Fuzzy support vector machine: an efficient rule-based classification technique for microarrays.

PubMed

Hajiloo, Mohsen; Rabiee, Hamid R; Anooshahpour, Mahdi

2013-01-01

The abundance of gene expression microarray data has led to the development of machine learning algorithms applicable for tackling disease diagnosis, disease prognosis, and treatment selection problems. However, these algorithms often produce classifiers with weaknesses in terms of accuracy, robustness, and interpretability. This paper introduces fuzzy support vector machine which is a learning algorithm based on combination of fuzzy classifiers and kernel machines for microarray classification. Experimental results on public leukemia, prostate, and colon cancer datasets show that fuzzy support vector machine applied in combination with filter or wrapper feature selection methods develops a robust model with higher accuracy than the conventional microarray classification models such as support vector machine, artificial neural network, decision trees, k nearest neighbors, and diagonal linear discriminant analysis. Furthermore, the interpretable rule-base inferred from fuzzy support vector machine helps extracting biological knowledge from microarray data. Fuzzy support vector machine as a new classification model with high generalization power, robustness, and good interpretability seems to be a promising tool for gene expression microarray classification.

Currency crisis indication by using ensembles of support vector machine classifiers

NASA Astrophysics Data System (ADS)

Ramli, Nor Azuana; Ismail, Mohd Tahir; Wooi, Hooy Chee

2014-07-01

There are many methods that had been experimented in the analysis of currency crisis. However, not all methods could provide accurate indications. This paper introduces an ensemble of classifiers by using Support Vector Machine that's never been applied in analyses involving currency crisis before with the aim of increasing the indication accuracy. The proposed ensemble classifiers' performances are measured using percentage of accuracy, root mean squared error (RMSE), area under the Receiver Operating Characteristics (ROC) curve and Type II error. The performances of an ensemble of Support Vector Machine classifiers are compared with the single Support Vector Machine classifier and both of classifiers are tested on the data set from 27 countries with 12 macroeconomic indicators for each country. From our analyses, the results show that the ensemble of Support Vector Machine classifiers outperforms single Support Vector Machine classifier on the problem involving indicating a currency crisis in terms of a range of standard measures for comparing the performance of classifiers.

Eliminating malaria in Malaysia: the role of partnerships between the public and commercial sectors in Sabah.

PubMed

Sanders, Kelly C; Rundi, Christina; Jelip, Jenarun; Rashman, Yusof; Smith Gueye, Cara; Gosling, Roly D

2014-01-21

Countries in the Asia Pacific region have made great progress in the fight against malaria; several are rapidly approaching elimination. However, malaria control programmes operating in elimination settings face substantial challenges, particularly around mobile migrant populations, access to remote areas and the diversity of vectors with varying biting and breeding behaviours. These challenges can be addressed through subnational collaborations with commercial partners, such as mining or plantation companies, that can conduct or support malaria control activities to cover employees. Such partnerships can be a useful tool for accessing high-risk populations and supporting malaria elimination goals. This observational qualitative case study employed semi-structured key informant interviews to describe partnerships between the Malaysian Malaria Control Programme (MCP), and private palm oil, rubber and acacia plantations in the state of Sabah. Semi-structured interview guides were used to examine resource commitments, incentives, challenges, and successes of the collaborations. Interviews with workers from private plantations and the state of Sabah MCP indicated that partnerships with the commercial sector had contributed to decreases in incidence at plantation sites since 1991. Several plantations contribute financial and human resources toward malaria control efforts and all plantations frequently communicate with the MCP to help monitor the malaria situation on-site. Management of partnerships between private corporations and government entities can be challenging, as prioritization of malaria control may change with annual profits or arrival of new management. Partnering with the commercial sector has been an essential operational strategy to support malaria elimination in Sabah. The successes of these partnerships rely on a common understanding that elimination will be a mutually beneficial outcome for employers and the general public. Best practices included consistent communication, developing government-staffed subsector offices for malaria control on-site, engaging commercial plantations to provide financial and human resources for malaria control activities, and the development of new worker screening programmes. The successes and challenges associated with partnerships between the public and commercial sector can serve as an example for other malaria-eliminating countries with large plantation sectors, and may also be applied to other sectors that employ migrant workers or have commercial enterprises in hard to reach areas.

Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection

NASA Astrophysics Data System (ADS)

Sakuma, Jun; Wright, Rebecca N.

Privacy-preserving classification is the task of learning or training a classifier on the union of privately distributed datasets without sharing the datasets. The emphasis of existing studies in privacy-preserving classification has primarily been put on the design of privacy-preserving versions of particular data mining algorithms, However, in classification problems, preprocessing and postprocessing— such as model selection or attribute selection—play a prominent role in achieving higher classification accuracy. In this paper, we show generalization error of classifiers in privacy-preserving classification can be securely evaluated without sharing prediction results. Our main technical contribution is a new generalized Hamming distance protocol that is universally applicable to preprocessing and postprocessing of various privacy-preserving classification problems, such as model selection in support vector machine and attribute selection in naive Bayes classification.

TWSVR: Regression via Twin Support Vector Machine.

PubMed

Khemchandani, Reshma; Goyal, Keshav; Chandra, Suresh

2016-02-01

Taking motivation from Twin Support Vector Machine (TWSVM) formulation, Peng (2010) attempted to propose Twin Support Vector Regression (TSVR) where the regressor is obtained via solving a pair of quadratic programming problems (QPPs). In this paper we argue that TSVR formulation is not in the true spirit of TWSVM. Further, taking motivation from Bi and Bennett (2003), we propose an alternative approach to find a formulation for Twin Support Vector Regression (TWSVR) which is in the true spirit of TWSVM. We show that our proposed TWSVR can be derived from TWSVM for an appropriately constructed classification problem. To check the efficacy of our proposed TWSVR we compare its performance with TSVR and classical Support Vector Regression(SVR) on various regression datasets. Copyright © 2015 Elsevier Ltd. All rights reserved.

Multiscale asymmetric orthogonal wavelet kernel for linear programming support vector learning and nonlinear dynamic systems identification.

PubMed

Lu, Zhao; Sun, Jing; Butts, Kenneth

2014-05-01

Support vector regression for approximating nonlinear dynamic systems is more delicate than the approximation of indicator functions in support vector classification, particularly for systems that involve multitudes of time scales in their sampled data. The kernel used for support vector learning determines the class of functions from which a support vector machine can draw its solution, and the choice of kernel significantly influences the performance of a support vector machine. In this paper, to bridge the gap between wavelet multiresolution analysis and kernel learning, the closed-form orthogonal wavelet is exploited to construct new multiscale asymmetric orthogonal wavelet kernels for linear programming support vector learning. The closed-form multiscale orthogonal wavelet kernel provides a systematic framework to implement multiscale kernel learning via dyadic dilations and also enables us to represent complex nonlinear dynamics effectively. To demonstrate the superiority of the proposed multiscale wavelet kernel in identifying complex nonlinear dynamic systems, two case studies are presented that aim at building parallel models on benchmark datasets. The development of parallel models that address the long-term/mid-term prediction issue is more intricate and challenging than the identification of series-parallel models where only one-step ahead prediction is required. Simulation results illustrate the effectiveness of the proposed multiscale kernel learning.

Is the association between high strain work and depressive symptoms modified by private life social support: a cohort study of 1,074 Danish employees?

PubMed Central

2014-01-01

Background Previous studies have shown that psychosocial working conditions characterized by high psychological demands and low decision latitude (i.e., high strain work) are associated with increased risk of depressive symptoms. Little is known, however, concerning how this association may be modified by factors outside the working environment. This article examines the modifying role of private life social support in the relation between high strain work and the development of severe depressive symptoms. Methods Data were questionnaire-based, collected from a cross-occupational sample of 1,074 Danish employees. At baseline, all participants were free of severe depressive symptoms, measured by the Mental Health Inventory. High strain work was defined by the combination of high psychological demands at work and low control, measured with multi-dimensional scales. Private life social support was operationalized as the number of life domains with confidants and dichotomized as low (0–1 domains) or high (2 or more domains). Using logistic regression we examined the risk of onset of severe depressive symptoms, adjusting for sex, age, occupational position, and prior depressive symptoms. Results Separately, neither high strain work nor low private life social support statistically significantly predicted depressive symptoms. However, participants with joint exposure to high strain work and low private life social support had an Odds ratio (OR) for severe depressive symptoms of 3.41 (95% CI: 1.36-8.58), compared to participants with no work strain and high private life social support. There was no increased risk for participants with high strain work and high private life social support (OR = 1.32, 95% CI: 0.65-2.68). The interaction term for departure from additivity was, however, not statistically significant (p = 0.18). Conclusions Our findings suggest that high strain work may increase risk of depressive symptoms in individuals with low private life social support, although the effect-modification was statistically non-significant. Larger studies are needed to further establish the role of private life social support in the relation between high strain work and depression. PMID:25005843

Is the association between high strain work and depressive symptoms modified by private life social support: a cohort study of 1,074 Danish employees?

PubMed

Madsen, Ida E H; Jorgensen, Anette F B; Borritz, Marianne; Nielsen, Martin L; Rugulies, Reiner

2014-07-08

Previous studies have shown that psychosocial working conditions characterized by high psychological demands and low decision latitude (i.e., high strain work) are associated with increased risk of depressive symptoms. Little is known, however, concerning how this association may be modified by factors outside the working environment. This article examines the modifying role of private life social support in the relation between high strain work and the development of severe depressive symptoms. Data were questionnaire-based, collected from a cross-occupational sample of 1,074 Danish employees. At baseline, all participants were free of severe depressive symptoms, measured by the Mental Health Inventory. High strain work was defined by the combination of high psychological demands at work and low control, measured with multi-dimensional scales. Private life social support was operationalized as the number of life domains with confidants and dichotomized as low (0-1 domains) or high (2 or more domains). Using logistic regression we examined the risk of onset of severe depressive symptoms, adjusting for sex, age, occupational position, and prior depressive symptoms. Separately, neither high strain work nor low private life social support statistically significantly predicted depressive symptoms. However, participants with joint exposure to high strain work and low private life social support had an Odds ratio (OR) for severe depressive symptoms of 3.41 (95% CI: 1.36-8.58), compared to participants with no work strain and high private life social support. There was no increased risk for participants with high strain work and high private life social support (OR = 1.32, 95% CI: 0.65-2.68). The interaction term for departure from additivity was, however, not statistically significant (p = 0.18). Our findings suggest that high strain work may increase risk of depressive symptoms in individuals with low private life social support, although the effect-modification was statistically non-significant. Larger studies are needed to further establish the role of private life social support in the relation between high strain work and depression.

A Code Generation Approach for Auto-Vectorization in the Spade Compiler

NASA Astrophysics Data System (ADS)

Wang, Huayong; Andrade, Henrique; Gedik, Buğra; Wu, Kun-Lung

We describe an auto-vectorization approach for the Spade stream processing programming language, comprising two ideas. First, we provide support for vectors as a primitive data type. Second, we provide a C++ library with architecture-specific implementations of a large number of pre-vectorized operations as the means to support language extensions. We evaluate our approach with several stream processing operators, contrasting Spade's auto-vectorization with the native auto-vectorization provided by the GNU gcc and Intel icc compilers.

Capacity Issue Looms for Vouchers

ERIC Educational Resources Information Center

Zehr, Mary Ann

2011-01-01

State-level momentum in support of vouchers and tax credits that help students go to private schools highlights what has been a largely theoretical issue: private school capacity to support voucher-financed enrollment. Academics say the national supply of seats in secular and religious private schools is sufficient to meet short-term demand from…

Michigan School Privatization Survey 2010

ERIC Educational Resources Information Center

Hohman, James M.; Anderson, Dustin D.

2010-01-01

Privatization of support services has been a method that Michigan school districts have used for several years to lower costs. More than ever before, Michigan school districts are privatizing the three main support services they offer--food, custodial and transportation. The annual survey finds that 48.8 percent of Michigan school districts are…

Differentially Private Empirical Risk Minimization

PubMed Central

Chaudhuri, Kamalika; Monteleoni, Claire; Sarwate, Anand D.

2011-01-01

Privacy-preserving machine learning algorithms are crucial for the increasingly common setting in which personal data, such as medical or financial records, are analyzed. We provide general techniques to produce privacy-preserving approximations of classifiers learned via (regularized) empirical risk minimization (ERM). These algorithms are private under the ε-differential privacy definition due to Dwork et al. (2006). First we apply the output perturbation ideas of Dwork et al. (2006), to ERM classification. Then we propose a new method, objective perturbation, for privacy-preserving machine learning algorithm design. This method entails perturbing the objective function before optimizing over classifiers. If the loss and regularizer satisfy certain convexity and differentiability criteria, we prove theoretical results showing that our algorithms preserve privacy, and provide generalization bounds for linear and nonlinear kernels. We further present a privacy-preserving technique for tuning the parameters in general machine learning algorithms, thereby providing end-to-end privacy guarantees for the training process. We apply these results to produce privacy-preserving analogues of regularized logistic regression and support vector machines. We obtain encouraging results from evaluating their performance on real demographic and benchmark data sets. Our results show that both theoretically and empirically, objective perturbation is superior to the previous state-of-the-art, output perturbation, in managing the inherent tradeoff between privacy and learning performance. PMID:21892342

Signal detection using support vector machines in the presence of ultrasonic speckle

NASA Astrophysics Data System (ADS)

Kotropoulos, Constantine L.; Pitas, Ioannis

2002-04-01

Support Vector Machines are a general algorithm based on guaranteed risk bounds of statistical learning theory. They have found numerous applications, such as in classification of brain PET images, optical character recognition, object detection, face verification, text categorization and so on. In this paper we propose the use of support vector machines to segment lesions in ultrasound images and we assess thoroughly their lesion detection ability. We demonstrate that trained support vector machines with a Radial Basis Function kernel segment satisfactorily (unseen) ultrasound B-mode images as well as clinical ultrasonic images.

A Systolic Architecture for Singular Value Decomposition,

DTIC Science & Technology

1983-01-01

Presented at the 1 st International Colloquium on Vector and Parallel Computing in Scientific Applications, Paris, March 191J Contract N00014-82-K.0703...Gene Golub. Private comunication . given inputs x and n 2 , compute 2 2 2 2 /6/ G. H. Golub and F. T. Luk : "Singular Value I + X1 Decomposition

A Measurement of Financial Viability Among Private Colleges.

ERIC Educational Resources Information Center

Bolda, Phillip J.; Mack, Bruce A.

The financial viability of private colleges was assessed by examining the relationship of expenditures to endowment to voluntary support (nongovernment gifts and grants). A sample of 284 private coeducational colleges was drawn from the Council for Financial Aid to Education's (CFAE) annual survey of voluntary support (1976-1977 to 1980-1981). The…

Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy.

PubMed

Wang, Zhi-Long; Zhou, Zhi-Guo; Chen, Ying; Li, Xiao-Ting; Sun, Ying-Shi

The aim of this study was to diagnose lymph node metastasis of esophageal cancer by support vector machines model based on computed tomography. A total of 131 esophageal cancer patients with preoperative chemotherapy and radical surgery were included. Various indicators (tumor thickness, tumor length, tumor CT value, total number of lymph nodes, and long axis and short axis sizes of largest lymph node) on CT images before and after neoadjuvant chemotherapy were recorded. A support vector machines model based on these CT indicators was built to predict lymph node metastasis. Support vector machines model diagnosed lymph node metastasis better than preoperative short axis size of largest lymph node on CT. The area under the receiver operating characteristic curves were 0.887 and 0.705, respectively. The support vector machine model of CT images can help diagnose lymph node metastasis in esophageal cancer with preoperative chemotherapy.

Patterns of Plasmodium vivax and Plasmodium falciparum malaria underscore importance of data collection from private health care facilities in India.

PubMed

Gupta, Sangeeta; Gunter, James T; Novak, Robert J; Regens, James L

2009-10-12

This study describes patterns of falciparum and vivax malaria in a private comprehensive-care, multi-specialty hospital in New Delhi from July 2006 to July 2008. Malarial morbidity by Plasmodium species (Plasmodium falciparum, Plasmodium vivax, or Plasmodium sp.) was confirmed using microscopy and antigen tests. The influence of seasonal factors and selected patient demographics on morbidity was evaluated. The proportions of malaria cases caused by P. falciparum at the private facility were compared to data from India's National Vector Borne Disease Control Programme (NVBDCP) during the same period for the Delhi region. In New Delhi, P. faciparum was the dominant cause of cases requiring treatment in the private hospital during the period examined. The national data reported a smaller proportion of malaria cases caused by P. falciparum in the national capital region than was observed in a private facility within the region. Plasmodium vivax also caused a large proportion of the cases presenting clinically at the private hospital during the summer and monsoon seasons. The proportion of P. falciparum malaria cases tends to be greatest during the post-monsoon season while the proportion of P. vivax malaria cases tends to be greatest in the monsoon season. Private hospital data demonstrate an under-reporting of malaria case incidences in the data from India's national surveillance programme during the same period for the national capital region.

VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases

PubMed Central

Giraldo-Calderón, Gloria I.; Emrich, Scott J.; MacCallum, Robert M.; Maslen, Gareth; Dialynas, Emmanuel; Topalis, Pantelis; Ho, Nicholas; Gesing, Sandra; Madey, Gregory; Collins, Frank H.; Lawson, Daniel

2015-01-01

VectorBase is a National Institute of Allergy and Infectious Diseases supported Bioinformatics Resource Center (BRC) for invertebrate vectors of human pathogens. Now in its 11th year, VectorBase currently hosts the genomes of 35 organisms including a number of non-vectors for comparative analysis. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes. Here we describe improvements to our resource and the set of tools available for interrogating and accessing BRC data including the integration of Web Apollo to facilitate community annotation and providing Galaxy to support user-based workflows. VectorBase also actively supports our community through hands-on workshops and online tutorials. All information and data are freely available from our website at https://www.vectorbase.org/. PMID:25510499

Topographic and Hydrographic GIS Datasets for the Afghanistan Geological Survey and U.S. Geological Survey 2014 Mineral Areas of Interest

USGS Publications Warehouse

DeWitt, Jessica D.; Chirico, Peter G.; Malpeli, Katherine C.

2015-11-18

This work represents the fourth installment of the series, and publishes a dataset of eight new AOIs and one subarea within Afghanistan. These areas include Dasht-e-Nawar, Farah, North Ghazni, South Ghazni, Chakhansur, Godzareh East, Godzareh West, and Namaksar-e-Herat AOIs and the Central Bamyan subarea of the South Bamyan AOI (datasets for South Bamyan were published previously in Casey and Chirico, 2013). For each AOI and subarea, this dataset collection consists of the areal extent boundaries, elevation contours at 25-, 50-, and 100-m intervals, and an enhanced DEM. Hydrographic datasets covering the extent of four AOIs and one subarea are also included in the collection. The resulting raster and vector layers are intended for use by government agencies, developmental organizations, and private companies in Afghanistan to support mineral assessments, monitoring, management, and investment.

Automated detection of microcalcification clusters in mammograms

NASA Astrophysics Data System (ADS)

Karale, Vikrant A.; Mukhopadhyay, Sudipta; Singh, Tulika; Khandelwal, Niranjan; Sadhu, Anup

2017-03-01

Mammography is the most efficient modality for detection of breast cancer at early stage. Microcalcifications are tiny bright spots in mammograms and can often get missed by the radiologist during diagnosis. The presence of microcalcification clusters in mammograms can act as an early sign of breast cancer. This paper presents a completely automated computer-aided detection (CAD) system for detection of microcalcification clusters in mammograms. Unsharp masking is used as a preprocessing step which enhances the contrast between microcalcifications and the background. The preprocessed image is thresholded and various shape and intensity based features are extracted. Support vector machine (SVM) classifier is used to reduce the false positives while preserving the true microcalcification clusters. The proposed technique is applied on two different databases i.e DDSM and private database. The proposed technique shows good sensitivity with moderate false positives (FPs) per image on both databases.

The history of 20th century malaria control in Peru

PubMed Central

2013-01-01

Malaria has been part of Peruvian life since at least the 1500s. While Peru gave the world quinine, one of the first treatments for malaria, its history is pockmarked with endemic malaria and occasional epidemics. In this review, major increases in Peruvian malaria incidence over the past hundred years are described, as well as the human factors that have facilitated these events, and concerted private and governmental efforts to control malaria. Political support for malaria control has varied and unexpected events like vector and parasite resistance have adversely impacted morbidity and mortality. Though the ready availability of novel insecticides like DDT and efficacious medications reduced malaria to very low levels for a decade after the post eradication era, malaria reemerged as an important modern day challenge to Peruvian public health. Its reemergence sparked collaboration between domestic and international partners towards the elimination of malaria in Peru. PMID:24001096

Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performance

NASA Astrophysics Data System (ADS)

Kale, Mandar; Mukhopadhyay, Sudipta; Dash, Jatindra K.; Garg, Mandeep; Khandelwal, Niranjan

2016-03-01

Interstitial lung disease (ILD) is complicated group of pulmonary disorders. High Resolution Computed Tomography (HRCT) considered to be best imaging technique for analysis of different pulmonary disorders. HRCT findings can be categorised in several patterns viz. Consolidation, Emphysema, Ground Glass Opacity, Nodular, Normal etc. based on their texture like appearance. Clinician often find it difficult to diagnosis these pattern because of their complex nature. In such scenario computer-aided diagnosis system could help clinician to identify patterns. Several approaches had been proposed for classification of ILD patterns. This includes computation of textural feature and training /testing of classifier such as artificial neural network (ANN), support vector machine (SVM) etc. In this paper, wavelet features are calculated from two different ILD database, publically available MedGIFT ILD database and private ILD database, followed by performance evaluation of ANN and SVM classifiers in terms of average accuracy. It is found that average classification accuracy by SVM is greater than ANN where trained and tested on same database. Investigation continued further to test variation in accuracy of classifier when training and testing is performed with alternate database and training and testing of classifier with database formed by merging samples from same class from two individual databases. The average classification accuracy drops when two independent databases used for training and testing respectively. There is significant improvement in average accuracy when classifiers are trained and tested with merged database. It infers dependency of classification accuracy on training data. It is observed that SVM outperforms ANN when same database is used for training and testing.

Margin for Excellence and Opportunity. The Impact of Private Investment on Public Colleges and Universities.

ERIC Educational Resources Information Center

National Association of State Universities and Land Grant Colleges, Washington, DC.

This report discusses the trend of private funding to state universities, examines the importance of this area of financial support, and analyses the financial challenge confronting the nation's state and land-grant universities. Examples of what private investment does for the school are provided as is an argument supporting the need for…

Section 1: Looking Broadly at the Politics of Privatization: The Politics of Privatization in American Education

ERIC Educational Resources Information Center

Boyd, William L.

2007-01-01

The long-sustained effort of conservatives and their think tanks and media outlets to win support for school choice, market forces, and privatization schemes in education is paying off. But it is encountering steady resistance from the public education establishment and its supporting teachers' unions. Actions, reactions, strategies, and the…

Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions

PubMed Central

Li, Haoran; Xiong, Li; Jiang, Xiaoqian

2014-01-01

Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Most of the existing techniques that generate differentially private histograms or synthetic data only work well for single dimensional or low-dimensional histograms. They become problematic for high dimensional and large domain data due to increased perturbation error and computation complexity. In this paper, we propose DPCopula, a differentially private data synthesization technique using Copula functions for multi-dimensional data. The core of our method is to compute a differentially private copula function from which we can sample synthetic data. Copula functions are used to describe the dependence between multivariate random vectors and allow us to build the multivariate joint distribution using one-dimensional marginal distributions. We present two methods for estimating the parameters of the copula functions with differential privacy: maximum likelihood estimation and Kendall’s τ estimation. We present formal proofs for the privacy guarantee as well as the convergence property of our methods. Extensive experiments using both real datasets and synthetic datasets demonstrate that DPCopula generates highly accurate synthetic multi-dimensional data with significantly better utility than state-of-the-art techniques. PMID:25405241

Patterns of Giving to Higher Education II: An Analysis of Voluntary Support of American Colleges and Universities, 1970-71.

ERIC Educational Resources Information Center

Levi, Julian H.; Steinbach, Sheldon Elliot

Higher education in this country owes its creation almost entirely to the generosity of private benefactors. Given the significance of private gift support, it is important that all those who are concerned in the financing of higher education understand the amount, patterns, and characteristics of private philanthropy. The survey questionnaire…

State Programs to Provide Financial Support for and Coordination of Nonpublic Higher Education.

ERIC Educational Resources Information Center

Millard, Richard

State aid to private higher education goes back to the beginning of higher education in this country. The forms of financial support for private higher education run the gamut from contracts for special services to general student aid available to students at both public and private institutions. By far the most important from the standpoint of…

Testing of the Support Vector Machine for Binary-Class Classification

NASA Technical Reports Server (NTRS)

Scholten, Matthew

2011-01-01

The Support Vector Machine is a powerful algorithm, useful in classifying data in to species. The Support Vector Machines implemented in this research were used as classifiers for the final stage in a Multistage Autonomous Target Recognition system. A single kernel SVM known as SVMlight, and a modified version known as a Support Vector Machine with K-Means Clustering were used. These SVM algorithms were tested as classifiers under varying conditions. Image noise levels varied, and the orientation of the targets changed. The classifiers were then optimized to demonstrate their maximum potential as classifiers. Results demonstrate the reliability of SMV as a method for classification. From trial to trial, SVM produces consistent results

Privatization in Education.

ERIC Educational Resources Information Center

Rehfuss, John

1995-01-01

Privatization calls for substantially trimming the scope and breadth of government services, replacing them with private or other nongovernmental operators. The attraction of privatization is reduced costs and increased management flexibility. To date, the arrangement has received substantial support from students and parents in situations that…

Government Aid to Private Schools: Is It a Trojan Horse? A CIE Paper.

ERIC Educational Resources Information Center

Wagner, Richard E., Ed.

In this publication, six scholars interested in private education and knowledgeable in economic policy and politics present several different views of government aid to private schools. In the lead essay, William Cage argues that supporters of private schooling are shortsighted in advocating public aid for private education. Government aid, says…

Evidence-based practice implementation: the impact of public versus private sector organization type on organizational support, provider attitudes, and adoption of evidence-based practice.

PubMed

Aarons, Gregory A; Sommerfeld, David H; Walrath-Greene, Christine M

2009-12-31

The goal of this study is to extend research on evidence-based practice (EBP) implementation by examining the impact of organizational type (public versus private) and organizational support for EBP on provider attitudes toward EBP and EBP use. Both organization theory and theory of innovation uptake and individual adoption of EBP guide the approach and analyses in this study. We anticipated that private sector organizations would provide greater levels of organizational support for EBPs leading to more positive provider attitudes towards EBPs and EBP use. We also expected attitudes toward EBPs to mediate the association of organizational support and EBP use. Participants were mental health service providers from 17 communities in 16 states in the United States (n = 170). Path analyses were conducted to compare three theoretical models of the impact of organization type on organizational support for EBP and of organizational support on provider attitudes toward EBP and EBP use. Consistent with our predictions, private agencies provided greater support for EBP implementation, and staff working for private agencies reported more positive attitudes toward adopting EBPs. Organizational support for EBP partially mediated the association of organization type on provider attitudes toward EBP. Organizational support was significantly positively associated with attitudes toward EBP and EBP use in practice. This study offers further support for the importance of organizational context as an influence on organizational support for EBP and provider attitudes toward adopting EBP. The study demonstrates the role organizational support in provider use of EBP in practice. This study also suggests that organizational support for innovation is a malleable factor in supporting use of EBP. Greater attention should be paid to organizational influences that can facilitate the dissemination and implementation of EBPs in community settings.

Perceived Social Support and Self-Esteem in Adolescents with Learning Disabilities at a Private School

ERIC Educational Resources Information Center

LaBarbera, Robin

2008-01-01

This study evaluated perceived social support and self-esteem in 66 students who attended a private school for students with learning disabilities. Results from a hierarchical regression analysis indicated that support from parents predicted 35% of the variance in global self-worth. Support from classmates, close friends, and teachers did not make…

Multiclass Reduced-Set Support Vector Machines

NASA Technical Reports Server (NTRS)

Tang, Benyang; Mazzoni, Dominic

2006-01-01

There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduced-set methods can be applied to multiclass SVMs made up of several binary SVMs, with significantly better results than reducing each binary SVM independently. Our approach is based on Burges' approach that constructs each reduced-set vector as the pre-image of a vector in kernel space, but we extend this by recomputing the SVM weights and bias optimally using the original SVM objective function. This leads to greater accuracy for a binary reduced-set SVM, and also allows vectors to be 'shared' between multiple binary SVMs for greater multiclass accuracy with fewer reduced-set vectors. We also propose computing pre-images using differential evolution, which we have found to be more robust than gradient descent alone. We show experimental results on a variety of problems and find that this new approach is consistently better than previous multiclass reduced-set methods, sometimes with a dramatic difference.

Management assessment of tank waste remediation system contractor readiness to proceed with phase 1B privatization

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

Certa, P.J.

1998-01-07

Readiness to Proceed With Phase 1B Privatization documents the processes used to determine readiness to proceed with tank waste treatment technologies from private industry, now known as TWRS privatization. An overall systems approach was applied to develop action plans to support the retrieval and disposal mission of the TWRS Project. The systems and infrastructure required to support the mission are known. Required systems are either in place or plans have been developed to ensure they exist when needed. Since October 1996 a robust system engineering approach to establishing integrated Technical Baselines, work breakdown structures, tank farms organizational structure and configurations,more » work scope, and costs has become part of the culture within the TWRS Project. An analysis of the programmatic, management, and technical activities necessary to declare readiness to proceed with execution of the mission demonstrates that the system, personnel, and hardware will be on line and ready to support the private contractors. The systems approach included defining the retrieval and disposal mission requirements and evaluating the readiness of the Project Hanford Management Contract (PHMC) team to support initiation of waste processing by the private contractors in June 2002 and to receive immobilized waste shortly thereafter. The Phase 1 feed delivery requirements from the private contractor Requests for Proposal were reviewed. Transfer piping routes were mapped, existing systems were evaluated, and upgrade requirements were defined.« less

A Subdivision-Based Representation for Vector Image Editing.

PubMed

Liao, Zicheng; Hoppe, Hugues; Forsyth, David; Yu, Yizhou

2012-11-01

Vector graphics has been employed in a wide variety of applications due to its scalability and editability. Editability is a high priority for artists and designers who wish to produce vector-based graphical content with user interaction. In this paper, we introduce a new vector image representation based on piecewise smooth subdivision surfaces, which is a simple, unified and flexible framework that supports a variety of operations, including shape editing, color editing, image stylization, and vector image processing. These operations effectively create novel vector graphics by reusing and altering existing image vectorization results. Because image vectorization yields an abstraction of the original raster image, controlling the level of detail of this abstraction is highly desirable. To this end, we design a feature-oriented vector image pyramid that offers multiple levels of abstraction simultaneously. Our new vector image representation can be rasterized efficiently using GPU-accelerated subdivision. Experiments indicate that our vector image representation achieves high visual quality and better supports editing operations than existing representations.

White Corporate Philanthropy and Its Support of Private Black Colleges in the 1960s and 1970s

ERIC Educational Resources Information Center

Gasman, Marybeth; Drezner, Noah D.

2008-01-01

This paper traces the rise of corporate philanthropy in terms of its support of Black colleges, explores financial support overall of Black colleges during the 1960s and 1970s, and describes the relationships between corporations and private Black college leaders.

Chemical safety practice amongst the health workers of Fiji.

PubMed

Naduva, Adriu

2006-09-01

The National Health Service of Fiji includes private and public institutions that use a variety of chemicals of varying hazardousness. A survey was carried out to describe chemical safety issues amongst health workers in Fiji. Questionnaires were given to 133 private and Government health institutions. Most health facilities lack awareness on safe chemical waste management and do not have technical training on chemical safety. Most institutions do not have chemical handling, packaging and labelling procedure and equipment with a marked deficiency in the vector sector. Most facilities state that they have adequate chemical safety information from the suppliers, while a few alarmingly still resort to container labels and information from colleagues.

Eliminating malaria in Malaysia: the role of partnerships between the public and commercial sectors in Sabah

PubMed Central

2014-01-01

Background Countries in the Asia Pacific region have made great progress in the fight against malaria; several are rapidly approaching elimination. However, malaria control programmes operating in elimination settings face substantial challenges, particularly around mobile migrant populations, access to remote areas and the diversity of vectors with varying biting and breeding behaviours. These challenges can be addressed through subnational collaborations with commercial partners, such as mining or plantation companies, that can conduct or support malaria control activities to cover employees. Such partnerships can be a useful tool for accessing high-risk populations and supporting malaria elimination goals. Methods This observational qualitative case study employed semi-structured key informant interviews to describe partnerships between the Malaysian Malaria Control Programme (MCP), and private palm oil, rubber and acacia plantations in the state of Sabah. Semi-structured interview guides were used to examine resource commitments, incentives, challenges, and successes of the collaborations. Results Interviews with workers from private plantations and the state of Sabah MCP indicated that partnerships with the commercial sector had contributed to decreases in incidence at plantation sites since 1991. Several plantations contribute financial and human resources toward malaria control efforts and all plantations frequently communicate with the MCP to help monitor the malaria situation on-site. Management of partnerships between private corporations and government entities can be challenging, as prioritization of malaria control may change with annual profits or arrival of new management. Conclusions Partnering with the commercial sector has been an essential operational strategy to support malaria elimination in Sabah. The successes of these partnerships rely on a common understanding that elimination will be a mutually beneficial outcome for employers and the general public. Best practices included consistent communication, developing government-staffed subsector offices for malaria control on-site, engaging commercial plantations to provide financial and human resources for malaria control activities, and the development of new worker screening programmes. The successes and challenges associated with partnerships between the public and commercial sector can serve as an example for other malaria-eliminating countries with large plantation sectors, and may also be applied to other sectors that employ migrant workers or have commercial enterprises in hard to reach areas. PMID:24443824

Aggregating QECB Allocations & Using QECBs to Support the Private Sector. A Case Study on Massachusetts

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

Zimring, Mark; Borgeson, Merrian

2012-08-01

Qualified Energy Conservation Bonds (QECBs) are federally-subsidized bonds that enable state, tribal, and local government issuers to borrow money to fund a range of energy conservation projects at very attractive interest rates and long terms. While small allocation sizes have deterred some local governments from pursuing issuances, state agencies in Massachusetts have partnered with local governments to aggregate QECBs to support a range of public and private projects. In most states, QECBs have been utilized primarily to fund energy conservation projects for public entities, but Massachusetts has facilitated over $10 million of private activity QECB issuances to support three privately-ownedmore » renewable energy projects—with more projects in the pipeline.« less

Insect cell transformation vectors that support high level expression and promoter assessment in insect cell culture

USDA-ARS?s Scientific Manuscript database

A somatic transformation vector, pDP9, was constructed that provides a simplified means of producing permanently transformed cultured insect cells that support high levels of protein expression of foreign genes. The pDP9 plasmid vector incorporates DNA sequences from the Junonia coenia densovirus th...

Differentially Private Frequent Subgraph Mining

PubMed Central

Xu, Shengzhi; Xiong, Li; Cheng, Xiang; Xiao, Ke

2016-01-01

Mining frequent subgraphs from a collection of input graphs is an important topic in data mining research. However, if the input graphs contain sensitive information, releasing frequent subgraphs may pose considerable threats to individual's privacy. In this paper, we study the problem of frequent subgraph mining (FGM) under the rigorous differential privacy model. We introduce a novel differentially private FGM algorithm, which is referred to as DFG. In this algorithm, we first privately identify frequent subgraphs from input graphs, and then compute the noisy support of each identified frequent subgraph. In particular, to privately identify frequent subgraphs, we present a frequent subgraph identification approach which can improve the utility of frequent subgraph identifications through candidates pruning. Moreover, to compute the noisy support of each identified frequent subgraph, we devise a lattice-based noisy support derivation approach, where a series of methods has been proposed to improve the accuracy of the noisy supports. Through formal privacy analysis, we prove that our DFG algorithm satisfies ε-differential privacy. Extensive experimental results on real datasets show that the DFG algorithm can privately find frequent subgraphs with high data utility. PMID:27616876

State Regulations versus Private Foundations.

ERIC Educational Resources Information Center

Sansbury, Olin B., Jr.

1984-01-01

State governments recognize higher education's need to reach out aggressively to industry and other private donors for financial support, but may also closely regulate the activities of private foundations that seek and manage funds for public institutions of higher education. Both private and public higher education institutions should be…

Private vs. Public Higher Education Budgeting

ERIC Educational Resources Information Center

Beamer, Sarah A.

2011-01-01

Private higher education institutions are those entities owned and operated by the private sector, while public institutions are those established, supported, and controlled by a governmental agency, most often a state. Key differences exist between private and public institutions that affect budgeting in critical ways. Such differences include…

Relations among social support, burnout, and experiences of anger: an investigation among emergency nurses.

PubMed

Ersoy-Kart, Müge

2009-01-01

The aim of the present study was to determine whether social support, burnout, and anger expression are related with each other among emergency nurses working in private- or public-sector hospitals. The sample consisted of 100 emergency nurses working in the private or public sector in Ankara, Turkey. The Maslach Burnout Inventory, The Multidimensional Scale of Perceived Social Support, and The Trait-Anger and Anger Expression Scale were used. The results demonstrated that social support did not differentiate among the nurses working in the private sector or in the public sector according to the burnout subscales' scores. However, nurses in the private sector find it more difficult to express their anger. The state-trait anger levels of the nurses differ according to the burnout levels and also according to the sector that they are working in. The congruence between this study's findings and the literature is discussed.

[Support vector machine?assisted diagnosis of human malignant gastric tissues based on dielectric properties].

PubMed

Zhang, Sa; Li, Zhou; Xin, Xue-Gang

2017-12-20

To achieve differential diagnosis of normal and malignant gastric tissues based on discrepancies in their dielectric properties using support vector machine. The dielectric properties of normal and malignant gastric tissues at the frequency ranging from 42.58 to 500 MHz were measured by coaxial probe method, and the Cole?Cole model was used to fit the measured data. Receiver?operating characteristic (ROC) curve analysis was used to evaluate the discrimination capability with respect to permittivity, conductivity, and Cole?Cole fitting parameters. Support vector machine was used for discriminating normal and malignant gastric tissues, and the discrimination accuracy was calculated using k?fold cross? The area under the ROC curve was above 0.8 for permittivity at the 5 frequencies at the lower end of the measured frequency range. The combination of the support vector machine with the permittivity at all these 5 frequencies combined achieved the highest discrimination accuracy of 84.38% with a MATLAB runtime of 3.40 s. The support vector machine?assisted diagnosis is feasible for human malignant gastric tissues based on the dielectric properties.

Research on intrusion detection based on Kohonen network and support vector machine

NASA Astrophysics Data System (ADS)

Shuai, Chunyan; Yang, Hengcheng; Gong, Zeweiyi

2018-05-01

In view of the problem of low detection accuracy and the long detection time of support vector machine, which directly applied to the network intrusion detection system. Optimization of SVM parameters can greatly improve the detection accuracy, but it can not be applied to high-speed network because of the long detection time. a method based on Kohonen neural network feature selection is proposed to reduce the optimization time of support vector machine parameters. Firstly, this paper is to calculate the weights of the KDD99 network intrusion data by Kohonen network and select feature by weight. Then, after the feature selection is completed, genetic algorithm (GA) and grid search method are used for parameter optimization to find the appropriate parameters and classify them by support vector machines. By comparing experiments, it is concluded that feature selection can reduce the time of parameter optimization, which has little influence on the accuracy of classification. The experiments suggest that the support vector machine can be used in the network intrusion detection system and reduce the missing rate.

Veterinarian challenges to providing a multi-agency response to farm animal welfare problems in Ireland: responding to the human factor.

PubMed

Devitt, C; Kelly, P; Blake, M; Hanlon, A; More, S J

2013-12-01

In 2012, the authors undertook a study of the challenges facing government and private veterinarians in responding to the human element of farm animal welfare incidents (i.e. the personal problems and difficulties of farmers that can result in farm animal neglect). This paper reports their findings and examines the role of veterinarians in responding to the difficulties of farmers. It also looks at their experiences of attempting to build a multi-agency approach involving veterinary and human support services. This paper builds on a study whereby the authors considered how social, health and attitudinal factors, as well as mental health problems, contribute to farm animal welfare incidents in Ireland. An early warning system involving relevant agencies is in place to identify and prevent farm animal welfare problems before they become critical. The literature provides examples of private veterinarians combining with support services where there are indicators of animal and human abuse. Yet there are no research examples of government or private veterinarians linking with support services to resolve farm animal welfare cases where there are social, health, and/or mental health difficulties with the herd owner. Four focus groups were conducted with government veterinarians (n = 18) and three with private veterinarians (n = 12). Government veterinarians made contact with support services to seek advice on how best to respond to the human element of farm animal welfare incidents, and/or to seek support for the herd owner. Contact between government and private veterinarians was driven by the former. Communication between agencies was influenced by individual efforts and personal contacts. Formal structures and guidelines, perceived professional capabilities in determining herd owner needs, and client confidentiality concerns among support services and private veterinarians were less influential. The fear of losing clients and the financial implications of this were also cited by private veterinarians. Family, neighbours and local support groups assisted in reaching an on-farm solution. The paper concludes with the requirements for a multi-agency approach in Ireland: the provision of tailored information and guidelines targeting government and private veterinarians and support services, and a comprehensive structure for relationship-building, planning, and cross-reporting between all the relevant agencies.

Management assessment of tank waste remediation system contractor readiness to proceed with phase 1B privatization

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

Honeyman, J.O.

1998-01-09

This Management Assessment of Tank Waste Remediation System (TWRS) Contractor Readiness to Proceed With Phase 1B Privatization documents the processes used to determine readiness to proceed with tank waste treatment technologies from private industry, now known as TWRS privatization. An overall systems approach was applied to develop action plans to support the retrieval and disposal mission of the TWRS Project. The systems and infrastructure required to support the mission are known. Required systems are either in place or plans have been developed to ensure they exist when needed. Since October 1996 a robust system engineering approach to establishing integrated Technicalmore » Baselines, work breakdown structures, tank farms organizational structure and configurations, work scope, and costs has become part of the culture within the TWRS Project. An analysis of the programmatic, management, and technical activities necessary to declare readiness to proceed with execution of the mission demonstrates that the system, personnel, and hardware will be on-line and ready to support the private contractors. The systems approach included defining the retrieval and disposal mission requirements and evaluating the readiness of the Project Hanford Management Contract (PHMC) team to support initiation of waste processing by the private contractors in June 2002 and to receive immobilized waste shortly thereafter. The Phase 1 feed delivery requirements from the private contractor Requests for Proposal were reviewed. Transfer piping routes were mapped, existing systems were evaluated, and upgrade requirements were defined.« less

A Power Transformers Fault Diagnosis Model Based on Three DGA Ratios and PSO Optimization SVM

NASA Astrophysics Data System (ADS)

Ma, Hongzhe; Zhang, Wei; Wu, Rongrong; Yang, Chunyan

2018-03-01

In order to make up for the shortcomings of existing transformer fault diagnosis methods in dissolved gas-in-oil analysis (DGA) feature selection and parameter optimization, a transformer fault diagnosis model based on the three DGA ratios and particle swarm optimization (PSO) optimize support vector machine (SVM) is proposed. Using transforming support vector machine to the nonlinear and multi-classification SVM, establishing the particle swarm optimization to optimize the SVM multi classification model, and conducting transformer fault diagnosis combined with the cross validation principle. The fault diagnosis results show that the average accuracy of test method is better than the standard support vector machine and genetic algorithm support vector machine, and the proposed method can effectively improve the accuracy of transformer fault diagnosis is proved.

New Patrons of Research

NASA Astrophysics Data System (ADS)

McNutt, M. K.

2014-12-01

Despite the fact that many US researchers face increasing competition in chasing after federal support that has not kept pace with inflation, the good news is that private support is on the rise. A growing number of wealthy individuals are investing in research areas that reflect their deeply-held passions as their personal philanthropy. They typically are unafraid to take risks, abhor bureaucracy, and nimbly cross disciplinary boundaries. Many put their personal imprimatur on the direction and operation of the ventures that bear their names. However, private funding is not a replacement for federal funding. It is not coordinated. Absent adequate federal support, gaps can develop: between and within fields, in the balance of exploratory, basic, applied, and translational research, and in the support of scientific talent at different levels of training or institutions of different types. The private share remains small and cannot compensate for significant losses in federal dollars. For these reasons, it is important that scientists and philanthropists make the case to our political leadership that private funding does not replace public support. Private funding is and always has been a huge boon to the scientific enterprise. Universities and researchers have for more than a century been successfully merging public and private funds to profit from the advantages of each funding source, accelerate scientific discovery, and benefit humanity. Given the many causes that could engage the attention of these philanthropists, we are fortunate that so many have chosen to give back to society through the geosciences.

The Design of a Templated C++ Small Vector Class for Numerical Computing

NASA Technical Reports Server (NTRS)

Moran, Patrick J.

2000-01-01

We describe the design and implementation of a templated C++ class for vectors. The vector class is templated both for vector length and vector component type; the vector length is fixed at template instantiation time. The vector implementation is such that for a vector of N components of type T, the total number of bytes required by the vector is equal to N * size of (T), where size of is the built-in C operator. The property of having a size no bigger than that required by the components themselves is key in many numerical computing applications, where one may allocate very large arrays of small, fixed-length vectors. In addition to the design trade-offs motivating our fixed-length vector design choice, we review some of the C++ template features essential to an efficient, succinct implementation. In particular, we highlight some of the standard C++ features, such as partial template specialization, that are not supported by all compilers currently. This report provides an inventory listing the relevant support currently provided by some key compilers, as well as test code one can use to verify compiler capabilities.

An Efficient Wait-Free Vector

DOE PAGES

Feldman, Steven; Valera-Leon, Carlos; Dechev, Damian

2016-03-01

The vector is a fundamental data structure, which provides constant-time access to a dynamically-resizable range of elements. Currently, there exist no wait-free vectors. The only non-blocking version supports only a subset of the sequential vector API and exhibits significant synchronization overhead caused by supporting opposing operations. Since many applications operate in phases of execution, wherein each phase only a subset of operations are used, this overhead is unnecessary for the majority of the application. To address the limitations of the non-blocking version, we present a new design that is wait-free, supports more of the operations provided by the sequential vector,more » and provides alternative implementations of key operations. These alternatives allow the developer to balance the performance and functionality of the vector as requirements change throughout execution. Compared to the known non-blocking version and the concurrent vector found in Intel’s TBB library, our design outperforms or provides comparable performance in the majority of tested scenarios. Over all tested scenarios, the presented design performs an average of 4.97 times more operations per second than the non-blocking vector and 1.54 more than the TBB vector. In a scenario designed to simulate the filling of a vector, performance improvement increases to 13.38 and 1.16 times. This work presents the first ABA-free non-blocking vector. Finally, unlike the other non-blocking approach, all operations are wait-free and bounds-checked and elements are stored contiguously in memory.« less

A qualitative exploration of the factors influencing the job satisfaction and career development of physiotherapists in private practice.

PubMed

Davies, J M; Edgar, S; Debenham, J

2016-09-01

The aim of this study was to investigate factors contributing to job satisfaction at different career stages, among private practice physiotherapists in Australia. Qualitative case study design utilising focus groups. Sixteen participants allocated to 3 focus groups: new graduates (n = 6), post graduates (n = 5) and practice owners (n = 5). Focus groups were transcribed verbatim and a thematic analysis was undertaken to determine themes and subthemes from each focus group. The key themes identified within each focus group included the role of peer support and mentoring, professional development, professional relationships, new graduate employment issues and career pathways within private practice. In particular, issues surrounding the new graduate experience in private practice were explored, with all groups noting lack of support and financial pressures were of concern. Findings demonstrated that new graduates are underprepared to work in private practice and modifications to the delivery of peer support, mentoring and professional development is required. Key recommendations include physiotherapy undergraduate program reform to reflect industry requirements in private practice, an increase in private practice clinical placement numbers, as well as streamlining the physiotherapy profession to improve career development pathways. Copyright © 2016 Elsevier Ltd. All rights reserved.

CURRENT CONDITIONS AND RESIDENCE PREFERENCES OR CITIZENS' PERCEPTIONS ON NONCONVENTIONAL WATER RESOURCES

NASA Astrophysics Data System (ADS)

Tsuzuki, Yoshiaki; Aramaki, Toshiya

Preferences or perceptions of ordinary citizens on three kinds of nonconventional water resources including rainwater, permissible groundwater exuding to underground railway stations and tunnels and reclaimed wastewater were investigated by use of the Internet survey method. The survey results were analysed with analytical hierar chal process (AHP) and willingness to pay (WTP). Weight vectors of natural environment and people's lives were found larger than other three first order evaluation conditions, society, economics and technology. The order of the weight vector values for the three water resources were rainwater, reclaimed wastewater and permissible groundwater. That for the five water usages were agricultural and horticulture water, water storage in preparation for disaster, toilet flushing water, environment water and sprinkler water for washing road and cooling atmosphere temperature. The difference between toilet flushing water and environment water was not significant by 5% significance. The analyzed data showed that differences between the weight vector values of the alternatives (water resources and their usages) became small by increasing the number of the evaluation conditions, which would be a topic to be resolved for AHP application to actual public projects. For water resources, WTP with public budgets was Japanese Yen (JY) 53,100-55,100 person-1 year-1, and WTP with private finances was JY 19,100-20,800 person-1 year-1. For water usages, public WTP was JY 20,400-47,200 person-1 year-1 and private WTP was JY 8,400-16,000 person-1 year-1. The orders of WTP values were similar to the orders of the weight vector values for both water resources and their usages obtained by the AHP analysis. Effective dissemination subjects and objects of the nonconventional water resources and their usages were extracted by the analysis for attributes including sex, age, living area, occupation and education.

Do racial disparities in private transfers help explain the racial wealth gap? New evidence from longitudinal data.

PubMed

McKernan, Signe-Mary; Ratcliffe, Caroline; Simms, Margaret; Zhang, Sisi

2014-06-01

How do private transfers differ by race and ethnicity, and do such differences explain the racial and ethnic disparity in wealth? Using the Panel Study of Income Dynamics, this study examines private transfers by race and ethnicity in the United States and explores a causal relationship between private transfers and wealth. Panel data and a family-level fixed-effect model are used to control for the endogeneity of private transfers. Private transfers in the form of financial support received and given from extended families and friends, as well as large gifts and inheritances, are examined. We find that African Americans and Hispanics (both immigrant and nonimmigrant) receive less in both types of private transfers than whites. Large gifts and inheritances, but not net financial support received, are related to wealth increases for African American and white families. Overall, we estimate that the African American shortfall in large gifts and inheritances accounts for 12 % of the white-black racial wealth gap.

Public and Private Schooling in France: An Investigation into Family Choice.

ERIC Educational Resources Information Center

Langouet, Gabriel; Leger, Alain

2000-01-01

During the 1980s, 35 percent of French pupils attended private schools at some point. The private sector (largely state-supported Catholic schools) offered a second chance that was not seized equally. Research shows public-sector recruitment was more democratic; private schools equalized results more successfully. (Contains 12 references.) (MLH)

Analysis of the Choice for Public and Private Education.

ERIC Educational Resources Information Center

Gemello, John M.; Osman, Jack W.

Key factors influencing the decision to attend private school are identified in this paper. It looks at the factors accounting for varying rates of private school attendance and estimates the responsiveness of such attendance to government support. It studies the variation in private school attendance rates at three levels: across states, across…

Public-private partnership experience enabling translational research for anti-tick vaccine used in integrated Rhipicephalus (Boophilus) microplus and R. annulatus tick eradication in the United States of America

USDA-ARS?s Scientific Manuscript database

Rhipicephalus (Boophilus) microplus and R. annulatus are invasive tick species and vectors of microbes causing bovine babesiosis and anaplasmosis that were declared eradicated from the United States of America in 1943 through efforts of the Cattle Fever Tick Eradication Program. These tick disease v...

Role of Private Enterprise in Cancer Control in Low to Middle Income Countries

PubMed Central

Mahoney, Martin; Okoye, Ifeoma; Ejiogu, Kenneth; George, Saby; Dy, Grace; Jimoh, Mutiu; Salako, Omolola; Ilegbune, Oge; Chugani, Bindiya; Ezeome, Emmanuel; Popoola, Abiodun O.; Michalek, Arthur M.

2016-01-01

Background. About 65% of cancer deaths globally occur in low to middle income countries (LMICs) where prioritization and allocation of resources to cancer care are often quite poor. In the absence of governmental focus on this problem, public-private partnerships may be an avenue to provide effective cancer control. Methods. This manuscript highlights the establishment of a nongovernmental organization (NGO) to stimulate the development of partnerships between oncology professionals, private enterprise, and academic institutions, both locally and internationally. Examples of capacity building, grant support, establishment of collaborative networks, and the development of a facility to provide clinical care are highlighted. Results. Collaborations were established between oncology professionals at academic institutions in the US and Nigeria. Cancer control workshops were conducted in Nigeria with grant support from the Union for International Cancer Control (UICC). A monthly tumor board conference was established at LASUTH in Lagos, and further capacity building is underway with grant support from the United States NCI. An outpatient, privately funded oncology clinic in Lagos has been launched. Conclusion. In LMICs, effective partnership between public and private institutions can lead to tangible strides in cancer control. The use of creative healthcare financing models can also support positive change. PMID:28070189

Soft-sensing model of temperature for aluminum reduction cell on improved twin support vector regression

NASA Astrophysics Data System (ADS)

Li, Tao

2018-06-01

The complexity of aluminum electrolysis process leads the temperature for aluminum reduction cells hard to measure directly. However, temperature is the control center of aluminum production. To solve this problem, combining some aluminum plant's practice data, this paper presents a Soft-sensing model of temperature for aluminum electrolysis process on Improved Twin Support Vector Regression (ITSVR). ITSVR eliminates the slow learning speed of Support Vector Regression (SVR) and the over-fit risk of Twin Support Vector Regression (TSVR) by introducing a regularization term into the objective function of TSVR, which ensures the structural risk minimization principle and lower computational complexity. Finally, the model with some other parameters as auxiliary variable, predicts the temperature by ITSVR. The simulation result shows Soft-sensing model based on ITSVR has short time-consuming and better generalization.

Preparedness for physiotherapy in private practice: Novices identify key factors in an interpretive description study.

PubMed

Atkinson, Robyn; McElroy, Theresa

2016-04-01

Physiotherapists in Australia deliver services to a diverse range of clients, across many settings, however little research exists examining graduate preparedness for practice, even in the populous field of private practice. To explore novice physiotherapist perspectives on preparedness for work in private practice. The qualitative approach of interpretive description was used to guide in-depth interviews with 8 novice physiotherapists from 3 universities working in 5 private practices in Melbourne. All interviews were digitally recorded, transcribed verbatim and analyzed thematically. Four main themes influencing graduate preparedness for work in private practice were identified: 1) non-curricular experiences (e.g. sports training) 2) elective curricular: practicum experiences; 3) curricular: attainment of skills specific to private practice; and 4) the private practice setting: supportive colleagues. This combination of non-curricular, curricular, and practice setting factors offered the necessary scaffolding for the graduates to report feeling prepared for work in private practice. Non-curricular activities, radiological instruction, clinical placements, building supportive colleague relations and professional development in private practice are recommended as potential means of building preparedness in novice therapists. Findings have implications for physiotherapy students, educators and private practice clinics looking to recruit new graduates. Copyright © 2015 Elsevier Ltd. All rights reserved.

Cost-efficiency of highway operations and maintenance of public-private partnerships.

DOT National Transportation Integrated Search

2014-08-01

While the literature on public-private partnerships (PPPs) argues that the private sectors life-cycle : approach to design and construction results in operational cost efficiencies, empirical support is : missing. This study explored that issue by...

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

Feldman, Steven; Valera-Leon, Carlos; Dechev, Damian

The vector is a fundamental data structure, which provides constant-time access to a dynamically-resizable range of elements. Currently, there exist no wait-free vectors. The only non-blocking version supports only a subset of the sequential vector API and exhibits significant synchronization overhead caused by supporting opposing operations. Since many applications operate in phases of execution, wherein each phase only a subset of operations are used, this overhead is unnecessary for the majority of the application. To address the limitations of the non-blocking version, we present a new design that is wait-free, supports more of the operations provided by the sequential vector,more » and provides alternative implementations of key operations. These alternatives allow the developer to balance the performance and functionality of the vector as requirements change throughout execution. Compared to the known non-blocking version and the concurrent vector found in Intel’s TBB library, our design outperforms or provides comparable performance in the majority of tested scenarios. Over all tested scenarios, the presented design performs an average of 4.97 times more operations per second than the non-blocking vector and 1.54 more than the TBB vector. In a scenario designed to simulate the filling of a vector, performance improvement increases to 13.38 and 1.16 times. This work presents the first ABA-free non-blocking vector. Finally, unlike the other non-blocking approach, all operations are wait-free and bounds-checked and elements are stored contiguously in memory.« less

A comparative study of surface EMG classification by fuzzy relevance vector machine and fuzzy support vector machine.

PubMed

Xie, Hong-Bo; Huang, Hu; Wu, Jianhua; Liu, Lei

2015-02-01

We present a multiclass fuzzy relevance vector machine (FRVM) learning mechanism and evaluate its performance to classify multiple hand motions using surface electromyographic (sEMG) signals. The relevance vector machine (RVM) is a sparse Bayesian kernel method which avoids some limitations of the support vector machine (SVM). However, RVM still suffers the difficulty of possible unclassifiable regions in multiclass problems. We propose two fuzzy membership function-based FRVM algorithms to solve such problems, based on experiments conducted on seven healthy subjects and two amputees with six hand motions. Two feature sets, namely, AR model coefficients and room mean square value (AR-RMS), and wavelet transform (WT) features, are extracted from the recorded sEMG signals. Fuzzy support vector machine (FSVM) analysis was also conducted for wide comparison in terms of accuracy, sparsity, training and testing time, as well as the effect of training sample sizes. FRVM yielded comparable classification accuracy with dramatically fewer support vectors in comparison with FSVM. Furthermore, the processing delay of FRVM was much less than that of FSVM, whilst training time of FSVM much faster than FRVM. The results indicate that FRVM classifier trained using sufficient samples can achieve comparable generalization capability as FSVM with significant sparsity in multi-channel sEMG classification, which is more suitable for sEMG-based real-time control applications.

A new method for the prediction of chatter stability lobes based on dynamic cutting force simulation model and support vector machine

NASA Astrophysics Data System (ADS)

Peng, Chong; Wang, Lun; Liao, T. Warren

2015-10-01

Currently, chatter has become the critical factor in hindering machining quality and productivity in machining processes. To avoid cutting chatter, a new method based on dynamic cutting force simulation model and support vector machine (SVM) is presented for the prediction of chatter stability lobes. The cutting force is selected as the monitoring signal, and the wavelet energy entropy theory is used to extract the feature vectors. A support vector machine is constructed using the MATLAB LIBSVM toolbox for pattern classification based on the feature vectors derived from the experimental cutting data. Then combining with the dynamic cutting force simulation model, the stability lobes diagram (SLD) can be estimated. Finally, the predicted results are compared with existing methods such as zero-order analytical (ZOA) and semi-discretization (SD) method as well as actual cutting experimental results to confirm the validity of this new method.

Perspectives on the Current Status of and Emerging Policy Issues for Private Research Universities. AGB Occasional Paper No. 9.

ERIC Educational Resources Information Center

Geiger, Roger L.

1991-01-01

Current trends affecting private research universities include: privatization, more programmatic support of research, dispersion of university research, and a shift in the balance of activities from the center toward the periphery. Differences in finance and control of private universities are related to their disproportionate importance, given…

Community detection in complex networks using proximate support vector clustering

NASA Astrophysics Data System (ADS)

Wang, Feifan; Zhang, Baihai; Chai, Senchun; Xia, Yuanqing

2018-03-01

Community structure, one of the most attention attracting properties in complex networks, has been a cornerstone in advances of various scientific branches. A number of tools have been involved in recent studies concentrating on the community detection algorithms. In this paper, we propose a support vector clustering method based on a proximity graph, owing to which the introduced algorithm surpasses the traditional support vector approach both in accuracy and complexity. Results of extensive experiments undertaken on computer generated networks and real world data sets illustrate competent performances in comparison with the other counterparts.

A Wavelet Support Vector Machine Combination Model for Singapore Tourist Arrival to Malaysia

NASA Astrophysics Data System (ADS)

Rafidah, A.; Shabri, Ani; Nurulhuda, A.; Suhaila, Y.

2017-08-01

In this study, wavelet support vector machine model (WSVM) is proposed and applied for monthly data Singapore tourist time series prediction. The WSVM model is combination between wavelet analysis and support vector machine (SVM). In this study, we have two parts, first part we compare between the kernel function and second part we compare between the developed models with single model, SVM. The result showed that kernel function linear better than RBF while WSVM outperform with single model SVM to forecast monthly Singapore tourist arrival to Malaysia.

Agricultural research and development: Public and private investments under alternative markets and institutions, May 1996

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

Fuglie, K.; Ballenger, N.; Day, K.

1996-05-01

Empirical studies indicate high economic returns from the public investment in agricultural research. Yet, even as society is placing broader demands on the research system, taxpayer support for public agricultural research is unlikely to increase. Stronger ownership rights for intellectual property have increased incentives for private investment in agricultural research, but key elements still require direct public support. The USDA is developing new mechanisms to build a more effective public-private partnership in agricultural research.

Attorney views on the use of private agencies for probation supervision and treatment.

PubMed

Alarid, Leanne Fiftal; Schloss, Christine S

2009-06-01

The exponential rise in probation caseloads has necessitated that some jurisdictions contract with private probation agencies and community-based private treatment providers. Regulations that monitor private providers are ill defined or absent, leaving standards open to broad interpretation. Attorneys in one jurisdiction that used private providers were surveyed to measure their beliefs about private treatment providers for people sentenced to probation. The research found that attorneys supported private provider representatives being present in court to contact defendants and to provide evidence to strengthen probation violations. Private agency reputation and standardized criteria were important to establish qualifications in offering supervision and treatment services.

Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.

PubMed

Bisenius, Sandrine; Mueller, Karsten; Diehl-Schmid, Janine; Fassbender, Klaus; Grimmer, Timo; Jessen, Frank; Kassubek, Jan; Kornhuber, Johannes; Landwehrmeyer, Bernhard; Ludolph, Albert; Schneider, Anja; Anderl-Straub, Sarah; Stuke, Katharina; Danek, Adrian; Otto, Markus; Schroeter, Matthias L

2017-01-01

Primary progressive aphasia (PPA) encompasses the three subtypes nonfluent/agrammatic variant PPA, semantic variant PPA, and the logopenic variant PPA, which are characterized by distinct patterns of language difficulties and regional brain atrophy. To validate the potential of structural magnetic resonance imaging data for early individual diagnosis, we used support vector machine classification on grey matter density maps obtained by voxel-based morphometry analysis to discriminate PPA subtypes (44 patients: 16 nonfluent/agrammatic variant PPA, 17 semantic variant PPA, 11 logopenic variant PPA) from 20 healthy controls (matched for sample size, age, and gender) in the cohort of the multi-center study of the German consortium for frontotemporal lobar degeneration. Here, we compared a whole-brain with a meta-analysis-based disease-specific regions-of-interest approach for support vector machine classification. We also used support vector machine classification to discriminate the three PPA subtypes from each other. Whole brain support vector machine classification enabled a very high accuracy between 91 and 97% for identifying specific PPA subtypes vs. healthy controls, and 78/95% for the discrimination between semantic variant vs. nonfluent/agrammatic or logopenic PPA variants. Only for the discrimination between nonfluent/agrammatic and logopenic PPA variants accuracy was low with 55%. Interestingly, the regions that contributed the most to the support vector machine classification of patients corresponded largely to the regions that were atrophic in these patients as revealed by group comparisons. Although the whole brain approach took also into account regions that were not covered in the regions-of-interest approach, both approaches showed similar accuracies due to the disease-specificity of the selected networks. Conclusion, support vector machine classification of multi-center structural magnetic resonance imaging data enables prediction of PPA subtypes with a very high accuracy paving the road for its application in clinical settings.

A Fast Reduced Kernel Extreme Learning Machine.

PubMed

Deng, Wan-Yu; Ong, Yew-Soon; Zheng, Qing-Hua

2016-04-01

In this paper, we present a fast and accurate kernel-based supervised algorithm referred to as the Reduced Kernel Extreme Learning Machine (RKELM). In contrast to the work on Support Vector Machine (SVM) or Least Square SVM (LS-SVM), which identifies the support vectors or weight vectors iteratively, the proposed RKELM randomly selects a subset of the available data samples as support vectors (or mapping samples). By avoiding the iterative steps of SVM, significant cost savings in the training process can be readily attained, especially on Big datasets. RKELM is established based on the rigorous proof of universal learning involving reduced kernel-based SLFN. In particular, we prove that RKELM can approximate any nonlinear functions accurately under the condition of support vectors sufficiency. Experimental results on a wide variety of real world small instance size and large instance size applications in the context of binary classification, multi-class problem and regression are then reported to show that RKELM can perform at competitive level of generalized performance as the SVM/LS-SVM at only a fraction of the computational effort incurred. Copyright © 2015 Elsevier Ltd. All rights reserved.

Support vector machines

NASA Technical Reports Server (NTRS)

Garay, Michael J.; Mazzoni, Dominic; Davies, Roger; Wagstaff, Kiri

2004-01-01

Support Vector Machines (SVMs) are a type of supervised learning algorith,, other examples of which are Artificial Neural Networks (ANNs), Decision Trees, and Naive Bayesian Classifiers. Supervised learning algorithms are used to classify objects labled by a 'supervisor' - typically a human 'expert.'.

Lysine acetylation sites prediction using an ensemble of support vector machine classifiers.

PubMed

Xu, Yan; Wang, Xiao-Bo; Ding, Jun; Wu, Ling-Yun; Deng, Nai-Yang

2010-05-07

Lysine acetylation is an essentially reversible and high regulated post-translational modification which regulates diverse protein properties. Experimental identification of acetylation sites is laborious and expensive. Hence, there is significant interest in the development of computational methods for reliable prediction of acetylation sites from amino acid sequences. In this paper we use an ensemble of support vector machine classifiers to perform this work. The experimentally determined acetylation lysine sites are extracted from Swiss-Prot database and scientific literatures. Experiment results show that an ensemble of support vector machine classifiers outperforms single support vector machine classifier and other computational methods such as PAIL and LysAcet on the problem of predicting acetylation lysine sites. The resulting method has been implemented in EnsemblePail, a web server for lysine acetylation sites prediction available at http://www.aporc.org/EnsemblePail/. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

Product Quality Modelling Based on Incremental Support Vector Machine

NASA Astrophysics Data System (ADS)

Wang, J.; Zhang, W.; Qin, B.; Shi, W.

2012-05-01

Incremental Support vector machine (ISVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. It is suitable for the problem of sequentially arriving field data and has been widely used for product quality prediction and production process optimization. However, the traditional ISVM learning does not consider the quality of the incremental data which may contain noise and redundant data; it will affect the learning speed and accuracy to a great extent. In order to improve SVM training speed and accuracy, a modified incremental support vector machine (MISVM) is proposed in this paper. Firstly, the margin vectors are extracted according to the Karush-Kuhn-Tucker (KKT) condition; then the distance from the margin vectors to the final decision hyperplane is calculated to evaluate the importance of margin vectors, where the margin vectors are removed while their distance exceed the specified value; finally, the original SVs and remaining margin vectors are used to update the SVM. The proposed MISVM can not only eliminate the unimportant samples such as noise samples, but also can preserve the important samples. The MISVM has been experimented on two public data and one field data of zinc coating weight in strip hot-dip galvanizing, and the results shows that the proposed method can improve the prediction accuracy and the training speed effectively. Furthermore, it can provide the necessary decision supports and analysis tools for auto control of product quality, and also can extend to other process industries, such as chemical process and manufacturing process.

7 CFR 1717.859 - Application process and timeframes.

Code of Federal Regulations, 2010 CFR

2010-01-01

... Lien Accommodations and Subordinations for 100 Percent Private Financing § 1717.859 Application process... supporting documents, such as a CWP. (b) Advance approval—100 percent private financing of distribution... of a lien accommodation or subordination for 100 percent private financing of distribution...

An Examination of a Virtual Private Network Implementation to Support a Teleworking Initiative: The Marcus Food Company Inc. Case Study

ERIC Educational Resources Information Center

Ferguson, Jason W.

2010-01-01

In this dissertation, the author examined the capabilities of virtual private networks (VPNs) in supporting teleworking environments for small businesses in the food marketing sector. The goal of this research was to develop an implementation model for small businesses in the food marketing sector that use a VPN solution to support teleworker…

An Analysis of Prime Vendor Support for the AH64 Apache.

DTIC Science & Technology

1998-06-05

efficiently manage repair parts. Circular h-16 The Congressional Budget Office has been studying public and private roles in maintaining military equipment...7. 5Ibid. Congressional Budget Office, Public and Private Roles in Maintaining Military Equipment at the Depot Level (Washington...performed exclusively by military personnel who are subject to deployment in a combat, combat support, or combat service support role are included in

Socio-economic inequity in demand for insecticide-treated nets, in-door residual house spraying, larviciding and fogging in Sudan.

PubMed

Onwujekwe, Obinna; Malik, El-Fatih Mohamed; Mustafa, Sara Hassan; Mnzava, Abraham

2005-12-15

In order to optimally prioritize and use public and private budgets for equitable malaria vector control, there is a need to determine the level and determinants of consumer demand for different vector control tools. To determine the demand from people of different socio-economic groups for indoor residual house-spraying (IRHS), insecticide-treated nets (ITNs), larviciding with chemicals (LWC), and space spraying/fogging (SS) and the disease control implications of the result. Ratings and levels of willingness-to-pay (WTP) for the vector control tools were determined using a random cross-sectional sample of 720 householdes drawn from two states. WTP was elicited using the bidding game. An asset-based socio-economic status (SES) index was used to explore whether WTP was related to SES of the respondents. IRHS received the highest proportion of highest preferred rating (41.0%) followed by ITNs (23.1%). However, ITNs had the highest mean WTP followed by IRHS, while LWC had the least. The regression analysis showed that SES was positively and statistically significantly related to WTP across the four vector control tools and that the respondents' rating of IRHS and ITNs significantly explained their levels of WTP for the two tools. People were willing to pay for all the vector-control tools, but the demand for the vector control tools was related to the SES of the respondents. Hence, it is vital that there are public policies and financing mechanisms to ensure equitable provision and utilisation of vector control tools, as well as protecting the poor from cost-sharing arrangements.

Training and Jobs Programs in Action: Case Studies in Private-Sector Initiatives for the Hard-to-Employ.

ERIC Educational Resources Information Center

Robison, David

This book contains fifty-three case studies covering a wide variety of private-sector activities and public-private partnerships designed to increase training and employment opportunities for the hard-to-employ and speed the transition of the unemployed from government support and subsidized jobs to permanent private employment. Compiled from a…

Informational conflicts created by the waggle dance

PubMed Central

Grüter, Christoph; Balbuena, M. Sol; Farina, Walter M

2008-01-01

The honeybee (Apis mellifera) waggle dance is one of the most intriguing animal communication signals. A dancing bee communicates the location of a profitable food source and its odour. Followers may often experience situations in which dancers indicate an unfamiliar location but carry the scent of a flower species the followers experienced previously at different locations. Food scents often reactivate bees to resume food collection at previously visited food patches. This double function of the dance creates a conflict between the social vector information and the private navigational information. We investigated which kind of information followers with field experience use in this situation and found that followers usually ignored the spatial information encoded by the waggle dance even if they followed a dance thoroughly (five waggle runs or more). They relied on private information about food source locations instead (in 93% of all cases). Furthermore, foragers preferred to follow dancers carrying food odours they knew from previous field trips, independently of the spatial information encoded in the dance. Surprisingly, neither odour identity nor the location indicated by the dancer was an important factor for the reactivation success of a dance. Our results contrast with the assumption that (i) followers usually try to decode the vector information and (ii) dances indicating an unfamiliar location are of little interest to experienced foragers. PMID:18331980

Informational conflicts created by the waggle dance.

PubMed

Grüter, Christoph; Balbuena, M Sol; Farina, Walter M

2008-06-07

The honeybee (Apis mellifera) waggle dance is one of the most intriguing animal communication signals. A dancing bee communicates the location of a profitable food source and its odour. Followers may often experience situations in which dancers indicate an unfamiliar location but carry the scent of a flower species the followers experienced previously at different locations. Food scents often reactivate bees to resume food collection at previously visited food patches. This double function of the dance creates a conflict between the social vector information and the private navigational information. We investigated which kind of information followers with field experience use in this situation and found that followers usually ignored the spatial information encoded by the waggle dance even if they followed a dance thoroughly (five waggle runs or more). They relied on private information about food source locations instead (in 93% of all cases). Furthermore, foragers preferred to follow dancers carrying food odours they knew from previous field trips, independently of the spatial information encoded in the dance. Surprisingly, neither odour identity nor the location indicated by the dancer was an important factor for the reactivation success of a dance. Our results contrast with the assumption that (i) followers usually try to decode the vector information and (ii) dances indicating an unfamiliar location are of little interest to experienced foragers.

Climatic and social risk factors for Aedes infestation in rural Thailand.

PubMed

Nagao, Yoshiro; Thavara, Usavadee; Chitnumsup, Pensri; Tawatsin, Apiwat; Chansang, Chitti; Campbell-Lendrum, Diarmid

2003-07-01

An intense epidemic of dengue haemorrhagic fever in 1998 prompted the Thai government to investigate the feasibility of focalized vector (Aedes aegypti) control programmes. We tested for correlations of three indices of Aedes larval abundance (housing index, container index and Breteau index) against 38 socio-economic and four climatic variables. Availability of public water wells, existence of transport services and proportion of tin houses were positively associated with larval indices. Private water wells, health education, health insurance coverage, thatched houses and use of firewood for cooking were negatively associated. These probably represent both direct effects on breeding sites (private vs. public wells decrease necessity to store water, and health education may encourage breeding site removal), and more general effects of health-related attitudes, housing quality and remoteness from urban areas. Indices were positively associated with daily minimum temperature, an increase in precipitation from the previous month (reflecting the onset of the rainy season) and daily maximum temperatures of approximately 33-34 degrees C. The associations were used to derive statistical models to predict the rank order of larval indices within the study area (Spearman's correlation coefficients = 0.525-0.554). The study provides a rational basis for identifying possible social interventions, and for prioritizing previously unsurveyed villages for further monitoring and focalized vector control.

A global trend: privatization and reform of social security pension plans.

PubMed

Poortvliet, W G; Laine, T P

1995-01-01

Ten years ago Chile successfully privatized its social security system, beginning a worldwide trend to solve the problem of an increasing burden on government-supported social security programs. Contributing factors include an aging population, fewer workers to support retirees, government budget deficits and the influence of politics.

Accelerating TB notification from the private health sector in Delhi, India.

PubMed

Kundu, Debashish; Chopra, Kamal; Khanna, Ashwani; Babbar, Neeti; Padmini, T J

2016-01-01

In India, almost half of all patients with tuberculosis (TB) seek care in the private sector as the first point of care. The national programme is unable to support such TB patients and facilitate effective treatment, as there is no information on TB and Multi or Extensively Drug Resistant TB (M/XDR-TB) diagnosis and treatment in private sector. To improve this situation, Government of India declared TB a notifiable disease for establishing TB surveillance system, to extend supportive mechanism for TB treatment adherence and standardised practices in the private sector. But TB notification from the private sector is a challenge and still a lot needs to be done to accelerate TB notification. Delhi State TB Control Programme had taken initiatives for improving notification of TB cases from the private sector in 2014. Key steps taken were to constitute a state level TB notification committee to oversee the progress of TB notification efforts in the state and direct 'one to one' sensitisation of private practitioners (PPs) (in single PP's clinic, corporate hospitals and laboratories) by the state notification teams with the help of available tools for sensitising the PP on TB notification - TB Notification Government Order, Guidance Tool for TB Notification and Standards of TB Care in India. As a result of focussed state level interventions, without much external support, there was an accelerated notification of TB cases from the private sector. TB notification cases from the private sector rose from 341 (in 2013) to 4049 (by the end of March 2015). Active state level initiatives have led to increase in TB case notification. Copyright © 2016 Tuberculosis Association of India. Published by Elsevier B.V. All rights reserved.

Government Investment in Manufacturing: Stimulus or Hindrance to Pakistan’s Private Sector?

DTIC Science & Technology

1999-01-01

private sector , but it also has diverted funds away from productive activities that would most likely have encouraged a follow-on expansion in private investment. Has the expansion of private investment in manufacturing increased the profitability of investment in other key sectors of the economy? And, if so, in which areas? Has government investment in manufacturing produced similar effects? Would a diversion of public investment funds from manufacturing to areas supporting private investment (energy, infrastructure) stimulate greater amounts of private investment, and if

Ecological, biological and social dimensions of dengue vector breeding in five urban settings of Latin America: a multi-country study.

PubMed

Quintero, Juliana; Brochero, Helena; Manrique-Saide, Pablo; Barrera-Pérez, Mario; Basso, César; Romero, Sonnia; Caprara, Andrea; De Lima Cunha, Jane Cris; Beltrán-Ayala, Efraín; Mitchell-Foster, Kendra; Kroeger, Axel; Sommerfeld, Johannnes; Petzold, Max

2014-01-21

Dengue is an increasingly important public health problem in most Latin American countries and more cost-effective ways of reducing dengue vector densities to prevent transmission are in demand by vector control programs. This multi-centre study attempted to identify key factors associated with vector breeding and development as a basis for improving targeted intervention strategies. In each of 5 participant cities in Mexico, Colombia, Ecuador, Brazil and Uruguay, 20 clusters were randomly selected by grid sampling to incorporate 100 contiguous households, non-residential private buildings (businesses) and public spaces. Standardized household surveys, cluster background surveys and entomological surveys specifically targeted to obtain pupal indices for Aedes aegypti, were conducted in the dry and wet seasons. The study clusters included mainly urban low-middle class populations with satisfactory infrastructure and -except for Uruguay- favourable climatic conditions for dengue vector development. Household knowledge about dengue and "dengue mosquitoes" was widespread, mainly through mass media, but there was less awareness around interventions to reduce vector densities. Vector production (measured through pupal indices) was favoured when water containers were outdoor, uncovered, unused (even in Colombia and Ecuador where the large tanks used for household water storage and washing were predominantly productive) and -particularly during the dry season- rainwater filled. Larval infestation did not reflect productive container types. All productive container types, including those important in the dry season, were identified by pupal surveys executed during the rainy season. A number of findings are relevant for improving vector control: 1) there is a need for complementing larval surveys with occasional pupal surveys (to be conducted during the wet season) for identifying and subsequently targeting productive container types; 2) the need to raise public awareness about useful and effective interventions in productive container types specific to their area; and 3) the motivation for control services that-according to this and similar studies in Asia- dedicated, targeted vector management can make a difference in terms of reducing vector abundance.

Forging Partnership: CRDF in the FSU and the World

NASA Astrophysics Data System (ADS)

Owens, Tom

2006-04-01

The founding legislation to facilitate non-proliferation, and to advance U.S. scientific, technical and human health objectives as well as U.S. foreign policy generally -- but also from private sources, to advance primarily humanitarian and educational goals. CRDF's experience melding public and private support for international scientific cooperation has yielded a unique set of procedures and programs that it seeks now to apply in new geographic arenas. Public Law 102-511 ``Freedom Support Act,'' Section 511, October 24, 1992 for CRDF clearly intended the organization to combine public and private purposes, and that it could and should receive funding from both public and private sources. It also gave CRDF specific formal Purposes that included building international partnerships for supporting high-quality research, helping weapons scientists find another line of work, and helping American industry and foreign scientists to work together for mutual benefit and economic progress. CRDF was expected to ``promote and support joint research and development projects for peaceful purposes between scientists and engineers in the United States and independent states of the former Soviet Union on subjects of mutual interest.'' CRDF has operated as a private foundation funding international research collaborations through peer-reviewed competitions, making more than 2,000 awards in ten years. It has carried out this work with resources provided largely by the U.S. government.

Bayesian Kernel Methods for Non-Gaussian Distributions: Binary and Multi-class Classification Problems

DTIC Science & Technology

2013-05-28

those of the support vector machine and relevance vector machine, and the model runs more quickly than the other algorithms . When one class occurs...incremental support vector machine algorithm for online learning when fewer than 50 data points are available. (a) Papers published in peer-reviewed journals...learning environments, where data processing occurs one observation at a time and the classification algorithm improves over time with new

Private Industry Support to Defense Needs.

DTIC Science & Technology

1982-04-19

especially private industry, must fully understand that defense procurement is changing drastically and it will no longer be looking for all its...products on the leading edge of technology. The price in time and money dictates this changed procure - ment strategy immediately. Private industry would...A process to stablize procurements and breakdown the barriers that are stopping new firms from entering into defense business; private industry

Lessons from Other Countries about Private School Aid: Higher Public Funding for Private Schools Usually Means More Government Regulation.

ERIC Educational Resources Information Center

Kober, Nancy

This booklet discusses the pros and cons of using public funds for vouchers or other plans to subsidize the costs of private schooling. An important but sometimes overlooked issue in the school-choice debate is how private schools might change if they accepted government support. Some lessons can be found in the experiences of other industrialized…

Navigating Public-Private Partnerships: Introducing the Continuum of Control

ERIC Educational Resources Information Center

DiMartino, Catherine

2014-01-01

In many urban districts, the public education landscape is being transformed as private-sector providers such as educational management organizations, charter management organizations, and partner support organizations partner with or run district schools. While some private-sector providers' visions for school reform have remained static…

Fear and Privatization

ERIC Educational Resources Information Center

Cooper, Bruce S.; Randall, E. Vance

2008-01-01

Supporters of public education fear attempts to privatize schools, while the private sector has always struggled against the monopolistic power of the public schools that educates almost 90% of all K-12 students. This trepidation has recently been intensified by the creation of a "third sector" that includes charter schools, voucher…

Outlook. Number 348

ERIC Educational Resources Information Center

Council for American Private Education, 2009

2009-01-01

Council for American Private Education (CAPE) is a coalition of national associations serving private schools K-12. Outlook is published monthly by CAPE. This issue contains the following articles: (1) Education Secretary Duncan Talks to Private School Leaders; (2) Students and Parents Rally to Support Scholarships; (3) Video Contest; and (4) CAPE…

Does the private finance initiative promote innovation in health care? The case of the British National Health Service.

PubMed

Petratos, Pythagoras

2005-12-01

The Private Finance Initiative (PFI) is a specific example of health care privatization within the British National Health Service. In this essay, I critically assess the ways in which various Private Finance Initiatives have increased health care efficiency and effectiveness, as well as encouraged medical innovation. Indeed, as the analysis will demonstrate, significant empirical evidence supports the conclusion that Private Finance Initiatives are a driving force of innovation within the British Health Care System.

Comparative Analysis of Enrollment and Financial Strength of Private Institutions. AIR 1989 Annual Forum Paper.

ERIC Educational Resources Information Center

Glover, Robert H.; Mills, Michael R.

A research design, decision support system, and results of a comparative analysis of enrollment and financial strength (of private institutions granting masters and doctoral degrees) are presented. Cluster analysis, discriminant analysis, multiple regression, and an interactive decision support system are used to compare the enrollment and…

Vector-model-supported approach in prostate plan optimization

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

Liu, Eva Sau Fan; Department of Health Technology and Informatics, The Hong Kong Polytechnic University; Wu, Vincent Wing Cheung

Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was developed with respect to the structural and physiologic features extracted from the Digital Imaging and Communications in Medicine (DICOM) files. Planning parameters were retrieved from the selected similar reference case and applied to the test case to bypass the gradual adjustment of planning parameters. Therefore, the planning time spent on the traditional trial-and-error manual optimization approach in the beginning of optimization could be reduced. Each S&S IMRT/VMAT prostate reference database comprised 100more » previously treated cases. Prostate cases were replanned with both traditional optimization and vector-model-supported optimization based on the oncologists' clinical dose prescriptions. A total of 360 plans, which consisted of 30 cases of S&S IMRT, 30 cases of 1-arc VMAT, and 30 cases of 2-arc VMAT plans including first optimization and final optimization with/without vector-model-supported optimization, were compared using the 2-sided t-test and paired Wilcoxon signed rank test, with a significance level of 0.05 and a false discovery rate of less than 0.05. For S&S IMRT, 1-arc VMAT, and 2-arc VMAT prostate plans, there was a significant reduction in the planning time and iteration with vector-model-supported optimization by almost 50%. When the first optimization plans were compared, 2-arc VMAT prostate plans had better plan quality than 1-arc VMAT plans. The volume receiving 35 Gy in the femoral head for 2-arc VMAT plans was reduced with the vector-model-supported optimization compared with the traditional manual optimization approach. Otherwise, the quality of plans from both approaches was comparable. Vector-model-supported optimization was shown to offer much shortened planning time and iteration number without compromising the plan quality.« less

A helper virus-free HSV-1 vector containing the vesicular glutamate transporter-1 promoter supports expression preferentially in VGLUT1-containing glutamatergic neurons.

PubMed

Zhang, Guo-rong; Geller, Alfred I

2010-05-17

Multiple potential uses of direct gene transfer into neurons require restricting expression to specific classes of glutamatergic neurons. Thus, it is desirable to develop vectors containing glutamatergic class-specific promoters. The three vesicular glutamate transporters (VGLUTs) are expressed in distinct populations of neurons, and VGLUT1 is the predominant VGLUT in the neocortex, hippocampus, and cerebellar cortex. We previously reported a plasmid (amplicon) Herpes Simplex Virus (HSV-1) vector that placed the Lac Z gene under the regulation of the VGLUT1 promoter (pVGLUT1lac). Using helper virus-free vector stocks, we showed that this vector supported approximately 90% glutamatergic neuron-specific expression in postrhinal (POR) cortex, in rats sacrificed at either 4 days or 2 months after gene transfer. We now show that pVGLUT1lac supports expression preferentially in VGLUT1-containing glutamatergic neurons. pVGLUT1lac vector stock was injected into either POR cortex, which contains primarily VGLUT1-containing glutamatergic neurons, or into the ventral medial hypothalamus (VMH), which contains predominantly VGLUT2-containing glutamatergic neurons. Rats were sacrificed at 4 days after gene transfer, and the types of cells expressing ss-galactosidase were determined by immunofluorescent costaining. Cell counts showed that pVGLUT1lac supported expression in approximately 10-fold more cells in POR cortex than in the VMH, whereas a control vector supported expression in similar numbers of cells in these two areas. Further, in POR cortex, pVGLUT1lac supported expression predominately in VGLUT1-containing neurons, and, in the VMH, pVGLUT1lac showed an approximately 10-fold preference for the rare VGLUT1-containing neurons. VGLUT1-specific expression may benefit specific experiments on learning or specific gene therapy approaches, particularly in the neocortex. Copyright 2010 Elsevier B.V. All rights reserved.

The Rise and Decline of U.S. Private Sector Investments in Energy R&D since the Arab Oil Embargo of 1973

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

Dooley, James J.

2010-11-01

This paper presents two distinct datasets that describe investments in energy research and development (R&D) by the US private sector since the mid1970s, which is when the US government began to systematically collect these data. The first dataset is based upon a broad survey of more than 20,000 firms’ industrial R&D activities. This broad survey of US industry is coordinated by the US National Science Foundation. The second dataset discussed here is a much narrower accounting of the energy R&D activities of the approximately two dozen largest US oil and gas companies conducted by the US Department of Energy’s Energymore » Information Agency. Even given the large disparity in the breadth and scope of these two surveys of the private sector’s support for energy R&D, both datasets tell the same story in terms of the broad outlines of the private sector’s investments in energy R&D since the mid 1970s. The broad outlines of the US private sector’s support for energy R&D since the mid 1970s is: (1) In the immediate aftermath of the Arab Oil Embargo of 1973, there is a large surge in US private sector investments in energy R&D that peaked in the period between 1980 and 1982 at approximately $3.7 billion to $6.7 billion per year (in inflation adjusted 2010 US dollars) depending upon which survey is used (2) Private sector investments in energy R&D declined from this peak until bottoming out at approximately $1.8 billion to $1 billion per year in 1999; (3) US private sector support for energy R&D has recovered somewhat over the past decade and stands at $2.2 billion to $3.4 billion. Both data sets indicate that the US private sector’s support for energy R&D has been and remains dominated by fossil energy R&D and in particular R&D related to the needs of the oil and gas industry.« less

Automatic event detection in low SNR microseismic signals based on multi-scale permutation entropy and a support vector machine

NASA Astrophysics Data System (ADS)

Jia, Rui-Sheng; Sun, Hong-Mei; Peng, Yan-Jun; Liang, Yong-Quan; Lu, Xin-Ming

2017-07-01

Microseismic monitoring is an effective means for providing early warning of rock or coal dynamical disasters, and its first step is microseismic event detection, although low SNR microseismic signals often cannot effectively be detected by routine methods. To solve this problem, this paper presents permutation entropy and a support vector machine to detect low SNR microseismic events. First, an extraction method of signal features based on multi-scale permutation entropy is proposed by studying the influence of the scale factor on the signal permutation entropy. Second, the detection model of low SNR microseismic events based on the least squares support vector machine is built by performing a multi-scale permutation entropy calculation for the collected vibration signals, constructing a feature vector set of signals. Finally, a comparative analysis of the microseismic events and noise signals in the experiment proves that the different characteristics of the two can be fully expressed by using multi-scale permutation entropy. The detection model of microseismic events combined with the support vector machine, which has the features of high classification accuracy and fast real-time algorithms, can meet the requirements of online, real-time extractions of microseismic events.

Tonomundo: A Public-Private Partnership in Education in Brazil

ERIC Educational Resources Information Center

Parente, Rafael

2013-01-01

The main obstacle for public-private partnerships in their efforts to improve educational quality in Brazil remains implementation -despite, in many cases, extensive support from government officials, educators, and private industry. The challenge of implementing such programs has received little attention from scholars and policy makers. This…

Public/Private Partnership Programs.

ERIC Educational Resources Information Center

District of Columbia Public Schools, Washington, DC.

This document presents the Public/Private Partnership Programs, a school-community project developed in 1981 by the District of Columbia public schools and the private sector community to provide career-focused high school programs. The project was designed to motivate and support young people to stay in school, graduate from high school, and…

Michigan School Privatization Survey 2008

ERIC Educational Resources Information Center

Hohman, James M.; Freeland, William L. E.

2008-01-01

Privatization of school support services is a time-tested means for lowering educational costs. The three major services that school districts in Michigan contract out for are food, custodial and transportation. The Mackinac Center for Public Policy's survey of privatization is the longest running and most comprehensive source of school support…

Management, Entrepreneurship and Private Service Orientation: A Framework for Undergraduate Veterinary Education

ERIC Educational Resources Information Center

Sasidhar, P. V. K.; Van Den Ban, Anne W.

2006-01-01

The changing nature of livestock outreach service delivery, manpower requirements and opportunities in the private sector provide both push and pull dynamics for veterinary graduates to engage in managerial, entrepreneurial, public and private service activities. The veterinary schools should support this transition by integrating Managerial,…

Public Schools, Private Markets: A Reporter's Guide to Privatization

ERIC Educational Resources Information Center

Elliott, Scott

2005-01-01

More and more, private for-profit and non-profit organizations are involved in schools. No longer limited to support services like transportation and food services, companies are providing tutoring, directing classroom instruction and managing public and charter schools. School reform has raised the stakes for schools and students, asking for…

Private-Sector Coalitions and State-Level Education Reform. Policy Bulletin.

ERIC Educational Resources Information Center

Hamrick, Flo

The influence of the private sector on education has been and continues to be significant. The use of scientific management in education, which led to standardized testing, accountability, and educational administration, came from the private sector. In recent times, many businesses have formed charitable and professional support partnerships with…

Private Training Providers: Their Characteristics and Training Activities. Support Document

ERIC Educational Resources Information Center

Harris, Roger; Simons, Michele; McCarthy, Carmel

2006-01-01

This document was produced by the authors based on their research for the report, "Private Training Providers: Their Characteristics and Training Activities," [ED495181] and is an added resource for further information. That study examined the nature of the training activity of private registered training organisations (RTOs) offered to…

Private Schools, Choice and The Ethical Environment

ERIC Educational Resources Information Center

Exley, Sonia; Suissa, Judith

2013-01-01

In this paper, we consider the relationship between the existence of private schools and public attitudes towards questions about educational provision. Data from the 2010 British Social Attitudes survey suggest that parents who choose to send children to private schools may become more entrenched in their support for more extensive forms of…

Michigan School Privatization Survey 2016. A Mackinac Center Report

ERIC Educational Resources Information Center

Hohman, James M.; Cammenga, Janelle

2016-01-01

Public school districts are government entities, but they rely on the private sector to support their function of delivering educational services to students. Private contractors, for example, construct district buildings, write textbooks and manufacture the supplies necessary to keep the district operational, among other things. And over the past…

Microgeographic and temporal genetic variation in populations of the bluetongue virus vector Culicoides variipennis (Diptera: Ceratopogonidae).

PubMed

Tabachnick, W J

1992-05-01

Seven Colorado populations of the bluetongue virus vector Culicoides varipennis (Coquillett) were analyzed for genetic variation at 19-21 isozyme loci. Permanent populations, which overwinter as larvae, showed little temporal genetic change at 19 loci. PGD and MDH showed seasonal changes in gene frequencies, attributable to selection at two permanent populations. Two temporary populations showed low heterozygosity compared with permanent populations. Independent estimates of gene flow, calculated using FST and the private allele method, were Nm* = 2.15 and 6.95, respectively. Colorado C. variipennis permanent populations showed high levels of gene flow which prevented significant genetic differentiation due to genetic drift. Temporary populations showed significant gene frequency differences from nearby permanent populations due to the "founder effect" associated with chance colonization.

A hybrid approach to select features and classify diseases based on medical data

NASA Astrophysics Data System (ADS)

AbdelLatif, Hisham; Luo, Jiawei

2018-03-01

Feature selection is popular problem in the classification of diseases in clinical medicine. Here, we developing a hybrid methodology to classify diseases, based on three medical datasets, Arrhythmia, Breast cancer, and Hepatitis datasets. This methodology called k-means ANOVA Support Vector Machine (K-ANOVA-SVM) uses K-means cluster with ANOVA statistical to preprocessing data and selection the significant features, and Support Vector Machines in the classification process. To compare and evaluate the performance, we choice three classification algorithms, decision tree Naïve Bayes, Support Vector Machines and applied the medical datasets direct to these algorithms. Our methodology was a much better classification accuracy is given of 98% in Arrhythmia datasets, 92% in Breast cancer datasets and 88% in Hepatitis datasets, Compare to use the medical data directly with decision tree Naïve Bayes, and Support Vector Machines. Also, the ROC curve and precision with (K-ANOVA-SVM) Achieved best results than other algorithms

Alpharetroviral Self-inactivating Vectors: Long-term Transgene Expression in Murine Hematopoietic Cells and Low Genotoxicity

PubMed Central

Suerth, Julia D; Maetzig, Tobias; Brugman, Martijn H; Heinz, Niels; Appelt, Jens-Uwe; Kaufmann, Kerstin B; Schmidt, Manfred; Grez, Manuel; Modlich, Ute; Baum, Christopher; Schambach, Axel

2012-01-01

Comparative integrome analyses have highlighted alpharetroviral vectors with a relatively neutral, and thus favorable, integration spectrum. However, previous studies used alpharetroviral vectors harboring viral coding sequences and intact long-terminal repeats (LTRs). We recently developed self-inactivating (SIN) alpharetroviral vectors with an advanced split-packaging design. In a murine bone marrow (BM) transplantation model we now compared alpharetroviral, gammaretroviral, and lentiviral SIN vectors and showed that all vectors transduced hematopoietic stem cells (HSCs), leading to comparable, sustained multilineage transgene expression in primary and secondary transplanted mice. Alpharetroviral integrations were decreased near transcription start sites, CpG islands, and potential cancer genes compared with gammaretroviral, and decreased in genes compared with lentiviral integrations. Analyzing the transcriptome and intragenic integrations in engrafting cells, we observed stronger correlations between in-gene integration targeting and transcriptional activity for gammaretroviral and lentiviral vectors than for alpharetroviral vectors. Importantly, the relatively “extragenic” alpharetroviral integration pattern still supported long-term transgene expression upon serial transplantation. Furthermore, sensitive genotoxicity studies revealed a decreased immortalization incidence compared with gammaretroviral and lentiviral SIN vectors. We conclude that alpharetroviral SIN vectors have a favorable integration pattern which lowers the risk of insertional mutagenesis while supporting long-term transgene expression in the progeny of transplanted HSCs. PMID:22334016

Public Support for Catholic and Denominational Schools: An International Perspective.

ERIC Educational Resources Information Center

Lawton, Stephen B.

Government policy on public support for private schools in Sweden, the United States, Australia, Hong Kong, The Netherlands, France and Malta, and Canada is reviewed. In Sweden virtually all schools are government schools funded by local and national grants; only a handful of private schools exist and they receive no government funds. The United…

71 Colleges Get Total of $2.4-Billion in Private Support in 1985-86, Study Finds.

ERIC Educational Resources Information Center

Bailey, Anne Lowrey

1987-01-01

A surge in bequests and individual and corporate giving have created a 17.8% increase in private support for 71 institutions in spite of tax law changes. The trend is seen as a result of a decade of serious efforts to increase planned giving. California institutions fared best. (MSE)

Socio-economic inequity in demand for insecticide-treated nets, in-door residual house spraying, larviciding and fogging in Sudan

PubMed Central

Onwujekwe, Obinna; Malik, El-Fatih Mohamed; Mustafa, Sara Hassan; Mnzava, Abraham

2005-01-01

Background In order to optimally prioritize and use public and private budgets for equitable malaria vector control, there is a need to determine the level and determinants of consumer demand for different vector control tools. Objectives To determine the demand from people of different socio-economic groups for indoor residual house-spraying (IRHS), insecticide-treated nets (ITNs), larviciding with chemicals (LWC), and space spraying/fogging (SS) and the disease control implications of the result. Methods Ratings and levels of willingness-to-pay (WTP) for the vector control tools were determined using a random cross-sectional sample of 720 householdes drawn from two states. WTP was elicited using the bidding game. An asset-based socio-economic status (SES) index was used to explore whether WTP was related to SES of the respondents. Results IRHS received the highest proportion of highest preferred rating (41.0%) followed by ITNs (23.1%). However, ITNs had the highest mean WTP followed by IRHS, while LWC had the least. The regression analysis showed that SES was positively and statistically significantly related to WTP across the four vector control tools and that the respondents' rating of IRHS and ITNs significantly explained their levels of WTP for the two tools. Conclusion People were willing to pay for all the vector-control tools, but the demand for the vector control tools was related to the SES of the respondents. Hence, it is vital that there are public policies and financing mechanisms to ensure equitable provision and utilisation of vector control tools, as well as protecting the poor from cost-sharing arrangements. PMID:16356177

Malaria risk factors and care-seeking behaviour within the private sector among high-risk populations in Vietnam: a qualitative study.

PubMed

Chen, Ingrid; Thanh, Huong Ngo Thi; Lover, Andrew; Thao, Phung Thi; Luu, Tang Viet; Thang, Hoang Nghia; Thang, Ngo Duc; Neukom, Josselyn; Bennett, Adam

2017-10-16

Vietnam has successfully reduced malaria incidence by more than 90% over the past 10 years, and is now preparing for malaria elimination. However, the remaining malaria burden resides in individuals that are hardest to reach, in highly remote areas, where many malaria cases are treated through the informal private sector and are not reported to public health systems. This qualitative study aimed to contextualize and characterize the role of private providers, care-seeking behaviour of individuals at high risk of malaria, as well as risk factors that should be addressed through malaria elimination programmes in Vietnam. Semi-structured qualitative interviews were conducted with 11 key informants in Hanoi, 30 providers, 9 potential patients, and 11 individuals at risk of malaria in Binh Phuoc and Kon Tum provinces. Audio recorded interviews were transcribed and uploaded to Atlas TI™, themes were identified, from which programmatic implications and recommendations were synthesized. Qualitative interviews revealed that efforts for malaria elimination in Vietnam should concentrate on reaching highest-risk populations in remote areas as well their care providers, in particular private pharmacies, private clinics, and grocery stores. Among these private providers, diagnosis is currently based on symptoms, leaving unconfirmed cases that are not reported to public health surveillance systems. Among at-risk individuals, knowledge of malaria was limited, and individuals reported not taking full courses of treatment, a practice that threatens selection for drug resistance. Access to insecticide-treated hammock nets, a potentially important preventive measure for settings with outdoor biting Anopheles vectors, was also limited. Malaria elimination efforts in Vietnam can be accelerated by targeting improved treatment, diagnosis, and reporting practices to private pharmacies, private clinics, and grocery stores. Programmes should also seek to increase awareness and understanding of malaria among at-risk populations, in particular the importance of using preventive measures and adhering to complete courses of anti-malarial medicines.

Identifying saltcedar with hyperspectral data and support vector machines

USDA-ARS?s Scientific Manuscript database

Saltcedar (Tamarix spp.) are a group of dense phreatophytic shrubs and trees that are invasive to riparian areas throughout the United States. This study determined the feasibility of using hyperspectral data and a support vector machine (SVM) classifier to discriminate saltcedar from other cover t...

Successful Phenotype Improvement following Gene Therapy for Severe Hemophilia A in Privately Owned Dogs.

PubMed

Callan, Mary Beth; Haskins, Mark E; Wang, Ping; Zhou, Shangzhen; High, Katherine A; Arruda, Valder R

2016-01-01

Severe hemophilia A (HA) is an inherited bleeding disorder characterized by <1% of residual factor VIII (FVIII) clotting activity. The disease affects several mammals including dogs, and, like humans, is associated with high morbidity and mortality. In gene therapy using adeno-associated viral (AAV) vectors, the canine model has been one of the best predictors of the therapeutic dose tested in clinical trials for hemophilia B (factor IX deficiency) and other genetic diseases, such as congenital blindness. Here we report our experience with liver gene therapy with AAV-FVIII in two outbred, privately owned dogs with severe HA that resulted in sustained expression of 1-2% of normal FVIII levels and prevented 90% of expected bleeding episodes. A Thr62Met mutation in the F8 gene was identified in one dog. These data recapitulate the improvement of the disease phenotype in research animals, and in humans, with AAV liver gene therapy for hemophilia B. Our experience is a novel example of the benefits of a relevant preclinical canine model to facilitate both translational studies in humans and improved welfare of privately owned dogs.

Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data.

PubMed

Held, Elizabeth; Cape, Joshua; Tintle, Nathan

2016-01-01

Machine learning methods continue to show promise in the analysis of data from genetic association studies because of the high number of variables relative to the number of observations. However, few best practices exist for the application of these methods. We extend a recently proposed supervised machine learning approach for predicting disease risk by genotypes to be able to incorporate gene expression data and rare variants. We then apply 2 different versions of the approach (radial and linear support vector machines) to simulated data from Genetic Analysis Workshop 19 and compare performance to logistic regression. Method performance was not radically different across the 3 methods, although the linear support vector machine tended to show small gains in predictive ability relative to a radial support vector machine and logistic regression. Importantly, as the number of genes in the models was increased, even when those genes contained causal rare variants, model predictive ability showed a statistically significant decrease in performance for both the radial support vector machine and logistic regression. The linear support vector machine showed more robust performance to the inclusion of additional genes. Further work is needed to evaluate machine learning approaches on larger samples and to evaluate the relative improvement in model prediction from the incorporation of gene expression data.

Private Tutoring through the Internet: Globalization and "Offshoring"

ERIC Educational Resources Information Center

Ventura, Alexandre; Jang, Sunhwa

2010-01-01

The private tutoring industry has come forward as the third great sector of education. The common sense representation about private tutoring is changing. The growing search for supplementary educational support services and the technological innovation have created a new paradigm. This paper focuses on one of the most interesting faces of this…

Diversity of Provision in Higher Education: The Role of the Private Provider

ERIC Educational Resources Information Center

Fielden, John

2013-01-01

This paper assesses the growing UK private sector in education and questions whether it is, as its supporters suggest, a valuable addition to an already diverse national system. An earlier "Perspectives" paper (Woodfield et al 2011) explored the emerging partnerships between public and private sectors. This follow-up explores the roles…

Predicting opportunities for greening and patterns of vegetation on private urban lands

Treesearch

Austin R. Troy; J. Morgan Grove; Jarlath P.M. O' Neil-Dunne; Steward T.A. Pickett; Mary L. Cadenasso

2007-01-01

This paper examines predictors of vegetative cover on private lands in Baltimore, Maryland. Using high-resolution spatial data, we generated two measures: "possible stewardship," which is the proportion of private land that does not have built structures on it and hence has the possibility of supporting vegetation, and "realized stewardship," which...

Public Money for Private Schools? Revisiting an Old Debate

ERIC Educational Resources Information Center

Axelrod, Paul

2005-01-01

Current debates on the extent, if any, to which private or independent schools should be supported by public funding, focus on the appropriate role of the state in the governance and regulation of schooling, with proponents on the ideological right and left reaching very different conclusions. Advocates of public funding for private schools…

Dynamics of Private Sector Support for Education: Experiences in Latin America

ERIC Educational Resources Information Center

Brady, Kristin; Galisson, Kirsten

2008-01-01

Recognizing the diversity of models and strategies for private sector participation in education that have emerged in Latin America, the United States Agency for International Development (USAID) requested the Academy for Educational Development (AED) to conduct research with leaders in the public and private sectors in several countries. While…

Private prayer among Alzheimer's caregivers: mediating burden and resiliency.

PubMed

Wilks, Scott E; Vonk, M Elizabeth

2008-01-01

This study examined whether the coping method of private prayer served as a protective factor of resiliency among a sample (N = 304) of Alzheimer's caregivers. Participants in caregiver support groups completed questionnaires that assessed a number of constructs, including caregiving burden; prayer frequency; use of private prayer as a means of coping; and perceived resiliency. The sample averaged a moderate level of burden and a great extent of prayer usage. Caregiving burden had positively affected the extent of prayer usage and negatively influenced perceived resiliency. Findings from hierarchical regression analysis showed that caregiving burden and private prayer significantly influenced variation in perceived resiliency scores. Results from a regression equation series and path analysis provided support for prayer as a mediator between burden and perceived resiliency. Implications for social work practice and education are discussed.

The development of a framework for high-quality, sustainable and accessible rural private therapy under the Australian National Disability Insurance Scheme.

PubMed

Dew, Angela; Barton, Rebecca; Ragen, Jo; Bulkeley, Kim; Iljadica, Alexandra; Chedid, Rebecca; Brentnall, Jennie; Bundy, Anita; Lincoln, Michelle; Gallego, Gisselle; Veitch, Craig

2016-12-01

The Australian National Disability Insurance Scheme (NDIS) will provide people with individual funding with which to purchase services such as therapy from private providers. This study developed a framework to support rural private therapists to meet the anticipated increase in demand. The study consisted of three stages utilizing focus groups, interviews and an online expert panel. Participants included private therapists delivering services in rural New South Wales (n = 28), disability service users (n = 9) and key representatives from a range of relevant consumer and service organizations (n = 16). We conducted a thematic analysis of focus groups and interview data and developed a draft framework which was subsequently refined based on feedback from stakeholders. The framework highlights the need for a 'rural-proofed' policy context in which service users, therapists and communities engage collaboratively in a therapy pathway. This collaborative engagement is supported by enablers, including networks, resources and processes which are influenced by the drivers of time, cost, opportunity and motivation. The framework identifies factors that will facilitate delivery of high-quality, sustainable, individualized private therapy services for people with a disability in rural Australia under the NDIS and emphasizes the need to reconceptualize the nature of private therapy service delivery. Implications for Rehabilitation Rural private therapists need upskilling to work with individuals with disability who have individual funding such as that provided by the Australian National Disability Insurance Scheme. Therapists working in rural communities need to consider alternative ways of delivering therapy to individuals with disability beyond the traditional one-on-one therapy models. Rural private therapists need support to work collaboratively with individuals with disability and the local community. Rural private therapists should harness locally available and broader networks, resources and processes to meet the needs and goals of individuals with disability.

Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed

USDA-ARS?s Scientific Manuscript database

This study evaluated linear spectral unmixing (LSU), mixture tuned matched filtering (MTMF) and support vector machine (SVM) techniques for detecting and mapping giant reed (Arundo donax L.), an invasive weed that presents a severe threat to agroecosystems and riparian areas throughout the southern ...

Support vector machines classifiers of physical activities in preschoolers

USDA-ARS?s Scientific Manuscript database

The goal of this study is to develop, test, and compare multinomial logistic regression (MLR) and support vector machines (SVM) in classifying preschool-aged children physical activity data acquired from an accelerometer. In this study, 69 children aged 3-5 years old were asked to participate in a s...

Fabric wrinkle characterization and classification using modified wavelet coefficients and optimized support-vector-machine classifier

USDA-ARS?s Scientific Manuscript database

This paper presents a novel wrinkle evaluation method that uses modified wavelet coefficients and an optimized support-vector-machine (SVM) classification scheme to characterize and classify wrinkle appearance of fabric. Fabric images were decomposed with the wavelet transform (WT), and five parame...

Comparison of Support Vector Machine, Neural Network, and CART Algorithms for the Land-Cover Classification Using Limited Training Data Points

EPA Science Inventory

Support vector machine (SVM) was applied for land-cover characterization using MODIS time-series data. Classification performance was examined with respect to training sample size, sample variability, and landscape homogeneity (purity). The results were compared to two convention...

A Case Study: Motivating and Supporting Faculty Members Who Teach Online Courses in a Private University

ERIC Educational Resources Information Center

Mann, Cristen

2013-01-01

The purpose of this qualitative case study was to explore how faculty members teaching online courses at one private university perceived the types of pedagogical training and support they needed in order to effectively facilitate online courses. Building on the theoretical foundation of andragogy, the study of adult education, this study explored…

JPRS Report, Science & Technology, Japan, Government and Private Sector Joint R&D Projects

DTIC Science & Technology

1988-08-16

is that if this system uses exogenous genes represented by the DNA that codes for hepatitis B surface antigen, polyvaccines can be produced easily...that can express in large quantities molecular clones of genetic products is awaited. Vectors using cells of higher mammals including man have been...functions of IVM and MMD using cultured spinal nerve cells with a great advantage that the same sample can be used for both electrophysiological and

The Effect of Pixel Size on the Accuracy of Orthophoto Production

NASA Astrophysics Data System (ADS)

Kulur, S.; Yildiz, F.; Selcuk, O.; Yildiz, M. A.

2016-06-01

In our country, orthophoto products are used by the public and private sectors for engineering services and infrastructure projects, Orthophotos are particularly preferred due to faster and are more economical production according to vector digital photogrammetric production. Today, digital orthophotos provide an expected accuracy for engineering and infrastructure projects. In this study, the accuracy of orthophotos using pixel sizes with different sampling intervals are tested for the expectations of engineering and infrastructure projects.

Vector-model-supported optimization in volumetric-modulated arc stereotactic radiotherapy planning for brain metastasis

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

Liu, Eva Sau Fan; Department of Health Technology and Informatics, The Hong Kong Polytechnic University; Wu, Vincent Wing Cheung

Long planning time in volumetric-modulated arc stereotactic radiotherapy (VMA-SRT) cases can limit its clinical efficiency and use. A vector model could retrieve previously successful radiotherapy cases that share various common anatomic features with the current case. The prsent study aimed to develop a vector model that could reduce planning time by applying the optimization parameters from those retrieved reference cases. Thirty-six VMA-SRT cases of brain metastasis (gender, male [n = 23], female [n = 13]; age range, 32 to 81 years old) were collected and used as a reference database. Another 10 VMA-SRT cases were planned with both conventional optimization and vector-model-supported optimization, followingmore » the oncologists' clinical dose prescriptions. Planning time and plan quality measures were compared using the 2-sided paired Wilcoxon signed rank test with a significance level of 0.05, with positive false discovery rate (pFDR) of less than 0.05. With vector-model-supported optimization, there was a significant reduction in the median planning time, a 40% reduction from 3.7 to 2.2 hours (p = 0.002, pFDR = 0.032), and for the number of iterations, a 30% reduction from 8.5 to 6.0 (p = 0.006, pFDR = 0.047). The quality of plans from both approaches was comparable. From these preliminary results, vector-model-supported optimization can expedite the optimization of VMA-SRT for brain metastasis while maintaining plan quality.« less

Public Health Responses to a Dengue Outbreak in a Fragile State: A Case Study of Nepal

PubMed Central

Griffiths, Karolina; Banjara, Megha Raj; O'Dempsey, T.; Munslow, B.; Kroeger, Axel

2013-01-01

Objectives. The number of countries reporting dengue cases is increasing worldwide. Nepal saw its first dengue outbreak in 2010, with 96% of cases reported in three districts. There are numerous policy challenges to providing an effective public health response system in a fragile state. This paper evaluates the dengue case notification, surveillance, laboratory facilities, intersectoral collaboration, and how government and community services responded to the outbreak. Methods. Qualitative data were collected through 20 in-depth interviews, with key stakeholders, and two focus-group discussions, with seven participants. Results. Limitations of case recognition included weak diagnostic facilities and private hospitals not incorporated into the case reporting system. Research on vectors was weak, with no virological surveillance. Limitations of outbreak response included poor coordination and an inadequate budget. There was good community mobilization and emergency response but no routine vector control. Conclusions. A weak state has limited response capabilities. Disease surveillance and response plans need to be country-specific and consider state response capacity and the level of endemicity. Two feasible solutions for Nepal are (1) go upwards to regional collaboration for disease and vector surveillance, laboratory assistance, and staff training; (2) go downwards to expand upon community mobilisation, ensuring that vector control is anticipatory to outbreaks. PMID:23690789

PlasmoGEM, a database supporting a community resource for large-scale experimental genetics in malaria parasites.

PubMed

Schwach, Frank; Bushell, Ellen; Gomes, Ana Rita; Anar, Burcu; Girling, Gareth; Herd, Colin; Rayner, Julian C; Billker, Oliver

2015-01-01

The Plasmodium Genetic Modification (PlasmoGEM) database (http://plasmogem.sanger.ac.uk) provides access to a resource of modular, versatile and adaptable vectors for genome modification of Plasmodium spp. parasites. PlasmoGEM currently consists of >2000 plasmids designed to modify the genome of Plasmodium berghei, a malaria parasite of rodents, which can be requested by non-profit research organisations free of charge. PlasmoGEM vectors are designed with long homology arms for efficient genome integration and carry gene specific barcodes to identify individual mutants. They can be used for a wide array of applications, including protein localisation, gene interaction studies and high-throughput genetic screens. The vector production pipeline is supported by a custom software suite that automates both the vector design process and quality control by full-length sequencing of the finished vectors. The PlasmoGEM web interface allows users to search a database of finished knock-out and gene tagging vectors, view details of their designs, download vector sequence in different formats and view available quality control data as well as suggested genotyping strategies. We also make gDNA library clones and intermediate vectors available for researchers to produce vectors for themselves. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

[Collaboration between public health nurses and the private sector].

PubMed

Marutani, Miki; Okada, Yumiko; Hasegawa, Takashi

2016-01-01

We clarified collaborations between public health nurses (PHNs) and the private sector, such as nonprofit organizations. Semi-structured interviews were conducted with 11 private sector organizations and 13 PHNs who collaborate with them between December 2012 to October 2013. Interview guides were: overall suicide preventive measurements, details of collaboration between private sector organizations and PHNs, and suicide prevention outcomes/issues. Data from private sector organizations and PHNs were separately analyzed and categories created using qualitative and inductive design. Private sector organizations' and PHNs' categories were compared and separated into core categories by similarities. Six categories were created: 1. establishing a base of mutual understanding; 2. raising public awareness of each aim/characteristic; 3. competently helping high suicidal risk persons detected during each activity; 4. guarding lives and rehabilitating livelihoods after intervention; 5. restoring suicide attempters/bereaved met in each activity; and 6. continuing/expanding activities with reciprocal cohesion/evaluation. PHNs are required to have the following suicide prevention tasks when collaborating with private sector organizations: understanding the private sector civilization, sharing PHN experiences, improving social determinants of health, meeting basic needs, supporting foundation/difficulties each other (Dear editor. Thank you for kind comments. I was going to explain that PHNs and NPOs support each other their foundation of activity and difficulties in their activities. The foundations include knowledge, information, budgets, manpower etc. The difficulties mean like suffering faced with suicide during activities.), and enhancing local governments' flexibilities/ promptness.

Why do women choose private over public facilities for family planning services? A qualitative study of post-partum women in an informal urban settlement in Kenya.

PubMed

Keesara, Sirina R; Juma, Pamela A; Harper, Cynthia C

2015-08-20

Nearly 40% of women in developing countries seek contraceptives services from the private sector. However, the reasons that contraceptive clients choose private or public providers are not well studied. We conducted six focus groups discussions and 51 in-depth interviews with postpartum women (n = 61) to explore decision-making about contraceptive use after delivery, including facility choice. When seeking contraceptive services, women in this study preferred private over public facilities due to convenience and timeliness of services. Women avoided public facilities due to long waits and disrespectful providers. Study participants reported, however, that they felt more confident about the technical medical quality in public facilities than in private, and believed that private providers prioritized profit over safe medical practice. Women reported that public facilities offered comprehensive counseling and chose these facilities when they needed contraceptive decision-support. Provision of comprehensive counseling and screening, including side effects counseling and management, determined perception of quality. Women believed private providers offered the advantages of convenience, efficiency and privacy, though they did not consistently offer high-quality care. Quality-improvement of contraceptive care at private facilities could include technical standardization and accreditation. Development of support and training for side effect management may be an important intervention to improve perceived quality of care.

The Growing Role of Private Giving in Financing the Modern University

ERIC Educational Resources Information Center

Speck, Bruce W.

2010-01-01

Increased use of private funds to support public higher education is essential, but private funding undoubtedly shapes the university in ways that challenge academic traditions, creating a new paradigm for financing the modern university. In this chapter, the author describes the three sources of funding for higher education: (1) tuition and fees;…

The Public Realities of Private Student Loans. Policy Matters: A Higher Education Policy Brief

ERIC Educational Resources Information Center

Harnisch, Thomas

2008-01-01

The use of private loans to finance college education has significantly increased in the last decade. Insufficient public financial aid support, a complex federal aid application process, aggressive marketing by private lenders, and an unwillingness by some parents to borrow under the federal PLUS program are leading students to take out what can…

Disruptive Behavior: An Empirical Evaluation of School Misconduct and Market Accountability. School Choice Issues in Depth

ERIC Educational Resources Information Center

Forster, Greg; Carr, Matthew

2007-01-01

Opponents of school choice argue that private schools are not "accountable" because they are not subject to detailed oversight by a regulatory bureaucracy. They claim private school employees can be expected to engage in abusive and criminal behavior more frequently. School choice supporters respond that parents hold private schools…

Pre-Conditions, Benefits and Costs of Privatized Public Services: Lessons from the Dutch Educational System.

ERIC Educational Resources Information Center

James, Estelle

The system in the Netherlands of "privatization," a government policy of financially supporting private schools and encouraging people to use them, depends on conditions in Dutch society that are conducive to a large nongovernment, nonprofit sector. These include cultural heterogeneity, coupled with the lack of a single dominant culture…

Public Funding and Control of Private Schools: Canadian-U.S. Comparisons.

ERIC Educational Resources Information Center

Husby, Philip J.

This paper examines the legal questions involved in public financial support and resulting public control of private schools in both Canada and the U.S. Three factors are responsible for increased public interest in private schools in recent years, the paper states: increased educational costs, concern over the concept of equal education, and…

Social and psychological barriers to private retirement savings in Hong Kong.

PubMed

Chou, Kee-Lee; Yu, Kar-Ming; Chan, Wai-Sum; Chan, Alfred C M; Lum, Terry Y S; Zhu, Alex Y F

2014-01-01

Using a phone survey conducted among Hong Kong workers, we examined the association of institutional, social, and psychological factors with engagement in both private retirement savings and the total amount of savings. Alarmingly, this study demonstrates that approximately 42% of Hong Kong workers do not save privately for their retirement. We found that age, education, number of children, support from spouse and friends, social regulation, perceived financial knowledge, and financial management capacity are associated with engagement in private retirement savings. Among those who saved, age, education, perceived financial knowledge, and financial management capacity are related to the amount of savings. Measures that could increase the social support for retirement savings as well as enhance their financial knowledge and management ability should be developed and implemented so that more workers engage in private retirement savings. A promising policy option for the Hong Kong government is to offer a tax incentive to promote additional savings for old-age income protection.

1-norm support vector novelty detection and its sparseness.

PubMed

Zhang, Li; Zhou, WeiDa

2013-12-01

This paper proposes a 1-norm support vector novelty detection (SVND) method and discusses its sparseness. 1-norm SVND is formulated as a linear programming problem and uses two techniques for inducing sparseness, or the 1-norm regularization and the hinge loss function. We also find two upper bounds on the sparseness of 1-norm SVND, or exact support vector (ESV) and kernel Gram matrix rank bounds. The ESV bound indicates that 1-norm SVND has a sparser representation model than SVND. The kernel Gram matrix rank bound can loosely estimate the sparseness of 1-norm SVND. Experimental results show that 1-norm SVND is feasible and effective. Copyright © 2013 Elsevier Ltd. All rights reserved.

ℓ(p)-Norm multikernel learning approach for stock market price forecasting.

PubMed

Shao, Xigao; Wu, Kun; Liao, Bifeng

2012-01-01

Linear multiple kernel learning model has been used for predicting financial time series. However, ℓ(1)-norm multiple support vector regression is rarely observed to outperform trivial baselines in practical applications. To allow for robust kernel mixtures that generalize well, we adopt ℓ(p)-norm multiple kernel support vector regression (1 ≤ p < ∞) as a stock price prediction model. The optimization problem is decomposed into smaller subproblems, and the interleaved optimization strategy is employed to solve the regression model. The model is evaluated on forecasting the daily stock closing prices of Shanghai Stock Index in China. Experimental results show that our proposed model performs better than ℓ(1)-norm multiple support vector regression model.

Applications of Support Vector Machine (SVM) Learning in Cancer Genomics

PubMed Central

HUANG, SHUJUN; CAI, NIANGUANG; PACHECO, PEDRO PENZUTI; NARANDES, SHAVIRA; WANG, YANG; XU, WAYNE

2017-01-01

Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of large amounts of genomic and epigenomic data, the classification feature of SVMs is expanding its use in cancer genomics, leading to the discovery of new biomarkers, new drug targets, and a better understanding of cancer driver genes. Herein we reviewed the recent progress of SVMs in cancer genomic studies. We intend to comprehend the strength of the SVM learning and its future perspective in cancer genomic applications. PMID:29275361

ClinicalTrials.gov

MedlinePlus

... Terms and Conditions Disclaimer ClinicalTrials.gov is a database of privately and publicly funded clinical studies conducted ... world. ClinicalTrials.gov is a registry and results database of publicly and privately supported clinical studies of ...

Ecological, biological and social dimensions of dengue vector breeding in five urban settings of Latin America: a multi-country study

PubMed Central

2014-01-01

Background Dengue is an increasingly important public health problem in most Latin American countries and more cost-effective ways of reducing dengue vector densities to prevent transmission are in demand by vector control programs. This multi-centre study attempted to identify key factors associated with vector breeding and development as a basis for improving targeted intervention strategies. Methods In each of 5 participant cities in Mexico, Colombia, Ecuador, Brazil and Uruguay, 20 clusters were randomly selected by grid sampling to incorporate 100 contiguous households, non-residential private buildings (businesses) and public spaces. Standardized household surveys, cluster background surveys and entomological surveys specifically targeted to obtain pupal indices for Aedes aegypti, were conducted in the dry and wet seasons. Results The study clusters included mainly urban low-middle class populations with satisfactory infrastructure and –except for Uruguay- favourable climatic conditions for dengue vector development. Household knowledge about dengue and “dengue mosquitoes” was widespread, mainly through mass media, but there was less awareness around interventions to reduce vector densities. Vector production (measured through pupal indices) was favoured when water containers were outdoor, uncovered, unused (even in Colombia and Ecuador where the large tanks used for household water storage and washing were predominantly productive) and –particularly during the dry season- rainwater filled. Larval infestation did not reflect productive container types. All productive container types, including those important in the dry season, were identified by pupal surveys executed during the rainy season. Conclusions A number of findings are relevant for improving vector control: 1) there is a need for complementing larval surveys with occasional pupal surveys (to be conducted during the wet season) for identifying and subsequently targeting productive container types; 2) the need to raise public awareness about useful and effective interventions in productive container types specific to their area; and 3) the motivation for control services that-according to this and similar studies in Asia- dedicated, targeted vector management can make a difference in terms of reducing vector abundance. PMID:24447796

Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates

USDA-ARS?s Scientific Manuscript database

Methods based on sequence data analysis facilitate the tracking of disease outbreaks, allow relationships between strains to be reconstructed and virulence factors to be identified. However, these methods are used postfactum after an outbreak has happened. Here, we show that support vector machine a...

Support vector machine incremental learning triggered by wrongly predicted samples

NASA Astrophysics Data System (ADS)

Tang, Ting-long; Guan, Qiu; Wu, Yi-rong

2018-05-01

According to the classic Karush-Kuhn-Tucker (KKT) theorem, at every step of incremental support vector machine (SVM) learning, the newly adding sample which violates the KKT conditions will be a new support vector (SV) and migrate the old samples between SV set and non-support vector (NSV) set, and at the same time the learning model should be updated based on the SVs. However, it is not exactly clear at this moment that which of the old samples would change between SVs and NSVs. Additionally, the learning model will be unnecessarily updated, which will not greatly increase its accuracy but decrease the training speed. Therefore, how to choose the new SVs from old sets during the incremental stages and when to process incremental steps will greatly influence the accuracy and efficiency of incremental SVM learning. In this work, a new algorithm is proposed to select candidate SVs and use the wrongly predicted sample to trigger the incremental processing simultaneously. Experimental results show that the proposed algorithm can achieve good performance with high efficiency, high speed and good accuracy.

Prediction of Spirometric Forced Expiratory Volume (FEV1) Data Using Support Vector Regression

NASA Astrophysics Data System (ADS)

Kavitha, A.; Sujatha, C. M.; Ramakrishnan, S.

2010-01-01

In this work, prediction of forced expiratory volume in 1 second (FEV1) in pulmonary function test is carried out using the spirometer and support vector regression analysis. Pulmonary function data are measured with flow volume spirometer from volunteers (N=175) using a standard data acquisition protocol. The acquired data are then used to predict FEV1. Support vector machines with polynomial kernel function with four different orders were employed to predict the values of FEV1. The performance is evaluated by computing the average prediction accuracy for normal and abnormal cases. Results show that support vector machines are capable of predicting FEV1 in both normal and abnormal cases and the average prediction accuracy for normal subjects was higher than that of abnormal subjects. Accuracy in prediction was found to be high for a regularization constant of C=10. Since FEV1 is the most significant parameter in the analysis of spirometric data, it appears that this method of assessment is useful in diagnosing the pulmonary abnormalities with incomplete data and data with poor recording.

Quantum Support Vector Machine for Big Data Classification

NASA Astrophysics Data System (ADS)

Rebentrost, Patrick; Mohseni, Masoud; Lloyd, Seth

2014-09-01

Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a quantum computer, with complexity logarithmic in the size of the vectors and the number of training examples. In cases where classical sampling algorithms require polynomial time, an exponential speedup is obtained. At the core of this quantum big data algorithm is a nonsparse matrix exponentiation technique for efficiently performing a matrix inversion of the training data inner-product (kernel) matrix.

Predicting complications of percutaneous coronary intervention using a novel support vector method.

PubMed

Lee, Gyemin; Gurm, Hitinder S; Syed, Zeeshan

2013-01-01

To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI). Data from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) multicenter registry for the years 2007 and 2008 (n=41 016) were used to train models to predict 13 different in-laboratory PCI complications using a novel one-plus-class support vector machine (OP-SVM) algorithm. The performance of these models in terms of discrimination and calibration was compared to the performance of models trained using the following classification algorithms on BMC2 data from 2009 (n=20 289): logistic regression (LR), one-class support vector machine classification (OC-SVM), and two-class support vector machine classification (TC-SVM). For the OP-SVM and TC-SVM approaches, variants of the algorithms with cost-sensitive weighting were also considered. The OP-SVM algorithm and its cost-sensitive variant achieved the highest area under the receiver operating characteristic curve for the majority of the PCI complications studied (eight cases). Similar improvements were observed for the Hosmer-Lemeshow χ(2) value (seven cases) and the mean cross-entropy error (eight cases). The OP-SVM algorithm based on an augmented one-class learning problem improved discrimination and calibration across different PCI complications relative to LR and traditional support vector machine classification. Such an approach may have value in a broader range of clinical domains.

Predicting complications of percutaneous coronary intervention using a novel support vector method

PubMed Central

Lee, Gyemin; Gurm, Hitinder S; Syed, Zeeshan

2013-01-01

Objective To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI). Materials and methods Data from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) multicenter registry for the years 2007 and 2008 (n=41 016) were used to train models to predict 13 different in-laboratory PCI complications using a novel one-plus-class support vector machine (OP-SVM) algorithm. The performance of these models in terms of discrimination and calibration was compared to the performance of models trained using the following classification algorithms on BMC2 data from 2009 (n=20 289): logistic regression (LR), one-class support vector machine classification (OC-SVM), and two-class support vector machine classification (TC-SVM). For the OP-SVM and TC-SVM approaches, variants of the algorithms with cost-sensitive weighting were also considered. Results The OP-SVM algorithm and its cost-sensitive variant achieved the highest area under the receiver operating characteristic curve for the majority of the PCI complications studied (eight cases). Similar improvements were observed for the Hosmer–Lemeshow χ2 value (seven cases) and the mean cross-entropy error (eight cases). Conclusions The OP-SVM algorithm based on an augmented one-class learning problem improved discrimination and calibration across different PCI complications relative to LR and traditional support vector machine classification. Such an approach may have value in a broader range of clinical domains. PMID:23599229

Private space exploration: A new way for starting a spacefaring society?

NASA Astrophysics Data System (ADS)

Genta, Giancarlo

2014-11-01

Since the beginning space was an exclusive domain of public organizations, the role of privates is becoming more and more important, and not only in commercial activities. However, the main international treaties dealing with this subject are still based on the assumption that space activities are mostly reserved to states. In the last decade the idea that the role of privates could include the management of space infrastructures and launch vehicles gained support and now private launch services are a reality. An even wider role of privates is now advocated and private exploration and exploitation missions are discussed. This requires that space activity in general can generate an attractive return and those business models are identified.

Target 88, Shaping the Future. Development Report for 1986-1987. Development Plans for 1987-1988. Annual Development Conference Proceedings (Pittsburg, Kansas, August 19, 1987).

ERIC Educational Resources Information Center

Pittsburg State Univ., KS.

Proceedings of the 1987 Development Conference of Pittsburg State University, Kansas, are presented. The conference reported on the private support program for fiscal year (FY) 1986-1987 and evaluated national development trends and comparisons with peer institutions. Goals of the private support program for 1987-1988 were also reviewed. Contents…

The geography of private forests that support at-risk species in the conterminous United States

Treesearch

Marcos D. Robles; Curtis H. Flather; Mark D. Nelson; Andrew Cutko

2008-01-01

In this study, we present a coarse-scale, first approximation of the geographic areas where privately owned forests support at-risk species in the conterminous United States. At-risk species are defined as those species listed under the US Endangered Species Act or with a global conservation status rank of critically imperiled, imperiled, or vulnerable. Our results...

A support vector machine approach for classification of welding defects from ultrasonic signals

NASA Astrophysics Data System (ADS)

Chen, Yuan; Ma, Hong-Wei; Zhang, Guang-Ming

2014-07-01

Defect classification is an important issue in ultrasonic non-destructive evaluation. A layered multi-class support vector machine (LMSVM) classification system, which combines multiple SVM classifiers through a layered architecture, is proposed in this paper. The proposed LMSVM classification system is applied to the classification of welding defects from ultrasonic test signals. The measured ultrasonic defect echo signals are first decomposed into wavelet coefficients by the wavelet packet transform. The energy of the wavelet coefficients at different frequency channels are used to construct the feature vectors. The bees algorithm (BA) is then used for feature selection and SVM parameter optimisation for the LMSVM classification system. The BA-based feature selection optimises the energy feature vectors. The optimised feature vectors are input to the LMSVM classification system for training and testing. Experimental results of classifying welding defects demonstrate that the proposed technique is highly robust, precise and reliable for ultrasonic defect classification.

Support vector machine based decision for mechanical fault condition monitoring in induction motor using an advanced Hilbert-Park transform.

PubMed

Ben Salem, Samira; Bacha, Khmais; Chaari, Abdelkader

2012-09-01

In this work we suggest an original fault signature based on an improved combination of Hilbert and Park transforms. Starting from this combination we can create two fault signatures: Hilbert modulus current space vector (HMCSV) and Hilbert phase current space vector (HPCSV). These two fault signatures are subsequently analysed using the classical fast Fourier transform (FFT). The effects of mechanical faults on the HMCSV and HPCSV spectrums are described, and the related frequencies are determined. The magnitudes of spectral components, relative to the studied faults (air-gap eccentricity and outer raceway ball bearing defect), are extracted in order to develop the input vector necessary for learning and testing the support vector machine with an aim of classifying automatically the various states of the induction motor. Copyright © 2012 ISA. Published by Elsevier Ltd. All rights reserved.

Water demand forecasting: review of soft computing methods.

PubMed

Ghalehkhondabi, Iman; Ardjmand, Ehsan; Young, William A; Weckman, Gary R

2017-07-01

Demand forecasting plays a vital role in resource management for governments and private companies. Considering the scarcity of water and its inherent constraints, demand management and forecasting in this domain are critically important. Several soft computing techniques have been developed over the last few decades for water demand forecasting. This study focuses on soft computing methods of water consumption forecasting published between 2005 and 2015. These methods include artificial neural networks (ANNs), fuzzy and neuro-fuzzy models, support vector machines, metaheuristics, and system dynamics. Furthermore, it was discussed that while in short-term forecasting, ANNs have been superior in many cases, but it is still very difficult to pick a single method as the overall best. According to the literature, various methods and their hybrids are applied to water demand forecasting. However, it seems soft computing has a lot more to contribute to water demand forecasting. These contribution areas include, but are not limited, to various ANN architectures, unsupervised methods, deep learning, various metaheuristics, and ensemble methods. Moreover, it is found that soft computing methods are mainly used for short-term demand forecasting.

At the Hard Edge of Change: Views from Secondary Head Teachers on a Public-Private Partnership

ERIC Educational Resources Information Center

Woods, Glenys J.; Woods, Philip A.

2005-01-01

The work presented here follows up the authors' paper, in the previous issue of this journal, which (i) explored modernizing leadership in a public-private partnership, principally from the perspective of the senior managers of a private company contracted to run school support services by a local education authority (LEA), and (ii) suggested that…

Northeastern Area State and Private Forestry At a Glance

Treesearch

Northeastern Area, State & Private Forestry USDA Forest Service

2006-01-01

The State and Private Forestry branch of the USDA Forest Service promotes sustainable management of non-Federal forest lands, which make up two-thirds of the forests in the United States. This work supports the Forest Service?s role as steward of the Nation?s forests and ensures that private forests yield public benefits. Among these benefits are clean air, drinking...

American Indians and Minnesota's Private Colleges. An Evaluation of the Minnesota Private College Research Foundation's Indian Education Project, 1971-72 -- 1974-75.

ERIC Educational Resources Information Center

Panitz, Emanuel

The Minnesota Private College Research Foundation - Indian Education Project (MPCRF-IEP) provided additional financial support for programs that were unique, developmental, and Indian in their approach to expansion of higher educational opportunities for Native American students. Funding allocated by the Project was made on a dollar for dollar…

The Relationship between Private Safety Nets and Economic Outcomes among Single Mothers

ERIC Educational Resources Information Center

Harknett, Kristen

2006-01-01

This article examines the relationship between private safety nets and economic outcomes among 2,818 low-income single mothers in three U.S. counties in the 1990s. I define private safety nets as the potential to draw upon family and friends for material or emotional support if needed. Using a combination of survey and administrative records data…

The private partners of public health: public-private alliances for public good.

PubMed

McDonnell, Sharon; Bryant, Carol; Harris, Jeff; Campbell, Marci Kramish; Lobb, Ano; Hannon, Peggy A; Cross, Jeffrey L; Gray, Barbara

2009-04-01

We sought to convey lessons learned by the Centers for Disease Control and Prevention's (CDC's) Prevention Research Centers (PRCs) about the value and challenges of private-sector alliances resulting in innovative health promotion strategies. Several PRCs based in a variety of workplace and community settings contributed. We conducted interviews with principal investigators, a literature review, and a review of case studies of private-sector alliances in a microbusiness model, a macrobusiness model, and as multiparty partnerships supporting public health research, implementation, and human resource services. Private-sector alliances provide many advantages, particularly access to specialized skills generally beyond the expertise of public health entities. These skills include manufacturing, distribution, marketing, business planning, and development. Alliances also allow ready access to employee populations. Public health entities can offer private-sector partners funding opportunities through special grants, data gathering and analysis skills, and enhanced project credibility and trust. Challenges to successful partnerships include time and resource availability and negotiating the cultural divide between public health and the private sector. Critical to success are knowledge of organizational culture, values, mission, currency, and methods of operation; an understanding of and ability to articulate the benefits of the alliance for each partner; and the ability and time to respond to unexpected changes and opportunities. Private-public health alliances are challenging, and developing them takes time and resources, but aspects of these alliances can capitalize on partners' strengths, counteract weaknesses, and build collaborations that produce better outcomes than otherwise possible. Private partners may be necessary for program initiation or success. CDC guidelines and support materials may help nurture these alliances.

Estimating Acceptability of Financial Health Incentives.

PubMed

Bigsby, Elisabeth; Seitz, Holli H; Halpern, Scott D; Volpp, Kevin; Cappella, Joseph N

2017-08-01

A growing body of evidence suggests that financial incentives can influence health behavior change, but research on the public acceptability of these programs and factors that predict public support have been limited. A representative sample of U.S. adults ( N = 526) were randomly assigned to receive an incentive program description in which the funding source of the program (public or private funding) and targeted health behavior (smoking cessation, weight loss, or colonoscopy) were manipulated. Outcome variables were attitude toward health incentives and allocation of hypothetical funding for incentive programs. Support was highest for privately funded programs. Support for incentives was also higher among ideologically liberal participants than among conservative participants. Demographics and health history differentially predicted attitude and hypothetical funding toward incentives. Incentive programs in the United States are more likely to be acceptable to the public if they are funded by private companies.

Bayesian data assimilation provides rapid decision support for vector-borne diseases.

PubMed

Jewell, Chris P; Brown, Richard G

2015-07-06

Predicting the spread of vector-borne diseases in response to incursions requires knowledge of both host and vector demographics in advance of an outbreak. Although host population data are typically available, for novel disease introductions there is a high chance of the pathogen using a vector for which data are unavailable. This presents a barrier to estimating the parameters of dynamical models representing host-vector-pathogen interaction, and hence limits their ability to provide quantitative risk forecasts. The Theileria orientalis (Ikeda) outbreak in New Zealand cattle demonstrates this problem: even though the vector has received extensive laboratory study, a high degree of uncertainty persists over its national demographic distribution. Addressing this, we develop a Bayesian data assimilation approach whereby indirect observations of vector activity inform a seasonal spatio-temporal risk surface within a stochastic epidemic model. We provide quantitative predictions for the future spread of the epidemic, quantifying uncertainty in the model parameters, case infection times and the disease status of undetected infections. Importantly, we demonstrate how our model learns sequentially as the epidemic unfolds and provide evidence for changing epidemic dynamics through time. Our approach therefore provides a significant advance in rapid decision support for novel vector-borne disease outbreaks. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

MicroArray Facility: a laboratory information management system with extended support for Nylon based technologies.

PubMed

Honoré, Paul; Granjeaud, Samuel; Tagett, Rebecca; Deraco, Stéphane; Beaudoing, Emmanuel; Rougemont, Jacques; Debono, Stéphane; Hingamp, Pascal

2006-09-20

High throughput gene expression profiling (GEP) is becoming a routine technique in life science laboratories. With experimental designs that repeatedly span thousands of genes and hundreds of samples, relying on a dedicated database infrastructure is no longer an option.GEP technology is a fast moving target, with new approaches constantly broadening the field diversity. This technology heterogeneity, compounded by the informatics complexity of GEP databases, means that software developments have so far focused on mainstream techniques, leaving less typical yet established techniques such as Nylon microarrays at best partially supported. MAF (MicroArray Facility) is the laboratory database system we have developed for managing the design, production and hybridization of spotted microarrays. Although it can support the widely used glass microarrays and oligo-chips, MAF was designed with the specific idiosyncrasies of Nylon based microarrays in mind. Notably single channel radioactive probes, microarray stripping and reuse, vector control hybridizations and spike-in controls are all natively supported by the software suite. MicroArray Facility is MIAME supportive and dynamically provides feedback on missing annotations to help users estimate effective MIAME compliance. Genomic data such as clone identifiers and gene symbols are also directly annotated by MAF software using standard public resources. The MAGE-ML data format is implemented for full data export. Journalized database operations (audit tracking), data anonymization, material traceability and user/project level confidentiality policies are also managed by MAF. MicroArray Facility is a complete data management system for microarray producers and end-users. Particular care has been devoted to adequately model Nylon based microarrays. The MAF system, developed and implemented in both private and academic environments, has proved a robust solution for shared facilities and industry service providers alike.

MicroArray Facility: a laboratory information management system with extended support for Nylon based technologies

PubMed Central

Honoré, Paul; Granjeaud, Samuel; Tagett, Rebecca; Deraco, Stéphane; Beaudoing, Emmanuel; Rougemont, Jacques; Debono, Stéphane; Hingamp, Pascal

2006-01-01

Background High throughput gene expression profiling (GEP) is becoming a routine technique in life science laboratories. With experimental designs that repeatedly span thousands of genes and hundreds of samples, relying on a dedicated database infrastructure is no longer an option. GEP technology is a fast moving target, with new approaches constantly broadening the field diversity. This technology heterogeneity, compounded by the informatics complexity of GEP databases, means that software developments have so far focused on mainstream techniques, leaving less typical yet established techniques such as Nylon microarrays at best partially supported. Results MAF (MicroArray Facility) is the laboratory database system we have developed for managing the design, production and hybridization of spotted microarrays. Although it can support the widely used glass microarrays and oligo-chips, MAF was designed with the specific idiosyncrasies of Nylon based microarrays in mind. Notably single channel radioactive probes, microarray stripping and reuse, vector control hybridizations and spike-in controls are all natively supported by the software suite. MicroArray Facility is MIAME supportive and dynamically provides feedback on missing annotations to help users estimate effective MIAME compliance. Genomic data such as clone identifiers and gene symbols are also directly annotated by MAF software using standard public resources. The MAGE-ML data format is implemented for full data export. Journalized database operations (audit tracking), data anonymization, material traceability and user/project level confidentiality policies are also managed by MAF. Conclusion MicroArray Facility is a complete data management system for microarray producers and end-users. Particular care has been devoted to adequately model Nylon based microarrays. The MAF system, developed and implemented in both private and academic environments, has proved a robust solution for shared facilities and industry service providers alike. PMID:16987406

Support Vector Machines: Relevance Feedback and Information Retrieval.

ERIC Educational Resources Information Center

Drucker, Harris; Shahrary, Behzad; Gibbon, David C.

2002-01-01

Compares support vector machines (SVMs) to Rocchio, Ide regular and Ide dec-hi algorithms in information retrieval (IR) of text documents using relevancy feedback. If the preliminary search is so poor that one has to search through many documents to find at least one relevant document, then SVM is preferred. Includes nine tables. (Contains 24…

Subpixel urban land cover estimation: comparing cubist, random forests, and support vector regression

Treesearch

Jeffrey T. Walton

2008-01-01

Three machine learning subpixel estimation methods (Cubist, Random Forests, and support vector regression) were applied to estimate urban cover. Urban forest canopy cover and impervious surface cover were estimated from Landsat-7 ETM+ imagery using a higher resolution cover map resampled to 30 m as training and reference data. Three different band combinations (...

Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.

PubMed

Huang, Shujun; Cai, Nianguang; Pacheco, Pedro Penzuti; Narrandes, Shavira; Wang, Yang; Xu, Wayne

2018-01-01

Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of large amounts of genomic and epigenomic data, the classification feature of SVMs is expanding its use in cancer genomics, leading to the discovery of new biomarkers, new drug targets, and a better understanding of cancer driver genes. Herein we reviewed the recent progress of SVMs in cancer genomic studies. We intend to comprehend the strength of the SVM learning and its future perspective in cancer genomic applications. Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Dual linear structured support vector machine tracking method via scale correlation filter

NASA Astrophysics Data System (ADS)

Li, Weisheng; Chen, Yanquan; Xiao, Bin; Feng, Chen

2018-01-01

Adaptive tracking-by-detection methods based on structured support vector machine (SVM) performed well on recent visual tracking benchmarks. However, these methods did not adopt an effective strategy of object scale estimation, which limits the overall tracking performance. We present a tracking method based on a dual linear structured support vector machine (DLSSVM) with a discriminative scale correlation filter. The collaborative tracker comprised of a DLSSVM model and a scale correlation filter obtains good results in tracking target position and scale estimation. The fast Fourier transform is applied for detection. Extensive experiments show that our tracking approach outperforms many popular top-ranking trackers. On a benchmark including 100 challenging video sequences, the average precision of the proposed method is 82.8%.

Object recognition of ladar with support vector machine

NASA Astrophysics Data System (ADS)

Sun, Jian-Feng; Li, Qi; Wang, Qi

2005-01-01

Intensity, range and Doppler images can be obtained by using laser radar. Laser radar can detect much more object information than other detecting sensor, such as passive infrared imaging and synthetic aperture radar (SAR), so it is well suited as the sensor of object recognition. Traditional method of laser radar object recognition is extracting target features, which can be influenced by noise. In this paper, a laser radar recognition method-Support Vector Machine is introduced. Support Vector Machine (SVM) is a new hotspot of recognition research after neural network. It has well performance on digital written and face recognition. Two series experiments about SVM designed for preprocessing and non-preprocessing samples are performed by real laser radar images, and the experiments results are compared.

nu-Anomica: A Fast Support Vector Based Novelty Detection Technique

NASA Technical Reports Server (NTRS)

Das, Santanu; Bhaduri, Kanishka; Oza, Nikunj C.; Srivastava, Ashok N.

2009-01-01

In this paper we propose nu-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In -Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard one-class Support Vector Machines while reducing both the training time and the test time by 5 - 20 times.

ℓ p-Norm Multikernel Learning Approach for Stock Market Price Forecasting

PubMed Central

Shao, Xigao; Wu, Kun; Liao, Bifeng

2012-01-01

Linear multiple kernel learning model has been used for predicting financial time series. However, ℓ 1-norm multiple support vector regression is rarely observed to outperform trivial baselines in practical applications. To allow for robust kernel mixtures that generalize well, we adopt ℓ p-norm multiple kernel support vector regression (1 ≤ p < ∞) as a stock price prediction model. The optimization problem is decomposed into smaller subproblems, and the interleaved optimization strategy is employed to solve the regression model. The model is evaluated on forecasting the daily stock closing prices of Shanghai Stock Index in China. Experimental results show that our proposed model performs better than ℓ 1-norm multiple support vector regression model. PMID:23365561

Support vector machine for automatic pain recognition

NASA Astrophysics Data System (ADS)

Monwar, Md Maruf; Rezaei, Siamak

2009-02-01

Facial expressions are a key index of emotion and the interpretation of such expressions of emotion is critical to everyday social functioning. In this paper, we present an efficient video analysis technique for recognition of a specific expression, pain, from human faces. We employ an automatic face detector which detects face from the stored video frame using skin color modeling technique. For pain recognition, location and shape features of the detected faces are computed. These features are then used as inputs to a support vector machine (SVM) for classification. We compare the results with neural network based and eigenimage based automatic pain recognition systems. The experiment results indicate that using support vector machine as classifier can certainly improve the performance of automatic pain recognition system.

Design of 2D time-varying vector fields.

PubMed

Chen, Guoning; Kwatra, Vivek; Wei, Li-Yi; Hansen, Charles D; Zhang, Eugene

2012-10-01

Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects.

Techniques utilized in the simulated altitude testing of a 2D-CD vectoring and reversing nozzle

NASA Technical Reports Server (NTRS)

Block, H. Bruce; Bryant, Lively; Dicus, John H.; Moore, Allan S.; Burns, Maureen E.; Solomon, Robert F.; Sheer, Irving

1988-01-01

Simulated altitude testing of a two-dimensional, convergent-divergent, thrust vectoring and reversing exhaust nozzle was accomplished. An important objective of this test was to develop test hardware and techniques to properly operate a vectoring and reversing nozzle within the confines of an altitude test facility. This report presents detailed information on the major test support systems utilized, the operational performance of the systems and the problems encountered, and test equipment improvements recommended for future tests. The most challenging support systems included the multi-axis thrust measurement system, vectored and reverse exhaust gas collection systems, and infrared temperature measurement systems used to evaluate and monitor the nozzle. The feasibility of testing a vectoring and reversing nozzle of this type in an altitude chamber was successfully demonstrated. Supporting systems performed as required. During reverser operation, engine exhaust gases were successfully captured and turned downstream. However, a small amount of exhaust gas spilled out the collector ducts' inlet openings when the reverser was opened more than 60 percent. The spillage did not affect engine or nozzle performance. The three infrared systems which viewed the nozzle through the exhaust collection system worked remarkably well considering the harsh environment.

Adenovirus Vectors Target Several Cell Subtypes of Mammalian Inner Ear In Vivo

PubMed Central

Li, Wenyan; Shen, Jun

2016-01-01

Mammalian inner ear harbors diverse cell types that are essential for hearing and balance. Adenovirus is one of the major vectors to deliver genes into the inner ear for functional studies and hair cell regeneration. To identify adenovirus vectors that target specific cell subtypes in the inner ear, we studied three adenovirus vectors, carrying a reporter gene encoding green fluorescent protein (GFP) from two vendors or with a genome editing gene Cre recombinase (Cre), by injection into postnatal days 0 (P0) and 4 (P4) mouse cochlea through scala media by cochleostomy in vivo. We found three adenovirus vectors transduced mouse inner ear cells with different specificities and expression levels, depending on the type of adenoviral vectors and the age of mice. The most frequently targeted region was the cochlear sensory epithelium, including auditory hair cells and supporting cells. Adenovirus with GFP transduced utricular supporting cells as well. This study shows that adenovirus vectors are capable of efficiently and specifically transducing different cell types in the mammalian inner ear and provides useful tools to study inner ear gene function and to evaluate gene therapy to treat hearing loss and vestibular dysfunction. PMID:28116172

Bayesian data assimilation provides rapid decision support for vector-borne diseases

PubMed Central

Jewell, Chris P.; Brown, Richard G.

2015-01-01

Predicting the spread of vector-borne diseases in response to incursions requires knowledge of both host and vector demographics in advance of an outbreak. Although host population data are typically available, for novel disease introductions there is a high chance of the pathogen using a vector for which data are unavailable. This presents a barrier to estimating the parameters of dynamical models representing host–vector–pathogen interaction, and hence limits their ability to provide quantitative risk forecasts. The Theileria orientalis (Ikeda) outbreak in New Zealand cattle demonstrates this problem: even though the vector has received extensive laboratory study, a high degree of uncertainty persists over its national demographic distribution. Addressing this, we develop a Bayesian data assimilation approach whereby indirect observations of vector activity inform a seasonal spatio-temporal risk surface within a stochastic epidemic model. We provide quantitative predictions for the future spread of the epidemic, quantifying uncertainty in the model parameters, case infection times and the disease status of undetected infections. Importantly, we demonstrate how our model learns sequentially as the epidemic unfolds and provide evidence for changing epidemic dynamics through time. Our approach therefore provides a significant advance in rapid decision support for novel vector-borne disease outbreaks. PMID:26136225

Public-private partnership from theory to practice: Walgreens and the Boston Public Health Commission supporting each other before and after the Boston bombings.

PubMed

Martin, Atyia; Williams, Jim

2014-01-01

This paper presents an overview of the public health and medical services continuity of operations, response and recovery efforts in the aftermath of the Boston bombings. Countless public and private organisations and agencies came together to support the community and the survivors. The efforts of these organisations define what it means to be Boston Strong.

Stable Local Volatility Calibration Using Kernel Splines

NASA Astrophysics Data System (ADS)

Coleman, Thomas F.; Li, Yuying; Wang, Cheng

2010-09-01

We propose an optimization formulation using L1 norm to ensure accuracy and stability in calibrating a local volatility function for option pricing. Using a regularization parameter, the proposed objective function balances the calibration accuracy with the model complexity. Motivated by the support vector machine learning, the unknown local volatility function is represented by a kernel function generating splines and the model complexity is controlled by minimizing the 1-norm of the kernel coefficient vector. In the context of the support vector regression for function estimation based on a finite set of observations, this corresponds to minimizing the number of support vectors for predictability. We illustrate the ability of the proposed approach to reconstruct the local volatility function in a synthetic market. In addition, based on S&P 500 market index option data, we demonstrate that the calibrated local volatility surface is simple and resembles the observed implied volatility surface in shape. Stability is illustrated by calibrating local volatility functions using market option data from different dates.

Deadly Flies, Poor Profits, and Veterinary Pharmaceuticals: Sustaining the Control of Sleeping Sickness in Uganda.

PubMed

Bardosh, Kevin Louis

2016-01-01

Efforts to control neglected tropical diseases have increasingly focused on questions of implementation. But how should we conceptualize the implementation process? Drawing on ethnographic fieldwork between 2010 and 2012, in this article I explore efforts by a small-scale public-private partnership to use private veterinarians to sustainably control zoonotic sleeping sickness in Uganda. With a fundamental tension between business incentives and vector control, I show how divergences in knowledge, power, values, and social norms shaped project implementation and community responses. Reflecting more widely on the relationships between project plans and local realities, I argue that these encounters reveal the heuristic value in approaching global health interventions as evolving 'social experiments.' This metaphor reveals the uncertainty inherent to dominant narratives and models, the role of available expertise in defining the limits of action, and the need for continuous adaption to synchronize with emergent social and institutional topographies.

Child support and the postdivorce economic well-being of mothers, fathers, and children.

PubMed

Bartfeld, J

2000-05-01

This article provides national estimates of the current and potential impact of private child support transfers on the economic well-being of custodial and noncustodial families following marital dissolution. Mothers and children fare dramatically worse than fathers after marital dissolution; these differences, however, would be much more pronounced in the absence of private child support. Simulations of four existing child support guidelines show that substantial increases in economic well-being among mother-custody families are possible within the structure of the existing child support system, with minimal impact on poverty among nonresident fathers. Under all of these guidelines, however, custodial-mother families would continue to fare substantially worse than nonresident fathers.

Department of Defense Recovering Warrior Task Force

DTIC Science & Technology

2014-09-02

used by RWs, which DoD must first identify, such as private sector job training, employment skills training, apprenticeships, and internships (JTEST- AI ...employment, other transition support, referrals and warm handoffs within and across sectors , and case management. Communities that are geographically remote...of Medicine76; recognition of the need for private sector participation is coalescing. We see evidence of the private sector’s readiness to embrace

Public Sector/Private Sector Interaction in Providing Information Services. Report to the NCLIS from the Public Sector/Private Sector Task Force.

ERIC Educational Resources Information Center

National Commission on Libraries and Information Science, Washington, DC.

The results of a 2-year study on the interactions between government and private sector information activities are presented in terms of principles and guidelines for federal policy to support the development and use of information resources, products, and services, and to implement the principles. Discussions address sources of conflict between…

Is Private Production of Public Services Cheaper Than Public Production? A Meta-Regression Analysis of Solid Waste and Water Services

ERIC Educational Resources Information Center

Bel, Germa; Fageda, Xavier; Warner, Mildred E.

2010-01-01

Privatization of local government services is assumed to deliver cost savings, but empirical evidence for this from around the world is mixed. We conduct a meta-regression analysis of all econometric studies examining privatization of water distribution and solid waste collection services and find no systematic support for lower costs with private…

Using structured decision making with landowners to address private forest management and parcelization: balancing multiple objectives and incorporating uncertainty

Treesearch

Paige F. B. Ferguson; Michael J. Conroy; John F. Chamblee; Jeffrey Hepinstall-Cymerman

2015-01-01

Parcelization and forest fragmentation are of concern for ecological, economic, and social reasons. Efforts to keep large, private forests intact may be supported by a decision-making process that incorporates landowners’ objectives and uncertainty. We used structured decision making (SDM) with owners of large, private forests in Macon County, North Carolina....

Reimbursement for Supportive Cancer Medications Through Private Insurance in Saskatchewan

PubMed Central

Forte, Lindy; Olson, Colleen; Atchison, Carolyn; Gesy, Kathy

2009-01-01

Background: As demand for cancer treatment grows, and newer, more expensive drugs become available, public payers in Canada are finding it increasingly difficult to fund the full range of available cancer drugs. Objective: To determine the extent of private drug coverage for supportive cancer treatments in Saskatchewan, preparatory to exploring the potential for cost-sharing. Methods: Patients who presented for chemotherapy and who provided informed consent for participation were surveyed regarding their access to private insurance. Insurers were contacted to verify patients' level of coverage for supportive cancer medications. Groups with specified types of insurance were compared statistically in terms of age, income bracket, time required to assess insurance status, and amount of deductible. Logistic regression was used to determine the effect of patients' age and income on the probability of having insurance. Results: Of 169 patients approached to participate, 156 provided consent and completed the survey. Their mean age was 58.5 years. About two-fifths of all patients (64 or 41%) were in the lowest income bracket (up to $30 000). Sixty-three (40%) of the patients had private insurance for drugs, and 36 (57%) of these plans included reimbursement for supportive cancer medications. A deductible was in effect in 31 (49%) of the plans, a copayment in 28 (44%), and a maximum payment in 8 (13%). Income over $50 000 was a significant predictor of access to drug insurance (p = 0.003), but age was not significantly related to insurance status. Conclusions: A substantial proportion of cancer patients in this study had access to private insurance for supportive cancer drugs for which reimbursement is currently provided by the Saskatchewan Cancer Agency. Cost-sharing and optimal utilization of the multipayer environment might offer a greater opportunity for public payers to cover future innovative and supportive therapies for cancer, but further study is required to determine whether a cost-sharing program would be cost-effective and in the best interest of patients. PMID:22478895

Population genetics analysis of Phlebotomus papatasi sand flies from Egypt and Jordan based on mitochondrial cytochrome b haplotypes.

PubMed

Flanley, Catherine M; Ramalho-Ortigao, Marcelo; Coutinho-Abreu, Iliano V; Mukbel, Rami; Hanafi, Hanafi A; El-Hossary, Shabaan S; Fawaz, Emad El-Din Y; Hoel, David F; Bray, Alexander W; Stayback, Gwen; Shoue, Douglas A; Kamhawi, Shaden; Karakuş, Mehmet; Jaouadi, Kaouther; Yaghoobie-Ershadi, Mohammad Reza; Krüger, Andreas; Amro, Ahmad; Kenawy, Mohamed Amin; Dokhan, Mostafa Ramadhan; Warburg, Alon; Hamarsheh, Omar; McDowell, Mary Ann

2018-03-27

Phlebotomus papatasi sand flies are major vectors of Leishmania major and phlebovirus infection in North Africa and across the Middle East to the Indian subcontinent. Population genetics is a valuable tool in understanding the level of genetic variability present in vector populations, vector competence, and the development of novel control strategies. This study investigated the genetic differentiation between P. papatasi populations in Egypt and Jordan that inhabit distinct ecotopes and compared this structure to P. papatasi populations from a broader geographical range. A 461 base pair (bp) fragment from the mtDNA cytochrome b (cyt b) gene was PCR amplified and sequenced from 116 individual female sand flies from Aswan and North Sinai, Egypt, as well as Swaimeh and Malka, Jordan. Haplotypes were identified and used to generate a median-joining network, F ST values and isolation-by-distance were also evaluated. Additional sand fly individuals from Afghanistan, Iran, Israel, Jordan, Libya, Tunisia and Turkey were included as well as previously published haplotypes to provide a geographically broad genetic variation analysis. Thirteen haplotypes displaying nine variant sites were identified from P. papatasi collected in Egypt and Jordan. No private haplotypes were identified from samples in North Sinai, Egypt, two were observed in Aswan, Egypt, four from Swaimeh, Jordan and two in Malka, Jordan. The Jordan populations clustered separately from the Egypt populations and produced more private haplotypes than those from Egypt. Pairwise F ST values fall in the range 0.024-0.648. The clustering patterns and pairwise F ST values indicate a strong differentiation between Egyptian and Jordanian populations, although this population structure is not due to isolation-by-distance. Other factors, such as environmental influences and the genetic variability in the circulating Le. major parasites, could possibly contribute to this heterogeneity. The present study aligns with previous reports in that pockets of genetic differentiation exists between populations of this widely dispersed species but, overall, the species remains relatively homogeneous.

Rocket Propulsion (RP) 21 Steering Committee Meeting - NASA Spacecraft Propulsion Update

NASA Technical Reports Server (NTRS)

Klem, Mark

2016-01-01

Lander Tech is three separate but synergistic efforts: Lunar CATALYST (Lunar Cargo Transportation and Landing by Soft Touchdown) Support U.S. industry led robotic lunar lander development via three public-private efforts. Support U.S. industry led robotic lunar lander development via three public-private partnerships. Infuse or transfer landing technologies into these public private partnerships. Advanced Exploration Systems-Automated Propellant Loading (APL) -Integrated Ground Operations. Demonstrate LH2 zero loss storage, loading and transfer operations via testing on a large scale in a relevant launch vehicle servicing environment. (KSC, GRC). Game Changing Technology-20 Kelvin -20 Watt Cryocooler Development of a Reverse Turbo-Brayton Cryocooler operating at 20 Kelvin with 20 Watts of refrigeration lift.

Relationships of work characteristics to job satisfaction, turnover intention, and burnout among doctors in the district public-private mixed health system of Bangladesh.

PubMed

Roy, Ashim; van der Weijden, Trudy; de Vries, Nanne

2017-06-20

Work design integrates work characteristics having organizational, social and job components which influence employees' welfare and also organizational goals. We investigated the effects of work characteristics and other predictors to job satisfaction, turnover intention, and burnout in doctors of the public primary, public secondary and private facilities of the district health system of Bangladesh. A quantitative study using a self-administered questionnaire containing mostly structured items was conducted among the public and private doctors with a sample size of 384 from 29 out of a total 64 districts of Bangladesh during October and November 2015. All variables including work characteristics and outcomes of interest were based on literature and measured on 5-point Likert scale. Multivariate analysis of variance, bivariate correlation, and multiple regression were the models operated through SPSS version-21. A total of 354 doctors responded. No significant differences were found between public primary and secondary level doctors on combined work characteristics and outcomes variables, which however differed significantly between the public and private doctors. Organizational support was the strongest predictor adversely affecting job satisfaction, turnover intention and burnout of both the public and private doctors; private doctors' experienced more support. The effects of health-professional politics on the public doctors were alarming. Work design of the Bangladesh's health system is in need of ample development. Doing so, improvement in organizational supports is crucial; however, other work characteristics components are also important for enhancing doctors' welfare and health system productivity.

Private religious practice, spiritual coping, social support, and health status among older Korean adult immigrants.

PubMed

Lee, Kyoung Hag; Hwang, Myung Jin

2014-01-01

This study explored the role of spiritual factors and social support on the health status of 246 older Korean adult immigrants age 65 years or older. Ordinary least squares regression results revealed that private religious practice, spiritual coping, and social support were significantly associated with improved health status. However, stressors such as the lack of English proficiency and transportation, longer residency in the United States, and financial problems were significantly associated with lower health status. Social workers need to consider providing appropriate spiritual interventions and social support programs for older Korean adult immigrants so that they may better handle their stressors and health problems.

Successful Phenotype Improvement following Gene Therapy for Severe Hemophilia A in Privately Owned Dogs

PubMed Central

Callan, Mary Beth; Haskins, Mark E.; Wang, Ping; Zhou, Shangzhen; High, Katherine A.; Arruda, Valder R.

2016-01-01

Severe hemophilia A (HA) is an inherited bleeding disorder characterized by <1% of residual factor VIII (FVIII) clotting activity. The disease affects several mammals including dogs, and, like humans, is associated with high morbidity and mortality. In gene therapy using adeno-associated viral (AAV) vectors, the canine model has been one of the best predictors of the therapeutic dose tested in clinical trials for hemophilia B (factor IX deficiency) and other genetic diseases, such as congenital blindness. Here we report our experience with liver gene therapy with AAV-FVIII in two outbred, privately owned dogs with severe HA that resulted in sustained expression of 1–2% of normal FVIII levels and prevented 90% of expected bleeding episodes. A Thr62Met mutation in the F8 gene was identified in one dog. These data recapitulate the improvement of the disease phenotype in research animals, and in humans, with AAV liver gene therapy for hemophilia B. Our experience is a novel example of the benefits of a relevant preclinical canine model to facilitate both translational studies in humans and improved welfare of privately owned dogs. PMID:27011017

Habitat Management to Reduce Human Exposure to Trypanosoma cruzi and Western Conenose Bugs (Triatoma protracta).

PubMed

Shender, Lisa; Niemela, Michael; Conrad, Patricia; Goldstein, Tracey; Mazet, Jonna

2016-09-01

Chagas disease, which manifests as cardiomyopathy and severe gastrointestinal dysfunction, is caused by Trypanosoma cruzi, a vector-borne parasite. In California, the vector Triatoma protracta frequently colonizes woodrat (Neotoma spp.) lodges, but may also invade nearby residences, feeding upon humans and creating the dual risk of bite-induced anaphylaxis and T. cruzi transmission. Our research aimed to assess T. cruzi presence in woodrats in a previously unstudied northern California area, statistically evaluate woodrat microhabitat use with respect to vegetation parameters, and provide guidance for habitat modifications to mitigate public health risks associated with Tr. protracta exposure. Blood samples from big-eared woodrats (N. macrotis) trapped on rural private properties yielded a T. cruzi prevalence of 14.3%. Microhabitat analyses suggest that modifying vegetation to reduce understory density within a 40 meter radius of human residences might minimize woodrat lodge construction within this buffer area, potentially decreasing human exposure to Tr. protracta.

Estimation of Teacher Practices Based on Text Transcripts of Teacher Speech Using a Support Vector Machine Algorithm

ERIC Educational Resources Information Center

Araya, Roberto; Plana, Francisco; Dartnell, Pablo; Soto-Andrade, Jorge; Luci, Gina; Salinas, Elena; Araya, Marylen

2012-01-01

Teacher practice is normally assessed by observers who watch classes or videos of classes. Here, we analyse an alternative strategy that uses text transcripts and a support vector machine classifier. For each one of the 710 videos of mathematics classes from the 2005 Chilean National Teacher Assessment Programme, a single 4-minute slice was…

Fund Raising and Public College Trustees.

ERIC Educational Resources Information Center

Farley, Eileen

1986-01-01

Public college trustees' responsibilities in fund raising include ensuring that private fund-raising takes place, setting policies and priorities, linking private philanthropy and public funding authorities, assuring college support of alumni and public relations activities, furthering public confidence, and giving. (MSE)

Standards of Research.

ERIC Educational Resources Information Center

Crain, Robert L.; Hawley, Willis D.

1982-01-01

Criticizes James Coleman's study, "Public and Private Schools," and points out methodological weaknesses in sampling, testing, data reliability, and statistical methods. Questions assumptions which have led to conclusions justifying federal support, especially tuition tax credits, to private schools. Raises the issue of ethical standards…

Fast support vector data descriptions for novelty detection.

PubMed

Liu, Yi-Hung; Liu, Yan-Chen; Chen, Yen-Jen

2010-08-01

Support vector data description (SVDD) has become a very attractive kernel method due to its good results in many novelty detection problems. However, the decision function of SVDD is expressed in terms of the kernel expansion, which results in a run-time complexity linear in the number of support vectors. For applications where fast real-time response is needed, how to speed up the decision function is crucial. This paper aims at dealing with the issue of reducing the testing time complexity of SVDD. A method called fast SVDD (F-SVDD) is proposed. Unlike the traditional methods which all try to compress a kernel expansion into one with fewer terms, the proposed F-SVDD directly finds the preimage of a feature vector, and then uses a simple relationship between this feature vector and the SVDD sphere center to re-express the center with a single vector. The decision function of F-SVDD contains only one kernel term, and thus the decision boundary of F-SVDD is only spherical in the original space. Hence, the run-time complexity of the F-SVDD decision function is no longer linear in the support vectors, but is a constant, no matter how large the training set size is. In this paper, we also propose a novel direct preimage-finding method, which is noniterative and involves no free parameters. The unique preimage can be obtained in real time by the proposed direct method without taking trial-and-error. For demonstration, several real-world data sets and a large-scale data set, the extended MIT face data set, are used in experiments. In addition, a practical industry example regarding liquid crystal display micro-defect inspection is also used to compare the applicability of SVDD and our proposed F-SVDD when faced with mass data input. The results are very encouraging.

Support Vector Machine-Based Endmember Extraction

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

Filippi, Anthony M; Archibald, Richard K

Introduced in this paper is the utilization of Support Vector Machines (SVMs) to automatically perform endmember extraction from hyperspectral data. The strengths of SVM are exploited to provide a fast and accurate calculated representation of high-dimensional data sets that may consist of multiple distributions. Once this representation is computed, the number of distributions can be determined without prior knowledge. For each distribution, an optimal transform can be determined that preserves informational content while reducing the data dimensionality, and hence, the computational cost. Finally, endmember extraction for the whole data set is accomplished. Results indicate that this Support Vector Machine-Based Endmembermore » Extraction (SVM-BEE) algorithm has the capability of autonomously determining endmembers from multiple clusters with computational speed and accuracy, while maintaining a robust tolerance to noise.« less

Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines

PubMed Central

2010-01-01

Background Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods have motivated the development of computational methods for predicting PPIs. As protein interactions generally occur via domains instead of the whole molecules, predicting domain-domain interaction (DDI) is an important step toward PPI prediction. Computational methods developed so far have utilized information from various sources at different levels, from primary sequences, to molecular structures, to evolutionary profiles. Results In this paper, we propose a computational method to predict DDI using support vector machines (SVMs), based on domains represented as interaction profile hidden Markov models (ipHMM) where interacting residues in domains are explicitly modeled according to the three dimensional structural information available at the Protein Data Bank (PDB). Features about the domains are extracted first as the Fisher scores derived from the ipHMM and then selected using singular value decomposition (SVD). Domain pairs are represented by concatenating their selected feature vectors, and classified by a support vector machine trained on these feature vectors. The method is tested by leave-one-out cross validation experiments with a set of interacting protein pairs adopted from the 3DID database. The prediction accuracy has shown significant improvement as compared to InterPreTS (Interaction Prediction through Tertiary Structure), an existing method for PPI prediction that also uses the sequences and complexes of known 3D structure. Conclusions We show that domain-domain interaction prediction can be significantly enhanced by exploiting information inherent in the domain profiles via feature selection based on Fisher scores, singular value decomposition and supervised learning based on support vector machines. Datasets and source code are freely available on the web at http://liao.cis.udel.edu/pub/svdsvm. Implemented in Matlab and supported on Linux and MS Windows. PMID:21034480

Quantum Private Comparison of Equality Based on Five-Particle Cluster State

NASA Astrophysics Data System (ADS)

Chang, Yan; Zhang, Wen-Bo; Zhang, Shi-Bin; Wang, Hai-Chun; Yan, Li-Li; Han, Gui-Hua; Sheng, Zhi-Wei; Huang, Yuan-Yuan; Suo, Wang; Xiong, Jin-Xin

2016-12-01

A protocol for quantum private comparison of equality (QPCE) is proposed based on five-particle cluster state with the help of a semi-honest third party (TP). In our protocol, TP is allowed to misbehave on its own but can not conspire with either of two parties. Compared with most two-user QPCE protocols, our protocol not only can compare two groups of private information (each group has two users) in one execution, but also compare just two private information. Compared with the multi-user QPCE protocol proposed, our protocol is safer with more reasonable assumptions of TP. The qubit efficiency is computed and analyzed. Our protocol can also be generalized to the case of 2N participants with one TP. The 2N-participant protocol can compare two groups (each group has N private information) in one execution or just N private information. Supported by NSFC under Grant Nos. 61402058, 61572086, the Fund for Middle and Young Academic Leaders of CUIT under Grant No. J201511, the Science and Technology Support Project of Sichuan Province of China under Grant No. 2013GZX0137, the Fund for Young Persons Project of Sichuan Province of China under Grant No. 12ZB017, and the Foundation of Cyberspace Security Key Laboratory of Sichuan Higher Education Institutions under Grant No. szjj2014-074

Force, velocity, and work: The effects of different contexts on students' understanding of vector concepts using isomorphic problems

NASA Astrophysics Data System (ADS)

Barniol, Pablo; Zavala, Genaro

2014-12-01

In this article we compare students' understanding of vector concepts in problems with no physical context, and with three mechanics contexts: force, velocity, and work. Based on our "Test of Understanding of Vectors," a multiple-choice test presented elsewhere, we designed two isomorphic shorter versions of 12 items each: a test with no physical context, and a test with mechanics contexts. For this study, we administered the items twice to students who were finishing an introductory mechanics course at a large private university in Mexico. The first time, we administered the two 12-item tests to 608 students. In the second, we only tested the items for which we had found differences in students' performances that were difficult to explain, and in this case, we asked them to show their reasoning in written form. In the first administration, we detected no significant difference between the medians obtained in the tests; however, we did identify significant differences in some of the items. For each item we analyze the type of difference found between the tests in the selection of the correct answer, the most common error on each of the tests, and the differences in the selection of incorrect answers. We also investigate the causes of the different context effects. Based on these analyses, we establish specific recommendations for the instruction of vector concepts in an introductory mechanics course. In the Supplemental Material we include both tests for other researchers studying vector learning, and for physics teachers who teach this material.

Constraining primordial vector mode from B-mode polarization

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

Saga, Shohei; Ichiki, Kiyotomo; Shiraishi, Maresuke, E-mail: saga.shohei@nagoya-u.jp, E-mail: maresuke.shiraishi@pd.infn.it, E-mail: ichiki@a.phys.nagoya-u.ac.jp

The B-mode polarization spectrum of the Cosmic Microwave Background (CMB) may be the smoking gun of not only the primordial tensor mode but also of the primordial vector mode. If there exist nonzero vector-mode metric perturbations in the early Universe, they are known to be supported by anisotropic stress fluctuations of free-streaming particles such as neutrinos, and to create characteristic signatures on both the CMB temperature, E-mode, and B-mode polarization anisotropies. We place constraints on the properties of the primordial vector mode characterized by the vector-to-scalar ratio r{sub v} and the spectral index n{sub v} of the vector-shear power spectrum,more » from the Planck and BICEP2 B-mode data. We find that, for scale-invariant initial spectra, the ΛCDM model including the vector mode fits the data better than the model including the tensor mode. The difference in χ{sup 2} between the vector and tensor models is Δχ{sup 2} = 3.294, because, on large scales the vector mode generates smaller temperature fluctuations than the tensor mode, which is preferred for the data. In contrast, the tensor mode can fit the data set equally well if we allow a significantly blue-tilted spectrum. We find that the best-fitting tensor mode has a large blue tilt and leads to an indistinct reionization bump on larger angular scales. The slightly red-tilted vector mode supported by the current data set can also create O(10{sup -22})-Gauss magnetic fields at cosmological recombination. Our constraints should motivate research that considers models of the early Universe that involve the vector mode.« less

Experiences of care by Australians with a diagnosis of borderline personality disorder

PubMed Central

McMahon, J.

2015-01-01

Accessible summary Borderline personality disorder (BPD) is a complex and challenging mental health condition for the person and service providers who support them.This paper reports on the results of a survey of 153 people with a diagnosis of BPD about their experiences of attempting to receive support in managing this mental health condition. It provides their perceptions of a range of experiences not reported in the existing literature, including general practitioner roles, urban and rural differences, public and private hospital differences, and comparison of usefulness of support across multiple support types.People with a diagnosis of BPD continue to experience significant discrimination when attempting to get their needs met within both public and private health services. Further education for nurses and other health professionals is indicated to address pervasive negative attitudes towards people with a diagnosis of BPD. Abstract There is limited understanding of the experience of seeking and receiving treatment and care by people with a diagnosis of borderline personality disorder (BPD), their perceptions of barriers to care and the quality of services they receive. This study aimed to explore these experiences from the perspective of Australians with this diagnosis. An invitation to participate in an online survey was distributed across multiple consumer and carer organizations and mental health services, by the Private Mental Health Consumer Carer Network (Australia) in 2011. Responses from 153 people with a diagnosis of BPD showed that they experience significant challenges and discrimination when attempting to get their needs met within both public and private health services, including general practice. Seeking help from hospital emergency departments during crises was particularly challenging. Metropolitan and rural differences, and gender differences, were also apparent. Community supports were perceived as inadequate to meet their needs. This study provides data on a range of experiences not reported in existing literature, including general practitioner roles, urban and rural differences, public and private hospital differences, and comparison of usefulness of support across multiple support types. Its findings can help inform better training for health professionals and better care for this population. PMID:26122817

[Care for the mentally ill in the Norwegian counties Troms and Finnmark 1891-1940].

PubMed

Fause, Ashild

2008-12-18

The article discusses care for the mentally ill, as it emerged and developed in Troms and Finnmark counties in 1891 - 1940. The main objective was to document how publicly supported private care functioned with respect to the well-being of the mentally ill and their situation. How mental illness was defined and perceived by close relatives, care providers, medical practitioners and public authorities was also assessed. Medical records written by district physicians have been central sources; other sources were records from the county council proceedings and public statistics on poverty and health. The private care arrangement was the dominant type of care for the mentally ill in the region throughout the period. This arrangement was subject to public supervision, but its functioning depended on periodic support from somatic institutions and even prisons. The study shows that private care was a well-functioning arrangement in many cases. The mentally ill were often included in the household work and daily-life practices on the farm. The private care system however displayed wide variations, as its quality depended on the care providers, district physicians and last but not least economic support from the local community.

Hydro development in Costa Rica

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

Young, C.F.

The initial foreign thrust of private power activities was quite naturally by large companies acquiring existing government-owned facilities in relatively large countries. Only recently, it seems, people have discovered that there are countries in Latin America other than Argentina, Brazil, and Mexico, and that there is interest in having the private sector construct new (and often smaller) facilities, with an increasing emphasis on renewable energy. Costa Rica passed its private power law in 1991 and has clearly been the most progressive country in Central America in promoting greenfield development of private power projects. The country has not been exempt, however,more » from the cyclical nature of the support that governments, utilities and regulatory agencies give to private power producers. The initial enthusiasm and willingness to encourage private power producers inevitably give way to requirements and procedures which impair if not thwart the initial intentions of the private power laws.« less

Curriculum Assessment Using Artificial Neural Network and Support Vector Machine Modeling Approaches: A Case Study. IR Applications. Volume 29

ERIC Educational Resources Information Center

Chen, Chau-Kuang

2010-01-01

Artificial Neural Network (ANN) and Support Vector Machine (SVM) approaches have been on the cutting edge of science and technology for pattern recognition and data classification. In the ANN model, classification accuracy can be achieved by using the feed-forward of inputs, back-propagation of errors, and the adjustment of connection weights. In…

Progressive Classification Using Support Vector Machines

NASA Technical Reports Server (NTRS)

Wagstaff, Kiri; Kocurek, Michael

2009-01-01

An algorithm for progressive classification of data, analogous to progressive rendering of images, makes it possible to compromise between speed and accuracy. This algorithm uses support vector machines (SVMs) to classify data. An SVM is a machine learning algorithm that builds a mathematical model of the desired classification concept by identifying the critical data points, called support vectors. Coarse approximations to the concept require only a few support vectors, while precise, highly accurate models require far more support vectors. Once the model has been constructed, the SVM can be applied to new observations. The cost of classifying a new observation is proportional to the number of support vectors in the model. When computational resources are limited, an SVM of the appropriate complexity can be produced. However, if the constraints are not known when the model is constructed, or if they can change over time, a method for adaptively responding to the current resource constraints is required. This capability is particularly relevant for spacecraft (or any other real-time systems) that perform onboard data analysis. The new algorithm enables the fast, interactive application of an SVM classifier to a new set of data. The classification process achieved by this algorithm is characterized as progressive because a coarse approximation to the true classification is generated rapidly and thereafter iteratively refined. The algorithm uses two SVMs: (1) a fast, approximate one and (2) slow, highly accurate one. New data are initially classified by the fast SVM, producing a baseline approximate classification. For each classified data point, the algorithm calculates a confidence index that indicates the likelihood that it was classified correctly in the first pass. Next, the data points are sorted by their confidence indices and progressively reclassified by the slower, more accurate SVM, starting with the items most likely to be incorrectly classified. The user can halt this reclassification process at any point, thereby obtaining the best possible result for a given amount of computation time. Alternatively, the results can be displayed as they are generated, providing the user with real-time feedback about the current accuracy of classification.

Automated image segmentation using support vector machines

NASA Astrophysics Data System (ADS)

Powell, Stephanie; Magnotta, Vincent A.; Andreasen, Nancy C.

2007-03-01

Neurodegenerative and neurodevelopmental diseases demonstrate problems associated with brain maturation and aging. Automated methods to delineate brain structures of interest are required to analyze large amounts of imaging data like that being collected in several on going multi-center studies. We have previously reported on using artificial neural networks (ANN) to define subcortical brain structures including the thalamus (0.88), caudate (0.85) and the putamen (0.81). In this work, apriori probability information was generated using Thirion's demons registration algorithm. The input vector consisted of apriori probability, spherical coordinates, and an iris of surrounding signal intensity values. We have applied the support vector machine (SVM) machine learning algorithm to automatically segment subcortical and cerebellar regions using the same input vector information. SVM architecture was derived from the ANN framework. Training was completed using a radial-basis function kernel with gamma equal to 5.5. Training was performed using 15,000 vectors collected from 15 training images in approximately 10 minutes. The resulting support vectors were applied to delineate 10 images not part of the training set. Relative overlap calculated for the subcortical structures was 0.87 for the thalamus, 0.84 for the caudate, 0.84 for the putamen, and 0.72 for the hippocampus. Relative overlap for the cerebellar lobes ranged from 0.76 to 0.86. The reliability of the SVM based algorithm was similar to the inter-rater reliability between manual raters and can be achieved without rater intervention.

Estimation of the contribution of private providers in tuberculosis case notification and treatment outcome in Pakistan.

PubMed

Chughtai, A A; Qadeer, E; Khan, W; Hadi, H; Memon, I A

2013-03-01

To improve involvement of the private sector in the national tuberculosis (TB) programme in Pakistan various public-private mix projects were set up between 2004 and 2009. A retrospective analysis of data was made to study 6 different public-private mix models for TB control in Pakistan and estimate the contribution of the various private providers to TB case notification and treatment outcome. The number of TB cases notified through the private sector increased significantly from 77 cases in 2004 to 37,656 in 2009. Among the models, the nongovernmental organization model made the greatest contribution to case notification (58.3%), followed by the hospital-based model (18.9%). Treatment success was highest for the district-led model (94.1%) and lowest for the hospital-based model (74.2%). The private sector made an important contribution to the national data through the various public-private mix projects. Issues of sustainability and the lack of treatment supporters are discussed as reasons for lack of success of some projects.

Health-related quality of life of medical students in a Brazilian student loan programme.

PubMed

Lins, Liliane; Carvalho, Fernando Martins; Menezes, Marta Silva; Porto-Silva, Larissa; Damasceno, Hannah

2016-08-01

This study aimed to evaluate the health-related quality of life of medical students participating in a large Brazilian government loan programme for undergraduate students in private schools.A cross-sectional study in a stratified sample of students from a private medical school in Salvador, Brazil, evaluated their health-related quality of life by using a Brazilian Portuguese version of the 36-item Short Form Health Survey questionnaire (SF-36).Students supported by the loan programme consistently presented lower mean scores in all SF-36 domains and in the physical and mental component summary scores than those who were not in the programme. Students supported by the loan programme presented systematically lower physical and mental component mean scores, after stratification by age, gender, school year, physical activity, sleepiness, headache, having a car, having a housemaid, living with family, and living in a rented house.The loan programme has enabled less wealthy undergraduate students to attend private medical schools in Brazil. However, this support is insufficient to improve students' health-related quality of life during medical school, as compared with students who do not participate in the programme. Because of a poorer health-related quality of life, students supported by the loan programme deserve special attention from private medical schools.

Socializing in an open drug scene: the relationship between access to private space and drug-related street disorder.

PubMed

Debeck, Kora; Wood, Evan; Qi, Jiezhi; Fu, Eric; McArthur, Doug; Montaner, Julio; Kerr, Thomas

2012-01-01

Limited attention has been given to the potential role that the structure of housing available to people who are entrenched in street-based drug scenes may play in influencing the amount of time injection drug users (IDU) spend on public streets. We sought to examine the relationship between time spent socializing in Vancouver's drug scene and access to private space. Using multivariate logistic regression we evaluated factors associated with socializing (three+ hours each day) in Vancouver's open drug scene among a prospective cohort of IDU. We also assessed attitudes towards relocating socializing activities if greater access to private indoor space was provided. Among our sample of 1114 IDU, 43% fit our criteria for socializing in the open drug scene. In multivariate analysis, having limited access to private space was independently associated with socializing (adjusted odds ratio: 1.80, 95% confidence interval: 1.28-2.55). In further analysis, 65% of 'socializers' reported positive attitudes towards relocating socializing if they had greater access to private space. These findings suggest that providing IDU with greater access to private indoor space may reduce one component of drug-related street disorder. Low-threshold supportive housing based on the 'housing first' model that include safeguards to manage behaviors associated with illicit drug use appear to offer important opportunities to create the types of private spaces that could support a reduction in street disorder. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Socializing in an Open Drug Scene: The relationship Between Access to Private Space and Drug-Related Street Disorder

PubMed Central

DeBeck, Kora; Wood, Evan; Qi, Jiezhi; Fu, Eric; McArthur, Doug; Montaner, Julio; Kerr, Thomas

2011-01-01

Background Limited attention has been given to the potential role that the structure of housing available to people who are entrenched in street-based drug scenes may play in influencing the amount of time injection drug users (IDU) spend on public streets. We sought to examine the relationship between time spent socializing in Vancouver's drug scene and access to private space. Methods Using multivariate logistic regression we evaluated factors associated with socializing (three+ hours each day) in Vancouver's open drug scene among a prospective cohort of IDU. We also assessed attitudes towards relocating socializing activities if greater access to private indoor space was provided. Results Among our sample of 1114 IDU, 43% fit our criteria for socializing in the open drug scene. In multivariate analysis, having limited access to private space was independently associated with socializing (adjusted odds ratio: 1.80, 95% confidence interval: 1.28 – 2.55). In further analysis, 65% of ‘socializers’ reported positive attitudes towards relocating socializing if they had greater access to private space. Conclusion These findings suggest that providing IDU with greater access to private indoor space may reduce one component of drug-related street disorder. Low-threshold supportive housing based on the ‘housing first’ model that include safeguards to manage behaviors associated with illicit drug use appear to offer important opportunities to create the types of private spaces that could support a reduction in street disorder. PMID:21764528

Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C.

PubMed

Stoean, Ruxandra; Stoean, Catalin; Lupsor, Monica; Stefanescu, Horia; Badea, Radu

2011-01-01

Hepatic fibrosis, the principal pointer to the development of a liver disease within chronic hepatitis C, can be measured through several stages. The correct evaluation of its degree, based on recent different non-invasive procedures, is of current major concern. The latest methodology for assessing it is the Fibroscan and the effect of its employment is impressive. However, the complex interaction between its stiffness indicator and the other biochemical and clinical examinations towards a respective degree of liver fibrosis is hard to be manually discovered. In this respect, the novel, well-performing evolutionary-powered support vector machines are proposed towards an automated learning of the relationship between medical attributes and fibrosis levels. The traditional support vector machines have been an often choice for addressing hepatic fibrosis, while the evolutionary option has been validated on many real-world tasks and proven flexibility and good performance. The evolutionary approach is simple and direct, resulting from the hybridization of the learning component within support vector machines and the optimization engine of evolutionary algorithms. It discovers the optimal coefficients of surfaces that separate instances of distinct classes. Apart from a detached manner of establishing the fibrosis degree for new cases, a resulting formula also offers insight upon the correspondence between the medical factors and the respective outcome. What is more, a feature selection genetic algorithm can be further embedded into the method structure, in order to dynamically concentrate search only on the most relevant attributes. The data set refers 722 patients with chronic hepatitis C infection and 24 indicators. The five possible degrees of fibrosis range from F0 (no fibrosis) to F4 (cirrhosis). Since the standard support vector machines are among the most frequently used methods in recent artificial intelligence studies for hepatic fibrosis staging, the evolutionary method is viewed in comparison to the traditional one. The multifaceted discrimination into all five degrees of fibrosis and the slightly less difficult common separation into solely three related stages are both investigated. The resulting performance proves the superiority over the standard support vector classification and the attained formula is helpful in providing an immediate calculation of the liver stage for new cases, while establishing the presence/absence and comprehending the weight of each medical factor with respect to a certain fibrosis level. The use of the evolutionary technique for fibrosis degree prediction triggers simplicity and offers a direct expression of the influence of dynamically selected indicators on the corresponding stage. Perhaps most importantly, it significantly surpasses the classical support vector machines, which are both widely used and technically sound. All these therefore confirm the promise of the new methodology towards a dependable support within the medical decision-making. Copyright © 2010 Elsevier B.V. All rights reserved.

Interpreting linear support vector machine models with heat map molecule coloring

PubMed Central

2011-01-01

Background Model-based virtual screening plays an important role in the early drug discovery stage. The outcomes of high-throughput screenings are a valuable source for machine learning algorithms to infer such models. Besides a strong performance, the interpretability of a machine learning model is a desired property to guide the optimization of a compound in later drug discovery stages. Linear support vector machines showed to have a convincing performance on large-scale data sets. The goal of this study is to present a heat map molecule coloring technique to interpret linear support vector machine models. Based on the weights of a linear model, the visualization approach colors each atom and bond of a compound according to its importance for activity. Results We evaluated our approach on a toxicity data set, a chromosome aberration data set, and the maximum unbiased validation data sets. The experiments show that our method sensibly visualizes structure-property and structure-activity relationships of a linear support vector machine model. The coloring of ligands in the binding pocket of several crystal structures of a maximum unbiased validation data set target indicates that our approach assists to determine the correct ligand orientation in the binding pocket. Additionally, the heat map coloring enables the identification of substructures important for the binding of an inhibitor. Conclusions In combination with heat map coloring, linear support vector machine models can help to guide the modification of a compound in later stages of drug discovery. Particularly substructures identified as important by our method might be a starting point for optimization of a lead compound. The heat map coloring should be considered as complementary to structure based modeling approaches. As such, it helps to get a better understanding of the binding mode of an inhibitor. PMID:21439031

Environmental tobacco smoke in homes, motor vehicles and licensed premises: community attitudes and practices.

PubMed

Walsh, Raoul A; Tzelepis, Flora; Paul, Christine L; McKenzie, Jeanie

2002-12-01

To assess community knowledge, attitudes and practices in relation to environmental tobacco smoke (ETS) especially in homes, private motor vehicles and licensed premises, and to document levels of support for further government legislation. 656 persons aged 18 years and over, a sub-sample in a computer-assisted telephone survey of 2,087 randomly selected respondents across NSW, answered 12 ETS-specific questions. The whole sample was asked demographic, smoking status and household membership questions. The overall response rate was 61.4% (consent rate 75.4%). Overall, 32.8% (95% CI 27.8-37.8) of children aged 0-4 years in the households surveyed were reported to live with at least one smoker. Agreement about ETS hazards was lowest in relation to child ear problems (31.2%) and sudden infant death syndrome (50.6%). Complete bans on smoking were reported in 69.9% of homes and 77.1% of private motor vehicles. The percentages favouring total bans in homes (p < 0.001) and private motor vehicles (p < 0.001) were significantly lower among smokers than non-smokers. Overall, 55.8% supported legislation to ban smoking in private vehicles carrying children. The majority support restrictions on smoking in non-eating areas of licensed clubs (88.7%) and hotels (84.8%). Overall, the data indicate a ban on smoking in licensed premises is likely to increase business. Smoking is banned in most NSW homes and private motor vehicles. Acceptance of ETS risks is high but there are important knowledge gaps. Considerable support exists for further government regulation of ETS. Media campaigns are likely to reinforce a public environment already receptive of the need for more government ETS restrictions.

Output-only modal parameter estimator of linear time-varying structural systems based on vector TAR model and least squares support vector machine

NASA Astrophysics Data System (ADS)

Zhou, Si-Da; Ma, Yuan-Chen; Liu, Li; Kang, Jie; Ma, Zhi-Sai; Yu, Lei

2018-01-01

Identification of time-varying modal parameters contributes to the structural health monitoring, fault detection, vibration control, etc. of the operational time-varying structural systems. However, it is a challenging task because there is not more information for the identification of the time-varying systems than that of the time-invariant systems. This paper presents a vector time-dependent autoregressive model and least squares support vector machine based modal parameter estimator for linear time-varying structural systems in case of output-only measurements. To reduce the computational cost, a Wendland's compactly supported radial basis function is used to achieve the sparsity of the Gram matrix. A Gamma-test-based non-parametric approach of selecting the regularization factor is adapted for the proposed estimator to replace the time-consuming n-fold cross validation. A series of numerical examples have illustrated the advantages of the proposed modal parameter estimator on the suppression of the overestimate and the short data. A laboratory experiment has further validated the proposed estimator.

Prediction of hourly PM2.5 using a space-time support vector regression model

NASA Astrophysics Data System (ADS)

Yang, Wentao; Deng, Min; Xu, Feng; Wang, Hang

2018-05-01

Real-time air quality prediction has been an active field of research in atmospheric environmental science. The existing methods of machine learning are widely used to predict pollutant concentrations because of their enhanced ability to handle complex non-linear relationships. However, because pollutant concentration data, as typical geospatial data, also exhibit spatial heterogeneity and spatial dependence, they may violate the assumptions of independent and identically distributed random variables in most of the machine learning methods. As a result, a space-time support vector regression model is proposed to predict hourly PM2.5 concentrations. First, to address spatial heterogeneity, spatial clustering is executed to divide the study area into several homogeneous or quasi-homogeneous subareas. To handle spatial dependence, a Gauss vector weight function is then developed to determine spatial autocorrelation variables as part of the input features. Finally, a local support vector regression model with spatial autocorrelation variables is established for each subarea. Experimental data on PM2.5 concentrations in Beijing are used to verify whether the results of the proposed model are superior to those of other methods.

Comprehensive Evaluation of Drug De-addiction Centres (DDCs) in Punjab (Northern India).

PubMed

Gupta, Vikram Kumar; Kaur, Paramjeet; Singh, Gurmeet; Bansal, Priya; Sidhu, B S

2014-03-01

Drug addiction is on the rise in Punjab,India. There are 15 DDCs which are supported by the Indian Red Cross Society. There is alleged mushrooming of private Drug De-addiction Centres (DDCs) in the smaller towns, villages and cities of Punjab. This study aimed to evaluate DDCs in Punjab. A total of 10 DDCs were included in the study and scheduled visits were made to collect data by using a pre-tested questionnaire. The duration of treatment was 1 month at the Red Cross DDCs and it was approximately 6 months at private DDCs. The staff at the private DDCs were inadequate. The major drugs which were abused by patients were Propoxyphene, Alcohol, Bhukki and Cannabis. Patients were usually referred to the DDCs either by family members (35.3%) or social workers (29.8%). About 72.5% of patients were married, 36.3% had passed 10th standard and 54.4% were employed. A majority dropped out of the DDCs due to personal reasons and lack of family support. On comparison, more patients were found to be treated at Red Cross centres (75.3%) than at private centres (65.8%). All DDCs had conducted regular sessions of individual, group and family counseling for patients. Red Cross DDCs ensured that ex-clients received follow-ups and home visits. More patients were satisfied with the services which were provided by the Red Cross DDCs. On the contrary, more patients at the private DDCs complained about harassment fromstaff personnel (p>0.05). It is recommended that all DDCs should be checked regularly, and that the private centres should be provided with additional support from the government, to help run them more efficiently.

[Public and private: insurance companies and medical care in Mexico].

PubMed

Tamez, S; Bodek, C; Eibenschutz, C

1995-01-01

During the late 70's and early 80's in Mexico, as in the rest of Latin-America, sanitary policies were directed to support the growth of the private sector of health care at the expense of the public sector. This work analyzes the evolution of the health insurance market as a part of the privatization process of health care. The analysis based on economic data, provides the political profile behind the privatization process as well as the changes in the relations between the State and the health sector. The central hypothesis is that the State promotes and supports the growth of the private market of medical care via a series of legal, fiscal and market procedures. It also discusses the State roll in the legal changes related to the national insurance activity. A comparative analysis is made about the evolution of the insurance industry in Argentina, Brazil, Chile and Mexico during the period 1986-1992, with a particular enfasis in the last country. One of the principal results is that the Premium/GNP and Premium/per capita, display a general growth in the 4 countries. This growth is faster for Mexico for each one) because the privatization process occurred only during the most recent years. For the 1984-1991 period in Mexico the direct premium as percentage of the GNP raised from 0.86% to 1.32%. If one focussed only in the insurance for health and accidents branches the rice goes form 8.84% in 1984 to 19.08% in 1991. This indicates that the insurance industry is one of the main targets of the privatization process of the health care system in Mexico. This is also shown by the State support to fast expansion of the big medical industrial complex of the country. Considering this situation in the continuity of the neoliberal model of Mexico, this will profound the inequity and inequality.

Support vector machine for the diagnosis of malignant mesothelioma

NASA Astrophysics Data System (ADS)

Ushasukhanya, S.; Nithyakalyani, A.; Sivakumar, V.

2018-04-01

Harmful mesothelioma is an illness in which threatening (malignancy) cells shape in the covering of the trunk or stomach area. Being presented to asbestos can influence the danger of threatening mesothelioma. Signs and side effects of threatening mesothelioma incorporate shortness of breath and agony under the rib confine. Tests that inspect within the trunk and belly are utilized to recognize (find) and analyse harmful mesothelioma. Certain elements influence forecast (shot of recuperation) and treatment choices. In this review, Support vector machine (SVM) classifiers were utilized for Mesothelioma sickness conclusion. SVM output is contrasted by concentrating on Mesothelioma’s sickness and findings by utilizing similar information set. The support vector machine algorithm gives 92.5% precision acquired by means of 3-overlap cross-approval. The Mesothelioma illness dataset were taken from an organization reports from Turkey.

An implementation of support vector machine on sentiment classification of movie reviews

NASA Astrophysics Data System (ADS)

Yulietha, I. M.; Faraby, S. A.; Adiwijaya; Widyaningtyas, W. C.

2018-03-01

With technological advances, all information about movie is available on the internet. If the information is processed properly, it will get the quality of the information. This research proposes to the classify sentiments on movie review documents. This research uses Support Vector Machine (SVM) method because it can classify high dimensional data in accordance with the data used in this research in the form of text. Support Vector Machine is a popular machine learning technique for text classification because it can classify by learning from a collection of documents that have been classified previously and can provide good result. Based on number of datasets, the 90-10 composition has the best result that is 85.6%. Based on SVM kernel, kernel linear with constant 1 has the best result that is 84.9%

Combined empirical mode decomposition and texture features for skin lesion classification using quadratic support vector machine.

PubMed

Wahba, Maram A; Ashour, Amira S; Napoleon, Sameh A; Abd Elnaby, Mustafa M; Guo, Yanhui

2017-12-01

Basal cell carcinoma is one of the most common malignant skin lesions. Automated lesion identification and classification using image processing techniques is highly required to reduce the diagnosis errors. In this study, a novel technique is applied to classify skin lesion images into two classes, namely the malignant Basal cell carcinoma and the benign nevus. A hybrid combination of bi-dimensional empirical mode decomposition and gray-level difference method features is proposed after hair removal. The combined features are further classified using quadratic support vector machine (Q-SVM). The proposed system has achieved outstanding performance of 100% accuracy, sensitivity and specificity compared to other support vector machine procedures as well as with different extracted features. Basal Cell Carcinoma is effectively classified using Q-SVM with the proposed combined features.

The optional selection of micro-motion feature based on Support Vector Machine

NASA Astrophysics Data System (ADS)

Li, Bo; Ren, Hongmei; Xiao, Zhi-he; Sheng, Jing

2017-11-01

Micro-motion form of target is multiple, different micro-motion forms are apt to be modulated, which makes it difficult for feature extraction and recognition. Aiming at feature extraction of cone-shaped objects with different micro-motion forms, this paper proposes the best selection method of micro-motion feature based on support vector machine. After the time-frequency distribution of radar echoes, comparing the time-frequency spectrum of objects with different micro-motion forms, features are extracted based on the differences between the instantaneous frequency variations of different micro-motions. According to the methods based on SVM (Support Vector Machine) features are extracted, then the best features are acquired. Finally, the result shows the method proposed in this paper is feasible under the test condition of certain signal-to-noise ratio(SNR).

Vaxvec: The first web-based recombinant vaccine vector database and its data analysis

PubMed Central

Deng, Shunzhou; Martin, Carly; Patil, Rasika; Zhu, Felix; Zhao, Bin; Xiang, Zuoshuang; He, Yongqun

2015-01-01

A recombinant vector vaccine uses an attenuated virus, bacterium, or parasite as the carrier to express a heterologous antigen(s). Many recombinant vaccine vectors and related vaccines have been developed and extensively investigated. To compare and better understand recombinant vectors and vaccines, we have generated Vaxvec (http://www.violinet.org/vaxvec), the first web-based database that stores various recombinant vaccine vectors and those experimentally verified vaccines that use these vectors. Vaxvec has now included 59 vaccine vectors that have been used in 196 recombinant vector vaccines against 66 pathogens and cancers. These vectors are classified to 41 viral vectors, 15 bacterial vectors, 1 parasitic vector, and 1 fungal vector. The most commonly used viral vaccine vectors are double-stranded DNA viruses, including herpesviruses, adenoviruses, and poxviruses. For example, Vaxvec includes 63 poxvirus-based recombinant vaccines for over 20 pathogens and cancers. Vaxvec collects 30 recombinant vector influenza vaccines that use 17 recombinant vectors and were experimentally tested in 7 animal models. In addition, over 60 protective antigens used in recombinant vector vaccines are annotated and analyzed. User-friendly web-interfaces are available for querying various data in Vaxvec. To support data exchange, the information of vaccine vectors, vaccines, and related information is stored in the Vaccine Ontology (VO). Vaxvec is a timely and vital source of vaccine vector database and facilitates efficient vaccine vector research and development. PMID:26403370

Outlook. Number 370

ERIC Educational Resources Information Center

Council for American Private Education, 2011

2011-01-01

Council for American Private Education (CAPE) is a coalition of national associations serving private schools K-12. "Outlook" is published monthly by CAPE. This issue contains the following articles: (1) Math Scores Continue Upward Trend; Reading Remains Flat; (2) Duncan Supports Amending BRS Provisions in Senate Bill; (3) ESEA Changes…

Flowing Valued Information and Cyber-Physical Situational Awareness

DTIC Science & Technology

2012-01-01

file type” constraints. The basic software supporting encryption and signing uses the OPENSSL software suite (the November 2009 version is...authorities for each organization can use OPENSSL software to generate their public and private keys. The MBTC does need to know the public or private

Case Study: Pennsylvania.

ERIC Educational Resources Information Center

McGuire, Edward

Financial support to college students and public and private colleges in Pennsylvania is described. The philosophy in Pennsylvania regarding the survival of private institutions is to provide money to the students, the consumers, and let them decide which institutions fit their basic needs and goals. Pennsylvania has established the Pennsylvania…

A low cost implementation of multi-parameter patient monitor using intersection kernel support vector machine classifier

NASA Astrophysics Data System (ADS)

Mohan, Dhanya; Kumar, C. Santhosh

2016-03-01

Predicting the physiological condition (normal/abnormal) of a patient is highly desirable to enhance the quality of health care. Multi-parameter patient monitors (MPMs) using heart rate, arterial blood pressure, respiration rate and oxygen saturation (S pO2) as input parameters were developed to monitor the condition of patients, with minimum human resource utilization. The Support vector machine (SVM), an advanced machine learning approach popularly used for classification and regression is used for the realization of MPMs. For making MPMs cost effective, we experiment on the hardware implementation of the MPM using support vector machine classifier. The training of the system is done using the matlab environment and the detection of the alarm/noalarm condition is implemented in hardware. We used different kernels for SVM classification and note that the best performance was obtained using intersection kernel SVM (IKSVM). The intersection kernel support vector machine classifier MPM has outperformed the best known MPM using radial basis function kernel by an absoute improvement of 2.74% in accuracy, 1.86% in sensitivity and 3.01% in specificity. The hardware model was developed based on the improved performance system using Verilog Hardware Description Language and was implemented on Altera cyclone-II development board.

On the sparseness of 1-norm support vector machines.

PubMed

Zhang, Li; Zhou, Weida

2010-04-01

There is some empirical evidence available showing that 1-norm Support Vector Machines (1-norm SVMs) have good sparseness; however, both how good sparseness 1-norm SVMs can reach and whether they have a sparser representation than that of standard SVMs are not clear. In this paper we take into account the sparseness of 1-norm SVMs. Two upper bounds on the number of nonzero coefficients in the decision function of 1-norm SVMs are presented. First, the number of nonzero coefficients in 1-norm SVMs is at most equal to the number of only the exact support vectors lying on the +1 and -1 discriminating surfaces, while that in standard SVMs is equal to the number of support vectors, which implies that 1-norm SVMs have better sparseness than that of standard SVMs. Second, the number of nonzero coefficients is at most equal to the rank of the sample matrix. A brief review of the geometry of linear programming and the primal steepest edge pricing simplex method are given, which allows us to provide the proof of the two upper bounds and evaluate their tightness by experiments. Experimental results on toy data sets and the UCI data sets illustrate our analysis. Copyright 2009 Elsevier Ltd. All rights reserved.

Weighted K-means support vector machine for cancer prediction.

PubMed

Kim, SungHwan

2016-01-01

To date, the support vector machine (SVM) has been widely applied to diverse bio-medical fields to address disease subtype identification and pathogenicity of genetic variants. In this paper, I propose the weighted K-means support vector machine (wKM-SVM) and weighted support vector machine (wSVM), for which I allow the SVM to impose weights to the loss term. Besides, I demonstrate the numerical relations between the objective function of the SVM and weights. Motivated by general ensemble techniques, which are known to improve accuracy, I directly adopt the boosting algorithm to the newly proposed weighted KM-SVM (and wSVM). For predictive performance, a range of simulation studies demonstrate that the weighted KM-SVM (and wSVM) with boosting outperforms the standard KM-SVM (and SVM) including but not limited to many popular classification rules. I applied the proposed methods to simulated data and two large-scale real applications in the TCGA pan-cancer methylation data of breast and kidney cancer. In conclusion, the weighted KM-SVM (and wSVM) increases accuracy of the classification model, and will facilitate disease diagnosis and clinical treatment decisions to benefit patients. A software package (wSVM) is publicly available at the R-project webpage (https://www.r-project.org).

A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning.

PubMed

Que, Jialan; Jiang, Xiaoqian; Ohno-Machado, Lucila

2012-01-01

A Support Vector Machine (SVM) is a popular tool for decision support. The traditional way to build an SVM model is to estimate parameters based on a centralized repository of data. However, in the field of biomedicine, patient data are sometimes stored in local repositories or institutions where they were collected, and may not be easily shared due to privacy concerns. This creates a substantial barrier for researchers to effectively learn from the distributed data using machine learning tools like SVMs. To overcome this difficulty and promote efficient information exchange without sharing sensitive raw data, we developed a Distributed Privacy Preserving Support Vector Machine (DPP-SVM). The DPP-SVM enables privacy-preserving collaborative learning, in which a trusted server integrates "privacy-insensitive" intermediary results. The globally learned model is guaranteed to be exactly the same as learned from combined data. We also provide a free web-service (http://privacy.ucsd.edu:8080/ppsvm/) for multiple participants to collaborate and complete the SVM-learning task in an efficient and privacy-preserving manner.

T-ray relevant frequencies for osteosarcoma classification

NASA Astrophysics Data System (ADS)

Withayachumnankul, W.; Ferguson, B.; Rainsford, T.; Findlay, D.; Mickan, S. P.; Abbott, D.

2006-01-01

We investigate the classification of the T-ray response of normal human bone cells and human osteosarcoma cells, grown in culture. Given the magnitude and phase responses within a reliable spectral range as features for input vectors, a trained support vector machine can correctly classify the two cell types to some extent. Performance of the support vector machine is deteriorated by the curse of dimensionality, resulting from the comparatively large number of features in the input vectors. Feature subset selection methods are used to select only an optimal number of relevant features for inputs. As a result, an improvement in generalization performance is attainable, and the selected frequencies can be used for further describing different mechanisms of the cells, responding to T-rays. We demonstrate a consistent classification accuracy of 89.6%, while the only one fifth of the original features are retained in the data set.

Blind Seer: A Scalable Private DBMS

DTIC Science & Technology

2014-05-01

searchable index terms per DB row, in time comparable to (insecure) MySQL (many practical queries can be privately executed with work 1.2-3 times slower...than MySQL , although some queries are costlier). We support a rich query set, including searching on arbitrary boolean formulas on keywords and ranges...index terms per DB row, in time comparable to (insecure) MySQL (many practical queries can be privately executed with work 1.2-3 times slower than MySQL

Community Resilience: Workshops on Private Sector and Property Owner Requirements for Recovery and Restoration from a Diasaster

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

Judd, Kathleen S.; Stein, Steven L.; Lesperance, Ann M.

2008-12-22

This report summarizes the results of a proejct sponsored by DTRA to 1) Assess the readiness of private-sector businesses, building owners, and service providers to restore property and recover operations in the aftermath of a wide-area dispersal of anthrax; and 2) Understand what private property owners and businesses "want and need" from federal, state, and local government to support recovery and restoration from such an incident.

The U.S. Army Reserve’s Private Public Partnership (P3) Program in Support of the Combatant Commander’s Security Cooperation Activities and the Readiness Opportunities for the U.S. Army Reserve

DTIC Science & Technology

2016-06-10

reserve force. One of the many innovative opportunities for soldiers, leaders, and units is the USAR’s Private Public Partnership Program (P3). This...opportunities for the reserve force. One of the many innovative opportunities for soldiers, leaders, and units is the USAR’s Private Public Partnership...21 National Strategic Direction

Quantifying the economic impact of government and charity funding of medical research on private research and development funding in the United Kingdom.

PubMed

Sussex, Jon; Feng, Yan; Mestre-Ferrandiz, Jorge; Pistollato, Michele; Hafner, Marco; Burridge, Peter; Grant, Jonathan

2016-02-24

Government- and charity-funded medical research and private sector research and development (R&D) are widely held to be complements. The only attempts to measure this complementarity so far have used data from the United States of America and are inevitably increasingly out of date. This study estimates the magnitude of the effect of government and charity biomedical and health research expenditure in the United Kingdom (UK), separately and in total, on subsequent private pharmaceutical sector R&D expenditure in the UK. The results for this study are obtained by fitting an econometric vector error correction model (VECM) to time series for biomedical and health R&D expenditure in the UK for ten disease areas (including 'other') for the government, charity and private sectors. The VECM model describes the relationship between public (i.e. government and charities combined) sector expenditure, private sector expenditure and global pharmaceutical sales as a combination of a long-term equilibrium and short-term movements. There is a statistically significant complementary relationship between public biomedical and health research expenditure and private pharmaceutical R&D expenditure. A 1% increase in public sector expenditure is associated in the best-fit model with a 0.81% increase in private sector expenditure. Sensitivity analysis produces a similar and statistically significant result with a slightly smaller positive elasticity of 0.68. Overall, every additional £1 of public research expenditure is associated with an additional £0.83-£1.07 of private sector R&D spend in the UK; 44% of that additional private sector expenditure occurs within 1 year, with the remainder accumulating over decades. This spillover effect implies a real annual rate of return (in terms of economic impact) to public biomedical and health research in the UK of 15-18%. When combined with previous estimates of the health gain that results from public medical research in cancer and cardiovascular disease, the total rate of return would be around 24-28%. Overall, this suggests that government and charity funded research in the UK crowds in additional private sector R&D in the UK. The implied historical returns from UK government and charity funded investment in medical research in the UK compare favourably with the rates of return achieved on investments in the rest of the UK economy and are greatly in excess of the 3.5% real annual rate of return required by the UK government to public investments generally.

A Program of Leadership Development.

ERIC Educational Resources Information Center

Charitat, Mac

1988-01-01

The Chevron/Mayoral Fellowship program in New Orleans is described. The program provides private funding to support 30 selected high school students each summer in internships in city government agencies. Evaluation after three years has been positive and demonstrate the potential of a governmental/public/private educational program. (DB)

Recombinase-Mediated Cassette Exchange Using Adenoviral Vectors.

PubMed

Kolb, Andreas F; Knowles, Christopher; Pultinevicius, Patrikas; Harbottle, Jennifer A; Petrie, Linda; Robinson, Claire; Sorrell, David A

2017-01-01

Site-specific recombinases are important tools for the modification of mammalian genomes. In conjunction with viral vectors, they can be utilized to mediate site-specific gene insertions in animals and in cell lines which are difficult to transfect. Here we describe a method for the generation and analysis of an adenovirus vector supporting a recombinase-mediated cassette exchange reaction and discuss the advantages and limitations of this approach.

Economic Evaluation of Environmental Health Interventions to Support Decision Making

PubMed Central

Hutton, Guy

2008-01-01

Environmental burden of disease represents one quarter of overall disease burden, hence necessitating greater attention from decision makers both inside and outside the health sector. Economic evaluation techniques such as cost-effectiveness analysis and cost-benefit analysis provide key information to health decision makers on the efficiency of environmental health interventions, assisting them in choosing interventions which give the greatest social return on limited public budgets and private resources. The aim of this article is to review economic evaluation studies in three environmental health areas—water, sanitation, hygiene (WSH), vector control, and air pollution—and to critically examine the policy relevance and scientific quality of the studies for selecting and funding public programmers. A keyword search of Medline from 1990–2008 revealed 32 studies, and gathering of articles from other sources revealed a further 18 studies, giving a total of 50 economic evaluation studies (13 WSH interventions, 16 vector control and 21 air pollution). Overall, the economic evidence base on environmental health interventions remains relatively weak—too few studies per intervention, of variable scientific quality and from diverse locations which limits generalisability of findings. Importantly, there still exists a disconnect between economic research, decision making and programmer implementation. This can be explained by the lack of translation of research findings into accessible documentation for policy makers and limited relevance of research findings, and the often low importance of economic evidence in budgeting decisions. These findings underline the importance of involving policy makers in the defining of research agendas and commissioning of research, and improving the awareness of researchers of the policy environment into which their research feeds. PMID:21572840

Vaxvec: The first web-based recombinant vaccine vector database and its data analysis.

PubMed

Deng, Shunzhou; Martin, Carly; Patil, Rasika; Zhu, Felix; Zhao, Bin; Xiang, Zuoshuang; He, Yongqun

2015-11-27

A recombinant vector vaccine uses an attenuated virus, bacterium, or parasite as the carrier to express a heterologous antigen(s). Many recombinant vaccine vectors and related vaccines have been developed and extensively investigated. To compare and better understand recombinant vectors and vaccines, we have generated Vaxvec (http://www.violinet.org/vaxvec), the first web-based database that stores various recombinant vaccine vectors and those experimentally verified vaccines that use these vectors. Vaxvec has now included 59 vaccine vectors that have been used in 196 recombinant vector vaccines against 66 pathogens and cancers. These vectors are classified to 41 viral vectors, 15 bacterial vectors, 1 parasitic vector, and 1 fungal vector. The most commonly used viral vaccine vectors are double-stranded DNA viruses, including herpesviruses, adenoviruses, and poxviruses. For example, Vaxvec includes 63 poxvirus-based recombinant vaccines for over 20 pathogens and cancers. Vaxvec collects 30 recombinant vector influenza vaccines that use 17 recombinant vectors and were experimentally tested in 7 animal models. In addition, over 60 protective antigens used in recombinant vector vaccines are annotated and analyzed. User-friendly web-interfaces are available for querying various data in Vaxvec. To support data exchange, the information of vaccine vectors, vaccines, and related information is stored in the Vaccine Ontology (VO). Vaxvec is a timely and vital source of vaccine vector database and facilitates efficient vaccine vector research and development. Copyright © 2015 Elsevier Ltd. All rights reserved.

Fuzzy support vector machines for adaptive Morse code recognition.

PubMed

Yang, Cheng-Hong; Jin, Li-Cheng; Chuang, Li-Yeh

2006-11-01

Morse code is now being harnessed for use in rehabilitation applications of augmentative-alternative communication and assistive technology, facilitating mobility, environmental control and adapted worksite access. In this paper, Morse code is selected as a communication adaptive device for persons who suffer from muscle atrophy, cerebral palsy or other severe handicaps. A stable typing rate is strictly required for Morse code to be effective as a communication tool. Therefore, an adaptive automatic recognition method with a high recognition rate is needed. The proposed system uses both fuzzy support vector machines and the variable-degree variable-step-size least-mean-square algorithm to achieve these objectives. We apply fuzzy memberships to each point, and provide different contributions to the decision learning function for support vector machines. Statistical analyses demonstrated that the proposed method elicited a higher recognition rate than other algorithms in the literature.

A novel representation for apoptosis protein subcellular localization prediction using support vector machine.

PubMed

Zhang, Li; Liao, Bo; Li, Dachao; Zhu, Wen

2009-07-21

Apoptosis, or programmed cell death, plays an important role in development of an organism. Obtaining information on subcellular location of apoptosis proteins is very helpful to understand the apoptosis mechanism. In this paper, based on the concept that the position distribution information of amino acids is closely related with the structure and function of proteins, we introduce the concept of distance frequency [Matsuda, S., Vert, J.P., Ueda, N., Toh, H., Akutsu, T., 2005. A novel representation of protein sequences for prediction of subcellular location using support vector machines. Protein Sci. 14, 2804-2813] and propose a novel way to calculate distance frequencies. In order to calculate the local features, each protein sequence is separated into p parts with the same length in our paper. Then we use the novel representation of protein sequences and adopt support vector machine to predict subcellular location. The overall prediction accuracy is significantly improved by jackknife test.

Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system

NASA Astrophysics Data System (ADS)

Wu, Qi

2010-03-01

Demand forecasts play a crucial role in supply chain management. The future demand for a certain product is the basis for the respective replenishment systems. Aiming at demand series with small samples, seasonal character, nonlinearity, randomicity and fuzziness, the existing support vector kernel does not approach the random curve of the sales time series in the space (quadratic continuous integral space). In this paper, we present a hybrid intelligent system combining the wavelet kernel support vector machine and particle swarm optimization for demand forecasting. The results of application in car sale series forecasting show that the forecasting approach based on the hybrid PSOWv-SVM model is effective and feasible, the comparison between the method proposed in this paper and other ones is also given, which proves that this method is, for the discussed example, better than hybrid PSOv-SVM and other traditional methods.

Evaluation and recognition of skin images with aging by support vector machine

NASA Astrophysics Data System (ADS)

Hu, Liangjun; Wu, Shulian; Li, Hui

2016-10-01

Aging is a very important issue not only in dermatology, but also cosmetic science. Cutaneous aging involves both chronological and photoaging aging process. The evaluation and classification of aging is an important issue with the medical cosmetology workers nowadays. The purpose of this study is to assess chronological-age-related and photo-age-related of human skin. The texture features of skin surface skin, such as coarseness, contrast were analyzed by Fourier transform and Tamura. And the aim of it is to detect the object hidden in the skin texture in difference aging skin. Then, Support vector machine was applied to train the texture feature. The different age's states were distinguished by the support vector machine (SVM) classifier. The results help us to further understand the mechanism of different aging skin from texture feature and help us to distinguish the different aging states.

Scattering transform and LSPTSVM based fault diagnosis of rotating machinery

NASA Astrophysics Data System (ADS)

Ma, Shangjun; Cheng, Bo; Shang, Zhaowei; Liu, Geng

2018-05-01

This paper proposes an algorithm for fault diagnosis of rotating machinery to overcome the shortcomings of classical techniques which are noise sensitive in feature extraction and time consuming for training. Based on the scattering transform and the least squares recursive projection twin support vector machine (LSPTSVM), the method has the advantages of high efficiency and insensitivity for noise signal. Using the energy of the scattering coefficients in each sub-band, the features of the vibration signals are obtained. Then, an LSPTSVM classifier is used for fault diagnosis. The new method is compared with other common methods including the proximal support vector machine, the standard support vector machine and multi-scale theory by using fault data for two systems, a motor bearing and a gear box. The results show that the new method proposed in this study is more effective for fault diagnosis of rotating machinery.

Classification of Stellar Spectra with Fuzzy Minimum Within-Class Support Vector Machine

NASA Astrophysics Data System (ADS)

Zhong-bao, Liu; Wen-ai, Song; Jing, Zhang; Wen-juan, Zhao

2017-06-01

Classification is one of the important tasks in astronomy, especially in spectra analysis. Support Vector Machine (SVM) is a typical classification method, which is widely used in spectra classification. Although it performs well in practice, its classification accuracies can not be greatly improved because of two limitations. One is it does not take the distribution of the classes into consideration. The other is it is sensitive to noise. In order to solve the above problems, inspired by the maximization of the Fisher's Discriminant Analysis (FDA) and the SVM separability constraints, fuzzy minimum within-class support vector machine (FMWSVM) is proposed in this paper. In FMWSVM, the distribution of the classes is reflected by the within-class scatter in FDA and the fuzzy membership function is introduced to decrease the influence of the noise. The comparative experiments with SVM on the SDSS datasets verify the effectiveness of the proposed classifier FMWSVM.

Geographical traceability of Marsdenia tenacissima by Fourier transform infrared spectroscopy and chemometrics

NASA Astrophysics Data System (ADS)

Li, Chao; Yang, Sheng-Chao; Guo, Qiao-Sheng; Zheng, Kai-Yan; Wang, Ping-Li; Meng, Zhen-Gui

2016-01-01

A combination of Fourier transform infrared spectroscopy with chemometrics tools provided an approach for studying Marsdenia tenacissima according to its geographical origin. A total of 128 M. tenacissima samples from four provinces in China were analyzed with FTIR spectroscopy. Six pattern recognition methods were used to construct the discrimination models: support vector machine-genetic algorithms, support vector machine-particle swarm optimization, K-nearest neighbors, radial basis function neural network, random forest and support vector machine-grid search. Experimental results showed that K-nearest neighbors was superior to other mathematical algorithms after data were preprocessed with wavelet de-noising, with a discrimination rate of 100% in both the training and prediction sets. This study demonstrated that FTIR spectroscopy coupled with K-nearest neighbors could be successfully applied to determine the geographical origins of M. tenacissima samples, thereby providing reliable authentication in a rapid, cheap and noninvasive way.

Types of homes and ways of life: a territorial analysis of the environmental determinants that factor into the proliferation of malaria vectors in the rural region of Allada in Benin.

PubMed

Lysaniuk, Benjamin; Ladsous, Roman; Tabeaud, Martine; Cottrell, Gilles; Pennetier, Cédric; Garcia, André

2015-01-01

Anthropogenic factors, as well as environmental factors, can explain fine-scale spatial differences in vector densities and seasonal variations in malaria. In this pilot study, numbers of Anopheles gambiae were quantified in concessions in a rural area of southern Benin, West Africa, in order to establish whether vector number and human factors, such as habitat and living practices, are related. The courtyard homes of 64 concessions (houses and private yards) were systematically and similarly photographed. Predefined features in the photographed items were extracted by applying an analysis grid that listed vector resting sites or potential breeding sites and also more general information about the building materials used. These data were analysed with respect to entomological data (number of mosquitoes caught per night) using the Kruskal-Wallis test, Pearson correlation coefficients, and analysis of covariance (ANCOVA). Three recurrent habitat/household types and living practices were identified that corresponded to different standards of living. These were related to the average number of mosquitoes captured per night: type I=0.88 anopheles/night; type II=0.85; and type III 0.55, but this was not statistically significant (Kruskal-Wallis test; p=0.41). There were no significant relationships between the number of potential breeding sites and number of mosquitoes caught (Pearson's correlation coefficient=-0.09, p=0.53). ANCOVA analysis of building materials and numbers of openings did not explain variation in the number of mosquitoes caught. Three dwelling types were identified by using predetermined socio-environmental characteristics but there was no association found in this study between vector number and habitat characteristics as was suspected.

Object recognition of real targets using modelled SAR images

NASA Astrophysics Data System (ADS)

Zherdev, D. A.

2017-12-01

In this work the problem of recognition is studied using SAR images. The algorithm of recognition is based on the computation of conjugation indices with vectors of class. The support subspaces for each class are constructed by exception of the most and the less correlated vectors in a class. In the study we examine the ability of a significant feature vector size reduce that leads to recognition time decrease. The images of targets form the feature vectors that are transformed using pre-trained convolutional neural network (CNN).

Private actors, global health and learning the lessons of history.

PubMed

Youde, Jeremy

2016-01-01

Private business and philanthropic organizations have played a prominent role in the response to the Ebola outbreak in West Africa and the support of global health governance more broadly. While this involvement may appear to be novel or unprecedented, this article argues that this active role for private actors and philanthropies actually mirrors the historical experience of cross-border health governance in the first half of the twentieth century. By examining the experiences, roles and criticisms of the Rockefeller Foundation's International Health Division and the Bill and Melinda Gates Foundation, it is possible to identify potential opportunities for better cooperation between public and private actors in global health governance.

Public/Private Partnerships in Child Care.

ERIC Educational Resources Information Center

Sonnier, Catherine

1988-01-01

The amount of state legislation dealing with child care issues has significantly increased in the last 5 years. This report focuses on state strategies for expanding and improving the child care system through incentives and support for employers and providers. State policymakers are exploring partnerships of public and private resources for…

Outlook. Number 286

ERIC Educational Resources Information Center

Council for American Private Education, 2003

2003-01-01

This issue of the monthly newsletter for the Council for American Private Education (CAPE) includes the following articles: (1) D.C. Mayor Williams Endorses School Choice Initiative; (2) CAPE Quick Stats; (3) Private School Parents Pleased with Schools; (4) Blacks, Hispanics Support Vouchers More Than Whites; (5) Supreme Court to Hear Blaine Case;…

Evolution of Incubation Models: Evidence from the Italian Incubation Industry

ERIC Educational Resources Information Center

Grandi, Alessandro; Grimaldi, Rosa

2004-01-01

This paper addresses the role of incubators in supporting new venture creation. A mapping of four different types of incubator is proposed: corporate private incubators (CPIs), independent private incubators (IPIs), business innovation centres (BICs) and university business incubators (UBIs). This mapping is exemplified through case studies of one…

Policy Perspective: School Turnaround in England. Utilizing the Private Sector

ERIC Educational Resources Information Center

Corbett, Julie

2014-01-01

This paper, written by strategic partner of the Center on School Turnaround (CST), Julie Corbett, provides research and examples on England's approach to turning around its lowest performing schools. The English education system utilizes private vendors to support chronically low-performing schools and districts. The introduction is followed by…

Farm Foundation Annual Report, 2000.

ERIC Educational Resources Information Center

Farm Foundation, Oak Brook, IL.

The Farm Foundation was established in 1933 as a private agency to help coordinate the work of other public and private groups and agencies to improve agriculture and rural life without taking political positions or supporting specific legislation. An operating rather than a grant-making foundation, the foundation develops national and regional…

Review of "A School Privatization Primer for Michigan School Officials, Media and Residents"

ERIC Educational Resources Information Center

Belfield, Clive

2008-01-01

Issued by the Mackinac Center for Public Policy, "A School Privatization Primer for Michigan School Officials, Media and Residents" examines the "contracting out" of public school support services--specifically food, transportation, and custodial services. The report describes the prevalence of contracting out and sets forth…

The Tuition Crisis

ERIC Educational Resources Information Center

Quehl, Gary H.

1977-01-01

It is time to drop the "zero sum style" that has public and private institutions divisively arguing over private and public funds, and adopt a posture of mutual support. The president of the Council for the Advancement of Small Colleges (CASC) emphasizes that both independent and state-owned colleges and universities are needed and an educational…

Privatizing the Public University: Perspectives from across the Academy

ERIC Educational Resources Information Center

Morphew, Christopher C., Ed.; Eckel, Peter D., Ed.

2009-01-01

With public colleges and universities facing substantial budget cuts and increased calls for accountability, more institutions now rely on private revenue streams for support. As market-driven policies and behaviors become more commonplace, some cautious critics sound the alarm, while others watching the bottom line cheer. But which perspective…

Antecedents of Psychological Empowerment in the Malaysian Private Higher Education Institutions

ERIC Educational Resources Information Center

Ghani, Nik Azida Abd.; Hussin, Tengku Ahmad Badrul Shah bin Raja; Jusoff, Kamaruzaman

2009-01-01

Psychological empowerment comprising four cognitive dimensions i.e. meaning, competence, autonomy and impact in the context of private higher education institutions is being validated. Five factors considered as antecedents i.e. access to information, resources, organizational support and opportunity to learn and develop, and trust were studied.…

Small-Business Leaders Launch Campaign to Curb Campus Sales of Consumer Goods.

ERIC Educational Resources Information Center

Jaschik, Scott

1987-01-01

Small-business leaders have persuaded many lawmakers that nonprofit organizations--particularly colleges and universities--have used their tax-exempt status and government support to gain an unfair advantage over privately owned businesses. Computer-store owners, private chemical-laboratory owners, and travel agents say colleges should not receive…

Likelihood of Timber Management on Nonindustrial Private Forests: Evidence From Research Studies

Treesearch

Ralph J. Alig; Karen J. Lee; Robert J. Moulton

1990-01-01

Research on timber management tendencies by nonindustrial private forest owners, while sometimes conflicting, provides useful information to support policy analyses of timber supply and investment behavior. Numerous research studies regarding tree planting, intermediate stand treatments, and timber harvesting are reviewed. Conclusive research findings include that: (1...

78 FR 23744 - Proposed Establishment of a Federally Funded Research and Development Center-First Notice

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-22

... technologies in the government and private sectors. The activity includes staff support for information... cybersecurity technologies in the government and private sectors. [cir] Generate technical expertise to create a... cybersecurity approaches that address the real world needs of complex Information Technology (IT) systems. By...

Privatization and Educational Choice.

ERIC Educational Resources Information Center

Lieberman, Myron

This book describes how and why educational choice movements will affect public education. It uses a public-choice approach to argue that both the supporters and opponents of private and school choice have failed to address several critical issues. Following an introductory chapter, chapter 2 is devoted to the rationale for contracting out…

Alzheimer's disease public-private partnerships: update 2014.

PubMed

Snyder, Heather M; Kim, Hye; Bain, Lisa J; Egge, Robert; Carrillo, Maria C

2014-11-01

The National Plan to Address Alzheimer's Disease highlights the need for coordinated public-private partnerships. In recent years, the number of collaborations and consortia have expanded and grown in Alzheimer's research. The Alzheimer's Association compiles this annually updated compendium to centralize this inventory of partnerships in an effort to synergize these activities. This manuscript reflects the 2014 landscape of non-profit organizations who engage in public-private partnerships to promote and support dementia research. Copyright © 2014. Published by Elsevier Inc.

The politics of managed competition: public abuse of the private interest.

PubMed

Robinson, James C

2003-01-01

The doctrine of managed competition in health care sought to achieve the social goals of access and efficiency using market incentives and consumer choice rather than governmental regulation and public administration. In retrospect, it demanded too much from both the public and the private sectors. Rather than develop choice-supporting rules and institutions, the public sector has promoted process regulation and benefit mandates. The private health insurance sector has pursued short-term profitability rather than cooperate in the development of fair competition and informed consumer choice. Purchasers have subsidized inefficient insurance designs in order to exploit tax and regulatory loopholes and to retain an image of corporate paternalism. America's health care system suffers from the public abuse of private interests and the private abuse of the public interest.

Examining the influence of health insurance literacy and perception on the people preference to purchase private voluntary health insurance.

PubMed

Mathur, Tanuj; Das, Gurudas; Gupta, Hemendra

2018-01-01

Most studies have associated "un-affordability" as a plausible cause for the lower take-up of private voluntary health insurance plans. However, others refuted this claim on the pretext that when people can afford "inpatient-care" from pocket then insurance premium cost is far less than those payments. Thus, economic factors remain insufficient in clearly explaining the reason for poor private voluntary health insurance take-up. An attempt is being made by shifting the focus towards non-economic factors and understanding the role of perception and health insurance literacy in transforming people preferences to invest in private voluntary health insurance plans. The study findings will conspicuously support decision-makers in developing strategy to increase the private voluntary health insurance take-up.

[Private companies: an opportunity for hepatitis B virus (HBV) prevention and care in Ivory Coast in the wake of HIV/AIDS?].

PubMed

Bekelynck, A

2015-02-01

In the 1990s, defenders of "aids exceptionnalism" have promised that the inequities caused by HIV/AIDS could provide leverage in the care of other health issues later. Fifteen years later, this argument can be rethought at the light of the current context of hepatitis B virus (HBV) in Ivory Coast. In fact, in this country, the challenges caused by HBVecho those of HIV/AIDS fifteen years ago: high prevalence (8-10%), ignorance of the disease, and high cost of care. To this end, this article compares the role of private companies in the fights against HIV/AIDS in the 2000s and its role in the fight against HBV today. Although some private firms played a critical role in the promotion of universal access to ART, today, they are one of the few places where HBV screening, vaccination and treatment are offered in the country. HIV/AIDS opened the door for private companies to address other diseases through their health care systems. However, many challenges still need to be met: the absence of qualitative ongoing training for health professionals, illness representations and the costs of treatments, which are all related to the lack of international and national collective action. In Ivory Coast, at the early stage of the HIV/AIDS epidemic, national authorities took up the leadership in the fight against AIDS in West Africa, by developing extraverted strategies (Xth ICASA's organization, Unaids initiative hosting). The exceptional international mobilization and the creation of innovative funding mechanisms [International Therapeutic Solidarity Fund (ITSF), Global Fund (GM), and President's Emergency Plan for AIDS Relief (PEPFAR)] have facilitated easy access to ARV. Although 380 million people are infected by chronic HBV in the world, even so, international and national collective actions are fledgling and remained weak. Moreover, private firms have represented leverage for testing, treatment, and the provision of universal access to medication in the context of the HIV/AIDS epidemic in Ivory Coast, as relayed by other public and private actors. In the HBV context, private companies can only be a vector for the development of a two tier healthcare system. Therefore, the lack of a strong international commitment prevents public and private local initiatives to generalize HBV prevention and treatment.

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging

PubMed Central

Gaonkar, Bilwaj; Shinohara, Russell T; Davatzikos, Christos

2015-01-01

Machine learning based classification algorithms like support vector machines (SVMs) have shown great promise for turning a high dimensional neuroimaging data into clinically useful decision criteria. However, tracing imaging based patterns that contribute significantly to classifier decisions remains an open problem. This is an issue of critical importance in imaging studies seeking to determine which anatomical or physiological imaging features contribute to the classifier’s decision, thereby allowing users to critically evaluate the findings of such machine learning methods and to understand disease mechanisms. The majority of published work addresses the question of statistical inference for support vector classification using permutation tests based on SVM weight vectors. Such permutation testing ignores the SVM margin, which is critical in SVM theory. In this work we emphasize the use of a statistic that explicitly accounts for the SVM margin and show that the null distributions associated with this statistic are asymptotically normal. Further, our experiments show that this statistic is a lot less conservative as compared to weight based permutation tests and yet specific enough to tease out multivariate patterns in the data. Thus, we can better understand the multivariate patterns that the SVM uses for neuroimaging based classification. PMID:26210913

Sparse kernel methods for high-dimensional survival data.

PubMed

Evers, Ludger; Messow, Claudia-Martina

2008-07-15

Sparse kernel methods like support vector machines (SVM) have been applied with great success to classification and (standard) regression settings. Existing support vector classification and regression techniques however are not suitable for partly censored survival data, which are typically analysed using Cox's proportional hazards model. As the partial likelihood of the proportional hazards model only depends on the covariates through inner products, it can be 'kernelized'. The kernelized proportional hazards model however yields a solution that is dense, i.e. the solution depends on all observations. One of the key features of an SVM is that it yields a sparse solution, depending only on a small fraction of the training data. We propose two methods. One is based on a geometric idea, where-akin to support vector classification-the margin between the failed observation and the observations currently at risk is maximised. The other approach is based on obtaining a sparse model by adding observations one after another akin to the Import Vector Machine (IVM). Data examples studied suggest that both methods can outperform competing approaches. Software is available under the GNU Public License as an R package and can be obtained from the first author's website http://www.maths.bris.ac.uk/~maxle/software.html.

Intelligent Design of Metal Oxide Gas Sensor Arrays Using Reciprocal Kernel Support Vector Regression

NASA Astrophysics Data System (ADS)

Dougherty, Andrew W.

Metal oxides are a staple of the sensor industry. The combination of their sensitivity to a number of gases, and the electrical nature of their sensing mechanism, make the particularly attractive in solid state devices. The high temperature stability of the ceramic material also make them ideal for detecting combustion byproducts where exhaust temperatures can be high. However, problems do exist with metal oxide sensors. They are not very selective as they all tend to be sensitive to a number of reduction and oxidation reactions on the oxide's surface. This makes sensors with large numbers of sensors interesting to study as a method for introducing orthogonality to the system. Also, the sensors tend to suffer from long term drift for a number of reasons. In this thesis I will develop a system for intelligently modeling metal oxide sensors and determining their suitability for use in large arrays designed to analyze exhaust gas streams. It will introduce prior knowledge of the metal oxide sensors' response mechanisms in order to produce a response function for each sensor from sparse training data. The system will use the same technique to model and remove any long term drift from the sensor response. It will also provide an efficient means for determining the orthogonality of the sensor to determine whether they are useful in gas sensing arrays. The system is based on least squares support vector regression using the reciprocal kernel. The reciprocal kernel is introduced along with a method of optimizing the free parameters of the reciprocal kernel support vector machine. The reciprocal kernel is shown to be simpler and to perform better than an earlier kernel, the modified reciprocal kernel. Least squares support vector regression is chosen as it uses all of the training points and an emphasis was placed throughout this research for extracting the maximum information from very sparse data. The reciprocal kernel is shown to be effective in modeling the sensor responses in the time, gas and temperature domains, and the dual representation of the support vector regression solution is shown to provide insight into the sensor's sensitivity and potential orthogonality. Finally, the dual weights of the support vector regression solution to the sensor's response are suggested as a fitness function for a genetic algorithm, or some other method for efficiently searching large parameter spaces.

Vectoring of parallel synthetic jets: A parametric study

NASA Astrophysics Data System (ADS)

Berk, Tim; Gomit, Guillaume; Ganapathisubramani, Bharathram

2016-11-01

The vectoring of a pair of parallel synthetic jets can be described using five dimensionless parameters: the aspect ratio of the slots, the Strouhal number, the Reynolds number, the phase difference between the jets and the spacing between the slots. In the present study, the influence of the latter four on the vectoring behaviour of the jets is examined experimentally using particle image velocimetry. Time-averaged velocity maps are used to study the variations in vectoring behaviour for a parametric sweep of each of the four parameters independently. A topological map is constructed for the full four-dimensional parameter space. The vectoring behaviour is described both qualitatively and quantitatively. A vectoring mechanism is proposed, based on measured vortex positions. We acknowledge the financial support from the European Research Council (ERC Grant Agreement No. 277472).

Determination of Anti-Adeno-Associated Virus Vector Neutralizing Antibody Titer with an In Vitro Reporter System

PubMed Central

Meliani, Amine; Leborgne, Christian; Triffault, Sabrina; Jeanson-Leh, Laurence; Veron, Philippe

2015-01-01

Abstract Adeno-associated virus (AAV) vectors are a platform of choice for in vivo gene transfer applications. However, neutralizing antibodies (NAb) to AAV can be found in humans and some animal species as a result of exposure to the wild-type virus, and high-titer NAb develop following AAV vector administration. In some conditions, anti-AAV NAb can block transduction with AAV vectors even when present at low titers, thus requiring prescreening before vector administration. Here we describe an improved in vitro, cell-based assay for the determination of NAb titer in serum or plasma samples. The assay is easy to setup and sensitive and, depending on the purpose, can be validated to support clinical development of gene therapy products based on AAV vectors. PMID:25819687

Matrix Multiplication Algorithm Selection with Support Vector Machines

DTIC Science & Technology

2015-05-01

libraries that could intelligently choose the optimal algorithm for a particular set of inputs. Users would be oblivious to the underlying algorithmic...SAT.” J. Artif . Intell. Res.(JAIR), vol. 32, pp. 565–606, 2008. [9] M. G. Lagoudakis and M. L. Littman, “Algorithm selection using reinforcement...Artificial Intelligence , vol. 21, no. 05, pp. 961–976, 2007. [15] C.-C. Chang and C.-J. Lin, “LIBSVM: A library for support vector machines,” ACM

Support Vector Data Description Model to Map Specific Land Cover with Optimal Parameters Determined from a Window-Based Validation Set.

PubMed

Zhang, Jinshui; Yuan, Zhoumiqi; Shuai, Guanyuan; Pan, Yaozhong; Zhu, Xiufang

2017-04-26

This paper developed an approach, the window-based validation set for support vector data description (WVS-SVDD), to determine optimal parameters for support vector data description (SVDD) model to map specific land cover by integrating training and window-based validation sets. Compared to the conventional approach where the validation set included target and outlier pixels selected visually and randomly, the validation set derived from WVS-SVDD constructed a tightened hypersphere because of the compact constraint by the outlier pixels which were located neighboring to the target class in the spectral feature space. The overall accuracies for wheat and bare land achieved were as high as 89.25% and 83.65%, respectively. However, target class was underestimated because the validation set covers only a small fraction of the heterogeneous spectra of the target class. The different window sizes were then tested to acquire more wheat pixels for validation set. The results showed that classification accuracy increased with the increasing window size and the overall accuracies were higher than 88% at all window size scales. Moreover, WVS-SVDD showed much less sensitivity to the untrained classes than the multi-class support vector machine (SVM) method. Therefore, the developed method showed its merits using the optimal parameters, tradeoff coefficient ( C ) and kernel width ( s ), in mapping homogeneous specific land cover.

Medical school personal statements: a measure of motivation or proxy for cultural privilege?

PubMed

Wright, Sarah

2015-08-01

Students from state schools are underrepresented in UK medical schools. Discussions often focus on deficient academic and motivational traits of state school students, rather than considering the effects of student support during the admissions process. This qualitative study explored student experiences of support from schools and families during the medical school admissions process with particular focus on the personal statement. Interviews were conducted with thirteen medical students at a British medical school who had each attended a different secondary school (classified as private or state funded). A thematic analysis was performed. Bourdieu's concepts of capital and field were used as a theoretical lens through which to view the results. Interviews revealed substantial differences in support provided by private and state funded schools. Private schools had much more experience in the field of medical school admissions and had a vested interest in providing students with support. State schools were lacking by comparison, offering limited support that was often reactive rather than proactive. Students from private schools were also more likely to have social contacts who were knowledgeable about medical school admissions and who could help them gain access to work experience opportunities that would be recognised as legitimate by selectors. While medical schools endeavour to make fair admissions policies, there is an unintended link between a student's access to capital and ability to demonstrate commitment and motivation on personal statements. This helps explain why academically capable but financially or socially challenged students are less likely to be recognised as having potential during the admissions process. Medical schools need to be challenged to review their admissions policies to ensure that the do not inadvertently favour cultural privilege rather than student potential.

Primary and Secondary Education in Afghanistan: Comprehensive Assessments Needed to Determine the Progress and Effectiveness of Over $759 Million in DOD, State, and USAID Programs

DTIC Science & Technology

2016-04-26

through 12 for boys and girls in public, private, and community-based schools. To accomplish our objectives, we compiled all primary and secondary... girls and boys in remote rural and semi-urban areas, where access to MOE facilities is impractical due to distance or because the students are too...supporting grades 1–12 for boys and girls in public, private, and community-based schools. We focused specifically on activities that directly support

Vectoring of parallel synthetic jets

NASA Astrophysics Data System (ADS)

Berk, Tim; Ganapathisubramani, Bharathram; Gomit, Guillaume

2015-11-01

A pair of parallel synthetic jets can be vectored by applying a phase difference between the two driving signals. The resulting jet can be merged or bifurcated and either vectored towards the actuator leading in phase or the actuator lagging in phase. In the present study, the influence of phase difference and Strouhal number on the vectoring behaviour is examined experimentally. Phase-locked vorticity fields, measured using Particle Image Velocimetry (PIV), are used to track vortex pairs. The physical mechanisms that explain the diversity in vectoring behaviour are observed based on the vortex trajectories. For a fixed phase difference, the vectoring behaviour is shown to be primarily influenced by pinch-off time of vortex rings generated by the synthetic jets. Beyond a certain formation number, the pinch-off timescale becomes invariant. In this region, the vectoring behaviour is determined by the distance between subsequent vortex rings. We acknowledge the financial support from the European Research Council (ERC grant agreement no. 277472).

Managing mosquito spaces: Citizen self-governance of disease vectors in a desert landscape.

PubMed

vonHedemann, Nicolena; Robbins, Paul; Butterworth, Melinda K; Landau, Katheryn; Morin, Cory W

2017-01-01

Public health agencies' strategies to control disease vectors have increasingly included "soft" mosquito management programs that depend on citizen education and changing homeowner behaviors. In an effort to understand public responses to such campaigns, this research assesses the case of Tucson, Arizona, where West Nile virus presents a serious health risk and where management efforts have focused on public responsibility for mosquito control. Using surveys, interviews, and focus groups, we conclude that citizens have internalized responsibilities for mosquito management but also expect public management of parks and waterways while tending to reject the state's interference with privately owned parcels. Resident preferences for individualized mosquito management hinge on the belief that mosquito-borne diseases are not a large threat, a pervasive distrust of state management, and a fear of the assumed use of aerial pesticides by state managers. Opinions on who is responsible for mosquitoes hinge on both perceptions of mosquito ecology and territorial boundaries, with implications for future disease outbreaks. Copyright © 2016 Elsevier Ltd. All rights reserved.

Power line identification of millimeter wave radar based on PCA-GS-SVM

NASA Astrophysics Data System (ADS)

Fang, Fang; Zhang, Guifeng; Cheng, Yansheng

2017-12-01

Aiming at the problem that the existing detection method can not effectively solve the security of UAV's ultra low altitude flight caused by power line, a power line recognition method based on grid search (GS) and the principal component analysis and support vector machine (PCA-SVM) is proposed. Firstly, the candidate line of Hough transform is reduced by PCA, and the main feature of candidate line is extracted. Then, upport vector machine (SVM is) optimized by grid search method (GS). Finally, using support vector machine classifier optimized parameters to classify the candidate line. MATLAB simulation results show that this method can effectively identify the power line and noise, and has high recognition accuracy and algorithm efficiency.

Experimental Investigation for Fault Diagnosis Based on a Hybrid Approach Using Wavelet Packet and Support Vector Classification

PubMed Central

Li, Pengfei; Jiang, Yongying; Xiang, Jiawei

2014-01-01

To deal with the difficulty to obtain a large number of fault samples under the practical condition for mechanical fault diagnosis, a hybrid method that combined wavelet packet decomposition and support vector classification (SVC) is proposed. The wavelet packet is employed to decompose the vibration signal to obtain the energy ratio in each frequency band. Taking energy ratios as feature vectors, the pattern recognition results are obtained by the SVC. The rolling bearing and gear fault diagnostic results of the typical experimental platform show that the present approach is robust to noise and has higher classification accuracy and, thus, provides a better way to diagnose mechanical faults under the condition of small fault samples. PMID:24688361

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

PubMed

Cinelli, Mattia; Sun, Yuxin; Best, Katharine; Heather, James M; Reich-Zeliger, Shlomit; Shifrut, Eric; Friedman, Nir; Shawe-Taylor, John; Chain, Benny

2017-04-01

Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen receptor sequences. How this diversity captures antigen specificity remains incompletely understood. In this study we use high throughput sequencing to compare the global changes in T cell receptor β chain complementarity determining region 3 (CDR3β) sequences following immunization with ovalbumin administered with complete Freund's adjuvant (CFA) or CFA alone. The CDR3β sequences were deconstructed into short stretches of overlapping contiguous amino acids. The motifs were ranked according to a one-dimensional Bayesian classifier score comparing their frequency in the repertoires of the two immunization classes. The top ranking motifs were selected and used to create feature vectors which were used to train a support vector machine. The support vector machine achieved high classification scores in a leave-one-out validation test reaching >90% in some cases. The study describes a novel two-stage classification strategy combining a one-dimensional Bayesian classifier with a support vector machine. Using this approach we demonstrate that the frequency of a small number of linear motifs three amino acids in length can accurately identify a CD4 T cell response to ovalbumin against a background response to the complex mixture of antigens which characterize Complete Freund's Adjuvant. The sequence data is available at www.ncbi.nlm.nih.gov/sra/?term¼SRP075893 . The Decombinator package is available at github.com/innate2adaptive/Decombinator . The R package e1071 is available at the CRAN repository https://cran.r-project.org/web/packages/e1071/index.html . b.chain@ucl.ac.uk. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press.

76 FR 71888 - Federal Travel Regulation (FTR); Storage of a Privately Owned Vehicle When Assigned a Temporary...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-11-21

...This final rule amends the Federal Travel Regulation (FTR), and allows agencies to establish internal policy and procedures for storage of a privately owned vehicle (POV) when an employee is assigned a temporary change of station (TCS) in support of a contingency operation.

75 FR 32255 - Airworthiness Directives; Learjet Inc. Model 60 Airplanes

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-08

... Safety Board (NTSB), and Mike Waggoner, a private citizen, support the NPRM. The NTSB states that it... that we withdraw the NPRM. Cloud Nine Aviation states that the AFM requirement of a pre-flight pressure..., a private citizen, suggest that training is needed. Aviation Properties asks if there is a plan to...

Foundations and Higher Education: Innovation and Redirection.

ERIC Educational Resources Information Center

Archie, William C.

Change and innovation are needed in every aspect of life, and education is no exception. Foundations have done a great deal over the last hundred years for higher education. In 1966-1967, as in other years the largest share of private support for public higher education came from foundation grants. Private philanthropy has also aided immeasurably…

Finding a Golden Mean in Education Policy: Centering Religious and Public Schools

ERIC Educational Resources Information Center

Cooper, Bruce S.; McSween, Rose Byron; Murphy, Peter

2012-01-01

The separation between Church and State, private and public education, is blurring, and coming together, as the government gives families vouchers to attend private and religious schools. Religious groups are starting and supporting their own charter schools, and local jurisdictions (cities and counties) are providing free transportation and food…

Can Public Research Universities Compete? Research & Occasional Paper Series: CSHE.17.06

ERIC Educational Resources Information Center

Brint, Steven

2006-01-01

Many leaders of public research universities worry about falling behind private research universities at a time when private university finances have improved dramatically and state support for higher education has declined. In this paper, I provide grounds for a more optimistic view of the competitive position of public research universities. I…

Outsourcing of Technology in Higher Education: The Brookdale Experience.

ERIC Educational Resources Information Center

Thompson, Donna; Morgovsky, Joel

Outsourcing in higher education refers to the practice of contracting with private, off-campus firms to provide or manage services which have historically been provided in-house. Budget cutbacks and declining private support have led to increased use of outsourcing for non-mission-critical and non-instructional services, such as information…

Community Services Landscape in Canada: Survey of Developmental Disability Agencies.

ERIC Educational Resources Information Center

Pedlar, Alison; Hutchison, Peggy; Arai, Susan; Dunn, Peter

2000-01-01

A survey of 801 support services for adults with developmental disabilities living in community settings in Canada found a diminution of government's role in funding and guiding service provision and the emergence of private-for-profit services. Differences between nonprofit and private sectors include a greater propensity in nonprofit agencies to…

Dental Education: An Excellent Investment for the Government.

ERIC Educational Resources Information Center

Leightner, Jonathan E.; Zwemer, Jack D.

1999-01-01

Provides data on the financial gains accruing to government, both federal and state, from increased support of dental education, especially in private schools. Tables and calculations are offered to show that the net present value for government averages $292,103 per graduate from private dental schools and $116,1888 per graduate from public…

Sponsored Grant-maintained Schools: Extending the Franchise?

ERIC Educational Resources Information Center

Walford, Geoffrey

1997-01-01

Discusses the introduction and implementation of the 1988 Education Reform Act for England and Wales. Traces the attempts of several existing private schools to become grant maintained (eligible for various forms of government support). Most private and faith-based schools have not been successful in this endeavor. Discusses the reasons for this.…

Childcare Markets in an Age of Austerity

ERIC Educational Resources Information Center

Lloyd, Eva; Penn, Helen

2014-01-01

Public support provided for European early childhood education and care (ECEC) systems varies considerably. European ECEC systems tend to form part of a mixed economy, in which the state, private-for-profit and private-not-for-profit providers all play a role in ECEC's provision, funding and regulation, representing a market model. ECEC…

Public College and University Development: Fund Raising at State Universities, State Colleges, and Community Colleges.

ERIC Educational Resources Information Center

Worth, Michael J., Ed.

Differences in fund raising in public and private colleges are considered in 14 papers, with attention to different strategies, the organization of the effort, and special considerations. Article titles and authors are: "Private Support of Public Higher Education" (Michael J. Worth); "Organization of Fund Raising at Public…

Financing for Higher Education Shifts to Private Sector Worldwide

ERIC Educational Resources Information Center

Bollag, Burton

2007-01-01

This article presents a report released by the Institute for Higher Education Policy, a nonprofit group promoting access and quality in postsecondary education around the world. With college enrollments mushrooming in many nations but public support generally unable to keep up, the world is seeing a historic swing from public to private financing…

Vector control programs in Saint Johns County, Florida and Guayas, Ecuador: successes and barriers to integrated vector management.

PubMed

Naranjo, Diana P; Qualls, Whitney A; Jurado, Hugo; Perez, Juan C; Xue, Rui-De; Gomez, Eduardo; Beier, John C

2014-07-02

Vector-borne diseases (VBDs) and mosquito control programs (MCPs) diverge in settings and countries, and lead control specialists need to be aware of the most effective control strategies. Integrated Vector Management (IVM) strategies, once implemented in MCPs, aim to reduce cost and optimize protection of the populations against VBDs. This study presents a strengths, weaknesses, opportunities, and threats (SWOT) analysis to compare IVM strategies used by MCPs in Saint Johns County, Florida and Guayas, Ecuador. This research evaluates MCPs strategies to improve vector control activities. Methods included descriptive findings of the MCP operations. Information was obtained from vector control specialists, directors, and residents through field trips, surveys, and questionnaires. Evaluations of the strategies and assets of the control programs where obtained through SWOT analysis and within an IVM approach. Organizationally, the Floridian MCP is a tax-based District able to make decisions independently from county government officials, with the oversight of an elected board of commissioners. The Guayas program is directed by the country government and assessed by non-governmental organizations like the World health Organization. Operationally, the Floridian MCP conducts entomological surveillance and the Ecuadorian MCP focuses on epidemiological monitoring of human disease cases. Strengths of both MCPs were their community participation and educational programs. Weaknesses for both MCPs included limitations in budgets and technical capabilities. Opportunities, for both MCPs, are additional funding and partnerships with private, non-governmental, and governmental organizations. Threats experienced by both MCPs included political constraints and changes in the social and ecological environment that affect mosquito densities and control efforts. IVM pillars for policy making were used to compare the information among the programs. Differences included how the Ecuadorian MCP relies heavily on the community for vector control while the American MCP relies on technologies and research. IVM based recommendations direct health policy leaders toward improving surveillance systems both entomologically and epidemiologically, improving community risk perceptions by integrating components of community participation, maximizing resources though the use of applied research, and protecting the environment by selecting low-risk pesticides. Outcomes of the research revealed that inter-sectorial and multidisciplinary interventions are critical to improve public health.

Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches.

PubMed

Franke, Jonas; Gebreslasie, Michael; Bauwens, Ides; Deleu, Julie; Siegert, Florian

2015-06-03

Malaria affects about half of the world's population, with the vast majority of cases occuring in Africa. National malaria control programmes aim to reduce the burden of malaria and its negative, socioeconomic effects by using various control strategies (e.g. vector control, environmental management and case tracking). Vector control is the most effective transmission prevention strategy, while environmental factors are the key parameters affecting transmission. Geographic information systems (GIS), earth observation (EO) and spatial modelling are increasingly being recognised as valuable tools for effective management and malaria vector control. Issues previously inhibiting the use of EO in epidemiology and malaria control such as poor satellite sensor performance, high costs and long turnaround times, have since been resolved through modern technology. The core goal of this study was to develop and implement the capabilities of EO data for national malaria control programmes in South Africa, Swaziland and Mozambique. High- and very high resolution (HR and VHR) land cover and wetland maps were generated for the identification of potential vector habitats and human activities, as well as geoinformation on distance to wetlands for malaria risk modelling, population density maps, habitat foci maps and VHR household maps. These products were further used for modelling malaria incidence and the analysis of environmental factors that favour vector breeding. Geoproducts were also transferred to the staff of national malaria control programmes in seven African countries to demonstrate how EO data and GIS can support vector control strategy planning and monitoring. The transferred EO products support better epidemiological understanding of environmental factors related to malaria transmission, and allow for spatio-temporal targeting of malaria control interventions, thereby improving the cost-effectiveness of interventions.

Seminal quality prediction using data mining methods.

PubMed

Sahoo, Anoop J; Kumar, Yugal

2014-01-01

Now-a-days, some new classes of diseases have come into existences which are known as lifestyle diseases. The main reasons behind these diseases are changes in the lifestyle of people such as alcohol drinking, smoking, food habits etc. After going through the various lifestyle diseases, it has been found that the fertility rates (sperm quantity) in men has considerably been decreasing in last two decades. Lifestyle factors as well as environmental factors are mainly responsible for the change in the semen quality. The objective of this paper is to identify the lifestyle and environmental features that affects the seminal quality and also fertility rate in man using data mining methods. The five artificial intelligence techniques such as Multilayer perceptron (MLP), Decision Tree (DT), Navie Bayes (Kernel), Support vector machine+Particle swarm optimization (SVM+PSO) and Support vector machine (SVM) have been applied on fertility dataset to evaluate the seminal quality and also to predict the person is either normal or having altered fertility rate. While the eight feature selection techniques such as support vector machine (SVM), neural network (NN), evolutionary logistic regression (LR), support vector machine plus particle swarm optimization (SVM+PSO), principle component analysis (PCA), chi-square test, correlation and T-test methods have been used to identify more relevant features which affect the seminal quality. These techniques are applied on fertility dataset which contains 100 instances with nine attribute with two classes. The experimental result shows that SVM+PSO provides higher accuracy and area under curve (AUC) rate (94% & 0.932) among multi-layer perceptron (MLP) (92% & 0.728), Support Vector Machines (91% & 0.758), Navie Bayes (Kernel) (89% & 0.850) and Decision Tree (89% & 0.735) for some of the seminal parameters. This paper also focuses on the feature selection process i.e. how to select the features which are more important for prediction of fertility rate. In this paper, eight feature selection methods are applied on fertility dataset to find out a set of good features. The investigational results shows that childish diseases (0.079) and high fever features (0.057) has less impact on fertility rate while age (0.8685), season (0.843), surgical intervention (0.7683), alcohol consumption (0.5992), smoking habit (0.575), number of hours spent on setting (0.4366) and accident (0.5973) features have more impact. It is also observed that feature selection methods increase the accuracy of above mentioned techniques (multilayer perceptron 92%, support vector machine 91%, SVM+PSO 94%, Navie Bayes (Kernel) 89% and decision tree 89%) as compared to without feature selection methods (multilayer perceptron 86%, support vector machine 86%, SVM+PSO 85%, Navie Bayes (Kernel) 83% and decision tree 84%) which shows the applicability of feature selection methods in prediction. This paper lightens the application of artificial techniques in medical domain. From this paper, it can be concluded that data mining methods can be used to predict a person with or without disease based on environmental and lifestyle parameters/features rather than undergoing various medical test. In this paper, five data mining techniques are used to predict the fertility rate and among which SVM+PSO provide more accurate results than support vector machine and decision tree.

Study on the Prevalence of Leptospirosis among Fever Cases Reported from Private Clinics in the Urban areas of Villupuram District, Tamil Nadu, India

PubMed Central

Basker, Parasuraman; Kannan, Pichai; Kolandaswamy, Karumana Gounder

2014-01-01

Objectives To know the prevalence of leptospirosis cases reported in private clinics among fever cases in Villupuram District, Tamil Nadu, India to know its real magnitude of the problem and to diagnose Leptospirosis among fever cases from differential diagnosis. Methods 1502 Blood serum samples collected from three urban towns namely Kallakurichi (Latitude: 11° 73′ N; Longitude: 78° 97′ E), Villupuram (Latitude: 11° 75′ N; Longitude: 79° 92′ E) and Thindivanam (Latitude: 12° 25′ N; Longitude: 79° 65′ E) in fifteen clinics based on case definition of leptospirosis delineated by the National Vector Borne Disease Control Programme (NVBDCP), Government of India. Samples were tested in the laboratory of the Zonal Entomological Team (ZET), Cuddalore with Macroscopic Slide Agglutination Test (MSAT) and Ig-M ELISA. Result There were 65 positive cases detected from 1502 blood serum samples in both MSAT and Ig-M ELISA. It could be known that there was 4% cases contributed from private clinics among fever cases. From this study, further it was known that all age groups of people affected irrespective of sexes based on their living condition associated with the environment prevailed of the disease. Conclusion From this study, it was quantified that 4% of cases reported in private clinics among fever cases and its findings ascertained both the importance of differential diagnosis as well as reports that should be included to the Government for knowing its real magnitude for planning. PMID:24955313

The insurance industry and public-private collaborations as a vector to develop and spread EO technologies and techniques in the domain of Food Security: The Swiss Re case.

NASA Astrophysics Data System (ADS)

Coutu, S.; Ragaz, M.; Mäder, D.; Hammer, P.; Andriesse, M.; Güttinger, U.; Feyen, H.

2017-12-01

The insurance industry has been contributing to the resilient development of agriculture in multiple regions of the globe since the beginning of the 19th Century. It also has from the very beginning of the development of EO Sciences, kept a very close eye on the development of technologies and techniques in this domain. Recent advances in this area such as increased satellite imagery resolution, faster computation time and Big Data management combined with the ground-based knowledge from the insurance industry have offered farmers not only tools permitting better crop management, but also reliable and live yield coverage. This study presents several of these applications at different scales (industrial farming and micro-farming) and in different climate regions, with an emphasis on the limit of current products. Some of these limits such as lack of access of to ground data, R&D efforts or understanding of ground needs could be quickly overcome through closer public-private or private-private collaborations. However, despite a clear benefit for the Food Security nexus and potential win-win situations, those collaborations are not always simple to develop. We present here successful but also disappointing collaboration cases based on the Swiss Re experience, as a global insurance leader. As a conclusion, we highlight how academia, NGOs, governmental organization, start-ups and the insurance industry can get together to foster the development of EO in the domain of Food Security, and bring cutting-edge science to game changing industrial applications.

A Collaborative Framework for Distributed Privacy-Preserving Support Vector Machine Learning

PubMed Central

Que, Jialan; Jiang, Xiaoqian; Ohno-Machado, Lucila

2012-01-01

A Support Vector Machine (SVM) is a popular tool for decision support. The traditional way to build an SVM model is to estimate parameters based on a centralized repository of data. However, in the field of biomedicine, patient data are sometimes stored in local repositories or institutions where they were collected, and may not be easily shared due to privacy concerns. This creates a substantial barrier for researchers to effectively learn from the distributed data using machine learning tools like SVMs. To overcome this difficulty and promote efficient information exchange without sharing sensitive raw data, we developed a Distributed Privacy Preserving Support Vector Machine (DPP-SVM). The DPP-SVM enables privacy-preserving collaborative learning, in which a trusted server integrates “privacy-insensitive” intermediary results. The globally learned model is guaranteed to be exactly the same as learned from combined data. We also provide a free web-service (http://privacy.ucsd.edu:8080/ppsvm/) for multiple participants to collaborate and complete the SVM-learning task in an efficient and privacy-preserving manner. PMID:23304414

Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

PubMed

Alcaide-Leon, P; Dufort, P; Geraldo, A F; Alshafai, L; Maralani, P J; Spears, J; Bharatha, A

2017-06-01

Accurate preoperative differentiation of primary central nervous system lymphoma and enhancing glioma is essential to avoid unnecessary neurosurgical resection in patients with primary central nervous system lymphoma. The purpose of the study was to evaluate the diagnostic performance of a machine-learning algorithm by using texture analysis of contrast-enhanced T1-weighted images for differentiation of primary central nervous system lymphoma and enhancing glioma. Seventy-one adult patients with enhancing gliomas and 35 adult patients with primary central nervous system lymphomas were included. The tumors were manually contoured on contrast-enhanced T1WI, and the resulting volumes of interest were mined for textural features and subjected to a support vector machine-based machine-learning protocol. Three readers classified the tumors independently on contrast-enhanced T1WI. Areas under the receiver operating characteristic curves were estimated for each reader and for the support vector machine classifier. A noninferiority test for diagnostic accuracy based on paired areas under the receiver operating characteristic curve was performed with a noninferiority margin of 0.15. The mean areas under the receiver operating characteristic curve were 0.877 (95% CI, 0.798-0.955) for the support vector machine classifier; 0.878 (95% CI, 0.807-0.949) for reader 1; 0.899 (95% CI, 0.833-0.966) for reader 2; and 0.845 (95% CI, 0.757-0.933) for reader 3. The mean area under the receiver operating characteristic curve of the support vector machine classifier was significantly noninferior to the mean area under the curve of reader 1 ( P = .021), reader 2 ( P = .035), and reader 3 ( P = .007). Support vector machine classification based on textural features of contrast-enhanced T1WI is noninferior to expert human evaluation in the differentiation of primary central nervous system lymphoma and enhancing glioma. © 2017 by American Journal of Neuroradiology.

Preparation for a first-in-man lentivirus trial in patients with cystic fibrosis

PubMed Central

Alton, Eric W F W; Beekman, Jeffery M; Boyd, A Christopher; Brand, June; Carlon, Marianne S; Connolly, Mary M; Chan, Mario; Conlon, Sinead; Davidson, Heather E; Davies, Jane C; Davies, Lee A; Dekkers, Johanna F; Doherty, Ann; Gea-Sorli, Sabrina; Gill, Deborah R; Griesenbach, Uta; Hasegawa, Mamoru; Higgins, Tracy E; Hironaka, Takashi; Hyndman, Laura; McLachlan, Gerry; Inoue, Makoto; Hyde, Stephen C; Innes, J Alastair; Maher, Toby M; Moran, Caroline; Meng, Cuixiang; Paul-Smith, Michael C; Pringle, Ian A; Pytel, Kamila M; Rodriguez-Martinez, Andrea; Schmidt, Alexander C; Stevenson, Barbara J; Sumner-Jones, Stephanie G; Toshner, Richard; Tsugumine, Shu; Wasowicz, Marguerite W; Zhu, Jie

2017-01-01

We have recently shown that non-viral gene therapy can stabilise the decline of lung function in patients with cystic fibrosis (CF). However, the effect was modest, and more potent gene transfer agents are still required. Fuson protein (F)/Hemagglutinin/Neuraminidase protein (HN)-pseudotyped lentiviral vectors are more efficient for lung gene transfer than non-viral vectors in preclinical models. In preparation for a first-in-man CF trial using the lentiviral vector, we have undertaken key translational preclinical studies. Regulatory-compliant vectors carrying a range of promoter/enhancer elements were assessed in mice and human air–liquid interface (ALI) cultures to select the lead candidate; cystic fibrosis transmembrane conductance receptor (CFTR) expression and function were assessed in CF models using this lead candidate vector. Toxicity was assessed and ‘benchmarked’ against the leading non-viral formulation recently used in a Phase IIb clinical trial. Integration site profiles were mapped and transduction efficiency determined to inform clinical trial dose-ranging. The impact of pre-existing and acquired immunity against the vector and vector stability in several clinically relevant delivery devices was assessed. A hybrid promoter hybrid cytosine guanine dinucleotide (CpG)- free CMV enhancer/elongation factor 1 alpha promoter (hCEF) consisting of the elongation factor 1α promoter and the cytomegalovirus enhancer was most efficacious in both murine lungs and human ALI cultures (both at least 2-log orders above background). The efficacy (at least 14% of airway cells transduced), toxicity and integration site profile supports further progression towards clinical trial and pre-existing and acquired immune responses do not interfere with vector efficacy. The lead rSIV.F/HN candidate expresses functional CFTR and the vector retains 90–100% transduction efficiency in clinically relevant delivery devices. The data support the progression of the F/HN-pseudotyped lentiviral vector into a first-in-man CF trial in 2017. PMID:27852956

Public higher education in the Philippines

NASA Astrophysics Data System (ADS)

Cardozier, V. R.

1984-06-01

Clearly, the national government of the Philippines has decided to increase the number and comprehensiveness of its public colleges and universities. While private colleges and universities are likely to dominate higher education in the Philippines for the remainer of this century, it appears that public, tax-supported higher education will become increasingly available there. The Philippines is not a wealthy country but it is devoting a substantial portion of its national resources to public higher education. In 1983, higher education received 2.85 percent of the national budget, a figure that has been rising for years. Compared with some highly developed countries, this is not a large percentage, but for a country that has traditionally relied on private higher education, it is a major and growing investment in the public sector. While many of the better universities in the Philippines are private, many other private educational institutions are small and struggling. As their financial resources become more limited, and as less expensive, tax-supported higher education becomes increasingly available, a lot of the struggling private colleges will probably close. This process is also being hastened by actions of the government to upgrade quality, for example in the case of the many private colleges that developed after World War II. In an attempt to improve the academic quality of these marginal institutions, the Ministry of Education, Culture and Sports has been given extensive authority, and while its intrusion into private institutions has been modest by some measures, its requirements are affecting them all and will speed the demise of some. This is bound to lead to a stronger role for public higher education in the Philippines, a country that is striving diligently to improve the education and hence the quality of life of its people.

List of Contractors to Support Anthrax Remediation

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

Judd, Kathleen S.; Lesperance, Ann M.

2010-05-14

This document responds to a need identified by private sector businesses for information on contractors that may be qualified to support building remediation efforts following a wide-area anthrax release.

Recognition and Classification of Road Condition on the Basis of Friction Force by Using a Mobile Robot

NASA Astrophysics Data System (ADS)

Watanabe, Tatsuhito; Katsura, Seiichiro

A person operating a mobile robot in a remote environment receives realistic visual feedback about the condition of the road on which the robot is moving. The categorization of the road condition is necessary to evaluate the conditions for safe and comfortable driving. For this purpose, the mobile robot should be capable of recognizing and classifying the condition of the road surfaces. This paper proposes a method for recognizing the type of road surfaces on the basis of the friction between the mobile robot and the road surfaces. This friction is estimated by a disturbance observer, and a support vector machine is used to classify the surfaces. The support vector machine identifies the type of the road surface using feature vector, which is determined using the arithmetic average and variance derived from the torque values. Further, these feature vectors are mapped onto a higher dimensional space by using a kernel function. The validity of the proposed method is confirmed by experimental results.

Protein Kinase Classification with 2866 Hidden Markov Models and One Support Vector Machine

NASA Technical Reports Server (NTRS)

Weber, Ryan; New, Michael H.; Fonda, Mark (Technical Monitor)

2002-01-01

The main application considered in this paper is predicting true kinases from randomly permuted kinases that share the same length and amino acid distributions as the true kinases. Numerous methods already exist for this classification task, such as HMMs, motif-matchers, and sequence comparison algorithms. We build on some of these efforts by creating a vector from the output of thousands of structurally based HMMs, created offline with Pfam-A seed alignments using SAM-T99, which then must be combined into an overall classification for the protein. Then we use a Support Vector Machine for classifying this large ensemble Pfam-Vector, with a polynomial and chisquared kernel. In particular, the chi-squared kernel SVM performs better than the HMMs and better than the BLAST pairwise comparisons, when predicting true from false kinases in some respects, but no one algorithm is best for all purposes or in all instances so we consider the particular strengths and weaknesses of each.

Salient Feature Identification and Analysis using Kernel-Based Classification Techniques for Synthetic Aperture Radar Automatic Target Recognition

DTIC Science & Technology

2014-03-27

and machine learning for a range of research including such topics as medical imaging [10] and handwriting recognition [11]. The type of feature...1989. [11] C. Bahlmann, B. Haasdonk, and H. Burkhardt, “Online handwriting recognition with support vector machines-a kernel approach,” in Eighth...International Workshop on Frontiers in Handwriting Recognition, pp. 49–54, IEEE, 2002. [12] C. Cortes and V. Vapnik, “Support-vector networks,” Machine

Algorithm for detection the QRS complexes based on support vector machine

NASA Astrophysics Data System (ADS)

Van, G. V.; Podmasteryev, K. V.

2017-11-01

The efficiency of computer ECG analysis depends on the accurate detection of QRS-complexes. This paper presents an algorithm for QRS complex detection based of support vector machine (SVM). The proposed algorithm is evaluated on annotated standard databases such as MIT-BIH Arrhythmia database. The QRS detector obtained a sensitivity Se = 98.32% and specificity Sp = 95.46% for MIT-BIH Arrhythmia database. This algorithm can be used as the basis for the software to diagnose electrical activity of the heart.

A portable approach for PIC on emerging architectures

NASA Astrophysics Data System (ADS)

Decyk, Viktor

2016-03-01

A portable approach for designing Particle-in-Cell (PIC) algorithms on emerging exascale computers, is based on the recognition that 3 distinct programming paradigms are needed. They are: low level vector (SIMD) processing, middle level shared memory parallel programing, and high level distributed memory programming. In addition, there is a memory hierarchy associated with each level. Such algorithms can be initially developed using vectorizing compilers, OpenMP, and MPI. This is the approach recommended by Intel for the Phi processor. These algorithms can then be translated and possibly specialized to other programming models and languages, as needed. For example, the vector processing and shared memory programming might be done with CUDA instead of vectorizing compilers and OpenMP, but generally the algorithm itself is not greatly changed. The UCLA PICKSC web site at http://www.idre.ucla.edu/ contains example open source skeleton codes (mini-apps) illustrating each of these three programming models, individually and in combination. Fortran2003 now supports abstract data types, and design patterns can be used to support a variety of implementations within the same code base. Fortran2003 also supports interoperability with C so that implementations in C languages are also easy to use. Finally, main codes can be translated into dynamic environments such as Python, while still taking advantage of high performing compiled languages. Parallel languages are still evolving with interesting developments in co-Array Fortran, UPC, and OpenACC, among others, and these can also be supported within the same software architecture. Work supported by NSF and DOE Grants.

Health-related quality of life of students from a private medical school in Brazil.

PubMed

Lins, Liliane; Carvalho, Fernando M; Menezes, Marta S; Porto-Silva, Larissa; Damasceno, Hannah

2015-11-08

To assess health-related quality of life (HRQOL) and to describe factors associated with its variation among undergraduate medical students at a Brazilian private medical school. A cross-sectional study in a sample (n=180) of medical students at a private medical school in Salvador, Brazil, stratified by year of medical course. Data about age, sex, year of course, physical activity, sleepiness, headaches, participation in a student loan program supported by the Brazilian government (FIES) and living arrangements were collected using a self-administered form. HRQOL was assessed by using a Brazilian Portuguese version of the SF-36 form. The eight domains of SF-36 and the Physical Component (PCS) and Mental Component (MCS) Summaries scales were calculated. The medical students showed poor HRQOL, mainly because of the mental component. Lower mean scores were found among those with FIES support, females, those suffering from sleepiness, headaches and lacking physical activity. No clear trend was observed in the variation of the SF-36 mean scores according to the year of medical school. However, students in the fifth year of the course had the highest HRQOL mean scores. Health-related quality of life of students at this private medical school was poor, mainly because of its mental component. Lower HRQOL was associated with FIES support, females, sleepiness, headaches and lack of regular physical activity. Higher scores were found among fifth year students.

Prisons, jobs and privatization: The impact of prisons on employment growth in rural US counties, 1997-2004.

PubMed

Genter, Shaun; Hooks, Gregory; Mosher, Clayton

2013-05-01

In this study of prison privatization we draw on the insights of a recent body of literature that challenges a widespread belief that prisons help to spur employment growth in local communities. We look to these studies to provide an empirically and theoretically grounded approach to addressing our research question: what are the benefits, if any, to employment growth in states that have privatized some of their prisons, compared to states with only public prisons? Our research makes use of a large, national, and comprehensive dataset. By examining the employment contributions of prisons, as recent research has done, we were able to corroborate the general findings of this research. To study prison privatization we distinguish between states in which privatization has grown rapidly and those states in which privatization has grown slowly (or not at all). Our findings lend support to recent research that finds prisons do not improve job prospects for those communities that host them. We contribute to this literature by demonstrating that new prisons in states in which privatization is surging impede employment growth in the host community. To explain this we highlight the significant reduction in prison staffing - in both private and public prisons - where privatization is growing quickly. Copyright © 2012 Elsevier Inc. All rights reserved.

The relationships between public and private pension schemes: an introductory overview.

PubMed

Horlick, M

1987-07-01

Only recently have social insurance and private pensions, collectively, come to be thought of in terms of a total social security benefit package. The economic problems brought on by the 1974 oil crisis initially triggered consideration of a common, integrated role for the two systems. The second oil crisis reinforced the relative expansion in private pension programs, as a supplement to social security. Before these events, private and public pension programs interacted in only a limited number of ways, confined to relatively few countries. These interactions were largely confined to collective bargaining, whereby private pensions were gradually extended to nearly all employees in France and Sweden; mandating, or legally requiring private supplementation of social security, debated in several countries in the early 1970's, but postponed by the 1974 oil crisis; and contracting out, or covering a part of the social security benefit under a private plan, as in the United Kingdom. Overall, the tradition of private pensions was not very strong or broadbased. The current debate centers on which public/private pension mix is desirable from the point of view of an old-age income-maintenance program. A new element is the rising support for a "third pillar"--individual tax-encouraged savings--not only as a supplement, but as an alternative to social insurance.

How to create a public-private partnership: a replicable project associated with business continuity.

PubMed

Hahn, Daniel

2010-07-01

In an age of political turmoil and mistrust of governments, having an outlet for creative problem solving that involves all aspects of communities during disasters is critical. Additionally, there is a need for outlets that save taxpayer money for particular projects, such as road construction or infrastructure protection. Public-private partnerships are one way to accomplish these goals. Utilised correctly, a public-private partnership is a win-win situation for all participants. This paper will make the case for the continued support from all sectors for public-private partnerships. A description of public-private partnerships will be given to show the broad spectrum of opportunities for such a partnership. In addition, a case study of a public-private partnership called SAFER Santa Rosa is explored as the programme is oriented towards disasters, but keeps the community engaged all year round. Finally, an example is presented of an initiative that not only exemplifies the spirit of public-private partnerships, but has attracted international recognition because it is simple, replicable, cost-effective and valuable to both the private sector and the public sector. The Business Emergency Response Toolkit bag is a true public-private success story. It is hoped that the reader will be able to replicate the ideas discussed herein in their own community.

Enhancing private sector engagement: Louisiana's business emergency operations centre.

PubMed

Day, Jamison M; Strother, Shannon; Kolluru, Ramesh; Booth, Joseph; Rawls, Jason; Calderon, Andres

2010-07-01

Public sector emergency management is more effective when it coordinates its efforts with private sector companies that can provide useful capabilities faster, cheaper and better than government agencies. A business emergency operations centre (EOC) provides a space for private sector and non-governmental organisations to gather together in support of government efforts. This paper reviews business-related EOC practices in multiple US states and details the development of a new business EOC by the State of Louisiana, including lessons learned in response to the May 2010 oil spill.

Understanding the impact of commercialization on public support for scientific research: is it about the funding source or the organization conducting the research.

PubMed

Critchley, Christine R; Nicol, Dianne

2011-05-01

This research examines the influence of commercialization on support for scientific research. It compares the effects of the funding source with the type of organization on public support for stem cell research. Using a national Australian telephone survey (n = 1000), the results reveal that support drops significantly when scientific research is funded by private rather than public interests, and even more so when it is conducted in a private company rather than a public university. Respondents' preference for university research was enhanced if they trusted universities, distrusted major companies and believed that the research would be beneficial. A preference for public funding was also associated with lower trust in companies and a belief that the research would benefit people. Implications of these results are discussed in relation to the challenge of maintaining public support in an increasingly commercialized research environment.

Connecting rehabilitation and everyday life--the lived experiences among women with stress-related ill health.

PubMed

Hellman, Therese; Jonsson, Hans; Johansson, Ulla; Tham, Kerstin

2013-10-01

The aim was to describe and understand how connecting rehabilitation experiences and everyday life was characterised in the lived experiences during the rehabilitation in women with stress-related ill health. Five women were interviewed on three occasions during a rehabilitation programme and once 3 months later. Data were analysed using the Empirical, Phenomenological and Psychological method. The participants experienced connections between their rehabilitation and their previous, present and future everyday life influencing both rehabilitation and everyday life in a back-and-forth process. These connections were experienced in mind or in doing, mostly targeting the private arena in everyday life. Connecting rehabilitation experiences to their working situations was more challenging and feelings of frustration and being left alone were experienced. Although the participants described constructive connections between rehabilitation experiences and the private arena in everyday life, they mostly failed to experience connections that facilitated a positive return to work. Recommended support in the return to work process in rehabilitation comprises the provision of practical work-related activities during rehabilitation; being supportive in a constructive dialogue between the participant and the workplace, and continuing this support in follow-ups after the actual rehabilitation period. Rehabilitation for persons with stress-related ill health needs to focus on the private arena as well as the work situation in everyday life. Creative activities may enable experiences that inspire connections in mind and connections targeting the private arena in everyday life. The work situation needs to be thoroughly discussed during rehabilitation for enabling the participants to experience a support in the return to work process. Rehabilitation including practical work-related activities, support in a constructive dialogue between the participant and the manager at the workplace, and continued support in follow-ups targeting the workplace might be beneficial for successfully return to work.

Institutional logic in self-management support: coexistence and diversity.

PubMed

Bossy, Dagmara; Knutsen, Ingrid Ruud; Rogers, Anne; Foss, Christina

2016-11-01

The prevalence of chronic conditions in Europe has been the subject of health-political reforms that have increasingly targeted collaboration between public, private and voluntary organisations for the purpose of supporting self-management of long-term diseases. The international literature describes collaboration across sectors as challenging, which implies that their respective logics are conflicting or incompatible. In line with the European context, recent Norwegian health policy advocates inter-sectorial partnerships. The aim of this policy is to create networks supporting better self-management for people with chronic conditions. The purpose of our qualitative study was to map different understandings of self-management support in private for-profit, volunteer and public organisations. These organisations are seen as potential self-management support networks for individuals with chronic conditions in Norway. From December 2012 to April 2013, we conducted 50 semi-structured interviews with representatives from relevant health and well-being organisations in different parts of Norway. According to the theoretical framework of institutional logic, representatives' statements are embedded with organisational understandings. In the analysis, we systematically assessed the representatives' different understandings of self-management support. The institutional logic we identified revealed traits of organisational historical backgrounds, and transitions in understanding. We found that the merging of individualism and fellowship in contemporary health policy generates different types of logic in different organisational contexts. The private for-profit organisations were concerned with the logic of a healthy appearance and mindset, whereas the private non-profit organisations emphasised fellowship and moral responsibility. Finally, the public, illness-oriented organisations tended to highlight individual conditions for illness management. Different types of logic may attract different users, and simultaneously, a diversity of logic types may challenge collaboration at the user's expense. Moral implications embed institutional logic implying a change towards individual responsibility for disease. Policy makers ought to consider complexities of logic in order to tailor the different needs of users. © 2015 John Wiley & Sons Ltd.

Who is buying bioethics research?

PubMed

Sharp, Richard R; Scott, Angela L; Landy, David C; Kicklighter, Laura A

2008-08-01

Growing ties to private industry have prompted many to question the impartiality of academic bioethicists who receive financial support from for-profit corporations in exchange for ethics-related services and research. To the extent that corporate sponsors may view bioethics as little more than a way to strengthen public relations or avoid potential controversy, close ties to industry may pose serious threats to professional independence. New sources of support from private industry may also divert bioethicists from pursuing topics of greater social importance, such as the needs of medically underserved communities. To inform ongoing debates about the financing of bioethics and its transparency to those concerned about potential sources of bias, we examined funding disclosures appearing in original research reports in major bioethics journals. Reviewing research published over a 15-year period, we found little evidence that for-profit corporations are influencing bioethics research directly. Instead, we found evidence that a great number of organizations, both public and private, support bioethics research. These findings suggest that worries about the cooption of bioethics research by a few interested stakeholders are greatly overstated and undersupported by available data.

The Collaboration Challenge: Global Partnerships to Achieve Global Goals.

PubMed

Bzdak, Michael

2017-01-01

As capitalism is being re-invented and the voices of multiple stakeholders are becoming more prevalent and demanding, it is the perfect time for the private sector to embrace large-scale collaboration and a shared sense of purpose. Since the explosive growth of Corporate Social Responsibility (CSR) in the 1990s, a new era of responsibility, purpose and a re-envisioned capitalism are dramatically apparent. Beyond financial support, business leaders have the opportunity to galvanize networks, advocate for regulation and policy change, and form supporting consortia to support global development. The role of the private sector in development has changed significantly from a model of benevolent contributor to a model of collaborator, investor, business partner and exponential value creator. The new era of collaboration should move beyond a shared value mindset to new models of partnership where each contributor plays an equal role in defining challenges and designing solutions with the greater goal of sustainable value creation. Non-Governmental Organizations (NGOs) have the unprecedented opportunity to take leadership roles in engaging the private sector in more game-changing collaborations.

First experience of vectorizing electromagnetic physics models for detector simulation

NASA Astrophysics Data System (ADS)

Amadio, G.; Apostolakis, J.; Bandieramonte, M.; Bianchini, C.; Bitzes, G.; Brun, R.; Canal, P.; Carminati, F.; de Fine Licht, J.; Duhem, L.; Elvira, D.; Gheata, A.; Jun, S. Y.; Lima, G.; Novak, M.; Presbyterian, M.; Shadura, O.; Seghal, R.; Wenzel, S.

2015-12-01

The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. The GeantV vector prototype for detector simulations has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. The characteristics of these architectures are very different in terms of the vectorization depth, parallelization needed to achieve optimal performance or memory access latency and speed. An additional challenge is to avoid the code duplication often inherent to supporting heterogeneous platforms. In this paper we present the first experience of vectorizing electromagnetic physics models developed for the GeantV project.

Public and private funding of general practice services for children and adolescents in New Zealand.

PubMed

Dovey, Susan; Tilyard, Murray; Cunningham, Wayne; Williamson, Martyn

2011-11-01

To measure public and private funding of general practice services for New Zealand children. Computerized records from 111 general practices provided private payments for 118,905 general practice services to children aged 6-17 years. Government subsidies and public insurance payments provided public funding amounts for seven services. Overall and for each service we estimated the ratio of public:private payments (RPPP). 64.0% of annual expenditure was public, 36.0% private, (RPPP=1:0.56). General medical consultations were 67.2% of services (RPPP=1:0.57); 15.3% were injury-related (RPPP=1:0.36); 5.2% were prescribing services (all private); 4.9% were immunizations (RPPP=1:0.12); 2.9% were nursing (RPPP=1:1.33); 4.4% were administration (all private); and 0.1% were for maternity care (RPPP=1:0.007). Before capitation funding, public and private funding levels for general medical consultations were similar (RPPP=1:0.93) but after capitation public payments more than doubled (RPPP=1:0.40). There is a complex of pattern of public and private payments for general practice services for children and adolescents in New Zealand. Both funding sources are critical. Capitation funding changed the balance substantially but did not remove ongoing reliance on private funding to support general practice care for children. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Vector-Based Data Services for NASA Earth Science

NASA Astrophysics Data System (ADS)

Rodriguez, J.; Roberts, J. T.; Ruvane, K.; Cechini, M. F.; Thompson, C. K.; Boller, R. A.; Baynes, K.

2016-12-01

Vector data sources offer opportunities for mapping and visualizing science data in a way that allows for more customizable rendering and deeper data analysis than traditional raster images, and popular formats like GeoJSON and Mapbox Vector Tiles allow diverse types of geospatial data to be served in a high-performance and easily consumed-package. Vector data is especially suited to highly dynamic mapping applications and visualization of complex datasets, while growing levels of support for vector formats and features in open-source mapping clients has made utilizing them easier and more powerful than ever. NASA's Global Imagery Browse Services (GIBS) is working to make NASA data more easily and conveniently accessible than ever by serving vector datasets via GeoJSON, Mapbox Vector Tiles, and raster images. This presentation will review these output formats, the services, including WFS, WMS, and WMTS, that can be used to access the data, and some ways in which vector sources can be utilized in popular open-source mapping clients like OpenLayers. Lessons learned from GIBS' recent move towards serving vector will be discussed, as well as how to use GIBS open source software to create, configure, and serve vector data sources using Mapserver and the GIBS OnEarth Apache module.

Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey.

PubMed

Brown, Paul; Panattoni, Laura; Cameron, Linda; Knox, Stephanie; Ashton, Toni; Tenbensel, Tim; Windsor, John

2015-09-01

This study uses a discrete choice experiment (DCE) to measure patients' preferences for public and private hospital care in New Zealand. A labeled DCE was administered to 583 members of the general public, with the choice between a public and private hospital for a non-urgent surgery. The results suggest that cost of surgery, waiting times for surgery, option to select a surgeon, convenience, and conditions of the hospital ward are important considerations for patients. The most important determinant of hospital choice was whether it was a public or private hospital, with respondents far more likely to choose a public hospital than a private hospital. The results have implications for government policy toward using private hospitals to clear waiting lists in public hospitals, with these results suggesting the public might not be indifferent to policies that treat private hospitals as substitutes for public hospitals. Copyright © 2015 Elsevier B.V. All rights reserved.

Evidence that explains absence of a latent period for Xylella fastidiosa in its sharpshooter vectors

USDA-ARS?s Scientific Manuscript database

The glassy-winged sharpshooter (GWSS), Homalodisca vitripennis (Germar), and other sharpshooter (Cicadelline) leafhoppers transmit Xylella fastidiosa (Xf), the causative agent of Pierce’s disease of grapevine and other scorch diseases. Past research has supported that vectors have virtually no late...

Statistical learning algorithms for identifying contrasting tillage practices with landsat thematic mapper data

USDA-ARS?s Scientific Manuscript database

Tillage management practices have direct impact on water holding capacity, evaporation, carbon sequestration, and water quality. This study examines the feasibility of two statistical learning algorithms, such as Least Square Support Vector Machine (LSSVM) and Relevance Vector Machine (RVM), for cla...

Application of Classification Models to Pharyngeal High-Resolution Manometry

ERIC Educational Resources Information Center

Mielens, Jason D.; Hoffman, Matthew R.; Ciucci, Michelle R.; McCulloch, Timothy M.; Jiang, Jack J.

2012-01-01

Purpose: The authors present 3 methods of performing pattern recognition on spatiotemporal plots produced by pharyngeal high-resolution manometry (HRM). Method: Classification models, including the artificial neural networks (ANNs) multilayer perceptron (MLP) and learning vector quantization (LVQ), as well as support vector machines (SVM), were…

A Language-Independent Approach to Automatic Text Difficulty Assessment for Second-Language Learners

DTIC Science & Technology

2013-08-01

best-suited for regression. Our baseline uses z-normalized shallow length features and TF -LOG weighted vectors on bag-of-words for Arabic, Dari...length features and TF -LOG weighted vectors on bag-of-words for Arabic, Dari, English and Pashto. We compare Support Vector Machines and the Margin...football, whereas they are much less common in documents about opera). We used TF -LOG weighted word frequencies on bag-of-words for each document

Two Swedish screening instruments for exhaustion disorder: cross-sectional associations with burnout, work stress, private life stress, and personality traits.

PubMed

Persson, Roger; Österberg, Kai; Viborg, Njördur; Jönsson, Peter; Tenenbaum, Artur

2017-06-01

To examine the relationships of two screening instruments recently developed for assessment of exhaustion disorder (ED) with some other well-known inventories intended to assess ED-related concepts and self-reports of job demands, job control, job support, private life stressors, and personality factors. A cross-sectional population sample ( n = 1355) completed: the Karolinska Exhaustion Disorder Scale (KEDS), Self-reported Exhaustion Disorder Scale (s-ED), Shirom-Melamed Burnout Questionnaire (SMBQ), Utrecht Work Engagement Scale (UWES-9), Job Content Questionnaire (JCQ), Big Five Inventory (BFI), and items concerning family-to-work interference and stress in private life. Compared to participants without any indication of ED, participants classified as having ED on KEDS or s-ED had higher scores on all four SMBQ subscales, lower scores on the UWES-9 subscales vigor and dedication, higher JCQ job demands scores, lower JCQ job support scores, higher degrees of family-to-work interference and stress in private life, and higher BFI neuroticism and openness scores. In addition, participants classified as having ED on KEDS had lower scores on the UWES-9 absorption subscale, the JCQ job control scale, and lower BFI extraversion, agreeableness and conscientiousness scores, compared to the subgroup not classified as having ED. As expected, we observed an overall pattern of associations between the ED screening inventories KEDS and s-ED and measures of burnout, work engagement, job demands-control-support, stress in private life, family-to-work interference, and personality factors. The results suggest that instruments designed to assess burnout, work engagement, and ED share common ground, despite their conceptual differences.

Odd Man Out: How Government Supports Private-Sector Innovation, Except in Education. Private Enterprise in American Education. Special Report 3

ERIC Educational Resources Information Center

Bailey, John

2011-01-01

For decades, for-profit educational provision has been merely tolerated, often grudgingly. In the world of charter schooling, for-profit providers are lambasted and sometimes prohibited. In higher education, for-profit institutions have grown rapidly, enrolling millions of nontraditional students and earning enmity, suspicion, and now…

Designing Graduate-Level Plant Breeding Curriculum: A Delphi Study of Private Sector Stakeholder Opinions

ERIC Educational Resources Information Center

Miller, Jane K.; Repinski, Shelby L.; Hayes, Kathryn N.; Bliss, Frederick A.; Trexler, Cary J.

2011-01-01

A broad-based survey using the Delphi method was conducted to garner current information from private sector stakeholders and build consensus opinions supporting key ideas for enhancing plant breeder education and training. This study asked respondents to suggest and rate topics and content they deemed most important to plant breeding graduate…

Promoting Effective Assessment for Learning Methods to Increase Student Motivation in Schools in India

ERIC Educational Resources Information Center

Panesar-Aguilar, Sunddip; Aguilar, Erick

2017-01-01

This qualitative study explored how using effective assessment can engage learners and motivate student learning in the Dehradun, Noida, Delhi, and Trivandrum regions in India. The study randomly sampled 26 teachers from six private schools. Private schools were used in this study since such schools allot substantial funds to support ongoing…

Reaching Common Ground: Advancing Business Participation in Restructuring Education. Supporting Leaders for Tomorrow, Occasional Paper #6.

ERIC Educational Resources Information Center

Siegel, Peggy M.; Smoley, Eugene R., Jr.

The differences and similarities between education and the private sector are analyzed as they both engage in efforts to fundamentally restructure their operations. To bridge the cultural gap between business and education, a workable strategy that advances direct and sustained private-sector involvement in education reform is proposed. Part 1 of…

Public Money and Private Providers: Funding Channels and National Patterns in Four Countries

ERIC Educational Resources Information Center

Salerno, Carlo

2004-01-01

A rich body of literature has emerged that seeks to shed further light on how concepts like globalization and internationalization shape higher education systems and their institutions. This paper examines how the rise of private higher education in various national contexts has engendered global patterns of public financial support for private…

Cross-Sector Research Associated with Nutrition: Comparison of Private and Public Schools on Health Indicators.

ERIC Educational Resources Information Center

Munoz, Marco A.

Healthy People 2010 is the initiative that defines the U.S. health agenda and guides policy. The initiative provides direction for individuals to change personal behaviors and for organizations and communities to support good health through health promotion policies. The objective of this research was to compare public and private schools on…

Cooperation as a Strategy for Rural Economic Development. Rural Research Report. Volume 19, Issue 2, Spring 2008

ERIC Educational Resources Information Center

Kuhn, Bill

2008-01-01

Cooperative behaviors among private investors, local entities and a county can create significant efficiencies and resources to achieve a countywide vision. A county willing to take on this leadership role can provide technology and creates incentives for cooperation, supports opportunistic action, and regulates a balance between private sector…

Private Giving and State Funding of Maryland's Public Institutions: New Perspectives on Support of Historically Black Institutions

ERIC Educational Resources Information Center

Cox, John L.

2010-01-01

College leaders and policymakers benefit by understanding the relationship between increases in private giving, changes in state appropriations and how to position the institution to maximize both sources of revenue. Anecdotal and attitudinal studies suggested that fundraising success may affect state funding of higher education institutions.…

A Case Study of Private Schools in Kibera: An Update

ERIC Educational Resources Information Center

Dixon, Pauline; Tooley, James

2012-01-01

This article provides an update on our earlier paper on the introduction by the Kenyan government in 2003 of free primary education (FPE), and its impact on low-fee private schools. First, published papers that have used our contribution as a springboard for discussion are critically reviewed. The argument and supporting evidence that the poor are…

Assessment in the Private Studio Setting: Supporting Student Learning, Providing Effective Instruction, and Building Faculty-Student Interaction

ERIC Educational Resources Information Center

Laubenthal, Jennifer

2018-01-01

A significant amount of literature exists about how to design and implement an effective assessment process for students in a music program, specifically in the classroom setting. This article suggests a framework for incorporating individualized assessment in the private-lesson setting based on effective classroom assessment practices. Many…

Cross-National Impacts of Public-Private Partnerships on Equitable Student Achievement: A Quasi-Experimental Assessment Using PISA 2009

ERIC Educational Resources Information Center

Baum, Donald Rey

2013-01-01

Public-private partnerships are being increasingly supported and advocated for, ideologically and financially, as an approach to educational reform in many countries across the world. Proponents suggest that non-state involvement in the education sector has the potential to bolster international Education for All efforts, improve school…

The Effects of Catholic Schooling on Civic Participation. CIRCLE Working Paper 09

ERIC Educational Resources Information Center

Dee, Thomas S.

2003-01-01

The United States has an extensive network of publicly financed and managed schools and provides almost no financial support to private schools. One of the most fundamental justifications for the status quo is the hypothesis that the regulation of private schools cannot adequately ensure that the desired social benefits of schooling will be…

Taking Stock of Private-School Choice: Scholars Review the Research on Statewide Programs

ERIC Educational Resources Information Center

Wolf, Patrick J.; Harris, Douglas N.; Berends, Mark; Waddington, R. Joseph; Austin, Megan

2018-01-01

In the past few years, four states have established programs that provide public financial support to students who choose to attend a private school. These programs--a tax-credit-funded scholarship initiative in Florida and voucher programs in Indiana, Louisiana, and Ohio--offer a glimpse of what expansive statewide choice might look like. What…

Motivation, Organisational Support and Satisfaction with Life for Private Sector Teachers in Brazilian Higher Education

ERIC Educational Resources Information Center

Pauli, Jandir; Chambel, Maria José; Capellari, Márcia Rodrigues; Rissi, Vanessa

2018-01-01

This research aims to investigate the organisational factors that influence the motivation to work and their consequences on health perception and satisfaction with life for teachers in private Higher Education institutions. The study has emerged as a result of the need to understand the teaching profession in Brazil since the implementation of…

Examining Data-Driven Decision Making in Private/Religious Schools

ERIC Educational Resources Information Center

Hanks, Jason Edward

2011-01-01

The purpose of this study was to investigate non-mandated data-driven decision making in private/religious schools. The school culture support of data use, teacher use of data, leader facilitation of using data, and the availability of data were investigated in three schools. A quantitative survey research design was used to explore the research…

Profiles of Public-Private Partnerships for Child Care. The Child Care Partnership Project.

ERIC Educational Resources Information Center

Finance Project, Washington, DC.

The profiles of programs collected in this report were developed as part of the Child Care Partnership Project, a multi-year technical assistance effort. The Partnership Project provides a series of technical assistance resources and materials to support the development and strengthening of public-private partnerships to improve the quality and…

Support Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures.

PubMed

Arana-Daniel, Nancy; Gallegos, Alberto A; López-Franco, Carlos; Alanís, Alma Y; Morales, Jacob; López-Franco, Adriana

2016-01-01

With the increasing power of computers, the amount of data that can be processed in small periods of time has grown exponentially, as has the importance of classifying large-scale data efficiently. Support vector machines have shown good results classifying large amounts of high-dimensional data, such as data generated by protein structure prediction, spam recognition, medical diagnosis, optical character recognition and text classification, etc. Most state of the art approaches for large-scale learning use traditional optimization methods, such as quadratic programming or gradient descent, which makes the use of evolutionary algorithms for training support vector machines an area to be explored. The present paper proposes an approach that is simple to implement based on evolutionary algorithms and Kernel-Adatron for solving large-scale classification problems, focusing on protein structure prediction. The functional properties of proteins depend upon their three-dimensional structures. Knowing the structures of proteins is crucial for biology and can lead to improvements in areas such as medicine, agriculture and biofuels.

Extraction of inland Nypa fruticans (Nipa Palm) using Support Vector Machine

NASA Astrophysics Data System (ADS)

Alberto, R. T.; Serrano, S. C.; Damian, G. B.; Camaso, E. E.; Biagtan, A. R.; Panuyas, N. Z.; Quibuyen, J. S.

2017-09-01

Mangroves are considered as one of the major habitats in coastal ecosystem, providing a lot of economic and ecological services in human society. Nypa fruticans (Nipa palm) is one of the important species of mangroves because of its versatility and uniqueness as halophytic palm. However, nipas are not only adaptable in saline areas, they can also managed to thrive away from the coastline depending on the favorable soil types available in the area. Because of this, mapping of this species are not limited alone in the near shore areas, but in areas where this species are present as well. The extraction process of Nypa fruticans were carried out using the available LiDAR data. Support Vector Machine (SVM) classification process was used to extract nipas in inland areas. The SVM classification process in mapping Nypa fruticans produced high accuracy of 95+%. The Support Vector Machine classification process to extract inland nipas was proven to be effective by utilizing different terrain derivatives from LiDAR data.

Distributed collaborative probabilistic design for turbine blade-tip radial running clearance using support vector machine of regression

NASA Astrophysics Data System (ADS)

Fei, Cheng-Wei; Bai, Guang-Chen

2014-12-01

To improve the computational precision and efficiency of probabilistic design for mechanical dynamic assembly like the blade-tip radial running clearance (BTRRC) of gas turbine, a distribution collaborative probabilistic design method-based support vector machine of regression (SR)(called as DCSRM) is proposed by integrating distribution collaborative response surface method and support vector machine regression model. The mathematical model of DCSRM is established and the probabilistic design idea of DCSRM is introduced. The dynamic assembly probabilistic design of aeroengine high-pressure turbine (HPT) BTRRC is accomplished to verify the proposed DCSRM. The analysis results reveal that the optimal static blade-tip clearance of HPT is gained for designing BTRRC, and improving the performance and reliability of aeroengine. The comparison of methods shows that the DCSRM has high computational accuracy and high computational efficiency in BTRRC probabilistic analysis. The present research offers an effective way for the reliability design of mechanical dynamic assembly and enriches mechanical reliability theory and method.

Support vector machine firefly algorithm based optimization of lens system.

PubMed

Shamshirband, Shahaboddin; Petković, Dalibor; Pavlović, Nenad T; Ch, Sudheer; Altameem, Torki A; Gani, Abdullah

2015-01-01

Lens system design is an important factor in image quality. The main aspect of the lens system design methodology is the optimization procedure. Since optimization is a complex, nonlinear task, soft computing optimization algorithms can be used. There are many tools that can be employed to measure optical performance, but the spot diagram is the most useful. The spot diagram gives an indication of the image of a point object. In this paper, the spot size radius is considered an optimization criterion. Intelligent soft computing scheme support vector machines (SVMs) coupled with the firefly algorithm (FFA) are implemented. The performance of the proposed estimators is confirmed with the simulation results. The result of the proposed SVM-FFA model has been compared with support vector regression (SVR), artificial neural networks, and generic programming methods. The results show that the SVM-FFA model performs more accurately than the other methodologies. Therefore, SVM-FFA can be used as an efficient soft computing technique in the optimization of lens system designs.

Using Support Vector Machines to Automatically Extract Open Water Signatures from POLDER Multi-Angle Data Over Boreal Regions

NASA Technical Reports Server (NTRS)

Pierce, J.; Diaz-Barrios, M.; Pinzon, J.; Ustin, S. L.; Shih, P.; Tournois, S.; Zarco-Tejada, P. J.; Vanderbilt, V. C.; Perry, G. L.; Brass, James A. (Technical Monitor)

2002-01-01

This study used Support Vector Machines to classify multiangle POLDER data. Boreal wetland ecosystems cover an estimated 90 x 10(exp 6) ha, about 36% of global wetlands, and are a major source of trace gases emissions to the atmosphere. Four to 20 percent of the global emission of methane to the atmosphere comes from wetlands north of 4 degrees N latitude. Large uncertainties in emissions exist because of large spatial and temporal variation in the production and consumption of methane. Accurate knowledge of the areal extent of open water and inundated vegetation is critical to estimating magnitudes of trace gas emissions. Improvements in land cover mapping have been sought using physical-modeling approaches, neural networks, and active microwave, examples that demonstrate the difficulties of separating open water, inundated vegetation and dry upland vegetation. Here we examine the feasibility of using a support vector machine to classify POLDER data representing open water, inundated vegetation and dry upland vegetation.

Color image segmentation with support vector machines: applications to road signs detection.

PubMed

Cyganek, Bogusław

2008-08-01

In this paper we propose efficient color segmentation method which is based on the Support Vector Machine classifier operating in a one-class mode. The method has been developed especially for the road signs recognition system, although it can be used in other applications. The main advantage of the proposed method comes from the fact that the segmentation of characteristic colors is performed not in the original but in the higher dimensional feature space. By this a better data encapsulation with a linear hypersphere can be usually achieved. Moreover, the classifier does not try to capture the whole distribution of the input data which is often difficult to achieve. Instead, the characteristic data samples, called support vectors, are selected which allow construction of the tightest hypersphere that encloses majority of the input data. Then classification of a test data simply consists in a measurement of its distance to a centre of the found hypersphere. The experimental results show high accuracy and speed of the proposed method.

Prediction of B-cell linear epitopes with a combination of support vector machine classification and amino acid propensity identification.

PubMed

Wang, Hsin-Wei; Lin, Ya-Chi; Pai, Tun-Wen; Chang, Hao-Teng

2011-01-01

Epitopes are antigenic determinants that are useful because they induce B-cell antibody production and stimulate T-cell activation. Bioinformatics can enable rapid, efficient prediction of potential epitopes. Here, we designed a novel B-cell linear epitope prediction system called LEPS, Linear Epitope Prediction by Propensities and Support Vector Machine, that combined physico-chemical propensity identification and support vector machine (SVM) classification. We tested the LEPS on four datasets: AntiJen, HIV, a newly generated PC, and AHP, a combination of these three datasets. Peptides with globally or locally high physicochemical propensities were first identified as primitive linear epitope (LE) candidates. Then, candidates were classified with the SVM based on the unique features of amino acid segments. This reduced the number of predicted epitopes and enhanced the positive prediction value (PPV). Compared to four other well-known LE prediction systems, the LEPS achieved the highest accuracy (72.52%), specificity (84.22%), PPV (32.07%), and Matthews' correlation coefficient (10.36%).

Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach

NASA Technical Reports Server (NTRS)

Das, Santanu; Oza, Nikunj C.

2011-01-01

In this paper we propose an innovative learning algorithm - a variation of One-class nu Support Vector Machines (SVMs) learning algorithm to produce sparser solutions with much reduced computational complexities. The proposed technique returns an approximate solution, nearly as good as the solution set obtained by the classical approach, by minimizing the original risk function along with a regularization term. We introduce a bi-criterion optimization that helps guide the search towards the optimal set in much reduced time. The outcome of the proposed learning technique was compared with the benchmark one-class Support Vector machines algorithm which more often leads to solutions with redundant support vectors. Through out the analysis, the problem size for both optimization routines was kept consistent. We have tested the proposed algorithm on a variety of data sources under different conditions to demonstrate the effectiveness. In all cases the proposed algorithm closely preserves the accuracy of standard one-class nu SVMs while reducing both training time and test time by several factors.

Template protection and its implementation in 3D face recognition systems

NASA Astrophysics Data System (ADS)

Zhou, Xuebing

2007-04-01

As biometric recognition systems are widely applied in various application areas, security and privacy risks have recently attracted the attention of the biometric community. Template protection techniques prevent stored reference data from revealing private biometric information and enhance the security of biometrics systems against attacks such as identity theft and cross matching. This paper concentrates on a template protection algorithm that merges methods from cryptography, error correction coding and biometrics. The key component of the algorithm is to convert biometric templates into binary vectors. It is shown that the binary vectors should be robust, uniformly distributed, statistically independent and collision-free so that authentication performance can be optimized and information leakage can be avoided. Depending on statistical character of the biometric template, different approaches for transforming biometric templates into compact binary vectors are presented. The proposed methods are integrated into a 3D face recognition system and tested on the 3D facial images of the FRGC database. It is shown that the resulting binary vectors provide an authentication performance that is similar to the original 3D face templates. A high security level is achieved with reasonable false acceptance and false rejection rates of the system, based on an efficient statistical analysis. The algorithm estimates the statistical character of biometric templates from a number of biometric samples in the enrollment database. For the FRGC 3D face database, the small distinction of robustness and discriminative power between the classification results under the assumption of uniquely distributed templates and the ones under the assumption of Gaussian distributed templates is shown in our tests.

Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India

NASA Astrophysics Data System (ADS)

Kumar, Deepak; Thakur, Manoj; Dubey, Chandra S.; Shukla, Dericks P.

2017-10-01

In recent years, various machine learning techniques have been applied for landslide susceptibility mapping. In this study, three different variants of support vector machine viz., SVM, Proximal Support Vector Machine (PSVM) and L2-Support Vector Machine - Modified Finite Newton (L2-SVM-MFN) have been applied on the Mandakini River Basin in Uttarakhand, India to carry out the landslide susceptibility mapping. Eight thematic layers such as elevation, slope, aspect, drainages, geology/lithology, buffer of thrusts/faults, buffer of streams and soil along with the past landslide data were mapped in GIS environment and used for landslide susceptibility mapping in MATLAB. The study area covering 1625 km2 has merely 0.11% of area under landslides. There are 2009 pixels for past landslides out of which 50% (1000) landslides were considered as training set while remaining 50% as testing set. The performance of these techniques has been evaluated and the computational results show that L2-SVM-MFN obtains higher prediction values (0.829) of receiver operating characteristic curve (AUC-area under the curve) as compared to 0.807 for PSVM model and 0.79 for SVM. The results obtained from L2-SVM-MFN model are found to be superior than other SVM prediction models and suggest the usefulness of this technique to problem of landslide susceptibility mapping where training data is very less. However, these techniques can be used for satisfactory determination of susceptible zones with these inputs.

Improvements on ν-Twin Support Vector Machine.

PubMed

Khemchandani, Reshma; Saigal, Pooja; Chandra, Suresh

2016-07-01

In this paper, we propose two novel binary classifiers termed as "Improvements on ν-Twin Support Vector Machine: Iν-TWSVM and Iν-TWSVM (Fast)" that are motivated by ν-Twin Support Vector Machine (ν-TWSVM). Similar to ν-TWSVM, Iν-TWSVM determines two nonparallel hyperplanes such that they are closer to their respective classes and are at least ρ distance away from the other class. The significant advantage of Iν-TWSVM over ν-TWSVM is that Iν-TWSVM solves one smaller-sized Quadratic Programming Problem (QPP) and one Unconstrained Minimization Problem (UMP); as compared to solving two related QPPs in ν-TWSVM. Further, Iν-TWSVM (Fast) avoids solving a smaller sized QPP and transforms it as a unimodal function, which can be solved using line search methods and similar to Iν-TWSVM, the other problem is solved as a UMP. Due to their novel formulation, the proposed classifiers are faster than ν-TWSVM and have comparable generalization ability. Iν-TWSVM also implements structural risk minimization (SRM) principle by introducing a regularization term, along with minimizing the empirical risk. The other properties of Iν-TWSVM, related to support vectors (SVs), are similar to that of ν-TWSVM. To test the efficacy of the proposed method, experiments have been conducted on a wide range of UCI and a skewed variation of NDC datasets. We have also given the application of Iν-TWSVM as a binary classifier for pixel classification of color images. Copyright © 2016 Elsevier Ltd. All rights reserved.

Novel solutions for an old disease: diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks.

PubMed

Hsieh, Chung-Ho; Lu, Ruey-Hwa; Lee, Nai-Hsin; Chiu, Wen-Ta; Hsu, Min-Huei; Li, Yu-Chuan Jack

2011-01-01

Diagnosing acute appendicitis clinically is still difficult. We developed random forests, support vector machines, and artificial neural network models to diagnose acute appendicitis. Between January 2006 and December 2008, patients who had a consultation session with surgeons for suspected acute appendicitis were enrolled. Seventy-five percent of the data set was used to construct models including random forest, support vector machines, artificial neural networks, and logistic regression. Twenty-five percent of the data set was withheld to evaluate model performance. The area under the receiver operating characteristic curve (AUC) was used to evaluate performance, which was compared with that of the Alvarado score. Data from a total of 180 patients were collected, 135 used for training and 45 for testing. The mean age of patients was 39.4 years (range, 16-85). Final diagnosis revealed 115 patients with and 65 without appendicitis. The AUC of random forest, support vector machines, artificial neural networks, logistic regression, and Alvarado was 0.98, 0.96, 0.91, 0.87, and 0.77, respectively. The sensitivity, specificity, positive, and negative predictive values of random forest were 94%, 100%, 100%, and 87%, respectively. Random forest performed better than artificial neural networks, logistic regression, and Alvarado. We demonstrated that random forest can predict acute appendicitis with good accuracy and, deployed appropriately, can be an effective tool in clinical decision making. Copyright © 2011 Mosby, Inc. All rights reserved.

Is family-friendly policy (FFP) working in the private sector of South Korea?

PubMed

Kang, Young-Hee

2013-01-01

Using the Korean Labor and Income Panel Study (KLIPS), I investigated the impact of family-friendly policies (FFPs) on job satisfaction and organizational commitment in the private sector of South Korea. Paid leave, childcare leave, and support for housing are positively related to both job satisfaction and organizational commitment. Sick leave is positively related to organizational commitment. However, subsidized family event cost is a marginally significant predictor of job satisfaction and organizational commitment. In addition, the relationships between subsidized childcare cost and employee attitudes were not supported. Implications and suggestions for future research are discussed.

New EVSE Analytical Tools/Models: Electric Vehicle Infrastructure Projection Tool (EVI-Pro)

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

Wood, Eric W; Rames, Clement L; Muratori, Matteo

This presentation addresses the fundamental question of how much charging infrastructure is needed in the United States to support PEVs. It complements ongoing EVSE initiatives by providing a comprehensive analysis of national PEV charging infrastructure requirements. The result is a quantitative estimate for a U.S. network of non-residential (public and workplace) EVSE that would be needed to support broader PEV adoption. The analysis provides guidance to public and private stakeholders who are seeking to provide nationwide charging coverage, improve the EVSE business case by maximizing station utilization, and promote effective use of private/public infrastructure investments.

Compliance and support for smoke-free school policies.

PubMed

Trinidad, D R; Gilpin, E A; Pierce, J P

2005-08-01

Our objective was to examine factors associated with compliance and support for a smoke-free campus before and after a 1995 campus-wide smoking ban for everyone, including teachers and visitors, in California. Adolescent (12-17 years) data from the 1993, 1996, 1999 and 2002 (N approximately 6000 each year) California Tobacco Surveys (population-based telephone surveys) were analyzed. Trends in compliance with smoke-free school policies and support for smoke-free campuses were examined among students in public and private schools. Perceived compliance with the no-smoking rule by most or all student smokers increased from 43.7 +/- 1.6% in 1993 to 71.5 +/- 1.4% in 2002. While non-smokers have overwhelmingly favored smoke-free school grounds since 1993 (more than 85% each survey year), support among current smokers increased from 55.8 +/- 4.7% in 1996 to 69.1 +/- 6.8% in 2002. Student smokers who saw teachers smoking in school were less likely to favor school smoking bans (odds ratio = 0.25, 95% confidence interval 0.12-0.49). The percentage of private school students seeing teachers smoke on school grounds has been at least twice that of public school students since 1996. Compliance with and support for smoke-free schools increased since smoking was banned on campus for everyone. Perceived compliance by teachers, much lower in private schools, appears to undermine student smokers' support of this policy. Increased efforts are necessary to communicate to teachers the importance of their modeling of policy compliance to students.

Clinical Trials Using Anti-CD19/CD28/CD3zeta CAR Gammaretroviral Vector-transduced Autologous T Lymphocytes KTE-C19

Cancer.gov

NCI supports clinical trials that test new and more effective ways to treat cancer. Find clinical trials studying anti-cd19/cd28/cd3zeta car gammaretroviral vector-transduced autologous t lymphocytes kte-c19.

Elucidating the Potential of Plant Rhabdoviruses as Vector Expressions Systems

USDA-ARS?s Scientific Manuscript database

Maize fine streak virus (MFSV) is a member of the genus Nucleorhabdovirus that is transmitted by the leafhopper Graminella nigrifons. The virus replicates in both its maize host and its insect vector. To determine whether Drosophila S2 cells support the production of full-length MFSV proteins, we ...

Exploring the cost and value of private versus shared bedrooms in nursing homes.

PubMed

Calkins, Margaret; Cassella, Christine

2007-04-01

There is debate about the relative merits and costs of private versus shared bedrooms in nursing homes, particularly in light of the current efforts at creating both cost-efficient and person-centered care facilities. The purpose of this project was to explore the extent to which there is evidence-based information that supports the merits of three different bedroom configurations: traditional shared, enhanced shared, and private. We developed a framework of four broad domains that were related to the different bedroom configurations: psychosocial, clinical, operational, and construction or building factors. Within each dimension, we identified individual factors through the literature, interviews, and focus groups, with the goal of determining the breadth, depth, and quality of evidence supporting the benefits of one configuration over another. The vast majority of factors identified in this study, regardless of whether there was solid empirical data, information from the focus groups, or other anecdotal evidence, indicated better outcomes associated with private rooms over shared rooms in nursing homes. Cost estimates suggest that construction cost (plus debt service) differences range from roughly $20,506 per bed for a traditional shared room to $36,515 for a private one, and that such differences are recouped in less than 2 years if beds are occupied, and in less than 3 months if a shared bed remains unoccupied at average private-pay room costs. Despite limited empirical evidence in some areas, this project provides the foundation for an evidence-based life-cycle costing perspective regarding the relative merits of different bedroom configurations.

[Relations between official and private veterinary services in epidemiology and the control of contagious diseases].

PubMed

Moura, J A; Bedoya, M; Agudelo, M P

2004-04-01

Growing budget restrictions in many countries have meant that official Veterinary Services cannot assume responsibility for any new activities. The natural reaction is to turn to private veterinary services to provide the support needed to strengthen the control and surveillance of priority diseases and thereby support the development of the livestock sector and the establishment of safe international trade. In this context, official Veterinary Services must work together with private veterinarians, delegating various technical animal health activities, so that they may focus their efforts on those tasks that cannot be delegated: standardisation, control, auditing, general system co-ordination, epidemiological surveillance, etc., as well as organising veterinary policy in order to make best use of budget resources. For these relations to be efficient, a dynamic, two-way epidemiological information mechanism must be created, whereby private veterinarians periodically keep governments informed, on the basis of an agreed methodology. Moreover, the official Veterinary Services must systematically transmit information on List A and B diseases of the OIE (World organisation for animal health), and perform detailed analyses of epidemiologically significant events. The article proposes the establishment of relations between public and private veterinary services as a way in which to provide the livestock sector with the health and hygiene conditions that are necessary for effective disease control, which in turn provides greater security for international trade and increased consumer protection.

Perspective: The Alzheimer's Disease Neuroimaging Initiative and the role and contributions of the Private Partner Scientific Board (PPSB).

PubMed

Liu, Enchi; Luthman, Johan; Cedarbaum, Jesse M; Schmidt, Mark E; Cole, Patricia E; Hendrix, James; Carrillo, Maria C; Jones-Davis, Dorothy; Tarver, Erika; Novak, Gerald; De Santi, Susan; Soares, Holly D; Potter, William Z; Siemers, Eric; Schwarz, Adam J

2015-07-01

The Alzheimer's Disease Neuroimaging Initiative (ADNI) Private Partner Scientific Board (PPSB) is comprised of representatives of private, for-profit entities (including pharmaceutical, biotechnology, diagnostics, imaging companies, and imaging contract research organizations), and nonprofit organizations that provide financial and scientific support to ADNI through the Foundation for the National Institutes of Health. The PPSB serves as an independent, open, and precompetitive forum in which all private sector and not-for-profit partners in ADNI can collaborate, share information, and offer scientific and private-sector perspectives and expertise on issues relating to the ADNI project. In this article, we review and highlight the role, activities, and contributions of the PPSB within the ADNI project, and provide a perspective on remaining unmet needs and future directions. Copyright © 2015 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Clinicians, security and information technology support services in practice settings--a pilot study.

PubMed

Fernando, Juanita

2010-01-01

This case study of 9 information technology (IT) support staff in 3 Australian (Victoria) public hospitals juxtaposes their experiences at the user-level of eHealth security in the Natural Hospital Environment with that previously reported by 26 medical, nursing and allied healthcare clinicians. IT support responsibilities comprised the entire hospital, of which clinician eHealth security needs were only part. IT staff believed their support tasks were often fragmented while work responsibilities were hampered by resources shortages. They perceived clinicians as an ongoing security risk to private health information. By comparison clinicians believed IT staff would not adequately support the private and secure application of eHealth for patient care. Preliminary data analysis suggests the tension between these cohorts manifests as an eHealth environment where silos of clinical work are disconnected from silos of IT support work. The discipline-based silos hamper health privacy outcomes. Privacy and security policies, especially those influencing the audit process, will benefit by further research of this phenomenon.

45 CFR 303.31 - Securing and enforcing medical support obligations.

Code of Federal Regulations, 2010 CFR

2010-10-01

... dependent child(ren). (3) Cash medical support or the cost of private health insurance is considered... support obligations. (a) For purposes of this section: (1) Cash medical support means an amount ordered to be paid toward the cost of health insurance provided by a public entity or by another parent through...

The Financing of Media Projects for Development.

ERIC Educational Resources Information Center

Spain, Peter L.

1978-01-01

Discusses the financing of Third World media projects that are designed for development, and reports on five main sources of funding--government sources, international agencies, advertising sales, private local support, and self-support. (Author/JEG)

Vectorization and parallelization of the finite strip method for dynamic Mindlin plate problems

NASA Technical Reports Server (NTRS)

Chen, Hsin-Chu; He, Ai-Fang

1993-01-01

The finite strip method is a semi-analytical finite element process which allows for a discrete analysis of certain types of physical problems by discretizing the domain of the problem into finite strips. This method decomposes a single large problem into m smaller independent subproblems when m harmonic functions are employed, thus yielding natural parallelism at a very high level. In this paper we address vectorization and parallelization strategies for the dynamic analysis of simply-supported Mindlin plate bending problems and show how to prevent potential conflicts in memory access during the assemblage process. The vector and parallel implementations of this method and the performance results of a test problem under scalar, vector, and vector-concurrent execution modes on the Alliant FX/80 are also presented.

From Widowhood to Wickedness: The Politics of Class and Gender in New York City Private Charity, 1799-1860.

ERIC Educational Resources Information Center

Gilman, Amy

1984-01-01

Vast changes took place in urban benevolence toward poor females in the first half of the nineteenth century. Agencies started by upper-class women as private organizations to support needy women became agencies run by salaried, professional, male charity workers whose job it was to train and discipline poor females. (RM)

The role of non-industrial private forest lands in the conservation of southern fire-dependent wildlife

Treesearch

Christopher E. Moorman; Peter T. Bromley; Mark A. Megalos; David Drake

2002-01-01

Although scientific support for fire as a land management tool has grown, non-industrial private forest (NIPF) landowners often fail to burn on their properties. These lands comprise approximately 70 percent of southern forests, making them critical to the long-term conservation of wildlife and plant species. Natural resource professionals must overcome key constraints...

Factors Among Select Donors and Non-Donors Related to Major Gifts to a Private University.

ERIC Educational Resources Information Center

McKinney, Ricardo J.; And Others

A study was conducted at the University of Miami to identify factors that might distinguish between donors and nondonors to the financial support of private universities. The theoretical framework for the study was based largely upon Lecky's self-consistency theory of personality. Three groups of donors and a group of nondonors to the University…

Korean Affairs Report.

DTIC Science & Technology

1987-01-21

Democratic Party’s presidential candidate in 1980, heads the National Rainbow Coalition, a private organization aimed at promoting racial equality in...Political Commission of the American Popular Revolutionary Alliance of Peru , stressed: Our alliance expresses full support to the correct policy of...National Rainbow Coalition, a private organization aimed at promoting racxal equality in the United States. • While in Seoul, Jackson is scheduled to meet

Public and Private Incentives for Investment in Higher Education: Are They Sufficient, Especially for Black Males?

ERIC Educational Resources Information Center

Appiah, Elizabeth N.

2013-01-01

The institutional costs of higher education have been rising. With diminishing public support per student, tuition and fees private costs have also been rising. But so have the real earnings of college graduates. Are there still sufficient incentives on efficiency grounds for additional public investment in higher education? And in particular,…

Challenges of socio-economically evaluating wildfire management on non-industrial private and public forestland in the western United States

Treesearch

Tyron J. Venn; David E. Calkin

2009-01-01

Non-industrial private forests (NIPFs) and public forests in the United States generate many non-market benefits for landholders and society generally. These values can be both enhanced and diminished by wildfire management. This paper considers the challenges of supporting economically efficient allocation of wildfire suppression resources in a social cost-benefit...

Intervention for the collaborative use of Geographic Information Systems by private forest landowners: a meaning-centered perspective

Treesearch

Kirk D. Sinclair; Barbara A. Knuth

2001-01-01

Private forest landowners support the stewardship objectives that can be achieved through ecosystems-based management. However, ecosystems-based management is a data intensive approach that focuses upon the broad forest landscape. Intervention by forestry agents or agencies could help neighboring landowners to collaborate with an ecosystems-based approach in pursuit of...

Exploring the Cost and Value of Private versus Shared Bedrooms in Nursing Homes

ERIC Educational Resources Information Center

Calkins, Margaret; Cassella, Christine

2007-01-01

Purpose: There is debate about the relative merits and costs of private versus shared bedrooms in nursing homes, particularly in light of the current efforts at creating both cost-efficient and person-centered care facilities. The purpose of this project was to explore the extent to which there is evidence-based information that supports the…

RE-DeC, A Unique Private/Public Partnership--A Strategy Design for the '80s.

ERIC Educational Resources Information Center

Fritz, Louis Winfield

Richland County, Ohio has brought together what is generally considered to be the broadest-based private development corporation in the United States. In 1982 a group of bankers and corporate executives made a decision to make a countywide commitment to support one corporate construction exclusively to direct a program and strategy for economic…

Developing and Testing a Mobile Learning Games Framework

ERIC Educational Resources Information Center

Busch, Carsten; Claßnitz, Sabine; Selmanagic,, André; Steinicke, Martin

2015-01-01

In 2010 1.1 million pupils took private lessons in Germany, with 25% of all German children by the age of 17 having attended paid private lessons at some point in their school career (Klemm & Klemm, 2010). The high demand for support for learning curricular content led us to consider an integrated solution that speeds up both the design of…

A Path to Excellence in Public Higher Education in Florida. Report of the Regents' Study Commission on Funding for Excellence.

ERIC Educational Resources Information Center

Florida State Board of Regents, Tallahassee.

A report on creative approaches to educational funding for the Florida University System is presented by the Study Commission on Funding for Excellence. The focus is public finance, management efficiency, and private funding and marketing. Recommendations are offered on: faculty and support staff salaries, public-private partnership, matching…

The hardwood resource on nonindustrial private forest land in the Southeast Piedmont

Treesearch

William A. Bechtold; Douglas R. Phillips

1983-01-01

More than half of the commercial forest land in the Southeast Piedment supports hardwood stands held by small nonindustrial private landowners. Only 21 percent of all NIPF stands are fully stocked with growing-stock trees. Only 37 percent of all hardwood biomass harvested from these stands is currently being utilized. As these stands are harvested, about 39 tons of...

The Private-Public Literacy Divide amid Educational Reform in Qatar: What Does PISA Tell Us?

ERIC Educational Resources Information Center

Cheema, Jehanzeb R.

2015-01-01

The education system in Qatar comprises of both private schools, which receive money through student fees, and public schools, which are fully government-funded. In the mid-2000s, Qatar started its transition towards an independent school model with the aim of eventually converting all public schools into government-supported independent schools.…

Doing the Basics Better in Africa: How School Support, Autonomy, and Accountability Improved Outcomes for Girls in PEAS Schools

ERIC Educational Resources Information Center

Hills, Libby

2017-01-01

Promoting Equality in African Schools (PEAS) seeks to expand access to sustainably delivered, quality secondary education in Africa. PEAS builds and runs chains of not-for-profit, low-cost private schools in public-private partnership with governments. External evaluation data show that PEAS schools in Uganda are delivering higher quality…

Analysis of Private Returns to Vocational Education and Training: Support Document

ERIC Educational Resources Information Center

Lee, Wang-Sheng; Coelli, Michael

2010-01-01

This document is an appendix that is meant to accompany the main report, "Analysis of Private Returns to Vocational Education and Training". Included here are the detailed regression results that correspond to Tables 4 to 59 of the main report. This document was produced by the authors based on their research for the main report, and is…

Evaluation of a Teacher Technology Training Program for Elementary Teachers in a Private School Setting: An Action-Oriented Dissertation

ERIC Educational Resources Information Center

Bankirer, Nathaniel

2018-01-01

While teachers recognize the importance of technology integration into the classroom, they require training, support, and resources to do so effectively. This action research dissertation focuses on the resources necessary to provide teacher technology training at a private elementary school. It reports on the final evaluation stage of the…

The Relationship among Training Policy, Knowledge Transfer, and Performance Improvement: A Study of Private Sector Organizations in the Kingdom of Saudi Arabia

ERIC Educational Resources Information Center

Shafloot, Fayez M.

2012-01-01

The purpose of this study was to explore human resource (HR) managers' perceptions of training practices (i.e., needs assessment, trainee preparation, training program review, accountability, management support, knowledge transfer, and performance improvement) in Saudi private sector organizations. The research questions were: (1) How do HR…

How to Finance and Administer Rural Development Programs. Resources for Rural Development Series: Handbook No. 3.

ERIC Educational Resources Information Center

National Area Development Inst., Rockport, TX.

One of a series, this handbook is designed to assist individuals involved in area development to gain knowledge and understanding of the public and private sources of funds for support of various area development activities. National, regional, and local private sector sources of development capital are examined to give an overview of business…

Bio-based Industries Joint Undertaking: The catalyst for sustainable bio-based economic growth in Europe.

PubMed

Mengal, Philippe; Wubbolts, Marcel; Zika, Eleni; Ruiz, Ana; Brigitta, Dieter; Pieniadz, Agata; Black, Sarah

2018-01-25

This article discusses the preparation, structure and objectives of the Bio-based Industries Joint Undertaking (BBI JU). BBI JU is a public-private partnership (PPP) between the European Commission (EC) and the Bio-based Industries Consortium (BIC), the industry-led private not-for-profit organisation representing the private sectors across the bio-based industries. The model of the public-private partnership has been successful as a new approach to supporting research and innovation and de-risking investment in Europe. The BBI JU became a reality in 2014 and represents the largest industrial and economic cooperation endeavour financially ever undertaken in Europe in the area of industrial biotechnologies. It is considered to be one of the most forward-looking initiatives under Horizon 2020 and demonstrates the circular economy in action. The BBI JU will be the catalyst for this strategy to mobilise actors across Europe including large industry, small and medium-sized enterprises (SMEs), all types of research organisations, networks and universities. It will support regions and in doing so, the European Union Member States and associated countries in the implementation of their bioeconomy strategies. Copyright © 2017 Elsevier B.V. All rights reserved.

Investigating and profiling the leadership behaviours of Jordanian nursing leaders.

PubMed

Mrayyan, Majd; Khasawneh, Israa

Leadership' is a social process in which a member or members of a group influence the interpretation of events, choice of goals/outcomes, organization of work activities, motivation, abilities, power relations, and shared orientations. This study identifies leadership behaviours of Jordanian nursing leaders. A descriptive comparative design was used to collect data from four governmental and three private hospitals. Data were collected during April 2005. The total number of recruited nursing leaders was 140 with a 70% response rate. T-tests and chi-squares were performed to compare the phenomenon of interest. The mean reported leadership behaviours were slightly higher in private hospitals than those in governmental hospitals. However, more than half of the time, leaders in both types of hospitals used supportive leadership behaviours. There were significant differences between governmental and private hospitals in most demographics of the sample. Based on types of hospitals and gender, differences in leadership behaviours were advantageous for nursing leaders in private hospitals, while differences based on units and wards were advantageous for nursing leaders in governmental hospitals. In general, Jordanian nursing leaders used supportive leadership behaviours. Differences in leadership behaviours have implications for nursing practice, research, and education.

Multiaxis Thrust-Vectoring Characteristics of a Model Representative of the F-18 High-Alpha Research Vehicle at Angles of Attack From 0 deg to 70 deg

NASA Technical Reports Server (NTRS)

Asbury, Scott C.; Capone, Francis J.

1995-01-01

An investigation was conducted in the Langley 16-Foot Transonic Tunnel to determine the multiaxis thrust-vectoring characteristics of the F-18 High-Alpha Research Vehicle (HARV). A wingtip supported, partially metric, 0.10-scale jet-effects model of an F-18 prototype aircraft was modified with hardware to simulate the thrust-vectoring control system of the HARV. Testing was conducted at free-stream Mach numbers ranging from 0.30 to 0.70, at angles of attack from O' to 70', and at nozzle pressure ratios from 1.0 to approximately 5.0. Results indicate that the thrust-vectoring control system of the HARV can successfully generate multiaxis thrust-vectoring forces and moments. During vectoring, resultant thrust vector angles were always less than the corresponding geometric vane deflection angle and were accompanied by large thrust losses. Significant external flow effects that were dependent on Mach number and angle of attack were noted during vectoring operation. Comparisons of the aerodynamic and propulsive control capabilities of the HARV configuration indicate that substantial gains in controllability are provided by the multiaxis thrust-vectoring control system.

Inequity in ecosystem service delivery: Socioeconomic gaps in the public-private conservation network

USGS Publications Warehouse

Villamagna, Amy M.; Mogollón, Beatriz; Angermeier, Paul L.

2017-01-01

Conservation areas, both public and private, are critical tools to protect biodiversity and deliver important ecosystem services (ES) to society. Although societal benefits from such ES are increasingly used to promote public support of conservation, the number of beneficiaries, their identity, and the magnitude of benefits are largely unknown for the vast majority of conservation areas in the United States public-private conservation network. The location of conservation areas in relation to people strongly influences the direction and magnitude of ES flows as well as the identity of beneficiaries. We analyzed benefit zones, the areas to which selected ES could be conveyed to beneficiaries, to assess who benefits from a typical conservation network. Better knowledge of ES flows and beneficiaries will help land conservationists make a stronger case for the broad collateral benefits of conservation and help to address issues of social-environmental justice. To evaluate who benefits the most from the current public-private conservation network, we delineated the benefit zones for local ES (within 16 km) that are conveyed along hydrological paths from public (federal and state) and private (easements) conservation lands in the states of North Carolina and Virginia, USA. We also discuss the challenges and demonstrate an approach for delineating nonhydrological benefits that are passively conveyed to beneficiaries. We mapped and compared the geographic distribution of benefit zones within and among conservation area types. We further compared beneficiary demographics across benefit zones of the conservation area types and found that hydrological benefit zones of federal protected areas encompass disproportionately fewer minority beneficiaries compared to statewide demographic patterns. In contrast, benefit zones of state protected areas and private easements encompassed a much greater proportion of minority beneficiaries (~22–25%). Benefit zones associated with private conservation lands included beneficiaries of significantly greater household income than benefit zones of other types of conservation areas. Our analysis of ES flows revealed significant socioeconomic gaps in how the current public-private conservation network benefits the public. These gaps warrant consideration in regional conservation plans and suggest that private conservation initiatives may be best suited for responding to the equity challenge. Enhancing the ecosystem benefits and the equity of benefit delivery from private conservation networks could build public and political support for long-term conservation strategies and ultimately enhance conservation efficacy.

Breast cancer risk assessment and diagnosis model using fuzzy support vector machine based expert system

NASA Astrophysics Data System (ADS)

Dheeba, J.; Jaya, T.; Singh, N. Albert

2017-09-01

Classification of cancerous masses is a challenging task in many computerised detection systems. Cancerous masses are difficult to detect because these masses are obscured and subtle in mammograms. This paper investigates an intelligent classifier - fuzzy support vector machine (FSVM) applied to classify the tissues containing masses on mammograms for breast cancer diagnosis. The algorithm utilises texture features extracted using Laws texture energy measures and a FSVM to classify the suspicious masses. The new FSVM treats every feature as both normal and abnormal samples, but with different membership. By this way, the new FSVM have more generalisation ability to classify the masses in mammograms. The classifier analysed 219 clinical mammograms collected from breast cancer screening laboratory. The tests made on the real clinical mammograms shows that the proposed detection system has better discriminating power than the conventional support vector machine. With the best combination of FSVM and Laws texture features, the area under the Receiver operating characteristic curve reached .95, which corresponds to a sensitivity of 93.27% with a specificity of 87.17%. The results suggest that detecting masses using FSVM contribute to computer-aided detection of breast cancer and as a decision support system for radiologists.

Foamy Virus Vector Carries a Strong Insulator in Its Long Terminal Repeat Which Reduces Its Genotoxic Potential

PubMed Central

2017-01-01

ABSTRACT Strong viral enhancers in gammaretrovirus vectors have caused cellular proto-oncogene activation and leukemia, necessitating the use of cellular promoters in “enhancerless” self-inactivating integrating vectors. However, cellular promoters result in relatively low transgene expression, often leading to inadequate disease phenotype correction. Vectors derived from foamy virus, a nonpathogenic retrovirus, show higher preference for nongenic integrations than gammaretroviruses/lentiviruses and preferential integration near transcriptional start sites, like gammaretroviruses. We found that strong viral enhancers/promoters placed in foamy viral vectors caused extremely low immortalization of primary mouse hematopoietic stem/progenitor cells compared to analogous gammaretrovirus/lentivirus vectors carrying the same enhancers/promoters, an effect not explained solely by foamy virus' modest insertional site preference for nongenic regions compared to gammaretrovirus/lentivirus vectors. Using CRISPR/Cas9-mediated targeted insertion of analogous proviral sequences into the LMO2 gene and then measuring LMO2 expression, we demonstrate a sequence-specific effect of foamy virus, independent of insertional bias, contributing to reduced genotoxicity. We show that this effect is mediated by a 36-bp insulator located in the foamy virus long terminal repeat (LTR) that has high-affinity binding to the CCCTC-binding factor. Using our LMO2 activation assay, LMO2 expression was significantly increased when this insulator was removed from foamy virus and significantly reduced when the insulator was inserted into the lentiviral LTR. Our results elucidate a mechanism underlying the low genotoxicity of foamy virus, identify a novel insulator, and support the use of foamy virus as a vector for gene therapy, especially when strong enhancers/promoters are required. IMPORTANCE Understanding the genotoxic potential of viral vectors is important in designing safe and efficacious vectors for gene therapy. Self-inactivating vectors devoid of viral long-terminal-repeat enhancers have proven safe; however, transgene expression from cellular promoters is often insufficient for full phenotypic correction. Foamy virus is an attractive vector for gene therapy. We found foamy virus vectors to be remarkably less genotoxic, well below what was expected from their integration site preferences. We demonstrate that the foamy virus long terminal repeats contain an insulator element that binds CCCTC-binding factor and reduces its insertional genotoxicity. Our study elucidates a mechanism behind the low genotoxic potential of foamy virus, identifies a unique insulator, and supports the use of foamy virus as a vector for gene therapy. PMID:29046446

Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification

PubMed Central

Fernandez-Lozano, C.; Canto, C.; Gestal, M.; Andrade-Garda, J. M.; Rabuñal, J. R.; Dorado, J.; Pazos, A.

2013-01-01

Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector machines is suggested in such a way that, when using SVM as a fitness function of the Genetic Algorithm (GA), the most representative variables for a specific classification problem can be selected. PMID:24453933

Predicting healthcare associated infections using patients' experiences

NASA Astrophysics Data System (ADS)

Pratt, Michael A.; Chu, Henry

2016-05-01

Healthcare associated infections (HAI) are a major threat to patient safety and are costly to health systems. Our goal is to predict the HAI performance of a hospital using the patients' experience responses as input. We use four classifiers, viz. random forest, naive Bayes, artificial feedforward neural networks, and the support vector machine, to perform the prediction of six types of HAI. The six types include blood stream, urinary tract, surgical site, and intestinal infections. Experiments show that the random forest and support vector machine perform well across the six types of HAI.

Cultivating Foundation Support for Education.

ERIC Educational Resources Information Center

Murphy, Mary Kay, Ed.

The process of acquiring financial support from private foundations is discussed in 26 essays, divided into five categories (Targeting the Foundation Market; Getting Started: Tools of the Trade; The Process of Foundation Fund Raising; The Grant Maker's Perspective; and Focused Programs and Foundation Support). A prologue, "Ethics and Foundation…

45 CFR 304.30 - Public sources of State's share.

Code of Federal Regulations, 2010 CFR

2010-10-01

... funds, other than those derived from private resources, used by the IV-D agency for its child support... 304.30 Public Welfare Regulations Relating to Public Welfare OFFICE OF CHILD SUPPORT ENFORCEMENT (CHILD SUPPORT ENFORCEMENT PROGRAM), ADMINISTRATION FOR CHILDREN AND FAMILIES, DEPARTMENT OF HEALTH AND...

First Approximations of Prescribed Fire Risks Relative to Other Management Techniques Used on Private Lands.

PubMed

Twidwell, Dirac; Wonkka, Carissa L; Sindelar, Michael T; Weir, John R

2015-01-01

Fire is widely recognized as a critical ecological and evolutionary driver that needs to be at the forefront of land management actions if conservation targets are to be met. However, the prevailing view is that prescribed fire is riskier than other land management techniques. Perceived risks associated with the application of fire limits its use and reduces agency support for prescribed burning in the private sector. As a result, considerably less cost-share support is given for prescribed fire compared to mechanical techniques. This study tests the general perception that fire is a riskier technique relative to other land management options. Due to the lack of data available to directly test this notion, we use a combination of approaches including 1) a comparison of fatalities resulting from different occupations that are proxies for techniques employed in land management, 2) a comparison of fatalities resulting from wildland fire versus prescribed fire, and 3) an exploration of causal factors responsible for wildland fire-related fatalities. This approach establishes a first approximation of the relative risk of fatality to private citizens using prescribed fire compared to other management techniques that are readily used in ecosystem management. Our data do not support using risks of landowner fatalities as justification for the use of alternative land management techniques, such as mechanical (machine-related) equipment, over prescribed fire. Vehicles and heavy machinery are consistently leading reasons for fatalities within occupations selected as proxies for management techniques employed by ranchers and agricultural producers, and also constitute a large proportion of fatalities among firefighters. Our study provides the foundation for agencies to establish data-driven decisions regarding the degree of support they provide for prescribed burning on private lands.

First Approximations of Prescribed Fire Risks Relative to Other Management Techniques Used on Private Lands

PubMed Central

Twidwell, Dirac; Wonkka, Carissa L.; Sindelar, Michael T.; Weir, John R.

2015-01-01

Fire is widely recognized as a critical ecological and evolutionary driver that needs to be at the forefront of land management actions if conservation targets are to be met. However, the prevailing view is that prescribed fire is riskier than other land management techniques. Perceived risks associated with the application of fire limits its use and reduces agency support for prescribed burning in the private sector. As a result, considerably less cost-share support is given for prescribed fire compared to mechanical techniques. This study tests the general perception that fire is a riskier technique relative to other land management options. Due to the lack of data available to directly test this notion, we use a combination of approaches including 1) a comparison of fatalities resulting from different occupations that are proxies for techniques employed in land management, 2) a comparison of fatalities resulting from wildland fire versus prescribed fire, and 3) an exploration of causal factors responsible for wildland fire-related fatalities. This approach establishes a first approximation of the relative risk of fatality to private citizens using prescribed fire compared to other management techniques that are readily used in ecosystem management. Our data do not support using risks of landowner fatalities as justification for the use of alternative land management techniques, such as mechanical (machine-related) equipment, over prescribed fire. Vehicles and heavy machinery are consistently leading reasons for fatalities within occupations selected as proxies for management techniques employed by ranchers and agricultural producers, and also constitute a large proportion of fatalities among firefighters. Our study provides the foundation for agencies to establish data-driven decisions regarding the degree of support they provide for prescribed burning on private lands. PMID:26465329

Public-private mix for control of tuberculosis and TB-HIV in Nairobi, Kenya: outcomes, opportunities and obstacles.

PubMed

Chakaya, J; Uplekar, M; Mansoer, J; Kutwa, A; Karanja, G; Ombeka, V; Muthama, D; Kimuu, P; Odhiambo, J; Njiru, H; Kibuga, D; Sitienei, J

2008-11-01

Nairobi, the capital of Kenya. To promote standardised tuberculosis (TB) care by private health providers and links with the public sector. A description of the results of interventions aimed at engaging private health providers in TB care and control in Nairobi. Participating providers are supported to provide TB care that conforms to national guidelines. The standard surveillance tools are used for programme monitoring and evaluation. By the end of 2006, 26 of 46 (57%) private hospitals and nursing homes were engaged. TB cases reported by private providers increased from 469 in 2002 to 1740 in 2006. The treatment success rate for smear-positive pulmonary TB treated by private providers ranged from 76% to 85% between 2002 and 2005. Of the 1740 TB patients notified by the private sector in 2006, 732 (42%) were tested for human immunodeficiency virus (HIV), of whom 372 (51%) were positive. Of the 372 HIV-positive TB patients, 227 (61%) were provided with cotrimoxazole preventive treatment (CPT) and 136 (37%) with antiretroviral treatment (ART). Private providers can be engaged to provide TB-HIV care conforming to national norms. The challenges include providing diagnostics, CPT and ART and the capacity to train and supervise these providers.

Exploring the public-private and company size differences in employees' work characteristics and burnout: data analysis of a nationwide survey in Taiwan.

PubMed

Yeh, Wan-Yu; Yeh, Ching-Ying; Chen, Chiou-Jong

2018-05-15

Distinct differences exist between public-private sector organizations with respect to the market environment and operational objectives; furthermore, among private sector businesses, organizational structures and work conditions often vary between large- and small-sized companies. Despite these obvious structural distinctions, however, sectoral differences in employees' psychosocial risks and burnout status in national level have rarely been systematically investigated. Based on 2013 national employee survey data, 15,000 full-time employees were studied. Sector types were classified into "public," "private enterprise-large (LE)," and "private enterprise-small and medium (SME);" based on the definition of SMEs by Taiwan Ministry of Economic Affairs, and the associations of sector types with self-reported burnout status (measured by the Chinese version of Copenhagen Burnout Inventory) were examined, taking into account other work characteristics and job instability indicators. Significantly longer working hours and higher perceived job insecurity were found among private sector employees than their public sector counterparts. With further consideration of company size, greater dissatisfaction of job control and career prospect were found among SME employees than the other two sector type workers. This study explores the pattern of public-private differences in work conditions and employees' stress-related problems to have policy implications for supporting mechanism for disadvantaged workers in private sectors.

Can universal access be achieved in a voluntary private health insurance market? Dutch private insurers caught between competing logics.

PubMed

Vonk, Robert A A; Schut, Frederik T

2018-05-07

For almost a century, the Netherlands was marked by a large market for voluntary private health insurance alongside state-regulated social health insurance. Throughout this period, private health insurers tried to safeguard their position within an expanding welfare state. From an institutional logics perspective, we analyze how private health insurers tried to reconcile the tension between a competitive insurance market pressuring for selective underwriting and actuarially fair premiums (the insurance logic), and an upcoming welfare state pressuring for universal access and socially fair premiums (the welfare state logic). Based on primary sources and the extant historiography, we distinguish six periods in which the balance between both logics changed significantly. We identify various strategies employed by private insurers to reconcile the competing logics. Some of these were temporarily successful, but required measures that were incompatible with the idea of free entrepreneurship and consumer choice. We conclude that universal access can only be achieved in a competitive individual private health insurance market if this market is effectively regulated and mandatory cross-subsidies are effectively enforced. The Dutch case demonstrates that achieving universal access in a competitive private health insurance market is institutionally complex and requires broad political and societal support.

Fund-raising strategies for the allied health professions.

PubMed

Cornesky, R A; Anderson, J A

1987-05-01

Academic units of allied health (eg, schools and colleges of allied health) are relatively new to institutions of higher education. As a result, the academic units lack prestige with private funding sources. This article describes a development model for raising private contributions emphasizing allied health academic units. The roles of the academic department, development advisory committee, and faculty in developing the mission statement, needs, objectives, and case statement for the department are described. How the department chairperson, faculty, dean, and advisory committee members interact with the staff from a development office in identifying, cultivating, and soliciting private support are explained.

Payments for care at private for-profit and private not-for-profit hospitals: a systematic review and meta-analysis

PubMed Central

Devereaux, P.J.; Heels-Ansdell, Diane; Lacchetti, Christina; Haines, Ted; Burns, Karen E.A.; Cook, Deborah J.; Ravindran, Nikila; Walter, S.D.; McDonald, Heather; Stone, Samuel B.; Patel, Rakesh; Bhandari, Mohit; Schünemann, Holger J.; Choi, Peter T.-L.; Bayoumi, Ahmed M.; Lavis, John N.; Sullivan, Terrence; Stoddart, Greg; Guyatt, Gordon H.

2004-01-01

Background It has been shown that patients cared for at private for-profit hospitals have higher risk-adjusted mortality rates than those cared for at private not-for-profit hospitals. Uncertainty remains, however, about the economic implications of these forms of health care delivery. Since some policy-makers might still consider for-profit health care if expenditure savings were sufficiently large, we undertook a systematic review and meta-analysis to compare payments for care at private for-profit and private not-for-profit hospitals. Methods We used 6 search strategies to identify published and unpublished observational studies that directly compared the payments for care at private for-profit and private not-for-profit hospitals. We masked the study results before teams of 2 reviewers independently evaluated the eligibility of all studies. We confirmed data or obtained additional data from all but 1 author. For each study, we calculated the payments for care at private for-profit hospitals relative to private not-for-profit hospitals and pooled the results using a random effects model. Results Eight observational studies, involving more than 350 000 patients altogether and a median of 324 hospitals each, fulfilled our eligibility criteria. In 5 of 6 studies showing higher payments for care at private for-profit hospitals, the difference was statistically significant; in 1 of 2 studies showing higher payments for care at private not-for-profit hospitals, the difference was statistically significant. The pooled estimate demonstrated that private for-profit hospitals were associated with higher payments for care (relative payments for care 1.19, 95% confidence interval 1.07–1.33, p = 0.001). Interpretation Private for-profit hospitals result in higher payments for care than private not-for-profit hospitals. Evidence strongly supports a policy of not-for-profit health care delivery at the hospital level. PMID:15184339

Vector control activities: Fiscal Year, 1986

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

Not Available

1987-04-01

The program is divided into two major components - operations and support studies. The support studies are designed to improve the operational effectiveness and efficiency of the control program and to identify other vector control problems requiring TVA attention and study. Nonchemical methods of control are emphasized and are supplemented with chemical measures as needed. TVA also cooperates with various concerned municipalities in identifying blood-sucking arthropod pest problems and demonstrating control techniques useful in establishing abatement programs, and provides technical assistance to other TVA programs and organizations. The program also helps Land Between The Lakes (LBL) plan and conduct vectormore » control operations and tick control research. Specific program control activities and support studies are discussed.« less

The crucial role of the private sector.

PubMed

Barberis, M; Paxman, J M

1986-12-01

Private support for the development of family planning programs continues to grow and now includes industries that provide family planning services, commercial outlets that distribute contraceptives, community groups that help to build demand, private medical practitioners who include contraception as a part of health care, organizations that provide technical and financial assistance to developing country programs, pharmaceutical firms, and foundations that underwrite contraceptive research. Although the mix of private and public programs differs from country to country, these 2 family planning programs complement each other and often work in close partnership. The private sector has the advantages of being able to pioneer innovative programs the public sector is unwilling or unable to pursue, to bring foreign financial and technical assistance to developing countries without political implications, and to achieve financially self-sustaining family planning efforts that are linked to other development efforts. In many countries, the private sector has been instrumental in developing a national family planning program and in eliminating barriers to family planning in countries with restrictive laws and policies. The private sector has been especially important in pioneering grassroots programs that improve the status of women through education, health care, training, and economic opportunity.

Detection of distorted frames in retinal video-sequences via machine learning

NASA Astrophysics Data System (ADS)

Kolar, Radim; Liberdova, Ivana; Odstrcilik, Jan; Hracho, Michal; Tornow, Ralf P.

2017-07-01

This paper describes detection of distorted frames in retinal sequences based on set of global features extracted from each frame. The feature vector is consequently used in classification step, in which three types of classifiers are tested. The best classification accuracy 96% has been achieved with support vector machine approach.

Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.

PubMed

An, Ji-Yong; Meng, Fan-Rong; You, Zhu-Hong; Fang, Yu-Hong; Zhao, Yu-Jun; Zhang, Ming

2016-01-01

We propose a novel computational method known as RVM-LPQ that combines the Relevance Vector Machine (RVM) model and Local Phase Quantization (LPQ) to predict PPIs from protein sequences. The main improvements are the results of representing protein sequences using the LPQ feature representation on a Position Specific Scoring Matrix (PSSM), reducing the influence of noise using a Principal Component Analysis (PCA), and using a Relevance Vector Machine (RVM) based classifier. We perform 5-fold cross-validation experiments on Yeast and Human datasets, and we achieve very high accuracies of 92.65% and 97.62%, respectively, which is significantly better than previous works. To further evaluate the proposed method, we compare it with the state-of-the-art support vector machine (SVM) classifier on the Yeast dataset. The experimental results demonstrate that our RVM-LPQ method is obviously better than the SVM-based method. The promising experimental results show the efficiency and simplicity of the proposed method, which can be an automatic decision support tool for future proteomics research.

Study on vibration characteristics and fault diagnosis method of oil-immersed flat wave reactor in Arctic area converter station

NASA Astrophysics Data System (ADS)

Lai, Wenqing; Wang, Yuandong; Li, Wenpeng; Sun, Guang; Qu, Guomin; Cui, Shigang; Li, Mengke; Wang, Yongqiang

2017-10-01

Based on long term vibration monitoring of the No.2 oil-immersed fat wave reactor in the ±500kV converter station in East Mongolia, the vibration signals in normal state and in core loose fault state were saved. Through the time-frequency analysis of the signals, the vibration characteristics of the core loose fault were obtained, and a fault diagnosis method based on the dual tree complex wavelet (DT-CWT) and support vector machine (SVM) was proposed. The vibration signals were analyzed by DT-CWT, and the energy entropy of the vibration signals were taken as the feature vector; the support vector machine was used to train and test the feature vector, and the accurate identification of the core loose fault of the flat wave reactor was realized. Through the identification of many groups of normal and core loose fault state vibration signals, the diagnostic accuracy of the result reached 97.36%. The effectiveness and accuracy of the method in the fault diagnosis of the flat wave reactor core is verified.

Africa's health: could the private sector accelerate the progress towards health MDGs?

PubMed Central

2011-01-01

Background Out of 1.484 billion disability-adjusted life years lost globally in 2008, 369.1 million (25%) were lost in the WHO African Region. Despite the heavy disease burden, the majority of countries in the Region are not on track to achieve Millennium Development Goals (MDG) 4 (reducing child mortality), 5 (improving maternal health), and 6 (combating HIV/AIDS, malaria and other diseases). This article provides an overview of the state of public health, summarizes 2010-2015 WHO priorities, and explores the role that private sector could play to accelerate efforts towards health MDGs in the African Region. Discussion Of the 752 total resolutions adopted by the WHO Regional Committee for Africa (RC) between years 1951 and 2010, 45 mention the role of the private sector. We argue that despite the rather limited role implied in RC resolutions, the private sector has a pivotal role in supporting the achievement of health MDGs, and articulating efforts with 2010-2015 priorities for WHO in the African Region: provision of normative and policy guidance as well as strengthening partnerships and harmonization; supporting the strengthening of health systems based on the Primary Health Care approach; putting the health of mothers and children first; accelerating actions on HIV/AIDS, malaria and tuberculosis; intensifying the prevention and control of communicable and noncommunicable diseases; and accelerating response to the determinants of health. Conclusion The very high maternal and children mortality, very high burden of communicable and non-communicable diseases, health systems challenges, and inter-sectoral issues related to key determinants of health are too heavy for the public sector to address alone. Therefore, there is clear need for the private sector, given its breadth, scope and size, to play a more significant role in supporting governments, communities and partners to develop and implement national health policies and strategic plans; strengthen health systems capacities; and implement roadmaps for accelerating the attainment of health MDGs relating to maternal and child health, reducing disease burden, and promoting social determinants of health. In order for governments to further explore the potential benefits of the private sector towards improved performance of health systems, there is need for accurate evidence on the private sector capacity in areas of prevention, promotion, treatment and rehabilitation; dialogue and negotiation; clear definition of roles and responsibilities; and regulatory frameworks. PMID:22118626

Africa's health: could the private sector accelerate the progress towards health MDGs?

PubMed

Sambo, Luis G; Kirigia, Joses M

2011-11-25

Out of 1.484 billion disability-adjusted life years lost globally in 2008, 369.1 million (25%) were lost in the WHO African Region. Despite the heavy disease burden, the majority of countries in the Region are not on track to achieve Millennium Development Goals (MDG) 4 (reducing child mortality), 5 (improving maternal health), and 6 (combating HIV/AIDS, malaria and other diseases). This article provides an overview of the state of public health, summarizes 2010-2015 WHO priorities, and explores the role that private sector could play to accelerate efforts towards health MDGs in the African Region. Of the 752 total resolutions adopted by the WHO Regional Committee for Africa (RC) between years 1951 and 2010, 45 mention the role of the private sector. We argue that despite the rather limited role implied in RC resolutions, the private sector has a pivotal role in supporting the achievement of health MDGs, and articulating efforts with 2010-2015 priorities for WHO in the African Region: provision of normative and policy guidance as well as strengthening partnerships and harmonization; supporting the strengthening of health systems based on the Primary Health Care approach; putting the health of mothers and children first; accelerating actions on HIV/AIDS, malaria and tuberculosis; intensifying the prevention and control of communicable and noncommunicable diseases; and accelerating response to the determinants of health. The very high maternal and children mortality, very high burden of communicable and non-communicable diseases, health systems challenges, and inter-sectoral issues related to key determinants of health are too heavy for the public sector to address alone. Therefore, there is clear need for the private sector, given its breadth, scope and size, to play a more significant role in supporting governments, communities and partners to develop and implement national health policies and strategic plans; strengthen health systems capacities; and implement roadmaps for accelerating the attainment of health MDGs relating to maternal and child health, reducing disease burden, and promoting social determinants of health.In order for governments to further explore the potential benefits of the private sector towards improved performance of health systems, there is need for accurate evidence on the private sector capacity in areas of prevention, promotion, treatment and rehabilitation; dialogue and negotiation; clear definition of roles and responsibilities; and regulatory frameworks.

Do elections matter for private-sector healthcare management in Brazil? An analysis of municipal health policy.

PubMed

McGregor, Alecia J; Siqueira, Carlos Eduardo; Zaslavsky, Alan M; Blendon, Robert J

2017-07-12

This study analyzed several political determinants of increased private-sector management in Brazilian health care. In Brazil, the poor depend almost exclusively on the public Unified Health System (the SUS), which remains severely underfunded. Given the overhead costs associated with privately contracted health services, increased private management is one driver of higher expenditures in the system. Although left parties campaign most vocally in support of greater public control of the SUS, the extent to which their stated positions translate into health care policy remains untested. Drawing on multiple publicly available data sources, we used linear regression to analyze how political party-in-power and existing private sector health care contracting affect the share of privately managed health care services and outsourcing in municipalities. Data from two election periods-2004 to 2008 and 2008 to 2012-were analyzed. Our findings showed that although private sector contracting varies greatly across municipalities, this variation is not systematically associated with political party in power. This suggests that electoral politics plays a relatively minor role in municipal-level health care administration. Existing levels of private sector management appear to have a greater effect on the public-private makeup of the Brazilian healthcare system, suggesting a strong role of path dependence in the evolution of Brazilian health care delivery. Despite campaign rhetoric asserting distinct positions on privatization in the SUS, factors other than political party in power have a greater effect on private-sector health system management at the municipal-level in Brazil. Given the limited effect of elections on this issue, strengthening participatory bodies such as municipal health councils may better enfranchise citizens in the fundamental debate over public and private roles in the health care sector.

Strategies to Improve Private-Well Water Quality: A North Carolina Perspective

PubMed Central

Pieper, Kelsey J.

2017-01-01

Background: Evidence suggests that the 44.5 million U.S. residents drawing their drinking water from private wells face higher risks of waterborne contaminant exposure than those served by regulated community water supplies. Among U.S. states, North Carolina (N.C.) has the second-largest population relying on private wells, making it a useful microcosm to study challenges to maintaining private-well water quality. Objectives: This paper summarizes recommendations from a two-day summit to identify options to improve drinking-water quality for N.C. residents served by private wells. Methods: The Research Triangle Environmental Health Collaborative invited 111 participants with knowledge of private-well water challenges to attend the Summit. Participants worked in small groups that focused on specific aspects and reconvened in plenary sessions to formulate consensus recommendations. Discussion: Summit participants highlighted four main barriers to ensuring safe water for residents currently relying on private wells: (1) a database of private well locations is unavailable; (2) racial disparities have perpetuated reliance on private wells in some urbanized areas; (3) many private-well users lack information or resources to monitor and maintain their wells; and (4) private-well support programs are fragmented and lack sufficient resources. The Summit produced 10 consensus recommendations for ways to overcome these barriers. Conclusions: The Summit recommendations, if undertaken, could improve the health of North Carolinians facing elevated risks of exposure to waterborne contaminants because of their reliance on inadequately monitored and maintained private wells. Because many of the challenges in N.C. are common nationwide, these recommendations could serve as models for other states. https://doi.org/10.1289/EHP890 PMID:28728142

Orthogonal vector algorithm to obtain the solar vector using the single-scattering Rayleigh model.

PubMed

Wang, Yinlong; Chu, Jinkui; Zhang, Ran; Shi, Chao

2018-02-01

Information obtained from a polarization pattern in the sky provides many animals like insects and birds with vital long-distance navigation cues. The solar vector can be derived from the polarization pattern using the single-scattering Rayleigh model. In this paper, an orthogonal vector algorithm, which utilizes the redundancy of the single-scattering Rayleigh model, is proposed. We use the intersection angles between the polarization vectors as the main criteria in our algorithm. The assumption that all polarization vectors can be considered coplanar is used to simplify the three-dimensional (3D) problem with respect to the polarization vectors in our simulation. The surface-normal vector of the plane, which is determined by the polarization vectors after translation, represents the solar vector. Unfortunately, the two-directionality of the polarization vectors makes the resulting solar vector ambiguous. One important result of this study is, however, that this apparent disadvantage has no effect on the complexity of the algorithm. Furthermore, two other universal least-squares algorithms were investigated and compared. A device was then constructed, which consists of five polarized-light sensors as well as a 3D attitude sensor. Both the simulation and experimental data indicate that the orthogonal vector algorithms, if used with a suitable threshold, perform equally well or better than the other two algorithms. Our experimental data reveal that if the intersection angles between the polarization vectors are close to 90°, the solar-vector angle deviations are small. The data also support the assumption of coplanarity. During the 51 min experiment, the mean of the measured solar-vector angle deviations was about 0.242°, as predicted by our theoretical model.

Lost Dollars Threaten Research in Public Academic Health Centers.

PubMed

Bourne, Henry R; Vermillion, Eric B

2017-03-01

The decrease of federal and state support threatens long-term sustainability of research in publicly supported academic health centers. In weathering these financial threats, research at the University of California, San Francisco (UCSF), has undergone 3 substantial changes: institutional salary support goes preferentially to senior faculty, whereas the young increasingly depend on grants; private and government support for research grows apace in clinical departments but declines in basic science departments; and research is judged more on its quantity (numbers of investigators and federal and private dollars) than on its goals, achievements, or scientific quality. We propose specific measures to alleviate these problems. Other large public academic health centers probably confront similar issues, but-except for UCSF-such centers have not been subjected to detailed public analysis.-Bourne, H. R., Vermillion, E. B. Lost dollars threaten research in public academic health centers. © FASEB.

Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires

PubMed Central

Cinelli, Mattia; Sun, , Yuxin; Best, Katharine; Heather, James M.; Reich-Zeliger, Shlomit; Shifrut, Eric; Friedman, Nir; Shawe-Taylor, John; Chain, Benny

2017-01-01

Abstract Motivation: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen receptor sequences. How this diversity captures antigen specificity remains incompletely understood. In this study we use high throughput sequencing to compare the global changes in T cell receptor β chain complementarity determining region 3 (CDR3β) sequences following immunization with ovalbumin administered with complete Freund’s adjuvant (CFA) or CFA alone. Results: The CDR3β sequences were deconstructed into short stretches of overlapping contiguous amino acids. The motifs were ranked according to a one-dimensional Bayesian classifier score comparing their frequency in the repertoires of the two immunization classes. The top ranking motifs were selected and used to create feature vectors which were used to train a support vector machine. The support vector machine achieved high classification scores in a leave-one-out validation test reaching >90% in some cases. Summary: The study describes a novel two-stage classification strategy combining a one-dimensional Bayesian classifier with a support vector machine. Using this approach we demonstrate that the frequency of a small number of linear motifs three amino acids in length can accurately identify a CD4 T cell response to ovalbumin against a background response to the complex mixture of antigens which characterize Complete Freund’s Adjuvant. Availability and implementation: The sequence data is available at www.ncbi.nlm.nih.gov/sra/?term¼SRP075893. The Decombinator package is available at github.com/innate2adaptive/Decombinator. The R package e1071 is available at the CRAN repository https://cran.r-project.org/web/packages/e1071/index.html. Contact: b.chain@ucl.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. PMID:28073756

A gene cassette for adapting Escherichia coli strains as hosts for att-Int-mediated rearrangement and pL expression vectors.

PubMed

Balakrishnan, R; Bolten, B; Backman, K C

1994-01-28

A cassette of genes from bacteriophage lambda, when carried on a derivative of bacteriophage Mu, renders strains of Escherichia coli (and in principle other Mu-sensitive bacteria) capable of supporting lambda-based expression vectors, such as rearrangement vectors and pL vectors. The gene cassette contains a temperature-sensitive allele of the repressor gene, cIts857, and a shortened leftward operon comprising, oLpL, N, xis and int. Transfection and lysogenization of this cassette into various host bacteria is mediated by phage Mu functions. Examples of regulated expression of the gene encoding T4 DNA ligase are presented.

Reforming long-term care financing through insurance

PubMed Central

Meiners, Mark R.

1988-01-01

Until recently, insurance for long-term care was not viewed as feasible. This perception has changed dramatically in the past few years. Several models of long-term care insurance have begun to be tested. Although the application of insurance principles to long-term care is still new, the emergence of private market interest in developing long-term care insurance has been a catalyst to renewed public-policy support for reforming the way we pay for long-term care. States, in particular, have become interested in developing public-private partnerships to support the emergence of long-term care insurance that could help relieve the mounting pressure on Medicaid budgets. PMID:10312962

The physical activity climate in Minnesota middle and high schools.

PubMed

Samuelson, Anne; Lytle, Leslie; Pasch, Keryn; Farbakhsh, Kian; Moe, Stacey; Sirard, John Ronald

2010-11-01

This article describes policies, practices, and facilities that form the physical activity climate in Minneapolis/St. Paul, Minnesota metro area middle and high schools and examines how the physical activity climate varies by school characteristics, including public/private, school location and grade level. Surveys examining school physical activity practices, policies and environment were administered to principals and physical education department heads from 115 middle and high schools participating in the Transdisciplinary Research on Energetics and Cancer-Identifying Determinants of Eating and Activity (TREC-IDEA) study. While some supportive practices were highly prevalent in the schools studied (such as prohibiting substitution of other classes for physical education); other practices were less common (such as providing opportunity for intramural (noncompetitive) sports). Public schools vs. private schools and schools with a larger school enrollment were more likely to have a school climate supportive of physical activity. Although schools reported elements of positive physical activity climates, discrepancies exist by school characteristics. Of note, public schools were more than twice as likely as private schools to have supportive physical activity environments. Establishing more consistent physical activity expectations and funding at the state and national level is necessary to increase regular school physical activity.

Approaches to utilize mesenchymal progenitor cells as cellular vehicles.

PubMed

Pereboeva, L; Komarova, S; Mikheeva, G; Krasnykh, V; Curiel, D T

2003-01-01

Mammalian cells represent a novel vector approach for gene delivery that overcomes major drawbacks of viral and nonviral vectors and couples cell therapy with gene delivery. A variety of cell types have been tested in this regard, confirming that the ideal cellular vector system for ex vivo gene therapy has to comply with stringent criteria and is yet to be found. Several properties of mesenchymal progenitor cells (MPCs), such as easy access and simple isolation and propagation procedures, make these cells attractive candidates as cellular vehicles. In the current work, we evaluated the potential utility of MPCs as cellular vectors with the intent to use them in the cancer therapy context. When conventional adenoviral (Ad) vectors were used for MPC transduction, the highest transduction efficiency of MPCs was 40%. We demonstrated that Ad primary-binding receptors were poorly expressed on MPCs, while the secondary Ad receptors and integrins presented in sufficient amounts. By employing Ad vectors with incorporated integrin-binding motifs (Ad5lucRGD), MPC transduction was augmented tenfold, achieving efficient genetic loading of MPCs with reporter and anticancer genes. MPCs expressing thymidine kinase were able to exert a bystander killing effect on the cancer cell line SKOV3ip1 in vitro. In addition, we found that MPCs were able to support Ad replication, and thus can be used as cell vectors to deliver oncolytic viruses. Our results show that MPCs can foster expression of suicide genes or support replication of adenoviruses as potential anticancer therapeutic payloads. These findings are consistent with the concept that MPCs possess key properties that ensure their employment as cellular vehicles and can be used to deliver either therapeutic genes or viruses to tumor sites.

Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI3g data

NASA Astrophysics Data System (ADS)

Gerber, Florian; Mösinger, Kaspar; Furrer, Reinhard

2017-07-01

Software packages for spatial data often implement a hybrid approach of interpreted and compiled programming languages. The compiled parts are usually written in C, C++, or Fortran, and are efficient in terms of computational speed and memory usage. Conversely, the interpreted part serves as a convenient user-interface and calls the compiled code for computationally demanding operations. The price paid for the user friendliness of the interpreted component is-besides performance-the limited access to low level and optimized code. An example of such a restriction is the 64-bit vector support of the widely used statistical language R. On the R side, users do not need to change existing code and may not even notice the extension. On the other hand, interfacing 64-bit compiled code efficiently is challenging. Since many R packages for spatial data could benefit from 64-bit vectors, we investigate strategies to efficiently pass 64-bit vectors to compiled languages. More precisely, we show how to simply extend existing R packages using the foreign function interface to seamlessly support 64-bit vectors. This extension is shown with the sparse matrix algebra R package spam. The new capabilities are illustrated with an example of GIMMS NDVI3g data featuring a parametric modeling approach for a non-stationary covariance matrix.

How to Create an Educational Foundation in Your School District: A Handbook for Public and Private Schools Administrators for Developing and Operating a Non-Profit Education Foundation.

ERIC Educational Resources Information Center

Hodgson, Frank M.

This handbook provides public and private school administrators with guidelines for developing a nonprofit educational foundation. Following an introduction, a statement of rationale describes fundamental approaches and activities. The foundation's primary purpose is aiding schools with additional funding and community service support. Section 2…

43 CFR 4750.3-3 - Supporting information and certification for private maintenance of more than 4 wild horses or...

Code of Federal Regulations, 2014 CFR

2014-10-01

... for private maintenance of more than 4 wild horses or burros. 4750.3-3 Section 4750.3-3 Public Lands... INTERIOR RANGE MANAGEMENT (4000) PROTECTION, MANAGEMENT, AND CONTROL OF WILD FREE-ROAMING HORSES AND BURROS... than 4 wild horses or burros. (a) An individual applying to adopt more than 4 wild horses or burros...

43 CFR 4750.3-3 - Supporting information and certification for private maintenance of more than 4 wild horses or...

Code of Federal Regulations, 2011 CFR

2011-10-01

... for private maintenance of more than 4 wild horses or burros. 4750.3-3 Section 4750.3-3 Public Lands... INTERIOR RANGE MANAGEMENT (4000) PROTECTION, MANAGEMENT, AND CONTROL OF WILD FREE-ROAMING HORSES AND BURROS... than 4 wild horses or burros. (a) An individual applying to adopt more than 4 wild horses or burros...

43 CFR 4750.3-3 - Supporting information and certification for private maintenance of more than 4 wild horses or...

Code of Federal Regulations, 2012 CFR

2012-10-01

... for private maintenance of more than 4 wild horses or burros. 4750.3-3 Section 4750.3-3 Public Lands... INTERIOR RANGE MANAGEMENT (4000) PROTECTION, MANAGEMENT, AND CONTROL OF WILD FREE-ROAMING HORSES AND BURROS... than 4 wild horses or burros. (a) An individual applying to adopt more than 4 wild horses or burros...

43 CFR 4750.3-3 - Supporting information and certification for private maintenance of more than 4 wild horses or...

Code of Federal Regulations, 2013 CFR

2013-10-01

... for private maintenance of more than 4 wild horses or burros. 4750.3-3 Section 4750.3-3 Public Lands... INTERIOR RANGE MANAGEMENT (4000) PROTECTION, MANAGEMENT, AND CONTROL OF WILD FREE-ROAMING HORSES AND BURROS... than 4 wild horses or burros. (a) An individual applying to adopt more than 4 wild horses or burros...

Donating the Voucher: An Alternative Tax Treatment of Private School Enrollment. NBER Working Paper No. 18525

ERIC Educational Resources Information Center

Samwick, Andrew A.

2012-01-01

Approximately 10 percent of school-age children in the United States are enrolled in private schools, relieving the financial burden on public school systems, and the taxpayers who support them, of the cost of their education. At present, the tax code does not allow families who provide this financial relief an income tax deduction, even though…

Evaluation of New Jersey After 3: Reaching and Engaging New Jersey's Youth through Afterschool Programs, 2005-2008

ERIC Educational Resources Information Center

Walking Eagle, Karen P.; Miller, Tiffany D.; Cooc, North; LaFleur, Jennifer; Reisner, Elizabeth R.

2009-01-01

New Jersey After 3 (NJ After 3) is a private, nonprofit organization whose mission is to expand and improve afterschool opportunities for New Jersey's youth. Using both public and private resources, it supports a network of youth-service providers that deliver afterschool services based on NJ After 3's program model. Under an agreement with NJ…

Industry, Philanthropy, and Universities: The Roles and Influences of the Private Sector in Higher Education. Research & Occasional Paper Series: CSHE.12.06

ERIC Educational Resources Information Center

Vest, Charles M.

2006-01-01

Charles Vest gave the third of three Clark Kerr Lectures on the Role of Higher Education in Society on September 13, 2005 on the Berkeley campus. In public as well as private universities, resources provided by philanthropic individuals and foundations and by corporate research sponsors increasingly support the margin of university excellence, and…

Recreation and protected land resources in the United States: a technical document supporting the Forest Service 2010 RPA Assessment

Treesearch

H. Ken Cordell; Carter J. Betz; Stanley J. Zarnoch

2013-01-01

This report provides an overview of the public and private land and water resources of the United States. Described is use of natural and developed land as recreation resources with an emphasis on nature-based recreation. Also described is land protection through conservation organizations and public funding programs, with an emphasis on protecting private land through...

Policies for Evaluation and Regulation of Higher Education in Brazil (1995-2010), Supporting the Expansion of Private Higher Education

ERIC Educational Resources Information Center

Barreyro, Gladys Beatriz; Rothen, José Carlos; Santana, Andréia da Cunha Malheiros

2014-01-01

This paper analyzes the routes of the evaluation of higher education in Brazil, from 1995 until 2010. In 1995, during Fernando Henrique Cardoso's administration, higher education began a process of expansion through private enterprise. At that time, evaluation had a key role. The focus was the evaluation of courses conducted by the Ministry of…

Management of the slowly emerging zoonosis, Hendra virus, by private veterinarians in Queensland, Australia: a qualitative study.

PubMed

Mendez, Diana H; Kelly, Jenny; Buttner, Petra; Nowak, Madeleine; Speare, Rick

2014-09-17

Veterinary infection control for the management of Hendra virus (HeV), an emerging zoonosis in Australia, remained suboptimal until 2010 despite 71.4% (5/7) of humans infected with HeV being veterinary personnel or assisting a veterinarian, three of whom died before 2009. The aim of this study was to identify the perceived barriers to veterinary infection control and HeV management in private veterinary practice in Queensland, where the majority of HeV outbreaks have occurred in Australia. Most participants agreed that a number of key factors had contributed to the slow uptake of adequate infection control measures for the management of HeV amongst private veterinarians: a work culture characterised by suboptimal infection control standards and misconceptions about zoonotic risks; a lack of leadership and support from government authorities; the difficulties of managing biosecurity and public health issues from a private workforce perspective; and the slow pattern of emergence of HeV. By 2010, some infection control and HeV management changes had been implemented. Participants interviewed agreed that further improvements remained necessary; but also cautioned that this was a complex process which would require time. Private veterinarians and government authorities prior to 2009 were unprepared to handle new slowly emerging zoonoses, which may explain their mismanagement of HeV. Slowly emerging zoonoses may be of low public health significance but of high significance for specialised groups such as veterinarians. Private veterinarians, who are expected to fulfil an active biosecurity and public health role in the frontline management of such emerging zoonoses, need government agencies to better recognise their contribution, to consult with the veterinary profession when devising guidelines for the management of zoonoses and to provide them with greater leadership and support. We propose that specific infection control guidelines for the management of slowly emerging zoonoses in private veterinary settings need to be developed.

Polynomial interpretation of multipole vectors

NASA Astrophysics Data System (ADS)

Katz, Gabriel; Weeks, Jeff

2004-09-01

Copi, Huterer, Starkman, and Schwarz introduced multipole vectors in a tensor context and used them to demonstrate that the first-year Wilkinson microwave anisotropy probe (WMAP) quadrupole and octopole planes align at roughly the 99.9% confidence level. In the present article, the language of polynomials provides a new and independent derivation of the multipole vector concept. Bézout’s theorem supports an elementary proof that the multipole vectors exist and are unique (up to rescaling). The constructive nature of the proof leads to a fast, practical algorithm for computing multipole vectors. We illustrate the algorithm by finding exact solutions for some simple toy examples and numerical solutions for the first-year WMAP quadrupole and octopole. We then apply our algorithm to Monte Carlo skies to independently reconfirm the estimate that the WMAP quadrupole and octopole planes align at the 99.9% level.

LANDMARK-BASED SPEECH RECOGNITION: REPORT OF THE 2004 JOHNS HOPKINS SUMMER WORKSHOP.

PubMed

Hasegawa-Johnson, Mark; Baker, James; Borys, Sarah; Chen, Ken; Coogan, Emily; Greenberg, Steven; Juneja, Amit; Kirchhoff, Katrin; Livescu, Karen; Mohan, Srividya; Muller, Jennifer; Sonmez, Kemal; Wang, Tianyu

2005-01-01

Three research prototype speech recognition systems are described, all of which use recently developed methods from artificial intelligence (specifically support vector machines, dynamic Bayesian networks, and maximum entropy classification) in order to implement, in the form of an automatic speech recognizer, current theories of human speech perception and phonology (specifically landmark-based speech perception, nonlinear phonology, and articulatory phonology). All three systems begin with a high-dimensional multiframe acoustic-to-distinctive feature transformation, implemented using support vector machines trained to detect and classify acoustic phonetic landmarks. Distinctive feature probabilities estimated by the support vector machines are then integrated using one of three pronunciation models: a dynamic programming algorithm that assumes canonical pronunciation of each word, a dynamic Bayesian network implementation of articulatory phonology, or a discriminative pronunciation model trained using the methods of maximum entropy classification. Log probability scores computed by these models are then combined, using log-linear combination, with other word scores available in the lattice output of a first-pass recognizer, and the resulting combination score is used to compute a second-pass speech recognition output.

Experimental and computational prediction of glass transition temperature of drugs.

PubMed

Alzghoul, Ahmad; Alhalaweh, Amjad; Mahlin, Denny; Bergström, Christel A S

2014-12-22

Glass transition temperature (Tg) is an important inherent property of an amorphous solid material which is usually determined experimentally. In this study, the relation between Tg and melting temperature (Tm) was evaluated using a data set of 71 structurally diverse druglike compounds. Further, in silico models for prediction of Tg were developed based on calculated molecular descriptors and linear (multilinear regression, partial least-squares, principal component regression) and nonlinear (neural network, support vector regression) modeling techniques. The models based on Tm predicted Tg with an RMSE of 19.5 K for the test set. Among the five computational models developed herein the support vector regression gave the best result with RMSE of 18.7 K for the test set using only four chemical descriptors. Hence, two different models that predict Tg of drug-like molecules with high accuracy were developed. If Tm is available, a simple linear regression can be used to predict Tg. However, the results also suggest that support vector regression and calculated molecular descriptors can predict Tg with equal accuracy, already before compound synthesis.

Anticipatory Monitoring and Control of Complex Systems using a Fuzzy based Fusion of Support Vector Regressors

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

Miltiadis Alamaniotis; Vivek Agarwal

This paper places itself in the realm of anticipatory systems and envisions monitoring and control methods being capable of making predictions over system critical parameters. Anticipatory systems allow intelligent control of complex systems by predicting their future state. In the current work, an intelligent model aimed at implementing anticipatory monitoring and control in energy industry is presented and tested. More particularly, a set of support vector regressors (SVRs) are trained using both historical and observed data. The trained SVRs are used to predict the future value of the system based on current operational system parameter. The predicted values are thenmore » inputted to a fuzzy logic based module where the values are fused to obtain a single value, i.e., final system output prediction. The methodology is tested on real turbine degradation datasets. The outcome of the approach presented in this paper highlights the superiority over single support vector regressors. In addition, it is shown that appropriate selection of fuzzy sets and fuzzy rules plays an important role in improving system performance.« less

Incremental classification learning for anomaly detection in medical images

NASA Astrophysics Data System (ADS)

Giritharan, Balathasan; Yuan, Xiaohui; Liu, Jianguo

2009-02-01

Computer-aided diagnosis usually screens thousands of instances to find only a few positive cases that indicate probable presence of disease.The amount of patient data increases consistently all the time. In diagnosis of new instances, disagreement occurs between a CAD system and physicians, which suggests inaccurate classifiers. Intuitively, misclassified instances and the previously acquired data should be used to retrain the classifier. This, however, is very time consuming and, in some cases where dataset is too large, becomes infeasible. In addition, among the patient data, only a small percentile shows positive sign, which is known as imbalanced data.We present an incremental Support Vector Machines(SVM) as a solution for the class imbalance problem in classification of anomaly in medical images. The support vectors provide a concise representation of the distribution of the training data. Here we use bootstrapping to identify potential candidate support vectors for future iterations. Experiments were conducted using images from endoscopy videos, and the sensitivity and specificity were close to that of SVM trained using all samples available at a given incremental step with significantly improved efficiency in training the classifier.

Agricultural mapping using Support Vector Machine-Based Endmember Extraction (SVM-BEE)

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

Archibald, Richard K; Filippi, Anthony M; Bhaduri, Budhendra L

Extracting endmembers from remotely sensed images of vegetated areas can present difficulties. In this research, we applied a recently developed endmember-extraction algorithm based on Support Vector Machines (SVMs) to the problem of semi-autonomous estimation of vegetation endmembers from a hyperspectral image. This algorithm, referred to as Support Vector Machine-Based Endmember Extraction (SVM-BEE), accurately and rapidly yields a computed representation of hyperspectral data that can accommodate multiple distributions. The number of distributions is identified without prior knowledge, based upon this representation. Prior work established that SVM-BEE is robustly noise-tolerant and can semi-automatically and effectively estimate endmembers; synthetic data and a geologicmore » scene were previously analyzed. Here we compared the efficacies of the SVM-BEE and N-FINDR algorithms in extracting endmembers from a predominantly agricultural scene. SVM-BEE was able to estimate vegetation and other endmembers for all classes in the image, which N-FINDR failed to do. Classifications based on SVM-BEE endmembers were markedly more accurate compared with those based on N-FINDR endmembers.« less

Exploring the capabilities of support vector machines in detecting silent data corruptions

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

Subasi, Omer; Di, Sheng; Bautista-Gomez, Leonardo

As the exascale era approaches, the increasing capacity of high-performance computing (HPC) systems with targeted power and energy budget goals introduces significant challenges in reliability. Silent data corruptions (SDCs), or silent errors, are one of the major sources that corrupt the execution results of HPC applications without being detected. Here in this paper, we explore a set of novel SDC detectors – by leveraging epsilon-insensitive support vector machine regression – to detect SDCs that occur in HPC applications. The key contributions are threefold. (1) Our exploration takes temporal, spatial, and spatiotemporal features into account and analyzes different detectors based onmore » different features. (2) We provide an in-depth study on the detection ability and performance with different parameters, and we optimize the detection range carefully. (3) Experiments with eight real-world HPC applications show that support-vector-machine-based detectors can achieve detection sensitivity (i.e., recall) up to 99% yet suffer a less than 1% false positive rate for most cases. Our detectors incur low performance overhead, 5% on average, for all benchmarks studied in this work.« less

Exploring the capabilities of support vector machines in detecting silent data corruptions

DOE PAGES

Subasi, Omer; Di, Sheng; Bautista-Gomez, Leonardo; ...

2018-02-01

As the exascale era approaches, the increasing capacity of high-performance computing (HPC) systems with targeted power and energy budget goals introduces significant challenges in reliability. Silent data corruptions (SDCs), or silent errors, are one of the major sources that corrupt the execution results of HPC applications without being detected. Here in this paper, we explore a set of novel SDC detectors – by leveraging epsilon-insensitive support vector machine regression – to detect SDCs that occur in HPC applications. The key contributions are threefold. (1) Our exploration takes temporal, spatial, and spatiotemporal features into account and analyzes different detectors based onmore » different features. (2) We provide an in-depth study on the detection ability and performance with different parameters, and we optimize the detection range carefully. (3) Experiments with eight real-world HPC applications show that support-vector-machine-based detectors can achieve detection sensitivity (i.e., recall) up to 99% yet suffer a less than 1% false positive rate for most cases. Our detectors incur low performance overhead, 5% on average, for all benchmarks studied in this work.« less

Optimizing support vector machine learning for semi-arid vegetation mapping by using clustering analysis

NASA Astrophysics Data System (ADS)

Su, Lihong

In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully determined by support vectors, which compose a subset of the training sets. In this regard, a solution to optimize SVM learning is to efficiently reduce training sets. In this paper, a data reduction method based on agglomerative hierarchical clustering is proposed to obtain smaller training sets for SVM learning. Using a multiple angle remote sensing dataset of a semi-arid region, the effectiveness of the proposed method is evaluated by classification experiments with a series of reduced training sets. The experiments show that there is no loss of SVM accuracy when the original training set is reduced to 34% using the proposed approach. Maximum likelihood classification (MLC) also is applied on the reduced training sets. The results show that MLC can also maintain the classification accuracy. This implies that the most informative data instances can be retained by this approach.

Clifford support vector machines for classification, regression, and recurrence.

PubMed

Bayro-Corrochano, Eduardo Jose; Arana-Daniel, Nancy

2010-11-01

This paper introduces the Clifford support vector machines (CSVM) as a generalization of the real and complex-valued support vector machines using the Clifford geometric algebra. In this framework, we handle the design of kernels involving the Clifford or geometric product. In this approach, one redefines the optimization variables as multivectors. This allows us to have a multivector as output. Therefore, we can represent multiple classes according to the dimension of the geometric algebra in which we work. We show that one can apply CSVM for classification and regression and also to build a recurrent CSVM. The CSVM is an attractive approach for the multiple input multiple output processing of high-dimensional geometric entities. We carried out comparisons between CSVM and the current approaches to solve multiclass classification and regression. We also study the performance of the recurrent CSVM with experiments involving time series. The authors believe that this paper can be of great use for researchers and practitioners interested in multiclass hypercomplex computing, particularly for applications in complex and quaternion signal and image processing, satellite control, neurocomputation, pattern recognition, computer vision, augmented virtual reality, robotics, and humanoids.

Analysis of programming properties and the row-column generation method for 1-norm support vector machines.

PubMed

Zhang, Li; Zhou, WeiDa

2013-12-01

This paper deals with fast methods for training a 1-norm support vector machine (SVM). First, we define a specific class of linear programming with many sparse constraints, i.e., row-column sparse constraint linear programming (RCSC-LP). In nature, the 1-norm SVM is a sort of RCSC-LP. In order to construct subproblems for RCSC-LP and solve them, a family of row-column generation (RCG) methods is introduced. RCG methods belong to a category of decomposition techniques, and perform row and column generations in a parallel fashion. Specially, for the 1-norm SVM, the maximum size of subproblems of RCG is identical with the number of Support Vectors (SVs). We also introduce a semi-deleting rule for RCG methods and prove the convergence of RCG methods when using the semi-deleting rule. Experimental results on toy data and real-world datasets illustrate that it is efficient to use RCG to train the 1-norm SVM, especially in the case of small SVs. Copyright © 2013 Elsevier Ltd. All rights reserved.

Application of support vector machines for copper potential mapping in Kerman region, Iran

NASA Astrophysics Data System (ADS)

Shabankareh, Mahdi; Hezarkhani, Ardeshir

2017-04-01

The first step in systematic exploration studies is mineral potential mapping, which involves classification of the study area to favorable and unfavorable parts. Support vector machines (SVM) are designed for supervised classification based on statistical learning theory. This method named support vector classification (SVC). This paper describes SVC model, which combine exploration data in the regional-scale for copper potential mapping in Kerman copper bearing belt in south of Iran. Data layers or evidential maps were in six datasets namely lithology, tectonic, airborne geophysics, ferric alteration, hydroxide alteration and geochemistry. The SVC modeling result selected 2220 pixels as favorable zones, approximately 25 percent of the study area. Besides, 66 out of 86 copper indices, approximately 78.6% of all, were located in favorable zones. Other main goal of this study was to determine how each input affects favorable output. For this purpose, the histogram of each normalized input data to its favorable output was drawn. The histograms of each input dataset for favorable output showed that each information layer had a certain pattern. These patterns of SVC results could be considered as regional copper exploration characteristics.

Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain).

PubMed

García Nieto, P J; Alonso Fernández, J R; de Cos Juez, F J; Sánchez Lasheras, F; Díaz Muñiz, C

2013-04-01

Cyanotoxins, a kind of poisonous substances produced by cyanobacteria, are responsible for health risks in drinking and recreational waters. As a result, anticipate its presence is a matter of importance to prevent risks. The aim of this study is to use a hybrid approach based on support vector regression (SVR) in combination with genetic algorithms (GAs), known as a genetic algorithm support vector regression (GA-SVR) model, in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain). The GA-SVR approach is aimed at highly nonlinear biological problems with sharp peaks and the tests carried out proved its high performance. Some physical-chemical parameters have been considered along with the biological ones. The results obtained are two-fold. In the first place, the significance of each biological and physical-chemical variable on the cyanotoxins presence in the reservoir is determined with success. Finally, a predictive model able to forecast the possible presence of cyanotoxins in a short term was obtained. Copyright © 2013 Elsevier Inc. All rights reserved.

The application of artificial neural networks and support vector regression for simultaneous spectrophotometric determination of commercial eye drop contents

NASA Astrophysics Data System (ADS)

Valizadeh, Maryam; Sohrabi, Mahmoud Reza

2018-03-01

In the present study, artificial neural networks (ANNs) and support vector regression (SVR) as intelligent methods coupled with UV spectroscopy for simultaneous quantitative determination of Dorzolamide (DOR) and Timolol (TIM) in eye drop. Several synthetic mixtures were analyzed for validating the proposed methods. At first, neural network time series, which one type of network from the artificial neural network was employed and its efficiency was evaluated. Afterwards, the radial basis network was applied as another neural network. Results showed that the performance of this method is suitable for predicting. Finally, support vector regression was proposed to construct the Zilomole prediction model. Also, root mean square error (RMSE) and mean recovery (%) were calculated for SVR method. Moreover, the proposed methods were compared to the high-performance liquid chromatography (HPLC) as a reference method. One way analysis of variance (ANOVA) test at the 95% confidence level applied to the comparison results of suggested and reference methods that there were no significant differences between them. Also, the effect of interferences was investigated in spike solutions.

Stakeholder perceptions of a total market approach to family planning in Nicaragua.

PubMed

Drake, Jennifer Kidwell; Espinoza, Henry; Suraratdecha, Chutima; Lacayo, Yann; Keith, Bonnie M; Vail, Janet G

2011-05-01

To assess private-sector stakeholders' and donors' perceptions of a total market approach (TMA) to family planning in Nicaragua in the context of decreased funding; to build evidence for potential strategies and mechanisms for TMA implementation (including public-private partnerships (PPPs)); and to identify information gaps and future priorities for related research and advocacy. A descriptive exploratory study was conducted in various locations in Nicaragua from March to April 2010. A total of 24 key private-sector stakeholders and donors were interviewed and their responses analyzed using two questionnaires and a stakeholder analysis tool (PolicyMakerTM software). All survey participants supported a TMA, and public-private collaboration, in family planning in Nicaragua. Based on the survey responses, opportunities for further developing PPPs for family planning include building on and expanding existing governmental frameworks, such as Nicaragua's current coordination mechanism for contraceptive security. Obstacles include the lack of ongoing government engagement with the commercial (for-profit) sector and confusion about regulations for its involvement in family planning. Strategies for strengthening existing PPPs include establishing a coordination mechanism specifically for the commercial sector and collecting and disseminating evidence supporting public-private collaboration in family planning. There was no formal or absolute opposition to a TMA or PPPs in family planning in Nicaragua among a group of diverse nongovernmental stakeholders and donors. This type of study can help identify strategies to mobilize existing and potential advocates in achieving articulated policy goals, including diversification of funding sources for family planning to achieve contraceptive security.

Vector control programs in Saint Johns County, Florida and Guayas, Ecuador: successes and barriers to integrated vector management

PubMed Central

2014-01-01

Background Vector-borne diseases (VBDs) and mosquito control programs (MCPs) diverge in settings and countries, and lead control specialists need to be aware of the most effective control strategies. Integrated Vector Management (IVM) strategies, once implemented in MCPs, aim to reduce cost and optimize protection of the populations against VBDs. This study presents a strengths, weaknesses, opportunities, and threats (SWOT) analysis to compare IVM strategies used by MCPs in Saint Johns County, Florida and Guayas, Ecuador. This research evaluates MCPs strategies to improve vector control activities. Methods Methods included descriptive findings of the MCP operations. Information was obtained from vector control specialists, directors, and residents through field trips, surveys, and questionnaires. Evaluations of the strategies and assets of the control programs where obtained through SWOT analysis and within an IVM approach. Results Organizationally, the Floridian MCP is a tax-based District able to make decisions independently from county government officials, with the oversight of an elected board of commissioners. The Guayas program is directed by the country government and assessed by non-governmental organizations like the World health Organization. Operationally, the Floridian MCP conducts entomological surveillance and the Ecuadorian MCP focuses on epidemiological monitoring of human disease cases. Strengths of both MCPs were their community participation and educational programs. Weaknesses for both MCPs included limitations in budgets and technical capabilities. Opportunities, for both MCPs, are additional funding and partnerships with private, non-governmental, and governmental organizations. Threats experienced by both MCPs included political constraints and changes in the social and ecological environment that affect mosquito densities and control efforts. IVM pillars for policy making were used to compare the information among the programs. Differences included how the Ecuadorian MCP relies heavily on the community for vector control while the American MCP relies on technologies and research. Conclusion IVM based recommendations direct health policy leaders toward improving surveillance systems both entomologically and epidemiologically, improving community risk perceptions by integrating components of community participation, maximizing resources though the use of applied research, and protecting the environment by selecting low-risk pesticides. Outcomes of the research revealed that inter-sectorial and multidisciplinary interventions are critical to improve public health. PMID:24990155

Institutional NIH Research Funding and a Culture of Support for Family Medicine-Their Relationship to Family Medicine Specialty Choice.

PubMed

Mainous, Arch G; Porter, Maribeth; Agana, Denny Fe; Chessman, Alexander W

2018-05-01

The United States suffers from a low proportion of medical students pursuing family medicine (FM). Our objective was to examine institutional characteristics consistent with a focus on National Institutes of Health (NIH) research, institutional support for FM education, and the proportion of medical students choosing FM. The 2015 CERA Survey of Family Medicine Clerkship Directors was merged with institutional NIH funding data from 2014 and medical student specialty choice in 2015. Institutional educational support was operationalized as (1) clerkship director's perception of medical school environment toward FM, and (2) amount of negative comments about FM made by faculty in other departments. The outcome was the percentage of students selecting FM. Bivariate statistics were computed. As NIH funding increases, the proportion of students entering FM decreases (r=-.22). Institutions with higher NIH funding had lower clerkship director perceptions of medical school support toward FM (r=-.38). Among private institutions, the negative correlation between NIH funding and the proportion of students entering FM strengthens to r=-.48, P=.001. As perceptions of support for FM increase, the proportion of students entering FM increase (r=.47). Among private schools, perceptions of support toward family medicine was strongly positively correlated with the proportion of students entering FM (r=.72, P=.001). Higher institutional NIH funding is associated with less support for FM and lower proportions of students choosing FM. These issues appear to be even more influential in private medical schools. Understanding how to integrate the goals of NIH-level research and increasing primary care workforce so that both can be achieved is the next challenge.

Bundles over nearly-Kahler homogeneous spaces in heterotic string theory

NASA Astrophysics Data System (ADS)

Klaput, Michael; Lukas, Andre; Matti, Cyril

2011-09-01

We construct heterotic vacua based on six-dimensional nearly-Kahler homogeneous manifolds and non-trivial vector bundles thereon. Our examples are based on three specific group coset spaces. It is shown how to construct line bundles over these spaces, compute their properties and build up vector bundles consistent with supersymmetry and anomaly cancelation. It turns out that the most interesting coset is SU(3)/U(1)2. This space supports a large number of vector bundles which lead to consistent heterotic vacua, some of them with three chiral families.

Public acceptance and willingness-to-pay for a future dengue vaccine: a community-based survey in Bandung, Indonesia.

PubMed

Hadisoemarto, Panji Fortuna; Castro, Marcia C

2013-01-01

All four serotypes of dengue virus are endemic in Indonesia, where the population at risk for infection exceeds 200 million people. Despite continuous control efforts that were initiated more than four decades ago, Indonesia still suffers from multi-annual cycles of dengue outbreak and dengue remains as a major public health problem. Dengue vaccines have been viewed as a promising solution for controlling dengue in Indonesia, but thus far its potential acceptability has not been assessed. We conducted a household survey in the city of Bandung, Indonesia by administering a questionnaire to examine (i) acceptance of a hypothetical pediatric dengue vaccine; (ii) participant's willingness-to-pay (WTP) for the vaccine, had it not been provided for free; and (iii) whether people think vector control would be unnecessary if the vaccine was available. A proportional odds model and an interval regression model were employed to identify determinants of acceptance and WTP, respectively. We demonstrated that out of 500 heads of household being interviewed, 94.2% would agree to vaccinate their children with the vaccine. Of all participants, 94.6% were willing to pay for the vaccine with a median WTP of US$1.94. In addition, 7.2% stated that vector control would not be necessary had there been a dengue vaccination program. Our results suggest that future dengue vaccines can have a very high uptake even when delivered through the private market. This, however, can be influenced by vaccine characteristics and price. In addition, reduction in community vector control efforts may be observed following vaccine introduction but its potential impact in the transmission of dengue and other vector-borne diseases requires further study.

Public Acceptance and Willingness-to-Pay for a Future Dengue Vaccine: A Community-Based Survey in Bandung, Indonesia

PubMed Central

Hadisoemarto, Panji Fortuna; Castro, Marcia C.

2013-01-01

Background All four serotypes of dengue virus are endemic in Indonesia, where the population at risk for infection exceeds 200 million people. Despite continuous control efforts that were initiated more than four decades ago, Indonesia still suffers from multi-annual cycles of dengue outbreak and dengue remains as a major public health problem. Dengue vaccines have been viewed as a promising solution for controlling dengue in Indonesia, but thus far its potential acceptability has not been assessed. Methodology/Principal Findings We conducted a household survey in the city of Bandung, Indonesia by administering a questionnaire to examine (i) acceptance of a hypothetical pediatric dengue vaccine; (ii) participant's willingness-to-pay (WTP) for the vaccine, had it not been provided for free; and (iii) whether people think vector control would be unnecessary if the vaccine was available. A proportional odds model and an interval regression model were employed to identify determinants of acceptance and WTP, respectively. We demonstrated that out of 500 heads of household being interviewed, 94.2% would agree to vaccinate their children with the vaccine. Of all participants, 94.6% were willing to pay for the vaccine with a median WTP of US$1.94. In addition, 7.2% stated that vector control would not be necessary had there been a dengue vaccination program. Conclusions/Significance Our results suggest that future dengue vaccines can have a very high uptake even when delivered through the private market. This, however, can be influenced by vaccine characteristics and price. In addition, reduction in community vector control efforts may be observed following vaccine introduction but its potential impact in the transmission of dengue and other vector-borne diseases requires further study. PMID:24069482

Engaging scientists: An online survey exploring the experience of innovative biotechnological approaches to controlling vector-borne diseases.

PubMed

Boëte, Christophe; Beisel, Uli; Reis Castro, Luísa; Césard, Nicolas; Reeves, R Guy

2015-08-10

Pioneering technologies (e.g., nanotechnology, synthetic biology or climate engineering) are often associated with potential new risks and uncertainties that can become sources of controversy. The communication of information during their development and open exchanges between stakeholders is generally considered a key issue in their acceptance. While the attitudes of the public to novel technologies have been widely considered there has been relatively little investigation of the perceptions and awareness of scientists working on human or animal diseases transmitted by arthropods. Consequently, we conducted a global survey on 1889 scientists working on aspects of vector-borne diseases, exploring, under the light of a variety of demographic and professional factors, their knowledge and awareness of an emerging biotechnology that has the potential to revolutionize the control of pest insect populations. Despite extensive media coverage of key developments (including releases of manipulated mosquitoes into human communities) this has in only one instance resulted in scientist awareness exceeding 50% on a national or regional scale. We document that awareness of pioneering releases significantly relied on private communication sources that were not equally accessible to scientists from countries with endemic vector-borne diseases (dengue and malaria). In addition, we provide quantitative analysis of the perceptions and knowledge of specific biotechnological approaches to controlling vector-borne disease, which are likely to impact the way in which scientists around the world engage in the debate about their value. Our results indicate that there is scope to strengthen already effective methods of communication, in addition to a strong demand by scientists (expressed by 79.9% of respondents) to develop new, creative modes of public engagement.

Spatially explicit multi-criteria decision analysis for managing vector-borne diseases

PubMed Central

2011-01-01

The complex epidemiology of vector-borne diseases creates significant challenges in the design and delivery of prevention and control strategies, especially in light of rapid social and environmental changes. Spatial models for predicting disease risk based on environmental factors such as climate and landscape have been developed for a number of important vector-borne diseases. The resulting risk maps have proven value for highlighting areas for targeting public health programs. However, these methods generally only offer technical information on the spatial distribution of disease risk itself, which may be incomplete for making decisions in a complex situation. In prioritizing surveillance and intervention strategies, decision-makers often also need to consider spatially explicit information on other important dimensions, such as the regional specificity of public acceptance, population vulnerability, resource availability, intervention effectiveness, and land use. There is a need for a unified strategy for supporting public health decision making that integrates available data for assessing spatially explicit disease risk, with other criteria, to implement effective prevention and control strategies. Multi-criteria decision analysis (MCDA) is a decision support tool that allows for the consideration of diverse quantitative and qualitative criteria using both data-driven and qualitative indicators for evaluating alternative strategies with transparency and stakeholder participation. Here we propose a MCDA-based approach to the development of geospatial models and spatially explicit decision support tools for the management of vector-borne diseases. We describe the conceptual framework that MCDA offers as well as technical considerations, approaches to implementation and expected outcomes. We conclude that MCDA is a powerful tool that offers tremendous potential for use in public health decision-making in general and vector-borne disease management in particular. PMID:22206355

A Mathematical and Sociological Analysis of Google Search Algorithm

DTIC Science & Technology

2013-01-16

through the collective intelligence of the web to determine a page’s importance. Let v be a vector of RN with N ≥ 8 billion. Any unit vector in RN is...scrolled up by some artifical hits. Aknowledgment: The authors would like to thank Dr. John Lavery for his encouragement and support which enable them to

Automated Creation of Labeled Pointcloud Datasets in Support of Machine-Learning Based Perception

DTIC Science & Technology

2017-12-01

computationally intensive 3D vector math and took more than ten seconds to segment a single LIDAR frame from the HDL-32e with the Dell XPS15 9650’s Intel...Core i7 CPU. Depth Clustering avoids the computationally intensive 3D vector math of Euclidean Clustering-based DON segmentation and, instead

EMMA: An Extensible Mammalian Modular Assembly Toolkit for the Rapid Design and Production of Diverse Expression Vectors.

PubMed

Martella, Andrea; Matjusaitis, Mantas; Auxillos, Jamie; Pollard, Steven M; Cai, Yizhi

2017-07-21

Mammalian plasmid expression vectors are critical reagents underpinning many facets of research across biology, biomedical research, and the biotechnology industry. Traditional cloning methods often require laborious manual design and assembly of plasmids using tailored sequential cloning steps. This process can be protracted, complicated, expensive, and error-prone. New tools and strategies that facilitate the efficient design and production of bespoke vectors would help relieve a current bottleneck for researchers. To address this, we have developed an extensible mammalian modular assembly kit (EMMA). This enables rapid and efficient modular assembly of mammalian expression vectors in a one-tube, one-step golden-gate cloning reaction, using a standardized library of compatible genetic parts. The high modularity, flexibility, and extensibility of EMMA provide a simple method for the production of functionally diverse mammalian expression vectors. We demonstrate the value of this toolkit by constructing and validating a range of representative vectors, such as transient and stable expression vectors (transposon based vectors), targeting vectors, inducible systems, polycistronic expression cassettes, fusion proteins, and fluorescent reporters. The method also supports simple assembly combinatorial libraries and hierarchical assembly for production of larger multigenetic cargos. In summary, EMMA is compatible with automated production, and novel genetic parts can be easily incorporated, providing new opportunities for mammalian synthetic biology.

Effects of Cucumber mosaic virus infection on vector and non-vector herbivores of squash.

PubMed

Mauck, Kerry E; De Moraes, Consuelo M; Mescher, Mark C

2010-11-01

Plant chemicals mediating interactions with insect herbivores seem a likely target for manipulation by insectvectored plant pathogens. Yet, little is currently known about the chemical ecology of insect-vectored diseases or their effects on the ecology of vector and nonvector insects. We recently reported that a widespread plant pathogen, Cucumber mosaic virus (CMV), greatly reduces the quality of host-plants (squash) for aphid vectors, but that aphids are nevertheless attracted to the odors of infected plants-which exhibit elevated emissions of a volatile blend otherwise similar to the odor of healthy plants. This finding suggests that exaggerating existing host-location cues can be a viable vector attraction strategy for pathogens that otherwise reduce host quality for vectors. Here we report additional data regarding the effects of CMV infection on plant interactions with a common nonvector herbivore, the squash bug, Anasa tristis, which is a pest in this system. We found that adult A. tristis females preferred to oviposit on healthy plants in the field, and that healthy plants supported higher populations of nymphs. Collectively, our recent findings suggest that CMV-induced changes in host plant chemistry influence the behavior of both vector and non-vector herbivores, with significant implications both for disease spread and for broader community-level interactions.

Community care: the independent sector.

PubMed Central

Barodawala, S.

1996-01-01

The independent sector, which consists of the voluntary and private sectors, is a vital element in supporting older people in the community. The voluntary sector, coordinated by the Council for Voluntary Service and the National Council for Voluntary Organisations, provides a variety of services, including practical help, reassurance and companionship, and advice, information, campaigning, and advocacy. The private sector owns all of the nursing homes and most of the residential homes and is gradually becoming more involved with the provision of services to help support older people in their own homes. With this increase in size and importance of the independent sector over recent years, there is now a real need for greater communication between the private, voluntary, and statutory agencies in any one region. In some areas, forums made up of representatives of these various sectors meet to discuss relevant issues and construct local policies, thus allowing a more coordinated approach to the delivery of services. Images p740-a p742-a PMID:8819449

Utilization of HIV-related services from the private health sector: A multi-country analysis.

PubMed

Wang, Wenjuan; Sulzbach, Sara; De, Susna

2011-01-01

Increasing the participation of the private health sector in the AIDS response could help to achieve universal access to comprehensive HIV prevention, treatment, care and support. Yet little is known about the extent to which the private health sector is delivering HIV-related services. This study uses data from the Demographic and Health Surveys (DHS) and AIDS Indicator Surveys (AIS) from 12 countries in Africa, Asia and Latin America and the Caribbean to explore use of HIV testing and STI care from the private for-profit sector, and its association with household wealth status. The analysis indicates that the private for-profit health sector is active in HIV-related service delivery, although the level of participation varies by region and country. From 3 to 45 percent of women and 6 to 42 percent of men reported the private for-profit sector as their source of the most recent HIV testing. While in some countries, use of the private for-profit health sector for HIV testing and STI care increases with wealth, in others the relationship is not clear, as there are no significant differences in using private for-profit HIV-related services between the rich and the poor. We conclude that as the global AIDS response evolves from emergency relief to sustained country programs, broader consideration of the role of the private for-profit health sector may be warranted. Copyright © 2010 Elsevier Ltd. All rights reserved.

Scorebox extraction from mobile sports videos using Support Vector Machines

NASA Astrophysics Data System (ADS)

Kim, Wonjun; Park, Jimin; Kim, Changick

2008-08-01

Scorebox plays an important role in understanding contents of sports videos. However, the tiny scorebox may give the small-display-viewers uncomfortable experience in grasping the game situation. In this paper, we propose a novel framework to extract the scorebox from sports video frames. We first extract candidates by using accumulated intensity and edge information after short learning period. Since there are various types of scoreboxes inserted in sports videos, multiple attributes need to be used for efficient extraction. Based on those attributes, the optimal information gain is computed and top three ranked attributes in terms of information gain are selected as a three-dimensional feature vector for Support Vector Machines (SVM) to distinguish the scorebox from other candidates, such as logos and advertisement boards. The proposed method is tested on various videos of sports games and experimental results show the efficiency and robustness of our proposed method.

Discontinuity Detection in the Shield Metal Arc Welding Process

PubMed Central

Cocota, José Alberto Naves; Garcia, Gabriel Carvalho; da Costa, Adilson Rodrigues; de Lima, Milton Sérgio Fernandes; Rocha, Filipe Augusto Santos; Freitas, Gustavo Medeiros

2017-01-01

This work proposes a new methodology for the detection of discontinuities in the weld bead applied in Shielded Metal Arc Welding (SMAW) processes. The detection system is based on two sensors—a microphone and piezoelectric—that acquire acoustic emissions generated during the welding. The feature vectors extracted from the sensor dataset are used to construct classifier models. The approaches based on Artificial Neural Network (ANN) and Support Vector Machine (SVM) classifiers are able to identify with a high accuracy the three proposed weld bead classes: desirable weld bead, shrinkage cavity and burn through discontinuities. Experimental results illustrate the system’s high accuracy, greater than 90% for each class. A novel Hierarchical Support Vector Machine (HSVM) structure is proposed to make feasible the use of this system in industrial environments. This approach presented 96.6% overall accuracy. Given the simplicity of the equipment involved, this system can be applied in the metal transformation industries. PMID:28489045

Discontinuity Detection in the Shield Metal Arc Welding Process.

PubMed

Cocota, José Alberto Naves; Garcia, Gabriel Carvalho; da Costa, Adilson Rodrigues; de Lima, Milton Sérgio Fernandes; Rocha, Filipe Augusto Santos; Freitas, Gustavo Medeiros

2017-05-10

This work proposes a new methodology for the detection of discontinuities in the weld bead applied in Shielded Metal Arc Welding (SMAW) processes. The detection system is based on two sensors-a microphone and piezoelectric-that acquire acoustic emissions generated during the welding. The feature vectors extracted from the sensor dataset are used to construct classifier models. The approaches based on Artificial Neural Network (ANN) and Support Vector Machine (SVM) classifiers are able to identify with a high accuracy the three proposed weld bead classes: desirable weld bead, shrinkage cavity and burn through discontinuities. Experimental results illustrate the system's high accuracy, greater than 90% for each class. A novel Hierarchical Support Vector Machine (HSVM) structure is proposed to make feasible the use of this system in industrial environments. This approach presented 96.6% overall accuracy. Given the simplicity of the equipment involved, this system can be applied in the metal transformation industries.

Private sector participation and health system performance in sub-saharan Africa.

PubMed

Yoong, Joanne; Burger, Nicholas; Spreng, Connor; Sood, Neeraj

2010-10-07

The role of the private health sector in developing countries remains a much-debated and contentious issue. Critics argue that the high prices charged in the private sector limits the use of health care among the poorest, consequently reducing access and equity in the use of health care. Supporters argue that increased private sector participation might improve access and equity by bringing in much needed resources for health care and by allowing governments to increase focus on underserved populations. However, little empirical exists for or against either side of this debate. We examine the association between private sector participation and self-reported measures of utilization and equity in deliveries and treatment of childhood respiratory disease using regression analysis, across a sample of nationally-representative Demographic and Health Surveys from 34 SSA economies. We also examine the correlation between private sector participation and key background factors (socioeconomic development, business environment and governance) and use multivariate regression to control for potential confounders. Private sector participation is positively associated with greater overall access and reduced disparities between rich and poor as well as urban and rural populations. The positive association between private sector participation and improved health system performance is robust to controlling for confounders including per capita income and maternal education. Private sector participation is positively correlated with measures of socio-economic development and favorable business environment. Greater participation is associated with favorable intermediate outcomes in terms of access and equity. While these results do not establish a causal link between private sector participation and health system performance, they suggest that there is no deleterious link between private sector participation and health system performance in SSA.

Evaluation of available data sources to prioritize parishes for arsenic monitoring and outreach related to private well drinking water.

PubMed

Katner, Adrienne; Lackovic, Michelle; Streva, Kate; Paul, Vanessa; Trachtman, William Clay

2015-01-01

The objective of this assessment was to identify and evaluate data sets for use in the surveillance of arsenic hazards and private well drinking water use in Louisiana. Features, strengths, and limitations of the data sets are described, and prioritization criteria are applied to identify areas in need of further monitoring or outreach. Recent efforts have been made by the Environmental Public Health Tracking Network to evaluate the quality of private well water data for the purpose of supporting state and national surveillance activities. Like most states, Louisiana does not collect or mandate reporting of private well water quality data. Therefore, responding to public concerns about private well water quality requires an identification and evaluation of existing data. Data evaluated include measures of arsenic in groundwater and soil, private well water use, and biomonitoring results. The Environmental Protection Agency's Safe Drinking Water Information System and the US Geological Survey's Water Use data set were the most informative, nationally available data sets for conducting private well water arsenic surveillance. Three priority parishes were identified on the basis of a selection criteria, although all parishes require more private well sampling data. While the data reviewed enabled preliminary identification of parishes in need of monitoring and outreach, data limitations (particularly, a lack of statewide well water quality data) prevent a comprehensive evaluation of well water arsenic hazards and private well water use. A large number of unregistered wells further impede risk determination. Reliance on existing data sources is necessary, but development of metadata documentation is essential to prevent data misinterpretation. Increased outreach and policies to promote or mandate private well testing and reporting are needed to enable a comprehensive private well water tracking system.

Review of US medical school finances, 1996-1997.

PubMed

Jones, R F; Ganem, J L; Williams, D J; Krakower, J Y

1998-09-02

Based on data from the Annual Medical School Questionnaire of the Liaison Committee on Medical Education, to which 100% of schools responded, the revenues that supported the programs and activities of the 125 accredited medical schools in the United States totaled $34897 million in 1996-1997. A large proportion (78.9%) of these revenues was derived from 3 sources: practice plans, grants and contracts, and hospital support. Both public and private medical schools, in aggregate, have continued to experience growth throughout the last decade but at a progressively slower rate, primarily because of a slowing in the growth of practice plan revenues. Federal revenues supporting research in public and private medical schools since 1992-1993 have grown at annualized, constant-dollar rates of 5.6% and 4%, respectively. Growth in state and local appropriations to public medical schools has tended to lag behind inflation. Growth in reported revenues from endowments that are used to support programs at private medical schools is on the rise. The aggregate numbers mask considerable variation among schools with regard to changes in financing. A small, but appreciable, number of schools have witnessed a constant-dollar decline in their total practice plan revenues since 1992-1993. The financial data reviewed in this report demonstrate the continued dependence of medical schools on faculty-generated sources of revenue and confirm the perception that medical schools, as a group, are experiencing constraints on the growth of their enterprises.

Weighing public and private options for reforming long-term care financing: findings from a national survey of specialists.

PubMed

Miller, Edward Alan; Mor, Vincent; Clark, Melissa

2010-08-01

Deficiencies in current long-term care (LTC) financing models are substantial and must be addressed if the nation is going to meet the needs of the growing population of frail and disabled elders. Because debate over reforming LTC financing has traditionally focused on the relative roles of the public and private sectors, this article examines what characteristics predispose LTC specialists to weigh one approach--public or private--more than the other. Data are derived from a Web-based survey of 1,147 individuals with known or demonstrable experience with LTC, including consumer advocates, provider representatives, policy experts, and public officials. Results suggest that support for spurring private sector mechanisms, bolstering the government's role, and reforming Medicare and Medicaid vary with key characteristics of the respondents, including experiential, attitudinal, and background variables. Findings also suggest consensus that reform of LTC financing should improve on the current public-private partnership in this area.

Demand for private health insurance: how important is the quality gap?

PubMed

Costa, Joan; García, Jaume

2003-07-01

Perceived quality of private and public health care, income and insurance premium are among the determinants of demand for private health insurance (PHI). In the context of a model in which individuals are expected utility maximizers, the non purchasing choice can result in consuming either public health care or private health care with full cost paid out-of-pocket. This paper empirically analyses the effect of the determinants of the demand for PHI on the probability of purchasing PHI by estimating a pseudo-structural model to deal with missing data and endogeneity issues. Our findings support the hypothesis that the demand for PHI is indeed driven by the quality gap between private and public health care. As expected, PHI is a normal good and a rise in the insurance premium reduces the probability of purchasing PHI albeit displaying price elasticities smaller than one in absolute value for different groups of individuals. Copyright 2002 John Wiley & Sons, Ltd.

Analysis of Particle Content of Recombinant Adeno-Associated Virus Serotype 8 Vectors by Ion-Exchange Chromatography

PubMed Central

Lock, Martin; Alvira, Mauricio R.

2012-01-01

Abstract Advances in adeno-associated virus (AAV)-mediated gene therapy have brought the possibility of commercial manufacturing of AAV vectors one step closer. To realize this prospect, a parallel effort with the goal of ever-increasing sophistication for AAV vector production technology and supporting assays will be required. Among the important release assays for a clinical gene therapy product, those monitoring potentially hazardous contaminants are most critical for patient safety. A prominent contaminant in many AAV vector preparations is vector particles lacking a genome, which can substantially increase the dose of AAV capsid proteins and lead to possible unwanted immunological consequences. Current methods to determine empty particle content suffer from inconsistency, are adversely affected by contaminants, or are not applicable to all serotypes. Here we describe the development of an ion-exchange chromatography-based assay that permits the rapid separation and relative quantification of AAV8 empty and full vector particles through the application of shallow gradients and a strong anion-exchange monolith chromatography medium. PMID:22428980

Vector-borne diseases in Haiti: a review.

PubMed

Ben-Chetrit, Eli; Schwartz, Eli

2015-01-01

Haiti lies on the western third of the island of Hispaniola in the Caribbean, and is one of the poorest nations in the Western hemisphere. Haiti attracts a lot of medical attention and support due to severe natural disasters followed by disastrous health consequences. Vector-borne infections are still prevalent there with some unique aspects comparing it to Latin American countries and other Caribbean islands. Although vector-borne viral diseases such as dengue and recently chikungunya can be found in many of the Caribbean islands, including Haiti, there is an apparent distinction of the vector-borne parasitic diseases. Contrary to neighboring Carribbean islands, Haiti is highly endemic for malaria, lymphatic filariasis and mansonellosis. Affected by repeat natural disasters, poverty and lack of adequate infrastructure, control of transmission within Haiti and prevention of dissemination of vector-borne pathogens to other regions is challenging. In this review we summarize some aspects concerning diseases caused by vector-borne pathogens in Haiti. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Shellcode Detection Method Based on Full Native API Sequence and Support Vector Machine

NASA Astrophysics Data System (ADS)

Cheng, Yixuan; Fan, Wenqing; Huang, Wei; An, Jing

2017-09-01

Dynamic monitoring the behavior of a program is widely used to discriminate between benign program and malware. It is usually based on the dynamic characteristics of a program, such as API call sequence or API call frequency to judge. The key innovation of this paper is to consider the full Native API sequence and use the support vector machine to detect the shellcode. We also use the Markov chain to extract and digitize Native API sequence features. Our experimental results show that the method proposed in this paper has high accuracy and low detection rate.

Localization of U(1) gauge vector field on flat branes with five-dimension (asymptotic) AdS5 spacetime

NASA Astrophysics Data System (ADS)

Zhao, Zhen-Hua; Xie, Qun-Ying

2018-05-01

In order to localize U(1) gauge vector field on Randall-Sundrum-like braneworld model with infinite extra dimension, we propose a new kind of non-minimal coupling between the U(1) gauge field and the gravity. We propose three kinds of coupling methods and they all support the localization of zero mode. In addition, one of them can support the localization of massive modes. Moreover, the massive tachyonic modes can be excluded. And our method can be used not only in the thin braneword models but also in the thick ones.

Support vector machine multiuser receiver for DS-CDMA signals in multipath channels.

PubMed

Chen, S; Samingan, A K; Hanzo, L

2001-01-01

The problem of constructing an adaptive multiuser detector (MUD) is considered for direct sequence code division multiple access (DS-CDMA) signals transmitted through multipath channels. The emerging learning technique, called support vector machines (SVM), is proposed as a method of obtaining a nonlinear MUD from a relatively small training data block. Computer simulation is used to study this SVM MUD, and the results show that it can closely match the performance of the optimal Bayesian one-shot detector. Comparisons with an adaptive radial basis function (RBF) MUD trained by an unsupervised clustering algorithm are discussed.

Estimation of perceptible water vapor of atmosphere using artificial neural network, support vector machine and multiple linear regression algorithm and their comparative study

NASA Astrophysics Data System (ADS)

Shastri, Niket; Pathak, Kamlesh

2018-05-01

The water vapor content in atmosphere plays very important role in climate. In this paper the application of GPS signal in meteorology is discussed, which is useful technique that is used to estimate the perceptible water vapor of atmosphere. In this paper various algorithms like artificial neural network, support vector machine and multiple linear regression are use to predict perceptible water vapor. The comparative studies in terms of root mean square error and mean absolute errors are also carried out for all the algorithms.

Implementation of support vector machine for classification of speech marked hijaiyah letters based on Mel frequency cepstrum coefficient feature extraction

NASA Astrophysics Data System (ADS)

Adhi Pradana, Wisnu; Adiwijaya; Novia Wisesty, Untari

2018-03-01

Support Vector Machine or commonly called SVM is one method that can be used to process the classification of a data. SVM classifies data from 2 different classes with hyperplane. In this study, the system was built using SVM to develop Arabic Speech Recognition. In the development of the system, there are 2 kinds of speakers that have been tested that is dependent speakers and independent speakers. The results from this system is an accuracy of 85.32% for speaker dependent and 61.16% for independent speakers.

A discrete choice experiment studying students' preferences for scholarships to private medical schools in Japan.

PubMed

Goto, Rei; Kakihara, Hiroaki

2016-02-09

The shortage of physicians in rural areas and in some specialties is a societal problem in Japan. Expensive tuition in private medical schools limits access to them particularly for students from middle- and low-income families. One way to reduce this barrier and lessen maldistribution is to offer conditional scholarships to private medical schools. A discrete choice experiment is carried out on a total of 374 students considering application to medical schools. The willingness to receive a conditional scholarship program to private medical schools is analyzed. The probability of attending private medical schools significantly decreased because of high tuition, a postgraduate obligation to provide a service in specific specialty areas, and the length of time of this obligation. An obligation to provide a service in rural regions had no significant effect on this probability. To motivate non-applicants to private medical schools to enroll in such schools, a decrease in tuition to around 1.2 million yen (US$ 12,000) or less, which is twice that of public schools, was found to be necessary. Further, it was found that non-applicants to private medical schools choose to apply to such schools even with restrictions if they have tuition support at the public school level. Conditional scholarships for private medical schools may widen access to medical education and simultaneously provide incentives to work in insufficiently served areas.

Exposure to vector-borne pathogens in candidate blood donor and free-roaming dogs of northeast Italy.

PubMed

Vascellari, Marta; Ravagnan, Silvia; Carminato, Antonio; Cazzin, Stefania; Carli, Erika; Da Rold, Graziana; Lucchese, Laura; Natale, Alda; Otranto, Domenico; Capelli, Gioia

2016-06-29

Many vector-borne pathogens including viruses, bacteria, protozoa and nematodes occur in northeast Italy, representing a potential threat to animal and human populations. Little information is available on the circulation of the above vector-borne pathogens in dogs. This work aims to (i) assess exposure to and circulation of pathogens transmitted to dogs in northeast Italy by ticks, sandflies, and mosquitoes, and (ii) drive blood donor screening at the newly established canine blood bank of the Istituto Zooprofilattico Sperimentale delle Venezie. Blood samples from 150 privately-owned canine candidate blood donors and 338 free-roaming dogs were screened by serology (IFA for Leishmania infantum, Ehrlichia canis, Anaplasma phagocythophilum, Babesia canis, Rickettsia conorii, R. rickettsii), microscopic blood smear examination, and blood filtration for Dirofilaria spp. All candidate donors and seropositive free-roaming dogs were tested by PCR for L. infantum, E. canis, A. phagocythophilum, Babesia/Theileria and Rickettsia spp. The dogs had no clinical signs at the time of sampling. Overall, 40 candidate donors (26.7 %) and 108 free-roaming dogs (32 %) were seroreactive to at least one vector-borne pathogen. Seroprevalence in candidate donors vs free-roaming dogs was: Leishmania infantum 6.7 vs 7.1 %; Anaplasma phagocytophilum 4.7 vs 3.3 %; Babesia canis 1.3 vs 2.7 %; Ehrlichia canis none vs 0.9 %; Rickettsia conorii 16 vs 21.3 % and R. rickettsii 11 vs 14.3 %. Seroreactivity to R. rickettsii, which is not reported in Italy, is likely a cross-reaction with other rickettsiae. Filariae, as Dirofilaria immitis (n = 19) and D. repens (n = 2), were identified in free-roaming dogs only. No significant differences were observed between candidate donors and free-roaming dogs either in the overall seroprevalence of vector-borne pathogens or for each individual pathogen. All PCRs and smears performed on blood were negative. This study demonstrated that dogs are considerably exposed to vector-borne pathogens in northeast Italy. Although the dog owners reported regularly using ectoparasiticides against fleas and ticks, their dogs had similar exposure to vector-borne pathogens as free-roaming dogs. This prompts the need to improve owner education on the use of insecticidal and repellent compounds in order to reduce the risk of arthropod bites and exposure to vector-borne pathogens. Based on the absence of pathogens circulating in the blood of healthy dogs, the risk of transmission of these pathogens by blood transfusion seems to be low, depending also on the sensitivity of the tests used for screening.

Social Support and Stress among University Students in Jordan

ERIC Educational Resources Information Center

Hamdan-Mansour, Ayman M.; Dawani, Hania A.

2008-01-01

The purpose of this study was to examine the relationship between perception of social support and perceived stress among university students in Jordan. A sample of 241 university students from private and government universities in Jordan answered self-report questionnaires including the perceived social support scale and perceived stress scale.…