Sample records for content based zero-watermarking

  1. A QR code based zero-watermarking scheme for authentication of medical images in teleradiology cloud. (United States)

    Seenivasagam, V; Velumani, R


    Healthcare institutions adapt cloud based archiving of medical images and patient records to share them efficiently. Controlled access to these records and authentication of images must be enforced to mitigate fraudulent activities and medical errors. This paper presents a zero-watermarking scheme implemented in the composite Contourlet Transform (CT)-Singular Value Decomposition (SVD) domain for unambiguous authentication of medical images. Further, a framework is proposed for accessing patient records based on the watermarking scheme. The patient identification details and a link to patient data encoded into a Quick Response (QR) code serves as the watermark. In the proposed scheme, the medical image is not subjected to degradations due to watermarking. Patient authentication and authorized access to patient data are realized on combining a Secret Share with the Master Share constructed from invariant features of the medical image. The Hu's invariant image moments are exploited in creating the Master Share. The proposed system is evaluated with Checkmark software and is found to be robust to both geometric and non geometric attacks.

  2. A QR Code Based Zero-Watermarking Scheme for Authentication of Medical Images in Teleradiology Cloud

    Directory of Open Access Journals (Sweden)

    V. Seenivasagam


    Full Text Available Healthcare institutions adapt cloud based archiving of medical images and patient records to share them efficiently. Controlled access to these records and authentication of images must be enforced to mitigate fraudulent activities and medical errors. This paper presents a zero-watermarking scheme implemented in the composite Contourlet Transform (CT—Singular Value Decomposition (SVD domain for unambiguous authentication of medical images. Further, a framework is proposed for accessing patient records based on the watermarking scheme. The patient identification details and a link to patient data encoded into a Quick Response (QR code serves as the watermark. In the proposed scheme, the medical image is not subjected to degradations due to watermarking. Patient authentication and authorized access to patient data are realized on combining a Secret Share with the Master Share constructed from invariant features of the medical image. The Hu’s invariant image moments are exploited in creating the Master Share. The proposed system is evaluated with Checkmark software and is found to be robust to both geometric and non geometric attacks.

  3. A Robust Zero-Watermarking Algorithm for Audio

    Directory of Open Access Journals (Sweden)

    Jie Zhu


    Full Text Available In traditional watermarking algorithms, the insertion of watermark into the host signal inevitably introduces some perceptible quality degradation. Another problem is the inherent conflict between imperceptibility and robustness. Zero-watermarking technique can solve these problems successfully. Instead of embedding watermark, the zero-watermarking technique extracts some essential characteristics from the host signal and uses them for watermark detection. However, most of the available zero-watermarking schemes are designed for still image and their robustness is not satisfactory. In this paper, an efficient and robust zero-watermarking technique for audio signal is presented. The multiresolution characteristic of discrete wavelet transform (DWT, the energy compression characteristic of discrete cosine transform (DCT, and the Gaussian noise suppression property of higher-order cumulant are combined to extract essential features from the host audio signal and they are then used for watermark recovery. Simulation results demonstrate the effectiveness of our scheme in terms of inaudibility, detection reliability, and robustness.

  4. A hybrid digital-signature and zero-watermarking approach for authentication and protection of sensitive electronic documents. (United States)

    Tayan, Omar; Kabir, Muhammad N; Alginahi, Yasser M


    This paper addresses the problems and threats associated with verification of integrity, proof of authenticity, tamper detection, and copyright protection for digital-text content. Such issues were largely addressed in the literature for images, audio, and video, with only a few papers addressing the challenge of sensitive plain-text media under known constraints. Specifically, with text as the predominant online communication medium, it becomes crucial that techniques are deployed to protect such information. A number of digital-signature, hashing, and watermarking schemes have been proposed that essentially bind source data or embed invisible data in a cover media to achieve its goal. While many such complex schemes with resource redundancies are sufficient in offline and less-sensitive texts, this paper proposes a hybrid approach based on zero-watermarking and digital-signature-like manipulations for sensitive text documents in order to achieve content originality and integrity verification without physically modifying the cover text in anyway. The proposed algorithm was implemented and shown to be robust against undetected content modifications and is capable of confirming proof of originality whilst detecting and locating deliberate/nondeliberate tampering. Additionally, enhancements in resource utilisation and reduced redundancies were achieved in comparison to traditional encryption-based approaches. Finally, analysis and remarks are made about the current state of the art, and future research issues are discussed under the given constraints.

  5. Content Based Searching for INIS

    International Nuclear Information System (INIS)

    Jain, V.; Jain, R.K.


    Full text: Whatever a user wants is available on the internet, but to retrieve the information efficiently, a multilingual and most-relevant document search engine is a must. Most current search engines are word based or pattern based. They do not consider the meaning of the query posed to them; purely based on the keywords of the query; no support of multilingual query and and dismissal of nonrelevant results. Current information-retrieval techniques either rely on an encoding process, using a certain perspective or classification scheme, to describe a given item, or perform a full-text analysis, searching for user-specified words. Neither case guarantees content matching because an encoded description might reflect only part of the content and the mere occurrence of a word does not necessarily reflect the document’s content. For general documents, there doesn’t yet seem to be a much better option than lazy full-text analysis, by manually going through those endless results pages. In contrast to this, new search engine should extract the meaning of the query and then perform the search based on this extracted meaning. New search engine should also employ Interlingua based machine translation technology to present information in the language of choice of the user. (author

  6. Metadata for Content-Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Adrian Sterca


    Full Text Available This paper presents an image retrieval technique that combines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both approaches: the speed/efficiency of metadata-based image retrieval and the accuracy/power of content-based image retrieval.

  7. Standards-based Content Resources: A Prerequisite for Content Integration and Content Interoperability

    Directory of Open Access Journals (Sweden)

    Christian Galinski


    Full Text Available Objective: to show how standards-based approaches for content standardization, content management, content related services and tools as well as the respective certification systems not only guarantee reliable content integration and content interoperability, but also are of particular benefit to people with special needs in eAccessibility/eInclusion. Method: document MoU/MG/05 N0221 ''Semantic Interoperability and the need for a coherent policy for a framework of distributed, possibly federated repositories for all kinds of content items on a world-wide scale''2, which was adopted in 2005, was a first step towards the formulation of global interoperability requirements for structured content. These requirements -based on advanced terminological principles- were taken up in EU-projects such as IN-SAFETY (INfrastructure and SAFETY and OASIS (Open architecture for Accessible Services Integration and Standardization. Results: Content integration and content interoperability are key concepts in connection with the emergence of state-of-the-art distributed and federated databases/repositories of structured content. Given the fact that linguistic content items are increasingly combined with or embedded in non-linguistic content items (and vice versa, a systemic and generic approach to data modelling and content management has become the order of the day. Fulfilling the requirements of capability for multilinguality and multimodality, based on open standards makes software and database design fit for eAccessibility/eInclusion from the outset. It also makes structured content capable for global content integration and content interoperability, because it enhances its potential for being re-used and re-purposed in totally different eApplications. Such content as well as the methods, tools and services applied can be subject to new kinds of certification schemes which also should be based on standards. Conclusions: Content must be totally reliable in some

  8. English Institute Content-Based Program Manual. (United States)

    Canada Coll., Redwood City, CA.

    Instructional materials designed for the content-based English as a Second Language program at Canada College's English Institute (EI) are presented in this manual. First, an introduction provides background information on the college, its student body, and the program. Drawing on relevant second language theory, this section offers a definition…

  9. Material Recognition for Content Based Image Retrieval

    NARCIS (Netherlands)

    Geusebroek, J.M.


    One of the open problems in content-based Image Retrieval is the recognition of material present in an image. Knowledge about the set of materials present gives important semantic information about the scene under consideration. For example, detecting sand, sky, and water certainly classifies the

  10. Speech Transduction Based on Linguistic Content

    DEFF Research Database (Denmark)

    Juel Henrichsen, Peter; Christiansen, Thomas Ulrich

    Digital hearing aids use a variety of advanced digital signal processing methods in order to improve speech intelligibility. These methods are based on knowledge about the acoustics outside the ear as well as psychoacoustics. This paper investigates the recent observation that speech elements...... with a high degree of information can be robustly identified based on basic acoustic properties, i.e., function words have greater spectral tilt than content words for each of the 18 Danish talkers investigated. In this paper we examine these spectral tilt differences as a function of time based on a speech...... material six times the duration of previous investigations. Our results show that the correlation of spectral tilt with information content is relatively constant across time, even if averaged across talkers. This indicates that it is possible to devise a robust method for estimating information density...

  11. Content-Based Image Retrial Based on Hadoop

    Directory of Open Access Journals (Sweden)

    DongSheng Yin


    Full Text Available Generally, time complexity of algorithms for content-based image retrial is extremely high. In order to retrieve images on large-scale databases efficiently, a new way for retrieving based on Hadoop distributed framework is proposed. Firstly, a database of images features is built by using Speeded Up Robust Features algorithm and Locality-Sensitive Hashing and then perform the search on Hadoop platform in a parallel way specially designed. Considerable experimental results show that it is able to retrieve images based on content on large-scale cluster and image sets effectively.

  12. Image content authentication based on channel coding (United States)

    Zhang, Fan; Xu, Lei


    The content authentication determines whether an image has been tampered or not, and if necessary, locate malicious alterations made on the image. Authentication on a still image or a video are motivated by recipient's interest, and its principle is that a receiver must be able to identify the source of this document reliably. Several techniques and concepts based on data hiding or steganography designed as a means for the image authentication. This paper presents a color image authentication algorithm based on convolution coding. The high bits of color digital image are coded by the convolution codes for the tamper detection and localization. The authentication messages are hidden in the low bits of image in order to keep the invisibility of authentication. All communications channels are subject to errors introduced because of additive Gaussian noise in their environment. Data perturbations cannot be eliminated but their effect can be minimized by the use of Forward Error Correction (FEC) techniques in the transmitted data stream and decoders in the receiving system that detect and correct bits in error. This paper presents a color image authentication algorithm based on convolution coding. The message of each pixel is convolution encoded with the encoder. After the process of parity check and block interleaving, the redundant bits are embedded in the image offset. The tamper can be detected and restored need not accessing the original image.

  13. Content-Based Instruction and Content and Language Integrated Learning: The Same or Different? (United States)

    Cenoz, Jasone


    This article looks at the characteristics of Content-Based Instruction (CBI) and Content and Language Integrated Learning (CLIL) in order to examine their similarities and differences. The analysis shows that CBI/CLIL programmes share the same essential properties and are not pedagogically different from each other. In fact, the use of an L2 as…

  14. Content based image retrieval based on wavelet transform coefficients distribution. (United States)

    Lamard, Mathieu; Cazuguel, Guy; Quellec, Gwénolé; Bekri, Lynda; Roux, Christian; Cochener, Béatrice


    In this paper we propose a content based image retrieval method for diagnosis aid in medical fields. We characterize images without extracting significant features by using distribution of coefficients obtained by building signatures from the distribution of wavelet transform. The research is carried out by computing signature distances between the query and database images. Several signatures are proposed; they use a model of wavelet coefficient distribution. To enhance results, a weighted distance between signatures is used and an adapted wavelet base is proposed. Retrieval efficiency is given for different databases including a diabetic retinopathy, a mammography and a face database. Results are promising: the retrieval efficiency is higher than 95% for some cases using an optimization process.

  15. Content Based Image Retrieval based on Wavelet Transform coefficients distribution (United States)

    Lamard, Mathieu; Cazuguel, Guy; Quellec, Gwénolé; Bekri, Lynda; Roux, Christian; Cochener, Béatrice


    In this paper we propose a content based image retrieval method for diagnosis aid in medical fields. We characterize images without extracting significant features by using distribution of coefficients obtained by building signatures from the distribution of wavelet transform. The research is carried out by computing signature distances between the query and database images. Several signatures are proposed; they use a model of wavelet coefficient distribution. To enhance results, a weighted distance between signatures is used and an adapted wavelet base is proposed. Retrieval efficiency is given for different databases including a diabetic retinopathy, a mammography and a face database. Results are promising: the retrieval efficiency is higher than 95% for some cases using an optimization process. PMID:18003013

  16. Prenatal Care: A Content-Based ESL Curriculum. (United States)

    Hassel, Elissa Anne

    A content-based curriculum in English as a Second Language (ESL) focusing on prenatal self-care is presented. The course was designed as a solution to the problem of inadequate prenatal care for limited-English-proficient Mexican immigrant women. The first three sections offer background information on and discussion of (1) content-based ESL…

  17. Cobra: A Content-Based Video Retrieval System

    NARCIS (Netherlands)

    Petkovic, M.; Jonker, Willem

    An increasing number of large publicly available video libraries results in a demand for techniques that can manipulate the video data based on content. In this paper, we present a content-based video retrieval system called Cobra. The system supports automatic extraction and retrieval of high-level

  18. Bread Water Content Measurement Based on Hyperspectral Imaging

    DEFF Research Database (Denmark)

    Liu, Zhi; Møller, Flemming


    for bread quality based on near-infrared hyperspectral imaging against the conventional manual loss-in-weight method. For this purpose, the hyperspectral components unmixing technology is used for measuring the water content quantitatively. And the definition on bread water content index is presented......Water content is one of the most important properties of the bread for tasting assesment or store monitoring. Traditional bread water content measurement methods mostly are processed manually, which is destructive and time consuming. This paper proposes an automated water content measurement...

  19. Bread Water Content Measurement Based on Hyperspectral Imaging


    Liu, Zhi; Møller, Flemming


    Water content is one of the most important properties of the bread for tasting assesment or store monitoring. Traditional bread water content measurement methods mostly are processed manually, which is destructive and time consuming. This paper proposes an automated water content measurement for bread quality based on near-infrared hyperspectral imaging against the conventional manual loss-in-weight method. For this purpose, the hyperspectral components unmixing technology is used for measuri...


    Directory of Open Access Journals (Sweden)

    Tengku Nor Rizan Tengku Mohamad Maasum


    Full Text Available Advocates of the content-based approach believed that a language can be learnt effectively when it is the medium of instruction rather than just a subject. Integrating English and content as part of instruction has become one of the cornerstones of second language pedagogy. Researchers claimed that there are many benefits of integrating English and content instruction. Among the benefits are the increase in students’ interest with content themes, meaningful input and understanding. In 2003, the Malaysian Ministry of Education introduced the teaching and learning of science and mathematics in English for Year One, Form One and Lower Six Form in all government public schools. This paper describes the challenges faced by teachers when they are required to teach content subjects such as science and mathematics in English. The focus of the paper is on the teachers’ pedagogical skills and content knowldge which comprises subject matter content, pedagogical approach, classroom management, use of resources, assessment, preparation of teaching materials, managing students, teachers’ compensatory communication strategies, use of first language and teachers’ perspectives of teaching content subjects in English. Data were obtained from a self-report questionnaire administered to 495 secondary school teachers in West Malaysia. Results from the study provide implications for school administrators in making decisions in assignment of capable teachers to teach the various levels of classes. Suggestions for teacher self-development and life-long learning efforts are also provided.

  1. Content-based management service for medical videos. (United States)

    Mendi, Engin; Bayrak, Coskun; Cecen, Songul; Ermisoglu, Emre


    Development of health information technology has had a dramatic impact to improve the efficiency and quality of medical care. Developing interoperable health information systems for healthcare providers has the potential to improve the quality and equitability of patient-centered healthcare. In this article, we describe an automated content-based medical video analysis and management service that provides convenience and ease in accessing the relevant medical video content without sequential scanning. The system facilitates effective temporal video segmentation and content-based visual information retrieval that enable a more reliable understanding of medical video content. The system is implemented as a Web- and mobile-based service and has the potential to offer a knowledge-sharing platform for the purpose of efficient medical video content access.

  2. Teleconsultations using content-based retrieval of parametric images. (United States)

    Ruminski, J


    The problem of medical teleconsultations with intelligent computer system rather than with a human expert is analyzed. System for content-based retrieval of images is described and presented as a use case of a passive teleconsultation. Selected features, crucial for retrieval quality, are introduced including: synthesis of parametric images, regions of interest detection and extraction, definition of content-based features, generation of descriptors, query algebra, system architecture and performance. Additionally, electronic business pattern is proposed to generalize teleconsultation services like content-based retrieval systems.

  3. Rock and Roll English Teaching: Content-Based Cultural Workshops (United States)

    Robinson, Tim


    In this article, the author shares a content-based English as a Second/Foreign Language (ESL/EFL) workshop that strengthens language acquisition, increases intrinsic motivation, and bridges cultural divides. He uses a rock and roll workshop to introduce an organizational approach with a primary emphasis on cultural awareness content and a…

  4. Lycopene Content of Selected Tomato Based Products, Fruits and ...

    African Journals Online (AJOL)

    The Lycopene content of selected tomato based products, fruits and vegetables, commonly consumed in South Western Nigeria were determined using theoretical and experimental method. The lycopene content in tomato pastes ranged from 50.97±1.08 mg/kg in vitali tomato paste to 68.12±1.44 mg/kg in Gino tomato paste ...

  5. Privacy-Preserving Content-Based Recommender System

    NARCIS (Netherlands)

    Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.


    By offering personalized content to users, recommender systems have become a vital tool in e-commerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or consumed. Unfortunately, collecting and storing

  6. Automatic Generation of Map-Based Interface for VRML Contents (United States)

    Araya, Shinji; Suzaki, Kenichi; Miyake, Yoshihiro

    The paper proposes a Web page that can automatically generate a map-based interface for any VRML contents on the Web. This new approach reduces map development costs and provides a common interface to the users. 3D contents reconstruction is distributed among the client computers to guarantee Web service efficiency.

  7. Privacy-Preserving Content-Based Recommendations through Homomorphic Encryption

    NARCIS (Netherlands)

    Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.


    By offering personalized content to users, recommender systems have become a vital tool in ecommerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or consumed. Unfortunately, collecting and storing


    Directory of Open Access Journals (Sweden)

    Tengku Nor Rizan Tengku Mohamad Maasum


    Full Text Available Abstract: Advocates of the content-based approach believed that a language can be learnt effectively when it is the medium of instruction rather than just a subject.  Integrating English and content as part of instruction has become one of the cornerstones of second language pedagogy. Researchers claimed that there are many benefits of integrating English and content instruction.  Among the benefits are the increase in students’ interest with content themes, meaningful input and understanding. In 2003, the Malaysian Ministry of Education introduced the teaching and learning of science and mathematics in English for Year One, Form One and Lower Six Form in all government public schools. This paper describes the challenges faced by teachers when they are required to teach content subjects such as science and mathematics in English.  The focus of the paper is on the teachers’ pedagogical skills  and content knowldge which comprises subject matter content, pedagogical approach, classroom management, use of resources, assessment, preparation of teaching materials, managing students, teachers’ compensatory communication strategies, use of first language and teachers’ perspectives of teaching content subjects in English. Data were obtained from a self-report questionnaire administered to 495 secondary school teachers in West Malaysia. Results from the study provide implications for school administrators in making decisions in assignment of  capable teachers to teach the various levels of classes. Suggestions for teacher self-development and life-long learning efforts are also provided.   Key words: Content-based instruction, ESL instruction, second language, first language and second language pedagogy

  9. Natural ingredients based cosmetics. Content of selected fragrance sensitizers

    DEFF Research Database (Denmark)

    Rastogi, Suresh Chandra; Johansen, J D; Menné, T


    In the present study, we have investigated 42 cosmetic products based on natural ingredients for content of 11 fragrance substances: geraniol, hydroxycitronellal, eugenol, isoeugenol, cinnamic aldehyde, cinnamic alcohol, alpha-amylcinnamic aldehyde, citral, coumarin, dihydrocoumarin and alpha...

  10. Density-based similarity measures for content based search

    Energy Technology Data Exchange (ETDEWEB)

    Hush, Don R [Los Alamos National Laboratory; Porter, Reid B [Los Alamos National Laboratory; Ruggiero, Christy E [Los Alamos National Laboratory


    We consider the query by multiple example problem where the goal is to identify database samples whose content is similar to a coUection of query samples. To assess the similarity we use a relative content density which quantifies the relative concentration of the query distribution to the database distribution. If the database distribution is a mixture of the query distribution and a background distribution then it can be shown that database samples whose relative content density is greater than a particular threshold {rho} are more likely to have been generated by the query distribution than the background distribution. We describe an algorithm for predicting samples with relative content density greater than {rho} that is computationally efficient and possesses strong performance guarantees. We also show empirical results for applications in computer network monitoring and image segmentation.

  11. A study of real-time content marketing : formulating real-time content marketing based on content, search and social media


    Nguyen, Thi Kim Duyen


    The primary objective of this research is to understand profoundly the new concept of content marketing – real-time content marketing on the aspect of the digital marketing experts. Particularly, the research will focus on the real-time content marketing theories and how to build real-time content marketing strategy based on content, search and social media. It also finds out how marketers measure and keep track of conversion rates of their real-time content marketing plan. Practically, th...

  12. Developing Content and Form: Encouraging Evidence from Italian Content-Based Instruction (United States)

    Rodgers, Daryl M.


    Swain (1985) pointed out the need for increased modified output in the classroom in order to encourage learners to engage in more syntactic processing and, thus, make more form-meaning connections. Research in content-based instruction (CBI) ( Musumeci, 1996; Pica, 2002) has revealed few occasions of pushed modified output from learners.…

  13. Content

    DEFF Research Database (Denmark)

    Keiding, Tina Bering

    Aim, content and methods are fundamental categories of both theoretical and practical general didactics. A quick glance in recent pedagogical literature on higher education, however, reveals a strong preoccupation with methods, i.e. how teaching should be organized socially (Biggs & Tang, 2007......, is subordinating content to methods as seen in modern didactics, hereby transforming content to a medium for achievement of learning-to-learn skills rather than something valuable in its own right. At the level of general didactics quite few attempts have been made to formulate criteria and categories...... secondary levels. In subject matter didactics, the question of content is more developed, but it is still mostly confined to teaching on lower levels. As for higher education didactics, discussions on selection of content are almost non-existent on the programmatic level. Nevertheless, teachers are forced...

  14. DNA methylation detection based on difference of base content (United States)

    Sato, Shinobu; Ohtsuka, Keiichi; Honda, Satoshi; Sato, Yusuke; Takenaka, Shigeori


    Methylation frequently occurs in cytosines of CpG sites to regulate gene expression. The identification of aberrant methylation of certain genes is important for cancer marker analysis. The aim of this study was to determine the methylation frequency in DNA samples of unknown length and/or concentration. Unmethylated cytosine is known to be converted to thymine following bisulfite treatment and subsequent PCR. For this reason, the AT content in DNA increases with an increasing number of methylation sites. In this study, the fluorescein-carrying bis-acridinyl peptide (FKA) molecule was used for the detection of methylation frequency. FKA contains fluorescein and two acridine moieties, which together allow for the determination of the AT content of double-stranded DNA fragments. Methylated and unmethylated human genomes were subjected to bisulfide treatment and subsequent PCR using primers specific for the CFTR, CDH4, DBC1, and NPY genes. The AT content in the resulting PCR products was estimated by FKA, and AT content estimations were found to be in good agreement with those determined by DNA sequencing. This newly developed method may be useful for determining methylation frequencies of many PCR products by measuring the fluorescence in samples excited at two different wavelengths.

  15. A Database Approach to Content-based XML retrieval

    NARCIS (Netherlands)

    Hiemstra, Djoerd


    This paper describes a rst prototype system for content-based retrieval from XML data. The system's design supports both XPath queries and complex information retrieval queries based on a language modelling approach to information retrieval. Evaluation using the INEX benchmark shows that it is

  16. Human-Centered Content-Based Image Retrieval

    NARCIS (Netherlands)

    van den Broek, Egon; Kok, Thijs; Schouten, Theo E.; Vuurpijl, Louis G.; Rogowitz, Bernice E.; Pappas, Thrasyvoulos N.


    A breakthrough is needed in order to achieve a substantial progress in the field of Content-Based Image Retrieval (CBIR). This breakthrough can be enforced by: 1) optimizing user-system interaction, 2) combining the wealth of techniques from text-based Information Retrieval with CBIR techniques, 3)

  17. Enhancing Image Retrieval System Using Content Based Search ...

    African Journals Online (AJOL)

    ... performing the search on the entire image database, the image category option directs the retrieval engine to the specified category. Also, there is provision to update or modify the different image categories in the image database as need arise. Keywords: Content-based, Multimedia, Search Engine, Image-based, Texture ...

  18. Content-Based Design and Implementation of Ambient Intelligence Applications

    NARCIS (Netherlands)

    Diggelen, J. van; Grootjen, M.; Ubink, E.M.; Zomeren, M. van; Smets, N.J.J.M.


    Optimal support of professionals in complex ambient task environments requires a system that delivers the Right Message at the Right Moment in the Right Modality: (RM)3. This paper describes a content-based design methodology and an agent-based architecture to enable real time decisions of

  19. Content-Based Retrieval of Spatio-Temporal Video Events

    NARCIS (Netherlands)

    Petkovic, M.; Jonker, Willem


    This paper addresses content-based video retrieval with an emphasis on spatio-temporal modeling and querying of events. Our approach is based on a layered model that guides the process of translating raw video data into an efficient internal representation that captures video semantics. We also

  20. EFL and Educational Reform: Content-Based Instruction in Argentina. (United States)

    Snow, Marguerite Ann; Cortes, Viviana; Pron, Alejandra V.


    Discusses initial experiences with content-based instruction in Argentina. The new approach was precipitated in part by educational reform. Suggests that the dramatic shift from a grammar-based approach to a communicative approach, and the use of language as a tool for instruction may become overwhelming for most teachers. (Author/VWL)

  1. Feature representation and compression for content-based retrieval (United States)

    Xie, Hua; Ortega, Antonio


    In semantic content-based image/video browsing and navigation systems, efficient mechanisms to represent and manage a large collection of digital images/videos are needed. Traditional keyword-based indexing describes the content of multimedia data through annotations such as text or keywords extracted manually by the user from a controlled vocabulary. This textual indexing technique lacks the flexibility of satisfying various kinds of queries requested by database users and also requires huge amount of work for updating the information. Current content-based retrieval systems often extract a set of features such as color, texture, shape motion, speed, and position from the raw multimedia data automatically and store them as content descriptors. This content-based metadata differs from text-based metadata in that it supports wider varieties of queries and can be extracted automatically, thus providing a promising approach for efficient database access and management. When the raw data volume grows very large, explicitly extracting the content-information and storing it as metadata along with the images will improve querying performance since metadata requires much less storage than the raw image data and thus will be easier to manipulate. In this paper we maintain that storing metadata together with images will enable effective information management and efficient remote query. We also show, using a texture classification example, that this side information can be compressed while guaranteeing that the desired query accuracy is satisfied. We argue that the compact representation of the image contents not only reduces significantly the storage and transmission rate requirement, but also facilitates certain types of queries. Algorithms are developed for optimized compression of this texture feature metadata given that the goal is to maximize the classification performance for a given rate budget.

  2. [Hyperspectrum based prediction model for nitrogen content of apple flowers]. (United States)

    Zhu, Xi-Cun; Zhao, Geng-Xing; Wang, Ling; Dong, Fang; Lei, Tong; Zhan, Bing


    The present paper aims to quantitatively retrieve nitrogen content in apple flowers, so as to provide an important basis for apple informationization management. By using ASD FieldSpec 3 field spectrometer, hyperspectral reflectivity of 120 apple flower samples in full-bloom stage was measured and their nitrogen contents were analyzed. Based on the apple flower original spectrum and first derivative spectral characteristics, correlation analysis was carried out between apple flowers original spectrum and first derivative spectrum reflectivity and nitrogen contents, so as to determine the sensitive bands. Based on characteristic spectral parameters, prediction models were built, optimized and tested. The results indicated that the nitrogen content of apple was very significantly negatively correlated with the original spectral reflectance in the 374-696, 1 340-1 890 and 2 052-2 433 nm, while in 736-913 nm they were very significantly positively correlated; the first derivative spectrum in 637-675 nm was very significantly negatively correlated, and in 676-746 nm was very significantly positively correlated. All the six spectral parameters established were significantly correlated with the nitrogen content of apple flowers. Through further comparison and selection, the prediction models built with original spectral reflectance of 640 and 676 nm were determined as the best for nitrogen content prediction of apple flowers. The test results showed that the coefficients of determination (R2) of the two models were 0.825 8 and 0.893 6, the total root mean square errors (RMSE) were 0.732 and 0.638 6, and the slopes were 0.836 1 and 1.019 2 respectively. Therefore the models produced desired results for nitrogen content prediction of apple flowers with average prediction accuracy of 92.9% and 94.0%. This study will provide theoretical basis and technical support for rapid apple flower nitrogen content prediction and nutrition diagnosis.

  3. Content-based analysis and indexing of sports video (United States)

    Luo, Ming; Bai, Xuesheng; Xu, Guang-you


    An explosion of on-line image and video data in digital form is already well underway. With the exponential rise in interactive information exploration and dissemination through the World-Wide Web, the major inhibitors of rapid access to on-line video data are the management of capture and storage, and content-based intelligent search and indexing techniques. This paper proposes an approach for content-based analysis and event-based indexing of sports video. It includes a novel method to organize shots - classifying shots as close shots and far shots, an original idea of blur extent-based event detection, and an innovative local mutation-based algorithm for caption detection and retrieval. Results on extensive real TV programs demonstrate the applicability of our approach.

  4. Human-Centered Content-Based Image Retrieval

    NARCIS (Netherlands)

    van den Broek, Egon


    Retrieval of images that lack a (suitable) annotations cannot be achieved through (traditional) Information Retrieval (IR) techniques. Access through such collections can be achieved through the application of computer vision techniques on the IR problem, which is baptized Content-Based Image

  5. Content Analysis of a Computer-Based Faculty Activity Repository (United States)

    Baker-Eveleth, Lori; Stone, Robert W.


    The research presents an analysis of faculty opinions regarding the introduction of a new computer-based faculty activity repository (FAR) in a university setting. The qualitative study employs content analysis to better understand the phenomenon underlying these faculty opinions and to augment the findings from a quantitative study. A web-based…

  6. Fast Content-Based Packet Handling for Intrusion Detection

    National Research Council Canada - National Science Library

    Fisk, Mike


    ... use of Royer-Moore currently used in the popular intrusion detection platform Snort. We then measure the actual performance of several search algorithms on actual packet traces and rulesets. Our results provide lessons on the structuring of content-based handlers.

  7. Application of Bayesian Classification to Content-Based Data Management (United States)

    Lynnes, Christopher; Berrick, S.; Gopalan, A.; Hua, X.; Shen, S.; Smith, P.; Yang, K-Y.; Wheeler, K.; Curry, C.


    The high volume of Earth Observing System data has proven to be challenging to manage for data centers and users alike. At the Goddard Earth Sciences Distributed Active Archive Center (GES DAAC), about 1 TB of new data are archived each day. Distribution to users is also about 1 TB/day. A substantial portion of this distribution is MODIS calibrated radiance data, which has a wide variety of uses. However, much of the data is not useful for a particular user's needs: for example, ocean color users typically need oceanic pixels that are free of cloud and sun-glint. The GES DAAC is using a simple Bayesian classification scheme to rapidly classify each pixel in the scene in order to support several experimental content-based data services for near-real-time MODIS calibrated radiance products (from Direct Readout stations). Content-based subsetting would allow distribution of, say, only clear pixels to the user if desired. Content-based subscriptions would distribute data to users only when they fit the user's usability criteria in their area of interest within the scene. Content-based cache management would retain more useful data on disk for easy online access. The classification may even be exploited in an automated quality assessment of the geolocation product. Though initially to be demonstrated at the GES DAAC, these techniques have applicability in other resource-limited environments, such as spaceborne data systems.

  8. Content-Based Information Retrieval from Forensic Databases

    NARCIS (Netherlands)

    Geradts, Z.J.M.H.


    In forensic science, the number of image databases is growing rapidly. For this reason, it is necessary to have a proper procedure for searching in these images databases based on content. The use of image databases results in more solved crimes; furthermore, statistical information can be obtained

  9. Text mining of web-based medical content

    CERN Document Server

    Neustein, Amy


    Text Mining of Web-Based Medical Content examines web mining for extracting useful information that can be used for treating and monitoring the healthcare of patients. This work provides methodological approaches to designing mapping tools that exploit data found in social media postings. Specific linguistic features of medical postings are analyzed vis-a-vis available data extraction tools for culling useful information.

  10. Student engagement with a content-based learning design

    Directory of Open Access Journals (Sweden)

    Brenda Cecilia Padilla Rodriguez


    Full Text Available While learning is commonly conceptualised as a social, collaborative process in organisations, online courses often provide limited opportunities for communication between people. How do students engage with content-based courses? How do they find answers to their questions? How do they achieve the learning outcomes? This paper aims to answer these questions by focusing on students’ experiences in an online content-based course delivered in a large Mexican organisation. Sales supervisors (n=47 participated as students. Four main data sources were used to evaluate engagement with and learning from the course: surveys (n=40, think-aloud sessions (n=8, activity logs (n=47 and exams (n=43. Findings suggest that: (1 Students engage with a content-based course by following the guidance available and attempting to make the materials relevant to their own context. (2 Students are resourceful when trying to find support. If the materials do not provide the answers to their questions, they search for alternatives such as colleagues to talk to. (3 Content-based online learning designs may be engaging and effective. However, broadening the range of support options available to students may derive in more meaningful, contextualised and rewarding learning experiences.

  11. Concept-Based Content of Professional Linguistic Education (United States)

    Makshantseva, Nataliia Veniaminovna; Bankova, Liudmila Lvovna


    The article deals with professional education of future linguists built on the basis of conceptual approach. The topic is exemplified by the Russian language and a successful attempt to implement the concept-based approach to forming the content of professional language education. Within the framework of the proposed research, the concept is…

  12. 2D/3D video content adaptation decision engine based on content classification and user assessment (United States)

    Fernandes, Rui; Andrade, M. T.


    Multimedia adaptation depends on several factors, such as the content itself, the consumption device and its characteristics, the transport and access networks and the user. An adaptation decision engine, in order to provide the best possible Quality of Experience to a user, needs to have information about all variables that may influence its decision. For the aforementioned factors, we implement content classification, define device classes, consider limited bandwidth scenarios and categorize user preferences based on a subjective quality evaluation test. The results of these actions generate vital information to pass to the adaptation decision engine so that its operation may provide the indication of the most suitable adaptation to perform that delivers the best possible outcome for the user under the existing constraints.

  13. Content-based music recommendation using underlying music preference structure


    Soleymani M.; Aljanaki A.; Wiering F.; Veltkamp R.C.


    The cold start problem for new users or items is a great challenge for recommender systems. New items can be positioned within the existing items using a similarity metric to estimate their ratings. However, the calculation of similarity varies by domain and available resources. In this paper, we propose a content-based music recommender system which is based on a set of attributes derived from psychological studies of music preference. These five attributes, namely, Mellow, Unpretentious, So...

  14. Semantic content-based recommendations using semantic graphs. (United States)

    Guo, Weisen; Kraines, Steven B


    Recommender systems (RSs) can be useful for suggesting items that might be of interest to specific users. Most existing content-based recommendation (CBR) systems are designed to recommend items based on text content, and the items in these systems are usually described with keywords. However, similarity evaluations based on keywords suffer from the ambiguity of natural languages. We present a semantic CBR method that uses Semantic Web technologies to recommend items that are more similar semantically with the items that the user prefers. We use semantic graphs to represent the items and we calculate the similarity scores for each pair of semantic graphs using an inverse graph frequency algorithm. The items having higher similarity scores to the items that are known to be preferred by the user are recommended.

  15. Hardware emulation of Memristor based Ternary Content Addressable Memory

    KAUST Repository

    Bahloul, Mohamed A.


    MTCAM (Memristor Ternary Content Addressable Memory) is a special purpose storage medium in which data could be retrieved based on the stored content. Using Memristors as the main storage element provides the potential of achieving higher density and more efficient solutions than conventional methods. A key missing item in the validation of such approaches is the wide spread availability of hardware emulation platforms that can provide reliable and repeatable performance statistics. In this paper, we present a hardware MTCAM emulation based on 2-Transistors-2Memristors (2T2M) bit-cell. It builds on a bipolar memristor model with storing and fetching capabilities based on the actual current-voltage behaviour. The proposed design offers a flexible verification environment with quick design revisions, high execution speeds and powerful debugging techniques. The proposed design is modeled using VHDL and prototyped on Xilinx Virtex® FPGA.

  16. Resistive content addressable memory based in-memory computation architecture

    KAUST Repository

    Salama, Khaled N.


    Various examples are provided examples related to resistive content addressable memory (RCAM) based in-memory computation architectures. In one example, a system includes a content addressable memory (CAM) including an array of cells having a memristor based crossbar and an interconnection switch matrix having a gateless memristor array, which is coupled to an output of the CAM. In another example, a method, includes comparing activated bit values stored a key register with corresponding bit values in a row of a CAM, setting a tag bit value to indicate that the activated bit values match the corresponding bit values, and writing masked key bit values to corresponding bit locations in the row of the CAM based on the tag bit value.

  17. Biogas slurry pricing method based on nutrient content (United States)

    Zhang, Chang-ai; Guo, Honghai; Yang, Zhengtao; Xin, Shurong


    In order to promote biogas-slurry commercialization, A method was put forward to valuate biogas slurry based on its nutrient contents. Firstly, element contents of biogas slurry was measured; Secondly, each element was valuated based on its market price, and then traffic cost, using cost and market effect were taken into account, the pricing method of biogas slurry were obtained lastly. This method could be useful in practical production. Taking cattle manure raw meterial biogas slurry and con stalk raw material biogas slurry for example, their price were 38.50 yuan RMB per ton and 28.80 yuan RMB per ton. This paper will be useful for recognizing the value of biogas projects, ensuring biogas project running, and instructing the cyclic utilization of biomass resources in China.

  18. Content and user-based music visual analysis (United States)

    Guo, Xiaochun; Tang, Lei


    In recent years, people's ability to collect music got enhanced greatly. Many people who prefer listening music offline even stored thousands of music on their local storage or portable device. However, their ability to deal with music information has not been improved accordingly, which results in two problems. One is how to find out the favourite songs from large music dataset and satisfy different individuals. The other one is how to compose a play list quickly. To solve these problems, the authors proposed a content and user-based music visual analysis approach. We first developed a new recommendation algorithm based on the content of music and user's behaviour, which satisfy individual's preference. Then, we make use of visualization and interaction tools to illustrate the relationship between songs and help people compose a suitable play list. At the end of this paper, a survey is mentioned to show that our system is available and effective.





    Content-based image retrieval (CBIR) is an important research area for manipulating large amount of image databases and archives. Extraction of invariant features is the basis of CBIR. This paper focuses on the problem of texture, color& shape feature extractions. Using just one feature information for comparing images may cause inaccuracy than compared with using more than one features. Therefore many image retrieval system use many feature information like color, shape and other features. W...

  20. Retinal image quality assessment based on image clarity and content (United States)

    Abdel-Hamid, Lamiaa; El-Rafei, Ahmed; El-Ramly, Salwa; Michelson, Georg; Hornegger, Joachim


    Retinal image quality assessment (RIQA) is an essential step in automated screening systems to avoid misdiagnosis caused by processing poor quality retinal images. A no-reference transform-based RIQA algorithm is introduced that assesses images based on five clarity and content quality issues: sharpness, illumination, homogeneity, field definition, and content. Transform-based RIQA algorithms have the advantage of considering retinal structures while being computationally inexpensive. Wavelet-based features are proposed to evaluate the sharpness and overall illumination of the images. A retinal saturation channel is designed and used along with wavelet-based features for homogeneity assessment. The presented sharpness and illumination features are utilized to assure adequate field definition, whereas color information is used to exclude nonretinal images. Several publicly available datasets of varying quality grades are utilized to evaluate the feature sets resulting in area under the receiver operating characteristic curve above 0.99 for each of the individual feature sets. The overall quality is assessed by a classifier that uses the collective features as an input vector. The classification results show superior performance of the algorithm in comparison to other methods from literature. Moreover, the algorithm addresses efficiently and comprehensively various quality issues and is suitable for automatic screening systems.

  1. Information Theoretical Analysis of Identification based on Active Content Fingerprinting


    Farhadzadeh, Farzad; Willems, Frans M. J.; Voloshinovskiy, Sviatoslav


    Content fingerprinting and digital watermarking are techniques that are used for content protection and distribution monitoring. Over the past few years, both techniques have been well studied and their shortcomings understood. Recently, a new content fingerprinting scheme called {\\em active content fingerprinting} was introduced to overcome these shortcomings. Active content fingerprinting aims to modify a content to extract robuster fingerprints than the conventional content fingerprinting....

  2. Practical life log video indexing based on content and context (United States)

    Tancharoen, Datchakorn; Yamasaki, Toshihiko; Aizawa, Kiyoharu


    Today, multimedia information has gained an important role in daily life and people can use imaging devices to capture their visual experiences. In this paper, we present our personal Life Log system to record personal experiences in form of wearable video and environmental data; in addition, an efficient retrieval system is demonstrated to recall the desirable media. We summarize the practical video indexing techniques based on Life Log content and context to detect talking scenes by using audio/visual cues and semantic key frames from GPS data. Voice annotation is also demonstrated as a practical indexing method. Moreover, we apply body media sensors to record continuous life style and use body media data to index the semantic key frames. In the experiments, we demonstrated various video indexing results which provided their semantic contents and showed Life Log visualizations to examine personal life effectively.

  3. Contents

    Directory of Open Access Journals (Sweden)

    Editor IJRED


    Full Text Available International Journal of Renewable Energy Development Volume 1             Number 3            October 2012                ISSN 2252- 4940   CONTENTS OF ARTICLES page Design and Economic Analysis of a Photovoltaic System: A Case Study 65-73 C.O.C. Oko , E.O. Diemuodeke, N.F. Omunakwe, and E. Nnamdi     Development of Formaldehyde Adsorption using Modified Activated Carbon – A Review 75-80 W.D.P Rengga , M. Sudibandriyo and M. Nasikin     Process Optimization for Ethyl Ester Production in Fixed Bed Reactor Using Calcium Oxide Impregnated Palm Shell Activated Carbon (CaO/PSAC 81-86 A. Buasri , B. Ksapabutr, M. Panapoy and N. Chaiyut     Wind Resource Assessment in Abadan Airport in Iran 87-97 Mojtaba Nedaei       The Energy Processing by Power Electronics and its Impact on Power Quality 99-105 J. E. Rocha and B. W. D. C. Sanchez       First Aspect of Conventional Power System Assessment for High Wind Power Plants Penetration 107-113 A. Merzic , M. Music, and M. Rascic   Experimental Study on the Production of Karanja Oil Methyl Ester and Its Effect on Diesel Engine 115-122 N. Shrivastava,  , S.N. Varma and M. Pandey  

  4. The Use of QBIC Content-Based Image Retrieval System

    Directory of Open Access Journals (Sweden)

    Ching-Yi Wu


    Full Text Available The fast increase in digital images has caught increasing attention on the development of image retrieval technologies. Content-based image retrieval (CBIR has become an important approach in retrieving image data from a large collection. This article reports our results on the use and users study of a CBIR system. Thirty-eight students majored in art and design were invited to use the IBM’s OBIC (Query by Image Content system through the Internet. Data from their information needs, behaviors, and retrieval strategies were collected through an in-depth interview, observation, and self-described think-aloud process. Important conclusions are:(1)There are four types of information needs for image data: implicit, inspirational, ever-changing, and purposive. The types of needs may change during the retrieval process. (2)CBIR is suitable for the example-type query, text retrieval is suitable for the scenario-type query, and image browsing is suitable for the symbolic query. (3)Different from text retrieval, detailed description of the query condition may lead to retrieval failure more easily. (4)CBIR is suitable for the domain-specific image collection, not for the images on the Word-Wide Web.[Article content in Chinese

  5. Directing the public to evidence-based online content. (United States)

    Cooper, Crystale Purvis; Gelb, Cynthia A; Vaughn, Alexandra N; Smuland, Jenny; Hughes, Alexandra G; Hawkins, Nikki A


    To direct online users searching for gynecologic cancer information to accurate content, the Centers for Disease Control and Prevention's (CDC) 'Inside Knowledge: Get the Facts About Gynecologic Cancer' campaign sponsored search engine advertisements in English and Spanish. From June 2012 to August 2013, advertisements appeared when US Google users entered search terms related to gynecologic cancer. Users who clicked on the advertisements were directed to relevant content on the CDC website. Compared with the 3 months before the initiative (March-May 2012), visits to the CDC web pages linked to the advertisements were 26 times higher after the initiative began (June-August 2012) (padvertisements were supplemented with promotion on television and additional websites (September 2012-August 2013) (padvertisements can direct users to evidence-based content at a highly teachable moment--when they are seeking relevant information. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email:

  6. Content-based retrieval in videos from laparoscopic surgery (United States)

    Schoeffmann, Klaus; Beecks, Christian; Lux, Mathias; Uysal, Merih Seran; Seidl, Thomas


    In the field of medical endoscopy more and more surgeons are changing over to record and store videos of their endoscopic procedures for long-term archival. These endoscopic videos are a good source of information for explanations to patients and follow-up operations. As the endoscope is the "eye of the surgeon", the video shows the same information the surgeon has seen during the operation, and can describe the situation inside the patient much more precisely than an operation report would do. Recorded endoscopic videos can also be used for training young surgeons and in some countries the long-term archival of video recordings from endoscopic procedures is even enforced by law. A major challenge, however, is to efficiently access these very large video archives for later purposes. One problem, for example, is to locate specific images in the videos that show important situations, which are additionally captured as static images during the procedure. This work addresses this problem and focuses on contentbased video retrieval in data from laparoscopic surgery. We propose to use feature signatures, which can appropriately and concisely describe the content of laparoscopic images, and show that by using this content descriptor with an appropriate metric, we are able to efficiently perform content-based retrieval in laparoscopic videos. In a dataset with 600 captured static images from 33 hours recordings, we are able to find the correct video segment for more than 88% of these images.

  7. Intelligent Aggregation Based on Content Routing Scheme for Cloud Computing

    Directory of Open Access Journals (Sweden)

    Jiachen Xu


    Full Text Available Cloud computing has emerged as today’s most exciting computing paradigm for providing services using a shared framework, which opens a new door for solving the problems of the explosive growth of digital resource demands and their corresponding convenience. With the exponential growth of the number of data types and data size in so-called big data work, the backbone network is under great pressure due to its transmission capacity, which is lower than the growth of the data size and would seriously hinder the development of the network without an effective approach to solve this problem. In this paper, an Intelligent Aggregation based on a Content Routing (IACR scheme for cloud computing, which could reduce the amount of data in the network effectively and play a basic supporting role in the development of cloud computing, is first put forward. All in all, the main innovations in this paper are: (1 A framework for intelligent aggregation based on content routing is proposed, which can support aggregation based content routing; (2 The proposed IACR scheme could effectively route the high aggregation ratio data to the data center through the same routing path so as to effectively reduce the amount of data that the network transmits. The theoretical analyses experiments and results show that, compared with the previous original routing scheme, the IACR scheme can balance the load of the whole network, reduce the amount of data transmitted in the network by 41.8%, and reduce the transmission time by 31.6% in the same network with a more balanced network load.

  8. Content-based classification and retrieval of audio (United States)

    Zhang, Tong; Kuo, C.-C. Jay


    An on-line audio classification and segmentation system is presented in this research, where audio recordings are classified and segmented into speech, music, several types of environmental sounds and silence based on audio content analysis. This is the first step of our continuing work towards a general content-based audio classification and retrieval system. The extracted audio features include temporal curves of the energy function,the average zero- crossing rate, the fundamental frequency of audio signals, as well as statistical and morphological features of these curves. The classification result is achieved through a threshold-based heuristic procedure. The audio database that we have built, details of feature extraction, classification and segmentation procedures, and experimental results are described. It is shown that, with the proposed new system, audio recordings can be automatically segmented and classified into basic types in real time with an accuracy of over 90 percent. Outlines of further classification of audio into finer types and a query-by-example audio retrieval system on top of the coarse classification are also introduced.

  9. Personalization of XML Content Browsing Based on User Preferences (United States)

    Encelle, Benoit; Baptiste-Jessel, Nadine; Sedes, Florence


    Personalization of user interfaces for browsing content is a key concept to ensure content accessibility. In this direction, we introduce concepts that result in the generation of personalized multimodal user interfaces for browsing XML content. User requirements concerning the browsing of a specific content type can be specified by means of…

  10. Hierarchical system for content-based audio classification and retrieval (United States)

    Zhang, Tong; Kuo, C.-C. Jay


    A hierarchical system for audio classification and retrieval based on audio content analysis is presented in this paper. The system consists of three stages. The audio recordings are first classical and segmented into speech, music, several types of environmental sounds, and silence, based on morphological and statistical analysis of temporal curves of the energy function, the average zero-crossing rate, and the fundamental frequency of audio signals. The first stage is called the coarse-level audio classification and segmentation. Then, environmental sounds are classified into finer classes such as applause, rain, birds' sound, etc., which is called the fine-level audio classification. The second stage is based on time-frequency analysis of audio signals and the use of the hidden Markov model (HMM) for classification. In the third stage, the query-by-example audio retrieval is implemented where similar sounds can be found according to the input sample audio. The way of modeling audio features with the hidden Markov model, the procedures of audio classification and retrieval, and the experimental results are described. It is shown that, with the proposed new system, audio recordings can be automatically segmented and classified into basic types in real time with an accuracy higher than 90%. Examples of audio fine classification and audio retrieval with the proposed HMM-based method are also provided.

  11. Retrieval Architecture with Classified Query for Content Based Image Recognition

    Directory of Open Access Journals (Sweden)

    Rik Das


    Full Text Available The consumer behavior has been observed to be largely influenced by image data with increasing familiarity of smart phones and World Wide Web. Traditional technique of browsing through product varieties in the Internet with text keywords has been gradually replaced by the easy accessible image data. The importance of image data has portrayed a steady growth in application orientation for business domain with the advent of different image capturing devices and social media. The paper has described a methodology of feature extraction by image binarization technique for enhancing identification and retrieval of information using content based image recognition. The proposed algorithm was tested on two public datasets, namely, Wang dataset and Oliva and Torralba (OT-Scene dataset with 3688 images on the whole. It has outclassed the state-of-the-art techniques in performance measure and has shown statistical significance.

  12. Web Pages Content Analysis Using Browser-Based Volunteer Computing

    Directory of Open Access Journals (Sweden)

    Wojciech Turek


    Full Text Available Existing solutions to the problem of finding valuable information on the Websuffers from several limitations like simplified query languages, out-of-date in-formation or arbitrary results sorting. In this paper a different approach to thisproblem is described. It is based on the idea of distributed processing of Webpages content. To provide sufficient performance, the idea of browser-basedvolunteer computing is utilized, which requires the implementation of text pro-cessing algorithms in JavaScript. In this paper the architecture of Web pagescontent analysis system is presented, details concerning the implementation ofthe system and the text processing algorithms are described and test resultsare provided.

  13. Content-based Music Search and Recommendation System (United States)

    Takegawa, Kazuki; Hijikata, Yoshinori; Nishida, Shogo

    Recently, the turn volume of music data on the Internet has increased rapidly. This has increased the user's cost to find music data suiting their preference from such a large data set. We propose a content-based music search and recommendation system. This system has an interface for searching and finding music data and an interface for editing a user profile which is necessary for music recommendation. By exploiting the visualization of the feature space of music and the visualization of the user profile, the user can search music data and edit the user profile. Furthermore, by exploiting the infomation which can be acquired from each visualized object in a mutually complementary manner, we make it easier for the user to search music data and edit the user profile. Concretely, the system gives to the user an information obtained from the user profile when searching music data and an information obtained from the feature space of music when editing the user profile.

  14. Incorporating Semantics into Data Driven Workflows for Content Based Analysis (United States)

    Argüello, M.; Fernandez-Prieto, M. J.

    Finding meaningful associations between text elements and knowledge structures within clinical narratives in a highly verbal domain, such as psychiatry, is a challenging goal. The research presented here uses a small corpus of case histories and brings into play pre-existing knowledge, and therefore, complements other approaches that use large corpus (millions of words) and no pre-existing knowledge. The paper describes a variety of experiments for content-based analysis: Linguistic Analysis using NLP-oriented approaches, Sentiment Analysis, and Semantically Meaningful Analysis. Although it is not standard practice, the paper advocates providing automatic support to annotate the functionality as well as the data for each experiment by performing semantic annotation that uses OWL and OWL-S. Lessons learnt can be transmitted to legacy clinical databases facing the conversion of clinical narratives according to prominent Electronic Health Records standards.

  15. Content-based histopathology image retrieval using CometCloud. (United States)

    Qi, Xin; Wang, Daihou; Rodero, Ivan; Diaz-Montes, Javier; Gensure, Rebekah H; Xing, Fuyong; Zhong, Hua; Goodell, Lauri; Parashar, Manish; Foran, David J; Yang, Lin


    The development of digital imaging technology is creating extraordinary levels of accuracy that provide support for improved reliability in different aspects of the image analysis, such as content-based image retrieval, image segmentation, and classification. This has dramatically increased the volume and rate at which data are generated. Together these facts make querying and sharing non-trivial and render centralized solutions unfeasible. Moreover, in many cases this data is often distributed and must be shared across multiple institutions requiring decentralized solutions. In this context, a new generation of data/information driven applications must be developed to take advantage of the national advanced cyber-infrastructure (ACI) which enable investigators to seamlessly and securely interact with information/data which is distributed across geographically disparate resources. This paper presents the development and evaluation of a novel content-based image retrieval (CBIR) framework. The methods were tested extensively using both peripheral blood smears and renal glomeruli specimens. The datasets and performance were evaluated by two pathologists to determine the concordance. The CBIR algorithms that were developed can reliably retrieve the candidate image patches exhibiting intensity and morphological characteristics that are most similar to a given query image. The methods described in this paper are able to reliably discriminate among subtle staining differences and spatial pattern distributions. By integrating a newly developed dual-similarity relevance feedback module into the CBIR framework, the CBIR results were improved substantially. By aggregating the computational power of high performance computing (HPC) and cloud resources, we demonstrated that the method can be successfully executed in minutes on the Cloud compared to weeks using standard computers. In this paper, we present a set of newly developed CBIR algorithms and validate them using two

  16. Biased discriminant euclidean embedding for content-based image retrieval. (United States)

    Bian, Wei; Tao, Dacheng


    With many potential multimedia applications, content-based image retrieval (CBIR) has recently gained more attention for image management and web search. A wide variety of relevance feedback (RF) algorithms have been developed in recent years to improve the performance of CBIR systems. These RF algorithms capture user's preferences and bridge the semantic gap. However, there is still a big room to further the RF performance, because the popular RF algorithms ignore the manifold structure of image low-level visual features. In this paper, we propose the biased discriminative Euclidean embedding (BDEE) which parameterises samples in the original high-dimensional ambient space to discover the intrinsic coordinate of image low-level visual features. BDEE precisely models both the intraclass geometry and interclass discrimination and never meets the undersampled problem. To consider unlabelled samples, a manifold regularization-based item is introduced and combined with BDEE to form the semi-supervised BDEE, or semi-BDEE for short. To justify the effectiveness of the proposed BDEE and semi-BDEE, we compare them against the conventional RF algorithms and show a significant improvement in terms of accuracy and stability based on a subset of the Corel image gallery.

  17. Chemometric classification of casework arson samples based on gasoline content. (United States)

    Sinkov, Nikolai A; Sandercock, P Mark L; Harynuk, James J


    Detection and identification of ignitable liquids (ILs) in arson debris is a critical part of arson investigations. The challenge of this task is due to the complex and unpredictable chemical nature of arson debris, which also contains pyrolysis products from the fire. ILs, most commonly gasoline, are complex chemical mixtures containing hundreds of compounds that will be consumed or otherwise weathered by the fire to varying extents depending on factors such as temperature, air flow, the surface on which IL was placed, etc. While methods such as ASTM E-1618 are effective, data interpretation can be a costly bottleneck in the analytical process for some laboratories. In this study, we address this issue through the application of chemometric tools. Prior to the application of chemometric tools such as PLS-DA and SIMCA, issues of chromatographic alignment and variable selection need to be addressed. Here we use an alignment strategy based on a ladder consisting of perdeuterated n-alkanes. Variable selection and model optimization was automated using a hybrid backward elimination (BE) and forward selection (FS) approach guided by the cluster resolution (CR) metric. In this work, we demonstrate the automated construction, optimization, and application of chemometric tools to casework arson data. The resulting PLS-DA and SIMCA classification models, trained with 165 training set samples, have provided classification of 55 validation set samples based on gasoline content with 100% specificity and sensitivity. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  18. Content-Based Object Movie Retrieval and Relevance Feedbacks

    Directory of Open Access Journals (Sweden)

    Lee Greg C


    Full Text Available Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie provides a good representation of a physical object because it can provide 3D interactive viewing effect, but does not require 3D model reconstruction. In this paper, we propose an efficient approach for content-based object movie retrieval. In order to retrieve the desired object movie from the database, we first map an object movie into the sampling of a manifold in the feature space. Two different layers of feature descriptors, dense and condensed, are designed to sample the manifold for representing object movies. Based on these descriptors, we define the dissimilarity measure between the query and the target in the object movie database. The query we considered can be either an entire object movie or simply a subset of views. We further design a relevance feedback approach to improving retrieved results. Finally, some experimental results are presented to show the efficacy of our approach.

  19. Content-based video indexing and searching with wavelet transformation (United States)

    Stumpf, Florian; Al-Jawad, Naseer; Du, Hongbo; Jassim, Sabah


    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.

  20. Content-Based Image Retrieval for Semiconductor Process Characterization

    Directory of Open Access Journals (Sweden)

    Kenneth W. Tobin


    Full Text Available Image data management in the semiconductor manufacturing environment is becoming more problematic as the size of silicon wafers continues to increase, while the dimension of critical features continues to shrink. Fabricators rely on a growing host of image-generating inspection tools to monitor complex device manufacturing processes. These inspection tools include optical and laser scattering microscopy, confocal microscopy, scanning electron microscopy, and atomic force microscopy. The number of images that are being generated are on the order of 20,000 to 30,000 each week in some fabrication facilities today. Manufacturers currently maintain on the order of 500,000 images in their data management systems for extended periods of time. Gleaning the historical value from these large image repositories for yield improvement is difficult to accomplish using the standard database methods currently associated with these data sets (e.g., performing queries based on time and date, lot numbers, wafer identification numbers, etc.. Researchers at the Oak Ridge National Laboratory have developed and tested a content-based image retrieval technology that is specific to manufacturing environments. In this paper, we describe the feature representation of semiconductor defect images along with methods of indexing and retrieval, and results from initial field-testing in the semiconductor manufacturing environment.

  1. Security of Heterogeneous Content in Cloud Based Library Information Systems Using an Ontology Based Approach

    Directory of Open Access Journals (Sweden)

    Mihai DOINEA


    Full Text Available As in any domain that involves the use of software, the library information systems take advantages of cloud computing. The paper highlights the main aspect of cloud based systems, describing some public solutions provided by the most important players on the market. Topics related to content security in cloud based services are tackled in order to emphasize the requirements that must be met by these types of systems. A cloud based implementation of an Information Library System is presented and some adjacent tools that are used together with it to provide digital content and metadata links are described. In a cloud based Information Library System security is approached by means of ontologies. Aspects such as content security in terms of digital rights are presented and a methodology for security optimization is proposed.

  2. Socioscientific Issues-Based Instruction: An Investigation of Agriscience Students' Content Knowledge Based on Student Variables (United States)

    Shoulders, Catherine W.; Myers, Brian E.


    Numerous researchers in science education have reported student improvement in areas of scientific literacy resulting from socioscientific issues (SSI)-based instruction. The purpose of this study was to describe student agriscience content knowledge following a six-week SSI-based instructional unit focusing on the introduction of cultured meat…

  3. Web items recommendation using hybridized content-based and ...

    African Journals Online (AJOL)

    Recommender Systems are software agent developed to tackle the problem of information overload by providing recommendations that assist individual users identify contents of interest by using the opinions of a community of users, similarities between items contents or the user's preferences. The exponential growth of ...

  4. Content-Based Analysis of Bumper Stickers in Jordan

    Directory of Open Access Journals (Sweden)

    Abdullah A. Jaradat


    Full Text Available This study has set out to investigate bumper stickers in Jordan focusing mainly on the themes of the stickers. The study hypothesized that bumper stickers in Jordan reflect a wide range of topics including social, economic, and political. Due to being the first study of this phenomenon, the study has adopted content-based analysis to determine the basic topics. The study has found that the purpose of most bumper sticker is fun and humor; most of them are not serious and do not carry any biting messages. They do not present any criticism to the most dominant problems at the level of society including racism, nepotism, anti-feminism, inflation, high taxes, and refugees. Another finding is that politics is still a taboo; no political bumper stickers were found in Jordan. Finally, the themes the stickers targeted are: lessons of life 28.85 %; challenging or warning other drivers 16%; funny notes about social issues 12%; religious sayings 8%; treating the car as a female 7%; the low economic status of the driver 6%; love and treachery 5.5%; the prestigious status of the car 5%; envy 4%; nicknames for the car or the driver 4%; irony 3 %; and English sayings 1.5 %. Keywords: bumper stickers, themes, politics

  5. Automatic indexing of news video for content-based retrieval (United States)

    Yang, Myung-Sup; Yoo, Cheol-Jung; Chang, Ok-Bae


    Since it is impossible to automatically parse a general video, we investigated an integrated solution for the content-based news video indexing and the retrieval. Thus, a specific structural video such as news video is parsed, because it is included both temporal and spatial characteristics that the news event with an anchor-person is iteratively appeared, a news icon and a caption are involved in some frame, respectively. To extract automatically the key frames by using the structured knowledge of news, the model used in this paper is consisted of the news event segmentation, caption recognition and search browser module. The following are three main modules represented in this paper: (1) The news event segmentation module (NESM) for both the recognition and the division of an anchor-person shot. (2) The caption recognition module (CRM) for the detection of the caption-frames in a news event, the extraction of their caption region in the frame by using split-merge method, and the recognition of the region as a text with OCR software. 3) The search browser module (SBM) for the display of the list of news events and news captions, which are included in selected news event. However, the SBM can be caused various searching mechanisms.

  6. Using deep learning for content-based medical image retrieval (United States)

    Sun, Qinpei; Yang, Yuanyuan; Sun, Jianyong; Yang, Zhiming; Zhang, Jianguo


    Content-Based medical image retrieval (CBMIR) is been highly active research area from past few years. The retrieval performance of a CBMIR system crucially depends on the feature representation, which have been extensively studied by researchers for decades. Although a variety of techniques have been proposed, it remains one of the most challenging problems in current CBMIR research, which is mainly due to the well-known "semantic gap" issue that exists between low-level image pixels captured by machines and high-level semantic concepts perceived by human[1]. Recent years have witnessed some important advances of new techniques in machine learning. One important breakthrough technique is known as "deep learning". Unlike conventional machine learning methods that are often using "shallow" architectures, deep learning mimics the human brain that is organized in a deep architecture and processes information through multiple stages of transformation and representation. This means that we do not need to spend enormous energy to extract features manually. In this presentation, we propose a novel framework which uses deep learning to retrieval the medical image to improve the accuracy and speed of a CBIR in integrated RIS/PACS.

  7. Toward Content Based Image Retrieval with Deep Convolutional Neural Networks. (United States)

    Sklan, Judah E S; Plassard, Andrew J; Fabbri, Daniel; Landman, Bennett A


    Content-based image retrieval (CBIR) offers the potential to identify similar case histories, understand rare disorders, and eventually, improve patient care. Recent advances in database capacity, algorithm efficiency, and deep Convolutional Neural Networks (dCNN), a machine learning technique, have enabled great CBIR success for general photographic images. Here, we investigate applying the leading ImageNet CBIR technique to clinically acquired medical images captured by the Vanderbilt Medical Center. Briefly, we (1) constructed a dCNN with four hidden layers, reducing dimensionality of an input scaled to 128×128 to an output encoded layer of 4×384, (2) trained the network using back-propagation 1 million random magnetic resonance (MR) and computed tomography (CT) images, (3) labeled an independent set of 2100 images, and (4) evaluated classifiers on the projection of the labeled images into manifold space. Quantitative results were disappointing (averaging a true positive rate of only 20%); however, the data suggest that improvements would be possible with more evenly distributed sampling across labels and potential re-grouping of label structures. This prelimainry effort at automated classification of medical images with ImageNet is promising, but shows that more work is needed beyond direct adaptation of existing techniques.

  8. Chaotic secure content-based hidden transmission of biometric templates

    International Nuclear Information System (INIS)

    Khan, Muhammad Khurram; Zhang Jiashu; Tian Lei


    The large-scale proliferation of biometric verification systems creates a demand for effective and reliable security and privacy of its data. Like passwords and PIN codes, biometric data is also not secret and if it is compromised, the integrity of the whole verification system could be at high risk. To address these issues, this paper presents a novel chaotic secure content-based hidden transmission scheme of biometric data. Encryption and data hiding techniques are used to improve the security and secrecy of the transmitted templates. Secret keys are generated by the biometric image and used as the parameter value and initial condition of the chaotic map, and each transaction session has different secret keys to protect from the attacks. Two chaotic maps are incorporated for the encryption to resolve the finite word length effect and to improve the system's resistance against attacks. Encryption is applied on the biometric templates before hiding into the cover/host images to make them secure, and then templates are hidden into the cover image. Experimental results show that the security, performance, and accuracy of the presented scheme are encouraging comparable with other methods found in the current literature

  9. Development of Content Management System-based Web Applications

    NARCIS (Netherlands)

    Souer, J.


    Web engineering is the application of systematic and quantifiable approaches (concepts, methods, techniques, tools) to cost-effective requirements analysis, design, implementation, testing, operation, and maintenance of high quality web applications. Over the past years, Content Management Systems

  10. DOM-based Content Extraction of HTML Documents

    National Research Council Canada - National Science Library

    Gupta, Suhit; Kaiser, Gail; Neistadt, David; Grimm, Peter


    .... Most approaches to removing clutter or making content more readable involve changing font size or removing HTML and data components such as images, which takes away from a webpage's inherent look and feel...

  11. Teaching Concepts of Natural Sciences to Foreigners through Content-Based Instruction: The Adjunct Model (United States)

    Satilmis, Yilmaz; Yakup, Doganay; Selim, Guvercin; Aybarsha, Islam


    This study investigates three models of content-based instruction in teaching concepts and terms of natural sciences in order to increase the efficiency of teaching these kinds of concepts in realization and to prove that the content-based instruction is a teaching strategy that helps students understand concepts of natural sciences. Content-based…

  12. Incorporating Active Learning with PowerPoint-Based Lectures Using Content-Based Questions (United States)

    Gier, Vicki S.; Kreiner, David S.


    Instructors often use Microsoft PowerPoint lectures and handouts as support tools to provide students with the main concepts of the lectures. Some instructors and researchers believe that PowerPoint encourages student passivity. We conducted 2 studies to determine whether the use of content-based questions (CBQs) would enhance learning when…

  13. Development of Content Management System-based Web Applications


    Souer, J.


    Web engineering is the application of systematic and quantifiable approaches (concepts, methods, techniques, tools) to cost-effective requirements analysis, design, implementation, testing, operation, and maintenance of high quality web applications. Over the past years, Content Management Systems (CMS) have emerged as an important foundation for the web engineering process. CMS can be defined as a tool for the creation, editing and management of web information in an integral way. A CMS appe...

  14. Semantic based cluster content discovery in description first clustering algorithm

    International Nuclear Information System (INIS)

    Khan, M.W.; Asif, H.M.S.


    In the field of data analytics grouping of like documents in textual data is a serious problem. A lot of work has been done in this field and many algorithms have purposed. One of them is a category of algorithms which firstly group the documents on the basis of similarity and then assign the meaningful labels to those groups. Description first clustering algorithm belong to the category in which the meaningful description is deduced first and then relevant documents are assigned to that description. LINGO (Label Induction Grouping Algorithm) is the algorithm of description first clustering category which is used for the automatic grouping of documents obtained from search results. It uses LSI (Latent Semantic Indexing); an IR (Information Retrieval) technique for induction of meaningful labels for clusters and VSM (Vector Space Model) for cluster content discovery. In this paper we present the LINGO while it is using LSI during cluster label induction and cluster content discovery phase. Finally, we compare results obtained from the said algorithm while it uses VSM and Latent semantic analysis during cluster content discovery phase. (author)

  15. Semantic Based Cluster Content Discovery in Description First Clustering Algorithm

    Directory of Open Access Journals (Sweden)



    Full Text Available In the field of data analytics grouping of like documents in textual data is a serious problem. A lot of work has been done in this field and many algorithms have purposed. One of them is a category of algorithms which firstly group the documents on the basis of similarity and then assign the meaningful labels to those groups. Description first clustering algorithm belong to the category in which the meaningful description is deduced first and then relevant documents are assigned to that description. LINGO (Label Induction Grouping Algorithm is the algorithm of description first clustering category which is used for the automatic grouping of documents obtained from search results. It uses LSI (Latent Semantic Indexing; an IR (Information Retrieval technique for induction of meaningful labels for clusters and VSM (Vector Space Model for cluster content discovery. In this paper we present the LINGO while it is using LSI during cluster label induction and cluster content discovery phase. Finally, we compare results obtained from the said algorithm while it uses VSM and Latent semantic analysis during cluster content discovery phase.

  16. Demographic-Based Content Analysis of Web-Based Health-Related Social Media. (United States)

    Sadah, Shouq A; Shahbazi, Moloud; Wiley, Matthew T; Hristidis, Vagelis


    An increasing number of patients from diverse demographic groups share and search for health-related information on Web-based social media. However, little is known about the content of the posted information with respect to the users' demographics. The aims of this study were to analyze the content of Web-based health-related social media based on users' demographics to identify which health topics are discussed in which social media by which demographic groups and to help guide educational and research activities. We analyze 3 different types of health-related social media: (1) general Web-based social networks Twitter and Google+; (2) drug review websites; and (3) health Web forums, with a total of about 6 million users and 20 million posts. We analyzed the content of these posts based on the demographic group of their authors, in terms of sentiment and emotion, top distinctive terms, and top medical concepts. The results of this study are: (1) Pregnancy is the dominant topic for female users in drug review websites and health Web forums, whereas for male users, it is cardiac problems, HIV, and back pain, but this is not the case for Twitter; (2) younger users (0-17 years) mainly talk about attention-deficit hyperactivity disorder (ADHD) and depression-related drugs, users aged 35-44 years discuss about multiple sclerosis (MS) drugs, and middle-aged users (45-64 years) talk about alcohol and smoking; (3) users from the Northeast United States talk about physical disorders, whereas users from the West United States talk about mental disorders and addictive behaviors; (4) Users with higher writing level express less anger in their posts. We studied the popular topics and the sentiment based on users' demographics in Web-based health-related social media. Our results provide valuable information, which can help create targeted and effective educational campaigns and guide experts to reach the right users on Web-based social chatter.

  17. Enterprise content management systems as a knowledge infrastructure: The knowledge-based content management framework


    Le Dinh, Thang; Rickenberg, Tim A.; Fill, Hans-Georg; Breitner, Michael H.


    The rise of the knowledge-based economy has significantly transformed the economies of developed countries from managed economies into entrepreneurial economies, which deal with knowledge as both input and output. Consequently, knowledge has become a key asset for organizations and knowledge management is one of the driving forces of business success. One of the most important challenges faced by enterprises today is to manage both knowledge assets and the e-collaboration process between know...

  18. Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences

    DEFF Research Database (Denmark)

    Beecks, Christian; Assent, Ira; Seidl, Thomas


    Content-based multimedia retrieval requires an appropriate similarity model which reflects user preferences. When these preferences are unknown or when the structure of the data collection is unclear, retrieving the most preferable objects the user has in mind is challenging, as the notion...... address the problem of content-based multimedia retrieval in the presence of unknown user preferences. Our idea consists in performing content-based retrieval by considering all possibilities in a family of similarity models simultaneously. To this end, we propose a novel content-based retrieval approach...

  19. Multimedia Based E-learning : Design and Integration of Multimedia Content in E-learning

    Directory of Open Access Journals (Sweden)

    Abdulaziz Omar Alsadhan


    Full Text Available The advancement in multimedia and information technologies also have impacted the way of imparting education. This advancement has led to rapid use of e learning systems and has enabled greater integration of multimedia content into e learning systems. This paper present a model for development of e learning systems based on multimedia content. The model is called “Multimedia based e learning” and is loosely based on waterfall software development model. This model consists of three distinct phases; Multimedia Content Modelling, Multimedia content Development, Multimedia content Integration. These three phases are further sub divided into 7 different activities which are analysis, design, technical requirements, content development, content production & integration, implementation and evaluation. This model defines a general framework that can be applied for the development of e learning systems across all disciplines and subjects.

  20. Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Musto, Cataldo


    This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same...... for work dedicated to all aspects of content-based recommender systems....... level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue...

  1. Second Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2015)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn


    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2015 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  2. CBRecSys 2015. New Trends on Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2015 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  3. Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2014)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Cantádor, Ivan


    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2014 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  4. Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Musto, Cataldo


    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  5. CBRecSys 2016. New Trends on Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  6. Content Based medical image retrieval based on BEMD: optimization of a similarity metric. (United States)

    Jai-Andaloussi, Said; Lamard, Mathieu; Cazuguel, Guy; Tairi, Hamid; Meknassi, Mohamed; Cochener, Beatrice; Roux, Christian


    Most medical images are now digitized and stored in patients files databases. The challenge is how to use them for acquiring knowledge or/and for aid to diagnosis. In this paper, we address the challenge of diagnosis aid by Content Based Image Retrieval (CBIR). We propose to characterize images by using the Bidimensional Empirical Mode Decomposition (BEMD). Images are decomposed into a set of functions named Bidimensional Intrinsic Mode Functions (BIMF). Two methods are used to characterize BIMFs information content: the Generalized Gaussian density functions (GGD) and the Huang-Hilbert transform (HHT). In order to enhance results, we introduce a similarity metric optimization process: weighted distances between BIMFs are adapted for each image in the database. Retrieval efficiency is given for different databases (DB), including a diabetic retinopathy DB, a mammography DB and a faces DB. Results are promising: the retrieval efficiency is higher than 95% for some cases.

  7. Design and realisation of an efficient content based music playlist generation system

    NARCIS (Netherlands)

    Balkema, Jan Wietse


    This thesis is on the subject of content based music playlist generation systems. The primary aim is to develop algorithms for content based music playlist generation that are faster than the current state of technology while keeping the quality of the playlists at a level that is at least


    Directory of Open Access Journals (Sweden)

    J. A. Koroleva


    Full Text Available Results of retrieval time research of actual data effectiveness search in temporal knowledge bases built in the basis of state of events have been proposed. This type of knowledge base gives the possibility for quick access to relevant states as well as for history based on events chronology. It is shown that data storage for deep retrospective increases significantly the search time due to the growth of the decision tree. The search time for temporal knowledge bases depending on the average number of events prior to the current state has been investigated. Experimental results confirm the advantage of knowledge bases in the basis of state of events over traditional methods for design of intelligent systems.

  9. [Development of Web-based multimedia content for a physical examination and health assessment course]. (United States)

    Oh, Pok-Ja; Kim, Il-Ok; Shin, Sung-Rae; Jung, Hoe-Kyung


    This study was to develop Web-based multimedia content for Physical Examination and Health Assessment. The multimedia content was developed based on Jung's teaching and learning structure plan model, using the following 5 processes : 1) Analysis Stage, 2) Planning Stage, 3) Storyboard Framing and Production Stage, 4) Program Operation Stage, and 5) Final Evaluation Stage. The web based multimedia content consisted of an intro movie, main page and sub pages. On the main page, there were 6 menu bars that consisted of Announcement center, Information of professors, Lecture guide, Cyber lecture, Q&A, and Data centers, and a site map which introduced 15 week lectures. In the operation of web based multimedia content, HTML, JavaScript, Flash, and multimedia technology (Audio and Video) were utilized and the content consisted of text content, interactive content, animation, and audio & video. Consultation with the experts in context, computer engineering, and educational technology was utilized in the development of these processes. Web-based multimedia content is expected to offer individualized and tailored learning opportunities to maximize and facilitate the effectiveness of the teaching and learning process. Therefore, multimedia content should be utilized concurrently with the lecture in the Physical Examination and Health Assessment classes as a vital teaching aid to make up for the weakness of the face-to- face teaching-learning method.

  10. A content-based image retrieval method for optical colonoscopy images based on image recognition techniques (United States)

    Nosato, Hirokazu; Sakanashi, Hidenori; Takahashi, Eiichi; Murakawa, Masahiro


    This paper proposes a content-based image retrieval method for optical colonoscopy images that can find images similar to ones being diagnosed. Optical colonoscopy is a method of direct observation for colons and rectums to diagnose bowel diseases. It is the most common procedure for screening, surveillance and treatment. However, diagnostic accuracy for intractable inflammatory bowel diseases, such as ulcerative colitis (UC), is highly dependent on the experience and knowledge of the medical doctor, because there is considerable variety in the appearances of colonic mucosa within inflammations with UC. In order to solve this issue, this paper proposes a content-based image retrieval method based on image recognition techniques. The proposed retrieval method can find similar images from a database of images diagnosed as UC, and can potentially furnish the medical records associated with the retrieved images to assist the UC diagnosis. Within the proposed method, color histogram features and higher order local auto-correlation (HLAC) features are adopted to represent the color information and geometrical information of optical colonoscopy images, respectively. Moreover, considering various characteristics of UC colonoscopy images, such as vascular patterns and the roughness of the colonic mucosa, we also propose an image enhancement method to highlight the appearances of colonic mucosa in UC. In an experiment using 161 UC images from 32 patients, we demonstrate that our method improves the accuracy of retrieving similar UC images.

  11. Identifying content for simulation-based curricula in urology

    DEFF Research Database (Denmark)

    Nayahangan, Leizl Joy; Hansen, Rikke Bolling; Lindorff-Larsen, Karen Gilboe


    is performed by an inexperienced physician; and the feasibility of simulation training. Round 3 involved elimination and reranking of procedures according to priority. Results: The response rates for the three Delphi rounds were 70%, 55% and 67%, respectively. The 34 procedures identified in Round 1 were......Objective: Simulation-based training is well recognized in the transforming field of urological surgery; however, integration into the curriculum is often unstructured. Development of simulation-based curricula should follow a stepwise approach starting with a needs assessment. This study aimed...... to identify technical procedures in urology that should be included in a simulation-based curriculum for residency training. Materials and methods: A national needs assessment was performed using the Delphi method involving 56 experts with significant roles in the education of urologists. Round 1 identified...

  12. Evaluation of a Problem Based Learning Curriculum Using Content Analysis (United States)

    Prihatiningsih, Titi Savitri; Qomariyah, Nurul


    Faculty of Medicine UGM has implemented Problem Based Learning (PBL) since 1985. Seven jump tutorial discussions are applied. A scenario is used as a trigger to stimulate students to identify learning objectives (LOs) in step five which are used as the basis for self study in step six. For each scenario, the Block Team formulates the LOs which are…

  13. Natural ingredients based cosmetics. Content of selected fragrance sensitizers

    DEFF Research Database (Denmark)

    Rastogi, Suresh Chandra; Johansen, J D; Menné, T


    -hexylcinnamic aldehyde. The study revealed that the 91% (20/22) of the natural ingredients based perfumes contained 0.027%-7.706% of 1 to 7 of the target fragrances. Between 1 and 5 of the chemically defined synthetic constituents of fragrance mix were found in 82% (18/22) of the perfumes. 35% (7/20) of the other...

  14. The Religious Facebook Experience: Uses and Gratifications of Faith-Based Content


    Pamela Jo Brubaker; Michel M. Haigh


    This study explores why Christians ( N  = 335) use Facebook for religious purposes and the needs engaging with religious content on Facebook gratifies. Individuals who access faith-based content on Facebook were recruited to participate in an online survey through a series of Facebook advertisements. An exploratory factor analysis revealed four primary motivations for accessing religious Facebook content: ministering, spiritual enlightenment, religious information, and entertainment. Along wi...

  15. A Novel Optimization-Based Approach for Content-Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Manyu Xiao


    Full Text Available Content-based image retrieval is nowadays one of the possible and promising solutions to manage image databases effectively. However, with the large number of images, there still exists a great discrepancy between the users’ expectations (accuracy and efficiency and the real performance in image retrieval. In this work, new optimization strategies are proposed on vocabulary tree building, retrieval, and matching methods. More precisely, a new clustering strategy combining classification and conventional K-Means method is firstly redefined. Then a new matching technique is built to eliminate the error caused by large-scaled scale-invariant feature transform (SIFT. Additionally, a new unit mechanism is proposed to reduce the cost of indexing time. Finally, the numerical results show that excellent performances are obtained in both accuracy and efficiency based on the proposed improvements for image retrieval.

  16. Requirements Content Goodness and Complexity Measurement Based On NP Chunks

    Directory of Open Access Journals (Sweden)

    Chao Y. Din


    Full Text Available In a typical software development project, a requirements document summarizes the results of the requirements analysis and becomes the basis for subsequent software development. In many cases, the quality of the requirements documents dictates the success of the software development. The need for determining the quality of requirements documents is particularly acute when the target applications are large, complicated, and mission critical. The purpose of this research is to develop quality indicators to indicate the quality of requirements statements in a requirements document. To achieve the goal, the goodness properties of the requirements statements are adopted to represent the quality of requirements statements. A suite of complexity metrics of requirements statements is proposed as the quality indicators and is developed based upon research of noun phrase (NP chunks. A two phased empirical case study is performed to evaluate the usage of the proposed metrics. By focusing upon the complexity metrics based on NP chunks, the research aided in development of complexity indicators of low quality requirements documents.

  17. Content sensitivity based access control framework for Hadoop

    Directory of Open Access Journals (Sweden)

    T.K. Ashwin Kumar


    Full Text Available Big data technologies have seen tremendous growth in recent years. They are widely used in both industry and academia. In spite of such exponential growth, these technologies lack adequate measures to protect data from misuse/abuse. Corporations that collect data from multiple sources are at risk of liabilities due to the exposure of sensitive information. In the current implementation of Hadoop, only file-level access control is feasible. Providing users with the ability to access data based on the attributes in a dataset or the user’s role is complicated because of the sheer volume and multiple formats (structured, unstructured and semi-structured of data. In this paper, we propose an access control framework, which enforces access control policies dynamically based on the sensitivity of the data. This framework enforces access control policies by harnessing the data context, usage patterns and information sensitivity. Information sensitivity changes over time with the addition and removal of datasets, which can lead to modifications in access control decisions. The proposed framework accommodates these changes. The proposed framework is automated to a large extent as the data itself determines the sensitivity with minimal user intervention. Our experimental results show that the proposed framework is capable of enforcing access control policies on non-multimedia datasets with minimal overhead.

  18. Way Forward in the Twenty-First Century in Content-Based Instruction: Moving towards Integration (United States)

    Ruiz de Zarobe, Yolanda; Cenoz, Jasone


    The aim of this paper is to reflect on the theoretical and methodological underpinnings that provide the basis for an understanding of Content-Based Instruction/Content and Language Integrated Learning (CBI/CLIL) in the field and its relevance in education in the twenty-first century. It is argued that the agenda of CBI/CLIL needs to move towards…

  19. The Grammar of History: Enhancing Content-Based Instruction through a Functional Focus on Language (United States)

    Schleppegrell, Mary J.; Achugar, Mariana; Oteiza, Teresa


    In K-12 contexts, the teaching of English language learners (ELLs) has been greatly influenced by the theory and practice of content-based instruction (CBI). A focus on content can help students achieve grade-level standards in school subjects while they develop English proficiency, but CBI practices have focused primarily on vocabulary and the…

  20. Flipping Every Student? A Case Study of Content-Based Flipped Language Classrooms (United States)

    Sun, Yu-Chih


    The study aims to explore university-level foreign language learners' perceptions of the content-based flipped classroom approach and factors influencing their perceptions. The research questions guiding the study are three-fold. (a) What attitudes and perceptions do students have about language and knowledge acquisition in the content-based…

  1. From Socialisation to Internalisation: Cultivating Technological Pedagogical Content Knowledge through Problem-Based Learning (United States)

    Tee, Meng Yew; Lee, Shuh Shing


    Recent studies on technology have shifted from the emphasis on technology skills alone to integrating pedagogy and content with technology--what Mishra and Koehler (2005) call technological pedagogical content knowledge (TPACK). Deeper understanding on how TPACK can be cultivated is needed. This design-based research explored how an improvised,…

  2. High content cell-based assay for the inflammatory pathway (United States)

    Mukherjee, Abhishek; Song, Joon Myong


    Cellular inflammation is a non-specific immune response to tissue injury that takes place via cytokine network orchestration to maintain normal tissue homeostasis. However chronic inflammation that lasts for a longer period, plays the key role in human diseases like neurodegenerative disorders and cancer development. Understanding the cellular and molecular mechanisms underlying the inflammatory pathways may be effective in targeting and modulating their outcome. Tumor necrosis factor alpha (TNF-α) is a pro-inflammatory cytokine that effectively combines the pro-inflammatory features with the pro-apoptotic potential. Increased levels of TNF-α observed during acute and chronic inflammatory conditions are believed to induce adverse phenotypes like glucose intolerance and abnormal lipid profile. Natural products e. g., amygdalin, cinnamic acid, jasmonic acid and aspirin have proven efficacy in minimizing the TNF-α induced inflammation in vitro and in vivo. Cell lysis-free quantum dot (QDot) imaging is an emerging technique to identify the cellular mediators of a signaling cascade with a single assay in one run. In comparison to organic fluorophores, the inorganic QDots are bright, resistant to photobleaching and possess tunable optical properties that make them suitable for long term and multicolor imaging of various components in a cellular crosstalk. Hence we tested some components of the mitogen activated protein kinase (MAPK) pathway during TNF-α induced inflammation and the effects of aspirin in HepG2 cells by QDot multicolor imaging technique. Results demonstrated that aspirin showed significant protective effects against TNF-α induced cellular inflammation. The developed cell based assay paves the platform for the analysis of cellular components in a smooth and reliable way.

  3. Building ESP Content-Based Materials to Promote Strategic Reading

    Directory of Open Access Journals (Sweden)

    Bautista Barón Myriam Judith


    Full Text Available This article reports on an action research project that proposes to improve the reading comprehension and vocabulary of undergraduate students of English for Specific Purposes–explosives majors, at a police training institute in Colombia. I used the qualitative research method to explore and reflect upon the teaching-learning processes during implementation. Being the teacher of an English for specific purposes course without the appropriate didactic resources, I designed six reading comprehension workshops based on the cognitive language learning approach not only to improve students’ reading skills but also their autonomy through the use of learning strategies. The data were collected from field notes, artifacts, progress reviews, surveys, and photographs. Este artículo informa sobre un proyecto de investigación cualitativa que propone mejorar la comprensión de lectura y el vocabulario de estudiantes universitarios de inglés que se especializan en temas relativos a explosivos en una escuela de policía, en Colombia. Por tratarse de un curso de inglés específico que carece de los recursos didácticos apropiados, diseñé seis talleres de comprensión de lectura basados en el enfoque del aprendizaje cognitivo de la lengua, para mejorar tanto su comprensión de lectura como su autonomía para usar estrategias de aprendizaje. Para la recolección de datos se emplearon notas de campo, artefactos, pruebas de progreso, encuestas y fotografías. 

  4. What Combinations of Contents is Driving Popularity in IPTV-based Social Networks? (United States)

    Bhatt, Rajen

    IPTV-based Social Networks are gaining popularity with TV programs coming over IP connection and internet like applications available on home TV. One such application is rating TV programs over some predefined genres. In this paper, we suggest an approach for building a recommender system to be used by content distributors, publishers, and motion pictures producers-directors to decide on what combinations of contents may drive popularity or unpopularity. This may be used then for creating a proper mixture of media contents which can drive high popularity. This may also be used for the purpose of catering customized contents for group of users whose taste is similar and thus combinations of contents driving popularity for a certain group is also similar. We use a novel approach for this formulation utilizing fuzzy decision trees. Computational experiments performed over real-world program review database shows that the proposed approach is very efficient towards understanding of the content combinations.

  5. Single-labelled music genre classification using content-based features

    CSIR Research Space (South Africa)

    Ajoodha, R


    Full Text Available In this paper we use content-based features to perform automatic classification of music pieces into genres. We categorise these features into four groups: features extracted from the Fourier transform’s magnitude spectrum, features designed...

  6. Rapid field detection of moisture content for base and subgrade : technical report. (United States)


    Mixing and compacting soil and flexible base pavement materials at the proper moisture content is critical : for obtaining adequate compaction and meeting construction specification requirements. This project sought : to evaluate rapid non-nuclear te...

  7. Ad-hoc Content-based Queries and Data Analysis for Virtual Observatories, Phase II (United States)

    National Aeronautics and Space Administration — Aquilent, Inc. proposes to support ad-hoc, content-based query and data retrieval from virtual observatories (VxO) by developing 1) Higher Order Query Services that...

  8. Obtaining Application-based and Content-based Internet Traffic Statistics

    DEFF Research Database (Denmark)

    Bujlow, Tomasz; Pedersen, Jens Myrup


    Understanding Internet traffic is crucial in order to facilitate academic research and practical network engineering, e.g. when doing traffic classification, prioritization of traffic, creating realistic scenarios and models for Internet traffic development etc. In this paper we demonstrate how...... the Volunteer-Based System for Research on the Internet, developed at Aalborg University, is capable of providing detailed statistics of Internet usage. Since an increasing amount of HTTP traffic has been observed during the last few years, the system also supports creating statistics of different kinds of HTTP...... be useful for studying characteristics of computer network traffic in application-oriented or content-type- oriented way, and is now ready for a larger-scale implementation. The paper is concluded with a discussion about various applications of the system and possibilities of further enhancement....

  9. [Vegetation index estimation by chlorophyll content of grassland based on spectral analysis]. (United States)

    Xiao, Han; Chen, Xiu-Wan; Yang, Zhen-Yu; Li, Huai-Yu; Zhu, Han


    Comparing the methods of existing remote sensing research on the estimation of chlorophyll content, the present paper confirms that the vegetation index is one of the most practical and popular research methods. In recent years, the increasingly serious problem of grassland degradation. This paper, firstly, analyzes the measured reflectance spectral curve and its first derivative curve in the grasslands of Songpan, Sichuan and Gongger, Inner Mongolia, conducts correlation analysis between these two spectral curves and chlorophyll content, and finds out the regulation between REP (red edge position) and grassland chlorophyll content, that is, the higher the chlorophyll content is, the higher the REIP (red-edge inflection point) value would be. Then, this paper constructs GCI (grassland chlorophyll index) and selects the most suitable band for retrieval. Finally, this paper calculates the GCI by the use of satellite hyperspectral image, conducts the verification and accuracy analysis of the calculation results compared with chlorophyll content data collected from field of twice experiments. The result shows that for grassland chlorophyll content, GCI has stronger sensitivity than other indices of chlorophyll, and has higher estimation accuracy. GCI is the first proposed to estimate the grassland chlorophyll content, and has wide application potential for the remote sensing retrieval of grassland chlorophyll content. In addition, the grassland chlorophyll content estimation method based on remote sensing retrieval in this paper provides new research ideas for other vegetation biochemical parameters' estimation, vegetation growth status' evaluation and grassland ecological environment change's monitoring.

  10. Comprehension and Writing Strategy Training Improves Performance on Content-Specific Source-Based Writing Tasks (United States)

    Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S.


    Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…

  11. Comprehension and Writing Strategy Training Improves Performance on Content-Specific Source-Based Writing Tasks (United States)

    Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S.


    Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…

  12. The Religious Facebook Experience: Uses and Gratifications of Faith-Based Content

    Directory of Open Access Journals (Sweden)

    Pamela Jo Brubaker


    Full Text Available This study explores why Christians ( N  = 335 use Facebook for religious purposes and the needs engaging with religious content on Facebook gratifies. Individuals who access faith-based content on Facebook were recruited to participate in an online survey through a series of Facebook advertisements. An exploratory factor analysis revealed four primary motivations for accessing religious Facebook content: ministering, spiritual enlightenment, religious information, and entertainment. Along with identifying the uses and gratifications received from engaging with faith-based Facebook content, this research reveals how the frequency of Facebook use, the intensity of Facebook use for religious purposes, and also religiosity predict motivations for accessing this social networking site for faith-based purposes. The data revealed those who frequently use Facebook for posting, liking, commenting, and sharing faith-based content and who are more religious are more likely to minister to others. Frequent use also predicted seeking religious information. The affiliation with like-minded individuals afforded by this medium provides faith-based users with supportive content and communities that motivate the use of Facebook for obtaining spiritual guidance, for accessing religious resources, and for relaxing and being entertained.

  13. [Diagnosis of nitrogen content in upper and lower corn leaves based on hyperspectral data]. (United States)

    Jin, Liang; Hu, Ke-Lin; Tian, Ming-Ming; Wei, Dan; Li, Hong; Bai, You-Lu; Zhang, Jun-Zheng


    Based on the spectral characters of corn leaf nitrogen content in the space, the spectral models for rapid estimating crop nitrogen content were set up, which is practically meaningful to effectively providing the guidance in fertilization. Spectral technology was applied to explore corn leaves nitrogen content distribution regularity and the relationship between the nitrogen content and plant index was analysed and then the estimation models were built. The results showed N content in upper leaves is higher than that in lower leaves in four growing stages; lower leaves at tassel emerge stage are sensitive to nitrogen losses, which could be used in guiding fertilization in grain production; optimum estimation models were built atjointing stage, the full-grown stage and tasseling stage, The research results provided the proof of crop nutrient analysis and rational fertilization.

  14. Calculation of the information content of retrieval procedures applied to mass spectral data bases

    International Nuclear Information System (INIS)

    Marlen, G. van; Dijkstra, A.; Van't Klooster, H.A.


    A procedure has been developed for estimating the information content of retrieval systems with binary-coded mass spectra, as well as mass spectra coded by other methods, from the statistical properties of a reference file. For a reference file, binary-coded with a threshold of 1% of the intensity of the base peak, this results typically in an estimated information content of about 50 bits for 200 selected m/z values. It is shown that, because of errors occuring in the binary spectra, the actual information content is only about 12 bits. This explains the poor performance observed for retrieval systems with binary-coded mass spectra. (Auth.)

  15. A Survey on Portuguese Lexical Knowledge Bases: Contents, Comparison and Combination

    Directory of Open Access Journals (Sweden)

    Hugo Gonçalo Oliveira


    Full Text Available In the last decade, several lexical-semantic knowledge bases (LKBs were developed for Portuguese, by different teams and following different approaches. Most of them are open and freely available for the community. Those LKBs are briefly analysed here, with a focus on size, structure, and overlapping contents. However, we go further and exploit all of the analysed LKBs in the creation of new LKBs, based on the redundant contents. Both original and redundancy-based LKBs are then compared, indirectly, based on the performance of automatic procedures that exploit them for solving four different semantic analysis tasks. In addition to conclusions on the performance of the original LKBs, results show that, instead of selecting a single LKB to use, it is generally worth combining the contents of all the open Portuguese LKBs, towards better results.

  16. Revisiting the Content-Based Instruction in Language Teaching in relation with CLIL: Implementation and Outcome

    Directory of Open Access Journals (Sweden)

    Abdul Karim


    Full Text Available The present article has reviewed literature on Content-Based Instruction (CBI along with the Content and Language Integrated Learning (CLIL in Language Teaching based on the recent development in the field. This includes the learning principle, factors responsible for the successful implementation of CBI/CLIL, their prospect and outcome. The paper is written based on secondary data from different articles providing exploratory account of contexts observed, paying attention to the views and practices of participants, and review papers on previous studies. The goal is to understand the aspects of CBI, its relation with CLIL, success and shortcoming resulted from the implementation in language teaching.

  17. Evaluation of the Professional Development Program on Web Based Content Development (United States)

    Yurdakul, Bünyamin; Uslu, Öner; Çakar, Esra; Yildiz, Derya G.


    The aim of this study is to evaluate the professional development program on web based content development (WBCD) designed by the Ministry of National Education (MoNE). Based on the theoretical CIPP model by Stufflebeam and Guskey's levels of evaluation, the study was carried out as a case study. The study group consisted of the courses that…

  18. Content Analysis of Conceptually Based Physical Education in Southeastern United States Universities and Colleges (United States)

    Williams, Suzanne Ellen; Greene, Leon; Satinsky, Sonya; Neuberger, John


    Purpose: The purposes of this study were to explore PE in higher education through the offering of traditional activity- and skills-based physical education (ASPE) and conceptually-based physical education (CPE) courses, and to conduct an exploratory content analysis on the CPE available to students in randomized colleges and universities in the…

  19. Implementing Task-Oriented Content-Based Instruction for First- and Second-Generation Immigrant Students (United States)

    Santana-Williamson, Eliana


    This article discusses how the ESL program at an ethnically/linguistically diverse community college (between San Diego and the Mexican border) moved from a general, grammar-based ESL curriculum to a content-based instruction (CBI) curriculum. The move was designed to better prepare 1st- and 2nd-generation immigrant students for freshman…

  20. Roles of Frequency, Attitudes, and Multiple Intelligence Modality Surrounding Electricity Content-Based Reader's Theatre (United States)

    Hosier, Julie Winchester


    Integration of subjects is something elementary teachers must do to insure required objectives are covered. Science-based Reader's Theatre is one way to weave reading into science. This study examined the roles of frequency, attitudes, and Multiple Intelligence modalities surrounding Electricity Content-Based Reader's Theatre. This study used…

  1. Brain Based Learning in Science Education in Turkey: Descriptive Content and Meta Analysis of Dissertations (United States)

    Yasar, M. Diyaddin


    This study aimed at performing content analysis and meta-analysis on dissertations related to brain-based learning in science education to find out the general trend and tendency of brain-based learning in science education and find out the effect of such studies on achievement and attitude of learners with the ultimate aim of raising awareness…

  2. Discriminant content validity: a quantitative methodology for assessing content of theory-based measures, with illustrative applications. (United States)

    Johnston, Marie; Dixon, Diane; Hart, Jo; Glidewell, Liz; Schröder, Carin; Pollard, Beth


    In studies involving theoretical constructs, it is important that measures have good content validity and that there is not contamination of measures by content from other constructs. While reliability and construct validity are routinely reported, to date, there has not been a satisfactory, transparent, and systematic method of assessing and reporting content validity. In this paper, we describe a methodology of discriminant content validity (DCV) and illustrate its application in three studies. Discriminant content validity involves six steps: construct definition, item selection, judge identification, judgement format, single-sample test of content validity, and assessment of discriminant items. In three studies, these steps were applied to a measure of illness perceptions (IPQ-R) and control cognitions. The IPQ-R performed well with most items being purely related to their target construct, although timeline and consequences had small problems. By contrast, the study of control cognitions identified problems in measuring constructs independently. In the final study, direct estimation response formats for theory of planned behaviour constructs were found to have as good DCV as Likert format. The DCV method allowed quantitative assessment of each item and can therefore inform the content validity of the measures assessed. The methods can be applied to assess content validity before or after collecting data to select the appropriate items to measure theoretical constructs. Further, the data reported for each item in Appendix S1 can be used in item or measure selection. Statement of contribution What is already known on this subject? There are agreed methods of assessing and reporting construct validity of measures of theoretical constructs, but not their content validity. Content validity is rarely reported in a systematic and transparent manner. What does this study add? The paper proposes discriminant content validity (DCV), a systematic and transparent method

  3. Simple, fast, and low-cost camera-based water content measurement with colorimetric fluorescent indicator (United States)

    Song, Seok-Jeong; Kim, Tae-Il; Kim, Youngmi; Nam, Hyoungsik


    Recently, a simple, sensitive, and low-cost fluorescent indicator has been proposed to determine water contents in organic solvents, drugs, and foodstuffs. The change of water content leads to the change of the indicator's fluorescence color under the ultra-violet (UV) light. Whereas the water content values could be estimated from the spectrum obtained by a bulky and expensive spectrometer in the previous research, this paper demonstrates a simple and low-cost camera-based water content measurement scheme with the same fluorescent water indicator. Water content is calculated over the range of 0-30% by quadratic polynomial regression models with color information extracted from the captured images of samples. Especially, several color spaces such as RGB, xyY, L∗a∗b∗, u‧v‧, HSV, and YCBCR have been investigated to establish the optimal color information features over both linear and nonlinear RGB data given by a camera before and after gamma correction. In the end, a 2nd order polynomial regression model along with HSV in a linear domain achieves the minimum mean square error of 1.06% for a 3-fold cross validation method. Additionally, the resultant water content estimation model is implemented and evaluated in an off-the-shelf Android-based smartphone.

  4. Conceptualizing In-service Secondary School Science Teachers' Knowledge Base for Climate Change Content (United States)

    Campbell, K. M.; Roehrig, G.; Dalbotten, D. M.; Bhattacharya, D.; Nam, Y.; Varma, K.; Wang, J.


    The need to deepen teachers' knowledge of the science of climate change is crucial under a global climate change (GCC) scenario. With effective collaboration between researchers, scientists and teachers, conceptual frameworks can be developed for creating climate change content for classroom implementation. Here, we discuss how teachers' conceptualized content knowledge about GCC changes over the course of a professional development program in which they are provided with place-based and culturally congruent content. The NASA-funded Global Climate Change Education (GCCE) project, "CYCLES: Teachers Discovering Climate Change from a Native Perspective", is a 3-year teacher professional development program designed to develop culturally-sensitive approaches for GCCE in Native American communities using traditional knowledge, data and tools. As a part of this program, we assessed the progression in the content knowledge of participating teachers about GCC. Teachers were provided thematic GCC content focused on the elements of the medicine wheel-Earth, Fire, Air, Water, and Life -during a one week summer workshop. Content was organized to emphasize explanations of the natural world as interconnected and cyclical processes and to align with the Climate and Earth Science Literacy Principles and NASA resources. Year 1 workshop content was focused on the theme of "Earth" and teacher knowledge was progressively increased by providing content under the themes of 1) understanding of timescale, 2) understanding of local and global perspectives, 3) understanding of proxy data and 4) ecosystem connectivity. We used a phenomenographical approach for data analysis to qualitatively investigate different ways in which the teachers experienced and conceptualized GCC. We analyzed categories of teachers' climate change knowledge using information generated by tools such as photo elicitation interviews, concept maps and reflective journal perceptions. Preliminary findings from the pre

  5. A Web Page That Provides Map-Based Interfaces for VRML/X3D Contents (United States)

    Miyake, Yoshihiro; Suzaki, Kenichi; Araya, Shinji

    The electronic map is very useful for navigation in the VRML/X3D virtual environments. So far various map-based interfaces have been developed. But they are lacking for generality because they have been separately developed for individual VRML/X3D contents, and users must use different interfaces for different contents. Therefore we have developed a web page that provides a common map-based interface for VRML/X3D contents on the web. Users access VRML/X3D contents via the web page. The web page automatically generates a simplified map by analyzing the scene graph of downloaded contents, and embeds the mechanism to link the virtual world and the map. An avatar is automatically created and added to the map, and both a user and its avatar are bi-directionally linked together. In the simplified map, obstructive objects are removed and the other objects are replaced by base boxes. This paper proposes the architecture of the web page and the method to generate simplified maps. Finally, experimental system is developed in order to show the improvement of flame rates by simplifying the map.

  6. Trends in the Rare Earth Element Content of U.S.-Based Coal Combustion Fly Ashes. (United States)

    Taggart, Ross K; Hower, James C; Dwyer, Gary S; Hsu-Kim, Heileen


    Rare earth elements (REEs) are critical and strategic materials in the defense, energy, electronics, and automotive industries. The reclamation of REEs from coal combustion fly ash has been proposed as a way to supplement REE mining. However, the typical REE contents in coal fly ash, particularly in the United States, have not been comprehensively documented or compared among the major types of coal feedstocks that determine fly ash composition. The objective of this study was to characterize a broad selection of U.S. fly ashes of varied geological origin in order to rank their potential for REE recovery. The total and nitric acid-extractable REE content for more than 100 ash samples were correlated with characteristics such as the major element content and coal basin to elucidate trends in REE enrichment. Average total REE content (defined as the sum of the lanthanides, yttrium, and scandium) for ashes derived from Appalachian sources was 591 mg kg(-1) and significantly greater than in ashes from Illinois and Powder River basin coals (403 and 337 mg kg(-1), respectively). The fraction of critical REEs (Nd, Eu, Tb, Dy, Y, and Er) in the fly ashes was 34-38% of the total and considerably higher than in conventional ores (typically less than 15%). Powder River Basin ashes had the highest extractable REE content, with 70% of the total REE recovered by heated nitric acid digestion. This is likely due to the higher calcium content of Powder River Basin ashes, which enhances their solubility in nitric acid. Sc, Nd, and Dy were the major contributors to the total REE value in fly ash, based on their contents and recent market prices. Overall, this study shows that coal fly ash production could provide a substantial domestic supply of REEs, but the feasibility of recovery depends on the development of extraction technologies that could be tailored to the major mineral content and origins of the feed coal for the ash.

  7. Automating the construction of scene classifiers for content-based video retrieval

    NARCIS (Netherlands)

    Khan, L.; Israël, Menno; Petrushin, V.A.; van den Broek, Egon; van der Putten, Peter


    This paper introduces a real time automatic scene classifier within content-based video retrieval. In our envisioned approach end users like documentalists, not image processing experts, build classifiers interactively, by simply indicating positive examples of a scene. Classification consists of a

  8. Project Based-Content Language Integrated Learning (CLIL) at Mathematics Department Universitas Lampung (United States)

    Yufrizal, Hery; Huzairin; Hasan, Basturi


    This article aims at exploring whether project based content language integrated learning (CLIL) has a significant effect on the oral capability of students of science department of the University of Lampung. The number of students involved in this study was 88 students. Quantitative data was obtained from the value of students' English…

  9. New formulations of sunflower based bio-lubricants with high oleic acid content – VOSOLUB project

    Directory of Open Access Journals (Sweden)

    Leao J. D.


    Full Text Available VOSOLUB project is a demonstration project supported by Executive Agency for Small and Medium-sized Enterprises (EASME that aims at testing under real operating conditions new formulations of sunflower-based biolubricants with high oleic acid content. These biolubricant formulations (including hydraulic fluids, greases, and neat oil metal-working fluids will be tested in three European demonstrating sites. Their technical performance will be evaluated and compared to corresponding mineral lubricants ones. In order to cover the demand for the sunflower base oil, a European SMEs network will be established to ensure the supply of the base at a competitive market price. Results presented concerns the base oil quality confirmed to be in accordance with the specification required, in particular on Free Fatty acid content, Phosphorus content, rancimat induction time and oleic acid content (ITERG. The oil characteristics specific for lubricant application analyzed by BfB Oil Research under normalized methods, match with lubricant specifications requirement such as viscosity, cold & hot properties, surface properties, anti-oxidant properties and thermal stability, anti-wear and EP properties, anti-corrosion properties Performance of the new biolubricant have been assessed by formulators and TEKNIKER First results on the use of new lubricant on real condition for rail Grease (produced by RS CLARE and tested with Sheffield Supertram, Hydraulic oil (produced by BRUGAROLAS and cutting oil (produced by MOTUL TECH and tested with innovative machining, turning are described.

  10. Team-Based Learning: Moderating Effects of Metacognitive Elaborative Rehearsal and Middle School History Content Recall (United States)

    Roberts, Greg; Scammacca, Nancy; Osman, David J.; Hall, Colby; Mohammed, Sarojani S.; Vaughn, Sharon


    Promoting Acceleration of Comprehension and Content through Text (PACT) and similar team-based models directly engage and support students in learning situations that require cognitive elaboration as part of the processing of new information. Elaboration is subject to metacognitive control, as well (Karpicke, "Journal of Experimental…

  11. Design Guidelines for a Content-Based Image Retrieval Color-Selection Interface

    NARCIS (Netherlands)

    Eggen, Berry; van den Broek, Egon; van der Veer, Gerrit C.; Kisters, Peter M.F.; Willems, Rob; Vuurpijl, Louis G.


    In Content-Based Image Retrieval (CBIR) two query-methods exist: query-by-example and query-by-memory. The user either selects an example image or selects image features retrieved from memory (such as color, texture, spatial attributes, and shape) to define his query. Hitherto, research on CBIR

  12. Complex event processing for content-based text, image, and video retrieval

    NARCIS (Netherlands)

    Bowman, E.K.; Broome, B.D.; Holland, V.M.; Summers-Stay, D.; Rao, R.M.; Duselis, J.; Howe, J.; Madahar, B.K.; Boury-Brisset, A.C.; Forrester, B.; Kwantes, P.; Burghouts, G.; Huis, J. van; Mulayim, A.Y.


    This report summarizes the findings of an exploratory team of the North Atlantic Treaty Organization (NATO) Information Systems Technology panel into Content-Based Analytics (CBA). The team carried out a technical review into the current status of theoretical and practical developments of methods,

  13. A Novel Technique for Shape Feature Extraction Using Content Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Dhanoa Jaspreet Singh


    Full Text Available With the advent of technology and multimedia information, digital images are increasing very quickly. Various techniques are being developed to retrieve/search digital information or data contained in the image. Traditional Text Based Image Retrieval System is not plentiful. Since it is time consuming as it require manual image annotation. Also, the image annotation differs with different peoples. An alternate to this is Content Based Image Retrieval (CBIR system. It retrieves/search for image using its contents rather the text, keywords etc. A lot of exploration has been compassed in the range of Content Based Image Retrieval (CBIR with various feature extraction techniques. Shape is a significant image feature as it reflects the human perception. Moreover, Shape is quite simple to use by the user to define object in an image as compared to other features such as Color, texture etc. Over and above, if applied alone, no descriptor will give fruitful results. Further, by combining it with an improved classifier, one can use the positive features of both the descriptor and classifier. So, a tryout will be made to establish an algorithm for accurate feature (Shape extraction in Content Based Image Retrieval (CBIR. The main objectives of this project are: (a To propose an algorithm for shape feature extraction using CBIR, (b To evaluate the performance of proposed algorithm and (c To compare the proposed algorithm with state of art techniques.

  14. Content-Based Instruction Understood in Terms of Connectionism and Constructivism (United States)

    Lain, Stephanie


    Despite the number of articles devoted to the topic of content-based instruction (CBI), little attempt has been made to link the claims for CBI to research in cognitive science. In this article, I review the CBI model of foreign language (FL) instruction in the context of its close alignment with two emergent frameworks in cognitive science:…

  15. Teacher-Learner Negotiation in Content-Based Instruction: Communication at Cross-Purposes? (United States)

    Musumeci, Diane


    Examines teacher-student exchanges in three content-based language classrooms. Data reveal persistent archetypal patterns of classroom interaction; teachers speak most of the time, and they initiate the majority of the exchanges by asking display questions, whereas student-initiated requests are referential. (30 references) (Author/CK)

  16. The Impact of Content-Based Network Technologies on Perceptions of Nutrition Literacy (United States)

    Brewer, Hannah; Church, E. Mitchell; Brewer, Steven L.


    Background: Consumers are exposed to obesogenic environments on a regular basis. Building nutrition literacy is critical for sustaining healthy dietary habits for a lifetime and reducing the prevalence of chronic disease. Purpose: There is a need to investigate the impact of content-based network (CBN) technologies on perceptions of nutrition…

  17. Content-Based Image Retrieval Benchmarking: Utilizing color categories and color distributions

    NARCIS (Netherlands)

    van den Broek, Egon; Kisters, Peter M.F.; Vuurpijl, Louis G.

    From a human centered perspective three ingredients for Content-Based Image Retrieval (CBIR) were developed. First, with their existence confirmed by experimental data, 11 color categories were utilized for CBIR and used as input for a new color space segmentation technique. The complete HSI color

  18. Indexing, learning and content-based retrieval for special purpose image databases

    NARCIS (Netherlands)

    M.J. Huiskes (Mark); E.J. Pauwels (Eric)


    textabstractThis chapter deals with content-based image retrieval in special purpose image databases. As image data is amassed ever more effortlessly, building efficient systems for searching and browsing of image databases becomes increasingly urgent. We provide an overview of the current

  19. Automation of a Local Table of Contents Service Using dBase III. (United States)

    Bellamy, Lois M.; Guyton, Joanne


    Automation of a table of contents service at the Methodist Hospital School of Nursing Library using dBase III facilitates matching patrons with journals. The program is also used for journal check-in and mailing labels. Future applications may include production of a journal holdings list, statistics, and reporting. (21 references) (MES)

  20. An Overview of Data Models and Query Languages for Content-based Video Retrieval

    NARCIS (Netherlands)

    Petkovic, M.; Jonker, Willem

    As a large amount of video data becomes publicly available, the need to model and query this data efficiently becomes significant. Consequently, content-based retrieval of video data turns out to be a challenging and important problem addressing areas such as video modelling, indexing, querying,

  1. Thai EFL Learners' Attitudes and Motivation towards Learning English through Content-Based Instruction (United States)

    Lai Yuanxing; Aksornjarung, Prachamon


    This study examined EFL learners' attitudes and motivation towards learning English through content-based instruction (CBI) at a university in Thailand. Seventy-one (71) university students, the majority sophomores, answered a 6-point Likert scale questionnaire on attitudes and motivation together with six open-ended questions regarding learning…

  2. Task-Based Learning and Content and Language Integrated Learning Materials Design: Process and Product (United States)

    Moore, Pat; Lorenzo, Francisco


    Content and language integrated learning (CLIL) represents an increasingly popular approach to bilingual education in Europe. In this article, we describe and discuss a project which, in response to teachers' pleas for materials, led to the production of a significant bank of task-based primary and secondary CLIL units for three L2s (English,…

  3. Implementation of a Text-Based Content Intervention in Secondary Social Studies Classes (United States)

    Wanzek, Jeanne; Vaughn, Sharon


    We describe teacher fidelity (adherence to the components of the treatment as specified by the research team) based on a series of studies of a multicomponent intervention, Promoting Acceleration of Comprehension and Content Through Text (PACT), with middle and high school social studies teachers and their students. Findings reveal that even with…

  4. Degradation resistance of ormocer- and dimethacrylate-based matrices with different filler contents. (United States)

    Cavalcante, Larissa Maria; Schneider, Luis Felipe Jochims; Hammad, Mohammad; Watts, David C; Silikas, Nick


    To investigate the influence of matrix and filler content on degradation resistance of an experimental pure-ormocer and an dimethacrylate-based composite derived from a commercially available material. A dimethacrylate- Grandio (GR) and a model pure ormocer-based-matrix ORMOCER (ORM) were used. Each material had three different types according to their filler content (% w/w): regular (87% and 86%), flowable (80% and 79%) and fissure sealer (70% and 69%) for GR and ORM respectively. Disc-shaped (1 mm thickness×10 mm diameter) samples were prepared for each material (n=6). Water sorption and solubility tests were adapted from ISO4049. To evaluate porosity, specimens were scanned at a resolution of 19.4 μm and 3D reconstructions were made. The volume ratio of pores in the specimens were calculated and expressed as percentages. The results were submitted to 2-way ANOVA (factors: matrix and filler content) and Tukey post-hoc statistic test (p=0.05). Filler content influenced the water sorption for the ormocer-matrix and the water solubility for the dimethacrylates. ORMOCER regular was a less porous material compared to flowable and sealer formulations. On the other hand, the filler content had no effect on porosity for Grandio. Modifications made in the pure ormocer-matrix formulation were not significantly important to produce a more water-stable material compared to the dimethacrylate-matrix composite materials. Copyright © 2011 Elsevier Ltd. All rights reserved.

  5. The Job Content, Context, and Requirements of Regulated Home-Based Childcare Workers. (United States)

    Stitou, Mariam; Bourgeault, Ivy-Lynn; Kohen, Dafna


    Contrary to a large and growing literature on center-based childcare workers, we know little about the work and health experiences of those providing childcare services in their homes. This study examines the job content, context, and requirements of regulated Home-Based Childcare workers in Canada. It is based on the qualitative analysis of eleven individual semistructured interviews. These workers perform business administration tasks and more housekeeping and domestic work than those in the center-based childcare, which affect their health and well-being. In addition, they reported factors related to the context and the content of their job such as the high physical and mental efforts, the absence of contact with other adults during working hours, the lack of external help, the exposure to noise and bad odors, the interference of work with personal and family life, the precarious remuneration, and the lack of benefits as potential factors that may affect their health.

  6. Identifying content-based and relational techniques to change behaviour in motivational interviewing. (United States)

    Hardcastle, Sarah J; Fortier, Michelle; Blake, Nicola; Hagger, Martin S


    Motivational interviewing (MI) is a complex intervention comprising multiple techniques aimed at changing health-related motivation and behaviour. However, MI techniques have not been systematically isolated and classified. This study aimed to identify the techniques unique to MI, classify them as content-related or relational, and evaluate the extent to which they overlap with techniques from the behaviour change technique taxonomy version 1 [BCTTv1; Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., … Wood, C. E. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 81-95]. Behaviour change experts (n = 3) content-analysed MI techniques based on Miller and Rollnick's [(2013). Motivational interviewing: Preparing people for change (3rd ed.). New York: Guildford Press] conceptualisation. Each technique was then coded for independence and uniqueness by independent experts (n = 10). The experts also compared each MI technique to those from the BCTTv1. Experts identified 38 distinct MI techniques with high agreement on clarity, uniqueness, preciseness, and distinctiveness ratings. Of the identified techniques, 16 were classified as relational techniques. The remaining 22 techniques were classified as content based. Sixteen of the MI techniques were identified as having substantial overlap with techniques from the BCTTv1. The isolation and classification of MI techniques will provide researchers with the necessary tools to clearly specify MI interventions and test the main and interactive effects of the techniques on health behaviour. The distinction between relational and content-based techniques within MI is also an important advance, recognising that changes in motivation and behaviour in MI is a function of both intervention content and the interpersonal style

  7. Scalable Security and Accounting Services for Content-Based Publish/Subscribe Systems


    Himanshu Khurana; Radostina K. Koleva


    Content-based publish/subscribe systems offer an interaction scheme that is appropriate for a variety of large-scale dynamic applications. However, widespread use of these systems is hindered by a lack of suitable security services. In this paper, we present scalable solutions for confidentiality, integrity, and authentication for these systems. We also provide verifiable usage-based accounting services, which are required for e-commerce and e-business applications that use publish/subscribe ...

  8. Decentralized Caching for Content Delivery Based on Blockchain: A Game Theoretic Perspective


    Wang, Wenbo; Niyato, Dusit; Wang, Ping; Leshem, Amir


    Blockchains enables tamper-proof, ordered logging for transactional data in a decentralized manner over open-access, overlay peer-to-peer networks. In this paper, we propose a decentralized framework of proactive caching in a hierarchical wireless network based on blockchains. We employ the blockchain-based smart contracts to construct an autonomous content caching market. In the market, the cache helpers are able to autonomously adapt their caching strategies according to the market statisti...

  9. Inorganic arsenic contents in rice-based infant foods from Spain, UK, China and USA

    International Nuclear Information System (INIS)

    Carbonell-Barrachina, Ángel A.; Wu, Xiangchun; Ramírez-Gandolfo, Amanda; Norton, Gareth J.; Burló, Francisco; Deacon, Claire; Meharg, Andrew A.


    Spanish gluten-free rice, cereals with gluten, and pureed baby foods were analysed for total (t-As) and inorganic As (i-As) using ICP-MS and HPLC–ICP-MS, respectively. Besides, pure infant rice from China, USA, UK and Spain were also analysed. The i-As contents were significantly higher in gluten-free rice than in cereals mixtures with gluten, placing infants with celiac disease at high risk. All rice-based products displayed a high i-As content, with values being above 60% of the t-As content and the remainder being dimethylarsinic acid (DMA). Approximately 77% of the pure infant rice samples showed contents below 150 μg kg −1 (Chinese limit). When daily intake of i-As by infants (4–12 months) was estimated and expressed on a bodyweight basis (μg d −1 kg −1 ), it was higher in all infants aged 8–12 months than drinking water maximum exposures predicted for adults (assuming 1 L consumption per day for a 10 μg L −1 standard). Highlights: ► Inorganic As was higher in rice-based foods than in items based on other cereals. ► Total As was very high in fish-based foods but As was present as non-toxic species. ► The maximum daily intake of i-As was found between 8 and 12 months of age. ► Pure infant rice samples from Spain presented relatively low i-As contents. ► Infants with the celiac disease are exposed to elevated levels of i-As. - Infants with the celiac disease are exposed to high levels of inorganic arsenic because of their high consumption of rice-based foods.

  10. Automatic content extraction of filled-form images based on clustering component block projection vectors (United States)

    Peng, Hanchuan; He, Xiaofeng; Long, Fuhui


    Automatic understanding of document images is a hard problem. Here we consider a sub-problem, automatically extracting content from filled form images. Without pre-selected templates or sophisticated structural/semantic analysis, we propose a novel approach based on clustering the component-block-projection-vectors. By combining spectral clustering and minimal spanning tree clustering, we generate highly accurate clusters, from which the adaptive templates are constructed to extract the filled-in content. Our experiments show this approach is effective for a set of 1040 US IRS tax form images belonging to 208 types.

  11. Research of image retrieval system framework based on ontology and content (United States)

    Liu, Hong


    The current most desirable image retrieval feature is retrieving images based on their semantic content. In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the 'semantic gap' between the visual features and the richness of human semantics. In this paper, we put forward a system framework of image retrieval based on content and ontology, which has the potential to fully describe the semantic content of an image, allowing the similarity between images and retrieval query to be computed accurately. In the system, we identify third major categories of techniques in narrowing down the "semantic gap": (1) using object ontology to define high-level concepts; (2) using machine learning methods to associate low-level features with query concepts; (3) using ontology reasoning to extend image retrieval. Finally, the paper does some testing experiment, whose result shows the feasibility of the system framework.

  12. Content-based Image Hiding Method for Secure Network Biometric Verification

    Directory of Open Access Journals (Sweden)

    Xiangjiu Che


    Full Text Available For secure biometric verification, most existing methods embed biometric information directly into the cover image, but content correlation analysis between the biometric image and the cover image is often ignored. In this paper, we propose a novel biometric image hiding approach based on the content correlation analysis to protect the network-based transmitted image. By using principal component analysis (PCA, the content correlation between the biometric image and the cover image is firstly analyzed. Then based on particle swarm optimization (PSO algorithm, some regions of the cover image are selected to represent the biometric image, in which the cover image can carry partial content of the biometric image. As a result of the correlation analysis, the unrepresented part of the biometric image is embedded into the cover image by using the discrete wavelet transform (DWT. Combined with human visual system (HVS model, this approach makes the hiding result perceptually invisible. The extensive experimental results demonstrate that the proposed hiding approach is robust against some common frequency and geometric attacks; it also provides an effective protection for the secure biometric verification.

  13. Stiffness of a granular base under optimum and saturated water contents

    Directory of Open Access Journals (Sweden)

    Fausto Andrés Molina Gómez


    Full Text Available Objective: This research work addressed the comparison of the stiffness of a granular base under optimum water content and total saturation conditions. Methodology: The methodology focused in the development of an experimental program and the computation of a function, which permits to assess the elastic moduli of the material. A triaxial cell equipped by local LVDT transducers, capable of managing different stress paths, was used to measure the small-strain stiffness of a granular base under two different conditions of moisture. The material was compacted with optimum water content and subjected to a series of loading-unloading cycles under isotropic conditions. In addition, identical specimens were prepared to be saturated and the experimental procedure was repeated to obtain the moduli in these new circumstances. The moduli were assessed by a hyperbolic model, and its relationship with the confining pressure was computed. Results: The results indicated that numerical model was adjusted to the experimental results. In addition, it was found that the elastic moduli decrease 3% to 8% in conditions of total saturation versus the condition of optimum water contents. Conclusions: The small-strain stiffness in the granular base depends on the water content, and the moisture can affect the deformation in the pavement structures.

  14. Propedeutic fraction learning based on content integration in the initial teaching of mathematics

    Directory of Open Access Journals (Sweden)

    Lazić Bojan


    Full Text Available The paper presents the methodological approach of propedeutic introduction to fractions, based on the integration of the mathematical contents, with the aim to examine whether this approach to contents in initial mathematical education enhances the quality of learners' knowledge. The quality of knowledge was assessed according to successful application of acquired knowledge in solving problem tasks and tasks presented in realistic context. The empirical test of the offered methodological approach was verified within an experimental research with the sample comprising the fourth-grade pupils of an elementary school during regular math classes. The results of the research show that the integration of contents in propedeutic learning enhances significantly pupils' successfulness in independent solving problem tasks and application of acquired knowledge in solving tasks presented in a realistic context.

  15. Implementation of a Text-Based Content Intervention in Secondary Social Studies Classes. (United States)

    Wanzek, Jeanne; Vaughn, Sharon


    We describe teacher fidelity (adherence to the components of the treatment as specified by the research team) based on a series of studies of a multicomponent intervention, Promoting Acceleration of Comprehension and Content Through Text (PACT), with middle and high school social studies teachers and their students. Findings reveal that even with highly specified materials and implementing practices that are aligned with effective reading comprehension and content instruction, teachers' fidelity was consistently low for some components and high for others. Teachers demonstrated consistently high implementation fidelity and quality for the instructional components of building background knowledge (comprehension canopy) and teaching key content vocabulary (essential words), whereas we recorded consistently lower fidelity and quality of implementation for the instructional components of critical reading and knowledge application. © 2016 Wiley Periodicals, Inc.

  16. Development of Novel N-isopropylacrylamide (NIPAAm Based Hydrogels with Varying Content of Chrysin Multiacrylate

    Directory of Open Access Journals (Sweden)

    Shuo Tang


    Full Text Available A series of novel temperature responsive hydrogels were synthesized by free radical polymerization with varying content of chrysin multiacrylate (ChryMA. The goal was to study the impact of this novel polyphenolic-based multiacrylate on the properties of N-isopropylacrylamide (NIPAAm hydrogels. The temperature responsive behavior of the copolymerized gels was characterized by swelling studies, and their lower critical solution temperature (LCST was characterized through differential scanning calorimetry (DSC. It was shown that the incorporation of ChryMA decreased the swelling ratios of the hydrogels and shifted their LCSTs to a lower temperature. Gels with different ChryMA content showed different levels of response to temperature change. Higher content gels had a broader phase transition and smaller temperature response, which could be attributed to the increased hydrophobicity being introduced by the ChryMA.

  17. Social media use by community-based organizations conducting health promotion: a content analysis. (United States)

    Ramanadhan, Shoba; Mendez, Samuel R; Rao, Megan; Viswanath, Kasisomayajula


    Community-based organizations (CBOs) are critical channels for the delivery of health promotion programs. Much of their influence comes from the relationships they have with community members and other key stakeholders and they may be able to harness the power of social media tools to develop and maintain these relationships. There are limited data describing if and how CBOs are using social media. This study assesses the extent to which CBOs engaged in health promotion use popular social media channels, the types of content typically shared, and the extent to which the interactive aspects of social media tools are utilized. We assessed the social media presence and patterns of usage of CBOs engaged in health promotion in Boston, Lawrence, and Worcester, Massachusetts. We coded content on three popular channels: Facebook, Twitter, and YouTube. We used content analysis techniques to quantitatively summarize posts, tweets, and videos on these channels, respectively. For each organization, we coded all content put forth by the CBO on the three channels in a 30-day window. Two coders were trained and conducted the coding. Data were collected between November 2011 and January 2012. A total of 166 organizations were included in our census. We found that 42% of organizations used at least one of the channels of interest. Across the three channels, organization promotion was the most common theme for content (66% of posts, 63% of tweets, and 93% of videos included this content). Most organizations updated Facebook and Twitter content at rates close to recommended frequencies. We found limited interaction/engagement with audience members. Much of the use of social media tools appeared to be uni-directional, a flow of information from the organization to the audience. By better leveraging opportunities for interaction and user engagement, these organizations can reap greater benefits from the non-trivial investment required to use social media well. Future research should

  18. Based on user interest level of modeling scenarios and browse content (United States)

    Zhao, Yang


    User interest modeling is the core of personalized service, taking into account the impact of situational information on user preferences, the user behavior days of financial information. This paper proposes a method of user interest modeling based on scenario information, which is obtained by calculating the similarity of the situation. The user's current scene of the approximate scenario set; on the "user - interest items - scenarios" three-dimensional model using the situation pre-filtering method of dimension reduction processing. View the content of the user interested in the theme, the analysis of the page content to get each topic of interest keywords, based on the level of vector space model user interest. The experimental results show that the user interest model based on the scenario information is within 9% of the user's interest prediction, which is effective.

  19. Antioxidant activity and total phenolic content in Red Ginger (Zingiber officinale) based drinks (United States)

    Widayat; Cahyono, B.; Satriadi, H.; Munfarida, S.


    Indonesia is a rich spices country, both as a cooking spice and medicine. One of the most abundant commodities is red ginger, where it still less in application. On the other hand, the level of pollution is higher, so antioxidants are needed to protect the body cells from the bad effects of free radicals. The body can not naturally produce antioxidants as needed, so we need to consume foods with high antioxidant content. The purpose of this study is to know the antioxidant activity and total phenolic content in red ginger (Zingiber officinale) based drinks. Research design with complete randomized design (RAL) with factorial pattern 3 x 3, as the first factor is red ginger extract and water ratio (1: 1, 1: 2 and 1: 3) and second factor is the type of sugar used (cane sugar, palm sugar and mixed sugar). The results of this study indicate that red ginger extract and water ratio of 1: 3 give higher antioxidant. The highest antioxidant obtained in red ginger extract and water ratio of 1: 3 and using mixed sugar. That antioxidants value is 88.56%, it is not significant decreased compared to the antioxidant of pure ginger extract that is 91.46%. For higher phenol total content obtained on syrup that uses palm sugar. The highest phenol total content obtained in red ginger extract and water ratio of 1: 1 and using palm sugar. That total phenol content value is 6299 ppm.

  20. Addressing the systems-based practice requirement with health policy content and educational technology. (United States)

    Nagler, Alisa; Andolsek, Kathryn; Dossary, Kristin; Schlueter, Joanne; Schulman, Kevin


    Duke University Hospital Office of Graduate Medical Education and Duke University's Fuqua School of Business collaborated to offer a Health Policy lecture series to residents and fellows across the institution, addressing the "Systems-based Practice" competency.During the first year, content was offered in two formats: live lecture and web/podcast. Participants could elect the modality which was most convenient for them. In Year Two, the format was changed so that all content was web/podcast and a quarterly live panel discussion was led by module presenters or content experts. Lecture evaluations, qualitative focus group feedback, and post-test data were analyzed.A total of 77 residents and fellows from 8 (of 12) Duke Graduate Medical Education departments participated. In the first year, post-test results were the same for those who attended the live lectures and those who participated via web/podcast. A greater number of individuals participated in Year Two. Participants from both years expressed the need for health policy content in their training programs. Participants in both years valued a hybrid format for content delivery, recognizing a desire for live interaction with the convenience of accessing web/podcasts at times and locations convenient for them. A positive unintended consequence of the project was participant networking with residents and fellows from other specialties.

  1. Leaf Chlorophyll Content Estimation of Winter Wheat Based on Visible and Near-Infrared Sensors. (United States)

    Zhang, Jianfeng; Han, Wenting; Huang, Lvwen; Zhang, Zhiyong; Ma, Yimian; Hu, Yamin


    The leaf chlorophyll content is one of the most important factors for the growth of winter wheat. Visual and near-infrared sensors are a quick and non-destructive testing technology for the estimation of crop leaf chlorophyll content. In this paper, a new approach is developed for leaf chlorophyll content estimation of winter wheat based on visible and near-infrared sensors. First, the sliding window smoothing (SWS) was integrated with the multiplicative scatter correction (MSC) or the standard normal variable transformation (SNV) to preprocess the reflectance spectra images of wheat leaves. Then, a model for the relationship between the leaf relative chlorophyll content and the reflectance spectra was developed using the partial least squares (PLS) and the back propagation neural network. A total of 300 samples from areas surrounding Yangling, China, were used for the experimental studies. The samples of visible and near-infrared spectroscopy at the wavelength of 450,900 nm were preprocessed using SWS, MSC and SNV. The experimental results indicate that the preprocessing using SWS and SNV and then modeling using PLS can achieve the most accurate estimation, with the correlation coefficient at 0.8492 and the root mean square error at 1.7216. Thus, the proposed approach can be widely used for winter wheat chlorophyll content analysis.

  2. A Fuzzy Color-Based Approach for Understanding Animated Movies Content in the Indexing Task

    Directory of Open Access Journals (Sweden)

    Vasile Buzuloiu


    Full Text Available This paper proposes a method for detecting and analyzing the color techniques used in the animated movies. Each animated movie uses a specific color palette which makes its color distribution one major feature in analyzing the movie content. The color palette is specially tuned by the author in order to convey certain feelings or to express artistic concepts. Deriving semantic or symbolic information from the color concepts or the visual impression induced by the movie should be an ideal way of accessing its content in a content-based retrieval system. The proposed approach is carried out in two steps. The first processing step is the low-level analysis. The movie color content gets represented with several global statistical parameters computed from the movie global weighted color histogram. The second step is the symbolic representation of the movie content. The numerical parameters obtained from the first step are converted into meaningful linguistic concepts through a fuzzy system. They concern mainly the predominant hues of the movie, some of Itten’s color contrasts and harmony schemes, color relationships and color richness. We use the proposed linguistic concepts to link to given animated movies according to their color techniques. In order to make the retrieval task easier, we also propose to represent color properties in a graphical manner which is similar to the color gamut representation. Several tests have been conducted on an animated movie database.

  3. Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

    Directory of Open Access Journals (Sweden)

    Marica Amadeo


    Full Text Available Named Data Networking (NDN has been recently proposed as a prominent solution for content delivery in the Internet of Vehicles (IoV, where cars equipped with a variety of wireless communication technologies exchange information aimed to support safety, traffic efficiency, monitoring and infotainment applications. The main NDN tenets, i.e., name-based communication and in-network caching, perfectly fit the demands of time- and spatially-relevant content requested by vehicles regardless of their provenance. However, existing vehicular NDN solutions have not been targeted to wisely ensure prioritized traffic treatment based on the specific needs of heterogeneous IoV content types. In this work, we propose a holistic NDN solution that, according to the demands of data traffic codified in NDN content names, dynamically shapes the NDN forwarding decisions to ensure the appropriate prioritization. Specifically, our proposal first selects the outgoing interface(s (i.e., 802.11, LTE for NDN packets and then properly tunes the timing of the actual transmissions. Simulation results show that the proposed enhancements succeed in achieving differentiated traffic treatment, while keeping traffic load under control.

  4. Social Content Recommendation Based on Spatial-Temporal Aware Diffusion Modeling in Social Networks

    Directory of Open Access Journals (Sweden)

    Farman Ullah


    Full Text Available User interactions in online social networks (OSNs enable the spread of information and enhance the information dissemination process, but at the same time they exacerbate the information overload problem. In this paper, we propose a social content recommendation method based on spatial-temporal aware controlled information diffusion modeling in OSNs. Users interact more frequently when they are close to each other geographically, have similar behaviors, and fall into similar demographic categories. Considering these facts, we propose multicriteria-based social ties relationship and temporal-aware probabilistic information diffusion modeling for controlled information spread maximization in OSNs. The proposed social ties relationship modeling takes into account user spatial information, content trust, opinion similarity, and demographics. We suggest a ranking algorithm that considers the user ties strength with friends and friends-of-friends to rank users in OSNs and select highly influential injection nodes. These nodes are able to improve social content recommendations, minimize information diffusion time, and maximize information spread. Furthermore, the proposed temporal-aware probabilistic diffusion process categorizes the nodes and diffuses the recommended content to only those users who are highly influential and can enhance information dissemination. The experimental results show the effectiveness of the proposed scheme.

  5. Topsoil organic carbon content of Europe, a new map based on a generalised additive model (United States)

    de Brogniez, Delphine; Ballabio, Cristiano; Stevens, Antoine; Jones, Robert J. A.; Montanarella, Luca; van Wesemael, Bas


    There is an increasing demand for up-to-date spatially continuous organic carbon (OC) data for global environment and climatic modeling. Whilst the current map of topsoil organic carbon content for Europe (Jones et al., 2005) was produced by applying expert-knowledge based pedo-transfer rules on large soil mapping units, the aim of this study was to replace it by applying digital soil mapping techniques on the first European harmonised geo-referenced topsoil (0-20 cm) database, which arises from the LUCAS (land use/cover area frame statistical survey) survey. A generalized additive model (GAM) was calibrated on 85% of the dataset (ca. 17 000 soil samples) and a backward stepwise approach selected slope, land cover, temperature, net primary productivity, latitude and longitude as environmental covariates (500 m resolution). The validation of the model (applied on 15% of the dataset), gave an R2 of 0.27. We observed that most organic soils were under-predicted by the model and that soils of Scandinavia were also poorly predicted. The model showed an RMSE of 42 g kg-1 for mineral soils and of 287 g kg-1 for organic soils. The map of predicted OC content showed the lowest values in Mediterranean countries and in croplands across Europe, whereas highest OC content were predicted in wetlands, woodlands and in mountainous areas. The map of standard error of the OC model predictions showed high values in northern latitudes, wetlands, moors and heathlands, whereas low uncertainty was mostly found in croplands. A comparison of our results with the map of Jones et al. (2005) showed a general agreement on the prediction of mineral soils' OC content, most probably because the models use some common covariates, namely land cover and temperature. Our model however failed to predict values of OC content greater than 200 g kg-1, which we explain by the imposed unimodal distribution of our model, whose mean is tilted towards the majority of soils, which are mineral. Finally, average

  6. High content screening for G protein-coupled receptors using cell-based protein translocation assays

    DEFF Research Database (Denmark)

    Grånäs, Charlotta; Lundholt, Betina Kerstin; Heydorn, Arne


    G protein-coupled receptors (GPCRs) have been one of the most productive classes of drug targets for several decades, and new technologies for GPCR-based discovery promise to keep this field active for years to come. While molecular screens for GPCR receptor agonist- and antagonist-based drugs...... as valuable discovery tools for several years. The application of high content cell-based screening to GPCR discovery has opened up additional possibilities, such as direct tracking of GPCRs, G proteins and other signaling pathway components using intracellular translocation assays. These assays provide...

  7. Agent Based Framework Architecture for Supporting Content Adaptation for Mobile Government

    Directory of Open Access Journals (Sweden)

    Hasan Omar Al-Sakran


    Full Text Available Rapid spread of smart mobile technology that supports internet access is transforming the way governments provide services to their citizens. Mobile devices have different capabilities based on the manufacturers and models. This paper proposes a new framework for adapting the content of M-government services using mobile agent technology. The framework is based on a mediation architecture that uses multiple mobile agents and XML as semi-structure mediation language. The flexibility of the mediation and XML provide an adaptive environment to stream data based on the capabilities of the device sending the query to the system.

  8. Plant leaf chlorophyll content retrieval based on a field imaging spectroscopy system. (United States)

    Liu, Bo; Yue, Yue-Min; Li, Ru; Shen, Wen-Jing; Wang, Ke-Lin


    A field imaging spectrometer system (FISS; 380-870 nm and 344 bands) was designed for agriculture applications. In this study, FISS was used to gather spectral information from soybean leaves. The chlorophyll content was retrieved using a multiple linear regression (MLR), partial least squares (PLS) regression and support vector machine (SVM) regression. Our objective was to verify the performance of FISS in a quantitative spectral analysis through the estimation of chlorophyll content and to determine a proper quantitative spectral analysis method for processing FISS data. The results revealed that the derivative reflectance was a more sensitive indicator of chlorophyll content and could extract content information more efficiently than the spectral reflectance, which is more significant for FISS data compared to ASD (analytical spectral devices) data, reducing the corresponding RMSE (root mean squared error) by 3.3%-35.6%. Compared with the spectral features, the regression methods had smaller effects on the retrieval accuracy. A multivariate linear model could be the ideal model to retrieve chlorophyll information with a small number of significant wavelengths used. The smallest RMSE of the chlorophyll content retrieved using FISS data was 0.201 mg/g, a relative reduction of more than 30% compared with the RMSE based on a non-imaging ASD spectrometer, which represents a high estimation accuracy compared with the mean chlorophyll content of the sampled leaves (4.05 mg/g). Our study indicates that FISS could obtain both spectral and spatial detailed information of high quality. Its image-spectrum-in-one merit promotes the good performance of FISS in quantitative spectral analyses, and it can potentially be widely used in the agricultural sector.

  9. A Protocol for Content-Based Communication in Disconnected Mobile Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Julien Haillot


    Full Text Available In content-based communication, information flows towards interested hosts rather than towards specifically set destinations. This new style of communication perfectly fits the needs of applications dedicated to information sharing, news distribution, service advertisement and discovery, etc. In this paper we address the problem of supporting content-based communication in partially or intermittently connected mobile ad hoc networks (MANETs. The protocol we designed leverages on the concepts of opportunistic networking and delay-tolerant networking in order to account for the absence of end-to-end connectivity in disconnected MANETs. The paper provides an overview of the protocol, as well as simulation results that show how this protocol can perform in realistic conditions.

  10. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications.

    Directory of Open Access Journals (Sweden)

    Titipat Achakulvisut

    Full Text Available Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate.

  11. Fast Measurement of Soluble Solid Content in Mango Based on Visible and Infrared Spectroscopy Technique (United States)

    Yu, Jiajia; He, Yong

    Mango is a kind of popular tropical fruit, and the soluble solid content is an important in this study visible and short-wave near-infrared spectroscopy (VIS/SWNIR) technique was applied. For sake of investigating the feasibility of using VIS/SWNIR spectroscopy to measure the soluble solid content in mango, and validating the performance of selected sensitive bands, for the calibration set was formed by 135 mango samples, while the remaining 45 mango samples for the prediction set. The combination of partial least squares and backpropagation artificial neural networks (PLS-BP) was used to calculate the prediction model based on raw spectrum data. Based on PLS-BP, the determination coefficient for prediction (Rp) was 0.757 and root mean square and the process is simple and easy to operate. Compared with the Partial least squares (PLS) result, the performance of PLS-BP is better.

  12. NUNI (New User and New Item) Problem for SRSs Using Content Aware Multimedia-Based Approach

    DEFF Research Database (Denmark)

    Chaudhary, Pankaj; Deshmukh, Aaradhana A.; Mihovska, Albena Dimitrova


    Recommendation systems suggest items and users of interest based on preferences of items or users and item or user attributes. In social media-based services of dynamic content (such as news, blog, video, movies, books, etc.), recommender systems face the problem of discovering new items, new users......, and both, a problem known as a cold start problem, i.e., the incapability to provide recommendation for new items, new users, or both, due to few rating factors available in the rating matrices. To this end, we present a biclustering technique, a novel cold start recommendation method that solves...... the problem of identifying the new items and new users, to alleviate the dimensionality of the item-user rating matrix using biclustering technique. To overcome the information exiguity and rating diversity, it uses the smoothing and fusion technique. As discussed, the system presents content aware multimedia...

  13. [Determination of film thickness, component and content based on glass surface by using XRF spectrometry]. (United States)

    Mei, Yan; Ma, Mi-Xia; Nie, Zuo-Ren


    Film thickness, component and content based on glass surface were determined by using XRF technic, measure condition and instrument work condition in every layer were set and adjusted for the best measure effect for every element. Background fundamental parameter (BG-FP) method was built up. Measure results with this method were consistent with the actual preparation course and the method could fit to production application.

  14. Content-Based Instruction Approach in Instructional Multimedia for English Learning


    Farani, Rizki


    Content-based Instruction (CBI) is an approach in English learning that integrates certain topic and English learning objectives. This approach focuses on using English competencies as a “bridge” to comprehend certain topic or theme in English. Nowadays, this approach can be used in instructional multimedia to support English learning by using computer. Instructional multimedia with computer system refers to the sequential or simultaneous use of variety of media formats in a given presentatio...

  15. Content of web-based continuing medical education about HPV vaccination. (United States)

    Kornides, Melanie L; Garrell, Jacob M; Gilkey, Melissa B


    Addressing low HPV vaccination coverage will require U.S. health care providers to improve their recommendation practices and vaccine delivery systems. Because readily available continuing medical education (CME) could be an important tool for supporting providers in this process, we sought to assess the content of web-based CME activities related to HPV vaccination. We conducted a content analysis of web-based CME activities about HPV vaccination available to U.S. primary care providers in May-September 2016. Using search engines, educational clearinghouses, and our professional networks, we identified 15 activities eligible for study inclusion. Through a process of open coding, we identified 45 commonly occurring messages in the CME activities, which we organized into five topic areas: delivering recommendations for HPV vaccination, addressing common parent concerns, implementing office-based strategies to increase HPV vaccination coverage, HPV epidemiology, and guidelines for HPV vaccine administration and safety. Using a standardized abstraction form, two coders then independently assessed which of the 45 messages each CME activity included. CME activities varied in the amount of content they delivered, with inclusion of the 45 messages ranging from 17% to 86%. Across activities, the most commonly included messages were related to guidelines for HPV vaccine administration and safety. For example, all activities (100%) specified that routine administration is recommended for ages 11 and 12. Most activities (73%) also noted that provider recommendations are highly influential. Fewer activities modeled examples of effective recommendations (47%), gave specific approaches to addressing common parent concerns (47%), or included guidance on office-based strategies to increase coverage (40%). Given that many existing CME activities lack substantive content on how to change provider practice, future activities should focus on the practical application of interpersonal

  16. Archetype-based conversion of EHR content models: pilot experience with a regional EHR system (United States)


    Background Exchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format. Methods The openEHR EHR Reference Model (RM) and Archetype Model (AM) specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bi-directional conversion between openEHR archetypes and COSMIC templates. Results Automated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats. Conclusion The openEHR RM and AM are expressive enough to represent the existing clinical

  17. Content-Based Multi-Channel Network Coding Algorithm in the Millimeter-Wave Sensor Network. (United States)

    Lin, Kai; Wang, Di; Hu, Long


    With the development of wireless technology, the widespread use of 5G is already an irreversible trend, and millimeter-wave sensor networks are becoming more and more common. However, due to the high degree of complexity and bandwidth bottlenecks, the millimeter-wave sensor network still faces numerous problems. In this paper, we propose a novel content-based multi-channel network coding algorithm, which uses the functions of data fusion, multi-channel and network coding to improve the data transmission; the algorithm is referred to as content-based multi-channel network coding (CMNC). The CMNC algorithm provides a fusion-driven model based on the Dempster-Shafer (D-S) evidence theory to classify the sensor nodes into different classes according to the data content. By using the result of the classification, the CMNC algorithm also provides the channel assignment strategy and uses network coding to further improve the quality of data transmission in the millimeter-wave sensor network. Extensive simulations are carried out and compared to other methods. Our simulation results show that the proposed CMNC algorithm can effectively improve the quality of data transmission and has better performance than the compared methods.

  18. Content-Based Multi-Channel Network Coding Algorithm in the Millimeter-Wave Sensor Network

    Directory of Open Access Journals (Sweden)

    Kai Lin


    Full Text Available With the development of wireless technology, the widespread use of 5G is already an irreversible trend, and millimeter-wave sensor networks are becoming more and more common. However, due to the high degree of complexity and bandwidth bottlenecks, the millimeter-wave sensor network still faces numerous problems. In this paper, we propose a novel content-based multi-channel network coding algorithm, which uses the functions of data fusion, multi-channel and network coding to improve the data transmission; the algorithm is referred to as content-based multi-channel network coding (CMNC. The CMNC algorithm provides a fusion-driven model based on the Dempster-Shafer (D-S evidence theory to classify the sensor nodes into different classes according to the data content. By using the result of the classification, the CMNC algorithm also provides the channel assignment strategy and uses network coding to further improve the quality of data transmission in the millimeter-wave sensor network. Extensive simulations are carried out and compared to other methods. Our simulation results show that the proposed CMNC algorithm can effectively improve the quality of data transmission and has better performance than the compared methods.

  19. Predicting apple tree leaf nitrogen content based on hyperspectral applying wavelet and wavelet packet analysis (United States)

    Zhang, Yao; Zheng, Lihua; Li, Minzan; Deng, Xiaolei; Sun, Hong


    The visible and NIR spectral reflectance were measured for apple leaves by using a spectrophotometer in fruit-bearing, fruit-falling and fruit-maturing period respectively, and the nitrogen content of each sample was measured in the lab. The analysis of correlation between nitrogen content of apple tree leaves and their hyperspectral data was conducted. Then the low frequency signal and high frequency noise reduction signal were extracted by using wavelet packet decomposition algorithm. At the same time, the original spectral reflectance was denoised taking advantage of the wavelet filtering technology. And then the principal components spectra were collected after PCA (Principal Component Analysis). It was known that the model built based on noise reduction principal components spectra reached higher accuracy than the other three ones in fruit-bearing period and physiological fruit-maturing period. Their calibration R2 reached 0.9529 and 0.9501, and validation R2 reached 0.7285 and 0.7303 respectively. While in the fruit-falling period the model based on low frequency principal components spectra reached the highest accuracy, and its calibration R2 reached 0.9921 and validation R2 reached 0.6234. The results showed that it was an effective way to improve ability of predicting apple tree nitrogen content based on hyperspectral analysis by using wavelet packet algorithm.

  20. Inorganic arsenic contents in rice-based infant foods from Spain, UK, China and USA. (United States)

    Carbonell-Barrachina, Angel A; Wu, Xiangchun; Ramírez-Gandolfo, Amanda; Norton, Gareth J; Burló, Francisco; Deacon, Claire; Meharg, Andrew A


    Spanish gluten-free rice, cereals with gluten, and pureed baby foods were analysed for total (t-As) and inorganic As (i-As) using ICP-MS and HPLC-ICP-MS, respectively. Besides, pure infant rice from China, USA, UK and Spain were also analysed. The i-As contents were significantly higher in gluten-free rice than in cereals mixtures with gluten, placing infants with celiac disease at high risk. All rice-based products displayed a high i-As content, with values being above 60% of the t-As content and the remainder being dimethylarsinic acid (DMA). Approximately 77% of the pure infant rice samples showed contents below 150 μg kg(-1) (Chinese limit). When daily intake of i-As by infants (4-12 months) was estimated and expressed on a bodyweight basis (μg d(-1) kg(-1)), it was higher in all infants aged 8-12 months than drinking water maximum exposures predicted for adults (assuming 1 L consumption per day for a 10 μg L(-1) standard). Copyright © 2012 Elsevier Ltd. All rights reserved.

  1. Novel Approach to Classify Plants Based on Metabolite-Content Similarity

    Directory of Open Access Journals (Sweden)

    Kang Liu


    Full Text Available Secondary metabolites are bioactive substances with diverse chemical structures. Depending on the ecological environment within which they are living, higher plants use different combinations of secondary metabolites for adaptation (e.g., defense against attacks by herbivores or pathogenic microbes. This suggests that the similarity in metabolite content is applicable to assess phylogenic similarity of higher plants. However, such a chemical taxonomic approach has limitations of incomplete metabolomics data. We propose an approach for successfully classifying 216 plants based on their known incomplete metabolite content. Structurally similar metabolites have been clustered using the network clustering algorithm DPClus. Plants have been represented as binary vectors, implying relations with structurally similar metabolite groups, and classified using Ward’s method of hierarchical clustering. Despite incomplete data, the resulting plant clusters are consistent with the known evolutional relations of plants. This finding reveals the significance of metabolite content as a taxonomic marker. We also discuss the predictive power of metabolite content in exploring nutritional and medicinal properties in plants. As a byproduct of our analysis, we could predict some currently unknown species-metabolite relations.

  2. A visual detection of protein content based on titration of moving reaction boundary electrophoresis. (United States)

    Wang, Hou-Yu; Guo, Cheng-Ye; Guo, Chen-Gang; Fan, Liu-Yin; Zhang, Lei; Cao, Cheng-Xi


    A visual electrophoretic titration method was firstly developed from the concept of moving reaction boundary (MRB) for protein content analysis. In the developed method, when the voltage was applied, the hydroxide ions in the cathodic vessel moved towards the anode, and neutralized the carboxyl groups of protein immobilized via highly cross-linked polyacrylamide gel (PAG), generating a MRB between the alkali and the immobilized protein. The boundary moving velocity (V(MRB)) was as a function of protein content, and an acid-base indicator was used to denote the boundary displacement. As a proof of concept, standard model proteins and biological samples were chosen for the experiments to study the feasibility of the developed method. The experiments revealed that good linear calibration functions between V(MRB) and protein content (correlation coefficients R>0.98). The experiments further demonstrated the following merits of developed method: (1) weak influence of non-protein nitrogen additives (e.g., melamine) adulterated in protein samples, (2) good agreement with the classic Kjeldahl method (R=0.9945), (3) fast measuring speed in total protein analysis of large samples from the same source, and (4) low limit of detection (0.02-0.15 mg mL(-1) for protein content), good precision (R.S.D. of intra-day less than 1.7% and inter-day less than 2.7%), and high recoveries (105-107%). Crown Copyright © 2013. Published by Elsevier B.V. All rights reserved.

  3. High content screening for G protein-coupled receptors using cell-based protein translocation assays

    DEFF Research Database (Denmark)

    Grånäs, Charlotta; Lundholt, Betina Kerstin; Heydorn, Arne


    G protein-coupled receptors (GPCRs) have been one of the most productive classes of drug targets for several decades, and new technologies for GPCR-based discovery promise to keep this field active for years to come. While molecular screens for GPCR receptor agonist- and antagonist-based drugs...... will continue to be valuable discovery tools, the most exciting developments in the field involve cell-based assays for GPCR function. Some cell-based discovery strategies, such as the use of beta-arrestin as a surrogate marker for GPCR function, have already been reduced to practice, and have been used...... as valuable discovery tools for several years. The application of high content cell-based screening to GPCR discovery has opened up additional possibilities, such as direct tracking of GPCRs, G proteins and other signaling pathway components using intracellular translocation assays. These assays provide...


    Directory of Open Access Journals (Sweden)



    Full Text Available An automated segmentation method which dynamically selects the parenchymal region of interest (ROI based on the patients breast size is proposed from which, statistical features are derived. SVM classifier is used to model the derived features to classify the breast tissue as dense, glandular and fatty. Then K-nn with different distance metrics namely city-block, Euclidean and Chebchev is used to retrieve the first k similar images closest to the given query image. The proposed method was tested with MIAS database and achieves an average precision of 86.15%. The results reveals that the proposed method could be employed for effective content based mammograms retrieval.

  5. A P2P Service Discovery Strategy Based on Content Catalogues

    Directory of Open Access Journals (Sweden)

    Lican Huang


    Full Text Available This paper presents a framework for distributed service discovery based on VIRGO P2P technologies. The services are classified as multi-layer, hierarchical catalogue domains according to their contents. The service providers, which have their own service registries such as UDDIs, register the services they provide and establish a virtual tree in a VIRGO network according to the domain of their service. The service location done by the proposed strategy is effective and guaranteed. This paper also discusses the primary implementation of service discovery based on Tomcat/Axis and jUDDI.

  6. Report on RecSys 2015 Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2015)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn


    This article reports on the CBRecSys 2015 workshop, the second edition of the workshop on new trends in content-based recommender systems, co-located with RecSys 2015 in Vienna, Austria. Content-based recommendation has been applied successfully in many different domains, but it has not seen...... venue for work dedicated to all aspects of content-based recommender systems....... the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated...

  7. Content-based VLE designs improve learning efficiency in constructivist statistics education.

    Directory of Open Access Journals (Sweden)

    Patrick Wessa

    Full Text Available BACKGROUND: We introduced a series of computer-supported workshops in our undergraduate statistics courses, in the hope that it would help students to gain a deeper understanding of statistical concepts. This raised questions about the appropriate design of the Virtual Learning Environment (VLE in which such an approach had to be implemented. Therefore, we investigated two competing software design models for VLEs. In the first system, all learning features were a function of the classical VLE. The second system was designed from the perspective that learning features should be a function of the course's core content (statistical analyses, which required us to develop a specific-purpose Statistical Learning Environment (SLE based on Reproducible Computing and newly developed Peer Review (PR technology. OBJECTIVES: The main research question is whether the second VLE design improved learning efficiency as compared to the standard type of VLE design that is commonly used in education. As a secondary objective we provide empirical evidence about the usefulness of PR as a constructivist learning activity which supports non-rote learning. Finally, this paper illustrates that it is possible to introduce a constructivist learning approach in large student populations, based on adequately designed educational technology, without subsuming educational content to technological convenience. METHODS: Both VLE systems were tested within a two-year quasi-experiment based on a Reliable Nonequivalent Group Design. This approach allowed us to draw valid conclusions about the treatment effect of the changed VLE design, even though the systems were implemented in successive years. The methodological aspects about the experiment's internal validity are explained extensively. RESULTS: The effect of the design change is shown to have substantially increased the efficiency of constructivist, computer-assisted learning activities for all cohorts of the student

  8. Dynamic Contention Window Control Scheme in IEEE 802.11e EDCA-Based Wireless LANs (United States)

    Abeysekera, B. A. Hirantha Sithira; Matsuda, Takahiro; Takine, Tetsuya

    In the IEEE 802.11 MAC protocol, access points (APs) are given the same priority as wireless terminals in terms of acquiring the wireless link, even though they aggregate several downlink flows. This feature leads to a serious throughput degradation of downlink flows, compared with uplink flows. In this paper, we propose a dynamic contention window control scheme for the IEEE 802.11e EDCA-based wireless LANs, in order to achieve fairness between uplink and downlink TCP flows while guaranteeing QoS requirements for real-time traffic. The proposed scheme first determines the minimum contention window size in the best-effort access category at APs, based on the number of TCP flows. It then determines the minimum and maximum contention window sizes in higher priority access categories, such as voice and video, so as to guarantee QoS requirements for these real-time traffic. Note that the proposed scheme does not require any modification to the MAC protocol at wireless terminals. Through simulation experiments, we show the effectiveness of the proposed scheme.

  9. A rapid automatic analyzer and its methodology for effective bentonite content based on image recognition technology

    Directory of Open Access Journals (Sweden)

    Wei Long


    Full Text Available Fast and accurate determination of effective bentonite content in used clay bonded sand is very important for selecting the correct mixing ratio and mixing process to obtain high-performance molding sand. Currently, the effective bentonite content is determined by testing the ethylene blue absorbed in used clay bonded sand, which is usually a manual operation with some disadvantages including complicated process, long testing time and low accuracy. A rapid automatic analyzer of the effective bentonite content in used clay bonded sand was developed based on image recognition technology. The instrument consists of auto stirring, auto liquid removal, auto titration, step-rotation and image acquisition components, and processor. The principle of the image recognition method is first to decompose the color images into three-channel gray images based on the photosensitive degree difference of the light blue and dark blue in the three channels of red, green and blue, then to make the gray values subtraction calculation and gray level transformation of the gray images, and finally, to extract the outer circle light blue halo and the inner circle blue spot and calculate their area ratio. The titration process can be judged to reach the end-point while the area ratio is higher than the setting value.

  10. Social media use by community-based organizations conducting health promotion: a content analysis (United States)


    Background Community-based organizations (CBOs) are critical channels for the delivery of health promotion programs. Much of their influence comes from the relationships they have with community members and other key stakeholders and they may be able to harness the power of social media tools to develop and maintain these relationships. There are limited data describing if and how CBOs are using social media. This study assesses the extent to which CBOs engaged in health promotion use popular social media channels, the types of content typically shared, and the extent to which the interactive aspects of social media tools are utilized. Methods We assessed the social media presence and patterns of usage of CBOs engaged in health promotion in Boston, Lawrence, and Worcester, Massachusetts. We coded content on three popular channels: Facebook, Twitter, and YouTube. We used content analysis techniques to quantitatively summarize posts, tweets, and videos on these channels, respectively. For each organization, we coded all content put forth by the CBO on the three channels in a 30-day window. Two coders were trained and conducted the coding. Data were collected between November 2011 and January 2012. Results A total of 166 organizations were included in our census. We found that 42% of organizations used at least one of the channels of interest. Across the three channels, organization promotion was the most common theme for content (66% of posts, 63% of tweets, and 93% of videos included this content). Most organizations updated Facebook and Twitter content at rates close to recommended frequencies. We found limited interaction/engagement with audience members. Conclusions Much of the use of social media tools appeared to be uni-directional, a flow of information from the organization to the audience. By better leveraging opportunities for interaction and user engagement, these organizations can reap greater benefits from the non-trivial investment required to use

  11. Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback.

    Directory of Open Access Journals (Sweden)

    Kai Hu

    Full Text Available Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automatic geographic information discovery. Overall, the efficiency of the geographic information discovery keeps improving., There are however, still two problems in Web Map Service (WMS discovery that must be solved. Mismatches between the graphic contents of a WMS and the semantic descriptions in the metadata make discovery difficult for human users. End-users and computers comprehend WMSs differently creating semantic gaps in human-computer interactions. To address these problems, we propose an improved query process for WMSs based on the graphic contents of WMS layers, combining Support Vector Machine (SVM and user relevance feedback. Our experiments demonstrate that the proposed method can improve the accuracy and efficiency of WMS discovery.

  12. Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback (United States)

    Cheng, Xiaoqiang; Qi, Kunlun; Zheng, Jie; You, Lan; Wu, Huayi


    Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automatic geographic information discovery. Overall, the efficiency of the geographic information discovery keeps improving., There are however, still two problems in Web Map Service (WMS) discovery that must be solved. Mismatches between the graphic contents of a WMS and the semantic descriptions in the metadata make discovery difficult for human users. End-users and computers comprehend WMSs differently creating semantic gaps in human-computer interactions. To address these problems, we propose an improved query process for WMSs based on the graphic contents of WMS layers, combining Support Vector Machine (SVM) and user relevance feedback. Our experiments demonstrate that the proposed method can improve the accuracy and efficiency of WMS discovery. PMID:27861505

  13. Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback. (United States)

    Hu, Kai; Gui, Zhipeng; Cheng, Xiaoqiang; Qi, Kunlun; Zheng, Jie; You, Lan; Wu, Huayi


    Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automatic geographic information discovery. Overall, the efficiency of the geographic information discovery keeps improving., There are however, still two problems in Web Map Service (WMS) discovery that must be solved. Mismatches between the graphic contents of a WMS and the semantic descriptions in the metadata make discovery difficult for human users. End-users and computers comprehend WMSs differently creating semantic gaps in human-computer interactions. To address these problems, we propose an improved query process for WMSs based on the graphic contents of WMS layers, combining Support Vector Machine (SVM) and user relevance feedback. Our experiments demonstrate that the proposed method can improve the accuracy and efficiency of WMS discovery.

  14. Content based image retrieval using local binary pattern operator and data mining techniques. (United States)

    Vatamanu, Oana Astrid; Frandeş, Mirela; Lungeanu, Diana; Mihalaş, Gheorghe-Ioan


    Content based image retrieval (CBIR) concerns the retrieval of similar images from image databases, using feature vectors extracted from images. These feature vectors globally define the visual content present in an image, defined by e.g., texture, colour, shape, and spatial relations between vectors. Herein, we propose the definition of feature vectors using the Local Binary Pattern (LBP) operator. A study was performed in order to determine the optimum LBP variant for the general definition of image feature vectors. The chosen LBP variant is then subsequently used to build an ultrasound image database, and a database with images obtained from Wireless Capsule Endoscopy. The image indexing process is optimized using data clustering techniques for images belonging to the same class. Finally, the proposed indexing method is compared to the classical indexing technique, which is nowadays widely used.

  15. A Case Study on Content Based Instruction for Primary School Children

    Directory of Open Access Journals (Sweden)

    Helda Alicia Hidalgo Dávila


    Full Text Available Teaching English at the primary school level is a challenge in countries such as Colombia where children study this language for only one hour a week in most institutions, and in the best of cases for 3 hours a week. Most of the public schools do not have enough and/or adequate English materials at their disposal for students to work with; therefore, the task of the English teacher is difficult. A case study with a group of children in public schools was developed at Universidad de Nariño (Pasto, Colombia to test some materials developed by a group of professors who considered CBI (Content-Based Instruction materials as an option to motivate children to learn English and as a tool for language acquisition through the subject matter contents.

  16. Content relatedness in the social web based on social explicit semantic analysis (United States)

    Ntalianis, Klimis; Otterbacher, Jahna; Mastorakis, Nikolaos


    In this paper a novel content relatedness algorithm for social media content is proposed, based on the Explicit Semantic Analysis (ESA) technique. The proposed scheme takes into consideration social interactions. In particular starting from the vector space representation model, similarity is expressed by a summation of term weight products. In this paper, term weights are estimated by a social computing method, where the strength of each term is calculated by the attention the terms receives. For this reason each post is split into two parts, title and comments area, while attention is defined by the number of social interactions such as likes and shares. The overall approach is named Social Explicit Semantic Analysis. Experimental results on real data show the advantages and limitations of the proposed approach, while an initial comparison between ESA and S-ESA is very promising.

  17. Branded webseries. Strategic actions of the advertiser based on corporate online fiction and marketing content

    Directory of Open Access Journals (Sweden)

    Jesús Segarra-Saavedra


    Full Text Available In the past, advertisers and brands have adhered to audiovisual content, film and television, through production sponsorship, product or brand placement and bartering. It´s strategy basically accessible to prominent budgets. But changes in communication and the democratization of creation and distribution of content have opened this tactic to other advertisers whose advertising items try to join brand values to entertainment through branded webseries. We present an exploratory study about the creation, dissemination, promotion, reception and socialization of webseries, brand stories based on fiction and Internet. From methodological triangulation, is dealt the case study of Risi and the three seasons of the webserie ¿Por qué esperar? With depth interviews with the creative, their descriptive analysis, as well as quantitative analysis audience and their interactions. The comparative results describe the use of creativity, famous characters related to the target and the effect generated by this type of stories that generate engagement.

  18. Audio-based Age and Gender Identification to Enhance the Recommendation of TV Content

    DEFF Research Database (Denmark)

    Shepstone, Sven Ewan; Tan, Zheng-Hua; Jensen, Søren Holdt


    Recommending TV content to groups of viewers is best carried out when relevant information such as the demographics of the group is available. However, it can be difficult and time consuming to extract information for every user in the group. This paper shows how an audio analysis of the age...... and gender of a group of users watching the TV can be used for recommending a sequence of N short TV content items for the group. First, a state of the art audio-based classifier determines the age and gender of each user in an M-user group and creates a group profile. A genetic recommender algorithm...... of state-of-the-art age-and-gender detection systems, the proposed system has a significant ability to predict an item with a matching age and gender category. User studies were conducted where subjects were asked to rate a sequence of advertisements, where half of the advertisements were randomly selected...

  19. A candidate gene-based association study of tocopherol content and composition in rapeseed (Brassica napus

    Directory of Open Access Journals (Sweden)

    Steffi eFritsche


    Full Text Available Rapeseed (Brassica napus L. is the most important oil crop of temperate climates. Rapeseed oil contains tocopherols, also known as vitamin E, which is an indispensable nutrient for humans and animals due to its antioxidant and radical scavenging abilities. Moreover, tocopherols are also important for the oxidative stability of vegetable oils. Therefore, seed oil with increased tocopherol content or altered tocopherol composition is a target for breeding. We investigated the role of nucleotide variations within candidate genes from the tocopherol biosynthesis pathway. Field trials were carried out with 229 accessions from a worldwide B. napus collection which was divided into two panels of 96 and 133 accessions. Seed tocopherol content and composition were measured by HPLC. High heritabilities were found for both traits, ranging from 0.62 to 0.94. We identified polymorphisms by sequencing selected regions of the tocopherol genes from the 96 accession panel. Subsequently, we determined the population structure (Q and relative kinship (K as detected by genotyping with genome-wide distributed SSR markers. Association studies were performed using two models, the structure-based GLM+Q and the PK mixed model. Between 26 and 12 polymorphisms within two genes (BnaX.VTE3.a, BnaA.PDS1.c were significantly associated with tocopherol traits. The SNPs explained up to 16.93 % of the genetic variance for tocopherol composition and up to 10.48 % for total tocopherol content. Based on the sequence information we designed CAPS markers for genotyping the 133 accessions from the 2nd panel. Significant associations with various tocopherol traits confirmed the results from the first experiment. We demonstrate that the polymorphisms within the tocopherol genes clearly impact tocopherol content and composition in B. napus seeds. We suggest that these nucleotide variations may be used as selectable markers for breeding rapeseed with enhanced tocopherol quality.

  20. Channel Allocation Based on Content Characteristics for Video Transmission in Time-Domain-Based Multichannel Cognitive Radio Networks

    Directory of Open Access Journals (Sweden)

    Md. Jalil Piran


    Full Text Available This paper proposes a method for channel allocation based on video content requirements and the quality of the available channels in cognitive radio networks (CRNs. Our objective is to save network bandwidth and achieve high-quality video delivery. In this method, the content is divided into clusters based on scene complexity and PSNR. To allocate channel to the clusters over multichannel CRNs, we first need to identify the licensee’s activity and then maximize the opportunistic usage accordingly. Therefore, we classify short and long time transmission opportunities based on the licensee’s activities using a Bayesian nonparametric inference model. Furthermore, to prevent transmission interruption, we consider the underlay mode for transmission of the clusters with a lower bitrate. Next, we map the available spectrum opportunities to the content clusters according to both the quality of the channels and the requirements of the clusters. Then, a distortion optimization model is constructed according to the network transmission mechanism. Finally, to maximize the average quality of the delivered video, an optimization problem is defined to determine the best bitrate for each cluster by maximizing the sum of the logarithms of the frame rates. Our extensive simulation results prove the superior performance of the proposed method in terms of spectrum efficiency and the quality of delivered video.

  1. A comparison of literature-based and content-based guided reading materials on elementary student reading and science achievement (United States)

    Guns, Christine

    Guided reading, as developed by Fountas and Pinnell (2001), has been a staple of elementary reading programs for the past decade. Teachers in the elementary school setting utilize this small group, tailored instruction in order to differentiate and meet the instructional needs of the students. The literature shows academic benefit for students who have special needs, such as learning disabilities, autism, and hearing impairments but consideration of academic impact has not been investigated for regular education students. The purpose of this quasi-experimental study was to investigate the academic impact of the use of content-related (Group C) and the traditional literature-based (Group L) reading materials. During the Living Systems and Life Processes unit in science, two teachers self-selected to utilized science-related materials for guided reading instruction while the other three teacher participants utilized their normal literature-based guided reading materials. The two groups were compared using an ANCOVA in this pre-test/post-test design. The dependent variables included the Reading for Application and Instruction assessment (RAI) and a Living Systems and Life Processes assessment (LSA). Further analysis compared students of different reading levels and gender. The data analyses revealed a practical but not statistical significance for students in science performance. It was discovered that below level male and female students performed better on the LSA when provided with content-related guided reading materials. As far as reading achievement is concerned, students in both groups had comparable results. The teachers provided guided reading instruction to their students with fidelity and made adjustments to their practices due to the needs of their students. The content-related teachers utilized a larger number of expository texts than the literature-based teachers. These teachers expressed the desire to continue the practice of providing the students with

  2. Determination of Apparent Amylose Content in Rice by Using Paper-Based Microfluidic Chips. (United States)

    Hu, Xianqiao; Lu, Lin; Fang, Changyun; Duan, Binwu; Zhu, Zhiwei


    Determination of apparent amylose content in rice is a key function for rice research and the rice industry. In this paper, a novel approach with paper-based microfluidic chip is reported to determine apparent amylose content in rice. The conventional color reaction between amylose and iodine was employed. Blue color of amylose-iodine complex generated on-chip was converted to gray and measured with Photoshop after the colored chip was scanned. The method for preparation of the paper chip is described. In situ generation of iodine for on-chip color reaction was designed, and factors influencing color reaction were investigated in detail. Elimination of yellow color interference of excess iodine by exploiting color removal function of Photoshop was presented. Under the optimized conditions, apparent amylose content in rice ranging from 1.5 to 26.4% can be determined, and precision was 6.3%. The analytical results obtained with the developed approach were in good agreement with those with the continuous flow analyzer method.

  3. Mutual Perception of USA and China based on Content-Analysis of Media

    Directory of Open Access Journals (Sweden)

    Farida Halmuratovna Autova


    Full Text Available The article evaluates mutual perception of the United States and China in the XXI century, based on content analysis of American and Chinese media. The research methodology includes both content and event analysis. To conduct content analysis we used leading weekly news magazines of US and China - “Newsweek” and “Beijing Review”. The events, limiting the time frame of analysis are Barack Obama's re-election to the second term in 2012, and the entry of Xi Jinping as the chairman of China in 2013. As a result, we have analyzed the issues of each magazine one year before and after the events respectively. Thematic areas covered by articles (politics, economy, culture, as well as stylistic coloring titles of articles are examined. Following the results of the analysis China confidently perceives itself in the international arena. In turn, the US are committed by emphasizing speed and power of the Chinese point out the negative consequences of such a jump (“growing pains”, on the challenges facing China in domestic and foreign policy, in order to create a negative image of China in the minds of American citizens.

  4. HealthRecSys: A semantic content-based recommender system to complement health videos. (United States)

    Sanchez Bocanegra, Carlos Luis; Sevillano Ramos, Jose Luis; Rizo, Carlos; Civit, Anton; Fernandez-Luque, Luis


    The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, every minute and that, by 2019, video formats will comprise more than 80% of Internet traffic. Health-related videos are very popular on YouTube, but their quality is always a matter of concern. One approach to enhancing the quality of online videos is to provide additional educational health content, such as websites, to support health consumers. This study investigates the feasibility of building a content-based recommender system that links health consumers to reputable health educational websites from MedlinePlus for a given health video from YouTube. The dataset for this study includes a collection of health-related videos and their available metadata. Semantic technologies (such as SNOMED-CT and Bio-ontology) were used to recommend health websites from MedlinePlus. A total of 26 healths professionals participated in evaluating 253 recommended links for a total of 53 videos about general health, hypertension, or diabetes. The relevance of the recommended health websites from MedlinePlus to the videos was measured using information retrieval metrics such as the normalized discounted cumulative gain and precision at K. The majority of websites recommended by our system for health videos were relevant, based on ratings by health professionals. The normalized discounted cumulative gain was between 46% and 90% for the different topics. Our study demonstrates the feasibility of using a semantic content-based recommender system to enrich YouTube health videos. Evaluation with end-users, in addition to healthcare professionals, will be required to identify the acceptance of these recommendations in a nonsimulated information-seeking context.

  5. Evaluation of shape indexing methods for content-based retrieval of x-ray images (United States)

    Antani, Sameer; Long, L. Rodney; Thoma, George R.; Lee, Dah-Jye


    Efficient content-based image retrieval of biomedical images is a challenging problem of growing research interest. Feature representation algorithms used in indexing medical images on the pathology of interest have to address conflicting goals of reducing feature dimensionality while retaining important and often subtle biomedical features. At the Lister Hill National Center for Biomedical Communications, a R&D division of the National Library of Medicine, we are developing a content-based image retrieval system for digitized images of a collection of 17,000 cervical and lumbar x-rays taken as a part of the second National Health and Nutrition Examination Survey (NHANES II). Shape is the only feature that effectively describes various pathologies identified by medical experts as being consistently and reliably found in the image collection. In order to determine if the state of the art in shape representation methods is suitable for this application, we have evaluated representative algorithms selected from the literature. The algorithms were tested on a subset of 250 vertebral shapes. In this paper we present the requirements of an ideal algorithm, define the evaluation criteria, and present the results and our analysis of the evaluation. We observe that while the shape methods perform well on visual inspection of the overall shape boundaries, they fall short in meeting the needs of determining similarity between the vertebral shapes based on the pathology.

  6. Generic and optimized framework for multi-content analysis based on learning approaches (United States)

    Besnehard, Quentin; Marchessoux, Cédric; Kimpe, Tom


    During the European Cantata project (ITEA project, 2006-2009), a Multi-Content Analysis framework for the classification of compound images in various categories (text, graphical user interface, medical images, other complex images) was developed within Barco. The framework consists of six parts: a dataset, a feature selection method, a machine learning based Multi-Content Analysis (MCA) algorithm, a Ground Truth, an evaluation module based on metrics and a presentation module. This methodology was built on a cascade of decision tree-based classifiers combined and trained with the AdaBoost meta-algorithm. In order to be able to train these classifiers on large training datasets without excessively increasing the training time, various optimizations were implemented. These optimizations were performed at two levels: the methodology itself (feature selection / elimination, dataset pre-computation) and the decision-tree training algorithm (binary threshold search, dataset presorting and alternate splitting algorithm). These optimizations have little or no negative impact on the classification performance of the resulting classifiers. As a result, the training time of the classifiers was significantly reduced, mainly because the optimized decision-tree training algorithm has a lower algorithmic complexity. The time saved through this optimized methodology was used to compare the results of a greater number of different training parameters.

  7. Coherence and content of conflict-based narratives: associations to family risk and maladjustment. (United States)

    Müller, Eva; Perren, Sonja; Wustmann Seiler, Corina


    This study examined the role of structural and content characteristics of children's conflict-based narratives (coherence, positive and aggressive themes) in the association between early childhood family risk and children's internalizing and externalizing problems in a sample of 193 children (97 girls, 96 boys) aged 3 to 5 years (M = 3.85, SD = .48). Parents participated in an interview on family related risk factors; teachers and parents completed the Strengths and Difficulties Questionnaire; children completed conflict-based narratives based on the MacArthur Story Stem Battery (MSSB). We specifically investigated the mediating and moderating role of narrative coherence and content themes in the association between family risk and children's internalizing and externalizing problems. Children's narrative coherence was associated with better adjustment, and had a buffering effect on the negative relation between family risk on children's internalizing problems. Positive themes were negatively associated with externalizing problems. Telling narratives with many positive and negative themes buffered the negative association of family risk and teacher-reported externalizing problems. In sum, the findings suggest that in children, being able to tell coherent and enriched narratives may buffer the impact of family risk on their symptoms, and being able to produce positive themes rather than aggressive themes is associated with lower externalizing problems. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  8. Use of a JPEG-2000 Wavelet Compression Scheme for Content-Based Ophtalmologic Retinal Images Retrieval. (United States)

    Lamard, Mathieu; Daccache, Wissam; Cazuguel, Guy; Roux, Christian; Cochener, Beatrice


    In this paper we propose a content based image retrieval method for diagnosis aid in diabetic retinopathy. We characterize images without extracting significant features, and use histograms obtained from the compressed images in JPEG-2000 wavelet scheme to build signatures. The research is carried out by calculating signature distances between the query and database images. A weighted distance between histograms is used. Retrieval efficiency is given for different standard types of JPEG-2000 wavelets, and for different values of histogram weights. A classified diabetic retinopathy image database is built allowing algorithms tests. On this image database, results are promising: the retrieval efficiency is higher than 70% for some lesion types.

  9. Adapting content-based image retrieval techniques for the semantic annotation of medical images. (United States)

    Kumar, Ashnil; Dyer, Shane; Kim, Jinman; Li, Changyang; Leong, Philip H W; Fulham, Michael; Feng, Dagan


    The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications in the automatic generation of structured radiology reports. Much of the prior research work has focused on annotating images with properties such as the modality of the image, or the biological system or body region being imaged. However, many challenges remain for the annotation of high-level semantic content in medical images (e.g., presence of calcification, vessel obstruction, etc.) due to the difficulty in discovering relationships and associations between low-level image features and high-level semantic concepts. This difficulty is further compounded by the lack of labelled training data. In this paper, we present a method for the automatic semantic annotation of medical images that leverages techniques from content-based image retrieval (CBIR). CBIR is a well-established image search technology that uses quantifiable low-level image features to represent the high-level semantic content depicted in those images. Our method extends CBIR techniques to identify or retrieve a collection of labelled images that have similar low-level features and then uses this collection to determine the best high-level semantic annotations. We demonstrate our annotation method using retrieval via weighted nearest-neighbour retrieval and multi-class classification to show that our approach is viable regardless of the underlying retrieval strategy. We experimentally compared our method with several well-established baseline techniques (classification and regression) and showed that our method achieved the highest accuracy in the annotation of liver computed tomography (CT) images. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. An in-situ electropolymerization based sensor for measuring salt content in crude oil. (United States)

    Aleisa, Rashed M; Akmal, Naim


    Determining salt content is a vital procedure in the petroleum industry during the process of crude oil transportation, refining and production. Monitoring the salinity value using a fast and direct technique can substantially lower the cost of crude oil in its processing and its production stages. In the present work, a novel analytical method was developed to detect the amount of salt present in crude oil in a quick and reliable manner. The measurement is based on the rate of in-situ electropolymerization of a monomer such as aniline in association with the salt content in the crude oil. The salt dispersed in the hydrocarbon matrix is used as an electrolyte in the electrolytic system to induce an electropolymerization reaction upon the induction of voltages, in which the salt content is measured corresponding to the polymeric film formation on the working electrode surface. Acetonitrile and N-methylpyrrolidone (NMP) were used in the electrochemical cell as solvents, and cyclic voltammetry tests were performed for Arabian crude oil solutions in the presence of aniline. The method has shown an excellent detection response for very low concentrations of salt. Four Arabian crude oils with salt concentrations of 34.2, 28.5, 14.3 and 5.71 mg L(-1) have produced current intensity of 180.1, 172.6, 148.1 and 134.2 µA at an applied current potential of 1.75 V (vs. Ag/AgCl), respectively. A Calibration curve was obtained in the range of 5-35 mg L(-1), giving limits of detection and quantitation at 1.98 and 5.95 mg L(-1), respectively. The in-situ electropolymerization based sensor has significant advantages over the existing techniques of salt monitoring in crude oil such as fast response, temperature independency, electrode stability, and minimum sample preparation. Copyright © 2014 Elsevier B.V. All rights reserved.

  11. Fundus Image Features Extraction for Exudate Mining in Coordination with Content Based Image Retrieval: A Study (United States)

    Gururaj, C.; Jayadevappa, D.; Tunga, Satish


    Medical field has seen a phenomenal improvement over the previous years. The invention of computers with appropriate increase in the processing and internet speed has changed the face of the medical technology. However there is still scope for improvement of the technologies in use today. One of the many such technologies of medical aid is the detection of afflictions of the eye. Although a repertoire of research has been accomplished in this field, most of them fail to address how to take the detection forward to a stage where it will be beneficial to the society at large. An automated system that can predict the current medical condition of a patient after taking the fundus image of his eye is yet to see the light of the day. Such a system is explored in this paper by summarizing a number of techniques for fundus image features extraction, predominantly hard exudate mining, coupled with Content Based Image Retrieval to develop an automation tool. The knowledge of the same would bring about worthy changes in the domain of exudates extraction of the eye. This is essential in cases where the patients may not have access to the best of technologies. This paper attempts at a comprehensive summary of the techniques for Content Based Image Retrieval (CBIR) or fundus features image extraction, and few choice methods of both, and an exploration which aims to find ways to combine these two attractive features, and combine them so that it is beneficial to all.

  12. [Does WIKIPEDIA provide evidence-based health care information? A content analysis]. (United States)

    Mühlhauser, Ingrid; Oser, Friederike


    Patients and consumers are increasingly searching the Internet for medical and healthcare information. Using the criteria of evidence-based medicine the present study analyses the websites of Wikipedia and two major German statutory health insurances for content and presentation of patient information. 22 senior students of health sciences and education evaluated one topic each. In a first step, they identified the evidence for their specific question. Afterwards they used their results as reference for the evaluation of the three websites. Using a check list each student and a second researcher independently rated content and presentation of the information offered. All these websites failed to meet relevant criteria, and key information such as the presentation of probabilities of success on patient-relevant outcomes, probabilities of unwanted effects, and unbiased risk communication was missing. On average items related to the objectives of interventions, the natural course of disease and treatment options were only rated as "partially fulfilled". Overall, there were only minor differences between the three providers, except for items related to the specific nature of the websites such as disclosure of authorship, conflict of interest and support offers. In addition, the Wikipedia information tended to achieve lower comprehensibility. In conclusion, the quality of the healthcare information provided by Wikipedia and two major German statutory health insurances is comparable. They do not meet important criteria of evidence-based patient and consumer information though.

  13. Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces. (United States)

    Sridhar, Akshay; Doyle, Scott; Madabhushi, Anant


    Content-based image retrieval (CBIR) systems allow for retrieval of images from within a database that are similar in visual content to a query image. This is useful for digital pathology, where text-based descriptors alone might be inadequate to accurately describe image content. By representing images via a set of quantitative image descriptors, the similarity between a query image with respect to archived, annotated images in a database can be computed and the most similar images retrieved. Recently, non-linear dimensionality reduction methods have become popular for embedding high-dimensional data into a reduced-dimensional space while preserving local object adjacencies, thereby allowing for object similarity to be determined more accurately in the reduced-dimensional space. However, most dimensionality reduction methods implicitly assume, in computing the reduced-dimensional representation, that all features are equally important. In this paper we present boosted spectral embedding(BoSE), which utilizes a boosted distance metric to selectively weight individual features (based on training data) to subsequently map the data into a reduced-dimensional space. BoSE is evaluated against spectral embedding (SE) (which employs equal feature weighting) in the context of CBIR of digitized prostate and breast cancer histopathology images. The following datasets, which were comprised of a total of 154 hematoxylin and eosin stained histopathology images, were used: (1) Prostate cancer histopathology (benign vs. malignant), (2) estrogen receptor (ER) + breast cancer histopathology (low vs. high grade), and (3) HER2+ breast cancer histopathology (low vs. high levels of lymphocytic infiltration). We plotted and calculated the area under precision-recall curves (AUPRC) and calculated classification accuracy using the Random Forest classifier. BoSE outperformed SE both in terms of CBIR-based (area under the precision-recall curve) and classifier-based (classification accuracy

  14. Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces

    Directory of Open Access Journals (Sweden)

    Akshay Sridhar


    Full Text Available Context : Content-based image retrieval (CBIR systems allow for retrieval of images from within a database that are similar in visual content to a query image. This is useful for digital pathology, where text-based descriptors alone might be inadequate to accurately describe image content. By representing images via a set of quantitative image descriptors, the similarity between a query image with respect to archived, annotated images in a database can be computed and the most similar images retrieved. Recently, non-linear dimensionality reduction methods have become popular for embedding high-dimensional data into a reduced-dimensional space while preserving local object adjacencies, thereby allowing for object similarity to be determined more accurately in the reduced-dimensional space. However, most dimensionality reduction methods implicitly assume, in computing the reduced-dimensional representation, that all features are equally important. Aims : In this paper we present boosted spectral embedding (BoSE, which utilizes a boosted distance metric to selectively weight individual features (based on training data to subsequently map the data into a reduced-dimensional space. Settings and Design : BoSE is evaluated against spectral embedding (SE (which employs equal feature weighting in the context of CBIR of digitized prostate and breast cancer histopathology images. Materials and Methods : The following datasets, which were comprised of a total of 154 hematoxylin and eosin stained histopathology images, were used: (1 Prostate cancer histopathology (benign vs. malignant, (2 estrogen receptor (ER + breast cancer histopathology (low vs. high grade, and (3 HER2+ breast cancer histopathology (low vs. high levels of lymphocytic infiltration. Statistical Analysis Used : We plotted and calculated the area under precision-recall curves (AUPRC and calculated classification accuracy using the Random Forest classifier. Results : BoSE outperformed SE both

  15. Report on RecSys 2014 Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2014)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Cantádor, Ivan


    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either in...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2014 workshop aimed to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommender systems.......While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...

  16. On providing the fault-tolerant operation of information systems based on open content management systems (United States)

    Kratov, Sergey


    Modern information systems designed to service a wide range of users, regardless of their subject area, are increasingly based on Web technologies and are available to users via Internet. The article discusses the issues of providing the fault-tolerant operation of such information systems, based on free and open source content management systems. The toolkit available to administrators of similar systems is shown; the scenarios for using these tools are described. Options for organizing backups and restoring the operability of systems after failures are suggested. Application of the proposed methods and approaches allows providing continuous monitoring of the state of systems, timely response to the emergence of possible problems and their prompt solution.

  17. Colloidal processing of Fe-based metal ceramic composites with high content of ceramic reinforcement

    Energy Technology Data Exchange (ETDEWEB)

    Escribano, J. A.; Ferrari, B.; Alvaredo, P.; Gordo, E.; Sanchez-Herencia, A. J.


    Major difficulties of processing metal-matrix composites by means of conventional powder metallurgy techniques are the lack of dispersion of the phases within the final microstructure. In this work, processing through colloidal techniques of the Fe-based metal-matrix composites, with a high content of a ceramic reinforcement (Ti(C,N) ), is presented for the first time in the literature. The colloidal approach allows a higher control of the powders packing and a better homogenization of phases since powders are mixed in a liquid medium. The chemical stability of Fe in aqueous medium determines the dispersion conditions of the mixture. The Fe slurries were formulated by optimising their zeta potential and their rheology, in order to shape bulk pieces by slip-casting. Preliminary results demonstrate the viability of this procedure, also opening new paths to the microstructural design of fully sintered Fe-based hard metal, with 50 vol. % of Ti(C,N) in its composition. (Author)

  18. Teaching "Cross-Cultural Communication" through Content Based Instruction: Curriculum Design and Learning Outcome from EFL Learners' Perspectives (United States)

    Tseng, Chia-Ti Heather


    This study aims to investigate EFL learners' perspectives for the effectiveness of content-based instruction in a cross-cultural communication course. The main objectives of this study are three-folds: (1) to examine students' perspectives regarding the effectiveness of content learning; (2) to examine students' perspectives regarding the…

  19. Language-Building Activities and Interaction Variations with Mixed-Ability ESL University Learners in a Content-Based Course (United States)

    Serna Dimas, Héctor Manuel; Ruíz Castellanos, Erika


    The preparation of both language-building activities and a variety of teacher/student interaction patterns increase both oral language participation and content learning in a course of manual therapy with mixed-language ability students. In this article, the researchers describe their collaboration in a content-based course in English with English…

  20. Textbooks Content Analysis of Social Studies and Natural Sciences of Secondary School Based on Emotional Intelligence Components (United States)

    Babaei, Bahare; Abdi, Ali


    The aim of this study is to analyze the content of social studies and natural sciences textbooks of the secondary school on the basis of the emotional intelligence components. In order to determine and inspect the emotional intelligence components all of the textbooks content (including texts, exercises, and illustrations) was examined based on…

  1. PELICAN: Content Evaluation of Patient-Centered Care for Children With Asthma Based on an Online Tool

    NARCIS (Netherlands)

    Bragt, S. van; Bemt, L. van den; Cretier, R.; Weel, C. van; Merkus, P.; Schermer, T.


    Background: We assessed the content of an intervention which integrates individual goals in outpatient clinic asthma management (based on self management principles) of children 6–12 years of age. Methods: This is a content evaluation study and was part of a randomized controlled multicenter trial

  2. The Subject of Mentoring: Towards a Knowledge and Practice Base for Content-Focused Mentoring of New Teachers (United States)

    Achinstein, Betty; Davis, Emily


    While new teacher mentoring has traditionally focused on socio-emotional support and professional socialization, understanding mentors' role in developing novices' content teaching is needed given new educational reforms. Few researchers have explored a knowledge/practice base for content-focused mentoring. Therefore, we ask: what do content…

  3. Use of Content Based Instruction and Socratic Discussion for ESL Undergraduate Biomedical Science Students to Develop Critical Thinking Skills (United States)

    Burder, Ronan L.; Tangalaki, Kathy; Hryciw, Deanne H.


    Content based language instruction can assist English as a second language (ESL) students to achieve better learning and teaching outcomes, however, it is primarily used to understand content, and may not help to develop critical analysis skills. Here we describe a pilot study that used a "Socratic" small-group discussion in addition to…

  4. Prevalence of Behavior Changing Strategies in Fitness Video Games: Theory-Based Content Analysis (United States)

    Hatkevich, Claire


    Background Fitness video games are popular, but little is known about their content. Because many contain interactive tools that mimic behavioral strategies from weight loss intervention programs, it is possible that differences in content could affect player physical activity and/or weight outcomes. There is a need for a better understanding of what behavioral strategies are currently available in fitness games and how they are implemented. Objective The purpose of this study was to investigate the prevalence of evidence-based behavioral strategies across fitness video games available for home use. Games available for consoles that used camera-based controllers were also contrasted with games available for a console that used handheld motion controllers. Methods Fitness games (N=18) available for three home consoles were systematically identified and play-tested by 2 trained coders for at least 3 hours each. In cases of multiple games from one series, only the most recently released game was included. The Sony PlayStation 3 and Microsoft Xbox360 were the two camera-based consoles, and the Nintendo Wii was the handheld motion controller console. A coding list based on a taxonomy of behavioral strategies was used to begin coding. Codes were refined in an iterative process based on data found during play-testing. Results The most prevalent behavioral strategies were modeling (17/18), specific performance feedback (17/18), reinforcement (16/18), caloric expenditure feedback (15/18), and guided practice (15/18). All games included some kind of feedback on performance accuracy, exercise frequency, and/or fitness progress. Action planning (scheduling future workouts) was the least prevalent of the included strategies (4/18). Twelve games included some kind of social integration, with nine of them providing options for real-time multiplayer sessions. Only two games did not feature any kind of reward. Games for the camera-based consoles (mean 12.89, SD 2.71) included a

  5. Prevalence of behavior changing strategies in fitness video games: theory-based content analysis. (United States)

    Lyons, Elizabeth Jane; Hatkevich, Claire


    Fitness video games are popular, but little is known about their content. Because many contain interactive tools that mimic behavioral strategies from weight loss intervention programs, it is possible that differences in content could affect player physical activity and/or weight outcomes. There is a need for a better understanding of what behavioral strategies are currently available in fitness games and how they are implemented. The purpose of this study was to investigate the prevalence of evidence-based behavioral strategies across fitness video games available for home use. Games available for consoles that used camera-based controllers were also contrasted with games available for a console that used handheld motion controllers. Fitness games (N=18) available for three home consoles were systematically identified and play-tested by 2 trained coders for at least 3 hours each. In cases of multiple games from one series, only the most recently released game was included. The Sony PlayStation 3 and Microsoft Xbox360 were the two camera-based consoles, and the Nintendo Wii was the handheld motion controller console. A coding list based on a taxonomy of behavioral strategies was used to begin coding. Codes were refined in an iterative process based on data found during play-testing. The most prevalent behavioral strategies were modeling (17/18), specific performance feedback (17/18), reinforcement (16/18), caloric expenditure feedback (15/18), and guided practice (15/18). All games included some kind of feedback on performance accuracy, exercise frequency, and/or fitness progress. Action planning (scheduling future workouts) was the least prevalent of the included strategies (4/18). Twelve games included some kind of social integration, with nine of them providing options for real-time multiplayer sessions. Only two games did not feature any kind of reward. Games for the camera-based consoles (mean 12.89, SD 2.71) included a greater number of strategies than those

  6. Adaptive nonseparable wavelet transform via lifting and its application to content-based image retrieval. (United States)

    Quellec, Gwénolé; Lamard, Mathieu; Cazuguel, Guy; Cochener, Béatrice; Roux, Christian


    We present in this paper a novel way to adapt a multidimensional wavelet filter bank, based on the nonseparable lifting scheme framework, to any specific problem. It allows the design of filter banks with a desired number of degrees of freedom, while controlling the number of vanishing moments of the primal wavelet ((~)N moments) and of the dual wavelet ( N moments). The prediction and update filters, in the lifting scheme based filter banks, are defined as Neville filters of order (~)N and N, respectively. However, in order to introduce some degrees of freedom in the design, these filters are not defined as the simplest Neville filters. The proposed method is convenient: the same algorithm is used whatever the dimensionality of the signal, and whatever the lattice used. The method is applied to content-based image retrieval (CBIR): an image signature is derived from this new adaptive nonseparable wavelet transform. The method is evaluated on four image databases and compared to a similar CBIR system, based on an adaptive separable wavelet transform. The mean precision at five of the nonseparable wavelet based system is notably higher on three out of the four databases, and comparable on the other one. The proposed method also compares favorably with the dual-tree complex wavelet transform, an overcomplete nonseparable wavelet transform.

  7. [Research on Resistant Starch Content of Rice Grain Based on NIR Spectroscopy Model]. (United States)

    Luo, Xi; Wu, Fang-xi; Xie, Hong-guang; Zhu, Yong-sheng; Zhang, Jian-fu; Xie, Hua-an


    A new method based on near-infrared reflectance spectroscopy (NIRS) analysis was explored to determine the content of rice-resistant starch instead of common chemical method which took long time was high-cost. First of all, we collected 62 spectral data which have big differences in terms of resistant starch content of rice, and then the spectral data and detected chemical values are imported chemometrics software. After that a near-infrared spectroscopy calibration model for rice-resistant starch content was constructed with partial least squares (PLS) method. Results are as follows: In respect of internal cross validation, the coefficient of determination (R2) of untreated, pretreatment with MSC+1thD, pretreatment with 1thD+SNV were 0.920 2, 0.967 0 and 0.976 7 respectively. Root mean square error of prediction (RMSEP) were 1.533 7, 1.011 2 and 0.837 1 respectively. In respect of external validation, the coefficient of determination (R2) of untreated, pretreatment with MSC+ 1thD, pretreatment with 1thD+SNV were 0.805, 0.976 and 0.992 respectively. The average absolute error was 1.456, 0.818, 0.515 respectively. There was no significant difference between chemical and predicted values (Turkey multiple comparison), so we think near infrared spectrum analysis is more feasible than chemical measurement. Among the different pretreatment, the first derivation and standard normal variate (1thD+SNV) have higher coefficient of determination (R2) and lower error value whether in internal validation and external validation. In other words, the calibration model has higher precision and less error by pretreatment with 1thD+SNV.

  8. Improving performance of content based image retrieval system with color features

    Directory of Open Access Journals (Sweden)

    Aleš Hladnik


    Full Text Available Content based image retrieval (CBIR encompasses a variety of techniques with a goal to solve the problem of searching for digital images in a large database by their visual content. Applications where the retrieval of similar images plays a crucial role include personal photo and art collections, medical imaging, multimedia publications and video surveillance. Main objective of our study was to try to improve the performance of the query-by-example image retrieval system based on texture features – Gabor wavelet and wavelet transform – by augmenting it with color information about the images, in particular color histogram, color autocorrelogram and color moments. Wang image database comprising 1000 natural color images grouped into 10 categories with 100 images was used for testing individual algorithms. Each image in the database served as a query image and the retrieval performance was evaluated by means of the precision and recall. e number of retrieved images ranged from 10 to 80. e best CBIR performance was obtained when implementing a combination of all 190 texture- and color features. Only slightly worse were the average precision and recall for the texture- and color histogram-based system. is result was somewhat surprising, since color histogram features provide no color spatial informa- tion. We observed a 23% increase in average precision when comparing the system containing a combination of texture- and all color features with the one consisting of exclusively texture descriptors when using Euclidean distance measure and 20 retrieved images. Addition of the color autocorrelogram features to the texture de- scriptors had virtually no e ect on the performance, while only minor improvement was detected when adding rst two color moments – the mean and the standard deviation. Similar to what was found in the previous studies with the same image database, average precision was very high in case of dinosaurs and owers and very low

  9. Parallel content-based sub-image retrieval using hierarchical searching. (United States)

    Yang, Lin; Qi, Xin; Xing, Fuyong; Kurc, Tahsin; Saltz, Joel; Foran, David J


    The capacity to systematically search through large image collections and ensembles and detect regions exhibiting similar morphological characteristics is central to pathology diagnosis. Unfortunately, the primary methods used to search digitized, whole-slide histopathology specimens are slow and prone to inter- and intra-observer variability. The central objective of this research was to design, develop, and evaluate a content-based image retrieval system to assist doctors for quick and reliable content-based comparative search of similar prostate image patches. Given a representative image patch (sub-image), the algorithm will return a ranked ensemble of image patches throughout the entire whole-slide histology section which exhibits the most similar morphologic characteristics. This is accomplished by first performing hierarchical searching based on a newly developed hierarchical annular histogram (HAH). The set of candidates is then further refined in the second stage of processing by computing a color histogram from eight equally divided segments within each square annular bin defined in the original HAH. A demand-driven master-worker parallelization approach is employed to speed up the searching procedure. Using this strategy, the query patch is broadcasted to all worker processes. Each worker process is dynamically assigned an image by the master process to search for and return a ranked list of similar patches in the image. The algorithm was tested using digitized hematoxylin and eosin (H&E) stained prostate cancer specimens. We have achieved an excellent image retrieval performance. The recall rate within the first 40 rank retrieved image patches is ∼90%. Both the testing data and source code can be downloaded from

  10. Effect of Cr contents on the diffusion behavior of Te in Ni-based alloy (United States)

    Jia, Yanyan; Li, Zhefu; Ye, Xiangxi; Liu, Renduo; Leng, Bin; Qiu, Jie; Liu, Min; Li, Zhijun


    The embrittlement of Ni-based structural alloys caused by fission production Te is one of the major challenges for molten salt reactors. It has been reported that solution element Cr can prevent the situation of intergranular cracks caused by Te. However, there is no detailed mechanism explanation on this phenomenon. In this study, the effect of Cr on Te diffusion in Ni-Cr binary system was investigated by diffusion experiments at 800 °C for 100 h. Results show that Te reacts with the alloy mainly forming Ni3Te2, and strip shaped Cr3Te4 is only found on the surface of Ni-15%Cr alloy. According to the discussion of thermodynamic chemical reaction process, Cr3Te4 exhibits the best stability and preferential formation compound in Te/Ni-Cr system as its Gibbs free energy of formation is the lowest. With the increase of Cr content in the alloy, the diffusion depth of Te along grain boundaries significantly decreases. Moreover, the formation process of reaction product and diffusion process are described. The diffusion of Te can be suppressed by high content of Cr in Ni-Cr alloy due to the formation of Cr3Te4 and thus the grain boundary is protected from Te corroding.

  11. RFID and sensor-based container content visibility and seaport security monitoring system (United States)

    Chen, Thomas C.


    In the year 2002, approximately 8 million maritime containers and 56,596 vessels entered the U.S. at more than 3,700 terminals and 301 ports of entry. Only 2% of these containers were inspected through x-ray equipment. More expensive radiation-detection equipments will be deployed to major U.S. seaports for use. Both x-ray and radiation-detection equipments conduct its inspection from the outside of a container, and cannot identify individual items inside. It also lacks the capability of item tracking and traceability along the shipping chain. A need exists for a system that can inspect containers without opening them on a mass scale at seaports. This paper describes a RFID and sensor based Container Content Visibility and Seaport Security Monitoring System under development that can fulfill this need. The System integrates the latest technologies in the fields of RFID, sensor, door tamper-proof device, and Wi-Fi communications to allow container contents to be identified and inspected automatically without opening it.

  12. [Evaluation by case managers dementia : An explorative practice based study on types and content]. (United States)

    Ketelaar, Nicole A B M; Jukema, Jan S; van Bemmel, Marlies; Adriaansen, Marian J M; Smits, Carolien H M


    This practice based explorative study aims to provide insight into the ways in which case managers shape and fill up the evaluation phase of their support of the informal care network of persons with dementia. A combination of quantitative and qualitative research methods were used. A group of 57 case managers of persons with dementia in three different organisational networks took part in this study. Results from the quantitative and qualitative data are organized into four themes: (1) attitude towards evaluation, (2) forms of evaluation, (3) implementation of evaluation and (4) content of evaluation. There are different ways in shaping evaluation and the content of it. The importance of interim and final evaluation is recognized, but is difficult to realize in a methodical way. Barriers experienced by the case managers include various factors associated both with clients as professionals. Case managers evaluate continuously and in an informal way to assess whether the extent of their assistance is meeting the needs of the client and informal network. Case managers do not use systematic evaluation to measure the quality of care they offer to persons with dementia and their caregivers. The findings demand a discussion on the level of clients, as well as on the professional and societal level about the way case managers should evaluate their support.

  13. A Modified Hydroxyproline Assay Based on Hydrochloric Acid in Ehrlich's Solution Accurately Measures Tissue Collagen Content. (United States)

    Cissell, Derek D; Link, Jarrett M; Hu, Jerry C; Athanasiou, Kyriacos A


    Collagen quantification has long been relevant to biomedical research and clinical practice to characterize tissues and determine disease states. The hydroxyproline assay, while a broadly employed method of quantifying collagen, uses perchloric acid to dissolve Ehrlich's reagent. Since perchloric acid poses occupational safety hazards and high costs, in this study, a new hydroxyproline assay was developed that replaces perchloric acid with a relatively safer and cheaper alternative, hydrochloric acid (HCl). To validate this biochemical technique, first, using either acid to dissolve Ehrlich's reagent, the assays were completed for native and engineered collagenous tissues. No statistical differences were identified between the assays (p = 0.32). Subsequently, both biochemical techniques were compared to amino acid analysis, considered a proteomics gold standard. Interestingly, utilizing HCl in lieu of perchloric acid yielded greater concordance with amino acid analysis (ρ c  = 0.980) than did the traditional assay (ρ c  = 0.947); that is, the HCl-based assay more closely estimates hydroxyproline content, and, consequently, true collagen content. Thus, using Ehrlich's reagent containing HCl in the hydroxyproline assay represents an advance in both mitigating laboratory safety hazards and improving biochemical collagen quantification.

  14. Pulsation-based method for reduction of nitrogen oxides content in torch combustion products (United States)

    Berg, I. A.; Porshnev, S. V.; Oshchepkova, V. Y.; Kit, M.


    Out of all ways to fuel bum the torch combustion systems is used most often. Even though the processes in the steam boiler are stochastic, the system can be controlled rather easily by changing the flowrate of the air pumped into it and – in case of balanced flue units – exhausters load. Advantages offered by torch-based combustion systems are offset by a disadvantage resulted in oxidation of nitrogen contained in the air. This paper provides rationale for an NOx content reduction method that employs pulsation mode of fuel combustion; it also describes combustion control and monitoring system employed for implementation of this method. Described methodology can be used not only for pulsation combustion studies but also for studies of torches formed by conventional burning systems. The outcome of the experimental study supports the assumption that it is possible to create conditions for NOx content reduction in flue gases by means of cycling the fuel supply on/off valve at the rate of 6 Hz.

  15. Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases. (United States)

    Ramos, José; Kockelkorn, Thessa T J P; Ramos, Isabel; Ramos, Rui; Grutters, Jan; Viergever, Max A; van Ginneken, Bram; Campilho, Aurélio


    Content-based image retrieval (CBIR) is a search technology that could aid medical diagnosis by retrieving and presenting earlier reported cases that are related to the one being diagnosed. To retrieve relevant cases, CBIR systems depend on supervised learning to map low-level image contents to high-level diagnostic concepts. However, the annotation by medical doctors for training and evaluation purposes is a difficult and time-consuming task, which restricts the supervised learning phase to specific CBIR problems of well-defined clinical applications. This paper proposes a new technique that automatically learns the similarity between the several exams from textual distances extracted from radiology reports, thereby successfully reducing the number of annotations needed. Our method first infers the relation between patients by using information retrieval techniques to determine the textual distances between patient radiology reports. These distances are subsequently used to supervise a metric learning algorithm, that transforms the image space accordingly to textual distances. CBIR systems with different image descriptions and different levels of medical annotations were evaluated, with and without supervision from textual distances, using a database of computer tomography scans of patients with interstitial lung diseases. The proposed method consistently improves CBIR mean average precision, with improvements that can reach 38%, and more marked gains for small annotation sets. Given the overall availability of radiology reports in picture archiving and communication systems, the proposed approach can be broadly applied to CBIR systems in different medical problems, and may facilitate the introduction of CBIR in clinical practice.

  16. Steganalysis of content-adaptive JPEG steganography based on Gauss partial derivative filter bank (United States)

    Zhang, Yi; Liu, Fenlin; Yang, Chunfang; Luo, Xiangyang; Song, Xiaofeng; Lu, Jicang


    A steganalysis feature extraction method based on Gauss partial derivative filter bank is proposed in this paper to improve the detection performance for content-adaptive JPEG steganography. Considering that the embedding changes of content-adaptive steganographic schemes are performed in the texture and edge regions, the proposed method generates filtered images comprising rich texture and edge information using Gauss partial derivative filter bank, and histograms of absolute values of filtered subimages are extracted as steganalysis features. Gauss partial derivative filter bank can represent texture and edge information in multiple orientations with less computation load than conventional methods and prevent redundancy in different filtered images. These two properties are beneficial in the extraction of low-complexity sensitive features. The results of experiments conducted on three selected modern JPEG steganographic schemes-uniform embedding distortion, JPEG universal wavelet relative distortion, and side-informed UNIWARD-indicate that the proposed feature set is superior to the prior art feature sets-discrete cosine transform residual, phase aware rich model, and Gabor filter residual.


    Directory of Open Access Journals (Sweden)



    Full Text Available WiMedia Medium Access Control (MAC provides high rate data transfer for wireless networking thereby enables construction of high speed home networks. It facilitates data communication between the nodes through two modes namely: i Distributed Reservation Protocol (DRP for isochronous traffic and ii Prioritized Contention Access (PCA for asynchronous traffic. PCA mode enables medium access using CSMA/CA similar to IEEE 802.11e. In the presence of DRP, the throughput of PCA saturates when there is an increase in the number of devices accessing PCA channel. Researchers suggest that the better utilization of medium resolves many issues in an effective way. To demonstrate the effective utilization of the medium, Contention Based Distributed Reservation Protocol Allocation Algorithm for WiMedia Medium Access Control is proposed for reserving Medium Access Slots under DRP in the presence of PCA. The proposed algorithm provides a better medium access, reduces energy consumption and enhances the throughput when compared to the existing methodologies.

  18. Design based Investigation on Construction of Mathematical Modelling Problems: Example of Financial Content

    Directory of Open Access Journals (Sweden)



    Full Text Available The purpose of this study is to examine the construction of mathematical modelling problems process in the content of financial literacy. It is also aimed to create design proposals for construction of mathematical modelling problems. A design based research method was used in this study. The participants were three seventh grade students, six finance experts and nine mathematics education experts. Data collection tools were transcription of video and tapes group discussions, presentations and worksheets during mathematical modelling activities, and participant experts’ feedback form about mathematical modelling problems. There were three stages in this study. First stage was application of preliminary study. This stage gave information about convenience of problems to grade level, students’ timing for solution of problems, clarity of problems and students’ background about content. In second stage, finance experts commented on convenience of mathematical modelling problems to financial literacy standards. In third stage, mathematics education experts commented on convenience of problems to students’ grade level, mathematical modelling principles and seventh grade mathematics lesson objectives. They also gave suggestion on progress. The frequency value of theme in feedback forms was calculated and experts’ expressions were given as citation. It was given suggestion about stages and application of the design guide

  19. Matching Jobs, People, and Instructional Content: An Innovative Application of a Latent Semantic Analysis-Based Technology

    National Research Council Canada - National Science Library

    Laham, Darrell; Bennett, Winston, Jr; Landauer, Thomas K


    ..., pinpoint needed retraining content, and maximize training and retraining efficiency. The LSA-based technology extracts semantic information about people, occupations, and task-experience contained in a natural-text database...

  20. Canine intestinal contents vs. simulated media for the assessment of solubility of two weak bases in the human small intestinal contents. (United States)

    Kalantzi, Lida; Persson, Eva; Polentarutti, Britta; Abrahamsson, Bertil; Goumas, Konstantinos; Dressman, Jennifer B; Reppas, Christos


    This study was conducted to assess the relative usefulness of canine intestinal contents and simulated media in the prediction of solubility of two weak bases (dipyridamole and ketoconazole) in fasted and fed human intestinal aspirates that were collected under conditions simulating those in bioavailability/bioequivalence studies. After administration of 250 mL of water or 500 mL of Ensure plus [both containing 10 mg/mL polyethylene glycol (PEG) 4000 as nonabsorbable marker], intestinal aspirates were collected from the fourth part of the duodenum of 12 healthy adults and from the mid-jejunum of four Labradors. Pooled samples were analyzed for PEG, pH, buffer capacity, osmolality, surface tension, pepsin, total carbohydrates, total protein content, bile salts, phospholipids, and neutral lipids. The shake-flask method was used to measure the solubility of dipyridamole and ketoconazole in pooled human and canine intestinal contents and in fasted-state-simulating intestinal fluid (FaSSIF) and fed-state-simulating intestinal fluid (FeSSIF) containing various bile salts and pH-buffering agents. For both compounds, solubility in canine contents may be predictive of human intralumenal solubility in the fasting state but not in the fed state. The poor agreement of results in canine and human aspirates can be attributed to the higher bile salt content in canine bile. Solubility in FaSSIF containing a mixture of bile salts from crude bile predicted satisfactorily the intralumenal solubility of both drugs in the fasted state in humans. Solubility in FeSSIF, regardless of the identity of bile salts or of the buffering species, deviated from intralumenal values in the fed human aspirates by up to 40%. This was attributed to the lack of lipolytic products in FeSSIF, the higher bile salt content of FeSSIF, and the lower pH of FeSSIF. FaSSIF containing a mixture of bile salts from crude bile, and FeSSIF containing lipolytic products and, perhaps, having lower bile salt content but

  1. Empirical models of Total Electron Content based on functional fitting over Taiwan during geomagnetic quiet condition

    Directory of Open Access Journals (Sweden)

    Y. Kakinami


    Full Text Available Empirical models of Total Electron Content (TEC based on functional fitting over Taiwan (120° E, 24° N have been constructed using data of the Global Positioning System (GPS from 1998 to 2007 during geomagnetically quiet condition (Dst>−30 nT. The models provide TEC as functions of local time (LT, day of year (DOY and the solar activity (F, which are represented by 1–162 days mean of F10.7 and EUV. Other models based on median values have been also constructed and compared with the models based on the functional fitting. Under same values of F parameter, the models based on the functional fitting show better accuracy than those based on the median values in all cases. The functional fitting model using daily EUV is the most accurate with 9.2 TECu of root mean square error (RMS than the 15-days running median with 10.4 TECu RMS and the model of International Reference Ionosphere 2007 (IRI2007 with 14.7 TECu RMS. IRI2007 overestimates TEC when the solar activity is low, and underestimates TEC when the solar activity is high. Though average of 81 days centered running mean of F10.7 and daily F10.7 is often used as indicator of EUV, our result suggests that average of F10.7 mean from 1 to 54 day prior and current day is better than the average of 81 days centered running mean for reproduction of TEC. This paper is for the first time comparing the median based model with the functional fitting model. Results indicate the functional fitting model yielding a better performance than the median based one. Meanwhile we find that the EUV radiation is essential to derive an optimal TEC.

  2. TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury (United States)

    Li, Shimiao; Gong, Tianxia; Wang, Jie; Liu, Ruizhe; Tan, Chew Lim; Leong, Tze Yun; Pang, Boon Chuan; Lim, C. C. Tchoyoson; Lee, Cheng Kiang; Tian, Qi; Zhang, Zhuo


    Traumatic brain injury (TBI) is a major cause of death and disability. Computed Tomography (CT) scan is widely used in the diagnosis of TBI. Nowadays, large amount of TBI CT data is stacked in the hospital radiology department. Such data and the associated patient information contain valuable information for clinical diagnosis and outcome prediction. However, current hospital database system does not provide an efficient and intuitive tool for doctors to search out cases relevant to the current study case. In this paper, we present the TBIdoc system: a content-based image retrieval (CBIR) system which works on the TBI CT images. In this web-based system, user can query by uploading CT image slices from one study, retrieval result is a list of TBI cases ranked according to their 3D visual similarity to the query case. Specifically, cases of TBI CT images often present diffuse or focal lesions. In TBIdoc system, these pathological image features are represented as bin-based binary feature vectors. We use the Jaccard-Needham measure as the similarity measurement. Based on these, we propose a 3D similarity measure for computing the similarity score between two series of CT slices. nDCG is used to evaluate the system performance, which shows the system produces satisfactory retrieval results. The system is expected to improve the current hospital data management in TBI and to give better support for the clinical decision-making process. It may also contribute to the computer-aided education in TBI.

  3. Improvement of medical content in the curriculum of biomedical engineering based on assessment of students outcomes. (United States)

    Abdulhay, Enas; Khnouf, Ruba; Haddad, Shireen; Al-Bashir, Areen


    Improvement of medical content in Biomedical Engineering curricula based on a qualitative assessment process or on a comparison with another high-standard program has been approached by a number of studies. However, the quantitative assessment tools have not been emphasized. The quantitative assessment tools can be more accurate and robust in cases of challenging multidisciplinary fields like that of Biomedical Engineering which includes biomedicine elements mixed with technology aspects. The major limitations of the previous research are the high dependence on surveys or pure qualitative approaches as well as the absence of strong focus on medical outcomes without implicit confusion with the technical ones. The proposed work presents the development and evaluation of an accurate/robust quantitative approach to the improvement of the medical content in the challenging multidisciplinary BME curriculum. The work presents quantitative assessment tools and subsequent improvement of curriculum medical content applied, as example for explanation, to the ABET (Accreditation Board for Engineering and Technology, USA) accredited biomedical engineering BME department at Jordan University of Science and Technology. The quantitative results of assessment of curriculum/course, capstone, exit exam, course assessment by student (CAS) as well as of surveys filled by alumni, seniors, employers and training supervisors were, first, mapped to the expected students' outcomes related to the medical field (SOsM). The collected data were then analyzed and discussed to find curriculum weakness points by tracking shortcomings in every outcome degree of achievement. Finally, actions were taken to fill in the gaps of the curriculum. Actions were also mapped to the students' medical outcomes (SOsM). Weighted averages of obtained quantitative values, mapped to SOsM, indicated accurately the achievement levels of all outcomes as well as the necessary improvements to be performed in curriculum

  4. Personnel Administrators' Preferences for Resume Content: A Survey and Review of Empirically Based Conclusions. (United States)

    Hutchinson, Kevin L.


    Reports results of a survey of Fortune 500 personnel administrators' preferences for the content of resumes submitted by college students entering the job market. Concludes that textbooks, teachers, and applicants should not only include but stress this preferred content. (PD)

  5. Effect of soft-hard segment content on properties of palm oil polyol based shape memory polyurethane (United States)

    Darman, Amina; Ali, Ernie Suzana; Zubir, Syazana Ahmad


    Shape memory polymers (SMP) are smart materials with the ability of changing shape when subjected to external stimuli. In this work, the shape memory polyurethane (SMPU) has been synthesized via two step bulk polymerization method by replacing up to 40% molar ratio of petroleum-based polyol using palm oil-based polyols (POP). This effort was done with the purpose of reducing the usage of petroleum-based polyol due to environmental awareness. The main objective is to investigate the effects of different polyol/isocyanate/1,4-butanediol molar ratio in relation to soft-hard segment content towards the mechanical and shape memory properties of the resulting SMPU. The mechanical properties were improved with POP addition and optimum performance of tensile properties were obtained within 35 to 40% of hard segment content. Tensile strength increased with increasing POP content but after 40% of hard segment content, the properties decreased. On the other hand, the modulus significantly reduced with an increase of hard segment content. Crystallinity also decreased with decreasing of polycaprolactone diol (PCL) content as more POP content was added. Shape memory properties of PU 165 is better than PU 154 in terms of the ability to return to its original shape since all of PU 165 samples showed 100% recovery. In general, the addition of palm oil-based polyol showed improvement in mechanical and shape memory properties as compared to pristine SMPU.

  6. Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval (United States)

    Jiexian, Zeng; Xiupeng, Liu


    Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaussian function first, and then the distance coherence vector is, respectively, extracted from the contour of the original image and evolved images. Multiscale distance coherence vector was obtained by reasonable weight distribution of the distance coherence vectors of evolved images contour. This algorithm not only is invariable to translation, rotation, and scaling transformation but also has good performance of antinoise. The experiment results show us that the algorithm has a higher recall rate and precision rate for the retrieval of images polluted by noise. PMID:24883416


    Directory of Open Access Journals (Sweden)

    Erick Fernando


    Full Text Available Dokter spesialis kulit melakukan pemeriksa secara visual objek mata, capture objek dengan kamera digital dan menanyakan riwayat perjalanan penyakit pasien, tanpa melakukan perbandingan terhadap gejala dan tanda yang ada sebelummnya. Sehingga pemeriksaan dan perkiraan jenis penyakit kulit. Pengolahan data citra dalam bentuk digital khususnya citra medis sudah sangat dibutuhkan dengan pra-processing. Banyak pasien yang dilayani di rumah sakit masih menggunakan data citra analog. Data analog ini membutuhkan ruangan khusus untuk menyimpan guna menghindarkan kerusakan mekanis. Uraian mengatasi permasalahan ini, citra medis dibuat dalam bentuk digital dan disimpan dalam sistem database dan dapat melihat kesamaan citra kulit yang baru. Citra akan dapat ditampilkan dengan pra- processing dengan identifikasi kesamaan dengan Content Based Image Retrieval (CBIR bekerja dengan cara mengukur kemiripan citra query dengan semua citra yang ada dalam database sehingga query cost berbanding lurus dengan jumlah citra dalam database.

  8. Efficient content-based low-altitude images correlated network and strips reconstruction (United States)

    He, Haiqing; You, Qi; Chen, Xiaoyong


    The manual intervention method is widely used to reconstruct strips for further aerial triangulation in low-altitude photogrammetry. Clearly the method for fully automatic photogrammetric data processing is not an expected way. In this paper, we explore a content-based approach without manual intervention or external information for strips reconstruction. Feature descriptors in the local spatial patterns are extracted by SIFT to construct vocabulary tree, in which these features are encoded in terms of TF-IDF numerical statistical algorithm to generate new representation for each low-altitude image. Then images correlated network is reconstructed by similarity measure, image matching and geometric graph theory. Finally, strips are reconstructed automatically by tracing straight lines and growing adjacent images gradually. Experimental results show that the proposed approach is highly effective in automatically rearranging strips of lowaltitude images and can provide rough relative orientation for further aerial triangulation.

  9. Decomposition of atmospheric water content into cluster contributions based on theoretical association equilibrium constants

    International Nuclear Information System (INIS)

    Slanina, Z.


    Water vapor is treated as an equilibrium mixture of water clusters (H 2 O)/sub i/ using quantum-chemical evaluation of the equilibrium constants of water associations. The model is adapted to the conditions of atmospheric humidity, and a decomposition algorithm is suggested using the temperature and mass concentration of water as input information and used for a demonstration of evaluation of the water oligomer populations in the Earth's atmosphere. An upper limit of the populations is set up based on the water content in saturated aqueous vapor. It is proved that the cluster population in the saturated water vapor, as well as in the Earth's atmosphere for a typical temperature/humidity profile, increases with increasing temperatures

  10. A Probabilistic Framework for Content-Based Diagnosis of Retinal Disease

    Energy Technology Data Exchange (ETDEWEB)

    Tobin Jr, Kenneth William [ORNL; Abdelrahman, Mohamed A [ORNL; Chaum, Edward [ORNL; Muthusamy Govindasamy, Vijaya Priya [ORNL; Karnowski, Thomas Paul [ORNL


    Diabetic retinopathy is the leading cause of blindness in the working age population around the world. Computer assisted analysis has the potential to assist in the early detection of diabetes by regular screening of large populations. The widespread availability of digital fundus cameras today is resulting in the accumulation of large image archives of diagnosed patient data that captures historical knowledge of retinal pathology. Through this research we are developing a content-based image retrieval method to verify our hypothesis that retinal pathology can be identified and quantified from visually similar retinal images in an image archive. We will present diagnostic results for specificity and sensitivity on a population of 395 fundus images representing the normal fundus and 14 stratified disease states.

  11. Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. (United States)

    Wei, Liyang; Yang, Yongyi; Nishikawa, Roberts M


    In this paper we propose a microcalcification classification scheme, assisted by content-based mammogram retrieval, for breast cancer diagnosis. We recently developed a machine learning approach for mammogram retrieval where the similarity measure between two lesion mammograms was modeled after expert observers. In this work we investigate how to use retrieved similar cases as references to improve the performance of a numerical classifier. Our rationale is that by adaptively incorporating local proximity information into a classifier, it can help to improve its classification accuracy, thereby leading to an improved "second opinion" to radiologists. Our experimental results on a mammogram database demonstrate that the proposed retrieval-driven approach with an adaptive support vector machine (SVM) could improve the classification performance from 0.78 to 0.82 in terms of the area under the ROC curve.

  12. Internet-based health education in China: a content analysis of websites. (United States)

    Peng, Ying; Wu, Xi; Atkins, Salla; Zwarentein, Merrick; Zhu, Ming; Zhan, Xing Xin; Zhang, Fan; Ran, Peng; Yan, Wei Rong


    The Internet is increasingly being applied in health education worldwide; however there is little knowledge of its use in Chinese higher education institutions. The present study provides the first review and highlights the deficiencies and required future advances in Chinese Internet-based health education. Two authors independently conducted a duplicate Internet search in order to identify information regarding Internet-based health education in China. The findings showed that Internet-based education began in China in September 1998. Currently, only 16 of 150 (10.7%) health education institutions in China offer fee-based online undergraduate degree courses, awarding associates and/or bachelors degrees. Fifteen of the 16 institutions were located in the middle or on the eastern coast of China, where were more developed than other regions. Nursing was the most popular discipline in Internet-based health education, while some other disciplines, such as preventive medicine, were only offered at one university. Besides degree education, Chinese institutions also offered non-degree online training and free resources. The content was mainly presented in the form of PowerPoint slides or videos for self-learning. Very little online interactive mentoring was offered with any of the courses. There is considerable potential for the further development of Internet-based health education in China. These developments should include a focus on strengthening cooperation among higher education institutions in order to develop balanced online health curricula, and on enhancing distance education in low- and middle-income regions to meet extensive learning demands.

  13. Content Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram

    Directory of Open Access Journals (Sweden)

    Abolfazl Lakdashti


    Full Text Available Introduction: Content Based Image Retrieval (CBIR is a method of image searching and retrieval in a  database. In medical applications, CBIR is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. As the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retrieval is increasingly  becoming a necessity.  Materials and Methods: This paper presents a new content based radiographic image retrieval approach  based on histogram of pattern orientations, namely pattern orientation histogram (POH. POH represents  the  spatial  distribution  of  five  different  pattern  orientations:  vertical,  horizontal,  diagonal  down/left,  diagonal down/right and non-orientation. In this method, a given image is first divided into image-blocks  and  the  frequency  of  each  type  of  pattern  is  determined  in  each  image-block.  Then,  local  pattern  histograms for each of these image-blocks are computed.   Results: The method was compared to two well known texture-based image retrieval methods: Tamura  and  Edge  Histogram  Descriptors  (EHD  in  MPEG-7  standard.  Experimental  results  based  on  10000  IRMA  radiography  image  dataset,  demonstrate  that  POH  provides  better  precision  and  recall  rates  compared to Tamura and EHD. For some images, the recall and precision rates obtained by POH are,  respectively, 48% and 18% better than the best of the two above mentioned methods.    Discussion and Conclusion: Since we exploit the absolute location of the pattern in the image as well as  its global composition, the proposed matching method can retrieve semantically similar medical images.

  14. Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy. (United States)

    Bedo, Marcos Vinicius Naves; Pereira Dos Santos, Davi; Ponciano-Silva, Marcelo; de Azevedo-Marques, Paulo Mazzoncini; Ferreira de Carvalho, André Ponce de León; Traina, Caetano


    Content-based medical image retrieval (CBMIR) is a powerful resource to improve differential computer-aided diagnosis. The major problem with CBMIR applications is the semantic gap, a situation in which the system does not follow the users' sense of similarity. This gap can be bridged by the adequate modeling of similarity queries, which ultimately depends on the combination of feature extractor methods and distance functions. In this study, such combinations are referred to as perceptual parameters, as they impact on how images are compared. In a CBMIR, the perceptual parameters must be manually set by the users, which imposes a heavy burden on the specialists; otherwise, the system will follow a predefined sense of similarity. This paper presents a novel approach to endow a CBMIR with a proper sense of similarity, in which the system defines the perceptual parameter depending on the query element. The method employs ensemble strategy, where an extreme learning machine acts as a meta-learner and identifies the most suitable perceptual parameter according to a given query image. This parameter defines the search space for the similarity query that retrieves the most similar images. An instance-based learning classifier labels the query image following the query result set. As the concept implementation, we integrated the approach into a mammogram CBMIR. For each query image, the resulting tool provided a complete second opinion, including lesion class, system certainty degree, and set of most similar images. Extensive experiments on a large mammogram dataset showed that our proposal achieved a hit ratio up to 10% higher than the traditional CBMIR approach without requiring external parameters from the users. Our database-driven solution was also up to 25% faster than content retrieval traditional approaches.

  15. A Policy-based System for Handoffs between Intermediary Content Providers in the Wireless Internet

    NARCIS (Netherlands)

    Kamilova, M.; Hesselman, C.E.W.; Widya, I.A.; Huizer, E.

    We consider the distribution of real-time multimedia content (e.g., radio or TV broadcasts) through multiple aggregators. An aggregator is an intermediary content provider that operates a pool of proxy servers to aggregate content from sources and forward it to mobile hosts. Aggregators package

  16. The feasibility study based on e-commerce instructions-focuses on detection and deletion of illegal content (United States)

    Guo, Tianze; Bi, Siyu; Liu, Jiaming


    This essay legally restrains the illegal content based on the e-commerce directive and introduces that the European countries detect and notify illegal content through the instructions of competent authorities, notification of credible flaggers, user reports and technical tools. The illegal content should be deleted through the service terms and transparency report basing on prevent excessive deletions system. At the same time, use filters to detect and filter to against the recurrence of illegal content. By analyzing the advantages of China under the environment of cracking down on illegal content, this essay concludes that the success of China in cracking down on illegal content lies in all-round collaborative management model of countries, governments, enterprises and individuals. At the end of the essay, one is to build a training corpus that can automatically update the ability to identify the illegal content. And it proposes an optimization scheme that establish a complete set of address resolution procedures and classify IP address data according to big data analysis and DNS protection module to prevent hackers from spreading illegal content by tampering with DNS segments.

  17. System for accessing a collection of histology images using content-based strategies

    International Nuclear Information System (INIS)

    Gonzalez F; Caicedo J C; Cruz Roa A; Camargo, J; Spinel, C


    Histology images are an important resource for research, education and medical practice. The availability of image collections with reference purposes is limited to printed formats such as books and specialized journals. When histology image sets are published in digital formats, they are composed of some tens of images that do not represent the wide diversity of biological structures that can be found in fundamental tissues; making a complete histology image collection available to the general public having a great impact on research and education in different areas such as medicine, biology and natural sciences. This work presents the acquisition process of a histology image collection with 20,000 samples in digital format, from tissue processing to digital image capturing. The main purpose of collecting these images is to make them available as reference material to the academic community. In addition, this paper presents the design and architecture of a system to query and explore the image collection, using content-based image retrieval tools and text-based search on the annotations provided by experts. The system also offers novel image visualization methods to allow easy identification of interesting images among hundreds of possible pictures. The system has been developed using a service-oriented architecture and allows web-based access in

  18. Implementation and evaluation of a medical image management system with content-based retrieval support

    International Nuclear Information System (INIS)

    Carita, Edilson Carlos; Seraphim, Enzo; Honda, Marcelo Ossamu; Azevedo-Marques, Paulo Mazzoncini de


    Objective: the present paper describes the implementation and evaluation of a medical images management system with content-based retrieval support (PACS-CBIR) integrating modules focused on images acquisition, storage and distribution, and text retrieval by keyword and images retrieval by similarity. Materials and methods: internet-compatible technologies were utilized for the system implementation with free ware, and C ++ , PHP and Java languages on a Linux platform. There is a DICOM-compatible image management module and two query modules, one of them based on text and the other on similarity of image texture attributes. Results: results demonstrate an appropriate images management and storage, and that the images retrieval time, always < 15 sec, was found to be good by users. The evaluation of retrieval by similarity has demonstrated that the selected images extractor allowed the sorting of images according to anatomical areas. Conclusion: based on these results, one can conclude that the PACS-CBIR implementation is feasible. The system has demonstrated to be DICOM-compatible, and that it can be integrated with the local information system. The similar images retrieval functionality can be enhanced by the introduction of further descriptors. (author)

  19. gLibrary/DRI: A grid-based platform to host multiple repositories for digital content

    International Nuclear Information System (INIS)

    Calanducci, A.; Gonzalez Martin, J. M.; Ramos Pollan, R.; Rubio del Solar, M.; Tcaci, S.


    In this work we present the gLibrary/DRI (Digital Repositories Infrastructure) platform. gLibrary/DRI extends gLibrary, a system with a easy-to-use web front-end designed to save and organize multimedia assets on Grid-based storage resources. The main goal of the extended platform is to reduce the cost in terms of time and effort that a repository provider spends to get its repository deployed. This is achieved by providing a common infrastructure and a set of mechanisms (APIs and specifications) that the repository providers use to define the data model, the access to the content (by navigation trees and filters) and the storage model. DRI offers a generic way to provide all this functionality; nevertheless the providers can add specific behaviours to the default functions for their repositories. The architecture is Grid based (VO system, data federation and distribution, computing power, etc). A working example based on a mammograms repository is also presented. (Author)

  20. Predicting hepatic steatosis and liver fat content in obese children based on biochemical parameters and anthropometry. (United States)

    Zhang, H-X; Xu, X-Q; Fu, J-F; Lai, C; Chen, X-F


    Predictors of quantitative evaluation of hepatic steatosis and liver fat content (LFC) using clinical and laboratory variables available in the general practice in the obese children are poorly identified. To build predictive models of hepatic steatosis and LFC in obese children based on biochemical parameters and anthropometry. Hepatic steatosis and LFC were determined using proton magnetic resonance spectroscopy in 171 obese children aged 5.5-18.0 years. Routine clinical and laboratory parameters were also measured in all subjects. Group analysis, univariable correlation analysis, and multivariate logistic and linear regression analysis were used to develop a liver fat score to identify hepatic steatosis and a liver fat equation to predict LFC in each subject. The predictive model of hepatic steatosis in our participants based on waist circumference and alanine aminotransferase had an area under the receiver operating characteristic curve of 0.959 (95% confidence interval: 0.927-0.990). The optimal cut-off value of 0.525 for determining hepatic steatosis had sensitivity of 93% and specificity of 90%. A liver fat equation was also developed based on the same parameters of hepatic steatosis liver fat score, which would be used to calculate the LFC in each individual. The liver fat score and liver fat equation, consisting of routinely available variables, may help paediatricians to accurately determine hepatic steatosis and LFC in clinical practice, but external validation is needed before it can be employed for this purpose. © 2014 The Authors. Pediatric Obesity © 2014 World Obesity.

  1. Automated and effective content-based image retrieval for digital mammography. (United States)

    Singh, Vibhav Prakash; Srivastava, Subodh; Srivastava, Rajeev


    Nowadays, huge number of mammograms has been generated in hospitals for the diagnosis of breast cancer. Content-based image retrieval (CBIR) can contribute more reliable diagnosis by classifying the query mammograms and retrieving similar mammograms already annotated by diagnostic descriptions and treatment results. Since labels, artifacts, and pectoral muscles present in mammograms can bias the retrieval procedures, automated detection and exclusion of these image noise patterns and/or non-breast regions is an essential pre-processing step. In this study, an efficient and automated CBIR system of mammograms was developed and tested. First, the pre-processing steps including automatic labelling-artifact suppression, automatic pectoral muscle removal, and image enhancement using the adaptive median filter were applied. Next, pre-processed images were segmented using the co-occurrence thresholds based seeded region growing algorithm. Furthermore, a set of image features including shape, histogram based statistical, Gabor, wavelet, and Gray Level Co-occurrence Matrix (GLCM) features, was computed from the segmented region. In order to select the optimal features, a minimum redundancy maximum relevance (mRMR) feature selection method was then applied. Finally, similar images were retrieved using Euclidean distance similarity measure. The comparative experiments conducted with reference to benchmark mammographic images analysis society (MIAS) database confirmed the effectiveness of the proposed work concerning average precision of 72% and 61.30% for normal & abnormal classes of mammograms, respectively.

  2. Religion-Based User Generated Content in Online Newspapers Covering the Colectiv Nightclub Fire

    Directory of Open Access Journals (Sweden)

    Radu Cristian Răileanu


    Full Text Available The high degree of interactivity of the Internet, combined with the almost ubiquitous presence of forums on online media publications, has offered everybody the possibility to express their opinions and beliefs on websites. This paper uses content analysis to examine the religion-based comments that were posted on 8 Romanian mainstream news websites in reply to articles regarding a fire that broke out during a rock concert in Bucharest, killing over 50 people and injuring more than 100. The analysis also included the answers to these comments. Among the findings, we have discovered that the highest percentage of religion-based comments made some type of reference to Satanism and that very few of them expressed compassion towards the victims. On the other hand, counter-speech strategies managed to halt hate speech in almost half of the cases where they were employed. However, personal attacks against religion-based commentators were the most commonly used form of counter-speech, contributing to an unfriendly climate on the forums.

  3. Investigating elementary education and physical therapy majors' perceptions of an inquiry-based physics content course (United States)

    Hilton, John Martin

    This study investigates why physical therapy assistant majors engage and perform better than elementary education majors in an inquiry-based conceptual physics course at Mid-Atlantic Community College. The students from each major are demographically similar, both courses are similar in depth and structure, and each course supports the students' program. However, there is an observed difference in the levels of engagement with the curriculum and performance on writing-based assessments between the two groups. To explore possible explanations for the difference, I examine students' affinity for science, their beliefs about the nature of science and scientific knowledge in the classroom, and their perception of the usefulness of science to their program. During semi-structured interviews, students from both majors displayed nearly identical weak affinities for science, epistemological beliefs, and uncertainty about the usefulness of the class. However, the physical therapy majors' ability to see the relevance of the physics course experience to their program enhanced their interest and motivation. In contrast, the elementary education students do not see connections between the course and their program, and do not see a purpose for their learning of physics content. To improve the program, I propose a two-pronged approach - designing a faded-scaffolded-inquiry approach for both classes, and developing a field-based/seminar class for the elementary education majors. The scaffolded inquiry will help both groups develop better orientations toward lab activities, and the structured observations and reflection will help the elementary group connect the material to their program.

  4. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks

    Directory of Open Access Journals (Sweden)

    Asiya Khan


    Full Text Available The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over Universal Mobile Telecommunication Systems (UMTS networks. In order to characterize the Quality of Service (QoS level, a learning model based on Adaptive Neural Fuzzy Inference System (ANFIS and a second model based on non-linear regression analysis is proposed to predict the video quality in terms of the Mean Opinion Score (MOS. The objective of the paper is two-fold. First, to find the impact of QoS parameters on end-to-end video quality for H.264 encoded video. Second, to develop learning models based on ANFIS and non-linear regression analysis to predict video quality over UMTS networks by considering the impact of radio link loss models. The loss models considered are 2-state Markov models. Both the models are trained with a combination of physical and application layer parameters and validated with unseen dataset. Preliminary results show that good prediction accuracy was obtained from both the models. The work should help in the development of a reference-free video prediction model and QoS control methods for video over UMTS networks.


    Directory of Open Access Journals (Sweden)

    F González


    Full Text Available Histology images are an important resource for research, education and medical practice. The availability of image collections with reference purposes is limited to printed formats such as books and specialized journals. When histology image sets are published in digital formats, they are composed of some tens of images that do not represent the wide diversity of biological structures that can be found in fundamental tissues. Making a complete histology image collection available to the general public having a great impact on research and education in different areas such as medicine, biology and natural sciences. This work presents the acquisition process of a histology image collection with 20,000 samples in digital format, from tissue processing to digital image capturing. The main purpose of collecting these images is to make them available as reference material to the academic comunity. In addition, this paper presents the design and architecture of a system to query and explore the image collection, using content-based image retrieval tools and text-based search on the annotations provided by experts. The system also offers novel image visualization methods to allow easy identification of interesting images among hundreds of possible pictures. The system has been developed using a service-oriented architecture and allows web-based access in

  6. Influence of dissolved organic carbon content on modelling natural organic matter acid-base properties. (United States)

    Garnier, Cédric; Mounier, Stéphane; Benaïm, Jean Yves


    Natural organic matter (NOM) behaviour towards proton is an important parameter to understand NOM fate in the environment. Moreover, it is necessary to determine NOM acid-base properties before investigating trace metals complexation by natural organic matter. This work focuses on the possibility to determine these acid-base properties by accurate and simple titrations, even at low organic matter concentrations. So, the experiments were conducted on concentrated and diluted solutions of extracted humic and fulvic acid from Laurentian River, on concentrated and diluted model solutions of well-known simple molecules (acetic and phenolic acids), and on natural samples from the Seine river (France) which are not pre-concentrated. Titration experiments were modelled by a 6 acidic-sites discrete model, except for the model solutions. The modelling software used, called PROSECE (Programme d'Optimisation et de SpEciation Chimique dans l'Environnement), has been developed in our laboratory, is based on the mass balance equilibrium resolution. The results obtained on extracted organic matter and model solutions point out a threshold value for a confident determination of the studied organic matter acid-base properties. They also show an aberrant decreasing carboxylic/phenolic ratio with increasing sample dilution. This shift is neither due to any conformational effect, since it is also observed on model solutions, nor to ionic strength variations which is controlled during all experiments. On the other hand, it could be the result of an electrode troubleshooting occurring at basic pH values, which effect is amplified at low total concentration of acidic sites. So, in our conditions, the limit for a correct modelling of NOM acid-base properties is defined as 0.04 meq of total analysed acidic sites concentration. As for the analysed natural samples, due to their high acidic sites content, it is possible to model their behaviour despite the low organic carbon concentration.

  7. Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers.

    Directory of Open Access Journals (Sweden)

    Mansour Alsaleh

    Full Text Available Web spammers aim to obtain higher ranks for their web pages by including spam contents that deceive search engines in order to include their pages in search results even when they are not related to the search terms. Search engines continue to develop new web spam detection mechanisms, but spammers also aim to improve their tools to evade detection. In this study, we first explore the effect of the page language on spam detection features and we demonstrate how the best set of detection features varies according to the page language. We also study the performance of Google Penguin, a newly developed anti-web spamming technique for their search engine. Using spam pages in Arabic as a case study, we show that unlike similar English pages, Google anti-spamming techniques are ineffective against a high proportion of Arabic spam pages. We then explore multiple detection features for spam pages to identify an appropriate set of features that yields a high detection accuracy compared with the integrated Google Penguin technique. In order to build and evaluate our classifier, as well as to help researchers to conduct consistent measurement studies, we collected and manually labeled a corpus of Arabic web pages, including both benign and spam pages. Furthermore, we developed a browser plug-in that utilizes our classifier to warn users about spam pages after clicking on a URL and by filtering out search engine results. Using Google Penguin as a benchmark, we provide an illustrative example to show that language-based web spam classifiers are more effective for capturing spam contents.

  8. Garment needs of pregnant women based on content analysis of in-depth interviews. (United States)

    Ho, Simone S M; Yu, Winnie W M; Lao, Terence T; Chow, Daniel H K; Chung, Joanne W Y; Li, Yi


    This study aims to identify the needs, concerns and problems of pregnant women when using maternity support garments. Maternity support belt is regarded as helpful in reducing low back pain during pregnancy. However, several garment-related problems exist which might lead to poor adherence behaviour undermining the benefit of garment therapy. A qualitative exploratory study. METHODS. Semi-structured interviews were conducted with 10 pregnant Chinese women who experienced low back pain during pregnancy. All the interviews followed an interview guide and different maternity support garments were shown to the participants as a method of tangible objects to stimulate responses. Content analysis was used to analyse the data. The results showed that 60% of pregnant women discontinued using maternity support garments due to excessive heat, perceived ineffectiveness, itchiness, excessive pressure around the abdomen and inconvenience of adjustment. The content analysis generated five main themes of needs including effective function, safety, skin comfort, ease to put on and take off and aesthetics of maternity support garments. The findings of the five main themes of needs were largely consistent with previous studies examining medical garments for overall satisfaction and compliance. The results revealed that women's physiological and psychological changes during pregnancy influenced their clothing preferences on both functional and aesthetical values. Maternity support garments are convenient and easily-accessible therapy to manage LBP during pregnancy and are frequently recommended and worn by pregnant women. However, inappropriate choice of garment therapy not only led to ineffectiveness but also undesirable effects. The key findings of the five main themes of garment needs in pregnant women will facilitate healthcare professionals in providing evidence-based advice to assist patients in the selection of an appropriate and optimal maternity support garment. These

  9. A content analysis of smartphone-based applications for hypertension management. (United States)

    Kumar, Nilay; Khunger, Monica; Gupta, Arjun; Garg, Neetika


    Smartphone-based medical applications (apps) can facilitate self-management of hypertension (HTN). The content and consumer interaction metrics of HTN-related apps are unknown. In this cross-sectional study to ascertain the content of medical apps designed for HTN management, we queried Google Play and Apple iTunes using the search terms "hypertension" and "high blood pressure." The top 107 apps were analyzed. Major app functionalities including tracking (for blood pressure [BP], pulse, weight, body mass index), medical device (to measure pulse or BP), general information on HTN, and medication adherence tools were recorded along with consumer engagement parameters. Data were collected from May 28 to May 30, 2014. A total of 72% of the apps had tracking function, 22% had tools to enhance medication adherence, 37% contained general information on HTN, and 8% contained information on Dietary Approaches to Stop Hypertension (DASH) diet. These data showed that a majority of apps for HTN are designed primarily for health management functions. However, 14% of Google Android apps could transform the smartphone into a medical device to measure BP. None of these apps employed the use of a BP cuff or had any documentation of validation against a gold standard. Only 3% of the apps were developed by healthcare agencies such as universities or professional organizations. In regression models. the medical device function was highly predictive of greater number of downloads (odds ratio, 97.08; P apps designed for HTN serve health management functions such as tracking blood pressure, weight, or body mass index. Consumers have a strong tendency to download and favorably rate apps that are advertised to measure blood pressure and heart rate, despite a lack of validation for these apps. There is a need for greater oversight in medical app development for HTN, especially when they qualify as a medical device. Copyright © 2015 American Society of Hypertension. Published by Elsevier

  10. Design and development of a content-based medical image retrieval system for spine vertebrae irregularity. (United States)

    Mustapha, Aouache; Hussain, Aini; Samad, Salina Abdul; Zulkifley, Mohd Asyraf; Diyana Wan Zaki, Wan Mimi; Hamid, Hamzaini Abdul


    Content-based medical image retrieval (CBMIR) system enables medical practitioners to perform fast diagnosis through quantitative assessment of the visual information of various modalities. In this paper, a more robust CBMIR system that deals with both cervical and lumbar vertebrae irregularity is afforded. It comprises three main phases, namely modelling, indexing and retrieval of the vertebrae image. The main tasks in the modelling phase are to improve and enhance the visibility of the x-ray image for better segmentation results using active shape model (ASM). The segmented vertebral fractures are then characterized in the indexing phase using region-based fracture characterization (RB-FC) and contour-based fracture characterization (CB-FC). Upon a query, the characterized features are compared to the query image. Effectiveness of the retrieval phase is determined by its retrieval, thus, we propose an integration of the predictor model based cross validation neural network (PMCVNN) and similarity matching (SM) in this stage. The PMCVNN task is to identify the correct vertebral irregularity class through classification allowing the SM process to be more efficient. Retrieval performance between the proposed and the standard retrieval architectures are then compared using retrieval precision (Pr@M) and average group score (AGS) measures. Experimental results show that the new integrated retrieval architecture performs better than those of the standard CBMIR architecture with retrieval results of cervical (AGS > 87%) and lumbar (AGS > 82%) datasets. The proposed CBMIR architecture shows encouraging results with high Pr@M accuracy. As a result, images from the same visualization class are returned for further used by the medical personnel.

  11. An index for plant water deficit based on root-weighted soil water content (United States)

    Shi, Jianchu; Li, Sen; Zuo, Qiang; Ben-Gal, Alon


    Governed by atmospheric demand, soil water conditions and plant characteristics, plant water status is dynamic, complex, and fundamental to efficient agricultural water management. To explore a centralized signal for the evaluation of plant water status based on soil water status, two greenhouse experiments investigating the effect of the relative distribution between soil water and roots on wheat and rice were conducted. Due to the significant offset between the distributions of soil water and roots, wheat receiving subsurface irrigation suffered more from drought than wheat under surface irrigation, even when the arithmetic averaged soil water content (SWC) in the root zone was higher. A significant relationship was found between the plant water deficit index (PWDI) and the root-weighted (rather than the arithmetic) average SWC over root zone. The traditional soil-based approach for the estimation of PWDI was improved by replacing the arithmetic averaged SWC with the root-weighted SWC to take the effect of the relative distribution between soil water and roots into consideration. These results should be beneficial for scheduling irrigation, as well as for evaluating plant water consumption and root density profile.

  12. Electrical properties of multiphase composites based on carbon nanotubes and an optimized clay content (United States)

    Egiziano, Luigi; Lamberti, Patrizia; Spinelli, Giovanni; Tucci, Vincenzo; Guadagno, Liberata; Vertuccio, Luigi


    The experimental results concerning the characterization of a multiphase nanocomposite systems based on epoxy matrix, loaded with different amount of multi-walled carbon nanotubes (MWCNTs) and an optimized Hydrotalcite (HT) clay content (i.e. 0.6 wt%), duly identified by an our previous theoretical study based on Design of Experiment (DoE), are presented. Dynamic-mechanical analysis (DMA) reveal that even the introduction of higher HT loading (up to 1%wt) don't affect significantly the mechanical properties of the nanocomposites while morphological investigations show an effective synergy between clay and carbon nanotubes that leads to peculiar micro/nanostructures that favor the creation of the electrical conductive network inside the insulating resin. An electrical characterization is carried out in terms of DC electrical conductivity, percolation threshold (EPT) and frequency response in the range 10Hz-1MHz. In particular, the measurements of the DC conductivity allow to obtain the typical "percolation" curve also found for classical CNT-polymer mixtures and a value of about 2 S/m for the electrical conductivity is achieved at the highest considered CNTs concentration (i.e. 1 wt%). The results suggest that multiphase nanocomposites obtained incorporating dispersive nanofillers, in addition to the conductive one, may be a valid alternative to the polymer blends, to improve the properties of the polymeric materials thus able to meet high demands, particularly concerning their mechanical and thermal stability and electrical features required in the aircraft engineering.

  13. [Effectively predicting soluble solids content in apple based on hyperspectral imaging]. (United States)

    Huang, Wen-Qian; Li, Jiang-Bo; Chen, Li-Ping; Guo, Zhi-Ming


    It is very important to extract effective wavelengths for quantitative analysis of fruit internal quality based on hyperspectral imaging. In the present study, genetic algorithm (GA), successive projections algorithm (SPA) and GA-SPA combining algorithm were used for extracting effective wavelengths from 400-1 000 nm hyperspectral images of Yantai "Fuji" apples, respectively. Based on the effective wavelengths selected by GA, SPA and GA-SPA, different models were built and compared for predicting soluble solids content (SSC) of apple using partial least squares (PLS), least squared support vector machine (LS-SVM) and multiple linear regression (MLR), respectively. A total of 160 samples were prepared for the calibration (n = 120) and prediction (n = 40) sets. Among all the models, the SPA-MLR achieved the best results, where Rp(2), RMSEP and RPD were 0.950 1, 0.308 7 and 4.476 6 respectively. Results showed that SPA can be effectively used for selecting the effective wavelengths from hyperspectral data. And, SPA-MLR is an optimal modeling method for prediction of apple SSC. Furthermore, less effective wavelengths and simple and easily-interpreted MLR model show that the SPA-MLR model has a great potential for online detection of apple SSC and development of a portable instrument.

  14. Challenges of teacher-based clinical evaluation from nursing students' point of view: Qualitative content analysis. (United States)

    Sadeghi, Tabandeh; Seyed Bagheri, Seyed Hamid


    Clinical evaluation is very important in the educational system of nursing. One of the most common methods of clinical evaluation is evaluation by the teacher, but the challenges that students would face in this evaluation method, have not been mentioned. Thus, this study aimed to explore the experiences and views of nursing students about the challenges of teacher-based clinical evaluation. This study was a descriptive qualitative study with a qualitative content analysis approach. Data were gathered through semi-structured focused group sessions with undergraduate nursing students who were passing their 8 th semester at Rafsanjan University of Medical Sciences. Date were analyzed using Graneheim and Lundman's proposed method. Data collection and analysis were concurrent. According to the findings, "factitious evaluation" was the main theme of study that consisted of three categories: "Personal preferences," "unfairness" and "shirking responsibility." These categories are explained using quotes derived from the data. According to the results of this study, teacher-based clinical evaluation would lead to factitious evaluation. Thus, changing this approach of evaluation toward modern methods of evaluation is suggested. The finding can help nursing instructors to get a better understanding of the nursing students' point of view toward this evaluation approach and as a result could be planning for changing of this approach.

  15. Enzyme-based glucose delivery as a high content screening tool in yeast-based whole-cell biocatalysis. (United States)

    Grimm, T; Grimm, M; Klat, R; Neubauer, A; Palela, M; Neubauer, P


    The influence of glucose release on growth and biotransformation of yeasts was examined by using the medium EnBase® Flo in shake flasks. The medium contains a polysaccharide acting as substrate, which is degraded to glucose by the addition of an enzyme. In the present paper, this medium was adapted for the cultivation of yeasts by increasing the complex components (booster) and the enzyme concentrations to guarantee a higher glucose release rate. Important changes were an increase of the complex component booster to 10-15% and an increased glucose release by increasing the enzyme content to 15 U L(-1). The 20 yeasts investigated in the present work showed an improvement of growth and biomass production when cultivated with the EnBase medium in comparison to yeast extract dextrose (YED) medium. Values of optical densities (OD(600)) of approximately 40 AU (corresponding to over 60 g L(-1) wet cell weight) were achieved for all 20 yeast strains tested. During the following screening of the yeasts in whole-cell biotransformation, an improvement of the conversion for 19 out of the 20 yeasts cultivated with the EnBase Flo medium could be observed. The biomass from the EnBase Flo cultivation showed a higher conversion activity in the reduction of 2-butanone to (R/S)-2-butanol. The enantioselectivity (ee) of 15 yeast strains showed an improvement by using the EnBase medium. The number of yeasts with an ee >97% increased from zero with YED to six with EnBase medium. Thus, the use of a glucose release cultivation strategy in the screening process for transformation approaches provides significant benefits compared to standard batch approaches.

  16. Searching for document contents in an IHE-XDS EHR architecture via archetype-based indexing of document types. (United States)

    Rinner, Christoph; Kohler, Michael; Saboor, Samrend; Huebner-Bloder, Gudrun; Ammenwerth, Elske; Duftschmid, Georg


    The shared EHR (electronic health record) system architecture IHE XDS is widely adopted internationally. It ensures a high level of data privacy via distributed storage of EHR documents. Its standard search capabilities, however, are limited; it only allows a retrieval of complete documents by querying a restricted set of document metadata. Existing approaches that aim to extend XDS queries to document contents typically employ a central index of document contents. Hereby they undermine XDS' basic characteristic of distributed data storage. To avoid data privacy concerns, we propose querying EHR contents in XDS by indexing document types based on Archetypes instead. We successfully tested our approach within the ISO/EN 13606 standard.

  17. Identify Web-page Content meaning using Knowledge based System for Dual Meaning Words


    Sinha, Sukanta; Dattagupta, Rana; Mukhopadhyay, Debajyoti


    Meaning of Web-page content plays a big role while produced a search result from a search engine. Most of the cases Web-page meaning stored in title or meta-tag area but those meanings do not always match with Web-page content. To overcome this situation we need to go through the Web-page content to identify the Web-page meaning. In such cases, where Webpage content holds dual meaning words that time it is really difficult to identify the meaning of the Web-page. In this paper, we are introdu...

  18. A Review of Research on Content-Based Foreign/Second Language Education in US K-12 Contexts (United States)

    Tedick, Diane J.; Wesely, Pamela M.


    This review of the extant research literature focuses on research about content-based language instruction (CBI) programmes in K-12 foreign/second language education in the USA. The review emphasises studies on one-way language immersion (OWI) and two-way language immersion (TWI) programmes, which are school-based and subject matter-driven. OWI…

  19. Family-based childhood obesity prevention interventions: a systematic review and quantitative content analysis. (United States)

    Ash, Tayla; Agaronov, Alen; Young, Ta'Loria; Aftosmes-Tobio, Alyssa; Davison, Kirsten K


    A wide range of interventions has been implemented and tested to prevent obesity in children. Given parents' influence and control over children's energy-balance behaviors, including diet, physical activity, media use, and sleep, family interventions are a key strategy in this effort. The objective of this study was to profile the field of recent family-based childhood obesity prevention interventions by employing systematic review and quantitative content analysis methods to identify gaps in the knowledge base. Using a comprehensive search strategy, we searched the PubMed, PsycIFO, and CINAHL databases to identify eligible interventions aimed at preventing childhood obesity with an active family component published between 2008 and 2015. Characteristics of study design, behavioral domains targeted, and sample demographics were extracted from eligible articles using a comprehensive codebook. More than 90% of the 119 eligible interventions were based in the United States, Europe, or Australia. Most interventions targeted children 2-5 years of age (43%) or 6-10 years of age (35%), with few studies targeting the prenatal period (8%) or children 14-17 years of age (7%). The home (28%), primary health care (27%), and community (33%) were the most common intervention settings. Diet (90%) and physical activity (82%) were more frequently targeted in interventions than media use (55%) and sleep (20%). Only 16% of interventions targeted all four behavioral domains. In addition to studies in developing countries, racial minorities and non-traditional families were also underrepresented. Hispanic/Latino and families of low socioeconomic status were highly represented. The limited number of interventions targeting diverse populations and obesity risk behaviors beyond diet and physical activity inhibit the development of comprehensive, tailored interventions. To ensure a broad evidence base, more interventions implemented in developing countries and targeting racial

  20. Comparing features sets for content-based image retrieval in a medical-case database (United States)

    Muller, Henning; Rosset, Antoine; Vallee, Jean-Paul; Geissbuhler, Antoine


    Content-based image retrieval systems (CBIRSs) have frequently been proposed for the use in medical image databases and PACS. Still, only few systems were developed and used in a real clinical environment. It rather seems that medical professionals define their needs and computer scientists develop systems based on data sets they receive with little or no interaction between the two groups. A first study on the diagnostic use of medical image retrieval also shows an improvement in diagnostics when using CBIRSs which underlines the potential importance of this technique. This article explains the use of an open source image retrieval system (GIFT - GNU Image Finding Tool) for the retrieval of medical images in the medical case database system CasImage that is used in daily, clinical routine in the university hospitals of Geneva. Although the base system of GIFT shows an unsatisfactory performance, already little changes in the feature space show to significantly improve the retrieval results. The performance of variations in feature space with respect to color (gray level) quantizations and changes in texture analysis (Gabor filters) is compared. Whereas stock photography relies mainly on colors for retrieval, medical images need a large number of gray levels for successful retrieval, especially when executing feedback queries. The results also show that a too fine granularity in the gray levels lowers the retrieval quality, especially with single-image queries. For the evaluation of the retrieval peformance, a subset of the entire case database of more than 40,000 images is taken with a total of 3752 images. Ground truth was generated by a user who defined the expected query result of a perfect system by selecting images relevant to a given query image. The results show that a smaller number of gray levels (32 - 64) leads to a better retrieval performance, especially when using relevance feedback. The use of more scales and directions for the Gabor filters in the

  1. Teachers' Technological Pedagogical Content Knowledge and Learning Activity Types: Curriculum-Based Technology Integration Reframed (United States)

    Harris, Judith; Mishra, Punya; Koehler, Matthew


    In this paper we critically analyze extant approaches to technology integration in teaching, arguing that many current methods are technocentric, often omitting sufficient consideration of the dynamic and complex relationships among content, technology, pedagogy, and context. We recommend using the technology, pedagogy, and content knowledge…

  2. Design of Open Content Social Learning Based on the Activities of Learner and Similar Learners (United States)

    John, Benneaser; Jayakumar, J.; Thavavel, V.; Arumugam, Muthukumar; Poornaselvan, K. J.


    Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. In an effort to close this gap, the authors…

  3. A Learning Content Authoring Approach Based on Semantic Technologies and Social Networking: An Empirical Study (United States)

    Nesic, Sasa; Gasevic, Dragan; Jazayeri, Mehdi; Landoni, Monica


    Semantic web technologies have been applied to many aspects of learning content authoring including semantic annotation, semantic search, dynamic assembly, and personalization of learning content. At the same time, social networking services have started to play an important role in the authoring process by supporting authors' collaborative…

  4. The effects of transparency on trust in and acceptance of a content-based art recommender

    NARCIS (Netherlands)

    Cramer, H.S.M.; Evers, V.; Ramlal, S.; van Someren, M; Rutledge, L.; Stash, N.; Aroyo, L.M.; Wielinga, B.J.


    The increasing availability of (digital) cultural heritage artefacts offers great potential for increased access to art content, but also necessitates tools to help users deal with such abundance of information. User-adaptive art recommender systems aim to present their users with art content

  5. Give-and-take based peer-to-peer content distribution networks

    Indian Academy of Sciences (India)

    Abstract. Content Distribution Networks (CDNs) are widely used to distribute data to large number of users. Traditionally, content is being replicated among a number of surrogate servers, leading to high operational costs. In this context, Peer-to-Peer (P2P). CDNs have emerged as a viable alternative. An issue of concern in ...

  6. Give-and-take based peer-to-peer content distribution networks

    Indian Academy of Sciences (India)

    Content Distribution Networks (CDNs) are widely used to distribute data to large number of users. Traditionally, content is being replicated among a number of surrogate servers, leading to high operational costs. In this context, Peer-to-Peer (P2P) CDNs have emerged as a viable alternative. An issue of concern in P2P ...

  7. Ionospheric earthquake effects detection based on Total Electron Content (TEC) GPS Correlation (United States)

    Sunardi, Bambang; Muslim, Buldan; Eka Sakya, Andi; Rohadi, Supriyanto; Sulastri; Murjaya, Jaya


    Advances in science and technology showed that ground-based GPS receiver was able to detect ionospheric Total Electron Content (TEC) disturbances caused by various natural phenomena such as earthquakes. One study of Tohoku (Japan) earthquake, March 11, 2011, magnitude M 9.0 showed TEC fluctuations observed from GPS observation network spread around the disaster area. This paper discussed the ionospheric earthquake effects detection using TEC GPS data. The case studies taken were Kebumen earthquake, January 25, 2014, magnitude M 6.2, Sumba earthquake, February 12, 2016, M 6.2 and Halmahera earthquake, February 17, 2016, M 6.1. TEC-GIM (Global Ionosphere Map) correlation methods for 31 days were used to monitor TEC anomaly in ionosphere. To ensure the geomagnetic disturbances due to solar activity, we also compare with Dst index in the same time window. The results showed anomalous ratio of correlation coefficient deviation to its standard deviation upon occurrences of Kebumen and Sumba earthquake, but not detected a similar anomaly for the Halmahera earthquake. It was needed a continous monitoring of TEC GPS data to detect the earthquake effects in ionosphere. This study giving hope in strengthening the earthquake effect early warning system using TEC GPS data. The method development of continuous TEC GPS observation derived from GPS observation network that already exists in Indonesia is needed to support earthquake effects early warning systems.

  8. An efficient similarity measure for content based image retrieval using memetic algorithm

    Directory of Open Access Journals (Sweden)

    Mutasem K. Alsmadi


    Full Text Available Content based image retrieval (CBIR systems work by retrieving images which are related to the query image (QI from huge databases. The available CBIR systems extract limited feature sets which confine the retrieval efficacy. In this work, extensive robust and important features were extracted from the images database and then stored in the feature repository. This feature set is composed of color signature with the shape and color texture features. Where, features are extracted from the given QI in the similar fashion. Consequently, a novel similarity evaluation using a meta-heuristic algorithm called a memetic algorithm (genetic algorithm with great deluge is achieved between the features of the QI and the features of the database images. Our proposed CBIR system is assessed by inquiring number of images (from the test dataset and the efficiency of the system is evaluated by calculating precision-recall value for the results. The results were superior to other state-of-the-art CBIR systems in regard to precision.

  9. Keyframes Global Map Establishing Method for Robot Localization through Content-Based Image Matching

    Directory of Open Access Journals (Sweden)

    Tianyang Cao


    Full Text Available Self-localization and mapping are important for indoor mobile robot. We report a robust algorithm for map building and subsequent localization especially suited for indoor floor-cleaning robots. Common methods, for example, SLAM, can easily be kidnapped by colliding or disturbed by similar objects. Therefore, keyframes global map establishing method for robot localization in multiple rooms and corridors is needed. Content-based image matching is the core of this method. It is designed for the situation, by establishing keyframes containing both floor and distorted wall images. Image distortion, caused by robot view angle and movement, is analyzed and deduced. And an image matching solution is presented, consisting of extraction of overlap regions of keyframes extraction and overlap region rebuild through subblocks matching. For improving accuracy, ceiling points detecting and mismatching subblocks checking methods are incorporated. This matching method can process environment video effectively. In experiments, less than 5% frames are extracted as keyframes to build global map, which have large space distance and overlap each other. Through this method, robot can localize itself by matching its real-time vision frames with our keyframes map. Even with many similar objects/background in the environment or kidnapping robot, robot localization is achieved with position RMSE <0.5 m.

  10. Optimizing top precision performance measure of content-based image retrieval by learning similarity function

    KAUST Repository

    Liang, Ru-Ze


    In this paper we study the problem of content-based image retrieval. In this problem, the most popular performance measure is the top precision measure, and the most important component of a retrieval system is the similarity function used to compare a query image against a database image. However, up to now, there is no existing similarity learning method proposed to optimize the top precision measure. To fill this gap, in this paper, we propose a novel similarity learning method to maximize the top precision measure. We model this problem as a minimization problem with an objective function as the combination of the losses of the relevant images ranked behind the top-ranked irrelevant image, and the squared Frobenius norm of the similarity function parameter. This minimization problem is solved as a quadratic programming problem. The experiments over two benchmark data sets show the advantages of the proposed method over other similarity learning methods when the top precision is used as the performance measure.

  11. A cell-based, high content screening assay reveals activators and inhibitors of cancer cell invasion (United States)

    Quintavalle, Manuela; Elia, Leonardo; Price, Jeffrey H.; Heynen-Genel, Susanne; Courtneidge, Sara A.


    Acquisition of invasive cell behavior underlies tumor progression and metastasis. To define in more molecular detail the mechanisms underlying invasive behavior, we developed a high throughput screening strategy to quantitate invadopodia; actin-rich membrane protrusions of cancer cells which contribute to tissue invasion and matrix remodeling. We developed a high content, imaged-based assay, and tested the LOPAC 1280 collection of pharmacologically active agents. We found compounds that potently inhibited invadopodia formation without overt toxicity, as well as compounds that increased invadopodia number. One of the two compounds that increased both invadopodia number and invasive behavior was the chemotherapeutic agent paclitaxel, which has potential clinical implications for its use in the neoadjuvant and resistance settings. Several of the invasion inhibitors were annotated as cyclin-dependent kinase (cdk) inhibitors. Loss-of-function experiments determined that Cdk5 was the relevant target. We further determined that the mechanism by which Cdk5 promotes both invadopodia formation and cancer invasion is by phosphorylation and down regulation of the actin regulatory protein caldesmon. PMID:21791703

  12. Residual monomer content determination in some acrylic denture base materials and possibilities of its reduction

    Directory of Open Access Journals (Sweden)

    Kostić Milena


    Full Text Available Background/Aim. Polymethyl methacrylate is used for producing a denture basis. It is a material made by the polymerization process of methyl methacrylate. Despite of the polymerization type, there is a certain amount of free methyl methacrylate (residual monomer incorporated in the denture, which can cause irritation of the oral mucosa. The aim of this study was to determine the amount of residual monomer in four different denture base acrylic resins by liquid chromatography and the possibility of its reduction. Methods. After the polymerization, a postpolymerization treatment was performed in three different ways: in boiling water for thirty minutes, with 500 W microwaves for three minutes and in steam bath at 22º C for one to thirty days. Results. The obtained results showed that the amount of residual monomer is significantly higher in cold polymerizing acrylates (9.1-11%. The amount of residual monomer after hot polymerization was in the tolerance range (0.59- 0.86%. Conclusion. The obtained results denote a low content of residual monomer in the samples which have undergone postpolymerization treatment. A lower percent of residual monomer is established in samples undergone a hot polymerization.

  13. [Hyperspectral estimation of leaf water content for winter wheat based on grey relational analysis (GRA)]. (United States)

    Jin, Xiu-Liang; Xu, Xin-Gang; Wang, Ji-Hua; Li, Xin-Chuan; Wang, Yan; Tan, Chang-Wei; Zhu, Xin-Kai; Guo, Wen-Shan


    The objective of the present study was to compare two methods for the precision of estimating leaf water content (LWC) in winter wheat by combining stepwise regression method and partial least squares (SRM-PLS) or PLS based on the relational degree of grey relational analysis (GRA) between water vegetation indexes (WVIs) and LWC. Firstly, data utilized to analyze the grey relationships between LWC and the selected typical WVIs were used to determine the sensitivity of different WVIs to LWC. Secondly, the two methods of estimating LWC in winter wheat were compared, one was to directly use PLS and the other was to combine SRM and PLS, and then the method with the highest determination coefficient (R2) and lowest root mean square error (RMSE) was selected to estimate LWC in winter wheat. The results showed that the relationships between the first five WVI and LWC were stable by using GRA, and then LWC was estimated by using PLS and SRM-PLS at the whole stages with the R2 and RMSEs being 0.605 and 0.575, 4.75% and 7.35%, respectively. The results indicated that the estimation accuracy of LWC could be improved by using GRA firstly and then by using PLS and SRM-PLS.

  14. Validation of simulated earthquake ground motions based on evolution of intensity and frequency content (United States)

    Rezaeian, Sanaz; Zhong, Peng; Hartzell, Stephen; Zareian, Farzin


    Simulated earthquake ground motions can be used in many recent engineering applications that require time series as input excitations. However, applicability and validation of simulations are subjects of debate in the seismological and engineering communities. We propose a validation methodology at the waveform level and directly based on characteristics that are expected to influence most structural and geotechnical response parameters. In particular, three time-dependent validation metrics are used to evaluate the evolving intensity, frequency, and bandwidth of a waveform. These validation metrics capture nonstationarities in intensity and frequency content of waveforms, making them ideal to address nonlinear response of structural systems. A two-component error vector is proposed to quantify the average and shape differences between these validation metrics for a simulated and recorded ground-motion pair. Because these metrics are directly related to the waveform characteristics, they provide easily interpretable feedback to seismologists for modifying their ground-motion simulation models. To further simplify the use and interpretation of these metrics for engineers, it is shown how six scalar key parameters, including duration, intensity, and predominant frequency, can be extracted from the validation metrics. The proposed validation methodology is a step forward in paving the road for utilization of simulated ground motions in engineering practice and is demonstrated using examples of recorded and simulated ground motions from the 1994 Northridge, California, earthquake.

  15. Framing Autism: A Content Analysis of Five Major News Frames in U.S.-Based Newspapers. (United States)

    Wendorf Muhamad, Jessica; Yang, Fan


    The portrayal of child autism-related news stories has become a serious issue in the United States, yet few studies address this from media framing perspective. To fill this gap in the literature, this study examined the applicability of a media framing scale (Semetko & Valkenburg, 2000) for the deductive examination of autism-related news stories in U.S.-based newspapers. Under the theoretical framework of framing theory, a content analysis of news stories (N = 413) was conducted to investigate the presence of the five news frames using an established questionnaire. Differentiating between local and national news outlets, the following five news frames were measured: (a) attribution of responsibility, (b) human interest, (c) conflict, (d) morality, and (e) economic consequences. Findings revealed that news stories about autism most frequently fell within the human interest frame. Furthermore, the study shed light on how local and national newspapers might differ in framing autism-related news pieces and in their placement of the autism-related story within the newspaper (e.g., front page section, community section).

  16. Nuclear DNA content, base composition, heterochromatin and rDNA in Picea omorika and Picea abies. (United States)

    Siljak-Yakovlev, S.; Cerbah, M.; Coulaud, J.; Stoian, V.; Brown, S. C.; Zoldos, V.; Jelenic, S.; Papes, D.


    Two closely related spruces, Picea abies and Picea omorika, a Balkan paleoendemic species, often share habitats, yet never hybridize in nature. The present study adresses their characteristics such as nuclear DNA content, base composition, heterochromatin and rDNA pattern. The genome size of P. abies was 10% larger than that of P. omorika when assessed by flow cytometry, respectively 2C=37.2 pg and 33.8 pg; although when estimated as total chromosome length it was virtually the same. The heterochromatin Chromomycin-A (CMA)/ DAPI fluorochrome banding patterns of both P. abies and P. omorikaare given here for the first time. Simultaneous FISH (fluorescent in situ hybridization) using 18S-26S and 5S rDNA probes revealed 16 18S rDNA sites in P. omorika, 12 18S rDNA sites in P. abies, and a single 5S rDNA locus in both species. The genomes have about 41% GC. The number and position of CMA/DAPI bands and rDNA loci provide good chromosome markers to clarify the karyotypes of the two species.

  17. Toward content-based image retrieval with deep convolutional neural networks (United States)

    Sklan, Judah E. S.; Plassard, Andrew J.; Fabbri, Daniel; Landman, Bennett A.


    Content-based image retrieval (CBIR) offers the potential to identify similar case histories, understand rare disorders, and eventually, improve patient care. Recent advances in database capacity, algorithm efficiency, and deep Convolutional Neural Networks (dCNN), a machine learning technique, have enabled great CBIR success for general photographic images. Here, we investigate applying the leading ImageNet CBIR technique to clinically acquired medical images captured by the Vanderbilt Medical Center. Briefly, we (1) constructed a dCNN with four hidden layers, reducing dimensionality of an input scaled to 128x128 to an output encoded layer of 4x384, (2) trained the network using back-propagation 1 million random magnetic resonance (MR) and computed tomography (CT) images, (3) labeled an independent set of 2100 images, and (4) evaluated classifiers on the projection of the labeled images into manifold space. Quantitative results were disappointing (averaging a true positive rate of only 20%); however, the data suggest that improvements would be possible with more evenly distributed sampling across labels and potential re-grouping of label structures. This preliminary effort at automated classification of medical images with ImageNet is promising, but shows that more work is needed beyond direct adaptation of existing techniques.

  18. A content-based digital image watermarking scheme resistant to local geometric distortions

    International Nuclear Information System (INIS)

    Yang, Hong-ying; Chen, Li-li; Wang, Xiang-yang


    Geometric distortion is known as one of the most difficult attacks to resist, as it can desynchronize the location of the watermark and hence cause incorrect watermark detection. Geometric distortion can be decomposed into two classes: global affine transforms and local geometric distortions. Most countermeasures proposed in the literature only address the problem of global affine transforms. It is a challenging problem to design a robust image watermarking scheme against local geometric distortions. In this paper, we propose a new content-based digital image watermarking scheme with good visual quality and reasonable resistance against local geometric distortions. Firstly, the robust feature points, which can survive various common image processing and global affine transforms, are extracted by using a multi-scale SIFT (scale invariant feature transform) detector. Then, the affine covariant local feature regions (LFRs) are constructed adaptively according to the feature scale and local invariant centroid. Finally, the digital watermark is embedded into the affine covariant LFRs by modulating the magnitudes of discrete Fourier transform (DFT) coefficients. By binding the watermark with the affine covariant LFRs, the watermark detection can be done without synchronization error. Experimental results show that the proposed image watermarking is not only invisible and robust against common image processing operations such as sharpening, noise addition, and JPEG compression, etc, but also robust against global affine transforms and local geometric distortions

  19. A framing theory-based content analysis of a Turkish newspaper's coverage of nanotechnology (United States)

    Şenocak, Erdal


    This study aims at examining how nanotechnology is covered in Turkish print media. As an initial part of this objective, a total of 76 articles derived from a widespread national newspaper were analyzed based on the framing theory. These articles were analyzed using both quantitative and qualitative traditions of content analysis; however, the quantitative method was the primary form of investigation. The analyses showed that the first news about nanotechnology appeared in 1991 and the frequencies of articles had increased in the subsequent years; but the number of articles had decreased after a while. The findings demonstrated a remarkable positive tone in the articles; there were only a few articles in negative tones and these articles were published in the first years of nanotechnology news. It was further found that the articles were mostly concerned with the implementations of nanotechnology, such as research and education centers, medical, and electronics. The study also investigated the presentation style of nanotechnology news. In other words, it investigated how the articles were framed. The results showed that the articles were mostly framed with scientific researches or discoveries and future expectations.

  20. Combining semantic technologies with a content-based image retrieval system - Preliminary considerations (United States)

    Chmiel, P.; Ganzha, M.; Jaworska, T.; Paprzycki, M.


    Nowadays, as a part of systematic growth of volume, and variety, of information that can be found on the Internet, we observe also dramatic increase in sizes of available image collections. There are many ways to help users browsing / selecting images of interest. One of popular approaches are Content-Based Image Retrieval (CBIR) systems, which allow users to search for images that match their interests, expressed in the form of images (query by example). However, we believe that image search and retrieval could take advantage of semantic technologies. We have decided to test this hypothesis. Specifically, on the basis of knowledge captured in the CBIR, we have developed a domain ontology of residential real estate (detached houses, in particular). This allows us to semantically represent each image (and its constitutive architectural elements) represented within the CBIR. The proposed ontology was extended to capture not only the elements resulting from image segmentation, but also "spatial relations" between them. As a result, a new approach to querying the image database (semantic querying) has materialized, thus extending capabilities of the developed system.

  1. A Logistic Based Mathematical Model to Optimize Duplicate Elimination Ratio in Content Defined Chunking Based Big Data Storage System

    Directory of Open Access Journals (Sweden)

    Longxiang Wang


    Full Text Available Deduplication is an efficient data reduction technique, and it is used to mitigate the problem of huge data volume in big data storage systems. Content defined chunking (CDC is the most widely used algorithm in deduplication systems. The expected chunk size is an important parameter of CDC, and it influences the duplicate elimination ratio (DER significantly. We collected two realistic datasets to perform an experiment. The experimental results showed that the current approach of setting the expected chunk size to 4 KB or 8 KB empirically cannot optimize DER. Therefore, we present a logistic based mathematical model to reveal the hidden relationship between the expected chunk size and the DER. This model provides a theoretical basis for optimizing DER by setting the expected chunk size reasonably. We used the collected datasets to verify this model. The experimental results showed that the R2 values, which describe the goodness of fit, are above 0.9, validating the correctness of this mathematic model. Based on the DER model, we discussed how to make DER close to the optimum by setting the expected chunk size reasonably.

  2. Optimization of reference library used in content-based medical image retrieval scheme

    International Nuclear Information System (INIS)

    Park, Sang Cheol; Sukthankar, Rahul; Mummert, Lily; Satyanarayanan, Mahadev; Zheng Bin


    Building an optimal image reference library is a critical step in developing the interactive computer-aided detection and diagnosis (I-CAD) systems of medical images using content-based image retrieval (CBIR) schemes. In this study, the authors conducted two experiments to investigate (1) the relationship between I-CAD performance and size of reference library and (2) a new reference selection strategy to optimize the library and improve I-CAD performance. The authors assembled a reference library that includes 3153 regions of interest (ROI) depicting either malignant masses (1592) or CAD-cued false-positive regions (1561) and an independent testing data set including 200 masses and 200 false-positive regions. A CBIR scheme using a distance-weighted K-nearest neighbor algorithm is applied to retrieve references that are considered similar to the testing sample from the library. The area under receiver operating characteristic curve (A z ) is used as an index to evaluate the I-CAD performance. In the first experiment, the authors systematically increased reference library size and tested I-CAD performance. The result indicates that scheme performance improves initially from A z =0.715 to 0.874 and then plateaus when the library size reaches approximately half of its maximum capacity. In the second experiment, based on the hypothesis that a ROI should be removed if it performs poorly compared to a group of similar ROIs in a large and diverse reference library, the authors applied a new strategy to identify 'poorly effective' references. By removing 174 identified ROIs from the reference library, I-CAD performance significantly increases to A z =0.914 (p<0.01). The study demonstrates that increasing reference library size and removing poorly effective references can significantly improve I-CAD performance

  3. Automated assessment of diabetic retinopathy severity using content-based image retrieval in multimodal fundus photographs. (United States)

    Quellec, Gwénolé; Lamard, Mathieu; Cazuguel, Guy; Bekri, Lynda; Daccache, Wissam; Roux, Christian; Cochener, Béatrice


    Recent studies on diabetic retinopathy (DR) screening in fundus photographs suggest that disagreements between algorithms and clinicians are now comparable to disagreements among clinicians. The purpose of this study is to (1) determine whether this observation also holds for automated DR severity assessment algorithms, and (2) show the interest of such algorithms in clinical practice. A dataset of 85 consecutive DR examinations (168 eyes, 1176 multimodal eye fundus photographs) was collected at Brest University Hospital (Brest, France). Two clinicians with different experience levels determined DR severity in each eye, according to the International Clinical Diabetic Retinopathy Disease Severity (ICDRS) scale. Based on Cohen's kappa (κ) measurements, the performance of clinicians at assessing DR severity was compared to the performance of state-of-the-art content-based image retrieval (CBIR) algorithms from our group. At assessing DR severity in each patient, intraobserver agreement was κ = 0.769 for the most experienced clinician. Interobserver agreement between clinicians was κ = 0.526. Interobserver agreement between the most experienced clinicians and the most advanced algorithm was κ = 0.592. Besides, the most advanced algorithm was often able to predict agreements and disagreements between clinicians. Automated DR severity assessment algorithms, trained to imitate experienced clinicians, can be used to predict when young clinicians would agree or disagree with their more experienced fellow members. Such algorithms may thus be used in clinical practice to help validate or invalidate their diagnoses. CBIR algorithms, in particular, may also be used for pooling diagnostic knowledge among peers, with applications in training and coordination of clinicians' prescriptions.

  4. Application of autoclaving-cooling cycling treatment to improve resistant starch content of corn-based rice analogues (United States)

    Hidayat, B.; Muslihudin, M.; Akmal, S.


    Resistant starch is one important component determining the characteristics of a functional food. The aim of the research was to determine the cooling time optimum in the autoclaving-cooling treatment to increase the resistance starch content corn-based rice analogues, with 6 level of cooling time (0 hours/control, 12 hours, 24 hours, 36 hours, 48 hours and 60 hours). The results showed that cooling at 4°C for 60 hours would increase the resistant starch content (6.27% to 15.38%), dietary fiber content (14.53% to 20.17%); and decrease the digestible starch content (61.81% to 52.70%). Cooling time level at 4°C for 24 hours, would increase the sensory score of corn-based rice analogues then back down until cooling time level of 60 hours. Microscopic analysis of granular structure using SEM indicated that cooling time had a linear correlation with cracks intensity on the granule surface of the corn-based rice analogues. The high content of resistant starch showed that the application of cooling time level at 4°C for 24 hours would improve the functional properties of corn-based rice analogues with sensory characteristics remain favorable to panelists.

  5. Pattern recognition of acorns from different Quercus species based on oil content and fatty acid profile

    Directory of Open Access Journals (Sweden)

    Abreu, José M.F.


    Full Text Available The aim of this study was (i to characterize different species of Quercus genus and (ii to discriminate among them on the basis of the content and fatty acid composition of the oil in their fruits and/or their morphological aspects via pattern recognition techniques (Principal Component Analysis, PCA, Cluster Analysis, CA, and Discriminant Analysis, DA. Quercus rotundifolia Lam., Quercus suber L. and Quercus pyrenaica Willd., grown in the same stand in the centre of Portugal, were investigated. When oil content and respective fatty acid composition were used to characterize samples, well-separated groups corresponding to each of the species were observed by PCA and confirmed by CA and DA. The ‘‘width’’ and ‘‘length’’ of acorns exhibited a low discriminant power. Acorns from Q. rotundifolia showed the highest average oil content followed by Q. suber and Q. pyrenaica acorns (9.1, 5.2 and 3.8%, respectively. Fatty acid profiles of Q. rotundifolia and Q. suber oils are similar to olive oil while the oil from Q. pyrenaica acorns is more unsaturated.El objetivo de este estudio fué (i la caracterización de diferentes especies del género Quercus y (ii la clasificación de las mismas en base al contenido y composición de ácidos grasos del aceite de sus frutos y/o en sus caracteres morfológicos, via técnicas de patrón de reconocimiento (Análisis de Componentes Principales, ACP, Análisis de Cluster, AC, y Análisis Discriminante, AD. Se han estudiado Quercus rotundifolia Lam., Quercus suber L. y Quercus pyrenaica Willd., pertenecientes a la misma zona del centro de Portugal. Al emplear el contenido de aceite y sus respectivas composiciones de ácidos grasos para caracterizar a las muestras, el ACP reveló grupos bien separados correspondientes a cada especie, los cuales, a su vez, se confirmarón con el AC y el AD. El ‘‘ancho’’ y ‘‘longitud’’ de las bellotas

  6. The Role of Content in Inquiry-Based Elementary Science Lessons: An Analysis of Teacher Beliefs and Enactment (United States)

    Furtak, Erin Marie; Alonzo, Alicia C.


    The Trends in International Mathematics and Science Study (TIMSS) Video Study explored instructional practices in the United States (US) in comparison with other countries that ranked higher on the 1999 TIMSS assessment, and revealed that 8th grade science teachers in the US emphasize activities over content during lessons (Roth et al. 2006). This study applies the content framework from the TIMSS Video Study to a sample of 28 3rd grade teachers enacting an inquiry-based unit on floating and sinking, and seeks a deeper understanding of teachers’ practices through analysis of interviews with those teachers. Transcripts of observed lessons were coded according to the TIMSS framework for types of content, and transcripts of teacher interviews were coded to capture the ways in which teachers described their role in and purposes for teaching science, particularly with respect to the floating and sinking unit. Results indicate that teachers focused more on canonical, procedural and experimental knowledge during lessons than on real-world connections and the nature of science; however, none of the types of content received major emphasis in a majority of the classrooms in the sample. During interviews, teachers described their practice in ways that prioritized helping students to like science over specific content outcomes. The study suggests that elementary school teachers’ emphasis on doing and feeling during inquiry-based lessons may interfere with teaching of content.

  7. Life cycle assessment of microalgae-based aviation fuel: Influence of lipid content with specific productivity and nitrogen nutrient effects. (United States)

    Guo, Fang; Zhao, Jing; A, Lusi; Yang, Xiaoyi


    The aim of this work is to compare the life cycle assessments of low-N and normal culture conditions for a balance between the lipid content and specific productivity. In order to achieve the potential contribution of lipid content to the life cycle assessment, this study established relationships between lipid content (nitrogen effect) and specific productivity based on three microalgae strains including Chlorella, Isochrysis and Nannochloropsis. For microalgae-based aviation fuel, the effects of the lipid content on fossil fuel consumption and greenhouse gas (GHG) emissions are similar. The fossil fuel consumption (0.32-0.68MJ·MJ -1 MBAF) and GHG emissions (17.23-51.04gCO 2 e·MJ -1 MBAF) increase (59.70-192.22%) with the increased lipid content. The total energy input decreases (2.13-3.08MJ·MJ -1 MBAF, 14.91-27.95%) with the increased lipid content. The LCA indicators increased (0-47.10%) with the decreased nitrogen recovery efficiency (75-50%). Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Technological Pedagogical Content Knowledge of Prospective Mathematics Teacher in Three Dimensional Material Based on Sex Differences (United States)

    Aqib, M. A.; Budiarto, M. T.; Wijayanti, P.


    The effectiveness of learning in this era can be seen from 3 factors such as: technology, content, and pedagogy that covered in Technological Pedagogical Content Knowledge (TPCK). This research was a qualitative research which aimed to describe each domain from TPCK include Content Knowledge, Pedagogical Knowledge, Pedagogical Content Knowledge, Technological Knowledge, Technological Content Knowledge, Technological Pedagogical Knowledge and Technological, Pedagogical, and Content Knowledge. The subjects of this research were male and female mathematics college students at least 5th semester who has almost the same ability for some course like innovative learning, innovative learning II, school mathematics I, school mathematics II, computer applications and instructional media. Research began by spreading the questionnaire of subject then continued with the assignment and interview. The obtained data was validated by time triangulation.This research has result that male and female prospective teacher was relatively same for Content Knowledge and Pedagogical Knowledge domain. While it was difference in the Technological Knowledge domain. The difference in this domain certainly has an impact on other domains that has technology components on it. Although it can be minimized by familiarizing the technology.

  9. Metal content of Dendrobaena rubida (Oligochaeta) in a base metal mining area

    Energy Technology Data Exchange (ETDEWEB)

    Ireland, M.P.


    Metal analysis of soils collected near disused lead and zinc mines showed high concentrations of total iron, zinc, lead and available lead, together with free iron. Field and experimental studies on the metal content of the earthworm Dendrobaena rubida (Savigny) living in soils of high and low metal levels showed that the earthworms probably regulated the iron and zinc content of the tissues but retained lead. It is tentatively suggested that soil calcium may influence the uptake of metals by D. rubida while the results for tissue lead content appeared to show a direct effect of calcium on lead by the regulation of endogenous tissue calcium. (auth)

  10. Facebook apps for smoking cessation: a review of content and adherence to evidence-based guidelines. (United States)

    Jacobs, Megan A; Cobb, Caroline O; Abroms, Lorien; Graham, Amanda L


    Facebook is the most popular social network site, with over 1 billion users globally. There are millions of apps available within Facebook, many of which address health and health behavior change. Facebook may represent a promising channel to reach smokers with cessation interventions via apps. To date, there have been no published reports about Facebook apps for smoking cessation. The purpose of this study was to review the features and functionality of Facebook apps for smoking cessation and to determine the extent to which they adhere to evidence-based guidelines for tobacco dependence treatment. In August 2013, we searched Facebook and three top Internet search engines using smoking cessation keywords to identify relevant Facebook apps. Resultant apps were screened for eligibility (smoking cessation-related, English language, and functioning). Eligible apps were reviewed by 2 independent coders using a standardized coding scheme. Coding included content features (interactive, informational, and social) and adherence to an established 20-item index (possible score 0-40) derived from the US Public Health Service's Clinical Practice Guidelines for Treating Tobacco Use and Dependence. We screened 22 apps for eligibility; of these, 12 underwent full coding. Only 9 apps were available on Facebook. Facebook apps fell into three broad categories: public pledge to quit (n=3), quit-date-based calculator/tracker (n=4), or a multicomponent quit smoking program (n=2). All apps incorporated interactive, informational, and social features except for two quit-date-based calculator/trackers apps (lacked informational component). All apps allowed app-related posting within Facebook (ie, on self/other Facebook profile), and four had a within-app "community" feature to enable app users to communicate with each other. Adherence index summary scores among Facebook apps were low overall (mean 15.1, SD 7.8, range 7-30), with multicomponent apps scoring the highest. There are few

  11. Comparing the quality of accessing medical literature using content-based visual and textual information retrieval (United States)

    Müller, Henning; Kalpathy-Cramer, Jayashree; Kahn, Charles E., Jr.; Hersh, William


    Content-based visual information (or image) retrieval (CBIR) has been an extremely active research domain within medical imaging over the past ten years, with the goal of improving the management of visual medical information. Many technical solutions have been proposed, and application scenarios for image retrieval as well as image classification have been set up. However, in contrast to medical information retrieval using textual methods, visual retrieval has only rarely been applied in clinical practice. This is despite the large amount and variety of visual information produced in hospitals every day. This information overload imposes a significant burden upon clinicians, and CBIR technologies have the potential to help the situation. However, in order for CBIR to become an accepted clinical tool, it must demonstrate a higher level of technical maturity than it has to date. Since 2004, the ImageCLEF benchmark has included a task for the comparison of visual information retrieval algorithms for medical applications. In 2005, a task for medical image classification was introduced and both tasks have been run successfully for the past four years. These benchmarks allow an annual comparison of visual retrieval techniques based on the same data sets and the same query tasks, enabling the meaningful comparison of various retrieval techniques. The datasets used from 2004-2007 contained images and annotations from medical teaching files. In 2008, however, the dataset used was made up of 67,000 images (along with their associated figure captions and the full text of their corresponding articles) from two Radiological Society of North America (RSNA) scientific journals. This article describes the results of the medical image retrieval task of the ImageCLEF 2008 evaluation campaign. We compare the retrieval results of both visual and textual information retrieval systems from 15 research groups on the aforementioned data set. The results show clearly that, currently

  12. Hyperspectral imaging detection of decayed honey peaches based on their chlorophyll content. (United States)

    Sun, Ye; Wang, Yihang; Xiao, Hui; Gu, Xinzhe; Pan, Leiqing; Tu, Kang


    Honey peach is a very common but highly perishable market fruit. When pathogens infect fruit, chlorophyll as one of the important components related to fruit quality, decreased significantly. Here, the feasibility of hyperspectral imaging to determine the chlorophyll content thus distinguishing diseased peaches was investigated. Three optimal wavelengths (617nm, 675nm, and 818nm) were selected according to chlorophyll content via successive projections algorithm. Partial least square regression models were established to determine chlorophyll content. Three band ratios were obtained using these optimal wavelengths, which improved spatial details, but also integrates the information of chemical composition from spectral characteristics. The band ratio values were suitable to classify the diseased peaches with 98.75% accuracy and clearly show the spatial distribution of diseased parts. This study provides a new perspective for the selection of optimal wavelengths of hyperspectral imaging via chlorophyll content, thus enabling the detection of fungal diseases in peaches. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Feature-based memory-driven attentional capture: Visual working memory content affects visual attention.

    NARCIS (Netherlands)

    Olivers, C.N.L.; Meijer, F.; Theeuwes, J.


    In 7 experiments, the authors explored whether visual attention (the ability to select relevant visual information) and visual working memory (the ability to retain relevant visual information) share the same content representations. The presence of singleton distractors interfered more strongly


    Directory of Open Access Journals (Sweden)

    Bárbara G. Amado


    Full Text Available The credibility of a testimony is a crucial component of judicial decision-making. Checklists of testimony credibility criteria are extensively used by forensic psychologists to assess the credibility of a testimony, and in many countries they are admitted as valid scientific evidence in a court of law. These checklists are based on the Undeutsch hypothesis asserting that statements derived from the memory of real-life experiences differ significantly in content and quality from fabricated or fictitious accounts. Notwithstanding, there is considerable controversy regarding the degree to which these checklists comply with the legal standards for scientific evidence to be admitted in a court of law (e.g., Daubert standards. In several countries, these checklists are not admitted as valid evidence in court, particularly in view of the inconsistent results reported in the scientific literature. Bearing in mind these issues, a meta-analysis was designed to test the Undeutsch hypothesis using the CBCA Checklist of criteria to discern between memories of self-experienced real-life events and fabricated or fictitious accounts. As the original hypothesis was formulated for populations of children, only quantitative studies with samples of children were considered for this study. In line with the Undeutsch hypothesis, the results showed a significant positive effect size that is generalizable to the total CBCA score, δ = 0.79. Moreover, a significant positive effect size was observed in each and all of the credibility criteria. In conclusion, the results corroborated the validity of the Undeutsch hypothesis and the CBCA criteria for discriminating between the memory of real self-experienced events and false or invented accounts. The results are discussed in terms of the implications for forensic practice. Con frecuencia, la evaluación de la fiabilidad de un testimonio se lleva a cabo mediante el uso de sistemas categoriales de análisis de contenido

  15. Seismic based characterization of total organic content from the marine Sembar shale, Lower Indus Basin, Pakistan (United States)

    Aziz, Omer; Hussain, Tahir; Ullah, Matee; Bhatti, Asher Samuel; Ali, Aamir


    The exploration and production of unconventional resources has increased significantly over the past few years around the globe to fulfill growing energy demands. Hydrocarbon potential of these unconventional petroleum systems depends on the presence of significant organic matter; their thermal maturity and the quality of present hydrocarbons i.e. gas or oil shale. In this work, we present a workflow for estimating Total Organic Content (TOC) from seismic reflection data. To achieve the objective of this study, we have chosen a classic potential candidate for exploration of unconventional reserves, the shale of the Sembar Formation, Lower Indus Basin, Pakistan. Our method includes the estimation of TOC from the well data using the Passey's ΔlogR and Schwarzkofp's methods. From seismic data, maps of Relative Acoustic Impedance (RAI) are extracted at maximum and minimum TOC zones within the Sembar Formation. A geostatistical trend with good correlation coefficient (R2) for cross-plots between TOC and RAI at well locations is used for estimation of seismic based TOC at the reservoir scale. Our results suggest a good calibration of TOC values from seismic at well locations. The estimated TOC values range from 1 to 4% showing that the shale of the Sembar Formation lies in the range of good to excellent unconventional oil/gas play within the context of TOC. This methodology of source rock evaluation provides a spatial distribution of TOC at the reservoir scale as compared to the conventional distribution generated from samples collected over sparse wells. The approach presented in this work has wider applications for source rock evaluation in other similar petroliferous basins worldwide.

  16. Wavelet optimization for content-based image retrieval in medical databases. (United States)

    Quellec, G; Lamard, M; Cazuguel, G; Cochener, B; Roux, C


    We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid in medical fields. In the proposed system, images are indexed in a generic fashion, without extracting domain-specific features: a signature is built for each image from its wavelet transform. These image signatures characterize the distribution of wavelet coefficients in each subband of the decomposition. A distance measure is then defined to compare two image signatures and thus retrieve the most similar images in a database when a query image is submitted by a physician. To retrieve relevant images from a medical database, the signatures and the distance measure must be related to the medical interpretation of images. As a consequence, we introduce several degrees of freedom in the system so that it can be tuned to any pathology and image modality. In particular, we propose to adapt the wavelet basis, within the lifting scheme framework, and to use a custom decomposition scheme. Weights are also introduced between subbands. All these parameters are tuned by an optimization procedure, using the medical grading of each image in the database to define a performance measure. The system is assessed on two medical image databases: one for diabetic retinopathy follow up and one for screening mammography, as well as a general purpose database. Results are promising: a mean precision of 56.50%, 70.91% and 96.10% is achieved for these three databases, when five images are returned by the system. Copyright 2009 Elsevier B.V. All rights reserved.

  17. Transmission History Based Distributed Adaptive Contention Window Adjustment Algorithm Cooperating with Automatic Rate Fallback for Wireless LANs (United States)

    Ogawa, Masakatsu; Hiraguri, Takefumi; Nishimori, Kentaro; Takaya, Kazuhiro; Murakawa, Kazuo

    This paper proposes and investigates a distributed adaptive contention window adjustment algorithm based on the transmission history for wireless LANs called the transmission-history-based distributed adaptive contention window adjustment (THAW) algorithm. The objective of this paper is to reduce the transmission delay and improve the channel throughput compared to conventional algorithms. The feature of THAW is that it adaptively adjusts the initial contention window (CWinit) size in the binary exponential backoff (BEB) algorithm used in the IEEE 802.11 standard according to the transmission history and the automatic rate fallback (ARF) algorithm, which is the most basic algorithm in automatic rate controls. This effect is to keep CWinit at a high value in a congested state. Simulation results show that the THAW algorithm outperforms the conventional algorithms in terms of the channel throughput and delay, even if the timer in the ARF is changed.

  18. Colloidal processing of Fe-based metalceramic composites with high content of ceramic reinforcement

    Directory of Open Access Journals (Sweden)

    Escribano, J. A.


    Full Text Available Major difficulties of processing metal-matrix composites by means of conventional powder metallurgy techniques are the lack of dispersion of the phases within the final microstructure. In this work, processing through colloidal techniques of the Fe-based metal-matrix composites, with a high content of a ceramic reinforcement (Ti(C,N , is presented for the first time in the literature. The colloidal approach allows a higher control of the powders packing and a better homogenization of phases since powders are mixed in a liquid medium. The chemical stability of Fe in aqueous medium determines the dispersion conditions of the mixture. The Fe slurries were formulated by optimising their zeta potential and their rheology, in order to shape bulk pieces by slip-casting. Preliminary results demonstrate the viability of this procedure, also opening new paths to the microstructural design of fully sintered Fe-based hard metal, with 50 vol. % of Ti(C,N in its composition.Las principales dificultades de procesamiento de materiales compuestos de matriz metálica por medio de técnicas convencionales pulvimetalúrgicas es la falta de dispersión entre fases dentro de la microestructura final. Este trabajo describe por primera vez el procesamiento de materiales compuestos de matriz metálica de Fe, con un alto contenido de un refuerzo cerámico (Ti (C, N, mediante técnicas coloidales. El procesamiento coloidal permite un mayor control sobre el empaquetamiento de polvos y una mejor homogeneización de las fases al mezclarse los polvos en un medio líquido. La estabilidad química del Fe en medio acuoso determina las condiciones de dispersión de la mezcla. Las suspensiones de Fe se formularon mediante la optimización del potencial zeta y de su reología, con el fin de dar forma a piezas compactas por colaje en molde de escayola. Los resultados preliminares mostrados demuestran la viabilidad del proceso, además de abrir nuevas vías al dise

  19. Visualizing Public Opinion in Croatia Based on Available Social Network Content

    Directory of Open Access Journals (Sweden)

    Ševa, Jurica


    Full Text Available In the last decade advances of computer technologies have lead towards a technological reality where the line between information consumers and information producers is blurred. This technological omnipresence allows for unprecedented data creation capabilities. Based on various data sources, it seems humans have fully embraced data-generating activities. One such activity is using online social network applications, like Facebook or Twitter in almost all aspects of their lives. One of the main features of online social network applications is perceived freedom of speech, individuality and privacy, even though every application has some special features. Therefore, content generated using these services presents the public with interesting insights in private life of people and their attitudes towards public affairs. Social network applications are active the most during specific public events aimed at the massive public. Due to its brevity, ease of use and frequency, Twitter is an interesting social network application for research and analysis. Other than allowing almost exclusively short messages (up to 140 characters, a tweet (a Twitter post can contain location of the message sender as well as a graphic to accompany the textual message. The textual part of the message may contain so called hashtags – keywords used for indexing and easy identification of a subject the message is related to. These hashtags allow us to group messages related to a specific event. Recent governmental elections held in Croatia were very popular amongst the Croatian Twitter community. Usage of hashtags allowed us to identify the right messages and thus most-used words to describe this event and potentially identify how people felt when talking, i.e. writing, about politics and the held elections. Furthermore, geolocation information, optionally embedded in a tweet, makes it possible to analyze which keywords were used in which parts of Croatia, all pertaining to

  20. A Key Gene, PLIN1, Can Affect Porcine Intramuscular Fat Content Based on Transcriptome Analysis

    Directory of Open Access Journals (Sweden)

    Bojiang Li


    Full Text Available Intramuscular fat (IMF content is an important indicator for meat quality evaluation. However, the key genes and molecular regulatory mechanisms affecting IMF deposition remain unclear. In the present study, we identified 75 differentially expressed genes (DEGs between the higher (H and lower (L IMF content of pigs using transcriptome analysis, of which 27 were upregulated and 48 were downregulated. Notably, Kyoto Encyclopedia of Genes and Genomes (KEGG enrichment analysis indicated that the DEG perilipin-1 (PLIN1 was significantly enriched in the fat metabolism-related peroxisome proliferator-activated receptor (PPAR signaling pathway. Furthermore, we determined the expression patterns and functional role of porcine PLIN1. Our results indicate that PLIN1 was highly expressed in porcine adipose tissue, and its expression level was significantly higher in the H IMF content group when compared with the L IMF content group, and expression was increased during adipocyte differentiation. Additionally, our results confirm that PLIN1 knockdown decreases the triglyceride (TG level and lipid droplet (LD size in porcine adipocytes. Overall, our data identify novel candidate genes affecting IMF content and provide new insight into PLIN1 in porcine IMF deposition and adipocyte differentiation.

  1. Single Session Web-Based Counselling: A Thematic Analysis of Content from the Perspective of the Client (United States)

    Rodda, S. N.; Lubman, D. I.; Cheetham, A.; Dowling, N. A.; Jackson, A. C.


    Despite the exponential growth of non-appointment-based web counselling, there is limited information on what happens in a single session intervention. This exploratory study, involving a thematic analysis of 85 counselling transcripts of people seeking help for problem gambling, aimed to describe the presentation and content of online…

  2. Effect of irradiation and storage time on the content of thiamine, riboflavin, and vitamin A in feeds based on cereals

    International Nuclear Information System (INIS)

    Hanis, T.; Pospisil, M.; Klir, P.; Bondy, R.


    Two diets for laboratory rat, based on cereals, were either irradiated with 25 or 50 kGy or untreated and stored under free access of air and day light at ambient temperature for 79 d. At the beginning of the experiment and at one month intervals the changes in moisture and vitamin A, thiamine and riboflavin content were evaluated. (author)

  3. Parapsychology and the neurosciences: a computer-based content analysis of abstracts in the database "MEDLINE" from 1975 to 1995. (United States)

    Fassbender, P


    A computer-based content of 109 abstracts retrieved by the subject heading "parapsychology" from the database MEDLINE for the years 1975-1995 is presented. Data were analyzed by four categories to terms denoting (1) research methods, (2) neurosciences, (3) humanities/psychodynamics, and (4) parapsychology. Results indicated a growing interest in neuroscientific and neuropsychological explanations and theories.

  4. The MediaEval 2017 AcousticBrainz Genre Task : Content-based Music Genre Recognition from Multiple Sources

    NARCIS (Netherlands)

    Bogdanov, Dmitry; Porter, Alastair; Urbano Merino, J.; Schreiber, Hendrik; Gravier, Guillaume; Bischke, Benjamin; Demarty, Claire-Hélène; Zaharieva, Maia; Riegler, Michael; Dellandrea, Emmanuel; Bogdanov, Dmitry; Sutcliffe, Richard; Jones, Gareth J.F.; Larson, Martha


    This paper provides an overview of the AcousticBrainz Genre Task

    organized as part of the MediaEval 2017 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition using genre annotations from

  5. Screening tool for oropharyngeal dysphagia in stroke - Part I: evidence of validity based on the content and response processes. (United States)

    Almeida, Tatiana Magalhães de; Cola, Paula Cristina; Pernambuco, Leandro de Araújo; Magalhães, Hipólito Virgílio; Magnoni, Carlos Daniel; Silva, Roberta Gonçalves da


    The aim of the present study was to identify the evidence of validity based on the content and response process of the Rastreamento de Disfagia Orofaríngea no Acidente Vascular Encefálico (RADAVE; "Screening Tool for Oropharyngeal Dysphagia in Stroke"). The criteria used to elaborate the questions were based on a literature review. A group of judges consisting of 19 different health professionals evaluated the relevance and representativeness of the questions, and the results were analyzed using the Content Validity Index. In order to evidence validity based on the response processes, 23 health professionals administered the screening tool and analyzed the questions using a structured scale and cognitive interview. The RADAVE structured to be applied in two stages. The first version consisted of 18 questions in stage I and 11 questions in stage II. Eight questions in stage I and four in stage II did not reach the minimum Content Validity Index, requiring reformulation by the authors. The cognitive interview demonstrated some misconceptions. New adjustments were made and the final version was produced with 12 questions in stage I and six questions in stage II. It was possible to develop a screening tool for dysphagia in stroke with adequate evidence of validity based on content and response processes. Both validity evidences obtained so far allowed to adjust the screening tool in relation to its construct. The next studies will analyze the other evidences of validity and the measures of accuracy.

  6. Research Trends in Technology-Based Learning from 2000 to 2009: A Content Analysis of Publications in Selected Journals (United States)

    Hsu, Yu-Chen; Ho, Hsin Ning Jessie; Tsai, Chin-Chung; Hwang, Gwo-Jen; Chu, Hui-Chun; Wang, Chin-Yeh; Chen, Nian-Shing


    This paper provides a content analysis of studies in technology-based learning (TBL) that were published in five Social Sciences Citation Index (SSCI) journals (i.e. "the British Journal of Educational Technology, Computers & Education, Educational Technology Research & Development, Educational Technology & Society, the Journal of Computer…

  7. Analysis of a Moodle-Based Training Program about the Pedagogical Content Knowledge of Evolution Theory and Natural Selection (United States)

    Stasinakis, Panagiotis K.; Kalogiannnakis, Michail


    In this study we aim to find out whether a training program for secondary school science teachers which was organized based on the model of Pedagogical Content Knowledge (PCK), could improve their individual PCK for a specific scientific issue. The Evolution Theory (ET) and the Natural Selection (NS) were chosen as the scientific issues of…

  8. A Technological Pedagogical Content Knowledge Based Instructional Design Model: A Third Version Implementation Study in a Technology Integration Course (United States)

    Lee, Chia-Jung; Kim, ChanMin


    This paper presents the third version of a technological pedagogical content knowledge (TPACK) based instructional design model that incorporates the distinctive, transformative, and integrative views of TPACK into a comprehensive actionable framework. Strategies of relating TPACK domains to real-life learning experiences, role-playing, and…

  9. Interdisciplinary Education and Critical Thinking in Religion and History: The Delivery of Two "Content-Based" Linked Courses (United States)

    McDougall, Roseanne; LaMonica, Jeffrey


    Primary sources in religion and history enable first year university students to connect "content-based" linked courses in the core curriculum. Fifty-four first year university students in three separate pairs of courses worked in teams to present oral critical reports on texts related to the Reformation, the Enlightenment, and the…

  10. Research and Design of Soil Water Content Sensor Based on High-frequency Capacitive

    Directory of Open Access Journals (Sweden)

    Xing ZHEN


    Full Text Available Power supply and long distance cable are difficult in a field. Hence, a low power high-frequency capacitive soil water content sensor was developed. It consisted of an adjustable signal generating circuit, a signal attenuator, a true RMS detection circuit, a RC charge and discharge circuit, and two probe electrodes. The probe electrode was made up of PCB (Printed Circuit Board. In order to reduce entire energy consumption, the optimization design of sensor circuit was conducted. The results showed that the output voltage of the sensor had a positive linear correlation with soil volumetric moisture content, and the coefficient of determination R2 was 0.989. The stability and consistency of the soil moisture sensor met the needs of the long-term monitoring soil moisture content.

  11. Detection Of Volatile Oil Content Of Single-Grainzanthoxylum Seed Based on Nir (United States)

    Xu, Yun; Wang, Yiming; Wu, Jingzhu; Zhu, Shiping

    A NIR model was established to predict the volatile oil content of single particle red Zanthoxylum seed in this paper. With the characteristic of irregular surface, A single Zanthoxylum seed will reflect the great difference in response to spectrum signals the entire spectrum detection and exceptional sample rejection method were employed before model optimization. As a result, the NIR model for predicting the content of volatile oil were built up by 74 red Zanthoxylum seed and results indicated: the NIR model of the single grain Zanthoxylum seed had good stability and predictability (RSD3). Results of this paper suggested that NIR could be used as a quick and convenient method for predicting the volatile oil content of Zanthoxylum seed, which is useful for breeding and the quality evaluation of it.

  12. Petalz: Search-based Procedural Content Generation for the Casual Gamer

    DEFF Research Database (Denmark)

    Risi, S.; Lehman, J.; D'Ambrosio, D.B


    The impact of game content on the player experience is potentially more critical in casual games than in competitive games because of the diminished role of strategic or tactical diversions. Interestingly, until now procedural content generation (PCG) has nevertheless been investigated almost...... environment driven by PCG can be investigated. In particular, players in Petalz can (1) trade their discoveries in a global marketplace, (2) respond to an incentive system that awards diversity, and (3) generate real-world threedimensional replicas of their evolved flowers. With over 1,900 registered online...

  13. MR-based Water Content Estimation in Cartilage: Design and Validation of a Method

    DEFF Research Database (Denmark)

    Shiguetomi Medina, Juan Manuel; Kristiansen, Maja Sofie; Ringgaard, Steffen


    system (the closest to the body temperature) we measured, using the modified MR sequences, the T1 map intensity signal on 6 cartilage samples from living animals (pig) and on 8 gelatin samples which water content was already known. For the data analysis a T1 intensity signal map software analyzer...... was costumed and programmed. Finally, we validated the method after measuring and comparing 3 more cartilage samples in a living animal (pig). The obtained data was analyzed and the water content calculated. Then, the same samples were freeze-dried (this technique allows to take out all the water that a tissue...

  14. SACRD: a data base for fast reactor safety computer codes, contents and glossary of Version 1 of the system

    Energy Technology Data Exchange (ETDEWEB)

    Greene, N.M.; Forsberg, V.M.; Raiford, G.B.; Arwood, J.W.; Flanagan, G.F.


    SACRD is a data base of material properties and other handbook data needed in computer codes used for fast reactor safety studies. This document lists the contents of Version 1 and also serves as a glossary of terminology used in the data base. Data are available in the thermodynamics, heat transfer, fluid mechanics, structural mechanics, aerosol transport, meteorology, neutronics and dosimetry areas. Tabular, graphical and parameterized data are provided in many cases.

  15. Investigating the Impact of a LEGO(TM)-Based, Engineering-Oriented Curriculum Compared to an Inquiry-Based Curriculum on Fifth Graders' Content Learning of Simple Machines (United States)

    Marulcu, Ismail


    This mixed method study examined the impact of a LEGO-based, engineering-oriented curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines. This study takes a social constructivist theoretical stance that science learning involves learning scientific concepts and their relations to each other. From…

  16. A new method for assessing content validity in model-based creation and iteration of eHealth interventions. (United States)

    Kassam-Adams, Nancy; Marsac, Meghan L; Kohser, Kristen L; Kenardy, Justin A; March, Sonja; Winston, Flaura K


    The advent of eHealth interventions to address psychological concerns and health behaviors has created new opportunities, including the ability to optimize the effectiveness of intervention activities and then deliver these activities consistently to a large number of individuals in need. Given that eHealth interventions grounded in a well-delineated theoretical model for change are more likely to be effective and that eHealth interventions can be costly to develop, assuring the match of final intervention content and activities to the underlying model is a key step. We propose to apply the concept of "content validity" as a crucial checkpoint to evaluate the extent to which proposed intervention activities in an eHealth intervention program are valid (eg, relevant and likely to be effective) for the specific mechanism of change that each is intended to target and the intended target population for the intervention. The aims of this paper are to define content validity as it applies to model-based eHealth intervention development, to present a feasible method for assessing content validity in this context, and to describe the implementation of this new method during the development of a Web-based intervention for children. We designed a practical 5-step method for assessing content validity in eHealth interventions that includes defining key intervention targets, delineating intervention activity-target pairings, identifying experts and using a survey tool to gather expert ratings of the relevance of each activity to its intended target, its likely effectiveness in achieving the intended target, and its appropriateness with a specific intended audience, and then using quantitative and qualitative results to identify intervention activities that may need modification. We applied this method during our development of the Coping Coach Web-based intervention for school-age children. In the evaluation of Coping Coach content validity, 15 experts from five countries

  17. Content identification: binary content fingerprinting versus binary content encoding (United States)

    Ferdowsi, Sohrab; Voloshynovskiy, Svyatoslav; Kostadinov, Dimche


    In this work, we address the problem of content identification. We consider content identification as a special case of multiclass classification. The conventional approach towards identification is based on content fingerprinting where a short binary content description known as a fingerprint is extracted from the content. We propose an alternative solution based on elements of machine learning theory and digital communications. Similar to binary content fingerprinting, binary content representation is generated based on a set of trained binary classifiers. We consider several training/encoding strategies and demonstrate that the proposed system can achieve the upper theoretical performance limits of content identification. The experimental results were carried out both on a synthetic dataset with different parameters and the FAMOS dataset of microstructures from consumer packages.

  18. Genre-Based Curricula: Multilingual Academic Literacy in Content and Language Integrated Learning (United States)

    Lorenzo, Francisco


    This study addresses academic literacy in content and language integrated learning (CLIL) secondary education. More precisely, this paper focuses on attempts to meet modern standards for language competences set in areas like Europe, where the notion involves multilingual academic competence. The study centres on new proposals for language…

  19. Evaluating Unsupervised Thesaurus-based Labeling of Audiovisual Content in an Archive Production Environment

    NARCIS (Netherlands)

    de Boer, Victor; Ordelman, Roeland J.F.; Schuurman, Josefien

    In this paper we report on a two-stage evaluation of unsupervised labeling of audiovisual content using collateral text data sources to investigate how such an approach can provide acceptable results for given requirements with respect to archival quality, authority and service levels to external

  20. Readability Levels of Health-Based Websites: From Content to Comprehension (United States)

    Schutten, Mary; McFarland, Allison


    Three of the national health education standards include decision-making, accessing information and analyzing influences. WebQuests are a popular inquiry-oriented method used by secondary teachers to help students achieve these content standards. While WebQuests support higher level thinking skills, the readability level of the information on the…

  1. Evaluating unsupervised thesaurus-based labeling of audiovisual content in an archive production environment

    NARCIS (Netherlands)

    de Boer, V.; Ordelman, Roeland J.; Schuurman, Josefien


    In this paper we report on a two-stage evaluation of unsupervised labeling of audiovisual content using collateral text data sources to investigate how such an approach can provide acceptable results for given requirements with respect to archival quality, authority and service levels to external

  2. Give-and-take based peer-to-peer content distribution networks

    Indian Academy of Sciences (India)

    Peer-to-peer content distribution network (enabling exchange between peers decreases the load on surrogate ... cost; for example, if peer j has a history of selfishness, a high cost can be assigned — this discourages ... in this paper, we assume that system is changing at a slow rate, effectively making it static. If the system is ...

  3. Integrating Curriculum through the Learning Cycle: Content-Based Reading and Vocabulary Instruction (United States)

    Spencer, Brenda H.; Guillaume, Andrea M.


    The content areas provide rich contexts for developing vocabulary. This article presents some principles and a lesson model--the learning cycle--that can be used to develop vocabulary while building understanding in science. Because science instruction and the learning cycle model promote learning in real-world contexts, they provide students with…

  4. The Development of SCORM-Conformant Learning Content Based on the Learning Cycle Using Participatory Design (United States)

    Su, C. Y.; Chiu, C. H.; Wang, T. I.


    This study incorporates the 5E learning cycle strategy to design and develop Sharable Content Object Reference Model-conformant materials for elementary science education. The 5E learning cycle that supports the constructivist approach has been widely applied in science education. The strategy consists of five phases: engagement, exploration,…

  5. Situational Requirements Engineering for the Development of Content Management System-based Web Applications

    NARCIS (Netherlands)

    Souer, J.; van de Weerd, I.; Versendaal, J.M.; Brinkkemper, S.


    Web applications are evolving towards strong content-centered Web applications. The development processes and implementation of these applications are unlike the development and implementation of traditional information systems. In this paper we propose WebEngineering Method; a method for developing

  6. Effects of iron content on electrical resistivity of oxide films on Zr-base alloys

    International Nuclear Information System (INIS)

    Kubo, Toshio; Uno, Masayoshi


    Measurements of electrical resistivity were made for oxide films formed by anodic oxidation and steam oxidation (400degC/12 h) on Zr plates with different Fe contents. When the Fe content was higher than about 1,000 ppm the electrical resistivity of the steam oxide films was almost equivalent to that of the anodic oxide films, while at lower Fe content the former exhibited lower electrical resistivity than the latter by about 1∼3 orders of magnitude. The anodic oxide film was an almost homogeneous single oxide layer. The steam oxide films, on the other hand, were composed of duplex oxide layers. The oxide layer formed in the vicinity of the oxide/metal interface had higher electrical resistivity than the near-surface oxide layer by about 1∼4 orders of magnitude. The oxide layer in the vicinity of the interface could act as a protective film against corrosion and its electrical resistivity is one important factor controlling the layer protectiveness. The electrical resistivity of the oxide/metal interfacial layer was strongly dependent on the Fe content. One possible reason for Fe to improve the corrosion resistance is that Fe ions would tend to stabilize the tetragonal (or cubic) phase and consequently suppress the formation of open pores and cracks in the interfacial layer. (author)

  7. An ICF-CY-Based Content Analysis of the Vineland Adaptive Behavior Scales-II (United States)

    Gleason, Kara; Coster, Wendy


    Background: The International Classification of Functioning, Disability and Health (ICF), and its version for children and youth (ICF-CY), has been increasingly adopted as a system to describe function and disability. A content analysis of the Vineland Adaptive Behavior Scales-II (VABS-II) was conducted to examine congruence with the functioning…

  8. Literature-Based Teaching in the Content Areas: 40 Strategies for K-8 Classrooms (United States)

    Cox, Carole


    Grounded in theory and best-practices research, this practical text provides teachers with 40 strategies for using fiction and non-fiction trade books to teach in five key content areas: language arts and reading, social studies, mathematics, science, and the arts. Each strategy provides everything a teacher needs to get started: a classroom…

  9. Instrumental Music as Content Literacy Education: An Instructional Framework Based on the Continuous Improvement Process (United States)

    Neves, Victor Russell Tarbet


    Background: Educational guidelines and reforms focused on literacy, including No Child Left Behind (NCLB) and National Assessment of Educational Progress (NAEP), have contributed to a music education culture and climate focused on language literacy rather than on the core content literacies inherent in music itself. Purpose: The purpose of this…

  10. Content Analysis of Master Theses and Dissertations Based on Action Research (United States)

    Durak, Gürhan; Yünkül, Eyup; Cankaya, Serkan; Akpinar, Sükran; Erten, Emine; Inam, Nazmiye; Taylan, Ufuk; Tastekin, Eray


    Action Research (AR) is becoming popular in the field of education, and according to literature, it could be stated that AR studies have positive influence on practice in education. The present study aims at conducting content analysis of action research (AR) master theses and doctoral dissertations submitted at the level of Turkish higher…

  11. Automatic content linking: Speech-based just-in-time retrieval for multimedia archives

    NARCIS (Netherlands)

    Popescu-Belis, A.; Kilgour, J.; Poller, P.; Nanchen, A.; Boertjes, E.; Wit, J. de


    The Automatic Content Linking Device monitors a conversation and uses automatically recognized words to retrieve documents that are of potential use to the participants. The document set includes project related reports or emails, transcribed snippets of past meetings, and websites. Retrieval

  12. Detection of spam web page using content and link-based techniques

    Indian Academy of Sciences (India)

    of a Web page to rank it. Spammers try to understand the weakness of these models and try to manipulate the content of the target page. For example, increasing the term frequencies for terms appear in a page, repeating important terms many times on a target page, putting all dictionary terms on a target page are some of ...

  13. Integrating Problem-Based Learning with ICT for Developing Trainee Teachers' Content Knowledge and Teaching Skill (United States)

    Karami, Mehdi; Karami, Zohreh; Attaran, Mohammad


    Professional teachers can guarantee the progress and the promotion of society because fostering the development of next generation is up to them and depends on their professional knowledge which has two kinds of sources: content knowledge and teaching skill. The aim of the present research was studying the effect of integrating problem-based…

  14. Tuning In: Using the News for a Content-Based ESL Class (United States)

    Moglen, Daniel


    Vast amounts of daily news content are widely available and easily accessible, and they can be converted into materials for intermediate and advanced ESL classes. This article will describe the why and how for integrating news media sources into a multiskills ESL classroom. Through the news, students are immediately engaged with the material…

  15. A Standards-Based Content Analysis of Selected Biological Science Websites (United States)

    Stewart, Joy E.


    The purpose of this study was to analyze the biology content, instructional strategies, and assessment methods of 100 biological science websites that were appropriate for Grade 12 educational purposes. For the analysis of each website, an instrument, developed from the National Science Education Standards (NSES) for Grade 12 Life Science coupled…

  16. Soil water content and evaporation determined by thermal parameters obtained from ground-based and remote measurements (United States)

    Reginato, R. J.; Idso, S. B.; Jackson, R. D.; Vedder, J. F.; Blanchard, M. B.; Goettelman, R.


    Soil water contents from both smooth and rough bare soil were estimated from remotely sensed surface soil and air temperatures. An inverse relationship between two thermal parameters and gravimetric soil water content was found for Avondale loam when its water content was between air-dry and field capacity. These parameters, daily maximum minus minimum surface soil temperature and daily maximum soil minus air temperature, appear to describe the relationship reasonably well. These two parameters also describe relative soil water evaporation (actual/potential). Surface soil temperatures showed good agreement among three measurement techniques: in situ thermocouples, a ground-based infrared radiation thermometer, and the thermal infrared band of an airborne multispectral scanner.

  17. Analysis of Children Consumption of TV, Videogames and the Internet: Differences Based on Gender in their Selection of Audiovisual Content

    Directory of Open Access Journals (Sweden)



    Full Text Available Under a strategy to attract diverse audiences, the audiovisual industry has been fragmenting its content based on several criteria, including the gender. In this sense, this research aims to verify if these distinctions are reflected in the children´s content selection in relation with different screens (TV, videogames and the internet. To cope with this research, we selected a quantitative analysis using the technique of the questionnaire that was distributed among students of 6th year primary school, who are between 11 and 12 years to finally access to a sample of 2200 individuals from 77 public and private Galician schools. Thanks to this data, we could corroborate that children choose completely different content according to their gender, excepting internet, media in which their preferences tend to converge.

  18. Identification of Application Areas of the Steganalytic Approach Based on the Analysis of Spatial Domain of Digital Contents

    Directory of Open Access Journals (Sweden)

    Akhmamet’eva A.V.


    Full Text Available In this paper the identification of application areas of previously developed steganalytic approach based on accounting of quantity of consecutive triads in the matrix of unique colors of digital images, from the point of view of formats of digital contents is carried out. The influence of the size of the digital contents, which are used as containers for the embedding of additional information, on the detection efficiency during steganalysis is analyzed. As a result of fulfilled computational experiments, it has beet stated that the developed approach is effective for digital content in losses formats, and it has been turned out a restriction on size of the containers. Results of computational experiments are demonstrated.

  19. Study of Aerosol Liquid Water Content based on Hygroscopicity Measurements at High Relative Humidity in the North China Plain (United States)

    Bian, Y.; Zhao, C.


    Aerosol has significant effects on direct/indirect climate forcing, visibility, tropospheric chemistry and human health. Water can represent an extensive proportion of the mass of aerosol particles, and can also serve as a medium for aqueous-phase reactions in such particulate matter. In this study, a new method is proposed to estimate the aerosol liquid water content at high relative humidity, based on aerosol hygroscopic growth factors, particle number size distribution and relative humidity measured during the Haze in China (HaChi) campaign of July-August, 2009. The aerosol liquid water content estimated by this method is compared to the results calculated by a thermodynamic equilibrium model (ISORROPIA II). The calculation results from these two methods agree well at high relative humidity above 60% with the correlation coefficient of 0.9658. At relative humidity lower than 60%, the thermodynamic equilibrium model underestimates the aerosol liquid water content. The discrepancy is mainly caused by the ISORROPIA II model, which considers only limited chemical species. The mean and maximum value of aerosol liquid water content during July-August, 2009 in the North China Plain reached 1.69×10^{-4}g/m^3 and 9.71×10^{-4}g/m^3, respectively. Aerosol liquid water content is highly related to the relative humidity. There exists a distinct diurnal variation of the aerosol liquid water content, with lower values during daytime and higher ones during night time. The contribution to the aerosol liquid water content from the accumulation mode is dominating among all the aerosol particle modes.

  20. Integrating Information Literacy and Evidence-Based Medicine Content within a New School of Medicine Curriculum: Process and Outcome. (United States)

    Muellenbach, Joanne M; Houk, Kathryn M; E Thimons, Dana; Rodriguez, Bredny


    This column describes a process for integrating information literacy (IL) and evidence-based medicine (EBM) content within a new school of medicine curriculum. The project was a collaborative effort among health sciences librarians, curriculum deans, directors, and faculty. The health sciences librarians became members of the curriculum committees, developed a successful proposal for IL and EBM content within the curriculum, and were invited to become course instructors for Analytics in Medicine. As course instructors, the librarians worked with the other faculty instructors to design and deliver active learning class sessions based on a flipped classroom approach using a proprietary Information Mastery curriculum. Results of this collaboration may add to the knowledge base of attitudes and skills needed to practice as full faculty partners in curricular design and instruction.


    Directory of Open Access Journals (Sweden)

    María Dueñas


    Full Text Available As an instructional practice in second and foreign language education, content-based instruction is not a fully revolutionary paradigm, but a spin-off approach which derives from the evolution of Communicative Language Teaching. Sharing with CLT the same fundamental principies, CBI bases its idiosyncrasy on promoting the use of subject matter for secondlforeign language teaching purposes. This article aims at exploring the nature and scope of the content-based methodological framework -the whats-, the theoretical foundations that support it -the whys-, and the different prototype models for application in compliance with parameters such as institutional requirements, educational leve], and the particular nature and object of instruction -the hows. Additionally, it will also undertake a review of a copious nurnber of references selected from the existing literature, mostly contributed by researchers and experienced practitioners in the field -the whos.

  2. Auditing sex- and gender-based medicine (SGBM) content in medical school curriculum: a student scholar model. (United States)

    Song, Michael M; Jones, Betsy G; Casanova, Robert A


    Sex- and gender-based medicine (SGBM) aims to (1) delineate and investigate sex- and gender-based differences in health, disease, and response to treatment and (2) apply that knowledge to clinical care to improve the health of both women and men. However, the integration of SGBM into medical school curricula is often haphazard and poorly defined; schools often do not know the current status of SGBM content in their curricula, even if they are committed to addressing gaps and improving SGBM delivery. Therefore, complete auditing and accounting of SGBM content in the existing medical school curriculum is necessary to determine the baseline status and prepare for successful integration of SGBM content into that curriculum. A review of course syllabi and lecture objectives as well as a targeted data analysis of the Curriculum Management and Information Tool (CurrMIT) were completed prior to a real-time curriculum audit. Subsequently, six "student scholars," three first-year and three second-year medical students, were recruited and trained to audit the first 2 years of the medical school curriculum for SGBM content, thus completing an audit for both of the pre-clinical years simultaneously. A qualitative analysis and a post-audit comparative analysis were completed to assess the level of SGBM instruction at our institution. The review of syllabi and the CurrMIT data analysis did not generate a meaningful catalogue of SGBM content in the curriculum; most of the content identified specifically targeted women's or men's health topics and not sex- or gender-based differences. The real-time student audit of the existing curriculum at Texas Tech revealed that most of the SGBM material was focused on the physiological/anatomical sex differences or gender differences in disease prevalence, with minimal coverage of sex- or gender-based differences in diagnosis, prognosis, treatment, and outcomes. The real-time student scholar audit was effective in identifying SGBM content in

  3. Effects of home-based food preparation practices on the micronutrient content of foods. (United States)

    Severi, S; Bedogni, G; Zoboli, G P; Manzieri, A M; Poli, M; Gatti, G; Battistini, N


    We studied the effects of cooking on the vitamin and mineral content of vegetables (vegetable soup, cauliflower), meat (beefsteak) and fish (sole) and those of cutting (fruit salad) and squeezing (orange juice) on the vitamin content of fruits. In cooked dishes, vitamin retention ranged between 0 (folic acid, all dishes) and 94% (retinol, sole) and mineral retention between 63 (copper, cauliflower) and 96% (iron, vegetable soup). In orange juice, ascorbic acid appeared to be protected from oxidation for at least 12 h as compared with fruit salad. Our study shows that preparation of foods with techniques available at home may be responsible for losses of vitamins and minerals. Further studies are needed to ascertain the effects of these losses on nutritional status.

  4. A Study on Secure Medical-Contents Strategies with DRM Based on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Hoon Ko


    Full Text Available Many hospitals and medical clinics have been using a wearable sensor in its health care system because the wearable sensor, which is able to measure the patients’ biometric information, has been developed to analyze their patients remotely. The measured information is saved to a server in a medical center, and the server keeps the medical information, which also involves personal information, on a cloud system. The server and network devices are used by connecting each other, and sensitive medical records are dealt with remotely. However, these days, the attackers, who try to attack the server or the network systems, are increasing. In addition, the server and the network system have a weak protection and security policy against the attackers. In this paper, it is suggested that security compliance of medical contents should be followed to improve the level of security. As a result, the medical contents are kept safely.

  5. Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval

    International Nuclear Information System (INIS)

    Xu Jiajing; Napel, Sandy; Greenspan, Hayit; Beaulieu, Christopher F.; Agrawal, Neeraj; Rubin, Daniel


    . Equivalence across deformations was assessed using Schuirmann's paired two one-sided tests. Results: In simulated images, the concordance correlation between measured gradient and actual gradient was 0.994. The mean (s.d.) and standard deviation NDCG score for the retrieval of K images, K = 5, 10, and 15, were 84% (8%), 85% (7%), and 85% (7%) for CT images containing liver lesions, and 82% (7%), 84% (6%), and 85% (4%) for CT images containing lung nodules, respectively. The authors’ proposed method outperformed the two existing margin characterization methods in average NDCG scores over all K, by 1.5% and 3% in datasets containing liver lesion, and 4.5% and 5% in datasets containing lung nodules. Equivalence testing showed that the authors’ feature is more robust across all margin deformations (p < 0.05) than the two existing methods for margin sharpness characterization in both simulated and clinical datasets. Conclusions: The authors have described a new image feature to quantify the margin sharpness of lesions. It has strong correlation with known margin sharpness in simulated images and in clinical CT images containing liver lesions and lung nodules. This image feature has excellent performance for retrieving images with similar margin characteristics, suggesting potential utility, in conjunction with other lesion features, for content-based image retrieval applications.

  6. Bioaccessible contents of inorganic elements in plant based edible materials by INAA and ICPMS methods

    International Nuclear Information System (INIS)

    Maharia, R.S.; Dutta, R.K.; Acharya, R.; Reddy, A.V.R.


    We report total metal contents and their Bioaccessibility concentrations from Momordica Charantia (karela), Asparagus racemosus (satavari), Terminalia arjuna (arjuna bark) and Syzyzium cumini (jamun). The metal bioaccessibilities were determined by treating the dried powdered samples sequentially in gastric and intestinal fluid of porcine origin and the concentrations of the elements were determined by Instrumental Neutron Activation Analysis (INAA) and by Inductively Coupled Plasma Mass Spectrometry (ICPMS). (author)

  7. A Review of Content Based Image Classification using Machine Learning Approach


    Sandeep Kumar; Zeeshan Khan; Anurag jain


    Image classification is vital field of research in computer vision. Increasing rate of multimedia data, remote sensing and web photo gallery need a category of different image for the proper retrieval of user. Various researchers apply different approach for image classification such as segmentation, clustering and some machine learning approach for the classification of image. Content of image such as color, texture and shape and size plays an important role in semantic image classification....

  8. Content, pedagogy, results: A thrice-told tale of integrating work-based and school-based learning (United States)

    Ryken, Amy Elizabeth

    Work-based learning programs can challenge the grammar of schooling by connecting students to opportunities outside the school, creating learning communities of students, teachers and employers, and integrating academic and occupational education. Although designed to change how students perceive the relationship between high school and life afterwards---college and work---do these programs actually affect students' understanding of schoolwork relationships? To answer the question a case study approach was used to study the details of a particular site. This research focused on a biotechnology education and training program that includes two years of science coursework at the high school level, a year of science coursework at the community college level, as well as summer internships for high school students and year-round co-op jobs for college students. A particular point of view is presented---that of the students. Data collection and analysis took place in four phases; Phase 1 included longitudinal cohort analyses in which persistence and attrition rates were calculated, industry participation was also analyzed; in Phase 2, written statements of 61 focal students were analyzed; Phase 3 consisted of 32 participant interviews; and in Phase 4, chapters were conceptualized and organized. Student perspectives add to the school-to-career research by revealing what students define as important experiences and opportunities. By focusing on what students learn (content), how they learn it (pedagogy), and what it means to them and the program (results), this study provides student perspectives on the promises of new forms of vocationalism. This research concludes with implications for designing and implementing career-technical programs. The central image that informs this work is that of students progressing on a career pathway. Getting on a path leads to particular outcomes (e.g., entrance to college, and/or finding a job in biotechnology). The path broadens as

  9. Influence of the filler content on the free nanohole volume in epoxy-based composites

    Directory of Open Access Journals (Sweden)

    S. Tognana


    Full Text Available A study on free nanohole volumes in particulate epoxy matrix composites as a function of the aluminum particles content is presented. Specifically, the influence of the filler content in the epoxy matrix on the nanohole volume is analyzed in terms of the mechanical and morphological properties of the composites fabricated. Nanoholes data were measured using positron annihilation lifetime spectroscopy recently published by the authors. Applying the Park-Earmme micromechanical model, these data are interpreted in terms of the thermal stresses generated during the curing process applied during fabrication. Some input parameters of the model were experimentally obtained. In order to obtain a satisfactory description of the evolution of the free nanohole volume in the whole range of filler contents, a contribution due to the matrix-particle interphases is taken into account in the micromechanical model. To this aim, specific information on the interphases was obtained using atomic force microscopy (AFM, scanning electron microscopy (SEM, differencital scanning calorimetry (DSC and a free-constraint analysis of the positron lifetime data.

  10. Surveying In-Service Teachers' Beliefs about Game-Based Learning and Perceptions of Technological Pedagogical and Content Knowledge of Games (United States)

    Hsu, Chung-Yuan; Tsai, Meng-Jung; Chang, Yu-Hsuan; Liang, Jyh-Chong


    Using the Game-based-learning Teaching Belief Scale (GTBS) and the Technological Pedagogical Content Knowledge--Games questionnaire (TPACK-G), this study investigated 316 Taiwanese in-service teachers' teaching beliefs about game-based learning and their perceptions of game-based pedagogical content knowledge (GPCK). Both t-tests and ANOVA…

  11. Influence of fermentation and other processing steps on the folate content of a traditional African cereal-based fermented food. (United States)

    Saubade, Fabien; Hemery, Youna M; Rochette, Isabelle; Guyot, Jean-Pierre; Humblot, Christèle


    Folate deficiency can cause a number of diseases including neural tube defects and megaloblastic anemia, and still occurs in both developed and developing countries. Cereal-based food products are staple foods in many countries, and may therefore be useful sources of folate. The production of folate by microorganisms has been demonstrated in some cereal-based fermented foods, but has never been studied in a traditional African cereal based food spontaneously fermented. The microbiota of ben-saalga, a pearl-millet based fermented porridge frequently consumed in Burkina Faso, has a good genetic potential for the synthesis of folate, but the folate content of ben-saalga is rather low, suggesting that folate is lost during the different processing steps. The aim of this study was therefore to monitor changes in folate content during the different steps of preparing ben-saalga, from pearl-millet grains to porridge. Traditional processing involves seven different steps: washing, soaking, grinding, kneading, sieving, (spontaneous) fermentation, and cooking. Two type of porridge were prepared, one using a process adapted from the traditional process, the other a modified process based on fermentation by backslopping. Dry matter and total folate contents were measured at each step, and a mass balance assessment was performed to follow folate losses and gains. Folate production was observed during the soaking of pearl-millet grains (+26% to +79%), but the folate content of sieved batters (2.5 to 3.4μg/100g fresh weight) was drastically lower than that of milled soaked grains (17.3 to 19.4μg/100g FW). The final folate content of the porridges was very low (1.5 to 2.4μg/100g FW). The fermentation had no significant impact on folate content, whatever the duration and the process used. This study led to a better understanding of the impact on folate of the different processing steps involved in the preparation of ben-saalga. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. The influence of hard segment content on mechanical and thermal properties of polycarbonate-based polyurethane materials

    Directory of Open Access Journals (Sweden)

    Budinski-Simendić Jaroslava


    Full Text Available Aliphatic segmented polyurethanes were prepared by one-step procedure in catalytic reaction between polycarbonate diol, hexamethylene-diisocyanate and 1,4-butandiol (as chain extender. The hard segment content TS was varied (17, 24, 30 and 42 wt. % by changing the ratio of starting compounds. The soft segment is made from flexible aliphatic polycarbonate diol, while hard segments consist of chain extender and diisocyanate component. In order to study the hydrogen bonding formation and phase separation, Fourier transform infrared spectroscopy (FT-IR was used. Wide angle X-ray scattering (WAXS was performed to determine a degree of crystallinity and to investigate the phase behavior of prepared elastomers. The effect of TS content on mechanical properties (tensile strength, elongation at break and hardness was tested. Thermal behavior of prepared novel polycarbonate-based polyurethanes was investigated using differential scanning callorimetry (DSC. It was determined that the elastomer which contains the highest amount of urethane groups in its structure (TS content of 42 wt. % exhibits the most pronounced phase separation and the highest degree of crystallinity. All prepared polyurethanes exhibit high elongation at break (over 700%. The glass transition temperature Tg of prepared samples was in the temperature region from −39 to −36°C, and it was found to be slightly influenced by the soft segment content. The enthalpy of chain segments relaxation in diffused region between hard and soft domains (detected in the temperature range from 35 to 55 °C was decreased with the increase of hard segment content. The multiple melting of hard segments (connected with the dissruption of physical crosslinks appeared above 100 °C. It was found that the melting enthalpy linearly increases with the increase of urethane group content. Sample with 42 wt. % of TS has the highest value of melting enthalpy (41.5 J/g.

  13. Analysis of the relationship between genomic GC Content and patterns of base usage, codon usage and amino acid usage in prokaryotes: similar GC content adopts similar compositional frequencies regardless of the phylogenetic lineages.

    Directory of Open Access Journals (Sweden)

    Hui-Qi Zhou

    Full Text Available The GC contents of 2670 prokaryotic genomes that belong to diverse phylogenetic lineages were analyzed in this paper. These genomes had GC contents that ranged from 13.5% to 74.9%. We analyzed the distance of base frequencies at the three codon positions, codon frequencies, and amino acid compositions across genomes with respect to the differences in the GC content of these prokaryotic species. We found that although the phylogenetic lineages were remote among some species, a similar genomic GC content forced them to adopt similar base usage patterns at the three codon positions, codon usage patterns, and amino acid usage patterns. Our work demonstrates that in prokaryotic genomes: a base usage, codon usage, and amino acid usage change with GC content with a linear correlation; b the distance of each usage has a linear correlation with the GC content difference; and c GC content is more essential than phylogenetic lineage in determining base usage, codon usage, and amino acid usage. This work is exceptional in that we adopted intuitively graphic methods for all analyses, and we used these analyses to examine as many as 2670 prokaryotes. We hope that this work is helpful for understanding common features in the organization of microbial genomes.

  14. Catalytic Performance for Hydrocarbon Production from Syngas on the Promoted Co-Based Hybrid Catalysts; Influence of Pt Contents

    Directory of Open Access Journals (Sweden)

    Suk-Hwan Kang


    How to Cite: Kang, S.H., Ryu, J.H., Kim, J.H., Kim, H.S., Yang, H.C., Chung, D.Y. (2017. Catalytic Performance for Hydrocarbon Production from Syngas on the Promoted Co-Based Hybrid Catalysts; Influence of Pt Contents. Bulletin of Chemical Reaction Engineering & Catalysis, 12 (3: 452-459 (doi:10.9767/bcrec.12.3.592.452-459

  15. TEM characterisation of stress corrosion cracks in nickel based alloys: effect of chromium content and chemistry of environment

    International Nuclear Information System (INIS)

    Delabrouille, F.


    Stress corrosion cracking (SCC) is a damaging mode of alloys used in pressurized water reactors, particularly of nickel based alloys constituting the vapour generator tubes. Cracks appear on both primary and secondary sides of the tubes, and more frequently in locations where the environment is not well defined. SCC sensitivity of nickel based alloys depends of their chromium content, which lead to the replacement of alloy 600 (15 % Cr) by alloy 690 (30 % Cr) but this phenomenon is not yet very well understood. The goal of this thesis is two fold: i) observe the effect of chromium content on corrosion and ii) characterize the effect of environment on the damaging process of GV tubes. For this purpose, one industrial tube and several synthetic alloys - with controlled chromium content - have been studied. Various characterisation techniques were used to study the corrosion products on the surface and within the SCC cracks: SIMS; TEM - FEG: thin foil preparation, HAADF, EELS, EDX. The effect of chromium content and surface preparation on the generalised corrosion was evidenced for synthetic alloys. Moreover, we observed the penetration of oxygen along triple junctions of grain boundaries few micrometers under the free surface. SCC tests show the positive effect of chromium for contents varying from 5 to 30 % wt. Plastic deformation induces a modification of the structure, and thus of the protective character, of the internal chromium rich oxide layer. SCC cracks which developed in different chemical environments were characterised by TEM. The oxides which are formed within the cracks are different from what is observed on the free surface, which reveals a modification of medium and electrochemical conditions in the crack. Finally we were able to evidence some structural characteristics of the corrosion products (in the cracks and on the surface) which turn to be a signature of the chemical environment. (author)

  16. A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. (United States)

    Müller, Henning; Michoux, Nicolas; Bandon, David; Geissbuhler, Antoine


    Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR) has been one on the most vivid research areas in the field of computer vision over the last 10 years. The availability of large and steadily growing amounts of visual and multimedia data, and the development of the Internet underline the need to create thematic access methods that offer more than simple text-based queries or requests based on matching exact database fields. Many programs and tools have been developed to formulate and execute queries based on the visual or audio content and to help browsing large multimedia repositories. Still, no general breakthrough has been achieved with respect to large varied databases with documents of differing sorts and with varying characteristics. Answers to many questions with respect to speed, semantic descriptors or objective image interpretations are still unanswered. In the medical field, images, and especially digital images, are produced in ever-increasing quantities and used for diagnostics and therapy. The Radiology Department of the University Hospital of Geneva alone produced more than 12,000 images a day in 2002. The cardiology is currently the second largest producer of digital images, especially with videos of cardiac catheterization ( approximately 1800 exams per year containing almost 2000 images each). The total amount of cardiologic image data produced in the Geneva University Hospital was around 1 TB in 2002. Endoscopic videos can equally produce enormous amounts of data. With digital imaging and communications in medicine (DICOM), a standard for image communication has been set and patient information can be stored with the actual image(s), although still a few problems prevail with respect to the standardization. In several articles, content-based access to medical images for supporting clinical decision-making has been proposed that would ease the management of clinical data and scenarios for the integration of

  17. A Trivia like Mobile Game with Autonomous Content That Uses Wikipedia Based Ontologies

    Directory of Open Access Journals (Sweden)

    Bogdan IANCU


    Full Text Available The mobile devices are everywhere and the gaming industry has an important market share on this field. This paper aims to present a new approach of game which generates autonomous its content, without human intervention, by using existing facts from the semantic version of Wikipedia, called DBpedia. At the beginning a short introduction of the studied field and of the used terms and technologies is presented. There are also remembered similar approaches and different struggles from this domain. In the middle part the architecture and the logic of the system are shown. The paper ends with some conclusions and future plans.

  18. Determination of Volatile Organic Content in Water-Based Paints by Gas-Liquid Chromatography. (United States)


    acrylic modified alkyd resin . ,2" q7 :o 4 " ,- 0 10 20 30 4.0 50 MINUTES Figure 4. Analysis of a latex, alkyd - resin paint. iki ,...2 4 mI +.- ’-I...chromatographic tglc) method for volIatile organic content in water- hased painits antd paint resins is presented. Sample preparation pirior to injection into ., l o N 1 -0N I 4 Sarmple Preparartion. .\\eeuratcliy weigh appro~r na ely 0).2 gram ot thti resin (q. lOnn ) aia pa int) illtIo a1 3-i tic I by

  19. Temporal Methods to Detect Content-Based Anomalies in Social Media

    Energy Technology Data Exchange (ETDEWEB)

    Skryzalin, Jacek [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Field, Jr., Richard [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Fisher, Andrew N. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Bauer, Travis L. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)


    Here, we develop a method for time-dependent topic tracking and meme trending in social media. Our objective is to identify time periods whose content differs signifcantly from normal, and we utilize two techniques to do so. The first is an information-theoretic analysis of the distributions of terms emitted during different periods of time. In the second, we cluster documents from each time period and analyze the tightness of each clustering. We also discuss a method of combining the scores created by each technique, and we provide ample empirical analysis of our methodology on various Twitter datasets.

  20. A Kinect-Based Framework For Better User Experience in Real-Time Audiovisual Content Manipulation

    DEFF Research Database (Denmark)

    Potetsianakis, Emmanouil; Ksylakis, Emmanouil; Triantafyllidis, Georgios


    Applications for real-time multimedia content production, because of their delay-sensitive nature, require fast and precise control by the user. This is commonly achieved by specialized physical controllers that are application-specific with steep learning curves. In our work, we propose using...... for the multimedia application. By removing the gesture recognition concept, we are able to create a generic and lightweight framework, with a clear interface to the user. We examine the usability of the framework through the development and evaluation, of a Kinect-controlled real-time multimedia application....

  1. The Addition of White Turmeric (Curcuma zedoaria Concentrated Base on Quality Antioxidant Activity, Total Phenol, Protein Content and Salt Content of Salted Egg

    Directory of Open Access Journals (Sweden)

    Mu’addimah Mu’addimah


    Full Text Available The purposes of this research was to determine the effect of Curcuma zedoaria concentrated addition on quality antioxidant activity, total phenols, protein content and salt content of salted egg. The materials were duck’s egg, water, salt, and essence of white turmeric. The method was experiment using Complete Randomized Design (CRD with five treatments and three for replications. The Curcuma zedoaria juice research were divided into P0 (0%, P1 (10%, P2 (20%, P3 (30% and P4 (40%. Data was analyzed using Analysis of Variance (ANOVA and then continued by Duncan’s Multiple Range Test (DMRT, if it was found significant effect among treatmeants. The result showed that the addition of Curcuma zedoaria juice indicated highly significant different effect (P<0.01 on antioxidant activity, protein content and salt content, but significantly effect (P<0.05 on total phenol. The best treatment was the addition of Curcuma zedoaria juice 40% were indicated of antioxidant activity, total phenol, protein content and the salt content was 99.80 mg/g, 0.16%, 9.96%, 2.43% respectively.

  2. Objective coding of content and techniques in workplace-based supervision of an EBT in public mental health. (United States)

    Dorsey, Shannon; Kerns, Suzanne E U; Lucid, Leah; Pullmann, Michael D; Harrison, Julie P; Berliner, Lucy; Thompson, Kelly; Deblinger, Esther


    Workplace-based clinical supervision as an implementation strategy to support evidence-based treatment (EBT) in public mental health has received limited research attention. A commonly provided infrastructure support, it may offer a relatively cost-neutral implementation strategy for organizations. However, research has not objectively examined workplace-based supervision of EBT and specifically how it might differ from EBT supervision provided in efficacy and effectiveness trials. Data come from a descriptive study of supervision in the context of a state-funded EBT implementation effort. Verbal interactions from audio recordings of 438 supervision sessions between 28 supervisors and 70 clinicians from 17 public mental health organizations (in 23 offices) were objectively coded for presence and intensity coverage of 29 supervision strategies (16 content and 13 technique items), duration, and temporal focus. Random effects mixed models estimated proportion of variance in content and techniques attributable to the supervisor and clinician levels. Interrater reliability among coders was excellent. EBT cases averaged 12.4 min of supervision per session. Intensity of coverage for EBT content varied, with some discussed frequently at medium or high intensity (exposure) and others infrequently discussed or discussed only at low intensity (behavior management; assigning/reviewing client homework). Other than fidelity assessment, supervision techniques common in treatment trials (e.g., reviewing actual practice, behavioral rehearsal) were used rarely or primarily at low intensity. In general, EBT content clustered more at the clinician level; different techniques clustered at either the clinician or supervisor level. Workplace-based clinical supervision may be a feasible implementation strategy for supporting EBT implementation, yet it differs from supervision in treatment trials. Time allotted per case is limited, compressing time for EBT coverage. Techniques that

  3. The Effect of Gender on Motivation and Student Achievement in Digital Game-Based Learning: A Case Study of a Contented-Based Classroom (United States)

    Chung, Liang-Yi; Chang, Rong-Chi


    This study attempts to probe into the impact of learners' gender on learning outcomes and motivation. A digital game focusing on the topic of emergency first aid is designed for the purpose of this present study, according to the curriculum objectives for a content-based instruction (CBI) course as part of the experiment. In the process of playing…

  4. Modeling compositional dynamics based on GC and purine contents of protein-coding sequences

    KAUST Repository

    Zhang, Zhang


    Background: Understanding the compositional dynamics of genomes and their coding sequences is of great significance in gaining clues into molecular evolution and a large number of publically-available genome sequences have allowed us to quantitatively predict deviations of empirical data from their theoretical counterparts. However, the quantification of theoretical compositional variations for a wide diversity of genomes remains a major challenge.Results: To model the compositional dynamics of protein-coding sequences, we propose two simple models that take into account both mutation and selection effects, which act differently at the three codon positions, and use both GC and purine contents as compositional parameters. The two models concern the theoretical composition of nucleotides, codons, and amino acids, with no prerequisite of homologous sequences or their alignments. We evaluated the two models by quantifying theoretical compositions of a large collection of protein-coding sequences (including 46 of Archaea, 686 of Bacteria, and 826 of Eukarya), yielding consistent theoretical compositions across all the collected sequences.Conclusions: We show that the compositions of nucleotides, codons, and amino acids are largely determined by both GC and purine contents and suggest that deviations of the observed from the expected compositions may reflect compositional signatures that arise from a complex interplay between mutation and selection via DNA replication and repair mechanisms.Reviewers: This article was reviewed by Zhaolei Zhang (nominated by Mark Gerstein), Guruprasad Ananda (nominated by Kateryna Makova), and Daniel Haft. 2010 Zhang and Yu; licensee BioMed Central Ltd.

  5. Hydrogen storage performance of Ti-V-based BCC phase alloys with various Fe content

    International Nuclear Information System (INIS)

    Yu, X.B.; Feng, S.L.; Wu, Z.; Xia, B.J.; Xu, N.X.


    The effect of Fe content on hydrogen storage characteristics of Ti-10Cr-18Mn-(32-x)V-xFe (x = 0, 2, 3, 4, 5) alloys has been investigated at 353 K. The X-ray diffraction (XRD) patterns and scanning electron microscopy (SEM) images of the alloys present BCC and C14 two-phase structures for all of the Fe-containing alloys. With the increasing Fe content, the lattice parameters of the BCC phase decrease, which results in an increase of the hydrogen desorption plateau pressure of the alloys. Among the studied alloys, Ti-10Cr-18Mn-27V-5Fe alloy exhibits the smallest PCT plateau slope and a more suitable plateau pressure (0.1 MPa equ <1 MPa). The maximum and effective capacities of the alloy are 3.32 wt.% and 2.26 wt.%, respectively, which are higher than other reported Fe-containing BCC phase alloys. In addition, the V/Fe ratio in this alloy is close to that of (VFe) alloy, whose cost is much lower than that of pure V

  6. Towards an Enhanced Aspect-based Contradiction Detection Approach for Online Review Content (United States)

    Nuradilah Azman, Siti; Ishak, Iskandar; Sharef, Nurfadhlina Mohd; Sidi, Fatimah


    User generated content as such online reviews plays an important role in customer’s purchase decisions. Many works have focused on identifying satisfaction of the reviewer in social media through the study of sentiment analysis (SA) and opinion mining. The large amount of potential application and the increasing number of opinions expresses on the web results in researchers interest on sentiment analysis and opinion mining. However, due to the reviewer’s idiosyncrasy, reviewer may have different preferences and point of view for a particular subject which in this case hotel reviews. There is still limited research that focuses on this contradiction detection in the perspective of tourism online review especially in numerical contradiction. Therefore, the aim of this paper to investigate the type of contradiction in online review which mainly focusing on hotel online review, to provide useful material on process or methods for identifying contradiction which mainly on the review itself and to determine opportunities for relevant future research for online review contradiction detection. We also proposed a model to detect numerical contradiction in user generated content for tourism industry.

  7. Determination of the carmine content based on spectrum fluorescence spectral and PSO-SVM (United States)

    Wang, Shu-tao; Peng, Tao; Cheng, Qi; Wang, Gui-chuan; Kong, De-ming; Wang, Yu-tian


    Carmine is a widely used food pigment in various food and beverage additives. Excessive consumption of synthetic pigment shall do harm to body seriously. The food is generally associated with a variety of colors. Under the simulation context of various food pigments' coexistence, we adopted the technology of fluorescence spectroscopy, together with the PSO-SVM algorithm, so that to establish a method for the determination of carmine content in mixed solution. After analyzing the prediction results of PSO-SVM, we collected a bunch of data: the carmine average recovery rate was 100.84%, the root mean square error of prediction (RMSEP) for 1.03e-04, 0.999 for the correlation coefficient between the model output and the real value of the forecast. Compared with the prediction results of reverse transmission, the correlation coefficient of PSO-SVM was 2.7% higher, the average recovery rate for 0.6%, and the root mean square error was nearly one order of magnitude lower. According to the analysis results, it can effectively avoid the interference caused by pigment with the combination of the fluorescence spectrum technique and PSO-SVM, accurately determining the content of carmine in mixed solution with an effect better than that of BP.

  8. Hydrocolloid-Based Coatings are Effective at Reducing Acrylamide and Oil Content of French Fries

    Directory of Open Access Journals (Sweden)

    Asmaa Al-Asmar


    Full Text Available French fries are popular products worldwide. However, this product is a sufferable source of high acrylamide due to high temperature and low moisture. The main objective of this study was to evaluate the effect of grass pea flour (GPF, transglutaminase (TGase-treated (GPF + TGase, chitosan (CH, and pectin (PEC hydrocolloid coating solutions on the formation of acrylamide, water retention as well as on oil content. In addition, the Daily Intake (DI and Margin of Exposure (MOE were calculated to estimate variations in risk assessment by applying coating solutions before frying. Our results showed that the highest acrylamide content was detected in the control sample, reaching a value of 2089 µg kg−1. Hydrocolloid coating solutions were demonstrated to be an effective way to reduce acrylamide formation, with the percentage of acrylamide reduction equal to 48% for PEC, >38% for CH, ≥37% for GPF + TGase, and >31% for GPF, respectively. We hypothesized that the coatings were able to increase the water retention and, thus reduce the Maillard reaction, which is responsible for acrylamide formation. In fact, the MOE value for coated French fries was increase, resulting in being closer to the safety level to avoid carcinogenic risk. Moreover, our coatings were effective in reducing oil uptake.

  9. Opening the black box: lessons learned from an interdisciplinary inquiry into the learning-based contents of brain injury rehabilitation. (United States)

    Hart, Tessa; Ferraro, Mary; Myers, Robin; Ellis, Colin A


    This article describes challenges encountered and lessons learned in an effort to explore the black box of rehabilitation. A multidisciplinary team created detailed, mutually exclusive operational definitions for the contents of learning-based treatments administered in a brain injury unit. The function and activity levels of the International Classification of Functioning, Disability and Health were used to organize content definitions, which included examples of therapy activities and therapist behaviors, such as cues. Pairs of trained coders independently identified defined learning episodes within each minute of 128 videotaped physical, occupational, or speech therapy sessions. Interrater agreement was generally acceptable and did not vary by discipline of session, discipline of coder, or whether coders were clinically trained. Disagreements typically involved the threshold for determining that a learning episode had occurred, or deciding between function and activity codes where the surface content of the sessions were similar. The focus on individual therapy sessions allowed for rich qualitative detail, but a less granular analysis will be necessary for comprehensive efforts to characterize the contents of therapy. Copyright © 2014 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  10. Characteristics of starch-based films with different amylose contents plasticised by 1-ethyl-3-methylimidazolium acetate. (United States)

    Xie, Fengwei; Flanagan, Bernadine M; Li, Ming; Truss, Rowan W; Halley, Peter J; Gidley, Michael J; McNally, Tony; Shamshina, Julia L; Rogers, Robin D


    Starch-based films plasticised by an ionic liquid, 1-ethyl-3-methylimidazolium acetate ([Emim][OAc]), were prepared by a simple compression moulding process, facilitated by the strong plasticisation effect of [Emim][OAc]. The effects of amylose content of starch (regular vs. high-amylose maize) and relative humidity (RH) during ageing of the samples on a range of structural and material characteristics were investigated. Surprisingly, plasticisation by [Emim][OAc] made the effect of amylose content insignificant, contrary to most previous studies when other plasticisers were used. In other words, [Emim][OAc] changed the underlying mechanism responsible for mechanical properties from the entanglement of starch macromolecules (mainly amylose), which has been reported as a main responsible factor previously. The crystallinity of the plasticised starch samples was low and thus was unlikely to have a major contribution to the material characteristics, although the amylose content impacted on the crystalline structure and the mobility of amorphous parts in the samples to some extent. Therefore, RH conditioning and thus the sample water content was the major factor influencing the mechanical properties, glass transition temperature, and electrical conductivity of the starch films. This suggests the potential application of ionic liquid-plasticised starch materials in areas where the control of properties by environmental RH is desired. Copyright © 2015 Elsevier Ltd. All rights reserved.

  11. IPTV Service Framework Based on Secure Authentication and Lightweight Content Encryption for Screen-Migration in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Aymen Abdullah Alsaffar


    Full Text Available These days, the advancing of smart devices (e.g. smart phones, tablets, PC, etc. capabilities and the increase of internet bandwidth enables IPTV service provider to extend their services to smart mobile devices. User can just receive their IPTV service using any smart devices by accessing the internet via wireless network from anywhere anytime in the world which is convenience for users. However, wireless network communication has well a known critical security threats and vulnerabilities to user smart devices and IPTV service such as user identity theft, reply attack, MIM attack, and so forth. A secure authentication for user devices and multimedia protection mechanism is necessary to protect both user devices and IPTV services. As result, we proposed framework of IPTV service based on secure authentication mechanism and lightweight content encryption method for screen-migration in Cloud computing. We used cryptographic nonce combined with user ID and password to authenticate user device in any mobile terminal they passes by. In addition we used Lightweight content encryption to protect and reduce the content decode overload at mobile terminals. Our proposed authentication mechanism reduces the computational processing by 30% comparing to other authentication mechanism and our lightweight content encryption reduces encryption delay to 0.259 second.

  12. Readability, suitability, and health content assessment of web-based patient education materials on colorectal cancer screening. (United States)

    Tian, Chenlu; Champlin, Sara; Mackert, Michael; Lazard, Allison; Agrawal, Deepak


    Colorectal cancer (CRC) screening rates in the Unites States are still below target level. Web-based patient education materials are used by patients and providers to provide supplemental information on CRC screening. Low literacy levels and patient perceptions are significant barriers to screening. There are little data on the quality of these online materials from a health literacy standpoint or whether they address patients' perceptions. To evaluate the readability, suitability, and health content of web-based patient education materials on colon cancer screening. Descriptive study. Web-based patient materials. Twelve reputable and popular online patient education materials were evaluated. Readability was measured by using the Flesch-Kincaid Reading Grade Level, and suitability was determined by the Suitability Assessment of Materials, a scale that considers characteristics such as content, graphics, layout/typography, and learning stimulation. Health content was evaluated within the framework of the Health Belief Model, a behavioral model that relates patients' perceptions of susceptibility to disease, severity, and benefits and barriers to their medical decisions. Each material was scored independently by 3 reviewers. Flesch-Kincaid Reading Grade Level score, Suitability Assessment of Materials score, health content score. Readability for 10 of 12 materials surpassed the maximum recommended sixth-grade reading level. Five were 10th grade level and above. Only 1 of 12 materials received a superior suitability score; 3 materials received inadequate scores. Health content analysis revealed that only 50% of the resources discussed CRC risk in the general population and <25% specifically addressed patients at high risk, such as African Americans, smokers, patients with diabetes, and obese patients. For perceived barriers to screening, only 8.3% of resources discussed embarrassment, 25% discussed pain with colonoscopy, 25% addressed cost of colonoscopy, and none

  13. In situ changes in the moisture content of heated, welded tuff based on thermal neutron measurements

    International Nuclear Information System (INIS)

    Ramirez, A.L.; Carlson, R.C.; Buscheck, T.A.


    Thermal neutron logs were collected to monitor changes in moisture content within a welded tuff rock mass heated from a borehole containing an electrical heater which remained energized for 195 days. Thermal neutron measurements were made in sampling boreholes before, during and after heating. The results generally corroborated our conceptual understanding of hydrothermal flow as well as most of the numerical modeling conducting for this study. Conceptual models have been developed in conjunction with the numerical model calculations to explain differences in the drying and re-wetting behavior above and below the heater. Numerical modeling indicated that the re-wetting of the dried-out zone was dominated by the binary diffusion of water vapor through fractures. Saturation gradients in the rock matrix resulted in relative humidity gradients which drove water vapor (primarily along fractures) back to the dried-out zone where it condensed along the fracture walls and was imbibed by the matrix. 4 refs., 28 figs

  14. Content analysis of science material in junior school-based inquiry and science process skills (United States)

    Patonah, S.; Nuvitalia, D.; Saptaningrum, E.


    The purpose of this research is to obtain the characteristic map of science material content in Junior School which can be optimized using inquiry learning model to tone the science process skill. The research method used in the form of qualitative research on SMP science curriculum document in Indonesia. Documents are reviewed on the basis of the basic competencies of each level as well as their potential to trace the skills of the science process using inquiry learning models. The review was conducted by the research team. The results obtained, science process skills in grade 7 have the potential to be trained using the model of inquiry learning by 74%, 8th grade by 83%, and grade 9 by 75%. For the dominant process skills in each chapter and each level is the observing skill. Follow-up research is used to develop instructional inquiry tools to trace the skills of the science process.

  15. Health organizations providing and seeking social support: a Twitter-based content analysis. (United States)

    Rui, Jian Raymond; Chen, Yixin; Damiano, Amanda


    Providing and seeking social support are important aspects of social exchange. New communication technologies, especially social network sites (SNSs), facilitate the process of support exchange. An increasing number of health organizations are using SNSs. However, how they provide and seek social support via SNSs has yet to garner academic attention. This study examined the types of social support provided and sought by health organizations on Twitter. A content analysis was conducted on 1,500 tweets sent by a random sample of 58 health organizations within 2 months. Findings indicate that providing informational and emotional support, as well as seeking instrumental support, were the main types of social support exchanged by health organizations through Twitter. This study provides a typology for studying social support exchanges by health organizations, and recommends strategies for health organizations regarding the effective use of Twitter.

  16. The Effects of Tabular-Based Content Extraction on Patent Document Clustering

    Directory of Open Access Journals (Sweden)

    Michael W. Berry


    Full Text Available Data can be represented in many different ways within a particular document or set of documents. Hence, attempts to automatically process the relationships between documents or determine the relevance of certain document objects can be problematic. In this study, we have developed software to automatically catalog objects contained in HTML files for patents granted by the United States Patent and Trademark Office (USPTO. Once these objects are recognized, the software creates metadata that assigns a data type to each document object. Such metadata can be easily processed and analyzed for subsequent text mining tasks. Specifically, document similarity and clustering techniques were applied to a subset of the USPTO document collection. Although our preliminary results demonstrate that tables and numerical data do not provide quantifiable value to a document’s content, the stage for future work in measuring the importance of document objects within a large corpus has been set.

  17. Content- And Language-Integrated Learning- Based Strategies For The Professional Development Of Early Childhood Education Pre-Service Teachers

    Directory of Open Access Journals (Sweden)

    Roberto Alvira


    Full Text Available This research article presents the results of an exploratory study that was conducted with a group of 14 early childhood education pre-service teachers at a private Colombian university. It intended to determine: 1 The amount of metalanguage expressions used for the teaching of English as a Foreign Language (EFL and used for the teaching of contents in FL. 2 The amount of concepts related to the previous topics pre-service teachers were able to learn in a 7-session (14 face-to-face hours course based on a methodology inspired by the approach of Content and Language Integrated learning (CLIL, using songs, rhymes, and poems in English to young children. 3 The degree of difficulty the pre-service teachers perceived about teaching English and contents in English to young children. The study is quasi experimental because it was performed with pre-study and post-study tests of only one group, and it is quantitative because only quantitative data were analyzed using a non-parametric statistical hypothesis test and a non-parametric measure of rank correlation. The pre-service teachers were found to successfully learn vocabulary and concepts, but their perceptions about the degree of difficulty of teaching English as a Foreign Language and contents in a Foreign Language remained basically the same as they were before the course started. Besides, the correlation between the participants’ level of English and their learning process was analyzed, as well as the correlation between their level of English and their perceptions about the degree of difficulty of teaching EFL and contents in FL. The results show a strong correlation in the first case; but no correlation for the second one.

  18. Competency-Based Teaching in Radiology - Implementation and Evaluation of Interactive Workstation-Based Learning to Apply NKLM-Based Content. (United States)

    Koestner, Wolfgang; Otten, Wiebke; Kaireit, Till; Wacker, Frank K; Dettmer, Sabine


    .. · Students report improved understanding of imaging anatomy and radiological findings.. · Interactive case presentation with a DICOM viewer fosters competency-based learning.. Citation Format · Koestner W, Otten W, Kaireit T et al. Competency-Based Teaching in Radiology - Implementation and Evaluation of Interactive Workstation-Based Learning to Apply NKLM-Based Content. Fortschr Röntgenstr 2017; 189: 1076 - 1085. © Georg Thieme Verlag KG Stuttgart · New York.

  19. Effect of Carbon Content on the Properties of Iron-Based Powder Metallurgical Parts Produced by the Surface Rolling Process

    Directory of Open Access Journals (Sweden)

    Yan Zhao


    Full Text Available In recent years, the rolling densification process has become increasingly widely used to strengthen powder metallurgy parts. The original composition of the rolled powder metallurgy blank has a significant effect on the rolling densification technology. The present work investigated the effects of different carbon contents (0 wt. %, 0.2 wt. %, 0.45 wt. %, and 0.8 wt. % on the rolling densification. The selection of the raw materials in the surface rolling densification process was analyzed based on the pore condition, structure, hardness, and friction performance of the materials. The results show that the 0.8 wt. % carbon content of the surface rolling material can effectively improve the properties of iron-based powder metallurgy parts. The samples with 0.8 wt. % carbon have the highest surface hardness (340 HV0.1 and the lowest surface friction coefficient (0.35. Even if the dense layer depth is 1.13 mm, which is thinner than other samples with low carbon content, it also meets the requirements for powder metallurgy parts such as gears used in the auto industry.

  20. Microscale characterisation of stochastically reconstructed carbon fiber-based Gas Diffusion Layers; effects of anisotropy and resin content (United States)

    Yiotis, Andreas G.; Kainourgiakis, Michael E.; Charalambopoulou, Georgia C.; Stubos, Athanassios K.


    A novel process-based methodology is proposed for the stochastic reconstruction and accurate characterisation of Carbon fiber-based matrices, which are commonly used as Gas Diffusion Layers in Proton Exchange Membrane Fuel Cells. The modeling approach is efficiently complementing standard methods used for the description of the anisotropic deposition of carbon fibers, with a rigorous model simulating the spatial distribution of the graphitized resin that is typically used to enhance the structural properties and thermal/electrical conductivities of the composite Gas Diffusion Layer materials. The model uses as input typical pore and continuum scale properties (average porosity, fiber diameter, resin content and anisotropy) of such composites, which are obtained from X-ray computed microtomography measurements on commercially available carbon papers. This information is then used for the digital reconstruction of realistic composite fibrous matrices. By solving the corresponding conservation equations at the microscale in the obtained digital domains, their effective transport properties, such as Darcy permeabilities, effective diffusivities, thermal/electrical conductivities and void tortuosity, are determined focusing primarily on the effects of medium anisotropy and resin content. The calculated properties are matching very well with those of Toray carbon papers for reasonable values of the model parameters that control the anisotropy of the fibrous skeleton and the materials resin content.

  1. [Effects of supplemental irrigation based on measuring soil water content on wheat photosynthetic characteristics and dry matter accumulation and allocation]. (United States)

    Wang, Hong-guang; Yu, Zhen-wen; Zhang, Yong-li; Wang, Dong; Shi, Yu; Xu, Zhen-zhu


    Taking high-yielding winter wheat cultivar Jimai 22 as test material, a field experiment was conducted to study the effects of supplemental irrigation based on measuring soil water content on the wheat photosynthetic characteristics and dry matter accumulation and allocation. Six treatments were installed, i. e., W1 (soil relative water content was 65% at jointing stage and was 70% at anthesis), DW1 (soil relative water content was 65% 10 d after jointing and was 70% at anthesis), W2 (soil relative water content was 75% at jointing and was 70% at anthesis), DW2 (soil relative water content was 75% 10 d after jointing and was 70% at anthesis), W3 (soil relative water content was 80% at jointing stage and was 70% at anthesis), and DW3 (soil relative water content was 80% 10 d after jointing and was 70% at anthesis). In treatments W2 and DW2, the flag leaf photosynthetic rate (P(n)) and phi(PS II) at late filling stage were higher than those in treatments W3 and DW3, respectively, the dry matter accumulation amount at anthesis and maturity stage and the allocation of accumulated dry matter at pre-anthesis to grain were significantly higher than those in treatments W1 and DW1, and the water use efficiency (WUE) and irrigation production efficiency (IPE) were significantly higher than those in W3 and DW3. Under the same irrigation levels, the flag leaf P(n), and phi(PS II) at late filling stage were higher in treatments DW2 and DW3 than in W2 and W3, respectively, and the dry matter accumulation amount at anthesis and its allocation to grain were lower whereas the dry matter accumulation amount after anthesis, the grain yield, WUE, and IPE were higher in DW2 and DW3 than in W2 and W3. Under our experimental condition, DW2 could be the optimal irrigation pattern of high-yielding with high WUE.

  2. Content Interactivity: The Effect of Higher Levels of Interactivity on Learner Performance Outcomes and Satisfaction in Web-Based Military Training (United States)

    Kenyon, Peggy L.


    The effect of content interactivity on performance outcomes and satisfaction has been studied by researchers who compared the results of Web-based and computer-based learning to classroom learning. Few scholars have compared the effects of the same content produced at different levels (low and high) of interactivity and the resulting effects. The…

  3. Rapid determination of the fat, moisture, and protein contents in homogenized chicken eggs based on near-infrared reflectance spectroscopy. (United States)

    Zhao, Qingna; Lv, Xueze; Jia, Yaxiong; Chen, Yu; Xu, Guiyun; Qu, Lujiang


    Current analytical methods used for composition analysis of egg products are time consuming and laborious. We developed a near-infrared reflectance spectroscopy (NIRS)-based method to determine the fat, moisture, and protein contents in homogenized egg yolk and the moisture and protein contents in homogenized egg albumen to substitute for conventional methods. The coefficients of determination in the external validation set (R2P) were over 0.8 for all chemical compositions. The ratios of performance to standard deviation (RPD) were 4.38, 2.25, 2.28, 2.31, and 3.03 for fat, moisture, protein and moisture in the egg yolk, and protein in the egg albumen, respectively. Thus, NIR spectroscopy could be an efficient tool for quantitative analysis of the nutrients in chicken eggs.

  4. Evaluation of Radar Vegetation Indices for Vegetation Water Content Estimation Using Data from a Ground-Based SMAP Simulator (United States)

    Srivastava, Prashant K.; O'Neill, Peggy; Cosh, Michael; Lang, Roger; Joseph, Alicia


    Vegetation water content (VWC) is an important component of microwave soil moisture retrieval algorithms. This paper aims to estimate VWC using L band active and passive radar/radiometer datasets obtained from a NASA ground-based Soil Moisture Active Passive (SMAP) simulator known as ComRAD (Combined Radar/Radiometer). Several approaches to derive vegetation information from radar and radiometer data such as HH, HV, VV, Microwave Polarization Difference Index (MPDI), HH/VV ratio, HV/(HH+VV), HV/(HH+HV+VV) and Radar Vegetation Index (RVI) are tested for VWC estimation through a generalized linear model (GLM). The overall analysis indicates that HV radar backscattering could be used for VWC content estimation with highest performance followed by HH, VV, MPDI, RVI, and other ratios.

  5. Nutrient Content And Acceptability Of Snakehead-Fish (Ophiocephalus Striatus) And Pumpkin (Cucurbita Moschata) Based Complementary Foods (United States)

    Ratna Noer, Etika; Candra, Aryu; Panunggal, Binar


    Poor nutrient-dense complementary foods is one of the common factors contributed for decline growth pattern in children. Snakehead-fish and Pumpkin Complementary Feeding (SPCF) base on locally food can help to reduce child malnutrition. Specifically, high protein and vitamin A in SPCF may improve immunity and nutrition status of malnutrition children. This study aimed to formulate low-cost, nutritive value and acceptable of SPCF on malnutrition children in coastal area. Carbohydrate content was determined by difference, protein by Kjeldahl, betacaroten by spectofotometri and sensory evaluation using a five point hedonic scale. Fe and zinc was determined by AAS. There is an effect of the substitution of snake-head fish flour and yellow pumpkin flour toward the nutrient content and the acceptability

  6. "Mano a Mano": Arts-Based Nonfiction Literacy and Content Area Learning (United States)

    Bryce, Nadine


    At the James Weldon Johnson Leadership Academy in East Harlem, New York, administrators, teachers, students, families, and community-based artists worked together to create a visually explosive environment that reflected enriched learning experiences based on their multidisciplinary study of New York's history. The Mano a Mano ("Hand to…

  7. Canonical Pedagogical Content Knowledge by Cores for Teaching Acid-Base Chemistry at High School (United States)

    Alvarado, Clara; Cañada, Florentina; Garritz, Andoni; Mellado, Vicente


    The topic of acid-base chemistry is one of the oldest in general chemistry courses and it has been almost continuously in academic discussion. The central purpose of documenting the knowledge and beliefs of a group of ten Mexican teachers with experience in teaching acid-base chemistry in high school was to know how they design, prepare and…

  8. Effects of a Problem-based Structure of Physics Contents on Conceptual Learning and the Ability to Solve Problems (United States)

    Becerra-Labra, Carlos; Gras-Martí, Albert; Martínez Torregrosa, Joaquín


    A model of teaching/learning is proposed based on a 'problem-based structure' of the contents of the course, in combination with a training in paper and pencil problem solving that emphasizes discussion and quantitative analysis, rather than formulae plug-in. The aim is to reverse the high failure and attrition rate among engineering undergraduates taking physics. A number of tests and questionnaires were administered to a group of students following a traditional lecture-based instruction, as well as to another group that was following an instruction scheme based on the proposed approach and the teaching materials developed ad hoc. The results show that students following the new method can develop scientific reasoning habits in problem-solving skills, and show gains in conceptual learning, attitudes and interests, and that the effects of this approach on learning are noticeable several months after the course is over.

  9. Chemometric discrimination of different tomato cultivars based on their volatile fingerprint in relation to lycopene and total phenolics content. (United States)

    Socaci, Sonia A; Socaciu, Carmen; Mureşan, Crina; Fărcaş, Anca; Tofană, Maria; Vicaş, Simona; Pintea, Adela


    The characteristic flavour of tomato is given by a complex mixture of sugars, acids, amino acids, minerals and volatile metabolites. Of these, volatile compounds are considered to greatly influence the flavour of tomato fruits. The volatile aroma compounds and phytochemical content of tomatoes are dependent on genotype, environmental conditions and cultural practices, and can thus be used for cultivar discrimination. To assess the possibility of using the volatile profile of tomato to fingerprint and discriminate different tomato cultivars based on an 'in-tube extraction' technique coupled to gas chromatography, combined with mass spectrometry (ITEX/GC-MS) and a chemometric approach. Using the ITEX/GC-MS technique, 61 volatiles were analysed and separated from tomato cultivars, with 58 being identified. The main volatiles identified in all tomato cultivars were: hexanal, trans-2-hexenal, 1-hexanol, 3-pentanone, 3-methylbutanol, 2-methylbutanol, 3-methylbutanal and 6-methyl-5-hepten-2-one. The lycopene content and total phenolic compound content of the tomato cultivars varied between 36.78 and 73.18 mg/kg fresh weight (fw) and from 119.4 to 253.7 mg of gallic acid equivalents (GAE) per kilogram fresh weight, respectively. Volatile fingerprint and phytochemical composition led to a good differentiation between tomato cultivars, with the first two principal components explaining 89% of the variance in the data. The tomato cultivars studied were easily discriminated based on their characteristic volatile profile that was obtained using the reliable ITEX/GC-MS technique. Principal component analysis revealed, in addition to volatile compounds, the important role played by the total phenolic content in tomato cultivar discrimination, which is highly correlated with phenotypic and biochemical differences between tomato cultivars. Copyright © 2013 John Wiley & Sons, Ltd.

  10. Annual summary of the Oak Ridge Environmental Information System 1994 data base contents

    International Nuclear Information System (INIS)

    James, T.L.; Zygmunt, B.C.; Hines, J.F.


    The environmental measurements and geographic data bases of the Oak Ridge Environmental Information System (OREIS) contain data of known quality that can be accessed by OREIS users. The data within OREIS include environmental measurements data from the following environmental media: groundwater, surface water, sediment, soils, air, and biota. The types of environmental data within OREIS include but are not limited to chemical, biological, ecological, radiological, geophysical, and lithological data. Coordinate data within the environmental measurements data base provide the spatial context of the measurements data and are used to link the measurements data to the geographic data base. Descriptive and qualifier metadata are also part of the data bases. As of 30 September 1994, the OREIS environmental measurements data base consisted of approximately 380,000 rows associated with data generated by environmental restoration projects. The data base also contained 3,400 supporting codes and other reference data rows. Geographic data included the S-16A base map for the Oak Ridge Reservation, boundaries for operable units and ORNL waste area groupings, boundaries of groundwater coordination areas, contours generated as a result of the gamma radiation survey, representations of the environmentally sensitive areas, information received as part of the remedial investigation of East Fork Poplar Creek, high resolution background raster images for the three ORR installations, and locations of wells and other point features generated from ORACLE tables

  11. High-efficient and high-content cytotoxic recording via dynamic and continuous cell-based impedance biosensor technology. (United States)

    Hu, Ning; Fang, Jiaru; Zou, Ling; Wan, Hao; Pan, Yuxiang; Su, Kaiqi; Zhang, Xi; Wang, Ping


    Cell-based bioassays were effective method to assess the compound toxicity by cell viability, and the traditional label-based methods missed much information of cell growth due to endpoint detection, while the higher throughputs were demanded to obtain dynamic information. Cell-based biosensor methods can dynamically and continuously monitor with cell viability, however, the dynamic information was often ignored or seldom utilized in the toxin and drug assessment. Here, we reported a high-efficient and high-content cytotoxic recording method via dynamic and continuous cell-based impedance biosensor technology. The dynamic cell viability, inhibition ratio and growth rate were derived from the dynamic response curves from the cell-based impedance biosensor. The results showed that the biosensors has the dose-dependent manners to diarrhetic shellfish toxin, okadiac acid based on the analysis of the dynamic cell viability and cell growth status. Moreover, the throughputs of dynamic cytotoxicity were compared between cell-based biosensor methods and label-based endpoint methods. This cell-based impedance biosensor can provide a flexible, cost and label-efficient platform of cell viability assessment in the shellfish toxin screening fields.

  12. Touch-based interfaces for interacting with 3D content in public exhibitions. (United States)

    Hachet, Martin; de la Rivière, Jean-Baptiste; Laviole, Jérémy; Cohé, Aurélie; Cursan, Sébastien


    A museum exhibition on the Lascaux caves provides the opportunity to experiment with touch-based interfaces manipulating 3D virtual objects. The researchers targeted three tasks: observing rare objects, reassembling object fragments, and reproducing artwork.

  13. PDF Estimation and Liquid Water Content Based Attenuation Modeling for Fog in Terrestrial FSO Links

    Directory of Open Access Journals (Sweden)

    S. S. Muhammad


    Full Text Available Terrestrial Free-space optical communication (FSO links have yet to achieve a mass market success due to the ever elusive 99.999% availability requirement. The terrestrial FSO links are heavily affected by atmospheric fog. To design systems which can achieve high availability and reliability in the presence of fog, accurate and better models of fog attenuation need to be developed. The current article puts forth appropriate probability density function estimates for received signal strength (hereafter RSS under fog conditions, where variations in the RSS during foggy events have been statistically characterized. Moreover, from the surface observations of fog density, liquid water content (hereafter LWC of fog is estimated. The actual measured optical attenuations are then compared with the optical attenuations estimated from LWC. The results presented suggest that fog density measurements carried out are accurate representation of the fog intensity and the attenuation predictions obtained by the LWC estimate match the actual measured optical attenuations. This suggests that the LWC is a useful parameter besides visibility range to predict optical attenuations in the presence of hydrometeors.

  14. Web-based document and content management with off-the-shelf software

    International Nuclear Information System (INIS)

    Schuster, J.


    This, then, is the current status of the project: Since we made the switch to Intradoc, we are now treating the project as a document and image management system. In reality, it could be considered a document and content management system since we can manage almost any file input to the system such as video or audio. At present, however, we are concentrating on images. As mentioned above, my CRADA funding was only targeted at including thumbnails of images in Intradoc. We still had to modify Intradoc so that it would compress images submitted to the system. All processing of files submitted to Intradoc is handled in what is called the Document Refinery. Even though MrSID created thumbnails in the process of compressing an image, work needed to be done to somehow build this capability into the Document Refinery. Therefore we made the decision to contract the Intradoc Engineering Team to perform this custom development work. To make Intradoc even more capable of handling images, we have also contracted for customization of the Document Refinery to accept Adobe PhotoShop and Illustrator file in their native format

  15. Lexically Allusive Content of Semantic Frames (Based on the Works of John Fowles

    Directory of Open Access Journals (Sweden)

    Aleksandra Aleksandrovna Akatova


    Full Text Available The semantic frame is a cognitive model, some mental structure that unites the world map and the thesaurus of a person, the hierarchy of meanings and values of the linguistic model of the world. Conceptual-cognitive content of a semantic frame includes three constituents: the reader, the author, and culture. The postmodernistic metatext, a vivid example of which is the metatext of John Fowles, is made of lexical-semantic frames, filled with allusions, general cultural precedent phenomena, cross-references, leitmotif lexemes. The frames of "freedom" and "game" exemplify integrated leitmotif of enclosed space, sea, theater, meta-theatre, god, god's imitations, magician (wizard, and fool. The application of a semantic frames method for the analysis of lexical-allusive elements in the works of John Fowles (The Aristos, The Magus, The Ebony Tower, Daniel Martin, French Lieutenant's Woman, A Maggot, Wormholes allowed to identify the net of allusive inclusions and arrange them into lexical-semantic frames, which helped to decode linguocultural metatext of the society and the individual (author. The interpretation of linguistic and cultural items in the text has lead to distinguishing the dominant frame of the metatext, that is "freedom". It is stated that creativity is freedom in action, responsibility is the condition for complete freedom, the path from the Fool to the Magician is the way from blindness of the stereotypes in the society to the intrinsic vision of internal freedom and unifying meaning of existence.

  16. The myImageAnalysis Project: A Web-Based Application for High-Content Screening


    Szafran, Adam T.; Mancini, Michael A.


    A major challenge faced by screening centers developing image-based assays is the wide range of assays needed compared to the limited resources that are available to effectively analyze and manage them. To overcome this limitation, we have developed the web-based myImageAnalysis (mIA) application, integrated with an open database connectivity compliant database and powered by Pipeline Pilot (PLP) that incorporates dataset tracking, scheduling and archiving, image analysis, and data reporting....

  17. Evidence-Based Practice Point-of-Care Resources: A Quantitative Evaluation of Quality, Rigor, and Content. (United States)

    Campbell, Jared M; Umapathysivam, Kandiah; Xue, Yifan; Lockwood, Craig


    Clinicians and other healthcare professionals need access to summaries of evidence-based information in order to provide effective care to their patients at the point-of-care. Evidence-based practice (EBP) point-of-care resources have been developed and are available online to meet this need. This study aimed to develop a comprehensive list of available EBP point-of-care resources and evaluate their processes and policies for the development of content, in order to provide a critical analysis based upon rigor, transparency and measures of editorial quality to inform healthcare providers and promote quality improvement amongst publishers of EBP resources. A comprehensive and systematic search (Pubmed, CINAHL, and Cochrane Central) was undertaken to identify available EBP point-of-care resources, defined as "web-based medical compendia specifically designed to deliver predigested, rapidly accessible, comprehensive, periodically updated, and evidence-based information (and possibly also guidance) to clinicians." A pair of investigators independently extracted information on general characteristics, content presentation, editorial quality, evidence-based methodology, and breadth and volume. Twenty-seven summary resources were identified, of which 22 met the predefined inclusion criteria for EBP point-of-care resources, and 20 could be accessed for description and assessment. Overall, the upper quartile of EBP point-of-care providers was assessed to be UpToDate, Nursing Reference Centre, Mosby's Nursing Consult, BMJ Best Practice, and JBI COnNECT+. The choice of which EBP point-of-care resources are suitable for an organization is a decision that depends heavily on the unique requirements of that organization and the resources it has available. However, the results presented in this study should enable healthcare providers to make that assessment in a clear, evidence-based manner, and provide a comprehensive list of the available options. © 2015 Sigma Theta Tau

  18. Fermentable short chain carbohydrate (FODMAP) content of common plant-based foods and processed foods suitable for vegetarian- and vegan-based eating patterns. (United States)

    Tuck, C; Ly, E; Bogatyrev, A; Costetsou, I; Gibson, P; Barrett, J; Muir, J


    The low FODMAP (fermentable, oligo-, di-, mono-saccharides and polyols) diet is an effective strategy to improve symptoms of irritable bowel syndrome. However, combining the low FODMAP diet with another dietary restriction such as vegetarianism/veganism is challenging. Greater knowledge about the FODMAP composition of plant-based foods and food processing practices common to vegetarian/vegan eating patterns would assist in the implementation of the diet in this patient population. The present study aimed to quantify the FODMAP content of plant-based foods common in vegetarian/vegan diets and to investigate whether food processing can impact FODMAP levels. Total FODMAP content was quantified in 35 foods, including fructose-in-excess-of-glucose, lactose, sorbitol, mannitol, galacto-oligosaccharide and total fructan, using high-performance-liquid-chromatography and enzymatic assays. The effects of cooking, sprouting, pickling, fermentation, activation and canning on FODMAP content were assessed. The Monash University criteria to classify foods as low FODMAP was used. Of the 35 foods, 20 were classified as low FODMAP, including canned coconut milk (0.24 g serve -1 ), dulse (0.02 serve -1 ), nutritional yeast (0.01 serve -1 ), soy cheese (0.03 serve -1 ), tempeh (0.26 serve -1 ), wheat gluten (0.13 serve -1 ) and wheat grass (0.05 serve -1 ). No FODMAPs were detected in agar-agar, egg replacer, vegan egg yolk, kelp noodles and spirulina. Food processing techniques that produced the greatest reduction in FODMAP content included pickling and canning. The present study provides a greater FODMAP composition knowledge of plant-based foods that can now be applied to the dietetic management of vegetarians/vegans requiring a low FODMAP diet. Food processing lowered the FODMAP content of foods, thereby increasing options for patients following a low FODMAP diet. © 2018 The British Dietetic Association Ltd.

  19. A two-stage stochastic rule-based model to determine pre-assembly buffer content (United States)

    Gunay, Elif Elcin; Kula, Ufuk


    This study considers instant decision-making needs of the automobile manufactures for resequencing vehicles before final assembly (FA). We propose a rule-based two-stage stochastic model to determine the number of spare vehicles that should be kept in the pre-assembly buffer to restore the altered sequence due to paint defects and upstream department constraints. First stage of the model decides the spare vehicle quantities, where the second stage model recovers the scrambled sequence respect to pre-defined rules. The problem is solved by sample average approximation (SAA) algorithm. We conduct a numerical study to compare the solutions of heuristic model with optimal ones and provide following insights: (i) as the mismatch between paint entrance and scheduled sequence decreases, the rule-based heuristic model recovers the scrambled sequence as good as the optimal resequencing model, (ii) the rule-based model is more sensitive to the mismatch between the paint entrance and scheduled sequences for recovering the scrambled sequence, (iii) as the defect rate increases, the difference in recovery effectiveness between rule-based heuristic and optimal solutions increases, (iv) as buffer capacity increases, the recovery effectiveness of the optimization model outperforms heuristic model, (v) as expected the rule-based model holds more inventory than the optimization model.

  20. Annual summary of the contents of the Oak Ridge Environmental Information System (OREIS) 1993 data base

    International Nuclear Information System (INIS)

    McCord, R.A.; Herr, D.D.; Durfee, R.C.; Land, M.L.; Monroe, F.E.; Olson, R.J.; Thomas, J.K.; Tinnel, E.P.


    The data base of the Oak Ridge Environmental Information System (OREIS) contains data of known quality that can be accessed by OREIS users. OREIS meets data management/access requirements for environmental data as specified in the Federal Facility Agreement for the Oak Ridge Reservation and the State Oversight Agreement between the State of Tennessee and the Department of Energy. The types of environmental data within OREIS include measurement data from the following environmental disciplines: groundwater, surface water, sediment, soils, air, and biota. In addition to measurement data, the OREIS data base contains extensive descriptive and qualifier metadata to help define data quality and to enable end users to analyze the appropriateness of data for their purposes. Another important aspect of measurement data is their spatial context; OREIS maintains a comprehensive library of geographic data and tools to analyze and display spatial relationships of the data. As of November 1993, the OREIS data base consists of approximately 100,000 records associated with three environmental restoration projects along with coordinate data and background map data. The data base also contains 2,700 supporting codes and other reference data records. Geographic data include the S-16A base map for the Oak Ridge Reservation, boundaries for operable units, and high-resolution raster images for each of the sites

  1. A multimedia mobile phone-based youth smoking cessation intervention: findings from content development and piloting studies. (United States)

    Whittaker, Robyn; Maddison, Ralph; McRobbie, Hayden; Bullen, Chris; Denny, Simon; Dorey, Enid; Ellis-Pegler, Mary; van Rooyen, Jaco; Rodgers, Anthony


    While most young people who smoke want to quit, few access cessation support services. Mobile phone-based cessation programs are ideal for young people: mobile phones are the most common means of peer communication, and messages can be delivered in an anonymous manner, anywhere, anytime. Following the success of our text messaging smoking cessation program, we developed an innovative multimedia mobile phone smoking cessation intervention. The aim of the study was to develop and pilot test a youth-oriented multimedia smoking cessation intervention delivered solely by mobile phone. Development included creating content and building the technology platform. Content development was overseen by an expert group who advised on youth development principles, observational learning (from social cognitive theory), effective smoking cessation interventions, and social marketing. Young people participated in three content development phases (consultation via focus groups and an online survey, content pre-testing, and selection of role models). Video and text messages were then developed, incorporating the findings from this research. Information technology systems were established to support the delivery of the multimedia messages by mobile phone. A pilot study using an abbreviated 4-week program of video and text content tested the reliability of the systems and the acceptability of the intervention. Approximately 180 young people participated in the consultation phase. There was a high priority placed on music for relaxation (75%) and an interest in interacting with others in the program (40% would read messages, 36% would read a blog). Findings from the pre-testing phase (n = 41) included the importance of selecting "real" and "honest" role models with believable stories, and an interest in animations (37%). Of the 15 participants who took part in the pilot study, 13 (87%) were available for follow-up interviews at 4 weeks: 12 participants liked the program or liked it most

  2. User satisfaction with the structure and content of the NEXit intervention, a text messaging-based smoking cessation programme

    Directory of Open Access Journals (Sweden)

    Ulrika Müssener


    Full Text Available Abstract Background Smoking is still the leading cause of preventable ill health and death. There is a limited amount of evidence for effective smoking cessation interventions among young people. To address this, a text messaging-based smoking cessation programme, the NEXit intervention, was developed. Short-term effectiveness, measured immediately after the 12-week intervention revealed that 26% of smokers in the intervention group had prolonged abstinence compared with 15% in the control group. The present study was performed to explore the users’ experiences of the structure and content of the intervention in order to further develop the intervention. Methods Students participating in the main NEXit randomized controlled trial were invited to grade their experiences of the structure and content of the intervention after having completed follow-up. The participants received an e-mail with an electronic link to a short questionnaire. Descriptive analysis of the distribution of the responses to the questionnaire was performed. Free-text comments to 14 questions were analysed. Results The response rate for the user feedback questionnaire was 35% (n = 289/827 and 428 free-text comments were collected. The first motivational phase of the intervention was appreciated by 55% (158/289 of the participants. Most participants wanted to quit smoking immediately and only 124/289 (43% agreed to have to decide a quit-date in the future. Most participants 199/289 (69% found the content of the messages in the core programme to be very good or good, and the variability between content types was appreciated by 78% (224/289. Only 34% (97/289 of the participants thought that all or nearly all messages were valuable, and some mentioned that it was not really the content that mattered, but that the messages served as a reminder about the decision to quit smoking. Conclusions The programme was largely perceived satisfactory in most aspects concerning structure

  3. Effect of MoSi2 Content on Dry Sliding Tribological Properties of Zr-Based Bulk Metallic Glass Composites (United States)

    Liu, Longfei; Yang, Jun


    Zr55Cu30Al10Ni5 bulk metallic glass and its composites were prepared by suction casting into a copper mold. The effect of MoSi2 content on the tribological behavior of Zr55Cu30Al10Ni5 BMG was studied by using a high-speed reciprocating friction and wear tester. The results indicate that the friction coefficient and wear resistance of the BMGs can be improved by a certain amount of crystalline phase induced by MoSi2 content from 1 to 3% and deteriorated with MoSi2 content of 4%. The wear mechanism of both the metallic glass and its composite is abrasive wear. The mechanism of crystalline phase-dependent tribological properties of the composite was discussed based on the wear track and mechanical properties in the present work. The wear behavior of Zr55Cu30Al10Ni5 BMG and its composite indicates that a good combination of the toughness and the hardness can make the composite be well wear resistant.

  4. First Aid and Transportation Course Contents Based on Experience gained in the Iran-Iraq War: a Qualitative Study. (United States)

    Sarhangi, Forogh; Gholami, Hamid Reza; Khaghanizade, Morteza; Najafi Mehri, Soheil


    Effective first aid and transportation influences injury-induced mortality. But few qualitative studies have been conducted so far in this area. The aim of this study was to identify the content of the first aid and patient transportation course based on experience gained from the Iran-Iraq war. This was a conventional qualitative content analysis study; a purposeful sample of 14 first aid and transportation experts who had worked during the Iran-Iraq war was recruited. We collected and analyzed the study data by using the semi-structured interview method and the conventional content analysis approach respectively. Each interview transcript was reviewed several times. Words, sentences, and paragraphs were labeled with codes. Codes were compared with each other and categorized according to their similarities. Similar sub-categories and categories were also grouped together and formed themes. Study participants' experiences of wartime first aid and transportation (FAT) education fell into two main themes including 'the congruence of education and educational needs' and 'managers' engagement in FAT education. The four main categories of these two themes were use of appropriate educational facilities, adopting effective teaching strategies, universal FAT education and specialized training skills. The two key requirements of the first aid and transportation courses are practicality and managerial engagement. We developed and provided specific guidance of FAT curriculum by using the study findings. This curriculum is recommended for educating FAT staffs, paramedics, emergency technicians, and military nurses.

  5. Diet Assessment Based on Rumen Contents: A Comparison between DNA Metabarcoding and Macroscopy.

    Directory of Open Access Journals (Sweden)

    Ruth V Nichols

    Full Text Available Dietary choices are central to our understanding of ecology and evolution. Still, many aspects of food choice have been hampered by time consuming procedures and methodological problems. Faster and cheaper methods, such as DNA metabarcoding, have therefore been widely adopted. However, there is still very little empirical support that this new method is better and more accurate compared to the classic methods. Here, we compare DNA metabarcoding to macroscopic identifications of rumen contents in two species of wild free-ranging ungulates: roe deer and fallow deer. We found that the methods were comparable, but they did not completely overlap. Sometimes the DNA method failed to identify food items that were found macroscopically, and the opposite was also true. However, the total number of taxa identified increased using DNA compared to the macroscopic analysis. Moreover, the taxonomic precision of metabarcoding was substantially higher, with on average 90% of DNA-sequences being identified to genus or species level compared to 75% of plant fragments using macroscopy. In niche overlap analyses, presence/absence data showed that both methods came to very similar conclusions. When using the sequence count data and macroscopic weight, niche overlap was lower than when using presence-absence data yet tended to increase when using DNA compared to macroscopy. Nevertheless, the significant positive correlation between macroscopic quantity and number of DNA sequences counted from the same plant group give support for the use of metabarcoding to quantify plants in the rumen. This study thus shows that there is much to be gained by using metabarcoding to quantitatively assess diet composition compared to macroscopic analysis, including higher taxonomic precision, sensitivity and cost efficiency.

  6. Framework for Classifying Website Content Based on Folksonomy in Social Bookmarking (United States)

    Pi, Shih-Ming; Liao, Hsiu-Li; Liu, Su-Houn; Lin, Chen-Wen

    Automated document classification approaches are divided into two major groups. The first is the group of keyword-based classification methods; these are frequently associated with unclear meanings of keywords and other issues. The second group is based on semantic analysis. Various academicians have constructed ontologies to solve semantic problems. However, ontology depends on expert knowledge of the problem domain, and the process of constructing knowledge depends on the participation of knowledge engineers. Folk classification (Folksonomy) is associated with Web2.0. Since Folksonomy is keyword-based, it still is associated with a semantic problem. This study presents an improved weighting mechanism to solve the semantic problems and the problematic effects of poor classification. The results of this study indicate that the Folksonomy-related weight classification mechanism can effectively reduce the number of classification results by more than 30% significantly improved the quality of tagging, and increased user satisfaction.

  7. Effect of Mo2C content on the properties of TiC/TiB2 base cermets

    International Nuclear Information System (INIS)

    Takagi, Ken-ichi; Osada, Ken; Koike, Wataru; Fujima, Takuya


    The effects of Mo 2 C content on the microstructure and mechanical properties of TiC/TiB 2 base cermets were studied using the model cermets with the compositions of TiC/TiB 2 -(11-17)Mo 2 C-24Ni (mass%). TiC and TiB 2 ratio is set to molar ratio of 59:41 that is near quasi-eutectic composition. As a result, both transverse rupture strength and hardness of the cermets showed maxima for the cermet containing 13% Mo 2 C. The cermet achieved remarkable microstructural refinement and still maintained characteristic core-rim structure of the TiC base cermets. TiC/TiB 2 cermets, in addition to TiCN base cermets, are a good alternative material to cemented carbides.

  8. Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding

    Directory of Open Access Journals (Sweden)

    Ying Chen


    Full Text Available Rate-distortion optimization (RDO plays an essential role in substantially enhancing the coding efficiency. Currently, rate-distortion optimized mode decision is widely used in scalable video coding (SVC. Among all the possible coding modes, it aims to select the one which has the best trade-off between bitrate and compression distortion. Specifically, this tradeoff is tuned through the choice of the Lagrange multiplier. Despite the prevalence of conventional method for Lagrange multiplier selection in hybrid video coding, the underlying formulation is not applicable to 3-D wavelet-based SVC where the explicit values of the quantization step are not available, with on consideration of the content features of input signal. In this paper, an efficient content adaptive Lagrange multiplier selection algorithm is proposed in the context of RDO for 3-D wavelet-based SVC targeting quality scalability. Our contributions are two-fold. First, we introduce a novel weighting method, which takes account of the mutual information, gradient per pixel, and texture homogeneity to measure the temporal subband characteristics after applying the motion-compensated temporal filtering (MCTF technique. Second, based on the proposed subband weighting factor model, we derive the optimal Lagrange multiplier. Experimental results demonstrate that the proposed algorithm enables more satisfactory video quality with negligible additional computational complexity.

  9. Influence of fermentation temperature on the content of fatty acids in low energy milk-based kombucha products

    Directory of Open Access Journals (Sweden)

    Malbaša Radomir V.


    Full Text Available The aim of this study was to investigate the influence of fermentation temperature on the fatty acids content in low energy milk-based products obtained by kombucha inoculums with herbal teas. In this investigation low energy milk-based kombucha products were produced from milk with 0.8% milk fat using 10% (v/v kombucha inoculums cultivated on winter savory, peppermint, stinging nettle and wild thyme. The process of fermentation was conducted at two temperatures: 40°C and 43°C. Fermentation was stopped after the pH value of 4.5 was reached. Duration of the fermentation process was shorter by applying higher fermentation temperature. Fatty acids content was determined by gas chromatography-mass spectrometry. Predominant fatty acids in all obtained products were saturated fatty acids, first of all the monounsaturated ones. The higher temperature resulted in the formation of lower amount of saturated fatty acids in the obtained milk-based kombucha products.

  10. Impairment-Factor-Based Audiovisual Quality Model for IPTV: Influence of Video Resolution, Degradation Type, and Content Type

    Directory of Open Access Journals (Sweden)

    Garcia MN


    Full Text Available This paper presents an audiovisual quality model for IPTV services. The model estimates the audiovisual quality of standard and high definition video as perceived by the user. The model is developed for applications such as network planning and packet-layer quality monitoring. It mainly covers audio and video compression artifacts and impairments due to packet loss. The quality tests conducted for model development demonstrate a mutual influence of the perceived audio and video quality, and the predominance of the video quality for the overall audiovisual quality. The balance between audio quality and video quality, however, depends on the content, the video format, and the audio degradation type. The proposed model is based on impairment factors which quantify the quality-impact of the different degradations. The impairment factors are computed from parameters extracted from the bitstream or packet headers. For high definition video, the model predictions show a correlation with unknown subjective ratings of 95%. For comparison, we have developed a more classical audiovisual quality model which is based on the audio and video qualities and their interaction. Both quality- and impairment-factor-based models are further refined by taking the content-type into account. At last, the different model variants are compared with modeling approaches described in the literature.

  11. A Comparison of Two Content Area Curriculum-Based Measurement Tools (United States)

    Ford, Jeremy W.; Conoyer, Sarah J.; Lembke, Erica S.; Smith, R. Alex; Hosp, John L.


    In the present study, two types of curriculum-based measurement (CBM) tools in science, Vocabulary Matching (VM) and Statement Verification for Science (SV-S), a modified Sentence Verification Technique, were compared. Specifically, this study aimed to determine whether the format of information presented (i.e., SV-S vs. VM) produces differences…

  12. The Effect of Incorporating Good Learners' Ratings in e-Learning Content-Based Recommender System (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza


    One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on…

  13. The myImageAnalysis project: a web-based application for high-content screening. (United States)

    Szafran, Adam T; Mancini, Michael A


    A major challenge faced by screening centers developing image-based assays is the wide range of assays needed compared to the limited resources that are available to effectively analyze and manage them. To overcome this limitation, we have developed the web-based myImageAnalysis (mIA) application, integrated with an open database connectivity compliant database and powered by Pipeline Pilot (PLP) that incorporates dataset tracking, scheduling and archiving, image analysis, and data reporting. For system administrators, mIA provides automated methods for managing and archiving data. For the biologist, this application allows those without any programming or image analysis experience to quickly develop, validate, and share results of complex image-based assays. Further, the structure of the application within PLP allows those with experience in PLP programming to easily add additional analysis tools as required. The tools within mIA allow users to assess basic (cell count, protein per cell, protein subcellular localization) and more advanced (engineered cell lines analysis, cell toxicity) biological image-based assays that employ advanced statistics and provides key assay performance metrics.

  14. MiPSCom: A ovel Content-Based Publish/Subscribe Communication ...

    African Journals Online (AJOL)


    wireless sensor networks are ad-hoc self-organizing untethered networks of smart sensors characterized by severe energy resource constraints. Dealing with sensor devices in large numbers, which are .... this channel is delivered to the client; independent of the concrete interest of the client. Subject-based addressing.

  15. Proposing a Knowledge Base for Teaching Academic Content to English Language Learners: Disciplinary Linguistic Knowledge (United States)

    Turkan, Sultan; De Oliveira, Luciana C.; Lee, Okhee; Phelps, Geoffrey


    Background/Context: The current research on teacher knowledge and teacher accountability falls short on information about what teacher knowledge base could guide preparation and accountability of the mainstream teachers for meeting the academic needs of ELLs. Most recently, research on specialized knowledge for teaching has offered ways to…

  16. Identifying content for simulation-based curricula in urology: a national needs assessment. (United States)

    Nayahangan, Leizl Joy; Bølling Hansen, Rikke; Gilboe Lindorff-Larsen, Karen; Paltved, Charlotte; Nielsen, Bjørn Ulrik; Konge, Lars


    Simulation-based training is well recognized in the transforming field of urological surgery; however, integration into the curriculum is often unstructured. Development of simulation-based curricula should follow a stepwise approach starting with a needs assessment. This study aimed to identify technical procedures in urology that should be included in a simulation-based curriculum for residency training. A national needs assessment was performed using the Delphi method involving 56 experts with significant roles in the education of urologists. Round 1 identified technical procedures that newly qualified urologists should perform. Round 2 included a survey using an established needs assessment formula to explore: the frequency of procedures; the number of physicians who should be able to perform the procedure; the risk and/or discomfort to patients when a procedure is performed by an inexperienced physician; and the feasibility of simulation training. Round 3 involved elimination and reranking of procedures according to priority. The response rates for the three Delphi rounds were 70%, 55% and 67%, respectively. The 34 procedures identified in Round 1 were reduced to a final prioritized list of 18 technical procedures for simulation-based training. The five procedures that reached the highest prioritization were cystoscopy, transrectal ultrasound-guided biopsy of the prostate, placement of ureteral stent, insertion of urethral and suprapubic catheter, and transurethral resection of the bladder. The prioritized list of technical procedures in urology that were identified as highly suitable for simulation can be used as an aid in the planning and development of simulation-based training programs.

  17. Evolving Playable Content for Cut the Rope through a Simulation-Based Approach

    DEFF Research Database (Denmark)

    Shaker, Mohammad; Shaker, Noor; Togelius, Julian


    In order to automatically generate high-quality game levels, one needs to be able to automatically verify that the levels are playable. The simulation-based approach to playability testing uses an artificial agent to play through the level, but building such an agent is not always an easy task...... and such an agent is not always readily available. We discuss this prob- lem in the context of the physics-based puzzle game Cut the Rope, which features continuous time and state space, mak- ing several approaches such as exhaustive search and reactive agents inefficient. We show that a deliberative Prolog...... in this paper is likely to be useful for a large variety of games with similar characteristics....

  18. School-based suicide prevention: content, process, and the role of trusted adults and peers. (United States)

    Joshi, Shashank V; Hartley, Samantha N; Kessler, Moira; Barstead, Maura


    Suicide is a leading cause of preventable death in youth, and numerous curricula and other prevention and intervention programs have been developed in the last 15 years. Comprehensive suicide prevention planning should include the 4 components of health promotion, prevention/education, intervention, and postvention. School-based suicide prevention and mental health education programs have become more common as an efficient and cost-effective way to reach youth. Process considerations that are based on the principles of therapeutic engagement with patients and families can provide mental health professionals with strategies that can assist education professionals, students, and the larger school community simultaneously. Copyright © 2015 Elsevier Inc. All rights reserved.

  19. Process for reducing the oxygen content of biomass using molybdenum-based catalysts

    DEFF Research Database (Denmark)


    The present invention concerns a process for converting biomass into useful organic building blocks for the chemical industry. The process involves the reduction of a polyol wherein at least two of the hydroxyl groups are located on adjacent carbon atoms in the presence of a molybdenum-based cata......The present invention concerns a process for converting biomass into useful organic building blocks for the chemical industry. The process involves the reduction of a polyol wherein at least two of the hydroxyl groups are located on adjacent carbon atoms in the presence of a molybdenum......-based catalyst of the formula (I), such as (ΝΗ4)6Μo7O24⋅4Η20. A primary or secondary monohydric C1-C4 alcohol is used as reductant, as well as a solvent....

  20. Content Based Retrieval Database Management System with Support for Similarity Searching and Query Refinement (United States)


    can pose queries via a simple point-and-click, form-based user interface without ever needing to write SQL queries. Similarity searching also allows...monotonic scor- ing functions that has been adopted by the Garlic multimedia information system under develop- ment at the IBM Almaden Research Center...product memory costs [60]. On the other hand, in Garlic , the data items returned by each stream must wait in a temporary file until the completion of the

  1. Charging process of polyurethane based composites under electronic irradiation: Effects of cellulose fiber content (United States)

    Hadjadj, Aomar; Jbara, Omar; Tara, Ahmed; Gilliot, Mickael; Dellis, Jean-Luc


    The study deals with the charging effect of polyurethanes-based composites reinforced with cellulose fibers, under electronic beam irradiation in a scanning electron microscope. The results indicate that the leakage current and the trapped charge as well as the kinetics of charging process significantly change beyond a critical concentration of 10% cellulose fibers. These features are correlated with the cellulose concentration-dependence of the electrical properties, specifically resistivity and capacitance, of the composite.

  2. Macronutrient content of plant-based food affects growth of a carnivorous arthropod. (United States)

    Wilder, Shawn M; Holway, David A; Suarez, Andrew V; Eubanks, Micky D


    Many arthropods engage in mutualisms in which they consume plant-based foods including nectar, extrafloral nectar, and honeydew. However, relatively little is known about the manner in which the specific macronutrients in these plant-based resources affect growth, especially for carnivorous arthropods. Using a combination of laboratory and field experiments, we tested (1) how plant-based foods, together with ad libitum insect prey, affect the growth of a carnivorous ant, Solenopsis invicta, and (2) which macronutrients in these resources (i.e., carbohydrates, amino acids, or both) contribute to higher colony growth. Access to honeydew increased the production of workers and brood in experimental colonies. This growth effect appeared to be due to carbohydrates alone as colonies provided with the carbohydrate component of artificial extrafloral nectar had greater worker and brood production compared to colonies deprived of carbohydrates. Surprisingly, amino acids only had a slight interactive effect on the proportion of a colony composed of brood and negatively affected worker survival. Diet choice in the laboratory and field matched performance in the laboratory with high recruitment to carbohydrate baits and only slight recruitment to amino acids. The strong, positive effects of carbohydrates on colony growth and the low cost of producing this macronutrient for plants and hemipterans may have aided the evolution of food-for-protection mutualisms and help explain why these interactions are so common in ants. In addition, greater access to plant-based resources in the introduced range of S. invicta may help to explain the high densities achieved by this species throughout the southeastern United States.

  3. Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Muhammad Imran


    Full Text Available One of the major challenges for the CBIR is to bridge the gap between low level features and high level semantics according to the need of the user. To overcome this gap, relevance feedback (RF coupled with support vector machine (SVM has been applied successfully. However, when the feedback sample is small, the performance of the SVM based RF is often poor. To improve the performance of RF, this paper has proposed a new technique, namely, PSO-SVM-RF, which combines SVM based RF with particle swarm optimization (PSO. The aims of this proposed technique are to enhance the performance of SVM based RF and also to minimize the user interaction with the system by minimizing the RF number. The PSO-SVM-RF was tested on the coral photo gallery containing 10908 images. The results obtained from the experiments showed that the proposed PSO-SVM-RF achieved 100% accuracy in 8 feedback iterations for top 10 retrievals and 80% accuracy in 6 iterations for 100 top retrievals. This implies that with PSO-SVM-RF technique high accuracy rate is achieved at a small number of iterations.

  4. Analysis of image content recognition algorithm based on sparse coding and machine learning (United States)

    Xiao, Yu


    This paper presents an image classification algorithm based on spatial sparse coding model and random forest. Firstly, SIFT feature extraction of the image; and then use the sparse encoding theory to generate visual vocabulary based on SIFT features, and using the visual vocabulary of SIFT features into a sparse vector; through the combination of regional integration and spatial sparse vector, the sparse vector gets a fixed dimension is used to represent the image; at last random forest classifier for image sparse vectors for training and testing, using the experimental data set for standard test Caltech-101 and Scene-15. The experimental results show that the proposed algorithm can effectively represent the features of the image and improve the classification accuracy. In this paper, we propose an innovative image recognition algorithm based on image segmentation, sparse coding and multi instance learning. This algorithm introduces the concept of multi instance learning, the image as a multi instance bag, sparse feature transformation by SIFT images as instances, sparse encoding model generation visual vocabulary as the feature space is mapped to the feature space through the statistics on the number of instances in bags, and then use the 1-norm SVM to classify images and generate sample weights to select important image features.

  5. Virtual Boutique: a 3D modeling and content-based management approach to e-commerce (United States)

    Paquet, Eric; El-Hakim, Sabry F.


    The Virtual Boutique is made out of three modules: the decor, the market and the search engine. The decor is the physical space occupied by the Virtual Boutique. It can reproduce any existing boutique. For this purpose, photogrammetry is used. A set of pictures of a real boutique or space is taken and a virtual 3D representation of this space is calculated from them. Calculations are performed with software developed at NRC. This representation consists of meshes and texture maps. The camera used in the acquisition process determines the resolution of the texture maps. Decorative elements are added like painting, computer generated objects and scanned objects. The objects are scanned with laser scanner developed at NRC. This scanner allows simultaneous acquisition of range and color information based on white laser beam triangulation. The second module, the market, is made out of all the merchandises and the manipulators, which are used to manipulate and compare the objects. The third module, the search engine, can search the inventory based on an object shown by the customer in order to retrieve similar objects base don shape and color. The items of interest are displayed in the boutique by reconfiguring the market space, which mean that the boutique can be continuously customized according to the customer's needs. The Virtual Boutique is entirely written in Java 3D and can run in mono and stereo mode and has been optimized in order to allow high quality rendering.

  6. Effect of structure in problem based learning on science teaching efficacy beliefs and science content knowledge of elementary preservice teachers (United States)

    Sasser, Selena Kay

    This study examined the effects of differing amounts of structure within the problem based learning instructional model on elementary preservice teachers' science teaching efficacy beliefs, including personal science teaching efficacy and science teaching outcome expectancy, and content knowledge acquisition. This study involved sixty (60) undergraduate elementary preservice teachers enrolled in three sections of elementary science methods classes at a large Midwestern research university. This study used a quasi-experimental nonequivalent design to collect and analyze both quantitative and qualitative data. Participants completed instruments designed to assess science teaching efficacy beliefs, science background, and demographic data. Quantitative data from pre and posttests was obtained using the science teaching efficacy belief instrument-preservice (STEBI-B) developed by Enochs and Riggs (1990) and modified by Bleicher (2004). Data collection instruments also included a demographic questionnaire, an analytic rubric, and a structured interview; both created by the researcher. Quantitative data was analyzed by conducting ANCOVA, paired samples t-test, and independent samples t-test. Qualitative data was analyzed using coding and themes. Each of the treatment groups received the same problem scenario, one group experienced a more structured PBL setting, and one group experienced a limited structure PBL setting. Research personnel administered pre and posttests to determine the elementary preservice teachers' science teaching efficacy beliefs. The results show elementary preservice teachers'science teaching efficacy beliefs can be influence by the problem based learning instructional model. This study did not find that the amount of structure in the form of core ideas to consider and resources for further research increased science teaching efficacy beliefs in this sample. Results from the science content knowledge rubric indicated that structure can increase

  7. Charge/discharge characteristics of sulfurized polyacrylonitrile composite with different sulfur content in carbonate based electrolyte for lithium batteries

    International Nuclear Information System (INIS)

    Wang Li; He Xiangming; Li Jianjun; Chen Min; Gao Jian; Jiang Changyin


    Highlights: ► The sulfurized polyacrylonitrile composite shows good performance. ► Stable cycling capacity over 700 mAh g −1 of the composite. ► Close to 100% utilization of elemental sulfur. ► Capacity retention over 97% after 80 cycles. ► Average capacity degradation rate less than 0.03% per cycle. - Abstract: The charge/discharge characteristics of sulfurized polyacrylonitrile composite (SPAN) cathodes with different sulfur content in conventional carbonate based electrolyte for rechargeable lithium batteries have been investigated. The good performance of SPAN in the carbonate based electrolyte indicates a material difference between SPAN and elemental sulfur/carbon composite materials. The SPAN with sulfur contents of 33.7%, 42.0% and 46.3% are prepared by control of heating time. The SPAN with sulfur content of 42.0% shows the best electrochemical performance, it can deliver stable cycling capacity over 700 mAh g −1 , and keep capacity retention over 97% after 80 cycles in the electrolyte of 1 M LiPF 6 /EC + DEC. The average capacity degradation rate is less than 0.03% per cycle excluding the first discharge capacity. Prototype 100 mAh Li/SPAN cell is assembled, showing energy density of 437 Wh kg −1 excluding the weight of package and capacity retention of 90.4% after 30 cycles at 100% depth of discharge. This study demonstrates that the sulfurized polyacrylonitrile composite in the electrolyte of 1 M LiPF 6 /EC + DEC is a promising battery chemistry, which materials are abundant, of low cost and easily available, to fabricate Li/SPAN batteries, paving an alternative avenue to develop high performance lithium batteries for energy storage and vehicular application.

  8. Kinesiology taping and the world wide web: a quality and content analysis of internet-based information. (United States)

    Beutel, Bryan G; Cardone, Dennis A


    Due to limited regulation of websites, the quality and content of online health-related information has been questioned as prior studies have shown that websites often misrepresent orthopaedic conditions and treatments. Kinesio tape has gained popularity among athletes and the general public despite limited evidence supporting its efficacy. The primary objective of this study was to assess the quality and content of Internet-based information on Kinesio taping. An Internet search using the terms "Kinesio tape" and "kinesiology tape" was performed using the Google search engine. Websites returned within the first two pages of results, as well as hyperlinks embedded within these sites, were included in the study. These sites were subsequently classified by type. The quality of the website was determined by the Health On the Net (HON) score, an objective metric based upon recommendations from the United Nations for the ethical representation of health information. A content analysis was performed by noting specific misleading versus balanced features in each website. A total of 31 unique websites were identified. The majority of the websites (71%) were commercial. Out of a total possible 16 points, the mean HON score among the websites was 8.9 points (SD 2.2 points). The number of misleading features was significantly higher than the balanced features (p < 0.001). Fifty-eight percent of sites used anecdotal testimonials to promote the product. Only small percentages of websites discussed complications, alternatives, or provided accurate medical outcomes. Overall, commercial sites had a greater number of misleading features compared to non-commercial sites (p = 0.01). Websites discussing Kinesio tape are predominantly of poor quality and present misleading, imbalanced information. It is of ever-increasing importance that healthcare providers work to ensure that reliable, balanced, and accurate information be available to Internet users. IV.

  9. Design of a Content Addressable Memory-based Parallel Processor implementing (−1+j)-based Binary Number System


    Tariq Jamil


    Contrary to the traditional base 2 binary number system, used in today’s computers, in which a complex number is represented by two separate binary entities, one for the real part and one for the imaginary part, Complex Binary Number System (CBNS), a binary number system with base (−1+j), is used to represent a given complex number in single binary string format. In this paper, CBNS is reviewed and arithmetic algorithms for this number system are presented. The design of ...

  10. Supporting High School Student Accomplishment of Biology Content Using Interactive Computer-Based Curricular Case Studies (United States)

    Oliver, Joseph Steve; Hodges, Georgia W.; Moore, James N.; Cohen, Allan; Jang, Yoonsun; Brown, Scott A.; Kwon, Kyung A.; Jeong, Sophia; Raven, Sara P.; Jurkiewicz, Melissa; Robertson, Tom P.


    Research into the efficacy of modules featuring dynamic visualizations, case studies, and interactive learning environments is reported here. This quasi-experimental 2-year study examined the implementation of three interactive computer-based instructional modules within a curricular unit covering cellular biology concepts in an introductory high school biology course. The modules featured dynamic visualizations and focused on three processes that underlie much of cellular biology: diffusion, osmosis, and filtration. Pre-tests and post-tests were used to assess knowledge growth across the unit. A mixture Rasch model analysis of the post-test data revealed two groups of students. In both years of the study, a large proportion of the students were classified as low-achieving based on their pre-test scores. The use of the modules in the Cell Unit in year 2 was associated with a much larger proportion of the students having transitioned to the high-achieving group than in year 1. In year 2, the same teachers taught the same concepts as year 1 but incorporated the interactive computer-based modules into the cell biology unit of the curriculum. In year 2, 67% of students initially classified as low-achieving were classified as high-achieving at the end of the unit. Examination of responses to assessments embedded within the modules as well as post-test items linked transition to the high-achieving group with correct responses to items that both referenced the visualization and the contextualization of that visualization within the module. This study points to the importance of dynamic visualization within contextualized case studies as a means to support student knowledge acquisition in biology.

  11. Cloud-Based Applications for Organizing and Reviewing Plastic Surgery Content. (United States)

    Luan, Anna; Momeni, Arash; Lee, Gordon K; Galvez, Michael G


    Cloud-based applications including Box, Dropbox, Google Drive, Evernote, Notability, and Zotero are available for smartphones, tablets, and laptops and have revolutionized the manner in which medical students and surgeons read and utilize plastic surgery literature. Here we provide an overview of the use of Cloud computing in practice and propose an algorithm for organizing the vast amount of plastic surgery literature. Given the incredible amount of data being produced in plastic surgery and other surgical subspecialties, it is prudent for plastic surgeons to lead the process of providing solutions for the efficient organization and effective integration of the ever-increasing data into clinical practice.

  12. Chemical durability and degradation mechanisms of HT9 based alloy waste forms with variable Zr content

    Energy Technology Data Exchange (ETDEWEB)

    Olson, L. N. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL)


    In Corrosion studies were undertaken on alloy waste forms that can result from advanced electrometallurgical processing techniques to better classify their durability and degradation mechanisms. The waste forms were based on the RAW3-(URe) composition, consisting primarily of HT9 steel and other elemental additions to simulate nuclear fuel reprocessing byproducts. The solution conditions of the corrosion studies were taken from an electrochemical testing protocol, and meant to simulate conditions in a repository. The alloys durability was examined in alkaline and acidic brines.

  13. A Cosmetic Content-Based Nutrition Education Program Improves Fruit and Vegetable Consumption Among Grade 11 Thai Students. (United States)

    Somsri, Pattraporn; Satheannoppakao, Warapone; Tipayamongkholgul, Mathuros; Vatanasomboon, Paranee; Kasemsup, Rachada


    To examine and compare the effectiveness of a cosmetic content-based nutrition education (CCBNEd) program and a health content-based nutrition education (HCBNEd) program on the promotion of fruit and vegetable (F&V) consumption. Quasi-experimental. Three secondary schools in Nonthaburi, Thailand. Three classes of students were randomly assigned to 3 study groups: experimental group 1 (n = 41) participated in the CCBNEd program, experimental group 2 (n = 35) experienced the HCBNEd program, and a comparison group (n = 37) did not participate in a program. All groups received F&V information. Data were collected between July and September, 2013. Knowledge about F&V, attitude toward F&V consumption, and the amount and variety of F&V consumed were measured at baseline, posttest, and follow-up. Nonparametric statistics were used to compare the programs' effectiveness. After the test, experimental group 1 had significantly increased knowledge scores, attitude scores, and the amount and variety of F&V consumed compared with those at baseline (P Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  14. Automatic classification for mammogram backgrounds based on bi-rads complexity definition and on a multi content analysis framework (United States)

    Wu, Jie; Besnehard, Quentin; Marchessoux, Cédric


    Clinical studies for the validation of new medical imaging devices require hundreds of images. An important step in creating and tuning the study protocol is the classification of images into "difficult" and "easy" cases. This consists of classifying the image based on features like the complexity of the background, the visibility of the disease (lesions). Therefore, an automatic medical background classification tool for mammograms would help for such clinical studies. This classification tool is based on a multi-content analysis framework (MCA) which was firstly developed to recognize image content of computer screen shots. With the implementation of new texture features and a defined breast density scale, the MCA framework is able to automatically classify digital mammograms with a satisfying accuracy. BI-RADS (Breast Imaging Reporting Data System) density scale is used for grouping the mammograms, which standardizes the mammography reporting terminology and assessment and recommendation categories. Selected features are input into a decision tree classification scheme in MCA framework, which is the so called "weak classifier" (any classifier with a global error rate below 50%). With the AdaBoost iteration algorithm, these "weak classifiers" are combined into a "strong classifier" (a classifier with a low global error rate) for classifying one category. The results of classification for one "strong classifier" show the good accuracy with the high true positive rates. For the four categories the results are: TP=90.38%, TN=67.88%, FP=32.12% and FN =9.62%.

  15. Optimal experimental designs in RPLC at variable solvent content and pH based on prediction error surfaces. (United States)

    Torres-Lapasió, J R; Pous-Torres, S; Baeza-Baeza, J J; García-Álvarez-Coque, M C


    When pH is used as factor in reversed-phase liquid chromatographic (RPLC) separations, the need for providing quality and informative data with the minimal experimental effort becomes imperative. The most rational way to achieve this is by means of experimental designs. The interest in finding optimal designs involving solvent content and pH in RPLC is considerable, since these factors allow large variations in selectivity when ionisable compounds are involved. Unfortunately, the equations that describe the retention of these compounds with pH are nonlinear. As a consequence, factorial and other designs based on geometrical considerations are not well suited, whereas D-optimal and related designs can only be applied in an iterative fashion. In this work, an extension of G-optimal designs, aimed to enhance the quality of the predictions, is examined for problems involving solvent content and pH. The study was carried out with a set of probe ionisable compounds, for which information on retention behaviour was accurately known. A stepwise strategy was used to obtain a rapid estimation of the best design with a given number of experiments. The objective of the study was to investigate the distribution and number of points in the ideal design for compounds of different acid-base behaviour, and the possibility of finding common designs for groups of compounds. A further goal was to derive design construction rules containing the information requirements, without needing any further mathematical treatment.

  16. Algorithm for Recovery of Integrated Water Vapor Content in the Atmosphere over Land Surfaces Based on Satellite Spectroradiometer Data (United States)

    Lisenko, S. A.


    An algorithm is proposed for making charts of the distribution of water vapor in the atmosphere based on multispectral images of the earth by the Ocean and Land Color Instrument (OLCI) on board of the European research satellite Sentinel-3. The algorithm is based on multiple regression fits of the spectral brightness coefficients at the upper boundary of the atmosphere, the geometric parameters of the satellite location (solar and viewing angles), and the total water vapor content in the atmosphere. A regression equation is derived from experimental data on the variation in the optical characteristics of the atmosphere and underlying surface, together with Monte-Carlo calculations of the radiative transfer characteristics. The equation includes the brightness coefficients in the near IR channels of the OLCI for the absorption bands of water vapor and oxygen, as well as for the transparency windows of the atmosphere. Together these make it possible to eliminate the effect of the reflection spectrum of the underlying surface and air pressure on the accuracy of the measurements. The algorithm is tested using data from a prototype OLCI, the medium resolution imaging spectrometer (MERIS). A sample chart of the distribution of water vapor in the atmosphere over Eastern Europe is constructed without using subsatellite data and digital models of the surface relief. The water vapor contents in the atmosphere determined using MERIS images and data provided by earthbound measurements with the aerosol robotic network (AERONET) are compared with a mean square deviation of 1.24 kg/m2.

  17. Evolution of Gluten Content in Cereal-Based Gluten-Free Products: An Overview from 1998 to 2016

    Directory of Open Access Journals (Sweden)

    María Ángeles Bustamante


    Full Text Available The treatment of Celiac disease consists in a strict lifelong gluten-free (GF diet. As the ingestion of small amounts can have damaging complications, there has been an ongoing discussion regarding the safe threshold for dietary residual gluten. The aim was to analyze the evolution of gluten content in cereal-based GF foodstuffs (n = 3141 from 1998 to 2016 measured by the enzyme-linked immunosorbent assay (ELISA technique. Eight categories were defined: flours, breakfast cereals/bars, bakery, pasta, breads, dough, snacks, and yeasts, and these were divided into GF labeled-foods (GF-L or reportedly GF foodstuffs, but not certified (GF-NC. Gluten-detection was decreased over time in line with the evolving European regulations about food information and gluten content claims. This decline started sooner in GF-L products than in GF-NC. As a whole, gluten was detected in 371 samples, with breakfast cereals/bars being the most contaminated group. Snacks and yeasts changed from being high gluten-detected samples to being totally GF over the years. The downside is that, of contaminated samples, those in the low levels of gluten detection range have decreased while flour samples containing over 100 mg/kg gluten have risen in the 2013–2016 period. Obtained data confirm that GF cereal-based foods are becoming safer but gluten control must be maintained.

  18. Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data. (United States)

    Piccinini, Filippo; Balassa, Tamas; Szkalisity, Abel; Molnar, Csaba; Paavolainen, Lassi; Kujala, Kaisa; Buzas, Krisztina; Sarazova, Marie; Pietiainen, Vilja; Kutay, Ulrike; Smith, Kevin; Horvath, Peter


    High-content, imaging-based screens now routinely generate data on a scale that precludes manual verification and interrogation. Software applying machine learning has become an essential tool to automate analysis, but these methods require annotated examples to learn from. Efficiently exploring large datasets to find relevant examples remains a challenging bottleneck. Here, we present Advanced Cell Classifier (ACC), a graphical software package for phenotypic analysis that addresses these difficulties. ACC applies machine-learning and image-analysis methods to high-content data generated by large-scale, cell-based experiments. It features methods to mine microscopic image data, discover new phenotypes, and improve recognition performance. We demonstrate that these features substantially expedite the training process, successfully uncover rare phenotypes, and improve the accuracy of the analysis. ACC is extensively documented, designed to be user-friendly for researchers without machine-learning expertise, and distributed as a free open-source tool at Copyright © 2017 Elsevier Inc. All rights reserved.

  19. Impact of an engineering design-based curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines (United States)

    Marulcu, Ismail; Barnett, Michael


    Background: Elementary Science Education is struggling with multiple challenges. National and State test results confirm the need for deeper understanding in elementary science education. Moreover, national policy statements and researchers call for increased exposure to engineering and technology in elementary science education. The basic motivation of this study is to suggest a solution to both improving elementary science education and increasing exposure to engineering and technology in it. Purpose/Hypothesis: This mixed-method study examined the impact of an engineering design-based curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines. We hypothesize that the LEGO-engineering design unit is as successful as the inquiry-based unit in terms of students' science content learning of simple machines. Design/Method: We used a mixed-methods approach to investigate our research questions; we compared the control and the experimental groups' scores from the tests and interviews by using Analysis of Covariance (ANCOVA) and compared each group's pre- and post-scores by using paired t-tests. Results: Our findings from the paired t-tests show that both the experimental and comparison groups significantly improved their scores from the pre-test to post-test on the multiple-choice, open-ended, and interview items. Moreover, ANCOVA results show that students in the experimental group, who learned simple machines with the design-based unit, performed significantly better on the interview questions. Conclusions: Our analyses revealed that the design-based Design a people mover: Simple machines unit was, if not better, as successful as the inquiry-based FOSS Levers and pulleys unit in terms of students' science content learning.

  20. Content-based image retrieval using a signature graph and a self-organizing map

    Directory of Open Access Journals (Sweden)

    Van Thanh The


    Full Text Available In order to effectively retrieve a large database of images, a method of creating an image retrieval system CBIR (contentbased image retrieval is applied based on a binary index which aims to describe features of an image object of interest. This index is called the binary signature and builds input data for the problem of matching similar images. To extract the object of interest, we propose an image segmentation method on the basis of low-level visual features including the color and texture of the image. These features are extracted at each block of the image by the discrete wavelet frame transform and the appropriate color space. On the basis of a segmented image, we create a binary signature to describe the location, color and shape of the objects of interest. In order to match similar images, we provide a similarity measure between the images based on binary signatures. Then, we present a CBIR model which combines a signature graph and a self-organizing map to cluster and store similar images. To illustrate the proposed method, experiments on image databases are reported, including COREL,Wang and MSRDI.

  1. Local content requirements and the impact on the South African renewable energy sector: A survey-based analysis

    Directory of Open Access Journals (Sweden)

    Christopher Ettmayr


    Full Text Available Background: Economies aim to grow over time, which usually implies the need for increased energy availability. Governments can use their procurement of energy to increase benefits in their economies via certain policy tools. One such tool is local content requirements (LCRs, where the purchase of goods prescribes that a certain value has to be sourced locally. The argument for this tool is that spending is localised and manufacturing, as well as job creation, can be stimulated because industry will need to establish in the host economy. However, this practice is distortionary in effect and does not create a fair playing ground for global trade. Furthermore, if the local content definition is weak, or open to manipulation, the goals of such a policy may not be achieved at all. Aim: The objective of this study was to determine how LCRs would ultimately impact on the overall procurement programme. Setting: This study took place as South Africa commenced with large scale development of the renewable energy sector. This was largely achieved via the State run Renewable Energy Independent Power Producer Procurement Programme (REIPPPP. Method: This study utilised opinion-based surveys to look into the LCRs of South Africa’s REIPPPP and measure the impact of this policy on the renewable energy sector in general. The mixed method approach was utilised to analyse qualitative and quantitative data and this was then triangulated with an international peer group to arrive at certain conclusions. The Delphi Technique was then employed to achieve population consensus on the findings. Results and conclusion: It was found that, in order to implement a policy such as local content without any negative welfare effects, the host economy had to show certain pre-existing conditions. Because South Africa does not hold all supportive pre-conditions, the impact and effect of LCRs have not been optimal, and it has not been found to be a sustainable mechanism to

  2. Fusion of Potentiometric & Voltammetric Electronic Tongue for Classification of Black Tea Taste based on Theaflavins (TF) Content (United States)

    Bhattacharyya, Nabarun; Legin, Andrey; Papieva, Irina; Sarkar, Subrata; Kirsanov, Dmitry; Kartsova, Anna; Ghosh, Arunangshu; Bandyopadhyay, Rajib


    Black tea is an extensively consumed beverage worldwide with an expanding market. The final quality of black tea depends upon number of chemical compounds present in the tea. Out of these compounds, theaflavins (TF), which is responsible for astringency in black tea, plays an important role in determining the final taste of the finished black tea. The present paper reports our effort to correlate the theaflavins contents with the voltammetric and potentiometric electronic tongue (e-tongue) data. Noble metal-based electrode array has been used for collecting data though voltammetric electronic tongue where as liquid filled membrane based electrodes have been used for potentiometric electronic tongue. Black tea samples with tea taster score and biochemical results have been collected from Tea Research Association, Tocklai, India for the analysis purpose. In this paper, voltammetric and potentiometric e-tongue responses are combined to demonstrate improvement of cluster formation among tea samples with different ranges of TF values.

  3. A novel ternary content addressable memory design based on resistive random access memory with high intensity and low search energy (United States)

    Han, Runze; Shen, Wensheng; Huang, Peng; Zhou, Zheng; Liu, Lifeng; Liu, Xiaoyan; Kang, Jinfeng


    A novel ternary content addressable memory (TCAM) design based on resistive random access memory (RRAM) is presented. Each TCAM cell consists of two parallel RRAM to both store and search for ternary data. The cell size of the proposed design is 8F2, enable a ∼60× cell area reduction compared with the conventional static random access memory (SRAM) based implementation. Simulation results also show that the search delay and energy consumption of the proposed design at the 64-bit word search are 2 ps and 0.18 fJ/bit/search respectively at 22 nm technology node, where significant improvements are achieved compared to previous works. The desired characteristics of RRAM for implementation of the high performance TCAM search chip are also discussed.

  4. Self-Adapting Routing Overlay Network for Frequently Changing Application Traffic in Content-Based Publish/Subscribe System

    Directory of Open Access Journals (Sweden)

    Meng Chi


    Full Text Available In the large-scale distributed simulation area, the topology of the overlay network cannot always rapidly adapt to frequently changing application traffic to reduce the overall traffic cost. In this paper, we propose a self-adapting routing strategy for frequently changing application traffic in content-based publish/subscribe system. The strategy firstly trains the traffic information and then uses this training information to predict the application traffic in the future. Finally, the strategy reconfigures the topology of the overlay network based on this predicting information to reduce the overall traffic cost. A predicting path is also introduced in this paper to reduce the reconfiguration numbers in the process of the reconfigurations. Compared to other strategies, the experimental results show that the strategy proposed in this paper could reduce the overall traffic cost of the publish/subscribe system in less reconfigurations.

  5. Optimalization of the protein content of canned baby-foods based on their nutritive value. (United States)

    Dworschák, E; Molnár, L; Horváth, E D; Vukov, K


    When planning canned foods the protein value Net Dietary-protein Energy percent = 8% of a 5-month old infant's requirement was considered as constant. The nutritive value required for this purpose was calculated on the basis of amino acid composition, making use of the Morup-Olesen index. Canned foods were made of two protein-containing components, of sunflower-oil and (occasionally) of starch, by computer, keeping the energy value constant, i. e. 1250 kJ, which covers half of the infant's daily requirement. The optimalization based on the protein value is illustrated by the examples of egg-potato, beef-peas and flour-beans pairs, considering the practical requirements as well.

  6. Uplink Contention-based CSI Feedback with Prioritized Layers for a Multi-Carrier System

    DEFF Research Database (Denmark)

    Kaneko, Megumi; Hayashi, Kazunori; Popovski, Petar


    Optimized resource allocation of the Downlink (DL) in wireless systems utilizing Multi-Carrier (MC) transmission requires Channel State Information (CSI) feedback for each user/subchannel to the Base Station (BS), consuming a high amount of Uplink (UL) radio resources. To alleviate this problem, ....... Analytical and simulation results show that our proposed scheme provides an excellent trade-off between system performance and feedback overhead........ By partitioning the CSI into orthogonal layers of priority, and allocating different numbers of feedback slots to each layer, this scheme ensures that the feedback success probability is higher for the CSI with better quality, which is more likely to be used by the scheduler. Furthermore, we present a theoretical...... performance analysis of the proposed scheme, assuming Maximum CSI (Max CSI) and normalized Proportional Fair Scheduler (PFS), where a tight approximation of the achievable throughput is obtained assuming discrete Adaptive Modulation (AM) and CSI feedback which are relevant for the practical systems...

  7. A Science and Risk-Based Pragmatic Methodology for Blend and Content Uniformity Assessment. (United States)

    Sayeed-Desta, Naheed; Pazhayattil, Ajay Babu; Collins, Jordan; Doshi, Chetan


    This paper describes a pragmatic approach that can be applied in assessing powder blend and unit dosage uniformity of solid dose products at Process Design, Process Performance Qualification, and Continued/Ongoing Process Verification stages of the Process Validation lifecycle. The statistically based sampling, testing, and assessment plan was developed due to the withdrawal of the FDA draft guidance for industry "Powder Blends and Finished Dosage Units-Stratified In-Process Dosage Unit Sampling and Assessment." This paper compares the proposed Grouped Area Variance Estimate (GAVE) method with an alternate approach outlining the practicality and statistical rationalization using traditional sampling and analytical methods. The approach is designed to fit solid dose processes assuring high statistical confidence in both powder blend uniformity and dosage unit uniformity during all three stages of the lifecycle complying with ASTM standards as recommended by the US FDA.

  8. Remotely Delivered Exercise-Based Cardiac Rehabilitation: Design and Content Development of a Novel mHealth Platform (United States)

    Gant, Nicholas; Meads, Andrew; Warren, Ian; Maddison, Ralph


    Background Participation in traditional center-based cardiac rehabilitation exercise programs (exCR) is limited by accessibility barriers. Mobile health (mHealth) technologies can overcome these barriers while preserving critical attributes of center-based exCR monitoring and coaching, but these opportunities have not yet been capitalized on. Objective We aimed to design and develop an evidence- and theory-based mHealth platform for remote delivery of exCR to any geographical location. Methods An iterative process was used to design and develop an evidence- and theory-based mHealth platform (REMOTE-CR) that provides real-time remote exercise monitoring and coaching, behavior change education, and social support. Results The REMOTE-CR platform comprises a commercially available smartphone and wearable sensor, custom smartphone and Web-based applications (apps), and a custom middleware. The platform allows exCR specialists to monitor patients’ exercise and provide individualized coaching in real-time, from almost any location, and provide behavior change education and social support. Intervention content incorporates Social Cognitive Theory, Self-determination Theory, and a taxonomy of behavior change techniques. Exercise components are based on guidelines for clinical exercise prescription. Conclusions The REMOTE-CR platform extends the capabilities of previous telehealth exCR platforms and narrows the gap between existing center- and home-based exCR services. REMOTE-CR can complement center-based exCR by providing an alternative option for patients whose needs are not being met. Remotely monitored exCR may be more cost-effective than establishing additional center-based programs. The effectiveness and acceptability of REMOTE-CR are now being evaluated in a noninferiority randomized controlled trial. PMID:27342791

  9. Learning Design of Problem Based Learning Model Based on Recommendations of Sintax Study and Contents Issues on Physics Impulse Materials with Experimental Activities

    Directory of Open Access Journals (Sweden)

    Kristia Agustina


    Full Text Available This study aims to design learning Problem Based Learning Model based on syntax study recommendations and content issues on Physics Impulse materials through experiments. This research is a development research with Kemp model. The reference for making the learning design is the result of the syntax study and the content of existing PBL implementation problems from Agustina research. This instructional design is applied to the physics material about Impulse done through experimental activity. Limited trials were conducted on the SWCU Physics Education Study Program students group Salatiga, while the validity test was conducted by high school teachers and physics education lecturers. The results of the trial evaluation are limited and the validity test is used to improve the designs that have been made. The conclusion of this research is the design of learning by using PBL model on Impuls material by referring the result of syntax study and the problem content of existing PBL implementation can be produced by learning activity designed in laboratory experiment activity. The actual problem for Impuls material can be used car crash test video at factory. The results of validation tests and limited trials conducted by researchers assessed that the design of learning made by researchers can be used with small revisions. Suggestions from this research are in making learning design by using PBL model to get actual problem can by collecting news that come from newspaper, YouTube, internet, and television.

  10. Evaluation of Harmonic Content from a Tap Transformer Based Grid Connection System for Wind Power

    Directory of Open Access Journals (Sweden)

    S. Apelfröjd


    Full Text Available Simulations done in MATLAB/Simulink together with experiments conducted at the Ångströms laboratory are used to evaluate and discuss the total harmonic distortion (THD and total demand distortion (TDD of a tap transformer based grid connection system. The grid connection topology can be used with different turbine and generator topologies and is here applied on a vertical axis wind turbine (VAWT with a permanent magnet synchronous generator (PMSG and its operational scheme. The full variable-speed wind conversion system consists of a diode rectifier, DC link, IGBT inverter, LCL-filter, and tap transformer. The full variable-speed operation is enabled by the use of the different step-up ratios of the tap transformer. In the laboratory study, a full experimental setup of the system was used, a clone of the on-site PMSG driven by a motor was used, and the grid was replaced with a resistive load. With a resistive load, grid harmonics and possible unbalances are removed. The results show a TDD and THD below 5% for the full operating range and harmonic values within the limits set up by IEEE-519. Furthermore, a change in tap, going to a lower step-up ratio, results in a reduction in both THD and TDD for the same output power.

  11. High-content screening and mechanism-based evaluation of estrogenic botanical extracts. (United States)

    Overk, Cassia R; Yao, Ping; Chen, Shaonong; Deng, Shixing; Imai, Ayano; Main, Matthew; Schinkovitz, Andreas; Farnsworth, Norman R; Pauli, Guido F; Bolton, Judy L


    Symptoms associated with menopause can greatly affect the quality of life for women. Botanical dietary supplements have been viewed by the public as safe and effective despite a lack of evidence indicating a urgent necessity to standardize these supplements chemically and biologically. Seventeen plants were evaluated for estrogenic biological activity using standard assays: competitive estrogen receptor (ER) binding assay for both alpha and beta subtypes, transient transfection of the estrogen response element luciferase plasmid into MCF-7 cells expressing either ER alpha or ER beta, and the Ishikawa alkaline phosphatase induction assay for both estrogenic and antiestrogenic activities. Based on the combination of data pooled from these assays, the following was determined: a) a high rate of false positive activity for the competitive binding assays, b) some extracts had estrogenic activity despite a lack of ability to bind the ER, c) one extract exhibited selective estrogen receptor modulator (SERM) activity, and d) several extracts show additive/synergistic activity. Taken together, these data indicate a need to reprioritize the order in which the bioassays are performed for maximal efficiency of programs involving bioassay-guided fractionation. In addition, possible explanations for the conflicts in the literature over the estrogenicity of Cimicifuga racemosa (black cohosh) are suggested.

  12. Analysis of metal contents in Portland Type V and MTA-based cements. (United States)

    Dorileo, Maura Cristiane Gonçales Orçati; Bandeca, Matheus Coelho; Pedro, Fábio Luis Miranda; Volpato, Luiz Evaristo Ricci; Guedes, Orlando Aguirre; Dalla Villa, Ricardo; Tonetto, Mateus Rodrigues; Borges, Alvaro Henrique


    The aim of this study was to determine, by Atomic Absorption Spectrometry (AAS), the concentration levels of 11 metals in Type V gray and structural white PC, ProRoot MTA, and MTA Bio. Samples, containing one gram of each tested cement, were prepared and transferred to a 100 mL Teflon tube with a mixture of 7.0 mL of nitric acid and 21 mL of hydrochloric acid. After the reaction, the mixture was filtered and then volumed to 50 mL of distilled water. For each metal, specific patterns were determined from universal standards. Arsenic quantification was performed by hydride generator. The analysis was performed five times and the data were statistically analyzed at 5% level of significance. Only the cadmium presented concentration levels of values lower than the quantification limit of the device. The AAS analysis showed increased levels of calcium, nickel, and zinc in structural white PC. Type V PC presented the greatest concentration levels of arsenic, chromium, copper, iron, lead, and manganese (P cements, and the lowest concentration levels were observed in Portland cements, while the highest were observed in ProRoot MTA. Both PC and MTA-based cements showed evidence of metals inclusion.

  13. Analysis of Metal Contents in Portland Type V and MTA-Based Cements

    Directory of Open Access Journals (Sweden)

    Maura Cristiane Gonçales Orçati Dorileo


    Full Text Available The aim of this study was to determine, by Atomic Absorption Spectrometry (AAS, the concentration levels of 11 metals in Type V gray and structural white PC, ProRoot MTA, and MTA Bio. Samples, containing one gram of each tested cement, were prepared and transferred to a 100 mL Teflon tube with a mixture of 7.0 mL of nitric acid and 21 mL of hydrochloric acid. After the reaction, the mixture was filtered and then volumed to 50 mL of distilled water. For each metal, specific patterns were determined from universal standards. Arsenic quantification was performed by hydride generator. The analysis was performed five times and the data were statistically analyzed at 5% level of significance. Only the cadmium presented concentration levels of values lower than the quantification limit of the device. The AAS analysis showed increased levels of calcium, nickel, and zinc in structural white PC. Type V PC presented the greatest concentration levels of arsenic, chromium, copper, iron, lead, and manganese (P<0.05. Bismuth was found in all cements, and the lowest concentration levels were observed in Portland cements, while the highest were observed in ProRoot MTA. Both PC and MTA-based cements showed evidence of metals inclusion.

  14. Analysis of Metal Contents in Portland Type V and MTA-Based Cements (United States)

    Dorileo, Maura Cristiane Gonçales Orçati; Bandeca, Matheus Coelho; Pedro, Fábio Luis Miranda; Volpato, Luiz Evaristo Ricci; Guedes, Orlando Aguirre; Villa, Ricardo Dalla; Tonetto, Mateus Rodrigues; Borges, Alvaro Henrique


    The aim of this study was to determine, by Atomic Absorption Spectrometry (AAS), the concentration levels of 11 metals in Type V gray and structural white PC, ProRoot MTA, and MTA Bio. Samples, containing one gram of each tested cement, were prepared and transferred to a 100 mL Teflon tube with a mixture of 7.0 mL of nitric acid and 21 mL of hydrochloric acid. After the reaction, the mixture was filtered and then volumed to 50 mL of distilled water. For each metal, specific patterns were determined from universal standards. Arsenic quantification was performed by hydride generator. The analysis was performed five times and the data were statistically analyzed at 5% level of significance. Only the cadmium presented concentration levels of values lower than the quantification limit of the device. The AAS analysis showed increased levels of calcium, nickel, and zinc in structural white PC. Type V PC presented the greatest concentration levels of arsenic, chromium, copper, iron, lead, and manganese (P < 0.05). Bismuth was found in all cements, and the lowest concentration levels were observed in Portland cements, while the highest were observed in ProRoot MTA. Both PC and MTA-based cements showed evidence of metals inclusion. PMID:25436238

  15. Discovery of novel proteasome inhibitors using a high-content cell-based screening system.

    Directory of Open Access Journals (Sweden)

    Irena Lavelin


    Full Text Available The regulated degradation of damaged or misfolded proteins, as well as down-regulation of key signaling proteins, within eukaryotic and bacterial cells is catalyzed primarily by large, ATP-dependent multimeric proteolytic complexes, termed proteasomes. Inhibition of proteasomal activity affects a wide variety of physiological and pathological processes, and was found to be particularly effective for cancer therapy. We report here on the development of a novel high throughput assay for proteasome inhibition using a unique, highly sensitive live-cell screening, based on the cytoplasm-to-nucleus translocation of a fluorescent proteasome inhibition reporter (PIR protein, consisting of nuclear localization signal-deficient p53 derivative. We further show here that mdm2, a key negative regulator of p53 plays a key role in the accumulation of PIR in the nucleus upon proteasome inhibition. Using this assay, we have screened the NCI Diversity Set library, containing 1,992 low molecular weight synthetic compounds, and identified four proteasome inhibitors. The special features of the current screen, compared to those of other approaches are discussed.

  16. Students' Perceptions of Teaching in Context-based and Traditional Chemistry Classrooms: Comparing content, learning activities, and interpersonal perspectives (United States)

    Overman, Michelle; Vermunt, Jan D.; Meijer, Paulien C.; Bulte, Astrid M. W.; Brekelmans, Mieke


    Context-based curriculum reforms in chemistry education are thought to bring greater diversity to the ways in which chemistry teachers organize their teaching. First and foremost, students are expected to perceive this diversity. However, empirical research on how students perceive their teacher's teaching in context-based chemistry classrooms, and whether this teaching differs from traditional chemistry lessons, is scarce. This study aims to develop our understanding of what teaching looks like, according to students, in context-based chemistry classrooms compared with traditional chemistry classrooms. As such, it might also provide a better understanding of whether teachers implement and attain the intentions of curriculum developers. To study teacher behaviour we used three theoretical perspectives deemed to be important for student learning: a content perspective, a learning activities perspective, and an interpersonal perspective. Data were collected from 480 students in 24 secondary chemistry classes in the Netherlands. Our findings suggest that, according to the students, the changes in teaching in context-based chemistry classrooms imply a lessening of the emphasis on fundamental chemistry and the use of a teacher-centred approach, compared with traditional chemistry classrooms. However, teachers in context-based chemistry classrooms seem not to display more 'context-based' teaching behaviour, such as emphasizing the relation between chemistry, technology, and society and using a student-centred approach. Furthermore, students in context-based chemistry classrooms perceive their teachers as having less interpersonal control and showing less affiliation than teachers in traditional chemistry classrooms. Our findings should be interpreted in the context of former and daily experiences of both teachers and students. As only chemistry is reformed in the schools in which context-based chemistry is implemented, it is challenging for both students and teachers to

  17. Characterizing brain structures and remodeling after TBI based on information content, diffusion entropy. (United States)

    Fozouni, Niloufar; Chopp, Michael; Nejad-Davarani, Siamak P; Zhang, Zheng Gang; Lehman, Norman L; Gu, Steven; Ueno, Yuji; Lu, Mei; Ding, Guangliang; Li, Lian; Hu, Jiani; Bagher-Ebadian, Hassan; Hearshen, David; Jiang, Quan


    To overcome the limitations of conventional diffusion tensor magnetic resonance imaging resulting from the assumption of a Gaussian diffusion model for characterizing voxels containing multiple axonal orientations, Shannon's entropy was employed to evaluate white matter structure in human brain and in brain remodeling after traumatic brain injury (TBI) in a rat. Thirteen healthy subjects were investigated using a Q-ball based DTI data sampling scheme. FA and entropy values were measured in white matter bundles, white matter fiber crossing areas, different gray matter (GM) regions and cerebrospinal fluid (CSF). Axonal densities' from the same regions of interest (ROIs) were evaluated in Bielschowsky and Luxol fast blue stained autopsy (n = 30) brain sections by light microscopy. As a case demonstration, a Wistar rat subjected to TBI and treated with bone marrow stromal cells (MSC) 1 week after TBI was employed to illustrate the superior ability of entropy over FA in detecting reorganized crossing axonal bundles as confirmed by histological analysis with Bielschowsky and Luxol fast blue staining. Unlike FA, entropy was less affected by axonal orientation and more affected by axonal density. A significant agreement (r = 0.91) was detected between entropy values from in vivo human brain and histologically measured axonal density from post mortum from the same brain structures. The MSC treated TBI rat demonstrated that the entropy approach is superior to FA in detecting axonal remodeling after injury. Compared with FA, entropy detected new axonal remodeling regions with crossing axons, confirmed with immunohistological staining. Entropy measurement is more effective in distinguishing axonal remodeling after injury, when compared with FA. Entropy is also more sensitive to axonal density than axonal orientation, and thus may provide a more accurate reflection of axonal changes that occur in neurological injury and disease.

  18. The party effect: Prediction of future alcohol use based on exposure to specific alcohol advertising content (United States)

    Morgenstern, Matthis; Li, Zhongze; Li, Zhigang; Sargent, James D.


    Aims To test whether exposure to party-related alcohol advertising is associated with drinking behavior in a national US sample of adolescents and young adults, independently of exposure to other alcohol advertising. Design Longitudinal telephone- and web-based surveys conducted in 2011 and 2013. Setting All regions of the United States, participants selected via mixed-mode random-digit-dial landline and cellphone frames. Participants A sample of 2541 respondents with a mean age of 18.1 years (51.6% female) of which 1053 (41%) never had a whole drink of alcohol and 1727 (67%) never had six or more drinks during one drinking occasion. Measurements Outcome measures were onset of alcohol use and binge drinking during the study interval. Primary predictor was exposure to television alcohol advertising, operationalized as contact frequency and brand recall for 20 randomly selected alcohol advertisements. Independent post-hoc analyses classified all ads as “party” or “non-party” ads. Sociodemographics, sensation seeking, alcohol expectancies, and alcohol use of friends and family were assessed as covariates. Findings Onset rates for having the first whole drink of alcohol and for first binge drinking were 49.2% and 29.5%, respectively. On average, about half (M = 10.2) of the 20 alcohol advertisements in each individual survey were “party” ads. If both types of exposures (“party” and “non-party”) were included in the regression model, only “party” exposure remained a significant predictor of alcohol use onset (AOR=19.17; 95%CI 3.72–98.79) and binge drinking onset (AOR=3.87; 95%CI 1.07–13.99) after covariate control. Conclusions Adolescents and young adults with higher exposure to alcohol advertisements using a partying theme had higher rates of alcohol use and binge drinking onset, even after control of exposure to other types of alcohol advertisements. PMID:27343140

  19. Homelessness in the Medical Curriculum: An Analysis of Case-Based Learning Content From One Canadian Medical School. (United States)

    To, Matthew J; MacLeod, Anna; Hwang, Stephen W


    PHENOMENON: Homelessness is a major public health concern. Given that homeless individuals have high rates of mortality and morbidity, are more likely to be users of the healthcare system, and often report unmet health needs, it is important to examine how homelessness is addressed in medical education. We wanted to examine content and framing of issues related to homelessness in the case-based learning (CBL) curriculum and provide insights about whether medical students are being adequately trained to meet the health needs of homeless individuals through CBL. CBL content at a Canadian medical school that featured content related to homelessness was analyzed. Data were extracted from cases for the following variables: curriculum unit (e.g., professionalism/ethics curriculum or biomedical/clinical curriculum), patient characteristics (e.g., age, sex), and medical and social conditions. A thematic analysis was performed on cases related to homelessness. Discrepancies in analysis were resolved by consensus. Homelessness was mentioned in five (2.6%) of 191 CBL cases in the medical curriculum. Homelessness was significantly more likely to be featured in professionalism/ethics cases than in biomedical/clinical cases (p = .03). Homeless patients were portrayed as socially disadvantaged individuals, and medical learners were prompted to discuss ethical issues related to homeless patients in cases. However, homeless individuals were largely voiceless in cases. Homelessness was associated with serious physical and mental health concerns, but students were rarely prompted to address these concerns. Insights: The health and social needs of homeless individuals are often overlooked in CBL cases in the medical curriculum. Moreover, stereotypes of homelessness may be reinforced through medical training. There are opportunities for growth in addressing the needs of homeless individuals through medical education.

  20. A GUI-based intuitive tool for analyzing formats and extracting contents of binary data in fusion research

    International Nuclear Information System (INIS)

    Naito, O.


    Highlights: • A GUI-based intuitive tool for data format analysis is presented. • Data can be viewed in any data types specified by the user in real time. • Analyzed formats are saved and reused as templates for other data of the same forms. • Users can easily extract contents in any forms by writing a simple script file. • The tool would be useful for exchanging data in collaborative fusion researches. - Abstract: An intuitive tool with graphical user interface (GUI) for analyzing formats and extracting contents of binary data in fusion research is presented. Users can examine structures of binary data at arbitrary addresses by selecting their type from a list of radio buttons in the data inspection window and checking their representations instantly on the computer screen. The result of analysis is saved in a file which contains the information such as name, data type, start address, and array size of the data. If the array size of some data depends on others that appear prior to the former and if the users specify their relation in the inspection window, the resultant file can also be used as a format template for the same series of data. By writing a simple script, the users can extract the contents of data either to a text or binary file in the format of their preference. As a real-life example, the tool is applied to the MHD equilibrium data at JT-60U, where poloidal flux data are extracted and converted to a format suitable for contour plotting in other data visualization program. The tool would be useful in collaborative fusion researches for exchanging relatively small-size data, which don’t fit in well with the standard routine processes