An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors

ERIC Educational Resources Information Center

Walker, Karen M.

2017-01-01

Business intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between…

Cognitive and Academic Profiles Associated with Math Disability Subtypes

ERIC Educational Resources Information Center

Kubas, Hanna A.; Schmid, Amy D.; Drefs, Michelle A.; Poole, Jennifer M.; Holland, Sara; Fiorello, Catherine A.

2014-01-01

Children with math disabilities (MD) represent a heterogeneous group and often display deficits in one or more cognitive domains. Math proficiency requires a number of different cognitive processes, including quantitative knowledge, working memory, processing speed, fluid reasoning, and executive functions. Assessment practices that do not address…

Improving Reliability of Spectrum Analysis for Software Quality Requirements Using TCM

NASA Astrophysics Data System (ADS)

Kaiya, Haruhiko; Tanigawa, Masaaki; Suzuki, Shunichi; Sato, Tomonori; Osada, Akira; Kaijiri, Kenji

Quality requirements are scattered over a requirements specification, thus it is hard to measure and trace such quality requirements to validate the specification against stakeholders' needs. We proposed a technique called “spectrum analysis for quality requirements” which enabled analysts to sort a requirements specification to measure and track quality requirements in the specification. In the same way as a spectrum in optics, a quality spectrum of a specification shows a quantitative feature of the specification with respect to quality. Therefore, we can compare a specification of a system to another one with respect to quality. As a result, we can validate such a specification because we can check whether the specification has common quality features and know its specific features against specifications of existing similar systems. However, our first spectrum analysis for quality requirements required a lot of effort and knowledge of a problem domain and it was hard to reuse such knowledge to reduce the effort. We thus introduce domain knowledge called term-characteristic map (TCM) to reuse the knowledge for our quality spectrum analysis. Through several experiments, we evaluate our spectrum analysis, and main finding are as follows. First, we confirmed specifications of similar systems have similar quality spectra. Second, results of spectrum analysis using TCM are objective, i.e., different analysts can generate almost the same spectra when they analyze the same specification.

The Next Frontier: Quantitative Biochemistry in Living Cells.

PubMed

Honigmann, Alf; Nadler, André

2018-01-09

Researchers striving to convert biology into an exact science foremost rely on structural biology and biochemical reconstitution approaches to obtain quantitative data. However, cell biological research is moving at an ever-accelerating speed into areas where these approaches lose much of their edge. Intrinsically unstructured proteins and biochemical interaction networks composed of interchangeable, multivalent, and unspecific interactions pose unique challenges to quantitative biology, as do processes that occur in discrete cellular microenvironments. Here we argue that a conceptual change in our way of conducting biochemical experiments is required to take on these new challenges. We propose that reconstitution of cellular processes in vitro should be much more focused on mimicking the cellular environment in vivo, an approach that requires detailed knowledge of the material properties of cellular compartments, essentially requiring a material science of the cell. In a similar vein, we suggest that quantitative biochemical experiments in vitro should be accompanied by corresponding experiments in vivo, as many newly relevant cellular processes are highly context-dependent. In essence, this constitutes a call for chemical biologists to convert their discipline from a proof-of-principle science to an area that could rightfully be called quantitative biochemistry in living cells. In this essay, we discuss novel techniques and experimental strategies with regard to their potential to fulfill such ambitious aims.

Role of Service Learning in Water Quality Studies

ERIC Educational Resources Information Center

Richards, Wilfred Sugumar

2009-01-01

Background: Chemistry students often complain that they are unmotivated because they see no applications of chemical principles in "real life." It was thus decided to put into use the knowledge gained during the course on water quality and analysis. Learning the principles of quantitative chemical analysis requires innovative, hands-on…

Error Analysis and Remedial Teaching.

ERIC Educational Resources Information Center

Corder, S. Pit

The purpose of this paper is to analyze the role of error analysis in specifying and planning remedial treatment in second language learning. Part 1 discusses situations that demand remedial action. This is a quantitative assessment that requires measurement of the varying degrees of disparity between the learner's knowledge and the demands of the…

Blackboard architecture for medical image interpretation

NASA Astrophysics Data System (ADS)

Davis, Darryl N.; Taylor, Christopher J.

1991-06-01

There is a growing interest in using sophisticated knowledge-based systems for biomedical image interpretation. We present a principled attempt to use artificial intelligence methodologies in interpreting lateral skull x-ray images. Such radiographs are routinely used in cephalometric analysis to provide quantitative measurements useful to clinical orthodontists. Manual and interactive methods of analysis are known to be error prone and previous attempts to automate this analysis typically fail to capture the expertise and adaptability required to cope with the variability in biological structure and image quality. An integrated model-based system has been developed which makes use of a blackboard architecture and multiple knowledge sources. A model definition interface allows quantitative models, of feature appearance and location, to be built from examples as well as more qualitative modelling constructs. Visual task definition and blackboard control modules allow task-specific knowledge sources to act on information available to the blackboard in a hypothesise and test reasoning cycle. Further knowledge-based modules include object selection, location hypothesis, intelligent segmentation, and constraint propagation systems. Alternative solutions to given tasks are permitted.

Knowledge management for efficient quantitative analyses during regulatory reviews.

PubMed

Krudys, Kevin; Li, Fang; Florian, Jeffry; Tornoe, Christoffer; Chen, Ying; Bhattaram, Atul; Jadhav, Pravin; Neal, Lauren; Wang, Yaning; Gobburu, Joga; Lee, Peter I D

2011-11-01

Knowledge management comprises the strategies and methods employed to generate and leverage knowledge within an organization. This report outlines the activities within the Division of Pharmacometrics at the US FDA to effectively manage knowledge with the ultimate goal of improving drug development and advancing public health. The infrastructure required for pharmacometric knowledge management includes provisions for data standards, queryable databases, libraries of modeling tools, archiving of analysis results and reporting templates for effective communication. Two examples of knowledge management systems developed within the Division of Pharmacometrics are used to illustrate these principles. The benefits of sound knowledge management include increased productivity, allowing reviewers to focus on research questions spanning new drug applications, such as improved trial design and biomarker development. The future of knowledge management depends on the collaboration between the FDA and industry to implement data and model standards to enhance sharing and dissemination of knowledge.

[Managerial knowledge required of the nurse in the family health program].

PubMed

Benito, Gladys Amélia Vélez; Becker, Luciana Corrêa; Duarte, Jefferson; Leite, Daniela Stuarte

2005-01-01

This article is a part of a study entitled "Managerial skills required of the nurse in the Family Health Program" which sought to identify the managerial knowledge required of nurses, to run the nursing services in the Family Health Units in a city on the coast of Santa Catarina. Taking the perspective of professionals working in these units, the study used the descriptive-exploratory method, with a quantitative approach and a semi-structured questionnaire. The study sample consisted of 72 participants, who attributed a score of between 1 and 5 for each item on the questionnaire. The results indicated an emphasis on the mastery of a good knowledge of SUS (the national Brazilian healthcare system) policies, which would lead to the development of skills by the nurses, enabling them to achieve a good performance and consequently, ensuring quality care and the concrete resolution of multiple problems, guaranteeing satisfaction for the community, a decrease in levels of epidemiology and a better quality of life for the population.

40 CFR 799.6786 - TSCA water solubility: Generator column method.

Code of Federal Regulations, 2014 CFR

2014-07-01

... quantitative) analysis of solvent extract in paragraph (c)(3)(iv) of this section. The design of the generator.... Finally, the design of most chemical tests and many ecological and health tests requires precise knowledge..., molality, and mole fraction. For example, to convert from weight/volume to molarity molecular mass is...

40 CFR 799.6786 - TSCA water solubility: Generator column method.

Code of Federal Regulations, 2013 CFR

2013-07-01

... quantitative) analysis of solvent extract in paragraph (c)(3)(iv) of this section. The design of the generator.... Finally, the design of most chemical tests and many ecological and health tests requires precise knowledge..., molality, and mole fraction. For example, to convert from weight/volume to molarity molecular mass is...

40 CFR 799.6786 - TSCA water solubility: Generator column method.

Code of Federal Regulations, 2012 CFR

2012-07-01

... quantitative) analysis of solvent extract in paragraph (c)(3)(iv) of this section. The design of the generator.... Finally, the design of most chemical tests and many ecological and health tests requires precise knowledge..., molality, and mole fraction. For example, to convert from weight/volume to molarity molecular mass is...

Using the Principles of "BIO2010" to Develop an Introductory, Interdisciplinary Course for Biology Students

ERIC Educational Resources Information Center

Matthews, Kelly E.; Adams, Peter; Goos, Merrilyn

2010-01-01

Modern biological sciences require practitioners to have increasing levels of knowledge, competence, and skills in mathematics and programming. A recent review of the science curriculum at the University of Queensland, a large, research-intensive institution in Australia, resulted in the development of a more quantitatively rigorous undergraduate…

QTL meta-analysis provides a comprehensive view of loci controlling partial resistance to Aphanomyces euteiches in four sources of resistance in pea

USDA-ARS?s Scientific Manuscript database

More knowledge about diversity of Quantitative Trait Loci (QTL) controlling polygenic disease resistance in natural genetic variation of crop species is required for durably improving plant genetic resistances to pathogens. Polygenic partial resistance to Aphanomyces root rot, due to Aphanomcyces eu...

Knowledge synthesis methods for integrating qualitative and quantitative data: a scoping review reveals poor operationalization of the methodological steps.

PubMed

Tricco, Andrea C; Antony, Jesmin; Soobiah, Charlene; Kastner, Monika; MacDonald, Heather; Cogo, Elise; Lillie, Erin; Tran, Judy; Straus, Sharon E

2016-05-01

To describe and compare, through a scoping review, emerging knowledge synthesis methods for integrating qualitative and quantitative evidence in health care, in terms of expertise required, similarities, differences, strengths, limitations, and steps involved in using the methods. Electronic databases (e.g., MEDLINE) were searched, and two reviewers independently selected studies and abstracted data for qualitative analysis. In total, 121 articles reporting seven knowledge synthesis methods (critical interpretive synthesis, integrative review, meta-narrative review, meta-summary, mixed studies review, narrative synthesis, and realist review) were included after screening of 17,962 citations and 1,010 full-text articles. Common similarities among methods related to the entire synthesis process, while common differences related to the research question and eligibility criteria. The most common strength was a comprehensive synthesis providing rich contextual data, whereas the most common weakness was a highly subjective method that was not reproducible. For critical interpretive synthesis, meta-narrative review, meta-summary, and narrative synthesis, guidance was not provided for some steps of the review process. Some of the knowledge synthesis methods provided guidance on all steps, whereas other methods were missing guidance on the synthesis process. Further work is needed to clarify these emerging knowledge synthesis methods. Copyright © 2016 Elsevier Inc. All rights reserved.

Advanced Diagnostics for Reacting Flows

DTIC Science & Technology

2006-06-01

TECHNICAL DISCUSSION: 1. Infrared-PLIF Imaging Diagnostics using Vibrational Transitions IR-PLIF allows for imaging a group of molecular species important...excitation of IR-active vibrational modes with imaging of the subsequent vibrational fluorescence. Quantitative interpretation requires knowledge of...the vibrational energy transfer processes, and hence in recent years we have been developing models for infrared fluorescence. During the past year

Using XML and XSLT for flexible elicitation of mental-health risk knowledge.

PubMed

Buckingham, C D; Ahmed, A; Adams, A E

2007-03-01

Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge.

Quantitative phase imaging of arthropods

PubMed Central

Sridharan, Shamira; Katz, Aron; Soto-Adames, Felipe; Popescu, Gabriel

2015-01-01

Abstract. Classification of arthropods is performed by characterization of fine features such as setae and cuticles. An unstained whole arthropod specimen mounted on a slide can be preserved for many decades, but is difficult to study since current methods require sample manipulation or tedious image processing. Spatial light interference microscopy (SLIM) is a quantitative phase imaging (QPI) technique that is an add-on module to a commercial phase contrast microscope. We use SLIM to image a whole organism springtail Ceratophysella denticulata mounted on a slide. This is the first time, to our knowledge, that an entire organism has been imaged using QPI. We also demonstrate the ability of SLIM to image fine structures in addition to providing quantitative data that cannot be obtained by traditional bright field microscopy. PMID:26334858

Exploration of student's creativity by integrating STEM knowledge into creative products

NASA Astrophysics Data System (ADS)

Mayasari, Tantri; Kadarohman, Asep; Rusdiana, Dadi; Kaniawati, Ida

2016-02-01

Creativity is an important capability that should be held to competitive standards in the 21st century in entering the era of information and knowledge. It requires a creative generation that is able to innovate to meet the challenges of an increasingly complex future. This study examines the student's creativity level by integrating STEM (Science, Technology, Engineering, and Mathematics) knowledge to make creative products in renewable energy (solar energy). Total respondents in this study were 29 students who take applied science course. This research used qualitative and quantitative method (mixed methods), and used "4P" dimension of creativity to assess student's creativity level. The result showed a creative product is influenced by STEM knowledge that can support student's creativity while collaborating an application of knowledge, skills, and ability to solve daily problems associated with STEM.

Simple and fast spectral domain algorithm for quantitative phase imaging of living cells with digital holographic microscopy

NASA Astrophysics Data System (ADS)

Min, Junwei; Yao, Baoli; Ketelhut, Steffi; Kemper, Björn

2017-02-01

The modular combination of optical microscopes with digital holographic microscopy (DHM) has been proven to be a powerful tool for quantitative live cell imaging. The introduction of condenser and different microscope objectives (MO) simplifies the usage of the technique and makes it easier to measure different kinds of specimens with different magnifications. However, the high flexibility of illumination and imaging also causes variable phase aberrations that need to be eliminated for high resolution quantitative phase imaging. The existent phase aberrations compensation methods either require add additional elements into the reference arm or need specimen free reference areas or separate reference holograms to build up suitable digital phase masks. These inherent requirements make them unpractical for usage with highly variable illumination and imaging systems and prevent on-line monitoring of living cells. In this paper, we present a simple numerical method for phase aberration compensation based on the analysis of holograms in spatial frequency domain with capabilities for on-line quantitative phase imaging. From a single shot off-axis hologram, the whole phase aberration can be eliminated automatically without numerical fitting or pre-knowledge of the setup. The capabilities and robustness for quantitative phase imaging of living cancer cells are demonstrated.

The Determination of Rate-Limiting Steps during Soot Formation

DTIC Science & Technology

1989-04-27

acceleration in chemistry due to the presence of oxygen . Quantitative prediction of soot production , should it become a reality, will require knowledge of...PAH ..... ... ..................... 7 Fig. 4 1.25% Benzene/1% Oxygen - Light Products ........ .................... 8 Fig. 5 1.25% Benzene/0.3% Oxygen ...Benzene/0.3% Oxygen - PAH Production ....... .................. 11 Fig. 8 Evolution of Closed Ring Aromatics (t(source) = oo) .................... .15 Fig

A New Problem-Posing Approach Based on Problem-Solving Strategy: Analyzing Pre-Service Primary School Teachers' Performance

ERIC Educational Resources Information Center

Kiliç, Çigdem

2017-01-01

This study examined pre-service primary school teachers' performance in posing problems that require knowledge of problem-solving strategies. Quantitative and qualitative methods were combined. The 120 participants were asked to pose a problem that could be solved by using the find-a-pattern a particular problem-solving strategy. After that,…

Promoting Social Change through Writing: A Quantitative Study of Research-Based Best Practices in Eighth-Grade Mathematics

ERIC Educational Resources Information Center

Bettencourt, Connie Lynn

2009-01-01

Studies report that U.S. students rank among the lowest in the area of mathematical knowledge of all industrialized countries. Schools in the United States are producing graduates ill-prepared to be successful at jobs which require mathematical competency. To increase mathematical understanding, this study examined the inclusion of writing in…

Quantitative Modeling of Earth Surface Processes

NASA Astrophysics Data System (ADS)

Pelletier, Jon D.

This textbook describes some of the most effective and straightforward quantitative techniques for modeling Earth surface processes. By emphasizing a core set of equations and solution techniques, the book presents state-of-the-art models currently employed in Earth surface process research, as well as a set of simple but practical research tools. Detailed case studies demonstrate application of the methods to a wide variety of processes including hillslope, fluvial, aeolian, glacial, tectonic, and climatic systems. Exercises at the end of each chapter begin with simple calculations and then progress to more sophisticated problems that require computer programming. All the necessary computer codes are available online at www.cambridge.org/9780521855976. Assuming some knowledge of calculus and basic programming experience, this quantitative textbook is designed for advanced geomorphology courses and as a reference book for professional researchers in Earth and planetary science looking for a quantitative approach to Earth surface processes.

The effects of AVIRIS atmospheric calibration methodology on identification and quantitative mapping of surface mineralogy, Drum Mountains, Utah

NASA Technical Reports Server (NTRS)

Kruse, Fred A.; Dwyer, John L.

1993-01-01

The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) measures reflected light in 224 contiguous spectra bands in the 0.4 to 2.45 micron region of the electromagnetic spectrum. Numerous studies have used these data for mineralogic identification and mapping based on the presence of diagnostic spectral features. Quantitative mapping requires conversion of the AVIRIS data to physical units (usually reflectance) so that analysis results can be compared and validated with field and laboratory measurements. This study evaluated two different AVIRIS calibration techniques to ground reflectance: an empirically-based method and an atmospheric model based method to determine their effects on quantitative scientific analyses. Expert system analysis and linear spectral unmixing were applied to both calibrated data sets to determine the effect of the calibration on the mineral identification and quantitative mapping results. Comparison of the image-map results and image reflectance spectra indicate that the model-based calibrated data can be used with automated mapping techniques to produce accurate maps showing the spatial distribution and abundance of surface mineralogy. This has positive implications for future operational mapping using AVIRIS or similar imaging spectrometer data sets without requiring a priori knowledge.

Results of the Lunar Exploration Analysis Group (LEAG) Gap Review: Specific Action Team (SAT), Examination of Strategic Knowledge Gaps (SKGs) for Human Exploration of the Moon

NASA Technical Reports Server (NTRS)

Shearer, C. K.; Eppler, D.; Farrell, W.; Gruener, J.; Lawrence, S.; Pellis, N.; Spudis, P. D.; Stopar, J.; Zeigler, R.; Neal, C;

Optical properties of volcanic ash: improving remote sensing observations.

NASA Astrophysics Data System (ADS)

Whelley, Patrick; Colarco, Peter; Aquila, Valentina; Krotkov, Nickolay; Bleacher, Jake; Garry, Brent; Young, Kelsey; Rocha Lima, Adriana; Martins, Vanderlei; Carn, Simon

2016-04-01

Many times each year explosive volcanic eruptions loft ash into the atmosphere. Global travel and trade rely on aircraft vulnerable to encounters with airborne ash. Volcanic ash advisory centers (VAACs) rely on dispersion forecasts and satellite data to issue timely warnings. To improve ash forecasts model developers and satellite data providers need realistic information about volcanic ash microphysical and optical properties. In anticipation of future large eruptions we can study smaller events to improve our remote sensing and modeling skills so when the next Pinatubo 1991 or larger eruption occurs, ash can confidently be tracked in a quantitative way. At distances >100km from their sources, drifting ash plumes, often above meteorological clouds, are not easily detected from conventional remote sensing platforms, save deriving their quantitative characteristics, such as mass density. Quantitative interpretation of these observations depends on a priori knowledge of the spectral optical properties of the ash in UV (>0.3μm) and TIR wavelengths (>10μm). Incorrect assumptions about the optical properties result in large errors in inferred column mass loading and size distribution, which misguide operational ash forecasts. Similarly, simulating ash properties in global climate models also requires some knowledge of optical properties to improve aerosol speciation.

Integrating Conceptual and Quantitative Knowledge

ERIC Educational Resources Information Center

Metzgar, Matthew

2013-01-01

There has been an emphasis in some science courses to focus more on teaching conceptual knowledge. Though certain innovations have been successful in increasing student conceptual knowledge, performance on quantitative problem-solving tasks often remains unaffected. Research also shows that students tend to maintain conceptual and quantitative…

The Development of Mathematical Knowledge for Teaching for Quantitative Reasoning Using Video-Based Instruction

ERIC Educational Resources Information Center

Walters, Charles David

2017-01-01

Quantitative reasoning (P. W. Thompson, 1990, 1994) is a powerful mathematical tool that enables students to engage in rich problem solving across the curriculum. One way to support students' quantitative reasoning is to develop prospective secondary teachers' (PSTs) mathematical knowledge for teaching (MKT; Ball, Thames, & Phelps, 2008)…

Postgraduate nursing student knowledge, attitudes, skills, and confidence in appropriately referencing academic work.

PubMed

Greenwood, Melanie; Walkem, Kerrie; Smith, Lindsay Mervyn; Shearer, Toniele; Stirling, Christine

2014-08-01

Preventing plagiarism is an ongoing issue for higher education institutions. Although plagiarism has been traditionally seen as cheating, it is increasingly thought to be the result of poor referencing, with students reporting difficulties citing and referencing bibliographic sources. This study examined the academic knowledge, attitude, skills, and confidence of students in a school of nursing to understand poor referencing. A cross-sectional quantitative and qualitative survey was distributed to postgraduate (N = 1,000) certificate, diploma, and master's students. Quantitative data gathered demographics, cultural and linguistic background, and use of technology. Thematic analysis discovered patterns and themes. Results showed participants understood requirements for referencing; half indicated poor referencing was due to difficulty referencing Internet sources or losing track of sources, and many lacked confidence in key referencing tasks. Despite this, 50% did not make use of referencing resources. Overall, these data suggest incorrect referencing is rarely intentional and predominantly caused by skills deficit. Copyright 2014, SLACK Incorporated.

Attitudes to deceased organ donation and registration as a donor among minority ethnic groups in North America and the U.K.: a synthesis of quantitative and qualitative research.

PubMed

Morgan, Myfanwy; Kenten, Charlotte; Deedat, Sarah

2013-01-01

A systematic review and synthesis of quantitative and qualitative research were undertaken to examine attitudes to deceased donation and registration as an organ donor among ethnic minorities in the U.K. and North America. A systematic search and assessments of relevance and quality were conducted. Parallel syntheses were then undertaken of 14 quantitative and 12 qualitative papers followed by their integration. The synthesis was organised around five barriers that emerged as key issues: (1) knowledge regarding deceased donation and registration as a donor; (2) discussion of donation/registration with family members; (3) faith and cultural beliefs; (4) bodily concerns including disfigurement and intactness; and (5) trust in doctors and the health care system. In all countries, knowledge of organ donation and registration remained low despite public campaigns, with African-Americans and Black African and Black Caribbean populations in the U.K. often regarding organ donation as a 'white' issue. Each of the four attitudinal barriers was also more prevalent among ethnic minorities compared with the majority population. However, the significance of trust and uncertainties regarding religion/faith differed between groups, reflecting salient aspects of ethnic identity and experiences. Differences were also identified within ethnic groups associated with age and generation, although respect for the views of elders often influenced younger peoples' willingness to donate. There is a need for a more nuanced understanding of ethnicity and of variations in attitudes associated with country of origin, age/generation, socio-economic status and area of residence, to inform public campaigns and promote sensitive discussions with bereaved ethnic minority families. The traditional focus on knowledge and attitudes also requires to be complemented by a greater emphasis on organisational and service-related barriers and changes required to enhance ethnic minorities' access to registration as a donor and consent to deceased donation.

Knowledge-driven computational modeling in Alzheimer's disease research: Current state and future trends.

PubMed

Geerts, Hugo; Hofmann-Apitius, Martin; Anastasio, Thomas J

2017-11-01

Neurodegenerative diseases such as Alzheimer's disease (AD) follow a slowly progressing dysfunctional trajectory, with a large presymptomatic component and many comorbidities. Using preclinical models and large-scale omics studies ranging from genetics to imaging, a large number of processes that might be involved in AD pathology at different stages and levels have been identified. The sheer number of putative hypotheses makes it almost impossible to estimate their contribution to the clinical outcome and to develop a comprehensive view on the pathological processes driving the clinical phenotype. Traditionally, bioinformatics approaches have provided correlations and associations between processes and phenotypes. Focusing on causality, a new breed of advanced and more quantitative modeling approaches that use formalized domain expertise offer new opportunities to integrate these different modalities and outline possible paths toward new therapeutic interventions. This article reviews three different computational approaches and their possible complementarities. Process algebras, implemented using declarative programming languages such as Maude, facilitate simulation and analysis of complicated biological processes on a comprehensive but coarse-grained level. A model-driven Integration of Data and Knowledge, based on the OpenBEL platform and using reverse causative reasoning and network jump analysis, can generate mechanistic knowledge and a new, mechanism-based taxonomy of disease. Finally, Quantitative Systems Pharmacology is based on formalized implementation of domain expertise in a more fine-grained, mechanism-driven, quantitative, and predictive humanized computer model. We propose a strategy to combine the strengths of these individual approaches for developing powerful modeling methodologies that can provide actionable knowledge for rational development of preventive and therapeutic interventions. Development of these computational approaches is likely to be required for further progress in understanding and treating AD. Copyright © 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

A Quantitative Study Analyzing Predictive Factors That Affect Achievement on Florida's Algebra I End-of-Course Exam (EOC)

ERIC Educational Resources Information Center

Holley, Hope D.

2017-01-01

Despite research that high-stakes tests do not improve knowledge, Florida requires students to pass an Algebra I End-of-Course exam (EOC) to earn a high school diploma. Test passing scores are determined by a raw score to t-score to scale score analysis. This method ultimately results as a comparative test model where students' passage is…

Radio Studies of Coronal Holes.

DTIC Science & Technology

1981-03-01

Withbroe (1978) has pointed out, "The transport of energy by thermal conduction into the transition zone is a primary coronal cooling mechanism." Thus, the...temperature and particle density gradients in the transition zone are of critical importance in understanding the energy balance of a coronal hole. The...coronal hole has been provided by Konp and Orrall (1977), but a quantitative understanding requires a detailed knowledge of the energy balance in the

Evolution of enzymes in a series is driven by dissimilar functional demands.

PubMed

Salvador, Armindo; Savageau, Michael A

2006-02-14

That distinct enzyme activities in an unbranched metabolic pathway are evolutionarily tuned to a single functional requirement is a pervasive assumption. Here we test this assumption by examining the activities of two consecutively acting enzymes in human erythrocytes with an approach to quantitative evolutionary design that avoids the above-mentioned assumption. We previously found that avoidance of NADPH depletion during the pulses of oxidative load to which erythrocytes are normally exposed is the main functional requirement mediating selection for high glucose-6-phosphate dehydrogenase activity. In the present study, we find that, in contrast, the maintenance of oxidized glutathione at low concentrations is the main functional requirement mediating selection for high glutathione reductase activity. The results in this case show that, contrary to the assumption of a single functional requirement, natural selection for the normal activities of the distinct enzymes in the pathway is mediated by different requirements. On the other hand, the results agree with the more general principles that underlie our approach. Namely, that (i) the values of biochemical parameters evolve so as to fulfill the various performance requirements that are relevant to achieve high fitness, and (ii) these performance requirements can be inferred from quantitative systems theory considerations, informed by knowledge of specific aspects of the biochemistry, physiology, genetics, and ecology of the organism.

Test and Evaluation for Enhanced Security: A Quantitative Method to Incorporate Expert Knowledge into Test Planning Decisions.

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

Rizzo, Davinia; Blackburn, Mark

Complex systems are comprised of technical, social, political and environmental factors as well as the programmatic factors of cost, schedule and risk. Testing these systems for enhanced security requires expert knowledge in many different fields. It is important to test these systems to ensure effectiveness, but testing is limited to due cost, schedule, safety, feasibility and a myriad of other reasons. Without an effective decision framework for Test and Evaluation (T&E) planning that can take into consideration technical as well as programmatic factors and leverage expert knowledge, security in complex systems may not be assessed effectively. Therefore, this paper coversmore » the identification of the current T&E planning problem and an approach to include the full variety of factors and leverage expert knowledge in T&E planning through the use of Bayesian Networks (BN).« less

[The functional independence of lexical numeric knowledge and the representation of magnitude: evidence from one case].

PubMed

Salguero-Alcañiz, M P; Lorca-Marín, J A; Alameda-Bailén, J R

The ultimate purpose of cognitive neuropsychology is to find out how normal cognitive processes work. To this end, it studies subjects who have suffered brain damage but who, until their accident, were competent in the skills that are later to become the object of study. It is therefore necessary to study patients who have difficulty in processing numbers and in calculating in order to further our knowledge of these processes in the normal population. Our aim was to analyse the relationships between the different cognitive processes involved in numeric knowledge. We studied the case of a female patient who suffered an ischemic infarct in the perisylvian region, on both a superficial and deep level. She presented predominantly expressive mixed aphasia and predominantly brachial hemiparesis. Numeric processing and calculation were evaluated. The patient still had her lexical numeric knowledge but her quantitative numeric knowledge was impaired. These alterations in the quantitative numeric knowledge are evidenced by the difficulties the patient had in numeric comprehension tasks, as well as the severe impairments displayed in calculation. These findings allow us to conclude that quantitative numeric knowledge is functionally independent of lexical or non-quantitative numeric knowledge. From this functional autonomy, a possible structural independence can be inferred.

Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers.

PubMed

Buckler, Andrew J; Liu, Tiffany Ting; Savig, Erica; Suzek, Baris E; Ouellette, M; Danagoulian, J; Wernsing, G; Rubin, Daniel L; Paik, David

2013-08-01

A widening array of novel imaging biomarkers is being developed using ever more powerful clinical and preclinical imaging modalities. These biomarkers have demonstrated effectiveness in quantifying biological processes as they occur in vivo and in the early prediction of therapeutic outcomes. However, quantitative imaging biomarker data and knowledge are not standardized, representing a critical barrier to accumulating medical knowledge based on quantitative imaging data. We use an ontology to represent, integrate, and harmonize heterogeneous knowledge across the domain of imaging biomarkers. This advances the goal of developing applications to (1) improve precision and recall of storage and retrieval of quantitative imaging-related data using standardized terminology; (2) streamline the discovery and development of novel imaging biomarkers by normalizing knowledge across heterogeneous resources; (3) effectively annotate imaging experiments thus aiding comprehension, re-use, and reproducibility; and (4) provide validation frameworks through rigorous specification as a basis for testable hypotheses and compliance tests. We have developed the Quantitative Imaging Biomarker Ontology (QIBO), which currently consists of 488 terms spanning the following upper classes: experimental subject, biological intervention, imaging agent, imaging instrument, image post-processing algorithm, biological target, indicated biology, and biomarker application. We have demonstrated that QIBO can be used to annotate imaging experiments with standardized terms in the ontology and to generate hypotheses for novel imaging biomarker-disease associations. Our results established the utility of QIBO in enabling integrated analysis of quantitative imaging data.

Systems Toxicology: From Basic Research to Risk Assessment

PubMed Central

2014-01-01

Systems Toxicology is the integration of classical toxicology with quantitative analysis of large networks of molecular and functional changes occurring across multiple levels of biological organization. Society demands increasingly close scrutiny of the potential health risks associated with exposure to chemicals present in our everyday life, leading to an increasing need for more predictive and accurate risk-assessment approaches. Developing such approaches requires a detailed mechanistic understanding of the ways in which xenobiotic substances perturb biological systems and lead to adverse outcomes. Thus, Systems Toxicology approaches offer modern strategies for gaining such mechanistic knowledge by combining advanced analytical and computational tools. Furthermore, Systems Toxicology is a means for the identification and application of biomarkers for improved safety assessments. In Systems Toxicology, quantitative systems-wide molecular changes in the context of an exposure are measured, and a causal chain of molecular events linking exposures with adverse outcomes (i.e., functional and apical end points) is deciphered. Mathematical models are then built to describe these processes in a quantitative manner. The integrated data analysis leads to the identification of how biological networks are perturbed by the exposure and enables the development of predictive mathematical models of toxicological processes. This perspective integrates current knowledge regarding bioanalytical approaches, computational analysis, and the potential for improved risk assessment. PMID:24446777

Systems toxicology: from basic research to risk assessment.

PubMed

Sturla, Shana J; Boobis, Alan R; FitzGerald, Rex E; Hoeng, Julia; Kavlock, Robert J; Schirmer, Kristin; Whelan, Maurice; Wilks, Martin F; Peitsch, Manuel C

2014-03-17

Systems Toxicology is the integration of classical toxicology with quantitative analysis of large networks of molecular and functional changes occurring across multiple levels of biological organization. Society demands increasingly close scrutiny of the potential health risks associated with exposure to chemicals present in our everyday life, leading to an increasing need for more predictive and accurate risk-assessment approaches. Developing such approaches requires a detailed mechanistic understanding of the ways in which xenobiotic substances perturb biological systems and lead to adverse outcomes. Thus, Systems Toxicology approaches offer modern strategies for gaining such mechanistic knowledge by combining advanced analytical and computational tools. Furthermore, Systems Toxicology is a means for the identification and application of biomarkers for improved safety assessments. In Systems Toxicology, quantitative systems-wide molecular changes in the context of an exposure are measured, and a causal chain of molecular events linking exposures with adverse outcomes (i.e., functional and apical end points) is deciphered. Mathematical models are then built to describe these processes in a quantitative manner. The integrated data analysis leads to the identification of how biological networks are perturbed by the exposure and enables the development of predictive mathematical models of toxicological processes. This perspective integrates current knowledge regarding bioanalytical approaches, computational analysis, and the potential for improved risk assessment.

Cost analysis of oxygen recovery systems

NASA Technical Reports Server (NTRS)

Yakut, M. M.

1973-01-01

Report is made of the cost analysis of four leading oxygen recovery subsystems which include two carbon dioxide reduction subsystems and two water electrolysis subsystems, namely, the solid polymer electrolyte and the circulating KOH electrolyte. The four oxygen recovery systems were quantitatively evaluated. System characteristics, including process flows, performance, and physical characteristics were also analyzed. Additionally, the status of development of each of the systems considered and the required advance technology efforts required to bring conceptual and/or pre-prototype hardware to an operational prototype status were defined. Intimate knowledge of the operations, development status, and capabilities of the systems to meet space mission requirements were found to be essential in establishing the cost estimating relationships for advanced life support systems.

How can we establish more successful knowledge networks in developing countries? Lessons learnt from knowledge networks in Iran.

PubMed

Yazdizadeh, Bahareh; Majdzadeh, Reza; Alami, Ali; Amrolalaei, Sima

2014-10-29

Formal knowledge networks are considered among the solutions for strengthening knowledge translation and one of the elements of innovative systems in developing and developed countries. In the year 2000, knowledge networks were established in Iran's health system to organize, lead, empower, and coordinate efforts made by health-related research centers in the country. Since the assessment of a knowledge network is one of the main requirements for its success, the current study was designed in two qualitative and quantitative sections to identify the strengths and weaknesses of the established knowledge networks and to assess their efficiency. In the qualitative section, semi-structured, in-depth interviews were held with network directors and secretaries. The interviews were analyzed through the framework approach. To analyze effectiveness, social network analysis approach was used. That is, by considering the networks' research council members as 'nodes', and the numbers of their joint articles--before and after the network establishments--as 'relations or ties', indices of density, clique, and centrality were calculated for each network. In the qualitative section, non-transparency of management, lack of goals, administrative problems were among the most prevalent issues observed. Currently, the most important challenges are the policies related to them and their management. In the quantitative section, we observed that density and clique indices had risen for some networks; however, the centrality index for the same networks was not as high. Consequently the attribution of density and clique indices to these networks was not possible. Therefore, consolidating and revising policies relevant to the networks and preparing a guide for establishing managing networks could prove helpful. To develop knowledge and technology in a country, networks need to solve the problems they face in management and governance. That is, the first step towards the realization of true knowledge networks in health system.

Estimation of the number of fluorescent end-members for quantitative analysis of multispectral FLIM data.

PubMed

Gutierrez-Navarro, Omar; Campos-Delgado, Daniel U; Arce-Santana, Edgar R; Maitland, Kristen C; Cheng, Shuna; Jabbour, Joey; Malik, Bilal; Cuenca, Rodrigo; Jo, Javier A

2014-05-19

Multispectral fluorescence lifetime imaging (m-FLIM) can potentially allow identifying the endogenous fluorophores present in biological tissue. Quantitative description of such data requires estimating the number of components in the sample, their characteristic fluorescent decays, and their relative contributions or abundances. Unfortunately, this inverse problem usually requires prior knowledge about the data, which is seldom available in biomedical applications. This work presents a new methodology to estimate the number of potential endogenous fluorophores present in biological tissue samples from time-domain m-FLIM data. Furthermore, a completely blind linear unmixing algorithm is proposed. The method was validated using both synthetic and experimental m-FLIM data. The experimental m-FLIM data include in-vivo measurements from healthy and cancerous hamster cheek-pouch epithelial tissue, and ex-vivo measurements from human coronary atherosclerotic plaques. The analysis of m-FLIM data from in-vivo hamster oral mucosa identified healthy from precancerous lesions, based on the relative concentration of their characteristic fluorophores. The algorithm also provided a better description of atherosclerotic plaques in term of their endogenous fluorophores. These results demonstrate the potential of this methodology to provide quantitative description of tissue biochemical composition.

How Do We Measure Value in Data Reuse? Ethical Data Sharing for the Social Sciences and Indigenous Knowledge

NASA Astrophysics Data System (ADS)

Strawhacker, C.

2017-12-01

As a result of the `open data' movement, an increased focus on how data should be attributed and cited has become increasingly important. As data becomes reused in analyses not performed by the initial data creator, efforts have turned to crediting the data creator, such as data citation and metrics of reuse to ensure appropriate attribution to the original data author. The increased focused on metrics and citation, however, need to be carefully considered when it comes to social science data, local observations, and Indigenous Knowledge held by Indigenous communities. These diverse and sometimes sensitive data/information/knowledge sets often require deep nuance, thought, and compromise within the `open data' framework, in order to consider issues of the confidentiality of research subject and the ownership of data and information, often in a colonial context. Furthermore, these datasets are often highly valuable to one or two villages, saving lives and retaining culture within. In these cases quantitative metrics of "data reuse" and citation do not adequately measure a dataset's `value.' On this panel, I will provide examples of datasets that are highly valuable to small communities from my research in the Arctic and US Southwest. These datasets are not highly cited or have impressive quantitative metrics (e.g., number of downloads) but have been incredibly valuable to the community where the data/information/Knowledge are held. These cases include atlases of placenames held by elders in small Arctic communities, as well as databases of local observations of wildlife and sea ice in Alaska that are essential for sharing knowledge across multiple villages. These examples suggest that a more nuanced approach to understanding how data should be accredited would be useful when working with social science data and Indigenous Knowledge.

Uncertainty Quantification Techniques for Population Density Estimates Derived from Sparse Open Source Data

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

Stewart, Robert N; White, Devin A; Urban, Marie L

2013-01-01

The Population Density Tables (PDT) project at the Oak Ridge National Laboratory (www.ornl.gov) is developing population density estimates for specific human activities under normal patterns of life based largely on information available in open source. Currently, activity based density estimates are based on simple summary data statistics such as range and mean. Researchers are interested in improving activity estimation and uncertainty quantification by adopting a Bayesian framework that considers both data and sociocultural knowledge. Under a Bayesian approach knowledge about population density may be encoded through the process of expert elicitation. Due to the scale of the PDT effort whichmore » considers over 250 countries, spans 40 human activity categories, and includes numerous contributors, an elicitation tool is required that can be operationalized within an enterprise data collection and reporting system. Such a method would ideally require that the contributor have minimal statistical knowledge, require minimal input by a statistician or facilitator, consider human difficulties in expressing qualitative knowledge in a quantitative setting, and provide methods by which the contributor can appraise whether their understanding and associated uncertainty was well captured. This paper introduces an algorithm that transforms answers to simple, non-statistical questions into a bivariate Gaussian distribution as the prior for the Beta distribution. Based on geometric properties of the Beta distribution parameter feasibility space and the bivariate Gaussian distribution, an automated method for encoding is developed that responds to these challenging enterprise requirements. Though created within the context of population density, this approach may be applicable to a wide array of problem domains requiring informative priors for the Beta distribution.« less

Qualitative research: a brief description.

PubMed

Kemparaj, Umesh; Chavan, Sangeeta

2013-01-01

Qualitative research refers to, a range of methodological approaches which aim to generate an in-depth and interpreted understanding of the social world, by learning about people's social and material circumstances, their experiences, perspectives, and histories. Requires researchers to become intensely involved, often remaining in field for lengthy periods of time. The greatest value of qualitative research is its ability to address questions of relevance to public health knowledge and practice which are difficult to answer satisfactorily using quantitative methods.

A Systematic Review of Athletes’ and Coaches’ Nutrition Knowledge and Reflections on the Quality of Current Nutrition Knowledge Measures

PubMed Central

Trakman, Gina L.; Forsyth, Adrienne; Devlin, Brooke L.; Belski, Regina

2016-01-01

Context: Nutrition knowledge can influence dietary choices and impact on athletic performance. Valid and reliable measures are needed to assess the nutrition knowledge of athletes and coaches. Objectives: (1) To systematically review the published literature on nutrition knowledge of adult athletes and coaches and (2) to assess the quality of measures used to assess nutrition knowledge. Data Sources: MEDLINE, CINAHL, SPORTDiscuss, Web of Science, and SCOPUS. Study Selection: 36 studies that provided a quantitative measure of nutrition knowledge and described the measurement tool that was used were included. Data extraction: Participant description, questionnaire description, results (mean correct and responses to individual items), study quality, and questionnaire quality. Data synthesis: All studies were of neutral quality. Tools used to measure knowledge did not consider health literacy, were outdated with regards to consensus recommendations, and lacked appropriate and adequate validation. The current status of nutrition knowledge in athletes and coaches is difficult to ascertain. Gaps in knowledge also remain unclear, but it is likely that energy density, the need for supplementation, and the role of protein are frequently misunderstood. Conclusions: Previous reports of nutrition knowledge need to be interpreted with caution. A new, universal, up-to-date, validated measure of general and sports nutrition knowledge is required to allow for assessment of nutrition knowledge. PMID:27649242

Use of mechanistic simulations as a quantitative risk-ranking tool within the quality by design framework.

PubMed

Stocker, Elena; Toschkoff, Gregor; Sacher, Stephan; Khinast, Johannes G

2014-11-20

The purpose of this study is to evaluate the use of computer simulations for generating quantitative knowledge as a basis for risk ranking and mechanistic process understanding, as required by ICH Q9 on quality risk management systems. In this specific publication, the main focus is the demonstration of a risk assessment workflow, including a computer simulation for the generation of mechanistic understanding of active tablet coating in a pan coater. Process parameter screening studies are statistically planned under consideration of impacts on a potentially critical quality attribute, i.e., coating mass uniformity. Based on computer simulation data the process failure mode and effects analysis of the risk factors is performed. This results in a quantitative criticality assessment of process parameters and the risk priority evaluation of failure modes. The factor for a quantitative reassessment of the criticality and risk priority is the coefficient of variation, which represents the coating mass uniformity. The major conclusion drawn from this work is a successful demonstration of the integration of computer simulation in the risk management workflow leading to an objective and quantitative risk assessment. Copyright © 2014. Published by Elsevier B.V.

Cartilage Repair Surgery: Outcome Evaluation by Using Noninvasive Cartilage Biomarkers Based on Quantitative MRI Techniques?

PubMed Central

Jungmann, Pia M.; Baum, Thomas; Bauer, Jan S.; Karampinos, Dimitrios C.; Link, Thomas M.; Li, Xiaojuan; Trattnig, Siegfried; Rummeny, Ernst J.; Woertler, Klaus; Welsch, Goetz H.

2014-01-01

Background. New quantitative magnetic resonance imaging (MRI) techniques are increasingly applied as outcome measures after cartilage repair. Objective. To review the current literature on the use of quantitative MRI biomarkers for evaluation of cartilage repair at the knee and ankle. Methods. Using PubMed literature research, studies on biochemical, quantitative MR imaging of cartilage repair were identified and reviewed. Results. Quantitative MR biomarkers detect early degeneration of articular cartilage, mainly represented by an increasing water content, collagen disruption, and proteoglycan loss. Recently, feasibility of biochemical MR imaging of cartilage repair tissue and surrounding cartilage was demonstrated. Ultrastructural properties of the tissue after different repair procedures resulted in differences in imaging characteristics. T2 mapping, T1rho mapping, delayed gadolinium-enhanced MRI of cartilage (dGEMRIC), and diffusion weighted imaging (DWI) are applicable on most clinical 1.5 T and 3 T MR scanners. Currently, a standard of reference is difficult to define and knowledge is limited concerning correlation of clinical and MR findings. The lack of histological correlations complicates the identification of the exact tissue composition. Conclusions. A multimodal approach combining several quantitative MRI techniques in addition to morphological and clinical evaluation might be promising. Further investigations are required to demonstrate the potential for outcome evaluation after cartilage repair. PMID:24877139

Healthcare waste management: qualitative and quantitative appraisal of nurses in a tertiary care hospital of India.

PubMed

Shivalli, Siddharudha; Sanklapur, Vasudha

2014-01-01

The nurse's role in healthcare waste management is crucial. (1) To appraise nurses quantitatively and qualitatively regarding healthcare waste management; (2) to elicit the determinants of knowledge and attitudes of healthcare waste management. A cross-sectional study was undertaken at a tertiary care hospital of Mangalore, India. Self-administered pretested questionnaire and "nonparticipatory observation" were used for quantitative and qualitative appraisals. Percentage knowledge score was calculated based on their total knowledge score. Nurses' knowledge was categorized as excellent (>70%), good (50-70%), and poor (<50%). Chi square test was applied to judge the association of study variables with their attitudes and knowledge. Out of 100 nurses 47 had excellent knowledge (>70% score). Most (86%) expressed the need of refresher training. No study variable displayed significant association (P > 0.05) with knowledge. Apt segregation practices were followed except in casualty. Patients and entourages misinterpreted the colored containers. Nurses' knowledge and healthcare waste management practices were not satisfactory. There is a need of refresher trainings at optimum intervals to ensure sustainability and further improvement. Educating patients and their entourages and display of segregation information board in local language are recommended.

A review of quantitative structure-property relationships for the fate of ionizable organic chemicals in water matrices and identification of knowledge gaps.

PubMed

Nolte, Tom M; Ragas, Ad M J

2017-03-22

Many organic chemicals are ionizable by nature. After use and release into the environment, various fate processes determine their concentrations, and hence exposure to aquatic organisms. In the absence of suitable data, such fate processes can be estimated using Quantitative Structure-Property Relationships (QSPRs). In this review we compiled available QSPRs from the open literature and assessed their applicability towards ionizable organic chemicals. Using quantitative and qualitative criteria we selected the 'best' QSPRs for sorption, (a)biotic degradation, and bioconcentration. The results indicate that many suitable QSPRs exist, but some critical knowledge gaps remain. Specifically, future focus should be directed towards the development of QSPR models for biodegradation in wastewater and sediment systems, direct photolysis and reaction with singlet oxygen, as well as additional reactive intermediates. Adequate QSPRs for bioconcentration in fish exist, but more accurate assessments can be achieved using pharmacologically based toxicokinetic (PBTK) models. No adequate QSPRs exist for bioconcentration in non-fish species. Due to the high variability of chemical and biological species as well as environmental conditions in QSPR datasets, accurate predictions for specific systems and inter-dataset conversions are problematic, for which standardization is needed. For all QSPR endpoints, additional data requirements involve supplementing the current chemical space covered and accurately characterizing the test systems used.

Space Radiation and Exploration - Information for the Augustine Committee Review

NASA Technical Reports Server (NTRS)

Cucinotta, Francis; Semones, Edward; Kim, Myung-Hee; Jackson, Lori

2009-01-01

Space radiation presents significant health risks including mortality for Exploration missions: a) Galactic cosmic ray (GCR) heavy ions are distinct from radiation that occurs on Earth leading to different biological impacts. b) Large uncertainties in GCR risk projections impact ability to design and assess mitigation approaches and select crew. c) Solar Proton Events (SPEs) require new operational and shielding approaches and new biological data on risks. Risk estimates are changing as new scientific knowledge is gained: a) Research on biological effects of space radiation show qualitative and quantitative differences with X- or gamma-rays. b) Expert recommendations and regulatory policy are changing. c) New knowledge leads to changes in estimates for the number of days in space to stay below Permissible Exposure Limits (PELS).

An MRM-based workflow for absolute quantitation of lysine-acetylated metabolic enzymes in mouse liver.

PubMed

Xu, Leilei; Wang, Fang; Xu, Ying; Wang, Yi; Zhang, Cuiping; Qin, Xue; Yu, Hongxiu; Yang, Pengyuan

2015-12-07

As a key post-translational modification mechanism, protein acetylation plays critical roles in regulating and/or coordinating cell metabolism. Acetylation is a prevalent modification process in enzymes. Protein acetylation modification occurs in sub-stoichiometric amounts; therefore extracting biologically meaningful information from these acetylation sites requires an adaptable, sensitive, specific, and robust method for their quantification. In this work, we combine immunoassays and multiple reaction monitoring-mass spectrometry (MRM-MS) technology to develop an absolute quantification for acetylation modification. With this hybrid method, we quantified the acetylation level of metabolic enzymes, which could demonstrate the regulatory mechanisms of the studied enzymes. The development of this quantitative workflow is a pivotal step for advancing our knowledge and understanding of the regulatory effects of protein acetylation in physiology and pathophysiology.

Knowledge brokering on emissions modelling in Strategic Environmental Assessment of Estonian energy policy with special reference to the LEAP model

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

Kuldna, Piret, E-mail: piret.kuldna@seit.ee; Peterson, Kaja; Kuhi-Thalfeldt, Reeli

Strategic Environmental Assessment (SEA) serves as a platform for bringing together researchers, policy developers and other stakeholders to evaluate and communicate significant environmental and socio-economic effects of policies, plans and programmes. Quantitative computer models can facilitate knowledge exchange between various parties that strive to use scientific findings to guide policy-making decisions. The process of facilitating knowledge generation and exchange, i.e. knowledge brokerage, has been increasingly explored, but there is not much evidence in the literature on how knowledge brokerage activities are used in full cycles of SEAs which employ quantitative models. We report on the SEA process of the nationalmore » energy plan with reflections on where and how the Long-range Energy Alternatives Planning (LEAP) model was used for knowledge brokerage on emissions modelling between researchers and policy developers. Our main suggestion is that applying a quantitative model not only in ex ante, but also ex post scenario modelling and associated impact assessment can facilitate systematic and inspiring knowledge exchange process on a policy problem and capacity building of participating actors. - Highlights: • We examine the knowledge brokering on emissions modelling between researchers and policy developers in a full cycle of SEA. • Knowledge exchange process can evolve at any modelling stage within SEA. • Ex post scenario modelling enables systematic knowledge exchange and learning on a policy problem.« less

A Network Neuroscience of Human Learning: Potential To Inform Quantitative Theories of Brain and Behavior

PubMed Central

Bassett, Danielle S.; Mattar, Marcelo G.

2017-01-01

Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior. PMID:28259554

A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.

PubMed

Bassett, Danielle S; Mattar, Marcelo G

2017-04-01

Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

Predicting Children's Reading and Mathematics Achievement from Early Quantitative Knowledge and Domain-General Cognitive Abilities

PubMed Central

Chu, Felicia W.; vanMarle, Kristy; Geary, David C.

2016-01-01

One hundred children (44 boys) participated in a 3-year longitudinal study of the development of basic quantitative competencies and the relation between these competencies and later mathematics and reading achievement. The children's preliteracy knowledge, intelligence, executive functions, and parental educational background were also assessed. The quantitative tasks assessed a broad range of symbolic and nonsymbolic knowledge and were administered four times across 2 years of preschool. Mathematics achievement was assessed at the end of each of 2 years of preschool, and mathematics and word reading achievement were assessed at the end of kindergarten. Our goals were to determine how domain-general abilities contribute to growth in children's quantitative knowledge and to determine how domain-general and domain-specific abilities contribute to children's preschool mathematics achievement and kindergarten mathematics and reading achievement. We first identified four core quantitative competencies (e.g., knowledge of the cardinal value of number words) that predict later mathematics achievement. The domain-general abilities were then used to predict growth in these competencies across 2 years of preschool, and the combination of domain-general abilities, preliteracy skills, and core quantitative competencies were used to predict mathematics achievement across preschool and mathematics and word reading achievement at the end of kindergarten. Both intelligence and executive functions predicted growth in the four quantitative competencies, especially across the first year of preschool. A combination of domain-general and domain-specific competencies predicted preschoolers' mathematics achievement, with a trend for domain-specific skills to be more strongly related to achievement at the beginning of preschool than at the end of preschool. Preschool preliteracy skills, sensitivity to the relative quantities of collections of objects, and cardinal knowledge predicted reading and mathematics achievement at the end of kindergarten. Preliteracy skills were more strongly related to word reading, whereas sensitivity to relative quantity was more strongly related to mathematics achievement. The overall results indicate that a combination of domain-general and domain-specific abilities contribute to development of children's early mathematics and reading achievement. PMID:27252675

Predicting Children's Reading and Mathematics Achievement from Early Quantitative Knowledge and Domain-General Cognitive Abilities.

PubMed

Chu, Felicia W; vanMarle, Kristy; Geary, David C

2016-01-01

One hundred children (44 boys) participated in a 3-year longitudinal study of the development of basic quantitative competencies and the relation between these competencies and later mathematics and reading achievement. The children's preliteracy knowledge, intelligence, executive functions, and parental educational background were also assessed. The quantitative tasks assessed a broad range of symbolic and nonsymbolic knowledge and were administered four times across 2 years of preschool. Mathematics achievement was assessed at the end of each of 2 years of preschool, and mathematics and word reading achievement were assessed at the end of kindergarten. Our goals were to determine how domain-general abilities contribute to growth in children's quantitative knowledge and to determine how domain-general and domain-specific abilities contribute to children's preschool mathematics achievement and kindergarten mathematics and reading achievement. We first identified four core quantitative competencies (e.g., knowledge of the cardinal value of number words) that predict later mathematics achievement. The domain-general abilities were then used to predict growth in these competencies across 2 years of preschool, and the combination of domain-general abilities, preliteracy skills, and core quantitative competencies were used to predict mathematics achievement across preschool and mathematics and word reading achievement at the end of kindergarten. Both intelligence and executive functions predicted growth in the four quantitative competencies, especially across the first year of preschool. A combination of domain-general and domain-specific competencies predicted preschoolers' mathematics achievement, with a trend for domain-specific skills to be more strongly related to achievement at the beginning of preschool than at the end of preschool. Preschool preliteracy skills, sensitivity to the relative quantities of collections of objects, and cardinal knowledge predicted reading and mathematics achievement at the end of kindergarten. Preliteracy skills were more strongly related to word reading, whereas sensitivity to relative quantity was more strongly related to mathematics achievement. The overall results indicate that a combination of domain-general and domain-specific abilities contribute to development of children's early mathematics and reading achievement.

The effects of Wechsler Intelligence Scale for Children-Fourth Edition cognitive abilities on math achievement.

PubMed

Parkin, Jason R; Beaujean, A Alexander

2012-02-01

This study used structural equation modeling to examine the effect of Stratum III (i.e., general intelligence) and Stratum II (i.e., Comprehension-Knowledge, Fluid Reasoning, Short-Term Memory, Processing Speed, and Visual Processing) factors of the Cattell-Horn-Carroll (CHC) cognitive abilities, as operationalized by the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV; Wechsler, 2003a) subtests, on Quantitative Knowledge, as operationalized by the Wechsler Individual Achievement Test, Second Edition (WIAT-II; Wechsler, 2002) subtests. Participants came from the WISC-IV/WIAT-II linking sample (n=550). We compared models that predicted Quantitative Knowledge using only Stratum III factors, only Stratum II factors, and both Stratum III and Stratum II factors. Results indicated that the model with only the Stratum III factor predicting Quantitative Knowledge best fit the data. Copyright © 2011 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

A new organismal systems biology: how animals walk the tight rope between stability and change.

PubMed

Padilla, Dianna K; Tsukimura, Brian

2014-07-01

The amount of knowledge in the biological sciences is growing at an exponential rate. Simultaneously, the incorporation of new technologies in gathering scientific information has greatly accelerated our capacity to ask, and answer, new questions. How do we, as organismal biologists, meet these challenges, and develop research strategies that will allow us to address the grand challenge question: how do organisms walk the tightrope between stability and change? Organisms and organismal systems are complex, and multi-scale in both space and time. It is clear that addressing major questions about organismal biology will not come from "business as usual" approaches. Rather, we require the collaboration of a wide range of experts and integration of biological information with more quantitative approaches traditionally found in engineering and applied mathematics. Research programs designed to address grand challenge questions will require deep knowledge and expertise within subfields of organismal biology, collaboration and integration among otherwise disparate areas of research, and consideration of organisms as integrated systems. Our ability to predict which features of complex integrated systems provide the capacity to be robust in changing environments is poorly developed. A predictive organismal biology is needed, but will require more quantitative approaches than are typical in biology, including complex systems-modeling approaches common to engineering. This new organismal systems biology will have reciprocal benefits for biologists, engineers, and mathematicians who address similar questions, including those working on control theory and dynamical systems biology, and will develop the tools we need to address the grand challenge questions of the 21st century. © The Author 2014. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Planning bioinformatics workflows using an expert system.

PubMed

Chen, Xiaoling; Chang, Jeffrey T

2017-04-15

Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. https://github.com/jefftc/changlab. jeffrey.t.chang@uth.tmc.edu. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Planning bioinformatics workflows using an expert system

PubMed Central

Chen, Xiaoling; Chang, Jeffrey T.

2017-01-01

Abstract Motivation: Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. Results: To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. Availability and Implementation: https://github.com/jefftc/changlab Contact: jeffrey.t.chang@uth.tmc.edu PMID:28052928

Attitudes towards Knowledge Management of School Administrators and Teachers Working in Turkish Schools

ERIC Educational Resources Information Center

Dogan, Soner; Yigit, Yakup

2014-01-01

The aim of this study is to investigate attitudes of school administrators and teachers working in Turkish schools towards knowledge management. In this research, an explanatory design incorporating quantitative and qualitative methods was used. The quantitative strand of the study was designed as a survey model, and the data was collected from…

An assessment of the HIV/TB knowledge and skills of home-based carers working in the North West province in South Africa: a cross-sectional study.

PubMed

Engelbrecht, Justin G; Letsoalo, Mabjala R; Chirowodza, Admire C

2017-04-19

Home-based carers (HBCs) play a critical role in ensuring the success of the primary health care re-engineering strategy in South Africa. Their role includes ensuring improved access to and delivery of primary health care at the household level, and better co-ordination and improved linkages between community and health facilities for HIV/TB services. The objective of this study was to assess the knowledge, skills, challenges and training needs of HBCs involved in HIV/TB care in one sub-district in the North-West province of South Africa. We conducted a descriptive, cross-sectional study in which 157 HBCs were interviewed to assess their knowledge and skills regarding HIV and TB. Data were collected using a pre-tested semi-structured questionnaire. Quantitative and qualitative data were analysed using SPSS statistical software and thematic analysis respectively. One hundred and forty-four (92%) of the interviewees were female and 13 (8%) were male. The median age of the participants was 35 years (interquartile range (IQR): 22-27). The median score for knowledge of both HIV and TB questions was 66% (IQR: 57-75). In general, HIV knowledge scores were higher than TB knowledge scores (73% versus 66%). A significant association was found between knowledge scores and formal training (p < 0.05), and knowledge scores and highest educational levels (p < 0.05). Irrespective of knowledge, HBCs reported providing a variety of services to support HIV/TB services in the communities in which they worked. HBCs also reported facing various challenges in their jobs related to stigma and the social contexts in which they work. The study showed that the overall knowledge of HBCs was limited, given the skills required and the services they provide. Given the increasing role of HBCs in various health initiatives, targeted interventions are required to support and improve their competencies and service provision.

Levels of reconstruction as complementarity in mixed methods research: a social theory-based conceptual framework for integrating qualitative and quantitative research.

PubMed

Carroll, Linda J; Rothe, J Peter

2010-09-01

Like other areas of health research, there has been increasing use of qualitative methods to study public health problems such as injuries and injury prevention. Likewise, the integration of qualitative and quantitative research (mixed-methods) is beginning to assume a more prominent role in public health studies. Likewise, using mixed-methods has great potential for gaining a broad and comprehensive understanding of injuries and their prevention. However, qualitative and quantitative research methods are based on two inherently different paradigms, and their integration requires a conceptual framework that permits the unity of these two methods. We present a theory-driven framework for viewing qualitative and quantitative research, which enables us to integrate them in a conceptually sound and useful manner. This framework has its foundation within the philosophical concept of complementarity, as espoused in the physical and social sciences, and draws on Bergson's metaphysical work on the 'ways of knowing'. Through understanding how data are constructed and reconstructed, and the different levels of meaning that can be ascribed to qualitative and quantitative findings, we can use a mixed-methods approach to gain a conceptually sound, holistic knowledge about injury phenomena that will enhance our development of relevant and successful interventions.

Self-guided training for deep brain stimulation planning using objective assessment.

PubMed

Holden, Matthew S; Zhao, Yulong; Haegelen, Claire; Essert, Caroline; Fernandez-Vidal, Sara; Bardinet, Eric; Ungi, Tamas; Fichtinger, Gabor; Jannin, Pierre

2018-04-04

Deep brain stimulation (DBS) is an increasingly common treatment for neurodegenerative diseases. Neurosurgeons must have thorough procedural, anatomical, and functional knowledge to plan electrode trajectories and thus ensure treatment efficacy and patient safety. Developing this knowledge requires extensive training. We propose a training approach with objective assessment of neurosurgeon proficiency in DBS planning. To assess proficiency, we propose analyzing both the viability of the planned trajectory and the manner in which the operator arrived at the trajectory. To improve understanding, we suggest a self-guided training course for DBS planning using real-time feedback. To validate the proposed measures of proficiency and training course, two experts and six novices followed the training course, and we monitored their proficiency measures throughout. At baseline, experts planned higher quality trajectories and did so more efficiently. As novices progressed through the training course, their proficiency measures increased significantly, trending toward expert measures. We developed and validated measures which reliably discriminate proficiency levels. These measures are integrated into a training course, which quantitatively improves trainee performance. The proposed training course can be used to improve trainees' proficiency, and the quantitative measures allow trainees' progress to be monitored.

Management of complex knowledge in planning for sustainable development: The use of multi-criteria decision aids

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

Kain, Jaan-Henrik; Soederberg, Henriette

2008-01-15

The vision of sustainable development entails new and complex planning situations, confronting local policy makers with changing political conditions, different content in decision making and planning and new working methods. Moreover, the call for sustainable development has been a major driving force towards an increasingly multi-stakeholder planning system. This situation requires competence in working in, and managing, groups of actors, including not only experts and project owners but also other categories of stakeholders. Among other qualities, such competence requires a working strategy aimed at integrating various, and sometimes incommensurable, forms of knowledge to construct a relevant and valid knowledge basemore » prior to decision making. Consequently, there lies great potential in methods that facilitate the evaluation of strategies for infrastructural development across multiple knowledge areas, so-called multi-criteria decision aids (MCDAs). In the present article, observations from six case studies are discussed, where the common denominators are infrastructural planning, multi-stakeholder participation and the use of MCDAs as interactive decision support. Three MCDAs are discussed - NAIADE, SCA and STRAD - with an emphasis on how they function in their procedural context. Accordingly, this is not an analysis of MCDA algorithms, of software programming aspects or of MCDAs as context-independent 'decision machines'-the focus is on MCDAs as actor systems, not as expert systems. The analysis is carried out across four main themes: (a) symmetrical management of different forms of knowledge; (b) management of heterogeneity, pluralism and conflict; (c) functionality and ease of use; and (d) transparency and trust. It shows that STRAD, by far, seems to be the most useful MCDA in interactive settings. NAIADE and SCA are roughly equivalent but have their strengths and weaknesses in different areas. Moreover, it was found that some MCDA issues require further attention, i.e., regarding transparency and understandability; qualitative/quantitative knowledge input; switching between different modes of weighting; software flexibility; as well as graphic and user interfaces.« less

Quantitative endoscopy: initial accuracy measurements.

PubMed

Truitt, T O; Adelman, R A; Kelly, D H; Willging, J P

2000-02-01

The geometric optics of an endoscope can be used to determine the absolute size of an object in an endoscopic field without knowing the actual distance from the object. This study explores the accuracy of a technique that estimates absolute object size from endoscopic images. Quantitative endoscopy involves calibrating a rigid endoscope to produce size estimates from 2 images taken with a known traveled distance between the images. The heights of 12 samples, ranging in size from 0.78 to 11.80 mm, were estimated with this calibrated endoscope. Backup distances of 5 mm and 10 mm were used for comparison. The mean percent error for all estimated measurements when compared with the actual object sizes was 1.12%. The mean errors for 5-mm and 10-mm backup distances were 0.76% and 1.65%, respectively. The mean errors for objects <2 mm and > or =2 mm were 0.94% and 1.18%, respectively. Quantitative endoscopy estimates endoscopic image size to within 5% of the actual object size. This method remains promising for quantitatively evaluating object size from endoscopic images. It does not require knowledge of the absolute distance of the endoscope from the object, rather, only the distance traveled by the endoscope between images.

A Mixed Methods Approach to Determining the Impact of a Geoscience Field Research Program upon Science Teachers' Knowledge, Beliefs, and Instructional Practices

ERIC Educational Resources Information Center

Luera, Gail; Murray, Kent

2016-01-01

A mixed methods research approach was used to investigate the impact of a geosciences research institute upon 62 science teachers' knowledge, beliefs, and teaching practices related to teaching the geosciences. Pre- and postinstitute quantitative and qualitative assessments revealed mixed results. Results of a quantitative measure found a…

Corneal topography with high-speed swept source OCT in clinical examination

PubMed Central

Karnowski, Karol; Kaluzny, Bartlomiej J.; Szkulmowski, Maciej; Gora, Michalina; Wojtkowski, Maciej

2011-01-01

We present the applicability of high-speed swept source (SS) optical coherence tomography (OCT) for quantitative evaluation of the corneal topography. A high-speed OCT device of 108,000 lines/s permits dense 3D imaging of the anterior segment within a time period of less than one fourth of second, minimizing the influence of motion artifacts on final images and topographic analysis. The swept laser performance was specially adapted to meet imaging depth requirements. For the first time to our knowledge the results of a quantitative corneal analysis based on SS OCT for clinical pathologies such as keratoconus, a cornea with superficial postinfectious scar, and a cornea 5 months after penetrating keratoplasty are presented. Additionally, a comparison with widely used commercial systems, a Placido-based topographer and a Scheimpflug imaging-based topographer, is demonstrated. PMID:21991558

Multi-Intelligence Analytics for Next Generation Analysts (MIAGA)

NASA Astrophysics Data System (ADS)

Blasch, Erik; Waltz, Ed

2016-05-01

Current analysts are inundated with large volumes of data from which extraction, exploitation, and indexing are required. A future need for next-generation analysts is an appropriate balance between machine analytics from raw data and the ability of the user to interact with information through automation. Many quantitative intelligence tools and techniques have been developed which are examined towards matching analyst opportunities with recent technical trends such as big data, access to information, and visualization. The concepts and techniques summarized are derived from discussions with real analysts, documented trends of technical developments, and methods to engage future analysts with multiintelligence services. For example, qualitative techniques should be matched against physical, cognitive, and contextual quantitative analytics for intelligence reporting. Future trends include enabling knowledge search, collaborative situational sharing, and agile support for empirical decision-making and analytical reasoning.

[Application and Integration of Qualitative and Quantitative Research Methods in Intervention Studies in Rehabilitation Research].

PubMed

Wirtz, M A; Strohmer, J

2016-06-01

In order to develop and evaluate interventions in rehabilitation research a wide range of empirical research methods may be adopted. Qualitative research methods emphasize the relevance of an open research focus and a natural proximity to research objects. Accordingly, using qualitative methods special benefits may arise if researchers strive to identify and organize unknown information aspects (inductive purpose). Particularly, quantitative research methods require a high degree of standardization and transparency of the research process. Furthermore, a clear definition of efficacy and effectiveness exists (deductive purpose). These paradigmatic approaches are characterized by almost opposite key characteristics, application standards, purposes and quality criteria. Hence, specific aspects have to be regarded if researchers aim to select or combine those approaches in order to ensure an optimal gain in knowledge. © Georg Thieme Verlag KG Stuttgart · New York.

Grid workflow validation using ontology-based tacit knowledge: A case study for quantitative remote sensing applications

NASA Astrophysics Data System (ADS)

Liu, Jia; Liu, Longli; Xue, Yong; Dong, Jing; Hu, Yingcui; Hill, Richard; Guang, Jie; Li, Chi

2017-01-01

Workflow for remote sensing quantitative retrieval is the ;bridge; between Grid services and Grid-enabled application of remote sensing quantitative retrieval. Workflow averts low-level implementation details of the Grid and hence enables users to focus on higher levels of application. The workflow for remote sensing quantitative retrieval plays an important role in remote sensing Grid and Cloud computing services, which can support the modelling, construction and implementation of large-scale complicated applications of remote sensing science. The validation of workflow is important in order to support the large-scale sophisticated scientific computation processes with enhanced performance and to minimize potential waste of time and resources. To research the semantic correctness of user-defined workflows, in this paper, we propose a workflow validation method based on tacit knowledge research in the remote sensing domain. We first discuss the remote sensing model and metadata. Through detailed analysis, we then discuss the method of extracting the domain tacit knowledge and expressing the knowledge with ontology. Additionally, we construct the domain ontology with Protégé. Through our experimental study, we verify the validity of this method in two ways, namely data source consistency error validation and parameters matching error validation.

Measuring Knowledge Elaboration Based on a Computer-Assisted Knowledge Map Analytical Approach to Collaborative Learning

ERIC Educational Resources Information Center

Zheng, Lanqin; Huang, Ronghuai; Hwang, Gwo-Jen; Yang, Kaicheng

2015-01-01

The purpose of this study is to quantitatively measure the level of knowledge elaboration and explore the relationships between prior knowledge of a group, group performance, and knowledge elaboration in collaborative learning. Two experiments were conducted to investigate the level of knowledge elaboration. The collaborative learning objective in…

Results of Studying Astronomy Students’ Science Literacy, Quantitative Literacy, and Information Literacy

NASA Astrophysics Data System (ADS)

Buxner, Sanlyn; Impey, Chris David; Follette, Katherine B.; Dokter, Erin F.; McCarthy, Don; Vezino, Beau; Formanek, Martin; Romine, James M.; Brock, Laci; Neiberding, Megan; Prather, Edward E.

2017-01-01

Introductory astronomy courses often serve as terminal science courses for non-science majors and present an opportunity to assess non future scientists’ attitudes towards science as well as basic scientific knowledge and scientific analysis skills that may remain unchanged after college. Through a series of studies, we have been able to evaluate students’ basic science knowledge, attitudes towards science, quantitative literacy, and informational literacy. In the Fall of 2015, we conducted a case study of a single class administering all relevant surveys to an undergraduate class of 20 students. We will present our analysis of trends of each of these studies as well as the comparison case study. In general we have found that students basic scientific knowledge has remained stable over the past quarter century. In all of our studies, there is a strong relationship between student attitudes and their science and quantitative knowledge and skills. Additionally, students’ information literacy is strongly connected to their attitudes and basic scientific knowledge. We are currently expanding these studies to include new audiences and will discuss the implications of our findings for instructors.

Current–Voltage Characterization of Individual As-Grown Nanowires Using a Scanning Tunneling Microscope

PubMed Central

2013-01-01

Utilizing semiconductor nanowires for (opto)electronics requires exact knowledge of their current–voltage properties. We report accurate on-top imaging and I–V characterization of individual as-grown nanowires, using a subnanometer resolution scanning tunneling microscope with no need for additional microscopy tools, thus allowing versatile application. We form Ohmic contacts to InP and InAs nanowires without any sample processing, followed by quantitative measurements of diameter dependent I–V properties with a very small spread in measured values compared to standard techniques. PMID:24059470

Magic Angle Spinning NMR Metabolomics

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

Zhi Hu, Jian

Nuclear Magnetic Resonance (NMR) spectroscopy is a non-destructive, quantitative, reproducible, untargeted and unbiased method that requires no or minimal sample preparation, and is one of the leading analytical tools for metabonomics research [1-3]. The easy quantification and the no need of prior knowledge about compounds present in a sample associated with NMR are advantageous over other techniques [1,4]. 1H NMR is especially attractive because protons are present in virtually all metabolites and its NMR sensitivity is high, enabling the simultaneous identification and monitoring of a wide range of low molecular weight metabolites.

Current-voltage characterization of individual as-grown nanowires using a scanning tunneling microscope.

PubMed

Timm, Rainer; Persson, Olof; Engberg, David L J; Fian, Alexander; Webb, James L; Wallentin, Jesper; Jönsson, Andreas; Borgström, Magnus T; Samuelson, Lars; Mikkelsen, Anders

2013-11-13

Utilizing semiconductor nanowires for (opto)electronics requires exact knowledge of their current-voltage properties. We report accurate on-top imaging and I-V characterization of individual as-grown nanowires, using a subnanometer resolution scanning tunneling microscope with no need for additional microscopy tools, thus allowing versatile application. We form Ohmic contacts to InP and InAs nanowires without any sample processing, followed by quantitative measurements of diameter dependent I-V properties with a very small spread in measured values compared to standard techniques.

Profiles of inconsistent knowledge in children's pathways of conceptual change.

PubMed

Schneider, Michael; Hardy, Ilonca

2013-09-01

Conceptual change requires learners to restructure parts of their conceptual knowledge base. Prior research has identified the fragmentation and the integration of knowledge as 2 important component processes of knowledge restructuring but remains unclear as to their relative importance and the time of their occurrence during development. Previous studies mostly were based on the categorization of answers in interview studies and led to mixed empirical results, suggesting that methodological improvements might be helpful. We assessed 161 third-graders' knowledge about floating and sinking of objects in liquids at 3 measurement points by means of multiple-choice tests. The tests assessed how strongly the children agreed with commonly found but mutually incompatible statements about floating and sinking. A latent profile transition analysis of the test scores revealed 5 profiles, some of which indicated the coexistence of inconsistent pieces of knowledge in learners. The majority of students (63%) were on 1 of 7 developmental pathways between these profiles. Thus, a child's knowledge profile at a point in time can be used to predict further development. The degree of knowledge integration decreased on some individual developmental paths, increased on others, and remained stable on still others. The study demonstrates the usefulness of explicit quantitative models of conceptual change. The results support a constructivist perspective on conceptual development, in which developmental changes of a learner's knowledge base result from idiosyncratic, yet systematic knowledge-construction processes. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Knowledge of and attitudes towards electroconvulsive therapy (ECT) among psychiatrists and family physicians in Saudi Arabia.

PubMed

AlHadi, Ahmad N; AlShahrani, Fahad M; Alshaqrawi, Ali A; Sharefi, Mohanned A; Almousa, Saud M

2017-01-01

To assess the knowledge of and attitudes towards ECT among psychiatrists and family physicians in Saudi Arabia. The study is quantitative observational cross-sectional with a convenient sample that included psychiatrists and family physicians (including residents) in Saudi Arabia. Of the 434 questionnaires emailed, a total of 126 returned completed questionnaires (29% response rate). The mean age of respondents was 35 years old. Psychiatrists accounted for 68.3%. The majority were Saudis (95.2%) and male (70.6%). Around half were consultants and about two-thirds (62.7%) had worked in a facility that used ECT. Psychiatrists showed better knowledge than family physicians in their answers, with a mean total knowledge scoring of 8.12 (±1.25) out of 10 and 6.15 (±1.25), respectively ( P  < 0.0001). Among psychiatrists, 87% thought that ECT required general anesthesia, while 35% of family physicians believed so ( P  < 0.0001). Other items of ECT knowledge are discussed. Psychiatrists displayed a better attitude towards ECT than family physicians in all answers, with a mean score of 9.54 (±1.16) and 7.85 (±2.39), respectively ( P  < 0.0001). Psychiatrists scored better than family physicians in both knowledge and attitude regarding ECT.

The founding of ISOTT: the Shamattawa of engineering science and medical science.

PubMed

Bruley, Duane F

2014-01-01

The founding of ISOTT was based upon the blending of Medical and Engineering sciences. This occurrence is portrayed by the Shamattawa, the joining of the Chippewa and Flambeau rivers. Beginning with Carl Scheele's discovery of oxygen, the medical sciences advanced the knowledge of its importance to physiological phenomena. Meanwhile, engineering science was evolving as a mathematical discipline used to define systems quantitatively from basic principles. In particular, Adolf Fick's employment of a gradient led to the formalization of transport phenomena. These two rivers of knowledge were blended to found ISOTT at Clemson/Charleston, South Carolina, USA, in 1973.The establishment of our society with a mission to support the collaborative work of medical scientists, clinicians and all disciplines of engineering was a supporting step in the evolution of bioengineering. Traditional engineers typically worked in areas not requiring knowledge of biology or the life sciences. By encouraging collaboration between medical science and traditional engineering, our society became one of the forerunners in establishing bioengineering as the fifth traditional discipline of engineering.

Teacher Knowledge of Attention Deficit Hyperactivity Disorder among Middle School Students in South Texas

ERIC Educational Resources Information Center

Guerra, Fred R., Jr.; Brown, Michelle S.

2012-01-01

This quantitative study examined the knowledge levels middle school teachers in South Texas have in relation to attention deficit hyperactivity disorder (ADHD). The study specifically compared teacher knowledge levels among three specific ADHD knowledge areas: (a) general knowledge of ADHD, (b) knowledge of symptoms/diagnosis of ADHD, and (c)…

Applications of mixed-methods methodology in clinical pharmacy research.

PubMed

Hadi, Muhammad Abdul; Closs, S José

2016-06-01

Introduction Mixed-methods methodology, as the name suggests refers to mixing of elements of both qualitative and quantitative methodologies in a single study. In the past decade, mixed-methods methodology has gained popularity among healthcare researchers as it promises to bring together the strengths of both qualitative and quantitative approaches. Methodology A number of mixed-methods designs are available in the literature and the four most commonly used designs in healthcare research are: the convergent parallel design, the embedded design, the exploratory design, and the explanatory design. Each has its own unique advantages, challenges and procedures and selection of a particular design should be guided by the research question. Guidance on designing, conducting and reporting mixed-methods research is available in the literature, so it is advisable to adhere to this to ensure methodological rigour. When to use it is best suited when the research questions require: triangulating findings from different methodologies to explain a single phenomenon; clarifying the results of one method using another method; informing the design of one method based on the findings of another method, development of a scale/questionnaire and answering different research questions within a single study. Two case studies have been presented to illustrate possible applications of mixed-methods methodology. Limitations Possessing the necessary knowledge and skills to undertake qualitative and quantitative data collection, analysis, interpretation and integration remains the biggest challenge for researchers conducting mixed-methods studies. Sequential study designs are often time consuming, being in two (or more) phases whereas concurrent study designs may require more than one data collector to collect both qualitative and quantitative data at the same time.

Constrained energy minimization applied to apparent reflectance and single-scattering albedo spectra: a comparison

NASA Astrophysics Data System (ADS)

Resmini, Ronald G.; Graver, William R.; Kappus, Mary E.; Anderson, Mark E.

1996-11-01

Constrained energy minimization (CEM) has been applied to the mapping of the quantitative areal distribution of the mineral alunite in an approximately 1.8 km2 area of the Cuprite mining district, Nevada. CEM is a powerful technique for rapid quantitative mineral mapping which requires only the spectrum of the mineral to be mapped. A priori knowledge of background spectral signatures is not required. Our investigation applies CEM to calibrated radiance data converted to apparent reflectance (AR) and to single scattering albedo (SSA) spectra. The radiance data were acquired by the 210 channel, 0.4 micrometers to 2.5 micrometers airborne Hyperspectral Digital Imagery Collection Experiment sensor. CEM applied to AR spectra assumes linear mixing of the spectra of the materials exposed at the surface. This assumption is likely invalid as surface materials, which are often mixtures of particulates of different substances, are more properly modeled as intimate mixtures and thus spectral mixing analyses must take account of nonlinear effects. One technique for approximating nonlinear mixing requires the conversion of AR spectra to SSA spectra. The results of CEM applied to SSA spectra are compared to those of CEM applied to AR spectra. The occurrence of alunite is similar though not identical to mineral maps produced with both the SSA and AR spectra. Alunite is slightly more widespread based on processing with the SSA spectra. Further, fractional abundances derived from the SSA spectra are, in general, higher than those derived from AR spectra. Implications for the interpretation of quantitative mineral mapping with hyperspectral remote sensing data are discussed.

Parasitic Worms: Knowledge, Attitudes, and Practices in Western Côte d’Ivoire with Implications for Integrated Control

PubMed Central

Acka, Cinthia A.; Raso, Giovanna; N'Goran, Eliézer K.; Tschannen, Andres B.; Bogoch, Isaac I.; Séraphin, Essane; Tanner, Marcel; Obrist, Brigit; Utzinger, Jürg

2010-01-01

Background In the developing world where parasitic worm infections are pervasive, preventive chemotherapy is the key strategy for morbidity control. However, local knowledge, attitudes, and practices (KAP) of parasitic worms are poorly understood, although such information is required for prevention and sustainable control. Methods We carried out KAP surveys in two rural communities of Côte d'Ivoire that were subjected to school-based and community-based research and control activities. We used qualitative and quantitative methods. The former included observations, in-depth interviews with key informants, and focus group discussions with school children and adults. Quantitative methods consisted of a structured questionnaire administered to household heads. Principal Findings Access to clean water was lacking in both communities and only a quarter of the households had functioning latrines. There was a better understanding of soil-transmitted helminthiasis than intestinal schistosomiasis, but community-based rather than school-based interventions appeared to improve knowledge of schistosomiasis. In the villages with community-based interventions, three-quarters of household interviewees knew about intestinal schistosomiasis compared to 14% in the village where school-based interventions were implemented (P<0.001). Whereas two-thirds of respondents from the community-based intervention village indicated that the research and control project was the main source of information, only a quarter of the respondents cited the project as the main source. Conclusions/Significance Preventive chemotherapy targeting school-aged children has limitations, as older population segments are neglected, and hence lack knowledge about how to prevent and control parasitic worm infections. Improved access to clean water and sanitation is necessary, along with health education to make a durable impact against helminth infections. PMID:21200423

Preparing the NDE engineers of the future: Education, training, and diversity

NASA Astrophysics Data System (ADS)

Holland, Stephen D.

2017-02-01

As quantitative NDE has matured and entered the mainstream, it has created an industry need for engineers who can select, evaluate, and qualify NDE techniques to satisfy quantitative engineering requirements. NDE as a field is cross-disciplinary with major NDE techniques relying on a broad spectrum of physics disciplines including fluid mechanics, electromagnetics, mechanical waves, and high energy physics. An NDE engineer needs broad and deep understanding of the measurement physics across modalities, a general engineering background, and familiarity with shop-floor practices and tools. While there are a wide range of certification and training programs worldwide for NDE technicians, there are few programs aimed at engineers. At the same time, substantial demographic shifts are underway with many experienced NDE engineers and technicians nearing retirement, and with new generations coming from much more diverse backgrounds. There is a need for more and better education opportunities for NDE engineers. Both teaching and learning NDE engineering are inherently challenging because of the breadth and depth of knowledge required. At the same time, sustaining the field in a more diverse era will require broadening participation of previously underrepresented groups. The QNDE 2016 conference in Atlanta, GA included a session on NDE education, training, and diversity. This paper summarizes the outcomes and discussion from this session.

Level of confidence in venepuncture and knowledge in determining causes of blood sample haemolysis among clinical staff and phlebotomists.

PubMed

Makhumula-Nkhoma, Nellie; Whittaker, Vicki; McSherry, Robert

2015-02-01

To investigate the association between confidence level in venepuncture and knowledge in determining causes of blood sample haemolysis among clinical staff and phlebotomists. Various collection methods are used to perform venepuncture, also called phlebotomy, the act of drawing blood from a patient using a needle. The collection method used has an impact on preanalytical blood sample haemolysis. Haemolysis is the breakdown of red blood cells, which makes the sample unsuitable. Despite available evidence on the common causes, extensive literature search showed a lack of published evidence on the association of haemolysis with staff confidence and knowledge. A quantitative primary research design using survey method. A purposive sample of 290 clinical staff and phlebotomists conducting venepuncture in one North England hospital participated in this quantitative survey. A three-section web-based questionnaire comprising demographic profile, confidence and competence levels, and knowledge sections was used to collect data in 2012. The chi-squared test for independence was used to compare the distribution of responses for categorical data. anova was used to determine mean difference in the knowledge scores of staff with different confidence levels. Almost 25% clinical staff and phlebotomists participated in the survey. There was an increase in confidence at the last venepuncture among staff of all categories. While doctors' scores were higher compared with healthcare assistants', p ≤ 0·001, nurses' were of wide range and lowest. There was no statistically significant difference (at the 5% level) in the total knowledge scores and confidence level at the last venepuncture F(2,4·690) = 1·67, p = 0·31 among staff of all categories. Evidence-based measures are required to boost staff knowledge base of preanalytical blood sample haemolysis for standardised and quality service. Monitoring and evaluation of the training, conducting and monitoring haemolysis rate are equally crucial. Although the hospital is succeeding in providing regular training in venepuncture, this is only one aspect of quality. The process and outcome also need interventions. © 2014 John Wiley & Sons Ltd.

Community engagement: outcomes for occupational therapy students, faculty and clients.

PubMed

Schindler, Victoria P

2014-06-01

Students in health care professions, including occupational therapy, are required to develop knowledge, skills and attitudes in mental health and research. Persons diagnosed with a mental illness, a learning disability or an autism-spectrum disorder desire to achieve goals in higher education and employment. Faculty in health care programmes strives to meet professional goals and accreditation and institution requirements for teaching, service and scholarship. The Bridge Program, a programme based on principles of community engagement, was developed to meet the needs of these three stakeholders. The objective of this paper is to provide programme description and outcomes of the effectiveness of the Bridge Program for all three stakeholders. This uses mixed methods research design including descriptive and quantitative and qualitative one-group pre-test-post-test designs. Instruments consisted of the Occupational Therapy Student and Mental Health Population Scale and the Canadian Occupational Performance Measure. Quantitative results support that graduate occupational therapy students gained research and clinical skills (n = 100; p = .000); clients increased performance and satisfaction toward goals (n = 113; p = .000) and faculty (n = 1) achieved goals related to teaching, service and scholarship. Programmes based on principles of community engagement can address the needs of the community, can provide outcomes that advance knowledge about community practice and can result in benefits for all stakeholders. This paper is limited to generalization and instrumentation and recommends an ongoing evaluation of other community engagement programmes involving all stakeholders in the future research. Copyright © 2014 John Wiley & Sons, Ltd.

The number processing and calculation system: evidence from cognitive neuropsychology.

PubMed

Salguero-Alcañiz, M P; Alameda-Bailén, J R

2015-04-01

Cognitive neuropsychology focuses on the concepts of dissociation and double dissociation. The performance of number processing and calculation tasks by patients with acquired brain injury can be used to characterise the way in which the healthy cognitive system manipulates number symbols and quantities. The objective of this study is to determine the components of the numerical processing and calculation system. Participants consisted of 6 patients with acquired brain injuries in different cerebral localisations. We used Batería de evaluación del procesamiento numérico y el cálculo, a battery assessing number processing and calculation. Data was analysed using the difference in proportions test. Quantitative numerical knowledge is independent from number transcoding, qualitative numerical knowledge, and calculation. Recodification is independent from qualitative numerical knowledge and calculation. Quantitative numerical knowledge and calculation are also independent functions. The number processing and calculation system comprises at least 4 components that operate independently: quantitative numerical knowledge, number transcoding, qualitative numerical knowledge, and calculation. Therefore, each one may be damaged selectively without affecting the functioning of another. According to the main models of number processing and calculation, each component has different characteristics and cerebral localisations. Copyright © 2013 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

Reference condition approach to restoration planning

USGS Publications Warehouse

Nestler, J.M.; Theiling, C.H.; Lubinski, S.J.; Smith, D.L.

2010-01-01

Ecosystem restoration planning requires quantitative rigor to evaluate alternatives, define end states, report progress and perform environmental benefits analysis (EBA). Unfortunately, existing planning frameworks are, at best, semi-quantitative. In this paper, we: (1) describe a quantitative restoration planning approach based on a comprehensive, but simple mathematical framework that can be used to effectively apply knowledge and evaluate alternatives, (2) use the approach to derive a simple but precisely defined lexicon based on the reference condition concept and allied terms and (3) illustrate the approach with an example from the Upper Mississippi River System (UMRS) using hydrologic indicators. The approach supports the development of a scaleable restoration strategy that, in theory, can be expanded to ecosystem characteristics such as hydraulics, geomorphology, habitat and biodiversity. We identify three reference condition types, best achievable condition (A BAC), measured magnitude (MMi which can be determined at one or many times and places) and desired future condition (ADFC) that, when used with the mathematical framework, provide a complete system of accounts useful for goal-oriented system-level management and restoration. Published in 2010 by John Wiley & Sons, Ltd.

Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience.

PubMed

Matiasz, Nicholas J; Wood, Justin; Wang, Wei; Silva, Alcino J; Hsu, William

2017-01-01

Computers help neuroscientists to analyze experimental results by automating the application of statistics; however, computer-aided experiment planning is far less common, due to a lack of similar quantitative formalisms for systematically assessing evidence and uncertainty. While ontologies and other Semantic Web resources help neuroscientists to assimilate required domain knowledge, experiment planning requires not only ontological but also epistemological (e.g., methodological) information regarding how knowledge was obtained. Here, we outline how epistemological principles and graphical representations of causality can be used to formalize experiment planning toward causal discovery. We outline two complementary approaches to experiment planning: one that quantifies evidence per the principles of convergence and consistency, and another that quantifies uncertainty using logical representations of constraints on causal structure. These approaches operationalize experiment planning as the search for an experiment that either maximizes evidence or minimizes uncertainty. Despite work in laboratory automation, humans must still plan experiments and will likely continue to do so for some time. There is thus a great need for experiment-planning frameworks that are not only amenable to machine computation but also useful as aids in human reasoning.

Ecological issues related to ozone: agricultural issues.

PubMed

Fuhrer, Jürg; Booker, Fitzgerald

2003-06-01

Research on the effects of ozone on agricultural crops and agro-ecosystems is needed for the development of regional emission reduction strategies, to underpin practical recommendations aiming to increase the sustainability of agricultural land management in a changing environment, and to secure food supply in regions with rapidly growing populations. Major limitations in current knowledge exist in several areas: (1) Modelling of ozone transfer and specifically stomatal ozone uptake under variable environmental conditions, using robust and well-validated dynamic models that can be linked to large-scale photochemical models lack coverage. (2) Processes involved in the initial reactions of ozone with extracellular and cellular components after entry through the stomata, and identification of key chemical species and their role in detoxification require additional study. (3) Scaling the effects from the level of individual cells to the whole-plant requires, for instance, a better understanding of the effects of ozone on carbon transport within the plant. (4) Implications of long-term ozone effects on community and whole-ecosystem level processes, with an emphasis on crop quality, element cycling and carbon sequestration, and biodiversity of pastures and rangelands require renewed efforts. The UNECE Convention on Long Range Trans-boundary Air Pollution shows, for example, that policy decisions may require the use of integrated assessment models. These models depend on quantitative exposure-response information to link quantitative effects at each level of organization to an effective ozone dose (i.e., the balance between the rate of ozone uptake by the foliage and the rate of ozone detoxification). In order to be effective in a policy, or technological context, results from future research must be funnelled into an appropriate knowledge transfer scheme. This requires data synthesis, up-scaling, and spatial aggregation. At the research level, interactions must be considered between the effects of ozone and factors that are either directly manipulated by man through crop management, or indirectly changed. The latter include elevated atmospheric CO(2), particulate matter, other pollutants such as nitrogen oxides, UV-B radiation, climate and associated soil moisture conditions.

Development of quantitative screen for 1550 chemicals with GC-MS.

PubMed

Bergmann, Alan J; Points, Gary L; Scott, Richard P; Wilson, Glenn; Anderson, Kim A

2018-05-01

With hundreds of thousands of chemicals in the environment, effective monitoring requires high-throughput analytical techniques. This paper presents a quantitative screening method for 1550 chemicals based on statistical modeling of responses with identification and integration performed using deconvolution reporting software. The method was evaluated with representative environmental samples. We tested biological extracts, low-density polyethylene, and silicone passive sampling devices spiked with known concentrations of 196 representative chemicals. A multiple linear regression (R 2  = 0.80) was developed with molecular weight, logP, polar surface area, and fractional ion abundance to predict chemical responses within a factor of 2.5. Linearity beyond the calibration had R 2  > 0.97 for three orders of magnitude. Median limits of quantitation were estimated to be 201 pg/μL (1.9× standard deviation). The number of detected chemicals and the accuracy of quantitation were similar for environmental samples and standard solutions. To our knowledge, this is the most precise method for the largest number of semi-volatile organic chemicals lacking authentic standards. Accessible instrumentation and software make this method cost effective in quantifying a large, customizable list of chemicals. When paired with silicone wristband passive samplers, this quantitative screen will be very useful for epidemiology where binning of concentrations is common. Graphical abstract A multiple linear regression of chemical responses measured with GC-MS allowed quantitation of 1550 chemicals in samples such as silicone wristbands.

12 CFR 223.41 - What covered transactions are exempt from the quantitative limits and collateral requirements?

Code of Federal Regulations, 2010 CFR

2010-01-01

... quantitative limits and collateral requirements? 223.41 Section 223.41 Banks and Banking FEDERAL RESERVE SYSTEM... are exempt from the quantitative limits and collateral requirements? The following transactions are not subject to the quantitative limits of §§ 223.11 and 223.12 or the collateral requirements of § 223...

12 CFR 223.41 - What covered transactions are exempt from the quantitative limits and collateral requirements?

Code of Federal Regulations, 2013 CFR

2013-01-01

... quantitative limits and collateral requirements? 223.41 Section 223.41 Banks and Banking FEDERAL RESERVE SYSTEM... covered transactions are exempt from the quantitative limits and collateral requirements? The following transactions are not subject to the quantitative limits of §§ 223.11 and 223.12 or the collateral requirements...

12 CFR 223.41 - What covered transactions are exempt from the quantitative limits and collateral requirements?

Code of Federal Regulations, 2012 CFR

2012-01-01

... quantitative limits and collateral requirements? 223.41 Section 223.41 Banks and Banking FEDERAL RESERVE SYSTEM... are exempt from the quantitative limits and collateral requirements? The following transactions are not subject to the quantitative limits of §§ 223.11 and 223.12 or the collateral requirements of § 223...

12 CFR 223.41 - What covered transactions are exempt from the quantitative limits and collateral requirements?

Code of Federal Regulations, 2011 CFR

2011-01-01

... quantitative limits and collateral requirements? 223.41 Section 223.41 Banks and Banking FEDERAL RESERVE SYSTEM... are exempt from the quantitative limits and collateral requirements? The following transactions are not subject to the quantitative limits of §§ 223.11 and 223.12 or the collateral requirements of § 223...

12 CFR 223.41 - What covered transactions are exempt from the quantitative limits and collateral requirements?

Code of Federal Regulations, 2014 CFR

2014-01-01

... quantitative limits and collateral requirements? 223.41 Section 223.41 Banks and Banking FEDERAL RESERVE SYSTEM... covered transactions are exempt from the quantitative limits and collateral requirements? The following transactions are not subject to the quantitative limits of §§ 223.11 and 223.12 or the collateral requirements...

Evaluating the impact of an intensive education workshop on evidence-informed decision making knowledge, skills, and behaviours: a mixed methods study.

PubMed

Yost, Jennifer; Ciliska, Donna; Dobbins, Maureen

2014-01-17

Health professionals require a unique set of knowledge and skills in order to meet increasing expectations to use research evidence to inform practice and policy decisions. They need to be able to find, access, interpret, and apply the best available research evidence, along with information about patient preferences, clinical expertise, and the clinical context and resources, to such decisions. This study determined preferences for continuing education following an intensive educational workshop and evaluated the impact of the workshop on evidence informed decision making (EIDM) knowledge, skills, and behaviours. An explanatory mixed methods, longitudinal study design was implemented among a convenience sample of various health care professionals attending the workshop. EIDM knowledge, skills, and behaviours were quantitatively measured at baseline and six month follow-up, with EIDM knowledge and skills measured additionally immediately following the educational workshop (post-test measurement). To determine participants preferences for continuing education, data were collected using quantitative survey (post-test measurement) and qualitative (individual telephone interviews after six-month follow-up) methods. EIDM knowledge and skills increased significantly from baseline to immediately following the intervention [5.6, 95% CI (3.7, 7.4), P < 0.001] and from baseline to six-month follow-up [3.7, 95% CI (2.1, 5.3), P < 0.001], with a significant decrease from immediately following the intervention to six-month follow-up [-1.9, 95% CI (-3.5, -0.3), P 0.018]. EIDM behaviours increased, but not significantly, from baseline to six-month follow-up [1.7, 95% CI (-0.3, 3.8), P 0.095]. At baseline and six-month follow-up there was a weak, non-significant positive correlation between EIDM knowledge and skills and EIDM behaviours (r = 0.29, P 0.069 and r = 0.24, P 0.136, respectively). Over time there was a shift in preferences for timing and frequency of online continuing education strategies. Willingness to participate in continuing education, however, remained evident. An intensive educational workshop shows promise for increasing EIDM knowledge and skills. Increasing EIDM knowledge and skills may promote the capacity of health professionals to use research evidence when making practice and policy decisions and, in turn, lead to positive patient outcomes.

Performance Characteristics of qPCR Assays Targeting Human- and Ruminant-Associated Bacteroidetes for Microbial Source Tracking across Sixteen Countries on Six Continents

PubMed Central

2013-01-01

Numerous quantitative PCR assays for microbial fecal source tracking (MST) have been developed and evaluated in recent years. Widespread application has been hindered by a lack of knowledge regarding the geographical stability and hence applicability of such methods beyond the regional level. This study assessed the performance of five previously reported quantitative PCR assays targeting human-, cattle-, or ruminant-associated Bacteroidetes populations on 280 human and animal fecal samples from 16 countries across six continents. The tested cattle-associated markers were shown to be ruminant-associated. The quantitative distributions of marker concentrations in target and nontarget samples proved to be essential for the assessment of assay performance and were used to establish a new metric for quantitative source-specificity. In general, this study demonstrates that stable target populations required for marker-based MST occur around the globe. Ruminant-associated marker concentrations were strongly correlated with total intestinal Bacteroidetes populations and with each other, indicating that the detected ruminant-associated populations seem to be part of the intestinal core microbiome of ruminants worldwide. Consequently tested ruminant-targeted assays appear to be suitable quantitative MST tools beyond the regional level while the targeted human-associated populations seem to be less prevalent and stable, suggesting potential for improvements in human-targeted methods. PMID:23755882

The Quantitative Science of Evaluating Imaging Evidence.

PubMed

Genders, Tessa S S; Ferket, Bart S; Hunink, M G Myriam

2017-03-01

Cardiovascular diagnostic imaging tests are increasingly used in everyday clinical practice, but are often imperfect, just like any other diagnostic test. The performance of a cardiovascular diagnostic imaging test is usually expressed in terms of sensitivity and specificity compared with the reference standard (gold standard) for diagnosing the disease. However, evidence-based application of a diagnostic test also requires knowledge about the pre-test probability of disease, the benefit of making a correct diagnosis, the harm caused by false-positive imaging test results, and potential adverse effects of performing the test itself. To assist in clinical decision making regarding appropriate use of cardiovascular diagnostic imaging tests, we reviewed quantitative concepts related to diagnostic performance (e.g., sensitivity, specificity, predictive values, likelihood ratios), as well as possible biases and solutions in diagnostic performance studies, Bayesian principles, and the threshold approach to decision making. Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Prozone effect of serum IgE levels in a case of plasma cell leukemia.

PubMed

Talamo, Giampaolo; Castellani, William; Dolloff, Nathan G

2010-09-10

We describe a case of multiple myeloma (MM) and secondary plasma cell leukemia (PCL) secreting IgE-kappa immunoglobulin. To our knowledge, only 2 cases of IgE-producing secondary PCL have been reported in the medical literature. In our patient, the only tumor marker available for monitoring the therapeutic response to chemotherapy and allogeneic stem cell transplantation was the quantitative M component at serum protein electrophoresis (SPEP), because serum free light chains were in the normal range, Bence-Jones proteinuria was absent, and quantitative serum IgE levels provided inaccurate and erratic results, due to the prozone effect. This is a laboratory phenomenon that occurs when antigen excess interferes with antibody-based methods requiring immune complex formation for detection. It is important to recognize the presence of a prozone effect, because it can produce falsely normal results, and therefore it could lead clinicians to incorrect assessment of the response to therapy.

[Nutritional self-care promotion in community-dwelling older people: a protocol of mixed method research].

PubMed

Raffaele, Barbara; Matarese, Maria; Piredda, Michela; De Marinis, Maria Grazia

2016-01-01

To describe a research protocol designed to promote nutritional self-care in older people. The aims of the research are: a) to evaluate the effectiveness of a nutritional education intervention in changing knowledge, attitudes, and behaviors; b) to describe the nutritional self-care ability and activities; c) to identify the promoting factors and barriers that influence the changes in nutritional knowledge, behaviors and attitudes in home-dwelling older people. Sequential explanatory mixed method design. The study will enroll 50 people aged 65 years and over. In the first quantitative phase, a pre-test and post-test design will be used to deliver a nutritional intervention aimed to change knowledge, behaviors and attitudes toward nutrition. Using the quantitative study results, the qualitative study phase will be conducted by interviews in sub-groups of older people. In a third phase, the quantitative and qualitative study results will be integrated. Quantitative data will be analyzed using descriptive and inferential statistics and qualitative data will be analyzed through content analysis. The study will provide new knowledge on nutritional self-care in home-dwelling older adults and the factors promoting nutritional self-care. Nutritional self-care promotion is of pivotal importance for the nursing care provided to home-dwelling older people. Educational programs aimed at the maintenance of proper nutrition in the older adults may reduce malnutrition and the related diseases. Nutrition educational programs should be based on knowledge derived from research to tailor individualized nutritional interventions and to realize effective educational programs.

Investigating Information System Development, Behavior and Business Knowledge Impact on Project Success: Quantitative Analysis

ERIC Educational Resources Information Center

Skinner, Ann

2018-01-01

Resource-based theory provided the theoretical foundation to investigate the extent that developer knowledge correlated to success of information technology (IT) development projects. Literature indicated there was a knowledge gap in understanding whether developer information system development, behavior and business knowledge contributed to IT…

The Relationship between Agriculture Knowledge Bases for Teaching and Sources of Knowledge

ERIC Educational Resources Information Center

Rice, Amber H.; Kitchel, Tracy

2015-01-01

The purpose of this study was to describe the agriculture knowledge bases for teaching of agriculture teachers and to see if a relationship existed between years of teaching experience, sources of knowledge, and development of pedagogical content knowledge (PCK), using quantitative methods. A model of PCK from mathematics was utilized as a…

Applying Knowledge of Quantitative Design and Analysis

ERIC Educational Resources Information Center

Baskas, Richard S.

2011-01-01

This study compared and contrasted two quantitative scholarly articles in relation to their research designs. Their designs were analyzed by the comparison of research references and research specific vocabulary to describe how various research methods were used. When researching and analyzing quantitative scholarly articles, it is imperative to…

Synthesizing Quantitative Evidence for Evidence-based Nursing: Systematic Review.

PubMed

Oh, Eui Geum

2016-06-01

As evidence-based practice has become an important issue in healthcare settings, the educational needs for knowledge and skills for the generation and utilization of healthcare evidence are increasing. Systematic review (SR), a way of evidence generation, is a synthesis of primary scientific evidence, which summarizes the best evidence on a specific clinical question using a transparent, a priori protocol driven approach. SR methodology requires a critical appraisal of primary studies, data extraction in a reliable and repeatable way, and examination for validity of the results. SRs are considered hierarchically as the highest form of evidence as they are a systematic search, identification, and summarization of the available evidence to answer a focused clinical question with particular attention to the methodological quality of studies or the credibility of opinion and text. The purpose of this paper is to introduce an overview of the fundamental knowledge, principals and processes in SR. The focus of this paper is on SR especially for the synthesis of quantitative data from primary research studies that examines the effectiveness of healthcare interventions. To activate evidence-based nursing care in various healthcare settings, the best and available scientific evidence are essential components. This paper will include some examples to promote understandings. Copyright © 2016. Published by Elsevier B.V.

Towards an understanding of the link between environmental emissions and human body burdens of PCBs using CoZMoMAN.

PubMed

Breivik, Knut; Czub, Gertje; McLachlan, Michael S; Wania, Frank

2010-01-01

Different factors affect how organic contaminants released into the environment over time distribute and accumulate, enter various food-chains, and potentially cause toxic effects in wildlife and humans. A sound chemical risk assessment thus requires the determination of the quantitative relationship between emissions and human exposure. This study aimed to assess the extent of the quantitative and mechanistic understanding of the link between environmental emissions and human body burdens for polychlorinated biphenyls (PCBs) in the western part of the Baltic Sea drainage basin and to identify any remaining knowledge gaps. An integrated, non-steady state model calculating human body burden from environmental emissions (CoZMoMAN) was created by linking the multi-compartment environmental fate model CoZMo-POP 2 with the human food chain bioaccumulation model ACC-HUMAN. CoZMoMAN predicted concentrations of seven PCB congeners in 11 key model compartments to typically within a factor of 2 to 4 of measured values, although larger discrepancies are noted for soils and humans. We conclude that whereas the most important processes which link emissions of PCBs to human body burdens are quite well understood in this region, some critical knowledge gaps related to the time trend of historical emissions remain to be addressed.

Awareness and knowledge of National School Health Policy and School Health Programme among public secondary school teachers in Ibadan metropolis

PubMed Central

Obembe, Taiwo A.; Osungbade, Kayode O.; Ademokun, Oluwakemi M.

2016-01-01

Background: The awareness, knowledge, and involvement of teachers in the implementation of School Health Programme (SHP) in secondary schools are essential in ensuring the effectiveness and overall success of the School Health Policy. This study assessed the awareness and knowledge of teachers on SHP in Ibadan metropolis. Methods: A descriptive cross-sectional study was carried out using a two-stage sampling technique to select 426 secondary school teachers across all the five Urban Local Government Areas (LGAs) in Ibadan metropolis by balloting. Pretested semi-structured questionnaires were used to collect data from 426 teachers. Quantitative data were analyzed using descriptive statistics, Chi-square, and logistics regression tests at 5% level of significance. Results: About one-third of the respondents had heard of National School Health Policy (NSHP); however, few had seen the document. About half of the respondents were aware of the SHP in their schools. Many of the respondents had a good knowledge of SHP. Age and level of education of participants significantly influenced the knowledge of SHP. Above 50 years of age and postgraduate qualification were the significant predictors for the good knowledge of SHP. Conclusions: Awareness of the NSHP was low despite the good knowledge of SHP. This could be due to the tertiary education that most of the respondents had. Concerted efforts of stakeholders are required to intensify the health education awareness campaign to improve teachers’ knowledge based on NSHP. PMID:27630385

Midwives' perceptions and experiences of caring for women who experience perinatal mental health problems: An integrative review.

PubMed

Noonan, Maria; Doody, Owen; Jomeen, Julie; Galvin, Rose

2017-02-01

perinatal mental health is an important public health issue and consideration must be given to care provision for effective support and care of women in the perinatal period. to synthesise primary research on midwives' perceived role in Perinatal Mental Health (PMH). integrative review. Whittemore and Knafl's (2005) framework was employed. A systematic search of the literature was completed. Studies were included if they met the following criteria: primary qualitative, quantitative and mixed methods research studies published in peer reviewed journals between January 2006 to February 2016, where the population of interest were midwives and the outcomes of interest were their perceived role in the management of women with PMH problems. The methodological quality of studies was assessed using the relevant CASP (Critical Appraisal Skills Programmes, 2014) criteria for quantitative and qualitative research studies. Data extraction, quality assessment and thematic analysis were conducted. a total of 3323 articles were retrieved and 22 papers were included in the review (15 quantitative, 6 qualitative and one mixed method study). The quality of the studies included was good overall. Two overarching themes emerged relating to personal and professional engagement. Within personal engagement four sub themes are presented: knowledge, skills, decision making and attitude. Within professional engagement four themes are presented: continuous professional development, organisation of care, referral, and support. the findings indicate midwives require continuous professional development opportunities that address knowledge, attitudes to PMH, communication and assessment skills. However educational and training support in the absence of appropriate referral pathways and support systems will have little benefit. Copyright © 2016 Elsevier Ltd. All rights reserved.

Spontaneous Focusing on Quantitative Relations in the Development of Children's Fraction Knowledge

ERIC Educational Resources Information Center

McMullen, Jake; Hannula-Sormunen, Minna M.; Lehtinen, Erno

2014-01-01

While preschool-aged children display some skills with quantitative relations, later learning of related fraction concepts is difficult for many students. We present two studies that investigate young children's tendency of Spontaneous Focusing On quantitative Relations (SFOR), which may help explain individual differences in the development of…

Development and Measurement of Preschoolers' Quantitative Knowledge

ERIC Educational Resources Information Center

Geary, David C.

2015-01-01

The collection of studies in this special issue make an important contribution to our understanding and measurement of the core cognitive and noncognitive factors that influence children's emerging quantitative competencies. The studies also illustrate how the field has matured, from a time when the quantitative competencies of infants and young…

Phi optics: from image to knowledge (Conference Presentation)

NASA Astrophysics Data System (ADS)

Chiritescu, Catalin

2016-03-01

Optical microscopy of live cells and tissues provides the main insight for life science researchers in academia and bio-pharma. The cells have very small features, are transparent, and require long term observations (hours to days) to measure the effects of drugs and diseases. New technologies - under the umbrella term of Quantitative Phase Imaging (QPI) - have come to light in the past decade to challenge and complement the current state of the art solutions that use fluorophores. Phi Optics talk will outline their lessons learned in the process of bringing an academic idea to the commercial space.

Parental knowledge, attitudes and cultural beliefs regarding oral health and dental care of preschool children in an Indian population: a quantitative study.

PubMed

Chhabra, N; Chhabra, A

2012-04-01

Preschool children are dependent upon their parents for their dental care. The aim of this study was to assess the knowledge, attitude and beliefs of parents towards oral health and dental care of their children aged 1-4 years in an Indian population. Parents of 620 preschool children, who visited Krishna Dental College and Hospital, Ghaziabad, India for dental treatment were recruited into this study and completed a self administered questionnaire. It was revealed that the lack of knowledge and awareness of importance of the primary teeth, dental fear of the parents and the myths associated with dental treatment, created barriers to early preventive dental care of preschool children. The oral hygiene and feeding practices were found to be disappointing and the knowledge about the essential role of fluoride and transmission of Streptococcus mutans bacteria was found to be limited. The elders in the family, especially grandparents, highly influenced the decisions of the parents regarding dental treatment of their children. Parents' knowledge, attitudes and beliefs about the importance of dental health need to be improved. Coordinated efforts by paediatricians, paediatric dentists and other health professionals are required to impart dental health education about oral hygiene, feeding practices, importance of the primary dentition and to promote preventive dental programmes.

A Quantitative Investigation of ESL Teacher Knowledge in Australian Adult Education

ERIC Educational Resources Information Center

Yazdanpanah, Lilly K.

2015-01-01

English as a second language (ESL) teaching is partly a thinking process in which teacher knowledge plays a pivotal role in making instructional choices (Breen, Hird, Milton, Oliver, & Thwaite, 2001). The present study contributes to understandings of teacher knowledge by exploring the types of knowledge, which practicing teachers value in…

Primary School Student Teachers' Perceived and Actual Knowledge in Biology

ERIC Educational Resources Information Center

Eija, Yli-Panula; Eila, Jeronen; Pongsakdi, Nonmanut

2017-01-01

Individuals' perceptions of their knowledge can have an important role in shaping their cognition and influencing their behaviour. However, there has been a scarcity of studies in biology on how perceived knowledge relates to actual knowledge. The focus of this article is on quantitative results analysing and interpreting student teachers'…

Knowledge flow and exchange in interdisciplinary primary health care teams (PHCTs): an exploratory study

PubMed Central

Sibbald, Shannon L.; Wathen, C. Nadine; Kothari, Anita; Day, Adam M. B.

2013-01-01

Objective: Improving the process of evidence-based practice in primary health care requires an understanding of information exchange among colleagues. This study explored how clinically oriented research knowledge flows through multidisciplinary primary health care teams (PHCTs) and influences clinical decisions. Methods: This was an exploratory mixed-methods study with members of six PHCTs in Ontario, Canada. Quantitative data were collected using a questionnaire and analyzed with social network analysis (SNA) using UCINet. Qualitative data were collected using semi-structured interviews and analyzed with content analysis procedures using NVivo8. Results: It was found that obtaining research knowledge was perceived to be a shared responsibility among team members, whereas its application in patient care was seen as the responsibility of the team leader, usually the senior physician. PHCT members acknowledged the need for resources for information access, synthesis, interpretation, or management. Conclusion: Information sharing in interdisciplinary teams is a complex and multifaceted process. Specific interventions need to be improved such as formalizing modes of communication, better organizing knowledge-sharing activities, and improving the active use of allied health professionals. Despite movement toward team-based models, senior physicians are often gatekeepers of uptake of new evidence and changes in practice. PMID:23646028

Nuclear model calculations and their role in space radiation research

NASA Technical Reports Server (NTRS)

Townsend, L. W.; Cucinotta, F. A.; Heilbronn, L. H.

2002-01-01

Proper assessments of spacecraft shielding requirements and concomitant estimates of risk to spacecraft crews from energetic space radiation requires accurate, quantitative methods of characterizing the compositional changes in these radiation fields as they pass through thick absorbers. These quantitative methods are also needed for characterizing accelerator beams used in space radiobiology studies. Because of the impracticality/impossibility of measuring these altered radiation fields inside critical internal body organs of biological test specimens and humans, computational methods rather than direct measurements must be used. Since composition changes in the fields arise from nuclear interaction processes (elastic, inelastic and breakup), knowledge of the appropriate cross sections and spectra must be available. Experiments alone cannot provide the necessary cross section and secondary particle (neutron and charged particle) spectral data because of the large number of nuclear species and wide range of energies involved in space radiation research. Hence, nuclear models are needed. In this paper current methods of predicting total and absorption cross sections and secondary particle (neutrons and ions) yields and spectra for space radiation protection analyses are reviewed. Model shortcomings are discussed and future needs presented. c2002 COSPAR. Published by Elsevier Science Ltd. All right reserved.

12 CFR 223.42 - What covered transactions are exempt from the quantitative limits, collateral requirements, and...

Code of Federal Regulations, 2012 CFR

2012-01-01

... quantitative limits, collateral requirements, and low-quality asset prohibition? 223.42 Section 223.42 Banks... 23A § 223.42 What covered transactions are exempt from the quantitative limits, collateral requirements, and low-quality asset prohibition? The following transactions are not subject to the quantitative...

12 CFR 223.42 - What covered transactions are exempt from the quantitative limits, collateral requirements, and...

Code of Federal Regulations, 2011 CFR

2011-01-01

... quantitative limits, collateral requirements, and low-quality asset prohibition? 223.42 Section 223.42 Banks... 23A § 223.42 What covered transactions are exempt from the quantitative limits, collateral requirements, and low-quality asset prohibition? The following transactions are not subject to the quantitative...

12 CFR 223.42 - What covered transactions are exempt from the quantitative limits, collateral requirements, and...

Code of Federal Regulations, 2010 CFR

2010-01-01

... quantitative limits, collateral requirements, and low-quality asset prohibition? 223.42 Section 223.42 Banks... 23A § 223.42 What covered transactions are exempt from the quantitative limits, collateral requirements, and low-quality asset prohibition? The following transactions are not subject to the quantitative...

A Framework for Integrating Qualitative and Quantitative Data in Knowledge, Attitude, and Practice Studies: A Case Study of Pesticide Usage in Eastern Uganda

PubMed Central

Muleme, James; Kankya, Clovice; Ssempebwa, John C.; Mazeri, Stella; Muwonge, Adrian

2017-01-01

Knowledge, attitude, and practice (KAP) studies guide the implementation of public health interventions (PHIs), and they are important tools for political persuasion. The design and implementation of PHIs assumes a linear KAP relationship, i.e., an awareness campaign results in the desirable societal behavioral change. However, there is no robust framework for testing this relationship before and after PHIs. Here, we use qualitative and quantitative data on pesticide usage to test this linear relationship, identify associated context specific factors as well as assemble a framework that could be used to guide and evaluate PHIs. We used data from a cross-sectional mixed methods study on pesticide usage. Quantitative data were collected using a structured questionnaire from 167 households representing 1,002 individuals. Qualitative data were collected from key informants and focus group discussions. Quantitative and qualitative data analysis was done in R 3.2.0 as well as qualitative thematic analysis, respectively. Our framework shows that a KAP linear relationship only existed for households with a low knowledge score, suggesting that an awareness campaign would only be effective for ~37% of the households. Context specific socioeconomic factors explain why this relationship does not hold for households with high knowledge scores. These findings are essential for developing targeted cost-effective and sustainable interventions on pesticide usage and other PHIs with context specific modifications. PMID:29276703

A Framework for Integrating Qualitative and Quantitative Data in Knowledge, Attitude, and Practice Studies: A Case Study of Pesticide Usage in Eastern Uganda.

PubMed

Muleme, James; Kankya, Clovice; Ssempebwa, John C; Mazeri, Stella; Muwonge, Adrian

2017-01-01

Knowledge, attitude, and practice (KAP) studies guide the implementation of public health interventions (PHIs), and they are important tools for political persuasion. The design and implementation of PHIs assumes a linear KAP relationship, i.e., an awareness campaign results in the desirable societal behavioral change. However, there is no robust framework for testing this relationship before and after PHIs. Here, we use qualitative and quantitative data on pesticide usage to test this linear relationship, identify associated context specific factors as well as assemble a framework that could be used to guide and evaluate PHIs. We used data from a cross-sectional mixed methods study on pesticide usage. Quantitative data were collected using a structured questionnaire from 167 households representing 1,002 individuals. Qualitative data were collected from key informants and focus group discussions. Quantitative and qualitative data analysis was done in R 3.2.0 as well as qualitative thematic analysis, respectively. Our framework shows that a KAP linear relationship only existed for households with a low knowledge score, suggesting that an awareness campaign would only be effective for ~37% of the households. Context specific socioeconomic factors explain why this relationship does not hold for households with high knowledge scores. These findings are essential for developing targeted cost-effective and sustainable interventions on pesticide usage and other PHIs with context specific modifications.

Challenges in Developing Models Describing Complex Soil Systems

NASA Astrophysics Data System (ADS)

Simunek, J.; Jacques, D.

2014-12-01

Quantitative mechanistic models that consider basic physical, mechanical, chemical, and biological processes have the potential to be powerful tools to integrate our understanding of complex soil systems, and the soil science community has often called for models that would include a large number of these diverse processes. However, once attempts have been made to develop such models, the response from the community has not always been overwhelming, especially after it discovered that these models are consequently highly complex, requiring not only a large number of parameters, not all of which can be easily (or at all) measured and/or identified, and which are often associated with large uncertainties, but also requiring from their users deep knowledge of all/most of these implemented physical, mechanical, chemical and biological processes. Real, or perceived, complexity of these models then discourages users from using them even for relatively simple applications, for which they would be perfectly adequate. Due to the nonlinear nature and chemical/biological complexity of the soil systems, it is also virtually impossible to verify these types of models analytically, raising doubts about their applicability. Code inter-comparisons, which is then likely the most suitable method to assess code capabilities and model performance, requires existence of multiple models of similar/overlapping capabilities, which may not always exist. It is thus a challenge not only to developed models describing complex soil systems, but also to persuade the soil science community in using them. As a result, complex quantitative mechanistic models are still an underutilized tool in soil science research. We will demonstrate some of the challenges discussed above on our own efforts in developing quantitative mechanistic models (such as HP1/2) for complex soil systems.

Exploring new graduate nurse confidence in interprofessional collaboration: a mixed methods study.

PubMed

Pfaff, Kathryn A; Baxter, Pamela E; Jack, Susan M; Ploeg, Jenny

2014-08-01

Confidence is required for effective engagement in interprofessional collaboration. New graduate nurses often lack confidence in interprofessional interactions, and this may compromise the delivery of safe and effective healthcare. The overall objective of this study was to explore new graduate nurse confidence in interprofessional collaboration. An explanatory sequential mixed methods design was used. New graduate nurses from Ontario, Canada (N=514) completed a cross-sectional descriptive survey in 2012. The survey measured perceived confidence in interprofessional collaboration, and it included items that were proposed to have a relationship with new graduate nurse confidence in interprofessional collaboration. Follow-up qualitative telephone interviews were conducted with 16 new graduate nurses. The quantitative findings suggested that several factors have a positive relationship with new graduate nurse confidence in interprofessional collaboration: availability and accessibility of manager, availability and accessibility of educator, number of different disciplines worked with daily, number of team strategies, and satisfaction with team. The qualitative phase supported the quantitative findings and also provided new information about factors that facilitated and challenged new graduate nurse confidence when engaging in interprofessional collaboration. The facilitators were: experience, knowledge, respect, supportive relationships, and opportunities to collaborate. Challenges included: lack of experience, lack of knowledge, communication challenges, and balancing practice expectations. The overall findings relate to team and organizational support, and new graduate nurse development. Interventions that provide support for interprofessional collaboration at the team and organizational levels, and develop new graduate nurse knowledge and experiences regarding collaborative practice, are essential for enhancing new graduate nurse confidence in interprofessional collaboration. Copyright © 2014 Elsevier Ltd. All rights reserved.

ChloroKB: A Web Application for the Integration of Knowledge Related to Chloroplast Metabolic Network1[OPEN

PubMed Central

Gloaguen, Pauline; Alban, Claude; Ravanel, Stéphane; Seigneurin-Berny, Daphné; Matringe, Michel; Ferro, Myriam; Bruley, Christophe; Rolland, Norbert; Vandenbrouck, Yves

2017-01-01

Higher plants, as autotrophic organisms, are effective sources of molecules. They hold great promise for metabolic engineering, but the behavior of plant metabolism at the network level is still incompletely described. Although structural models (stoichiometry matrices) and pathway databases are extremely useful, they cannot describe the complexity of the metabolic context, and new tools are required to visually represent integrated biocurated knowledge for use by both humans and computers. Here, we describe ChloroKB, a Web application (http://chlorokb.fr/) for visual exploration and analysis of the Arabidopsis (Arabidopsis thaliana) metabolic network in the chloroplast and related cellular pathways. The network was manually reconstructed through extensive biocuration to provide transparent traceability of experimental data. Proteins and metabolites were placed in their biological context (spatial distribution within cells, connectivity in the network, participation in supramolecular complexes, and regulatory interactions) using CellDesigner software. The network contains 1,147 reviewed proteins (559 localized exclusively in plastids, 68 in at least one additional compartment, and 520 outside the plastid), 122 proteins awaiting biochemical/genetic characterization, and 228 proteins for which genes have not yet been identified. The visual presentation is intuitive and browsing is fluid, providing instant access to the graphical representation of integrated processes and to a wealth of refined qualitative and quantitative data. ChloroKB will be a significant support for structural and quantitative kinetic modeling, for biological reasoning, when comparing novel data with established knowledge, for computer analyses, and for educational purposes. ChloroKB will be enhanced by continuous updates following contributions from plant researchers. PMID:28442501

A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions.

PubMed

Abidi, Samina

2017-10-26

Clinical management of comorbidities is a challenge, especially in a clinical decision support setting, as it requires the safe and efficient reconciliation of multiple disease-specific clinical procedures to formulate a comorbid therapeutic plan that is both effective and safe for the patient. In this paper we pursue the integration of multiple disease-specific Clinical Practice Guidelines (CPG) in order to manage co-morbidities within a computerized Clinical Decision Support System (CDSS). We present a CPG integration framework-termed as COMET (Comorbidity Ontological Modeling & ExecuTion) that manifests a knowledge management approach to model, computerize and integrate multiple CPG to yield a comorbid CPG knowledge model that upon execution can provide evidence-based recommendations for handling comorbid patients. COMET exploits semantic web technologies to achieve (a) CPG knowledge synthesis to translate a paper-based CPG to disease-specific clinical pathways (CP) that include specialized co-morbidity management procedures based on input from domain experts; (b) CPG knowledge modeling to computerize the disease-specific CP using a Comorbidity CPG ontology; (c) CPG knowledge integration by aligning multiple ontologically-modeled CP to develop a unified comorbid CPG knowledge model; and (e) CPG knowledge execution using reasoning engines to derive CPG-mediated recommendations for managing patients with comorbidities. We present a web-accessible COMET CDSS that provides family physicians with CPG-mediated comorbidity decision support to manage Atrial Fibrillation and Chronic Heart Failure. We present our qualitative and quantitative analysis of the knowledge content and usability of COMET CDSS.

Ocean Research Priorities: Similarities and Differences among Scientists, Policymakers, and Fishermen in the United States

PubMed Central

Mason, Julia G.; Rudd, Murray A.; Crowder, Larry B.

2017-01-01

Abstract Understanding and solving complex ocean conservation problems requires cooperation not just among scientific disciplines but also across sectors. A recently published survey that probed research priorities of marine scientists, when provided to ocean stakeholders, revealed some agreement on priorities but also illuminated key differences. Ocean acidification, cumulative impacts, bycatch effects, and restoration effectiveness were in the top 10 priorities for scientists and stakeholder groups. Significant priority differences were that scientists favored research questions about ocean acidification and marine protected areas; policymakers prioritized questions about habitat restoration, bycatch, and precaution; and fisheries sector resource users called for the inclusion of local ecological knowledge in policymaking. These results quantitatively demonstrate how different stakeholder groups approach ocean issues and highlight the need to incorporate other types of knowledge in the codesign of solutions-oriented research, which may facilitate cross-sectoral collaboration. PMID:28533565

Accuracy and content of medical student midclerkship self-evaluations.

PubMed

Torres, Madeline B; Cochran, Amalia

2016-06-01

Midclerkship self-evaluations (MCSEs) require students to reflect on their knowledge, skills, and behaviors. We hypothesized that MCSEs would be consistent with supervisor midpoint evaluations during a surgical clerkship. MCSEs of 153 students who completed our surgery clerkship in 2 academic years were compared with supervisor midclerkship evaluations. The quantitative domains of the MCSE and supervisor evaluation were compared for accuracy. Identified areas of strengths and weakness were evaluated for thematic consistency. Student MCSE scoring was accurate across evaluated domains most of the time; when students were inaccurate, they tended to underrate themselves. Students and supervisors most often identified cognitive skills as areas for improvement and noncognitive skills predominated as student strengths. Medical students can accurately identify their strengths and weaknesses in the context of an MCSE. Based on these findings, knowledge acquisition and application by medical students in the clinical setting should be emphasized in undergraduate medical education. Copyright © 2016 Elsevier Inc. All rights reserved.

Ocean Research Priorities: Similarities and Differences among Scientists, Policymakers, and Fishermen in the United States.

PubMed

Mason, Julia G; Rudd, Murray A; Crowder, Larry B

2017-05-01

Understanding and solving complex ocean conservation problems requires cooperation not just among scientific disciplines but also across sectors. A recently published survey that probed research priorities of marine scientists, when provided to ocean stakeholders, revealed some agreement on priorities but also illuminated key differences. Ocean acidification, cumulative impacts, bycatch effects, and restoration effectiveness were in the top 10 priorities for scientists and stakeholder groups. Significant priority differences were that scientists favored research questions about ocean acidification and marine protected areas; policymakers prioritized questions about habitat restoration, bycatch, and precaution; and fisheries sector resource users called for the inclusion of local ecological knowledge in policymaking. These results quantitatively demonstrate how different stakeholder groups approach ocean issues and highlight the need to incorporate other types of knowledge in the codesign of solutions-oriented research, which may facilitate cross-sectoral collaboration.

Multiscale Systems Analysis of Root Growth and Development: Modeling Beyond the Network and Cellular Scales

PubMed Central

Band, Leah R.; Fozard, John A.; Godin, Christophe; Jensen, Oliver E.; Pridmore, Tony; Bennett, Malcolm J.; King, John R.

2012-01-01

Over recent decades, we have gained detailed knowledge of many processes involved in root growth and development. However, with this knowledge come increasing complexity and an increasing need for mechanistic modeling to understand how those individual processes interact. One major challenge is in relating genotypes to phenotypes, requiring us to move beyond the network and cellular scales, to use multiscale modeling to predict emergent dynamics at the tissue and organ levels. In this review, we highlight recent developments in multiscale modeling, illustrating how these are generating new mechanistic insights into the regulation of root growth and development. We consider how these models are motivating new biological data analysis and explore directions for future research. This modeling progress will be crucial as we move from a qualitative to an increasingly quantitative understanding of root biology, generating predictive tools that accelerate the development of improved crop varieties. PMID:23110897

Chemistry Teachers' Knowledge and Application of Models

ERIC Educational Resources Information Center

Wang, Zuhao; Chi, Shaohui; Hu, Kaiyan; Chen, Wenting

2014-01-01

Teachers' knowledge and application of model play an important role in students' development of modeling ability and scientific literacy. In this study, we investigated Chinese chemistry teachers' knowledge and application of models. Data were collected through test questionnaire and analyzed quantitatively and qualitatively. The result indicated…

Refining the quantitative pathway of the Pathways to Mathematics model.

PubMed

Sowinski, Carla; LeFevre, Jo-Anne; Skwarchuk, Sheri-Lynn; Kamawar, Deepthi; Bisanz, Jeffrey; Smith-Chant, Brenda

2015-03-01

In the current study, we adopted the Pathways to Mathematics model of LeFevre et al. (2010). In this model, there are three cognitive domains--labeled as the quantitative, linguistic, and working memory pathways--that make unique contributions to children's mathematical development. We attempted to refine the quantitative pathway by combining children's (N=141 in Grades 2 and 3) subitizing, counting, and symbolic magnitude comparison skills using principal components analysis. The quantitative pathway was examined in relation to dependent numerical measures (backward counting, arithmetic fluency, calculation, and number system knowledge) and a dependent reading measure, while simultaneously accounting for linguistic and working memory skills. Analyses controlled for processing speed, parental education, and gender. We hypothesized that the quantitative, linguistic, and working memory pathways would account for unique variance in the numerical outcomes; this was the case for backward counting and arithmetic fluency. However, only the quantitative and linguistic pathways (not working memory) accounted for unique variance in calculation and number system knowledge. Not surprisingly, only the linguistic pathway accounted for unique variance in the reading measure. These findings suggest that the relative contributions of quantitative, linguistic, and working memory skills vary depending on the specific cognitive task. Copyright © 2014 Elsevier Inc. All rights reserved.

Developing and Evaluating a Paper-and-Pencil Test to Assess Components of Physics Teachers' Pedagogical Content Knowledge

ERIC Educational Resources Information Center

Kirschner, Sophie; Borowski, Andreas; Fischer, Hans E.; Gess-Newsome, Julie; von Aufschnaiter, Claudia

2016-01-01

Teachers' professional knowledge is assumed to be a key variable for effective teaching. As teacher education has the goal to enhance professional knowledge of current and future teachers, this knowledge should be described and assessed. Nevertheless, only a limited number of studies quantitatively measures physics teachers' professional…

Interplay of Secondary Pre-Service Teacher Content Knowledge (CK), Pedagogical Content Knowledge (PCK) and Attitudes Regarding Scientific Inquiry Teaching within Teacher Training

ERIC Educational Resources Information Center

Smit, Robbert; Weitzel, Holger; Blank, Robert; Rietz, Florian; Tardent, Josiane; Robin, Nicolas

2017-01-01

Background: Beginning teachers encounter several constraints with respect to scientific inquiry. Depending on their prior beliefs, knowledge and understanding, these constraints affect their teaching of inquiry. Purpose: To investigate quantitatively the longitudinal relationship between pre-service teachers' knowledge and attitudes on scientific…

Social and natural sciences differ in their research strategies, adapted to work for different knowledge landscapes.

PubMed

Jaffe, Klaus

2014-01-01

Do different fields of knowledge require different research strategies? A numerical model exploring different virtual knowledge landscapes, revealed two diverging optimal search strategies. Trend following is maximized when the popularity of new discoveries determine the number of individuals researching it. This strategy works best when many researchers explore few large areas of knowledge. In contrast, individuals or small groups of researchers are better in discovering small bits of information in dispersed knowledge landscapes. Bibliometric data of scientific publications showed a continuous bipolar distribution of these strategies, ranging from natural sciences, with highly cited publications in journals containing a large number of articles, to the social sciences, with rarely cited publications in many journals containing a small number of articles. The natural sciences seem to adapt their research strategies to landscapes with large concentrated knowledge clusters, whereas social sciences seem to have adapted to search in landscapes with many small isolated knowledge clusters. Similar bipolar distributions were obtained when comparing levels of insularity estimated by indicators of international collaboration and levels of country-self citations: researchers in academic areas with many journals such as social sciences, arts and humanities, were the most isolated, and that was true in different regions of the world. The work shows that quantitative measures estimating differences between academic disciplines improve our understanding of different research strategies, eventually helping interdisciplinary research and may be also help improve science policies worldwide.

Computational physiology and the Physiome Project.

PubMed

Crampin, Edmund J; Halstead, Matthew; Hunter, Peter; Nielsen, Poul; Noble, Denis; Smith, Nicolas; Tawhai, Merryn

2004-01-01

Bioengineering analyses of physiological systems use the computational solution of physical conservation laws on anatomically detailed geometric models to understand the physiological function of intact organs in terms of the properties and behaviour of the cells and tissues within the organ. By linking behaviour in a quantitative, mathematically defined sense across multiple scales of biological organization--from proteins to cells, tissues, organs and organ systems--these methods have the potential to link patient-specific knowledge at the two ends of these spatial scales. A genetic profile linked to cardiac ion channel mutations, for example, can be interpreted in relation to body surface ECG measurements via a mathematical model of the heart and torso, which includes the spatial distribution of cardiac ion channels throughout the myocardium and the individual kinetics for each of the approximately 50 types of ion channel, exchanger or pump known to be present in the heart. Similarly, linking molecular defects such as mutations of chloride ion channels in lung epithelial cells to the integrated function of the intact lung requires models that include the detailed anatomy of the lungs, the physics of air flow, blood flow and gas exchange, together with the large deformation mechanics of breathing. Organizing this large body of knowledge into a coherent framework for modelling requires the development of ontologies, markup languages for encoding models, and web-accessible distributed databases. In this article we review the state of the field at all the relevant levels, and the tools that are being developed to tackle such complexity. Integrative physiology is central to the interpretation of genomic and proteomic data, and is becoming a highly quantitative, computer-intensive discipline.

The role of simulation in mixed-methods research: a framework & application to patient safety.

PubMed

Guise, Jeanne-Marie; Hansen, Matthew; Lambert, William; O'Brien, Kerth

2017-05-04

Research in patient safety is an important area of health services research and is a national priority. It is challenging to investigate rare occurrences, explore potential causes, and account for the complex, dynamic context of healthcare - yet all are required in patient safety research. Simulation technologies have become widely accepted as education and clinical tools, but have yet to become a standard tool for research. We developed a framework for research that integrates accepted patient safety models with mixed-methods research approaches and describe the performance of the framework in a working example of a large National Institutes of Health (NIH)-funded R01 investigation. This worked example of a framework in action, identifies the strengths and limitations of qualitative and quantitative research approaches commonly used in health services research. Each approach builds essential layers of knowledge. We describe how the use of simulation ties these layers of knowledge together and adds new and unique dimensions of knowledge. A mixed-methods research approach that includes simulation provides a broad multi-dimensional approach to health services and patient safety research.

Informing Environmental Water Management Decisions: Using Conditional Probability Networks to Address the Information Needs of Planning and Implementation Cycles.

PubMed

Horne, Avril C; Szemis, Joanna M; Webb, J Angus; Kaur, Simranjit; Stewardson, Michael J; Bond, Nick; Nathan, Rory

2018-03-01

One important aspect of adaptive management is the clear and transparent documentation of hypotheses, together with the use of predictive models (complete with any assumptions) to test those hypotheses. Documentation of such models can improve the ability to learn from management decisions and supports dialog between stakeholders. A key challenge is how best to represent the existing scientific knowledge to support decision-making. Such challenges are currently emerging in the field of environmental water management in Australia, where managers are required to prioritize the delivery of environmental water on an annual basis, using a transparent and evidence-based decision framework. We argue that the development of models of ecological responses to environmental water use needs to support both the planning and implementation cycles of adaptive management. Here we demonstrate an approach based on the use of Conditional Probability Networks to translate existing ecological knowledge into quantitative models that include temporal dynamics to support adaptive environmental flow management. It equally extends to other applications where knowledge is incomplete, but decisions must still be made.

The plant cell wall integrity maintenance mechanism--a case study of a cell wall plasma membrane signaling network.

PubMed

Hamann, Thorsten

2015-04-01

Some of the most important functions of plant cell walls are protection against biotic/abiotic stress and structural support during growth and development. A prerequisite for plant cell walls to perform these functions is the ability to perceive different types of stimuli in both qualitative and quantitative manners and initiate appropriate responses. The responses in turn involve adaptive changes in cellular and cell wall metabolism leading to modifications in the structures originally required for perception. While our knowledge about the underlying plant mechanisms is limited, results from Saccharomyces cerevisiae suggest the cell wall integrity maintenance mechanism represents an excellent example to illustrate how the molecular mechanisms responsible for stimulus perception, signal transduction and integration can function. Here I will review the available knowledge about the yeast cell wall integrity maintenance system for illustration purposes, summarize the limited knowledge available about the corresponding plant mechanism and discuss the relevance of the plant cell wall integrity maintenance mechanism in biotic stress responses. Copyright © 2014 Elsevier Ltd. All rights reserved.

Informing Environmental Water Management Decisions: Using Conditional Probability Networks to Address the Information Needs of Planning and Implementation Cycles

NASA Astrophysics Data System (ADS)

Horne, Avril C.; Szemis, Joanna M.; Webb, J. Angus; Kaur, Simranjit; Stewardson, Michael J.; Bond, Nick; Nathan, Rory

2018-03-01

One important aspect of adaptive management is the clear and transparent documentation of hypotheses, together with the use of predictive models (complete with any assumptions) to test those hypotheses. Documentation of such models can improve the ability to learn from management decisions and supports dialog between stakeholders. A key challenge is how best to represent the existing scientific knowledge to support decision-making. Such challenges are currently emerging in the field of environmental water management in Australia, where managers are required to prioritize the delivery of environmental water on an annual basis, using a transparent and evidence-based decision framework. We argue that the development of models of ecological responses to environmental water use needs to support both the planning and implementation cycles of adaptive management. Here we demonstrate an approach based on the use of Conditional Probability Networks to translate existing ecological knowledge into quantitative models that include temporal dynamics to support adaptive environmental flow management. It equally extends to other applications where knowledge is incomplete, but decisions must still be made.

Knowledge and beliefs of Malaysian adolescents regarding cancer.

PubMed

Al-Naggar, Redhwan Ahmed; Jillson, Irene Anne; Abu-Hamad, Samir; Mumford, William; Bobryshev, Yuri V

2015-01-01

Few studies have explored the knowledge and attitudes of adolescents toward cancer prevention and treatment. This lack of research and its potential utility in the development of new educational initiatives and screening methods, or the reconstruction of existing ones, provided the impetus for this study. The primary research aim was to assess secondary school student knowledge of cancer and determine whether or not they possessed basic knowledge of cancer symptoms, risk factors, and treatments and to determine the relationship between cancer knowledge and key demographic factors. The Management and Science University conducted a cross-sectional study analyzing responses through cross-tabulation with the socio-demographic data collected. The findings of our quantitative analysis suggest that Malaysian youth generally possess a moderate knowledge about cancer. Quantitative analyses found that socioeconomic inequalities and bias in education present as important factors contributing to cancer awareness, prevention, and treatment among Malaysian adolescents. The findings indicate that Malaysian youth generally possess a moderate knowledge about cancer but the current deficiencies in initiatives directed to cancer awareness continue to hinder the improvement in prevention of cancer among Malaysian adolescents.

The Impact of Situation-Based Learning to Students’ Quantitative Literacy

NASA Astrophysics Data System (ADS)

Latifah, T.; Cahya, E.; Suhendra

2017-09-01

Nowadays, the usage of quantities can be seen almost everywhere. There has been an increase of quantitative thinking, such as quantitative reasoning and quantitative literacy, within the context of daily life. However, many people today are still not fully equipped with the knowledge of quantitative thinking. There are still a lot of individuals not having enough quantitative skills to perform well within today’s society. Based on this issue, the research aims to improve students’ quantitative literacy in junior high school. The qualitative analysis of written student work and video observations during the experiment reveal that the impact of situation-based learning affects students’ quantitative literacy.

Elementary Teachers' Mathematical Knowledge for Teaching Prerequisite Algebra Concepts

ERIC Educational Resources Information Center

Welder, Rachael M.; Simonsen, Linda M.

2011-01-01

The current study investigated the effects of an undergraduate mathematics content course for pre-service elementary teachers. The participants' content knowledge was quantitatively measured using an instrument comprised of items from the Mathematical Knowledge for Teaching Measures (Hill, Schilling, & Ball, 2004). Using a one-group…

Pre-Service Teachers' Perception toward Environmental Knowledge, Attitudes and Behaviours

ERIC Educational Resources Information Center

Borhan, Mohamad Termizi; Ismail, Zurida

2011-01-01

Purpose: The study investigated the environmental knowledge, attitudes and behaviours exhibited by the pre-service teachers and determined if there was any significant relationship between environmental knowledge, attitudes and behaviours. Method: This descriptive study adopted a quantitative approach using questionnaires to obtain information on…

Exploring EFL Teachers' CALL Knowledge and Competencies: In-Service Program Perspectives

ERIC Educational Resources Information Center

Liu, Mei-Hui; Kleinsasser, Robert C.

2015-01-01

This article describes quantitative and qualitative data providing perspectives on how six English as a Foreign Language (EFL) vocational high school teachers perceived CALL knowledge and competencies in a yearlong technology-enriched professional development program. The teachers' developing technological pedagogical content knowledge (TPACK) and…

Qualitative and quantitative reasoning about thermodynamics

NASA Technical Reports Server (NTRS)

Skorstad, Gordon; Forbus, Ken

1989-01-01

One goal of qualitative physics is to capture the tacit knowledge of engineers and scientists. It is shown how Qualitative Process theory can be used to express concepts of engineering thermodynamics. In particular, it is shown how to integrate qualitative and quantitative knowledge to solve textbook problems involving thermodynamic cycles, such as gas turbine plants and steam power plants. These ideas were implemented in a program called SCHISM. Its analysis of a sample textbook problem is described and plans for future work are discussed.

12 CFR 223.42 - What covered transactions are exempt from the quantitative limits, collateral requirements, and...

Code of Federal Regulations, 2014 CFR

2014-01-01

... quantitative limits, collateral requirements, and low-quality asset prohibition? 223.42 Section 223.42 Banks... Provisions of Section 23A § 223.42 What covered transactions are exempt from the quantitative limits... quantitative limits of §§ 223.11 and 223.12, the collateral requirements of § 223.14, or the prohibition on the...

12 CFR 223.42 - What covered transactions are exempt from the quantitative limits, collateral requirements, and...

Code of Federal Regulations, 2013 CFR

2013-01-01

... quantitative limits, collateral requirements, and low-quality asset prohibition? 223.42 Section 223.42 Banks... Provisions of Section 23A § 223.42 What covered transactions are exempt from the quantitative limits... quantitative limits of §§ 223.11 and 223.12, the collateral requirements of § 223.14, or the prohibition on the...

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

NASA Astrophysics Data System (ADS)

Rawlusyk, Kevin James

Test items used to assess learners' knowledge on high-stakes science examinations contain contextualized questions that unintentionally assess reading skill along with conceptual knowledge. Therefore, students who are not proficient readers are unable to comprehend the text within the test item to demonstrate effectively their level of science knowledge. The purpose of this quantitative study was to understand what reading attributes were required to successfully answer the Biology 30 Diploma Exam. Furthermore, the research sought to understand the cognitive relationships among the reading attributes through quantitative analysis structured by the Attribute Hierarchy Model (AHM). The research consisted of two phases: (1) Cognitive development, where the cognitive attributes of the Biology 30 Exam were specified and hierarchy structures were developed; and (2) Psychometric analysis, that statistically tested the attribute hierarchy using the Hierarchy Consistency Index (HCI), and calculate attribute probabilities. Phase one of the research used January 2011, Biology 30 Diploma Exam, while phase two accessed archival data for the 9985 examinees who took the assessment on January 24th, 2011. Phase one identified ten specific reading attributes, of which five were identified as unique subsets of vocabulary, two were identified as reading visual representations, and three corresponded to general reading skills. Four hierarchical cognitive model were proposed then analyzed using the HCI as a mechanism to explain the relationship among the attributes. Model A had the highest HCI value (0.337), indicating an overall poor data fit, yet for the top achieving examinees the model had an excellent model fit with an HCI value of 0.888, and for examinees that scored over 60% there was a moderate model fit (HCI = 0.592). Linear regressions of the attribute probability estimates suggest that there is a cognitive relationship among six of the ten reading attributes (R2 = 0.958 and 0.922). The results conclude that the Biology 30 Diploma Exam requires examinee to understand specific reading attributes to answer test items successfully. Knowing the specific reading attributes associated with the Biology 30 Diploma Exam allows for teachers and test developers to better assess learners and to be aware that there are other cognitive processes that influence test results other than the examinees science knowledge.

Integrated Environmental Modeling: Quantitative Microbial Risk Assessment

EPA Science Inventory

The presentation discusses the need for microbial assessments and presents a road map associated with quantitative microbial risk assessments, through an integrated environmental modeling approach. A brief introduction and the strengths of the current knowledge are illustrated. W...

The Academic Knowledge Management Model of Small Schools in Thailand

ERIC Educational Resources Information Center

Tumtuma, Chamnan; Chantarasombat, Chalard; Yeamsang, Theerawat

2015-01-01

The Academic Knowledge Management Model of Small Schools in Thailand was created by research and development. The quantitative and qualitative data were collected via the following steps: a participatory workshop meeting, the formation of a team according to knowledge base, field study, brainstorming, group discussion, activities carried out…

Knowledge Discovery in Textual Documentation: Qualitative and Quantitative Analyses.

ERIC Educational Resources Information Center

Loh, Stanley; De Oliveira, Jose Palazzo M.; Gastal, Fabio Leite

2001-01-01

Presents an application of knowledge discovery in texts (KDT) concerning medical records of a psychiatric hospital. The approach helps physicians to extract knowledge about patients and diseases that may be used for epidemiological studies, for training professionals, and to support physicians to diagnose and evaluate diseases. (Author/AEF)

Knowledge Hiding in Academia: Is Personality a Key Factor?

ERIC Educational Resources Information Center

Demirkasimoglu, Nihan

2016-01-01

The purpose of this paper was to analyze the knowledge hiding types of academicians and its relationship between personality traits. It was designed as a quantitative study. Data was gathered from 386 research assistants and assistant professors from Turkish universities. Knowledge hiding scale developed by Connelly, Zweig, Webster and Trougakos…

Developing Librarians as Teachers: A Study of Their Pedagogical Knowledge

ERIC Educational Resources Information Center

Bewick, Laura; Corrall, Sheila

2010-01-01

The widespread involvement of librarians in information literacy education has raised concerns about their development as teachers, but there is little research on their acquisition and application of pedagogical knowledge. A questionnaire was used to collect mainly quantitative data about the teaching roles, pedagogical knowledge and professional…

Changing Knowledge and the Academic Profession in Portugal

ERIC Educational Resources Information Center

Santiago, Rui; Carvalho, Teresa; Ferreira, Andreia

2015-01-01

The paper analyses the Portuguese academics' perceptions about changes in their research activities and modes of knowledge production. Quantitative data gathered from an on-line national survey have been used to develop this analysis. Results reveal that the majority of academics declared that they were not involved in knowledge and technology…

A Quantitative Analysis of Arkansas Principals' Knowledge of School Law

ERIC Educational Resources Information Center

Smith, Christy Lack

2010-01-01

The purpose of the study was to quantify the legal knowledge of Arkansas public school principals in seven areas: Arkansas law, constitutional issues, discipline, employee relations, federal law, special education/504, and tort liability and determine if significant relationships existed between legal knowledge recency of school law training,…

Knowledge Strategies for Enhancing School Learning Capacity

ERIC Educational Resources Information Center

Cheng, Eric

2012-01-01

Purpose: The purpose of this paper is to identify the knowledge strategies applied in aided secondary schools in Hong Kong and to explore the predictive relationship between knowledge strategies and school learning capacity. Design/methodology/approach: A cross-sectional quantitative survey was designed to collect data from 427 teachers at 15…

Towards a Deeper Assessment of Vocabulary Knowledge.

ERIC Educational Resources Information Center

Read, John

While interest in second language vocabulary knowledge has increased, vocabulary testing remains largely confined to the quantitative measurement of discrete items. More qualitative measures are needed to assess how well particular words are known. Research has characterized word knowledge in two ways: as a set of components or aspects, and as an…

Quantitative analysis of the protein corona on FePt nanoparticles formed by transferrin binding

PubMed Central

Jiang, Xiue; Weise, Stefan; Hafner, Margit; Röcker, Carlheinz; Zhang, Feng; Parak, Wolfgang J.; Nienhaus, G. Ulrich

2010-01-01

Nanoparticles are finding a rapidly expanding range of applications in research and technology, finally entering our daily life in medical, cosmetic or food products. Their ability to invade all regions of an organism including cells and cellular organelles offers new strategies for medical diagnosis and therapy (nanomedicine), but their safe use requires a deep knowledge about their interactions with biological systems at the molecular level. Upon incorporation, nanoparticles are exposed to biological fluids from which they adsorb proteins and other biomolecules to form a ‘protein corona’. These nanoparticle–protein interactions are still poorly understood and quantitative studies to characterize them remain scarce. Here we have quantitatively analysed the adsorption of human transferrin onto small (radius approx. 5 nm) polymer-coated FePt nanoparticles by using fluorescence correlation spectroscopy. Transferrin binds to the negatively charged nanoparticles with an affinity of approximately 26 µM in a cooperative fashion and forms a monolayer with a thickness of 7 nm. By using confocal fluorescence microscopy, we have observed that the uptake of FePt nanoparticles by HeLa cells is suppressed by the protein corona compared with the bare nanoparticles. PMID:19776149

Formalization of the engineering science discipline - knowledge engineering

NASA Astrophysics Data System (ADS)

Peng, Xiao

Knowledge is the most precious ingredient facilitating aerospace engineering research and product development activities. Currently, the most common knowledge retention methods are paper-based documents, such as reports, books and journals. However, those media have innate weaknesses. For example, four generations of flying wing aircraft (Horten, Northrop XB-35/YB-49, Boeing BWB and many others) were mostly developed in isolation. The subsequent engineers were not aware of the previous developments, because these projects were documented such which prevented the next generation of engineers to benefit from the previous lessons learned. In this manner, inefficient knowledge retention methods have become a primary obstacle for knowledge transfer from the experienced to the next generation of engineers. In addition, the quality of knowledge itself is a vital criterion; thus, an accurate measure of the quality of 'knowledge' is required. Although qualitative knowledge evaluation criteria have been researched in other disciplines, such as the AAA criterion by Ernest Sosa stemming from the field of philosophy, a quantitative knowledge evaluation criterion needs to be developed which is capable to numerically determine the qualities of knowledge for aerospace engineering research and product development activities. To provide engineers with a high-quality knowledge management tool, the engineering science discipline Knowledge Engineering has been formalized to systematically address knowledge retention issues. This research undertaking formalizes Knowledge Engineering as follows: 1. Categorize knowledge according to its formats and representations for the first time, which serves as the foundation for the subsequent knowledge management function development. 2. Develop an efficiency evaluation criterion for knowledge management by analyzing the characteristics of both knowledge and the parties involved in the knowledge management processes. 3. Propose and develop an innovative Knowledge-Based System (KBS), AVD KBS, forming a systematic approach facilitating knowledge management. 4. Demonstrate the efficiency advantages of AVDKBS over traditional knowledge management methods via selected design case studies. This research formalizes, for the first time, Knowledge Engineering as a distinct discipline by delivering a robust and high-quality knowledge management and process tool, AVDKBS. Formalizing knowledge proves to significantly impact the effectiveness of aerospace knowledge retention and utilization.

Extraction efficiency and implications for absolute quantitation of propranolol in mouse brain, liver and kidney thin tissue sections using droplet-based liquid microjunction surface sampling-HPLC ESI-MS/MS

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

Kertesz, Vilmos; Weiskittel, Taylor M.; Vavek, Marissa

Currently, absolute quantitation aspects of droplet-based surface sampling for thin tissue analysis using a fully automated autosampler/HPLC-ESI-MS/MS system are not fully evaluated. Knowledge of extraction efficiency and its reproducibility is required to judge the potential of the method for absolute quantitation of analytes from thin tissue sections. Methods: Adjacent thin tissue sections of propranolol dosed mouse brain (10- μm-thick), kidney (10- μm-thick) and liver (8-, 10-, 16- and 24- μm-thick) were obtained. Absolute concentration of propranolol was determined in tissue punches from serial sections using standard bulk tissue extraction protocols and subsequent HPLC separations and tandem mass spectrometric analysis. Thesemore » values were used to determine propranolol extraction efficiency from the tissues with the droplet-based surface sampling approach. Results: Extraction efficiency of propranolol using 10- μm-thick brain, kidney and liver thin tissues using droplet-based surface sampling varied between ~45-63%. Extraction efficiency decreased from ~65% to ~36% with liver thickness increasing from 8 μm to 24 μm. Randomly selecting half of the samples as standards, precision and accuracy of propranolol concentrations obtained for the other half of samples as quality control metrics were determined. Resulting precision ( ±15%) and accuracy ( ±3%) values, respectively, were within acceptable limits. In conclusion, comparative quantitation of adjacent mouse thin tissue sections of different organs and of various thicknesses by droplet-based surface sampling and by bulk extraction of tissue punches showed that extraction efficiency was incomplete using the former method, and that it depended on the organ and tissue thickness. However, once extraction efficiency was determined and applied, the droplet-based approach provided the required quantitation accuracy and precision for assay validations. Furthermore, this means that once the extraction efficiency was calibrated for a given tissue type and drug, the droplet-based approach provides a non-labor intensive and high-throughput means to acquire spatially resolved quantitative analysis of multiple samples of the same type.« less

Extraction efficiency and implications for absolute quantitation of propranolol in mouse brain, liver and kidney thin tissue sections using droplet-based liquid microjunction surface sampling-HPLC ESI-MS/MS

DOE PAGES

Kertesz, Vilmos; Weiskittel, Taylor M.; Vavek, Marissa; ...

2016-06-22

Currently, absolute quantitation aspects of droplet-based surface sampling for thin tissue analysis using a fully automated autosampler/HPLC-ESI-MS/MS system are not fully evaluated. Knowledge of extraction efficiency and its reproducibility is required to judge the potential of the method for absolute quantitation of analytes from thin tissue sections. Methods: Adjacent thin tissue sections of propranolol dosed mouse brain (10- μm-thick), kidney (10- μm-thick) and liver (8-, 10-, 16- and 24- μm-thick) were obtained. Absolute concentration of propranolol was determined in tissue punches from serial sections using standard bulk tissue extraction protocols and subsequent HPLC separations and tandem mass spectrometric analysis. Thesemore » values were used to determine propranolol extraction efficiency from the tissues with the droplet-based surface sampling approach. Results: Extraction efficiency of propranolol using 10- μm-thick brain, kidney and liver thin tissues using droplet-based surface sampling varied between ~45-63%. Extraction efficiency decreased from ~65% to ~36% with liver thickness increasing from 8 μm to 24 μm. Randomly selecting half of the samples as standards, precision and accuracy of propranolol concentrations obtained for the other half of samples as quality control metrics were determined. Resulting precision ( ±15%) and accuracy ( ±3%) values, respectively, were within acceptable limits. In conclusion, comparative quantitation of adjacent mouse thin tissue sections of different organs and of various thicknesses by droplet-based surface sampling and by bulk extraction of tissue punches showed that extraction efficiency was incomplete using the former method, and that it depended on the organ and tissue thickness. However, once extraction efficiency was determined and applied, the droplet-based approach provided the required quantitation accuracy and precision for assay validations. Furthermore, this means that once the extraction efficiency was calibrated for a given tissue type and drug, the droplet-based approach provides a non-labor intensive and high-throughput means to acquire spatially resolved quantitative analysis of multiple samples of the same type.« less

Alcohol Production, Prevention Strategies, and Inmate Knowledge About the Risk for Botulism From Pruno Consumption in a Correctional Facility—Arizona, 2013

PubMed Central

Adams, Laura E.; Yasmin, Seema; Briggs, Graham; Redden, Kore; Silvas, Suzanne; Anderson, Shoana; Weiss, Joli; Tsang, Clarisse A.; Henke, Evan; Francies, Jessica; Herrick, Kristen; Lira, Rosa; Livar, Eugene; Thompson, Gerald; Sunenshine, Rebecca; Robinson, Byron F.; Bisgard, Kristine M.; Komatsu, Kenneth K.

2017-01-01

During July to November 2012, two botulism outbreaks (12 cases total) occurred in one all-male prison; both were associated with illicitly brewed alcohol (pruno) consumption. Inmate surveys were conducted to evaluate and develop prevention and education strategies. Qualitative surveys with open-ended questions were performed among inmates from rooms where outbreaks occurred to learn about pruno consumption. Quantitative surveys assessed knowledge gained after the outbreaks and preferred information sources. For the quantitative surveys, 250 inmates were randomly selected by bed from across the correctional facility and 164 inmates were interviewed. Only 24% of inmates reported any botulism knowledge before the outbreaks and education outreach, whereas 73% reported knowledge after the outbreaks (p < .01). Preferred information sources included handouts/fliers (52%) and the prison television channel (32%). PMID:26285594

Exploring dangerous neighborhoods: Latent Semantic Analysis and computing beyond the bounds of the familiar

PubMed Central

Cohen, Trevor; Blatter, Brett; Patel, Vimla

2005-01-01

Certain applications require computer systems to approximate intended human meaning. This is achievable in constrained domains with a finite number of concepts. Areas such as psychiatry, however, draw on concepts from the world-at-large. A knowledge structure with broad scope is required to comprehend such domains. Latent Semantic Analysis (LSA) is an unsupervised corpus-based statistical method that derives quantitative estimates of the similarity between words and documents from their contextual usage statistics. The aim of this research was to evaluate the ability of LSA to derive meaningful associations between concepts relevant to the assessment of dangerousness in psychiatry. An expert reference model of dangerousness was used to guide the construction of a relevant corpus. Derived associations between words in the corpus were evaluated qualitatively. A similarity-based scoring function was used to assign dangerousness categories to discharge summaries. LSA was shown to derive intuitive relationships between concepts and correlated significantly better than random with human categorization of psychiatric discharge summaries according to dangerousness. The use of LSA to derive a simulated knowledge structure can extend the scope of computer systems beyond the boundaries of constrained conceptual domains. PMID:16779020

Investigation of the external flow analysis for density measurements at high altitude

NASA Technical Reports Server (NTRS)

Bienkowski, G. K.

1984-01-01

The results of analysis performed on the external flow around the shuttle orbiter nose regions at the Shuttle Upper Atmosphere Mass Spectrometer (SUMS) inlet orifice are presented. The purpose of the analysis is to quantitatively characterize the flow conditions to facilitate SUMS flight data reduction and subsequent determination of orbiter aerodynamic force coefficients in the hypersonic rarefied flow regime. Experimental determination of aerodynamic force coefficients requires accurate simultaneous measurement of forces (or acceleration) and dynamic pressure along with independent knowledge of density and velocity. The SUMS provides independent measurement of dynamic pressure; however, it does so indirectly and requires knowledge of the relationship between measured orifice conditions and the dynamic pressure which can only be determined on the basis of molecule or theory for a winged configuration. Monte Carlo direct simulation computer codes were developed for both the flow field solution at the orifice and for the internal orifice flow. These codes were used to study issues associated with geometric modeling of the orbiter nose geometry and the modeling of intermolecular collisions including rotational energy exchange and a preliminary analysis of vibrational excitation and dissociation effects. Data obtained from preliminary simulation runs are presented.

Implementation of evidence on the nurse-patient relationship in psychiatric wards through a mixed method design: study protocol.

PubMed

Moreno-Poyato, Antonio R; Delgado-Hito, Pilar; Suárez-Pérez, Raquel; Leyva-Moral, Juan M; Aceña-Domínguez, Rosa; Carreras-Salvador, Regina; Roldán-Merino, Juan F; Lluch-Canut, Teresa; Montesó-Curto, Pilar

2017-01-01

Psychiatric nurses are aware of the importance of the therapeutic relationship in psychiatric units. Nevertheless, a review of the scientific evidence indicates that theoretical knowledge alone is insufficient to establish an adequate therapeutic alliance. Therefore, strategies are required to promote changes to enhance the establishment of the working relationship. The aims of the study are to generate changes in how nurses establish the therapeutic relationship in acute psychiatric units, based on participative action research and to evaluate the effectiveness of the implementation of evidence through this method. The study will use a mixed method design. Qualitative methodology, through participative action research, will be employed to implement scientific evidence on the therapeutic relationship. A quasi-experimental, one-group, pre-test/post-test design will also be used to quantitatively measure the effectiveness of the implementation of the evidence. Participants will consist of nurses and patients from two psychiatric units in Barcelona. Nurses will be selected by theoretical sampling, and patients assigned to each nurses will be selected by consecutive sampling. Qualitative data will be gathered through discussion groups and field diaries. Quantitative data will be collected through the Working Alliance Inventory and the Interpersonal Reactivity Index. Qualitative data will be analysed through the technique of content analysis and quantitative data through descriptive and inferential statistics. This study will help to understand the process of change in a nursing team working in an inpatient psychiatric ward and will allow nurses to generate knowledge, identify difficulties, and establish strategies to implement change, as well as to assess whether the quality of the care they provide shows a qualitative improvement.

A Computational Model of Liver Iron Metabolism

PubMed Central

Mitchell, Simon; Mendes, Pedro

2013-01-01

Iron is essential for all known life due to its redox properties; however, these same properties can also lead to its toxicity in overload through the production of reactive oxygen species. Robust systemic and cellular control are required to maintain safe levels of iron, and the liver seems to be where this regulation is mainly located. Iron misregulation is implicated in many diseases, and as our understanding of iron metabolism improves, the list of iron-related disorders grows. Recent developments have resulted in greater knowledge of the fate of iron in the body and have led to a detailed map of its metabolism; however, a quantitative understanding at the systems level of how its components interact to produce tight regulation remains elusive. A mechanistic computational model of human liver iron metabolism, which includes the core regulatory components, is presented here. It was constructed based on known mechanisms of regulation and on their kinetic properties, obtained from several publications. The model was then quantitatively validated by comparing its results with previously published physiological data, and it is able to reproduce multiple experimental findings. A time course simulation following an oral dose of iron was compared to a clinical time course study and the simulation was found to recreate the dynamics and time scale of the systems response to iron challenge. A disease state simulation of haemochromatosis was created by altering a single reaction parameter that mimics a human haemochromatosis gene (HFE) mutation. The simulation provides a quantitative understanding of the liver iron overload that arises in this disease. This model supports and supplements understanding of the role of the liver as an iron sensor and provides a framework for further modelling, including simulations to identify valuable drug targets and design of experiments to improve further our knowledge of this system. PMID:24244122

Quantitative photoacoustic microscopy of optical absorption coefficients from acoustic spectra in the optical diffusive regime

NASA Astrophysics Data System (ADS)

Guo, Zijian; Favazza, Christopher; Garcia-Uribe, Alejandro; Wang, Lihong V.

2012-06-01

Photoacoustic (PA) microscopy (PAM) can image optical absorption contrast with ultrasonic spatial resolution in the optical diffusive regime. Conventionally, accurate quantification in PAM requires knowledge of the optical fluence attenuation, acoustic pressure attenuation, and detection bandwidth. We circumvent this requirement by quantifying the optical absorption coefficients from the acoustic spectra of PA signals acquired at multiple optical wavelengths. With the acoustic spectral method, the absorption coefficients of an oxygenated bovine blood phantom at 560, 565, 570, and 575 nm were quantified with errors of <3%. We also quantified the total hemoglobin concentration and hemoglobin oxygen saturation in a live mouse. Compared with the conventional amplitude method, the acoustic spectral method provides greater quantification accuracy in the optical diffusive regime. The limitations of the acoustic spectral method was also discussed.

Quantitative photoacoustic microscopy of optical absorption coefficients from acoustic spectra in the optical diffusive regime

PubMed Central

Guo, Zijian; Favazza, Christopher; Garcia-Uribe, Alejandro

2012-01-01

Abstract. Photoacoustic (PA) microscopy (PAM) can image optical absorption contrast with ultrasonic spatial resolution in the optical diffusive regime. Conventionally, accurate quantification in PAM requires knowledge of the optical fluence attenuation, acoustic pressure attenuation, and detection bandwidth. We circumvent this requirement by quantifying the optical absorption coefficients from the acoustic spectra of PA signals acquired at multiple optical wavelengths. With the acoustic spectral method, the absorption coefficients of an oxygenated bovine blood phantom at 560, 565, 570, and 575 nm were quantified with errors of <3%. We also quantified the total hemoglobin concentration and hemoglobin oxygen saturation in a live mouse. Compared with the conventional amplitude method, the acoustic spectral method provides greater quantification accuracy in the optical diffusive regime. The limitations of the acoustic spectral method was also discussed. PMID:22734767

Quantitative photoacoustic microscopy of optical absorption coefficients from acoustic spectra in the optical diffusive regime.

PubMed

Guo, Zijian; Favazza, Christopher; Garcia-Uribe, Alejandro; Wang, Lihong V

2012-06-01

Photoacoustic (PA) microscopy (PAM) can image optical absorption contrast with ultrasonic spatial resolution in the optical diffusive regime. Conventionally, accurate quantification in PAM requires knowledge of the optical fluence attenuation, acoustic pressure attenuation, and detection bandwidth. We circumvent this requirement by quantifying the optical absorption coefficients from the acoustic spectra of PA signals acquired at multiple optical wavelengths. With the acoustic spectral method, the absorption coefficients of an oxygenated bovine blood phantom at 560, 565, 570, and 575 nm were quantified with errors of <3%. We also quantified the total hemoglobin concentration and hemoglobin oxygen saturation in a live mouse. Compared with the conventional amplitude method, the acoustic spectral method provides greater quantification accuracy in the optical diffusive regime. The limitations of the acoustic spectral method was also discussed.

Factors influencing household participation in solid waste management (Case study: Waste Bank Malang)

NASA Astrophysics Data System (ADS)

Maryati, S.; Arifiani, N. F.; Humaira, A. N. S.; Putri, H. T.

2018-03-01

Solid waste management is very important measure in order to reduce the amount of waste. One of solid waste management form in Indonesia is waste banks. This kind of solid waste management required high level of participation of the community. The objective of this study is to explore factors influencing household participation in waste banks. Waste bank in Malang City (WBM) was selected as case study. Questionnaires distribution and investigation in WBM were conducted to identify problems of participation. Quantitative analysis was used to analyze the data. The research reveals that education, income, and knowledge about WBM have relationship with participation in WBM.

State of the art in bile analysis in forensic toxicology.

PubMed

Bévalot, F; Cartiser, N; Bottinelli, C; Guitton, J; Fanton, L

2016-02-01

In forensic toxicology, alternative matrices to blood are useful in case of limited, unavailable or unusable blood sample, suspected postmortem redistribution or long drug intake-to-sampling interval. The present article provides an update on the state of knowledge for the use of bile in forensic toxicology, through a review of the Medline literature from 1970 to May 2015. Bile physiology and technical aspects of analysis (sampling, storage, sample preparation and analytical methods) are reported, to highlight specificities and consequences from an analytical and interpretative point of view. A table summarizes cause of death and quantification in bile and blood of 133 compounds from more than 200 case reports, providing a useful tool for forensic physicians and toxicologists involved in interpreting bile analysis. Qualitative and quantitative interpretation is discussed. As bile/blood concentration ratios are high for numerous molecules or metabolites, bile is a matrix of choice for screening when blood concentrations are low or non-detectable: e.g., cases of weak exposure or long intake-to-death interval. Quantitative applications have been little investigated, but small molecules with low bile/blood concentration ratios seem to be good candidates for quantitative bile-based interpretation. Further experimental data on the mechanism and properties of biliary extraction of xenobiotics of forensic interest are required to improve quantitative interpretation. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Annealing characteristics of irradiated hydrogenated amorphous silicon solar cells

NASA Technical Reports Server (NTRS)

Payson, J. S.; Abdulaziz, S.; Li, Y.; Woodyard, J. R.

1991-01-01

It was shown that 1 MeV proton irradiation with fluences of 1.25E14 and 1.25E15/sq cm reduces the normalized I(sub SC) of a-Si:H solar cell. Solar cells recently fabricated showed superior radiation tolerance compared with cells fabricated four years ago; the improvement is probably due to the fact that the new cells are thinner and fabricated from improved materials. Room temperature annealing was observed for the first time in both new and old cells. New cells anneal at a faster rate than old cells for the same fluence. From the annealing work it is apparent that there are at least two types of defects and/or annealing mechanisms. One cell had improved I-V characteristics following irradiation as compared to the virgin cell. The work shows that the photothermal deflection spectroscopy (PDS) and annealing measurements may be used to predict the qualitative behavior of a-Si:H solar cells. It was anticipated that the modeling work will quantitatively link thin film measurements with solar cell properties. Quantitative predictions of the operation of a-Si:H solar cells in a space environment will require a knowledge of the defect creation mechanisms, defect structures, role of defects on degradation, and defect passivation and annealing mechanisms. The engineering data and knowledge base for justifying space flight testing of a-Si:H alloy based solar cells is being developed.

Strategies facilitating practice change in pediatric cancer: a systematic review.

PubMed

Robinson, Paula D; Dupuis, Lee L; Tomlinson, George; Phillips, Bob; Greenberg, Mark; Sung, Lillian

2016-09-01

By conducting a systematic review, we describe strategies to actively disseminate knowledge or facilitate practice change among healthcare providers caring for children with cancer and we evaluate the effectiveness of these strategies. We searched Ovid Medline, EMBASE and PsychINFO. Fully published primary studies were included if they evaluated one or more professional intervention strategies to actively disseminate knowledge or facilitate practice change in pediatric cancer or hematopoietic stem cell transplantation. Data extracted included study characteristics and strategies evaluated. In studies with a quantitative analysis of patient outcomes, the relationship between study-level characteristics and statistically significant primary analyses was evaluated. Of 20 644 titles and abstracts screened, 146 studies were retrieved in full and 60 were included. In 20 studies, quantitative evaluation of patient outcomes was examined and a primary outcome was stated. Eighteen studies were 'before and after' design; there were no randomized studies. All studies were at risk for bias. Interrupted time series was never the primary analytic approach. No specific strategy type was successful at improving patient outcomes. Literature describing strategies to facilitate practice change in pediatric cancer is emerging. However, major methodological limitations exist. Studies with robust designs are required to identify effective strategies to effect practice change. © The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

TIES for Dummies 3rd Edition (Technology Identification, Evaluation, and Selection) Basic how to's to implement the TIES method

NASA Technical Reports Server (NTRS)

Kirby, Michelle R.

2002-01-01

The TIES method is a forecasting environment whereby the decision-maker has the ability to easily assess and trade-off the impact of various technologies without sophisticated and time-consuming mathematical formulations. TIES provides a methodical approach where technically feasible alternatives can be identified with accuracy and speed to reduce design cycle time, and subsequently, life cycle costs, and was achieved through the use of various probabilistic methods, such as Response Surface Methodology and Monte Carlo Simulations. Furthermore, structured and systematic techniques are utilized from other fields to identify possible concepts and evaluation criteria by which comparisons can be made. This objective is achieved by employing the use of Morphological Matrices and Multi-Attribute Decision Making techniques. Through the execution of each step, a family of design alternatives for a given set of customer requirements can be identified and assessed subjectively or objectively. This methodology allows for more information (knowledge) to be brought into the earlier phases of the design process and will have direct implications on the affordability of the system. The increased knowledge allows for optimum allocation of company resources and quantitative justification for program decisions. Finally, the TIES method provided novel results and quantitative justification to facilitate decision making in the early stages of design so as to produce affordable and quality products.

'Before reaching the last mile'- Knowledge, attitude, practice and perceived barriers related to tuberculosis directly observed therapy among ASHA workers in Central India: A mixed method study.

PubMed

Singh, Akash Ranjan; Pakhare, Abhijit; Kokane, Arun M; Shewade, Hemant Deepak; Chauhan, Ashish; Singh, Abhishek; Gangwar, Arti; Thakur, Prahlad Singh

2017-12-01

Community-based direct observed treatment (DOT) providers are an important bridge for the national tuberculosis programme in India to reach the unreached. The present study has explored the knowledge, attitude, practice and barriers perceived by the community-based DOT providers. Mixed-methods study design was used among 41 community-based DOT providers (Accredited Social Health Activist (ASHAs)) working in 67 villages from a primary health center in Raisen district of Madhya Pradesh, India. The cross-sectional quantitative component assessed the knowledge and practices and three focus-group discussions explored the attitude and perceived barriers related to DOT provision. 'Adequate knowledge' and 'satisfactory practice' related to DOT provision was seen in 14 (34%) and 13 (32%) ASHAs respectively. Only two (5%) received any amount of honorarium for completion of DOT in last 3years. The focus-group discussions revealed unfavourable attitude; inadequate training and supervision, non-payment of honorarium, issues related to assured services after referral and patient related factors as the barriers to satisfactory practice of DOT. Study revealed inadequate knowledge and unsatisfactory practice related to DOT provision among ASHAs. Innovations addressing the perceived barriers to improve practice of DOT provision by ASHAs are urgently required. Copyright © 2017 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

Quantitative Resistance to Plant Pathogens in Pyramiding Strategies for Durable Crop Protection.

PubMed

Pilet-Nayel, Marie-Laure; Moury, Benoît; Caffier, Valérie; Montarry, Josselin; Kerlan, Marie-Claire; Fournet, Sylvain; Durel, Charles-Eric; Delourme, Régine

2017-01-01

Quantitative resistance has gained interest in plant breeding for pathogen control in low-input cropping systems. Although quantitative resistance frequently has only a partial effect and is difficult to select, it is considered more durable than major resistance (R) genes. With the exponential development of molecular markers over the past 20 years, resistance QTL have been more accurately detected and better integrated into breeding strategies for resistant varieties with increased potential for durability. This review summarizes current knowledge on the genetic inheritance, molecular basis, and durability of quantitative resistance. Based on this knowledge, we discuss how strategies that combine major R genes and QTL in crops can maintain the effectiveness of plant resistance to pathogens. Combining resistance QTL with complementary modes of action appears to be an interesting strategy for breeding effective and potentially durable resistance. Combining quantitative resistance with major R genes has proven to be a valuable approach for extending the effectiveness of major genes. In the plant genomics era, improved tools and methods are becoming available to better integrate quantitative resistance into breeding strategies. Nevertheless, optimal combinations of resistance loci will still have to be identified to preserve resistance effectiveness over time for durable crop protection.

Quantitative ethnobotanical survey of medicinal flora thriving in Malakand Pass Hills, Khyber Pakhtunkhwa, Pakistan.

PubMed

Barkatullah; Ibrar, Muhammad; Rauf, Abdur; Ben Hadda, Taibi; Mubarak, Mohammad S; Patel, Seema

2015-07-01

Ethnobotanical knowledge is proving to be invaluable for drug discovery in the wake of effective prospecting from biodiversity. On the other hand, the escalating human pressure is threatening the endogenous flora. Situated at the foothill of the Himalayas, Pakistan boasts of rich floristic distribution. However, many lush yet imperiled regions of this country has never been explored. It inspired us to evaluate and document the taxonomic composition, significance of medicinal plants and associated traditional knowledge in the District of Malakand, Khyber Pakhtunkhwa Province. Vegetation growing in Malakand pass hills, Pakistan was studied and data were collected using an open-ended questionnaire, in addition to interviewing the local elderly, knowledgeable persons, and herbal practitioners. Relative Frequency Citation (RFC) and Use Value (UV) of the medicinal plants were calculated and their correlation was determined by Pearson correlation coefficient. This study encompasses 92 plant species belonging to 56 families thriving in the study area. The information gathered includes ethnobotanical inventory and their pharmacological uses. Quantitative analysis throws light on the consistence of RFC and UV. Asteraceae and Lamiaceae were the most abundant families represented by 6 species each. Shoots were the most used parts (23.6%) and wound healing (7.91%) was the most common therapeutic use. The result obtained from the study implies that local inhabitants rely on these plants for their medicinal requirements. Also, the statistics reveal that, the vegetation can be assessed for potential drug leads. However, urban expansion is threatening the existence of indigenous flora and old generation with ancient herbal wisdom is perishing. So, it appears imperative to preserve the traditional knowledge. This survey is expected to contribute to the discovery of novel bioactive constituents, stimulate conservation efforts of the perturbed flora and promote sustainable exploitation of the medicinal bounty. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

A Model for Resource Allocation Using Operational Knowledge Assets

ERIC Educational Resources Information Center

Andreou, Andreas N.; Bontis, Nick

2007-01-01

Purpose: The paper seeks to develop a business model that shows the impact of operational knowledge assets on intellectual capital (IC) components and business performance and use the model to show how knowledge assets can be prioritized in driving resource allocation decisions. Design/methodology/approach: Quantitative data were collected from 84…

Fifth-Grade Teachers' Social Studies Knowledge and Beliefs and Their Relationship to Classroom Practices

ERIC Educational Resources Information Center

Harcarik, Michele

2009-01-01

This mixed methods study investigates the relationship between fifth-grade teachers' social studies knowledge and beliefs and their relationship to classroom practices. Quantitative data were collected through a beliefs and classroom practices survey and 60-item knowledge test covering the areas of American History, America and the World,…

An Efficacious Measurement of Learning Initiatives: E-Learning Systems, Learning-Organization Culture, Knowledge Creation, and Innovativeness

ERIC Educational Resources Information Center

Grundhoefer, Raymie

2013-01-01

The purpose of this research is twofold: (a) develop a validated measure for learning initiatives based on knowledge-creation theory and (b) conduct a quantitative study to investigate the relationships between electronic learning systems, learning-organization culture, efficacious knowledge creation (EKC), and innovativeness. Although Cheng-Chang…

Teachers' Knowledge and Confidence for Promoting Positive Mental Health in Primary School Communities

ERIC Educational Resources Information Center

Askell-Williams, Helen; Lawson, Michael J.

2013-01-01

This paper reports an investigation into Australian primary school teachers' knowledge and confidence for mental health promotion. Questionnaires were delivered to 1397 teachers. In-depth interviews were held with 37 teachers. Quantitative results showed that half to two thirds of teachers felt efficacious and knowledgeable about selected…

Evaluation of Residential Consumers Knowledge of Wireless Network Security and Its Correlation with Identity Theft

ERIC Educational Resources Information Center

Kpaduwa, Fidelis Iheanyi

2010-01-01

This current quantitative correlational research study evaluated the residential consumers' knowledge of wireless network security and its relationship with identity theft. Data analysis was based on a sample of 254 randomly selected students. All the study participants completed a survey questionnaire designed to measure their knowledge of…

Prozone effect of serum IgE levels in a case of plasma cell leukemia

PubMed Central

2010-01-01

We describe a case of multiple myeloma (MM) and secondary plasma cell leukemia (PCL) secreting IgE-kappa immunoglobulin. To our knowledge, only 2 cases of IgE-producing secondary PCL have been reported in the medical literature. In our patient, the only tumor marker available for monitoring the therapeutic response to chemotherapy and allogeneic stem cell transplantation was the quantitative M component at serum protein electrophoresis (SPEP), because serum free light chains were in the normal range, Bence-Jones proteinuria was absent, and quantitative serum IgE levels provided inaccurate and erratic results, due to the prozone effect. This is a laboratory phenomenon that occurs when antigen excess interferes with antibody-based methods requiring immune complex formation for detection. It is important to recognize the presence of a prozone effect, because it can produce falsely normal results, and therefore it could lead clinicians to incorrect assessment of the response to therapy. PMID:20828419

MetaPathways v2.5: quantitative functional, taxonomic and usability improvements.

PubMed

Konwar, Kishori M; Hanson, Niels W; Bhatia, Maya P; Kim, Dongjae; Wu, Shang-Ju; Hahn, Aria S; Morgan-Lang, Connor; Cheung, Hiu Kan; Hallam, Steven J

2015-10-15

Next-generation sequencing is producing vast amounts of sequence information from natural and engineered ecosystems. Although this data deluge has an enormous potential to transform our lives, knowledge creation and translation need software applications that scale with increasing data processing and analysis requirements. Here, we present improvements to MetaPathways, an annotation and analysis pipeline for environmental sequence information that expedites this transformation. We specifically address pathway prediction hazards through integration of a weighted taxonomic distance and enable quantitative comparison of assembled annotations through a normalized read-mapping measure. Additionally, we improve LAST homology searches through BLAST-equivalent E-values and output formats that are natively compatible with prevailing software applications. Finally, an updated graphical user interface allows for keyword annotation query and projection onto user-defined functional gene hierarchies, including the Carbohydrate-Active Enzyme database. MetaPathways v2.5 is available on GitHub: http://github.com/hallamlab/metapathways2. shallam@mail.ubc.ca Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press.

Is container type the biggest predictor of trace element and BPA leaching from drinking water bottles?

PubMed

Rowell, Candace; Kuiper, Nora; Preud'Homme, Hugues

2016-07-01

The knowledge-base of bottled water leachate is highly contradictory due to varying methodologies and limited multi-elemental and/or molecular analyses; understanding the range of contaminants and their pathways is required. This study determined the leaching potential and leaching kinetics of trace elements, using consistent comprehensive quantitative and semi-quantitative (79 elements total) analyses, and BPA, using isotopic dilution and MEPS pre-concentration with UHPLC-ESI-QTOF. Statistical methods were used to determine confounders and predictors of leaching and human health risk throughout 12days of UV exposure and after exposure to elevated temperature. Various types of water were used to assess the impact of water quality. Results suggest Sb leaching is primarily dependent upon water quality, not container type. Bottle type is a predictor of elemental leaching for Pb, Ba, Cr, Cu, Mn and Sr; BPA was detected in samples from polycarbonate containers. Health risks from the consumption of bottled water increase after UV exposure. Copyright © 2016 Elsevier Ltd. All rights reserved.

Quantitative in vivo assessment of lung microstructure at the alveolar level with hyperpolarized 3He diffusion MRI

NASA Astrophysics Data System (ADS)

Yablonskiy, Dmitriy A.; Sukstanskii, Alexander L.; Leawoods, Jason C.; Gierada, David S.; Bretthorst, G. Larry; Lefrak, Stephen S.; Cooper, Joel D.; Conradi, Mark S.

2002-03-01

The study of lung emphysema dates back to the beginning of the 17th century. Nevertheless, a number of important questions remain unanswered because a quantitative localized characterization of emphysema requires knowledge of lung structure at the alveolar level in the intact living lung. This information is not available from traditional imaging modalities and pulmonary function tests. Herein, we report the first in vivo measurements of lung geometrical parameters at the alveolar level obtained with 3He diffusion MRI in healthy human subjects and patients with severe emphysema. We also provide the first experimental data demonstrating that 3He gas diffusivity in the acinus of human lung is highly anisotropic. A theory of anisotropic diffusion is presented. Our results clearly demonstrate substantial differences between healthy and emphysematous lung at the acinar level and may provide new insights into emphysema progression. The technique offers promise as a clinical tool for early diagnosis of emphysema.

Using integrated environmental modeling to automate a process-based Quantitative Microbial Risk Assessment

EPA Science Inventory

Integrated Environmental Modeling (IEM) organizes multidisciplinary knowledge that explains and predicts environmental-system response to stressors. A Quantitative Microbial Risk Assessment (QMRA) is an approach integrating a range of disparate data (fate/transport, exposure, an...

Using Integrated Environmental Modeling to Automate a Process-Based Quantitative Microbial Risk Assessment (presentation)

EPA Science Inventory

Integrated Environmental Modeling (IEM) organizes multidisciplinary knowledge that explains and predicts environmental-system response to stressors. A Quantitative Microbial Risk Assessment (QMRA) is an approach integrating a range of disparate data (fate/transport, exposure, and...

Food allergy training event for restaurant staff; a pilot evaluation

PubMed Central

2014-01-01

A previous cross-sectional survey highlighted that restaurant staff in Brighton had gaps in their knowledge of food allergy, which could lead to the provision of unsafe meals to food-allergic customers. A food allergy training event was developed by a multi-disciplinary team (health service researcher, clinician, teacher and patient group representative) to equip restaurant staff with the knowledge and skills necessary to safely serve food-allergic customers. This evaluation summarises the training event’s impact on participants’ knowledge of food allergy and their satisfaction with the event. No attendee had previously attended any formal training on food allergy. The percentage of participants who answered all true-false questions correctly increased from 82% before the training event to 91% afterwards. The percentage of participants who were able to name at least three common allergens increased from 9% to 64%. Both quantitative and qualitative feedback was positive. Restaurant staff require a good understanding of food allergy to ensure that food-allergic customers are kept safe, and their restaurants operate within the law. This food allergy training event improved participants’ absolute knowledge of food allergy, and attendees changed practice. Recommendations are made which could improve the impact and uptake of future food allergy training events. PMID:25225607

The utilization of knowledge of and interest in research and development among primary care staff by means of strategic communication - a staff cohort study.

PubMed

Morténius, Helena; Marklund, Bertil; Palm, Lars; Fridlund, Bengt; Baigi, Amir

2012-08-01

The obvious gap between evidence and practice in health care is unfavourable for patient care and requires the promotion of a scientific attitude among health care professionals. The aim of the present study was to determine the utilization of knowledge of and interest in research and development among primary care staff by means of a strategic communication process. A cohort consisting of primary care staff (n = 1276) was designed and strategic communication was utilized as a platform over a 7-year period. Quantitative and qualitative methods were taken in account. We found that 97% of the staff had gained knowledge of research and development, 60% of whom remained interested in the subject. The oral communication channel was the most powerful for creating research interest. Organizational culture was a barrier to interest in science. The study demonstrates a significant increase in knowledge and interest among primary care staff as a result of a strategic communication process. Strategic communication should lead to a more evenly distributed research commitment among all health care professionals, thus facilitating communication between them and patients in order to clarify, for example, the causes of disease. © 2011 Blackwell Publishing Ltd.

ChloroKB: A Web Application for the Integration of Knowledge Related to Chloroplast Metabolic Network.

PubMed

Gloaguen, Pauline; Bournais, Sylvain; Alban, Claude; Ravanel, Stéphane; Seigneurin-Berny, Daphné; Matringe, Michel; Tardif, Marianne; Kuntz, Marcel; Ferro, Myriam; Bruley, Christophe; Rolland, Norbert; Vandenbrouck, Yves; Curien, Gilles

2017-06-01

Higher plants, as autotrophic organisms, are effective sources of molecules. They hold great promise for metabolic engineering, but the behavior of plant metabolism at the network level is still incompletely described. Although structural models (stoichiometry matrices) and pathway databases are extremely useful, they cannot describe the complexity of the metabolic context, and new tools are required to visually represent integrated biocurated knowledge for use by both humans and computers. Here, we describe ChloroKB, a Web application (http://chlorokb.fr/) for visual exploration and analysis of the Arabidopsis ( Arabidopsis thaliana ) metabolic network in the chloroplast and related cellular pathways. The network was manually reconstructed through extensive biocuration to provide transparent traceability of experimental data. Proteins and metabolites were placed in their biological context (spatial distribution within cells, connectivity in the network, participation in supramolecular complexes, and regulatory interactions) using CellDesigner software. The network contains 1,147 reviewed proteins (559 localized exclusively in plastids, 68 in at least one additional compartment, and 520 outside the plastid), 122 proteins awaiting biochemical/genetic characterization, and 228 proteins for which genes have not yet been identified. The visual presentation is intuitive and browsing is fluid, providing instant access to the graphical representation of integrated processes and to a wealth of refined qualitative and quantitative data. ChloroKB will be a significant support for structural and quantitative kinetic modeling, for biological reasoning, when comparing novel data with established knowledge, for computer analyses, and for educational purposes. ChloroKB will be enhanced by continuous updates following contributions from plant researchers. © 2017 American Society of Plant Biologists. All Rights Reserved.

Cultural knowledge and local vulnerability in African American communities

NASA Astrophysics Data System (ADS)

Miller Hesed, Christine D.; Paolisso, Michael

2015-07-01

Policymakers need to know what factors are most important in determining local vulnerability to facilitate effective adaptation to climate change. Quantitative vulnerability indices are helpful in this endeavour but are limited in their ability to capture subtle yet important aspects of vulnerability such as social networks, knowledge and access to resources. Working with three African American communities on Maryland’s Eastern Shore, we systematically elicit local cultural knowledge on climate change and connect it with a scientific vulnerability framework. The results of this study show that: a given social-ecological factor can substantially differ in the way in which it affects local vulnerability, even among communities with similar demographics and climate-related risks; and social and political isolation inhibits access to sources of adaptive capacity, thereby exacerbating local vulnerability. These results show that employing methods for analysing cultural knowledge can yield new insights to complement those generated by quantitative vulnerability indices.

Alcohol Production, Prevention Strategies, and Inmate Knowledge About the Risk for Botulism From Pruno Consumption in a Correctional Facility--Arizona, 2013.

PubMed

Adams, Laura E; Yasmin, Seema; Briggs, Graham; Redden, Kore; Silvas, Suzanne; Anderson, Shoana; Weiss, Joli; Tsang, Clarisse A; Henke, Evan; Francies, Jessica; Herrick, Kristen; Lira, Rosa; Livar, Eugene; Thompson, Gerald; Sunenshine, Rebecca; Robinson, Byron F; Bisgard, Kristine M; Komatsu, Kenneth K

2015-10-01

During July to November 2012, two botulism outbreaks (12 cases total) occurred in one all-male prison; both were associated with illicitly brewed alcohol (pruno) consumption. Inmate surveys were conducted to evaluate and develop prevention and education strategies. Qualitative surveys with open-ended questions were performed among inmates from rooms where outbreaks occurred to learn about pruno consumption. Quantitative surveys assessed knowledge gained after the outbreaks and preferred information sources. For the quantitative surveys, 250 inmates were randomly selected by bed from across the correctional facility and 164 inmates were interviewed. Only 24% of inmates reported any botulism knowledge before the outbreaks and education outreach, whereas 73% reported knowledge after the outbreaks (p < .01). Preferred information sources included handouts/fliers (52%) and the prison television channel (32%). © The Author(s) 2015.

Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement.

PubMed

Cobb, Joshua N; Declerck, Genevieve; Greenberg, Anthony; Clark, Randy; McCouch, Susan

2013-04-01

More accurate and precise phenotyping strategies are necessary to empower high-resolution linkage mapping and genome-wide association studies and for training genomic selection models in plant improvement. Within this framework, the objective of modern phenotyping is to increase the accuracy, precision and throughput of phenotypic estimation at all levels of biological organization while reducing costs and minimizing labor through automation, remote sensing, improved data integration and experimental design. Much like the efforts to optimize genotyping during the 1980s and 1990s, designing effective phenotyping initiatives today requires multi-faceted collaborations between biologists, computer scientists, statisticians and engineers. Robust phenotyping systems are needed to characterize the full suite of genetic factors that contribute to quantitative phenotypic variation across cells, organs and tissues, developmental stages, years, environments, species and research programs. Next-generation phenotyping generates significantly more data than previously and requires novel data management, access and storage systems, increased use of ontologies to facilitate data integration, and new statistical tools for enhancing experimental design and extracting biologically meaningful signal from environmental and experimental noise. To ensure relevance, the implementation of efficient and informative phenotyping experiments also requires familiarity with diverse germplasm resources, population structures, and target populations of environments. Today, phenotyping is quickly emerging as the major operational bottleneck limiting the power of genetic analysis and genomic prediction. The challenge for the next generation of quantitative geneticists and plant breeders is not only to understand the genetic basis of complex trait variation, but also to use that knowledge to efficiently synthesize twenty-first century crop varieties.

WE-A-BRD-01: Innovation in Radiation Therapy Planning I: Knowledge Guided Treatment Planning

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

Wu, Q; Olsen, L

2014-06-15

Intensity modulated radiation therapy (IMRT) and Volumetric Modulated Arc Therapy (VMAT) offer the capability of normal tissues and organs sparing. However, the exact amount of sparing is often unknown until the plan is complete. This lack of prior guidance has led to the iterative, trial and-error approach in current planning practice. Even with this effort the search for patient-specific optimal organ sparing is still strongly influenced by planner's experience. While experience generally helps in maximizing the dosimetric advantages of IMRT/VMAT, there have been several reports showing unnecessarily high degree of plan quality variability at individual institutions and amongst different institutions,more » even with a large amount of experience and the best available tools. Further, when physician and physicist evaluate a plan, the dosimetric quality of the plan is often compared with a standard protocol that ignores individual patient anatomy and tumor characteristic variations. In recent years, developments of knowledge models for clinical IMRT/VMAT planning guidance have shown promising clinical potentials. These knowledge models extract past expert clinical experience into mathematical models that predict dose sparing references at patient-specific level. For physicians and planners, these references provide objective values that reflect best achievable dosimetric constraints. For quality assurance, applying patient-specific dosimetry requirements will enable more quantitative and objective assessment of protocol compliance for complex IMRT planning. Learning Objectives: Modeling and representation of knowledge for knowledge-guided treatment planning. Demonstrations of knowledge-guided treatment planning with a few clinical caanatomical sites. Validation and evaluation of knowledge models for cost and quality effective standardization of plan optimization.« less

Meeting an "impossible challenge" in semantic dementia: outstanding performance in numerical Sudoku and quantitative number knowledge.

PubMed

Papagno, Costanza; Semenza, Carlo; Girelli, Luisa

2013-11-01

This study describes a follow-up investigation of numerical abilities and visuospatial memory in a patient suffering from semantic dementia whose progressive decline of semantic memory variably affected different types of knowledge. Crucially, we investigated in detail her outstanding performance with Sudoku that has been only anecdotally reported in the previous literature. We tested spatial cognition and memory, body representation, number processing, calculation, and Sudoku tasks, and we compared the patient's performance with that of matched controls. In agreement with the neuroanatomical data, showing substantial sparing of the parietal lobes in the face of severe atrophy of the temporal (and frontal) regions, we report full preservation of skills known to be supported by intact parietal-basal ganglia networks, and impaired knowledge related to long-term stored declarative information mediated by temporal regions. Performance in tasks sensitive to parietal dysfunction (such as right-left orientation, finger gnosis, writing, and visuospatial memory) was normal; within the numerical domain, preserved quantity-based number knowledge dissociated from increasing difficulties with nonquantitative number knowledge (such as knowledge of encyclopedic and personal number facts) and arithmetic facts knowledge. This case confirms the relation between numbers and space, and, although indirectly, their anatomical correlates, underlining which abilities are preserved in the case of severe semantic loss. In addition, although Sudoku is not inherently numerical, the patient was able to solve even the most difficult pattern, provided that it required digits and not letters, showing that digits have, in any case, a specific status. PsycINFO Database Record (c) 2013 APA, all rights reserved.

49 CFR 383.111 - Required knowledge.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 49 Transportation 5 2011-10-01 2011-10-01 false Required knowledge. 383.111 Section 383.111... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.111 Required knowledge. (a) All CMV operators must have knowledge of the following 20 general areas: (1) Safe operations regulations...

49 CFR 383.111 - Required knowledge.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 49 Transportation 5 2010-10-01 2010-10-01 false Required knowledge. 383.111 Section 383.111... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.111 Required knowledge. All commercial motor vehicle operators must have knowledge of the following general areas: (a) Safe operations...

Changes in physiotherapy students' knowledge and perceptions of EBP from first year to graduation: a mixed methods study.

PubMed

McEvoy, Maureen P; Lewis, Lucy K; Luker, Julie

2018-05-11

Dedicated Evidence-Based Practice (EBP) courses are often included in health professional education programs. It is important to understand the effectiveness of this training. This study investigated EBP outcomes in entry-level physiotherapy students from baseline to completion of all EBP training (graduation). Mixed methods with an explanatory sequential design. Physiotherapy students completed two psychometrically-tested health professional EBP instruments at baseline and graduation. The Evidence-Based Practice Profile questionnaire collected self-reported data (Terminology, Confidence, Practice, Relevance, Sympathy), and the Knowledge of Research Evidence Competencies instrument collected objective data (Actual Knowledge). Focus groups with students were conducted at graduation to gain a deeper understanding of the factors impacting changes in students' EBP knowledge, attitudes, behaviour and competency. Descriptive statistics, paired t-tests, 95% CI and effect sizes (ES) were used to examine changes in outcome scores from baseline to graduation. Transcribed focus group data were analysed following a qualitative descriptive approach with thematic analysis. A second stage of merged data analysis for mixed methods studies was undertaken using side-by-side comparisons to explore quantitatively assessed EBP measures with participants' personal perceptions. Data were analysed from 56 participants who completed both instruments at baseline and graduation, and from 21 focus group participants. Large ES were reported across most outcomes: Relevance (ES 2.29, p ≤ 0.001), Practice (1.8, p ≤ 0.001), Confidence (1.67, p ≤ 0.001), Terminology (3.13, p ≤ 0.001) and Actual Knowledge (4.3, p ≤ 0.001). A medium ES was found for Sympathy (0.49, p = 0.008). Qualitative and quantitative findings mostly aligned but for statistical terminology, participants' self-reported understanding was disparate with focus group reported experiences. Qualitative findings highlighted the importance of providing relevant context and positive role models for students during EBP training. Following EBP training across an entry-level physiotherapy program, there were qualitative and significant quantitative changes in participants' knowledge and perceptions of EBP. The qualitative and quantitative findings were mainly well-aligned with the exception of the Terminology domain, where the qualitative findings did not support the strength of the effect reported quantitatively. The findings of this study have implications for the timing and content of EBP curricula in entry-level health professional programs.

System considerations for detection and tracking of small targets using passive sensors

NASA Astrophysics Data System (ADS)

DeBell, David A.

1991-08-01

Passive sensors provide only a few discriminants to assist in threat assessment of small targets. Tracking of the small targets provides additional discriminants. This paper discusses the system considerations for tracking small targets using passive sensors, in particular EO sensors. Tracking helps establish good versus bad detections. Discussed are the requirements to be placed on the sensor system's accuracy, with respect to knowledge of the sightline direction. The detection of weak targets sets a requirement for two levels of tracking in order to reduce processor throughput. A system characteristic is the need to track all detections. For low thresholds, this can mean a heavy track burden. Therefore, thresholds must be adaptive in order not to saturate the processors. Second-level tracks must develop a range estimate in order to assess threat. Sensor platform maneuvers are required if the targets are moving. The need for accurate pointing, good stability, and a good update rate will be shown quantitatively, relating to track accuracy and track association.

Using integrated environmental modeling to automate a process-based Quantitative Microbial Risk Assessment

USDA-ARS?s Scientific Manuscript database

Integrated Environmental Modeling (IEM) organizes multidisciplinary knowledge that explains and predicts environmental-system response to stressors. A Quantitative Microbial Risk Assessment (QMRA) is an approach integrating a range of disparate data (fate/transport, exposure, and human health effect...

ESA Human rating Requirements:Status

NASA Astrophysics Data System (ADS)

Trujillo, M.; Sgobba, T.

2012-01-01

The European Space Agency (ESA) human rating safety requirements are based on heritage requirements of the International Space Station as well as the knowledge and experience derived from European participation on international partnerships. This expertise in conjunction with recommendations derived from past accidents (i.e.: Columbia) and lessons learned have led to the identification of m inimum core safety tech nical requirements for hum an rated space syst ems. These requirements apply to th e crewed space vehicle, integrated space system (i.e.: cre wed vehicle on its launcher) and its interfaces with control centres, la unch pad, etc. In 2009, a first draft was issued. Then, in the summer of 2010, ESA established a working group comprised of more than twenty experts (from disciplines including propulsion, pyrotechnics, structures, avionics, human factors and life support among others) across the Agency to review this draft. This paper provides an overview of ESA "Safety technical re quirements for human rated s pace systems" document, its scope a nd structure, as well as the planned steps for verification of these requirements in term s of achieving the identified safety objectives for crew safety in t erms of a quantitative risk evaluation.

Making Social Work Count: A Curriculum Innovation to Teach Quantitative Research Methods and Statistical Analysis to Undergraduate Social Work Students in the United Kingdom

ERIC Educational Resources Information Center

Teater, Barbra; Roy, Jessica; Carpenter, John; Forrester, Donald; Devaney, John; Scourfield, Jonathan

2017-01-01

Students in the United Kingdom (UK) are found to lack knowledge and skills in quantitative research methods. To address this gap, a quantitative research method and statistical analysis curriculum comprising 10 individual lessons was developed, piloted, and evaluated at two universities The evaluation found that BSW students' (N = 81)…

Refractive index variance of cells and tissues measured by quantitative phase imaging.

PubMed

Shan, Mingguang; Kandel, Mikhail E; Popescu, Gabriel

2017-01-23

The refractive index distribution of cells and tissues governs their interaction with light and can report on morphological modifications associated with disease. Through intensity-based measurements, refractive index information can be extracted only via scattering models that approximate light propagation. As a result, current knowledge of refractive index distributions across various tissues and cell types remains limited. Here we use quantitative phase imaging and the statistical dispersion relation (SDR) to extract information about the refractive index variance in a variety of specimens. Due to the phase-resolved measurement in three-dimensions, our approach yields refractive index results without prior knowledge about the tissue thickness. With the recent progress in quantitative phase imaging systems, we anticipate that using SDR will become routine in assessing tissue optical properties.

Capturing Crime: The Qualitative Analysis of Individual Cases for Advancing Criminological Knowledge.

PubMed

Wright, Kevin A; Bouffard, Leana A

2016-02-01

The qualitative analysis of individual cases has a prominent place in the development of criminological theory, yet progression in the scientific study of crime has largely been viewed as a distinctly quantitative endeavor. In the process, much of the theoretical depth and precision supplied by earlier methods of criminological knowledge production have been sacrificed. The current work argues for a return to our criminological roots by supplementing quantitative analyses with the qualitative inspection of individual cases. We provide a specific example of a literature (i.e., criminal specialization/versatility) that has become increasingly quantitative and could benefit from the use of the proposed approach. We conclude by offering additional areas of research that might be advanced by our framework presented here. © The Author(s) 2014.

Exploring knowledge, attitudes, and barriers toward the use of evidence-based practice amongst academic health care practitioners in their teaching in a South African university: a pilot study.

PubMed

McInerney, Patricia; Suleman, Fatima

2010-06-01

If institutions of higher education are to produce health professionals whose practice is research based, then students need to be exposed to learning opportunities that include searching for information and critical appraisal. This requires teachers to incorporate the latest research in their teaching. One of the identified strategic goals of a South African university was to produce evidence-based health care practitioners. Evidence-based practice (EBP) requires that health care practitioners plan their actions based on clinically relevant studies and research as opposed to traditional actions that are steeped in opinion. To determine the extent to which academic health care practitioners use "evidence" in their teaching and what they perceived as barriers to the use of EBP. A quantitative design was chosen and a structured questionnaire was used. The areas that were measured included knowledge and attitudes, use of EBP and perceived barriers to the use of EBP. Twenty-three academic health care practitioners completed the questionnaire. Knowledge and attitudes: 80% strongly agreed on a four-point Likert scale, that there is a strong need to incorporate EBP into teaching, with only 48% strongly agreeing that EBP is another perspective of clinical effectiveness. Use of EBP: 73.9% stated that they used EBP in their teaching and 60.9% agreed that it imposes another demand on an already overloaded academic. More than half reported using journals, textbooks, the Internet, colleagues, and the Cochrane library to improve their teaching. Academic health care practitioners attempting to implement EBP have encountered a significant number of barriers in this South African institution. These barriers include lack of knowledge pertaining to EBP, lack of access to research findings, insufficient evidence, and insufficient time.

Strengthening Human Immunodeficiency Virus and Tuberculosis Prevention Capacity among South African Healthcare Workers: A Mixed Methods Study of a Collaborative Occupational Health Program.

PubMed

Liautaud, Alexandre; Adu, Prince A; Yassi, Annalee; Zungu, Muzimkhulu; Spiegel, Jerry M; Rawat, Angeli; Bryce, Elizabeth A; Engelbrecht, Michelle C

2018-06-01

Insufficient training in infection control and occupational health among healthcare workers (HCWs) in countries with high human immunodeficiency virus (HIV) and tuberculosis (TB) burdens requires attention. We examined the effectiveness of a 1-year Certificate Program in Occupational Health and Infection Control conducted in Free State Province, South Africa in an international partnership to empower HCWs to become change agents to promote workplace-based HIV and TB prevention. Questionnaires assessing reactions to the program and Knowledge, Attitudes, Skills, and Practices were collected pre-, mid-, and postprogram. Individual interviews, group project evaluations, and participant observation were also conducted. Quantitative data were analyzed using Wilcoxon signed-rank test. Qualitative data were thematically coded and analyzed using the Kirkpatrick framework. Participants recruited ( n  = 32) were mostly female (81%) and nurses (56%). Pre-to-post-program mean scores improved in knowledge (+12%, p  = 0.002) and skills/practices (+14%, p  = 0.002). Pre-program attitude scores were high but did not change. Participants felt empowered and demonstrated attitudinal improvements regarding HIV, TB, infection control, and occupational health. Successful projects were indeed implemented. However, participants encountered considerable difficulties in trying to sustain improvement, due largely to lack of pre-existing knowledge and experience, combined with inadequate staffing and insufficient management support. Training is essential to strengthen HCWs' occupational health and infection control knowledge, attitudes, skills, and practices, and workplace-based training programs such as this can yield impressive results. However, the considerable mentorship resources required for such programs and the substantial infrastructural supports needed for implementation and sustainability of improvements in settings without pre-existing experience in such endeavors should not be underestimated.

"Organizing the Mess in My Mind": EFL Teachers' Perceptions and Knowledge of English Orthography

ERIC Educational Resources Information Center

Kahn-Horwitz, Janina

2015-01-01

English foreign language (EFL) literacy achievement is a major challenge for EFL pupils in Israel. To better understand this challenge, this study used a quantitative approach to examine differences between experienced and preservice EFL teachers' content knowledge of the English orthography and the impact of a semester course on this knowledge. A…

Investigating Student Perceptions of Knowledge Acquisition within a Role-Play Simulation of the Convention on Biological Diversity

ERIC Educational Resources Information Center

Schnurr, Matthew A.; De Santo, Elizabeth M.; Green, Amanda D.; Taylor, Alanna

2015-01-01

This article investigates the particular mechanisms through which a role-play simulation impacts student perceptions of knowledge acquisition. Longitudinal data were mobilized in the form of quantitative and qualitative surveys to examine whether the simulation succeeded in increasing knowledge around both content and skills. It then delves deeper…

The Relationship between Trained Preceptors' Knowledge and Skills and Student Nurses' Academic Success

ERIC Educational Resources Information Center

Woodruff, David W.

2017-01-01

The lack of consistency in preceptors' knowledge and skills results in inconsistent preparation of student nurses. The purpose of this study was to examine the relationship between nurse preceptors' knowledge and skills and student nurses' academic success, as defined by better student learning. A quantitative, correlational survey method was used…

A Canonical Correlation Analysis of Social Capital and Knowledge Exchange for Virtual Members of IT Teams

ERIC Educational Resources Information Center

Dutton Feliu, Genevieve

2018-01-01

Social capital theory conceptualized social capital as key to connecting team members into the flow of valued resources and activities, with knowledge deemed one of the most valuable of these resources. Yet, the literature found teams struggle to effectively share knowledge. This quantitative survey-based study assessed the interrelationship…

Experienced EFL Teachers' Professional Practical Knowledge, Reasoning and Classroom Decision Making in Egypt: Views from the Inside Out

ERIC Educational Resources Information Center

Abdelhafez, Ahmed

2014-01-01

This study aimed to investigate the areas that constituted the professional practical knowledge of experienced English as a Foreign Language teachers in Egypt and how their knowledge informed their classroom practice. Quantitative and qualitative data were collected from 236 preparatory and secondary school teachers in 38 schools through…

Teacher Self-Efficacy, Content and Pedagogical Knowledge, and Their Relationship to Student Achievement in Algebra I

ERIC Educational Resources Information Center

Fox, Antonia M.

2014-01-01

The purpose of this quantitative study was to explore the relationship between teacher self-efficacy beliefs and the level of student achievement their students obtain as evidenced by the Algebra I Virginia Standards of Learning (SOL) assessment. This study also explored teachers' mathematics content knowledge, mathematics pedagogical knowledge,…

Teaching Efficacy: Exploring Relationships between Mathematics and Science Self-Efficacy Beliefs, PCK and Domain Knowledge among Preservice Teachers from the United States

ERIC Educational Resources Information Center

Thomson, Margareta Maria; DiFrancesca, Daniell; Carrier, Sarah; Lee, Carrie

2017-01-01

This mixed-methods study investigated the relationships among preservice teachers' efficacy beliefs, pedagogical content knowledge (PCK) and their domain knowledge (DK) as related to mathematics and science teaching. Quantitative results revealed that participants' PCK was significantly correlated with their mathematics and science efficacy…

The Genesis of Mentors' Professional and Personal Knowledge about Teaching: Perspectives from the Republic of Ireland

ERIC Educational Resources Information Center

Clarke, Marie; Killeavy, Maureen; Moloney, Anne

2013-01-01

This study investigates the sources of mentors' knowledge about teaching. A mixed-method research design combining quantitative and qualitative data collection methods was used to examine this area. The findings of the study suggest that: mentors' knowledge about teaching is practice orientated and emerges from their professional experiences,…

Mechanisms and drivers of social inequality in phase II cardiac rehabilitation attendance: A Convergent Mixed Methods study.

PubMed

Pedersen, Maria; Overgaard, Dorthe; Andersen, Ingelise; Baastrup, Marie; Egerod, Ingrid

2018-05-17

To explore the extent to which the qualitative and quantitative data converge and explain mechanisms and drivers of social inequality in cardiac rehabilitation attendance. Social inequality in cardiac rehabilitation attendance has been a recognized problem for many years. However, to date the mechanisms driving these inequalities are still not fully understood. The study was designed as a convergent mixed methods study. From March 2015 - March 2016, patients hospitalized with acute coronary syndrome to two Danish regional hospitals were included in a quantitative prospective observational study (N=302). Qualitative interview informants (N=24) were sampled from the quantitative study population and half brought a close relative (N=12) for dyadic interviews. Interviews were conducted from August 2015 to February 2016. Integrated analyses were conducted in joint displays by merging the quantitative and qualitative findings. Qualitative and quantitative findings primarily confirmed and expanded each other; however, discordant results were also evident. Integrated analyses identified socially differentiated lifestyles, health beliefs, travel barriers and self-efficacy as potential drivers of social inequality in cardiac rehabilitation. Our study adds empirical evidence regarding how a mixed methods study can be used to obtain an understanding of complex healthcare problems. The study provides new knowledge concerning the mechanisms driving social inequality in cardiac rehabilitation attendance. To prevent social inequality, cardiac rehabilitation should be accommodated to patients with a history of unhealthy behaviour and low self-efficacy. Additionally, the rehabilitation programme should be offered in locations not requiring a long commute. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

The role of service-learning in college students' environmental literacy: Content knowledge, attitudes, and behaviors

NASA Astrophysics Data System (ADS)

Singletary, Joanna Lynn Bush

This study evaluated the relationship of environmental service-learning on environmental literacy in undergraduates. The subjects were 36 undergraduates at a small liberal arts university enrolled in an environmental biology course. To determine the role of environmental service-learning on college students' environmental knowledge, attitudes, behaviors, and environmental literacy, this study utilized concurrent mixed methods approach for qualitative and quantitative analysis. A quasi-experimental repeated measures approach was the design of the quantitative component of the study. Data were collected on attitude, behavior, and content knowledge aspects of environmental literacy as measured by the Environmental Literacy Survey (Kibert, 2000). Hypotheses were tested by independent samples ttests and repeated measures ANOVA. Repeated measures ANOVA conducted on participants' three subscales scores for the Environmental Literacy Survey (attitude, behavior, and knowledge) indicated that students who participated in environmental service-learning scored statistically significantly higher than those that did not initially participate in service-learning. Qualitative data collected in the form of journal reflections and portfolios were evaluated for themes of environmental attitudes or affective statements, environmentally positive behaviors and skills, and ecological content. Quantitative and qualitative data support the positive role of environmental service-learning in the development of environmental literacy in undergraduate students.

Quantitative and qualitative analysis of study-related patient information sheets in randomised neuro-oncology phase III-trials.

PubMed

Reinert, Christiane; Kremmler, Lukas; Burock, Susen; Bogdahn, Ulrich; Wick, Wolfgang; Gleiter, Christoph H; Koller, Michael; Hau, Peter

2014-01-01

In randomised controlled trials (RCTs), patient informed consent documents are an essential cornerstone of the study flow. However, these documents are often oversized in format and content. Clinical experience suggests that study information sheets are often not used as an aid to decision-making due to their complexity. We analysed nine patient informed consent documents from clinical neuro-oncological phase III-studies running at a German Brain Tumour Centre with the objective to investigate the quality of these documents. Text length, formal layout, readability, application of ethical and legal requirements, scientific evidence and social aspects were used as rating categories. Results were assessed quantitatively by two independents investigators and were depicted using net diagrams. All patient informed consent documents were of insufficient quality in all categories except that ethical and legal requirements were fulfilled. Notably, graduate levels were required to read and understand five of nine consent documents. Quality deficits were consistent between the individual study information texts. Irrespective of formal aspects, a document that is intended to inform and motivate patients to participate in a study needs to be well-structured and understandable. We therefore strongly mandate to re-design patient informed consent documents in a patient-friendly way. Specifically, standardised components with a scientific foundation should be provided that could be retrieved at various times, adapted to the mode of treatment and the patient's knowledge, and could weigh information dependent of the stage of treatment decision. Copyright © 2013 Elsevier Ltd. All rights reserved.

What information on measurement uncertainty should be communicated to clinicians, and how?

PubMed

Plebani, Mario; Sciacovelli, Laura; Bernardi, Daniela; Aita, Ada; Antonelli, Giorgia; Padoan, Andrea

2018-02-02

The communication of laboratory results to physicians and the quality of reports represent fundamental requirements of the post-analytical phase in order to assure the right interpretation and utilization of laboratory information. Accordingly, the International Standard for clinical laboratories accreditation (ISO 15189) requires that "laboratory reports shall include the information necessary for the interpretation of the examination results". Measurement uncertainty (MU) is an inherent property of any quantitative measurement result which express the lack of knowledge of the true value and quantify the uncertainty of a result, incorporating the factors known to influence it. Even if the MU is not included in the report attributes of ISO 15189 and cannot be considered a post-analytical requirement, it is suggested as an information which should facilitate an appropriate interpretation of quantitative results (quantity values). Therefore, MU has two intended uses: for laboratory professionals, it gives information about the quality of measurements, providing evidence of the compliance with analytical performance characteristics; for physicians (and patients) it may help in interpretation of measurement results, especially when values are compared with reference intervals or clinical decision limits, providing objective information. Here we describe the way that MU should be added to laboratory reports in order to facilitate the interpretation of laboratory results and connecting efforts performed within laboratory to provide more accurate and reliable results with a more objective tool for their interpretation by physicians. Copyright © 2018 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Science education in the Boy Scouts of America

NASA Astrophysics Data System (ADS)

Hintz, Rachel Sterneman

This study of science education in the Boy Scouts of America focused on males with Boy Scout experience. The mixed-methods study topics included: merit badge standards compared with National Science Education Standards, Scout responses to open-ended survey questions, the learning styles of Scouts, a quantitative assessment of science content knowledge acquisition using the Geology merit badge, and a qualitative analysis of interview responses of Scouts, Scout leaders, and scientists who were Scouts. The merit badge requirements of the 121 current merit badges were mapped onto the National Science Education Standards: 103 badges (85.12%) had at least one requirement meeting the National Science Education Standards. In 2007, Scouts earned 1,628,500 merit badges with at least one science requirement, including 72,279 Environmental Science merit badges. "Camping" was the "favorite thing about Scouts" for 54.4% of the boys who completed the survey. When combined with other outdoor activities, what 72.5% of the boys liked best about Boy Scouts involved outdoor activity. The learning styles of Scouts tend to include tactile and/or visual elements. Scouts were more global and integrated than analytical in their thinking patterns; they also had a significant intake element in their learning style. Earning a Geology merit badge at any location resulted in a significant gain of content knowledge; the combined treatment groups for all location types had a 9.13% gain in content knowledge. The amount of content knowledge acquired through the merit badge program varied with location; boys earning the Geology merit badge at summer camp or working as a troop with a merit badge counselor tended to acquire more geology content knowledge than boys earning the merit badge at a one-day event. Boys retained the content knowledge learned while earning the merit badge. Scientists, Scout leaders, and Scouts felt that Scouts learned science through participation in the Boy Scout program, both in the merit badge program and also through activities, trips, outdoors, in meetings, and through rank advancement. On an open-ended questionnaire, 75.2% of Scouts reported that doing merit badges helped them do better in school. Scout leaders indicated that the overall Scouting environment introduced boys to science. Scout scientists credited Boy Scouts with providing experiences that interested and/or helped them in their scientific careers.

A quantitative systems physiology model of renal function and blood pressure regulation: Model description.

PubMed

Hallow, K M; Gebremichael, Y

2017-06-01

Renal function plays a central role in cardiovascular, kidney, and multiple other diseases, and many existing and novel therapies act through renal mechanisms. Even with decades of accumulated knowledge of renal physiology, pathophysiology, and pharmacology, the dynamics of renal function remain difficult to understand and predict, often resulting in unexpected or counterintuitive therapy responses. Quantitative systems pharmacology modeling of renal function integrates this accumulated knowledge into a quantitative framework, allowing evaluation of competing hypotheses, identification of knowledge gaps, and generation of new experimentally testable hypotheses. Here we present a model of renal physiology and control mechanisms involved in maintaining sodium and water homeostasis. This model represents the core renal physiological processes involved in many research questions in drug development. The model runs in R and the code is made available. In a companion article, we present a case study using the model to explore mechanisms and pharmacology of salt-sensitive hypertension. © 2017 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

Principals Judge Teachers by Their Teaching

ERIC Educational Resources Information Center

Nixon, Andy; Packard, Abbot; Dam, Margaret

2013-01-01

This quantitative study investigated the relationship between teacher dispositions, subject content knowledge, pedagogical content knowledge, and reasons that school principals recommend non-renewal of probationary teachers' contracts. Principals in the Southeastern Unites States completed an e-mailed survey. Two nonparametric tests,…

Effectiveness of objectivist online instruction on graduate learners' knowledge and competence

NASA Astrophysics Data System (ADS)

Maryannakis, Artemios

Online courses currently offered by aeronautical institutions are unstructured conversions of traditional courses into Web-based courses that lack the learning theory and instructional design principles framework, thus lacking the efficiency and effectiveness in dealing with the academic demands required to prepare aviation/aerospace professionals for the challenges of the technologically driven twenty-first century. The purpose of this study was to compare the effectiveness of two versions of an aeronautical online graduate course on research methods knowledge and competence: a comprehensive objectivist design and an unstructured design. Quantitative, causal comparative, quasi-experimental methodology was utilized. Using criteria derived from literature, criteria were established for the development and eventual online delivery of a comprehensive objectivist instructional design on graduate research methods learning. Results revealed that the comprehensive objectivist design was significantly more effective than its unstructured counterpart on graduate learners' competence in research methods, but found no significant difference in knowledge. It was recommended that aeronautical institutions (a) create programs with critical thinking and problem solving embedded in their curriculum for enhancing learner competence, and (b) thoroughly train every online instructor in the development and use of comprehensive online instruction.

Asteroid search program

NASA Astrophysics Data System (ADS)

This document is dedicated first to the criteria used to select a candidate asteroid. It contains the known characteristics of this asteroid as well as the assumptions made about it. It ends with a preliminary study of other possible more favorable candidates which might be found in the near future. Special attention is paid to the possible existence of Earth-Sun Trojan asteroids. Second, there is a description of the current state of our limited knowledge about the asteroids, and of the instruments and techniques being used to improve this knowledge. The contribution to asteroid research which can be expected from the new instruments already in space or due to be launched in this decade is then discussed. The last part of this document gives a description of different ways of improving our knowledge about the asteroids, both quantitatively and qualitatively. A proposal requiring reasonable financing and manpower to improve asteroid research is presented. It is believed that the implementation of such a program would have a dramatic effect on asteroid research. For example, a significant increase in both the rate of discovery of asteroids and their corresponding orbital parameters would be obtained. This program could be fully operational 3 years after its implementation.

Public stigma towards mental illness in the Greek culture.

PubMed

Tzouvara, V; Papadopoulos, C

2014-12-01

Mental illness stigma negatively affects the lives of individuals with mental health disorders. Studies have indicated that the type and degree of stigma significantly varies across cultures. This study aimed to add to this body of knowledge by examining the prevalence and the type of mental illness stigma among individuals who identified themselves as Greek. It also examined the influence of a range of potential within-culture stigma moderating factors, including levels of previous experience with mental illness and mental illness knowledge. A cross-sectional quantitative design was employed, and 111 participants living in England and Greece were sampled through the snowball sampling technique. Stigma prevalence was measured using the 'Community Attitudes to Mental Illness' questionnaire. The findings revealed that participants showed a high degree of sympathy for people with mental illness but also considered them to be inferior and of a lower social class, and needing strict societal control. Higher stigma was significantly associated with being educated in England (instead of Greece), higher religiosity, lower knowledge levels and lower levels personal experience of mental illness. Targeted antistigma campaigns specifically tailored for the Greek culture are required in order to help reduce stigmatizing attitudes. © 2014 John Wiley & Sons Ltd.

Teaching statistics in biology: using inquiry-based learning to strengthen understanding of statistical analysis in biology laboratory courses.

PubMed

Metz, Anneke M

2008-01-01

There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study.

Dynamic Personal Identity and the Dynamic Identity Grid: How Theory and Concept Can Transform Information into Knowledge and Secure the American Homeland

DTIC Science & Technology

2008-09-01

Research Methods: Qualitative and Quantitative Approaches (Boston: Pearson, 2006), 1-592. 48 This project demanded the use of a primarily...enforcement practices. 200 Neuman, Social Research Methods: Qualitative and Quantitative Approaches, 152...www.socialresearchmethods.net/kb/strucres.php (accessed July 12, 2008). 203 Neuman, Social Research Methods: Qualitative and Quantitative Approaches, 149. 204 Paul

Effects of Service-Learning on Graduate Nursing Students: Care and Advocacy for the Impoverished.

PubMed

DeBonis, Ruselle

2016-01-01

Service-learning is a widely used teaching method that appears to be a good fit for graduate nurses, with essential outcomes of advocacy and culturally responsive health care in special populations. However, quantitative evidence to support its effectiveness is minimal. This study evaluated the impact of service-learning on graduate nursing students' cultural competence, civic engagement, and knowledge and understanding of the effects of poverty on health care. Students are required to serve 16 to 20 hours in a nurse-run free clinic as part of their clinical experience. Students (N = 152) completed pre- and postservice surveys. Statistically significant increases were noted in graduate students' civic engagement (p = .0001 to .0495), knowledge and understanding of health care issues (p < .0001), and in three of six statements related to cultural competence (p = .0001 to 9.662). Patient-reported outcomes and community impact is also positive. Service-learning appears to be an effective tool with graduate nurses. Copyright 2016, SLACK Incorporated.

Galileo as an intellectual heretic and why that matters

NASA Astrophysics Data System (ADS)

Palmieri, Paolo

2014-03-01

What was physics like before Galileo? Five centuries ago physics was taught in universities all over Europe as part of a broader field of knowledge known as natural philosophy. It was neither quantitative, nor experimental, but mostly an a-priori, logical type of inquiry about principles concerning notions such as space, time, and motion, from which deductions could be made about the natural world. Galileo changed all that. He claimed that inquiry about nature should be experimental, and that reasoning in natural philosophy should be mathematical. It was a bold enough move. But Galileo's intellectual heresy was the discovery that knowledge of the natural world could only be achieved by relaxing the requirement that principles be known with absolute certainty. He demonstrated that a new mathematical physics could be built upon principles based on experiment. Thus the new physics could be extended recklessly by starting from less than certain foundations. Galileo's startling insight was that scientific truth need not be localized but can be diffused throughout the structure of science.

Situated knowledge of pathogenic landscapes in Ghana: Understanding the emergence of Buruli ulcer through qualitative analysis.

PubMed

Tschakert, Petra; Ricciardi, Vincent; Smithwick, Erica; Machado, Mario; Ferring, David; Hausermann, Heidi; Bug, Leah

2016-02-01

Successfully addressing neglected tropical diseases requires nuanced understandings of pathogenic landscapes that incorporate situated, contexualized community knowledge. In the case of Buruli ulcer (BU), the role of social science is vital to investigate complex human-environment interactions and navigate different ways of knowing. We analyze a set of qualitative data from our interdisciplinary project on BU in Ghana, drawing from participatory mapping, focus group discussions, semi-structured interviews, and open-ended survey questions to explore how people in endemic and non-endemic areas see themselves embedded in changing environmental and social landscapes. We pay particular attention to landscape disturbance through logging and small-scale alluvial gold mining. The results from our participatory research underscore the holistic nature of BU emergence in landscapes, encapsulated in partial and incomplete local descriptions, the relevance of collective learning to distill complexity, and the potential of rich qualitative data to inform quantitative landscape-disease models. Copyright © 2015 Elsevier Ltd. All rights reserved.

Is Pedagogical Content Knowledge (PCK) Necessary for Reformed Science Teaching?: Evidence from an Empirical Study

ERIC Educational Resources Information Center

Park, Soonhye; Jang, Jeong-Yoon; Chen, Ying-Chih; Jung, Jinhong

2011-01-01

This study tested a hypothesis that focused on whether or not teachers' pedagogical content knowledge (PCK) is a necessary body of knowledge for reformed science teaching. This study utilized a quantitative research method to investigate the correlation between a teacher's PCK level as measured by the PCK rubric (Park et al. 2008) and the degree…

Epistemic Beliefs of Middle and High School Students in a Problem-Based, Scientific Inquiry Unit: An Exploratory, Mixed Methods Study

ERIC Educational Resources Information Center

Gu, Jiangyue

2016-01-01

Epistemic beliefs are individuals' beliefs about the nature of knowledge, how knowledge is constructed, and how knowledge can be justified. This study employed a mixed-methods approach to examine: (a) middle and high school students' self-reported epistemic beliefs (quantitative) and epistemic beliefs revealed from practice (qualitative) during a…

Putting TPACK on the Radar: A Visual Quantitative Model for Tracking Growth of Essential Teacher Knowledge

ERIC Educational Resources Information Center

Colvin, Julien C.; Tomayko, Ming C.

2015-01-01

Since Mishra and Koehler's (2006) description of technological pedagogical content knowledge (also known as TPACK), scholars have analyzed the various paths preservice and in-service teachers can take to develop their knowledge in each of the subdomains. However, the model of the overall framework can be confusing to teachers, as Venn diagrams are…

Profile of Knowledge Management, Basic Sanitation and Attitudes towards Clean and Health Community in Kupang City

ERIC Educational Resources Information Center

Nikmah; Ardi, Muhammad; Yahya, Mohamad; Upa, Muhamad D. Pua; Dirawan, Gufran Darma

2017-01-01

The objective of research is to describe the knowledge and attitude of basic sanitation management community in Kupang City. This type of research is a survey research using quantitative approach. Data were collected by using the instrument in the form of test knowledge of basic sanitation management and attitude questionnaire. The data was then…

A hierarchical modeling methodology for the definition and selection of requirements

NASA Astrophysics Data System (ADS)

Dufresne, Stephane

This dissertation describes the development of a requirements analysis methodology that takes into account the concept of operations and the hierarchical decomposition of aerospace systems. At the core of the methodology, the Analytic Network Process (ANP) is used to ensure the traceability between the qualitative and quantitative information present in the hierarchical model. The proposed methodology is implemented to the requirements definition of a hurricane tracker Unmanned Aerial Vehicle. Three research objectives are identified in this work; (1) improve the requirements mapping process by matching the stakeholder expectations with the concept of operations, systems and available resources; (2) reduce the epistemic uncertainty surrounding the requirements and requirements mapping; and (3) improve the requirements down-selection process by taking into account the level of importance of the criteria and the available resources. Several challenges are associated with the identification and definition of requirements. The complexity of the system implies that a large number of requirements are needed to define the systems. These requirements are defined early in the conceptual design, where the level of knowledge is relatively low and the level of uncertainty is large. The proposed methodology intends to increase the level of knowledge and reduce the level of uncertainty by guiding the design team through a structured process. To address these challenges, a new methodology is created to flow-down the requirements from the stakeholder expectations to the systems alternatives. A taxonomy of requirements is created to classify the information gathered during the problem definition. Subsequently, the operational and systems functions and measures of effectiveness are integrated to a hierarchical model to allow the traceability of the information. Monte Carlo methods are used to evaluate the variations of the hierarchical model elements and consequently reduce the epistemic uncertainty. The proposed methodology is applied to the design of a hurricane tracker Unmanned Aerial Vehicles to demonstrate the origin and impact of requirements on the concept of operations and systems alternatives. This research demonstrates that the hierarchical modeling methodology provides a traceable flow-down of the requirements from the problem definition to the systems alternatives phases of conceptual design.

Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score

NASA Astrophysics Data System (ADS)

Khan, Adnan Mujahid; Yuan, Yinyin

2016-11-01

The number of tumour biopsies required for a good representation of tumours has been controversial. An important factor to consider is intra-tumour heterogeneity, which can vary among cancer types and subtypes. Immune cells in particular often display complex infiltrative patterns, however, there is a lack of quantitative understanding of the spatial heterogeneity of immune cells and how this fundamental biological nature of human tumours influences biopsy variability and treatment resistance. We systematically investigate biopsy variability for the lymphocytic infiltrate in 998 breast tumours using a novel virtual biopsy method. Across all breast cancers, we observe a nonlinear increase in concordance between the biopsy and whole-tumour score of lymphocytic infiltrate with increasing number of biopsies, yet little improvement is gained with more than four biopsies. Interestingly, biopsy variability of lymphocytic infiltrate differs considerably among breast cancer subtypes, with the human epidermal growth factor receptor 2-positive (HER2+) subtype having the highest variability. We subsequently identify a quantitative measure of spatial variability that predicts disease-specific survival in HER2+ subtype independent of standard clinical variables (node status, tumour size and grade). Our study demonstrates how systematic methods provide new insights that can influence future study design based on a quantitative knowledge of tumour heterogeneity.

Quantitative Assessment of Thermodynamic Constraints on the Solution Space of Genome-Scale Metabolic Models

PubMed Central

Hamilton, Joshua J.; Dwivedi, Vivek; Reed, Jennifer L.

2013-01-01

Constraint-based methods provide powerful computational techniques to allow understanding and prediction of cellular behavior. These methods rely on physiochemical constraints to eliminate infeasible behaviors from the space of available behaviors. One such constraint is thermodynamic feasibility, the requirement that intracellular flux distributions obey the laws of thermodynamics. The past decade has seen several constraint-based methods that interpret this constraint in different ways, including those that are limited to small networks, rely on predefined reaction directions, and/or neglect the relationship between reaction free energies and metabolite concentrations. In this work, we utilize one such approach, thermodynamics-based metabolic flux analysis (TMFA), to make genome-scale, quantitative predictions about metabolite concentrations and reaction free energies in the absence of prior knowledge of reaction directions, while accounting for uncertainties in thermodynamic estimates. We applied TMFA to a genome-scale network reconstruction of Escherichia coli and examined the effect of thermodynamic constraints on the flux space. We also assessed the predictive performance of TMFA against gene essentiality and quantitative metabolomics data, under both aerobic and anaerobic, and optimal and suboptimal growth conditions. Based on these results, we propose that TMFA is a useful tool for validating phenotypes and generating hypotheses, and that additional types of data and constraints can improve predictions of metabolite concentrations. PMID:23870272

Characteristics of nuclepore filters with large pore size—I. Physical properties

NASA Astrophysics Data System (ADS)

John, W.; Hering, S.; Reischl, G.; Sasaki, G.; Goren, S.

Measurements of pore diameter, pore density and filter thickness have been made on Nuclepore filters of 5, 8 and 12 μm pore size. The areal distribution of the pores is random, as verified by total hole counts and by counts of overlapping holes. Filter thicknesses decrease with increasing pore diameter. The Hagen-Poiseuille formula accounts for less than half of the measured pressure drop across 12 μm pore size filters. A new calculation, including a term for the pressure drop external to the filter, accounts quantitatively for the observations. There are sufficient variations among filter batches to require knowledge of the filter parameters for each batch to ensure accurate measurements using these filters.

Epithelial Patterning, Morphogenesis, and Evolution: Drosophila Eggshell as a Model.

PubMed

Osterfield, Miriam; Berg, Celeste A; Shvartsman, Stanislav Y

2017-05-22

Understanding the mechanisms driving tissue and organ formation requires knowledge across scales. How do signaling pathways specify distinct tissue types? How does the patterning system control morphogenesis? How do these processes evolve? The Drosophila egg chamber, where EGF and BMP signaling intersect to specify unique cell types that construct epithelial tubes for specialized eggshell structures, has provided a tractable system to ask these questions. Work there has elucidated connections between scales of development, including across evolutionary scales, and fostered the development of quantitative modeling tools. These tools and general principles can be applied to the understanding of other developmental processes across organisms. Copyright © 2017 Elsevier Inc. All rights reserved.

A Bayesian network approach to knowledge integration and representation of farm irrigation: 1. Model development

NASA Astrophysics Data System (ADS)

Wang, Q. J.; Robertson, D. E.; Haines, C. L.

2009-02-01

Irrigation is important to many agricultural businesses but also has implications for catchment health. A considerable body of knowledge exists on how irrigation management affects farm business and catchment health. However, this knowledge is fragmentary; is available in many forms such as qualitative and quantitative; is dispersed in scientific literature, technical reports, and the minds of individuals; and is of varying degrees of certainty. Bayesian networks allow the integration of dispersed knowledge into quantitative systems models. This study describes the development, validation, and application of a Bayesian network model of farm irrigation in the Shepparton Irrigation Region of northern Victoria, Australia. In this first paper we describe the process used to integrate a range of sources of knowledge to develop a model of farm irrigation. We describe the principal model components and summarize the reaction to the model and its development process by local stakeholders. Subsequent papers in this series describe model validation and the application of the model to assess the regional impact of historical and future management intervention.

Geoscience data visualization and analysis using GeoMapApp

NASA Astrophysics Data System (ADS)

Ferrini, Vicki; Carbotte, Suzanne; Ryan, William; Chan, Samantha

2013-04-01

Increased availability of geoscience data resources has resulted in new opportunities for developing visualization and analysis tools that not only promote data integration and synthesis, but also facilitate quantitative cross-disciplinary access to data. Interdisciplinary investigations, in particular, frequently require visualizations and quantitative access to specialized data resources across disciplines, which has historically required specialist knowledge of data formats and software tools. GeoMapApp (www.geomapapp.org) is a free online data visualization and analysis tool that provides direct quantitative access to a wide variety of geoscience data for a broad international interdisciplinary user community. While GeoMapApp provides access to online data resources, it can also be packaged to work offline through the deployment of a small portable hard drive. This mode of operation can be particularly useful during field programs to provide functionality and direct access to data when a network connection is not possible. Hundreds of data sets from a variety of repositories are directly accessible in GeoMapApp, without the need for the user to understand the specifics of file formats or data reduction procedures. Available data include global and regional gridded data, images, as well as tabular and vector datasets. In addition to basic visualization and data discovery functionality, users are provided with simple tools for creating customized maps and visualizations and to quantitatively interrogate data. Specialized data portals with advanced functionality are also provided for power users to further analyze data resources and access underlying component datasets. Users may import and analyze their own geospatial datasets by loading local versions of geospatial data and can access content made available through Web Feature Services (WFS) and Web Map Services (WMS). Once data are loaded in GeoMapApp, a variety options are provided to export data and/or 2D/3D visualizations into common formats including grids, images, text files, spreadsheets, etc. Examples of interdisciplinary investigations that make use of GeoMapApp visualization and analysis functionality will be provided.

Patient and Healthcare Provider Barriers to Hypertension Awareness, Treatment and Follow Up: A Systematic Review and Meta-Analysis of Qualitative and Quantitative Studies

PubMed Central

Khatib, Rasha; Schwalm, Jon-David; Yusuf, Salim; Haynes, R. Brian; McKee, Martin; Khan, Maheer; Nieuwlaat, Robby

2014-01-01

Background Although the importance of detecting, treating, and controlling hypertension has been recognized for decades, the majority of patients with hypertension remain uncontrolled. The path from evidence to practice contains many potential barriers, but their role has not been reviewed systematically. This review aimed to synthesize and identify important barriers to hypertension control as reported by patients and healthcare providers. Methods Electronic databases MEDLINE, EMBASE and Global Health were searched systematically up to February 2013. Two reviewers independently selected eligible studies. Two reviewers categorized barriers based on a theoretical framework of behavior change. The theoretical framework suggests that a change in behavior requires a strong commitment to change [intention], the necessary skills and abilities to adopt the behavior [capability], and an absence of health system and support constraints. Findings Twenty-five qualitative studies and 44 quantitative studies met the inclusion criteria. In qualitative studies, health system barriers were most commonly discussed in studies of patients and health care providers. Quantitative studies identified disagreement with clinical recommendations as the most common barrier among health care providers. Quantitative studies of patients yielded different results: lack of knowledge was the most common barrier to hypertension awareness. Stress, anxiety and depression were most commonly reported as barriers that hindered or delayed adoption of a healthier lifestyle. In terms of hypertension treatment adherence, patients mostly reported forgetting to take their medication. Finally, priority setting barriers were most commonly reported by patients in terms of following up with their health care providers. Conclusions This review identified a wide range of barriers facing patients and health care providers pursuing hypertension control, indicating the need for targeted multi-faceted interventions. More methodologically rigorous studies that encompass the range of barriers and that include low- and middle-income countries are required in order to inform policies to improve hypertension control. PMID:24454721

Cancer and the LGBTQ Population: Quantitative and Qualitative Results from an Oncology Providers’ Survey on Knowledge, Attitudes, and Practice Behaviors

PubMed Central

Tamargo, Christina L.; Sanchez, Julian A.

2017-01-01

Background: Despite growing social acceptance, the LGBTQ population continues to face barriers to healthcare including fear of stigmatization by healthcare providers, and providers’ lack of knowledge about LGBTQ-specific health issues. This analysis focuses on the assessment of quantitative and qualitative responses from a subset of providers who identified as specialists that treat one or more of the seven cancers that may be disproportionate in LGBTQ patients. Methods: A 32-item web-based survey was emailed to 388 oncology providers at a single institution. The survey assessed: demographics, knowledge, attitudes, and practice behaviors. Results: Oncology providers specializing in seven cancer types had poor knowledge of LGBTQ-specific health needs, with fewer than half of the surveyed providers (49.5%) correctly answering knowledge questions. Most providers had overall positive attitudes toward LGBTQ patients, with 91.7% agreeing they would be comfortable treating this population, and would support education and/or training on LGBTQ-related cancer health issues. Conclusion: Results suggest that despite generally positive attitudes toward the LGBTQ population, oncology providers who treat cancer types most prevalent among the population, lack knowledge of their unique health issues. Knowledge and practice behaviors may improve with enhanced education and training on this population’s specific needs. PMID:28991160

Cancer and the LGBTQ Population: Quantitative and Qualitative Results from an Oncology Providers' Survey on Knowledge, Attitudes, and Practice Behaviors.

PubMed

Tamargo, Christina L; Quinn, Gwendolyn P; Sanchez, Julian A; Schabath, Matthew B

2017-10-07

Despite growing social acceptance, the LGBTQ population continues to face barriers to healthcare including fear of stigmatization by healthcare providers, and providers' lack of knowledge about LGBTQ-specific health issues. This analysis focuses on the assessment of quantitative and qualitative responses from a subset of providers who identified as specialists that treat one or more of the seven cancers that may be disproportionate in LGBTQ patients. A 32-item web-based survey was emailed to 388 oncology providers at a single institution. The survey assessed: demographics, knowledge, attitudes, and practice behaviors. Oncology providers specializing in seven cancer types had poor knowledge of LGBTQ-specific health needs, with fewer than half of the surveyed providers (49.5%) correctly answering knowledge questions. Most providers had overall positive attitudes toward LGBTQ patients, with 91.7% agreeing they would be comfortable treating this population, and would support education and/or training on LGBTQ-related cancer health issues. Results suggest that despite generally positive attitudes toward the LGBTQ population, oncology providers who treat cancer types most prevalent among the population, lack knowledge of their unique health issues. Knowledge and practice behaviors may improve with enhanced education and training on this population's specific needs.

[The White Paper of the health professions of Catalonia].

PubMed

Pomés, Xavier; Oriol, Albert; de Oleza, Rafael; Ania, Olinda; Avila, Alicia; Branda, Luis; Brugulat, Pilar; Gual, Arcadi; Creus, Mariona; Zurro, Amando Martin

2003-01-01

The White Paper of the Health Professions of Catalonia (WPHPC) is a strategic document for the development of the health professions. It deals with the main components of the manpower development (education, management and planning) in relation to the health services development required to attain the objectives defined in the Catalan Health Plan. The WPHPC fosters the coherence between social needs and professional competencies required to respond to them, as well as to the quantitative aspects of service needs under adequate standards of quality, effectiveness and efficiency. The WPHPC has followed a methodological process with maximum stakeholder participation and transparency. Citizens, professionals and health organizations have contributed significantly. The conclusions and recommendations of the WPHPC are organized around four axis: the citizenship, the professionals, the health care organizations and the health care model. Key elements are: the requirement of a new social contract between the different stakeholders, the values of professionalism, the need for a new credentialism of professional competencies, innovation in the education process, innovation of governance and management for organization of knowledge, the redistribution of work inside teams requires deregulation and reregulation of the professions, the need for actualized data on workforce and job positions and the permanent requirement of sociological research.

Exploring knowledge exchange: a useful framework for practice and policy.

PubMed

Ward, Vicky; Smith, Simon; House, Allan; Hamer, Susan

2012-02-01

Knowledge translation is underpinned by a dynamic and social knowledge exchange process but there are few descriptions of how this unfolds in practice settings. This has hampered attempts to produce realistic and useful models to help policymakers and researchers understand how knowledge exchange works. This paper reports the results of research which investigated the nature of knowledge exchange. We aimed to understand whether dynamic and fluid definitions of knowledge exchange are valid and to produce a realistic, descriptive framework of knowledge exchange. Our research was informed by a realist approach. We embedded a knowledge broker within three service delivery teams across a mental health organisation in the UK, each of whom was grappling with specific challenges. The knowledge broker participated in the team's problem-solving process and collected observational fieldnotes. We also interviewed the team members. Observational and interview data were analysed quantitatively and qualitatively in order to determine and describe the nature of the knowledge exchange process in more detail. This enabled us to refine our conceptual framework of knowledge exchange. We found that knowledge exchange can be understood as a dynamic and fluid process which incorporates distinct forms of knowledge from multiple sources. Quantitative analysis illustrated that five broadly-defined components of knowledge exchange (problem, context, knowledge, activities, use) can all be in play at any one time and do not occur in a set order. Qualitative analysis revealed a number of distinct themes which better described the nature of knowledge exchange. By shedding light on the nature of knowledge exchange, our findings problematise some of the linear, technicist approaches to knowledge translation. The revised model of knowledge exchange which we propose here could therefore help to reorient thinking about knowledge exchange and act as a starting point for further exploration and evaluation of the knowledge exchange process. Copyright © 2011 Elsevier Ltd. All rights reserved.

Metabolomics: building on a century of biochemistry to guide human health

PubMed Central

German, J. Bruce; Hammock, Bruce D.; Watkins, Steven M.

2006-01-01

Medical diagnosis and treatment efficacy will improve significantly when a more personalized system for health assessment is implemented. This system will require diagnostics that provide sufficiently detailed information about the metabolic status of individuals such that assay results will be able to guide food, drug and lifestyle choices to maintain or improve distinct aspects of health without compromising others. Achieving this goal will use the new science of metabolomics – comprehensive metabolic profiling of individuals linked to the biological understanding of human integrative metabolism. Candidate technologies to accomplish this goal are largely available, yet they have not been brought into practice for this purpose. Metabolomic technologies must be sufficiently rapid, accurate and affordable to be routinely accessible to both healthy and acutely ill individuals. The use of metabolomic data to predict the health trajectories of individuals will require bioinformatic tools and quantitative reference databases. These databases containing metabolite profiles from the population must be built, stored and indexed according to metabolic and health status. Building and annotating these databases with the knowledge to predict how a specific metabolic pattern from an individual can be adjusted with diet, drugs and lifestyle to improve health represents a logical application of the biochemistry knowledge that the life sciences have produced over the past 100 years. PMID:16680201

In vivo confocal microscopy of the cornea: New developments in image acquisition, reconstruction and analysis using the HRT-Rostock Corneal Module

PubMed Central

Petroll, W. Matthew; Robertson, Danielle M.

2015-01-01

The optical sectioning ability of confocal microscopy allows high magnification images to be obtained from different depths within a thick tissue specimen, and is thus ideally suited to the study of intact tissue in living subjects. In vivo confocal microscopy has been used in a variety of corneal research and clinical applications since its development over 25 years ago. In this article we review the latest developments in quantitative corneal imaging with the Heidelberg Retinal Tomograph with Rostock Corneal Module (HRT-RCM). We provide an overview of the unique strengths and weaknesses of the HRT-RCM. We discuss techniques for performing 3-D imaging with the HRT-RCM, including hardware and software modifications that allow full thickness confocal microscopy through focusing (CMTF) of the cornea, which can provide quantitative measurements of corneal sublayer thicknesses, stromal cell and extracellular matrix backscatter, and depth dependent changes in corneal keratocyte density. We also review current approaches for quantitative imaging of the subbasal nerve plexus, which require a combination of advanced image acquisition and analysis procedures, including wide field mapping and 3-D reconstruction of nerve structures. The development of new hardware, software, and acquisition techniques continues to expand the number of applications of the HRT-RCM for quantitative in vivo corneal imaging at the cellular level. Knowledge of these rapidly evolving strategies should benefit corneal clinicians and basic scientists alike. PMID:25998608

Knowledge-based versus experimentally acquired distance and angle constraints for NMR structure refinement.

PubMed

Cui, Feng; Jernigan, Robert; Wu, Zhijun

2008-04-01

Nuclear Overhauser effects (NOE) distance constraints and torsion angle constraints are major conformational constraints for nuclear magnetic resonance (NMR) structure refinement. In particular, the number of NOE constraints has been considered as an important determinant for the quality of NMR structures. Of course, the availability of torsion angle constraints is also critical for the formation of correct local conformations. In our recent work, we have shown how a set of knowledge-based short-range distance constraints can also be utilized for NMR structure refinement, as a complementary set of conformational constraints to the NOE and torsion angle constraints. In this paper, we show the results from a series of structure refinement experiments by using different types of conformational constraints--NOE, torsion angle, or knowledge-based constraints--or their combinations, and make a quantitative assessment on how the experimentally acquired constraints contribute to the quality of structural models and whether or not they can be combined with or substituted by the knowledge-based constraints. We have carried out the experiments on a small set of NMR structures. Our preliminary calculations have revealed that the torsion angle constraints contribute substantially to the quality of the structures, but require to be combined with the NOE constraints to be fully effective. The knowledge-based constraints can be functionally as crucial as the torsion angle constraints, although they are statistical constraints after all and are not meant to be able to replace the latter.

Relationships between Fractional Knowledge and Algebraic Reasoning: The Case of Willa

ERIC Educational Resources Information Center

Lee, Mi Yeon; Hackenberg, Amy J.

2014-01-01

To investigate relationships between students' quantitative reasoning with fractions and their algebraic reasoning, a clinical interview study was conducted with 18 middle and high school students. The students were interviewed twice, once to explore their quantitative reasoning with fractions and once to explore their solutions of problems…

Quantitative Experiments to Explain the Change of Seasons

ERIC Educational Resources Information Center

Testa, Italo; Busarello, Gianni; Puddu, Emanuella; Leccia, Silvio; Merluzzi, Paola; Colantonio, Arturo; Moretti, Maria Ida; Galano, Silvia; Zappia, Alessandro

2015-01-01

The science education literature shows that students have difficulty understanding what causes the seasons. Incorrect explanations are often due to a lack of knowledge about the physical mechanisms underlying this phenomenon. To address this, we present a module in which the students engage in quantitative measurements with a photovoltaic panel to…

Filling the knowledge gap: Integrating quantitative genetics and genomics in graduate education and outreach

USDA-ARS?s Scientific Manuscript database

The genomics revolution provides vital tools to address global food security. Yet to be incorporated into livestock breeding, molecular techniques need to be integrated into a quantitative genetics framework. Within the U.S., with shrinking faculty numbers with the requisite skills, the capacity to ...

OMICS DATA IN THE QUALITATIVE AND QUANTITATIVE CHARACTERIZATION OF THE MODE OF ACTION IN SUPPORT OF IRIS ASSESSMENTS

EPA Science Inventory

Knowledge and information generated using new tools/methods collectively called "Omics" technologies could have a profound effect on qualitative and quantitative characterizations of human health risk assessments.

The suffix "Omics" is a descriptor used for a series of e...

Quantitative Methodology: A Guide for Emerging Physical Education and Adapted Physical Education Researchers

ERIC Educational Resources Information Center

Haegele, Justin A.; Hodge, Samuel R.

2015-01-01

Emerging professionals, particularly senior-level undergraduate and graduate students in kinesiology who have an interest in physical education for individuals with and without disabilities, should understand the basic assumptions of the quantitative research paradigm. Knowledge of basic assumptions is critical for conducting, analyzing, and…

Creating Research-Rich Learning Experiences and Quantitative Skills in a 1st Year Earth Systems Course

NASA Astrophysics Data System (ADS)

King, P. L.; Eggins, S.; Jones, S.

2014-12-01

We are creating a 1st year Earth Systems course at the Australian National University that is built around research-rich learning experiences and quantitative skills. The course has top students including ≤20% indigenous/foreign students; nonetheless, students' backgrounds in math and science vary considerably posing challenges for learning. We are addressing this issue and aiming to improve knowledge retention and deep learning by changing our teaching approach. In 2013-2014, we modified the weekly course structure to a 1hr lecture; a 2hr workshop with hands-on activities; a 2hr lab; an assessment piece covering all face-to-face activities; and a 1hr tutorial. Our new approach was aimed at: 1) building student confidence with data analysis and quantitative skills through increasingly difficult tasks in science, math, physics, chemistry, climate science and biology; 2) creating effective learning groups using name tags and a classroom with 8-person tiered tables; 3) requiring students to apply new knowledge to new situations in group activities, two 1-day field trips and assessment items; 4) using pre-lab and pre-workshop exercises to promote prior engagement with key concepts; 5) adding open-ended experiments to foster structured 'scientific play' or enquiry and creativity; and 6) aligning the assessment with the learning outcomes and ensuring that it contains authentic and challenging southern hemisphere problems. Students were asked to design their own ocean current experiment in the lab and we were astounded by their ingenuity: they simulated the ocean currents off Antarctica; varied water density to verify an equation; and examined the effect of wind and seafloor topography on currents. To evaluate changes in student learning, we conducted surveys in 2013 and 2014. In 2014, we found higher levels of student engagement with the course: >~80% attendance rates and >~70% satisfaction (20% neutral). The 2014 cohort felt that they were more competent in writing and data analysis skills, working quantitatively using spreadsheets; deriving equations to describe nature; using the scientific method; and research processes. Assessment strategies are challenging and we plan to test a grading approach based on the "three Cs": content, correctness and creativity.

A broader understanding of care managers' attitudes of advance care planning: a concurrent nested design.

PubMed

Aultman, Julie; Baughman, Kristin R; Ludwick, Ruth

2018-05-18

To examine barriers of advance care planning (ACP) experienced by care managers (CMs) through a mixed methods approach. A concurrent nested design was used to acquire a deeper understanding of ACP, and to identify nuances between quantitative and qualitative data. Past quantitative studies on providers have identified barriers related to time, culture, knowledge, responsibility, and availability of legal documents. These barriers, and accompanying attitudes and feelings, have been taken at face value without rich qualitative data to identify under what conditions and to what extent a barrier impacts care. A two-part multisite, mixed methods study was conducted using surveys and focus groups. Surveys were completed by 458 CMs at 10 Area Agencies on Aging and 62 participated in one of 8 focus groups. Data were analyzed using a concurrent nested design with individual data analysis and a merged data approach. There were three main distinctions between the quantitative and qualitative data. First, while CMs reported on the survey that ACP was not too time consuming, focus group data revealed that time was an issue especially related to competing priorities. Second on the survey 60% of the CMS reported they had enough knowledge, but qualitative data revealed about more nuances. Last, the reported comfort levels in the quantitative data were less overt in the qualitative date where additional feelings and attitudes were revealed, e.g., frustration with families, preferences for more physician involvement. CMs reported their attitudes about ACP, clarified through a rigorous mixed methods analysis. Care managers can successfully lead ACP discussions, but require further education, resources, and team-based guidance. ACP is essential for reducing emotional, social, and financial burdens associated with health care decision-making, and CMs can positively impact ACP discussions when appropriately supported by the clinical community. The many nuances in the ACP process that we found illustrate the need for ongoing discussions, education and research on this important topic. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Theory and ontology for sharing temporal knowledge

NASA Technical Reports Server (NTRS)

Loganantharaj, Rasiah

1996-01-01

Using current technology, the sharing or re-using of knowledge-bases is very difficult, if not impossible. ARPA has correctly recognized the problem and funded a knowledge sharing initiative. One of the outcomes of this project is a formal language called Knowledge Interchange Format (KIF) for representing knowledge that could be translated into other languages. Capturing and representing design knowledge and reasoning with them have become very important for NASA who is a pioneer of innovative design of unique products. For upgrading an existing design for changing technology, needs, or requirements, it is essential to understand the design rationale, design choices, options and other relevant information associated with the design. Capturing such information and presenting them in the appropriate form are part of the ongoing Design Knowledge Capture project of NASA. The behavior of an object and various other aspects related to time are captured by the appropriate temporal knowledge. The captured design knowledge will be represented in such a way that various groups of NASA who are interested in various aspects of the design cycle should be able to access and use the design knowledge effectively. To facilitate knowledge sharing among these groups, one has to develop a very well defined ontology. Ontology is a specification of conceptualization. In the literature several specific domains were studied and some well defined ontologies were developed for such domains. However, very little, or no work has been done in the area of representing temporal knowledge to facilitate sharing. During the ASEE summer program, I have investigated several temporal models and have proposed a theory for time that is flexible to accommodate the time elements, such as, points and intervals, and is capable of handling the qualitative and quantitative temporal constraints. I have also proposed a primitive temporal ontology using which other relevant temporal ontologies can be built. I have investigated various issues of sharing knowledge and have proposed a formal framework for modeling the concept of knowledge sharing. This work may be implemented and tested in the software environment supplied by Knowledge Based System, Inc.

Undergraduate interprofessional education using high-fidelity paediatric simulation.

PubMed

Stewart, Moira; Kennedy, Neil; Cuene-Grandidier, Hazel

2010-06-01

High-fidelity simulation is becoming increasingly important in the delivery of teaching and learning to health care professionals within a safe environment. Its use in an interprofessional context and at undergraduate level has the potential to facilitate the learning of good communication and teamworking, in addition to clinical knowledge and skills. Interprofessional teaching and learning workshops using high-fidelity paediatric simulation were developed and delivered to undergraduate medical and nursing students at Queen's University Belfast. Learning outcomes common to both professions, and essential in the clinical management of sick children, included basic competencies, communication and teamworking skills. Quantitative and qualitative evaluation was undertaken using published questionnaires. Quantitative results - the 32-item questionnaire was analysed for reliability using spss. Responses were positive for both groups of students across four domains - acquisition of knowledge and skills, communication and teamworking, professional identity and role awareness, and attitudes to shared learning. Qualitative results - thematic content analysis was used to analyse open-ended responses. Students from both groups commented that an interprofessional education (IPE) approach to paediatric simulation improved clinical and practice-based skills, and provided a safe learning environment. Students commented that there should be more interprofessional and simulation learning opportunities. High-fidelity paediatric simulation, used in an interprofessional context, has the potential to meet the requirements of undergraduate medical and nursing curricula. Further research is needed into the long-term benefits for patient care, and its generalisability to other areas within health care teaching and learning. © Blackwell Publishing Ltd 2010.

Developing medical educators – a mixed method evaluation of a teaching education program

PubMed Central

Roos, Marco; Kadmon, Martina; Kirschfink, Michael; Koch, Eginhard; Jünger, Jana; Strittmatter-Haubold, Veronika; Steiner, Thorsten

2014-01-01

Background It is well accepted that medical faculty teaching staff require an understanding of educational theory and pedagogical methods for effective medical teaching. The purpose of this study was to evaluate the effectiveness of a 5-day teaching education program. Methods An open prospective interventional study using quantitative and qualitative instruments was performed, covering all four levels of the Kirkpatrick model: Evaluation of 1) ‘Reaction’ on a professional and emotional level using standardized questionnaires; 2) ‘Learning’ applying a multiple choice test; 3) ‘Behavior’ by self-, peer-, and expert assessment of teaching sessions with semistructured interviews; and 4) ‘Results’ from student evaluations. Results Our data indicate the success of the educational intervention at all observed levels. 1) Reaction: The participants showed a high acceptance of the instructional content. 2) Learning: There was a significant increase in knowledge (P<0.001) as deduced from a pre-post multiple-choice questionnaire, which was retained at 6 months (P<0.001). 3) Behavior: Peer-, self-, and expert-assessment indicated a transfer of learning into teaching performance. Semistructured interviews reflected a higher level of professionalism in medical teaching by the participants. 4) Results: Teaching performance ratings improved in students’ evaluations. Conclusions Our results demonstrate the success of a 5-day education program in embedding knowledge and skills to improve performance of medical educators. This multimethodological approach, using both qualitative and quantitative measures, may serve as a model to evaluate effectiveness of comparable interventions in other settings. PMID:24679671

Further evaluation of quantitative structure--activity relationship models for the prediction of the skin sensitization potency of selected fragrance allergens.

PubMed

Patlewicz, Grace Y; Basketter, David A; Pease, Camilla K Smith; Wilson, Karen; Wright, Zoe M; Roberts, David W; Bernard, Guillaume; Arnau, Elena Giménez; Lepoittevin, Jean-Pierre

2004-02-01

Fragrance substances represent a very diverse group of chemicals; a proportion of them are associated with the ability to cause allergic reactions in the skin. Efforts to find substitute materials are hindered by the need to undertake animal testing for determining both skin sensitization hazard and potency. One strategy to avoid such testing is through an understanding of the relationships between chemical structure and skin sensitization, so-called structure-activity relationships. In recent work, we evaluated 2 groups of fragrance chemicals -- saturated aldehydes and alpha,beta-unsaturated aldehydes. Simple quantitative structure-activity relationship (QSAR) models relating the EC3 values [derived from the local lymph node assay (LLNA)] to physicochemical properties were developed for both sets of aldehydes. In the current study, we evaluated an additional group of carbonyl-containing compounds to test the predictive power of the developed QSARs and to extend their scope. The QSAR models were used to predict EC3 values of 10 newly selected compounds. Local lymph node assay data generated for these compounds demonstrated that the original QSARs were fairly accurate, but still required improvement. Development of these QSAR models has provided us with a better understanding of the potential mechanisms of action for aldehydes, and hence how to avoid or limit allergy. Knowledge generated from this work is being incorporated into new/improved rules for sensitization in the expert toxicity prediction system, deductive estimation of risk from existing knowledge (DEREK).

Anticipatory Understanding of Adversary Intent: A Signature-Based Knowledge System

DTIC Science & Technology

2009-06-01

concept of logical positivism has been applied more recently to all human knowledge and reflected in current data fusion research, information mining...this work has been successfully translated into useful analytical tools that can provide a rigorous and quantitative basis for predictive analysis

South Dakota Middle School Mathematics Teachers' Perceptions of Teaching Competencies

ERIC Educational Resources Information Center

Bleecker, Heather A.

2017-01-01

This quantitative research study investigates South Dakota middle school (grades 5-8) mathematics teachers' perceptions of teaching competencies including general pedagogical knowledge (GPK) and mathematical pedagogical content knowledge (MPCK). The study also considered how teacher characteristics relate to teacher competencies. The study…

A multi-agent intelligent environment for medical knowledge.

PubMed

Vicari, Rosa M; Flores, Cecilia D; Silvestre, André M; Seixas, Louise J; Ladeira, Marcelo; Coelho, Helder

2003-03-01

AMPLIA is a multi-agent intelligent learning environment designed to support training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area. It is a system that deals with uncertainty under the Bayesian network approach, where learner-modelling tasks will consist of creating a Bayesian network for a problem the system will present. The construction of a network involves qualitative and quantitative aspects. The qualitative part concerns the network topology, that is, causal relations among the domain variables. After it is ready, the quantitative part is specified. It is composed of the distribution of conditional probability of the variables represented. A negotiation process (managed by an intelligent MediatorAgent) will treat the differences of topology and probability distribution between the model the learner built and the one built-in in the system. That negotiation process occurs between the agents that represent the expert knowledge domain (DomainAgent) and the agent that represents the learner knowledge (LearnerAgent).

Cognitive learning during surgical residency. A model for curriculum evaluation.

PubMed

Rhodes, R S; Wile, M Z; Persons, M L; Shuck, J M

1987-02-01

The program summary of the American Board of Surgery In-Service Training Exam (ABSITE) can be used to quantitate cognitive learning during a surgical residency and to identify areas of curricular weakness in a residency program. Knowledge on each question is categorized as high (known) or low (unknown) depending on the percentage of residents who answered correctly. Knowledge of Level 1 (entry) residents is then compared with Level 5 (exit) residents. Each ABSITE question can thus be categorized on entry versus exit as known-known, unknown-unknown, unknown-known, and known-unknown. Only about half of unknown knowledge on entry appears to become known on exit. Very little knowledge known on entry becomes unknown on exit. Weaknesses in specific subject areas can be readily identified by ranking questions according to the number of exiting residents who answer incorrectly. Use of this technique to quantitate cognitive learning in a residency program may allow objective assessment of changes in curriculum.

Knowledge gaps in host-parasite interaction preclude accurate assessment of meat-borne exposure to Toxoplasma gondii.

PubMed

Crotta, M; Limon, G; Blake, D P; Guitian, J

2017-11-16

Toxoplasma gondii is recognized as a widely prevalent zoonotic parasite worldwide. Although several studies clearly identified meat products as an important source of T. gondii infections in humans, quantitative understanding of the risk posed to humans through the food chain is surprisingly scant. While probabilistic risk assessments for pathogens such as Campylobacter jejuni, Listeria monocytogenes or Escherichia coli have been well established, attempts to quantify the probability of human exposure to T. gondii through consumption of food products of animal origin are at early stages. The biological complexity of the life cycle of T. gondii and limited understanding of several fundamental aspects of the host/parasite interaction, require the adoption of numerous critical assumptions and significant simplifications. In this study, we present a hypothetical quantitative model for the assessment of human exposure to T. gondii through meat products. The model has been conceptualized to capture the dynamics leading to the presence of parasite in meat and, for illustrative purposes, used to estimate the probability of at least one viable cyst occurring in 100g of fresh pork meat in England. Available data, including the results of a serological survey in pigs raised in England were used as a starting point to implement a probabilistic model and assess the fate of the parasite along the food chain. Uncertainty distributions were included to describe and account for the lack of knowledge where necessary. To quantify the impact of the key model inputs, sensitivity and scenario analyses were performed. The overall probability of 100g of a hypothetical edible tissue containing at least 1 cyst was 5.54%. Sensitivity analysis indicated that the variables exerting the greater effect on the output mean were the number of cysts and number of bradyzoites per cyst. Under the best and the worst scenarios, the probability of a single portion of fresh pork meat containing at least 1 viable cyst resulted 1.14% and 9.97% indicating that the uncertainty and lack of data surrounding key input parameters of the model preclude accurate estimation of T. gondii exposure through consumption of meat products. The hypothetical model conceptualized here is coherent with current knowledge of the biology of the parasite. Simulation outputs clearly identify the key gaps in our knowledge of the host-parasite interaction that, when filled, will support quantitative assessments and much needed accurate estimates of the risk of human exposure. Copyright © 2017 Elsevier B.V. All rights reserved.

Microbial risk assessment of drinking water based on hydrodynamic modelling of pathogen concentrations in source water.

PubMed

Sokolova, Ekaterina; Petterson, Susan R; Dienus, Olaf; Nyström, Fredrik; Lindgren, Per-Eric; Pettersson, Thomas J R

2015-09-01

Norovirus contamination of drinking water sources is an important cause of waterborne disease outbreaks. Knowledge on pathogen concentrations in source water is needed to assess the ability of a drinking water treatment plant (DWTP) to provide safe drinking water. However, pathogen enumeration in source water samples is often not sufficient to describe the source water quality. In this study, the norovirus concentrations were characterised at the contamination source, i.e. in sewage discharges. Then, the transport of norovirus within the water source (the river Göta älv in Sweden) under different loading conditions was simulated using a hydrodynamic model. Based on the estimated concentrations in source water, the required reduction of norovirus at the DWTP was calculated using quantitative microbial risk assessment (QMRA). The required reduction was compared with the estimated treatment performance at the DWTP. The average estimated concentration in source water varied between 4.8×10(2) and 7.5×10(3) genome equivalents L(-1); and the average required reduction by treatment was between 7.6 and 8.8 Log10. The treatment performance at the DWTP was estimated to be adequate to deal with all tested loading conditions, but was heavily dependent on chlorine disinfection, with the risk of poor reduction by conventional treatment and slow sand filtration. To our knowledge, this is the first article to employ discharge-based QMRA, combined with hydrodynamic modelling, in the context of drinking water. Copyright © 2015 Elsevier B.V. All rights reserved.

Automated quantitative assessment of proteins' biological function in protein knowledge bases.

PubMed

Mayr, Gabriele; Lepperdinger, Günter; Lackner, Peter

2008-01-01

Primary protein sequence data are archived in databases together with information regarding corresponding biological functions. In this respect, UniProt/Swiss-Prot is currently the most comprehensive collection and it is routinely cross-examined when trying to unravel the biological role of hypothetical proteins. Bioscientists frequently extract single entries and further evaluate those on a subjective basis. In lieu of a standardized procedure for scoring the existing knowledge regarding individual proteins, we here report about a computer-assisted method, which we applied to score the present knowledge about any given Swiss-Prot entry. Applying this quantitative score allows the comparison of proteins with respect to their sequence yet highlights the comprehension of functional data. pfs analysis may be also applied for quality control of individual entries or for database management in order to rank entry listings.

Design and evaluation of interprofessional cross-cultural communication sessions.

PubMed

Liu, Min; Poirier, Therese; Butler, Lakesha; Comrie, Rhonda; Pailden, Junvie

2015-01-01

The 2013 National Standards for Culturally and Linguistically Appropriate Services (CLAS) call for healthcare professionals to provide quality care and services that are responsive to diverse cultural health beliefs and practices. Accreditation organizations for health professional programs require their curriculum to adequately prepare future practitioners for serving culturally and linguistically diverse populations. Another common curricular need of health professional programs is interprofessional education (IPE). This study presents data that evaluates two IPE culturally competent communication sessions designed for pharmacy and nursing students. Teams of nursing and pharmacy students (n = 160) engaged in case studies focused on developing cross-cultural communication skills, using the LEARN model. Quantitative survey data collected pre-test and post-test measured cultural competency (including subscales of perceived skills, perceived knowledge, confidence in encounter, and attitude) and knowledge related to culturally competent communication. Univariate ANOVA results indicate that actual knowledge as measured by the test and all four Clinical Cultural Competency Questionnaire (CCCQ) subscales significantly increased after the IPE sessions. Pharmacy students scored higher than nursing students on the knowledge pre-test, and nursing students had a more positive attitude at pre-test. The IPE sessions effectively addressed all learning outcomes and will continue in future course offerings. Using cross-cultural communication as a thematic area for IPE program development resulted in educational benefits for the students. To further strengthen nursing and pharmacy students' interprofessional practice, additional IPE opportunities are to be explored.

Knowledge Management for the Analysis of Complex Experimentation.

ERIC Educational Resources Information Center

Maule, R.; Schacher, G.; Gallup, S.

2002-01-01

Describes a knowledge management system that was developed to help provide structure for dynamic and static data and to aid in the analysis of complex experimentation. Topics include quantitative and qualitative data; mining operations using artificial intelligence techniques; information architecture of the system; and transforming data into…

Knowledge Building in Asynchronous Discussion Groups: Going Beyond Quantitative Analysis

ERIC Educational Resources Information Center

Schrire, Sarah

2006-01-01

This contribution examines the methodological challenges involved in defining the collaborative knowledge-building processes occurring in asynchronous discussion and proposes an approach that could advance understanding of these processes. The written protocols that are available to the analyst provide an exact record of the instructional…

Midwives' experience of their education, knowledge and practice around immersion in water for labour or birth.

PubMed

Lewis, Lucy; Hauck, Yvonne L; Butt, Janice; Western, Chloe; Overing, Helen; Poletti, Corrinne; Priest, Jessica; Hudd, Dawn; Thomson, Brooke

2018-06-19

There is limited research examining midwives' education, knowledge and practice around immersion in water for labour or birth. Our aim was to address this gap in evidence and build knowledge around this important topic. This mixed method study was performed in two phases, between August and December 2016, in the birth centre of a tertiary public maternity hospital in Western Australia. Phase one utilised a cross sectional design to examine perceptions of education, knowledge and practice around immersion in water for labour or birth through a questionnaire. Phase two employed a qualitative descriptive design and focus groups to explore what midwives enjoyed about caring for women who labour or birth in water and the challenges midwives experienced with waterbirth. Frequency distributions were employed for quantitative data. Thematic analysis was undertaken to extract common themes from focus group transcripts. The majority (85%; 29 of 34) of midwives surveyed returned a questionnaire. Results from phase one confirmed that following training, 93% (27 of 29) of midwives felt equipped to facilitate waterbirth and the mean waterbirths required to facilitate confidence was seven. Midwives were confident caring for women in water during the first, second and third stage of labour and enjoyed facilitating water immersion for labour and birth. Finally, responses to labour and birth scenarios indicated midwives were practicing according to state-wide clinical guidance. Phase two included two focus groups of seven and five midwives. Exploration of what midwives enjoyed about caring for women who used water immersion revealed three themes: instinctive birthing; woman-centred atmosphere; and undisturbed space. Exploration of the challenges experienced with waterbirth revealed two themes: learning through reflection and facilities required to support waterbirth. This research contributes to the growing knowledge base examining midwives' education, knowledge and practice around immersion in water for labour or birth. It also highlights the importance of exploring what immersion in water for labour and birth offers midwives, as this research suggests they are integral to sustaining waterbirth as an option for low risk women.

Ecological Change, Sliding Baselines and the Importance of Historical Data: Lessons from Combing Observational and Quantitative Data on a Temperate Reef Over 70 Years

PubMed Central

Gatti, Giulia; Bianchi, Carlo Nike; Parravicini, Valeriano; Rovere, Alessio; Peirano, Andrea; Montefalcone, Monica; Massa, Francesco; Morri, Carla

2015-01-01

Understanding the effects of environmental change on ecosystems requires the identification of baselines that may act as reference conditions. However, the continuous change of these references challenges our ability to define the true natural status of ecosystems. The so-called sliding baseline syndrome can be overcome through the analysis of quantitative time series, which are, however, extremely rare. Here we show how combining historical quantitative data with descriptive ‘naturalistic’ information arranged in a chronological chain allows highlighting long-term trends and can be used to inform present conservation schemes. We analysed the long-term change of a coralligenous reef, a marine habitat endemic to the Mediterranean Sea. The coralligenous assemblages of Mesco Reef (Ligurian Sea, NW Mediterranean) have been studied, although discontinuously, since 1937 thus making available both detailed descriptive information and scanty quantitative data: while the former was useful to understand the natural history of the ecosystem, the analysis of the latter was of paramount importance to provide a formal measure of change over time. Epibenthic assemblages remained comparatively stable until the 1990s, when species replacement, invasion by alien algae, and biotic homogenisation occurred within few years, leading to a new and completely different ecosystem state. The shift experienced by the coralligenous assemblages of Mesco Reef was probably induced by a combination of seawater warming and local human pressures, the latter mainly resulting in increased water turbidity; in turn, cumulative stress may have favoured the establishment of alien species. This study showed that the combined analysis of quantitative and descriptive historical data represent a precious knowledge to understand ecosystem trends over time and provide help to identify baselines for ecological management. PMID:25714413

Analyzing 7000 texts on deep brain stimulation: what do they tell us?

PubMed

Ineichen, Christian; Christen, Markus

2015-01-01

The enormous increase in numbers of scientific publications in the last decades requires quantitative methods for obtaining a better understanding of topics and developments in various fields. In this exploratory study, we investigate the emergence, trends, and connections of topics within the whole text corpus of the deep brain stimulation (DBS) literature based on more than 7000 papers (title and abstracts) published between 1991 to 2014 using a network approach. Taking the co-occurrence of basic terms that represent important topics within DBS as starting point, we outline the statistics of interconnections between DBS indications, anatomical targets, positive, and negative effects, as well as methodological, technological, and economic issues. This quantitative approach confirms known trends within the literature (e.g., regarding the emergence of psychiatric indications). The data also reflect an increased discussion about complex issues such as personality connected tightly to the ethical context, as well as an apparent focus on depression as important DBS indication, where the co-occurrence of terms related to negative effects is low both for the indication as well as the related anatomical targets. We also discuss consequences of the analysis from a bioethical perspective, i.e., how such a quantitative analysis could uncover hidden subject matters that have ethical relevance. For example, we find that hardware-related issues in DBS are far more robustly connected to an ethical context compared to impulsivity, concrete side-effects or death/suicide. Our contribution also outlines the methodology of quantitative text analysis that combines statistical approaches with expert knowledge. It thus serves as an example how innovative quantitative tools can be made useful for gaining a better understanding in the field of DBS.

Analyzing 7000 texts on deep brain stimulation: what do they tell us?

PubMed Central

Ineichen, Christian; Christen, Markus

2015-01-01

The enormous increase in numbers of scientific publications in the last decades requires quantitative methods for obtaining a better understanding of topics and developments in various fields. In this exploratory study, we investigate the emergence, trends, and connections of topics within the whole text corpus of the deep brain stimulation (DBS) literature based on more than 7000 papers (title and abstracts) published between 1991 to 2014 using a network approach. Taking the co-occurrence of basic terms that represent important topics within DBS as starting point, we outline the statistics of interconnections between DBS indications, anatomical targets, positive, and negative effects, as well as methodological, technological, and economic issues. This quantitative approach confirms known trends within the literature (e.g., regarding the emergence of psychiatric indications). The data also reflect an increased discussion about complex issues such as personality connected tightly to the ethical context, as well as an apparent focus on depression as important DBS indication, where the co-occurrence of terms related to negative effects is low both for the indication as well as the related anatomical targets. We also discuss consequences of the analysis from a bioethical perspective, i.e., how such a quantitative analysis could uncover hidden subject matters that have ethical relevance. For example, we find that hardware-related issues in DBS are far more robustly connected to an ethical context compared to impulsivity, concrete side-effects or death/suicide. Our contribution also outlines the methodology of quantitative text analysis that combines statistical approaches with expert knowledge. It thus serves as an example how innovative quantitative tools can be made useful for gaining a better understanding in the field of DBS. PMID:26578908

78 FR 68239 - Final Rules Under the Paul Wellstone and Pete Domenici Mental Health Parity and Addiction Equity...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-13

... requirement or quantitative treatment limitation on mental health and substance use disorder benefits in any classification that is more restrictive than the predominant financial requirement or quantitative treatment... or quantitative treatment limitation in the relevant classification. Using these numerical standards...

17 CFR Appendix A to Part 255 - Reporting and Recordkeeping Requirements for Covered Trading Activities

Code of Federal Regulations, 2014 CFR

2014-04-01

... regarding a variety of quantitative measurements of their covered trading activities, which vary depending... entity's covered trading activities. c. The quantitative measurements that must be furnished pursuant to... prior to September 30, 2015. e. In addition to the quantitative measurements required in this appendix...

Quantitative generalizations for catchment sediment yield following forest logging

Treesearch

James C. Bathurst; Andrés Iroumé

2014-01-01

Published data for temperate forests across the world are analyzed to investigate the potential for generalized quantitative expressions of catchment sediment yield impact in the years immediately following logging. Such generalizations would be useful in a variety of forestry and engineering tasks and would aid the spread of knowledge amongst both relevant...

Leadership for School Numeracy: How School Leaders' Knowledge and Attitudes Impact Student Mathematics Achievement

ERIC Educational Resources Information Center

Walker-Glenn, Michelle Lynn

2010-01-01

Although most high schools espouse school-wide literacy initiatives, few schools place equal emphasis on numeracy, or quantitative literacy. This lack of attention to quantitative skills is ironic in light of documented deficiencies in student mathematics achievement. While significant research exists regarding best practices for mathematics…

Bedside to Bench: Integrating Quantitative Clinical Pharmacology and Reverse Translation to Optimize Drug Development.

PubMed

Gibbs, John P; Menon, Rajeev; Kasichayanula, Sreeneeranj

2018-02-01

With so much emphasis on reducing attrition and becoming more efficient in the delivery of healthcare, there are many opportunities to leverage existing clinical data in drug development and to foster the practice of reverse translation. The application of quantitative approaches to convert clinical trial and real-world data to knowledge will continue to drive innovation. Herein we discuss recent examples of reverse translation and consider future opportunities to capture critical clinical knowledge to inform decision-making in drug development. © 2017 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

Young children's core symbolic and nonsymbolic quantitative knowledge in the prediction of later mathematics achievement.

PubMed

Geary, David C; vanMarle, Kristy

2016-12-01

At the beginning of preschool (M = 46 months of age), 197 (94 boys) children were administered tasks that assessed a suite of nonsymbolic and symbolic quantitative competencies as well as their executive functions, verbal and nonverbal intelligence, preliteracy skills, and their parents' education level. The children's mathematics achievement was assessed at the end of preschool (M = 64 months). We used a series of Bayesian and standard regression analyses to winnow this broad set of competencies down to the core subset of quantitative skills that predict later mathematics achievement, controlling other factors. This knowledge included children's fluency in reciting the counting string, their understanding of the cardinal value of number words, and recognition of Arabic numerals, as well as their sensitivity to the relative quantity of 2 collections of objects. The results inform theoretical models of the foundations of children's early quantitative development and have practical implications for the design of early interventions for children at risk for poor long-term mathematics achievement. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

An automated and objective method for age partitioning of reference intervals based on continuous centile curves.

PubMed

Yang, Qian; Lew, Hwee Yeong; Peh, Raymond Hock Huat; Metz, Michael Patrick; Loh, Tze Ping

2016-10-01

Reference intervals are the most commonly used decision support tool when interpreting quantitative laboratory results. They may require partitioning to better describe subpopulations that display significantly different reference values. Partitioning by age is particularly important for the paediatric population since there are marked physiological changes associated with growth and maturation. However, most partitioning methods are either technically complex or require prior knowledge of the underlying physiology/biological variation of the population. There is growing interest in the use of continuous centile curves, which provides seamless laboratory reference values as a child grows, as an alternative to rigidly described fixed reference intervals. However, the mathematical functions that describe these curves can be complex and may not be easily implemented in laboratory information systems. Hence, the use of fixed reference intervals is expected to continue for a foreseeable time. We developed a method that objectively proposes optimised age partitions and reference intervals for quantitative laboratory data (http://research.sph.nus.edu.sg/pp/ppResult.aspx), based on the sum of gradient that best describes the underlying distribution of the continuous centile curves. It is hoped that this method may improve the selection of age intervals for partitioning, which is receiving increasing attention in paediatric laboratory medicine. Copyright © 2016 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved.

Personal Care Participation Assessment and Resource Tool: Clinical utility for inpatient rehabilitation.

PubMed

Darzins, Susan W; Imms, Christine; Stefano, Marilyn Di; Radia-George, Camilla A

2016-10-01

Evidence supports validity of the Personal Care Participation Assessment and Resource Tool (PC-PART), but clinical utility remains unverified. This study aimed to investigate occupational therapists' perceptions about the PC-PART's clinical utility for inpatient rehabilitation. Using mixed methods, occupational therapists who had used the PC-PART as part of a research study in an inpatient rehabilitation setting completed a questionnaire ( n = 9) and participated in a focus group ( n = 6) to explore their perspectives about its clinical utility. Quantitative data were summarized and qualitative data analyzed using inductive thematic analysis. Quantitative data highlighted both positive and negative aspects of the PC-PART's clinical utility. Five themes emerged from the qualitative data: nature of information gathered; familiarity with the instrument; perceived time and effort; item phrasing, interpretation, and presentation; and external influences on clinical use. The PC-PART was perceived to support gathering of clinically useful information, helpful to intervention and discharge planning. Recommendations for improving some item phrasing, operational definitions, and instructions were identified. Although standardized assessments were valued, use in routine practice was challenging, requiring a knowledge translation strategy.

Model-assisted development of a laminography inspection system

NASA Astrophysics Data System (ADS)

Grandin, R.; Gray, J.

2012-05-01

Traditional computed tomography (CT) is an effective method of determining the internal structure of an object through non-destructive means; however, inspection of certain objects, such as those with planar geometrics or with limited access, requires an alternate approach. An alternative is laminography and has been the focus of a number of researchers in the past decade for both medical and industrial inspections. Many research efforts rely on geometrically-simple analytical models, such as the Shepp-Logan phantom, for the development of their algorithms. Recent work at the Center for Non-Destructive Evaluation makes extensive use of a forward model, XRSIM, to study artifacts arising from the reconstruction method, the effects of complex geometries and known issues such as high density features on the laminography reconstruction process. The use of a model provides full knowledge of all aspects of the geometry and provides a means to quantitatively evaluate the impact of methods designed to reduce artifacts generated by the reconstruction methods or that are result of the part geometry. We will illustrate the use of forward simulations to quantitatively assess reconstruction algorithm development and artifact reduction.

Deciphering principles of transcription regulation in eukaryotic genomes

PubMed Central

Nguyen, Dat H; D'haeseleer, Patrik

2006-01-01

Transcription regulation has been responsible for organismal complexity and diversity in the course of biological evolution and adaptation, and it is determined largely by the context-dependent behavior of cis-regulatory elements (CREs). Therefore, understanding principles underlying CRE behavior in regulating transcription constitutes a fundamental objective of quantitative biology, yet these remain poorly understood. Here we present a deterministic mathematical strategy, the motif expression decomposition (MED) method, for deriving principles of transcription regulation at the single-gene resolution level. MED operates on all genes in a genome without requiring any a priori knowledge of gene cluster membership, or manual tuning of parameters. Applying MED to Saccharomyces cerevisiae transcriptional networks, we identified four functions describing four different ways that CREs can quantitatively affect gene expression levels. These functions, three of which have extrema in different positions in the gene promoter (short-, mid-, and long-range) whereas the other depends on the motif orientation, are validated by expression data. We illustrate how nature could use these principles as an additional dimension to amplify the combinatorial power of a small set of CREs in regulating transcription. PMID:16738557

Quantitative estimation of cholinesterase-specific drug metabolism of carbamate inhibitors provided by the analysis of the area under the inhibition-time curve.

PubMed

Zhou, Huimin; Xiao, Qiaoling; Tan, Wen; Zhan, Yiyi; Pistolozzi, Marco

2017-09-10

Several molecules containing carbamate groups are metabolized by cholinesterases. This metabolism includes a time-dependent catalytic step which temporary inhibits the enzymes. In this paper we demonstrate that the analysis of the area under the inhibition versus time curve (AUIC) can be used to obtain a quantitative estimation of the amount of carbamate metabolized by the enzyme. (R)-bambuterol monocarbamate and plasma butyrylcholinesterase were used as model carbamate-cholinesterase system. The inhibition of different concentrations of the enzyme was monitored for 5h upon incubation with different concentrations of carbamate and the resulting AUICs were analyzed. The amount of carbamate metabolized could be estimated with <15% accuracy (RE%) and ≤23% precision (RSD%). Since the knowledge of the inhibition kinetics is not required for the analysis, this approach could be used to determine the amount of drug metabolized by cholinesterases in a selected compartment in which the cholinesterase is confined (e.g. in vitro solutions, tissues or body fluids), either in vitro or in vivo. Copyright © 2017 Elsevier B.V. All rights reserved.

Does Accumulated Knowledge Impact Academic Performance in Cost Accounting?

ERIC Educational Resources Information Center

Alanzi, Khalid A.; Alfraih, Mishari M.

2017-01-01

Purpose: This quantitative study aims to examine the impact of accumulated knowledge of accounting on the academic performance of Cost Accounting students. Design/methodology/approach The sample consisted of 89 students enrolled in the Accounting program run by a business college in Kuwait during 2015. Correlation and linear least squares…

Coronary Heart Disease Knowledge and Risk Factors among Tri-Ethnic College Students

ERIC Educational Resources Information Center

Koutoubi, Samer; Huffman, Fatma G.; Ciccazzo, Michele W.; Himburg, Susan P.; Johnson, Paulette

2005-01-01

Objectives: Coronary heart disease (CHD) is the leading cause of death in the United States and Europe. This study identified and compared nutritional knowledge associated with CHD risk factors among tri-ethnic college students. Design: A quantitative, cross-sectional, observational study using questionnaires. Setting: University laboratory.…

Knowledge Representation in a Physics Tutor. COINS Technical Report 86-37.

ERIC Educational Resources Information Center

Murray, Tom; Woolf, Beverly

This paper is based on the idea that designing a knowledge representation for an intelligent physics computer tutoring system depends, in part, on the target behavior anticipated from the student. In addition, the document distinguishes between qualitative and quantitative competence in physics. These competencies are illustrated through questions…

Diet and Colorectal Cancer Risk: Baseline Dietary Knowledge of Colorectal Patients

ERIC Educational Resources Information Center

Dyer, K. J.; Fearon, K. C. H.; Buckner, K.; Richardson, R. A.

2004-01-01

Objective: To establish the dietary knowledge, attitudes and potential barriers to change of patients attending a colorectal outpatient clinic. Design: Use of a semistructured interview to generate qualitative and quantitative data. Setting: A regional colorectal outpatient clinic within Edinburgh. Method: Patients attending clinic with colorectal…

Operational Art and Intelligence: What is the Relationship?

DTIC Science & Technology

1997-05-22

operational art began with the even application of military science and art . Science is knowledge, and art is the creative application of knowledge. In this...intelligence, like operational art, evenly applies science and art . Science , or raw data collection, is synonymous with the gathering of quantitative elements in

Teacher Contract Non-Renewal: What Matters to Principals?

ERIC Educational Resources Information Center

Nixon, Andy; Packard, Abbot; Dam, Margaret

2016-01-01

This quantitative study investigated the relationship between teacher dispositions, subject content knowledge, pedagogical content knowledge, and reasons that school principals recommend non-renewal of teachers' contracts. Nearly 2,000 school principals in 13 states completed an emailed survey. In deciding whether to non-renew a teacher contract,…

Influence of Constructivist Professional Development on Chemistry Content Knowledge and Scientific Model Development

ERIC Educational Resources Information Center

Khourey-Bowers, Claudia; Fenk, Christopher

2009-01-01

The purpose of this study was to explore the relationship between teachers' (N = 69) participation in constructivist chemistry professional development (PD) and enhancement of content (CK) and pedagogical content knowledge (PCK) (representational thinking and conceptual change strategies) and self-efficacy (PSTE). Quantitative measures assessed…

Design and Architecture of Collaborative Online Communities: A Quantitative Analysis

ERIC Educational Resources Information Center

Aviv, Reuven; Erlich, Zippy; Ravid, Gilad

2004-01-01

This paper considers four aspects of online communities. Design, mechanisms, architecture, and the constructed knowledge. We hypothesize that different designs of communities drive different mechanisms, which give rise to different architectures, which in turn result in different levels of collaborative knowledge construction. To test this chain…

Urban Men's Knowledge and Perceptions regarding Sexually Transmitted Infections in Pakistan

ERIC Educational Resources Information Center

Mohammad Mir, Ali; Reichenbach, Laura; Wajid, Abdul

2009-01-01

In a pioneering study undertaken in Pakistan, urban men's sexual behaviors, perceptions and knowledge regarding sexually transmitted infections including HIV/AIDS were determined by employing both qualitative and quantitative research methods. Focus group discussions were carried out initially and followed by a structured cross sectional survey…

Nursery Rhyme Knowledge and Phonological Awareness in Preschool Children

ERIC Educational Resources Information Center

Harper, Laurie J.

2011-01-01

Phonological awareness is an important precursor in learning to read. This awareness of phonemes fosters a child's ability to hear and blend sounds, encode and decode words, and to spell phonetically. This quantitative study assessed pre-K children's existing Euro-American nursery rhyme knowledge and phonological awareness literacy, provided…

Assessing the Relationship of Knowledge Management Effectiveness and Assessment Quality Improvement

ERIC Educational Resources Information Center

Ringhand, Darlene Gail

2009-01-01

Administrators at post-secondary institutions have found that national or regional accreditation is necessary to remain competitive in the higher education market with evidence of assessment considered a positive measure for accreditation. This quantitative study examined the correlation between the ranked levels of knowledge management within…

The Representation of Pragmatic Knowledge in Recent ELT Textbooks

ERIC Educational Resources Information Center

Ren, Wei; Han, Zhengrui

2016-01-01

Pragmatic competence has become an increasingly crucial component of language pedagogy. This article reports on a quantitative and qualitative study of ten English language textbooks used in Chinese universities with a particular focus on their coverage of pragmatic knowledge. Detailed analysis focused specifically on the mention of pragmatic…

The impact of educational experiences on nursing students' knowledge and attitudes toward people with Alzheimer's disease: A mixed method study.

PubMed

Kimzey, Michelle; Mastel-Smith, Beth; Alfred, Danita

2016-11-01

As the population ages, the effects of Alzheimer's disease will be felt by all nurses. Providing proper care for people with Alzheimer's disease is difficult and requires specific skills, attitudes, and knowledge. Limited data exists regarding nursing students' attitudes and knowledge toward people with Alzheimer's disease, whether undergraduate education prepares students to care for this population, or the best methods to support students in learning in an innovative and interactive environment. The aim of this study was to determine the effect of different educational experiences on nursing students' knowledge and attitudes toward people with Alzheimer's disease and to explore nursing students' knowledge and attitudes surrounding the care of people with Alzheimer's disease. A convergent mixed method design. A three group (Alzheimer's disease clinical experience, online learning module, and no dementia-specific intervention), pretest and posttest design served as the quantitative arm of the study. A focus group discussion with themes extracted served as the qualitative piece of the study. College of Nursing in North Texas. Convenience sample of 94 senior level nursing students enrolled in the undergraduate nursing program's Community Health course. Students completed pre and posttest surveys which included Alzheimer's Disease Knowledge Scale, Dementia Attitudes Scale, and demographic questionnaire. Content analysis was conducted on focus group responses to qualitative interview questions. The Alzheimer's disease clinical group experienced increased knowledge and improved attitudes toward people with Alzheimer's disease compared with students who completed the online module or had no dementia-specific intervention. Four themes emerged from focus group data: Basic Alzheimer's disease knowledge, need for Alzheimer's disease experiential learning, negative feelings related to behaviors, and appropriate responses to behavioral and psychological symptoms of dementia. Experiential learning in the form of clinical placements increased knowledge and improved attitudes about Alzheimer's disease compared with an online module and no dementia-specific intervention. Copyright © 2016 Elsevier Ltd. All rights reserved.

An Integrated Literature Review of the Knowledge Needs of Parents with Children with Special Health Care Needs and of Instruments to Assess These Needs

ERIC Educational Resources Information Center

Adler, Kristin; Salanterä, Sanna; Leino­-Kilpi, Helena; Grädel, Barbara

2015-01-01

The purpose of this integrative (including both quantitative and qualitative studies) literature review was to identify knowledge needs of parents of a child with special health care needs and to evaluate instruments to assess these needs. The content analysis of 48 publications revealed a vast amount of knowledge needs that were categorized into…

Knowledge evolution in physics research: An analysis of bibliographic coupling networks.

PubMed

Liu, Wenyuan; Nanetti, Andrea; Cheong, Siew Ann

2017-01-01

Even as we advance the frontiers of physics knowledge, our understanding of how this knowledge evolves remains at the descriptive levels of Popper and Kuhn. Using the American Physical Society (APS) publications data sets, we ask in this paper how new knowledge is built upon old knowledge. We do so by constructing year-to-year bibliographic coupling networks, and identify in them validated communities that represent different research fields. We then visualize their evolutionary relationships in the form of alluvial diagrams, and show how they remain intact through APS journal splits. Quantitatively, we see that most fields undergo weak Popperian mixing, and it is rare for a field to remain isolated/undergo strong mixing. The sizes of fields obey a simple linear growth with recombination. We can also reliably predict the merging between two fields, but not for the considerably more complex splitting. Finally, we report a case study of two fields that underwent repeated merging and splitting around 1995, and how these Kuhnian events are correlated with breakthroughs on Bose-Einstein condensation (BEC), quantum teleportation, and slow light. This impact showed up quantitatively in the citations of the BEC field as a larger proportion of references from during and shortly after these events.

Development and application of the adverse outcome pathway framework for understanding and predicting chronic toxicity: I. Challenges and research needs in ecotoxicology.

PubMed

Groh, Ksenia J; Carvalho, Raquel N; Chipman, James K; Denslow, Nancy D; Halder, Marlies; Murphy, Cheryl A; Roelofs, Dick; Rolaki, Alexandra; Schirmer, Kristin; Watanabe, Karen H

2015-02-01

To elucidate the effects of chemicals on populations of different species in the environment, efficient testing and modeling approaches are needed that consider multiple stressors and allow reliable extrapolation of responses across species. An adverse outcome pathway (AOP) is a concept that provides a framework for organizing knowledge about the progression of toxicity events across scales of biological organization that lead to adverse outcomes relevant for risk assessment. In this paper, we focus on exploring how the AOP concept can be used to guide research aimed at improving both our understanding of chronic toxicity, including delayed toxicity as well as epigenetic and transgenerational effects of chemicals, and our ability to predict adverse outcomes. A better understanding of the influence of subtle toxicity on individual and population fitness would support a broader integration of sublethal endpoints into risk assessment frameworks. Detailed mechanistic knowledge would facilitate the development of alternative testing methods as well as help prioritize higher tier toxicity testing. We argue that targeted development of AOPs supports both of these aspects by promoting the elucidation of molecular mechanisms and their contribution to relevant toxicity outcomes across biological scales. We further discuss information requirements and challenges in application of AOPs for chemical- and site-specific risk assessment and for extrapolation across species. We provide recommendations for potential extension of the AOP framework to incorporate information on exposure, toxicokinetics and situation-specific ecological contexts, and discuss common interfaces that can be employed to couple AOPs with computational modeling approaches and with evolutionary life history theory. The extended AOP framework can serve as a venue for integration of knowledge derived from various sources, including empirical data as well as molecular, quantitative and evolutionary-based models describing species responses to toxicants. This will allow a more efficient application of AOP knowledge for quantitative chemical- and site-specific risk assessment as well as for extrapolation across species in the future. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

A Quantitative ADME-base Tool for Exploring Human ...

EPA Pesticide Factsheets

Exposure to a wide range of chemicals through our daily habits and routines is ubiquitous and largely unavoidable within modern society. The potential for human exposure, however, has not been quantified for the vast majority of chemicals with wide commercial use. Creative advances in exposure science are needed to support efficient and effective evaluation and management of chemical risks, particularly for chemicals in consumer products. The U.S. Environmental Protection Agency Office of Research and Development is developing, or collaborating in the development of, scientifically-defensible methods for making quantitative or semi-quantitative exposure predictions. The Exposure Prioritization (Ex Priori) model is a simplified, quantitative visual dashboard that provides a rank-ordered internalized dose metric to simultaneously explore exposures across chemical space (not chemical by chemical). Diverse data streams are integrated within the interface such that different exposure scenarios for “individual,” “population,” or “professional” time-use profiles can be interchanged to tailor exposure and quantitatively explore multi-chemical signatures of exposure, internalized dose (uptake), body burden, and elimination. Ex Priori has been designed as an adaptable systems framework that synthesizes knowledge from various domains and is amenable to new knowledge/information. As such, it algorithmically captures the totality of exposure across pathways. It

The place of knowledge management in influencing lasting health change in Africa: an analysis of AMREF's progress

PubMed Central

Shoo, Rumishael; Matuku, Willy; Ireri, Jane; Nyagero, Josephat; Gatonga, Patrick

2012-01-01

Introduction AMREF (African Medical and Research Foundation) developed a Knowledge Management Strategy that focused on creating, capturing and applying health knowledge to close the gap between communities and health systems in Africa. There was need to identify AMREF's current Knowledge Management implementation status, problems and constraints encountered after two years of enforcement of the strategy and suggest the way forward. Methods This study was conducted between October 2011 and February 2012. Quantitative data on number and foci of AMREF research publications were collected using a questionnaire. Focus group discussions and in-depth interviews were used to gather data on explanations for the trend of publications and the status of the implementation of the 2010-2014 Knowledge Management Strategy. Quantitative data was analysed using SPSS computer software whereas content analysis of themes was employed on qualitative data. Results Between 1960 and 2011, AMREF produced 257 peer reviewed publications, 158 books and manuals and about 1,188 technical publications including evaluations, guidelines and technical reports. However, the numbers of publications declined from around the year 2000. Large quantities of unpublished and unclassified materials are also in the custody of Heritage. Barriers to Knowledge Management included: lack of incentives for documentation and dissemination; limited documentation and use of good practices in programming; and superficial attention to results or use of evidence. Conclusion Alternative ways of reorganizing Knowledge Management will enable AMREF to use evidence-based knowledge to advocate for appropriate changes in African health policies and practices. PMID:23467647

The place of knowledge management in influencing lasting health change in Africa: an analysis of AMREF's progress.

PubMed

Shoo, Rumishael; Matuku, Willy; Ireri, Jane; Nyagero, Josephat; Gatonga, Patrick

2012-01-01

AMREF (African Medical and Research Foundation) developed a Knowledge Management Strategy that focused on creating, capturing and applying health knowledge to close the gap between communities and health systems in Africa. There was need to identify AMREF's current Knowledge Management implementation status, problems and constraints encountered after two years of enforcement of the strategy and suggest the way forward. This study was conducted between October 2011 and February 2012. Quantitative data on number and foci of AMREF research publications were collected using a questionnaire. Focus group discussions and in-depth interviews were used to gather data on explanations for the trend of publications and the status of the implementation of the 2010-2014 Knowledge Management Strategy. Quantitative data was analysed using SPSS computer software whereas content analysis of themes was employed on qualitative data. Between 1960 and 2011, AMREF produced 257 peer reviewed publications, 158 books and manuals and about 1,188 technical publications including evaluations, guidelines and technical reports. However, the numbers of publications declined from around the year 2000. Large quantities of unpublished and unclassified materials are also in the custody of Heritage. Barriers to Knowledge Management included: lack of incentives for documentation and dissemination; limited documentation and use of good practices in programming; and superficial attention to results or use of evidence. Alternative ways of reorganizing Knowledge Management will enable AMREF to use evidence-based knowledge to advocate for appropriate changes in African health policies and practices.

Multiple Intimate Partner Violence Experiences: Knowledge, Access, Utilization and Barriers to Utilization of Resources by Women of the African Diaspora.

PubMed

Sabri, Bushra; Huerta, Julia; Alexander, Kamila A; St Vil, Noelle M; Campbell, Jacquelyn C; Callwood, Gloria B

2015-11-01

This study examined knowledge, access, utilization, and barriers to use of resources among Black women exposed to multiple types of intimate partner violence in Baltimore, Maryland and the U.S. Virgin Islands (USVI). We analyzed quantitative survey data collected by 163 women recruited from primary care, prenatal or family planning clinics in Baltimore and the USVI. In addition we analyzed qualitative data from in-depth interviews with 11 women. Quantitative data were analyzed using descriptive statistics and qualitative data were analyzed using thematic analysis. A substantial proportion of Black women with multiple types of violence experiences lacked knowledge of, did not have access to, and did not use resources. Barriers to resource use were identified at the individual, relationship, and community levels. There is need for programs to develop awareness, promote access and utilization of resources, and eliminate barriers to resource use among abused Black women.

Knowledge and attitude of key community members towards tuberculosis: mixed method study from BRAC TB control areas in Bangladesh.

PubMed

Paul, Sukanta; Akter, Rahima; Aftab, Afzal; Khan, Antora M; Barua, Mrittika; Islam, Shayla; Islam, Akramul; Husain, Ashaque; Sarker, Malabika

2015-01-31

Bangladesh National Tuberculosis (TB) Control Programme adopted a number of strategies to facilitate TB diagnosis and treatment. 'Advocacy, Communication and Social Mobilization' (ACSM) was one of the key strategies implemented by BRAC (Bangladesh Rural Advancement Committee, a non-governmental development organization) TB control program. The purpose of this study is to assess the knowledge and attitudes of the key community members (KCMs) participated in ACSM in BRAC TB control areas. This study combined quantitative and qualitative methods using a mixed method approach. KCMs in three districts with low TB case detection rates were targeted to assess the ACSM program. The quantitative survey using a multi-stage random-sampling strategy was conducted among 432 participants. The qualitative study included in-depth interviews (IDIs) of a sub sample of 48 respondents. For quantitative analysis, descriptive statistics were reported using frequencies, percentages, and Chi square tests, while thematic analysis was used for qualitative part. Most (99%) of the participants had heard about TB, and almost all knew that TB is a contagious yet curable disease. More than half (53%) of the KCMs had good knowledge regarding TB, but BRAC workers were found to be more knowledgeable compared to other KCMs. However, considerable knowledge gaps were observed among BRAC community health workers. Qualitative results revealed that the majority of the KCMs were aware about the signs, symptoms and transmission pathways of TB and believed that smoking and addiction were the prime causes of transmission of TB. The knowledge about child TB was poor even among BRAC health workers. Stigma associated with TB was not uncommon. Almost all respondents expressed that young girls diagnosed with TB. This study finding has revealed varying levels of knowledge and mixed attitudes about TB among the KCMs. It also provides insight on the poor knowledge regarding child TB and indicate that despite the significant success of the TB program stigma is yet prevalent in the community. Future ACSM activities should engage community members against stigma and promote child TB related information for further improvement of BRAC TB Control Programme.

Access to finance from different finance provider types: Farmer knowledge of the requirements.

PubMed

Wulandari, Eliana; Meuwissen, Miranda P M; Karmana, Maman H; Oude Lansink, Alfons G J M

2017-01-01

Analysing farmer knowledge of the requirements of finance providers can provide valuable insights to policy makers about ways to improve farmers' access to finance. This study compares farmer knowledge of the requirements to obtain finance with the actual requirements set by different finance provider types, and investigates the relation between demographic and socioeconomic factors and farmer knowledge of finance requirements. We use a structured questionnaire to collect data from a sample of finance providers and farmers in Java Island, Indonesia. We find that the most important requirements to acquire finance vary among different finance provider types. We also find that farmers generally have little knowledge of the requirements, which are important to each type of finance provider. Awareness campaigns are needed to increase farmer knowledge of the diversity of requirements among the finance provider types.

Access to finance from different finance provider types: Farmer knowledge of the requirements

PubMed Central

Meuwissen, Miranda P. M.; Karmana, Maman H.; Oude Lansink, Alfons G. J. M.

2017-01-01

Analysing farmer knowledge of the requirements of finance providers can provide valuable insights to policy makers about ways to improve farmers’ access to finance. This study compares farmer knowledge of the requirements to obtain finance with the actual requirements set by different finance provider types, and investigates the relation between demographic and socioeconomic factors and farmer knowledge of finance requirements. We use a structured questionnaire to collect data from a sample of finance providers and farmers in Java Island, Indonesia. We find that the most important requirements to acquire finance vary among different finance provider types. We also find that farmers generally have little knowledge of the requirements, which are important to each type of finance provider. Awareness campaigns are needed to increase farmer knowledge of the diversity of requirements among the finance provider types. PMID:28877174

TPACK Levels of Physics and Science Teacher Candidates: Problems and Possible Solutions

ERIC Educational Resources Information Center

Bozkurt, Ersin

2014-01-01

This research examined whether the technological pedagogical content knowledge (TPACK) of physics and science teachers is at a sufficient level and whether the TPACK level affected the academic achievements of the students. In the research, a mixed method was used quantitatively and qualitatively. In the quantitative part of the research, Provus'…

The Moment of Learning: Quantitative Analysis of Exemplar Gameplay Supports CyGaMEs Approach to Embedded Assessment

ERIC Educational Resources Information Center

Reese, Debbie Denise; Tabachnick, Barbara G.

2010-01-01

In this paper, the authors summarize a quantitative analysis demonstrating that the CyGaMEs toolset for embedded assessment of learning within instructional games measures growth in conceptual knowledge by quantifying player behavior. CyGaMEs stands for Cyberlearning through GaME-based, Metaphor Enhanced Learning Objects. Some scientists of…

Young Children's Core Symbolic and Nonsymbolic Quantitative Knowledge in the Prediction of Later Mathematics Achievement

ERIC Educational Resources Information Center

Geary, David C.; vanMarle, Kristy

2016-01-01

At the beginning of preschool (M = 46 months of age), 197 (94 boys) children were administered tasks that assessed a suite of nonsymbolic and symbolic quantitative competencies as well as their executive functions, verbal and nonverbal intelligence, preliteracy skills, and their parents' education level. The children's mathematics achievement was…

Pre-Service Teachers' Development of Technological Pedagogical Content Knowledge (TPACK) in the Context of a Secondary Science Teacher Education Program

ERIC Educational Resources Information Center

Habowski, Thomas; Mouza, Chrystalla

2014-01-01

This study investigates pre-service teachers' TPACK development in a secondary science teacher education program that combined a content-specific technology integration course with extensive field experience. Both quantitative and qualitative data were collected. Quantitative data were collected through a pre-post administration of the…

A Quantitative Study of Teacher Readiness to Teach School-Based HIV/AIDS Education in Kenyan Primary Schools

ERIC Educational Resources Information Center

Lang'at, Edwin K.

2014-01-01

Purpose and Method of Study: The purpose of this study was to investigate teachers' self-perceived readiness to teach school-based HIV/AIDS Awareness and Prevention education in Kenyan primary schools based on their knowledge, attitudes and instructional confidence. This research utilized a non-experimental quantitative approach with a…

Agricultural science in the wild: a social network analysis of farmer knowledge exchange.

PubMed

Wood, Brennon A; Blair, Hugh T; Gray, David I; Kemp, Peter D; Kenyon, Paul R; Morris, Steve T; Sewell, Alison M

2014-01-01

Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group's members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings' significance for current efforts to rethink agricultural extension.

Diabetes Knowledge Translation Status in Developing Countries: A Mixed Method Study Among Diabetes Researchers in Case of Iran.

PubMed

Valinejadi, Ali; Sadoughi, Farahnaz; Salehi, Masoud

2016-01-01

Despite considerable investment in research, the existing research evidence is frequently not implemented and/or leads to useless or detrimental care in healthcare. The knowledge-practice gap proposed as one of the main causes of not achieving the treatment goals in diabetes. Iran also is facing a difference between the production and utilization of the knowledge of diabetes. The aim of this study was to assess the status of diabetes knowledge translation (KT) in Iran. This was a survey that executed in 2015 by concurrent mixed methods approach in a descriptive, cross-sectional method. The research population was 65 diabetes researchers from 14 diabetes research centers throughout Iran. The research was carried out via the self-assessment tool for research institutes (SATORI), a valid and reliable tool. Focus group discussions were used to complete this tool. The data were analyzed using quantitative (descriptive method by Excel software) and qualitative approaches (thematic analysis) based on SATORI-extracted seven themes. The mean of scores "the question of research," "knowledge production," "knowledge transfer," "promoting the use of evidence," and all aspects altogether were 2.48, 2.80, 2.18, 2.06, and 2.39, respectively. The themes "research quality and timeliness" and "promoting and evaluating the use of evidence" received the lowest (1.91) and highest mean scores (2.94), respectively. Except for the theme "interaction with research users" with a relatively mediocre scores (2.63), the other areas had scores below the mean. The overall status of diabetes KT in Iran was lower than the ideal situation. There are many challenges that require great interventions at the organizational or macro level. To reinforce diabetes KT in Iran, it should hold a more leading and centralized function in the strategies of the country's diabetes research system.

Fostering Students' Conceptual Knowledge in Biology in the Context of German National Education Standards

NASA Astrophysics Data System (ADS)

Förtsch, Christian; Dorfner, Tobias; Baumgartner, Julia; Werner, Sonja; von Kotzebue, Lena; Neuhaus, Birgit J.

2018-04-01

The German National Education Standards (NES) for biology were introduced in 2005. The content part of the NES emphasizes fostering conceptual knowledge. However, there are hardly any indications of what such an instructional implementation could look like. We introduce a theoretical framework of an instructional approach to foster students' conceptual knowledge as demanded in the NES (Fostering Conceptual Knowledge) including instructional practices derived from research on single core ideas, general psychological theories, and biology-specific features of instructional quality. First, we aimed to develop a rating manual, which is based on this theoretical framework. Second, we wanted to describe current German biology instruction according to this approach and to quantitatively analyze its effectiveness. And third, we aimed to provide qualitative examples of this approach to triangulate our findings. In a first step, we developed a theoretically devised rating manual to measure Fostering Conceptual Knowledge in videotaped lessons. Data for quantitative analysis included 81 videotaped biology lessons of 28 biology teachers from different German secondary schools. Six hundred forty students completed a questionnaire on their situational interest after each lesson and an achievement test. Results from multilevel modeling showed significant positive effects of Fostering Conceptual Knowledge on students' achievement and situational interest. For qualitative analysis, we contrasted instruction of four teachers, two with high and two with low student achievement and situational interest using the qualitative method of thematic analysis. Qualitative analysis revealed five main characteristics describing Fostering Conceptual Knowledge. Therefore, implementing Fostering Conceptual Knowledge in biology instruction seems promising. Examples of how to implement Fostering Conceptual Knowledge in instruction are shown and discussed.

Teaching Statistics in Biology: Using Inquiry-based Learning to Strengthen Understanding of Statistical Analysis in Biology Laboratory Courses

PubMed Central

2008-01-01

There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study. PMID:18765754

The Development of Mathematical Knowledge for Teaching for Quantitative Reasoning Using Video-Based Instruction

NASA Astrophysics Data System (ADS)

Walters, Charles David

Quantitative reasoning (P. W. Thompson, 1990, 1994) is a powerful mathematical tool that enables students to engage in rich problem solving across the curriculum. One way to support students' quantitative reasoning is to develop prospective secondary teachers' (PSTs) mathematical knowledge for teaching (MKT; Ball, Thames, & Phelps, 2008) related to quantitative reasoning. However, this may prove challenging, as prior to entering the classroom, PSTs often have few opportunities to develop MKT by examining and reflecting on students' thinking. Videos offer one avenue through which such opportunities are possible. In this study, I report on the design of a mini-course for PSTs that featured a series of videos created as part of a proof-of-concept NSF-funded project. These MathTalk videos highlight the ways in which the quantitative reasoning of two high school students developed over time. Using a mixed approach to grounded theory, I analyzed pre- and postinterviews using an extant coding scheme based on the Silverman and Thompson (2008) framework for the development of MKT. This analysis revealed a shift in participants' affect as well as three distinct shifts in their MKT around quantitative reasoning with distances, including shifts in: (a) quantitative reasoning; (b) point of view (decentering); and (c) orientation toward problem solving. Using the four-part focusing framework (Lobato, Hohensee, & Rhodehamel, 2013), I analyzed classroom data to account for how participants' noticing was linked with the shifts in MKT. Notably, their increased noticing of aspects of MKT around quantitative reasoning with distances, which features prominently in the MathTalk videos, seemed to contribute to the emergence of the shifts in MKT. Results from this study link elements of the learning environment to the development of specific facets of MKT around quantitative reasoning with distances. These connections suggest that vicarious experiences with two students' quantitative reasoning over time was critical for participants' development of MKT.

Quantitative Evaluation of Performance in Interventional Neuroradiology: An Integrated Curriculum Featuring Theoretical and Practical Challenges.

PubMed

Ernst, Marielle; Kriston, Levente; Romero, Javier M; Frölich, Andreas M; Jansen, Olav; Fiehler, Jens; Buhk, Jan-Hendrik

2016-01-01

We sought to develop a standardized curriculum capable of assessing key competencies in Interventional Neuroradiology by the use of models and simulators in an objective, quantitative, and efficient way. In this evaluation we analyzed the associations between the practical experience, theoretical knowledge, and the skills lab performance of interventionalists. We evaluated the endovascular skills of 26 participants of the Advanced Course in Endovascular Interventional Neuroradiology of the European Society of Neuroradiology with a set of three tasks (aneurysm coiling and thrombectomy in a virtual simulator and placement of an intra-aneurysmal flow disruptor in a flow model). Practical experience was assessed by a survey. Participants completed a written and oral examination to evaluate theoretical knowledge. Bivariate and multivariate analyses were performed. In multivariate analysis knowledge of materials and techniques in Interventional Neuroradiology was moderately associated with skills in aneurysm coiling and thrombectomy. Experience in mechanical thrombectomy was moderately associated with thrombectomy skills, while age was negatively associated with thrombectomy skills. We found no significant association between age, sex, or work experience and skills in aneurysm coiling. Our study gives an example of how an integrated curriculum for reasonable and cost-effective assessment of key competences of an interventional neuroradiologist could look. In addition to traditional assessment of theoretical knowledge practical skills are measured by the use of endovascular simulators yielding objective, quantitative, and constructive data for the evaluation of the current performance status of participants as well as the evolution of their technical competency over time.

Applying a Midwifery Lens to Indigenous Health Care Delivery: The Contribution of Campus Learning and Rural Placements to Effecting Systemic Change.

PubMed

Thackrah, Rosalie D; Thompson, Sandra C

2018-01-01

Study background Increasing cultural safety in health settings is essential to address stark health disparities between Indigenous and non-Indigenous Australians. Respect for cultural knowledge, better communication, and recognition of racism as a determinant of health are required for improved service delivery. How this knowledge is acquired in health professional training and translated to clinical settings is poorly understood. Purpose Impacts of an innovative Indigenous health unit and remote clinical placements on knowledge acquisition and attitude change were explored among midwifery students to inform cultural competency initiatives in health professional training. Methods A multiphased, mixed methods research design used surveys, observations, and interviews. Qualitative analysis was strengthened through triangulation with quantitative data. Results A unit conceived with substantial Indigenous Australian input and which privileged these voices enhanced knowledge and shifted attitudes in a positive direction; however, immediate gains diminished over time. Remote placements had a profound effect on student learning. Exposure to Indigenous Australians in classrooms and communities, and the self-reflection generated, helped dispel stereotypes and challenge assumptions based on limited cultural knowledge and contact. Conclusion Optimization of receptivity to Indigenous Australian content and opportunities for remote placements contributed to students' developing cultural capabilities with implications for all health professional training. Whether this heightened awareness is enough to address institutional racism identified in health service delivery remains unanswered. The focus must include those established health practitioners and administrators who influence organizational culture if real systemic change is to occur. Given appropriate on-going support, graduates can play a vital role in expediting this process.

Quantitative assessment of ischemia and reactive hyperemia of the dermal layers using multi - spectral imaging on the human arm

NASA Astrophysics Data System (ADS)

Kainerstorfer, Jana M.; Amyot, Franck; Demos, Stavros G.; Hassan, Moinuddin; Chernomordik, Victor; Hitzenberger, Christoph K.; Gandjbakhche, Amir H.; Riley, Jason D.

2009-07-01

Quantitative assessment of skin chromophores in a non-invasive fashion is often desirable. Especially pixel wise assessment of blood volume and blood oxygenation is beneficial for improved diagnostics. We utilized a multi-spectral imaging system for acquiring diffuse reflectance images of healthy volunteers' lower forearm. Ischemia and reactive hyperemia was introduced by occluding the upper arm with a pressure cuff for 5min with 180mmHg. Multi-spectral images were taken every 30s, before, during and after occlusion. Image reconstruction for blood volume and blood oxygenation was performed, using a two layered skin model. As the images were taken in a non-contact way, strong artifacts related to the shape (curvature) of the arms were observed, making reconstruction of optical / physiological parameters highly inaccurate. We developed a curvature correction method, which is based on extracting the curvature directly from the intensity images acquired and does not require any additional measures on the object imaged. The effectiveness of the algorithm was demonstrated, on reconstruction results of blood volume and blood oxygenation for in vivo data during occlusion of the arm. Pixel wise assessment of blood volume and blood oxygenation was made possible over the entire image area and comparison of occlusion effects between veins and surrounding skin was performed. Induced ischemia during occlusion and reactive hyperemia afterwards was observed and quantitatively assessed. Furthermore, the influence of epidermal thickness on reconstruction results was evaluated and the exact knowledge of this parameter for fully quantitative assessment was pointed out.

Quantitative assessment of thermodynamic constraints on the solution space of genome-scale metabolic models.

PubMed

Hamilton, Joshua J; Dwivedi, Vivek; Reed, Jennifer L

2013-07-16

Constraint-based methods provide powerful computational techniques to allow understanding and prediction of cellular behavior. These methods rely on physiochemical constraints to eliminate infeasible behaviors from the space of available behaviors. One such constraint is thermodynamic feasibility, the requirement that intracellular flux distributions obey the laws of thermodynamics. The past decade has seen several constraint-based methods that interpret this constraint in different ways, including those that are limited to small networks, rely on predefined reaction directions, and/or neglect the relationship between reaction free energies and metabolite concentrations. In this work, we utilize one such approach, thermodynamics-based metabolic flux analysis (TMFA), to make genome-scale, quantitative predictions about metabolite concentrations and reaction free energies in the absence of prior knowledge of reaction directions, while accounting for uncertainties in thermodynamic estimates. We applied TMFA to a genome-scale network reconstruction of Escherichia coli and examined the effect of thermodynamic constraints on the flux space. We also assessed the predictive performance of TMFA against gene essentiality and quantitative metabolomics data, under both aerobic and anaerobic, and optimal and suboptimal growth conditions. Based on these results, we propose that TMFA is a useful tool for validating phenotypes and generating hypotheses, and that additional types of data and constraints can improve predictions of metabolite concentrations. Copyright © 2013 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Quantitative approaches in climate change ecology

PubMed Central

Brown, Christopher J; Schoeman, David S; Sydeman, William J; Brander, Keith; Buckley, Lauren B; Burrows, Michael; Duarte, Carlos M; Moore, Pippa J; Pandolfi, John M; Poloczanska, Elvira; Venables, William; Richardson, Anthony J

2011-01-01

Contemporary impacts of anthropogenic climate change on ecosystems are increasingly being recognized. Documenting the extent of these impacts requires quantitative tools for analyses of ecological observations to distinguish climate impacts in noisy data and to understand interactions between climate variability and other drivers of change. To assist the development of reliable statistical approaches, we review the marine climate change literature and provide suggestions for quantitative approaches in climate change ecology. We compiled 267 peer-reviewed articles that examined relationships between climate change and marine ecological variables. Of the articles with time series data (n = 186), 75% used statistics to test for a dependency of ecological variables on climate variables. We identified several common weaknesses in statistical approaches, including marginalizing other important non-climate drivers of change, ignoring temporal and spatial autocorrelation, averaging across spatial patterns and not reporting key metrics. We provide a list of issues that need to be addressed to make inferences more defensible, including the consideration of (i) data limitations and the comparability of data sets; (ii) alternative mechanisms for change; (iii) appropriate response variables; (iv) a suitable model for the process under study; (v) temporal autocorrelation; (vi) spatial autocorrelation and patterns; and (vii) the reporting of rates of change. While the focus of our review was marine studies, these suggestions are equally applicable to terrestrial studies. Consideration of these suggestions will help advance global knowledge of climate impacts and understanding of the processes driving ecological change.

Ligand and structure-based methodologies for the prediction of the activity of G protein-coupled receptor ligands

NASA Astrophysics Data System (ADS)

Costanzi, Stefano; Tikhonova, Irina G.; Harden, T. Kendall; Jacobson, Kenneth A.

2009-11-01

Accurate in silico models for the quantitative prediction of the activity of G protein-coupled receptor (GPCR) ligands would greatly facilitate the process of drug discovery and development. Several methodologies have been developed based on the properties of the ligands, the direct study of the receptor-ligand interactions, or a combination of both approaches. Ligand-based three-dimensional quantitative structure-activity relationships (3D-QSAR) techniques, not requiring knowledge of the receptor structure, have been historically the first to be applied to the prediction of the activity of GPCR ligands. They are generally endowed with robustness and good ranking ability; however they are highly dependent on training sets. Structure-based techniques generally do not provide the level of accuracy necessary to yield meaningful rankings when applied to GPCR homology models. However, they are essentially independent from training sets and have a sufficient level of accuracy to allow an effective discrimination between binders and nonbinders, thus qualifying as viable lead discovery tools. The combination of ligand and structure-based methodologies in the form of receptor-based 3D-QSAR and ligand and structure-based consensus models results in robust and accurate quantitative predictions. The contribution of the structure-based component to these combined approaches is expected to become more substantial and effective in the future, as more sophisticated scoring functions are developed and more detailed structural information on GPCRs is gathered.

Cooperative Learning for Fostering Knowledge Construction in Japanese High School

ERIC Educational Resources Information Center

Mizuno, Masao

2011-01-01

The purpose of this study is to investigate how cooperative learning approach supports teachers to design an effective teaching for promoting the students learning to construct knowledge in practice. Quantitative and qualitative research methods such as surveys and case studies were employed for data collection. A High School which challenges face…

Examining the Validity of the Technological Pedagogical Content Knowledge (TPACK) Framework for Preservice Chemistry Teachers

ERIC Educational Resources Information Center

Deng, Feng; Chai, Ching Sing; So, Hyo-Jeong; Qian, Yangyi; Chen, Lingling

2017-01-01

While various quantitative measures for assessing teachers' technological pedagogical content knowledge (TPACK) have developed rapidly, few studies to date have comprehensively validated the structure of TPACK through various criteria of validity especially for content specific areas. In this paper, we examined how the TPACK survey measure is…

Knowledge Organization Trends in Library and Information Education: Assessment and Analysis

ERIC Educational Resources Information Center

Alajmi, Bibi; ur Rehman, Sajjad

2016-01-01

This research explores trends in knowledge organization (KO) in library and information science (LIS) curricula in 68 selected schools located in Southeast Asia, Europe, and North America. The research quantitatively analyzed KO course descriptions in order to identify the modules covered in these LIS programs' curricula. Information was gathered…

Measuring the Disparities between Biology Undergraduates' Perceptions and Their Actual Knowledge of Scientific Literature with Clickers

ERIC Educational Resources Information Center

Bandyopadhyay, Aditi

2013-01-01

This article demonstrates an innovative method used to determine the need for information literacy among science undergraduate students at Adelphi University. Using clickers technology, this study measured the disconnect between biology undergraduates' perceived and actual knowledge of scientific literature. The quantitative data collected in the…

Body Mass Index, Nutrient Intakes, Health Behaviours and Nutrition Knowledge: A Quantile Regression Application in Taiwan

ERIC Educational Resources Information Center

Chen, Shih-Neng; Tseng, Jauling

2010-01-01

Objective: To assess various marginal effects of nutrient intakes, health behaviours and nutrition knowledge on the entire distribution of body mass index (BMI) across individuals. Design: Quantitative and distributional study. Setting: Taiwan. Methods: This study applies Becker's (1965) model of health production to construct an individual's BMI…

A Longitudinal Examination of Preservice Teachers' Technological Pedagogical Content Knowledge in the Context of Undergraduate Teacher Education

ERIC Educational Resources Information Center

Mouza, Chrystalla; Nandakumar, Ratna; Yilmaz Ozden, Sule; Karchmer-Klein, Rachel

2017-01-01

This study used longitudinal data to investigate the development of preservice teachers' Technological Pedagogical Content Knowledge (TPACK) throughout their initial teacher education program in the United States. Quantitative and qualitative data were collected at four different points in time. Findings indicated that teacher preparation…

A Degree Is Not Enough: A Quantitative Study of Aspects of Pre-Service Science Teachers' Chemistry Content Knowledge

ERIC Educational Resources Information Center

Kind, Vanessa

2014-01-01

Aspects of chemistry content knowledge held by 265 UK-based pre-service teachers (PSTs) were probed using 28 diagnostic questions in five chemistry concept areas, "Particle theory and changes of state", "Mass conservation" (taught to 11-14-year-olds), and "Chemical bonding", "Mole calculations" and…

Anatomical Knowledge Retention in Third-Year Medical Students Prior to Obstetrics and Gynecology and Surgery Rotations

ERIC Educational Resources Information Center

Jurjus, Rosalyn A.; Lee, Juliet; Ahle, Samantha; Brown, Kirsten M.; Butera, Gisela; Goldman, Ellen F.; Krapf, Jill M.

2014-01-01

Surgical anatomy is taught early in medical school training. The literature shows that many physicians, especially surgical specialists, think that anatomical knowledge of medical students is inadequate and nesting of anatomical sciences later in the clinical curriculum may be necessary. Quantitative data concerning this perception of an…

Student Perceptions of Community-Based Research Partners and the Politics of Knowledge

ERIC Educational Resources Information Center

Kane, Emily W.

2012-01-01

Based on quantitative survey data and qualitative data from journal entries by students in a seminar focused on community-based research, undergraduate student perceptions of community partners are explored in the context of debates about the politics of knowledge. Student perceptions that frame community partners as the recipients of academic…

Publishing Not Perishing: How Research Students Transition from Novice to Knowledgeable Using Systematic Quantitative Literature Reviews

ERIC Educational Resources Information Center

Pickering, Catherine; Grignon, Julien; Steven, Rochelle; Guitart, Daniela; Byrne, Jason

2015-01-01

Current understandings suggest that three aspects of writing practice underpin the research student publication process: knowledge creation, text production and identity formation. Publishing a literature review is the first opportunity most students have to publish. This article compares the pedagogical benefits of different literature review…

Analyzing Preservice Teachers' Technological Pedagogical Content Knowledge Development in the Context of a Multidimensional Teacher Preparation Program

ERIC Educational Resources Information Center

Shinas, Valerie Harlow; Karchmer-Klein, Rachel; Mouza, Chrystalla; Yilmaz-Ozden, Sule; Glutting, Joseph J.

2015-01-01

In this quantitative study, correlational and multiple regression analyses were conducted to examine the technological pedagogical content knowledge (TPACK) development of 299 preservice teachers in response to the technology preparation they received during their initial teacher licensure program. Survey data were analyzed to determine the…

Environmental Health Knowledge, Attitudes and Practices of Students in Grades Four through Eight

ERIC Educational Resources Information Center

Naquin, Millie; Cole, Diane; Bowers, Ashley; Walkwitz, Ed

2011-01-01

The purpose of this study was to investigate environmental health knowledge, attitudes and practices of children enrolled in grades four through eight at a university laboratory school in southeast Louisiana, U.S.A. Quantitative and qualitative questions were completed through an online survey. The children's written responses to the survey…

An Expert System for Designing Fire Prescriptions

Treesearch

Elizabeth Reinhardt

1987-01-01

Managers use prescribed fire to accomplish a variety of resource objectives. The knowledge needed to design successful prescriptions is both quantitative and qualitative. Some of it is available through publications and computer programs, but much of the knowledge of expert practitioners has never been collected or published. An expert system being developed at the,...

Is Judgement of Biotechnological Ethical Aspects Related to High School Students' Knowledge?

ERIC Educational Resources Information Center

Crne-Hladnik, Helena; Hladnik, Ales; Javornik, Branka; Kosmelj, Katarina; Peklaj, Cirila

2012-01-01

Quantitative and qualitative studies of various aspects of the perception of biotechnology were conducted among 469 Slovenian high school students of average age 17 years. Our research aimed to explore relationships among students' pre-knowledge of molecular and human genetics, and their attitudes to four specific biotechnological applications.…

Applying mathematical concepts with hands-on, food-based science curriculum.

PubMed

Roseno, Ashley T; Carraway-Stage, Virginia G; Hoerdeman, Callan; Díaz, Sebastián R; Eugene, Geist; Duffrin, Melani W

2015-01-01

This article addresses the current state of the mathematics education system in the United States and provides a possible solution to the contributing issues. As a result of lower performance in primary mathematics, American students are not acquiring the necessary quantitative literacy skills to become successful adults. This study analyzed the impact of the FoodMASTER Intermediate curriculum on fourth-grade student's mathematics knowledge. The curriculum is a part of the FoodMASTER Initiative, which is a compilation of programs utilizing food, a familiar and necessary part of everyday life, as a tool to teach mathematics and science. Students exposed to the curriculum completed a 20-item researcher-developed mathematics knowledge exam (Intervention n=288; Control n=194). Overall, the results showed a significant increase in mathematics knowledge from pre- to post-test. These findings suggest that students engaged in food-based science activities provided them with the context in which to apply mathematical concepts to an everyday experience. Therefore, the FoodMASTER approach was successful at improving students' mathematics knowledge while building a foundation for becoming quantitatively literate adults.

Applying mathematical concepts with hands-on, food-based science curriculum

PubMed Central

Roseno, Ashley T.; Carraway-Stage, Virginia G.; Hoerdeman, Callan; Díaz, Sebastián R.; Eugene, Geist; Duffrin, Melani W.

2015-01-01

This article addresses the current state of the mathematics education system in the United States and provides a possible solution to the contributing issues. As a result of lower performance in primary mathematics, American students are not acquiring the necessary quantitative literacy skills to become successful adults. This study analyzed the impact of the FoodMASTER Intermediate curriculum on fourth-grade student’s mathematics knowledge. The curriculum is a part of the FoodMASTER Initiative, which is a compilation of programs utilizing food, a familiar and necessary part of everyday life, as a tool to teach mathematics and science. Students exposed to the curriculum completed a 20-item researcher-developed mathematics knowledge exam (Intervention n=288; Control n=194). Overall, the results showed a significant increase in mathematics knowledge from pre- to post-test. These findings suggest that students engaged in food-based science activities provided them with the context in which to apply mathematical concepts to an everyday experience. Therefore, the FoodMASTER approach was successful at improving students’ mathematics knowledge while building a foundation for becoming quantitatively literate adults. PMID:26494927

The Impact of an Informal Science Program on Students' Science Knowledge and Interest

NASA Astrophysics Data System (ADS)

Zandstra, Anne Maria

In this sequential explanatory mixed methods study, quantitative and qualitative data were used to measure the impact of an informal science program on eleventh grade students' science knowledge and interest. The local GEAR UP project has been working for six years with a cohort of students who were in eleventh and twelfth grade during the time of the study. Participants of this study were 122 eleventh grade students from this cohort. In the first, quantitative phase, state standardized test scores and a modified version of the Test of Science Related Attitudes (TOSRA) were used to measure participants' science knowledge and interest respectively. The findings of the quantitative phase revealed a small but significant correlation between students' attendance at the program elements (in total number of hours) and their science knowledge. In addition, small but significant correlations were found between (1) students' attendance at the mathematics program element and their total interest scores, (2) their mathematics attendance and the career interest subscore, and (3) their total attendance and the normality of scientist subscore. The qualitative data in the second phase consisted of focus group interviews with fourteen of the participants. Results of this phase showed that the majority of the focus group participants agreed that they had learned something from the GEAR UP field trips and half of them thought the field trips had impacted their grades and test scores. Furthermore, a majority of the focus group participants concurred that their experiences in the field trips had increased their interest in science. The purpose of the qualitative phase of this study was to provide explanations for the results of the quantitative phase. Explanations for the correlation between attendance and knowledge were that the field trips covered the same content as the formal science classes and that students learned more because they perceived the field trips as fun and hands-on. The correlations between attendance and interest were explained by the fact that students had the opportunity to see interesting aspects of science and interact with real scientists during the field trips.

Evaluation of the educational impact of a special study module on maritime medicine for medical undergraduate students.

PubMed

McCarthy, Nora; O'Flynn, Siun; Murphy, John; Barry, David; Canals, Maria Luisa

2013-01-01

The hazardous occupation of seafaring brings many unique medical challenges. Despite its international nature, maritime medicine does not typically form a part of undergraduate medical studies. A unique and innovative, optional student-selected module (SSM) 'maritime medicine' was offered to medical students. A key objective was to develop students' attitudes to maritime medicine and increase their awareness of the discipline and its specialised nature. The aim of this study was to assess qualitatively and quantitatively the educational impact of the maritime medicine SSM and to improve the module content and design for future academic years. Students' perceived relevance and knowledge before and after the module was assessed using a Likert-based questionnaire. Comparison was made with controls in the post module100 multiple choice question (MCQ) paper. Qualitative feedback was obtained from semi-structured focus student discussion groups and the questionnaire's free comments section. A significant increase in perceived knowledge was seen between pre and post module p < 3.45 × 10-10, matched with the module students performing significantly better than controls in the end-of-module MCQ paper (p < 8.99 × 10-20). Qualitative analysis revealed 5 main themes: teaching methods, appreciation of non-academic instructors, appreciation of maritime medicine unique requirements, timetabling and enjoyment. This unique and innovative maritime medicine module harnessed local expertise and raised the awareness and profile of maritime medicine among undergraduate medical students. It was very well received and had a significant educational impact. Practical teaching methods were highly valued by students, with these areas also performing best in quantitative analysis.

Middle school students' earthquake content and preparedness knowledge - A mixed method study

NASA Astrophysics Data System (ADS)

Henson, Harvey, Jr.

The purpose of this study was to assess the effect of earthquake instruction on students' earthquake content and preparedness for earthquakes. This study used an innovative direct instruction on earthquake science content and concepts with an inquiry-based group activity on earthquake safety followed by an earthquake simulation and preparedness video to help middle school students understand and prepare for the regional seismic threat. A convenience sample of 384 sixth and seventh grade students at two small middle schools in southern Illinois was used in this study. Qualitative information was gathered using open-ended survey questions, classroom observations, and semi-structured interviews. Quantitative data were collected using a 21 item content questionnaire administered to test students' General Earthquake Knowledge, Local Earthquake Knowledge, and Earthquake Preparedness Knowledge before and after instruction. A pre-test and post-test survey Likert scale with 21 items was used to collect students' perceptions and attitudes. Qualitative data analysis included quantification of student responses to the open-ended questions and thematic analysis of observation notes and interview transcripts. Quantitative datasets were analyzed using descriptive and inferential statistical methods, including t tests to evaluate the differences in means scores between paired groups before and after interventions and one-way analysis of variance (ANOVA) to test for differences between mean scores of the comparison groups. Significant mean differences between groups were further examined using a Dunnett's C post hoc statistical analysis. Integration and interpretation of the qualitative and quantitative results of the study revealed a significant increase in general, local and preparedness earthquake knowledge among middle school students after the interventions. The findings specifically indicated that these students felt most aware and prepared for an earthquake after an intervention that consisted of an inquiry-based group discussion on safety, earthquake content presentation and earthquake simulation video presentation on preparedness. Variations of the intervention, including no intervention, were not as effective in significantly increasing students' conceptual learning of earthquake knowledge.

Scene-based nonuniformity correction technique that exploits knowledge of the focal-plane array readout architecture.

PubMed

Narayanan, Balaji; Hardie, Russell C; Muse, Robert A

2005-06-10

Spatial fixed-pattern noise is a common and major problem in modern infrared imagers owing to the nonuniform response of the photodiodes in the focal plane array of the imaging system. In addition, the nonuniform response of the readout and digitization electronics, which are involved in multiplexing the signals from the photodiodes, causes further nonuniformity. We describe a novel scene based on a nonuniformity correction algorithm that treats the aggregate nonuniformity in separate stages. First, the nonuniformity from the readout amplifiers is corrected by use of knowledge of the readout architecture of the imaging system. Second, the nonuniformity resulting from the individual detectors is corrected with a nonlinear filter-based method. We demonstrate the performance of the proposed algorithm by applying it to simulated imagery and real infrared data. Quantitative results in terms of the mean absolute error and the signal-to-noise ratio are also presented to demonstrate the efficacy of the proposed algorithm. One advantage of the proposed algorithm is that it requires only a few frames to obtain high-quality corrections.

[Qualitative research methodology in health care].

PubMed

Bedregal, Paula; Besoain, Carolina; Reinoso, Alejandro; Zubarew, Tamara

2017-03-01

Health care research requires different methodological approaches such as qualitative and quantitative analyzes to understand the phenomena under study. Qualitative research is usually the least considered. Central elements of the qualitative method are that the object of study is constituted by perceptions, emotions and beliefs, non-random sampling by purpose, circular process of knowledge construction, and methodological rigor throughout the research process, from quality design to the consistency of results. The objective of this work is to contribute to the methodological knowledge about qualitative research in health services, based on the implementation of the study, “The transition process from pediatric to adult services: perspectives from adolescents with chronic diseases, caregivers and health professionals”. The information gathered through the qualitative methodology facilitated the understanding of critical points, barriers and facilitators of the transition process of adolescents with chronic diseases, considering the perspective of users and the health team. This study allowed the design of a transition services model from pediatric to adult health services based on the needs of adolescents with chronic diseases, their caregivers and the health team.

Why do patients in acute care hospitals fall? Can falls be prevented?

PubMed

Dykes, Patricia C; Carroll, Diane L; Hurley, Ann C; Benoit, Angela; Middleton, Blackford

2009-06-01

Obtain the views of nurses and assistants as to why patients in acute care hospitals fall. Despite a large quantitative evidence base for guiding fall risk assessment and not needing highly technical, scarce, or expensive equipment to prevent falls, falls are serious problems in hospitals. Basic content analysis methods were used to interpret descriptive data from 4 focus groups with nurses (n = 23) and 4 with assistants (n = 19). A 2-person consensus approach was used for analysis. Positive and negative components of 6 concepts-patient report, information access, signage, environment, teamwork, and involving patient/family-formed 2 core categories: knowledge/ communication and capability/actions that are facilitators or barriers, respectively, to preventing falls. Two conditions are required to reduce patient falls. A patient care plan including current and accurate fall risk status with associated tailored and feasible interventions needs to be easily and immediately accessible to all stakeholders (entire healthcare team, patients, and family). Second, stakeholders must use that information plus their own knowledge and skills and patient and hospital resources to carry out the plan.

Why Do Patients in Acute Care Hospitals Fall? Can Falls Be Prevented?

PubMed Central

Dykes, Patricia C.; Carroll, Diane L.; Hurley, Ann C.; Benoit, Angela; Middleton, Blackford

2011-01-01

Objective Obtain the views of nurses and assistants as to why patients in acute care hospitals fall. Background Despite a large quantitative evidence base for guiding fall risk assessment and not needing highly technical, scarce, or expensive equipment to prevent falls, falls are serious problems in hospitals. Methods Basic content analysis methods were used to interpret descriptive data from 4 focus groups with nurses (n = 23) and 4 with assistants (n = 19). A 2-person consensus approach was used for analysis. Results Positive and negative components of 6 concepts—patient report, information access, signage, environment, teamwork, and involving patient/family—formed 2 core categories: knowledge/communication and capability/actions that are facilitators or barriers, respectively, to preventing falls. Conclusion Two conditions are required to reduce patient falls. A patient care plan including current and accurate fall risk status with associated tailored and feasible interventions needs to be easily and immediately accessible to all stakeholders (entire healthcare team, patients, and family). Second, stakeholders must use that information plus their own knowledge and skills and patient and hospital resources to carry out the plan. PMID:19509605

Mathematical calculation skills required for drug administration in undergraduate nursing students to ensure patient safety: A descriptive study: Drug calculation skills in nursing students.

PubMed

Bagnasco, Annamaria; Galaverna, Lucia; Aleo, Giuseppe; Grugnetti, Anna Maria; Rosa, Francesca; Sasso, Loredana

2016-01-01

In the literature we found many studies that confirmed our concerns about nursing students' poor maths skills that directly impact on their ability to correctly calculate drug dosages with very serious consequences for patient safety. The aim of our study was to explore where students had most difficulty and identify appropriate educational interventions to bridge their mathematical knowledge gaps. This was a quali-quantitative descriptive study that included a sample of 726 undergraduate nursing students. We identified exactly where students had most difficulty and identified appropriate educational interventions to bridge their mathematical knowledge gaps. We found that the undergraduate nursing students mainly had difficulty with basic maths principles. Specific learning interventions are needed to improve their basic maths skills and their dosage calculation skills. For this purpose, we identified safeMedicate and eDose (Authentic World Ltd.), only that they are only available in English. In the near future we hope to set up a partnership to work together on the Italian version of these tools. Copyright © 2015 Elsevier Ltd. All rights reserved.

Active stability augmentation of large space structures: A stochastic control problem

NASA Technical Reports Server (NTRS)

Balakrishnan, A. V.

1987-01-01

A problem in SCOLE is that of slewing an offset antenna on a long flexible beam-like truss attached to the space shuttle, with rather stringent pointing accuracy requirements. The relevant methodology aspects in robust feedback-control design for stability augmentation of the beam using on-board sensors is examined. It is framed as a stochastic control problem, boundary control of a distributed parameter system described by partial differential equations. While the framework is mathematical, the emphasis is still on an engineering solution. An abstract mathematical formulation is developed as a nonlinear wave equation in a Hilbert space. That the system is controllable is shown and a feedback control law that is robust in the sense that it does not require quantitative knowledge of system parameters is developed. The stochastic control problem that arises in instrumenting this law using appropriate sensors is treated. Using an engineering first approximation which is valid for small damping, formulas for optimal choice of the control gain are developed.

Exploiting Lipid Permutation Symmetry to Compute Membrane Remodeling Free Energies.

PubMed

Bubnis, Greg; Risselada, Herre Jelger; Grubmüller, Helmut

2016-10-28

A complete physical description of membrane remodeling processes, such as fusion or fission, requires knowledge of the underlying free energy landscapes, particularly in barrier regions involving collective shape changes, topological transitions, and high curvature, where Canham-Helfrich (CH) continuum descriptions may fail. To calculate these free energies using atomistic simulations, one must address not only the sampling problem due to high free energy barriers, but also an orthogonal sampling problem of combinatorial complexity stemming from the permutation symmetry of identical lipids. Here, we solve the combinatorial problem with a permutation reduction scheme to map a structural ensemble into a compact, nondegenerate subregion of configuration space, thereby permitting straightforward free energy calculations via umbrella sampling. We applied this approach, using a coarse-grained lipid model, to test the CH description of bending and found sharp increases in the bending modulus for curvature radii below 10 nm. These deviations suggest that an anharmonic bending term may be required for CH models to give quantitative energetics of highly curved states.

Calibration-free quantification of absolute oxygen saturation based on the dynamics of photoacoustic signals

PubMed Central

Xia, Jun; Danielli, Amos; Liu, Yan; Wang, Lidai; Maslov, Konstantin; Wang, Lihong V.

2014-01-01

Photoacoustic tomography (PAT) is a hybrid imaging technique that has broad preclinical and clinical applications. Based on the photoacoustic effect, PAT directly measures specific optical absorption, which is the product of the tissue-intrinsic optical absorption coefficient and the local optical fluence. Therefore, quantitative PAT, such as absolute oxygen saturation (sO2) quantification, requires knowledge of the local optical fluence, which can be estimated only through invasive measurements or sophisticated modeling of light transportation. In this work, we circumvent this requirement by taking advantage of the dynamics in sO2. The new method works when the sO2 transition can be simultaneously monitored with multiple wavelengths. For each wavelength, the ratio of photoacoustic amplitudes measured at different sO2 states is utilized. Using the ratio cancels the contribution from optical fluence and allows calibration-free quantification of absolute sO2. The new method was validated through both phantom and in vivo experiments. PMID:23903146

2D and 3D X-ray phase retrieval of multi-material objects using a single defocus distance.

PubMed

Beltran, M A; Paganin, D M; Uesugi, K; Kitchen, M J

2010-03-29

A method of tomographic phase retrieval is developed for multi-material objects whose components each has a distinct complex refractive index. The phase-retrieval algorithm, based on the Transport-of-Intensity equation, utilizes propagation-based X-ray phase contrast images acquired at a single defocus distance for each tomographic projection. The method requires a priori knowledge of the complex refractive index for each material present in the sample, together with the total projected thickness of the object at each orientation. The requirement of only a single defocus distance per projection simplifies the experimental setup and imposes no additional dose compared to conventional tomography. The algorithm was implemented using phase contrast data acquired at the SPring-8 Synchrotron facility in Japan. The three-dimensional (3D) complex refractive index distribution of a multi-material test object was quantitatively reconstructed using a single X-ray phase-contrast image per projection. The technique is robust in the presence of noise, compared to conventional absorption based tomography.

Manpower Systems Integration Factors for Frigate Design in the Turkish Navy

DTIC Science & Technology

2016-12-01

factors for frigate design in the Turkish Navy. The qualitative and quantitative analyses of the correlation between ship design specifications and...frigates. The correlation between the ship design characteristics and the manpower requirements is supported by the quantitative analysis. This... design in the Turkish Navy. The qualitative and quantitative analyses of the correlation between ship design specifications and manpower requirements

Incorporating Multiple-Choice Questions into an AACSB Assurance of Learning Process: A Course-Embedded Assessment Application to an Introductory Finance Course

ERIC Educational Resources Information Center

Santos, Michael R.; Hu, Aidong; Jordan, Douglas

2014-01-01

The authors offer a classification technique to make a quantitative skills rubric more operational, with the groupings of multiple-choice questions to match the student learning levels in knowledge, calculation, quantitative reasoning, and analysis. The authors applied this classification technique to the mid-term exams of an introductory finance…

TREX13 Data Analysis/Modeling

DTIC Science & Technology

2018-03-29

www.apl.washington.edu 29 Mar 2018 To: Dr. Robert H. Headrick Office of Naval Research (Code 322) 875 North Randolph Street Arlington, VA 22203-1995...Benjamin Blake Naval Research Laboratory Defense Technical Information Center DISTRIBUTION STATEMENT A. Approved for public release; distribution is... quantitatively impact sound behavior. To gain quantitative knowledge, TREX13 was designed to contemporaneously measure acoustics quantities and environmental

The Crucible simulation: Behavioral simulation improves clinical leadership skills and understanding of complex health policy change.

PubMed

Cohen, Daniel; Vlaev, Ivo; McMahon, Laurie; Harvey, Sarah; Mitchell, Andy; Borovoi, Leah; Darzi, Ara

2017-05-11

The Health and Social Care Act 2012 represents the most complex National Health Service reforms in history. High-quality clinical leadership is important for successful implementation of health service reform. However, little is known about the effectiveness of current leadership training. This study describes the use of a behavioral simulation to improve the knowledge and leadership of a cohort of medical doctors expected to take leadership roles in the National Health Service. A day-long behavioral simulation (The Crucible) was developed and run based on a fictitious but realistic health economy. Participants completed pre- and postsimulation questionnaires generating qualitative and quantitative data. Leadership skills, knowledge, and behavior change processes described by the "theory of planned behavior" were self-assessed pre- and postsimulation. Sixty-nine medical doctors attended. Participants deemed the simulation immersive and relevant. Significant improvements were shown in perceived knowledge, capability, attitudes, subjective norms, intentions, and leadership competency following the program. Nearly one third of participants reported that they had implemented knowledge and skills from the simulation into practice within 4 weeks. This study systematically demonstrates the effectiveness of behavioral simulation for clinical management training and understanding of health policy reform. Potential future uses and strategies for analysis are discussed. High-quality care requires understanding of health systems and strong leadership. Policymakers should consider the use of behavioral simulation to improve understanding of health service reform and development of leadership skills in clinicians, who readily adopt skills from simulation into everyday practice.

Reporting adverse drug reactions: contribution, knowledge and perception of German pharmacy professionals.

PubMed

Laven, Anna; Schmitz, Katharina; Franzen, Wilhelm-Hubertus

2018-06-16

Background The detection, assessment and prevention of adverse drug reactions along the product's life cycle is known as pharmacovigilance. German pharmacists are obliged by law to conduct pharmacovigilance measures, a specific training is not required. Objectives To assess the knowledge, contribution and perception of German pharmacy professionals regarding pharmacovigilance activities, in order to identify their needs to report better on the issue. Setting A semi-quantitative survey among German pharmacy professionals was conducted in November 2017. Method A questionnaire with 20 questions was developed and distributed to pharmacy professionals in four different German regions. Main outcome measures To assess the knowledge the number of right answered questions were examined; for perception a six-point-Likert was used and for contribution, yes or no questions. Results The participation ratio was 64.5% (n = 127). Nearly half of the participants (47.2%, n = 60) stated that they had already reported adverse drug reactions. Regarding the knowledge questions, there was neither a statistically significant difference between the correct answers of pharmacists and pharmacy technical assistents (p = 0.7209), nor between the different regions (p > 0.5054). For better reporting, the participants recommended better training, shorter forms to fill in and/or a contact person to call. Conclusion For the successful integration of pharmacovigilance reporting in daily practice, we suggest the following: (1) A structured, mandatory training of the pharmacy team. (2) The preparation of a standard operating procedure for the pharmacy or its integration into the pharmacy software.

49 CFR 383.117 - Requirements for passenger endorsement.

Code of Federal Regulations, 2011 CFR

2011-10-01

... COMMERCIAL DRIVER'S LICENSE STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.117... following additional knowledge and skills test requirements. (a) Knowledge test. All applicants for the... procedures not otherwise specified. (b) Skills test. To obtain a passenger endorsement applicable to a...

Knowledge, attitudes and practices on adolescent vaccination among parents, teachers and adolescents in Africa: a systematic review protocol

PubMed Central

2014-01-01

Background Vaccines are the most successful and cost-effective public health interventions available to avert vaccine-preventable diseases and deaths. Despite progress in the field of adolescent health, many young people in Africa still get sick and die from vaccine-preventable diseases due to lack of vaccination. Parents, adolescents and teachers are key players with regard to implementation of adolescent vaccination policies. Therefore, understanding their knowledge, attitudes and practices towards adolescent vaccination may provide clues on what can be done to improve vaccine uptake among adolescents. The aim of this study is to conduct a qualitative and quantitative systematic review on knowledge, attitudes and practices on adolescent vaccination among parents, teachers and adolescents in Africa. Methods We will include both quantitative and qualitative primary studies. Eligible quantitative studies include both intervention and observational studies. Qualitative studies to be included are focus group discussions, direct observations, in-depth interviews and case ethnographic studies. We will search PubMed, Cochrane Central Register of Controlled Trials, Scopus, Web of Science, WHOLIS, Africa Wide and CINAHL for eligible studies with no time and language limits. We will also check reference lists of included studies for other eligible reports. Two authors will independently screen the search output, select studies and extract data, resolving discrepancies by consensus and discussion. We will analyse qualitative data using thematic analysis where applicable, and quantitative studies findings will be presented in a narrative synthesis form based on the outcomes. Discussion The findings from this systematic review will guide the identification of gaps on knowledge, attitudes and practices among the key role players on adolescent vaccination. We anticipate that our findings will guide the development of adolescent-focused vaccination policy in Africa, which is virtually non-existent at present. Systematic review registration This review is registered with PROSPERO, registration number CRD42014010395. PMID:25200458

Ecological Literacy, Urban Green Space, and Mobile Technology: Exploring the Impacts of an Arboretum Curriculum Designed for Undergraduate Biology Courses

NASA Astrophysics Data System (ADS)

Phoebus, Patrick E.

Increasing individual ecological literacy levels may help citizens make informed choices about the environmental challenges facing society. The purpose of this study was to explore the impacts of an arboretum curriculum incorporating mobile technology and an urban greenspace on the ecological knowledge, environmental attitudes and beliefs, and environmental behaviors of undergraduate biology students and pre-service K-8 teachers during a summer course. Using a convergent parallel mixed-methods design, both quantitative and qualitative data were collected, analyzed, and later merged to create an enhanced understanding of the impact of the curriculum on the environmental attitudes and beliefs of the participants. Quantitative results revealed a significant difference between pre- and post-survey scores for ecological knowledge, with no significant differences between pre- and post-scores for the other variables measured. However, no significant difference in scores was found between experimental and comparison groups for any of the three variables. When the two data sets were compared, results from the quantitative and qualitative components were found to converge and diverge. Quantitative data indicated the environmental attitudes and beliefs of participants were unaffected by the arboretum curriculum. Similarly, qualitative data indicated participants' perceived environmental attitudes and beliefs about the importance of nature remained unchanged throughout the course of the study. However, qualitative data supporting the theme connecting with the curriculum suggested experiences with the arboretum curriculum helped participants develop an appreciation for trees and nature and led them to believe they increased their knowledge about trees.

Knowledge Management and Information Technology in Customer Support: A Quantitative Assessment of the U.S. Navy's Distance Support Program

ERIC Educational Resources Information Center

O'Malley, Kevin Dermit

2010-01-01

Centralized customer support is an established industry method used to improve revenue and profitability. What remains unknown is whether this cost-saving commercial business practice is similarly applicable to the unique, often isolated military environment. This research study statistically tested a theoretical framework for knowledge management…

A Quantitative Assessment of the Cultural Knowledge, Attitudes, and Experiences of Junior and Senior Dietetics Students

ERIC Educational Resources Information Center

McArthur, Laura H.; Greathouse, Karen R.; Smith, Erskine R.; Holbert, Donald

2011-01-01

Objective: To assess the cultural competence of dietetics majors. Design: Self-administered questionnaire. Setting: Classrooms at 7 universities. Participants: Two hundred eighty-three students--98 juniors (34.6%) and 185 seniors (65.4%)--recruited during class time. Main Outcome Measures: Knowledge was measured using a multiple-choice test,…

The Influence of Organizational Culture on Affinity for Knowledge Management Practices of Registered Nurses

ERIC Educational Resources Information Center

Allen, Gregory

2013-01-01

This study addressed the problems of hospitals' duplicated effort and ad hoc knowledge management (KM) practices. The purpose of this quantitative study was to examine the focus and type of organizational culture in order to describe and predict the relationship between organizational culture and the affinity for KM of nurses working in health…

Investigating Elementary Principals' Science Beliefs and Knowledge and Its Relationship to Students' Science Outcomes

ERIC Educational Resources Information Center

Khan, Uzma Zafar

2012-01-01

The aim of this quantitative study was to investigate elementary principals' beliefs about reformed science teaching and learning, science subject matter knowledge, and how these factors relate to fourth grade students' superior science outcomes. Online survey methodology was used for data collection and included a demographic…

Investigation of a Pattern between Students' Engagement in Argumentation and Their Science Content Knowledge: A Case Study

ERIC Educational Resources Information Center

Eskin, Handan; Ogan-Bekiroglu, Feral

2009-01-01

The aim of this study was, first, to investigate any pattern between students' quantitative contribution to argumentation and their science understanding, and second, to analyze any relationship between students' qualitative contribution to argumentation and their scientific knowledge. Participants of the study were four tenth-grade students. The…

Interactive Book Reading in Early Education: A Tool to Stimulate Print Knowledge as Well as Oral Language

ERIC Educational Resources Information Center

Mol, Suzanne E.; Bus, Adriana G.; de Jong, Maria T.

2009-01-01

This meta-analysis examines to what extent interactive storybook reading stimulates two pillars of learning to read: vocabulary and print knowledge. The authors quantitatively reviewed 31 (quasi) experiments (n = 2,049 children) in which educators were trained to encourage children to be actively involved before, during, and after joint book…

A Comparative Analysis of New Governance Instruments in the Transnational Educational Space: A Shift to Knowledge-Based Instruments?

ERIC Educational Resources Information Center

Ioannidou, Alexandra

2007-01-01

In recent years, the ongoing development towards a knowledge-based society--associated with globalization, an aging population, new technologies and organizational changes--has led to a more intensive analysis of education and learning throughout life with regard to quantitative, qualitative and financial aspects. In this framework, education…

Relationship Between Health Literacy, Knowledge of Health Status, and Beliefs about HIV/AIDS Transmission among Ryan White Clients in Miami

ERIC Educational Resources Information Center

Mooss, Angela; Brock-Getz, Petra; Ladner, Robert; Fiano, Theresa

2013-01-01

Objective: The aim of this study was to examine the relationships between health literacy, knowledge of health status, and human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) transmission beliefs among recipients of Ryan White care. Design: Quota and convenience sampled, quantitative analysis captured with closed and…

Making Meaning of MSW Students' Statistical Abilities: The Role of Self-Efficacy and Knowledge-Based Assessment

ERIC Educational Resources Information Center

Mirick, Rebecca G.; Davis, Ashley

2017-01-01

Although statistics and research are key components of social work education, students are often described as reluctant consumers and users of statistics. Self-efficacy theory has been used to understand students' engagement with the statistical knowledge needed for practice. This quantitative study explores the relationship between self-efficacy,…

An Investigation of Pattern Problems Posed by Middle School Mathematics Preservice Teachers Using Multiple Representation

ERIC Educational Resources Information Center

Yilmaz, Yasemin; Durmus, Soner; Yaman, Hakan

2018-01-01

This study investigated the pattern problems posed by middle school mathematics preservice teachers using multiple representations to determine both their pattern knowledge levels and their abilities to transfer this knowledge to students. The design of the study is the survey method, one of the quantitative research methods. The study group was…

Verbal Final Exam in Introductory Biology Yields Gains in Student Content Knowledge and Longitudinal Performance

ERIC Educational Resources Information Center

Luckie, Douglas B.; Rivkin, Aaron M.; Aubry, Jacob R.; Marengo, Benjamin J.; Creech, Leah R.; Sweeder, Ryan D.

2013-01-01

We studied gains in student learning over eight semesters in which an introductory biology course curriculum was changed to include optional verbal final exams (VFs). Students could opt to demonstrate their mastery of course material via structured oral exams with the professor. In a quantitative assessment of cell biology content knowledge,…

Leveraging the Relationship: Knowledge Processes in School-University Research Networks of Master's Programmes

ERIC Educational Resources Information Center

Cornelissen, Frank; Daly, Alan J.; Liou, Yi-Hwa; Van Swet, Jacqueline; Beijaard, Douwe; Bergen, Theo C. M.

2015-01-01

This study investigated the way developing, sharing and using of research-based knowledge occurred in the school-university research network of a master's programme for in-service teachers in the Netherlands. Over a 10-month period, a combination of quantitative and qualitative network data was collected. Data were analysed at three network…

Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America☆

PubMed Central

Pepin, K.M.; Spackman, E.; Brown, J.D.; Pabilonia, K.L.; Garber, L.P.; Weaver, J.T.; Kennedy, D.A.; Patyk, K.A.; Huyvaert, K.P.; Miller, R.S.; Franklin, A.B.; Pedersen, K.; Bogich, T.L.; Rohani, P.; Shriner, S.A.; Webb, C.T.; Riley, S.

2014-01-01

Wild birds are the primary source of genetic diversity for influenza A viruses that eventually emerge in poultry and humans. Much progress has been made in the descriptive ecology of avian influenza viruses (AIVs), but contributions are less evident from quantitative studies (e.g., those including disease dynamic models). Transmission between host species, individuals and flocks has not been measured with sufficient accuracy to allow robust quantitative evaluation of alternate control protocols. We focused on the United States of America (USA) as a case study for determining the state of our quantitative knowledge of potential AIV emergence processes from wild hosts to poultry. We identified priorities for quantitative research that would build on existing tools for responding to AIV in poultry and concluded that the following knowledge gaps can be addressed with current empirical data: (1) quantification of the spatio-temporal relationships between AIV prevalence in wild hosts and poultry populations, (2) understanding how the structure of different poultry sectors impacts within-flock transmission, (3) determining mechanisms and rates of between-farm spread, and (4) validating current policy-decision tools with data. The modeling studies we recommend will improve our mechanistic understanding of potential AIV transmission patterns in USA poultry, leading to improved measures of accuracy and reduced uncertainty when evaluating alternative control strategies. PMID:24462191

Knowledge evolution in physics research: An analysis of bibliographic coupling networks

PubMed Central

Nanetti, Andrea; Cheong, Siew Ann

2017-01-01

Even as we advance the frontiers of physics knowledge, our understanding of how this knowledge evolves remains at the descriptive levels of Popper and Kuhn. Using the American Physical Society (APS) publications data sets, we ask in this paper how new knowledge is built upon old knowledge. We do so by constructing year-to-year bibliographic coupling networks, and identify in them validated communities that represent different research fields. We then visualize their evolutionary relationships in the form of alluvial diagrams, and show how they remain intact through APS journal splits. Quantitatively, we see that most fields undergo weak Popperian mixing, and it is rare for a field to remain isolated/undergo strong mixing. The sizes of fields obey a simple linear growth with recombination. We can also reliably predict the merging between two fields, but not for the considerably more complex splitting. Finally, we report a case study of two fields that underwent repeated merging and splitting around 1995, and how these Kuhnian events are correlated with breakthroughs on Bose-Einstein condensation (BEC), quantum teleportation, and slow light. This impact showed up quantitatively in the citations of the BEC field as a larger proportion of references from during and shortly after these events. PMID:28922427

Brain Injury Lesion Imaging Using Preconditioned Quantitative Susceptibility Mapping without Skull Stripping.

PubMed

Soman, S; Liu, Z; Kim, G; Nemec, U; Holdsworth, S J; Main, K; Lee, B; Kolakowsky-Hayner, S; Selim, M; Furst, A J; Massaband, P; Yesavage, J; Adamson, M M; Spincemallie, P; Moseley, M; Wang, Y

2018-04-01

Identifying cerebral microhemorrhage burden can aid in the diagnosis and management of traumatic brain injury, stroke, hypertension, and cerebral amyloid angiopathy. MR imaging susceptibility-based methods are more sensitive than CT for detecting cerebral microhemorrhage, but methods other than quantitative susceptibility mapping provide results that vary with field strength and TE, require additional phase maps to distinguish blood from calcification, and depict cerebral microhemorrhages as bloom artifacts. Quantitative susceptibility mapping provides universal quantification of tissue magnetic property without these constraints but traditionally requires a mask generated by skull-stripping, which can pose challenges at tissue interphases. We evaluated the preconditioned quantitative susceptibility mapping MR imaging method, which does not require skull-stripping, for improved depiction of brain parenchyma and pathology. Fifty-six subjects underwent brain MR imaging with a 3D multiecho gradient recalled echo acquisition. Mask-based quantitative susceptibility mapping images were created using a commonly used mask-based quantitative susceptibility mapping method, and preconditioned quantitative susceptibility images were made using precondition-based total field inversion. All images were reviewed by a neuroradiologist and a radiology resident. Ten subjects (18%), all with traumatic brain injury, demonstrated blood products on 3D gradient recalled echo imaging. All lesions were visible on preconditioned quantitative susceptibility mapping, while 6 were not visible on mask-based quantitative susceptibility mapping. Thirty-one subjects (55%) demonstrated brain parenchyma and/or lesions that were visible on preconditioned quantitative susceptibility mapping but not on mask-based quantitative susceptibility mapping. Six subjects (11%) demonstrated pons artifacts on preconditioned quantitative susceptibility mapping and mask-based quantitative susceptibility mapping; they were worse on preconditioned quantitative susceptibility mapping. Preconditioned quantitative susceptibility mapping MR imaging can bring the benefits of quantitative susceptibility mapping imaging to clinical practice without the limitations of mask-based quantitative susceptibility mapping, especially for evaluating cerebral microhemorrhage-associated pathologies, such as traumatic brain injury. © 2018 by American Journal of Neuroradiology.

Synthesizing qualitative and quantitative evidence on non-financial access barriers: implications for assessment at the district level.

PubMed

O'Connell, Thomas S; Bedford, K Juliet A; Thiede, Michael; McIntyre, Di

2015-06-09

A key element of the global drive to universal health coverage is ensuring access to needed health services for everyone, and to pursue this goal in an equitable way. This requires concerted efforts to reduce disparities in access through understanding and acting on barriers facing communities with the lowest utilisation levels. Financial barriers dominate the empirical literature on health service access. Unless the full range of access barriers are investigated, efforts to promote equitable access to health care are unlikely to succeed. This paper therefore focuses on exploring the nature and extent of non-financial access barriers. We draw upon two structured literature reviews on barriers to access and utilization of maternal, newborn and child health services in Ghana, Bangladesh, Vietnam and Rwanda. One review analyses access barriers identified in published literature using qualitative research methods; the other in published literature using quantitative analysis of household survey data. We then synthesised the key qualitative and quantitative findings through a conjoint iterative analysis. Five dominant themes on non-financial access barriers were identified: ethnicity; religion; physical accessibility; decision-making, gender and autonomy; and knowledge, information and education. The analysis highlighted that non-financial factors pose considerable barriers to access, many of which relate to the acceptability dimension of access and are challenging to address. Another key finding is that quantitative research methods, while yielding important findings, are inadequate for understanding non-financial access barriers in sufficient detail to develop effective responses. Qualitative research is critical in filling this gap. The analysis also indicates that the nature of non-financial access barriers vary considerably, not only between countries but also between different communities within individual countries. To adequately understand access barriers as a basis for developing effective strategies to address them, mixed-methods approaches are required. From an equity perspective, communities with the lowest utilisation levels should be prioritised and the access barriers specific to that community identified. It is, therefore, critical to develop approaches that can be used at the district level to diagnose and act upon access barriers if we are to pursue an equitable path to universal health coverage.

Static headspace gas chromatographic method for quantitative determination of residual solvents in pharmaceutical drug substances according to european pharmacopoeia requirements.

PubMed

Otero, Raquel; Carrera, Guillem; Dulsat, Joan Francesc; Fábregas, José Luís; Claramunt, Juan

2004-11-19

A static headspace (HS) gas chromatographic method for quantitative determination of residual solvents in a drug substance has been developed according to European Pharmacopoeia general procedure. A water-dimethylformamide mixture is proposed as sample solvent to obtain good sensitivity and recovery. The standard addition technique with internal standard quantitation was used for ethanol, tetrahydrofuran and toluene determination. Validation was performed within the requirements of ICH validation guidelines Q2A and Q2B. Selectivity was tested for 36 solvents, and system suitability requirements described in the European Pharmacopoeia were checked. Limits of detection and quantitation, precision, linearity, accuracy, intermediate precision and robustness were determined, and excellent results were obtained.

[Quality control criteria in the surgical management of advanced ovarian cancers].

PubMed

Querleu, D; Narducci, F

2009-12-01

Two concurrent policies can be proposed to improve the quality of care for ovarian cancer surgery: organization of care, audit. The two policies are not to be opposed: the efficacy of any policy must be audited, targets are more rapidly reached and more easily audited when an underlying organization is available. However, the arbitrary definition of criteria is a challenge. The interpretation of results depends on the context of each individual center. There is a definite risk of unwanted effects: competition to reach the cut-off if quantitative caseload criteria are demanded, reduction of the quality of cytoreduction if the complication rate is included, selection of patients if the rate of complete cytoreduction is chosen as a major parameter. Quality control must encompass the standard of preoperative workup, the quality of operative report, the complication rate and the oncological outcome. Although quantitative yearly caseload requirements may contribute to the quality of care, it seems more pertinent to recall the prerequisites that the surgeon must fulfil before undertaking a surgery for ovarian cancer. Knowledge of the specific features of the disease and of all the components of its medical management, skills in general surgical procedures required to complete staging and cytoreduction, and contribution to a multidisciplinary team involved in clinical research are mandatory. Even though no definitive proof is available, the available information tend to show a superiority of the standard of surgical care provided by experienced or specialized surgeons.

Quantitative Evaluation of Performance in Interventional Neuroradiology: An Integrated Curriculum Featuring Theoretical and Practical Challenges

PubMed Central

Ernst, Marielle; Kriston, Levente; Romero, Javier M.; Frölich, Andreas M.; Jansen, Olav; Fiehler, Jens; Buhk, Jan-Hendrik

2016-01-01

Purpose We sought to develop a standardized curriculum capable of assessing key competencies in Interventional Neuroradiology by the use of models and simulators in an objective, quantitative, and efficient way. In this evaluation we analyzed the associations between the practical experience, theoretical knowledge, and the skills lab performance of interventionalists. Materials and Methods We evaluated the endovascular skills of 26 participants of the Advanced Course in Endovascular Interventional Neuroradiology of the European Society of Neuroradiology with a set of three tasks (aneurysm coiling and thrombectomy in a virtual simulator and placement of an intra-aneurysmal flow disruptor in a flow model). Practical experience was assessed by a survey. Participants completed a written and oral examination to evaluate theoretical knowledge. Bivariate and multivariate analyses were performed. Results In multivariate analysis knowledge of materials and techniques in Interventional Neuroradiology was moderately associated with skills in aneurysm coiling and thrombectomy. Experience in mechanical thrombectomy was moderately associated with thrombectomy skills, while age was negatively associated with thrombectomy skills. We found no significant association between age, sex, or work experience and skills in aneurysm coiling. Conclusion Our study gives an example of how an integrated curriculum for reasonable and cost-effective assessment of key competences of an interventional neuroradiologist could look. In addition to traditional assessment of theoretical knowledge practical skills are measured by the use of endovascular simulators yielding objective, quantitative, and constructive data for the evaluation of the current performance status of participants as well as the evolution of their technical competency over time. PMID:26848840

49 CFR 383.110 - General requirement.

Code of Federal Regulations, 2011 CFR

2011-10-01

... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.110 General requirement. All drivers of CMVs must have the knowledge and skills necessary to operate a CMV safely as contained in this subpart. The specific types of items that a State must include in the knowledge and skills tests that it...

Making Quantitative Genetics Relevant: Effectiveness of a Laboratory Investigation that Links Scientific Research, Commercial Applications, and Legal Issues

ERIC Educational Resources Information Center

Rutledge, Michael L.; Mathis, Philip M.; Seipelt, Rebecca L.

2005-01-01

As students apply their knowledge of scientific concepts and of science as a method of inquiry, learning becomes relevant. This laboratory exercise is designed to foster students' understanding of the genetics of quantitative traits and of the nature of science as a method of inquiry by engaging them in a real-world business scenario. During the…

Surveys and questionnaires in nursing research.

PubMed

Timmins, Fiona

2015-06-17

Surveys and questionnaires are often used in nursing research to elicit the views of large groups of people to develop the nursing knowledge base. This article provides an overview of survey and questionnaire use in nursing research, clarifies the place of the questionnaire as a data collection tool in quantitative research design and provides information and advice about best practice in the development of quantitative surveys and questionnaires.

Quantitative image processing in fluid mechanics

NASA Technical Reports Server (NTRS)

Hesselink, Lambertus; Helman, James; Ning, Paul

1992-01-01

The current status of digital image processing in fluid flow research is reviewed. In particular, attention is given to a comprehensive approach to the extraction of quantitative data from multivariate databases and examples of recent developments. The discussion covers numerical simulations and experiments, data processing, generation and dissemination of knowledge, traditional image processing, hybrid processing, fluid flow vector field topology, and isosurface analysis using Marching Cubes.

Unsupervised color normalisation for H and E stained histopathology image analysis

NASA Astrophysics Data System (ADS)

Celis, Raúl; Romero, Eduardo

2015-12-01

In histology, each dye component attempts to specifically characterise different microscopic structures. In the case of the Hematoxylin-Eosin (H&E) stain, universally used for routine examination, quantitative analysis may often require the inspection of different morphological signatures related mainly to nuclei patterns, but also to stroma distribution. Nevertheless, computer systems for automatic diagnosis are often fraught by color variations ranging from the capturing device to the laboratory specific staining protocol and stains. This paper presents a novel colour normalisation method for H&E stained histopathology images. This method is based upon the opponent process theory and blindly estimates the best color basis for the Hematoxylin and Eosin stains without relying on prior knowledge. Stain Normalisation and Color Separation are transversal to any Framework of Histopathology Image Analysis.

Universal fragment descriptors for predicting properties of inorganic crystals

NASA Astrophysics Data System (ADS)

Isayev, Olexandr; Oses, Corey; Toher, Cormac; Gossett, Eric; Curtarolo, Stefano; Tropsha, Alexander

2017-06-01

Although historically materials discovery has been driven by a laborious trial-and-error process, knowledge-driven materials design can now be enabled by the rational combination of Machine Learning methods and materials databases. Here, data from the AFLOW repository for ab initio calculations is combined with Quantitative Materials Structure-Property Relationship models to predict important properties: metal/insulator classification, band gap energy, bulk/shear moduli, Debye temperature and heat capacities. The prediction's accuracy compares well with the quality of the training data for virtually any stoichiometric inorganic crystalline material, reciprocating the available thermomechanical experimental data. The universality of the approach is attributed to the construction of the descriptors: Property-Labelled Materials Fragments. The representations require only minimal structural input allowing straightforward implementations of simple heuristic design rules.

Multi-exponential analysis of magnitude MR images using a quantitative multispectral edge-preserving filter.

PubMed

Bonny, Jean Marie; Boespflug-Tanguly, Odile; Zanca, Michel; Renou, Jean Pierre

2003-03-01

A solution for discrete multi-exponential analysis of T(2) relaxation decay curves obtained in current multi-echo imaging protocol conditions is described. We propose a preprocessing step to improve the signal-to-noise ratio and thus lower the signal-to-noise ratio threshold from which a high percentage of true multi-exponential detection is detected. It consists of a multispectral nonlinear edge-preserving filter that takes into account the signal-dependent Rician distribution of noise affecting magnitude MR images. Discrete multi-exponential decomposition, which requires no a priori knowledge, is performed by a non-linear least-squares procedure initialized with estimates obtained from a total least-squares linear prediction algorithm. This approach was validated and optimized experimentally on simulated data sets of normal human brains.

Creep resistance. [of high temperature alloys

NASA Technical Reports Server (NTRS)

Tien, J. K.; Malu, M.; Purushothaman, S.

1976-01-01

High-temperature structural applications usually require creep resistance because some average stress is maintained for prolonged periods. Alloy and microstructural design guidelines for creep resistance are presented through established knowledge on creep behavior and its functional dependences on alloy microstructure. Important considerations related to creep resistance of alloys as well as those that are harmful to high-temperature properties are examined. Although most of the creep models do not predict observed creep behavior quantitatively, they are sophisticated enough to provide alloy or microstructural design guidelines. It is shown that creep-resistant microstructures are usually in conflict with microstructures that improve such other properties as stress rupture ductility. Greater understanding of the effects of environments on creep and stress rupture behavior of materials is necessary before one can optimally design alloys for applications in different environments.

Universal fragment descriptors for predicting properties of inorganic crystals.

PubMed

Isayev, Olexandr; Oses, Corey; Toher, Cormac; Gossett, Eric; Curtarolo, Stefano; Tropsha, Alexander

2017-06-05

Although historically materials discovery has been driven by a laborious trial-and-error process, knowledge-driven materials design can now be enabled by the rational combination of Machine Learning methods and materials databases. Here, data from the AFLOW repository for ab initio calculations is combined with Quantitative Materials Structure-Property Relationship models to predict important properties: metal/insulator classification, band gap energy, bulk/shear moduli, Debye temperature and heat capacities. The prediction's accuracy compares well with the quality of the training data for virtually any stoichiometric inorganic crystalline material, reciprocating the available thermomechanical experimental data. The universality of the approach is attributed to the construction of the descriptors: Property-Labelled Materials Fragments. The representations require only minimal structural input allowing straightforward implementations of simple heuristic design rules.

Bibliometric indexes, databases and impact factors in cardiology

PubMed Central

Bienert, Igor R C; de Oliveira, Rogério Carvalho; de Andrade, Pedro Beraldo; Caramori, Carlos Antonio

2015-01-01

Bibliometry is a quantitative statistical technique to measure levels of production and dissemination of knowledge, as well as a useful tool to track the development of an scientific area. The valuation of production required for recognition of researchers and magazines is accomplished through tools called bibliometricindexes, divided into quality indicators and scientific impact. Initially developed for monographs of statistical measures especially in libraries, today bibliometrics is mainly used to evaluate productivity of authors and citation repercussion. However, these tools have limitations and sometimes provoke controversies about indiscriminate application, leading to the development of newer indexes. It is important to know the most common search indexes and use it properly even acknowledging its limitations as it has a direct impact in their daily practice, reputation and funds achievement. PMID:26107458

Surface effects on mean inner potentials studied using density functional theory.

PubMed

Pennington, Robert S; Boothroyd, Chris B; Dunin-Borkowski, Rafal E

2015-12-01

Quantitative materials characterization using electron holography frequently requires knowledge of the mean inner potential, but reported experimental mean inner potential measurements can vary widely. Using density functional theory, we have simulated the mean inner potential for materials with a range of different surface conditions and geometries. We use both "thin-film" and "nanowire" specimen geometries. We consider clean bulk-terminated surfaces with different facets and surface reconstructions using atom positions from both structural optimization and experimental data and we also consider surfaces both with and without adsorbates. We find that the mean inner potential is surface-dependent, with the strongest dependency on surface adsorbates. We discuss the outlook and perspective for future mean inner potential measurements. Copyright © 2015 Elsevier B.V. All rights reserved.

Assessment of farmer knowledge of large ruminant health and production in developing village-level biosecurity in northern Lao PDR.

PubMed

Nampanya, S; Rast, L; Khounsy, S; Windsor, P A

2010-12-01

The purpose of this study was to determine baseline knowledge and identify knowledge gaps of farmers on biosecurity, risk of transmission of transboundary diseases and large ruminant health and production in three provinces of northern Laos, Hua Phan (HP), Luang Prabang (LPB) and Xieng Khoung (XK). The survey was conducted in six villages that are project sites for an Australian Centre for International Agricultural Research (ACIAR) project, with two villages located in each of the three provinces. A census survey was conducted by interview with all 238 farmers participating in the ACIAR project, using a structured questionnaire. The interviews were conducted in Lao language and took 1-2 h per farmer. The answers were recorded in Lao and the survey data were translated into English and transcribed into Microsoft Excel, and a linear mixed model in the Genstat statistical analysis package was used to compare quantitative traits between the target provinces. The results showed that the prediction mean of farmer knowledge scores on parasitic disorders, infectious disease, reproduction and nutrition management were significantly different between the target provinces. The prediction mean of farmer knowledge scores on infectious disease questions ranged between 5.11 in HP to 8.54 in XK of 24 marks (P < 0.001). The prediction mean of total knowledge scores was 13.48 in LPB and 19.29 in XK of 42 marks (P < 0.001). The results indicate both the need for and scope required to attain improvements in farmer knowledge of large ruminant health and production. It was concluded that a participatory research and extension programme to address village-level biosecurity and reduce disease risks, plus enhance large ruminant production capabilities of smallholder producers, is a valid and potentially important strategy to address transboundary disease risk and rural poverty in northern Laos. © 2010 Blackwell Verlag GmbH.

Structured Semantic Knowledge Can Emerge Automatically from Predicting Word Sequences in Child-Directed Speech

PubMed Central

Huebner, Philip A.; Willits, Jon A.

2018-01-01

Previous research has suggested that distributional learning mechanisms may contribute to the acquisition of semantic knowledge. However, distributional learning mechanisms, statistical learning, and contemporary “deep learning” approaches have been criticized for being incapable of learning the kind of abstract and structured knowledge that many think is required for acquisition of semantic knowledge. In this paper, we show that recurrent neural networks, trained on noisy naturalistic speech to children, do in fact learn what appears to be abstract and structured knowledge. We trained two types of recurrent neural networks (Simple Recurrent Network, and Long Short-Term Memory) to predict word sequences in a 5-million-word corpus of speech directed to children ages 0–3 years old, and assessed what semantic knowledge they acquired. We found that learned internal representations are encoding various abstract grammatical and semantic features that are useful for predicting word sequences. Assessing the organization of semantic knowledge in terms of the similarity structure, we found evidence of emergent categorical and hierarchical structure in both models. We found that the Long Short-term Memory (LSTM) and SRN are both learning very similar kinds of representations, but the LSTM achieved higher levels of performance on a quantitative evaluation. We also trained a non-recurrent neural network, Skip-gram, on the same input to compare our results to the state-of-the-art in machine learning. We found that Skip-gram achieves relatively similar performance to the LSTM, but is representing words more in terms of thematic compared to taxonomic relations, and we provide reasons why this might be the case. Our findings show that a learning system that derives abstract, distributed representations for the purpose of predicting sequential dependencies in naturalistic language may provide insight into emergence of many properties of the developing semantic system. PMID:29520243

Multiple Intimate Partner Violence Experiences: Knowledge, Access, Utilization and Barriers to Utilization of Resources by Women of the African Diaspora

PubMed Central

Sabri, Bushra; Huerta, Julia; Alexander, Kamila A.; St.Vil, Noelle M.; Campbell, Jacquelyn C.; Callwood, Gloria B.

2016-01-01

Objective This study examined knowledge, access, utilization, and barriers to use of resources among Black women exposed to multiple types of intimate partner violence in Baltimore, Maryland and the U.S. Virgin Islands (USVI). Methods We analyzed quantitative survey data collected by 163 women recruited from primary care, prenatal or family planning clinics in Baltimore and the USVI. In addition we analyzed qualitative data from in-depth interviews with 11 women. Quantitative data were analyzed using descriptive statistics and qualitative data were analyzed using thematic analysis. Results A substantial proportion of Black women with multiple types of violence experiences lacked knowledge of, did not have access to, and did not use resources. Barriers to resource use were identified at the individual, relationship, and community levels. Conclusion There is need for programs to develop awareness, promote access and utilization of resources, and eliminate barriers to resource use among abused Black women. PMID:26548679

Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge.

PubMed

Geerts, Hugo; Dacks, Penny A; Devanarayan, Viswanath; Haas, Magali; Khachaturian, Zaven S; Gordon, Mark Forrest; Maudsley, Stuart; Romero, Klaus; Stephenson, Diane

2016-09-01

Massive investment and technological advances in the collection of extensive and longitudinal information on thousands of Alzheimer patients results in large amounts of data. These "big-data" databases can potentially advance CNS research and drug development. However, although necessary, they are not sufficient, and we posit that they must be matched with analytical methods that go beyond retrospective data-driven associations with various clinical phenotypes. Although these empirically derived associations can generate novel and useful hypotheses, they need to be organically integrated in a quantitative understanding of the pathology that can be actionable for drug discovery and development. We argue that mechanism-based modeling and simulation approaches, where existing domain knowledge is formally integrated using complexity science and quantitative systems pharmacology can be combined with data-driven analytics to generate predictive actionable knowledge for drug discovery programs, target validation, and optimization of clinical development. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Quantitative and qualitative differences in the lexical knowledge of monolingual and bilingual children on the LITMUS-CLT task.

PubMed

Altman, Carmit; Goldstein, Tamara; Armon-Lotem, Sharon

2017-01-01

While bilingual children follow the same milestones of language acquisition as monolingual children do in learning the syntactic patterns of their second language (L2), their vocabulary size in L2 often lags behind compared to monolinguals. The present study explores the comprehension and production of nouns and verbs in Hebrew, by two groups of 5- to 6-year olds with typical language development: monolingual Hebrew speakers (N = 26), and Russian-Hebrew bilinguals (N = 27). Analyses not only show quantitative gaps between comprehension and production and between nouns and verbs, with a bilingual effect in both, but also a qualitative difference between monolinguals and bilinguals in their production errors: monolinguals' errors reveal knowledge of the language rules despite temporary access difficulties, while bilinguals' errors reflect gaps in their knowledge of Hebrew (L2). The nature of Hebrew as a Semitic language allows one to explore this qualitative difference in the semantic and morphological level.

77 FR 41109 - Margin Requirements for Uncleared Swaps for Swap Dealers and Major Swap Participants

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-12

... and specifically requests quantitative data and analysis on the comparative costs and benefits of the... quantitative impact study (``QIS'') to assess the costs and benefits of margin requirements. The results of the...

46 CFR 11.713 - Requirements for maintaining current knowledge of waters to be navigated.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 46 Shipping 1 2010-10-01 2010-10-01 false Requirements for maintaining current knowledge of waters... § 11.713 Requirements for maintaining current knowledge of waters to be navigated. (a) If a first class... current knowledge of the route. Persons using this method of re-familiarization shall certify, when...

Eleven quick tips for running an interdisciplinary short course for new graduate students.

PubMed

Saunders, Timothy E; He, Cynthia Y; Koehl, Patrice; Ong, L L Sharon; So, Peter T C

2018-03-01

Quantitative reasoning and techniques are increasingly ubiquitous across the life sciences. However, new graduate researchers with a biology background are often not equipped with the skills that are required to utilize such techniques correctly and efficiently. In parallel, there are increasing numbers of engineers, mathematicians, and physical scientists interested in studying problems in biology with only basic knowledge of this field. Students from such varied backgrounds can struggle to engage proactively together to tackle problems in biology. There is therefore a need to establish bridges between those disciplines. It is our proposal that the beginning of graduate school is the appropriate time to initiate those bridges through an interdisciplinary short course. We have instigated an intensive 10-day course that brought together new graduate students in the life sciences from across departments within the National University of Singapore. The course aimed at introducing biological problems as well as some of the quantitative approaches commonly used when tackling those problems. We have run the course for three years with over 100 students attending. Building on this experience, we share 11 quick tips on how to run such an effective, interdisciplinary short course for new graduate students in the biosciences.

Attenuation correction with region growing method used in the positron emission mammography imaging system

NASA Astrophysics Data System (ADS)

Gu, Xiao-Yue; Li, Lin; Yin, Peng-Fei; Yun, Ming-Kai; Chai, Pei; Huang, Xian-Chao; Sun, Xiao-Li; Wei, Long

2015-10-01

The Positron Emission Mammography imaging system (PEMi) provides a novel nuclear diagnosis method dedicated for breast imaging. With a better resolution than whole body PET, PEMi can detect millimeter-sized breast tumors. To address the requirement of semi-quantitative analysis with a radiotracer concentration map of the breast, a new attenuation correction method based on a three-dimensional seeded region growing image segmentation (3DSRG-AC) method has been developed. The method gives a 3D connected region as the segmentation result instead of image slices. The continuity property of the segmentation result makes this new method free of activity variation of breast tissues. The threshold value chosen is the key process for the segmentation method. The first valley in the grey level histogram of the reconstruction image is set as the lower threshold, which works well in clinical application. Results show that attenuation correction for PEMi improves the image quality and the quantitative accuracy of radioactivity distribution determination. Attenuation correction also improves the probability of detecting small and early breast tumors. Supported by Knowledge Innovation Project of The Chinese Academy of Sciences (KJCX2-EW-N06)

The state of rehabilitation research: art or science?

PubMed

Tate, Denise G

2006-02-01

Rehabilitation research has been criticized as not standing up enough to the rigors of scientific method to be called "science." The field has been portrayed as slow to promote its scientific achievements and to include them under the rubric of evidence-based rehabilitation. Following in the footsteps of psychology, rehabilitation as a broad-based discipline has faced many similar obstacles in achieving scientific status. Controversy exists about what exactly constitutes rehabilitation science versus its art and its respective multidisciplinary domains. The conception of these domains is directly related to current methods available to assess the state of the discipline and its research accomplishments. I used quantitative methods, such as randomized clinical and/or controlled trials (RCTs) and systematic reviews, to assess the status of rehabilitation research. Findings suggest that, as a field, rehabilitation makes significant contributions to science, measurable by the number and quality of RCTs and systematic reviews conducted so far on topics of critical importance for clinical care. In "artful" complement, qualitative approaches can be used as research tools to aid investigators in seeking knowledge beyond that obtained by quantitative methods, assessing many complexities associated with the various contexts of rehabilitation research. Other requirements to develop a common vision of rehabilitation science are also discussed.

A new method of quantitative cavitation assessment in the field of a lithotripter.

PubMed

Jöchle, K; Debus, J; Lorenz, W J; Huber, P

1996-01-01

Transient cavitation seems to be a very important effect regarding the interaction of pulsed high-energy ultrasound with biologic tissues. Using a newly developed laser optical system we are able to determine the life-span of transient cavities (relative error less than +/- 5%) in the focal region of a lithotripter (Lithostar, Siemens). The laser scattering method is based on the detection of scattered laser light reflected during a bubble's life. This method requires no sort of sensor material in the pathway of the sound field. Thus, the method avoids any interference with bubble dynamics during the measurement. The knowledge of the time of bubble decay allows conclusions to be reached on the destructive power of the cavities. By combining the results of life-span measurements with the maximum bubble radius using stroboscopic photographs we found that the measured time of bubble decay and the predicted time using Rayleigh's law only differs by about 13% even in the case of complex bubble fields. It can be shown that the laser scattering method is feasible to assess cavitation events quantitatively. Moreover, it will enable us to compare different medical ultrasound sources that have the capability to generate cavitation.

CLICK: The new USGS center for LIDAR information coordination and knowledge

USGS Publications Warehouse

Stoker, Jason M.; Greenlee, Susan K.; Gesch, Dean B.; Menig, Jordan C.

2006-01-01

Elevation data is rapidly becoming an important tool for the visualization and analysis of geographic information. The creation and display of three-dimensional models representing bare earth, vegetation, and structures have become major requirements for geographic research in the past few years. Light Detection and Ranging (lidar) has been increasingly accepted as an effective and accurate technology for acquiring high-resolution elevation data for bare earth, vegetation, and structures. Lidar is an active remote sensing system that records the distance, or range, of a laser fi red from an airborne or space borne platform such as an airplane, helicopter or satellite to objects or features on the Earth’s surface. By converting lidar data into bare ground topography and vegetation or structural morphologic information, extremely accurate, high-resolution elevation models can be derived to visualize and quantitatively represent scenes in three dimensions. In addition to high-resolution digital elevation models (Evans et al., 2001), other lidar-derived products include quantitative estimates of vegetative features such as canopy height, canopy closure, and biomass (Lefsky et al., 2002), and models of urban areas such as building footprints and three-dimensional city models (Maas, 2001).

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

PubMed Central

Jewell, Chris P.; Brown, Richard G.

2015-01-01

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

Plasmodium knowlesi transmission: integrating quantitative approaches from epidemiology and ecology to understand malaria as a zoonosis.

PubMed

Brock, P M; Fornace, K M; Parmiter, M; Cox, J; Drakeley, C J; Ferguson, H M; Kao, R R

2016-04-01

The public health threat posed by zoonotic Plasmodium knowlesi appears to be growing: it is increasingly reported across South East Asia, and is the leading cause of malaria in Malaysian Borneo. Plasmodium knowlesi threatens progress towards malaria elimination as aspects of its transmission, such as spillover from wildlife reservoirs and reliance on outdoor-biting vectors, may limit the effectiveness of conventional methods of malaria control. The development of new quantitative approaches that address the ecological complexity of P. knowlesi, particularly through a focus on its primary reservoir hosts, will be required to control it. Here, we review what is known about P. knowlesi transmission, identify key knowledge gaps in the context of current approaches to transmission modelling, and discuss the integration of these approaches with clinical parasitology and geostatistical analysis. We highlight the need to incorporate the influences of fine-scale spatial variation, rapid changes to the landscape, and reservoir population and transmission dynamics. The proposed integrated approach would address the unique challenges posed by malaria as a zoonosis, aid the identification of transmission hotspots, provide insight into the mechanistic links between incidence and land use change and support the design of appropriate interventions.

The Effect of Instructional Technology and Material Design Course to Teacher Candidates' Gaining of Technological Pedagogical Content Knowledge Competencies

ERIC Educational Resources Information Center

Tozkoparam, Süleyman Burak; Kiliç, Muhammet Emre; Usta, Ertugrul

2015-01-01

The aim of this study is to determine Technological Pedagogical Content Knowledge (TPACK) Competencies of teacher candidates in Turkish Teaching department of Mevlana (Rumi) University and the effect of Instructional Technology and Material Design (ITMD) Course on TPACK. The study is a study of quantitative type and single-group pretest-posttest…

Teachers' Subject Matter Knowledge as a Teacher Qualification: A Synthesis of the Quantitative Literature on Students' Mathematics Achievement

ERIC Educational Resources Information Center

Ahn, Soyeon; Choi, Jinyoung

2004-01-01

The aim of this paper is to examine a variety of features of research that might account for mixed findings of the relationship between teachers' subject matter knowledge and student achievement based on meta-analytic technique. Of several variables that might contribute to inconsistencies and variations in study findings, three features of…

Exploring the Learner's Knowledge Construction and Cognitive Patterns of Different Asynchronous Platforms: Comparison of an Online Discussion Forum and Facebook

ERIC Educational Resources Information Center

Hou, Huei-Tse; Wang, Shu-Ming; Lin, Peng-Chun; Chang, Kuo-En

2015-01-01

The primary purpose of this study is to explore the knowledge construction behaviour and cognitive patterns involved in students' online discussion using online forum and Facebook (FB). This study employed quantitative content analysis and lag sequential analysis to examine the content and behavioural patterns of 50 students from a private…

Decision-Making Processes of SME in Cloud Computing Adoption to Create Disruptive Innovation: Mediating Effect of Collaboration

ERIC Educational Resources Information Center

Sonthiprasat, Rattanawadee

2014-01-01

THE PROBLEM. The purpose of this quantitative correlation study was to assess the relationship between different Cloud service levels of effective business innovation for SMEs. In addition, the new knowledge gained from the benefits of Cloud adoption with knowledge sharing would enhance the decision making process for businesses to consider the…

The Relation between Middle School Science Teachers' Science Content Preparation, Professional Development, and Pedagogical Content Knowledge and Their Attitudes and Beliefs towards Inquiry-Based Instruction

ERIC Educational Resources Information Center

Cwik, Lawrence C.

2012-01-01

This study is a quantitative investigation of the relation of middle school science teachers' attitudes and beliefs about inquiry-based instruction to their accumulated amounts of science content preparation, content and pedagogical professional development, and their pedagogical content knowledge. Numerous researchers have found that even though…

Methodological Issues and Further Research in the Study of Reading Comprehension with Different Levels of Knowledge.

ERIC Educational Resources Information Center

Qian, Gaoyin

Some methodological issues in the study of levels of knowledge are reviewed, and needs for further research are explored, drawing on an analysis of 12 studies reported since the late 1970s. In the 12 studies, 16 quantitative experiments were conducted. These were assessed for internal and external validity. Analysis revealed some shortcomings in…

The Impact of an Informal Science Program on Students' Science Knowledge and Interest

ERIC Educational Resources Information Center

Zandstra, Anne Maria

2012-01-01

In this sequential explanatory mixed methods study, quantitative and qualitative data were used to measure the impact of an informal science program on eleventh grade students' science knowledge and interest. The local GEAR UP project has been working for six years with a cohort of students who were in eleventh and twelfth grade during the time of…

Investigating Greek Biology Teachers' Attitudes towards Evolution Teaching with Respect to Their Pedagogical Content Knowledge: Suggestions for Their Professional Development

ERIC Educational Resources Information Center

Stasinakis, Panagiotis K.; Athanasiou, Kyriacos

2016-01-01

Evolution Teaching (ET) among in-service teachers in Greece was examined in an attempt to evaluate their Pedagogical Content Knowledge. Evolution teaching is a problematic issue. For this purpose, we constructed a questionnaire that was distributed to the target population and to which 181 teachers responded. We used quantitative method to…

A Study of Students' Conceptual, Procedural Knowledge, Logical Thinking and Creativity during the First Year of Tertiary Mathematics

ERIC Educational Resources Information Center

Tularam, Gurudeo Anand; Hulsman, Kees

2015-01-01

This study focuses on students in first year environmental science degree programs, where traditionally mathematical emphasis has been much less than within the strict science or math majors. The importance now placed on applied mathematics, however, means that students need to gain more conceptual and quantitative knowledge of mathematics in not…

Lenz's law and dimensional analysis

NASA Astrophysics Data System (ADS)

Pelesko, John A.; Cesky, Michael; Huertas, Sharon

2005-01-01

We show that the time it takes a magnet to fall through a nonmagnetic metallic tube may be found via dimensional analysis. The simple analysis makes this classic demonstration of Lenz's law accessible qualitatively and quantitatively to students with little knowledge of electromagnetism and only elementary knowledge of calculus. The analysis provides a new example of the power and limitations of dimensional analysis.

Broadening the Knowledge of the LPN Long-Term Care Provider: A Pilot Study

ERIC Educational Resources Information Center

Faulk, Debbie; Parker, Francine; Lazenby, Ramona; Morris, Arlene

2008-01-01

There are little data regarding Licensed Practical Nurse (LPN) roles in long-term care settings and how the roles might be expanded or changed to meet the unique needs of the elderly. The purpose of this quantitative descriptive study was to determine if an increase in knowledge occurred in LPN care providers after implementation of a 32-hour…

Back of the Envelope Reasoning for Robust Quantitative Problem Solving

DTIC Science & Technology

2007-12-31

limited numeric vocabulary, for example, the Pirahã tribe in Amazonia [Gordon, 2004] and Munduruku [Pica et al., 2004], an Amazonian language... investigation of category structure: 1. Level of categorization: Rosch [1978] identifies three levels of categorization: subordinate, basic-level...Using Common Sense Knowledge to Overcome Brittleness and Knowledge Acquisition Bottlenecks. AI Magazine . Lenhart K. Schubert and Matthew Tong

An educational programme to improve acute care nurses' knowledge, attitudes and family caregiver involvement in care of people with cognitive impairment.

PubMed

Kang, Yun; Moyle, Wendy; Cooke, Marie; O'Dwyer, Siobhan T

2017-09-01

The population is ageing in South Korea, increasing the incidence of dementia and delirium. Despite this, registered nurses in South Korea tend to have poor understanding and limited involvement in the assessment of delirium. To evaluate the effect of an educational programme on acute care nurses' knowledge, attitudes and the potential for family caregiver involvement in care for older adults with cognitive impairment. A mixed-methods study that included a single group, pre-post design and individual interviews was used. Forty registered nurses were recruited from four medical wards of one regional general hospital in South Korea. A 3-month educational programme on care for older adults with cognitive impairment tailored to the specific learning needs of nurses and guided by adult learning principles was provided to participants. A purposive sample of 12 registered nurses who participated in the quantitative component, and a nominated sample of six family caregivers whose older family members were cared for by participating nurses, joined individual interviews. The educational programme had a positive impact on nurses' knowledge of cognitive impairment and attitudes towards older adults. The qualitative data indicated that the educational programme improved nurses' knowledge of cognitive impairment and their attitudes towards older adults with cognitive impairment. It also increased nurses' initial efforts to involve family caregivers in cognitive impairment care. Educational programmes are an effective means of improving nurses' knowledge and attitudes, but more research is required to explore the impact of such a programme on practice change and patient health-related outcomes including incidence of delirium, length of hospital stay and hospital-acquired complications. © 2016 Nordic College of Caring Science.

Biophysics at the Boundaries: The Next Problem Sets

NASA Astrophysics Data System (ADS)

Skolnick, Malcolm

2009-03-01

The interface between physics and biology is one of the fastest growing subfields of physics. As knowledge of such topics as cellular processes and complex ecological systems advances, researchers have found that progress in understanding these and other systems requires application of more quantitative approaches. Today, there is a growing demand for quantitative and computational skills in biological research and the commercialization of that research. The fragmented teaching of science in our universities still leaves biology outside the quantitative and mathematical culture that is the foundation of physics. This is particularly inopportune at a time when the needs for quantitative thinking about biological systems are exploding. More physicists should be encouraged to become active in research and development in the growing application fields of biophysics including molecular genetics, biomedical imaging, tissue generation and regeneration, drug development, prosthetics, neural and brain function, kinetics of nonequilibrium open biological systems, metabolic networks, biological transport processes, large-scale biochemical networks and stochastic processes in biochemical systems to name a few. In addition to moving into basic research in these areas, there is increasing opportunity for physicists in industry beginning with entrepreneurial roles in taking research results out of the laboratory and in the industries who perfect and market the inventions and developments that physicists produce. In this talk we will identify and discuss emerging opportunities for physicists in biophysical and biotechnological pursuits ranging from basic research through development of applications and commercialization of results. This will include discussion of the roles of physicists in non-traditional areas apart from academia such as patent law, financial analysis and regulatory science and the problem sets assigned in education and training that will enable future biophysicists to fill these roles.

Contribution entrepreneurial knowledge, skills competence, and self-efficacy to student entrepreneurship readiness of multimedia expertise at vocational high school in Malang

NASA Astrophysics Data System (ADS)

Islami, Pio Arfianova Ftirizky; Elmunsyah, Hakkun; Muladi

2017-09-01

This study aims to determine the contribution of entrepreneurship knowledge, skills competence, and self-efficacy to entrepreneurship readiness. The design used in this research using a quantitative approach and knowledge test techniques using regression analysis. The number of samples in this study as many as 181 students. The results showed that there was a significant contribution between entrepreneurship knowledge to entrepreneurship readiness. There is also a significant contribution between the skills competence to entrepreneurship readiness and there is a significant contribution between self-efficacy to entrepreneurship readiness. Futhermore, there is a significant contribution simultaneously between entrepreneurship knowledge, skill competence; self-efficacy to entrepreneurship readiness.

Miniature Time-of-Flight Mass Spectrometer

NASA Technical Reports Server (NTRS)

Potember, Richard S.

1999-01-01

Major advances must occur to protect astronauts from prolonged periods in near-zero gravity and high radiation associated with extended space travel. The dangers of living in space must be thoroughly understood and methods developed to reverse those effects that cannot be avoided. Six of the seven research teams established by the National Space Biomedical Research Institute (NSBRI) are studying biomedical factors for prolonged space travel to deliver effective countermeasures. To develop effective countermeasures, each of these teams require identification of and quantitation of complex pharmacological, hormonal, and growth factor compounds (biomarkers) in humans and in experimental animals to develop an in-depth knowledge of the physiological changes associated with space travel. At present, identification of each biomarker requires a separate protocol. Many of these procedures are complicated and the identification of each biomarker requires a separate protocol and associated laboratory equipment. To carry all of this equipment and chemicals on a spacecraft would require a complex clinical laboratory; and it would occupy much of the astronauts time. What is needed is a small, efficient, broadband medical diagnostic instrument to rapidly identify important biomarkers for human space exploration. The Miniature Time-Of- Flight Mass Spectrometer Project in the Technology Development Team is developing a small, high resolution, time-of-flight mass spectrometer (TOFMS) to quantitatively measure biomarkers for human space exploration. Virtues of the JHU/APL TOFMS technologies reside in the promise for a small (less than one cubic ft), lightweight (less than 5 kg), low-power (less than 50 watts), rugged device that can be used continuously with advanced signal processing diagnostics. To date, the JHU/APL program has demonstrated mass capability from under 100 to beyond 10,000 atomic mass units (amu) in a very small, low power prototype for biological analysis. Further, the electronic nature of the TOFMS output makes it ideal for rapid telemetry to earth for in-depth analysis by ground support teams.

The use of astronomy questions as an instrument to detect student's misconceptions regarding physics concepts at high school level by using CRI (Certainty of Response Index) as identification methods

NASA Astrophysics Data System (ADS)

Utami, D. N.; Wulandari, H. R. T.

2016-11-01

The aim of this research is to detect misconceptions in the concept of physics at high school level by using astronomy questions as a testing instrument. Misconception is defined as a thought or an idea that is different from what has been agreed by experts who are reliable in the field, and it is believed to interfere with the acquisition of new understanding and integration of new knowledge or skills. While lack of concept or knowledge can be corrected with the next instruction and learning, students who have misconceptions have to “unlearn” their misconception before learning a correct one. Therefore, the ability to differentiate between these two things becomes crucial. CRI is one of the methods that can identify efficiently, between misconceptions and lack of knowledge that occur in the students. This research used quantitative- descriptive method with ex-post-facto research approach. An instrument used for the test is astronomy questions that require an understanding of physics concepts to solve the problem. By using astronomy questions, it is expected to raise a better understanding such that a concept can be viewed from various fields of science. Based on test results, misconceptions are found on several topics of physics. This test also revealed that student's ability to analyse a problem is still quite low.

Knowledge, Perceptions and Acceptability to Strengthening Adolescents’ Sexual and Reproductive Health Education amongst Secondary Schools in Gulu District

PubMed Central

Herman, Lule; Ovuga, E.; Mshilla, M.; Ojara, S.; Kimbugwe, G.; Adrawa, A. P.; Mahuro, N.

2014-01-01

Adolescents in Northern Uganda are at risk of teenage pregnancies, unsafe abortions and sexually transmitted infections (STIs). There is silence on sex both at home and school. This cross sectional descriptive analytical study interviews a random sample of 827 students and 13 teachers on knowledge, perception and acceptability to a comprehensive adolescent sexual and reproductive health education in “O” and “A” level secondary schools in Gulu District. Quantitative data was analysed using SPSS 16.0. Directed content analysis of themes of transcribed qualitative data was conducted manually for common codes, sub-categories and categories. Of the 827 students; 54.3% (449) reported being in a sexual relationship especially those aged 15–17 years. Majority 96.1% (807) supported the teaching of a comprehensive ASRHE, citing no negative impact 71.5% (601). Majority 81.6% (686) agreed that such education could help prevention of STIs, abortions and teenage pregnancies, and that it should be taught by health workers 69.0% (580). Majority 76.6% (203) reported that ASRHE was not currently being taught in their schools. Students had low knowledge levels and misconceptions about ASRHE. ASRHE was highly acceptable though not being emphasized; its success in school settings requires multidisciplinary culturally sensitive approaches amongst which health workers should be frontiers. PMID:24748950

The ACCE method: an approach for obtaining quantitative or qualitative estimates of residual confounding that includes unmeasured confounding

PubMed Central

Smith, Eric G.

2015-01-01

Background:  Nonrandomized studies typically cannot account for confounding from unmeasured factors.  Method:  A method is presented that exploits the recently-identified phenomenon of  “confounding amplification” to produce, in principle, a quantitative estimate of total residual confounding resulting from both measured and unmeasured factors.  Two nested propensity score models are constructed that differ only in the deliberate introduction of an additional variable(s) that substantially predicts treatment exposure.  Residual confounding is then estimated by dividing the change in treatment effect estimate between models by the degree of confounding amplification estimated to occur, adjusting for any association between the additional variable(s) and outcome. Results:  Several hypothetical examples are provided to illustrate how the method produces a quantitative estimate of residual confounding if the method’s requirements and assumptions are met.  Previously published data is used to illustrate that, whether or not the method routinely provides precise quantitative estimates of residual confounding, the method appears to produce a valuable qualitative estimate of the likely direction and general size of residual confounding. Limitations:  Uncertainties exist, including identifying the best approaches for: 1) predicting the amount of confounding amplification, 2) minimizing changes between the nested models unrelated to confounding amplification, 3) adjusting for the association of the introduced variable(s) with outcome, and 4) deriving confidence intervals for the method’s estimates (although bootstrapping is one plausible approach). Conclusions:  To this author’s knowledge, it has not been previously suggested that the phenomenon of confounding amplification, if such amplification is as predictable as suggested by a recent simulation, provides a logical basis for estimating total residual confounding. The method's basic approach is straightforward.  The method's routine usefulness, however, has not yet been established, nor has the method been fully validated. Rapid further investigation of this novel method is clearly indicated, given the potential value of its quantitative or qualitative output. PMID:25580226

14 CFR 63.53 - Knowledge requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Knowledge requirements. 63.53 Section 63.53 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: FLIGHT CREWMEMBERS OTHER THAN PILOTS Flight Navigators § 63.53 Knowledge requirements. (a) An...

14 CFR 65.75 - Knowledge requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 2 2011-01-01 2011-01-01 false Knowledge requirements. 65.75 Section 65.75 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: AIRMEN OTHER THAN FLIGHT CREWMEMBERS Mechanics § 65.75 Knowledge requirements. (a) Each applicant...

14 CFR 65.75 - Knowledge requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Knowledge requirements. 65.75 Section 65.75 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: AIRMEN OTHER THAN FLIGHT CREWMEMBERS Mechanics § 65.75 Knowledge requirements. (a) Each applicant...

14 CFR 65.55 - Knowledge requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 2 2011-01-01 2011-01-01 false Knowledge requirements. 65.55 Section 65.55 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: AIRMEN OTHER THAN FLIGHT CREWMEMBERS Aircraft Dispatchers § 65.55 Knowledge requirements. (a) A...

14 CFR 63.53 - Knowledge requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 2 2011-01-01 2011-01-01 false Knowledge requirements. 63.53 Section 63.53 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: FLIGHT CREWMEMBERS OTHER THAN PILOTS Flight Navigators § 63.53 Knowledge requirements. (a) An...

14 CFR 63.35 - Knowledge requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Knowledge requirements. 63.35 Section 63.35 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: FLIGHT CREWMEMBERS OTHER THAN PILOTS Flight Engineers § 63.35 Knowledge requirements. (a) An...

Should consultation recording use be a practice standard? A systematic review of the effectiveness and implementation of consultation recordings.

PubMed

Rieger, Kendra L; Hack, Thomas F; Beaver, Kinta; Schofield, Penelope

2018-04-01

To conduct a systematic review of the effectiveness of consultation recordings and identify factors contributing to their successful implementation in health-care settings. A systematic review was conducted for quantitative studies examining the effectiveness of consultation recordings in health care. Two independent reviewers assessed the relevance and quality of retrieved quantitative studies by using standardized criteria. Study findings were examined to determine consultation recording effectiveness and to identify barriers and facilitators to implementation. A supplementary review of qualitative evidence was performed to further explicate implementation factors. Of the 3373 articles retrieved in the quantitative search, 26 satisfied the standardized inclusion criteria (12 randomized controlled trials, 1 quasi-experiment, and 13 cross-sectional studies). Most patients found consultation recordings beneficial. Statistically significant evidentiary support was found for the beneficial impact of consultation recordings on the following patient reported outcomes: knowledge, perception of being informed, information recall, decision-making factors, anxiety, and depression. Implementation barriers included strength of evidence concerns, patient distress, impact of the recording on consultation quality, clinic procedures, medico-legal issues, and resource costs. Facilitators included comfort with being recorded, clinical champions, legal strategies, efficient recording procedures, and a positive consultation recording experience. Consultation recordings are valuable to patients and positively associated with patient-reported outcomes. Successful integration of consultation recording use into clinical practice requires an administratively supported, systematic approach to addressing implementation factors. Copyright © 2017 John Wiley & Sons, Ltd.

Enhancing the Characterization of Epistemic Uncertainties in PM2.5 Risk Analyses.

PubMed

Smith, Anne E; Gans, Will

2015-03-01

The Environmental Benefits Mapping and Analysis Program (BenMAP) is a software tool developed by the U.S. Environmental Protection Agency (EPA) that is widely used inside and outside of EPA to produce quantitative estimates of public health risks from fine particulate matter (PM2.5 ). This article discusses the purpose and appropriate role of a risk analysis tool to support risk management deliberations, and evaluates the functions of BenMAP in this context. It highlights the importance in quantitative risk analyses of characterization of epistemic uncertainty, or outright lack of knowledge, about the true risk relationships being quantified. This article describes and quantitatively illustrates sensitivities of PM2.5 risk estimates to several key forms of epistemic uncertainty that pervade those calculations: the risk coefficient, shape of the risk function, and the relative toxicity of individual PM2.5 constituents. It also summarizes findings from a review of U.S.-based epidemiological evidence regarding the PM2.5 risk coefficient for mortality from long-term exposure. That review shows that the set of risk coefficients embedded in BenMAP substantially understates the range in the literature. We conclude that BenMAP would more usefully fulfill its role as a risk analysis support tool if its functions were extended to better enable and prompt its users to characterize the epistemic uncertainties in their risk calculations. This requires expanded automatic sensitivity analysis functions and more recognition of the full range of uncertainty in risk coefficients. © 2014 Society for Risk Analysis.

75 FR 9488 - Basel Comprehensive Quantitative Impact Study

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-02

... DEPARTMENT OF THE TREASURY Office of Thrift Supervision Basel Comprehensive Quantitative Impact... Quantitative Impact Study. OMB Number: 1550-0NEW. Form Numbers: N/A. Regulation requirement: 12 CFR Part 567... Basel II Capital Accord, the Basel Committee will conduct a quantitative impact study (QIS) to assess...

Quantitative and qualitative analysis of the knowledge, attitudes and social representations of cholera in the extreme northern region of Cameroon: the case of Maroua I, Maroua Ii And Mokolo

PubMed Central

Amaah, Penn

2014-01-01

Introduction An effective fight against cholera requires an in-depth consideration of the knowledge, attitudes and social representations of cholera within a population. Cholera outbreaks persist in the Extreme North of Cameroon because of the inadequate integration of representations of cholera, water and hygiene in the fight against this disease. Through a constructivist intercultural approach not conflicting with the western ethnocentric model, socio-cultural/religious and historical ideologies can be reconciled to provide optimal and sustainable healthcare solutions to the repeated and long lasting cholera epidemics using participative research, intercultural mediation and dialogue in Cameroon. Methods Through a cross-sectional, ethnographic and participative study, data was generated using semi-directed in-depth interviews of key informants, collection of videos, pictures and the completion of 2 pre-tested questionnaire types in 3 communities (Maroua I, Maroua II and Mokolo). Quantitative data was entered using Ms Excel and Epi Info 7, and analysed using Epi Info 7. Qualitative data was analysed inductively using the concept of social representations. Results Results show evidence of the inadequate integration of cultural and socio-cultural factors favouring cholera spread and a respondent population majority unable to identify this (92.82%). Equally identifying environmental and cultural factors, the results bring out the impact of the on-going cholera combating strategy. Conclusion Representations of cholera, cultural and socio-cultural values are not adequately considered in the fight against cholera. We recommend policy-makers and health actors to improve on the integration of these through advocacy, in designing, communicating and implementing effective prevention strategies via participative research, intercultural mediation and dialogue. PMID:25309653

Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America.

PubMed

Pepin, K M; Spackman, E; Brown, J D; Pabilonia, K L; Garber, L P; Weaver, J T; Kennedy, D A; Patyk, K A; Huyvaert, K P; Miller, R S; Franklin, A B; Pedersen, K; Bogich, T L; Rohani, P; Shriner, S A; Webb, C T; Riley, S

2014-03-01

Wild birds are the primary source of genetic diversity for influenza A viruses that eventually emerge in poultry and humans. Much progress has been made in the descriptive ecology of avian influenza viruses (AIVs), but contributions are less evident from quantitative studies (e.g., those including disease dynamic models). Transmission between host species, individuals and flocks has not been measured with sufficient accuracy to allow robust quantitative evaluation of alternate control protocols. We focused on the United States of America (USA) as a case study for determining the state of our quantitative knowledge of potential AIV emergence processes from wild hosts to poultry. We identified priorities for quantitative research that would build on existing tools for responding to AIV in poultry and concluded that the following knowledge gaps can be addressed with current empirical data: (1) quantification of the spatio-temporal relationships between AIV prevalence in wild hosts and poultry populations, (2) understanding how the structure of different poultry sectors impacts within-flock transmission, (3) determining mechanisms and rates of between-farm spread, and (4) validating current policy-decision tools with data. The modeling studies we recommend will improve our mechanistic understanding of potential AIV transmission patterns in USA poultry, leading to improved measures of accuracy and reduced uncertainty when evaluating alternative control strategies. Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.

Qualitative research and the epidemiological imagination: a vital relationship.

PubMed

Popay, J

2003-01-01

This paper takes as its starting point the assumption that the 'Epidemiological Imagination' has a central role to play in the future development of policies and practice to improve population health and reduce health inequalities within and between states but suggests that by neglecting the contribution that qualitative research can make epidemiology is failing to deliver this potential. The paper briefly considers what qualitative research is, touching on epistemological questions--what type of "knowledge" is generated--and questions of methods--what approaches to data collection, analysis and interpretation are involved). Following this the paper presents two different models of the relationship between qualitative and quantitative research. The enhancement model (which assumes that qualitative research findings add something extra to the findings of quantitative research) suggests three related "roles" for qualitative research: generating hypothesis to be tested by quantitative research, helping to construct more sophisticated measures of social phenomena and explaining unexpected research from quantitative research. In contrast, the Epistemological Model suggests that qualitative research is equal but different from quantitative research making a unique contribution through: researching parts other research approaches can't reach, increasing understanding by adding conceptual and theoretical depth to knowledge, shifting the balance of power between researchers and researched and challenging traditional epidemiological ways of "knowing" the social world. The paper illustrates these different types of contributions with examples of qualitative research and finally discusses ways in which the "trustworthiness" of qualitative research can be assessed.

12 CFR 614.4362 - Loan and lease concentration risk mitigation policy.

Code of Federal Regulations, 2012 CFR

2012-01-01

... include: (1) A purpose and objective; (2) Clearly defined and consistently used terms; (3) Quantitative... exceptions and reporting requirements. (b) Quantitative methods. (1) At a minimum, the quantitative methods...

12 CFR 614.4362 - Loan and lease concentration risk mitigation policy.

Code of Federal Regulations, 2014 CFR

2014-01-01

... include: (1) A purpose and objective; (2) Clearly defined and consistently used terms; (3) Quantitative... exceptions and reporting requirements. (b) Quantitative methods. (1) At a minimum, the quantitative methods...

12 CFR 614.4362 - Loan and lease concentration risk mitigation policy.

Code of Federal Regulations, 2013 CFR

2013-01-01

... include: (1) A purpose and objective; (2) Clearly defined and consistently used terms; (3) Quantitative... exceptions and reporting requirements. (b) Quantitative methods. (1) At a minimum, the quantitative methods...

Quantitative ethnobotanical study of the medicinal plants used by the Ati Negrito indigenous group in Guimaras island, Philippines.

PubMed

Ong, Homervergel G; Kim, Young-Dong

2014-11-18

This study is (1) a documentation of medicinal plant use in traditional therapies, and (2) an evaluation of the medicinal plant knowledge and practices of the Ati Negrito indigenous people in Guimaras Island, Philippines. A semi-structured interview was conducted to 65 informants in order to determine the medicinal plants and their uses in traditional therapies. The plants were collected, identified and deposited as voucher specimens. Plant importance was determined using quantitative ethnobotanical indices such as Use Value (UV), Fidelity Level (FL) and Informant Consensus Factor (ICF). Descriptive and the inferential statistics Mann-Whitney U and Kruskal-Wallis tests were used to measure and compare the informants׳ medicinal plant use knowledge and practices. This study was able to identify 142 medicinal plant taxa in 55 families used in 16 categories of diseases. Plants with the highest recorded UVs were Psidium guajava (2.52), Blumea balsamifera (2.15) and Cocos nucifera (2.06). A total of 24 species were found to have 100% FL values with Senna alata, Hibiscus rosa-sinensis and Breynia vitis-idaea recording the highest number of use-mentions (48) for treating white spot, boils, and child sleeplessness, malaise and fatigue, respectively. The highest ICF value (1.00) was cited for Category 6 (Diseases of the ear) and Category 16 (Factors that influence health status and services). Finally, significant differences in medicinal plant use knowledge were recorded when informants were grouped according to location, educational level, gender and age. This documentation of medicinal plants and their uses shows the rich tradition in ethno-medicinal knowledge of the Ati Negrito indigenous people although results might also imply that knowledge is eroding. Nevertheless, this study could open an avenue for pharmacological research works, or serve as reference for future quantitative ethnobotanical investigations. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Illness perceptions and explanatory models of viral hepatitis B & C among immigrants and refugees: a narrative systematic review.

PubMed

Owiti, John A; Greenhalgh, Trisha; Sweeney, Lorna; Foster, Graham R; Bhui, Kamaldeep S

2015-02-15

Hepatitis B and C (HBV, HCV) infections are associated with high morbidity and mortality. Many countries with traditionally low prevalence (such as UK) are now planning interventions (screening, vaccination, and treatment) of high-risk immigrants from countries with high prevalence. This review aimed to synthesise the evidence on immigrants' knowledge of HBV and HCV that might influence the uptake of clinical interventions. The review was also used to inform the design and successful delivery of a randomised controlled trial of targeted screening and treatment. Five databases (PubMed, CINHAL, SOCIOFILE, PsycINFO & Web of Science) were systematically searched, supplemented by reference tracking, searches of selected journals, and of relevant websites. We aimed to identify qualitative and quantitative studies that investigated knowledge of HBV and HCV among immigrants from high endemic areas to low endemic areas. Evidence, extracted according to a conceptual framework of Kleinman's explanatory model, was subjected to narrative synthesis. We adapted the PEN-3 model to categorise and analyse themes, and recommend strategies for interventions to influence help-seeking behaviour. We identified 51 publications including quantitative (n = 39), qualitative (n = 11), and mixed methods (n = 1) designs. Most of the quantitative studies included small samples and had heterogeneous methods and outcomes. The studies mainly concentrated on hepatitis B and ethnic groups of South East Asian immigrants residing in USA, Canada, and Australia. Many immigrants lacked adequate knowledge of aetiology, symptoms, transmission risk factors, prevention strategies, and treatment, of hepatitis HBV and HCV. Ethnicity, gender, better education, higher income, and English proficiency influenced variations in levels and forms of knowledge. Immigrants are vulnerable to HBV and HCV, and risk life-threatening complications from these infections because of poor knowledge and help-seeking behaviour. Primary studies in this area are extremely diverse and of variable quality precluding meta-analysis. Further research is needed outside North America and Australia.

Metrics and the effective computational scientist: process, quality and communication.

PubMed

Baldwin, Eric T

2012-09-01

Recent treatments of computational knowledge worker productivity have focused upon the value the discipline brings to drug discovery using positive anecdotes. While this big picture approach provides important validation of the contributions of these knowledge workers, the impact accounts do not provide the granular detail that can help individuals and teams perform better. I suggest balancing the impact-focus with quantitative measures that can inform the development of scientists. Measuring the quality of work, analyzing and improving processes, and the critical evaluation of communication can provide immediate performance feedback. The introduction of quantitative measures can complement the longer term reporting of impacts on drug discovery. These metric data can document effectiveness trends and can provide a stronger foundation for the impact dialogue. Copyright © 2012 Elsevier Ltd. All rights reserved.

Data article on the effectiveness of entrepreneurship curriculum contents on entrepreneurial interest and knowledge of Nigerian university students.

PubMed

Olokundun, Maxwell; Iyiola, Oluwole; Ibidunni, Stephen; Ogbari, Mercy; Falola, Hezekiah; Salau, Odunayo; Peter, Fred; Borishade, Taiye

2018-06-01

The article presented data on the effectiveness of entrepreneurship curriculum contents on university students' entrepreneurial interest and knowledge. The study focused on the perceptions of Nigerian university students. Emphasis was laid on the first four universities in Nigeria to offer a degree programme in entrepreneurship. The study adopted quantitative approach with a descriptive research design to establish trends related to the objective of the study. Survey was be used as quantitative research method. The population of this study included all students in the selected universities. Data was analyzed with the use of Statistical Package for Social Sciences (SPSS). Mean score was used as statistical tool of analysis. The field data set is made widely accessible to enable critical or a more comprehensive investigation.

Nurse education and willingness to provide spiritual care.

PubMed

Wu, Li-Fen; Tseng, Hui-Chen; Liao, Yu-Chen

2016-03-01

Spiritual care is a critical part of holistic care, and nurses require adequate preparation to address the spiritual needs of patients. However, nurses' willingness to provide such care has rarely been reported. Hence, nurses' education, and knowledge of spiritual care, as well as their willingness to provide it require further study. A convenience sample of 200 nurses participated in the study. Quantitative data were collected using a 21-item Spiritual Care Needs Inventory (content validity index=.87; Cronbach's alpha=.96). The majority of participants were female (96.5%, n=193) between 21 and 59years old (mean=35.1years). Moreover, the majority of participants had a Bachelor's degree (74.0%, n=148) and 1-36years of clinical experience (mean=12.13years). Regarding religious beliefs, 63 (31.5%) had no religious belief, and 93 (46.5%) did not engage in any religious activity. Overall, the nurses were willing to provide spiritual care, although only 25 (12.5%) felt that they had received adequate education. The findings of this study indicate the need for further educational preparation in spiritual care for nurses. Specifically, additional teaching materials are required that are more directly related to spiritual care. Greater emphasis should be placed on different subject areas in school-based education, continuing education, and self-learning education according to the needs of nurses. Since spiritual care education needs policy support, in-depth discussions should take place regarding the approach and cultural environment for providing spiritual care in future nursing courses. Moreover, further studies should investigate barriers in providing spiritual nursing care to patients and whether they are the results of a lack of relevant knowledge or other factors. Copyright © 2016 Elsevier Ltd. All rights reserved.

Knowledge of the signs and symptoms and risk factors of lung cancer in Australia: mixed methods study.

PubMed

Crane, Melanie; Scott, Nicola; O'Hara, Blythe J; Aranda, Sanchia; Lafontaine, Mayanne; Stacey, Ingrid; Varlow, Megan; Currow, David

2016-06-13

Lung cancer is the leading cause of cancer death in Australia. There is potential that health promotion about the risks and warning signs of lung cancer could be used to reduce delays in symptom presentation when symptoms are first detected. This study investigated knowledge, attitudes and beliefs which might impact help-seeking behaviour and could provide insight into possible public health interventions in New South Wales (NSW). A convergent mixed method study design was used wherein data from 16 qualitative focus groups of residents (40+ years), purposefully recruited and stratified by smoking status, age and geography (metropolitan/regional), were compared with a CATI administered population-wide telephone survey (n = 1,000) using the Cancer Research UK cancer awareness measure (LungCAM). Qualitative findings were analysed thematically using NVIVO. Logistic regression analysis was used to investigate predictors of symptom knowledge in STATA. Findings were integrated using triangulation techniques. Across focus groups, haemoptysis was the only symptom creating a sense of medical urgency. Life experiences evoked a 'wait and see' attitude to any health deterioration. Perceived risk was low amongst those at risk with current smokers preferring to deny their risk while former smokers were generally unaware of any ongoing risk. The quantitative sample consisted of females (62 %), 40-65 years (53 %), low SES (53 %), former (46 %) and current smokers (14 %). In quantitative findings, haemoptysis and dyspnoea were the most recognised symptoms across the sample population. Age (<65 years), sex (female) and high socio-economic status contributed to a higher recognition of symptoms. Smoking was recognised as a cause of lung cancer, yet ever-smokers were less likely to recognise the risk of lung cancer due to second-hand smoke (OR 0.7 95 % CI 0.5-0.9). While there was some recognition of risk factors and symptoms indicative of lung cancer, there was disparity across the sample population. The qualitative findings also suggest that knowledge may not lead to earlier presentation; a lack of urgency about symptoms considered trivial, and smoking-related barriers such as stigma may also contribute to time delays in presentation. Public health interventions may be required to increase awareness of risk and emphasise the importance of seeking medical attention for ongoing symptoms.

Nurses' perceptions of evidence-based practice: a quantitative study at a teaching hospital in Iran.

PubMed

Shafiei, Ebrahim; Baratimarnani, Ahmad; Goharinezhad, Salime; Kalhor, Rohollah; Azmal, Mohammad

2014-01-01

Evidence-based practice (EBP) provides nurses a method to use critically appraised and scientifically proven evidence for delivering quality health care and the best decision that leads to quality outcomes. The purpose of this study was to measure the practice, attitude and knowledge/skill of evidence-based practice of nurses in a teaching hospital in Iran. This cross-sectional study was conducted in 2011.The study sample was composed of 195 nurses who were working at the Fatemeh Zahra Hospital affiliated to Bushehr University of Medical Sciences (BPUMS). The survey instrument was a questionnaire based on Upton and Upton study. This tool measures Nurses' perceptions in the three sub-scales of practice, attitude and knowledge/skill of evidence-based practice. Descriptive statistical analysis was used to analyze the data. Pearson correlation coefficients were used to examine the relationship between subscales. The overall mean score of the evidence-based practice in this study was 4.48±1.26 from 7, and the three subscales of practice, attitude and knowledge/skill in evidence-based practice were, 4.58±1.24, 4.57±1.35 and 4.39±1.20, respectively. There was a strong relationship between knowledge and performance subscale (r=0.73,p<0.01). Findings of the study indicate that more training and education are required for evidence-based nursing. Successful implementation of evidence-based nursing depends on organizational plans and empowerment programs in hospitals. Hence, hospital managers should formulate a comprehensive strategy for improving EBP.

Adolescents' knowledge and opinions about smoking: a qualitative study from the Jhaukhel-Duwakot Health Demographic Surveillance Site, Bhaktapur District, Nepal.

PubMed

Povlsen, Lene; Aryal, Umesh Raj; Petzold, Max; Krettek, Alexandra

2016-04-09

The use of tobacco products among adolescents in Southeast Asia represents a major public health burden. Two out of ten adolescents attending school are tobacco users and several factors influence them to initiate tobacco use. Most studies related to tobacco use are quantitative, whereas qualitative studies exploring adolescents' smoking behavior and their views, knowledge and experiences are scarce. To gain a deep understanding of Nepalese adolescents' knowledge and opinions about smoking and reasons for smoking initiation. Adolescents from four secondary schools in the Bhaktapur district, Nepal. Eight focus-group discussions were conducted with 71 adolescents aged 13-16 years and from grades 8-10. Data were analyzed using manifest qualitative content analysis. The participants knew that smoking represents health risks as well as socio-economic risks, but few described the addictive nature of tobacco and health risks related to passive smoking. Most participants related smoking initiation to the smoking behavior of peers and family members, but easy accessibility to cigarettes, ineffective rules and regulations, and exposure to passive smoking also created environments for smoking. Some expressed confidence to resist peer pressure and refuse to start smoking, but also expressed the need for prevention strategies in schools and for governmental initiatives, such as more strict implementation of tobacco control and regulations to prevent and reduce smoking. Curbing the tobacco epidemic in Nepal requires healthy public policies and multifaceted interventions to address the knowledge gap on health consequences associated with smoking among adolescents, teachers and parents/adults.

A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

PubMed Central

Anderson, Sarah J.; Hecker, Kent G.; Krigolson, Olave E.; Jamniczky, Heather A.

2018-01-01

In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise. PMID:29467638

A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention-A Neuroeducation Study.

PubMed

Anderson, Sarah J; Hecker, Kent G; Krigolson, Olave E; Jamniczky, Heather A

2018-01-01

In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

Mapping of Student Sustainable Development Education Knowledge in Malaysia Using Geographical Information System (GIS)

ERIC Educational Resources Information Center

Mahat, Hanifah; Hashim, Mohmadisa; Nayan, Nasir; Saleh, Yazid; Norkhaidi, Saiyidatina Balkhis

2018-01-01

This article aims to examine the levels of education for sustainable development (ESD) knowledge among students in secondary schools according to zones in Malaysia by using GIS mapping. The five main zones of the study were the north zone, the south zone, the east coast zone, the central zone, and the East Malaysia zone. This quantitative form of…

Qualitative and Quantitative Research on the Knowledge of Global Issues, International Attitudes, and Skills of Negotiation among Secondary School Students.

ERIC Educational Resources Information Center

Torney-Purta, Judith

For decades, there has been considerable interest in understanding how attitudes toward other nations and cultures are formed and how people differ in their knowledge and attitudes toward global issues. However, the available research on the topic is sparse and disconnected. This paper suggests a model for looking at the research and presents…

A Quantitative Assessment of Students' Experiences of Studying Music: A Spanish Perspective on the European Credit Transfer System (ECTS)

ERIC Educational Resources Information Center

Esteve-Faubel, Jose-Maria; Stephens, Jonathan; Molina Valero, Miguel Angel

2013-01-01

The purpose of this investigation is to evaluate whether or not the allocation of time proposed in the Music Study Guide, adapted from the European Higher Education Area (EHEA) guidelines, is consistent and adequate for students with minimal musical knowledge. The report takes into account the importance of students' previous knowledge and the…

Knowledge, Attitudes and Behaviors of Older Adults and College Students Participating in Recycling Mentors, a Service-Learning, Environmental Health Education Program

ERIC Educational Resources Information Center

D'Abundo, Michelle Lee; Fugate-Whitlock, Elizabeth; Fiala, Kelly Ann; Covan, Eleanor Krassen

2013-01-01

Purpose: The purpose of this research was to assess the knowledge, attitudes and practices of both students and older adults that participated in a service-learning, environmental health education program called Recycling Mentors (RM). Methods: Surveys were conducted before and after participation in RM. Quantitative data were analyzed using SPSS.…

A Case-Based Exploration of Task/Technology Fit in a Knowledge Management Context

DTIC Science & Technology

2008-03-01

have a difficult time articulating to others. Researchers who subscribe to the constructionist perspective view knowledge as an inherently social ...Acceptance Model With Task-Technology Fit Constructs. Information & Management, 36, 9-21. Dooley, D. (2001). Social Research Methods (4th ed.). Upper...L. (2006). Social Research Methods : Qualitative and Quantitative Approaches (6 ed.). Boston: Pearson Education, Inc. Nonaka, I. (1994). A Dynamic

[Knowledge, attitude and practice of condom use by women of an impoverished urban area].

PubMed

Andrade, Smalyanna Sgren da Costa; Zaccara, Ana Aline Lacet; Leite, Kamila Nethielly Souza; Brito, Karen Krystine Gonçalves de; Soares, Maria Júlia Guimarães Oliveira; Costa, Marta Miriam Lopes; Pinheiro, Ana Karina Bezerra; Oliveira, Simone Helena Dos Santos

2015-06-01

Assessing the adequacy of knowledge, attitude and practice of women regarding male and female condoms as STI/HIV preventive measures. An evaluative Knowledge, Attitude and Practice (KAP) household survey with a quantitative approach, involving 300 women. Data collection took place between June and August 2013, in an informal urban settlement within the municipality of João Pessoa, Paraiba, Northeast Brazil. Regarding the male condom, most women showed inadequate knowledge and practice, and an adequate attitude. Regarding the female condom, knowledge, attitude and practice variables were unsatisfactory. Significant associations between knowledge/religious orientation and attitude/education regarding the male condom were observed. A multidisciplinary team should be committed to the development of educational practices as care promotion tools in order to improve adherence of condom use.

The Improved Dual-view Field Goniometer System FIGOS

PubMed Central

Schopfer, Jürg; Dangel, Stefan; Kneubühler, Mathias; Itten, Klaus I.

2008-01-01

In spectrodirectional Remote Sensing (RS) the Earth's surface reflectance characteristics are studied by means of their angular dimensions. Almost all natural surfaces exhibit an individual anisotropic reflectance behaviour due to the contrast between the optical properties of surface elements and background and the geometric surface properties of the observed scene. The underlying concept, which describes the reflectance characteristic of a specific surface area, is called the bidirectional reflectance distribution function (BRDF). BRDF knowledge is essential for both correction of directional effects in RS data and quantitative retrieval of surface parameters. Ground-based spectrodirectional measurements are usually performed with goniometer systems. An accurate retrieval of the bidirectional reflectance factors (BRF) from field goniometer measurements requires hyperspectral knowledge of the angular distribution of the reflected and the incident radiation. However, prior to the study at hand, no operational goniometer system was able to fulfill this requirement. This study presents the first dual-view field goniometer system, which is able to simultaneously collect both the reflected and the incident radiation at high angular and spectral resolution and, thus, providing the necessary spectrodirectional datasets to accurately retrieve the surface specific BRF. Furthermore, the angular distribution of the incoming diffuse radiation is characterized for various atmospheric conditions and the BRF retrieval is performed for an artificial target and compared to laboratory spectrodirectional measurement results obtained with the same goniometer system. Suggestions for further improving goniometer systems are given and the need for intercalibration of various goniometers as well as for standardizing spectrodirectional measurements is expressed. PMID:27873805

The Improved Dual-view Field Goniometer System FIGOS.

PubMed

Schopfer, Jürg; Dangel, Stefan; Kneubühler, Mathias; Itten, Klaus I

2008-08-28

In spectrodirectional Remote Sensing (RS) the Earth's surface reflectance characteristics are studied by means of their angular dimensions. Almost all natural surfaces exhibit an individual anisotropic reflectance behaviour due to the contrast between the optical properties of surface elements and background and the geometric surface properties of the observed scene. The underlying concept, which describes the reflectance characteristic of a specific surface area, is called the bidirectional reflectance distribution function (BRDF). BRDF knowledge is essential for both correction of directional effects in RS data and quantitative retrieval of surface parameters. Ground-based spectrodirectional measurements are usually performed with goniometer systems. An accurate retrieval of the bidirectional reflectance factors (BRF) from field goniometer measurements requires hyperspectral knowledge of the angular distribution of the reflected and the incident radiation. However, prior to the study at hand, no operational goniometer system was able to fulfill this requirement. This study presents the first dual-view field goniometer system, which is able to simultaneously collect both the reflected and the incident radiation at high angular and spectral resolution and, thus, providing the necessary spectrodirectional datasets to accurately retrieve the surface specific BRF. Furthermore, the angular distribution of the incoming diffuse radiation is characterized for various atmospheric conditions and the BRF retrieval is performed for an artificial target and compared to laboratory spectrodirectional measurement results obtained with the same goniometer system. Suggestions for further improving goniometer systems are given and the need for intercalibration of various goniometers as well as for standardizing spectrodirectional measurements is expressed.

Current level and correlates of traditional cooking energy sources utilization in urban settings in the context of climate change and health, northwest Ethiopia: a case of Debre Markos town.

PubMed

Geremew, Kumlachew; Gedefaw, Molla; Dagnew, Zewdu; Jara, Dube

2014-01-01

Traditional biomass has been the major source of cooking energy for major segment of Ethiopian population for thousands of years. Cognizant of this energy poverty, the Government of Ethiopia has been spending huge sum of money to increase hydroelectric power generating stations. To assess current levels and correlates of traditional cooking energy sources utilization. A community based cross-sectional study was conducted employing both quantitative and qualitative approaches on systematically selected 423 households for quantitative and purposively selected 20 people for qualitative parts. SPSS version 16 for windows was used to analyze the quantitative data. Logistic regression was fitted to assess possible associations and its strength was measured using odds ratio at 95% CI. Qualitative data were analyzed thematically. The study indicated that 95% of households still use traditional biomass for cooking. Those who were less knowledgeable about negative health and environmental effects of traditional cooking energy sources were seven and six times more likely to utilize them compared with those who were knowledgeable (AOR (95% CI) = 7.56 (1.635, 34.926), AOR (95% CI) = 6.68 (1.80, 24.385), resp.). The most outstanding finding of this study was that people use traditional energy for cooking mainly due to lack of the knowledge and their beliefs about food prepared using traditional energy. That means "...people still believe that food cooked with charcoal is believed to taste delicious than cooked with other means."  The majority of households use traditional biomass for cooking due to lack of knowledge and belief. Therefore, mechanisms should be designed to promote electric energy and to teach the public about health effects of traditional cooking energy source.

A network-based approach for semi-quantitative knowledge mining and its application to yield variability

NASA Astrophysics Data System (ADS)

Schauberger, Bernhard; Rolinski, Susanne; Müller, Christoph

2016-12-01

Variability of crop yields is detrimental for food security. Under climate change its amplitude is likely to increase, thus it is essential to understand the underlying causes and mechanisms. Crop models are the primary tool to project future changes in crop yields under climate change. A systematic overview of drivers and mechanisms of crop yield variability (YV) can thus inform crop model development and facilitate improved understanding of climate change impacts on crop yields. Yet there is a vast body of literature on crop physiology and YV, which makes a prioritization of mechanisms for implementation in models challenging. Therefore this paper takes on a novel approach to systematically mine and organize existing knowledge from the literature. The aim is to identify important mechanisms lacking in models, which can help to set priorities in model improvement. We structure knowledge from the literature in a semi-quantitative network. This network consists of complex interactions between growing conditions, plant physiology and crop yield. We utilize the resulting network structure to assign relative importance to causes of YV and related plant physiological processes. As expected, our findings confirm existing knowledge, in particular on the dominant role of temperature and precipitation, but also highlight other important drivers of YV. More importantly, our method allows for identifying the relevant physiological processes that transmit variability in growing conditions to variability in yield. We can identify explicit targets for the improvement of crop models. The network can additionally guide model development by outlining complex interactions between processes and by easily retrieving quantitative information for each of the 350 interactions. We show the validity of our network method as a structured, consistent and scalable dictionary of literature. The method can easily be applied to many other research fields.

Another Curriculum Requirement? Quantitative Reasoning in Economics: Some First Steps

ERIC Educational Resources Information Center

O'Neill, Patrick B.; Flynn, David T.

2013-01-01

In this paper, we describe first steps toward focusing on quantitative reasoning in an intermediate microeconomic theory course. We find student attitudes toward quantitative aspects of economics improve over the duration of the course (as we would hope). Perhaps more importantly, student attitude toward quantitative reasoning improves, in…

Quantitative Literacy Courses as a Space for Fusing Literacies

ERIC Educational Resources Information Center

Tunstall, Samuel Luke; Matz, Rebecca L.; Craig, Jeffrey C.

2016-01-01

In this article, we examine how students in a general education quantitative literacy course reason with public issues when unprompted to use quantitative reasoning. Michigan State University, like many institutions, not only has a quantitative literacy requirement for all undergraduates but also offers two courses specifically for meeting the…

The effectiveness of knowledge translation interventions for promoting evidence-informed decision-making among nurses in tertiary care: a systematic review and meta-analysis.

PubMed

Yost, Jennifer; Ganann, Rebecca; Thompson, David; Aloweni, Fazila; Newman, Kristine; Hazzan, Afeez; McKibbon, Ann; Dobbins, Maureen; Ciliska, Donna

2015-07-14

Nurses are increasingly expected to engage in evidence-informed decision-making (EIDM) to improve client and system outcomes. Despite an improved awareness about EIDM, there is a lack of use of research evidence and understanding about the effectiveness of interventions to promote EIDM. This project aimed to discover if knowledge translation (KT) interventions directed to nurses in tertiary care are effective for improving EIDM knowledge, skills, behaviours, and, as a result, client outcomes. It also sought to understand contextual factors that affect the impact of such interventions. A systematic review funded by the Canadian Institutes of Health Research (PROSPERO registration: CRD42013003319) was conducted. Included studies examined the implementation of any KT intervention involving nurses in tertiary care to promote EIDM knowledge, skills, behaviours, and client outcomes or studies that examined contextual factors. Study designs included systematic reviews, quantitative, qualitative, and mixed method studies. The search included electronic databases and manual searching of published and unpublished literature to November 2012; key databases included MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Excerpta Medica (EMBASE). Two reviewers independently performed study selection, risk of bias assessment, and data extraction. Studies with quantitative data determined to be clinically homogeneous were synthesized using meta-analytic methods. Studies with quantitative data not appropriate for meta-analysis were synthesized narratively by outcome. Studies with qualitative data were synthesized by theme. Of the 44,648 citations screened, 30 citations met the inclusion criteria (18 quantitative, 10 qualitative, and 2 mixed methods studies). The quality of studies with quantitative data ranged from very low to high, and quality criteria was generally met for studies with qualitative data. No studies evaluated the impact on knowledge and skills; they primarily investigated the effectiveness of multifaceted KT strategies for promoting EIDM behaviours and improving client outcomes. Almost all studies included an educational component. A meta-analysis of two studies determined that a multifaceted intervention (educational meetings and use of a mentor) did not increase engagement in a range of EIDM behaviours [mean difference 2.7, 95 % CI (-1.7 to 7.1), I (2) = 0 %]. Among the remaining studies, no definitive conclusions could be made about the relative effectiveness of the KT interventions due to variation of interventions and outcomes, as well as study limitations. Findings from studies with qualitative data identified the organizational, individual, and interpersonal factors, as well as characteristics of the innovation, that influence the success of implementation. KT interventions are being implemented and evaluated on nurses' behaviour and client outcomes. This systematic review may inform the selection of KT interventions and outcomes among nurses in tertiary care and decisions about further research.

42 CFR 431.424 - Evaluation requirements.

Code of Federal Regulations, 2012 CFR

2012-10-01

... evaluations. Demonstration evaluations will include the following: (1) Quantitative research methods. (i... of appropriate evaluation strategies (including experimental and other quantitative and qualitative... demonstration. (ii) CMS will consider alternative evaluation designs when quantitative designs are technically...

42 CFR 431.424 - Evaluation requirements.

Code of Federal Regulations, 2013 CFR

2013-10-01

... evaluations. Demonstration evaluations will include the following: (1) Quantitative research methods. (i... of appropriate evaluation strategies (including experimental and other quantitative and qualitative... demonstration. (ii) CMS will consider alternative evaluation designs when quantitative designs are technically...

42 CFR 431.424 - Evaluation requirements.

Code of Federal Regulations, 2014 CFR

2014-10-01

... evaluations. Demonstration evaluations will include the following: (1) Quantitative research methods. (i... of appropriate evaluation strategies (including experimental and other quantitative and qualitative... demonstration. (ii) CMS will consider alternative evaluation designs when quantitative designs are technically...

Exploring the function and effectiveness of knowledge brokers as facilitators of knowledge translation in health-related settings: a systematic review and thematic analysis.

PubMed

Bornbaum, Catherine C; Kornas, Kathy; Peirson, Leslea; Rosella, Laura C

2015-11-20

Knowledge brokers (KBs) work collaboratively with key stakeholders to facilitate the transfer and exchange of information in a given context. Currently, there is a perceived lack of evidence about the effectiveness of knowledge brokering and the factors that influence its success as a knowledge translation (KT) mechanism. Thus, the goal of this review was to systematically gather evidence regarding the nature of knowledge brokering in health-related settings and determine if KBs effectively contributed to KT in these settings. A systematic review was conducted using a search strategy designed by a health research librarian. Eight electronic databases (MEDLINE, Embase, PsycINFO, CINAHL, ERIC, Scopus, SocINDEX, and Health Business Elite) and relevant grey literature sources were searched using English language restrictions. Two reviewers independently screened the abstracts, reviewed full-text articles, extracted data, and performed quality assessments. Analysis included a confirmatory thematic approach. To be included, studies must have occurred in a health-related setting, reported on an actual application of knowledge brokering, and be available in English. In total, 7935 records were located. Following removal of duplicates, 6936 abstracts were screened and 240 full-text articles were reviewed. Ultimately, 29 articles, representing 22 unique studies, were included in the thematic analysis. Qualitative (n = 18), quantitative (n = 1), and mixed methods (n = 6) designs were represented in addition to grey literature sources (n = 4). Findings indicated that KBs performed a diverse range of tasks across multiple health-related settings; results supported the KB role as a 'knowledge manager', 'linkage agent', and 'capacity builder'. Our systematic review explored outcome data from a subset of studies (n = 8) for evidence of changes in knowledge, skills, and policies or practices related to knowledge brokering. Two studies met standards for acceptable methodological rigour; thus, findings were inconclusive regarding KB effectiveness. As knowledge managers, linkage agents, and capacity builders, KBs performed many and varied tasks to transfer and exchange information across health-related stakeholders, settings, and sectors. How effectively they fulfilled their role in facilitating KT processes is unclear; further rigourous research is required to answer this question and discern the potential impact of KBs on education, practice, and policy.

Effect of structure in problem based learning on science teaching efficacy beliefs and science content knowledge of elementary preservice teachers

NASA Astrophysics Data System (ADS)

Sasser, Selena Kay

This study examined the effects of differing amounts of structure within the problem based learning instructional model on elementary preservice teachers' science teaching efficacy beliefs, including personal science teaching efficacy and science teaching outcome expectancy, and content knowledge acquisition. This study involved sixty (60) undergraduate elementary preservice teachers enrolled in three sections of elementary science methods classes at a large Midwestern research university. This study used a quasi-experimental nonequivalent design to collect and analyze both quantitative and qualitative data. Participants completed instruments designed to assess science teaching efficacy beliefs, science background, and demographic data. Quantitative data from pre and posttests was obtained using the science teaching efficacy belief instrument-preservice (STEBI-B) developed by Enochs and Riggs (1990) and modified by Bleicher (2004). Data collection instruments also included a demographic questionnaire, an analytic rubric, and a structured interview; both created by the researcher. Quantitative data was analyzed by conducting ANCOVA, paired samples t-test, and independent samples t-test. Qualitative data was analyzed using coding and themes. Each of the treatment groups received the same problem scenario, one group experienced a more structured PBL setting, and one group experienced a limited structure PBL setting. Research personnel administered pre and posttests to determine the elementary preservice teachers' science teaching efficacy beliefs. The results show elementary preservice teachers'science teaching efficacy beliefs can be influence by the problem based learning instructional model. This study did not find that the amount of structure in the form of core ideas to consider and resources for further research increased science teaching efficacy beliefs in this sample. Results from the science content knowledge rubric indicated that structure can increase science content knowledge in this sample. Qualitative data from the tutor, fidelity raters, and interviews indicated the participants were excited about the problem and were interested in the science content knowledge related to the problem. They also indicated they were motivated to continue informal study in the problem area. Participants indicated, during the interview, their initial frustration with the lack of knowledge gained from the tutor; however, indicated this led to more learning on their part. This study will contribute to the overall knowledge of problem based learning and its structures, science teaching efficacy beliefs of elementary preservice teachers, and to current teaching and learning practices.

Surface characterization of dialyzer polymer membranes by imaging ToF-SIMS and quantitative XPS line scans.

PubMed

Holzweber, Markus; Lippitz, Andreas; Krueger, Katharina; Jankowski, Joachim; Unger, Wolfgang E S

2015-03-24

The surfaces of polymeric dialyzer membranes consisting of polysulfone and polyvinylpyrrolidone were investigated regarding the lateral distribution and quantitative surface composition using time-of-flight secondary-ion-mass-spectrometry and x-ray photoelectron spectroscopy. Knowledge of the distribution and composition on the outer surface region is of utmost importance for understanding the biocompatibility of such dialyzer membranes. Both flat membranes and hollow fiber membranes were studied.

Conceptual versus Algorithmic Learning in High School Chemistry: The Case of Basic Quantum Chemical Concepts--Part 1. Statistical Analysis of a Quantitative Study

ERIC Educational Resources Information Center

Papaphotis, Georgios; Tsaparlis, Georgios

2008-01-01

Part 1 of the findings are presented of a quantitative study (n = 125) on basic quantum chemical concepts taught in the twelfth grade (age 17-18 years) in Greece. A paper-and-pencil test of fourteen questions was used. The study compared performance in five questions that tested recall of knowledge or application of algorithmic procedures (type-A…

Adverse Outcome Pathways: From Research to Regulation ...

EPA Pesticide Factsheets

An adverse outcome pathway (AOP) organizes existing knowledge on chemical mode of action, starting with a molecular initiating event such as receptor binding, continuing through key events, and ending with an adverse outcome such as reproductive impairment. AOPs can help identify knowledge gaps where more research is needed to understand the underlying mechanisms, aid in chemical hazard characterization, and guide the development of new testing approaches that use fewer or no animals. A September 2014 workshop co-sponsored by NICEATM and PCRM considered how the AOP concept could improve regulatory assessments of chemical toxicity. Scientists from 21 countries, representing industry, academia, regulatory agencies, and special interest groups, attended the workshop, titled Adverse Outcome Pathways: From Research to Regulation. Workshop plenary presentations were followed by breakout sessions that considered regulatory acceptance of AOPs and AOP-based tools, criteria for building confidence in an AOP for regulatory use, and requirements to build quantitative AOPs and AOP networks. Discussions during the closing session emphasized a need to increase transparent and inclusive collaboration, especially with disciplines outside of toxicology. Additionally, to increase impact, working groups should be established to systematically prioritize and develop AOPs. Multiple collaborative projects and follow-up activities resulted from the workshop. This manuscript provides a

Thermodynamic investigation of the interaction between cyclodextrins and preservatives - Application and verification in a mathematical model to determine the needed preservative surplus in aqueous cyclodextrin formulations.

PubMed

Holm, René; Olesen, Niels Erik; Alexandersen, Signe Dalgaard; Dahlgaard, Birgitte N; Westh, Peter; Mu, Huiling

2016-05-25

Preservatives are inactivated when added to conserve aqueous cyclodextrin (CD) formulations due to complex formation between CDs and the preservative. To maintain the desired conservation effect the preservative needs to be added in apparent surplus to account for this inactivation. The purpose of the present work was to establish a mathematical model, which defines this surplus based upon knowledge of stability constants and the minimal concentration of preservation to inhibit bacterial growth. The stability constants of benzoic acid, methyl- and propyl-paraben with different frequently used βCDs were determined by isothermal titration calorimetry. Based upon this knowledge mathematical models were constructed to account for the equilibrium systems and to calculate the required concentration of the preservations, which was evaluated experimentally based upon the USP/Ph. Eur./JP monograph. The mathematical calculations were able to predict the needed concentration of preservation in the presence of CDs; it clearly demonstrated the usefulness of including all underlying chemical equilibria in a mathematical model, such that the formulation design can be based on quantitative arguments. Copyright © 2015 Elsevier B.V. All rights reserved.

Deterministic and fuzzy-based methods to evaluate community resilience

NASA Astrophysics Data System (ADS)

Kammouh, Omar; Noori, Ali Zamani; Taurino, Veronica; Mahin, Stephen A.; Cimellaro, Gian Paolo

2018-04-01

Community resilience is becoming a growing concern for authorities and decision makers. This paper introduces two indicator-based methods to evaluate the resilience of communities based on the PEOPLES framework. PEOPLES is a multi-layered framework that defines community resilience using seven dimensions. Each of the dimensions is described through a set of resilience indicators collected from literature and they are linked to a measure allowing the analytical computation of the indicator's performance. The first method proposed in this paper requires data on previous disasters as an input and returns as output a performance function for each indicator and a performance function for the whole community. The second method exploits a knowledge-based fuzzy modeling for its implementation. This method allows a quantitative evaluation of the PEOPLES indicators using descriptive knowledge rather than deterministic data including the uncertainty involved in the analysis. The output of the fuzzy-based method is a resilience index for each indicator as well as a resilience index for the community. The paper also introduces an open source online tool in which the first method is implemented. A case study illustrating the application of the first method and the usage of the tool is also provided in the paper.

Simulating the Composite Propellant Manufacturing Process

NASA Technical Reports Server (NTRS)

Williamson, Suzanne; Love, Gregory

2000-01-01

There is a strategic interest in understanding how the propellant manufacturing process contributes to military capabilities outside the United States. The paper will discuss how system dynamics (SD) has been applied to rapidly assess the capabilities and vulnerabilities of a specific composite propellant production complex. These facilities produce a commonly used solid propellant with military applications. The authors will explain how an SD model can be configured to match a specific production facility followed by a series of scenarios designed to analyze operational vulnerabilities. By using the simulation model to rapidly analyze operational risks, the analyst gains a better understanding of production complexities. There are several benefits of developing SD models to simulate chemical production. SD is an effective tool for characterizing complex problems, especially the production process where the cascading effect of outages quickly taxes common understanding. By programming expert knowledge into an SD application, these tools are transformed into a knowledge management resource that facilitates rapid learning without requiring years of experience in production operations. It also permits the analyst to rapidly respond to crisis situations and other time-sensitive missions. Most importantly, the quantitative understanding gained from applying the SD model lends itself to strategic analysis and planning.

Optical Phase Measurements of Disorder Strength Link Microstructure to Cell Stiffness.

PubMed

Eldridge, Will J; Steelman, Zachary A; Loomis, Brianna; Wax, Adam

2017-02-28

There have been sustained efforts on the part of cell biologists to understand the mechanisms by which cells respond to mechanical stimuli. To this end, many rheological tools have been developed to characterize cellular stiffness. However, measurement of cellular viscoelastic properties has been limited in scope by the nature of most microrheological methods, which require direct mechanical contact, applied at the single-cell level. In this article, we describe, to our knowledge, a new analysis approach for quantitative phase imaging that relates refractive index variance to disorder strength, a parameter that is linked to cell stiffness. Significantly, both disorder strength and cell stiffness are measured with the same phase imaging system, presenting a unique alternative for label-free, noncontact, single-shot imaging of cellular rheologic properties. To demonstrate the potential applicability of the technique, we measure phase disorder strength and shear stiffness across five cellular populations with varying mechanical properties and demonstrate an inverse relationship between these two parameters. The existence of this relationship suggests that predictions of cell mechanical properties can be obtained from examining the disorder strength of cell structure using this, to our knowledge, novel, noncontact technique. Copyright © 2017 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Complementary and alternative medicine whole systems research: beyond identification of inadequacies of the RCT.

PubMed

Verhoef, Marja J; Lewith, George; Ritenbaugh, Cheryl; Boon, Heather; Fleishman, Susan; Leis, Anne

2005-09-01

Complementary and alternative medicine (CAM) often consists of whole systems of care (such as naturopathic medicine or traditional Chinese medicine (TCM)) that combine a wide range of modalities to provide individualised treatment. The complexity of these interventions and their potential synergistic effect requires innovative evaluative approaches. Model validity, which encompasses the need for research to adequately address the unique healing theory and therapeutic context of the intervention, is central to whole systems research (WSR). Classical randomised controlled trials (RCTs) are limited in their ability to address this need. Therefore, we propose a mixed methods approach that includes a range of relevant and holistic outcome measures. As the individual components of most whole systems are inseparable, complementary and synergistic, WSR must not focus only on the "active" ingredients of a system. An emerging WSR framework must be non-hierarchical, cyclical, flexible and adaptive, as knowledge creation is continuous, evolutionary and necessitates a continuous interplay between research methods and "phases" of knowledge. Finally, WSR must hold qualitative and quantitative research methods in equal esteem to realize their unique research contribution. Whole systems are complex and therefore no one method can adequately capture the meaning, process and outcomes of these interventions.

Three-dimensional segmentation of the tumor mass in computed tomographic images of neuroblastoma

NASA Astrophysics Data System (ADS)

Deglint, Hanford J.; Rangayyan, Rangaraj M.; Boag, Graham S.

2004-05-01

Tumor definition and diagnosis require the analysis of the spatial distribution and Hounsfield unit (HU) values of voxels in computed tomography (CT) images, coupled with a knowledge of normal anatomy. Segmentation of the tumor in neuroblastoma is complicated by the fact that the mass is almost always heterogeneous in nature; furthermore, viable tumor, necrosis, fibrosis, and normal tissue are often intermixed. Rather than attempt to separate these tissue types into distinct regions, we propose to explore methods to delineate the normal structures expected in abdominal CT images, remove them from further consideration, and examine the remaining parts of the images for the tumor mass. We explore the use of fuzzy connectivity for this purpose. Expert knowledge provided by the radiologist in the form of the expected structures and their shapes, HU values, and radiological characteristics are also incorporated in the segmentation algorithm. Segmentation and analysis of the tissue composition of the tumor can assist in quantitative assessment of the response to chemotherapy and in the planning of delayed surgery for resection of the tumor. The performance of the algorithm is evaluated using cases acquired from the Alberta Children's Hospital.

Nursery nutrition in Liverpool: an exploration of practice and nutritional analysis of food provided.

PubMed

Parker, Mike; Lloyd-Williams, Ffion; Weston, Gemma; Macklin, Julie; McFadden, Kate

2011-10-01

To explore nutrition and food provision in pre-school nurseries in order to develop interventions to promote healthy eating in pre-school settings. Quantitative data were gathered using questionnaires and professional menu analysis. In the community, at pre-school nurseries. All 130 nurseries across Liverpool were a sent questionnaire (38 % response rate); thirty-four menus were returned for analysis (26 % response rate). Only 21 % of respondents stated they had adequate knowledge on nutrition for pre-school children. Sixty-one per cent of cooks reported having received only a 'little' advice on healthy eating and this was often not specific to under-5 s nutrition. Fifty-seven per cent of nurseries did not regularly assess their menus for nutritional quality. The menu analysis revealed that all menus were deficient in energy, carbohydrate, Fe and Zn. Eighty-five per cent of nurseries had Na/salt levels which exceed guidelines. Nurseries require support on healthy eating at policy, knowledge and training levels. This support should address concerns relating to both menu planning and ingredients used in food provision and meet current guidelines on food provision for the under-5 s.

The Systems Biology Markup Language (SBML) Level 3 Package: Qualitative Models, Version 1, Release 1.

PubMed

Chaouiya, Claudine; Keating, Sarah M; Berenguier, Duncan; Naldi, Aurélien; Thieffry, Denis; van Iersel, Martijn P; Le Novère, Nicolas; Helikar, Tomáš

2015-09-04

Quantitative methods for modelling biological networks require an in-depth knowledge of the biochemical reactions and their stoichiometric and kinetic parameters. In many practical cases, this knowledge is missing. This has led to the development of several qualitative modelling methods using information such as, for example, gene expression data coming from functional genomic experiments. The SBML Level 3 Version 1 Core specification does not provide a mechanism for explicitly encoding qualitative models, but it does provide a mechanism for SBML packages to extend the Core specification and add additional syntactical constructs. The SBML Qualitative Models package for SBML Level 3 adds features so that qualitative models can be directly and explicitly encoded. The approach taken in this package is essentially based on the definition of regulatory or influence graphs. The SBML Qualitative Models package defines the structure and syntax necessary to describe qualitative models that associate discrete levels of activities with entity pools and the transitions between states that describe the processes involved. This is particularly suited to logical models (Boolean or multi-valued) and some classes of Petri net models can be encoded with the approach.

A comparative analysis of numerical approaches to the mechanics of elastic sheets

NASA Astrophysics Data System (ADS)

Taylor, Michael; Davidovitch, Benny; Qiu, Zhanlong; Bertoldi, Katia

2015-06-01

Numerically simulating deformations in thin elastic sheets is a challenging problem in computational mechanics due to destabilizing compressive stresses that result in wrinkling. Determining the location, structure, and evolution of wrinkles in these problems has important implications in design and is an area of increasing interest in the fields of physics and engineering. In this work, several numerical approaches previously proposed to model equilibrium deformations in thin elastic sheets are compared. These include standard finite element-based static post-buckling approaches as well as a recently proposed method based on dynamic relaxation, which are applied to the problem of an annular sheet with opposed tractions where wrinkling is a key feature. Numerical solutions are compared to analytic predictions of the ground state, enabling a quantitative evaluation of the predictive power of the various methods. Results indicate that static finite element approaches produce local minima that are highly sensitive to initial imperfections, relying on a priori knowledge of the equilibrium wrinkling pattern to generate optimal results. In contrast, dynamic relaxation is much less sensitive to initial imperfections and can generate low-energy solutions for a wide variety of loading conditions without requiring knowledge of the equilibrium solution beforehand.