Evidence-based ethics? On evidence-based practice and the "empirical turn" from normative bioethics

PubMed Central

Goldenberg, Maya J

2005-01-01

Background The increase in empirical methods of research in bioethics over the last two decades is typically perceived as a welcomed broadening of the discipline, with increased integration of social and life scientists into the field and ethics consultants into the clinical setting, however it also represents a loss of confidence in the typical normative and analytic methods of bioethics. Discussion The recent incipiency of "Evidence-Based Ethics" attests to this phenomenon and should be rejected as a solution to the current ambivalence toward the normative resolution of moral problems in a pluralistic society. While "evidence-based" is typically read in medicine and other life and social sciences as the empirically-adequate standard of reasonable practice and a means for increasing certainty, I propose that the evidence-based movement in fact gains consensus by displacing normative discourse with aggregate or statistically-derived empirical evidence as the "bottom line". Therefore, along with wavering on the fact/value distinction, evidence-based ethics threatens bioethics' normative mandate. The appeal of the evidence-based approach is that it offers a means of negotiating the demands of moral pluralism. Rather than appealing to explicit values that are likely not shared by all, "the evidence" is proposed to adjudicate between competing claims. Quantified measures are notably more "neutral" and democratic than liberal markers like "species normal functioning". Yet the positivist notion that claims stand or fall in light of the evidence is untenable; furthermore, the legacy of positivism entails the quieting of empirically non-verifiable (or at least non-falsifiable) considerations like moral claims and judgments. As a result, evidence-based ethics proposes to operate with the implicit normativity that accompanies the production and presentation of all biomedical and scientific facts unchecked. Summary The "empirical turn" in bioethics signals a need for

State of Research on Giftedness and Gifted Education: A Survey of Empirical Studies Published during 1998-2010 (April)

ERIC Educational Resources Information Center

Dai, David Yun; Swanson, Joan Ann; Cheng, Hongyu

2011-01-01

This study surveyed 1,234 empirical studies on giftedness, gifted education, and creativity during 1998-2010 (April), using PsycINFO database and targeted journals as main sources, with respect to main topics these studies focused on, methods they used for investigation, and the conceptual spaces they traversed. Four main research topics emerged…

An Empirical Agent-Based Model to Simulate the Adoption of Water Reuse Using the Social Amplification of Risk Framework.

PubMed

Kandiah, Venu; Binder, Andrew R; Berglund, Emily Z

2017-10-01

Water reuse can serve as a sustainable alternative water source for urban areas. However, the successful implementation of large-scale water reuse projects depends on community acceptance. Because of the negative perceptions that are traditionally associated with reclaimed water, water reuse is often not considered in the development of urban water management plans. This study develops a simulation model for understanding community opinion dynamics surrounding the issue of water reuse, and how individual perceptions evolve within that context, which can help in the planning and decision-making process. Based on the social amplification of risk framework, our agent-based model simulates consumer perceptions, discussion patterns, and their adoption or rejection of water reuse. The model is based on the "risk publics" model, an empirical approach that uses the concept of belief clusters to explain the adoption of new technology. Each household is represented as an agent, and parameters that define their behavior and attributes are defined from survey data. Community-level parameters-including social groups, relationships, and communication variables, also from survey data-are encoded to simulate the social processes that influence community opinion. The model demonstrates its capabilities to simulate opinion dynamics and consumer adoption of water reuse. In addition, based on empirical data, the model is applied to investigate water reuse behavior in different regions of the United States. Importantly, our results reveal that public opinion dynamics emerge differently based on membership in opinion clusters, frequency of discussion, and the structure of social networks. © 2017 Society for Risk Analysis.

Methods for Evaluating Respondent Attrition in Web-Based Surveys

PubMed Central

Sabo, Roy T; Krist, Alex H; Day, Teresa; Cyrus, John; Woolf, Steven H

2016-01-01

Background Electronic surveys are convenient, cost effective, and increasingly popular tools for collecting information. While the online platform allows researchers to recruit and enroll more participants, there is an increased risk of participant dropout in Web-based research. Often, these dropout trends are simply reported, adjusted for, or ignored altogether. Objective To propose a conceptual framework that analyzes respondent attrition and demonstrates the utility of these methods with existing survey data. Methods First, we suggest visualization of attrition trends using bar charts and survival curves. Next, we propose a generalized linear mixed model (GLMM) to detect or confirm significant attrition points. Finally, we suggest applications of existing statistical methods to investigate the effect of internal survey characteristics and patient characteristics on dropout. In order to apply this framework, we conducted a case study; a seventeen-item Informed Decision-Making (IDM) module addressing how and why patients make decisions about cancer screening. Results Using the framework, we were able to find significant attrition points at Questions 4, 6, 7, and 9, and were also able to identify participant responses and characteristics associated with dropout at these points and overall. Conclusions When these methods were applied to survey data, significant attrition trends were revealed, both visually and empirically, that can inspire researchers to investigate the factors associated with survey dropout, address whether survey completion is associated with health outcomes, and compare attrition patterns between groups. The framework can be used to extract information beyond simple responses, can be useful during survey development, and can help determine the external validity of survey results. PMID:27876687

AGENT-BASED MODELS IN EMPIRICAL SOCIAL RESEARCH*

PubMed Central

Bruch, Elizabeth; Atwell, Jon

2014-01-01

Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first discuss the motivations for using agent-based models in both basic science and policy-oriented social research. Next, we provide an overview of methods and strategies for incorporating data on behavior and populations into agent-based models, and review techniques for validating and testing the sensitivity of agent-based models. We close with suggested directions for future research. PMID:25983351

Attachment-Based Family Therapy: A Review of the Empirical Support.

PubMed

Diamond, Guy; Russon, Jody; Levy, Suzanne

2016-09-01

Attachment-based family therapy (ABFT) is an empirically supported treatment designed to capitalize on the innate, biological desire for meaningful and secure relationships. The therapy is grounded in attachment theory and provides an interpersonal, process-oriented, trauma-focused approach to treating adolescent depression, suicidality, and trauma. Although a process-oriented therapy, ABFT offers a clear structure and road map to help therapists quickly address attachment ruptures that lie at the core of family conflict. Several clinical trials and process studies have demonstrated empirical support for the model and its proposed mechanism of change. This article provides an overview of the clinical model and the existing empirical support for ABFT. © 2016 Family Process Institute.

Timing and technique impact the effectiveness of road-based, mobile acoustic surveys of bats.

PubMed

D'Acunto, Laura E; Pauli, Benjamin P; Moy, Mikko; Johnson, Kiara; Abu-Omar, Jasmine; Zollner, Patrick A

2018-03-01

Mobile acoustic surveys are a common method of surveying bat communities. However, there is a paucity of empirical studies exploring different methods for conducting mobile road surveys of bats. During 2013, we conducted acoustic mobile surveys on three routes in north-central Indiana, U.S.A., using (1) a standard road survey, (2) a road survey where the vehicle stopped for 1 min at every half mile of the survey route (called a "start-stop method"), and (3) a road survey with an individual using a bicycle. Linear mixed models with multiple comparison procedures revealed that when all bat passes were analyzed, using a bike to conduct mobile surveys detected significantly more bat passes per unit time compared to other methods. However, incorporating genus-level comparisons revealed no advantage to using a bike over vehicle-based methods. We also found that survey method had a significant effect when analyses were limited to those bat passes that could be identified to genus, with the start-stop method generally detecting more identifiable passes than the standard protocol or bike survey. Additionally, we found that significantly more identifiable bat passes (particularly those of the Eptesicus and Lasiurus genera) were detected in surveys conducted immediately following sunset. As governing agencies, particularly in North America, implement vehicle-based bat monitoring programs, it is important for researchers to understand how variations on protocols influence the inference that can be gained from different monitoring schemes.

Recommended survey designs for occupancy modelling using motion-activated cameras: insights from empirical wildlife data

PubMed Central

Lewis, Jesse S.; Gerber, Brian D.

2014-01-01

Motion-activated cameras are a versatile tool that wildlife biologists can use for sampling wild animal populations to estimate species occurrence. Occupancy modelling provides a flexible framework for the analysis of these data; explicitly recognizing that given a species occupies an area the probability of detecting it is often less than one. Despite the number of studies using camera data in an occupancy framework, there is only limited guidance from the scientific literature about survey design trade-offs when using motion-activated cameras. A fuller understanding of these trade-offs will allow researchers to maximise available resources and determine whether the objectives of a monitoring program or research study are achievable. We use an empirical dataset collected from 40 cameras deployed across 160 km2 of the Western Slope of Colorado, USA to explore how survey effort (number of cameras deployed and the length of sampling period) affects the accuracy and precision (i.e., error) of the occupancy estimate for ten mammal and three virtual species. We do this using a simulation approach where species occupancy and detection parameters were informed by empirical data from motion-activated cameras. A total of 54 survey designs were considered by varying combinations of sites (10–120 cameras) and occasions (20–120 survey days). Our findings demonstrate that increasing total sampling effort generally decreases error associated with the occupancy estimate, but changing the number of sites or sampling duration can have very different results, depending on whether a species is spatially common or rare (occupancy = ψ) and easy or hard to detect when available (detection probability = p). For rare species with a low probability of detection (i.e., raccoon and spotted skunk) the required survey effort includes maximizing the number of sites and the number of survey days, often to a level that may be logistically unrealistic for many studies. For common species with

The Impact of Training for Empirically Based Practice.

ERIC Educational Resources Information Center

Simons, Ronald

1987-01-01

Consistent with previous research, a course to teach empirically based practice produced a short-term effect on students which dissipated in the months following graduation. Long-term impact was related to the attitudes of co-workers and the type of agency. Strategies are suggested for countering those negative influences. (Author/MH)

Assessing differential expression in two-color microarrays: a resampling-based empirical Bayes approach.

PubMed

Li, Dongmei; Le Pape, Marc A; Parikh, Nisha I; Chen, Will X; Dye, Timothy D

2013-01-01

Microarrays are widely used for examining differential gene expression, identifying single nucleotide polymorphisms, and detecting methylation loci. Multiple testing methods in microarray data analysis aim at controlling both Type I and Type II error rates; however, real microarray data do not always fit their distribution assumptions. Smyth's ubiquitous parametric method, for example, inadequately accommodates violations of normality assumptions, resulting in inflated Type I error rates. The Significance Analysis of Microarrays, another widely used microarray data analysis method, is based on a permutation test and is robust to non-normally distributed data; however, the Significance Analysis of Microarrays method fold change criteria are problematic, and can critically alter the conclusion of a study, as a result of compositional changes of the control data set in the analysis. We propose a novel approach, combining resampling with empirical Bayes methods: the Resampling-based empirical Bayes Methods. This approach not only reduces false discovery rates for non-normally distributed microarray data, but it is also impervious to fold change threshold since no control data set selection is needed. Through simulation studies, sensitivities, specificities, total rejections, and false discovery rates are compared across the Smyth's parametric method, the Significance Analysis of Microarrays, and the Resampling-based empirical Bayes Methods. Differences in false discovery rates controls between each approach are illustrated through a preterm delivery methylation study. The results show that the Resampling-based empirical Bayes Methods offer significantly higher specificity and lower false discovery rates compared to Smyth's parametric method when data are not normally distributed. The Resampling-based empirical Bayes Methods also offers higher statistical power than the Significance Analysis of Microarrays method when the proportion of significantly differentially

Methods for Evaluating Respondent Attrition in Web-Based Surveys.

PubMed

Hochheimer, Camille J; Sabo, Roy T; Krist, Alex H; Day, Teresa; Cyrus, John; Woolf, Steven H

2016-11-22

Electronic surveys are convenient, cost effective, and increasingly popular tools for collecting information. While the online platform allows researchers to recruit and enroll more participants, there is an increased risk of participant dropout in Web-based research. Often, these dropout trends are simply reported, adjusted for, or ignored altogether. To propose a conceptual framework that analyzes respondent attrition and demonstrates the utility of these methods with existing survey data. First, we suggest visualization of attrition trends using bar charts and survival curves. Next, we propose a generalized linear mixed model (GLMM) to detect or confirm significant attrition points. Finally, we suggest applications of existing statistical methods to investigate the effect of internal survey characteristics and patient characteristics on dropout. In order to apply this framework, we conducted a case study; a seventeen-item Informed Decision-Making (IDM) module addressing how and why patients make decisions about cancer screening. Using the framework, we were able to find significant attrition points at Questions 4, 6, 7, and 9, and were also able to identify participant responses and characteristics associated with dropout at these points and overall. When these methods were applied to survey data, significant attrition trends were revealed, both visually and empirically, that can inspire researchers to investigate the factors associated with survey dropout, address whether survey completion is associated with health outcomes, and compare attrition patterns between groups. The framework can be used to extract information beyond simple responses, can be useful during survey development, and can help determine the external validity of survey results. ©Camille J Hochheimer, Roy T Sabo, Alex H Krist, Teresa Day, John Cyrus, Steven H Woolf. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.11.2016.

A Rational Examination of Integrating "Classics" into University General Education Curriculum: An Empirical Survey Based on N University

ERIC Educational Resources Information Center

Zhong, Zhenshan; Sun, Mengyao

2018-01-01

The power of general education curriculum comes from the enduring classics. The authors apply research methods such as questionnaire survey, interview, and observation to investigate the state of general education curriculum implementation at N University and analyze problems faced by incorporating classics. Based on this, the authors propose that…

Multi-focus image fusion based on window empirical mode decomposition

NASA Astrophysics Data System (ADS)

Qin, Xinqiang; Zheng, Jiaoyue; Hu, Gang; Wang, Jiao

2017-09-01

In order to improve multi-focus image fusion quality, a novel fusion algorithm based on window empirical mode decomposition (WEMD) is proposed. This WEMD is an improved form of bidimensional empirical mode decomposition (BEMD), due to its decomposition process using the adding window principle, effectively resolving the signal concealment problem. We used WEMD for multi-focus image fusion, and formulated different fusion rules for bidimensional intrinsic mode function (BIMF) components and the residue component. For fusion of the BIMF components, the concept of the Sum-modified-Laplacian was used and a scheme based on the visual feature contrast adopted; when choosing the residue coefficients, a pixel value based on the local visibility was selected. We carried out four groups of multi-focus image fusion experiments and compared objective evaluation criteria with other three fusion methods. The experimental results show that the proposed fusion approach is effective and performs better at fusing multi-focus images than some traditional methods.

Monitoring of Qualifications and Employment in Austria: An Empirical Approach Based on the Labour Force Survey

ERIC Educational Resources Information Center

Lassnigg, Lorenz; Vogtenhuber, Stefan

2011-01-01

The empirical approach referred to in this article describes the relationship between education and training (ET) supply and employment in Austria; the use of the new ISCED (International Standard Classification of Education) fields of study variable makes this approach applicable abroad. The purpose is to explore a system that produces timely…

The Gaia-ESO Survey: Empirical determination of the precision of stellar radial velocities and projected rotation velocities

NASA Astrophysics Data System (ADS)

Jackson, R. J.; Jeffries, R. D.; Lewis, J.; Koposov, S. E.; Sacco, G. G.; Randich, S.; Gilmore, G.; Asplund, M.; Binney, J.; Bonifacio, P.; Drew, J. E.; Feltzing, S.; Ferguson, A. M. N.; Micela, G.; Neguerela, I.; Prusti, T.; Rix, H.-W.; Vallenari, A.; Alfaro, E. J.; Allende Prieto, C.; Babusiaux, C.; Bensby, T.; Blomme, R.; Bragaglia, A.; Flaccomio, E.; Francois, P.; Hambly, N.; Irwin, M.; Korn, A. J.; Lanzafame, A. C.; Pancino, E.; Recio-Blanco, A.; Smiljanic, R.; Van Eck, S.; Walton, N.; Bayo, A.; Bergemann, M.; Carraro, G.; Costado, M. T.; Damiani, F.; Edvardsson, B.; Franciosini, E.; Frasca, A.; Heiter, U.; Hill, V.; Hourihane, A.; Jofré, P.; Lardo, C.; de Laverny, P.; Lind, K.; Magrini, L.; Marconi, G.; Martayan, C.; Masseron, T.; Monaco, L.; Morbidelli, L.; Prisinzano, L.; Sbordone, L.; Sousa, S. G.; Worley, C. C.; Zaggia, S.

2015-08-01

Context. The Gaia-ESO Survey (GES) is a large public spectroscopic survey at the European Southern Observatory Very Large Telescope. Aims: A key aim is to provide precise radial velocities (RVs) and projected equatorial velocities (vsini) for representative samples of Galactic stars, which will complement information obtained by the Gaia astrometry satellite. Methods: We present an analysis to empirically quantify the size and distribution of uncertainties in RV and vsini using spectra from repeated exposures of the same stars. Results: We show that the uncertainties vary as simple scaling functions of signal-to-noise ratio (S/N) and vsini, that the uncertainties become larger with increasing photospheric temperature, but that the dependence on stellar gravity, metallicity and age is weak. The underlying uncertainty distributions have extended tails that are better represented by Student's t-distributions than by normal distributions. Conclusions: Parametrised results are provided, which enable estimates of the RV precision for almost all GES measurements, and estimates of the vsini precision for stars in young clusters, as a function of S/N, vsini and stellar temperature. The precision of individual high S/N GES RV measurements is 0.22-0.26 km s-1, dependent on instrumental configuration. Based on observations collected with the FLAMES spectrograph at VLT/UT2 telescope (Paranal Observatory, ESO, Chile), for the Gaia- ESO Large Public Survey (188.B-3002).Full Table 2 is only available at the CDS via anonymous ftp to http://cdsarc.u-strasbg.fr (ftp://130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/580/A75

Augmented Reality-Based Simulators as Discovery Learning Tools: An Empirical Study

ERIC Educational Resources Information Center

Ibáñez, María-Blanca; Di-Serio, Ángela; Villarán-Molina, Diego; Delgado-Kloos, Carlos

2015-01-01

This paper reports empirical evidence on having students use AR-SaBEr, a simulation tool based on augmented reality (AR), to discover the basic principles of electricity through a series of experiments. AR-SaBEr was enhanced with knowledge-based support and inquiry-based scaffolding mechanisms, which proved useful for discovery learning in…

Bacterial clonal diagnostics as a tool for evidence-based empiric antibiotic selection.

PubMed

Tchesnokova, Veronika; Avagyan, Hovhannes; Rechkina, Elena; Chan, Diana; Muradova, Mariya; Haile, Helen Ghirmai; Radey, Matthew; Weissman, Scott; Riddell, Kim; Scholes, Delia; Johnson, James R; Sokurenko, Evgeni V

2017-01-01

Despite the known clonal distribution of antibiotic resistance in many bacteria, empiric (pre-culture) antibiotic selection still relies heavily on species-level cumulative antibiograms, resulting in overuse of broad-spectrum agents and excessive antibiotic/pathogen mismatch. Urinary tract infections (UTIs), which account for a large share of antibiotic use, are caused predominantly by Escherichia coli, a highly clonal pathogen. In an observational clinical cohort study of urgent care patients with suspected UTI, we assessed the potential for E. coli clonal-level antibiograms to improve empiric antibiotic selection. A novel PCR-based clonotyping assay was applied to fresh urine samples to rapidly detect E. coli and the urine strain's clonotype. Based on a database of clonotype-specific antibiograms, the acceptability of various antibiotics for empiric therapy was inferred using a 20%, 10%, and 30% allowed resistance threshold. The test's performance characteristics and possible effects on prescribing were assessed. The rapid test identified E. coli clonotypes directly in patients' urine within 25-35 minutes, with high specificity and sensitivity compared to culture. Antibiotic selection based on a clonotype-specific antibiogram could reduce the relative likelihood of antibiotic/pathogen mismatch by ≥ 60%. Compared to observed prescribing patterns, clonal diagnostics-guided antibiotic selection could safely double the use of trimethoprim/sulfamethoxazole and minimize fluoroquinolone use. In summary, a rapid clonotyping test showed promise for improving empiric antibiotic prescribing for E. coli UTI, including reversing preferential use of fluoroquinolones over trimethoprim/sulfamethoxazole. The clonal diagnostics approach merges epidemiologic surveillance, antimicrobial stewardship, and molecular diagnostics to bring evidence-based medicine directly to the point of care.

STEAM: a software tool based on empirical analysis for micro electro mechanical systems

NASA Astrophysics Data System (ADS)

Devasia, Archana; Pasupuleti, Ajay; Sahin, Ferat

2006-03-01

In this research a generalized software framework that enables accurate computer aided design of MEMS devices is developed. The proposed simulation engine utilizes a novel material property estimation technique that generates effective material properties at the microscopic level. The material property models were developed based on empirical analysis and the behavior extraction of standard test structures. A literature review is provided on the physical phenomena that govern the mechanical behavior of thin films materials. This survey indicates that the present day models operate under a wide range of assumptions that may not be applicable to the micro-world. Thus, this methodology is foreseen to be an essential tool for MEMS designers as it would develop empirical models that relate the loading parameters, material properties, and the geometry of the microstructures with its performance characteristics. This process involves learning the relationship between the above parameters using non-parametric learning algorithms such as radial basis function networks and genetic algorithms. The proposed simulation engine has a graphical user interface (GUI) which is very adaptable, flexible, and transparent. The GUI is able to encompass all parameters associated with the determination of the desired material property so as to create models that provide an accurate estimation of the desired property. This technique was verified by fabricating and simulating bilayer cantilevers consisting of aluminum and glass (TEOS oxide) in our previous work. The results obtained were found to be very encouraging.

Palm vein recognition based on directional empirical mode decomposition

NASA Astrophysics Data System (ADS)

Lee, Jen-Chun; Chang, Chien-Ping; Chen, Wei-Kuei

2014-04-01

Directional empirical mode decomposition (DEMD) has recently been proposed to make empirical mode decomposition suitable for the processing of texture analysis. Using DEMD, samples are decomposed into a series of images, referred to as two-dimensional intrinsic mode functions (2-D IMFs), from finer to large scale. A DEMD-based 2 linear discriminant analysis (LDA) for palm vein recognition is proposed. The proposed method progresses through three steps: (i) a set of 2-D IMF features of various scale and orientation are extracted using DEMD, (ii) the 2LDA method is then applied to reduce the dimensionality of the feature space in both the row and column directions, and (iii) the nearest neighbor classifier is used for classification. We also propose two strategies for using the set of 2-D IMF features: ensemble DEMD vein representation (EDVR) and multichannel DEMD vein representation (MDVR). In experiments using palm vein databases, the proposed MDVR-based 2LDA method achieved recognition accuracy of 99.73%, thereby demonstrating its feasibility for palm vein recognition.

Survey Says? A Primer on Web-based Survey Design and Distribution

PubMed Central

Oppenheimer, Adam J.; Pannucci, Christopher J.; Kasten, Steven J.; Haase, Steven C.

2011-01-01

The internet has changed the way in which we gather and interpret information. While books were once the exclusive bearers of data, knowledge is now only a keystroke away. The internet has also facilitated the synthesis of new knowledge. Specifically, it has become a tool through which medical research is conducted. A review of the literature reveals that in the past year, over one-hundred medical publications have been based on web-based survey data alone. Due to emerging internet technologies, web-based surveys can now be launched with little computer knowledge. They may also be self-administered, eliminating personnel requirements. Ultimately, an investigator may build, implement, and analyze survey results with speed and efficiency, obviating the need for mass mailings and data processing. All of these qualities have rendered telephone and mail-based surveys virtually obsolete. Despite these capabilities, web-based survey techniques are not without their limitations, namely recall and response biases. When used properly, however, web-based surveys can greatly simplify the research process. This article discusses the implications of web-based surveys and provides guidelines for their effective design and distribution. PMID:21701347

Ownership of individual retirement accounts – an empirical analysis based on SHARE

PubMed Central

Garcia, Maria Teresa Medeiros; Marques, Pedro Deslandes Correia Vasconcelos

2017-01-01

This paper examines the household retirement saving decisions in what concerns to the ownership of Individual Retirement Accounts (IRAs) in eight European Union (EU) countries. IRAs are more and more seen as an alternative to public pension benefits, which are decreasing. Therefore, understanding the enrolment in IRAs, both the socio-economic factors and over time, is most important. Detailed empirical analysis of the factors that might influence the ownership of IRAs is presented based on Survey of Health Ageing and Retirement in Europe (SHARE), using data from Wave 2 (2006-2007) and Wave 4 (2010-2011). Further, to analyse the impact of legal retirement age in the ownership of IRAs, two subsamples are considered: people aged between 50 and 64 years old (50-64 years) and people aged 65 or over (≥ 65 years). The results suggest that age, years of education, income and ownership of dwelling influence positively and significantly household saving, while number of children, marital status and risk aversion have a negative effect. Marital status and income are not statistically significant for retired people. Policy implications are derived. PMID:28983144

Racism, health status, and birth outcomes: results of a participatory community-based intervention and health survey.

PubMed

Carty, Denise C; Kruger, Daniel J; Turner, Tonya M; Campbell, Bettina; DeLoney, E Hill; Lewis, E Yvonne

2011-02-01

Many community-based participatory research (CBPR) partnerships address social determinants of health as a central consideration. However, research studies that explicitly address racism are scarce in the CBPR literature, and there is a dearth of available community-generated data to empirically examine how racism influences health disparities at the local level. In this paper, we provide results of a cross-sectional, population-based health survey conducted in the urban areas of Genesee and Saginaw Counties in Michigan to assess how a sustained community intervention to reduce racism and infant mortality influenced knowledge, beliefs, and experiences of racism and to explore how perceived racism is associated with self-rated health and birth outcomes. We used ANOVA and regression models to compare the responses of intervention participants and non-participants as well as African Americans and European Americans (N = 629). We found that intervention participants reported greater acknowledgment of the enduring and differential impact of racism in comparison to the non-intervention participants. Moreover, survey analyses revealed that racism was associated with health in the following ways: (1) experiences of racial discrimination predicted self-rated physical health, mental health, and smoking status; (2) perceived racism against one's racial group predicted lower self-rated physical health; and (3) emotional responses to racism-related experiences were marginally associated with lower birth-weight births in the study sample. Our study bolsters the published findings on perceived racism and health outcomes and highlights the usefulness of CBPR and community surveys to empirically investigate racism as a social determinant of health.

Bacterial clonal diagnostics as a tool for evidence-based empiric antibiotic selection

PubMed Central

Tchesnokova, Veronika; Avagyan, Hovhannes; Rechkina, Elena; Chan, Diana; Muradova, Mariya; Haile, Helen Ghirmai; Radey, Matthew; Weissman, Scott; Riddell, Kim; Scholes, Delia; Johnson, James R.

2017-01-01

Despite the known clonal distribution of antibiotic resistance in many bacteria, empiric (pre-culture) antibiotic selection still relies heavily on species-level cumulative antibiograms, resulting in overuse of broad-spectrum agents and excessive antibiotic/pathogen mismatch. Urinary tract infections (UTIs), which account for a large share of antibiotic use, are caused predominantly by Escherichia coli, a highly clonal pathogen. In an observational clinical cohort study of urgent care patients with suspected UTI, we assessed the potential for E. coli clonal-level antibiograms to improve empiric antibiotic selection. A novel PCR-based clonotyping assay was applied to fresh urine samples to rapidly detect E. coli and the urine strain's clonotype. Based on a database of clonotype-specific antibiograms, the acceptability of various antibiotics for empiric therapy was inferred using a 20%, 10%, and 30% allowed resistance threshold. The test's performance characteristics and possible effects on prescribing were assessed. The rapid test identified E. coli clonotypes directly in patients’ urine within 25–35 minutes, with high specificity and sensitivity compared to culture. Antibiotic selection based on a clonotype-specific antibiogram could reduce the relative likelihood of antibiotic/pathogen mismatch by ≥ 60%. Compared to observed prescribing patterns, clonal diagnostics-guided antibiotic selection could safely double the use of trimethoprim/sulfamethoxazole and minimize fluoroquinolone use. In summary, a rapid clonotyping test showed promise for improving empiric antibiotic prescribing for E. coli UTI, including reversing preferential use of fluoroquinolones over trimethoprim/sulfamethoxazole. The clonal diagnostics approach merges epidemiologic surveillance, antimicrobial stewardship, and molecular diagnostics to bring evidence-based medicine directly to the point of care. PMID:28350870

Performance-Based Service Quality Model: An Empirical Study on Japanese Universities

ERIC Educational Resources Information Center

Sultan, Parves; Wong, Ho

2010-01-01

Purpose: This paper aims to develop and empirically test the performance-based higher education service quality model. Design/methodology/approach: The study develops 67-item instrument for measuring performance-based service quality with a particular focus on the higher education sector. Scale reliability is confirmed using the Cronbach's alpha.…

An empirically based model for knowledge management in health care organizations.

PubMed

Sibbald, Shannon L; Wathen, C Nadine; Kothari, Anita

2016-01-01

Knowledge management (KM) encompasses strategies, processes, and practices that allow an organization to capture, share, store, access, and use knowledge. Ideal KM combines different sources of knowledge to support innovation and improve performance. Despite the importance of KM in health care organizations (HCOs), there has been very little empirical research to describe KM in this context. This study explores KM in HCOs, focusing on the status of current intraorganizational KM. The intention is to provide insight for future studies and model development for effective KM implementation in HCOs. A qualitative methods approach was used to create an empirically based model of KM in HCOs. Methods included (a) qualitative interviews (n = 24) with senior leadership to identify types of knowledge important in these roles plus current information-seeking behaviors/needs and (b) in-depth case study with leaders in new executive positions (n = 2). The data were collected from 10 HCOs. Our empirically based model for KM was assessed for face and content validity. The findings highlight the paucity of formal KM in our sample HCOs. Organizational culture, leadership, and resources are instrumental in supporting KM processes. An executive's knowledge needs are extensive, but knowledge assets are often limited or difficult to acquire as much of the available information is not in a usable format. We propose an empirically based model for KM to highlight the importance of context (internal and external), and knowledge seeking, synthesis, sharing, and organization. Participants who reviewed the model supported its basic components and processes, and potential for incorporating KM into organizational processes. Our results articulate ways to improve KM, increase organizational learning, and support evidence-informed decision-making. This research has implications for how to better integrate evidence and knowledge into organizations while considering context and the role of

Base course resilient modulus for the mechanistic-empirical pavement design guide.

DOT National Transportation Integrated Search

2011-11-01

The Mechanistic-Empirical Pavement Design Guidelines (MEPDG) recommend use of modulus in lieu of structural number for base layer thickness design. Modulus is nonlinear with respect to effective confinement stress, loading strain, and moisture. For d...

Selecting Great Lakes streams for lampricide treatment based on larval sea lamprey surveys

USGS Publications Warehouse

Christie, Gavin C.; Adams, Jean V.; Steeves, Todd B.; Slade, Jeffrey W.; Cuddy, Douglas W.; Fodale, Michael F.; Young, Robert J.; Kuc, Miroslaw; Jones, Michael L.

2003-01-01

The Empiric Stream Treatment Ranking (ESTR) system is a data-driven, model-based, decision tool for selecting Great Lakes streams for treatment with lampricide, based on estimates from larval sea lamprey (Petromyzon marinus) surveys conducted throughout the basin. The 2000 ESTR system was described and applied to larval assessment surveys conducted from 1996 to 1999. A comparative analysis of stream survey and selection data was conducted and improvements to the stream selection process were recommended. Streams were selected for treatment based on treatment cost, predicted treatment effectiveness, and the projected number of juvenile sea lampreys produced. On average, lampricide treatments were applied annually to 49 streams with 1,075 ha of larval habitat, killing 15 million larval and 514,000 juvenile sea lampreys at a total cost of $5.3 million, and marginal and mean costs of $85 and $10 per juvenile killed. The numbers of juvenile sea lampreys killed for given treatment costs showed a pattern of diminishing returns with increasing investment. Of the streams selected for treatment, those with > 14 ha of larval habitat targeted 73% of the juvenile sea lampreys for 60% of the treatment cost. Suggested improvements to the ESTR system were to improve accuracy and precision of model estimates, account for uncertainty in estimates, include all potentially productive streams in the process (not just those surveyed in the current year), consider the value of all larvae killed during treatment (not just those predicted to metamorphose the following year), use lake-specific estimates of damage, and establish formal suppression targets.

A Comparison of Web-Based and Paper-Based Survey Methods: Testing Assumptions of Survey Mode and Response Cost

ERIC Educational Resources Information Center

Greenlaw, Corey; Brown-Welty, Sharon

2009-01-01

Web-based surveys have become more prevalent in areas such as evaluation, research, and marketing research to name a few. The proliferation of these online surveys raises the question, how do response rates compare with traditional surveys and at what cost? This research explored response rates and costs for Web-based surveys, paper surveys, and…

Sources of Error in Substance Use Prevalence Surveys

PubMed Central

Johnson, Timothy P.

2014-01-01

Population-based estimates of substance use patterns have been regularly reported now for several decades. Concerns with the quality of the survey methodologies employed to produce those estimates date back almost as far. Those concerns have led to a considerable body of research specifically focused on understanding the nature and consequences of survey-based errors in substance use epidemiology. This paper reviews and summarizes that empirical research by organizing it within a total survey error model framework that considers multiple types of representation and measurement errors. Gaps in our knowledge of error sources in substance use surveys and areas needing future research are also identified. PMID:27437511

Body surface assessment with 3D laser-based anthropometry: reliability, validation, and improvement of empirical surface formulae.

PubMed

Kuehnapfel, Andreas; Ahnert, Peter; Loeffler, Markus; Scholz, Markus

2017-02-01

Body surface area is a physiological quantity relevant for many medical applications. In clinical practice, it is determined by empirical formulae. 3D laser-based anthropometry provides an easy and effective way to measure body surface area but is not ubiquitously available. We used data from laser-based anthropometry from a population-based study to assess validity of published and commonly used empirical formulae. We performed a large population-based study on adults collecting classical anthropometric measurements and 3D body surface assessments (N = 1435). We determined reliability of the 3D body surface assessment and validity of 18 different empirical formulae proposed in the literature. The performance of these formulae is studied in subsets of sex and BMI. Finally, improvements of parameter settings of formulae and adjustments for sex and BMI were considered. 3D body surface measurements show excellent intra- and inter-rater reliability of 0.998 (overall concordance correlation coefficient, OCCC was used as measure of agreement). Empirical formulae of Fujimoto and Watanabe, Shuter and Aslani and Sendroy and Cecchini performed best with excellent concordance with OCCC > 0.949 even in subgroups of sex and BMI. Re-parametrization of formulae and adjustment for sex and BMI slightly improved results. In adults, 3D laser-based body surface assessment is a reliable alternative to estimation by empirical formulae. However, there are empirical formulae showing excellent results even in subgroups of sex and BMI with only little room for improvement.

A comparison of web-based and paper-based survey methods: testing assumptions of survey mode and response cost.

PubMed

Greenlaw, Corey; Brown-Welty, Sharon

2009-10-01

Web-based surveys have become more prevalent in areas such as evaluation, research, and marketing research to name a few. The proliferation of these online surveys raises the question, how do response rates compare with traditional surveys and at what cost? This research explored response rates and costs for Web-based surveys, paper surveys, and mixed-mode surveys. The participants included evaluators from the American Evaluation Association (AEA). Results included that mixed-mode, while more expensive, had higher response rates.

Systematic Review of Empirically Evaluated School-Based Gambling Education Programs.

PubMed

Keen, Brittany; Blaszczynski, Alex; Anjoul, Fadi

2017-03-01

Adolescent problem gambling prevalence rates are reportedly five times higher than in the adult population. Several school-based gambling education programs have been developed in an attempt to reduce problem gambling among adolescents; however few have been empirically evaluated. The aim of this review was to report the outcome of studies empirically evaluating gambling education programs across international jurisdictions. A systematic review following guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement searching five academic databases: PubMed, Scopus, Medline, PsycINFO, and ERIC, was conducted. A total of 20 papers and 19 studies were included after screening and exclusion criteria were applied. All studies reported intervention effects on cognitive outcomes such as knowledge, perceptions, and beliefs. Only nine of the studies attempted to measure intervention effects on behavioural outcomes, and only five of those reported significant changes in gambling behaviour. Of these five, methodological inadequacies were commonly found including brief follow-up periods, lack of control comparison in post hoc analyses, and inconsistencies and misclassifications in the measurement of gambling behaviour, including problem gambling. Based on this review, recommendations are offered for the future development and evaluation of school-based gambling education programs relating to both methodological and content design and delivery considerations.

Conducting Web-Based Surveys. ERIC Digest.

ERIC Educational Resources Information Center

Solomon, David J.

Web-based surveying is very attractive for many reasons, including reducing the time and cost of conducting a survey and avoiding the often error prone and tedious task of data entry. At this time, Web-based surveys should still be used with caution. The biggest concern at present is coverage bias or bias resulting from sampled people either not…

EMPIRE and pyenda: Two ensemble-based data assimilation systems written in Fortran and Python

NASA Astrophysics Data System (ADS)

Geppert, Gernot; Browne, Phil; van Leeuwen, Peter Jan; Merker, Claire

2017-04-01

We present and compare the features of two ensemble-based data assimilation frameworks, EMPIRE and pyenda. Both frameworks allow to couple models to the assimilation codes using the Message Passing Interface (MPI), leading to extremely efficient and fast coupling between models and the data-assimilation codes. The Fortran-based system EMPIRE (Employing Message Passing Interface for Researching Ensembles) is optimized for parallel, high-performance computing. It currently includes a suite of data assimilation algorithms including variants of the ensemble Kalman and several the particle filters. EMPIRE is targeted at models of all kinds of complexity and has been coupled to several geoscience models, eg. the Lorenz-63 model, a barotropic vorticity model, the general circulation model HadCM3, the ocean model NEMO, and the land-surface model JULES. The Python-based system pyenda (Python Ensemble Data Assimilation) allows Fortran- and Python-based models to be used for data assimilation. Models can be coupled either using MPI or by using a Python interface. Using Python allows quick prototyping and pyenda is aimed at small to medium scale models. pyenda currently includes variants of the ensemble Kalman filter and has been coupled to the Lorenz-63 model, an advection-based precipitation nowcasting scheme, and the dynamic global vegetation model JSBACH.

Personnel Administrators' Preferences for Resume Content: A Survey and Review of Empirically Based Conclusions.

ERIC Educational Resources Information Center

Hutchinson, Kevin L.

1984-01-01

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

Education and Earnings: Empirical Findings from Alternative Operationalizations.

ERIC Educational Resources Information Center

Kominski, Robert

Data from the third-wave interview of the 1984 panel of the Survey of Income and Program Participation (SIPP) are used to assess the empirical impact of a SIPP item concerning educational attainment on the regression of earnings on educational attainment. The SIPP is a longitudinal survey conducted by the United States Census Bureau to measure…

Management of infection during chemotherapy for acute leukemia in Japan: a nationwide questionnaire-based survey by the Japan Adult Leukemia Study Group.

PubMed

Kimura, Shun-Ichi; Fujita, Hiroyuki; Kato, Hideaki; Hiramoto, Nobuhiro; Hosono, Naoko; Takahashi, Tsutomu; Shigeno, Kazuyuki; Hatsumi, Naoko; Minamiguchi, Hitoshi; Miyatake, Junichi; Handa, Hiroshi; Akiyama, Nobu; Kanda, Yoshinobu; Yoshida, Minoru; Kiyoi, Hitoshi; Miyazaki, Yasushi; Naoe, Tomoki

2017-11-01

We performed a nationwide questionnaire-based survey to evaluate the current clinical practices of infectious complications during chemotherapy for acute leukemia in Japan. We e-mailed a questionnaire to member institutions of the Japan Adult Leukemia Study Group in September, 2013. The questionnaire consisted of 50 multiple-choice questions covering therapeutic environment, antimicrobial prophylaxis, screening test during neutropenia, empirical therapy for febrile neutropenia, and the use of granulocyte-colony stimulating factor. The results were compared to those of previous surveys conducted in 2001 and 2007, and also to the recommendations described in the guidelines. Usable responses were received from 141 out of 222 (63.5%) institutions. Chemotherapy for acute myeloid leukemia was performed in protective environment in 90% of the institutions, which increased compared to previous survey (76%). Fluoroquinolones and fluconazole were the most commonly used antimicrobial agents for antibacterial and antifungal prophylaxis, followed by sulfamethoxazole-trimethoprim and itraconazole, respectively. In empirical therapy for febrile neutropenia, monotherapy with β-lactum antibiotics was the first-line therapy in most of the institutions. While empirical antifungal therapy was adopted for persistent fever in more than half of the institutions, preemptive/presumptive therapy was also used in approximately 40% of the institutions. Most of the clinicians were reluctant to use granulocyte-colony stimulating factor routinely in chemotherapy for acute myeloid leukemia. This study clarified the current clinical practices of infectious complications during chemotherapy for acute leukemia and would provide important information for the development of a suitable guideline in Japan.

An empirical study using permutation-based resampling in meta-regression

PubMed Central

2012-01-01

Background In meta-regression, as the number of trials in the analyses decreases, the risk of false positives or false negatives increases. This is partly due to the assumption of normality that may not hold in small samples. Creation of a distribution from the observed trials using permutation methods to calculate P values may allow for less spurious findings. Permutation has not been empirically tested in meta-regression. The objective of this study was to perform an empirical investigation to explore the differences in results for meta-analyses on a small number of trials using standard large sample approaches verses permutation-based methods for meta-regression. Methods We isolated a sample of randomized controlled clinical trials (RCTs) for interventions that have a small number of trials (herbal medicine trials). Trials were then grouped by herbal species and condition and assessed for methodological quality using the Jadad scale, and data were extracted for each outcome. Finally, we performed meta-analyses on the primary outcome of each group of trials and meta-regression for methodological quality subgroups within each meta-analysis. We used large sample methods and permutation methods in our meta-regression modeling. We then compared final models and final P values between methods. Results We collected 110 trials across 5 intervention/outcome pairings and 5 to 10 trials per covariate. When applying large sample methods and permutation-based methods in our backwards stepwise regression the covariates in the final models were identical in all cases. The P values for the covariates in the final model were larger in 78% (7/9) of the cases for permutation and identical for 22% (2/9) of the cases. Conclusions We present empirical evidence that permutation-based resampling may not change final models when using backwards stepwise regression, but may increase P values in meta-regression of multiple covariates for relatively small amount of trials. PMID:22587815

Satellite-based empirical models linking river plume dynamics with hypoxic area andvolume

EPA Science Inventory

Satellite-based empirical models explaining hypoxic area and volume variation were developed for the seasonally hypoxic (O2 < 2 mg L−1) northern Gulf of Mexico adjacent to the Mississippi River. Annual variations in midsummer hypoxic area and ...

Implementing Evidence-Based Practice: A Review of the Empirical Research Literature

ERIC Educational Resources Information Center

Gray, Mel; Joy, Elyssa; Plath, Debbie; Webb, Stephen A.

2013-01-01

The article reports on the findings of a review of empirical studies examining the implementation of evidence-based practice (EBP) in the human services. Eleven studies were located that defined EBP as a research-informed, clinical decision-making process and identified barriers and facilitators to EBP implementation. A thematic analysis of the…

Time to Guideline-Based Empiric Antibiotic Therapy in the Treatment of Pneumonia in a Community Hospital: A Retrospective Review.

PubMed

Erwin, Beth L; Kyle, Jeffrey A; Allen, Leland N

2016-08-01

The 2005 American Thoracic Society/Infectious Diseases Society of America (ATS/IDSA) guidelines for hospital-acquired pneumonia (HAP), ventilator-associated pneumonia (VAP), and health care-associated pneumonia (HCAP) stress the importance of initiating prompt appropriate empiric antibiotic therapy. This study's purpose was to determine the percentage of patients with HAP, VAP, and HCAP who received guideline-based empiric antibiotic therapy and to determine the average time to receipt of an appropriate empiric regimen. A retrospective chart review of adults with HAP, VAP, or HCAP was conducted at a community hospital in suburban Birmingham, Alabama. The hospital's electronic medical record system utilized International Classification of Diseases, Ninth Revision (ICD-9) codes to identify patients diagnosed with pneumonia. The percentage of patients who received guideline-based empiric antibiotic therapy was calculated. The mean time from suspected diagnosis of pneumonia to initial administration of the final antibiotic within the empiric regimen was calculated for patients who received guideline-based therapy. Ninety-three patients met the inclusion criteria. The overall guideline adherence rate for empiric antibiotic therapy was 31.2%. The mean time to guideline-based therapy in hours:minutes was 7:47 for HAP and 28:16 for HCAP. For HAP and HCAP combined, the mean time to appropriate therapy was 21:55. Guideline adherence rates were lower and time to appropriate empiric therapy was greater for patients with HCAP compared to patients with HAP. © The Author(s) 2015.

Comparing Estimates of Multiple and Concurrent Partnerships Across Population Based Surveys: Implications for Combination HIV Prevention

PubMed Central

Morris, Martina; Leslie-Cook, Ayn; Akom, Eniko; Stephen, Aloo; Sherard, Donna

2014-01-01

We compare estimates of multiple and concurrent sexual partnerships from Demographic and Health Surveys (DHS) with comparable Population Services International (PSI) surveys in four African countries (Kenya, Lesotho, Uganda, Zambia). DHS data produce significantly lower estimates of all indicators for both sexes in all countries. PSI estimates of multiple partnerships are 1.7 times higher [1.4 for men (M), 3.0 for women (W)], cumulative prevalence of concurrency is 2.4 times higher (2.2 M, 2.7 W), the point prevalence of concurrency is 3.5 times higher (3.5 M, 3.3 W), and the fraction of multi-partnered persons who report concurrency last year is 1.4 times higher (1.6 M, 0.9 W). These findings provide strong empirical evidence that DHS surveys systematically underestimate levels of multiple and concurrent partnerships. The underestimates will contaminate both empirical analyses of the link between sexual behavior and HIV infection, and theoretical models for combination prevention that use these data for inputs. PMID:24077973

Comparing Estimates of Multiple and Concurrent Partnerships Across Population Based Surveys: Implications for Combination HIV Prevention.

PubMed

Morris, Martina; Vu, Lung; Leslie-Cook, Ayn; Akom, Eniko; Stephen, Aloo; Sherard, Donna

2014-04-01

We compare estimates of multiple and concurrent sexual partnerships from Demographic and Health Surveys (DHS) with comparable Population Services International (PSI) surveys in four African countries (Kenya, Lesotho, Uganda, Zambia). DHS data produce significantly lower estimates of all indicators for both sexes in all countries. PSI estimates of multiple partnerships are 1.7 times higher [1.4 for men (M), 3.0 for women (W)], cumulative prevalence of concurrency is 2.4 times higher (2.2 M, 2.7 W), the point prevalence of concurrency is 3.5 times higher (3.5 M, 3.3 W), and the fraction of multi-partnered persons who report concurrency last year is 1.4 times higher (1.6 M, 0.9 W). These findings provide strong empirical evidence that DHS surveys systematically underestimate levels of multiple and concurrent partnerships. The underestimates will contaminate both empirical analyses of the link between sexual behavior and HIV infection, and theoretical models for combination prevention that use these data for inputs.

Design-based and model-based inference in surveys of freshwater mollusks

USGS Publications Warehouse

Dorazio, R.M.

1999-01-01

Well-known concepts in statistical inference and sampling theory are used to develop recommendations for planning and analyzing the results of quantitative surveys of freshwater mollusks. Two methods of inference commonly used in survey sampling (design-based and model-based) are described and illustrated using examples relevant in surveys of freshwater mollusks. The particular objectives of a survey and the type of information observed in each unit of sampling can be used to help select the sampling design and the method of inference. For example, the mean density of a sparsely distributed population of mollusks can be estimated with higher precision by using model-based inference or by using design-based inference with adaptive cluster sampling than by using design-based inference with conventional sampling. More experience with quantitative surveys of natural assemblages of freshwater mollusks is needed to determine the actual benefits of different sampling designs and inferential procedures.

Factors influencing the utilization of empirically supported treatments for eating disorders.

PubMed

Simmons, Angela M; Milnes, Suzanne M; Anderson, Drew A

2008-01-01

This study expands upon previous research investigating the use of empirically supported treatments (ESTs) for eating disorders by surveying a large sample of clinicians who specialize in treating eating disorders. Surveys developed for this study were sent to 698 members of a large, professional, eating disorder organization who were listed as treatment providers on the organization's website. Despite clinicians reporting frequently using CBT techniques, most identified something other than CBT or IPT as their primary approach to treatment. In contrast with previous research, the majority had received prior training in the use of manual-based treatments. However, consistent with previous investigations, most denied regular use of such treatments. Although manual-based CBT and IPT are referred to as "treatments of choice," professional clinicians in the field are not consistently using them. Responses suggest several barriers to the utilization of ESTs in practice.

Ontology-Based Empirical Knowledge Verification for Professional Virtual Community

ERIC Educational Resources Information Center

Chen, Yuh-Jen

2011-01-01

A professional virtual community provides an interactive platform for enterprise experts to create and share their empirical knowledge cooperatively, and the platform contains a tremendous amount of hidden empirical knowledge that knowledge experts have preserved in the discussion process. Therefore, enterprise knowledge management highly…

Empirical analysis of web-based user-object bipartite networks

NASA Astrophysics Data System (ADS)

Shang, Ming-Sheng; Lü, Linyuan; Zhang, Yi-Cheng; Zhou, Tao

2010-05-01

Understanding the structure and evolution of web-based user-object networks is a significant task since they play a crucial role in e-commerce nowadays. This letter reports the empirical analysis on two large-scale web sites, audioscrobbler.com and del.icio.us, where users are connected with music groups and bookmarks, respectively. The degree distributions and degree-degree correlations for both users and objects are reported. We propose a new index, named collaborative similarity, to quantify the diversity of tastes based on the collaborative selection. Accordingly, the correlation between degree and selection diversity is investigated. We report some novel phenomena well characterizing the selection mechanism of web users and outline the relevance of these phenomena to the information recommendation problem.

Travel cost demand model based river recreation benefit estimates with on-site and household surveys: Comparative results and a correction procedure

NASA Astrophysics Data System (ADS)

Loomis, John

2003-04-01

Past recreation studies have noted that on-site or visitor intercept surveys are subject to over-sampling of avid users (i.e., endogenous stratification) and have offered econometric solutions to correct for this. However, past papers do not estimate the empirical magnitude of the bias in benefit estimates with a real data set, nor do they compare the corrected estimates to benefit estimates derived from a population sample. This paper empirically examines the magnitude of the recreation benefits per trip bias by comparing estimates from an on-site river visitor intercept survey to a household survey. The difference in average benefits is quite large, with the on-site visitor survey yielding 24 per day trip, while the household survey yields 9.67 per day trip. A simple econometric correction for endogenous stratification in our count data model lowers the benefit estimate to $9.60 per day trip, a mean value nearly identical and not statistically different from the household survey estimate.

On the need and use of models to explore the role of economic confidence:a survey.

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

Sprigg, James A.; Paez, Paul J.; Hand, Michael S.

2005-04-01

Empirical studies suggest that consumption is more sensitive to current income than suggested under the permanent income hypothesis, which raises questions regarding expectations for future income, risk aversion, and the role of economic confidence measures. This report surveys a body of fundamental economic literature as well as burgeoning computational modeling methods to support efforts to better anticipate cascading economic responses to terrorist threats and attacks. This is a three part survey to support the incorporation of models of economic confidence into agent-based microeconomic simulations. We first review broad underlying economic principles related to this topic. We then review the economicmore » principle of confidence and related empirical studies. Finally, we provide a brief survey of efforts and publications related to agent-based economic simulation.« less

Empirically based device modeling of bulk heterojunction organic photovoltaics

NASA Astrophysics Data System (ADS)

Pierre, Adrien; Lu, Shaofeng; Howard, Ian A.; Facchetti, Antonio; Arias, Ana Claudia

2013-10-01

An empirically based, open source, optoelectronic model is constructed to accurately simulate organic photovoltaic (OPV) devices. Bulk heterojunction OPV devices based on a new low band gap dithienothiophene- diketopyrrolopyrrole donor polymer (P(TBT-DPP)) are blended with PC70BM and processed under various conditions, with efficiencies up to 4.7%. The mobilities of electrons and holes, bimolecular recombination coefficients, exciton quenching efficiencies in donor and acceptor domains and optical constants of these devices are measured and input into the simulator to yield photocurrent with less than 7% error. The results from this model not only show carrier activity in the active layer but also elucidate new routes of device optimization by varying donor-acceptor composition as a function of position. Sets of high and low performance devices are investigated and compared side-by-side.

Image fusion method based on regional feature and improved bidimensional empirical mode decomposition

NASA Astrophysics Data System (ADS)

Qin, Xinqiang; Hu, Gang; Hu, Kai

2018-01-01

The decomposition of multiple source images using bidimensional empirical mode decomposition (BEMD) often produces mismatched bidimensional intrinsic mode functions, either by their number or their frequency, making image fusion difficult. A solution to this problem is proposed using a fixed number of iterations and a union operation in the sifting process. By combining the local regional features of the images, an image fusion method has been developed. First, the source images are decomposed using the proposed BEMD to produce the first intrinsic mode function (IMF) and residue component. Second, for the IMF component, a selection and weighted average strategy based on local area energy is used to obtain a high-frequency fusion component. Third, for the residue component, a selection and weighted average strategy based on local average gray difference is used to obtain a low-frequency fusion component. Finally, the fused image is obtained by applying the inverse BEMD transform. Experimental results show that the proposed algorithm provides superior performance over methods based on wavelet transform, line and column-based EMD, and complex empirical mode decomposition, both in terms of visual quality and objective evaluation criteria.

Changes in Transformational Leadership and Empirical Quality Outcomes in a Finnish Hospital over a Two-Year Period: A Longitudinal Study

PubMed Central

Mäntynen, Raija; Vehviläinen-Julkunen, Katri; Partanen, Pirjo; Turunen, Hannele; Miettinen, Merja; Kvist, Tarja

2014-01-01

This paper describes the changes in transformational leadership and quality outcomes that occurred between 2008 and 2011 in a Finnish university hospital that is aiming to meet the Magnet standards. Measurements were conducted in 2008-2009 and subsequently in 2010-2011 by surveying nursing staff and patients. Nursing staff were surveyed using web-based surveys to collect data on transformational leadership (n 1 = 499, n 2 = 498) and patient safety culture (n 1 = 234, n 2 = 512) and using both postal and web-based surveys to gather information on job satisfaction (n 1 = 1176, n 2 = 779). Questionnaires were used to collect data on care satisfaction from patients (n 1 = 678, n 2 = 867). Transformational leadership was measured using the 54-item TLS, job satisfaction with the 37-item KUHJSS, patient safety culture with the 42-item HSPSC, and patient satisfaction using the 42-item RHCS questionnaire. Transformational leadership, which was the weakest area, was at the same level between the two measurement occasions. Job satisfaction scores increased between 2008 and 2010, although they were generally excellent in 2008. The scores for nonpunitive responses to errors and events reported were also higher in the 2010-2011 surveys. The highest empirical outcome scores related to patient satisfaction. The project and the development initiatives undertaken since 2008 seem to have had positive effects on empirical quality outcomes. PMID:25009744

[Willingness to accept an Internet-based mobility platform in different age cohorts. Empiric results of the project S-Mobil 100].

PubMed

Beil, J; Cihlar, V; Kruse, A

2015-02-01

The aim of the project S-Mobil 100 is to develop and implement a prototype of an internet-based, generation-appropriate mobility platform in the model region Siegen-Wittgenstein. In the context of an empirical preliminary study, use of technology, experience with technology, general attitudes towards technology, general technology commitment, and the willingness to accept the mobility platform were investigated in different age cohorts. The investigation was carried out using a written survey based on a standardized questionnaire. The sample of 358 persons aged 40-90 years was divided in four age cohorts (40-54, 55-64, 65-74, and 75 + years). Our results show a high willingness to accept the mobility platform in the overall sample. Age, residence, income, and general technology commitment were significant predictors for the judgment of the platform. Although there were group differences in accepting the mobility platform, the older cohorts are also open-minded towards this new technology.

Introduction to the Application of Web-Based Surveys.

ERIC Educational Resources Information Center

Timmerman, Annemarie

This paper discusses some basic assumptions and issues concerning web-based surveys. Discussion includes: assumptions regarding cost and ease of use; disadvantages of web-based surveys, concerning the inability to compensate for four common errors of survey research: coverage error, sampling error, measurement error and nonresponse error; and…

Application of empirical and mechanistic-empirical pavement design procedures to Mn/ROAD concrete pavement test sections

DOT National Transportation Integrated Search

1997-05-01

Current pavement design procedures are based principally on empirical approaches. The current trend toward developing more mechanistic-empirical type pavement design methods led Minnesota to develop the Minnesota Road Research Project (Mn/ROAD), a lo...

Deriving Empirically-Based Design Guidelines for Advanced Learning Technologies that Foster Disciplinary Comprehension

ERIC Educational Resources Information Center

Poitras, Eric; Trevors, Gregory

2012-01-01

Planning, conducting, and reporting leading-edge research requires professionals who are capable of highly skilled reading. This study reports the development of an empirically informed computer-based learning environment designed to foster the acquisition of reading comprehension strategies that mediate expertise in the social sciences. Empirical…

Mechanistic-empirical Pavement Design Guide Implementation

DOT National Transportation Integrated Search

2010-06-01

The recently introduced Mechanistic-Empirical Pavement Design Guide (MEPDG) and associated computer software provides a state-of-practice mechanistic-empirical highway pavement design methodology. The MEPDG methodology is based on pavement responses ...

Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour

PubMed Central

Arnulf, Jan Ketil; Larsen, Kai Rune; Martinsen, Øyvind Lund; Bong, Chih How

2014-01-01

Some disciplines in the social sciences rely heavily on collecting survey responses to detect empirical relationships among variables. We explored whether these relationships were a priori predictable from the semantic properties of the survey items, using language processing algorithms which are now available as new research methods. Language processing algorithms were used to calculate the semantic similarity among all items in state-of-the-art surveys from Organisational Behaviour research. These surveys covered areas such as transformational leadership, work motivation and work outcomes. This information was used to explain and predict the response patterns from real subjects. Semantic algorithms explained 60–86% of the variance in the response patterns and allowed remarkably precise prediction of survey responses from humans, except in a personality test. Even the relationships between independent and their purported dependent variables were accurately predicted. This raises concern about the empirical nature of data collected through some surveys if results are already given a priori through the way subjects are being asked. Survey response patterns seem heavily determined by semantics. Language algorithms may suggest these prior to administering a survey. This study suggests that semantic algorithms are becoming new tools for the social sciences, opening perspectives on survey responses that prevalent psychometric theory cannot explain. PMID:25184672

Predicting survey responses: how and why semantics shape survey statistics on organizational behaviour.

PubMed

Arnulf, Jan Ketil; Larsen, Kai Rune; Martinsen, Øyvind Lund; Bong, Chih How

2014-01-01

Some disciplines in the social sciences rely heavily on collecting survey responses to detect empirical relationships among variables. We explored whether these relationships were a priori predictable from the semantic properties of the survey items, using language processing algorithms which are now available as new research methods. Language processing algorithms were used to calculate the semantic similarity among all items in state-of-the-art surveys from Organisational Behaviour research. These surveys covered areas such as transformational leadership, work motivation and work outcomes. This information was used to explain and predict the response patterns from real subjects. Semantic algorithms explained 60-86% of the variance in the response patterns and allowed remarkably precise prediction of survey responses from humans, except in a personality test. Even the relationships between independent and their purported dependent variables were accurately predicted. This raises concern about the empirical nature of data collected through some surveys if results are already given a priori through the way subjects are being asked. Survey response patterns seem heavily determined by semantics. Language algorithms may suggest these prior to administering a survey. This study suggests that semantic algorithms are becoming new tools for the social sciences, opening perspectives on survey responses that prevalent psychometric theory cannot explain.

Empirical research in medical ethics: how conceptual accounts on normative-empirical collaboration may improve research practice.

PubMed

Salloch, Sabine; Schildmann, Jan; Vollmann, Jochen

2012-04-13

The methodology of medical ethics during the last few decades has shifted from a predominant use of normative-philosophical analyses to an increasing involvement of empirical methods. The articles which have been published in the course of this so-called 'empirical turn' can be divided into conceptual accounts of empirical-normative collaboration and studies which use socio-empirical methods to investigate ethically relevant issues in concrete social contexts. A considered reference to normative research questions can be expected from good quality empirical research in medical ethics. However, a significant proportion of empirical studies currently published in medical ethics lacks such linkage between the empirical research and the normative analysis. In the first part of this paper, we will outline two typical shortcomings of empirical studies in medical ethics with regard to a link between normative questions and empirical data: (1) The complete lack of normative analysis, and (2) cryptonormativity and a missing account with regard to the relationship between 'is' and 'ought' statements. Subsequently, two selected concepts of empirical-normative collaboration will be presented and how these concepts may contribute to improve the linkage between normative and empirical aspects of empirical research in medical ethics will be demonstrated. Based on our analysis, as well as our own practical experience with empirical research in medical ethics, we conclude with a sketch of concrete suggestions for the conduct of empirical research in medical ethics. High quality empirical research in medical ethics is in need of a considered reference to normative analysis. In this paper, we demonstrate how conceptual approaches of empirical-normative collaboration can enhance empirical research in medical ethics with regard to the link between empirical research and normative analysis.

Estimating Casualties for Large Earthquakes Worldwide Using an Empirical Approach

USGS Publications Warehouse

Jaiswal, Kishor; Wald, David J.; Hearne, Mike

2009-01-01

We developed an empirical country- and region-specific earthquake vulnerability model to be used as a candidate for post-earthquake fatality estimation by the U.S. Geological Survey's Prompt Assessment of Global Earthquakes for Response (PAGER) system. The earthquake fatality rate is based on past fatal earthquakes (earthquakes causing one or more deaths) in individual countries where at least four fatal earthquakes occurred during the catalog period (since 1973). Because only a few dozen countries have experienced four or more fatal earthquakes since 1973, we propose a new global regionalization scheme based on idealization of countries that are expected to have similar susceptibility to future earthquake losses given the existing building stock, its vulnerability, and other socioeconomic characteristics. The fatality estimates obtained using an empirical country- or region-specific model will be used along with other selected engineering risk-based loss models for generation of automated earthquake alerts. These alerts could potentially benefit the rapid-earthquake-response agencies and governments for better response to reduce earthquake fatalities. Fatality estimates are also useful to stimulate earthquake preparedness planning and disaster mitigation. The proposed model has several advantages as compared with other candidate methods, and the country- or region-specific fatality rates can be readily updated when new data become available.

Questionnaire-based survey in a developing country showing noncompliance with paediatric gastro-oesophageal reflux practice guidelines.

PubMed

Manasfi, Hayat; Hanna-Wakim, Rima; Akel, Imad; Yazbeck, Nadine

2017-02-01

This 2015 study investigated whether Lebanese paediatricians diagnosed and managed gastro-oesophageal reflux disease (GERD) in infants and children in accordance with the 2009 guidelines from the North American and European Societies for Paediatric Gastroenterology, Hepatology and Nutrition. Paediatricians members of the Lebanese Order of Physicians with updated email addresses were invited to complete a web-based survey between September and November 2015, to assess their knowledge and management of GERD. Responses were received from 114 of the 543 paediatricians, and 96 were analysed. Only two respondents complied fully with the international guidelines. The majority diagnosed GERD in infants based solely on their medical history and examination. Moreover, nearly two-thirds of the respondents would start an empiric trial with acid suppression. Around half of the respondents considered proton pump inhibitors to be the mainstay of GERD treatment. This was the first Lebanese study that surveyed the management of paediatric GERD. Only 2.1% of the paediatricians followed the guidelines on the evidence-based management of GERD. This highlights the need for studies to assess barriers to guideline implementation and the development of new guidelines accounting for regional factors, mainly the cost of investigations and prevalence of medical insurance. ©2016 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

The Structure of Psychopathology: Toward an Expanded Quantitative Empirical Model

PubMed Central

Wright, Aidan G.C.; Krueger, Robert F.; Hobbs, Megan J.; Markon, Kristian E.; Eaton, Nicholas R.; Slade, Tim

2013-01-01

There has been substantial recent interest in the development of a quantitative, empirically based model of psychopathology. However, the majority of pertinent research has focused on analyses of diagnoses, as described in current official nosologies. This is a significant limitation because existing diagnostic categories are often heterogeneous. In the current research, we aimed to redress this limitation of the existing literature, and to directly compare the fit of categorical, continuous, and hybrid (i.e., combined categorical and continuous) models of syndromes derived from indicators more fine-grained than diagnoses. We analyzed data from a large representative epidemiologic sample (the 2007 Australian National Survey of Mental Health and Wellbeing; N = 8,841). Continuous models provided the best fit for each syndrome we observed (Distress, Obsessive Compulsivity, Fear, Alcohol Problems, Drug Problems, and Psychotic Experiences). In addition, the best fitting higher-order model of these syndromes grouped them into three broad spectra: Internalizing, Externalizing, and Psychotic Experiences. We discuss these results in terms of future efforts to refine emerging empirically based, dimensional-spectrum model of psychopathology, and to use the model to frame psychopathology research more broadly. PMID:23067258

Empirical likelihood-based confidence intervals for mean medical cost with censored data.

PubMed

Jeyarajah, Jenny; Qin, Gengsheng

2017-11-10

In this paper, we propose empirical likelihood methods based on influence function and jackknife techniques for constructing confidence intervals for mean medical cost with censored data. We conduct a simulation study to compare the coverage probabilities and interval lengths of our proposed confidence intervals with that of the existing normal approximation-based confidence intervals and bootstrap confidence intervals. The proposed methods have better finite-sample performances than existing methods. Finally, we illustrate our proposed methods with a relevant example. Copyright © 2017 John Wiley & Sons, Ltd.

Empirical research in medical ethics: How conceptual accounts on normative-empirical collaboration may improve research practice

PubMed Central

2012-01-01

Background The methodology of medical ethics during the last few decades has shifted from a predominant use of normative-philosophical analyses to an increasing involvement of empirical methods. The articles which have been published in the course of this so-called 'empirical turn' can be divided into conceptual accounts of empirical-normative collaboration and studies which use socio-empirical methods to investigate ethically relevant issues in concrete social contexts. Discussion A considered reference to normative research questions can be expected from good quality empirical research in medical ethics. However, a significant proportion of empirical studies currently published in medical ethics lacks such linkage between the empirical research and the normative analysis. In the first part of this paper, we will outline two typical shortcomings of empirical studies in medical ethics with regard to a link between normative questions and empirical data: (1) The complete lack of normative analysis, and (2) cryptonormativity and a missing account with regard to the relationship between 'is' and 'ought' statements. Subsequently, two selected concepts of empirical-normative collaboration will be presented and how these concepts may contribute to improve the linkage between normative and empirical aspects of empirical research in medical ethics will be demonstrated. Based on our analysis, as well as our own practical experience with empirical research in medical ethics, we conclude with a sketch of concrete suggestions for the conduct of empirical research in medical ethics. Summary High quality empirical research in medical ethics is in need of a considered reference to normative analysis. In this paper, we demonstrate how conceptual approaches of empirical-normative collaboration can enhance empirical research in medical ethics with regard to the link between empirical research and normative analysis. PMID:22500496

Empirical likelihood method for non-ignorable missing data problems.

PubMed

Guan, Zhong; Qin, Jing

2017-01-01

Missing response problem is ubiquitous in survey sampling, medical, social science and epidemiology studies. It is well known that non-ignorable missing is the most difficult missing data problem where the missing of a response depends on its own value. In statistical literature, unlike the ignorable missing data problem, not many papers on non-ignorable missing data are available except for the full parametric model based approach. In this paper we study a semiparametric model for non-ignorable missing data in which the missing probability is known up to some parameters, but the underlying distributions are not specified. By employing Owen (1988)'s empirical likelihood method we can obtain the constrained maximum empirical likelihood estimators of the parameters in the missing probability and the mean response which are shown to be asymptotically normal. Moreover the likelihood ratio statistic can be used to test whether the missing of the responses is non-ignorable or completely at random. The theoretical results are confirmed by a simulation study. As an illustration, the analysis of a real AIDS trial data shows that the missing of CD4 counts around two years are non-ignorable and the sample mean based on observed data only is biased.

Determinants of child mortality in LDCs: empirical findings from demographic and health surveys.

PubMed

Wang, Limin

2003-09-01

Empirical studies on child mortality at the disaggregated level-by social-economic group or geographic location-are more informative for designing health polices. Using Demographic and Health Survey data from over 60 low-income countries, this study (1) presents global patterns of the level and inequality in child mortality and (2) investigates the determinants of child mortality, both at the national level and separately for urban and rural areas. The global patterns of health outcomes reveal two interesting observations. First, as child mortality declines, the gap in mortality between the poor and the better-off widens. Second, while child mortality in rural areas is substantially higher than in urban areas, the reduction in child mortality is much slower in rural areas where the poor are concentrated. This suggests that health interventions implemented in the past decade may not have been as effective as intended in reaching the poor. The analysis on mortality determination shows that at the national level access to electricity, incomes, vaccination in the first year of birth, and public health expenditure significantly reduce child mortality. The electricity effect is large and independent of the income effect. While in urban areas, access to electricity is the only significant mortality determinant, in rural areas, vaccination in the first year of birth is the only significant factor.

Biomarker-based strategy for early discontinuation of empirical antifungal treatment in critically ill patients: a randomized controlled trial.

PubMed

Rouzé, Anahita; Loridant, Séverine; Poissy, Julien; Dervaux, Benoit; Sendid, Boualem; Cornu, Marjorie; Nseir, Saad

2017-11-01

The aim of this study was to determine the impact of a biomarker-based strategy on early discontinuation of empirical antifungal treatment. Prospective randomized controlled single-center unblinded study, performed in a mixed ICU. A total of 110 patients were randomly assigned to a strategy in which empirical antifungal treatment duration was determined by (1,3)-β-D-glucan, mannan, and anti-mannan serum assays, performed on day 0 and day 4; or to a routine care strategy, based on international guidelines, which recommend 14 days of treatment. In the biomarker group, early stop recommendation was determined using an algorithm based on the results of biomarkers. The primary outcome was the percentage of survivors discontinuing empirical antifungal treatment early, defined as a discontinuation strictly before day 7. A total of 109 patients were analyzed (one patient withdraw consent). Empirical antifungal treatment was discontinued early in 29 out of 54 patients in the biomarker strategy group, compared with one patient out of 55 in the routine strategy group [54% vs 2%, p < 0.001, OR (95% CI) 62.6 (8.1-486)]. Total duration of antifungal treatment was significantly shorter in the biomarker strategy compared with routine strategy [median (IQR) 6 (4-13) vs 13 (12-14) days, p < 0.0001). No significant difference was found in the percentage of patients with subsequent proven invasive Candida infection, mechanical ventilation-free days, length of ICU stay, cost, and ICU mortality between the two study groups. The use of a biomarker-based strategy increased the percentage of early discontinuation of empirical antifungal treatment among critically ill patients with suspected invasive Candida infection. These results confirm previous findings suggesting that early discontinuation of empirical antifungal treatment had no negative impact on outcome. However, further studies are needed to confirm the safety of this strategy. This trial was registered at Clinical

Impact of Inadequate Empirical Therapy on the Mortality of Patients with Bloodstream Infections: a Propensity Score-Based Analysis

PubMed Central

Retamar, Pilar; Portillo, María M.; López-Prieto, María Dolores; Rodríguez-López, Fernando; de Cueto, Marina; García, María V.; Gómez, María J.; del Arco, Alfonso; Muñoz, Angel; Sánchez-Porto, Antonio; Torres-Tortosa, Manuel; Martín-Aspas, Andrés; Arroyo, Ascensión; García-Figueras, Carolina; Acosta, Federico; Corzo, Juan E.; León-Ruiz, Laura; Escobar-Lara, Trinidad

2012-01-01

The impact of the adequacy of empirical therapy on outcome for patients with bloodstream infections (BSI) is key for determining whether adequate empirical coverage should be prioritized over other, more conservative approaches. Recent systematic reviews outlined the need for new studies in the field, using improved methodologies. We assessed the impact of inadequate empirical treatment on the mortality of patients with BSI in the present-day context, incorporating recent methodological recommendations. A prospective multicenter cohort including all BSI episodes in adult patients was performed in 15 hospitals in Andalucía, Spain, over a 2-month period in 2006 to 2007. The main outcome variables were 14- and 30-day mortality. Adjusted analyses were performed by multivariate analysis and propensity score-based matching. Eight hundred one episodes were included. Inadequate empirical therapy was administered in 199 (24.8%) episodes; mortality at days 14 and 30 was 18.55% and 22.6%, respectively. After controlling for age, Charlson index, Pitt score, neutropenia, source, etiology, and presentation with severe sepsis or shock, inadequate empirical treatment was associated with increased mortality at days 14 and 30 (odds ratios [ORs], 2.12 and 1.56; 95% confidence intervals [95% CI], 1.34 to 3.34 and 1.01 to 2.40, respectively). The adjusted ORs after a propensity score-based matched analysis were 3.03 and 1.70 (95% CI, 1.60 to 5.74 and 0.98 to 2.98, respectively). In conclusion, inadequate empirical therapy is independently associated with increased mortality in patients with BSI. Programs to improve the quality of empirical therapy in patients with suspicion of BSI and optimization of definitive therapy should be implemented. PMID:22005999

Predictive vs. Empiric Assessment of Schistosomiasis: Implications for Treatment Projections in Ghana

PubMed Central

Kabore, Achille; Biritwum, Nana-Kwadwo; Downs, Philip W.; Soares Magalhaes, Ricardo J.; Zhang, Yaobi; Ottesen, Eric A.

2013-01-01

Background Mapping the distribution of schistosomiasis is essential to determine where control programs should operate, but because it is impractical to assess infection prevalence in every potentially endemic community, model-based geostatistics (MBG) is increasingly being used to predict prevalence and determine intervention strategies. Methodology/Principal Findings To assess the accuracy of MBG predictions for Schistosoma haematobium infection in Ghana, school surveys were evaluated at 79 sites to yield empiric prevalence values that could be compared with values derived from recently published MBG predictions. Based on these findings schools were categorized according to WHO guidelines so that practical implications of any differences could be determined. Using the mean predicted values alone, 21 of the 25 empirically determined ‘high-risk’ schools requiring yearly praziquantel would have been undertreated and almost 20% of the remaining schools would have been treated despite empirically-determined absence of infection – translating into 28% of the children in the 79 schools being undertreated and 12% receiving treatment in the absence of any demonstrated need. Conclusions/Significance Using the current predictive map for Ghana as a spatial decision support tool by aggregating prevalence estimates to the district level was clearly not adequate for guiding the national program, but the alternative of assessing each school in potentially endemic areas of Ghana or elsewhere is not at all feasible; modelling must be a tool complementary to empiric assessments. Thus for practical usefulness, predictive risk mapping should not be thought of as a one-time exercise but must, as in the current study, be an iterative process that incorporates empiric testing and model refining to create updated versions that meet the needs of disease control operational managers. PMID:23505584

Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity.

PubMed

Oung, Qi Wei; Muthusamy, Hariharan; Basah, Shafriza Nisha; Lee, Hoileong; Vijean, Vikneswaran

2017-12-29

Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has affected a large part of the population till now. Several symptoms of PD include tremor, rigidity, slowness of movements and vocal impairments. In order to develop an effective diagnostic system, a number of algorithms were proposed mainly to distinguish healthy individuals from the ones with PD. However, most of the previous works were conducted based on a binary classification, with the early PD stage and the advanced ones being treated equally. Therefore, in this work, we propose a multiclass classification with three classes of PD severity level (mild, moderate, severe) and healthy control. The focus is to detect and classify PD using signals from wearable motion and audio sensors based on both empirical wavelet transform (EWT) and empirical wavelet packet transform (EWPT) respectively. The EWT/EWPT was applied to decompose both speech and motion data signals up to five levels. Next, several features are extracted after obtaining the instantaneous amplitudes and frequencies from the coefficients of the decomposed signals by applying the Hilbert transform. The performance of the algorithm was analysed using three classifiers - K-nearest neighbour (KNN), probabilistic neural network (PNN) and extreme learning machine (ELM). Experimental results demonstrated that our proposed approach had the ability to differentiate PD from non-PD subjects, including their severity level - with classification accuracies of more than 90% using EWT/EWPT-ELM based on signals from motion and audio sensors respectively. Additionally, classification accuracy of more than 95% was achieved when EWT/EWPT-ELM is applied to signals from integration of both signal's information.

Skill-Biased Technological Change. Evidence from a Firm-Level Survey.

ERIC Educational Resources Information Center

Siegel, Donald S.

A study addressed the effects of technological change using a new, rich source of firm-level data on technology usage and labor force composition. The empirical investigation is based on a survey of Long Island manufacturers' usage of computer-integrated manufacturing systems (CIMS) or advanced manufacturing technologies (AMTs). The study also…

Facts and values in psychotherapy-A critique of the empirical reduction of psychotherapy within evidence-based practice.

PubMed

Berg, Henrik; Slaattelid, Rasmus

2017-10-01

This paper addresses an implicit presupposition in research-supported psychological treatments and evidence-based practice in psychology. It argues that the notion of research-supported psychological treatments is based on a reductive conceptualisation of psychotherapy. Research-supported psychological treatments hinge upon an empirical reduction where psychotherapy schools become conceptualized as mere collections of empirical propositions. However, this paper argues that the different psychotherapy schools have distinct ethoses that are constituted by normative claims. Consequently, the evaluation of the different psychotherapy schools and the practice of psychotherapy should include the underlying normative claims of these ethoses. © 2017 John Wiley & Sons, Ltd.

Increasing Your Productivity with Web-Based Surveys

ERIC Educational Resources Information Center

Wissmann, Mary; Stone, Brittney; Schuster, Ellen

2012-01-01

Web-based survey tools such as Survey Monkey can be used in many ways to increase the efficiency and effectiveness of Extension professionals. This article describes how Survey Monkey has been used at the state and county levels to collect community and internal staff information for the purposes of program planning, administration, evaluation and…

Are smokers rational addicts? Empirical evidence from the Indonesian Family Life Survey

PubMed Central

2011-01-01

Background Indonesia is one of the largest consumers of tobacco in the world, however there has been little work done on the economics addiction of tobacco. This study provides an empirical test of a rational addiction (henceforth RA) hypothesis of cigarette demand in Indonesia. Methods Four estimators (OLS, 2SLS, GMM, and System-GMM) were explored to test the RA hypothesis. The author adopted several diagnostics tests to select the best estimator to overcome econometric problems faced in presence of the past and future cigarette consumption (suspected endogenous variables). A short-run and long-run price elasticities of cigarettes demand was then calculated. The model was applied to individuals pooled data derived from three-waves a panel of the Indonesian Family Life Survey spanning the period 1993-2000. Results The past cigarette consumption coefficients turned out to be a positive with a p-value < 1%, implying that cigarettes indeed an addictive goods. The rational addiction hypothesis was rejected in favour of myopic ones. The short-run cigarette price elasticity for male and female was estimated to be-0.38 and -0.57, respectively, and the long-run one was -0.4 and -3.85, respectively. Conclusions Health policymakers should redesign current public health campaign against cigarette smoking in the country. Given the demand for cigarettes to be more prices sensitive for the long run (and female) than the short run (and male), an increase in the price of cigarettes could lead to a significant fall in cigarette consumption in the long run rather than as a constant source of government revenue. PMID:21345229

Are smokers rational addicts? Empirical evidence from the Indonesian Family Life Survey.

PubMed

Hidayat, Budi; Thabrany, Hasbullah

2011-02-23

Indonesia is one of the largest consumers of tobacco in the world, however there has been little work done on the economics addiction of tobacco. This study provides an empirical test of a rational addiction (henceforth RA) hypothesis of cigarette demand in Indonesia. Four estimators (OLS, 2SLS, GMM, and System-GMM) were explored to test the RA hypothesis. The author adopted several diagnostics tests to select the best estimator to overcome econometric problems faced in presence of the past and future cigarette consumption (suspected endogenous variables). A short-run and long-run price elasticities of cigarettes demand was then calculated. The model was applied to individuals pooled data derived from three-waves a panel of the Indonesian Family Life Survey spanning the period 1993-2000. The past cigarette consumption coefficients turned out to be a positive with a p-value < 1%, implying that cigarettes indeed an addictive goods. The rational addiction hypothesis was rejected in favour of myopic ones. The short-run cigarette price elasticity for male and female was estimated to be-0.38 and -0.57, respectively, and the long-run one was -0.4 and -3.85, respectively. Health policymakers should redesign current public health campaign against cigarette smoking in the country. Given the demand for cigarettes to be more prices sensitive for the long run (and female) than the short run (and male), an increase in the price of cigarettes could lead to a significant fall in cigarette consumption in the long run rather than as a constant source of government revenue.

Scrutinizing a Survey-Based Measure of Science and Mathematics Teacher Knowledge: Relationship to Observations of Teaching Practice

NASA Astrophysics Data System (ADS)

Talbot, Robert M.

2017-12-01

There is a clear need for valid and reliable instrumentation that measures teacher knowledge. However, the process of investigating and making a case for instrument validity is not a simple undertaking; rather, it is a complex endeavor. This paper presents the empirical case of one aspect of such an instrument validation effort. The particular instrument under scrutiny was developed in order to determine the effect of a teacher education program on novice science and mathematics teachers' strategic knowledge (SK). The relationship between novice science and mathematics teachers' SK as measured by a survey and their SK as inferred from observations of practice using a widely used observation protocol is the subject of this paper. Moderate correlations between parts of the observation-based construct and the SK construct were observed. However, the main finding of this work is that the context in which the measurement is made (in situ observations vs. ex situ survey) is an essential factor in establishing the validity of the measurement itself.

Attachment-based family therapy for depressed and suicidal adolescents: theory, clinical model and empirical support.

PubMed

Ewing, E Stephanie Krauthamer; Diamond, Guy; Levy, Suzanne

2015-01-01

Attachment-Based Family Therapy (ABFT) is a manualized family-based intervention designed for working with depressed adolescents, including those at risk for suicide, and their families. It is an empirically informed and supported treatment. ABFT has its theoretical underpinnings in attachment theory and clinical roots in structural family therapy and emotion focused therapies. ABFT relies on a transactional model that aims to transform the quality of adolescent-parent attachment, as a means of providing the adolescent with a more secure relationship that can support them during challenging times generally, and the crises related to suicidal thinking and behavior, specifically. This article reviews: (1) the theoretical foundations of ABFT (attachment theory, models of emotional development); (2) the ABFT clinical model, including training and supervision factors; and (3) empirical support.

Generalized Constitutive-Based Theoretical and Empirical Models for Hot Working Behavior of Functionally Graded Steels

NASA Astrophysics Data System (ADS)

Vanini, Seyed Ali Sadough; Abolghasemzadeh, Mohammad; Assadi, Abbas

2013-07-01

Functionally graded steels with graded ferritic and austenitic regions including bainite and martensite intermediate layers produced by electroslag remelting have attracted much attention in recent years. In this article, an empirical model based on the Zener-Hollomon (Z-H) constitutive equation with generalized material constants is presented to investigate the effects of temperature and strain rate on the hot working behavior of functionally graded steels. Next, a theoretical model, generalized by strain compensation, is developed for the flow stress estimation of functionally graded steels under hot compression based on the phase mixture rule and boundary layer characteristics. The model is used for different strains and grading configurations. Specifically, the results for αβγMγ steels from empirical and theoretical models showed excellent agreement with those of experiments of other references within acceptable error.

Empirically Based Myths: Astrology, Biorhythms, and ATIs.

ERIC Educational Resources Information Center

Ragsdale, Ronald G.

1980-01-01

A myth may have an empirical basis through chance occurrence; perhaps Aptitude Treatment Interactions (ATIs) are in this category. While ATIs have great utility in describing, planning, and implementing instruction, few disordinal interactions have been found. Article suggests narrowing of ATI research with replications and estimates of effect…

The use of advanced web-based survey design in Delphi research.

PubMed

Helms, Christopher; Gardner, Anne; McInnes, Elizabeth

2017-12-01

A discussion of the application of metadata, paradata and embedded data in web-based survey research, using two completed Delphi surveys as examples. Metadata, paradata and embedded data use in web-based Delphi surveys has not been described in the literature. The rapid evolution and widespread use of online survey methods imply that paper-based Delphi methods will likely become obsolete. Commercially available web-based survey tools offer a convenient and affordable means of conducting Delphi research. Researchers and ethics committees may be unaware of the benefits and risks of using metadata in web-based surveys. Discussion paper. Two web-based, three-round Delphi surveys were conducted sequentially between August 2014 - January 2015 and April - May 2016. Their aims were to validate the Australian nurse practitioner metaspecialties and their respective clinical practice standards. Our discussion paper is supported by researcher experience and data obtained from conducting both web-based Delphi surveys. Researchers and ethics committees should consider the benefits and risks of metadata use in web-based survey methods. Web-based Delphi research using paradata and embedded data may introduce efficiencies that improve individual participant survey experiences and reduce attrition across iterations. Use of embedded data allows the efficient conduct of multiple simultaneous Delphi surveys across a shorter timeframe than traditional survey methods. The use of metadata, paradata and embedded data appears to improve response rates, identify bias and give possible explanation for apparent outlier responses, providing an efficient method of conducting web-based Delphi surveys. © 2017 John Wiley & Sons Ltd.

Development of an empirically based dynamic biomechanical strength model

NASA Technical Reports Server (NTRS)

Pandya, A.; Maida, J.; Aldridge, A.; Hasson, S.; Woolford, B.

1992-01-01

The focus here is on the development of a dynamic strength model for humans. Our model is based on empirical data. The shoulder, elbow, and wrist joints are characterized in terms of maximum isolated torque, position, and velocity in all rotational planes. This information is reduced by a least squares regression technique into a table of single variable second degree polynomial equations determining the torque as a function of position and velocity. The isolated joint torque equations are then used to compute forces resulting from a composite motion, which in this case is a ratchet wrench push and pull operation. What is presented here is a comparison of the computed or predicted results of the model with the actual measured values for the composite motion.

Impact of Company Size on Manufacturing Improvement Practices: An empirical study

NASA Astrophysics Data System (ADS)

Syan, C. S.; Ramoutar, K.

2014-07-01

There is a constant search for ways to achieve a competitive advantage through new manufacturing techniques. Best performing manufacturing companies tend to use world-class manufacturing (WCM) practices. Although the last few years have witnessed phenomenal growth in the use of WCM techniques, their effectiveness is not well understood specifically in the context of less developed countries. This paper presents an empirical study to investigate the impact of company size on improving manufacturing performance in manufacturing organizations based in Trinidad and Tobago (T&T). Empirical data were collected via a questionnaire survey which was send to 218 manufacturing firms in T&T. Five different company sizes and seven different industry sectors were studied. The analysis of survey data was performed with the aid of Statistical Package for Social Sciences (SPSS) software. The study signified facilitating and impeding factors towards improving manufacturing performance. Their relative impact/importance is dependent on varying company size and industry sectors. Findings indicate that T&T manufacturers are still practicing traditional approaches, when compared with world class manufacturers. In the majority of organizations, these practices were not 100% implemented even though they started the implementation process more than 5 years ago. The findings provided some insights in formulating more optimal operational strategies, and later develop action plans towards more effective implementation of WCM in T&T manufacturers.

Untangling the Evidence: Introducing an Empirical Model for Evidence-Based Library and Information Practice

ERIC Educational Resources Information Center

Gillespie, Ann

2014-01-01

Introduction: This research is the first to investigate the experiences of teacher-librarians as evidence-based practice. An empirically derived model is presented in this paper. Method: This qualitative study utilised the expanded critical incident approach, and investigated the real-life experiences of fifteen Australian teacher-librarians,…

Surveying ourselves: examining the use of a web-based approach for a physician survey.

PubMed

Matteson, Kristen A; Anderson, Britta L; Pinto, Stephanie B; Lopes, Vrishali; Schulkin, Jay; Clark, Melissa A

2011-12-01

A survey was distributed, using a sequential mixed-mode approach, to a national sample of obstetrician-gynecologists. Differences between responses to the web-based mode and the on-paper mode were compared to determine if there were systematic differences between respondents. Only two differences in respondents between the two modes were identified. University-based physicians were more likely to complete the web-based mode than private practice physicians. Mail respondents reported a greater volume of endometrial ablations compared to online respondents. The web-based mode had better data quality than the paper-based mailed mode in terms of less missing and inappropriate responses. Together, these findings suggest that, although a few differences were identified, the web-based survey mode attained adequate representativeness and improved data quality. Given the metrics examined for this study, exclusive use of web-based data collection may be appropriate for physician surveys with a minimal reduction in sample coverage and without a reduction in data quality.

N-Loop Learning: Part II--An Empirical Investigation

ERIC Educational Resources Information Center

Simonin, Bernard L.

2017-01-01

Purpose: Through a survey of firm's experiences with strategic alliances and a structural equation modeling approach, the aim of this study is to stimulate further interest in modeling and empirical research in the area of N-loop learning. Although the concepts of single-loop and double-loop learning, in particular, are well established in the…

A test-based strategy is more cost effective than empiric dose escalation for patients with Crohn's disease who lose responsiveness to infliximab.

PubMed

Velayos, Fernando S; Kahn, James G; Sandborn, William J; Feagan, Brian G

2013-06-01

Patients with Crohn's disease who become unresponsive to therapy with tumor necrosis factor antagonists are managed initially with either empiric dose escalation or testing-based strategies. The comparative cost effectiveness of these 2 strategies is unknown. We investigated whether a testing-based strategy is more cost effective than an empiric dose-escalation strategy. A decision analytic model that simulated 2 cohorts of patients with Crohn's disease compared outcomes for the 2 strategies over a 1-year time period. The incremental cost-effectiveness ratio of the empiric strategy was expressed as cost per quality-adjusted life-year (QALY) gained, compared with the testing-based strategy. We performed 1-way, probabilistic, and prespecified secondary analyses. The testing strategy yielded similar QALYs compared with the empiric strategy (0.801 vs 0.800, respectively) but was less expensive ($31,870 vs $37,266, respectively). In sensitivity analyses, the incremental cost-effectiveness ratio of the empiric strategy ranged from $500,000 to more than $5 million per QALY gained. Similar rates of remission (63% vs 66%) and response (28% vs 26%) were achieved through differential use of available interventions. The testing-based strategy resulted in a higher percentage of surgeries (48% vs 34%) and lower percentage use of high-dose biological therapy (41% vs 54%). A testing-based strategy is a cost-effective alternative to the current strategy of empiric dose escalation for managing patients with Crohn's disease who have lost responsiveness to infliximab. The basis for this difference is lower cost at similar outcomes. Copyright © 2013 AGA Institute. Published by Elsevier Inc. All rights reserved.

Web-Based Surveys Facilitate Undergraduate Research and Knowledge

ERIC Educational Resources Information Center

Grimes, Paul, Ed.; Steele, Scott R.

2008-01-01

The author presents Web-based surveying as a valuable tool for achieving quality undergraduate research in upper-level economics courses. Web-based surveys can be employed in efforts to integrate undergraduate research into the curriculum without overburdening students or faculty. The author discusses the value of undergraduate research, notes…

Feasibility of an Empirically Based Program for Parents of Preschoolers with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Dababnah, Sarah; Parish, Susan L.

2016-01-01

This article reports on the feasibility of implementing an existing empirically based program, "The Incredible Years," tailored to parents of young children with autism spectrum disorder. Parents raising preschool-aged children (aged 3-6?years) with autism spectrum disorder (N?=?17) participated in a 15-week pilot trial of the…

Empirical Determination of Effectiveness of a Competency Based Program in Distributive Education. Final Report.

ERIC Educational Resources Information Center

Charters, Margaret; And Others

The primary objective of the Syracuse project was to make an empirical determination of the effectiveness of a competency-based (CB) distributive education program by comparing student achievement in three of its major components with similar traditionally organized courses at Syracuse, Buffalo, and Baruch. The three components were retailing,…

Web-based surveys as an alternative to traditional mail methods.

PubMed

Fleming, Christopher M; Bowden, Mark

2009-01-01

Environmental economists have long used surveys to gather information about people's preferences. A recent innovation in survey methodology has been the advent of web-based surveys. While the Internet appears to offer a promising alternative to conventional survey administration modes, concerns exist over potential sampling biases associated with web-based surveys and the effect these may have on valuation estimates. This paper compares results obtained from a travel cost questionnaire of visitors to Fraser Island, Australia, that was conducted using two alternate survey administration modes; conventional mail and web-based. It is found that response rates and the socio-demographic make-up of respondents to the two survey modes are not statistically different. Moreover, both modes yield similar consumer surplus estimates.

Non-steroidal anti-inflammatory drug prescribing patterns in general practice: comparison of a general practitioner-based survey and a pharmacy-based survey in France.

PubMed

Clinard, F; Sgro, C; Bardou, M; Dumas, M; Hillon, P; Bonithon-Kopp, C

2001-01-01

In order to assess biases occurring in primary care prescription studies, we compared non-steroidal anti-inflammatory drug (NSAID) prescribing patterns reported by general practitioners directly (GP-based survey) and from a pharmacy-based survey of general practitioner prescribing (pharmacy-based survey). Volunteer GPs of the administrative area of Côte d'Or (France) returned a mailed questionnaire on NSAID prescribing patterns for consecutive patients seen during a 2-month period. In order to obtain a reference basis, pharmacies of the same administrative area provided all prescriptions that included NSAIDs during a 1-week period originating in general practice. The rate of participation was 25% for the GPs and 40% for the pharmacies. Participant GPs were representative of GPs of the area with regard to sex, year of graduation and practice area but pharmacies from rural areas were over-represented. The GP-based survey and the pharmacy-based survey provided respectively 770 and 1050 prescriptions. There were no differences between either survey in the type of NSAIDs prescribed and in the most frequently associated drugs. GPs who volunteered in the GP survey prescribed NSAIDs more frequently orally and at higher doses than GPs involved in the pharmacy-based survey. They also prescribed more gastroprotective drugs, especially in the elderly. None of these results could be explained by differences in patient characteristics and GP practice areas. GPs who actively participate in prescription surveys exhibit prescribing patterns that fit better with official recommendations than the average. Although selection biases cannot be ruled out, it is suggested that some changes in GP prescription habits may have been induced by the survey itself.

Empirical Likelihood in Nonignorable Covariate-Missing Data Problems.

PubMed

Xie, Yanmei; Zhang, Biao

2017-04-20

Missing covariate data occurs often in regression analysis, which frequently arises in the health and social sciences as well as in survey sampling. We study methods for the analysis of a nonignorable covariate-missing data problem in an assumed conditional mean function when some covariates are completely observed but other covariates are missing for some subjects. We adopt the semiparametric perspective of Bartlett et al. (Improving upon the efficiency of complete case analysis when covariates are MNAR. Biostatistics 2014;15:719-30) on regression analyses with nonignorable missing covariates, in which they have introduced the use of two working models, the working probability model of missingness and the working conditional score model. In this paper, we study an empirical likelihood approach to nonignorable covariate-missing data problems with the objective of effectively utilizing the two working models in the analysis of covariate-missing data. We propose a unified approach to constructing a system of unbiased estimating equations, where there are more equations than unknown parameters of interest. One useful feature of these unbiased estimating equations is that they naturally incorporate the incomplete data into the data analysis, making it possible to seek efficient estimation of the parameter of interest even when the working regression function is not specified to be the optimal regression function. We apply the general methodology of empirical likelihood to optimally combine these unbiased estimating equations. We propose three maximum empirical likelihood estimators of the underlying regression parameters and compare their efficiencies with other existing competitors. We present a simulation study to compare the finite-sample performance of various methods with respect to bias, efficiency, and robustness to model misspecification. The proposed empirical likelihood method is also illustrated by an analysis of a data set from the US National Health and

Is Project Based Learning More Effective than Direct Instruction in School Science Classrooms? An Analysis of the Empirical Research Evidence

NASA Astrophysics Data System (ADS)

Dann, Clifford

An increasingly loud call by parents, school administrators, teachers, and even business leaders for "authentic learning", emphasizing both group-work and problem solving, has led to growing enthusiasm for inquiry-based learning over the past decade. Although "inquiry" can be defined in many ways, a curriculum called "project-based learning" has recently emerged as the inquiry practice-of-choice with roots in the educational constructivism that emerged in the mid-twentieth century. Often, project-based learning is framed as an alternative instructional strategy to direct instruction for maximizing student content knowledge. This study investigates the empirical evidence for such a comparison while also evaluating the overall quality of the available studies in the light of accepted standards for educational research. Specifically, this thesis investigates what the body of quantitative research says about the efficacy of project-based learning vs. direct instruction when considering student acquisition of content knowledge in science classrooms. Further, existing limitations of the research pertaining to project based learning and secondary school education are explored. The thesis concludes with a discussion of where and how we should focus our empirical efforts in the future. The research revealed that the available empirical research contains flaws in both design and instrumentation. In particular, randomization is poor amongst all the studies considered. The empirical evidence indicates that project-based learning curricula improved student content knowledge but that, while the results were statistically significant, increases in raw test scores were marginal.

Methodology of the National School-based Health Survey in Malaysia, 2012.

PubMed

Yusoff, Fadhli; Saari, Riyanti; Naidu, Balkish M; Ahmad, Noor Ani; Omar, Azahadi; Aris, Tahir

2014-09-01

The National School-Based Health Survey 2012 was a nationwide school health survey of students in Standard 4 to Form 5 (10-17 years of age), who were schooling in government schools in Malaysia during the period of data collection. The survey comprised 3 subsurveys: the Global School Health Survey (GSHS), the Mental Health Survey, and the National School-Based Nutrition Survey. The aim of the survey was to provide data on the health status of adolescents in Malaysia toward strengthening the adolescent health program in the country. The design of the survey was created to fulfill the requirements of the 3 subsurveys. A 2-stage stratified sampling method was adopted in the sampling. The methods for data collection were via questionnaire and physical examination. The National School-Based Health Survey 2012 adopted an appropriate methodology for a school-based survey to ensure valid and reliable findings. © 2014 APJPH.

An empirical survey of the benefits of implementing pay for safety scheme (PFSS) in the Hong Kong construction industry.

PubMed

Chan, Daniel W M; Chan, Albert P C; Choi, Tracy N Y

2010-10-01

The Government of the Hong Kong Special Administrative Region (SAR) has implemented different safety initiatives to improve the safety performance of the construction industry over the past decades. The Pay for Safety Scheme (PFSS), which is one of the effective safety measures launched by the government in 1996, has been widely adopted in the public works contracts. Both the accident rate and fatality rate of public sector projects have decreased noticeably over this period. This paper aims to review the current state of application of PFSS in Hong Kong, and attempts to identify and analyze the perceived benefits of PFSS in construction via an industry-wide empirical questionnaire survey. A total of 145 project participants who have gained abundant hands-on experience with the PFSS construction projects were requested to complete a survey questionnaire to indicate the relative importance of those benefits identified in relation to PFSS. The perceived benefits were measured and ranked from the perspectives of the client and contractor for crosscomparison. The survey findings suggested the most significant benefits derived from adopting PFSS were: (a) Increased safety training; (b) Enhanced safety awareness; (c) Encouragement of developing safety management system; and (d) Improved safety commitment. A wider application of PFSS should be advocated so as to achieve better safety performance within the construction industry. It is recommended that a similar scheme to the PFSS currently adopted in Hong Kong may be developed for implementation in other regions or countries for international comparisons. Copyright © 2010 Elsevier Ltd and National Safety Council. All rights reserved.

How "Does" the Comforting Process Work? An Empirical Test of an Appraisal-Based Model of Comforting

ERIC Educational Resources Information Center

Jones, Susanne M.; Wirtz, John G.

2006-01-01

Burleson and Goldsmith's (1998) comforting model suggests an appraisal-based mechanism through which comforting messages can bring about a positive change in emotional states. This study is a first empirical test of three causal linkages implied by the appraisal-based comforting model. Participants (N=258) talked about an upsetting event with a…

Assessing formal teaching of ethics in physiology: an empirical survey, patterns, and recommendations.

PubMed

Goswami, Nandu; Batzel, Jerry Joseph; Hinghofer-Szalkay, Helmut

2012-09-01

Ethics should be an important component of physiological education. In this report, we examined to what extent teaching of ethics is formally being incorporated into the physiology curriculum. We carried out an e-mail survey in which we asked the e-mail recipients whether their institution offered a course or lecture on ethics as part of the physiology teaching process at their institution, using the following query: "We are now doing an online survey in which we would like to know whether you offer a course or a lecture on ethics as part of your physiology teaching curriculum." The response rate was 53.3%: we received 104 responses of a total of 195 sent out. Our responses came from 45 countries. While all of our responders confirmed that there was a need for ethics during medical education and scientific training, the degree of inclusion of formal ethics in the physiology curriculum varied widely. Our survey showed that, in most cases (69%), including at our Medical University of Graz, ethics in physiology is not incorporated into the physiology curriculum. Given this result, we suggest specific topics related to ethics and ethical considerations that could be integrated into the physiology curriculum. We present here a template example of a lecture "Teaching Ethics in Physiology" (structure, content, examples, and references), which was based on guidelines and case reports provided by experts in this area (e.g., Benos DJ. Ethics revisited. Adv Physiol Educ 25: 189-190, 2001). This lecture, which we are presently using in Graz, could be used as a base that could lead to greater awareness of important ethical issues in students at an early point in the educational process.

Dynamics of bloggers’ communities: Bipartite networks from empirical data and agent-based modeling

NASA Astrophysics Data System (ADS)

Mitrović, Marija; Tadić, Bosiljka

2012-11-01

We present an analysis of the empirical data and the agent-based modeling of the emotional behavior of users on the Web portals where the user interaction is mediated by posted comments, like Blogs and Diggs. We consider the dataset of discussion-driven popular Diggs, in which all comments are screened by machine-learning emotion detection in the text, to determine positive and negative valence (attractiveness and aversiveness) of each comment. By mapping the data onto a suitable bipartite network, we perform an analysis of the network topology and the related time-series of the emotional comments. The agent-based model is then introduced to simulate the dynamics and to capture the emergence of the emotional behaviors and communities. The agents are linked to posts on a bipartite network, whose structure evolves through their actions on the posts. The emotional states (arousal and valence) of each agent fluctuate in time, subject to the current contents of the posts to which the agent is exposed. By an agent’s action on a post its current emotions are transferred to the post. The model rules and the key parameters are inferred from the considered empirical data to ensure their realistic values and mutual consistency. The model assumes that the emotional arousal over posts drives the agent’s action. The simulations are preformed for the case of constant flux of agents and the results are analyzed in full analogy with the empirical data. The main conclusions are that the emotion-driven dynamics leads to long-range temporal correlations and emergent networks with community structure, that are comparable with the ones in the empirical system of popular posts. In view of pure emotion-driven agents actions, this type of comparisons provide a quantitative measure for the role of emotions in the dynamics on real blogs. Furthermore, the model reveals the underlying mechanisms which relate the post popularity with the emotion dynamics and the prevalence of negative

Developing an Internet-based Survey to Collect Program Cost Data

ERIC Educational Resources Information Center

Caffray, Christine M.; Chatterji, Pinka

2009-01-01

This manuscript describes the development and testing of an Internet-based cost survey that was designed by the authors for the National Assembly on School-Based Health Care (NASBHC) to capture the costs of school-based health programs. The intent of the survey was twofold. First, the survey was designed to collect comprehensive data on costs in a…

Market-Based Multirobot Coordination: A Survey and Analysis

DTIC Science & Technology

2005-04-01

observe new information about their surroundings. Market -based approaches can often seamlessly incorporate online tasks by auctioning new tasks as they... Market -Based Multirobot Coordination: A Survey and Analysis M. Bernardine Dias, Robert Zlot, Nidhi Kalra, and Anthony Stentz CMU-RI-TR-05-13 April...00-00-2005 to 00-00-2005 4. TITLE AND SUBTITLE Market -Based Multirobot Coordination: A Survey and Analysis 5a. CONTRACT NUMBER 5b. GRANT NUMBER

Social-Emotional Well-Being and Resilience of Children in Early Childhood Settings--PERIK: An Empirically Based Observation Scale for Practitioners

ERIC Educational Resources Information Center

Mayr, Toni; Ulich, Michaela

2009-01-01

Compared with the traditional focus on developmental problems, research on positive development is relatively new. Empirical research in children's well-being has been scarce. The aim of this study was to develop a theoretically and empirically based instrument for practitioners to observe and assess preschool children's well-being in early…

Increasing response rates to lifestyle surveys: a pragmatic evidence review.

PubMed

McCluskey, S; Topping, A E

2011-03-01

Lifestyle surveys are often a key component of a local Joint Strategic Needs Assessment (JSNA), undertaken to inform public health planning. They are usually administered to a large number of people in order to provide a comprehensive profile of population health. However, declining response rates coupled with the under-representation of certain population groups in lifestyle survey data has led to doubts concerning the reliability of findings. In order to inform the design of their own lifestyle survey, NHS Calderdale commissioned an evidence-based review of the methodological literature relating to the administration of lifestyle surveys, with the specific aim of identifying practical and resource-efficient strategies shown to be effective for maximizing whole-population response rates. A pragmatic review of the published literature was undertaken, specifically to explore the most practical and resource-efficient ways to maximize lifestyle survey response rates to the most commonly used methods (postal surveys, face-to-face interviews, telephone interviews and electronic surveys). Electronic databases including MEDLINE, CINAHL, DARE, EMBASE and PsychINFO were searched. Empirical evidence published in the last 10 years was identified and citation tracking performed on all retrieved articles. An internet search for 'grey literature' was also conducted. The postal questionnaire remains an important lifestyle survey tool, but reported response rates have decreased rapidly in recent years. Interviews and telephone surveys are recommended in order to supplement data from postal questionnaires and increase response rates in some population groups, but costs may be prohibitive. Electronic surveys are a cheaper alternative, but the empirical evidence on effectiveness is inconclusive. Careful planning and tailoring of survey design to the characteristics of target populations can increase response rates and representativeness of lifestyle survey data. The results of this

Public Release of Estimated Impact-Based Earthquake Alerts - An Update to the U.S. Geological Survey PAGER System

NASA Astrophysics Data System (ADS)

Wald, D. J.; Jaiswal, K. S.; Marano, K.; Hearne, M.; Earle, P. S.; So, E.; Garcia, D.; Hayes, G. P.; Mathias, S.; Applegate, D.; Bausch, D.

2010-12-01

The U.S. Geological Survey (USGS) has begun publicly releasing earthquake alerts for significant earthquakes around the globe based on estimates of potential casualties and economic losses. These estimates should significantly enhance the utility of the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system that has been providing estimated ShakeMaps and computing population exposures to specific shaking intensities since 2007. Quantifying earthquake impacts and communicating loss estimates (and their uncertainties) to the public has been the culmination of several important new and evolving components of the system. First, the operational PAGER system now relies on empirically-based loss models that account for estimated shaking hazard, population exposure, and employ country-specific fatality and economic loss functions derived using analyses of losses due to recent and past earthquakes. In some countries, our empirical loss models are informed in part by PAGER’s semi-empirical and analytical loss models, and building exposure and vulnerability data sets, all of which are being developed in parallel to the empirical approach. Second, human and economic loss information is now portrayed as a supplement to existing intensity/exposure content on both PAGER summary alert (available via cell phone/email) messages and web pages. Loss calculations also include estimates of the economic impact with respect to the country’s gross domestic product. Third, in order to facilitate rapid and appropriate earthquake responses based on our probable loss estimates, in early 2010 we proposed a four-level Earthquake Impact Scale (EIS). Instead of simply issuing median estimates for losses—which can be easily misunderstood and misused—this scale provides ranges of losses from which potential responders can gauge expected overall impact from strong shaking. EIS is based on two complementary criteria: the estimated cost of damage, which is most suitable for U

Outcome (competency) based education: an exploration of its origins, theoretical basis, and empirical evidence.

PubMed

Morcke, Anne Mette; Dornan, Tim; Eika, Berit

2013-10-01

Outcome based or competency based education (OBE) is so firmly established in undergraduate medical education that it might not seem necessary to ask why it was included in recommendations for the future, like the Flexner centenary report. Uncritical acceptance may not, however, deliver its greatest benefits. Our aim was to explore the underpinnings of OBE: its historical origins, theoretical basis, and empirical evidence of its effects in order to answer the question: How can predetermined learning outcomes influence undergraduate medical education? This literature review had three components: A review of historical landmarks in the evolution of OBE; a review of conceptual frameworks and theories; and a systematic review of empirical publications from 1999 to 2010 that reported data concerning the effects of learning outcomes on undergraduate medical education. OBE had its origins in behaviourist theories of learning. It is tightly linked to the assessment and regulation of proficiency, but less clearly linked to teaching and learning activities. Over time, there have been cycles of advocacy for, then criticism of, OBE. A recurring critique concerns the place of complex personal and professional attributes as "competencies". OBE has been adopted by consensus in the face of weak empirical evidence. OBE, which has been advocated for over 50 years, can contribute usefully to defining requisite knowledge and skills, and blueprinting assessments. Its applicability to more complex aspects of clinical performance is not clear. OBE, we conclude, provides a valuable approach to some, but not all, important aspects of undergraduate medical education.

An empirically-based model for the lift coefficients of twisted airfoils with leading-edge tubercles

NASA Astrophysics Data System (ADS)

Ni, Zao; Su, Tsung-chow; Dhanak, Manhar

2018-04-01

Experimental data for untwisted airfoils are utilized to propose a model for predicting the lift coefficients of twisted airfoils with leading-edge tubercles. The effectiveness of the empirical model is verified through comparison with results of a corresponding computational fluid-dynamic (CFD) study. The CFD study is carried out for both twisted and untwisted airfoils with tubercles, the latter shown to compare well with available experimental data. Lift coefficients of twisted airfoils predicted from the proposed empirically-based model match well with the corresponding coefficients determined using the verified CFD study. Flow details obtained from the latter provide better insight into the underlying mechanism and behavior at stall of twisted airfoils with leading edge tubercles.

Development of an Empirically Based Questionnaire to Investigate Young Students' Ideas about Nature of Science

ERIC Educational Resources Information Center

Chen, Sufen; Chang, Wen-Hua; Lieu, Sang-Chong; Kao, Huey-Lien; Huang, Mao-Tsai; Lin, Shu-Fen

2013-01-01

This study developed an empirically based questionnaire to monitor young learners' conceptions of nature of science (NOS). The questionnaire, entitled Students' Ideas about Nature of Science (SINOS), measured views on theory-ladenness, use of creativity and imagination, tentativeness of scientific knowledge, durability of scientific knowledge,…

How much does participatory flood management contribute to stakeholders' social capacity building? Empirical findings based on a triangulation of three evaluation approaches

NASA Astrophysics Data System (ADS)

Buchecker, M.; Menzel, S.; Home, R.

2013-06-01

Recent literature suggests that dialogic forms of risk communication are more effective to build stakeholders' hazard-related social capacities. In spite of the high theoretical expectations, there is a lack of univocal empirical evidence on the relevance of these effects. This is mainly due to the methodological limitations of the existing evaluation approaches. In our paper we aim at eliciting the contribution of participatory river revitalisation projects on stakeholders' social capacity building by triangulating the findings of three evaluation studies that were based on different approaches: a field-experimental, a qualitative long-term ex-post and a cross-sectional household survey approach. The results revealed that social learning and avoiding the loss of trust were more relevant benefits of participatory flood management than acceptance building. The results suggest that stakeholder involvements should be more explicitly designed as tools for long-term social learning.

Metadata in the Wild: An Empirical Survey of OPeNDAP-accessible Metadata and its Implications for Discovery

NASA Astrophysics Data System (ADS)

Hardy, D.; Janée, G.; Gallagher, J.; Frew, J.; Cornillon, P.

2006-12-01

The OPeNDAP Data Access Protocol (DAP) is a community standard for sharing scientific data across the Internet. Data providers using DAP have adopted a variety of metadata conventions to improve data utility, such as COARDS (1995) and CF (2003). Our results show, however, that metadata do not follow these conventions in practice. We collected metadata from over a hundred DAP servers, tens of thousands of data objects, and hundreds of collections. We found that a minority claim to adhere to a metadata convention, and a small percentage accurately adhere to their stated convention. We present descriptive statistics of our survey and highlight common traits such as well-populated attributes. Our empirical results indicate that unified search services cannot rely solely on metadata conventions. Although we encourage all providers to adopt a small subset of the CF convention for discovery purposes, we have no evidence to suggest that improved conventions would simplify the fundamental problem of heterogeneity. Large-scale discovery services must find methods for integrating incompatible metadata.

The Role of Empirical Research in Bioethics

PubMed Central

Kon, Alexander A.

2010-01-01

There has long been tension between bioethicists whose work focuses on classical philosophical inquiry and those who perform empirical studies on bioethical issues. While many have argued that empirical research merely illuminates current practices and cannot inform normative ethics, others assert that research-based work has significant implications for refining our ethical norms. In this essay, I present a novel construct for classifying empirical research in bioethics into four hierarchical categories: Lay of the Land, Ideal Versus Reality, Improving Care, and Changing Ethical Norms. Through explaining these four categories and providing examples of publications in each stratum, I define how empirical research informs normative ethics. I conclude by demonstrating how philosophical inquiry and empirical research can work cooperatively to further normative ethics. PMID:19998120

The role of empirical research in bioethics.

PubMed

Kon, Alexander A

2009-01-01

There has long been tension between bioethicists whose work focuses on classical philosophical inquiry and those who perform empirical studies on bioethical issues. While many have argued that empirical research merely illuminates current practices and cannot inform normative ethics, others assert that research-based work has significant implications for refining our ethical norms. In this essay, I present a novel construct for classifying empirical research in bioethics into four hierarchical categories: Lay of the Land, Ideal Versus Reality, Improving Care, and Changing Ethical Norms. Through explaining these four categories and providing examples of publications in each stratum, I define how empirical research informs normative ethics. I conclude by demonstrating how philosophical inquiry and empirical research can work cooperatively to further normative ethics.

Empirical evidence for site coefficients in building code provisions

USGS Publications Warehouse

Borcherdt, R.D.

2002-01-01

Site-response coefficients, Fa and Fv, used in U.S. building code provisions are based on empirical data for motions up to 0.1 g. For larger motions they are based on theoretical and laboratory results. The Northridge earthquake of 17 January 1994 provided a significant new set of empirical data up to 0.5 g. These data together with recent site characterizations based on shear-wave velocity measurements provide empirical estimates of the site coefficients at base accelerations up to 0.5 g for Site Classes C and D. These empirical estimates of Fa and Fnu; as well as their decrease with increasing base acceleration level are consistent at the 95 percent confidence level with those in present building code provisions, with the exception of estimates for Fa at levels of 0.1 and 0.2 g, which are less than the lower confidence bound by amounts up to 13 percent. The site-coefficient estimates are consistent at the 95 percent confidence level with those of several other investigators for base accelerations greater than 0.3 g. These consistencies and present code procedures indicate that changes in the site coefficients are not warranted. Empirical results for base accelerations greater than 0.2 g confirm the need for both a short- and a mid- or long-period site coefficient to characterize site response for purposes of estimating site-specific design spectra.

Multi-scale pixel-based image fusion using multivariate empirical mode decomposition.

PubMed

Rehman, Naveed ur; Ehsan, Shoaib; Abdullah, Syed Muhammad Umer; Akhtar, Muhammad Jehanzaib; Mandic, Danilo P; McDonald-Maier, Klaus D

2015-05-08

A novel scheme to perform the fusion of multiple images using the multivariate empirical mode decomposition (MEMD) algorithm is proposed. Standard multi-scale fusion techniques make a priori assumptions regarding input data, whereas standard univariate empirical mode decomposition (EMD)-based fusion techniques suffer from inherent mode mixing and mode misalignment issues, characterized respectively by either a single intrinsic mode function (IMF) containing multiple scales or the same indexed IMFs corresponding to multiple input images carrying different frequency information. We show that MEMD overcomes these problems by being fully data adaptive and by aligning common frequency scales from multiple channels, thus enabling their comparison at a pixel level and subsequent fusion at multiple data scales. We then demonstrate the potential of the proposed scheme on a large dataset of real-world multi-exposure and multi-focus images and compare the results against those obtained from standard fusion algorithms, including the principal component analysis (PCA), discrete wavelet transform (DWT) and non-subsampled contourlet transform (NCT). A variety of image fusion quality measures are employed for the objective evaluation of the proposed method. We also report the results of a hypothesis testing approach on our large image dataset to identify statistically-significant performance differences.

Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

PubMed Central

Rehman, Naveed ur; Ehsan, Shoaib; Abdullah, Syed Muhammad Umer; Akhtar, Muhammad Jehanzaib; Mandic, Danilo P.; McDonald-Maier, Klaus D.

2015-01-01

A novel scheme to perform the fusion of multiple images using the multivariate empirical mode decomposition (MEMD) algorithm is proposed. Standard multi-scale fusion techniques make a priori assumptions regarding input data, whereas standard univariate empirical mode decomposition (EMD)-based fusion techniques suffer from inherent mode mixing and mode misalignment issues, characterized respectively by either a single intrinsic mode function (IMF) containing multiple scales or the same indexed IMFs corresponding to multiple input images carrying different frequency information. We show that MEMD overcomes these problems by being fully data adaptive and by aligning common frequency scales from multiple channels, thus enabling their comparison at a pixel level and subsequent fusion at multiple data scales. We then demonstrate the potential of the proposed scheme on a large dataset of real-world multi-exposure and multi-focus images and compare the results against those obtained from standard fusion algorithms, including the principal component analysis (PCA), discrete wavelet transform (DWT) and non-subsampled contourlet transform (NCT). A variety of image fusion quality measures are employed for the objective evaluation of the proposed method. We also report the results of a hypothesis testing approach on our large image dataset to identify statistically-significant performance differences. PMID:26007714

An empirical evaluation of the structure of DSM-IV personality disorders in a nationally representative sample: results of confirmatory factor analysis in the National Epidemiologic Survey on Alcohol and Related Conditions Waves 1 and 2.

PubMed

Cox, Brian J; Clara, Ian P; Worobec, Lydia M; Grant, Bridget F

2012-12-01

Individual personality disorders (PD) are grouped into three clusters in the DSM-IV (A, B, and C). There is very little empirical evidence available concerning the validity of this model in the general population. The current study included all 10 of the DSM-IV PD assessed in Wave 1 and Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Confirmatory factor analysis was used to evaluate three plausible models of the structure of Axis II personality disorders (the current hierarchical DSM-IV three-factor model in which individual PD are believed to load on their assigned clusters, which in turn load onto a single Axis II factor; a general single-factor model; and three independent factors). Each of these models was tested in both the total and also separately for gender. The higher order DSM-IV model demonstrated good fit to the data on a number of goodness-of-fit indices. The results for this model were very similar across genders. A model of PD based on the current DSM-IV hierarchical conceptualization of a higher order classification scheme received strong empirical support through confirmatory factor analysis using a number of goodness-of-fit indices in a nationally representative sample. Other models involving broad, higher order personality domains such as neuroticism in relation to personality disorders have yet to be tested in epidemiologic surveys and represent an important avenue for future research.

Density-based empirical likelihood procedures for testing symmetry of data distributions and K-sample comparisons.

PubMed

Vexler, Albert; Tanajian, Hovig; Hutson, Alan D

In practice, parametric likelihood-ratio techniques are powerful statistical tools. In this article, we propose and examine novel and simple distribution-free test statistics that efficiently approximate parametric likelihood ratios to analyze and compare distributions of K groups of observations. Using the density-based empirical likelihood methodology, we develop a Stata package that applies to a test for symmetry of data distributions and compares K -sample distributions. Recognizing that recent statistical software packages do not sufficiently address K -sample nonparametric comparisons of data distributions, we propose a new Stata command, vxdbel, to execute exact density-based empirical likelihood-ratio tests using K samples. To calculate p -values of the proposed tests, we use the following methods: 1) a classical technique based on Monte Carlo p -value evaluations; 2) an interpolation technique based on tabulated critical values; and 3) a new hybrid technique that combines methods 1 and 2. The third, cutting-edge method is shown to be very efficient in the context of exact-test p -value computations. This Bayesian-type method considers tabulated critical values as prior information and Monte Carlo generations of test statistic values as data used to depict the likelihood function. In this case, a nonparametric Bayesian method is proposed to compute critical values of exact tests.

Empirical Taxonomies of Gameplay Enjoyment: Personality and Video Game Preference

ERIC Educational Resources Information Center

Quick, John M.; Atkinson, Robert K.; Lin, Lijia

2012-01-01

A survey study was conducted to better understand how gameplay enjoyment relates to players' personality traits and video game preferences. This study demonstrated that the core design elements of games that lead to enjoyment can be empirically identified. Similarly, it showed that considering personality, an individual characteristic, can produce…

Holding-based network of nations based on listed energy companies: An empirical study on two-mode affiliation network of two sets of actors

NASA Astrophysics Data System (ADS)

Li, Huajiao; Fang, Wei; An, Haizhong; Gao, Xiangyun; Yan, Lili

2016-05-01

Economic networks in the real world are not homogeneous; therefore, it is important to study economic networks with heterogeneous nodes and edges to simulate a real network more precisely. In this paper, we present an empirical study of the one-mode derivative holding-based network constructed by the two-mode affiliation network of two sets of actors using the data of worldwide listed energy companies and their shareholders. First, we identify the primitive relationship in the two-mode affiliation network of the two sets of actors. Then, we present the method used to construct the derivative network based on the shareholding relationship between two sets of actors and the affiliation relationship between actors and events. After constructing the derivative network, we analyze different topological features on the node level, edge level and entire network level and explain the meanings of the different values of the topological features combining the empirical data. This study is helpful for expanding the usage of complex networks to heterogeneous economic networks. For empirical research on the worldwide listed energy stock market, this study is useful for discovering the inner relationships between the nations and regions from a new perspective.

Empirical agreement in model validation.

PubMed

Jebeile, Julie; Barberousse, Anouk

2016-04-01

Empirical agreement is often used as an important criterion when assessing the validity of scientific models. However, it is by no means a sufficient criterion as a model can be so adjusted as to fit available data even though it is based on hypotheses whose plausibility is known to be questionable. Our aim in this paper is to investigate into the uses of empirical agreement within the process of model validation. Copyright © 2015 Elsevier Ltd. All rights reserved.

Targeted Victimization and Suicidality Among Trans People: A Web-Based Survey.

PubMed

Zeluf, Galit; Dhejne, Cecilia; Orre, Carolina; Mannheimer, Louise Nilunger; Deogan, Charlotte; Höijer, Jonas; Winzer, Regina; Thorson, Anna Ekéus

2018-04-01

The aim of this study was to investigate the associations between a series of empirically known risk and protective factors and suicidality among trans people in Sweden. Participants were self-selected anonymously to a web-based survey conducted in 2014. Univariable and multivariable logistic regression analyses were performed to assess associations between contributing factors and suicide ideation in the past 12 months and lifetime suicide attempts. The analysis included 796 trans individuals, between 15 and 94 years of age, who live in Sweden. A total of 37% of respondents reported that they have seriously considered suicide during the past 12 months and 32% had ever attempted a suicide. Offensive treatment during the past three months and lifetime exposure to trans-related violence were significantly associated with suicidality. Less satisfaction with contacts with friends and acquaintances and with one's own psychological wellbeing were associated with suicide ideation in the past 12 months. Lack of practical support was associated with lifetime suicide attempts. Our findings show that suicidality is directly correlated with trans-related victimization. Preventing targeted victimization is, therefore, a key preventive intervention against this elevated suicidality.

Targeted Victimization and Suicidality Among Trans People: A Web-Based Survey

PubMed Central

Dhejne, Cecilia; Orre, Carolina; Mannheimer, Louise Nilunger; Deogan, Charlotte; Höijer, Jonas; Winzer, Regina; Thorson, Anna Ekéus

2018-01-01

Abstract Purpose: The aim of this study was to investigate the associations between a series of empirically known risk and protective factors and suicidality among trans people in Sweden. Methods: Participants were self-selected anonymously to a web-based survey conducted in 2014. Univariable and multivariable logistic regression analyses were performed to assess associations between contributing factors and suicide ideation in the past 12 months and lifetime suicide attempts. Results: The analysis included 796 trans individuals, between 15 and 94 years of age, who live in Sweden. A total of 37% of respondents reported that they have seriously considered suicide during the past 12 months and 32% had ever attempted a suicide. Offensive treatment during the past three months and lifetime exposure to trans-related violence were significantly associated with suicidality. Less satisfaction with contacts with friends and acquaintances and with one's own psychological wellbeing were associated with suicide ideation in the past 12 months. Lack of practical support was associated with lifetime suicide attempts. Conclusions: Our findings show that suicidality is directly correlated with trans-related victimization. Preventing targeted victimization is, therefore, a key preventive intervention against this elevated suicidality. PMID:29641313

Evaluating Fast Maximum Likelihood-Based Phylogenetic Programs Using Empirical Phylogenomic Data Sets

PubMed Central

Zhou, Xiaofan; Shen, Xing-Xing; Hittinger, Chris Todd

2018-01-01

Abstract The sizes of the data matrices assembled to resolve branches of the tree of life have increased dramatically, motivating the development of programs for fast, yet accurate, inference. For example, several different fast programs have been developed in the very popular maximum likelihood framework, including RAxML/ExaML, PhyML, IQ-TREE, and FastTree. Although these programs are widely used, a systematic evaluation and comparison of their performance using empirical genome-scale data matrices has so far been lacking. To address this question, we evaluated these four programs on 19 empirical phylogenomic data sets with hundreds to thousands of genes and up to 200 taxa with respect to likelihood maximization, tree topology, and computational speed. For single-gene tree inference, we found that the more exhaustive and slower strategies (ten searches per alignment) outperformed faster strategies (one tree search per alignment) using RAxML, PhyML, or IQ-TREE. Interestingly, single-gene trees inferred by the three programs yielded comparable coalescent-based species tree estimations. For concatenation-based species tree inference, IQ-TREE consistently achieved the best-observed likelihoods for all data sets, and RAxML/ExaML was a close second. In contrast, PhyML often failed to complete concatenation-based analyses, whereas FastTree was the fastest but generated lower likelihood values and more dissimilar tree topologies in both types of analyses. Finally, data matrix properties, such as the number of taxa and the strength of phylogenetic signal, sometimes substantially influenced the programs’ relative performance. Our results provide real-world gene and species tree phylogenetic inference benchmarks to inform the design and execution of large-scale phylogenomic data analyses. PMID:29177474

78 FR 6316 - Empire Pipeline, Inc. (Empire); Notice of Filing

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-30

... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. AC13-22-000] Empire Pipeline, Inc. (Empire); Notice of Filing Take notice that on November 29, 2012 Empire Pipeline Company (Empire) submitted a request for a waiver of the reporting requirement to file the FERC Form 2 CPA Certification for...

Tissue artifact removal from respiratory signals based on empirical mode decomposition.

PubMed

Liu, Shaopeng; Gao, Robert X; John, Dinesh; Staudenmayer, John; Freedson, Patty

2013-05-01

On-line measurement of respiration plays an important role in monitoring human physical activities. Such measurement commonly employs sensing belts secured around the rib cage and abdomen of the test object. Affected by the movement of body tissues, respiratory signals typically have a low signal-to-noise ratio. Removing tissue artifacts therefore is critical to ensuring effective respiration analysis. This paper presents a signal decomposition technique for tissue artifact removal from respiratory signals, based on the empirical mode decomposition (EMD). An algorithm based on the mutual information and power criteria was devised to automatically select appropriate intrinsic mode functions for tissue artifact removal and respiratory signal reconstruction. Performance of the EMD-algorithm was evaluated through simulations and real-life experiments (N = 105). Comparison with low-pass filtering that has been conventionally applied confirmed the effectiveness of the technique in tissue artifacts removal.

Empirically Supported Psychotherapy in Social Work Training Programs: Does the Definition of Evidence Matter?

ERIC Educational Resources Information Center

Bledsoe, Sarah E.; Weissman, Myrna M.; Mullen, Edward J.; Ponniah, Kathryn; Gameroff, Marc J.; Verdeli, Helen; Mufson, Laura; Fitterling, Heidi; Wickramaratne, Priya

2007-01-01

Objectives: A national survey finds that 62% of social work programs do not require didactic and clinical supervision in any empirically supported psychotherapy (EST). The authors report the results of analysis of national survey data using two alternative classifications of EST to determine if the results are because of the definition of EST used…

School-based survey participation: oral health and BMI survey of Ohio third graders.

PubMed

Detty, Amber M R

2013-09-01

During the 2009-2010 school year, the Ohio Department of Health conducted a statewide oral health and body mass index (BMI) screening survey among 3rd grade children. This marked the fifth school-based survey regarding the oral health of Ohio children since 1987. At 50 %, the participation rate of the 2009-2010 oral health and BMI survey was at the lowest level ever experienced. This study aimed to identify the factors associated with participation rates in a school-based survey. A stratified, random sample of 377 schools was drawn from the list of 1,742 Ohio public elementary schools with third grade students. All third grade children in the sampled schools with parent or guardian consent received an oral health screening and height/weight measurement by trained health professionals. Participation rates at the school level were then combined with data on school characteristics and survey implementation. Predictors of school form return, participation, and refusal rates were assessed by generalized linear modeling (GLM). High student mobility and larger school size were associated with lower form return (p = 0.000 and p = 0.001, respectively) and lower participation rates (p = 0.000 and p = 0.005, respectively). Surveying in the fall or spring (as opposed to winter) significantly decreased form return (p = 0.001 and p = 0.016, respectively) and participation rates (p = 0.008 and p = 0.002, respectively), while being surveyed by internal staff (versus external screeners) significantly increased form return (p = 0.003) and participation rates (p = 0.001). Efforts to increase participation should focus more on schools with higher student mobility and larger size. Additionally, participation could be improved by using internal staff and surveying during winter.

Professional Career Opportunities for Rural College Students-An Empirical Analysis Based on the Chinese General Social Survey

ERIC Educational Resources Information Center

Yanjie, Bian; Yang, Xiao

2017-01-01

Rural college students are an important, integral part of the current urban labor force. This article uses a group comparison perspective to study the professional career opportunities and their impacting factors of rural college students and other related groups. Analysis of 2010 Chinese General Social Survey data shows the following: (1) college…

Analysis of Institutionally Specific Retention Research: A Comparison between Survey and Institutional Database Methods

ERIC Educational Resources Information Center

Caison, Amy L.

2007-01-01

This study empirically explores the comparability of traditional survey-based retention research methodology with an alternative approach that relies on data commonly available in institutional student databases. Drawing on Tinto's [Tinto, V. (1993). "Leaving College: Rethinking the Causes and Cures of Student Attrition" (2nd Ed.), The University…

Empirical source strength correlations for rans-based acoustic analogy methods

NASA Astrophysics Data System (ADS)

Kube-McDowell, Matthew Tyndall

JeNo is a jet noise prediction code based on an acoustic analogy method developed by Mani, Gliebe, Balsa, and Khavaran. Using the flow predictions from a standard Reynolds-averaged Navier-Stokes computational fluid dynamics solver, JeNo predicts the overall sound pressure level and angular spectra for high-speed hot jets over a range of observer angles, with a processing time suitable for rapid design purposes. JeNo models the noise from hot jets as a combination of two types of noise sources; quadrupole sources dependent on velocity fluctuations, which represent the major noise of turbulent mixing, and dipole sources dependent on enthalpy fluctuations, which represent the effects of thermal variation. These two sources are modeled by JeNo as propagating independently into the far-field, with no cross-correlation at the observer location. However, high-fidelity computational fluid dynamics solutions demonstrate that this assumption is false. In this thesis, the theory, assumptions, and limitations of the JeNo code are briefly discussed, and a modification to the acoustic analogy method is proposed in which the cross-correlation of the two primary noise sources is allowed to vary with the speed of the jet and the observer location. As a proof-of-concept implementation, an empirical correlation correction function is derived from comparisons between JeNo's noise predictions and a set of experimental measurements taken for the Air Force Aero-Propulsion Laboratory. The empirical correlation correction is then applied to JeNo's predictions of a separate data set of hot jets tested at NASA's Glenn Research Center. Metrics are derived to measure the qualitative and quantitative performance of JeNo's acoustic predictions, and the empirical correction is shown to provide a quantitative improvement in the noise prediction at low observer angles with no freestream flow, and a qualitative improvement in the presence of freestream flow. However, the results also demonstrate

Enhancing the Delivery of an Empirically-Supported Trauma-Focused Treatment for Adolescents: Providers' Views of the Role of Technology and Web-Based Resources.

PubMed

Orengo-Aguayo, Rosaura E; Hanson, Rochelle F; Moreland, Angela D; Jobe-Shields, Lisa; Adams, Zachary W

2018-07-01

This mixed-methods study assessed providers' views of the use of technology in the delivery of an empirically supported mental health treatment for adolescents (Trauma-Focused Cognitive Behavioral Therapy; TF-CBT). Thematic qualitative interviews were conducted with nine experienced providers. Emerging themes served as the basis for the creation of a quantitative web-based survey, completed by 56 TF-CBT experts, to assess the perceived helpfulness of the recommendations. Technology was perceived as a useful, appealing, and familiar tool that could greatly enhance the delivery of this treatment modality with adolescents. Main recommendations included the creation of a mobile application targeting all of the treatment components and a website with developmentally appropriate resources for providers, caregivers, and teens. Technology may be a useful tool for enhancing service delivery and promoting engagement among youth receiving trauma-focused mental health treatment.

77 FR 73432 - Proposed Information Collection; Comment Request; Survey of Shore-Based and Boat-Based Non...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-10

... Collection; Comment Request; Survey of Shore-Based and Boat-Based Non-Commercial Fishing on St. Croix, U.S... using this mode of fishing on St. Croix. Collection B will be a survey of boat-based, non- commercial... collection activities: (1) A survey of fishers at boat ramps and, (2) a count of boat trailers or vehicles at...

Empirical population and public health ethics: A review and critical analysis to advance robust empirical-normative inquiry.

PubMed

Knight, Rod

2016-05-01

The field of population and public health ethics (PPHE) has yet to fully embrace the generation of evidence as an important project. This article reviews the philosophical debates related to the 'empirical turn' in clinical bioethics, and critically analyses how PPHE has and can engage with the philosophical implications of generating empirical data within the task of normative inquiry. A set of five conceptual and theoretical issues pertaining to population health that are unresolved and could potentially benefit from empirical PPHE approaches to normative inquiry are discussed. Each issue differs from traditional empirical bioethical approaches, in that they emphasize (1) concerns related to the population, (2) 'upstream' policy-relevant health interventions - within and outside of the health care system and (3) the prevention of illness and disease. Within each theoretical issue, a conceptual example from population and public health approaches to HIV prevention and health promotion is interrogated. Based on the review and critical analysis, this article concludes that empirical-normative approaches to population and public health ethics would be most usefully pursued as an iterative project (rather than as a linear project), in which the normative informs the empirical questions to be asked and new empirical evidence constantly directs conceptualizations of what constitutes morally robust public health practices. Finally, a conceptualization of an empirical population and public health ethics is advanced in order to open up new interdisciplinary 'spaces', in which empirical and normative approaches to ethical inquiry are transparently (and ethically) integrated. © The Author(s) 2015.

An Empirical Study on Washback Effects of the Internet-Based College English Test Band 4 in China

ERIC Educational Resources Information Center

Wang, Chao; Yan, Jiaolan; Liu, Bao

2014-01-01

Based on Bailey's washback model, in respect of participants, process and products, the present empirical study was conducted to find the actual washback effects of the internet-based College English Test Band 4 (IB CET-4). The methods adopted are questionnaires, class observation, interview and the analysis of both the CET-4 teaching and testing…

Advantages and limitations of web-based surveys: evidence from a child mental health survey.

PubMed

Heiervang, Einar; Goodman, Robert

2011-01-01

Web-based surveys may have advantages related to the speed and cost of data collection as well as data quality. However, they may be biased by low and selective participation. We predicted that such biases would distort point-estimates such as average symptom level or prevalence but not patterns of associations with putative risk-factors. A structured psychiatric interview was administered to parents in two successive surveys of child mental health. In 2003, parents were interviewed face-to-face, whereas in 2006 they completed the interview online. In both surveys, interviews were preceded by paper questionnaires covering child and family characteristics. The rate of parents logging onto the web site was comparable to the response rate for face-to-face interviews, but the rate of full response (completing all sections of the interview) was much lower for web-based interviews. Full response was less frequent for non-traditional families, immigrant parents, and less educated parents. Participation bias affected point estimates of psychopathology but had little effect on associations with putative risk factors. The time and cost of full web-based interviews was only a quarter of that for face-to-face interviews. Web-based surveys may be performed faster and at lower cost than more traditional approaches with personal interviews. Selective participation seems a particular threat to point estimates of psychopathology, while patterns of associations are more robust.

Empirical evaluation of H.265/HEVC-based dynamic adaptive video streaming over HTTP (HEVC-DASH)

NASA Astrophysics Data System (ADS)

Irondi, Iheanyi; Wang, Qi; Grecos, Christos

2014-05-01

Real-time HTTP streaming has gained global popularity for delivering video content over Internet. In particular, the recent MPEG-DASH (Dynamic Adaptive Streaming over HTTP) standard enables on-demand, live, and adaptive Internet streaming in response to network bandwidth fluctuations. Meanwhile, emerging is the new-generation video coding standard, H.265/HEVC (High Efficiency Video Coding) promises to reduce the bandwidth requirement by 50% at the same video quality when compared with the current H.264/AVC standard. However, little existing work has addressed the integration of the DASH and HEVC standards, let alone empirical performance evaluation of such systems. This paper presents an experimental HEVC-DASH system, which is a pull-based adaptive streaming solution that delivers HEVC-coded video content through conventional HTTP servers where the client switches to its desired quality, resolution or bitrate based on the available network bandwidth. Previous studies in DASH have focused on H.264/AVC, whereas we present an empirical evaluation of the HEVC-DASH system by implementing a real-world test bed, which consists of an Apache HTTP Server with GPAC, an MP4Client (GPAC) with open HEVC-based DASH client and a NETEM box in the middle emulating different network conditions. We investigate and analyze the performance of HEVC-DASH by exploring the impact of various network conditions such as packet loss, bandwidth and delay on video quality. Furthermore, we compare the Intra and Random Access profiles of HEVC coding with the Intra profile of H.264/AVC when the correspondingly encoded video is streamed with DASH. Finally, we explore the correlation among the quality metrics and network conditions, and empirically establish under which conditions the different codecs can provide satisfactory performance.

School-Based Health Care State Policy Survey. Executive Summary

ERIC Educational Resources Information Center

National Assembly on School-Based Health Care, 2012

2012-01-01

The National Assembly on School-Based Health Care (NASBHC) surveys state public health and Medicaid offices every three years to assess state-level public policies and activities that promote the growth and sustainability of school-based health services. The FY2011 survey found 18 states (see map below) reporting investments explicitly dedicated…

Facebook's Effect on Learning in Higher Education: An Empirical Investigation

ERIC Educational Resources Information Center

Duncan, Doris G.; Barczyk, Casimir C.

2016-01-01

Due in part to its widespread acceptance, Facebook has been adopted as a tool for higher education courses. Proponents claim that Facebook-enhanced courses facilitate an increased community of practice, sense of learning and sense of connectedness compared to non-enhanced courses. This empirical study uses a survey methodology in an independent…

Transition mixing study empirical model report

NASA Technical Reports Server (NTRS)

Srinivasan, R.; White, C.

1988-01-01

The empirical model developed in the NASA Dilution Jet Mixing Program has been extended to include the curvature effects of transition liners. This extension is based on the results of a 3-D numerical model generated under this contract. The empirical model results agree well with the numerical model results for all tests cases evaluated. The empirical model shows faster mixing rates compared to the numerical model. Both models show drift of jets toward the inner wall of a turning duct. The structure of the jets from the inner wall does not exhibit the familiar kidney-shaped structures observed for the outer wall jets or for jets injected in rectangular ducts.

Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data.

PubMed

Dorazio, Robert M

2013-01-01

In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling. In these circumstances spatially explicit capture-recapture (SECR) models, which incorporate the observed locations of individuals, allow population density and abundance to be estimated while accounting for differences in detectability of individuals. In this paper I propose two Bayesian SECR models, one for the analysis of recaptures observed in trapping arrays and another for the analysis of recaptures observed in area searches. In formulating these models I used distinct submodels to specify the distribution of individual home-range centers and the observable recaptures associated with these individuals. This separation of ecological and observational processes allowed me to derive a formal connection between Bayes and empirical Bayes estimators of population abundance that has not been established previously. I showed that this connection applies to every Poisson point-process model of SECR data and provides theoretical support for a previously proposed estimator of abundance based on recaptures in trapping arrays. To illustrate results of both classical and Bayesian methods of analysis, I compared Bayes and empirical Bayes esimates of abundance and density using recaptures from simulated and real populations of animals. Real populations included two iconic datasets: recaptures of tigers detected in camera-trap surveys and recaptures of lizards detected in area-search surveys. In the datasets I analyzed, classical and Bayesian methods provided similar - and often identical - inferences, which is not surprising given the sample sizes and the noninformative priors used in the analyses.

Empirical Analysis of Green Supply Chain Management Practices in Indian Automobile Industry

NASA Astrophysics Data System (ADS)

Luthra, S.; Garg, D.; Haleem, A.

2014-04-01

Environmental sustainability and green environmental issues have an increasing popularity among researchers and supply chain practitioners. An attempt has been made to identify and empirically analyze green supply chain management (GSCM) practices in Indian automobile industry. Six main GSCM practices (having 37 sub practices) and four expected performance outcomes (having 16 performances) have been identified by implementing GSCM practices from literature review. Questionnaire based survey has been made to validate these practices and performance outcomes. 123 complete questionnaires were collected from Indian automobile organizations and used for empirical analysis of GSCM practices in Indian automobile industry. Descriptive statistics have been used to know current implementation status of GSCM practices in Indian automobile industry and multiple regression analysis has been carried out to know the impact on expected organizational performance outcomes by current GSCM practices adopted by Indian automobile industry. The results of study suggested that environmental, economic, social and operational performances improve with the implementation of GSCM practices. This paper may play an important role to understand various GSCM implementation issues and help practicing managers to improve their performances in the supply chain.

North Dakota implementation of mechanistic-empirical pavement design guide (MEPDG).

DOT National Transportation Integrated Search

2014-12-01

North Dakota currently designs roads based on the AASHTO Design Guide procedure, which is based on : the empirical findings of the AASHTO Road Test of the late 1950s. However, limitations of the current : empirical approach have prompted AASHTO to mo...

['Walkability' and physical activity - results of empirical studies based on the 'Neighbourhood Environment Walkability Scale (NEWS)'].

PubMed

Rottmann, M; Mielck, A

2014-02-01

'Walkability' is mainly assessed by the NEWS questionnaire (Neighbourhood Environment Walkability Scale); in Germany this questionnaire is widely unknown. We now try to fill this gap by providing a systematic overview of empirical studies based on the NEWS. A systematic review was conducted concerning original papers including empirical analyses based on the NEWS. The results are summarised and presented in tables. Altogether 31 publications could be identified. Most of them focus on associations with the variable 'physical activity', and they often report significant associations with at least some of the scales included in the NEWS. Due to methodological differences between the studies it is difficult to compare the results. The concept of 'walkability' should also be established in the German public health discussion. A number of methodological challenges remain to be solved, such as the identification of those scales and items in the NEWS that show the strongest associations with individual health behaviours. © Georg Thieme Verlag KG Stuttgart · New York.

Development of a Web-Based Survey for Monitoring Daily Health and its Application in an Epidemiological Survey

PubMed Central

Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe, Nobuhiko; Imamura, Tomoaki

2011-01-01

Background Early detection of symptoms arising from exposure to pathogens, harmful substances, or environmental changes is required for timely intervention. The administration of Web-based questionnaires is a potential method for collecting information from a sample population. Objective The objective of our study was to develop a Web-based daily questionnaire for health (WDQH) for symptomatic surveillance. Methods We adopted two different survey methods to develop the WDQH: an Internet panel survey, which included participants already registered with an Internet survey company, and the Tokyo Consumers’ Co-operative Union (TCCU) Internet survey, in cooperation with the Japanese Consumers’ Co-operative Union, which recruited participants by website advertising. The Internet panel survey participants were given a fee every day for providing answers, and the survey was repeated twice with modified surveys and collection methods: Internet Panel Survey I was conducted every day, and Internet Panel Survey II was conducted every 3 days to reduce costs. We examined whether the survey remained valid by reporting health conditions on day 1 over a 3-day period, and whether the response rate would vary among groups with different incentives. In the TCCU survey, participants were given a fee only for initially registering, and health information was provided in return for survey completion. The WDQH included the demographic details of participants and prompted them to answer questions about the presence of various symptoms by email. Health information collected by the WDQH was then used for the syndromic surveillance of infection. Results Response rates averaged 47.3% for Internet Panel Survey I, 42.7% for Internet Panel Survey II, and 40.1% for the TCCU survey. During a seasonal influenza epidemic, the WDQH detected a rapid increase in the number of participants with fever through the early aberration reporting system. Conclusions We developed a health observation method

Reframing Serial Murder Within Empirical Research.

PubMed

Gurian, Elizabeth A

2017-04-01

Empirical research on serial murder is limited due to the lack of consensus on a definition, the continued use of primarily descriptive statistics, and linkage to popular culture depictions. These limitations also inhibit our understanding of these offenders and affect credibility in the field of research. Therefore, this comprehensive overview of a sample of 508 cases (738 total offenders, including partnered groups of two or more offenders) provides analyses of solo male, solo female, and partnered serial killers to elucidate statistical differences and similarities in offending and adjudication patterns among the three groups. This analysis of serial homicide offenders not only supports previous research on offending patterns present in the serial homicide literature but also reveals that empirically based analyses can enhance our understanding beyond traditional case studies and descriptive statistics. Further research based on these empirical analyses can aid in the development of more accurate classifications and definitions of serial murderers.

Empirical data and moral theory. A plea for integrated empirical ethics.

PubMed

Molewijk, Bert; Stiggelbout, Anne M; Otten, Wilma; Dupuis, Heleen M; Kievit, Job

2004-01-01

Ethicists differ considerably in their reasons for using empirical data. This paper presents a brief overview of four traditional approaches to the use of empirical data: "the prescriptive applied ethicists," "the theorists," "the critical applied ethicists," and "the particularists." The main aim of this paper is to introduce a fifth approach of more recent date (i.e. "integrated empirical ethics") and to offer some methodological directives for research in integrated empirical ethics. All five approaches are presented in a table for heuristic purposes. The table consists of eight columns: "view on distinction descriptive-prescriptive sciences," "location of moral authority," "central goal(s)," "types of normativity," "use of empirical data," "method," "interaction empirical data and moral theory," and "cooperation with descriptive sciences." Ethicists can use the table in order to identify their own approach. Reflection on these issues prior to starting research in empirical ethics should lead to harmonization of the different scientific disciplines and effective planning of the final research design. Integrated empirical ethics (IEE) refers to studies in which ethicists and descriptive scientists cooperate together continuously and intensively. Both disciplines try to integrate moral theory and empirical data in order to reach a normative conclusion with respect to a specific social practice. IEE is not wholly prescriptive or wholly descriptive since IEE assumes an interdepence between facts and values and between the empirical and the normative. The paper ends with three suggestions for consideration on some of the future challenges of integrated empirical ethics.

Empirical Evaluation Indicators in Thai Higher Education: Theory-Based Multidimensional Learners' Assessment

ERIC Educational Resources Information Center

Sritanyarat, Dawisa; Russ-Eft, Darlene

2016-01-01

This study proposed empirical indicators which can be validated and adopted in higher education institutions to evaluate quality of teaching and learning, and to serve as an evaluation criteria for human resource management and development of higher institutions in Thailand. The main purpose of this study was to develop empirical indicators of a…

Validating a Theory-Based Survey to Evaluate Teaching Effectiveness in Higher Education

ERIC Educational Resources Information Center

Amrein-Beardsley, A.; Haladyna, T.

2012-01-01

Surveys to evaluate instructor effectiveness are commonly used in higher education. Yet the survey items included are often drawn from other surveys without reference to a theory of adult learning. The authors present the results from a validation study of such a theory-based survey. They evidence that an evaluation survey based on a theory that…

U.S. Coast Guard radionavigation system user survey

DOT National Transportation Integrated Search

1990-02-01

This report documents the findings of a national mail survey of civilian marine and terrestrial users of federally-operated Radionavigation Systems (RNS). The main objectives of the survey were to gather empirical data on the use pattern of current R...

Cardiac surgery antibiotic prophylaxis and calculated empiric antibiotic therapy.

PubMed

Gorski, Armin; Hamouda, Khaled; Özkur, Mehmet; Leistner, Markus; Sommer, Sebastian-Patrick; Leyh, Rainer; Schimmer, Christoph

2015-03-01

Ongoing debate exists concerning the optimal choice and duration of antibiotic prophylaxis as well as the reasonable calculated empiric antibiotic therapy for hospital-acquired infections in critically ill cardiac surgery patients. A nationwide questionnaire was distributed to all German heart surgery centers concerning antibiotic prophylaxis and the calculated empiric antibiotic therapy. The response to the questionnaire was 87.3%. All clinics that responded use antibiotic prophylaxis, 79% perform it not longer than 24 h (single-shot: 23%; 2 doses: 29%; 3 doses: 27%; 4 doses: 13%; and >5 doses: 8%). Cephalosporin was used in 89% of clinics (46% second-generation, 43% first-generation cephalosporin). If sepsis is suspected, the following diagnostics are performed routinely: wound inspection 100%; white blood cell count 100%; radiography 99%; C-reactive protein 97%; microbiological testing of urine 91%, blood 81%, and bronchial secretion 81%; procalcitonin 74%; and echocardiography 75%. The calculated empiric antibiotic therapy (depending on the suspected focus) consists of a multidrug combination with broad-spectrum agents. This survey shows that existing national guidelines and recommendations concerning perioperative antibiotic prophylaxis and calculated empiric antibiotic therapy are well applied in almost all German heart centers. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Empirical Validation and Application of the Computing Attitudes Survey

ERIC Educational Resources Information Center

Dorn, Brian; Elliott Tew, Allison

2015-01-01

Student attitudes play an important role in shaping learning experiences. However, few validated instruments exist for measuring student attitude development in a discipline-specific way. In this paper, we present the design, development, and validation of the computing attitudes survey (CAS). The CAS is an extension of the Colorado Learning…

Selection biases in empirical p(z) methods for weak lensing

DOE PAGES

Gruen, D.; Brimioulle, F.

2017-02-23

To measure the mass of foreground objects with weak gravitational lensing, one needs to estimate the redshift distribution of lensed background sources. This is commonly done in an empirical fashion, i.e. with a reference sample of galaxies of known spectroscopic redshift, matched to the source population. In this paper, we develop a simple decision tree framework that, under the ideal conditions of a large, purely magnitude-limited reference sample, allows an unbiased recovery of the source redshift probability density function p(z), as a function of magnitude and colour. We use this framework to quantify biases in empirically estimated p(z) caused bymore » selection effects present in realistic reference and weak lensing source catalogues, namely (1) complex selection of reference objects by the targeting strategy and success rate of existing spectroscopic surveys and (2) selection of background sources by the success of object detection and shape measurement at low signal to noise. For intermediate-to-high redshift clusters, and for depths and filter combinations appropriate for ongoing lensing surveys, we find that (1) spectroscopic selection can cause biases above the 10 per cent level, which can be reduced to ≈5 per cent by optimal lensing weighting, while (2) selection effects in the shape catalogue bias mass estimates at or below the 2 per cent level. Finally, this illustrates the importance of completeness of the reference catalogues for empirical redshift estimation.« less

Mental Health Functioning in the Human Rights Field: Findings from an International Internet-Based Survey.

PubMed

Joscelyne, Amy; Knuckey, Sarah; Satterthwaite, Margaret L; Bryant, Richard A; Li, Meng; Qian, Meng; Brown, Adam D

2015-01-01

Human rights advocates play a critical role in promoting respect for human rights world-wide, and engage in a broad range of strategies, including documentation of rights violations, monitoring, press work and report-writing, advocacy, and litigation. However, little is known about the impact of human rights work on the mental health of human rights advocates. This study examined the mental health profile of human rights advocates and risk factors associated with their psychological functioning. 346 individuals currently or previously working in the field of human rights completed an internet-based survey regarding trauma exposure, depression, posttraumatic stress disorder (PTSD), resilience and occupational burnout. PTSD was measured with the Posttraumatic Stress Disorder Checklist-Civilian Version (PCL-C) and depression was measured with the Patient History Questionnaire-9 (PHQ-9). These findings revealed that among human rights advocates that completed the survey, 19.4% met criteria for PTSD, 18.8% met criteria for subthreshold PTSD, and 14.7% met criteria for depression. Multiple linear regressions revealed that after controlling for symptoms of depression, PTSD symptom severity was predicted by human rights-related trauma exposure, perfectionism and negative self-appraisals about human rights work. In addition, after controlling for symptoms of PTSD, depressive symptoms were predicted by perfectionism and lower levels of self-efficacy. Survey responses also suggested high levels of resilience: 43% of responders reported minimal symptoms of PTSD. Although survey responses suggest that many human rights workers are resilient, they also suggest that human rights work is associated with elevated rates of PTSD and depression. The field of human rights would benefit from further empirical research, as well as additional education and training programs in the workplace about enhancing resilience in the context of human rights work.

Mental Health Functioning in the Human Rights Field: Findings from an International Internet-Based Survey

PubMed Central

Joscelyne, Amy; Knuckey, Sarah; Satterthwaite, Margaret L.; Bryant, Richard A.; Li, Meng; Qian, Meng; Brown, Adam D.

2015-01-01

Human rights advocates play a critical role in promoting respect for human rights world-wide, and engage in a broad range of strategies, including documentation of rights violations, monitoring, press work and report-writing, advocacy, and litigation. However, little is known about the impact of human rights work on the mental health of human rights advocates. This study examined the mental health profile of human rights advocates and risk factors associated with their psychological functioning. 346 individuals currently or previously working in the field of human rights completed an internet-based survey regarding trauma exposure, depression, posttraumatic stress disorder (PTSD), resilience and occupational burnout. PTSD was measured with the Posttraumatic Stress Disorder Checklist-Civilian Version (PCL-C) and depression was measured with the Patient History Questionnaire-9 (PHQ-9). These findings revealed that among human rights advocates that completed the survey, 19.4% met criteria for PTSD, 18.8% met criteria for subthreshold PTSD, and 14.7% met criteria for depression. Multiple linear regressions revealed that after controlling for symptoms of depression, PTSD symptom severity was predicted by human rights-related trauma exposure, perfectionism and negative self-appraisals about human rights work. In addition, after controlling for symptoms of PTSD, depressive symptoms were predicted by perfectionism and lower levels of self-efficacy. Survey responses also suggested high levels of resilience: 43% of responders reported minimal symptoms of PTSD. Although survey responses suggest that many human rights workers are resilient, they also suggest that human rights work is associated with elevated rates of PTSD and depression. The field of human rights would benefit from further empirical research, as well as additional education and training programs in the workplace about enhancing resilience in the context of human rights work. PMID:26700305

Do Professors Have Customer-Based Brand Equity?

ERIC Educational Resources Information Center

Jillapalli, Ravi K.; Jillapalli, Regina

2014-01-01

This research endeavors to understand whether certain professors have customer-based brand equity (CBBE) in the minds of students. Consequently, the purpose of this study is to conceptualize, develop, and empirically test a model of customer-based professor brand equity. Survey data gathered from 465 undergraduate business students were used to…

Space-based infrared near-Earth asteroid survey simulation

NASA Astrophysics Data System (ADS)

Tedesco, Edward F.; Muinonen, Karri; Price, Stephan D.

2000-08-01

We demonstrate the efficiency and effectiveness of using a satellite-based sensor with visual and infrared focal plane arrays to search for that subclass of Near-Earth Objects (NEOs) with orbits largely interior to the Earth's orbit. A space-based visual-infrared system could detect approximately 97% of the Atens and 64% of the IEOs (the, as yet hypothetical, objects with orbits entirely Interior to Earth's Orbit) with diameters greater than 1 km in a 5-year mission and obtain orbits, albedos and diameters for all of them; the respective percentages with diameters greater than 500 m are 90% and 60%. Incidental to the search for Atens and IEOs, we found that 70% of all Earth-Crossing Asteroids (ECAs) with diameters greater than 1 km, and 50% of those with diameters greater than 500 m, would also be detected. These are the results of a feasibility study; optimizing the concept presented would result in greater levels of completion. The cost of such a space-based system is estimated to be within a factor of two of the cost of a ground-based system capable of about 21st magnitude, which would provide only orbits and absolute magnitudes and require decades to reach these completeness levels. In addition to obtaining albedos and diameters for the asteroids discovered in the space-based survey, a space-based visual-infrared system would obtain the same information on virtually all NEOs of interest. A combined space-based and ground-based survey would be highly synergistic in that each can concentrate on what it does best and each complements the strengths of the other. The ground-based system would discover the majority of Amors and Apollos and provide long-term follow-up on all the NEOs discovered in both surveys. The space-based system would discover the majority of Atens and IEOs and provide albedos and diameters on all the NEOs discovered in both surveys and most previously discovered NEOs as well. Thus, an integrated ground- and space-based system could accomplish

The use of inexpensive computer-based scanning survey technology to perform medical practice satisfaction surveys.

PubMed

Shumaker, L; Fetterolf, D E; Suhrie, J

1998-01-01

The recent availability of inexpensive document scanners and optical character recognition technology has created the ability to process surveys in large numbers with a minimum of operator time. Programs, which allow computer entry of such scanned questionnaire results directly into PC based relational databases, have further made it possible to quickly collect and analyze significant amounts of information. We have created an internal capability to easily generate survey data and conduct surveillance across a number of medical practice sites within a managed care/practice management organization. Patient satisfaction surveys, referring physician surveys and a variety of other evidence gathering tools have been deployed.

Empirical psychology, common sense, and Kant's empirical markers for moral responsibility.

PubMed

Frierson, Patrick

2008-12-01

This paper explains the empirical markers by which Kant thinks that one can identify moral responsibility. After explaining the problem of discerning such markers within a Kantian framework I briefly explain Kant's empirical psychology. I then argue that Kant's empirical markers for moral responsibility--linked to higher faculties of cognition--are not sufficient conditions for moral responsibility, primarily because they are empirical characteristics subject to natural laws. Next. I argue that these markers are not necessary conditions of moral responsibility. Given Kant's transcendental idealism, even an entity that lacks these markers could be free and morally responsible, although as a matter of fact Kant thinks that none are. Given that they are neither necessary nor sufficient conditions, I discuss the status of Kant's claim that higher faculties are empirical markers of moral responsibility. Drawing on connections between Kant's ethical theory and 'common rational cognition' (4:393), I suggest that Kant's theory of empirical markers can be traced to ordinary common sense beliefs about responsibility. This suggestion helps explain both why empirical markers are important and what the limits of empirical psychology are within Kant's account of moral responsibility.

The Contribution of Environmental Assessment to Sustainable Development: Toward a Richer Empirical Understanding

NASA Astrophysics Data System (ADS)

Cashmore, Matthew; Bond, Alan; Cobb, Dick

2007-09-01

It has long been suggested that environmental assessment has the potential to contribute to sustainable development through mechanisms above and beyond informing design and consent decisions, and while theories have been proposed to explain how this might occur, few have been subjected to rigorous empirical validation. This research advances the theoretical debate by building a rich empirical understanding of environmental assessment’s practical outcomes, from which its potential to contribute to sustainable development can be gauged. Three case study environmental assessment processes in England were investigated using a combination of data generated from content analysis, in-depth interviews, and a questionnaire survey. Four categories of outcomes are delineated based on the research data: learning outcomes; governance outcomes; attitudinal and value changes; and developmental outcomes. The data provide a robust critique of mainstream theory, with its focus on design and consent decisions. The article concludes with an examination of the consequences of the context-specific nature of environmental assessment practices in terms of developing theory and focusing future research.

College Education and Attitudes toward Democracy in China: An Empirical Study

ERIC Educational Resources Information Center

Wang, Gang; Wu, Liyun; Han, Rongbin

2015-01-01

The modernization theory contends that there is a link between education and democracy. Yet few empirical studies have been done to investigate the role of higher education on promoting democratic values in the Chinese context. Using China General Social Survey 2006, this paper generates several findings which are not completely consistent with…

Empirical research in service engineering based on AHP and fuzzy methods

NASA Astrophysics Data System (ADS)

Zhang, Yanrui; Cao, Wenfu; Zhang, Lina

2015-12-01

Recent years, management consulting industry has been rapidly developing worldwide. Taking a big management consulting company as research object, this paper established an index system of service quality of consulting, based on customer satisfaction survey, evaluated service quality of the consulting company by AHP and fuzzy comprehensive evaluation methods.

Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data

USGS Publications Warehouse

Dorazio, Robert M.

2013-01-01

In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling. In these circumstances spatially explicit capture-recapture (SECR) models, which incorporate the observed locations of individuals, allow population density and abundance to be estimated while accounting for differences in detectability of individuals. In this paper I propose two Bayesian SECR models, one for the analysis of recaptures observed in trapping arrays and another for the analysis of recaptures observed in area searches. In formulating these models I used distinct submodels to specify the distribution of individual home-range centers and the observable recaptures associated with these individuals. This separation of ecological and observational processes allowed me to derive a formal connection between Bayes and empirical Bayes estimators of population abundance that has not been established previously. I showed that this connection applies to every Poisson point-process model of SECR data and provides theoretical support for a previously proposed estimator of abundance based on recaptures in trapping arrays. To illustrate results of both classical and Bayesian methods of analysis, I compared Bayes and empirical Bayes esimates of abundance and density using recaptures from simulated and real populations of animals. Real populations included two iconic datasets: recaptures of tigers detected in camera-trap surveys and recaptures of lizards detected in area-search surveys. In the datasets I analyzed, classical and Bayesian methods provided similar – and often identical – inferences, which is not surprising given the sample sizes and the noninformative priors used in the analyses.

Selection bias of Internet panel surveys: a comparison with a paper-based survey and national governmental statistics in Japan.

PubMed

Tsuboi, Satoshi; Yoshida, Honami; Ae, Ryusuke; Kojo, Takao; Nakamura, Yosikazu; Kitamura, Kunio

2015-03-01

To investigate the selection bias of an Internet panel survey organized by a commercial company. A descriptive study was conducted. The authors compared the characteristics of the Internet panel survey with a national paper-based survey and with national governmental statistics in Japan. The participants in the Internet panel survey were composed of more women, were older, and resided in large cities. Regardless of age and sex, the prevalence of highly educated people in the Internet panel survey was higher than in the paper-based survey and the national statistics. In men, the prevalence of heavy drinkers among the 30- to 49-year-old population and of habitual smokers among the 20- to 49-year-old population in the Internet panel survey was lower than what was found in the national statistics. The estimated characteristics of commercial Internet panel surveys were quite different from the national statistical data. In a commercial Internet panel survey, selection bias should not be underestimated. © 2012 APJPH.

Quality of reporting web-based and non-web-based survey studies: What authors, reviewers and consumers should consider.

PubMed

Turk, Tarek; Elhady, Mohamed Tamer; Rashed, Sherwet; Abdelkhalek, Mariam; Nasef, Somia Ahmed; Khallaf, Ashraf Mohamed; Mohammed, Abdelrahman Tarek; Attia, Andrew Wassef; Adhikari, Purushottam; Amin, Mohamed Alsabbahi; Hirayama, Kenji; Huy, Nguyen Tien

2018-01-01

Several influential aspects of survey research have been under-investigated and there is a lack of guidance on reporting survey studies, especially web-based projects. In this review, we aim to investigate the reporting practices and quality of both web- and non-web-based survey studies to enhance the quality of reporting medical evidence that is derived from survey studies and to maximize the efficiency of its consumption. Reporting practices and quality of 100 random web- and 100 random non-web-based articles published from 2004 to 2016 were assessed using the SUrvey Reporting GuidelinE (SURGE). The CHERRIES guideline was also used to assess the reporting quality of Web-based studies. Our results revealed a potential gap in the reporting of many necessary checklist items in both web-based and non-web-based survey studies including development, description and testing of the questionnaire, the advertisement and administration of the questionnaire, sample representativeness and response rates, incentives, informed consent, and methods of statistical analysis. Our findings confirm the presence of major discrepancies in reporting results of survey-based studies. This can be attributed to the lack of availability of updated universal checklists for quality of reporting standards. We have summarized our findings in a table that may serve as a roadmap for future guidelines and checklists, which will hopefully include all types and all aspects of survey research.

Empirical Bases for a Prekindergarten Curriculum for Disadvantaged Children.

ERIC Educational Resources Information Center

Di Lorenzo, Louis T.; And Others

This project was undertaken to establish a basis for a compensatory curriculum for disadvantaged preschool children by using existing empirical data to identify factors that predict success in reading comprehension and that differentiate the disadvantaged from the nondisadvantaged. The project focused on factors related to success in learning to…

Emotional Risks to Respondents in Survey Research: Some Empirical Evidence

PubMed Central

Labott, Susan M.; Johnson, Timothy P.; Fendrich, Michael; Feeny, Norah C.

2014-01-01

Some survey research has documented distress in respondents with pre-existing emotional vulnerabilities, suggesting the possibility of harm. In this study, respondents were interviewed about a personally distressing event; mood, stress, and emotional reactions were assessed. Two days later, respondents participated in interventions to either enhance or alleviate the effects of the initial interview. Results indicated that distressing interviews increased stress and negative mood, although no adverse events occurred. Between the interviews, moods returned to baseline. Respondents who again discussed a distressing event reported moods more negative than those who discussed a neutral or a positive event. This study provides evidence that, among nonvulnerable survey respondents, interviews on distressing topics can result in negative moods and stress, but they do not harm respondents. PMID:24169422

Empirical water depth predictions in Dublin Bay based on satellite EO multispectral imagery and multibeam data using spatially weighted geographical analysis

NASA Astrophysics Data System (ADS)

Monteys, Xavier; Harris, Paul; Caloca, Silvia

2014-05-01

The coastal shallow water zone can be a challenging and expensive environment within which to acquire bathymetry and other oceanographic data using traditional survey methods. Dangers and limited swath coverage make some of these areas unfeasible to survey using ship borne systems, and turbidity can preclude marine LIDAR. As a result, an extensive part of the coastline worldwide remains completely unmapped. Satellite EO multispectral data, after processing, allows timely, cost efficient and quality controlled information to be used for planning, monitoring, and regulating coastal environments. It has the potential to deliver repetitive derivation of medium resolution bathymetry, coastal water properties and seafloor characteristics in shallow waters. Over the last 30 years satellite passive imaging methods for bathymetry extraction, implementing analytical or empirical methods, have had a limited success predicting water depths. Different wavelengths of the solar light penetrate the water column to varying depths. They can provide acceptable results up to 20 m but become less accurate in deeper waters. The study area is located in the inner part of Dublin Bay, on the East coast of Ireland. The region investigated is a C-shaped inlet covering an area of 10 km long and 5 km wide with water depths ranging from 0 to 10 m. The methodology employed on this research uses a ratio of reflectance from SPOT 5 satellite bands, differing to standard linear transform algorithms. High accuracy water depths were derived using multibeam data. The final empirical model uses spatially weighted geographical tools to retrieve predicted depths. The results of this paper confirm that SPOT satellite scenes are suitable to predict depths using empirical models in very shallow embayments. Spatial regression models show better adjustments in the predictions over non-spatial models. The spatial regression equation used provides realistic results down to 6 m below the water surface, with

A community-based integrated nutrition research programme to alleviate poverty: baseline survey.

PubMed

Oldewage-Theron, W H; Dicks, E G; Napier, C E; Rutengwe, R

2005-04-01

The United Nation's Children Fund (UNICEF) has indicated that urban poverty is primarily found in squatter settlements. At present, 13.5% of all South African households live in informal settlements. The main hypothesis for this empirical study was that micromechanisms would not negatively influence food, nutrition and health of residents in an informal settlement in the Vaal Triangle, South Africa. This hypothesis was tested empirically against the UNICEF framework of the immediate, underlying and basic causes of malnutrition. The purpose of this study was to establish a situation analysis of children and women before designing any intervention. The objectives covered in this paper include Phases I and II of the project, namely planning of the project and determining the demographic and health profile of the sample as part of a situation analysis. This is a community participatory project. After a strategic participatory planning workshop with stakeholders, a plan of operation document, guiding all field undertakings, was drawn up (Phase 1), followed by a cross-sectional baseline survey (Phase II), situation analysis (Phase III), and implementation of community-based intervention studies (Phase IV). Impact measurement will follow in Phase V. After the planning meeting and obtaining consent, a pretested, structured demographic and health questionnaire was used to obtain data from 357 randomly selected households in an informal settlement. Data were statistically analysed for means and standard deviations. The findings of the workshop evaluation indicated that 100% of the participants (n = 34) agreed that a need existed for this project, 74% (n = 24) understood the relevance, and 64% (n = 22) realized the importance for sustainable community development. In the baseline survey, 89% of the respondents lived in zinc shacks with two rooms or less (32.2%), three or four rooms (41.5%) or four rooms or more (26.3%). The household size was six people or more (33%), five

Empirical Modeling of the Redshift Evolution of the [{\\rm{N}}\\,{\\rm{II}}]/Hα Ratio for Galaxy Redshift Surveys

NASA Astrophysics Data System (ADS)

Faisst, Andreas L.; Masters, Daniel; Wang, Yun; Merson, Alexander; Capak, Peter; Malhotra, Sangeeta; Rhoads, James E.

2018-03-01

We present an empirical parameterization of the [N II]/Hα flux ratio as a function of stellar mass and redshift valid at 0 < z < 2.7 and 8.5< {log}(M/{M}ȯ )< 11.0. This description can (i) easily be applied to simulations for modeling [N II]λ6584 line emission, (ii) deblend [N II] and Hα in current low-resolution grism and narrow-band observations to derive intrinsic Hα fluxes, and (iii) reliably forecast the number counts of Hα emission-line galaxies for future surveys, such as those planned for Euclid and the Wide Field Infrared Survey Telescope (WFIRST). Our model combines the evolution of the locus on the Baldwin, Phillips & Terlevich (BPT) diagram measured in spectroscopic data out to z ∼ 2.5 with the strong dependence of [N II]/Hα on stellar mass and [O III]/Hβ observed in local galaxy samples. We find large variations in the [N II]/Hα flux ratio at a fixed redshift due to its dependency on stellar mass; hence, the assumption of a constant [N II] flux contamination fraction can lead to a significant under- or overestimate of Hα luminosities. Specifically, measurements of the intrinsic Hα luminosity function derived from current low-resolution grism spectroscopy assuming a constant 29% contamination of [N II] can be overestimated by factors of ∼8 at {log}(L)> 43.0 for galaxies at redshifts z ∼ 1.5. This has implications for the prediction of Hα emitters for Euclid and WFIRST. We also study the impact of blended Hα and [N II] on the accuracy of measured spectroscopic redshifts.

23 CFR Appendix C to Part 1240 - Certification (Calendar Year 1998 Survey Based on Survey Approved Under 23 U.S.C. 153)

Code of Federal Regulations, 2012 CFR

2012-04-01

... belt use rate reported above is based on a survey whose design was approved by NHTSA, in writing, on or... survey design has remained unchanged since the survey was approved (except to the extent that the... 23 Highways 1 2012-04-01 2012-04-01 false Certification (Calendar Year 1998 Survey Based on Survey...

23 CFR Appendix C to Part 1240 - Certification (Calendar Year 1998 Survey Based on Survey Approved Under 23 U.S.C. 153)

Code of Federal Regulations, 2010 CFR

2010-04-01

... belt use rate reported above is based on a survey whose design was approved by NHTSA, in writing, on or... survey design has remained unchanged since the survey was approved (except to the extent that the... 23 Highways 1 2010-04-01 2010-04-01 false Certification (Calendar Year 1998 Survey Based on Survey...

23 CFR Appendix C to Part 1240 - Certification (Calendar Year 1998 Survey Based on Survey Approved Under 23 U.S.C. 153)

Code of Federal Regulations, 2013 CFR

2013-04-01

... belt use rate reported above is based on a survey whose design was approved by NHTSA, in writing, on or... survey design has remained unchanged since the survey was approved (except to the extent that the... 23 Highways 1 2013-04-01 2013-04-01 false Certification (Calendar Year 1998 Survey Based on Survey...

23 CFR Appendix C to Part 1240 - Certification (Calendar Year 1998 Survey Based on Survey Approved Under 23 U.S.C. 153)

Code of Federal Regulations, 2011 CFR

2011-04-01

... belt use rate reported above is based on a survey whose design was approved by NHTSA, in writing, on or... survey design has remained unchanged since the survey was approved (except to the extent that the... 23 Highways 1 2011-04-01 2011-04-01 false Certification (Calendar Year 1998 Survey Based on Survey...

23 CFR Appendix C to Part 1240 - Certification (Calendar Year 1998 Survey Based on Survey Approved Under 23 U.S.C. 153)

Code of Federal Regulations, 2014 CFR

2014-04-01

... belt use rate reported above is based on a survey whose design was approved by NHTSA, in writing, on or... survey design has remained unchanged since the survey was approved (except to the extent that the... 23 Highways 1 2014-04-01 2014-04-01 false Certification (Calendar Year 1998 Survey Based on Survey...

Using an empirical and rule-based modeling approach to map cause of disturbance in U.S

Treesearch

Todd A. Schroeder; Gretchen G. Moisen; Karen Schleeweis; Chris Toney; Warren B. Cohen; Zhiqiang Yang; Elizabeth A. Freeman

2015-01-01

Recently completing over a decade of research, the NASA/NACP funded North American Forest Dynamics (NAFD) project has led to several important advancements in the way U.S. forest disturbance dynamics are mapped at regional and continental scales. One major contribution has been the development of an empirical and rule-based modeling approach which addresses two of the...

Fall 1994 wildlife and vegetation survey, Norton Air Force Base, California

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

Not Available

The fall 1994 wildlife and vegetation surveys were completed October 3-7, 1994, at Norton Air Force Base (AFB), California. Two biologists from CDM Federal Programs, the U.S. Environmental Protection Agency (EPA) regional biologist and the Oak Ridge National Laboratory (ORNL) lead biologist conducted the surveys. A habitat assessment of three Installation Restoration Project (IRP) sites at Norton Air Force Base was also completed during the fall survey period. The IRP sites include: Landfill No. 2 (Site 2); the Industrial Wastewater Treatment Plant (IWTP) area; and Former Fire Training Area No. 1 (Site 5). The assessments were designed to qualitatively characterizemore » the sites of concern, identify potential ecological receptors, and provide information for Remedial Design/Remedial Action activities. A Reference Area (Santa Ana River Wash) and the base urban areas were also characterized. The reference area assessment was performed to provide a baseline for comparison with the IRP site habitats. The fall 1994 survey is the second of up to four surveys that may be completed. In order to develop a complete understanding of all plant and animal species using the base, these surveys were planned to be conducted over four seasons. Species composition can vary widely during the course of a year in Southern California, and therefore, seasonal surveys will provide the most complete and reliable data to address changes in habitat structure and wildlife use of the site. Subsequent surveys will focus on seasonal wildlife observations and a spring vegetation survey.« less

Detection of sea otters in boat-based surveys of Prince William Sound, Alaska

USGS Publications Warehouse

Udevitz, Mark S.; Bodkin, James L.; Costa, Daniel P.

1995-01-01

Boat-based surveys have been commonly used to monitor sea otter populations, but there has been little quantitative work to evaluate detection biases that may affect these surveys. We used ground-based observers to investigate sea otter detection probabilities in a boat-based survey of Prince William Sound, Alaska. We estimated that 30% of the otters present on surveyed transects were not detected by boat crews. Approximately half (53%) of the undetected otters were missed because the otters left the transects, apparently in response to the approaching boat. Unbiased estimates of detection probabilities will be required for obtaining unbiased population estimates from boat-based surveys of sea otters. Therefore, boat-based surveys should include methods to estimate sea otter detection probabilities under the conditions specific to each survey. Unbiased estimation of detection probabilities with ground-based observers requires either that the ground crews detect all of the otters in observed subunits, or that there are no errors in determining which crews saw each detected otter. Ground-based observer methods may be appropriate in areas where nearly all of the sea otter habitat is potentially visible from ground-based vantage points.

Artifact removal from EEG data with empirical mode decomposition

NASA Astrophysics Data System (ADS)

Grubov, Vadim V.; Runnova, Anastasiya E.; Efremova, Tatyana Yu.; Hramov, Alexander E.

2017-03-01

In the paper we propose the novel method for dealing with the physiological artifacts caused by intensive activity of facial and neck muscles and other movements in experimental human EEG recordings. The method is based on analysis of EEG signals with empirical mode decomposition (Hilbert-Huang transform). We introduce the mathematical algorithm of the method with following steps: empirical mode decomposition of EEG signal, choosing of empirical modes with artifacts, removing empirical modes with artifacts, reconstruction of the initial EEG signal. We test the method on filtration of experimental human EEG signals from movement artifacts and show high efficiency of the method.

The birth of the empirical turn in bioethics.

PubMed

Borry, Pascal; Schotsmans, Paul; Dierickx, Kris

2005-02-01

Since its origin, bioethics has attracted the collaboration of few social scientists, and social scientific methods of gathering empirical data have remained unfamiliar to ethicists. Recently, however, the clouded relations between the empirical and normative perspectives on bioethics appear to be changing. Three reasons explain why there was no easy and consistent input of empirical evidence in bioethics. Firstly, interdisciplinary dialogue runs the risk of communication problems and divergent objectives. Secondly, the social sciences were absent partners since the beginning of bioethics. Thirdly, the meta-ethical distinction between 'is' and 'ought' created a 'natural' border between the disciplines. Now, bioethics tends to accommodate more empirical research. Three hypotheses explain this emergence. Firstly, dissatisfaction with a foundationalist interpretation of applied ethics created a stimulus to incorporate empirical research in bioethics. Secondly, clinical ethicists became engaged in empirical research due to their strong integration in the medical setting. Thirdly, the rise of the evidence-based paradigm had an influence on the practice of bioethics. However, a problematic relationship cannot simply and easily evolve into a perfect interaction. A new and positive climate for empirical approaches has arisen, but the original difficulties have not disappeared.

An Empirical Introduction to the Concept of Chemical Element Based on Van Hiele's Theory of Level Transitions

ERIC Educational Resources Information Center

Vogelezang, Michiel; Van Berkel, Berry; Verdonk, Adri

2015-01-01

Between 1970 and 1990, the Dutch working group "Empirical Introduction to Chemistry" developed a secondary school chemistry education curriculum based on the educational vision of the mathematicians van Hiele and van Hiele-Geldof. This approach viewed learning as a process in which students must go through discontinuous level transitions…

Cross-Cultural Equivalence and Psychometric Properties of the Traditional Chinese Version of the Inviting School Survey-Revised

ERIC Educational Resources Information Center

Smith, Kenneth H.

2011-01-01

The Inviting School Survey-Revised (ISS-R) was adapted and translated into Traditional Chinese (ISS-RC), using a five-step process, based on international test administration guidelines, involving judgmental, logical, and empirical methods. Both versions were administered to a convenience sample of Chinese-English fluent Hong Kong school community…

Measuring sexual orientation in adolescent health surveys: evaluation of eight school-based surveys.

PubMed

Saewyc, Elizabeth M; Bauer, Greta R; Skay, Carol L; Bearinger, Linda H; Resnick, Michael D; Reis, Elizabeth; Murphy, Aileen

2004-10-01

To examine the performance of various items measuring sexual orientation within 8 school-based adolescent health surveys in the United States and Canada from 1986 through 1999. Analyses examined nonresponse and unsure responses to sexual orientation items compared with other survey items, demographic differences in responses, tests for response set bias, and congruence of responses to multiple orientation items; analytical methods included frequencies, contingency tables with Chi-square, and ANOVA with least significant differences (LSD)post hoc tests; all analyses were conducted separately by gender. In all surveys, nonresponse rates for orientation questions were similar to other sexual questions, but not higher; younger students, immigrants, and students with learning disabilities were more likely to skip items or select "unsure." Sexual behavior items had the lowest nonresponse, but fewer than half of all students reported sexual behavior, limiting its usefulness for indicating orientation. Item placement in the survey, wording, and response set bias all appeared to influence nonresponse and unsure rates. Specific recommendations include standardizing wording across future surveys, and pilot testing items with diverse ages and ethnic groups of teens before use. All three dimensions of orientation should be assessed where possible; when limited to single items, sexual attraction may be the best choice. Specific wording suggestions are offered for future surveys.

A Survey of Graduate Training in Empirically Supported and Manualized Treatments: A Preliminary Report

ERIC Educational Resources Information Center

Karekla, Maria; Lundgren, Jennifer D.; Forsyth, John P.

2004-01-01

The promotion and dissemination of empirically supported (ESTs) and manualized therapies are important, albeit controversial, developments within clinical science and practice. To date, studies evaluating training opportunities and attitudes about such treatments at the graduate, predoctoral internship, and postdoctoral levels have focused on the…

Considerations for conducting Web-based survey research with people living with human immunodeficiency virus using a community-based participatory approach.

PubMed

O'Brien, Kelly K; Solomon, Patricia; Worthington, Catherine; Ibáñez-Carrasco, Francisco; Baxter, Larry; Nixon, Stephanie A; Baltzer-Turje, Rosalind; Robinson, Greg; Zack, Elisse

2014-03-13

Web or Internet-based surveys are increasingly popular in health survey research. However, the strengths and challenges of Web-based surveys with people living with human immunodeficiency virus (HIV) are unclear. The aim of this article is to describe our experience piloting a cross-sectional, Web-based, self-administered survey with adults living with HIV using a community-based participatory research approach. We piloted a Web-based survey that investigated disability and rehabilitation services use with a sample of adults living with HIV in Canada. Community organizations in five provinces emailed invitations to clients, followed by a thank you/reminder one week later. We obtained survey feedback in a structured phone interview with respondents. Participant responses were transcribed verbatim and analyzed using directed content analysis. Of 30 people living with HIV who accessed the survey link, 24/30 (80%) initiated and 16/30 (53%) completed the survey instrument. A total of 17 respondents participated in post-survey interviews. Participants described the survey instrument as comprehensive, suggesting content validity. The majority (13/17, 76%) felt instruction and item wording were clear and easy to understand, and found the software easy to navigate. Participants felt having a pop-up reminder directing them to missed items would be useful. Strengths of implementing the Web-based survey included: our community-based participatory approach, ease of software use, ability for respondents to complete the questionnaire on one's own time at one's own pace, opportunity to obtain geographic variation, and potential for respondent anonymity. Considerations for future survey implementation included: respondent burden and fatigue, the potentially sensitive nature of HIV Web-based research, data management and storage, challenges verifying informed consent, varying computer skills among respondents, and the burden on community organizations. Overall, results provide

Discovery of Empirical Components by Information Theory

DTIC Science & Technology

2016-08-10

AFRL-AFOSR-VA-TR-2016-0289 Discovery of Empirical Components by Information Theory Amit Singer TRUSTEES OF PRINCETON UNIVERSITY 1 NASSAU HALL...3. DATES COVERED (From - To) 15 Feb 2013 to 14 Feb 2016 5a. CONTRACT NUMBER Discovery of Empirical Components by Information Theory 5b. GRANT...they draw not only from traditional linear algebra based numerical analysis or approximation theory , but also from information theory , graph theory

Integrated empirical ethics: loss of normativity?

PubMed

van der Scheer, Lieke; Widdershoven, Guy

2004-01-01

An important discussion in contemporary ethics concerns the relevance of empirical research for ethics. Specifically, two crucial questions pertain, respectively, to the possibility of inferring normative statements from descriptive statements, and to the danger of a loss of normativity if normative statements should be based on empirical research. Here we take part in the debate and defend integrated empirical ethical research: research in which normative guidelines are established on the basis of empirical research and in which the guidelines are empirically evaluated by focusing on observable consequences. We argue that in our concrete example normative statements are not derived from descriptive statements, but are developed within a process of reflection and dialogue that goes on within a specific praxis. Moreover, we show that the distinction in experience between the desirable and the undesirable precludes relativism. The normative guidelines so developed are both critical and normative: they help in choosing the right action and in evaluating that action. Finally, following Aristotle, we plead for a return to the view that morality and ethics are inherently related to one another, and for an acknowledgment of the fact that moral judgments have their origin in experience which is always related to historical and cultural circumstances.

Who uses bibliotherapy and why? A survey from an underserviced area.

PubMed

Adams, S J; Pitre, N L

2000-09-01

To assess which mental health therapists use bibliotherapy, their reasons for doing so, and rationale for recommending specific titles. To review the book selected most often in several categories, using prepublished criteria for reviewers of self-help books. We sent a survey to all therapists in a Northern Ontario community requesting information on therapist demographics, the respondent's practice, the use of bibliotherapy, and details of the book most often prescribed in various categories. Of 112 surveys, 62 were returned, for a response rate of 55%. Sixty-eight percent of respondents indicated that they used bibliotherapy. The most common reason for recommending books was to encourage self-help. There was a significant relation between greater counselling experience and increased use of bibliotherapy. Three of the 5 books reviewed were based on empirical theory; only 1 met all the guidelines. Most therapists recommend books to their clients, but there is little empirical evidence of efficacy. Counsellors should review the books recommended and discuss them with the client. Client opinion should be solicited and effectiveness measured.

An Empirical Study on the Job Satisfaction of College Graduates in China

ERIC Educational Resources Information Center

Changjun, Yue

2014-01-01

This study used nationwide, randomly sampled data from the Peking University Institute of Economics of Education 2011 survey of college graduates to conduct an empirical analysis of their job satisfaction. The results indicate that work-related factors have a significant effect on the job satisfaction of college graduates, while nonwork factors…

An Empirical Mass Function Distribution

NASA Astrophysics Data System (ADS)

Murray, S. G.; Robotham, A. S. G.; Power, C.

2018-03-01

The halo mass function, encoding the comoving number density of dark matter halos of a given mass, plays a key role in understanding the formation and evolution of galaxies. As such, it is a key goal of current and future deep optical surveys to constrain the mass function down to mass scales that typically host {L}\\star galaxies. Motivated by the proven accuracy of Press–Schechter-type mass functions, we introduce a related but purely empirical form consistent with standard formulae to better than 4% in the medium-mass regime, {10}10{--}{10}13 {h}-1 {M}ȯ . In particular, our form consists of four parameters, each of which has a simple interpretation, and can be directly related to parameters of the galaxy distribution, such as {L}\\star . Using this form within a hierarchical Bayesian likelihood model, we show how individual mass-measurement errors can be successfully included in a typical analysis, while accounting for Eddington bias. We apply our form to a question of survey design in the context of a semi-realistic data model, illustrating how it can be used to obtain optimal balance between survey depth and angular coverage for constraints on mass function parameters. Open-source Python and R codes to apply our new form are provided at http://mrpy.readthedocs.org and https://cran.r-project.org/web/packages/tggd/index.html respectively.

Using Information and Communications Technology in a National Population-Based Survey: The Kenya AIDS Indicator Survey 2012

PubMed Central

Ojwang’, James K.; Lee, Veronica C.; Waruru, Anthony; Ssempijja, Victor; Ng’ang’a, John G.; Wakhutu, Brian E.; Kandege, Nicholas O.; Koske, Danson K.; Kamiru, Samuel M.; Omondi, Kenneth O.; Kakinyi, Mutua; Kim, Andrea A.; Oluoch, Tom

2016-01-01

Background With improvements in technology, electronic data capture (EDC) for large surveys is feasible. EDC offers benefits over traditional paper-based data collection, including more accurate data, greater completeness of data, and decreased data cleaning burden. Methods The second Kenya AIDS Indicator Survey (KAIS 2012) was a population-based survey of persons aged 18 months to 64 years. A software application was designed to capture the interview, specimen collection, and home-based testing and counseling data. The application included: interview translations for local languages; options for single, multiple, and fill-in responses; and automated participant eligibility determination. Data quality checks were programmed to automate skip patterns and prohibit outlier responses. A data sharing architecture was developed to transmit the data in realtime from the field to a central server over a virtual private network. Results KAIS 2012 was conducted between October 2012 and February 2013. Overall, 68,202 records for the interviews, specimen collection, and home-based testing and counseling were entered into the application. Challenges arose during implementation, including poor connectivity and a systems malfunction that created duplicate records, which prevented timely data transmission to the central server. Data cleaning was minimal given the data quality control measures. Conclusions KAIS 2012 demonstrated the feasibility of using EDC in a population-based survey. The benefits of EDC were apparent in data quality and minimal time needed for data cleaning. Several important lessons were learned, such as the time and monetary investment required before survey implementation, the importance of continuous application testing, and contingency plans for data transmission due to connectivity challenges. PMID:24732816

Using information and communications technology in a national population-based survey: the Kenya AIDS Indicator Survey 2012.

PubMed

Ojwang', James K; Lee, Veronica C; Waruru, Anthony; Ssempijja, Victor; Ng'ang'a, John G; Wakhutu, Brian E; Kandege, Nicholas O; Koske, Danson K; Kamiru, Samuel M; Omondi, Kenneth O; Kakinyi, Mutua; Kim, Andrea A; Oluoch, Tom

2014-05-01

With improvements in technology, electronic data capture (EDC) for large surveys is feasible. EDC offers benefits over traditional paper-based data collection, including more accurate data, greater completeness of data, and decreased data cleaning burden. The second Kenya AIDS Indicator Survey (KAIS 2012) was a population-based survey of persons aged 18 months to 64 years. A software application was designed to capture the interview, specimen collection, and home-based testing and counseling data. The application included: interview translations for local languages; options for single, multiple, and fill-in responses; and automated participant eligibility determination. Data quality checks were programmed to automate skip patterns and prohibit outlier responses. A data sharing architecture was developed to transmit the data in real-time from the field to a central server over a virtual private network. KAIS 2012 was conducted between October 2012 and February 2013. Overall, 68,202 records for the interviews, specimen collection, and home-based testing and counseling were entered into the application. Challenges arose during implementation, including poor connectivity and a systems malfunction that created duplicate records, which prevented timely data transmission to the central server. Data cleaning was minimal given the data quality control measures. KAIS 2012 demonstrated the feasibility of using EDC in a population-based survey. The benefits of EDC were apparent in data quality and minimal time needed for data cleaning. Several important lessons were learned, such as the time and monetary investment required before survey implementation, the importance of continuous application testing, and contingency plans for data transmission due to connectivity challenges.

Electrocardiogram signal denoising based on empirical mode decomposition technique: an overview

NASA Astrophysics Data System (ADS)

Han, G.; Lin, B.; Xu, Z.

2017-03-01

Electrocardiogram (ECG) signal is nonlinear and non-stationary weak signal which reflects whether the heart is functioning normally or abnormally. ECG signal is susceptible to various kinds of noises such as high/low frequency noises, powerline interference and baseline wander. Hence, the removal of noises from ECG signal becomes a vital link in the ECG signal processing and plays a significant role in the detection and diagnosis of heart diseases. The review will describe the recent developments of ECG signal denoising based on Empirical Mode Decomposition (EMD) technique including high frequency noise removal, powerline interference separation, baseline wander correction, the combining of EMD and Other Methods, EEMD technique. EMD technique is a quite potential and prospective but not perfect method in the application of processing nonlinear and non-stationary signal like ECG signal. The EMD combined with other algorithms is a good solution to improve the performance of noise cancellation. The pros and cons of EMD technique in ECG signal denoising are discussed in detail. Finally, the future work and challenges in ECG signal denoising based on EMD technique are clarified.

Bivariate empirical mode decomposition for ECG-based biometric identification with emotional data.

PubMed

Ferdinando, Hany; Seppanen, Tapio; Alasaarela, Esko

2017-07-01

Emotions modulate ECG signals such that they might affect ECG-based biometric identification in real life application. It motivated in finding good feature extraction methods where the emotional state of the subjects has minimum impacts. This paper evaluates feature extraction based on bivariate empirical mode decomposition (BEMD) for biometric identification when emotion is considered. Using the ECG signal from the Mahnob-HCI database for affect recognition, the features were statistical distributions of dominant frequency after applying BEMD analysis to ECG signals. The achieved accuracy was 99.5% with high consistency using kNN classifier in 10-fold cross validation to identify 26 subjects when the emotional states of the subjects were ignored. When the emotional states of the subject were considered, the proposed method also delivered high accuracy, around 99.4%. We concluded that the proposed method offers emotion-independent features for ECG-based biometric identification. The proposed method needs more evaluation related to testing with other classifier and variation in ECG signals, e.g. normal ECG vs. ECG with arrhythmias, ECG from various ages, and ECG from other affective databases.

Intrinsic fluorescence of protein in turbid media using empirical relation based on Monte Carlo lookup table

NASA Astrophysics Data System (ADS)

Einstein, Gnanatheepam; Udayakumar, Kanniyappan; Aruna, Prakasarao; Ganesan, Singaravelu

2017-03-01

Fluorescence of Protein has been widely used in diagnostic oncology for characterizing cellular metabolism. However, the intensity of fluorescence emission is affected due to the absorbers and scatterers in tissue, which may lead to error in estimating exact protein content in tissue. Extraction of intrinsic fluorescence from measured fluorescence has been achieved by different methods. Among them, Monte Carlo based method yields the highest accuracy for extracting intrinsic fluorescence. In this work, we have attempted to generate a lookup table for Monte Carlo simulation of fluorescence emission by protein. Furthermore, we fitted the generated lookup table using an empirical relation. The empirical relation between measured and intrinsic fluorescence is validated using tissue phantom experiments. The proposed relation can be used for estimating intrinsic fluorescence of protein for real-time diagnostic applications and thereby improving the clinical interpretation of fluorescence spectroscopic data.

Law of Empires.

ERIC Educational Resources Information Center

Martz, Carlton

2001-01-01

This issue of "Bill of Rights in Action" explores issues raised by empires and imperial law. The first article, "Clash of Empires: The Fight for North America," looks at the clash of empires and the fight for North America during the 18th century. The second article, "When Roman Law Ruled the Western World," examines…

An empirical review of antimalarial quality field surveys: the importance of characterising outcomes.

PubMed

Grech, James; Robertson, James; Thomas, Jackson; Cooper, Gabrielle; Naunton, Mark; Kelly, Tamsin

2018-01-05

For decades, thousands of people have been dying from malaria infections because of poor-quality medicines (PQMs). While numerous efforts have been initiated to reduce their presence, PQMs are still risking the lives of those seeking treatment. This review addresses the importance of characterising results of antimalarial medicine field surveys based upon the agreement of clearly defined definitions. Medicines found to be of poor quality can be falsified or counterfeit, substandard or degraded. The distinction between these categories is important as each category requires a different countermeasure. To observe the current trends in the reporting of field surveys, a systematic literature search of six academic databases resulted in the quantitative analysis of 61 full-text journal articles. Information including sample size, sampling method, geographical regions, analytical techniques, and characterisation conclusions was observed for each. The lack of an accepted uniform reporting system has resulted in varying, incomplete reports, which may not include important information that helps form effective countermeasures. The programmes influencing medicine quality such as prequalification, procurement services, awareness and education can be supported with the information derived from characterised results. The implementation of checklists such as the Medicine Quality Assessment Reporting Guidelines will further strengthen the battle against poor-quality antimalarials. Copyright © 2017 Elsevier B.V. All rights reserved.

The Causal Effect of Survey Mode on Students' Evaluations of Teaching: Empirical Evidence from Three Field Experiments

ERIC Educational Resources Information Center

Treischl, Edgar; Wolbring, Tobias

2017-01-01

In recent years many universities switched from paper- to online-based student evaluation of teaching (SET) without knowing the consequences for data quality. Based on a series of three consecutive field experiments--a split-half design, twin courses, and pre-post-measurements--this paper examines the effects of survey mode on SET. First, all…

Fringe-projection profilometry based on two-dimensional empirical mode decomposition.

PubMed

Zheng, Suzhen; Cao, Yiping

2013-11-01

In 3D shape measurement, because deformed fringes often contain low-frequency information degraded with random noise and background intensity information, a new fringe-projection profilometry is proposed based on 2D empirical mode decomposition (2D-EMD). The fringe pattern is first decomposed into numbers of intrinsic mode functions by 2D-EMD. Because the method has partial noise reduction, the background components can be removed to obtain the fundamental components needed to perform Hilbert transformation to retrieve the phase information. The 2D-EMD can effectively extract the modulation phase of a single direction fringe and an inclined fringe pattern because it is a full 2D analysis method and considers the relationship between adjacent lines of a fringe patterns. In addition, as the method does not add noise repeatedly, as does ensemble EMD, the data processing time is shortened. Computer simulations and experiments prove the feasibility of this method.

Comparison of binding energies of SrcSH2-phosphotyrosyl peptides with structure-based prediction using surface area based empirical parameterization.

PubMed Central

Henriques, D. A.; Ladbury, J. E.; Jackson, R. M.

2000-01-01

The prediction of binding energies from the three-dimensional (3D) structure of a protein-ligand complex is an important goal of biophysics and structural biology. Here, we critically assess the use of empirical, solvent-accessible surface area-based calculations for the prediction of the binding of Src-SH2 domain with a series of tyrosyl phosphopeptides based on the high-affinity ligand from the hamster middle T antigen (hmT), where the residue in the pY+ 3 position has been changed. Two other peptides based on the C-terminal regulatory site of the Src protein and the platelet-derived growth factor receptor (PDGFR) are also investigated. Here, we take into account the effects of proton linkage on binding, and test five different surface area-based models that include different treatments for the contributions to conformational change and protein solvation. These differences relate to the treatment of conformational flexibility in the peptide ligand and the inclusion of proximal ordered solvent molecules in the surface area calculations. This allowed the calculation of a range of thermodynamic state functions (deltaCp, deltaS, deltaH, and deltaG) directly from structure. Comparison with the experimentally derived data shows little agreement for the interaction of SrcSH2 domain and the range of tyrosyl phosphopeptides. Furthermore, the adoption of the different models to treat conformational change and solvation has a dramatic effect on the calculated thermodynamic functions, making the predicted binding energies highly model dependent. While empirical, solvent-accessible surface area based calculations are becoming widely adopted to interpret thermodynamic data, this study highlights potential problems with application and interpretation of this type of approach. There is undoubtedly some agreement between predicted and experimentally determined thermodynamic parameters: however, the tolerance of this approach is not sufficient to make it ubiquitously applicable

Arts Entrepreneurship Education in the UK and Germany: An Empirical Survey among Lecturers in Fine Art

ERIC Educational Resources Information Center

Thom, Marco

2017-01-01

Purpose: The purpose of this paper is to report on the current state of arts entrepreneurship education at higher educational institutions (HEIs) in the UK and Germany. It is based on findings from questionnaire surveys among 210 lecturers in fine art at 89 HEIs in the UK and Germany. Design/methodology/approach: This paper explores issues related…

Considerations for Conducting Web-Based Survey Research With People Living With Human Immunodeficiency Virus Using a Community-Based Participatory Approach

PubMed Central

Solomon, Patricia; Worthington, Catherine; Ibáñez-Carrasco, Francisco; Baxter, Larry; Nixon, Stephanie A; Baltzer-Turje, Rosalind; Robinson, Greg; Zack, Elisse

2014-01-01

Background Web or Internet-based surveys are increasingly popular in health survey research. However, the strengths and challenges of Web-based surveys with people living with human immunodeficiency virus (HIV) are unclear. Objective The aim of this article is to describe our experience piloting a cross-sectional, Web-based, self-administered survey with adults living with HIV using a community-based participatory research approach. Methods We piloted a Web-based survey that investigated disability and rehabilitation services use with a sample of adults living with HIV in Canada. Community organizations in five provinces emailed invitations to clients, followed by a thank you/reminder one week later. We obtained survey feedback in a structured phone interview with respondents. Participant responses were transcribed verbatim and analyzed using directed content analysis. Results Of 30 people living with HIV who accessed the survey link, 24/30 (80%) initiated and 16/30 (53%) completed the survey instrument. A total of 17 respondents participated in post-survey interviews. Participants described the survey instrument as comprehensive, suggesting content validity. The majority (13/17, 76%) felt instruction and item wording were clear and easy to understand, and found the software easy to navigate. Participants felt having a pop-up reminder directing them to missed items would be useful. Conclusions Strengths of implementing the Web-based survey included: our community-based participatory approach, ease of software use, ability for respondents to complete the questionnaire on one’s own time at one’s own pace, opportunity to obtain geographic variation, and potential for respondent anonymity. Considerations for future survey implementation included: respondent burden and fatigue, the potentially sensitive nature of HIV Web-based research, data management and storage, challenges verifying informed consent, varying computer skills among respondents, and the burden on

Simulation-Based Probabilistic Tsunami Hazard Analysis: Empirical and Robust Hazard Predictions

NASA Astrophysics Data System (ADS)

De Risi, Raffaele; Goda, Katsuichiro

2017-08-01

Probabilistic tsunami hazard analysis (PTHA) is the prerequisite for rigorous risk assessment and thus for decision-making regarding risk mitigation strategies. This paper proposes a new simulation-based methodology for tsunami hazard assessment for a specific site of an engineering project along the coast, or, more broadly, for a wider tsunami-prone region. The methodology incorporates numerous uncertain parameters that are related to geophysical processes by adopting new scaling relationships for tsunamigenic seismic regions. Through the proposed methodology it is possible to obtain either a tsunami hazard curve for a single location, that is the representation of a tsunami intensity measure (such as inundation depth) versus its mean annual rate of occurrence, or tsunami hazard maps, representing the expected tsunami intensity measures within a geographical area, for a specific probability of occurrence in a given time window. In addition to the conventional tsunami hazard curve that is based on an empirical statistical representation of the simulation-based PTHA results, this study presents a robust tsunami hazard curve, which is based on a Bayesian fitting methodology. The robust approach allows a significant reduction of the number of simulations and, therefore, a reduction of the computational effort. Both methods produce a central estimate of the hazard as well as a confidence interval, facilitating the rigorous quantification of the hazard uncertainties.

Determination of knock characteristics in spark ignition engines: an approach based on ensemble empirical mode decomposition

NASA Astrophysics Data System (ADS)

Li, Ning; Yang, Jianguo; Zhou, Rui; Liang, Caiping

2016-04-01

Knock is one of the major constraints to improve the performance and thermal efficiency of spark ignition (SI) engines. It can also result in severe permanent engine damage under certain operating conditions. Based on the ensemble empirical mode decomposition (EEMD), this paper proposes a new approach to determine the knock characteristics in SI engines. By adding a uniformly distributed and finite white Gaussian noise, the EEMD can preserve signal continuity in different scales and therefore alleviates the mode-mixing problem occurring in the classic empirical mode decomposition (EMD). The feasibilities of applying the EEMD to detect the knock signatures of a test SI engine via the pressure signal measured from combustion chamber and the vibration signal measured from cylinder head are investigated. Experimental results show that the EEMD-based method is able to detect the knock signatures from both the pressure signal and vibration signal, even in initial stage of knock. Finally, by comparing the application results with those obtained by short-time Fourier transform (STFT), Wigner-Ville distribution (WVD) and discrete wavelet transform (DWT), the superiority of the EEMD method in determining knock characteristics is demonstrated.

An empirical analysis of an innovative application for an underutilized resource: small-diameter roundwood in recreational buildings

Treesearch

Randall Cantrell

2004-01-01

Builders were surveyed to explore perceptions regarding small-diameter roundwood (SDR). The study empirically tests a model of builders’ attitudes and opinions about using SDR as a building material in recreational buildings. Findings suggest that, of the 130 builders surveyed, most are likely to use SDR in recreational buildings when it meets the following criteria: 1...

Why do generic drugs fail to achieve an adequate market share in Greece? Empirical findings and policy suggestions.

PubMed

Balasopoulos, T; Charonis, A; Athanasakis, K; Kyriopoulos, J; Pavi, E

2017-03-01

Since 2010, the memoranda of understanding were implemented in Greece as a measure of fiscal adjustment. Public pharmaceutical expenditure was one of the main focuses of this implementation. Numerous policies, targeted on pharma spending, reduced the pharmaceutical budget by 60.5%. Yet, generics' penetration in Greece remained among the lowest among OECD countries. This study aims to highlight the factors that affect the perceptions of the population on generic drugs and to suggest effective policy measures. The empirical analysis is based on a national cross-sectional survey that was conducted through a sample of 2003 individuals, representative of the general population. Two ordinal logistic regression models were constructed in order to identify the determinants that affect the respondents' beliefs on the safety and the effectiveness of generic drugs. The empirical findings presented a positive and statistically significant correlation with income, bill payment difficulties, safety and effectiveness of drugs, prescription and dispensing preferences and the views toward pharmaceutical companies. Also, age and trust toward medical community have a positive and statistically significant correlation with the perception on the safety of generic drugs. Policy interventions are suggested on the bases of the empirical results on 3 major categories; (a) information campaigns, (b) incentives to doctors and pharmacists and (c) to strengthen the bioequivalence control framework and the dissemination of results. Copyright © 2017 Elsevier B.V. All rights reserved.

Empirically Guided Coordination of Multiple Evidence-Based Treatments: An Illustration of Relevance Mapping in Children's Mental Health Services

ERIC Educational Resources Information Center

Chorpita, Bruce F.; Bernstein, Adam; Daleiden, Eric L.

2011-01-01

Objective: Despite substantial progress in the development and identification of psychosocial evidence-based treatments (EBTs) in mental health, there is minimal empirical guidance for selecting an optimal "set" of EBTs maximally applicable and generalizable to a chosen service sample. Relevance mapping is a proposed methodology that…

Empirical Data Collection and Analysis Using Camtasia and Transana

ERIC Educational Resources Information Center

Thorsteinsson, Gisli; Page, Tom

2009-01-01

One of the possible techniques for collecting empirical data is video recordings of a computer screen with specific screen capture software. This method for collecting empirical data shows how students use the BSCWII (Be Smart Cooperate Worldwide--a web based collaboration/groupware environment) to coordinate their work and collaborate in…

A Win-Win Solution: The Empirical Evidence on School Choice. Third Edition

ERIC Educational Resources Information Center

Forster, Greg

2013-01-01

This report surveys the empirical research on school choice. It provides a thorough overview of what the research has found on five key topics: (1) Academic outcomes of choice participants; (2) Academic outcomes of public schools; (3) Fiscal impact on taxpayers; (4) Racial segregation in schools; and (5) Civic values and practices. The evidence…

Optical dosimetry probes to validate Monte Carlo and empirical-method-based NIR dose planning in the brain.

PubMed

Verleker, Akshay Prabhu; Shaffer, Michael; Fang, Qianqian; Choi, Mi-Ran; Clare, Susan; Stantz, Keith M

2016-12-01

A three-dimensional photon dosimetry in tissues is critical in designing optical therapeutic protocols to trigger light-activated drug release. The objective of this study is to investigate the feasibility of a Monte Carlo-based optical therapy planning software by developing dosimetry tools to characterize and cross-validate the local photon fluence in brain tissue, as part of a long-term strategy to quantify the effects of photoactivated drug release in brain tumors. An existing GPU-based 3D Monte Carlo (MC) code was modified to simulate near-infrared photon transport with differing laser beam profiles within phantoms of skull bone (B), white matter (WM), and gray matter (GM). A novel titanium-based optical dosimetry probe with isotropic acceptance was used to validate the local photon fluence, and an empirical model of photon transport was developed to significantly decrease execution time for clinical application. Comparisons between the MC and the dosimetry probe measurements were on an average 11.27%, 13.25%, and 11.81% along the illumination beam axis, and 9.4%, 12.06%, 8.91% perpendicular to the beam axis for WM, GM, and B phantoms, respectively. For a heterogeneous head phantom, the measured % errors were 17.71% and 18.04% along and perpendicular to beam axis. The empirical algorithm was validated by probe measurements and matched the MC results (R²0.99), with average % error of 10.1%, 45.2%, and 22.1% relative to probe measurements, and 22.6%, 35.8%, and 21.9% relative to the MC, for WM, GM, and B phantoms, respectively. The simulation time for the empirical model was 6 s versus 8 h for the GPU-based Monte Carlo for a head phantom simulation. These tools provide the capability to develop and optimize treatment plans for optimal release of pharmaceuticals in the treatment of cancer. Future work will test and validate these novel delivery and release mechanisms in vivo.

Forecasting stochastic neural network based on financial empirical mode decomposition.

PubMed

Wang, Jie; Wang, Jun

2017-06-01

In an attempt to improve the forecasting accuracy of stock price fluctuations, a new one-step-ahead model is developed in this paper which combines empirical mode decomposition (EMD) with stochastic time strength neural network (STNN). The EMD is a processing technique introduced to extract all the oscillatory modes embedded in a series, and the STNN model is established for considering the weight of occurrence time of the historical data. The linear regression performs the predictive availability of the proposed model, and the effectiveness of EMD-STNN is revealed clearly through comparing the predicted results with the traditional models. Moreover, a new evaluated method (q-order multiscale complexity invariant distance) is applied to measure the predicted results of real stock index series, and the empirical results show that the proposed model indeed displays a good performance in forecasting stock market fluctuations. Copyright © 2017 Elsevier Ltd. All rights reserved.

An empirically based conceptual framework for fostering meaningful patient engagement in research.

PubMed

Hamilton, Clayon B; Hoens, Alison M; Backman, Catherine L; McKinnon, Annette M; McQuitty, Shanon; English, Kelly; Li, Linda C

2018-02-01

Patient engagement in research (PEIR) is promoted to improve the relevance and quality of health research, but has little conceptualization derived from empirical data. To address this issue, we sought to develop an empirically based conceptual framework for meaningful PEIR founded on a patient perspective. We conducted a qualitative secondary analysis of in-depth interviews with 18 patient research partners from a research centre-affiliated patient advisory board. Data analysis involved three phases: identifying the themes, developing a framework and confirming the framework. We coded and organized the data, and abstracted, illustrated, described and explored the emergent themes using thematic analysis. Directed content analysis was conducted to derive concepts from 18 publications related to PEIR to supplement, confirm or refute, and extend the emergent conceptual framework. The framework was reviewed by four patient research partners on our research team. Participants' experiences of working with researchers were generally positive. Eight themes emerged: procedural requirements, convenience, contributions, support, team interaction, research environment, feel valued and benefits. These themes were interconnected and formed a conceptual framework to explain the phenomenon of meaningful PEIR from a patient perspective. This framework, the PEIR Framework, was endorsed by the patient research partners on our team. The PEIR Framework provides guidance on aspects of PEIR to address for meaningful PEIR. It could be particularly useful when patient-researcher partnerships are led by researchers with little experience of engaging patients in research. © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd.

Survey of Commercially Available Computer-Readable Bibliographic Data Bases.

ERIC Educational Resources Information Center

Schneider, John H., Ed.; And Others

This document contains the results of a survey of 94 U. S. organizations, and 36 organizations in other countries that were thought to prepare machine-readable data bases. Of those surveyed, 55 organizations (40 in U. S., 15 in other countries) provided completed camera-ready forms describing 81 commercially available, machine-readable data bases…

Measurement of COPD Severity Using a Survey-Based Score

PubMed Central

Omachi, Theodore A.; Katz, Patricia P.; Yelin, Edward H.; Iribarren, Carlos; Blanc, Paul D.

2010-01-01

Background: A comprehensive survey-based COPD severity score has usefulness for epidemiologic and health outcomes research. We previously developed and validated the survey-based COPD Severity Score without using lung function or other physiologic measurements. In this study, we aimed to further validate the severity score in a different COPD cohort and using a combination of patient-reported and objective physiologic measurements. Methods: Using data from the Function, Living, Outcomes, and Work cohort study of COPD, we evaluated the concurrent and predictive validity of the COPD Severity Score among 1,202 subjects. The survey instrument is a 35-point score based on symptoms, medication and oxygen use, and prior hospitalization or intubation for COPD. Subjects were systemically assessed using structured telephone survey, spirometry, and 6-min walk testing. Results: We found evidence to support concurrent validity of the score. Higher COPD Severity Score values were associated with poorer FEV1 (r = −0.38), FEV1% predicted (r = −0.40), Body mass, Obstruction, Dyspnea, Exercise Index (r = 0.57), and distance walked in 6 min (r = −0.43) (P < .0001 in all cases). Greater COPD severity was also related to poorer generic physical health status (r = −0.49) and disease-specific health-related quality of life (r = 0.57) (P < .0001). The score also demonstrated predictive validity. It was also associated with a greater prospective risk of acute exacerbation of COPD defined as ED visits (hazard ratio [HR], 1.31; 95% CI, 1.24-1.39), hospitalizations (HR, 1.59; 95% CI, 1.44-1.75), and either measure of hospital-based care for COPD (HR, 1.34; 95% CI, 1.26-1.41) (P < .0001 in all cases). Conclusion: The COPD Severity Score is a valid survey-based measure of disease-specific severity, both in terms of concurrent and predictive validity. The score is a psychometrically sound instrument for use in epidemiologic and outcomes research in COPD. PMID:20040611

Smartphone-Based, Self-Administered Intervention System for Alcohol Use Disorders: Theory and Empirical Evidence Basis

PubMed Central

Dulin, Patrick L.; Gonzalez, Vivian M.; King, Diane K.; Giroux, Danielle; Bacon, Samantha

2013-01-01

Advances in mobile technology provide an opportunity to deliver in-the-moment interventions to individuals with alcohol use disorders, yet availability of effective “apps” that deliver evidence-based interventions is scarce. We developed an immediately available, portable, smartphone-based intervention system whose purpose is to provide stand-alone, self-administered assessment and intervention. In this paper, we describe how theory and empirical evidence, combined with smartphone functionality contributed to the construction of a user-friendly, engaging alcohol intervention. With translation in mind, we discuss how we selected appropriate intervention components including assessments, feedback and tools, that work together to produce the hypothesized outcomes. PMID:24347811

Empirically Based Phenotypic Profiles of Children with Pervasive Developmental Disorders: Interpretation in the Light of the DSM-5

ERIC Educational Resources Information Center

Greaves-Lord, Kirstin; Eussen, Mart L. J. M.; Verhulst, Frank C.; Minderaa, Ruud B.; Mandy, William; Hudziak, James J.; Steenhuis, Mark Peter; de Nijs, Pieter F.; Hartman, Catharina A.

2013-01-01

This study aimed to contribute to the Diagnostic and Statistical Manual (DSM) debates on the conceptualization of autism by investigating (1) whether empirically based distinct phenotypic profiles could be distinguished within a sample of mainly cognitively able children with pervasive developmental disorder (PDD), and (2) how profiles related to…

Can high resolution topographic surveys provide reliable grain size estimates?

NASA Astrophysics Data System (ADS)

Pearson, Eleanor; Smith, Mark; Klaar, Megan; Brown, Lee

2017-04-01

High resolution topographic surveys contain a wealth of information that is not always exploited in the generation of Digital Elevation Models (DEMs). In particular, several authors have related sub-grid scale topographic variability (or 'surface roughness') to particle grain size by deriving empirical relationships between the two. Such relationships would permit rapid analysis of the spatial distribution of grain size over entire river reaches, providing data to drive distributed hydraulic models and revolutionising monitoring of river restoration projects. However, comparison of previous roughness-grain-size relationships shows substantial variability between field sites and do not take into account differences in patch-scale facies. This study explains this variability by identifying the factors that influence roughness-grain-size relationships. Using 275 laboratory and field-based Structure-from-Motion (SfM) surveys, we investigate the influence of: inherent survey error; irregularity of natural gravels; particle shape; grain packing structure; sorting; and form roughness on roughness-grain-size relationships. A suite of empirical relationships is presented in the form of a decision tree which improves estimations of grain size. Results indicate that the survey technique itself is capable of providing accurate grain size estimates. By accounting for differences in patch facies, R2 was seen to improve from 0.769 to R2 > 0.9 for certain facies. However, at present, the method is unsuitable for poorly sorted gravel patches. In future, a combination of a surface roughness proxy with photosieving techniques using SfM-derived orthophotos may offer improvements on using either technique individually.

Ensemble empirical mode decomposition based fluorescence spectral noise reduction for low concentration PAHs

NASA Astrophysics Data System (ADS)

Wang, Shu-tao; Yang, Xue-ying; Kong, De-ming; Wang, Yu-tian

2017-11-01

A new noise reduction method based on ensemble empirical mode decomposition (EEMD) is proposed to improve the detection effect for fluorescence spectra. Polycyclic aromatic hydrocarbons (PAHs) pollutants, as a kind of important current environmental pollution source, are highly oncogenic. Using the fluorescence spectroscopy method, the PAHs pollutants can be detected. However, instrument will produce noise in the experiment. Weak fluorescent signals can be affected by noise, so we propose a way to denoise and improve the detection effect. Firstly, we use fluorescence spectrometer to detect PAHs to obtain fluorescence spectra. Subsequently, noises are reduced by EEMD algorithm. Finally, the experiment results show the proposed method is feasible.

The Effect of Survey Mode on High School Risk Behavior Data: A Comparison between Web and Paper-Based Surveys

ERIC Educational Resources Information Center

Raghupathy, Shobana; Hahn-Smith, Stephen

2013-01-01

There has been increasing interest in using of web-based surveys--rather than paper based surveys--for collecting data on alcohol and other drug use in middle and high schools in the US. However, prior research has indicated that respondent confidentiality is an underlying concern with online data collection especially when computer-assisted…

Population-based absolute risk estimation with survey data

PubMed Central

Kovalchik, Stephanie A.; Pfeiffer, Ruth M.

2013-01-01

Absolute risk is the probability that a cause-specific event occurs in a given time interval in the presence of competing events. We present methods to estimate population-based absolute risk from a complex survey cohort that can accommodate multiple exposure-specific competing risks. The hazard function for each event type consists of an individualized relative risk multiplied by a baseline hazard function, which is modeled nonparametrically or parametrically with a piecewise exponential model. An influence method is used to derive a Taylor-linearized variance estimate for the absolute risk estimates. We introduce novel measures of the cause-specific influences that can guide modeling choices for the competing event components of the model. To illustrate our methodology, we build and validate cause-specific absolute risk models for cardiovascular and cancer deaths using data from the National Health and Nutrition Examination Survey. Our applications demonstrate the usefulness of survey-based risk prediction models for predicting health outcomes and quantifying the potential impact of disease prevention programs at the population level. PMID:23686614

Comparison of Self-Reported Telephone Interviewing and Web-Based Survey Responses: Findings From the Second Australian Young and Well National Survey

PubMed Central

Davenport, Tracey A; Burns, Jane M; Hickie, Ian B

2017-01-01

Background Web-based self-report surveying has increased in popularity, as it can rapidly yield large samples at a low cost. Despite this increase in popularity, in the area of youth mental health, there is a distinct lack of research comparing the results of Web-based self-report surveys with the more traditional and widely accepted computer-assisted telephone interviewing (CATI). Objective The Second Australian Young and Well National Survey 2014 sought to compare differences in respondent response patterns using matched items on CATI versus a Web-based self-report survey. The aim of this study was to examine whether responses varied as a result of item sensitivity, that is, the item’s susceptibility to exaggeration on underreporting and to assess whether certain subgroups demonstrated this effect to a greater extent. Methods A subsample of young people aged 16 to 25 years (N=101), recruited through the Second Australian Young and Well National Survey 2014, completed the identical items on two occasions: via CATI and via Web-based self-report survey. Respondents also rated perceived item sensitivity. Results When comparing CATI with the Web-based self-report survey, a Wilcoxon signed-rank analysis showed that respondents answered 14 of the 42 matched items in a significantly different way. Significant variation in responses (CATI vs Web-based) was more frequent if the item was also rated by the respondents as highly sensitive in nature. Specifically, 63% (5/8) of the high sensitivity items, 43% (3/7) of the neutral sensitivity items, and 0% (0/4) of the low sensitivity items were answered in a significantly different manner by respondents when comparing their matched CATI and Web-based question responses. The items that were perceived as highly sensitive by respondents and demonstrated response variability included the following: sexting activities, body image concerns, experience of diagnosis, and suicidal ideation. For high sensitivity items, a regression

Comparison of Self-Reported Telephone Interviewing and Web-Based Survey Responses: Findings From the Second Australian Young and Well National Survey.

PubMed

Milton, Alyssa C; Ellis, Louise A; Davenport, Tracey A; Burns, Jane M; Hickie, Ian B

2017-09-26

Web-based self-report surveying has increased in popularity, as it can rapidly yield large samples at a low cost. Despite this increase in popularity, in the area of youth mental health, there is a distinct lack of research comparing the results of Web-based self-report surveys with the more traditional and widely accepted computer-assisted telephone interviewing (CATI). The Second Australian Young and Well National Survey 2014 sought to compare differences in respondent response patterns using matched items on CATI versus a Web-based self-report survey. The aim of this study was to examine whether responses varied as a result of item sensitivity, that is, the item's susceptibility to exaggeration on underreporting and to assess whether certain subgroups demonstrated this effect to a greater extent. A subsample of young people aged 16 to 25 years (N=101), recruited through the Second Australian Young and Well National Survey 2014, completed the identical items on two occasions: via CATI and via Web-based self-report survey. Respondents also rated perceived item sensitivity. When comparing CATI with the Web-based self-report survey, a Wilcoxon signed-rank analysis showed that respondents answered 14 of the 42 matched items in a significantly different way. Significant variation in responses (CATI vs Web-based) was more frequent if the item was also rated by the respondents as highly sensitive in nature. Specifically, 63% (5/8) of the high sensitivity items, 43% (3/7) of the neutral sensitivity items, and 0% (0/4) of the low sensitivity items were answered in a significantly different manner by respondents when comparing their matched CATI and Web-based question responses. The items that were perceived as highly sensitive by respondents and demonstrated response variability included the following: sexting activities, body image concerns, experience of diagnosis, and suicidal ideation. For high sensitivity items, a regression analysis showed respondents who were male

Cooperative Factors, Cooperative Innovation Effect and Innovation Performance for Chinese Firms: an Empirical Study

NASA Astrophysics Data System (ADS)

Xie, Xuemei

Based on a survey to 1206 Chinese firms, this paper empirically explores the factors impacting cooperative innovation effect of firms, and seeks to explore the relationship between cooperative innovation effect (CIE) and innovation performance using the technique of Structural Equation Modeling (SEM). The study finds there are significant positive relationships between basic sustaining factors, factors of government and policy, factors of cooperation mechanism and social network, and cooperative innovation effect. However, the result reveals that factors of government and policy demonstrate little impact on the CIE of firms compared with other factors. It is hoped that the findings can pave the way for future studies in improving cooperative innovation capacity for firms in emerging countries.

A practical application of practice-based learning: development of an algorithm for empiric antibiotic coverage in ventilator-associated pneumonia.

PubMed

Miller, Preston R; Partrick, Matthew S; Hoth, J Jason; Meredith, J Wayne; Chang, Michael C

2006-04-01

Development of practice-based learning (PBL) is one of the core competencies required for resident education by the Accreditation Council for Graduate Medical Education, and specialty organizations including the American College of Surgeons have formed task forces to understand and disseminate information on this important concept. However, translating this concept into daily practice may be difficult. Our goal was to describe the successful application of PBL to patient care improvement with development of an algorithm for the empiric therapy of ventilator-associated pneumonia (VAP). The algorithm development occurred in two phases. In phase 1, the microbiology and timing of VAP as diagnosed by bronchoalveolar lavage was reviewed over a 2-year period to allow for recognition of patterns of infection. In phase 2, based on these data, an algorithm for empiric antibiotic coverage that would ensure that the large majority of patients with VAP received adequate initial empiric therapy was developed and put into practice. The period of algorithm use was then examined to determine rate of adequate coverage and outcome. : In Phase 1, from January 1, 2000 to December 31 2001, 110 patients were diagnosed with VAP. Analysis of microbiology revealed a sharp increase in the recovery of nosocomial pathogens on postinjury day 7 (19% < day 7 versus 47% > or = day 7, p = 0.003). Adequate initial antibiotic coverage was seen in 74%. In Phase 2, an algorithm employing ampicillin- sulbactam for coverage of community- acquired pathogens before day 7 and cefipime for nosocomial coverage > or =day 7 was then employed from January 1, 2002 to December 31, 2003. Evaluation of 186 VAP cases during this interval revealed a similar distribution of nosocomial cases (13% < day 7 versus 64% > or = day 7, p < 0.0001). Empiric antibiotic therapy was adequate in 82% of cases or =day 7: overall accuracy improved to 83% (p = 0.05). Mortality from phase 1 to phase 2 trended

Differences in Household Registration and College Student Employment--An Empirical Study Based on an Employment Survey of College Graduates

ERIC Educational Resources Information Center

Yujie, Wang; Yali, Liu; Zebing, Li; Chunbing, Xing; Xiaoyong, Cui; Cheng, Jiang

2017-01-01

This article uses 2011 sampling survey data on the nationwide state of employment of college graduates to investigate differences in the following three areas: starting salary, industry entry, and entry to state-owned work units between college students with urban and rural household registrations. The study finds that college students with rural…

Motion Trajectories for Wide-area Surveying with a Rover-based Distributed Spectrometer

NASA Technical Reports Server (NTRS)

Tunstel, Edward; Anderson, Gary; Wilson, Edmond

2006-01-01

A mobile ground survey application that employs remote sensing as a primary means of area coverage is highlighted. It is distinguished from mobile robotic area coverage problems that employ contact or proximity-based sensing. The focus is on a specific concept for performing mobile surveys in search of biogenic gases on planetary surfaces using a distributed spectrometer -- a rover-based instrument designed for wide measurement coverage of promising search areas. Navigation algorithms for executing circular and spiral survey trajectories are presented for widearea distributed spectroscopy and evaluated based on area covered and distance traveled.

Reflective equilibrium and empirical data: third person moral experiences in empirical medical ethics.

PubMed

De Vries, Martine; Van Leeuwen, Evert

2010-11-01

In ethics, the use of empirical data has become more and more popular, leading to a distinct form of applied ethics, namely empirical ethics. This 'empirical turn' is especially visible in bioethics. There are various ways of combining empirical research and ethical reflection. In this paper we discuss the use of empirical data in a special form of Reflective Equilibrium (RE), namely the Network Model with Third Person Moral Experiences. In this model, the empirical data consist of the moral experiences of people in a practice. Although inclusion of these moral experiences in this specific model of RE can be well defended, their use in the application of the model still raises important questions. What precisely are moral experiences? How to determine relevance of experiences, in other words: should there be a selection of the moral experiences that are eventually used in the RE? How much weight should the empirical data have in the RE? And the key question: can the use of RE by empirical ethicists really produce answers to practical moral questions? In this paper we start to answer the above questions by giving examples taken from our research project on understanding the norm of informed consent in the field of pediatric oncology. We especially emphasize that incorporation of empirical data in a network model can reduce the risk of self-justification and bias and can increase the credibility of the RE reached. © 2009 Blackwell Publishing Ltd.

VizieR Online Data Catalog: 05 through L3 empirical stellar spectra from SDSS (Kesseli+, 2017)

NASA Astrophysics Data System (ADS)

Kesseli, A. Y.; West, A. A.; Veyette, M.; Harrison, B.; Feldman, D.; Bochanski, J. J.

2017-08-01

We present a library of empirical stellar spectra created using spectra from the Sloan Digital Sky Survey's Baryon Oscillation Spectroscopic Survey. The templates cover spectral types O5 through L3, are binned by metallicity from -2.0dex through +1.0dex, and are separated into main-sequence (dwarf) stars and giant stars. With recently developed M dwarf metallicity indicators, we are able to extend the metallicity bins down through the spectral subtype M8, making this the first empirical library with this degree of temperature and metallicity coverage. The wavelength coverage for the templates is from 3650 to 10200Å at a resolution of better than R~2000. Using the templates, we identify trends in color space with metallicity and surface gravity, which will be useful for analyzing large data sets from upcoming missions like the Large Synoptic Survey Telescope. Along with the templates, we are releasing a code for automatically (and/or visually) identifying the spectral type and metallicity of a star. (3 data files).

Ergonomics in office-based surgery: a survey-guided observational study.

PubMed

Esser, Adam C; Koshy, James G; Randle, Henry W

2007-11-01

The practice of office-based surgery is increasing in many specialties. Using Mohs surgery as a model, we investigated the role of ergonomics in office-based surgery to limit work-related musculoskeletal disorders. All Mayo Clinic surgeons currently performing Mohs surgery and Mohs surgeons trained at Mayo Clinic between 1990 and 2004 received a questionnaire survey between May 2003 and September 2004. A sample of respondents were videotaped during surgery. The main outcome measures were survey responses and an ergonomist's identification of potential causes of musculoskeletal disorders. All 17 surgeons surveyed responded. Those surveyed spend a mean of 24 hours per week in surgery. Sixteen said they had symptoms caused by or made worse by performing surgery. Symptom onset occurred on average at age 35.4 years. The most common complaints were pain and stiffness in the neck, shoulders, and lower back and headaches. Videotapes of 6 surgeons revealed problems with operating room setup, awkward posture, forceful exertion, poor positioning, lighting, and duration of procedures. Symptoms of musculoskeletal injuries are common and may begin early in a physician's career. Modifying footwear, flooring, table height, operating position, lighting, and surgical instruments may improve the ergonomics of office-based surgery.

Use of cyanide antidotes in burn patients with suspected inhalation injuries in North America: a cross-sectional survey.

PubMed

Dumestre, Danielle; Nickerson, Duncan

2014-01-01

This study aimed to assess the use of cyanide antidotes and the determine the opinion on empiric administration of hydroxocobalamin in North American burn patients with suspected smoke inhalation injuries. An online cross-sectional survey was sent to directors of 90 major burn centers in North America, which were listed on the American Burn Association Web site. A multiple-choice format was used to determine the percentage of patients tested for cyanide poisoning on admission, the current administration of a cyanide antidote based solely on clinical suspicion of poisoning, and the antidote used. To ascertain views on immediate administration of hydroxocobalamin before confirmation of cyanide poisoning an option was included to expand the response in written format. Twenty-nine of 90 burn directors (32%) completed the survey. For the population of interest, the majority of burn centers (59%) do not test for cyanide poisoning on admission and do not administer an antidote based solely on clinical suspicion of cyanide poisoning (58%). The most commonly available antidote is hydroxocobalamin (50%), followed by the cyanide antidote kit (29%). The opinion regarding instant administration of hydroxocobalamin when inhalation injury is suspected is mixed: 31% support its empiric use, 17% do not, and the remaining 52% have varying degrees of confidence in its utility. In North America, most patients burnt in closed-space fires with inhalation injuries are neither tested for cyanide poisoning in a timely manner nor empirically treated with a cyanide antidote. Although studies have shown the safety and efficacy of empiric and immediate administration of hydroxocobalamin, most centers are not willing to do so.

Symbiotic empirical ethics: a practical methodology.

PubMed

Frith, Lucy

2012-05-01

Like any discipline, bioethics is a developing field of academic inquiry; and recent trends in scholarship have been towards more engagement with empirical research. This 'empirical turn' has provoked extensive debate over how such 'descriptive' research carried out in the social sciences contributes to the distinctively normative aspect of bioethics. This paper will address this issue by developing a practical research methodology for the inclusion of data from social science studies into ethical deliberation. This methodology will be based on a naturalistic conception of ethical theory that sees practice as informing theory just as theory informs practice - the two are symbiotically related. From this engagement with practice, the ways that such theories need to be extended and developed can be determined. This is a practical methodology for integrating theory and practice that can be used in empirical studies, one that uses ethical theory both to explore the data and to draw normative conclusions. © 2010 Blackwell Publishing Ltd.

Empirically Founded Teaching in Psychology--An Example for the Combination of Evidence-Based Teaching and the Scholarship of Teaching and Learning

ERIC Educational Resources Information Center

Boser, Julia; Scherer, Sonja; Kuchta, Kathrin; Wenzel, S. Franziska C.; Horz, Holger

2017-01-01

To improve teaching in higher education, teachers in psychology are encouraged to use evidence-based teaching, that is, to apply empirical findings regarding learning and teaching, when designing learning opportunities. This report illustrates the combination of evidence-based teaching and the Scholarship of Teaching and Learning in teaching…

A Twitter-based survey on marijuana concentrate use.

PubMed

Daniulaityte, Raminta; Zatreh, Mussa Y; Lamy, Francois R; Nahhas, Ramzi W; Martins, Silvia S; Sheth, Amit; Carlson, Robert G

2018-06-01

The purpose of this paper is to analyze characteristics of marijuana concentrate users, describe patterns and reasons of use, and identify factors associated with daily use of concentrates among U.S.-based cannabis users recruited via a Twitter-based online survey. An anonymous Web-based survey was conducted in June 2017 with 687 U.S.-based cannabis users recruited via Twitter-based ads. The survey included questions about state of residence, socio-demographic characteristics, and cannabis use including marijuana concentrates. Multiple logistic regression analyses were conducted to identify characteristics associated with lifetime and daily use of marijuana concentrates. Almost 60% of respondents were male, 86% were white, and the mean age was 43.0 years. About 48% reported marijuana concentrate use. After adjusting for multiple testing, significant predictors of concentrate use included: living in "recreational" (AOR = 2.04; adj. p = .042) or "medical, less restrictive" (AOR = 1.74; adj. p = .030) states, being younger (AOR = 0.97, adj. p = .008), and daily herbal cannabis use (AOR = 2.57, adj. p = .008). Out of 329 marijuana concentrate users, about 13% (n = 44) reported daily/near daily use. Significant predictors of daily concentrate use included: living in recreational states (AOR = 3.59, adj. p = .020) and using concentrates for therapeutic purposes (AOR = 4.34, adj. p = .020). Living in states with more liberal marijuana policies is associated with greater likelihood of marijuana concentrate use and with more frequent use. Characteristics of daily users, in particular, patterns of therapeutic use warrant further research with community-recruited samples. Copyright © 2018 Elsevier B.V. All rights reserved.

Exploring physician specialist response rates to web-based surveys.

PubMed

Cunningham, Ceara Tess; Quan, Hude; Hemmelgarn, Brenda; Noseworthy, Tom; Beck, Cynthia A; Dixon, Elijah; Samuel, Susan; Ghali, William A; Sykes, Lindsay L; Jetté, Nathalie

2015-04-09

Survey research in healthcare is an important tool to collect information about healthcare delivery, service use and overall issues relating to quality of care. Unfortunately, physicians are often a group with low survey response rates and little research has looked at response rates among physician specialists. For these reasons, the purpose of this project was to explore survey response rates among physician specialists in a large metropolitan Canadian city. As part of a larger project to look at physician payment plans, an online survey about medical billing practices was distributed to 904 physicians from various medical specialties. The primary method for physicians to complete the survey was via the Internet using a well-known and established survey company (www.surveymonkey.com). Multiple methods were used to encourage survey response such as individual personalized email invitations, multiple reminders, and a draw for three gift certificate prizes were used to increase response rate. Descriptive statistics were used to assess response rates and reasons for non-response. Overall survey response rate was 35.0%. Response rates varied by specialty: Neurology/neurosurgery (46.6%); internal medicine (42.9%); general surgery (29.6%); pediatrics (29.2%); and psychiatry (27.1%). Non-respondents listed lack of time/survey burden as the main reason for not responding to our survey. Our survey results provide a look into the challenges of collecting healthcare research where response rates to surveys are often low. The findings presented here should help researchers in planning future survey based studies. Findings from this study and others suggest smaller monetary incentives for each individual may be a more appropriate way to increase response rates.

Written institutional ethics policies on euthanasia: an empirical-based organizational-ethical framework.

PubMed

Lemiengre, Joke; Dierckx de Casterlé, Bernadette; Schotsmans, Paul; Gastmans, Chris

2014-05-01

As euthanasia has become a widely debated issue in many Western countries, hospitals and nursing homes especially are increasingly being confronted with this ethically sensitive societal issue. The focus of this paper is how healthcare institutions can deal with euthanasia requests on an organizational level by means of a written institutional ethics policy. The general aim is to make a critical analysis whether these policies can be considered as organizational-ethical instruments that support healthcare institutions to take their institutional responsibility for dealing with euthanasia requests. By means of an interpretative analysis, we conducted a process of reinterpretation of results of former Belgian empirical studies on written institutional ethics policies on euthanasia in dialogue with the existing international literature. The study findings revealed that legal regulations, ethical and care-oriented aspects strongly affected the development, the content, and the impact of written institutional ethics policies on euthanasia. Hence, these three cornerstones-law, care and ethics-constituted the basis for the empirical-based organizational-ethical framework for written institutional ethics policies on euthanasia that is presented in this paper. However, having a euthanasia policy does not automatically lead to more legal transparency, or to a more professional and ethical care practice. The study findings suggest that the development and implementation of an ethics policy on euthanasia as an organizational-ethical instrument should be considered as a dynamic process. Administrators and ethics committees must take responsibility to actively create an ethical climate supporting care providers who have to deal with ethical dilemmas in their practice.

Building Assessment Survey and Evaluation Data (BASE)

EPA Pesticide Factsheets

The Building Assessment Survey and Evaluation (BASE) study was a five year study to characterize determinants of indoor air quality and occupant perceptions in representative public and commercial office buildings across the U.S. This data source is the raw data from this study about the indoor air quality.

Achilles tendons from decorin- and biglycan-null mouse models have inferior mechanical and structural properties predicted by an image-based empirical damage model

PubMed Central

Gordon, J.A.; Freedman, B.R.; Zuskov, A.; Iozzo, R.V.; Birk, D.E.; Soslowsky, L.J.

2015-01-01

Achilles tendons are a common source of pain and injury, and their pathology may originate from aberrant structure function relationships. Small leucine rich proteoglycans (SLRPs) influence mechanical and structural properties in a tendon-specific manner. However, their roles in the Achilles tendon have not been defined. The objective of this study was to evaluate the mechanical and structural differences observed in mouse Achilles tendons lacking class I SLRPs; either decorin or biglycan. In addition, empirical modeling techniques based on mechanical and image-based measures were employed. Achilles tendons from decorin-null (Dcn−/−) and biglycan-null (Bgn−/−) C57BL/6 female mice (N=102) were used. Each tendon underwent a dynamic mechanical testing protocol including simultaneous polarized light image capture to evaluate both structural and mechanical properties of each Achilles tendon. An empirical damage model was adapted for application to genetic variation and for use with image based structural properties to predict tendon dynamic mechanical properties. We found that Achilles tendons lacking decorin and biglycan had inferior mechanical and structural properties that were age dependent; and that simple empirical models, based on previously described damage models, were predictive of Achilles tendon dynamic modulus in both decorin- and biglycan-null mice. PMID:25888014

Achilles tendons from decorin- and biglycan-null mouse models have inferior mechanical and structural properties predicted by an image-based empirical damage model.

PubMed

Gordon, J A; Freedman, B R; Zuskov, A; Iozzo, R V; Birk, D E; Soslowsky, L J

2015-07-16

Achilles tendons are a common source of pain and injury, and their pathology may originate from aberrant structure function relationships. Small leucine rich proteoglycans (SLRPs) influence mechanical and structural properties in a tendon-specific manner. However, their roles in the Achilles tendon have not been defined. The objective of this study was to evaluate the mechanical and structural differences observed in mouse Achilles tendons lacking class I SLRPs; either decorin or biglycan. In addition, empirical modeling techniques based on mechanical and image-based measures were employed. Achilles tendons from decorin-null (Dcn(-/-)) and biglycan-null (Bgn(-/-)) C57BL/6 female mice (N=102) were used. Each tendon underwent a dynamic mechanical testing protocol including simultaneous polarized light image capture to evaluate both structural and mechanical properties of each Achilles tendon. An empirical damage model was adapted for application to genetic variation and for use with image based structural properties to predict tendon dynamic mechanical properties. We found that Achilles tendons lacking decorin and biglycan had inferior mechanical and structural properties that were age dependent; and that simple empirical models, based on previously described damage models, were predictive of Achilles tendon dynamic modulus in both decorin- and biglycan-null mice. Copyright © 2015 Elsevier Ltd. All rights reserved.

Knowledge, Attitudes, and Practices Regarding Zika: Paper- and Internet-Based Survey in Zhejiang, China

PubMed Central

Wang, Lei; Zhao, Yushui; Liu, He; Yao, Dingming; Xu, Yue; Lv, Qiaohong; Hao, Gang; Xu, Yan

2017-01-01

Background As public access to the Internet increases, many health workers prefer to carry out health education online, reducing the use of traditional community-based health education methods. Since March 2016, four Zika cases have been confirmed in Zhejiang, China. Rapid assessment of people’s knowledge, attitudes, and practices (KAP) regarding Zika is crucial to its prevention and control. Web-based surveys to assess public KAP may be a growing trend; however, we had little experience with this method. Objectives The aim of this study was to explore KAP regarding Zika in residents of Zhejiang using both traditional paper- and innovative Internet-based investigations. Methods A questionnaire was designed by Zhejiang Provincial Center for Disease Control and Prevention. A paper-based version of the survey was used in a cross-sectional community study following multistage cluster random sampling, and an Internet-based survey was promoted through a local health education site. Data were interpreted via univariate and multivariate analyses. Results A total of 447 community residents participated in the paper-based survey, with a response rate of 89.4% (447/500), and 621 eligible Internet users participated in the Internet-based survey, with a response rate of 36.92% (621/1682). Age, education level, and occupation differed significantly between participants in the paper- and Internet-based surveys. Participants completing the Internet-based survey were much younger (χ22=144.7, P<.001) and had a higher level of education (χ22=423.5, P<.001) than those completing the paper-based survey. Among participants completing the paper-based survey, there were more farmers, housewives, and unemployed people (χ23=413.7, P<.001). Overall, 83.52% of participants (892/1068) knew the transmission route for Zika, 76.12% (813/1068) knew that pregnant women were at high risk of severe complications, 66.39% (709/1068) knew that contracting Zika during pregnancy could lead to newborn

Signal enhancement based on complex curvelet transform and complementary ensemble empirical mode decomposition

NASA Astrophysics Data System (ADS)

Dong, Lieqian; Wang, Deying; Zhang, Yimeng; Zhou, Datong

2017-09-01

Signal enhancement is a necessary step in seismic data processing. In this paper we utilize the complementary ensemble empirical mode decomposition (CEEMD) and complex curvelet transform (CCT) methods to separate signal from random noise further to improve the signal to noise (S/N) ratio. Firstly, the original data with noise is decomposed into a series of intrinsic mode function (IMF) profiles with the aid of CEEMD. Then the IMFs with noise are transformed into CCT domain. By choosing different thresholds which are based on the noise level difference of each IMF profile, the noise in original data can be suppressed. Finally, we illustrate the effectiveness of the approach by simulated and field datasets.

Empirical Bayes estimation of undercount in the decennial census.

PubMed

Cressie, N

1989-12-01

Empirical Bayes methods are used to estimate the extent of the undercount at the local level in the 1980 U.S. census. "Grouping of like subareas from areas such as states, counties, and so on into strata is a useful way of reducing the variance of undercount estimators. By modeling the subareas within a stratum to have a common mean and variances inversely proportional to their census counts, and by taking into account sampling of the areas (e.g., by dual-system estimation), empirical Bayes estimators that compromise between the (weighted) stratum average and the sample value can be constructed. The amount of compromise is shown to depend on the relative importance of stratum variance to sampling variance. These estimators are evaluated at the state level (51 states, including Washington, D.C.) and stratified on race/ethnicity (3 strata) using data from the 1980 postenumeration survey (PEP 3-8, for the noninstitutional population)." excerpt

An empirical and model study on automobile market in Taiwan

NASA Astrophysics Data System (ADS)

Tang, Ji-Ying; Qiu, Rong; Zhou, Yueping; He, Da-Ren

2006-03-01

We have done an empirical investigation on automobile market in Taiwan including the development of the possession rate of the companies in the market from 1979 to 2003, the development of the largest possession rate, and so on. A dynamic model for describing the competition between the companies is suggested based on the empirical study. In the model each company is given a long-term competition factor (such as technology, capital and scale) and a short-term competition factor (such as management, service and advertisement). Then the companies play games in order to obtain more possession rate in the market under certain rules. Numerical simulation based on the model display a competition developing process, which qualitatively and quantitatively agree with our empirical investigation results.

Empirical and targeted therapy of candidemia with fluconazole versus echinocandins: a propensity score-derived analysis of a population-based, multicentre prospective cohort.

PubMed

López-Cortés, L E; Almirante, B; Cuenca-Estrella, M; Garnacho-Montero, J; Padilla, B; Puig-Asensio, M; Ruiz-Camps, I; Rodríguez-Baño, J

2016-08-01

We compared the clinical efficacy of fluconazole and echinocandins in the treatment of candidemia in real practice. The CANDIPOP study is a prospective, population-based cohort study on candidemia carried out between May 2010 and April 2011 in 29 Spanish hospitals. Using strict inclusion criteria, we separately compared the impact of empirical and targeted therapy with fluconazole or echinocandins on 30-day mortality. Cox regression, including a propensity score (PS) for receiving echinocandins, stratified analysis on the PS quartiles and PS-based matched analyses, were performed. The empirical and targeted therapy cohorts comprised 316 and 421 cases, respectively; 30-day mortality was 18.7% with fluconazole and 33.9% with echinocandins (p 0.02) in the empirical therapy group and 19.8% with fluconazole and 27.7% with echinocandins (p 0.06) in the targeted therapy group. Multivariate Cox regression analysis including PS showed that empirical therapy with fluconazole was associated with better prognosis (adjusted hazard ratio 0.38; 95% confidence interval 0.17-0.81; p 0.01); no differences were found within each PS quartile or in cases matched according to PS. Targeted therapy with fluconazole did not show a significant association with mortality in the Cox regression analysis (adjusted hazard ratio 0.77; 95% confidence interval 0.41-1.46; p 0.63), in the PS quartiles or in PS-matched cases. The results were similar among patients with severe sepsis and septic shock. Empirical or targeted treatment with fluconazole was not associated with increased 30-day mortality compared to echinocandins among adults with candidemia. Copyright © 2016 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

A survey of GPU-based medical image computing techniques

PubMed Central

Shi, Lin; Liu, Wen; Zhang, Heye; Xie, Yongming

2012-01-01

Medical imaging currently plays a crucial role throughout the entire clinical applications from medical scientific research to diagnostics and treatment planning. However, medical imaging procedures are often computationally demanding due to the large three-dimensional (3D) medical datasets to process in practical clinical applications. With the rapidly enhancing performances of graphics processors, improved programming support, and excellent price-to-performance ratio, the graphics processing unit (GPU) has emerged as a competitive parallel computing platform for computationally expensive and demanding tasks in a wide range of medical image applications. The major purpose of this survey is to provide a comprehensive reference source for the starters or researchers involved in GPU-based medical image processing. Within this survey, the continuous advancement of GPU computing is reviewed and the existing traditional applications in three areas of medical image processing, namely, segmentation, registration and visualization, are surveyed. The potential advantages and associated challenges of current GPU-based medical imaging are also discussed to inspire future applications in medicine. PMID:23256080

Perceptions and Experiences of Research Participants on Gender-Based Violence Community Based Survey: Implications for Ethical Guidelines

PubMed Central

Sikweyiya, Yandisa; Jewkes, Rachel

2012-01-01

Objective To explore how survey respondents perceived their experiences and the impact of participating in a survey, and to assess adverse consequences resulting from participation. Design Qualitative study involving purposefully selected participants who had participated in a household-based survey. Methods This qualitative study was nested within a survey that investigated the prevalence of gender-based violence perpetration and victimization with adult men and women in South Africa. 13 male- and 10 female-in-depth interviews were conducted with survey respondents. Results A majority of informants, without gender-differences, perceived the survey interview as a rare opportunity to share their adverse and or personal experiences in a 'safe' space. Gender-differences were noted in reporting perceptions of risks involved with survey participation. Some women remained fearful after completing the survey, that should breach of confidentiality or full survey content disclosure occur, they may be victimized by partners as a punishment for survey participation without men's approval. A number of informants generally discussed their survey participation with others. However, among women with interpersonal violence history or currently in abusive relationships, full survey content disclosure was done with fear; the partner responses were negative, and few women reported receiving threatening remarks but none reported being assaulted. In contrast no man reported adverse reaction by others. Informants with major life adversities reported that the survey had made them to relive the experiences causing them sadness and pain at the time. No informant perceived the survey as emotionally harmful or needed professional support because of survey questions. Rather the vast majority perceived benefit from survey participation. Conclusion Whilst no informant felt answering the survey questions had caused them emotional or physical harm, some were distressed and anxious, albeit

The Problem of Empirical Redundancy of Constructs in Organizational Research: An Empirical Investigation

ERIC Educational Resources Information Center

Le, Huy; Schmidt, Frank L.; Harter, James K.; Lauver, Kristy J.

2010-01-01

Construct empirical redundancy may be a major problem in organizational research today. In this paper, we explain and empirically illustrate a method for investigating this potential problem. We applied the method to examine the empirical redundancy of job satisfaction (JS) and organizational commitment (OC), two well-established organizational…

Empirical prediction of mechanical properties of flexible pavement through GPR

NASA Astrophysics Data System (ADS)

Bianchini Ciampoli, Luca; Benedetto, Andrea

2017-04-01

To date, it is well known that the frequency of accidental events recorded on a road, is related to the deterioration rate of its pavement. In this sense, the monitoring of the pavement health over a road network is a crucial task for the administrations, to define a priority scale for maintenance works, and accordingly to lower the risk of accidents. Several studies suggest the possibility to employ Ground-penetrating Radar (GPR) to overcome the limits of traditional bearing tests, which due to their low productivity and high costs, can only give a discrete knowledge about the strength of the pavement. This work presents a GPR-based empirical model for the prediction of the bearing capacity of a road pavement, expressed as Young's Modulus. The model exploits the GPR to extract information on the thickness of the base course and the clay content, by referring to the signal velocity and attenuation, respectively. To test the effectiveness of the model, experimental activities have been accounted for. In particular, multi-frequency GPR tests have been performed along road sections of rural roads, composed of a flexible pavement, for a total of 45 Km. As ground-truth, light falling weight deflectometer (LFWD) and Curviameter have been employed. Both the electromagnetic and the mechanical datasets have been properly processed, in order to reduce misinterpretations and to raise the statistical significance of the procedure. Hence, the calibration of the parameters composing the model was run in a subsection, equal to 8% of the total length, randomly selected within the surveyed track. Finally, as validation, the model has been applied to the whole analysed dataset. As a result, the empirical model showed a good effectiveness in predicting the mechanical response of the pavement, with a normalised root mean squared deviation equal to 0.27. Finally, by averaging the measured and predicted mechanical data every 50 m and sorting the results into strength classes, a

An all-atom structure-based potential for proteins: bridging minimal models with all-atom empirical forcefields.

PubMed

Whitford, Paul C; Noel, Jeffrey K; Gosavi, Shachi; Schug, Alexander; Sanbonmatsu, Kevin Y; Onuchic, José N

2009-05-01

Protein dynamics take place on many time and length scales. Coarse-grained structure-based (Go) models utilize the funneled energy landscape theory of protein folding to provide an understanding of both long time and long length scale dynamics. All-atom empirical forcefields with explicit solvent can elucidate our understanding of short time dynamics with high energetic and structural resolution. Thus, structure-based models with atomic details included can be used to bridge our understanding between these two approaches. We report on the robustness of folding mechanisms in one such all-atom model. Results for the B domain of Protein A, the SH3 domain of C-Src Kinase, and Chymotrypsin Inhibitor 2 are reported. The interplay between side chain packing and backbone folding is explored. We also compare this model to a C(alpha) structure-based model and an all-atom empirical forcefield. Key findings include: (1) backbone collapse is accompanied by partial side chain packing in a cooperative transition and residual side chain packing occurs gradually with decreasing temperature, (2) folding mechanisms are robust to variations of the energetic parameters, (3) protein folding free-energy barriers can be manipulated through parametric modifications, (4) the global folding mechanisms in a C(alpha) model and the all-atom model agree, although differences can be attributed to energetic heterogeneity in the all-atom model, and (5) proline residues have significant effects on folding mechanisms, independent of isomerization effects. Because this structure-based model has atomic resolution, this work lays the foundation for future studies to probe the contributions of specific energetic factors on protein folding and function.

An All-atom Structure-Based Potential for Proteins: Bridging Minimal Models with All-atom Empirical Forcefields

PubMed Central

Whitford, Paul C.; Noel, Jeffrey K.; Gosavi, Shachi; Schug, Alexander; Sanbonmatsu, Kevin Y.; Onuchic, José N.

2012-01-01

Protein dynamics take place on many time and length scales. Coarse-grained structure-based (Gō) models utilize the funneled energy landscape theory of protein folding to provide an understanding of both long time and long length scale dynamics. All-atom empirical forcefields with explicit solvent can elucidate our understanding of short time dynamics with high energetic and structural resolution. Thus, structure-based models with atomic details included can be used to bridge our understanding between these two approaches. We report on the robustness of folding mechanisms in one such all-atom model. Results for the B domain of Protein A, the SH3 domain of C-Src Kinase and Chymotrypsin Inhibitor 2 are reported. The interplay between side chain packing and backbone folding is explored. We also compare this model to a Cα structure-based model and an all-atom empirical forcefield. Key findings include 1) backbone collapse is accompanied by partial side chain packing in a cooperative transition and residual side chain packing occurs gradually with decreasing temperature 2) folding mechanisms are robust to variations of the energetic parameters 3) protein folding free energy barriers can be manipulated through parametric modifications 4) the global folding mechanisms in a Cα model and the all-atom model agree, although differences can be attributed to energetic heterogeneity in the all-atom model 5) proline residues have significant effects on folding mechanisms, independent of isomerization effects. Since this structure-based model has atomic resolution, this work lays the foundation for future studies to probe the contributions of specific energetic factors on protein folding and function. PMID:18837035

Empirical analysis of pig welfare levels and their impact on pig breeding efficiency-Based on 773 pig farmers' survey data.

PubMed

Li, Yanling; Wu, Nanjun; Xu, Rong; Li, Liqing; Zhou, Wei; Zhou, Xianjun

2017-01-01

Few studies of the pig production efficiency are from the perspective of animal welfare. Therefore, this study conducted a comprehensive evaluation of pig welfare levels based on survey data from 773 pig farmers from 23 counties in the Chinese provinces of Hunan, Zhejiang, Guangdong, Guizhou, and Shanxi. This study used the Delphi method, Analytic Hierarchy Process (AHP), and Data Envelopment Analysis (DEA)-Tobit regression model to analyze farmers' pig production efficiency and its influencing factors. This paper found that most farmers' pig production efficiency is low, and the DEA is invalid. Only 2.9% of pig farmers' who breed pigs are at the optimal level in terms of welfare, and their production efficiency is relatively high. In contrast, 49.34% of the farmers are at the medium welfare level, and compared with the farmers at the optimal welfare level, these farmers' pig production efficiency is low. Additionally, the farmers' age, gender, and number of years of experience with pig breeding have a significant effect. Furthermore, the scale of pig breeding and feeding type, the agriculture facilities for the central treatment of waste in local areas, and the availability of local agricultural science and technology personnel have a considerable influence on pig production efficiency.

Comparison of ensemble post-processing approaches, based on empirical and dynamical error modelisation of rainfall-runoff model forecasts

NASA Astrophysics Data System (ADS)

Chardon, J.; Mathevet, T.; Le Lay, M.; Gailhard, J.

2012-04-01

In the context of a national energy company (EDF : Electricité de France), hydro-meteorological forecasts are necessary to ensure safety and security of installations, meet environmental standards and improve water ressources management and decision making. Hydrological ensemble forecasts allow a better representation of meteorological and hydrological forecasts uncertainties and improve human expertise of hydrological forecasts, which is essential to synthesize available informations, coming from different meteorological and hydrological models and human experience. An operational hydrological ensemble forecasting chain has been developed at EDF since 2008 and is being used since 2010 on more than 30 watersheds in France. This ensemble forecasting chain is characterized ensemble pre-processing (rainfall and temperature) and post-processing (streamflow), where a large human expertise is solicited. The aim of this paper is to compare 2 hydrological ensemble post-processing methods developed at EDF in order improve ensemble forecasts reliability (similar to Monatanari &Brath, 2004; Schaefli et al., 2007). The aim of the post-processing methods is to dress hydrological ensemble forecasts with hydrological model uncertainties, based on perfect forecasts. The first method (called empirical approach) is based on a statistical modelisation of empirical error of perfect forecasts, by streamflow sub-samples of quantile class and lead-time. The second method (called dynamical approach) is based on streamflow sub-samples of quantile class and streamflow variation, and lead-time. On a set of 20 watersheds used for operational forecasts, results show that both approaches are necessary to ensure a good post-processing of hydrological ensemble, allowing a good improvement of reliability, skill and sharpness of ensemble forecasts. The comparison of the empirical and dynamical approaches shows the limits of the empirical approach which is not able to take into account hydrological

Comparisons of ground motions from the 1999 Chi-Chi, earthquake with empirical predictions largely based on data from California

USGS Publications Warehouse

Boore, D.M.

2001-01-01

This article has the modest goal of comparing the ground motions recorded during the 1999 Chi-Chi, Taiwan, mainshock with predictions from four empirical-based equations commonly used for western North America; these empirical predictions are largely based on data from California. Comparisons are made for peak acceleration and 5%-damped response spectra at periods between 0.1 and 4 sec. The general finding is that the Chi-Chi ground motions are smaller than those predicted from the empirically based equations for periods less than about 1 sec by factors averaging about 0.4 but as small as 0.26 (depending on period, on which equation is used, and on whether the sites are assumed to be rock or soil). There is a trend for the observed motions to approach or even exceed the predicted motions for longer periods. Motions at similar distances (30-60 km) to the east and to the west of the fault differ dramatically at periods between about 2 and 20 sec: Long-duration wave trains are present on the motions to the west, and when normalized to similar amplitudes at short periods, the response spectra of the motions at the western stations are as much as five times larger than those of motions from eastern stations. The explanation for the difference is probably related to site and propagation effects; the western stations are on the Coastal Plain, whereas the eastern stations are at the foot of young and steep mountains, either in the relatively narrow Longitudinal Valley or along the eastern coast-the sediments underlying the eastern stations are probably shallower and have higher velocity than those under the western stations.

Understanding the organization of public health delivery systems: an empirical typology.

PubMed

Mays, Glen P; Scutchfield, F Douglas; Bhandari, Michelyn W; Smith, Sharla A

2010-03-01

Policy discussions about improving the U.S. health care system increasingly recognize the need to strengthen its capacities for delivering public health services. A better understanding of how public health delivery systems are organized across the United States is critical to improvement. To facilitate the development of such evidence, this article presents an empirical method of classifying and comparing public health delivery systems based on key elements of their organizational structure. This analysis uses data collected through a national longitudinal survey of local public health agencies serving communities with at least 100,000 residents. The survey measured the availability of twenty core public health activities in local communities and the types of organizations contributing to each activity. Cluster analysis differentiated local delivery systems based on the scope of activities delivered, the range of organizations contributing, and the distribution of effort within the system. Public health delivery systems varied widely in organizational structure, but the observed patterns of variation suggested that systems adhere to one of seven distinct configurations. Systems frequently migrated from one configuration to another over time, with an overall trend toward offering a broader scope of services and engaging a wider range of organizations. Public health delivery systems exhibit important structural differences that may influence their operations and outcomes. The typology developed through this analysis can facilitate comparative studies to identify which delivery system configurations perform best in which contexts.

Empirically based device modeling of bulk heterojunction organic photovoltaics

NASA Astrophysics Data System (ADS)

Pierre, Adrien; Lu, Shaofeng; Howard, Ian A.; Facchetti, Antonio; Arias, Ana Claudia

2013-04-01

We develop an empirically based optoelectronic model to accurately simulate the photocurrent in organic photovoltaic (OPV) devices with novel materials including bulk heterojunction OPV devices based on a new low band gap dithienothiophene-DPP donor polymer, P(TBT-DPP), blended with PC70BM at various donor-acceptor weight ratios and solvent compositions. Our devices exhibit power conversion efficiencies ranging from 1.8% to 4.7% at AM 1.5G. Electron and hole mobilities are determined using space-charge limited current measurements. Bimolecular recombination coefficients are both analytically calculated using slowest-carrier limited Langevin recombination and measured using an electro-optical pump-probe technique. Exciton quenching efficiencies in the donor and acceptor domains are determined from photoluminescence spectroscopy. In addition, dielectric and optical constants are experimentally determined. The photocurrent and its bias-dependence that we simulate using the optoelectronic model we develop, which takes into account these physically measured parameters, shows less than 7% error with respect to the experimental photocurrent (when both experimentally and semi-analytically determined recombination coefficient is used). Free carrier generation and recombination rates of the photocurrent are modeled as a function of the position in the active layer at various applied biases. These results show that while free carrier generation is maximized in the center of the device, free carrier recombination is most dominant near the electrodes even in high performance devices. Such knowledge of carrier activity is essential for the optimization of the active layer by enhancing light trapping and minimizing recombination. Our simulation program is intended to be freely distributed for use in laboratories fabricating OPV devices.

[Survey of pain after ambulatory surgery: An internet-based instrument].

PubMed

Schwarze, C; Zenz, D; Orlowski, O; Wempe, C; Van Aken, H; Zahn, P; Maier, C; Pogatzki-Zahn, E M

2016-04-01

Pain after surgery continues to be undermanaged. Studies and initiatives aiming to improve the management of postoperative pain are growing; however, most studies focus on inpatients and pain on the first day after surgery. The management of postoperative pain after ambulatory surgery and for several days thereafter is not yet a major focus. One reason is the low return rate of the questionnaires in the ambulatory sector. This article reports the development and feasibility of a web-based electronic data collection system to examine pain and pain-related outcome on predefined postoperative days after ambulatory surgery. In this prospective pilot study 127 patients scheduled for ambulatory surgery were asked to participate in a survey to evaluate aspects related to pain after ambulatory surgery. The data survey was divided in (1) a preoperative, intraoperative and postoperative part and (2) a postoperative internet-based electronic questionnaire which was sent via e-mail link to the patient on days 1, 3 and 7 after surgery. A software was developed using a PHP-based platform to send e-mails and retrieve the data after web-based entries via a local browser. Feasibility, internet-based hitches and compliance were assessed by an additional telephone call after day 7. A total of 100 patients (50 female) between 18 and 71 years (mean 39.1 ± 12.7 years) were included in the pilot study. Return rates of the electronic questionnaires were 86% (days 3 and 7) and 91% (day 1 after surgery). All 3 electronic questionnaires were answered by 82% of patients. Aspects influencing the return rate of questionnaires were work status but not age, gender, education level and preoperative pain. Telephone interviews were performed with 81 patients and revealed high operability of the internet-based survey without any major problems. The user-friendly feasibility and operability of this internet-based electronic data survey system explain the high compliance and return rate of

Simulating the Performance of Ground-Based Optical Asteroid Surveys

NASA Astrophysics Data System (ADS)

Christensen, Eric J.; Shelly, Frank C.; Gibbs, Alex R.; Grauer, Albert D.; Hill, Richard E.; Johnson, Jess A.; Kowalski, Richard A.; Larson, Stephen M.

2014-11-01

We are developing a set of asteroid survey simulation tools in order to estimate the capability of existing and planned ground-based optical surveys, and to test a variety of possible survey cadences and strategies. The survey simulator is composed of several layers, including a model population of solar system objects and an orbital integrator, a site-specific atmospheric model (including inputs for seeing, haze and seasonal cloud cover), a model telescope (with a complete optical path to estimate throughput), a model camera (including FOV, pixel scale, and focal plane fill factor) and model source extraction and moving object detection layers with tunable detection requirements. We have also developed a flexible survey cadence planning tool to automatically generate nightly survey plans. Inputs to the cadence planner include camera properties (FOV, readout time), telescope limits (horizon, declination, hour angle, lunar and zenithal avoidance), preferred and restricted survey regions in RA/Dec, ecliptic, and Galactic coordinate systems, and recent coverage by other asteroid surveys. Simulated surveys are created for a subset of current and previous NEO surveys (LINEAR, Pan-STARRS and the three Catalina Sky Survey telescopes), and compared against the actual performance of these surveys in order to validate the model’s performance. The simulator tracks objects within the FOV of any pointing that were not discovered (e.g. too few observations, too trailed, focal plane array gaps, too fast or slow), thus dividing the population into “discoverable” and “discovered” subsets, to inform possible survey design changes. Ongoing and future work includes generating a realistic “known” subset of the model NEO population, running multiple independent simulated surveys in coordinated and uncoordinated modes, and testing various cadences to find optimal strategies for detecting NEO sub-populations. These tools can also assist in quantifying the efficiency of novel

Designing a space-based galaxy redshift survey to probe dark energy

NASA Astrophysics Data System (ADS)

Wang, Yun; Percival, Will; Cimatti, Andrea; Mukherjee, Pia; Guzzo, Luigi; Baugh, Carlton M.; Carbone, Carmelita; Franzetti, Paolo; Garilli, Bianca; Geach, James E.; Lacey, Cedric G.; Majerotto, Elisabetta; Orsi, Alvaro; Rosati, Piero; Samushia, Lado; Zamorani, Giovanni

2010-12-01

A space-based galaxy redshift survey would have enormous power in constraining dark energy and testing general relativity, provided that its parameters are suitably optimized. We study viable space-based galaxy redshift surveys, exploring the dependence of the Dark Energy Task Force (DETF) figure-of-merit (FoM) on redshift accuracy, redshift range, survey area, target selection and forecast method. Fitting formulae are provided for convenience. We also consider the dependence on the information used: the full galaxy power spectrum P(k), P(k) marginalized over its shape, or just the Baryon Acoustic Oscillations (BAO). We find that the inclusion of growth rate information (extracted using redshift space distortion and galaxy clustering amplitude measurements) leads to a factor of ~3 improvement in the FoM, assuming general relativity is not modified. This inclusion partially compensates for the loss of information when only the BAO are used to give geometrical constraints, rather than using the full P(k) as a standard ruler. We find that a space-based galaxy redshift survey covering ~20000deg2 over with σz/(1 + z) <= 0.001 exploits a redshift range that is only easily accessible from space, extends to sufficiently low redshifts to allow both a vast 3D map of the universe using a single tracer population, and overlaps with ground-based surveys to enable robust modelling of systematic effects. We argue that these parameters are close to their optimal values given current instrumental and practical constraints.

Empirical State Error Covariance Matrix for Batch Estimation

NASA Technical Reports Server (NTRS)

Frisbee, Joe

2015-01-01

State estimation techniques effectively provide mean state estimates. However, the theoretical state error covariance matrices provided as part of these techniques often suffer from a lack of confidence in their ability to describe the uncertainty in the estimated states. By a reinterpretation of the equations involved in the weighted batch least squares algorithm, it is possible to directly arrive at an empirical state error covariance matrix. The proposed empirical state error covariance matrix will contain the effect of all error sources, known or not. This empirical error covariance matrix may be calculated as a side computation for each unique batch solution. Results based on the proposed technique will be presented for a simple, two observer and measurement error only problem.

A Behaviorally Specific, Empirical Alternative to Bullying: Aggravated Peer Victimization.

PubMed

Finkelhor, David; Shattuck, Anne; Turner, Heather; Hamby, Sherry

2016-11-01

To test a behaviorally specific measure of serious peer victimization, called aggravated peer victimization (APV), using empirically derived aggravating elements of episodes (injury, weapon, bias content, sexual content, multiple perpetrators, and multiple contexts) and compare this measure with the conventional Olweus bullying (OB) measure, which uses repetition and power imbalance as its seriousness criteria. The data for this study come from The National Survey of Children's Exposure to Violence 2014, a study conducted via telephone interviews with a nationally representative sample. This analysis uses the 1,949 youth ages 10-17 from that survey. The APV measure identified twice as many youth with serious episodes involving injury, weapons, sexual assaults, and bias content as the OB measure. In terms of demographic and social characteristics, the groups were very similar. However, the APV explained significantly more of the variation in distress than the OB (R 2  = .19 vs. .12). An empirical approach to identifying the most serious incidents of peer victimization has advantages in identifying more of the youth suffering the effects of peer victimization. Moreover, its behaviorally specific criteria also bypass the difficult challenge of trying to reliably assess what is truly bullying with its ambiguous definitional element of power imbalance. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

[Priority setting and bedside rationing: a discussion of empirical findings].

PubMed

Strech, Daniel

2011-01-01

In addition to empirical forecasts on the extent of the current and future limitations on health care resources, empirical data on the status quo of bedside rationing play a significant role in developing suitable alternatives in dealing with limited financial resources. This article presents and discusses selected results of the international and German survey research on bedside rationing. Survey studies among physicians could prove world-wide that rationing decisions are made already today by individual physicians in the in- and out-patient services. In German hospitals, rationing is also a wide-spread though non-transparent and not (yet) very common phenomenon for an individual physician. Varying criteria for bedside rationing contribute to the fact that the current approach to bedside rationing leads to dissatisfaction on the part of physicians and to a potential disadvantage of certain patient groups. Explicit, i.e. transparent and systematic, ways of rationing could remedy these deficiencies and are therefore clearly preferable in this context. However, further specification of the methods of explicit rationing and a critical evaluation of their application in practice are needed. Moreover, it is mainly the quality of the underlying evidence that determines whether or not the actual decisions become more reasonable and fair by means of more explicit rationing approaches. Copyright © 2011 S. Karger AG, Basel.

Time-frequency analysis of neuronal populations with instantaneous resolution based on noise-assisted multivariate empirical mode decomposition.

PubMed

Alegre-Cortés, J; Soto-Sánchez, C; Pizá, Á G; Albarracín, A L; Farfán, F D; Felice, C J; Fernández, E

2016-07-15

Linear analysis has classically provided powerful tools for understanding the behavior of neural populations, but the neuron responses to real-world stimulation are nonlinear under some conditions, and many neuronal components demonstrate strong nonlinear behavior. In spite of this, temporal and frequency dynamics of neural populations to sensory stimulation have been usually analyzed with linear approaches. In this paper, we propose the use of Noise-Assisted Multivariate Empirical Mode Decomposition (NA-MEMD), a data-driven template-free algorithm, plus the Hilbert transform as a suitable tool for analyzing population oscillatory dynamics in a multi-dimensional space with instantaneous frequency (IF) resolution. The proposed approach was able to extract oscillatory information of neurophysiological data of deep vibrissal nerve and visual cortex multiunit recordings that were not evidenced using linear approaches with fixed bases such as the Fourier analysis. Texture discrimination analysis performance was increased when Noise-Assisted Multivariate Empirical Mode plus Hilbert transform was implemented, compared to linear techniques. Cortical oscillatory population activity was analyzed with precise time-frequency resolution. Similarly, NA-MEMD provided increased time-frequency resolution of cortical oscillatory population activity. Noise-Assisted Multivariate Empirical Mode Decomposition plus Hilbert transform is an improved method to analyze neuronal population oscillatory dynamics overcoming linear and stationary assumptions of classical methods. Copyright © 2016 Elsevier B.V. All rights reserved.

Understanding Participation in E-Learning in Organizations: A Large-Scale Empirical Study of Employees

ERIC Educational Resources Information Center

Garavan, Thomas N.; Carbery, Ronan; O'Malley, Grace; O'Donnell, David

2010-01-01

Much remains unknown in the increasingly important field of e-learning in organizations. Drawing on a large-scale survey of employees (N = 557) who had opportunities to participate in voluntary e-learning activities, the factors influencing participation in e-learning are explored in this empirical paper. It is hypothesized that key variables…

Familiarizing Students with the Empirically Supported Treatment Approaches for Childhood Problems.

ERIC Educational Resources Information Center

Wilkins, Victoria; Chambliss, Catherine

The clinical research literature exploring the efficacy of particular treatment approaches is reviewed with the intent to facilitate the training of counseling students. Empirically supported treatments (ESTs) is defined operationally as evidence-based treatments following the listing of empirically validated psychological treatments reported by…

Development of An Empirical Water Quality Model for Stormwater Based on Watershed Land Use in Puget Sound

DTIC Science & Technology

2007-03-29

Development of An Empirical Water Quality Model for Stormwater Based on Watershed Land Use in Puget Sound Valerie I. Cullinan, Christopher W. May...Systems Center, Bremerton, WA) Introduction The Sinclair and Dyes Inlet watershed is located on the west side of Puget Sound in Kitsap County...Washington, U.S.A. (Figure 1). The Puget Sound Naval Shipyard (PSNS), U.S Environmental Protection Agency (USEPA), the Washington State Department of

Adolescent preventive health and team-games-tournaments: five decades of evidence for an empirically based paradigm.

PubMed

Wodarski, John S; Feit, Marvin D

2011-01-01

The problematic behaviors of teenagers and the subsequent negative consequences are extensive and well documented: unwanted pregnancy, substance abuse, violent behavior, depression, and social and psychological consequences of unemployment. In this article, the authors review an approach that uses a cooperative learning, empirically based intervention that employs peers as teachers. This intervention of choice is Teams-Games-Tournaments (TGT), a paradigm backed by five decades of empirical support. The application of TGT in preventive health programs incorporates elements in common with other prevention programs that are based on a public health orientation and constitute the essential components of health education, that is, skills training and practice in applying skills. The TGT intervention supports the idea that children and adolescents from various socioeconomic classes, between the ages of 8 and 18 and in classrooms or groups ranging in size from 4 to 17 members, can work together for one another. TGT has been applied successfully in such diverse areas as adolescent development, sexuality education, psychoactive substance abuse education, anger control, coping with depression and suicide, nutrition, comprehensive employment preparation, and family intervention. This article reviews the extensive research on TGT using examples of successful projects in substance abuse, violence, and nutrition. Issues are raised that relate to the implementation of preventive health strategies for adolescents, including cognitive aspects, social and family networks, and intervention components.

Debris flow susceptibility assessment based on an empirical approach in the central region of South Korea

NASA Astrophysics Data System (ADS)

Kang, Sinhang; Lee, Seung-Rae

2018-05-01

Many debris flow spreading analyses have been conducted during recent decades to prevent damage from debris flows. An empirical approach that has been used in various studies on debris flow spreading has advantages such as simple data acquisition and good applicability for large areas. In this study, a GIS-based empirical model that was developed at the University of Lausanne (Switzerland) is used to assess the debris flow susceptibility. Study sites are classified based on the types of soil texture or geological conditions, which can indirectly consider geotechnical or rheological properties, to supplement the weaknesses of Flow-R which neglects local controlling factors. The mean travel angle for each classification is calculated from a debris flow inventory map. The debris flow susceptibility is assessed based on changes in the flow-direction algorithm, an inertial function with a 5-m DEM resolution. A simplified friction-limited model was applied to the runout distance analysis by using the appropriate travel angle for the corresponding classification with a velocity limit of 28 m/s. The most appropriate algorithm combinations that derived the highest average of efficiency and sensitivity for each classification are finally determined by applying a confusion matrix with the efficiency and the sensitivity to the results of the susceptibility assessment. The proposed schemes can be useful for debris flow susceptibility assessment in both the study area and the central region of Korea, which has similar environmental factors such as geological conditions, topography and rainfall characteristics to the study area.

Towards an Airframe Noise Prediction Methodology: Survey of Current Approaches

NASA Technical Reports Server (NTRS)

Farassat, Fereidoun; Casper, Jay H.

2006-01-01

In this paper, we present a critical survey of the current airframe noise (AFN) prediction methodologies. Four methodologies are recognized. These are the fully analytic method, CFD combined with the acoustic analogy, the semi-empirical method and fully numerical method. It is argued that for the immediate need of the aircraft industry, the semi-empirical method based on recent high quality acoustic database is the best available method. The method based on CFD and the Ffowcs William- Hawkings (FW-H) equation with penetrable data surface (FW-Hpds ) has advanced considerably and much experience has been gained in its use. However, more research is needed in the near future particularly in the area of turbulence simulation. The fully numerical method will take longer to reach maturity. Based on the current trends, it is predicted that this method will eventually develop into the method of choice. Both the turbulence simulation and propagation methods need to develop more for this method to become useful. Nonetheless, the authors propose that the method based on a combination of numerical and analytical techniques, e.g., CFD combined with FW-H equation, should also be worked on. In this effort, the current symbolic algebra software will allow more analytical approaches to be incorporated into AFN prediction methods.

Indigenous values and water markets: Survey insights from northern Australia

NASA Astrophysics Data System (ADS)

Nikolakis, William D.; Grafton, R. Quentin; To, Hang

2013-09-01

Drawing upon on the literature on Indigenous values to water, water markets and the empirical findings from a survey of 120 Indigenous and non-Indigenous respondents across northern Australia, the paper makes important qualitative and statistical comparisons between Indigenous and non-Indigenous values to water markets. The study is the first comparison of Indigenous and non-Indigenous values to water markets based on the same survey instrument. Key results from Indigenous respondents include: (1) water markets are held to be an acceptable approach to managing water; (2) markets must be carefully designed to protect customary and ecological values; (3) the allocation of water rights need to encompass equity considerations; and (4) water and land rights should not be separated even if this enhances efficiency, as it runs counter to Indigenous holistic values. Overall, the survey results provide the basis for a proposed adaptive decision loop, which allows decision makers to incorporate stakeholder values in water markets.

Evidence-based commissioning in the English NHS: who uses which sources of evidence? A survey 2010/2011

PubMed Central

Clarke, Aileen; Taylor-Phillips, Sian; Swan, Jacky; Gkeredakis, Emmanouil; Mills, Penny; Powell, John; Nicolini, Davide; Roginski, Claudia; Scarbrough, Harry; Grove, Amy

2013-01-01

Objectives To investigate types of evidence used by healthcare commissioners when making decisions and whether decisions were influenced by commissioners’ experience, personal characteristics or role at work. Design Cross-sectional survey of 345 National Health Service (NHS) staff members. Setting The study was conducted across 11 English Primary Care Trusts between 2010 and 2011. Participants A total of 440 staff involved in commissioning decisions and employed at NHS band 7 or above were invited to participate in the study. Of those, 345 (78%) completed all or a part of the survey. Main outcome measures Participants were asked to rate how important different sources of evidence (empirical or practical) were in a recent decision that had been made. Backwards stepwise logistic regression analyses were undertaken to assess the contributions of age, gender and professional background, as well as the years of experience in NHS commissioning, pay grade and work role. Results The extent to which empirical evidence was used for commissioning decisions in the NHS varied according to the professional background. Only 50% of respondents stated that clinical guidelines and cost-effectiveness evidence were important for healthcare decisions. Respondents were more likely to report use of empirical evidence if they worked in Public Health in comparison to other departments (p<0.0005, commissioning and contracts OR   0.32, 95%CI   0.18 to 0.57, finance OR  0.19, 95%CI 0.05 to 0.78, other departments OR 0.35, 95%CI 0.17 to 0.71) or if they were female (OR 1.8 95% CI 1.01 to 3.1) rather than male. Respondents were more likely to report use of practical evidence if they were more senior within the organisation (pay grade 8b or higher OR 2.7, 95%CI 1.4 to 5.3, p=0.004 in comparison to lower pay grades). Conclusions Those trained in Public Health appeared more likely to use external empirical evidence while those at higher pay scales were more likely to use practical

Evidence-based commissioning in the English NHS: who uses which sources of evidence? A survey 2010/2011.

PubMed

Clarke, Aileen; Taylor-Phillips, Sian; Swan, Jacky; Gkeredakis, Emmanouil; Mills, Penny; Powell, John; Nicolini, Davide; Roginski, Claudia; Scarbrough, Harry; Grove, Amy

2013-05-28

To investigate types of evidence used by healthcare commissioners when making decisions and whether decisions were influenced by commissioners' experience, personal characteristics or role at work. Cross-sectional survey of 345 National Health Service (NHS) staff members. The study was conducted across 11 English Primary Care Trusts between 2010 and 2011. A total of 440 staff involved in commissioning decisions and employed at NHS band 7 or above were invited to participate in the study. Of those, 345 (78%) completed all or a part of the survey. Participants were asked to rate how important different sources of evidence (empirical or practical) were in a recent decision that had been made. Backwards stepwise logistic regression analyses were undertaken to assess the contributions of age, gender and professional background, as well as the years of experience in NHS commissioning, pay grade and work role. The extent to which empirical evidence was used for commissioning decisions in the NHS varied according to the professional background. Only 50% of respondents stated that clinical guidelines and cost-effectiveness evidence were important for healthcare decisions. Respondents were more likely to report use of empirical evidence if they worked in Public Health in comparison to other departments (p<0.0005, commissioning and contracts OR   0.32, 95%CI   0.18 to 0.57, finance OR  0.19, 95%CI 0.05 to 0.78, other departments OR 0.35, 95%CI 0.17 to 0.71) or if they were female (OR 1.8 95% CI 1.01 to 3.1) rather than male. Respondents were more likely to report use of practical evidence if they were more senior within the organisation (pay grade 8b or higher OR 2.7, 95%CI 1.4 to 5.3, p=0.004 in comparison to lower pay grades). Those trained in Public Health appeared more likely to use external empirical evidence while those at higher pay scales were more likely to use practical evidence when making commissioning decisions. Clearly, National Institute for Clinical

Information Assurance in Saudi Organizations - An Empirical Study

NASA Astrophysics Data System (ADS)

Nabi, Syed Irfan; Mirza, Abdulrahman A.; Alghathbar, Khaled

This paper presents selective results of a survey conducted to find out the much needed insight into the status of information security in Saudi Arabian organizations. The purpose of this research is to give the state of information assurance in the Kingdom and to better understand the prevalent ground realities. The survey covered technical aspects of information security, risk management and information assurance management. The results provide deep insights in to the existing level of information assurance in various sectors that can be helpful in better understanding the intricate details of the prevalent information security in the Kingdom. Also, the results can be very useful for information assurance policy makers in the government as well as private sector organizations. There are few empirical studies on information assurance governance available in literature, especially about the Middle East and Saudi Arabia, therefore, the results are invaluable for information security researchers in improving the understanding of information assurance in this region and the Kingdom.

An empirical comparison of methods for analyzing correlated data from a discrete choice survey to elicit patient preference for colorectal cancer screening

PubMed Central

2012-01-01

Background A discrete choice experiment (DCE) is a preference survey which asks participants to make a choice among product portfolios comparing the key product characteristics by performing several choice tasks. Analyzing DCE data needs to account for within-participant correlation because choices from the same participant are likely to be similar. In this study, we empirically compared some commonly-used statistical methods for analyzing DCE data while accounting for within-participant correlation based on a survey of patient preference for colorectal cancer (CRC) screening tests conducted in Hamilton, Ontario, Canada in 2002. Methods A two-stage DCE design was used to investigate the impact of six attributes on participants' preferences for CRC screening test and willingness to undertake the test. We compared six models for clustered binary outcomes (logistic and probit regressions using cluster-robust standard error (SE), random-effects and generalized estimating equation approaches) and three models for clustered nominal outcomes (multinomial logistic and probit regressions with cluster-robust SE and random-effects multinomial logistic model). We also fitted a bivariate probit model with cluster-robust SE treating the choices from two stages as two correlated binary outcomes. The rank of relative importance between attributes and the estimates of β coefficient within attributes were used to assess the model robustness. Results In total 468 participants with each completing 10 choices were analyzed. Similar results were reported for the rank of relative importance and β coefficients across models for stage-one data on evaluating participants' preferences for the test. The six attributes ranked from high to low as follows: cost, specificity, process, sensitivity, preparation and pain. However, the results differed across models for stage-two data on evaluating participants' willingness to undertake the tests. Little within-patient correlation (ICC ≈ 0) was

An update on the "empirical turn" in bioethics: analysis of empirical research in nine bioethics journals.

PubMed

Wangmo, Tenzin; Hauri, Sirin; Gennet, Eloise; Anane-Sarpong, Evelyn; Provoost, Veerle; Elger, Bernice S

2018-02-07

A review of literature published a decade ago noted a significant increase in empirical papers across nine bioethics journals. This study provides an update on the presence of empirical papers in the same nine journals. It first evaluates whether the empirical trend is continuing as noted in the previous study, and second, how it is changing, that is, what are the characteristics of the empirical works published in these nine bioethics journals. A review of the same nine journals (Bioethics; Journal of Medical Ethics; Journal of Clinical Ethics; Nursing Ethics; Cambridge Quarterly of Healthcare Ethics; Hastings Center Report; Theoretical Medicine and Bioethics; Christian Bioethics; and Kennedy Institute of Ethics Journal) was conducted for a 12-year period from 2004 to 2015. Data obtained was analysed descriptively and using a non-parametric Chi-square test. Of the total number of original papers (N = 5567) published in the nine bioethics journals, 18.1% (n = 1007) collected and analysed empirical data. Journal of Medical Ethics and Nursing Ethics led the empirical publications, accounting for 89.4% of all empirical papers. The former published significantly more quantitative papers than qualitative, whereas the latter published more qualitative papers. Our analysis reveals no significant difference (χ2 = 2.857; p = 0.091) between the proportion of empirical papers published in 2004-2009 and 2010-2015. However, the increasing empirical trend has continued in these journals with the proportion of empirical papers increasing from 14.9% in 2004 to 17.8% in 2015. This study presents the current state of affairs regarding empirical research published nine bioethics journals. In the quarter century of data that is available about the nine bioethics journals studied in two reviews, the proportion of empirical publications continues to increase, signifying a trend towards empirical research in bioethics. The growing volume is mainly attributable to two

A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition

PubMed Central

Wang, Huaqing; Li, Ruitong; Tang, Gang; Yuan, Hongfang; Zhao, Qingliang; Cao, Xi

2014-01-01

A Compound fault signal usually contains multiple characteristic signals and strong confusion noise, which makes it difficult to separate week fault signals from them through conventional ways, such as FFT-based envelope detection, wavelet transform or empirical mode decomposition individually. In order to improve the compound faults diagnose of rolling bearings via signals’ separation, the present paper proposes a new method to identify compound faults from measured mixed-signals, which is based on ensemble empirical mode decomposition (EEMD) method and independent component analysis (ICA) technique. With the approach, a vibration signal is firstly decomposed into intrinsic mode functions (IMF) by EEMD method to obtain multichannel signals. Then, according to a cross correlation criterion, the corresponding IMF is selected as the input matrix of ICA. Finally, the compound faults can be separated effectively by executing ICA method, which makes the fault features more easily extracted and more clearly identified. Experimental results validate the effectiveness of the proposed method in compound fault separating, which works not only for the outer race defect, but also for the rollers defect and the unbalance fault of the experimental system. PMID:25289644

Effects of people-centred factors on enterprise resource planning implementation project success: empirical evidence from Sri Lanka

NASA Astrophysics Data System (ADS)

Wickramasinghe, Vathsala; Gunawardena, Vathsala

2010-08-01

Extant literature suggests people-centred factors as one of the major areas influencing enterprise resource planning (ERP) implementation project success. Yet, to date, few empirical studies attempted to validate the link between people-centred factors and ERP implementation project success. The purpose of this study is to empirically identify people-centred factors that are critical to ERP implementation projects in Sri Lanka. The study develops and empirically validates a framework for people-centred factors that influence the success of ERP implementation projects. Survey research methodology was used and collected data from 74 ERP implementation projects in Sri Lanka. The people-centred factors of 'project team competence', 'rewards' and 'communication and change' were found to predict significantly the ERP implementation project success.

An in-Depth Survey of Visible Light Communication Based Positioning Systems

PubMed Central

Do, Trong-Hop; Yoo, Myungsik

2016-01-01

While visible light communication (VLC) has become the candidate for the wireless technology of the 21st century due to its inherent advantages, VLC based positioning also has a great chance of becoming the standard approach to positioning. Within the last few years, many studies on VLC based positioning have been published, but there are not many survey works in this field. In this paper, an in-depth survey of VLC based positioning systems is provided. More than 100 papers ranging from pioneering papers to the state-of-the-art in the field were collected and classified based on the positioning algorithms, the types of receivers, and the multiplexing techniques. In addition, current issues and research trends in VLC based positioning are discussed. PMID:27187395

Understanding Transactional Distance in Web-Based Learning Environments: An Empirical Study

ERIC Educational Resources Information Center

Huang, Xiaoxia; Chandra, Aruna; DePaolo, Concetta A.; Simmons, Lakisha L.

2016-01-01

Transactional distance is an important pedagogical theory in distance education that calls for more empirical support. The purpose of this study was to verify the theory by operationalizing and examining the relationship of (1) dialogue, structure and learner autonomy to transactional distance, and (2) environmental factors and learner demographic…

Cannabinergic pain medicine: a concise clinical primer and survey of randomized-controlled trial results.

PubMed

Aggarwal, Sunil K

2013-02-01

This article attempts to cover pragmatic clinical considerations involved in the use of cannabinergic medicines in pain practice, including geographical and historical considerations, pharmacokinetics, pharmacodynamics, adverse effects, drug interactions, indications, and contraindications. Topics include molecular considerations such as the 10-fold greater abundance of cannabinoid type 1 receptors compared to µ-opioid receptors in the central nervous system and anatomic distributions of cannabinoid receptors in pain circuits. The article uses a narrative review methodology drawing from authoritative textbooks and journals of cannabinoid medicine, Food and Drug Administration-approved cannabinoid drug labels, and current and historical pain medicine literature to address core clinical considerations. To survey the current evidence base for pain management with cannabinergic medicines, a targeted PubMed search was performed to survey the percentage of positive and negative published randomized-controlled trial (RCT) results with this class of pain medicines, using appropriate search limit parameters and the keyword search string "cannabinoid OR cannabis-based AND pain." Of the 56 hits generated, 38 published RCTs met the survey criteria. Of these, 71% (27) concluded that cannabinoids had empirically demonstrable and statistically significant pain-relieving effects, whereas 29% (11) did not. Cannabis and other cannabinergic medicines' efficacies for relieving pain have been studied in RCTs, most of which have demonstrated a beneficial effect for this indication, although most trials are short-term. Adverse effects are generally nonserious and well tolerated. Incorporating cannabinergic medicine topics into pain medicine education seems warranted and continuing clinical research and empiric treatment trials are appropriate.

A rights-based proposal for managing faith-based values and expectations of migrants at end-of-life illustrated by an empirical study involving South Asians in the UK.

PubMed

Samanta, Jo; Samanta, Ash; Madhloom, Omar

2018-06-08

International migration is an important issue for many high-income countries and is accompanied by opportunities as well as challenges. South Asians are the largest minority ethnic group in the United Kingdom, and this diaspora is reflective of the growing diversity of British society. An empirical study was performed to ascertain the faith-based values, beliefs, views and attitudes of participants in relation to their perception of issues pertaining to end-of-life care. Empirical observations from this study, as well as the extant knowledge-base from the literature, are used to support and contextualise our reflections against a socio-legal backdrop. We argue for accommodation of faith-based values of migrants at end-of-life within normative structures of receiving countries. We posit the ethically relevant principles of inclusiveness, integration and embedment, for an innovative bioethical framework as a vehicle for accommodating faith-based values and needs of migrants at end-of-life. These tenets work conjunctively, as well as individually, in respect of individual care, enabling processes and procedures, and ultimately for formulating policy and strategy. © 2018 John Wiley & Sons Ltd.

Complex dynamics and empirical evidence (Invited Paper)

NASA Astrophysics Data System (ADS)

Delli Gatti, Domenico; Gaffeo, Edoardo; Giulioni, Gianfranco; Gallegati, Mauro; Kirman, Alan; Palestrini, Antonio; Russo, Alberto

2005-05-01

Standard macroeconomics, based on a reductionist approach centered on the representative agent, is badly equipped to explain the empirical evidence where heterogeneity and industrial dynamics are the rule. In this paper we show that a simple agent-based model of heterogeneous financially fragile agents is able to replicate a large number of scaling type stylized facts with a remarkable degree of statistical precision.

Base course resilient modulus for the mechanistic-empirical pavement design guide : [summary].

DOT National Transportation Integrated Search

2011-01-01

Elastic modulus determination is often used in designing pavements and evaluating pavement performance. The Mechanistic-Empirical Pavement Design Guide (MEPDG) has become an important source of guidance for pavement design and rehabilitation. MEPDG r...

Do Master's in Social Work Programs Teach Empirically Supported Interventions? A Survey of Deans and Directors

ERIC Educational Resources Information Center

Woody, Jane D.; D'Souza, Henry J.; Dartman, Rebecca

2006-01-01

Objective: A questionnaire to examine efforts toward the teaching of empirically supported interventions (ESI) was mailed to the 165 deans and directors of Council on Social Work Education-accredited Master's in social work (MSW) programs; 66 (40%) responded. Method: Questions included program characteristics and items assessing both faculty and…

50 CFR 600.1417 - Requirements for exempted state designation based on submission of recreational survey data.

Code of Federal Regulations, 2011 CFR

2011-10-01

... the state's participation in a qualifying regional survey, and the survey's sample design, data... designation based on submission of recreational survey data. 600.1417 Section 600.1417 Wildlife and Fisheries... Requirements for exempted state designation based on submission of recreational survey data. (a) To be...

50 CFR 600.1417 - Requirements for exempted state designation based on submission of recreational survey data.

Code of Federal Regulations, 2010 CFR

2010-10-01

... the state's participation in a qualifying regional survey, and the survey's sample design, data... designation based on submission of recreational survey data. 600.1417 Section 600.1417 Wildlife and Fisheries... Requirements for exempted state designation based on submission of recreational survey data. (a) To be...

Empirical Study of the Role of Government Support and Success Factors in Industry-University-Institute Cooperation

ERIC Educational Resources Information Center

Zhimin, Guan; Zhongpeng, Cao; Jin, Tao

2016-01-01

Empirical research methods were used to study the state of industry-university-institute collaboration in China and the factors influencing the results of cooperation between members of technological innovation alliances, from the dual perspectives of enterprises and universities/research institutes On the basis of questionnaire surveys of 100…

Indigenous People and Poverty in Latin America: An Empirical Analysis. World Bank Regional and Sectoral Studies.

ERIC Educational Resources Information Center

Psacharopoulos, George, Ed.; Patrinos, Harry Anthony, Ed.

The indigenous peoples of Latin America live in conditions of extreme poverty. This book uses empirical data from national survey sources to determine the extent of poverty among Latin American indigenous populations; to compare indigenous and nonindigenous populations with regard to socioeconomic status, living conditions, educational attainment,…

Translation of a tobacco survey into Spanish and Asian languages: the Tobacco Use Supplement to the Current Population Survey.

PubMed

Willis, Gordon; Lawrence, Deirdre; Hartman, Anne; Stapleton Kudela, Martha; Levin, Kerry; Forsyth, Barbara

2008-06-01

Because of the vital need to attain cross-cultural comparability of estimates of tobacco use across subgroups of the U.S. population that differ in primary language use, the National Cancer Institute (NCI) Tobacco Use Special Cessation Supplement to the Current Population Survey (TUSCS-CPS) was translated into Spanish, Chinese (Mandarin and Cantonese), Korean, Vietnamese, and Khmer (Cambodian). The questionnaire translations were extensively tested using an eight-step process that focused on both translation procedures and empirical pretesting. The resulting translations are available on the Internet at http://riskfactor.cancer.gov/studies/tus-cps/translation/questionnaires.html for tobacco researchers to use in their own surveys, either in full, or as material to be selected as appropriate. This manuscript provides information to guide researchers in accessing and using the translations, and describes the empirical procedures used to develop and pretest them (cognitive interviewing and behavior coding). We also provide recommendations concerning the further development of questionnaire translations.

Translation of a Tobacco Survey into Spanish and Asian Languages: The Tobacco Use Supplement to the Current Population Survey

PubMed Central

Willis, Gordon; Lawrence, Deirdre; Hartman, Anne; Kudela, Martha Stapleton; Levin, Kerry; Forsyth, Barbara

2013-01-01

Because of the vital need to attain cross-cultural comparability of estimates of tobacco use across subgroups of the U.S. population that differ in primary language use, the NCI Tobacco Use Special Cessation Supplement to the Current Population Survey (TUSCS-CPS) was translated into Spanish, Chinese (Mandarin and Cantonese), Korean, Vietnamese, and Khmer (Cambodian). The questionnaire translations were extensively tested using an eight-step process that focused on both translation procedures and empirical pretesting. The resulting translations are available on the Internet (at http://riskfactor.cancer.gov/studies/tus-cps/translation/questionnaires.html) for tobacco researchers to use in their own surveys, either in full, or as material to be selected as appropriate. This manuscript provides information to guide researchers in accessing and using the translations, and describes the empirical procedures used to develop and pretest them (cognitive interviewing and behavior coding). We also provide recommendations concerning the further development of questionnaire translations. PMID:18584471

Implementing community-based provider participation in research: an empirical study.

PubMed

Teal, Randall; Bergmire, Dawn M; Johnston, Matthew; Weiner, Bryan J

2012-05-08

Since 2003, the United States National Institutes of Health (NIH) has sought to restructure the clinical research enterprise in the United States by promoting collaborative research partnerships between academically-based investigators and community-based physicians. By increasing community-based provider participation in research (CBPPR), the NIH seeks to advance the science of discovery by conducting research in clinical settings where most people get their care, and accelerate the translation of research results into everyday clinical practice. Although CBPPR is seen as a promising strategy for promoting the use of evidence-based clinical services in community practice settings, few empirical studies have examined the organizational factors that facilitate or hinder the implementation of CBPPR. The purpose of this study is to explore the organizational start-up and early implementation of CBPPR in community-based practice. We used longitudinal, case study research methods and an organizational model of innovation implementation to theoretically guide our study. Our sample consisted of three community practice settings that recently joined the National Cancer Institute's (NCI) Community Clinical Oncology Program (CCOP) in the United States. Data were gathered through site visits, telephone interviews, and archival documents from January 2008 to May 2011. The organizational model for innovation implementation was useful in identifying and investigating the organizational factors influencing start-up and early implementation of CBPPR in CCOP organizations. In general, the three CCOP organizations varied in the extent to which they achieved consistency in CBPPR over time and across physicians. All three CCOP organizations demonstrated mixed levels of organizational readiness for change. Hospital management support and resource availability were limited across CCOP organizations early on, although they improved in one CCOP organization. As a result of weak IPPs, all

Implementing community-based provider participation in research: an empirical study

PubMed Central

2012-01-01

Background Since 2003, the United States National Institutes of Health (NIH) has sought to restructure the clinical research enterprise in the United States by promoting collaborative research partnerships between academically-based investigators and community-based physicians. By increasing community-based provider participation in research (CBPPR), the NIH seeks to advance the science of discovery by conducting research in clinical settings where most people get their care, and accelerate the translation of research results into everyday clinical practice. Although CBPPR is seen as a promising strategy for promoting the use of evidence-based clinical services in community practice settings, few empirical studies have examined the organizational factors that facilitate or hinder the implementation of CBPPR. The purpose of this study is to explore the organizational start-up and early implementation of CBPPR in community-based practice. Methods We used longitudinal, case study research methods and an organizational model of innovation implementation to theoretically guide our study. Our sample consisted of three community practice settings that recently joined the National Cancer Institute’s (NCI) Community Clinical Oncology Program (CCOP) in the United States. Data were gathered through site visits, telephone interviews, and archival documents from January 2008 to May 2011. Results The organizational model for innovation implementation was useful in identifying and investigating the organizational factors influencing start-up and early implementation of CBPPR in CCOP organizations. In general, the three CCOP organizations varied in the extent to which they achieved consistency in CBPPR over time and across physicians. All three CCOP organizations demonstrated mixed levels of organizational readiness for change. Hospital management support and resource availability were limited across CCOP organizations early on, although they improved in one CCOP organization

An employee total health management-based survey of Iowa employers.

PubMed

Merchant, James A; Lind, David P; Kelly, Kevin M; Hall, Jennifer L

2013-12-01

To implement an Employee Total Health Management (ETHM) model-based questionnaire and provide estimates of model program elements among a statewide sample of Iowa employers. Survey a stratified random sample of Iowa employers, and characterize and estimate employer participation in ETHM program elements. Iowa employers are implementing less than 30% of all 12 components of ETHM, with the exception of occupational safety and health (46.6%) and workers' compensation insurance coverage (89.2%), but intend modest expansion of all components in the coming year. The ETHM questionnaire-based survey provides estimates of progress Iowa employers are making toward implementing components of Total Worker Health programs.

Who should be undertaking population-based surveys in humanitarian emergencies?

PubMed Central

Spiegel, Paul B

2007-01-01

surveys should be undertaken and act as a survey repository. Technical expertise is expensive and donors must pay for it. As donors increasingly demand evidence-based programming, they have an obligation to ensure that sufficient funds are provided so organisations have adequate technical staff. PMID:17543107

Using SEM to Analyze Complex Survey Data: A Comparison between Design-Based Single-Level and Model-Based Multilevel Approaches

ERIC Educational Resources Information Center

Wu, Jiun-Yu; Kwok, Oi-man

2012-01-01

Both ad-hoc robust sandwich standard error estimators (design-based approach) and multilevel analysis (model-based approach) are commonly used for analyzing complex survey data with nonindependent observations. Although these 2 approaches perform equally well on analyzing complex survey data with equal between- and within-level model structures…

Self-Published Books: An Empirical "Snapshot"

ERIC Educational Resources Information Center

Bradley, Jana; Fulton, Bruce; Helm, Marlene

2012-01-01

The number of books published by authors using fee-based publication services, such as Lulu and AuthorHouse, is overtaking the number of books published by mainstream publishers, according to Bowker's 2009 annual data. Little empirical research exists on self-published books. This article presents the results of an investigation of a random sample…

The costs of the soviet empire.

PubMed

Wolf, C

1985-11-29

A comprehensive framework is developed and applied to estimate the economic costs incurred by the Soviet Union in acquiring, maintaining, and expanding its empire. The terms "empire" and "costs" are explicitly defined. Between 1971 and 1980, the average ratio between empire costs and Soviet gross national product was about 3.5 percent; as a ratio to Soviet military spending, empire costs averaged about 28 percent. The burden imposed on Soviet economic growth by empire costs is also considered, as well as rates of change in these costs, and the important political, military, and strategic benefits associated by the Soviet leadership with maintenance and expansion of the empire. Prospective empire costs and changes in Soviet economic constraints resulting from the declining performance of the domestic economy are also considered.

Partial differential equation-based approach for empirical mode decomposition: application on image analysis.

PubMed

Niang, Oumar; Thioune, Abdoulaye; El Gueirea, Mouhamed Cheikh; Deléchelle, Eric; Lemoine, Jacques

2012-09-01

The major problem with the empirical mode decomposition (EMD) algorithm is its lack of a theoretical framework. So, it is difficult to characterize and evaluate this approach. In this paper, we propose, in the 2-D case, the use of an alternative implementation to the algorithmic definition of the so-called "sifting process" used in the original Huang's EMD method. This approach, especially based on partial differential equations (PDEs), was presented by Niang in previous works, in 2005 and 2007, and relies on a nonlinear diffusion-based filtering process to solve the mean envelope estimation problem. In the 1-D case, the efficiency of the PDE-based method, compared to the original EMD algorithmic version, was also illustrated in a recent paper. Recently, several 2-D extensions of the EMD method have been proposed. Despite some effort, 2-D versions for EMD appear poorly performing and are very time consuming. So in this paper, an extension to the 2-D space of the PDE-based approach is extensively described. This approach has been applied in cases of both signal and image decomposition. The obtained results confirm the usefulness of the new PDE-based sifting process for the decomposition of various kinds of data. Some results have been provided in the case of image decomposition. The effectiveness of the approach encourages its use in a number of signal and image applications such as denoising, detrending, or texture analysis.

Research across the disciplines: a road map for quality criteria in empirical ethics research.

PubMed

Mertz, Marcel; Inthorn, Julia; Renz, Günter; Rothenberger, Lillian Geza; Salloch, Sabine; Schildmann, Jan; Wöhlke, Sabine; Schicktanz, Silke

2014-03-01

Research in the field of Empirical Ethics (EE) uses a broad variety of empirical methodologies, such as surveys, interviews and observation, developed in disciplines such as sociology, anthropology, and psychology. Whereas these empirical disciplines see themselves as purely descriptive, EE also aims at normative reflection. Currently there is literature about the quality of empirical research in ethics, but little or no reflection on specific methodological aspects that must be considered when conducting interdisciplinary empirical ethics. Furthermore, poor methodology in an EE study results in misleading ethical analyses, evaluations or recommendations. This not only deprives the study of scientific and social value, but also risks ethical misjudgement. While empirical and normative-ethical research projects have quality criteria in their own right, we focus on the specific quality criteria for EE research. We develop a tentative list of quality criteria--a "road map"--tailored to interdisciplinary research in EE, to guide assessments of research quality. These quality criteria fall into the categories of primary research question, theoretical framework and methods, relevance, interdisciplinary research practice and research ethics and scientific ethos. EE research is an important and innovative development in bioethics. However, a lack of standards has led to concerns about and even rejection of EE by various scholars. Our suggested orientation list of criteria, presented in the form of reflective questions, cannot be considered definitive, but serves as a tool to provoke systematic reflection during the planning and composition of an EE research study. These criteria need to be tested in different EE research settings and further refined.

Bi-dimensional empirical mode decomposition based fringe-like pattern suppression in polarization interference imaging spectrometer

NASA Astrophysics Data System (ADS)

Ren, Wenyi; Cao, Qizhi; Wu, Dan; Jiang, Jiangang; Yang, Guoan; Xie, Yingge; Wang, Guodong; Zhang, Sheqi

2018-01-01

Many observers using interference imaging spectrometer were plagued by the fringe-like pattern(FP) that occurs for optical wavelengths in red and near-infrared region. It brings us more difficulties in the data processing such as the spectrum calibration, information retrieval, and so on. An adaptive method based on the bi-dimensional empirical mode decomposition was developed to suppress the nonlinear FP in polarization interference imaging spectrometer. The FP and corrected interferogram were separated effectively. Meanwhile, the stripes introduced by CCD mosaic was suppressed. The nonlinear interferogram background removal and the spectrum distortion correction were implemented as well. It provides us an alternative method to adaptively suppress the nonlinear FP without prior experimental data and knowledge. This approach potentially is a powerful tool in the fields of Fourier transform spectroscopy, holographic imaging, optical measurement based on moire fringe, etc.

AN EMPIRICAL FORMULA FOR THE DISTRIBUTION FUNCTION OF A THIN EXPONENTIAL DISC

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

Sharma, Sanjib; Bland-Hawthorn, Joss

2013-08-20

An empirical formula for a Shu distribution function that reproduces a thin disc with exponential surface density to good accuracy is presented. The formula has two free parameters that specify the functional form of the velocity dispersion. Conventionally, this requires the use of an iterative algorithm to produce the correct solution, which is computationally taxing for applications like Markov Chain Monte Carlo model fitting. The formula has been shown to work for flat, rising, and falling rotation curves. Application of this methodology to one of the Dehnen distribution functions is also shown. Finally, an extension of this formula to reproducemore » velocity dispersion profiles that are an exponential function of radius is also presented. Our empirical formula should greatly aid the efficient comparison of disc models with large stellar surveys or N-body simulations.« less

Module-Based Professional Development for Teachers: A Cost-Effective Philippine Experiment

ERIC Educational Resources Information Center

San Antonio, Diosdado M.; Morales, Nelson S.; Moral, Leo S.

2011-01-01

This article examines the impact of implementing module-based professional development for teachers (MBPDT) in the Philippines. A mixed-method study, experimental design with empirical surveys and an open-ended questionnaire revealed that the experimental group of teachers had greater professional content knowledge compared with the control group…

Libraries and Desktop Storage Options: Results of a Web-Based Survey.

ERIC Educational Resources Information Center

Hendricks, Arthur; Wang, Jian

2002-01-01

Reports the results of a Web-based survey that investigated what plans, if any, librarians have for dealing with the expected obsolescence of the floppy disk and still retain effective library service. Highlights include data storage options, including compact disks, zip disks, and networked storage products; and a copy of the Web survey.…

Development and validation of a web-based questionnaire for surveying the health and working conditions of high-performance marine craft populations.

PubMed

de Alwis, Manudul Pahansen; Lo Martire, Riccardo; Äng, Björn O; Garme, Karl

2016-06-20

High-performance marine craft crews are susceptible to various adverse health conditions caused by multiple interactive factors. However, there are limited epidemiological data available for assessment of working conditions at sea. Although questionnaire surveys are widely used for identifying exposures, outcomes and associated risks with high accuracy levels, until now, no validated epidemiological tool exists for surveying occupational health and performance in these populations. To develop and validate a web-based questionnaire for epidemiological assessment of occupational and individual risk exposure pertinent to the musculoskeletal health conditions and performance in high-performance marine craft populations. A questionnaire for investigating the association between work-related exposure, performance and health was initially developed by a consensus panel under four subdomains, viz. demography, lifestyle, work exposure and health and systematically validated by expert raters for content relevance and simplicity in three consecutive stages, each iteratively followed by a consensus panel revision. The item content validity index (I-CVI) was determined as the proportion of experts giving a rating of 3 or 4. The scale content validity index (S-CVI/Ave) was computed by averaging the I-CVIs for the assessment of the questionnaire as a tool. Finally, the questionnaire was pilot tested. The S-CVI/Ave increased from 0.89 to 0.96 for relevance and from 0.76 to 0.94 for simplicity, resulting in 36 items in the final questionnaire. The pilot test confirmed the feasibility of the questionnaire. The present study shows that the web-based questionnaire fulfils previously published validity acceptance criteria and is therefore considered valid and feasible for the empirical surveying of epidemiological aspects among high-performance marine craft crews and similar populations. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted

Development and validation of a web-based questionnaire for surveying the health and working conditions of high-performance marine craft populations

PubMed Central

de Alwis, Manudul Pahansen; Lo Martire, Riccardo; Äng, Björn O; Garme, Karl

2016-01-01

Background High-performance marine craft crews are susceptible to various adverse health conditions caused by multiple interactive factors. However, there are limited epidemiological data available for assessment of working conditions at sea. Although questionnaire surveys are widely used for identifying exposures, outcomes and associated risks with high accuracy levels, until now, no validated epidemiological tool exists for surveying occupational health and performance in these populations. Aim To develop and validate a web-based questionnaire for epidemiological assessment of occupational and individual risk exposure pertinent to the musculoskeletal health conditions and performance in high-performance marine craft populations. Method A questionnaire for investigating the association between work-related exposure, performance and health was initially developed by a consensus panel under four subdomains, viz. demography, lifestyle, work exposure and health and systematically validated by expert raters for content relevance and simplicity in three consecutive stages, each iteratively followed by a consensus panel revision. The item content validity index (I-CVI) was determined as the proportion of experts giving a rating of 3 or 4. The scale content validity index (S-CVI/Ave) was computed by averaging the I-CVIs for the assessment of the questionnaire as a tool. Finally, the questionnaire was pilot tested. Results The S-CVI/Ave increased from 0.89 to 0.96 for relevance and from 0.76 to 0.94 for simplicity, resulting in 36 items in the final questionnaire. The pilot test confirmed the feasibility of the questionnaire. Conclusions The present study shows that the web-based questionnaire fulfils previously published validity acceptance criteria and is therefore considered valid and feasible for the empirical surveying of epidemiological aspects among high-performance marine craft crews and similar populations. PMID:27324717

An empirically based steady state friction law and implications for fault stability

NASA Astrophysics Data System (ADS)

Spagnuolo, E.; Nielsen, S.; Violay, M.; Di Toro, G.

2016-04-01

Empirically based rate-and-state friction laws (RSFLs) have been proposed to model the dependence of friction forces with slip and time. The relevance of the RSFL for earthquake mechanics is that few constitutive parameters define critical conditions for fault stability (i.e., critical stiffness and frictional fault behavior). However, the RSFLs were determined from experiments conducted at subseismic slip rates (V < 1 cm/s), and their extrapolation to earthquake deformation conditions (V > 0.1 m/s) remains questionable on the basis of the experimental evidence of (1) large dynamic weakening and (2) activation of particular fault lubrication processes at seismic slip rates. Here we propose a modified RSFL (MFL) based on the review of a large published and unpublished data set of rock friction experiments performed with different testing machines. The MFL, valid at steady state conditions from subseismic to seismic slip rates (0.1 µm/s < V < 3 m/s), describes the initiation of a substantial velocity weakening in the 1-20 cm/s range resulting in a critical stiffness increase that creates a peak of potential instability in that velocity regime. The MFL leads to a new definition of fault frictional stability with implications for slip event styles and relevance for models of seismic rupture nucleation, propagation, and arrest.

Understanding Patient Experience Using Internet-based Email Surveys: A Feasibility Study at Mount Sinai Hospital.

PubMed

Morgan, Matthew; Lau, Davina; Jivraj, Tanaz; Principi, Tania; Dietrich, Sandra; Bell, Chaim M

2015-01-01

Email is becoming a widely accepted communication tool in healthcare settings. This study sought to test the feasibility of Internet-based email surveys of patient experience in the ambulatory setting. We conducted a study of email Internet-based surveys sent to patients in selected ambulatory clinics at Mount Sinai Hospital in Toronto, Canada. Our findings suggest that email links to Internet surveys are a feasible, timely and efficient method to solicit patient feedback about their experience. Further research is required to optimally leverage Internet-based email surveys as a tool to better understand the patient experience.

Address-based versus random-digit-dial surveys: comparison of key health and risk indicators.

PubMed

Link, Michael W; Battaglia, Michael P; Frankel, Martin R; Osborn, Larry; Mokdad, Ali H

2006-11-15

Use of random-digit dialing (RDD) for conducting health surveys is increasingly problematic because of declining participation rates and eroding frame coverage. Alternative survey modes and sampling frames may improve response rates and increase the validity of survey estimates. In a 2005 pilot study conducted in six states as part of the Behavioral Risk Factor Surveillance System, the authors administered a mail survey to selected household members sampled from addresses in a US Postal Service database. The authors compared estimates based on data from the completed mail surveys (n = 3,010) with those from the Behavioral Risk Factor Surveillance System telephone surveys (n = 18,780). The mail survey data appeared reasonably complete, and estimates based on data from the two survey modes were largely equivalent. Differences found, such as differences in the estimated prevalences of binge drinking (mail = 20.3%, telephone = 13.1%) or behaviors linked to human immunodeficiency virus transmission (mail = 7.1%, telephone = 4.2%), were consistent with previous research showing that, for questions about sensitive behaviors, self-administered surveys generally produce higher estimates than interviewer-administered surveys. The mail survey also provided access to cell-phone-only households and households without telephones, which cannot be reached by means of standard RDD surveys.

An epileptic seizures detection algorithm based on the empirical mode decomposition of EEG.

PubMed

Orosco, Lorena; Laciar, Eric; Correa, Agustina Garces; Torres, Abel; Graffigna, Juan P

2009-01-01

Epilepsy is a neurological disorder that affects around 50 million people worldwide. The seizure detection is an important component in the diagnosis of epilepsy. In this study, the Empirical Mode Decomposition (EMD) method was proposed on the development of an automatic epileptic seizure detection algorithm. The algorithm first computes the Intrinsic Mode Functions (IMFs) of EEG records, then calculates the energy of each IMF and performs the detection based on an energy threshold and a minimum duration decision. The algorithm was tested in 9 invasive EEG records provided and validated by the Epilepsy Center of the University Hospital of Freiburg. In 90 segments analyzed (39 with epileptic seizures) the sensitivity and specificity obtained with the method were of 56.41% and 75.86% respectively. It could be concluded that EMD is a promissory method for epileptic seizure detection in EEG records.

Data mining: comparing the empiric CFS to the Canadian ME/CFS case definition.

PubMed

Jason, Leonard A; Skendrovic, Beth; Furst, Jacob; Brown, Abigail; Weng, Angela; Bronikowski, Christine

2012-01-01

This article contrasts two case definitions for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). We compared the empiric CFS case definition (Reeves et al., 2005) and the Canadian ME/CFS clinical case definition (Carruthers et al., 2003) with a sample of individuals with CFS versus those without. Data mining with decision trees was used to identify the best items to identify patients with CFS. Data mining is a statistical technique that was used to help determine which of the survey questions were most effective for accurately classifying cases. The empiric criteria identified about 79% of patients with CFS and the Canadian criteria identified 87% of patients. Items identified by the Canadian criteria had more construct validity. The implications of these findings are discussed. © 2011 Wiley Periodicals, Inc.

Classification of Marital Relationships: An Empirical Approach.

ERIC Educational Resources Information Center

Snyder, Douglas K.; Smith, Gregory T.

1986-01-01

Derives an empirically based classification system of marital relationships, employing a multidimensional self-report measure of marital interaction. Spouses' profiles on the Marital Satisfaction Inventory for samples of clinic and nonclinic couples were subjected to cluster analysis, resulting in separate five-group typologies for husbands and…

Effects of Personalization and Invitation Email Length on Web-Based Survey Response Rates

ERIC Educational Resources Information Center

Trespalacios, Jesús H.; Perkins, Ross A.

2016-01-01

Individual strategies to increase response rate and survey completion have been extensively researched. Recently, efforts have been made to investigate a combination of interventions to yield better response rates for web-based surveys. This study examined the effects of four different survey invitation conditions on response rate. From a large…

An Employee Total Health Management–Based Survey of Iowa Employers

PubMed Central

Merchant, James A.; Lind, David P.; Kelly, Kevin M.; Hall, Jennifer L.

2015-01-01

Objective To implement an Employee Total Health Management (ETHM) model-based questionnaire and provide estimates of model program elements among a statewide sample of Iowa employers. Methods Survey a stratified random sample of Iowa employers, characterize and estimate employer participation in ETHM program elements Results Iowa employers are implementing under 30% of all 12 components of ETHM, with the exception of occupational safety and health (46.6%) and worker compensation insurance coverage (89.2%), but intend modest expansion of all components in the coming year. Conclusions The Employee Total Health Management questionnaire-based survey provides estimates of progress Iowa employers are making toward implementing components of total worker health programs. PMID:24284757

Empirical models of wind conditions on Upper Klamath Lake, Oregon

USGS Publications Warehouse

Buccola, Norman L.; Wood, Tamara M.

2010-01-01

Upper Klamath Lake is a large (230 square kilometers), shallow (mean depth 2.8 meters at full pool) lake in southern Oregon. Lake circulation patterns are driven largely by wind, and the resulting currents affect the water quality and ecology of the lake. To support hydrodynamic modeling of the lake and statistical investigations of the relation between wind and lake water-quality measurements, the U.S. Geological Survey has monitored wind conditions along the lakeshore and at floating raft sites in the middle of the lake since 2005. In order to make the existing wind archive more useful, this report summarizes the development of empirical wind models that serve two purposes: (1) to fill short (on the order of hours or days) wind data gaps at raft sites in the middle of the lake, and (2) to reconstruct, on a daily basis, over periods of months to years, historical wind conditions at U.S. Geological Survey sites prior to 2005. Empirical wind models based on Artificial Neural Network (ANN) and Multivariate-Adaptive Regressive Splines (MARS) algorithms were compared. ANNs were better suited to simulating the 10-minute wind data that are the dependent variables of the gap-filling models, but the simpler MARS algorithm may be adequate to accurately simulate the daily wind data that are the dependent variables of the historical wind models. To further test the accuracy of the gap-filling models, the resulting simulated winds were used to force the hydrodynamic model of the lake, and the resulting simulated currents were compared to measurements from an acoustic Doppler current profiler. The error statistics indicated that the simulation of currents was degraded as compared to when the model was forced with observed winds, but probably is adequate for short gaps in the data of a few days or less. Transport seems to be less affected by the use of the simulated winds in place of observed winds. The simulated tracer concentration was similar between model results when

Instructional Skills for On-the-Job Training and Experiential Learning: An Empirical Study of Japanese Firms

ERIC Educational Resources Information Center

Matsuo, Makoto

2014-01-01

Despite the effectiveness of on-the-job training (OJT), few systematic empirical studies have been conducted on how OJT trainers instruct trainees in firms. The primary goal of this study was to investigate the characteristics of the trainer's instructional skills for OJT using survey data collected from 715 employees covering 22 firms. Results…

Empirical likelihood-based confidence intervals for the sensitivity of a continuous-scale diagnostic test at a fixed level of specificity.

PubMed

Gengsheng Qin; Davis, Angela E; Jing, Bing-Yi

2011-06-01

For a continuous-scale diagnostic test, it is often of interest to find the range of the sensitivity of the test at the cut-off that yields a desired specificity. In this article, we first define a profile empirical likelihood ratio for the sensitivity of a continuous-scale diagnostic test and show that its limiting distribution is a scaled chi-square distribution. We then propose two new empirical likelihood-based confidence intervals for the sensitivity of the test at a fixed level of specificity by using the scaled chi-square distribution. Simulation studies are conducted to compare the finite sample performance of the newly proposed intervals with the existing intervals for the sensitivity in terms of coverage probability. A real example is used to illustrate the application of the recommended methods.

Empirical Allometric Models to Estimate Total Needle Biomass For Loblolly Pine

Treesearch

Hector M. de los Santos-Posadas; Bruce E. Borders

2002-01-01

Empirical geometric models based on the cone surface formula were adapted and used to estimate total dry needle biomass (TNB) and live branch basal area (LBBA). The results suggest that the empirical geometric equations produced good fit and stable parameters while estimating TNB and LBBA. The data used include trees form a spacing study of 12 years old and a set of...

Empirical ethics, context-sensitivity, and contextualism.

PubMed

Musschenga, Albert W

2005-10-01

In medical ethics, business ethics, and some branches of political philosophy (multi-culturalism, issues of just allocation, and equitable distribution) the literature increasingly combines insights from ethics and the social sciences. Some authors in medical ethics even speak of a new phase in the history of ethics, hailing "empirical ethics" as a logical next step in the development of practical ethics after the turn to "applied ethics." The name empirical ethics is ill-chosen because of its associations with "descriptive ethics." Unlike descriptive ethics, however, empirical ethics aims to be both descriptive and normative. The first question on which I focus is what kind of empirical research is used by empirical ethics and for which purposes. I argue that the ultimate aim of all empirical ethics is to improve the context-sensitivity of ethics. The second question is whether empirical ethics is essentially connected with specific positions in meta-ethics. I show that in some kinds of meta-ethical theories, which I categorize as broad contextualist theories, there is an intrinsic need for connecting normative ethics with empirical social research. But context-sensitivity is a goal that can be aimed for from any meta-ethical position.

Empire matters: implications for pastoral care.

PubMed

LaMothe, Ryan

2007-01-01

In this essay, I argue that the American Empire matters for pastoral care. I begin with a discussion of the meaning of empire and the particular historical roots and characteristics of the American Empire. From this, I contend that the American Empire matters because the United States has had a long history of expansionist aims, which has been couched in idealized secular discourse as well as ensconced in theo-political discourse. These discourses, which have, implicitly or explicitly, supported foreign policies and actions aimed at political, economic, and military dominion, are joined to an empire psyche. This empire psyche and the actions of U.S. governments are matters for pastoral care because of a) the various physical, psychological, and spiritual harms that attend hubris, greed, entitlement, and the quest for hegemony, and b) the theological contradictions inherent in Christian discourse that supports the American Empire. These consequences and contradictions serve as reasons why pastoral theologians and caregivers ought to bring these matters to public reflection and conversation. I conclude with a brief depiction of possible pastoral actions given the reality of the American Empire.

Suicidal ideation and Attempts in North American School-Based Surveys

PubMed Central

Saewyc, Elizabeth M.; Skay, Carol L.; Hynds, Patricia; Pettingell, Sandra; Bearinger, Linda H.; Resnick, Michael D.; Reis, Elizabeth

2008-01-01

This study explored the prevalence, disparity, and cohort trends in suicidality among bisexual teens vs. heterosexual and gay/lesbian peers in 9 population-based high school surveys in Canada and the U.S. Multivariate logistic regressions were used to calculate age-adjusted odds ratios separately by gender; 95% confidence intervals tested cohort trends where surveys were repeated over multiple years. Results showed remarkable consistency: bisexual youth reported higher odds of recent suicidal ideation and attempts vs. heterosexual peers, with increasing odds in most surveys over the past decade. Results compared to gay and lesbian peers were mixed, with varying gender differences in prevalence and disparity trends in the different regions. PMID:19835039

A Social Judgment Analysis of Information Source Preference Profiles: An Exploratory Study to Empirically Represent Media Selection Patterns.

ERIC Educational Resources Information Center

Stefl-Mabry, Joette

2003-01-01

Describes a study that empirically identified individual preferences profiles to understand information-seeking behavior among professional groups for six selected information sources. Highlights include Social Judgment Analysis; the development of the survey used, a copy of which is appended; hypotheses tested; results of multiple regression…

Dispelling myths about dissociative identity disorder treatment: an empirically based approach.

PubMed

Brand, Bethany L; Loewenstein, Richard J; Spiegel, David

2014-01-01

Some claim that treatment for dissociative identity disorder (DID) is harmful. Others maintain that the available data support the view that psychotherapy is helpful. We review the empirical support for both arguments. Current evidence supports the conclusion that phasic treatment consistent with expert consensus guidelines is associated with improvements in a wide range of DID patients' symptoms and functioning, decreased rates of hospitalization, and reduced costs of treatment. Research indicates that poor outcome is associated with treatment that does not specifically involve direct engagement with DID self-states to repair identity fragmentation and to decrease dissociative amnesia. The evidence demonstrates that carefully staged trauma-focused psychotherapy for DID results in improvement, whereas dissociative symptoms persist when not specifically targeted in treatment. The claims that DID treatment is harmful are based on anecdotal cases, opinion pieces, reports of damage that are not substantiated in the scientific literature, misrepresentations of the data, and misunderstandings about DID treatment and the phenomenology of DID. Given the severe symptomatology and disability associated with DID, iatrogenic harm is far more likely to come from depriving DID patients of treatment that is consistent with expert consensus, treatment guidelines, and current research.

Empirical Study of User Preferences Based on Rating Data of Movies

PubMed Central

Zhao, YingSi; Shen, Bo

2016-01-01

User preference plays a prominent role in many fields, including electronic commerce, social opinion, and Internet search engines. Particularly in recommender systems, it directly influences the accuracy of the recommendation. Though many methods have been presented, most of these have only focused on how to improve the recommendation results. In this paper, we introduce an empirical study of user preferences based on a set of rating data about movies. We develop a simple statistical method to investigate the characteristics of user preferences. We find that the movies have potential characteristics of closure, which results in the formation of numerous cliques with a power-law size distribution. We also find that a user related to a small clique always has similar opinions on the movies in this clique. Then, we suggest a user preference model, which can eliminate the predictions that are considered to be impracticable. Numerical results show that the model can reflect user preference with remarkable accuracy when data elimination is allowed, and random factors in the rating data make prediction error inevitable. In further research, we will investigate many other rating data sets to examine the universality of our findings. PMID:26735847

Empirical Study of User Preferences Based on Rating Data of Movies.

PubMed

Zhao, YingSi; Shen, Bo

2016-01-01

User preference plays a prominent role in many fields, including electronic commerce, social opinion, and Internet search engines. Particularly in recommender systems, it directly influences the accuracy of the recommendation. Though many methods have been presented, most of these have only focused on how to improve the recommendation results. In this paper, we introduce an empirical study of user preferences based on a set of rating data about movies. We develop a simple statistical method to investigate the characteristics of user preferences. We find that the movies have potential characteristics of closure, which results in the formation of numerous cliques with a power-law size distribution. We also find that a user related to a small clique always has similar opinions on the movies in this clique. Then, we suggest a user preference model, which can eliminate the predictions that are considered to be impracticable. Numerical results show that the model can reflect user preference with remarkable accuracy when data elimination is allowed, and random factors in the rating data make prediction error inevitable. In further research, we will investigate many other rating data sets to examine the universality of our findings.

Patient-Specific Seizure Detection in Long-Term EEG Using Signal-Derived Empirical Mode Decomposition (EMD)-based Dictionary Approach.

PubMed

Kaleem, Muhammad; Gurve, Dharmendra; Guergachi, Aziz; Krishnan, Sridhar

2018-06-25

The objective of the work described in this paper is development of a computationally efficient methodology for patient-specific automatic seizure detection in long-term multi-channel EEG recordings. Approach: A novel patient-specific seizure detection approach based on signal-derived Empirical Mode Decomposition (EMD)-based dictionary approach is proposed. For this purpose, we use an empirical framework for EMD-based dictionary creation and learning, inspired by traditional dictionary learning methods, in which the EMD-based dictionary is learned from the multi-channel EEG data being analyzed for automatic seizure detection. We present the algorithm for dictionary creation and learning, whose purpose is to learn dictionaries with a small number of atoms. Using training signals belonging to seizure and non-seizure classes, an initial dictionary, termed as the raw dictionary, is formed. The atoms of the raw dictionary are composed of intrinsic mode functions obtained after decomposition of the training signals using the empirical mode decomposition algorithm. The raw dictionary is then trained using a learning algorithm, resulting in a substantial decrease in the number of atoms in the trained dictionary. The trained dictionary is then used for automatic seizure detection, such that coefficients of orthogonal projections of test signals against the trained dictionary form the features used for classification of test signals into seizure and non-seizure classes. Thus no hand-engineered features have to be extracted from the data as in traditional seizure detection approaches. Main results: The performance of the proposed approach is validated using the CHB-MIT benchmark database, and averaged accuracy, sensitivity and specificity values of 92.9%, 94.3% and 91.5%, respectively, are obtained using support vector machine classifier and five-fold cross-validation method. These results are compared with other approaches using the same database

Patient perceptions of patient-centred care: empirical test of a theoretical model.

PubMed

Rathert, Cheryl; Williams, Eric S; McCaughey, Deirdre; Ishqaidef, Ghadir

2015-04-01

Patient perception measures are gaining increasing interest among scholars and practitioners. The aim of this study was to empirically examine a conceptual model of patient-centred care using patient perception survey data. Patient-centred care is one of the Institute of Medicine's objectives for improving health care in the 21st century. Patient interviews conducted by the Picker Institute/Commonwealth Fund in the 1980s resulted in a theoretical model and survey questions with dimensions and attributes patients defined as patient-centered. The present study used survey data from patients with overnight visits at 142 U.S. hospitals. Regression analysis found significant support for the theoretical model. Perceptions of emotional support had the strongest relationship with overall care ratings. Coordination of care, and physical comfort were strongly related as well. Understanding how patients experience their care can help improve understanding of what patients believe is patient-centred, and of how care processes relate to important patient outcomes. © 2012 John Wiley & Sons Ltd.

Empirical algorithms for ocean optics parameters

NASA Astrophysics Data System (ADS)

Smart, Jeffrey H.

2007-06-01

As part of the Worldwide Ocean Optics Database (WOOD) Project, The Johns Hopkins University Applied Physics Laboratory has developed and evaluated a variety of empirical models that can predict ocean optical properties, such as profiles of the beam attenuation coefficient computed from profiles of the diffuse attenuation coefficient. In this paper, we briefly summarize published empirical optical algorithms and assess their accuracy for estimating derived profiles. We also provide new algorithms and discuss their applicability for deriving optical profiles based on data collected from a variety of locations, including the Yellow Sea, the Sea of Japan, and the North Atlantic Ocean. We show that the scattering coefficient (b) can be computed from the beam attenuation coefficient (c) to about 10% accuracy. The availability of such relatively accurate predictions is important in the many situations where the set of data is incomplete.

Empirical Likelihood-Based Estimation of the Treatment Effect in a Pretest-Posttest Study.

PubMed

Huang, Chiung-Yu; Qin, Jing; Follmann, Dean A

2008-09-01

The pretest-posttest study design is commonly used in medical and social science research to assess the effect of a treatment or an intervention. Recently, interest has been rising in developing inference procedures that improve efficiency while relaxing assumptions used in the pretest-posttest data analysis, especially when the posttest measurement might be missing. In this article we propose a semiparametric estimation procedure based on empirical likelihood (EL) that incorporates the common baseline covariate information to improve efficiency. The proposed method also yields an asymptotically unbiased estimate of the response distribution. Thus functions of the response distribution, such as the median, can be estimated straightforwardly, and the EL method can provide a more appealing estimate of the treatment effect for skewed data. We show that, compared with existing methods, the proposed EL estimator has appealing theoretical properties, especially when the working model for the underlying relationship between the pretest and posttest measurements is misspecified. A series of simulation studies demonstrates that the EL-based estimator outperforms its competitors when the working model is misspecified and the data are missing at random. We illustrate the methods by analyzing data from an AIDS clinical trial (ACTG 175).

Empirical Likelihood-Based Estimation of the Treatment Effect in a Pretest–Posttest Study

PubMed Central

Huang, Chiung-Yu; Qin, Jing; Follmann, Dean A.

2013-01-01

The pretest–posttest study design is commonly used in medical and social science research to assess the effect of a treatment or an intervention. Recently, interest has been rising in developing inference procedures that improve efficiency while relaxing assumptions used in the pretest–posttest data analysis, especially when the posttest measurement might be missing. In this article we propose a semiparametric estimation procedure based on empirical likelihood (EL) that incorporates the common baseline covariate information to improve efficiency. The proposed method also yields an asymptotically unbiased estimate of the response distribution. Thus functions of the response distribution, such as the median, can be estimated straightforwardly, and the EL method can provide a more appealing estimate of the treatment effect for skewed data. We show that, compared with existing methods, the proposed EL estimator has appealing theoretical properties, especially when the working model for the underlying relationship between the pretest and posttest measurements is misspecified. A series of simulation studies demonstrates that the EL-based estimator outperforms its competitors when the working model is misspecified and the data are missing at random. We illustrate the methods by analyzing data from an AIDS clinical trial (ACTG 175). PMID:23729942

A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface

NASA Astrophysics Data System (ADS)

Chen, Yi-Feng; Atal, Kiran; Xie, Sheng-Quan; Liu, Quan

2017-08-01

Objective. Accurate and efficient detection of steady-state visual evoked potentials (SSVEP) in electroencephalogram (EEG) is essential for the related brain-computer interface (BCI) applications. Approach. Although the canonical correlation analysis (CCA) has been applied extensively and successfully to SSVEP recognition, the spontaneous EEG activities and artifacts that often occur during data recording can deteriorate the recognition performance. Therefore, it is meaningful to extract a few frequency sub-bands of interest to avoid or reduce the influence of unrelated brain activity and artifacts. This paper presents an improved method to detect the frequency component associated with SSVEP using multivariate empirical mode decomposition (MEMD) and CCA (MEMD-CCA). EEG signals from nine healthy volunteers were recorded to evaluate the performance of the proposed method for SSVEP recognition. Main results. We compared our method with CCA and temporally local multivariate synchronization index (TMSI). The results suggest that the MEMD-CCA achieved significantly higher accuracy in contrast to standard CCA and TMSI. It gave the improvements of 1.34%, 3.11%, 3.33%, 10.45%, 15.78%, 18.45%, 15.00% and 14.22% on average over CCA at time windows from 0.5 s to 5 s and 0.55%, 1.56%, 7.78%, 14.67%, 13.67%, 7.33% and 7.78% over TMSI from 0.75 s to 5 s. The method outperformed the filter-based decomposition (FB), empirical mode decomposition (EMD) and wavelet decomposition (WT) based CCA for SSVEP recognition. Significance. The results demonstrate the ability of our proposed MEMD-CCA to improve the performance of SSVEP-based BCI.

Role of non-traditional locations for seasonal flu vaccination: Empirical evidence and evaluation.

PubMed

Kim, Namhoon; Mountain, Travis P

2017-05-19

This study investigated the role of non-traditional locations in the decision to vaccinate for seasonal flu. We measured individuals' preferred location for seasonal flu vaccination by examining the National H1N1 Flu Survey (NHFS) conducted from late 2009 to early 2010. Our econometric model estimated the probabilities of possible choices by varying individual characteristics, and predicted the way in which the probabilities are expected to change given the specific covariates of interest. From this estimation, we observed that non-traditional locations significantly influenced the vaccination of certain individuals, such as those who are high-income, educated, White, employed, and living in a metropolitan statistical area (MSA), by increasing the coverage. Thus, based on the empirical evidence, our study suggested that supporting non-traditional locations for vaccination could be effective in increasing vaccination coverage. Copyright © 2017 Elsevier Ltd. All rights reserved.

Kindness in Australia: an empirical critique of moral decline sociology.

PubMed

Habibis, Daphne; Hookway, Nicholas; Vreugdenhil, Anthea

2016-09-01

A new sociological agenda is emerging that interrogates how morality can be established in the absence of the moral certainties of the past but there is a shortage of empirical work on this topic. This article establishes a theoretical framework for the empirical analysis of everyday morality drawing on the work of theorists including Ahmed, Bauman and Taylor. It uses the Australian Survey of Social Attitudes to assess the state and shape of contemporary moralities by asking how kind are Australians, how is its expression socially distributed, and what are the motivations for kindness. The findings demonstrate that Australians exhibit a strong attachment and commitment to kindness as a moral value that is primarily motivated by interiorized sources of moral authority. We argue these findings support the work of theorists such as Ahmed and Taylor who argue authenticity and embodied emotion are legitimate sources of morality in today's secular societies. The research also provides new evidence that generational changes are shaping understandings and practices of kindness in unexpected ways. © London School of Economics and Political Science 2016.

A Survey and Empirical Study of Virtual Reference Service in Academic Libraries

ERIC Educational Resources Information Center

Mu, Xiangming; Dimitroff, Alexandra; Jordan, Jeanette; Burclaff, Natalie

2011-01-01

Virtual Reference Services (VRS) have high user satisfaction. The main problem is its low usage. We surveyed 100 academic library web sites to understand how VRS are presented. We then conducted a usability study to further test an active VRS model regarding its effectiveness.

Incentive and Reminder Strategies to Improve Response Rate for Internet-Based Physician Surveys: A Randomized Experiment.

PubMed

Cook, David A; Wittich, Christopher M; Daniels, Wendlyn L; West, Colin P; Harris, Ann M; Beebe, Timothy J

2016-09-16

Most research on how to enhance response rates in physician surveys has been done using paper surveys. Uncertainties remain regarding how to enhance response rates in Internet-based surveys. To evaluate the impact of a low-cost nonmonetary incentive and paper mail reminders (formal letter and postcard) on response rates in Internet-based physician surveys. We executed a factorial-design randomized experiment while conducting a nationally representative Internet-based physician survey. We invited 3966 physicians (randomly selected from a commercial database of all licensed US physicians) via email to complete an Internet-based survey. We used 2 randomly assigned email messages: one message offered a book upon survey completion, whereas the other did not mention the book but was otherwise identical. All nonrespondents received several email reminders. Some physicians were further assigned at random to receive 1 reminder via paper mail (either a postcard or a letter) or no paper reminder. The primary outcome of this study was the survey response rate. Of the 3966 physicians who were invited, 451 (11.4%) responded to at least one survey question and 336 (8.5%) completed the entire survey. Of those who were offered a book, 345/2973 (11.6%) responded compared with 106/993 (10.7%) who were not offered a book (odds ratio 1.10, 95% CI 0.87-1.38, P=.42). Regarding the paper mail reminder, 168/1572 (10.7%) letter recipients, 148/1561 (9.5%) postcard recipients, and 69/767 (9.0%) email-only recipients responded (P=.35). The response rate for those receiving letters or postcards was similar (odds ratio 1.14, 95% CI 0.91-1.44, P=.26). Offering a modest nonmonetary incentive and sending a paper reminder did not improve survey response rate. Further research on how to enhance response rates in Internet-based physician surveys is needed.

Research across the disciplines: a road map for quality criteria in empirical ethics research

PubMed Central

2014-01-01

Background Research in the field of Empirical Ethics (EE) uses a broad variety of empirical methodologies, such as surveys, interviews and observation, developed in disciplines such as sociology, anthropology, and psychology. Whereas these empirical disciplines see themselves as purely descriptive, EE also aims at normative reflection. Currently there is literature about the quality of empirical research in ethics, but little or no reflection on specific methodological aspects that must be considered when conducting interdisciplinary empirical ethics. Furthermore, poor methodology in an EE study results in misleading ethical analyses, evaluations or recommendations. This not only deprives the study of scientific and social value, but also risks ethical misjudgement. Discussion While empirical and normative-ethical research projects have quality criteria in their own right, we focus on the specific quality criteria for EE research. We develop a tentative list of quality criteria – a “road map” – tailored to interdisciplinary research in EE, to guide assessments of research quality. These quality criteria fall into the categories of primary research question, theoretical framework and methods, relevance, interdisciplinary research practice and research ethics and scientific ethos. Summary EE research is an important and innovative development in bioethics. However, a lack of standards has led to concerns about and even rejection of EE by various scholars. Our suggested orientation list of criteria, presented in the form of reflective questions, cannot be considered definitive, but serves as a tool to provoke systematic reflection during the planning and composition of an EE research study. These criteria need to be tested in different EE research settings and further refined. PMID:24580847

An empirical system for probabilistic seasonal climate prediction

NASA Astrophysics Data System (ADS)

Eden, Jonathan; van Oldenborgh, Geert Jan; Hawkins, Ed; Suckling, Emma

2016-04-01

Preparing for episodes with risks of anomalous weather a month to a year ahead is an important challenge for governments, non-governmental organisations, and private companies and is dependent on the availability of reliable forecasts. The majority of operational seasonal forecasts are made using process-based dynamical models, which are complex, computationally challenging and prone to biases. Empirical forecast approaches built on statistical models to represent physical processes offer an alternative to dynamical systems and can provide either a benchmark for comparison or independent supplementary forecasts. Here, we present a simple empirical system based on multiple linear regression for producing probabilistic forecasts of seasonal surface air temperature and precipitation across the globe. The global CO2-equivalent concentration is taken as the primary predictor; subsequent predictors, including large-scale modes of variability in the climate system and local-scale information, are selected on the basis of their physical relationship with the predictand. The focus given to the climate change signal as a source of skill and the probabilistic nature of the forecasts produced constitute a novel approach to global empirical prediction. Hindcasts for the period 1961-2013 are validated against observations using deterministic (correlation of seasonal means) and probabilistic (continuous rank probability skill scores) metrics. Good skill is found in many regions, particularly for surface air temperature and most notably in much of Europe during the spring and summer seasons. For precipitation, skill is generally limited to regions with known El Niño-Southern Oscillation (ENSO) teleconnections. The system is used in a quasi-operational framework to generate empirical seasonal forecasts on a monthly basis.

Bias-dependent hybrid PKI empirical-neural model of microwave FETs

NASA Astrophysics Data System (ADS)

Marinković, Zlatica; Pronić-Rančić, Olivera; Marković, Vera

2011-10-01

Empirical models of microwave transistors based on an equivalent circuit are valid for only one bias point. Bias-dependent analysis requires repeated extractions of the model parameters for each bias point. In order to make model bias-dependent, a new hybrid empirical-neural model of microwave field-effect transistors is proposed in this article. The model is a combination of an equivalent circuit model including noise developed for one bias point and two prior knowledge input artificial neural networks (PKI ANNs) aimed at introducing bias dependency of scattering (S) and noise parameters, respectively. The prior knowledge of the proposed ANNs involves the values of the S- and noise parameters obtained by the empirical model. The proposed hybrid model is valid in the whole range of bias conditions. Moreover, the proposed model provides better accuracy than the empirical model, which is illustrated by an appropriate modelling example of a pseudomorphic high-electron mobility transistor device.

Women's autonomy and reproductive health care utilisation: empirical evidence from Tajikistan.

PubMed

Kamiya, Yusuke

2011-10-01

Women's autonomy is widely considered to be a key to improving maternal health in developing countries, whereas there is no consistent empirical evidence to support this claim. This paper examines whether or not and how women's autonomy within the household affects the use of reproductive health care, using a household survey data from Tajikistan. Estimation is performed by the bivariate probit model whereby woman's use of health services and the level of women's autonomy are recursively and simultaneously determined. The data is from a sample of women aged 15-49 from the Tajikistan Living Standard Measurement Survey 2007. Women's autonomy as measured by women's decision-making on household financial matters increase the likelihood that a woman receives antenatal and delivery care, whilst it has a negative effect on the probability of attending to four or more antenatal consultations. The hypothesis that women's autonomy and reproductive health care utilisation are independently determined is rejected for most of the estimation specifications, indicating the importance of taking into account the endogenous nature of women's autonomy when assessing its effect on health care use. The empirical results reconfirm the assertion that women's status within the household is closely linked to reproductive health care utilisation in developing countries. Policymakers therefore need not only to implement not only direct health interventions but also to focus on broader social policies which address women's empowerment. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Comparison of artificial intelligence methods and empirical equations to estimate daily solar radiation

NASA Astrophysics Data System (ADS)

Mehdizadeh, Saeid; Behmanesh, Javad; Khalili, Keivan

2016-08-01

In the present research, three artificial intelligence methods including Gene Expression Programming (GEP), Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) as well as, 48 empirical equations (10, 12 and 26 equations were temperature-based, sunshine-based and meteorological parameters-based, respectively) were used to estimate daily solar radiation in Kerman, Iran in the period of 1992-2009. To develop the GEP, ANN and ANFIS models, depending on the used empirical equations, various combinations of minimum air temperature, maximum air temperature, mean air temperature, extraterrestrial radiation, actual sunshine duration, maximum possible sunshine duration, sunshine duration ratio, relative humidity and precipitation were considered as inputs in the mentioned intelligent methods. To compare the accuracy of empirical equations and intelligent models, root mean square error (RMSE), mean absolute error (MAE), mean absolute relative error (MARE) and determination coefficient (R2) indices were used. The results showed that in general, sunshine-based and meteorological parameters-based scenarios in ANN and ANFIS models presented high accuracy than mentioned empirical equations. Moreover, the most accurate method in the studied region was ANN11 scenario with five inputs. The values of RMSE, MAE, MARE and R2 indices for the mentioned model were 1.850 MJ m-2 day-1, 1.184 MJ m-2 day-1, 9.58% and 0.935, respectively.

Multi-faults decoupling on turbo-expander using differential-based ensemble empirical mode decomposition

NASA Astrophysics Data System (ADS)

Li, Hongguang; Li, Ming; Li, Cheng; Li, Fucai; Meng, Guang

2017-09-01

This paper dedicates on the multi-faults decoupling of turbo-expander rotor system using Differential-based Ensemble Empirical Mode Decomposition (DEEMD). DEEMD is an improved version of DEMD to resolve the imperfection of mode mixing. The nonlinear behaviors of the turbo-expander considering temperature gradient with crack, rub-impact and pedestal looseness faults are investigated respectively, so that the baseline for the multi-faults decoupling can be established. DEEMD is then utilized on the vibration signals of the rotor system with coupling faults acquired by numerical simulation, and the results indicate that DEEMD can successfully decouple the coupling faults, which is more efficient than EEMD. DEEMD is also applied on the vibration signal of the misalignment coupling with rub-impact fault obtained during the adjustment of the experimental system. The conclusion shows that DEEMD can decompose the practical multi-faults signal and the industrial prospect of DEEMD is verified as well.

Reconsidering the definition of Major Depression based on Collaborative Psychiatric Epidemiology Surveys.

PubMed

Rosenström, Tom; Jokela, Markus

2017-01-01

Diagnostic definitions for depressive disorders remain a debated topic, despite their central role in clinical practice and research. We use both recent evidence and nationally representative data to derive an empirically-based modification of DSM-IV/-5 Major Depressive Disorder (MDD). A modified MDD diagnosis was derived by analyzing data from Collaborative Psychiatric Epidemiology Surveys, a multistage probability sample of adults (n=20 013; age ≥ 18 years) in coterminous USA, Alaska and Hawaii. The old and the newly suggested MDD definitions were compared for their associated disability (WHO Disability Assessment Schedule and number of disability days in past month), suicide attempt, and other covariates. Our data-driven definition for major depression was "lack of interest to all or most things" plus four other symptoms from the set {weight gain, weight loss, insomnia, psychomotor retardation, fatigue, feelings of worthlessness, diminished ability to think/concentrate, suicidal ideation/attempt}. The new definition captured all the disability implied by MDD and excluded cases that showed no greater disability than the general population nor increased risk of suicide attempts. The lifetime prevalence of the new diagnosis was 14.7% (95% CI=14-15.4%) of the population, slightly less than for the old definition (16.4%; CI=15.4-17.3%). Only conservative modifications of MDD could be studied, because of restrictions in the symptom data. With only small adjusting, the new definition for major depression may be more clinically relevant than the old one, and could serve as a conservative replacement for the old definition. Copyright © 2016 Elsevier B.V. All rights reserved.

Appropriate methodologies for empirical bioethics: it's all relative.

PubMed

Ives, Jonathan; Draper, Heather

2009-05-01

In this article we distinguish between philosophical bioethics (PB), descriptive policy orientated bioethics (DPOB) and normative policy oriented bioethics (NPOB). We argue that finding an appropriate methodology for combining empirical data and moral theory depends on what the aims of the research endeavour are, and that, for the most part, this combination is only required for NPOB. After briefly discussing the debate around the is/ought problem, and suggesting that both sides of this debate are misunderstanding one another (i.e. one side treats it as a conceptual problem, whilst the other treats it as an empirical claim), we outline and defend a methodological approach to NPOB based on work we have carried out on a project exploring the normative foundations of paternal rights and responsibilities. We suggest that given the prominent role already played by moral intuition in moral theory, one appropriate way to integrate empirical data and philosophical bioethics is to utilize empirically gathered lay intuition as the foundation for ethical reasoning in NPOB. The method we propose involves a modification of a long-established tradition on non-intervention in qualitative data gathering, combined with a form of reflective equilibrium where the demands of theory and data are given equal weight and a pragmatic compromise reached.

Avian and Herpetological Survey Results for Fairchild Air Force Base and Ancillary Properties

DTIC Science & Technology

2014-10-02

unlimited. The US Army Engineer Research and Development Center (ERDC) solves the nation’s toughest engineering and environmental challenges. ERDC...Herpetological Survey Results for Fairchild Air Force Base and Ancillary Properties Jinelle H. Sperry Construction Engineering Research Laboratory (CERL) US ...Air Force Base (FAFB) and used survey results to extrapolate guidelines for species management. DISCLAIMER: The contents of this report are not to be

An empirical potential for simulating vacancy clusters in tungsten.

PubMed

Mason, D R; Nguyen-Manh, D; Becquart, C S

2017-12-20

We present an empirical interatomic potential for tungsten, particularly well suited for simulations of vacancy-type defects. We compare energies and structures of vacancy clusters generated with the empirical potential with an extensive new database of values computed using density functional theory, and show that the new potential predicts low-energy defect structures and formation energies with high accuracy. A significant difference to other popular embedded-atom empirical potentials for tungsten is the correct prediction of surface energies. Interstitial properties and short-range pairwise behaviour remain similar to the Ackford-Thetford potential on which it is based, making this potential well-suited to simulations of microstructural evolution following irradiation damage cascades. Using atomistic kinetic Monte Carlo simulations, we predict vacancy cluster dissociation in the range 1100-1300 K, the temperature range generally associated with stage IV recovery.

Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods

NASA Astrophysics Data System (ADS)

Runnova, Anastasiya E.; Grubov, Vadim V.; Khramova, Marina V.; Hramov, Alexander E.

2017-04-01

In the paper we propose the new method for removing noise and physiological artifacts in human EEG recordings based on empirical mode decomposition (Hilbert-Huang transform). As physiological artifacts we consider specific oscillatory patterns that cause problems during EEG analysis and can be detected with additional signals recorded simultaneously with EEG (ECG, EMG, EOG, etc.) We introduce the algorithm of the proposed method with steps including empirical mode decomposition of EEG signal, choosing of empirical modes with artifacts, removing these empirical modes and reconstructing of initial EEG signal. We show the efficiency of the method on the example of filtration of human EEG signal from eye-moving artifacts.

Voice Disorder Management Competencies: A Survey of School-Based Speech-Language Pathologists in Nebraska

ERIC Educational Resources Information Center

Teten, Amy F.; DeVeney, Shari L.; Friehe, Mary J.

2016-01-01

Purpose: The purpose of this survey was to determine the self-perceived competence levels in voice disorders of practicing school-based speech-language pathologists (SLPs) and identify correlated variables. Method: Participants were 153 master's level, school-based SLPs with a Nebraska teaching certificate and/or licensure who completed a survey,…

Going Global: A Model for Evaluating Empirically Supported Family-Based Interventions in New Contexts.

PubMed

Sundell, Knut; Ferrer-Wreder, Laura; Fraser, Mark W

2014-06-01

The spread of evidence-based practice throughout the world has resulted in the wide adoption of empirically supported interventions (ESIs) and a growing number of controlled trials of imported and culturally adapted ESIs. This article is informed by outcome research on family-based interventions including programs listed in the American Blueprints Model and Promising Programs. Evidence from these controlled trials is mixed and, because it is comprised of both successful and unsuccessful replications of ESIs, it provides clues for the translation of promising programs in the future. At least four explanations appear plausible for the mixed results in replication trials. One has to do with methodological differences across trials. A second deals with ambiguities in the cultural adaptation process. A third explanation is that ESIs in failed replications have not been adequately implemented. A fourth source of variation derives from unanticipated contextual influences that might affect the effects of ESIs when transported to other cultures and countries. This article describes a model that allows for the differential examination of adaptations of interventions in new cultural contexts. © The Author(s) 2012.

A hybrid filtering method based on a novel empirical mode decomposition for friction signals

NASA Astrophysics Data System (ADS)

Li, Chengwei; Zhan, Liwei

2015-12-01

During a measurement, the measured signal usually contains noise. To remove the noise and preserve the important feature of the signal, we introduce a hybrid filtering method that uses a new intrinsic mode function (NIMF) and a modified Hausdorff distance. The NIMF is defined as the difference between the noisy signal and each intrinsic mode function (IMF), which is obtained by empirical mode decomposition (EMD), ensemble EMD, complementary ensemble EMD, or complete ensemble EMD with adaptive noise (CEEMDAN). The relevant mode selecting is based on the similarity between the first NIMF and the rest of the NIMFs. With this filtering method, the EMD and improved versions are used to filter the simulation and friction signals. The friction signal between an airplane tire and the runaway is recorded during a simulated airplane touchdown and features spikes of various amplitudes and noise. The filtering effectiveness of the four hybrid filtering methods are compared and discussed. The results show that the filtering method based on CEEMDAN outperforms other signal filtering methods.

Filtration of human EEG recordings from physiological artifacts with empirical mode method

NASA Astrophysics Data System (ADS)

Grubov, Vadim V.; Runnova, Anastasiya E.; Khramova, Marina V.

2017-03-01

In the paper we propose the new method for dealing with noise and physiological artifacts in experimental human EEG recordings. The method is based on analysis of EEG signals with empirical mode decomposition (Hilbert-Huang transform). We consider noises and physiological artifacts on EEG as specific oscillatory patterns that cause problems during EEG analysis and can be detected with additional signals recorded simultaneously with EEG (ECG, EMG, EOG, etc.) We introduce the algorithm of the method with following steps: empirical mode decomposition of EEG signal, choosing of empirical modes with artifacts, removing empirical modes with artifacts, reconstruction of the initial EEG signal. We test the method on filtration of experimental human EEG signals from eye-moving artifacts and show high efficiency of the method.

Future scenarios of land change based on empirical data and demographic trends

USGS Publications Warehouse

Sleeter, Benjamin M.; Wilson, Tamara; Sharygin, Ethan; Sherba, Jason

2017-01-01

Changes in land use and land cover (LULC) have important and fundamental interactions with the global climate system. Top-down global scale projections of land use change have been an important component of climate change research; however, their utility at local to regional scales is often limited. The goal of this study was to develop an approach for projecting changes in LULC based on land use histories and demographic trends. We developed a set of stochastic, empirical-based projections of LULC change for the state of California, for the period 2001–2100. Land use histories and demographic trends were used to project a “business-as-usual” (BAU) scenario and three population growth scenarios. For the BAU scenario, we projected developed lands would more than double by 2100. When combined with cultivated areas, we projected a 28% increase in anthropogenic land use by 2100. As a result, natural lands were projected to decline at a rate of 139 km2 yr−1; grasslands experienced the largest net decline, followed by shrublands and forests. The amount of cultivated land was projected to decline by approximately 10%; however, the relatively modest change masked large shifts between annual and perennial crop types. Under the three population scenarios, developed lands were projected to increase 40–90% by 2100. Our results suggest that when compared to the BAU projection, scenarios based on demographic trends may underestimate future changes in LULC. Furthermore, regardless of scenario, the spatial pattern of LULC change was likely to have the greatest negative impacts on rangeland ecosystems.

Future Scenarios of Land Change Based on Empirical Data and Demographic Trends

NASA Astrophysics Data System (ADS)

Sleeter, Benjamin M.; Wilson, Tamara S.; Sharygin, Ethan; Sherba, Jason T.

2017-11-01

Changes in land use and land cover (LULC) have important and fundamental interactions with the global climate system. Top-down global scale projections of land use change have been an important component of climate change research; however, their utility at local to regional scales is often limited. The goal of this study was to develop an approach for projecting changes in LULC based on land use histories and demographic trends. We developed a set of stochastic, empirical-based projections of LULC change for the state of California, for the period 2001-2100. Land use histories and demographic trends were used to project a "business-as-usual" (BAU) scenario and three population growth scenarios. For the BAU scenario, we projected developed lands would more than double by 2100. When combined with cultivated areas, we projected a 28% increase in anthropogenic land use by 2100. As a result, natural lands were projected to decline at a rate of 139 km2 yr-1; grasslands experienced the largest net decline, followed by shrublands and forests. The amount of cultivated land was projected to decline by approximately 10%; however, the relatively modest change masked large shifts between annual and perennial crop types. Under the three population scenarios, developed lands were projected to increase 40-90% by 2100. Our results suggest that when compared to the BAU projection, scenarios based on demographic trends may underestimate future changes in LULC. Furthermore, regardless of scenario, the spatial pattern of LULC change was likely to have the greatest negative impacts on rangeland ecosystems.

Empirically based Suggested Insights into the Concept of False-Self Defense: Contributions From a Study on Normalization of Children With Disabilities.

PubMed

Eichengreen, Adva; Hoofien, Dan; Bachar, Eytan

2016-02-01

The concept of the false self has been used widely in psychoanalytic theory and practice but seldom in empirical research. In this empirically based study, elevated features of false-self defense were hypothetically associated with risk factors attendant on processes of rehabilitation and integration of children with disabilities, processes that encourage adaptation of the child to the able-bodied environment. Self-report questionnaires and in-depth interviews were conducted with 88 deaf and hard-of-hearing students and a comparison group of 88 hearing counterparts. Results demonstrate that despite the important contribution of rehabilitation and integration to the well-being of these children, these efforts may put the child at risk of increased use of the false-self defense. The empirical findings suggest two general theoretical conclusions: (1) The Winnicottian concept of the environment, usually confined to the parent-child relationship, can be understood more broadly as including cultural, social, and rehabilitational variables that both influence the parent-child relationship and operate independently of it. (2) The monolithic conceptualization of the false self may be more accurately unpacked to reveal two distinct subtypes: the compliant and the split false self. © 2016 by the American Psychoanalytic Association.

An empirically based steady state friction law and implications for fault stability

PubMed Central

Nielsen, S.; Violay, M.; Di Toro, G.

2016-01-01

Abstract Empirically based rate‐and‐state friction laws (RSFLs) have been proposed to model the dependence of friction forces with slip and time. The relevance of the RSFL for earthquake mechanics is that few constitutive parameters define critical conditions for fault stability (i.e., critical stiffness and frictional fault behavior). However, the RSFLs were determined from experiments conducted at subseismic slip rates (V < 1 cm/s), and their extrapolation to earthquake deformation conditions (V > 0.1 m/s) remains questionable on the basis of the experimental evidence of (1) large dynamic weakening and (2) activation of particular fault lubrication processes at seismic slip rates. Here we propose a modified RSFL (MFL) based on the review of a large published and unpublished data set of rock friction experiments performed with different testing machines. The MFL, valid at steady state conditions from subseismic to seismic slip rates (0.1 µm/s < V < 3 m/s), describes the initiation of a substantial velocity weakening in the 1–20 cm/s range resulting in a critical stiffness increase that creates a peak of potential instability in that velocity regime. The MFL leads to a new definition of fault frictional stability with implications for slip event styles and relevance for models of seismic rupture nucleation, propagation, and arrest. PMID:27667875

Automatic vetting of planet candidates from ground based surveys: Machine learning with NGTS

NASA Astrophysics Data System (ADS)

Armstrong, David J.; Günther, Maximilian N.; McCormac, James; Smith, Alexis M. S.; Bayliss, Daniel; Bouchy, François; Burleigh, Matthew R.; Casewell, Sarah; Eigmüller, Philipp; Gillen, Edward; Goad, Michael R.; Hodgkin, Simon T.; Jenkins, James S.; Louden, Tom; Metrailler, Lionel; Pollacco, Don; Poppenhaeger, Katja; Queloz, Didier; Raynard, Liam; Rauer, Heike; Udry, Stéphane; Walker, Simon R.; Watson, Christopher A.; West, Richard G.; Wheatley, Peter J.

2018-05-01

State of the art exoplanet transit surveys are producing ever increasing quantities of data. To make the best use of this resource, in detecting interesting planetary systems or in determining accurate planetary population statistics, requires new automated methods. Here we describe a machine learning algorithm that forms an integral part of the pipeline for the NGTS transit survey, demonstrating the efficacy of machine learning in selecting planetary candidates from multi-night ground based survey data. Our method uses a combination of random forests and self-organising-maps to rank planetary candidates, achieving an AUC score of 97.6% in ranking 12368 injected planets against 27496 false positives in the NGTS data. We build on past examples by using injected transit signals to form a training set, a necessary development for applying similar methods to upcoming surveys. We also make the autovet code used to implement the algorithm publicly accessible. autovet is designed to perform machine learned vetting of planetary candidates, and can utilise a variety of methods. The apparent robustness of machine learning techniques, whether on space-based or the qualitatively different ground-based data, highlights their importance to future surveys such as TESS and PLATO and the need to better understand their advantages and pitfalls in an exoplanetary context.

Mind the Mode: Differences in Paper vs. Web-Based Survey Modes Among Women With Cancer.

PubMed

Hagan, Teresa L; Belcher, Sarah M; Donovan, Heidi S

2017-09-01

Researchers administering surveys seek to balance data quality, sources of error, and practical concerns when selecting an administration mode. Rarely are decisions about survey administration based on the background of study participants, although socio-demographic characteristics like age, education, and race may contribute to participants' (non)responses. In this study, we describe differences in paper- and web-based surveys administered in a national cancer survivor study of women with a history of cancer to compare the ability of each survey administrative mode to provide quality, generalizable data. We compared paper- and web-based survey data by socio-demographic characteristics of respondents, missing data rates, scores on primary outcome measure, and administrative costs and time using descriptive statistics, tests of mean group differences, and linear regression. Our findings indicate that more potentially vulnerable patients preferred paper questionnaires and that data quality, responses, and costs significantly varied by mode and participants' demographic information. We provide targeted suggestions for researchers conducting survey research to reduce survey error and increase generalizability of study results to the patient population of interest. Researchers must carefully weigh the pros and cons of survey administration modes to ensure a representative sample and high-quality data. Copyright © 2017 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Research Techniques Made Simple: Web-Based Survey Research in Dermatology: Conduct and Applications.

PubMed

Maymone, Mayra B C; Venkatesh, Samantha; Secemsky, Eric; Reddy, Kavitha; Vashi, Neelam A

2018-07-01

Web-based surveys, or e-surveys, are surveys designed and delivered using the internet. The use of these survey tools is becoming increasingly common in medical research. Their advantages are appealing to surveyors because they allow for rapid development and administration of surveys, fast data collection and analysis, low cost, and fewer errors due to manual data entry than telephone or mailed questionnaires. Internet surveys may be used in clinical and academic research settings with improved speed and efficacy of data collection compared with paper or verbal survey modalities. However, limitations such as potentially low response rates, demographic biases, and variations in computer literacy and internet access remain areas of concern. We aim to briefly describe some of the currently available Web-based survey tools, focusing on advantages and limitations to help guide their use and application in dermatologic research. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Converging Paradigms: A Reflection on Parallel Theoretical Developments in Psychoanalytic Metapsychology and Empirical Dream Research.

PubMed

Schmelowszky, Ágoston

2016-08-01

In the last decades one can perceive a striking parallelism between the shifting perspective of leading representatives of empirical dream research concerning their conceptualization of dreaming and the paradigm shift within clinically based psychoanalytic metapsychology with respect to its theory on the significance of dreaming. In metapsychology, dreaming becomes more and more a central metaphor of mental functioning in general. The theories of Klein, Bion, and Matte-Blanco can be considered as milestones of this paradigm shift. In empirical dream research, the competing theories of Hobson and of Solms respectively argued for and against the meaningfulness of the dream-work in the functioning of the mind. In the meantime, empirical data coming from various sources seemed to prove the significance of dream consciousness for the development and maintenance of adaptive waking consciousness. Metapsychological speculations and hypotheses based on empirical research data seem to point in the same direction, promising for contemporary psychoanalytic practice a more secure theoretical base. In this paper the author brings together these diverse theoretical developments and presents conclusions regarding psychoanalytic theory and technique, as well as proposing an outline of an empirical research plan for testing the specificity of psychoanalysis in developing dream formation.

Family environment, expressed emotion and adolescent self-harm: a review of conceptual, empirical, cross-cultural and clinical perspectives.

PubMed

Michelson, Daniel; Bhugra, Dinesh

2012-04-01

Self-harm in young people is a complex and pervasive problem with a number of co-existing risk factors. Although research has implicated a range of family variables in understanding the onset, maintenance and prevention of adolescent self-harm, relatively little attention has been given to the expressed emotion (EE) construct. Based on a narrative review and synthesis of peer-reviewed literature up to and including 2011, this paper considers the conceptual background and empirical evidence for the role of family environment in the expression of adolescent self-harm, with a particular focus on EE. The clinical implications of this literature for working with young people and families from different cultures are also addressed. In summary, the surveyed research provides insufficient evidence for a direct causal link between family environment and adolescent self-harm, with questions raised about the temporal sequencing of measured variables, specificity of implicated family risk factors, and the nature and role of protective factors in families. Emerging evidence for an association between high EE and adolescent self-harm requires replication in well-controlled, prospective studies. There is also a lack of empirically-supported, family-based treatment modalities for adolescents who self-harm. Intervention strategies should be guided by personalised formulation, taking into account individual vulnerabilities, strengths and social contexts, as well as cultural norms for family environment.

Comparison of Precision of Biomass Estimates in Regional Field Sample Surveys and Airborne LiDAR-Assisted Surveys in Hedmark County, Norway

NASA Technical Reports Server (NTRS)

Naesset, Erik; Gobakken, Terje; Bollandsas, Ole Martin; Gregoire, Timothy G.; Nelson, Ross; Stahl, Goeran

2013-01-01

Airborne scanning LiDAR (Light Detection and Ranging) has emerged as a promising tool to provide auxiliary data for sample surveys aiming at estimation of above-ground tree biomass (AGB), with potential applications in REDD forest monitoring. For larger geographical regions such as counties, states or nations, it is not feasible to collect airborne LiDAR data continuously ("wall-to-wall") over the entire area of interest. Two-stage cluster survey designs have therefore been demonstrated by which LiDAR data are collected along selected individual flight-lines treated as clusters and with ground plots sampled along these LiDAR swaths. Recently, analytical AGB estimators and associated variance estimators that quantify the sampling variability have been proposed. Empirical studies employing these estimators have shown a seemingly equal or even larger uncertainty of the AGB estimates obtained with extensive use of LiDAR data to support the estimation as compared to pure field-based estimates employing estimators appropriate under simple random sampling (SRS). However, comparison of uncertainty estimates under SRS and sophisticated two-stage designs is complicated by large differences in the designs and assumptions. In this study, probability-based principles to estimation and inference were followed. We assumed designs of a field sample and a LiDAR-assisted survey of Hedmark County (HC) (27,390 km2), Norway, considered to be more comparable than those assumed in previous studies. The field sample consisted of 659 systematically distributed National Forest Inventory (NFI) plots and the airborne scanning LiDAR data were collected along 53 parallel flight-lines flown over the NFI plots. We compared AGB estimates based on the field survey only assuming SRS against corresponding estimates assuming two-phase (double) sampling with LiDAR and employing model-assisted estimators. We also compared AGB estimates based on the field survey only assuming two-stage sampling (the NFI

Global validation of empirically corrected EP-Total Ozone Mapping Spectrometer (TOMS) total ozone columns using Brewer and Dobson ground-based measurements

NASA Astrophysics Data System (ADS)

Antón, M.; Koukouli, M. E.; Kroon, M.; McPeters, R. D.; Labow, G. J.; Balis, D.; Serrano, A.

2010-10-01

This article focuses on the global-scale validation of the empirically corrected Version 8 total ozone column data set acquired by the NASA Total Ozone Mapping Spectrometer (TOMS) during the period 1996-2004 when this instrument was flying aboard the Earth Probe (EP) satellite platform. This analysis is based on the use of spatially co-located, ground-based measurements from Dobson and Brewer spectrophotometers. The original EP-TOMS V8 total ozone column data set was also validated with these ground-based measurements to quantify the improvements made by the empirical correction that was necessary as a result of instrumental degradation issues occurring from the year 2000 onward that were uncorrectable by normal calibration techniques. EP-TOMS V8-corrected total ozone data present a remarkable improvement concerning the significant negative bias of around ˜3% detected in the original EP-TOMS V8 observations after the year 2000. Neither the original nor the corrected EP-TOMS satellite total ozone data sets show a significant dependence on latitude. In addition, both EP-TOMS satellite data sets overestimate the Brewer measurements for small solar zenith angles (SZA) and underestimate for large SZA, explaining a significant seasonality (˜1.5%) for cloud-free and cloudy conditions. Conversely, relative differences between EP-TOMS and Dobson present almost no dependence on SZA for cloud-free conditions and a strong dependence for cloudy conditions (from +2% for small SZA to -1% for high SZA). The dependence of the satellite ground-based relative differences on total ozone shows good agreement for column values above 250 Dobson units. Our main conclusion is that the upgrade to TOMS V8-corrected total ozone data presents a remarkable improvement. Nevertheless, despite its quality, the EP-TOMS data for the period 2000-2004 should not be used as a source for trend analysis since EP-TOMS ozone trends are empirically corrected using NOAA-16 and NOAA-17 solar backscatter

Probabilistic empirical prediction of seasonal climate: evaluation and potential applications

NASA Astrophysics Data System (ADS)

Dieppois, B.; Eden, J.; van Oldenborgh, G. J.

2017-12-01

Preparing for episodes with risks of anomalous weather a month to a year ahead is an important challenge for governments, non-governmental organisations, and private companies and is dependent on the availability of reliable forecasts. The majority of operational seasonal forecasts are made using process-based dynamical models, which are complex, computationally challenging and prone to biases. Empirical forecast approaches built on statistical models to represent physical processes offer an alternative to dynamical systems and can provide either a benchmark for comparison or independent supplementary forecasts. Here, we present a new evaluation of an established empirical system used to predict seasonal climate across the globe. Forecasts for surface air temperature, precipitation and sea level pressure are produced by the KNMI Probabilistic Empirical Prediction (K-PREP) system every month and disseminated via the KNMI Climate Explorer (climexp.knmi.nl). K-PREP is based on multiple linear regression and built on physical principles to the fullest extent with predictive information taken from the global CO2-equivalent concentration, large-scale modes of variability in the climate system and regional-scale information. K-PREP seasonal forecasts for the period 1981-2016 will be compared with corresponding dynamically generated forecasts produced by operational forecast systems. While there are many regions of the world where empirical forecast skill is extremely limited, several areas are identified where K-PREP offers comparable skill to dynamical systems. We discuss two key points in the future development and application of the K-PREP system: (a) the potential for K-PREP to provide a more useful basis for reference forecasts than those based on persistence or climatology, and (b) the added value of including K-PREP forecast information in multi-model forecast products, at least for known regions of good skill. We also discuss the potential development of

Factors influencing evidence-based practice in prosthetics and orthotics.

PubMed

Andrysek, Jan; Christensen, James; Dupuis, Annie

2011-03-01

The importance of evidence-based practice is being recognized across a broad range of healthcare disciplines as a means for improving patient outcomes and also efficiently managing healthcare resources. The objective of this work was to obtain information from clinicians about the underlying barriers and facilitators relating to evidence-based practice in prosthetics and orthotics. Cross sectional survey. An internet survey was developed and distributed to 300 prosthetists and orthotists currently practicing in Canada. A principal component factor analysis of the survey results revealed ten primary factors affecting evidence-based practice. These include time constraints, workload and system demands, limited relevant evidence from research, and gaps in skills and knowledge required to perform evidence-based practice. Clinicians value research as a means of improving clinical practice, but they are faced with a number of practical barriers in performing evidence-based practice. This study provides empirical data about the underlying barriers and facilitators relating to evidence-based practice in prosthetics and orthotics. Such data are essential in order to inform those involved in improving existing clinical practices, including educators, professional organizations, and governing bodies.

Empirical evidences of owners’ managerial behaviour - the case of small companies

NASA Astrophysics Data System (ADS)

Lobontiu, G.; Banica, M.; Ravai-Nagy, S.

2017-05-01

In a small firm, the founder or the owner-manager often leaves his or her own personal “stamp” on the way things are done, finding solutions for the multitude of problems the firm faces, and maintaining control over the firm’s operations. The paper aims to investigate the degree to which the owner-managers are controlling the operations of their firm on a day-to-day basis or even getting involved into the management of the functional areas. Our empirical research, conducted on a sample of 200 small and medium-sized enterprises (SME) from the North-Western Romania, Maramures (NUTS3 level - RO114), shows that owner-managers tend to be all-powerful, making decisions based on their experience. Furthermore, the survey highlights the focus of owner-managers on two functional areas, namely the production, and sales and marketing. Finally, the correlation analysis states that in the case of small firms, the owner-manager is more involved in managing the functional areas of the firm, as compared to the medium-ones.

Empirical Investigation of Critical Transitions in Paleoclimate

NASA Astrophysics Data System (ADS)

Loskutov, E. M.; Mukhin, D.; Gavrilov, A.; Feigin, A.

2016-12-01

In this work we apply a new empirical method for the analysis of complex spatially distributed systems to the analysis of paleoclimate data. The method consists of two general parts: (i) revealing the optimal phase-space variables and (ii) construction the empirical prognostic model by observed time series. The method of phase space variables construction based on the data decomposition into nonlinear dynamical modes which was successfully applied to global SST field and allowed clearly separate time scales and reveal climate shift in the observed data interval [1]. The second part, the Bayesian approach to optimal evolution operator reconstruction by time series is based on representation of evolution operator in the form of nonlinear stochastic function represented by artificial neural networks [2,3]. In this work we are focused on the investigation of critical transitions - the abrupt changes in climate dynamics - in match longer time scale process. It is well known that there were number of critical transitions on different time scales in the past. In this work, we demonstrate the first results of applying our empirical methods to analysis of paleoclimate variability. In particular, we discuss the possibility of detecting, identifying and prediction such critical transitions by means of nonlinear empirical modeling using the paleoclimate record time series. The study is supported by Government of Russian Federation (agreement #14.Z50.31.0033 with the Institute of Applied Physics of RAS). 1. Mukhin, D., Gavrilov, A., Feigin, A., Loskutov, E., & Kurths, J. (2015). Principal nonlinear dynamical modes of climate variability. Scientific Reports, 5, 15510. http://doi.org/10.1038/srep155102. Ya. I. Molkov, D. N. Mukhin, E. M. Loskutov, A.M. Feigin, (2012) : Random dynamical models from time series. Phys. Rev. E, Vol. 85, n.3.3. Mukhin, D., Kondrashov, D., Loskutov, E., Gavrilov, A., Feigin, A., & Ghil, M. (2015). Predicting Critical Transitions in ENSO models. Part II

Development of the diabetes typology model for discerning Type 2 diabetes mellitus with national survey data.

PubMed

Bellatorre, Anna; Jackson, Sharon H; Choi, Kelvin

2017-01-01

To classify individuals with diabetes mellitus (DM) into DM subtypes using population-based studies. Population-based survey. Individuals participated in 2003-2004, 2005-2006, or 2009-2010 the National Health and Nutrition Examination Survey (NHANES), and 2010 Coronary Artery Risk Development in Young Adults (CARDIA) survey (research materials obtained from the National Heart, Lung, and Blood Institute Biologic Specimen and Data Repository Information Coordinating Center). 3084, 3040 and 3318 US adults from the 2003-2004, 2005-2006 and 2009-2010 NHANES samples respectively, and 5,115 US adults in the CARDIA cohort. We proposed the Diabetes Typology Model (DTM) through the use of six composite measures based on the Homeostatic Model Assessment (HOMA-IR, HOMA-%β, high HOMA-%S), insulin and glucose levels, and body mass index and conducted latent class analyses to empirically classify individuals into different classes. Three empirical latent classes consistently emerged across studies (entropy = 0.81-0.998). These three classes were likely Type 1 DM, likely Type 2 DM, and atypical DM. The classification has high sensitivity (75.5%), specificity (83.3%), and positive predictive value (97.4%) when validated against C-peptide level. Correlates of Type 2 DM were significantly associated with model-identified Type 2 DM. Compared to regression analysis on known correlates of Type 2 DM using all diabetes cases as outcomes, using DTM to remove likely Type 1 DM and atypical DM cases results in a 2.5-5.3% r-square improvement in the regression analysis, as well as model fits as indicated by significant improvement in -2 log likelihood (p<0.01). Lastly, model-defined likely Type 2 DM was significantly associated with known correlates of Type 2 DM (e.g., age, waist circumference), which provide additional validation of the DTM-defined classes. Our Diabetes Typology Model reflects a promising first step toward discerning likely DM types from population-based data. This novel

Incentive and Reminder Strategies to Improve Response Rate for Internet-Based Physician Surveys: A Randomized Experiment

PubMed Central

Wittich, Christopher M; Daniels, Wendlyn L; West, Colin P; Harris, Ann M; Beebe, Timothy J

2016-01-01

Background Most research on how to enhance response rates in physician surveys has been done using paper surveys. Uncertainties remain regarding how to enhance response rates in Internet-based surveys. Objective To evaluate the impact of a low-cost nonmonetary incentive and paper mail reminders (formal letter and postcard) on response rates in Internet-based physician surveys. Methods We executed a factorial-design randomized experiment while conducting a nationally representative Internet-based physician survey. We invited 3966 physicians (randomly selected from a commercial database of all licensed US physicians) via email to complete an Internet-based survey. We used 2 randomly assigned email messages: one message offered a book upon survey completion, whereas the other did not mention the book but was otherwise identical. All nonrespondents received several email reminders. Some physicians were further assigned at random to receive 1 reminder via paper mail (either a postcard or a letter) or no paper reminder. The primary outcome of this study was the survey response rate. Results Of the 3966 physicians who were invited, 451 (11.4%) responded to at least one survey question and 336 (8.5%) completed the entire survey. Of those who were offered a book, 345/2973 (11.6%) responded compared with 106/993 (10.7%) who were not offered a book (odds ratio 1.10, 95% CI 0.87-1.38, P=.42). Regarding the paper mail reminder, 168/1572 (10.7%) letter recipients, 148/1561 (9.5%) postcard recipients, and 69/767 (9.0%) email-only recipients responded (P=.35). The response rate for those receiving letters or postcards was similar (odds ratio 1.14, 95% CI 0.91-1.44, P=.26). Conclusions Offering a modest nonmonetary incentive and sending a paper reminder did not improve survey response rate. Further research on how to enhance response rates in Internet-based physician surveys is needed. PMID:27637296

Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts.

PubMed

Zheng, Kai; Fear, Kathleen; Chaffee, Bruce W; Zimmerman, Christopher R; Karls, Edward M; Gatwood, Justin D; Stevenson, James G; Pearlman, Mark D

2011-12-01

To develop a theoretically informed and empirically validated survey instrument for assessing prescribers' perception of computerized drug-drug interaction (DDI) alerts. The survey is grounded in the unified theory of acceptance and use of technology and an adapted accident causation model. Development of the instrument was also informed by a review of the extant literature on prescribers' attitude toward computerized medication safety alerts and common prescriber-provided reasons for overriding. To refine and validate the survey, we conducted a two-stage empirical validation study consisting of a pretest with a panel of domain experts followed by a field test among all eligible prescribers at our institution. The resulting survey instrument contains 28 questionnaire items assessing six theoretical dimensions: performance expectancy, effort expectancy, social influence, facilitating conditions, perceived fatigue, and perceived use behavior. Satisfactory results were obtained from the field validation; however, a few potential issues were also identified. We analyzed these issues accordingly and the results led to the final survey instrument as well as usage recommendations. High override rates of computerized medication safety alerts have been a prevalent problem. They are usually caused by, or manifested in, issues of poor end user acceptance. However, standardized research tools for assessing and understanding end users' perception are currently lacking, which inhibits knowledge accumulation and consequently forgoes improvement opportunities. The survey instrument presented in this paper may help fill this methodological gap. We developed and empirically validated a survey instrument that may be useful for future research on DDI alerts and other types of computerized medication safety alerts more generally.

Recruiting Pregnant Patients for Survey Research: A Head to Head Comparison of Social Media-Based Versus Clinic-Based Approaches.

PubMed

Admon, Lindsay; Haefner, Jessica K; Kolenic, Giselle E; Chang, Tammy; Davis, Matthew M; Moniz, Michelle H

2016-12-21

Recruiting a diverse sample of pregnant women for clinical research is a challenging but crucial task for improving obstetric services and maternal and child health outcomes. To compare the feasibility and cost of recruiting pregnant women for survey research using social media-based and clinic-based approaches. Advertisements were used to recruit pregnant women from the social media website Facebook. In-person methods were used to recruit pregnant women from the outpatient clinic of a large, tertiary care center. In both approaches, potential respondents were invited to participate in a 15-minute Web-based survey. Each recruitment method was monitored for 1 month. Using bivariate statistics, we compared the number, demographic characteristics, and health characteristics of women recruited and the cost per completed survey for each recruitment method. The social media-based approach recruited 1178 women and the clinic-based approach recruited 219 women. A higher proportion of subjects recruited through social media identified as African American (29.4%, 207/705 vs 11.2%, 20/179), reported household incomes based recruitment costs were US $14.63 per completed survey, compared with US $23.51 for clinic-based recruitment. Web-based recruitment through a social networking platform is a feasible, inexpensive, and rapid means of recruiting a large, diverse sample of pregnant women for survey research. ©Lindsay Admon, Jessica K Haefner, Giselle E Kolenic, Tammy Chang, Matthew M Davis, Michelle H Moniz. Originally

Recruiting Pregnant Patients for Survey Research: A Head to Head Comparison of Social Media-Based Versus Clinic-Based Approaches

PubMed Central

Haefner, Jessica K; Kolenic, Giselle E; Chang, Tammy; Davis, Matthew M; Moniz, Michelle H

2016-01-01

Background Recruiting a diverse sample of pregnant women for clinical research is a challenging but crucial task for improving obstetric services and maternal and child health outcomes. Objective To compare the feasibility and cost of recruiting pregnant women for survey research using social media-based and clinic-based approaches. Methods Advertisements were used to recruit pregnant women from the social media website Facebook. In-person methods were used to recruit pregnant women from the outpatient clinic of a large, tertiary care center. In both approaches, potential respondents were invited to participate in a 15-minute Web-based survey. Each recruitment method was monitored for 1 month. Using bivariate statistics, we compared the number, demographic characteristics, and health characteristics of women recruited and the cost per completed survey for each recruitment method. Results The social media-based approach recruited 1178 women and the clinic-based approach recruited 219 women. A higher proportion of subjects recruited through social media identified as African American (29.4%, 207/705 vs 11.2%, 20/179), reported household incomes based recruitment costs were US $14.63 per completed survey, compared with US $23.51 for clinic-based recruitment. Conclusions Web-based recruitment through a social networking platform is a feasible, inexpensive, and rapid means of recruiting a large, diverse sample of pregnant women for survey research. PMID:28003174

How magnetic are Finnish hospitals measured by transformational leadership and empirical quality outcomes?

PubMed

Kvist, Tarja; Mäntynen, Raija; Turunen, Hannele; Partanen, Pirjo; Miettinen, Merja; Wolf, Gail A; Vehviläinen-Julkunen, Katri

2013-01-01

  The overall aim of this study was to examine nurses' and patients' perceptions of the Magnet model components of transformational leadership and empirical quality outcomes in four Finnish hospitals and to determine if the evidence for transformational leadership and empirical quality outcomes is the same or different in the four hospitals.   This report presents baseline measurements for a longitudinal study of the adaptation of the Magnet model in Finnish hospitals.   Web-based surveys and mailed questionnaires were used in 2008-2009 to collect data from patients (n = 2566) about their satisfaction with care, and from nursing staff about transformational leadership (n = 1151), job satisfaction (n = 2707) and patient safety culture (n = 925) in the selected hospitals.   Awareness of the work of nursing leaders was low. Nurses reported a high level of job satisfaction. Patient safety culture varied considerably between the four hospitals. Patients believed they generally received excellent quality care.   Leadership systems are in transition at the hospitals. Patient safety culture is a complex phenomenon that may be unfamiliar to respondents. The results of the study provide a baseline description to guide the journey toward development of Magnet standards.   Finnish nursing leaders, especially nursing directors, should increase their visibility by working more closely with their staff. They should also pay attention to giving direct feedback about work generally and patient safety issues in particular. © 2012 Blackwell Publishing Ltd.

Empirical Correction to the Likelihood Ratio Statistic for Structural Equation Modeling with Many Variables.

PubMed

Yuan, Ke-Hai; Tian, Yubin; Yanagihara, Hirokazu

2015-06-01

Survey data typically contain many variables. Structural equation modeling (SEM) is commonly used in analyzing such data. The most widely used statistic for evaluating the adequacy of a SEM model is T ML, a slight modification to the likelihood ratio statistic. Under normality assumption, T ML approximately follows a chi-square distribution when the number of observations (N) is large and the number of items or variables (p) is small. However, in practice, p can be rather large while N is always limited due to not having enough participants. Even with a relatively large N, empirical results show that T ML rejects the correct model too often when p is not too small. Various corrections to T ML have been proposed, but they are mostly heuristic. Following the principle of the Bartlett correction, this paper proposes an empirical approach to correct T ML so that the mean of the resulting statistic approximately equals the degrees of freedom of the nominal chi-square distribution. Results show that empirically corrected statistics follow the nominal chi-square distribution much more closely than previously proposed corrections to T ML, and they control type I errors reasonably well whenever N ≥ max(50,2p). The formulations of the empirically corrected statistics are further used to predict type I errors of T ML as reported in the literature, and they perform well.

Comparing and Contrasting Consensus versus Empirical Domains

PubMed Central

Jason, Leonard A.; Kot, Bobby; Sunnquist, Madison; Brown, Abigail; Reed, Jordan; Furst, Jacob; Newton, Julia L.; Strand, Elin Bolle; Vernon, Suzanne D.

2015-01-01

Background Since the publication of the CFS case definition [1], there have been a number of other criteria proposed including the Canadian Consensus Criteria [2] and the Myalgic Encephalomyelitis: International Consensus Criteria. [3] Purpose The current study compared these domains that were developed through consensus methods to one obtained through more empirical approaches using factor analysis. Methods Using data mining, we compared and contrasted fundamental features of consensus-based criteria versus empirical latent factors. In general, these approaches found the domain of Fatigue/Post-exertional malaise as best differentiating patients from controls. Results Findings indicated that the Fukuda et al. criteria had the worst sensitivity and specificity. Conclusions These outcomes might help both theorists and researchers better determine which fundamental domains to be used for the case definition. PMID:26977374

Measuring Coverage in MNCH: Evaluation of Community-Based Treatment of Childhood Illnesses through Household Surveys

PubMed Central

Hazel, Elizabeth; Requejo, Jennifer; David, Julia; Bryce, Jennifer

2013-01-01

Community case management (CCM) is a strategy for training and supporting workers at the community level to provide treatment for the three major childhood diseases—diarrhea, fever (indicative of malaria), and pneumonia—as a complement to facility-based care. Many low- and middle-income countries are now implementing CCM and need to evaluate whether adoption of the strategy is associated with increases in treatment coverage. In this review, we assess the extent to which large-scale, national household surveys can serve as sources of baseline data for evaluating trends in community-based treatment coverage for childhood illnesses. Our examination of the questionnaires used in Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) conducted between 2005 and 2010 in five sub-Saharan African countries shows that questions on care seeking that included a locally adapted option for a community-based provider were present in all the DHS surveys and in some MICS surveys. Most of the surveys also assessed whether appropriate treatments were available, but only one survey collected information on the place of treatment for all three illnesses. This absence of baseline data on treatment source in household surveys will limit efforts to evaluate the effects of the introduction of CCM strategies in the study countries. We recommend alternative analysis plans for assessing CCM programs using household survey data that depend on baseline data availability and on the timing of CCM policy implementation. PMID:23667329

Arduino based radiation survey meter

NASA Astrophysics Data System (ADS)

Rahman, Nur Aira Abd; Lombigit, Lojius; Abdullah, Nor Arymaswati; Azman, Azraf; Dolah, Taufik; Muzakkir, Amir; Jaafar, Zainudin; Mohamad, Glam Hadzir Patai; Ramli, Abd Aziz Mhd; Zain, Rasif Mohd; Said, Fazila; Khalid, Mohd Ashhar; Taat, Muhamad Zahidee

2016-01-01

This paper presents the design of new digital radiation survey meter with LND7121 Geiger Muller tube detector and Atmega328P microcontroller. Development of the survey meter prototype is carried out on Arduino Uno platform. 16-bit Timer1 on the microcontroller is utilized as external pulse counter to produce count per second or CPS measurement. Conversion from CPS to dose rate technique is also performed by Arduino to display results in micro Sievert per hour (μSvhr-1). Conversion factor (CF) value for conversion of CPM to μSvhr-1 determined from manufacturer data sheet is compared with CF obtained from calibration procedure. The survey meter measurement results are found to be linear for dose rates below 3500 µSv/hr.

Empire: An Analytical Category for Educational Research

ERIC Educational Resources Information Center

Coloma, Roland Sintos

2013-01-01

In this article Roland Sintos Coloma argues for the relevance of empire as an analytical category in educational research. He points out the silence in mainstream studies of education on the subject of empire, the various interpretive approaches to deploying empire as an analytic, and the importance of indigeneity in research on empire and…

Comparison of two interpolation methods for empirical mode decomposition based evaluation of radiographic femur bone images.

PubMed

Udhayakumar, Ganesan; Sujatha, Chinnaswamy Manoharan; Ramakrishnan, Swaminathan

2013-01-01

Analysis of bone strength in radiographic images is an important component of estimation of bone quality in diseases such as osteoporosis. Conventional radiographic femur bone images are used to analyze its architecture using bi-dimensional empirical mode decomposition method. Surface interpolation of local maxima and minima points of an image is a crucial part of bi-dimensional empirical mode decomposition method and the choice of appropriate interpolation depends on specific structure of the problem. In this work, two interpolation methods of bi-dimensional empirical mode decomposition are analyzed to characterize the trabecular femur bone architecture of radiographic images. The trabecular bone regions of normal and osteoporotic femur bone images (N = 40) recorded under standard condition are used for this study. The compressive and tensile strength regions of the images are delineated using pre-processing procedures. The delineated images are decomposed into their corresponding intrinsic mode functions using interpolation methods such as Radial basis function multiquadratic and hierarchical b-spline techniques. Results show that bi-dimensional empirical mode decomposition analyses using both interpolations are able to represent architectural variations of femur bone radiographic images. As the strength of the bone depends on architectural variation in addition to bone mass, this study seems to be clinically useful.

An Empirical Study of Enterprise Conceptual Modeling

NASA Astrophysics Data System (ADS)

Anaby-Tavor, Ateret; Amid, David; Fisher, Amit; Ossher, Harold; Bellamy, Rachel; Callery, Matthew; Desmond, Michael; Krasikov, Sophia; Roth, Tova; Simmonds, Ian; de Vries, Jacqueline

Business analysts, business architects, and solution consultants use a variety of practices and methods in their quest to understand business. The resulting work products could end up being transitioned into the formal world of software requirement definitions or as recommendations for all kinds of business activities. We describe an empirical study about the nature of these methods, diagrams, and home-grown conceptual models as reflected in real practice at IBM. We identify the models as artifacts of "enterprise conceptual modeling". We study important features of these models, suggest practical classifications, and discuss their usage. Our survey shows that the "enterprise conceptual modeling" arena presents a variety of descriptive models, each used by a relatively small group of colleagues. Together they form a "long tail" that extends from "drawings" on one end to "standards" on the other.

Empirical validation of a real options theory based method for optimizing evacuation decisions within chemical plants.

PubMed

Reniers, G L L; Audenaert, A; Pauwels, N; Soudan, K

2011-02-15

This article empirically assesses and validates a methodology to make evacuation decisions in case of major fire accidents in chemical clusters. In this paper, a number of empirical results are presented, processed and discussed with respect to the implications and management of evacuation decisions in chemical companies. It has been shown in this article that in realistic industrial settings, suboptimal interventions may result in case the prospect to obtain additional information at later stages of the decision process is ignored. Empirical results also show that implications of interventions, as well as the required time and workforce to complete particular shutdown activities, may be very different from one company to another. Therefore, to be optimal from an economic viewpoint, it is essential that precautionary evacuation decisions are tailor-made per company. Copyright © 2010 Elsevier B.V. All rights reserved.

The Use of Online Surveys to Measure Satisfaction in Job Training and Workforce Development

ERIC Educational Resources Information Center

Schmidt, Steve; Strachota, Elaine; Conceicao, Simone

2006-01-01

This paper examines two empirical studies that used online surveys to collect data to measure satisfaction in job training and workforce development. A description of each study, findings related to response rate, the processes used in online survey development and implementation, as well as recommendations for the future use of online surveys…

Fixed Base Modal Survey of the MPCV Orion European Service Module Structural Test Article

NASA Technical Reports Server (NTRS)

Winkel, James P.; Akers, J. C.; Suarez, Vicente J.; Staab, Lucas D.; Napolitano, Kevin L.

2017-01-01

Recently, the MPCV Orion European Service Module Structural Test Article (E-STA) underwent sine vibration testing using the multi-axis shaker system at NASA GRC Plum Brook Station Mechanical Vibration Facility (MVF). An innovative approach using measured constraint shapes at the interface of E-STA to the MVF allowed high-quality fixed base modal parameters of the E-STA to be extracted, which have been used to update the E-STA finite element model (FEM), without the need for a traditional fixed base modal survey. This innovative approach provided considerable program cost and test schedule savings. This paper documents this modal survey, which includes the modal pretest analysis sensor selection, the fixed base methodology using measured constraint shapes as virtual references and measured frequency response functions, and post-survey comparison between measured and analysis fixed base modal parameters.

Organizational Communication--An Analysis Based on Empirical Data.

ERIC Educational Resources Information Center

Brenner, Marshall H.; Sigband, Norman B.

This two-phase study examined communication style and practice in a major aerospace firm. First, sixty-five high-level company managers were interviewed to ascertain their views on communication problems and practices within the firm. Second, a questionnaire survey was distributed to 700 supervisors and non-supervisory personnel, soliciting…

Monitoring Puerto Rican avifauna using roadside surveys

Treesearch

Keith L. Pardieck; Bruce G. Peterjohn

2005-01-01

In 1997 we began investigating the use of roadside point counts to monitor the long-term status and trends of Puerto Rican bird populations. If such a methodology proves feasible it may provide the empirical data needed for the development of sound conservation plans for the island’s avifauna in much the same way that North American Breeding Bird Survey data...

Empirical Evidence or Intuition? An Activity Involving the Scientific Method

ERIC Educational Resources Information Center

Overway, Ken

2007-01-01

Students need to have basic understanding of scientific method during their introductory science classes and for this purpose an activity was devised which involved a game based on famous Monty Hall game problem. This particular activity allowed students to banish or confirm their intuition based on empirical evidence.

Systematic approach to developing empirical interatomic potentials for III-N semiconductors

NASA Astrophysics Data System (ADS)

Ito, Tomonori; Akiyama, Toru; Nakamura, Kohji

2016-05-01

A systematic approach to the derivation of empirical interatomic potentials is developed for III-N semiconductors with the aid of ab initio calculations. The parameter values of empirical potential based on bond order potential are determined by reproducing the cohesive energy differences among 3-fold coordinated hexagonal, 4-fold coordinated zinc blende, wurtzite, and 6-fold coordinated rocksalt structures in BN, AlN, GaN, and InN. The bond order p is successfully introduced as a function of the coordination number Z in the form of p = a exp(-bZn ) if Z ≤ 4 and p = (4/Z)α if Z ≥ 4 in empirical interatomic potential. Moreover, the energy difference between wurtzite and zinc blende structures can be successfully evaluated by considering interaction beyond the second-nearest neighbors as a function of ionicity. This approach is feasible for developing empirical interatomic potentials applicable to a system consisting of poorly coordinated atoms at surfaces and interfaces including nanostructures.

Lake Superior Zooplankton Biomass Predictions from LOPC Tow Surveys Compare Well with a Probability Based Net Survey

EPA Science Inventory

We conducted a probability-based sampling of Lake Superior in 2006 and compared the zooplankton biomass estimate with laser optical plankton counter (LOPC) predictions. The net survey consisted of 52 sites stratified across three depth zones (0-30, 30-150, >150 m). The LOPC tow...

Social isolation, survey nonresponse, and nonresponse bias: An empirical evaluation using social network data within an organization.

PubMed

Watanabe, Megumi; Olson, Kristen; Falci, Christina

2017-03-01

Survey researchers have long hypothesized that social isolation negatively affects the probability of survey participation and biases survey estimates. Previous research, however, has relied on proxy measures of isolation, such as being a marginalized group member within a population. We re-examine the relationship between social isolation and survey participation using direct measures of social isolation derived from social network data; specifically, instrumental research and expressive friendship connections among faculty within academic departments. Using a reconceptualization of social isolation, we find that social network isolation is negatively associated with unit response. Among women (a numerical minority group within the organization), we further find that social group isolation (i.e., lacking instrumental network connections to men, the majority group in the organization) is negatively associated with survey participation. Finally, we show that some survey estimates are systematically biased due to nonparticipation from socially isolated people. Copyright © 2016 Elsevier Inc. All rights reserved.

Econometric studies of urban population density: a survey.

PubMed

Mcdonald, J F

1989-01-01

This paper presents the 1st reasonably comprehensive survey of empirical research of urban population densities since the publication of the book by Edmonston in 1975. The survey summarizes contributions to empirical knowledge that have been made since 1975 and points toward possible areas for additional research. The paper also provides a brief interpretative intellectual history of the topic. It begins with a personal overview of research in the field. The next section discusses econometric issues that arise in the estimation of population density functions in which density is a function only of a distance to the central business district of the urban area. Section 4 summarizes the studies of a single urban area that went beyond the estimation of simple distance-density functions, and Section 5 discusses studies that sought to explain the variations across urban areas in population density patterns. McDonald refers to the standard theory of urban population density throughout the paper. This basic model is presented in the textbook by Mills and Hamilton and it is assumed that the reader is familiar with the model.

HIV testing in national population-based surveys: experience from the Demographic and Health Surveys.

PubMed Central

Mishra, Vinod; Vaessen, Martin; Boerma, J. Ties; Arnold, Fred; Way, Ann; Barrere, Bernard; Cross, Anne; Hong, Rathavuth; Sangha, Jasbir

2006-01-01

OBJECTIVES: To describe the methods used in the Demographic and Health Surveys (DHS) to collect nationally representative data on the prevalence of human immunodeficiency virus (HIV) and assess the value of such data to country HIV surveillance systems. METHODS: During 2001-04, national samples of adult women and men in Burkina Faso, Cameroon, Dominican Republic, Ghana, Mali, Kenya, United Republic of Tanzania and Zambia were tested for HIV. Dried blood spot samples were collected for HIV testing, following internationally accepted ethical standards. The results for each country are presented by age, sex, and urban versus rural residence. To estimate the effects of non-response, HIV prevalence among non-responding males and females was predicted using multivariate statistical models for those who were tested, with a common set of predictor variables. RESULTS: Rates of HIV testing varied from 70% among Kenyan men to 92% among women in Burkina Faso and Cameroon. Despite large differences in HIV prevalence between the surveys (1-16%), fairly consistent patterns of HIV infection were observed by age, sex and urban versus rural residence, with considerably higher rates in urban areas and in women, especially at younger ages. Analysis of non-response bias indicates that although predicted HIV prevalence tended to be higher in non-tested males and females than in those tested, the overall effects of non-response on the observed national estimates of HIV prevalence are insignificant. CONCLUSIONS: Population-based surveys can provide reliable, direct estimates of national and regional HIV seroprevalence among men and women irrespective of pregnancy status. Survey data greatly enhance surveillance systems and the accuracy of national estimates in generalized epidemics. PMID:16878227

Empirical effective temperatures and bolometric corrections for early-type stars

NASA Technical Reports Server (NTRS)

Code, A. D.; Bless, R. C.; Davis, J.; Brown, R. H.

1976-01-01

An empirical effective temperature for a star can be found by measuring its apparent angular diameter and absolute flux distribution. The angular diameters of 32 bright stars in the spectral range O5f to F8 have recently been measured with the stellar interferometer at Narrabri Observatory, and their absolute flux distributions have been found by combining observations of ultraviolet flux from the Orbiting Astronomical Observatory (OAO-2) with ground-based photometry. In this paper, these data have been combined to derive empirical effective temperatures and bolometric corrections for these 32 stars.

Lessons Learned: Cultural and linguistic enhancement of surveys through community-based participatory research

PubMed Central

Formea, Christine M.; Mohamed, Ahmed A.; Hassan, Abdullahi; Osman, Ahmed; Weis, Jennifer A.; Sia, Irene G.; Wieland, Mark L.

2014-01-01

Background Surveys are frequently implemented in community-based participatory research (CBPR), but adaptation and translation of surveys can be logistically and methodologically challenging when working with immigrant and refugee populations. Objective To describe a process of participatory survey adaptation and translation. Methods Within an established CBPR partnership, a survey about diabetes was adapted for health literacy and local relevance and then translated through a process of forward translation, group deliberation, and back translation. Lessons Learned The group deliberation process was the most time-intensive and important component of the process. The process enhanced community ownership of the larger project while maximizing local applicability of the product. Conclusions A participatory process of survey adaptation and translation resulted in significant revisions to approximate semantic, cultural, and conceptual equivalence with the original surveys. This approach is likely to enhance community acceptance of the survey instrument during the implementation phase. PMID:25435559

Lessons From Recruitment to an Internet-Based Survey for Degenerative Cervical Myelopathy: Comparison of Free and Fee-Based Methods.

PubMed

Davies, Benjamin; Kotter, Mark

2018-02-05

Degenerative Cervical Myelopathy (DCM) is a syndrome of subacute cervical spinal cord compression due to spinal degeneration. Although DCM is thought to be common, many fundamental questions such as the natural history and epidemiology of DCM remain unknown. In order to answer these, access to a large cohort of patients with DCM is required. With its unrivalled and efficient reach, the Internet has become an attractive tool for medical research and may overcome these limitations in DCM. The most effective recruitment strategy, however, is unknown. To compare the efficacy of fee-based advertisement with alternative free recruitment strategies to a DCM Internet health survey. An Internet health survey (SurveyMonkey) accessed by a new DCM Internet platform (myelopathy.org) was created. Using multiple survey collectors and the website's Google Analytics, the efficacy of fee-based recruitment strategies (Google AdWords) and free alternatives (including Facebook, Twitter, and myelopathy.org) were compared. Overall, 760 surveys (513 [68%] fully completed) were accessed, 305 (40%) from fee-based strategies and 455 (60%) from free alternatives. Accounting for researcher time, fee-based strategies were more expensive ($7.8 per response compared to $3.8 per response for free alternatives) and identified a less motivated audience (Click-Through-Rate of 5% compared to 57% using free alternatives) but were more time efficient for the researcher (2 minutes per response compared to 16 minutes per response for free methods). Facebook was the most effective free strategy, providing 239 (31%) responses, where a single message to 4 existing communities yielded 133 (18%) responses within 7 days. The Internet can efficiently reach large numbers of patients. Free and fee-based recruitment strategies both have merits. Facebook communities are a rich resource for Internet researchers. ©Benjamin Davies, Mark Kotter. Originally published in JMIR Research Protocols (http

Lessons From Recruitment to an Internet-Based Survey for Degenerative Cervical Myelopathy: Comparison of Free and Fee-Based Methods

PubMed Central

2018-01-01

Background Degenerative Cervical Myelopathy (DCM) is a syndrome of subacute cervical spinal cord compression due to spinal degeneration. Although DCM is thought to be common, many fundamental questions such as the natural history and epidemiology of DCM remain unknown. In order to answer these, access to a large cohort of patients with DCM is required. With its unrivalled and efficient reach, the Internet has become an attractive tool for medical research and may overcome these limitations in DCM. The most effective recruitment strategy, however, is unknown. Objective To compare the efficacy of fee-based advertisement with alternative free recruitment strategies to a DCM Internet health survey. Methods An Internet health survey (SurveyMonkey) accessed by a new DCM Internet platform (myelopathy.org) was created. Using multiple survey collectors and the website’s Google Analytics, the efficacy of fee-based recruitment strategies (Google AdWords) and free alternatives (including Facebook, Twitter, and myelopathy.org) were compared. Results Overall, 760 surveys (513 [68%] fully completed) were accessed, 305 (40%) from fee-based strategies and 455 (60%) from free alternatives. Accounting for researcher time, fee-based strategies were more expensive ($7.8 per response compared to $3.8 per response for free alternatives) and identified a less motivated audience (Click-Through-Rate of 5% compared to 57% using free alternatives) but were more time efficient for the researcher (2 minutes per response compared to 16 minutes per response for free methods). Facebook was the most effective free strategy, providing 239 (31%) responses, where a single message to 4 existing communities yielded 133 (18%) responses within 7 days. Conclusions The Internet can efficiently reach large numbers of patients. Free and fee-based recruitment strategies both have merits. Facebook communities are a rich resource for Internet researchers. PMID:29402760

Regional analysis of population trajectories from the North American Breeding Bird Survey

USGS Publications Warehouse

Sauer, J.R.; Link, W.A.; Helbig, Andreas J.; Flade, Martin

1999-01-01

The North American Breeding Bird Survey (BBS) was started in 1966, and provides information on population change and distribution for most of the birds in North America. The geographic extent of the survey, and the logistical compromises needed to survey such a large area, present many challenges for estimation from BBS data. In this paper, we describe the survey and discuss some of the limitations of the survey design and implementation. Analysis of the survey has evolved over time as new statistical methods and insights into the analysis of count data are developed. Survey results and analysis tools for the BBS are now available over intemet; we present new methods that use generalized linear models for estimation of population change and empirical Bayes procedures for regional summaries.

A Survey on Anomaly Based Host Intrusion Detection System

NASA Astrophysics Data System (ADS)

Jose, Shijoe; Malathi, D.; Reddy, Bharath; Jayaseeli, Dorathi

2018-04-01

An intrusion detection system (IDS) is hardware, software or a combination of two, for monitoring network or system activities to detect malicious signs. In computer security, designing a robust intrusion detection system is one of the most fundamental and important problems. The primary function of system is detecting intrusion and gives alerts when user tries to intrusion on timely manner. In these techniques when IDS find out intrusion it will send alert massage to the system administrator. Anomaly detection is an important problem that has been researched within diverse research areas and application domains. This survey tries to provide a structured and comprehensive overview of the research on anomaly detection. From the existing anomaly detection techniques, each technique has relative strengths and weaknesses. The current state of the experiment practice in the field of anomaly-based intrusion detection is reviewed and survey recent studies in this. This survey provides a study of existing anomaly detection techniques, and how the techniques used in one area can be applied in another application domain.

Exploring Career Options and Possibilities Later in Life: Adult (Age 50-75) Career Development Survey

ERIC Educational Resources Information Center

Smith, Angela Carmella

2009-01-01

A survey instrument was developed entitled the "Adult (age 50-75) Career Development Survey" (ACDS) to provide an empirical foundation for understanding the current needs of individuals age 50-75 and learning about their attitudes toward, willingness to, and experience in using career counseling and technology in making decisions on…

A global empirical system for probabilistic seasonal climate prediction

NASA Astrophysics Data System (ADS)

Eden, J. M.; van Oldenborgh, G. J.; Hawkins, E.; Suckling, E. B.

2015-12-01

Preparing for episodes with risks of anomalous weather a month to a year ahead is an important challenge for governments, non-governmental organisations, and private companies and is dependent on the availability of reliable forecasts. The majority of operational seasonal forecasts are made using process-based dynamical models, which are complex, computationally challenging and prone to biases. Empirical forecast approaches built on statistical models to represent physical processes offer an alternative to dynamical systems and can provide either a benchmark for comparison or independent supplementary forecasts. Here, we present a simple empirical system based on multiple linear regression for producing probabilistic forecasts of seasonal surface air temperature and precipitation across the globe. The global CO2-equivalent concentration is taken as the primary predictor; subsequent predictors, including large-scale modes of variability in the climate system and local-scale information, are selected on the basis of their physical relationship with the predictand. The focus given to the climate change signal as a source of skill and the probabilistic nature of the forecasts produced constitute a novel approach to global empirical prediction. Hindcasts for the period 1961-2013 are validated against observations using deterministic (correlation of seasonal means) and probabilistic (continuous rank probability skill scores) metrics. Good skill is found in many regions, particularly for surface air temperature and most notably in much of Europe during the spring and summer seasons. For precipitation, skill is generally limited to regions with known El Niño-Southern Oscillation (ENSO) teleconnections. The system is used in a quasi-operational framework to generate empirical seasonal forecasts on a monthly basis.

Profile of Pre-Service Science Teachers Based on STEM Career Interest Survey

NASA Astrophysics Data System (ADS)

Winarno, N.; Widodo, A.; Rusdiana, D.; Rochintaniawati, D.; Afifah, R. M. A.

2017-09-01

This study aims to investigate the profile of pre-service science teachers based on STEM (Science, Technology, Engineering, and Mathematics) Career Interest Survey. The study uses descriptive survey method as the research design. Samples collected from 66 preservice science teachers in a university located in Bandung, Indonesia. The results of the study are the profile of pre-service science teachers based on STEM Career Interest Survey shows that the average number of career interest in the field of technology is 4.08, in science 3.80, mathematics 3.39 and engineering 3.30. Pre-service science teachers are found to have interests in the STEM career fields. This research is necessary as there are many instances of people choosing majors or studies that are not in accordance with their interests and talents. The recommendation of this study is to develop learning in pre-service science teachers by using STEM approach.

Hospital Board Oversight of Quality and Patient Safety: A Narrative Review and Synthesis of Recent Empirical Research

PubMed Central

Millar, Ross; Mannion, Russell; Freeman, Tim; Davies, Huw TO

2013-01-01

Context Recurring problems with patient safety have led to a growing interest in helping hospitals’ governing bodies provide more effective oversight of the quality and safety of their services. National directives and initiatives emphasize the importance of action by boards, but the empirical basis for informing effective hospital board oversight has yet to receive full and careful review. Methods This article presents a narrative review of empirical research to inform the debate about hospital boards’ oversight of quality and patient safety. A systematic and comprehensive search identified 122 papers for detailed review. Much of the empirical work appeared in the last ten years, is from the United States, and employs cross-sectional survey methods. Findings Recent empirical studies linking board composition and processes with patient outcomes have found clear differences between high- and low-performing hospitals, highlighting the importance of strong and committed leadership that prioritizes quality and safety and sets clear and measurable goals for improvement. Effective oversight is also associated with well-informed and skilled board members. External factors (such as regulatory regimes and the publication of performance data) might also have a role in influencing boards, but detailed empirical work on these is scant. Conclusions Health policy debates recognize the important role of hospital boards in overseeing patient quality and safety, and a growing body of empirical research has sought to elucidate that role. This review finds a number of areas of guidance that have some empirical support, but it also exposes the relatively inchoate nature of the field. Greater theoretical and methodological development is required if we are to secure more evidence-informed governance systems and practices that can contribute to safer care. PMID:24320168

Clinical decision support alert malfunctions: analysis and empirically derived taxonomy.

PubMed

Wright, Adam; Ai, Angela; Ash, Joan; Wiesen, Jane F; Hickman, Thu-Trang T; Aaron, Skye; McEvoy, Dustin; Borkowsky, Shane; Dissanayake, Pavithra I; Embi, Peter; Galanter, William; Harper, Jeremy; Kassakian, Steve Z; Ramoni, Rachel; Schreiber, Richard; Sirajuddin, Anwar; Bates, David W; Sittig, Dean F

2018-05-01

To develop an empirically derived taxonomy of clinical decision support (CDS) alert malfunctions. We identified CDS alert malfunctions using a mix of qualitative and quantitative methods: (1) site visits with interviews of chief medical informatics officers, CDS developers, clinical leaders, and CDS end users; (2) surveys of chief medical informatics officers; (3) analysis of CDS firing rates; and (4) analysis of CDS overrides. We used a multi-round, manual, iterative card sort to develop a multi-axial, empirically derived taxonomy of CDS malfunctions. We analyzed 68 CDS alert malfunction cases from 14 sites across the United States with diverse electronic health record systems. Four primary axes emerged: the cause of the malfunction, its mode of discovery, when it began, and how it affected rule firing. Build errors, conceptualization errors, and the introduction of new concepts or terms were the most frequent causes. User reports were the predominant mode of discovery. Many malfunctions within our database caused rules to fire for patients for whom they should not have (false positives), but the reverse (false negatives) was also common. Across organizations and electronic health record systems, similar malfunction patterns recurred. Challenges included updates to code sets and values, software issues at the time of system upgrades, difficulties with migration of CDS content between computing environments, and the challenge of correctly conceptualizing and building CDS. CDS alert malfunctions are frequent. The empirically derived taxonomy formalizes the common recurring issues that cause these malfunctions, helping CDS developers anticipate and prevent CDS malfunctions before they occur or detect and resolve them expediently.

An HIV Epidemic Model Based on Viral Load Dynamics: Value in Assessing Empirical Trends in HIV Virulence and Community Viral Load

PubMed Central

Herbeck, Joshua T.; Mittler, John E.; Gottlieb, Geoffrey S.; Mullins, James I.

2014-01-01

Trends in HIV virulence have been monitored since the start of the AIDS pandemic, as studying HIV virulence informs our understanding of HIV epidemiology and pathogenesis. Here, we model changes in HIV virulence as a strictly evolutionary process, using set point viral load (SPVL) as a proxy, to make inferences about empirical SPVL trends from longitudinal HIV cohorts. We develop an agent-based epidemic model based on HIV viral load dynamics. The model contains functions for viral load and transmission, SPVL and disease progression, viral load trajectories in multiple stages of infection, and the heritability of SPVL across transmissions. We find that HIV virulence evolves to an intermediate level that balances infectiousness with longer infected lifespans, resulting in an optimal SPVL∼4.75 log10 viral RNA copies/mL. Adaptive viral evolution may explain observed HIV virulence trends: our model produces SPVL trends with magnitudes that are broadly similar to empirical trends. With regard to variation among studies in empirical SPVL trends, results from our model suggest that variation may be explained by the specific epidemic context, e.g. the mean SPVL of the founding lineage or the age of the epidemic; or improvements in HIV screening and diagnosis that results in sampling biases. We also use our model to examine trends in community viral load, a population-level measure of HIV viral load that is thought to reflect a population's overall transmission potential. We find that community viral load evolves in association with SPVL, in the absence of prevention programs such as antiretroviral therapy, and that the mean community viral load is not necessarily a strong predictor of HIV incidence. PMID:24945322

Connectedness to nature and public (skin) health perspectives: results of a representative, population-based survey among Austrian residents.

PubMed

Haluza, Daniela; Simic, Stana; Höltge, Jan; Cervinka, Renate; Moshammer, Hanns

2014-01-20

Connectedness to nature (CN) influences motivation to have contact with outdoor natural environments. Spending leisure time in natural environments is beneficial for human health and well-being. Besides these positive effects, health risks of open-air activities are mainly related to unprotected sun light exposure-associated acute and chronic skin hazards. Thus, we conducted a cross-sectional, representative telephone survey among Austrian residents to study the association of perceived CN level with sun-exposure knowledge, tanning habits, and sun protective behaviour. In total, 1,500 study subjects (50.5% females) participated in this questionnaire survey. Although knowledge about tanning and motives to tan were similar among genders, females performed more photoprotective measures and were more connected to nature (all p < 0.001) compared to males. Older age and outdoor sport were significant gender-independent predictor variables influencing perceived CN level. Additionally, level of education was relevant in male CN, whereas non-smoking and higher knowledge were predictive of female CN. This survey provides so far unreported empirical data on the relationship between nature connectedness and skin health-relevant recreational habits of Austrian residents. The findings suggest to integrate hitherto neglected gender-specific Public (Skin) Health promotion when counselling on the manifold health advantages of outdoor activities.

Connectedness to Nature and Public (Skin) Health Perspectives: Results of a Representative, Population-Based Survey among Austrian Residents

PubMed Central

Haluza, Daniela; Simic, Stana; Höltge, Jan; Cervinka, Renate; Moshammer, Hanns

2014-01-01

Connectedness to nature (CN) influences motivation to have contact with outdoor natural environments. Spending leisure time in natural environments is beneficial for human health and well-being. Besides these positive effects, health risks of open-air activities are mainly related to unprotected sun light exposure-associated acute and chronic skin hazards. Thus, we conducted a cross-sectional, representative telephone survey among Austrian residents to study the association of perceived CN level with sun-exposure knowledge, tanning habits, and sun protective behaviour. In total, 1,500 study subjects (50.5% females) participated in this questionnaire survey. Although knowledge about tanning and motives to tan were similar among genders, females performed more photoprotective measures and were more connected to nature (all p < 0.001) compared to males. Older age and outdoor sport were significant gender-independent predictor variables influencing perceived CN level. Additionally, level of education was relevant in male CN, whereas non-smoking and higher knowledge were predictive of female CN. This survey provides so far unreported empirical data on the relationship between nature connectedness and skin health-relevant recreational habits of Austrian residents. The findings suggest to integrate hitherto neglected gender-specific Public (Skin) Health promotion when counselling on the manifold health advantages of outdoor activities. PMID:24448634

Chronic Fatigue Syndrome and Myalgic Encephalomyelitis: Toward An Empirical Case Definition

PubMed Central

Jason, Leonard A.; Kot, Bobby; Sunnquist, Madison; Brown, Abigail; Evans, Meredyth; Jantke, Rachel; Williams, Yolonda; Furst, Jacob; Vernon, Suzanne D.

2015-01-01

Current case definitions of Myalgic Encephalomyelitis (ME) and chronic fatigue syndrome (CFS) have been based on consensus methods, but empirical methods could be used to identify core symptoms and thereby improve the reliability. In the present study, several methods (i.e., continuous scores of symptoms, theoretically and empirically derived cut off scores of symptoms) were used to identify core symptoms best differentiating patients from controls. In addition, data mining with decision trees was conducted. Our study found a small number of core symptoms that have good sensitivity and specificity, and these included fatigue, post-exertional malaise, a neurocognitive symptom, and unrefreshing sleep. Outcomes from these analyses suggest that using empirically selected symptoms can help guide the creation of a more reliable case definition. PMID:26029488

Seismic facies analysis based on self-organizing map and empirical mode decomposition

NASA Astrophysics Data System (ADS)

Du, Hao-kun; Cao, Jun-xing; Xue, Ya-juan; Wang, Xing-jian

2015-01-01

Seismic facies analysis plays an important role in seismic interpretation and reservoir model building by offering an effective way to identify the changes in geofacies inter wells. The selections of input seismic attributes and their time window have an obvious effect on the validity of classification and require iterative experimentation and prior knowledge. In general, it is sensitive to noise when waveform serves as the input data to cluster analysis, especially with a narrow window. To conquer this limitation, the Empirical Mode Decomposition (EMD) method is introduced into waveform classification based on SOM. We first de-noise the seismic data using EMD and then cluster the data using 1D grid SOM. The main advantages of this method are resolution enhancement and noise reduction. 3D seismic data from the western Sichuan basin, China, are collected for validation. The application results show that seismic facies analysis can be improved and better help the interpretation. The powerful tolerance for noise makes the proposed method to be a better seismic facies analysis tool than classical 1D grid SOM method, especially for waveform cluster with a narrow window.

Mission Operations Planning with Preferences: An Empirical Study

NASA Technical Reports Server (NTRS)

Bresina, John L.; Khatib, Lina; McGann, Conor

2006-01-01

This paper presents an empirical study of some nonexhaustive approaches to optimizing preferences within the context of constraint-based, mixed-initiative planning for mission operations. This work is motivated by the experience of deploying and operating the MAPGEN (Mixed-initiative Activity Plan GENerator) system for the Mars Exploration Rover Mission. Responsiveness to the user is one of the important requirements for MAPGEN, hence, the additional computation time needed to optimize preferences must be kept within reasonabble bounds. This was the primary motivation for studying non-exhaustive optimization approaches. The specific goals of rhe empirical study are to assess the impact on solution quality of two greedy heuristics used in MAPGEN and to assess the improvement gained by applying a linear programming optimization technique to the final solution.

Estimating economic losses from earthquakes using an empirical approach

USGS Publications Warehouse

Jaiswal, Kishor; Wald, David J.

2013-01-01

We extended the U.S. Geological Survey's Prompt Assessment of Global Earthquakes for Response (PAGER) empirical fatality estimation methodology proposed by Jaiswal et al. (2009) to rapidly estimate economic losses after significant earthquakes worldwide. The requisite model inputs are shaking intensity estimates made by the ShakeMap system, the spatial distribution of population available from the LandScan database, modern and historic country or sub-country population and Gross Domestic Product (GDP) data, and economic loss data from Munich Re's historical earthquakes catalog. We developed a strategy to approximately scale GDP-based economic exposure for historical and recent earthquakes in order to estimate economic losses. The process consists of using a country-specific multiplicative factor to accommodate the disparity between economic exposure and the annual per capita GDP, and it has proven successful in hindcast-ing past losses. Although loss, population, shaking estimates, and economic data used in the calibration process are uncertain, approximate ranges of losses can be estimated for the primary purpose of gauging the overall scope of the disaster and coordinating response. The proposed methodology is both indirect and approximate and is thus best suited as a rapid loss estimation model for applications like the PAGER system.

Building an evidence-base for the training of evidence-based treatments in community settings: Use of an expert-informed approach.

PubMed

Scudder, Ashley; Herschell, Amy D

2015-08-01

In order to make EBTs available to a large number of children and families, developers and expert therapists have used their experience and expertise to train community-based therapists in EBTs. Understanding current training practices of treatment experts may be one method for establishing best practices for training community-based therapists prior to comprehensive empirical examinations of training practices. A qualitative study was conducted using surveys and phone interviews to identify the specific procedures used by treatment experts to train and implement an evidence-based treatment in community settings. Twenty-three doctoral-level, clinical psychologists were identified to participate because of their expertise in conducting and training Parent-Child Interaction Therapy. Semi-structured qualitative interviews were completed by phone, later transcribed verbatim, and analyzed using thematic coding. The de-identified data were coded by two independent qualitative data researchers and then compared for consistency of interpretation. The themes that emerged following the final coding were used to construct a training protocol to be empirically tested. The goal of this paper is to not only understand the current state of training practices for training therapists in a particular EBT, Parent-Child Interaction Therapy, but to illustrate the use of expert opinion as the best available evidence in preparation for empirical evaluation.

50 CFR 600.1417 - Requirements for exempted state designation based on submission of recreational survey data.

Code of Federal Regulations, 2014 CFR

2014-10-01

... the state's participation in a qualifying regional survey, and the survey's sample design, data...) Meet NMFS survey design and data collection standards. [73 FR 79717, Dec. 30, 2008, as amended at 77 FR... designation based on submission of recreational survey data. 600.1417 Section 600.1417 Wildlife and Fisheries...

50 CFR 600.1417 - Requirements for exempted state designation based on submission of recreational survey data.

Code of Federal Regulations, 2013 CFR

2013-10-01

... the state's participation in a qualifying regional survey, and the survey's sample design, data...) Meet NMFS survey design and data collection standards. [73 FR 79717, Dec. 30, 2008, as amended at 77 FR... designation based on submission of recreational survey data. 600.1417 Section 600.1417 Wildlife and Fisheries...

50 CFR 600.1417 - Requirements for exempted state designation based on submission of recreational survey data.

Code of Federal Regulations, 2012 CFR

2012-10-01

... the state's participation in a qualifying regional survey, and the survey's sample design, data...) Meet NMFS survey design and data collection standards. [73 FR 79717, Dec. 30, 2008, as amended at 77 FR... designation based on submission of recreational survey data. 600.1417 Section 600.1417 Wildlife and Fisheries...

Multiscale Characterization of PM2.5 in Southern Taiwan based on Noise-assisted Multivariate Empirical Mode Decomposition and Time-dependent Intrinsic Correlation

NASA Astrophysics Data System (ADS)

Hsiao, Y. R.; Tsai, C.

2017-12-01

As the WHO Air Quality Guideline indicates, ambient air pollution exposes world populations under threat of fatal symptoms (e.g. heart disease, lung cancer, asthma etc.), raising concerns of air pollution sources and relative factors. This study presents a novel approach to investigating the multiscale variations of PM2.5 in southern Taiwan over the past decade, with four meteorological influencing factors (Temperature, relative humidity, precipitation and wind speed),based on Noise-assisted Multivariate Empirical Mode Decomposition(NAMEMD) algorithm, Hilbert Spectral Analysis(HSA) and Time-dependent Intrinsic Correlation(TDIC) method. NAMEMD algorithm is a fully data-driven approach designed for nonlinear and nonstationary multivariate signals, and is performed to decompose multivariate signals into a collection of channels of Intrinsic Mode Functions (IMFs). TDIC method is an EMD-based method using a set of sliding window sizes to quantify localized correlation coefficients for multiscale signals. With the alignment property and quasi-dyadic filter bank of NAMEMD algorithm, one is able to produce same number of IMFs for all variables and estimates the cross correlation in a more accurate way. The performance of spectral representation of NAMEMD-HSA method is compared with Complementary Empirical Mode Decomposition/ Hilbert Spectral Analysis (CEEMD-HSA) and Wavelet Analysis. The nature of NAMAMD-based TDICC analysis is then compared with CEEMD-based TDIC analysis and the traditional correlation analysis.

Empirical performance of interpolation techniques in risk-neutral density (RND) estimation

NASA Astrophysics Data System (ADS)

Bahaludin, H.; Abdullah, M. H.

2017-03-01

The objective of this study is to evaluate the empirical performance of interpolation techniques in risk-neutral density (RND) estimation. Firstly, the empirical performance is evaluated by using statistical analysis based on the implied mean and the implied variance of RND. Secondly, the interpolation performance is measured based on pricing error. We propose using the leave-one-out cross-validation (LOOCV) pricing error for interpolation selection purposes. The statistical analyses indicate that there are statistical differences between the interpolation techniques:second-order polynomial, fourth-order polynomial and smoothing spline. The results of LOOCV pricing error shows that interpolation by using fourth-order polynomial provides the best fitting to option prices in which it has the lowest value error.

Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort.

PubMed

Hernández, Noelia; Ocaña, Manuel; Alonso, Jose M; Kim, Euntai

2017-01-13

Although much research has taken place in WiFi indoor localization systems, their accuracy can still be improved. When designing this kind of system, fingerprint-based methods are a common choice. The problem with fingerprint-based methods comes with the need of site surveying the environment, which is effort consuming. In this work, we propose an approach, based on support vector regression, to estimate the received signal strength at non-site-surveyed positions of the environment. Experiments, performed in a real environment, show that the proposed method could be used to improve the resolution of fingerprint-based indoor WiFi localization systems without increasing the site survey effort.

The use of occupation-based assessments and intervention in the hand therapy setting - A survey.

PubMed

Grice, Kimatha Oxford

2015-01-01

Descriptive survey. This study specifically explored the use of occupation-based assessments and intervention in the hand therapy setting, but also more generally, current practice trends about all assessments being utilized in this setting, frequency of their use, and therapists' perceptions about them. An online survey was distributed via email to members of the American Society of Hand Therapists (ASHT). The survey consisted of ten questions and was administered via Survey Monkey. Responses were received from 22% of those surveyed. A descriptive analysis was completed of the results and indicated that over half use occupation-based assessments on a daily basis; most are related to ADL function and used for the development of goals. The primary reason for not utilizing occupation-based assessments is time limitation. Seventy-nine percent believe these measures are important for the services provided in the hand therapy setting. Occupation-based assessments and intervention are not utilized as much as therapists would like in the hand therapy setting, primarily due to time constraints. While not formally assessed, the majority of those who responded indicated that they do address occupation in their assessments and interventions. Not applicable. Copyright © 2015 Hanley & Belfus. Published by Elsevier Inc. All rights reserved.

Practice management: observations, issues, and empirical evidence.

PubMed

Wong, H M; Braithwaite, J

2001-02-01

The primary objective of this study is to provide objective, empirical, evidence-based practice management information. This is a hitherto under-researched area of considerable interest for both the practitioner and educator. A questionnaire eliciting a mix of structured and free text responses was administered to a random sample of 480 practitioners who are members of the American Academy of Periodontology. Potential respondents not in private practice were excluded and the next listed person substituted. The results provide demographic and descriptive information about some of the main issues and problems facing practice managers, central to which are information technology (IT), financial, people management, and marketing. Human resource and marketing management appear to represent the biggest challenges. Periodontists running practices would prefer more information, development, and support in dealing with IT, finance, marketing, and people management. The empirical evidence reported here suggests that although tailored educational programs on key management issues at both undergraduate and postgraduate levels have become ubiquitous, nevertheless some respondents seek further training opportunities. Evidence-based practice management information will be invaluable to the clinician considering strategic and marketing planning, and also for those responsible for the design and conduct of predoctoral and postdoctoral programs.

Alcohol consumption trends in Australia: Comparing surveys and sales-based measures.

PubMed

Livingston, Michael; Callinan, Sarah; Raninen, Jonas; Pennay, Amy; Dietze, Paul M

2018-04-01

Survey data remain a crucial means for monitoring alcohol consumption, but there has been limited work done to ensure that surveys adequately capture changes in per-capita consumption in Australia. In this study, we explore how trends in consumption from two major Australian surveys compare with an official measure of per-capita consumption between 2001 and 2014 and examine age-specific trends in drinking. Data were from five waves of the cross-sectional National Health Survey (total n = 113 279) and 12 waves of the longitudinal Household Income and Labour Dynamics in Australia Study (average n = 12 347). Overall and age-specific estimates of annual alcohol consumption were derived and compared with official per-capita consumption and previous analyses of the National Drug Strategy Household Survey. In terms of overall consumption, both surveys broadly reflected trends in per-capita consumption, especially the decline that has been observed since 2007/2008. Age-specific trends were broadly similar, with the recent decline in consumption clearly concentrated among teenagers and young adults. The main Australian monitoring surveys remain useful monitoring tools for alcohol consumption in Australia. There is consistent evidence that the recent declines in Australian per-capita consumption have been driven by sharp falls in drinking among young people, a trend that requires further study. [Livingston M, Callinan S, Raninen J, Pennay A, Dietze PM. Alcohol consumption trends in Australia: Comparing surveys and sales-based measures. Drug Alcohol Rev 2017;00:000-000]. © 2017 Australasian Professional Society on Alcohol and other Drugs.

Relationship Status among Parents of Children with Autism Spectrum Disorders: A Population-Based Study

ERIC Educational Resources Information Center

Freedman, Brian H.; Kalb, Luther G.; Zablotsky, Benjamin; Stuart, Elizabeth A.

2012-01-01

Despite speculation about an 80% divorce rate among parents of children with an Autism Spectrum Disorder (ASD), very little empirical and no epidemiological research has addressed the issue of separation and divorce among this population. Data for this study was taken from the 2007 National Survey of Children's Health, a population-based,…

A New Filtering and Smoothing Algorithm for Railway Track Surveying Based on Landmark and IMU/Odometer

PubMed Central

Jiang, Qingan; Wu, Wenqi; Jiang, Mingming; Li, Yun

2017-01-01

High-accuracy railway track surveying is essential for railway construction and maintenance. The traditional approaches based on total station equipment are not efficient enough since high precision surveying frequently needs static measurements. This paper proposes a new filtering and smoothing algorithm based on the IMU/odometer and landmarks integration for the railway track surveying. In order to overcome the difficulty of estimating too many error parameters with too few landmark observations, a new model with completely observable error states is established by combining error terms of the system. Based on covariance analysis, the analytical relationship between the railway track surveying accuracy requirements and equivalent gyro drifts including bias instability and random walk noise are established. Experiment results show that the accuracy of the new filtering and smoothing algorithm for railway track surveying can reach 1 mm (1σ) when using a Ring Laser Gyroscope (RLG)-based Inertial Measurement Unit (IMU) with gyro bias instability of 0.03°/h and random walk noise of 0.005°/h while control points of the track control network (CPIII) position observations are provided by the optical total station in about every 60 m interval. The proposed approach can satisfy at the same time the demands of high accuracy and work efficiency for railway track surveying. PMID:28629191

Predicting Student Performance in Web-Based Distance Education Courses Based on Survey Instruments Measuring Personality Traits and Technical Skills

ERIC Educational Resources Information Center

Hall, Michael

2008-01-01

Two common web-based surveys, "Is Online Learning Right for Me?' and "What Technical Skills Do I Need?", were combined into a single survey instrument and given to 228 on-campus and 83 distance education students. The students were enrolled in four different classes (business, computer information services, criminal justice, and…

The Influence of Performance-Based Management on Teaching and Research Performance of Finnish Senior Academics

ERIC Educational Resources Information Center

Kivistö, Jussi; Pekkola, Elias; Lyytinen, Anu

2017-01-01

Despite the widespread use of performance-based management in higher education, empirical research on its actual impact has remained scarce, particularly in Europe. With agency theory as a framework, our study utilised survey data collected from Finnish universities in order to explore the influence of performance management on perceived teaching…

Twitter Strategies for Web-Based Surveying: Descriptive Analysis From the International Concussion Study.

PubMed

Hendricks, Sharief; Düking, Peter; Mellalieu, Stephen D

2016-09-01

Social media provides researchers with an efficient means to reach and engage with a large and diverse audience. Twitter allows for the virtual social interaction among a network of users that enables researchers to recruit and administer surveys using snowball sampling. Although using Twitter to administer surveys for research is not new, strategies to improve response rates are yet to be reported. To compare the potential and actual reach of 2 Twitter accounts that administered a Web-based concussion survey to rugby players and trainers using 2 distinct Twitter-targeting strategies. Furthermore, the study sought to determine the likelihood of receiving a retweet based on the time of the day and day of the week of posting. A survey based on previous concussion research was exported to a Web-based survey website Survey Monkey. The survey comprised 2 questionnaires, one for players, and one for those involved in the game (eg, coaches and athletic trainers). The Web-based survey was administered using 2 existing Twitter accounts, with each account executing a distinct targeting strategy. A list of potential Twitter accounts to target was drawn up, together with a list of predesigned tweets. The list of accounts to target was divided into 'High-Profile' and 'Low-Profile', based on each accounts' position to attract publicity with a high social interaction potential. The potential reach (number of followers of the targeted account), and actual reach (number of retweets received by each post) between the 2 strategies were compared. The number of retweets received by each account was further analyzed to understand when the most likely time of day, and day of the week, a retweet would be received. The number of retweets received by a Twitter account decreased by 72% when using the 'high-profile strategy' compared with the 'low-profile strategy' (incidence rate ratio (IRR); 0.28, 95% confidence interval (CI) 0.21-0.37, P<.001). When taking into account strategy and day of

Twitter Strategies for Web-Based Surveying: Descriptive Analysis From the International Concussion Study

PubMed Central

Düking, Peter; Mellalieu, Stephen D

2016-01-01

Background Social media provides researchers with an efficient means to reach and engage with a large and diverse audience. Twitter allows for the virtual social interaction among a network of users that enables researchers to recruit and administer surveys using snowball sampling. Although using Twitter to administer surveys for research is not new, strategies to improve response rates are yet to be reported. Objective To compare the potential and actual reach of 2 Twitter accounts that administered a Web-based concussion survey to rugby players and trainers using 2 distinct Twitter-targeting strategies. Furthermore, the study sought to determine the likelihood of receiving a retweet based on the time of the day and day of the week of posting. Methods A survey based on previous concussion research was exported to a Web-based survey website Survey Monkey. The survey comprised 2 questionnaires, one for players, and one for those involved in the game (eg, coaches and athletic trainers). The Web-based survey was administered using 2 existing Twitter accounts, with each account executing a distinct targeting strategy. A list of potential Twitter accounts to target was drawn up, together with a list of predesigned tweets. The list of accounts to target was divided into ‘High-Profile’ and ‘Low-Profile’, based on each accounts’ position to attract publicity with a high social interaction potential. The potential reach (number of followers of the targeted account), and actual reach (number of retweets received by each post) between the 2 strategies were compared. The number of retweets received by each account was further analyzed to understand when the most likely time of day, and day of the week, a retweet would be received. Results The number of retweets received by a Twitter account decreased by 72% when using the ‘high-profile strategy’ compared with the ‘low-profile strategy’ (incidence rate ratio (IRR); 0.28, 95% confidence interval (CI) 0