Oropharyngeal Dysphagia in Dermatomyositis: Associations with Clinical and Laboratory Features Including Autoantibodies.

Science.gov (United States)

Mugii, Naoki; Hasegawa, Minoru; Matsushita, Takashi; Hamaguchi, Yasuhito; Oohata, Sacihe; Okita, Hirokazu; Yahata, Tetsutarou; Someya, Fujiko; Inoue, Katsumi; Murono, Shigeyuki; Fujimoto, Manabu; Takehara, Kazuhiko

2016-01-01

Dysphagia develops with low frequency in patients with dermatomyositis. Our objective was to determine the clinical and laboratory features that can estimate the development of dysphagia in dermatomyositis. This study included 92 Japanese patients with adult-onset dermatomyositis. The associations between dysphagia and clinical and laboratory features including disease-specific autoantibodies determined by immunoprecipitation assays were analyzed. Videofluoroscopy swallow study (VFSS) was performed for all patients with clinical dysphagia (n = 13, 14.1%) but not for patients without clinical dysphagia. Typical findings of dysphagia (pharyngeal pooling, n = 11 and/or nasal regurgitation, n = 4) was detected by VFSS in all patients with clinical dysphagia. Eleven patients with dysphagia (84.6%) had anti-transcription intermediary factor 1γ (TIF-1γ) antibody. By univariate analysis, the average age and the male to female ratio, internal malignancy, and anti-TIF-1γ antibody were significantly higher and the frequency of interstitial lung diseases and manual muscle testing (MMT) scores of sternomastoid and dertoid muscles were significantly lower in patients with dysphagia than in patients without dysphagia. Among patients with anti-TIF-1γ antibody, the mean age, the ratios of male to female and internal malignancy were significantly higher and mean MMT scores of sternomastoid muscle were significantly lower in patients with dysphagia compared with patients without dysphagia. By multivariable analysis, the risk of dysphagia was strongly associated with the existence of internal malignancy and ant-TIF-1γ antibody and was also associated with reduced scores of manual muscle test of sternomastoid muscle. Dysphagia was markedly improved after the treatment against myositis in all 13 patients. These findings indicate that dysphagia can develop frequently in patients with internal malignancy, anti-TIF-1γ antibody, or severe muscle weakness of sternomastoid muscle.

CT features of renal epithelioid angiomyolipomas

International Nuclear Information System (INIS)

Hu Xiaoyun; Fang Xiangming; Hu Chunhong; Chen Hongwei; Cui Lei; Bao Jian; Yao Xuanjun

2010-01-01

Objective: To explore the CT and pathological features of renal epithelioid angiomyolipoma (EAML). Methods: Clinical data and CT images from ten cases with EAML proved by surgery and pathology were retrospectively analyzed. All cases were performed with plain and contrast enhanced CT scans. Results: CT features: higher pre-contrasted density than kidney, bulging from kidney, absent of fat, markedly heterogeneous enhancement (quick wash-in and slow wash-out), big size without lobular sign, complete capsule with clear margin and mild necrostic area. Pathological features: diffuse sheets of epithelioid cells were found under microscopy with immunohistochemistrical findings including positivity for HMB-45 and negativity for EMA. Conclusion: Some specific CT features, which is correlated well with the pathological findings, provide helpful information in the primary diagnosis of EAML. (authors)

Theory of Planned Behavior including self-stigma and perceived barriers explain help-seeking behavior for sexual problems in Iranian women suffering from epilepsy.

Science.gov (United States)

Lin, Chung-Ying; Oveisi, Sonia; Burri, Andrea; Pakpour, Amir H

2017-03-01

To apply the Theory of Planned Behavior (TPB) and the two additional concepts self-stigma and perceived barriers to the help-seeking behavior for sexual problems in women with epilepsy. In this 18-month follow-up study, TPB elements, including attitude, subjective norm, perceived behavioral control, and behavioral intention along with self-stigma and perceived barriers in seeking help for sexual problems were assessed in n=818 women with epilepsy (94.0% aged ≤40years). The basic TPB model (model 1) and the TPB model additionally including self-stigma and perceived barriers (Model 2) were analyzed using structural equation modeling (SEM). Both SEM models showed satisfactory model fits. According to model, attitude, subjective norms, perceived behavioral control, and intention explained 63.1% of the variance in help-seeking behavior. Variance was slightly higher (64.5%) when including self-stigma and perceived barriers (model 2). In addition, the fit indices of the models were better highlighting the importance of self-stigma and perceived barriers in help-seeking behavior for sexual problems. Theory of Planned Behavior is useful in explaining help-seeking behavior for sexual problems in women with epilepsy. Self-stigma and perceived barriers are additional factors that should be considered in future interventions aiming to adopt TPB to improve help-seeking behavior for sexual problems. Copyright © 2017 Elsevier Inc. All rights reserved.

Helping HELP with limited resources: the Luquillo experience

Science.gov (United States)

F.N. Scatena; JR Ortiz-Zayas; J.F. Blanco-Libreros

2008-01-01

By definition the HELP approach involves the active participation of individuals from a wide range of disciplines and backgrounds, including representatives of industry, academics, natural resource managers, and local officials and community leaders. While there is considerable enthusiasm and support for the integrated HELP approach, a central problem for all HELP...

MRI features of tuberculosis of peripheral joints

Energy Technology Data Exchange (ETDEWEB)

Sawlani, V.; Chandra, T.; Mishra, R.N.; Aggarwal, A.; Jain, U.K.; Gujral, R.B. E-mail: gujralrb@sgpgi.ac.in

2003-10-01

The aim of this article is to present the magnetic resonance imaging (MRI) features of peripheral tubercular arthritis. The clinical presentation of peripheral tubercular arthritis is variable and simulates other chronic inflammatory arthritic disorders. MRI is a highly sensitive technique which demonstrates fine anatomical details and identifies the early changes of arthritis, which are not visible on radiographs. The MRI features of tubercular arthritis include synovitis, effusion, central and peripheral erosions, active and chronic pannus, abscess, bone chips and hypo-intense synovium. These imaging features in an appropriate clinical setting may help in the diagnosis of tubercular arthritis. Early diagnosis and treatment can effectively eliminate the long-term morbidity of joints affected by tuberculosis.

MRI features of tuberculosis of peripheral joints

International Nuclear Information System (INIS)

Sawlani, V.; Chandra, T.; Mishra, R.N.; Aggarwal, A.; Jain, U.K.; Gujral, R.B.

2003-01-01

The aim of this article is to present the magnetic resonance imaging (MRI) features of peripheral tubercular arthritis. The clinical presentation of peripheral tubercular arthritis is variable and simulates other chronic inflammatory arthritic disorders. MRI is a highly sensitive technique which demonstrates fine anatomical details and identifies the early changes of arthritis, which are not visible on radiographs. The MRI features of tubercular arthritis include synovitis, effusion, central and peripheral erosions, active and chronic pannus, abscess, bone chips and hypo-intense synovium. These imaging features in an appropriate clinical setting may help in the diagnosis of tubercular arthritis. Early diagnosis and treatment can effectively eliminate the long-term morbidity of joints affected by tuberculosis

Help Stop the Flu | NIH MedlinePlus the Magazine

Science.gov (United States)

... page please turn Javascript on. Feature: Flu Shot Help Stop the Flu Past Issues / Winter 2011 Table ... CDC recommends that Americans do the following to help stop the flu: Cover nose and mouth with ...

Remodularizing Java Programs for Improved Locality of Feature Implementations in Source Code

DEFF Research Database (Denmark)

Olszak, Andrzej; Jørgensen, Bo Nørregaard

2011-01-01

Explicit traceability between features and source code is known to help programmers to understand and modify programs during maintenance tasks. However, the complex relations between features and their implementations are not evident from the source code of object-oriented Java programs....... Consequently, the implementations of individual features are difficult to locate, comprehend, and modify in isolation. In this paper, we present a novel remodularization approach that improves the representation of features in the source code of Java programs. Both forward- and reverse restructurings...... are supported through on-demand bidirectional restructuring between feature-oriented and object-oriented decompositions. The approach includes a feature location phase based of tracing program execution, a feature representation phase that reallocates classes into a new package structure based on single...

An HMM posterior decoder for sequence feature prediction that includes homology information

DEFF Research Database (Denmark)

Käll, Lukas; Krogh, Anders Stærmose; Sonnhammer, Erik L. L.

2005-01-01

Motivation: When predicting sequence features like transmembrane topology, signal peptides, coil-coil structures, protein secondary structure or genes, extra support can be gained from homologs. Results: We present here a general hidden Markov model (HMM) decoding algorithm that combines probabil......Motivation: When predicting sequence features like transmembrane topology, signal peptides, coil-coil structures, protein secondary structure or genes, extra support can be gained from homologs. Results: We present here a general hidden Markov model (HMM) decoding algorithm that combines......://phobius.cgb.ki.se/poly.html . An implementation of the algorithm is available on request from the authors....

Paralog-divergent Features May Help Reduce Off-target Effects of Drugs: Hints from Glucagon Subfamily Analysis

Directory of Open Access Journals (Sweden)

Zhining Sa

2017-08-01

Full Text Available Side effects from targeted drugs remain a serious concern. One reason is the nonselective binding of a drug to unintended proteins such as its paralogs, which are highly homologous in sequences and have similar structures and drug-binding pockets. To identify targetable differences between paralogs, we analyzed two types (type-I and type-II of functional divergence between two paralogs in the known target protein receptor family G-protein coupled receptors (GPCRs at the amino acid level. Paralogous protein receptors in glucagon-like subfamily, glucagon receptor (GCGR and glucagon-like peptide-1 receptor (GLP-1R, exhibit divergence in ligands and are clinically validated drug targets for type 2 diabetes. Our data showed that type-II amino acids were significantly enriched in the binding sites of antagonist MK-0893 to GCGR, which had a radical shift in physicochemical properties between GCGR and GLP-1R. We also examined the role of type-I amino acids between GCGR and GLP-1R. The divergent features between GCGR and GLP-1R paralogs may be helpful in their discrimination, thus enabling the identification of binding sites to reduce undesirable side effects and increase the target specificity of drugs.

What would encourage help-seeking for memory problems among UK-based South Asians? A qualitative study.

Science.gov (United States)

Mukadam, Naaheed; Waugh, Amy; Cooper, Claudia; Livingston, Gill

2015-09-11

People from Minority Ethnic groups tend to present late to dementia services, often in crisis. Culture-specific barriers to help-seeking seem to underlie this. We sought to determine these barriers to timely help-seeking for dementia among people from South Asian backgrounds and what the features of an intervention to overcome them would be. Qualitative study to delineate barriers to and facilitators of help-seeking for South Asian adults with dementia through focus groups and individual interviews. Community settings in and around Greater London. To achieve a maximum variation sample, we purposively recruited 53 English or Bengali speaking South Asian adults without a known diagnosis of dementia through community centres and snowballing. Participants ranged in age from 18 to 83 years, were mostly female and were 60% Bangladeshi. We recruited people from different religions and occupational backgrounds and included those with experience of caring for someone with dementia as well as those without this experience. Participants identified four main barriers to timely diagnosis: barriers to help-seeking for memory problems; the threshold for seeking help for memory problems; ways to overcome barriers to help-seeking; what features an educational resource should have. We have identified the features of an intervention with the potential to improve timely dementia diagnosis in South Asians. The next steps are to devise and test such an intervention. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Enhancing facial features by using clear facial features

Science.gov (United States)

Rofoo, Fanar Fareed Hanna

2017-09-01

The similarity of features between individuals of same ethnicity motivated the idea of this project. The idea of this project is to extract features of clear facial image and impose them on blurred facial image of same ethnic origin as an approach to enhance a blurred facial image. A database of clear images containing 30 individuals equally divided to five different ethnicities which were Arab, African, Chines, European and Indian. Software was built to perform pre-processing on images in order to align the features of clear and blurred images. And the idea was to extract features of clear facial image or template built from clear facial images using wavelet transformation to impose them on blurred image by using reverse wavelet. The results of this approach did not come well as all the features did not align together as in most cases the eyes were aligned but the nose or mouth were not aligned. Then we decided in the next approach to deal with features separately but in the result in some cases a blocky effect was present on features due to not having close matching features. In general the available small database did not help to achieve the goal results, because of the number of available individuals. The color information and features similarity could be more investigated to achieve better results by having larger database as well as improving the process of enhancement by the availability of closer matches in each ethnicity.

What is included with your online e-cigarette order? An analysis of e-cigarette shipping, product and packaging features.

Science.gov (United States)

Kong, Amanda Y; Derrick, Jason C; Abrantes, Anthony S; Williams, Rebecca S

2016-06-29

The electronic cigarette industry is growing, with youth using e-cigarettes at higher rates than they are using cigarettes, and retail and online sales projected to reach $10 billion in 2017. Minimal regulation of the production and marketing of e-cigarettes exists to date, which has allowed companies to promote unsupported claims. We assessed the shipping, product features and packaging of a wide variety of e-cigarettes purchased online by adults and youth. The most popular internet e-cigarette vendors were identified from a larger study of internet tobacco vendors. Between August 2013 and June 2014, adults made 56 purchase attempts from online vendors, and youth made 98 attempts. Packages received were assessed for exterior and internal packaging features, including product information, health warnings and additional materials. We analysed a total of 125 orders featuring 86 unique brands of e-cigarettes. The contents were rarely indicated on package exteriors. Product information came with just 60% of orders and just 38.4% included an instruction manual. Only 44.6% of products included a health warning, and some had unsupported claims, such as lack of secondhand smoke exposure. Additionally, some products were leaking e-liquid and battery fluid on arrival. A large variety of e-cigarette products are manufactured and marketed to consumers. Many products do not include instructions for use, and unsupported claims are being presented to consumers. Effective federal regulation of the manufacturing, packaging, product information and health claims surrounding e-cigarettes is necessary to ensure consumers are presented with accurate e-cigarette use information. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Middle-aged women's preferred theory-based features in mobile physical activity applications.

Science.gov (United States)

Ehlers, Diane K; Huberty, Jennifer L

2014-09-01

The purpose of this study was to describe which theory-based behavioral and technological features middle-aged women prefer to be included in a mobile application designed to help them adopt and maintain regular physical activity (PA). Women aged 30 to 64 years (N = 120) completed an online survey measuring their demographics and mobile PA application preferences. The survey was developed upon behavioral principles of Social Cognitive Theory, recent mobile app research, and technology adoption principles of the Unified Theory of Acceptance and Use of Technology. Frequencies were calculated and content analyses conducted to identify which features women most preferred. Behavioral features that help women self-regulate their PA (PA tracking, goal-setting, progress monitoring) were most preferred. Technological features that enhance perceived effort expectancy and playfulness were most preferred. Many women reported the desire to interact and compete with others through the application. Theory-based PA self-regulation features and theory-based design features that improve perceived effort expectancy and playfulness may be most beneficial in a mobile PA application for middle-aged women. Opportunities to interact with other people and the employment of social, game-like activities may also be attractive. Interdisciplinary engagement of experts in PA behavior change, technology adoption, and software development is needed.

Breast Metastases from Extramammary Malignancies: Typical and Atypical Ultrasound Features

Energy Technology Data Exchange (ETDEWEB)

Mun, Sung Hee [Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710 (Korea, Republic of); Department of Radiology, Catholic University of Daegu College of Medicine, Daegu 712-702 (Korea, Republic of); Ko, Eun Young; Han, Boo-Kyung; Shin, Jung Hee [Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710 (Korea, Republic of); Kim, Suk Jung [Department of Radiology, Inje University College of Medicine, Busan Paik Hospital, Busan 614-735 (Korea, Republic of); Cho, Eun Yoon [Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710 (Korea, Republic of)

2014-07-01

Breast metastases from extramammary malignancies are uncommon. The most common sources are lymphomas/leukemias and melanomas. Some of the less common sources include carcinomas of the lung, ovary, and stomach, and infrequently, carcinoid tumors, hypernephromas, carcinomas of the liver, tonsil, pleura, pancreas, cervix, perineum, endometrium and bladder. Breast metastases from extramammary malignancies have both hematogenous and lymphatic routes. According to their routes, there are common radiological features of metastatic diseases of the breast, but the features are not specific for metastases. Typical ultrasound (US) features of hematogenous metastases include single or multiple, round to oval shaped, well-circumscribed hypoechoic masses without spiculations, calcifications, or architectural distortion; these masses are commonly located superficially in subcutaneous tissue or immediately adjacent to the breast parenchyma that is relatively rich in blood supply. Typical US features of lymphatic breast metastases include diffusely and heterogeneously increased echogenicities in subcutaneous fat and glandular tissue and a thick trabecular pattern with secondary skin thickening, lymphedema, and lymph node enlargement. However, lesions show variable US features in some cases, and differentiation of these lesions from primary breast cancer or from benign lesions is difficult. In this review, we demonstrate various US appearances of breast metastases from extramammary malignancies as typical and atypical features, based on the results of US and other imaging studies performed at our institution. Awareness of the typical and atypical imaging features of these lesions may be helpful to diagnose metastatic lesions of the breast.

Breast Metastases from Extramammary Malignancies: Typical and Atypical Ultrasound Features

International Nuclear Information System (INIS)

Mun, Sung Hee; Ko, Eun Young; Han, Boo-Kyung; Shin, Jung Hee; Kim, Suk Jung; Cho, Eun Yoon

2014-01-01

Breast metastases from extramammary malignancies are uncommon. The most common sources are lymphomas/leukemias and melanomas. Some of the less common sources include carcinomas of the lung, ovary, and stomach, and infrequently, carcinoid tumors, hypernephromas, carcinomas of the liver, tonsil, pleura, pancreas, cervix, perineum, endometrium and bladder. Breast metastases from extramammary malignancies have both hematogenous and lymphatic routes. According to their routes, there are common radiological features of metastatic diseases of the breast, but the features are not specific for metastases. Typical ultrasound (US) features of hematogenous metastases include single or multiple, round to oval shaped, well-circumscribed hypoechoic masses without spiculations, calcifications, or architectural distortion; these masses are commonly located superficially in subcutaneous tissue or immediately adjacent to the breast parenchyma that is relatively rich in blood supply. Typical US features of lymphatic breast metastases include diffusely and heterogeneously increased echogenicities in subcutaneous fat and glandular tissue and a thick trabecular pattern with secondary skin thickening, lymphedema, and lymph node enlargement. However, lesions show variable US features in some cases, and differentiation of these lesions from primary breast cancer or from benign lesions is difficult. In this review, we demonstrate various US appearances of breast metastases from extramammary malignancies as typical and atypical features, based on the results of US and other imaging studies performed at our institution. Awareness of the typical and atypical imaging features of these lesions may be helpful to diagnose metastatic lesions of the breast

Discourse Characteristics of Self-Help Books: The Example of The 7 Habits of Highly Effective People by Stephen R. Covey

OpenAIRE

Nerat, Tamara

2017-01-01

The main purpose of the thesis was to explore the discourse characteristics in self-help books on the example of a popular classic of this genre. The aim was a discourse analysis of the self-help manual The 7 Habits of Highly Effective People (1989) by Stephen R. Covey. The book falls under the self-help category and includes typical features which are common for the genre. The thesis presents the distinguishing characteristics and shows the conventions which make it a typical representative ...

Occupational methaemoglobinaemia. Mechanisms of production, features, diagnosis and management including the use of methylene blue.

Science.gov (United States)

Bradberry, Sally M

2003-01-01

Methaemoglobin is formed by oxidation of ferrous (FeII) haem to the ferric (FeIII) state and the mechanisms by which this occurs are complex. Most cases are due to one of three processes. Firstly, direct oxidation of ferrohaemoglobin, which involves the transfer of electrons from ferrous haem to the oxidising compound. This mechanism proceeds most readily in the absence of oxygen. Secondly, indirect oxidation, a process of co-oxidation which requires haemoglobin-bound oxygen and is involved, for example, in nitrite-induced methaemoglobinaemia. Thirdly, biotransformation of a chemical to an active intermediate that initiates methaemoglobin formation by a variety of mechanisms. This is the means by which most aromatic compounds, such as amino- and nitro-derivatives of benzene, produce methaemoglobin. Methaemoglobinaemia is an uncommon occupational occurrence. Aromatic compounds are responsible for most cases, their lipophilic nature and volatility facilitating absorption during dermal and inhalational exposure, the principal routes implicated in the workplace. Methaemoglobinaemia presents clinically with symptoms and signs of tissue hypoxia. Concentrations around 80% are life-threatening. Features of toxicity may develop over hours or even days when exposure, whether by inhalation or repeated skin contact, is to relatively low concentrations of inducing chemical(s). Not all features observed in patients with methaemoglobinaemia are due to methaemoglobin formation. For example, the intravascular haemolysis caused by oxidising chemicals such as chlorates poses more risk to life than the methaemoglobinaemia that such chemicals induce. If an occupational history is taken, the diagnosis of methaemoglobinaemia should be relatively straightforward. In addition, two clinical observations may help: firstly, the victim is often less unwell than one would expect from the severity of 'cyanosis' and, secondly, the 'cyanosis' is unresponsive to oxygen therapy. Pulse oximetry is

3 Tools to Help You Quit | NIH MedlinePlus the Magazine

Science.gov (United States)

... Javascript on. Feature: Quit Smoking 3 Tools to Help You Quit Past Issues / Winter 2011 Table of ... others. Understanding what tempts you and when can help control the urge to smoke. Whether you use ...

Online feature selection with streaming features.

Science.gov (United States)

Wu, Xindong; Yu, Kui; Ding, Wei; Wang, Hao; Zhu, Xingquan

2013-05-01

We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in advance. We define streaming features as features that flow in one by one over time whereas the number of training examples remains fixed. This is in contrast with traditional online learning methods that only deal with sequentially added observations, with little attention being paid to streaming features. The critical challenges for Online Streaming Feature Selection (OSFS) include 1) the continuous growth of feature volumes over time, 2) a large feature space, possibly of unknown or infinite size, and 3) the unavailability of the entire feature set before learning starts. In the paper, we present a novel Online Streaming Feature Selection method to select strongly relevant and nonredundant features on the fly. An efficient Fast-OSFS algorithm is proposed to improve feature selection performance. The proposed algorithms are evaluated extensively on high-dimensional datasets and also with a real-world case study on impact crater detection. Experimental results demonstrate that the algorithms achieve better compactness and higher prediction accuracy than existing streaming feature selection algorithms.

Help system for control of JAERI FEL (Free Electron laser)

International Nuclear Information System (INIS)

Sugimoto, Masayoshi

1993-01-01

The control system of JAERI FEL (Free Electron Laser) has a help system to provide the information necessary to operate the machine and to develop the new user interface. As the control software is constructed on the MS-Windows 3.x, the hyper-text feature of the Windows help system can be accessed. It consists of three major parts: (1) on-line help, (2) full document, and (3) tutorial system. (author)

Anatomic features involved in technical complexity of partial nephrectomy.

Science.gov (United States)

Hou, Weibin; Yan, Weigang; Ji, Zhigang

2015-01-01

Nephrometry score systems, including RENAL nephrometry, preoperative aspects and dimensions used for an anatomical classification system, C-index, diameter-axial-polar nephrometry, contact surface area score, calculating resected and ischemized volume, renal tumor invasion index, surgical approach renal ranking score, zonal NePhRO score, and renal pelvic score, have been reviewed. Moreover, salient anatomic features like the perinephric fat and vascular variants also have been discussed. We then extract 7 anatomic characteristics, namely tumor size, spatial location, adjacency, exophytic/endophytic extension, vascular variants, pelvic anatomy, and perinephric fat as important features for partial nephrectomy. For novice surgeons, comprehensive and adequate anatomic consideration may help them in their early clinical practice. Copyright © 2015 Elsevier Inc. All rights reserved.

Passive Safety Features for Small Modular Reactors

International Nuclear Information System (INIS)

Ingersoll, Daniel T.

2010-01-01

The rapid growth in the size and complexity of commercial nuclear power plants in the 1970s spawned an interest in smaller, simpler designs that are inherently or intrinsically safe through the use of passive design features. Several designs were developed, but none were ever built, although some of their passive safety features were incorporated into large commercial plant designs that are being planned or built today. In recent years, several reactor vendors are actively redeveloping small modular reactor (SMR) designs with even greater use of passive features. Several designs incorporate the ultimate in passive safety they completely eliminate specific accident initiators from the design. Other design features help to reduce the likelihood of an accident or help to mitigate the accidents consequences, should one occur. While some passive safety features are common to most SMR designs, irrespective of the coolant technology, other features are specific to water, gas, or liquid-metal cooled SMR designs. The extensive use of passive safety features in SMRs promise to make these plants highly robust, protecting both the general public and the owner/investor. Once demonstrated, these plants should allow nuclear power to be used confidently for a broader range of customers and applications than will be possible with large plants alone.

Cutaneous features seen in primary liver cell (Hepatocellular ...

African Journals Online (AJOL)

kemrilib

features associated with the entity as a possible aid to diagnosis cutaneous features being considered a cheap tool that can help ... liver cell cancer (PLCC) and cancer of the breast and ... laboratory based -abdominal ultrasonography, liver.

MR features of the developing perianterior horn structure including subcallosal fasciculus in infants and children

International Nuclear Information System (INIS)

Utsunomiya, Hidetsuna; Nakamura, Yasuhiro

2007-01-01

To describe the changes in the magnetic resonance (MR) signal of the perianterior horn structure (PAS) with increasing age, we studied 69 infants and children aged between 3 days and 9.4 years (average: 2.8 years) without any neurological deficits. T1- and T2-weighted images and FLAIR (fluid attenuation inversion recovery) images were obtained in the axial plane. Based on a comparison of the intensity of the PAS with that of the cortex in each sequence (T1-WI/FLAIR/T2-WI), we classified the signal-intensity patterns into four types: I, low/low/high; II, low/high/high; III, iso/high/high; IV, high/low/low. Signal-intensity types I, II, III and IV were seen in 22, 8, 17, and 22 subjects, respectively, with younger subjects showing type I or II intensity patterns and older subjects showing type III or IV. In addition, T1-weighted and FLAIR images of subjects with a type I intensity pattern showed a rim of an isointensity component around the PAS that histologically coincided with migrating glial cells. The low-intensity area on FLAIR and T2-WI images of subjects with a type IV intensity pattern may represent myelinated fibers of the subcallosal fasciculus (ScF). The intensity of the MR signals of the PAS changes with increasing age, and this change may reflect histological features. A better understanding of these characteristics may help us to clarify myelination abnormalities, particularly those related to the ScF in the frontal lobe in infants and children. (orig.)

Significant Histological Features Differentiating Cellular Fibroadenoma from Phyllodes Tumor on Core Needle Biopsies

Science.gov (United States)

Yasir, Saba; Gamez, Roberto; Jenkins, Sarah; Visscher, Daniel W.; Nassar, Aziza

2015-01-01

Objectives Cellular fibroepithelial lesions (CFEL) are a heterogeneous group of tumors encompassing cellular fibroadenoma (CFA) and phyllodes tumor (PT). Distinction between the two is challenging on core needle biopsy (CNB). The objective of this study was to evaluate histological features that can help distinguish PT from CFA on CNB. Methods Records of all patients diagnosed with CFEL on CNB with follow-up excision between 2002 and 2012 were retrieved. Histopathological stromal features were evaluated on CNB including mitoses per 10 HPF, overgrowth, increased cellularity, fragmentation, adipose tissue infiltration, heterogeneity, subepithelial condensation, and nuclear pleomorphism. Results Twenty-seven of 64 (42.2%) were diagnosed as PT (24 BPT, 3 borderline PT) and 37 (57.8%) as CFA on excision. All features except for increased stromal cellularity were statistically significant. The average number of histologic features seen in PT and CFA was 3.9 and 1.4, respectively (OR 7.27; 95% CI: 2.44, 21.69; p= 0.0004). The average mitoses per 10 HPF was 3.0 for PT as compared to 0.8 for CFA (OR 2.14; 95% CI: 1.18, 3.86; p= 0.01). Conclusions The presence of mitosis (3 or more) and/or total histologic features of 3 or more on CNB were most helpful features in predicting PT on excision. PMID:25125627

Remote health monitoring: predicting outcome success based on contextual features for cardiovascular disease.

Science.gov (United States)

Alshurafa, Nabil; Eastwood, Jo-Ann; Pourhomayoun, Mohammad; Liu, Jason J; Sarrafzadeh, Majid

2014-01-01

Current studies have produced a plethora of remote health monitoring (RHM) systems designed to enhance the care of patients with chronic diseases. Many RHM systems are designed to improve patient risk factors for cardiovascular disease, including physiological parameters such as body mass index (BMI) and waist circumference, and lipid profiles such as low density lipoprotein (LDL) and high density lipoprotein (HDL). There are several patient characteristics that could be determining factors for a patient's RHM outcome success, but these characteristics have been largely unidentified. In this paper, we analyze results from an RHM system deployed in a six month Women's Heart Health study of 90 patients, and apply advanced feature selection and machine learning algorithms to identify patients' key baseline contextual features and build effective prediction models that help determine RHM outcome success. We introduce Wanda-CVD, a smartphone-based RHM system designed to help participants with cardiovascular disease risk factors by motivating participants through wireless coaching using feedback and prompts as social support. We analyze key contextual features that secure positive patient outcomes in both physiological parameters and lipid profiles. Results from the Women's Heart Health study show that health threat of heart disease, quality of life, family history, stress factors, social support, and anxiety at baseline all help predict patient RHM outcome success.

Search Help

Science.gov (United States)

Guidance and search help resource listing examples of common queries that can be used in the Google Search Appliance search request, including examples of special characters, or query term seperators that Google Search Appliance recognizes.

Help Central: Creating a Help Desk and Knowledge Portal in SharePoint

Science.gov (United States)

Ennis, Lisa A.; Tims, Randy S.

2012-01-01

This article discusses the authors' implementation of Help Central, a site within the Lister Hill Library Collection on the University of Alabama-Birmingham's SharePoint server. Initially, Help Central was designed to address the inadequacies in the library's old, static HTML web-based support system, including haphazard issue reporting by staff…

Static, Lightweight Includes Resolution for PHP

NARCIS (Netherlands)

M.A. Hills (Mark); P. Klint (Paul); J.J. Vinju (Jurgen)

2014-01-01

htmlabstractDynamic languages include a number of features that are challenging to model properly in static analysis tools. In PHP, one of these features is the include expression, where an arbitrary expression provides the path of the file to include at runtime. In this paper we present two

Differential diagnosis of scrub typhus meningitis from tuberculous meningitis using clinical and laboratory features.

Science.gov (United States)

Valappil, Ashraf V; Thiruvoth, Sohanlal; Peedikayil, Jabir M; Raghunath, Praveenkumar; Thekkedath, Manojan

2017-12-01

The involvement of the central nervous system in the form of meningitis or meningoencephalitis is common in scrub typhus and is an important differential diagnosis of other lymphocytic meningitis like tuberculous meningitis (TBM). The aim of this study was to identify the clinical and laboratory parameters that may be helpful in differentiating scrub typhus meningitis from TBM. We compared of the clinical and laboratory features of 57 patients admitted with scrub typhus meningitis or TBM during a 3-year period. Patients who had abnormal cerebrospinal fluid (CSF) and positive scrub typhus enzyme-linked immunosorbent assay serology (n=28) were included in the scrub typhus meningitis group, while the TBM group included those who satisfied the consensus diagnostic criteria of TBM (n=29). Compared with the TBM group, the mean duration of symptoms was less in patients with scrub typhus meningitis, who also had a lower magnitude of neurological deficits, such as altered mental status and cranial nerve and motor deficits. Patients with scrub typhus meningitis had a lower CSF white blood-cell count (WBC) than the TBM group (130.8±213 195±175 cells/mm 3 , P=0.002), lower CSF protein elevation (125±120 vs. 195.2±108.2mg/dl, P=0.002), and higher CSF sugar (70.1±32.4 vs. 48.7±23.4mg/dl, P=0.006). Features predictive of the diagnosis of scrub typhus meningitis included the absence of neurological impairment at presentation, blood serum glutamic-oxaloacetic transaminase>40 international units (IU)/L, serum glutamic-pyruvic transaminase>60 IU/L, total blood leukocyte count>10,000/mm 3 , CSF protein50mg/dl, CSF WBC<100 cells/mm 3 . All patients with scrub typhus meningitis recovered completely following doxycycline therapy CONCLUSIONS: This study suggests that, clinical features, including duration of fever, neurological deficits at presentation and laboratory parameters such as CSF pleocytosis,CSF protein elevation, CSF sugar levels and liver enzyme values are helpful in

"Depression Can Disguise Itself…" —But There Is Help

Science.gov (United States)

... of this page please turn Javascript on. Feature: Depression "Depression Can Disguise Itself…" —But There Is Help Past ... 20 million Americans. What are the signs of depression? Sadness or inability to enjoy things are hallmarks ...

Feature level fusion of hand and face biometrics

Science.gov (United States)

Ross, Arun A.; Govindarajan, Rohin

2005-03-01

Multibiometric systems utilize the evidence presented by multiple biometric sources (e.g., face and fingerprint, multiple fingers of a user, multiple matchers, etc.) in order to determine or verify the identity of an individual. Information from multiple sources can be consolidated in several distinct levels, including the feature extraction level, match score level and decision level. While fusion at the match score and decision levels have been extensively studied in the literature, fusion at the feature level is a relatively understudied problem. In this paper we discuss fusion at the feature level in 3 different scenarios: (i) fusion of PCA and LDA coefficients of face; (ii) fusion of LDA coefficients corresponding to the R,G,B channels of a face image; (iii) fusion of face and hand modalities. Preliminary results are encouraging and help in highlighting the pros and cons of performing fusion at this level. The primary motivation of this work is to demonstrate the viability of such a fusion and to underscore the importance of pursuing further research in this direction.

Vehicle license plate recognition based on geometry restraints and multi-feature decision

Science.gov (United States)

Wu, Jianwei; Wang, Zongyue

2005-10-01

Vehicle license plate (VLP) recognition is of great importance to many traffic applications. Though researchers have paid much attention to VLP recognition there has not been a fully operational VLP recognition system yet for many reasons. This paper discusses a valid and practical method for vehicle license plate recognition based on geometry restraints and multi-feature decision including statistical and structural features. In general, the VLP recognition includes the following steps: the location of VLP, character segmentation, and character recognition. This paper discusses the three steps in detail. The characters of VLP are always declining caused by many factors, which makes it more difficult to recognize the characters of VLP, therefore geometry restraints such as the general ratio of length and width, the adjacent edges being perpendicular are used for incline correction. Image Moment has been proved to be invariant to translation, rotation and scaling therefore image moment is used as one feature for character recognition. Stroke is the basic element for writing and hence taking it as a feature is helpful to character recognition. Finally we take the image moment, the strokes and the numbers of each stroke for each character image and some other structural features and statistical features as the multi-feature to match each character image with sample character images so that each character image can be recognized by BP neural net. The proposed method combines statistical and structural features for VLP recognition, and the result shows its validity and efficiency.

Text Maps: Helping Students Navigate Informational Texts.

Science.gov (United States)

Spencer, Brenda H.

2003-01-01

Notes that a text map is an instructional approach designed to help students gain fluency in reading content area materials. Discusses how the goal is to teach students about the important features of the material and how the maps can be used to build new understandings. Presents the procedures for preparing and using a text map. (SG)

Helping Nevada School Children Become Sun Smart

Centers for Disease Control (CDC) Podcasts

This podcast features Christine Thompson, Community Programs Manager at the Nevada Cancer Coalition, and author of a recent study detailing a school-based program to help Nevada school children establish healthy sun safety habits and decrease UV exposure. Christine answers questions about her research and what impact her what impact the program had on children's skin health.

A similarity measure method combining location feature for mammogram retrieval.

Science.gov (United States)

Wang, Zhiqiong; Xin, Junchang; Huang, Yukun; Li, Chen; Xu, Ling; Li, Yang; Zhang, Hao; Gu, Huizi; Qian, Wei

2018-05-28

Breast cancer, the most common malignancy among women, has a high mortality rate in clinical practice. Early detection, diagnosis and treatment can reduce the mortalities of breast cancer greatly. The method of mammogram retrieval can help doctors to find the early breast lesions effectively and determine a reasonable feature set for image similarity measure. This will improve the accuracy effectively for mammogram retrieval. This paper proposes a similarity measure method combining location feature for mammogram retrieval. Firstly, the images are pre-processed, the regions of interest are detected and the lesions are segmented in order to get the center point and radius of the lesions. Then, the method, namely Coherent Point Drift, is used for image registration with the pre-defined standard image. The center point and radius of the lesions after registration are obtained and the standard location feature of the image is constructed. This standard location feature can help figure out the location similarity between the image pair from the query image to each dataset image in the database. Next, the content feature of the image is extracted, including the Histogram of Oriented Gradients, the Edge Direction Histogram, the Local Binary Pattern and the Gray Level Histogram, and the image pair content similarity can be calculated using the Earth Mover's Distance. Finally, the location similarity and content similarity are fused to form the image fusion similarity, and the specified number of the most similar images can be returned according to it. In the experiment, 440 mammograms, which are from Chinese women in Northeast China, are used as the database. When fusing 40% lesion location feature similarity and 60% content feature similarity, the results have obvious advantages. At this time, precision is 0.83, recall is 0.76, comprehensive indicator is 0.79, satisfaction is 96.0%, mean is 4.2 and variance is 17.7. The results show that the precision and recall of this

Multi-scale salient feature extraction on mesh models

KAUST Repository

Yang, Yongliang; Shen, ChaoHui

2012-01-01

We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes. © 2012 Springer-Verlag.

Significant histologic features differentiating cellular fibroadenoma from phyllodes tumor on core needle biopsy specimens.

Science.gov (United States)

Yasir, Saba; Gamez, Roberto; Jenkins, Sarah; Visscher, Daniel W; Nassar, Aziza

2014-09-01

Cellular fibroepithelial lesions (CFELs) are a heterogeneous group of tumors encompassing cellular fibroadenoma (CFA) and phyllodes tumor (PT). Distinction between the two is challenging on core needle biopsy (CNB) specimens. The objective of this study was to evaluate histologic features that can help distinguish PT from CFA on CNB specimens. Records of all patients diagnosed with CFELs on CNB specimens with follow-up excision between January 2002 and December 2012 were retrieved. Histopathologic stromal features were evaluated on CNB specimens, including mitoses per 10 high-power fields (hpf), overgrowth, increased cellularity, fragmentation, adipose tissue infiltration, heterogeneity, subepithelial condensation, and nuclear pleomorphism. Twenty-seven (42.2%) of 64 were diagnosed as PT (24 benign PTs and three borderline PTs) and 37 (57.8%) as CFA on excision. All features except for increased stromal cellularity were statistically significant. The average number of histologic features seen in PT and CFA was 3.9 and 1.4, respectively (odds ratio [OR], 7.27; 95% confidence interval [CI], 2.44-21.69; P = .0004). The average number of mitoses per 10 hpf was 3.0 for PT compared with 0.8 for CFA (OR, 2.14; 95% CI, 1.18-3.86; P = .01). The presence of mitoses (three or more) and/or total histologic features of three or more on CNB specimens were the most helpful features in predicting PT on excision. Copyright© by the American Society for Clinical Pathology.

Modeling crash injury severity by road feature to improve safety.

Science.gov (United States)

Penmetsa, Praveena; Pulugurtha, Srinivas S

2018-01-02

The objective of this research is 2-fold: to (a) model and identify critical road features (or locations) based on crash injury severity and compare it with crash frequency and (b) model and identify drivers who are more likely to contribute to crashes by road feature. Crash data from 2011 to 2013 were obtained from the Highway Safety Information System (HSIS) for the state of North Carolina. Twenty-three different road features were considered, analyzed, and compared with each other as well as no road feature. A multinomial logit (MNL) model was developed and odds ratios were estimated to investigate the effect of road features on crash injury severity. Among the many road features, underpass, end or beginning of a divided highway, and on-ramp terminal on crossroad are the top 3 critical road features. Intersection crashes are frequent but are not highly likely to result in severe injuries compared to critical road features. Roundabouts are least likely to result in both severe and moderate injuries. Female drivers are more likely to be involved in crashes at intersections (4-way and T) compared to male drivers. Adult drivers are more likely to be involved in crashes at underpasses. Older drivers are 1.6 times more likely to be involved in a crash at the end or beginning of a divided highway. The findings from this research help to identify critical road features that need to be given priority. As an example, additional advanced warning signs and providing enlarged or highly retroreflective signs that grab the attention of older drivers may help in making locations such as end or beginning of a divided highway much safer. Educating drivers about the necessary skill sets required at critical road features in addition to engineering solutions may further help them adopt safe driving behaviors on the road.

Computed Tomography Features of Incidentally Detected Diffuse Thyroid Disease

Directory of Open Access Journals (Sweden)

Myung Ho Rho

2014-01-01

Full Text Available Objective. This study aimed to evaluate the CT features of incidentally detected DTD in the patients who underwent thyroidectomy and to assess the diagnostic accuracy of CT diagnosis. Methods. We enrolled 209 consecutive patients who received preoperative neck CT and subsequent thyroid surgery. Neck CT in each case was retrospectively investigated by a single radiologist. We evaluated the diagnostic accuracy of individual CT features and the cut-off CT criteria for detecting DTD by comparing the CT features with histopathological results. Results. Histopathological examination of the 209 cases revealed normal thyroid (n=157, Hashimoto thyroiditis (n=17, non-Hashimoto lymphocytic thyroiditis (n=34, and diffuse hyperplasia (n=1. The CT features suggestive of DTD included low attenuation, inhomogeneous attenuation, increased glandular size, lobulated margin, and inhomogeneous enhancement. ROC curve analysis revealed that CT diagnosis of DTD based on the CT classification of “3 or more” abnormal CT features was superior. When the “3 or more” CT classification was selected, the sensitivity, specificity, positive and negative predictive values, and accuracy of CT diagnosis for DTD were 55.8%, 95.5%, 80.6%, 86.7%, and 85.6%, respectively. Conclusion. Neck CT may be helpful for the detection of incidental DTD.

Up from Dependency: A New National Public Assistance Strategy. Supplement 3: A Self-Help Catalog.

Science.gov (United States)

Kotler, Martin; And Others

Self-help among low-income people is vitally important. In no area is self-help more important than in overcoming poverty's burdens and energizing the escape from poverty. This document comprises an inventory of self-help and mutual-help programs that feature active involvement of members of the low-income population. The programs in this…

Robust emotion recognition using spectral and prosodic features

CERN Document Server

Rao, K Sreenivasa

2013-01-01

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.

Compensatory help-seeking in young and older adults: does seeking help, help?

Science.gov (United States)

Alea, Nicole; Cunningham, Walter R

2003-01-01

Asking other people for help is a compensatory behavior that may be useful across the life span to enhance functioning. Seventy-two older and younger men and women were either allowed to ask for help or were not allowed to ask for help while solving reasoning problems. Although the older adults answered fewer problems correctly, they did not seek additional help to compensate for their lower levels of performance. Younger adults sought more help. There were no age differences, however, in the types of help sought: indirect help (e.g., hints) was sought more often than direct help (e.g., asking for the answer). Exploratory analyses revealed that one's ability level was a better indicator than age of the utility of help-seeking. Findings are interpreted in the context of social and task-related influences on the use of help-seeking as a compensatory behavior across the life span.

Low-cost airlines consolidation as a feature of air transpoet globalization

OpenAIRE

Maltsev Andrey A.; Matveeva Anastasiya V.

2017-01-01

The increased industry consolidation resulting in the formation of new highly organized forms of cooperation is referred as one of the main features of air transport globalization at the present stage. Consolidation allows carriers to overcome the excessive competition and to strengthen their market position. It also helps them to optimize the route network and organizational structure of the company. This article includes the analysis of the dynam-ics of global air passenger traffic by low-c...

Towards the maturity model for feature oriented domain analysis

Directory of Open Access Journals (Sweden)

Muhammad Javed

2014-09-01

Full Text Available Assessing the quality of a model has always been a challenge for researchers in academia and industry. The quality of a feature model is a prime factor because it is used in the development of products. A degraded feature model leads the development of low quality products. Few efforts have been made on improving the quality of feature models. This paper is an effort to present our ongoing work i.e. development of FODA (Feature Oriented Domain Analysis maturity model which will help to evaluate the quality of a given feature model. In this paper, we provide the quality levels along with their descriptions. The proposed model consists of four levels starting from level 0 to level 3. Design of each level is based on the severity of errors, whereas severity of errors decreases from level 0 to level 3. We elaborate each level with the help of examples. We borrowed all examples from the material published by the research community of Software Product Lines (SPL for the application of our framework.

Teaching the Sociology of Popular Music with the Help of Feature Films: A Selected and Annotated Videography.

Science.gov (United States)

Groce, Stephen B.

1992-01-01

Discusses the use of feature films for courses on popular culture and the sociology of popular music. Suggests that films can illustrate topics such as culture, social groups, deviant behavior, racism, and sexism. Lists a selection of Hollywood feature films with accompanying readings and students' evaluations. (DK)

Cerebral oligodendroglioma: MR features indicating anaplastic changes

Energy Technology Data Exchange (ETDEWEB)

Choi, Choong Gon; Chang, Kee Hyun; Han, Moon Hee; Chi, Je Geun [Seoul National Univ., Seoul (Korea, Republic of); Yoon, Hyun Ki [Ulsan Univ., Seoul (Korea, Republic of)

1995-10-15

The purpose of this study is to find helpful MR findings for predicting anaplastic oligodendrogliomas. Retrospective analysis of 46 MR images and 37 CT scans was performed for 46 patients with pathologically-proven cerebral oligodendrogliomas. A neuropathologist graded the tumors as one of low-grade (n = 16), intermediate-grade (n = 12), or anaplastic oligodendroglioma (n 18). MR imaging features were retrospectively analysed with respect to histologic grading of the tumors. Contrast enhancement was observed always in anaplastic group (17/17), in a portion of intermediate-grade group (4/10) but not in low-grade group (0/4). Peritumoral edema was observed infrequently in anaplastic group (4/18) or intermediate-grade group (1/12). Cystic changes (25/46) or calcifications on CT Scans (14/37) were not related with histologic grading. Grossly identifiable hemorrhage was rare in this series (2/46). Among the various imaging features, only tumor enhancement and peritumoral edema were statistically significant for trend test ({rho} < 0.05). When considering the diagnosis of oligodendrogliomas, the presence of contrast enhancement or peritumoral edema is a helpful features suggesting anaplastic oligodendrogliomas.

Spatial features register: toward standardization of spatial features

Science.gov (United States)

Cascio, Janette

1994-01-01

As the need to share spatial data increases, more than agreement on a common format is needed to ensure that the data is meaningful to both the importer and the exporter. Effective data transfer also requires common definitions of spatial features. To achieve this, part 2 of the Spatial Data Transfer Standard (SDTS) provides a model for a spatial features data content specification and a glossary of features and attributes that fit this model. The model provides a foundation for standardizing spatial features. The glossary now contains only a limited subset of hydrographic and topographic features. For it to be useful, terms and definitions must be included for other categories, such as base cartographic, bathymetric, cadastral, cultural and demographic, geodetic, geologic, ground transportation, international boundaries, soils, vegetation, water, and wetlands, and the set of hydrographic and topographic features must be expanded. This paper will review the philosophy of the SDTS part 2 and the current plans for creating a national spatial features register as one mechanism for maintaining part 2.

Adding a Feature: Can a Pop-Up Chat Box Enhance Virtual Reference Services?

Science.gov (United States)

Fan, Suhua Caroline; Fought, Rick L; Gahn, Paul C

2017-01-01

Online users seek help from virtual reference services via email, phone, texting, and live chat. Technologies have enabled new features in library websites to help make this service more accessible and effective. This article is an evaluation of an experimental pop-up live chat box on the website of a health sciences library to see whether the feature would enhance virtual reference services.

Feature selection is the ReliefF for multiple instance learning

NARCIS (Netherlands)

Zafra, A.; Pechenizkiy, M.; Ventura, S.

2010-01-01

Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature selection techniques have been proposed for the traditional settings, where each instance is expected to have a label. In

Factors Influencing Professional Help-Seeking for Suicidality.

Science.gov (United States)

Han, Jin; Batterham, Philip J; Calear, Alison L; Randall, Rebecca

2018-05-01

Evidence suggests that the majority of people with suicidality do not seek help. Little systematic evaluation of factors influencing professional help-seeking has been done. To systematically evaluate the factors that influence professional help-seeking for suicidality. Published quantitative and qualitative studies in Medline and PsycInfo databases were reviewed following PRISMA. In all, 55 relevant studies were identified. Of these, 15 studies examined professional help-seeking intentions for perceived suicidal ideation, among people with or without suicidality; 21 studies examined professional help-seeking behavior among people with suicidality; and 19 studies examined suicidal decedents' health services use. Several potential important barriers were identified including high self-reliance, lack of perceived need for treatment, and stigmatizing attitudes toward suicide, toward mental health issues, and toward seeking professional treatment. The presence of suicidality and mental health issues was found to generally decrease help-seeking intentions for perceived suicidal ideation while facilitating actual service use. Social support and informal support from family and friends also played an important role in professional help-seeking. Although the majority of the included studies were of sound quality, some of the factors identified in the review were assessed in relatively few studies, and most of the included studies were conducted in industrialized countries. Further quantitative and qualitative studies examining the potential important factors in broader community samples, especially in developing countries, are needed.

Imaging features of benign adrenal cysts

International Nuclear Information System (INIS)

Sanal, Hatice Tuba; Kocaoglu, Murat; Yildirim, Duzgun; Bulakbasi, Nail; Guvenc, Inanc; Tayfun, Cem; Ucoz, Taner

2006-01-01

Benign adrenal gland cysts (BACs) are rare lesions with a variable histological spectrum and may mimic not only each other but also malignant ones. We aimed to review imaging features of BACs which can be helpful in distinguishing each entity and determining the subsequent appropriate management

Prototype and Evaluation of AutoHelp: A Case-based, Web-accessible Help Desk System for EOSDIS

Science.gov (United States)

Mitchell, Christine M.; Thurman, David A.

1999-01-01

AutoHelp is a case-based, Web-accessible help desk for users of the EOSDIS. Its uses a combination of advanced computer and Web technologies, knowledge-based systems tools, and cognitive engineering to offload the current, person-intensive, help desk facilities at the DAACs. As a case-based system, AutoHelp starts with an organized database of previous help requests (questions and answers) indexed by a hierarchical category structure that facilitates recognition by persons seeking assistance. As an initial proof-of-concept demonstration, a month of email help requests to the Goddard DAAC were analyzed and partially organized into help request cases. These cases were then categorized to create a preliminary case indexing system, or category structure. This category structure allows potential users to identify or recognize categories of questions, responses, and sample cases similar to their needs. Year one of this research project focused on the development of a technology demonstration. User assistance 'cases' are stored in an Oracle database in a combination of tables linking prototypical questions with responses and detailed examples from the email help requests analyzed to date. When a potential user accesses the AutoHelp system, a Web server provides a Java applet that displays the category structure of the help case base organized by the needs of previous users. When the user identifies or requests a particular type of assistance, the applet uses Java database connectivity (JDBC) software to access the database and extract the relevant cases. The demonstration will include an on-line presentation of how AutoHelp is currently structured. We will show how a user might request assistance via the Web interface and how the AutoHelp case base provides assistance. The presentation will describe the DAAC data collection, case definition, and organization to date, as well as the AutoHelp architecture. It will conclude with the year 2 proposal to more fully develop the

JCE Feature Columns

Science.gov (United States)

Holmes, Jon L.

1999-05-01

The Features area of JCE Online is now readily accessible through a single click from our home page. In the Features area each column is linked to its own home page. These column home pages also have links to them from the online Journal Table of Contents pages or from any article published as part of that feature column. Using these links you can easily find abstracts of additional articles that are related by topic. Of course, JCE Online+ subscribers are then just one click away from the entire article. Finding related articles is easy because each feature column "site" contains links to the online abstracts of all the articles that have appeared in the column. In addition, you can find the mission statement for the column and the email link to the column editor that I mentioned above. At the discretion of its editor, a feature column site may contain additional resources. As an example, the Chemical Information Instructor column edited by Arleen Somerville will have a periodically updated bibliography of resources for teaching and using chemical information. Due to the increase in the number of these resources available on the WWW, it only makes sense to publish this information online so that you can get to these resources with a simple click of the mouse. We expect that there will soon be additional information and resources at several other feature column sites. Following in the footsteps of the Chemical Information Instructor, up-to-date bibliographies and links to related online resources can be made available. We hope to extend the online component of our feature columns with moderated online discussion forums. If you have a suggestion for an online resource you would like to see included, let the feature editor or JCE Online (jceonline@chem.wisc.edu) know about it. JCE Internet Features JCE Internet also has several feature columns: Chemical Education Resource Shelf, Conceptual Questions and Challenge Problems, Equipment Buyers Guide, Hal's Picks, Mathcad

Echocardiography in helping to determine the causes of pericardial ...

African Journals Online (AJOL)

Pericardial disease is not uncommon in Sudan and the etiology may impose a diagnostic problem. The aim of this study is to determine the etiology of isolated pericardial effusion and to assess the usefulness of the echocardiographic features of the effusion in helping to determine the etiology. Patients and Methods:This is ...

Data-driven technology for engineering systems health management design approach, feature construction, fault diagnosis, prognosis, fusion and decisions

CERN Document Server

Niu, Gang

2017-01-01

This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.

The Impact of Combat Status on Veterans' Attitudes Toward Help Seeking: The Hierarchy of Combat Elitism.

Science.gov (United States)

Ashley, Wendy; Brown, Jodi Constantine

2015-01-01

Many veterans do not seek assistance for mental health concerns despite the staggering prevalence of trauma-related symptomatology. Barriers to service provision include personal and professional stigma and inter-veteran attitudes that dictate who is more or less deserving of services. Veteran attitudes are shaped by military culture, which promotes a hyper-masculine paradigm upholding combat experience as the defining feature of the "ideal soldier." The stratification of soldiers into combat or non-combat status creates a hierarchy of combat elitism that extends far beyond active duty. This pilot study surveyed veterans (n = 24) to explore how combat experience may affect attitudes toward help seeking. Findings indicate combat and non-combat veterans are less accepting of non-combat veterans' help-seeking behavior, supporting the notion that veterans' attitudes toward help seeking are influenced by combat status. Despite limitations, the results of this study reflect a need for increased attention to the attitudes veterans have about each other and themselves.

Self-help and help-seeking for communication disability in Ghana: implications for the development of communication disability rehabilitation services.

Science.gov (United States)

Wylie, Karen; McAllister, Lindy; Davidson, Bronwyn; Marshall, Julie; Amponsah, Clement; Bampoe, Josephine Ohenewa

2017-12-29

In low and middle-income countries, such as Ghana, communication disability is poorly recognised and rehabilitation services for people with communication disability are limited. As rehabilitation services for communication disability develop, and the profession of speech-language pathology grows, it is important to consider how services can most appropriately respond to the needs and preferences of the community. Understanding the ways in which people currently self-help and seek help for communication disability is central to developing services that build on existing local practices and are relevant to the community. A qualitative descriptive survey was used to explore likely self-help and help-seeking behaviours for communication disability, in Accra, Ghana. The survey required participants to describe responses to hypothetical scenarios related to communication disability. A mix of theoretical sampling and convenience sampling was used. Qualitative content analysis was used to analyse data and develop categories and subcategories of reported self-help behaviours and sources of help and advice for communication disability. One hundred and thirty-six participants completed the survey. Results indicated that community members would be likely to engage in a variety self-help strategies in response to communication disability. These included working directly with a person with a communication disability to attempt to remediate a communication impairment, altering physical and communication environments, changing attitudes or care practices, educating themselves about the communication disability, providing resources, and responding in spiritual ways. Participants indicated that they would seek help for communication disability across a range of sectors - including the Western healthcare, religious, and traditional sectors. Understanding existing community actions to self-help and help-seek may allow emerging communication rehabilitation services, including the

Servant Leadership: Teaching the Helping Professional

Science.gov (United States)

Fields, Joyce W.; Thompson, Karen C.; Hawkins, Julie R.

2015-01-01

Robert Greenleaf's principles of servant leadership are relevant to the helping professions, including empowerment and development of others, service to others, and open and participatory leadership. The study of servant leadership was infused into an undergraduate senior capstone experience (an internship) for emerging helping professionals…

Design data and safety features of commercial nuclear power plants including cumulative index for Volumes I--VI

International Nuclear Information System (INIS)

Heddleson, F.A.

1977-01-01

Design data, safety features, and site characteristics are summarized for 12 nuclear power units in 6 power stations in the United States. Six pages of data are presented for each station, consisting of thermal-hydraulic and nuclear factors, containment features, emergency-core-cooling systems, site features, circulating water system data, and miscellaneous factors. In addition, an aerial perspective is presented for each plant. This volume covers plants with docket numbers 50-553 through 50-569 (Phipps Bend, Black Fox, Yellow Creek, and NEP) and two earlier plants not previously reported--Hope Creek (50-354, 50-355) and WPPSS 1 and 4 (50-460, 50-513). Indexes for this volume and the five earlier volumes are presented in three forms--by docket number, by plant name, and by participating utility

Portal vein branching order helps in the recognition of anomalous right-sided round ligament: common features and variations in portal vein anatomy.

Science.gov (United States)

Yamashita, Rikiya; Yamaoka, Toshihide; Nishitai, Ryuta; Isoda, Hiroyoshi; Taura, Kojiro; Arizono, Shigeki; Furuta, Akihiro; Ohno, Tsuyoshi; Ono, Ayako; Togashi, Kaori

2017-07-01

This study aimed to evaluate the common features and variations of portal vein anatomy in right-sided round ligament (RSRL), which can help propose a method to detect and diagnose this anomaly. In this retrospective study of 14 patients with RSRL, the branching order of the portal tree was analyzed, with special focus on the relationship between the dorsal branch of the right anterior segmental portal vein (P A-D ) and the lateral segmental portal vein (P LL ), to determine the common features. The configuration of the portal vein from the main portal trunk to the right umbilical portion (RUP), the inclination of the RUP, and the number and thickness of the ramifications branching from the right anterior segmental portal vein (P A ) were evaluated for variations. In all subjects, the diverging point of the P A-D was constantly distal to that of the P LL . The portal vein configuration was I- and Z-shaped in nine and five subjects, respectively. The RUP was tilted to the right in all subjects. In Z-shaped subjects, the portal trunk between the branching point of the right posterior segmental portal vein and that of the P LL was tilted to the left in one subject and was almost parallel to the vertical plane in four subjects. Multiple ramifications were radially distributed from the P A in eight subjects, whereas one predominant P A-D branched from the P A in six subjects. Based on the diverging points of the P A-D and P LL , we proposed a three-step method for the detection and diagnosis of RSRL.

Clinical and imaging features of neonatal chlamydial pneumonia

International Nuclear Information System (INIS)

Cao Yongli; Peng Yun; Sun Guoqiang

2012-01-01

Objective: To study the clinical and imaging features of chlamydial pneumonia in newborns. Methods: Medical records,chest X-Ray and CT findings of 17 neonates with chlamydia pneumonia were reviewed. The age was ranged from 9.0 to 28.0 days with mean of (16.8 ± 5.8) days. There were 11 males and 6 females. Sixteen were full term infants and one was born post term. All babies were examined with chest X-ray film, and 13 patients also underwent chest CT scan. Serologic test using immunofluorescence method for Chlamydia IgG and IgM antibodies were performed in all patients. Results: All newborns presented with cough but without fever. Positive results of the serologic tests were demonstrated. Chest films showed bilateral hyperventilation in 10 patients, diffuse reticular nodules in 10 patients including nodules mimicking military tuberculosis in 7 patients, and accompanying consolidation in 9 patients. CT features included interstitial reticular nodules in 13 patients with size, density, and distribution varied. Subpleural nodules (11 patients) and fusion of nodules (10 patients) predominated. Bilateral hyperinflation was found in 10 patients, which combined with infiltration in 12 patients, thickening of bronchovascular bundles in 10 patients, and ground glass sign in 5 patients. No pleural effusion and lymphadenopathy was detected in any patient. Conclusions: Bilateral hyperinflation and diffuse interstitial reticular nodules were the most common imaging features of neonatal chlamydial pneumonia. The main clinical characteristic of neonatal chlamydial pneumonia is respiratory symptoms without fever, which is helpful to its diagnosis. (authors)

Mapping and Characterization of Paleoshoreline Features on the West Florida Shelf

Science.gov (United States)

Brizzolara, J. L.; Gray, J. W.; Locker, S. D.; Brooks, G.; Hommeyer, M.; Larson, R. A.; Lembke, C.; Grasty, S.; Murawski, S. A.

2017-12-01

High-resolution bathymetry data is limited to less than 5% coverage of the wide, shallow West Florida Shelf. The Continental Shelf Characterization and Mapping Project (C-SCAMP) has collected over 1200km2 of high-resolution multibeam bathymetry and backscatter data from 2015 to 2017, amounting to an additional 1%, and mapping efforts are ongoing. Complementary data sets including sediment analysis of Shipek grab samples and visual analysis of towed-underwater video from the Camera-Based Assessment Survey System (C-BASS) help to further identify seafloor characteristics and habitat assemblages in these areas. Multibeam data reveal three paleoshoreline complexes of similar character between 40m and 80m water depth. These paleo-peninsulas extend 30-40km oblique to regional contours. Each area includes a main ridge axis with smaller ridge complexes splitting off on the southern end, and a prominent ridge along the steeper western margin of the feature. Preserved features observed in bathymetry within these paleo-peninsulas include shorelines, dune complexes, shoals, tidal deltas, and spit formations. Preliminary analysis of sediment samples shows that higher backscatter on the shallower portions of these features corresponds with coarser-grained sediments. The high-relief ridges apparent in bathymetry are shown to be moderate- to high-relief hard bottom in towed-underwater video. The analysis of these different data types will result in detailed description of the geomorphology and benthic habitat characteristics, including relationships between depth, slope, rugosity, backscatter, and bottom types. These characteristics are influenced by paleoshoreline structures. Previously collected sub-surface data, as well as modern analogs, such as the west coast of Florida, western Australia and other low-latitude, low-relief coasts provide insight into the geologic origin of these features.

Clinical features and outcome analysis of intracranial hydatid cysts

International Nuclear Information System (INIS)

Khan, M.M.; Shah, M.; Ayub, S.; Ahmad, A.; Aman, A.; Shah, M.A.; Rehman, R.U.

2016-01-01

Background: Hydatid cyst of the brain is a serious zoonotic parasitic infection which have profound health consequences if left untreated. The surgical excision of the cysts are rewarding for both the patient the neurosurgeon. Methods: The study was conducted prospectively at Department of Neurosurgery Hayatabad Medical Complex Peshawar from January 2013 to December 2014. Patients with a diagnosis of intracranial hydatid cysts were included, clinical and radiological features recorded, intervention and postoperative outcome were analysed. Results: Eleven patients with a male to female ratio of 1.7:1. Mean age was 12.4 (SD±6.5) years with median GCS on arrival of 10 (SD±2.5). Clinical features were headache (81.8 percentage), vomiting (90.9 percentage), seizures (36.4 percentage), focal deficits (54.5 percentage) and papilloedema (72.7 percentage). The median GCS on discharge was 13 (SD±1.1) while GOS at 1 month follow up was 4 (SD±0.7). The bivariate analysis showed inverse correlation (R2=-0.68; p=0.02) between duration of symptoms and outcome while GCS on admission was positively correlated (rs=0.75; p=0.007) with the outcome. There was no mortality. Conclusion: Despite its rarity the clinical features are non-specific while radiological features help in establishing diagnosis. Earlier diagnosis and prompt intervention is the key to favourable outcome. (author)

Patterns of Dysmorphic Features in Schizophrenia

Science.gov (United States)

Scutt, L.E.; Chow, E.W.C.; Weksberg, R.; Honer, W.G.; Bassett, Anne S.

2011-01-01

Congenital dysmorphic features are prevalent in schizophrenia and may reflect underlying neurodevelopmental abnormalities. A cluster analysis approach delineating patterns of dysmorphic features has been used in genetics to classify individuals into more etiologically homogeneous subgroups. In the present study, this approach was applied to schizophrenia, using a sample with a suspected genetic syndrome as a testable model. Subjects (n = 159) with schizophrenia or schizoaffective disorder were ascertained from chronic patient populations (random, n=123) or referred with possible 22q11 deletion syndrome (referred, n = 36). All subjects were evaluated for presence or absence of 70 reliably assessed dysmorphic features, which were used in a three-step cluster analysis. The analysis produced four major clusters with different patterns of dysmorphic features. Significant between-cluster differences were found for rates of 37 dysmorphic features (P dysmorphic features (P = 0.0001), and validating features not used in the cluster analysis: mild mental retardation (P = 0.001) and congenital heart defects (P = 0.002). Two clusters (1 and 4) appeared to represent more developmental subgroups of schizophrenia with elevated rates of dysmorphic features and validating features. Cluster 1 (n = 27) comprised mostly referred subjects. Cluster 4 (n= 18) had a different pattern of dysmorphic features; one subject had a mosaic Turner syndrome variant. Two other clusters had lower rates and patterns of features consistent with those found in previous studies of schizophrenia. Delineating patterns of dysmorphic features may help identify subgroups that could represent neurodevelopmental forms of schizophrenia with more homogeneous origins. PMID:11803519

Feature: Controlling Seasonal Allergies | NIH Medlineplus the Magazine

Science.gov (United States)

... this page please turn Javascript on. Feature: Seasonal Allergies Controlling Seasonal Allergies Past Issues / Spring 2012 Table of Contents In ... to allergens, helping to prevent allergic reactions. Seasonal Allergy Research at NIH Allergen and T-Cell Reagent ...

Professional Help-Seeking for Adolescent Dating Violence in the Rural South: The Role of Social Support and Informal Help-Seeking

Science.gov (United States)

Hedge, Jasmine M.; Sianko, Natallia; McDonell, James R.

2016-01-01

Structural equation modeling with three waves of data was used to assess a mediation model investigating the relationship between perceived social support, informal help-seeking intentions, and professional help-seeking intentions in the context of adolescent dating violence. The sample included 589 adolescents from a rural, southern county who participated in a longitudinal study of teen dating violence victimization and perpetration. Results suggest that informal help-seeking intentions are an important link between perceived social support and professional help-seeking intentions. Findings highlight the importance of informal help-seeking and informal help-giving in fostering professional help-seeking for adolescent victims and perpetrators of dating violence. PMID:27580981

Formal home help services and institutionalization

DEFF Research Database (Denmark)

Yamada, Yukari; Siersma, Volkert; Avlund, Kirsten

2012-01-01

The effect of home help services has been inconsistent. Raising the hypothesis that receiving small amounts of home help may postpone or prevent institutionalization, the aim of the present study is to analyze how light and heavy use of home help services was related to the risk...... for institutionalization. The study was a secondary analysis of a Danish intervention study on preventive home visits in 34 municipalities from 1999 to 2003, including 2642 home-dwelling older people who were nondisabled and did not receive public home help services at baseline in 1999 and who lived at home 18 months...... after baseline. Cox regression analysis showed that those who received home help services during the first 18 months after baseline were at higher risk of being institutionalized during the subsequent three years than those who did not receive such services. However, receiving home help for less than 1h...

Clinical Features of Osteogenesis Imperfecta in Taiwan

Directory of Open Access Journals (Sweden)

Hsiang-Yu Lin

2009-07-01

Conclusion: Nine of the 11 clinical features examined—height, weight, BMD, dentinogenesis imperfecta, bone deformity, scoliosis, walking ability, fracture rate, and family history—were significantly different among the three types of OI patients. This finding may be of help in evaluating patients and establishing their prognosis.

Including Emotional Intelligence in Pharmacy Curricula to Help Achieve CAPE Outcomes.

Science.gov (United States)

Nelson, Michael H; Fierke, Kerry K; Sucher, Brandon J; Janke, Kristin K

2015-05-25

The importance of emotional intelligence (EI) for effective teamwork and leadership within the workplace is increasingly apparent. As suggested by the 2013 CAPE Outcomes, we recommend that colleges and schools of pharmacy consider EI-related competencies to build self-awareness and professionalism among students. In this Statement, we provide two examples of the introduction of EI into pharmacy curricula. In addition, we provide a 4-phase process based on recommendations developed by EI experts for structuring and planning EI development. Finally, we make 9 recommendations' to inform the process of including EI in pharmacy curricula.

Help Helps, but Only so Much: Research on Help Seeking with Intelligent Tutoring Systems

Science.gov (United States)

Aleven, Vincent; Roll, Ido; McLaren, Bruce M.; Koedinger, Kenneth R.

2016-01-01

Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's request. The Help Tutor was a tutor agent that gave in-context, real-time feedback on students' help-seeking behavior, as they were learning with an ITS.…

Trust, power, and vulnerability: a discourse on helping in nursing.

Science.gov (United States)

Carter, Michele A

2009-12-01

This article uses philosophical inquiry to present the relationship between the helping role in nursing and the concept of trust essential to it. It characterizes helping as the moral center of the nurse-patient relationship and discusses how patients' expectations of help and caring create obligations of trustworthiness on the part of the nurse. It uses literature from various disciplines to examine different theoretical accounts of trust, each presenting important features of trust relationships that apply to health care professionals, patients, and families. Exploring the concept of trust, and the key leverage points that elicit it, develops a thesis that nurses can improve their understanding of the principal attributes and the conditions that foster or impede trust. The article concludes that trust is the core moral ingredient of helping relationships. Trust as a moral value is even more basic than duties of beneficence, respect, veracity, and autonomy. Trust is the confident expectation that others can be relied upon to act with good will and to secure what is best for the person seeking help.

Feature Vector Construction Method for IRIS Recognition

Science.gov (United States)

Odinokikh, G.; Fartukov, A.; Korobkin, M.; Yoo, J.

2017-05-01

One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent comparison. Thorough investigation of feature vectors obtained from iris showed that not all the vector elements are equally relevant. There are two characteristics which determine the vector element utility: fragility and discriminability. Conventional iris feature extraction methods consider the concept of fragility as the feature vector instability without respect to the nature of such instability appearance. This work separates sources of the instability into natural and encodinginduced which helps deeply investigate each source of instability independently. According to the separation concept, a novel approach of iris feature vector construction is proposed. The approach consists of two steps: iris feature extraction using Gabor filtering with optimal parameters and quantization with separated preliminary optimized fragility thresholds. The proposed method has been tested on two different datasets of iris images captured under changing environmental conditions. The testing results show that the proposed method surpasses all the methods considered as a prior art by recognition accuracy on both datasets.

Abdominal tuberculosis: Imaging features

International Nuclear Information System (INIS)

Pereira, Jose M.; Madureira, Antonio J.; Vieira, Alberto; Ramos, Isabel

2005-01-01

Radiological findings of abdominal tuberculosis can mimic those of many different diseases. A high level of suspicion is required, especially in high-risk population. In this article, we will describe barium studies, ultrasound (US) and computed tomography (CT) findings of abdominal tuberculosis (TB), with emphasis in the latest. We will illustrate CT findings that can help in the diagnosis of abdominal tuberculosis and describe imaging features that differentiate it from other inflammatory and neoplastic diseases, particularly lymphoma and Crohn's disease. As tuberculosis can affect any organ in the abdomen, emphasis is placed to ileocecal involvement, lymphadenopathy, peritonitis and solid organ disease (liver, spleen and pancreas). A positive culture or hystologic analysis of biopsy is still required in many patients for definitive diagnosis. Learning objectives:1.To review the relevant pathophysiology of abdominal tuberculosis. 2.Illustrate CT findings that can help in the diagnosis

Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.

Science.gov (United States)

Shan, Juan; Alam, S Kaisar; Garra, Brian; Zhang, Yingtao; Ahmed, Tahira

2016-04-01

This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs categories were designed and tested using a database of 283 pathology-proven benign and malignant lesions. Features were selected based on classification performance using a "bottom-up" approach for different machine learning methods, including decision tree, artificial neural network, random forest and support vector machine. Using 10-fold cross-validation on the database of 283 cases, the highest area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 from a support vector machine with 77.7% overall accuracy; the highest overall accuracy, 78.5%, was from a random forest with the AUC 0.83. Lesion margin and orientation were optimum features common to all of the different machine learning methods. These features can be used in CAD systems to help distinguish benign from worrisome lesions. Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. All rights reserved.

Complex Topographic Feature Ontology Patterns

Science.gov (United States)

Varanka, Dalia E.; Jerris, Thomas J.

2015-01-01

Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic modules of a domain ontology called Topography that includes within its sphere basic feature types, resource systems, and landscape types. Context is constructed not only as a spatial and temporal setting, but a setting also based on environmental processes. Types of spatial relations that exist between components include location, generative processes, and description. An example is offered in a complex feature type ‘mine.’ The identification and extraction of complex feature types are an area for future research.

Hierarchical feature selection for erythema severity estimation

Science.gov (United States)

Wang, Li; Shi, Chenbo; Shu, Chang

2014-10-01

At present PASI system of scoring is used for evaluating erythema severity, which can help doctors to diagnose psoriasis [1-3]. The system relies on the subjective judge of doctors, where the accuracy and stability cannot be guaranteed [4]. This paper proposes a stable and precise algorithm for erythema severity estimation. Our contributions are twofold. On one hand, in order to extract the multi-scale redness of erythema, we design the hierarchical feature. Different from traditional methods, we not only utilize the color statistical features, but also divide the detect window into small window and extract hierarchical features. Further, a feature re-ranking step is introduced, which can guarantee that extracted features are irrelevant to each other. On the other hand, an adaptive boosting classifier is applied for further feature selection. During the step of training, the classifier will seek out the most valuable feature for evaluating erythema severity, due to its strong learning ability. Experimental results demonstrate the high precision and robustness of our algorithm. The accuracy is 80.1% on the dataset which comprise 116 patients' images with various kinds of erythema. Now our system has been applied for erythema medical efficacy evaluation in Union Hosp, China.

Unique cytologic features of thyroiditis caused by immune checkpoint inhibitor therapy for malignant melanoma

Directory of Open Access Journals (Sweden)

Trevor E. Angell

2018-03-01

Full Text Available Blockade of immune checkpoint molecules to reverse cancer-induced immune suppression can improve anti-tumor immune responses in cancer patients. Monoclonal antibodies targeting two such molecules, Programmed cell death protein 1 (PD-1 and cytotoxic T-lymphocyte associated protein 4 (CTLA-4 have shown clinical benefit in the treatment of advanced malignancies, including metastatic melanoma. Adverse effects of these immune checkpoint inhibitors include immune-related adverse events (irAE, of which one of the most common is autoimmune thyroiditis. Though thyroiditis is increasingly recognized, there are no reports of the pathological findings that occur in immunotherapy-induced thyroiditis. We present a case of immunotherapy-induced thyroiditis demonstrating its unique cytopathologic features. A 51-year-old woman with metastatic melanoma was found to have a suppressed TSH and elevated free thyroxine concentration 14 days after starting treatment with nivolumab (PD-1 antagonist plus ipilimumab (CTLA-4 antagonist therapy. A thyroid biopsy was performed based on ultrasound findings and cytopathology revealed unique features including abundant clusters of necrotic cells, lymphocytes and CD163-positive histiocytes. This case reports cytopathologic features found in immune checkpoint inhibitor related thyroiditis. These appear to be unique findings and may help inform future research regarding the pathophysiology and mechanisms of this condition.

Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

Directory of Open Access Journals (Sweden)

Lijun Wang

2013-01-01

Full Text Available Brain decoding with functional magnetic resonance imaging (fMRI requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern classification methods. Feature selection is a critical procedure of MVPA because it decides which features will be included in the classification analysis of fMRI data, thereby improving the performance of the classifier. Features can be selected by limiting the analysis to specific anatomical regions or by computing univariate (voxel-wise or multivariate statistics. However, these methods either discard some informative features or select features with redundant information. This paper introduces the principal feature analysis as a novel multivariate feature selection method for fMRI data processing. This multivariate approach aims to remove features with redundant information, thereby selecting fewer features, while retaining the most information.

Ultrasonographic features of normal lower ureters

International Nuclear Information System (INIS)

Kim, Young Soon; Bae, M. Y.; Park, K. J.; Jeon, H. S.; Lee, J. H.

1990-01-01

Although ultrasonographic evaluation of the normal ureters is difficult due to bowel gas, the lower segment of the normal ureters can be visualized using the urinary bladder as an acoustic window. Authors prospetively performed ultrasonography with the standard suprapubic technique and analyzed the ultrasonographic features of normal lower ureters in 79 cases(77%). Length of visualized segment of the distal ureter ranged frp, 1.5cm to 7.2 cm and the visualized segment did not exceed 3.9mm in maximum diameter. Knowledge of sonographic features of the normal lower ureters can be helpful in the evaluation of pathologic or suspected pathologic conditions of the lower ureters

Statistical analyses of conserved features of genomic islands in bacteria.

Science.gov (United States)

Guo, F-B; Xia, Z-K; Wei, W; Zhao, H-L

2014-03-17

We performed statistical analyses of five conserved features of genomic islands of bacteria. Analyses were made based on 104 known genomic islands, which were identified by comparative methods. Four of these features include sequence size, abnormal G+C content, flanking tRNA gene, and embedded mobility gene, which are frequently investigated. One relatively new feature, G+C homogeneity, was also investigated. Among the 104 known genomic islands, 88.5% were found to fall in the typical length of 10-200 kb and 80.8% had G+C deviations with absolute values larger than 2%. For the 88 genomic islands whose hosts have been sequenced and annotated, 52.3% of them were found to have flanking tRNA genes and 64.7% had embedded mobility genes. For the homogeneity feature, 85% had an h homogeneity index less than 0.1, indicating that their G+C content is relatively uniform. Taking all the five features into account, 87.5% of 88 genomic islands had three of them. Only one genomic island had only one conserved feature and none of the genomic islands had zero features. These statistical results should help to understand the general structure of known genomic islands. We found that larger genomic islands tend to have relatively small G+C deviations relative to absolute values. For example, the absolute G+C deviations of 9 genomic islands longer than 100,000 bp were all less than 5%. This is a novel but reasonable result given that larger genomic islands should have greater restrictions in their G+C contents, in order to maintain the stable G+C content of the recipient genome.

Generating One Biometric Feature from Another: Faces from Fingerprints

Directory of Open Access Journals (Sweden)

Seref Sagiroglu

2010-04-01

Full Text Available This study presents a new approach based on artificial neural networks for generating one biometric feature (faces from another (only fingerprints. An automatic and intelligent system was designed and developed to analyze the relationships among fingerprints and faces and also to model and to improve the existence of the relationships. The new proposed system is the first study that generates all parts of the face including eyebrows, eyes, nose, mouth, ears and face border from only fingerprints. It is also unique and different from similar studies recently presented in the literature with some superior features. The parameter settings of the system were achieved with the help of Taguchi experimental design technique. The performance and accuracy of the system have been evaluated with 10-fold cross validation technique using qualitative evaluation metrics in addition to the expanded quantitative evaluation metrics. Consequently, the results were presented on the basis of the combination of these objective and subjective metrics for illustrating the qualitative properties of the proposed methods as well as a quantitative evaluation of their performances. Experimental results have shown that one biometric feature can be determined from another. These results have once more indicated that there is a strong relationship between fingerprints and faces.

Generating One Biometric Feature from Another: Faces from Fingerprints

Science.gov (United States)

Ozkaya, Necla; Sagiroglu, Seref

2010-01-01

This study presents a new approach based on artificial neural networks for generating one biometric feature (faces) from another (only fingerprints). An automatic and intelligent system was designed and developed to analyze the relationships among fingerprints and faces and also to model and to improve the existence of the relationships. The new proposed system is the first study that generates all parts of the face including eyebrows, eyes, nose, mouth, ears and face border from only fingerprints. It is also unique and different from similar studies recently presented in the literature with some superior features. The parameter settings of the system were achieved with the help of Taguchi experimental design technique. The performance and accuracy of the system have been evaluated with 10-fold cross validation technique using qualitative evaluation metrics in addition to the expanded quantitative evaluation metrics. Consequently, the results were presented on the basis of the combination of these objective and subjective metrics for illustrating the qualitative properties of the proposed methods as well as a quantitative evaluation of their performances. Experimental results have shown that one biometric feature can be determined from another. These results have once more indicated that there is a strong relationship between fingerprints and faces. PMID:22399877

Optimage central organised image quality control including statistics and reporting

International Nuclear Information System (INIS)

Jahnen, A.; Schilz, C.; Shannoun, F.; Schreiner, A.; Hermen, J.; Moll, C.

2008-01-01

Quality control of medical imaging systems is performed using dedicated phantoms. As the imaging systems are more and more digital, adequate image processing methods might help to save evaluation time and to receive objective results. The developed software package OPTIMAGE is focusing on this with a central approach: On one hand, OPTIMAGE provides a framework, which includes functions like database integration, DICOM data sources, multilingual user interface and image processing functionality. On the other hand, the test methods are implemented using modules which are able to process the images automatically for the common imaging systems. The integration of statistics and reporting into this environment is paramount: This is the only way to provide these functions in an interactive, user-friendly way. These features enable the users to discover degradation in performance quickly and document performed measurements easily. (authors)

Solar Features

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Collection includes a variety of solar feature datasets contributed by a number of national and private solar observatories located worldwide.

Pancreatic neuroendocrine tumours: correlation between MSCT features and pathological classification

Energy Technology Data Exchange (ETDEWEB)

Luo, Yanji; Dong, Zhi; Li, Zi-Ping; Feng, Shi-Ting [The First Affiliated Hospital, Sun Yat-Sen University, Department of Radiology, Guangzhou, Guangdong (China); Chen, Jie [The First Affiliated Hospital, Sun Yat-Sen University, Department of Gastroenterology, Guangzhou, Guangdong (China); Chan, Tao; Chen, Minhu [Union Hospital, Hong Kong, Medical Imaging Department, Shatin, N.T. (China); Lin, Yuan [The First Affiliated Hospital, Sun Yat-Sen University, Department of Pathology, Guangzhou, Guangdong (China)

2014-11-15

We aimed to evaluate the multi-slice computed tomography (MSCT) features of pancreatic neuroendocrine neoplasms (P-NENs) and analyse the correlation between the MSCT features and pathological classification of P-NENs. Forty-one patients, preoperatively investigated by MSCT and subsequently operated on with a histological diagnosis of P-NENs, were included. Various MSCT features of the primary tumour, lymph node, and distant metastasis were analysed. The relationship between MSCT features and pathologic classification of P-NENs was analysed with univariate and multivariate models. Contrast-enhanced images showed significant differences among the three grades of tumours in the absolute enhancement (P = 0.013) and relative enhancement (P = 0.025) at the arterial phase. Univariate analysis revealed statistically significant differences among the tumours of different grades (based on World Health Organization [WHO] 2010 classification) in tumour size (P = 0.001), tumour contour (P < 0.001), cystic necrosis (P = 0.001), tumour boundary (P = 0.003), dilatation of the main pancreatic duct (P = 0.001), peripancreatic tissue or vascular invasion (P < 0.001), lymphadenopathy (P = 0.011), and distant metastasis (P = 0.012). Multivariate analysis suggested that only peripancreatic tissue or vascular invasion (HR 3.934, 95 % CI, 0.426-7.442, P = 0.028) was significantly associated with WHO 2010 pathological classification. MSCT is helpful in evaluating the pathological classification of P-NENs. (orig.)

Helping Nevada School Children Become Sun Smart

Centers for Disease Control (CDC) Podcasts

2017-11-28

This podcast features Christine Thompson, Community Programs Manager at the Nevada Cancer Coalition, and author of a recent study detailing a school-based program to help Nevada school children establish healthy sun safety habits and decrease UV exposure. Christine answers questions about her research and what impact her what impact the program had on children’s skin health.  Created: 11/28/2017 by Preventing Chronic Disease (PCD), National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 11/28/2017.

Abdominal tuberculosis: Imaging features

Energy Technology Data Exchange (ETDEWEB)

Pereira, Jose M. [Department of Radiology, Hospital de S. Joao, Porto (Portugal)]. E-mail: jmpjesus@yahoo.com; Madureira, Antonio J. [Department of Radiology, Hospital de S. Joao, Porto (Portugal); Vieira, Alberto [Department of Radiology, Hospital de S. Joao, Porto (Portugal); Ramos, Isabel [Department of Radiology, Hospital de S. Joao, Porto (Portugal)

2005-08-01

Radiological findings of abdominal tuberculosis can mimic those of many different diseases. A high level of suspicion is required, especially in high-risk population. In this article, we will describe barium studies, ultrasound (US) and computed tomography (CT) findings of abdominal tuberculosis (TB), with emphasis in the latest. We will illustrate CT findings that can help in the diagnosis of abdominal tuberculosis and describe imaging features that differentiate it from other inflammatory and neoplastic diseases, particularly lymphoma and Crohn's disease. As tuberculosis can affect any organ in the abdomen, emphasis is placed to ileocecal involvement, lymphadenopathy, peritonitis and solid organ disease (liver, spleen and pancreas). A positive culture or hystologic analysis of biopsy is still required in many patients for definitive diagnosis. Learning objectives:1.To review the relevant pathophysiology of abdominal tuberculosis. 2.Illustrate CT findings that can help in the diagnosis.

Attitude and help-seeking for hearing impairment

NARCIS (Netherlands)

vandenBrink, RHS; Wit, HP; Kempen, GIJM; vanHeuvelen, MJG

1996-01-01

The aim of the present study was to investigate help-seeking for hearing impairment in the elderly, and to compare groups showing dissimilar help-seeking on their attitude toward hearing loss and hearing aids. Attitude factors were based on a revised version of the Health Belief Model, and included

A Reformed CDM - including new mechanisms for sustainable development

Energy Technology Data Exchange (ETDEWEB)

Holm Olsen, K; Fenhann, J

2009-07-01

The annual CD4CDM Perspectives Series features a topic of pivotal importance to the global carbon market. The series seeks to communicate the diverse insights and visions of leading actors in the carbon market to better inform the decisions of professionals and policymakers in developing countries. The second theme of the series focuses on how the CDM can be reformed in a post-2012 climate regime, including new mechanism for sustainable development. Seventeen contributors from the private sector, Designated National Authorities, the Executive Board, research, and development agencies present their perspective on meeting challenges such as the unequal regional distribution of CDM projects, concerns about environmental integrity and technology transfer, complex governance procedures, and questions about the CDM's contribution to sustainable development. The new ideas and solutions to these challenges proposed by the authors in this edition of Perspectives have been solicited to help professionals and policy makers make the best decisions in the lead-up to COP 15 in Copenhagen and beyond. (au)

A Reformed CDM - including new mechanisms for sustainable development

Energy Technology Data Exchange (ETDEWEB)

Holm Olsen, K.; Fenhann, J.

2009-07-01

The annual CD4CDM Perspectives Series features a topic of pivotal importance to the global carbon market. The series seeks to communicate the diverse insights and visions of leading actors in the carbon market to better inform the decisions of professionals and policymakers in developing countries. The second theme of the series focuses on how the CDM can be reformed in a post-2012 climate regime, including new mechanism for sustainable development. Seventeen contributors from the private sector, Designated National Authorities, the Executive Board, research, and development agencies present their perspective on meeting challenges such as the unequal regional distribution of CDM projects, concerns about environmental integrity and technology transfer, complex governance procedures, and questions about the CDM's contribution to sustainable development. The new ideas and solutions to these challenges proposed by the authors in this edition of Perspectives have been solicited to help professionals and policy makers make the best decisions in the lead-up to COP 15 in Copenhagen and beyond. (au)

WE-H-201-01: The Opportunities and Benefits of Helping LMICs: How Helping Them Can Help You

International Nuclear Information System (INIS)

Pollard, J.

2016-01-01

The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved. This session will help to explain the specific ways that Medical Physicists can uniquely assist in this grand effort to help bring radiotherapy to grossly-underserved areas. Not only can these experts fulfill an important purpose, they also can benefit professionally, academically, emotionally and socially from the endeavor. By assisting others worldwide with their skillset, Medical Physicists can end up helping themselves. Learning Objectives: Understand the need for radiotherapy in LMICs. Understand which agencies are seeking Medical Physicists for help in LMICs. Understand the potential research funding mechanisms are available to establish academic collaborations with LMIC researchers/physicians. Understand the potential social and emotional benefits for both the physicist and the LMIC partners when collaborations are made. Understand the potential for collaboration with other high-income scientists that can develop as the physicist partners with other large institutions to assist LMICs. Wil Ngwa - A recent United Nations Study reports that in developing countries more people have access to cell phones than toilets. In Africa, only 63% of the population has access to piped water, yet, 93% of Africans have cell phone service. Today, these cell phones, Skype, WhatsApp and other information and communication technologies (ICTs) connect us in unprecedented ways and are increasingly recognized as powerful, indispensable to global

WE-H-201-01: The Opportunities and Benefits of Helping LMICs: How Helping Them Can Help You

Energy Technology Data Exchange (ETDEWEB)

Pollard, J. [MD Anderson Cancer Center (United States)

2016-06-15

The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved. This session will help to explain the specific ways that Medical Physicists can uniquely assist in this grand effort to help bring radiotherapy to grossly-underserved areas. Not only can these experts fulfill an important purpose, they also can benefit professionally, academically, emotionally and socially from the endeavor. By assisting others worldwide with their skillset, Medical Physicists can end up helping themselves. Learning Objectives: Understand the need for radiotherapy in LMICs. Understand which agencies are seeking Medical Physicists for help in LMICs. Understand the potential research funding mechanisms are available to establish academic collaborations with LMIC researchers/physicians. Understand the potential social and emotional benefits for both the physicist and the LMIC partners when collaborations are made. Understand the potential for collaboration with other high-income scientists that can develop as the physicist partners with other large institutions to assist LMICs. Wil Ngwa - A recent United Nations Study reports that in developing countries more people have access to cell phones than toilets. In Africa, only 63% of the population has access to piped water, yet, 93% of Africans have cell phone service. Today, these cell phones, Skype, WhatsApp and other information and communication technologies (ICTs) connect us in unprecedented ways and are increasingly recognized as powerful, indispensable to global

A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data of Glioma

KAUST Repository

Abusamra, Heba

2013-11-01

Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification. Interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. This paper aims on a comparative study of state-of-the- art feature selection methods, classification methods, and the combination of them, based on gene expression data. We compared the efficiency of three different classification methods including: support vector machines, k-nearest neighbor and random forest, and eight different feature selection methods, including: information gain, twoing rule, sum minority, max minority, gini index, sum of variances, t-statistics, and one-dimension support vector machine. Five-fold cross validation was used to evaluate the classification performance. Two publicly available gene expression data sets of glioma were used in the experiments. Results revealed the important role of feature selection in classifying gene expression data. By performing feature selection, the classification accuracy can be significantly boosted by using a small number of genes. The relationship of features selected in different feature selection methods is investigated and the most frequent features selected in each fold among all methods for both datasets are evaluated.

A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data of Glioma

KAUST Repository

Abusamra, Heba

2013-01-01

Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification. Interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. This paper aims on a comparative study of state-of-the- art feature selection methods, classification methods, and the combination of them, based on gene expression data. We compared the efficiency of three different classification methods including: support vector machines, k-nearest neighbor and random forest, and eight different feature selection methods, including: information gain, twoing rule, sum minority, max minority, gini index, sum of variances, t-statistics, and one-dimension support vector machine. Five-fold cross validation was used to evaluate the classification performance. Two publicly available gene expression data sets of glioma were used in the experiments. Results revealed the important role of feature selection in classifying gene expression data. By performing feature selection, the classification accuracy can be significantly boosted by using a small number of genes. The relationship of features selected in different feature selection methods is investigated and the most frequent features selected in each fold among all methods for both datasets are evaluated.

Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.

Science.gov (United States)

Lee, Myungeun; Woo, Boyeong; Kuo, Michael D; Jamshidi, Neema; Kim, Jong Hyo

2017-01-01

The purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software. MR images of 45 GBM patients (29 males, 16 females) were downloaded from The Cancer Imaging Archive, in which post-contrast T1-weighted imaging and fluid-attenuated inversion recovery MR sequences were used. Two raters independently segmented the tumors using two semi-automated segmentation tools (TumorPrism3D and 3D Slicer). Regions of interest corresponding to contrast-enhancing lesion, necrotic portions, and non-enhancing T2 high signal intensity component were segmented for each tumor. A total of 180 imaging features were extracted, and their quality was evaluated in terms of stability, normalized dynamic range (NDR), and redundancy, using intra-class correlation coefficients, cluster consensus, and Rand Statistic. Our study results showed that most of the radiomic features in GBM were highly stable. Over 90% of 180 features showed good stability (intra-class correlation coefficient [ICC] ≥ 0.8), whereas only 7 features were of poor stability (ICC NDR ≥1), while above 35% of the texture features showed poor NDR (software tools provided sufficiently reliable tumor segmentation and feature stability; thus helping to overcome the inherent inter-rater and intra-rater variability of user intervention. However, certain aspects of feature quality, including NDR and redundancy, need to be assessed for determination of representative signature features before further development of radiomics.

Helping You Help Me: The Role of Diagnostic (In)congruence in the Helping Process within Organizations

OpenAIRE

Fisher, Colin M.; Pillemer, Julianna; Amabile, Teresa M.

2014-01-01

Through an inductive, multi-method field study at a major design firm, we investigated the helping process in project work and how that process affects the success of a helping episode, as perceived by help-givers and/or -receivers. We used daily diary entries and weekly interviews from four project teams, and a separate sample of critical incident interviews, to induce process models of successful and unsuccessful helping episodes. We found that, in unsuccessful episodes, help-givers and -re...

A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data

KAUST Repository

Abusamra, Heba

2013-05-01

Microarray technology has enriched the study of gene expression in such a way that scientists are now able to measure the expression levels of thousands of genes in a single experiment. Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. This thesis aims on a comparative study of state-of-the-art feature selection methods, classification methods, and the combination of them, based on gene expression data. We compared the efficiency of three different classification methods including: support vector machines, k- nearest neighbor and random forest, and eight different feature selection methods, including: information gain, twoing rule, sum minority, max minority, gini index, sum of variances, t- statistics, and one-dimension support vector machine. Five-fold cross validation was used to evaluate the classification performance. Two publicly available gene expression data sets of glioma were used for this study. Different experiments have been applied to compare the performance of the classification methods with and without performing feature selection. Results revealed the important role of feature selection in classifying gene expression data. By performing feature selection, the classification accuracy can be significantly boosted by using a small number of genes. The relationship of features selected in

Reflectance confocal microscopy features of thin versus thick melanomas.

Science.gov (United States)

Kardynal, Agnieszka; Olszewska, Małgorzata; de Carvalho, Nathalie; Walecka, Irena; Pellacani, Giovanni; Rudnicka, Lidia

2018-01-24

In vivo reflectance confocal microscopy (RCM) plays an increasingly important role in differential diagnosis of melanoma. The aim of the study was to assess typical confocal features of thin (≤1mm according to Breslow index) versus thick (>1mm) melanomas. 30 patients with histopathologically confirmed cutaneous melanoma were included in the study. Reflectance confocal microscopy was performed with Vivascope equipment prior to excision. Fifteen melanomas were thin (Breslow thickness ≤ 1mm) and 15 were thick melanomas (Breslow thickness >1mm). In the RCM examination, the following features were more frequently observed in thin compared to thick melanomas: edged papillae (26.7% vs 0%, p=0.032) and areas with honeycomb or cobblestone pattern (33.3% vs 6.7%, p=0.068). Both features are present in benign melanocytic lesions, so in melanoma are good prognostic factors. The group of thick melanomas compared to the group of thin melanomas in the RCM images presented with greater frequency of roundish cells (100% vs 40%, p=0.001), non-edged papillae (100% vs 60%, p=0.006), numerous pagetoid cells (73.3% vs 33.3%, p=0.028), numerous atypical cells at dermal-epidermal junction (53.3% vs 20%, p=0.058) and epidermal disarray (93.3% vs 66.7%, p=0.068). Non-invasive imaging methods helps in deepening of knowledge about the evolution and biology of melanoma. The most characteristic features for thin melanomas in confocal examination are: fragments of cobblestone or honeycomb pattern and edged papillae (as good prognostic factors). The features of thick melanomas in RCM examination are: roundish cells, non-edged papillae, numerous pagetoid cells at dermal-epidermal junction and epidermal disarray.

Aura: A Multi-Featured Programming Framework in Python

Directory of Open Access Journals (Sweden)

2010-09-01

Full Text Available This paper puts forward the design, programming and application of innovative educational software, ‘Aura’ made using Python and PyQt Python bindings. The research paper presents a new concept of using a single tool to relate between syntaxes of various programming languages and algorithms. It radically increases their understanding and retaining capacity, since they can correlate between many programming languages. The software is a totally unorthodox attempt towards helping students who have their first tryst with programming languages. The application is designed to help students understand how algorithms work and thus, help them in learning multiple programming languages on a single platform using an interactive graphical user interface. This paper elucidates how using Python and PyQt bindings, a comprehensive feature rich application, that implements an interactive algorithm building technique, a web browser, multiple programming language framework, a code generator and a real time code sharing hub be embedded into a single interface. And also explains, that using Python as building tool, it requires much less coding than conventional feature rich applications coded in other programming languages, and at the same time does not compromise on stability, inter-operability and robustness of the application.

The sonographic features of neonatal appendicitis: A case report.

Science.gov (United States)

Si, Shu-Yu; Guo, Yi-Yi; Mu, Jian-Feng; Yan, Chao-Ying

2017-11-01

Neonatal appendicitis is extremely rare, and preoperative diagnosis is challenging. This study aimed to investigate the utility of ultrasound for the diagnosis of neonatal appendicitis. Four cases of neonatal appendicitis were included in this case series. One was a female infant and the other 3 were male infants; they were aged from 10 to 17 days. Neonatal appendicitis. Four newborns in our hospital were diagnosed with neonatal appendicitis by abdominal ultrasound. Their sonographic features were summarized and compared with surgical and pathological findings. In these infants, abdominal ultrasound demonstrated ileocecal bowel dilatation, intestinal and bowel wall thickening, and localized encapsulated effusion in the right lower quadrant and the abscess area, which was assumed to surround the appendix. Ultrasound is helpful for the diagnosis of neonatal appendicitis.

Numbers game : using aluminum helps Global Heat Transfer develop new frac radiators

Energy Technology Data Exchange (ETDEWEB)

Marsters, S.

2009-11-15

Aluminum is thought to be a beneficial new option for the construction of frac radiators. This article discussed how aluminum has been used to help Global Heat Transfer Ltd. (GHT) develop new frac radiators. The company developed the Jumbotron, an all-aluminum frac radiator that achieved 3,000 horsepower, but with less weight than a typical 2,250 horsepower package. The article provided information on Jumbotron, including how it was conceptualized, its features, applications, and other details. Background information on GHT was also presented. GHT focuses on the oil and gas and mining sectors and has over 500 employees worldwide in 15 locations. The aluminum parts for the Jumbotron frac radiator are produced at one of GHT's China facilities and brought to Canada for final assembly. 1 fig.

MR features of physiologic and benign conditions of the ovary

Energy Technology Data Exchange (ETDEWEB)

Tamai, Ken; Saga, Tsuneo; Kido, Aki; Kataoka, Masako; Umeoka, Shigeaki; Togashi, Kaori [Kyoto University, Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto (Japan); Koyama, Takashi [Kyoto University Hospital, Department of Radiology, Kyoto (Japan); Fujii, Shingo [Kyoto University, Department of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto (Japan)

2006-12-15

In reproductive women, various physiologic conditions can cause morphologic changes of the ovary, resembling pathologic conditions. Benign ovarian diseases can also simulate malignancies. Magnetic resonance imaging (MRI) can play an important role in establishing accurate diagnosis. Functional cysts should not be confused with cystic neoplasms. Corpus luteum cysts typically have a thick wall and are occasionally hemorrhagic. Multicystic lesions that may mimic cystic neoplasms include hyperreactio luteinalis, ovarian hyperstimulation syndrome, and polycystic ovary syndrome. Recognition of clinical settings can help establish diagnosis. In endometrial cysts, MRI usually provides specific diagnosis; however, decidual change during pregnancy should not be confused with secondary neoplasm. Peritoneal inclusion cysts can be distinguished from cystic neoplasms by recognition of their characteristic configurations. Ovarian torsion and massive ovarian edema may mimic solid malignant tumors. Recognition of normal follicles and anatomic structures is useful in diagnosing these conditions. In pelvic inflammatory diseases, transfascial spread of the lesion should not be confused with invasive malignant tumors. Radiologic identification of abscess formation can be a diagnostic clue. Many benign tumors, including teratoma, Brenner tumor, and sex-cord stromal tumor, frequently show characteristic MRI features. Knowledge of MRI features of these conditions is essential in establishing accurate diagnosis and determining appropriate treatment. (orig.)

MR features of physiologic and benign conditions of the ovary

International Nuclear Information System (INIS)

Tamai, Ken; Saga, Tsuneo; Kido, Aki; Kataoka, Masako; Umeoka, Shigeaki; Togashi, Kaori; Koyama, Takashi; Fujii, Shingo

2006-01-01

In reproductive women, various physiologic conditions can cause morphologic changes of the ovary, resembling pathologic conditions. Benign ovarian diseases can also simulate malignancies. Magnetic resonance imaging (MRI) can play an important role in establishing accurate diagnosis. Functional cysts should not be confused with cystic neoplasms. Corpus luteum cysts typically have a thick wall and are occasionally hemorrhagic. Multicystic lesions that may mimic cystic neoplasms include hyperreactio luteinalis, ovarian hyperstimulation syndrome, and polycystic ovary syndrome. Recognition of clinical settings can help establish diagnosis. In endometrial cysts, MRI usually provides specific diagnosis; however, decidual change during pregnancy should not be confused with secondary neoplasm. Peritoneal inclusion cysts can be distinguished from cystic neoplasms by recognition of their characteristic configurations. Ovarian torsion and massive ovarian edema may mimic solid malignant tumors. Recognition of normal follicles and anatomic structures is useful in diagnosing these conditions. In pelvic inflammatory diseases, transfascial spread of the lesion should not be confused with invasive malignant tumors. Radiologic identification of abscess formation can be a diagnostic clue. Many benign tumors, including teratoma, Brenner tumor, and sex-cord stromal tumor, frequently show characteristic MRI features. Knowledge of MRI features of these conditions is essential in establishing accurate diagnosis and determining appropriate treatment. (orig.)

The Federal Features of the EU: Lessons from Canada

Directory of Open Access Journals (Sweden)

Amy Verdun

2016-08-01

Full Text Available There has been a rise and fall in interest in federalism in the context of European integration. This article assesses the federal nature of the EU. It draws in particular on the work of Michael Burgess who has been one of the key thinkers on this issue. Because there are many types of ‘federalisms’ available across the globe, it is helpful to make a comparison with another political system to offer a base line. In this article I explore to what extent the EU already has federal features. With the help of the work of Burgess I seek to look beyond the specific characteristics of the EU and reflect on how a comparison with this other polity can offer us insights into what is going on within the EU political system. Drawing on the comparison with Canada, I seek to identify the characteristics of the EU that are already those of a federation. Therefore, the guiding question of this article is: compared to Canada, what particular features does the EU have that reminds us of a federation and what features is it still lacking? It finds that the EU has a considerable amount of federal features (federation, but that a federal tradition, a federal ideology and advocacy to a federal goal (federalism are mostly absent.

Predicting age groups of Twitter users based on language and metadata features.

Directory of Open Access Journals (Sweden)

Antonio A Morgan-Lopez

Full Text Available Health organizations are increasingly using social media, such as Twitter, to disseminate health messages to target audiences. Determining the extent to which the target audience (e.g., age groups was reached is critical to evaluating the impact of social media education campaigns. The main objective of this study was to examine the separate and joint predictive validity of linguistic and metadata features in predicting the age of Twitter users. We created a labeled dataset of Twitter users across different age groups (youth, young adults, adults by collecting publicly available birthday announcement tweets using the Twitter Search application programming interface. We manually reviewed results and, for each age-labeled handle, collected the 200 most recent publicly available tweets and user handles' metadata. The labeled data were split into training and test datasets. We created separate models to examine the predictive validity of language features only, metadata features only, language and metadata features, and words/phrases from another age-validated dataset. We estimated accuracy, precision, recall, and F1 metrics for each model. An L1-regularized logistic regression model was conducted for each age group, and predicted probabilities between the training and test sets were compared for each age group. Cohen's d effect sizes were calculated to examine the relative importance of significant features. Models containing both Tweet language features and metadata features performed the best (74% precision, 74% recall, 74% F1 while the model containing only Twitter metadata features were least accurate (58% precision, 60% recall, and 57% F1 score. Top predictive features included use of terms such as "school" for youth and "college" for young adults. Overall, it was more challenging to predict older adults accurately. These results suggest that examining linguistic and Twitter metadata features to predict youth and young adult Twitter users may

Silence is deadly: a cluster-randomised controlled trial of a mental health help-seeking intervention for young men.

Science.gov (United States)

Calear, Alison L; Banfield, Michelle; Batterham, Philip J; Morse, Alyssa R; Forbes, Owen; Carron-Arthur, Bradley; Fisk, Martin

2017-10-23

Young men are consistently less likely to seek help for mental health problems than their female peers. This is particularly concerning given the high rates of suicide among male adolescents. The school system has been identified as an ideal setting for the implementation of prevention and early intervention programs for young people. The current trial aims to determine the effectiveness of the Silence is Deadly program in increasing positive help-seeking intentions for mental health problems and suicide among male secondary school students. This study is a two-arm, cluster-randomised, controlled trial that will compare the Silence is Deadly program to a wait-list control condition. Eight Australian high schools will be recruited to the trial, with male students in grades 11 and 12 (16 to 18 years of age) targeted for participation. The program is an innovative male-tailored suicide prevention intervention, comprising a presentation that emphasises role-modelling and legitimises help-seeking for personal and emotional problems, and a brief video that features celebrity athletes who counter existing male norms around help-seeking and encourage communication about personal and emotional issues. The program also includes a discussion of how to help a friend in distress and ends with a question and answer session. The primary outcome measure for the current study is help-seeking intentions. Secondary outcomes include help-seeking behaviour, help-seeking attitudes, help-seeking stigma, mental health symptoms, and suicidal ideation. Data will be collected pre-intervention, post-intervention, and at 3-month follow-up. Primary analyses will compare changes in help-seeking intentions for the intervention condition relative to the wait-list control condition using mixed-effects repeated-measures analyses that account for clustering within schools. If proven to be effective, this targeted help-seeking intervention for adolescent males, which is currently only delivered in

Silence is deadly: a cluster-randomised controlled trial of a mental health help-seeking intervention for young men

Directory of Open Access Journals (Sweden)

Alison L. Calear

2017-10-01

Full Text Available Abstract Background Young men are consistently less likely to seek help for mental health problems than their female peers. This is particularly concerning given the high rates of suicide among male adolescents. The school system has been identified as an ideal setting for the implementation of prevention and early intervention programs for young people. The current trial aims to determine the effectiveness of the Silence is Deadly program in increasing positive help-seeking intentions for mental health problems and suicide among male secondary school students. Methods This study is a two-arm, cluster-randomised, controlled trial that will compare the Silence is Deadly program to a wait-list control condition. Eight Australian high schools will be recruited to the trial, with male students in grades 11 and 12 (16 to 18 years of age targeted for participation. The program is an innovative male-tailored suicide prevention intervention, comprising a presentation that emphasises role-modelling and legitimises help-seeking for personal and emotional problems, and a brief video that features celebrity athletes who counter existing male norms around help-seeking and encourage communication about personal and emotional issues. The program also includes a discussion of how to help a friend in distress and ends with a question and answer session. The primary outcome measure for the current study is help-seeking intentions. Secondary outcomes include help-seeking behaviour, help-seeking attitudes, help-seeking stigma, mental health symptoms, and suicidal ideation. Data will be collected pre-intervention, post-intervention, and at 3-month follow-up. Primary analyses will compare changes in help-seeking intentions for the intervention condition relative to the wait-list control condition using mixed-effects repeated-measures analyses that account for clustering within schools. Discussion If proven to be effective, this targeted help-seeking intervention for

FCMPSO: An Imputation for Missing Data Features in Heart Disease Classification

Science.gov (United States)

Salleh, Mohd Najib Mohd; Ashikin Samat, Nurul

2017-08-01

The application of data mining and machine learning in directing clinical research into possible hidden knowledge is becoming greatly influential in medical areas. Heart Disease is a killer disease around the world, and early prevention through efficient methods can help to reduce the mortality number. Medical data may contain many uncertainties, as they are fuzzy and vague in nature. Nonetheless, imprecise features data such as no values and missing values can affect quality of classification results. Nevertheless, the other complete features are still capable to give information in certain features. Therefore, an imputation approach based on Fuzzy C-Means and Particle Swarm Optimization (FCMPSO) is developed in preprocessing stage to help fill in the missing values. Then, the complete dataset is trained in classification algorithm, Decision Tree. The experiment is trained with Heart Disease dataset and the performance is analysed using accuracy, precision, and ROC values. Results show that the performance of Decision Tree is increased after the application of FCMSPO for imputation.

Helping Families Succeed in Two Worlds.

Science.gov (United States)

Murray, Vivian

Kamehameha Schools' Prekindergarten Educational Program (PREP) was started in 1978 to prepare at-risk Hawaiian families and their children for success in school. PREP's direct services include: (1) parent-infant educational services, including home visits to help parents prepare for a new baby and later learn appropriate child development…

Ontology-aided feature correlation for multi-modal urban sensing

Science.gov (United States)

Misra, Archan; Lantra, Zaman; Jayarajah, Kasthuri

2016-05-01

The paper explores the use of correlation across features extracted from different sensing channels to help in urban situational understanding. We use real-world datasets to show how such correlation can improve the accuracy of detection of city-wide events by combining metadata analysis with image analysis of Instagram content. We demonstrate this through a case study on the Singapore Haze. We show that simple ontological relationships and reasoning can significantly help in automating such correlation-based understanding of transient urban events.

Psychogenic Tremor: A Video Guide to Its Distinguishing Features

Directory of Open Access Journals (Sweden)

Joseph Jankovic

2014-08-01

Full Text Available Background: Psychogenic tremor is the most common psychogenic movement disorder. It has characteristic clinical features that can help distinguish it from other tremor disorders. There is no diagnostic gold standard and the diagnosis is based primarily on clinical history and examination. Despite proposed diagnostic criteria, the diagnosis of psychogenic tremor can be challenging. While there are numerous studies evaluating psychogenic tremor in the literature, there are no publications that provide a video/visual guide that demonstrate the clinical characteristics of psychogenic tremor. Educating clinicians about psychogenic tremor will hopefully lead to earlier diagnosis and treatment. Methods: We selected videos from the database at the Parkinson's Disease Center and Movement Disorders Clinic at Baylor College of Medicine that illustrate classic findings supporting the diagnosis of psychogenic tremor.Results: We include 10 clinical vignettes with accompanying videos that highlight characteristic clinical signs of psychogenic tremor including distractibility, variability, entrainability, suggestibility, and coherence.Discussion: Psychogenic tremor should be considered in the differential diagnosis of patients presenting with tremor, particularly if it is of abrupt onset, intermittent, variable and not congruous with organic tremor. The diagnosis of psychogenic tremor, however, should not be simply based on exclusion of organic tremor, such as essential, parkinsonian, or cerebellar tremor, but on positive criteria demonstrating characteristic features. Early recognition and management are critical for good long-term outcome.

Large datasets: Segmentation, feature extraction, and compression

Energy Technology Data Exchange (ETDEWEB)

Downing, D.J.; Fedorov, V.; Lawkins, W.F.; Morris, M.D.; Ostrouchov, G.

1996-07-01

Large data sets with more than several mission multivariate observations (tens of megabytes or gigabytes of stored information) are difficult or impossible to analyze with traditional software. The amount of output which must be scanned quickly dilutes the ability of the investigator to confidently identify all the meaningful patterns and trends which may be present. The purpose of this project is to develop both a theoretical foundation and a collection of tools for automated feature extraction that can be easily customized to specific applications. Cluster analysis techniques are applied as a final step in the feature extraction process, which helps make data surveying simple and effective.

Multi-dimension feature fusion for action recognition

Science.gov (United States)

Dong, Pei; Li, Jie; Dong, Junyu; Qi, Lin

2018-04-01

Typical human actions last several seconds and exhibit characteristic spatio-temporal structure. The challenge for action recognition is to capture and fuse the multi-dimension information in video data. In order to take into account these characteristics simultaneously, we present a novel method that fuses multiple dimensional features, such as chromatic images, depth and optical flow fields. We built our model based on the multi-stream deep convolutional networks with the help of temporal segment networks and extract discriminative spatial and temporal features by fusing ConvNets towers multi-dimension, in which different feature weights are assigned in order to take full advantage of this multi-dimension information. Our architecture is trained and evaluated on the currently largest and most challenging benchmark NTU RGB-D dataset. The experiments demonstrate that the performance of our method outperforms the state-of-the-art methods.

Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme

Science.gov (United States)

Tan, Maxine; Pu, Jiantao; Zheng, Bin

2014-08-01

The high false-positive recall rate is one of the major dilemmas that significantly reduce the efficacy of screening mammography, which harms a large fraction of women and increases healthcare cost. This study aims to investigate the feasibility of helping reduce false-positive recalls by developing a new computer-aided diagnosis (CAD) scheme based on the analysis of global mammographic texture and density features computed from four-view images. Our database includes full-field digital mammography (FFDM) images acquired from 1052 recalled women (669 positive for cancer and 383 benign). Each case has four images: two craniocaudal (CC) and two mediolateral oblique (MLO) views. Our CAD scheme first computed global texture features related to the mammographic density distribution on the segmented breast regions of four images. Second, the computed features were given to two artificial neural network (ANN) classifiers that were separately trained and tested in a ten-fold cross-validation scheme on CC and MLO view images, respectively. Finally, two ANN classification scores were combined using a new adaptive scoring fusion method that automatically determined the optimal weights to assign to both views. CAD performance was tested using the area under a receiver operating characteristic curve (AUC). The AUC = 0.793  ±  0.026 was obtained for this four-view CAD scheme, which was significantly higher at the 5% significance level than the AUCs achieved when using only CC (p = 0.025) or MLO (p = 0.0004) view images, respectively. This study demonstrates that a quantitative assessment of global mammographic image texture and density features could provide useful and/or supplementary information to classify between malignant and benign cases among the recalled cases, which may eventually help reduce the false-positive recall rate in screening mammography.

Comparison on imaging features of central serous chorioretinopathy fundus

Directory of Open Access Journals (Sweden)

Ji-Jin Zhang

2014-10-01

Full Text Available AIM: To explore and analyze the image features, diagnosis and treatment of the central serous chorioretinopathy(CSCRfundus. METHODS: From May 2008 to May 2014, 97 cases of 121 eyes with central serous chorioretinopathy were treated in in our hospital. The imaging features were compared and analyzed through different methods. RESULTS: Sixty-one cases(61 eyeswere ≤45 years, including 13 case with disease in both eyes, single stove leak accounted for 48.6%, multifocal leakage(25.7%, atypical leakage accounted for 25.7%. Thirty-six cases(47 eyeswere >45 years, 11 cases with disease in both eyes, single focal leakage(8.5%, multifocal leakage(48.9%, atypical leakage accounted for 42.6%. FFA results showed acute hairstyle at the beginning of 89 eyes, chronic deferment type 32 eyes. OCT examination showed that the main features were neuroepithelial detachment, as well as the change of the retinal pigment epithelium(RPElayer, which was divided into RPE layer detachment 93 eyes, accounting for 76.9%, rough and RPE little ridges in 28 cases, accounting for 23.1%. The average thickness of macular center concave on the cortex of microns was 137.87±19.21μm, and there was no significant difference conpared with normal(137.32±4.98μmmicrons(t=0.30, P>0.05. The closer leakage area to macular fovea, the worse of eyesight.. CONCLUSION: Different imaging examination on central serous chorioretinopathy can show different features. For clinical diagnosis and treatment it had different and complementary roles, but were given significant help for diseases treatment.

Dependency Parsing with Transformed Feature

Directory of Open Access Journals (Sweden)

Fuxiang Wu

2017-01-01

Full Text Available Dependency parsing is an important subtask of natural language processing. In this paper, we propose an embedding feature transforming method for graph-based parsing, transform-based parsing, which directly utilizes the inner similarity of the features to extract information from all feature strings including the un-indexed strings and alleviate the feature sparse problem. The model transforms the extracted features to transformed features via applying a feature weight matrix, which consists of similarities between the feature strings. Since the matrix is usually rank-deficient because of similar feature strings, it would influence the strength of constraints. However, it is proven that the duplicate transformed features do not degrade the optimization algorithm: the margin infused relaxed algorithm. Moreover, this problem can be alleviated by reducing the number of the nearest transformed features of a feature. In addition, to further improve the parsing accuracy, a fusion parser is introduced to integrate transformed and original features. Our experiments verify that both transform-based and fusion parser improve the parsing accuracy compared to the corresponding feature-based parser.

Feature-based attentional modulation increases with stimulus separation in divided-attention tasks.

Science.gov (United States)

Sally, Sharon L; Vidnyánsky, Zoltán; Papathomas, Thomas V

2009-01-01

Attention modifies our visual experience by selecting certain aspects of a scene for further processing. It is therefore important to understand factors that govern the deployment of selective attention over the visual field. Both location and feature-specific mechanisms of attention have been identified and their modulatory effects can interact at a neural level (Treue and Martinez-Trujillo, 1999). The effects of spatial parameters on feature-based attentional modulation were examined for the feature dimensions of orientation, motion and color using three divided-attention tasks. Subjects performed concurrent discriminations of two briefly presented targets (Gabor patches) to the left and right of a central fixation point at eccentricities of +/-2.5 degrees , 5 degrees , 10 degrees and 15 degrees in the horizontal plane. Gabors were size-scaled to maintain consistent single-task performance across eccentricities. For all feature dimensions, the data show a linear increase in the attentional effects with target separation. In a control experiment, Gabors were presented on an isoeccentric viewing arc at 10 degrees and 15 degrees at the closest spatial separation (+/-2.5 degrees ) of the main experiment. Under these conditions, the effects of feature-based attentional effects were largely eliminated. Our results are consistent with the hypothesis that feature-based attention prioritizes the processing of attended features. Feature-based attentional mechanisms may have helped direct the attentional focus to the appropriate target locations at greater separations, whereas similar assistance may not have been necessary at closer target spacings. The results of the present study specify conditions under which dual-task performance benefits from sharing similar target features and may therefore help elucidate the processes by which feature-based attention operates.

Going Online: Helping Technical Communicators Help Translators.

Science.gov (United States)

Flint, Patricia; Lord van Slyke, Melanie; Starke-Meyerring, Doreen; Thompson, Aimee

1999-01-01

Explains why technical communicators should help translators. Offers tips for creating "translation-friendly" documentation. Describes the research and design process used by the authors to create an online tutorial that provides technical communicators at a medical technology company the information they need to help them write and…

Motivational Maturity and Helping Behavior

Science.gov (United States)

Haymes, Michael; Green, Logan

1977-01-01

Maturity in conative development (type of motivation included in Maslow's needs hierarchy) was found to be predictive of helping behavior in middle class white male college students. The effects of safety and esteem needs were compared, and the acceptance of responsibility was also investigated. (GDC)

Glacial Features (Point) - Quad 168 (EPPING, NH)

Data.gov (United States)

University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

Object feature extraction and recognition model

International Nuclear Information System (INIS)

Wan Min; Xiang Rujian; Wan Yongxing

2001-01-01

The characteristics of objects, especially flying objects, are analyzed, which include characteristics of spectrum, image and motion. Feature extraction is also achieved. To improve the speed of object recognition, a feature database is used to simplify the data in the source database. The feature vs. object relationship maps are stored in the feature database. An object recognition model based on the feature database is presented, and the way to achieve object recognition is also explained

Visual features for perception, attention, and working memory: Toward a three-factor framework.

Science.gov (United States)

Huang, Liqiang

2015-12-01

Visual features are the general building blocks for attention, perception, and working memory. Here, I explore the factors which can quantitatively predict all the differences they make in various paradigms. I tried to combine the strengths of experimental and correlational approaches in a novel way by developing an individual-item differences analysis to extract the factors from 16 stimulus types on the basis of their roles in eight tasks. A large sample size (410) ensured that all eight tasks had a reliability (Cronbach's α) of no less than 0.975, allowing the factors to be precisely determined. Three orthogonal factors were identified which correspond respectively to featural strength (i.e., how close a stimulus is to a basic feature), visual strength (i.e., visual quality of the stimulus), and spatial strength (i.e., how well a stimulus can be represented as a spatial structure). Featural strength helped substantially in all the tasks but moderately less so in perceptual discrimination; visual strength helped substantially in low-level tasks but not in high-level tasks; and spatial strength helped change detection but hindered ensemble matching and visual search. Jointly, these three factors explained 96.4% of all the variances of the eight tasks, making it clear that they account for almost everything about the roles of these 16 stimulus types in these eight tasks. Copyright © 2015 Elsevier B.V. All rights reserved.

Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features

Directory of Open Access Journals (Sweden)

Linyi Li

2017-01-01

Full Text Available In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to classify remote sensing scenes. In this study, a novel visual attention feature extraction algorithm was proposed, which extracted visual attention features through a multiscale process. And a fuzzy classification method using visual attention features (FC-VAF was developed to perform high resolution remote sensing scene classification. FC-VAF was evaluated by using remote sensing scenes from widely used high resolution remote sensing images, including IKONOS, QuickBird, and ZY-3 images. FC-VAF achieved more accurate classification results than the others according to the quantitative accuracy evaluation indices. We also discussed the role and impacts of different decomposition levels and different wavelets on the classification accuracy. FC-VAF improves the accuracy of high resolution scene classification and therefore advances the research of digital image analysis and the applications of high resolution remote sensing images.

Candid camera : video surveillance system can help protect assets

Energy Technology Data Exchange (ETDEWEB)

Harrison, L.

2009-11-15

By combining closed-circuit cameras with sophisticated video analytics to create video sensors for use in remote areas, Calgary-based IntelliView Technologies Inc.'s explosion-proof video surveillance system can help the oil and gas sector monitor its assets. This article discussed the benefits, features, and applications of IntelliView's technology. Some of the benefits include a reduced need for on-site security and operating personnel and its patented analytics product known as the SmrtDVR, where the camera's images are stored. The technology can be used in temperatures as cold as minus 50 degrees Celsius and as high as 50 degrees Celsius. The product was commercialized in 2006 when it was used by Nexen Inc. It was concluded that false alarms set off by natural occurrences such as rain, snow, glare and shadows were a huge problem with analytics in the past, but that problem has been solved by IntelliView, which has its own source code, and re-programmed code. 1 fig.

Primary B-cell Lymphoma of the Thyroid Featuring the Different Ultrasonographic Findings

Energy Technology Data Exchange (ETDEWEB)

Kim, Ji Na; Choi, Yoon Jung; Kim, Dong Hoon [Kangbuk Samsung Medical Center, Seoul (Korea, Republic of)

2009-06-15

We review here 3 cases of primary thyroid lymphoma that we experienced during the past 5 years (age range: 39-55, all of the patients were female). The clinical and various ultrasonographic characteristics together with the other imaging modalities of primary thyroid lymphomas are described. The clinical features at presentation for one patient were a goiter with rapid growth and this was accompanied by compressive symptoms. The tumors of the other 2 patients were incidentally found during screening thyroid ultrasound exams. The pathologic studies of 2 cases showed a diffuse B-cell lymphoma with associated Hashimoto's thyroiditis and one case was a B-cell lymphoma of the MALT type. An extra-thyroid extension was shown in one case. The treatments included surgery alone for two cases, and chemotherapy and radiation therapy for one case. A US exam of thyroid lymphoma can show various morphological features, and US-CNB is helpful for diagnosing thyroid lymphoma.

Feature displacement interpolation

DEFF Research Database (Denmark)

Nielsen, Mads; Andresen, Per Rønsholt

1998-01-01

Given a sparse set of feature matches, we want to compute an interpolated dense displacement map. The application may be stereo disparity computation, flow computation, or non-rigid medical registration. Also estimation of missing image data, may be phrased in this framework. Since the features...... often are very sparse, the interpolation model becomes crucial. We show that a maximum likelihood estimation based on the covariance properties (Kriging) show properties more expedient than methods such as Gaussian interpolation or Tikhonov regularizations, also including scale......-selection. The computational complexities are identical. We apply the maximum likelihood interpolation to growth analysis of the mandibular bone. Here, the features used are the crest-lines of the object surface....

Quality of radiomic features in glioblastoma multiforme: Impact of semi-automated tumor segmentation software

International Nuclear Information System (INIS)

Lee, Myung Eun; Kim, Jong Hyo; Woo, Bo Yeong; Ko, Micheal D.; Jamshidi, Neema

2017-01-01

The purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software. MR images of 45 GBM patients (29 males, 16 females) were downloaded from The Cancer Imaging Archive, in which post-contrast T1-weighted imaging and fluid-attenuated inversion recovery MR sequences were used. Two raters independently segmented the tumors using two semi-automated segmentation tools (TumorPrism3D and 3D Slicer). Regions of interest corresponding to contrast-enhancing lesion, necrotic portions, and non-enhancing T2 high signal intensity component were segmented for each tumor. A total of 180 imaging features were extracted, and their quality was evaluated in terms of stability, normalized dynamic range (NDR), and redundancy, using intra-class correlation coefficients, cluster consensus, and Rand Statistic. Our study results showed that most of the radiomic features in GBM were highly stable. Over 90% of 180 features showed good stability (intra-class correlation coefficient [ICC] ≥ 0.8), whereas only 7 features were of poor stability (ICC NDR ≥1), while above 35% of the texture features showed poor NDR (< 1). Features were shown to cluster into only 5 groups, indicating that they were highly redundant. The use of semi-automated software tools provided sufficiently reliable tumor segmentation and feature stability; thus helping to overcome the inherent inter-rater and intra-rater variability of user intervention. However, certain aspects of feature quality, including NDR and redundancy, need to be assessed for determination of representative signature features before further development of radiomics

An effective method for cirrhosis recognition based on multi-feature fusion

Science.gov (United States)

Chen, Yameng; Sun, Gengxin; Lei, Yiming; Zhang, Jinpeng

2018-04-01

Liver disease is one of the main causes of human healthy problem. Cirrhosis, of course, is the critical phase during the development of liver lesion, especially the hepatoma. Many clinical cases are still influenced by the subjectivity of physicians in some degree, and some objective factors such as illumination, scale, edge blurring will affect the judgment of clinicians. Then the subjectivity will affect the accuracy of diagnosis and the treatment of patients. In order to solve the difficulty above and improve the recognition rate of liver cirrhosis, we propose a method of multi-feature fusion to obtain more robust representations of texture in ultrasound liver images, the texture features we extract include local binary pattern(LBP), gray level co-occurrence matrix(GLCM) and histogram of oriented gradient(HOG). In this paper, we firstly make a fusion of multi-feature to recognize cirrhosis and normal liver based on parallel combination concept, and the experimental results shows that the classifier is effective for cirrhosis recognition which is evaluated by the satisfying classification rate, sensitivity and specificity of receiver operating characteristic(ROC), and cost time. Through the method we proposed, it will be helpful to improve the accuracy of diagnosis of cirrhosis and prevent the development of liver lesion towards hepatoma.

Help-Seeking and Help-Giving for Teen Dating Violence

Science.gov (United States)

Weisz, Arlene N.; Black, Beverly M.

2009-01-01

This article is based on numerous research projects conducted by the authors on adolescent dating violence. It reviews the results of those projects as they relate to how teens seek help for dating violence and how teens provide help to their friends in violent dating relationships. It concludes with helpful strategies for adults who work with…

Perinatal clinical and imaging features of CLOVES syndrome

Energy Technology Data Exchange (ETDEWEB)

Fernandez-Pineda, Israel [Virgen del Rocio Children' s Hospital, Department of Pediatric Surgery, Seville (Spain); Fajardo, Manuel [Virgen del Rocio Children' s Hospital, Department of Pediatric Radiology, Seville (Spain); Chaudry, Gulraiz; Alomari, Ahmad I. [Children' s Hospital Boston and Harvard Medical School, Division of Vascular and Interventional Radiology, Boston, MA (United States)

2010-08-15

We report a neonate with antenatal imaging features suggestive of CLOVES syndrome. Postnatal clinical and imaging findings confirmed the diagnosis, with the constellation of truncal overgrowth, cutaneous capillary malformation, lymphatic and musculoskeletal anomalies. The clinical, radiological and histopathological findings noted in this particular phenotype help differentiate it from other overgrowth syndromes with complex vascular anomalies. (orig.)

Feature Importance for Human Epithelial (HEp-2 Cell Image Classification

Directory of Open Access Journals (Sweden)

Vibha Gupta

2018-02-01

Full Text Available Indirect Immuno-Fluorescence (IIF microscopy imaging of human epithelial (HEp-2 cells is a popular method for diagnosing autoimmune diseases. Considering large data volumes, computer-aided diagnosis (CAD systems, based on image-based classification, can help in terms of time, effort, and reliability of diagnosis. Such approaches are based on extracting some representative features from the images. This work explores the selection of the most distinctive features for HEp-2 cell images using various feature selection (FS methods. Considering that there is no single universally optimal feature selection technique, we also propose hybridization of one class of FS methods (filter methods. Furthermore, the notion of variable importance for ranking features, provided by another type of approaches (embedded methods such as Random forest, Random uniform forest is exploited to select a good subset of features from a large set, such that addition of new features does not increase classification accuracy. In this work, we have also, with great consideration, designed class-specific features to capture morphological visual traits of the cell patterns. We perform various experiments and discussions to demonstrate the effectiveness of FS methods along with proposed and a standard feature set. We achieve state-of-the-art performance even with small number of features, obtained after the feature selection.

Diabetes Awareness of Low-Income Middle School Students Participating in the Help a Friend, Help Yourself Youth Diabetes Awareness Education Program

Science.gov (United States)

Wroten, Kathryn; Reames, Elizabeth S.; Tuuri, Georgianna

2012-01-01

The study reported here investigated the effectiveness of the LSU AgCenter Help a Friend, Help Yourself youth diabetes education curriculum to increase knowledge and awareness of diabetes and its symptoms in low-income middle school students participating in the Boys and Girls Club after-school program. The curriculum includes four lessons with…

Enhancing the Early Reading Skills: Examining the Print Features of Preschool Children's Book

Science.gov (United States)

Cetin, Ozlem Simsek; Bay, Neslihan

2015-01-01

The purpose of this study is to examine the uses of print features in preschool children's books in the US and Turkey, in order to helping adults to understand print features and supporting children's print awareness. In this context, two hundred children's books was randomly selected from the US and Turkey. Document analysis was used for…

Quality of radiomic features in glioblastoma multiforme: Impact of semi-automated tumor segmentation software

Energy Technology Data Exchange (ETDEWEB)

Lee, Myung Eun; Kim, Jong Hyo [Center for Medical-IT Convergence Technology Research, Advanced Institutes of Convergence Technology, Seoul National University, Suwon (Korea, Republic of); Woo, Bo Yeong [Dept. of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon (Korea, Republic of); Ko, Micheal D.; Jamshidi, Neema [Dept. of Radiological Sciences, University of California, Los Angeles, Los Angeles (United States)

2017-06-15

The purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software. MR images of 45 GBM patients (29 males, 16 females) were downloaded from The Cancer Imaging Archive, in which post-contrast T1-weighted imaging and fluid-attenuated inversion recovery MR sequences were used. Two raters independently segmented the tumors using two semi-automated segmentation tools (TumorPrism3D and 3D Slicer). Regions of interest corresponding to contrast-enhancing lesion, necrotic portions, and non-enhancing T2 high signal intensity component were segmented for each tumor. A total of 180 imaging features were extracted, and their quality was evaluated in terms of stability, normalized dynamic range (NDR), and redundancy, using intra-class correlation coefficients, cluster consensus, and Rand Statistic. Our study results showed that most of the radiomic features in GBM were highly stable. Over 90% of 180 features showed good stability (intra-class correlation coefficient [ICC] ≥ 0.8), whereas only 7 features were of poor stability (ICC < 0.5). Most first order statistics and morphometric features showed moderate-to-high NDR (4 > NDR ≥1), while above 35% of the texture features showed poor NDR (< 1). Features were shown to cluster into only 5 groups, indicating that they were highly redundant. The use of semi-automated software tools provided sufficiently reliable tumor segmentation and feature stability; thus helping to overcome the inherent inter-rater and intra-rater variability of user intervention. However, certain aspects of feature quality, including NDR and redundancy, need to be assessed for determination of representative signature features before further development of radiomics.

Understanding Legacy Features with Featureous

DEFF Research Database (Denmark)

Olszak, Andrzej; Jørgensen, Bo Nørregaard

2011-01-01

Java programs called Featureous that addresses this issue. Featureous allows a programmer to easily establish feature-code traceability links and to analyze their characteristics using a number of visualizations. Featureous is an extension to the NetBeans IDE, and can itself be extended by third...

Haptic exploration of fingertip-sized geometric features using a multimodal tactile sensor

Science.gov (United States)

Ponce Wong, Ruben D.; Hellman, Randall B.; Santos, Veronica J.

2014-06-01

Haptic perception remains a grand challenge for artificial hands. Dexterous manipulators could be enhanced by "haptic intelligence" that enables identification of objects and their features via touch alone. Haptic perception of local shape would be useful when vision is obstructed or when proprioceptive feedback is inadequate, as observed in this study. In this work, a robot hand outfitted with a deformable, bladder-type, multimodal tactile sensor was used to replay four human-inspired haptic "exploratory procedures" on fingertip-sized geometric features. The geometric features varied by type (bump, pit), curvature (planar, conical, spherical), and footprint dimension (1.25 - 20 mm). Tactile signals generated by active fingertip motions were used to extract key parameters for use as inputs to supervised learning models. A support vector classifier estimated order of curvature while support vector regression models estimated footprint dimension once curvature had been estimated. A distal-proximal stroke (along the long axis of the finger) enabled estimation of order of curvature with an accuracy of 97%. Best-performing, curvature-specific, support vector regression models yielded R2 values of at least 0.95. While a radial-ulnar stroke (along the short axis of the finger) was most helpful for estimating feature type and size for planar features, a rolling motion was most helpful for conical and spherical features. The ability to haptically perceive local shape could be used to advance robot autonomy and provide haptic feedback to human teleoperators of devices ranging from bomb defusal robots to neuroprostheses.

MRI features of tuberculosis of the knee

Energy Technology Data Exchange (ETDEWEB)

Sanghvi, Darshana A.; Iyer, Veena R.; Deshmukh, Tejaswini; Hoskote, Sumedh S. [Seth GS Medical College and KEM Hospital, Department of Radiology, Mumbai (India)

2009-03-15

The objective of this study was to describe the magnetic resonance imaging (MRI) features of tuberculosis (TB) of the knee joint. The MRI features in 15 patients with TB of the knee, as confirmed by histology of the biopsied joint synovium, were reviewed retrospectively. The images were assessed for intra-articular and peri-articular abnormalities. All patients had florid synovial proliferation. The proliferating synovium showed intermediate to low T2 signal intensity. In the patients who were administered intravenous contrast, the hypertrophic synovium was intensely enhancing. Marrow edema (n = 9), osteomyelitis (n = 4), cortical erosions (n = 5), myositis (n = 6), cellulitis (n = 2), abscesses (n = 3), and skin ulceration/sinus formation (n = 2) were seen in the adjacent bone and soft tissue. Synovial proliferation associated with tuberculous arthritis is typically hypointense on T2-weighted images. This appearance, in conjunction with other peri-articular MRI features described, can help in distinguishing TB arthritis from other proliferating synovial arthropathies. (orig.)

Helpful Entry Level Skills Checklist--Revised Manual [and] Helpful Entry Level Skill Checklist--Revised Edition.

Science.gov (United States)

Child Development Centers of the Bluegrass, Lexington, KY.

The Helpful Entry Level Skills Checklist was designed to assist preschool teachers in selecting functional skills that children (including children with disabilities) may need to make a successful transition into the public schools. These skills, for the most part, deal with attending, compliance, ability to follow directions, turn taking, ability…

Malignant vascular lesions of bone: radiologic and pathologic features

Energy Technology Data Exchange (ETDEWEB)

Wenger, D.E. [Dept. of Diagnostic Radiology, Mayo Foundation, Rochester, MN (United States); Wold, L.E. [Dept. of Laboratory Medicine and Pathology, Mayo Foundation, Rochester, MN (United States)

2000-11-01

The malignant vascular tumors of bone represent an uncommon diverse group of tumors with widely variable clinical and radiographic presentations. Although the radiographic imaging features of the lytic osseous lesions typically seen with this group of tumors are relatively nonspecific, the propensity to develop multifocal disease in an anatomic region is a feature that can be helpful in suggesting the diagnosis of a vascular tumor. The differential diagnosis varies according to the age of the patient and presence of solitary or multifocal disease. The histologic features are variable and range from tumors with vasoformative features to those that mimic mesenchymal neoplasm or metastatic carcinoma. Familiarity with the radiographic and pathologic spectrum of disease is essential for making an accurate diagnosis in this diverse group of neoplasms. This paper will provide a review of the nomenclature for the malignant vascular tumors of bone and discuss the radiographic and pathologic differential diagnosis. (orig.)

Prostate Cancer Research Trial Helps John Spencer Treat His Cancer | NIH MedlinePlus the Magazine

Science.gov (United States)

... of this page please turn Javascript on. Feature: Prostate Cancer Prostate Cancer Research Trial Helps John Spencer Treat His Cancer ... because of timely detection and treatment of his prostate cancer. He participated in an NIH-sponsored clinical trial. ...

Saskatchewan resources. [including uranium

Energy Technology Data Exchange (ETDEWEB)

1979-09-01

The production of chemicals and minerals for the chemical industry in Saskatchewan are featured, with some discussion of resource taxation. The commodities mentioned include potash, fatty amines, uranium, heavy oil, sodium sulfate, chlorine, sodium hydroxide, sodium chlorate and bentonite. Following the successful outcome of the Cluff Lake inquiry, the uranium industry is booming. Some developments and production figures for Gulf Minerals, Amok, Cenex and Eldorado are mentioned.

Promoting Mental Health Help-Seeking Behavior Among First-Year College Students.

Science.gov (United States)

Pace, Kristin; Silk, Kami; Nazione, Samantha; Fournier, Laura; Collins-Eaglin, Jan

2018-02-01

Awareness and utilization of mental health services on college campuses is a salient issue, particularly for first-year students as they transition into college life. The current study uses focus groups and surveys to test help-seeking messages for first-year students. In this formative research, Phase 1 focus-group participants (N = 47) discussed four message concepts related to awareness of symptoms of mental health problems and services available to students. Phase 2 participants (N = 292) viewed one of three message concepts and then completed items that measured their perceptions of the message. Focus-group results helped prioritize likely effectiveness of messages based on responses to message features and provided an understanding of mental health help-seeking perceptions among college students. The quantitative results indicate the messages have potential for increasing awareness of mental health issues, as well as promoting availability of campus resources. Implications for tailoring campaign messages to first-year students are discussed.

Anticipated Guilt for not Helping and Anticipated Warm Glow for Helping are Differently Impacted by Personal Responsibility to Help

Directory of Open Access Journals (Sweden)

Arvid Erlandsson

2016-09-01

Full Text Available One important motivation for people behaving prosocially is that they want to avoid negative and obtain positive emotions. In the prosocial behavior literature however, the motivations to avoid negative emotions (e.g. guilt and to approach positive emotions (e.g. warm glow are rarely separated, and sometimes even aggregated into a single mood-management construct. The aim of this study was to investigate whether anticipated guilt if not helping and anticipated warm glow if helping are influenced similarly or differently when varying situational factors related to personal responsibility to help. Helping scenarios were created and pilot tests established that each helping scenario could be formulated both in a high-responsibility version and in a low-responsibility version. In Study 1 participants read high-responsibility and low-responsibility helping scenarios, and rated either their anticipated guilt if not helping or their anticipated warm glow if helping (i.e. separate evaluation. Study 2 was similar but here participants rated both their anticipated guilt if not helping and their anticipated warm glow if helping (i.e. joint evaluation. Anticipated guilt was clearly higher in the high-responsibility versions, but anticipated warm glow was unaffected (in Studies 1a and 1b, or even higher in the low-responsibility versions (Study 2. In Studies 3 (where anticipated guilt and warm glow were evaluated separately and 4 (where they were evaluated jointly, personal responsibility to help was manipulated within-subjects. Anticipated guilt was again constantly higher in the high-responsibility versions but for many types of responsibility-manipulations, anticipated warm glow was higher in the low-responsibility versions. The results suggest that we anticipate guilt if not fulfilling our responsibility but that we anticipate warm glow primarily when doing over and beyond our responsibility. We argue that future studies investigating motivations for

Anticipated Guilt for Not Helping and Anticipated Warm Glow for Helping Are Differently Impacted by Personal Responsibility to Help

Science.gov (United States)

Erlandsson, Arvid; Jungstrand, Amanda Å.; Västfjäll, Daniel

2016-01-01

One important motivation for people behaving prosocially is that they want to avoid negative and obtain positive emotions. In the prosocial behavior literature however, the motivations to avoid negative emotions (e.g., guilt) and to approach positive emotions (e.g., warm glow) are rarely separated, and sometimes even aggregated into a single mood-management construct. The aim of this study was to investigate whether anticipated guilt if not helping and anticipated warm glow if helping are influenced similarly or differently when varying situational factors related to personal responsibility to help. Helping scenarios were created and pilot tests established that each helping scenario could be formulated both in a high-responsibility version and in a low-responsibility version. In Study 1 participants read high-responsibility and low-responsibility helping scenarios, and rated either their anticipated guilt if not helping or their anticipated warm glow if helping (i.e., separate evaluation). Study 2 was similar but here participants rated both their anticipated guilt if not helping and their anticipated warm glow if helping (i.e., joint evaluation). Anticipated guilt was clearly higher in the high-responsibility versions, but anticipated warm glow was unaffected (in Studies 1a and 1b), or even higher in the low-responsibility versions (Study 2). In Studies 3 (where anticipated guilt and warm glow were evaluated separately) and 4 (where they were evaluated jointly), personal responsibility to help was manipulated within-subjects. Anticipated guilt was again constantly higher in the high-responsibility versions but for many types of responsibility-manipulations, anticipated warm glow was higher in the low-responsibility versions. The results suggest that we anticipate guilt if not fulfilling our responsibility but that we anticipate warm glow primarily when doing over and beyond our responsibility. We argue that future studies investigating motivations for helping

Perceptions of Help Given to Healthy Older Mothers by Adult Daughters: Ways of Initiating Help and Types of Help Given

Science.gov (United States)

Martini, Tanya S.; Grusec, Joan E.; Bernardini, Silvia Cortese

2003-01-01

Older mother-adult daughter dyads (N = 43) addressed two issues pertaining to the ways in which help is initiated (offered, requested, and imposed help) and type of help given (instrumental help, advice, and emotional support) a) mothers' reasoning about these aspects of help, and b) daughters' understanding of mothers' feelings. Both groups noted…

HELP OPTIONS AND MULTIMEDIA LISTENING: STUDENTS’ USE OF SUBTITLES AND THE TRANSCRIPT

Directory of Open Access Journals (Sweden)

Maja Grgurović

2007-02-01

Full Text Available As multimedia language learning materials become prevalent in foreign and second language classrooms, their design is an important avenue of research in Computer-Assisted Language Learning (CALL. Some argue that the design of the pedagogical materials should be informed by theory such as the interactionist SLA theory, which suggests that input modification can help comprehension, but does not provide specific guidance regarding choices designers should make when they attempt to implement theory-based features like modified input. This empirical study was designed to provide evidence about one such issue: whether subtitles or transcripts are more effective in providing modified input to learners. A multimedia listening activity containing a video of an academic lecture was designed to offer help in the form of target language subtitles (captions and lecture transcripts in cases of comprehension breakdowns. Eighteen intermediate ESL students enrolled in an academic listening class at a research university participated in the study. Two tests and questionnaires in addition to screen recordings were used to analyze students' performance on the activity and their use of help. The results indicate that participants interacted with the subtitles more frequently and for longer periods of time than with the transcript. Also, the study identified four patterns of learner interaction with the help options. Since, overall, the participants interacted with help less than half of the time they opened help pages, an important challenge in investigating help options lies in finding ways to promote the use of help.

Helping While Learning: A Skilled Group Helper Training Program.

Science.gov (United States)

Smaby, Marlowe H.; Tamminen, Armas W.

1983-01-01

Describes a developmental group training workshop for training experienced counselors to do group counseling. Discusses stages of training including exploration, understanding, and action, which can help counselors learn helping skills for counseling that can often transfer to their own interpersonal lives and interactions with others. (JAC)

Feature selection for splice site prediction: A new method using EDA-based feature ranking

Directory of Open Access Journals (Sweden)

Rouzé Pierre

2004-05-01

Full Text Available Abstract Background The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Other advantages of feature selection include the ability of the classification system to attain good or even better solutions using a restricted subset of features, and a faster classification. Thus, robust methods for fast feature selection are of key importance in extracting knowledge from complex biological data. Results In this paper we present a novel method for feature subset selection applied to splice site prediction, based on estimation of distribution algorithms, a more general framework of genetic algorithms. From the estimated distribution of the algorithm, a feature ranking is derived. Afterwards this ranking is used to iteratively discard features. We apply this technique to the problem of splice site prediction, and show how it can be used to gain insight into the underlying biological process of splicing. Conclusion We show that this technique proves to be more robust than the traditional use of estimation of distribution algorithms for feature selection: instead of returning a single best subset of features (as they normally do this method provides a dynamical view of the feature selection process, like the traditional sequential wrapper methods. However, the method is faster than the traditional techniques, and scales better to datasets described by a large number of features.

Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

Directory of Open Access Journals (Sweden)

Jin-Jia Wang

2015-01-01

Full Text Available Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs. Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

Cytomorphological features of ALK-positive lung adenocarcinomas: psammoma bodies and signet ring cells.

Science.gov (United States)

Pareja, Fresia; Crapanzano, John P; Mansukhani, Mahesh M; Bulman, William A; Saqi, Anjali

2015-03-01

Correlation between histology and genotype has been described in lung adenocarcinomas. For example, studies have demonstrated that adenocarcinomas with an anaplastic lymphoma kinase (ALK) gene rearrangement may have mucinous features. The objective of the current study was to determine whether a similar association can be identified in cytological specimens. A retrospective search for ALK-rearranged cytopathology (CP) and surgical pathology (SP) lung carcinomas was conducted. Additional ALK-negative (-) lung adenocarcinomas served as controls. For CP and SP cases, the clinical data (i.e., age, sex, and smoking history), architecture, nuclear features, presence of mucin-containing cells (including signet ring cells), and any additional salient characteristics were evaluated. The search yielded 20 ALK-positive (+) adenocarcinomas. Compared with patients with ALK(-) lung adenocarcinomas (33 patients; 12 with epidermal growth factor receptor [EGFR]-mutation, 11 with Kristen rat sarcoma [KRAS]-mutation, and 10 wild-type adenocarcinomas), patients with ALK(+) adenocarcinoma presented at a younger age; and there was no correlation noted with sex or smoking status. The most common histological pattern in SP was papillary/micropapillary. Mucinous features were associated with ALK rearrangement in SP specimens. Signet ring cells and psammoma bodies were evident in and significantly associated with ALK(+) SP and CP specimens. However, psammoma bodies were observed in rare adenocarcinomas with an EGFR mutation. Both the ALK(+) and ALK(-) groups had mostly high nuclear grade. Salient features, including signet ring cells and psammoma bodies, were found to be significantly associated with ALK(+) lung adenocarcinomas and are identifiable on CP specimens. Recognizing these may be especially helpful in the molecular triage of scant CP samples. © 2014 American Cancer Society.

Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal.

Science.gov (United States)

Hosseinifard, Behshad; Moradi, Mohammad Hassan; Rostami, Reza

2013-03-01

Diagnosing depression in the early curable stages is very important and may even save the life of a patient. In this paper, we study nonlinear analysis of EEG signal for discriminating depression patients and normal controls. Forty-five unmedicated depressed patients and 45 normal subjects were participated in this study. Power of four EEG bands and four nonlinear features including detrended fluctuation analysis (DFA), higuchi fractal, correlation dimension and lyapunov exponent were extracted from EEG signal. For discriminating the two groups, k-nearest neighbor, linear discriminant analysis and logistic regression as the classifiers are then used. Highest classification accuracy of 83.3% is obtained by correlation dimension and LR classifier among other nonlinear features. For further improvement, all nonlinear features are combined and applied to classifiers. A classification accuracy of 90% is achieved by all nonlinear features and LR classifier. In all experiments, genetic algorithm is employed to select the most important features. The proposed technique is compared and contrasted with the other reported methods and it is demonstrated that by combining nonlinear features, the performance is enhanced. This study shows that nonlinear analysis of EEG can be a useful method for discriminating depressed patients and normal subjects. It is suggested that this analysis may be a complementary tool to help psychiatrists for diagnosing depressed patients. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Focal hepatic lesions with peripheral eosinophilia: imaging features of various disease

Energy Technology Data Exchange (ETDEWEB)

Seo, Joon Beom; Han, Joon Koo; Kim, Tae Kyoung; Choi, Byung Ihn; Han, Man Chung [Seoul National Univ. College of Medicine, Seoul (Korea, Republic of); Song, Chi Sung [Seoul City Boramae Hospital, Seoul (Korea, Republic of)

1999-01-01

Due to the recent advent of various imaging modalities such as ultrasonography, computed tomography and magnetic resonance imaging, as well as knowledge of the characteristic imaging features of hepatic lesions, radiologic examination plays a major role in the differential diagnosis of focal hepatic lesions. However, various 'nonspecific' or 'unusual' imaging features of focal hepatic lesions are occasionally encountered, and this makes correct diagnosis difficult. In such a situation, the presence of peripheral eosinophilia helps narrow the differential diagnoses. The aim of this pictorial essay is to describe the imaging features of various disease entities which cause focal hepatic lesions and peripheral eosinophilia.

Currency features for visually impaired people

Science.gov (United States)

Hyland, Sandra L.; Legge, Gordon E.; Shannon, Robert R.; Baer, Norbert S.

1996-03-01

The estimated 3.7 million Americans with low vision experience a uniquely difficult task in identifying the denominations of U.S. banknotes because the notes are remarkably uniform in size, color, and general design. The National Research Council's Committee on Currency Features Usable by the Visually Impaired assessed features that could be used by people who are visually disabled to distinguish currency from other documents and to denominate and authenticate banknotes using available technology. Variation of length and height, introduction of large numerals on a uniform, high-contrast background, use of different colors for each of the six denominations printed, and the introduction of overt denomination codes that could lead to development of effective, low-cost devices for examining banknotes were all deemed features available now. Issues affecting performance, including the science of visual and tactile perception, were addressed for these features, as well as for those features requiring additional research and development. In this group the committee included durable tactile features such as those printed with transparent ink, and the production of currency with holes to indicate denomination. Among long-range approaches considered were the development of technologically advanced devices and smart money.

MCNP4A: Features and philosophy

International Nuclear Information System (INIS)

Hendricks, J.S.

1993-01-01

This paper describes MCNP, states its philosophy, introduces a number of new features becoming available with version MCNP4A, and answers a number of questions asked by participants in the workshop. MCNP is a general-purpose three-dimensional neutron, photon and electron transport code. Its philosophy is ''Quality, Value and New Features.'' Quality is exemplified by new software quality assurance practices and a program of benchmarking against experiments. Value includes a strong emphasis on documentation and code portability. New features are the third priority. MCNP4A is now available at Los Alamos. New features in MCNP4A include enhanced statistical analysis, distributed processor multitasking, new photon libraries, ENDF/B-VI capabilities, X-Windows graphics, dynamic memory allocation, expanded criticality output, periodic boundaries, plotting of particle tracks via SABRINA, and many other improvements. 23 refs

Principle of Care and Giving to Help People in Need.

Science.gov (United States)

Bekkers, René; Ottoni-Wilhelm, Mark

2016-01-01

Theories of moral development posit that an internalized moral value that one should help those in need-the principle of care-evokes helping behaviour in situations where empathic concern does not. Examples of such situations are helping behaviours that involve cognitive deliberation and planning, that benefit others who are known only in the abstract, and who are out-group members. Charitable giving to help people in need is an important helping behaviour that has these characteristics. Therefore we hypothesized that the principle of care would be positively associated with charitable giving to help people in need, and that the principle of care would mediate the empathic concern-giving relationship. The two hypotheses were tested across four studies. The studies used four different samples, including three nationally representative samples from the American and Dutch populations, and included both self-reports of giving (Studies 1-3), giving observed in a survey experiment (Study 3), and giving observed in a laboratory experiment (Study 4). The evidence from these studies indicated that a moral principle to care for others was associated with charitable giving to help people in need and mediated the empathic concern-giving relationship. © 2016 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology.

Flexible feature interface for multimedia sources

Science.gov (United States)

Coffland, Douglas R [Livermore, CA

2009-06-09

A flexible feature interface for multimedia sources system that includes a single interface for the addition of features and functions to multimedia sources and for accessing those features and functions from remote hosts. The interface utilizes the export statement: export "C" D11Export void FunctionName(int argc, char ** argv,char * result, SecureSession *ctrl) or the binary equivalent of the export statement.

Help with Hives

Science.gov (United States)

... Staying Safe Videos for Educators Search English Español Help With Hives KidsHealth / For Kids / Help With Hives What's in this article? What Are ... about what happened. The doctor can try to help figure out what might be causing your hives, ...

K-Based Help desk System

International Nuclear Information System (INIS)

Mohamad Safuan Sulaiman; Abdul Muin Abdul Rahman; Norzalina Nasirudin; Khairiel Adyani Abdul Ghani

2011-01-01

K-based Help desk system is a knowledge oriented web based system that provides support to technical service providers in order to improve delivery of their services. It is a multi-centric system which focuses not only on end-users but the various levels of technical support services as well as the management through the utilization of knowledge which resides and grows within the system. Though providing user friendly system and capturing technical knowledge to improve efficiencies are the main objectives of this system, educating users with technical information through the knowledge utilization system are the spin-off target from this implementation. This is achieved by preventing the service providers from handling repetitive complaints which may have similarity in nature. Once a complaint has been resolved, the system captures the solution as an item in the knowledge database. The captured knowledge will then enable service requesters or users to get some ideas regarding their complaints from information or knowledge of other similar complaints besides providing relevant knowledge to the service provider such as the techniques used in solving problems and the performance among the technical support staffs. As for the management, this system helps in the decision making process in which the statistics features provide some knowledge on the number of equipment that frequently and consistently failed. This then leads to some understanding of the equipment that may create lost to the organization in terms of time and money. This system has been tested and implemented in IT Center (IT) and Engineering Division (BKJ) and is at the initial process of implementation in the Instrumentation and Automation Center (IAC) at Malaysian Nuclear Agency (Nuclear Malaysia). The system has helped in achieving a higher level of user satisfaction and a faster growth in technical knowledge repository that will serve as the institutional memory of Nuclear Malaysia and this will be

Understanding help-seeking amongst university students: the role of group identity, stigma, and exposure to suicide and help-seeking

Science.gov (United States)

Kearns, Michelle; Muldoon, Orla T.; Msetfi, Rachel M.; Surgenor, Paul W. G.

2015-01-01

Background: Despite a high prevalence of suicide ideation and mental health issues amongst university students, the stigma of help-seeking remains a barrier to those who are in real need of professional support. Social identity theory states that help received from an ingroup source is more welcome and less threatening to one's identity than that from a source perceived as outgroup. Therefore, we hypothesized that students' stigma toward seeking help from their university mental health service would differ based on the strength of their identification with the university. Method: An online survey including measures of stigma of suicide, group identification, experience with help-seeking and exposure to suicide was administered to Irish university students (N = 493). Results: Group identification was a significant predictor of help-seeking attitudes after controlling for already known predictors. Contrary to our expectations, those who identified more strongly with their university demonstrated a higher stigma of seeking help from their university mental health service. Conclusions: Results are discussed in relation to self-categorization theory and the concept of normative fit. Practical implications for mental health service provision in universities are also addressed, specifically the need for a range of different mental health services both on and off-campus. PMID:26483722

Understanding help-seeking amongst university students: The role of group identity, stigma and exposure to suicide and help-seeking

Directory of Open Access Journals (Sweden)

Michelle eKearns

2015-09-01

Full Text Available Background: Despite a high prevalence of suicide ideation and mental health issues amongst university students, the stigma of help-seeking remains a barrier to those who are in real need of professional support. Social identity theory states that help received from an ingroup source is more welcome and less threatening to one’s identity than that from a source perceived as outgroup. Therefore, we hypothesized that students' stigma towards seeking help from their university mental health service would differ based on the strength of their identification with the university.Method: An online survey including measures of stigma of suicide, group identification, experience with help-seeking and exposure to suicide was administered to Irish university students (N = 493.Results: Group identification was a significant predictor of help-seeking attitudes after controlling for already known predictors. Contrary to our expectations, those who identified more strongly with their university demonstrated a higher stigma of seeking help from their university mental health service.Conclusions: Results are discussed in relation to self-categorization theory and the concept of normative fit. Practical implications for mental health service provision in universities are also addressed, specifically the need for a range of different mental health services both on and off-campus.

Fostering Helping Relationships: An Interview with W. Brad Johnson

Science.gov (United States)

Johnson, W. Brad; Robison, Susan

2017-01-01

There are many kinds of helping relationships--coaching, mentoring, psychotherapy, and others. In this interview with W. Brad Johnson, Susan Robison explores how some of his insights about mentoring can be applicable to other types of helping relationships, like coaching. Mentoring is viewed as a broader relationship, but does include many of the…

Using Temporal Covariance of Motion and Geometric Features via Boosting for Human Fall Detection.

Science.gov (United States)

Ali, Syed Farooq; Khan, Reamsha; Mahmood, Arif; Hassan, Malik Tahir; Jeon, And Moongu

2018-06-12

Fall induced damages are serious incidences for aged as well as young persons. A real-time automatic and accurate fall detection system can play a vital role in timely medication care which will ultimately help to decrease the damages and complications. In this paper, we propose a fast and more accurate real-time system which can detect people falling in videos captured by surveillance cameras. Novel temporal and spatial variance-based features are proposed which comprise the discriminatory motion, geometric orientation and location of the person. These features are used along with ensemble learning strategy of boosting with J48 and Adaboost classifiers. Experiments have been conducted on publicly available standard datasets including Multiple Cameras Fall ( with 2 classes and 3 classes ) and UR Fall Detection achieving percentage accuracies of 99.2, 99.25 and 99.0, respectively. Comparisons with nine state-of-the-art methods demonstrate the effectiveness of the proposed approach on both datasets.

Ten-year outcome including patterns of failure and toxicity for adjuvant whole abdominopelvic irradiation in high-risk and poor histologic feature patients with endometrial carcinoma

International Nuclear Information System (INIS)

Stewart, Kimberly D.; Martinez, Alvaro A.; Weiner, Sheldon; Podratz, Karl; Stromberg, Jannifer S.; Schray, Mark; Mitchell, Christina; Sherman, Alfred; Chen, Peter; Brabbins, Donald A.

2002-01-01

Purpose: To evaluate the long-term results of treatment using adjuvant whole abdominal irradiation (WAPI) with a pelvic/vaginal boost in patients with Stage I-III endometrial carcinoma at high risk of intra-abdominopelvic recurrence, including clear cell (CC) and serous-papillary (SP) histologic features. Methods and Materials: In a prospective nonrandomized trial, 119 patients were treated with adjuvant WAPI between November 1981 and April 2000. All patients were analyzed, including those who did not complete therapy. The mean age at diagnosis was 66 years (range 39-88). Thirty-eight patients (32%) had 1989 FIGO Stage I-II disease and 81 (68%) had Stage III. The pathologic features included the following: 64 (54%) with deep myometrial invasion, 48 (40%) with positive peritoneal cytologic findings, 69 (58%) with high-grade lesions, 21 (18%) with positive pelvic/para-aortic lymph nodes, and 44 (37%) with SP or CC histologic findings. Results: The mean follow-up was 5.8 years (range 0.2-14.7). For the entire group, the 5- and 10-year cause-specific survival (CSS) rate was 75% and 69% and the disease-free survival (DFS) rate was 58% and 48%, respectively. When stratified by histologic features, the 5- and 10-year CSS rate for adenocarcinoma was 76% and 71%, and for serous papillary/CC subtypes, it was 74% and 63%, respectively (p=0.917). The 5- and 10-year DFS rate for adenocarcinoma was 60% and 50% and was 54% and 37% serous papillary/CC subtypes, respectively (p=0.498). For surgical Stage I-II, the 5-year CSS rate was 82% for adenocarcinoma and 87% for SP/CC features (p=0.480). For Stage III, it was 75% and 57%, respectively (p=0.129). Thirty-seven patients had a relapse, with the first site of failure the abdomen/pelvis in 14 (38%), lung in 8 (22%), extraabdominal lymph nodes in 7 (19%), vagina in 6 (16%), and other in 2 (5%). When stratified by histologic variant, 32% of patients with adenocarcinoma and 30% with the SP/CC subtype developed recurrent disease. Most

Clinical Features Of Malaria And Typhoid Fever | Mba | Journal of ...

African Journals Online (AJOL)

Features to distinguish Malaria from Typhoid fever. These can be discerned from a good and detailed clinical history, in addition to a thorough physical examination. The following would help. The paroxysms of malaria fever as against the step ladder pattern fever of typhoid fever. The prominence of headaches in typhoid ...

Critical product features' identification using an opinion analyzer.

Science.gov (United States)

Shamim, Azra; Balakrishnan, Vimala; Tahir, Muhammad; Shiraz, Muhammad

2014-01-01

The increasing use and ubiquity of the Internet facilitate dissemination of word-of-mouth through blogs, online forums, newsgroups, and consumer's reviews. Online consumer's reviews present tremendous opportunities and challenges for consumers and marketers. One of the challenges is to develop interactive marketing practices for making connections with target consumers that capitalize consumer-to-consumer communications for generating product adoption. Opinion mining is employed in marketing to help consumers and enterprises in the analysis of online consumers' reviews by highlighting the strengths and weaknesses of the products. This paper describes an opinion mining system based on novel review and feature ranking methods to empower consumers and enterprises for identifying critical product features from enormous consumers' reviews. Consumers and business analysts are the main target group for the proposed system who want to explore consumers' feedback for determining purchase decisions and enterprise strategies. We evaluate the proposed system on real dataset. Results show that integration of review and feature-ranking methods improves the decision making processes significantly.

A helping hand

NARCIS (Netherlands)

Mirjam de Klerk; Alice de Boer; Sjoerd Kooiker; Inger Plaisier; Peggy Schyns

2014-01-01

Original title: Hulp geboden   The help provided to people with a care need is about to undergo major changes in the Netherlands. People who need help will be expected to rely more on help from members of their network. What are the opportunities for informal carers and volunteers, and where

Teaching Primary Science: How Research Helps

Science.gov (United States)

Harlen, Wynne

2010-01-01

The very first edition of "Primary Science Review" included an article entitled "Teaching primary science--how research can help" (Harlen, 1986), which announced that a section of the journal would be for reports of research and particularly for teachers reporting their classroom research. The intervening 24 years have seen…

Imaging features of thalassemia

Energy Technology Data Exchange (ETDEWEB)

Tunaci, M.; Tunaci, A.; Engin, G.; Oezkorkmaz, B.; Acunas, G.; Acunas, B. [Dept. of Radiology, Istanbul Univ. (Turkey); Dincol, G. [Dept. of Internal Medicine, Istanbul Univ. (Turkey)

1999-07-01

Thalassemia is a kind of chronic, inherited, microcytic anemia characterized by defective hemoglobin synthesis and ineffective erythropoiesis. In all thalassemias clinical features that result from anemia, transfusional, and absorptive iron overload are similar but vary in severity. The radiographic features of {beta}-thalassemia are due in large part to marrow hyperplasia. Markedly expanded marrow space lead to various skeletal manifestations including spine, skull, facial bones, and ribs. Extramedullary hematopoiesis (ExmH), hemosiderosis, and cholelithiasis are among the non-skeletal manifestations of thalassemia. The skeletal X-ray findings show characteristics of chronic overactivity of the marrow. In this article both skeletal and non-skeletal manifestations of thalassemia are discussed with an overview of X-ray findings, including MRI and CT findings. (orig.)

Imaging features of thalassemia

International Nuclear Information System (INIS)

Tunaci, M.; Tunaci, A.; Engin, G.; Oezkorkmaz, B.; Acunas, G.; Acunas, B.; Dincol, G.

1999-01-01

Thalassemia is a kind of chronic, inherited, microcytic anemia characterized by defective hemoglobin synthesis and ineffective erythropoiesis. In all thalassemias clinical features that result from anemia, transfusional, and absorptive iron overload are similar but vary in severity. The radiographic features of β-thalassemia are due in large part to marrow hyperplasia. Markedly expanded marrow space lead to various skeletal manifestations including spine, skull, facial bones, and ribs. Extramedullary hematopoiesis (ExmH), hemosiderosis, and cholelithiasis are among the non-skeletal manifestations of thalassemia. The skeletal X-ray findings show characteristics of chronic overactivity of the marrow. In this article both skeletal and non-skeletal manifestations of thalassemia are discussed with an overview of X-ray findings, including MRI and CT findings. (orig.)

Feature selection using genetic algorithms for fetal heart rate analysis

International Nuclear Information System (INIS)

Xu, Liang; Redman, Christopher W G; Georgieva, Antoniya; Payne, Stephen J

2014-01-01

The fetal heart rate (FHR) is monitored on a paper strip (cardiotocogram) during labour to assess fetal health. If necessary, clinicians can intervene and assist with a prompt delivery of the baby. Data-driven computerized FHR analysis could help clinicians in the decision-making process. However, selecting the best computerized FHR features that relate to labour outcome is a pressing research problem. The objective of this study is to apply genetic algorithms (GA) as a feature selection method to select the best feature subset from 64 FHR features and to integrate these best features to recognize unfavourable FHR patterns. The GA was trained on 404 cases and tested on 106 cases (both balanced datasets) using three classifiers, respectively. Regularization methods and backward selection were used to optimize the GA. Reasonable classification performance is shown on the testing set for the best feature subset (Cohen's kappa values of 0.45 to 0.49 using different classifiers). This is, to our knowledge, the first time that a feature selection method for FHR analysis has been developed on a database of this size. This study indicates that different FHR features, when integrated, can show good performance in predicting labour outcome. It also gives the importance of each feature, which will be a valuable reference point for further studies. (paper)

Airborne electromagnetic detection of shallow seafloor topographic features, including resolution of multiple sub-parallel seafloor ridges

Science.gov (United States)

Vrbancich, Julian; Boyd, Graham

2014-05-01

The HoistEM helicopter time-domain electromagnetic (TEM) system was flown over waters in Backstairs Passage, South Australia, in 2003 to test the bathymetric accuracy and hence the ability to resolve seafloor structure in shallow and deeper waters (extending to ~40 m depth) that contain interesting seafloor topography. The topography that forms a rock peak (South Page) in the form of a mini-seamount that barely rises above the water surface was accurately delineated along its ridge from the start of its base (where the seafloor is relatively flat) in ~30 m water depth to its peak at the water surface, after an empirical correction was applied to the data to account for imperfect system calibration, consistent with earlier studies using the same HoistEM system. A much smaller submerged feature (Threshold Bank) of ~9 m peak height located in waters of 35 to 40 m depth was also accurately delineated. These observations when checked against known water depths in these two regions showed that the airborne TEM system, following empirical data correction, was effectively operating correctly. The third and most important component of the survey was flown over the Yatala Shoals region that includes a series of sub-parallel seafloor ridges (resembling large sandwaves rising up to ~20 m from the seafloor) that branch out and gradually decrease in height as the ridges spread out across the seafloor. These sub-parallel ridges provide an interesting topography because the interpreted water depths obtained from 1D inversion of TEM data highlight the limitations of the EM footprint size in resolving both the separation between the ridges (which vary up to ~300 m) and the height of individual ridges (which vary up to ~20 m), and possibly also the limitations of assuming a 1D model in areas where the topography is quasi-2D/3D.

Linear and nonlinear analysis of airflow recordings to help in sleep apnoea–hypopnoea syndrome diagnosis

International Nuclear Information System (INIS)

Gutiérrez-Tobal, G C; Hornero, R; Álvarez, D; Marcos, J V; Del Campo, F

2012-01-01

This paper focuses on the analysis of single-channel airflow (AF) signal to help in sleep apnoea–hypopnoea syndrome (SAHS) diagnosis. The respiratory rate variability (RRV) series is derived from AF by measuring time between consecutive breathings. A set of statistical, spectral and nonlinear features are extracted from both signals. Then, the forward stepwise logistic regression (FSLR) procedure is used in order to perform feature selection and classification. Three logistic regression (LR) models are obtained by applying FSLR to features from AF, RRV and both signals simultaneously. The diagnostic performance of single features and LR models is assessed and compared in terms of sensitivity, specificity, accuracy and area under the receiver-operating characteristics curve (AROC). The highest accuracy (82.43%) and AROC (0.903) are reached by the LR model derived from the combination of AF and RRV features. This result suggests that AF and RRV provide useful information to detect SAHS. (paper)

Imaging features of musculoskeletal tuberculosis

International Nuclear Information System (INIS)

Vuyst, Dimitri De; Vanhoenacker, Filip; Bernaerts, Anja; Gielen, Jan; Schepper, Arthur M. de

2003-01-01

The purpose of this article is to review the imaging characteristics of musculoskeletal tuberculosis. Skeletal tuberculosis represents one-third of all cases of tuberculosis occurring in extrapulmonary sites. Hematogenous spread from a distant focus elsewhere in the body is the cornerstone in the understanding of imaging features of musculoskeletal tuberculosis. The most common presentations are tuberculous spondylitis, arthritis, osteomyelitis, and soft tissue involvement. The diagnostic value of the different imaging techniques, which include conventional radiography, CT, and MR imaging, are emphasized. Whereas conventional radiography is the mainstay in the diagnosis of tuberculous arthritis and osteomyelitis, MR imaging may detect associated bone marrow and soft tissue abnormalities. MR imaging is generally accepted as the imaging modality of choice for diagnosis, demonstration of the extent of the disease of tuberculous spondylitis, and soft tissue tuberculosis. Moreover, it may be very helpful in the differential diagnosis with pyogenic spondylodiscitis, as it may easily demonstrate anterior corner destruction, the relative preservation of the intervertebral disk, multilevel involvement with or without skip lesions, and a large soft tissue abscess, as these are all arguments in favor of a tuberculous spondylitis. On the other hand, CT is still superior in the demonstration of calcifications, which are found in chronic tuberculous abscesses. (orig.)

Less common CT features of medulloblastoma

International Nuclear Information System (INIS)

Zee, C.S; Segall, H.D.; Miller, C.; Ahmad, J.; McComb, J.G.; Han, J.S.; Park, S.H.

1982-01-01

While many medulloblastomas have characteristic features on computed tomography (CT), a significant number have atypical features, including a cystic or necrotic component, calcification, hemorrhage, lack of contrast enhancement, and eccentric location, and/or direct supratentorial extension. Of 30 consecutive untreated cases reviewed by the authors, 14 (47%) had such findings. Failure to make the proper diagnosis will result in some cases if these features are not recognized as possible signs of medulloblastoma

Helping for Change

Science.gov (United States)

Neuringer, Allen; Oleson, Kathryn C.

2010-01-01

In "Helping for Change," Allen Neuringer and Kathryn Oleson describe another strategy that individuals can use to achieve their green goals. You might ask, "How can helping someone else help me change when I'm in the habit of not fulfilling my own promises?" The authors answer that question by explaining how the social reinforcement in a helping…

Improved pulmonary nodule classification utilizing quantitative lung parenchyma features.

Science.gov (United States)

Dilger, Samantha K N; Uthoff, Johanna; Judisch, Alexandra; Hammond, Emily; Mott, Sarah L; Smith, Brian J; Newell, John D; Hoffman, Eric A; Sieren, Jessica C

2015-10-01

Current computer-aided diagnosis (CAD) models for determining pulmonary nodule malignancy characterize nodule shape, density, and border in computed tomography (CT) data. Analyzing the lung parenchyma surrounding the nodule has been minimally explored. We hypothesize that improved nodule classification is achievable by including features quantified from the surrounding lung tissue. To explore this hypothesis, we have developed expanded quantitative CT feature extraction techniques, including volumetric Laws texture energy measures for the parenchyma and nodule, border descriptors using ray-casting and rubber-band straightening, histogram features characterizing densities, and global lung measurements. Using stepwise forward selection and leave-one-case-out cross-validation, a neural network was used for classification. When applied to 50 nodules (22 malignant and 28 benign) from high-resolution CT scans, 52 features (8 nodule, 39 parenchymal, and 5 global) were statistically significant. Nodule-only features yielded an area under the ROC curve of 0.918 (including nodule size) and 0.872 (excluding nodule size). Performance was improved through inclusion of parenchymal (0.938) and global features (0.932). These results show a trend toward increased performance when the parenchyma is included, coupled with the large number of significant parenchymal features that support our hypothesis: the pulmonary parenchyma is influenced differentially by malignant versus benign nodules, assisting CAD-based nodule characterizations.

Patch layout generation by detecting feature networks

KAUST Repository

Cao, Yuanhao

2015-02-01

The patch layout of 3D surfaces reveals the high-level geometric and topological structures. In this paper, we study the patch layout computation by detecting and enclosing feature loops on surfaces. We present a hybrid framework which combines several key ingredients, including feature detection, feature filtering, feature curve extension, patch subdivision and boundary smoothing. Our framework is able to compute patch layouts through concave features as previous approaches, but also able to generate nice layouts through smoothing regions. We demonstrate the effectiveness of our framework by comparing with the state-of-the-art methods.

Mobile Augmented Reality Support for Architects based on feature Tracking Techniques

DEFF Research Database (Denmark)

Grønbæk, Kaj; Nielsen, Mikkel Bang; Kramp, Gunnar

2004-01-01

This paper presents a mobile Augmented Reality (AR) system called the SitePack supporting architects in visualizing 3D models in real-time on site. We describe how vision based feature tracking techniques can help architects making decisions on site concerning visual impact assessment. The AR sys...

Observing human movements helps decoding environmental forces.

Science.gov (United States)

Zago, Myrka; La Scaleia, Barbara; Miller, William L; Lacquaniti, Francesco

2011-11-01

Vision of human actions can affect several features of visual motion processing, as well as the motor responses of the observer. Here, we tested the hypothesis that action observation helps decoding environmental forces during the interception of a decelerating target within a brief time window, a task intrinsically very difficult. We employed a factorial design to evaluate the effects of scene orientation (normal or inverted) and target gravity (normal or inverted). Button-press triggered the motion of a bullet, a piston, or a human arm. We found that the timing errors were smaller for upright scenes irrespective of gravity direction in the Bullet group, while the errors were smaller for the standard condition of normal scene and gravity in the Piston group. In the Arm group, instead, performance was better when the directions of scene and target gravity were concordant, irrespective of whether both were upright or inverted. These results suggest that the default viewer-centered reference frame is used with inanimate scenes, such as those of the Bullet and Piston protocols. Instead, the presence of biological movements in animate scenes (as in the Arm protocol) may help processing target kinematics under the ecological conditions of coherence between scene and target gravity directions.

Plasma cortisol and oxytocin levels predict help-seeking intentions for depressive symptoms.

Science.gov (United States)

Thomas, Susan; Larkin, Theresa

2018-01-01

Depressed individuals often refuse or withdraw from help, a phenomenon termed help-negation, which is a risk factor for poor outcomes. Most previous research has investigated psychosocial factors including stigma as causes of low help-seeking intentions for depression, however these do not adequately explain the problem. We hypothesised that because help-negation worsens with symptom severity, it might be linked to important biological changes associated with depression itself. We investigated the relative contributions of cortisol, a stress hormone linked to depression, and oxytocin, a hormone which mediates social behaviours, alongside psychosocial factors, to help-seeking intentions among depressed and non-depressed individuals. Morning plasma cortisol and oxytocin levels, psychopathology, suicidal ideation, help-seeking intentions from informal sources including family and friends, and formal sources including health professionals, and perceived social support were quantified in 63 adults meeting DSM-5 criteria for major depressive disorder (MDD) who were not receiving any treatment, and 60 healthy controls. Between-group analyses of variance, correlations, and hierarchical multiple regressions were employed. Help-seeking intentions were lower in depressed than healthy participants, negatively correlated to cortisol and positively correlated to oxytocin. Cortisol negatively, and oxytocin positively, predicted help-seeking intentions from informal but not formal sources, after controlling for psychopathology and psychosocial factors. Neuroendocrine changes associated with depression may contribute to low help-seeking from friends and family, which may have implications for interpersonal support and outcomes. Research and clinical approaches which incorporate biological as well as psychosocial factors may allow for more targeted and effective early interventions to address lack of help-seeking and depression progression. Copyright © 2017 Elsevier Ltd. All rights

Major features of immunesenescence, including reduced thymic output, are ameliorated by high levels of physical activity in adulthood.

Science.gov (United States)

Duggal, Niharika Arora; Pollock, Ross D; Lazarus, Norman R; Harridge, Stephen; Lord, Janet M

2018-04-01

It is widely accepted that aging is accompanied by remodelling of the immune system including thymic atrophy and increased frequency of senescent T cells, leading to immune compromise. However, physical activity, which influences immunity but declines dramatically with age, is not considered in this literature. We assessed immune profiles in 125 adults (55-79 years) who had maintained a high level of physical activity (cycling) for much of their adult lives, 75 age-matched older adults and 55 young adults not involved in regular exercise. The frequency of naïve T cells and recent thymic emigrants (RTE) were both higher in cyclists compared with inactive elders, and RTE frequency in cyclists was no different to young adults. Compared with their less active counterparts, the cyclists had significantly higher serum levels of the thymoprotective cytokine IL-7 and lower IL-6, which promotes thymic atrophy. Cyclists also showed additional evidence of reduced immunesenescence, namely lower Th17 polarization and higher B regulatory cell frequency than inactive elders. Physical activity did not protect against all aspects of immunesenescence: CD28 -ve CD57 +ve senescent CD8 T-cell frequency did not differ between cyclists and inactive elders. We conclude that many features of immunesenescence may be driven by reduced physical activity with age. © 2018 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.

Paying it forward: How helping others can reduce the psychological threat of receiving help

NARCIS (Netherlands)

Alvarez, K.; van Leeuwen, E.

2015-01-01

This paper shows that receiving help could be psychologically harmful for recipients, and passing on help to others after receiving help ("helping forward") is a good strategy to improve and restore help recipients' self-competence. Participants (N=87) received autonomy- or dependency-oriented help

CT features of lymphobronchial tuberculosis in children, including complications and associated abnormalities

Energy Technology Data Exchange (ETDEWEB)

Lucas, Susan; Andronikou, Savvas [Faculty of Health Sciences, University of the Witwatersrand, Department of Radiology, Johannesburg (South Africa); Goussard, Pierre; Gie, Robert [Stellenbosch University, Department Paediatrics, Stellenbosch (South Africa)

2012-08-15

Lymphobronchial tuberculosis (TB) is tuberculous lymphadenopathy involving the airways, which is particularly common in children. To describe CT findings of lymphobronchial TB in children, the parenchymal complications and associated abnormalities. CT scans of children with lymphobronchial TB were reviewed retrospectively. Lymphadenopathy, bronchial narrowing, parenchymal complications and associations were documented. Infants comprised 51% of patients. The commonest site of lymphadenopathy was the subcarinal mediastinum (97% of patients). Bronchial compression was seen in all children (259 bronchi, of these 28% the bronchus intermedius) with severe or complete stenosis in 23% of affected bronchi. Parenchymal complications were present in 94% of patients, including consolidation (88%), breakdown (42%), air trapping (38%), expansile pneumonia (28%), collapse (17%) and bronchiectasis (9%), all predominantly on the right side (63%). Associated abnormalities included ovoid lesions, miliary nodules, pleural disease and intracavitary bodies. Airway compression was more severe in infants and most commonly involved the bronchus intermedius. Numerous parenchymal complications were documented, all showing right-side predominance. (orig.)

Automated characterization of diabetic foot using nonlinear features extracted from thermograms

Science.gov (United States)

Adam, Muhammad; Ng, Eddie Y. K.; Oh, Shu Lih; Heng, Marabelle L.; Hagiwara, Yuki; Tan, Jen Hong; Tong, Jasper W. K.; Acharya, U. Rajendra

2018-03-01

Diabetic foot is a major complication of diabetes mellitus (DM). The blood circulation to the foot decreases due to DM and hence, the temperature reduces in the plantar foot. Thermography is a non-invasive imaging method employed to view the thermal patterns using infrared (IR) camera. It allows qualitative and visual documentation of temperature fluctuation in vascular tissues. But it is difficult to diagnose these temperature changes manually. Thus, computer assisted diagnosis (CAD) system may help to accurately detect diabetic foot to prevent traumatic outcomes such as ulcerations and lower extremity amputation. In this study, plantar foot thermograms of 33 healthy persons and 33 individuals with type 2 diabetes are taken. These foot images are decomposed using discrete wavelet transform (DWT) and higher order spectra (HOS) techniques. Various texture and entropy features are extracted from the decomposed images. These combined (DWT + HOS) features are ranked using t-values and classified using support vector machine (SVM) classifier. Our proposed methodology achieved maximum accuracy of 89.39%, sensitivity of 81.81% and specificity of 96.97% using only five features. The performance of the proposed thermography-based CAD system can help the clinicians to take second opinion on their diagnosis of diabetic foot.

Value of sonography in establishing severity of liver cirrhosis:correlation of sonographic features with Childclass

International Nuclear Information System (INIS)

Choi, Byung Ihn; KIm, Ho Chul; Shin, Yong Moon; Kim, Chu Wan; Lee, Hyo suk; Kim, Chung Yong

1993-01-01

This prospective study was designed to investigate the utility of sonography in establishing severity of liver cirrhosis as compared with Child class in clinical creteria. Seventy-our consecutive patients with liver cirrhosis were examined with sonography. This study included 50 males and 24 females, aged 35 to 72 years (mean ; 51) The number of patients in child A,B, and C group was 30,29,15 respectively. Sonographic features evaluated were hepatic parenchymal echo pattern, presence of nodularity of hepatic surface, degree of hepatic sonic attenuation,degree of obliteration of wall echo of the intrahepatic portal vein, size of the main portal vein, thickness of the gallbladder wall, size of the spleen, and presence of ascites. Each sonographic features was graded from 0 to depending upon the degree of severity, and was correlated with Child class of liver cirrhosis. Hepatic parenchymal echo pattern, presence of nodularity of hepatic surface, thickness of gallbladder wall, and presence of ascites were correlated well with Child class (p 0.05). In conclusion, these results indicate that careful evaluation of sonographic features are helpful in predicting severity of liver cirrhosis

Search features of digital libraries

Directory of Open Access Journals (Sweden)

Alastair G. Smith

2000-01-01

Full Text Available Traditional on-line search services such as Dialog, DataStar and Lexis provide a wide range of search features (boolean and proximity operators, truncation, etc. This paper discusses the use of these features for effective searching, and argues that these features are required, regardless of advances in search engine technology. The literature on on-line searching is reviewed, identifying features that searchers find desirable for effective searching. A selective survey of current digital libraries available on the Web was undertaken, identifying which search features are present. The survey indicates that current digital libraries do not implement a wide range of search features. For instance: under half of the examples included controlled vocabulary, under half had proximity searching, only one enabled browsing of term indexes, and none of the digital libraries enable searchers to refine an initial search. Suggestions are made for enhancing the search effectiveness of digital libraries, for instance by: providing a full range of search operators, enabling browsing of search terms, enhancement of records with controlled vocabulary, enabling the refining of initial searches, etc.

Helping Your Child through Early Adolescence -- Helping Your Child Series

Science.gov (United States)

... Bibliography Acknowledgements Tips to Help Your Child through Early Adolescence No Child Left Behind Printable ... Information About... Transforming Teaching Family and Community Engagement Early Learning Helping Your Child Our mission is to promote student achievement and ...

Foundation helps refurbish buildings

International Nuclear Information System (INIS)

Camenzind, B.

2006-01-01

This article looks at the activities of the Swiss 'Climate-Cent' foundation, which is helping support the energetic refurbishment of building envelopes. The conditions which have to be fulfilled to receive grants are explained. Work supported includes the replacement of windows and the insulation of roofs and attics as well as outside walls. Details on the financial support provided and examples of projects supported are given. The source of the finance needed to provide such support - a voluntary levy on petrol - and further support provided in certain Swiss cantons is commented on

Can CT and MR Shape and Textural Features Differentiate Benign Versus Malignant Pleural Lesions?

Science.gov (United States)

Pena, Elena; Ojiaku, MacArinze; Inacio, Joao R; Gupta, Ashish; Macdonald, D Blair; Shabana, Wael; Seely, Jean M; Rybicki, Frank J; Dennie, Carole; Thornhill, Rebecca E

2017-10-01

The study aimed to identify a radiomic approach based on CT and or magnetic resonance (MR) features (shape and texture) that may help differentiate benign versus malignant pleural lesions, and to assess if the radiomic model may improve confidence and accuracy of radiologists with different subspecialty backgrounds. Twenty-nine patients with pleural lesions studied on both contrast-enhanced CT and MR imaging were reviewed retrospectively. Three texture and three shape features were extracted. Combinations of features were used to generate logistic regression models using histopathology as outcome. Two thoracic and two abdominal radiologists evaluated their degree of confidence in malignancy. Diagnostic accuracy of radiologists was determined using contingency tables. Cohen's kappa coefficient was used to assess inter-reader agreement. Using optimal threshold criteria, sensitivity, specificity, and accuracy of each feature and combination of features were obtained and compared to the accuracy and confidence of radiologists. The CT model that best discriminated malignant from benign lesions revealed an AUC CT  = 0.92 ± 0.05 (P textural and shape analysis may help distinguish malignant from benign lesions. A radiomics-based approach may increase diagnostic confidence of abdominal radiologists on CT and MR and may potentially improve radiologists' accuracy in the assessment of pleural lesions characterized by MR. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Semantic Feature Training for the Treatment of Anomia in Alzheimer Disease: A Preliminary Investigation.

Science.gov (United States)

Flanagan, Kieran J; Copland, David A; van Hees, Sophia; Byrne, Gerard J; Angwin, Anthony J

2016-03-01

This is a preliminary investigation into the effectiveness of semantic feature training for the treatment of anomia in Alzheimer disease (AD). Anomia is a common clinical characteristic of AD. It is widely held that anomia in AD is caused by the combination of cognitive deficits and progressive loss of semantic feature information. Therapy that aims to help participants relearn or retain semantic features should, therefore, help treat anomia in AD. Two men with AD and one man with progressive nonfluent aphasia received 10 treatment sessions focused on relearning the names of 20 animals and 20 fruits. Within each category, half of the items were of high and half were of low typicality. We individualized treatment items to each participant, using items that each had not named correctly at baseline. Treatment sessions consisted of naming, category sorting, and semantic feature verification tasks. Both participants with AD showed post-treatment improvements in naming, and one maintained the treatment effects at 6-week follow-up. The semantic category of the treatment items influenced post-treatment outcomes, but typicality did not. In contrast to the participants with AD, the man with progressive nonfluent aphasia had no improvement in naming ability. Our results suggest the potential viability of semantic feature training to treat anomia in AD and, therefore, the need for further research.

Responses to Change Helping People Make Transitions

CERN Document Server

(CCL), Center for Creative Leadership

2011-01-01

The ongoing state of many organizations is one of change. People who experience major change tend to exhibit one of four patterns of response: entrenched, overwhelmed, poser, or learner. As a leader, you need to understand the patterns of response that people express and to customize intervention strategies to help them make the transition. People can pass through a given response stage and move to one that is more effective--especially if you provide timely intervention and support. This guidebook will help you understand how people, including yourself, are responding to change and what you c

Clinical and ultrasonographic features of male breast tumors: A retrospective analysis.

Science.gov (United States)

Yuan, Wei-Hsin; Li, Anna Fen-Yau; Chou, Yi-Hong; Hsu, Hui-Chen; Chen, Ying-Yuan

2018-01-01

The purpose of this study was to determine clinical and ultrasonographic characteristics of male breast tumors. The medical records of male patients with breast lesions were retrieved from an electronic medical record database and a pathology database and retrospectively reviewed. A total of 112 men (125 breast masses) with preoperative breast ultrasonography (US) were included (median age, 59.50 years; age range, 15-96 years). Data extracted included patient age, if the lesions were bilateral, palpable, and tender, and the presence of nipple discharge. Breast lesion features on static US images were reviewed by three experienced radiologists without knowledge of physical examination or pathology results, original breast US image interpretations, or surgical outcomes. The US features were documented according to the BI-RADS (Breast Imaging-Reporting and Data System) US lexicons. A forth radiologist compiled the data for analysis. Of the 125 breast masses, palpable tender lumps and bilateral synchronous masses were more likely to be benign than malignant (both, 100% vs 0%, P nipples were common in malignant lesions (P nipple, irregular shape, the presence of an echogenic halo, predominantly internal vascularity, and rich color flow signal on color Doppler ultrasound were significantly related to malignancy (all, P < 0.05). An echogenic halo and the presence of rich color flow signal were independent predictors of malignancy. Specific clinical and US characteristics of male breast tumors may help guide treatment, and determine if surgery or conservative treatment is preferable.

Helping Children Develop Resiliency: Providing Supportive Relationships

Science.gov (United States)

Kersey, Katharine C.; Malley, Catherine Robertson

2005-01-01

Helping children develop resiliency begins with positive, meaningful connections between teachers and students. This article defines the importance of encouraging children to develop characteristics related to resiliency including confidence in their ability to bounce back from setbacks, overcome challenges and frustrations. Furthermore, critical…

Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.

Science.gov (United States)

Rodriguez Gutierrez, D; Awwad, A; Meijer, L; Manita, M; Jaspan, T; Dineen, R A; Grundy, R G; Auer, D P

2014-05-01

Qualitative radiologic MR imaging review affords limited differentiation among types of pediatric posterior fossa brain tumors and cannot detect histologic or molecular subtypes, which could help to stratify treatment. This study aimed to improve current posterior fossa discrimination of histologic tumor type by using support vector machine classifiers on quantitative MR imaging features. This retrospective study included preoperative MRI in 40 children with posterior fossa tumors (17 medulloblastomas, 16 pilocytic astrocytomas, and 7 ependymomas). Shape, histogram, and textural features were computed from contrast-enhanced T2WI and T1WI and diffusivity (ADC) maps. Combinations of features were used to train tumor-type-specific classifiers for medulloblastoma, pilocytic astrocytoma, and ependymoma types in separation and as a joint posterior fossa classifier. A tumor-subtype classifier was also produced for classic medulloblastoma. The performance of different classifiers was assessed and compared by using randomly selected subsets of training and test data. ADC histogram features (25th and 75th percentiles and skewness) yielded the best classification of tumor type (on average >95.8% of medulloblastomas, >96.9% of pilocytic astrocytomas, and >94.3% of ependymomas by using 8 training samples). The resulting joint posterior fossa classifier correctly assigned >91.4% of the posterior fossa tumors. For subtype classification, 89.4% of classic medulloblastomas were correctly classified on the basis of ADC texture features extracted from the Gray-Level Co-Occurence Matrix. Support vector machine-based classifiers using ADC histogram features yielded very good discrimination among pediatric posterior fossa tumor types, and ADC textural features show promise for further subtype discrimination. These findings suggest an added diagnostic value of quantitative feature analysis of diffusion MR imaging in pediatric neuro-oncology. © 2014 by American Journal of Neuroradiology.

Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features

Directory of Open Access Journals (Sweden)

Ömer Eskidere

2015-01-01

Full Text Available The Mel Frequency Cepstral Coefficients (MFCCs are widely used in order to extract essential information from a voice signal and became a popular feature extractor used in audio processing. However, MFCC features are usually calculated from a single window (taper characterized by large variance. This study shows investigations on reducing variance for the classification of two different voice qualities (normal voice and disordered voice using multitaper MFCC features. We also compare their performance by newly proposed windowing techniques and conventional single-taper technique. The results demonstrate that adapted weighted Thomson multitaper method could distinguish between normal voice and disordered voice better than the results done by the conventional single-taper (Hamming window technique and two newly proposed windowing methods. The multitaper MFCC features may be helpful in identifying voices at risk for a real pathology that has to be proven later.

PHROG: A Multimodal Feature for Place Recognition

Directory of Open Access Journals (Sweden)

Fabien Bonardi

2017-05-01

Full Text Available Long-term place recognition in outdoor environments remains a challenge due to high appearance changes in the environment. The problem becomes even more difficult when the matching between two scenes has to be made with information coming from different visual sources, particularly with different spectral ranges. For instance, an infrared camera is helpful for night vision in combination with a visible camera. In this paper, we emphasize our work on testing usual feature point extractors under both constraints: repeatability across spectral ranges and long-term appearance. We develop a new feature extraction method dedicated to improve the repeatability across spectral ranges. We conduct an evaluation of feature robustness on long-term datasets coming from different imaging sources (optics, sensors size and spectral ranges with a Bag-of-Words approach. The tests we perform demonstrate that our method brings a significant improvement on the image retrieval issue in a visual place recognition context, particularly when there is a need to associate images from various spectral ranges such as infrared and visible: we have evaluated our approach using visible, Near InfraRed (NIR, Short Wavelength InfraRed (SWIR and Long Wavelength InfraRed (LWIR.

The Diagnosis and Understanding of Apraxia of Speech: Why Including Neurodegenerative Etiologies May Be Important

Science.gov (United States)

Duffy, Joseph R.; Josephs, Keith A.

2012-01-01

Purpose: To discuss apraxia of speech (AOS) as it occurs in neurodegenerative disease (progressive AOS [PAOS]) and how its careful study may contribute to general concepts of AOS and help refine its diagnostic criteria. Method: The article summarizes our current understanding of the clinical features and neuroanatomical and pathologic correlates…

What vehicle features are considered important when buying an automobile? An examination of driver preferences by age and gender.

Science.gov (United States)

Vrkljan, Brenda H; Anaby, Dana

2011-02-01

Certain vehicle features can help drivers avoid collisions and/or protect occupants in the event of a crash, and therefore, might play an important role when deciding which vehicle to purchase. The objective of this study was to examine the importance attributed to key vehicle features (including safety) that drivers consider when buying a car and its association with age and gender. A sample of 2,002 Canadian drivers aged 18 years and older completed a survey that asked them to rank the importance of eight vehicle features if they were to purchase a vehicle (storage, mileage, safety, price, comfort, performance, design, and reliability). ANOVA tests were performed to: (a) determine if there were differences in the level of importance between features and; (b) examine the effect of age and gender on the importance attributed to these features. Of the features examined, safety and reliability were the most highly rated in terms of importance, whereas design and performance had the lowest rating. Differences in safety and performance across age groups were dependent on gender. This effect was most evident in the youngest and oldest age groups. Safety and reliability were considered the most important features. Age and gender play a significant role in explaining the importance of certain features. Targeted efforts for translating safety-related information to the youngest and oldest consumers should be emphasized due to their high collision, injury, and fatality rates. Copyright © 2011 National Safety Council and Elsevier Ltd. All rights reserved.

Children's Recognition of Pride and Guilt as Consequences of Helping and Not Helping.

Science.gov (United States)

Shorr, David N.; McClelland, Stephen E.

1998-01-01

Investigated the relationship between young children's age and their recognition that helping or choosing not to help can cause feelings of pride or guilt. Found age differences in identifying helping-action or inaction as causes, but little support for the hypothesis that identification of guilt as a consequence of not helping would…

Morphohistological features of pancreatic stump are the main determinant of pancreatic fistula after pancreatoduodenectomy.

Science.gov (United States)

Ridolfi, Cristina; Angiolini, Maria Rachele; Gavazzi, Francesca; Spaggiari, Paola; Tinti, Maria Carla; Uccelli, Fara; Madonini, Marco; Montorsi, Marco; Zerbi, Alessandro

2014-01-01

Pancreatic surgery is challenging and associated with high morbidity, mainly represented by postoperative pancreatic fistula (POPF) and its further consequences. Identification of risk factors for POPF is essential for proper postoperative management. Evaluation of the role of morphological and histological features of pancreatic stump, other than main pancreatic duct diameter and glandular texture, in POPF occurrence after pancreaticoduodenectomy. Between March 2011 and April 2013, we performed 145 consecutive pancreaticoduodenectomies. We intraoperatively recorded morphological features of pancreatic stump and collected data about postoperative morbidity. Our dedicated pathologist designed a score to quantify fibrosis and inflammation of pancreatic tissue. Overall morbidity was 59,3%. Mortality was 4,1%. POPF rate was 28,3%, while clinically significant POPF were 15,8%. Male sex (P = 0.009), BMI ≥ 25 (P = 0.002), prolonged surgery (P = 0.001), soft pancreatic texture (P < 0.001), small pancreatic duct (P < 0.001), pancreatic duct decentralization on stump anteroposterior axis, especially if close to the posterior margin (P = 0.031), large stump area (P = 0.001), and extended stump mobilization (P = 0.001) were related to higher POPF rate. Our fibrosis-and-inflammation score is strongly associated with POPF (P = 0.001). Pancreatic stump features evaluation, including histology, can help the surgeon in fitting postoperative management to patient individual risk after pancreaticoduodenectomy.

CT appearance and features of tubal pregnancy

Energy Technology Data Exchange (ETDEWEB)

Xiaohong, Wang; Hong, Shan; Zaibo, Jiang; Xinghe, Deng; Xiaochun, Meng; Bingbing, Ye; Mingyue, Luo; Yunya, Lin [Sun Yat-sen Univ., Guangzhou (China). The Third Univ. Hospital, Dept. of Radiology

2004-06-01

Objective: To investigate the CT appearance and features of tubal pregnancy. Methods: Precontrast and postcontrast CT scans were employed in 38 patients who were clinically and ultrasonographically suspected of tubal pregnancy. 34 of them were verified as tubal pregnancy through operative pathology. Results: 1. The direct CT imaging feature was the whole pregnancies sac (4/34, 11.8%) or half-baked pregnancies sac (14/34, 41.2%); 2. The indirect CT imaging features were: (1) abnormal density image, which could be enhanced, in a cystic mass around adnexal area (8/34, 23.5%); (2) mix density mass around adnexal area, which was mainly solid and had mild to moderate inhomogeneous enhancement (19/34, 55.9%); (3) large area irregular shadow with high density were found beside the uterus, with no enhancement (3/34, 8.8%). (4) bloody density in uterus-rectum-fossa (23/34, 67.6%). 3. The CT imaging features of tubal pregnancy was classified as: (1) Pregnant sac type (4/34, 11.8%); (2) Cystic (8/34, 23.5%); (3) Massive type (17/34, 50%); (4) Chronic mass type (2/34, 5.9%); (5) Bleeding type (3/34, 8.8%). 4. The CT imaging appearance of tubal pregnancy related with the pregnancy location; 5. The CT imaging appearance of tubal pregnancy related with the clinical significant. Conclusion: The CT imaging appearance of tubal pregnancy has some features, which can help in the diagnosis or differential diagnosis of the pelvis masses. CT scan is an effective supplementary attempt to the clinically and ultrasonographically suspected tubal pregnancy patients.

CT appearance and features of tubal pregnancy

International Nuclear Information System (INIS)

Wang Xiaohong; Shan Hong; Jiang Zaibo; Deng Xinghe; Meng Xiaochun; Ye Bingbing; Luo Mingyue; Lin Yunya

2004-01-01

Objective: To investigate the CT appearance and features of tubal pregnancy. Methods: Precontrast and postcontrast CT scans were employed in 38 patients who were clinically and ultrasonographically suspected of tubal pregnancy. 34 of them were verified as tubal pregnancy through operative pathology. Results: 1. The direct CT imaging feature was the whole pregnancies sac (4/34, 11.8%) or half-baked pregnancies sac (14/34, 41.2%); 2. The indirect CT imaging features were: (1) abnormal density image, which could be enhanced, in a cystic mass around adnexal area (8/34, 23.5%); (2) mix density mass around adnexal area, which was mainly solid and had mild to moderate inhomogeneous enhancement (19/34, 55.9%); (3) large area irregular shadow with high density were found beside the uterus, with no enhancement (3/34, 8.8%). (4) bloody density in uterus-rectum-fossa (23/34, 67.6%). 3. The CT imaging features of tubal pregnancy was classified as: (1) Pregnant sac type (4/34, 11.8%); (2) Cystic (8/34, 23.5%); (3) Massive type (17/34, 50%); (4) Chronic mass type (2/34, 5.9%); (5) Bleeding type (3/34, 8.8%). 4. The CT imaging appearance of tubal pregnancy related with the pregnancy location; 5. The CT imaging appearance of tubal pregnancy related with the clinical significant. Conclusion: The CT imaging appearance of tubal pregnancy has some features, which can help in the diagnosis or differential diagnosis of the pelvis masses. CT scan is an effective supplementary attempt to the clinically and ultrasonographically suspected tubal pregnancy patients

The idiopathic interstitial pneumonias: understanding key radiological features

Energy Technology Data Exchange (ETDEWEB)

Dixon, S. [Department of Radiology, Churchill Hospital, Old Road, Oxford OX3 7LJ (United Kingdom); Benamore, R., E-mail: Rachel.Benamore@orh.nhs.u [Department of Radiology, Churchill Hospital, Old Road, Oxford OX3 7LJ (United Kingdom)

2010-10-15

Many radiologists find it challenging to distinguish between the different interstitial idiopathic pneumonias (IIPs). The British Thoracic Society guidelines on interstitial lung disease (2008) recommend the formation of multidisciplinary meetings, with diagnoses made by combined radiological, pathological, and clinical findings. This review focuses on understanding typical and atypical radiological features on high-resolution computed tomography between the different IIPs, to help the radiologist determine when a confident diagnosis can be made and how to deal with uncertainty.

The idiopathic interstitial pneumonias: understanding key radiological features

International Nuclear Information System (INIS)

Dixon, S.; Benamore, R.

2010-01-01

Many radiologists find it challenging to distinguish between the different interstitial idiopathic pneumonias (IIPs). The British Thoracic Society guidelines on interstitial lung disease (2008) recommend the formation of multidisciplinary meetings, with diagnoses made by combined radiological, pathological, and clinical findings. This review focuses on understanding typical and atypical radiological features on high-resolution computed tomography between the different IIPs, to help the radiologist determine when a confident diagnosis can be made and how to deal with uncertainty.

Critical Product Features' Identification Using an Opinion Analyzer

Science.gov (United States)

Shamim, Azra; Balakrishnan, Vimala

2014-01-01

The increasing use and ubiquity of the Internet facilitate dissemination of word-of-mouth through blogs, online forums, newsgroups, and consumer's reviews. Online consumer's reviews present tremendous opportunities and challenges for consumers and marketers. One of the challenges is to develop interactive marketing practices for making connections with target consumers that capitalize consumer-to-consumer communications for generating product adoption. Opinion mining is employed in marketing to help consumers and enterprises in the analysis of online consumers' reviews by highlighting the strengths and weaknesses of the products. This paper describes an opinion mining system based on novel review and feature ranking methods to empower consumers and enterprises for identifying critical product features from enormous consumers' reviews. Consumers and business analysts are the main target group for the proposed system who want to explore consumers' feedback for determining purchase decisions and enterprise strategies. We evaluate the proposed system on real dataset. Results show that integration of review and feature-ranking methods improves the decision making processes significantly. PMID:25506612

Structural features that predict real-value fluctuations of globular proteins.

Science.gov (United States)

Jamroz, Michal; Kolinski, Andrzej; Kihara, Daisuke

2012-05-01

It is crucial to consider dynamics for understanding the biological function of proteins. We used a large number of molecular dynamics (MD) trajectories of nonhomologous proteins as references and examined static structural features of proteins that are most relevant to fluctuations. We examined correlation of individual structural features with fluctuations and further investigated effective combinations of features for predicting the real value of residue fluctuations using the support vector regression (SVR). It was found that some structural features have higher correlation than crystallographic B-factors with fluctuations observed in MD trajectories. Moreover, SVR that uses combinations of static structural features showed accurate prediction of fluctuations with an average Pearson's correlation coefficient of 0.669 and a root mean square error of 1.04 Å. This correlation coefficient is higher than the one observed in predictions by the Gaussian network model (GNM). An advantage of the developed method over the GNMs is that the former predicts the real value of fluctuation. The results help improve our understanding of relationships between protein structure and fluctuation. Furthermore, the developed method provides a convienient practial way to predict fluctuations of proteins using easily computed static structural features of proteins. Copyright © 2012 Wiley Periodicals, Inc.

Sustained helping without obligation: motivation, longevity of service, and perceived attitude change among AIDS volunteers.

Science.gov (United States)

Omoto, A M; Snyder, M

1995-04-01

A conceptual framework that identifies psychological and behavioral features associated with antecedents, experiences, and consequences of volunteerism is presented, and an inventory that measures 5 specific motivations for AIDS volunteerism is developed and cross-validated. Then a field study of 116 AIDS volunteers is presented in which a helping disposition, volunteer motivations, and social support (as antecedents), and personal satisfaction and organizational integration (as experiences) are used to predict duration of service over 2 1/2 years. Structural equation analyses indicate that dispositional helping influences satisfaction and integration but not duration of service, whereas greater motivation and less social support predict longer active volunteer service. The model is generalized to the prediction of perceived attitude change. Implications for conceptualizations of motivation, theoretical issues in helping, and practical concerns of volunteer organizations are discussed.

Predicting protein amidation sites by orchestrating amino acid sequence features

Science.gov (United States)

Zhao, Shuqiu; Yu, Hua; Gong, Xiujun

2017-08-01

Amidation is the fourth major category of post-translational modifications, which plays an important role in physiological and pathological processes. Identifying amidation sites can help us understanding the amidation and recognizing the original reason of many kinds of diseases. But the traditional experimental methods for predicting amidation sites are often time-consuming and expensive. In this study, we propose a computational method for predicting amidation sites by orchestrating amino acid sequence features. Three kinds of feature extraction methods are used to build a feature vector enabling to capture not only the physicochemical properties but also position related information of the amino acids. An extremely randomized trees algorithm is applied to choose the optimal features to remove redundancy and dependence among components of the feature vector by a supervised fashion. Finally the support vector machine classifier is used to label the amidation sites. When tested on an independent data set, it shows that the proposed method performs better than all the previous ones with the prediction accuracy of 0.962 at the Matthew's correlation coefficient of 0.89 and area under curve of 0.964.

DYNAMIC FEATURE SELECTION FOR WEB USER IDENTIFICATION ON LINGUISTIC AND STYLISTIC FEATURES OF ONLINE TEXTS

Directory of Open Access Journals (Sweden)

A. A. Vorobeva

2017-01-01

Full Text Available The paper deals with identification and authentication of web users participating in the Internet information processes (based on features of online texts.In digital forensics web user identification based on various linguistic features can be used to discover identity of individuals, criminals or terrorists using the Internet to commit cybercrimes. Internet could be used as a tool in different types of cybercrimes (fraud and identity theft, harassment and anonymous threats, terrorist or extremist statements, distribution of illegal content and information warfare. Linguistic identification of web users is a kind of biometric identification, it can be used to narrow down the suspects, identify a criminal and prosecute him. Feature set includes various linguistic and stylistic features extracted from online texts. We propose dynamic feature selection for each web user identification task. Selection is based on calculating Manhattan distance to k-nearest neighbors (Relief-f algorithm. This approach improves the identification accuracy and minimizes the number of features. Experiments were carried out on several datasets with different level of class imbalance. Experiment results showed that features relevance varies in different set of web users (probable authors of some text; features selection for each set of web users improves identification accuracy by 4% at the average that is approximately 1% higher than with the use of static set of features. The proposed approach is most effective for a small number of training samples (messages per user.

Asking for Help: A Relational Perspective on Help Seeking in the Workplace

Science.gov (United States)

van der Rijt, Janine; Van den Bossche, Piet; van de Wiel, Margje W. J.; De Maeyer, Sven; Gijselaers, Wim H.; Segers, Mien S. R.

2013-01-01

In the context of the complexity of today's organizations, help seeking behavior is considered as an important step to problem solving and learning in organizations. Yet, help seeking has received less attention in organizational literature. To increase the potential impact of help seeking on learning, it is essential to understand which…

Saliency image of feature building for image quality assessment

Science.gov (United States)

Ju, Xinuo; Sun, Jiyin; Wang, Peng

2011-11-01

The purpose and method of image quality assessment are quite different for automatic target recognition (ATR) and traditional application. Local invariant feature detectors, mainly including corner detectors, blob detectors and region detectors etc., are widely applied for ATR. A saliency model of feature was proposed to evaluate feasibility of ATR in this paper. The first step consisted of computing the first-order derivatives on horizontal orientation and vertical orientation, and computing DoG maps in different scales respectively. Next, saliency images of feature were built based auto-correlation matrix in different scale. Then, saliency images of feature of different scales amalgamated. Experiment were performed on a large test set, including infrared images and optical images, and the result showed that the salient regions computed by this model were consistent with real feature regions computed by mostly local invariant feature extraction algorithms.

Image feature detectors and descriptors foundations and applications

CERN Document Server

Hassaballah, Mahmoud

2016-01-01

This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition. .

Dengue encephalitis with predominant cerebellar involvement: Report of eight cases with MR and CT imaging features

Energy Technology Data Exchange (ETDEWEB)

Hegde, Vinay; Bhat, Maya; Prasad, Chandrajit; Gupta, A.K.; Saini, Jitender [National Institute of Mental Health and Neurosciences, Department of Neuroimaging and Interventional Radiology, Bangalore, Karnataka (India); Aziz, Zarina [Sri Sathya Sai Institute of Medical Science, Department of Radiology, Bangalore (India); Kumar, Sharath [Apollo Hospital, Department of Neuroradiology, Bangalore (India); Netravathi, M. [National Institute of Mental Health and Neurosciences, Department of Neurology, Bangalore (India)

2014-11-01

CNS dengue infection is a rare condition and the pattern of brain involvement has not been well described. We report the MR imaging (MRI) features in eight cases of dengue encephalitis. We retrospectively searched cases of dengue encephalitis in which imaging was performed. Eight cases (three men, five women; age range: 8-42 years) diagnosed with dengue encephalitis were included in the study. MR studies were performed on 3-T and 1.5-T MR clinical systems. Two neuroradiologists retrospectively reviewed the MR images and analysed the type of lesions, as well as their distribution and imaging features. All eight cases exhibited MRI abnormalities and the cerebellum was involved in all cases. In addition, MRI signal changes were also noted in the brainstem, thalamus, basal ganglia, internal capsule, insula, mesial temporal lobe, and cortical and cerebral white matter. Areas of susceptibility, diffusion restriction, and patchy post-contrast enhancement were the salient imaging features in our cohort of cases. A pattern of symmetrical cerebellar involvement and presence of microbleeds/haemorrhage may serve as a useful imaging marker and may help in the diagnosis of dengue encephalitis. (orig.)

Dengue encephalitis with predominant cerebellar involvement: Report of eight cases with MR and CT imaging features

International Nuclear Information System (INIS)

Hegde, Vinay; Bhat, Maya; Prasad, Chandrajit; Gupta, A.K.; Saini, Jitender; Aziz, Zarina; Kumar, Sharath; Netravathi, M.

2015-01-01

CNS dengue infection is a rare condition and the pattern of brain involvement has not been well described. We report the MR imaging (MRI) features in eight cases of dengue encephalitis. We retrospectively searched cases of dengue encephalitis in which imaging was performed. Eight cases (three men, five women; age range: 8-42 years) diagnosed with dengue encephalitis were included in the study. MR studies were performed on 3-T and 1.5-T MR clinical systems. Two neuroradiologists retrospectively reviewed the MR images and analysed the type of lesions, as well as their distribution and imaging features. All eight cases exhibited MRI abnormalities and the cerebellum was involved in all cases. In addition, MRI signal changes were also noted in the brainstem, thalamus, basal ganglia, internal capsule, insula, mesial temporal lobe, and cortical and cerebral white matter. Areas of susceptibility, diffusion restriction, and patchy post-contrast enhancement were the salient imaging features in our cohort of cases. A pattern of symmetrical cerebellar involvement and presence of microbleeds/haemorrhage may serve as a useful imaging marker and may help in the diagnosis of dengue encephalitis. (orig.)

Vehicle barriers: emphasis on natural features

International Nuclear Information System (INIS)

Adams, K.G.; Roscoe, B.J.

1985-07-01

The recent increase in the use of car and truck bombs by terrorist organizations has led NRC to evaluate the adequacy of licensee security against such threats. As part of this evaluation, one of the factors is the effectiveness of terrain and vegetation in providing barriers against the vehicle entry. The effectiveness of natural features is presented in two contexts. First, certain natural features are presented. Second, the effectiveness of combinations of features is presented. In addition to the discussion of natural features, this report provides a discussion of methods to slow vehicles. Also included is an overview of man-made barrier systems, with particular attention to ditches. 17 refs., 49 figs

Ceramic substrate including thin film multilayer surface conductor

Science.gov (United States)

Wolf, Joseph Ambrose; Peterson, Kenneth A.

2017-05-09

A ceramic substrate comprises a plurality of ceramic sheets, a plurality of inner conductive layers, a plurality of vias, and an upper conductive layer. The ceramic sheets are stacked one on top of another and include a top ceramic sheet. The inner conductive layers include electrically conductive material that forms electrically conductive features on an upper surface of each ceramic sheet excluding the top ceramic sheet. The vias are formed in each of the ceramic sheets with each via being filled with electrically conductive material. The upper conductive layer includes electrically conductive material that forms electrically conductive features on an upper surface of the top ceramic sheet. The upper conductive layer is constructed from a stack of four sublayers. A first sublayer is formed from titanium. A second sublayer is formed from copper. A third sublayer is formed from platinum. A fourth sublayer is formed from gold.

Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management.

Science.gov (United States)

Firdaus, Ahmad; Anuar, Nor Badrul; Razak, Mohd Faizal Ab; Hashem, Ibrahim Abaker Targio; Bachok, Syafiq; Sangaiah, Arun Kumar

2018-05-04

The increasing demand for Android mobile devices and blockchain has motivated malware creators to develop mobile malware to compromise the blockchain. Although the blockchain is secure, attackers have managed to gain access into the blockchain as legal users, thereby comprising important and crucial information. Examples of mobile malware include root exploit, botnets, and Trojans and root exploit is one of the most dangerous malware. It compromises the operating system kernel in order to gain root privileges which are then used by attackers to bypass the security mechanisms, to gain complete control of the operating system, to install other possible types of malware to the devices, and finally, to steal victims' private keys linked to the blockchain. For the purpose of maximizing the security of the blockchain-based medical data management (BMDM), it is crucial to investigate the novel features and approaches contained in root exploit malware. This study proposes to use the bio-inspired method of practical swarm optimization (PSO) which automatically select the exclusive features that contain the novel android debug bridge (ADB). This study also adopts boosting (adaboost, realadaboost, logitboost, and multiboost) to enhance the machine learning prediction that detects unknown root exploit, and scrutinized three categories of features including (1) system command, (2) directory path and (3) code-based. The evaluation gathered from this study suggests a marked accuracy value of 93% with Logitboost in the simulation. Logitboost also helped to predicted all the root exploit samples in our developed system, the root exploit detection system (RODS).

Features in Grocery Stores that Motivate Shoppers to Buy Healthier Foods, ConsumerStyles 2014.

Science.gov (United States)

Moore, Latetia V; Pinard, Courtney A; Yaroch, Amy L

2016-08-01

We examined nine features in grocery stores shoppers reported motivated them to purchase more healthful foods in the past month. Features were compiled from common supermarket practices for each of the 4 Ps of marketing: pricing, placement, promotion, and product. We examined percentages of the features overall and by shopping frequency using Chi square tests from a 2014 cross sectional web-based health attitudes and behaviors survey, ConsumerStyles. The survey was fielded from June to July in 2014. Participants were part of a market research consumer panel that were randomly recruited by probability-based sampling using address-based sampling methods to achieve a sample representative of the U.S. Data from 4242 adults ages 18 and older were analyzed. About 44 % of respondents indicated at least one feature motivated them to purchase more healthful foods. Top choices included in-store coupons or specials (20.1 %), availability of convenient, ready-to-eat more healthful foods (18.8 %), product labels or advertising on packages (15.2 %), and labels or signs on shelves that highlighted more healthful options (14.6 %). Frequent shoppers reported being motivated to purchase more healthful foods by in-store tastings/recipe demonstrations and coupons/specials more often than infrequent shoppers. Enhancing the visibility and appeal of more healthful food items in grocery stores may help improve dietary choices in some populations but additional research is needed to identify the most effective strategies for interventions.

Features of a time domain simulation tool for rigid riser design

Energy Technology Data Exchange (ETDEWEB)

Morooka, Celso K.; Brandt, Dustin M. [Universidade Estadual de Campinas (UNICAMP), SP (Brazil). Faculdade de Engenharia Mecanica. Dept. de Engenharia de Petroleo; Matt, Cyntia G.C.; Franciss, Ricardo [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil). Centro de Pesquisas

2008-07-01

This paper present a number of numerical implementations designed for the analysis of rigid riser's static and dynamic behavior that includes the effects of vortex induced vibrations (VIV) and marine hydrodynamic loads in time domain. Features include the ability to consider pipe with a free-span utilizing a soil/riser interaction model. An implementation of a numerical coupling scheme to couple the vertical riser and platform dynamics was developed to allow prediction of the sub sea Blow-Out Preventer (BOP) re-entry into a sub sea petroleum well when drilling different phases of deep and ultra-deep wells. The developments contains support for the consideration of the Self Standing Hybrid Riser (SSHR) configuration which has been shown to be a promising riser configuration in deep and ultra-deep waters. A graphical interface was also created to better grasp the results and aid in the modeling, processing and to help analyze the numerical simulations, contributing to enhance agility and quality of the riser design and analysis processes. (author)

Understanding psychiatric disorder by capturing ecologically relevant features of learning and decision-making.

Science.gov (United States)

Scholl, Jacqueline; Klein-Flügge, Miriam

2017-09-28

Recent research in cognitive neuroscience has begun to uncover the processes underlying increasingly complex voluntary behaviours, including learning and decision-making. Partly this success has been possible by progressing from simple experimental tasks to paradigms that incorporate more ecological features. More specifically, the premise is that to understand cognitions and brain functions relevant for real life, we need to introduce some of the ecological challenges that we have evolved to solve. This often entails an increase in task complexity, which can be managed by using computational models to help parse complex behaviours into specific component mechanisms. Here we propose that using computational models with tasks that capture ecologically relevant learning and decision-making processes may provide a critical advantage for capturing the mechanisms underlying symptoms of disorders in psychiatry. As a result, it may help develop mechanistic approaches towards diagnosis and treatment. We begin this review by mapping out the basic concepts and models of learning and decision-making. We then move on to consider specific challenges that emerge in realistic environments and describe how they can be captured by tasks. These include changes of context, uncertainty, reflexive/emotional biases, cost-benefit decision-making, and balancing exploration and exploitation. Where appropriate we highlight future or current links to psychiatry. We particularly draw examples from research on clinical depression, a disorder that greatly compromises motivated behaviours in real-life, but where simpler paradigms have yielded mixed results. Finally, we highlight several paradigms that could be used to help provide new insights into the mechanisms of psychiatric disorders. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Toddlers Help a Peer.

Science.gov (United States)

Hepach, Robert; Kante, Nadine; Tomasello, Michael

2017-09-01

Toddlers are remarkably prosocial toward adults, yet little is known about their helping behavior toward peers. In the present study with 18- and 30-month-old toddlers (n = 192, 48 dyads per age group), one child needed help reaching an object to continue a task that was engaging for both children. The object was within reach of the second child who helped significantly more often compared to a no-need control condition. The helper also fulfilled the peer's need when the task was engaging only for the child needing help. These findings suggest that toddlers' skills and motivations of helping do not depend on having a competent and helpful recipient, such as an adult, but rather they are much more flexible and general. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

Mental health literacy measures evaluating knowledge, attitudes and help-seeking: a scoping review.

Science.gov (United States)

Wei, Yifeng; McGrath, Patrick J; Hayden, Jill; Kutcher, Stan

2015-11-17

Mental health literacy has received increasing attention as a useful strategy to promote early identification of mental disorders, reduce stigma and enhance help-seeking behaviors. However, despite the abundance of research on mental health literacy interventions, there is the absence of evaluations of current available mental health literacy measures and related psychometrics. We conducted a scoping review to bridge the gap. We searched PubMed, PsycINFO, Embase, CINAHL, Cochrane Library, and ERIC for relevant studies. We only focused on quantitative studies and English publications, however, we didn't limit study participants, locations, or publication dates. We excluded non-English studies, and did not check the grey literature (non peer-reviewed publications or documents of any type) and therefore may have missed some eligible measures. We located 401 studies that include 69 knowledge measures (14 validated), 111 stigma measures (65 validated), and 35 help-seeking related measures (10 validated). Knowledge measures mainly investigated the ability of illness identification, and factual knowledge of mental disorders such as terminology, etiology, diagnosis, prognosis, and consequences. Stigma measures include those focused on stigma against mental illness or the mentally ill; self-stigma ; experienced stigma; and stigma against mental health treatment and help-seeking. Help-seeking measures included those of help-seeking attitudes, intentions to seek help, and actual help-seeking behaviors. Our review provides a compendium of available mental health literacy measures to facilitate applying existing measures or developing new measures. It also provides a solid database for future research on systematically assessing the quality of the included measures.

The first missense mutation of NHS gene in a Tunisian family with clinical features of NHS syndrome including cardiac anomaly.

Science.gov (United States)

Chograni, Manèl; Rejeb, Imen; Jemaa, Lamia Ben; Châabouni, Myriam; Bouhamed, Habiba Chaabouni

2011-08-01

Nance-Horan Syndrome (NHS) or X-linked cataract-dental syndrome is a disease of unknown gene action mechanism, characterized by congenital cataract, dental anomalies, dysmorphic features and, in some cases, mental retardation. We performed linkage analysis in a Tunisian family with NHS in which affected males and obligate carrier female share a common haplotype in the Xp22.32-p11.21 region that contains the NHS gene. Direct sequencing of NHS coding exons and flanking intronic sequences allowed us to identify the first missense mutation (P551S) and a reported SNP-polymorphism (L1319F) in exon 6, a reported UTR-SNP (c.7422 C>T) and a novel one (c.8239 T>A) in exon 8. Both variations P551S and c.8239 T>A segregate with NHS phenotype in this family. Although truncations, frame-shift and copy number variants have been reported in this gene, no missense mutations have been found to segregate previously. This is the first report of a missense NHS mutation causing NHS phenotype (including cardiac defects). We hypothesize also that the non-reported UTR-SNP of the exon 8 (3'-UTR) is specific to the Tunisian population.

Multimodal Feature Learning for Video Captioning

Directory of Open Access Journals (Sweden)

Sujin Lee

2018-01-01

Full Text Available Video captioning refers to the task of generating a natural language sentence that explains the content of the input video clips. This study proposes a deep neural network model for effective video captioning. Apart from visual features, the proposed model learns additionally semantic features that describe the video content effectively. In our model, visual features of the input video are extracted using convolutional neural networks such as C3D and ResNet, while semantic features are obtained using recurrent neural networks such as LSTM. In addition, our model includes an attention-based caption generation network to generate the correct natural language captions based on the multimodal video feature sequences. Various experiments, conducted with the two large benchmark datasets, Microsoft Video Description (MSVD and Microsoft Research Video-to-Text (MSR-VTT, demonstrate the performance of the proposed model.

Extract the Relational Information of Static Features and Motion Features for Human Activities Recognition in Videos

Directory of Open Access Journals (Sweden)

Li Yao

2016-01-01

Full Text Available Both static features and motion features have shown promising performance in human activities recognition task. However, the information included in these features is insufficient for complex human activities. In this paper, we propose extracting relational information of static features and motion features for human activities recognition. The videos are represented by a classical Bag-of-Word (BoW model which is useful in many works. To get a compact and discriminative codebook with small dimension, we employ the divisive algorithm based on KL-divergence to reconstruct the codebook. After that, to further capture strong relational information, we construct a bipartite graph to model the relationship between words of different feature set. Then we use a k-way partition to create a new codebook in which similar words are getting together. With this new codebook, videos can be represented by a new BoW vector with strong relational information. Moreover, we propose a method to compute new clusters from the divisive algorithm’s projective function. We test our work on the several datasets and obtain very promising results.

Specific Features in Accessing European Funding

Directory of Open Access Journals (Sweden)

Elena Alexandra CĂLDĂRARU

2011-12-01

Full Text Available Abstract: European Funds are the European Union financial instruments in order to assist Member States in reducing the existing disparities between regions and between countries, and for harmonization with the economic, social and cultural European standards. This paper intends to present some general characteristics applicable to the most important financing programs, and also to outline certain features of the main financing lines, referring to investment projects development and their implementation, based on the Applicant Guides analysis. The paper treats institutional, legal, financial, technical, social and environmental aspects and outlines proposals and recommendations to achieve a better EU funds absorption and also a higher success rate of initiated projects. In knowledge-based economy circumstances, training consultancy specialists, that represent the intellectual capital in this area, will ensure the professional management of the developing process, submission and ongoing competitive projects, and will help enhance the funds absorption at national level. Thus, the European support for investments in ensuring sustainable growth will help overcoming the difficulties encountered by our country, and will sustain the Romanian economy recovery.

Mining Videos for Features that Drive Attention

Science.gov (United States)

2015-04-01

that can be added or removed from the final saliency computation. Examples of these features include intensity contrast, motion energy , color opponent...corresponding to the image. Each pixel in the feature map indicates the energy that the feature in question contributes at that location. In the standard...eye and head animation using a neurobio - logical model of visual attention. In: Bosacchi B, Fogel DB, Bezdek JC (eds) Proceedings of SPIE 48th annual

Specific features of the REDUCE system and calculation of QCD Feynman graphs

International Nuclear Information System (INIS)

Dulyan, L.S.

1990-01-01

The ways and methods used in calculation of one class of the QCD Feynman graphs with the help of the REDUCE system are described. It is shown how by introducing new constructions and operations the user could avoid difficulties connected with specific restrictions and features of the REDUCE system

The newly expanded KSC Visitors Complex features a new ticket plaza, information center, exhibits an

Science.gov (United States)

1999-01-01

The newly added Robot Scouts exhibit at the KSC Visitor Complex is situated next to the Rocket Garden. Part of the $13 million expansion to the Visitor Complex, the exhibit helps describe for visitors the accomplishments of unsung space heroes - space probes - and their role in space exploration. It also includes a display of how data from robotic probes might be used to build a human habitat for Mars. Visitors can witness a simulated Martian sunset. Other additions include a new foyer, films, and an International Space Station-themed ticket plaza, featuring a structure of overhanging solar panels and astronauts performing assembly tasks. The KSC Visitor Complex was inaugurated three decades ago and is now one of the top five tourist attractions in Florida. It is located on S.R. 407, east of I-95, within the Merritt Island National Wildlife Refuge.

An Ensemble of Classifiers based Approach for Prediction of Alzheimer's Disease using fMRI Images based on Fusion of Volumetric, Textural and Hemodynamic Features

Directory of Open Access Journals (Sweden)

MALIK, F.

2018-02-01

Full Text Available Alzheimer's is a neurodegenerative disease caused by the destruction and death of brain neurons resulting in memory loss, impaired thinking ability, and in certain behavioral changes. Alzheimer disease is a major cause of dementia and eventually death all around the world. Early diagnosis of the disease is crucial which can help the victims to maintain their level of independence for comparatively longer time and live a best life possible. For early detection of Alzheimer's disease, we are proposing a novel approach based on fusion of multiple types of features including hemodynamic, volumetric and textural features of the brain. Our approach uses non-invasive fMRI with ensemble of classifiers, for the classification of the normal controls and the Alzheimer patients. For performance evaluation, ten-fold cross validation is used. Individual feature sets and fusion of features have been investigated with ensemble classifiers for successful classification of Alzheimer's patients from normal controls. It is observed that fusion of features resulted in improved results for accuracy, specificity and sensitivity.

Conversation analysis can help to distinguish between epilepsy and non-epileptic seizure disorders: a case comparison.

Science.gov (United States)

Plug, Leendert; Sharrack, Basil; Reuber, Markus

2009-01-01

Factual items in patients' histories are of limited discriminating value in the differential diagnosis of epilepsy and non-epileptic seizures (NES). A number of studies using a transcript-based sociolinguistic research method inspired by Conversation Analysis (CA) suggest that it is helpful to focus on how patients talk. Previous reports communicated these findings by using particularly clear examples of diagnostically relevant interactional, linguistic and topical features from different patients. They did not discuss the sequential display of different features although this is crucially important from a conversation analytic point of view. This case comparison aims to show clinicians how the discriminating features are displayed by individual patients over the course of a clinical encounter. CA-inspired brief sequential analysis of two first 30-min doctor-patient encounters by a linguist blinded to all medical information. A gold standard diagnosis was made by the recording of a typical seizure with video-EEG. The patient with epilepsy volunteered detailed first person accounts of seizures. The NES patient exhibited resistance to focusing on individual seizure episodes and only provided a detailed seizure description after repeated prompting towards the end of the interview. Although both patients also displayed some linguistic features favouring the alternative diagnosis, the linguist's final diagnostic hypothesis matched the diagnosis made by video-EEG in both cases. This study illustrates the importance of the time point at which patients share information with the doctor. It supports the notion that close attention to how patients communicate can help in the differential diagnosis of seizures.

The 'good is light' and 'bad is dark' metaphor in feature films

NARCIS (Netherlands)

Forceville, C.J.; Renckens, T.

2013-01-01

Light and darkness can be used metaphorically to help structure GOOD and BAD in all media, but film is particularly suitable for exploiting such metaphors. On the basis of examples from three feature films, we discuss in what way the metaphor functions in general and suggest how it allows for a

Intraductal papillary mucinous neoplasms of the pancreas: Correlation of helical CT features with pathologic findings

International Nuclear Information System (INIS)

Liu Yu; Lin Xiaozhu; Upadhyaya, Manavendra; Song Qi; Chen Kemin

2010-01-01

Objective: To evaluate the CT features of intraductal papillary mucinous neoplasms of the pancreas (IPMNs), and to compare with pathological findings in order to identify CT features that can be helpful in differentiating benign IPMNs from malignant IPMNs. Materials and methods: The CT findings in 25 patients were reviewed for tumor location, tumor type, dilatation of the main pancreatic duct (MPD), MPD involvement, mural node or solid attenuating component, tumor size in branch duct or mixed duct type, dilatation of common bile duct (CBD) and invasion of surrounding structures. The data was subjected to Chi-Square Tests or Fisher's Exact Test using SPSS13.0 software with p value < 0.05 indicating significant statistical difference. Results: Presence of mural node or solid enhancing component, size of mural node or solid enhancing component ≥7 mm, dilatation of CBD was more common in malignant IPMNs (p < 0.05). None of tumor location, tumor type, dilatation of MPD, MPD involvement, tumor size, and invasion of surrounding structures was statistically significant in differentiating benign from malignant IPMNs. Conclusions: CT features suggestive of malignant or invasive IPMNs include presence of mural node or solid enhancing component, size of mural node or solid enhancing component ≥7 mm, and dilatation of CBD.

How do you select the right security features for your company's products

Science.gov (United States)

Pickett, Gordon E.

1998-04-01

If your company manufacturers, supplies, or distributes products of almost any type, style, shape, or for any usage, they may become the objective of fraudulent activities from one or more sources. Therefore, someone at your company should be concerned about how these activities may affect the company's future. This paper/presentation will provide information about where these 'threats' may come from, what products have been compromised in the past, and what steps might be taken to deter these threats. During product security conferences, conversations, and other sources of information, you'll hear about many different types of security features that can be incorporated into monetary and identification documents, packaging, labeling, and other products/systems to help protect against counterfeiting, unauthorized tampering, or to identify 'genuine' products. Many of these features have been around for some time (which means that they may have lost at least some of their effectiveness) while others, or improved versions of some of the more mature features, have been or are being developed. This area is a 'moving target' and re-examination of the threats and counterthreats needs to be an ongoing activity. The 'value' and the capabilities of these features can sometimes be overstated, i.e. that a feature/system can solve all of the security-related problems that you may (or may not) have with your products. A couple of things to always keep in mind is that no feature(s) is universally effective and none of the features, or even combinations of features, is totally 'tamperproof' or counterfeitproof, irrespective of what may be said or claimed. So how do you go about determining if you have a product security problem and what, if any, security features might be used to reduce the threat(s) to your products? This paper will attempt to provide information to help you separate the 'wheat from the chaff' in these considerations. Specifically, information to be discussed in

How Different Insights from a Variety of Theories Might Help Ethical Decision-Making in Educational Counselling

Science.gov (United States)

Tveit, Anne Dorthe; Sunde, Annikken Louise

2016-01-01

The purpose of this paper is to explore how different insights from a variety of theories might help ethical decision making in educational counselling and highlight the need for reflection. A framework for ethical decision making based on basic features of counselling, namely the interlocutors' practice or "acts", is proposed. There are…

Present SLAC accelerator computer control system features

International Nuclear Information System (INIS)

Davidson, V.; Johnson, R.

1981-02-01

The current functional organization and state of software development of the computer control system of the Stanford Linear Accelerator is described. Included is a discussion of the distribution of functions throughout the system, the local controller features, and currently implemented features of the touch panel portion of the system. The functional use of our triplex of PDP11-34 computers sharing common memory is described. Also included is a description of the use of pseudopanel tables as data tables for closed loop control functions

LC-IMS-MS Feature Finder: detecting multidimensional liquid chromatography, ion mobility and mass spectrometry features in complex datasets.

Science.gov (United States)

Crowell, Kevin L; Slysz, Gordon W; Baker, Erin S; LaMarche, Brian L; Monroe, Matthew E; Ibrahim, Yehia M; Payne, Samuel H; Anderson, Gordon A; Smith, Richard D

2013-11-01

The addition of ion mobility spectrometry to liquid chromatography-mass spectrometry experiments requires new, or updated, software tools to facilitate data processing. We introduce a command line software application LC-IMS-MS Feature Finder that searches for molecular ion signatures in multidimensional liquid chromatography-ion mobility spectrometry-mass spectrometry (LC-IMS-MS) data by clustering deisotoped peaks with similar monoisotopic mass, charge state, LC elution time and ion mobility drift time values. The software application includes an algorithm for detecting and quantifying co-eluting chemical species, including species that exist in multiple conformations that may have been separated in the IMS dimension. LC-IMS-MS Feature Finder is available as a command-line tool for download at http://omics.pnl.gov/software/LC-IMS-MS_Feature_Finder.php. The Microsoft.NET Framework 4.0 is required to run the software. All other dependencies are included with the software package. Usage of this software is limited to non-profit research to use (see README). rds@pnnl.gov. Supplementary data are available at Bioinformatics online.

Predicting help-seeking behavior: The impact of knowing someone close who has sought help.

Science.gov (United States)

Disabato, David J; Short, Jerome L; Lameira, Diane M; Bagley, Karen D; Wong, Stephanie J

2018-02-15

This study sought to replicate and extend research on social facilitators of college student's help seeking for psychological problems. We collected data on 420 ethnically diverse college students at a large public university (September 2008-May 2010). Students completed a cross-sectional online survey. We found that students who were aware of close others' (eg, family, friends) help seeking were two times more likely to have sought formal (eg, psychologist) and informal (eg, clergy) help themselves. Tests of moderation revealed the incremental effect (ie, controlling for help-seeking attitudes, internalizing symptoms, cultural demographics) of close others' formal help seeking was strong and significant for men (R 2 = 0.112), while it was negligible and nonsignificant for women (R 2 = .002). We discuss the importance for students-particularly men-to learn about close others' help seeking for facilitating their own help seeking during times of distress.

SOME FEATURES OF CONTROL STAFF TURNOVER IN PERSONNEL MANAGEMENT

Directory of Open Access Journals (Sweden)

S. N. Kaznacheeva

2015-01-01

Full Text Available The author refers to the decision of the actual problem of staff turnover in the transformation of the Russian economy. In light of the problem of the effectiveness of human resources management the author indicates the most frequent problems faced by the company and focus on the problem of staff turnover. The author presents a different interpretation, defining "Marketing personnel" as a kind of administrative activity aimed at ensuring the long-term organization of human resources (identifying staffing needs, and these needs, that is, covering the organization's needs for personnel. It highlights the main features and distinctive features of marketing staff. We consider the objective (external and subjective reasons (internal reasons for staff turnover. The author proposes a number of measures to help identify the causes of turnover.

Reaction Decoder Tool (RDT): extracting features from chemical reactions.

Science.gov (United States)

Rahman, Syed Asad; Torrance, Gilliean; Baldacci, Lorenzo; Martínez Cuesta, Sergio; Fenninger, Franz; Gopal, Nimish; Choudhary, Saket; May, John W; Holliday, Gemma L; Steinbeck, Christoph; Thornton, Janet M

2016-07-01

Extracting chemical features like Atom-Atom Mapping (AAM), Bond Changes (BCs) and Reaction Centres from biochemical reactions helps us understand the chemical composition of enzymatic reactions. Reaction Decoder is a robust command line tool, which performs this task with high accuracy. It supports standard chemical input/output exchange formats i.e. RXN/SMILES, computes AAM, highlights BCs and creates images of the mapped reaction. This aids in the analysis of metabolic pathways and the ability to perform comparative studies of chemical reactions based on these features. This software is implemented in Java, supported on Windows, Linux and Mac OSX, and freely available at https://github.com/asad/ReactionDecoder : asad@ebi.ac.uk or s9asad@gmail.com. © The Author 2016. Published by Oxford University Press.

Improving mass candidate detection in mammograms via feature maxima propagation and local feature selection.

Science.gov (United States)

Melendez, Jaime; Sánchez, Clara I; van Ginneken, Bram; Karssemeijer, Nico

2014-08-01

Mass candidate detection is a crucial component of multistep computer-aided detection (CAD) systems. It is usually performed by combining several local features by means of a classifier. When these features are processed on a per-image-location basis (e.g., for each pixel), mismatching problems may arise while constructing feature vectors for classification, which is especially true when the behavior expected from the evaluated features is a peaked response due to the presence of a mass. In this study, two of these problems, consisting of maxima misalignment and differences of maxima spread, are identified and two solutions are proposed. The first proposed method, feature maxima propagation, reproduces feature maxima through their neighboring locations. The second method, local feature selection, combines different subsets of features for different feature vectors associated with image locations. Both methods are applied independently and together. The proposed methods are included in a mammogram-based CAD system intended for mass detection in screening. Experiments are carried out with a database of 382 digital cases. Sensitivity is assessed at two sets of operating points. The first one is the interval of 3.5-15 false positives per image (FPs/image), which is typical for mass candidate detection. The second one is 1 FP/image, which allows to estimate the quality of the mass candidate detector's output for use in subsequent steps of the CAD system. The best results are obtained when the proposed methods are applied together. In that case, the mean sensitivity in the interval of 3.5-15 FPs/image significantly increases from 0.926 to 0.958 (p < 0.0002). At the lower rate of 1 FP/image, the mean sensitivity improves from 0.628 to 0.734 (p < 0.0002). Given the improved detection performance, the authors believe that the strategies proposed in this paper can render mass candidate detection approaches based on image location classification more robust to feature

Toward Generating More Diagnostic Features from Photoplethysmogram Waveforms.

Science.gov (United States)

Elgendi, Mohamed; Liang, Yongbo; Ward, Rabab

2018-03-11

Photoplethysmogram (PPG) signals collected using a pulse oximeter are increasingly being used for screening and diagnosis purposes. Because of the non-invasive, cost-effective, and easy-to-use nature of the pulse oximeter, clinicians and biomedical engineers are investigating how PPG signals can help in the management of many medical conditions, especially for global health application. The study of PPG signal analysis is relatively new compared to research in electrocardiogram signals, for instance; however, we anticipate that in the near future blood pressure, cardiac output, and other clinical parameters will be measured from wearable devices that collect PPG signals, based on the signal's vast potential. This article attempts to organize and standardize the names of PPG waveforms to ensure consistent terminologies, thereby helping the rapid developments in this research area, decreasing the disconnect within and among different disciplines, and increasing the number of features generated from PPG waveforms.

Passive safety features in current and future water cooled reactors

International Nuclear Information System (INIS)

1990-11-01

Better understanding of the passive safety systems and components in current and future water-cooled reactors may enhance the safety of present reactors, to the extend passive features are backfitted. This better understanding should also improve the safety of future reactors, which can incorporate more of these features. Passive safety systems and components may help to prevent accidents, core damage, or release radionuclides to the environment. The Technical Committee Meeting which was hosted by the USSR State Committee for Utilization of Nuclear Energy was attended by about 80 experts from 16 IAEA Member States and the NEA-OECD. A total of 21 papers were presented during the meeting. The objective of the meeting was to review and discuss passive safety systems and features of current and future water cooled reactor designs and to exchange information in this area of activity. A separate abstract was prepared for each of the 21 papers published in this proceedings. Refs, figs and tabs

College Students Rarely Seek Help Despite Serious Substance Use Problems

Science.gov (United States)

Caldeira, Kimberly M.; Kasperski, Sarah J.; Sharma, Eva; Vincent, Kathryn B.; O’Grady, Kevin E.; Wish, Eric D.; Arria, Amelia M.

2009-01-01

The prevalence of substance use disorders (SUD) and aspects of the help-seeking process among a high-risk sample of 946 students at one large public university were assessed in personal interviews during the first three years of college. After statistically adjusting for purposive sampling, an estimated 46.8%wt of all third-year students met DSM-IV criteria for SUD involving alcohol and/or marijuana at least once. Of 548 SUD cases, 3.6% perceived a need for help with substance use problems; 16.4% were encouraged by someone else to seek help. Help-seeking was rare among SUD cases (8.8%), but significantly elevated among individuals who perceived a need (90.0%) or experienced social pressures from parents (32.5%), friends (34.2%), or another person (58.3%). Resources accessed for help included educational programs (38%), health professionals (27%), and twelve-step programs (19%). College students have high rates of substance use problems but rarely recognize a need for treatment or seek help. Results highlight the opportunity for early intervention with college students with SUD. PMID:19553064

Morphohistological Features of Pancreatic Stump Are the Main Determinant of Pancreatic Fistula after Pancreatoduodenectomy

Directory of Open Access Journals (Sweden)

Cristina Ridolfi

2014-01-01

Full Text Available Introduction. Pancreatic surgery is challenging and associated with high morbidity, mainly represented by postoperative pancreatic fistula (POPF and its further consequences. Identification of risk factors for POPF is essential for proper postoperative management. Aim of the Study. Evaluation of the role of morphological and histological features of pancreatic stump, other than main pancreatic duct diameter and glandular texture, in POPF occurrence after pancreaticoduodenectomy. Patients and Methods. Between March 2011 and April 2013, we performed 145 consecutive pancreaticoduodenectomies. We intraoperatively recorded morphological features of pancreatic stump and collected data about postoperative morbidity. Our dedicated pathologist designed a score to quantify fibrosis and inflammation of pancreatic tissue. Results. Overall morbidity was 59,3%. Mortality was 4,1%. POPF rate was 28,3%, while clinically significant POPF were 15,8%. Male sex (P=0.009, BMI≥25 (P=0.002, prolonged surgery (P=0.001, soft pancreatic texture (P<0.001, small pancreatic duct (P<0.001, pancreatic duct decentralization on stump anteroposterior axis, especially if close to the posterior margin (P=0.031, large stump area (P=0.001, and extended stump mobilization (P=0.001 were related to higher POPF rate. Our fibrosis-and-inflammation score is strongly associated with POPF (P=0.001. Discussion and Conclusions. Pancreatic stump features evaluation, including histology, can help the surgeon in fitting postoperative management to patient individual risk after pancreaticoduodenectomy.

Pneumococcal pneumonia: clinical features, diagnosis and management in HIV-infected and HIV noninfected patients.

Science.gov (United States)

Madeddu, Giordano; Fois, Alessandro Giuseppe; Pirina, Pietro; Mura, Maria Stella

2009-05-01

In this review, we focus on the clinical features, diagnosis and management of pneumococcal pneumonia in HIV-infected and noninfected patients, with particular attention to the most recent advances in this area. Classical clinical features are found in young adults, whereas atypical forms occur in immunocompromised patients including HIV-infected individuals. Bacteremic pneumococcal pneumonia is more frequently observed in HIV-infected and also in low-risk patients, according to the Pneumonia Severity Index (PSI). Pneumococcal pneumonia diagnostic process includes physical examination, radiologic findings and microbiologic diagnosis. However, etiologic diagnosis using traditional culture methods is difficult to obtain. In this setting, urinary antigen test, which recognizes Streptococcus pneumoniae cell wall C-polysaccharide, increases the probability of etiologic diagnosis. A correct management approach is crucial in reducing pneumococcal pneumonia mortality. The use of the PSI helps clinicians in deciding between inpatient and outpatient management in immunocompetent individuals, according to Infectious Diseases Society of America (IDSA)-American Thoracic Society (ATS) guidelines. Recent findings support PSI utility also in HIV-infected patients. Recently, efficacy of pneumococcal vaccine in reducing pneumococcal disease incidence has been evidenced in both HIV-infected and noninfected individuals. Rapid diagnosis and correct management together with implementation of preventive measures are crucial in order to reduce pneumococcal pneumonia related incidence and mortality in HIV-infected and noninfected patients.

E-recruiting Platforms: Features that Influence the Efficiency of Online Recruitment Systems

OpenAIRE

Ondina ROSOIU; Cristian POPESCU

2016-01-01

Twenty active e-recruitment platform users took part in this study for discovering the most asked for features in a web based hiring process. The respondents were chosen based on their history on such recruitment platforms. With the help of our Internet users we narrowed down the number of platforms, to research for outstanding features and tool efficiency, to five most impressive ones (e-jobs, hipo, bestjobs, LinkedIn, Freelancer). The results were as useful as we expected when we proposed a...

Insomnia patients' help-seeking experiences.

Science.gov (United States)

Cheung, Janet M Y; Bartlett, Delwyn J; Armour, Carol L; Glozier, Nicholas; Saini, Bandana

2014-03-04

Timely access to appropriate treatment is important for optimizing insomnia management. To date, little is known about insomnia patients' treatment experiences or how they access and engage with the available health care resources. This study sought to capture the help-seeking experiences and behavioral patterns of patients with insomnia who are seeking or receiving specialist care. A purposive sample of 26 insomnia patients from specialist sleep and mental health clinics located in metropolitan New South Wales, Australia was recruited. Participants completed a brief questionnaire, followed by an in-depth, semi-structured interview. Interviews were digitally recorded, transcribed verbatim, and analyzed using framework analysis. Three key themes emerged from the data: patients' sleep beliefs, treatment beliefs, and accessing specialized care. The findings show that daytime symptoms arising from insomnia serve as important illness cues for patients to seek medical help. In addition, participants' treatment pathways highlight factors that prevent the widespread use of cognitive behavioral therapy for insomnia (CBT-I), including limited awareness about CBT-I, tentative referral mechanisms, limited service providers, and the high cost of CBT-I.

Prostatic adenocarcinoma with glomeruloid features.

Science.gov (United States)

Pacelli, A; Lopez-Beltran, A; Egan, A J; Bostwick, D G

1998-05-01

A wide variety of architectural patterns of adenocarcinoma may be seen in the prostate. We have recently encountered a hitherto-undescribed pattern of growth characterized by intraluminal ball-like clusters of cancer cells reminiscent of renal glomeruli, which we refer to as prostatic adenocarcinoma with glomeruloid features. To define the architectural features, frequency, and distribution of prostatic adenocarcinoma with glomeruloid features, we reviewed 202 totally embedded radical prostatectomy specimens obtained between October 1992 and April 1994 from the files of the Mayo Clinic. This series was supplemented by 100 consecutive needle biopsies with prostatic cancer from January to February 1996. Prostatic adenocarcinoma with glomeruloid features was characterized by round to oval epithelial tufts growing within malignant acini, often supported by a fibrovascular core. The epithelial cells were sometimes arranged in semicircular concentric rows separated by clefted spaces. In the radical prostatectomy specimens, nine cases (4.5%) had glomeruloid features. The glomeruloid pattern constituted 5% to 20% of each cancer (mean, 8.33%) and was usually located at the apex or in the peripheral zone of the prostate. Seven cases were associated with a high Gleason score (7 or 8), one with a score of 6, and one with a score of 5. All cases were associated with high-grade prostatic intraepithelial neoplasia and extensive perineural invasion. Pathological stages included T2c (three cases), T3b (four cases), and T3c (two cases); one of the T3b cases had lymph node metastases (N1). Three (3%) of 100 consecutive routine needle biopsy specimens with cancer showed glomeruloid features, and this pattern constituted 5% to 10% of each cancer (mean, 6.7%). The Gleason score was 6 for two cases and 8 for one case. Two cases were associated with high-grade prostatic intraepithelial neoplasia, and one case had perineural invasion. Glomeruloid features were not observed in any benign or

A prototype feature system for feature retrieval using relationships

Science.gov (United States)

Choi, J.; Usery, E.L.

2009-01-01

Using a feature data model, geographic phenomena can be represented effectively by integrating space, theme, and time. This paper extends and implements a feature data model that supports query and visualization of geographic features using their non-spatial and temporal relationships. A prototype feature-oriented geographic information system (FOGIS) is then developed and storage of features named Feature Database is designed. Buildings from the U.S. Marine Corps Base, Camp Lejeune, North Carolina and subways in Chicago, Illinois are used to test the developed system. The results of the applications show the strength of the feature data model and the developed system 'FOGIS' when they utilize non-spatial and temporal relationships in order to retrieve and visualize individual features.

Ontology patterns for complex topographic feature yypes

Science.gov (United States)

Varanka, Dalia E.

2011-01-01

Complex feature types are defined as integrated relations between basic features for a shared meaning or concept. The shared semantic concept is difficult to define in commonly used geographic information systems (GIS) and remote sensing technologies. The role of spatial relations between complex feature parts was recognized in early GIS literature, but had limited representation in the feature or coverage data models of GIS. Spatial relations are more explicitly specified in semantic technology. In this paper, semantics for topographic feature ontology design patterns (ODP) are developed as data models for the representation of complex features. In the context of topographic processes, component assemblages are supported by resource systems and are found on local landscapes. The topographic ontology is organized across six thematic modules that can account for basic feature types, resource systems, and landscape types. Types of complex feature attributes include location, generative processes and physical description. Node/edge networks model standard spatial relations and relations specific to topographic science to represent complex features. To demonstrate these concepts, data from The National Map of the U. S. Geological Survey was converted and assembled into ODP.

HDR IMAGING FOR FEATURE DETECTION ON DETAILED ARCHITECTURAL SCENES

Directory of Open Access Journals (Sweden)

G. Kontogianni

2015-02-01

Full Text Available 3D reconstruction relies on accurate detection, extraction, description and matching of image features. This is even truer for complex architectural scenes that pose needs for 3D models of high quality, without any loss of detail in geometry or color. Illumination conditions influence the radiometric quality of images, as standard sensors cannot depict properly a wide range of intensities in the same scene. Indeed, overexposed or underexposed pixels cause irreplaceable information loss and degrade digital representation. Images taken under extreme lighting environments may be thus prohibitive for feature detection/extraction and consequently for matching and 3D reconstruction. High Dynamic Range (HDR images could be helpful for these operators because they broaden the limits of illumination range that Standard or Low Dynamic Range (SDR/LDR images can capture and increase in this way the amount of details contained in the image. Experimental results of this study prove this assumption as they examine state of the art feature detectors applied both on standard dynamic range and HDR images.

Features of Fragile X Syndrome

Science.gov (United States)

... Disabilities in FXS include a range from moderate learning disabilities to more severe intellectual disabilities. Physical features may ... intellectual disability. Others may have moderate or mild learning disabilities, emotional/mental health issues, general anxiety and/or ...

Handi Helps, 1985

Science.gov (United States)

Handi Helps, 1985

1985-01-01

The six issues of Handi Helps presented here focus on specific issues of concern to the disabled, parents, and those working with the disabled. The two-page handi help fact sheets focus on the following topics: child sexual abuse prevention, asthma, scoliosis, the role of the occupational therapist, kidnapping, and muscular dystrophy. Each handi…

Print-based self-help interventions for smoking cessation.

Science.gov (United States)

Hartmann-Boyce, Jamie; Lancaster, Tim; Stead, Lindsay F

2014-06-03

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully. The aims of this review were to determine: the effectiveness of different forms of print-based self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to print-based self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials. We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search April 2014. We included randomized trials of smoking cessation with follow-up of at least six months, where at least one arm tested a print-based self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist. We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model. We identified 74 trials which met the inclusion criteria. Many study reports did not include sufficient detail to judge risk of bias for some domains. Twenty-eight studies (38%) were judged at high risk of bias for one or more domains but the overall risk of bias across all included studies was judged to be moderate, and unlikely to alter the conclusions.Thirty-four trials evaluated the effect of standard, non-tailored self-help materials. Pooling 11 of these trials in which there

CONTRASTIVE CULTURAL FEATURES IN FL TEACHING.

Science.gov (United States)

FISCHER, MILLA

CONTRASTIVE CULTURAL FEATURES SHOULD BE INCLUDED WITHIN THE FRAMEWORK OF THE GRAMMATICAL LESSON AS A MEANS OF COUNTERBALANCING THE GENERALLY UNSATISFACTORY MATERIAL USED FOR RUSSIAN TEXTS. LESSONS FOR AMERICAN STUDENTS LEARNING RUSSIAN SHOULD INCLUDE PHONOLOGICAL DRILLS ON VOWEL LENGTHS, DISTRIBUTION OF VOICED OBSTRUENTS, AND OBSTRUENT CLUSTERS,…

Adolescents' Help-Seeking Behavior and Intentions Following Adolescent Dating Violence: A Systematic Review.

Science.gov (United States)

Bundock, Kerrie; Chan, Carmen; Hewitt, Olivia

2018-01-01

The review aimed to systematically identify and summarize empirical work examining adolescent victims' help-seeking behaviors and intentions in relation to their own experience of adolescent dating violence (ADV) and to critically evaluate the literature. Three main objectives were addressed: identify factors associated with help seeking, identify help-seeking source (who adolescents disclose to), and explore the barriers and facilitators for help seeking. Results were separated into actual help seeking and help-seeking intentions. A systematic search was conducted via an electronic search on February 10, 2017. Studies were identified by systematically searching the following electronic databases: Amed, BNI, CINAHL, EMBASE, Health Business Elite, HMIC, Medline, PsychINFO, and PubMed. Nineteen studies were included in the review. Adolescents were more likely to go to informal sources of support, with friends being the most commonly reported source. The majority of studies found females were more likely than males to seek help; however, inconsistencies in gender differences emerged. The variation in measurement and definition of ADV and help seeking included in this review impacts on its conclusions. Adolescents identify a number of barriers to help seeking for ADV. Emotional factors were identified as important barriers to seeking help; however, very little research in this review explored this area. Further research is required on age and cultural differences, use of the Internet, and preference for different sources for different types of abuse. There is a need for a greater focus on help seeking to ensure government campaigns are appropriately meeting the needs of young people experiencing ADV.

Benefits and Pitfalls of Multimedia and Interactive Features in Technology-Enhanced Storybooks

Science.gov (United States)

Takacs, Zsofia K.; Swart, Elise K.; Bus, Adriana G.

2015-01-01

A meta-analysis was conducted on the effects of technology-enhanced stories for young children’s literacy development when compared to listening to stories in more traditional settings like storybook reading. A small but significant additional benefit of technology was found for story comprehension (g+ = 0.17) and expressive vocabulary (g+ = 0.20), based on data from 2,147 children in 43 studies. When investigating the different characteristics of technology-enhanced stories, multimedia features like animated pictures, music, and sound effects were found beneficial. In contrast, interactive elements like hotspots, games, and dictionaries were found to be distracting. Especially for children disadvantaged because of less stimulating family environments, multimedia features were helpful and interactive features were detrimental. Findings are discussed from the perspective of cognitive processing theories. PMID:26640299

Emotions and Actions Associated with Altruistic Helping and Punishment

Directory of Open Access Journals (Sweden)

Omar Tonsi Eldakar

2006-01-01

Full Text Available Evolutionary altruism (defined in terms of fitness effects exists in the context of punishment in addition to helping. We examine the proximate psychological mechanisms that motivate altruistic helping and punishment, including the effects of genetic relatedness, potential for future interactions, and individual differences in propensity to help and punish. A cheater who is a genetic relative provokes a stronger emotional reaction than a cheater who is a stranger, but the behavioral response is modulated to avoid making the transgression public in the case of cheating relatives. Numerous behavioral differences are not accompanied by emotional differences, suggesting that other psychological mechanisms dictate the specific response to emotion-provoking events. Paradoxically, there is a positive correlation between temptation to cheat and propensity to punish others for cheating, leading to a concept of “selfish punishment” that has been substantiated by a computer simulation model. This study demonstrates that fictional scenarios can provide an important methodological tool for studying the psychological basis of helping and punishment.

Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants.

Science.gov (United States)

Mustaqeem, Anam; Anwar, Syed Muhammad; Majid, Muahammad

2018-01-01

Arrhythmia is considered a life-threatening disease causing serious health issues in patients, when left untreated. An early diagnosis of arrhythmias would be helpful in saving lives. This study is conducted to classify patients into one of the sixteen subclasses, among which one class represents absence of disease and the other fifteen classes represent electrocardiogram records of various subtypes of arrhythmias. The research is carried out on the dataset taken from the University of California at Irvine Machine Learning Data Repository. The dataset contains a large volume of feature dimensions which are reduced using wrapper based feature selection technique. For multiclass classification, support vector machine (SVM) based approaches including one-against-one (OAO), one-against-all (OAA), and error-correction code (ECC) are employed to detect the presence and absence of arrhythmias. The SVM method results are compared with other standard machine learning classifiers using varying parameters and the performance of the classifiers is evaluated using accuracy, kappa statistics, and root mean square error. The results show that OAO method of SVM outperforms all other classifiers by achieving an accuracy rate of 81.11% when used with 80/20 data split and 92.07% using 90/10 data split option.

Psychological features of attention in archery

Directory of Open Access Journals (Sweden)

Ekaterina Yu. Korobeynikova

2017-06-01

Full Text Available The issue of attention is one of the leading in sports psychology. Quite often, athletes’ failures in competitions are ultimately connected with the attention processes, i.e. distraction, switching or loss of concentration. Simultaneously, each particular kind of sport is distinguished by a specific competitive situation and accordingly presents a number of requirements to athletes, including attention features. Archery is no exception. Thus, in shooting sports, concentration and stability of attention are often deemed as the most significant features of attention. The paper is devoted to the study of the attention dynamic properties in archers. Attention features of athletes were assessed depending on the sports major, gender, age, experience and level of competence. 65 archers from different regions of Russia took part in the study, including 34 males and 31 females, the average age being 16.29 ± 1.74. Experience ranges from 1 year to 8 years, average experience is 4.46 ± 1.93. The research results showed that archers are characterized by high indicators of stability of attention, and also high efficiency of solving attention problems. The professional success of archery was associated with the ability to distribute attention when necessary. At the same time, there were no significant differences in the features of attention for recurved and compound archers, which indicates the uniformity of tasks related to attention in the sporting practice of archers. Summing up, it is necessary to include skills in the distribution of attention in the program of psychological training of archers.

Combining morphometric features and convolutional networks fusion for glaucoma diagnosis

Science.gov (United States)

Perdomo, Oscar; Arevalo, John; González, Fabio A.

2017-11-01

Glaucoma is an eye condition that leads to loss of vision and blindness. Ophthalmoscopy exam evaluates the shape, color and proportion between the optic disc and physiologic cup, but the lack of agreement among experts is still the main diagnosis problem. The application of deep convolutional neural networks combined with automatic extraction of features such as: the cup-to-disc distance in the four quadrants, the perimeter, area, eccentricity, the major radio, the minor radio in optic disc and cup, in addition to all the ratios among the previous parameters may help with a better automatic grading of glaucoma. This paper presents a strategy to merge morphological features and deep convolutional neural networks as a novel methodology to support the glaucoma diagnosis in eye fundus images.

Permutation importance: a corrected feature importance measure.

Science.gov (United States)

Altmann, André; Toloşi, Laura; Sander, Oliver; Lengauer, Thomas

2010-05-15

In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility. However, in the past years effective estimators of feature relevance have been derived for highly complex or non-parametric models such as support vector machines and RandomForest (RF) models. Recently, it has been observed that RF models are biased in such a way that categorical variables with a large number of categories are preferred. In this work, we introduce a heuristic for normalizing feature importance measures that can correct the feature importance bias. The method is based on repeated permutations of the outcome vector for estimating the distribution of measured importance for each variable in a non-informative setting. The P-value of the observed importance provides a corrected measure of feature importance. We apply our method to simulated data and demonstrate that (i) non-informative predictors do not receive significant P-values, (ii) informative variables can successfully be recovered among non-informative variables and (iii) P-values computed with permutation importance (PIMP) are very helpful for deciding the significance of variables, and therefore improve model interpretability. Furthermore, PIMP was used to correct RF-based importance measures for two real-world case studies. We propose an improved RF model that uses the significant variables with respect to the PIMP measure and show that its prediction accuracy is superior to that of other existing models. R code for the method presented in this article is available at http://www.mpi-inf.mpg.de/ approximately altmann/download/PIMP.R CONTACT: altmann@mpi-inf.mpg.de, laura.tolosi@mpi-inf.mpg.de Supplementary data are available at Bioinformatics online.

Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics

Science.gov (United States)

Faye, Ibrahima; Samir, Brahim Belhaouari; Md Said, Abas

2014-01-01

Bioinformatics has been an emerging area of research for the last three decades. The ultimate aims of bioinformatics were to store and manage the biological data, and develop and analyze computational tools to enhance their understanding. The size of data accumulated under various sequencing projects is increasing exponentially, which presents difficulties for the experimental methods. To reduce the gap between newly sequenced protein and proteins with known functions, many computational techniques involving classification and clustering algorithms were proposed in the past. The classification of protein sequences into existing superfamilies is helpful in predicting the structure and function of large amount of newly discovered proteins. The existing classification results are unsatisfactory due to a huge size of features obtained through various feature encoding methods. In this work, a statistical metric-based feature selection technique has been proposed in order to reduce the size of the extracted feature vector. The proposed method of protein classification shows significant improvement in terms of performance measure metrics: accuracy, sensitivity, specificity, recall, F-measure, and so forth. PMID:25045727

Multi-Agent Design and Implementation for an Online Peer Help System

Science.gov (United States)

Meng, Anbo

2014-01-01

With the rapid advance of e-learning, the online peer help is playing increasingly important role. This paper explores the application of MAS to an online peer help system (MAPS). In the design phase, the architecture of MAPS is proposed, which consists of a set of agents including the personal agent, the course agent, the diagnosis agent, the DF…

Stylistic Features of Comment in Arabic Blogosphere

Directory of Open Access Journals (Sweden)

Gabdulzyamil G. Zaynullin

2017-11-01

Full Text Available One of the most important issues in the study of the functioning of the Internet language is the definition of the features of each Internet genre presented in online communication, taking into account the linguocultural features of the language in question. This paper studies the genre of the Internet comments of the Arabic-speaking blogosphere and reveals its stylistic features. The most common goal of the comment is gratitude, followed by praise. We created a corpus of comments from blogs of various subjects, and then conducted the tagging, having identified the group to which we attributed a comment, depending on the subject and the communicative goal. With the help of the Lexico 3 software, the most frequent lexical units were identified, the lexical features of the comments were described, the main one being the widespread use of religionyms, and the relationship between the blog subject and the stylistic characteristics of communication was revealed. The article traces the correlation between the literary and colloquial functional style in the comments, and also draws a conclusion that the comments are of a conversational, informal character. The main devices of expressiveness that are characteristic for both network and pre-network communication were revealed, and the tendency of the analysts to observe in the comments a stable three-part composition (greeting, message, final formula. The influence of traditional Arabic rhetoric, as well as the epistolary genre, was preserved. The results of the paper can be used when studying other genres of Internet communication in Arabic and in comparative studies to create the linguistic software.

Bladder cancer treatment response assessment with radiomic, clinical, and radiologist semantic features

Science.gov (United States)

Gordon, Marshall N.; Cha, Kenny H.; Hadjiiski, Lubomir M.; Chan, Heang-Ping; Cohan, Richard H.; Caoili, Elaine M.; Paramagul, Chintana; Alva, Ajjai; Weizer, Alon Z.

2018-02-01

We are developing a decision support system for assisting clinicians in assessment of response to neoadjuvant chemotherapy for bladder cancer. Accurate treatment response assessment is crucial for identifying responders and improving quality of life for non-responders. An objective machine learning decision support system may help reduce variability and inaccuracy in treatment response assessment. We developed a predictive model to assess the likelihood that a patient will respond based on image and clinical features. With IRB approval, we retrospectively collected a data set of pre- and post- treatment CT scans along with clinical information from surgical pathology from 98 patients. A linear discriminant analysis (LDA) classifier was used to predict the likelihood that a patient would respond to treatment based on radiomic features extracted from CT urography (CTU), a radiologist's semantic feature, and a clinical feature extracted from surgical and pathology reports. The classification accuracy was evaluated using the area under the ROC curve (AUC) with a leave-one-case-out cross validation. The classification accuracy was compared for the systems based on radiomic features, clinical feature, and radiologist's semantic feature. For the system based on only radiomic features the AUC was 0.75. With the addition of clinical information from examination under anesthesia (EUA) the AUC was improved to 0.78. Our study demonstrated the potential of designing a decision support system to assist in treatment response assessment. The combination of clinical features, radiologist semantic features and CTU radiomic features improved the performance of the classifier and the accuracy of treatment response assessment.

Cytomorphologic features of myxopapillary ependymoma: a review of 13 cases.

Science.gov (United States)

Takei, Hidehiro; Kosarac, Ognjen; Powell, Suzanne Z

2009-01-01

To describe the cytologic features of myxopapillary ependymoma (MPE) on intraoperative smears, to analyze cytomorphologic parameters that may help in reaching the diagnosis and to discuss differential diagnosis. Touch imprint smears of 13 MPE cases were reviewed and graded semiquantitatively for 14 cytomorphologic parameters; cellularity, myxoid background, isolated/dispersed tumor cells, "hyaline globules (HGs)," fibrillary cytoplasmic processes, papillary structures, perivascular pseudorosettes, epithelioid tumor cells (ETCs), intracytoplasmic mucin, intranuclear inclusions, nuclear grooves, mitosis, cytologic atypia and hemosiderin-laden macrophages. Cytologic examination revealed variably cellular specimens composed of isolated and loosely aggregated tumor cells with round to oval or occasionally spindle-shaped nuclei; evenly distributed, finely granular chromatin; and fibrillary processes admixed with occasional ETCs. Most of the cases showed prominent fibrillary processes and occasional ETCs with at least a focal myxoid background. HGs and hemosiderin-laden macrophages were often seen. Papillary structure, a histologic hallmark of MPE, was rarely observed. Dual glial and epithelioid properties of tumor cells, well-known features of "regular" ependymomas, and a distinctive myxoid background with HGs strongly support a diagnosis of MPE and are of great help in excluding other mimics (e.g., other variants of ependymoma, metastatic mucinous adenocarcinoma, metastatic adenoid cystic carcinoma and chordoma).

Arabic web pages clustering and annotation using semantic class features

Directory of Open Access Journals (Sweden)

Hanan M. Alghamdi

2014-12-01

Full Text Available To effectively manage the great amount of data on Arabic web pages and to enable the classification of relevant information are very important research problems. Studies on sentiment text mining have been very limited in the Arabic language because they need to involve deep semantic processing. Therefore, in this paper, we aim to retrieve machine-understandable data with the help of a Web content mining technique to detect covert knowledge within these data. We propose an approach to achieve clustering with semantic similarities. This approach comprises integrating k-means document clustering with semantic feature extraction and document vectorization to group Arabic web pages according to semantic similarities and then show the semantic annotation. The document vectorization helps to transform text documents into a semantic class probability distribution or semantic class density. To reach semantic similarities, the approach extracts the semantic class features and integrates them into the similarity weighting schema. The quality of the clustering result has evaluated the use of the purity and the mean intra-cluster distance (MICD evaluation measures. We have evaluated the proposed approach on a set of common Arabic news web pages. We have acquired favorable clustering results that are effective in minimizing the MICD, expanding the purity and lowering the runtime.

Cost Conscious: Incentive and Discount Programs Help Students Meet the Rising Cost of a Community College Education

Science.gov (United States)

Ullman, Ellen

2013-01-01

Aware that rising costs could force some community colleges to compromise their long-standing open-door policies, administrators have put in place programs and incentives to offset the higher price of the average community college education. This article features ideas and programs to help struggling community colleges cope with rising costs such…

Help me if you can: Psychological distance and help-seeking intentions in employee-supervisor relations.

Science.gov (United States)

Berkovich, Izhak; Eyal, Ori

2018-02-15

Social support at work is considered useful in treating job-related stress, and supervisors' emotional support has been found to be the most effective source of support at work. But an understanding of what elements make employees use supervisors as a source of emotional support is lacking. The present qualitative study included in-depth interviews with 24 teachers and 12 principals and a focus group with 12 school counsellors. The findings pointed at 2 groups of determinants of subordinates' intentions of asking socioemotional help from supervisors. The structural-organizational factors included low formalization structure, supportive and open work climate, shared goals, and manager's professional expertise; the dyadic factors included quality of relationship and demographic similarity. The determinants reflected different dimensions of psychological distance forming a close construal level that played a central part in employees' viewing the supervisor as an accessible socioemotional resource. The role of construal fit is discussed. Copyright © 2018 John Wiley & Sons, Ltd.

Factors influencing intention to help and helping behaviour in witnesses of bullying in nursing settings.

Science.gov (United States)

Báez-León, Carmen; Moreno-Jiménez, Bernardo; Aguirre-Camacho, Aldo; Olmos, Ricardo

2016-12-01

The role played by witnesses of bullying in nursing settings remains little studied, despite their potential relevance in explaining the onset and development of bullying. The objective of this study was to develop a model to account for witnesses' intention to help and helping behaviour in response to bullying in a nursing setting. Three hundred and thirty-seven witnesses completed self-report measures of variables predicting intention to help and helping behaviour. A full structural model was constructed using structural equation modelling. The intention to help victims was elicited by tension, group identity, support to peers' initiative to intervene and absence of fear of retaliation. However, engagement in helping behaviour was only predicted by the absence of fear of retaliation. This study shows that witnesses of bullying in nursing settings do not remain impassive, but their experienced discomfort and intention to help victims is not sufficient to predict helping behaviour. Fear of possible retaliation if intervening in favour of victims constitutes a crucial factor explaining witnesses' hesitation to help victims. Several implications for the implementation of policies directed at eradicating bullying in nursing settings are discussed. © 2016 John Wiley & Sons Ltd.

Contextual Multi-armed Bandits under Feature Uncertainty

Energy Technology Data Exchange (ETDEWEB)

Yun, Seyoung [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Nam, Jun Hyun [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of); Mo, Sangwoo [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of); Shin, Jinwoo [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)

2017-03-03

We study contextual multi-armed bandit problems under linear realizability on rewards and uncertainty (or noise) on features. For the case of identical noise on features across actions, we propose an algorithm, coined NLinRel, having O(T⁷/₈(log(dT)+K√d)) regret bound for T rounds, K actions, and d-dimensional feature vectors. Next, for the case of non-identical noise, we observe that popular linear hypotheses including NLinRel are impossible to achieve such sub-linear regret. Instead, under assumption of Gaussian feature vectors, we prove that a greedy algorithm has O(T²/₃√log d)regret bound with respect to the optimal linear hypothesis. Utilizing our theoretical understanding on the Gaussian case, we also design a practical variant of NLinRel, coined Universal-NLinRel, for arbitrary feature distributions. It first runs NLinRel for finding the ‘true’ coefficient vector using feature uncertainties and then adjust it to minimize its regret using the statistical feature information. We justify the performance of Universal-NLinRel on both synthetic and real-world datasets.

Text feature extraction based on deep learning: a review.

Science.gov (United States)

Liang, Hong; Sun, Xiao; Sun, Yunlei; Gao, Yuan

2017-01-01

Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new applications, deep learning enables to acquire new effective feature representation from training data. As a new feature extraction method, deep learning has made achievements in text mining. The major difference between deep learning and conventional methods is that deep learning automatically learns features from big data, instead of adopting handcrafted features, which mainly depends on priori knowledge of designers and is highly impossible to take the advantage of big data. Deep learning can automatically learn feature representation from big data, including millions of parameters. This thesis outlines the common methods used in text feature extraction first, and then expands frequently used deep learning methods in text feature extraction and its applications, and forecasts the application of deep learning in feature extraction.

Perirhinal Cortex Resolves Feature Ambiguity in Configural Object Recognition and Perceptual Oddity Tasks

Science.gov (United States)

Bartko, Susan J.; Winters, Boyer D.; Cowell, Rosemary A.; Saksida, Lisa M.; Bussey, Timothy J.

2007-01-01

The perirhinal cortex (PRh) has a well-established role in object recognition memory. More recent studies suggest that PRh is also important for two-choice visual discrimination tasks. Specifically, it has been suggested that PRh contains conjunctive representations that help resolve feature ambiguity, which occurs when a task cannot easily be…

Feature inference with uncertain categorization: Re-assessing Anderson's rational model.

Science.gov (United States)

Konovalova, Elizaveta; Le Mens, Gaël

2017-09-18

A key function of categories is to help predictions about unobserved features of objects. At the same time, humans are often in situations where the categories of the objects they perceive are uncertain. In an influential paper, Anderson (Psychological Review, 98(3), 409-429, 1991) proposed a rational model for feature inferences with uncertain categorization. A crucial feature of this model is the conditional independence assumption-it assumes that the within category feature correlation is zero. In prior research, this model has been found to provide a poor fit to participants' inferences. This evidence is restricted to task environments inconsistent with the conditional independence assumption. Currently available evidence thus provides little information about how this model would fit participants' inferences in a setting with conditional independence. In four experiments based on a novel paradigm and one experiment based on an existing paradigm, we assess the performance of Anderson's model under conditional independence. We find that this model predicts participants' inferences better than competing models. One model assumes that inferences are based on just the most likely category. The second model is insensitive to categories but sensitive to overall feature correlation. The performance of Anderson's model is evidence that inferences were influenced not only by the more likely category but also by the other candidate category. Our findings suggest that a version of Anderson's model which relaxes the conditional independence assumption will likely perform well in environments characterized by within-category feature correlation.

Rigorous assessment and integration of the sequence and structure based features to predict hot spots

Directory of Open Access Journals (Sweden)

Wang Yong

2011-07-01

Full Text Available Abstract Background Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and helping narrow down the search space for drug design. Currently many computational methods have been developed by proposing different features. However comparative assessment of these features and furthermore effective and accurate methods are still in pressing need. Results In this study, we first comprehensively collect the features to discriminate hot spots and non-hot spots and analyze their distributions. We find that hot spots have lower relASA and larger relative change in ASA, suggesting hot spots tend to be protected from bulk solvent. In addition, hot spots have more contacts including hydrogen bonds, salt bridges, and atomic contacts, which favor complexes formation. Interestingly, we find that conservation score and sequence entropy are not significantly different between hot spots and non-hot spots in Ab+ dataset (all complexes. While in Ab- dataset (antigen-antibody complexes are excluded, there are significant differences in two features between hot pots and non-hot spots. Secondly, we explore the predictive ability for each feature and the combinations of features by support vector machines (SVMs. The results indicate that sequence-based feature outperforms other combinations of features with reasonable accuracy, with a precision of 0.69, a recall of 0.68, an F1 score of 0.68, and an AUC of 0.68 on independent test set. Compared with other machine learning methods and two energy-based approaches, our approach achieves the best performance. Moreover, we demonstrate the applicability of our method to predict hot spots of two protein complexes. Conclusion Experimental results show that support vector machine

Rigorous assessment and integration of the sequence and structure based features to predict hot spots

Science.gov (United States)

2011-01-01

Background Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and helping narrow down the search space for drug design. Currently many computational methods have been developed by proposing different features. However comparative assessment of these features and furthermore effective and accurate methods are still in pressing need. Results In this study, we first comprehensively collect the features to discriminate hot spots and non-hot spots and analyze their distributions. We find that hot spots have lower relASA and larger relative change in ASA, suggesting hot spots tend to be protected from bulk solvent. In addition, hot spots have more contacts including hydrogen bonds, salt bridges, and atomic contacts, which favor complexes formation. Interestingly, we find that conservation score and sequence entropy are not significantly different between hot spots and non-hot spots in Ab+ dataset (all complexes). While in Ab- dataset (antigen-antibody complexes are excluded), there are significant differences in two features between hot pots and non-hot spots. Secondly, we explore the predictive ability for each feature and the combinations of features by support vector machines (SVMs). The results indicate that sequence-based feature outperforms other combinations of features with reasonable accuracy, with a precision of 0.69, a recall of 0.68, an F1 score of 0.68, and an AUC of 0.68 on independent test set. Compared with other machine learning methods and two energy-based approaches, our approach achieves the best performance. Moreover, we demonstrate the applicability of our method to predict hot spots of two protein complexes. Conclusion Experimental results show that support vector machine classifiers are quite

A study on CT features of intrahepatic bile duct abscess

International Nuclear Information System (INIS)

Min Pengqiu; Li Peng; He Zhiyan; Chen Weixia; Liu Yan

2001-01-01

Objective: To evaluate CT features of intrahepatic bile duct abscess (IBDA) and its pathologic basis. Methods: The CT imaging data of 31 consecutive cases of intrahepatic bile duct abscess proved by surgery or clinical treatments from October 1989 to February 1999 were retrospectively studied. The causes included acute obstructive suppurative cholangitis and retrograde infection due to different etiologies. For all the cases, the CT manifestations of liver abscess, bile duct abnormalities, and their relationship were observed respectively. Results: Manifestations of liver abscess were revealed in all cases (31/31, 100%). The CT manifestations of bile duct abnormalities included signs of etiologies caused bile duct obstruction and other signs including cholangiectasis (29/31, 93.5%), the dilated bile ducts communicated with (5/31, 16.1%) or abut on (8/31, 25.8%) the abscesses, and gas collection in bile ducts (10/31, 32.2%). The signs showing the relationship between liver abscess and bile duct abnormalities were that the abscesses complied with the obstructive site and the dilated bile ducts (15/31, 48.4%), and the liver abscesses located in different (7/31, 22.6%) or same (4/31, 12.9%) liver lobes or segments with gas collection in the dilated bile ducts. Conclusion: The CT manifestations of IBDA included signs of liver abscess, abnormalities of bile ducts, and signs showing their relationship. CT scanning was helpful in making comprehensive and accurate diagnosis of IBDA

The Self-help Online against Suicidal thoughts (SOS) trial

DEFF Research Database (Denmark)

Mühlmann, Charlotte; Madsen, Trine; Hjorthøj, Carsten Rygaard

2017-01-01

-list assignment for 32 weeks. The primary outcomes are frequency and intensity of suicidal thoughts. Secondary outcome measures include depressive symptoms, hopelessness, worrying, quality of life, costs related to health care utilization and production loss. Number of deliberate self-harm episodes, suicides......BACKGROUND: Suicidal thoughts are common, causing distress for millions of people all over the world. However, people with suicidal thoughts might not access support due to financial restraints, stigma or a lack of available treatment offers. Self-help programs provided online could overcome...... these barriers, and previous efforts show promising results in terms of reducing suicidal thoughts. This study aims to examine the effectiveness of an online self-help intervention in reducing suicidal thoughts among people at risk of suicide. The Danish Self-help Online against Suicidal thoughts (SOS) trial...

Toward Generating More Diagnostic Features from Photoplethysmogram Waveforms

Directory of Open Access Journals (Sweden)

Mohamed Elgendi

2018-03-01

Full Text Available Photoplethysmogram (PPG signals collected using a pulse oximeter are increasingly being used for screening and diagnosis purposes. Because of the non-invasive, cost-effective, and easy-to-use nature of the pulse oximeter, clinicians and biomedical engineers are investigating how PPG signals can help in the management of many medical conditions, especially for global health application. The study of PPG signal analysis is relatively new compared to research in electrocardiogram signals, for instance; however, we anticipate that in the near future blood pressure, cardiac output, and other clinical parameters will be measured from wearable devices that collect PPG signals, based on the signal’s vast potential. This article attempts to organize and standardize the names of PPG waveforms to ensure consistent terminologies, thereby helping the rapid developments in this research area, decreasing the disconnect within and among different disciplines, and increasing the number of features generated from PPG waveforms.

Toddlers Selectively Help Fair Agents

Directory of Open Access Journals (Sweden)

Luca Surian

2017-06-01

Full Text Available Previous research showed that infants and toddlers are inclined to help prosocial agents and assign a positive valence to fair distributions. Also, they expect that positive and negative actions directed toward distributors will conform to reciprocity principles. This study investigates whether toddlers are selective in helping others, as a function of others’ previous distributive actions. Toddlers were presented with real-life events in which two actresses distributed resources either equally or unequally between two puppets. Then, they played together with a ball that accidentally fell to the ground and asked participants to help them to retrieve it. Participants preferred to help the actress who performed equal distributions. This finding suggests that by the second year children’s prosocial actions are modulated by their emerging sense of fairness.HighlightsToddlers (mean age = 25 months are selective in helping distributors.Toddlers prefer helping a fair rather than an unfair distributor.Toddlers’ selective helping provides evidence for an early sense of fairness.

Retinopathy of Prematurity: Clinical Features, Classification, Natural History, Management and Outcome.

Science.gov (United States)

Shah, Parag K; Prabhu, Vishma; Ranjan, Ratnesh; Narendran, Venkatapathy; Kalpana, Narendran

2016-11-07

Retinopathy of prematurity is an avoidable cause of childhood blindness. Proper understanding of the classification and treatment methods is a must in tackling this disease. Literature search with PubMed was conducted covering the period 1940-2015 with regards to retinopathy of prematurity, retrolental fibroplasia, its natural history, classification and treatment. The clinical features, screening and staging of retinopathy of prematurity according to International classification of retinopathy of prematurity (ICROP) has been included with illustrations. The standard current treatment indications, modalities and outcomes from landmark randomized controlled trials on retinopathy of prematurity have been mentioned. This review would help pediatricians to update their current knowledge on classification and treatment of retinopathy of prematurity. Screening for retinopathy of prematurity, in India, should be performed in all preterm neonates who are born <34 weeks gestation and/or <1750 grams birthweight; as well as in babies 34-36 weeks gestation or 1750-2000 grams birthweight if they have risk factors for ROP. Screening should start by one month after birth.

Clinical features and management of hereditary spastic paraplegia

Directory of Open Access Journals (Sweden)

Ingrid Faber

2014-03-01

Full Text Available Hereditary spastic paraplegia (HSP is a group of genetically-determined disorders characterized by progressive spasticity and weakness of lower limbs. An apparently sporadic case of adult-onset spastic paraplegia is a frequent clinical problem and a significant proportion of cases are likely to be of genetic origin. HSP is clinically divided into pure and complicated forms. The later present with a wide range of additional neurological and systemic features. To date, there are up to 60 genetic subtypes described. All modes of monogenic inheritance have been described: autosomal dominant, autosomal recessive, X-linked and mitochondrial traits. Recent advances point to abnormal axonal transport as a key mechanism leading to the degeneration of the long motor neuron axons in the central nervous system in HSP. In this review we aim to address recent advances in the field, placing emphasis on key diagnostic features that will help practicing neurologists to identify and manage these conditions.

Successful Approaches to Helping Students--Including English Learners--Succeed in Elementary School. Parent Guide = Enfoques exitosos para ayudar a los estudiantes--incluyendo a los que aprenden ingles--a triunfar en la escuela primaria. Guia de padres

Science.gov (United States)

EdSource, 2007

2007-01-01

This guide informs parents about some instructional practices that work well for all elementary school students, in particular English learners. It includes questions parents can ask teachers and principals to help them understand how their children's school approaches teaching and learning. Both English and Spanish versions of the document are…

nRC: non-coding RNA Classifier based on structural features.

Science.gov (United States)

Fiannaca, Antonino; La Rosa, Massimo; La Paglia, Laura; Rizzo, Riccardo; Urso, Alfonso

2017-01-01

Non-coding RNA (ncRNA) are small non-coding sequences involved in gene expression regulation of many biological processes and diseases. The recent discovery of a large set of different ncRNAs with biologically relevant roles has opened the way to develop methods able to discriminate between the different ncRNA classes. Moreover, the lack of knowledge about the complete mechanisms in regulative processes, together with the development of high-throughput technologies, has required the help of bioinformatics tools in addressing biologists and clinicians with a deeper comprehension of the functional roles of ncRNAs. In this work, we introduce a new ncRNA classification tool, nRC (non-coding RNA Classifier). Our approach is based on features extraction from the ncRNA secondary structure together with a supervised classification algorithm implementing a deep learning architecture based on convolutional neural networks. We tested our approach for the classification of 13 different ncRNA classes. We obtained classification scores, using the most common statistical measures. In particular, we reach an accuracy and sensitivity score of about 74%. The proposed method outperforms other similar classification methods based on secondary structure features and machine learning algorithms, including the RNAcon tool that, to date, is the reference classifier. nRC tool is freely available as a docker image at https://hub.docker.com/r/tblab/nrc/. The source code of nRC tool is also available at https://github.com/IcarPA-TBlab/nrc.

Children's and Adolescents' Accounts of Helping and Hurting Others: Lessons About the Development of Moral Agency.

Science.gov (United States)

Recchia, Holly E; Wainryb, Cecilia; Bourne, Stacia; Pasupathi, Monisha

2015-01-01

This study examined children's and adolescents' narrative accounts of everyday experiences when they harmed and helped a friend. The sample included 100 participants divided into three age groups (7-, 11-, and 16-year-olds). Help narratives focused on the helping acts themselves and reasons for helping, whereas harm narratives included more references to consequences of acts and psychological conflicts. With age, however, youth increasingly described the consequences of helping. Reasons for harming others focused especially on the narrator's perspective whereas reasons for helping others were centered on others' perspectives. With age, youth increasingly drew self-related insights from their helpful, but not their harmful, actions. Results illuminate how reflections on prosocial and transgressive experiences may provide distinct opportunities for constructing moral agency. © 2015 The Authors. Child Development © 2015 Society for Research in Child Development, Inc.

FEATURE SELECTION METHODS BASED ON MUTUAL INFORMATION FOR CLASSIFYING HETEROGENEOUS FEATURES

Directory of Open Access Journals (Sweden)

Ratri Enggar Pawening

2016-06-01

Full Text Available Datasets with heterogeneous features can affect feature selection results that are not appropriate because it is difficult to evaluate heterogeneous features concurrently. Feature transformation (FT is another way to handle heterogeneous features subset selection. The results of transformation from non-numerical into numerical features may produce redundancy to the original numerical features. In this paper, we propose a method to select feature subset based on mutual information (MI for classifying heterogeneous features. We use unsupervised feature transformation (UFT methods and joint mutual information maximation (JMIM methods. UFT methods is used to transform non-numerical features into numerical features. JMIM methods is used to select feature subset with a consideration of the class label. The transformed and the original features are combined entirely, then determine features subset by using JMIM methods, and classify them using support vector machine (SVM algorithm. The classification accuracy are measured for any number of selected feature subset and compared between UFT-JMIM methods and Dummy-JMIM methods. The average classification accuracy for all experiments in this study that can be achieved by UFT-JMIM methods is about 84.47% and Dummy-JMIM methods is about 84.24%. This result shows that UFT-JMIM methods can minimize information loss between transformed and original features, and select feature subset to avoid redundant and irrelevant features.

Adenomatoid odontogenic tumor of the mandible with unusual radiographic features: A case report

International Nuclear Information System (INIS)

Narayanan, Veena S.; Naidu, Giridhar; Haldar, Maya; Ragavendra, Raju; Mhaske-Jedhe, Shubang

2013-01-01

Adenomatoid odontogenic tumor (AOT) usually presents as a unilocular, pericoronal radiolucency in the maxillary anterior region in adolescent females. Very few conditions occur in such a narrow age range and at such a restrictive site. Rarely, these tumors present with varied clinical features. A case of AOT of the mandible is reported with unusual features such as large size, multilocular appearance, and aggressive behavior. The role of radiology in diagnosis of atypical AOT is extremely important. The unique radiological manifestations of the lesion helped in the diagnosis, and it was managed conservatively with no evidence of recurrence.

Adenomatoid odontogenic tumor of the mandible with unusual radiographic features: A case report

Energy Technology Data Exchange (ETDEWEB)

Narayanan, Veena S. [Dept. of Oral Medicine and Radiology, Coorg Institute of Dental Sciences, Virajpe (India); Naidu, Giridhar; Haldar, Maya [Dept. of Oral Medicine and Radiology, Peoples' Dental Academy, Bhopal (India); Ragavendra, Raju; Mhaske-Jedhe, Shubang [Dept. of Oral Pathology and Microbiology, Peoples' Dental Academy, Bhopal (India)

2013-06-15

Adenomatoid odontogenic tumor (AOT) usually presents as a unilocular, pericoronal radiolucency in the maxillary anterior region in adolescent females. Very few conditions occur in such a narrow age range and at such a restrictive site. Rarely, these tumors present with varied clinical features. A case of AOT of the mandible is reported with unusual features such as large size, multilocular appearance, and aggressive behavior. The role of radiology in diagnosis of atypical AOT is extremely important. The unique radiological manifestations of the lesion helped in the diagnosis, and it was managed conservatively with no evidence of recurrence.

How to help teachers' voices.

Science.gov (United States)

Saatweber, Margarete

2008-01-01

It has been shown that teachers are at high risk of developing occupational dysphonia, and it has been widely accepted that the vocal characteristics of a speaker play an important role in determining the reactions of listeners. The functions of breathing, breathing movement, breathing tonus, voice vibrations and articulation tonus are transmitted to the listener. So we may conclude that listening to the teacher's voice at school influences children's behavior and the perception of spoken language. This paper presents the concept of Schlaffhorst-Andersen including exercises to help teachers improve their voice, breathing, movement and their posture. Copyright 2008 S. Karger AG, Basel.

Significance of MPEG-7 textural features for improved mass detection in mammography.

Science.gov (United States)

Eltonsy, Nevine H; Tourassi, Georgia D; Fadeev, Aleksey; Elmaghraby, Adel S

2006-01-01

The purpose of the study is to investigate the significance of MPEG-7 textural features for improving the detection of masses in screening mammograms. The detection scheme was originally based on morphological directional neighborhood features extracted from mammographic regions of interest (ROIs). Receiver Operating Characteristics (ROC) was performed to evaluate the performance of each set of features independently and merged into a back-propagation artificial neural network (BPANN) using the leave-one-out sampling scheme (LOOSS). The study was based on a database of 668 mammographic ROIs (340 depicting cancer regions and 328 depicting normal parenchyma). Overall, the ROC area index of the BPANN using the directional morphological features was Az=0.85+/-0.01. The MPEG-7 edge histogram descriptor-based BPNN showed an ROC area index of Az=0.71+/-0.01 while homogeneous textural descriptors using 30 and 120 channels helped the BPNN achieve similar ROC area indexes of Az=0.882+/-0.02 and Az=0.877+/-0.01 respectively. After merging the MPEG-7 homogeneous textural features with the directional neighborhood features the performance of the BPANN increased providing an ROC area index of Az=0.91+/-0.01. MPEG-7 homogeneous textural descriptor significantly improved the morphology-based detection scheme.

Self-help conferences for people who stutter: a qualitative investigation.

Science.gov (United States)

Trichon, Mitchell; Tetnowski, John

2011-12-01

Self-help activities for people who stutter (PWS) have been gaining in popularity; however, there is a scarcity of evidence to support their utility in stuttering management. The purpose of this investigation was to understand the lived experience of individuals who attended a self-help conference(s) for PWS from the perspective of a PWS to learn its potential utility in stuttering management. The investigator used Interpretive Phenomenological Analysis (IPA) to systematically collect authentic data of this social phenomenon. Twelve participants were recruited from a self-help conference and the self-help community of PWS. Semi-structured interviews were conducted 4-18 months after each participant's last conference. Interviews were transcribed and analyzed. Themes were explained in investigator narratives and illustrated through participants' quotes. Interpreted themes of the experience of having attended a self-help conference(s) for PWS included: socializing opportunities with other PWS, affiliation, redefining oneself and post-conference disclosures. A conclusion of the study was that the experience of having attended a self-help conference(s) for PWS helped to minimize negative impact that stuttering can have on daily functioning. It appears that self-help conferences were perceived as a safer or "stutter-friendly" environment and promoted social interaction, relationship building, and community building through planned and unplanned activities. Another conclusion was that the experience of having attended self-help conferences for PWS helped participants to communicate more easily. Reported increases in social activity and an "openness" about stuttering, suggest self-help conferences' utility in stuttering management. These findings are supported by other studies about successful stuttering management and self-help activities for PWS. They have helped attendees who stutter to communicate more easily and suggest a reduction in the negative impact that

Help Teens Manage Diabetes

Science.gov (United States)

Skip Navigation Bar Home Current Issue Past Issues Help Teens Manage Diabetes Past Issues / Spring 2008 Table ... healthy behaviors, and conflict resolution. The CST training helps diabetic teens to make good decisions when it ...

Detection of corn and weed species by the combination of spectral, shape and textural features

Science.gov (United States)

Accurate detection of weeds in farmland can help reduce pesticide use and protect the agricultural environment. To develop intelligent equipment for weed detection, this study used an imaging spectrometer system, which supports micro-scale plant feature analysis by acquiring high-resolution hyper sp...

Associations between spondyloarthritis features and magnetic resonance imaging findings

DEFF Research Database (Denmark)

Arnbak, Bodil; Jurik, Anne Grethe; Hørslev-Petersen, Kim

2016-01-01

were 1) to estimate the prevalence of magnetic resonance imaging (MRI) findings and clinical features included in the ASAS criteria for SpA and 2) to explore the associations between MRI findings and clinical features. METHODS: We included patients ages 18-40 years with persistent low back pain who had...... been referred to the Spine Centre of Southern Denmark. We collected information on clinical features (including HLA-B27 and high-sensitivity C-reactive protein) and MRI findings in the spine and sacroiliac (SI) joints. RESULTS: Of 1,020 included patients, 537 (53%) had at least 1 of the clinical...... according to the ASAS definition was present in 217 patients (21%). Of those 217 patients, 91 (42%) had the minimum amount of bone marrow edema required according to the ASAS definition (a low bone marrow edema score). The presence of HLA-B27, peripheral arthritis, a good response to NSAIDs, and preceding...

Frame-Based Facial Expression Recognition Using Geometrical Features

Directory of Open Access Journals (Sweden)

Anwar Saeed

2014-01-01

Full Text Available To improve the human-computer interaction (HCI to be as good as human-human interaction, building an efficient approach for human emotion recognition is required. These emotions could be fused from several modalities such as facial expression, hand gesture, acoustic data, and biophysiological data. In this paper, we address the frame-based perception of the universal human facial expressions (happiness, surprise, anger, disgust, fear, and sadness, with the help of several geometrical features. Unlike many other geometry-based approaches, the frame-based method does not rely on prior knowledge of a person-specific neutral expression; this knowledge is gained through human intervention and not available in real scenarios. Additionally, we provide a method to investigate the performance of the geometry-based approaches under various facial point localization errors. From an evaluation on two public benchmark datasets, we have found that using eight facial points, we can achieve the state-of-the-art recognition rate. However, this state-of-the-art geometry-based approach exploits features derived from 68 facial points and requires prior knowledge of the person-specific neutral expression. The expression recognition rate using geometrical features is adversely affected by the errors in the facial point localization, especially for the expressions with subtle facial deformations.

The analysis of image feature robustness using cometcloud

Directory of Open Access Journals (Sweden)

Xin Qi

2012-01-01

Full Text Available The robustness of image features is a very important consideration in quantitative image analysis. The objective of this paper is to investigate the robustness of a range of image texture features using hematoxylin stained breast tissue microarray slides which are assessed while simulating different imaging challenges including out of focus, changes in magnification and variations in illumination, noise, compression, distortion, and rotation. We employed five texture analysis methods and tested them while introducing all of the challenges listed above. The texture features that were evaluated include co-occurrence matrix, center-symmetric auto-correlation, texture feature coding method, local binary pattern, and texton. Due to the independence of each transformation and texture descriptor, a network structured combination was proposed and deployed on the Rutgers private cloud. The experiments utilized 20 randomly selected tissue microarray cores. All the combinations of the image transformations and deformations are calculated, and the whole feature extraction procedure was completed in 70 minutes using a cloud equipped with 20 nodes. Center-symmetric auto-correlation outperforms all the other four texture descriptors but also requires the longest computational time. It is roughly 10 times slower than local binary pattern and texton. From a speed perspective, both the local binary pattern and texton features provided excellent performance for classification and content-based image retrieval.

Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction

Directory of Open Access Journals (Sweden)

Manuel Stein

2015-10-01

Full Text Available With recent advances in sensor technologies, large amounts of movement data have become available in many application areas. A novel, promising application is the data-driven analysis of team sport. Specifically, soccer matches comprise rich, multivariate movement data at high temporal and geospatial resolution. Capturing and analyzing complex movement patterns and interdependencies between the players with respect to various characteristics is challenging. So far, soccer experts manually post-analyze game situations and depict certain patterns with respect to their experience. We propose a visual analysis system for interactive identification of soccer patterns and situations being of interest to the analyst. Our approach builds on a preliminary system, which is enhanced by semantic features defined together with a soccer domain expert. The system includes a range of useful visualizations to show the ranking of features over time and plots the change of game play situations, both helping the analyst to interpret complex game situations. A novel workflow includes improving the analysis process by a learning stage, taking into account user feedback. We evaluate our approach by analyzing real-world soccer matches, illustrate several use cases and collect additional expert feedback. The resulting findings are discussed with subject matter experts.

Mammographic features and misdiagnosed analysis on 92 cases with breast cancer

International Nuclear Information System (INIS)

Liu Mingjuan; Zhang Xiaoling; Guo Yan

2010-01-01

Objective: To investigate the atypical X-ray features in breast cancer and improve the accuracy of diagnosis. Methods: Mammographic features of 92 cases with pathologically confirmed breast cancer were analyzed retrospectively. Results: High-density mass with speculated margined, clusters of small calcification, stellate-like lesions were found in 51 cases, the rate of correct diagnosis was 96%-100%. Lobulated high-density mass were found in 17 cases, the correct diagnosis rate was about 88.3% cases with skin thickening were all correctly diagnosed. Round mass, focal parenchymal asymmetry and unidentified lesions were found in 20 cases, the diagnosing rate was less than 20%. Conclusion: Round mass, focal parenchymal asymmetry and unidentified lesions were atypical mammographic features of breast cancer. These lesions were misdiagnosed frequently. It is essential to find the indirect signs and associated finding to avoid misdiagnosis. On the other hand, further ultrasound or MRI were helpful to improve the diagnosis by detecting mass in breast, showing cystic lesions and blood supply. (authors)

Evolution of helping and harming in heterogeneous groups.

Science.gov (United States)

Rodrigues, António M M; Gardner, Andy

2013-08-01

Social groups are often composed of individuals who differ in many respects. Theoretical studies on the evolution of helping and harming behaviors have largely focused upon genetic differences between individuals. However, nongenetic variation between group members is widespread in natural populations, and may mediate differences in individuals' social behavior. Here, we develop a framework to study how variation in individual quality mediates the evolution of unconditional and conditional social traits. We investigate the scope for the evolution of social traits that are conditional on the quality of the actor and/or recipients. We find that asymmetries in individual quality can lead to the evolution of plastic traits with different individuals expressing helping and harming traits within the same group. In this context, population viscosity can mediate the evolution of social traits, and local competition can promote both helping and harming behaviors. Furthermore, asymmetries in individual quality can lead to the evolution of competition-like traits between clonal individuals. Overall, we highlight the importance of asymmetries in individual quality, including differences in reproductive value and the ability to engage in successful social interactions, in mediating the evolution of helping and harming behaviors. © 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

Discrete Feature Model (DFM) User Documentation

Energy Technology Data Exchange (ETDEWEB)

Geier, Joel (Clearwater Hardrock Consulting, Corvallis, OR (United States))

2008-06-15

This manual describes the Discrete-Feature Model (DFM) software package for modelling groundwater flow and solute transport in networks of discrete features. A discrete-feature conceptual model represents fractures and other water-conducting features around a repository as discrete conductors surrounded by a rock matrix which is usually treated as impermeable. This approximation may be valid for crystalline rocks such as granite or basalt, which have very low permeability if macroscopic fractures are excluded. A discrete feature is any entity that can conduct water and permit solute transport through bedrock, and can be reasonably represented as a piecewise-planar conductor. Examples of such entities may include individual natural fractures (joints or faults), fracture zones, and disturbed-zone features around tunnels (e.g. blasting-induced fractures or stress-concentration induced 'onion skin' fractures around underground openings). In a more abstract sense, the effectively discontinuous nature of pathways through fractured crystalline bedrock may be idealized as discrete, equivalent transmissive features that reproduce large-scale observations, even if the details of connective paths (and unconnected domains) are not precisely known. A discrete-feature model explicitly represents the fundamentally discontinuous and irregularly connected nature of systems of such systems, by constraining flow and transport to occur only within such features and their intersections. Pathways for flow and solute transport in this conceptualization are a consequence not just of the boundary conditions and hydrologic properties (as with continuum models), but also the irregularity of connections between conductive/transmissive features. The DFM software package described here is an extensible code for investigating problems of flow and transport in geological (natural or human-altered) systems that can be characterized effectively in terms of discrete features. With this

Discrete Feature Model (DFM) User Documentation

International Nuclear Information System (INIS)

Geier, Joel

2008-06-01

This manual describes the Discrete-Feature Model (DFM) software package for modelling groundwater flow and solute transport in networks of discrete features. A discrete-feature conceptual model represents fractures and other water-conducting features around a repository as discrete conductors surrounded by a rock matrix which is usually treated as impermeable. This approximation may be valid for crystalline rocks such as granite or basalt, which have very low permeability if macroscopic fractures are excluded. A discrete feature is any entity that can conduct water and permit solute transport through bedrock, and can be reasonably represented as a piecewise-planar conductor. Examples of such entities may include individual natural fractures (joints or faults), fracture zones, and disturbed-zone features around tunnels (e.g. blasting-induced fractures or stress-concentration induced 'onion skin' fractures around underground openings). In a more abstract sense, the effectively discontinuous nature of pathways through fractured crystalline bedrock may be idealized as discrete, equivalent transmissive features that reproduce large-scale observations, even if the details of connective paths (and unconnected domains) are not precisely known. A discrete-feature model explicitly represents the fundamentally discontinuous and irregularly connected nature of systems of such systems, by constraining flow and transport to occur only within such features and their intersections. Pathways for flow and solute transport in this conceptualization are a consequence not just of the boundary conditions and hydrologic properties (as with continuum models), but also the irregularity of connections between conductive/transmissive features. The DFM software package described here is an extensible code for investigating problems of flow and transport in geological (natural or human-altered) systems that can be characterized effectively in terms of discrete features. With this software, the

Duodenal L cell density correlates with features of metabolic syndrome and plasma metabolites

Directory of Open Access Journals (Sweden)

Annieke C G van Baar

2018-05-01

Full Text Available Background: Enteroendocrine cells are essential for the regulation of glucose metabolism, but it is unknown whether they are associated with clinical features of metabolic syndrome (MetS and fasting plasma metabolites. Objective: We aimed to identify fasting plasma metabolites that associate with duodenal L cell, K cell and delta cell densities in subjects with MetS with ranging levels of insulin resistance. Research design and methods: In this cross-sectional study, we evaluated L, K and delta cell density in duodenal biopsies from treatment-naïve males with MetS using machine-learning methodology. Results: We identified specific clinical biomarkers and plasma metabolites associated with L cell and delta cell density. L cell density was associated with increased plasma metabolite levels including symmetrical dimethylarginine, 3-aminoisobutyric acid, kynurenine and glycine. In turn, these L cell-linked fasting plasma metabolites correlated with clinical features of MetS. Conclusions: Our results indicate a link between duodenal L cells, plasma metabolites and clinical characteristics of MetS. We conclude that duodenal L cells associate with plasma metabolites that have been implicated in human glucose metabolism homeostasis. Disentangling the causal relation between L cells and these metabolites might help to improve the (small intestinal-driven pathophysiology behind insulin resistance in human obesity.

Medical Help-Seeking for Sexual Concerns in Prostate Cancer Survivors

Science.gov (United States)

Hyde, Melissa K.; Zajdlewicz, Leah; Wootten, Addie C.; Nelson, Christian J.; Lowe, Anthony; Dunn, Jeff; Chambers, Suzanne K.

2016-01-01

Introduction Although sexual dysfunction is common after prostate cancer, men's decisions to seek help for sexual concerns are not well understood. Aim Describe predictors of actual prior help-seeking and intended future medical help-seeking for sexual dysfunction in prostate cancer survivors. Methods A cross-sectional survey of 510 prostate cancer survivors assessed masculine beliefs, attitudes, support/approval from partner/peer networks (subjective norm), and perceived control as predictors of medical help-seeking for sexual concerns. A theory of planned behavior (TPB) perspective was used to examine actual prior and planned future behavior and contributing factors. Statistical analyses included multiple and logistic regressions. Main Outcome Measures Intention to see a doctor for sexual advice or help in the next 6 months was measured using the intention subscale adapted from the Attitudes to Seeking Help after Cancer Scale. Prior help-seeking was measured with a dichotomous yes/no scale created for the study. Results Men were Mage 71.69 years (SD = 7.71); 7.54 years (SD = 4.68) post-diagnosis; received treatment(s) (58.1% radical prostatectomy; 47.1% radiation therapy; 29.4% hormonal ablation); 81.4% reported severe ED (IIED 0–6) and 18.6% moderate–mild ED (IIED 7–24). Overall, 30% had sought sexual help in the past 6 months, and 24% intended to seek help in the following 6 months. Prior help-seeking was less frequent among men with severe ED. Sexual help-seeking intentions were associated with lower education, prior sexual help-seeking, sexual importance/ priority, emotional self-reliance, positive attitude, and subjective norm (R2 = 0.56). Conclusion The TPB has utility as a theoretical framework to understand prostate cancer survivors' sexual help-seeking decisions and may inform development of more effective interventions. Masculine beliefs were highly salient. Men who were more emotionally self-reliant and attributed greater importance to sex

The Coffin-Siris syndrome: five new cases including two siblings.

Science.gov (United States)

Carey, J C; Hall, B D

1978-07-01

Five new cases and one previously reported case of the Coffin-Siris syndrome are described. These cases plus the remaining four already published bring to ten the number of cases available for scrutiny. Constant features (100% frequency) include variable degrees of mental retardation, nail hypoplasia or absence with predominantly fifth digit involvement, hypotonia, infancy feeding problems, and retarded bone age. Frequent features (75% to 90%) include postnatal growth deficiency, microcephaly, wide nasal tip and mouth, prominent lips, eyebrow/eyelash hypertrichosis, and scalp hair hypotrichosis. Significant but less frequent findings include short philtrum (50%, scoliosis (40%), decreased fetal activity (40%), smallness for gestational age (30%), and congenital heart defects (30%). We found the craniofacial phenotype to be mild in the young infant, but progressively more characteristic with age. Autosomal recessive inheritance is suspected on the basis of our brother-and-sister pair.

Self-Help for Depression via E-mail: A Randomised Controlled Trial of Effects on Depression and Self-Help Behaviour.

Directory of Open Access Journals (Sweden)

Amy J Morgan

Full Text Available Self-help or self-management strategies are commonly used to deal with depression, but not all are thought to be helpful. A previous study found that sub-threshold depression symptoms were improved by an e-mail intervention that encouraged the use of evidence-based self-help strategies.To investigate whether these e-mails were effective for adults with a range of depression symptomatology including major depression.The study was a parallel-group randomised controlled trial. Adult participants with any level of depressive symptoms were recruited over the internet from the United Kingdom, Australia, Canada, Ireland, New Zealand and the United States. Participants were randomised to receive a series of e-mails either promoting the use of evidence-based self-help strategies or containing depression information as a control. E-mails were sent automatically twice a week for six weeks. Depression symptoms were assessed with the self-rated Patient Health Questionnaire depression scale (PHQ-9.1736 participants with a wide range of symptom severity were recruited and assigned to active (n = 862 and control (n = 874 groups. However, there was a significant attrition rate, with 66.9% lost to follow-up at post-intervention. Both groups showed large improvements in depression symptoms overall, with no significant difference in improvement at the end of the study (mean difference in improvement 0.35 points, 95% CI: -0.57 to 1.28, d = 0.11, 95% CI: -0.06 to 0.27, although there was a small effect at the study mid-point. Results were similar for the sub-group of participants with major depression. The active group showed small to moderate improvements in self-help behaviour (d = 0.40, 95% CI: 0.23 to 0.56.These results suggest that the e-mails were able to increase participants' use of evidence-based self-help, but that this did not improve depression more than an attention control.NCT01399502.

A HYBRID FILTER AND WRAPPER FEATURE SELECTION APPROACH FOR DETECTING CONTAMINATION IN DRINKING WATER MANAGEMENT SYSTEM

Directory of Open Access Journals (Sweden)

S. VISALAKSHI

2017-07-01

Full Text Available Feature selection is an important task in predictive models which helps to identify the irrelevant features in the high - dimensional dataset. In this case of water contamination detection dataset, the standard wrapper algorithm alone cannot be applied because of the complexity. To overcome this computational complexity problem and making it lighter, filter-wrapper based algorithm has been proposed. In this work, reducing the feature space is a significant component of water contamination. The main findings are as follows: (1 The main goal is speeding up the feature selection process, so the proposed filter - based feature pre-selection is applied and guarantees that useful data are improbable to be detached in the initial stage which discussed briefly in this paper. (2 The resulting features are again filtered by using the Genetic Algorithm coded with Support Vector Machine method, where it facilitates to nutshell the subset of features with high accuracy and decreases the expense. Experimental results show that the proposed methods trim down redundant features effectively and achieved better classification accuracy.

The construction of help during radiotherapy: Redefining informal care.

Science.gov (United States)

Appleton, Lynda; Perkins, Elizabeth

2017-12-01

This study will explore how help is constructed during and following radiotherapy for patients with cancer. Grounded theory methods were used in the study to explore the way in which family members and friends constructed a role for themselves in relation to patients receiving radiotherapy. A total of 22 helpers were interviewed. Patients were being treated for a range of cancers including breast, prostate, colorectal, and head and neck. Respondents in this study consistently defined themselves as "helpers" rather than "carers." While radiotherapy as a treatment modality was mostly seen as noninvasive, the cancer diagnosis cast a long shadow over the lives of helpers and patients creating a separation in longstanding relationships. Helpers experienced this separation as "otherness." Help became an important vehicle for bridging this separation. Individuals developed different ways of knowing about the patient as the basis for providing help. Two different types of help were identified in this study: the behind the scenes, largely invisible work that helpers undertook to help the patient without their knowledge and the explicit visible help that was much more commonly negotiated and discussed between helpers and patients. The study provides the basis for a greater understanding on the part of professionals into the impact of diagnosis and radiotherapy treatment on family and friends. In doing so, the study identifies opportunities for the experience of helpers to be recognised and supported by professionals. Copyright © 2017 John Wiley & Sons, Ltd.

Manifold regularized multitask feature learning for multimodality disease classification.

Science.gov (United States)

Jie, Biao; Zhang, Daoqiang; Cheng, Bo; Shen, Dinggang

2015-02-01

Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint selection of common features across multiple modalities. However, one disadvantage of existing multimodality based methods is that they ignore the useful data distribution information in each modality, which is essential for subsequent classification. Accordingly, in this paper we propose a manifold regularized multitask feature learning method to preserve both the intrinsic relatedness among multiple modalities of data and the data distribution information in each modality. Specifically, we denote the feature learning on each modality as a single task, and use group-sparsity regularizer to capture the intrinsic relatedness among multiple tasks (i.e., modalities) and jointly select the common features from multiple tasks. Furthermore, we introduce a new manifold-based Laplacian regularizer to preserve the data distribution information from each task. Finally, we use the multikernel support vector machine method to fuse multimodality data for eventual classification. Conversely, we also extend our method to the semisupervised setting, where only partial data are labeled. We evaluate our method using the baseline magnetic resonance imaging (MRI), fluorodeoxyglucose positron emission tomography (FDG-PET), and cerebrospinal fluid (CSF) data of subjects from AD neuroimaging initiative database. The experimental results demonstrate that our proposed method can not only achieve improved classification performance, but also help to discover the disease-related brain regions useful for disease diagnosis. © 2014 Wiley Periodicals, Inc.

Double line sign: a helpful sonographic sign to detect occult fractures of the proximal humerus

Energy Technology Data Exchange (ETDEWEB)

Rutten, Matthieu J.C.M.; Jager, Gerrit J. [Jeroen Bosch Hospital, Department of Radiology, Hertogenbosch (Netherlands); Waal malefijt, Maarten C. de [University Medical Center Nijmegen, Department of Orthopedic Surgery, Nijmegen (Netherlands); Blickman, Johan G. [University Medical Center Nijmegen, Department of Radiology, Nijmegen (Netherlands)

2007-03-15

The aim of this study was to describe a new sonographic sign of bone fracture and to determine if it can be helpful in decreasing the number of missed fractures of the proximal humerus. Ultrasound (US) of the shoulder was performed in 57 consecutive patients with shoulder pain and/or disability following trauma. All cases were prospectively reviewed for the presence of a humeral fracture. Sonographic signs of fractures, with special emphasis on what was termed the 'double line sign' (DLS), were assessed. Plain radiography was considered the standard of reference and in equivocal cases magnetic resonance imaging (MRI). Twenty-eight patients had a tuberosity complex fracture, which were all detected at US examination. Sonographic features of a fracture were periosteal elevation, corticol bone discontinuity, step-off deformity or a combination of these findings. This study showed that in 26 (93%) patients an additional sonographic feature, a DLS, could be demonstrated. The DLS is a helpful and probably reliable sonographic sign to indicate a humeral fracture. High-spatial-resolution US substantially increases the detection of fractures of the proximal humerus and should be considered as an alternative diagnostic tool prior to computed tomography (CT), MRI and arthroscopy in patients with persisting shoulder pain and/or disability following trauma. (orig.)

Double line sign: a helpful sonographic sign to detect occult fractures of the proximal humerus

International Nuclear Information System (INIS)

Rutten, Matthieu J.C.M.; Jager, Gerrit J.; Waal malefijt, Maarten C. de; Blickman, Johan G.

2007-01-01

The aim of this study was to describe a new sonographic sign of bone fracture and to determine if it can be helpful in decreasing the number of missed fractures of the proximal humerus. Ultrasound (US) of the shoulder was performed in 57 consecutive patients with shoulder pain and/or disability following trauma. All cases were prospectively reviewed for the presence of a humeral fracture. Sonographic signs of fractures, with special emphasis on what was termed the 'double line sign' (DLS), were assessed. Plain radiography was considered the standard of reference and in equivocal cases magnetic resonance imaging (MRI). Twenty-eight patients had a tuberosity complex fracture, which were all detected at US examination. Sonographic features of a fracture were periosteal elevation, corticol bone discontinuity, step-off deformity or a combination of these findings. This study showed that in 26 (93%) patients an additional sonographic feature, a DLS, could be demonstrated. The DLS is a helpful and probably reliable sonographic sign to indicate a humeral fracture. High-spatial-resolution US substantially increases the detection of fractures of the proximal humerus and should be considered as an alternative diagnostic tool prior to computed tomography (CT), MRI and arthroscopy in patients with persisting shoulder pain and/or disability following trauma. (orig.)

Using Digital Libraries Non-Visually: Understanding the Help-Seeking Situations of Blind Users

Science.gov (United States)

Xie, Iris; Babu, Rakesh; Joo, Soohyung; Fuller, Paige

2015-01-01

Introduction: This study explores blind users' unique help-seeking situations in interacting with digital libraries. In particular, help-seeking situations were investigated at both the physical and cognitive levels. Method: Fifteen blind participants performed three search tasks, including known- item search, specific information search, and…

A systematic review of help-seeking interventions for depression, anxiety and general psychological distress

Directory of Open Access Journals (Sweden)

Gulliver Amelia

2012-07-01

Full Text Available Abstract Background Depression and anxiety are treatable disorders, yet many people do not seek professional help. Interventions designed to improve help-seeking attitudes and increase help-seeking intentions and behaviour have been evaluated in recent times. However, there have been no systematic reviews of the efficacy or effectiveness of these interventions in promoting help-seeking. Therefore, this paper reports a systematic review of published randomised controlled trials targeting help-seeking attitudes, intentions or behaviours for depression, anxiety, and general psychological distress. Methods Studies were identified through searches of PubMed, PsycInfo, and the Cochrane database in November 2011. Studies were included if they included a randomised controlled trial of at least one intervention targeting help-seeking for depression or anxiety or general psychological distress, and contained extractable data on help-seeking attitudes or intentions or behaviour. Studies were excluded if they focused on problems or conditions other than the target (e.g., substance use, eating disorder. Results Six published studies of randomised controlled trials investigating eight different interventions for help-seeking were identified. The majority of trials targeted young adults. Mental health literacy content was effective (d = .12 to .53 in improving help-seeking attitudes in the majority of studies at post-intervention, but had no effect on help-seeking behaviour (d = −.01, .02. There was less evidence for other intervention types such as efforts to destigmatise or provide help-seeking source information. Conclusions Mental health literacy interventions are a promising method for promoting positive help-seeking attitudes, but there is no evidence that it leads to help-seeking behaviour. Further research investigating the effects of interventions on attitudes, intentions, and behaviour is required.

Effect of Feature Dimensionality on Object-based Land Cover ...

African Journals Online (AJOL)

Geographic object-based image analysis (GEOBIA) allows the easy integration of such additional features into the classification process. This paper compares the performance of three supervised classifiers in a GEOBIA environment as an increasing number of object features are included as classification input.

Genetic Fuzzy System (GFS based wavelet co-occurrence feature selection in mammogram classification for breast cancer diagnosis

Directory of Open Access Journals (Sweden)

Meenakshi M. Pawar

2016-09-01

Full Text Available Breast cancer is significant health problem diagnosed mostly in women worldwide. Therefore, early detection of breast cancer is performed with the help of digital mammography, which can reduce mortality rate. This paper presents wrapper based feature selection approach for wavelet co-occurrence feature (WCF using Genetic Fuzzy System (GFS in mammogram classification problem. The performance of GFS algorithm is explained using mini-MIAS database. WCF features are obtained from detail wavelet coefficients at each level of decomposition of mammogram image. At first level of decomposition, 18 features are applied to GFS algorithm, which selects 5 features with an average classification success rate of 39.64%. Subsequently, at second level it selects 9 features from 36 features and the classification success rate is improved to 56.75%. For third level, 16 features are selected from 54 features and average success rate is improved to 64.98%. Lastly, at fourth level 72 features are applied to GFS, which selects 16 features and thereby increasing average success rate to 89.47%. Hence, GFS algorithm is the effective way of obtaining optimal set of feature in breast cancer diagnosis.

Speak Up: Help Avoid Mistakes with Your Medicines

Science.gov (United States)

... out what is in it. Ask the caregiver how long it should take for the liquid to run out. Tell the caregiver if it's dripping too fast or too slow. • Get a list of your medicines—including your new ones. Read the list carefully. Make ... will this new medicine help you? • Are there ...

Desired features of smartphone applications promoting physical activity.

Science.gov (United States)

Rabin, Carolyn; Bock, Beth

2011-12-01

Approximately one-third of adults in the United States are physically inactive. This is a significant public health concern as physical activity (PA) can influence the risk of cardiovascular disease, diabetes, and certain forms of cancer. To minimize these health risks, effective PA interventions must be developed and disseminated to the vast number of individuals who remain sedentary. Smartphone technology presents an exciting opportunity for delivering PA interventions remotely. Although a number of PA applications are currently available for smartphones, these "apps" are not based on established theories of health behavior change and most do not include evidence-based features (e.g., reinforcement and goal setting). Our aim was to collect formative data to develop a smartphone PA app that is empirically and theoretically-based and incorporates user preferences. We recruited 15 sedentary adults to test three currently available PA smartphone apps and provide qualitative and quantitative feedback. Findings indicate that users have a number of specific preferences with regard to PA app features, including that apps provide automatic tracking of PA (e.g., steps taken and calories burned), track progress toward PA goals, and integrate a music feature. Participants also preferred that PA apps be flexible enough to be used with several types of PA, and have well-documented features and user-friendly interfaces (e.g., a one-click main page). When queried by the researcher, most participants endorsed including goal-setting and problem-solving features. These findings provide a blue print for developing a smartphone PA app that incorporates evidence-based components and user preferences.

The Linguistic Features of English Advertising and Translation Skills

Institute of Scientific and Technical Information of China (English)

Wang Xiuyun

2017-01-01

With the development of modern society, advertising can be seen as an indispensable strategy in a heated competition and it plays a more and more significant role for different companies and consumers. Advertisements not only help enterprises establish good images, but also provide consumers with different information. With the economic globalization, many companies launch products on the international market, not only limited on the domestic market alone. Consequently, advertising translation arouses a great attention. This paper states the linguistic features of English advertising and the skills for English Advertising Translation.

Helping older adults to help themselves: the role of mental health literacy in family members.

Science.gov (United States)

White, Margaret; Casey, Leanne

2017-11-01

Family members may play an important role in the health and well-being of older adults. However, little is known about the factors that influence the likelihood of family members supporting older relatives to seek help from mental health professionals for mental health concerns. Mental health literacy is associated with people's help-seeking intentions regarding their own mental health concerns, and some studies have suggested it may play a role in help-seeking on behalf of others. The purpose of this study was to investigate whether mental health literacy is associated with adults' likelihood of supporting an older relative to seek professional help for mental health concerns. Two hundred and sixty-three participants completed a measure of mental health literacy and responded to a hypothetical scenario by indicating their likelihood of supporting an older relative experiencing mental health problems to seek help from various sources. Mental health literacy was positively associated with intentions to support older relative's help-seeking. Interventions to increase the mental health literacy of the relatives of older adults may lead to additional support for older adults' help-seeking for mental health concerns.

Linking Spectral Features with Composition, Crystallinity, and Roughness Properties of Silica and Implications for Candidate Hydrothermal Systems on Mars

Science.gov (United States)

Hamilton, V. E.; McDowell, M. L.; Berger, J. A.; Cady, S. L.; Knauth, L. P.

2011-12-01

laboratory data typically are recognizable in hyperspectral remote sensing data. These features are more difficult to distinguish (or are not included) at multispectral resolutions, but in nearly all uncontaminated samples, the positions of Si-O emissivity minima shift towards longer wavelengths with decreasing crystallinity. Contaminating phases with strong VNIR spectral features are observed in some of the TIR spectra but have a negligible effect in others, suggesting that TIR spectroscopy helps constrain the abundances of these phases. In addition to compositional and crystallinity information, our laboratory data demonstrate that TIR spectra can be used to deduce important information on silica phases' texture and orientation. If used in combination, VNIR and TIR spectroscopy can detect and characterize silica phases, allowing us to estimate conditions of silica formation, e.g., high- or low-temperature aqueous systems.

New features in MADX thin-lens tracking module

CERN Document Server

Sun, Y; CERN. Geneva. BE Department

2010-01-01

In this note, we introduce several new features of the MADX thin-lens tracking module, which include the new element AC dipole, the new feature ‘NOISE’ attached to the class ‘multipole’, and the offset of the ‘aperture’ model. We also present simulation results for the benchmark between different codes, and some applications with examples.

New features in MADX thin-lens tracking module

CERN Document Server

Sun, YP; CERN. Geneva. BE Department

2010-01-01

In this note, we introduce several new features of the MADX thin-lens tracking module, which include the new element AC dipole, the new feature ‘NOISE’attached to the class ‘multipole’, and the offset of the ‘aperture’ model. We also present simulation results for the benchmark between different codes, and some applications with examples.

Shielding voices: The modulation of binding processes between voice features and response features by task representations.

Science.gov (United States)

Bogon, Johanna; Eisenbarth, Hedwig; Landgraf, Steffen; Dreisbach, Gesine

2017-09-01

Vocal events offer not only semantic-linguistic content but also information about the identity and the emotional-motivational state of the speaker. Furthermore, most vocal events have implications for our actions and therefore include action-related features. But the relevance and irrelevance of vocal features varies from task to task. The present study investigates binding processes for perceptual and action-related features of spoken words and their modulation by the task representation of the listener. Participants reacted with two response keys to eight different words spoken by a male or a female voice (Experiment 1) or spoken by an angry or neutral male voice (Experiment 2). There were two instruction conditions: half of participants learned eight stimulus-response mappings by rote (SR), and half of participants applied a binary task rule (TR). In both experiments, SR instructed participants showed clear evidence for binding processes between voice and response features indicated by an interaction between the irrelevant voice feature and the response. By contrast, as indicated by a three-way interaction with instruction, no such binding was found in the TR instructed group. These results are suggestive of binding and shielding as two adaptive mechanisms that ensure successful communication and action in a dynamic social environment.

Reactor protection system including engineered features actuation system

International Nuclear Information System (INIS)

Palmaers, W.

1982-01-01

The safety concept requires to ensure that - the reactor protection system - the active engineered safeguard - and the necessary auxiliary systems are so designed and interfaced in respect of design and mode of action that, in the event of single component failure reliable control of the consequences of accidents remains ensured at all times and that the availability of the power plant is not limited unnecessarily. In order to satisfy these requirements due, importance was attached to a consistent spacial separation of the mutually redundant subsystems of the active safety equipment. The design and layout of the reactor protection system, of the power supply (emergency power supply), and of the auxiliary systems important from the safety engineering point of view, are such that their subsystems also largely satisfy the requirements of independence and spacial separation. (orig./RW)

Workplace Financial Wellness Programs Help Employees Manage Health Care Changes.

Science.gov (United States)

Meyer, Cynthia; Smith, Michael C

Employers and employees are navigating major changes in health insurance benefits, including the move to high-deductible health plans in conjunction with health savings accounts (HSAs). The HSA offers unique benefits that could prove instrumental in helping workers both navigate current health care expenses and build a nest egg for much larger health care costs in retirement. Yet employees often don't understand the HSA and how to best use it. How can employers help employees make wise benefits choices that work for their personal financial circumstances?

Further Thoughts on "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games"

Science.gov (United States)

Oliveri, María Elena; Khan, Saad

2014-01-01

María Oliveri, and Saad Khan write that the article: "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" provided helpful illustrations regarding the implementation of evidence-centered assessment design (Mislevy & Haertel, 2006; Mislevy, Steinberg, & Almond, 1999) with games and simulations.…

Predictors and reasons for help-seeking behavior among women with urinary incontinence

DEFF Research Database (Denmark)

Pedersen, Louise Schreiber; Lose, Gunnar; Hoybye, Mette Terp

2018-01-01

INTRODUCTION AND HYPOTHESIS: The aim of the study was to evaluate the predictors and reasons for help-seeking behavior among women with urinary incontinence (UI) in Germany and Denmark. METHODS: This international postal survey was conducted in 2014. In each country, 4,000 women of at least 18...... years of age were randomly selected. The questionnaires included validated items regarding help-seeking behavior and the ICIQ-UI SF. UI was defined as any involuntary loss of urine. Binary logistic regression analysis was used to assess factors predicting help-seeking behavior. Reasons for seeking...

“When reading fills the soul”: about the experiential narrative in self-help literature

Directory of Open Access Journals (Sweden)

Vanina Belén Canavire

2014-08-01

Latin American publishing market, in this article we provide clues that can help understand the mass consumption of the genre. Focusing on reading as a communication phenomenon itself – the interaction that occurs between text and reader to cognitive, physical, and emotional –, it is possible to identify the ways in which the reader recognizes the experiential narratives featuring in the texts. Finally, one can note a reading that affects, that moves, that “hits”, a reading that mobilizes emotions and body sensations.

Guilt by Association: The 13 Micron Dust Emission Feature and Its Correlation to Other Gas and Dust Features

Science.gov (United States)

Sloan, G. C.; Kraemer, Kathleen E.; Goebel, J. H.; Price, Stephan D.

2003-09-01

A study of all full-scan spectra of optically thin oxygen-rich circumstellar dust shells in the database produced by the Short Wavelength Spectrometer on ISO reveals that the strength of several infrared spectral features correlates with the strength of the 13 μm dust feature. These correlated features include dust features at 19.8 and 28.1 μm and the bands produced by warm carbon dioxide molecules (the strongest of which are at 13.9, 15.0, and 16.2 μm). The database does not provide any evidence for a correlation of the 13 μm feature with a dust feature at 32 μm, and it is more likely that a weak emission feature at 16.8 μm arises from carbon dioxide gas rather than dust. The correlated dust features at 13, 20, and 28 μm tend to be stronger with respect to the total dust emission in semiregular and irregular variables associated with the asymptotic giant branch than in Mira variables or supergiants. This family of dust features also tends to be stronger in systems with lower infrared excesses and thus lower mass-loss rates. We hypothesize that the dust features arise from crystalline forms of alumina (13 μm) and silicates (20 and 28 μm). Based on observations with the ISO, a European Space Agency (ESA) project with instruments funded by ESA member states (especially the Principal Investigator countries: France, Germany, the Netherlands, and the United Kingdom) and with the participation of the Institute of Space and Astronautical Science (ISAS) and the National Aeronautics and Space Administration (NASA).

Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

Directory of Open Access Journals (Sweden)

Pachet François

2009-01-01

Full Text Available We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs, a construct designed to support the representation of knowledge about audio signal processing. We describe the most important aspects of AFs, in particular their dimensional type system, on which are based pattern-based random generators, heuristics, and rewriting rules. We show how AFs generalize or improve previous approaches used in feature generation. We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features. More generally, we propose analytical features as a paradigm to bring raw signals into the world of symbolic computation.

Evidence of Diplopia in Children's Headache Drawings Helps to Differentiate Pseudotumor Cerebri From Migraine.

Science.gov (United States)

Lee, Erica B; Edelman, Fredrick S; Stafstrom, Carl E

2018-02-01

This study aimed to determine whether children's headache drawings can distinguish between pseudotumor cerebri and migraine. Headache features associated with pseudotumor cerebri (pseudotumor; idiopathic intracranial hypertension) are nonspecific and are difficult to distinguish clinically from migraines. Children's headache drawings have a high predictive value for migraine versus nonmigraine headaches. We hypothesized that drawings could help to differentiate pediatric headaches due to pseudotumor cerebri from those associated with migraines. Children aged six to 18 years old attending university hospital pediatric neurology clinics were asked to draw a picture of how their headache feels. From our database of children's headache drawings, pictures by children with clinically diagnosed pseudotumor were compared with migraine drawings. Headache drawings of 21 children (16 females) with pseudotumor were compared with those of 518 children with migraine. Pseudotumor drawings depicted a variety of symptoms including pounding pain (n = 11), pressure-like pain (n = 3), photophobia (3), dizziness (1), and recumbency (1). Severe pain indicators included hammers, bombs, anvil, and vise grip. Positive visual phenomena included scintillations, scotomata, or blurring (n = 8). Negative visual phenomena included field defects (n = 2). Pseudotumor drawings were similar to migraine drawings except that 6 of 21 pseudotumor drawings (28.6%) depicted diplopia (crossed eyes, double images), whereas only three of 518 migraine drawings (0.6%) depicted diplopia (P drawings than migraine drawings. In all other respects, headache drawings by children with pseudotumor cerebri were similar to those drawn by children with migraine. Copyright © 2017 Elsevier Inc. All rights reserved.

Imaging features of juxtacortical chondroma in children

International Nuclear Information System (INIS)

Miller, Stephen F.

2014-01-01

Juxtacortical chondroma is a rare benign bone lesion in children. Children usually present with a mildly painful mass, which prompts diagnostic imaging studies. The rarity of this condition often presents a diagnostic challenge. Correct diagnosis is crucial in guiding surgical management. To describe the characteristic imaging findings of juxtacortical chondroma in children. We identified all children who were diagnosed with juxtacortical chondroma between 1998 and 2012. A single experienced pediatric radiologist reviewed all diagnostic imaging studies, including plain radiographs, CT, MR and bone scans. Seven children (5 boys and 2 girls) with juxtacortical chondroma were identified, ranging in age from 6 years to 16 years (mean 12.3 years). Mild pain and a palpable mass were present in all seven children. Plain radiographs were available in 6/7, MR in 7/7, CT in 4/7 and skeletal scintigraphy in 5/7 children. Three lesions were located in the proximal humerus, with one each in the distal radius, distal femur, proximal tibia and scapula. Radiographic and CT features deemed highly suggestive of juxtacortical chondroma included cortical scalloping, underlying cortical sclerosis and overhanging margins. MRI features consistent with juxtacortical chondroma included isointensity to skeletal muscle on T1, marked hyperintensity on T2 and peripheral rim enhancement after contrast agent administration. One of seven lesions demonstrated intramedullary extension, and 2/7 showed adjacent soft-tissue edema. Juxtacortical chondroma is an uncommon benign lesion in children with characteristic features on plain radiographs, CT and MR. Recognition of these features is invaluable in guiding appropriate surgical management. (orig.)

Imaging features of juxtacortical chondroma in children

Energy Technology Data Exchange (ETDEWEB)

Miller, Stephen F. [St. Jude Children' s Research Hospital, Department of Radiological Sciences, Memphis, TN (United States)

2014-01-15

Juxtacortical chondroma is a rare benign bone lesion in children. Children usually present with a mildly painful mass, which prompts diagnostic imaging studies. The rarity of this condition often presents a diagnostic challenge. Correct diagnosis is crucial in guiding surgical management. To describe the characteristic imaging findings of juxtacortical chondroma in children. We identified all children who were diagnosed with juxtacortical chondroma between 1998 and 2012. A single experienced pediatric radiologist reviewed all diagnostic imaging studies, including plain radiographs, CT, MR and bone scans. Seven children (5 boys and 2 girls) with juxtacortical chondroma were identified, ranging in age from 6 years to 16 years (mean 12.3 years). Mild pain and a palpable mass were present in all seven children. Plain radiographs were available in 6/7, MR in 7/7, CT in 4/7 and skeletal scintigraphy in 5/7 children. Three lesions were located in the proximal humerus, with one each in the distal radius, distal femur, proximal tibia and scapula. Radiographic and CT features deemed highly suggestive of juxtacortical chondroma included cortical scalloping, underlying cortical sclerosis and overhanging margins. MRI features consistent with juxtacortical chondroma included isointensity to skeletal muscle on T1, marked hyperintensity on T2 and peripheral rim enhancement after contrast agent administration. One of seven lesions demonstrated intramedullary extension, and 2/7 showed adjacent soft-tissue edema. Juxtacortical chondroma is an uncommon benign lesion in children with characteristic features on plain radiographs, CT and MR. Recognition of these features is invaluable in guiding appropriate surgical management. (orig.)

Feature Optimization for Long-Range Visual Homing in Changing Environments

Directory of Open Access Journals (Sweden)

Qidan Zhu

2014-02-01

Full Text Available This paper introduces a feature optimization method for robot long-range feature-based visual homing in changing environments. To cope with the changing environmental appearance, the optimization procedure is introduced to distinguish the most relevant features for feature-based visual homing, including the spatial distribution, selection and updating. In the previous research on feature-based visual homing, less effort has been spent on the way to improve the feature distribution to get uniformly distributed features, which are closely related to homing performance. This paper presents a modified feature extraction algorithm to decrease the influence of anisotropic feature distribution. In addition, the feature selection and updating mechanisms, which have hardly drawn any attention in the domain of feature-based visual homing, are crucial in improving homing accuracy and in maintaining the representation of changing environments. To verify the feasibility of the proposal, several comprehensive evaluations are conducted. The results indicate that the feature optimization method can find optimal feature sets for feature-based visual homing, and adapt the appearance representation to the changing environments as well.

Features generated for computational splice-site prediction correspond to functional elements

Directory of Open Access Journals (Sweden)

Wilbur W John

2007-10-01

Full Text Available Abstract Background Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and introns. We previously described a feature generation algorithm (FGA that is capable of achieving high classification accuracy on human 3' splice sites. In this paper, we extend the splice-site prediction to 5' splice sites and explore the generated features for biologically meaningful splicing signals. Results We present examples from the observed features that correspond to known signals, both core signals (including the branch site and pyrimidine tract and auxiliary signals (including GGG triplets and exon splicing enhancers. We present evidence that features identified by FGA include splicing signals not found by other methods. Conclusion Our generated features capture known biological signals in the expected sequence interval flanking splice sites. The method can be easily applied to other species and to similar classification problems, such as tissue-specific regulatory elements, polyadenylation sites, promoters, etc.

Feature-based tolerancing for intelligent inspection process definition

International Nuclear Information System (INIS)

Brown, C.W.

1993-07-01

This paper describes a feature-based tolerancing capability that complements a geometric solid model with an explicit representation of conventional and geometric tolerances. This capability is focused on supporting an intelligent inspection process definition system. The feature-based tolerance model's benefits include advancing complete product definition initiatives (e.g., STEP -- Standard for Exchange of Product model dam), suppling computer-integrated manufacturing applications (e.g., generative process planning and automated part programming) with product definition information, and assisting in the solution of measurement performance issues. A feature-based tolerance information model was developed based upon the notion of a feature's toleranceable aspects and describes an object-oriented scheme for representing and relating tolerance features, tolerances, and datum reference frames. For easy incorporation, the tolerance feature entities are interconnected with STEP solid model entities. This schema will explicitly represent the tolerance specification for mechanical products, support advanced dimensional measurement applications, and assist in tolerance-related methods divergence issues

Featureous: infrastructure for feature-centric analysis of object-oriented software

DEFF Research Database (Denmark)

Olszak, Andrzej; Jørgensen, Bo Nørregaard

2010-01-01

The decentralized nature of collaborations between objects in object-oriented software makes it difficult to understand how user-observable program features are implemented and how their implementations relate to each other. It is worthwhile to improve this situation, since feature-centric program...... understanding and modification are essential during software evolution and maintenance. In this paper, we present an infrastructure built on top of the NetBeans IDE called Featureous that allows for rapid construction of tools for feature-centric analysis of object-oriented software. Our infrastructure...... encompasses a lightweight feature location mechanism, a number of analytical views and an API allowing for addition of third-party extensions. To form a common conceptual framework for future feature-centric extensions, we propose to structure feature centric analysis along three dimensions: perspective...

Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines

Science.gov (United States)

Jegadeeshwaran, R.; Sugumaran, V.

2015-02-01

Hydraulic brakes in automobiles are important components for the safety of passengers; therefore, the brakes are a good subject for condition monitoring. The condition of the brake components can be monitored by using the vibration characteristics. On-line condition monitoring by using machine learning approach is proposed in this paper as a possible solution to such problems. The vibration signals for both good as well as faulty conditions of brakes were acquired from a hydraulic brake test setup with the help of a piezoelectric transducer and a data acquisition system. Descriptive statistical features were extracted from the acquired vibration signals and the feature selection was carried out using the C4.5 decision tree algorithm. There is no specific method to find the right number of features required for classification for a given problem. Hence an extensive study is needed to find the optimum number of features. The effect of the number of features was also studied, by using the decision tree as well as Support Vector Machines (SVM). The selected features were classified using the C-SVM and Nu-SVM with different kernel functions. The results are discussed and the conclusion of the study is presented.

A Kantorovich Type of Szasz Operators Including Brenke-Type Polynomials

Directory of Open Access Journals (Sweden)

Fatma Taşdelen

2012-01-01

convergence properties of these operators by using Korovkin's theorem. We also present the order of convergence with the help of a classical approach, the second modulus of continuity, and Peetre's -functional. Furthermore, an example of Kantorovich type of the operators including Gould-Hopper polynomials is presented and Voronovskaya-type result is given for these operators including Gould-Hopper polynomials.

Discovery and fusion of salient multimodal features toward news story segmentation

Science.gov (United States)

Hsu, Winston; Chang, Shih-Fu; Huang, Chih-Wei; Kennedy, Lyndon; Lin, Ching-Yung; Iyengar, Giridharan

2003-12-01

In this paper, we present our new results in news video story segmentation and classification in the context of TRECVID video retrieval benchmarking event 2003. We applied and extended the Maximum Entropy statistical model to effectively fuse diverse features from multiple levels and modalities, including visual, audio, and text. We have included various features such as motion, face, music/speech types, prosody, and high-level text segmentation information. The statistical fusion model is used to automatically discover relevant features contributing to the detection of story boundaries. One novel aspect of our method is the use of a feature wrapper to address different types of features -- asynchronous, discrete, continuous and delta ones. We also developed several novel features related to prosody. Using the large news video set from the TRECVID 2003 benchmark, we demonstrate satisfactory performance (F1 measures up to 0.76 in ABC news and 0.73 in CNN news), present how these multi-level multi-modal features construct the probabilistic framework, and more importantly observe an interesting opportunity for further improvement.

Selective Audiovisual Semantic Integration Enabled by Feature-Selective Attention.

Science.gov (United States)

Li, Yuanqing; Long, Jinyi; Huang, Biao; Yu, Tianyou; Wu, Wei; Li, Peijun; Fang, Fang; Sun, Pei

2016-01-13

An audiovisual object may contain multiple semantic features, such as the gender and emotional features of the speaker. Feature-selective attention and audiovisual semantic integration are two brain functions involved in the recognition of audiovisual objects. Humans often selectively attend to one or several features while ignoring the other features of an audiovisual object. Meanwhile, the human brain integrates semantic information from the visual and auditory modalities. However, how these two brain functions correlate with each other remains to be elucidated. In this functional magnetic resonance imaging (fMRI) study, we explored the neural mechanism by which feature-selective attention modulates audiovisual semantic integration. During the fMRI experiment, the subjects were presented with visual-only, auditory-only, or audiovisual dynamical facial stimuli and performed several feature-selective attention tasks. Our results revealed that a distribution of areas, including heteromodal areas and brain areas encoding attended features, may be involved in audiovisual semantic integration. Through feature-selective attention, the human brain may selectively integrate audiovisual semantic information from attended features by enhancing functional connectivity and thus regulating information flows from heteromodal areas to brain areas encoding the attended features.

Library Service to Pregnant Teens: How Can We Help?

Science.gov (United States)

Gross, Melissa

1997-01-01

Discusses teenage pregnancy and sexuality and suggests ways in which librarians can help provide access to appropriate and needed information. Highlights include developing policies and procedures for dealing with sexual issues, collection development, organizing information and making it accessible, and a brief teen pregnancy bibliography. (LRW)

Local Chromatin Features Including PU.1 and IKAROS Binding and H3K4 Methylation Shape the Repertoire of Immunoglobulin Kappa Genes Chosen for V(DJ Recombination

Directory of Open Access Journals (Sweden)

Louise S. Matheson

2017-11-01

Full Text Available V(DJ recombination is essential for the generation of diverse antigen receptor (AgR repertoires. In B cells, immunoglobulin kappa (Igκ light chain recombination follows immunoglobulin heavy chain (Igh recombination. We recently developed the DNA-based VDJ-seq assay for the unbiased quantitation of Igh VH and DH repertoires. Integration of VDJ-seq data with genome-wide datasets revealed that two chromatin states at the recombination signal sequence (RSS of VH genes are highly predictive of recombination in mouse pro-B cells. It is unknown whether local chromatin states contribute to Vκ gene choice during Igκ recombination. Here we adapt VDJ-seq to profile the Igκ VκJκ repertoire and present a comprehensive readout in mouse pre-B cells, revealing highly variable Vκ gene usage. Integration with genome-wide datasets for histone modifications, DNase hypersensitivity, transcription factor binding and germline transcription identified PU.1 binding at the RSS, which was unimportant for Igh, as highly predictive of whether a Vκ gene will recombine or not, suggesting that it plays a binary, all-or-nothing role, priming genes for recombination. Thereafter, the frequency with which these genes recombine was shaped both by the presence and level of enrichment of several other chromatin features, including H3K4 methylation and IKAROS binding. Moreover, in contrast to the Igh locus, the chromatin landscape of the promoter, as well as of the RSS, contributes to Vκ gene recombination. Thus, multiple facets of local chromatin features explain much of the variation in Vκ gene usage. Together, these findings reveal shared and divergent roles for epigenetic features and transcription factors in AgR V(DJ recombination and provide avenues for further investigation of chromatin signatures that may underpin V(DJ-mediated chromosomal translocations.

An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach.

Directory of Open Access Journals (Sweden)

Zhila Esna Ashari

Full Text Available Type IV secretion systems (T4SS are multi-protein complexes in a number of bacterial pathogens that can translocate proteins and DNA to the host. Most T4SSs function in conjugation and translocate DNA; however, approximately 13% function to secrete proteins, delivering effector proteins into the cytosol of eukaryotic host cells. Upon entry, these effectors manipulate the host cell's machinery for their own benefit, which can result in serious illness or death of the host. For this reason recognition of T4SS effectors has become an important subject. Much previous work has focused on verifying effectors experimentally, a costly endeavor in terms of money, time, and effort. Having good predictions for effectors will help to focus experimental validations and decrease testing costs. In recent years, several scoring and machine learning-based methods have been suggested for the purpose of predicting T4SS effector proteins. These methods have used different sets of features for prediction, and their predictions have been inconsistent. In this paper, an optimal set of features is presented for predicting T4SS effector proteins using a statistical approach. A thorough literature search was performed to find features that have been proposed. Feature values were calculated for datasets of known effectors and non-effectors for T4SS-containing pathogens for four genera with a sufficient number of known effectors, Legionella pneumophila, Coxiella burnetii, Brucella spp, and Bartonella spp. The features were ranked, and less important features were filtered out. Correlations between remaining features were removed, and dimensional reduction was accomplished using principal component analysis and factor analysis. Finally, the optimal features for each pathogen were chosen by building logistic regression models and evaluating each model. The results based on evaluation of our logistic regression models confirm the effectiveness of our four optimal sets of

KALMAN FILTER BASED FEATURE ANALYSIS FOR TRACKING PEOPLE FROM AIRBORNE IMAGES

Directory of Open Access Journals (Sweden)

B. Sirmacek

2012-09-01

Full Text Available Recently, analysis of man events in real-time using computer vision techniques became a very important research field. Especially, understanding motion of people can be helpful to prevent unpleasant conditions. Understanding behavioral dynamics of people can also help to estimate future states of underground passages, shopping center like public entrances, or streets. In order to bring an automated solution to this problem, we propose a novel approach using airborne image sequences. Although airborne image resolutions are not enough to see each person in detail, we can still notice a change of color components in the place where a person exists. Therefore, we propose a color feature detection based probabilistic framework in order to detect people automatically. Extracted local features behave as observations of the probability density function (pdf of the people locations to be estimated. Using an adaptive kernel density estimation method, we estimate the corresponding pdf. First, we use estimated pdf to detect boundaries of dense crowds. After that, using background information of dense crowds and previously extracted local features, we detect other people in non-crowd regions automatically for each image in the sequence. We benefit from Kalman filtering to track motion of detected people. To test our algorithm, we use a stadium entrance image data set taken from airborne camera system. Our experimental results indicate possible usage of the algorithm in real-life man events. We believe that the proposed approach can also provide crucial information to police departments and crisis management teams to achieve more detailed observations of people in large open area events to prevent possible accidents or unpleasant conditions.

Paediatric PNET: pre-surgical MRI features

Energy Technology Data Exchange (ETDEWEB)

Chawla, A. [Department of Neuroradiology, National Neuroscience Institute (Singapore); Emmanuel, J.V. [Department of Neuroradiology, National Neuroscience Institute (Singapore); Seow, W.T. [Department of Neurosurgery, National Neuroscience Institute (Singapore); Lou, J. [Pediatric Medicine, KK Women' s and Children' s Hospital (Singapore); Teo, H.E. [Department of Diagnostic Imaging, KK Women' s and Children' s Hospital (Singapore); Lim, C.C.T. [Department of Neuroradiology, National Neuroscience Institute (Singapore) and Diagnostic Radiology, Yong Loo Lin Medical School, National University of Singapore (Singapore)]. E-mail: tchoyoson_lim@nni.com.sg

2007-01-15

Aim: To describe the preoperative magnetic resonance imaging (MRI) characteristics of primitive neuroectodermal tumours (PNETs), in particular the diffusion-weighted imaging (DWI), MR spectroscopy (MRS) features and cerebrospinal fluid (CSF) tumour dissemination. Material and methods: Twelve patients with PNETs were reviewed: nine with medulloblastoma and three with supratentorial PNETs (SPNETs). The MRI examination included contrast-enhanced intracranial and spinal MRI, and in some patients, gradient recalled echo, fluid-attenuated inversion recovery (FLAIR), DWI, and MRS. Results: All PNETs were either hypointense or isointense on T1-weighted images. Ten of the 12 tumours were either isointense or hypointense on T2-weighted images, and 11 were isointense on FLAIR images. Patients with SPNETs had large, vascular and haemorrhagic tumours. On DWI, all PNETs were hyperintense and had restricted apparent diffusion coefficient. MRS (two patients with medulloblastoma and one with a SPNET), showed elevated choline, decreased N-acetyl aspartate, and a small taurine peak in all three patients. Intraspinal tumour dissemination, visible as uniform or nodular enhancement coating the conus medullaris, was detected in six of 12 patients, two of whom also had intracranial dissemination. Conclusion: PNETs have a characteristic imaging appearance on FLAIR, DWI and MRS, which may help in differentiating these highly cellular neoplasms from other tumours. There is CSF tumour dissemination in a high proportion of patients, and spinal imaging is important for disease staging and to formulate treatment protocols.

Paediatric PNET: pre-surgical MRI features

International Nuclear Information System (INIS)

Chawla, A.; Emmanuel, J.V.; Seow, W.T.; Lou, J.; Teo, H.E.; Lim, C.C.T.

2007-01-01

Aim: To describe the preoperative magnetic resonance imaging (MRI) characteristics of primitive neuroectodermal tumours (PNETs), in particular the diffusion-weighted imaging (DWI), MR spectroscopy (MRS) features and cerebrospinal fluid (CSF) tumour dissemination. Material and methods: Twelve patients with PNETs were reviewed: nine with medulloblastoma and three with supratentorial PNETs (SPNETs). The MRI examination included contrast-enhanced intracranial and spinal MRI, and in some patients, gradient recalled echo, fluid-attenuated inversion recovery (FLAIR), DWI, and MRS. Results: All PNETs were either hypointense or isointense on T1-weighted images. Ten of the 12 tumours were either isointense or hypointense on T2-weighted images, and 11 were isointense on FLAIR images. Patients with SPNETs had large, vascular and haemorrhagic tumours. On DWI, all PNETs were hyperintense and had restricted apparent diffusion coefficient. MRS (two patients with medulloblastoma and one with a SPNET), showed elevated choline, decreased N-acetyl aspartate, and a small taurine peak in all three patients. Intraspinal tumour dissemination, visible as uniform or nodular enhancement coating the conus medullaris, was detected in six of 12 patients, two of whom also had intracranial dissemination. Conclusion: PNETs have a characteristic imaging appearance on FLAIR, DWI and MRS, which may help in differentiating these highly cellular neoplasms from other tumours. There is CSF tumour dissemination in a high proportion of patients, and spinal imaging is important for disease staging and to formulate treatment protocols

Cancer symptom awareness and barriers to medical help seeking in Scottish adolescents: a cross-sectional study.

Science.gov (United States)

Hubbard, Gill; Macmillan, Iona; Canny, Anne; Forbat, Liz; Neal, Richard D; O'Carroll, Ronan E; Haw, Sally; Kyle, Richard G

2014-10-29

Initiatives to promote early diagnosis include raising public awareness of signs and symptoms of cancer and addressing barriers to seeking medical help about cancer. Awareness of signs and symptoms of cancer and emotional barriers, such as fear, worry, and embarrassment, strongly influence help seeking behaviour. Whether anxiety influences seeking medical help about cancer is not known. The purpose of this study about adolescents was to examine: 1) the relationship between contextual factors and awareness of signs and symptoms of cancer and barriers (including emotional barriers) to seeking medical help, and 2) associations between anxiety and endorsed barriers to seeking medical help. Interpretation of data is informed by the common sense model of the self-regulation of health and illness. A cross-sectional study of 2,173 Scottish adolescents (age 12/13 years) using the Cancer Awareness Measure. Socio-demographic questions were also included. Descriptive statistics were calculated and two Poisson regression models were built to determine independent predictors of: 1) the number of cancer warning signs recognized, and; 2) number of barriers to help seeking endorsed. Analysis identified that knowing someone with cancer was a significant independent predictor of recognising more cancer warning signs whereas Black and Minority Ethnic status was a significant independent predictor of recognising fewer cancer warning signs. Emotional barriers were the most commonly endorsed, followed by family, service and practical barriers. Over two thirds of adolescents were 'worried about what the doctor would find' and over half were 'scared'. Higher anxiety scores, knowing more cancer warning signs and female gender were significant independent predictors of barriers to help seeking. Improving cancer awareness and help seeking behaviour during adolescence may contribute to early presentation. Contextual factors (for example, ethnicity, gender, knowing someone with cancer), and

Online Feature Selection for Classifying Emphysema in HRCT Images

Directory of Open Access Journals (Sweden)

M. Prasad

2008-06-01

Full Text Available Feature subset selection, applied as a pre- processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier performance. In the classic formulation of the feature selection problem, it is assumed that all the features are available at the beginning. However, in many real world problems, there are scenarios where not all features are present initially and must be integrated as they become available. In such scenarios, online feature selection provides an efficient way to sort through a large space of features. It is in this context that we introduce online feature selection for the classification of emphysema, a smoking related disease that appears as low attenuation regions in High Resolution Computer Tomography (HRCT images. The technique was successfully evaluated on 61 HRCT scans and compared with different online feature selection approaches, including hill climbing, best first search, grafting, and correlation-based feature selection. The results were also compared against ldensity maskr, a standard approach used for emphysema detection in medical image analysis.

Specific features of vocal fold paralysis in functional computed tomography

International Nuclear Information System (INIS)

Laskowska, K.; Mackiewicz-Nartowicz, H.; Serafin, Z.; Nawrocka, E.

2008-01-01

Vocal fold paralysis is usually recognized in laryngological examination, and detailed vocal fold function may be established based on laryngovideostroboscopy. Additional imaging should exclude any morphological causes of the paresis, which should be treated pharmacologically or surgically. The aim of this paper was to analyze the computed tomography (CT) images of the larynx in patients with unilateral vocal fold paralysis. CT examinations of the larynx were performed in 10 patients with clinically defined unilateral vocal fold paralysis. The examinations consisted of unenhanced acquisition and enhanced 3-phased acquisition: during free breathing, Valsalva maneuver, and phonation. The analysis included the following morphologic features of the paresis.the deepened epiglottic vallecula, the deepened piriform recess, the thickened and medially positioned aryepiglottic fold, the widened laryngeal pouch, the anteriorly positioned arytenoid cartilage, the thickened vocal fold, and the filled infraglottic space in frontal CT reconstruction. CT images were compared to laryngovideostroboscopy. The most common symptoms of vocal cord paralysis in CT were the deepened epiglottic vallecula and piriform recess, the widened laryngeal pouch with the filled infraglottic space, and the thickened aryepiglottic fold. Regarding the efficiency of the paralysis determination, the three functional techniques of CT larynx imaging used did not differ significantly, and laryngovideostroboscopy demonstrated its advantage over CT. CT of the larynx is a supplementary examination in the diagnosis of vocal fold paralysis, which may enable topographic analysis of the fold dysfunction. The knowledge of morphological CT features of the paralysis may help to prevent false-positive diagnosis of laryngeal cancer. (author)

On the Use of Memory Models in Audio Features

DEFF Research Database (Denmark)

Jensen, Karl Kristoffer

2011-01-01

Audio feature estimation is potentially improved by including higher- level models. One such model is the Short Term Memory (STM) model. A new paradigm of audio feature estimation is obtained by adding the influence of notes in the STM. These notes are identified when the perceptual spectral flux...

Sharing and helping: predictors of adolescents' willingness to share diabetes personal health information with peers.

Science.gov (United States)

Vaala, Sarah E; Lee, Joyce M; Hood, Korey K; Mulvaney, Shelagh A

2018-02-01

Sharing personal information about type 1 diabetes (T1D) can help adolescents obtain social support, enhance social learning, and improve self-care. Diabetes technologies, online communities, and health interventions increasingly feature data-sharing components. This study examines factors underlying adolescents' willingness to share personal T1D information with peers. Participants were 134 adolescents (12-17 years of age; 56% female) who completed an online survey regarding experiences helping others with T1D, perceived social resources, beliefs about the value of sharing information and helping others, and willingness to share T1D information. Hemoglobin A1c values were obtained from medical records. Adolescents were more willing to share how they accomplished T1D tasks than how often they completed them, and least willing to share glucose control status. In multivariate analyses, sharing/helping beliefs (β = 0.26, P value; β = -0.26, P personal health information. Glucose control moderated relationships such that adolescents with worse A1c values had stronger relationships between sharing/helping beliefs and willingness to share (β = 0.18, P personal health information, particularly if they have better diabetes health status and a stronger belief in the benefits of sharing. Social learning and social media components may improve intervention participation, engagement, and outcomes by boosting adolescents' beliefs about the benefits of sharing information and helping others. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Sparse Bayesian classification and feature selection for biological expression data with high correlations.

Directory of Open Access Journals (Sweden)

Xian Yang

Full Text Available Classification models built on biological expression data are increasingly used to predict distinct disease subtypes. Selected features that separate sample groups can be the candidates of biomarkers, helping us to discover biological functions/pathways. However, three challenges are associated with building a robust classification and feature selection model: 1 the number of significant biomarkers is much smaller than that of measured features for which the search will be exhaustive; 2 current biological expression data are big in both sample size and feature size which will worsen the scalability of any search algorithms; and 3 expression profiles of certain features are typically highly correlated which may prevent to distinguish the predominant features. Unfortunately, most of the existing algorithms are partially addressing part of these challenges but not as a whole. In this paper, we propose a unified framework to address the above challenges. The classification and feature selection problem is first formulated as a nonconvex optimisation problem. Then the problem is relaxed and solved iteratively by a sequence of convex optimisation procedures which can be distributed computed and therefore allows the efficient implementation on advanced infrastructures. To illustrate the competence of our method over others, we first analyse a randomly generated simulation dataset under various conditions. We then analyse a real gene expression dataset on embryonal tumour. Further downstream analysis, such as functional annotation and pathway analysis, are performed on the selected features which elucidate several biological findings.

Feature Article

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education. Feature Article. Articles in Resonance – Journal of Science Education. Volume 1 Issue 1 January 1996 pp 80-85 Feature Article. What's New in Computers Windows 95 · Vijnan Shastri · More Details Fulltext PDF. Volume 1 Issue 1 January 1996 pp 86-89 Feature ...

Featureous: A Tool for Feature-Centric Analysis of Java Software

DEFF Research Database (Denmark)

Olszak, Andrzej; Jørgensen, Bo Nørregaard

2010-01-01

Feature-centric comprehension of source code is necessary for incorporating user-requested modifications during software evolution and maintenance. However, such comprehension is difficult to achieve in case of large object-oriented programs due to the size, complexity, and implicit character...... of mappings between features and source code. To support programmers in overcoming these difficulties, we present a feature-centric analysis tool, Featureous. Our tool extends the NetBeans IDE with mechanisms for efficient location of feature implementations in legacy source code, and an extensive analysis...

Helping Behavior in Executives' Global Networks

DEFF Research Database (Denmark)

Miller, Stewart; Mors, Marie Louise; McDonald, Michael

2014-01-01

Drawing on research on helping behavior in networks at the upper echelons, we develop and test theory about helping behavior in senior executive networks. We examine the location and relational dependence of the network contact. Our results reveal that executives are more likely to perceive...... insiders in their network to be helpful, but geographic location has no effect on expectations of receiving help. With regards to relational dependence: executives who are more dependent on their contacts are more likely to perceive them to be helpful. We also look at whether perceived helpfulness affects...... an executive’s willingness to engage in risky new business development -- an important performance indicator - and indeed find that those executives that perceive their networks to be helpful are more likely to be willing to take risky decisions. We test these arguments using primary data on 1845 relationships...

Young Men, Help-Seeking, and Mental Health Services: Exploring Barriers and Solutions.

Science.gov (United States)

Lynch, Louise; Long, Maggie; Moorhead, Anne

2018-01-01

International research has identified young men as reluctant to seek help for mental health problems. This research explored barriers and solutions to professional help seeking for mental health problems among young men living in the North West of Ireland. A qualitative approach, using two focus groups with six participants each and five face-to-face interviews, was conducted with men aged 18 to 24 years (total N = 17). Data were analyzed using thematic analysis. Seven key themes of barriers to professional help seeking were identified: "acceptance from peers," "personal challenges," "cultural and environmental influences," "self-medicating with alcohol," "perspectives around seeking professional help," "fear of homophobic responses," and "traditional masculine ideals." Five key themes of solutions to these barriers included "tailored mental health advertising," "integrating mental health into formal education," "education through semiformal support services," "accessible mental health care," and "making new meaning." Interesting findings on barriers include fear of psychiatric medication, fear of homophobic responses from professionals, the legacy of Catholic attitudes, and the genuine need for care. This study offers an in-depth exploration of how young men experience barriers and uniquely offers solutions identified by participants themselves. Youth work settings were identified as a resource for engaging young men in mental health work. Young men can be encouraged to seek help if services and professionals actively address barriers, combining advertising, services, and education, with particular attention and respect to how and when young men seek help and with whom they want to share their problems.

Refining borders of genome-rearrangements including repetitions

Directory of Open Access Journals (Sweden)

JA Arjona-Medina

2016-10-01

Full Text Available Abstract Background DNA rearrangement events have been widely studied in comparative genomic for many years. The importance of these events resides not only in the study about relatedness among different species, but also to determine the mechanisms behind evolution. Although there are many methods to identify genome-rearrangements (GR, the refinement of their borders has become a huge challenge. Until now no accepted method exists to achieve accurate fine-tuning: i.e. the notion of breakpoint (BP is still an open issue, and despite repeated regions are vital to understand evolution they are not taken into account in most of the GR detection and refinement methods. Methods and results We propose a method to refine the borders of GR including repeated regions. Instead of removing these repetitions to facilitate computation, we take advantage of them using a consensus alignment sequence of the repeated region in between two blocks. Using the concept of identity vectors for Synteny Blocks (SB and repetitions, a Finite State Machine is designed to detect transition points in the difference between such vectors. The method does not force the BP to be a region or a point but depends on the alignment transitions within the SBs and repetitions. Conclusion The accurate definition of the borders of SB and repeated genomic regions and consequently the detection of BP might help to understand the evolutionary model of species. In this manuscript we present a new proposal for such a refinement. Features of the SBs borders and BPs are different and fit with what is expected. SBs with more diversity in annotations and BPs short and richer in DNA replication and stress response, which are strongly linked with rearrangements.

Breast Cancer Detection with Reduced Feature Set

Directory of Open Access Journals (Sweden)

Ahmet Mert

2015-01-01

Full Text Available This paper explores feature reduction properties of independent component analysis (ICA on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC dataset is reduced to one-dimensional feature vector computing an independent component (IC. The original data with 30 features and reduced one feature (IC are used to evaluate diagnostic accuracy of the classifiers such as k-nearest neighbor (k-NN, artificial neural network (ANN, radial basis function neural network (RBFNN, and support vector machine (SVM. The comparison of the proposed classification using the IC with original feature set is also tested on different validation (5/10-fold cross-validations and partitioning (20%–40% methods. These classifiers are evaluated how to effectively categorize tumors as benign and malignant in terms of specificity, sensitivity, accuracy, F-score, Youden’s index, discriminant power, and the receiver operating characteristic (ROC curve with its criterion values including area under curve (AUC and 95% confidential interval (CI. This represents an improvement in diagnostic decision support system, while reducing computational complexity.

Benefits and Pitfalls of Multimedia and Interactive Features in Technology-Enhanced Storybooks: A Meta-Analysis.

Science.gov (United States)

Takacs, Zsofia K; Swart, Elise K; Bus, Adriana G

2015-12-01

A meta-analysis was conducted on the effects of technology-enhanced stories for young children's literacy development when compared to listening to stories in more traditional settings like storybook reading. A small but significant additional benefit of technology was found for story comprehension (g+ = 0.17) and expressive vocabulary (g+ = 0.20), based on data from 2,147 children in 43 studies. When investigating the different characteristics of technology-enhanced stories, multimedia features like animated pictures, music, and sound effects were found beneficial. In contrast, interactive elements like hotspots, games, and dictionaries were found to be distracting. Especially for children disadvantaged because of less stimulating family environments, multimedia features were helpful and interactive features were detrimental. Findings are discussed from the perspective of cognitive processing theories.

Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information

Directory of Open Access Journals (Sweden)

Atiyeh Mortazavi

2016-01-01

Full Text Available High dimensionality of microarray data sets may lead to low efficiency and overfitting. In this paper, a multiphase cooperative game theoretic feature selection approach is proposed for microarray data classification. In the first phase, due to high dimension of microarray data sets, the features are reduced using one of the two filter-based feature selection methods, namely, mutual information and Fisher ratio. In the second phase, Shapley index is used to evaluate the power of each feature. The main innovation of the proposed approach is to employ Qualitative Mutual Information (QMI for this purpose. The idea of Qualitative Mutual Information causes the selected features to have more stability and this stability helps to deal with the problem of data imbalance and scarcity. In the third phase, a forward selection scheme is applied which uses a scoring function to weight each feature. The performance of the proposed method is compared with other popular feature selection algorithms such as Fisher ratio, minimum redundancy maximum relevance, and previous works on cooperative game based feature selection. The average classification accuracy on eleven microarray data sets shows that the proposed method improves both average accuracy and average stability compared to other approaches.

New mobile App to help doctors evaluate cancer in women

International Nuclear Information System (INIS)

Jawerth, Nicole

2016-01-01

Optimizing cancer care for women is the aim of a new mobile app designed to help doctors evaluate more quickly and accurately the extent of cancer in female reproductive organs and select the most appropriate treatment. The app also includes investigation and management strategies based on best practices as endorsed by the International Federation of Gynecology and Obstetrics (FIGO). The FIGO Gyn Cancer Management app is available for use on iOS and Android devices. The new app is useful for a range of medical specialists, including gynaecologists, oncologists, pathologists and surgeons. Cancer management is an important strand of the IAEA’s work worldwide. It contributes to helping countries achieve the United Nations Sustainable Development Goals and, in particular, the target of reducing the burden of non-communicable diseases, such as cancer, by one third by 2030.

New mobile App to help doctors evaluate cancer in women

International Nuclear Information System (INIS)

Jawerth, Nicole

2016-01-01

Optimizing cancer care for women is the aim of a new mobile app designed to help doctors evaluate more quickly and accurately the extent of cancer in female reproductive organs and select the most appropriate treatment. The app also includes investigation and management strategies based on best practices as endorsed by the International Federation of Gynecology and Obstetrics (FIGO). The FIGO Gyn Cancer Management app is available for use on iOS and Android devices. The new app is useful for a range of medical specialists, including gynaecologists, oncologists, pathologists and surgeons. Cancer management is an important strand of the IAEA’s work worldwide. It contributes to helping countries achieve the United Nations Sustainable Development Goals and, in particular, the target of reducing the burden of non-communicable diseases, such as cancer, by one third by 2030

Feature level review table generation for E-Commerce websites to produce qualitative rating of the products

Directory of Open Access Journals (Sweden)

D.R. Kumar Raja

2017-12-01

Full Text Available It is widely acknowledged today that E-Commerce business is growing rapidly. This is happened only because of people are completely depending on the ratings and reviews given by the customers who are already purchased and using the products. Online surveys, customer reviews on shopping sites are the key sources to understand customer requirements and feedback to help upgrade the product quality and achieve greater outcomes. Now the challenge is that whether those reviews came from product level or feature level will be the million dollar question. To overcome this problem we are proposing a new algorithm to give feature level rating for the product which is called Feature Level Review Rating Analysis (FLRRA algorithm.

Shapes and features of the primordial bispectrum

Energy Technology Data Exchange (ETDEWEB)

Gong, Jinn-Ouk [Asia Pacific Center for Theoretical Physics, Cheongam-ro 67, Pohang, 37673 (Korea, Republic of); Palma, Gonzalo A.; Sypsas, Spyros, E-mail: jinn-ouk.gong@apctp.org, E-mail: gpalmaquilod@ing.uchile.cl, E-mail: s.sypsas@gmail.com [Departamento de Física, FCFM, Universidad de Chile, Blanco Encalada 2008, Santiago, 837.0415 Chile (Chile)

2017-05-01

If time-dependent disruptions from slow-roll occur during inflation, the correlation functions of the primordial curvature perturbation should have scale-dependent features, a case which is marginally supported from the cosmic microwave background (CMB) data. We offer a new approach to analyze the appearance of such features in the primordial bispectrum that yields new consistency relations and justifies the search of oscillating patterns modulated by orthogonal and local templates. Under the assumption of sharp features, we find that the cubic couplings of the curvature perturbation can be expressed in terms of the bispectrum in two specific momentum configurations, for example local and equilateral. This allows us to derive consistency relations among different bispectrum shapes, which in principle could be tested in future CMB surveys. Furthermore, based on the form of the consistency relations, we construct new two-parameter templates for features that include all the known shapes.

Extending the MEDAS Feature Dictionary to Support Access to Radiological Images

OpenAIRE

Kaufman, Bryan L.; Naeymi-Rad, Frank; Charletta, Dale A.; Kepic, Anna; Trace, David A.; Naeymirad, Shon; Carmony, Lowell; Spigos, Dimitrios; Evens, Martha

1989-01-01

This paper discusses a method of adding a library of radiological images to MEDAS (the Medical Emergency Decision Assistance System). This library is interfaced with the MEDAS Feature Dictionary [1, 2], a dictionary containing terminology for MEDAS knowledge bases. The connections between the radiological images and the terms in the dictionary are used in two ways: 1) To retrieve the images with free text queries. 2) To help in the evaluation of radiological findings during the diagnostic cyc...

Help-Seeking on Facebook Versus More Traditional Sources of Help: Cross-Sectional Survey of Military Veterans.

Science.gov (United States)

Teo, Alan R; Marsh, Heather E; Liebow, Samuel B L; Chen, Jason I; Forsberg, Christopher W; Nicolaidis, Christina; Saha, Somnath; Dobscha, Steven K

2018-02-26

The media has devoted significant attention to anecdotes of individuals who post messages on Facebook prior to suicide. However, it is unclear to what extent social media is perceived as a source of help or how it compares to other sources of potential support for mental health problems. This study aimed to evaluate the degree to which military veterans with depression use social media for help-seeking in comparison to other more traditional sources of help. Cross-sectional self-report survey of 270 adult military veterans with probable major depression. Help-seeking intentions were measured with a modified General Help-Seeking Questionnaire. Facebook users and nonusers were compared via t tests, Chi-square, and mixed effects regression models. Associations between types of help-seeking were examined using mixed effects models. The majority of participants were users of social media, primarily Facebook (n=162). Mean overall help-seeking intentions were similar between Facebook users and nonusers, even after adjustment for potential confounders. Facebook users were very unlikely to turn to Facebook as a venue for support when experiencing either emotional problems or suicidal thoughts. Compared to help-seeking intentions for Facebook, help-seeking intentions for formal (eg, psychologists), informal (eg, friends), or phone helpline sources of support were significantly higher. Results did not substantially change when examining users of other social media, women, or younger adults. In its current form, the social media platform Facebook is not seen as a venue to seek help for emotional problems or suicidality among veterans with major depression in the United States. ©Alan R Teo, Heather E Marsh, Samuel B L Liebow, Jason I Chen, Christopher W Forsberg, Christina Nicolaidis, Somnath Saha, Steven K Dobscha. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.02.2018.

Proscene: A feature-rich framework for interactive environments

Directory of Open Access Journals (Sweden)

Jean Pierre Charalambos

2017-01-01

Full Text Available We introduce Proscene, a feature-rich, open-source framework for interactive environments. The design of Proscene comprises a three-layered onion-like software architecture, promoting different possible development scenarios. The framework innermost layer decouples user gesture parsing from user-defined actions. The in-between layer implements a feature-rich set of widely-used motion actions allowing the selection and manipulation of objects, including the scene viewpoint. The outermost layer exposes those features as a Processing library. The results have shown the feasibility of our approach together with the simplicity and flexibility of the Proscene framework API.

Brachydactyly E: isolated or as a feature of a syndrome.

Science.gov (United States)

Pereda, Arrate; Garin, Intza; Garcia-Barcina, Maria; Gener, Blanca; Beristain, Elena; Ibañez, Ane Miren; Perez de Nanclares, Guiomar

2013-09-12

Brachydactyly (BD) refers to the shortening of the hands, feet or both. There are different types of BD; among them, type E (BDE) is a rare type that can present as an isolated feature or as part of more complex syndromes, such as: pseudohypopthyroidism (PHP), hypertension with BD or Bilginturan BD (HTNB), BD with mental retardation (BDMR) or BDE with short stature, PTHLH type. Each syndrome has characteristic patterns of skeletal involvement. However, brachydactyly is not a constant feature and shows a high degree of phenotypic variability. In addition, there are other syndromes that can be misdiagnosed as brachydactyly type E, some of which will also be discussed. The objective of this review is to describe some of the syndromes in which BDE is present, focusing on clinical, biochemical and genetic characteristics as features of differential diagnoses, with the aim of establishing an algorithm for their differential diagnosis. As in our experience many of these patients are recruited at Endocrinology and/or Pediatric Endocrinology Services due to their short stature, we have focused the algorithm in those steps that could mainly help these professionals.

Salient Region Detection via Feature Combination and Discriminative Classifier

Directory of Open Access Journals (Sweden)

Deming Kong

2015-01-01

Full Text Available We introduce a novel approach to detect salient regions of an image via feature combination and discriminative classifier. Our method, which is based on hierarchical image abstraction, uses the logistic regression approach to map the regional feature vector to a saliency score. Four saliency cues are used in our approach, including color contrast in a global context, center-boundary priors, spatially compact color distribution, and objectness, which is as an atomic feature of segmented region in the image. By mapping a four-dimensional regional feature to fifteen-dimensional feature vector, we can linearly separate the salient regions from the clustered background by finding an optimal linear combination of feature coefficients in the fifteen-dimensional feature space and finally fuse the saliency maps across multiple levels. Furthermore, we introduce the weighted salient image center into our saliency analysis task. Extensive experiments on two large benchmark datasets show that the proposed approach achieves the best performance over several state-of-the-art approaches.

Ethical leadership, employee well-being, and helping: the moderating role of human resource management

NARCIS (Netherlands)

Kalshoven, K.; Boon, C.T.

2012-01-01

In this multi-source study, we examined the link between ethical leadership, human resource management (HRM), employee well-being, and helping. Based on the Conservation of Resources Theory, we proposed a mediated moderation model linking ethical leadership to helping, which includes well-being as

Fuzzy Relational Compression Applied on Feature Vectors for Infant Cry Recognition

Science.gov (United States)

Reyes-Galaviz, Orion Fausto; Reyes-García, Carlos Alberto

Data compression is always advisable when it comes to handling and processing information quickly and efficiently. There are two main problems that need to be solved when it comes to handling data; store information in smaller spaces and processes it in the shortest possible time. When it comes to infant cry analysis (ICA), there is always the need to construct large sound repositories from crying babies. Samples that have to be analyzed and be used to train and test pattern recognition algorithms; making this a time consuming task when working with uncompressed feature vectors. In this work, we show a simple, but efficient, method that uses Fuzzy Relational Product (FRP) to compresses the information inside a feature vector, building with this a compressed matrix that will help us recognize two kinds of pathologies in infants; Asphyxia and Deafness. We describe the sound analysis, which consists on the extraction of Mel Frequency Cepstral Coefficients that generate vectors which will later be compressed by using FRP. There is also a description of the infant cry database used in this work, along with the training and testing of a Time Delay Neural Network with the compressed features, which shows a performance of 96.44% with our proposed feature vector compression.

Investigating the influence of product perception and geometric features

DEFF Research Database (Denmark)

Perez Mata, Marta; Ahmed-Kristensen, Saeema; Brockhoff, Per B.

2017-01-01

. Surveys were conducted with 71 participants to gather their perceptions of 11 vase concepts. Advanced statistical analyses, including mixed models, were applied to allow generalisation of the results beyond the data sample. Significant relations between the desire to own a product and how the product......Research in emotional design and Kansei Engineering has shown that aesthetics play a significant role in the appeal of a product. This paper contributes to establishing a methodology to identify the relationships between perceptions, aesthetic features, desire to own and background of consumers...... and was simple and tall). An automated mixed model analysis was conducted and revealed that general rules can be found between aesthetic features, perceptions and ownership, which can apply across gender and culture. The findings include design rules that link aesthetic features with perceptions...

Demonstration of IGCC features - plant integration and syngas combustion

Energy Technology Data Exchange (ETDEWEB)

Hannemann, F.; Huth, M.; Karg, J.; Schiffers, U. [Siemens AG Power Generation (KWU), Erlanger/Muelheim (Germany)

2000-07-01

Siemens is involved in three IGCC plants in Europe that are currently in operation. Against the background of the Puertollano and Buggenum plants, some of the specific new features of fully integrated IGCC power plants are discussed, including: requirements and design features of the gas turbine syngas supply system; gas turbine operating experience with air extraction for the air separation unit from the gas turbine air compressor; and design requirements and operational features of the combustion system. 7 refs., 17 figs., 1 tab.

The urban features of informal settlements in Jakarta, Indonesia

Directory of Open Access Journals (Sweden)

Waleed Alzamil

2017-12-01

Full Text Available This data article contains the urban features of three informal settlements in Jakarta: A. Kampung Bandan; B. Kampung Luar Batang; And C. Kampung Muara Baru. The data describes the urban features of physical structures, infrastructures, and public services. These data include maps showing locations of these settlements, photography of urban status, and examples of urban fabric. The data are obtained from the statistical records and field surveys of three settlements cases. Keywords: Informal settlements, Physical, Features, Urban, Kampung, Jakarta, Indonesia

Cross-Domain Semi-Supervised Learning Using Feature Formulation.

Science.gov (United States)

Xingquan Zhu

2011-12-01

Semi-Supervised Learning (SSL) traditionally makes use of unlabeled samples by including them into the training set through an automated labeling process. Such a primitive Semi-Supervised Learning (pSSL) approach suffers from a number of disadvantages including false labeling and incapable of utilizing out-of-domain samples. In this paper, we propose a formative Semi-Supervised Learning (fSSL) framework which explores hidden features between labeled and unlabeled samples to achieve semi-supervised learning. fSSL regards that both labeled and unlabeled samples are generated from some hidden concepts with labeling information partially observable for some samples. The key of the fSSL is to recover the hidden concepts, and take them as new features to link labeled and unlabeled samples for semi-supervised learning. Because unlabeled samples are only used to generate new features, but not to be explicitly included in the training set like pSSL does, fSSL overcomes the inherent disadvantages of the traditional pSSL methods, especially for samples not within the same domain as the labeled instances. Experimental results and comparisons demonstrate that fSSL significantly outperforms pSSL-based methods for both within-domain and cross-domain semi-supervised learning.

Mapping the Indonesian territory, based on pollution, social demography and geographical data, using self organizing feature map

Science.gov (United States)

Hernawati, Kuswari; Insani, Nur; Bambang S. H., M.; Nur Hadi, W.; Sahid

2017-08-01

This research aims to mapping the 33 (thirty-three) provinces in Indonesia, based on the data on air, water and soil pollution, as well as social demography and geography data, into a clustered model. The method used in this study was unsupervised method that combines the basic concept of Kohonen or Self-Organizing Feature Maps (SOFM). The method is done by providing the design parameters for the model based on data related directly/ indirectly to pollution, which are the demographic and social data, pollution levels of air, water and soil, as well as the geographical situation of each province. The parameters used consists of 19 features/characteristics, including the human development index, the number of vehicles, the availability of the plant's water absorption and flood prevention, as well as geographic and demographic situation. The data used were secondary data from the Central Statistics Agency (BPS), Indonesia. The data are mapped into SOFM from a high-dimensional vector space into two-dimensional vector space according to the closeness of location in term of Euclidean distance. The resulting outputs are represented in clustered grouping. Thirty-three provinces are grouped into five clusters, where each cluster has different features/characteristics and level of pollution. The result can used to help the efforts on prevention and resolution of pollution problems on each cluster in an effective and efficient way.

Automatic feature extraction in large fusion databases by using deep learning approach

Energy Technology Data Exchange (ETDEWEB)

Farias, Gonzalo, E-mail: gonzalo.farias@ucv.cl [Pontificia Universidad Católica de Valparaíso, Valparaíso (Chile); Dormido-Canto, Sebastián [Departamento de Informática y Automática, UNED, Madrid (Spain); Vega, Jesús; Rattá, Giuseppe [Asociación EURATOM/CIEMAT Para Fusión, CIEMAT, Madrid (Spain); Vargas, Héctor; Hermosilla, Gabriel; Alfaro, Luis; Valencia, Agustín [Pontificia Universidad Católica de Valparaíso, Valparaíso (Chile)

2016-11-15

Highlights: • Feature extraction is a very critical stage in any machine learning algorithm. • The problem dimensionality can be reduced enormously when selecting suitable attributes. • Despite the importance of feature extraction, the process is commonly done manually by trial and error. • Fortunately, recent advances in deep learning approach have proposed an encouraging way to find a good feature representation automatically. • In this article, deep learning is applied to the TJ-II fusion database to get more robust and accurate classifiers in comparison to previous work. - Abstract: Feature extraction is one of the most important machine learning issues. Finding suitable attributes of datasets can enormously reduce the dimensionality of the input space, and from a computational point of view can help all of the following steps of pattern recognition problems, such as classification or information retrieval. However, the feature extraction step is usually performed manually. Moreover, depending on the type of data, we can face a wide range of methods to extract features. In this sense, the process to select appropriate techniques normally takes a long time. This work describes the use of recent advances in deep learning approach in order to find a good feature representation automatically. The implementation of a special neural network called sparse autoencoder and its application to two classification problems of the TJ-II fusion database is shown in detail. Results have shown that it is possible to get robust classifiers with a high successful rate, in spite of the fact that the feature space is reduced to less than 0.02% from the original one.

Automatic feature extraction in large fusion databases by using deep learning approach

International Nuclear Information System (INIS)

Farias, Gonzalo; Dormido-Canto, Sebastián; Vega, Jesús; Rattá, Giuseppe; Vargas, Héctor; Hermosilla, Gabriel; Alfaro, Luis; Valencia, Agustín

2016-01-01

Highlights: • Feature extraction is a very critical stage in any machine learning algorithm. • The problem dimensionality can be reduced enormously when selecting suitable attributes. • Despite the importance of feature extraction, the process is commonly done manually by trial and error. • Fortunately, recent advances in deep learning approach have proposed an encouraging way to find a good feature representation automatically. • In this article, deep learning is applied to the TJ-II fusion database to get more robust and accurate classifiers in comparison to previous work. - Abstract: Feature extraction is one of the most important machine learning issues. Finding suitable attributes of datasets can enormously reduce the dimensionality of the input space, and from a computational point of view can help all of the following steps of pattern recognition problems, such as classification or information retrieval. However, the feature extraction step is usually performed manually. Moreover, depending on the type of data, we can face a wide range of methods to extract features. In this sense, the process to select appropriate techniques normally takes a long time. This work describes the use of recent advances in deep learning approach in order to find a good feature representation automatically. The implementation of a special neural network called sparse autoencoder and its application to two classification problems of the TJ-II fusion database is shown in detail. Results have shown that it is possible to get robust classifiers with a high successful rate, in spite of the fact that the feature space is reduced to less than 0.02% from the original one.

Wind Atlas Analysis and Application Program: WAsP 11 Help Facility

DEFF Research Database (Denmark)

2014-01-01

of specific wind turbines and wind farms. The WAsP Help Facility includes a Quick Start Tutorial, a User's Guide and a Technical Reference. It further includes descriptions of the Observed Wind Climate Wizard, the WAsP Climate Analyst, the WAsP Map Editor tool, the WAsP Turbine Editor tool, the Air Density...

Extrinsic and Intrinsic Help-Seeking Motivation in the Assessment of Cognitive Decline.

Science.gov (United States)

Haussmann, Robert; Mayer-Pelinski, René; Borchardt, Maike; Beier, Fabrice; Helling, Franziska; Buthut, Maria; Meissner, Gisa; Lange, Jan; Zweiniger, Anne; Donix, Markus

2018-06-01

Diagnostic assessments for dementia include the evaluation of subjective memory impairment, dementia worries, or depressive symptoms. Data on the predictive value of these factors remain unclear, and varying help-seeking behavior may contribute to this finding. We investigate whether differentiating help-seeking motivation from other psychological factors associated with cognitive impairment would enhance the prediction of diagnostic outcomes in a memory clinic. We obtained information on help-seeking motivation from 171 patients who underwent routine diagnostic assessments. Utilizing a discriminant correspondence analysis, our results indicate that extrinsic motivation increases the likelihood of receiving a dementia diagnosis, whereas depression or the duration of deficits carries discriminatory information to further guide the differentiation of prodromal dementia. Recognizing motivational aspects of help-seeking behavior can complement the clinical evaluation of cognitive performance.

Wearable technology to help with visual challenges - two case studies.

Science.gov (United States)

Kálmán, Viktor; Baczó, Csaba; Livadas, Makis; Csielka, Tamás

2015-01-01

Today as embedded computing technology and sensors become cheaper and smaller wearable technologies experience an unprecedented boom. This article presents two wearable systems that aim to help people with low vision and the blind in performing everyday tasks and doing sports. DIGIGLASSES is a project aimed at creating a pair of augmented reality digital glasses that present controlled light and contrast levels and marks selectable features on the field of vision to aid in everyday tasks. BLINDTRACK is guidance system that uses wireless localization and an innovative haptic feedback belt to guide blind runners along the running track. Both systems are briefly presented along with the most relevant technical details and user feedback where applicable. Both projects were funded by the EU FP7. Corresponding author V. Kalman: viktor.kalman@ateknea.com.

Some medical and biological reasons of drunkenness and alcoholism and feature of their medico-legal establishment

Directory of Open Access Journals (Sweden)

Г. А. Білецька

2014-12-01

Full Text Available The article is sanctified to some вiomedical questions of reasons of drunkenness and alcoholism, and also features of their establishment in practice of medico-legal expert in the process of examining and dead body of living man. Study of constitutional and individual features of organism of man, terms of stay and reception of алкогоя help more exactly to diagnose the state of alcoholic intoxication, that is reflected in the conclusion of expert and can be proof on criminal and civil cases.

Burnout: need help?

Science.gov (United States)

Gulalp, Betul; Karcioglu, Ozgur; Sari, Azade; Koseoglu, Zikret

2008-12-05

Burnout syndrome is a psychological situation induced with working, especially in high-risk parts of the hospitals that affects the physical and mental conditions of the staff. The aim is to identify the characteristics of the staff related to Burnout Syndrome in the Emergency Department (ED). The study includes the Maslach Burnout Inventory and other new individual research questions. The responders were the volunteers and comprised physicians, nurses, nurses' aides from EDs of all urban state hospitals of Adana (43.3%). Burnout scores were analyzed with regard to individual characteristics; supplementary work, marital status, the number of children, occupation, salary, career satisfaction, satisfaction in private life. Mann-Whitney U test and Kruskall-Wallis test were performed using SPSS 15.00. There were no relation between Burnout scores and supplementary work, marital status, number of children, occupation, salary, private life satisfaction, except for career satisfaction. Presence and severity of Burnout syndrome were linked to career satisfaction without personal features and salaries. All branches of healthcare occupations in ED seem to have been affected by Burnout Syndrome similarly.

Feature activation during word recognition: action, visual, and associative-semantic priming effects

Directory of Open Access Journals (Sweden)

Kevin J.Y. Lam

2015-05-01

Full Text Available Embodied theories of language postulate that language meaning is stored in modality-specific brain areas generally involved in perception and action in the real world. However, the temporal dynamics of the interaction between modality-specific information and lexical-semantic processing remain unclear. We investigated the relative timing at which two types of modality-specific information (action-based and visual-form information contribute to lexical-semantic comprehension. To this end, we applied a behavioral priming paradigm in which prime and target words were related with respect to (1 action features, (2 visual features, or (3 semantically associative information. Using a Go/No-Go lexical decision task, priming effects were measured across four different inter-stimulus intervals (ISI = 100 ms, 250 ms, 400 ms, and 1,000 ms to determine the relative time course of the different features . Notably, action priming effects were found in ISIs of 100 ms, 250 ms, and 1,000 ms whereas a visual priming effect was seen only in the ISI of 1,000 ms. Importantly, our data suggest that features follow different time courses of activation during word recognition. In this regard, feature activation is dynamic, measurable in specific time windows but not in others. Thus the current study (1 demonstrates how multiple ISIs can be used within an experiment to help chart the time course of feature activation and (2 provides new evidence for embodied theories of language.

CT and MR features of xanthogranulomatous cholecystitis: An analysis of consecutive 49 cases

International Nuclear Information System (INIS)

Zhao, Feng; Lu, Pu-Xuan; Yan, Sen-Xiang; Wang, Gao-Feng; Yuan, Jing; Zhang, Shi-Zheng; Wang, Yi-Xiang J.

2013-01-01

Objective: To study the CT and MR features of xanthogranulomatous cholecystitis (XGC). Materials and methods: 49 patients had pathologically confirmed XGC. All patients underwent contrast enhanced CT, and 10 patients had additional plain MRI. The CT and MRI results were retrospectively analyzed. Results: On CT, all patients had thickening of gallbladder wall, with 87.8% cases showed diffuse thickening. 85.7% cases had intramural hypo-attenuated nodules in the thickened wall. Continuous mucosal line and luminal surface enhancement were noted in 79.6% and 85.7% cases, respectively. Gallbladder stones were seen in 69.4% patients. The coexistence of the above 5 CT features was seen in 40% cases, and 80% cases had the coexistence of ≥4 features. Diffused gallbladder wall thickening in XGC is more likely to have disrupted mucosal line, and XGC with disrupted mucosal line is more likely to be associated with liver infiltration. In 60% patients the inflammatory process extended beyond gallbladder, with the interface between gallbladder and liver and/or the surrounding fat blurred. 40% cases had an early enhancement of liver parenchyma. Infiltration to other surrounding tissues included bowel (n = 3), stomach (n = 2), and abdominal wall (n = 1). On MR images, 7 of 9 intramural nodules in 7 subjects with T1-weighted dual echo MR images showed higher signal intensity on in-phase images than out-of-phase images. Conclusion: Coexisting of diffuse gallbladder wall thickening, hypo-attenuated intramural nodules, continuous mucosal line, luminal surface enhancement, and gallbladder stone highly suggest XGC. XGC frequently infiltrate liver and surrounding fat. Chemical-shift MRI helps classifying intramural nodules in the gallbladder wall

CT and MR features of xanthogranulomatous cholecystitis: An analysis of consecutive 49 cases

Energy Technology Data Exchange (ETDEWEB)

Zhao, Feng [Department of Radiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou 310016 (China); Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong (China); Lu, Pu-Xuan [Department of Radiology, Shenzhen Third People' s Hospital, Guangdong Medical College, Shenzhen 518020 (China); Yan, Sen-Xiang [Department of Radiation Oncology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003 (China); Wang, Gao-Feng [Department of Radiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou 310016 (China); Yuan, Jing [Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong (China); Zhang, Shi-Zheng, E-mail: shizhengzhang@hotmail.com [Department of Radiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou 310016 (China); Wang, Yi-Xiang J., E-mail: yixiang_wang@cuhk.edu.hk [Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong (China); Department of Radiology, Shenzhen Third People' s Hospital, Guangdong Medical College, Shenzhen 518020 (China)

2013-09-15

Objective: To study the CT and MR features of xanthogranulomatous cholecystitis (XGC). Materials and methods: 49 patients had pathologically confirmed XGC. All patients underwent contrast enhanced CT, and 10 patients had additional plain MRI. The CT and MRI results were retrospectively analyzed. Results: On CT, all patients had thickening of gallbladder wall, with 87.8% cases showed diffuse thickening. 85.7% cases had intramural hypo-attenuated nodules in the thickened wall. Continuous mucosal line and luminal surface enhancement were noted in 79.6% and 85.7% cases, respectively. Gallbladder stones were seen in 69.4% patients. The coexistence of the above 5 CT features was seen in 40% cases, and 80% cases had the coexistence of ≥4 features. Diffused gallbladder wall thickening in XGC is more likely to have disrupted mucosal line, and XGC with disrupted mucosal line is more likely to be associated with liver infiltration. In 60% patients the inflammatory process extended beyond gallbladder, with the interface between gallbladder and liver and/or the surrounding fat blurred. 40% cases had an early enhancement of liver parenchyma. Infiltration to other surrounding tissues included bowel (n = 3), stomach (n = 2), and abdominal wall (n = 1). On MR images, 7 of 9 intramural nodules in 7 subjects with T1-weighted dual echo MR images showed higher signal intensity on in-phase images than out-of-phase images. Conclusion: Coexisting of diffuse gallbladder wall thickening, hypo-attenuated intramural nodules, continuous mucosal line, luminal surface enhancement, and gallbladder stone highly suggest XGC. XGC frequently infiltrate liver and surrounding fat. Chemical-shift MRI helps classifying intramural nodules in the gallbladder wall.

Young Men, Help-Seeking, and Mental Health Services: Exploring Barriers and Solutions

Science.gov (United States)

Lynch, Louise; Long, Maggie; Moorhead, Anne

2016-01-01

International research has identified young men as reluctant to seek help for mental health problems. This research explored barriers and solutions to professional help seeking for mental health problems among young men living in the North West of Ireland. A qualitative approach, using two focus groups with six participants each and five face-to-face interviews, was conducted with men aged 18 to 24 years (total N = 17). Data were analyzed using thematic analysis. Seven key themes of barriers to professional help seeking were identified: “acceptance from peers,” “personal challenges,” “cultural and environmental influences,” “self-medicating with alcohol,” “perspectives around seeking professional help,” “fear of homophobic responses,” and “traditional masculine ideals.” Five key themes of solutions to these barriers included “tailored mental health advertising,” “integrating mental health into formal education,” “education through semiformal support services,” “accessible mental health care,” and “making new meaning.” Interesting findings on barriers include fear of psychiatric medication, fear of homophobic responses from professionals, the legacy of Catholic attitudes, and the genuine need for care. This study offers an in-depth exploration of how young men experience barriers and uniquely offers solutions identified by participants themselves. Youth work settings were identified as a resource for engaging young men in mental health work. Young men can be encouraged to seek help if services and professionals actively address barriers, combining advertising, services, and education, with particular attention and respect to how and when young men seek help and with whom they want to share their problems. PMID:27365212

Imaging features of multicentric Castleman's disease in HIV infection

International Nuclear Information System (INIS)

Hillier, J.C.; Shaw, P.; Miller, R.F.; Cartledge, J.D.; Nelson, M.; Bower, M.; Francis, N.; Padley, S.P.

2004-01-01

AIM: To describe the computed tomography (CT) features of human immunodeficiency virus (HIV)-associated Castleman's disease. MATERIALS AND METHODS: Nine HIV-positive patients with biopsy-proven Castleman's disease were studied. Clinical and demographic data, CD4 count, histological diagnosis and human herpes type 8 (HHV8) serology or immunostaining results were recorded. CT images were reviewed independently by two radiologists. RESULTS: CT findings included splenomegaly (n=7) and peripheral lymph node enlargement (axillary n=8, inguinal n=4). All nodes displayed mild to avid enhancement after intravenous administration of contrast material. Hepatomegaly was evident in seven patients. Other features included abdominal (n=6) and mediastinal (n=5) lymph node enlargement and pulmonary abnormalities (n=4). Patterns of parenchymal abnormality included bronchovascular nodularity (n=2), consolidation (n=1) and pleural effusion (n=2). On histological examination eight patients (spleen n=3, lymph node n=9, lung n=1 bone marrow n=1) had the plasma cell variant and one had mixed hyaline-vascular/plasma cell variant. The majority had either positive immunostaining for HHV8 or positive serology (n=8). CONCLUSION: Common imaging features of multicentric Castleman's disease in HIV infection are hepatosplenomegaly and peripheral lymph node enlargement. Although these imaging features may suggest the diagnosis in the appropriate clinical context, they lack specificity and so biopsy is needed for diagnosis. In distinction from multicentric Castleman's disease in other populations the plasma cell variant is most commonly encountered, splenomegaly is a universal feature and there is a strong association with Kaposi's sarcoma

Slowly progressive fluent aphasia; Clinical features and an imaging study including MRI, SPECT and PET

Energy Technology Data Exchange (ETDEWEB)

Sakurai, Yasuhisa; Momose, Toshimitsu; Watanabe, Toshiaki; Ishikawa, Takashi; Iwata, Makoto (Tokyo Univ. (Japan). Faculty of Medicine); Bando, Mitsuaki

1991-05-01

Three patients with slowly progressive fluent aphasia are reported. One of the patients presented with memory disturbance. They were characterized clinically by having selective deficits in vocabulary, which resulted in impairment of confrontation naming, and auditory comprehension. MRI showed an atrophy not only in the left temporal lobe (including the superior, middle and inferior temporal gyri), hippocampus, parahippocampual gyrus, and fusiform gyrus, but also in the left parietal lobe. I-123 IMP SPECT and F-18 FDG PET were used to determine regional cerebral blood flow and regional cerebral metabolic rate, respectively. In addition to the decreased tracer uptake in the left temporal and/or parietal lobe, a decreased uptake was seen in the bilateral basal ganglia, the inner side of the temporal lobe (including the bilateral hippocampus), the right anterior temporal lobe, and the left thalamus. These findings may deny the previous thought that lesions are localized in slowly progressive fluent aphasia. Furthermore, noticeable difficulty in naming, i.e., patients unable to recognize the right answer, are considered attributable to widespread lesions from the whole left temporal lobe, including the hippocampus, to the right temporal lobe. (N.K.).

The university students’ life satisfactions: Psychological help- seeking attitude and hopelessness

Directory of Open Access Journals (Sweden)

Zeynep Karataş

2014-08-01

Full Text Available This research aims to reveal to what extent university students’ attitudes towards their psychological help seeking and hopelessness predict theirlife satisfaction. Participants of the study consist of 359 university students, including 178 female and 181 male. In the research, Life Satisfaction Scale, Psychological Help- Seeking Attitude Scale, Beck Hopelessness Scale and Personal Information Form were used as data collection tools. For the analyses of the research, Regression Analyses were made, and it was determined that university students’ attitudes of seeking for psychological help and their hopelessness levels significantly predicted their life satisfactions. Considering these findings, the analyses of the factors that affect university students’ life satisfactions may be instructive in determining the targets for the studies of psychological counselling

Recent Development of the Two-Stroke Engine. II - Design Features. 2; Design Features

Science.gov (United States)

Zeman, J.

1945-01-01

Completing the first paper dealing with charging methods and arrangements, the present paper discusses the design forms of two-stroke engines. Features which largely influence piston running are: (a) The shape and surface condition of the sliding parts. (b) The cylinder and piston materials. (c) Heat conditions in the piston, and lubrication. There is little essential difference between four-stroke and two-stroke engines with ordinary pistons. In large engines, for example, are always found separately cast or welded frames in which the stresses are taken up by tie rods. Twin piston and timing piston engines often differ from this design. Examples can be found in many engines of German or foreign make. Their methods of operation will be dealt with in the third part of the present paper, which also includes the bibliography. The development of two-stroke engine design is, of course, mainly concerned with such features as are inherently difficult to master; that is, the piston barrel and the design of the gudgeon pin bearing. Designers of four-stroke engines now-a-days experience approximately the same difficulties, since heat stresses have increased to the point of influencing conditions in the piston barrel. Features which notably affect this are: (a) The material. (b) Prevailing heat conditions.

Identification of protein features encoded by alternative exons using Exon Ontology.

Science.gov (United States)

Tranchevent, Léon-Charles; Aubé, Fabien; Dulaurier, Louis; Benoit-Pilven, Clara; Rey, Amandine; Poret, Arnaud; Chautard, Emilie; Mortada, Hussein; Desmet, François-Olivier; Chakrama, Fatima Zahra; Moreno-Garcia, Maira Alejandra; Goillot, Evelyne; Janczarski, Stéphane; Mortreux, Franck; Bourgeois, Cyril F; Auboeuf, Didier

2017-06-01

Transcriptomic genome-wide analyses demonstrate massive variation of alternative splicing in many physiological and pathological situations. One major challenge is now to establish the biological contribution of alternative splicing variation in physiological- or pathological-associated cellular phenotypes. Toward this end, we developed a computational approach, named "Exon Ontology," based on terms corresponding to well-characterized protein features organized in an ontology tree. Exon Ontology is conceptually similar to Gene Ontology-based approaches but focuses on exon-encoded protein features instead of gene level functional annotations. Exon Ontology describes the protein features encoded by a selected list of exons and looks for potential Exon Ontology term enrichment. By applying this strategy to exons that are differentially spliced between epithelial and mesenchymal cells and after extensive experimental validation, we demonstrate that Exon Ontology provides support to discover specific protein features regulated by alternative splicing. We also show that Exon Ontology helps to unravel biological processes that depend on suites of coregulated alternative exons, as we uncovered a role of epithelial cell-enriched splicing factors in the AKT signaling pathway and of mesenchymal cell-enriched splicing factors in driving splicing events impacting on autophagy. Freely available on the web, Exon Ontology is the first computational resource that allows getting a quick insight into the protein features encoded by alternative exons and investigating whether coregulated exons contain the same biological information. © 2017 Tranchevent et al.; Published by Cold Spring Harbor Laboratory Press.

Assessment of severe accident prevention and mitigation features: PWR, large dry containment design

International Nuclear Information System (INIS)

Perkins, K.R.; Hsu, C.J.; Lehner, J.R.; Luckas, W.J.; Cho, N.; Fitzpatrick, R.G.; Pratt, W.T.; Eltawila, F.; Maly, J.A.

1988-07-01

Plant features and operator actions which have been found to be important in either preventing or mitigating severe accidents in PWRs with large dry containments have been identified. These features and actions were developed from insights derived from reviews of risk assessments performed specifically for the Zion plant and from assessments of other relevant studies. Accident sequences that dominate the core-damage frequency and those accident sequences that are of potentially high consequence were identified. Vulnerabilities of the large dry containment to severe accident containment loads were also identified. In addition, those features of a PWR with a large dry containment, which are important for preventing core damage and are available for mitigating fission-product release to the environment were identified. The report is issued to provide focus to the analyst examining an individual plant. The report calls attention to plant features and operator actions and provides a list of deterministic tributes for assessing those features and actions found to be helpful in reducing the overall risk for Zion and other PWRs with large dry containments. Thus, the guidance is offered as a resource in examining the subject plant to determine if the same, or similar, plant features and operator actions will be of value in reducing overall plant risk. This report is intended to serve solely as guidance

Assessment of severe accident prevention and mitigation features: PWR, ice-condenser containment design

International Nuclear Information System (INIS)

Hsu, C.J.; Perkins, K.R.; Luckas, W.J.; Fitzpatrick, R.G.; Cho, N.; Lehner, J.R.; Pratt, W.T.; Eltawila, F.; Maly, J.A.

1988-07-01

Plant features and operator actions which have been found to be important in either preventing and mitigating severe accidents in PWRs with ice-condenser containments have been identified. Thus features and actions were developed from insights derived from reviews of risk assessments performed specifically for the Sequoyah plant and from assessments of other relevant studies. Accident sequences that dominate the core-damage frequency and those accident sequences that are of potentially high consequence were identified. Vulnerabilities of the ice-condenser containment to sever accident containment loads were also identified. In addition, those features of a PWR with an ice-condenser containment, which are important for preventing core damage and are available for mitigating fission-product release to the environment were identified. This report is issued to provide focus to an analyst examining an individual plant. The report calls attention to plant features and operator actions and provides a list of deterministic attributes for assessing those features and actions found to be helpful in reducing the overall risk for Sequoyah and other PWRs with ice-condenser containments. Thus, the guidance is offered as a resource in examining the subject plant to determine if the same, or similar, plant features and operator actions will be of value in reducing overall plant risk. This report is intended to serve solely as guidance. 14 tabs

Assessment of severe accident prevention and mitigation features: BWR, Mark II containment design

International Nuclear Information System (INIS)

Lehner, J.R.; Hsu, C.J.; Eltawila, F.; Perkins, K.R.; Luckas, W.J.; Fitzpatrick, R.G.; Pratt, W.T.

1988-07-01

Plant features and operator actions, which have been found to be important in either preventing or mitigating severe accidents in BWRs with Mark II containments (BWR Mark II's) have been identified. These features and actions were developed from insights derived from reviews of in-depth risk assessments performed specifically for the Limerick and Shoreham plants and from other relevant studies. Accident sequences that dominate the core-damage frequency and those accident sequences that are of potentially high consequence were identified. Vulnerabilities of the BWR Mark II to severe-accident containment loads were also noted. In addition, those features of a BWR Mark II, which are important for preventing core damage and are available for mitigating fission-product release to the environment were also identified. This report is issued to provide focus to an analyst examining an individual plant. This report calls attention to plant features and operator actions and provides a list of deterministic attributes for assessing those features and actions found to be helpful in reducing the overall risk for Mark II plants. Thus, the guidance is offered as a resource in examining the subject plant to determine if the same, or similar, plant features and operator actions will be of value in reducing overall plant risk. This report is intended to serve solely as guidance

Visual development as a tool for storytelling in animated feature films

OpenAIRE

Moura, João Garcia de Lima de

2014-01-01

This dissertation aims to study and deepen the understanding of Visual Development and the way it is used towards storytelling. In animated feature and short films every element is studied and created in order to help the viewer understand the story. We will study concepts like color and light to understand how they are used in order to create an emotional connection between the animation and the viewer. The animated film ‘Beauty and the Beast’ (1991) from Walt Disney studio...

Does self-help increase rates of help seeking for student mental health problems by minimizing stigma as a barrier?

Science.gov (United States)

Levin, Michael E; Krafft, Jennifer; Levin, Crissa

2018-01-01

This study examined whether self-help (books, websites, mobile apps) increases help seeking for mental health problems among college students by minimizing stigma as a barrier. A survey was conducted with 200 college students reporting elevated distress from February to April 2017. Intentions to use self-help were low, but a significant portion of students unwilling to see mental health professionals intended to use self-help. Greater self-stigma related to lower intentions to seek professional help, but was unrelated to seeking self-help. Similarly, students who only used self-help in the past reported higher self-stigma than those who sought professional treatment in the past. Although stigma was not a barrier for self-help, alternate barriers were identified. Offering self-help may increase rates of students receiving help for mental health problems, possibly by offering an alternative for students unwilling to seek in-person therapy due to stigma concerns.

The future of primordial features with large-scale structure surveys

International Nuclear Information System (INIS)

Chen, Xingang; Namjoo, Mohammad Hossein; Dvorkin, Cora; Huang, Zhiqi; Verde, Licia

2016-01-01

Primordial features are one of the most important extensions of the Standard Model of cosmology, providing a wealth of information on the primordial Universe, ranging from discrimination between inflation and alternative scenarios, new particle detection, to fine structures in the inflationary potential. We study the prospects of future large-scale structure (LSS) surveys on the detection and constraints of these features. We classify primordial feature models into several classes, and for each class we present a simple template of power spectrum that encodes the essential physics. We study how well the most ambitious LSS surveys proposed to date, including both spectroscopic and photometric surveys, will be able to improve the constraints with respect to the current Planck data. We find that these LSS surveys will significantly improve the experimental sensitivity on features signals that are oscillatory in scales, due to the 3D information. For a broad range of models, these surveys will be able to reduce the errors of the amplitudes of the features by a factor of 5 or more, including several interesting candidates identified in the recent Planck data. Therefore, LSS surveys offer an impressive opportunity for primordial feature discovery in the next decade or two. We also compare the advantages of both types of surveys.

The future of primordial features with large-scale structure surveys

Energy Technology Data Exchange (ETDEWEB)

Chen, Xingang; Namjoo, Mohammad Hossein [Institute for Theory and Computation, Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Dvorkin, Cora [Department of Physics, Harvard University, Cambridge, MA 02138 (United States); Huang, Zhiqi [School of Physics and Astronomy, Sun Yat-Sen University, 135 Xingang Xi Road, Guangzhou, 510275 (China); Verde, Licia, E-mail: xingang.chen@cfa.harvard.edu, E-mail: dvorkin@physics.harvard.edu, E-mail: huangzhq25@sysu.edu.cn, E-mail: mohammad.namjoo@cfa.harvard.edu, E-mail: liciaverde@icc.ub.edu [ICREA and ICC-UB, University of Barcelona (IEEC-UB), Marti i Franques, 1, Barcelona 08028 (Spain)

2016-11-01

Primordial features are one of the most important extensions of the Standard Model of cosmology, providing a wealth of information on the primordial Universe, ranging from discrimination between inflation and alternative scenarios, new particle detection, to fine structures in the inflationary potential. We study the prospects of future large-scale structure (LSS) surveys on the detection and constraints of these features. We classify primordial feature models into several classes, and for each class we present a simple template of power spectrum that encodes the essential physics. We study how well the most ambitious LSS surveys proposed to date, including both spectroscopic and photometric surveys, will be able to improve the constraints with respect to the current Planck data. We find that these LSS surveys will significantly improve the experimental sensitivity on features signals that are oscillatory in scales, due to the 3D information. For a broad range of models, these surveys will be able to reduce the errors of the amplitudes of the features by a factor of 5 or more, including several interesting candidates identified in the recent Planck data. Therefore, LSS surveys offer an impressive opportunity for primordial feature discovery in the next decade or two. We also compare the advantages of both types of surveys.

Systemverilog for verification a guide to learning the testbench language features

CERN Document Server

Spear, Chris

2012-01-01

Based on the highly successful second edition, this extended edition of SystemVerilog for Verification: A Guide to Learning the Testbench Language Features teaches all verification features of the SystemVerilog language, providing hundreds of examples to clearly explain the concepts and basic fundamentals. It contains materials for both the full-time verification engineer and the student learning this valuable skill. In the third edition, authors Chris Spear and Greg Tumbush start with how to verify a design, and then use that context to demonstrate the language features,  including the advantages and disadvantages of different styles, allowing readers to choose between alternatives. This textbook contains end-of-chapter exercises designed to enhance students’ understanding of the material. Other features of this revision include: New sections on static variables, print specifiers, and DPI from the 2009 IEEE language standard Descriptions of UVM features such as factories, the test registry, and the config...

Definitions of engineered safety features and related features for nuclear power plants

International Nuclear Information System (INIS)

1986-01-01

In light water moderated, light water cooled nuclear power plants, definitions are given of engineered safety features which are designed to suppress or prevent dispersion of radioactive materials due to damage etc. of fuel at the times of power plant failures, and of related features which are designed to actuate or operate the engineered safety features. Contents are the following: scope of engineered safety features and of related features; classification of engineered safety features (direct systems and indirect systems) and of related features (auxiliaries, emergency power supply, and protective means). (Mori, K.)

Adversarial Feature Selection Against Evasion Attacks.

Science.gov (United States)

Zhang, Fei; Chan, Patrick P K; Biggio, Battista; Yeung, Daniel S; Roli, Fabio

2016-03-01

Pattern recognition and machine learning techniques have been increasingly adopted in adversarial settings such as spam, intrusion, and malware detection, although their security against well-crafted attacks that aim to evade detection by manipulating data at test time has not yet been thoroughly assessed. While previous work has been mainly focused on devising adversary-aware classification algorithms to counter evasion attempts, only few authors have considered the impact of using reduced feature sets on classifier security against the same attacks. An interesting, preliminary result is that classifier security to evasion may be even worsened by the application of feature selection. In this paper, we provide a more detailed investigation of this aspect, shedding some light on the security properties of feature selection against evasion attacks. Inspired by previous work on adversary-aware classifiers, we propose a novel adversary-aware feature selection model that can improve classifier security against evasion attacks, by incorporating specific assumptions on the adversary's data manipulation strategy. We focus on an efficient, wrapper-based implementation of our approach, and experimentally validate its soundness on different application examples, including spam and malware detection.

Distinguishing Features and Similarities Between Descriptive Phenomenological and Qualitative Description Research.

Science.gov (United States)

Willis, Danny G; Sullivan-Bolyai, Susan; Knafl, Kathleen; Cohen, Marlene Z

2016-09-01

Scholars who research phenomena of concern to the discipline of nursing are challenged with making wise choices about different qualitative research approaches. Ultimately, they want to choose an approach that is best suited to answer their research questions. Such choices are predicated on having made distinctions between qualitative methodology, methods, and analytic frames. In this article, we distinguish two qualitative research approaches widely used for descriptive studies: descriptive phenomenological and qualitative description. Providing a clear basis that highlights the distinguishing features and similarities between descriptive phenomenological and qualitative description research will help students and researchers make more informed choices in deciding upon the most appropriate methodology in qualitative research. We orient the reader to distinguishing features and similarities associated with each approach and the kinds of research questions descriptive phenomenological and qualitative description research address. © The Author(s) 2016.

Help to perpetuate traditional gender roles: Benevolent sexism increases engagement in dependency-oriented cross-gender helping.

Science.gov (United States)

Shnabel, Nurit; Bar-Anan, Yoav; Kende, Anna; Bareket, Orly; Lazar, Yael

2016-01-01

Based on theorizing that helping relations may serve as a subtle mechanism to reinforce intergroup inequality, the present research (N = 1,315) examined the relation between benevolent sexism (i.e., a chivalrous yet subtly oppressive view of women) and helping. In cross-gender interactions, the endorsement of (Studies 1, 3, and 4) or exposure to (Study 2) benevolent sexism predicted (a) men's preference to provide women with dependency-oriented help (i.e., direct assistance) rather than tools for autonomous coping, and (b) women's preference to seek dependency-oriented help rather than tools for autonomous coping. Benevolent sexism did not predict men's and women's engagement in dependency-oriented helping relations in same-gender interactions. Studies 1 and 2 examined behavioral intentions in response to a series of hypothetical scenarios; Studies 3 and 4 examined actual behavior in tests of mathematical and logical ability, and pointed to assumed partner's expectations as a potential mediator. The converging evidence supports the hypothesis that benevolent sexism encourages engagement in cross-gender helping relations that perpetuate traditional gender roles. (c) 2016 APA, all rights reserved).

New Vaccines Help Protect You

Science.gov (United States)

... Bar Home Current Issue Past Issues New Vaccines Help Protect You Past Issues / Fall 2006 Table of ... with a few deaths. Therefore, this vaccine will help reduce one of our most common and potentially ...

How can economists help to improve animal welfare?

DEFF Research Database (Denmark)

Christensen, Tove; Lawrence, A.; Lund, Mogens

2012-01-01

To-date, the dominant approach to improving farm animal welfare has consisted of a combination of voluntary improvements undertaken by farmers and the tightening of legal requirements. However, history suggests that there is a limit to the improvements capable of being secured by this approach...... priorities as to which aspects of animal welfare should be promoted. Here, economic approaches can be used to capture and synthesise the perspectives of all the stakeholders, including the animals, in a transparent and systematic way. The second way is by helping to ensure that incentives are set up...... in the right way. Where the benefits and costs of improving animal welfare are initially distributed unevenly across stakeholders so that a socially desirable situation will not develop automatically, or be implemented, suitable economic principles may help to create incentives which correct this situation...

Local Chromatin Features Including PU.1 and IKAROS Binding and H3K4 Methylation Shape the Repertoire of Immunoglobulin Kappa Genes Chosen for V(D)J Recombination.

Science.gov (United States)

Matheson, Louise S; Bolland, Daniel J; Chovanec, Peter; Krueger, Felix; Andrews, Simon; Koohy, Hashem; Corcoran, Anne E

2017-01-01

V(D)J recombination is essential for the generation of diverse antigen receptor (AgR) repertoires. In B cells, immunoglobulin kappa ( Igκ ) light chain recombination follows immunoglobulin heavy chain ( Igh ) recombination. We recently developed the DNA-based VDJ-seq assay for the unbiased quantitation of Igh VH and DH repertoires. Integration of VDJ-seq data with genome-wide datasets revealed that two chromatin states at the recombination signal sequence (RSS) of VH genes are highly predictive of recombination in mouse pro-B cells. It is unknown whether local chromatin states contribute to Vκ gene choice during Igκ recombination. Here we adapt VDJ-seq to profile the Igκ VκJκ repertoire and present a comprehensive readout in mouse pre-B cells, revealing highly variable Vκ gene usage. Integration with genome-wide datasets for histone modifications, DNase hypersensitivity, transcription factor binding and germline transcription identified PU.1 binding at the RSS, which was unimportant for Igh , as highly predictive of whether a Vκ gene will recombine or not, suggesting that it plays a binary, all-or-nothing role, priming genes for recombination. Thereafter, the frequency with which these genes recombine was shaped both by the presence and level of enrichment of several other chromatin features, including H3K4 methylation and IKAROS binding. Moreover, in contrast to the Igh locus, the chromatin landscape of the promoter, as well as of the RSS, contributes to Vκ gene recombination. Thus, multiple facets of local chromatin features explain much of the variation in Vκ gene usage. Together, these findings reveal shared and divergent roles for epigenetic features and transcription factors in AgR V(D)J recombination and provide avenues for further investigation of chromatin signatures that may underpin V(D)J-mediated chromosomal translocations.

Psychological Help-Seeking Attitudes and Barriers to Help-Seeking in Young People in Turkey

Science.gov (United States)

Koydemir, Selda; Erel, Ozge; Yumurtaci, Duygu; Sahin, Gozde Nur

2010-01-01

This qualitative research sought to understand the needs of Turkish university students related to adjustment to university, the sources they seek help from, their attitudes about and barriers to psychological help-seeking. Data analysis of interview transcriptions from 15 undergraduates identified several themes. Interpersonal problems,…

Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

Science.gov (United States)

Weal, Mark; Morrison, Leanne; Yardley, Lucy

2018-01-01

Background Incorporating social media features into digital behavior change interventions (DBCIs) has the potential to contribute positively to their success. However, the lack of clear design principles to describe and guide the use of these features in behavioral interventions limits cross-study comparisons of their uses and effects. Objective The aim of this study was to provide a systematic review of DBCIs targeting modifiable behavioral risk factors that have included social media features as part of their intervention infrastructure. A taxonomy of social media features is presented to inform the development, description, and evaluation of behavioral interventions. Methods Search terms were used in 8 databases to identify DBCIs that incorporated social media features and targeted tobacco smoking, diet and nutrition, physical activities, or alcohol consumption. The screening and review process was performed by 2 independent researchers. Results A total of 5264 articles were screened, and 143 articles describing a total of 134 studies were retained for full review. The majority of studies (70%) reported positive outcomes, followed by 28% finding no effects with regard to their respective objectives and hypothesis, and 2% of the studies found that their interventions had negative outcomes. Few studies reported on the association between the inclusion of social media features and intervention effect. A taxonomy of social media features used in behavioral interventions has been presented with 36 social media features organized under 7 high-level categories. The taxonomy has been used to guide the analysis of this review. Conclusions Although social media features are commonly included in DBCIs, there is an acute lack of information with respect to their effect on outcomes and a lack of clear guidance to inform the selection process based on the features’ suitability for the different behaviors. The proposed taxonomy along with the set of recommendations included

Predicting intentions to seek help for depression among undergraduates in Sri Lanka.

Science.gov (United States)

Amarasuriya, Santushi D; Jorm, Anthony F; Reavley, Nicola J

2018-05-04

Studies have found that although there are high rates of depression among university students, their help-seeking practices are poor. It is important to identify students who are less likely to seek the necessary help, to encourage better help-seeking among them. This study, which was conducted among undergraduates in Sri Lanka, examined the associations between personal characteristics of the undergraduates and their intentions to seek help for depression. This was a cross-sectional study in which 4461 undergraduates (Male: n = 1358, 30.4%, Female: n = 3099, 69.5%; Mean age = 22.18; SD = 1.47) indicated their intentions to seek help if personally affected by depression, which was described in a hypothetical vignette about a peer experiencing depression symptomatology. The predictors of the undergraduates' help-seeking intentions, including their sociodemographic characteristics, prior exposure to and recognition of the problem, and their stigma towards those with depression were examined using binary logistic regression analyses models. The undergraduates' ability to recognise the problem was one of the strongest predictors of their intentions to seek professional help. Those with higher levels of stigma were less likely to seek both professional and informal help. While females were less likely to consider professional help, they were more likely to consider the help of informal help-providers and to consider religious strategies. Medical undergraduates and those who had sought help for personal experiences of the problem were also more likely to consider informal help. However, all these associations resulted in small effect sizes, except for those between recognition of the problem and the undergraduates' intentions to seek professional help, where medium to very large effect sizes were observed in the case of some the associations examined. Improvement of problem-recognition may be a key strategy for improving help-seeking among these

Early detection of breast cancer mass lesions by mammogram segmentation images based on texture features

International Nuclear Information System (INIS)

Mahmood, F.H.

2012-01-01

Mammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer.The calcifications. The challenge lies in early and accurate detection to overcome the development of breast cancer that affects more and more women throughout the world. Breast cancer is diagnosed at advanced stages with the help of the digital mammogram images. Masses appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. The incidence of breast cancer in women has increased significantly in recent years. This paper proposes a computer aided diagnostic system for the extraction of features like mass lesions in mammograms for early detection of breast cancer. The proposed technique is based on a four-step procedure: (a) the preprocessing of the image is done, (b) regions of interest (ROI) specification, (c) supervised segmentation method includes two to stages performed using the minimum distance (M D) criterion, and (d) feature extraction based on Gray level Co-occurrence matrices GLC M for the identification of mass lesions. The method suggested for the detection of mass lesions from mammogram image segmentation and analysis was tested over several images taken from A L-llwiya Hospital in Baghdad, Iraq.The proposed technique shows better results.

Epidemiological features of 1 281 patients with head injuries arising from the 2008 Wenchuan earthquake

Directory of Open Access Journals (Sweden)

YANG Chao-hua

2012-04-01

Full Text Available 【Abstract】Objective: To analyze the epidemiologi-cal features of patients with head injuries in the 2008 Wenchuan earthquake. Methods: Medical records of patients with head inju-ries who were admitted to 14 hospitals in Deyang, Mianyang and Chengdu cities after the earthquake were retrospec-tively analyzed. The patients’ age, gender, cause of injury, diagnosis, and outcome were analyzed retrospectively. Results: A total of 1 281 patients with 807 males and 474 females were included. According to Glasgow Coma Scale score at admission, 1 029 patients presented with mild injury, 161 moderate injury and 91 severe injury. The major cause of injuries (83% was bruise by collapsed buildings. Open head injuries accounted for 60.8%. A total of 720 pa-tients underwent surgical treatment. Good recovery was achieved in 1 056 patients, moderate disability in 106, se-vere disability in 71, coma in 29 and death in 19. Conclusions: In this series, male patients were more than female patients. The main cause of injury was hit by falling objects due to building collapse. Minor and open craniocerebral injuries were most common. The epidemio-logical features of head injuries in Wenchuan earthquake may be helpful to preparation for future rescue. Key words: Brain injuries; Epidemiology; Earthquakes; Rescue work

What Schools Are Doing To Help the Children of Divorce.

Science.gov (United States)

Sammons, William A. H.; Lewis, Jennifer M.

2000-01-01

Describes how teachers' observations of children can help behavioral pediatricians identify family situations contributing to marked changes in children's behavior related to divorce. Discusses ways teachers can support children of divorce, including maintaining consistency and discipline, making children feel competent, listening to the child's…

Fish: A New Computer Program for Friendly Introductory Statistics Help

Science.gov (United States)

Brooks, Gordon P.; Raffle, Holly

2005-01-01

All introductory statistics students must master certain basic descriptive statistics, including means, standard deviations and correlations. Students must also gain insight into such complex concepts as the central limit theorem and standard error. This article introduces and describes the Friendly Introductory Statistics Help (FISH) computer…

Helping Your Partner with Chronic Pain: The Importance of Helping Motivation, Received Social Support, and Its Timeliness.

Science.gov (United States)

Kindt, Sara; Vansteenkiste, Maarten; Josephy, Haeike; Bernardes, Sonia F; Goubert, Liesbet

2018-02-02

Like all intentional acts, social support provision varies with respect to its underlying motives. Greater autonomous or volitional motives (e.g., enjoyment, full commitment) to help individuals with chronic pain (ICPs) are associated with greater well-being benefits for the latter, as indexed by improved satisfaction of their psychological needs for autonomy, competence, and relatedness. The present study investigates the processes explaining why partners' autonomous or volitional helping motivation yields these benefits. A total of 134 couples, where at least one partner had chronic pain, completed a 14-day diary. Partners reported on their daily helping motives, whereas ICPs reported on their daily received support, timing of help, need-based experiences, and pain. On days when partners provided help for volitional motives, ICPs indicated receiving more help, which partially accounted for the effect of autonomous helping motivation on ICP need-based experiences. Timing of help moderated the effects of daily received support on ICP need-based experiences. Findings highlight the importance of ICPs of receiving support in general and the role of timing in particular, which especially matters when there is little support being received. © 2018 American Academy of Pain Medicine. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

How the Internet Will Help Large-Scale Assessment Reinvent Itself

Directory of Open Access Journals (Sweden)

Randy Elliot Bennett

2001-02-01

Full Text Available Large-scale assessment in the United States is undergoing enormous pressure to change. That pressure stems from many causes. Depending upon the type of test, the issues precipitating change include an outmoded cognitive-scientific basis for test design; a mismatch with curriculum; the differential performance of population groups; a lack of information to help individuals improve; and inefficiency. These issues provide a strong motivation to reconceptualize both the substance and the business of large-scale assessment. At the same time, advances in technology, measurement, and cognitive science are providing the means to make that reconceptualization a reality. The thesis of this paper is that the largest facilitating factor will be technological, in particular the Internet. In the same way that it is already helping to revolutionize commerce, education, and even social interaction, the Internet will help revolutionize the business and substance of large-scale assessment.

Automated oral cancer identification using histopathological images: a hybrid feature extraction paradigm.

Science.gov (United States)

Krishnan, M Muthu Rama; Venkatraghavan, Vikram; Acharya, U Rajendra; Pal, Mousumi; Paul, Ranjan Rashmi; Min, Lim Choo; Ray, Ajoy Kumar; Chatterjee, Jyotirmoy; Chakraborty, Chandan

2012-02-01

Oral cancer (OC) is the sixth most common cancer in the world. In India it is the most common malignant neoplasm. Histopathological images have widely been used in the differential diagnosis of normal, oral precancerous (oral sub-mucous fibrosis (OSF)) and cancer lesions. However, this technique is limited by subjective interpretations and less accurate diagnosis. The objective of this work is to improve the classification accuracy based on textural features in the development of a computer assisted screening of OSF. The approach introduced here is to grade the histopathological tissue sections into normal, OSF without Dysplasia (OSFWD) and OSF with Dysplasia (OSFD), which would help the oral onco-pathologists to screen the subjects rapidly. The biopsy sections are stained with H&E. The optical density of the pixels in the light microscopic images is recorded and represented as matrix quantized as integers from 0 to 255 for each fundamental color (Red, Green, Blue), resulting in a M×N×3 matrix of integers. Depending on either normal or OSF condition, the image has various granular structures which are self similar patterns at different scales termed "texture". We have extracted these textural changes using Higher Order Spectra (HOS), Local Binary Pattern (LBP), and Laws Texture Energy (LTE) from the histopathological images (normal, OSFWD and OSFD). These feature vectors were fed to five different classifiers: Decision Tree (DT), Sugeno Fuzzy, Gaussian Mixture Model (GMM), K-Nearest Neighbor (K-NN), Radial Basis Probabilistic Neural Network (RBPNN) to select the best classifier. Our results show that combination of texture and HOS features coupled with Fuzzy classifier resulted in 95.7% accuracy, sensitivity and specificity of 94.5% and 98.8% respectively. Finally, we have proposed a novel integrated index called Oral Malignancy Index (OMI) using the HOS, LBP, LTE features, to diagnose benign or malignant tissues using just one number. We hope that this OMI can

30 CFR 250.1007 - What to include in applications.

Science.gov (United States)

2010-07-01

... features and other pertinent data including area, lease, and block designations; water depths; route...) submitted for a pipeline right-of-way shall bear a signed certificate upon its face by the engineer who made... additional design precautions you took to enable the pipeline to withstand the effects of water currents...

Pseudoinefficacy: negative feelings from children who cannot be helped reduce warm glow for children who can be helped.

Science.gov (United States)

Västfjäll, Daniel; Slovic, Paul; Mayorga, Marcus

2015-01-01

In a great many situations where we are asked to aid persons whose lives are endangered, we are not able to help everyone. What are the emotional and motivational consequences of "not helping all"? In a series of experiments, we demonstrate that negative affect arising from children that could not be helped decreases the warm glow of positive feeling associated with aiding the children who can be helped. This demotivation from the children outside of our reach may be a form of "pseudoinefficacy" that is non-rational. We should not be deterred from helping whomever we can because there are others we are not able to help.

Pseudoinefficacy: Negative feelings from children who cannot be helped reduce warm glow for children who can be helped

Directory of Open Access Journals (Sweden)

Daniel eVästfjäll

2015-05-01

Full Text Available In a great many situations where we are asked to aid persons whose lives are endangered, we are not able to help everyone. What are the emotional and motivational consequences of not helping all? In a series of experiments, we demonstrate that negative affect arising from children that could not be helped decreases the warm glow of positive feeling associated with aiding the children who can be helped. This demotivation from the children outside of our reach may be a form of pseudoinefficacy that is nonrational. We should not be deterred from helping whomever we can because there are others we are not able to help.

MRI features of chondroblastoma

International Nuclear Information System (INIS)

Cheng Xiaoguang; Liu Xia; Cheng Kebin; Liu Wei

2009-01-01

Objective: To evaluate the MR imaging features of chondroblastoma. Methods: MRI examinations of 20 patients with histological proven chondmblastoma were reviewed retrospectively. The MRI findings of chondroblastoma including the signal intensity, the shape, the growth patterns, and the surrounding bone marrow edema and the adjacent soft tissue edema, the periosteal reaction, the adjacent joint effusion were analyzed. Results: All 20 cases demonstrated heterogeneous MR signal intensity on T 1 WI and T 2 WI images and showed lobular margins. Sixteen cases demonstrated expansive growth patterns. Surrounding bone marrow edema was found in 18 cases and adjacent soft tissue edema in 14 cases. Periosteal reaction was identified in 6 cases. In 7 cases the tumor extended to adjacent soft tissue. Adjacent joint effusion was visible on MRI in 6 cases. Conclusion: Heterogeneous signal intensity, lobular margins and expansive growth pattern, adjacent bone marrow and soft tissue edema were the common features of chondroblastoma on MRI. (authors)

Novel clinical features of nonconvulsive status epilepticus

Science.gov (United States)

Nagayama, Masao; Yang, Sunghoon; Geocadin, Romergryko G.; Kaplan, Peter W.; Hoshiyama, Eisei; Shiromaru-Sugimoto, Azusa; Kawamura, Mitsuru

2017-01-01

Nonconvulsive status epilepticus (NCSE) has rapidly expanded from classical features such as staring, repetitive blinking, chewing, swallowing, and automatism to include coma, prolonged apnea, cardiac arrest, dementia, and higher brain dysfunction, which were demonstrated mainly after the 2000s by us and other groups. This review details novel clinical features of NCSE as a manifestation of epilepsy, but one that is underdiagnosed, with the best available evidence. Also, we describe the new concept of epilepsy-related organ dysfunction (Epi-ROD) and a novel electrode and headset which enables prompt electroencephalography. PMID:28979770

Meteorology/Oceanography Help - Naval Oceanography Portal

Science.gov (United States)

section Advanced Search... Sections Home Time Earth Orientation Astronomy Meteorology Oceanography Ice You are here: Home › Help › Meteorology/Oceanography Help USNO Logo USNO Info Meteorology/Oceanography Help Send an e-mail regarding meteorology or oceanography products. Privacy Advisory Your E-Mail

Review of nuclear fuel cycle alternatives including certain features pertaining to weapon proliferation

International Nuclear Information System (INIS)

Williams, D.C.; Rosenstroch, B.

1978-01-01

Largely as a result of concerns over nuclear weapon proliferation, the U.S. program to develop and commercialize the plutonium-fueled breeder reactor has been slowed down; interest in alternative fuel cycles has increased. The report offers an informal review of the various nuclear fuel cycle options including some aspects relevant to weapon proliferation, although no complete review of the latter subject is attempted. Basic principles governing breeding, reactor safety, and efficient utilization of fission energy resources (thorium and uranium) are discussed. The controversial problems of weapon proliferation and its relation to fuel reprocessing (which is essential for efficient fuel cycles) are reviewed and a number of proposed approaches to reducing proliferation risks are noted. Some representative specific reactor concepts are described, with emphasis on their development status, their potentials for resource utilization, and their implications for proliferation

Classifying web pages with visual features

NARCIS (Netherlands)

de Boer, V.; van Someren, M.; Lupascu, T.; Filipe, J.; Cordeiro, J.

2010-01-01