Desired attributes of new graduate nurses as identified by the rural community.

Science.gov (United States)

Sivamalai, S

2008-01-01

Preparing nurse graduates for practice is challenging because of the diversity of skills expected of them. Increasingly consumers are more informed and expect quality care. To identify the attributes a rural community expect in new graduate nurses in order for them to provide quality care. A questionnaire was designed to assess the importance attached to a set of attributes of graduate nurses expected by a rural community. The community included a range of professionals working with government and hospitals, community volunteers and retired people. After pilot testing, the questionnaire was distributed using a cluster sampling technique. A total of 656 completed questionnaires were returned, giving a response rate of 69%. The respondents were asked to rate the importance of each item for the community on a five-point Likert scale (5 = extremely important, 4 = very important, 3 = moderately important, 2 = possibly importantly, and 1 = not important at all). Exploratory factor analysis was performed on the 38 items using SPSS (SPSS inc; Chicago, IL, USA). Principal Components Analysis was applied to identify the number of factors followed by Oblimin rotation. The sample of 656 respondents consisted of 68% females and 30% males (2% did not identify their gender). The majority of the respondents (75.6%) were born in Australia, while 3.2% were born in the UK Kingdom. Principal Components Analysis identified five factors with eigenvalues above one, explaining 47.4% of the total variance. Items that loaded greater than + or - 0.3, (approximately 10% of the common factor variance) was associated with the factor in question. Component 1 was labelled Sympathetic/ Patients' welfare with the item 'Nurses should be sensitive to the emotional needs of patients' showing the highest loading. Component 2 was called Contextual knowledge/ Interpersonal skills. It contained items indicating that nurses should have good personal skills and possess a broad contextual knowledge of issues

Identifying Key Flavors in Strawberries Driving Liking via Internal and External Preference Mapping.

Science.gov (United States)

Oliver, Penelope; Cicerale, Sara; Pang, Edwin; Keast, Russell

2018-04-01

Australian consumers desire the development of a more flavorsome Australian strawberry cultivar. To aid in the development of well-liked strawberries, the attributes driving liking need to be identified. The objective of this research is to apply Preference Mapping (PM) techniques to the descriptive profile of commercial and newly bred strawberry cultivars, together with consumer preference data to determine the flavors contributing to liking. A trained sensory panel (n = 12) used Quantitative Descriptive Analysis (QDA®) methodology to evaluate two appearance, seven aroma, five texture, 10 flavor and 10 aftertaste attributes of three commercial strawberry cultivars and six elite breeding lines grown in Victoria, Australia. Strawberry consumers (n = 150) assessed their liking of the same strawberry cultivars. QDA® significantly discriminated strawberries on 28 of the 34 sensory attributes. There were significant differences in hedonic ratings of strawberries (F(8,714) = 11.5, P = 0.0001), with Hierarchical Cluster Analysis (HCA) identifying three consumer clusters each displaying differing patterns of preference. Internal and external PM techniques were applied to the data to identify the attributes driving consumer acceptability. Sweet, berry, caramel, fruity and floral attributes were identified as most contributing to liking. Sour, citrus, green, astringent, firm and gritty attributes were conversely associated with a reduction in consumer liking. Elite Lines 2 and 6 have been identified as having the broadest appeal, satisfying between 60% and 70% of consumers in the population assessed, thus the introduction of these cultivars should satisfy the largest group of consumers in the Australian market. The results of this research could be applied to breeding programs, to ensure newly bred cultivars express characteristics that were identified as well-liked amongst consumers. In addition, this research provides evidence for marketing strawberries by

On identifying relationships between the flood scaling exponent and basin attributes.

Science.gov (United States)

Medhi, Hemanta; Tripathi, Shivam

2015-07-01

Floods are known to exhibit self-similarity and follow scaling laws that form the basis of regional flood frequency analysis. However, the relationship between basin attributes and the scaling behavior of floods is still not fully understood. Identifying these relationships is essential for drawing connections between hydrological processes in a basin and the flood response of the basin. The existing studies mostly rely on simulation models to draw these connections. This paper proposes a new methodology that draws connections between basin attributes and the flood scaling exponents by using observed data. In the proposed methodology, region-of-influence approach is used to delineate homogeneous regions for each gaging station. Ordinary least squares regression is then applied to estimate flood scaling exponents for each homogeneous region, and finally stepwise regression is used to identify basin attributes that affect flood scaling exponents. The effectiveness of the proposed methodology is tested by applying it to data from river basins in the United States. The results suggest that flood scaling exponent is small for regions having (i) large abstractions from precipitation in the form of large soil moisture storages and high evapotranspiration losses, and (ii) large fractions of overland flow compared to base flow, i.e., regions having fast-responding basins. Analysis of simple scaling and multiscaling of floods showed evidence of simple scaling for regions in which the snowfall dominates the total precipitation.

Idiopathic environmental intolerance attributed to electromagnetic fields (IEI-EMF: A systematic review of identifying criteria

Directory of Open Access Journals (Sweden)

Baliatsas Christos

2012-08-01

Full Text Available Abstract Background Idiopathic environmental intolerance attributed to electromagnetic fields (IEI-EMF remains a complex and unclear phenomenon, often characterized by the report of various, non-specific physical symptoms (NSPS when an EMF source is present or perceived by the individual. The lack of validated criteria for defining and assessing IEI-EMF affects the quality of the relevant research, hindering not only the comparison or integration of study findings, but also the identification and management of patients by health care providers. The objective of this review was to evaluate and summarize the criteria that previous studies employed to identify IEI-EMF participants. Methods An extensive literature search was performed for studies published up to June 2011. We searched EMBASE, Medline, Psychinfo, Scopus and Web of Science. Additionally, citation analyses were performed for key papers, reference sections of relevant papers were searched, conference proceedings were examined and a literature database held by the Mobile Phones Research Unit of King’s College London was reviewed. Results Sixty-three studies were included. “Hypersensitivity to EMF” was the most frequently used descriptive term. Despite heterogeneity, the criteria predominantly used to identify IEI-EMF individuals were: 1. Self-report of being (hypersensitive to EMF. 2. Attribution of NSPS to at least one EMF source. 3. Absence of medical or psychiatric/psychological disorder capable of accounting for these symptoms 4. Symptoms should occur soon (up to 24 hours after the individual perceives an exposure source or exposed area. (Hypersensitivity to EMF was either generalized (attribution to various EMF sources or source-specific. Experimental studies used a larger number of criteria than those of observational design and performed more frequently a medical examination or interview as prerequisite for inclusion. Conclusions Considerable heterogeneity exists in the

An Expressive, Lightweight and Secure Construction of Key Policy Attribute-Based Cloud Data Sharing Access Control

Science.gov (United States)

Lin, Guofen; Hong, Hanshu; Xia, Yunhao; Sun, Zhixin

2017-10-01

Attribute-based encryption (ABE) is an interesting cryptographic technique for flexible cloud data sharing access control. However, some open challenges hinder its practical application. In previous schemes, all attributes are considered as in the same status while they are not in most of practical scenarios. Meanwhile, the size of access policy increases dramatically with the raise of its expressiveness complexity. In addition, current research hardly notices that mobile front-end devices, such as smartphones, are poor in computational performance while too much bilinear pairing computation is needed for ABE. In this paper, we propose a key-policy weighted attribute-based encryption without bilinear pairing computation (KP-WABE-WB) for secure cloud data sharing access control. A simple weighted mechanism is presented to describe different importance of each attribute. We introduce a novel construction of ABE without executing any bilinear pairing computation. Compared to previous schemes, our scheme has a better performance in expressiveness of access policy and computational efficiency.

Parental Health Attributions of Childhood Health and Illness: Development of the Pediatric Cultural Health Attributions Questionnaire (Pedi-CHAQ).

Science.gov (United States)

Vaughn, Lisa M; McLinden, Daniel J; Shellmer, Diana; Baker, Raymond C

2011-01-01

The causes attributed to childhood health and illness across cultures (cultural health attributions) are key factors that are now more frequently identified as affecting the health outcomes of children. Research suggests that the causes attributed to an event such as illness are thought to affect subsequent motivation, emotional response, decision making, and behavior. To date, there is no measure of health attributions appropriate for use with parents of pediatric patients. Using the Many-Facets approach to Rasch analysis, this study assesses the psychometrics of a newly developed instrument, the Pediatric Health Attributions Questionnaire (Pedi-CHAQ), a measure designed to assess the cultural health attributions of parents in diverse communities. Results suggest acceptable Rasch model statistics of fit and reliability for the Pedi-CHAQ. A shortened version of the questionnaire was developed as a result of this study and next steps are discussed.

Research Note Identifying key grazing indicators to monitor trends in ...

African Journals Online (AJOL)

Research Note Identifying key grazing indicators to monitor trends in the veld condition of Lambert's Bay Strandveld, South Africa. ... from which a minimum number of species necessary to monitor trends in the condition of the veld were determined, making it user-friendly for land-users, extension officers and others. The key ...

Improving the Performance Attributes of Plug-in Hybrid Electric Vehicles in Hot Climates through Key-Off Battery Cooling

Directory of Open Access Journals (Sweden)

Sina Shojaei

2017-12-01

Full Text Available Ambient conditions can have a significant impact on the average and maximum temperature of the battery of electric and plug-in hybrid electric vehicles. Given the sensitivity of the ageing mechanisms of typical battery cells to temperature, a significant variability in battery lifetime has been reported with geographical location. In addition, high battery temperature and the associated cooling requirements can cause poor passenger thermal comfort, while extreme battery temperatures can negatively impact the power output of the battery, limiting the available electric traction torque. Avoiding such issues requires enabling battery cooling even when the vehicle is parked and not plugged in (key-off, but the associated extra energy requirements make applying key-off cooling a non-trivial decision. In this paper, a representative plug-in parallel hybrid electric vehicle model is used to simulate a typical 24-h duty cycle to quantify the impact of hot ambient conditions on three performance attributes of the vehicle: the battery lifetime, passenger thermal comfort and fuel economy. Key-off cooling is defined as an optimal control problem in view of the duty cycle of the vehicle. The problem is then solved using the dynamic programming method. Controlling key-off cooling through this method leads to significant improvements in the battery lifetime, while benefiting the fuel economy and thermal comfort attributes. To further improve the battery lifetime, partial charging of the battery is considered. An algorithm is developed that determines the optimum combination of key-off cooling and the level of battery charge. Simulation results confirm the benefits of the proposed method.

Attribute analyses of gpr data for detecting and identifying heavy minerals

Science.gov (United States)

Catakli, Aycan

Attribute analyses have been used successfully in seismic applications for many years. In this study, the application of the attribute analyses to Ground Penetrating Radar (GPR) data has been proposed to detect and identify heavy minerals within the Moon soil (regolith). Lunar samples are mostly composed of heavy minerals such as ilmenite, plagioclase, olivine and pyroxene, a characteristic that makes lunar soil a source for elements such as titanium, oxygen and iron. The main goal of this study is to demonstrate the use of GPR method for detecting and mapping heavy minerals concentrations. The attribute analyses used in this study are Attenuation Analysis (AA), Complex Trace Analysis (CTA), Texture Analysis (TA) and Center Frequency Destitution (CFD). Attribute analysis was applied to both synthetic models and prototype laboratory measurements to study its application to GPR data. The results indicate that the attribute analyses of GPR data can be useful to provide valuable subsurface information. The findings of AA show that attenuation values are function of mineralogy of the subsurface. This could be applicable to Moon and Mars in addition to Earth environment to explore their near-surface soils. CTA can successfully estimate the location of heavy mineral samples embedded inside host medium through the variation of reflected energy around buried sample and sharpen the reflecting interface. Results indicate that as the amount of the buried heavy minerals increases, the value of CTA parameters (Normal distribution of amplitude spectra `NDoAS' and tau-parameter) proportionally increase. TA measures combined can be used as an enhanced interpretation tool. The texture results show that heavy mineral concentrations can be identified by the high contrast, entropy, autocorrelation, correlation, cluster, dissimilarity, standard deviation, variance and low energy, maximum probability, and homogeneity. The measures also help in highlighting the edge of the buried samples

Survey of the perceptions of key stakeholders on the attributes of the South African Notifiable Diseases Surveillance System.

Science.gov (United States)

Benson, F G; Musekiwa, A; Blumberg, L; Rispel, L C

2016-10-25

An effective and efficient notifiable diseases surveillance system (NDSS) is essential for a rapid response to disease outbreaks, and the identification of priority diseases that may cause national, regional or public health emergencies of international concern (PHEICs). Regular assessments of country-based surveillance system are needed to enable countries to respond to outbreaks before they become PHEICs. As part of a broader evaluation of the NDSS in South Africa, the aim of the study was to determine the perceptions of key stakeholders on the national NDSS attributes of acceptability, flexibility, simplicity, timeliness and usefulness. During 2015, we conducted a nationally representative cross-sectional survey of communicable diseases coordinators and surveillance officers, as well as members of NDSS committees. Individuals with less than 1 year experience of the NDSS were excluded. Consenting participants completed a self-administered questionnaire. The questionnaire elicited information on demographic information and perceptions of the NDSS attributes. Data were analysed using descriptive statistics and the unconditional logistic regression model. Most stakeholders interviewed (53 %, 60/114) were involved in disease control and response. The median number of years of experience with the NDSS was 11 years (inter-quartile range (IQR): 5 to 20 years). Regarding the NDSS attributes, 25 % of the stakeholders perceived the system to be acceptable, 51 % to be flexible, 45 % to be timely, 61 % to be useful, and 74 % to be simple. Health management stakeholders perceived the system to be more useful and timely compared to the other stakeholders. Those with more years of experience were less likely to perceive the NDSS system as acceptable (OR 0.91, 95 % CI: 0.84-1.00, p = 0.041); those in disease detection were less likely to perceive it as timely (OR 0.10, 95 % CI: 0.01-0.96, p = 0.046) and those participating in National Outbreak Response Team were

Supplier Selection by Coupling-Attribute Combinatorial Analysis

Directory of Open Access Journals (Sweden)

Xinyu Sun

2017-01-01

Full Text Available Increasing reliance on outsourcing has made supplier selection a critical success factor for a supply chain/network. In addition to cost, the synergy among product components and supplier selection criteria should be considered holistically during the supplier selection process. This paper shows this synergy using coupled-attribute analysis. The key coupling attributes, including total cost, quality, delivery reliability, and delivery lead time of the final product, are identified and formulated. A max-max model is designed to assist the selection of the optional combination of suppliers. The results are compared with the individual supplier selection. Management insights are also discussed.

Framework for Identifying Key Environmental Concerns in Marine Renewable Energy Projects- Appendices

Energy Technology Data Exchange (ETDEWEB)

Kramer, Sharon; Previsic, Mirko; Nelson, Peter; Woo, Sheri

2010-06-17

Marine wave and tidal energy technology could interact with marine resources in ways that are not well understood. As wave and tidal energy conversion projects are planned, tested, and deployed, a wide range of stakeholders will be engaged; these include developers, state and federal regulatory agencies, environmental groups, tribal governments, recreational and commercial fishermen, and local communities. Identifying stakeholders’ environmental concerns in the early stages of the industry’s development will help developers address and minimize potential environmental effects. Identifying important concerns will also assist with streamlining siting and associated permitting processes, which are considered key hurdles by the industry in the U.S. today. In September 2008, RE Vision consulting, LLC was selected by the Department of Energy (DoE) to conduct a scenario-based evaluation of emerging hydrokinetic technologies. The purpose of this evaluation is to identify and characterize environmental impacts that are likely to occur, demonstrate a process for analyzing these impacts, identify the “key” environmental concerns for each scenario, identify areas of uncertainty, and describe studies that could address that uncertainty. This process is intended to provide an objective and transparent tool to assist in decision-making for siting and selection of technology for wave and tidal energy development. RE Vision worked with H. T. Harvey & Associates, to develop a framework for identifying key environmental concerns with marine renewable technology. This report describes the results of this study. This framework was applied to varying wave and tidal power conversion technologies, scales, and locations. The following wave and tidal energy scenarios were considered: 4 wave energy generation technologies 3 tidal energy generation technologies 3 sites: Humboldt coast, California (wave); Makapu’u Point, Oahu, Hawaii (wave); and the Tacoma Narrows, Washington (tidal

Tamper-proof secret image-sharing scheme for identifying cheated secret keys and shared images

Science.gov (United States)

Chen, Chien-Chang; Liu, Chong-An

2013-01-01

A (t,n) secret image-sharing scheme shares a secret image to n participants, and the t users recover the image. During the recovery procedure of a conventional secret image-sharing scheme, cheaters may use counterfeit secret keys or modified shared images to cheat other users' secret keys and shared images. A cheated secret key or shared image leads to an incorrect secret image. Unfortunately, the cheater cannot be identified. We present an exponent and modulus-based scheme to provide a tamper-proof secret image-sharing scheme for identifying cheaters on secret keys or shared images. The proposed scheme allows users to securely select their secret key. This assignment can be performed over networks. Modulus results of each shared image is calculated to recognize cheaters of a shared image. Experimental results indicate that the proposed scheme is excellent at identifying cheated secret keys and shared images.

Determinant attributes in the purchase decision: a study on street food establishments

OpenAIRE

Loriato, Hannah Nicchio; Pelissari, Anderson Soncini

2017-01-01

Abstract The importance of the attributes of a product can vary greatly according to the different consumers, thus we start from the idea that there are different degrees of importance in relation to the attributes and that this importance influences the buying decision. The purpose of this study is to identify which attributes are key in the buying decision-making process for consumers in making buying decisions in establishments that sell street food. It is a study of both qualitative and q...

Methods of Developing User-Friendly Keys to Identify Green Sea Turtles (Chelonia mydas L. from Photographs

Directory of Open Access Journals (Sweden)

Jane R. Lloyd

2012-01-01

Full Text Available Identifying individual animals is important in understanding their ecology and behaviour, as well as providing estimates of population sizes for conservation efforts. We produce identification keys from photographs of green sea turtles to identify them while foraging in Akumal Bay, Mexico. We create three keys, which (a minimise the length of the key, (b present the most obvious differential characteristics first, and (c remove the strict dichotomy from key b. Keys were capable of identifying >99% of turtles in >2500 photographs during the six-month study period. The keys differed significantly in success rate for students to identify individual turtles, with key (c being the best with >70% success and correctly being followed further than other keys before making a mistake. User-friendly keys are, therefore, a suitable method for the photographic identification of turtles and could be used for other large marine vertebrates in conservation or behavioural studies.

A keyword searchable attribute-based encryption scheme with attribute update for cloud storage.

Science.gov (United States)

Wang, Shangping; Ye, Jian; Zhang, Yaling

2018-01-01

Ciphertext-policy attribute-based encryption (CP-ABE) scheme is a new type of data encryption primitive, which is very suitable for data cloud storage for its fine-grained access control. Keyword-based searchable encryption scheme enables users to quickly find interesting data stored in the cloud server without revealing any information of the searched keywords. In this work, we provide a keyword searchable attribute-based encryption scheme with attribute update for cloud storage, which is a combination of attribute-based encryption scheme and keyword searchable encryption scheme. The new scheme supports the user's attribute update, especially in our new scheme when a user's attribute need to be updated, only the user's secret key related with the attribute need to be updated, while other user's secret key and the ciphertexts related with this attribute need not to be updated with the help of the cloud server. In addition, we outsource the operation with high computation cost to cloud server to reduce the user's computational burden. Moreover, our scheme is proven to be semantic security against chosen ciphertext-policy and chosen plaintext attack in the general bilinear group model. And our scheme is also proven to be semantic security against chosen keyword attack under bilinear Diffie-Hellman (BDH) assumption.

Setting objectives for managing Key deer

Science.gov (United States)

Diefenbach, Duane R.; Wagner, Tyler; Stauffer, Glenn E.

2014-01-01

The U.S. Fish and Wildlife Service (FWS) is responsible for the protection and management of Key deer (Odocoileus virginianus clavium) because the species is listed as Endangered under the Endangered Species Act (ESA). The purpose of the ESA is to protect and recover imperiled species and the ecosystems upon which they depend. There are a host of actions that could possibly be undertaken to recover the Key deer population, but without a clearly defined problem and stated objectives it can be difficult to compare and evaluate alternative actions. In addition, management goals and the acceptability of alternative management actions are inherently linked to stakeholders, who should be engaged throughout the process of developing a decision framework. The purpose of this project was to engage a representative group of stakeholders to develop a problem statement that captured the management problem the FWS must address with Key deer and identify objectives that, if met, would help solve the problem. In addition, the objectives were organized in a hierarchical manner (i.e., an objectives network) to show how they are linked, and measurable attributes were identified for each objective. We organized a group of people who represented stakeholders interested in and potentially affected by the management of Key deer. These stakeholders included individuals who represented local, state, and federal governments, non-governmental organizations, the general public, and local businesses. This stakeholder group met five full days over the course of an eight-week period to identify objectives that would address the following problem:“As recovery and removal from the Endangered Species list is the purpose of the Endangered Species Act, the U.S. Fish and Wildlife Service needs a management approach that will ensure a sustainable, viable, and healthy Key deer population. Urbanization has affected the behavior and population dynamics of the Key deer and the amount and characteristics

Mediated Ciphertext-Policy Attribute-Based Encryption and Its Application

NARCIS (Netherlands)

Ibraimi, L.; Petkovic, M.; Nikova, S.I.; Hartel, Pieter H.; Jonker, Willem; Youm, Heung Youl; Yung, Moti

2009-01-01

In Ciphertext-Policy Attribute-Based Encryption (CP-ABE), a user secret key is associated with a set of attributes, and the ciphertext is associated with an access policy over attributes. The user can decrypt the ciphertext if and only if the attribute set of his secret key satisfies the access

BENCHMARKING - PRACTICAL TOOLS IDENTIFY KEY SUCCESS FACTORS

Directory of Open Access Journals (Sweden)

Olga Ju. Malinina

2016-01-01

Full Text Available The article gives a practical example of the application of benchmarking techniques. The object of study selected fashion store Company «HLB & M Hennes & Mauritz», located in the shopping center «Gallery», Krasnodar. Hennes & Mauritz. The purpose of this article is to identify the best ways to develop a fashionable brand clothing store Hennes & Mauritz on the basis of benchmarking techniques. On the basis of conducted market research is a comparative analysis of the data from different perspectives. The result of the author’s study is a generalization of the ndings, the development of the key success factors that will allow to plan a successful trading activities in the future, based on the best experience of competitors.

Branding the business marketing offer : exploring brand attributes in business markets

NARCIS (Netherlands)

Beverland, M.; Lindgreen, A.; Napoli, J.

2007-01-01

Abstract: Purpose – The paper seeks to provide a framework identifying key attributes that business marketers can use to build a strong brand identity. Design/methodology/approach – The article is theoretical with case examples. Findings – Drawing upon the business marketing offer, five potential

A User Centered Innovation Approach Identifying Key User Values for the E-Newspaper

OpenAIRE

Carina Ihlström Eriksson; Jesper Svensson

2009-01-01

We have studied the pre-adoption phase of the e-newspaper, i.e. a newspaper published with e-paper technology. The research question of this article is: In what way can a user centered innovation process contribute to identifying key values in mobile innovations? The aim of this article is threefold: firstly, to identify key values for the e-newspaper, secondly, to examine the intention to adopt a new possible innovation and thirdly, to explore user centered design processes ability to captur...

Secure distributed key generation in attribute based encryption systems

NARCIS (Netherlands)

Pletea, D.; Sedghi, S.; Veeningen, M.; Petkovic, M.

2016-01-01

Nowadays usage of cloud computing is increasing in popularity and this raises new data protection challenges. In such distributed systems it is unrealistic to assume that the servers are fully trusted in enforcing the access policies. Attribute Based Encryption (ABE) is one of the solutions proposed

Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings

Energy Technology Data Exchange (ETDEWEB)

ALwaer, H. [The University of Dundee, School of Architecture, Matthew Building, 13 Perth Road, Dundee DD1 4HT (United Kingdom); Clements-Croome, D.J. [School of Construction Management and Engineering, The University of Reading, Whiteknights, PO Box 219, Reading RG6 6AW (United Kingdom)

2010-04-15

The main objectives of this paper are to: firstly, identify key issues related to sustainable intelligent buildings (environmental, social, economic and technological factors); develop a conceptual model for the selection of the appropriate KPIs; secondly, test critically stakeholder's perceptions and values of selected KPIs intelligent buildings; and thirdly develop a new model for measuring the level of sustainability for sustainable intelligent buildings. This paper uses a consensus-based model (Sustainable Built Environment Tool- SuBETool), which is analysed using the analytical hierarchical process (AHP) for multi-criteria decision-making. The use of the multi-attribute model for priority setting in the sustainability assessment of intelligent buildings is introduced. The paper commences by reviewing the literature on sustainable intelligent buildings research and presents a pilot-study investigating the problems of complexity and subjectivity. This study is based upon a survey perceptions held by selected stakeholders and the value they attribute to selected KPIs. It is argued that the benefit of the new proposed model (SuBETool) is a 'tool' for 'comparative' rather than an absolute measurement. It has the potential to provide useful lessons from current sustainability assessment methods for strategic future of sustainable intelligent buildings in order to improve a building's performance and to deliver objective outcomes. Findings of this survey enrich the field of intelligent buildings in two ways. Firstly, it gives a detailed insight into the selection of sustainable building indicators, as well as their degree of importance. Secondly, it tesst critically stakeholder's perceptions and values of selected KPIs intelligent buildings. It is concluded that the priority levels for selected criteria is largely dependent on the integrated design team, which includes the client, architects, engineers and facilities managers

Social Network Analysis Identifies Key Participants in Conservation Development.

Science.gov (United States)

Farr, Cooper M; Reed, Sarah E; Pejchar, Liba

2018-05-01

Understanding patterns of participation in private lands conservation, which is often implemented voluntarily by individual citizens and private organizations, could improve its effectiveness at combating biodiversity loss. We used social network analysis (SNA) to examine participation in conservation development (CD), a private land conservation strategy that clusters houses in a small portion of a property while preserving the remaining land as protected open space. Using data from public records for six counties in Colorado, USA, we compared CD participation patterns among counties and identified actors that most often work with others to implement CDs. We found that social network characteristics differed among counties. The network density, or proportion of connections in the network, varied from fewer than 2 to nearly 15%, and was higher in counties with smaller populations and fewer CDs. Centralization, or the degree to which connections are held disproportionately by a few key actors, was not correlated strongly with any county characteristics. Network characteristics were not correlated with the prevalence of wildlife-friendly design features in CDs. The most highly connected actors were biological and geological consultants, surveyors, and engineers. Our work demonstrates a new application of SNA to land-use planning, in which CD network patterns are examined and key actors are identified. For better conservation outcomes of CD, we recommend using network patterns to guide strategies for outreach and information dissemination, and engaging with highly connected actor types to encourage widespread adoption of best practices for CD design and stewardship.

Attribute-Based Digital Signature System

NARCIS (Netherlands)

Ibraimi, L.; Asim, Muhammad; Petkovic, M.

2011-01-01

An attribute-based digital signature system comprises a signature generation unit (1) for signing a message (m) by generating a signature (s) based on a user secret key (SK) associated with a set of user attributes, wherein the signature generation unit (1) is arranged for combining the user secret

Explaining the use of attribute cut-off values in decision making by means of involvement

DEFF Research Database (Denmark)

Peschel, Anne O.; Grebitus, Carola; Colson, Gregory

2016-01-01

evidence on consumers’ heterogeneous use of attribute cut-offs with a unique focus on the relationship with consumer involvement, a key component in consumer choice theory. Behavioral data from an online choice experiment on beef steak employing shelf simulations are combined with questions defining...... a latent class model identifies several key consumer segments (e.g., a price sensitive group) based on their choice behavior and reveals that the relationship between involvement, cut-off use and cut-off violations is not uniform across consumer segments....... respondents’ attribute cut-off values and their validated Personal Involvement Inventory (PII). Evidence from the analysis indicates that consumers who are highly involved are more likely to exhibit attribute cut-off values and are less likely to violate their cut-off values. Further investigation using...

Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations

NARCIS (Netherlands)

Torres, Anna; Bijmolt, Tarnmo H. A.

2009-01-01

Brand image is a key component of customer-based brand equity, and refers to the associations a consumer holds in memory. Such associations are often directional; one should distinguish between brand-to-attribute and attribute-to-brand associations, Information on these associations arise from two

Key Issues in Empirically Identifying Chronically Low-Performing and Turnaround Schools

Science.gov (United States)

Hansen, Michael

2012-01-01

One of the US Department of Education's key priorities is turning around the nation's persistently low-achieving schools, yet exactly how to identify low-performing schools is a task left to state policy makers, and a myriad of definitions have been utilized. In addition, exactly how to recognize when a school begins to turn around is not well…

Quality Attributes for Mission Flight Software: A Reference for Architects

Science.gov (United States)

Wilmot, Jonathan; Fesq, Lorraine; Dvorak, Dan

2016-01-01

In the international standards for architecture descriptions in systems and software engineering (ISO/IEC/IEEE 42010), "concern" is a primary concept that often manifests itself in relation to the quality attributes or "ilities" that a system is expected to exhibit - qualities such as reliability, security and modifiability. One of the main uses of an architecture description is to serve as a basis for analyzing how well the architecture achieves its quality attributes, and that requires architects to be as precise as possible about what they mean in claiming, for example, that an architecture supports "modifiability." This paper describes a table, generated by NASA's Software Architecture Review Board, which lists fourteen key quality attributes, identifies different important aspects of each quality attribute and considers each aspect in terms of requirements, rationale, evidence, and tactics to achieve the aspect. This quality attribute table is intended to serve as a guide to software architects, software developers, and software architecture reviewers in the domain of mission-critical real-time embedded systems, such as space mission flight software.

Vehicle Authentication via Monolithically Certified Public Key and Attributes

OpenAIRE

Dolev, Shlomi; Krzywiecki, Łukasz; Panwar, Nisha; Segal, Michael

2015-01-01

Vehicular networks are used to coordinate actions among vehicles in traffic by the use of wireless transceivers (pairs of transmitters and receivers). Unfortunately, the wireless communication among vehicles is vulnerable to security threats that may lead to very serious safety hazards. In this work, we propose a viable solution for coping with Man-in-the-Middle attacks. Conventionally, Public Key Infrastructure (PKI) is utilized for a secure communication with the pre-certified public key. H...

Attributing illness to food

DEFF Research Database (Denmark)

Batz, M. B.; Doyle, M. P.; Morris, J. G.

2005-01-01

source responsible for illness. A wide variety of food attribution approaches and data are used around the world including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others. The Food Safety Research Consortium sponsored......Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other...... the Food Attribution Data Workshop in October 2003 to discuss the virtues and limitations of these approaches and to identify future options for collecting food attribution data in the United States. We summarize workshop discussions and identify challenges that affect progress in this critical component...

Detection and attribution of observed impacts

NARCIS (Netherlands)

Cramer, W.; Yohe, G.W.; Auffhammer, M.; Huggel, C.; Molau, U.; Dias, M.A.F.S.; Leemans, R.

2014-01-01

This chapter synthesizes the scientific literature on the detection and attribution of observed changes in natural and human systems in response to observed recent climate change. For policy makers and the public, detection and attribution of observed impacts will be a key element to determine the

Integrated systems approach identifies risk regulatory pathways and key regulators in coronary artery disease.

Science.gov (United States)

Zhang, Yan; Liu, Dianming; Wang, Lihong; Wang, Shuyuan; Yu, Xuexin; Dai, Enyu; Liu, Xinyi; Luo, Shanshun; Jiang, Wei

2015-12-01

Coronary artery disease (CAD) is the most common type of heart disease. However, the molecular mechanisms of CAD remain elusive. Regulatory pathways are known to play crucial roles in many pathogenic processes. Thus, inferring risk regulatory pathways is an important step toward elucidating the mechanisms underlying CAD. With advances in high-throughput data, we developed an integrated systems approach to identify CAD risk regulatory pathways and key regulators. Firstly, a CAD-related core subnetwork was identified from a curated transcription factor (TF) and microRNA (miRNA) regulatory network based on a random walk algorithm. Secondly, candidate risk regulatory pathways were extracted from the subnetwork by applying a breadth-first search (BFS) algorithm. Then, risk regulatory pathways were prioritized based on multiple CAD-associated data sources. Finally, we also proposed a new measure to prioritize upstream regulators. We inferred that phosphatase and tensin homolog (PTEN) may be a key regulator in the dysregulation of risk regulatory pathways. This study takes a closer step than the identification of disease subnetworks or modules. From the risk regulatory pathways, we could understand the flow of regulatory information in the initiation and progression of the disease. Our approach helps to uncover its potential etiology. We developed an integrated systems approach to identify risk regulatory pathways. We proposed a new measure to prioritize the key regulators in CAD. PTEN may be a key regulator in dysregulation of the risk regulatory pathways.

Can empathy, other personality attributes, and level of positive social influence in medical school identify potential leaders in medicine?

Science.gov (United States)

Hojat, Mohammadreza; Michalec, Barret; Veloski, J Jon; Tykocinski, Mark L

2015-04-01

To test the hypotheses that medical students recognized by peers as the most positive social influencers would score (1) high on measures of engaging personality attributes that are conducive to relationship building (empathy, sociability, activity, self-esteem), and (2) low on disengaging personality attributes that are detrimental to interpersonal relationships (loneliness, neuroticism, aggression-hostility, impulsive sensation seeking). The study included 666 Jefferson Medical College students who graduated in 2011-2013. Students used a peer nomination instrument to identify classmates who had a positive influence on their professional and personal development. At matriculation, these students had completed a survey that included the Jefferson Scale of Empathy and Zuckerman-Kuhlman Personality Questionnaire short form and abridged versions of the Rosenberg Self-Esteem Scale and UCLA Loneliness Scale. In multivariate analyses of variance, the method of contrasted groups was used to compare the personality attributes of students nominated most frequently by their peers as positive influencers (top influencers [top 25% in their class distribution], n = 176) with those of students nominated least frequently (bottom influencers [bottom 25%], n = 171). The top influencers scored significantly higher on empathy, sociability, and activity and significantly lower on loneliness compared with the bottom influencers. However, the effect size estimates of the differences were moderate at best. The research hypotheses were partially confirmed. Positive social influencers appear to possess personality attributes conducive to relationship building, which is an important feature of effective leadership. The findings have implications for identifying and training potential leaders in medicine.

Identifying key genes associated with acute myocardial infarction.

Science.gov (United States)

Cheng, Ming; An, Shoukuan; Li, Junquan

2017-10-01

This study aimed to identify key genes associated with acute myocardial infarction (AMI) by reanalyzing microarray data. Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database. After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package. P FI) network. Then, DEGs in each module were subjected to pathway enrichment analysis using DAVID. MiRNAs and transcription factors predicted to regulate target DEGs were identified. Quantitative real-time polymerase chain reaction (RT-PCR) was applied to verify the expression of genes. A total of 913 upregulated genes and 1060 downregulated genes were identified in the AMI group. A FI network consists of 21 modules and DEGs in 12 modules were significantly enriched in pathways. The transcription factor-miRNA-gene network contains 2 transcription factors FOXO3 and MYBL2, and 2 miRNAs hsa-miR-21-5p and hsa-miR-30c-5p. RT-PCR validations showed that expression levels of FOXO3 and MYBL2 were significantly increased in AMI, and expression levels of hsa-miR-21-5p and hsa-miR-30c-5p were obviously decreased in AMI. A total of 41 DEGs, such as SOCS3, VAPA, and COL5A2, are speculated to have roles in the pathogenesis of AMI; 2 transcription factors FOXO3 and MYBL2, and 2 miRNAs hsa-miR-21-5p and hsa-miR-30c-5p may be involved in the regulation of the expression of these DEGs.

Consumer Perception of Retail Pork Bacon Attributes Using Adaptive Choice-based Conjoint Analysis and Maximum Differential Scaling.

Science.gov (United States)

McLean, K G; Hanson, D J; Jervis, S M; Drake, M A

2017-11-01

Bacon is one of the most recognizable consumer pork products and is differentiated by appearance, flavor, thickness, and several possible product claims. The objective of this study was to explore the attributes of retail bacon that influence consumers to purchase and consume bacon. An Adaptive Choice-Based Conjoint (ACBC) survey was designed for attributes of raw American-style bacon. An ACBC survey (N = 1410 consumers) and Kano questioning were applied to determine the key attributes that influenced consumer purchase. Attributes included package size, brand, thickness, label claims, flavor, price, and images of the bacon package displaying fat:lean ratio. Maximum Difference Scaling (MaxDiff) was used to rank appeal of 20 different bacon images with variable fat:lean ration and slice shape. The most important attribute for bacon purchase was price followed by fat:lean appearance and then flavor. Three consumer clusters were identified with distinct preferences. For 2 clusters, price was not the primary attribute. Understanding preferences of distinct consumer clusters will enable manufacturers to target consumers and make more appealing bacon. Adaptive Choice-Based Conjoint (ACBC) is a research technique that allows consumers to react to assembled products and identify product attributes that they prefer. Kano questions allow researchers to look at the individual aspects of a product and understand consumer sentiment and expectations towards those product qualities while Maximum Difference scaling allows consumers to directly rank single attributes of a product relative to one another. A combination of these 3 approaches can provide key understandings on consumer perception of retail bacon allowing companies to optimize and maximize their development and advertising resources. © 2017 Institute of Food Technologists®.

Identifying key performance indicators for nursing and midwifery care using a consensus approach.

Science.gov (United States)

McCance, Tanya; Telford, Lorna; Wilson, Julie; Macleod, Olive; Dowd, Audrey

2012-04-01

The aim of this study was to gain consensus on key performance indicators that are appropriate and relevant for nursing and midwifery practice in the current policy context. There is continuing demand to demonstrate effectiveness and efficiency in health and social care and to communicate this at boardroom level. Whilst there is substantial literature on the use of clinical indicators and nursing metrics, there is less evidence relating to indicators that reflect the patient experience. A consensus approach was used to identify relevant key performance indicators. A nominal group technique was used comprising two stages: a workshop involving all grades of nursing and midwifery staff in two HSC trusts in Northern Ireland (n = 50); followed by a regional Consensus Conference (n = 80). During the workshop, potential key performance indicators were identified. This was used as the basis for the Consensus Conference, which involved two rounds of consensus. Analysis was based on aggregated scores that were then ranked. Stage one identified 38 potential indicators and stage two prioritised the eight top-ranked indicators as a core set for nursing and midwifery. The relevance and appropriateness of these indicators were confirmed with nurses and midwives working in a range of settings and from the perspective of service users. The eight indicators identified do not conform to the majority of other nursing metrics generally reported in the literature. Furthermore, they are strategically aligned to work on the patient experience and are reflective of the fundamentals of nursing and midwifery practice, with the focus on person-centred care. Nurses and midwives have a significant contribution to make in determining the extent to which these indicators are achieved in practice. Furthermore, measurement of such indicators provides an opportunity to evidence of the unique impact of nursing/midwifery care on the patient experience. © 2011 Blackwell Publishing Ltd.

Fundamental attributes of a practical configuration management program for nuclear plant design control

International Nuclear Information System (INIS)

Klein, S.M.

1988-06-01

This summarizes the results of an evaluation of findings identifies during a number of Safety-System Functional Inspections and Safety System Outage Modification Inspections which are related to configuration management for nuclear plant design control. A computerized database of these findings was generated from a review of the design inspection reports. Based on the results of the evaluation, attributes of a configuration management program were developed which are responsive to minimizing these types of inspection findings. Incorporation of these key attributes is considered good practice in the development of a configuration management program for design control at operating nuclear plants

Identifying Key Drivers of Return Reversal with Dynamical Bayesian Factor Graph.

Directory of Open Access Journals (Sweden)

Shuai Zhao

Full Text Available In the stock market, return reversal occurs when investors sell overbought stocks and buy oversold stocks, reversing the stocks' price trends. In this paper, we develop a new method to identify key drivers of return reversal by incorporating a comprehensive set of factors derived from different economic theories into one unified dynamical Bayesian factor graph. We then use the model to depict factor relationships and their dynamics, from which we make some interesting discoveries about the mechanism behind return reversals. Through extensive experiments on the US stock market, we conclude that among the various factors, the liquidity factors consistently emerge as key drivers of return reversal, which is in support of the theory of liquidity effect. Specifically, we find that stocks with high turnover rates or high Amihud illiquidity measures have a greater probability of experiencing return reversals. Apart from the consistent drivers, we find other drivers of return reversal that generally change from year to year, and they serve as important characteristics for evaluating the trends of stock returns. Besides, we also identify some seldom discussed yet enlightening inter-factor relationships, one of which shows that stocks in Finance and Insurance industry are more likely to have high Amihud illiquidity measures in comparison with those in other industries. These conclusions are robust for return reversals under different thresholds.

Identifying key hospital service quality factors in online health communities.

Science.gov (United States)

Jung, Yuchul; Hur, Cinyoung; Jung, Dain; Kim, Minki

2015-04-07

The volume of health-related user-created content, especially hospital-related questions and answers in online health communities, has rapidly increased. Patients and caregivers participate in online community activities to share their experiences, exchange information, and ask about recommended or discredited hospitals. However, there is little research on how to identify hospital service quality automatically from the online communities. In the past, in-depth analysis of hospitals has used random sampling surveys. However, such surveys are becoming impractical owing to the rapidly increasing volume of online data and the diverse analysis requirements of related stakeholders. As a solution for utilizing large-scale health-related information, we propose a novel approach to identify hospital service quality factors and overtime trends automatically from online health communities, especially hospital-related questions and answers. We defined social media-based key quality factors for hospitals. In addition, we developed text mining techniques to detect such factors that frequently occur in online health communities. After detecting these factors that represent qualitative aspects of hospitals, we applied a sentiment analysis to recognize the types of recommendations in messages posted within online health communities. Korea's two biggest online portals were used to test the effectiveness of detection of social media-based key quality factors for hospitals. To evaluate the proposed text mining techniques, we performed manual evaluations on the extraction and classification results, such as hospital name, service quality factors, and recommendation types using a random sample of messages (ie, 5.44% (9450/173,748) of the total messages). Service quality factor detection and hospital name extraction achieved average F1 scores of 91% and 78%, respectively. In terms of recommendation classification, performance (ie, precision) is 78% on average. Extraction and

Attributes of quality programs in universities in developing countries: Case studies of two private universities in Ecuador and beyond

Science.gov (United States)

Uriguen, Monica I.

This study sought to identify the key attributes of high-quality programs with an eye toward helping developing countries such as Ecuador advance program quality. The dissertation is divided into five chapters: (1) introduction to high-quality programs; (2) literature review of attributes of high-quality programs; (3) grounded theory method (including interviews with 60 individuals) used to identify program attributes that enhance student learning; (4) findings; and (5) conclusions and recommendations. Following are the five clusters and thirteen attributes of high-quality programs that I identified: Cluster One: Highly Qualified Participants: (1) Highly Qualified Faculty, and (2) Highly Qualified Students; Cluster Two: Learning-Centered Cultures: (3) Shared Program Direction Focused on Learning, (4) Real-World Learning Experiences, (5) Reading-Centered Culture, and (6) Supportive and Risk-Taking Environment; Cluster Three: Interactive Teaching and Learning: (7) Integrative learning: Theory with Practice, Self with Subject, and (8) Exclusive Tutoring and Mentoring; Cluster Four: Connected Program Requirements: (9) Planned Breadth and Depth Course Work, and (10) Tangible Products; and Cluster Five: Adequate Resources: (11) Support for Students, (12) Support for Faculty, and (13) Support for Campus Infrastructure. The study was guided by Haworth and Conrad's (1997) "Engagement Theory of High-Quality Programs." Eleven of the attributes of high-quality programs are closely connected to Haworth and Conrad's theory and the other two attributes---real-world learning experiences and a reading-centered culture---make the signature theoretical contributions of the study. Real-world learning experiences encourage the active involvement of stakeholders in designing curricula with real-world learning experiences. The second attribute---a reading-centered culture---has never before been identified in the literature. There are four key differences between Haworth and Conrad

Simple Multi-Authority Attribute-Based Encryption for Short Messages

OpenAIRE

Viktoria I. Villanyi

2016-01-01

Central authority free multi-authority attribute based encryption scheme for short messages will be presented. Several multi-authority attribute based encryption schemes were recently proposed. We can divide these schemes into two groups, one of them are the ciphertext-policy attribute based encryption schemes (CP-ABE), the another one are the key-policy attribute based encryption schemes (KP-ABE). In our new multi-authority attribute based encryption scheme we combine them: the access struct...

A matter of definition--key elements identified in a discourse analysis of definitions of palliative care.

Science.gov (United States)

Pastrana, T; Jünger, S; Ostgathe, C; Elsner, F; Radbruch, L

2008-04-01

For more than 30 years, the term "palliative care" has been used. From the outset, the term has undergone a series of transformations in its definitions and consequently in its tasks and goals. There remains a lack of consensus on a definition. The aim of this article is to analyse the definitions of palliative care in the specialist literature and to identify the key elements of palliative care using discourse analysis: a qualitative methodology. The literature search focused on definitions of the term 'palliative medicine' and 'palliative care' in the World Wide Web and medical reference books in English and German. A total of 37 English and 26 German definitions were identified and analysed. Our study confirmed the lack of a consistent meaning concerning the investigated terms, reflecting on-going discussion about the nature of the field among palliative care practitioners. Several common key elements were identified. Four main categories emerged from the discourse analysis of the definition of palliative care: target groups, structure, tasks and expertise. In addition, the theoretical principles and goals of palliative care were discussed and found to be key elements, with relief and prevention of suffering and improvement of quality of life as main goals. The identified key elements can contribute to the definition of the concept 'palliative care'. Our study confirms the importance of semantic and ethical influences on palliative care that should be considered in future research on semantics in different languages.

Attributing mortality among drivers of population decline in Acropora palmata in the Florida Keys (USA)

Science.gov (United States)

Williams, D. E.; Miller, M. W.

2012-06-01

Acropora palmata populations have experienced steep declines over the past 30 years. Although numerous culprits are recognized, their relative contributions to the decline are poorly quantified, making it difficult to prioritize effective conservation measures. In 2004, a demographic monitoring program was implemented in the Florida Keys (USA), aimed at determining the relative importance of various stressors affecting A. palmata. A subset of randomly selected A. palmata colonies within 15 fore-reef plots was tagged and surveyed three to four times per year over 7 years. Colony size, live tissue, prevalence of disease, snail ( Coralliophila abbreviata) predation, physical damage and other conditions were assessed at each survey. The estimated effect of each condition causing recent mortality was ranked, and together, these parameters were used to attribute the population-level tissue loss associated with each condition. In addition, all new colonies in the study plots were counted and assessed annually in order to track trends in total colony count and live tissue abundance. Between 2004 and 2010, the study population has shown more than 50% decline in live area from three main conditions: fragmentation, disease and snail predation. Approximately half of this decline occurred during the catastrophic 2005 hurricane season from which recovery has been minimal. Meanwhile, colony abundance has shown gradual decline throughout the study. Snail predation was the most prevalent condition. However, it ranked third in attributed tissue loss, behind breakage that occurred during the 2005 hurricane season, and disease. Thermal bleaching of A. palmata was not observed during this study. Because mortality continues to outpace recruitment and growth, intervention to ameliorate losses to the more manageable threats including predation and breakage could result in substantial conservation of live tissue, buying time for the abatement of less tractable threats to A. palmata

Batch Attribute-Based Encryption for Secure Clouds

Directory of Open Access Journals (Sweden)

Chen Yang

2015-10-01

Full Text Available Cloud storage is widely used by organizations due to its advantage of allowing universal access with low cost. Attribute-based encryption (ABE is a kind of public key encryption suitable for cloud storage. The secret key of each user and the ciphertext are associated with an access policy and an attribute set, respectively; in addition to holding a secret key, one can decrypt a ciphertext only if the associated attributes match the predetermined access policy, which allows one to enforce fine-grained access control on outsourced files. One issue in existing ABE schemes is that they are designed for the users of a single organization. When one wants to share the data with the users of different organizations, the owner needs to encrypt the messages to the receivers of one organization and then repeats this process for another organization. This situation is deteriorated with more and more mobile devices using cloud services, as the ABE encryption process is time consuming and may exhaust the power supplies of the mobile devices quickly. In this paper, we propose a batch attribute-based encryption (BABE approach to address this problem in a provably-secure way. With our approach, the data owner can outsource data in batches to the users of different organizations simultaneously. The data owner is allowed to decide the receiving organizations and the attributes required for decryption. Theoretical and experimental analyses show that our approach is more efficient than traditional encryption implementations in computation and communication.

Identifying core, exciting, and hybrid attributes in fans' assessments of major (World Cup) spectator sports events.

Science.gov (United States)

Gau, Li-Shiue

2013-12-01

This paper adopts a methodology of asymmetrical analyses to investigate the relevant importance of spectator sport attributes in terms of their non-linear associations with the benefits that fans experience while watching sports. Questionnaires tapping 16 attributes (e.g., teamwork, sportsmanship, level of competition) and 16 benefits (e.g., good mood, exciting experience, support for my favorite team) were distributed to a sample of fans at the outdoor broadcast of the 2010 World Cup final game at the National Stadium in Kaohsiung, Taiwan. 427 participants rated the importance and benefit of each attribute experienced from watching the game. Attributes were categorized as core, exciting, or hybrid attributes. The star player was the core attribute; rivalry, popularity, and coach were the exciting attributes; and the other 12 attributes were hybrid. Two-dimensional space analyses showed that attributes "sportsmanship, teamwork, and supporting a team" were both explicitly and implicitly important attributes. The methodology of asymmetrical analyses can help managers prioritize the focus of attributes and allocate resources effectively.

Development of a questionnaire to measure the key attributes of the community palliative care specialist nurse role.

Science.gov (United States)

Cameron, Dee; Johnston, Bridget

2015-02-01

Recent worldwide economic events have forced an examination of the nurse's contribution to high-quality, effective, person-centred care. Since the role of specialist nurses is considered one of the least understood or valued developments in nursing, specialist nurses must demonstrate their contribution to quality, person-centred health care. To develop a questionnaire which aims to measure the quality of care provided by palliative care specialist nurses from the patients' perspective and to undertake initial validation. The process of questionnaire development involved six phases including systematic literature reviews, patient advisory groups and expert panel reviews, each of which contributed to the questionnaire face and content validity. Johnston's Expert Palliative Care Nurse Model (2002; 2005) provided an evidence-based framework for the development of the questionnaire, and enabled the identification of the key attributes of the palliative care specialist nurse role, thereby providing the themes on which to base the questionnaire. The Quality Measure for Palliative Nursing, a questionnaire, was developed. The themes identified in the questionnaire--personal characteristics, communication skills, knowledge, relationship with patient and providing comfort--aim to facilitate measurement of the quality of care provided by palliative care specialist nurses. Designed for use by palliative patients the Quality Measure for Palliative Nursing is a one-page questionnaire comprising of 15 questions. The Quality Measure for Palliative Nursing is unique since it aims to measure the quality of care provided by community palliative care specialist nurses, and could also be used to measure patient satisfaction with the quality of care provided. Further testing is recommended to ensure that this questionnaire can provide reliable and valid results.

Key clinical features to identify girls with CDKL5 mutations.

Science.gov (United States)

Bahi-Buisson, Nadia; Nectoux, Juliette; Rosas-Vargas, Haydeé; Milh, Mathieu; Boddaert, Nathalie; Girard, Benoit; Cances, Claude; Ville, Dorothée; Afenjar, Alexandra; Rio, Marlène; Héron, Delphine; N'guyen Morel, Marie Ange; Arzimanoglou, Alexis; Philippe, Christophe; Jonveaux, Philippe; Chelly, Jamel; Bienvenu, Thierry

2008-10-01

Mutations in the human X-linked cyclin-dependent kinase-like 5 (CDKL5) gene have been shown to cause infantile spasms as well as Rett syndrome (RTT)-like phenotype. To date, less than 25 different mutations have been reported. So far, there are still little data on the key clinical diagnosis criteria and on the natural history of CDKL5-associated encephalopathy. We screened the entire coding region of CDKL5 for mutations in 183 females with encephalopathy with early seizures by denaturing high liquid performance chromatography and direct sequencing, and we identified in 20 unrelated girls, 18 different mutations including 7 novel mutations. These mutations were identified in eight patients with encephalopathy with RTT-like features, five with infantile spasms and seven with encephalopathy with refractory epilepsy. Early epilepsy with normal interictal EEG and severe hypotonia are the key clinical features in identifying patients likely to have CDKL5 mutations. Our study also indicates that these patients clearly exhibit some RTT features such as deceleration of head growth, stereotypies and hand apraxia and that these RTT features become more evident in older and ambulatory patients. However, some RTT signs are clearly absent such as the so called RTT disease profile (period of nearly normal development followed by regression with loss of acquired fine finger skill in early childhood and characteristic intensive eye communication) and the characteristic evolution of the RTT electroencephalogram. Interestingly, in addition to the overall stereotypical symptomatology (age of onset and evolution of the disease) resulting from CDKL5 mutations, atypical forms of CDKL5-related conditions have also been observed. Our data suggest that phenotypic heterogeneity does not correlate with the nature or the position of the mutations or with the pattern of X-chromosome inactivation, but most probably with the functional transcriptional and/or translational consequences of CDKL5

Predictive model identifies key network regulators of cardiomyocyte mechano-signaling.

Directory of Open Access Journals (Sweden)

Philip M Tan

2017-11-01

Full Text Available Mechanical strain is a potent stimulus for growth and remodeling in cells. Although many pathways have been implicated in stretch-induced remodeling, the control structures by which signals from distinct mechano-sensors are integrated to modulate hypertrophy and gene expression in cardiomyocytes remain unclear. Here, we constructed and validated a predictive computational model of the cardiac mechano-signaling network in order to elucidate the mechanisms underlying signal integration. The model identifies calcium, actin, Ras, Raf1, PI3K, and JAK as key regulators of cardiac mechano-signaling and characterizes crosstalk logic imparting differential control of transcription by AT1R, integrins, and calcium channels. We find that while these regulators maintain mostly independent control over distinct groups of transcription factors, synergy between multiple pathways is necessary to activate all the transcription factors necessary for gene transcription and hypertrophy. We also identify a PKG-dependent mechanism by which valsartan/sacubitril, a combination drug recently approved for treating heart failure, inhibits stretch-induced hypertrophy, and predict further efficacious pairs of drug targets in the network through a network-wide combinatorial search.

Evaluation of unique identifiers used as keys to match identical publications in Pure and SciVal

DEFF Research Database (Denmark)

Madsen, Heidi Holst; Madsen, Dicte; Gauffriau, Marianne

2016-01-01

, and erroneous optical or special character recognition. The case study explores the use of UIDs in the integration between the databases Pure and SciVal. Specifically journal publications in English are matched between the two databases. We find all error types except erroneous optical or special character......Unique identifiers (UID) are seen as an effective key to match identical publications across databases or identify duplicates in a database. The objective of the present study is to investigate how well UIDs work as match keys in the integration between Pure and SciVal, based on a case...... also briefly discuss how publication sets formed by using UIDs as the match keys may affect the bibliometric indicators number of publications, number of citations, and the average number of citations per publication. The objective is addressed in a literature review and a case study. The literature...

The Validity of Attribute-Importance Measurement: A Review

NARCIS (Netherlands)

Ittersum, van K.; Pennings, J.M.E.; Wansink, B.; Trijp, van J.C.M.

2007-01-01

A critical review of the literature demonstrates a lack of validity among the ten most common methods for measuring the importance of attributes in behavioral sciences. The authors argue that one of the key determinants of this lack of validity is the multi-dimensionality of attribute importance.

Iterative key-residues interrogation of a phytase with thermostability increasing substitutions identified in directed evolution.

Science.gov (United States)

Shivange, Amol V; Roccatano, Danilo; Schwaneberg, Ulrich

2016-01-01

Bacterial phytases have attracted industrial interest as animal feed supplement due to their high activity and sufficient thermostability (required for feed pelleting). We devised an approach named KeySIDE,  an iterative Key-residues interrogation of the wild type with Substitutions Identified in Directed Evolution for improving Yersinia mollaretii phytase (Ymphytase) thermostability by combining key beneficial substitutions and elucidating their individual roles. Directed evolution yielded in a discovery of nine positions in Ymphytase and combined iteratively to identify key positions. The "best" combination (M6: T77K, Q154H, G187S, and K289Q) resulted in significantly improved thermal resistance; the residual activity improved from 35 % (wild type) to 89 % (M6) at 58 °C and 20-min incubation. Melting temperature increased by 3 °C in M6 without a loss of specific activity. Molecular dynamics simulation studies revealed reduced flexibility in the loops located next to helices (B, F, and K) which possess substitutions (Helix-B: T77K, Helix-F: G187S, and Helix-K: K289E/Q). Reduced flexibility in the loops might be caused by strengthened hydrogen bonding network (e.g., G187S and K289E/K289Q) and a salt bridge (T77K). Our results demonstrate a promising approach to design phytases in food research, and we hope that the KeySIDE might become an attractive approach for understanding of structure-function relationships of enzymes.

Identifying Regional Key Eco-Space to Maintain Ecological Security Using GIS

Directory of Open Access Journals (Sweden)

Hualin Xie

2014-02-01

Full Text Available Ecological security and environmental sustainability are the foundations of sustainable development. With the acceleration of urbanization, increasing human activities have promoted greater impacts on the eco-spaces that maintain ecological security. Regional key eco-space has become the primary need to maintain environmental sustainability and can offer society with continued ecosystem services. In this paper, considering the security of water resources, biodiversity conservation, disaster avoidance and protection and natural recreation, an integrated index of eco-space importance was established and a method for identifying key eco-space was created using GIS, with Lanzhou City, China as a case study. The results show that the area of core eco-space in the Lanzhou City is approximately 50,908.7 hm2, accounting for 40% of the region’s total area. These areas mainly consist of geological hazard protection zones and the core zones of regional river systems, wetlands, nature reserves, forest parks and scenic spots. The results of this study provide some guidance for the management of ecological security, ecological restoration and environmental sustainability.

A scheme of hidden-structure attribute-based encryption with multiple authorities

Science.gov (United States)

Ling, J.; Weng, A. X.

2018-05-01

In the most of the CP-ABE schemes with hidden access structure, both all the user attributes and the key generation are managed by only one authority. The key generation efficiency will decrease as the number of user increases, and the data will encounter security issues as the only authority is attacked. We proposed a scheme of hidden-structure attribute-based encryption with multiple authorities, which introduces multiple semi-trusted attribute authorities, avoiding the threat even though one or more authorities are attacked. We also realized user revocation by managing a revocation list. Based on DBDH assumption, we proved that our scheme is of IND-CMA security. The analysis shows that our scheme improves the key generation efficiency.

Identifying Key Stakeholder Groups for Implementing a Place Branding Policy in Saint Petersburg

Directory of Open Access Journals (Sweden)

Kulibanova V. V.

2017-10-01

Full Text Available Regional brands have become a valuable intangible asset and a crucial competitive resource for forging partnerships. An effective place branding policy is impossible without a precise understanding of the interests of stakeholder groups. It is essential to realize that each region is unique in its own way. Territories differ in the structure of stakeholders, their influence on regional development, and the range of leverages over regional decision-makers. This study aims to give a more precise definition of key groups of stakeholders in Saint Petersburg place branding, and to identify them. The authors employ the method of theoretical and empirical typology of a territory’s stakeholders within a theoretical framework proposed by E. Freeman, P. Kotler, S. Zenker, and E. Brown. The article defines the concept of key regional stakeholders and identifies them. The proposed target audience (stakeholder group model for a place branding policy is tested on the case of Saint Petersburg. The authors show that each target audience of place marketing requires an individual policy. This is explained by the fact that each group enjoys its unique features that should be taken into account when creating and transmitting messages.

Attribute importance segmentation of Norwegian seafood consumers: The inclusion of salient packaging attributes.

Science.gov (United States)

Olsen, Svein Ottar; Tuu, Ho Huu; Grunert, Klaus G

2017-10-01

The main purpose of this study is to identify consumer segments based on the importance of product attributes when buying seafood for homemade meals on weekdays. There is a particular focus on the relative importance of the packaging attributes of fresh seafood. The results are based on a representative survey of 840 Norwegian consumers between 18 and 80 years of age. This study found that taste, freshness, nutritional value and naturalness are the most important attributes for the home consumption of seafood. Except for the high importance of information about expiration date, most other packaging attributes have only medium importance. Three consumer segments are identified based on the importance of 33 attributes associated with seafood: Perfectionists, Quality Conscious and Careless Consumers. The Quality Conscious consumers feel more self-confident in their evaluation of quality, and are less concerned with packaging, branding, convenience and emotional benefits compared to the Perfectionists. Careless Consumers are important as regular consumers of convenient and pre-packed seafood products and value recipe information on the packaging. The seafood industry may use the results provided in this study to strengthen their positioning of seafood across three different consumer segments. Copyright © 2017 Elsevier Ltd. All rights reserved.

Perfectionism, achievement motives, and attribution of success and failure in female soccer players.

Science.gov (United States)

Stoeber, Joachim; Becker, Claudia

2008-12-01

While some researchers have identified adaptive perfectionism as a key characteristic to achieving elite performance in sport, others see perfectionism as a maladaptive characteristic that undermines, rather than helps, athletic performance. Arguing that perfectionism in sport contains both adaptive and maladaptive facets, the present article presents a study of N = 74 female soccer players investigating how two facets of perfectionism-perfectionistic strivings and negative reactions to imperfection (Stoeber, Otto, Pescheck, Becker, & Stoll, 2007 )-are related to achievement motives and attributions of success and failure. Results show that striving for perfection was related to hope of success and self-serving attributions (internal attribution of success). Moreover, once overlap between the two facets of perfectionism was controlled for, striving for perfection was inversely related to fear of failure and self-depreciating attributions (internal attribution of failure). In contrast, negative reactions to imperfection were positively related to fear of failure and self-depreciating attributions (external attribution of success) and inversely related to self-serving attributions (internal attribution of success and external attribution of failure). It is concluded that striving for perfection in sport is associated with an adaptive pattern of positive motivational orientations and self-serving attributions of success and failure, which may help athletic performance. In contrast, negative reactions to imperfection are associated with a maladaptive pattern of negative motivational orientations and self-depreciating attributions, which is likely to undermine athletic performance. Consequently, perfectionism in sport may be adaptive in those athletes who strive for perfection, but can control their negative reactions when performance is less than perfect.

Gender Attribution and Gender Agreement in French Williams Syndrome

Science.gov (United States)

Boloh, Yves; Ibernon, Laure; Royer, Stephanie; Escudier, Frederique; Danillon, Aurelia

2009-01-01

Previous studies on grammatical gender in French individuals with Williams syndrome (WS) have led to conflicting findings and interpretations regarding keys abilities--gender attribution and gender agreement. New production data from a larger SW sample (N = 24) showed that gender attribution scores in SW participants exactly mirrored those of…

"Polite People" and Military Meekness: the Attributes of Military Ethics

Directory of Open Access Journals (Sweden)

Pavel V. Didov

2016-12-01

Full Text Available The article analyzes the phenomenon of "polite people" from the point of view of the history and theory of ethical thought. Identify and specify ethical principles that form the basis of military courtesy. On the basis of the revealed regularities, the study proves that ethics is impossible without a certain power attributes, which constitute its core. In relation to the traditions of Russian warriors revealed the key role to their formation of the Orthodox ethics and the military of meekness. The obtained results can serve as material for educational activities for the formation of fighting spirit.

Identifying and weighting of key performance indicators of knowledge management2.0 in organizations

Directory of Open Access Journals (Sweden)

Saeed Khalilazar

2016-03-01

Full Text Available Main purpose of this research is identifying and weighting of key performance indicators of knowledge management2.0 in organizations. According to widespread permeation of technology, especially social media in different organizational dimensions and functional view to this phenomenon in knowledge management, performance measurement of this kind of media in order to meet organizational goals seems necessary. KM2.0 key performance indicators in this article has been identified and weighted through Delphi methodology, via questionnaire in three rounds. KM2.0 KPIs which are identified and weighted in this article are applicable in organizations that are eager to implement KM2.0 initiative and they can measure the performance of KM2.0 activities therefore this research is applicable in goal oriented approach. According to the results, KM2.0 participation process consists of 3 stages and 8 steps as mentioned below: First stage which is presence, consists of 3 steps which are registration, visit and download. Second stage which is feedback consists of 3 steps which are conversation, applause and amplification. Finally, third stage which is creation consists of 2 steps which are codification and personalization. Ultimate contribution of this research is identifying and weighting KPIs of KM2.0 in conceptual framework of KM2.0. Based on developing a conceptual framework and participation process in KM2.0 and listing related KPIs as an applicable solution in order to measure and improve the performance of organizational social media, this research has unique innovation among related and other articles.

Identifying and characterizing key nodes among communities based on electrical-circuit networks.

Science.gov (United States)

Zhu, Fenghui; Wang, Wenxu; Di, Zengru; Fan, Ying

2014-01-01

Complex networks with community structures are ubiquitous in the real world. Despite many approaches developed for detecting communities, we continue to lack tools for identifying overlapping and bridging nodes that play crucial roles in the interactions and communications among communities in complex networks. Here we develop an algorithm based on the local flow conservation to effectively and efficiently identify and distinguish the two types of nodes. Our method is applicable in both undirected and directed networks without a priori knowledge of the community structure. Our method bypasses the extremely challenging problem of partitioning communities in the presence of overlapping nodes that may belong to multiple communities. Due to the fact that overlapping and bridging nodes are of paramount importance in maintaining the function of many social and biological networks, our tools open new avenues towards understanding and controlling real complex networks with communities accompanied with the key nodes.

On Hospital Design – Identifying Building Attributes of Hospital Design

DEFF Research Database (Denmark)

Holst, Malene Kirstine; Kirkegaard, Poul Henning; Christoffersen, Lars D.

The present paper surveys the input parameters in hospital design and describes them formally as building attributes in preparation for facilitating planning and designing of hospitals with the aim of a more optimal design process. The overview of the hospital functionalities, bonds, logistics...... and needs is based on an approach of understanding the complexity of the hospital functionalities based on capacities, qualities and times beforehand specific department or units are described. This approach attempts to create an overview of the hospital functionalities respecting capacities, qualities...

Extrinsic attributes that influence parents' purchase of chocolate milk for their children.

Science.gov (United States)

Li, Xiaomeng E; Lopetcharat, Kannapon; Drake, MaryAnne

2014-07-01

The consumption of milk is essential for children's heath; and flavored milk, especially chocolate milk, is often purchased to increase children's milk consumption. However, the sugar content of chocolate milk has raised health concerns. As such, it is important to understand chocolate milk extrinsic attributes that influence parents' purchase decisions when they are purchasing chocolate milk for their children. The objective of this study was to determine the key extrinsic attributes for parents when they purchase chocolate milk for their children. An online survey with a conjoint analysis design, emotions questions, and Kano questionnaire that focused on chocolate milk was conducted targeting parents. Three hundred and twelve parents participated in the survey. Parents reported positive emotions including good, good natured, happy, loving, and satisfied when purchasing chocolate milk for their kids. Three segments of parents were identified with subtle but distinct differences in their key preferences for chocolate milk attributes for their children. Type of sweetener was the primary driver of choice for purchasing chocolate milk for children followed by fat content. Among sweetener types, natural noncaloric/nonnutritive sweeteners or sucrose were preferred over artificial sweeteners, and reduced fat was preferred over full fat or skim milk. Kano results revealed that reduced fat and sugar with an all natural label and added vitamins, minerals, and protein were attractive to the majority of parents when purchasing chocolate milk for their kids. Understanding the driving extrinsic attributes for parents when they purchase chocolate milk for their children will assist manufacturers to target extrinsic attributes that are attractive to parents for chocolate milk. This study established that sweetener type and fat content are the primary extrinsic attributes affecting parents purchase decisions when choosing chocolate milk for their children. Different segments of

Sensory Attribute Identification Time Cannot Explain the Common Temporal Limit of Binding Different Attributes and Modalities

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Waka Fujisaki

2011-10-01

Full Text Available An informative performance measure of the brain's integration across different sensory attributes/modalities is the critical temporal rate of feature alternation (between, eg, red and green beyond which observers could not identify the feature value specified by a timing signal from another attribute (eg, a pitch change. Interestingly, this limit, which we called the critical crowding frequency (CCF, is fairly low and nearly constant (∼2.5 Hz regardless of the combination of attributes and modalities (Fujisaki & Nishida, 2010, IMRF. One may consider that the CCF reflects the processing time required for the brain to identify the specified feature value on the fly. According to this idea, the similarity in CCF could be ascribed to the similarity in identification time for the attributes we used (luminance, color, orientation, pitch, vibration. To test this idea, we estimated the identification time of each attribute from [Go/ No-Go choice reaction time – simple reaction time]. In disagreement with the prediction, we found significant differences among attributes (eg, ∼160 ms for orientation, ∼70 ms for pitch. The results are more consistent with our proposal (Fujisaki & Nishida, Proc Roy Soc B that the CCF reflects the common rate limit of specifying what happens when (timing-content binding by a central, presumably postdictive, mechanism.

Scientific Uncertainties in Climate Change Detection and Attribution Studies

Science.gov (United States)

Santer, B. D.

2017-12-01

It has been claimed that the treatment and discussion of key uncertainties in climate science is "confined to hushed sidebar conversations at scientific conferences". This claim is demonstrably incorrect. Climate change detection and attribution studies routinely consider key uncertainties in observational climate data, as well as uncertainties in model-based estimates of natural variability and the "fingerprints" in response to different external forcings. The goal is to determine whether such uncertainties preclude robust identification of a human-caused climate change fingerprint. It is also routine to investigate the impact of applying different fingerprint identification strategies, and to assess how detection and attribution results are impacted by differences in the ability of current models to capture important aspects of present-day climate. The exploration of the uncertainties mentioned above will be illustrated using examples from detection and attribution studies with atmospheric temperature and moisture.

Modelling Creativity: Identifying Key Components through a Corpus-Based Approach.

Science.gov (United States)

Jordanous, Anna; Keller, Bill

2016-01-01

Creativity is a complex, multi-faceted concept encompassing a variety of related aspects, abilities, properties and behaviours. If we wish to study creativity scientifically, then a tractable and well-articulated model of creativity is required. Such a model would be of great value to researchers investigating the nature of creativity and in particular, those concerned with the evaluation of creative practice. This paper describes a unique approach to developing a suitable model of how creative behaviour emerges that is based on the words people use to describe the concept. Using techniques from the field of statistical natural language processing, we identify a collection of fourteen key components of creativity through an analysis of a corpus of academic papers on the topic. Words are identified which appear significantly often in connection with discussions of the concept. Using a measure of lexical similarity to help cluster these words, a number of distinct themes emerge, which collectively contribute to a comprehensive and multi-perspective model of creativity. The components provide an ontology of creativity: a set of building blocks which can be used to model creative practice in a variety of domains. The components have been employed in two case studies to evaluate the creativity of computational systems and have proven useful in articulating achievements of this work and directions for further research.

The making of the modern airport executive: Causal connections among key attributes in career development, compromise, and satisfaction in airport management

Science.gov (United States)

Byers, David Alan

The purpose of this study was to identify specific career development attributes of contemporary senior-level airport executives and to evaluate the relationship of these attributes to the level of satisfaction airport executives have in their career choice. Attribute sets that were examined included early aviation interests, health factors, psychological factors, demographic factors, formal education, and other aviation-related experiences. A hypothesized causal model that expressed direct and indirect effects among these attributes relative to airport executives' career satisfaction was tested using sample data collected from 708 airport executives from general aviation and commercial service airport throughout the United States. Applying a multiple regression analysis strategy to the model, the overall results revealed that 16% of the variability in airport executives' career satisfaction scores was due to the collective influence of the six research attribute sets, this was significant. The results of the path analysis also indicated that four attribute sets (early aviation interests, health factors, formal education, and other aviation-related experiences) had respective direct significant effects on participants' career satisfaction. Early aviation interests, health factors, and demographic factors had additional indirect effects on career satisfaction; all were mediated by formal education attitude. These results were inconsistent with the hypothesized path model and a revised model was developed to reflect the sample data. The findings suggest that airport executives, as a group, are satisfied with their career choice. Early aviation interests appear to play an important role for influencing the career field selection phase of career development. The study also suggests health factors, formal education, and other aviation-related experiences such as flight training or military experience influence the compromise phase of career development. Each of these

Identifying key areas for active interprofessional learning partnerships: A facilitated dialogue.

Science.gov (United States)

Steven, Kathryn; Angus, Allyson; Breckenridge, Jenna; Davey, Peter; Tully, Vicki; Muir, Fiona

2016-11-01

Student and service user involvement is recognised as an important factor in creating interprofessional education (IPE) opportunities. We used a team-based learning approach to bring together undergraduate health professional students, early career professionals (ECPs), public partners, volunteers, and carers to explore learning partnerships. Influenced by evaluative inquiry, this qualitative study used a free text response to allow participants to give their own opinion. A total of 153 participants (50 public partners and 103 students and professionals representing 11 healthcare professions) took part. Participants were divided into mixed groups of six (n = 25) and asked to identify areas where students, professionals, and public could work together to improve health professional education. Each group documented their discussions by summarising agreed areas and next steps. Responses were collected and transcribed for inductive content analysis. Seven key themes (areas for joint working) were identified: communication, public as partners, standards of conduct, IPE, quality improvement, education, and learning environments. The team-based learning format enabled undergraduate and postgraduate health professionals to achieve consensus with public partners on areas for IPE and collaboration. Some of our results may be context-specific but the approach is generalisable to other areas.

The neural basis of responsibility attribution in decision-making.

Science.gov (United States)

Li, Peng; Shen, Yue; Sui, Xue; Chen, Changming; Feng, Tingyong; Li, Hong; Holroyd, Clay

2013-01-01

Social responsibility links personal behavior with societal expectations and plays a key role in affecting an agent's emotional state following a decision. However, the neural basis of responsibility attribution remains unclear. In two previous event-related brain potential (ERP) studies we found that personal responsibility modulated outcome evaluation in gambling tasks. Here we conducted a functional magnetic resonance imaging (fMRI) study to identify particular brain regions that mediate responsibility attribution. In a context involving team cooperation, participants completed a task with their teammates and on each trial received feedback about team success and individual success sequentially. We found that brain activity differed between conditions involving team success vs. team failure. Further, different brain regions were associated with reinforcement of behavior by social praise vs. monetary reward. Specifically, right temporoparietal junction (RTPJ) was associated with social pride whereas dorsal striatum and dorsal anterior cingulate cortex (ACC) were related to reinforcement of behaviors leading to personal gain. The present study provides evidence that the RTPJ is an important region for determining whether self-generated behaviors are deserving of praise in a social context.

Privacy Protection on Multiple Sensitive Attributes

Science.gov (United States)

Li, Zhen; Ye, Xiaojun

In recent years, a privacy model called k-anonymity has gained popularity in the microdata releasing. As the microdata may contain multiple sensitive attributes about an individual, the protection of multiple sensitive attributes has become an important problem. Different from the existing models of single sensitive attribute, extra associations among multiple sensitive attributes should be invested. Two kinds of disclosure scenarios may happen because of logical associations. The Q&S Diversity is checked to prevent the foregoing disclosure risks, with an α Requirement definition used to ensure the diversity requirement. At last, a two-step greedy generalization algorithm is used to carry out the multiple sensitive attributes processing which deal with quasi-identifiers and sensitive attributes respectively. We reduce the overall distortion by the measure of Masking SA.

Attributes and descriptors for building performance evaluation

Directory of Open Access Journals (Sweden)

S. Gopikrishnan

2017-12-01

In order to obtain the right feedback in levels of satisfaction with respect to these attributes, there is a need to have appropriate descriptors for incorporation in a survey instrument. This paper identifies attributes that indicate building performance and provides simple description of these attributes based on which items can be generated for a questionnaire. Such items can enable any user/occupant to easily understand the characteristics of these attributes and offer an objective feedback during questionnaire survey.

Characterization of key aroma-active compounds in lychee (Litchi chinensis Sonn.).

Science.gov (United States)

Feng, Shi; Huang, Mingyang; Crane, Jonathan Henry; Wang, Yu

2018-04-01

Volatile compounds in 'Sweetheart' lychee were examined using gas chromatography-olfactometry/mass spectrometry (GC-O/MS). Solvent assisted flavor evaporation (SAFE) technique was used to identify the aroma-active compounds in lychee. Further characterization of the most important odorants in 'Sweetheart' lychee was achieved using aroma extract dilution analysis (AEDA). Thirty-one key aroma-active odorants were identified in the flavor dilution (FD) factor range of 2-1024. Methional (cooked potato) and geraniol (sweet, floral) exhibited the highest FD factors of 1024 and 512, respectively, these were followed by furaneol (sweet, caramel), nerol (floral, sweet), dimethyl trisulfide (DMTS) (preserved vegetable, sulfury), linalool (floral), (E,Z)-2,6 nonadienal (cucumber) and nerolidol (metalic, sesame oil). Furthermore, the flavor profile of 'Sweetheart' lychee was described by sensory analysis. Floral, tropical fruit, peach/apricot and honey were scored with relatively high scores for each aroma attribute. The sweetness rating was the highest score among all the attributes. Copyright © 2017. Published by Elsevier B.V.

Qualitative analysis of patient-centered decision attributes associated with initiating hepatitis C treatment.

Science.gov (United States)

Zuchowski, Jessica L; Hamilton, Alison B; Pyne, Jeffrey M; Clark, Jack A; Naik, Aanand D; Smith, Donna L; Kanwal, Fasiha

2015-10-01

In this era of a constantly changing landscape of antiviral treatment options for chronic viral hepatitis C (CHC), shared clinical decision-making addresses the need to engage patients in complex treatment decisions. However, little is known about the decision attributes that CHC patients consider when making treatment decisions. We identify key patient-centered decision attributes, and explore relationships among these attributes, to help inform the development of a future CHC shared decision-making aid. Semi-structured qualitative interviews with CHC patients at four Veterans Health Administration (VHA) hospitals, in three comparison groups: contemplating CHC treatment at the time of data collection (Group 1), recently declined CHC treatment (Group 2), or recently started CHC treatment (Group 3). Participant descriptions of decision attributes were analyzed for the entire sample as well as by patient group and by gender. Twenty-nine Veteran patients participated (21 males, eight females): 12 were contemplating treatment, nine had recently declined treatment, and eight had recently started treatment. Patients on average described eight (range 5-13) decision attributes. The attributes most frequently reported overall were: physical side effects (83%); treatment efficacy (79%), new treatment drugs in development (55%); psychological side effects (55%); and condition of the liver (52%), with some variation based on group and gender. Personal life circumstance attributes (such as availability of family support and the burden of financial responsibilities) influencing treatment decisions were also noted by all participants. Multiple decision attributes were interrelated in highly complex ways. Participants considered numerous attributes in their CHC treatment decisions. A better understanding of these attributes that influence patient decision-making is crucial in order to inform patient-centered clinical approaches to care (such as shared decision-making augmented

The World's Best Anglo-American Universities' Knowledge Management Attributes

Science.gov (United States)

Tower, Greg; Plummer, Julie; Ridgewell, Brenda; Goforth, Emily; Tower, Spence

2009-01-01

Key knowledge management attributes of the world's most prestigious Anglo-American universities are surprisingly under-reported especially by best ranked USA institutions. This leads to calls for more transparency.

Quality attributes for mobile applications

OpenAIRE

Fernandes, João M.; Ferreira, André Leite

2016-01-01

A mobile application is a type of software application developed to run on a mobile device. The chapter discusses the main characteristics of mobile devices, since they have a great impact on mobile applications. It also presents the classification of mobile applications according to two main types: native and web-based applications. Finally, this chapter identifies the most relevant types of quality attributes for mobile applications. It shows that the relevant quality attributes for mobile ...

A Reasoning Method of Cyber-Attack Attribution Based on Threat Intelligence

OpenAIRE

Li Qiang; Yang Ze-Ming; Liu Bao-Xu; Jiang Zheng-Wei

2016-01-01

With the increasing complexity of cyberspace security, the cyber-attack attribution has become an important challenge of the security protection systems. The difficult points of cyber-attack attribution were forced on the problems of huge data handling and key data missing. According to this situation, this paper presented a reasoning method of cyber-attack attribution based on threat intelligence. The method utilizes the intrusion kill chain model and Bayesian network to build attack chain a...

Identifying the key personnel in a nurse-initiated hospital waste reduction program.

Science.gov (United States)

McDermott-Levy, Ruth; Fazzini, Carol

2010-01-01

Hospitals in the United States generate more than 6600 tons of trash a day and approximately 85% of the waste is nonhazardous solid waste such as food, cardboard, and plastic. Treatment and management of hospital waste can lead to environmental problems for the communities that receive the waste. One health system's shared governance model provided the foundation to develop a nurse-led hospital waste reduction program that focused on point-of-care waste management. Waste reduction program development required working with a variety of departments within and external to the health system. The interdisciplinary approach informed the development of the waste reduction program. This article identifies the key departments that were necessary to include when developing a hospital waste reduction program.

GuiaTreeKey, a multi-access electronic key to identify tree genera in French Guiana.

Science.gov (United States)

Engel, Julien; Brousseau, Louise; Baraloto, Christopher

2016-01-01

The tropical rainforest of Amazonia is one of the most species-rich ecosystems on earth, with an estimated 16000 tree species. Due to this high diversity, botanical identification of trees in the Amazon is difficult, even to genus, often requiring the assistance of parataxonomists or taxonomic specialists. Advances in informatics tools offer a promising opportunity to develop user-friendly electronic keys to improve Amazonian tree identification. Here, we introduce an original multi-access electronic key for the identification of 389 tree genera occurring in French Guiana terra-firme forests, based on a set of 79 morphological characters related to vegetative, floral and fruit characters. Its purpose is to help Amazonian tree identification and to support the dissemination of botanical knowledge to non-specialists, including forest workers, students and researchers from other scientific disciplines. The electronic key is accessible with the free access software Xper ², and the database is publicly available on figshare: https://figshare.com/s/75d890b7d707e0ffc9bf (doi: 10.6084/m9.figshare.2682550).

The neural basis of responsibility attribution in decision-making.

Directory of Open Access Journals (Sweden)

Peng Li

Full Text Available Social responsibility links personal behavior with societal expectations and plays a key role in affecting an agent's emotional state following a decision. However, the neural basis of responsibility attribution remains unclear. In two previous event-related brain potential (ERP studies we found that personal responsibility modulated outcome evaluation in gambling tasks. Here we conducted a functional magnetic resonance imaging (fMRI study to identify particular brain regions that mediate responsibility attribution. In a context involving team cooperation, participants completed a task with their teammates and on each trial received feedback about team success and individual success sequentially. We found that brain activity differed between conditions involving team success vs. team failure. Further, different brain regions were associated with reinforcement of behavior by social praise vs. monetary reward. Specifically, right temporoparietal junction (RTPJ was associated with social pride whereas dorsal striatum and dorsal anterior cingulate cortex (ACC were related to reinforcement of behaviors leading to personal gain. The present study provides evidence that the RTPJ is an important region for determining whether self-generated behaviors are deserving of praise in a social context.

Process attributes in bio-ontologies

Directory of Open Access Journals (Sweden)

Andrade André Q

2012-08-01

Full Text Available Abstract Background Biomedical processes can provide essential information about the (mal- functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attributes, such as rates or regularities. The adequate representation of such process attributes has been a contentious issue in bio-ontologies recently; and domain ontologies have correspondingly developed ad hoc workarounds that compromise interoperability and logical consistency. Results We present a design pattern for the representation of process attributes that is compatible with upper ontology frameworks such as BFO and BioTop. Our solution rests on two key tenets: firstly, that many of the sorts of process attributes which are biomedically interesting can be characterised by the ways that repeated parts of such processes constitute, in combination, an overall process; secondly, that entities for which a full logical definition can be assigned do not need to be treated as primitive within a formal ontology framework. We apply this approach to the challenge of modelling and automatically classifying examples of normal and abnormal rates and patterns of heart beating processes, and discuss the expressivity required in the underlying ontology representation language. We provide full definitions for process attributes at increasing levels of domain complexity. Conclusions We show that a logical definition of process attributes is feasible, though limited by the expressivity of DL languages so that the creation of primitives is still necessary. This finding may endorse current formal upper-ontology frameworks as a way of ensuring consistency, interoperability and clarity.

Nuclear Forensics and Attribution for Improved Energy Security: The Use of Taggants in Nuclear Fuel

International Nuclear Information System (INIS)

Kristo, M J; Robel, M; Hutcheon, I D

2007-01-01

The Global Nuclear Energy Partnership (GNEP), recently announced by DOE Secretary Bodman, poses significant new challenges with regard to securing, safeguarding, monitoring and tracking nuclear materials. In order to reduce the risk of nuclear proliferation, new technologies must be developed to reduce the risk that nuclear material can be diverted from its intended use. Regardless of the specific nature of the fuel cycle, nuclear forensics and attribution will play key roles to ensure the effectiveness of nonproliferation controls and to deter the likelihood of illicit activities. As the leader of the DHS nuclear and radiological pre-detonation attribution program, LLNL is uniquely positioned to play a national leadership role in this effort. Ensuring that individuals or organizations engaged in illicit trafficking are rapidly identified and apprehended following theft or diversion of nuclear material provides a strong deterrent against unlawful activities. Key to establishing this deterrent is developing the ability to rapidly and accurately determine the identity, source and prior use history of any interdicted nuclear material. Taggants offer one potentially effective means for positively identifying lost or stolen nuclear fuels. Taggants are materials that can be encoded with a unique signature and introduced into nuclear fuel during fuel fabrication. During a nuclear forensics investigation, the taggant signature can be recovered and the nuclear material identified through comparison with information stored in an appropriate database. Unlike serial numbers or barcodes, microtaggants can provide positive identification with only partial recovery, providing extreme resistance to any attempt to delete or alter them

Identification of Chemical Attribution Signatures of Fentanyl Syntheses Using Multivariate Statistical Analysis of Orthogonal Analytical Data

Energy Technology Data Exchange (ETDEWEB)

Mayer, B. P. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Mew, D. A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); DeHope, A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Spackman, P. E. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Williams, A. M. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2015-09-24

Attribution of the origin of an illicit drug relies on identification of compounds indicative of its clandestine production and is a key component of many modern forensic investigations. The results of these studies can yield detailed information on method of manufacture, starting material source, and final product - all critical forensic evidence. In the present work, chemical attribution signatures (CAS) associated with the synthesis of the analgesic fentanyl, N-(1-phenylethylpiperidin-4-yl)-N-phenylpropanamide, were investigated. Six synthesis methods, all previously published fentanyl synthetic routes or hybrid versions thereof, were studied in an effort to identify and classify route-specific signatures. 160 distinct compounds and inorganic species were identified using gas and liquid chromatographies combined with mass spectrometric methods (GC-MS and LCMS/ MS-TOF) in conjunction with inductively coupled plasma mass spectrometry (ICPMS). The complexity of the resultant data matrix urged the use of multivariate statistical analysis. Using partial least squares discriminant analysis (PLS-DA), 87 route-specific CAS were classified and a statistical model capable of predicting the method of fentanyl synthesis was validated and tested against CAS profiles from crude fentanyl products deposited and later extracted from two operationally relevant surfaces: stainless steel and vinyl tile. This work provides the most detailed fentanyl CAS investigation to date by using orthogonal mass spectral data to identify CAS of forensic significance for illicit drug detection, profiling, and attribution.

A Sensitivity Analysis Approach to Identify Key Environmental Performance Factors

Directory of Open Access Journals (Sweden)

Xi Yu

2014-01-01

Full Text Available Life cycle assessment (LCA is widely used in design phase to reduce the product’s environmental impacts through the whole product life cycle (PLC during the last two decades. The traditional LCA is restricted to assessing the environmental impacts of a product and the results cannot reflect the effects of changes within the life cycle. In order to improve the quality of ecodesign, it is a growing need to develop an approach which can reflect the changes between the design parameters and product’s environmental impacts. A sensitivity analysis approach based on LCA and ecodesign is proposed in this paper. The key environmental performance factors which have significant influence on the products’ environmental impacts can be identified by analyzing the relationship between environmental impacts and the design parameters. Users without much environmental knowledge can use this approach to determine which design parameter should be first considered when (redesigning a product. A printed circuit board (PCB case study is conducted; eight design parameters are chosen to be analyzed by our approach. The result shows that the carbon dioxide emission during the PCB manufacture is highly sensitive to the area of PCB panel.

Characterization of key aroma-active compounds in lychee (Litchi chinensis Sonn.

Directory of Open Access Journals (Sweden)

Shi Feng

2018-04-01

Full Text Available Volatile compounds in ‘Sweetheart’ lychee were examined using gas chromatography-olfactometry/mass spectrometry (GC-O/MS. Solvent assisted flavor evaporation (SAFE technique was used to identify the aroma-active compounds in lychee. Further characterization of the most important odorants in ‘Sweetheart’ lychee was achieved using aroma extract dilution analysis (AEDA. Thirty-one key aroma-active odorants were identified in the flavor dilution (FD factor range of 2–1024. Methional (cooked potato and geraniol (sweet, floral exhibited the highest FD factors of 1024 and 512, respectively, these were followed by furaneol (sweet, caramel, nerol (floral, sweet, dimethyl trisulfide (DMTS (preserved vegetable, sulfury, linalool (floral, (E,Z-2,6 nonadienal (cucumber and nerolidol (metalic, sesame oil. Furthermore, the flavor profile of ‘Sweetheart’ lychee was described by sensory analysis. Floral, tropical fruit, peach/apricot and honey were scored with relatively high scores for each aroma attribute. The sweetness rating was the highest score among all the attributes. Keywords: AEDA, Aroma-active compounds, GC-MS/O, SAFE, Sensory analysis

Choice attributes in restaurant services: An exploratory study

Directory of Open Access Journals (Sweden)

Derli Luís Angnes

2013-08-01

Full Text Available There are about one million of bars and restaurants that generate around six millions of jobs in Brazil. Among the most important reasons to choose a restaurant are the service attributes. Attributes are judgments the client makes about the performance and quality of the service provided. The identification of restaurant choice attributes is important in order to propose a higher value to services and to make marketing strategies. This article aims to identify the choice attributes of service quality in restaurants. The methodology employed was a qualitative exploratory study based on interviews made using the critical incident technique. It was used a sample of 72 restaurant customers. The content analysis technique was used to treat and analyze the critical incidents obtained in the interviews. The result obtained was a relation of 615 critical incidents, which after being analyzed generated a list of 27 attributes that influence customer’s choice and customer’s evaluation of service quality provided in restaurants. The identified attributes can subsidize and contribute to improvement of future research and studies in the academic environment, besides contributing for the management of restaurants business.

To explore preferences and willingness to pay for attributes regarding stoma appliances amongst patients in the UK, France and Germany.

Science.gov (United States)

Nafees, Beenish; Lloyd, Andrew; Elkin, Eric; Porret, Terri

2015-04-01

To explore patient preferences regarding stoma appliances in the UK, France and Germany and to estimate willingness to pay (WTP) for attributes of stoma appliances. A discrete choice (DCE) survey was developed based on published literature, attributes of current available appliances and qualitative interviews with patients from the UK (N = 3), France (N = 2) and Germany (N = 2). Members from a patient panel in the UK, France and Germany were asked to participate in the DCE survey and to fill out two quality of life (QoL) questionnaires. Data were analyzed using the conditional logit model whereby the coefficients obtained from the model provided an estimate of the (log) odds ratios (ORs) of preference for attributes. WTP was estimated for each level of a given identified attribute. Seven key attributes were identified for the DCE survey: comfort and elastic flexibility, skin problems, early detection of leakage, leakage, filter performance, service/help after hospital discharge and out-of-pocket cost. A total of 415 participants (166 patients in UK, 99 in France, and 150 in Germany) completed the questionnaires. All attributes were significant predictors of choice. The two most important drivers of preference were the attributes comfort and elastic flexibility and skin problems which resulted in high WTP values. Appliances which were able to detect episodes of leakage were also of high importance to participants' appliances. The results show the importance of different attributes of stoma appliances for patients. Improving comfort and elastic flexibility, and risk of skin problems were the most important aspects of appliances. The WTP values indicate the value people place on improvement in each attribute of appliances.

Computational modeling identifies key gene regulatory interactions underlying phenobarbital-mediated tumor promotion

Science.gov (United States)

Luisier, Raphaëlle; Unterberger, Elif B.; Goodman, Jay I.; Schwarz, Michael; Moggs, Jonathan; Terranova, Rémi; van Nimwegen, Erik

2014-01-01

Gene regulatory interactions underlying the early stages of non-genotoxic carcinogenesis are poorly understood. Here, we have identified key candidate regulators of phenobarbital (PB)-mediated mouse liver tumorigenesis, a well-characterized model of non-genotoxic carcinogenesis, by applying a new computational modeling approach to a comprehensive collection of in vivo gene expression studies. We have combined our previously developed motif activity response analysis (MARA), which models gene expression patterns in terms of computationally predicted transcription factor binding sites with singular value decomposition (SVD) of the inferred motif activities, to disentangle the roles that different transcriptional regulators play in specific biological pathways of tumor promotion. Furthermore, transgenic mouse models enabled us to identify which of these regulatory activities was downstream of constitutive androstane receptor and β-catenin signaling, both crucial components of PB-mediated liver tumorigenesis. We propose novel roles for E2F and ZFP161 in PB-mediated hepatocyte proliferation and suggest that PB-mediated suppression of ESR1 activity contributes to the development of a tumor-prone environment. Our study shows that combining MARA with SVD allows for automated identification of independent transcription regulatory programs within a complex in vivo tissue environment and provides novel mechanistic insights into PB-mediated hepatocarcinogenesis. PMID:24464994

Protocol for a thematic synthesis to identify key themes and messages from a palliative care research network.

LENUS (Irish Health Repository)

Nicholson, Emma

2016-10-21

Research networks that facilitate collaborative research are increasing both regionally and globally and such collaborations contribute greatly to knowledge transfer particularly in health research. The Palliative Care Research Network is an Irish-based network that seeks to create opportunities and engender a collaborative environment to encourage innovative research that is relevant for policy and practice. The current review outlines a methodology to identify cross-cutting messages to identify how dissemination outputs can be optimized to ensure that key messages from this research reaches all knowledge users.

Assessing health status and quality-of-life instruments: attributes and review criteria.

Science.gov (United States)

Aaronson, Neil; Alonso, Jordi; Burnam, Audrey; Lohr, Kathleen N; Patrick, Donald L; Perrin, Edward; Stein, Ruth E

2002-05-01

The field of health status and quality of life (QoL) measurement - as a formal discipline with a cohesive theoretical framework, accepted methods, and diverse applications--has been evolving for the better part of 30 years. To identify health status and QoL instruments and review them against rigorous criteria as a precursor to creating an instrument library for later dissemination, the Medical Outcomes Trust in 1994 created an independently functioning Scientific Advisory Committee (SAC). In the mid-1990s, the SAC defined a set of attributes and criteria to carry out instrument assessments; 5 years later, it updated and revised these materials to take account of the expanding theories and technologies upon which such instruments were being developed. This paper offers the SAC's current conceptualization of eight key attributes of health status and QoL instruments (i.e., conceptual and measurement model; reliability; validity; responsiveness; interpretability; respondent and administrative burden; alternate forms; and cultural and language adaptations) and the criteria by which instruments would be reviewed on each of those attributes. These are suggested guidelines for the field to consider and debate; as measurement techniques become both more familiar and more sophisticated, we expect that experts will wish to update and refine these criteria accordingly.

The Real maccoyii: Identifying Tuna Sushi with DNA Barcodes – Contrasting Characteristic Attributes and Genetic Distances

Science.gov (United States)

Lowenstein, Jacob H.; Amato, George; Kolokotronis, Sergios-Orestis

2009-01-01

Background The use of DNA barcodes for the identification of described species is one of the least controversial and most promising applications of barcoding. There is no consensus, however, as to what constitutes an appropriate identification standard and most barcoding efforts simply attempt to pair a query sequence with reference sequences and deem identification successful if it falls within the bounds of some pre-established cutoffs using genetic distance. Since the Renaissance, however, most biological classification schemes have relied on the use of diagnostic characters to identify and place species. Methodology/Principal Findings Here we developed a cytochrome c oxidase subunit I character-based key for the identification of all tuna species of the genus Thunnus, and compared its performance with distance-based measures for identification of 68 samples of tuna sushi purchased from 31 restaurants in Manhattan (New York City) and Denver, Colorado. Both the character-based key and GenBank BLAST successfully identified 100% of the tuna samples, while the Barcode of Life Database (BOLD) as well as genetic distance thresholds, and neighbor-joining phylogenetic tree building performed poorly in terms of species identification. A piece of tuna sushi has the potential to be an endangered species, a fraud, or a health hazard. All three of these cases were uncovered in this study. Nineteen restaurant establishments were unable to clarify or misrepresented what species they sold. Five out of nine samples sold as a variant of “white tuna” were not albacore (T. alalunga), but escolar (Lepidocybium flavorunneum), a gempylid species banned for sale in Italy and Japan due to health concerns. Nineteen samples were northern bluefin tuna (T. thynnus) or the critically endangered southern bluefin tuna (T. maccoyii), though nine restaurants that sold these species did not state these species on their menus. Conclusions/Significance The Convention on International Trade

Consumer Preferences for Hearing Aid Attributes

Science.gov (United States)

Lataille, Angela T.; Buttorff, Christine; White, Sharon; Niparko, John K.

2012-01-01

Low utilization of hearing aids has drawn increased attention to the study of consumer preferences using both simple ratings (e.g., Likert scale) and conjoint analyses, but these two approaches often produce inconsistent results. The study aims to directly compare Likert scales and conjoint analysis in identifying important attributes associated with hearing aids among those with hearing loss. Seven attributes of hearing aids were identified through qualitative research: performance in quiet settings, comfort, feedback, frequency of battery replacement, purchase price, water and sweat resistance, and performance in noisy settings. The preferences of 75 outpatients with hearing loss were measured with both a 5-point Likert scale and with 8 paired-comparison conjoint tasks (the latter being analyzed using OLS [ordinary least squares] and logistic regression). Results were compared by examining implied willingness-to-pay and Pearson’s Rho. A total of 56 respondents (75%) provided complete responses. Two thirds of respondents were male, most had sensorineural hearing loss, and most were older than 50; 44% of respondents had never used a hearing aid. Both methods identified improved performance in noisy settings as the most valued attribute. Respondents were twice as likely to buy a hearing aid with better functionality in noisy environments (p < .001), and willingness to pay for this attribute ranged from US$2674 on the Likert to US$9000 in the conjoint analysis. The authors find a high level of concordance between the methods—a result that is in stark contrast with previous research. The authors conclude that their result stems from constraining the levels on the Likert scale. PMID:22514094

A genetic screen identifies BRCA2 and PALB2 as key regulators of G2 checkpoint maintenance

DEFF Research Database (Denmark)

Menzel, Tobias; Nähse-Kumpf, Viola; Kousholt, Arne Nedergaard

2011-01-01

To identify key connections between DNA-damage repair and checkpoint pathways, we performed RNA interference screens for regulators of the ionizing radiation-induced G2 checkpoint, and we identified the breast cancer gene BRCA2. The checkpoint was also abrogated following depletion of PALB2......, an interaction partner of BRCA2. BRCA2 and PALB2 depletion led to premature checkpoint abrogation and earlier activation of the AURORA A-PLK1 checkpoint-recovery pathway. These results indicate that the breast cancer tumour suppressors and homologous recombination repair proteins BRCA2 and PALB2 are main...

Impact of service attributes on customer satisfaction and loyalty in a healthcare context.

Science.gov (United States)

Lonial, Subash; Raju, P S

2015-01-01

The purpose of this paper is to examine the role of perceived service attributes in the development of overall customer satisfaction (OCS) and customer loyalty (CL) in a health-care setting. This paper also sheds light on the role of hospitalist physicians (HPs) and offers suggestions to improve patient satisfaction and loyalty. A telephone survey was used to collect data from recently hospitalized patients with respect to their HP. Structural equations modeling (SEM) was used to confirm the overall relationships between perceived service quality (PSQ), OCS and CL. The sample was then divided into customer relationship groups (CRGs) based on satisfaction and loyalty measures. Discriminant analysis was used to determine which attributes differentiated most between high and low satisfaction and loyalty groups. Overall relationships among PSQ, OCS and CL were in conformity with the conceptual model. Findings also revealed that service attributes played an important role in distinguishing between high and low satisfaction and loyalty groups, although some attributes were more important than others and different attributes emerged as being key influencers for satisfaction and loyalty. The conceptual model used is a fairly straight forward model, and we have not considered the impact of individual factors such as expectations and value perceptions or involvement levels and demographic characteristics on service quality and overall satisfaction. The data for this study were provided by a major health maintenance organization (HMO), and there is room for improvement in the manner in which certain constructs were measured. For example, OCS, recommendation and retention all used single item measures, and it might have been preferable to use multiple item measures for these constructs. The study shows that organizations can benefit by identifying and focusing on critical attributes as part of their customer relationship management program. The SEM results provide strong

Attribute based encryption for secure sharing of E-health data

Science.gov (United States)

Charanya, R.; Nithya, S.; Manikandan, N.

2017-11-01

Distributed computing is one of the developing innovations in IT part and information security assumes a real part. It includes sending gathering of remote server and programming that permit the unified information and online access to PC administrations. Distributed computing depends on offering of asset among different clients are additionally progressively reallocated on interest. Cloud computing is a revolutionary computing paradigm which enables flexible, on-demand and low-cost usage of computing resources. The reasons for security and protection issues, which rise on the grounds that the health information possessed by distinctive clients are put away in some cloud servers rather than under their own particular control”z. To deal with security problems, various schemes based on the Attribute-Based Encryption have been proposed. In this paper, in order to make ehealth data’s more secure we use multi party in cloud computing system. Where the health data is encrypted using attributes and key policy. And the user with a particular attribute and key policy alone will be able to decrypt the health data after it is verified by “key distribution centre” and the “secure data distributor”. This technique can be used in medical field for secure storage of patient details and limiting to particular doctor access. To make data’s scalable secure we need to encrypt the health data before outsourcing.

Access control based on attribute certificates for medical intranet applications.

Science.gov (United States)

Mavridis, I; Georgiadis, C; Pangalos, G; Khair, M

2001-01-01

Clinical information systems frequently use intranet and Internet technologies. However these technologies have emphasized sharing and not security, despite the sensitive and private nature of much health information. Digital certificates (electronic documents which recognize an entity or its attributes) can be used to control access in clinical intranet applications. To outline the need for access control in distributed clinical database systems, to describe the use of digital certificates and security policies, and to propose the architecture for a system using digital certificates, cryptography and security policy to control access to clinical intranet applications. We have previously developed a security policy, DIMEDAC (Distributed Medical Database Access Control), which is compatible with emerging public key and privilege management infrastructure. In our implementation approach we propose the use of digital certificates, to be used in conjunction with DIMEDAC. Our proposed access control system consists of two phases: the ways users gain their security credentials; and how these credentials are used to access medical data. Three types of digital certificates are used: identity certificates for authentication; attribute certificates for authorization; and access-rule certificates for propagation of access control policy. Once a user is identified and authenticated, subsequent access decisions are based on a combination of identity and attribute certificates, with access-rule certificates providing the policy framework. Access control in clinical intranet applications can be successfully and securely managed through the use of digital certificates and the DIMEDAC security policy.

Postsecondary Students With Psychiatric Disabilities Identify Core Services and Key Ingredients to Supporting Education Goals.

Science.gov (United States)

Biebel, Kathleen; Mizrahi, Raphael; Ringeisen, Heather

2017-10-26

Accessing and successfully completing postsecondary educational opportunities may be challenging for those living with psychiatric disabilities. This exploratory study highlights the experiences of individuals with psychiatric disabilities participating in postsecondary educational support initiatives. Investigators conducted case studies with 3 education support initiatives across the United States. Focus groups revealed what concrete supported education services were helpful and key ingredients in delivering education supports. Access to specialists, mindfulness techniques, help with time management and procrastination, and facilitating classroom accommodations were identified as critical. Developing authentic relationships with supported education staff, flexibility in service delivery and access to student peers living with psychiatric disabilities were noted as key ingredients in service delivery. Incorporating the voice of students with psychiatric disabilities into supported education services can increase access, involvement, and retention, therein providing more supports to students with psychiatric disabilities achieving their postsecondary education goals. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Transfer and use of generation attributes

International Nuclear Information System (INIS)

Jansen, J.C.

2005-06-01

Key issues regarding generation attribute accounting are being considered in the U.S., following similar discussions related to their use in Europe. Strict substantiation, environmental additionality and consistency criteria should be enshrined in nascent legislation being developed regarding claims over (electricity) generation attributes, and suitable standardization of disclosure labels should be mandated for electricity offerings to end users. In this way, the issue of multiple counting can be addressed effectively, consumer protection in the electricity market reliably ensured, and confidence in the integrity of green power products enhanced. For the time being, non-hydro renewable electricity cannot gain substantial market share without specific policy stimulation. Yet, both in Europe and in the U.S., credible facilitation of the consumer's choice in the electricity market is set to unleash considerable addition

Managing employer brand attributes to attract potential future leaders

DEFF Research Database (Denmark)

Bonaiuto, Marino; De Dominicis, Stefano; Illia, Laura

2013-01-01

for attracting talented people. Using three empirical studies, we identify brand attributes that have not been very widely diffused among real companies (versus ideal) but are relevant for attracting young professionals with the potential to become leaders. We also identify which brand attributes already present...... among real employees allow for attracting talented individuals versus the non-talented ones. The three studies are conducted with a sample of 493, 729 and 1605 recent graduates from Italian universities, respectively. The results indicate that the most idealized brand attributes are related...... are discussed with reference to how they contribute to our understanding of EB, brand management and the attraction of future leaders....

Identifying the key concerns of Irish persons with intellectual disability.

Science.gov (United States)

García Iriarte, Edurne; O'Brien, Patricia; McConkey, Roy; Wolfe, Marie; O'Doherty, Siobhain

2014-11-01

Internationally, people with intellectual disability are socially marginalized, and their rights under the United Nations Convention for the Rights of Persons with Disabilities (CRPD) are often ignored. This paper aims to define the key concerns of adults with an intellectual disability in relation to their participation in society using an inclusive research strategy for both data gathering and data analysis. A national study involving 23 focus groups and 168 persons was conducted on the island of Ireland with people with intellectual disability as co-facilitators. A thematic content analysis was undertaken of the verbatim transcripts initially by university co-researchers, and 19 themes were identified. Co-researchers with intellectual disability joined in identifying the eight core themes. These were as follows: living options, employment, relationships, citizenship, leisure time, money management, self-advocacy, and communication. The concerns are discussed within the framework of the CRPD, and implications for transforming service policy are drawn. Why we did the research In many countries, people with intellectual disability have difficulties doing things other people without disabilities do, for example to study, to get a job or to live independently. They also find that their rights are not respected under the Convention on the Rights of Persons with Disabilities (the Convention). We did this study to Learn what are the main issues for adults with intellectual disability in Ireland. Do research with people with intellectual disability. How we did the research People with intellectual disability and their supporters worked with university researchers to plan and do the research. We met with people in groups and 168 people told us about things important to them. What we found out We found that there were very important things that people talked about in the groups. We chose the most important: living options, employment, relationships, rights, leisure, money

Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer

Science.gov (United States)

Samala, Ravi K.; Chan, Heang-Ping; Hadjiiski, Lubomir; Helvie, Mark A.; Kim, Renaid

2017-03-01

Understanding the key radiogenomic associations for breast cancer between DCE-MRI and micro-RNA expressions is the foundation for the discovery of radiomic features as biomarkers for assessing tumor progression and prognosis. We conducted a study to analyze the radiogenomic associations for breast cancer using the TCGA-TCIA data set. The core idea that tumor etiology is a function of the behavior of miRNAs is used to build the regression models. The associations based on regression are analyzed for three study outcomes: diagnosis, prognosis, and treatment. The diagnosis group consists of miRNAs associated with clinicopathologic features of breast cancer and significant aberration of expression in breast cancer patients. The prognosis group consists of miRNAs which are closely associated with tumor suppression and regulation of cell proliferation and differentiation. The treatment group consists of miRNAs that contribute significantly to the regulation of metastasis thereby having the potential to be part of therapeutic mechanisms. As a first step, important miRNA expressions were identified and their ability to classify the clinical phenotypes based on the study outcomes was evaluated using the area under the ROC curve (AUC) as a figure-of-merit. The key mapping between the selected miRNAs and radiomic features were determined using least absolute shrinkage and selection operator (LASSO) regression analysis within a two-loop leave-one-out cross-validation strategy. These key associations indicated a number of radiomic features from DCE-MRI to be potential biomarkers for the three study outcomes.

Attributes to facilitate e-waste recycling behaviour

Directory of Open Access Journals (Sweden)

Senawi Nur Hidayah

2016-01-01

Full Text Available This study aims to identify the set of attributes to facilitate electronic waste (e-waste behaviour among the community. E-waste disposal is increasing from year to year in parallel with increasing of global population. The short lifespan of electronics and poor e-waste recycling behaviour is among the main contributors to the steadily increasing of e-waste generated. Current recycling rate among the nation is lacking behind, which is only 10.5%. A questionnaire survey has been conducted among the students in Universiti Teknologi Malaysia to evaluate the current e-waste recycling practice. The results showed that majority of the respondents did not recycle their e-waste on campus. Aggressive efforts is needed to realize the country’s target of 20% recycling rate in year 2020, one of the effective paths is to minimize e-waste generation via active e-waste recycling behaviour among the community. Extensive literatures have been reviewed to classify the attributes to facilitate effective e-waste recycling among the community. Total of five attributes that identified in this study which are Convenience of E- waste Recycling Infrastruture and Services, E-waste Recycling Information, Incentives For E-waste Recycling, Reminder to Recycle E-waste And E-waste Recycling Infrastructure and Services. The set of attributes identified in this study may serve as guideline for the management in designing program to foster e-waste recycling behaviour among the community.

"What Happened?" Teaching Attribution Theory through Ambiguous Prompts

Science.gov (United States)

McArthur, John

2011-01-01

The concept of attribution, "the act of explaining why something happens or why a person acts a particular way," is typically an abstract concept. This 35-50-minute activity invites students to make a series of attributions by asking them "What happened?" in ambiguous scenes presented in class. Then, students retrospectively identify what…

Dynamics of western career attributes in the Russian context

NARCIS (Netherlands)

Khapova, S.N.; Korotov, K.

2007-01-01

Purpose - The purpose of this article is to raise awareness of the dynamic character of career and its key attributes, and the embeddedness of their definitions and meanings in national social, political and economic contexts. Design/methodology/approach - Features of three recent distinct social,

Analysing PKCS#11 Key Management APIs with Unbounded Fresh Data

Science.gov (United States)

Fröschle, Sibylle; Steel, Graham

We extend Delaune, Kremer and Steel’s framework for analysis of PKCS#11-based APIs from bounded to unbounded fresh data. We achieve this by: formally defining the notion of an attribute policy; showing that a well-designed API should have a certain class of policy we call complete; showing that APIs with complete policies may be safely abstracted to APIs where the attributes are fixed; and proving that these static APIs can be analysed in a small bounded model such that security properties will hold for the unbounded case. We automate analysis in our framework using the SAT-based security protocol model checker SATMC. We show that a symmetric key management subset of the Eracom PKCS#11 API, used in their ProtectServer product, preserves the secrecy of sensitive keys for unbounded numbers of fresh keys and handles, i.e. pointers to keys. We also show that this API is not robust: if an encryption key is lost to the intruder, SATMC finds an attack whereby all the keys may be compromised.

Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology.

Science.gov (United States)

Zhang, Min; Luo, Meifen; Nie, Rui; Zhang, Yan

2017-12-01

This paper aims to explore factors influencing the healthcare wearable technology adoption intention from perspectives of technical attributes (perceived convenience, perceived irreplaceability, perceived credibility and perceived usefulness), health attribute (health belief) and consumer attributes (consumer innovativeness, conspicuous consumption, informational reference group influence and gender difference). By integrating technology acceptance model, health belief model, snob effect and conformity and reference group theory, hypotheses and research model are proposed. The empirical investigation (N=436) collects research data through questionnaire. Results show that the adoption intention of healthcare wearable technology is influenced by technical attributes, health attribute and consumer attributes simultaneously. For technical attributes, perceived convenience and perceived credibility both positively affect perceived usefulness, and perceived usefulness influences adoption intention. The relation between perceived irreplaceability and perceived usefulness is only supported by males. For health attribute, health belief affects perceived usefulness for females. For consumer attributes, conspicuous consumption and informational reference group influence can significantly moderate the relation between perceived usefulness and adoption intention and the relation between consumer innovativeness and adoption intention respectively. What's more, consumer innovativeness significantly affects adoption intention for males. This paper aims to discuss technical attributes, health attribute and consumer attributes and their roles in the adoption intention of healthcare wearable technology. Findings may provide enlightenment to differentiate product developing and marketing strategies and provide some implications for clinical medicine. Copyright © 2017 Elsevier B.V. All rights reserved.

Exploring the effects of spatial autocorrelation when identifying key drivers of wildlife crop-raiding.

Science.gov (United States)

Songhurst, Anna; Coulson, Tim

2014-03-01

Few universal trends in spatial patterns of wildlife crop-raiding have been found. Variations in wildlife ecology and movements, and human spatial use have been identified as causes of this apparent unpredictability. However, varying spatial patterns of spatial autocorrelation (SA) in human-wildlife conflict (HWC) data could also contribute. We explicitly explore the effects of SA on wildlife crop-raiding data in order to facilitate the design of future HWC studies. We conducted a comparative survey of raided and nonraided fields to determine key drivers of crop-raiding. Data were subsampled at different spatial scales to select independent raiding data points. The model derived from all data was fitted to subsample data sets. Model parameters from these models were compared to determine the effect of SA. Most methods used to account for SA in data attempt to correct for the change in P-values; yet, by subsampling data at broader spatial scales, we identified changes in regression estimates. We consequently advocate reporting both model parameters across a range of spatial scales to help biological interpretation. Patterns of SA vary spatially in our crop-raiding data. Spatial distribution of fields should therefore be considered when choosing the spatial scale for analyses of HWC studies. Robust key drivers of elephant crop-raiding included raiding history of a field and distance of field to a main elephant pathway. Understanding spatial patterns and determining reliable socio-ecological drivers of wildlife crop-raiding is paramount for designing mitigation and land-use planning strategies to reduce HWC. Spatial patterns of HWC are complex, determined by multiple factors acting at more than one scale; therefore, studies need to be designed with an understanding of the effects of SA. Our methods are accessible to a variety of practitioners to assess the effects of SA, thereby improving the reliability of conservation management actions.

Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution

Directory of Open Access Journals (Sweden)

Overdorf Rebekah

2016-07-01

Full Text Available Stylometry is a form of authorship attribution that relies on the linguistic information to attribute documents of unknown authorship based on the writing styles of a suspect set of authors. This paper focuses on the cross-domain subproblem where the known and suspect documents differ in the setting in which they were created. Three distinct domains, Twitter feeds, blog entries, and Reddit comments, are explored in this work. We determine that state-of-the-art methods in stylometry do not perform as well in cross-domain situations (34.3% accuracy as they do in in-domain situations (83.5% accuracy and propose methods that improve performance in the cross-domain setting with both feature and classification level techniques which can increase accuracy to up to 70%. In addition to testing these approaches on a large real world dataset, we also examine real world adversarial cases where an author is actively attempting to hide their identity. Being able to identify authors across domains facilitates linking identities across the Internet making this a key security and privacy concern; users can take other measures to ensure their anonymity, but due to their unique writing style, they may not be as anonymous as they believe.

Climate Central World Weather Attribution (WWA) project: Real-time extreme weather event attribution analysis

Science.gov (United States)

Haustein, Karsten; Otto, Friederike; Uhe, Peter; Allen, Myles; Cullen, Heidi

2015-04-01

Extreme weather detection and attribution analysis has emerged as a core theme in climate science over the last decade or so. By using a combination of observational data and climate models it is possible to identify the role of climate change in certain types of extreme weather events such as sea level rise and its contribution to storm surges, extreme heat events and droughts or heavy rainfall and flood events. These analyses are usually carried out after an extreme event has occurred when reanalysis and observational data become available. The Climate Central WWA project will exploit the increasing forecast skill of seasonal forecast prediction systems such as the UK MetOffice GloSea5 (Global seasonal forecasting system) ensemble forecasting method. This way, the current weather can be fed into climate models to simulate large ensembles of possible weather scenarios before an event has fully emerged yet. This effort runs along parallel and intersecting tracks of science and communications that involve research, message development and testing, staged socialization of attribution science with key audiences, and dissemination. The method we employ uses a very large ensemble of simulations of regional climate models to run two different analyses: one to represent the current climate as it was observed, and one to represent the same events in the world that might have been without human-induced climate change. For the weather "as observed" experiment, the atmospheric model uses observed sea surface temperature (SST) data from GloSea5 (currently) and present-day atmospheric gas concentrations to simulate weather events that are possible given the observed climate conditions. The weather in the "world that might have been" experiments is obtained by removing the anthropogenic forcing from the observed SSTs, thereby simulating a counterfactual world without human activity. The anthropogenic forcing is obtained by comparing the CMIP5 historical and natural simulations

Attribute correlates of hospital outpatient satisfaction.

Science.gov (United States)

Krueckeberg, H F; Hubbert, A

1995-01-01

Customer satisfaction (patient satisfaction) with hospital outpatient or ambulatory services is an important factor in influencing patient patronage and loyalty. Based on an empirical study, this article examines the attributes of the ambulatory care experience which were significantly associated with the level of satisfaction resulting from the most recent hospital ambulatory visit. This study focuses on identifying attributes of ambulatory services. This article brings to the health care marketing literature information on ambulatory satisfaction comparable to that which has been contributed to the literature regarding satisfaction with physician and hospital experiences.

Income inequality and alcohol attributable harm in Australia

Directory of Open Access Journals (Sweden)

Chikritzhs Tanya N

2009-02-01

Full Text Available Abstract Background There is little research on the relationship between key socioeconomic variables and alcohol related harms in Australia. The aim of this research was to examine the relationship between income inequality and the rates of alcohol-attributable hospitalisation and death at a local-area level in Australia. Method We conducted a cross sectional ecological analysis at a Local Government Area (LGA level of associations between data on alcohol caused harms and income inequality data after adjusting for socioeconomic disadvantage and remoteness of LGAs. The main outcome measures used were matched rate ratios for four measures of alcohol caused harm; acute (primarily related to the short term consequences of drinking and chronic (primarily related to the long term consequences of drinking alcohol-attributable hospitalisation and acute and chronic alcohol-attributable death. Matching was undertaken using control conditions (non-alcohol-attributable at an LGA level. Results A total of 885 alcohol-attributable deaths and 19467 alcohol-attributable hospitalisations across all LGAs were available for analysis. After weighting by the total number of cases in each LGA, the matched rate ratios of acute and chronic alcohol-attributable hospitalisation and chronic alcohol-attributable death were associated with the squared centred Gini coefficients of LGAs. This relationship was evident after adjusting for socioeconomic disadvantage and remoteness of LGAs. For both measures of hospitalisation the relationship was curvilinear; increases in income inequality were initially associated with declining rates of hospitalisation followed by large increases as the Gini coefficient increased beyond 0.15. The pattern for chronic alcohol-attributable death was similar, but without the initial decrease. There was no association between income inequality and acute alcohol-attributable death, probably due to the relatively small number of these types of death

Human-automation collaboration in manufacturing: identifying key implementation factors

OpenAIRE

Charalambous, George; Fletcher, Sarah; Webb, Philip

2013-01-01

Human-automation collaboration refers to the concept of human operators and intelligent automation working together interactively within the same workspace without conventional physical separation. This concept has commanded significant attention in manufacturing because of the potential applications, such as the installation of large sub-assemblies. However, the key human factors relevant to human-automation collaboration have not yet been fully investigated. To maximise effective implement...

The Use of Key Informant Method for Identifying Children with Blindness and Severe Visual Impairment in Developing Countries.

Science.gov (United States)

du Toit, Rènée; Courtright, Paul; Lewallen, Susan

2017-06-01

An estimated 19 million children are visually impaired; of these, 1.4 million are irreversibly blind. A key challenge is to identify them early in life to benefit maximally from visual rehabilitation, and/or treatment. This aggregative review and structured literature analysis summarizes evidence of what it is about the key informant (KI) approach that works to identify children with blindness or severe visual impairment (B/SVI) in the community (for whom, to what extent, in what circumstances, in what respect, how and why). Peer-reviewed (PubMed, hand search) and grey literature (Google, World Health Organization website, academic theses, direct requests) were included, and methods and criteria used for identification, productivity (number of children referred per KI), accuracy of referrals (positive predictive value, PPV), age of children with B/SVI, KI definition, sex, information about cost and comparisons aggregated. We included 31 documents describing 22 unique KI programs. Mostly KIs identified children with B/SVI in 1-3 weeks, i.e. "campaign mode." In 60%, KIs were community volunteers, others formal health sector workers (FHSW). Around 0.02-1.56 children per KI (median = 0.25) were successfully recruited. PPV ranged from 12 to 66%. In two studies comparing FHSWs and community KIs, the latter were 8 and 10 times more productive. KIs working in campaign mode may provide an effective approach to identifying children with B/SVI in communities. Including identification of ocular problems and/or other impairments has been recommended. Research on factors that influence effectiveness and on whether KIs continue to contribute could inform programs.

Maturation of social attribution skills in typically developing children: an investigation using the social attribution task.

Science.gov (United States)

Hu, Zhouyi; Chan, Raymond C K; McAlonan, Grainne M

2010-02-03

The assessment of social attribution skills in children can potentially identify and quantify developmental difficulties related to autism spectrum disorders and related conditions. However, relatively little is known about how these skills develop in typically developing children. Therefore the present study aimed to map the trajectory of social attribution skill acquisition in typically developing children from a young age. In the conventional social attribution task (SAT) participants ascribe feelings to moving shapes and describe their interaction in social terms. However, this format requires that participants understand both, that an inanimate shape is symbolic, and that its action is social in nature. This may be challenging for young children, and may be a potential confounder in studies of children with developmental disorders. Therefore we developed a modified SAT (mSAT) using animate figures (e.g. animals) to simplify the task. We used the SAT and mSAT to examine social attribution skill development in 154 healthy children (76 boys, 78 girls), ranging in age from 6 to 13 years and investigated the relationship between social attribution ability and executive function. The mSAT revealed a steady improvement in social attribution skills from the age of 6 years, and a significant advantage for girls compared to boys. In contrast, children under the age of 9 years performed at baseline on the conventional format and there were no gender differences apparent. Performance on neither task correlated with executive function after controlling for age and verbal IQ, suggesting that social attribution ability is independent of cognitive functioning. The present findings indicate that the mSAT is a sensitive measure of social attribution skills from a young age. This should be carefully considered when choosing assessments for young children and those with developmental disorders.

Maturation of social attribution skills in typically developing children: an investigation using the social attribution task

Directory of Open Access Journals (Sweden)

Chan Raymond CK

2010-02-01

Full Text Available Abstract Background The assessment of social attribution skills in children can potentially identify and quantify developmental difficulties related to autism spectrum disorders and related conditions. However, relatively little is known about how these skills develop in typically developing children. Therefore the present study aimed to map the trajectory of social attribution skill acquisition in typically developing children from a young age. Methods In the conventional social attribution task (SAT participants ascribe feelings to moving shapes and describe their interaction in social terms. However, this format requires that participants understand both, that an inanimate shape is symbolic, and that its action is social in nature. This may be challenging for young children, and may be a potential confounder in studies of children with developmental disorders. Therefore we developed a modified SAT (mSAT using animate figures (e.g. animals to simplify the task. We used the SAT and mSAT to examine social attribution skill development in 154 healthy children (76 boys, 78 girls, ranging in age from 6 to 13 years and investigated the relationship between social attribution ability and executive function. Results The mSAT revealed a steady improvement in social attribution skills from the age of 6 years, and a significant advantage for girls compared to boys. In contrast, children under the age of 9 years performed at baseline on the conventional format and there were no gender differences apparent. Performance on neither task correlated with executive function after controlling for age and verbal IQ, suggesting that social attribution ability is independent of cognitive functioning. The present findings indicate that the mSAT is a sensitive measure of social attribution skills from a young age. This should be carefully considered when choosing assessments for young children and those with developmental disorders.

Secure Data Access Control for Fog Computing Based on Multi-Authority Attribute-Based Signcryption with Computation Outsourcing and Attribute Revocation.

Science.gov (United States)

Xu, Qian; Tan, Chengxiang; Fan, Zhijie; Zhu, Wenye; Xiao, Ya; Cheng, Fujia

2018-05-17

Nowadays, fog computing provides computation, storage, and application services to end users in the Internet of Things. One of the major concerns in fog computing systems is how fine-grained access control can be imposed. As a logical combination of attribute-based encryption and attribute-based signature, Attribute-based Signcryption (ABSC) can provide confidentiality and anonymous authentication for sensitive data and is more efficient than traditional "encrypt-then-sign" or "sign-then-encrypt" strategy. Thus, ABSC is suitable for fine-grained access control in a semi-trusted cloud environment and is gaining more and more attention recently. However, in many existing ABSC systems, the computation cost required for the end users in signcryption and designcryption is linear with the complexity of signing and encryption access policy. Moreover, only a single authority that is responsible for attribute management and key generation exists in the previous proposed ABSC schemes, whereas in reality, mostly, different authorities monitor different attributes of the user. In this paper, we propose OMDAC-ABSC, a novel data access control scheme based on Ciphertext-Policy ABSC, to provide data confidentiality, fine-grained control, and anonymous authentication in a multi-authority fog computing system. The signcryption and designcryption overhead for the user is significantly reduced by outsourcing the undesirable computation operations to fog nodes. The proposed scheme is proven to be secure in the standard model and can provide attribute revocation and public verifiability. The security analysis, asymptotic complexity comparison, and implementation results indicate that our construction can balance the security goals with practical efficiency in computation.

Identifying Determinants of Organizational Development as the Key Developers of Employee Soft Skill

Directory of Open Access Journals (Sweden)

Shahjahan Laghari

2016-10-01

Full Text Available The purpose of this article is to identify the determinants of organizational development as the key developers of employee soft skills. Various studies have been taken where determinants of organizational development defining soft skills in employees are discussed. However, the current study is different in Pakistani industry context as the link was missing about the determinants of organizational development which in synchronized way help in developing soft skills in employees of firm. This research uses explanatory approach; incorporating secondary data extracted under the light of existing school of thoughts paired with quantification through data collected from respondents in Pakistani corporate sector. Hypotheses are tested using structural equation model (SEM technique. Results This research showed an affirmative link between determinants of organizational development and development of soft skills in employees. Finally, the study proposes enriching insights on few missing links that can be researched and triggered achieving maximized outcomes.

A mouse model of alcoholic liver fibrosis-associated acute kidney injury identifies key molecular pathways

International Nuclear Information System (INIS)

Furuya, Shinji; Chappell, Grace A.; Iwata, Yasuhiro; Uehara, Takeki; Kato, Yuki; Kono, Hiroshi; Bataller, Ramon; Rusyn, Ivan

2016-01-01

Clinical data strongly indicate that acute kidney injury (AKI) is a critical complication in alcoholic hepatitis, an acute-on-chronic form of liver failure in patients with advanced alcoholic fibrosis. Development of targeted therapies for AKI in this setting is hampered by the lack of an animal model. To enable research into molecular drivers and novel therapies for fibrosis- and alcohol-associated AKI, we aimed to combine carbon tetrachloride (CCl 4 )-induced fibrosis with chronic intra-gastric alcohol feeding. Male C57BL/6J mice were administered a low dose of CCl 4 (0.2 ml/kg 2 × week/6 weeks) followed by alcohol intragastrically (up to 25 g/kg/day for 3 weeks) and with continued CCl 4 . We observed that combined treatment with CCl 4 and alcohol resulted in severe liver injury, more pronounced than using each treatment alone. Importantly, severe kidney injury was evident only in the combined treatment group. This mouse model reproduced distinct pathological features consistent with AKI in human alcoholic hepatitis. Transcriptomic analysis of kidneys revealed profound effects in the combined treatment group, with enrichment for damage-associated pathways, such as apoptosis, inflammation, immune-response and hypoxia. Interestingly, Havcr1 and Lcn2, biomarkers of AKI, were markedly up-regulated. Overall, this study established a novel mouse model of fibrosis- and alcohol-associated AKI and identified key mechanistic pathways. - Highlights: • Acute kidney injury (AKI) is a critical complication in alcoholic hepatitis • We developed a novel mouse model of fibrosis- and alcohol-associated AKI • This model reproduces key molecular and pathological features of human AKI • This animal model can help identify new targeted therapies for alcoholic hepatitis

Identifying key drivers of greenhouse gas emissions from biomass feedstocks for energy production

International Nuclear Information System (INIS)

Johnson, David R.; Curtright, Aimee E.; Willis, Henry H.

2013-01-01

Highlights: • Production emissions dominate transportation and processing emissions. • Choice of feedstock, geographic location and prior land use drive emissions profile. • Within scenarios, emissions variability is driven by uncertainty in yields. • Favorable scenarios maximize carbon storage from direct land-use change. • Similarly, biomass production should attempt to minimize indirect land-use change. -- Abstract: Many policies in the United States, at both the federal and state levels, encourage the adoption of renewable energy from biomass. Though largely motivated by a desire to reduce greenhouse gas emissions, these policies do not explicitly identify scenarios in which the use of biomass will produce the greatest benefits. We have modeled “farm-to-hopper” emissions associated with seven biomass feedstocks, under a wide variety of scenarios and production choices, to characterize the uncertainty in emissions. We demonstrate that only a handful of factors have a significant impact on life cycle emissions: choice of feedstock, geographic location, prior land use, and time dynamics. Within a given production scenario, the remaining variability in emissions is driven by uncertainty in feedstock yields and the release rate of N 2 O into the atmosphere from nitrogen fertilizers. With few exceptions, transport and processing choices have relatively little impact on total emissions. These results illustrate the key decisions that will determine the success of biomass programs in reducing the emissions profile of energy production, and our publicly available model provides a useful tool for identifying the most beneficial production scenarios. While model data and results are restricted to biomass production in the contiguous United States, we provide qualitative guidance for identifying favorable production scenarios that should be applicable in other regions

Salmonella source attribution based on microbial subtyping

DEFF Research Database (Denmark)

Barco, Lisa; Barrucci, Federica; Olsen, John Elmerdahl

2013-01-01

Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping...... source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories...

Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach.

Science.gov (United States)

Si, Sheng-Li; You, Xiao-Yue; Liu, Hu-Chen; Huang, Jia

2017-08-19

Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that "accidents/adverse events", "nosocomial infection", ''incidents/errors", "number of operations/procedures" are significant influential indicators. Also, the indicators of "length of stay", "bed occupancy" and "financial measures" play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions.

Assessing Consumer Emotional Responses in the Presence and Absence of Critical Quality Attributes: A Case Study with Chicken Eggs.

Science.gov (United States)

Wardy, Wisdom; Sae-Eaw, Amporn; Sriwattana, Sujinda; No, Hong Kyoon; Prinyawiwatkul, Witoon

2015-07-01

Effects of attribute presence and absence on the emotional profile and consumer acceptability of products with varying qualities were assessed using eggs as an example. An online survey (n = 320) was used to evaluate emotional responses and acceptability to 5 types of egg quality attributes: intrinsic, aesthetic, extrinsic, expediency, and wholesome/safety, for both present and absent conditions. Attribute absence rather than presence evoked greater consumer discriminating emotions associated with eggs. Mean emotion intensity elicited by the presence of all quality attributes ranged from 1.67 (intrinsic; guilty) to 4.05 (wholesome; good) versus 2.01 (wholesome; satisfied) to 3.29 (wholesome; disgusted) when absent. Key positive emotions elicited by presence of attributes were active, calm, good, interested, happy, safe, and satisfied; while dominant negative emotions elicited by absence of attributes included disgusted and worried. Wholesome quality (constituted by egg freshness, "packing/best-before-date" and absence of visible cracks) exhibited the highest liking (7.65) and emotion intensities, while the emotional responses to both the presence and absence of intrinsic quality (constituted by nutrient-fortified egg, organic egg, and USDA-certified farm egg) were similar, reflecting their dynamic effects on emotions. Emotions and acceptability were more correlated for attribute absence than presence; and good, happy, and satisfied emotions were strongly related to egg acceptability (r ≥ 0.6). Egg product/packaging design can be oriented toward emphasizing wholesome and expedient attributes, since they enhance good, safe, and satisfied emotions, while minimizing disgust, worry, and boredom. The use of emotional responses and hedonic testing regarding attribute presence and absence would allow for improved selection of attributes critical to consumer acceptance of products. Assessing effects of attribute presence compared with absence on food-evoked emotions may

Improvement attributes in healthcare: implications for integrated care.

Science.gov (United States)

Harnett, Patrick John

2018-04-16

Purpose Healthcare quality improvement is a key concern for policy makers, regulators, carers and service users. Despite a contemporary consensus among policy makers that integrated care represents a means to substantially improve service outcomes, progress has been slow. Difficulties achieving sustained improvement at scale imply that methods employed are not sufficient and that healthcare improvement attributes may be different when compared to prior reference domains. The purpose of this paper is to examine and synthesise key improvement attributes relevant to a complex healthcare change process, specifically integrated care. Design/methodology/approach This study is based on an integrative literature review on systemic improvement in healthcare. Findings A central theme emerging from the literature review indicates that implementing systemic change needs to address the relationship between vision, methods and participant social dynamics. Practical implications Accommodating personal and professional network dynamics is required for systemic improvement, especially among high autonomy individuals. This reinforces the need to recognise the change process as taking place in a complex adaptive system where personal/professional purpose/meaning is central to the process. Originality/value Shared personal/professional narratives are insufficiently recognised as a powerful change force, under-represented in linear and rational empirical improvement approaches.

Attribution of observed surface humidity changes to human influence.

Science.gov (United States)

Willett, Katharine M; Gillett, Nathan P; Jones, Philip D; Thorne, Peter W

2007-10-11

Water vapour is the most important contributor to the natural greenhouse effect, and the amount of water vapour in the atmosphere is expected to increase under conditions of greenhouse-gas-induced warming, leading to a significant feedback on anthropogenic climate change. Theoretical and modelling studies predict that relative humidity will remain approximately constant at the global scale as the climate warms, leading to an increase in specific humidity. Although significant increases in surface specific humidity have been identified in several regions, and on the global scale in non-homogenized data, it has not been shown whether these changes are due to natural or human influences on climate. Here we use a new quality-controlled and homogenized gridded observational data set of surface humidity, with output from a coupled climate model, to identify and explore the causes of changes in surface specific humidity over the late twentieth century. We identify a significant global-scale increase in surface specific humidity that is attributable mainly to human influence. Specific humidity is found to have increased in response to rising temperatures, with relative humidity remaining approximately constant. These changes may have important implications, because atmospheric humidity is a key variable in determining the geographical distribution and maximum intensity of precipitation, the potential maximum intensity of tropical cyclones, and human heat stress, and has important effects on the biosphere and surface hydrology.

GuiaTreeKey, a multi-access electronic key to identify tree genera in French Guiana

OpenAIRE

Brousseau, Louise; Baraloto, Christopher

2016-01-01

The tropical rainforest of Amazonia is one of the most species-rich ecosystems on earth, with an estimated 16000 tree species. Due to this high diversity, botanical identification of trees in the Amazon is difficult, even to genus, often requiring the assistance of parataxonomists or taxonomic specialists. Advances in informatics tools offer a promising opportunity to develop user-friendly electronic keys to improve Amazonian tree identification. Here, we introduce an original mult...

Culture, attribution and automaticity: a social cognitive neuroscience view.

Science.gov (United States)

Mason, Malia F; Morris, Michael W

2010-06-01

A fundamental challenge facing social perceivers is identifying the cause underlying other people's behavior. Evidence indicates that East Asian perceivers are more likely than Western perceivers to reference the social context when attributing a cause to a target person's actions. One outstanding question is whether this reflects a culture's influence on automatic or on controlled components of causal attribution. After reviewing behavioral evidence that culture can shape automatic mental processes as well as controlled reasoning, we discuss the evidence in favor of cultural differences in automatic and controlled components of causal attribution more specifically. We contend that insights emerging from social cognitive neuroscience research can inform this debate. After introducing an attribution framework popular among social neuroscientists, we consider findings relevant to the automaticity of attribution, before speculating how one could use a social neuroscience approach to clarify whether culture affects automatic, controlled or both types of attribution processes.

Homogeneity of Prototypical Attributes in Soccer Teams

Directory of Open Access Journals (Sweden)

Christian Zepp

2015-09-01

Full Text Available Research indicates that the homogeneous perception of prototypical attributes influences several intragroup processes. The aim of the present study was to describe the homogeneous perception of the prototype and to identify specific prototypical subcategories, which are perceived as homogeneous within sport teams. The sample consists of N = 20 soccer teams with a total of N = 278 athletes (age M = 23.5 years, SD = 5.0 years. The results reveal that subcategories describing the cohesiveness of the team and motivational attributes are mentioned homogeneously within sport teams. In addition, gender, identification, team size, and the championship ranking significantly correlate with the homogeneous perception of prototypical attributes. The results are discussed on the basis of theoretical and practical implications.

Social attribution in anorexia nervosa.

Science.gov (United States)

Oldershaw, Anna; DeJong, Hannah; Hambrook, David; Schmidt, Ulrike

2018-05-01

People with anorexia nervosa (AN) report socioemotional difficulties; however, measurement has been criticised for lacking ecological validity and the state or trait nature of difficulties remains unclear. Participants (n = 122) were recruited across 3 groups: people who are currently ill with AN (n = 40); people who recovered (RecAN, n = 18); healthy-control participants (n = 64). Participants completed clinical questionnaires and the Social Attribution Task. The Social Attribution Task involves describing an animation of moving shapes, scored for number of propositions offered, accuracy, and social relevance. Groups were compared cross-sectionally. Those with current AN were assessed prepsychological and postpsychological treatments. People with AN provided fewer propositions than other groups and fewer salient social attributions than healthy-control participants. Those who recovered scored intermediately and not significantly different from either group. Following treatment, people with AN demonstrated (nonsignificant) improvements, and no significance between group differences were observed. Findings suggest difficulties for people with AN in providing spontaneous social narrative and in identifying social salience. Copyright © 2018 John Wiley & Sons, Ltd and Eating Disorders Association.

A mouse model of alcoholic liver fibrosis-associated acute kidney injury identifies key molecular pathways

Energy Technology Data Exchange (ETDEWEB)

Furuya, Shinji; Chappell, Grace A.; Iwata, Yasuhiro [Department of Veterinary Integrative Biosciences, Texas A& M University, College Station, TX (United States); Uehara, Takeki; Kato, Yuki [Laboratory of Veterinary Pathology, Osaka Prefecture University, Osaka (Japan); Kono, Hiroshi [First Department of Surgery, University of Yamanashi, Yamanashi (Japan); Bataller, Ramon [Division of Gastroenterology & Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC (United States); Rusyn, Ivan, E-mail: irusyn@tamu.edu [Department of Veterinary Integrative Biosciences, Texas A& M University, College Station, TX (United States)

2016-11-01

Clinical data strongly indicate that acute kidney injury (AKI) is a critical complication in alcoholic hepatitis, an acute-on-chronic form of liver failure in patients with advanced alcoholic fibrosis. Development of targeted therapies for AKI in this setting is hampered by the lack of an animal model. To enable research into molecular drivers and novel therapies for fibrosis- and alcohol-associated AKI, we aimed to combine carbon tetrachloride (CCl{sub 4})-induced fibrosis with chronic intra-gastric alcohol feeding. Male C57BL/6J mice were administered a low dose of CCl{sub 4} (0.2 ml/kg 2 × week/6 weeks) followed by alcohol intragastrically (up to 25 g/kg/day for 3 weeks) and with continued CCl{sub 4}. We observed that combined treatment with CCl{sub 4} and alcohol resulted in severe liver injury, more pronounced than using each treatment alone. Importantly, severe kidney injury was evident only in the combined treatment group. This mouse model reproduced distinct pathological features consistent with AKI in human alcoholic hepatitis. Transcriptomic analysis of kidneys revealed profound effects in the combined treatment group, with enrichment for damage-associated pathways, such as apoptosis, inflammation, immune-response and hypoxia. Interestingly, Havcr1 and Lcn2, biomarkers of AKI, were markedly up-regulated. Overall, this study established a novel mouse model of fibrosis- and alcohol-associated AKI and identified key mechanistic pathways. - Highlights: • Acute kidney injury (AKI) is a critical complication in alcoholic hepatitis • We developed a novel mouse model of fibrosis- and alcohol-associated AKI • This model reproduces key molecular and pathological features of human AKI • This animal model can help identify new targeted therapies for alcoholic hepatitis.

What teacher factors influence their attributions for children's difficulties in learning?

Science.gov (United States)

Brady, Katy; Woolfson, Lisa

2008-12-01

Identifying the factors that influence teacher beliefs about teaching children with learning difficulties is important for the success of inclusive education. This study explores the relationship between teachers' role, self-efficacy, attitudes towards disabled people, teaching experience and training, on teachers' attributions for children's difficulties in learning. One hundred and eighteen primary school teachers (44 general mainstream, 33 mainstream learning support, and 41 special education teachers) completed the short form of the Teachers' Sense of Efficacy Scale, the Interaction with Disabled Persons Scale (IDP), and a revised version of the Teacher Attribution Scale. Regression analysis found that teachers' role influenced stability and controllability attributions. However, for stability attributions the effect was not sustained when examined in the context of the other factors of teaching efficacy, experience, training, and attitudes towards disability. What emerged as important instead was strong feelings of sympathy towards disabled people which predicted stable attributions about learning difficulties. Experience of teaching children with additional support needs and teaching efficacy positively predicted external locus of causality attributions. Surprisingly, training was not found to have an impact on attributions. A mixed MANOVA found that mainstream teachers' controllability attributions were influenced by whether or not the child had identified learning support needs. Teacher efficacy, experience of teaching students with support needs, attitudes towards disabled people, and teachers' role all impact on teacher attributions, but no relationship with training was found. Implications for teacher training and development, and for student achievement and student self-perception are discussed.

Simple Web-based interactive key development software (WEBiKEY) and an example key for Kuruna (Poaceae: Bambusoideae).

Science.gov (United States)

Attigala, Lakshmi; De Silva, Nuwan I; Clark, Lynn G

2016-04-01

Programs that are user-friendly and freely available for developing Web-based interactive keys are scarce and most of the well-structured applications are relatively expensive. WEBiKEY was developed to enable researchers to easily develop their own Web-based interactive keys with fewer resources. A Web-based multiaccess identification tool (WEBiKEY) was developed that uses freely available Microsoft ASP.NET technologies and an SQL Server database for Windows-based hosting environments. WEBiKEY was tested for its usability with a sample data set, the temperate woody bamboo genus Kuruna (Poaceae). WEBiKEY is freely available to the public and can be used to develop Web-based interactive keys for any group of species. The interactive key we developed for Kuruna using WEBiKEY enables users to visually inspect characteristics of Kuruna and identify an unknown specimen as one of seven possible species in the genus.

Identifying Key Stakeholders in Blended Tertiary Environments: Experts' Perspectives

Science.gov (United States)

Tuapawa, Kimberley

2017-01-01

Although key stakeholders in blended tertiary environments (BTEs) fulfil an extraordinary role in higher education, significant gaps in knowledge about their identities may be impeding the provision of stakeholder support, limiting their ability to promote effective learning and teaching. As online growth intensifies, it is critical that tertiary…

Attributes of Students Graduating from Schools and Colleges of Optometry.

Science.gov (United States)

Optometric Education, 2000

2000-01-01

This report by the Association of Schools and Colleges of Optometry identifies desired attributes of students graduating from schools and colleges of optometry. Introductory information includes information on the report's development and assumptions. Personal and professional attributes are then listed followed by a list of 10 knowledge-area…

Attributes of Successful Actions to Restore Lakes and ...

Science.gov (United States)

As more success is achieved restoring lakes and estuaries from nutrient pollution, there is increased opportunity to evaluate the scientific, social, and policy factors associated with achieving restoration goals. We examined case studies where deliberate actions to reduce nutrient pollution resulted in ecological recovery. Cases were identified from scientific literature meeting the following: (1) scientific evidence of nutrient pollution; (2) restoration actions taken to mitigate nutrient pollution; and (3) documented ecological improvement. We identified 9 estuaries and 7 lakes spanning countries, climatic regions, physical types, depths, and watershed areas. Among these 8 achieved improvements short of stated restoration goals, 8 were successful initially, but then condition declined and 3 achieved their goals fully. We examined each case to identify both common attributes of nutrient management, grouped into ‘themes’, and the variations on those attributes, which were coded into categorical variables and examined using multiple correspondence analysis (MCA). MCA results suggested that the attributes most associated with achieving restoration goals include: (1) leadership by a dedicated watershed management agency; (2) governance through a bottom-up collaborative process; (3) a strategy that set numeric targets based on a specific ecological goal; and (4) actions to reduce nutrient loads from all sources. While our study did not provide a compreh

Main attributes influencing spent nuclear fuel management

International Nuclear Information System (INIS)

Andreescu, N.; Ohai, D.

1997-01-01

All activities regarding nuclear fuel, following its discharge from the NPP, constitute the spent fuel management and are grouped in two possible back end variants, namely reprocessing (including HLW vitrification and geological disposal) and direct disposal of spent fuel. In order to select the appropriate variant it is necessary to analyse the aggregate fulfillment of the imposed requirements, particularly of the derived attributes, defined as distinguishing characteristics of the factors used in the decision making process. The main identified attributes are the following: - environmental impact, - availability of suitable sites, - non-proliferation degree, -strategy of energy, - technological complexity and technical maturity, -possible further technical improvements, - size of nuclear programme, - total costs, - public acceptance, - peculiarity of CANDU fuel. The significance of the attributes in the Romanian case, taking into consideration the present situation, as a low scenario and a high scenario corresponding to an important development of the nuclear power, after the year 2010, is presented. According to their importance the ranking of attributes is proposed . Subsequently, the ranking could be used for adequate weighing of attributes in order to realize a multi-criteria analysis and a relevant comparison of back end variants. (authors)

Extreme Weather Events and Climate Change Attribution

Energy Technology Data Exchange (ETDEWEB)

Thomas, Katherine [National Academy of Sciences, Washington, DC (United States)

2016-03-31

A report from the National Academies of Sciences, Engineering, and Medicine concludes it is now possible to estimate the influence of climate change on some types of extreme events. The science of extreme event attribution has advanced rapidly in recent years, giving new insight to the ways that human-caused climate change can influence the magnitude or frequency of some extreme weather events. This report examines the current state of science of extreme weather attribution, and identifies ways to move the science forward to improve attribution capabilities. Confidence is strongest in attributing types of extreme events that are influenced by climate change through a well-understood physical mechanism, such as, the more frequent heat waves that are closely connected to human-caused global temperature increases, the report finds. Confidence is lower for other types of events, such as hurricanes, whose relationship to climate change is more complex and less understood at present. For any extreme event, the results of attribution studies hinge on how questions about the event's causes are posed, and on the data, modeling approaches, and statistical tools chosen for the analysis.

A Simple Key for Identifying the Sibling Species of the Malaria Vector Anopheles gambiae (Giles Complex by Polytene Chromosome Cytogenetics

Directory of Open Access Journals (Sweden)

Music Temitope OBEMBE

2018-03-01

Full Text Available It has been established that Anopheles gambiae complex sibling species are the major Plasmodium malaria vectors in Africa; however, not all the sibling species transmit the infection. Easier molecular methods, PCR-based assays, have been developed to distinguish the several members of the A. gambiae complex. However, malaria vector research in less developed countries, particularly sub-Saharan Africa, is being hampered by the lack of PCR facilities in laboratories and the cost of carrying out the assay within lack of funding. Hence, the present study was designed to develop a simple identification key, based on an affordable method of polytene chromosome cytotaxonomy, for identifying the major P. falciparum vectors. The Identification Key was successfully used to identify two members of the A. gambiae complex, A. gambiae sensu stricto and A. arabiensis, which are the most potent malaria vectors in Africa; even so, it could not be used to establish the infective and the refractory strains.

Real-time hostile attribution measurement and aggression in children.

Science.gov (United States)

Yaros, Anna; Lochman, John E; Rosenbaum, Jill; Jimenez-Camargo, Luis Alberto

2014-01-01

Hostile attributions are an important predictor of aggression in children, but few studies have measured hostile attributions as they occur in real-time. The current study uses an interactive video racing game to measure hostile attributions while children played against a presumed peer. A sample of 75 children, ages 10-13, used nonverbal and verbal procedures to respond to ambiguous provocation by their opponent. Hostile attributions were significantly positively related to parent-rated reactive aggression, when controlling for proactive aggression. Hostile attributions using a nonverbal response procedure were negatively related to proactive aggression, when controlling for reactive aggression. Results suggest hostile attributions in real-time occur quickly and simultaneously with social interaction, which differs from the deliberative, controlled appraisals measured with vignette-based instruments. The relation between real-time hostile attributions and reactive aggression could be accounted for by the impulsive response style that is characteristic of reactive aggression, whereas children exhibiting proactive aggression may be more deliberate and intentional in their responding, resulting in a negative relation with real-time hostile attributions. These findings can be used both to identify children at risk for aggression and to enhance preventive interventions. © 2014 Wiley Periodicals, Inc.

Verification of classified fissile material using unclassified attributes

International Nuclear Information System (INIS)

Nicholas, N.J.; Fearey, B.L.; Puckett, J.M.; Tape, J.W.

1998-01-01

This paper reports on the most recent efforts of US technical experts to explore verification by IAEA of unclassified attributes of classified excess fissile material. Two propositions are discussed: (1) that multiple unclassified attributes could be declared by the host nation and then verified (and reverified) by the IAEA in order to provide confidence in that declaration of a classified (or unclassified) inventory while protecting classified or sensitive information; and (2) that attributes could be measured, remeasured, or monitored to provide continuity of knowledge in a nonintrusive and unclassified manner. They believe attributes should relate to characteristics of excess weapons materials and should be verifiable and authenticatable with methods usable by IAEA inspectors. Further, attributes (along with the methods to measure them) must not reveal any classified information. The approach that the authors have taken is as follows: (1) assume certain attributes of classified excess material, (2) identify passive signatures, (3) determine range of applicable measurement physics, (4) develop a set of criteria to assess and select measurement technologies, (5) select existing instrumentation for proof-of-principle measurements and demonstration, and (6) develop and design information barriers to protect classified information. While the attribute verification concepts and measurements discussed in this paper appear promising, neither the attribute verification approach nor the measurement technologies have been fully developed, tested, and evaluated

Interpersonal reactivity and the attribution of emotional reactions.

Science.gov (United States)

Haas, Brian W; Anderson, Ian W; Filkowski, Megan M

2015-06-01

The ability to identify the cause of another person's emotional reaction is an important component associated with improved success of social relationships and survival. Although many studies have investigated the mechanisms involved in emotion recognition, very little is currently known regarding the processes involved during emotion attribution decisions. Research on complementary "emotion understanding" mechanisms, including empathy and theory of mind, has demonstrated that emotion understanding decisions are often made through relatively emotion- or cognitive-based processing streams. The current study was designed to investigate the behavioral and brain mechanisms involved in emotion attribution decisions. We predicted that dual processes, emotional and cognitive, are engaged during emotion attribution decisions. Sixteen healthy adults completed the Interpersonal Reactivity Index to characterize individual differences in tendency to make emotion- versus cognitive-based interpersonal decisions. Participants then underwent functional MRI while making emotion attribution decisions. We found neuroimaging evidence that emotion attribution decisions engage a similar brain network as other forms of emotion understanding. Further, we found evidence in support of a dual processes model involved during emotion attribution decisions. Higher scores of personal distress were associated with quicker emotion attribution decisions and increased anterior insula activity. Conversely, higher scores in perspective taking were associated with delayed emotion attribution decisions and increased prefrontal cortex and premotor activity. These findings indicate that the making of emotion attribution decisions relies on dissociable emotional and cognitive processing streams within the brain. (c) 2015 APA, all rights reserved).

Graduate Attribute Attainment in a Multi-Level Undergraduate Geography Course

Science.gov (United States)

Mager, Sarah; Spronken-Smith, Rachel

2014-01-01

We investigated students' perceptions of graduate attributes in a multi-level (second and third year) geography course. A case study with mixed methodology was employed, with data collected through focus groups and a survey. We found that undergraduate geography students can identify the skills, knowledge and attributes that are developed through…

Identifying key research objectives to make European forests greener for bats

Directory of Open Access Journals (Sweden)

Danilo Russo

2016-07-01

Full Text Available Bats are a biodiverse mammal order providing key ecosystem services such as pest suppression, pollination and seed dispersal. Bats are also very sensitive to human actions, and significant declines in many bat populations have been recorded consequently. Many bat species find crucial roosting and foraging opportunities in European forests. Such forests have historically been exploited by humans and are still influenced by harvesting. One of the consequences of this pressure is the loss of key habitat resources, often making forests inhospitable to bats. Despite the legal protection granted to bats across Europe, the impacts of forestry on bats are still often neglected. Because forest exploitation influences forest structure at several spatial scales, economically viable forestry could become more sustainable and even favour bats. We highlight that a positive future for bat conservation that simultaneously benefits forestry is foreseeable, although more applied research is needed to develop sound management. Key future research topics include the detection of factors influencing the carrying capacity of forests, and determining the impacts of forest management and the economic importance of bats in forests. Predictive tools to inform forest managers are much needed, together with greater synergies between forest managers and bat conservationists.

Academic procrastination: the relationship between causal attribution styles and behavioral postponement.

Science.gov (United States)

Badri Gargari, Rahim; Sabouri, Hossein; Norzad, Fatemeh

2011-01-01

This research was conducted to study the relationship between attribution and academic procrastination in University Students. The subjects were 203 undergraduate students, 55 males and 148 females, selected from English and French language and literature students of Tabriz University. Data were gathered through Procrastination Assessment Scale-student (PASS) and Causal Dimension Scale (CDA) and were analyzed by multiple regression analysis (stepwise). The results showed that there was a meaningful and negative relation between the locus of control and controllability in success context and academic procrastination. Besides, a meaningful and positive relation was observed between the locus of control and stability in failure context and procrastination. It was also found that 17% of the variance of procrastination was accounted by linear combination of attributions. We believe that causal attribution is a key in understanding procrastination in academic settings and is used by those who have the knowledge of Causal Attribution styles to organize their learning.

Key Clinical Features to Identify Girls with "CDKL5" Mutations

Science.gov (United States)

Bahi-Buisson, Nadia; Nectoux, Juliette; Rosas-Vargas, Haydee; Milh, Mathieu; Boddaert, Nathalie; Girard, Benoit; Cances, Claude; Ville, Dorothee; Afenjar, Alexandra; Rio, Marlene; Heron, Delphine; Morel, Marie Ange N'Guyen; Arzimanoglou, Alexis; Philippe, Christophe; Jonveaux, Philippe; Chelly, Jamel; Bienvenu, Thierry

2008-01-01

Mutations in the human X-linked cyclin-dependent kinase-like 5 ("CDKL5") gene have been shown to cause infantile spasms as well as Rett syndrome (RTT)-like phenotype. To date, less than 25 different mutations have been reported. So far, there are still little data on the key clinical diagnosis criteria and on the natural history of…

Creating Compact Comparative Health Care Information: What Are the Key Quality Attributes to Present for Cataract and Total Hip or Knee Replacement Surgery?

NARCIS (Netherlands)

Damman, O.C.; Spreeuwenberg, P.; Rademakers, J.; Hendriks, M.

2012-01-01

Background. The recent emphasis on providing comparative health care data to the public has resulted in a large amount of online information. To focus on the most essential attributes, insight is needed into which attributes are actually considered by consumers. Objective. To assess which attributes

Creating compact comparative health care information: what are the key quality attributes to present for cataract and total hip or knee replacement surgery?

NARCIS (Netherlands)

Damman, O.C.; Spreeuwenberg, P.; Rademakers, J.; Hendriks, M.

2012-01-01

Background. The recent emphasis on providing comparative health care data to the public has resulted in a large amount of online information. To focus on the most essential attributes, insight is needed into which attributes are actually considered by consumers. Objective. To assess which attributes

On-site Labour Productivity of New Zealand Construction Industry: Key Constraints and Improvement Measures

Directory of Open Access Journals (Sweden)

Serdar Durdyev

2011-09-01

Full Text Available Productivity is key to the survival and growth of any organisation, industry or nation. Some factors constrain the achievement of the set project objectives in the New Zealand building and construction industry and are responsible for the reported steady decline of productivity and performance. This study aims to identify the key constraints to on-site labour productivity and improvement measures. Using the descriptive survey method, views of some project managers, contractors and subcontractors in New Zealand were canvassed via pilot interviews and questionnaire surveys at the qualitative and quantity data gathering stages, respectively. Multi-attribute technique was used to analyse the quantitative data. Results showed that the key external constraints to on-site labour productivity comprise, in order of decreasing impact, statutory compliance, unforeseen events and wider external dynamics. The internal constraints, which contribute 67 percent of the onsite productivity issues, comprise reworks, level of skill and experience of the workforce, adequacy of method of construction, buildability issues, and inadequate supervision and coordination. . The factors underlying each broad category of external and internal constraints are reported. The relative levels of impact of the identified constraints are expected to guide the project team in addressing the constraints in a cost-effective manner.

Identification of the Key Fields and Their Key Technical Points of Oncology by Patent Analysis.

Science.gov (United States)

Zhang, Ting; Chen, Juan; Jia, Xiaofeng

2015-01-01

This paper aims to identify the key fields and their key technical points of oncology by patent analysis. Patents of oncology applied from 2006 to 2012 were searched in the Thomson Innovation database. The key fields and their key technical points were determined by analyzing the Derwent Classification (DC) and the International Patent Classification (IPC), respectively. Patent applications in the top ten DC occupied 80% of all the patent applications of oncology, which were the ten fields of oncology to be analyzed. The number of patent applications in these ten fields of oncology was standardized based on patent applications of oncology from 2006 to 2012. For each field, standardization was conducted separately for each of the seven years (2006-2012) and the mean of the seven standardized values was calculated to reflect the relative amount of patent applications in that field; meanwhile, regression analysis using time (year) and the standardized values of patent applications in seven years (2006-2012) was conducted so as to evaluate the trend of patent applications in each field. Two-dimensional quadrant analysis, together with the professional knowledge of oncology, was taken into consideration in determining the key fields of oncology. The fields located in the quadrant with high relative amount or increasing trend of patent applications are identified as key ones. By using the same method, the key technical points in each key field were identified. Altogether 116,820 patents of oncology applied from 2006 to 2012 were retrieved, and four key fields with twenty-nine key technical points were identified, including "natural products and polymers" with nine key technical points, "fermentation industry" with twelve ones, "electrical medical equipment" with four ones, and "diagnosis, surgery" with four ones. The results of this study could provide guidance on the development direction of oncology, and also help researchers broaden innovative ideas and discover new

Consumer preferences for pork supply chain attributes

NARCIS (Netherlands)

Meuwissen, M.P.M.; Lans, van der I.A.; Huirne, R.B.M.

2007-01-01

Based on an extensive customized conjoint analysis with 24 attributes of pork production, covering issues from feed to fork, we identified six consumer segments: ecologists (17%), tradition-minded consumers (17%), animal friends (16%), health-concerned consumers (18%), economists (12%) and

MULTI-ATTRIBUTE SEISMIC/ROCK PHYSICS APPROACH TO CHARACTERIZING FRACTURED RESERVOIRS

Energy Technology Data Exchange (ETDEWEB)

Gary Mavko

2000-10-01

This project consists of three key interrelated Phases, each focusing on the central issue of imaging and quantifying fractured reservoirs, through improved integration of the principles of rock physics, geology, and seismic wave propagation. This report summarizes the results of Phase I of the project. The key to successful development of low permeability reservoirs lies in reliably characterizing fractures. Fractures play a crucial role in controlling almost all of the fluid transport in tight reservoirs. Current seismic methods to characterize fractures depend on various anisotropic wave propagation signatures that can arise from aligned fractures. We are pursuing an integrated study that relates to high-resolution seismic images of natural fractures to the rock parameters that control the storage and mobility of fluids. Our goal is to go beyond the current state-of-the art to develop and demonstrate next generation methodologies for detecting and quantitatively characterizing fracture zones using seismic measurements. Our study incorporates 3 key elements: (1) Theoretical rock physics studies of the anisotropic viscoelastic signatures of fractured rocks, including up scaling analysis and rock-fluid interactions to define the factors relating fractures in the lab and in the field. (2) Modeling of optimal seismic attributes, including offset and azimuth dependence of travel time, amplitude, impedance and spectral signatures of anisotropic fractured rocks. We will quantify the information content of combinations of seismic attributes, and the impact of multi-attribute analyses in reducing uncertainty in fracture interpretations. (3) Integration and interpretation of seismic, well log, and laboratory data, incorporating field geologic fracture characterization and the theoretical results of items 1 and 2 above. The focal point for this project is the demonstration of these methodologies in the Marathon Oil Company Yates Field in West Texas.

Key Elements of Clinical Physician Leadership at an Academic Medical Center

Science.gov (United States)

Dine, C. Jessica; Kahn, Jeremy M; Abella, Benjamin S; Asch, David A; Shea, Judy A

2011-01-01

Background A considerable body of literature in the management sciences has defined leadership and how leadership skills can be attained. There is considerably less literature about leadership within medical settings. Physicians-in-training are frequently placed in leadership positions ranging from running a clinical team or overseeing a resuscitation effort. However, physicians-in-training rarely receive such training. The objective of this study was to discover characteristics associated with effective physician leadership at an academic medical center for future development of such training. Methods We conducted focus groups with medical professionals (attending physicians, residents, and nurses) at an academic medical center. The focus group discussion script was designed to elicit participants' perceptions of qualities necessary for physician leadership. The lead question asked participants to imagine a scenario in which they either acted as or observed a physician leader. Two independent reviewers reviewed transcripts to identify key domains of physician leadership. Results Although the context was not specified, the focus group participants discussed leadership in the context of a clinical team. They identified 4 important themes: management of the team, establishing a vision, communication, and personal attributes. Conclusions Physician leadership exists in clinical settings. This study highlights the elements essential to that leadership. Understanding the physician attributes and behaviors that result in effective leadership and teamwork can lay the groundwork for more formal leadership education for physicians-in-training. PMID:22379520

Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

Directory of Open Access Journals (Sweden)

Dongnyok Shim

2018-06-01

Full Text Available The market share of electric vehicles is growing and the interest in these vehicles is rapidly increasing in industrialized countries. In the light of these circumstances, this study provides an integrated policy-making package, which includes key features for electric vehicle diffusion and its impact on the Korean power market. This research is based on a quantitative analysis with the following steps: (1 it analyzes drivers’ preferences for electric or traditional internal combustion engine (ICE vehicles with respect to key automobile attributes and these key attributes indicate what policy makers should focus on; (2 it forecasts the achievable level of market share of electric vehicles in relation to improvements in their key attributes; and (3 it evaluates the impact of electric vehicle diffusion on the Korean power market based on an achievable level of market share with different charging demand profiles. Our results reveal the market share of electric vehicles can increase to around 40% of the total market share if the key features of electric vehicles reach a similar level to those of traditional vehicles. In this estimation, an increase in the power market’s system generation costs will reach around 10% of the cost in the baseline scenario, which differs slightly depending on charging demand profiles.

Shoulder injuries attributed to resistance training: a brief review.

Science.gov (United States)

Kolber, Morey J; Beekhuizen, Kristina S; Cheng, Ming-Shun S; Hellman, Madeleine A

2010-06-01

The popularity of resistance training (RT) is evident by the more than 45 million Americans who engage in strength training regularly. Although the health and fitness benefits ascribed to RT are generally agreed upon, participation is not without risk. Acute and chronic injuries attributed to RT have been cited in the epidemiological literature among both competitive and recreational participants. The shoulder complex in particular has been alluded to as one of the most prevalent regions of injury. The purpose of this manuscript is to present an overview of documented shoulder injuries among the RT population and where possible discern mechanisms of injury and risk factors. A literature search was conducted in the PUBMED, CINAHL, SPORTDiscus, and OVID databases to identify relevant articles for inclusion using combinations of key words: resistance training, shoulder, bodybuilding, weightlifting, shoulder injury, and shoulder disorder. The results of the review indicated that up to 36% of documented RT-related injuries and disorders occur at the shoulder complex. Trends that increased the likelihood of injury were identified and inclusive of intrinsic risk factors such as joint and muscle imbalances and extrinsic risk factors, namely, that of improper attention to exercise technique. A majority of the available research was retrospective in nature, consisting of surveys and descriptive epidemiological reports. A paucity of research was available to identify predictive variables leading to injury, suggesting the need for future prospective-based investigations.

Relationship between alcohol-attributable disease and socioeconomic status, and the role of alcohol consumption in this relationship: a systematic review and meta-analysis.

Science.gov (United States)

Jones, Lisa; Bates, Geoff; McCoy, Ellie; Bellis, Mark A

2015-04-18

Studies show that alcohol consumption appears to have a disproportionate impact on people of low socioeconomic status. Further exploration of the relationship between alcohol consumption, socioeconomic status and the development of chronic alcohol-attributable diseases is therefore important to inform the development of effective public health programmes. We used systematic review methodology to identify published studies of the association between socioeconomic factors and mortality and morbidity for alcohol-attributable conditions. To attempt to quantify differences in the impact of alcohol consumption for each condition, stratified by SES, we (i) investigated the relationship between SES and risk of mortality or morbidity for each alcohol-attributable condition, and (ii) where, feasible explored alcohol consumption as a mediating or interacting variable in this relationship. We identified differing relationships between a range of alcohol-attributable conditions and socioeconomic indicators. Pooled analyses showed that low, relative to high socioeconomic status, was associated with an increased risk of head and neck cancer and stroke, and in individual studies, with hypertension and liver disease. Conversely, risk of female breast cancer tended to be associated with higher socioeconomic status. These findings were attenuated but held when adjusted for a number of known risk factors and other potential confounding factors. A key finding was the lack of studies that have explored the interaction between alcohol-attributable disease, socioeconomic status and alcohol use. Despite some limitations to our review, we have described relationships between socioeconomic status and a range of alcohol-attributable conditions, and explored the mediating and interacting effects of alcohol consumption where feasible. However, further research is needed to better characterise the relationship between socioeconomic status alcohol consumption and alcohol-attributable disease risk

Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach

Directory of Open Access Journals (Sweden)

Jorge L. García-Alcaraz

2016-02-01

Full Text Available Usually, agricultural tractor investments are assessed using traditional economic techniques that only involve financial attributes, resulting in reductionist evaluations. However, tractors have qualitative and quantitative attributes that must be simultaneously integrated into the evaluation process. This article reports a hybrid and multi-attribute approach to assessing a set of agricultural tractors based on AHP-TOPSIS. To identify the attributes in the model, a survey including eighteen attributes was given to agricultural machinery salesmen and farmers for determining their importance. The list of attributes was presented to a decision group for a case of study, and their importance was estimated using AHP and integrated into the TOPSIS technique. In this case, one tractor was selected from a set of six alternatives, integrating six attributes in the model: initial cost, annual maintenance cost, liters of diesel per hour, safety of the operator, maintainability and after-sale customer service offered by the supplier. Based on the results obtained, the model can be considered easy to apply and to have good acceptance among farmers and salesmen, as there are no special software requirements for the application.

Quantum key management

Energy Technology Data Exchange (ETDEWEB)

Hughes, Richard John; Thrasher, James Thomas; Nordholt, Jane Elizabeth

2016-11-29

Innovations for quantum key management harness quantum communications to form a cryptography system within a public key infrastructure framework. In example implementations, the quantum key management innovations combine quantum key distribution and a quantum identification protocol with a Merkle signature scheme (using Winternitz one-time digital signatures or other one-time digital signatures, and Merkle hash trees) to constitute a cryptography system. More generally, the quantum key management innovations combine quantum key distribution and a quantum identification protocol with a hash-based signature scheme. This provides a secure way to identify, authenticate, verify, and exchange secret cryptographic keys. Features of the quantum key management innovations further include secure enrollment of users with a registration authority, as well as credential checking and revocation with a certificate authority, where the registration authority and/or certificate authority can be part of the same system as a trusted authority for quantum key distribution.

Enhancing Critical Infrastructure and Key Resources (CIKR) Level-0 Physical Process Security Using Field Device Distinct Native Attribute Features

Energy Technology Data Exchange (ETDEWEB)

Lopez, Juan [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Liefer, Nathan C. [Wright-Patterson AFB, Dayton, OH (United States); Busho, Colin R. [Wright-Patterson AFB, Dayton, OH (United States); Temple, Michael A. [Wright-Patterson AFB, Dayton, OH (United States)

2017-12-04

Here, the need for improved Critical Infrastructure and Key Resource (CIKR) security is unquestioned and there has been minimal emphasis on Level-0 (PHY Process) improvements. Wired Signal Distinct Native Attribute (WS-DNA) Fingerprinting is investigated here as a non-intrusive PHY-based security augmentation to support an envisioned layered security strategy. Results are based on experimental response collections from Highway Addressable Remote Transducer (HART) Differential Pressure Transmitter (DPT) devices from three manufacturers (Yokogawa, Honeywell, Endress+Hauer) installed in an automated process control system. Device discrimination is assessed using Time Domain (TD) and Slope-Based FSK (SB-FSK) fingerprints input to Multiple Discriminant Analysis, Maximum Likelihood (MDA/ML) and Random Forest (RndF) classifiers. For 12 different classes (two devices per manufacturer at two distinct set points), both classifiers performed reliably and achieved an arbitrary performance benchmark of average cross-class percent correct of %C > 90%. The least challenging cross-manufacturer results included near-perfect %C ≈ 100%, while the more challenging like-model (serial number) discrimination results included 90%< %C < 100%, with TD Fingerprinting marginally outperforming SB-FSK Fingerprinting; SB-FSK benefits from having less stringent response alignment and registration requirements. The RndF classifier was most beneficial and enabled reliable selection of dimensionally reduced fingerprint subsets that minimize data storage and computational requirements. The RndF selected feature sets contained 15% of the full-dimensional feature sets and only suffered a worst case %CΔ = 3% to 4% performance degradation.

Attributes of clinical leadership in contemporary nursing: an integrative review.

Science.gov (United States)

Mannix, Judy; Wilkes, Lesley; Daly, John

2013-08-01

Effective clinical leadership is offered as the key to healthy, functional and supportive work environments for nurses and other health professionals. However, as a concept it lacks a standard definition and is poorly understood. This paper reports on an integrative review undertaken to uncover current understandings of defining attributes of contemporary clinical leadership in nursing. Data collection involved a search of relevant electronic databases for a 10-year period. Keywords for the search were 'clinical leadership' and 'nursing'. Ten research papers met the inclusion criteria for the integrative review. Analysis of these studies indicated clinical leadership attributes had a clinical focus, a follower/team focus or a personal qualities focus; attributes necessary to sustain supportive workplaces and build the capacity and resilience of nursing workforces. The small number of research-based studies yielded for the review indicates the need for further research in the area of clinical leadership.

[Key effect genes responding to nerve injury identified by gene ontology and computer pattern recognition].

Science.gov (United States)

Pan, Qian; Peng, Jin; Zhou, Xue; Yang, Hao; Zhang, Wei

2012-07-01

In order to screen out important genes from large gene data of gene microarray after nerve injury, we combine gene ontology (GO) method and computer pattern recognition technology to find key genes responding to nerve injury, and then verify one of these screened-out genes. Data mining and gene ontology analysis of gene chip data GSE26350 was carried out through MATLAB software. Cd44 was selected from screened-out key gene molecular spectrum by comparing genes' different GO terms and positions on score map of principal component. Function interferences were employed to influence the normal binding of Cd44 and one of its ligands, chondroitin sulfate C (CSC), to observe neurite extension. Gene ontology analysis showed that the first genes on score map (marked by red *) mainly distributed in molecular transducer activity, receptor activity, protein binding et al molecular function GO terms. Cd44 is one of six effector protein genes, and attracted us with its function diversity. After adding different reagents into the medium to interfere the normal binding of CSC and Cd44, varying-degree remissions of CSC's inhibition on neurite extension were observed. CSC can inhibit neurite extension through binding Cd44 on the neuron membrane. This verifies that important genes in given physiological processes can be identified by gene ontology analysis of gene chip data.

Identification of key aromatic compounds in Congou black tea by PLSR with variable importance of projection scores and gas chromatography-mass spectrometry/gas chromatography-olfactometry.

Science.gov (United States)

Mao, Shihong; Lu, Changqi; Li, Meifeng; Ye, Yulong; Wei, Xu; Tong, Huarong

2018-04-13

Gas chromatography-olfactometry (GC-O) is the most frequently used method to estimate the sensory contribution of single odorant, but disregards the interactions between volatiles. In order to select the key volatiles responsible for the aroma attributes of Congou black tea (Camellia sinensis), instrumental, sensory and multivariate statistical approaches were applied. By sensory analysis, nine panelists developed 8 descriptors, namely, floral, sweet, fruity, green, roasted, oil, spicy, and off-odor. Linalool, (E)-furan linalool oxide, (Z)-pyran linalool oxide, methyl salicylate, β-myrcene, phenylethyl alcohol which identified from the most representative samples by GC-O procedure, were the essential aroma-active compounds in the formation of basic Congou black tea aroma. In addition, 136 volatiles were identified by gas chromatography-mass spectrometry (GC-MS), among which 55 compounds were determined as the key factors for the six sensory attributes by partial least-square regression (PLSR) with variable importance of projection (VIP) scores. Our results demonstrated that HS-SPME/GC-MS/GC-O was a fast approach for isolation and quantification aroma-active compounds. PLSR method was also considered to be a useful tool in selecting important variables for sensory attributes. These two strategies allowed us to comprehensively evaluate the sensorial contribution of single volatile from different perspectives, can be applied to related products for comprehensive quality control. This article is protected by copyright. All rights reserved.

Breaking chaotic shift key communication via adaptive key identification

International Nuclear Information System (INIS)

Ren Haipeng; Han Chongzhao; Liu Ding

2008-01-01

This paper proposes an adaptive parameter identification method for breaking chaotic shift key communication from the transmitted signal in public channel. The sensitive dependence property of chaos on parameter mismatch is used for chaos adaptive synchronization and parameter identification. An index function about the synchronization error is defined and conjugate gradient method is used to minimize the index function and to search the transmitter's parameter (key). By using proposed method, secure key is recovered from transmitted signal generated by low dimensional chaos and hyper chaos switching communication. Multi-parameters can also be identified from the transmitted signal with noise

Lexical Studies of Filipino Person Descriptors: Adding Personality-Relevant Social and Physical Attributes.

Science.gov (United States)

Imperio, Shellah Myra; Church, A Timothy; Katigbak, Marcia S; Reyes, Jose Alberto S

2008-06-01

Lexical studies have focused on traits. In the Filipino language, we investigated whether additional dimensions can be identified when personality-relevant terms for social roles, statuses, and effects, plus physical attributes, are included. Filipino students (N = 496) rated themselves on 268 such terms, plus 253 markers of trait and evaluative dimensions. We identified 10 dimensions of social and physical attributes-Prominence, Uselessness, Attractiveness, Respectability, Uniqueness, Destructiveness, Presentableness, Strength, Dangerousness, and Charisma. Most of these dimensions did not correspond in a one-to-one manner to Filipino or alternative trait models (Big Five, HEXACO, ML7). However, considerable redundancy was observed between the social and physical attribute dimensions and trait and evaluative dimensions. Thus, social and physical attributes communicate information about personality traits, and vice-versa.

How leadership attributes influence employee loyalty in the aerospace industry: An exploratory qualitative inquiry

Science.gov (United States)

Harrison, Marriel

The influence leaders have on employee loyalty in the aerospace industry was examined through exploratory, qualitative inquiry. In-depth, semi-structured interviews were conducted to ascertain the influence of six leadership attributes on loyalty. These specific leadership attributes were addressed based on key themes from the scholarly leadership research and included communication, trust, accountability, understanding, compassion, and recognition. Data were analyzed to identify common themes and patterns among the 21 study participants. Based on the study findings, the majority of participants expressed that they want leaders to communicate--and to do so often and concisely. Participants also voiced that communication was a central component in resolving many of the problems associated with loyalty, such as clarity of direction or sense of inclusion in the organization. The central themes derived from the research include the following: (a) employee loyalty no longer exists when organizational leadership fails to challenge or empower employees or create an opportunity for growth, (b) effective leaders inspire employees by sharing the vision of an organization and including employees in the decision-making process, and (c) organizational culture, values, and effective leadership play an integral role in employee loyalty and long-term commitment to the organization.

Improving the Accuracy of Attribute Extraction using the Relatedness between Attribute Values

Science.gov (United States)

Bollegala, Danushka; Tani, Naoki; Ishizuka, Mitsuru

Extracting attribute-values related to entities from web texts is an important step in numerous web related tasks such as information retrieval, information extraction, and entity disambiguation (namesake disambiguation). For example, for a search query that contains a personal name, we can not only return documents that contain that personal name, but if we have attribute-values such as the organization for which that person works, we can also suggest documents that contain information related to that organization, thereby improving the user's search experience. Despite numerous potential applications of attribute extraction, it remains a challenging task due to the inherent noise in web data -- often a single web page contains multiple entities and attributes. We propose a graph-based approach to select the correct attribute-values from a set of candidate attribute-values extracted for a particular entity. First, we build an undirected weighted graph in which, attribute-values are represented by nodes, and the edge that connects two nodes in the graph represents the degree of relatedness between the corresponding attribute-values. Next, we find the maximum spanning tree of this graph that connects exactly one attribute-value for each attribute-type. The proposed method outperforms previously proposed attribute extraction methods on a dataset that contains 5000 web pages.

Partitioned key-value store with atomic memory operations

Energy Technology Data Exchange (ETDEWEB)

Bent, John M.; Faibish, Sorin; Grider, Gary

2017-02-07

A partitioned key-value store is provided that supports atomic memory operations. A server performs a memory operation in a partitioned key-value store by receiving a request from an application for at least one atomic memory operation, the atomic memory operation comprising a memory address identifier; and, in response to the atomic memory operation, performing one or more of (i) reading a client-side memory location identified by the memory address identifier and storing one or more key-value pairs from the client-side memory location in a local key-value store of the server; and (ii) obtaining one or more key-value pairs from the local key-value store of the server and writing the obtained one or more key-value pairs into the client-side memory location identified by the memory address identifier. The server can perform functions obtained from a client-side memory location and return a result to the client using one or more of the atomic memory operations.

Attribute-based classification for zero-shot visual object categorization.

Science.gov (United States)

Lampert, Christoph H; Nickisch, Hannes; Harmeling, Stefan

2014-03-01

We study the problem of object recognition for categories for which we have no training examples, a task also called zero--data or zero-shot learning. This situation has hardly been studied in computer vision research, even though it occurs frequently; the world contains tens of thousands of different object classes, and image collections have been formed and suitably annotated for only a few of them. To tackle the problem, we introduce attribute-based classification: Objects are identified based on a high-level description that is phrased in terms of semantic attributes, such as the object's color or shape. Because the identification of each such property transcends the specific learning task at hand, the attribute classifiers can be prelearned independently, for example, from existing image data sets unrelated to the current task. Afterward, new classes can be detected based on their attribute representation, without the need for a new training phase. In this paper, we also introduce a new data set, Animals with Attributes, of over 30,000 images of 50 animal classes, annotated with 85 semantic attributes. Extensive experiments on this and two more data sets show that attribute-based classification indeed is able to categorize images without access to any training images of the target classes.

Attribution methodologies for mobility impacts

OpenAIRE

KOTELNIKOVA WEILER, Natalia; LEURENT, Fabien; POULHES, Alexis

2016-01-01

Motorized transportation modes all consume energy and emit local pollutants ? chemical and noise. Congestion can also be considered as a local pollution caused by some emitters onto some receivers. Various methods have been designed to evaluate impacts and relate them to emitters and/or receivers. Called ?attribution? in environmental evaluation or ?imputation? in economic analysis, these schemes? purpose is to identify the causes of impacts and to design management or compensation schemes to...

A Project Manager's Personal Attributes as Predictors for Success

National Research Council Canada - National Science Library

Valencia, Vhance V

2007-01-01

...) possess that lead them to project management success. Numerous attributes are identified in the literature through a variety of methods, but very few studies relate specific qualities to success...

Key identifiers and spelling conventions in MXit-lingo as found in conversations with Dr Math

Directory of Open Access Journals (Sweden)

Laurie Butgereit

2012-07-01

Full Text Available Different human languages look different from other human languages. To use a term from the computer industry, each human language has its own “look and feel”. European English speakers can easily recognise a phrase such as “Comment allez-vous?” as being written in French while the phrase “¿Habla usted español?” is written in Spanish. Each language has its own letter frequencies, word frequencies and other identifiers. This paper describes key identifiers in MXit lingo as found in Dr Math conversations. MXit is a mobile instant messaging system which originated in South Africa and is expanding to other countries. Dr Math is a mobile tutoring system which uses MXit as a communication protocol. Primary and secondary school pupils can receive help with the mathematics homework using the Dr Math tutoring system. The pupils use MXit on their cell phones and the tutors use traditional Internet workstations. After exploring how MXit lingo is written, this paper will briefly explore why MXit lingo is written the way it is. By identifying and describing the orthographic conventions visible in the spelling of MXit lingo, although with some theoretical support, insight into the purposeful and functional nature of written, mobile communication will be revealed. In highlighting spelling that is influenced by Black South African English, an attempt will be made to contribute to the empirical development of a field of study that explores the construction of words used in South African mobile communication. Keywords: MXit, Math, letters, writing, orthography Disciplines: Linguistics, mathematics, information technology

Identifying the ideal profile of French yogurts for different clusters of consumers.

Science.gov (United States)

Masson, M; Saint-Eve, A; Delarue, J; Blumenthal, D

2016-05-01

Identifying the sensory properties that affect consumer preferences for food products is an important feature of product development. Different methods, such as external preference mapping or partial least squares regression, are used to establish relationships between sensory data and consumer preferences and to identify sensory attributes that drive consumer preferences, by highlighting optimum products. Plain French yogurts were evaluated by a sensory profiling method performed by 12 trained judges. In parallel, 180 consumers were asked to score their overall liking and complete a cognitive restraint questionnaire. After hierarchical cluster analysis on the liking scores, preference mapping using a quadratic regression model was performed. Five clusters of consumers were identified as a function of different preference patterns. Contrary to our expectations, fat levels were not discriminating. For each cluster, the results of preference mapping enabled the identification of optimum products. A comparison of the 5 sensory profiles revealed numerous differences between key sensory attributes. For example, one consumer cluster had a strong preference for products perceived as very thick, grainy, but with a less flowing texture, less sticky, whey presence and color, in contrast to other clusters. In addition, each segment of consumers was characterized according to the results of the cognitive restraint questionnaire. Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Searchable attribute-based encryption scheme with attribute revocation in cloud storage.

Science.gov (United States)

Wang, Shangping; Zhao, Duqiao; Zhang, Yaling

2017-01-01

Attribute based encryption (ABE) is a good way to achieve flexible and secure access control to data, and attribute revocation is the extension of the attribute-based encryption, and the keyword search is an indispensable part for cloud storage. The combination of both has an important application in the cloud storage. In this paper, we construct a searchable attribute-based encryption scheme with attribute revocation in cloud storage, the keyword search in our scheme is attribute based with access control, when the search succeeds, the cloud server returns the corresponding cipher text to user and the user can decrypt the cipher text definitely. Besides, our scheme supports multiple keywords search, which makes the scheme more practical. Under the assumption of decisional bilinear Diffie-Hellman exponent (q-BDHE) and decisional Diffie-Hellman (DDH) in the selective security model, we prove that our scheme is secure.

Occupational safety management: the role of causal attribution.

Science.gov (United States)

Gyekye, Seth Ayim

2010-12-01

The paper addresses the causal attribution theory, an old and well-established theme in social psychology which denotes the everyday, commonsense explanations that people use to explain events and the world around them. The attribution paradigm is considered one of the most appropriate analytical tools for exploratory and descriptive studies in social psychology and organizational literature. It affords the possibility of describing accident processes as objectively as possible and with as much detail as possible. Causal explanations are vital to the formal analysis of workplace hazards and accidents, as they determine how organizations act to prevent accident recurrence. Accordingly, they are regarded as fundamental and prerequisite elements for safety management policies. The paper focuses primarily on the role of causal attributions in occupational and industrial accident analyses and implementation of safety interventions. It thus serves as a review of the contribution of attribution theory to occupational and industrial accidents. It comprises six sections. The first section presents an introduction to the classic attribution theories, and the second an account of the various ways in which the attribution paradigm has been applied in organizational settings. The third and fourth sections review the literature on causal attributions and demographic and organizational variables respectively. The sources of attributional biases in social psychology and how they manifest and are identified in the causal explanations for industrial and occupational accidents are treated in the fifth section. Finally, conclusion and recommendations are presented. The recommendations are particularly important for the reduction of workplace accidents and associated costs. The paper touches on the need for unbiased causal analyses, belief in the preventability of accidents, and the imperative role of management in occupational safety management.

Novel application of a discrete choice experiment to identify preferences for a national healthcare-associated infection surveillance programme: a cross-sectional study

Science.gov (United States)

Chen, Gang; Cheng, Allen C; Richards, Michael; Graves, Nicholas; Ratcliffe, Julie; Hall, Lisa

2016-01-01

Objective To identify key stakeholder preferences and priorities when considering a national healthcare-associated infection (HAI) surveillance programme through the use of a discrete choice experiment (DCE). Setting Australia does not have a national HAI surveillance programme. An online web-based DCE was developed and made available to participants in Australia. Participants A sample of 184 purposively selected healthcare workers based on their senior leadership role in infection prevention in Australia. Primary and secondary outcomes A DCE requiring respondents to select 1 HAI surveillance programme over another based on 5 different characteristics (or attributes) in repeated hypothetical scenarios. Data were analysed using a mixed logit model to evaluate preferences and identify the relative importance of each attribute. Results A total of 122 participants completed the survey (response rate 66%) over a 5-week period. Excluding 22 who mismatched a duplicate choice scenario, analysis was conducted on 100 responses. The key findings included: 72% of stakeholders exhibited a preference for a surveillance programme with continuous mandatory core components (mean coefficient 0.640 (preported on a website and not associated with financial penalties (mean coefficient 1.663 (p<0.01)). Conclusions The use of the DCE has provided a unique insight to key stakeholder priorities when considering a national HAI surveillance programme. The application of a DCE offers a meaningful method to explore and quantify preferences in this setting. PMID:27147392

Attributional processes in the learned helplessness paradigm: behavioral effects of global attributions.

Science.gov (United States)

Mikulincer, M

1986-12-01

Following the learned helplessness paradigm, I assessed in this study the effects of global and specific attributions for failure on the generalization of performance deficits in a dissimilar situation. Helplessness training consisted of experience with noncontingent failures on four cognitive discrimination problems attributed to either global or specific causes. Experiment 1 found that performance in a dissimilar situation was impaired following exposure to globally attributed failure. Experiment 2 examined the behavioral effects of the interaction between stable and global attributions of failure. Exposure to unsolvable problems resulted in reduced performance in a dissimilar situation only when failure was attributed to global and stable causes. Finally, Experiment 3 found that learned helplessness deficits were a product of the interaction of global and internal attribution. Performance deficits following unsolvable problems were recorded when failure was attributed to global and internal causes. Results were discussed in terms of the reformulated learned helplessness model.

Patient and physician preferences for attributes of coronary revascularization

Directory of Open Access Journals (Sweden)

Magliano CAS

2018-05-01

Full Text Available Carlos Alberto da Silva Magliano,1 Andrea Liborio Monteiro,2 Bernardo Rangel Tura,1 Claudia Silvia Rocha Oliveira,1 Amanda Rebeca de Oliveira Rebelo,1 Claudia Cristina de Aguiar Pereira3 1HTA Department, National Institute of Cardiology, Rio de Janeiro, Brazil; 2Department of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, USA; 3The National School of Public Health Sergio Arouca ENSP/Fiocruz, Rio de Janeiro, Brazil Background: Patients with a diagnosis of coronary artery disease (CAD may face important decisions regarding treatment options, with the “right choice” depending on the relative weights of risks and benefits. Studies performed as discrete choice experiments are used to estimate these weights, and attribute selection is an essential step in the design of these studies. Attributes not included in the design cannot be analyzed. In this study, we aimed to elicit, rank, and rate attributes that may be considered important to patients and physicians who must choose between angioplasty and surgery for coronary revascularization. Methods: The elicitation process involved performing a systematic review to search for attributes cited in declared preference studies in addition to face-to-face interviews with cardiologists and experts. The interviews were audio-recorded in digital format, and the collected data were transcribed and searched to identify new attributes. The criterion used to finish the data collection process was sampling saturation. Results: A systematic review resulted in the selection of the following 14 attributes: atrial fibrillation, heart failure, incision scar, length of stay, long-term survival, myocardial infarction, periprocedural death, postoperative infection, postprocedural angina, pseudoaneurysm, renal failure, repeat coronary artery bypass grafting, repeat percutaneous coronary intervention, and stroke. The interviews added no new attributes. After

Extending Attribution Theory: Considering Students' Perceived Control of the Attribution Process

Science.gov (United States)

Fishman, Evan J.; Husman, Jenefer

2017-01-01

Research in attribution theory has shown that students' causal thinking profoundly affects their learning and motivational outcomes. Very few studies, however, have explored how students' attribution-related beliefs influence the causal thought process. The present study used the perceived control of the attribution process (PCAP) model to examine…

Changing US Attributes After CS-US Pairings Changes CS-Attribute-Assessments: Evidence for CS-US Associations in Attribute Conditioning.

Science.gov (United States)

Förderer, Sabine; Unkelbach, Christian

2016-03-01

Attribute Conditioning (AC) refers to people's changed assessments of stimuli's (CSs) attributes due to repeated pairing with stimuli (USs) possessing these attributes; for example, when an athletic person (US) is paired with a neutral person (CS), the neutral person is judged to be more athletic after the pairing. We hypothesize that this AC effect is due to CSs' associations with USs rather than direct associations with attributes. Three experiments test this hypothesis by changing US attributes after CS-US pairings. Experiments 1 and 2 conditioned athleticism by pairing neutral men (CSs) with athletic and non-athletic USs. Post-conditioning, USs' athleticism was reversed, which systematically influenced participants' assessment of CS athleticism. Experiment 3 conditioned athleticism and changed USs' musicality after CS-US pairings. This post-conditioning change affected musicality assessments of CSs but did not influence athleticism-assessments. The results indicate that AC effects are based on an associative CS-US-attribute structure. © 2016 by the Society for Personality and Social Psychology, Inc.

Use of Commericially Available Software in an Attribute Measurement System

International Nuclear Information System (INIS)

MacArthur, Duncan W.; Bracken, David S.; Carrillo, Louis A.; Elmont, Timothy H.; Frame, Katherine C.; Hirsch, Karen L.

2005-01-01

A major issue in international safeguards of nuclear materials is the ability to verify that processes and materials in nuclear facilities are consistent with declaration without revealing sensitive information. An attribute measurement system (AMS) is a non-destructive assay (NDA) system that utilizes an information barrier to protect potentially sensitive information about the measurement item. A key component is the software utilized for operator interface, data collection, analysis, and attribute determination, as well as the operating system under which they are implemented. Historically, custom software has been used almost exclusively in transparency applications, and it is unavoidable that some amount of custom software is needed. The focus of this paper is to explore the extent to which commercially available software may be used and the relative merits.

Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Science.gov (United States)

Harrison, Mark; Rigby, Dan; Vass, Caroline; Flynn, Terry; Louviere, Jordan; Payne, Katherine

2014-01-01

Discrete choice experiments (DCEs) are used to elicit preferences of current and future patients and healthcare professionals about how they value different aspects of healthcare. Risk is an integral part of most healthcare decisions. Despite the use of risk attributes in DCEs consistently being highlighted as an area for further research, current methods of incorporating risk attributes in DCEs have not been reviewed explicitly. This study aimed to systematically identify published healthcare DCEs that incorporated a risk attribute, summarise and appraise methods used to present and analyse risk attributes, and recommend best practice regarding including, analysing and transparently reporting the methodology supporting risk attributes in future DCEs. The Web of Science, MEDLINE, EMBASE, PsycINFO and Econlit databases were searched on 18 April 2013 for DCEs that included a risk attribute published since 1995, and on 23 April 2013 to identify studies assessing risk communication in the general (non-DCE) health literature. Healthcare-related DCEs with a risk attribute mentioned or suggested in the title/abstract were obtained and retained in the final review if a risk attribute meeting our definition was included. Extracted data were tabulated and critically appraised to summarise the quality of reporting, and the format, presentation and interpretation of the risk attribute were summarised. This review identified 117 healthcare DCEs that incorporated at least one risk attribute. Whilst there was some evidence of good practice incorporated into the presentation of risk attributes, little evidence was found that developing methods and recommendations from other disciplines about effective methods and validation of risk communication were systematically applied to DCEs. In general, the reviewed DCE studies did not thoroughly report the methodology supporting the explanation of risk in training materials, the impact of framing risk, or exploring the validity of risk

Identification and quantification of flavor attributes present in chicken, lamb, pork, beef, and turkey.

Science.gov (United States)

Maughan, Curtis; Martini, Silvana

2012-02-01

The objectives of this study were to use a meat flavor lexicon to identify and quantify flavor differences among different types of meats such as beef, chicken, lamb, pork, and turkey, and to identify and quantify specific flavor attributes associated with "beef flavor" notes. A trained descriptive panel with 11 participants used a previously developed meat lexicon composed of 18 terms to evaluate the flavor of beef, chicken, pork, turkey, and lamb samples. Results show that beef and lamb samples can be described by flavor attributes such as barny, bitter, gamey, grassy, livery, metallic, and roast beef. Inversely related to these samples were pork and turkey and those attributes that were closely related to them, namely brothy, fatty, salty, sweet, and umami. Chicken was not strongly related to the other types of meats or the attributes used. The descriptive panel also evaluated samples of ground beef mixed with chicken to identify and quantify flavor attributes associated with a "beef flavor." Meat patties for this portion consisted of ground beef mixed with ground chicken in varying amounts: 0%, 25%, 50%, 75%, and 100% beef, with the remainder made up of chicken. Beef and beef-rich patties (75% beef) were more closely related to flavor attributes such as astringent, bloody, fatty, gamey, metallic, livery, oxidized, grassy, and roast beef, while chicken was more closely associated with brothy, juicy, sour, sweet, and umami. This research provides information regarding the specific flavor attributes that differentiate chicken and beef products and provides the first set of descriptors that can be associated with "beefy" notes. POTENTIAL APPLICATION: The use of a standardized flavor lexicon will allow meat producers to identify specific flavors present in their products. The impact is to identify and quantify negative and positive flavors in the product with the ultimate goal of optimizing processing or cooking conditions and improve the quality of meat products. �

A Quadrupole Dalton-based multi-attribute method for product characterization, process development, and quality control of therapeutic proteins.

Science.gov (United States)

Xu, Weichen; Jimenez, Rod Brian; Mowery, Rachel; Luo, Haibin; Cao, Mingyan; Agarwal, Nitin; Ramos, Irina; Wang, Xiangyang; Wang, Jihong

2017-10-01

During manufacturing and storage process, therapeutic proteins are subject to various post-translational modifications (PTMs), such as isomerization, deamidation, oxidation, disulfide bond modifications and glycosylation. Certain PTMs may affect bioactivity, stability or pharmacokinetics and pharmacodynamics profile and are therefore classified as potential critical quality attributes (pCQAs). Identifying, monitoring and controlling these PTMs are usually key elements of the Quality by Design (QbD) approach. Traditionally, multiple analytical methods are utilized for these purposes, which is time consuming and costly. In recent years, multi-attribute monitoring methods have been developed in the biopharmaceutical industry. However, these methods combine high-end mass spectrometry with complicated data analysis software, which could pose difficulty when implementing in a quality control (QC) environment. Here we report a multi-attribute method (MAM) using a Quadrupole Dalton (QDa) mass detector to selectively monitor and quantitate PTMs in a therapeutic monoclonal antibody. The result output from the QDa-based MAM is straightforward and automatic. Evaluation results indicate this method provides comparable results to the traditional assays. To ensure future application in the QC environment, this method was qualified according to the International Conference on Harmonization (ICH) guideline and applied in the characterization of drug substance and stability samples. The QDa-based MAM is shown to be an extremely useful tool for product and process characterization studies that facilitates facile understanding of process impact on multiple quality attributes, while being QC friendly and cost-effective.

Leadership skills and attributes of women and nurse executives: challenges for the 21st century.

Science.gov (United States)

Carroll, Theresa L

2005-01-01

This study used a descriptive comparative design in which the skills/attributes identified by women leaders were compared to the skills/attributes identified by the nurse executives (NEs). For the women leaders and NEs, 6 factors were identified through principal components analysis: (1) personal integrity, (2) strategic vision/action orientation, (3) team building/communication skills, (4) management and technical competencies, (5) people skills (eg, empowering others, networking, valuing diversity, working collaboratively), and (6) personal survival skills/attributes (eg, political sensitivity, self-direction, self-reliance, courage, and candor). The items that received the highest level of agreement regarding importance for both groups were contained in the personal integrity factor, which included ethical standards, trustworthiness, and credibility. These factors are discussed and implications for leadership development and nursing administration graduate programs are identified.

Agency attribution: event-related potentials and outcome monitoring.

Science.gov (United States)

Bednark, Jeffery G; Franz, Elizabeth A

2014-04-01

Knowledge about the effects of our actions is an underlying feature of voluntary behavior. Given the importance of identifying the outcomes of our actions, it has been proposed that the sensory outcomes of self-made actions are inherently different from those of externally caused outcomes. Thus, the outcomes of self-made actions are likely to be more motivationally significant for an agent. We used event-related potentials to investigate the relationship between the perceived motivational significance of an outcome and the attribution of agency in the presence of others. In our experiment, we assessed agency attribution in the presence of another agent by varying the degree of contiguity between participants' self-made actions and the sensory outcome. Specifically, we assessed the feedback correct-related positivity (fCRP) and the novelty P3 measures of an outcome's motivational significance and unexpectedness, respectively. Results revealed that both the fCRP and participants' agency attributions were significantly influenced by action-outcome contiguity. However, when action-outcome contiguity was ambiguous, novelty P3 amplitude was a reliable indicator of agency attribution. Prior agency attributions were also found to influence attribution in trials with ambiguous and low action-outcome contiguity. Participants' use of multiple cues to determine agency is consistent with the cue integration theory of agency. In addition to these novel findings, this study supports growing evidence suggesting that reinforcement processes play a significant role in the sense of agency.

INTERNAL AUDIT AS AN ATTRIBUTE OF MANAGEMENT DURING THE ECONOMIC CRISIS

Directory of Open Access Journals (Sweden)

Georgiana Susmanschi

2012-09-01

Full Text Available Internal audit provides through its tasks reasonable assurance that decisions implemented and on-going objectives are under control. Internal audit has passed from a simple check to a role in assisting management in order to have better control over operations, thus the internal audit function overcomes its primordial role to provide simple stage directions functional, following his path to becoming a useful leverage to optimize the company. Any company, irrespective of its business and operating environment, faces a number of risks, frauds. The most effective tools in preventing fraud are management control and internal audit, the latter being of prime importance in the field of corporate governance. The present paper follows to highlight the place and role that internal audit has in the economic entities which it is labeled as an attribute of management. A negative element identified at the level of the affected companies is the failure to identify risk management, due to increasing complexity of services and risky nature of the business. Although internal audit is not responsible for implementation of actions as a response to risks, it is responsible for providing reports to the management of significant information showing key risk assessment and so helps the management to become more efficient.

A systematic review of ecological attributes that confer resilience to climate change in environmental restoration.

Directory of Open Access Journals (Sweden)

Britta L Timpane-Padgham

Full Text Available Ecological restoration is widely practiced as a means of rehabilitating ecosystems and habitats that have been degraded or impaired through human use or other causes. Restoration practices now are confronted by climate change, which has the potential to influence long-term restoration outcomes. Concepts and attributes from the resilience literature can help improve restoration and monitoring efforts under changing climate conditions. We systematically examined the published literature on ecological resilience to identify biological, chemical, and physical attributes that confer resilience to climate change. We identified 45 attributes explicitly related to climate change and classified them as individual- (9, population- (6, community- (7, ecosystem- (7, or process-level attributes (16. Individual studies defined resilience as resistance to change or recovery from disturbance, and only a few studies explicitly included both concepts in their definition of resilience. We found that individual and population attributes generally are suited to species- or habitat-specific restoration actions and applicable at the population scale. Community attributes are better suited to habitat-specific restoration at the site scale, or system-wide restoration at the ecosystem scale. Ecosystem and process attributes vary considerably in their type and applicability. We summarize these relationships in a decision support table and provide three example applications to illustrate how these classifications can be used to prioritize climate change resilience attributes for specific restoration actions. We suggest that (1 including resilience as an explicit planning objective could increase the success of restoration projects, (2 considering the ecological context and focal scale of a restoration action is essential in choosing appropriate resilience attributes, and (3 certain ecological attributes, such as diversity and connectivity, are more commonly considered to

A systematic review of ecological attributes that confer resilience to climate change in environmental restoration.

Science.gov (United States)

Timpane-Padgham, Britta L; Beechie, Tim; Klinger, Terrie

2017-01-01

Ecological restoration is widely practiced as a means of rehabilitating ecosystems and habitats that have been degraded or impaired through human use or other causes. Restoration practices now are confronted by climate change, which has the potential to influence long-term restoration outcomes. Concepts and attributes from the resilience literature can help improve restoration and monitoring efforts under changing climate conditions. We systematically examined the published literature on ecological resilience to identify biological, chemical, and physical attributes that confer resilience to climate change. We identified 45 attributes explicitly related to climate change and classified them as individual- (9), population- (6), community- (7), ecosystem- (7), or process-level attributes (16). Individual studies defined resilience as resistance to change or recovery from disturbance, and only a few studies explicitly included both concepts in their definition of resilience. We found that individual and population attributes generally are suited to species- or habitat-specific restoration actions and applicable at the population scale. Community attributes are better suited to habitat-specific restoration at the site scale, or system-wide restoration at the ecosystem scale. Ecosystem and process attributes vary considerably in their type and applicability. We summarize these relationships in a decision support table and provide three example applications to illustrate how these classifications can be used to prioritize climate change resilience attributes for specific restoration actions. We suggest that (1) including resilience as an explicit planning objective could increase the success of restoration projects, (2) considering the ecological context and focal scale of a restoration action is essential in choosing appropriate resilience attributes, and (3) certain ecological attributes, such as diversity and connectivity, are more commonly considered to confer

Understanding the Reading Attributes and Their Cognitive Relationships on a High-Stakes Biology Assessment

Science.gov (United States)

Rawlusyk, Kevin James

Test items used to assess learners' knowledge on high-stakes science examinations contain contextualized questions that unintentionally assess reading skill along with conceptual knowledge. Therefore, students who are not proficient readers are unable to comprehend the text within the test item to demonstrate effectively their level of science knowledge. The purpose of this quantitative study was to understand what reading attributes were required to successfully answer the Biology 30 Diploma Exam. Furthermore, the research sought to understand the cognitive relationships among the reading attributes through quantitative analysis structured by the Attribute Hierarchy Model (AHM). The research consisted of two phases: (1) Cognitive development, where the cognitive attributes of the Biology 30 Exam were specified and hierarchy structures were developed; and (2) Psychometric analysis, that statistically tested the attribute hierarchy using the Hierarchy Consistency Index (HCI), and calculate attribute probabilities. Phase one of the research used January 2011, Biology 30 Diploma Exam, while phase two accessed archival data for the 9985 examinees who took the assessment on January 24th, 2011. Phase one identified ten specific reading attributes, of which five were identified as unique subsets of vocabulary, two were identified as reading visual representations, and three corresponded to general reading skills. Four hierarchical cognitive model were proposed then analyzed using the HCI as a mechanism to explain the relationship among the attributes. Model A had the highest HCI value (0.337), indicating an overall poor data fit, yet for the top achieving examinees the model had an excellent model fit with an HCI value of 0.888, and for examinees that scored over 60% there was a moderate model fit (HCI = 0.592). Linear regressions of the attribute probability estimates suggest that there is a cognitive relationship among six of the ten reading attributes (R2 = 0.958 and 0

Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes.

Science.gov (United States)

Park, Seyoung; Nie, Xiaohan; Zhu, Song-Chun

2017-07-25

This paper presents an attribute and-or grammar (A-AOG) model for jointly inferring human body pose and human attributes in a parse graph with attributes augmented to nodes in the hierarchical representation. In contrast to other popular methods in the current literature that train separate classifiers for poses and individual attributes, our method explicitly represents the decomposition and articulation of body parts, and account for the correlations between poses and attributes. The A-AOG model is an amalgamation of three traditional grammar formulations: (i)Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; (ii)Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and (iii)Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style. The parse graph outputs human detection, pose estimation, and attribute prediction simultaneously, which are intuitive and interpretable. We conduct experiments on two tasks on two datasets, and experimental results demonstrate the advantage of joint modeling in comparison with computing poses and attributes independently. Furthermore, our model obtains better performance over existing methods for both pose estimation and attribute prediction tasks.

A Checklist for Reporting Valuation Studies of Multi-Attribute Utility-Based Instruments (CREATE)

NARCIS (Netherlands)

Xie, Feng; Pickard, A. Simon; Krabbe, Paul F. M.; Revicki, Dennis; Viney, Rosalie; Devlin, Nancy; Feeny, David

Multi-attribute utility-based instruments (MAUIs) assess health status and provide an index score on the full health-dead scale, and are widely used to support reimbursement decisions for new healthcare interventions worldwide. A valuation study is a key part of the development of MAUIs, with the

Influence of bottled water packaging attributes on consumers ...

African Journals Online (AJOL)

The purpose of this study was to identify the influence of bottled water packaging attributes on consumers' purchase decision. The research focused in Addis Ababa (Ethiopia). The study used color, graphic design, size, printed information and shape of packaging as independent variables and consumers' purchase ...

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?

KAUST Repository

Alabdulmohsin, Ibrahim; Cisse, Moustapha; Zhang, Xiangliang

2016-01-01

One transfer learning approach that has gained a wide popularity lately is attribute-based zero-shot learning. Its goal is to learn novel classes that were never seen during the training stage. The classical route towards realizing this goal is to incorporate a prior knowledge, in the form of a semantic embedding of classes, and to learn to predict classes indirectly via their semantic attributes. Despite the amount of research devoted to this subject lately, no known algorithm has yet reported a predictive accuracy that could exceed the accuracy of supervised learning with very few training examples. For instance, the direct attribute prediction (DAP) algorithm, which forms a standard baseline for the task, is known to be as accurate as supervised learning when as few as two examples from each hidden class are used for training on some popular benchmark datasets! In this paper, we argue that this lack of significant results in the literature is not a coincidence; attribute-based zero-shot learning is fundamentally an ill-posed strategy. The key insight is the observation that the mechanical task of predicting an attribute is, in fact, quite different from the epistemological task of learning the “correct meaning” of the attribute itself. This renders attribute-based zero-shot learning fundamentally ill-posed. In more precise mathematical terms, attribute-based zero-shot learning is equivalent to the mirage goal of learning with respect to one distribution of instances, with the hope of being able to predict with respect to any arbitrary distribution. We demonstrate this overlooked fact on some synthetic and real datasets. The data and software related to this paper are available at https://mine. kaust.edu.sa/Pages/zero-shot-learning.aspx. © Springer International Publishing AG 2016.

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?

KAUST Repository

Alabdulmohsin, Ibrahim

2016-09-03

One transfer learning approach that has gained a wide popularity lately is attribute-based zero-shot learning. Its goal is to learn novel classes that were never seen during the training stage. The classical route towards realizing this goal is to incorporate a prior knowledge, in the form of a semantic embedding of classes, and to learn to predict classes indirectly via their semantic attributes. Despite the amount of research devoted to this subject lately, no known algorithm has yet reported a predictive accuracy that could exceed the accuracy of supervised learning with very few training examples. For instance, the direct attribute prediction (DAP) algorithm, which forms a standard baseline for the task, is known to be as accurate as supervised learning when as few as two examples from each hidden class are used for training on some popular benchmark datasets! In this paper, we argue that this lack of significant results in the literature is not a coincidence; attribute-based zero-shot learning is fundamentally an ill-posed strategy. The key insight is the observation that the mechanical task of predicting an attribute is, in fact, quite different from the epistemological task of learning the “correct meaning” of the attribute itself. This renders attribute-based zero-shot learning fundamentally ill-posed. In more precise mathematical terms, attribute-based zero-shot learning is equivalent to the mirage goal of learning with respect to one distribution of instances, with the hope of being able to predict with respect to any arbitrary distribution. We demonstrate this overlooked fact on some synthetic and real datasets. The data and software related to this paper are available at https://mine. kaust.edu.sa/Pages/zero-shot-learning.aspx. © Springer International Publishing AG 2016.

Attending to the reasons for attribute non-attendance in choice experiments

DEFF Research Database (Denmark)

Alemu, Mohammed Hussen; Mørkbak, Morten Raun; Olsen, Søren Bøye

2013-01-01

This paper focuses on behavioural reasons underlying stated attribute non-attendance in choice experiments. In order to identify and incorporate procedures for dealing with heterogeneous attribute processing strategies, we ask respondents follow-up questions regarding their reasons for ignoring...... not affect their utility. Excluding these genuine zero preferences, as the standard approach essentially does, might bias results. Other respondents claim to have ignored attributes to simplify choices. However, we find that these respondents have actually not completely ignored attributes. We argue along...... the rationally adaptive behavioural model that valid preference information may indeed be elicited in these cases, and we illustrate how recoding of non-attendance statements conditional on stated reasons may be a more appropriate solution than the current standard way of taking stated non...

Identifying Key Features, Cutting Edge Cloud Resources, and Artificial Intelligence Tools to Achieve User-Friendly Water Science in the Cloud

Science.gov (United States)

Pierce, S. A.

2017-12-01

Decision making for groundwater systems is becoming increasingly important, as shifting water demands increasingly impact aquifers. As buffer systems, aquifers provide room for resilient responses and augment the actual timeframe for hydrological response. Yet the pace impacts, climate shifts, and degradation of water resources is accelerating. To meet these new drivers, groundwater science is transitioning toward the emerging field of Integrated Water Resources Management, or IWRM. IWRM incorporates a broad array of dimensions, methods, and tools to address problems that tend to be complex. Computational tools and accessible cyberinfrastructure (CI) are needed to cross the chasm between science and society. Fortunately cloud computing environments, such as the new Jetstream system, are evolving rapidly. While still targeting scientific user groups systems such as, Jetstream, offer configurable cyberinfrastructure to enable interactive computing and data analysis resources on demand. The web-based interfaces allow researchers to rapidly customize virtual machines, modify computing architecture and increase the usability and access for broader audiences to advanced compute environments. The result enables dexterous configurations and opening up opportunities for IWRM modelers to expand the reach of analyses, number of case studies, and quality of engagement with stakeholders and decision makers. The acute need to identify improved IWRM solutions paired with advanced computational resources refocuses the attention of IWRM researchers on applications, workflows, and intelligent systems that are capable of accelerating progress. IWRM must address key drivers of community concern, implement transdisciplinary methodologies, adapt and apply decision support tools in order to effectively support decisions about groundwater resource management. This presentation will provide an overview of advanced computing services in the cloud using integrated groundwater management case

Understanding persuasive attributes of sports betting advertisements: A conjoint analysis of selected elements.

Science.gov (United States)

Hing, Nerilee; Vitartas, Peter; Lamont, Matthew

2017-12-01

Background and aims Despite recent growth in sports betting advertising, minimal research has examined the influence of different advertising message attributes on betting attitudes and behaviors. This study aimed to identify which attributes of sports betting advertisements most engage attention, interest, desire and likelihood of betting among non-problem, low-risk, moderate-risk, and problem gamblers. Methods A novel approach utilizing an experimental design incorporating conjoint analysis examined the effects of: three message formats (commentary, on-screen display, and studio crossover); four appeals (neutral, jovial, ease of placing the bet, and sense of urgency); three types of presenters (match presenter, sports betting operator, and attractive non-expert female presenter); and four bet types (traditional, exotic key event, risk-free, and micro-bet). A professional film company using paid actors produced 20 mock television advertisements simulating typical gambling messages based on the conjoint approach. These were embedded into an online survey of 611 Australian adults. Results The most attention-grabbing attributes were type of presenter and type of bet. The attractive non-expert female presenter gained more attention from all gambler groups than other presenters. The type of bet was most persuasive in converting attention into likely betting among all gambler groups, with the risk-free bet being much more persuasive than other bet types. Problem gamblers were distinct by their greater attraction to in-play micro-bets. Discussion and conclusion Given the potential for incentivized bets offering financial inducements and for in-play micro-bets to undermine harm minimization and consumer protection, regulators and wagering operators should reconsider whether these bet types are consistent with their responsible gambling objectives.

Acknowleding attributes that enable the career academic nurse to thrive in the tertiary education sector: A qualitative systematic review.

Science.gov (United States)

Wyllie, Aileen; DiGiacomo, Michelle; Jackson, Debra; Davidson, Patricia; Phillips, Jane

2016-10-01

To optimise the career development in early career academic nurses by providing an overview of the attributes necessary for success. Evidence of early prospective career planning is necessary to optimise success in the tertiary sector. This is particularly important for nurse academics given the profession's later entry into academia, the ageing nursing workforce and the continuing global shortage of nurses. A qualitative systematic review. Academic Search Complete, CINAHL, Medline, ERIC, Professional Development Collection and Google Scholar databases were searched; resulting in the inclusion of nine qualitative nurse-only focussed studies published between 2004 and 2014. The studies were critically appraised and the data thematically analysed. Three abilities were identified as important to the early career academic nurse: a willingness to adapt to change, an intention to pursue support and embodying resilience. These abilities give rise to attributes that are recommended as key to successful academic career development for those employed on a continuing academic basis. The capacity to rely on one's own capabilities is becoming seen as increasingly important. It is proposed that recognition of these attributes, their skilful application and monitoring outlined in the review are recommended for a successful career in academia. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

Soil attributes drive nest-site selection by the campo miner Geositta poeciloptera

Science.gov (United States)

Teixeira, João Paulo Gusmão; Solar, Ricardo; Vasconcelos, Bruno Nery F.; Fernandes, Raphael B. A.; Lopes, Leonardo Esteves

2018-01-01

Substrate type is a key-factor in nest-site selection and nest architecture of burrowing birds. However, little is known about which factors drive nest-site selection for these species, especially in the tropics. We studied the influence of soil attributes on nest-site selection by the campo miner Geositta poeciloptera, an open grassland bird that builds its nests within soil cavities. For all nests found, we measured the depth of the nest cavity and the resistance of the soil to penetration, and identified the soil horizon in which the nest was located. In soil banks with nests, we collected soil samples for granulometric analysis around each nest cavity, while in soil banks without nests we collected these samples at random points. From 43 nests found, 86% were located in the deeper soil horizons (C-horizon), and only 14% in the shallower horizons (B-horizon). Granulometric analysis showed that the C-horizons possessed a high similar granulometric composition, with high silt and low clay contents. These characteristics are associated with a low degree of structural development of the soil, which makes it easier to excavate. Contrarily, soil resistance to penetration does not seem to be an important criterion for nest site selection, although nests in more resistant the soils tend to have shallower nest cavities. Among the soil banks analyzed, 40% of those without cavities possessed a larger proportion of B-horizon relative to the C-horizon, and their texture was more clayey. On the other hand, almost all soil banks containing nest cavities had a larger C-horizon and a silty texture, indicating that soil attributes drive nest-site selection by G. poeciloptera. Thus, we conclude that the patchy distribution of G. poeciloptera can attributed to the infrequent natural exposure of the C-horizon in the tropical region, where well developed, deep and permeable soils are more common. PMID:29381768

Soil attributes drive nest-site selection by the campo miner Geositta poeciloptera.

Science.gov (United States)

Meireles, Ricardo Camargos de; Teixeira, João Paulo Gusmão; Solar, Ricardo; Vasconcelos, Bruno Nery F; Fernandes, Raphael B A; Lopes, Leonardo Esteves

2018-01-01

Substrate type is a key-factor in nest-site selection and nest architecture of burrowing birds. However, little is known about which factors drive nest-site selection for these species, especially in the tropics. We studied the influence of soil attributes on nest-site selection by the campo miner Geositta poeciloptera, an open grassland bird that builds its nests within soil cavities. For all nests found, we measured the depth of the nest cavity and the resistance of the soil to penetration, and identified the soil horizon in which the nest was located. In soil banks with nests, we collected soil samples for granulometric analysis around each nest cavity, while in soil banks without nests we collected these samples at random points. From 43 nests found, 86% were located in the deeper soil horizons (C-horizon), and only 14% in the shallower horizons (B-horizon). Granulometric analysis showed that the C-horizons possessed a high similar granulometric composition, with high silt and low clay contents. These characteristics are associated with a low degree of structural development of the soil, which makes it easier to excavate. Contrarily, soil resistance to penetration does not seem to be an important criterion for nest site selection, although nests in more resistant the soils tend to have shallower nest cavities. Among the soil banks analyzed, 40% of those without cavities possessed a larger proportion of B-horizon relative to the C-horizon, and their texture was more clayey. On the other hand, almost all soil banks containing nest cavities had a larger C-horizon and a silty texture, indicating that soil attributes drive nest-site selection by G. poeciloptera. Thus, we conclude that the patchy distribution of G. poeciloptera can attributed to the infrequent natural exposure of the C-horizon in the tropical region, where well developed, deep and permeable soils are more common.

Provider attributes correlation analysis to their referral frequency and awards.

Science.gov (United States)

Wiley, Matthew T; Rivas, Ryan L; Hristidis, Vagelis

2016-03-14

There has been a recent growth in health provider search portals, where patients specify filters-such as specialty or insurance-and providers are ranked by patient ratings or other attributes. Previous work has identified attributes associated with a provider's quality through user surveys. Other work supports that intuitive quality-indicating attributes are associated with a provider's quality. We adopt a data-driven approach to study how quality indicators of providers are associated with a rich set of attributes including medical school, graduation year, procedures, fellowships, patient reviews, location, and technology usage. In this work, we only consider providers as individuals (e.g., general practitioners) and not organizations (e.g., hospitals). As quality indicators, we consider the referral frequency of a provider and a peer-nominated quality designation. We combined data from the Centers for Medicare and Medicaid Services (CMS) and several provider rating web sites to perform our analysis. Our data-driven analysis identified several attributes that correlate with and discriminate against referral volume and peer-nominated awards. In particular, our results consistently demonstrate that these attributes vary by locality and that the frequency of an attribute is more important than its value (e.g., the number of patient reviews or hospital affiliations are more important than the average review rating or the ranking of the hospital affiliations, respectively). We demonstrate that it is possible to build accurate classifiers for referral frequency and quality designation, with accuracies over 85 %. Our findings show that a one-size-fits-all approach to ranking providers is inadequate and that provider search portals should calibrate their ranking function based on location and specialty. Further, traditional filters of provider search portals should be reconsidered, and patients should be aware of existing pitfalls with these filters and educated on local

Experimental infections with Mycoplasma agalactiae identify key factors involved in host-colonization.

Directory of Open Access Journals (Sweden)

Eric Baranowski

Full Text Available Mechanisms underlying pathogenic processes in mycoplasma infections are poorly understood, mainly because of limited sequence similarities with classical, bacterial virulence factors. Recently, large-scale transposon mutagenesis in the ruminant pathogen Mycoplasma agalactiae identified the NIF locus, including nifS and nifU, as essential for mycoplasma growth in cell culture, while dispensable in axenic media. To evaluate the importance of this locus in vivo, the infectivity of two knock-out mutants was tested upon experimental infection in the natural host. In this model, the parental PG2 strain was able to establish a systemic infection in lactating ewes, colonizing various body sites such as lymph nodes and the mammary gland, even when inoculated at low doses. In these PG2-infected ewes, we observed over the course of infection (i the development of a specific antibody response and (ii dynamic changes in expression of M. agalactiae surface variable proteins (Vpma, with multiple Vpma profiles co-existing in the same animal. In contrast and despite a sensitive model, none of the knock-out mutants were able to survive and colonize the host. The extreme avirulent phenotype of the two mutants was further supported by the absence of an IgG response in inoculated animals. The exact role of the NIF locus remains to be elucidated but these data demonstrate that it plays a key role in the infectious process of M. agalactiae and most likely of other pathogenic mycoplasma species as many carry closely related homologs.

Lexical Studies of Filipino Person Descriptors: Adding Personality-Relevant Social and Physical Attributes

Science.gov (United States)

Imperio, Shellah Myra; Church, A. Timothy; Katigbak, Marcia S.; Reyes, Jose Alberto S.

2009-01-01

Lexical studies have focused on traits. In the Filipino language, we investigated whether additional dimensions can be identified when personality-relevant terms for social roles, statuses, and effects, plus physical attributes, are included. Filipino students (N = 496) rated themselves on 268 such terms, plus 253 markers of trait and evaluative dimensions. We identified 10 dimensions of social and physical attributes—Prominence, Uselessness, Attractiveness, Respectability, Uniqueness, Destructiveness, Presentableness, Strength, Dangerousness, and Charisma. Most of these dimensions did not correspond in a one-to-one manner to Filipino or alternative trait models (Big Five, HEXACO, ML7). However, considerable redundancy was observed between the social and physical attribute dimensions and trait and evaluative dimensions. Thus, social and physical attributes communicate information about personality traits, and vice-versa. PMID:19779603

Using Range-Wide Abundance Modeling to Identify Key Conservation Areas for the Micro-Endemic Bolson Tortoise (Gopherus flavomarginatus.

Directory of Open Access Journals (Sweden)

Cinthya A Ureña-Aranda

Full Text Available A widespread biogeographic pattern in nature is that population abundance is not uniform across the geographic range of species: most occurrence sites have relatively low numbers, whereas a few places contain orders of magnitude more individuals. The Bolson tortoise Gopherus flavomarginatus is endemic to a small region of the Chihuahuan Desert in Mexico, where habitat deterioration threatens this species with extinction. In this study we combined field burrows counts and the approach for modeling species abundance based on calculating the distance to the niche centroid to obtain range-wide abundance estimates. For the Bolson tortoise, we found a robust, negative relationship between observed burrows abundance and distance to the niche centroid, with a predictive capacity of 71%. Based on these results we identified four priority areas for the conservation of this microendemic and threatened tortoise. We conclude that this approach may be a useful approximation for identifying key areas for sampling and conservation efforts in elusive and rare species.

Determining the key drivers and mitigating factors that influence the role of the Nurse and/or Midwife Consultant: a cross-sectional survey.

Science.gov (United States)

Fernandez, Ritin S; Sheppard-Law, Suzanne; Manning, Vicki

2017-06-01

Globally, many nurses and midwives are working at an advanced practice level. The role of a Nurse and/or Midwife Consultant encompasses a diverse and complex interaction between five specified domains namely Clinical Service and Consultancy, Clinical Leadership, Research, Education, and Clinical Services Planning and Management. The objective of this replication study was to identify the key drivers and mitigating factors that impact the role of Australian Nurse and/or Midwife Consultants. Cross-sectional survey. The study was conducted in a large metropolitan health district in Sydney, Australia. Participants for this study consisted of all Nurse and/or Midwife Consultants working within a health district in New South Wales (NSW). Data were collected by an anonymous online survey. Key drivers and mitigating factors perceived to influence their role were identified using previously implemented instruments. Data were analysed using SPSS version 21. Responses were obtained from 122 Nurse and/or Midwife Consultants. The number of years of experience as a Nurse and/or Midwife Consultant ranged from 6 months to 25.5 years. Personal attributes which included personal motivation and own communication skills were identified as key drivers to role performance with a mean score of 7.7±0.6. Other key drivers included peer support, organisational culture, personal attributes, professional learning, Nurse and/or Midwife Consultant experience, and collaborative relationships. Of the 14 mitigating factors to the role, the most common factors were lack of resources to set up and develop the role (2.6 ± 0.9), lack of secretarial support (2.6 ± 1.1), lack of managerial support (2.45 ± 1.1), and lack of understanding of the role by other health professionals (2.40 ± 0.8). Understanding the key drivers and mitigating factors that influence the role of the Nurse and/or Midwife Consultant is important for healthcare managers. Given the changing landscape of nursing

Preferences of processing companies for attributes of Swiss milk: a conjoint analysis in a business-to-business market.

Science.gov (United States)

Boesch, I

2013-04-01

This study aimed to determine key attributes of milk that drive a processor's supply decisions and possibilities for differentiation based on these product attributes. Feedback-driven exploration was applied to derive product attributes relevant to the buying decision. Conjoint analysis with hierarchical Bayes estimation methods was used to determine the relative importance of attributes. Results show that the technical aspects of milk, as well as the price and country of origin, dominate the buying decision. Potential for differentiation was found for environmental and societal attributes as well as freedom from genetically modified products. Product and supplier criteria also provide the potential to segment the market if the price premium is held within limits. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

The Impact of MBA Programme Attributes on Post-MBA Salaries

OpenAIRE

Elliott, Caroline; Soo, Kwok Tong

2016-01-01

This paper explores the impact of various MBA programme attributes on the average post-MBA salary of graduates, contributing to the literature on the returns to an MBA degree, which to date has instead focused predominantly on the impact of individual student traits. The analysis uses a new panel dataset, comprising MBA programmes from across the world. Results indicate that pre-MBA salary and quality rank of programme are key determinants of post-MBA salary.

Detection and Attribution of Anthropogenic Climate Change Impacts

Science.gov (United States)

Rosenzweig, Cynthia; Neofotis, Peter

2013-01-01

Human-influenced climate change is an observed phenomenon affecting physical and biological systems across the globe. The majority of observed impacts are related to temperature changes and are located in the northern high- and midlatitudes. However, new evidence is emerging that demonstrates that impacts are related to precipitation changes as well as temperature, and that climate change is impacting systems and sectors beyond the Northern Hemisphere. In this paper, we highlight some of this new evidence-focusing on regions and sectors that the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) noted as under-represented-in the context of observed climate change impacts, direct and indirect drivers of change (including carbon dioxide itself), and methods of detection. We also present methods and studies attributing observed impacts to anthropogenic forcing. We argue that the expansion of methods of detection (in terms of a broader array of climate variables and data sources, inclusion of the major modes of climate variability, and incorporation of other drivers of change) is key to discerning the climate sensitivities of sectors and systems in regions where the impacts of climate change currently remain elusive. Attributing such changes to human forcing of the climate system, where possible, is important for development of effective mitigation and adaptation. Current challenges in documenting adaptation and the role of indigenous knowledge in detection and attribution are described.

MDEP Technical Report TR-CSWG-03. Technical Report: fundamental attributes for the design and construction of reactor coolant pressure-boundary components

International Nuclear Information System (INIS)

2014-01-01

The primary, long-term goal of MDEP's CSWG is to achieve international harmonisation of codes and standards for pressure boundary components in nuclear power plants that are important to reactor safety. The key to achieving harmonisation is to understand the extent of similarities and differences amongst the pressure boundary codes and standards used in various countries. To assist the CSWG in its long-term goals, several standards development organisations (SDOs) from various countries performed a comparison of their pressure boundary codes and standards to identify the extent of similarities and differences in code requirements and the reasons for their differences. This CSWG document provides the fundamental attributes which have been developed for the codes and standards used in the design and construction of reactor coolant pressure boundary components in nuclear power plants. The fundamental attributes are the basic concepts to be considered in the design, materials, fabrication, installation, examination, testing and over-pressure protection requirements for pressure boundary components

Postdetonation nuclear debris for attribution.

Science.gov (United States)

Fahey, A J; Zeissler, C J; Newbury, D E; Davis, J; Lindstrom, R M

2010-11-23

On the morning of July 16, 1945, the first atomic bomb was exploded in New Mexico on the White Sands Proving Ground. The device was a plutonium implosion device similar to the device that destroyed Nagasaki, Japan, on August 9 of that same year. Recently, with the enactment of US public law 111-140, the "Nuclear Forensics and Attribution Act," scientists in the government and academia have been able, in earnest, to consider what type of forensic-style information may be obtained after a nuclear detonation. To conduct a robust attribution process for an exploded device placed by a nonstate actor, forensic analysis must yield information about not only the nuclear material in the device but about other materials that went into its construction. We have performed an investigation of glassed ground debris from the first nuclear test showing correlations among multiple analytical techniques. Surprisingly, there is strong evidence, obtainable only through microanalysis, that secondary materials used in the device can be identified and positively associated with the nuclear material.

Guide of attributes of the nurse's political competence: a methodological study

Directory of Open Access Journals (Sweden)

Wesley Soares de Melo

Full Text Available ABSTRACT Objective: To build and validate a guide of attributes of the nurse's political competence. Method: Methodological research. This study comprised the construction of the instrument through literature review; experts validation of pre-established attributes for composing the guide; and clinical validation in the nurses work environment/reality. The data collection took place in the months from August to October 2014, and the analysis was based on the content analysis of Bardin and use of Epi info 3.5. All ethical precepts have been complied with. Results: From 29 attributes found in the literature, 25 have been validated by experts. Clinical/practical validation involved the participation of 43 nurses, who observed that the attributes are not articulated with the professional practices developed by them. Conclusion: The attributes of the nurse's political competence were identified with support of literature. It is concluded that the professionals still have limited and fragmented perception of political competence, expressing difficulty/limitation.

A model to Estimate the Implicit Values of Housing Attributes by Applying the Hedonic Pricing Method

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TD Randeniya

2017-05-01

Full Text Available Many scholars focused on the location based attributes rather than the non-location factors in decision making on land prices. Further, new research studies have identified the importance of the non-location attributes with the location factors. Many studies suggest that, many attributes exist which affects the housing price. Since the attributes involved and dominant for a particular case differs from one situation to the other, there cannot be an exact list of attributes. Yet, identification of factors that determine housing price and their relationships and the level of influence have poorly understood in planning and property development in the context of Sri Lanka. This study attempts to address what make householders to decide on housing price and application of hedonic pricing approach to estimate the implicit price of housing attributes in context of Sri Lanka. A sample study of selected fifty (50 single house transactions in Maharagama urban neighborhood area has been utilized to illustrate the applicability of the hedonic pricing model. As a methodology, correlation analysis has been carried out to study the degree of relationship between the housing price and the independent variables. The attributes which correlate with housing prices, the study identified the most significant attributes. A model was developed to estimate the future house price by applying the pricing model which is incorporated with these attributes. A hedonic house price model derived from multiple liner regression analysis was developed for the purpose. The findings reveal that six attributes as design type of the house, distance to the local road, quality of Infrastructure, garden size, number of the bed rooms and property age are contributed to estimate the implicit value of Housing property. The model developed would be used to identify implicit values of houses located in urban neighborhood area of Sri Lanka.

Supply chain performance attributes for the fast moving consumer goods industry

Directory of Open Access Journals (Sweden)

Madhu Bala

2011-11-01

Full Text Available This research paper identifies the supply chain performance attributes that are relevant to the Fast Moving Consumer Goods (FMCG industry. The FMCG supply chains are analysed from the perspective of processes, components and typology. The typical issues faced by the FMCG supply chains are also explored. Three supply chain operational models are compared and identify SCOR as the one best suited for the FMCG industry. The survey, conducted with the respondents from four research cases across two product categories, demonstrates the acceptance and the usage of the performance attributes for the FMCG supply chains. The results also include the analysis of the typology of the research cases across two product categories.

I Thought This Was a Study on Math Games: Attribute Modification in Children’s Interactions with Mathematics Apps

Directory of Open Access Journals (Sweden)

Stephen I Tucker

2017-05-01

Full Text Available Technology is an increasingly important component of education. Children’s mathematical interactions with technology have become a focus of mathematics education research, but less research has investigated constructs that contribute to these mathematical interactions. Attributes of children and technology play a key role in mathematical interactions and both children and technology can modify attributes during these interactions. Grounded in the Artifact-Centric Activity Theory and linked to recent developments in research on technology in mathematics education, this qualitative study extended an earlier exploratory study to investigate attribute modification. In particular, this study examined patterns of attribute modification evident during fifth grade students’ mathematical interactions with two mathematics virtual manipulative touchscreen tablet apps. Results included three categories related to attribute modification: (1 reactive attribute modification (linear progression or repeated repetition; (2 unperceived attributes and opportunities for proactive modification; and (3 proactive modification (seeking equilibrium, seeking disequilibrium, or seeking equilibrium and disequilibrium. Findings have implications for designers, teachers, and researchers of educational technology.

Inferring source attribution from a multiyear multisource data set of Salmonella in Minnesota.

Science.gov (United States)

Ahlstrom, C; Muellner, P; Spencer, S E F; Hong, S; Saupe, A; Rovira, A; Hedberg, C; Perez, A; Muellner, U; Alvarez, J

2017-12-01

Salmonella enterica is a global health concern because of its widespread association with foodborne illness. Bayesian models have been developed to attribute the burden of human salmonellosis to specific sources with the ultimate objective of prioritizing intervention strategies. Important considerations of source attribution models include the evaluation of the quality of input data, assessment of whether attribution results logically reflect the data trends and identification of patterns within the data that might explain the detailed contribution of different sources to the disease burden. Here, more than 12,000 non-typhoidal Salmonella isolates from human, bovine, porcine, chicken and turkey sources that originated in Minnesota were analysed. A modified Bayesian source attribution model (available in a dedicated R package), accounting for non-sampled sources of infection, attributed 4,672 human cases to sources assessed here. Most (60%) cases were attributed to chicken, although there was a spike in cases attributed to a non-sampled source in the second half of the study period. Molecular epidemiological analysis methods were used to supplement risk modelling, and a visual attribution application was developed to facilitate data exploration and comprehension of the large multiyear data set assessed here. A large amount of within-source diversity and low similarity between sources was observed, and visual exploration of data provided clues into variations driving the attribution modelling results. Results from this pillared approach provided first attribution estimates for Salmonella in Minnesota and offer an understanding of current data gaps as well as key pathogen population features, such as serotype frequency, similarity and diversity across the sources. Results here will be used to inform policy and management strategies ultimately intended to prevent and control Salmonella infection in the state. © 2017 Blackwell Verlag GmbH.

Identifying the Key Weaknesses in Network Security at Colleges.

Science.gov (United States)

Olsen, Florence

2000-01-01

A new study identifies and ranks the 10 security gaps responsible for most outsider attacks on college computer networks. The list is intended to help campus system administrators establish priorities as they work to increase security. One network security expert urges that institutions utilize multiple security layers. (DB)

Strictness Analysis for Attribute Grammars

DEFF Research Database (Denmark)

Rosendahl, Mads

1992-01-01

interpretation of attribute grammars. The framework is used to construct a strictness analysis for attribute grammars. Results of the analysis enable us to transform an attribute grammar such that attributes are evaluated during parsing, if possible. The analysis is proved correct by relating it to a fixpoint...... semantics for attribute grammars. An implementation of the analysis is discussed and some extensions to the analysis are mentioned....

Techniques for getting the most from an evaluation: Review of methods and results for attributing progress, non-energy benefits, net to gross, and cost-benefit

International Nuclear Information System (INIS)

Skumatz, Lisa A.

2005-01-01

As background for several evaluation and attribution projects, the authors conducted research on best practices in a few key areas of evaluation. We focused on techniques used in measuring market progress, enhanced techniques in attributing net energy impacts, and examining omitted program effects, particularly net non-energy benefits. The research involved a detailed literature review, interviews with program managers and evaluators across the US, and refinements of techniques used by the authors in conducting evaluation work. The object of the research was to uncover successful (and unsuccessful) approaches being used for key aspects of evaluation work. The research uncovered areas of tracking that are becoming more commonly used by agencies to assess progress in the market. In addition, detailed research by the authors on a number of impact and attribution evaluations have also led to recommendations on key practices that we believe comprise elements of best practices for assessments of attributable program effects. Specifically, we have identified a number of useful steps to improve the attribution of impacts to program interventions. Information on techniques for both attribution/causality work for a number of programs are presented - including market transformation programs that rely on marketing, advertising, training, and mid-stream incentives and work primarily with a network of participating mid-market actors. The project methods and results are presented and include: Theory-based evaluation, indicators, and hypothesis testing; Enhanced measurement of free riders, spillover, and other effects, and attribution of impacts using distribution and ranges of measure and intervention impacts, rather than less reliable point estimates; Attribution of program-induced non-energy benefits; Net to gross, benefit cost analysis, and incorporation of scenario/risk analysis of results; Comparison of net to gross results across program types to explore patterns and

Techniques for getting the most from an evaluation: Review of methods and results for attributing progress, non-energy benefits, net to gross, and cost-benefit

Energy Technology Data Exchange (ETDEWEB)

Skumatz, Lisa A. [Skumatz Economic Research Associates, Inc., Superior, CO (United States)

2005-07-01

As background for several evaluation and attribution projects, the authors conducted research on best practices in a few key areas of evaluation. We focused on techniques used in measuring market progress, enhanced techniques in attributing net energy impacts, and examining omitted program effects, particularly net non-energy benefits. The research involved a detailed literature review, interviews with program managers and evaluators across the US, and refinements of techniques used by the authors in conducting evaluation work. The object of the research was to uncover successful (and unsuccessful) approaches being used for key aspects of evaluation work. The research uncovered areas of tracking that are becoming more commonly used by agencies to assess progress in the market. In addition, detailed research by the authors on a number of impact and attribution evaluations have also led to recommendations on key practices that we believe comprise elements of best practices for assessments of attributable program effects. Specifically, we have identified a number of useful steps to improve the attribution of impacts to program interventions. Information on techniques for both attribution/causality work for a number of programs are presented - including market transformation programs that rely on marketing, advertising, training, and mid-stream incentives and work primarily with a network of participating mid-market actors. The project methods and results are presented and include: Theory-based evaluation, indicators, and hypothesis testing; Enhanced measurement of free riders, spillover, and other effects, and attribution of impacts using distribution and ranges of measure and intervention impacts, rather than less reliable point estimates; Attribution of program-induced non-energy benefits; Net to gross, benefit cost analysis, and incorporation of scenario/risk analysis of results; Comparison of net to gross results across program types to explore patterns and

Relating the Capabilities of the Handicapped to the Human Attribute Requirements of Jobs: Appendixes.

Science.gov (United States)

Ohio State Univ., Columbus. National Center for Research in Vocational Education.

Twenty-five appendixes from a study attempting to match capabilities of the handicapped to the human attribute requirements of three jobs (general secretary, automotive mechanic, and business data programmer) are presented. Appendixes include information on such topics as data analysis for identification of key tasks; job descriptions for the…

The attribute measurement technique

International Nuclear Information System (INIS)

MacArthur, Duncan W.; Langner, Diana; Smith, Morag; Thron, Jonathan; Razinkov, Sergey; Livke, Alexander

2010-01-01

Any verification measurement performed on potentially classified nuclear material must satisfy two seemingly contradictory constraints. First and foremost, no classified information can be released. At the same time, the monitoring party must have confidence in the veracity of the measurement. An information barrier (IB) is included in the measurement system to protect the potentially classified information while allowing sufficient information transfer to occur for the monitoring party to gain confidence that the material being measured is consistent with the host's declarations, concerning that material. The attribute measurement technique incorporates an IB and addresses both concerns by measuring several attributes of the nuclear material and displaying unclassified results through green (indicating that the material does possess the specified attribute) and red (indicating that the material does not possess the specified attribute) lights. The attribute measurement technique has been implemented in the AVNG, an attribute measuring system described in other presentations at this conference. In this presentation, we will discuss four techniques used in the AVNG: (1) the 1B, (2) the attribute measurement technique, (3) the use of open and secure modes to increase confidence in the displayed results, and (4) the joint design as a method for addressing both host and monitor needs.

Exploring Attribution Theory and Bias

Science.gov (United States)

Robinson, Jessica A.

2017-01-01

Courses: This activity can be used in a wide range of classes, including interpersonal communication, introduction to communication, and small group communication. Objectives: After completing this activity, students should be able to: (1) define attribution theory, personality attribution, situational attribution, and attribution bias; (2)…

Multiple Authorities Attribute-Based Verification Mechanism for Blockchain Mircogrid Transactions

Directory of Open Access Journals (Sweden)

Sarmadullah Khan

2018-05-01

Full Text Available Recently, advancements in energy distribution models have fulfilled the needs of microgrids in finding a suitable energy distribution model between producer and consumer without the need of central controlling authority. Most of the energy distribution model deals with energy transactions and losses without considering the security aspects such as information tampering. The transaction data could be accessible online to keep track of the energy distribution between the consumer and producer (e.g., online payment records and supplier profiles. However this data is prone to modification and misuse if a consumer moves from one producer to other. Blockchain is considered to be one solution to allow users to exchange energy related data and keep track of it without exposing it to modification. In this paper, electrical transactions embedded in blockchain are validated using the signatures of multiple producers based on their assigned attributes. These signatures are verified and endorsed by the consumers satisfying those attributes without revealing any information. The public and private keys for these consumers are generated by the producers and endorsement procedure using these keys ensures that these consumers are authorized. This approach does not need any central authority. To resist against collision attacks, producers are given a secret pseudorandom function seed. The comparative analysis shows the efficiency of proposed approach over the existing ones.

Cancers Attributable to Alcohol Consumption in Nigeria: 2012–2014

Directory of Open Access Journals (Sweden)

Michael Kolawole Odutola

2017-08-01

Full Text Available IntroductionAlcohol consumption has been identified as a risk factor for many cancers but less attention has been paid to the fraction of those cancers that are attributable to alcohol consumption. In this study, we evaluated the incidence and population attributable fraction (PAF of cancers associated with alcohol consumption in Nigeria.MethodsWe obtained data on incidence of cancers from two population-based cancer registries (PBCRs in Nigeria and identified cancer sites for which there is strong evidence of an association with alcohol consumption based on the International Agency for Research on Cancer Monograph 100E. We computed the PAF for each cancer site by age and sex, using prevalence and relative risk estimates from previous studies.ResultsBetween 2012 and 2014 study period, the PBCRs reported 4,336 cancer cases of which 1,627 occurred in males, and 2,709 occurred in females. Of these, a total of 1,808 cancer cases, 339 in males and 1,469 in females, were associated with alcohol intake. The age standardized incidence rate (ASR of alcohol associated cancers was 77.3 per 100,000. Only 4.3% (186/4,336 of all cancer cases or 10.3% (186/1,808 of alcohol associated cancers were attributable to alcohol consumption. Some 42.5% (79/186 of these cancers occurred in males while 57.5% (107/186 occurred in females. The ASR of cancers attributable to alcohol in this population was 7.2 per 100,000. The commonest cancers attributable to alcohol consumption were cancers of the oral cavity and pharynx in men and cancer of the breast in women.ConclusionOur study shows that 4.3% of incident cancers in Nigeria can be prevented by avoiding alcohol consumption. While the incidence of cancers associated with alcohol intake is high, the proportion attributable to alcohol consumption is much lower suggesting that the number of cancers that may be prevented by eliminating alcohol intake in this population is relatively low.

Using sensitivity analysis to identify key factors for the propagation of a plant epidemic.

Science.gov (United States)

Rimbaud, Loup; Bruchou, Claude; Dallot, Sylvie; Pleydell, David R J; Jacquot, Emmanuel; Soubeyrand, Samuel; Thébaud, Gaël

2018-01-01

Identifying the key factors underlying the spread of a disease is an essential but challenging prerequisite to design management strategies. To tackle this issue, we propose an approach based on sensitivity analyses of a spatiotemporal stochastic model simulating the spread of a plant epidemic. This work is motivated by the spread of sharka, caused by plum pox virus , in a real landscape. We first carried out a broad-range sensitivity analysis, ignoring any prior information on six epidemiological parameters, to assess their intrinsic influence on model behaviour. A second analysis benefited from the available knowledge on sharka epidemiology and was thus restricted to more realistic values. The broad-range analysis revealed that the mean duration of the latent period is the most influential parameter of the model, whereas the sharka-specific analysis uncovered the strong impact of the connectivity of the first infected orchard. In addition to demonstrating the interest of sensitivity analyses for a stochastic model, this study highlights the impact of variation ranges of target parameters on the outcome of a sensitivity analysis. With regard to sharka management, our results suggest that sharka surveillance may benefit from paying closer attention to highly connected patches whose infection could trigger serious epidemics.

Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)

Data.gov (United States)

U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures...

Determination of roasted pistachio (Pistacia vera L.) key odorants by headspace solid-phase microextraction and gas chromatography-olfactometry.

Science.gov (United States)

Aceña, Laura; Vera, Luciano; Guasch, Josep; Busto, Olga; Mestres, Montserrat

2011-03-23

Key odorants in roasted pistachio nuts have been determined for the first time. Two different pistachio varieties (Fandooghi and Kerman) have been analyzed by means of headspace solid-phase microextraction (HS-SPME) and gas chromatography-olfactometry (GCO). The aroma extract dilution analyses (AEDA) applied have revealed 46 and 41 odor-active regions with a flavor dilution (FD) factor≥64 for the Fandooghi and the Kerman varieties, respectively, and 39 of them were related to precisely identified compounds. These included esters, pyrazines, aldehydes, acids, furans, and phenols. The results show that the Fandooghi variety presents, not only more odor-active regions but also higher FD factors than the Kerman variety that can lead to the conclusion that the first variety has a richer aromatic profile than the second one. The descriptive sensory analysis (DSA) showed that the roasted, chocolate/coffee, and nutty attributes were rated significantly higher in the Fandooghi variety, whereas the green attribute was significantly higher in the Kerman one.

Primary attributions in women suffering fibromyalgia emphasize the perception of a disruptive onset for a long-lasting pain problem.

Science.gov (United States)

Cedraschi, Christine; Girard, Elodie; Luthy, Christophe; Kossovsky, Michel; Desmeules, Jules; Allaz, Anne-Françoise

2013-03-01

Fibromyalgia (FM) is a chronic musculoskeletal pain disorder characterized by widespread pain. This study focuses on patients' attributions of illness and of symptom onset. Semi-structured interviews were conducted with 56 women to elicit patients' views on what triggered their FM. The transcripts of the interviews were analyzed using a classical indexing technique to identify key themes. Content analysis was performed by two independent coders. Primary causal attributions fell into five categories: psychological problems (28 respondents); somatic concerns (N=12); violence/abuse during childhood (N=7), gynaecological/obstetrical problems (N=6), and fatigue (N=3). Patients' attributions were internal and external in the same proportions, more frequently unstable than stable, and more often described uncontrollable than controllable. Participants expressed decrements in self-esteem and feelings such as self-blame or despair; global perceptions of persistent pain and long-lasting problems, evoking chronicity and hopelessness; and low perceived control over their lives as well as beliefs that nothing can be done, thus increasing a feeling of guilt and vulnerability. Patients' narratives emphasized disruptive circumstances surrounding symptom onset. Attributions often referred to the psychological dimension of the events surrounding FM onset, even though some of them also had a clear somatic dimension. Many narratives mentioned successive disruptive events and suggested an increasing loss of control. Addressing these illness representations may contribute to tailor the treatment and to help patients gain self-coherency by providing means to understand pain onset but also to guide future behaviours, particularly in terms of adjustment and help-seeking. Copyright © 2013 Elsevier Inc. All rights reserved.

Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)

Data.gov (United States)

U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette...

Operational Forces soldiers’ perceptions of attributes and skills for career success

Directory of Open Access Journals (Sweden)

Ishreen Rawoot

2017-07-01

Full Text Available Orientation: A career within the South African Operational Forces is physically, mentally and emotionally challenging. It is a diverse working environment with its own organisational culture and unique challenges. Research purpose: The aim of the study was to explore the perceptions of Operational Forces soldiers regarding the unique requirements that facilitated their career success. Motivation for the study: A low percentage of candidates successfully complete the Operational Forces training. The financial implications of training candidates make it important to be able to identify candidates who have the potential to be successful, early on in the process. Research design, approach and method: Data were collected through a self-administered qualitative survey (n = 98. All participants were permanent Operational Forces soldiers with varying ranks and years of experience. The data were thematically analysed in order to identify themes and specific attributes and skills associated with a successful career in the Operational Forces. Main findings: A number of themes emerged from the data, each of which contributed to our understanding of the research question. The themes included self-concept, personality, interests, cognitive and physical factors. Practical and managerial implications: The research findings may help to inform decisions about approaches, practices and methodologies of the South African Operational Forces recruitment and selection process. Results also provide military organisations with the key characteristics to consider when identifying candidates with the highest potential for successful careers. Contribution and value-add: The study extends previous career success research by contributing an additional base of information regarding career success and factors that are perceived to influence it.

Key personality traits of sales managers.

Science.gov (United States)

Lounsbury, John W; Foster, Nancy A; Levy, Jacob J; Gibson, Lucy W

2014-01-01

Sales managers are crucial for producing positive sales outcomes for companies. However, there has been a relative dearth of scholarly investigations into the personal attributes of sales managers. Such information could prove important in the recruitment, selection, training needs identification, career planning, counseling, and development of sales managers. Drawing on Holland's vocational theory, we sought to identify key personality traits that distinguish sales managers from other occupations and are related to their career satisfaction. The main sample was comprised of a total of 978 sales managers employed in a large number of companies across the United States (along with a comparison sample drawn from 79,512 individuals from other professional occupations). Participants completed an online version of Resource Associates' Personal Style Inventory as well a measure of career satisfaction. Our sample of 978 sales managers had higher levels of Assertiveness, Customer Service Orientation, Extraversion, Image Management, Optimism, and Visionary Style; and lower levels of Conscientiousness, Agreeableness, Intrinsic Motivation, Openness, and Tough-Mindedness than a sample of 79,512 individuals in a variety of other occupations. Nine of these traits were significantly correlated with sales managers' career satisfaction. Based on the results, a psychological profile of sales managers was presented as were implications for their recruitment, selection, training, development, and mentoring.

Weakly supervised visual dictionary learning by harnessing image attributes.

Science.gov (United States)

Gao, Yue; Ji, Rongrong; Liu, Wei; Dai, Qionghai; Hua, Gang

2014-12-01

Bag-of-features (BoFs) representation has been extensively applied to deal with various computer vision applications. To extract discriminative and descriptive BoF, one important step is to learn a good dictionary to minimize the quantization loss between local features and codewords. While most existing visual dictionary learning approaches are engaged with unsupervised feature quantization, the latest trend has turned to supervised learning by harnessing the semantic labels of images or regions. However, such labels are typically too expensive to acquire, which restricts the scalability of supervised dictionary learning approaches. In this paper, we propose to leverage image attributes to weakly supervise the dictionary learning procedure without requiring any actual labels. As a key contribution, our approach establishes a generative hidden Markov random field (HMRF), which models the quantized codewords as the observed states and the image attributes as the hidden states, respectively. Dictionary learning is then performed by supervised grouping the observed states, where the supervised information is stemmed from the hidden states of the HMRF. In such a way, the proposed dictionary learning approach incorporates the image attributes to learn a semantic-preserving BoF representation without any genuine supervision. Experiments in large-scale image retrieval and classification tasks corroborate that our approach significantly outperforms the state-of-the-art unsupervised dictionary learning approaches.

Identifying key factors and strategies for reducing industrial CO2 emissions from a non-Kyoto protocol member's (Taiwan) perspective

International Nuclear Information System (INIS)

Lin, Sue J.; Lu, I.J.; Lewis, Charles

2006-01-01

In this study we use Divisia index approach to identify key factors affecting CO 2 emission changes of industrial sectors in Taiwan. The changes of CO 2 emission are decomposed into emission coefficient, energy intensity, industrial structure and economic growth. Furthermore, comparisons with USA, Japan, Germany, the Netherlands and South Korea are made to have a better understanding of emission tendency in these countries and to help formulate our CO 2 reduction strategies for responding to the international calls for CO 2 cuts. The results show that economic growth and high energy intensity were two key factors for the rapid increase of industrial CO 2 emission in Taiwan, while adjustment of industrial structure was the main component for the decrease. Although economic development is important, Taiwan must keep pace with the international trends for CO 2 reduction. Among the most important strategies are continuous efforts to improve energy intensity, fuel mix toward lower carbon, setting targets for industrial CO 2 cuts, and advancing green technology through technology transfer. Also, the clean development mechanism (CDM) is expected to play an important role in the future

Constructing the informatics and information technology foundations of a medical device evaluation system: a report from the FDA unique device identifier demonstration.

Science.gov (United States)

Drozda, Joseph P; Roach, James; Forsyth, Thomas; Helmering, Paul; Dummitt, Benjamin; Tcheng, James E

2018-02-01

The US Food and Drug Administration (FDA) has recognized the need to improve the tracking of medical device safety and performance, with implementation of Unique Device Identifiers (UDIs) in electronic health information as a key strategy. The FDA funded a demonstration by Mercy Health wherein prototype UDIs were incorporated into its electronic information systems. This report describes the demonstration's informatics architecture. Prototype UDIs for coronary stents were created and implemented across a series of information systems, resulting in UDI-associated data flow from manufacture through point of use to long-term follow-up, with barcode scanning linking clinical data with UDI-associated device attributes. A reference database containing device attributes and the UDI Research and Surveillance Database (UDIR) containing the linked clinical and device information were created, enabling longitudinal assessment of device performance. The demonstration included many stakeholders: multiple Mercy departments, manufacturers, health system partners, the FDA, professional societies, the National Cardiovascular Data Registry, and information system vendors. The resulting system of systems is described in detail, including entities, functions, linkage between the UDIR and proprietary systems using UDIs as the index key, data flow, roles and responsibilities of actors, and the UDIR data model. The demonstration provided proof of concept that UDIs can be incorporated into provider and enterprise electronic information systems and used as the index key to combine device and clinical data in a database useful for device evaluation. Keys to success and challenges to achieving this goal were identified. Fundamental informatics principles were central to accomplishing the system of systems model. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Image encryption using fingerprint as key based on phase retrieval algorithm and public key cryptography

Science.gov (United States)

Zhao, Tieyu; Ran, Qiwen; Yuan, Lin; Chi, Yingying; Ma, Jing

2015-09-01

In this paper, a novel image encryption system with fingerprint used as a secret key is proposed based on the phase retrieval algorithm and RSA public key algorithm. In the system, the encryption keys include the fingerprint and the public key of RSA algorithm, while the decryption keys are the fingerprint and the private key of RSA algorithm. If the users share the fingerprint, then the system will meet the basic agreement of asymmetric cryptography. The system is also applicable for the information authentication. The fingerprint as secret key is used in both the encryption and decryption processes so that the receiver can identify the authenticity of the ciphertext by using the fingerprint in decryption process. Finally, the simulation results show the validity of the encryption scheme and the high robustness against attacks based on the phase retrieval technique.

Terrain feature recognition for synthetic aperture radar (SAR) imagery employing spatial attributes of targets

Science.gov (United States)

Iisaka, Joji; Sakurai-Amano, Takako

1994-08-01

This paper describes an integrated approach to terrain feature detection and several methods to estimate spatial information from SAR (synthetic aperture radar) imagery. Spatial information of image features as well as spatial association are key elements in terrain feature detection. After applying a small feature preserving despeckling operation, spatial information such as edginess, texture (smoothness), region-likeliness and line-likeness of objects, target sizes, and target shapes were estimated. Then a trapezoid shape fuzzy membership function was assigned to each spatial feature attribute. Fuzzy classification logic was employed to detect terrain features. Terrain features such as urban areas, mountain ridges, lakes and other water bodies as well as vegetated areas were successfully identified from a sub-image of a JERS-1 SAR image. In the course of shape analysis, a quantitative method was developed to classify spatial patterns by expanding a spatial pattern through the use of a series of pattern primitives.

Salmonella Source Attribution in Japan by a Microbiological Subtyping Approach

DEFF Research Database (Denmark)

Toyofuku, Hajime; Pires, Sara Monteiro; Hald, Tine

2011-01-01

In order to estimate the number of human Salmonella infections attributable to each of major animal-food source, and help identifying the best Salmonella intervention strategies, a microbial subtyping approach for source attribution was applied. We adapted a Bayesian model that attributes illnesses......-food sources, subtype-related factors, and source-related factors. National-surveillance serotyping data from 1998 to 2007 were applied to the model. Results suggested that the relative contribution of the sources to salmonellosis varied during the 10 year period, and that eggs are the most important source...... to specific sources and allows for the estimation of the differences in the ability of Salmonella subtypes and food types to result in reported salmonellosis. The number of human cases caused by different Salmonella subtypes is estimated as a function of the prevalence of these subtypes in the animal...

Attribution style, theory and empirical findings

OpenAIRE

Krohn, Charlotte

2017-01-01

Master i læring i komplekse systemer Attribution theory is a long-standing and widely discussed theory that addresses individuals’ explanation of causes of events. People attribute events of success and failure individually. Previous studies indicate that performance in sporting events may be improved by changing individuals’ attribution style. Article one describes attribution and attribution theory as state of the art. The article addresses the most important findings within attribution ...

Worldwide burden of cancer attributable to HPV by site, country and HPV type

Science.gov (United States)

Plummer, Martyn; Vignat, Jerome; Franceschi, Silvia

2017-01-01

HPV is the cause of almost all cervical cancer and is responsible for a substantial fraction of other anogenital cancers and oropharyngeal cancers. Understanding the HPV‐attributable cancer burden can boost programs of HPV vaccination and HPV‐based cervical screening. Attributable fractions (AFs) and the relative contributions of different HPV types were derived from published studies reporting on the prevalence of transforming HPV infection in cancer tissue. Maps of age‐standardized incidence rates of HPV‐attributable cancers by country from GLOBOCAN 2012 data are shown separately for the cervix, other anogenital tract and head and neck cancers. The relative contribution of HPV16/18 and HPV6/11/16/18/31/33/45/52/58 was also estimated. 4.5% of all cancers worldwide (630,000 new cancer cases per year) are attributable to HPV: 8.6% in women and 0.8% in men. AF in women ranges from 20% in India and sub‐Saharan Africa. Cervix accounts for 83% of HPV‐attributable cancer, two‐thirds of which occur in less developed countries. Other HPV‐attributable anogenital cancer includes 8,500 vulva; 12,000 vagina; 35,000 anus (half occurring in men) and 13,000 penis. In the head and neck, HPV‐attributable cancers represent 38,000 cases of which 21,000 are oropharyngeal cancers occurring in more developed countries. The relative contributions of HPV16/18 and HPV6/11/16/18/31/33/45/52/58 are 73% and 90%, respectively. Universal access to vaccination is the key to avoiding most cases of HPV‐attributable cancer. The preponderant burden of HPV16/18 and the possibility of cross‐protection emphasize the importance of the introduction of more affordable vaccines in less developed countries. PMID:28369882

Proposed system for measuring project performance using process-based key performance indicators

NARCIS (Netherlands)

Haponava, T.; Al-Jibouri, Saad H.S.

2012-01-01

Despite some evidence of its usefulness, performance measurement by using Key Performance Indicators (KPIs) in the construction industry also has its critics. Among the shortcomings attributed to existing KPIs is the fact that almost all of them are product oriented. This means that the indicators

A novel selection method of seismic attributes based on gray relational degree and support vector machine.

Directory of Open Access Journals (Sweden)

Yaping Huang

Full Text Available The selection of seismic attributes is a key process in reservoir prediction because the prediction accuracy relies on the reliability and credibility of the seismic attributes. However, effective selection method for useful seismic attributes is still a challenge. This paper presents a novel selection method of seismic attributes for reservoir prediction based on the gray relational degree (GRD and support vector machine (SVM. The proposed method has a two-hierarchical structure. In the first hierarchy, the primary selection of seismic attributes is achieved by calculating the GRD between seismic attributes and reservoir parameters, and the GRD between the seismic attributes. The principle of the primary selection is that these seismic attributes with higher GRD to the reservoir parameters will have smaller GRD between themselves as compared to those with lower GRD to the reservoir parameters. Then the SVM is employed in the second hierarchy to perform an interactive error verification using training samples for the purpose of determining the final seismic attributes. A real-world case study was conducted to evaluate the proposed GRD-SVM method. Reliable seismic attributes were selected to predict the coalbed methane (CBM content in southern Qinshui basin, China. In the analysis, the instantaneous amplitude, instantaneous bandwidth, instantaneous frequency, and minimum negative curvature were selected, and the predicted CBM content was fundamentally consistent with the measured CBM content. This real-world case study demonstrates that the proposed method is able to effectively select seismic attributes, and improve the prediction accuracy. Thus, the proposed GRD-SVM method can be used for the selection of seismic attributes in practice.

Microstructural Correlates of Emotional Attribution Impairment in Non-Demented Patients with Amyotrophic Lateral Sclerosis.

Science.gov (United States)

Crespi, Chiara; Cerami, Chiara; Dodich, Alessandra; Canessa, Nicola; Iannaccone, Sandro; Corbo, Massimo; Lunetta, Christian; Falini, Andrea; Cappa, Stefano F

2016-01-01

Impairments in the ability to recognize and attribute emotional states to others have been described in amyotrophic lateral sclerosis patients and linked to the dysfunction of key nodes of the emotional empathy network. Microstructural correlates of such disorders are still unexplored. We investigated the white-matter substrates of emotional attribution deficits in a sample of amyotrophic lateral sclerosis patients without cognitive decline. Thirteen individuals with either probable or definite amyotrophic lateral sclerosis and 14 healthy controls were enrolled in a Diffusion Tensor Imaging study and administered the Story-based Empathy Task, assessing the ability to attribute mental states to others (i.e., Intention and Emotion attribution conditions). As already reported, a significant global reduction of empathic skills, mainly driven by a failure in Emotion Attribution condition, was found in amyotrophic lateral sclerosis patients compared to healthy subjects. The severity of this deficit was significantly correlated with fractional anisotropy along the forceps minor, genu of corpus callosum, right uncinate and inferior fronto-occipital fasciculi. The involvement of frontal commissural fiber tracts and right ventral associative fronto-limbic pathways is the microstructural hallmark of the impairment of high-order processing of socio-emotional stimuli in amyotrophic lateral sclerosis. These results support the notion of the neurofunctional and neuroanatomical continuum between amyotrophic lateral sclerosis and frontotemporal dementia.

Analyze This! Thematic Analysis: Hostility, Attribution of Intent, and Interpersonal Perception Bias.

Science.gov (United States)

Karadenizova, Zhana; Dahle, Klaus-Peter

2017-11-01

Research suggests that aggressive individuals exhibit a strong tendency to attribute hostile intent to the behavior of others when confronted with an ambiguous social situation. The vignettes method has become a standard procedure to assess hostile attributions. Vignettes represent incomplete ambiguous social stories, in which the subjects experience a negative outcome and are asked to attribute intent to the provocateur's action. This article explores the ways in which subjects perceive ambiguous social situations and other people's intentions, their tendency to refer negative outcome to oneself, and the components defining hostility in the interpersonal relationships. The sample consisted of male adolescent violent offenders ( N = 45) recruited from the Social Therapy Department of the German correctional facility for juvenile offenders in Berlin. All offenders were incarcerated for a violent or sexual crime and were currently undergoing individual and group psychotherapy. The five hypothetical vignettes used in this study were originally designed to assess hostile attributions in both institutional and noninstitutional social situations. Participants' responses were analyzed using thematic analysis. Thematic analysis revealed three key themes regarding the social perception-positive, negative, and neutral-and two themes regarding the components of hostility-provocateur-related personality features and relationship type. Although the vignettes were originally developed to detect hostility-prone perception bias, they seem to be able to reveal a wider set of different attributions of intent, both positive and negative. Thus, vignettes are not limited to assessment of hostility specifically. They much rather seem to be a measure which is sensitive to diverse attributions of intent in general. The diagnostic qualities of the vignettes, their area of application, limitations of the study, and future perspective are discussed.

A comparison of five elicitation techniques for elicitation of attributes of low involvement products

DEFF Research Database (Denmark)

Bech-Larsen, Tino; Nielsen, Niels Asger

1999-01-01

of dimensions directed from theories of consumer buying behaviour. Although a number of differences between the techniques are identified in the study, the main findings are that the robustness of the different techniques for attribute elicitation is considerable Udgivelsesdato: JUN......The critical first step for most instruments used in analysing consumer choice and motivation is the identification of product attributes which are important to the consumer and for which there are differences among the available product alternatives. A number of techniques, ranging from...... the complex elicitation of idiosyncratic attributes or simpler picking procedures, has been developed to elicitate such attributes. The purpose of the study presented here is to com-pare attributes of a low involvement product, viz. vegetable oil, elicited by five different techniques on a number...

Non-academic attributes of hidden curriculum in medical schools.

Science.gov (United States)

Khan, Aamer Zaman

2013-01-01

To identify the non-academic attributes developed during 5 years of training in medical school. Sequential mixed method. The study was conducted on final year medical students of four medical colleges in the city of Lahore, from March to September 2010. Probability random sampling was employed to identify public sector medical colleges for inclusion in the study through Lottery method. In the first phase, survey was done with the help of questionnaires, distributed amongst 280 students, selected on the basis of convenience sampling. It was triangulated with data collected by in-depth structured interviews on 46 students selected using purposive sampling after formal informed consent. For quantitative data percentages of the categorical variables were calculated through SPSS version 10. For qualitative data, themes and patterns were identified using Content Analysis technique. Majority of the medical students (80%) learn the attributes of integrity, self-reliance, tolerance and independence during their schooling. Sixty five percent students thought that the values of humanity, forbearance, righteous attitude in face of adversities and sympathetic behaviour towards peers and patients helped them in being better medical students. Thirty five percent said they faced the negative influences of gender bias and gender discrimination which has led to their impaired professional growth. Eighty percent of the students believe that the teaching methodology employed is teacher centric which does not let them become problem solvers, team players, reflective learners and hampers development of effective communication skills. Medical schooling in our part of the world helps in developing untaught attributes such as integrity, selfreliance, tolerance, independence, sympathetic attitude and good communication skills which are the same as are developed in the medical students of advanced countries, which can be fostered further by formally addressing them in the curriculum.

Identifying key nodes in multilayer networks based on tensor decomposition.

Science.gov (United States)

Wang, Dingjie; Wang, Haitao; Zou, Xiufen

2017-06-01

The identification of essential agents in multilayer networks characterized by different types of interactions is a crucial and challenging topic, one that is essential for understanding the topological structure and dynamic processes of multilayer networks. In this paper, we use the fourth-order tensor to represent multilayer networks and propose a novel method to identify essential nodes based on CANDECOMP/PARAFAC (CP) tensor decomposition, referred to as the EDCPTD centrality. This method is based on the perspective of multilayer networked structures, which integrate the information of edges among nodes and links between different layers to quantify the importance of nodes in multilayer networks. Three real-world multilayer biological networks are used to evaluate the performance of the EDCPTD centrality. The bar chart and ROC curves of these multilayer networks indicate that the proposed approach is a good alternative index to identify real important nodes. Meanwhile, by comparing the behavior of both the proposed method and the aggregated single-layer methods, we demonstrate that neglecting the multiple relationships between nodes may lead to incorrect identification of the most versatile nodes. Furthermore, the Gene Ontology functional annotation demonstrates that the identified top nodes based on the proposed approach play a significant role in many vital biological processes. Finally, we have implemented many centrality methods of multilayer networks (including our method and the published methods) and created a visual software based on the MATLAB GUI, called ENMNFinder, which can be used by other researchers.

Cluster Based Vector Attribute Filtering

NARCIS (Netherlands)

Kiwanuka, Fred N.; Wilkinson, Michael H.F.

2016-01-01

Morphological attribute filters operate on images based on properties or attributes of connected components. Until recently, attribute filtering was based on a single global threshold on a scalar property to remove or retain objects. A single threshold struggles in case no single property or

Alberta Consumers' Valuation of Extrinsic and Intrinsic Red Meat Attributes

DEFF Research Database (Denmark)

Steiner, Bodo; Gao, Fei; Unterschultz, Jim

2010-01-01

This paper analyzes Alberta consumers’ perceptions toward extrinsic and intrinsic attributes of bison and beef steaks. In contrast to published Canadian consumer studies on bison meat that were undertaken prior to May 2003, before the first BSE case of Canadian origin was identified in beef cattle...

Attributes of a research environment that contribute to excellent research and development

Energy Technology Data Exchange (ETDEWEB)

G. B. Jordan; L. D. Streit; J. S. Binkley

1999-04-01

This paper presents initial work at two U. S. Department of Energy (DOE) national laboratories to identify attributes of DOE Laboratory research environments that are most important for fostering excellent research.

Identifying key performance indicators in food technology contract R&D

NARCIS (Netherlands)

Flipse, S.M.; Sanden, van der M.C.A.; Velden, van der T.; Fortuin, F.T.J.M.; Omta, S.W.F.; Osseweijer, P.

2013-01-01

Innovating companies increasingly rely on outsourcing to Contract Research Organisations (CROs) for their Research and Development (R&D), which are largely understudied. This paper presents the outcome of a case study in the field of food technology contract research, identifying context

Belief attribution despite verbal interference.

Science.gov (United States)

Forgeot d'Arc, Baudouin; Ramus, Franck

2011-05-01

False-belief (FB) tasks have been widely used to study the ability of individuals to represent the content of their conspecifics' mental states (theory of mind). However, the cognitive processes involved are still poorly understood, and it remains particularly debated whether language and inner speech are necessary for the attribution of beliefs to other agents. We present a completely nonverbal paradigm consisting of silent animated cartoons in five closely related conditions, systematically teasing apart different aspects of scene analysis and allowing the assessment of the attribution of beliefs, goals, and physical causation. In order to test the role of language in belief attribution, we used verbal shadowing as a dual task to inhibit inner speech. Data on 58 healthy adults indicate that verbal interference decreases overall performance, but has no specific effect on belief attribution. Participants remained able to attribute beliefs despite heavy concurrent demands on their verbal abilities. Our results are most consistent with the hypothesis that belief attribution is independent from inner speech.

Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution.

Science.gov (United States)

Honor, Leah B; Haselgrove, Christian; Frazier, Jean A; Kennedy, David N

2016-01-01

Data sharing and reuse, while widely accepted as good ideas, have been slow to catch on in any concrete and consistent way. One major hurdle within the scientific community has been the lack of widely accepted standards for citing that data, making it difficult to track usage and measure impact. Within the neuroimaging community, there is a need for a way to not only clearly identify and cite datasets, but also to derive new aggregate sets from multiple sources while clearly maintaining lines of attribution. This work presents a functional prototype of a system to integrate Digital Object Identifiers (DOI) and a standardized metadata schema into a XNAT-based repository workflow, allowing for identification of data at both the project and image level. These item and source level identifiers allow any newly defined combination of images, from any number of projects, to be tagged with a new group-level DOI that automatically inherits the individual attributes and provenance information of its constituent parts. This system enables the tracking of data reuse down to the level of individual images. The implementation of this type of data identification system would impact researchers and data creators, data hosting facilities, and data publishers, but the benefit of having widely accepted standards for data identification and attribution would go far toward making data citation practical and advantageous.

Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution

Directory of Open Access Journals (Sweden)

Leah B. Honor

2016-08-01

Full Text Available Data sharing and reuse, while widely accepted as good ideas, have been slow to catch on in any concrete and consistent way. One major hurdle within the scientific community has been the lack of widely accepted standards for citing that data, making it difficult to track usage and measure impact. Within the neuroimaging community, there is a need for a way to not only clearly identify and cite datasets, but also to derive new aggregate sets from multiple sources, while clearly maintaining lines of attribution. This work presents a functional prototype of a system to integrate Digital Object Identifiers (DOI and a standardized metadata schema into a XNAT-based repository workflow, allowing for identification of data at both the project and image level. These item and source level identifiers allow any newly defined combination of images, from any number of projects, to be tagged with a new group-level DOI that automatically inherits the individual attributes and provenance information of its constituent parts. This system enables the tracking of data reuse, down to the level of individual images. The implementation of this type of data identification system would impact researchers and data creators, data hosting facilities, and data publishers, but the benefit of having widely accepted standards for data identification and attribution would go far towards making data citation practical and advantageous.

An assessment of key health indicators among emergency medical services professionals.

Science.gov (United States)

Studnek, Jonathan R; Bentley, Melissa; Crawford, J Mac; Fernandez, Antonio R

2010-01-01

Ensuring the health and productivity of emergency medical services (EMS) professionals is important. However, there has been no known national baseline assessment of the health and wellness of EMS professionals in the United States. According to Healthy People 2010, top indicators of personal health include physical activity, body mass index (BMI), and smoking prevalence. The objectives of this study included quantifying existing health conditions and describing key health indicators among EMS professionals. It was hypothesized that work-life characteristics were associated with existing health conditions and key health indicators. Data utilized for this analysis were obtained from a 2007 questionnaire included in biennial national recertification packets. This questionnaire utilized validated items from the Behavioral Risk Factor Surveillance System (BRFSS) and the Longitudinal EMT Attributes and Demographics Study (LEADS). Along with common demographic characteristics, items inquired about existing health conditions (diabetes, asthma, hypertension, myocardial infarction, angina, stroke, and/or high blood cholesterol level), general health, physical activity, and smoking status. Descriptive analyses were performed utilizing chi-square tests, and logistic regression was utilized to describe associations between existing health conditions and the key health indicators. There were 58,435 individuals who became recertified in 2007, with 30,560 (52%) returning questionnaires. Individuals with missing data were removed, leaving 19,960 individual records. There were 4,681 (23.5%) individuals who reported at least one existing health condition. The mean BMI for the study participants was 27.69 kg/m(2). There were 5,742 (28.8%) individuals classified as having normal weight and 5,146 (25.8%) who were obese. The overwhelming majority of individuals did not meet the Centers for Disease Control and Prevention (CDC) recommendations for physical activity (15,022, 75.3%). There

Evolutionary Influences on Attribution and Affect

Directory of Open Access Journals (Sweden)

Jennie Brown

2017-12-01

Full Text Available Evolutionary theory was applied to Reeder and Brewer's schematic theory and Trafimow's affect theory to extend this area of research with five new predictions involving affect and ability attributions, comparing morality and ability attributions, gender differences, and reaction times for affect and attribution ratings. The design included a 2 (Trait Dimension Type: HR, PR × 2 (Behavior Type: morality, ability × 2 (Valence: positive, negative × 2 (Replication: original, replication × 2 (Sex: female or male actor × 2 (Gender: female or male participant × 2 (Order: attribution portion first, affect portion first mixed design. All factors were within participants except the order and participant gender. Participants were presented with 32 different scenarios in which an actor engaged in a concrete behavior after which they made attributions and rated their affect in response to the behavior. Reaction times were measured during attribution and affect ratings. In general, the findings from the experiment supported the new predictions. Affect was related to attributions for both morality and ability related behaviors. Morality related behaviors received more extreme attribution and affect ratings than ability related behaviors. Female actors received stronger attribution and affect ratings for diagnostic morality behaviors compared to male actors. Male and female actors received similar attribution and affect ratings for diagnostic ability behaviors. Diagnostic behaviors were associated with lower reaction times than non-diagnostic behaviors. These findings demonstrate the utility of evolutionary theory in creating new hypotheses and empirical findings in the domain of attribution.

Destination India: Investigating the impact of Goa's attributes on families' leisure travel experience

OpenAIRE

Ekiz, Erdogan H.; Khoo-Lattimore, Catheryn

2014-01-01

The recent discourse of tourism development among officials within the Government of India has included the state of Goa, mainly because it has consistently witnessed positive economic impacts from tourism. However, in view of competition from other destinations, Goan tourism planners will need to identify important attributes of Goa that will positively affect tourists' destination loyalty. This study examines the correlation between five attributes of Goa and tourists' loyalty to Goa. Famil...

The WOMBAT Attack Attribution Method: Some Results

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Dacier, Marc; Pham, Van-Hau; Thonnard, Olivier

In this paper, we present a new attack attribution method that has been developed within the WOMBAT project. We illustrate the method with some real-world results obtained when applying it to almost two years of attack traces collected by low interaction honeypots. This analytical method aims at identifying large scale attack phenomena composed of IP sources that are linked to the same root cause. All malicious sources involved in a same phenomenon constitute what we call a Misbehaving Cloud (MC). The paper offers an overview of the various steps the method goes through to identify these clouds, providing pointers to external references for more detailed information. Four instances of misbehaving clouds are then described in some more depth to demonstrate the meaningfulness of the concept.

Identifying Key Issues and Potential Solutions for Integrated Arrival, Departure, Surface Operations by Surveying Stakeholder Preferences

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Aponso, Bimal; Coppenbarger, Richard A.; Jung, Yoon; Quon, Leighton; Lohr, Gary; O’Connor, Neil; Engelland, Shawn

2015-01-01

predictability and suggested several key attributes that were necessary to make the concept successful. The goals and objectives of the planned ATD-2 sub-project will incorporate the results of this stakeholder feedback.

On the nonlinearity of spatial scales in extreme weather attribution statements

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Angélil, Oliver; Stone, Daíthí; Perkins-Kirkpatrick, Sarah; Alexander, Lisa V.; Wehner, Michael; Shiogama, Hideo; Wolski, Piotr; Ciavarella, Andrew; Christidis, Nikolaos

2018-04-01

In the context of ongoing climate change, extreme weather events are drawing increasing attention from the public and news media. A question often asked is how the likelihood of extremes might have changed by anthropogenic greenhouse-gas emissions. Answers to the question are strongly influenced by the model used, duration, spatial extent, and geographic location of the event—some of these factors often overlooked. Using output from four global climate models, we provide attribution statements characterised by a change in probability of occurrence due to anthropogenic greenhouse-gas emissions, for rainfall and temperature extremes occurring at seven discretised spatial scales and three temporal scales. An understanding of the sensitivity of attribution statements to a range of spatial and temporal scales of extremes allows for the scaling of attribution statements, rendering them relevant to other extremes having similar but non-identical characteristics. This is a procedure simple enough to approximate timely estimates of the anthropogenic contribution to the event probability. Furthermore, since real extremes do not have well-defined physical borders, scaling can help quantify uncertainty around attribution results due to uncertainty around the event definition. Results suggest that the sensitivity of attribution statements to spatial scale is similar across models and that the sensitivity of attribution statements to the model used is often greater than the sensitivity to a doubling or halving of the spatial scale of the event. The use of a range of spatial scales allows us to identify a nonlinear relationship between the spatial scale of the event studied and the attribution statement.

In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer

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Colaprico, Antonio; Bontempi, Gianluca; Castiglioni, Isabella

2018-01-01

Like other cancer diseases, prostate cancer (PC) is caused by the accumulation of genetic alterations in the cells that drives malignant growth. These alterations are revealed by gene profiling and copy number alteration (CNA) analysis. Moreover, recent evidence suggests that also microRNAs have an important role in PC development. Despite efforts to profile PC, the alterations (gene, CNA, and miRNA) and biological processes that correlate with disease development and progression remain partially elusive. Many gene signatures proposed as diagnostic or prognostic tools in cancer poorly overlap. The identification of co-expressed genes, that are functionally related, can identify a core network of genes associated with PC with a better reproducibility. By combining different approaches, including the integration of mRNA expression profiles, CNAs, and miRNA expression levels, we identified a gene signature of four genes overlapping with other published gene signatures and able to distinguish, in silico, high Gleason-scored PC from normal human tissue, which was further enriched to 19 genes by gene co-expression analysis. From the analysis of miRNAs possibly regulating this network, we found that hsa-miR-153 was highly connected to the genes in the network. Our results identify a four-gene signature with diagnostic and prognostic value in PC and suggest an interesting gene network that could play a key regulatory role in PC development and progression. Furthermore, hsa-miR-153, controlling this network, could be a potential biomarker for theranostics in high Gleason-scored PC. PMID:29562723

Microstructural Correlates of Emotional Attribution Impairment in Non-Demented Patients with Amyotrophic Lateral Sclerosis.

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Chiara Crespi

Full Text Available Impairments in the ability to recognize and attribute emotional states to others have been described in amyotrophic lateral sclerosis patients and linked to the dysfunction of key nodes of the emotional empathy network. Microstructural correlates of such disorders are still unexplored. We investigated the white-matter substrates of emotional attribution deficits in a sample of amyotrophic lateral sclerosis patients without cognitive decline. Thirteen individuals with either probable or definite amyotrophic lateral sclerosis and 14 healthy controls were enrolled in a Diffusion Tensor Imaging study and administered the Story-based Empathy Task, assessing the ability to attribute mental states to others (i.e., Intention and Emotion attribution conditions. As already reported, a significant global reduction of empathic skills, mainly driven by a failure in Emotion Attribution condition, was found in amyotrophic lateral sclerosis patients compared to healthy subjects. The severity of this deficit was significantly correlated with fractional anisotropy along the forceps minor, genu of corpus callosum, right uncinate and inferior fronto-occipital fasciculi. The involvement of frontal commissural fiber tracts and right ventral associative fronto-limbic pathways is the microstructural hallmark of the impairment of high-order processing of socio-emotional stimuli in amyotrophic lateral sclerosis. These results support the notion of the neurofunctional and neuroanatomical continuum between amyotrophic lateral sclerosis and frontotemporal dementia.

Emotional attribution of 6th grade students in Physical Education and Health

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Felipe Nicolás Mujica Johnson

2016-12-01

Full Text Available This research aims to determine the causal attribution of emotions in sixth grade primary school children in a process of development of physical condition in the classes of Physical Education and Health. The study is qualitative, descriptive and with a design of action research. The participants are thirty students in the age range between eleven to thirteen years old. The results indicate that students attribute their positive emotions to the fatigue overcoming, to the achievement of goals, to body benefits and to the entertainment with session activities. As for the negative emotions, these are attributed to expectations, pessimistic thinking, ridicule, envy, and health problems, physical inactivity, the academic consequences and lack of achievement of goals in the overcoming of the physical condition. In conclusion, the identified emotional attributions must be understood from the teaching work, to encourage the creation of learning strategies that promote subjective well-being and development of active lifestyle habits from a psychosocial perspective.

Attribute-based proxy re-encryption with keyword search.

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Shi, Yanfeng; Liu, Jiqiang; Han, Zhen; Zheng, Qingji; Zhang, Rui; Qiu, Shuo

2014-01-01

Keyword search on encrypted data allows one to issue the search token and conduct search operations on encrypted data while still preserving keyword privacy. In the present paper, we consider the keyword search problem further and introduce a novel notion called attribute-based proxy re-encryption with keyword search (ABRKS), which introduces a promising feature: In addition to supporting keyword search on encrypted data, it enables data owners to delegate the keyword search capability to some other data users complying with the specific access control policy. To be specific, ABRKS allows (i) the data owner to outsource his encrypted data to the cloud and then ask the cloud to conduct keyword search on outsourced encrypted data with the given search token, and (ii) the data owner to delegate other data users keyword search capability in the fine-grained access control manner through allowing the cloud to re-encrypted stored encrypted data with a re-encrypted data (embedding with some form of access control policy). We formalize the syntax and security definitions for ABRKS, and propose two concrete constructions for ABRKS: key-policy ABRKS and ciphertext-policy ABRKS. In the nutshell, our constructions can be treated as the integration of technologies in the fields of attribute-based cryptography and proxy re-encryption cryptography.

Attribute-Based Proxy Re-Encryption with Keyword Search

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Shi, Yanfeng; Liu, Jiqiang; Han, Zhen; Zheng, Qingji; Zhang, Rui; Qiu, Shuo

2014-01-01

Keyword search on encrypted data allows one to issue the search token and conduct search operations on encrypted data while still preserving keyword privacy. In the present paper, we consider the keyword search problem further and introduce a novel notion called attribute-based proxy re-encryption with keyword search (), which introduces a promising feature: In addition to supporting keyword search on encrypted data, it enables data owners to delegate the keyword search capability to some other data users complying with the specific access control policy. To be specific, allows (i) the data owner to outsource his encrypted data to the cloud and then ask the cloud to conduct keyword search on outsourced encrypted data with the given search token, and (ii) the data owner to delegate other data users keyword search capability in the fine-grained access control manner through allowing the cloud to re-encrypted stored encrypted data with a re-encrypted data (embedding with some form of access control policy). We formalize the syntax and security definitions for , and propose two concrete constructions for : key-policy and ciphertext-policy . In the nutshell, our constructions can be treated as the integration of technologies in the fields of attribute-based cryptography and proxy re-encryption cryptography. PMID:25549257

Customers' attributional judgments towards complaint handling in airline service: a confirmatory study based on attribution theory.

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Chiou, Wen-Bin

2007-06-01

Besides flight safety, complaint handling plays a crucial role in airline service. Based upon Kelley's attribution theory, in the present study customers' attributions were examined under different conditions of complaint handling by the airlines. There were 531 passengers (216 women; ages 21 to 63 years, M = 41.5, SD = 11.1) with experiences of customer complaints who were recruited while awaiting boarding. Participants received one hypothetical scenario of three attributional conditions about complaint handling and then reported their attributional judgments. The findings indicated that the passengers were most likely to attribute the company's complaint handling to unconditional compliance when the airline company reacted to customer complaints under low distinctiveness, high consistency, and when consensus among the airlines was low. On the other hand, most passengers attributed the company's complaint handling to conditional compliance under the conditions in which distinctiveness, consistency, and consensus were all high. The results provide further insights into how different policies of complaint management affect customers' attributions. Future directions and managerial implications are also discussed.

Attributing Crop Production in the United States Using Artificial Neural Network

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Ma, Y.; Zhang, Z.; Pan, B.

2017-12-01

Crop production plays key role in supporting life, economy and shaping environment. It is on one hand influenced by natural factors including precipitation, temperature, energy, and on the other hand shaped by the investment of fertilizers, pesticides and human power. Successful attributing of crop production to different factors can help optimize resources and improve productivity. Based on the meteorological records from National Center for Environmental Prediction and state-wise crop production related data provided by the United States Department of Agriculture Economic Research Service, an artificial neural network was constructed to connect crop production with precipitation and temperature anormlies, capital input, labor input, energy input, pesticide consumption and fertilizer consumption. Sensitivity analysis were carried out to attribute their specific influence on crop production for each grid. Results confirmed that the listed factors can generally determine the crop production. Different state response differently to the pertubation of predictands. Their spatial distribution is visulized and discussed.

Identification of Key Indicators for Sustainable Construction Materials

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Humphrey Danso

2018-01-01

Full Text Available Studies on sustainable construction materials are on the rise with their environmental, social, and economic benefits. This study identifies the key indicators for measuring sustainable construction materials. The design used for the study was that of a survey which relied on a questionnaire with five-point Likert scale to generate data for the analysis. For this purpose, 25 indicators from the three dimensions (environmental, social, and economic identified from the literature were presented to the respondents in a structured questionnaire, and responses were collected and analysed using SPSS. The study identified three key environmental indicators for measuring sustainable construction materials, and these indicators are human toxicity, climate change, and solid waste. Furthermore, adaptability, thermal comfort, local resources, and housing for all were identified as the four key social indicators for sustainable construction materials. In addition, maintenance cost, operational cost, initial cost, long-term savings, and life span were found to be the five key economic indicators for measuring sustainable construction materials. The study therefore suggests that these twelve indicators should be considered in future studies that seek to measure sustainable construction materials.

Profiles of Attribution of Importance to Life Roles and Their Implications for the Work-Family Conflict

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Cinamon, Rachel Gali; Rich, Yisrael

2002-01-01

Cluster analysis identified 3 groups of individuals who differed systematically on attributions of relative importance to work and to family roles. Participants were 213 married computer workers and lawyers, 126 men and 87 women. Questionnaires gathered data on attributions of importance to life roles, work-family conflict, spousal and managerial…

Correlating Trainee Attributes to Performance in 3D CAD Training

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Hamade, Ramsey F.; Artail, Hassan A.; Sikstrom, Sverker

2007-01-01

Purpose: The purpose of this exploratory study is to identify trainee attributes relevant for development of skills in 3D computer-aided design (CAD). Design/methodology/approach: Participants were trained to perform cognitive tasks of comparable complexity over time. Performance data were collected on the time needed to construct test models, and…

Application fuzzy multi-attribute decision analysis method to prioritize project success criteria

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Phong, Nguyen Thanh; Quyen, Nguyen Le Hoang Thuy To

2017-11-01

Project success is a foundation for project owner to manage and control not only for the current project but also for future potential projects in construction companies. However, identifying the key success criteria for evaluating a particular project in real practice is a challenging task. Normally, it depends on a lot of factors, such as the expectation of the project owner and stakeholders, triple constraints of the project (cost, time, quality), and company's mission, vision, and objectives. Traditional decision-making methods for measuring the project success are usually based on subjective opinions of panel experts, resulting in irrational and inappropriate decisions. Therefore, this paper introduces a multi-attribute decision analysis method (MADAM) for weighting project success criteria by using fuzzy Analytical Hierarchy Process approach. It is found that this method is useful when dealing with imprecise and uncertain human judgments in evaluating project success criteria. Moreover, this research also suggests that although cost, time, and quality are three project success criteria projects, the satisfaction of project owner and acceptance of project stakeholders with the completed project criteria is the most important criteria for project success evaluation in Vietnam.

The Role of Perceptual Similarity, Context, and Situation When Selecting Attributes: Considerations Made by 5-6-Year-Olds in Data Modeling Environments

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Leavy, Aisling; Hourigan, Mairead

2018-01-01

Classroom data modeling involves posing questions, identifying attributes of phenomena, measuring and structuring these attributes, and then composing, revising, and communicating the outcomes. Selecting attributes is a fundamental component of data modeling, and the considerations made when selecting attributes is the focus of this paper. A…

On the Detection of Fake Certificates via Attribute Correlation

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Xiaojing Gu

2015-06-01

Full Text Available Transport Layer Security (TLS and its predecessor, SSL, are important cryptographic protocol suites on the Internet. They both implement public key certificates and rely on a group of trusted certificate authorities (i.e., CAs for peer authentication. Unfortunately, the most recent research reveals that, if any one of the pre-trusted CAs is compromised, fake certificates can be issued to intercept the corresponding SSL/TLS connections. This security vulnerability leads to catastrophic impacts on SSL/TLS-based HTTPS, which is the underlying protocol to provide secure web services for e-commerce, e-mails, etc. To address this problem, we design an attribute dependency-based detection mechanism, called SSLight. SSLight can expose fake certificates by checking whether the certificates contain some attribute dependencies rarely occurring in legitimate samples. We conduct extensive experiments to evaluate SSLight and successfully confirm that SSLight can detect the vast majority of fake certificates issued from any trusted CAs if they are compromised. As a real-world example, we also implement SSLight as a Firefox add-on and examine its capability of exposing existent fake certificates from DigiNotar and Comodo, both of which have made a giant impact around the world.

Categories of fruit and vegetables: Attributes and definitions in Serbian

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Dilparić Branislava M.

2011-01-01

Full Text Available According to the results of an empirical investigation performed by E. Rosch and K. Mervis (1975, the prototype structures of the categories FRUIT and VEGETABLES, the two superordinate and neighbouring categories with no clear-cut boundaries between them, are formed by family resemblances. Each category has only two attributes ('(part of a plant' and 'edible' which are common to all its members and yet not sufficient to define the category and separate it from other categories of edible (parts of plants. Through the analysis and comparison of a number of definitions for FRUIT and VEGETABLES (obtained in a questionnaire-based survey from a hundred native speakers of Serbian; taken from Lexicography and Conceptual Analysis by A. Wierzbicka; taken from five general dictionaries of the Serbian language, the author of this paper attempts to determine the group of attributes that could play a key role in differentiating the observed categories and to search for the most appropriate way to define the two categories in Serbian which would hopefully be acceptable to both modern (prototype semantics and practical lexicography.

Investigating reliability attributes of silicon photovoltaic cells - An overview

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Royal, E. L.

1982-01-01

Reliability attributes are being developed on a wide variety of advanced single-crystal silicon solar cells. Two separate investigations: cell-contact integrity (metal-to-silicon adherence), and cracked cells identified with fracture-strength-reducing flaws are discussed. In the cell-contact-integrity investigation, analysis of contact pull-strength data shows that cell types made with different metallization technologies, i.e., vacuum, plated, screen-printed and soldered, have appreciably different reliability attributes. In the second investigation, fracture strength was measured using Czochralski wafers and cells taken at various stages of processing and differences were noted. Fracture strength, which is believed to be governed by flaws introduced during wafer sawing, was observed to improve (increase) after chemical polishing and other process steps that tend to remove surface and edge flaws.

Destination image and key drivers of perceived destination attractiveness

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Josip Mikulić

2008-12-01

Full Text Available In this exploratory study authors combine several approaches to explore the images of two highly attractive tourist destinations: Hawai’i and Croatia. Two convenience samples were used: the image of Hawai’i was measured among Croatian undergraduate business students, and the image of Croatia was measured among Hawaiian tourism students. Functional and psychological image components were assessed at both a holistic and the attribute level. In addition, an importance-perception analysis was performed to assess the degree to which the destination image at the attribute level coincides with the students’ perception of an optimal destination. Finally, the authors conduct an importance grid analysis to explore the key drivers of the overall perceived destination attractiveness. The results provide a detailed insight into the images of Croatia and Hawaii, and reveal several interesting differences between the two student samples.

Characteristics attributed to complementary foods by caregivers in four countries of Latin America and the Caribbean.

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Dutta, Tanushree; Sywulka, Sara M; Frongillo, Edward A; Lutter, Chessa K

2006-12-01

Attributes that caregivers assign to complementary foods have been primarily described in the context of illness, but attributes assigned to foods in everyday circumstances must be understood to effectively promote good complementary feeding. This study aimed to understand how mothers judge complementary foods to be appropriate by cross-cultural examination of food perceptions in four different Latin American and Caribbean countries. We used semistructured interviews to assess attributes that mothers ascribed to a list of key foods, both home-made and manufactured, and reasons for feeding or not feeding them. We elicited attributes from 79 caregivers with children 6 to 24 months of age from two urban and perirban sites each in Brazil, Jamaica, Mexico, and Panama. Textual analysis based on six home foods common to the four countries and manufactured foods resulted in six attribute categories, five of which could be positive or negative (Nutrient Content, Effects on Child, Child's Response, Availability and Accessibility, and Other Food Attributes); one (Food Quality and Safety) was only negative. Analysis of attributes of home foods (chicken, eggs, beans, carrots, bananas or plantains, and oranges) revealed many beliefs that were common within and across countries, whereas analysis of the attributes of manufactured foods revealed that these foods were less known. The consistency of the attribute categories across countries and across home and manufactured foods suggests their relevance to planning programs to improve complementary feeding in Latin America and the Caribbean and possibly other developing countries. These results can be used programmatically to assess the need for and the focus of food education programs, and to indicate which countries will be more receptive to certain foods as a means of improving complementary feeding.

ANALISIS PERSEPSI AUDITOR MENGENAI FAKTOR PENENTU AUDIT FEE BERDASARKAN CLIENT ATTRIBUTES, AUDITOR ATTRIBUTES, DAN ENGAGEMENT ATRTRIBUTES

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Aman Faturachman

2013-04-01

Full Text Available This research purposes to know how perception auditors about determining factors of audit fee based on Client Attributes, Auditor Attributes, and Engagement Attributes at The Public Accountant Firm residing in Bandung. In this research, the indicator that is used to characterize the Client Attributes are size, complexity, inherent risk, profitability, leverage and liquidity, and industry. While the indicator to characterize the Auditor Attributes are auditor’s specialization, audit tenure, and location. And the indicators to characterize the Engagement Attributes are audit problems, audit report lag, busy season, and number of reports. The Method that is used in this research is a descriptive method. The population in this research is a public accountant in Bandung. Based on sampling techniques that saturated and qualified then it take about 11 offices of public accountant. SmartPLS ver 2.0 M3 are used as a Statistical analysis. The result of this research with count the loading factor and bootstrapping method are, the first one that the perception of the auditor based on client attributes of audit fee determinants from which is very important to not important is size, complexity, profitability, inherent risk,  industry, and leverage & liquidty, the second states that perception based on auditor attributes audit fee determinants from which is very important to not important is audit tenure, location, and specialization. And the third states that the perception of auditor engagement attributes based determinants of audit fee which is very important to not important audit report lag, busy season, audit problems and number of reports.

Labeled experimental choice design for estimating attribute and availability cross effects with N attributes and specific brand attribute levels

DEFF Research Database (Denmark)

Nguyen, Thong Tien

2011-01-01

Experimental designs are required in widely used techniques in marketing research, especially for preference-based conjoint analysis and discrete-choice studies. Ideally, marketing researchers prefer orthogonal designs because this technique could give uncorrelated parameter estimates. However, o...... for implementing designs that is efficient enough to estimate model with N brands, each brand have K attributes, and brand attribute has specific levels. The paper also illustrates an example in food consumption study.......Experimental designs are required in widely used techniques in marketing research, especially for preference-based conjoint analysis and discrete-choice studies. Ideally, marketing researchers prefer orthogonal designs because this technique could give uncorrelated parameter estimates. However......, orthogonal design is not available for every situation. Instead, efficient design based on computerized design algorithm is always available. This paper presents the method of efficient design for estimating brand models having attribute and availability cross effects. The paper gives a framework...

The significance of employee biographics in explaining employability attributes

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Jo-Anne Botha

2017-12-01

Full Text Available Background: Employability is the capacity of employees to acquire transferable competencies and individual capacities that enable them to adapt to, be innovative in and steer their own careers in a dynamic work environment. It is clear that employers would thus look for employees who are capable of proactive adjustment and action-oriented behaviours. Aim: The aim of the study was to determine whether significant differences exist in the employability attributes of individuals from different gender, race and age groups and if so, how should such a diverse workforce should be managed. Setting: This study was conducted at a distance education institution. The sample of respondents consisted of adult learners who are pursuing further distance learning studies in the economic and management sciences field in South Africa. Methods: Correlational and inferential statistical analyses were used. A stratified random sample of 1102 mainly black and female adult learners participated in the study. Results: The employability attributes framework identified three categories of employability: interpersonal, intrapersonal and career attributes. The research indicated that significant differences exist between gender, race and age groups with regard to employability. Male and female participants differed significantly with regard to entrepreneurial orientation, proactivity and career resilience. The various race groups differed considerably regarding cultural competence and sociability of individuals. Participants older than 50 years scored the highest on self-efficacy. Conclusion and implications: The findings of this research could ensure that previously disadvantaged individuals are not further marginalised because of a lack of employability attributes and that the required employability attributes can be cultivated to ensure advancement and success in the work place.

Semantic attributes based texture generation

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Chi, Huifang; Gan, Yanhai; Qi, Lin; Dong, Junyu; Madessa, Amanuel Hirpa

2018-04-01

Semantic attributes are commonly used for texture description. They can be used to describe the information of a texture, such as patterns, textons, distributions, brightness, and so on. Generally speaking, semantic attributes are more concrete descriptors than perceptual features. Therefore, it is practical to generate texture images from semantic attributes. In this paper, we propose to generate high-quality texture images from semantic attributes. Over the last two decades, several works have been done on texture synthesis and generation. Most of them focusing on example-based texture synthesis and procedural texture generation. Semantic attributes based texture generation still deserves more devotion. Gan et al. proposed a useful joint model for perception driven texture generation. However, perceptual features are nonobjective spatial statistics used by humans to distinguish different textures in pre-attentive situations. To give more describing information about texture appearance, semantic attributes which are more in line with human description habits are desired. In this paper, we use sigmoid cross entropy loss in an auxiliary model to provide enough information for a generator. Consequently, the discriminator is released from the relatively intractable mission of figuring out the joint distribution of condition vectors and samples. To demonstrate the validity of our method, we compare our method to Gan et al.'s method on generating textures by designing experiments on PTD and DTD. All experimental results show that our model can generate textures from semantic attributes.

Family caregivers' attributions about care-recipient behaviour: does caregiver relationship satisfaction mediate the attribution-distress relationship?

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Hui, Siu-Kuen Azor; Elliott, Timothy R; Martin, Roy; Uswatte, Gitendra

2011-09-01

The relations of caregiver attributions about care-recipient's problem behaviour to caregiving relationship satisfaction and caregiver distress were examined. This is a cross sectional study. Seventy-five family caregivers of individuals diagnosed with various disabling health conditions were recruited and interviewed. Caregiver attributions (internality, intentionality, responsibility, and controllability), caregiving relationship satisfaction, and caregiver distress variables were measured. Structural equation techniques tested an a priori model of the latent constructs of caregiver attributions and caregiver relationship satisfaction to caregiver distress. Maladaptive caregiver attributions (i.e., more trait, higher intentionality, higher responsibility, and higher controllability) about care-recipients' problem behaviours predicted lower caregiving relationship satisfaction, which in turn was predictive of higher caregiver distress. Unexpectedly, caregiver attributions were not directly related to caregiver distress. However, attributions had an indirect effect on distress through relationship satisfaction. Younger caregivers experienced higher caregiver distress. Caregivers' explanations about care-recipient's problem behaviour are indicative of their satisfaction in the relationship with the care recipient, and poor caregiving relationship satisfaction is predictive of caregiver distress. Caregiver attributions and relationship quality may be considered in interventions with family caregivers. ©2010 The British Psychological Society.

Preference for pharmaceutical formulation and treatment process attributes

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Stewart KD

2016-07-01

Full Text Available Katie D Stewart,1 Joseph A Johnston,2 Louis S Matza,1 Sarah E Curtis,2 Henry A Havel,3 Stephanie A Sweetana,3 Heather L Gelhorn1 1Outcomes Research, Evidera, Bethesda, MD, USA; 2Global Patient Outcomes & Real World Evidence, 3Small Molecule Design and Development, Eli Lilly & Company, Indianapolis, IN, USA Purpose: Pharmaceutical formulation and treatment process attributes, such as dose frequency and route of administration, can have an impact on quality of life, treatment adherence, and disease outcomes. The aim of this literature review was to examine studies on preferences for pharmaceutical treatment process attributes, focusing on research in diabetes, oncology, osteoporosis, and autoimmune disorders.Methods: The literature search focused on identifying studies reporting preferences for attributes of the pharmaceutical treatment process. Studies were required to use formal quantitative preference assessment methods, such as utility valuation, conjoint analysis, or contingent valuation. Searches were conducted using Medline, EMBASE, Cochrane Library, Health Economic Evaluation Database, and National Health Service Economic Evaluation Database (January 1993–October 2013.Results: A total of 42 studies met inclusion criteria: 19 diabetes, nine oncology, five osteoporosis, and nine autoimmune. Across these conditions, treatments associated with shorter treatment duration, less frequent administration, greater flexibility, and less invasive routes of administration were preferred over more burdensome or complex treatments. While efficacy and safety often had greater relative importance than treatment process, treatment process also had a quantifiable impact on preference. In some instances, particularly in diabetes and autoimmune disorders, treatment process attributes had greater relative importance than some or all efficacy and safety attributes. Some studies suggested that relative importance of treatment process depends on disease (eg

Evaluation of unique identifiers used as keys to match identical publications in Pure and SciVal – a case study from health science [version 2; referees: 1 approved, 2 approved with reservations

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Heidi Holst Madsen

2016-09-01

Full Text Available Unique identifiers (UID are seen as an effective key to match identical publications across databases or identify duplicates in a database. The objective of the present study is to investigate how well UIDs work as match keys in the integration between Pure and SciVal, based on a case with publications from the health sciences. We evaluate the matching process based on information about coverage, precision, and characteristics of publications matched versus not matched with UIDs as the match keys. We analyze this information to detect errors, if any, in the matching process. As an example we also briefly discuss how publication sets formed by using UIDs as the match keys may affect the bibliometric indicators number of publications, number of citations, and the average number of citations per publication.  The objective is addressed in a literature review and a case study. The literature review shows that only a few studies evaluate how well UIDs work as a match key. From the literature we identify four error types: Duplicate digital object identifiers (DOI, incorrect DOIs in reference lists and databases, DOIs not registered by the database where a bibliometric analysis is performed, and erroneous optical or special character recognition. The case study explores the use of UIDs in the integration between the databases Pure and SciVal. Specifically journal publications in English are matched between the two databases. We find all error types except erroneous optical or special character recognition in our publication sets. In particular the duplicate DOIs constitute a problem for the calculation of bibliometric indicators as both keeping the duplicates to improve the reliability of citation counts and deleting them to improve the reliability of publication counts will distort the calculation of average number of citations per publication. The use of UIDs as a match key in citation linking is implemented in many settings, and the availability of

The role of the Australian workplace return to work coordinator: essential qualities and attributes.

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Bohatko-Naismith, Joanna; James, Carole; Guest, Maya; Rivett, Darren A

2015-03-01

In the Australian context, a return to work (RTW) Coordinator assists an injured worker with workplace-based support and regulatory guidance for the duration of their injury. Coordinating the RTW process has been considered an effective approach for managing workplace injuries, however few studies have described the skills, traits or characteristics required to fulfil the role of workplace RTW Coordinator. This study aims to provide insight as to the skills and attributes needed for the role of the workplace RTW Coordinator from their experience and perception. Focus groups were conducted with workplace RTW Coordinators from six major Australian cities. Twenty five participants were recruited through a national RTW Coordinator website, and professional RTW interest groups using a snowballing technique. Participating workplace RTW Coordinators were required to have a minimum 2 years' experience and to have been involved with the development and implementation of workplace policies and procedures. Thematic analysis was performed to identify meaningful patterns and themes. The data analysed provided clear insight as to the specific role requirements necessary for working as an Australian workplace RTW Coordinator. Three key themes clearly emerged; communication skills, RTW Coordinator characteristics, and managing the RTW process. The findings indicate that RTW Coordinators require a wide range of traits, skills, and attributes to successfully perform this role. Effective management by the RTW Coordinator of the complex RTW process is essential to facilitate a smooth transition for the injured worker, alongside maintaining a professional relationship with the employer and external stakeholders. The results of this study can be utilised to further improve the selection of future RTW Coordinators.

Consumer preferences for hearing aid attributes: a comparison of rating and conjoint analysis methods.

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Bridges, John F P; Lataille, Angela T; Buttorff, Christine; White, Sharon; Niparko, John K

2012-03-01

Low utilization of hearing aids has drawn increased attention to the study of consumer preferences using both simple ratings (e.g., Likert scale) and conjoint analyses, but these two approaches often produce inconsistent results. The study aims to directly compare Likert scales and conjoint analysis in identifying important attributes associated with hearing aids among those with hearing loss. Seven attributes of hearing aids were identified through qualitative research: performance in quiet settings, comfort, feedback, frequency of battery replacement, purchase price, water and sweat resistance, and performance in noisy settings. The preferences of 75 outpatients with hearing loss were measured with both a 5-point Likert scale and with 8 paired-comparison conjoint tasks (the latter being analyzed using OLS [ordinary least squares] and logistic regression). Results were compared by examining implied willingness-to-pay and Pearson's Rho. A total of 56 respondents (75%) provided complete responses. Two thirds of respondents were male, most had sensorineural hearing loss, and most were older than 50; 44% of respondents had never used a hearing aid. Both methods identified improved performance in noisy settings as the most valued attribute. Respondents were twice as likely to buy a hearing aid with better functionality in noisy environments (p < .001), and willingness to pay for this attribute ranged from US$2674 on the Likert to US$9000 in the conjoint analysis. The authors find a high level of concordance between the methods-a result that is in stark contrast with previous research. The authors conclude that their result stems from constraining the levels on the Likert scale.

Attributional and relational processing in pigeons

Directory of Open Access Journals (Sweden)

Dennis eGarlick

2011-02-01

Full Text Available Six pigeons were trained using a matching-to-sample procedure where sample and rewarded comparisons matched on both attributional (color and relational (horizontal or vertical orientation dimensions. Probes then evaluated the pigeons’ preference to comparisons that varied in these dimensions. A strong preference was found for the attribute of color. The discrimination was not found to transfer to novel colors, however, suggesting that a general color rule had not been learned. Further, when color could not be used to guide responding, some influence of other attributional cues such as shape, but not relational cues, was found. We conclude that pigeons based their performance on attributional properties of but not on relational properties between elements in our matching-to-sample procedure.. Future studies should look at examining other attributes to compare attributional versus relational processing.

Attributes identification of nuclear material by non-destructive radiation measurement methods

International Nuclear Information System (INIS)

Gan Lin

2002-01-01

Full text: The nuclear materials should be controlled under the regulation of National Safeguard System. The non-destructive analysis method, which is simple and quick, provide a effective process in determining the nuclear materials, nuclear scraps and wastes. The method play a very important role in the fields of nuclear material control and physical protection against the illegal removal and smuggling of nuclear material. The application of non-destructive analysis in attributes identification of nuclear material is briefly described in this paper. The attributes determined by radioactive detection technique are useful tolls to identify the characterization of special nuclear material (isotopic composition, enrichment etc.). (author)

Quality Attribute Techniques Framework

Science.gov (United States)

Chiam, Yin Kia; Zhu, Liming; Staples, Mark

The quality of software is achieved during its development. Development teams use various techniques to investigate, evaluate and control potential quality problems in their systems. These “Quality Attribute Techniques” target specific product qualities such as safety or security. This paper proposes a framework to capture important characteristics of these techniques. The framework is intended to support process tailoring, by facilitating the selection of techniques for inclusion into process models that target specific product qualities. We use risk management as a theory to accommodate techniques for many product qualities and lifecycle phases. Safety techniques have motivated the framework, and safety and performance techniques have been used to evaluate the framework. The evaluation demonstrates the ability of quality risk management to cover the development lifecycle and to accommodate two different product qualities. We identify advantages and limitations of the framework, and discuss future research on the framework.

Attribution of changes in precipitation patterns in African rainforests

Science.gov (United States)

Otto, Friederike E. L.; Jones, Richard G.; Halladay, Kate; Allen, Myles R.

2013-01-01

Tropical rainforests in Africa are one of the most under-researched regions in the world, but research in the Amazonian rainforest suggests potential vulnerability to climate change. Using the large ensemble of Atmosphere-only general circulation model (AGCM) simulations within the weather@home project, statistics of precipitation in the dry season of the Congo Basin rainforest are analysed. By validating the model simulation against observations, we could identify a good model performance for the June, July, August (JJA) dry season, but this result does need to be taken with caution as observed data are of poor quality. Additional validation methods have been used to investigate the applicability of probabilistic event attribution analysis from large model ensembles to a tropical region, in this case the Congo Basin. These methods corroborate the confidence in the model, leading us to believe the attribution result to be robust. That is, that there are no significant changes in the risk of low precipitation extremes during this dry season (JJA) precipitation in the Congo Basin. Results for the December, January, February dry season are less clear. The study highlights that attribution analysis has the potential to provide valuable scientific evidence of recent or anticipated climatological changes, especially in regions with sparse observational data and unclear projections of future changes. However, the strong influence of sea surface temperature teleconnection patterns on tropical precipitation provides more challenges in the set up of attribution studies than midlatitude rainfall. PMID:23878330

Genome-wide expression profiling analysis to identify key genes in the anti-HIV mechanism of CD4+ and CD8+ T cells.

Science.gov (United States)

Gao, Lijie; Wang, Yunqi; Li, Yi; Dong, Ya; Yang, Aimin; Zhang, Jie; Li, Fengying; Zhang, Rongqiang

2018-07-01

Comprehensive bioinformatics analyses were performed to explore the key biomarkers in response to HIV infection of CD4 + and CD8 + T cells. The numbers of CD4 + and CD8 + T cells of HIV infected individuals were analyzed and the GEO database (GSE6740) was screened for differentially expressed genes (DEGs) in HIV infected CD4 + and CD8 + T cells. Gene Ontology enrichment, KEGG pathway analyses, and protein-protein interaction (PPI) network were performed to identify the key pathway and core proteins in anti-HIV virus process of CD4 + and CD8 + T cells. Finally, we analyzed the expressions of key proteins in HIV-infected T cells (GSE6740 dataset) and peripheral blood mononuclear cells(PBMCs) (GSE511 dataset). 1) CD4 + T cells counts and ratio of CD4 + /CD8 + T cells decreased while CD8 + T cells counts increased in HIV positive individuals; 2) 517 DEGs were found in HIV infected CD4 + and CD8 + T cells at acute and chronic stage with the criterial of P-value T cells. The main biological processes of the DEGs were response to virus and defense response to virus. At chronic stage, ISG15 protein, in conjunction with IFN-1 pathway might play key roles in anti-HIV responses of CD4 + T cells; and 4) The expression of ISG15 increased in both T cells and PBMCs after HIV infection. Gene expression profile of CD4 + and CD8 + T cells changed significantly in HIV infection, in which ISG15 gene may play a central role in activating the natural antiviral process of immune cells. © 2018 Wiley Periodicals, Inc.

Gluon attributes

International Nuclear Information System (INIS)

Weiler, T.

1981-01-01

An overview is presented of the attributes of gluons, deducible from experimental data. Particular attention is given to the photon-gluon fusion model of charm leptoproduction. The agreement with QCD and theoretical prejudice is qualitatively good

Malformations among 289,365 Births Attributed to Mutations with Autosomal Dominant and Recessive and X-Linked Inheritance.

Science.gov (United States)

Toufaily, M Hassan; Westgate, Marie-Noel; Nasri, Hanah; Holmes, Lewis B

2018-01-01

The number of malformations attributed to mutations with autosomal or X-linked patterns of inheritance has increased steadily since the cataloging began in the 1960s. These diagnoses have been based primarily on the pattern of phenotypic features among close relatives. A malformations surveillance program conducted in consecutive pregnancies can identify both known and "new" hereditary disorders. The Active Malformations Surveillance Program was carried out among 289,365 births over 41 years (1972-2012) at Brigham and Women's Hospital in Boston. The findings recorded by examining pediatricians and all consultants were reviewed by study clinicians to establish the most likely diagnoses. The findings in laboratory testing in the newborn period were reviewed, as well. One hundred ninety-six (0.06%) infants among 289,365 births had a malformation or malformation syndrome that was attributed to Mendelian inheritance. A total of 133 (68%) of the hereditary malformations were attributed to autosomal dominant inheritance, with 94 (71%) attributed to apparent spontaneous mutations. Forty-six (23%) were attributed to mutations with autosomal recessive inheritance, 17 associated with consanguinity. Seventeen (9%) were attributed to X-linked inheritance. Fifteen novel familial phenotypes were identified. The family histories showed that most (53 to 71%) of the affected infants were born, as a surprise, to healthy, unaffected parents. It is important for clinicians to discuss with surprised healthy parents how they can have an infant with an hereditary condition. Future studies, using DNA samples from consecutive populations of infants with malformations and whole genome sequencing, will identify many more mutations in loci associated with mendelizing phenotypes. Birth Defects Research 110:92-97, 2018.© 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.

Organizational attributes that assure optimal utilization of public health nurses.

Science.gov (United States)

Meagher-Stewart, Donna; Underwood, Jane; MacDonald, Mary; Schoenfeld, Bonnie; Blythe, Jennifer; Knibbs, Kristin; Munroe, Val; Lavoie-Tremblay, Mélanie; Ehrlich, Anne; Ganann, Rebecca; Crea, Mary

2010-01-01

Optimal utilization of public health nurses (PHNs) is important for strengthening public health capacity and sustaining interest in public health nursing in the face of a global nursing shortage. To gain an insight into the organizational attributes that support PHNs to work effectively, 23 focus groups were held with PHNs, managers, and policymakers in diverse regions and urban and rural/remote settings across Canada. Participants identified attributes at all levels of the public health system: government and system-level action, local organizational culture of their employers, and supportive management practices. Effective leadership emerged as a strong message throughout all levels. Other organizational attributes included valuing and promoting public health nursing; having a shared vision, goals, and planning; building partnerships and collaboration; demonstrating flexibility and creativity; and supporting ongoing learning and knowledge sharing. The results of this study highlight opportunities for fostering organizational development and leadership in public health, influencing policies and programs to optimize public health nursing services and resources, and supporting PHNs to realize the full scope of their competencies.

Spanning Tree Based Attribute Clustering

DEFF Research Database (Denmark)

Zeng, Yifeng; Jorge, Cordero Hernandez

2009-01-01

Attribute clustering has been previously employed to detect statistical dependence between subsets of variables. We propose a novel attribute clustering algorithm motivated by research of complex networks, called the Star Discovery algorithm. The algorithm partitions and indirectly discards...... inconsistent edges from a maximum spanning tree by starting appropriate initial modes, therefore generating stable clusters. It discovers sound clusters through simple graph operations and achieves significant computational savings. We compare the Star Discovery algorithm against earlier attribute clustering...

An Attribute-Based Access Control with Efficient and Secure Attribute Revocation for Cloud Data Sharing Service

Institute of Scientific and Technical Information of China (English)

Nyamsuren Vaanchig; Wei Chen; Zhi-Guang Qin

2017-01-01

Nowadays, there is the tendency to outsource data to cloud storage servers for data sharing purposes. In fact, this makes access control for the outsourced data a challenging issue. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution for this challenge. It gives the data owner (DO) direct control on access policy and enforces the access policy cryptographically. However, the practical application of CP-ABE in the data sharing service also has its own inherent challenge with regard to attribute revocation. To address this challenge, we proposed an attribute-revocable CP-ABE scheme by taking advantages of the over-encryption mechanism and CP-ABE scheme and by considering the semi-trusted cloud service provider (CSP) that participates in decryption processes to issue decryption tokens for authorized users. We further presented the security and performance analysis in order to assess the effectiveness of the scheme. As compared with the existing attribute-revocable CP-ABE schemes, our attribute-revocable scheme is reasonably efficient and more secure to enable attribute-based access control over the outsourced data in the cloud data sharing service.

Eight Key Facets of Small Business Management.

Science.gov (United States)

Scott, James Calvert

1980-01-01

Identifies eight key facets of small business management and suggests activities that may be used to assist in their development. The key facets are (1) product or service, (2) competition, (3) marketing strategies, (4) personnel needs, (5) equipment and facility needs, (6) finances, (7) planning, and (8) entrepreneurship. (JOW)

Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.

Science.gov (United States)

Yang, Xinyu; Xu, Guoai; Li, Qi; Guo, Yanhui; Zhang, Miao

2017-01-01

Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to identify source code programmers. Authorship attribution of source code is required in diverse applications, ranging from malicious code tracking to solving authorship dispute or software plagiarism detection. This paper aims to propose a new method to identify the programmer of Java source code samples with a higher accuracy. To this end, it first introduces back propagation (BP) neural network based on particle swarm optimization (PSO) into authorship attribution of source code. It begins by computing a set of defined feature metrics, including lexical and layout metrics, structure and syntax metrics, totally 19 dimensions. Then these metrics are input to neural network for supervised learning, the weights of which are output by PSO and BP hybrid algorithm. The effectiveness of the proposed method is evaluated on a collected dataset with 3,022 Java files belong to 40 authors. Experiment results show that the proposed method achieves 91.060% accuracy. And a comparison with previous work on authorship attribution of source code for Java language illustrates that this proposed method outperforms others overall, also with an acceptable overhead.

Attribution Theory and Crisis Intervention Therapy.

Science.gov (United States)

Skilbeck, William M.

It was proposed that existing therapeutic procedures may influence attributions about emotional states. Therefore an attributional analysis of crisis intervention, a model of community-based, short-term consultation, was presented. This analysis suggested that crisis intervention provides attributionally-relevant information about both the source…

Using Cluster Analysis to Compartmentalize a Large Managed Wetland Based on Physical, Biological, and Climatic Geospatial Attributes.

Science.gov (United States)

Hahus, Ian; Migliaccio, Kati; Douglas-Mankin, Kyle; Klarenberg, Geraldine; Muñoz-Carpena, Rafael

2018-04-27

Hierarchical and partitional cluster analyses were used to compartmentalize Water Conservation Area 1, a managed wetland within the Arthur R. Marshall Loxahatchee National Wildlife Refuge in southeast Florida, USA, based on physical, biological, and climatic geospatial attributes. Single, complete, average, and Ward's linkages were tested during the hierarchical cluster analyses, with average linkage providing the best results. In general, the partitional method, partitioning around medoids, found clusters that were more evenly sized and more spatially aggregated than those resulting from the hierarchical analyses. However, hierarchical analysis appeared to be better suited to identify outlier regions that were significantly different from other areas. The clusters identified by geospatial attributes were similar to clusters developed for the interior marsh in a separate study using water quality attributes, suggesting that similar factors have influenced variations in both the set of physical, biological, and climatic attributes selected in this study and water quality parameters. However, geospatial data allowed further subdivision of several interior marsh clusters identified from the water quality data, potentially indicating zones with important differences in function. Identification of these zones can be useful to managers and modelers by informing the distribution of monitoring equipment and personnel as well as delineating regions that may respond similarly to future changes in management or climate.

Technology, attributions, and emotions in post-secondary education: An application of Weiner's attribution theory to academic computing problems.

Science.gov (United States)

Maymon, Rebecca; Hall, Nathan C; Goetz, Thomas; Chiarella, Andrew; Rahimi, Sonia

2018-01-01

As technology becomes increasingly integrated with education, research on the relationships between students' computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner's (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study.

Abstract Interpretation and Attribute Gramars

DEFF Research Database (Denmark)

Rosendahl, Mads

The objective of this thesis is to explore the connections between abstract interpretation and attribute grammars as frameworks in program analysis. Abstract interpretation is a semantics-based program analysis method. A large class of data flow analysis problems can be expressed as non-standard ...... is presented in the thesis. Methods from abstract interpretation can also be used in correctness proofs of attribute grammars. This proof technique introduces a new class of attribute grammars based on domain theory. This method is illustrated with examples....

Nuclear Forensics Attributing the Source of Spent Fuel Used in an RDD Event

International Nuclear Information System (INIS)

Scott, M.R.

2005-01-01

An RDD attack against the U.S. is something America needs to prepare against. If such an event occurs the ability to quickly identify the source of the radiological material used in an RDD would aid investigators in identifying the perpetrators. Spent fuel is one of the most dangerous possible radiological sources for an RDD. In this work, a forensics methodology was developed and implemented to attribute spent fuel to a source reactor. The specific attributes determined are the spent fuel burnup, age from discharge, reactor type, and initial fuel enrichment. It is shown that by analyzing the post-event material, these attributes can be determined with enough accuracy to be useful for investigators. The burnup can be found within a 5% accuracy, enrichment with a 2% accuracy, and age with a 10% accuracy. Reactor type can be determined if specific nuclides are measured. The methodology developed was implemented into a code call NEMASYS. NEMASYS is easy to use and it takes a minimum amount of time to learn its basic functions. It will process data within a few minutes and provide detailed information about the results and conclusions

Nuclear Forensics Attributing the Source of Spent Fuel Used in an RDD Event

Energy Technology Data Exchange (ETDEWEB)

Scott, Mark Robert [Texas A & M Univ., College Station, TX (United States)

2005-05-01

An RDD attack against the U.S. is something America needs to prepare against. If such an event occurs the ability to quickly identify the source of the radiological material used in an RDD would aid investigators in identifying the perpetrators. Spent fuel is one of the most dangerous possible radiological sources for an RDD. In this work, a forensics methodology was developed and implemented to attribute spent fuel to a source reactor. The specific attributes determined are the spent fuel burnup, age from discharge, reactor type, and initial fuel enrichment. It is shown that by analyzing the post-event material, these attributes can be determined with enough accuracy to be useful for investigators. The burnup can be found within a 5% accuracy, enrichment with a 2% accuracy, and age with a 10% accuracy. Reactor type can be determined if specific nuclides are measured. The methodology developed was implemented into a code call NEMASYS. NEMASYS is easy to use and it takes a minimum amount of time to learn its basic functions. It will process data within a few minutes and provide detailed information about the results and conclusions.

Attribute Learning for SAR Image Classification

Directory of Open Access Journals (Sweden)

Chu He

2017-04-01

Full Text Available This paper presents a classification approach based on attribute learning for high spatial resolution Synthetic Aperture Radar (SAR images. To explore the representative and discriminative attributes of SAR images, first, an iterative unsupervised algorithm is designed to cluster in the low-level feature space, where the maximum edge response and the ratio of mean-to-variance are included; a cross-validation step is applied to prevent overfitting. Second, the most discriminative clustering centers are sorted out to construct an attribute dictionary. By resorting to the attribute dictionary, a representation vector describing certain categories in the SAR image can be generated, which in turn is used to perform the classifying task. The experiments conducted on TerraSAR-X images indicate that those learned attributes have strong visual semantics, which are characterized by bright and dark spots, stripes, or their combinations. The classification method based on these learned attributes achieves better results.

The building blocks of a 'Liveable Neighbourhood': Identifying the key performance indicators for walking of an operational planning policy in Perth, Western Australia.

Science.gov (United States)

Hooper, Paula; Knuiman, Matthew; Foster, Sarah; Giles-Corti, Billie

2015-11-01

Planning policy makers are requesting clearer guidance on the key design features required to build neighbourhoods that promote active living. Using a backwards stepwise elimination procedure (logistic regression with generalised estimating equations adjusting for demographic characteristics, self-selection factors, stage of construction and scale of development) this study identified specific design features (n=16) from an operational planning policy ("Liveable Neighbourhoods") that showed the strongest associations with walking behaviours (measured using the Neighbourhood Physical Activity Questionnaire). The interacting effects of design features on walking behaviours were also investigated. The urban design features identified were grouped into the "building blocks of a Liveable Neighbourhood", reflecting the scale, importance and sequencing of the design and implementation phases required to create walkable, pedestrian friendly developments. Copyright © 2015 Elsevier Ltd. All rights reserved.

Hillslope characterization: Identifying key controls on local-scale plant communities' distribution using remote sensing and subsurface data fusion.

Science.gov (United States)

Falco, N.; Wainwright, H. M.; Dafflon, B.; Leger, E.; Peterson, J.; Steltzer, H.; Wilmer, C.; Williams, K. H.; Hubbard, S. S.

2017-12-01

Mountainous watershed systems are characterized by extreme heterogeneity in hydrological and pedological properties that influence biotic activities, plant communities and their dynamics. To gain predictive understanding of how ecosystem and watershed system evolve under climate change, it is critical to capture such heterogeneity and to quantify the effect of key environmental variables such as topography, and soil properties. In this study, we exploit advanced geophysical and remote sensing techniques - coupled with machine learning - to better characterize and quantify the interactions between plant communities' distribution and subsurface properties. First, we have developed a remote sensing data fusion framework based on the random forest (RF) classification algorithm to estimate the spatial distribution of plant communities. The framework allows the integration of both plant spectral and structural information, which are derived from multispectral satellite images and airborne LiDAR data. We then use the RF method to evaluate the estimated plant community map, exploiting the subsurface properties (such as bedrock depth, soil moisture and other properties) and geomorphological parameters (such as slope, curvature) as predictors. Datasets include high-resolution geophysical data (electrical resistivity tomography) and LiDAR digital elevation maps. We demonstrate our approach on a mountain hillslope and meadow within the East River watershed in Colorado, which is considered to be a representative headwater catchment in the Upper Colorado Basin. The obtained results show the existence of co-evolution between above and below-ground processes; in particular, dominant shrub communities in wet and flat areas. We show that successful integration of remote sensing data with geophysical measurements allows identifying and quantifying the key environmental controls on plant communities' distribution, and provides insights into their potential changes in the future

Gender Attributions of Science and Academic Attributes: AN Examination of Undergraduate Science, Mathematics, and Technology Majors

Science.gov (United States)

Hughes, W. Jay

Questionnaire data (n = 297) examined the relationship between gender attributions of science and academic attributes for undergraduate science, mathematics, and technology majors from the perspective of gender schema theory. Female and male respondents perceived that (a) the role of scientist was sex typed as masculine, (b) their majors were more valuable for members of their gender than for those of the opposite gender, (c) their majors were more valuable for themselves than for members of their gender in general. Androgynous attributions of scientists and the value of one's major for women predicted value for oneself, major confidence, and career confidence, and masculine attributions of scientists predicted class participation for female respondents. Feminine attributions of scientists predicted graduate school intent; value for women predicted major confidence and subjective achievement, and value for men predicted value for oneself, course confidence, and career confidence for male respondents.

Paranormal belief and attributional style.

Science.gov (United States)

Dudley, R T; Whisnand, E A

2000-06-01

52 college students completed Tobacyk's 1988 Revised Paranormal Belief Scale and Peterson, Semmel, von Baeyer, Abramson, Metalsky, and Seligman's 1982 Attributional Style Questionnaire. Analysis showed significantly higher depressive attributional styles among high scorers on paranormal phenomena than low scorers.

Consumer perception of sustainability attributes in organic and local food.

Science.gov (United States)

Annunziata, Azzurra; Angela, Mariani

2017-12-14

Although sustainable food consumption is gaining growing importance on the international agenda, research on this subject is still quite fragmented and most studies analyse single aspects of sustainable food consumption with particular reference to environmental sustainability. In addition, the literature highlights the need to take account of the strong heterogeneity of consumers in studying sustainable behaviour. Identifying consumer segments with common profiles, needs and values is essential for developing effective communication strategies to promote sustainability in food consumption. Consumer segmentation based on the perception of the sustainability attributes of organic and local products was realized using descriptive data collected through a consumer online survey in southern Italy (Campania). K-means cluster analysis was performed to identify different consumer segments based on consumer perception of sustainable attributes in organic and local food. Results confirm the support of consumers for organic and local food as sustainable alternative in food choices even if occasional buying behaviour of these products still predominates. In addition, our results show that an egoistic approach prevails among consumers, who seem to attach more value to attributes related to quality and health than to environmental, social and economic sustainability. Segmentation proves the existence of three consumer segments that differ significantly in terms of perception of sustainability attributes: a large segment of individuals who seem more egocentric oriented, an environmental sustainability oriented segment and a small segment that includes sustainability oriented consumers. The existence of different levels of sensitivity to sustainability attributes in organic and local food among the identified segments could be duly considered by policy makers and other institutions in promoting sustainable consumption patterns. Consumers in the first cluster could be educated

On the Security of a Simple Three-Party Key Exchange Protocol without Server’s Public Keys

Directory of Open Access Journals (Sweden)

Junghyun Nam

2014-01-01

Full Text Available Authenticated key exchange protocols are of fundamental importance in securing communications and are now extensively deployed for use in various real-world network applications. In this work, we reveal major previously unpublished security vulnerabilities in the password-based authenticated three-party key exchange protocol according to Lee and Hwang (2010: (1 the Lee-Hwang protocol is susceptible to a man-in-the-middle attack and thus fails to achieve implicit key authentication; (2 the protocol cannot protect clients’ passwords against an offline dictionary attack; and (3 the indistinguishability-based security of the protocol can be easily broken even in the presence of a passive adversary. We also propose an improved password-based authenticated three-party key exchange protocol that addresses the security vulnerabilities identified in the Lee-Hwang protocol.

Enhanced Structural Interpretation Using Multitrace Seismic Attribute For Oligo-Miocene Target at Madura Strait Offshore

Science.gov (United States)

Pratama Wahyu Hidayat, Putra; Hary Murti, Antonius; Sudarmaji; Shirly, Agung; Tiofan, Bani; Damayanti, Shinta

2018-03-01

Geometry is an important parameter for the field of hydrocarbon exploration and exploitation, it has significant effect to the amount of resources or reserves, rock spreading, and risk analysis. The existence of geological structure or fault becomes one factor affecting geometry. This study is conducted as an effort to enhance seismic image quality in faults dominated area namely offshore Madura Strait. For the past 10 years, Oligo-Miocene carbonate rock has been slightly explored on Madura Strait area, the main reason because migration and trap geometry still became risks to be concern. This study tries to determine the boundary of each fault zone as subsurface image generated by converting seismic data into variance attribute. Variance attribute is a multitrace seismic attribute as the derivative result from amplitude seismic data. The result of this study shows variance section of Madura Strait area having zero (0) value for seismic continuity and one (1) value for discontinuity of seismic data. Variance section shows the boundary of RMKS fault zone with Kendeng zone distinctly. Geological structure and subsurface geometry for Oligo-Miocene carbonate rock could be identified perfectly using this method. Generally structure interpretation to identify the boundary of fault zones could be good determined by variance attribute.

Comparison of cluster-based and source-attribution methods for estimating transmission risk using large HIV sequence databases.

Science.gov (United States)

Le Vu, Stéphane; Ratmann, Oliver; Delpech, Valerie; Brown, Alison E; Gill, O Noel; Tostevin, Anna; Fraser, Christophe; Volz, Erik M

2018-06-01

Phylogenetic clustering of HIV sequences from a random sample of patients can reveal epidemiological transmission patterns, but interpretation is hampered by limited theoretical support and statistical properties of clustering analysis remain poorly understood. Alternatively, source attribution methods allow fitting of HIV transmission models and thereby quantify aspects of disease transmission. A simulation study was conducted to assess error rates of clustering methods for detecting transmission risk factors. We modeled HIV epidemics among men having sex with men and generated phylogenies comparable to those that can be obtained from HIV surveillance data in the UK. Clustering and source attribution approaches were applied to evaluate their ability to identify patient attributes as transmission risk factors. We find that commonly used methods show a misleading association between cluster size or odds of clustering and covariates that are correlated with time since infection, regardless of their influence on transmission. Clustering methods usually have higher error rates and lower sensitivity than source attribution method for identifying transmission risk factors. But neither methods provide robust estimates of transmission risk ratios. Source attribution method can alleviate drawbacks from phylogenetic clustering but formal population genetic modeling may be required to estimate quantitative transmission risk factors. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Labont? Identifies Key Issues for Health Promoters in the New World Order

OpenAIRE

Raphael, Dennis

2016-01-01

For over 35 years Ronald Labonté has been critically analyzing the state of health promotion in Canada and the world. In 1981, he identified the shortcomings of the groundbreaking Lalonde Report by warning of the seductive appeal of so-called lifestyle approaches to health. Since then, he has left a trail of critical work identifying the barriers to — and opportunities for —health promotion work. More recently, he has shown how the rise of economic globalization and acceptance of neo-liberal ...

Protecting Astronaut Medical Privacy: Review of Presentations and Publications for Attributability

Science.gov (United States)

Wear, M. L.; Charvat, J. M.; Lee, L. R.; Babiak-Vazquez, A.; Mason, S. S.; Van Baalen, M.

2018-01-01

Retrospective research and medical data collected on astronauts can be a valuable resource for researchers. This data can be requested from two separate NASA Archives. The Lifetime Surveillance of Astronaut Health (LSAH) holds astronaut medical data, and the Life Sciences Data Archive (LSDA) holds research data. One condition of use of astronaut research and medical data is the requirement that all abstracts, publications and presentations using this data must be reviewed for attributability. All final versions of abstracts, presentations, posters, and manuscripts must be reviewed by LSDA/LSAH prior to submission to a conference, journal, or other entities outside the Principal Investigator (PI) laboratory [including the NASA Export Control Document Availability Authorization (DAA) system]. If material undergoes multiple revisions (e.g., journal editor comments), the new versions must also be reviewed by LSDA/LSAH prior to re-submission to the journal. The purpose of this review is to ensure that no personally identifiable information (PII) is included in materials that are presented in a public venue or posted to the public domain. The procedures for submitting materials for review will be outlined. The process that LSAH/LSDA follows for assessing attributability will be presented. Characteristics and parameter combinations that often prompt attributability concerns will be identified. A published case report for a National Football League (NFL) player will be used to demonstrate how, in a population of public interest, a combination of information can result in inadvertent release of private or sensitive information.

From automata to animate beings: the scope and limits of attributing socialness to artificial agents.

Science.gov (United States)

Hortensius, Ruud; Cross, Emily S

2018-05-11

Understanding the mechanisms and consequences of attributing socialness to artificial agents has important implications for how we can use technology to lead more productive and fulfilling lives. Here, we integrate recent findings on the factors that shape behavioral and brain mechanisms that support social interactions between humans and artificial agents. We review how visual features of an agent, as well as knowledge factors within the human observer, shape attributions across dimensions of socialness. We explore how anthropomorphism and dehumanization further influence how we perceive and interact with artificial agents. Based on these findings, we argue that the cognitive reconstruction within the human observer is likely to be far more crucial in shaping our interactions with artificial agents than previously thought, while the artificial agent's visual features are possibly of lesser importance. We combine these findings to provide an integrative theoretical account based on the "like me" hypothesis, and discuss the key role played by the Theory-of-Mind network, especially the temporal parietal junction, in the shift from mechanistic to social attributions. We conclude by highlighting outstanding questions on the impact of long-term interactions with artificial agents on the behavioral and brain mechanisms of attributing socialness to these agents. © 2018 New York Academy of Sciences.

Systematic Prioritization and Integrative Analysis of Copy Number Variations in Schizophrenia Reveal Key Schizophrenia Susceptibility Genes

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Luo, Xiongjian; Huang, Liang; Han, Leng; Luo, Zhenwu; Hu, Fang; Tieu, Roger; Gan, Lin

2014-01-01

Schizophrenia is a common mental disorder with high heritability and strong genetic heterogeneity. Common disease-common variants hypothesis predicts that schizophrenia is attributable in part to common genetic variants. However, recent studies have clearly demonstrated that copy number variations (CNVs) also play pivotal roles in schizophrenia susceptibility and explain a proportion of missing heritability. Though numerous CNVs have been identified, many of the regions affected by CNVs show poor overlapping among different studies, and it is not known whether the genes disrupted by CNVs contribute to the risk of schizophrenia. By using cumulative scoring, we systematically prioritized the genes affected by CNVs in schizophrenia. We identified 8 top genes that are frequently disrupted by CNVs, including NRXN1, CHRNA7, BCL9, CYFIP1, GJA8, NDE1, SNAP29, and GJA5. Integration of genes affected by CNVs with known schizophrenia susceptibility genes (from previous genetic linkage and association studies) reveals that many genes disrupted by CNVs are also associated with schizophrenia. Further protein-protein interaction (PPI) analysis indicates that protein products of genes affected by CNVs frequently interact with known schizophrenia-associated proteins. Finally, systematic integration of CNVs prioritization data with genetic association and PPI data identifies key schizophrenia candidate genes. Our results provide a global overview of genes impacted by CNVs in schizophrenia and reveal a densely interconnected molecular network of de novo CNVs in schizophrenia. Though the prioritized top genes represent promising schizophrenia risk genes, further work with different prioritization methods and independent samples is needed to confirm these findings. Nevertheless, the identified key candidate genes may have important roles in the pathogenesis of schizophrenia, and further functional characterization of these genes may provide pivotal targets for future therapeutics and

Motivational Factors of Student Nurse Athletes Attributing to Academic Success.

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Forst, Kimberly A

Student nurse athletes experience difficulties achieving academic success in nursing programs. The purpose of this study was to identify facilitators, barriers, and motivators of student nurse athletes that attribute to their academic success. Athletes ranked time management and prioritization as critical skills to success in the nursing program. This study reinforced the importance of academic support services for student nurse athletes to assist in their academic success.

Literature Review of Associations among Attributes of Reported Drinking Water Disease Outbreaks

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Grant Ligon

2016-05-01

Full Text Available Waterborne disease outbreaks attributed to various pathogens and drinking water system characteristics have adversely affected public health worldwide throughout recorded history. Data from drinking water disease outbreak (DWDO reports of widely varying breadth and depth were synthesized to investigate associations between outbreak attributes and human health impacts. Among 1519 outbreaks described in 475 sources identified during review of the primarily peer-reviewed, English language literature, most occurred in the U.S., the U.K. and Canada (in descending order. The outbreaks are most frequently associated with pathogens of unknown etiology, groundwater and untreated systems, and catchment realm-associated deficiencies (i.e., contamination events. Relative frequencies of outbreaks by various attributes are comparable with those within other DWDO reviews, with water system size and treatment type likely driving most of the (often statistically-significant at p < 0.05 differences in outbreak frequency, case count and attack rate. Temporal analysis suggests that while implementation of surface (drinking water management policies is associated with decreased disease burden, further strengthening of related policies is needed to address the remaining burden attributed to catchment and distribution realm-associated deficiencies and to groundwater viral and disinfection-only system outbreaks.

A Model to Identify the Most Effective Business Rule in Information Systems using Rough Set Theory: Study on Loan Business Process

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Mohammad Aghdasi

2011-09-01

In this paper, a practical model is used to identify the most effective rules in information systems. In this model, first, critical business attributes which fit to strategic expectations are taken into account. These are the attributes which their changes are more important than others in achieving the strategic expectations. To identify these attributes we utilize rough set theory. Those business rules which use critical information attribute in their structures are identified as the most effective business rules. The Proposed model helps information system developers to identify scope of effective business rules. It causes a decrease in time and cost of information system maintenance. Also it helps business analyst to focus on managing critical business attributes in order to achieve a specific goal.

Regional scale prioritisation for key ecosystem services, renewable energy production and urban development.

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Casalegno, Stefano; Bennie, Jonathan J; Inger, Richard; Gaston, Kevin J

2014-01-01

Although the importance of addressing ecosystem service benefits in regional land use planning and decision-making is evident, substantial practical challenges remain. In particular, methods to identify priority areas for the provision of key ecosystem services and other environmental services (benefits from the environment not directly linked to the function of ecosystems) need to be developed. Priority areas are locations which provide disproportionally high benefits from one or more service. Here we map a set of ecosystem and environmental services and delineate priority areas according to different scenarios. Each scenario is produced by a set of weightings allocated to different services and corresponds to different landscape management strategies which decision makers could undertake. Using the county of Cornwall, U.K., as a case study, we processed gridded maps of key ecosystem services and environmental services, including renewable energy production and urban development. We explored their spatial distribution patterns and their spatial covariance and spatial stationarity within the region. Finally we applied a complementarity-based priority ranking algorithm (zonation) using different weighting schemes. Our conclusions are that (i) there are two main patterns of service distribution in this region, clustered services (including agriculture, carbon stocks, urban development and plant production) and dispersed services (including cultural services, energy production and floods mitigation); (ii) more than half of the services are spatially correlated and there is high non-stationarity in the spatial covariance between services; and (iii) it is important to consider both ecosystem services and other environmental services in identifying priority areas. Different weighting schemes provoke drastic changes in the delineation of priority areas and therefore decision making processes need to carefully consider the relative values attributed to different services.

Identifying key conservation threats to Alpine birds through expert knowledge

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Pedrini, Paolo; Brambilla, Mattia; Rolando, Antonio; Girardello, Marco

2016-01-01

Alpine biodiversity is subject to a range of increasing threats, but the scarcity of data for many taxa means that it is difficult to assess the level and likely future impact of a given threat. Expert opinion can be a useful tool to address knowledge gaps in the absence of adequate data. Experts with experience in Alpine ecology were approached to rank threat levels for 69 Alpine bird species over the next 50 years for the whole European Alps in relation to ten categories: land abandonment, climate change, renewable energy, fire, forestry practices, grazing practices, hunting, leisure, mining and urbanization. There was a high degree of concordance in ranking of perceived threats among experts for most threat categories. The major overall perceived threats to Alpine birds identified through expert knowledge were land abandonment, urbanization, leisure and forestry, although other perceived threats were ranked highly for particular species groups (renewable energy and hunting for raptors, hunting for gamebirds). For groups of species defined according to their breeding habitat, open habitat species and treeline species were perceived as the most threatened. A spatial risk assessment tool based on summed scores for the whole community showed threat levels were highest for bird communities of the northern and western Alps. Development of the approaches given in this paper, including addressing biases in the selection of experts and adopting a more detailed ranking procedure, could prove useful in the future in identifying future threats, and in carrying out risk assessments based on levels of threat to the whole bird community. PMID:26966659

Identifying key conservation threats to Alpine birds through expert knowledge

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Dan E. Chamberlain

2016-02-01

Full Text Available Alpine biodiversity is subject to a range of increasing threats, but the scarcity of data for many taxa means that it is difficult to assess the level and likely future impact of a given threat. Expert opinion can be a useful tool to address knowledge gaps in the absence of adequate data. Experts with experience in Alpine ecology were approached to rank threat levels for 69 Alpine bird species over the next 50 years for the whole European Alps in relation to ten categories: land abandonment, climate change, renewable energy, fire, forestry practices, grazing practices, hunting, leisure, mining and urbanization. There was a high degree of concordance in ranking of perceived threats among experts for most threat categories. The major overall perceived threats to Alpine birds identified through expert knowledge were land abandonment, urbanization, leisure and forestry, although other perceived threats were ranked highly for particular species groups (renewable energy and hunting for raptors, hunting for gamebirds. For groups of species defined according to their breeding habitat, open habitat species and treeline species were perceived as the most threatened. A spatial risk assessment tool based on summed scores for the whole community showed threat levels were highest for bird communities of the northern and western Alps. Development of the approaches given in this paper, including addressing biases in the selection of experts and adopting a more detailed ranking procedure, could prove useful in the future in identifying future threats, and in carrying out risk assessments based on levels of threat to the whole bird community.

Self-harming behavior of a parent with borderline personality disorder assessed using revealed preference and attributional approaches: a case study.

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Tustin, R Don

2002-08-01

This article discusses a case study involving a parent with Borderline Personality Disorder who exhibited self-harming behaviors. Assessment and intervention were based both on a review of the client's attributions about causes of her own behavior as being either internalizing or externalizing, and on a review of motivation of the behaviors using functional analysis. Antecedent situations for self-harming behaviors were identified to provide a basis for reviewing the client's attributions of reasons for disordered behavior. A new technique of functional analysis was applied using the principle of revealed preference arising from behavioral economics. Revealed preference identified outcomes that were valued by the client, enabling new responses to be identified to attain these reinforcers. Attribution re-training was provided. Significant reductions in self-harming behaviors were achieved during brief therapy and were maintained during follow-up.

Attributional Style and Depression in Multiple Sclerosis

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Arnett, Peter A.

2013-01-01

Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS in 52 patients with MS to test the LH theory in this population and to determine possible differences between illness-related and non-illness-related attributions. Patients were administered measures of attributional style, daily stressors, disability, and depressive symptoms. Participants were more likely to list non-MS-related than MS-related causes of negative events on the Attributional Style Questionnaire (ASQ), and more-disabled participants listed significantly more MS-related causes than did less-disabled individuals. Non-MS-related attributional style correlated with stress and depressive symptoms, but MS-related attributional style did not correlate with disability or depressive symptoms. Stress mediated the effect of non-MS-related attributional style on depressive symptoms. These results suggest that, although attributional style appears to be an important construct in MS, it does not seem to be related directly to depressive symptoms; rather, it is related to more perceived stress, which in turn is related to increased depressive symptoms. PMID:24453767

The application of the lake ecosystem index in multi-attribute decision analysis in radioecology

International Nuclear Information System (INIS)

Haakanson, Lars; Gallego, Eduardo; Rios-Insua, Sixto

2000-01-01

This work gives a summary of multi-attribute analysis (MAA) and its use in decision support systems for radiological and environmental contamination problems and presents a modification of the lake ecosystem index (LEI) as a tool to give an holistic account for the environmental (and not just radiological) consequences of chemical remedial measures (lake and wet land liming, potash treatment and lake fertilisation) carried out to reduce radionuclide levels in water, sediments and biota. The first step in determining a LEI-value is to set normal or initial values of two important limnological state variables, pH and total-P. The second step involves predicting state indices describing the abundance of key functional groups (the fish yield and biomasses of phytoplankton and bottom fauna). The next step concerns the definition of a lake ecosystem index based on the state indices. The final step is the derivation of the utility function to be used in the multi-attribute analysis to compare environmental, economical and social attributes of different dimensions (ECU, kg, Bq/kg, etc.). The ecosystem index characterises the entire lake over longer periods of time (months), and not specific sites in lakes or specific sampling events

Detection and attribution of nitrogen runoff trend in China's croplands.

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Hou, Xikang; Zhan, Xiaoying; Zhou, Feng; Yan, Xiaoyuan; Gu, Baojing; Reis, Stefan; Wu, Yali; Liu, Hongbin; Piao, Shilong; Tang, Yanhong

2018-03-01

Reliable detection and attribution of changes in nitrogen (N) runoff from croplands are essential for designing efficient, sustainable N management strategies for future. Despite the recognition that excess N runoff poses a risk of aquatic eutrophication, large-scale, spatially detailed N runoff trends and their drivers remain poorly understood in China. Based on data comprising 535 site-years from 100 sites across China's croplands, we developed a data-driven upscaling model and a new simplified attribution approach to detect and attribute N runoff trends during the period of 1990-2012. Our results show that N runoff has increased by 46% for rice paddy fields and 31% for upland areas since 1990. However, we acknowledge that the upscaling model is subject to large uncertainties (20% and 40% as coefficient of variation of N runoff, respectively). At national scale, increased fertilizer application was identified as the most likely driver of the N runoff trend, while decreased irrigation levels offset to some extent the impact of fertilization increases. In southern China, the increasing trend of upland N runoff can be attributed to the growth in N runoff rates. Our results suggested that increased SOM led to the N runoff rate growth for uplands, but led to a decline for rice paddy fields. In combination, these results imply that improving management approaches for both N fertilizer use and irrigation is urgently required for mitigating agricultural N runoff in China. Copyright © 2017 Elsevier Ltd. All rights reserved.

Parental Attributions for the Behavior Problems of Children and Adolescents With Autism Spectrum Disorders

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Hartley, Sigan L.; Schaidle, Emily M.; Burnson, Cynthia F.

2014-01-01

Objective The authors examined parental attributions for child behavior problems in 63 married couples of children and adolescents (aged 3–20 years) with autism spectrum disorders (ASDs). Both child-referent attributions (i.e., beliefs about causes related to the child or adolescent) and parent-referent attributions (i.e., beliefs about causes related to the parent) were examined along the dimensions of locus, stability, and controllability. Parent and child/adolescent factors related to parental attributions were identified, and the associations between parental attributions and parenting burden were explored. Method Mothers and fathers independently completed self-reported measures of parental attributions, parenting burden, and child behavior problems. Couples jointly reported on their son or daughter’s severity of autism symptoms, intellectual disability status, age, and gender. Results Parents tended to attribute the behavior problems of their child/adolescent with an ASD to characteristics that were not only internal to and stable in the child/adolescent but also controllable by the child/adolescent. Mothers were more likely to attribute their son or daughter’s behavior problems to characteristics that were less internal to and less stable in the child/adolescent with an ASD than were fathers. In addition, parents with a higher level of symptoms of the broader autism phenotype, parents of younger children, and parents of children/adolescents with intellectual disability, a higher severity of autism symptoms, and a higher severity of overall behavior problems were more likely to attribute their son or daughter’s behavior problems to characteristics that were more internal to and stable in the child/adolescent and factors that were less controllable by the child/adolescent. Parental attributions were related to parents’ level of parenting burden. Implications Findings have implications for designing appropriate interventions and services for families

Parental attributions for the behavior problems of children and adolescents with autism spectrum disorders.

Science.gov (United States)

Hartley, Sigan L; Schaidle, Emily M; Burnson, Cynthia F

2013-01-01

The authors examined parental attributions for child behavior problems in 63 married couples of children and adolescents (aged 3-20 years) with autism spectrum disorders (ASDs). Both child-referent attributions (i.e., beliefs about causes related to the child or adolescent) and parent-referent attributions (i.e., beliefs about causes related to the parent) were examined along the dimensions of locus, stability, and controllability. Parent and child/adolescent factors related to parental attributions were identified, and the associations between parental attributions and parenting burden were explored. Mothers and fathers independently completed self-reported measures of parental attributions, parenting burden, and child behavior problems. Couples jointly reported on their son or daughter's severity of autism symptoms, intellectual disability status, age, and gender. Parents tended to attribute the behavior problems of their child/adolescent with an ASD to characteristics that were not only internal to and stable in the child/adolescent but also controllable by the child/adolescent. Mothers were more likely to attribute their son or daughter's behavior problems to characteristics that were less internal to and less stable in the child/adolescent with an ASD than were fathers. In addition, parents with a higher level of symptoms of the broader autism phenotype, parents of younger children, and parents of children/adolescents with intellectual disability, a higher severity of autism symptoms, and a higher severity of overall behavior problems were more likely to attribute their son or daughter's behavior problems to characteristics that were more internal to and stable in the child/adolescent and factors that were less controllable by the child/adolescent. Parental attributions were related to parents' level of parenting burden. Findings have implications for designing appropriate interventions and services for families of children and adolescents with ASDs.

Detection and attribution of extreme weather disasters

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Huggel, Christian; Stone, Dáithí; Hansen, Gerrit

2014-05-01

Single disasters related to extreme weather events have caused loss and damage on the order of up to tens of billions US dollars over the past years. Recent disasters fueled the debate about whether and to what extent these events are related to climate change. In international climate negotiations disaster loss and damage is now high on the agenda, and related policy mechanisms have been discussed or are being implemented. In view of funding allocation and effective risk reduction strategies detection and attribution to climate change of extreme weather events and disasters is a key issue. Different avenues have so far been taken to address detection and attribution in this context. Physical climate sciences have developed approaches, among others, where variables that are reasonably sampled over climatically relevant time periods and related to the meteorological characteristics of the extreme event are examined. Trends in these variables (e.g. air or sea surface temperatures) are compared between observations and climate simulations with and without anthropogenic forcing. Generally, progress has been made in recent years in attribution of changes in the chance of some single extreme weather events to anthropogenic climate change but there remain important challenges. A different line of research is primarily concerned with losses related to the extreme weather events over time, using disaster databases. A growing consensus is that the increase in asset values and in exposure are main drivers of the strong increase of economic losses over the past several decades, and only a limited number of studies have found trends consistent with expectations from climate change. Here we propose a better integration of existing lines of research in detection and attribution of extreme weather events and disasters by applying a risk framework. Risk is thereby defined as a function of the probability of occurrence of an extreme weather event, and the associated consequences

Metabolic profiles of triple-negative and luminal A breast cancer subtypes in African-American identify key metabolic differences.

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Tayyari, Fariba; Gowda, G A Nagana; Olopade, Olufunmilayo F; Berg, Richard; Yang, Howard H; Lee, Maxwell P; Ngwa, Wilfred F; Mittal, Suresh K; Raftery, Daniel; Mohammed, Sulma I

2018-02-20

Breast cancer, a heterogeneous disease with variable pathophysiology and biology, is classified into four major subtypes. While hormonal- and antibody-targeted therapies are effective in the patients with luminal and HER-2 subtypes, the patients with triple-negative breast cancer (TNBC) subtype do not benefit from these therapies. The incidence rates of TNBC subtype are higher in African-American women, and the evidence indicates that these women have worse prognosis compared to women of European descent. The reasons for this disparity remain unclear but are often attributed to TNBC biology. In this study, we performed metabolic analysis of breast tissues to identify how TNBC differs from luminal A breast cancer (LABC) subtypes within the African-American and Caucasian breast cancer patients, respectively. We used High-Resolution Magic Angle Spinning (HR-MAS) 1H Nuclear magnetic resonance (NMR) to perform the metabolomic analysis of breast cancer and adjacent normal tissues (total n=82 samples). TNBC and LABC subtypes in African American women exhibited different metabolic profiles. Metabolic profiles of these subtypes were also distinct from those revealed in Caucasian women. TNBC in African-American women expressed higher levels of glutathione, choline, and glutamine as well as profound metabolic alterations characterized by decreased mitochondrial respiration and increased glycolysis concomitant with decreased levels of ATP. TNBC in Caucasian women was associated with increased pyrimidine synthesis. These metabolic alterations could potentially be exploited as novel treatment targets for TNBC.

A qualitative study on the attributes of nurses' workplace social capital in Japan.

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Norikoshi, Kensuke; Kobayashi, Toshio; Tabuchi, Keiji

2018-01-01

To identify attributes of nurses' workplace social capital in Japan. Much attention has been paid to nurses' workplace social capital to improve the quality of the work environment; however, few studies are available on the attributes of nurses' workplace social capital. Semi-structured interviews were conducted with 32 nurses at seven hospitals. Nurses reported on the attributes of workplace social capital, such as characteristics facilitating individual positive action in an organisation, which were qualitatively analysed using the Kawakita Jiro method. The attributes of nurses' workplace social capital were organised into six groups: affirmation; exchange of appreciation; unrestricted information sharing; ability to trust; access to the strength; and altruistic reciprocity. The attributes of nurses' workplace social capital included a social structure that allowed nurses to make full use of their abilities both vertically and horizontally and were supported by a sense of security. In particular, newly emerged exchange of appreciation and altruistic reciprocity were important for nurses in Japan in building cooperative relationships with others. Managing human relationships, such as exchange of appreciation and altruistic reciprocity, in clinical settings based on nurses' workplace social capital may promote positive emotions in the organisation, positive ideas among staff and cooperative teamwork, which may lead to high-quality patient care. © 2017 John Wiley & Sons Ltd.

Setting Organizational Key Performance Indicators in the Precision Machine Industry

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Mei-Hsiu Hong

2015-11-01

Full Text Available The aim of this research is to define (or set organizational key performance indicators (KPIs in the precision machine industry using the concept of core competence and the supply chain operations reference (SCOR model. The research is conducted in three steps. In the first step, a benchmarking study is conducted to collect major items of core competence and to group them into main categories in order to form a foundation for the research. In the second step, a case company questionnaire and interviews are conducted to identify the key factors of core competence in the precision machine industry. The analysis is conducted based on four dimensions and hence several analysis rounds are completed. Questionnaire data is analyzed with grey relational analysis (GRA and resulted in 5–6 key factors in each dimension or sub-dimension. Based on the conducted interviews, 13 of these identified key factors are separated into one organization objective, five key factors of core competence and seven key factors of core ability. In the final step, organizational KPIs are defined (or set for the five identified key factors of core competence. The most competitive core abilities for each of the five key factors are established. After that, organizational KPIs are set based on the core abilities within 3 main categories of KPIs (departmental, office grade and hierarchal for each key factor. The developed KPI system based on organizational objectives, core competences, and core abilities allow enterprises to handle dynamic market demand and business environments, as well as changes in overall corporate objectives.

Attribute Perception Mapping Services Domestic Airlines Using Correspondence Analysis (59-67

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Reni Heviandri Riandarini

2016-06-01

Full Text Available Positioning analysis provides a better understanding of the position based on the perception of passenger flights to service these attributes attached to each airline. This study aims to perform positioning of the domestic airline services based attributes, which characterize the airline based on the perception of consumers. Correspondence Analysis (CA is used to determine the positioning of the six commercial airlines in Indonesia. The results of correspondence analysis showed that the airline Garuda, Lion Air, Citilink and Air Asia already has its own characteristics inherent in the minds of consumers, while the two other airlines, namely Batik Air and Sriwijaya Air has not had a special identifier.Keywords: Positioning, Correspondence Analysis, Full Service Airline (FSA, Low Fare Airline (LFA

Technology, attributions, and emotions in post-secondary education: An application of Weiner’s attribution theory to academic computing problems

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Hall, Nathan C.; Goetz, Thomas; Chiarella, Andrew; Rahimi, Sonia

2018-01-01

As technology becomes increasingly integrated with education, research on the relationships between students’ computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner’s (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study. PMID:29529039

Reasons and meanings attributed by women who experienced induced abortion: an integrative review

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Sandra Elisa Sell

2015-06-01

Full Text Available OBJECTIVE Identifying the contribution of developed research on what motivates women to induce an abortion and the meaning attributed to these experiences in their lives. METHOD An integrative review conducted in MEDLINE/PubMed, LILACS, BDENF, CINAHL and SciELO databases, covering the periods from 2001 to 2011. RESULTS We selected and analyzed 11 studies with selection criteria being reasons given by women for inducing abortion and/or the meaning attributed to this experience in their lives, including social, religious, ethical and moral aspects related to this practice, as well as the suffering experienced from the experience. The illegality of abortion is identified as a risk factor for unsafe abortions, reaffirming this issue as a public health and social justice problem. CONCLUSION Results evidence aspects that can contribute to improving health quality and ratify the importance of research to support nursing practices.

Understanding perceptions of stuttering among school-based speech-language pathologists: an application of attribution theory.

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Boyle, Michael P

2014-01-01

The purpose of this study was to investigate whether attribution theory could explain speech-language pathologists (SLPs) perceptions of children with communication disorders such as stuttering. Specifically, it was determined whether perceptions of onset and offset controllability, as well as biological and non-biological attributions for communication disorders were related to willingness to help, sympathy, and anger toward children with these disorders. It was also of interest to determine if blame for stuttering was related to perceived controllability of stuttering and negative attitudes toward people who stutter (PWS). A survey was developed to measure perceived onset and offset controllability, biological and non-biological attributions, willingness to help, sympathy, and anger toward middle school children with developmental stuttering, functional articulation disorders, and cerebral palsy. In addition, a scale was developed to measure blame and negative attitudes toward PWS in general. Surveys were mailed to 1000 school-based SLPs. Data from 330 participants were analyzed. Supporting the hypotheses of attribution theory, higher perceived onset and offset controllability of the disorder was linked to less willingness to help, lower sympathy, and more anger across conditions. Increased biological attributions were associated with more reported sympathy. Increased blame for stuttering was linked to higher perceived controllability of stuttering, more dislike of PWS, and more agreement with negative stereotypes about PWS. Educating SLPs about the variable loss of control inherent in stuttering could improve attitudes and increase understanding of PWS. Reductions in blame may facilitate feelings of sympathy and empathy for PWS and reduce environmental barriers for clients. Learning outcomes Readers should be able to: (1) identify the main principles of Weiner's attribution theory (2) identify common negative perceptions of people who stutter (3) describe how

Organizational Attributes, Market Growth, and Product Innovation

NARCIS (Netherlands)

Song, Michael; Chen, Yan

2014-01-01

Extensive research has shown that organizational attributes affect product innovation. Extending this literature, this article delimits two general categories of organizational attributes and relates them to product innovation. Organizational attributes can be either control oriented or flexibility

Attributable Cost of Clostridium difficile Infection in Pediatric Patients.

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Mehrotra, Preeti; Jang, Jisun; Gidengil, Courtney; Sandora, Thomas J

2017-12-01

OBJECTIVES The attributable cost of Clostridium difficile infection (CDI) in children is unknown. We sought to determine a national estimate of attributable cost and length of stay (LOS) of CDI occurring during hospitalization in children. DESIGN AND METHODS We analyzed discharge records of patients between 2 and 18 years of age from the Agency for Healthcare Research and Quality (AHRQ) Kids' Inpatient Database. We created a logistic regression model to predict CDI during hospitalization based on demographic and clinical characteristics. Predicted probabilities from the logistic regression model were then used as propensity scores to match 1:2 CDI to non-CDI cases. Charges were converted to costs and compared between patients with CDI and propensity-score-matched controls. In a sensitivity analysis, we adjusted for LOS as a confounder by including it in both the propensity score and a generalized linear model predicting cost. RESULTS We identified 8,527 pediatric hospitalizations (0.53%) with a diagnosis of CDI and 1,597,513 discharges without CDI. In our matched cohorts, the attributable cost of CDI occurring during a hospitalization ranged from $1,917 to $8,317, depending on whether model was adjusted for LOS. When not adjusting for LOS, CDI-associated hospitalizations cost 1.6 times more than non-CDI associated hospitalizations. Attributable LOS of CDI was approximately 4 days. CONCLUSIONS Clostridium difficile infection in hospitalized children is associated with an economic burden similar to adult estimates. This finding supports a continued focus on preventing CDI in children as a priority. Pediatric CDI cost analyses should account for LOS as an important confounder of cost. Infect Control Hosp Epidemiol 2017;38:1472-1477.

Influences of Product Temperature on Emotional Responses to, and Sensory Attributes of, Coffee and Green Tea Beverages

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Pramudya, Ragita C.; Seo, Han-Seok

2018-01-01

Coffee and green tea are popular beverages consumed at both hot and cold temperatures. When people consume hot beverages concurrently with other activities, they may experience at different temperatures over the period of consumption. However, there has been limited research investigating the effects of product temperatures on emotional responses and sensory attributes of beverages. This study aimed to determine whether emotional responses to, and sensory attributes of, brewed coffee and green tea vary as a function of sample temperature. Using a check-all-that-apply (CATA) method, 157 participants (79 for coffee and 78 for green tea) were asked to evaluate either coffee or green tea samples served at cold (5°C), ambient (25°C), and hot (65°C) temperatures with respect to emotional responses and sensory attributes. The results showed that sample temperature could have significant influences on emotional responses to, and sensory attributes of, coffee and green tea samples. More specifically, 6 and 18 sensory attributes of coffee and green tea samples, respectively, significantly differed with sample temperature. Beverage samples evaluated at 65°C were characterized, regardless of activation/arousal level, by positive emotional responses terms and favorable sensory attributes. While beverages evaluated at 25°C were associated more with negative emotional responses with low activation/arousal, those evaluated at 5°C were more frequently characterized as having negative emotional responses with high activation/arousal. Sensory and emotional drivers of liking for both coffee and green tea differed both with sample temperature and gender. While both emotional responses and sensory attributes were identified as drivers of liking among females, only emotional responses were identified as drivers of liking among males. In conclusion, this study provides empirical evidence that both emotional responses to, and sensory attributes of, coffee and green tea beverages can

Fundamental(ist) attribution error: Protestants are dispositionally focused.

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Li, Yexin Jessica; Johnson, Kathryn A; Cohen, Adam B; Williams, Melissa J; Knowles, Eric D; Chen, Zhansheng

2012-02-01

Attribution theory has long enjoyed a prominent role in social psychological research, yet religious influences on attribution have not been well studied. We theorized and tested the hypothesis that Protestants would endorse internal attributions to a greater extent than would Catholics, because Protestantism focuses on the inward condition of the soul. In Study 1, Protestants made more internal, but not external, attributions than did Catholics. This effect survived controlling for Protestant work ethic, need for structure, and intrinsic and extrinsic religiosity. Study 2 showed that the Protestant-Catholic difference in internal attributions was significantly mediated by Protestants' greater belief in a soul. In Study 3, priming religion increased belief in a soul for Protestants but not for Catholics. Finally, Study 4 found that experimentally strengthening belief in a soul increased dispositional attributions among Protestants but did not change situational attributions. These studies expand the understanding of cultural differences in attributions by demonstrating a distinct effect of religion on dispositional attributions.

SUPPLY CHAIN MANAGEMENT – KEY FACTORS

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Magdalena Daniela DINU

2014-06-01

Full Text Available This paper exposes Supply Chain Management by its key factors. Briefly, where the Supply Chain Management is treated as strategic part of a company then maintaining both control and influence throughout the entire supply chain are key factors and critical to success. On the other hand, finding the right partner to manage the non-strategic Supply Chains would be another key factor too. To define the most important key factors within Supply Chain Management means a deeply understanding of both Supply Chain’ s components, procedures, workflow, processes and the importance of Supply Chain Management into maximizing company's value. SCORE model able to provide solid information about measuring performance and identifying priorities within Supply Chain Management will help us to understand the key factors by analyzing its elements: Plan, Source, Make, Deliver,Return, Enable. These elements covers all the challenging areas from first to third tier of Supply Chain Management.

Crucial contextual attributes of nursing leadership towards a care ethics.

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Gustafsson, Lena-Karin; Stenberg, Maja

2017-06-01

It is of importance to understand and communicate caring ethics as a ground for qualitative caring environments. Research is needed on nursing attributes that are visible in nursing leadership since it may give bases for reflections related to the patterns of specific contexts. The aim of this study was to illuminate the meaning of crucial attributes in nursing leadership toward an ethical care of patients in psychiatric in-patient settings. The design of the study was descriptive and qualitative with a phenomenological hermeneutical approach. Participants and research context: The study comprised focus group interviews with nurses working in indoor psychiatric care who participated after giving informed consent. Ethical considerations: Since the topic and informants are not labeled as sensitive and subject to ethical approval, it is not covered by the ethics committee's aim and purpose according to Swedish law. However, careful procedures have been followed according to ethics expressed in the Declaration of Helsinki. When identifying the thematic structures, analysis resulted in three major themes: To supply, including the following aspects: to supply evidence, to supply common space, and to supply good structures; To support, including the following aspects: to be a role model, to show appreciation and care, and to harbor; To shield, including the following aspects: to advocate, to emit non-tolerance of unethical behavior, and to reprove. Leadership is challenging for nurses and plays an important role in ethical qualitative care. These findings should not be understood as a description about nurse manager's role, which probably has different attributes and more focus on an organizational level. Making the understanding about crucial attributes explicit, the nurse may receive confirmation and recognition of crucial attributes for ethical care in order to move toward an ethical care.

HESS Opinions "More efforts and scientific rigour are needed to attribute trends in flood time series"

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Y. Hundecha

2012-05-01

Full Text Available The question whether the magnitude and frequency of floods have changed due to climate change or other drivers of change is of high interest. The number of flood trend studies is rapidly rising. When changes are detected, many studies link the identified change to the underlying causes, i.e. they attribute the changes in flood behaviour to certain drivers of change. We propose a hypothesis testing framework for trend attribution which consists of essential ingredients for a sound attribution: evidence of consistency, evidence of inconsistency, and provision of confidence statement. Further, we evaluate the current state-of-the-art of flood trend attribution. We assess how selected recent studies approach the attribution problem, and to which extent their attribution statements seem defendable. In our opinion, the current state of flood trend attribution is poor. Attribution statements are mostly based on qualitative reasoning or even speculation. Typically, the focus of flood trend studies is the detection of change, i.e. the statistical analysis of time series, and attribution is regarded as an appendix: (1 flood time series are analysed by means of trend tests, (2 if a significant change is detected, a hypothesis on the cause of change is given, and (3 explanations or published studies are sought which support the hypothesis. We believe that we need a change in perspective and more scientific rigour: detection should be seen as an integral part of the more challenging attribution problem, and detection and attribution should be placed in a sound hypothesis testing framework.

Determination of the impact of RGB points cloud attribute quality on color-based segmentation process

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Bartłomiej Kraszewski

2015-06-01

Full Text Available The article presents the results of research on the effect that radiometric quality of point cloud RGB attributes have on color-based segmentation. In the research, a point cloud with a resolution of 5 mm, received from FAROARO Photon 120 scanner, described the fragment of an office’s room and color images were taken by various digital cameras. The images were acquired by SLR Nikon D3X, and SLR Canon D200 integrated with the laser scanner, compact camera Panasonic TZ-30 and a mobile phone digital camera. Color information from images was spatially related to point cloud in FAROARO Scene software. The color-based segmentation of testing data was performed with the use of a developed application named “RGB Segmentation”. The application was based on public Point Cloud Libraries (PCL and allowed to extract subsets of points fulfilling the criteria of segmentation from the source point cloud using region growing method.Using the developed application, the segmentation of four tested point clouds containing different RGB attributes from various images was performed. Evaluation of segmentation process was performed based on comparison of segments acquired using the developed application and extracted manually by an operator. The following items were compared: the number of obtained segments, the number of correctly identified objects and the correctness of segmentation process. The best correctness of segmentation and most identified objects were obtained using the data with RGB attribute from Nikon D3X images. Based on the results it was found that quality of RGB attributes of point cloud had impact only on the number of identified objects. In case of correctness of the segmentation, as well as its error no apparent relationship between the quality of color information and the result of the process was found.[b]Keywords[/b]: terrestrial laser scanning, color-based segmentation, RGB attribute, region growing method, digital images, points cloud

QUALITY ATTRIBUTES IN COST MANAGEMENT AND ACCOUNTING SUBJECTS: THE STUDENTS’ VIEWPOINT

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Jucelia Appio Tibola

2012-11-01

Full Text Available The aim in this research is to identify the quality attributes students perceive in cost management and accounting subjects. The subjects were 126 students who took the subjects Cost Applied to Administration, Cost Accounting and Cost Analysis, corresponding to all students in the semester during which the research was undertaken. Thus, a census study was adopted. The research institution is a public university that offers graduate (M.Sc. and Ph.D. programs in Accountancy and Business Administration, particularly in the South of Brazil. An exploratory and qualitative research design was used in the first part and a descriptive and quantitative design in the second. Data were collected with the help of a structured questionnaire with open questions, applying the Critical Incident Technique. Content Analysis was used to classify and categorize the respondents’ answers into units of meaning. In the second phase, these categories were transformed into categorical variables and analyzed through statistical procedures. The results evidenced that the quality attributes constituted an Axis. In the Cost Analysis subjects, they privileged the lecturer’s quality. In Cost Accounting, the students evidenced the teacher’s commitment and the application of practical examples as a relevant attribute. In Cost Applied to Administration, the results indicated that understanding about the subject, clarification of doubts and the lecturer’s didactics served as quality attributes.

Key drivers of airline loyalty.

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Dolnicar, Sara; Grabler, Klaus; Grün, Bettina; Kulnig, Anna

2011-10-01

This study investigates drivers of airline loyalty. It contributes to the body of knowledge in the area by investigating loyalty for a number of a priori market segments identified by airline management and by using a method which accounts for the multi-step nature of the airline choice process. The study is based on responses from 687 passengers. Results indicate that, at aggregate level, frequent flyer membership, price, the status of being a national carrier and the reputation of the airline as perceived by friends are the variables which best discriminate between travellers loyal to the airline and those who are not. Differences in drivers of airline loyalty for a number of segments were identified. For example, loyalty programs play a key role for business travellers whereas airline loyalty of leisure travellers is difficult to trace back to single factors. For none of the calculated models satisfaction emerged as a key driver of airline loyalty.

Attributions of blame and responsibility in sexual harassment: reexamining a psychological model.

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Klein, Kristen M; Apple, Kevin J; Kahn, Arnold S

2011-04-01

Kelley's (Nebr Symp Motiv 15:192-238, 1967) attribution theory can inform sexual harassment research by identifying how observers use consensus, consistency, and distinctiveness information in determining whether a target or perpetrator is responsible for a sexual harassment situation. In this study, Kelley's theory is applied to a scenario in which a male perpetrator sexually harasses a female target in a university setting. Results from 314 predominantly female college students indicate that consistency and consensus information significantly affect participants' judgments of blame and responsibility for the situation. The authors discuss the importance of the reference groups used to derive consensus and distinctiveness information, and reintroduce Kelley's attribution theory as a means of understanding observers' perceptions of sexual harassment.

SOA: A Quality Attribute Perspective

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2011-06-23

in software engineering from CMU. 6June 2011 Twitter #seiwebinar © 2011 Carnegie Mellon University Agenda Service -Oriented Architecture and... Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges 7June 2011 Twitter #seiwebinar © 2011...Architecture and Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges Review 10June 2011 Twitter

Identificação de atributos críticos de satisfação em um serviço através da análise competitiva do gap de melhoria Identifying critical attributes of satisfaction in a service using the competitive analysis of the improvement gap

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Gérson Tontini

2007-04-01

Full Text Available O presente trabalho tem por objetivo apresentar um método para identificar atributos críticos para a satisfação do cliente e oportunidades de melhoria em bens e serviços em um mercado competitivo, reduzindo os problemas apresentados pela análise através da matriz de importância e desempenho proposta por Martilla e James (1977. Quanto a sua metodologia, a pesquisa foi do tipo exploratório-descritiva. A coleta de dados se deu em dois momentos. Inicialmente, foi realizada uma discussão com um grupo de foco com oito clientes de videolocadoras, procurando-se descobrir quais os atributos-chave para sua satisfação. Em seguida, 240 clientes de videolocadoras e alunos de graduação de uma instituição de ensino superior responderam um questionário modificado do modelo proposto por Kano et al. (1984. Para classificação dos atributos, segundo o Modelo Kano, foi utilizada uma análise de gap derivada do método proposto por Tontini e Silveira (2005. Dezenove atributos foram pesquisados, sendo que destes, quatro foram classificados como atrativos, dez como obrigatórios, dois como unidimensionais e três como neutros. Conclui-se que o método de gap corrigido, proposto neste trabalho, pôde auxiliar na identificação de atributos atrativos e obrigatórios para os clientes, permitindo priorizar quais deles deveriam ser objeto de melhoria e quais poderiam se tornar fonte de diferencial competitivo, superando algumas limitações da análise de importância x desempenho e do Modelo Kano tradicional.Using attributes of Video Rental Stores as a case study, this paper presents a method to identify satisfaction attributes and improvement opportunities in products and services in a competitive market, overcoming some of the limitations of the importance performance analysis proposed by Martilla and James (1977. The methodology was of an exploratory-descriptive type. The data collection was carried out in two steps. First, a focus group with 8

The influences of attributes, skills and knowledge of managers on refurbishment project performance

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Ishak, Nurfadzillah

2018-02-01

Recently, the momentum on the growth of national building industry shows the increasing of the demand in refurbishment works becomes a trend spreading over the Malaysia. However, the potential of these activities normally related with the complexity in technical aspect compared to new build schemes. It will be reflecting on the unsatisfactory project performance. A competent manager is required to have the appropriate attributes, skills and knowledge in able to perform all the duties associated with managing the refurbishment building projects. Therefore, this paper is to identify the most appropriate attributes, skills and knowledge that required for managers to indicate the relationship between the influences on the refurbishment projects performance. This finding is indicate the importance of development the personal attributes, skills, and knowledge of managers and adds as benefit of raising the profile and image of managers in refurbishment building industry through a dissemination of the findings.

A Basic Bivariate Structure of Personality Attributes Evident Across Nine Languages.

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Saucier, Gerard; Thalmayer, Amber Gayle; Payne, Doris L; Carlson, Robert; Sanogo, Lamine; Ole-Kotikash, Leonard; Church, A Timothy; Katigbak, Marcia S; Somer, Oya; Szarota, Piotr; Szirmák, Zsofia; Zhou, Xinyue

2014-02-01

Here, two studies seek to characterize a parsimonious common-denominator personality structure with optimal cross-cultural replicability. Personality differences are observed in all human populations and cultures, but lexicons for personality attributes contain so many distinctions that parsimony is lacking. Models stipulating the most important attributes have been formulated by experts or by empirical studies drawing on experience in a very limited range of cultures. Factor analyses of personality lexicons of nine languages of diverse provenance (Chinese, Korean, Filipino, Turkish, Greek, Polish, Hungarian, Maasai, and Senoufo) were examined, and their common structure was compared to that of several prominent models in psychology. A parsimonious bivariate model showed evidence of substantial convergence and ubiquity across cultures. Analyses involving key markers of these dimensions in English indicate that they are broad dimensions involving the overlapping content of the interpersonal circumplex, models of communion and agency, and morality/warmth and competence. These "Big Two" dimensions-Social Self-Regulation and Dynamism-provide a common-denominator model involving the two most crucial axes of personality variation, ubiquitous across cultures. The Big Two might serve as an umbrella model serving to link diverse theoretical models and associated research literatures. © 2013 Wiley Periodicals, Inc.

Desired Characteristics for MSW Students and Social Work Employees: Cognitive versus Personal Attributes

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Seipel, Michael M. O.; Johnson, Jennifer D.; Walton, Elaine

2011-01-01

Selecting the best students and hiring the best social workers are important professional responsibilities. Findings from this exploratory study identify personal attributes that are significant in enabling MSW students and social work employees to succeed. Social work educators and agency administrators generally agree that personal attributes…

Country of origin image attributes as a source of competitive advantage: study in international brazilian fashion industry

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Mariana Bassi Sutter

2014-08-01

Full Text Available The study sought to understand which attributes of the country of origin image are source of international competitive advantage in the context of Brazilian fashion. From the theoretical framework related to competitive advantage, country of origin image, Brazilianness and their attributes in fashion, we conducted exploratory research with a qualitative approach. The results suggest that the image of Brazil is understood by the international fashion market in accordance with the attributes of the literature. However (i in fashion, market still does not have a steady concept on the image of Brazil, (ii Brazilianness attributes in fashion can be a source of competitive advantage in international trades if they are communicated, promoted and understood by the international market; finally, (iii among the eight Brazilianness trendy attributes identified in the literature, four were highlighted as differentiators: shape and volumes, colors, prints and lifestyle.

Identifying Patient Attitudinal Clusters Associated with Asthma Control: The European REALISE Survey.

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van der Molen, Thys; Fletcher, Monica; Price, David

Asthma is a highly heterogeneous disease that can be classified into different clinical phenotypes, and treatment may be tailored accordingly. However, factors beyond purely clinical traits, such as patient attitudes and behaviors, can also have a marked impact on treatment outcomes. The objective of this study was to further analyze data from the REcognise Asthma and LInk to Symptoms and Experience (REALISE) Europe survey, to identify distinct patient groups sharing common attitudes toward asthma and its management. Factor analysis of respondent data (N = 7,930) from the REALISE Europe survey consolidated the 34 attitudinal variables provided by the study population into a set of 8 summary factors. Cluster analyses were used to identify patient clusters that showed similar attitudes and behaviors toward each of the 8 summary factors. Five distinct patient clusters were identified and named according to the key characteristics comprising that cluster: "Confident and self-managing," "Confident and accepting of their asthma," "Confident but dependent on others," "Concerned but confident in their health care professional (HCP)," and "Not confident in themselves or their HCP." Clusters showed clear variability in attributes such as degree of confidence in managing their asthma, use of reliever and preventer medication, and level of asthma control. The 5 patient clusters identified in this analysis displayed distinctly different personal attitudes that would require different approaches in the consultation room certainly for asthma but probably also for other chronic diseases. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Labonté Identifies Key Issues for Health Promoters in the New World Order Comment on "Health Promotion in an Age of Normative Equity and Rampant Inequality".

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Raphael, Dennis Raphael

2016-11-02

For over 35 years Ronald Labonté has been critically analyzing the state of health promotion in Canada and the world. In 1981, he identified the shortcomings of the groundbreaking Lalonde Report by warning of the seductive appeal of so-called lifestyle approaches to health. Since then, he has left a trail of critical work identifying the barriers to - and opportunities for -health promotion work. More recently, he has shown how the rise of economic globalization and acceptance of neo-liberal ideology has come to threaten the health of those in both developed and developing nations. In his recent commentary, Labonté shows how the United Nations' 2015 Sustainable Development Goals (SDGs) can offer a new direction for health promoters in these difficult times. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Key Research Issues in Clostridium difficile

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George Zhanel

2005-01-01

Full Text Available Clostridium difficile is an emerging pathogen that causes C difficile-associated diarrhea, an important nosocomial infection. Control of this infection remains a challenge, and much needs to be determined about the antimicrobial resistance of the organism, antibiotic stewardship, contamination of the patient environment, and various host factors that determine susceptibility or resistance to infection. A national symposium focusing on C difficile infections, the Clostridium difficile Symposium on Emerging Issues and Research, was hosted on November 23, 2004, by the Department of Medical Microbiology and Infectious Diseases at the University of Manitoba, Winnipeg, Manitoba, in partnership with the Canadian Institutes of Health Research. This symposium, which aimed to summarize key research issues regarding C difficile infections in Canada, had the following objectives: to provide a forum for learning and discussion about C difficile and its impact on the health of Canadians; to identify the key research issues that should be addressed; and to explore potential research funding opportunities and collaboration. The present report summarizes key research issues identified for C difficile infections in Canada by addressing four major themes: diagnosis and surveillance, infection prevention and control, antibiotic stewardship, and clinical management.

Software Attribution for Geoscience Applications in the Computational Infrastructure for Geodynamics

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Hwang, L.; Dumit, J.; Fish, A.; Soito, L.; Kellogg, L. H.; Smith, M.

2015-12-01

Scientific software is largely developed by individual scientists and represents a significant intellectual contribution to the field. As the scientific culture and funding agencies move towards an expectation that software be open-source, there is a corresponding need for mechanisms to cite software, both to provide credit and recognition to developers, and to aid in discoverability of software and scientific reproducibility. We assess the geodynamic modeling community's current citation practices by examining more than 300 predominantly self-reported publications utilizing scientific software in the past 5 years that is available through the Computational Infrastructure for Geodynamics (CIG). Preliminary results indicate that authors cite and attribute software either through citing (in rank order) peer-reviewed scientific publications, a user's manual, and/or a paper describing the software code. Attributions maybe found directly in the text, in acknowledgements, in figure captions, or in footnotes. What is considered citable varies widely. Citations predominantly lack software version numbers or persistent identifiers to find the software package. Versioning may be implied through reference to a versioned user manual. Authors sometimes report code features used and whether they have modified the code. As an open-source community, CIG requests that researchers contribute their modifications to the repository. However, such modifications may not be contributed back to a repository code branch, decreasing the chances of discoverability and reproducibility. Survey results through CIG's Software Attribution for Geoscience Applications (SAGA) project suggest that lack of knowledge, tools, and workflows to cite codes are barriers to effectively implement the emerging citation norms. Generated on-demand attributions on software landing pages and a prototype extensible plug-in to automatically generate attributions in codes are the first steps towards reproducibility.

Quantifying individual variation in the propensity to attribute incentive salience to reward cues.

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Meyer, Paul J; Lovic, Vedran; Saunders, Benjamin T; Yager, Lindsay M; Flagel, Shelly B; Morrow, Jonathan D; Robinson, Terry E

2012-01-01

If reward-associated cues acquire the properties of incentive stimuli they can come to powerfully control behavior, and potentially promote maladaptive behavior. Pavlovian incentive stimuli are defined as stimuli that have three fundamental properties: they are attractive, they are themselves desired, and they can spur instrumental actions. We have found, however, that there is considerable individual variation in the extent to which animals attribute Pavlovian incentive motivational properties ("incentive salience") to reward cues. The purpose of this paper was to develop criteria for identifying and classifying individuals based on their propensity to attribute incentive salience to reward cues. To do this, we conducted a meta-analysis of a large sample of rats (N = 1,878) subjected to a classic Pavlovian conditioning procedure. We then used the propensity of animals to approach a cue predictive of reward (one index of the extent to which the cue was attributed with incentive salience), to characterize two behavioral phenotypes in this population: animals that approached the cue ("sign-trackers") vs. others that approached the location of reward delivery ("goal-trackers"). This variation in Pavlovian approach behavior predicted other behavioral indices of the propensity to attribute incentive salience to reward cues. Thus, the procedures reported here should be useful for making comparisons across studies and for assessing individual variation in incentive salience attribution in small samples of the population, or even for classifying single animals.

Alcohol-attributable cancer deaths under 80 years of age in New Zealand.

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Connor, Jennie; Kydd, Robyn; Maclennan, Brett; Shield, Kevin; Rehm, Jürgen

2017-05-01

Cancer deaths made up 30% of all alcohol-attributable deaths in New Zealanders aged 15-79 years in 2007, more than all other chronic diseases combined. We aimed to estimate alcohol-attributable cancer mortality and years of life lost by cancer site and identify differences between Māori and non-Māori New Zealanders. We applied the World Health Organization's comparative risk assessment methodology at the level of Māori and non-Māori subpopulations. Proportions of specific alcohol-related cancers attributable to alcohol were calculated by combining alcohol consumption estimates from representative surveys with relative risks from recent meta-analyses. These proportions were applied to both 2007 and 2012 mortality data. Alcohol consumption was responsible for 4.2% of all cancer deaths under 80 years of age in 2007. An average of 10.4 years of life was lost per person; 12.7 years for Māori and 10.1 years for non-Māori. Half of the deaths were attributable to average consumption of strategies to reduce ethnic disparities in risk and outcome are needed in New Zealand. [Connor J, Kydd R, Maclennan B, Shield K, Rehm J. Alcohol-attributable cancer deaths under 80 years of age in New Zealand. Drug Alcohol Rev 2017;36:415-423]. © 2016 Australasian Professional Society on Alcohol and other Drugs.

Soil fauna: key to new carbon models

OpenAIRE

Filser, Juliane; Faber, Jack H.; Tiunov, Alexei V.; Brussaard, Lijbert; Frouz, Jan; Deyn, Gerlinde; Uvarov, Alexei V.; Berg, Matty P.; Lavelle, Patrick; Loreau, Michel; Wall, Diana H.; Querner, Pascal; Eijsackers, Herman; Jiménez, Juan José

2016-01-01

Soil organic matter (SOM) is key to maintaining soil fertility, mitigating climate change, combatting land degradation, and conserving above- and below-ground biodiversity and associated soil processes and ecosystem services. In order to derive management options for maintaining these essential services provided by soils, policy makers depend on robust, predictive models identifying key drivers of SOM dynamics. Existing SOM models and suggested guidelines for future SOM modelling are defined ...

Shorter Decentralized Attribute-Based Encryption via Extended Dual System Groups

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Jie Zhang

2017-01-01

Full Text Available Decentralized attribute-based encryption (ABE is a special form of multiauthority ABE systems, in which no central authority and global coordination are required other than creating the common reference parameters. In this paper, we propose a new decentralized ABE in prime-order groups by using extended dual system groups. We formulate some assumptions used to prove the security of our scheme. Our proposed scheme is fully secure under the standard k-Lin assumption in random oracle model and can support any monotone access structures. Compared with existing fully secure decentralized ABE systems, our construction has shorter ciphertexts and secret keys. Moreover, fast decryption is achieved in our system, in which ciphertexts can be decrypted with a constant number of pairings.

LIVEABILITY DIMENSIONS AND ATTRIBUTES: THEIR RELATIVE IMPORTANCE IN THE EYES OF NEIGHBOURHOOD RESIDENTS

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Ahmad Hariza Hashim

2010-06-01

Full Text Available It is important for a neighbourhood to provide a quality and good environment to ensure that inhabitants are able to live their lives in a satisfying way. There have been few attempts to investigate people’s perceptions about the places they currently live, especially what makes their neighbourhoods a good or bad place to live. Thus, this study aims (1 to identify the attributes and the dimensions that residents consider in evaluating the liveability of their neighbourhood and (2 to assess the importance of these attributes and dimensions. A literature review found that four dimensions are used in most studies to understand the liveability issues: social, physical, functional and safe. Sixteen attributes are also identified to be indicators for the four dimensions. The study was conducted in one of the neighbourhoods in the Subang Jaya Municipal Council vicinity, and data were collected using mailed questionnaires. A total of 170 questionnaires were completed and returned, which represented a 57% response rate. Results revealed that residents are most concerned about safety, while social issues are deemed to be the least important factor. Thus, efforts to promote neighbourhood liveability should be focused on ensuring the overall safety of the community by incorporating a design that creates territoriality and allows more surveillance. Neighbourhoods should be maintained to avoid incivilities to reduce the fear of crime and crime itself.

Attribution of the Regional Patterns of North American Climate Trends

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Hoerling, M.; Kumar, A.; Karoly, D.; Rind, D.; Hegerl, G.; Eischeid, J.

2007-12-01

North American trends in surface temperature and precipitation during 1951-2006 exhibit large spatial and seasonal variations. We seek to explain these by synthesizing new information based on existing model simulations of climate and its forcing, and based on modern reanalyses that describe past and current conditions within the free atmosphere. The presentation focuses on current capabilities to explain the spatial variations and seasonal differences in North American climate trends. It will address whether various heterogeneities in space and time can be accounted for by the climate system's sensitivity to time evolving anthropogenic forcing, and examines the influences of non-anthropogenic processes. New findings are presented that indicate anthropogenic forcing alone was unlikely the cause for key regional and seasonal patterns of change, including the absence of summertime warming over the Great Plains of the United States, and the absence of warming during both winter and summer over the southern United States. Key regional features are instead attributed to trends in the principal patterns of atmospheric flow that affect North American climate. It is demonstrated that observed variations in global sea surface temperatures have significantly influenced these patterns of atmospheric flow.

A conjoint analysis to consumer choice in Brazil: Defining device attributes for recognizing customized foods characteristics.

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Calegari, L P; Barbosa, J; Marodin, G A; Fettermann, D C

2018-07-01

the availability of information about food products may be an essential factor in the consumer's value perception in their purchasing decision. As the food product becomes personalized, the customization of this information becomes complex due to the possible combinations of product components. The use of smart technology in devices is one way to provide customers with customized food information. In the following research five attributes were identified in the composition of these devices: (A) portability; (B) precision; (C) diet customization; (D) food quality analysis; and (E) price. This study aims to identify the appropriate combination of possible functionalities or attributes that must be present in a device in order to detect the food composition of customized foods and their relation to market characteristics. One experiment used fractional factorial project to present the attributes in the form of scenarios following the Choice-Based Conjoint Analysis (CBCA) method. The data collection was done using survey methodology, through online questionnaire, with some 303 Brazilian respondents. So, the Logistic Regression was applied to data analysis. The moderating variables-gender, age, gluten restriction, lactose restriction and other restrictions-were also added to verify potential interactions with the primary attributes. From the results obtained, it was possible to observe higher significance for the primary attributes of diet personalization and quality food analyzes function. Our study contributes to the literature by enhancing the understanding about what the attributes should be in a technological device that has the purpose of recognizing food characteristics and is capable of generating information about customized food products. Furthermore, this device can enabler the production of mass customized food with the nutritional labels for each possible combination. Copyright © 2018 Elsevier Ltd. All rights reserved.

Discriminative power of visual attributes in dermatology.

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Giotis, Ioannis; Visser, Margaretha; Jonkman, Marcel; Petkov, Nicolai

2013-02-01

Visual characteristics such as color and shape of skin lesions play an important role in the diagnostic process. In this contribution, we quantify the discriminative power of such attributes using an information theoretical approach. We estimate the probability of occurrence of each attribute as a function of the skin diseases. We use the distribution of this probability across the studied diseases and its entropy to define the discriminative power of the attribute. The discriminative power has a maximum value for attributes that occur (or do not occur) for only one disease and a minimum value for those which are equally likely to be observed among all diseases. Verrucous surface, red and brown colors, and the presence of more than 10 lesions are among the most informative attributes. A ranking of attributes is also carried out and used together with a naive Bayesian classifier, yielding results that confirm the soundness of the proposed method. proposed measure is proven to be a reliable way of assessing the discriminative power of dermatological attributes, and it also helps generate a condensed dermatological lexicon. Therefore, it can be of added value to the manual or computer-aided diagnostic process. © 2012 John Wiley & Sons A/S.

Decision-making in irrigation networks: Selecting appropriate canal structures using multi-attribute decision analysis.

Science.gov (United States)

Hosseinzade, Zeinab; Pagsuyoin, Sheree A; Ponnambalam, Kumaraswamy; Monem, Mohammad J

2017-12-01

The stiff competition for water between agriculture and non-agricultural production sectors makes it necessary to have effective management of irrigation networks in farms. However, the process of selecting flow control structures in irrigation networks is highly complex and involves different levels of decision makers. In this paper, we apply multi-attribute decision making (MADM) methodology to develop a decision analysis (DA) framework for evaluating, ranking and selecting check and intake structures for irrigation canals. The DA framework consists of identifying relevant attributes for canal structures, developing a robust scoring system for alternatives, identifying a procedure for data quality control, and identifying a MADM model for the decision analysis. An application is illustrated through an analysis for automation purposes of the Qazvin irrigation network, one of the oldest and most complex irrigation networks in Iran. A survey questionnaire designed based on the decision framework was distributed to experts, managers, and operators of the Qazvin network and to experts from the Ministry of Power in Iran. Five check structures and four intake structures were evaluated. A decision matrix was generated from the average scores collected from the survey, and was subsequently solved using TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method. To identify the most critical structure attributes for the selection process, optimal attribute weights were calculated using Entropy method. For check structures, results show that the duckbill weir is the preferred structure while the pivot weir is the least preferred. Use of the duckbill weir can potentially address the problem with existing Amil gates where manual intervention is required to regulate water levels during periods of flow extremes. For intake structures, the Neyrpic® gate and constant head orifice are the most and least preferred alternatives, respectively. Some advantages

Is the attribution of cultural differences to minorities an expression of racial prejudice?

Science.gov (United States)

Vala, Jorge; Pereira, Cícero; Costa-Lopes, Rui

2009-02-01

The social psychological literature considers two main perspectives on the study of perceived cultural differences between majorities and minorities: one proposes that perception of cultural differences is an antecedent of prejudice and another states that the attribution of cultural differences to minorities is already a hidden expression of racial prejudice. This paper offers further support to this latter perspective. One hundred and ninety-four participants answered a questionnaire measuring (1) general racist belief; (2) cultural differences attributed to Black people (hetero-ethnicization); (3) the asymmetric attribution of secondary and primary emotions to the in-group and to Black people (infra-humanization); (4) the asymmetric attribution of natural and cultural traits to in-group members and to Black people (ontologization); and (5) negative evaluation of this social category. The general racist belief scale was not anchored in a specific group and measured the belief in the inferiority of certain social groups or peoples based on biological or cultural factors. Relationships between the scales were analysed through a set of Structural Equation Models. According to the predictions, results showed that the attribution of cultural differences is a dimension of prejudice. Results also showed that attribution of cultural differences, negative evaluation of Black people, ontologization, and infra-humanization were different dimensions of a common latent factor that can be identified as racial prejudice; and that prejudice was predicted by general racist belief. Results are discussed in the light of the study of the impact of perceived cultural differences on intergroup relations and in the light of the "new racism" approaches.

Utilising identifier error variation in linkage of large administrative data sources

Directory of Open Access Journals (Sweden)

Katie Harron

2017-02-01

Full Text Available Abstract Background Linkage of administrative data sources often relies on probabilistic methods using a set of common identifiers (e.g. sex, date of birth, postcode. Variation in data quality on an individual or organisational level (e.g. by hospital can result in clustering of identifier errors, violating the assumption of independence between identifiers required for traditional probabilistic match weight estimation. This potentially introduces selection bias to the resulting linked dataset. We aimed to measure variation in identifier error rates in a large English administrative data source (Hospital Episode Statistics; HES and to incorporate this information into match weight calculation. Methods We used 30,000 randomly selected HES hospital admissions records of patients aged 0–1, 5–6 and 18–19 years, for 2011/2012, linked via NHS number with data from the Personal Demographic Service (PDS; our gold-standard. We calculated identifier error rates for sex, date of birth and postcode and used multi-level logistic regression to investigate associations with individual-level attributes (age, ethnicity, and gender and organisational variation. We then derived: i weights incorporating dependence between identifiers; ii attribute-specific weights (varying by age, ethnicity and gender; and iii organisation-specific weights (by hospital. Results were compared with traditional match weights using a simulation study. Results Identifier errors (where values disagreed in linked HES-PDS records or missing values were found in 0.11% of records for sex and date of birth and in 53% of records for postcode. Identifier error rates differed significantly by age, ethnicity and sex (p < 0.0005. Errors were less frequent in males, in 5–6 year olds and 18–19 year olds compared with infants, and were lowest for the Asian ethic group. A simulation study demonstrated that substantial bias was introduced into estimated readmission rates in the presence

Regional scale prioritisation for key ecosystem services, renewable energy production and urban development.

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Stefano Casalegno

Full Text Available Although the importance of addressing ecosystem service benefits in regional land use planning and decision-making is evident, substantial practical challenges remain. In particular, methods to identify priority areas for the provision of key ecosystem services and other environmental services (benefits from the environment not directly linked to the function of ecosystems need to be developed. Priority areas are locations which provide disproportionally high benefits from one or more service. Here we map a set of ecosystem and environmental services and delineate priority areas according to different scenarios. Each scenario is produced by a set of weightings allocated to different services and corresponds to different landscape management strategies which decision makers could undertake. Using the county of Cornwall, U.K., as a case study, we processed gridded maps of key ecosystem services and environmental services, including renewable energy production and urban development. We explored their spatial distribution patterns and their spatial covariance and spatial stationarity within the region. Finally we applied a complementarity-based priority ranking algorithm (zonation using different weighting schemes. Our conclusions are that (i there are two main patterns of service distribution in this region, clustered services (including agriculture, carbon stocks, urban development and plant production and dispersed services (including cultural services, energy production and floods mitigation; (ii more than half of the services are spatially correlated and there is high non-stationarity in the spatial covariance between services; and (iii it is important to consider both ecosystem services and other environmental services in identifying priority areas. Different weighting schemes provoke drastic changes in the delineation of priority areas and therefore decision making processes need to carefully consider the relative values attributed to

The Attribute for Hydrocarbon Prediction Based on Attenuation

International Nuclear Information System (INIS)

Hermana, Maman; Harith, Z Z T; Sum, C W; Ghosh, D P

2014-01-01

Hydrocarbon prediction is a crucial issue in the oil and gas industry. Currently, the prediction of pore fluid and lithology are based on amplitude interpretation which has the potential to produce pitfalls in certain conditions of reservoir. Motivated by this fact, this work is directed to find out other attributes that can be used to reduce the pitfalls in the amplitude interpretation. Some seismic attributes were examined and studies showed that the attenuation attribute is a better attribute for hydrocarbon prediction. Theoretically, the attenuation mechanism of wave propagation is associated with the movement of fluid in the pore; hence the existence of hydrocarbon in the pore will be represented by attenuation attribute directly. In this paper we evaluated the feasibility of the quality factor ratio of P-wave and S-wave (Qp/Qs) as hydrocarbon indicator using well data and also we developed a new attribute based on attenuation for hydrocarbon prediction -- Normalized Energy Reduction Stack (NERS). To achieve these goals, this work was divided into 3 main parts; estimating the Qp/Qs on well log data, testing the new attribute in the synthetic data and applying the new attribute on real data in Malay Basin data. The result show that the Qp/Qs is better than Poisson's ratio and Lamda over Mu as hydrocarbon indicator. The curve, trend analysis and contrast of Qp/Qs is more powerful at distinguishing pore fluid than Poisson ratio and Lamda over Mu. The NERS attribute was successful in distinguishing the hydrocarbon from brine on synthetic data. Applying this attribute on real data on Malay basin, the NERS attribute is qualitatively conformable with the structure and location where the gas is predicted. The quantitative interpretation of this attribute for hydrocarbon prediction needs to be investigated further

Noncognitive Attributes in Physician Assistant Education.

Science.gov (United States)

Brenneman, Anthony E; Goldgar, Constance; Hills, Karen J; Snyder, Jennifer H; VanderMeulen, Stephane P; Lane, Steven

2018-03-01

Physician assistant (PA) admissions processes have typically given more weight to cognitive attributes than to noncognitive ones, both because a high level of cognitive ability is needed for a career in medicine and because cognitive factors are easier to measure. However, there is a growing consensus across the health professions that noncognitive attributes such as emotional intelligence, empathy, and professionalism are important for success in clinical practice and optimal care of patients. There is also some evidence that a move toward more holistic admissions practices, including evaluation of noncognitive attributes, can have a positive effect on diversity. The need for these noncognitive attributes in clinicians is being reinforced by changes in the US health care system, including shifting patient demographics and a growing emphasis on team-based care and patient satisfaction, and the need for clinicians to help patients interpret complex medical information. The 2016 Physician Assistant Education Association Stakeholder Summit revealed certain behavioral and affective qualities that employers of PAs value and sometimes find lacking in new graduates. Although there are still gaps in the evidence base, some tools and technologies currently exist to more accurately measure noncognitive variables. We propose some possible strategies and tools that PA programs can use to formalize the way they select for noncognitive attributes. Since PA programs have, on average, only 27 months to educate students, programs may need to focus more resources on selecting for these attributes than teaching them.

State-level Medicaid expenditures attributable to smoking.

Science.gov (United States)

Armour, Brian S; Finkelstein, Eric A; Fiebelkorn, Ian C

2009-07-01

Medicaid recipients are disproportionately affected by tobacco-related disease because their smoking prevalence is approximately 53% greater than that of the overall US adult population. This study estimates state-level smoking-attributable Medicaid expenditures. We used state-level and national data and a 4-part econometric model to estimate the fraction of each state's Medicaid expenditures attributable to smoking. These fractions were multiplied by state-level Medicaid expenditure estimates obtained from the Centers for Medicare and Medicaid Services to estimate smoking-attributable expenditures. The smoking-attributable fraction for all states was 11.0% (95% confidence interval, 0.4%-17.0%). Medicaid smoking-attributable expenditures ranged from $40 million (Wyoming) to $3.3 billion (New York) in 2004 and totaled $22 billion nationwide. Cigarette smoking accounts for a sizeable share of annual state Medicaid expenditures. To reduce smoking prevalence among recipients and the growth rate in smoking-attributable Medicaid expenditures, state health departments and state health plans such as Medicaid are encouraged to provide free or low-cost access to smoking cessation counseling and medication.

Attribution bias and social anxiety in schizophrenia

Directory of Open Access Journals (Sweden)

Amelie M. Achim

2016-06-01

Full Text Available Studies on attribution biases in schizophrenia have produced mixed results, whereas such biases have been more consistently reported in people with anxiety disorders. Anxiety comorbidities are frequent in schizophrenia, in particular social anxiety disorder, which could influence their patterns of attribution biases. The objective of the present study was thus to determine if individuals with schizophrenia and a comorbid social anxiety disorder (SZ+ show distinct attribution biases as compared with individuals with schizophrenia without social anxiety (SZ− and healthy controls. Attribution biases were assessed with the Internal, Personal, and Situational Attributions Questionnaire in 41 individual with schizophrenia and 41 healthy controls. Results revealed the lack of the normal externalizing bias in SZ+, whereas SZ− did not significantly differ from healthy controls on this dimension. The personalizing bias was not influenced by social anxiety but was in contrast linked with delusions, with a greater personalizing bias in individuals with current delusions. Future studies on attribution biases in schizophrenia should carefully document symptom presentation, including social anxiety.

Fuzzy Linguistic Optimization on Multi-Attribute Machining

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Tian-Syung Lan

2010-06-01

Full Text Available Most existing multi-attribute optimization researches for the modern CNC (computer numerical control turning industry were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme proposed is deemed to be necessary for the industry. In this paper, four parameters (cutting depth, feed rate, speed, tool nose runoff with three levels (low, medium, high are considered to optimize the multi-attribute (surface roughness, tool wear, and material removal rate finish turning. Through FAHP (Fuzzy Analytic Hierarchy Process with eighty intervals for each attribute, the weight of each attribute is evaluated from the paired comparison matrix constructed by the expert judgment. Additionally, twenty-seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for each attribute are constructed. Considering thirty input and eighty output intervals, the defuzzifierion using center of gravity is thus completed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution is moreover utilized to integrate and evaluate the multiple machining attributes for the Taguchi experiment, and thus the optimum general deduction parameters can then be received. The confirmation experiment for optimum general deduction parameters is furthermore performed on an ECOCA-3807 CNC lathe. It is shown that the attributes from the fuzzy linguistic optimization parameters are all significantly advanced comparing to those from benchmark. This paper not only proposes a general deduction optimization scheme using orthogonal array, but also contributes the satisfactory fuzzy linguistic approach for multiple CNC turning attributes with profound insight.

Attributing Authorship in the Noisy Digitized Correspondence of Jacob and Wilhelm Grimm

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Greta Franzini

2018-04-01

Full Text Available This article presents the results of a multidisciplinary project aimed at better understanding the impact of different digitization strategies in computational text analysis. More specifically, it describes an effort to automatically discern the authorship of Jacob and Wilhelm Grimm in a body of uncorrected correspondence processed by HTR (Handwritten Text Recognition and OCR (Optical Character Recognition, reporting on the effect this noise has on the analyses necessary to computationally identify the different writing style of the two brothers. In summary, our findings show that OCR digitization serves as a reliable proxy for the more painstaking process of manual digitization, at least when it comes to authorship attribution. Our results suggest that attribution is viable even when using training and test sets from different digitization pipelines. With regards to HTR, this research demonstrates that even though automated transcription significantly increases the risk of text misclassification when compared to OCR, a cleanliness above ≈ 20% is already sufficient to achieve a higher-than-chance probability of correct binary attribution.

A Five-Year Hedonic Price Breakdown for Desktop Personal Computer Attributes in Brazil

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Nuno Manoel Martins Dias Fouto

2009-07-01

Full Text Available The purpose of this article is to identify the attributes that discriminate the prices of personal desktop computers. We employ the hedonic price method in evaluating such characteristics. This approach allows market prices to be expressed as a function, a set of attributes present in the products and services offered. Prices and characteristics of up to 3,779 desktop personal computers offered in the IT pages of one of the main Brazilian newspapers were collected from January 2003 to December 2007. Several specifications for the hedonic (multivariate linear regression were tested. In this particular study, the main attributes were found to be hard drive capacity, screen technology, main board brand, random memory size, microprocessor brand, video board memory, digital video and compact disk recording devices, screen size and microprocessor speed. These results highlight the novel contribution of this study: the manner and means in which hedonic price indexes may be estimated in Brazil.

A Chance for Attributable Agency.

Science.gov (United States)

Briegel, Hans J; Müller, Thomas

Can we sensibly attribute some of the happenings in our world to the agency of some of the things around us? We do this all the time, but there are conceptual challenges purporting to show that attributable agency, and specifically one of its most important subspecies, human free agency, is incoherent. We address these challenges in a novel way: rather than merely rebutting specific arguments, we discuss a concrete model that we claim positively illustrates attributable agency in an indeterministic setting. The model, recently introduced by one of the authors in the context of artificial intelligence, shows that an agent with a sufficiently complex memory organization can employ indeterministic happenings in a meaningful way. We claim that these considerations successfully counter arguments against the coherence of libertarian (indeterminism-based) free will.

Kinetics, biocompounds, antioxidant activity, and sensory attributes of quinces as affected by drying method.

Science.gov (United States)

Szychowski, Przemysław J; Lech, Krzysztof; Sendra-Nadal, Esther; Hernández, Francisca; Figiel, Adam; Wojdyło, Aneta; Carbonell-Barrachina, Ángel A

2018-07-30

Quinces are attracting interest due to their health and nutritional benefits. Drying kinetics, bioactive compounds, antioxidant activity, and the main sensory parameters were determined in dried quinces, cultivar Leskovač, as affected by the drying method. The highest total polyphenols content was observed in dried samples obtained after freeze drying and convective drying at 50 °C. The best drying treatment, considering only sensory attributes, was vacuum-microwave drying at 480 W, because it led to intermediate dark color and high intensities of basic tastes and key flavor attributes. The studied parameters were finally used to recommend convective drying at 60 °C as the most appropriate drying method for quinces, because it had a high content of total phenolic compounds (2nd best treatment out of 10), a good sensory profile, was cheap, and caused no negative effects on nutritional or sensory parameters; the only disadvantage was its long drying time. Copyright © 2018 Elsevier Ltd. All rights reserved.

Identifying Key Features of Student Performance in Educational Video Games and Simulations through Cluster Analysis

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Kerr, Deirdre; Chung, Gregory K. W. K.

2012-01-01

The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…

An Integrated Strategy to Identify Key Genes in Almond Adventitious Shoot Regeneration

Science.gov (United States)

Plant genetic transformation usually depends on efficient adventitious regeneration systems. In almond (Prunus dulcis Mill.), regeneration of transgenic adventitious shoots was achieved but with low efficiency. Histological studies identified two main stages of organogenesis in almond explants that ...

Improving the key biodiversity areas approach for effective conservation planning

CSIR Research Space (South Africa)

Knight, AT

2007-03-01

Full Text Available The key biodiversity areas (KBA) approach aims to identify globally important areas for species conservation. Although a similar methodology has been used successfully to identify important Bird Areas, the authors have identified five limitations...

Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome

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Gaora Peadar Ó

2010-10-01

Full Text Available Abstract Background Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurate primary analysis of the data, fewer options exist to contextualise those lists. The development and validation of such methods is crucial to the wider application of microarray technology in the clinical setting. Two key challenges in clinical bioinformatics involve appropriate statistical modelling of dynamic transcriptomic changes, and extraction of clinically relevant meaning from very large datasets. Results Here, we apply an approach to gene set enrichment analysis that allows for detection of bi-directional enrichment within a gene set. Furthermore, we apply canonical correlation analysis and Fisher's exact test, using plasma marker data with known clinical relevance to aid identification of the most important gene and pathway changes in our transcriptomic dataset. After a 28-day dietary intervention with high-CLA beef, a range of plasma markers indicated a marked improvement in the metabolic health of genetically obese mice. Tissue transcriptomic profiles indicated that the effects were most dramatic in liver (1270 genes significantly changed; p Conclusion Bi-directional gene set enrichment analysis more accurately reflects dynamic regulatory behaviour in biochemical pathways, and as such highlighted biologically relevant changes that were not detected using a traditional approach. In such cases where transcriptomic response to treatment is exceptionally large, canonical correlation analysis in conjunction with Fisher's exact test highlights the subset of pathways showing strongest correlation with the clinical markers of interest. In this case, we have identified selenoamino acid metabolism and steroid biosynthesis as key pathways mediating the observed relationship between metabolic health and high-CLA beef. These results indicate that this type of

Attribution of irreversible loss to anthropogenic climate change

Science.gov (United States)

Huggel, Christian; Bresch, David; Hansen, Gerrit; James, Rachel; Mechler, Reinhard; Stone, Dáithí; Wallimann-Helmer, Ivo

2016-04-01

The Paris Agreement (2015) under the UNFCCC has anchored loss and damage in a separate article which specifies that understanding and support should be enhanced in areas addressing loss and damage such as early warning, preparedness, insurance and resilience. Irreversible loss is a special category under loss and damage but there is still missing clarity over what irreversible loss actually includes. Many negative impacts of climate change may be handled or mitigated by existing risk management, reduction and absorption approaches. Irreversible loss, however, is thought to be insufficiently addressed by risk management. Therefore, countries potentially or actually affected by irreversible loss are calling for other measures such as compensation, which however is highly contested in international climate policy. In Paris (2015) a decision was adopted that loss and damage as defined in the respective article of the agreement does not involve compensation and liability. Nevertheless, it is likely that some sort of mechanism will eventually need to come into play for irreversible loss due to anthropogenic climate change, which might involve compensation, other forms of non-monetary reparation, or transformation. Furthermore, climate litigation has increasingly been attempted to address negative effects of climate change. In this context, attribution is important to understand the drivers of change, what counts as irreversible loss due to climate change, and, possibly, who or what is responsible. Here we approach this issue by applying a detection and attribution perspective on irreversible loss. We first analyze detected climate change impacts as assessed in the IPCC Fifth Assessment Report. We distinguish between irreversible loss in physical, biological and human systems, and accordingly identify the following candidates of irreversible loss in these systems: loss of glaciers and ice sheets, loss of subsurface ice (permafrost) and related loss of lake systems; loss

Anonymous Credential Schemes with Encrypted Attributes

NARCIS (Netherlands)

Guajardo Merchan, J.; Mennink, B.; Schoenmakers, B.

2011-01-01

In anonymous credential schemes, users obtain credentials on certain attributes from an issuer, and later show these credentials to a relying party anonymously and without fully disclosing the attributes. In this paper, we introduce the notion of (anonymous) credential schemes with encrypted

Water dynamics clue to key residues in protein folding

International Nuclear Information System (INIS)

Gao, Meng; Zhu, Huaiqiu; Yao, Xin-Qiu; She, Zhen-Su

2010-01-01

A computational method independent of experimental protein structure information is proposed to recognize key residues in protein folding, from the study of hydration water dynamics. Based on all-atom molecular dynamics simulation, two key residues are recognized with distinct water dynamical behavior in a folding process of the Trp-cage protein. The identified key residues are shown to play an essential role in both 3D structure and hydrophobic-induced collapse. With observations on hydration water dynamics around key residues, a dynamical pathway of folding can be interpreted.

Cookstove options for safety and health: Comparative analysis of technological and usability attributes

International Nuclear Information System (INIS)

Kimemia, David; Van Niekerk, Ashley

2017-01-01

Energy use in low-income households in South Africa is considerably more hazardous than in middle to high-income households. Poverty is a key underlying factor. However, poor quality domestic energy technologies, including stoves, heaters and light sources contribute to this vulnerability. The problem is compounded by behavioural and environmental factors. Since cooking is a key energy-using chore, access to efficient, safe and versatile stoves portend safety improvements. This paper reports on a comparative analysis of eleven technological and usability attributes (CO emissions, firepower, efficiency, fuel toxicity, fuel cost, stove price, controllability, durability, availability, temperature of touchable-parts, and mechanical stability) of commercially available stoves that utilise four energy sources (kerosene, methanol, ethanol gel, and LPG). The ensuing discussion serves as a guide to enable the selection of the best-fit stove-fuel combination for low-income households. The findings indicate that LPG stoves have comparatively better overall rankings for cleanliness, firepower, safety, and durability. This analysis highlights that no combustion technology is risk-proof and there remains a burden on users to exercise diligence. We recommend that South Africa adopts an affirmative policy and strategic actions that discourage the use of kerosene as a household combustion fuel, and promotes the adoption of LPG as a safer and practical alternative. - Highlights: • Inefficient fuel combustion stoves raise risk profile in energy-poor households. • This study uses quantitative methods to compare the attributes of four stove types. • LPG stoves have comparatively better ranking for emissions, safety, and durability. • Transformative policies and strategies are required to promote safe, clean stoves.

Development and Validation of the Masculine Attributes Questionnaire.

Science.gov (United States)

Cho, Junhan; Kogan, Steven M

2017-07-01

The present study describes the development and validation of the Masculine Attributes Questionnaire (MAQ). The purpose of this study was to develop a theoretically and empirically grounded measure of masculine attributes for sexual health research with African American young men. Consistent with Whitehead's theory, the MAQ items were hypothesized to comprise two components representing reputation-based and respect-based attributes. The sample included 505 African American men aged 19 to 22 years ( M = 20.29, SD = 1.10) living in resource-poor communities in the rural South. Convergent and discriminant validity of the MAQ were assessed by examining the associations of masculinity attributes with psychosocial factors. Criterion validity was assessed by examining the extent to which the MAQ subscales predicted sexual risk behavior outcomes. Consistent with study hypotheses, the MAQ was composed of (a) reputation-based attributes oriented toward sexual prowess, toughness, and authority-defying behavior and (b) respect-based attributes oriented toward economic independence, socially approved levels of hard work and education, and committed romantic relationships. Reputation-based attributes were associated positively with street code and negatively related to academic orientation, vocational engagement, and self-regulation, whereas respect-based attributes were associated positively with academic and vocational orientations and self-regulation. Finally, reputation-based attributes predicted sexual risk behaviors including concurrent sexual partnerships, multiple sexual partners, marijuana use, and incarceration, net of the influence of respect-based attributes. The development of the MAQ provides a new measure that permits systematic quantitative investigation of the associations between African American men's masculinity ideology and sexual risk behavior.

Investigation of Chinese University Students’ Attributions of English Language Learning

Directory of Open Access Journals (Sweden)

Jinjin Lu

2014-12-01

Full Text Available Despite the importance of developing students’ learning autonomy in Chinese schools similar to Western cultured schools, many concerns are raised regarding the influence and effectiveness that learner autonomy has on students’ academic achievements. The aim of this study was to identify the attribution patterns of Chinese university students for success and failure toward students who learnt through autonomy learning (student-centered approaches compared with students who learnt through teacher-centered approaches. Within this study, mixed research methods were adopted, and students used a reflective method to distinguish whether they were taught English through a traditional or student-centered method. The findings of the study reveal that there are no significant differences in attributional patterns between students who had learnt in high school through autonomous learning and those who learnt through teacher-centered approaches. The findings have implications for policy and practice in the Chinese Ministry of Education system and recommendations for future research.

Associating crash avoidance maneuvers with driver attributes and accident characteristics: a mixed logit model approach

DEFF Research Database (Denmark)

Kaplan, Sigal; Prato, Carlo Giacomo

2012-01-01

from the key role of proactive and state-aware road users within the concept of sustainable safety systems, as well as from the key role of effective corrective maneuvers in the success of automated in-vehicle warning and driver assistance systems. Methods: The analysis is conducted by means of a mixed...... about the risks of driving under fatigue and distraction being comparable to the risks of driving under the influence of alcohol and drugs. Moreover, the results suggest the need to educate drivers about hazard perception, designing a forgiving infrastructure within a sustainable safety systems......Objective: The current study focuses on the propensity of drivers to engage in crash avoidance maneuvers in relation to driver attributes, critical events, crash characteristics, vehicles involved, road characteristics, and environmental conditions. The importance of avoidance maneuvers derives...

The Human Capital of Knowledge Brokers: An analysis of attributes, capacities and skills of academic teaching and research faculty at Kenyan schools of public health.

Science.gov (United States)

Jessani, Nasreen; Kennedy, Caitlin; Bennett, Sara

2016-08-02

Academic faculty involved in public health teaching and research serve as the link and catalyst for knowledge synthesis and exchange, enabling the flow of information resources, and nurturing relations between 'two distinct communities' - researchers and policymakers - who would not otherwise have the opportunity to interact. Their role and their characteristics are of particular interest, therefore, in the health research, policy and practice arena, particularly in low- and middle-income countries. We investigated the individual attributes, capacities and skills of academic faculty identified as knowledge brokers (KBs) in schools of public health (SPH) in Kenya with a view to informing organisational policies around the recruitment, retention and development of faculty KBs. During April 2013, we interviewed 12 academics and faculty leadership (including those who had previously been identified as KBs) from six SPHs in Kenya, and 11 national health policymakers with whom they interact. Data were qualitatively analyzed using inductive thematic analysis to unveil key characteristics. Key characteristics of KBs fell into five categories: sociodemographics, professional competence, experiential knowledge, interactive skills and personal disposition. KBs' reputations benefitted from their professional qualifications and content expertise. Practical knowledge in policy-relevant situations, and the related professional networks, allowed KB's to navigate both the academic and policy arenas and also to leverage the necessary connections required for policy influence. Attributes, such as respect and a social conscience, were also important KB characteristics. Several changes in Kenya are likely to compel academics to engage increasingly with policymakers at an enhanced level of debate, deliberation and discussion in the future. By recognising existing KBs, supporting the emergence of potential KBs, and systematically hiring faculty with KB-specific characteristics, SPHs can

Zirconium-barrier cladding attributes

International Nuclear Information System (INIS)

Rosenbaum, H.S.; Rand, R.A.; Tucker, R.P.; Cheng, B.; Adamson, R.B.; Davies, J.H.; Armijo, J.S.; Wisner, S.B.

1987-01-01

This metallurgical study of Zr-barrier fuel cladding evaluates the importance of three salient attributes: (1) metallurgical bond between the zirconium liner and the Zircaloy substrate, (2) liner thickness (roughly 10% of the total cladding wall), and (3) softness (purity). The effect that each of these attributes has on the pellet-cladding interaction (PCI) resistance of the Zr-barrier fuel was studied by a combination of analytical model calculations and laboratory experiments using an expanding mandrel technique. Each of the attributes is shown to contribute to PCI resistance. The effect of the zirconium liner on fuel behavior during off-normal events in which steam comes in contact with the zirconium surface was studied experimentally. Simulations of loss-of-coolant accident (LOCA) showed that the behavior of Zr-barrier cladding is virtually indistinguishable from that of conventional Zircaloy cladding. If steam contacts the zirconium liner surface through a cladding perforation and the fuel rod is operated under normal power conditions, the zirconium liner is oxidized more rapidly than is Zircaloy, but the oxidation rate returns to the rate of Zircaloy oxidation when the oxide phase reaches the zirconium-Zircaloy metallurgical bond

Effect of Therapist Color-Blindness on Empathy and Attributions in Cross-Cultural Counseling

Science.gov (United States)

Burkard, Alan W.; Knox, Sarah

2004-01-01

Empathy and attributions of client responsibility for the cause of and solution to a problem were examined for 247 psychologists who were identified as having low, moderate, and high color-blind racial attitudes. Participants responded to 1 of 4 vignettes that controlled for client race (i.e., African American, European American) and client…

Hospitalization stay and costs attributable to Clostridium difficile infection: a critical review.

Science.gov (United States)

Gabriel, L; Beriot-Mathiot, A

2014-09-01

In most healthcare systems, third-party payers fund the costs for patients admitted to hospital for Clostridium difficile infection (CDI) whereas, for CDI cases arising as complications of hospitalization, not all related costs are refundable to the hospital. We therefore aimed to critically review and categorize hospital costs and length of hospital stay (LOS) attributable to Clostridium difficile infection and to investigate the economic burden associated with it. A comprehensive literature review selected papers describing the costs and LOS for hospitalized patients as outcomes of CDI, following the use of statistics to identify costs and LOS solely attributable to CDI. Twenty-four studies were selected. Estimated attributable costs, all ranges expressed in US dollars, were $6,774-$10,212 for CDI requiring admission, $2,992-$29,000 for hospital-acquired CDI, and $2,454-$12,850 where no categorization was made. The ranges for LOS values were 5-13.6, 2.7-21.3, and 2.8-17.9 days, respectively. The categorization of CDI attributable costs allows budget holders to anticipate the cost per CDI case, a perspective that should enrich the design of appropriate incentives for the various budget holders to invest in prevention so that CDI prevention is optimized globally. Copyright © 2014 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

Terrestrial Steering Group. 2014. Arctic Terrestrial Biodiversity Monitoring Plan

DEFF Research Database (Denmark)

Aastrup, Peter; Aronsson, Mora; Barry, Tom

capacity and information may be currently available and (b) to outline near-term required steps to begin implementing the plan and reporting on an initial set of Arctic terrestrial biodiversity focal ecosystem component attributes. The specific objectives of the workshop were to: Identify key products...... for TSG for the next two years. Identify key components of a pan-Arctic status report for priority focal ecosystem components (FEC) attributes for policy and decision makers. Develop a prioritized set of activities to meet reporting objectives. Identify key milestones and timelines for the successful...... implementation of the Arctic Terrestrial Biodiversity Monitoring Plan for the next two years. Identify expert networks required for successful implementation of the plan. Identify key gaps and opportunities for the TSG related to plan implementation and identify near-term next steps to address gaps....

Evaluation of an attributive measurement system in the automotive industry

Science.gov (United States)

Simion, C.

2016-08-01

Measurement System Analysis (MSA) is a critical component for any quality improvement process. MSA is defined as an experimental and mathematical method of determining how much the variation within the measurement process contributes to overall process variability and it falls into two categories: attribute and variable. Most problematic measurement system issues come from measuring attribute data, which are usually the result of human judgment (visual inspection). Because attributive measurement systems are often used in some manufacturing processes, their assessment is important to obtain the confidence in the inspection process, to see where are the problems in order to eliminate them and to guide the process improvement. It was the aim of this paper to address such a issue presenting a case study made in a local company from the Sibiu region supplying products for the automotive industry, specifically the bag (a technical textile component, i.e. the fabric) for the airbag module. Because defects are inherent in every manufacturing process and in the field of airbag systems a minor defect can influence their performance and lives depend on the safety feature, there is a stringent visual inspection required on the defects of the bag material. The purpose of this attribute MSA was: to determine if all inspectors use the same criteria to determine “pass” from “fail” product (i.e. the fabric); to assess company inspection standards against customer's requirements; to determine how well inspectors are conforming to themselves; to identify how inspectors are conforming to a “known master,” which includes: how often operators ship defective product, how often operators dispose of acceptable product; to discover areas where training is required, procedures must be developed and standards are not available. The results were analyzed using MINITAB software with its module called Attribute Agreement Analysis. The conclusion was that the inspection process must

Patient-identified events implicated in the development of body dysmorphic disorder.

Science.gov (United States)

Weingarden, Hilary; Curley, Erin E; Renshaw, Keith D; Wilhelm, Sabine

2017-06-01

Little is known about the causes of body dysmorphic disorder (BDD), but researchers have proposed a diathesis-stress model. This study uses a patient-centered approach to identify stressful events to which patients attribute the development of their BDD symptoms. An Internet-recruited sample of 165 adults with BDD participated. A large minority of participants attributed the development of their BDD to a triggering event. Bullying experiences were the most commonly described type of event. Additionally, most events were interpersonal and occurred during grade school or middle school. There were no differences in severity of psychosocial outcomes between participants who did or did not attribute their BDD to a specific triggering event. However, participants who specifically attributed their BDD development to a bullying experience had poorer psychosocial outcomes (i.e., perceived social support, depression severity, functional impairment, quality of life) compared to those who attributed their BDD development to another type of triggering event. Copyright © 2017 Elsevier Ltd. All rights reserved.

Quantifying individual variation in the propensity to attribute incentive salience to reward cues.

Directory of Open Access Journals (Sweden)

Paul J Meyer

Full Text Available If reward-associated cues acquire the properties of incentive stimuli they can come to powerfully control behavior, and potentially promote maladaptive behavior. Pavlovian incentive stimuli are defined as stimuli that have three fundamental properties: they are attractive, they are themselves desired, and they can spur instrumental actions. We have found, however, that there is considerable individual variation in the extent to which animals attribute Pavlovian incentive motivational properties ("incentive salience" to reward cues. The purpose of this paper was to develop criteria for identifying and classifying individuals based on their propensity to attribute incentive salience to reward cues. To do this, we conducted a meta-analysis of a large sample of rats (N = 1,878 subjected to a classic Pavlovian conditioning procedure. We then used the propensity of animals to approach a cue predictive of reward (one index of the extent to which the cue was attributed with incentive salience, to characterize two behavioral phenotypes in this population: animals that approached the cue ("sign-trackers" vs. others that approached the location of reward delivery ("goal-trackers". This variation in Pavlovian approach behavior predicted other behavioral indices of the propensity to attribute incentive salience to reward cues. Thus, the procedures reported here should be useful for making comparisons across studies and for assessing individual variation in incentive salience attribution in small samples of the population, or even for classifying single animals.

Development of the Attributed Dignity Scale.

Science.gov (United States)

Jacelon, Cynthia S; Dixon, Jane; Knafl, Kathleen A

2009-07-01

A sequential, multi-method approach to instrument development beginning with concept analysis, followed by (a) item generation from qualitative data, (b) review of items by expert and lay person panels, (c) cognitive appraisal interviews, (d) pilot testing, and (e) evaluating construct validity was used to develop a measure of attributed dignity in older adults. The resulting positively scored, 23-item scale has three dimensions: Self-Value, Behavioral Respect-Self, and Behavioral Respect-Others. Item-total correlations in the pilot study ranged from 0.39 to 0.85. Correlations between the Attributed Dignity Scale (ADS) and both Rosenberg's Self-Esteem Scale (0.17) and Crowne and Marlowe's Social Desirability Scale (0.36) were modest and in the expected direction, indicating attributed dignity is a related but independent concept. Next steps include testing the ADS with a larger sample to complete factor analysis, test-retest stability, and further study of the relationships between attributed dignity and other concepts.

Identifying crucial parameter correlations maintaining bursting activity.

Directory of Open Access Journals (Sweden)

Anca Doloc-Mihu

2014-06-01

Full Text Available Recent experimental and computational studies suggest that linearly correlated sets of parameters (intrinsic and synaptic properties of neurons allow central pattern-generating networks to produce and maintain their rhythmic activity regardless of changing internal and external conditions. To determine the role of correlated conductances in the robust maintenance of functional bursting activity, we used our existing database of half-center oscillator (HCO model instances of the leech heartbeat CPG. From the database, we identified functional activity groups of burster (isolated neuron and half-center oscillator model instances and realistic subgroups of each that showed burst characteristics (principally period and spike frequency similar to the animal. To find linear correlations among the conductance parameters maintaining functional leech bursting activity, we applied Principal Component Analysis (PCA to each of these four groups. PCA identified a set of three maximal conductances (leak current, [Formula: see text]Leak; a persistent K current, [Formula: see text]K2; and of a persistent Na+ current, [Formula: see text]P that correlate linearly for the two groups of burster instances but not for the HCO groups. Visualizations of HCO instances in a reduced space suggested that there might be non-linear relationships between these parameters for these instances. Experimental studies have shown that period is a key attribute influenced by modulatory inputs and temperature variations in heart interneurons. Thus, we explored the sensitivity of period to changes in maximal conductances of [Formula: see text]Leak, [Formula: see text]K2, and [Formula: see text]P, and we found that for our realistic bursters the effect of these parameters on period could not be assessed because when varied individually bursting activity was not maintained.

Parenting Attributions and Attitudes in Cross-Cultural Perspective

Science.gov (United States)

Bornstein, Marc H.; Putnick, Diane L.; Lansford, Jennifer E.

2011-01-01

SYNOPSIS Objective This article used the Parenting Across Cultures Project to evaluate similarities and differences in mean levels and relative agreement between mothers’ and fathers’ attributions and attitudes in parenting in 9 countries. Design Mothers and fathers reported their perceptions of causes of successes and failures in caregiving and their progressive versus authoritarian childrearing attitudes. Gender and cultural similarities and differences in parents’ attributions and attitudes in 9 countries were analyzed: China, Colombia, Italy, Jordan, Kenya, the Philippines, Sweden, Thailand, or the United States. Results Although mothers and fathers did not differ in any attribution, mothers reported more progressive parenting attitudes and modernity of childrearing attitudes than did fathers, and fathers reported more authoritarian attitudes than did mothers. Country differences also emerged in all attributions and attitudes that were examined. Mothers’ and fathers’ attributions and their attitudes were moderately correlated, but parenting attitudes were more highly correlated in parents than were attributions. Conclusions We draw connections among the findings across the 9 countries and outline implications for understanding similarities and differences in mothers’ and fathers’ parenting attributions and attitudes. PMID:21927591

Identifying predictors of attitudes towards local onshore wind development with reference to an English case study

International Nuclear Information System (INIS)

Jones, Christopher R.; Eiser, J. Richard

2009-01-01

The threats posed by climate change are placing governments under increasing pressure to meet electricity demand from low-carbon sources. In many countries, including the UK, legislation is in place to ensure the continued expansion of renewable energy capacity. Onshore wind turbines are expected to play a key role in achieving these aims. However, despite high levels of public support for onshore wind development in principle, specific projects often experience local opposition. Traditionally this difference in general and specific attitudes has been attributed to NIMBYism (not in my back yard), but evidence is increasingly calling this assumption into question. This study used multiple regression analysis to identify what factors might predict attitudes towards mooted wind development in Sheffield, England. We report on the attitudes of two groups; one group (target) living close to four sites earmarked for development and an unaffected comparison group (comparison). We found little evidence of NIMBYism amongst members of the target group; instead, differences between general and specific attitudes appeared attributable to uncertainty regarding the proposals. The results are discussed with respect to literature highlighting the importance of early, continued and responsive community involvement in combating local opposition and facilitating the deployment of onshore wind turbines.

Irreducible descriptive sets of attributes for information systems

KAUST Repository

Moshkov, Mikhail

2010-01-01

The maximal consistent extension Ext(S) of a given information system S consists of all objects corresponding to attribute values from S which are consistent with all true and realizable rules extracted from the original information system S. An irreducible descriptive set for the considered information system S is a minimal (relative to the inclusion) set B of attributes which defines exactly the set Ext(S) by means of true and realizable rules constructed over attributes from the considered set B. We show that there exists only one irreducible descriptive set of attributes. We present a polynomial algorithm for this set construction. We also study relationships between the cardinality of irreducible descriptive set of attributes and the number of attributes in S. The obtained results will be useful for the design of concurrent data models from experimental data. © 2010 Springer-Verlag.

What causes breast cancer? A systematic review of causal attributions among breast cancer survivors and how these compare to expert-endorsed risk factors.

Science.gov (United States)

Dumalaon-Canaria, Jo Anne; Hutchinson, Amanda D; Prichard, Ivanka; Wilson, Carlene

2014-07-01

The aim of this paper was to review published research that analyzed causal attributions for breast cancer among women previously diagnosed with breast cancer. These attributions were compared with risk factors identified by published scientific evidence in order to determine the level of agreement between cancer survivors' attributions and expert opinion. A comprehensive search for articles, published between 1982 and 2012, reporting studies on causal attributions for breast cancer among patients and survivors was undertaken. Of 5,135 potentially relevant articles, 22 studies met the inclusion criteria. Two additional articles were sourced from reference lists of included studies. Results indicated a consistent belief among survivors that their own breast cancer could be attributed to family history, environmental factors, stress, fate, or chance. Lifestyle factors were less frequently identified, despite expert health information highlighting the importance of these factors in controlling and modifying cancer risk. This review demonstrated that misperceptions about the contribution of modifiable lifestyle factors to the risk of breast cancer have remained largely unchanged over the past 30 years. The findings of this review indicate that beliefs about the causes of breast cancer among affected women are not always consistent with the judgement of experts. Breast cancer survivors did not regularly identify causal factors supported by expert consensus such as age, physical inactivity, breast density, alcohol consumption, and reproductive history. Further research examining psychological predictors of attributions and the impact of cancer prevention messages on adjustment and well-being of cancer survivors is warranted.

Assessment of Important Sensory Attributes of Millet Based Snacks and Biscuits.

Science.gov (United States)

McSweeney, Matthew B; Duizer, Lisa M; Seetharaman, Koushik; Dan Ramdath, D

2016-05-01

There is an increasing push by consumers for new food products that can provide health benefits. To develop these products, sometimes it is necessary to look to alternative crops, 1 of which is millet. For millet to be successfully adopted by consumers, it is necessary to identify and develop product types that are acceptable to North Americans. Biscuits and extruded snacks were produced using varying amounts of refined proso millet flour (0%, 25%, 75%, and 100%). Sensory analysis was conducted on 8 products (4 types of biscuits and 4 types of extruded snack) in 2 separate tests (1 for biscuits and 1 for snacks). Preferred Attribute Elicitation (PAE), a relatively new sensory method, was used to determine attributes affecting liking of the products. Results indicated that as the amount of millet in the biscuits and extruded snacks increased, the liking of the flavor, texture and overall liking decreased. Millet contributed to a bitter taste and bitter aftertaste, and resulted in gritty and dry food products. Further work is required to refine the products tested as well as to identify further products that can be added to the diet in order to take advantage of the health benefits that millet provides. © 2016 Institute of Food Technologists®

Improved Conflict Detection for Graph Transformation with Attributes

Directory of Open Access Journals (Sweden)

Géza Kulcsár

2015-04-01

Full Text Available In graph transformation, a conflict describes a situation where two alternative transformations cannot be arbitrarily serialized. When enriching graphs with attributes, existing conflict detection techniques typically report a conflict whenever at least one of two transformations manipulates a shared attribute. In this paper, we propose an improved, less conservative condition for static conflict detection of graph transformation with attributes by explicitly taking the semantics of the attribute operations into account. The proposed technique is based on symbolic graphs, which extend the traditional notion of graphs by logic formulas used for attribute handling. The approach is proven complete, i.e., any potential conflict is guaranteed to be detected.

The Promise of Virtual Teams: Identifying Key Factors in Effectiveness and Failure

Science.gov (United States)

Horwitz, Frank M.; Bravington, Desmond; Silvis, Ulrik

2006-01-01

Purpose: The aim of the investigation is to identify enabling and disenabling factors in the development and operation of virtual teams; to evaluate the importance of factors such as team development, cross-cultural variables, leadership, communication and social cohesion as contributors to virtual team effectiveness. Design/methodology/approach:…

Statistical estimates of absenteeism attributable to seasonal and pandemic influenza from the Canadian Labour Force Survey

OpenAIRE

Zheng Hui; Schanzer Dena L; Gilmore Jason

2011-01-01

Abstract Background As many respiratory viruses are responsible for influenza like symptoms, accurate measures of the disease burden are not available and estimates are generally based on statistical methods. The objective of this study was to estimate absenteeism rates and hours lost due to seasonal influenza and compare these estimates with estimates of absenteeism attributable to the two H1N1 pandemic waves that occurred in 2009. Methods Key absenteeism variables were extracted from Statis...

Remote sensing of key grassland nutrients using hyperspectral techniques in KwaZulu-Natal, South Africa

Science.gov (United States)

Singh, Leeth; Mutanga, Onisimo; Mafongoya, Paramu; Peerbhay, Kabir

2017-07-01

The concentration of forage fiber content is critical in explaining the palatability of forage quality for livestock grazers in tropical grasslands. Traditional methods of determining forage fiber content are usually time consuming, costly, and require specialized laboratory analysis. With the potential of remote sensing technologies, determination of key fiber attributes can be made more accurately. This study aims to determine the effectiveness of known absorption wavelengths for detecting forage fiber biochemicals, neutral detergent fiber, acid detergent fiber, and lignin using hyperspectral data. Hyperspectral reflectance spectral measurements (350 to 2500 nm) of grass were collected and implemented within the random forest (RF) ensemble. Results show successful correlations between the known absorption features and the biochemicals with coefficients of determination (R2) ranging from 0.57 to 0.81 and root mean square errors ranging from 6.97 to 3.03 g/kg. In comparison, using the entire dataset, the study identified additional wavelengths for detecting fiber biochemicals, which contributes to the accurate determination of forage quality in a grassland environment. Overall, the results showed that hyperspectral remote sensing in conjunction with the competent RF ensemble could discriminate each key biochemical evaluated. This study shows the potential to upscale the methodology to a space-borne multispectral platform with similar spectral configurations for an accurate and cost effective mapping analysis of forage quality.

An Exploration of EFL Teachers' Attributions

Science.gov (United States)

Ghonsooly, Behzad; Ghanizadeh, Afsaneh; Ghazanfari, Mohammad; Ghabanchi, Zargham

2015-01-01

The present study investigated English as a foreign language (EFL) teachers' attributions of success and failure. It also set out to investigate whether these attributions vary by teachers' age, teaching experience, gender and educational level. To do so, 200 EFL teachers were selected according to convenience sampling among EFL teachers teaching…

Crisis Workers' Attributions for Domestic Violence.

Science.gov (United States)

Madden, Margaret E.

Attributions affect coping with victimization. Battered women who blame their husbands' moods are less likely to leave than are women who blame their husbands' permanent characteristics for the violence. Abused women often have repeated contacts with crisis intervention workers and the attitudes of those workers may affect the attributions made by…

Deaths Attributable to Diabetes in the United States: Comparison of Data Sources and Estimation Approaches.

Science.gov (United States)

Stokes, Andrew; Preston, Samuel H

2017-01-01

The goal of this research was to identify the fraction of deaths attributable to diabetes in the United States. We estimated population attributable fractions (PAF) for cohorts aged 30-84 who were surveyed in the National Health Interview Survey (NHIS) between 1997 and 2009 (N = 282,322) and in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2010 (N = 21,814). Cohort members were followed prospectively for mortality through 2011. We identified diabetes status using self-reported diagnoses in both NHIS and NHANES and using HbA1c in NHANES. Hazard ratios associated with diabetes were estimated using Cox model adjusted for age, sex, race/ethnicity, educational attainment, and smoking status. We found a high degree of consistency between data sets and definitions of diabetes in the hazard ratios, estimates of diabetes prevalence, and estimates of the proportion of deaths attributable to diabetes. The proportion of deaths attributable to diabetes was estimated to be 11.5% using self-reports in NHIS, 11.7% using self-reports in NHANES, and 11.8% using HbA1c in NHANES. Among the sub-groups that we examined, the PAF was highest among obese persons at 19.4%. The proportion of deaths in which diabetes was assigned as the underlying cause of death (3.3-3.7%) severely understated the contribution of diabetes to mortality in the United States. Diabetes may represent a more prominent factor in American mortality than is commonly appreciated, reinforcing the need for robust population-level interventions aimed at diabetes prevention and care.

Deaths Attributable to Diabetes in the United States: Comparison of Data Sources and Estimation Approaches.

Directory of Open Access Journals (Sweden)

Andrew Stokes

Full Text Available The goal of this research was to identify the fraction of deaths attributable to diabetes in the United States.We estimated population attributable fractions (PAF for cohorts aged 30-84 who were surveyed in the National Health Interview Survey (NHIS between 1997 and 2009 (N = 282,322 and in the National Health and Nutrition Examination Survey (NHANES between 1999 and 2010 (N = 21,814. Cohort members were followed prospectively for mortality through 2011. We identified diabetes status using self-reported diagnoses in both NHIS and NHANES and using HbA1c in NHANES. Hazard ratios associated with diabetes were estimated using Cox model adjusted for age, sex, race/ethnicity, educational attainment, and smoking status.We found a high degree of consistency between data sets and definitions of diabetes in the hazard ratios, estimates of diabetes prevalence, and estimates of the proportion of deaths attributable to diabetes. The proportion of deaths attributable to diabetes was estimated to be 11.5% using self-reports in NHIS, 11.7% using self-reports in NHANES, and 11.8% using HbA1c in NHANES. Among the sub-groups that we examined, the PAF was highest among obese persons at 19.4%. The proportion of deaths in which diabetes was assigned as the underlying cause of death (3.3-3.7% severely understated the contribution of diabetes to mortality in the United States.Diabetes may represent a more prominent factor in American mortality than is commonly appreciated, reinforcing the need for robust population-level interventions aimed at diabetes prevention and care.

A Pure Object-Oriented Embedding of Attribute Grammars

NARCIS (Netherlands)

Sloane, A.M.; Kats, L.C.L.; Visser, E.

2010-01-01

Attribute grammars are a powerful specification paradigm for many language processing tasks, particularly semantic analysis of programming languages. Recent attribute grammar systems use dynamic scheduling algorithms to evaluate attributes by need. In this paper, we show how to remove the need for a

Operational Forces soldiers’ perceptions of attributes and skills for career success

CSIR Research Space (South Africa)

Rawoot, Ishreen

2017-07-01

Full Text Available self-administered qualitative survey (n = 98). All participants were permanent Operational Forces soldiers with varying ranks and years of experience. The data were thematically analysed in order to identify themes and specific attributes and skills... factors explaining career success in soldiers. The authors discussed general personality factors such as locus of control, self-efficacy, assertive behaviour and self-esteem and how these factors related to career success in the military environment...

Attributional Styles and Psychosocial Functioning of Adults with ADHD: Practice Issues and Gender Differences

Science.gov (United States)

Rucklidge, Julia; Brown, Deborah; Crawford, Susan; Kaplan, Bonnie

2007-01-01

Objective: This study investigates attributional styles and psychosocial functioning of men and women with ADHD identified in adulthood to inform practice issues. Method: One hundred and eighty adults participate: 52 females with ADHD, 37 males with ADHD, 51 female controls, and 40 male controls are administered questionnaires broadly assessing…

Attributes of Woodland Caribou Migration Habitat in West-Central British Columbia

Directory of Open Access Journals (Sweden)

Art N. Lance

1996-01-01

Full Text Available We examined sites used by 73 caribou located by radio-tracking during spring migration through a forested travel corridor. The physical and botanical characteristics of these sites were described to find what features (if any distinguished them from the forest at large. Raised and open aspect, sparse tree cover, free-draining soils, and a simple flora with abundant lichens were features common to all the sites, but were lacking in the denser forest around. Scores for these attributes were ordinated by multidimensional scaling of similarities and differences from site to site. Separate searings for (i terrain features, (ii tree cover attributes, and (iii floristic content each yielded a single cluster of points with few outliers and no particular pattern or trend. The inference is that the sites conformed to a single type with limited variation. A profile of the distinguishing characteristics was compiled and then applied to transects through the general migration area by persons unfamiliar with it beforehand. Sites which matched the profile proved easy to identify, even though they comprised only a small proportion of the area. Sites with high scores for the most distinctive attributes had more caribou at the time of radio-tracking.

An Attributional Analysis of Reactions to Negative Emotions.

Science.gov (United States)

Karasawa, Kaori

1995-01-01

Three studies examined observers' attributions and reactions to negative emotional displays, as well as expressers' expectations about others' reactions. Analysis revealed that people attribute others' negative emotions equally to situational factors and dispositions, whereas their own emotions are attributed to the situation more than to…

Environmental attributable fractions in remote Australia: the potential of a new approach for local public health action.

Science.gov (United States)

McMullen, Cheryl; Eastwood, Ashley; Ward, Jeanette

2016-04-01

To determine local values for environmental attributable fractions and explore their applicability and potential for public health advocacy. Using World Health Organization (WHO) values for environmental attributable fractions, responses from a practitioner survey (73% response rate) were considered by a smaller skills-based panel to determine consensus values for Kimberley environmental attributable fractions (KEAFs). Applied to de-identified data from 17 remote primary healthcare facilities over two years, numbers and proportions of reasons for attendance directly attributable to the environment were calculated for all ages and children aged 0-4 years, including those for Aboriginal patients. Of 150,357 reasons for attendance for patients of all ages, 31,775 (21.1%) were directly attributable to the environment. The proportion of these directly due to the environment was significantly higher for Aboriginal patients than others (23.1% v 14.6%; penvironmental factors, 20% of total primary healthcare demand could be prevented and, importantly, some 25% of presentations by Aboriginal children. KEAFs have potential to monitor impact of local environmental investments. © 2015 Public Health Association of Australia.

Variable precision rough set for multiple decision attribute analysis

Institute of Scientific and Technical Information of China (English)

Lai; Kin; Keung

2008-01-01

A variable precision rough set (VPRS) model is used to solve the multi-attribute decision analysis (MADA) problem with multiple conflicting decision attributes and multiple condition attributes. By introducing confidence measures and a β-reduct, the VPRS model can rationally solve the conflicting decision analysis problem with multiple decision attributes and multiple condition attributes. For illustration, a medical diagnosis example is utilized to show the feasibility of the VPRS model in solving the MADA...

Identifying key factors for mobilising under-utilised low carbon land resources : A case study on Kalimantan

NARCIS (Netherlands)

Goh, Chun Sheng; Junginger, Martin; Potter, Lesley; Faaij, André; Wicke, Birka

2018-01-01

Mobilising under-utilised low carbon (ULC) land for future agricultural expansion helps minimising further carbon stock loss. This study examined the regency cases in Kalimantan, a carbon loss hotspot, to understand the key factors for mobilising ULC land via narrative interviews with a range of

Attributes of God: Conceptual Foundations of a Foundational Belief.

Science.gov (United States)

Shtulman, Andrew; Lindeman, Marjaana

2016-04-01

Anthropomorphism, or the attribution of human properties to nonhuman entities, is often posited as an explanation for the origin and nature of God concepts, but it remains unclear which human properties we tend to attribute to God and under what conditions. In three studies, participants decided whether two types of human properties-psychological (mind-dependent) properties and physiological (body-dependent) properties-could or could not be attributed to God. In Study 1 (n = 1,525), participants made significantly more psychological attributions than physiological attributions, and the frequency of those attributions was correlated both with participants' religiosity and with their attribution of abstract, theological properties. In Study 2 (n = 99) and Study 3 (n = 138), participants not only showed the same preference for psychological properties but were also significantly faster, more consistent, and more confident when attributing psychological properties to God than when attributing physiological properties. And when denying properties to God, they showed the reverse pattern-that is, they were slower, less consistent, and less confident when denying psychological properties than when denying physiological properties. These patterns were observed both in a predominantly Christian population (Study 2) and a predominantly Hindu population (Study 3). Overall, we argue that God is conceptualized not as a person in general but as an agent in particular, attributed a mind by default but attributed a body only upon further consideration. Copyright © 2015 Cognitive Science Society, Inc.

Key figures for the regional- and distribution grid

International Nuclear Information System (INIS)

Vikingstad, S.

1996-02-01

In Norway, improving the efficiency of the hydroelectric grid operation is a stated goal of the Energy Act. Several studies have identified potential profits of such improvement. This publication focuses on costs and improvement potentials. Publication of key figures may stimulate grid owners, boards and administrations to improve the operating efficiency of their grids. The publication shows key figures for the regional- and distribution grid and is based on accounting data for 1994. The key figures are divided into: (1) Cost structure: The key figures express the relative contributions of each cost component to the total income of the grid, (2) Costs and physical quantities: The key figures show the cost of delivering the transport services, (3) Physical quantities: The key figures describe the working conditions of the energy utility. It appears that the cost structure of the sector varies considerably. The same is true of the cost related to the delivery of grid services. 30 figs., 6 tabs

Integration of Advanced Concepts and Vehicles Into the Next Generation Air Transportation System. Volume 1; Introduction, Key Messages, and Vehicle Attributes

Science.gov (United States)

Zellweger, Andres; Resnick, Herbert; Stevens, Edward; Arkind, Kenneth; Cotton William B.

2010-01-01

Raytheon, in partnership with NASA, is leading the way in ensuring that the future air transportation continues to be a key driver of economic growth and stability and that this system provides an environmentally friendly, safe, and effective means of moving people and goods. A Raytheon-led team of industry and academic experts, under NASA contract NNA08BA47C, looked at the potential issues and impact of introducing four new classes of advanced aircraft into the next generation air transportation system -- known as NextGen. The study will help determine where NASA should further invest in research to support the safe introduction of these new air vehicles. Small uncrewed or unmanned aerial systems (SUAS), super heavy transports (SHT) including hybrid wing body versions (HWB), very light jets (VLJ), and supersonic business jets (SSBJ) are the four classes of aircraft that we studied. Understanding each vehicle's business purpose and strategy is critical to assessing the feasibility of new aircraft operations and their impact on NextGen's architecture. The Raytheon team used scenarios created by aviation experts that depict vehicles in year 2025 operations along with scripts or use cases to understand the issues presented by these new types of vehicles. The information was then mapped into the Joint Planning and Development Office's (JPDO s) Enterprise Architecture to show how the vehicles will fit into NextGen's Concept of Operations. The team also identified significant changes to the JPDO's Integrated Work Plan (IWP) to optimize the NextGen vision for these vehicles. Using a proven enterprise architecture approach and the JPDO s Joint Planning Environment (JPE) web site helped make the leap from architecture to planning efficient, manageable and achievable. Very Light Jets flying into busy hub airports -- Supersonic Business Jets needing to climb and descend rapidly to achieve the necessary altitude Super-heavy cargo planes requiring the shortest common flight

A Multi-Session Attribution Modification Program for Children with Aggressive Behaviour: Changes in Attributions, Emotional Reaction Estimates, and Self-Reported Aggression.

Science.gov (United States)

Vassilopoulos, Stephanos P; Brouzos, Andreas; Andreou, Eleni

2015-09-01

Research suggests that aggressive children are prone to over-attribute hostile intentions to peers. The current study investigated whether this attributional style can be altered using a Cognitive Bias Modification of Interpretations (CBM-I) procedure. A sample of 10-12-year-olds selected for displaying aggressive behaviours was trained over three sessions to endorse benign rather than hostile attributions in response to ambiguous social scenarios. Compared to a test-retest control group (n = 18), children receiving CBM-I (n = 16) were less likely to endorse hostile attributions and more likely to endorse benign attributions in response to a new set of ambiguous social situations. Furthermore, aggressive behaviour scores reduced more in the trained group than in the untrained controls. Children who received attribution training also reported less perceived anger and showed a trend to report more self-control than those in the control group. Implications of these findings are discussed.

Linearly Ordered Attribute Grammar Scheduling Using SAT-Solving

NARCIS (Netherlands)

Bransen, Jeroen; van Binsbergen, L.Thomas; Claessen, Koen; Dijkstra, Atze

2015-01-01

Many computations over trees can be specified using attribute grammars. Compilers for attribute grammars need to find an evaluation order (or schedule) in order to generate efficient code. For the class of linearly ordered attribute grammars such a schedule can be found statically, but this problem

Morphosemantic Attributes of Meetei Proverbs

Directory of Open Access Journals (Sweden)

Lourembam Surjit Singh

2015-06-01

Full Text Available This study proposes to investigate the functions of morphosemantic in Meetei proverbs, particularly the attribution of different meanings of the lexical items in Meetei Proverbial verbs. Meetei society has been using proverbs in the all ages, stages of development, social changes, and cultural diversifications to mark their wisdom of social expertise. Meetei used proverbs as an important aspect of verbal discourses within the socio-cultural and ethno-civilization contexts in which skills, knowledge, ideas, emotion, and experiences are communicating. The language used in proverbs reflects the Meetei’s status of life, food habits, belief systems, philosophy, cultural and social orientations. At the same time, various meanings attribute in Meetei proverbs in the forms of figurative, witty, pithy, didactic etc. The construction of these forms are grammatically insightful thereby creating spaces for a whole range of possibilities for investigating the features, functions and structure of verbal inflectional markers occurred in Meetei proverbial sentences. Keywords: Proverbs, morphosemantics, features of lexical items, attributes of meanings and language

Eye-tracking reveals a slowdown of social context processing during intention attribution in patients with schizophrenia.

Science.gov (United States)

Roux, Paul; Brunet-Gouet, Eric; Passerieux, Christine; Ramus, Franck

2016-03-01

Schizophrenia is associated with poor theory of mind (ToM), particularly in the attribution of intentions to others. It is also associated with abnormal gaze behaviours and contextual processing. This study investigated to what extent impaired ToM in patients with schizophrenia is related to abnormal processing of social context. We evaluated ToM using a nonverbal intention attribution task based on comic strips depicting social/nonsocial and contextual/noncontextual events while eye movements were recorded. Eye-tracking was used to assess processing time dedicated to visual cues contained in regions of interest identified in a pilot study. We measured cognitive contextual control on a separate task. We tested 29 patients with schizophrenia and 29 controls. Compared with controls, patients were slower in intention attribution but not in physical reasoning. They looked longer than controls at contextual cues displayed in the first 2 context pictures of the comic strips, and this difference was greater for intention attribution than for physical reasoning. We found no group difference in time spent looking at noncontextual cues. Patients' impairment in contextual control did not explain their increased reaction time and gaze duration on contextual cues during intention attribution. Difficulty may not have been equivalent between intention attribution and physical reasoning conditions. Overall, schizophrenia was characterized by a delay in intention attribution related to a slowdown of social context processing that was not explained by worse executive contextual control.

Identifying the impacts of climate change on key pests and diseases of plant and animal industries

International Nuclear Information System (INIS)

Luck, Jo; Aurambout, Jean-Philippe; Finlay, Kyla; Azuloas, Joe; Constable, Fiona; Rijswijk, Bonny Rowles-Van

2007-01-01

Full text: Full text: Climate change is increasingly recognised as a major threat to natural and agricultural systems. Understanding these threats will enable government and primary industries to better prepare and adapt to climate change. While observations of climate change are well documented, the potential effects on pests, pathogens and their hosts are not clearly understood. To address this, a review of the potential impacts on plant biosecurity was undertaken to determine the effects of climate change on the behaviour and distribution of emergent plant pests and pathogens. The review identified increasing C02 and temperature, decreasing frost events, heavy and unseasonal rains, increased humidity, drought, cyclones and hurricanes, and warmer winter temperatures as influencing the behaviour of plant pests and pathogens. To study the effects of these changes in detail, three key plant biosecurity threats were analysed in case studies; wheat stripe rust, silver leaf whitefly and citrus canker. The predicted distribution of citrus canker was examined with increasing temperature scenarios using the bioclimatic model CLIMEX. The model predicted a southerly shift in the geographic range of the causal organism which would threaten the major southern citrus growing regions in future climates. A similar study on Bluetongue disease of sheep, spread by the Culicoides midge, also predicted a southerly shift in the vector's geographic range. Significant limitations were identified with bioclimatic modelling when examining the effects of climate change on pests and diseases. The model was unable to assess the plant and animal response to increasing temperature in conjunction with the pest. Also the influence of temperature on the life cycle of the organism, pathogenicity of strains, competition with other species, host coverage and the general effect on the biology of the organism could not be assessed. To begin to address this, a dynamic model was constructed using daily

Determinants attributes in purchase decision: a study in establishments commercialize street food

Directory of Open Access Journals (Sweden)

Hannah Nicchio Loriato

2017-01-01

Full Text Available The attributes of a product can vary greatly in the importance they have for different consumers, and from the idea that there are different degrees of importance in relation to the attributes and importance that influence the buying decision. The purpose of this study is to identify which attributes are crucial for consumers in making buying decisions in establishments that sell street food. It is a study of both qualitative and quantitative nature. In the qualitative phase was conducted semi-structured interviews with 16 customers and analyzed using content analysis.It was carried out one survey, applying 200 questionnaires, to survey data for quantitative phase . The analysis of this quantitative phase was carried out using Excel and SPSS, with the use of multivariate statistical techniques. The results indicated that the service offered is the construct considered crucial to the customers' buying decision. In addition, this study enables the spread of this research scope in the country and contributes to the entrepreneurs in the street food sector seeking strategies to keep themselves firmly in the market.

Application of Bayesian Techniques to Model the Burden of Human Salmonellosis Attributable to U.S. Food Commodities at the Point of Processing: Adaptation of a Danish Model

DEFF Research Database (Denmark)

Guo, Chuanfa; Hoekstra, Robert M.; Schroeder, Carl M.

2011-01-01

-of-processing foodborne illness attribution model by adapting the Hald Salmonella Bayesian source attribution model. Key model outputs include estimates of the relative proportions of domestically acquired sporadic human Salmonella infections resulting from contamination of raw meat, poultry, and egg products processed...... in the United States from 1998 through 2003. The current model estimates the relative contribution of chicken (48%), ground beef (28%), turkey (17%), egg products (6%), intact beef (1%), and pork (...

Threshold Effects of Creative Problem-Solving Attributes on Creativity in the Math Abilities of Taiwanese Upper Elementary Students

OpenAIRE

Lin, Chia-Yi

2017-01-01

This study aimed to help determine what the typology of math creative problem-solving is. Different from studies that have discussed the threshold effect between creativity and intelligence, this research investigated the threshold effect between creativity and other attributes. The typology of the math creative problem-solving abilities of 409 fifth- and sixth-grade Taiwanese students was identified and compared in this study. A Creative Problem-Solving Attribute Instrument was devised for t...

Attributing Hacks

OpenAIRE

Liu, Ziqi; Smola, Alexander J.; Soska, Kyle; Wang, Yu-Xiang; Zheng, Qinghua; Zhou, Jun

2016-01-01

In this paper we describe an algorithm for estimating the provenance of hacks on websites. That is, given properties of sites and the temporal occurrence of attacks, we are able to attribute individual attacks to joint causes and vulnerabilities, as well as estimating the evolution of these vulnerabilities over time. Specifically, we use hazard regression with a time-varying additive hazard function parameterized in a generalized linear form. The activation coefficients on each feature are co...

Use of seismic attributes for sediment classification

Directory of Open Access Journals (Sweden)

Fabio Radomille Santana

2015-04-01

Full Text Available A study to understand the relationships between seismic attributes extracted from 2D high-resolution seismic data and the seafloor's sediments of the surveyed area. As seismic attributes are features highly influenced by the medium through which the seismic waves are propagated, the authors can assume that it would be possible to characterise the geological nature of the seafloor by using these attributes. Herein, a survey was performed on the continental margin of the South Shetland Islands in Antarctica, where both 2D high-resolution seismic data and sediment gravity cores samples were simultaneously acquired. A computational script was written to extract the seismic attributes from the data, which have been statistically analysed with clustering analyses, such as principal components analysis, dendrograms and k-means classification. The extracted seismic attributes are the amplitude, the instantaneous phase, the instantaneous frequency, the envelope, the time derivative of the envelope, the second derivative of the envelope and the acceleration of phase. Statistical evaluation showed that geological classification of the seafloor's sediments is possible by associating these attributes according to their coherence. The methodologies here developed seem to be appropriate for glacio-marine environment and coarse-to-medium silt sediment found in the study area and may be applied to other regions in the same geological conditions.

Valuing Attributes of Home Palliative Care With Service Users: A Pilot Discrete Choice Experiment.

Science.gov (United States)

Gomes, Barbara; de Brito, Maja; Sarmento, Vera P; Yi, Deokhee; Soares, Duarte; Fernandes, Jacinta; Fonseca, Bruno; Gonçalves, Edna; Ferreira, Pedro L; Higginson, Irene J

2017-12-01

Discrete choice experiment (DCE) is a quantitative method that helps determine which service attributes are most valued by people and consequently improve their well-being. The objective of this study was to test a new DCE on home palliative care (HPC). Cross-sectional survey using the DCE method with adult patients and their family caregivers, users of three HPC services in Portugal. Service attributes were based on a Cochrane review, a meta-ethnography, and the few existing DCEs on HPC: 1) team's availability, 2) support for family caregivers, 3) homecare support, 4) information and planning, and 5) waiting time. The experimental design consisted in three blocks of eight choice sets where participants chose between two service alternatives that combined different levels of each attribute. We piloted the DCE using cognitive interviewing. Interviews were analyzed for difficulties using Tourangeau's model of information processing. The DCE was conducted with 21 participants of 37 eligible (10 patients with median Palliative Performance Scale score = 45, 11 caregivers). Most participants found the DCE easy (median 2 from 1 to 5), although two patients did not finish the exercise. Key difficulties related to comprehension (e.g., waiting time sometimes understood as response time for visit instead of time from referral to care start) and judgment (e.g., indecision due to similar service alternatives). The DCE method is feasible and acceptable but not all patients are able to participate. In the main study phase, we will give more attention to the explanation of the waiting time attribute. Copyright © 2017 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Key-value store with internal key-value storage interface

Science.gov (United States)