ESA).« less
Discriminative Projection Selection Based Face Image Hashing
NASA Astrophysics Data System (ADS)
Karabat, Cagatay; Erdogan, Hakan
Face image hashing is an emerging method used in biometric verification systems. In this paper, we propose a novel face image hashing method based on a new technique called discriminative projection selection. We apply the Fisher criterion for selecting the rows of a random projection matrix in a user-dependent fashion. Moreover, another contribution of this paper is to employ a bimodal Gaussian mixture model at the quantization step. Our simulation results on three different databases demonstrate that the proposed method has superior performance in comparison to previously proposed random projection based methods.
2011-04-01
to iris or face recognition. In addition, breathing the dust is prevented with something covering the mouth , which will cause problems with face...headgear that “obscures the hair or hairline”. [58] One database of face images has images of people with and without scarves over their mouth . [59... Electronic Systems Magazine. Vol 19, Number 9, September 2004. [58] U.S. Department of State. How to Apply [for a Passport] in Person. [On-line
iRefWeb: interactive analysis of consolidated protein interaction data and their supporting evidence
Turner, Brian; Razick, Sabry; Turinsky, Andrei L.; Vlasblom, James; Crowdy, Edgard K.; Cho, Emerson; Morrison, Kyle; Wodak, Shoshana J.
2010-01-01
We present iRefWeb, a web interface to protein interaction data consolidated from 10 public databases: BIND, BioGRID, CORUM, DIP, IntAct, HPRD, MINT, MPact, MPPI and OPHID. iRefWeb enables users to examine aggregated interactions for a protein of interest, and presents various statistical summaries of the data across databases, such as the number of organism-specific interactions, proteins and cited publications. Through links to source databases and supporting evidence, researchers may gauge the reliability of an interaction using simple criteria, such as the detection methods, the scale of the study (high- or low-throughput) or the number of cited publications. Furthermore, iRefWeb compares the information extracted from the same publication by different databases, and offers means to follow-up possible inconsistencies. We provide an overview of the consolidated protein–protein interaction landscape and show how it can be automatically cropped to aid the generation of meaningful organism-specific interactomes. iRefWeb can be accessed at: http://wodaklab.org/iRefWeb. Database URL: http://wodaklab.org/iRefWeb/ PMID:20940177
Machado, Helena; Silva, Susana
2015-10-01
The ethical aspects of biobanks and forensic DNA databases are often treated as separate issues. As a reflection of this, public participation, or the involvement of citizens in genetic databases, has been approached differently in the fields of forensics and medicine. This paper aims to cross the boundaries between medicine and forensics by exploring the flows between the ethical issues presented in the two domains and the subsequent conceptualisation of public trust and legitimisation. We propose to introduce the concept of 'solidarity', traditionally applied only to medical and research biobanks, into a consideration of public engagement in medicine and forensics. Inclusion of a solidarity-based framework, in both medical biobanks and forensic DNA databases, raises new questions that should be included in the ethical debate, in relation to both health services/medical research and activities associated with the criminal justice system. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
ICRP Publication 107. Nuclear decay data for dosimetric calculations.
Eckerman, K; Endo, A
2008-01-01
In this report, the Commission provides an electronic database of the physical data needed in calculations of radionuclide-specific protection and operational quantities. This database supersedes the data of Publication 38 (ICRP, 1983), and will be used in future ICRP publications of dose coefficients for the intake of or exposure to radionuclides in the workplace and the environment.The database contains information on the half-lives, decay chains, and yields and energies of radiations emitted in nuclear transformations of 1252 radionuclides of 97 elements. The CD accompanying the publication provides electronic access to complete tables of the emitted radiations, as well as the beta and neutron spectra. The database has been constructed such that user-developed software can extract the data needed for further calculations of a radionuclide of interest. A Windows-based application is provided to display summary information on a user-specified radionuclide, as well as the general characterisation of the nuclides contained in the database. In addition, the application provides a means by which the user can export the emissions of a specified radionuclide for use in subsequent calculations.
CORE-Hom: a powerful and exhaustive database of clinical trials in homeopathy.
Clausen, Jürgen; Moss, Sian; Tournier, Alexander; Lüdtke, Rainer; Albrecht, Henning
2014-10-01
The CORE-Hom database was created to answer the need for a reliable and publicly available source of information in the field of clinical research in homeopathy. As of May 2014 it held 1048 entries of clinical trials, observational studies and surveys in the field of homeopathy, including second publications and re-analyses. 352 of the trials referenced in the database were published in peer reviewed journals, 198 of which were randomised controlled trials. The most often used remedies were Arnica montana (n = 103) and Traumeel(®) (n = 40). The most studied medical conditions were respiratory tract infections (n = 126) and traumatic injuries (n = 110). The aim of this article is to introduce the database to the public, describing and explaining the interface, features and content of the CORE-Hom database. Copyright © 2014 The Faculty of Homeopathy. Published by Elsevier Ltd. All rights reserved.
16 CFR 1102.44 - Applicability of sections 6(a) and (b) of the CPSA.
Code of Federal Regulations, 2011 CFR
2011-01-01
... PRODUCT SAFETY ACT REGULATIONS PUBLICLY AVAILABLE CONSUMER PRODUCT SAFETY INFORMATION DATABASE (Eff. Jan... publication in § 1102.10(d) in the Database. (b) Limitation on construction. Section 1102.44(a) shall not be...
Chen, Yu-Chun; Wu, Jau-Ching; Haschler, Ingo; Majeed, Azeem; Chen, Tzeng-Ji; Wetter, Thomas
2011-01-01
Background Studies that use electronic health databases as research material are getting popular but the influence of a single electronic health database had not been well investigated yet. The United Kingdom's General Practice Research Database (GPRD) is one of the few electronic health databases publicly available to academic researchers. This study analyzed studies that used GPRD to demonstrate the scientific production and academic impact by a single public health database. Methodology and Findings A total of 749 studies published between 1995 and 2009 with ‘General Practice Research Database’ as their topics, defined as GPRD studies, were extracted from Web of Science. By the end of 2009, the GPRD had attracted 1251 authors from 22 countries and been used extensively in 749 studies published in 193 journals across 58 study fields. Each GPRD study was cited 2.7 times by successive studies. Moreover, the total number of GPRD studies increased rapidly, and it is expected to reach 1500 by 2015, twice the number accumulated till the end of 2009. Since 17 of the most prolific authors (1.4% of all authors) contributed nearly half (47.9%) of GPRD studies, success in conducting GPRD studies may accumulate. The GPRD was used mainly in, but not limited to, the three study fields of “Pharmacology and Pharmacy”, “General and Internal Medicine”, and “Public, Environmental and Occupational Health”. The UK and United States were the two most active regions of GPRD studies. One-third of GRPD studies were internationally co-authored. Conclusions A public electronic health database such as the GPRD will promote scientific production in many ways. Data owners of electronic health databases at a national level should consider how to reduce access barriers and to make data more available for research. PMID:21731733
The Right Tools for the Right Jobs.
ERIC Educational Resources Information Center
Barbalich, Andrea, Ed.
1995-01-01
A chart shows the best campus public relations uses for 17 communication techniques: face-to-face contact; phone call, regular mail; electronic mail; special events; a speech; press release; press kit; press conference; television and radio public service announcements; video news releases; promotions and posters; advertising; newsletter;…
The Answer Van in Rural New Jersey
ERIC Educational Resources Information Center
Milich, Patricia S.
1978-01-01
Description of a mobile information center that provides public information on local events, municipal ordinances, employment, taxes, social security, planned parenthood, welfare, adoption laws, and other topics. The project has been deemed successful because it offers the public an opportunity to communicate face to face in a nonthreatening…
Federal Register 2010, 2011, 2012, 2013, 2014
2011-07-08
... meeting location for a public face-to-face meeting of the SAB panel to review the interagency Great Lakes... Time). ADDRESSES: The Panel meeting will be held at the EPA Region 5 Offices, The Lake Michigan Room in...
Reputation Management: The New Face of Corporate Public Relations?
ERIC Educational Resources Information Center
Hutton, James G.; Goodman, Michael B.; Alexander, Jill B.; Genest, Christina M.
2001-01-01
Presents an empirical study of the Fortune 500 companies suggesting that "reputation management" is gaining ground as a driving philosophy behind corporate public relations. Finds some interesting correlations between reputation and specific categories of spending. Concludes that if reputation management is the new face of corporate…
Public Reporting and Demand Rationing: Evidence from the Nursing Home Industry.
He, Daifeng; Konetzka, R Tamara
2015-11-01
This paper examines an under-explored unintended consequence of public reporting: the potential for demand rationing. Public reporting, although intended to increase consumer access to high-quality products, may have provided the perverse incentive for high-quality providers facing fixed capacity and administrative pricing to avoid less profitable types of residents. Using data from the nursing home industry before and after the implementation of the public reporting system in 2002, we find that high-quality nursing homes facing capacity constraints reduced admissions of less profitable Medicaid residents while increasing the more profitable Medicare and private-pay admissions, relative to low-quality nursing homes facing no capacity constraints. These effects, although small in magnitude, are consistent with provider rationing of demand on the basis of profitability and underscore the important role of institutional details in designing effective public reporting systems for regulated industries. Copyright © 2014 John Wiley & Sons, Ltd.
NASA Astrophysics Data System (ADS)
Zhao, Yiqun; Wang, Zhihui
2015-12-01
The Internet of things (IOT) is a kind of intelligent networks which can be used to locate, track, identify and supervise people and objects. One of important core technologies of intelligent visual internet of things ( IVIOT) is the intelligent visual tag system. In this paper, a research is done into visual feature extraction and establishment of visual tags of the human face based on ORL face database. Firstly, we use the principal component analysis (PCA) algorithm for face feature extraction, then adopt the support vector machine (SVM) for classifying and face recognition, finally establish a visual tag for face which is already classified. We conducted a experiment focused on a group of people face images, the result show that the proposed algorithm have good performance, and can show the visual tag of objects conveniently.
Combination of Face Regions in Forensic Scenarios.
Tome, Pedro; Fierrez, Julian; Vera-Rodriguez, Ruben; Ortega-Garcia, Javier
2015-07-01
This article presents an experimental analysis of the combination of different regions of the human face on various forensic scenarios to generate scientific knowledge useful for the forensic experts. Three scenarios of interest at different distances are considered comparing mugshot and CCTV face images using MORPH and SC face databases. One of the main findings is that inner facial regions combine better in mugshot and close CCTV scenarios and outer facial regions combine better in far CCTV scenarios. This means, that depending of the acquisition distance, the discriminative power of the facial regions change, having in some cases better performance than the full face. This effect can be exploited by considering the fusion of facial regions which results in a very significant improvement of the discriminative performance compared to just using the full face. © 2015 American Academy of Forensic Sciences.
Asiimwe, Innocent Gerald; Rumona, Dickson
2016-01-01
To limit selective and incomplete publication of the results of clinical trials, registries including ClinicalTrials.gov were introduced. The ClinicalTrials.gov registry added a results database in 2008 to enable researchers to post the results of their trials as stipulated by the Food and Drug Administration Amendment Act of 2007. This study aimed to determine the direction and magnitude of any change in publication proportions of registered breast cancer trials that occurred since the inception of the ClinicalTrials.gov results database. A cross-sectional study design was employed using ClinicalTrials.gov, a publicly available registry/results database as the primary data source. Registry contents under the subcategories 'Breast Neoplasms' and 'Breast Neoplasms, Male' were downloaded on 1 August 2015. A literature search for included trials was afterwards conducted using MEDLINE and DISCOVER databases to determine publication status of the registered breast cancer trials. Nearly half (168/340) of the listed trials had been published, with a median time to publication of 24 months (Q1 = 14 months, Q3 = 42 months). Only 86 trials were published within 24 months of completion. There was no significant increase in publication proportions of trials that were completed before the introduction of the results database compared to those completed after (OR = 1.00, 95 % CI = .61 to 1.63; adjusted OR = 0.84, 95 % CI = .51 to 1.39). Characteristics associated with publication included trial type (observational versus interventional adjusted OR = .28, 95 % CI = .10 to .74) and completion/termination status (terminated versus completed adjusted OR = .22, 95 % CI = .09 to .51). Less than a half of breast cancer trials registered in ClinicalTrials.gov are published in peer-reviewed journals.
A Comparison of Global Indexing Schemes to Facilitate Earth Science Data Management
NASA Astrophysics Data System (ADS)
Griessbaum, N.; Frew, J.; Rilee, M. L.; Kuo, K. S.
2017-12-01
Recent advances in database technology have led to systems optimized for managing petabyte-scale multidimensional arrays. These array databases are a good fit for subsets of the Earth's surface that can be projected into a rectangular coordinate system with acceptable geometric fidelity. However, for global analyses, array databases must address the same distortions and discontinuities that apply to map projections in general. The array database SciDB supports enormous databases spread across thousands of computing nodes. Additionally, the following SciDB characteristics are particularly germane to the coordinate system problem: SciDB efficiently stores and manipulates sparse (i.e. mostly empty) arrays. SciDB arrays have 64-bit indexes. SciDB supports user-defined data types, functions, and operators. We have implemented two geospatial indexing schemes in SciDB. The simplest uses two array dimensions to represent longitude and latitude. For representation as 64-bit integers, the coordinates are multiplied by a scale factor large enough to yield an appropriate Earth surface resolution (e.g., a scale factor of 100,000 yields a resolution of approximately 1m at the equator). Aside from the longitudinal discontinuity, the principal disadvantage of this scheme is its fixed scale factor. The second scheme uses a single array dimension to represent the bit-codes for locations in a hierarchical triangular mesh (HTM) coordinate system. A HTM maps the Earth's surface onto an octahedron, and then recursively subdivides each triangular face to the desired resolution. Earth surface locations are represented as the concatenation of an octahedron face code and a quadtree code within the face. Unlike our integerized lat-lon scheme, the HTM allow for objects of different size (e.g., pixels with differing resolutions) to be represented in the same indexing scheme. We present an evaluation of the relative utility of these two schemes for managing and analyzing MODIS swath data.
ERIC Educational Resources Information Center
Feinberg, Daniel A.
2017-01-01
This study examined the supports that female students sought out and found of value in an online database design course in a health informatics master's program. A target outcome was to help inform the practice of faculty and administrators in similar programs. Health informatics is a growing field that has faced shortages of qualified workers who…
Molecular scaffold analysis of natural products databases in the public domain.
Yongye, Austin B; Waddell, Jacob; Medina-Franco, José L
2012-11-01
Natural products represent important sources of bioactive compounds in drug discovery efforts. In this work, we compiled five natural products databases available in the public domain and performed a comprehensive chemoinformatic analysis focused on the content and diversity of the scaffolds with an overview of the diversity based on molecular fingerprints. The natural products databases were compared with each other and with a set of molecules obtained from in-house combinatorial libraries, and with a general screening commercial library. It was found that publicly available natural products databases have different scaffold diversity. In contrast to the common concept that larger libraries have the largest scaffold diversity, the largest natural products collection analyzed in this work was not the most diverse. The general screening library showed, overall, the highest scaffold diversity. However, considering the most frequent scaffolds, the general reference library was the least diverse. In general, natural products databases in the public domain showed low molecule overlap. In addition to benzene and acyclic compounds, flavones, coumarins, and flavanones were identified as the most frequent molecular scaffolds across the different natural products collections. The results of this work have direct implications in the computational and experimental screening of natural product databases for drug discovery. © 2012 John Wiley & Sons A/S.
Developing Effective In-School-Suspension Programs.
ERIC Educational Resources Information Center
Vanderslice, Ronna
Discipline--the most serious problem faced by teachers today--has consistently appeared at or near the top of the public's attitudes toward the public schools. This paper discusses the difficulty of discipline and one of the most perplexing problems facing administrators today--the use of suspension as a discipline alternative. Out-of-school…
Researching for Public Speaking Classes: Requiring Various Media.
ERIC Educational Resources Information Center
Greenberg, Cindy A.
This paper presents steps for incorporating research into a community college public speaking class curriculum. It outlines, from an historical perspective, the different techniques and tools of research, including face-to-face contact, the printing press, modern machinery, and computers. It suggests discussing research surveys and taking students…
Facing the Knowledge Society: Mexico's Public Universities
ERIC Educational Resources Information Center
Varela-Petito, Gonzalo
2010-01-01
Public higher education in Mexico faces major challenges vis-a-vis its position within the modern knowledge society, sparking concern among educational authorities. In the second half of the 20th century Mexican universities ceased to be selective, elitist schools, becoming, instead, massive institutions that reflect social and intellectual…
Barriers and enablers of kangaroo mother care practice: a systematic review.
Seidman, Gabriel; Unnikrishnan, Shalini; Kenny, Emma; Myslinski, Scott; Cairns-Smith, Sarah; Mulligan, Brian; Engmann, Cyril
2015-01-01
Kangaroo mother care (KMC) is an evidence-based approach to reducing mortality and morbidity in preterm infants. Although KMC is a key intervention package in newborn health initiatives, there is limited systematic information available on the barriers to KMC practice that mothers and other stakeholders face while practicing KMC. This systematic review sought to identify the most frequently reported barriers to KMC practice for mothers, fathers, and health practitioners, as well as the most frequently reported enablers to practice for mothers. We searched nine electronic databases and relevant reference lists for publications reporting barriers or enablers to KMC practice. We identified 1,264 unique publications, of which 103 were included based on pre-specified criteria. Publications were scanned for all barriers / enablers. Each publication was also categorized based on its approach to identification of barriers / enablers, and more weight was assigned to publications which had systematically sought to understand factors influencing KMC practice. Four of the top five ranked barriers to KMC practice for mothers were resource-related: "Issues with the facility environment / resources," "negative impressions of staff attitudes or interactions with staff," "lack of help with KMC practice or other obligations," and "low awareness of KMC / infant health." Considering only publications from low- and middle-income countries, "pain / fatigue" was ranked higher than when considering all publications. Top enablers to practice were included "mother-infant attachment" and "support from family, friends, and other mentors." Our findings suggest that mother can understand and enjoy KMC, and it has benefits for mothers, infants, and families. However, continuous KMC may be physically and emotionally difficult, and often requires support from family members, health practitioners, or other mothers. These findings can serve as a starting point for researchers and program implementers looking to improve KMC programs.
Riviere, Guillaume; Klopp, Christophe; Ibouniyamine, Nabihoudine; Huvet, Arnaud; Boudry, Pierre; Favrel, Pascal
2015-12-02
The Pacific oyster, Crassostrea gigas, is one of the most important aquaculture shellfish resources worldwide. Important efforts have been undertaken towards a better knowledge of its genome and transcriptome, which makes now C. gigas becoming a model organism among lophotrochozoans, the under-described sister clade of ecdysozoans within protostomes. These massive sequencing efforts offer the opportunity to assemble gene expression data and make such resource accessible and exploitable for the scientific community. Therefore, we undertook this assembly into an up-to-date publicly available transcriptome database: the GigaTON (Gigas TranscriptOme pipeliNe) database. We assembled 2204 million sequences obtained from 114 publicly available RNA-seq libraries that were realized using all embryo-larval development stages, adult organs, different environmental stressors including heavy metals, temperature, salinity and exposure to air, which were mostly performed as part of the Crassostrea gigas genome project. This data was analyzed in silico and resulted into 56621 newly assembled contigs that were deposited into a publicly available database, the GigaTON database. This database also provides powerful and user-friendly request tools to browse and retrieve information about annotation, expression level, UTRs, splice and polymorphism, and gene ontology associated to all the contigs into each, and between all libraries. The GigaTON database provides a convenient, potent and versatile interface to browse, retrieve, confront and compare massive transcriptomic information in an extensive range of conditions, tissues and developmental stages in Crassostrea gigas. To our knowledge, the GigaTON database constitutes the most extensive transcriptomic database to date in marine invertebrates, thereby a new reference transcriptome in the oyster, a highly valuable resource to physiologists and evolutionary biologists.
Remembering faces and scenes: The mixed-category advantage in visual working memory.
Jiang, Yuhong V; Remington, Roger W; Asaad, Anthony; Lee, Hyejin J; Mikkalson, Taylor C
2016-09-01
We examined the mixed-category memory advantage for faces and scenes to determine how domain-specific cortical resources constrain visual working memory. Consistent with previous findings, visual working memory for a display of 2 faces and 2 scenes was better than that for a display of 4 faces or 4 scenes. This pattern was unaffected by manipulations of encoding duration. However, the mixed-category advantage was carried solely by faces: Memory for scenes was not better when scenes were encoded with faces rather than with other scenes. The asymmetry between faces and scenes was found when items were presented simultaneously or sequentially, centrally, or peripherally, and when scenes were drawn from a narrow category. A further experiment showed a mixed-category advantage in memory for faces and bodies, but not in memory for scenes and objects. The results suggest that unique category-specific interactions contribute significantly to the mixed-category advantage in visual working memory. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Three-Dimensional Anthropometric Database of Attractive Caucasian Women: Standards and Comparisons.
Galantucci, Luigi Maria; Deli, Roberto; Laino, Alberto; Di Gioia, Eliana; D'Alessio, Raoul; Lavecchia, Fulvio; Percoco, Gianluca; Savastano, Carmela
2016-10-01
The aim of this paper is to develop a database to determine a new biomorphometric standard of attractiveness. Sampling was carried out using noninvasive three-dimensional relief methods to measure the soft tissues of the face. These anthropometric measurements were analyzed to verify the existence of any canons with respect to shape, size, and measurement proportions which proved to be significant with regard to the aesthetics of the face. Finally, the anthropometric parameters obtained were compared with findings described in the international literature.The study sample was made up competitors in the Miss Italy 2010 and 2009 beauty contest. The three-dimensional (3D) scanning of soft tissue surfaces allowed 3D digital models of the faces and the spatial 3D coordinates of 25 anthropometric landmarks to be obtained and used to calculate linear and angular measurements. A paired Student t test for the analysis of the means allowed 3 key questions in the study of biomorphometric parameters of the face to be addressed through comparison with the data available in the literature.The question of statistical evidence for the samples analyzed being members of the populations samples reported in literature was also addressed.The critical analysis of the data helped to identify the anthropometric measurements of the upper, middle, and lower thirds of the face, variations in which have a major influence on the attractiveness of the face. These changes involve facial width, height, and depth. Changes in measurements of length, angles, and proportions found in the sample considered were also analyzed.
Ho, H S W
2012-12-01
To assess if a knowledge gap exists in the correct use of face masks, and to explore the correlations between knowledge, attitudes and practices regarding the use of face masks among outpatients and their caregivers in an outpatient clinic in Hong Kong. Cross-sectional study. Outpatients and their caregivers who were present at an outpatient setting in Hong Kong were invited to participate in this survey. All participants were asked to complete a self-administered closed-ended questionnaire about their knowledge, attitudes and practices regarding the use of face masks. Data were described using descriptive statistics and correlation coefficients. Among the 399 respondents, 52% knew the correct steps in wearing a face mask, and their attitudes toward face masks were generally positive. Further analyses showed that respondents were more likely to wear a face mask at a clinic than in a public place or at home. Moreover, respondents were more likely to wear a face mask to protect others against influenza-like illness (ILI) than for self-protection. There was low to moderate correlation between attitudes and practices (correlation coefficient 0.26, P < 0.05). This study identified a knowledge gap in the correct use of face masks among outpatients and their caregivers; attitudes and practices regarding the use of face masks were generally positive, but correlation was not high. It is recommended that public health education campaigns should tailor efficient programmes to combat ILI transmission among outpatient clinic populations by improving knowledge about the correct use of face masks. Copyright © 2012 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
Digital Equipment Corporation's CRDOM Software and Database Publications.
ERIC Educational Resources Information Center
Adams, Michael Q.
1986-01-01
Acquaints information professionals with Digital Equipment Corporation's compact optical disk read-only-memory (CDROM) search and retrieval software and growing library of CDROM database publications (COMPENDEX, Chemical Abstracts Services). Highlights include MicroBASIS, boolean operators, range operators, word and phrase searching, proximity…
PoMaMo--a comprehensive database for potato genome data.
Meyer, Svenja; Nagel, Axel; Gebhardt, Christiane
2005-01-01
A database for potato genome data (PoMaMo, Potato Maps and More) was established. The database contains molecular maps of all twelve potato chromosomes with about 1000 mapped elements, sequence data, putative gene functions, results from BLAST analysis, SNP and InDel information from different diploid and tetraploid potato genotypes, publication references, links to other public databases like GenBank (http://www.ncbi.nlm.nih.gov/) or SGN (Solanaceae Genomics Network, http://www.sgn.cornell.edu/), etc. Flexible search and data visualization interfaces enable easy access to the data via internet (https://gabi.rzpd.de/PoMaMo.html). The Java servlet tool YAMB (Yet Another Map Browser) was designed to interactively display chromosomal maps. Maps can be zoomed in and out, and detailed information about mapped elements can be obtained by clicking on an element of interest. The GreenCards interface allows a text-based data search by marker-, sequence- or genotype name, by sequence accession number, gene function, BLAST Hit or publication reference. The PoMaMo database is a comprehensive database for different potato genome data, and to date the only database containing SNP and InDel data from diploid and tetraploid potato genotypes.
PoMaMo—a comprehensive database for potato genome data
Meyer, Svenja; Nagel, Axel; Gebhardt, Christiane
2005-01-01
A database for potato genome data (PoMaMo, Potato Maps and More) was established. The database contains molecular maps of all twelve potato chromosomes with about 1000 mapped elements, sequence data, putative gene functions, results from BLAST analysis, SNP and InDel information from different diploid and tetraploid potato genotypes, publication references, links to other public databases like GenBank (http://www.ncbi.nlm.nih.gov/) or SGN (Solanaceae Genomics Network, http://www.sgn.cornell.edu/), etc. Flexible search and data visualization interfaces enable easy access to the data via internet (https://gabi.rzpd.de/PoMaMo.html). The Java servlet tool YAMB (Yet Another Map Browser) was designed to interactively display chromosomal maps. Maps can be zoomed in and out, and detailed information about mapped elements can be obtained by clicking on an element of interest. The GreenCards interface allows a text-based data search by marker-, sequence- or genotype name, by sequence accession number, gene function, BLAST Hit or publication reference. The PoMaMo database is a comprehensive database for different potato genome data, and to date the only database containing SNP and InDel data from diploid and tetraploid potato genotypes. PMID:15608284
Shepshelovich, D; Goldvaser, H; Wang, L; Abdul Razak, A R
2017-12-13
Introduction The role of phase I cancer trials is constantly evolving and they are increasingly being used in 'go/no' decisions in drug development. As a result, there is a growing need to ensure trials are published when completed. There are limited data on the publication rate and the factors associated with publication in phase I trials. Methods The ClinicalTrials.gov database was searched for completed adult phase I cancer trials with reported results. PubMed was searched for matching publications published prior to April 1, 2017. Logistic regression was used to identify factors associated with unpublished trials. Linear regression was used to explore factors associated with time lag from study database lock to publication for published trials. Results The study cohort included 319 trials. 95 (30%) trials had no matching publication. Thirty (9%) trials were not published in abstract form as well. On multivariable analysis, the most significant factor associated with unpublished trials was industry funding (odds ratio 3.3, 95% confidence interval 1.7-6.6, p=0.019). For published trials, time lag between database lock and publication was longer by 10.9 months (standard error 3.6, p<0.001) for industry funded trials compared with medical center funded trials. Conclusions Timely publishing of early cancer clinical trials results remains unsatisfactory. Industry funded phase I cancer trials were more likely to remain unpublished, and were associated with a longer time lag from database lock to publication. Policies that promote transparency and data sharing in clinical trial research might improve accountability among industry and investigators and improve timely results publication.
Automatic recognition of emotions from facial expressions
NASA Astrophysics Data System (ADS)
Xue, Henry; Gertner, Izidor
2014-06-01
In the human-computer interaction (HCI) process it is desirable to have an artificial intelligent (AI) system that can identify and categorize human emotions from facial expressions. Such systems can be used in security, in entertainment industries, and also to study visual perception, social interactions and disorders (e.g. schizophrenia and autism). In this work we survey and compare the performance of different feature extraction algorithms and classification schemes. We introduce a faster feature extraction method that resizes and applies a set of filters to the data images without sacrificing the accuracy. In addition, we have enhanced SVM to multiple dimensions while retaining the high accuracy rate of SVM. The algorithms were tested using the Japanese Female Facial Expression (JAFFE) Database and the Database of Faces (AT&T Faces).
Integrating image quality in 2nu-SVM biometric match score fusion.
Vatsa, Mayank; Singh, Richa; Noore, Afzel
2007-10-01
This paper proposes an intelligent 2nu-support vector machine based match score fusion algorithm to improve the performance of face and iris recognition by integrating the quality of images. The proposed algorithm applies redundant discrete wavelet transform to evaluate the underlying linear and non-linear features present in the image. A composite quality score is computed to determine the extent of smoothness, sharpness, noise, and other pertinent features present in each subband of the image. The match score and the corresponding quality score of an image are fused using 2nu-support vector machine to improve the verification performance. The proposed algorithm is experimentally validated using the FERET face database and the CASIA iris database. The verification performance and statistical evaluation show that the proposed algorithm outperforms existing fusion algorithms.
A Novel Approach: Chemical Relational Databases, and the ...
Mutagenicity and carcinogenicity databases are crucial resources for toxicologists and regulators involved in chemicals risk assessment. Until recently, existing public toxicity databases have been constructed primarily as
Reducing and Analyzing the PHAT Survey with the Cloud
NASA Astrophysics Data System (ADS)
Williams, Benjamin F.; Olsen, Knut; Khan, Rubab; Pirone, Daniel; Rosema, Keith
2018-05-01
We discuss the technical challenges we faced and the techniques we used to overcome them when reducing the Panchromatic Hubble Andromeda Treasury (PHAT) photometric data set on the Amazon Elastic Compute Cloud (EC2). We first describe the architecture of our photometry pipeline, which we found particularly efficient for reducing the data in multiple ways for different purposes. We then describe the features of EC2 that make this architecture both efficient to use and challenging to implement. We describe the techniques we adopted to process our data, and suggest ways these techniques may be improved for those interested in trying such reductions in the future. Finally, we summarize the output photometry data products, which are now hosted publicly in two places in two formats. They are in simple fits tables in the high-level science products on MAST, and on a queryable database available through the NOAO Data Lab.
Sleeping money: investigating the huge surpluses of social health insurance in China.
Liu, JunQiang; Chen, Tao
2013-12-01
The spreading of social health insurance (SHI) worldwide poses challenges for fledging public administrators. Inefficiency, misuse and even corruption threaten the stewardship of those newly established health funds. This article examines a tricky situation faced by China's largest SHI program: the basic health insurance (BHI) scheme for urban employees. BHI accumulated a 406 billion yuan surplus by 2009, although the reimbursement level was still low. Using a provincial level panel database, we find that the huge BHI surpluses are related to the (temporarily) decreasing dependency ratio, the steady growth of average wages, the extension of BHI coverage, and progress in social insurance agency building. The financial situations of local governments and risk pooling level also matter. Besides, medical savings accounts result in about one third of BHI surpluses. Although these findings are not causal, lessons drawn from this study can help to improve the governance and performance of SHI programs in developing countries.
Elnitsky, Christine A; Kilmer, Ryan P
2017-01-01
As service members return from active duty and, in some cases, exit the military, they face a process of reintegration (also referred to as community reintegration) as they seek to resume participation in their life roles as civilians. Facilitating this dynamic process of reintegration for service members, veterans, and their families-including outlining potential strategies for supporting this return to civilian life and its demands, roles, and responsibilities-is the focus of this Special Issue. Reintegration has been framed as a national priority (U.S. Department of Veterans Affairs, 2015) and has been a point of emphasis of efforts at federal, state, and local levels. As the articles in this issue suggest, multiple public, private, and voluntary systems and the communities to which service members, veterans, and their families return can help influence their health outcomes and, ultimately, their reintegration. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
[Ethical problems experienced by nurses in primary health care: integrative literature review].
Nora, Carlise Rigon Dalla; Zoboli, Elma Lourdes Campos Pavone; Vieira, Margarida
2015-03-01
The aim of this study is to identify ethical problems experienced by nurses in primary health care and resources for coping based on publications on the subject. An integrative literature review was performed between the months of October and November 2013, using the databases: BDTD, CINAHL, LILACS, MEDLINE, Biblioteca Cochrane, PubMed, RCAAP and SciELO. Articles, dissertations and theses published in Portuguese, English and Spanish were included, totalling 31 studies published from 1992 to 2013. This analysis resulted in four categories: ethical problems in the relationship between team members, ethical problems in the relationship with the user, ethical problems in health services management and resources for coping with ethical problems. Results showed that nurses need to be prepared to face ethical problems, emphasizing the importance of ethics education during the education process before and during professional practice to enhance the development of ethical sensitivity and competence for problem resolution.
The Effects of Signal Erosion and Core Genome Reduction on the Identification of Diagnostic Markers
2016-09-20
31 diagnostics for the identification of bacterial pathogens. To do this effectively, 32 genomics databases must be comprehensive to identify the...diverse B. 118 pseudomallei/mallei strains were sequenced, assembled, and deposited in public 119 databases (Supplemental Table 1); these genomes were...combined with 160 B. 120 pseudomallei/mallei genome assemblies already in public databases . Most of the 121 genomes (n=779) in this study were
TNAURice: Database on rice varieties released from Tamil Nadu Agricultural University
Ramalingam, Jegadeesan; Arul, Loganathan; Sathishkumar, Natarajan; Vignesh, Dhandapani; Thiyagarajan, Katiannan; Samiyappan, Ramasamy
2010-01-01
We developed, TNAURice: a database comprising of the rice varieties released from a public institution, Tamil Nadu Agricultural University (TNAU), Coimbatore, India. Backed by MS-SQL, and ASP-Net at the front end, this database provide information on both quantitative and qualitative descriptors of the rice varities inclusive of their parental details. Enabled by an user friendly search utility, the database can be effectively searched by the varietal descriptors, and the entire contents are navigable as well. The database comes handy to the plant breeders involved in the varietal improvement programs to decide on the choice of parental lines. TNAURice is available for public access at http://www.btistnau.org/germdefault.aspx. PMID:21364829
TNAURice: Database on rice varieties released from Tamil Nadu Agricultural University.
Ramalingam, Jegadeesan; Arul, Loganathan; Sathishkumar, Natarajan; Vignesh, Dhandapani; Thiyagarajan, Katiannan; Samiyappan, Ramasamy
2010-11-27
WE DEVELOPED, TNAURICE: a database comprising of the rice varieties released from a public institution, Tamil Nadu Agricultural University (TNAU), Coimbatore, India. Backed by MS-SQL, and ASP-Net at the front end, this database provide information on both quantitative and qualitative descriptors of the rice varities inclusive of their parental details. Enabled by an user friendly search utility, the database can be effectively searched by the varietal descriptors, and the entire contents are navigable as well. The database comes handy to the plant breeders involved in the varietal improvement programs to decide on the choice of parental lines. TNAURice is available for public access at http://www.btistnau.org/germdefault.aspx.
Wright, T.L.; Takahashi, T.J.
1998-01-01
The Hawaii bibliographic database has been created to contain all of the literature, from 1779 to the present, pertinent to the volcanological history of the Hawaiian-Emperor volcanic chain. References are entered in a PC- and Macintosh-compatible EndNote Plus bibliographic database with keywords and abstracts or (if no abstract) with annotations as to content. Keywords emphasize location, discipline, process, identification of new chemical data or age determinations, and type of publication. The database is updated approximately three times a year and is available to upload from an ftp site. The bibliography contained 8460 references at the time this paper was submitted for publication. Use of the database greatly enhances the power and completeness of library searches for anyone interested in Hawaiian volcanism.
Li, Yuan Hang; Tottenham, Nim
2013-04-01
A growing literature suggests that the self-face is involved in processing the facial expressions of others. The authors experimentally activated self-face representations to assess its effects on the recognition of dynamically emerging facial expressions of others. They exposed participants to videos of either their own faces (self-face prime) or faces of others (nonself-face prime) prior to a facial expression judgment task. Their results show that experimentally activating self-face representations results in earlier recognition of dynamically emerging facial expression. As a group, participants in the self-face prime condition recognized expressions earlier (when less affective perceptual information was available) compared to participants in the nonself-face prime condition. There were individual differences in performance, such that poorer expression identification was associated with higher autism traits (in this neurocognitively healthy sample). However, when randomized into the self-face prime condition, participants with high autism traits performed as well as those with low autism traits. Taken together, these data suggest that the ability to recognize facial expressions in others is linked with the internal representations of our own faces. PsycINFO Database Record (c) 2013 APA, all rights reserved.
Energy conservation using face detection
NASA Astrophysics Data System (ADS)
Deotale, Nilesh T.; Kalbande, Dhananjay R.; Mishra, Akassh A.
2011-10-01
Computerized Face Detection, is concerned with the difficult task of converting a video signal of a person to written text. It has several applications like face recognition, simultaneous multiple face processing, biometrics, security, video surveillance, human computer interface, image database management, digital cameras use face detection for autofocus, selecting regions of interest in photo slideshows that use a pan-and-scale and The Present Paper deals with energy conservation using face detection. Automating the process to a computer requires the use of various image processing techniques. There are various methods that can be used for Face Detection such as Contour tracking methods, Template matching, Controlled background, Model based, Motion based and color based. Basically, the video of the subject are converted into images are further selected manually for processing. However, several factors like poor illumination, movement of face, viewpoint-dependent Physical appearance, Acquisition geometry, Imaging conditions, Compression artifacts makes Face detection difficult. This paper reports an algorithm for conservation of energy using face detection for various devices. The present paper suggests Energy Conservation can be done by Detecting the Face and reducing the brightness of complete image and then adjusting the brightness of the particular area of an image where the face is located using histogram equalization.
The Protein Information Resource: an integrated public resource of functional annotation of proteins
Wu, Cathy H.; Huang, Hongzhan; Arminski, Leslie; Castro-Alvear, Jorge; Chen, Yongxing; Hu, Zhang-Zhi; Ledley, Robert S.; Lewis, Kali C.; Mewes, Hans-Werner; Orcutt, Bruce C.; Suzek, Baris E.; Tsugita, Akira; Vinayaka, C. R.; Yeh, Lai-Su L.; Zhang, Jian; Barker, Winona C.
2002-01-01
The Protein Information Resource (PIR) serves as an integrated public resource of functional annotation of protein data to support genomic/proteomic research and scientific discovery. The PIR, in collaboration with the Munich Information Center for Protein Sequences (MIPS) and the Japan International Protein Information Database (JIPID), produces the PIR-International Protein Sequence Database (PSD), the major annotated protein sequence database in the public domain, containing about 250 000 proteins. To improve protein annotation and the coverage of experimentally validated data, a bibliography submission system is developed for scientists to submit, categorize and retrieve literature information. Comprehensive protein information is available from iProClass, which includes family classification at the superfamily, domain and motif levels, structural and functional features of proteins, as well as cross-references to over 40 biological databases. To provide timely and comprehensive protein data with source attribution, we have introduced a non-redundant reference protein database, PIR-NREF. The database consists of about 800 000 proteins collected from PIR-PSD, SWISS-PROT, TrEMBL, GenPept, RefSeq and PDB, with composite protein names and literature data. To promote database interoperability, we provide XML data distribution and open database schema, and adopt common ontologies. The PIR web site (http://pir.georgetown.edu/) features data mining and sequence analysis tools for information retrieval and functional identification of proteins based on both sequence and annotation information. The PIR databases and other files are also available by FTP (ftp://nbrfa.georgetown.edu/pir_databases). PMID:11752247
Energy in the urban environment. Proceedings of the 22. annual Illinois energy conference
DOE Office of Scientific and Technical Information (OSTI.GOV)
NONE
1994-12-31
The conference addressed the energy and environmental challenges facing large metropolitan areas. The topics included a comparison of the environmental status of cities twenty years ago with the challenges facing today`s large cities, sustainable economic development, improving the energy and environmental infrastructure, and the changing urban transportation sector. Selected papers are indexed separately for inclusion in the Energy Science and Technology Database.
Massively-Parallel Architectures for Automatic Recognition of Visual Speech Signals
1988-10-12
Secusrity Clamifieation, Nlassively-Parallel Architectures for Automa ic Recognitio of Visua, Speech Signals 12. PERSONAL AUTHOR(S) Terrence J...characteristics of speech from tJhe, visual speech signals. Neural networks have been trained on a database of vowels. The rqw images of faces , aligned and...images of faces , aligned and preprocessed, were used as input to these network which were trained to estimate the corresponding envelope of the
A self-organized learning strategy for object recognition by an embedded line of attraction
NASA Astrophysics Data System (ADS)
Seow, Ming-Jung; Alex, Ann T.; Asari, Vijayan K.
2012-04-01
For humans, a picture is worth a thousand words, but to a machine, it is just a seemingly random array of numbers. Although machines are very fast and efficient, they are vastly inferior to humans for everyday information processing. Algorithms that mimic the way the human brain computes and learns may be the solution. In this paper we present a theoretical model based on the observation that images of similar visual perceptions reside in a complex manifold in an image space. The perceived features are often highly structured and hidden in a complex set of relationships or high-dimensional abstractions. To model the pattern manifold, we present a novel learning algorithm using a recurrent neural network. The brain memorizes information using a dynamical system made of interconnected neurons. Retrieval of information is accomplished in an associative sense. It starts from an arbitrary state that might be an encoded representation of a visual image and converges to another state that is stable. The stable state is what the brain remembers. In designing a recurrent neural network, it is usually of prime importance to guarantee the convergence in the dynamics of the network. We propose to modify this picture: if the brain remembers by converging to the state representing familiar patterns, it should also diverge from such states when presented with an unknown encoded representation of a visual image belonging to a different category. That is, the identification of an instability mode is an indication that a presented pattern is far away from any stored pattern and therefore cannot be associated with current memories. These properties can be used to circumvent the plasticity-stability dilemma by using the fluctuating mode as an indicator to create new states. We capture this behavior using a novel neural architecture and learning algorithm, in which the system performs self-organization utilizing a stability mode and an instability mode for the dynamical system. Based on this observation we developed a self- organizing line attractor, which is capable of generating new lines in the feature space to learn unrecognized patterns. Experiments performed on UMIST pose database and CMU face expression variant database for face recognition have shown that the proposed nonlinear line attractor is able to successfully identify the individuals and it provided better recognition rate when compared to the state of the art face recognition techniques. Experiments on FRGC version 2 database has also provided excellent recognition rate in images captured in complex lighting environments. Experiments performed on the Japanese female face expression database and Essex Grimace database using the self organizing line attractor have also shown successful expression invariant face recognition. These results show that the proposed model is able to create nonlinear manifolds in a multidimensional feature space to distinguish complex patterns.
ERIC Educational Resources Information Center
Molina, Enzo
1986-01-01
Use of online bibliographic databases in Mexico is provided through Servicio de Consulta a Bancos de Informacion, a public service that provides information retrieval, document delivery, translation, technical support, and training services. Technical infrastructure is based on a public packet-switching network and institutional users may receive…
Village Green Project: Web-accessible Database
The purpose of this web-accessible database is for the public to be able to view instantaneous readings from a solar-powered air monitoring station located in a public location (prototype pilot test is outside of a library in Durham County, NC). The data are wirelessly transmitte...
BioQ: tracing experimental origins in public genomic databases using a novel data provenance model
Saccone, Scott F.; Quan, Jiaxi; Jones, Peter L.
2012-01-01
Motivation: Public genomic databases, which are often used to guide genetic studies of human disease, are now being applied to genomic medicine through in silico integrative genomics. These databases, however, often lack tools for systematically determining the experimental origins of the data. Results: We introduce a new data provenance model that we have implemented in a public web application, BioQ, for assessing the reliability of the data by systematically tracing its experimental origins to the original subjects and biologics. BioQ allows investigators to both visualize data provenance as well as explore individual elements of experimental process flow using precise tools for detailed data exploration and documentation. It includes a number of human genetic variation databases such as the HapMap and 1000 Genomes projects. Availability and implementation: BioQ is freely available to the public at http://bioq.saclab.net Contact: ssaccone@wustl.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:22426342
Pithon, Matheus Melo; Ferraz, Caio Sousa; de Oliveira, Gabriel Couto; Dos Santos, Adrielle Mangabeira; Couto, Felipe Santos; da Silva Coqueiro, Raildo; Dos Santos, Rogério Lacerda
2013-01-01
The purpose was to evaluate the esthetic perception among children from public and private schools regarding the use of different types of face masks. Six different types of orthopedic face masks made from images of the same patient were evaluated. Initially, the images were standardized with the help of Adobe Photoshop software. The variable considered was type of mask: (A) Delaire with facebow; (B) Petit; (C) Delaire; (D)Turley; (E) Hickham; and (F) Sky Hook. The images were printed on photographic paper and incorporated into a specific personalized questionnaire that was distributed to 7- to 10-year-olds attending public and private schools (n=120). The data obtained were compared via chi-square, Fisher's exact tests, Mann-Whitney and Spearman's tests. The proportion of participants who chose image A as the best was significantly higher (P<.05) compared to the other masks. Images B and F were chosen as the worst, without a significant difference between them (P>.05). The mean scores between groups were not significantly correlated between private vs public schoolchildren (r=0.32) and between boys and girls (r=0.41). Delaire face mask with facebow was chosen as the most attractive, and the Petit and Sky Hook face masks were voted the least attractive.
ERIC Educational Resources Information Center
Mahfoodh, Omer Hassan Ali
2014-01-01
This paper reports a qualitative study which examines the challenges faced by six international undergraduate students in their socialisation of oral academic discourse in a Malaysian public university. Data were collected employing interviews. Students' presentations were also collected. Semi-structured interviews were transcribed verbatim and…
Playing the City: Public Participation in a Contested Suburban Area
ERIC Educational Resources Information Center
Lauwaert, Maaike
2009-01-01
This article presents one case study of public participation in urban planning: the "Face Your World" project that took place in 2005 in the suburban area of Slotervaart, close to the Dutch city of Amsterdam. "Face Your World" was a participation project that aimed at engaging both younger and immigrant inhabitants of…
ERIC Educational Resources Information Center
Kwadzo, Moses
2014-01-01
This study explores international students' experiences with studying and working at a North Eastern public university. Through phenomenological research approach that utilized face-to-face interview and photo-elicitation techniques, the personal experiences of twenty international students were captured. The findings of this study indicated that…
An Operational Commander’s Guide to Contractors on the Battlefield
2007-05-10
Operational Law Handbook, Charlottesville, VA: 2005, 145. 12 R. R. Vernon, “Battlefield Contractors: Facing Tough Issues,” Public Contract Law Journal...Operations. Joint Pub 4-0. Washington, DC: 6 April 2000. Vernon, R. R. “Battlefield Contractors: Facing Tough Issues.” Public Contract Law Journal, Vol. 33 (Winter 2004): 404-421.
Lost in Translation: Adapting a Face-to-Face Course Into an Online Learning Experience.
Kenzig, Melissa J
2015-09-01
Online education has grown dramatically over the past decade. Instructors who teach face-to-face courses are being called on to adapt their courses to the online environment. Many instructors do not have sufficient training to be able to effectively move courses to an online format. This commentary discusses the growth of online learning, common challenges faced by instructors adapting courses from face-to-face to online, and best practices for translating face-to-face courses into online learning opportunities. © 2015 Society for Public Health Education.
Rocha, Vania; Ximenes, Elisa Francioli; Carvalho, Mauren Lopes de; Alpino, Tais de Moura Ariza; Freitas, Carlos Machado de
2014-09-01
In the specialized database of the Virtual Health Library (VHL), the DISASTER database highlights the importance of the theme for the health sector. The scope of this article is to identify the profiles of technical and scientific publications in the specialized database. Based on systematic searches and the analysis of results it is possible to determine: the type of publication; the main topics addressed; the most common type of disasters mentioned in published materials, countries and regions as subjects, historic periods with the most publications and the current trend of publications. When examining the specialized data in detail, it soon becomes clear that the number of major topics is very high, making a specific search process in this database a challenging exercise. On the other hand, it is encouraging that the disaster topic is discussed and assessed in a broad and diversified manner, associated with different aspects of the natural and social sciences. The disaster issue requires the production of interdisciplinary knowledge development to reduce the impacts of disasters and for risk management. In this way, since the health sector is a interdisciplinary area, it can contribute to knowledge production.
The Alaska Volcano Observatory Website a Tool for Information Management and Dissemination
NASA Astrophysics Data System (ADS)
Snedigar, S. F.; Cameron, C. E.; Nye, C. J.
2006-12-01
The Alaska Volcano Observatory's (AVO's) website served as a primary information management tool during the 2006 eruption of Augustine Volcano. The AVO website is dynamically generated from a database back- end. This system enabled AVO to quickly and easily update the website, and provide content based on user- queries to the database. During the Augustine eruption, the new AVO website was heavily used by members of the public (up to 19 million hits per day), and this was largely because the AVO public pages were an excellent source of up-to-date information. There are two different, yet fully integrated parts of the website. An external, public site (www.avo.alaska.edu) allows the general public to track eruptive activity by viewing the latest photographs, webcam images, webicorder graphs, and official information releases about activity at the volcano, as well as maps, previous eruption information, bibliographies, and rich information about other Alaska volcanoes. The internal half of the website hosts diverse geophysical and geological data (as browse images) in a format equally accessible by AVO staff in different locations. In addition, an observation log allows users to enter information about anything from satellite passes to seismic activity to ash fall reports into a searchable database. The individual(s) on duty at the watch office use forms on the internal website to post a summary of the latest activity directly to the public website, ensuring that the public website is always up to date. The internal website also serves as a starting point for monitoring Alaska's volcanoes. AVO's extensive image database allows AVO personnel to upload many photos, diagrams, and videos which are then available to be browsed by anyone in the AVO community. Selected images are viewable from the public page. The primary webserver is housed at the University of Alaska Fairbanks, and holds a MySQL database with over 200 tables and several thousand lines of php code gluing the database and website together. The database currently holds 95 GB of data. Webcam images and webicorder graphs are pulled from servers in Anchorage every few minutes. Other servers in Fairbanks generate earthquake location plots and spectrograms.
Joint Sparse Representation for Robust Multimodal Biometrics Recognition
2014-01-01
comprehensive multimodal dataset and a face database are described in section V. Finally, in section VI, we discuss the computational complexity of...fingerprint, iris, palmprint , hand geometry and voice from subjects of different age, gender and ethnicity as described in Table I. It is a...Taylor, “Constructing nonlinear discriminants from multiple data views,” Machine Learning and Knowl- edge Discovery in Databases , pp. 328–343, 2010
NASA Technical Reports Server (NTRS)
1996-01-01
Topics considered include: New approach to turbulence modeling; Second moment closure analysis of the backstep flow database; Prediction of the backflow and recovery regions in the backward facing step at various Reynolds numbers; Turbulent flame propagation in partially premixed flames; Ensemble averaged dynamic modeling. Also included a study of the turbulence structures of wall-bounded shear flows; Simulation and modeling of the elliptic streamline flow.
NASA Astrophysics Data System (ADS)
Thibault, K. M.
2013-12-01
As the construction of NEON and its transition to operations progresses, more and more data will become available to the scientific community, both from NEON directly and from the concomitant growth of existing data repositories. Many of these datasets include ecological observations of a diversity of taxa in both aquatic and terrestrial environments. Although observational data have been collected and used throughout the history of organismal biology, the field has not yet fully developed a culture of data management, documentation, standardization, sharing and discoverability to facilitate the integration and synthesis of datasets. Moreover, the tools required to accomplish these goals, namely database design, implementation, and management, and automation and parallelization of analytical tasks through computational techniques, have not historically been included in biology curricula, at either the undergraduate or graduate levels. To ensure the success of data-generating projects like NEON in advancing organismal ecology and to increase transparency and reproducibility of scientific analyses, an acceleration of the cultural shift to open science practices, the development and adoption of data standards, such as the DarwinCore standard for taxonomic data, and increased training in computational approaches for biologists need to be realized. Here I highlight several initiatives that are intended to increase access to and discoverability of publicly available datasets and equip biologists and other scientists with the skills that are need to manage, integrate, and analyze data from multiple large-scale projects. The EcoData Retriever (ecodataretriever.org) is a tool that downloads publicly available datasets, re-formats the data into an efficient relational database structure, and then automatically imports the data tables onto a user's local drive into the database tool of the user's choice. The automation of these tasks results in nearly instantaneous execution of tasks that previously required hours to days of each data user's time, with decreased error rates and increased useability of the data. The Ecological Data wiki (ecologicaldata.org) provides a forum for users of ecological datasets to share relevant metadata and tips and tricks for using the data, in order to flatten learning curves, as well as minimize redundancy of efforts among users of the same datasets. Finally, Software Carpentry (software-carpentry.org) has developed curricula for scientific computing and provides both online training and low cost, short courses that can be tailored to the specific needs of the students. Demand for these courses has been increasing exponentially in recent years, and represent a significant educational resource for biologists. I will conclude by linking these initiatives to the challenges facing ecologists related to the effective and efficient exploitation of NEON's diverse data streams.
Quality control of EUVE databases
NASA Technical Reports Server (NTRS)
John, L. M.; Drake, J.
1992-01-01
The publicly accessible databases for the Extreme Ultraviolet Explorer include: the EUVE Archive mailserver; the CEA ftp site; the EUVE Guest Observer Mailserver; and the Astronomical Data System node. The EUVE Performance Assurance team is responsible for verifying that these public EUVE databases are working properly, and that the public availability of EUVE data contained therein does not infringe any data rights which may have been assigned. In this poster, we describe the Quality Assurance (QA) procedures we have developed from the approach of QA as a service organization, thus reflecting the overall EUVE philosophy of Quality Assurance integrated into normal operating procedures, rather than imposed as an external, post facto, control mechanism.
Adaptive non-local smoothing-based weberface for illumination-insensitive face recognition
NASA Astrophysics Data System (ADS)
Yao, Min; Zhu, Changming
2017-07-01
Compensating the illumination of a face image is an important process to achieve effective face recognition under severe illumination conditions. This paper present a novel illumination normalization method which specifically considers removing the illumination boundaries as well as reducing the regional illumination. We begin with the analysis of the commonly used reflectance model and then expatiate the hybrid usage of adaptive non-local smoothing and the local information coding based on Weber's law. The effectiveness and advantages of this combination are evidenced visually and experimentally. Results on Extended YaleB database show its better performance than several other famous methods.
Improvement of Janus Using Pegasus 1-Meter Resolution Database With a Transputer Network
1994-03-01
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Low-level image properties in facial expressions.
Menzel, Claudia; Redies, Christoph; Hayn-Leichsenring, Gregor U
2018-06-04
We studied low-level image properties of face photographs and analyzed whether they change with different emotional expressions displayed by an individual. Differences in image properties were measured in three databases that depicted a total of 167 individuals. Face images were used either in their original form, cut to a standard format or superimposed with a mask. Image properties analyzed were: brightness, redness, yellowness, contrast, spectral slope, overall power and relative power in low, medium and high spatial frequencies. Results showed that image properties differed significantly between expressions within each individual image set. Further, specific facial expressions corresponded to patterns of image properties that were consistent across all three databases. In order to experimentally validate our findings, we equalized the luminance histograms and spectral slopes of three images from a given individual who showed two expressions. Participants were significantly slower in matching the expression in an equalized compared to an original image triad. Thus, existing differences in these image properties (i.e., spectral slope, brightness or contrast) facilitate emotion detection in particular sets of face images. Copyright © 2018. Published by Elsevier B.V.
SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases.
Schweiger, Dominik; Trajanoski, Zlatko; Pabinger, Stephan
2014-08-15
Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way. SPARQLGraph offers an intuitive drag & drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers. This new graphical way of creating queries for biological Semantic Web databases considerably facilitates usability as it removes the requirement of knowing specific query languages and database structures. The system is freely available at http://sparqlgraph.i-med.ac.at.
NASA Astrophysics Data System (ADS)
Garrett, C. L.
2006-12-01
Each day, people in the communities of the Arctic face challenges to their health and well-being from changing climatic and environmental conditions and increasing levels of pollution to emerging infectious diseases. For this reason, it is critical that Arctic researchers and residents have access to timely, accurate, and relevant information addressing their unique concerns. To meet this need, the National Library of Medicine (NLM) and the University of Alaska Anchorage (UAA) have developed the Arctic Health website, www.arctichealth.org. The website provides an easy-to-use one-stop shop for information on the diverse health-related aspects of the Arctic region. It is organized around relevant topics, including climate change and environmental health, traditional healing and telehealth/telemedicine. The Arctic Health website provides links to the most reliable resources available from local, state, and international agencies, universities, and professional organizations. Two major goals of the site are to create a comprehensive, accessible repository for various media and a listing of research projects, past and present that relate to climate change and human health in the Arctic. To increase the site's relevance, the project has established and continues to create collaborations with researchers, communities, and other organizations to supply publications not available elsewhere, including gray literature, streaming video of traditional healers, and oral histories. These collaborations will also help ensure a database with a comprehensive list of research projects being done in the Arctic, from the international to the local level. Finding ways to negotiate the legal, cultural and national concerns of data sharing are a continuing job for the management team. All of this helps to create a system that will eventually track and ensure that data and reports from the research database translate to the publications database. As part of these efforts, the site is hosting the Arctic Human Health Initiative (AHHI), the human health focus of the International Polar Year activities. AHHI will coordinate research in the areas of infectious disease; the effects of anthropogenic pollution, UV radiation, and climate variability on human health; and telehealth innovations. A major goal of AHHI is the better integration of the findings of Arctic health research through outreach programs and public education.
Davies, Sheryl; Schultz, Ellen; Raven, Maria; Wang, Nancy Ewen; Stocks, Carol L; Delgado, Mucio Kit; McDonald, Kathryn M
2017-10-01
To develop and validate rates of potentially preventable emergency department (ED) visits as indicators of community health. Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project 2008-2010 State Inpatient Databases and State Emergency Department Databases. Empirical analyses and structured panel reviews. Panels of 14-17 clinicians and end users evaluated a set of ED Prevention Quality Indicators (PQIs) using a Modified Delphi process. Empirical analyses included assessing variation in ED PQI rates across counties and sensitivity of those rates to county-level poverty, uninsurance, and density of primary care physicians (PCPs). ED PQI rates varied widely across U.S. communities. Indicator rates were significantly associated with county-level poverty, median income, Medicaid insurance, and levels of uninsurance. A few indicators were significantly associated with PCP density, with higher rates in areas with greater density. A clinical and an end-user panel separately rated the indicators as having strong face validity for most uses evaluated. The ED PQIs have undergone initial validation as indicators of community health with potential for use in public reporting, population health improvement, and research. © Health Research and Educational Trust.
Holistic processing of face configurations and components.
Hayward, William G; Crookes, Kate; Chu, Ming Hon; Favelle, Simone K; Rhodes, Gillian
2016-10-01
Although many researchers agree that faces are processed holistically, we know relatively little about what information holistic processing captures from a face. Most studies that assess the nature of holistic processing do so with changes to the face affecting many different aspects of face information (e.g., different identities). Does holistic processing affect every aspect of a face? We used the composite task, a common means of examining the strength of holistic processing, with participants making same-different judgments about configuration changes or component changes to 1 portion of a face. Configuration changes involved changes in spatial position of the eyes, whereas component changes involved lightening or darkening the eyebrows. Composites were either aligned or misaligned, and were presented either upright or inverted. Both configuration judgments and component judgments showed evidence of holistic processing, and in both cases it was strongest for upright face composites. These results suggest that holistic processing captures a broad range of information about the face, including both configuration-based and component-based information. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Performance evaluation of no-reference image quality metrics for face biometric images
NASA Astrophysics Data System (ADS)
Liu, Xinwei; Pedersen, Marius; Charrier, Christophe; Bours, Patrick
2018-03-01
The accuracy of face recognition systems is significantly affected by the quality of face sample images. The recent established standardization proposed several important aspects for the assessment of face sample quality. There are many existing no-reference image quality metrics (IQMs) that are able to assess natural image quality by taking into account similar image-based quality attributes as introduced in the standardization. However, whether such metrics can assess face sample quality is rarely considered. We evaluate the performance of 13 selected no-reference IQMs on face biometrics. The experimental results show that several of them can assess face sample quality according to the system performance. We also analyze the strengths and weaknesses of different IQMs as well as why some of them failed to assess face sample quality. Retraining an original IQM by using face database can improve the performance of such a metric. In addition, the contribution of this paper can be used for the evaluation of IQMs on other biometric modalities; furthermore, it can be used for the development of multimodality biometric IQMs.
HEDS - EPA DATABASE SYSTEM FOR PUBLIC ACCESS TO HUMAN EXPOSURE DATA
Human Exposure Database System (HEDS) is an Internet-based system developed to provide public access to human-exposure-related data from studies conducted by EPA's National Exposure Research Laboratory (NERL). HEDS was designed to work with the EPA Office of Research and Devel...
Ice Stories: Engaging Polar Scientists as Field Correspondents for IPY
NASA Astrophysics Data System (ADS)
Miller, M. K.
2006-12-01
The International Polar Year (IPY 2007-09) gives the public, teachers, and students an extraordinary opportunity to experience the process of scientific discovery in action. The Exploratorium, working in partnership with international scientists at both poles, will create educational resources for museum and online visitors that celebrate life, legacy and science in the world's polar regions. In this session, Senior Science Producer Mary Miller will discuss the Exploratorium's proposed IPY project, Ice Stories. This unique educational project will provide a public face for IPY by using the power of contemporary media to bring current research to mass audiences with unprecedented intimacy and immediacy. Ice Stories includes: a media-rich, dynamic and continuously updated public Web site; a media-assets database for journalists, media producers, educators, and museum partners; a training program in media production and story-telling for polar scientists Ice Stories provides the public with access to IPY research through the development of a network of Exploratorium-trained polar field correspondents. It makes use of the design, education and production capacity of an informal science center to create a bridge between scientific discovery and interested members of the public. Ice Stories employs sophisticated media production and communication technology as well as strong partnerships with allied research groups and with scientists and international organizations at the poles. The Exploratorium has pioneered in translating current science research into exhibits and presentations accessible to museum and Web audiences. It also has long experience creating award-winning Web sites, professional-development workshops, community outreach, and institutional alliances.
NASA STI Database, Aerospace Database and ARIN coverage of 'space law'
NASA Technical Reports Server (NTRS)
Buchan, Ronald L.
1992-01-01
The space-law coverage provided by the NASA STI Database, the Aerospace Database, and ARIN is briefly described. Particular attention is given to the space law content of the two Databases and of ARIN, the NASA Thesauras space law terminology, space law publication forms, and the availability of the space law literature.
MetPetDB: A database for metamorphic geochemistry
NASA Astrophysics Data System (ADS)
Spear, Frank S.; Hallett, Benjamin; Pyle, Joseph M.; Adalı, Sibel; Szymanski, Boleslaw K.; Waters, Anthony; Linder, Zak; Pearce, Shawn O.; Fyffe, Matthew; Goldfarb, Dennis; Glickenhouse, Nickolas; Buletti, Heather
2009-12-01
We present a data model for the initial implementation of MetPetDB, a geochemical database specific to metamorphic rock samples. The database is designed around the concept of preservation of spatial relationships, at all scales, of chemical analyses and their textural setting. Objects in the database (samples) represent physical rock samples; each sample may contain one or more subsamples with associated geochemical and image data. Samples, subsamples, geochemical data, and images are described with attributes (some required, some optional); these attributes also serve as search delimiters. All data in the database are classified as published (i.e., archived or published data), public or private. Public and published data may be freely searched and downloaded. All private data is owned; permission to view, edit, download and otherwise manipulate private data may be granted only by the data owner; all such editing operations are recorded by the database to create a data version log. The sharing of data permissions among a group of collaborators researching a common sample is done by the sample owner through the project manager. User interaction with MetPetDB is hosted by a web-based platform based upon the Java servlet application programming interface, with the PostgreSQL relational database. The database web portal includes modules that allow the user to interact with the database: registered users may save and download public and published data, upload private data, create projects, and assign permission levels to project collaborators. An Image Viewer module provides for spatial integration of image and geochemical data. A toolkit consisting of plotting and geochemical calculation software for data analysis and a mobile application for viewing the public and published data is being developed. Future issues to address include population of the database, integration with other geochemical databases, development of the analysis toolkit, creation of data models for derivative data, and building a community-wide user base. It is believed that this and other geochemical databases will enable more productive collaborations, generate more efficient research efforts, and foster new developments in basic research in the field of solid earth geochemistry.
Ricin poisoning: a comprehensive review.
Audi, Jennifer; Belson, Martin; Patel, Manish; Schier, Joshua; Osterloh, John
2005-11-09
The recent discoveries of ricin, a deadly biologic toxin, at a South Carolina postal facility, a White House mail facility, and a US senator's office has raised concerns among public health officials, physicians, and citizens. Ricin is one of the most potent and lethal substances known, particularly when inhaled. The ease with which the native plant (Ricinus communis) can be obtained and the toxin extracted makes ricin an attractive weapon. To summarize the literature on ricin poisoning and provide recommendations based on our best professional judgment for clinicians and public health officials that are faced with deliberate release of ricin into the environment. LITERATURE ACQUISITION: Using PubMed, we searched MEDLINE and OLDMEDLINE databases (January 1950-August 2005). The Chemical and Biological Information Analysis Center database was searched for historical and military literature related to ricin toxicity. Book chapters, unpublished reports, monographs, relevant news reports, and Web material were also reviewed to find nonindexed articles. Most literature on ricin poisoning involves castor bean ingestion and experimental animal research. Aerosol release of ricin into the environment or adulteration of food and beverages are pathways to exposure likely to be exploited. Symptoms after ingestion (onset within 12 hours) are nonspecific and may include nausea, vomiting, diarrhea, and abdominal pain and may progress to hypotension, liver failure, renal dysfunction, and death due to multiorgan failure or cardiovascular collapse. Inhalation (onset of symptoms is likely within 8 hours) of ricin is expected to produce cough, dyspnea, arthralgias, and fever and may progress to respiratory distress and death, with few other organ system manifestations. Biological analytic methods for detecting ricin exposure are undergoing investigation and may soon be available through reference laboratories. Testing of environmental samples is available through federal reference laboratories. Currently, no antidote, vaccine, or other specific effective therapy is available for ricin poisoning or prevention. Prompt treatment with supportive care is necessary to limit morbidity and mortality. Health care workers and public health officials should consider ricin poisoning in patients with gastrointestinal or respiratory tract illness in the setting a credible threat. Poison control centers and public health authorities should be notified of any known illness associated with ricin exposure.
Goverman, Jeremy; Mathews, Katie; Holavanahalli, Radha K; Vardanian, Andrew; Herndon, David N; Meyer, Walter J; Kowalske, Karen; Fauerbach, Jim; Gibran, Nicole S; Carrougher, Gretchen J; Amtmann, Dagmar; Schneider, Jeffrey C; Ryan, Colleen M
The National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) established the Burn Model System (BMS) in 1993 to improve the lives of burn survivors. The BMS program includes 1) a multicenter longitudinal database describing the functional and psychosocial recovery of burn survivors; 2) site-specific burn-related research; and 3) a knowledge dissemination component directed toward patients and providers. Output from each BMS component was analyzed. Database structure, content, and access procedures are described. Publications using the database were identified and categorized to illustrate the content area of the work. Unused areas of the database were identified for future study. Publications related to site-specific projects were cataloged. The most frequently cited articles are summarized to illustrate the scope of these projects. The effectiveness of dissemination activities was measured by quantifying website hits and information downloads. There were 25 NIDILRR-supported publications that utilized the database. These articles covered topics related to psychological outcomes, functional outcomes, community reintegration, and burn demographics. There were 172 site-specific publications; highly cited articles demonstrate a wide scope of study. For information dissemination, visits to the BMS website quadrupled between 2013 and 2014, with 124,063 downloads of educational material in 2014. The NIDILRR BMS program has played a major role in defining the course of burn recovery, and making that information accessible to the general public. The accumulating information in the database serves as a rich resource to the burn community for future study. The BMS is a model for collaborative research that is multidisciplinary and outcome focused.
A knowledge base for tracking the impact of genomics on population health.
Yu, Wei; Gwinn, Marta; Dotson, W David; Green, Ridgely Fisk; Clyne, Mindy; Wulf, Anja; Bowen, Scott; Kolor, Katherine; Khoury, Muin J
2016-12-01
We created an online knowledge base (the Public Health Genomics Knowledge Base (PHGKB)) to provide systematically curated and updated information that bridges population-based research on genomics with clinical and public health applications. Weekly horizon scanning of a wide variety of online resources is used to retrieve relevant scientific publications, guidelines, and commentaries. After curation by domain experts, links are deposited into Web-based databases. PHGKB currently consists of nine component databases. Users can search the entire knowledge base or search one or more component databases directly and choose options for customizing the display of their search results. PHGKB offers researchers, policy makers, practitioners, and the general public a way to find information they need to understand the complicated landscape of genomics and population health.Genet Med 18 12, 1312-1314.
A framework for the recognition of 3D faces and expressions
NASA Astrophysics Data System (ADS)
Li, Chao; Barreto, Armando
2006-04-01
Face recognition technology has been a focus both in academia and industry for the last couple of years because of its wide potential applications and its importance to meet the security needs of today's world. Most of the systems developed are based on 2D face recognition technology, which uses pictures for data processing. With the development of 3D imaging technology, 3D face recognition emerges as an alternative to overcome the difficulties inherent with 2D face recognition, i.e. sensitivity to illumination conditions and orientation positioning of the subject. But 3D face recognition still needs to tackle the problem of deformation of facial geometry that results from the expression changes of a subject. To deal with this issue, a 3D face recognition framework is proposed in this paper. It is composed of three subsystems: an expression recognition system, a system for the identification of faces with expression, and neutral face recognition system. A system for the recognition of faces with one type of expression (happiness) and neutral faces was implemented and tested on a database of 30 subjects. The results proved the feasibility of this framework.
From scores to face templates: a model-based approach.
Mohanty, Pranab; Sarkar, Sudeep; Kasturi, Rangachar
2007-12-01
Regeneration of templates from match scores has security and privacy implications related to any biometric authentication system. We propose a novel paradigm to reconstruct face templates from match scores using a linear approach. It proceeds by first modeling the behavior of the given face recognition algorithm by an affine transformation. The goal of the modeling is to approximate the distances computed by a face recognition algorithm between two faces by distances between points, representing these faces, in an affine space. Given this space, templates from an independent image set (break-in) are matched only once with the enrolled template of the targeted subject and match scores are recorded. These scores are then used to embed the targeted subject in the approximating affine (non-orthogonal) space. Given the coordinates of the targeted subject in the affine space, the original template of the targeted subject is reconstructed using the inverse of the affine transformation. We demonstrate our ideas using three, fundamentally different, face recognition algorithms: Principal Component Analysis (PCA) with Mahalanobis cosine distance measure, Bayesian intra-extrapersonal classifier (BIC), and a feature-based commercial algorithm. To demonstrate the independence of the break-in set with the gallery set, we select face templates from two different databases: Face Recognition Grand Challenge (FRGC) and Facial Recognition Technology (FERET) Database (FERET). With an operational point set at 1 percent False Acceptance Rate (FAR) and 99 percent True Acceptance Rate (TAR) for 1,196 enrollments (FERET gallery), we show that at most 600 attempts (score computations) are required to achieve a 73 percent chance of breaking in as a randomly chosen target subject for the commercial face recognition system. With similar operational set up, we achieve a 72 percent and 100 percent chance of breaking in for the Bayesian and PCA based face recognition systems, respectively. With three different levels of score quantization, we achieve 69 percent, 68 percent and 49 percent probability of break-in, indicating the robustness of our proposed scheme to score quantization. We also show that the proposed reconstruction scheme has 47 percent more probability of breaking in as a randomly chosen target subject for the commercial system as compared to a hill climbing approach with the same number of attempts. Given that the proposed template reconstruction method uses distinct face templates to reconstruct faces, this work exposes a more severe form of vulnerability than a hill climbing kind of attack where incrementally different versions of the same face are used. Also, the ability of the proposed approach to reconstruct actual face templates of the users increases privacy concerns in biometric systems.
Assessing Student Performance and Perceptions in Lecture Capture vs. Face-to-Face Course Delivery
ERIC Educational Resources Information Center
Euzent, Patricia; Martin, Thomas; Moskal, Patrick; Moskal, Patsy
2011-01-01
Public universities are currently facing a challenge in determining how to deliver quality instruction in the face of severe fiscal constraints. With recent technological advances, courses streamed over the Internet (i.e., lecture capture) are now becoming common. However, little research has been published that specifically examines student…
Modeling Cooperation in an Address-Register-Based Telephone/Face-to-Face Survey
ERIC Educational Resources Information Center
Lipps, Oliver
2016-01-01
I analyze the effects of household sociodemography, interviewer performance in the current survey, and fieldwork characteristics on cooperation in a central telephone survey, where households with no publicly listed landline number receive face-to-face visits. Using the 2013 refreshment sample of the Swiss Household Panel, I employ…
Pereira, Filipa; Salvi, Mireille; Verloo, Henk
2017-08-01
The adoption of evidence-based practice (EBP) is promoted because it is widely recognized for improving the quality and safety of health care for patients, and reducing avoidable costs. Providers of primary care face numerous challenges to ensuring the effectiveness of their daily practices. Primary health care is defined as: the entry level into a health care services system, providing a first point of contact for all new needs and problems; patient-focused (not disease-oriented) care over time; care for all but the most uncommon or unusual conditions; and coordination or integration of care, regardless of where or by whom that care is delivered. Primary health care is the principal means by which to approach the main goal of any health care services system: optimization of health status. This review aims to scope publications examining beliefs, knowledge, implementation, and integration of EBPs among primary health care providers (HCPs). We will conduct a systematic scoping review of published articles in the following electronic databases, from their start dates until March 31, 2017: Medical Literature Analysis and Retrieval System Online (MEDLINE) via PubMed (from 1946), Embase (from 1947), Cumulative Index to Nursing and Allied Health Literature (CINAHL; from 1937), the Cochrane Central Register of Controlled Trials (CENTRAL; from 1992), PsycINFO (from 1806), Web of Science (from 1900), Joanna Briggs Institute (JBI) database (from 1998), Database of Abstracts of Reviews of Effects (DARE; from 1996), Trip medical database (from 1997), and relevant professional scientific journals (from their start dates). We will use the predefined search terms of, "evidence-based practice" and, "primary health care" combined with other terms, such as, "beliefs", "knowledge", "implementation", and "integration". We will also conduct a hand search of the bibliographies of all relevant articles and a search for unpublished studies using Google Scholar, ProQuest, Mednar, and WorldCat. We will consider publications in English, French, Spanish, and Portuguese. The electronic database searches were completed in April 2017. Retrieved articles are currently being screened, and the entire study is expected to be completed by November 2017. This systematic scoping review will provide a greater understanding of the beliefs, knowledge, implementation, and integration of EBPs among primary HCPs. The findings will inform clinical practice and help to draw a global picture of the EBP research topics that are relevant to primary care providers. ©Filipa Pereira, Mireille Salvi, Henk Verloo. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 01.08.2017.
Major, Sylvia M; Nishizuka, Satoshi; Morita, Daisaku; Rowland, Rick; Sunshine, Margot; Shankavaram, Uma; Washburn, Frank; Asin, Daniel; Kouros-Mehr, Hosein; Kane, David; Weinstein, John N
2006-04-06
Monoclonal antibodies are used extensively throughout the biomedical sciences for detection of antigens, either in vitro or in vivo. We, for example, have used them for quantitation of proteins on "reverse-phase" protein lysate arrays. For those studies, we quality-controlled > 600 available monoclonal antibodies and also needed to develop precise information on the genes that encode their antigens. Translation among the various protein and gene identifier types proved non-trivial because of one-to-many and many-to-one relationships. To organize the antibody, protein, and gene information, we initially developed a relational database in Filemaker for our own use. When it became apparent that the information would be useful to many other researchers faced with the need to choose or characterize antibodies, we developed it further as AbMiner, a fully relational web-based database under MySQL, programmed in Java. AbMiner is a user-friendly, web-based relational database of information on > 600 commercially available antibodies that we validated by Western blot for protein microarray studies. It includes many types of information on the antibody, the immunogen, the vendor, the antigen, and the antigen's gene. Multiple gene and protein identifier types provide links to corresponding entries in a variety of other public databases, including resources for phosphorylation-specific antibodies. AbMiner also includes our quality-control data against a pool of 60 diverse cancer cell types (the NCI-60) and also protein expression levels for the NCI-60 cells measured using our high-density "reverse-phase" protein lysate microarrays for a selection of the listed antibodies. Some other available database resources give information on antibody specificity for one or a couple of cell types. In contrast, the data in AbMiner indicate specificity with respect to the antigens in a pool of 60 diverse cell types from nine different tissues of origin. AbMiner is a relational database that provides extensive information from our own laboratory and other sources on more than 600 available antibodies and the genes that encode the antibodies' antigens. The data will be made freely available at http://discover.nci.nih.gov/abminer.
Histoplasma capsulatum proteome response to decreased iron availability
Winters, Michael S; Spellman, Daniel S; Chan, Qilin; Gomez, Francisco J; Hernandez, Margarita; Catron, Brittany; Smulian, Alan G; Neubert, Thomas A; Deepe, George S
2008-01-01
Background A fundamental pathogenic feature of the fungus Histoplasma capsulatum is its ability to evade innate and adaptive immune defenses. Once ingested by macrophages the organism is faced with several hostile environmental conditions including iron limitation. H. capsulatum can establish a persistent state within the macrophage. A gap in knowledge exists because the identities and number of proteins regulated by the organism under host conditions has yet to be defined. Lack of such knowledge is an important problem because until these proteins are identified it is unlikely that they can be targeted as new and innovative treatment for histoplasmosis. Results To investigate the proteomic response by H. capsulatum to decreasing iron availability we have created H. capsulatum protein/genomic databases compatible with current mass spectrometric (MS) search engines. Databases were assembled from the H. capsulatum G217B strain genome using gene prediction programs and expressed sequence tag (EST) libraries. Searching these databases with MS data generated from two dimensional (2D) in-gel digestions of proteins resulted in over 50% more proteins identified compared to searching the publicly available fungal databases alone. Using 2D gel electrophoresis combined with statistical analysis we discovered 42 H. capsulatum proteins whose abundance was significantly modulated when iron concentrations were lowered. Altered proteins were identified by mass spectrometry and database searching to be involved in glycolysis, the tricarboxylic acid cycle, lysine metabolism, protein synthesis, and one protein sequence whose function was unknown. Conclusion We have created a bioinformatics platform for H. capsulatum and demonstrated the utility of a proteomic approach by identifying a shift in metabolism the organism utilizes to cope with the hostile conditions provided by the host. We have shown that enzyme transcripts regulated by other fungal pathogens in response to lowering iron availability are also regulated in H. capsulatum at the protein level. We also identified H. capsulatum proteins sensitive to iron level reductions which have yet to be connected to iron availability in other pathogens. These data also indicate the complexity of the response by H. capsulatum to nutritional deprivation. Finally, we demonstrate the importance of a strain specific gene/protein database for H. capsulatum proteomic analysis. PMID:19108728
Health check for Latvia: opportunities for information professionals in a new democracy.
Smith, Inese A; Pozņaka, Velta
2006-12-01
This paper outlines developments in medical information in Latvia since independence from the former USSR in 1991, and analyses the health information gap faced by professionals. To explore international initiatives and co-operation in health information provision in Latvia; to describe the activities of Latvian medical librarians at national, regional and international level; to look at health information provision by specialist information centres; and to discuss the role of librarians in health information provision in public libraries. An extensive search was made of databases and medical library and health information centre staff were interviewed; a questionnaire survey of librarians was carried out. International initiatives and co-operation by medical librarians have extended their services at national, regional and international level. Health information portals exist, with online contacts and links to smaller health centres and organizations, but rarely employ qualified librarians or information professionals. Ninety-three per cent of public librarians had provided health information, with 79% using the Internet. The most popular sources of health information were magazines, books, local pharmacies and the Internet, but mostly for healthy lifestyle, not medical problems. E-health and medical informatics are high government priorities. Medical librarians are actively involved in these initiatives.
Investigating Evolutionary Questions Using Online Molecular Databases.
ERIC Educational Resources Information Center
Puterbaugh, Mary N.; Burleigh, J. Gordon
2001-01-01
Recommends using online molecular databases as teaching tools to illustrate evolutionary questions and concepts while introducing students to public molecular databases. Provides activities in which students make molecular comparisons between species. (YDS)
NASA Astrophysics Data System (ADS)
Chen, Cunjian; Ross, Arun
2013-05-01
Researchers in face recognition have been using Gabor filters for image representation due to their robustness to complex variations in expression and illumination. Numerous methods have been proposed to model the output of filter responses by employing either local or global descriptors. In this work, we propose a novel but simple approach for encoding Gradient information on Gabor-transformed images to represent the face, which can be used for identity, gender and ethnicity assessment. Extensive experiments on the standard face benchmark FERET (Visible versus Visible), as well as the heterogeneous face dataset HFB (Near-infrared versus Visible), suggest that the matching performance due to the proposed descriptor is comparable against state-of-the-art descriptor-based approaches in face recognition applications. Furthermore, the same feature set is used in the framework of a Collaborative Representation Classification (CRC) scheme for deducing soft biometric traits such as gender and ethnicity from face images in the AR, Morph and CAS-PEAL databases.
ERIC Educational Resources Information Center
Garrett Dikkers, Amy
2015-01-01
This mixed-method study reports perspectives of virtual school teachers on the impact of online teaching on their face-to-face practice. Data from a large-scale survey of teachers in the North Carolina Virtual Public School (n = 214), focus groups (n = 7), and interviews (n = 5) demonstrate multiple intersections between online and face-to-face…
The Data Base and Decision Making in Public Schools.
ERIC Educational Resources Information Center
Hedges, William D.
1984-01-01
Describes generic types of databases--file management systems, relational database management systems, and network/hierarchical database management systems--with their respective strengths and weaknesses; discusses factors to be considered in determining whether a database is desirable; and provides evaluative criteria for use in choosing…
75 FR 60460 - Proposed Data Collections Submitted for Public Comment and Recommendations
Federal Register 2010, 2011, 2012, 2013, 2014
2010-09-30
... one integrated database. The mission of the SEPDPO is to prepare an applied public health workforce... candidates, maintaining a current alumni database, documenting the impact of the fellowships on alumni's... to the questions in the online application; submission of academic transcripts and letters of...
ERIC Educational Resources Information Center
Williamson, Ben
2015-01-01
This article examines the emergence of "digital governance" in public education in England. Drawing on and combining concepts from software studies, policy and political studies, it identifies some specific approaches to digital governance facilitated by network-based communications and database-driven information processing software…
NASA Astrophysics Data System (ADS)
Feng, Guang; Li, Hengjian; Dong, Jiwen; Chen, Xi; Yang, Huiru
2018-04-01
In this paper, we proposed a joint and collaborative representation with Volterra kernel convolution feature (JCRVK) for face recognition. Firstly, the candidate face images are divided into sub-blocks in the equal size. The blocks are extracted feature using the two-dimensional Voltera kernels discriminant analysis, which can better capture the discrimination information from the different faces. Next, the proposed joint and collaborative representation is employed to optimize and classify the local Volterra kernels features (JCR-VK) individually. JCR-VK is very efficiently for its implementation only depending on matrix multiplication. Finally, recognition is completed by using the majority voting principle. Extensive experiments on the Extended Yale B and AR face databases are conducted, and the results show that the proposed approach can outperform other recently presented similar dictionary algorithms on recognition accuracy.
Nomura, Kaori; Kitagawa, Yuki; Yuda, Yasukatsu; Takano-Ohmuro, Hiromi
2016-01-01
Japan has actively reclassified substances ranging from prescription drugs to over-the-counter (OTC) drugs in recent years. The sale of most OTC drugs was deregulated several times and pharmacists' supervision was deemed no longer mandatory. Japan established a new OTC evaluation system in 2015 to hear opinions from various stakeholders regarding medicine types to be reclassified. This study aimed to examine the new framework to identify candidate substances for reclassification. Moreover, we examined how to manage the safe, self-care use of OTC drugs in Japan. The necessary regulatory information on OTC approvals as of January 2015 was collected using an Internet search and relevant databases. To highlight the characteristics of OTC drugs in Japan, the UK was selected as a comparison country because it too was actively promoting the reclassification of medicines from prescription to nonprescription status, and because of economic similarity. Japan and the UK have a risk-based classification for nonprescription medicines. Japan has made OTC drugs available with mandatory pharmacists' supervision, face-to-face with pharmacists, or online instruction, which is similar to the "pharmacy medicine" practiced in the UK. Japan recently reformed the reclassification process to involve physicians and the public in the process; some interactions were back to "prescription-only medicine" in the UK. It is expected that the opinion of marketers, medical professionals, and the public will improve the discussion that will greatly contribute to the safe use of drugs. Monitoring the new system will be noteworthy to ensure that OTC drug users are managing their self-care properly and visiting a doctor only when necessary. The supply methods are similar in Japan and the UK; however, the expected growth in the Japanese OTC market by the Cabinet and the industry is still uncertain.
Competitive Advantage of MBA for Physician Executives: A Systematic Literature Review.
Turner, Anthony D; Stawicki, Stanislaw P; Guo, Weidun Alan
2018-06-01
In response to systemic challenges facing the US healthcare system, many medical students, residents and practicing physicians are pursuing a Master in Business Administration (MBA) degree. The value of such proposition remains poorly defined. The aim of this review is to analyze current literature pertaining to the added value of MBA training for physician executives (PEs). We hypothesized that physicians who supplement their clinical expertise with business education gain a significant competitive advantage. A detailed literature search of four electronic databases (PubMed, SCOPUS, Embase and ERIC) was performed. Included were studies published between Jan 2000 and June 2017, focusing specifically on PEs. Among 1580 non-duplicative titles, we identified 23 relevant articles. Attributes which were found to add value to one's competitiveness as PE were recorded. A quality index score was assigned to each article in order to minimize bias. Results were tabulated by attributes and by publication. We found that competitive domains deemed to be most important for PEs in the context of MBA training were leadership (n = 17), career advancement opportunities (n = 12), understanding of financial aspects of medicine (n = 9) and team-building skills (n = 10). Among other prominent factors associated with the desire to engage in an MBA were higher compensation, awareness of public health issues/strategy, increased negotiation skills and enhanced work-life balance. Of interest, the learning of strategies for reducing malpractice litigation was less important than the other drivers. This comprehensive systemic review supports our hypothesis that a business degree confers a competitive advantage for PEs. Physician executives equipped with an MBA degree appear to be better equipped to face the challenge of the dynamically evolving healthcare landscape. This information may be beneficial to medical schools designing or implementing combined dual-degree curricula.
Flipped classroom improves student learning in health professions education: a meta-analysis.
Hew, Khe Foon; Lo, Chung Kwan
2018-03-15
The use of flipped classroom approach has become increasingly popular in health professions education. However, no meta-analysis has been published that specifically examines the effect of flipped classroom versus traditional classroom on student learning. This study examined the findings of comparative articles through a meta-analysis in order to summarize the overall effects of teaching with the flipped classroom approach. We focused specifically on a set of flipped classroom studies in which pre-recorded videos were provided before face-to-face class meetings. These comparative articles focused on health care professionals including medical students, residents, doctors, nurses, or learners in other health care professions and disciplines (e.g., dental, pharmacy, environmental or occupational health). Using predefined study eligibility criteria, seven electronic databases were searched in mid-April 2017 for relevant articles. Methodological quality was graded using the Medical Education Research Study Quality Instrument (MERSQI). Effect sizes, heterogeneity estimates, analysis of possible moderators, and publication bias were computed using the COMPREHENSIVE META-ANALYSIS software. A meta-analysis of 28 eligible comparative studies (between-subject design) showed an overall significant effect in favor of flipped classrooms over traditional classrooms for health professions education (standardized mean difference, SMD = 0.33, 95% confidence interval, CI = 0.21-0.46, p < 0.001), with no evidence of publication bias. In addition, the flipped classroom approach was more effective when instructors used quizzes at the start of each in-class session. More respondents reported they preferred flipped to traditional classrooms. Current evidence suggests that the flipped classroom approach in health professions education yields a significant improvement in student learning compared with traditional teaching methods.
Land, Victoria; Parry, Ruth; Seymour, Jane
2017-12-01
Shared decision making (SDM) is generally treated as good practice in health-care interactions. Conversation analytic research has yielded detailed findings about decision making in health-care encounters. To map decision making communication practices relevant to health-care outcomes in face-to-face interactions yielded by prior conversation analyses, and to examine their function in relation to SDM. We searched nine electronic databases (last search November 2016) and our own and other academics' collections. Published conversation analyses (no restriction on publication dates) using recordings of health-care encounters in English where the patient (and/or companion) was present and where the data and analysis focused on health/illness-related decision making. We extracted study characteristics, aims, findings relating to communication practices, how these functioned in relation to SDM, and internal/external validity issues. We synthesised findings aggregatively. Twenty-eight publications met the inclusion criteria. We sorted findings into 13 types of communication practices and organized these in relation to four elements of decision-making sequences: (i) broaching decision making; (ii) putting forward a course of action; (iii) committing or not (to the action put forward); and (iv) HCPs' responses to patients' resistance or withholding of commitment. Patients have limited opportunities to influence decision making. HCPs' practices may constrain or encourage this participation. Patients, companions and HCPs together treat and undertake decision making as shared, though to varying degrees. Even for non-negotiable treatment trajectories, the spirit of SDM can be invoked through practices that encourage participation (eg by bringing the patient towards shared understanding of the decision's rationale). © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd.
Jayewardene, Wasantha P; Lohrmann, David K; Erbe, Ryan G; Torabi, Mohammad R
2017-03-01
Empirical evidence suggested that mind-body interventions can be effectively delivered online. This study aimed to examine whether preventive online mindfulness interventions (POMI) for non-clinical populations improve short- and long-term outcomes for perceived-stress (primary) and mindfulness (secondary). Systematic search of four electronic databases, manuscript reference lists, and journal content lists was conducted in 2016, using 21 search-terms. Eight randomized controlled trials (RCTs) evaluating effects of POMI in non-clinical populations with adequately reported perceived-stress and mindfulness measures pre- and post-intervention were included. Random-effects models utilized for all effect-size estimations with meta-regression performed for mean age and %females. Participants were volunteers (adults; predominantly female) from academic, workplace, or community settings. Most interventions utilized simplified Mindfulness-Based Stress Reduction protocols over 2-12 week periods. Post-intervention, significant medium effect found for perceived-stress (g = 0.432), with moderate heterogeneity and significant, but small, effect size for mindfulness (g = 0.275) with low heterogeneity; highest effects were for middle-aged individuals. At follow-up, significant large effect found for perceived-stress (g = 0.699) with low heterogeneity and significant medium effect (g = 0.466) for mindfulness with high heterogeneity. No publication bias was found for perceived-stress; publication bias found for mindfulness outcomes led to underestimation of effects, not overestimation. Number of eligible RCTs was low with inadequate data reporting in some studies. POMI had substantial stress reduction effects and some mindfulness improvement effects. POMI can be a more convenient and cost-effective strategy, compared to traditional face-to-face interventions, especially in the context of busy, hard-to-reach, but digitally-accessible populations.
Examining the Impact of HIV & AIDS on South African Educators
ERIC Educational Resources Information Center
Louw, Julia; Shisana, Olive; Peltzer, Karl; Zungu, Nompumelelo
2009-01-01
Our aim in this study was to examine the impact of HIV & AIDS on South African educators. A cross-sectional survey was conducted in public schools combining HIV testing and a face-to-face interview with participants from a nationally representative sample of public educators. The results show that HIV is highly prevalent among South African…
ERIC Educational Resources Information Center
Silvernail, David L.; Linet, Sarah R.
2014-01-01
The goal of this study was to: (1) identify challenges faced by Maine school districts in providing high quality public education; (2) describe the magnitude of the challenges; and (3) identify areas where school districts were experiencing some success in meeting these challenges. The School Districts Challenge Survey was distributed online to…
Krystkowiak, Izabella; Lenart, Jakub; Debski, Konrad; Kuterba, Piotr; Petas, Michal; Kaminska, Bozena; Dabrowski, Michal
2013-01-01
We present the Nencki Genomics Database, which extends the functionality of Ensembl Regulatory Build (funcgen) for the three species: human, mouse and rat. The key enhancements over Ensembl funcgen include the following: (i) a user can add private data, analyze them alongside the public data and manage access rights; (ii) inside the database, we provide efficient procedures for computing intersections between regulatory features and for mapping them to the genes. To Ensembl funcgen-derived data, which include data from ENCODE, we add information on conserved non-coding (putative regulatory) sequences, and on genome-wide occurrence of transcription factor binding site motifs from the current versions of two major motif libraries, namely, Jaspar and Transfac. The intersections and mapping to the genes are pre-computed for the public data, and the result of any procedure run on the data added by the users is stored back into the database, thus incrementally increasing the body of pre-computed data. As the Ensembl funcgen schema for the rat is currently not populated, our database is the first database of regulatory features for this frequently used laboratory animal. The database is accessible without registration using the mysql client: mysql -h database.nencki-genomics.org -u public. Registration is required only to add or access private data. A WSDL webservice provides access to the database from any SOAP client, including the Taverna Workbench with a graphical user interface.
Krystkowiak, Izabella; Lenart, Jakub; Debski, Konrad; Kuterba, Piotr; Petas, Michal; Kaminska, Bozena; Dabrowski, Michal
2013-01-01
We present the Nencki Genomics Database, which extends the functionality of Ensembl Regulatory Build (funcgen) for the three species: human, mouse and rat. The key enhancements over Ensembl funcgen include the following: (i) a user can add private data, analyze them alongside the public data and manage access rights; (ii) inside the database, we provide efficient procedures for computing intersections between regulatory features and for mapping them to the genes. To Ensembl funcgen-derived data, which include data from ENCODE, we add information on conserved non-coding (putative regulatory) sequences, and on genome-wide occurrence of transcription factor binding site motifs from the current versions of two major motif libraries, namely, Jaspar and Transfac. The intersections and mapping to the genes are pre-computed for the public data, and the result of any procedure run on the data added by the users is stored back into the database, thus incrementally increasing the body of pre-computed data. As the Ensembl funcgen schema for the rat is currently not populated, our database is the first database of regulatory features for this frequently used laboratory animal. The database is accessible without registration using the mysql client: mysql –h database.nencki-genomics.org –u public. Registration is required only to add or access private data. A WSDL webservice provides access to the database from any SOAP client, including the Taverna Workbench with a graphical user interface. Database URL: http://www.nencki-genomics.org. PMID:24089456
Patel, Vanash M.; Ashrafian, Hutan; Almoudaris, Alex; Makanjuola, Jonathan; Bucciarelli-Ducci, Chiara; Darzi, Ara; Athanasiou, Thanos
2013-01-01
Objectives To compare H index scores for healthcare researchers returned by Google Scholar, Web of Science and Scopus databases, and to assess whether a researcher's age, country of institutional affiliation and physician status influences calculations. Subjects and Methods One hundred and ninety-five Nobel laureates in Physiology and Medicine from 1901 to 2009 were considered. Year of first and last publications, total publications and citation counts, and the H index for each laureate were calculated from each database. Cronbach's alpha statistics was used to measure the reliability of H index scores between the databases. Laureate characteristic influence on the H index was analysed using linear regression. Results There was no concordance between the databases when considering the number of publications and citations count per laureate. The H index was the most reliably calculated bibliometric across the three databases (Cronbach's alpha = 0.900). All databases returned significantly higher H index scores for younger laureates (p < 0.0001). Google Scholar and Web of Science returned significantly higher H index for physician laureates (p = 0.025 and p = 0.029, respectively). Country of institutional affiliation did not influence the H index in any database. Conclusion The H index appeared to be the most consistently calculated bibliometric between the databases for Nobel laureates in Physiology and Medicine. Researcher-specific characteristics constituted an important component of objective research assessment. The findings of this study call to question the choice of current and future academic performance databases. PMID:22964880
Lewis, Amelia K; Porter, Melanie A; Williams, Tracey A; Bzishvili, Samantha; North, Kathryn N; Payne, Jonathan M
2017-05-01
This study aimed to investigate face scan paths and face perception abilities in children with Neurofibromatosis Type 1 (NF1) and how these might relate to emotion recognition abilities in this population. The authors investigated facial emotion recognition, face scan paths, and face perception in 29 children with NF1 compared to 29 chronological age-matched typically developing controls. Correlations between facial emotion recognition, face scan paths, and face perception in children with NF1 were examined. Children with NF1 displayed significantly poorer recognition of fearful expressions compared to controls, as well as a nonsignificant trend toward poorer recognition of anger. Although there was no significant difference between groups in time spent viewing individual core facial features (eyes, nose, mouth, and nonfeature regions), children with NF1 spent significantly less time than controls viewing the face as a whole. Children with NF1 also displayed significantly poorer face perception abilities than typically developing controls. Facial emotion recognition deficits were not significantly associated with aberrant face scan paths or face perception abilities in the NF1 group. These results suggest that impairments in the perception, identification, and interpretation of information from faces are important aspects of the social-cognitive phenotype of NF1. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Analysis of commercial and public bioactivity databases.
Tiikkainen, Pekka; Franke, Lutz
2012-02-27
Activity data for small molecules are invaluable in chemoinformatics. Various bioactivity databases exist containing detailed information of target proteins and quantitative binding data for small molecules extracted from journals and patents. In the current work, we have merged several public and commercial bioactivity databases into one bioactivity metabase. The molecular presentation, target information, and activity data of the vendor databases were standardized. The main motivation of the work was to create a single relational database which allows fast and simple data retrieval by in-house scientists. Second, we wanted to know the amount of overlap between databases by commercial and public vendors to see whether the former contain data complementing the latter. Third, we quantified the degree of inconsistency between data sources by comparing data points derived from the same scientific article cited by more than one vendor. We found that each data source contains unique data which is due to different scientific articles cited by the vendors. When comparing data derived from the same article we found that inconsistencies between the vendors are common. In conclusion, using databases of different vendors is still useful since the data overlap is not complete. It should be noted that this can be partially explained by the inconsistencies and errors in the source data.
Aßmann, C
2016-06-01
Besides large efforts regarding field work, provision of valid databases requires statistical and informational infrastructure to enable long-term access to longitudinal data sets on height, weight and related issues. To foster use of longitudinal data sets within the scientific community, provision of valid databases has to address data-protection regulations. It is, therefore, of major importance to hinder identifiability of individuals from publicly available databases. To reach this goal, one possible strategy is to provide a synthetic database to the public allowing for pretesting strategies for data analysis. The synthetic databases can be established using multiple imputation tools. Given the approval of the strategy, verification is based on the original data. Multiple imputation by chained equations is illustrated to facilitate provision of synthetic databases as it allows for capturing a wide range of statistical interdependencies. Also missing values, typically occurring within longitudinal databases for reasons of item non-response, can be addressed via multiple imputation when providing databases. The provision of synthetic databases using multiple imputation techniques is one possible strategy to ensure data protection, increase visibility of longitudinal databases and enhance the analytical potential.
Improve Performance of Data Warehouse by Query Cache
NASA Astrophysics Data System (ADS)
Gour, Vishal; Sarangdevot, S. S.; Sharma, Anand; Choudhary, Vinod
2010-11-01
The primary goal of data warehouse is to free the information locked up in the operational database so that decision makers and business analyst can make queries, analysis and planning regardless of the data changes in operational database. As the number of queries is large, therefore, in certain cases there is reasonable probability that same query submitted by the one or multiple users at different times. Each time when query is executed, all the data of warehouse is analyzed to generate the result of that query. In this paper we will study how using query cache improves performance of Data Warehouse and try to find the common problems faced. These kinds of problems are faced by Data Warehouse administrators which are minimizes response time and improves the efficiency of query in data warehouse overall, particularly when data warehouse is updated at regular interval.
NREL: U.S. Life Cycle Inventory Database - About the LCI Database Project
About the LCI Database Project The U.S. Life Cycle Inventory (LCI) Database is a publicly available data collection and analysis methods. Finding consistent and transparent LCI data for life cycle and maintain the database. The 2009 U.S. Life Cycle Inventory (LCI) Data Stakeholder meeting was an
The EpiSLI Database: A Publicly Available Database on Speech and Language
ERIC Educational Resources Information Center
Tomblin, J. Bruce
2010-01-01
Purpose: This article describes a database that was created in the process of conducting a large-scale epidemiologic study of specific language impairment (SLI). As such, this database will be referred to as the EpiSLI database. Children with SLI have unexpected and unexplained difficulties learning and using spoken language. Although there is no…
Mutagenicity and carcinogenicity databases are crucial resources for toxicologists and regulators involved in chemicals risk assessment. Until recently, existing public toxicity databases have been constructed primarily as "look-up-tables" of existing data, and most often did no...
A Partnership for Public Health: USDA Branded Food Products Database
USDA-ARS?s Scientific Manuscript database
The importance of comprehensive food composition databases is more critical than ever in helping to address global food security. The USDA National Nutrient Database for Standard Reference is the “gold standard” for food composition databases. The presentation will include new developments in stren...
Sipahi, H; Durusoy, R; Ergin, I; Hassoy, H; Davas, A; Karababa, Ao
2012-01-01
Thesis is an important part of specialisation and doctorate education and requires intense work. The aim of this study was to investigate the publication rates of Turkish Public Health Doctorate Theses (PHDT) and Public Health Specialization (PHST) theses in international and Turkish national peer-review journals and to analyze the distribution of research areas. List of all theses upto 30 September 2009 were retrieved from theses database of the Council of Higher Education of the Republic of Turkey. The publication rates of these theses were found by searching PubMed, Science Citation Index-Expanded, Turkish Academic Network and Information Center (ULAKBIM) Turkish Medical Database, and Turkish Medline databases for the names of thesis author and mentor. The theses which were published in journals indexed either in PubMed or SCI-E were considered as international publications. Our search yielded a total of 538 theses (243 PHDT, 295 PHST). It was found that the overall publication rate in Turkish national journals was 18%. The overall publication rate in international journals was 11.9%. Overall the most common research area was occupational health. Publication rates of Turkish PHDT and PHST are low. A better understanding of factors affecting this publication rate is important for public health issues where national data is vital for better intervention programs and develop better public health policies.
Sipahi, H; Durusoy, R; Ergin, I; Hassoy, H; Davas, A; Karababa, AO
2012-01-01
Background: Thesis is an important part of specialisation and doctorate education and requires intense work. The aim of this study was to investigate the publication rates of Turkish Public Health Doctorate Theses (PHDT) and Public Health Specialization (PHST) theses in international and Turkish national peer-review journals and to analyze the distribution of research areas. Methods: List of all theses upto 30 September 2009 were retrieved from theses database of the Council of Higher Education of the Republic of Turkey. The publication rates of these theses were found by searching PubMed, Science Citation Index-Expanded, Turkish Academic Network and Information Center (ULAKBIM) Turkish Medical Database, and Turkish Medline databases for the names of thesis author and mentor. The theses which were published in journals indexed either in PubMed or SCI-E were considered as international publications. Results: Our search yielded a total of 538 theses (243 PHDT, 295 PHST). It was found that the overall publication rate in Turkish national journals was 18%. The overall publication rate in international journals was 11.9%. Overall the most common research area was occupational health. Conclusion: Publication rates of Turkish PHDT and PHST are low. A better understanding of factors affecting this publication rate is important for public health issues where national data is vital for better intervention programs and develop better public health policies. PMID:23193503
Using Organizational Behavior To Increase the Efficiency of The Total Force Enterprise
2013-06-01
database and through personal interviews , the reader will be shown the common struggles faced by units undergoing change without following the...active, ARC, or hybrid may all play a role. Through this database and personal interviews , we can determine how the unit change was dealt with, if...organizational structures, as well as strategy . If we overlay the speed of technological change and the power of social media, military organizations failing
Virtanen, Mikko J; Sane, Jussi; Mustonen, Pekka; Kaila, Minna; Helve, Otto
2017-01-01
Background People using the Internet to find information on health issues, such as specific diseases, usually start their search from a general search engine, for example, Google. Internet searches such as these may yield results and data of questionable quality and reliability. Health Library is a free-of-charge medical portal on the Internet providing medical information for the general public. Physician’s Databases, an Internet evidence-based medicine source, provides medical information for health care professionals (HCPs) to support their clinical practice. Both databases are available throughout Finland, but the latter is used only by health professionals and pharmacies. Little is known about how the general public seeks medical information from medical sources on the Internet, how this behavior differs from HCPs’ queries, and what causes possible differences in behavior. Objective The aim of our study was to evaluate how the general public’s and HCPs’ information-seeking trends from Internet medical databases differ seasonally and temporally. In addition, we aimed to evaluate whether the general public’s information-seeking trends could be utilized for disease surveillance and whether media coverage could affect these seeking trends. Methods Lyme disease, serving as a well-defined disease model with distinct seasonal variation, was chosen as a case study. Two Internet medical databases, Health Library and Physician’s Databases, were used. We compared the general public’s article openings on Lyme disease from Health Library to HCPs’ article openings on Lyme disease from Physician’s Databases seasonally across Finland from 2011 to 2015. Additionally, media publications related to Lyme disease were searched from the largest and most popular media websites in Finland. Results Both databases, Health Library and Physician’s Databases, show visually similar patterns in temporal variations of article openings on Lyme disease in Finland from 2011 to 2015. However, Health Library openings show not only an increasing trend over time but also greater fluctuations, especially during peak opening seasons. Outside these seasons, publications in the media coincide with Health Library article openings only occasionally. Conclusions Lyme disease–related information-seeking behaviors between the general public and HCPs from Internet medical portals share similar temporal variations, which is consistent with the trend seen in epidemiological data. Therefore, the general public’s article openings could be used as a supplementary source of information for disease surveillance. The fluctuations in article openings appeared stronger among the general public, thus, suggesting that different factors such as media coverage, affect the information-seeking behaviors of the public versus professionals. However, media coverage may also have an influence on HCPs. Not every publication was associated with an increase in openings, but the higher the media coverage by some publications, the higher the general public’s access to Health Library. PMID:29109071
Emotion Words: Adding Face Value.
Fugate, Jennifer M B; Gendron, Maria; Nakashima, Satoshi F; Barrett, Lisa Feldman
2017-06-12
Despite a growing number of studies suggesting that emotion words affect perceptual judgments of emotional stimuli, little is known about how emotion words affect perceptual memory for emotional faces. In Experiments 1 and 2 we tested how emotion words (compared with control words) affected participants' abilities to select a target emotional face from among distractor faces. Participants were generally more likely to false alarm to distractor emotional faces when primed with an emotion word congruent with the face (compared with a control word). Moreover, participants showed both decreased sensitivity (d') to discriminate between target and distractor faces, as well as altered response biases (c; more likely to answer "yes") when primed with an emotion word (compared with a control word). In Experiment 3 we showed that emotion words had more of an effect on perceptual memory judgments when the structural information in the target face was limited, as well as when participants were only able to categorize the face with a partially congruent emotion word. The overall results are consistent with the idea that emotion words affect the encoding of emotional faces in perceptual memory. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
High-resolution face verification using pore-scale facial features.
Li, Dong; Zhou, Huiling; Lam, Kin-Man
2015-08-01
Face recognition methods, which usually represent face images using holistic or local facial features, rely heavily on alignment. Their performances also suffer a severe degradation under variations in expressions or poses, especially when there is one gallery per subject only. With the easy access to high-resolution (HR) face images nowadays, some HR face databases have recently been developed. However, few studies have tackled the use of HR information for face recognition or verification. In this paper, we propose a pose-invariant face-verification method, which is robust to alignment errors, using the HR information based on pore-scale facial features. A new keypoint descriptor, namely, pore-Principal Component Analysis (PCA)-Scale Invariant Feature Transform (PPCASIFT)-adapted from PCA-SIFT-is devised for the extraction of a compact set of distinctive pore-scale facial features. Having matched the pore-scale features of two-face regions, an effective robust-fitting scheme is proposed for the face-verification task. Experiments show that, with one frontal-view gallery only per subject, our proposed method outperforms a number of standard verification methods, and can achieve excellent accuracy even the faces are under large variations in expression and pose.
ERIC Educational Resources Information Center
Czaplewski, John Robert
2014-01-01
A medium-sized accredited public university located in southeastern Minnesota has been offering an introductory undergraduate mathematics course with a consistent curriculum in two instructional formats: face-to-face and blended. Previously the course was offered only through a face-to-face instructional format while currently, it is only offered…
A Comparison of the Achievement of Statistics Students Enrolled in Online and Face-to-Face Settings
ERIC Educational Resources Information Center
Christmann, Edwin P.
2017-01-01
This study compared the achievement of male and female students who were enrolled in an online univariate statistics course to students enrolled in a traditional face-to-face univariate statistics course. The subjects, 47 graduate students enrolled in univariate statistics classes at a public, comprehensive university, were randomly assigned to…
Databases applicable to quantitative hazard/risk assessment-Towards a predictive systems toxicology
DOE Office of Scientific and Technical Information (OSTI.GOV)
Waters, Michael; Jackson, Marcus
2008-11-15
The Workshop on The Power of Aggregated Toxicity Data addressed the requirement for distributed databases to support quantitative hazard and risk assessment. The authors have conceived and constructed with federal support several databases that have been used in hazard identification and risk assessment. The first of these databases, the EPA Gene-Tox Database was developed for the EPA Office of Toxic Substances by the Oak Ridge National Laboratory, and is currently hosted by the National Library of Medicine. This public resource is based on the collaborative evaluation, by government, academia, and industry, of short-term tests for the detection of mutagens andmore » presumptive carcinogens. The two-phased evaluation process resulted in more than 50 peer-reviewed publications on test system performance and a qualitative database on thousands of chemicals. Subsequently, the graphic and quantitative EPA/IARC Genetic Activity Profile (GAP) Database was developed in collaboration with the International Agency for Research on Cancer (IARC). A chemical database driven by consideration of the lowest effective dose, GAP has served IARC for many years in support of hazard classification of potential human carcinogens. The Toxicological Activity Profile (TAP) prototype database was patterned after GAP and utilized acute, subchronic, and chronic data from the Office of Air Quality Planning and Standards. TAP demonstrated the flexibility of the GAP format for air toxics, water pollutants and other environmental agents. The GAP format was also applied to developmental toxicants and was modified to represent quantitative results from the rodent carcinogen bioassay. More recently, the authors have constructed: 1) the NIEHS Genetic Alterations in Cancer (GAC) Database which quantifies specific mutations found in cancers induced by environmental agents, and 2) the NIEHS Chemical Effects in Biological Systems (CEBS) Knowledgebase that integrates genomic and other biological data including dose-response studies in toxicology and pathology. Each of the public databases has been discussed in prior publications. They will be briefly described in the present report from the perspective of aggregating datasets to augment the data and information contained within them.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Starr, D. L.; Wozniak, P. R.; Vestrand, W. T.
2002-01-01
SkyDOT (Sky Database for Objects in Time-Domain) is a Virtual Observatory currently comprised of data from the RAPTOR, ROTSE I, and OGLE I1 survey projects. This makes it a very large time domain database. In addition, the RAPTOR project provides SkyDOT with real-time variability data as well as stereoscopic information. With its web interface, we believe SkyDOT will be a very useful tool for both astronomers, and the public. Our main task has been to construct an efficient relational database containing all existing data, while handling a real-time inflow of data. We also provide a useful web interface allowing easymore » access to both astronomers and the public. Initially, this server will allow common searches, specific queries, and access to light curves. In the future we will include machine learning classification tools and access to spectral information.« less
Robust kernel representation with statistical local features for face recognition.
Yang, Meng; Zhang, Lei; Shiu, Simon Chi-Keung; Zhang, David
2013-06-01
Factors such as misalignment, pose variation, and occlusion make robust face recognition a difficult problem. It is known that statistical features such as local binary pattern are effective for local feature extraction, whereas the recently proposed sparse or collaborative representation-based classification has shown interesting results in robust face recognition. In this paper, we propose a novel robust kernel representation model with statistical local features (SLF) for robust face recognition. Initially, multipartition max pooling is used to enhance the invariance of SLF to image registration error. Then, a kernel-based representation model is proposed to fully exploit the discrimination information embedded in the SLF, and robust regression is adopted to effectively handle the occlusion in face images. Extensive experiments are conducted on benchmark face databases, including extended Yale B, AR (A. Martinez and R. Benavente), multiple pose, illumination, and expression (multi-PIE), facial recognition technology (FERET), face recognition grand challenge (FRGC), and labeled faces in the wild (LFW), which have different variations of lighting, expression, pose, and occlusions, demonstrating the promising performance of the proposed method.
Neural architecture underlying classification of face perception paradigms.
Laird, Angela R; Riedel, Michael C; Sutherland, Matthew T; Eickhoff, Simon B; Ray, Kimberly L; Uecker, Angela M; Fox, P Mickle; Turner, Jessica A; Fox, Peter T
2015-10-01
We present a novel strategy for deriving a classification system of functional neuroimaging paradigms that relies on hierarchical clustering of experiments archived in the BrainMap database. The goal of our proof-of-concept application was to examine the underlying neural architecture of the face perception literature from a meta-analytic perspective, as these studies include a wide range of tasks. Task-based results exhibiting similar activation patterns were grouped as similar, while tasks activating different brain networks were classified as functionally distinct. We identified four sub-classes of face tasks: (1) Visuospatial Attention and Visuomotor Coordination to Faces, (2) Perception and Recognition of Faces, (3) Social Processing and Episodic Recall of Faces, and (4) Face Naming and Lexical Retrieval. Interpretation of these sub-classes supports an extension of a well-known model of face perception to include a core system for visual analysis and extended systems for personal information, emotion, and salience processing. Overall, these results demonstrate that a large-scale data mining approach can inform the evolution of theoretical cognitive models by probing the range of behavioral manipulations across experimental tasks. Copyright © 2015 Elsevier Inc. All rights reserved.
Cheng, Xue Jun; McCarthy, Callum J; Wang, Tony S L; Palmeri, Thomas J; Little, Daniel R
2018-06-01
Upright faces are thought to be processed more holistically than inverted faces. In the widely used composite face paradigm, holistic processing is inferred from interference in recognition performance from a to-be-ignored face half for upright and aligned faces compared with inverted or misaligned faces. We sought to characterize the nature of holistic processing in composite faces in computational terms. We use logical-rule models (Fifić, Little, & Nosofsky, 2010) and Systems Factorial Technology (Townsend & Nozawa, 1995) to examine whether composite faces are processed through pooling top and bottom face halves into a single processing channel-coactive processing-which is one common mechanistic definition of holistic processing. By specifically operationalizing holistic processing as the pooling of features into a single decision process in our task, we are able to distinguish it from other processing models that may underlie composite face processing. For instance, a failure of selective attention might result even when top and bottom components of composite faces are processed in serial or in parallel without processing the entire face coactively. Our results show that performance is best explained by a mixture of serial and parallel processing architectures across all 4 upright and inverted, aligned and misaligned face conditions. The results indicate multichannel, featural processing of composite faces in a manner inconsistent with the notion of coactivity. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Release of ToxCastDB and ExpoCastDB databases
EPA has released two databases - the Toxicity Forecaster database (ToxCastDB) and a database of chemical exposure studies (ExpoCastDB) - that scientists and the public can use to access chemical toxicity and exposure data. ToxCastDB users can search and download data from over 50...
32 CFR 105.15 - Defense Sexual Assault Incident Database (DSAID).
Code of Federal Regulations, 2013 CFR
2013-07-01
... 32 National Defense 1 2013-07-01 2013-07-01 false Defense Sexual Assault Incident Database (DSAID... Sexual Assault Incident Database (DSAID). (a) Purpose. (1) In accordance with section 563 of Public Law... activities. It shall serve as a centralized, case-level database for the collection and maintenance of...
40 CFR 1400.13 - Read-only database.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 40 Protection of Environment 34 2012-07-01 2012-07-01 false Read-only database. 1400.13 Section... INFORMATION Other Provisions § 1400.13 Read-only database. The Administrator is authorized to establish... public off-site consequence analysis information by means of a central database under the control of the...
42 CFR 455.436 - Federal database checks.
Code of Federal Regulations, 2012 CFR
2012-10-01
... 42 Public Health 4 2012-10-01 2012-10-01 false Federal database checks. 455.436 Section 455.436....436 Federal database checks. The State Medicaid agency must do all of the following: (a) Confirm the... databases. (b) Check the Social Security Administration's Death Master File, the National Plan and Provider...
42 CFR 455.436 - Federal database checks.
Code of Federal Regulations, 2011 CFR
2011-10-01
... 42 Public Health 4 2011-10-01 2011-10-01 false Federal database checks. 455.436 Section 455.436....436 Federal database checks. The State Medicaid agency must do all of the following: (a) Confirm the... databases. (b) Check the Social Security Administration's Death Master File, the National Plan and Provider...
32 CFR 105.15 - Defense Sexual Assault Incident Database (DSAID).
Code of Federal Regulations, 2014 CFR
2014-07-01
... 32 National Defense 1 2014-07-01 2014-07-01 false Defense Sexual Assault Incident Database (DSAID... Sexual Assault Incident Database (DSAID). (a) Purpose. (1) In accordance with section 563 of Public Law... activities. It shall serve as a centralized, case-level database for the collection and maintenance of...
40 CFR 1400.13 - Read-only database.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 40 Protection of Environment 33 2014-07-01 2014-07-01 false Read-only database. 1400.13 Section... INFORMATION Other Provisions § 1400.13 Read-only database. The Administrator is authorized to establish... public off-site consequence analysis information by means of a central database under the control of the...